diff --git "a/downstream/det/ssdlite_512.log" "b/downstream/det/ssdlite_512.log" new file mode 100644--- /dev/null +++ "b/downstream/det/ssdlite_512.log" @@ -0,0 +1,10076 @@ +2024/10/29 02:20:39 - mmengine - INFO - +------------------------------------------------------------ +System environment: + sys.platform: linux + Python: 3.9.5 (default, Jun 4 2021, 12:28:51) [GCC 7.5.0] + CUDA available: True + MUSA available: False + numpy_random_seed: 1980640073 + GPU 0,1,2,3,4,5,6,7: A100-SXM4-40GB + CUDA_HOME: /usr/local/cuda + NVCC: Cuda compilation tools, release 11.8, V11.8.89 + GCC: gcc (GCC) 7.3.1 20180303 (Red Hat 7.3.1-5) + PyTorch: 2.1.2+cu118 + PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201703 + - Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v3.1.1 (Git Hash 64f6bcbcbab628e96f33a62c3e975f8535a7bde4) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.8 + - NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_90,code=sm_90 + - CuDNN 8.7 + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=8.7.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-invalid-partial-specialization -Wno-unused-private-field -Wno-aligned-allocation-unavailable -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.1.2, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + + TorchVision: 0.16.2+cu118 + OpenCV: 4.9.0 + MMEngine: 0.10.5 + +Runtime environment: + cudnn_benchmark: True + mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} + dist_cfg: {'backend': 'nccl'} + seed: 1980640073 + Distributed launcher: pytorch + Distributed training: True + GPU number: 8 +------------------------------------------------------------ + +2024/10/29 02:20:40 - mmengine - INFO - Config: +auto_scale_lr = dict(base_batch_size=192, enable=False) +backend_args = None +bs_ratio = 1 +custom_hooks = [ + dict(type='NumClassCheckHook'), + dict(interval=50, priority='VERY_LOW', type='CheckInvalidLossHook'), +] +data_preprocessor = dict( + bgr_to_rgb=True, + mean=[ + 123.675, + 116.28, + 103.53, + ], + pad_size_divisor=1, + std=[ + 58.395, + 57.12, + 57.375, + ], + type='DetDataPreprocessor') +data_root = 'data/coco/' +dataset_type = 'CocoDataset' +default_hooks = dict( + checkpoint=dict(interval=1, type='CheckpointHook'), + logger=dict(interval=50, type='LoggerHook'), + param_scheduler=dict(type='ParamSchedulerHook'), + sampler_seed=dict(type='DistSamplerSeedHook'), + timer=dict(type='IterTimerHook'), + visualization=dict(type='DetVisualizationHook')) +default_scope = 'mmdet' +env_cfg = dict( + cudnn_benchmark=True, + dist_cfg=dict(backend='nccl'), + mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0)) +input_size = 512 +launcher = 'pytorch' +load_from = 'work_dirs/ssdlite_mobilemamba_b1_8gpu_2lr_512_coco/epoch_2.pth' +log_level = 'INFO' +log_processor = dict(by_epoch=True, type='LogProcessor', window_size=50) +max_epochs = 120 +model = dict( + backbone=dict( + depth=[ + 2, + 3, + 2, + ], + distillation=False, + down_ops=[ + [ + 'subsample', + 2, + ], + [ + 'subsample', + 2, + ], + [ + '', + ], + ], + drop_path=0.03, + embed_dim=[ + 200, + 376, + 448, + ], + forward_type='v052d', + frozen_stages=-1, + global_ratio=[ + 0.8, + 0.7, + 0.6, + ], + img_size=224, + in_chans=3, + kernels=[ + 7, + 5, + 3, + ], + local_ratio=[ + 0.2, + 0.2, + 0.3, + ], + norm_eval=True, + num_classes=80, + num_heads=[ + 4, + 4, + 4, + ], + out_indices=( + 1, + 2, + ), + patch_size=16, + pretrained= + '../../weights/MobileMamba_B1/mobilemamba_b1.pth', + ssm_ratio=2, + stages=[ + 's', + 's', + 's', + ], + sync_bn=False, + type='MobileMamba', + window_size=[ + 7, + 7, + 7, + ]), + bbox_head=dict( + act_cfg=dict(type='ReLU6'), + anchor_generator=dict( + max_sizes=[ + 100, + 150, + 202, + 253, + 304, + 320, + ], + min_sizes=[ + 48, + 100, + 150, + 202, + 253, + 304, + ], + ratios=[ + [ + 2, + 3, + ], + [ + 2, + 3, + ], + [ + 2, + 3, + ], + [ + 2, + 3, + ], + [ + 2, + 3, + ], + [ + 2, + 3, + ], + ], + scale_major=False, + strides=[ + 16, + 32, + 64, + 107, + 160, + 320, + ], + type='SSDAnchorGenerator'), + bbox_coder=dict( + target_means=[ + 0.0, + 0.0, + 0.0, + 0.0, + ], + target_stds=[ + 0.1, + 0.1, + 0.2, + 0.2, + ], + type='DeltaXYWHBBoxCoder'), + in_channels=( + 200, + 376, + 512, + 256, + 256, + 128, + ), + init_cfg=dict(layer='Conv2d', std=0.001, type='Normal'), + norm_cfg=dict(eps=0.001, momentum=0.03, type='BN'), + num_classes=80, + type='SSDHead', + use_depthwise=True), + data_preprocessor=dict( + bgr_to_rgb=True, + mean=[ + 123.675, + 116.28, + 103.53, + ], + pad_size_divisor=1, + std=[ + 58.395, + 57.12, + 57.375, + ], + type='DetDataPreprocessor'), + neck=dict( + act_cfg=dict(type='ReLU6'), + in_channels=( + 200, + 376, + ), + init_cfg=dict(layer='Conv2d', std=0.03, type='TruncNormal'), + l2_norm_scale=None, + level_paddings=( + 1, + 1, + 1, + 1, + ), + level_strides=( + 2, + 2, + 2, + 2, + ), + norm_cfg=dict(eps=0.001, momentum=0.03, type='BN'), + out_channels=( + 200, + 376, + 512, + 256, + 256, + 128, + ), + type='SSDNeck', + use_depthwise=True), + test_cfg=dict( + max_per_img=200, + min_bbox_size=0, + nms=dict(iou_threshold=0.45, type='nms'), + nms_pre=1000, + score_thr=0.02), + train_cfg=dict( + allowed_border=-1, + assigner=dict( + gt_max_assign_all=False, + ignore_iof_thr=-1, + min_pos_iou=0.0, + neg_iou_thr=0.5, + pos_iou_thr=0.5, + type='MaxIoUAssigner'), + debug=False, + neg_pos_ratio=3, + pos_weight=-1, + sampler=dict(type='PseudoSampler'), + smoothl1_beta=1.0), + type='SingleStageDetector') +optim_wrapper = dict( + clip_grad=dict(max_norm=0.1, norm_type=2), + optimizer=dict( + betas=( + 0.9, + 0.999, + ), + lr=0.0024000000000000002, + type='AdamW', + weight_decay=0.05), + paramwise_cfg=dict( + custom_keys=dict( + absolute_pos_embed=dict(decay_mult=0.0), + norm=dict(decay_mult=0.0), + relative_position_bias_table=dict(decay_mult=0.0))), + type='OptimWrapper') +param_scheduler = [ + dict( + begin=0, by_epoch=False, end=500, start_factor=1e-05, type='LinearLR'), + dict( + T_max=60, + begin=60, + by_epoch=True, + end=120, + eta_min=0, + type='CosineAnnealingLR'), +] +ratio = 1 +resume = True +test_cfg = dict(type='TestLoop') +test_dataloader = dict( + batch_size=8, + dataset=dict( + ann_file='annotations/instances_val2017.json', + backend_args=None, + data_prefix=dict(img='val2017/'), + data_root='data/coco/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(keep_ratio=False, scale=( + 512, + 512, + ), type='Resize'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + ), + type='PackDetInputs'), + ], + test_mode=True, + type='CocoDataset'), + drop_last=False, + num_workers=2, + persistent_workers=True, + sampler=dict(shuffle=False, type='DefaultSampler')) +test_evaluator = dict( + ann_file='data/coco/annotations/instances_val2017.json', + backend_args=None, + format_only=False, + metric='bbox', + type='CocoMetric') +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict(keep_ratio=False, scale=( + 512, + 512, + ), type='Resize'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + ), + type='PackDetInputs'), +] +train_cfg = dict(max_epochs=120, type='EpochBasedTrainLoop', val_interval=5) +train_dataloader = dict( + batch_sampler=None, + batch_size=24, + dataset=dict( + dataset=dict( + ann_file='annotations/instances_train2017.json', + data_prefix=dict(img='train2017/'), + data_root='data/coco/', + filter_cfg=dict(filter_empty_gt=True, min_size=32), + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + mean=[ + 123.675, + 116.28, + 103.53, + ], + ratio_range=( + 1, + 4, + ), + to_rgb=True, + type='Expand'), + dict( + min_crop_size=0.3, + min_ious=( + 0.1, + 0.3, + 0.5, + 0.7, + 0.9, + ), + type='MinIoURandomCrop'), + dict(keep_ratio=False, scale=( + 512, + 512, + ), type='Resize'), + dict(prob=0.5, type='RandomFlip'), + dict( + brightness_delta=32, + contrast_range=( + 0.5, + 1.5, + ), + hue_delta=18, + saturation_range=( + 0.5, + 1.5, + ), + type='PhotoMetricDistortion'), + dict(type='PackDetInputs'), + ], + type='CocoDataset'), + times=5, + type='RepeatDataset'), + num_workers=12, + persistent_workers=True, + sampler=dict(shuffle=True, type='DefaultSampler')) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + mean=[ + 123.675, + 116.28, + 103.53, + ], + ratio_range=( + 1, + 4, + ), + to_rgb=True, + type='Expand'), + dict( + min_crop_size=0.3, + min_ious=( + 0.1, + 0.3, + 0.5, + 0.7, + 0.9, + ), + type='MinIoURandomCrop'), + dict(keep_ratio=False, scale=( + 512, + 512, + ), type='Resize'), + dict(prob=0.5, type='RandomFlip'), + dict( + brightness_delta=32, + contrast_range=( + 0.5, + 1.5, + ), + hue_delta=18, + saturation_range=( + 0.5, + 1.5, + ), + type='PhotoMetricDistortion'), + dict(type='PackDetInputs'), +] +val_cfg = dict(type='ValLoop') +val_dataloader = dict( + batch_size=8, + dataset=dict( + ann_file='annotations/instances_val2017.json', + backend_args=None, + data_prefix=dict(img='val2017/'), + data_root='data/coco/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(keep_ratio=False, scale=( + 512, + 512, + ), type='Resize'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + ), + type='PackDetInputs'), + ], + test_mode=True, + type='CocoDataset'), + drop_last=False, + num_workers=2, + persistent_workers=True, + sampler=dict(shuffle=False, type='DefaultSampler')) +val_evaluator = dict( + ann_file='data/coco/annotations/instances_val2017.json', + backend_args=None, + format_only=False, + metric='bbox', + type='CocoMetric') +vis_backends = [ + dict(type='LocalVisBackend'), +] +visualizer = dict( + name='visualizer', + type='DetLocalVisualizer', + vis_backends=[ + dict(type='LocalVisBackend'), + ]) +work_dir = './work_dirs/ssdlite_mobilemamba_b1_8gpu_2lr_512_coco' + +2024/10/29 02:20:44 - mmengine - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) RuntimeInfoHook +(BELOW_NORMAL) LoggerHook + -------------------- +before_train: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(VERY_LOW ) CheckpointHook + -------------------- +before_train_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) NumClassCheckHook + -------------------- +before_train_iter: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook + -------------------- +after_train_iter: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook +(VERY_LOW ) CheckInvalidLossHook + -------------------- +after_train_epoch: +(NORMAL ) IterTimerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +before_val: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +before_val_epoch: +(NORMAL ) IterTimerHook +(NORMAL ) NumClassCheckHook + -------------------- +before_val_iter: +(NORMAL ) IterTimerHook + -------------------- +after_val_iter: +(NORMAL ) IterTimerHook +(NORMAL ) DetVisualizationHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_val_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +after_val: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +after_train: +(VERY_HIGH ) RuntimeInfoHook +(VERY_LOW ) CheckpointHook + -------------------- +before_test: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +before_test_epoch: +(NORMAL ) IterTimerHook + -------------------- +before_test_iter: +(NORMAL ) IterTimerHook + -------------------- +after_test_iter: +(NORMAL ) IterTimerHook +(NORMAL ) DetVisualizationHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_test_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_test: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +after_run: +(BELOW_NORMAL) LoggerHook + -------------------- +2024/10/29 02:21:08 - mmengine - WARNING - backbone.blocks1.0.mixer.m.attn.global_op.wt_filter is skipped since its requires_grad=False +2024/10/29 02:21:08 - mmengine - WARNING - backbone.blocks1.0.mixer.m.attn.global_op.iwt_filter is skipped since its requires_grad=False +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_norm.weight:lr=0.0024000000000000002 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_norm.weight:weight_decay=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_norm.weight:decay_mult=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_norm.bias:lr=0.0024000000000000002 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_norm.bias:weight_decay=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_norm.bias:decay_mult=0.0 +2024/10/29 02:21:08 - mmengine - WARNING - backbone.blocks1.1.mixer.m.attn.global_op.wt_filter is skipped since its requires_grad=False +2024/10/29 02:21:08 - mmengine - WARNING - backbone.blocks1.1.mixer.m.attn.global_op.iwt_filter is skipped since its requires_grad=False +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_norm.weight:lr=0.0024000000000000002 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_norm.weight:weight_decay=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_norm.weight:decay_mult=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_norm.bias:lr=0.0024000000000000002 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_norm.bias:weight_decay=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_norm.bias:decay_mult=0.0 +2024/10/29 02:21:08 - mmengine - WARNING - backbone.blocks2.3.mixer.m.attn.global_op.wt_filter is skipped since its requires_grad=False +2024/10/29 02:21:08 - mmengine - WARNING - backbone.blocks2.3.mixer.m.attn.global_op.iwt_filter is skipped since its requires_grad=False +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_norm.weight:lr=0.0024000000000000002 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_norm.weight:weight_decay=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_norm.weight:decay_mult=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_norm.bias:lr=0.0024000000000000002 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_norm.bias:weight_decay=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_norm.bias:decay_mult=0.0 +2024/10/29 02:21:08 - mmengine - WARNING - backbone.blocks2.4.mixer.m.attn.global_op.wt_filter is skipped since its requires_grad=False +2024/10/29 02:21:08 - mmengine - WARNING - backbone.blocks2.4.mixer.m.attn.global_op.iwt_filter is skipped since its requires_grad=False +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_norm.weight:lr=0.0024000000000000002 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_norm.weight:weight_decay=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_norm.weight:decay_mult=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_norm.bias:lr=0.0024000000000000002 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_norm.bias:weight_decay=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_norm.bias:decay_mult=0.0 +2024/10/29 02:21:08 - mmengine - WARNING - backbone.blocks2.5.mixer.m.attn.global_op.wt_filter is skipped since its requires_grad=False +2024/10/29 02:21:08 - mmengine - WARNING - backbone.blocks2.5.mixer.m.attn.global_op.iwt_filter is skipped since its requires_grad=False +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_norm.weight:lr=0.0024000000000000002 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_norm.weight:weight_decay=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_norm.weight:decay_mult=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_norm.bias:lr=0.0024000000000000002 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_norm.bias:weight_decay=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_norm.bias:decay_mult=0.0 +2024/10/29 02:21:08 - mmengine - WARNING - backbone.blocks3.3.mixer.m.attn.global_op.wt_filter is skipped since its requires_grad=False +2024/10/29 02:21:08 - mmengine - WARNING - backbone.blocks3.3.mixer.m.attn.global_op.iwt_filter is skipped since its requires_grad=False +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_norm.weight:lr=0.0024000000000000002 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_norm.weight:weight_decay=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_norm.weight:decay_mult=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_norm.bias:lr=0.0024000000000000002 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_norm.bias:weight_decay=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_norm.bias:decay_mult=0.0 +2024/10/29 02:21:08 - mmengine - WARNING - backbone.blocks3.4.mixer.m.attn.global_op.wt_filter is skipped since its requires_grad=False +2024/10/29 02:21:08 - mmengine - WARNING - backbone.blocks3.4.mixer.m.attn.global_op.iwt_filter is skipped since its requires_grad=False +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_norm.weight:lr=0.0024000000000000002 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_norm.weight:weight_decay=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_norm.weight:decay_mult=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_norm.bias:lr=0.0024000000000000002 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_norm.bias:weight_decay=0.0 +2024/10/29 02:21:08 - mmengine - INFO - paramwise_options -- backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_norm.bias:decay_mult=0.0 +Name of parameter - Initialization information + +backbone.patch_embed.0.c.weight - torch.Size([25, 3, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.patch_embed.0.bn.weight - torch.Size([25]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.patch_embed.0.bn.bias - torch.Size([25]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.patch_embed.2.c.weight - torch.Size([50, 25, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.patch_embed.2.bn.weight - torch.Size([50]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.patch_embed.2.bn.bias - torch.Size([50]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.patch_embed.4.c.weight - torch.Size([100, 50, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.patch_embed.4.bn.weight - torch.Size([100]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.patch_embed.4.bn.bias - torch.Size([100]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.patch_embed.6.c.weight - torch.Size([200, 100, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.patch_embed.6.bn.weight - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.patch_embed.6.bn.bias - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.dw0.m.c.weight - torch.Size([200, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.dw0.m.bn.weight - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.dw0.m.bn.bias - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.ffn0.m.pw1.c.weight - torch.Size([400, 200, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.ffn0.m.pw1.bn.weight - torch.Size([400]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.ffn0.m.pw1.bn.bias - torch.Size([400]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.ffn0.m.pw2.c.weight - torch.Size([200, 400, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.ffn0.m.pw2.bn.weight - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.ffn0.m.pw2.bn.bias - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.local_op.dwconv3x3.weight - torch.Size([40, 1, 7, 7]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.local_op.bn1.weight - torch.Size([40]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.local_op.bn1.bias - torch.Size([40]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.local_op.dwconv1x1.weight - torch.Size([40, 1, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.local_op.bn2.weight - torch.Size([40]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.local_op.bn2.bias - torch.Size([40]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.wt_filter - torch.Size([640, 1, 2, 2]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.iwt_filter - torch.Size([640, 1, 2, 2]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.global_atten.x_proj_weight - torch.Size([2, 12, 320]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.global_atten.Ds - torch.Size([640]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.global_atten.A_logs - torch.Size([640, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.global_atten.dt_projs_weight - torch.Size([2, 320, 10]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.global_atten.dt_projs_bias - torch.Size([2, 320]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_norm.weight - torch.Size([320]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_norm.bias - torch.Size([320]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.global_atten.in_proj.c.weight - torch.Size([640, 160, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.global_atten.in_proj.bn.weight - torch.Size([640]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.global_atten.in_proj.bn.bias - torch.Size([640]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.global_atten.conv2d.weight - torch.Size([320, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.global_atten.conv2d.bias - torch.Size([320]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_proj.c.weight - torch.Size([160, 320, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_proj.bn.weight - torch.Size([160]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_proj.bn.bias - torch.Size([160]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.base_scale.weight - torch.Size([1, 160, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.wavelet_convs.0.weight - torch.Size([640, 1, 7, 7]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.global_op.wavelet_scale.0.weight - torch.Size([1, 640, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.proj.1.c.weight - torch.Size([200, 200, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.proj.1.bn.weight - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.mixer.m.attn.proj.1.bn.bias - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.dw1.m.c.weight - torch.Size([200, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.dw1.m.bn.weight - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.dw1.m.bn.bias - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.ffn1.m.pw1.c.weight - torch.Size([400, 200, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.ffn1.m.pw1.bn.weight - torch.Size([400]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.ffn1.m.pw1.bn.bias - torch.Size([400]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.ffn1.m.pw2.c.weight - torch.Size([200, 400, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.ffn1.m.pw2.bn.weight - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.0.ffn1.m.pw2.bn.bias - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.dw0.m.c.weight - torch.Size([200, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.dw0.m.bn.weight - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.dw0.m.bn.bias - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.ffn0.m.pw1.c.weight - torch.Size([400, 200, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.ffn0.m.pw1.bn.weight - torch.Size([400]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.ffn0.m.pw1.bn.bias - torch.Size([400]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.ffn0.m.pw2.c.weight - torch.Size([200, 400, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.ffn0.m.pw2.bn.weight - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.ffn0.m.pw2.bn.bias - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.local_op.dwconv3x3.weight - torch.Size([40, 1, 7, 7]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.local_op.bn1.weight - torch.Size([40]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.local_op.bn1.bias - torch.Size([40]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.local_op.dwconv1x1.weight - torch.Size([40, 1, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.local_op.bn2.weight - torch.Size([40]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.local_op.bn2.bias - torch.Size([40]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.wt_filter - torch.Size([640, 1, 2, 2]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.iwt_filter - torch.Size([640, 1, 2, 2]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.global_atten.x_proj_weight - torch.Size([2, 12, 320]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.global_atten.Ds - torch.Size([640]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.global_atten.A_logs - torch.Size([640, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.global_atten.dt_projs_weight - torch.Size([2, 320, 10]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.global_atten.dt_projs_bias - torch.Size([2, 320]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_norm.weight - torch.Size([320]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_norm.bias - torch.Size([320]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.global_atten.in_proj.c.weight - torch.Size([640, 160, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.global_atten.in_proj.bn.weight - torch.Size([640]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.global_atten.in_proj.bn.bias - torch.Size([640]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.global_atten.conv2d.weight - torch.Size([320, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.global_atten.conv2d.bias - torch.Size([320]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_proj.c.weight - torch.Size([160, 320, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_proj.bn.weight - torch.Size([160]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_proj.bn.bias - torch.Size([160]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.base_scale.weight - torch.Size([1, 160, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.wavelet_convs.0.weight - torch.Size([640, 1, 7, 7]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.global_op.wavelet_scale.0.weight - torch.Size([1, 640, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.proj.1.c.weight - torch.Size([200, 200, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.proj.1.bn.weight - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.mixer.m.attn.proj.1.bn.bias - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.dw1.m.c.weight - torch.Size([200, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.dw1.m.bn.weight - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.dw1.m.bn.bias - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.ffn1.m.pw1.c.weight - torch.Size([400, 200, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.ffn1.m.pw1.bn.weight - torch.Size([400]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.ffn1.m.pw1.bn.bias - torch.Size([400]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.ffn1.m.pw2.c.weight - torch.Size([200, 400, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.ffn1.m.pw2.bn.weight - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks1.1.ffn1.m.pw2.bn.bias - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.0.0.m.c.weight - torch.Size([200, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.0.0.m.bn.weight - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.0.0.m.bn.bias - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.0.1.m.pw1.c.weight - torch.Size([400, 200, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.0.1.m.pw1.bn.weight - torch.Size([400]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.0.1.m.pw1.bn.bias - torch.Size([400]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.0.1.m.pw2.c.weight - torch.Size([200, 400, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.0.1.m.pw2.bn.weight - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.0.1.m.pw2.bn.bias - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.1.conv1.c.weight - torch.Size([800, 200, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.1.conv1.bn.weight - torch.Size([800]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.1.conv1.bn.bias - torch.Size([800]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.1.conv2.c.weight - torch.Size([800, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.1.conv2.bn.weight - torch.Size([800]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.1.conv2.bn.bias - torch.Size([800]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.1.se.fc1.weight - torch.Size([200, 800, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.1.se.fc1.bias - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.1.se.fc2.weight - torch.Size([800, 200, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.1.se.fc2.bias - torch.Size([800]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.1.conv3.c.weight - torch.Size([376, 800, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.1.conv3.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.1.conv3.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.2.0.m.c.weight - torch.Size([376, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.2.0.m.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.2.0.m.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.2.1.m.pw1.c.weight - torch.Size([752, 376, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.2.1.m.pw1.bn.weight - torch.Size([752]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.2.1.m.pw1.bn.bias - torch.Size([752]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.2.1.m.pw2.c.weight - torch.Size([376, 752, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.2.1.m.pw2.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.2.1.m.pw2.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.dw0.m.c.weight - torch.Size([376, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.dw0.m.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.dw0.m.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.ffn0.m.pw1.c.weight - torch.Size([752, 376, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.ffn0.m.pw1.bn.weight - torch.Size([752]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.ffn0.m.pw1.bn.bias - torch.Size([752]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.ffn0.m.pw2.c.weight - torch.Size([376, 752, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.ffn0.m.pw2.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.ffn0.m.pw2.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.local_op.dwconv3x3.weight - torch.Size([75, 1, 5, 5]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.local_op.bn1.weight - torch.Size([75]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.local_op.bn1.bias - torch.Size([75]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.local_op.dwconv1x1.weight - torch.Size([75, 1, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.local_op.bn2.weight - torch.Size([75]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.local_op.bn2.bias - torch.Size([75]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.wt_filter - torch.Size([1024, 1, 2, 2]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.iwt_filter - torch.Size([1024, 1, 2, 2]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.global_atten.x_proj_weight - torch.Size([2, 18, 512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.global_atten.Ds - torch.Size([1024]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.global_atten.A_logs - torch.Size([1024, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.global_atten.dt_projs_weight - torch.Size([2, 512, 16]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.global_atten.dt_projs_bias - torch.Size([2, 512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_norm.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_norm.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.global_atten.in_proj.c.weight - torch.Size([1024, 256, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.global_atten.in_proj.bn.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.global_atten.in_proj.bn.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.global_atten.conv2d.weight - torch.Size([512, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.global_atten.conv2d.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_proj.c.weight - torch.Size([256, 512, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_proj.bn.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_proj.bn.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.base_scale.weight - torch.Size([1, 256, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.wavelet_convs.0.weight - torch.Size([1024, 1, 5, 5]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.global_op.wavelet_scale.0.weight - torch.Size([1, 1024, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.proj.1.c.weight - torch.Size([376, 376, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.proj.1.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.mixer.m.attn.proj.1.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.dw1.m.c.weight - torch.Size([376, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.dw1.m.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.dw1.m.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.ffn1.m.pw1.c.weight - torch.Size([752, 376, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.ffn1.m.pw1.bn.weight - torch.Size([752]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.ffn1.m.pw1.bn.bias - torch.Size([752]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.ffn1.m.pw2.c.weight - torch.Size([376, 752, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.ffn1.m.pw2.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.3.ffn1.m.pw2.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.dw0.m.c.weight - torch.Size([376, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.dw0.m.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.dw0.m.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.ffn0.m.pw1.c.weight - torch.Size([752, 376, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.ffn0.m.pw1.bn.weight - torch.Size([752]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.ffn0.m.pw1.bn.bias - torch.Size([752]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.ffn0.m.pw2.c.weight - torch.Size([376, 752, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.ffn0.m.pw2.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.ffn0.m.pw2.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.local_op.dwconv3x3.weight - torch.Size([75, 1, 5, 5]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.local_op.bn1.weight - torch.Size([75]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.local_op.bn1.bias - torch.Size([75]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.local_op.dwconv1x1.weight - torch.Size([75, 1, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.local_op.bn2.weight - torch.Size([75]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.local_op.bn2.bias - torch.Size([75]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.wt_filter - torch.Size([1024, 1, 2, 2]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.iwt_filter - torch.Size([1024, 1, 2, 2]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.global_atten.x_proj_weight - torch.Size([2, 18, 512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.global_atten.Ds - torch.Size([1024]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.global_atten.A_logs - torch.Size([1024, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.global_atten.dt_projs_weight - torch.Size([2, 512, 16]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.global_atten.dt_projs_bias - torch.Size([2, 512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_norm.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_norm.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.global_atten.in_proj.c.weight - torch.Size([1024, 256, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.global_atten.in_proj.bn.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.global_atten.in_proj.bn.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.global_atten.conv2d.weight - torch.Size([512, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.global_atten.conv2d.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_proj.c.weight - torch.Size([256, 512, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_proj.bn.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_proj.bn.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.base_scale.weight - torch.Size([1, 256, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.wavelet_convs.0.weight - torch.Size([1024, 1, 5, 5]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.global_op.wavelet_scale.0.weight - torch.Size([1, 1024, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.proj.1.c.weight - torch.Size([376, 376, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.proj.1.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.mixer.m.attn.proj.1.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.dw1.m.c.weight - torch.Size([376, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.dw1.m.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.dw1.m.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.ffn1.m.pw1.c.weight - torch.Size([752, 376, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.ffn1.m.pw1.bn.weight - torch.Size([752]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.ffn1.m.pw1.bn.bias - torch.Size([752]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.ffn1.m.pw2.c.weight - torch.Size([376, 752, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.ffn1.m.pw2.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.4.ffn1.m.pw2.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.dw0.m.c.weight - torch.Size([376, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.dw0.m.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.dw0.m.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.ffn0.m.pw1.c.weight - torch.Size([752, 376, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.ffn0.m.pw1.bn.weight - torch.Size([752]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.ffn0.m.pw1.bn.bias - torch.Size([752]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.ffn0.m.pw2.c.weight - torch.Size([376, 752, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.ffn0.m.pw2.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.ffn0.m.pw2.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.local_op.dwconv3x3.weight - torch.Size([75, 1, 5, 5]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.local_op.bn1.weight - torch.Size([75]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.local_op.bn1.bias - torch.Size([75]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.local_op.dwconv1x1.weight - torch.Size([75, 1, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.local_op.bn2.weight - torch.Size([75]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.local_op.bn2.bias - torch.Size([75]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.wt_filter - torch.Size([1024, 1, 2, 2]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.iwt_filter - torch.Size([1024, 1, 2, 2]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.global_atten.x_proj_weight - torch.Size([2, 18, 512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.global_atten.Ds - torch.Size([1024]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.global_atten.A_logs - torch.Size([1024, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.global_atten.dt_projs_weight - torch.Size([2, 512, 16]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.global_atten.dt_projs_bias - torch.Size([2, 512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_norm.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_norm.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.global_atten.in_proj.c.weight - torch.Size([1024, 256, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.global_atten.in_proj.bn.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.global_atten.in_proj.bn.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.global_atten.conv2d.weight - torch.Size([512, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.global_atten.conv2d.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_proj.c.weight - torch.Size([256, 512, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_proj.bn.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_proj.bn.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.base_scale.weight - torch.Size([1, 256, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.wavelet_convs.0.weight - torch.Size([1024, 1, 5, 5]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.global_op.wavelet_scale.0.weight - torch.Size([1, 1024, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.proj.1.c.weight - torch.Size([376, 376, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.proj.1.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.mixer.m.attn.proj.1.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.dw1.m.c.weight - torch.Size([376, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.dw1.m.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.dw1.m.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.ffn1.m.pw1.c.weight - torch.Size([752, 376, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.ffn1.m.pw1.bn.weight - torch.Size([752]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.ffn1.m.pw1.bn.bias - torch.Size([752]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.ffn1.m.pw2.c.weight - torch.Size([376, 752, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.ffn1.m.pw2.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks2.5.ffn1.m.pw2.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.0.0.m.c.weight - torch.Size([376, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.0.0.m.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.0.0.m.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.0.1.m.pw1.c.weight - torch.Size([752, 376, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.0.1.m.pw1.bn.weight - torch.Size([752]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.0.1.m.pw1.bn.bias - torch.Size([752]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.0.1.m.pw2.c.weight - torch.Size([376, 752, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.0.1.m.pw2.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.0.1.m.pw2.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.1.conv1.c.weight - torch.Size([1504, 376, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.1.conv1.bn.weight - torch.Size([1504]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.1.conv1.bn.bias - torch.Size([1504]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.1.conv2.c.weight - torch.Size([1504, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.1.conv2.bn.weight - torch.Size([1504]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.1.conv2.bn.bias - torch.Size([1504]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.1.se.fc1.weight - torch.Size([376, 1504, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.1.se.fc1.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.1.se.fc2.weight - torch.Size([1504, 376, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.1.se.fc2.bias - torch.Size([1504]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.1.conv3.c.weight - torch.Size([448, 1504, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.1.conv3.bn.weight - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.1.conv3.bn.bias - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.2.0.m.c.weight - torch.Size([448, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.2.0.m.bn.weight - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.2.0.m.bn.bias - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.2.1.m.pw1.c.weight - torch.Size([896, 448, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.2.1.m.pw1.bn.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.2.1.m.pw1.bn.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.2.1.m.pw2.c.weight - torch.Size([448, 896, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.2.1.m.pw2.bn.weight - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.2.1.m.pw2.bn.bias - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.dw0.m.c.weight - torch.Size([448, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.dw0.m.bn.weight - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.dw0.m.bn.bias - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.ffn0.m.pw1.c.weight - torch.Size([896, 448, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.ffn0.m.pw1.bn.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.ffn0.m.pw1.bn.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.ffn0.m.pw2.c.weight - torch.Size([448, 896, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.ffn0.m.pw2.bn.weight - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.ffn0.m.pw2.bn.bias - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.local_op.dwconv3x3.weight - torch.Size([134, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.local_op.bn1.weight - torch.Size([134]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.local_op.bn1.bias - torch.Size([134]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.local_op.dwconv1x1.weight - torch.Size([134, 1, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.local_op.bn2.weight - torch.Size([134]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.local_op.bn2.bias - torch.Size([134]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.wt_filter - torch.Size([1088, 1, 2, 2]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.iwt_filter - torch.Size([1088, 1, 2, 2]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.global_atten.x_proj_weight - torch.Size([2, 19, 544]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.global_atten.Ds - torch.Size([1088]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.global_atten.A_logs - torch.Size([1088, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.global_atten.dt_projs_weight - torch.Size([2, 544, 17]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.global_atten.dt_projs_bias - torch.Size([2, 544]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_norm.weight - torch.Size([544]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_norm.bias - torch.Size([544]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.global_atten.in_proj.c.weight - torch.Size([1088, 272, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.global_atten.in_proj.bn.weight - torch.Size([1088]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.global_atten.in_proj.bn.bias - torch.Size([1088]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.global_atten.conv2d.weight - torch.Size([544, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.global_atten.conv2d.bias - torch.Size([544]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_proj.c.weight - torch.Size([272, 544, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_proj.bn.weight - torch.Size([272]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_proj.bn.bias - torch.Size([272]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.base_scale.weight - torch.Size([1, 272, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.wavelet_convs.0.weight - torch.Size([1088, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.global_op.wavelet_scale.0.weight - torch.Size([1, 1088, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.proj.1.c.weight - torch.Size([448, 448, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.proj.1.bn.weight - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.mixer.m.attn.proj.1.bn.bias - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.dw1.m.c.weight - torch.Size([448, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.dw1.m.bn.weight - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.dw1.m.bn.bias - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.ffn1.m.pw1.c.weight - torch.Size([896, 448, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.ffn1.m.pw1.bn.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.ffn1.m.pw1.bn.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.ffn1.m.pw2.c.weight - torch.Size([448, 896, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.ffn1.m.pw2.bn.weight - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.3.ffn1.m.pw2.bn.bias - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.dw0.m.c.weight - torch.Size([448, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.dw0.m.bn.weight - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.dw0.m.bn.bias - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.ffn0.m.pw1.c.weight - torch.Size([896, 448, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.ffn0.m.pw1.bn.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.ffn0.m.pw1.bn.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.ffn0.m.pw2.c.weight - torch.Size([448, 896, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.ffn0.m.pw2.bn.weight - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.ffn0.m.pw2.bn.bias - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.local_op.dwconv3x3.weight - torch.Size([134, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.local_op.bn1.weight - torch.Size([134]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.local_op.bn1.bias - torch.Size([134]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.local_op.dwconv1x1.weight - torch.Size([134, 1, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.local_op.bn2.weight - torch.Size([134]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.local_op.bn2.bias - torch.Size([134]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.wt_filter - torch.Size([1088, 1, 2, 2]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.iwt_filter - torch.Size([1088, 1, 2, 2]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.global_atten.x_proj_weight - torch.Size([2, 19, 544]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.global_atten.Ds - torch.Size([1088]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.global_atten.A_logs - torch.Size([1088, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.global_atten.dt_projs_weight - torch.Size([2, 544, 17]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.global_atten.dt_projs_bias - torch.Size([2, 544]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_norm.weight - torch.Size([544]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_norm.bias - torch.Size([544]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.global_atten.in_proj.c.weight - torch.Size([1088, 272, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.global_atten.in_proj.bn.weight - torch.Size([1088]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.global_atten.in_proj.bn.bias - torch.Size([1088]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.global_atten.conv2d.weight - torch.Size([544, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.global_atten.conv2d.bias - torch.Size([544]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_proj.c.weight - torch.Size([272, 544, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_proj.bn.weight - torch.Size([272]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_proj.bn.bias - torch.Size([272]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.base_scale.weight - torch.Size([1, 272, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.wavelet_convs.0.weight - torch.Size([1088, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.global_op.wavelet_scale.0.weight - torch.Size([1, 1088, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.proj.1.c.weight - torch.Size([448, 448, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.proj.1.bn.weight - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.mixer.m.attn.proj.1.bn.bias - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.dw1.m.c.weight - torch.Size([448, 1, 3, 3]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.dw1.m.bn.weight - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.dw1.m.bn.bias - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.ffn1.m.pw1.c.weight - torch.Size([896, 448, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.ffn1.m.pw1.bn.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.ffn1.m.pw1.bn.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.ffn1.m.pw2.c.weight - torch.Size([448, 896, 1, 1]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.ffn1.m.pw2.bn.weight - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +backbone.blocks3.4.ffn1.m.pw2.bn.bias - torch.Size([448]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.0.0.conv.weight - torch.Size([256, 376, 1, 1]): +TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 + +neck.extra_layers.0.0.bn.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.0.0.bn.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.0.1.depthwise_conv.conv.weight - torch.Size([256, 1, 3, 3]): +TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 + +neck.extra_layers.0.1.depthwise_conv.bn.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.0.1.depthwise_conv.bn.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.0.1.pointwise_conv.conv.weight - torch.Size([512, 256, 1, 1]): +TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 + +neck.extra_layers.0.1.pointwise_conv.bn.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.0.1.pointwise_conv.bn.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.1.0.conv.weight - torch.Size([128, 512, 1, 1]): +TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 + +neck.extra_layers.1.0.bn.weight - torch.Size([128]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.1.0.bn.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.1.1.depthwise_conv.conv.weight - torch.Size([128, 1, 3, 3]): +TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 + +neck.extra_layers.1.1.depthwise_conv.bn.weight - torch.Size([128]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.1.1.depthwise_conv.bn.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.1.1.pointwise_conv.conv.weight - torch.Size([256, 128, 1, 1]): +TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 + +neck.extra_layers.1.1.pointwise_conv.bn.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.1.1.pointwise_conv.bn.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.2.0.conv.weight - torch.Size([128, 256, 1, 1]): +TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 + +neck.extra_layers.2.0.bn.weight - torch.Size([128]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.2.0.bn.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.2.1.depthwise_conv.conv.weight - torch.Size([128, 1, 3, 3]): +TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 + +neck.extra_layers.2.1.depthwise_conv.bn.weight - torch.Size([128]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.2.1.depthwise_conv.bn.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.2.1.pointwise_conv.conv.weight - torch.Size([256, 128, 1, 1]): +TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 + +neck.extra_layers.2.1.pointwise_conv.bn.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.2.1.pointwise_conv.bn.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.3.0.conv.weight - torch.Size([64, 256, 1, 1]): +TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 + +neck.extra_layers.3.0.bn.weight - torch.Size([64]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.3.0.bn.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.3.1.depthwise_conv.conv.weight - torch.Size([64, 1, 3, 3]): +TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 + +neck.extra_layers.3.1.depthwise_conv.bn.weight - torch.Size([64]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.3.1.depthwise_conv.bn.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.3.1.pointwise_conv.conv.weight - torch.Size([128, 64, 1, 1]): +TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 + +neck.extra_layers.3.1.pointwise_conv.bn.weight - torch.Size([128]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +neck.extra_layers.3.1.pointwise_conv.bn.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.cls_convs.0.0.conv.weight - torch.Size([200, 1, 3, 3]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.cls_convs.0.0.bn.weight - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.cls_convs.0.0.bn.bias - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.cls_convs.0.1.weight - torch.Size([486, 200, 1, 1]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.cls_convs.0.1.bias - torch.Size([486]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.cls_convs.1.0.conv.weight - torch.Size([376, 1, 3, 3]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.cls_convs.1.0.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.cls_convs.1.0.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.cls_convs.1.1.weight - torch.Size([486, 376, 1, 1]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.cls_convs.1.1.bias - torch.Size([486]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.cls_convs.2.0.conv.weight - torch.Size([512, 1, 3, 3]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.cls_convs.2.0.bn.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.cls_convs.2.0.bn.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.cls_convs.2.1.weight - torch.Size([486, 512, 1, 1]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.cls_convs.2.1.bias - torch.Size([486]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.cls_convs.3.0.conv.weight - torch.Size([256, 1, 3, 3]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.cls_convs.3.0.bn.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.cls_convs.3.0.bn.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.cls_convs.3.1.weight - torch.Size([486, 256, 1, 1]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.cls_convs.3.1.bias - torch.Size([486]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.cls_convs.4.0.conv.weight - torch.Size([256, 1, 3, 3]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.cls_convs.4.0.bn.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.cls_convs.4.0.bn.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.cls_convs.4.1.weight - torch.Size([486, 256, 1, 1]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.cls_convs.4.1.bias - torch.Size([486]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.cls_convs.5.0.conv.weight - torch.Size([128, 1, 3, 3]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.cls_convs.5.0.bn.weight - torch.Size([128]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.cls_convs.5.0.bn.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.cls_convs.5.1.weight - torch.Size([486, 128, 1, 1]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.cls_convs.5.1.bias - torch.Size([486]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.0.0.conv.weight - torch.Size([200, 1, 3, 3]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.0.0.bn.weight - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.reg_convs.0.0.bn.bias - torch.Size([200]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.reg_convs.0.1.weight - torch.Size([24, 200, 1, 1]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.0.1.bias - torch.Size([24]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.1.0.conv.weight - torch.Size([376, 1, 3, 3]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.1.0.bn.weight - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.reg_convs.1.0.bn.bias - torch.Size([376]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.reg_convs.1.1.weight - torch.Size([24, 376, 1, 1]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.1.1.bias - torch.Size([24]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.2.0.conv.weight - torch.Size([512, 1, 3, 3]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.2.0.bn.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.reg_convs.2.0.bn.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.reg_convs.2.1.weight - torch.Size([24, 512, 1, 1]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.2.1.bias - torch.Size([24]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.3.0.conv.weight - torch.Size([256, 1, 3, 3]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.3.0.bn.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.reg_convs.3.0.bn.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.reg_convs.3.1.weight - torch.Size([24, 256, 1, 1]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.3.1.bias - torch.Size([24]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.4.0.conv.weight - torch.Size([256, 1, 3, 3]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.4.0.bn.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.reg_convs.4.0.bn.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.reg_convs.4.1.weight - torch.Size([24, 256, 1, 1]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.4.1.bias - torch.Size([24]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.5.0.conv.weight - torch.Size([128, 1, 3, 3]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.5.0.bn.weight - torch.Size([128]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.reg_convs.5.0.bn.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of SingleStageDetector + +bbox_head.reg_convs.5.1.weight - torch.Size([24, 128, 1, 1]): +NormalInit: mean=0, std=0.001, bias=0 + +bbox_head.reg_convs.5.1.bias - torch.Size([24]): +NormalInit: mean=0, std=0.001, bias=0 +2024/10/29 02:21:32 - mmengine - INFO - Load checkpoint from work_dirs/ssdlite_mobilemamba_b1_8gpu_2lr_512_coco/epoch_2.pth +2024/10/29 02:21:32 - mmengine - INFO - resumed epoch: 2, iter: 6108 +2024/10/29 02:21:32 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io +2024/10/29 02:21:32 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. +2024/10/29 02:21:32 - mmengine - INFO - Checkpoints will be saved to work_dirs/ssdlite_mobilemamba_b1_8gpu_2lr_512_coco. +2024/10/29 02:22:57 - mmengine - INFO - Epoch(train) [3][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 7 days, 2:16:35 time: 1.7012 data_time: 0.0845 memory: 24945 grad_norm: 2.9870 loss: 5.0753 loss_cls: 3.4226 loss_bbox: 1.6527 +2024/10/29 02:23:42 - mmengine - INFO - Epoch(train) [3][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 5 days, 10:25:35 time: 0.9053 data_time: 0.0380 memory: 4654 grad_norm: 2.9020 loss: 5.0885 loss_cls: 3.3885 loss_bbox: 1.6999 +2024/10/29 02:24:02 - mmengine - INFO - Epoch(train) [3][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 4 days, 4:14:22 time: 0.3988 data_time: 0.0340 memory: 4654 grad_norm: 2.9071 loss: 5.1697 loss_cls: 3.4362 loss_bbox: 1.7335 +2024/10/29 02:24:26 - mmengine - INFO - Epoch(train) [3][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 3 days, 14:54:48 time: 0.4695 data_time: 0.1118 memory: 4654 grad_norm: 3.0065 loss: 5.0426 loss_cls: 3.3628 loss_bbox: 1.6798 +2024/10/29 02:24:47 - mmengine - INFO - Epoch(train) [3][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 3 days, 5:52:18 time: 0.4174 data_time: 0.0309 memory: 4654 grad_norm: 3.0983 loss: 5.1607 loss_cls: 3.4606 loss_bbox: 1.7001 +2024/10/29 02:25:06 - mmengine - INFO - Epoch(train) [3][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 23:23:24 time: 0.3903 data_time: 0.0326 memory: 4654 grad_norm: 3.0989 loss: 5.1240 loss_cls: 3.4312 loss_bbox: 1.6927 +2024/10/29 02:25:27 - mmengine - INFO - Epoch(train) [3][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 19:12:26 time: 0.4217 data_time: 0.0329 memory: 4654 grad_norm: 3.2106 loss: 5.1432 loss_cls: 3.4227 loss_bbox: 1.7205 +2024/10/29 02:25:47 - mmengine - INFO - Epoch(train) [3][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 15:46:10 time: 0.3977 data_time: 0.0336 memory: 4654 grad_norm: 3.1339 loss: 5.0403 loss_cls: 3.3513 loss_bbox: 1.6890 +2024/10/29 02:26:07 - mmengine - INFO - Epoch(train) [3][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 13:04:38 time: 0.3962 data_time: 0.0359 memory: 4654 grad_norm: 2.9861 loss: 4.9113 loss_cls: 3.3008 loss_bbox: 1.6105 +2024/10/29 02:26:28 - mmengine - INFO - Epoch(train) [3][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 11:13:26 time: 0.4264 data_time: 0.0329 memory: 4654 grad_norm: 3.0285 loss: 5.0615 loss_cls: 3.3782 loss_bbox: 1.6832 +2024/10/29 02:26:48 - mmengine - INFO - Epoch(train) [3][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 9:25:35 time: 0.3955 data_time: 0.0314 memory: 4654 grad_norm: 2.8708 loss: 5.0473 loss_cls: 3.3959 loss_bbox: 1.6514 +2024/10/29 02:27:09 - mmengine - INFO - Epoch(train) [3][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 8:05:15 time: 0.4148 data_time: 0.0323 memory: 4654 grad_norm: 2.8538 loss: 5.0828 loss_cls: 3.3916 loss_bbox: 1.6913 +2024/10/29 02:27:30 - mmengine - INFO - Epoch(train) [3][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 6:57:34 time: 0.4155 data_time: 0.0385 memory: 4654 grad_norm: 2.8639 loss: 5.0208 loss_cls: 3.3688 loss_bbox: 1.6520 +2024/10/29 02:27:50 - mmengine - INFO - Epoch(train) [3][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 5:53:58 time: 0.4026 data_time: 0.0321 memory: 4654 grad_norm: 2.9514 loss: 5.0637 loss_cls: 3.3903 loss_bbox: 1.6734 +2024/10/29 02:28:11 - mmengine - INFO - Epoch(train) [3][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 5:08:57 time: 0.4279 data_time: 0.0327 memory: 4654 grad_norm: 2.9090 loss: 5.0911 loss_cls: 3.4020 loss_bbox: 1.6891 +2024/10/29 02:28:31 - mmengine - INFO - Epoch(train) [3][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 4:16:36 time: 0.3935 data_time: 0.0348 memory: 4654 grad_norm: 2.9919 loss: 5.0518 loss_cls: 3.3734 loss_bbox: 1.6783 +2024/10/29 02:28:52 - mmengine - INFO - Epoch(train) [3][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 3:38:33 time: 0.4167 data_time: 0.0314 memory: 4654 grad_norm: 2.8797 loss: 5.0290 loss_cls: 3.3859 loss_bbox: 1.6432 +2024/10/29 02:29:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 02:29:11 - mmengine - INFO - Epoch(train) [3][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 2:56:07 time: 0.3909 data_time: 0.0304 memory: 4654 grad_norm: 3.0562 loss: 5.0815 loss_cls: 3.3843 loss_bbox: 1.6972 +2024/10/29 02:29:33 - mmengine - INFO - Epoch(train) [3][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 2:33:58 time: 0.4412 data_time: 0.0326 memory: 4654 grad_norm: 2.9597 loss: 5.0125 loss_cls: 3.3474 loss_bbox: 1.6652 +2024/10/29 02:29:54 - mmengine - INFO - Epoch(train) [3][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 2:07:17 time: 0.4188 data_time: 0.0321 memory: 4654 grad_norm: 2.9895 loss: 5.0539 loss_cls: 3.3856 loss_bbox: 1.6683 +2024/10/29 02:30:14 - mmengine - INFO - Epoch(train) [3][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 1:38:00 time: 0.4009 data_time: 0.0315 memory: 4654 grad_norm: 2.8426 loss: 5.0297 loss_cls: 3.3593 loss_bbox: 1.6704 +2024/10/29 02:30:36 - mmengine - INFO - Epoch(train) [3][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 1:19:46 time: 0.4318 data_time: 0.0334 memory: 4654 grad_norm: 2.8659 loss: 4.9824 loss_cls: 3.3541 loss_bbox: 1.6284 +2024/10/29 02:30:56 - mmengine - INFO - Epoch(train) [3][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 0:55:06 time: 0.4011 data_time: 0.0308 memory: 4654 grad_norm: 2.8234 loss: 5.0162 loss_cls: 3.3504 loss_bbox: 1.6658 +2024/10/29 02:31:17 - mmengine - INFO - Epoch(train) [3][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 0:36:51 time: 0.4188 data_time: 0.0366 memory: 4654 grad_norm: 2.9354 loss: 4.9995 loss_cls: 3.3345 loss_bbox: 1.6649 +2024/10/29 02:31:38 - mmengine - INFO - Epoch(train) [3][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 0:19:21 time: 0.4159 data_time: 0.0331 memory: 4654 grad_norm: 2.9631 loss: 5.0891 loss_cls: 3.3925 loss_bbox: 1.6966 +2024/10/29 02:31:58 - mmengine - INFO - Epoch(train) [3][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 2 days, 0:00:21 time: 0.4036 data_time: 0.0407 memory: 4654 grad_norm: 2.8565 loss: 4.9472 loss_cls: 3.3059 loss_bbox: 1.6413 +2024/10/29 02:32:19 - mmengine - INFO - Epoch(train) [3][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 23:48:38 time: 0.4303 data_time: 0.0320 memory: 4654 grad_norm: 2.9761 loss: 4.9560 loss_cls: 3.3503 loss_bbox: 1.6057 +2024/10/29 02:32:39 - mmengine - INFO - Epoch(train) [3][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 23:30:38 time: 0.3970 data_time: 0.0334 memory: 4654 grad_norm: 2.9072 loss: 4.9849 loss_cls: 3.3366 loss_bbox: 1.6483 +2024/10/29 02:33:00 - mmengine - INFO - Epoch(train) [3][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 23:16:24 time: 0.4094 data_time: 0.0366 memory: 4654 grad_norm: 3.1157 loss: 5.0402 loss_cls: 3.3912 loss_bbox: 1.6490 +2024/10/29 02:33:20 - mmengine - INFO - Epoch(train) [3][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 23:03:58 time: 0.4138 data_time: 0.0320 memory: 4654 grad_norm: 3.0776 loss: 5.0269 loss_cls: 3.3854 loss_bbox: 1.6415 +2024/10/29 02:33:42 - mmengine - INFO - Epoch(train) [3][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 22:55:45 time: 0.4316 data_time: 0.0601 memory: 4654 grad_norm: 2.8043 loss: 4.9935 loss_cls: 3.3348 loss_bbox: 1.6587 +2024/10/29 02:34:03 - mmengine - INFO - Epoch(train) [3][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 22:46:58 time: 0.4259 data_time: 0.0313 memory: 4654 grad_norm: 2.9406 loss: 4.9447 loss_cls: 3.2719 loss_bbox: 1.6728 +2024/10/29 02:34:26 - mmengine - INFO - Epoch(train) [3][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 22:42:16 time: 0.4457 data_time: 0.0784 memory: 4654 grad_norm: 2.7360 loss: 4.9848 loss_cls: 3.3517 loss_bbox: 1.6331 +2024/10/29 02:34:47 - mmengine - INFO - Epoch(train) [3][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 22:35:56 time: 0.4349 data_time: 0.0383 memory: 4654 grad_norm: 3.0400 loss: 5.0536 loss_cls: 3.3850 loss_bbox: 1.6686 +2024/10/29 02:35:08 - mmengine - INFO - Epoch(train) [3][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 22:25:17 time: 0.4076 data_time: 0.0360 memory: 4654 grad_norm: 3.0581 loss: 4.9786 loss_cls: 3.3015 loss_bbox: 1.6772 +2024/10/29 02:35:28 - mmengine - INFO - Epoch(train) [3][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 22:14:36 time: 0.4040 data_time: 0.0317 memory: 4654 grad_norm: 3.2699 loss: 5.0125 loss_cls: 3.3395 loss_bbox: 1.6730 +2024/10/29 02:35:49 - mmengine - INFO - Epoch(train) [3][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 22:08:32 time: 0.4292 data_time: 0.0396 memory: 4654 grad_norm: 2.7799 loss: 4.8892 loss_cls: 3.2394 loss_bbox: 1.6498 +2024/10/29 02:36:06 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 02:36:09 - mmengine - INFO - Epoch(train) [3][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 21:58:39 time: 0.4029 data_time: 0.0346 memory: 4654 grad_norm: 3.1907 loss: 4.9263 loss_cls: 3.3090 loss_bbox: 1.6172 +2024/10/29 02:36:30 - mmengine - INFO - Epoch(train) [3][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 21:51:40 time: 0.4186 data_time: 0.0311 memory: 4654 grad_norm: 2.7225 loss: 5.0080 loss_cls: 3.3367 loss_bbox: 1.6713 +2024/10/29 02:36:51 - mmengine - INFO - Epoch(train) [3][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 21:42:57 time: 0.4048 data_time: 0.0337 memory: 4654 grad_norm: 2.8251 loss: 4.9892 loss_cls: 3.3322 loss_bbox: 1.6569 +2024/10/29 02:37:11 - mmengine - INFO - Epoch(train) [3][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 21:35:44 time: 0.4123 data_time: 0.0384 memory: 4654 grad_norm: 2.7781 loss: 4.9137 loss_cls: 3.2868 loss_bbox: 1.6269 +2024/10/29 02:37:33 - mmengine - INFO - Epoch(train) [3][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 21:30:38 time: 0.4249 data_time: 0.0322 memory: 4654 grad_norm: 2.7585 loss: 5.0169 loss_cls: 3.3523 loss_bbox: 1.6646 +2024/10/29 02:37:53 - mmengine - INFO - Epoch(train) [3][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 21:22:47 time: 0.4036 data_time: 0.0319 memory: 4654 grad_norm: 2.7926 loss: 4.9098 loss_cls: 3.2692 loss_bbox: 1.6405 +2024/10/29 02:38:14 - mmengine - INFO - Epoch(train) [3][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 21:17:38 time: 0.4208 data_time: 0.0345 memory: 4654 grad_norm: 2.7857 loss: 4.9801 loss_cls: 3.2994 loss_bbox: 1.6808 +2024/10/29 02:38:34 - mmengine - INFO - Epoch(train) [3][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 21:10:04 time: 0.4010 data_time: 0.0312 memory: 4654 grad_norm: 2.8596 loss: 4.9737 loss_cls: 3.3153 loss_bbox: 1.6584 +2024/10/29 02:38:55 - mmengine - INFO - Epoch(train) [3][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 21:05:26 time: 0.4213 data_time: 0.0382 memory: 4654 grad_norm: 2.7621 loss: 4.9086 loss_cls: 3.2931 loss_bbox: 1.6155 +2024/10/29 02:39:16 - mmengine - INFO - Epoch(train) [3][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 21:00:04 time: 0.4141 data_time: 0.0307 memory: 4654 grad_norm: 2.6882 loss: 4.9601 loss_cls: 3.2825 loss_bbox: 1.6776 +2024/10/29 02:39:36 - mmengine - INFO - Epoch(train) [3][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:53:09 time: 0.3999 data_time: 0.0316 memory: 4654 grad_norm: 2.9982 loss: 4.8590 loss_cls: 3.2373 loss_bbox: 1.6218 +2024/10/29 02:39:57 - mmengine - INFO - Epoch(train) [3][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:50:15 time: 0.4307 data_time: 0.0375 memory: 4654 grad_norm: 2.6583 loss: 4.8630 loss_cls: 3.2609 loss_bbox: 1.6021 +2024/10/29 02:40:17 - mmengine - INFO - Epoch(train) [3][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:43:52 time: 0.4006 data_time: 0.0356 memory: 4654 grad_norm: 2.6251 loss: 5.0556 loss_cls: 3.3613 loss_bbox: 1.6943 +2024/10/29 02:40:38 - mmengine - INFO - Epoch(train) [3][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:40:47 time: 0.4268 data_time: 0.0412 memory: 4654 grad_norm: 2.6143 loss: 4.9660 loss_cls: 3.2729 loss_bbox: 1.6931 +2024/10/29 02:40:59 - mmengine - INFO - Epoch(train) [3][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:35:26 time: 0.4062 data_time: 0.0319 memory: 4654 grad_norm: 2.8397 loss: 4.8632 loss_cls: 3.2891 loss_bbox: 1.5741 +2024/10/29 02:41:19 - mmengine - INFO - Epoch(train) [3][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:29:40 time: 0.4008 data_time: 0.0317 memory: 4654 grad_norm: 2.7727 loss: 4.9507 loss_cls: 3.2949 loss_bbox: 1.6558 +2024/10/29 02:41:41 - mmengine - INFO - Epoch(train) [3][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:28:02 time: 0.4363 data_time: 0.0324 memory: 4654 grad_norm: 2.9570 loss: 4.9559 loss_cls: 3.3362 loss_bbox: 1.6197 +2024/10/29 02:42:01 - mmengine - INFO - Epoch(train) [3][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:23:35 time: 0.4100 data_time: 0.0324 memory: 4654 grad_norm: 2.6682 loss: 4.9125 loss_cls: 3.2808 loss_bbox: 1.6317 +2024/10/29 02:42:23 - mmengine - INFO - Epoch(train) [3][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:22:17 time: 0.4381 data_time: 0.0363 memory: 4654 grad_norm: 2.6071 loss: 4.9287 loss_cls: 3.2536 loss_bbox: 1.6751 +2024/10/29 02:42:43 - mmengine - INFO - Epoch(train) [3][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:17:47 time: 0.4072 data_time: 0.0333 memory: 4654 grad_norm: 2.7655 loss: 4.9419 loss_cls: 3.3176 loss_bbox: 1.6243 +2024/10/29 02:43:00 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 02:43:04 - mmengine - INFO - Epoch(train) [3][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:12:59 time: 0.4029 data_time: 0.0343 memory: 4654 grad_norm: 2.7651 loss: 4.8962 loss_cls: 3.2780 loss_bbox: 1.6182 +2024/10/29 02:43:26 - mmengine - INFO - Epoch(train) [3][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:12:06 time: 0.4402 data_time: 0.0474 memory: 4654 grad_norm: 2.8495 loss: 4.9173 loss_cls: 3.2887 loss_bbox: 1.6286 +2024/10/29 02:43:46 - mmengine - INFO - Epoch(train) [3][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:07:33 time: 0.4031 data_time: 0.0338 memory: 4654 grad_norm: 2.8306 loss: 4.9838 loss_cls: 3.3047 loss_bbox: 1.6790 +2024/10/29 02:44:07 - mmengine - INFO - Epoch(train) [3][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:05:10 time: 0.4239 data_time: 0.0330 memory: 4654 grad_norm: 2.7030 loss: 4.9002 loss_cls: 3.2657 loss_bbox: 1.6345 +2024/10/29 02:44:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 02:44:18 - mmengine - INFO - Saving checkpoint at 3 epochs +2024/10/29 02:44:44 - mmengine - INFO - Epoch(train) [4][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:22:52 time: 0.4561 data_time: 0.0499 memory: 22387 grad_norm: 2.7029 loss: 4.8434 loss_cls: 3.2441 loss_bbox: 1.5994 +2024/10/29 02:45:06 - mmengine - INFO - Epoch(train) [4][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:20:12 time: 0.4228 data_time: 0.0356 memory: 4655 grad_norm: 2.6877 loss: 4.9003 loss_cls: 3.2380 loss_bbox: 1.6623 +2024/10/29 02:45:27 - mmengine - INFO - Epoch(train) [4][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:19:00 time: 0.4381 data_time: 0.0460 memory: 4655 grad_norm: 2.6909 loss: 4.8871 loss_cls: 3.2559 loss_bbox: 1.6312 +2024/10/29 02:45:48 - mmengine - INFO - Epoch(train) [4][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:14:52 time: 0.4054 data_time: 0.0414 memory: 4655 grad_norm: 2.9299 loss: 4.8621 loss_cls: 3.2533 loss_bbox: 1.6088 +2024/10/29 02:46:09 - mmengine - INFO - Epoch(train) [4][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:13:02 time: 0.4299 data_time: 0.0343 memory: 4655 grad_norm: 2.8041 loss: 4.8213 loss_cls: 3.2212 loss_bbox: 1.6001 +2024/10/29 02:46:30 - mmengine - INFO - Epoch(train) [4][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:09:22 time: 0.4086 data_time: 0.0363 memory: 4655 grad_norm: 2.5619 loss: 4.9077 loss_cls: 3.2971 loss_bbox: 1.6106 +2024/10/29 02:46:51 - mmengine - INFO - Epoch(train) [4][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:07:40 time: 0.4301 data_time: 0.0482 memory: 4655 grad_norm: 2.7965 loss: 4.9292 loss_cls: 3.2668 loss_bbox: 1.6624 +2024/10/29 02:47:13 - mmengine - INFO - Epoch(train) [4][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:07:20 time: 0.4455 data_time: 0.0479 memory: 4655 grad_norm: 2.6485 loss: 4.8444 loss_cls: 3.2620 loss_bbox: 1.5824 +2024/10/29 02:47:34 - mmengine - INFO - Epoch(train) [4][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:03:29 time: 0.4040 data_time: 0.0388 memory: 4655 grad_norm: 2.7630 loss: 4.8049 loss_cls: 3.2330 loss_bbox: 1.5719 +2024/10/29 02:47:56 - mmengine - INFO - Epoch(train) [4][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:03:02 time: 0.4435 data_time: 0.0382 memory: 4655 grad_norm: 2.6123 loss: 4.8044 loss_cls: 3.2525 loss_bbox: 1.5519 +2024/10/29 02:48:17 - mmengine - INFO - Epoch(train) [4][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 20:00:18 time: 0.4159 data_time: 0.0476 memory: 4655 grad_norm: 2.7542 loss: 4.8148 loss_cls: 3.2347 loss_bbox: 1.5801 +2024/10/29 02:48:38 - mmengine - INFO - Epoch(train) [4][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:58:29 time: 0.4263 data_time: 0.0406 memory: 4655 grad_norm: 2.7822 loss: 4.8190 loss_cls: 3.2522 loss_bbox: 1.5669 +2024/10/29 02:49:01 - mmengine - INFO - Epoch(train) [4][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:58:48 time: 0.4523 data_time: 0.0420 memory: 4655 grad_norm: 2.7309 loss: 4.8669 loss_cls: 3.2166 loss_bbox: 1.6503 +2024/10/29 02:49:21 - mmengine - INFO - Epoch(train) [4][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:56:06 time: 0.4143 data_time: 0.0431 memory: 4655 grad_norm: 2.7138 loss: 4.9051 loss_cls: 3.2492 loss_bbox: 1.6560 +2024/10/29 02:49:44 - mmengine - INFO - Epoch(train) [4][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:56:18 time: 0.4510 data_time: 0.0395 memory: 4655 grad_norm: 3.0230 loss: 4.7664 loss_cls: 3.2064 loss_bbox: 1.5600 +2024/10/29 02:50:05 - mmengine - INFO - Epoch(train) [4][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:53:48 time: 0.4159 data_time: 0.0385 memory: 4655 grad_norm: 2.8629 loss: 4.7968 loss_cls: 3.2109 loss_bbox: 1.5859 +2024/10/29 02:50:21 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 02:50:27 - mmengine - INFO - Epoch(train) [4][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:53:11 time: 0.4400 data_time: 0.0560 memory: 4655 grad_norm: 2.6944 loss: 4.8146 loss_cls: 3.1977 loss_bbox: 1.6169 +2024/10/29 02:50:49 - mmengine - INFO - Epoch(train) [4][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:52:43 time: 0.4420 data_time: 0.0452 memory: 4655 grad_norm: 3.0529 loss: 4.8315 loss_cls: 3.2285 loss_bbox: 1.6030 +2024/10/29 02:51:10 - mmengine - INFO - Epoch(train) [4][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:50:31 time: 0.4184 data_time: 0.0404 memory: 4655 grad_norm: 2.7008 loss: 4.8774 loss_cls: 3.2477 loss_bbox: 1.6297 +2024/10/29 02:51:33 - mmengine - INFO - Epoch(train) [4][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:51:47 time: 0.4654 data_time: 0.0380 memory: 4655 grad_norm: 2.7165 loss: 4.8758 loss_cls: 3.2560 loss_bbox: 1.6198 +2024/10/29 02:51:54 - mmengine - INFO - Epoch(train) [4][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:49:40 time: 0.4189 data_time: 0.0373 memory: 4655 grad_norm: 2.5401 loss: 4.8841 loss_cls: 3.2491 loss_bbox: 1.6350 +2024/10/29 02:52:15 - mmengine - INFO - Epoch(train) [4][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:48:26 time: 0.4309 data_time: 0.0421 memory: 4655 grad_norm: 2.5758 loss: 4.8892 loss_cls: 3.2583 loss_bbox: 1.6309 +2024/10/29 02:52:37 - mmengine - INFO - Epoch(train) [4][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:48:02 time: 0.4422 data_time: 0.0465 memory: 4655 grad_norm: 2.5840 loss: 4.9462 loss_cls: 3.2793 loss_bbox: 1.6669 +2024/10/29 02:52:58 - mmengine - INFO - Epoch(train) [4][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:45:38 time: 0.4135 data_time: 0.0377 memory: 4655 grad_norm: 2.7016 loss: 4.8963 loss_cls: 3.2824 loss_bbox: 1.6139 +2024/10/29 02:53:21 - mmengine - INFO - Epoch(train) [4][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:45:45 time: 0.4495 data_time: 0.0413 memory: 4655 grad_norm: 2.7003 loss: 4.8627 loss_cls: 3.2813 loss_bbox: 1.5815 +2024/10/29 02:53:42 - mmengine - INFO - Epoch(train) [4][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:43:51 time: 0.4199 data_time: 0.0424 memory: 4655 grad_norm: 2.4779 loss: 4.8183 loss_cls: 3.2529 loss_bbox: 1.5654 +2024/10/29 02:54:03 - mmengine - INFO - Epoch(train) [4][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:42:47 time: 0.4317 data_time: 0.0390 memory: 4655 grad_norm: 2.6832 loss: 4.7924 loss_cls: 3.2352 loss_bbox: 1.5572 +2024/10/29 02:54:25 - mmengine - INFO - Epoch(train) [4][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:42:28 time: 0.4430 data_time: 0.0571 memory: 4655 grad_norm: 2.7461 loss: 4.8626 loss_cls: 3.2361 loss_bbox: 1.6266 +2024/10/29 02:54:46 - mmengine - INFO - Epoch(train) [4][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:39:39 time: 0.4050 data_time: 0.0370 memory: 4655 grad_norm: 2.7045 loss: 4.7807 loss_cls: 3.1868 loss_bbox: 1.5939 +2024/10/29 02:55:08 - mmengine - INFO - Epoch(train) [4][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:39:27 time: 0.4443 data_time: 0.0351 memory: 4655 grad_norm: 2.8631 loss: 4.9276 loss_cls: 3.2669 loss_bbox: 1.6607 +2024/10/29 02:55:29 - mmengine - INFO - Epoch(train) [4][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:37:20 time: 0.4145 data_time: 0.0396 memory: 4655 grad_norm: 2.6570 loss: 4.7510 loss_cls: 3.1842 loss_bbox: 1.5668 +2024/10/29 02:55:50 - mmengine - INFO - Epoch(train) [4][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:36:18 time: 0.4308 data_time: 0.0384 memory: 4655 grad_norm: 2.7553 loss: 4.7501 loss_cls: 3.1782 loss_bbox: 1.5719 +2024/10/29 02:56:12 - mmengine - INFO - Epoch(train) [4][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:35:07 time: 0.4284 data_time: 0.0360 memory: 4655 grad_norm: 2.6564 loss: 4.8198 loss_cls: 3.2058 loss_bbox: 1.6140 +2024/10/29 02:56:32 - mmengine - INFO - Epoch(train) [4][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:33:13 time: 0.4166 data_time: 0.0377 memory: 4655 grad_norm: 2.7071 loss: 4.9038 loss_cls: 3.2581 loss_bbox: 1.6458 +2024/10/29 02:56:55 - mmengine - INFO - Epoch(train) [4][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:33:23 time: 0.4496 data_time: 0.0371 memory: 4655 grad_norm: 2.8393 loss: 4.8852 loss_cls: 3.2071 loss_bbox: 1.6780 +2024/10/29 02:57:16 - mmengine - INFO - Epoch(train) [4][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:31:30 time: 0.4162 data_time: 0.0363 memory: 4655 grad_norm: 2.6559 loss: 4.7148 loss_cls: 3.1570 loss_bbox: 1.5578 +2024/10/29 02:57:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 02:57:38 - mmengine - INFO - Epoch(train) [4][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:31:50 time: 0.4524 data_time: 0.0395 memory: 4655 grad_norm: 2.5900 loss: 4.8556 loss_cls: 3.2021 loss_bbox: 1.6535 +2024/10/29 02:57:59 - mmengine - INFO - Epoch(train) [4][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:30:08 time: 0.4184 data_time: 0.0381 memory: 4655 grad_norm: 2.6219 loss: 4.7337 loss_cls: 3.1906 loss_bbox: 1.5431 +2024/10/29 02:58:20 - mmengine - INFO - Epoch(train) [4][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:27:54 time: 0.4093 data_time: 0.0355 memory: 4655 grad_norm: 2.5515 loss: 4.7678 loss_cls: 3.1604 loss_bbox: 1.6073 +2024/10/29 02:58:42 - mmengine - INFO - Epoch(train) [4][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:27:21 time: 0.4370 data_time: 0.0366 memory: 4655 grad_norm: 2.6045 loss: 4.8079 loss_cls: 3.2400 loss_bbox: 1.5679 +2024/10/29 02:59:02 - mmengine - INFO - Epoch(train) [4][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:25:20 time: 0.4120 data_time: 0.0325 memory: 4655 grad_norm: 2.7646 loss: 4.7951 loss_cls: 3.1582 loss_bbox: 1.6369 +2024/10/29 02:59:27 - mmengine - INFO - Epoch(train) [4][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:28:38 time: 0.5040 data_time: 0.1087 memory: 4655 grad_norm: 2.6233 loss: 4.7559 loss_cls: 3.1733 loss_bbox: 1.5826 +2024/10/29 02:59:48 - mmengine - INFO - Epoch(train) [4][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:26:29 time: 0.4092 data_time: 0.0344 memory: 4655 grad_norm: 2.5070 loss: 4.7974 loss_cls: 3.2014 loss_bbox: 1.5960 +2024/10/29 03:00:09 - mmengine - INFO - Epoch(train) [4][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:24:49 time: 0.4173 data_time: 0.0318 memory: 4655 grad_norm: 2.8859 loss: 4.8049 loss_cls: 3.1887 loss_bbox: 1.6162 +2024/10/29 03:00:30 - mmengine - INFO - Epoch(train) [4][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:23:35 time: 0.4245 data_time: 0.0368 memory: 4655 grad_norm: 2.7226 loss: 4.8201 loss_cls: 3.2079 loss_bbox: 1.6122 +2024/10/29 03:00:51 - mmengine - INFO - Epoch(train) [4][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:21:58 time: 0.4173 data_time: 0.0353 memory: 4655 grad_norm: 2.7775 loss: 4.8730 loss_cls: 3.2480 loss_bbox: 1.6250 +2024/10/29 03:01:13 - mmengine - INFO - Epoch(train) [4][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:21:41 time: 0.4413 data_time: 0.0342 memory: 4655 grad_norm: 2.6084 loss: 4.7558 loss_cls: 3.1743 loss_bbox: 1.5815 +2024/10/29 03:01:33 - mmengine - INFO - Epoch(train) [4][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:19:50 time: 0.4124 data_time: 0.0331 memory: 4655 grad_norm: 2.8452 loss: 4.7855 loss_cls: 3.1941 loss_bbox: 1.5913 +2024/10/29 03:01:55 - mmengine - INFO - Epoch(train) [4][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:18:54 time: 0.4287 data_time: 0.0389 memory: 4655 grad_norm: 2.5964 loss: 4.8479 loss_cls: 3.2469 loss_bbox: 1.6009 +2024/10/29 03:02:16 - mmengine - INFO - Epoch(train) [4][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:17:56 time: 0.4282 data_time: 0.0358 memory: 4655 grad_norm: 2.6851 loss: 4.7463 loss_cls: 3.1777 loss_bbox: 1.5686 +2024/10/29 03:02:37 - mmengine - INFO - Epoch(train) [4][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:16:41 time: 0.4228 data_time: 0.0370 memory: 4655 grad_norm: 2.6370 loss: 4.8924 loss_cls: 3.2739 loss_bbox: 1.6186 +2024/10/29 03:03:00 - mmengine - INFO - Epoch(train) [4][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:16:49 time: 0.4486 data_time: 0.0475 memory: 4655 grad_norm: 2.7840 loss: 4.8512 loss_cls: 3.1896 loss_bbox: 1.6616 +2024/10/29 03:03:21 - mmengine - INFO - Epoch(train) [4][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:15:24 time: 0.4188 data_time: 0.0367 memory: 4655 grad_norm: 2.6169 loss: 4.8387 loss_cls: 3.2177 loss_bbox: 1.6210 +2024/10/29 03:03:42 - mmengine - INFO - Epoch(train) [4][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:14:28 time: 0.4282 data_time: 0.0428 memory: 4655 grad_norm: 2.7386 loss: 4.7471 loss_cls: 3.1487 loss_bbox: 1.5984 +2024/10/29 03:04:04 - mmengine - INFO - Epoch(train) [4][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:13:43 time: 0.4315 data_time: 0.0491 memory: 4655 grad_norm: 2.6254 loss: 4.7876 loss_cls: 3.1964 loss_bbox: 1.5912 +2024/10/29 03:04:27 - mmengine - INFO - Epoch(train) [4][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:14:12 time: 0.4556 data_time: 0.0627 memory: 4655 grad_norm: 2.5755 loss: 4.8274 loss_cls: 3.2030 loss_bbox: 1.6244 +2024/10/29 03:04:44 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 03:04:49 - mmengine - INFO - Epoch(train) [4][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:14:18 time: 0.4483 data_time: 0.0498 memory: 4655 grad_norm: 2.5274 loss: 4.6869 loss_cls: 3.1337 loss_bbox: 1.5532 +2024/10/29 03:05:10 - mmengine - INFO - Epoch(train) [4][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:13:07 time: 0.4227 data_time: 0.0404 memory: 4655 grad_norm: 2.6223 loss: 4.7989 loss_cls: 3.2219 loss_bbox: 1.5770 +2024/10/29 03:05:32 - mmengine - INFO - Epoch(train) [4][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:12:57 time: 0.4432 data_time: 0.0469 memory: 4655 grad_norm: 2.5861 loss: 4.7629 loss_cls: 3.1587 loss_bbox: 1.6042 +2024/10/29 03:05:54 - mmengine - INFO - Epoch(train) [4][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:11:59 time: 0.4267 data_time: 0.0366 memory: 4655 grad_norm: 2.6621 loss: 4.8070 loss_cls: 3.2262 loss_bbox: 1.5808 +2024/10/29 03:06:15 - mmengine - INFO - Epoch(train) [4][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:11:16 time: 0.4316 data_time: 0.0379 memory: 4655 grad_norm: 2.6664 loss: 4.8480 loss_cls: 3.2108 loss_bbox: 1.6372 +2024/10/29 03:06:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 03:06:17 - mmengine - INFO - Saving checkpoint at 4 epochs +2024/10/29 03:06:44 - mmengine - INFO - Epoch(train) [5][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:11:02 time: 0.4438 data_time: 0.0614 memory: 4655 grad_norm: 2.7538 loss: 4.7207 loss_cls: 3.1343 loss_bbox: 1.5864 +2024/10/29 03:07:03 - mmengine - INFO - Epoch(train) [5][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:08:32 time: 0.3941 data_time: 0.0417 memory: 4655 grad_norm: 2.5361 loss: 4.7861 loss_cls: 3.1774 loss_bbox: 1.6087 +2024/10/29 03:07:27 - mmengine - INFO - Epoch(train) [5][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:09:39 time: 0.4698 data_time: 0.0770 memory: 4655 grad_norm: 2.6354 loss: 4.7417 loss_cls: 3.1665 loss_bbox: 1.5752 +2024/10/29 03:07:47 - mmengine - INFO - Epoch(train) [5][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:07:33 time: 0.4017 data_time: 0.0391 memory: 4655 grad_norm: 2.6051 loss: 4.8900 loss_cls: 3.2644 loss_bbox: 1.6257 +2024/10/29 03:08:08 - mmengine - INFO - Epoch(train) [5][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:06:02 time: 0.4136 data_time: 0.0474 memory: 4655 grad_norm: 2.4620 loss: 4.7041 loss_cls: 3.1646 loss_bbox: 1.5394 +2024/10/29 03:08:28 - mmengine - INFO - Epoch(train) [5][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:04:35 time: 0.4148 data_time: 0.0416 memory: 4655 grad_norm: 2.7137 loss: 4.7307 loss_cls: 3.2024 loss_bbox: 1.5283 +2024/10/29 03:08:49 - mmengine - INFO - Epoch(train) [5][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:02:42 time: 0.4050 data_time: 0.0448 memory: 4655 grad_norm: 2.6407 loss: 4.8146 loss_cls: 3.1915 loss_bbox: 1.6231 +2024/10/29 03:09:10 - mmengine - INFO - Epoch(train) [5][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 19:01:38 time: 0.4225 data_time: 0.0378 memory: 4655 grad_norm: 2.7142 loss: 4.7861 loss_cls: 3.2050 loss_bbox: 1.5811 +2024/10/29 03:09:30 - mmengine - INFO - Epoch(train) [5][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:59:44 time: 0.4035 data_time: 0.0396 memory: 4655 grad_norm: 2.6337 loss: 4.6952 loss_cls: 3.1427 loss_bbox: 1.5525 +2024/10/29 03:09:51 - mmengine - INFO - Epoch(train) [5][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:58:20 time: 0.4141 data_time: 0.0400 memory: 4655 grad_norm: 2.8085 loss: 4.7183 loss_cls: 3.1645 loss_bbox: 1.5538 +2024/10/29 03:10:12 - mmengine - INFO - Epoch(train) [5][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:57:07 time: 0.4183 data_time: 0.0382 memory: 4655 grad_norm: 2.4174 loss: 4.8163 loss_cls: 3.2386 loss_bbox: 1.5776 +2024/10/29 03:10:32 - mmengine - INFO - Epoch(train) [5][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:55:04 time: 0.3988 data_time: 0.0397 memory: 4655 grad_norm: 2.7660 loss: 4.7402 loss_cls: 3.1771 loss_bbox: 1.5631 +2024/10/29 03:10:53 - mmengine - INFO - Epoch(train) [5][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:54:09 time: 0.4240 data_time: 0.0529 memory: 4655 grad_norm: 2.7355 loss: 4.8141 loss_cls: 3.1663 loss_bbox: 1.6478 +2024/10/29 03:11:13 - mmengine - INFO - Epoch(train) [5][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:52:23 time: 0.4043 data_time: 0.0397 memory: 4655 grad_norm: 2.6851 loss: 4.7807 loss_cls: 3.1622 loss_bbox: 1.6185 +2024/10/29 03:11:33 - mmengine - INFO - Epoch(train) [5][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:50:50 time: 0.4091 data_time: 0.0394 memory: 4655 grad_norm: 2.6299 loss: 4.7541 loss_cls: 3.1865 loss_bbox: 1.5676 +2024/10/29 03:11:48 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 03:11:54 - mmengine - INFO - Epoch(train) [5][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:49:18 time: 0.4088 data_time: 0.0491 memory: 4655 grad_norm: 2.5925 loss: 4.6854 loss_cls: 3.1190 loss_bbox: 1.5663 +2024/10/29 03:12:14 - mmengine - INFO - Epoch(train) [5][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:47:52 time: 0.4108 data_time: 0.0445 memory: 4655 grad_norm: 2.6162 loss: 4.8568 loss_cls: 3.2464 loss_bbox: 1.6104 +2024/10/29 03:12:36 - mmengine - INFO - Epoch(train) [5][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:47:16 time: 0.4304 data_time: 0.0444 memory: 4655 grad_norm: 2.6121 loss: 4.6825 loss_cls: 3.1366 loss_bbox: 1.5459 +2024/10/29 03:12:56 - mmengine - INFO - Epoch(train) [5][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:45:32 time: 0.4030 data_time: 0.0455 memory: 4655 grad_norm: 2.5021 loss: 4.7445 loss_cls: 3.1434 loss_bbox: 1.6011 +2024/10/29 03:13:18 - mmengine - INFO - Epoch(train) [5][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:44:55 time: 0.4295 data_time: 0.0524 memory: 4655 grad_norm: 2.8615 loss: 4.7555 loss_cls: 3.1851 loss_bbox: 1.5704 +2024/10/29 03:13:37 - mmengine - INFO - Epoch(train) [5][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:43:01 time: 0.3982 data_time: 0.0451 memory: 4655 grad_norm: 2.6023 loss: 4.7446 loss_cls: 3.2014 loss_bbox: 1.5432 +2024/10/29 03:13:58 - mmengine - INFO - Epoch(train) [5][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:41:42 time: 0.4121 data_time: 0.0389 memory: 4655 grad_norm: 2.8046 loss: 4.7057 loss_cls: 3.1422 loss_bbox: 1.5635 +2024/10/29 03:14:19 - mmengine - INFO - Epoch(train) [5][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:40:28 time: 0.4137 data_time: 0.0380 memory: 4655 grad_norm: 2.5107 loss: 4.6893 loss_cls: 3.1560 loss_bbox: 1.5333 +2024/10/29 03:14:39 - mmengine - INFO - Epoch(train) [5][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:39:08 time: 0.4110 data_time: 0.0482 memory: 4655 grad_norm: 2.6831 loss: 4.6802 loss_cls: 3.1358 loss_bbox: 1.5444 +2024/10/29 03:15:01 - mmengine - INFO - Epoch(train) [5][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:38:24 time: 0.4256 data_time: 0.0529 memory: 4655 grad_norm: 2.5499 loss: 4.7273 loss_cls: 3.1674 loss_bbox: 1.5599 +2024/10/29 03:15:21 - mmengine - INFO - Epoch(train) [5][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:36:35 time: 0.3982 data_time: 0.0409 memory: 4655 grad_norm: 2.4651 loss: 4.7516 loss_cls: 3.1660 loss_bbox: 1.5856 +2024/10/29 03:15:41 - mmengine - INFO - Epoch(train) [5][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:35:29 time: 0.4161 data_time: 0.0454 memory: 4655 grad_norm: 2.5786 loss: 4.7661 loss_cls: 3.1692 loss_bbox: 1.5969 +2024/10/29 03:16:02 - mmengine - INFO - Epoch(train) [5][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:34:03 time: 0.4072 data_time: 0.0416 memory: 4655 grad_norm: 2.6135 loss: 4.7362 loss_cls: 3.1332 loss_bbox: 1.6030 +2024/10/29 03:16:26 - mmengine - INFO - Epoch(train) [5][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:35:44 time: 0.4869 data_time: 0.1268 memory: 4655 grad_norm: 2.6783 loss: 4.7547 loss_cls: 3.2040 loss_bbox: 1.5507 +2024/10/29 03:16:47 - mmengine - INFO - Epoch(train) [5][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:35:01 time: 0.4255 data_time: 0.0436 memory: 4655 grad_norm: 2.7384 loss: 4.6383 loss_cls: 3.0889 loss_bbox: 1.5494 +2024/10/29 03:17:07 - mmengine - INFO - Epoch(train) [5][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:33:29 time: 0.4038 data_time: 0.0449 memory: 4655 grad_norm: 2.6523 loss: 4.7118 loss_cls: 3.1310 loss_bbox: 1.5808 +2024/10/29 03:17:29 - mmengine - INFO - Epoch(train) [5][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:32:53 time: 0.4281 data_time: 0.0426 memory: 4655 grad_norm: 3.0073 loss: 4.7345 loss_cls: 3.1692 loss_bbox: 1.5654 +2024/10/29 03:17:49 - mmengine - INFO - Epoch(train) [5][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:31:03 time: 0.3958 data_time: 0.0394 memory: 4655 grad_norm: 2.5498 loss: 4.6947 loss_cls: 3.1629 loss_bbox: 1.5317 +2024/10/29 03:18:09 - mmengine - INFO - Epoch(train) [5][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:29:42 time: 0.4076 data_time: 0.0394 memory: 4655 grad_norm: 2.5847 loss: 4.7532 loss_cls: 3.1409 loss_bbox: 1.6123 +2024/10/29 03:18:30 - mmengine - INFO - Epoch(train) [5][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:28:40 time: 0.4159 data_time: 0.0391 memory: 4655 grad_norm: 2.5434 loss: 4.6878 loss_cls: 3.1223 loss_bbox: 1.5655 +2024/10/29 03:18:43 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 03:18:49 - mmengine - INFO - Epoch(train) [5][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:26:36 time: 0.3881 data_time: 0.0378 memory: 4655 grad_norm: 2.7800 loss: 4.8182 loss_cls: 3.2118 loss_bbox: 1.6064 +2024/10/29 03:19:10 - mmengine - INFO - Epoch(train) [5][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:25:52 time: 0.4234 data_time: 0.0430 memory: 4655 grad_norm: 2.6597 loss: 4.7113 loss_cls: 3.1507 loss_bbox: 1.5606 +2024/10/29 03:19:30 - mmengine - INFO - Epoch(train) [5][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:23:48 time: 0.3868 data_time: 0.0383 memory: 4655 grad_norm: 2.4873 loss: 4.6380 loss_cls: 3.0939 loss_bbox: 1.5441 +2024/10/29 03:19:50 - mmengine - INFO - Epoch(train) [5][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:22:44 time: 0.4140 data_time: 0.0486 memory: 4655 grad_norm: 2.5317 loss: 4.7869 loss_cls: 3.1977 loss_bbox: 1.5892 +2024/10/29 03:20:11 - mmengine - INFO - Epoch(train) [5][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:21:20 time: 0.4041 data_time: 0.0473 memory: 4655 grad_norm: 2.6213 loss: 4.7498 loss_cls: 3.1790 loss_bbox: 1.5708 +2024/10/29 03:20:30 - mmengine - INFO - Epoch(train) [5][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:19:31 time: 0.3926 data_time: 0.0394 memory: 4655 grad_norm: 2.5720 loss: 4.6545 loss_cls: 3.1316 loss_bbox: 1.5230 +2024/10/29 03:20:51 - mmengine - INFO - Epoch(train) [5][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:18:32 time: 0.4152 data_time: 0.0393 memory: 4655 grad_norm: 2.7019 loss: 4.7562 loss_cls: 3.1889 loss_bbox: 1.5673 +2024/10/29 03:21:11 - mmengine - INFO - Epoch(train) [5][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:17:11 time: 0.4043 data_time: 0.0427 memory: 4655 grad_norm: 2.6304 loss: 4.7397 loss_cls: 3.1614 loss_bbox: 1.5783 +2024/10/29 03:21:32 - mmengine - INFO - Epoch(train) [5][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:15:53 time: 0.4060 data_time: 0.0374 memory: 4655 grad_norm: 2.4348 loss: 4.6524 loss_cls: 3.0968 loss_bbox: 1.5557 +2024/10/29 03:21:52 - mmengine - INFO - Epoch(train) [5][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:14:27 time: 0.4012 data_time: 0.0483 memory: 4655 grad_norm: 2.7213 loss: 4.6762 loss_cls: 3.1199 loss_bbox: 1.5562 +2024/10/29 03:22:12 - mmengine - INFO - Epoch(train) [5][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:13:03 time: 0.4025 data_time: 0.0468 memory: 4655 grad_norm: 2.6087 loss: 4.6298 loss_cls: 3.1023 loss_bbox: 1.5275 +2024/10/29 03:22:33 - mmengine - INFO - Epoch(train) [5][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:12:25 time: 0.4239 data_time: 0.0511 memory: 4655 grad_norm: 2.6161 loss: 4.7322 loss_cls: 3.1631 loss_bbox: 1.5691 +2024/10/29 03:22:52 - mmengine - INFO - Epoch(train) [5][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:10:33 time: 0.3880 data_time: 0.0409 memory: 4655 grad_norm: 2.6006 loss: 4.6796 loss_cls: 3.0966 loss_bbox: 1.5830 +2024/10/29 03:23:13 - mmengine - INFO - Epoch(train) [5][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:09:42 time: 0.4173 data_time: 0.0445 memory: 4655 grad_norm: 2.7571 loss: 4.7063 loss_cls: 3.1606 loss_bbox: 1.5457 +2024/10/29 03:23:33 - mmengine - INFO - Epoch(train) [5][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:08:06 time: 0.3947 data_time: 0.0481 memory: 4655 grad_norm: 2.6592 loss: 4.7292 loss_cls: 3.1613 loss_bbox: 1.5679 +2024/10/29 03:23:53 - mmengine - INFO - Epoch(train) [5][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:06:52 time: 0.4056 data_time: 0.0427 memory: 4655 grad_norm: 2.6457 loss: 4.7003 loss_cls: 3.1385 loss_bbox: 1.5619 +2024/10/29 03:24:14 - mmengine - INFO - Epoch(train) [5][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:05:44 time: 0.4078 data_time: 0.0432 memory: 4655 grad_norm: 2.5223 loss: 4.6353 loss_cls: 3.0703 loss_bbox: 1.5650 +2024/10/29 03:24:34 - mmengine - INFO - Epoch(train) [5][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:04:20 time: 0.4001 data_time: 0.0422 memory: 4655 grad_norm: 2.4874 loss: 4.6795 loss_cls: 3.1239 loss_bbox: 1.5556 +2024/10/29 03:24:54 - mmengine - INFO - Epoch(train) [5][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:03:24 time: 0.4131 data_time: 0.0416 memory: 4655 grad_norm: 2.5372 loss: 4.7903 loss_cls: 3.1959 loss_bbox: 1.5944 +2024/10/29 03:25:15 - mmengine - INFO - Epoch(train) [5][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:02:40 time: 0.4198 data_time: 0.0541 memory: 4655 grad_norm: 2.5634 loss: 4.7011 loss_cls: 3.1409 loss_bbox: 1.5602 +2024/10/29 03:25:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 03:25:35 - mmengine - INFO - Epoch(train) [5][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:01:16 time: 0.3988 data_time: 0.0409 memory: 4655 grad_norm: 2.5061 loss: 4.7069 loss_cls: 3.1273 loss_bbox: 1.5795 +2024/10/29 03:25:56 - mmengine - INFO - Epoch(train) [5][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 18:00:17 time: 0.4114 data_time: 0.0451 memory: 4655 grad_norm: 2.6997 loss: 4.6617 loss_cls: 3.1526 loss_bbox: 1.5092 +2024/10/29 03:26:16 - mmengine - INFO - Epoch(train) [5][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:59:01 time: 0.4024 data_time: 0.0410 memory: 4655 grad_norm: 2.5960 loss: 4.7123 loss_cls: 3.1436 loss_bbox: 1.5688 +2024/10/29 03:26:36 - mmengine - INFO - Epoch(train) [5][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:57:56 time: 0.4074 data_time: 0.0419 memory: 4655 grad_norm: 2.6080 loss: 4.6815 loss_cls: 3.1309 loss_bbox: 1.5506 +2024/10/29 03:26:57 - mmengine - INFO - Epoch(train) [5][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:57:03 time: 0.4141 data_time: 0.0422 memory: 4655 grad_norm: 2.5920 loss: 4.6918 loss_cls: 3.1475 loss_bbox: 1.5442 +2024/10/29 03:27:17 - mmengine - INFO - Epoch(train) [5][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:55:45 time: 0.4005 data_time: 0.0463 memory: 4655 grad_norm: 2.4624 loss: 4.7285 loss_cls: 3.1747 loss_bbox: 1.5538 +2024/10/29 03:27:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 03:27:18 - mmengine - INFO - Saving checkpoint at 5 epochs +2024/10/29 03:27:29 - mmengine - INFO - Epoch(val) [5][50/79] eta: 0:00:03 time: 0.1144 data_time: 0.0128 memory: 13774 +2024/10/29 03:27:49 - mmengine - INFO - Evaluating bbox... +2024/10/29 03:29:02 - mmengine - INFO - bbox_mAP_copypaste: 0.162 0.297 0.162 0.041 0.192 0.256 +2024/10/29 03:29:03 - mmengine - INFO - Epoch(val) [5][79/79] coco/bbox_mAP: 0.1620 coco/bbox_mAP_50: 0.2970 coco/bbox_mAP_75: 0.1620 coco/bbox_mAP_s: 0.0410 coco/bbox_mAP_m: 0.1920 coco/bbox_mAP_l: 0.2560 data_time: 0.0104 time: 0.1191 +2024/10/29 03:29:27 - mmengine - INFO - Epoch(train) [6][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:55:59 time: 0.4551 data_time: 0.0586 memory: 10094 grad_norm: 2.6329 loss: 4.8205 loss_cls: 3.2257 loss_bbox: 1.5948 +2024/10/29 03:29:47 - mmengine - INFO - Epoch(train) [6][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:54:50 time: 0.4047 data_time: 0.0398 memory: 4652 grad_norm: 2.6802 loss: 4.6658 loss_cls: 3.1409 loss_bbox: 1.5250 +2024/10/29 03:30:08 - mmengine - INFO - Epoch(train) [6][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:53:48 time: 0.4082 data_time: 0.0405 memory: 4652 grad_norm: 2.6806 loss: 4.8178 loss_cls: 3.1596 loss_bbox: 1.6581 +2024/10/29 03:30:28 - mmengine - INFO - Epoch(train) [6][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:52:27 time: 0.3983 data_time: 0.0385 memory: 4652 grad_norm: 2.6431 loss: 4.6163 loss_cls: 3.1087 loss_bbox: 1.5077 +2024/10/29 03:30:48 - mmengine - INFO - Epoch(train) [6][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:51:12 time: 0.4004 data_time: 0.0405 memory: 4652 grad_norm: 2.6099 loss: 4.7059 loss_cls: 3.1693 loss_bbox: 1.5366 +2024/10/29 03:31:08 - mmengine - INFO - Epoch(train) [6][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:50:17 time: 0.4113 data_time: 0.0412 memory: 4652 grad_norm: 2.4868 loss: 4.7004 loss_cls: 3.1231 loss_bbox: 1.5773 +2024/10/29 03:31:29 - mmengine - INFO - Epoch(train) [6][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:49:28 time: 0.4142 data_time: 0.0511 memory: 4652 grad_norm: 2.4323 loss: 4.7220 loss_cls: 3.1531 loss_bbox: 1.5688 +2024/10/29 03:31:49 - mmengine - INFO - Epoch(train) [6][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:48:31 time: 0.4100 data_time: 0.0485 memory: 4652 grad_norm: 2.6408 loss: 4.6608 loss_cls: 3.0876 loss_bbox: 1.5733 +2024/10/29 03:32:09 - mmengine - INFO - Epoch(train) [6][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:47:10 time: 0.3964 data_time: 0.0412 memory: 4652 grad_norm: 2.7729 loss: 4.7007 loss_cls: 3.1295 loss_bbox: 1.5711 +2024/10/29 03:32:29 - mmengine - INFO - Epoch(train) [6][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:45:50 time: 0.3966 data_time: 0.0405 memory: 4652 grad_norm: 2.8198 loss: 4.7318 loss_cls: 3.1667 loss_bbox: 1.5650 +2024/10/29 03:32:50 - mmengine - INFO - Epoch(train) [6][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:44:55 time: 0.4101 data_time: 0.0422 memory: 4652 grad_norm: 2.4745 loss: 4.7567 loss_cls: 3.1410 loss_bbox: 1.6156 +2024/10/29 03:33:10 - mmengine - INFO - Epoch(train) [6][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:43:43 time: 0.4004 data_time: 0.0412 memory: 4652 grad_norm: 2.7747 loss: 4.6510 loss_cls: 3.1040 loss_bbox: 1.5469 +2024/10/29 03:33:30 - mmengine - INFO - Epoch(train) [6][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:42:42 time: 0.4066 data_time: 0.0448 memory: 4652 grad_norm: 2.7749 loss: 4.6598 loss_cls: 3.0931 loss_bbox: 1.5667 +2024/10/29 03:33:50 - mmengine - INFO - Epoch(train) [6][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:41:31 time: 0.4004 data_time: 0.0419 memory: 4652 grad_norm: 2.5149 loss: 4.6305 loss_cls: 3.0904 loss_bbox: 1.5401 +2024/10/29 03:34:02 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 03:34:11 - mmengine - INFO - Epoch(train) [6][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:40:49 time: 0.4163 data_time: 0.0388 memory: 4652 grad_norm: 2.5677 loss: 4.7339 loss_cls: 3.1519 loss_bbox: 1.5820 +2024/10/29 03:34:30 - mmengine - INFO - Epoch(train) [6][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:39:25 time: 0.3925 data_time: 0.0387 memory: 4652 grad_norm: 2.6173 loss: 4.6255 loss_cls: 3.0891 loss_bbox: 1.5364 +2024/10/29 03:34:51 - mmengine - INFO - Epoch(train) [6][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:38:21 time: 0.4038 data_time: 0.0397 memory: 4652 grad_norm: 2.5274 loss: 4.6386 loss_cls: 3.1130 loss_bbox: 1.5255 +2024/10/29 03:35:11 - mmengine - INFO - Epoch(train) [6][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:37:32 time: 0.4120 data_time: 0.0395 memory: 4652 grad_norm: 2.5564 loss: 4.6831 loss_cls: 3.1312 loss_bbox: 1.5519 +2024/10/29 03:35:32 - mmengine - INFO - Epoch(train) [6][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:36:44 time: 0.4121 data_time: 0.0425 memory: 4652 grad_norm: 2.6499 loss: 4.8116 loss_cls: 3.2103 loss_bbox: 1.6013 +2024/10/29 03:35:52 - mmengine - INFO - Epoch(train) [6][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:35:56 time: 0.4124 data_time: 0.0368 memory: 4652 grad_norm: 2.4913 loss: 4.5865 loss_cls: 3.0930 loss_bbox: 1.4935 +2024/10/29 03:36:12 - mmengine - INFO - Epoch(train) [6][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:34:47 time: 0.3999 data_time: 0.0358 memory: 4652 grad_norm: 2.5456 loss: 4.7211 loss_cls: 3.1478 loss_bbox: 1.5733 +2024/10/29 03:36:33 - mmengine - INFO - Epoch(train) [6][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:33:57 time: 0.4110 data_time: 0.0358 memory: 4652 grad_norm: 2.7950 loss: 4.6170 loss_cls: 3.0895 loss_bbox: 1.5274 +2024/10/29 03:36:53 - mmengine - INFO - Epoch(train) [6][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:32:55 time: 0.4031 data_time: 0.0414 memory: 4652 grad_norm: 2.5901 loss: 4.5706 loss_cls: 3.0891 loss_bbox: 1.4815 +2024/10/29 03:37:13 - mmengine - INFO - Epoch(train) [6][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:31:52 time: 0.4029 data_time: 0.0378 memory: 4652 grad_norm: 2.6423 loss: 4.7122 loss_cls: 3.1891 loss_bbox: 1.5232 +2024/10/29 03:37:35 - mmengine - INFO - Epoch(train) [6][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:31:34 time: 0.4289 data_time: 0.0498 memory: 4652 grad_norm: 2.5819 loss: 4.7171 loss_cls: 3.1651 loss_bbox: 1.5520 +2024/10/29 03:37:54 - mmengine - INFO - Epoch(train) [6][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:30:15 time: 0.3931 data_time: 0.0378 memory: 4652 grad_norm: 2.6972 loss: 4.6111 loss_cls: 3.0805 loss_bbox: 1.5306 +2024/10/29 03:38:15 - mmengine - INFO - Epoch(train) [6][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:29:34 time: 0.4150 data_time: 0.0471 memory: 4652 grad_norm: 2.6286 loss: 4.8137 loss_cls: 3.1660 loss_bbox: 1.6477 +2024/10/29 03:38:35 - mmengine - INFO - Epoch(train) [6][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:28:40 time: 0.4070 data_time: 0.0388 memory: 4652 grad_norm: 2.6154 loss: 4.6522 loss_cls: 3.1101 loss_bbox: 1.5421 +2024/10/29 03:38:56 - mmengine - INFO - Epoch(train) [6][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:27:40 time: 0.4037 data_time: 0.0387 memory: 4652 grad_norm: 2.4508 loss: 4.6654 loss_cls: 3.1046 loss_bbox: 1.5607 +2024/10/29 03:39:17 - mmengine - INFO - Epoch(train) [6][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:27:05 time: 0.4183 data_time: 0.0423 memory: 4652 grad_norm: 2.5539 loss: 4.6743 loss_cls: 3.1121 loss_bbox: 1.5623 +2024/10/29 03:39:37 - mmengine - INFO - Epoch(train) [6][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:26:00 time: 0.3997 data_time: 0.0460 memory: 4652 grad_norm: 2.6823 loss: 4.5779 loss_cls: 3.1037 loss_bbox: 1.4743 +2024/10/29 03:39:57 - mmengine - INFO - Epoch(train) [6][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:25:00 time: 0.4029 data_time: 0.0400 memory: 4652 grad_norm: 2.5774 loss: 4.7268 loss_cls: 3.1834 loss_bbox: 1.5434 +2024/10/29 03:40:17 - mmengine - INFO - Epoch(train) [6][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:23:55 time: 0.3996 data_time: 0.0402 memory: 4652 grad_norm: 2.5991 loss: 4.7270 loss_cls: 3.1574 loss_bbox: 1.5697 +2024/10/29 03:40:37 - mmengine - INFO - Epoch(train) [6][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:22:59 time: 0.4045 data_time: 0.0392 memory: 4652 grad_norm: 2.5118 loss: 4.6912 loss_cls: 3.1374 loss_bbox: 1.5538 +2024/10/29 03:40:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 03:40:57 - mmengine - INFO - Epoch(train) [6][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:22:12 time: 0.4104 data_time: 0.0455 memory: 4652 grad_norm: 2.5915 loss: 4.7185 loss_cls: 3.1130 loss_bbox: 1.6055 +2024/10/29 03:41:18 - mmengine - INFO - Epoch(train) [6][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:21:27 time: 0.4116 data_time: 0.0439 memory: 4652 grad_norm: 2.4701 loss: 4.6349 loss_cls: 3.0660 loss_bbox: 1.5689 +2024/10/29 03:41:39 - mmengine - INFO - Epoch(train) [6][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:20:51 time: 0.4167 data_time: 0.0496 memory: 4652 grad_norm: 2.5096 loss: 4.6699 loss_cls: 3.1014 loss_bbox: 1.5685 +2024/10/29 03:41:59 - mmengine - INFO - Epoch(train) [6][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:19:40 time: 0.3947 data_time: 0.0395 memory: 4652 grad_norm: 2.6185 loss: 4.5554 loss_cls: 3.0288 loss_bbox: 1.5266 +2024/10/29 03:42:20 - mmengine - INFO - Epoch(train) [6][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:19:17 time: 0.4243 data_time: 0.0386 memory: 4652 grad_norm: 2.4719 loss: 4.5758 loss_cls: 3.0664 loss_bbox: 1.5094 +2024/10/29 03:42:40 - mmengine - INFO - Epoch(train) [6][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:18:20 time: 0.4035 data_time: 0.0391 memory: 4652 grad_norm: 2.5664 loss: 4.5965 loss_cls: 3.1166 loss_bbox: 1.4799 +2024/10/29 03:43:00 - mmengine - INFO - Epoch(train) [6][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:17:18 time: 0.3996 data_time: 0.0349 memory: 4652 grad_norm: 2.7757 loss: 4.6278 loss_cls: 3.0881 loss_bbox: 1.5397 +2024/10/29 03:43:20 - mmengine - INFO - Epoch(train) [6][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:16:20 time: 0.4022 data_time: 0.0375 memory: 4652 grad_norm: 2.6532 loss: 4.5863 loss_cls: 3.0756 loss_bbox: 1.5107 +2024/10/29 03:43:40 - mmengine - INFO - Epoch(train) [6][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:15:25 time: 0.4036 data_time: 0.0400 memory: 4652 grad_norm: 2.4788 loss: 4.7060 loss_cls: 3.1491 loss_bbox: 1.5569 +2024/10/29 03:44:00 - mmengine - INFO - Epoch(train) [6][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:14:28 time: 0.4021 data_time: 0.0456 memory: 4652 grad_norm: 2.6626 loss: 4.5854 loss_cls: 3.0507 loss_bbox: 1.5347 +2024/10/29 03:44:20 - mmengine - INFO - Epoch(train) [6][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:13:27 time: 0.3996 data_time: 0.0369 memory: 4652 grad_norm: 2.7136 loss: 4.6468 loss_cls: 3.0929 loss_bbox: 1.5539 +2024/10/29 03:44:41 - mmengine - INFO - Epoch(train) [6][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:12:36 time: 0.4055 data_time: 0.0366 memory: 4652 grad_norm: 2.5591 loss: 4.7485 loss_cls: 3.1375 loss_bbox: 1.6109 +2024/10/29 03:45:01 - mmengine - INFO - Epoch(train) [6][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:11:43 time: 0.4043 data_time: 0.0447 memory: 4652 grad_norm: 2.6198 loss: 4.6097 loss_cls: 3.0665 loss_bbox: 1.5431 +2024/10/29 03:45:22 - mmengine - INFO - Epoch(train) [6][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:11:16 time: 0.4213 data_time: 0.0405 memory: 4652 grad_norm: 2.4793 loss: 4.6535 loss_cls: 3.1119 loss_bbox: 1.5416 +2024/10/29 03:45:42 - mmengine - INFO - Epoch(train) [6][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:10:10 time: 0.3954 data_time: 0.0496 memory: 4652 grad_norm: 2.6903 loss: 4.7385 loss_cls: 3.1303 loss_bbox: 1.6081 +2024/10/29 03:46:02 - mmengine - INFO - Epoch(train) [6][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:09:25 time: 0.4089 data_time: 0.0410 memory: 4652 grad_norm: 2.5110 loss: 4.7108 loss_cls: 3.1385 loss_bbox: 1.5724 +2024/10/29 03:46:27 - mmengine - INFO - Epoch(train) [6][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:10:49 time: 0.4954 data_time: 0.1193 memory: 4652 grad_norm: 2.5794 loss: 4.5730 loss_cls: 3.0591 loss_bbox: 1.5138 +2024/10/29 03:46:48 - mmengine - INFO - Epoch(train) [6][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:10:20 time: 0.4205 data_time: 0.0528 memory: 4652 grad_norm: 2.4000 loss: 4.7633 loss_cls: 3.1676 loss_bbox: 1.5957 +2024/10/29 03:47:09 - mmengine - INFO - Epoch(train) [6][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:09:58 time: 0.4244 data_time: 0.0491 memory: 4652 grad_norm: 2.5660 loss: 4.6309 loss_cls: 3.1337 loss_bbox: 1.4972 +2024/10/29 03:47:30 - mmengine - INFO - Epoch(train) [6][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:09:28 time: 0.4190 data_time: 0.0423 memory: 4652 grad_norm: 2.5400 loss: 4.5755 loss_cls: 3.0782 loss_bbox: 1.4973 +2024/10/29 03:47:43 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 03:47:52 - mmengine - INFO - Epoch(train) [6][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:09:30 time: 0.4413 data_time: 0.0458 memory: 4652 grad_norm: 2.6546 loss: 4.7668 loss_cls: 3.1683 loss_bbox: 1.5985 +2024/10/29 03:48:14 - mmengine - INFO - Epoch(train) [6][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:09:32 time: 0.4411 data_time: 0.0472 memory: 4652 grad_norm: 2.7119 loss: 4.6013 loss_cls: 3.0845 loss_bbox: 1.5168 +2024/10/29 03:48:35 - mmengine - INFO - Epoch(train) [6][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:09:05 time: 0.4211 data_time: 0.0445 memory: 4652 grad_norm: 2.5780 loss: 4.6783 loss_cls: 3.1555 loss_bbox: 1.5228 +2024/10/29 03:48:56 - mmengine - INFO - Epoch(train) [6][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:08:16 time: 0.4060 data_time: 0.0425 memory: 4652 grad_norm: 2.6388 loss: 4.5931 loss_cls: 3.0794 loss_bbox: 1.5137 +2024/10/29 03:49:16 - mmengine - INFO - Epoch(train) [6][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:07:44 time: 0.4177 data_time: 0.0399 memory: 4652 grad_norm: 2.8797 loss: 4.5213 loss_cls: 3.0325 loss_bbox: 1.4889 +2024/10/29 03:49:37 - mmengine - INFO - Epoch(train) [6][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:07:05 time: 0.4127 data_time: 0.0375 memory: 4652 grad_norm: 2.6393 loss: 4.5404 loss_cls: 3.0212 loss_bbox: 1.5192 +2024/10/29 03:49:58 - mmengine - INFO - Epoch(train) [6][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:06:34 time: 0.4188 data_time: 0.0390 memory: 4652 grad_norm: 2.4135 loss: 4.5723 loss_cls: 3.0761 loss_bbox: 1.4962 +2024/10/29 03:49:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 03:49:59 - mmengine - INFO - Saving checkpoint at 6 epochs +2024/10/29 03:50:30 - mmengine - INFO - Epoch(train) [7][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:06:33 time: 0.4459 data_time: 0.0527 memory: 4652 grad_norm: 2.8363 loss: 4.6230 loss_cls: 3.1205 loss_bbox: 1.5025 +2024/10/29 03:50:52 - mmengine - INFO - Epoch(train) [7][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:06:28 time: 0.4366 data_time: 0.0462 memory: 4652 grad_norm: 2.5494 loss: 4.5668 loss_cls: 3.0622 loss_bbox: 1.5045 +2024/10/29 03:51:13 - mmengine - INFO - Epoch(train) [7][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:05:59 time: 0.4192 data_time: 0.0380 memory: 4652 grad_norm: 2.5429 loss: 4.5747 loss_cls: 3.0669 loss_bbox: 1.5078 +2024/10/29 03:51:34 - mmengine - INFO - Epoch(train) [7][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:05:45 time: 0.4309 data_time: 0.0375 memory: 4652 grad_norm: 2.5489 loss: 4.6183 loss_cls: 3.0901 loss_bbox: 1.5282 +2024/10/29 03:51:56 - mmengine - INFO - Epoch(train) [7][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:05:31 time: 0.4302 data_time: 0.0382 memory: 4652 grad_norm: 2.5860 loss: 4.6940 loss_cls: 3.1253 loss_bbox: 1.5688 +2024/10/29 03:52:18 - mmengine - INFO - Epoch(train) [7][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:05:18 time: 0.4313 data_time: 0.0415 memory: 4652 grad_norm: 2.8702 loss: 4.5401 loss_cls: 3.0326 loss_bbox: 1.5075 +2024/10/29 03:52:40 - mmengine - INFO - Epoch(train) [7][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:05:17 time: 0.4398 data_time: 0.0409 memory: 4652 grad_norm: 2.5510 loss: 4.6981 loss_cls: 3.0845 loss_bbox: 1.6136 +2024/10/29 03:53:01 - mmengine - INFO - Epoch(train) [7][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:04:53 time: 0.4231 data_time: 0.0395 memory: 4652 grad_norm: 2.7055 loss: 4.5949 loss_cls: 3.0497 loss_bbox: 1.5453 +2024/10/29 03:53:22 - mmengine - INFO - Epoch(train) [7][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:04:38 time: 0.4297 data_time: 0.0372 memory: 4652 grad_norm: 2.6737 loss: 4.5780 loss_cls: 3.0631 loss_bbox: 1.5149 +2024/10/29 03:53:43 - mmengine - INFO - Epoch(train) [7][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:04:17 time: 0.4256 data_time: 0.0372 memory: 4652 grad_norm: 2.6171 loss: 4.6206 loss_cls: 3.0978 loss_bbox: 1.5228 +2024/10/29 03:54:05 - mmengine - INFO - Epoch(train) [7][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:04:04 time: 0.4313 data_time: 0.0379 memory: 4652 grad_norm: 2.4986 loss: 4.6091 loss_cls: 3.0616 loss_bbox: 1.5475 +2024/10/29 03:54:27 - mmengine - INFO - Epoch(train) [7][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:03:56 time: 0.4350 data_time: 0.0448 memory: 4652 grad_norm: 2.8847 loss: 4.6531 loss_cls: 3.1139 loss_bbox: 1.5392 +2024/10/29 03:54:48 - mmengine - INFO - Epoch(train) [7][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:03:44 time: 0.4325 data_time: 0.0433 memory: 4652 grad_norm: 2.5307 loss: 4.5549 loss_cls: 3.0387 loss_bbox: 1.5162 +2024/10/29 03:55:00 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 03:55:11 - mmengine - INFO - Epoch(train) [7][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:03:47 time: 0.4431 data_time: 0.0505 memory: 4652 grad_norm: 2.4741 loss: 4.5827 loss_cls: 3.0859 loss_bbox: 1.4968 +2024/10/29 03:55:32 - mmengine - INFO - Epoch(train) [7][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:03:26 time: 0.4256 data_time: 0.0429 memory: 4652 grad_norm: 2.6203 loss: 4.6592 loss_cls: 3.1531 loss_bbox: 1.5061 +2024/10/29 03:55:54 - mmengine - INFO - Epoch(train) [7][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:03:21 time: 0.4380 data_time: 0.0404 memory: 4652 grad_norm: 2.6902 loss: 4.5840 loss_cls: 3.0547 loss_bbox: 1.5293 +2024/10/29 03:56:15 - mmengine - INFO - Epoch(train) [7][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:03:03 time: 0.4277 data_time: 0.0392 memory: 4652 grad_norm: 2.5627 loss: 4.6147 loss_cls: 3.0472 loss_bbox: 1.5675 +2024/10/29 03:56:36 - mmengine - INFO - Epoch(train) [7][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:02:29 time: 0.4157 data_time: 0.0396 memory: 4652 grad_norm: 2.8087 loss: 4.6479 loss_cls: 3.1244 loss_bbox: 1.5235 +2024/10/29 03:56:58 - mmengine - INFO - Epoch(train) [7][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:02:18 time: 0.4333 data_time: 0.0420 memory: 4652 grad_norm: 2.5591 loss: 4.7052 loss_cls: 3.1426 loss_bbox: 1.5627 +2024/10/29 03:57:19 - mmengine - INFO - Epoch(train) [7][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:01:59 time: 0.4276 data_time: 0.0456 memory: 4652 grad_norm: 2.7770 loss: 4.7205 loss_cls: 3.1324 loss_bbox: 1.5882 +2024/10/29 03:57:40 - mmengine - INFO - Epoch(train) [7][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:01:42 time: 0.4287 data_time: 0.0394 memory: 4652 grad_norm: 2.3869 loss: 4.6665 loss_cls: 3.0927 loss_bbox: 1.5738 +2024/10/29 03:58:02 - mmengine - INFO - Epoch(train) [7][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:01:38 time: 0.4387 data_time: 0.0532 memory: 4652 grad_norm: 2.4223 loss: 4.6251 loss_cls: 3.0881 loss_bbox: 1.5370 +2024/10/29 03:58:27 - mmengine - INFO - Epoch(train) [7][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:02:36 time: 0.4866 data_time: 0.1089 memory: 4652 grad_norm: 2.7007 loss: 4.5840 loss_cls: 3.0446 loss_bbox: 1.5394 +2024/10/29 03:58:48 - mmengine - INFO - Epoch(train) [7][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:02:11 time: 0.4232 data_time: 0.0391 memory: 4652 grad_norm: 2.7286 loss: 4.6378 loss_cls: 3.0869 loss_bbox: 1.5509 +2024/10/29 03:59:10 - mmengine - INFO - Epoch(train) [7][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:02:04 time: 0.4364 data_time: 0.0419 memory: 4652 grad_norm: 2.6132 loss: 4.5830 loss_cls: 3.0791 loss_bbox: 1.5039 +2024/10/29 03:59:31 - mmengine - INFO - Epoch(train) [7][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:01:44 time: 0.4275 data_time: 0.0391 memory: 4652 grad_norm: 2.6744 loss: 4.7243 loss_cls: 3.1428 loss_bbox: 1.5815 +2024/10/29 03:59:53 - mmengine - INFO - Epoch(train) [7][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:01:31 time: 0.4316 data_time: 0.0403 memory: 4652 grad_norm: 2.6005 loss: 4.6986 loss_cls: 3.1058 loss_bbox: 1.5927 +2024/10/29 04:00:14 - mmengine - INFO - Epoch(train) [7][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:01:12 time: 0.4282 data_time: 0.0393 memory: 4652 grad_norm: 2.6649 loss: 4.6328 loss_cls: 3.0952 loss_bbox: 1.5376 +2024/10/29 04:00:36 - mmengine - INFO - Epoch(train) [7][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:00:59 time: 0.4321 data_time: 0.0440 memory: 4652 grad_norm: 2.6470 loss: 4.6332 loss_cls: 3.1093 loss_bbox: 1.5238 +2024/10/29 04:00:57 - mmengine - INFO - Epoch(train) [7][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:00:30 time: 0.4202 data_time: 0.0402 memory: 4652 grad_norm: 2.6789 loss: 4.5769 loss_cls: 3.0776 loss_bbox: 1.4993 +2024/10/29 04:01:18 - mmengine - INFO - Epoch(train) [7][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 17:00:08 time: 0.4255 data_time: 0.0418 memory: 4652 grad_norm: 2.5166 loss: 4.6110 loss_cls: 3.0752 loss_bbox: 1.5358 +2024/10/29 04:01:40 - mmengine - INFO - Epoch(train) [7][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:59:57 time: 0.4335 data_time: 0.0392 memory: 4652 grad_norm: 2.5382 loss: 4.6805 loss_cls: 3.1274 loss_bbox: 1.5530 +2024/10/29 04:02:01 - mmengine - INFO - Epoch(train) [7][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:59:32 time: 0.4230 data_time: 0.0386 memory: 4652 grad_norm: 2.6031 loss: 4.6372 loss_cls: 3.1041 loss_bbox: 1.5332 +2024/10/29 04:02:12 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 04:02:22 - mmengine - INFO - Epoch(train) [7][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:59:15 time: 0.4297 data_time: 0.0397 memory: 4652 grad_norm: 2.7062 loss: 4.6220 loss_cls: 3.0884 loss_bbox: 1.5336 +2024/10/29 04:02:43 - mmengine - INFO - Epoch(train) [7][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:58:51 time: 0.4238 data_time: 0.0455 memory: 4652 grad_norm: 2.7937 loss: 4.6817 loss_cls: 3.1185 loss_bbox: 1.5632 +2024/10/29 04:03:05 - mmengine - INFO - Epoch(train) [7][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:58:26 time: 0.4228 data_time: 0.0402 memory: 4652 grad_norm: 2.6719 loss: 4.6432 loss_cls: 3.1276 loss_bbox: 1.5157 +2024/10/29 04:03:27 - mmengine - INFO - Epoch(train) [7][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:58:29 time: 0.4457 data_time: 0.0502 memory: 4652 grad_norm: 2.8406 loss: 4.5501 loss_cls: 3.0479 loss_bbox: 1.5022 +2024/10/29 04:03:48 - mmengine - INFO - Epoch(train) [7][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:58:06 time: 0.4240 data_time: 0.0389 memory: 4652 grad_norm: 2.6299 loss: 4.4810 loss_cls: 2.9989 loss_bbox: 1.4821 +2024/10/29 04:04:10 - mmengine - INFO - Epoch(train) [7][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:58:02 time: 0.4404 data_time: 0.0416 memory: 4652 grad_norm: 2.5897 loss: 4.6871 loss_cls: 3.1442 loss_bbox: 1.5429 +2024/10/29 04:04:32 - mmengine - INFO - Epoch(train) [7][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:57:46 time: 0.4305 data_time: 0.0424 memory: 4652 grad_norm: 2.6297 loss: 4.5651 loss_cls: 3.0383 loss_bbox: 1.5268 +2024/10/29 04:04:53 - mmengine - INFO - Epoch(train) [7][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:57:35 time: 0.4347 data_time: 0.0430 memory: 4652 grad_norm: 2.4909 loss: 4.6364 loss_cls: 3.0725 loss_bbox: 1.5638 +2024/10/29 04:05:15 - mmengine - INFO - Epoch(train) [7][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:57:26 time: 0.4356 data_time: 0.0452 memory: 4652 grad_norm: 2.8265 loss: 4.6077 loss_cls: 3.0920 loss_bbox: 1.5156 +2024/10/29 04:05:36 - mmengine - INFO - Epoch(train) [7][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:57:05 time: 0.4267 data_time: 0.0456 memory: 4652 grad_norm: 2.6993 loss: 4.6119 loss_cls: 3.0759 loss_bbox: 1.5360 +2024/10/29 04:05:58 - mmengine - INFO - Epoch(train) [7][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:56:52 time: 0.4325 data_time: 0.0395 memory: 4652 grad_norm: 2.4536 loss: 4.6401 loss_cls: 3.0670 loss_bbox: 1.5731 +2024/10/29 04:06:20 - mmengine - INFO - Epoch(train) [7][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:56:43 time: 0.4367 data_time: 0.0398 memory: 4652 grad_norm: 2.8323 loss: 4.7047 loss_cls: 3.1153 loss_bbox: 1.5893 +2024/10/29 04:06:42 - mmengine - INFO - Epoch(train) [7][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:56:30 time: 0.4328 data_time: 0.0407 memory: 4652 grad_norm: 2.4518 loss: 4.7670 loss_cls: 3.1940 loss_bbox: 1.5730 +2024/10/29 04:07:03 - mmengine - INFO - Epoch(train) [7][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:56:21 time: 0.4372 data_time: 0.0452 memory: 4652 grad_norm: 2.7161 loss: 4.7203 loss_cls: 3.1165 loss_bbox: 1.6039 +2024/10/29 04:07:26 - mmengine - INFO - Epoch(train) [7][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:56:42 time: 0.4616 data_time: 0.0810 memory: 4652 grad_norm: 2.5978 loss: 4.6830 loss_cls: 3.1246 loss_bbox: 1.5584 +2024/10/29 04:07:49 - mmengine - INFO - Epoch(train) [7][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:56:46 time: 0.4483 data_time: 0.0556 memory: 4652 grad_norm: 2.8048 loss: 4.6392 loss_cls: 3.0904 loss_bbox: 1.5488 +2024/10/29 04:08:11 - mmengine - INFO - Epoch(train) [7][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:56:33 time: 0.4333 data_time: 0.0395 memory: 4652 grad_norm: 2.6694 loss: 4.6595 loss_cls: 3.1017 loss_bbox: 1.5578 +2024/10/29 04:08:32 - mmengine - INFO - Epoch(train) [7][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:56:12 time: 0.4264 data_time: 0.0389 memory: 4652 grad_norm: 2.7206 loss: 4.6283 loss_cls: 3.1028 loss_bbox: 1.5255 +2024/10/29 04:08:54 - mmengine - INFO - Epoch(train) [7][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:56:16 time: 0.4483 data_time: 0.0464 memory: 4652 grad_norm: 2.6218 loss: 4.5948 loss_cls: 3.0712 loss_bbox: 1.5237 +2024/10/29 04:09:16 - mmengine - INFO - Epoch(train) [7][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:55:53 time: 0.4251 data_time: 0.0421 memory: 4652 grad_norm: 2.6030 loss: 4.6352 loss_cls: 3.0980 loss_bbox: 1.5372 +2024/10/29 04:09:27 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 04:09:37 - mmengine - INFO - Epoch(train) [7][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:55:32 time: 0.4263 data_time: 0.0456 memory: 4652 grad_norm: 2.6590 loss: 4.6361 loss_cls: 3.0493 loss_bbox: 1.5867 +2024/10/29 04:09:59 - mmengine - INFO - Epoch(train) [7][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:55:18 time: 0.4333 data_time: 0.0429 memory: 4652 grad_norm: 2.6672 loss: 4.5349 loss_cls: 3.0435 loss_bbox: 1.4913 +2024/10/29 04:10:20 - mmengine - INFO - Epoch(train) [7][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:54:59 time: 0.4287 data_time: 0.0397 memory: 4652 grad_norm: 2.5310 loss: 4.6217 loss_cls: 3.1015 loss_bbox: 1.5202 +2024/10/29 04:10:42 - mmengine - INFO - Epoch(train) [7][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:55:03 time: 0.4480 data_time: 0.0398 memory: 4652 grad_norm: 2.3671 loss: 4.6357 loss_cls: 3.0764 loss_bbox: 1.5593 +2024/10/29 04:11:04 - mmengine - INFO - Epoch(train) [7][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:54:45 time: 0.4297 data_time: 0.0404 memory: 4652 grad_norm: 2.6105 loss: 4.6048 loss_cls: 3.0658 loss_bbox: 1.5390 +2024/10/29 04:11:27 - mmengine - INFO - Epoch(train) [7][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:55:04 time: 0.4623 data_time: 0.0646 memory: 4652 grad_norm: 2.7497 loss: 4.6279 loss_cls: 3.0833 loss_bbox: 1.5446 +2024/10/29 04:11:49 - mmengine - INFO - Epoch(train) [7][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:54:54 time: 0.4367 data_time: 0.0388 memory: 4652 grad_norm: 2.6420 loss: 4.6180 loss_cls: 3.0391 loss_bbox: 1.5790 +2024/10/29 04:12:11 - mmengine - INFO - Epoch(train) [7][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:54:47 time: 0.4393 data_time: 0.0405 memory: 4652 grad_norm: 2.3839 loss: 4.7331 loss_cls: 3.1366 loss_bbox: 1.5965 +2024/10/29 04:12:12 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 04:12:12 - mmengine - INFO - Saving checkpoint at 7 epochs +2024/10/29 04:12:38 - mmengine - INFO - Epoch(train) [8][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:54:20 time: 0.4285 data_time: 0.0587 memory: 4652 grad_norm: 2.7161 loss: 4.6181 loss_cls: 3.0775 loss_bbox: 1.5406 +2024/10/29 04:12:58 - mmengine - INFO - Epoch(train) [8][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:53:28 time: 0.3994 data_time: 0.0398 memory: 4652 grad_norm: 2.5876 loss: 4.6544 loss_cls: 3.1057 loss_bbox: 1.5487 +2024/10/29 04:13:18 - mmengine - INFO - Epoch(train) [8][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:52:47 time: 0.4091 data_time: 0.0389 memory: 4652 grad_norm: 2.6009 loss: 4.7485 loss_cls: 3.1509 loss_bbox: 1.5976 +2024/10/29 04:13:39 - mmengine - INFO - Epoch(train) [8][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:52:10 time: 0.4124 data_time: 0.0439 memory: 4652 grad_norm: 2.5691 loss: 4.6660 loss_cls: 3.1225 loss_bbox: 1.5435 +2024/10/29 04:13:59 - mmengine - INFO - Epoch(train) [8][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:51:33 time: 0.4125 data_time: 0.0380 memory: 4652 grad_norm: 2.4398 loss: 4.5759 loss_cls: 3.0746 loss_bbox: 1.5013 +2024/10/29 04:14:20 - mmengine - INFO - Epoch(train) [8][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:51:01 time: 0.4171 data_time: 0.0446 memory: 4652 grad_norm: 2.6811 loss: 4.6511 loss_cls: 3.0761 loss_bbox: 1.5750 +2024/10/29 04:14:40 - mmengine - INFO - Epoch(train) [8][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:50:15 time: 0.4042 data_time: 0.0404 memory: 4652 grad_norm: 2.6133 loss: 4.6667 loss_cls: 3.1040 loss_bbox: 1.5627 +2024/10/29 04:15:02 - mmengine - INFO - Epoch(train) [8][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:49:47 time: 0.4203 data_time: 0.0377 memory: 4652 grad_norm: 2.6245 loss: 4.6883 loss_cls: 3.1228 loss_bbox: 1.5655 +2024/10/29 04:15:25 - mmengine - INFO - Epoch(train) [8][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:50:16 time: 0.4728 data_time: 0.1131 memory: 4652 grad_norm: 2.6130 loss: 4.5203 loss_cls: 3.0548 loss_bbox: 1.4654 +2024/10/29 04:15:45 - mmengine - INFO - Epoch(train) [8][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:49:33 time: 0.4066 data_time: 0.0419 memory: 4652 grad_norm: 2.6847 loss: 4.6843 loss_cls: 3.1251 loss_bbox: 1.5592 +2024/10/29 04:16:06 - mmengine - INFO - Epoch(train) [8][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:48:55 time: 0.4113 data_time: 0.0392 memory: 4652 grad_norm: 2.6472 loss: 4.5755 loss_cls: 3.0997 loss_bbox: 1.4758 +2024/10/29 04:16:27 - mmengine - INFO - Epoch(train) [8][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:48:31 time: 0.4241 data_time: 0.0542 memory: 4652 grad_norm: 2.6056 loss: 4.5941 loss_cls: 3.0743 loss_bbox: 1.5198 +2024/10/29 04:16:36 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 04:16:48 - mmengine - INFO - Epoch(train) [8][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:48:01 time: 0.4182 data_time: 0.0396 memory: 4652 grad_norm: 2.4605 loss: 4.5634 loss_cls: 3.1059 loss_bbox: 1.4575 +2024/10/29 04:17:08 - mmengine - INFO - Epoch(train) [8][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:47:09 time: 0.3976 data_time: 0.0388 memory: 4652 grad_norm: 2.4702 loss: 4.5238 loss_cls: 3.0346 loss_bbox: 1.4893 +2024/10/29 04:17:29 - mmengine - INFO - Epoch(train) [8][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:46:34 time: 0.4135 data_time: 0.0388 memory: 4652 grad_norm: 2.8355 loss: 4.5937 loss_cls: 3.0359 loss_bbox: 1.5578 +2024/10/29 04:17:49 - mmengine - INFO - Epoch(train) [8][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:45:52 time: 0.4071 data_time: 0.0462 memory: 4652 grad_norm: 2.5914 loss: 4.5582 loss_cls: 3.0650 loss_bbox: 1.4932 +2024/10/29 04:18:10 - mmengine - INFO - Epoch(train) [8][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:45:21 time: 0.4171 data_time: 0.0383 memory: 4652 grad_norm: 2.6909 loss: 4.6397 loss_cls: 3.0912 loss_bbox: 1.5485 +2024/10/29 04:18:31 - mmengine - INFO - Epoch(train) [8][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:44:56 time: 0.4227 data_time: 0.0394 memory: 4652 grad_norm: 2.4466 loss: 4.5420 loss_cls: 2.9979 loss_bbox: 1.5441 +2024/10/29 04:18:52 - mmengine - INFO - Epoch(train) [8][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:44:29 time: 0.4212 data_time: 0.0460 memory: 4652 grad_norm: 2.6572 loss: 4.6254 loss_cls: 3.0884 loss_bbox: 1.5370 +2024/10/29 04:19:13 - mmengine - INFO - Epoch(train) [8][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:43:51 time: 0.4103 data_time: 0.0374 memory: 4652 grad_norm: 2.4645 loss: 4.5989 loss_cls: 3.0847 loss_bbox: 1.5142 +2024/10/29 04:19:33 - mmengine - INFO - Epoch(train) [8][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:43:09 time: 0.4062 data_time: 0.0376 memory: 4652 grad_norm: 2.7633 loss: 4.4545 loss_cls: 3.0149 loss_bbox: 1.4396 +2024/10/29 04:19:54 - mmengine - INFO - Epoch(train) [8][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:42:45 time: 0.4236 data_time: 0.0389 memory: 4652 grad_norm: 2.6567 loss: 4.5565 loss_cls: 3.0301 loss_bbox: 1.5264 +2024/10/29 04:20:15 - mmengine - INFO - Epoch(train) [8][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:42:12 time: 0.4155 data_time: 0.0386 memory: 4652 grad_norm: 2.6485 loss: 4.6428 loss_cls: 3.0687 loss_bbox: 1.5741 +2024/10/29 04:20:36 - mmengine - INFO - Epoch(train) [8][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:41:48 time: 0.4228 data_time: 0.0390 memory: 4652 grad_norm: 2.6765 loss: 4.6169 loss_cls: 3.0750 loss_bbox: 1.5420 +2024/10/29 04:20:57 - mmengine - INFO - Epoch(train) [8][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:41:28 time: 0.4276 data_time: 0.0393 memory: 4652 grad_norm: 2.4717 loss: 4.6011 loss_cls: 3.0667 loss_bbox: 1.5344 +2024/10/29 04:21:18 - mmengine - INFO - Epoch(train) [8][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:40:57 time: 0.4167 data_time: 0.0441 memory: 4652 grad_norm: 2.8703 loss: 4.5619 loss_cls: 3.0334 loss_bbox: 1.5284 +2024/10/29 04:21:40 - mmengine - INFO - Epoch(train) [8][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:40:38 time: 0.4277 data_time: 0.0384 memory: 4652 grad_norm: 2.7743 loss: 4.6298 loss_cls: 3.0537 loss_bbox: 1.5761 +2024/10/29 04:22:00 - mmengine - INFO - Epoch(train) [8][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:40:02 time: 0.4124 data_time: 0.0409 memory: 4652 grad_norm: 2.8763 loss: 4.5961 loss_cls: 3.0805 loss_bbox: 1.5155 +2024/10/29 04:22:22 - mmengine - INFO - Epoch(train) [8][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:39:46 time: 0.4308 data_time: 0.0381 memory: 4652 grad_norm: 2.6593 loss: 4.5404 loss_cls: 3.0616 loss_bbox: 1.4788 +2024/10/29 04:22:43 - mmengine - INFO - Epoch(train) [8][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:39:20 time: 0.4214 data_time: 0.0380 memory: 4652 grad_norm: 2.6331 loss: 4.6191 loss_cls: 3.0719 loss_bbox: 1.5472 +2024/10/29 04:23:04 - mmengine - INFO - Epoch(train) [8][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:39:01 time: 0.4278 data_time: 0.0412 memory: 4652 grad_norm: 2.8373 loss: 4.6390 loss_cls: 3.0980 loss_bbox: 1.5410 +2024/10/29 04:23:26 - mmengine - INFO - Epoch(train) [8][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:38:47 time: 0.4335 data_time: 0.0489 memory: 4652 grad_norm: 2.5297 loss: 4.6553 loss_cls: 3.1219 loss_bbox: 1.5334 +2024/10/29 04:23:35 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 04:23:47 - mmengine - INFO - Epoch(train) [8][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:38:14 time: 0.4145 data_time: 0.0409 memory: 4652 grad_norm: 2.5063 loss: 4.5565 loss_cls: 3.0275 loss_bbox: 1.5289 +2024/10/29 04:24:08 - mmengine - INFO - Epoch(train) [8][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:38:02 time: 0.4355 data_time: 0.0410 memory: 4652 grad_norm: 2.6750 loss: 4.6228 loss_cls: 3.1254 loss_bbox: 1.4975 +2024/10/29 04:24:29 - mmengine - INFO - Epoch(train) [8][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:37:32 time: 0.4168 data_time: 0.0381 memory: 4652 grad_norm: 2.6784 loss: 4.6212 loss_cls: 3.0633 loss_bbox: 1.5579 +2024/10/29 04:24:50 - mmengine - INFO - Epoch(train) [8][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:37:00 time: 0.4152 data_time: 0.0452 memory: 4652 grad_norm: 2.5027 loss: 4.5591 loss_cls: 3.0368 loss_bbox: 1.5223 +2024/10/29 04:25:11 - mmengine - INFO - Epoch(train) [8][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:36:34 time: 0.4213 data_time: 0.0398 memory: 4652 grad_norm: 2.7168 loss: 4.6185 loss_cls: 3.0781 loss_bbox: 1.5404 +2024/10/29 04:25:32 - mmengine - INFO - Epoch(train) [8][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:36:09 time: 0.4224 data_time: 0.0393 memory: 4652 grad_norm: 2.4624 loss: 4.5518 loss_cls: 3.0678 loss_bbox: 1.4840 +2024/10/29 04:25:54 - mmengine - INFO - Epoch(train) [8][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:35:48 time: 0.4260 data_time: 0.0397 memory: 4652 grad_norm: 2.7195 loss: 4.6695 loss_cls: 3.1182 loss_bbox: 1.5513 +2024/10/29 04:26:14 - mmengine - INFO - Epoch(train) [8][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:35:15 time: 0.4145 data_time: 0.0413 memory: 4652 grad_norm: 2.6445 loss: 4.6101 loss_cls: 3.0455 loss_bbox: 1.5646 +2024/10/29 04:26:35 - mmengine - INFO - Epoch(train) [8][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:34:43 time: 0.4150 data_time: 0.0395 memory: 4652 grad_norm: 2.4966 loss: 4.5916 loss_cls: 3.0646 loss_bbox: 1.5270 +2024/10/29 04:26:56 - mmengine - INFO - Epoch(train) [8][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:34:13 time: 0.4172 data_time: 0.0403 memory: 4652 grad_norm: 2.7716 loss: 4.5392 loss_cls: 3.0168 loss_bbox: 1.5223 +2024/10/29 04:27:17 - mmengine - INFO - Epoch(train) [8][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:33:45 time: 0.4192 data_time: 0.0400 memory: 4652 grad_norm: 2.4821 loss: 4.5671 loss_cls: 3.0479 loss_bbox: 1.5193 +2024/10/29 04:27:38 - mmengine - INFO - Epoch(train) [8][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:33:20 time: 0.4221 data_time: 0.0385 memory: 4652 grad_norm: 2.7688 loss: 4.6296 loss_cls: 3.0649 loss_bbox: 1.5647 +2024/10/29 04:27:59 - mmengine - INFO - Epoch(train) [8][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:32:53 time: 0.4192 data_time: 0.0452 memory: 4652 grad_norm: 2.3884 loss: 4.6440 loss_cls: 3.0951 loss_bbox: 1.5489 +2024/10/29 04:28:20 - mmengine - INFO - Epoch(train) [8][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:32:19 time: 0.4135 data_time: 0.0417 memory: 4652 grad_norm: 2.6499 loss: 4.6416 loss_cls: 3.1224 loss_bbox: 1.5192 +2024/10/29 04:28:41 - mmengine - INFO - Epoch(train) [8][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:31:56 time: 0.4231 data_time: 0.0396 memory: 4652 grad_norm: 2.7531 loss: 4.5727 loss_cls: 3.0528 loss_bbox: 1.5199 +2024/10/29 04:29:01 - mmengine - INFO - Epoch(train) [8][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:31:18 time: 0.4092 data_time: 0.0387 memory: 4652 grad_norm: 2.7168 loss: 4.5527 loss_cls: 3.0355 loss_bbox: 1.5172 +2024/10/29 04:29:26 - mmengine - INFO - Epoch(train) [8][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:32:12 time: 0.5030 data_time: 0.1239 memory: 4652 grad_norm: 2.6670 loss: 4.6166 loss_cls: 3.0948 loss_bbox: 1.5218 +2024/10/29 04:29:47 - mmengine - INFO - Epoch(train) [8][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:31:35 time: 0.4098 data_time: 0.0387 memory: 4652 grad_norm: 2.4509 loss: 4.5788 loss_cls: 3.0477 loss_bbox: 1.5311 +2024/10/29 04:30:08 - mmengine - INFO - Epoch(train) [8][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:31:03 time: 0.4150 data_time: 0.0396 memory: 4652 grad_norm: 2.3778 loss: 4.5788 loss_cls: 3.0540 loss_bbox: 1.5248 +2024/10/29 04:30:29 - mmengine - INFO - Epoch(train) [8][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:30:51 time: 0.4352 data_time: 0.0429 memory: 4652 grad_norm: 2.5146 loss: 4.5421 loss_cls: 3.0473 loss_bbox: 1.4948 +2024/10/29 04:30:39 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 04:30:50 - mmengine - INFO - Epoch(train) [8][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:30:13 time: 0.4083 data_time: 0.0374 memory: 4652 grad_norm: 2.5475 loss: 4.5910 loss_cls: 3.0841 loss_bbox: 1.5069 +2024/10/29 04:31:11 - mmengine - INFO - Epoch(train) [8][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:29:51 time: 0.4255 data_time: 0.0384 memory: 4652 grad_norm: 2.5132 loss: 4.5099 loss_cls: 3.0175 loss_bbox: 1.4924 +2024/10/29 04:31:32 - mmengine - INFO - Epoch(train) [8][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:29:26 time: 0.4210 data_time: 0.0445 memory: 4652 grad_norm: 2.4294 loss: 4.4905 loss_cls: 2.9927 loss_bbox: 1.4978 +2024/10/29 04:31:52 - mmengine - INFO - Epoch(train) [8][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:28:45 time: 0.4050 data_time: 0.0389 memory: 4652 grad_norm: 2.6534 loss: 4.5626 loss_cls: 3.0505 loss_bbox: 1.5120 +2024/10/29 04:32:14 - mmengine - INFO - Epoch(train) [8][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:28:37 time: 0.4402 data_time: 0.0477 memory: 4652 grad_norm: 2.5518 loss: 4.5434 loss_cls: 3.0499 loss_bbox: 1.4935 +2024/10/29 04:32:35 - mmengine - INFO - Epoch(train) [8][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:27:59 time: 0.4080 data_time: 0.0413 memory: 4652 grad_norm: 2.6234 loss: 4.5360 loss_cls: 3.0504 loss_bbox: 1.4856 +2024/10/29 04:32:56 - mmengine - INFO - Epoch(train) [8][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:27:32 time: 0.4196 data_time: 0.0418 memory: 4652 grad_norm: 2.5792 loss: 4.6092 loss_cls: 3.0953 loss_bbox: 1.5139 +2024/10/29 04:33:17 - mmengine - INFO - Epoch(train) [8][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:27:02 time: 0.4167 data_time: 0.0377 memory: 4652 grad_norm: 2.6439 loss: 4.5971 loss_cls: 3.0781 loss_bbox: 1.5190 +2024/10/29 04:33:37 - mmengine - INFO - Epoch(train) [8][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:26:24 time: 0.4078 data_time: 0.0445 memory: 4652 grad_norm: 2.7317 loss: 4.5626 loss_cls: 3.0174 loss_bbox: 1.5451 +2024/10/29 04:33:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 04:33:38 - mmengine - INFO - Saving checkpoint at 8 epochs +2024/10/29 04:34:05 - mmengine - INFO - Epoch(train) [9][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:26:02 time: 0.4324 data_time: 0.0565 memory: 4652 grad_norm: 2.6121 loss: 4.5252 loss_cls: 3.0304 loss_bbox: 1.4949 +2024/10/29 04:34:26 - mmengine - INFO - Epoch(train) [9][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:25:31 time: 0.4145 data_time: 0.0379 memory: 4652 grad_norm: 2.8312 loss: 4.5770 loss_cls: 3.0168 loss_bbox: 1.5602 +2024/10/29 04:34:47 - mmengine - INFO - Epoch(train) [9][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:25:04 time: 0.4194 data_time: 0.0376 memory: 4652 grad_norm: 2.5233 loss: 4.6340 loss_cls: 3.0989 loss_bbox: 1.5350 +2024/10/29 04:35:08 - mmengine - INFO - Epoch(train) [9][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:24:37 time: 0.4194 data_time: 0.0377 memory: 4652 grad_norm: 2.6505 loss: 4.5790 loss_cls: 3.0431 loss_bbox: 1.5359 +2024/10/29 04:35:28 - mmengine - INFO - Epoch(train) [9][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:24:06 time: 0.4160 data_time: 0.0372 memory: 4652 grad_norm: 2.4856 loss: 4.5533 loss_cls: 3.0102 loss_bbox: 1.5431 +2024/10/29 04:35:49 - mmengine - INFO - Epoch(train) [9][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:23:38 time: 0.4172 data_time: 0.0442 memory: 4652 grad_norm: 2.6002 loss: 4.5486 loss_cls: 3.0325 loss_bbox: 1.5161 +2024/10/29 04:36:10 - mmengine - INFO - Epoch(train) [9][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:23:16 time: 0.4249 data_time: 0.0414 memory: 4652 grad_norm: 2.5331 loss: 4.5892 loss_cls: 3.0529 loss_bbox: 1.5363 +2024/10/29 04:36:32 - mmengine - INFO - Epoch(train) [9][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:22:55 time: 0.4264 data_time: 0.0363 memory: 4652 grad_norm: 2.7913 loss: 4.5219 loss_cls: 3.0599 loss_bbox: 1.4620 +2024/10/29 04:36:53 - mmengine - INFO - Epoch(train) [9][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:22:28 time: 0.4195 data_time: 0.0373 memory: 4652 grad_norm: 2.5089 loss: 4.7232 loss_cls: 3.1251 loss_bbox: 1.5981 +2024/10/29 04:37:14 - mmengine - INFO - Epoch(train) [9][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:22:09 time: 0.4270 data_time: 0.0462 memory: 4652 grad_norm: 2.4108 loss: 4.6439 loss_cls: 3.0876 loss_bbox: 1.5563 +2024/10/29 04:37:36 - mmengine - INFO - Epoch(train) [9][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:21:51 time: 0.4290 data_time: 0.0390 memory: 4652 grad_norm: 2.5490 loss: 4.6920 loss_cls: 3.1343 loss_bbox: 1.5577 +2024/10/29 04:37:44 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 04:37:57 - mmengine - INFO - Epoch(train) [9][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:21:24 time: 0.4195 data_time: 0.0444 memory: 4652 grad_norm: 2.6895 loss: 4.6419 loss_cls: 3.0774 loss_bbox: 1.5645 +2024/10/29 04:38:18 - mmengine - INFO - Epoch(train) [9][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:21:15 time: 0.4388 data_time: 0.0478 memory: 4652 grad_norm: 2.5436 loss: 4.5676 loss_cls: 3.0481 loss_bbox: 1.5195 +2024/10/29 04:38:40 - mmengine - INFO - Epoch(train) [9][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:21:00 time: 0.4335 data_time: 0.0383 memory: 4652 grad_norm: 2.6267 loss: 4.5581 loss_cls: 3.0660 loss_bbox: 1.4921 +2024/10/29 04:39:02 - mmengine - INFO - Epoch(train) [9][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:20:47 time: 0.4341 data_time: 0.0415 memory: 4652 grad_norm: 2.6354 loss: 4.5451 loss_cls: 3.0214 loss_bbox: 1.5237 +2024/10/29 04:39:27 - mmengine - INFO - Epoch(train) [9][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:21:29 time: 0.4968 data_time: 0.1234 memory: 4652 grad_norm: 2.5767 loss: 4.5693 loss_cls: 3.0843 loss_bbox: 1.4850 +2024/10/29 04:39:48 - mmengine - INFO - Epoch(train) [9][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:21:04 time: 0.4220 data_time: 0.0390 memory: 4652 grad_norm: 2.5767 loss: 4.5745 loss_cls: 3.0601 loss_bbox: 1.5144 +2024/10/29 04:40:09 - mmengine - INFO - Epoch(train) [9][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:20:48 time: 0.4316 data_time: 0.0451 memory: 4652 grad_norm: 2.6589 loss: 4.6531 loss_cls: 3.0988 loss_bbox: 1.5543 +2024/10/29 04:40:31 - mmengine - INFO - Epoch(train) [9][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:20:38 time: 0.4380 data_time: 0.0473 memory: 4652 grad_norm: 2.6788 loss: 4.5916 loss_cls: 3.0338 loss_bbox: 1.5578 +2024/10/29 04:40:54 - mmengine - INFO - Epoch(train) [9][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:20:34 time: 0.4452 data_time: 0.0474 memory: 4652 grad_norm: 2.8236 loss: 4.5878 loss_cls: 3.0441 loss_bbox: 1.5437 +2024/10/29 04:41:15 - mmengine - INFO - Epoch(train) [9][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:20:06 time: 0.4189 data_time: 0.0388 memory: 4652 grad_norm: 2.5903 loss: 4.4633 loss_cls: 2.9906 loss_bbox: 1.4727 +2024/10/29 04:41:36 - mmengine - INFO - Epoch(train) [9][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:19:44 time: 0.4251 data_time: 0.0395 memory: 4652 grad_norm: 2.7466 loss: 4.5924 loss_cls: 3.0395 loss_bbox: 1.5529 +2024/10/29 04:41:57 - mmengine - INFO - Epoch(train) [9][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:19:30 time: 0.4338 data_time: 0.0395 memory: 4652 grad_norm: 2.5021 loss: 4.5145 loss_cls: 3.0271 loss_bbox: 1.4875 +2024/10/29 04:42:18 - mmengine - INFO - Epoch(train) [9][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:19:03 time: 0.4193 data_time: 0.0388 memory: 4652 grad_norm: 2.8505 loss: 4.6251 loss_cls: 3.1062 loss_bbox: 1.5189 +2024/10/29 04:42:41 - mmengine - INFO - Epoch(train) [9][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:18:58 time: 0.4445 data_time: 0.0466 memory: 4652 grad_norm: 2.6075 loss: 4.4771 loss_cls: 3.0251 loss_bbox: 1.4521 +2024/10/29 04:43:02 - mmengine - INFO - Epoch(train) [9][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:18:36 time: 0.4247 data_time: 0.0387 memory: 4652 grad_norm: 2.6770 loss: 4.5622 loss_cls: 3.0749 loss_bbox: 1.4873 +2024/10/29 04:43:26 - mmengine - INFO - Epoch(train) [9][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:19:09 time: 0.4890 data_time: 0.1040 memory: 4652 grad_norm: 2.3660 loss: 4.5388 loss_cls: 3.0506 loss_bbox: 1.4882 +2024/10/29 04:43:47 - mmengine - INFO - Epoch(train) [9][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:18:43 time: 0.4202 data_time: 0.0401 memory: 4652 grad_norm: 2.7535 loss: 4.4627 loss_cls: 2.9936 loss_bbox: 1.4691 +2024/10/29 04:44:09 - mmengine - INFO - Epoch(train) [9][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:18:19 time: 0.4234 data_time: 0.0390 memory: 4652 grad_norm: 2.6286 loss: 4.5702 loss_cls: 3.0419 loss_bbox: 1.5282 +2024/10/29 04:44:30 - mmengine - INFO - Epoch(train) [9][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:18:06 time: 0.4358 data_time: 0.0399 memory: 4652 grad_norm: 2.6007 loss: 4.5013 loss_cls: 3.0045 loss_bbox: 1.4968 +2024/10/29 04:44:52 - mmengine - INFO - Epoch(train) [9][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:17:54 time: 0.4365 data_time: 0.0444 memory: 4652 grad_norm: 2.5684 loss: 4.6344 loss_cls: 3.0766 loss_bbox: 1.5578 +2024/10/29 04:45:00 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 04:45:14 - mmengine - INFO - Epoch(train) [9][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:17:36 time: 0.4298 data_time: 0.0403 memory: 4652 grad_norm: 2.6547 loss: 4.5892 loss_cls: 3.0216 loss_bbox: 1.5676 +2024/10/29 04:45:35 - mmengine - INFO - Epoch(train) [9][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:17:20 time: 0.4323 data_time: 0.0399 memory: 4652 grad_norm: 2.6017 loss: 4.5993 loss_cls: 3.0397 loss_bbox: 1.5597 +2024/10/29 04:45:57 - mmengine - INFO - Epoch(train) [9][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:17:04 time: 0.4329 data_time: 0.0398 memory: 4652 grad_norm: 2.6576 loss: 4.6003 loss_cls: 3.0659 loss_bbox: 1.5344 +2024/10/29 04:46:19 - mmengine - INFO - Epoch(train) [9][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:16:49 time: 0.4332 data_time: 0.0409 memory: 4652 grad_norm: 2.5787 loss: 4.5793 loss_cls: 3.0895 loss_bbox: 1.4897 +2024/10/29 04:46:41 - mmengine - INFO - Epoch(train) [9][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:16:39 time: 0.4396 data_time: 0.0380 memory: 4652 grad_norm: 2.5461 loss: 4.5820 loss_cls: 3.0866 loss_bbox: 1.4954 +2024/10/29 04:47:03 - mmengine - INFO - Epoch(train) [9][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:16:32 time: 0.4434 data_time: 0.0461 memory: 4652 grad_norm: 2.6763 loss: 4.5257 loss_cls: 3.0381 loss_bbox: 1.4876 +2024/10/29 04:47:26 - mmengine - INFO - Epoch(train) [9][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:16:52 time: 0.4747 data_time: 0.0900 memory: 4652 grad_norm: 2.6678 loss: 4.5702 loss_cls: 3.0568 loss_bbox: 1.5134 +2024/10/29 04:47:48 - mmengine - INFO - Epoch(train) [9][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:16:28 time: 0.4227 data_time: 0.0398 memory: 4652 grad_norm: 2.8795 loss: 4.5316 loss_cls: 2.9963 loss_bbox: 1.5353 +2024/10/29 04:48:09 - mmengine - INFO - Epoch(train) [9][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:16:12 time: 0.4328 data_time: 0.0517 memory: 4652 grad_norm: 2.6365 loss: 4.5606 loss_cls: 3.0559 loss_bbox: 1.5047 +2024/10/29 04:48:31 - mmengine - INFO - Epoch(train) [9][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:16:02 time: 0.4404 data_time: 0.0496 memory: 4652 grad_norm: 2.4502 loss: 4.5734 loss_cls: 3.0507 loss_bbox: 1.5228 +2024/10/29 04:48:53 - mmengine - INFO - Epoch(train) [9][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:15:41 time: 0.4267 data_time: 0.0431 memory: 4652 grad_norm: 2.8332 loss: 4.7092 loss_cls: 3.1502 loss_bbox: 1.5590 +2024/10/29 04:49:14 - mmengine - INFO - Epoch(train) [9][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:15:28 time: 0.4362 data_time: 0.0465 memory: 4652 grad_norm: 2.4442 loss: 4.5418 loss_cls: 3.0419 loss_bbox: 1.4999 +2024/10/29 04:49:36 - mmengine - INFO - Epoch(train) [9][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:15:05 time: 0.4248 data_time: 0.0402 memory: 4652 grad_norm: 2.5598 loss: 4.6317 loss_cls: 3.0774 loss_bbox: 1.5543 +2024/10/29 04:49:58 - mmengine - INFO - Epoch(train) [9][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:14:59 time: 0.4444 data_time: 0.0460 memory: 4652 grad_norm: 2.7408 loss: 4.4905 loss_cls: 3.0121 loss_bbox: 1.4784 +2024/10/29 04:50:20 - mmengine - INFO - Epoch(train) [9][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:14:45 time: 0.4354 data_time: 0.0423 memory: 4652 grad_norm: 2.7281 loss: 4.5034 loss_cls: 3.0014 loss_bbox: 1.5020 +2024/10/29 04:50:42 - mmengine - INFO - Epoch(train) [9][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:14:35 time: 0.4406 data_time: 0.0388 memory: 4652 grad_norm: 2.5430 loss: 4.6025 loss_cls: 3.0500 loss_bbox: 1.5525 +2024/10/29 04:51:03 - mmengine - INFO - Epoch(train) [9][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:14:17 time: 0.4297 data_time: 0.0401 memory: 4652 grad_norm: 2.6518 loss: 4.5949 loss_cls: 3.0902 loss_bbox: 1.5048 +2024/10/29 04:51:27 - mmengine - INFO - Epoch(train) [9][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:14:30 time: 0.4697 data_time: 0.0803 memory: 4652 grad_norm: 2.7377 loss: 4.5069 loss_cls: 3.0135 loss_bbox: 1.4934 +2024/10/29 04:51:48 - mmengine - INFO - Epoch(train) [9][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:14:08 time: 0.4257 data_time: 0.0388 memory: 4652 grad_norm: 2.5311 loss: 4.4619 loss_cls: 2.9942 loss_bbox: 1.4677 +2024/10/29 04:52:09 - mmengine - INFO - Epoch(train) [9][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:13:48 time: 0.4274 data_time: 0.0389 memory: 4652 grad_norm: 2.6301 loss: 4.5739 loss_cls: 3.0786 loss_bbox: 1.4953 +2024/10/29 04:52:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 04:52:31 - mmengine - INFO - Epoch(train) [9][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:13:39 time: 0.4422 data_time: 0.0404 memory: 4652 grad_norm: 2.7913 loss: 4.5975 loss_cls: 3.0676 loss_bbox: 1.5300 +2024/10/29 04:52:54 - mmengine - INFO - Epoch(train) [9][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:13:34 time: 0.4466 data_time: 0.0412 memory: 4652 grad_norm: 2.5582 loss: 4.5312 loss_cls: 3.0205 loss_bbox: 1.5106 +2024/10/29 04:53:15 - mmengine - INFO - Epoch(train) [9][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:13:15 time: 0.4295 data_time: 0.0410 memory: 4652 grad_norm: 2.6695 loss: 4.5215 loss_cls: 3.0172 loss_bbox: 1.5042 +2024/10/29 04:53:38 - mmengine - INFO - Epoch(train) [9][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:13:12 time: 0.4493 data_time: 0.0500 memory: 4652 grad_norm: 2.8145 loss: 4.5439 loss_cls: 3.0377 loss_bbox: 1.5061 +2024/10/29 04:54:00 - mmengine - INFO - Epoch(train) [9][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:13:01 time: 0.4402 data_time: 0.0407 memory: 4652 grad_norm: 2.5498 loss: 4.5083 loss_cls: 3.0242 loss_bbox: 1.4841 +2024/10/29 04:54:22 - mmengine - INFO - Epoch(train) [9][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:12:51 time: 0.4410 data_time: 0.0408 memory: 4652 grad_norm: 2.5120 loss: 4.5837 loss_cls: 3.0446 loss_bbox: 1.5391 +2024/10/29 04:54:44 - mmengine - INFO - Epoch(train) [9][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:12:38 time: 0.4368 data_time: 0.0404 memory: 4652 grad_norm: 2.6005 loss: 4.5939 loss_cls: 3.0842 loss_bbox: 1.5096 +2024/10/29 04:55:06 - mmengine - INFO - Epoch(train) [9][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:12:26 time: 0.4383 data_time: 0.0419 memory: 4652 grad_norm: 2.7097 loss: 4.5900 loss_cls: 3.0778 loss_bbox: 1.5122 +2024/10/29 04:55:27 - mmengine - INFO - Epoch(train) [9][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:12:05 time: 0.4273 data_time: 0.0398 memory: 4652 grad_norm: 2.6995 loss: 4.5259 loss_cls: 3.0227 loss_bbox: 1.5032 +2024/10/29 04:55:49 - mmengine - INFO - Epoch(train) [9][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:11:51 time: 0.4360 data_time: 0.0402 memory: 4652 grad_norm: 2.6545 loss: 4.4662 loss_cls: 3.0176 loss_bbox: 1.4486 +2024/10/29 04:55:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 04:55:50 - mmengine - INFO - Saving checkpoint at 9 epochs +2024/10/29 04:56:17 - mmengine - INFO - Epoch(train) [10][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:11:34 time: 0.4396 data_time: 0.0560 memory: 4652 grad_norm: 2.6619 loss: 4.5278 loss_cls: 3.0584 loss_bbox: 1.4693 +2024/10/29 04:56:38 - mmengine - INFO - Epoch(train) [10][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:11:07 time: 0.4196 data_time: 0.0427 memory: 4652 grad_norm: 2.6963 loss: 4.3794 loss_cls: 2.9222 loss_bbox: 1.4572 +2024/10/29 04:56:59 - mmengine - INFO - Epoch(train) [10][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:10:44 time: 0.4251 data_time: 0.0414 memory: 4652 grad_norm: 2.5557 loss: 4.5317 loss_cls: 3.0078 loss_bbox: 1.5239 +2024/10/29 04:57:19 - mmengine - INFO - Epoch(train) [10][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:10:08 time: 0.4089 data_time: 0.0400 memory: 4652 grad_norm: 2.6215 loss: 4.6347 loss_cls: 3.0833 loss_bbox: 1.5514 +2024/10/29 04:57:40 - mmengine - INFO - Epoch(train) [10][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:09:44 time: 0.4234 data_time: 0.0406 memory: 4652 grad_norm: 2.6050 loss: 4.6161 loss_cls: 3.0565 loss_bbox: 1.5596 +2024/10/29 04:58:02 - mmengine - INFO - Epoch(train) [10][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:09:22 time: 0.4253 data_time: 0.0414 memory: 4652 grad_norm: 2.6243 loss: 4.4362 loss_cls: 3.0010 loss_bbox: 1.4353 +2024/10/29 04:58:27 - mmengine - INFO - Epoch(train) [10][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:09:57 time: 0.4989 data_time: 0.1141 memory: 4652 grad_norm: 2.7057 loss: 4.5480 loss_cls: 3.0433 loss_bbox: 1.5047 +2024/10/29 04:58:47 - mmengine - INFO - Epoch(train) [10][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:09:27 time: 0.4168 data_time: 0.0408 memory: 4652 grad_norm: 2.5641 loss: 4.5840 loss_cls: 3.0416 loss_bbox: 1.5423 +2024/10/29 04:59:08 - mmengine - INFO - Epoch(train) [10][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:08:54 time: 0.4113 data_time: 0.0396 memory: 4652 grad_norm: 2.9505 loss: 4.5862 loss_cls: 3.0462 loss_bbox: 1.5400 +2024/10/29 04:59:29 - mmengine - INFO - Epoch(train) [10][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:08:26 time: 0.4178 data_time: 0.0394 memory: 4652 grad_norm: 2.6125 loss: 4.6158 loss_cls: 3.0573 loss_bbox: 1.5585 +2024/10/29 04:59:35 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 04:59:50 - mmengine - INFO - Epoch(train) [10][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:08:01 time: 0.4226 data_time: 0.0455 memory: 4652 grad_norm: 2.6022 loss: 4.5713 loss_cls: 3.0237 loss_bbox: 1.5476 +2024/10/29 05:00:11 - mmengine - INFO - Epoch(train) [10][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:07:33 time: 0.4180 data_time: 0.0426 memory: 4652 grad_norm: 2.5801 loss: 4.5634 loss_cls: 3.0441 loss_bbox: 1.5193 +2024/10/29 05:00:32 - mmengine - INFO - Epoch(train) [10][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:07:07 time: 0.4207 data_time: 0.0500 memory: 4652 grad_norm: 2.5730 loss: 4.6167 loss_cls: 3.0813 loss_bbox: 1.5353 +2024/10/29 05:00:54 - mmengine - INFO - Epoch(train) [10][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:06:48 time: 0.4304 data_time: 0.0400 memory: 4652 grad_norm: 2.7394 loss: 4.6717 loss_cls: 3.0803 loss_bbox: 1.5914 +2024/10/29 05:01:15 - mmengine - INFO - Epoch(train) [10][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:06:23 time: 0.4219 data_time: 0.0410 memory: 4652 grad_norm: 2.7919 loss: 4.4243 loss_cls: 2.9591 loss_bbox: 1.4652 +2024/10/29 05:01:36 - mmengine - INFO - Epoch(train) [10][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:06:03 time: 0.4294 data_time: 0.0462 memory: 4652 grad_norm: 2.7263 loss: 4.5740 loss_cls: 3.0534 loss_bbox: 1.5205 +2024/10/29 05:01:57 - mmengine - INFO - Epoch(train) [10][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:05:31 time: 0.4126 data_time: 0.0397 memory: 4652 grad_norm: 2.4765 loss: 4.4514 loss_cls: 2.9592 loss_bbox: 1.4922 +2024/10/29 05:02:18 - mmengine - INFO - Epoch(train) [10][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:05:01 time: 0.4155 data_time: 0.0413 memory: 4652 grad_norm: 2.5659 loss: 4.4564 loss_cls: 2.9705 loss_bbox: 1.4859 +2024/10/29 05:02:39 - mmengine - INFO - Epoch(train) [10][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:04:42 time: 0.4299 data_time: 0.0449 memory: 4652 grad_norm: 2.6912 loss: 4.5621 loss_cls: 3.0463 loss_bbox: 1.5157 +2024/10/29 05:03:00 - mmengine - INFO - Epoch(train) [10][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:04:16 time: 0.4202 data_time: 0.0463 memory: 4652 grad_norm: 2.6913 loss: 4.5033 loss_cls: 2.9962 loss_bbox: 1.5071 +2024/10/29 05:03:21 - mmengine - INFO - Epoch(train) [10][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:03:53 time: 0.4248 data_time: 0.0420 memory: 4652 grad_norm: 2.5616 loss: 4.5590 loss_cls: 3.0514 loss_bbox: 1.5076 +2024/10/29 05:03:43 - mmengine - INFO - Epoch(train) [10][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:03:31 time: 0.4252 data_time: 0.0466 memory: 4652 grad_norm: 2.6865 loss: 4.5661 loss_cls: 3.0301 loss_bbox: 1.5360 +2024/10/29 05:04:04 - mmengine - INFO - Epoch(train) [10][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:03:09 time: 0.4270 data_time: 0.0464 memory: 4652 grad_norm: 2.8515 loss: 4.5136 loss_cls: 3.0195 loss_bbox: 1.4941 +2024/10/29 05:04:25 - mmengine - INFO - Epoch(train) [10][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:02:49 time: 0.4282 data_time: 0.0514 memory: 4652 grad_norm: 2.7407 loss: 4.5202 loss_cls: 2.9999 loss_bbox: 1.5204 +2024/10/29 05:04:46 - mmengine - INFO - Epoch(train) [10][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:02:23 time: 0.4206 data_time: 0.0532 memory: 4652 grad_norm: 2.6042 loss: 4.5956 loss_cls: 3.0585 loss_bbox: 1.5370 +2024/10/29 05:05:08 - mmengine - INFO - Epoch(train) [10][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:02:04 time: 0.4300 data_time: 0.0407 memory: 4652 grad_norm: 2.7879 loss: 4.4782 loss_cls: 2.9722 loss_bbox: 1.5060 +2024/10/29 05:05:28 - mmengine - INFO - Epoch(train) [10][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:01:31 time: 0.4103 data_time: 0.0404 memory: 4652 grad_norm: 2.6502 loss: 4.5640 loss_cls: 3.0366 loss_bbox: 1.5274 +2024/10/29 05:05:49 - mmengine - INFO - Epoch(train) [10][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:01:06 time: 0.4220 data_time: 0.0406 memory: 4652 grad_norm: 2.6484 loss: 4.5211 loss_cls: 3.0049 loss_bbox: 1.5163 +2024/10/29 05:06:11 - mmengine - INFO - Epoch(train) [10][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:00:48 time: 0.4314 data_time: 0.0405 memory: 4652 grad_norm: 2.7845 loss: 4.4716 loss_cls: 2.9757 loss_bbox: 1.4960 +2024/10/29 05:06:32 - mmengine - INFO - Epoch(train) [10][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:00:27 time: 0.4272 data_time: 0.0424 memory: 4652 grad_norm: 2.5861 loss: 4.4492 loss_cls: 2.9648 loss_bbox: 1.4844 +2024/10/29 05:06:39 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 05:06:54 - mmengine - INFO - Epoch(train) [10][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 16:00:09 time: 0.4309 data_time: 0.0472 memory: 4652 grad_norm: 2.7763 loss: 4.5403 loss_cls: 3.0561 loss_bbox: 1.4842 +2024/10/29 05:07:16 - mmengine - INFO - Epoch(train) [10][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:59:50 time: 0.4312 data_time: 0.0580 memory: 4652 grad_norm: 2.6871 loss: 4.4135 loss_cls: 2.9403 loss_bbox: 1.4733 +2024/10/29 05:07:37 - mmengine - INFO - Epoch(train) [10][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:59:26 time: 0.4220 data_time: 0.0413 memory: 4652 grad_norm: 2.7386 loss: 4.5995 loss_cls: 3.1001 loss_bbox: 1.4993 +2024/10/29 05:07:57 - mmengine - INFO - Epoch(train) [10][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:58:57 time: 0.4172 data_time: 0.0437 memory: 4652 grad_norm: 2.8544 loss: 4.5202 loss_cls: 3.0337 loss_bbox: 1.4865 +2024/10/29 05:08:19 - mmengine - INFO - Epoch(train) [10][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:58:39 time: 0.4307 data_time: 0.0395 memory: 4652 grad_norm: 2.5550 loss: 4.5579 loss_cls: 3.0471 loss_bbox: 1.5108 +2024/10/29 05:08:40 - mmengine - INFO - Epoch(train) [10][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:58:08 time: 0.4137 data_time: 0.0406 memory: 4652 grad_norm: 2.6285 loss: 4.5316 loss_cls: 3.0569 loss_bbox: 1.4747 +2024/10/29 05:09:01 - mmengine - INFO - Epoch(train) [10][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:57:44 time: 0.4234 data_time: 0.0567 memory: 4652 grad_norm: 2.7232 loss: 4.5734 loss_cls: 3.0214 loss_bbox: 1.5521 +2024/10/29 05:09:23 - mmengine - INFO - Epoch(train) [10][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:57:32 time: 0.4391 data_time: 0.0464 memory: 4652 grad_norm: 2.6340 loss: 4.5016 loss_cls: 3.0096 loss_bbox: 1.4920 +2024/10/29 05:09:44 - mmengine - INFO - Epoch(train) [10][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:57:02 time: 0.4142 data_time: 0.0419 memory: 4652 grad_norm: 2.7896 loss: 4.6351 loss_cls: 3.0529 loss_bbox: 1.5822 +2024/10/29 05:10:05 - mmengine - INFO - Epoch(train) [10][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:56:40 time: 0.4260 data_time: 0.0405 memory: 4652 grad_norm: 2.6279 loss: 4.5381 loss_cls: 3.0525 loss_bbox: 1.4855 +2024/10/29 05:10:26 - mmengine - INFO - Epoch(train) [10][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:56:15 time: 0.4226 data_time: 0.0497 memory: 4652 grad_norm: 2.7665 loss: 4.6027 loss_cls: 3.0354 loss_bbox: 1.5673 +2024/10/29 05:10:46 - mmengine - INFO - Epoch(train) [10][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:55:41 time: 0.4091 data_time: 0.0404 memory: 4652 grad_norm: 2.7241 loss: 4.5422 loss_cls: 3.0298 loss_bbox: 1.5124 +2024/10/29 05:11:08 - mmengine - INFO - Epoch(train) [10][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:55:28 time: 0.4381 data_time: 0.0485 memory: 4652 grad_norm: 2.8439 loss: 4.5350 loss_cls: 3.0237 loss_bbox: 1.5114 +2024/10/29 05:11:29 - mmengine - INFO - Epoch(train) [10][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:54:56 time: 0.4107 data_time: 0.0400 memory: 4652 grad_norm: 2.7314 loss: 4.5176 loss_cls: 3.0030 loss_bbox: 1.5146 +2024/10/29 05:11:50 - mmengine - INFO - Epoch(train) [10][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:54:29 time: 0.4199 data_time: 0.0397 memory: 4652 grad_norm: 2.5641 loss: 4.5176 loss_cls: 3.0074 loss_bbox: 1.5102 +2024/10/29 05:12:11 - mmengine - INFO - Epoch(train) [10][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:54:11 time: 0.4302 data_time: 0.0416 memory: 4652 grad_norm: 2.6306 loss: 4.6991 loss_cls: 3.1113 loss_bbox: 1.5878 +2024/10/29 05:12:32 - mmengine - INFO - Epoch(train) [10][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:53:39 time: 0.4122 data_time: 0.0404 memory: 4652 grad_norm: 2.8641 loss: 4.5010 loss_cls: 3.0023 loss_bbox: 1.4987 +2024/10/29 05:12:54 - mmengine - INFO - Epoch(train) [10][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:53:22 time: 0.4326 data_time: 0.0403 memory: 4652 grad_norm: 2.5255 loss: 4.4928 loss_cls: 3.0333 loss_bbox: 1.4595 +2024/10/29 05:13:15 - mmengine - INFO - Epoch(train) [10][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:52:57 time: 0.4218 data_time: 0.0448 memory: 4652 grad_norm: 2.5788 loss: 4.5034 loss_cls: 3.0329 loss_bbox: 1.4704 +2024/10/29 05:13:36 - mmengine - INFO - Epoch(train) [10][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:52:41 time: 0.4344 data_time: 0.0418 memory: 4652 grad_norm: 2.5093 loss: 4.4651 loss_cls: 3.0151 loss_bbox: 1.4499 +2024/10/29 05:13:42 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 05:13:58 - mmengine - INFO - Epoch(train) [10][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:52:19 time: 0.4254 data_time: 0.0410 memory: 4652 grad_norm: 2.5866 loss: 4.5774 loss_cls: 3.0577 loss_bbox: 1.5197 +2024/10/29 05:14:19 - mmengine - INFO - Epoch(train) [10][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:51:50 time: 0.4156 data_time: 0.0389 memory: 4652 grad_norm: 2.5171 loss: 4.4775 loss_cls: 2.9968 loss_bbox: 1.4807 +2024/10/29 05:14:40 - mmengine - INFO - Epoch(train) [10][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:51:32 time: 0.4316 data_time: 0.0401 memory: 4652 grad_norm: 2.6669 loss: 4.5538 loss_cls: 3.0755 loss_bbox: 1.4784 +2024/10/29 05:15:01 - mmengine - INFO - Epoch(train) [10][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:51:06 time: 0.4198 data_time: 0.0409 memory: 4652 grad_norm: 2.5794 loss: 4.5779 loss_cls: 3.0485 loss_bbox: 1.5294 +2024/10/29 05:15:23 - mmengine - INFO - Epoch(train) [10][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:50:56 time: 0.4425 data_time: 0.0435 memory: 4652 grad_norm: 2.6606 loss: 4.5215 loss_cls: 3.0200 loss_bbox: 1.5016 +2024/10/29 05:15:44 - mmengine - INFO - Epoch(train) [10][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:50:31 time: 0.4217 data_time: 0.0397 memory: 4652 grad_norm: 2.8322 loss: 4.6812 loss_cls: 3.1136 loss_bbox: 1.5676 +2024/10/29 05:16:05 - mmengine - INFO - Epoch(train) [10][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:50:06 time: 0.4213 data_time: 0.0396 memory: 4652 grad_norm: 2.6315 loss: 4.5529 loss_cls: 3.0069 loss_bbox: 1.5460 +2024/10/29 05:16:26 - mmengine - INFO - Epoch(train) [10][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:49:42 time: 0.4220 data_time: 0.0402 memory: 4652 grad_norm: 2.7274 loss: 4.4904 loss_cls: 3.0174 loss_bbox: 1.4730 +2024/10/29 05:16:47 - mmengine - INFO - Epoch(train) [10][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:49:14 time: 0.4176 data_time: 0.0367 memory: 4652 grad_norm: 2.7494 loss: 4.4302 loss_cls: 2.9742 loss_bbox: 1.4560 +2024/10/29 05:17:09 - mmengine - INFO - Epoch(train) [10][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:49:00 time: 0.4367 data_time: 0.0500 memory: 4652 grad_norm: 2.8710 loss: 4.5366 loss_cls: 3.0218 loss_bbox: 1.5147 +2024/10/29 05:17:30 - mmengine - INFO - Epoch(train) [10][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:48:30 time: 0.4151 data_time: 0.0392 memory: 4652 grad_norm: 2.5391 loss: 4.5470 loss_cls: 3.0189 loss_bbox: 1.5281 +2024/10/29 05:17:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 05:17:32 - mmengine - INFO - Saving checkpoint at 10 epochs +2024/10/29 05:17:40 - mmengine - INFO - Epoch(val) [10][50/79] eta: 0:00:02 time: 0.0733 data_time: 0.0077 memory: 4652 +2024/10/29 05:17:57 - mmengine - INFO - Evaluating bbox... +2024/10/29 05:19:14 - mmengine - INFO - bbox_mAP_copypaste: 0.179 0.322 0.178 0.047 0.216 0.283 +2024/10/29 05:19:15 - mmengine - INFO - Epoch(val) [10][79/79] coco/bbox_mAP: 0.1790 coco/bbox_mAP_50: 0.3220 coco/bbox_mAP_75: 0.1780 coco/bbox_mAP_s: 0.0470 coco/bbox_mAP_m: 0.2160 coco/bbox_mAP_l: 0.2830 data_time: 0.0072 time: 0.0924 +2024/10/29 05:19:38 - mmengine - INFO - Epoch(train) [11][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:48:24 time: 0.4531 data_time: 0.0618 memory: 4652 grad_norm: 2.9813 loss: 4.5349 loss_cls: 3.0248 loss_bbox: 1.5101 +2024/10/29 05:19:58 - mmengine - INFO - Epoch(train) [11][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:47:50 time: 0.4091 data_time: 0.0400 memory: 4652 grad_norm: 2.6421 loss: 4.4335 loss_cls: 2.9649 loss_bbox: 1.4686 +2024/10/29 05:20:19 - mmengine - INFO - Epoch(train) [11][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:47:18 time: 0.4100 data_time: 0.0408 memory: 4652 grad_norm: 2.7063 loss: 4.4277 loss_cls: 2.9787 loss_bbox: 1.4491 +2024/10/29 05:20:39 - mmengine - INFO - Epoch(train) [11][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:46:48 time: 0.4141 data_time: 0.0377 memory: 4652 grad_norm: 2.7467 loss: 4.4937 loss_cls: 3.0147 loss_bbox: 1.4790 +2024/10/29 05:21:00 - mmengine - INFO - Epoch(train) [11][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:46:14 time: 0.4084 data_time: 0.0388 memory: 4652 grad_norm: 2.6555 loss: 4.4611 loss_cls: 2.9630 loss_bbox: 1.4981 +2024/10/29 05:21:21 - mmengine - INFO - Epoch(train) [11][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:45:47 time: 0.4180 data_time: 0.0385 memory: 4652 grad_norm: 2.6788 loss: 4.5536 loss_cls: 3.0580 loss_bbox: 1.4956 +2024/10/29 05:21:41 - mmengine - INFO - Epoch(train) [11][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:45:14 time: 0.4098 data_time: 0.0402 memory: 4652 grad_norm: 2.6693 loss: 4.4256 loss_cls: 2.9812 loss_bbox: 1.4443 +2024/10/29 05:22:01 - mmengine - INFO - Epoch(train) [11][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:44:40 time: 0.4064 data_time: 0.0395 memory: 4652 grad_norm: 2.7021 loss: 4.5246 loss_cls: 2.9773 loss_bbox: 1.5472 +2024/10/29 05:22:26 - mmengine - INFO - Epoch(train) [11][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:44:58 time: 0.4859 data_time: 0.1152 memory: 4652 grad_norm: 2.8978 loss: 4.5608 loss_cls: 3.0783 loss_bbox: 1.4825 +2024/10/29 05:22:30 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 05:22:46 - mmengine - INFO - Epoch(train) [11][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:44:23 time: 0.4057 data_time: 0.0385 memory: 4652 grad_norm: 2.7123 loss: 4.5308 loss_cls: 3.0119 loss_bbox: 1.5189 +2024/10/29 05:23:06 - mmengine - INFO - Epoch(train) [11][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:43:50 time: 0.4092 data_time: 0.0402 memory: 4652 grad_norm: 2.5040 loss: 4.4770 loss_cls: 2.9611 loss_bbox: 1.5159 +2024/10/29 05:23:26 - mmengine - INFO - Epoch(train) [11][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:43:09 time: 0.3969 data_time: 0.0467 memory: 4652 grad_norm: 2.6585 loss: 4.5343 loss_cls: 3.0136 loss_bbox: 1.5206 +2024/10/29 05:23:47 - mmengine - INFO - Epoch(train) [11][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:42:34 time: 0.4063 data_time: 0.0447 memory: 4652 grad_norm: 2.5892 loss: 4.6026 loss_cls: 3.1010 loss_bbox: 1.5016 +2024/10/29 05:24:07 - mmengine - INFO - Epoch(train) [11][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:42:00 time: 0.4065 data_time: 0.0375 memory: 4652 grad_norm: 2.6621 loss: 4.5633 loss_cls: 3.0327 loss_bbox: 1.5306 +2024/10/29 05:24:27 - mmengine - INFO - Epoch(train) [11][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:41:25 time: 0.4069 data_time: 0.0364 memory: 4652 grad_norm: 2.7326 loss: 4.4589 loss_cls: 3.0098 loss_bbox: 1.4491 +2024/10/29 05:24:47 - mmengine - INFO - Epoch(train) [11][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:40:47 time: 0.4007 data_time: 0.0459 memory: 4652 grad_norm: 2.8091 loss: 4.4953 loss_cls: 3.0081 loss_bbox: 1.4872 +2024/10/29 05:25:07 - mmengine - INFO - Epoch(train) [11][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:40:06 time: 0.3968 data_time: 0.0382 memory: 4652 grad_norm: 2.5385 loss: 4.5581 loss_cls: 3.0073 loss_bbox: 1.5508 +2024/10/29 05:25:28 - mmengine - INFO - Epoch(train) [11][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:39:39 time: 0.4168 data_time: 0.0384 memory: 4652 grad_norm: 2.7093 loss: 4.5855 loss_cls: 3.0120 loss_bbox: 1.5735 +2024/10/29 05:25:48 - mmengine - INFO - Epoch(train) [11][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:38:59 time: 0.3979 data_time: 0.0492 memory: 4652 grad_norm: 2.7769 loss: 4.5081 loss_cls: 3.0352 loss_bbox: 1.4729 +2024/10/29 05:26:08 - mmengine - INFO - Epoch(train) [11][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:38:24 time: 0.4058 data_time: 0.0363 memory: 4652 grad_norm: 2.6603 loss: 4.5733 loss_cls: 3.0727 loss_bbox: 1.5006 +2024/10/29 05:26:28 - mmengine - INFO - Epoch(train) [11][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:37:49 time: 0.4049 data_time: 0.0454 memory: 4652 grad_norm: 2.6271 loss: 4.5661 loss_cls: 3.0694 loss_bbox: 1.4967 +2024/10/29 05:26:48 - mmengine - INFO - Epoch(train) [11][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:37:10 time: 0.3986 data_time: 0.0391 memory: 4652 grad_norm: 2.9146 loss: 4.5217 loss_cls: 3.0129 loss_bbox: 1.5087 +2024/10/29 05:27:09 - mmengine - INFO - Epoch(train) [11][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:36:33 time: 0.4026 data_time: 0.0430 memory: 4652 grad_norm: 2.6844 loss: 4.6059 loss_cls: 3.0708 loss_bbox: 1.5351 +2024/10/29 05:27:28 - mmengine - INFO - Epoch(train) [11][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:35:53 time: 0.3971 data_time: 0.0402 memory: 4652 grad_norm: 2.7293 loss: 4.4729 loss_cls: 3.0365 loss_bbox: 1.4364 +2024/10/29 05:27:49 - mmengine - INFO - Epoch(train) [11][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:35:25 time: 0.4156 data_time: 0.0477 memory: 4652 grad_norm: 2.6117 loss: 4.4631 loss_cls: 3.0026 loss_bbox: 1.4605 +2024/10/29 05:28:10 - mmengine - INFO - Epoch(train) [11][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:35:02 time: 0.4237 data_time: 0.0564 memory: 4652 grad_norm: 2.5178 loss: 4.5814 loss_cls: 3.0718 loss_bbox: 1.5096 +2024/10/29 05:28:31 - mmengine - INFO - Epoch(train) [11][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:34:29 time: 0.4065 data_time: 0.0479 memory: 4652 grad_norm: 2.5485 loss: 4.5517 loss_cls: 3.0375 loss_bbox: 1.5142 +2024/10/29 05:28:52 - mmengine - INFO - Epoch(train) [11][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:34:04 time: 0.4204 data_time: 0.0419 memory: 4652 grad_norm: 2.6632 loss: 4.5921 loss_cls: 3.0840 loss_bbox: 1.5081 +2024/10/29 05:29:11 - mmengine - INFO - Epoch(train) [11][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:33:20 time: 0.3912 data_time: 0.0470 memory: 4652 grad_norm: 2.7567 loss: 4.5893 loss_cls: 3.0504 loss_bbox: 1.5388 +2024/10/29 05:29:15 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 05:29:32 - mmengine - INFO - Epoch(train) [11][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:32:47 time: 0.4074 data_time: 0.0415 memory: 4652 grad_norm: 2.8403 loss: 4.4775 loss_cls: 3.0174 loss_bbox: 1.4601 +2024/10/29 05:29:52 - mmengine - INFO - Epoch(train) [11][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:32:14 time: 0.4078 data_time: 0.0473 memory: 4652 grad_norm: 2.6146 loss: 4.5115 loss_cls: 3.0088 loss_bbox: 1.5026 +2024/10/29 05:30:12 - mmengine - INFO - Epoch(train) [11][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:31:38 time: 0.4026 data_time: 0.0423 memory: 4652 grad_norm: 2.7354 loss: 4.5044 loss_cls: 3.0400 loss_bbox: 1.4644 +2024/10/29 05:30:32 - mmengine - INFO - Epoch(train) [11][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:31:03 time: 0.4034 data_time: 0.0392 memory: 4652 grad_norm: 2.5259 loss: 4.5222 loss_cls: 2.9957 loss_bbox: 1.5266 +2024/10/29 05:30:52 - mmengine - INFO - Epoch(train) [11][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:30:18 time: 0.3884 data_time: 0.0394 memory: 4652 grad_norm: 2.9452 loss: 4.5085 loss_cls: 3.0076 loss_bbox: 1.5009 +2024/10/29 05:31:13 - mmengine - INFO - Epoch(train) [11][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:29:50 time: 0.4149 data_time: 0.0413 memory: 4652 grad_norm: 2.6947 loss: 4.5910 loss_cls: 3.0509 loss_bbox: 1.5400 +2024/10/29 05:31:32 - mmengine - INFO - Epoch(train) [11][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:29:10 time: 0.3960 data_time: 0.0448 memory: 4652 grad_norm: 2.7102 loss: 4.6099 loss_cls: 3.0709 loss_bbox: 1.5390 +2024/10/29 05:31:52 - mmengine - INFO - Epoch(train) [11][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:28:31 time: 0.3986 data_time: 0.0464 memory: 4652 grad_norm: 2.8778 loss: 4.3970 loss_cls: 2.9630 loss_bbox: 1.4340 +2024/10/29 05:32:13 - mmengine - INFO - Epoch(train) [11][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:28:00 time: 0.4100 data_time: 0.0476 memory: 4652 grad_norm: 2.6810 loss: 4.5342 loss_cls: 3.0232 loss_bbox: 1.5110 +2024/10/29 05:32:32 - mmengine - INFO - Epoch(train) [11][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:27:19 time: 0.3943 data_time: 0.0414 memory: 4652 grad_norm: 2.6812 loss: 4.5382 loss_cls: 3.0352 loss_bbox: 1.5029 +2024/10/29 05:32:53 - mmengine - INFO - Epoch(train) [11][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:26:49 time: 0.4105 data_time: 0.0411 memory: 4652 grad_norm: 2.7866 loss: 4.5071 loss_cls: 3.0182 loss_bbox: 1.4889 +2024/10/29 05:33:13 - mmengine - INFO - Epoch(train) [11][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:26:10 time: 0.3978 data_time: 0.0418 memory: 4652 grad_norm: 2.5990 loss: 4.4648 loss_cls: 3.0211 loss_bbox: 1.4436 +2024/10/29 05:33:33 - mmengine - INFO - Epoch(train) [11][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:25:29 time: 0.3932 data_time: 0.0420 memory: 4652 grad_norm: 3.0031 loss: 4.4741 loss_cls: 3.0207 loss_bbox: 1.4534 +2024/10/29 05:33:54 - mmengine - INFO - Epoch(train) [11][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:25:10 time: 0.4289 data_time: 0.0467 memory: 4652 grad_norm: 2.9099 loss: 4.5679 loss_cls: 3.0526 loss_bbox: 1.5152 +2024/10/29 05:34:14 - mmengine - INFO - Epoch(train) [11][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:24:33 time: 0.4008 data_time: 0.0402 memory: 4652 grad_norm: 2.7013 loss: 4.5561 loss_cls: 3.0656 loss_bbox: 1.4905 +2024/10/29 05:34:36 - mmengine - INFO - Epoch(train) [11][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:24:16 time: 0.4311 data_time: 0.0427 memory: 4652 grad_norm: 2.6215 loss: 4.5411 loss_cls: 3.0007 loss_bbox: 1.5404 +2024/10/29 05:34:56 - mmengine - INFO - Epoch(train) [11][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:23:42 time: 0.4045 data_time: 0.0413 memory: 4652 grad_norm: 2.8564 loss: 4.5767 loss_cls: 3.0443 loss_bbox: 1.5324 +2024/10/29 05:35:16 - mmengine - INFO - Epoch(train) [11][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:23:08 time: 0.4059 data_time: 0.0417 memory: 4652 grad_norm: 2.7691 loss: 4.5533 loss_cls: 3.0308 loss_bbox: 1.5225 +2024/10/29 05:35:38 - mmengine - INFO - Epoch(train) [11][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:22:52 time: 0.4334 data_time: 0.0470 memory: 4652 grad_norm: 2.7700 loss: 4.4824 loss_cls: 3.0054 loss_bbox: 1.4770 +2024/10/29 05:35:58 - mmengine - INFO - Epoch(train) [11][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:22:20 time: 0.4067 data_time: 0.0448 memory: 4652 grad_norm: 2.6248 loss: 4.5185 loss_cls: 3.0108 loss_bbox: 1.5078 +2024/10/29 05:36:02 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 05:36:20 - mmengine - INFO - Epoch(train) [11][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:22:02 time: 0.4307 data_time: 0.0407 memory: 4652 grad_norm: 2.7042 loss: 4.4583 loss_cls: 2.9823 loss_bbox: 1.4760 +2024/10/29 05:36:41 - mmengine - INFO - Epoch(train) [11][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:21:36 time: 0.4172 data_time: 0.0466 memory: 4652 grad_norm: 2.5043 loss: 4.5250 loss_cls: 3.0230 loss_bbox: 1.5020 +2024/10/29 05:37:02 - mmengine - INFO - Epoch(train) [11][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:21:12 time: 0.4208 data_time: 0.0412 memory: 4652 grad_norm: 2.7278 loss: 4.5509 loss_cls: 3.0039 loss_bbox: 1.5471 +2024/10/29 05:37:23 - mmengine - INFO - Epoch(train) [11][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:20:49 time: 0.4216 data_time: 0.0443 memory: 4652 grad_norm: 2.7420 loss: 4.3912 loss_cls: 2.9591 loss_bbox: 1.4321 +2024/10/29 05:37:43 - mmengine - INFO - Epoch(train) [11][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:20:10 time: 0.3966 data_time: 0.0383 memory: 4652 grad_norm: 2.6329 loss: 4.5768 loss_cls: 3.0597 loss_bbox: 1.5171 +2024/10/29 05:38:04 - mmengine - INFO - Epoch(train) [11][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:19:52 time: 0.4306 data_time: 0.0397 memory: 4652 grad_norm: 2.8503 loss: 4.5383 loss_cls: 3.0220 loss_bbox: 1.5162 +2024/10/29 05:38:25 - mmengine - INFO - Epoch(train) [11][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:19:33 time: 0.4288 data_time: 0.0584 memory: 4652 grad_norm: 2.4859 loss: 4.5503 loss_cls: 3.0395 loss_bbox: 1.5108 +2024/10/29 05:38:46 - mmengine - INFO - Epoch(train) [11][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:19:01 time: 0.4073 data_time: 0.0375 memory: 4652 grad_norm: 2.6807 loss: 4.5923 loss_cls: 3.0727 loss_bbox: 1.5196 +2024/10/29 05:39:07 - mmengine - INFO - Epoch(train) [11][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:18:41 time: 0.4260 data_time: 0.0515 memory: 4652 grad_norm: 2.6694 loss: 4.5136 loss_cls: 3.0559 loss_bbox: 1.4577 +2024/10/29 05:39:27 - mmengine - INFO - Epoch(train) [11][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:18:04 time: 0.3992 data_time: 0.0381 memory: 4652 grad_norm: 2.6501 loss: 4.4912 loss_cls: 3.0006 loss_bbox: 1.4906 +2024/10/29 05:39:48 - mmengine - INFO - Epoch(train) [11][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:17:43 time: 0.4263 data_time: 0.0450 memory: 4652 grad_norm: 3.0243 loss: 4.5941 loss_cls: 3.0459 loss_bbox: 1.5482 +2024/10/29 05:40:09 - mmengine - INFO - Epoch(train) [11][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:17:11 time: 0.4065 data_time: 0.0392 memory: 4652 grad_norm: 2.7247 loss: 4.5296 loss_cls: 3.0219 loss_bbox: 1.5077 +2024/10/29 05:40:10 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 05:40:10 - mmengine - INFO - Saving checkpoint at 11 epochs +2024/10/29 05:40:36 - mmengine - INFO - Epoch(train) [12][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:16:50 time: 0.4340 data_time: 0.0539 memory: 4652 grad_norm: 2.8455 loss: 4.4929 loss_cls: 2.9948 loss_bbox: 1.4981 +2024/10/29 05:40:58 - mmengine - INFO - Epoch(train) [12][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:16:31 time: 0.4288 data_time: 0.0482 memory: 4652 grad_norm: 2.7449 loss: 4.4603 loss_cls: 2.9899 loss_bbox: 1.4704 +2024/10/29 05:41:19 - mmengine - INFO - Epoch(train) [12][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:16:05 time: 0.4171 data_time: 0.0377 memory: 4652 grad_norm: 2.7643 loss: 4.5301 loss_cls: 3.0218 loss_bbox: 1.5083 +2024/10/29 05:41:40 - mmengine - INFO - Epoch(train) [12][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:15:50 time: 0.4348 data_time: 0.0419 memory: 4652 grad_norm: 2.5420 loss: 4.5397 loss_cls: 3.0464 loss_bbox: 1.4932 +2024/10/29 05:42:01 - mmengine - INFO - Epoch(train) [12][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:15:26 time: 0.4197 data_time: 0.0369 memory: 4652 grad_norm: 2.6042 loss: 4.5919 loss_cls: 3.0941 loss_bbox: 1.4978 +2024/10/29 05:42:28 - mmengine - INFO - Epoch(train) [12][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:16:04 time: 0.5249 data_time: 0.1295 memory: 4652 grad_norm: 2.6970 loss: 4.4645 loss_cls: 3.0054 loss_bbox: 1.4591 +2024/10/29 05:42:49 - mmengine - INFO - Epoch(train) [12][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:15:41 time: 0.4217 data_time: 0.0469 memory: 4652 grad_norm: 2.8215 loss: 4.4212 loss_cls: 2.9729 loss_bbox: 1.4482 +2024/10/29 05:43:11 - mmengine - INFO - Epoch(train) [12][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:15:29 time: 0.4403 data_time: 0.0378 memory: 4652 grad_norm: 2.6968 loss: 4.4930 loss_cls: 3.0182 loss_bbox: 1.4748 +2024/10/29 05:43:13 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 05:43:33 - mmengine - INFO - Epoch(train) [12][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:15:14 time: 0.4355 data_time: 0.0369 memory: 4652 grad_norm: 2.8267 loss: 4.4690 loss_cls: 2.9851 loss_bbox: 1.4839 +2024/10/29 05:43:54 - mmengine - INFO - Epoch(train) [12][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:14:51 time: 0.4222 data_time: 0.0381 memory: 4652 grad_norm: 2.6449 loss: 4.4834 loss_cls: 2.9676 loss_bbox: 1.5158 +2024/10/29 05:44:15 - mmengine - INFO - Epoch(train) [12][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:14:36 time: 0.4363 data_time: 0.0391 memory: 4652 grad_norm: 2.7212 loss: 4.4256 loss_cls: 2.9979 loss_bbox: 1.4276 +2024/10/29 05:44:37 - mmengine - INFO - Epoch(train) [12][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:14:23 time: 0.4379 data_time: 0.0456 memory: 4652 grad_norm: 2.6065 loss: 4.5581 loss_cls: 3.0381 loss_bbox: 1.5200 +2024/10/29 05:44:58 - mmengine - INFO - Epoch(train) [12][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:13:58 time: 0.4197 data_time: 0.0411 memory: 4652 grad_norm: 2.6517 loss: 4.4862 loss_cls: 2.9662 loss_bbox: 1.5200 +2024/10/29 05:45:20 - mmengine - INFO - Epoch(train) [12][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:13:44 time: 0.4370 data_time: 0.0435 memory: 4652 grad_norm: 2.8635 loss: 4.5124 loss_cls: 2.9995 loss_bbox: 1.5129 +2024/10/29 05:45:41 - mmengine - INFO - Epoch(train) [12][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:13:21 time: 0.4218 data_time: 0.0371 memory: 4652 grad_norm: 2.9541 loss: 4.5328 loss_cls: 2.9938 loss_bbox: 1.5390 +2024/10/29 05:46:03 - mmengine - INFO - Epoch(train) [12][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:13:08 time: 0.4398 data_time: 0.0394 memory: 4652 grad_norm: 2.7694 loss: 4.5800 loss_cls: 3.0362 loss_bbox: 1.5439 +2024/10/29 05:46:28 - mmengine - INFO - Epoch(train) [12][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:13:22 time: 0.4856 data_time: 0.0871 memory: 4652 grad_norm: 2.4627 loss: 4.4843 loss_cls: 2.9961 loss_bbox: 1.4882 +2024/10/29 05:46:49 - mmengine - INFO - Epoch(train) [12][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:13:00 time: 0.4237 data_time: 0.0368 memory: 4652 grad_norm: 2.7305 loss: 4.6267 loss_cls: 3.0813 loss_bbox: 1.5454 +2024/10/29 05:47:11 - mmengine - INFO - Epoch(train) [12][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:12:45 time: 0.4357 data_time: 0.0411 memory: 4652 grad_norm: 3.0015 loss: 4.4859 loss_cls: 3.0008 loss_bbox: 1.4851 +2024/10/29 05:47:32 - mmengine - INFO - Epoch(train) [12][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:12:28 time: 0.4328 data_time: 0.0368 memory: 4652 grad_norm: 2.7156 loss: 4.5099 loss_cls: 3.0141 loss_bbox: 1.4958 +2024/10/29 05:47:54 - mmengine - INFO - Epoch(train) [12][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:12:12 time: 0.4353 data_time: 0.0451 memory: 4652 grad_norm: 2.6288 loss: 4.5320 loss_cls: 2.9953 loss_bbox: 1.5367 +2024/10/29 05:48:16 - mmengine - INFO - Epoch(train) [12][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:11:57 time: 0.4354 data_time: 0.0402 memory: 4652 grad_norm: 2.7539 loss: 4.5111 loss_cls: 3.0151 loss_bbox: 1.4961 +2024/10/29 05:48:37 - mmengine - INFO - Epoch(train) [12][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:11:35 time: 0.4246 data_time: 0.0382 memory: 4652 grad_norm: 2.8020 loss: 4.4419 loss_cls: 3.0044 loss_bbox: 1.4375 +2024/10/29 05:48:59 - mmengine - INFO - Epoch(train) [12][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:11:22 time: 0.4384 data_time: 0.0435 memory: 4652 grad_norm: 2.6224 loss: 4.5490 loss_cls: 3.0306 loss_bbox: 1.5184 +2024/10/29 05:49:21 - mmengine - INFO - Epoch(train) [12][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:11:04 time: 0.4322 data_time: 0.0417 memory: 4652 grad_norm: 2.7202 loss: 4.5569 loss_cls: 3.0383 loss_bbox: 1.5186 +2024/10/29 05:49:42 - mmengine - INFO - Epoch(train) [12][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:10:50 time: 0.4379 data_time: 0.0500 memory: 4652 grad_norm: 2.7680 loss: 4.4692 loss_cls: 3.0042 loss_bbox: 1.4650 +2024/10/29 05:50:04 - mmengine - INFO - Epoch(train) [12][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:10:34 time: 0.4334 data_time: 0.0390 memory: 4652 grad_norm: 2.7511 loss: 4.5643 loss_cls: 3.0247 loss_bbox: 1.5396 +2024/10/29 05:50:27 - mmengine - INFO - Epoch(train) [12][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:10:31 time: 0.4574 data_time: 0.0685 memory: 4652 grad_norm: 2.7275 loss: 4.5024 loss_cls: 3.0035 loss_bbox: 1.4989 +2024/10/29 05:50:30 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 05:50:48 - mmengine - INFO - Epoch(train) [12][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:10:11 time: 0.4279 data_time: 0.0432 memory: 4652 grad_norm: 2.6858 loss: 4.6171 loss_cls: 3.0702 loss_bbox: 1.5469 +2024/10/29 05:51:10 - mmengine - INFO - Epoch(train) [12][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:09:58 time: 0.4410 data_time: 0.0390 memory: 4652 grad_norm: 2.8204 loss: 4.5818 loss_cls: 3.0178 loss_bbox: 1.5640 +2024/10/29 05:51:33 - mmengine - INFO - Epoch(train) [12][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:09:47 time: 0.4429 data_time: 0.0427 memory: 4652 grad_norm: 2.6381 loss: 4.5529 loss_cls: 3.0557 loss_bbox: 1.4973 +2024/10/29 05:51:55 - mmengine - INFO - Epoch(train) [12][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:09:37 time: 0.4448 data_time: 0.0378 memory: 4652 grad_norm: 2.5784 loss: 4.5804 loss_cls: 3.0408 loss_bbox: 1.5396 +2024/10/29 05:52:16 - mmengine - INFO - Epoch(train) [12][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:09:17 time: 0.4285 data_time: 0.0371 memory: 4652 grad_norm: 3.0805 loss: 4.5967 loss_cls: 3.0917 loss_bbox: 1.5050 +2024/10/29 05:52:38 - mmengine - INFO - Epoch(train) [12][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:08:57 time: 0.4279 data_time: 0.0376 memory: 4652 grad_norm: 2.7105 loss: 4.4785 loss_cls: 2.9558 loss_bbox: 1.5227 +2024/10/29 05:52:59 - mmengine - INFO - Epoch(train) [12][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:08:42 time: 0.4356 data_time: 0.0374 memory: 4652 grad_norm: 2.6010 loss: 4.5332 loss_cls: 3.0121 loss_bbox: 1.5211 +2024/10/29 05:53:21 - mmengine - INFO - Epoch(train) [12][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:08:29 time: 0.4411 data_time: 0.0436 memory: 4652 grad_norm: 2.7628 loss: 4.5506 loss_cls: 3.0241 loss_bbox: 1.5264 +2024/10/29 05:53:43 - mmengine - INFO - Epoch(train) [12][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:08:11 time: 0.4318 data_time: 0.0436 memory: 4652 grad_norm: 2.7838 loss: 4.5019 loss_cls: 3.0134 loss_bbox: 1.4884 +2024/10/29 05:54:05 - mmengine - INFO - Epoch(train) [12][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:07:57 time: 0.4371 data_time: 0.0395 memory: 4652 grad_norm: 2.7549 loss: 4.3856 loss_cls: 2.9512 loss_bbox: 1.4344 +2024/10/29 05:54:28 - mmengine - INFO - Epoch(train) [12][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:07:55 time: 0.4609 data_time: 0.0654 memory: 4652 grad_norm: 2.7055 loss: 4.6459 loss_cls: 3.0932 loss_bbox: 1.5527 +2024/10/29 05:54:49 - mmengine - INFO - Epoch(train) [12][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:07:35 time: 0.4286 data_time: 0.0393 memory: 4652 grad_norm: 2.6788 loss: 4.5285 loss_cls: 3.0465 loss_bbox: 1.4820 +2024/10/29 05:55:12 - mmengine - INFO - Epoch(train) [12][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:07:27 time: 0.4484 data_time: 0.0386 memory: 4652 grad_norm: 2.6199 loss: 4.6202 loss_cls: 3.0579 loss_bbox: 1.5623 +2024/10/29 05:55:33 - mmengine - INFO - Epoch(train) [12][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:07:08 time: 0.4292 data_time: 0.0404 memory: 4652 grad_norm: 2.6979 loss: 4.5152 loss_cls: 2.9872 loss_bbox: 1.5280 +2024/10/29 05:55:55 - mmengine - INFO - Epoch(train) [12][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:06:52 time: 0.4354 data_time: 0.0504 memory: 4652 grad_norm: 2.7595 loss: 4.4645 loss_cls: 3.0027 loss_bbox: 1.4618 +2024/10/29 05:56:17 - mmengine - INFO - Epoch(train) [12][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:06:41 time: 0.4442 data_time: 0.0406 memory: 4652 grad_norm: 2.7025 loss: 4.4103 loss_cls: 2.9585 loss_bbox: 1.4518 +2024/10/29 05:56:39 - mmengine - INFO - Epoch(train) [12][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:06:21 time: 0.4292 data_time: 0.0388 memory: 4652 grad_norm: 2.8586 loss: 4.5235 loss_cls: 3.0189 loss_bbox: 1.5046 +2024/10/29 05:57:01 - mmengine - INFO - Epoch(train) [12][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:06:08 time: 0.4402 data_time: 0.0453 memory: 4652 grad_norm: 2.5472 loss: 4.5542 loss_cls: 3.0192 loss_bbox: 1.5350 +2024/10/29 05:57:22 - mmengine - INFO - Epoch(train) [12][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:05:44 time: 0.4210 data_time: 0.0388 memory: 4652 grad_norm: 2.7101 loss: 4.4698 loss_cls: 2.9867 loss_bbox: 1.4831 +2024/10/29 05:57:44 - mmengine - INFO - Epoch(train) [12][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:05:32 time: 0.4425 data_time: 0.0396 memory: 4652 grad_norm: 2.7728 loss: 4.5730 loss_cls: 3.0351 loss_bbox: 1.5379 +2024/10/29 05:57:47 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 05:58:06 - mmengine - INFO - Epoch(train) [12][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:05:15 time: 0.4328 data_time: 0.0427 memory: 4652 grad_norm: 2.8908 loss: 4.5159 loss_cls: 3.0454 loss_bbox: 1.4705 +2024/10/29 05:58:27 - mmengine - INFO - Epoch(train) [12][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:05:00 time: 0.4373 data_time: 0.0386 memory: 4652 grad_norm: 2.8002 loss: 4.6652 loss_cls: 3.1067 loss_bbox: 1.5585 +2024/10/29 05:58:49 - mmengine - INFO - Epoch(train) [12][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:04:46 time: 0.4405 data_time: 0.0442 memory: 4652 grad_norm: 2.6263 loss: 4.5490 loss_cls: 3.0383 loss_bbox: 1.5107 +2024/10/29 05:59:11 - mmengine - INFO - Epoch(train) [12][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:04:27 time: 0.4300 data_time: 0.0402 memory: 4652 grad_norm: 2.6031 loss: 4.5310 loss_cls: 2.9914 loss_bbox: 1.5396 +2024/10/29 05:59:33 - mmengine - INFO - Epoch(train) [12][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:04:10 time: 0.4331 data_time: 0.0397 memory: 4652 grad_norm: 2.5284 loss: 4.4420 loss_cls: 2.9900 loss_bbox: 1.4520 +2024/10/29 05:59:54 - mmengine - INFO - Epoch(train) [12][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:03:51 time: 0.4308 data_time: 0.0403 memory: 4652 grad_norm: 2.8346 loss: 4.6048 loss_cls: 3.0438 loss_bbox: 1.5610 +2024/10/29 06:00:16 - mmengine - INFO - Epoch(train) [12][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:03:37 time: 0.4391 data_time: 0.0440 memory: 4652 grad_norm: 2.7176 loss: 4.5000 loss_cls: 2.9822 loss_bbox: 1.5178 +2024/10/29 06:00:38 - mmengine - INFO - Epoch(train) [12][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:03:25 time: 0.4427 data_time: 0.0389 memory: 4652 grad_norm: 2.7137 loss: 4.5507 loss_cls: 3.0478 loss_bbox: 1.5029 +2024/10/29 06:01:00 - mmengine - INFO - Epoch(train) [12][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:03:07 time: 0.4319 data_time: 0.0385 memory: 4652 grad_norm: 2.6822 loss: 4.5011 loss_cls: 3.0024 loss_bbox: 1.4988 +2024/10/29 06:01:23 - mmengine - INFO - Epoch(train) [12][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:03:01 time: 0.4539 data_time: 0.0457 memory: 4652 grad_norm: 2.7518 loss: 4.6226 loss_cls: 3.0908 loss_bbox: 1.5318 +2024/10/29 06:01:44 - mmengine - INFO - Epoch(train) [12][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:02:41 time: 0.4295 data_time: 0.0390 memory: 4652 grad_norm: 2.6400 loss: 4.5980 loss_cls: 3.0703 loss_bbox: 1.5277 +2024/10/29 06:02:05 - mmengine - INFO - Epoch(train) [12][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:02:19 time: 0.4245 data_time: 0.0386 memory: 4652 grad_norm: 2.7859 loss: 4.4305 loss_cls: 2.9938 loss_bbox: 1.4366 +2024/10/29 06:02:27 - mmengine - INFO - Epoch(train) [12][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:02:01 time: 0.4318 data_time: 0.0480 memory: 4652 grad_norm: 2.5352 loss: 4.5366 loss_cls: 2.9980 loss_bbox: 1.5386 +2024/10/29 06:02:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 06:02:29 - mmengine - INFO - Saving checkpoint at 12 epochs +2024/10/29 06:02:54 - mmengine - INFO - Epoch(train) [13][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:01:39 time: 0.4286 data_time: 0.0573 memory: 4652 grad_norm: 2.6263 loss: 4.5102 loss_cls: 3.0014 loss_bbox: 1.5088 +2024/10/29 06:03:15 - mmengine - INFO - Epoch(train) [13][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:01:10 time: 0.4117 data_time: 0.0404 memory: 4652 grad_norm: 2.6189 loss: 4.4661 loss_cls: 2.9882 loss_bbox: 1.4778 +2024/10/29 06:03:36 - mmengine - INFO - Epoch(train) [13][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:00:41 time: 0.4120 data_time: 0.0398 memory: 4652 grad_norm: 2.6947 loss: 4.5099 loss_cls: 3.0023 loss_bbox: 1.5076 +2024/10/29 06:03:56 - mmengine - INFO - Epoch(train) [13][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 15:00:11 time: 0.4105 data_time: 0.0464 memory: 4652 grad_norm: 2.6219 loss: 4.4427 loss_cls: 2.9913 loss_bbox: 1.4514 +2024/10/29 06:04:16 - mmengine - INFO - Epoch(train) [13][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:59:37 time: 0.4019 data_time: 0.0388 memory: 4652 grad_norm: 2.8015 loss: 4.4509 loss_cls: 2.9761 loss_bbox: 1.4748 +2024/10/29 06:04:37 - mmengine - INFO - Epoch(train) [13][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:59:05 time: 0.4056 data_time: 0.0377 memory: 4652 grad_norm: 2.7297 loss: 4.4761 loss_cls: 3.0102 loss_bbox: 1.4659 +2024/10/29 06:04:58 - mmengine - INFO - Epoch(train) [13][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:58:47 time: 0.4310 data_time: 0.0423 memory: 4652 grad_norm: 2.7752 loss: 4.4627 loss_cls: 2.9962 loss_bbox: 1.4665 +2024/10/29 06:04:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 06:05:19 - mmengine - INFO - Epoch(train) [13][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:58:18 time: 0.4128 data_time: 0.0420 memory: 4652 grad_norm: 2.6162 loss: 4.5794 loss_cls: 3.0503 loss_bbox: 1.5290 +2024/10/29 06:05:39 - mmengine - INFO - Epoch(train) [13][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:57:46 time: 0.4044 data_time: 0.0396 memory: 4652 grad_norm: 3.0176 loss: 4.5075 loss_cls: 3.0060 loss_bbox: 1.5016 +2024/10/29 06:06:00 - mmengine - INFO - Epoch(train) [13][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:57:17 time: 0.4125 data_time: 0.0512 memory: 4652 grad_norm: 2.7142 loss: 4.5310 loss_cls: 3.0222 loss_bbox: 1.5089 +2024/10/29 06:06:20 - mmengine - INFO - Epoch(train) [13][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:56:44 time: 0.4028 data_time: 0.0387 memory: 4652 grad_norm: 2.8376 loss: 4.4920 loss_cls: 2.9825 loss_bbox: 1.5095 +2024/10/29 06:06:40 - mmengine - INFO - Epoch(train) [13][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:56:13 time: 0.4083 data_time: 0.0398 memory: 4652 grad_norm: 2.6762 loss: 4.4762 loss_cls: 2.9837 loss_bbox: 1.4925 +2024/10/29 06:07:01 - mmengine - INFO - Epoch(train) [13][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:55:46 time: 0.4147 data_time: 0.0503 memory: 4652 grad_norm: 2.6684 loss: 4.5083 loss_cls: 3.0291 loss_bbox: 1.4792 +2024/10/29 06:07:21 - mmengine - INFO - Epoch(train) [13][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:55:16 time: 0.4087 data_time: 0.0392 memory: 4652 grad_norm: 2.8870 loss: 4.5053 loss_cls: 3.0145 loss_bbox: 1.4908 +2024/10/29 06:07:43 - mmengine - INFO - Epoch(train) [13][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:54:54 time: 0.4239 data_time: 0.0401 memory: 4652 grad_norm: 2.5991 loss: 4.4448 loss_cls: 2.9689 loss_bbox: 1.4759 +2024/10/29 06:08:02 - mmengine - INFO - Epoch(train) [13][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:54:17 time: 0.3966 data_time: 0.0389 memory: 4652 grad_norm: 2.7362 loss: 4.4665 loss_cls: 2.9925 loss_bbox: 1.4741 +2024/10/29 06:08:26 - mmengine - INFO - Epoch(train) [13][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:54:19 time: 0.4710 data_time: 0.1040 memory: 4652 grad_norm: 2.6797 loss: 4.6209 loss_cls: 3.0410 loss_bbox: 1.5799 +2024/10/29 06:08:47 - mmengine - INFO - Epoch(train) [13][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:53:51 time: 0.4115 data_time: 0.0456 memory: 4652 grad_norm: 2.6365 loss: 4.5155 loss_cls: 3.0011 loss_bbox: 1.5144 +2024/10/29 06:09:07 - mmengine - INFO - Epoch(train) [13][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:53:26 time: 0.4188 data_time: 0.0432 memory: 4652 grad_norm: 2.5638 loss: 4.4315 loss_cls: 2.9810 loss_bbox: 1.4504 +2024/10/29 06:09:29 - mmengine - INFO - Epoch(train) [13][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:53:06 time: 0.4278 data_time: 0.0507 memory: 4652 grad_norm: 2.7044 loss: 4.6222 loss_cls: 3.0938 loss_bbox: 1.5284 +2024/10/29 06:09:49 - mmengine - INFO - Epoch(train) [13][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:52:36 time: 0.4091 data_time: 0.0390 memory: 4652 grad_norm: 2.5854 loss: 4.4516 loss_cls: 2.9963 loss_bbox: 1.4553 +2024/10/29 06:10:10 - mmengine - INFO - Epoch(train) [13][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:52:06 time: 0.4103 data_time: 0.0404 memory: 4652 grad_norm: 2.9239 loss: 4.5782 loss_cls: 3.0303 loss_bbox: 1.5479 +2024/10/29 06:10:31 - mmengine - INFO - Epoch(train) [13][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:51:43 time: 0.4216 data_time: 0.0456 memory: 4652 grad_norm: 2.6915 loss: 4.5018 loss_cls: 3.0151 loss_bbox: 1.4867 +2024/10/29 06:10:52 - mmengine - INFO - Epoch(train) [13][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:51:16 time: 0.4136 data_time: 0.0407 memory: 4652 grad_norm: 2.8117 loss: 4.4198 loss_cls: 2.9711 loss_bbox: 1.4487 +2024/10/29 06:11:13 - mmengine - INFO - Epoch(train) [13][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:50:57 time: 0.4315 data_time: 0.0525 memory: 4652 grad_norm: 3.0053 loss: 4.4737 loss_cls: 2.9739 loss_bbox: 1.4998 +2024/10/29 06:11:33 - mmengine - INFO - Epoch(train) [13][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:50:23 time: 0.4002 data_time: 0.0416 memory: 4652 grad_norm: 2.7746 loss: 4.5832 loss_cls: 3.0780 loss_bbox: 1.5052 +2024/10/29 06:11:54 - mmengine - INFO - Epoch(train) [13][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:49:56 time: 0.4139 data_time: 0.0385 memory: 4652 grad_norm: 2.5720 loss: 4.5421 loss_cls: 3.0181 loss_bbox: 1.5240 +2024/10/29 06:11:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 06:12:15 - mmengine - INFO - Epoch(train) [13][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:49:34 time: 0.4242 data_time: 0.0387 memory: 4652 grad_norm: 2.8264 loss: 4.5234 loss_cls: 2.9902 loss_bbox: 1.5332 +2024/10/29 06:12:36 - mmengine - INFO - Epoch(train) [13][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:49:06 time: 0.4123 data_time: 0.0385 memory: 4652 grad_norm: 2.6334 loss: 4.5673 loss_cls: 3.0501 loss_bbox: 1.5172 +2024/10/29 06:12:57 - mmengine - INFO - Epoch(train) [13][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:48:48 time: 0.4325 data_time: 0.0468 memory: 4652 grad_norm: 2.6616 loss: 4.5640 loss_cls: 3.0381 loss_bbox: 1.5258 +2024/10/29 06:13:19 - mmengine - INFO - Epoch(train) [13][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:48:27 time: 0.4265 data_time: 0.0400 memory: 4652 grad_norm: 2.8323 loss: 4.4969 loss_cls: 2.9845 loss_bbox: 1.5124 +2024/10/29 06:13:39 - mmengine - INFO - Epoch(train) [13][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:47:58 time: 0.4107 data_time: 0.0457 memory: 4652 grad_norm: 2.9255 loss: 4.5214 loss_cls: 3.0007 loss_bbox: 1.5207 +2024/10/29 06:14:00 - mmengine - INFO - Epoch(train) [13][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:47:37 time: 0.4250 data_time: 0.0394 memory: 4652 grad_norm: 2.6029 loss: 4.4662 loss_cls: 2.9798 loss_bbox: 1.4864 +2024/10/29 06:14:21 - mmengine - INFO - Epoch(train) [13][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:47:09 time: 0.4126 data_time: 0.0383 memory: 4652 grad_norm: 2.6865 loss: 4.4968 loss_cls: 3.0097 loss_bbox: 1.4871 +2024/10/29 06:14:43 - mmengine - INFO - Epoch(train) [13][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:46:50 time: 0.4313 data_time: 0.0452 memory: 4652 grad_norm: 2.6052 loss: 4.5336 loss_cls: 3.0458 loss_bbox: 1.4878 +2024/10/29 06:15:04 - mmengine - INFO - Epoch(train) [13][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:46:25 time: 0.4173 data_time: 0.0474 memory: 4652 grad_norm: 2.8467 loss: 4.5003 loss_cls: 2.9840 loss_bbox: 1.5163 +2024/10/29 06:15:26 - mmengine - INFO - Epoch(train) [13][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:46:17 time: 0.4522 data_time: 0.0750 memory: 4652 grad_norm: 2.7020 loss: 4.4715 loss_cls: 2.9928 loss_bbox: 1.4788 +2024/10/29 06:15:48 - mmengine - INFO - Epoch(train) [13][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:45:57 time: 0.4274 data_time: 0.0387 memory: 4652 grad_norm: 2.9607 loss: 4.5781 loss_cls: 3.0415 loss_bbox: 1.5366 +2024/10/29 06:16:08 - mmengine - INFO - Epoch(train) [13][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:45:29 time: 0.4132 data_time: 0.0378 memory: 4652 grad_norm: 2.6654 loss: 4.4209 loss_cls: 2.9945 loss_bbox: 1.4264 +2024/10/29 06:16:29 - mmengine - INFO - Epoch(train) [13][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:45:06 time: 0.4216 data_time: 0.0389 memory: 4652 grad_norm: 2.7840 loss: 4.4946 loss_cls: 2.9823 loss_bbox: 1.5123 +2024/10/29 06:16:50 - mmengine - INFO - Epoch(train) [13][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:44:41 time: 0.4187 data_time: 0.0380 memory: 4652 grad_norm: 2.7627 loss: 4.5346 loss_cls: 3.0110 loss_bbox: 1.5236 +2024/10/29 06:17:11 - mmengine - INFO - Epoch(train) [13][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:44:15 time: 0.4157 data_time: 0.0478 memory: 4652 grad_norm: 2.7175 loss: 4.4567 loss_cls: 2.9618 loss_bbox: 1.4948 +2024/10/29 06:17:33 - mmengine - INFO - Epoch(train) [13][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:43:57 time: 0.4322 data_time: 0.0415 memory: 4652 grad_norm: 2.6186 loss: 4.5588 loss_cls: 3.0661 loss_bbox: 1.4927 +2024/10/29 06:17:53 - mmengine - INFO - Epoch(train) [13][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:43:31 time: 0.4168 data_time: 0.0385 memory: 4652 grad_norm: 2.5203 loss: 4.4522 loss_cls: 2.9822 loss_bbox: 1.4700 +2024/10/29 06:18:15 - mmengine - INFO - Epoch(train) [13][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:43:14 time: 0.4327 data_time: 0.0413 memory: 4652 grad_norm: 2.6429 loss: 4.5897 loss_cls: 3.0634 loss_bbox: 1.5263 +2024/10/29 06:18:36 - mmengine - INFO - Epoch(train) [13][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:42:47 time: 0.4145 data_time: 0.0382 memory: 4652 grad_norm: 2.7792 loss: 4.5811 loss_cls: 3.0440 loss_bbox: 1.5372 +2024/10/29 06:18:57 - mmengine - INFO - Epoch(train) [13][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:42:20 time: 0.4149 data_time: 0.0404 memory: 4652 grad_norm: 2.8370 loss: 4.5440 loss_cls: 3.0338 loss_bbox: 1.5103 +2024/10/29 06:18:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 06:19:18 - mmengine - INFO - Epoch(train) [13][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:41:59 time: 0.4261 data_time: 0.0402 memory: 4652 grad_norm: 2.6260 loss: 4.4549 loss_cls: 3.0030 loss_bbox: 1.4520 +2024/10/29 06:19:39 - mmengine - INFO - Epoch(train) [13][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:41:32 time: 0.4138 data_time: 0.0490 memory: 4652 grad_norm: 2.8737 loss: 4.5387 loss_cls: 3.0197 loss_bbox: 1.5190 +2024/10/29 06:20:00 - mmengine - INFO - Epoch(train) [13][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:41:12 time: 0.4263 data_time: 0.0426 memory: 4652 grad_norm: 2.6617 loss: 4.5893 loss_cls: 3.0552 loss_bbox: 1.5341 +2024/10/29 06:20:20 - mmengine - INFO - Epoch(train) [13][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:40:43 time: 0.4117 data_time: 0.0372 memory: 4652 grad_norm: 2.7033 loss: 4.4867 loss_cls: 2.9810 loss_bbox: 1.5057 +2024/10/29 06:20:41 - mmengine - INFO - Epoch(train) [13][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:40:17 time: 0.4148 data_time: 0.0395 memory: 4652 grad_norm: 2.6798 loss: 4.5602 loss_cls: 2.9966 loss_bbox: 1.5636 +2024/10/29 06:21:02 - mmengine - INFO - Epoch(train) [13][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:39:55 time: 0.4239 data_time: 0.0401 memory: 4652 grad_norm: 2.6276 loss: 4.4145 loss_cls: 2.9531 loss_bbox: 1.4613 +2024/10/29 06:21:25 - mmengine - INFO - Epoch(train) [13][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:39:49 time: 0.4567 data_time: 0.1001 memory: 4652 grad_norm: 2.8703 loss: 4.5698 loss_cls: 3.0310 loss_bbox: 1.5388 +2024/10/29 06:21:46 - mmengine - INFO - Epoch(train) [13][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:39:27 time: 0.4238 data_time: 0.0377 memory: 4652 grad_norm: 2.8961 loss: 4.4736 loss_cls: 2.9954 loss_bbox: 1.4781 +2024/10/29 06:22:07 - mmengine - INFO - Epoch(train) [13][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:38:59 time: 0.4120 data_time: 0.0434 memory: 4652 grad_norm: 2.5463 loss: 4.5745 loss_cls: 3.0985 loss_bbox: 1.4760 +2024/10/29 06:22:28 - mmengine - INFO - Epoch(train) [13][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:38:34 time: 0.4171 data_time: 0.0406 memory: 4652 grad_norm: 2.7697 loss: 4.5261 loss_cls: 3.0062 loss_bbox: 1.5199 +2024/10/29 06:22:48 - mmengine - INFO - Epoch(train) [13][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:38:05 time: 0.4112 data_time: 0.0373 memory: 4652 grad_norm: 2.6691 loss: 4.5206 loss_cls: 3.0228 loss_bbox: 1.4977 +2024/10/29 06:23:09 - mmengine - INFO - Epoch(train) [13][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:37:39 time: 0.4156 data_time: 0.0370 memory: 4652 grad_norm: 2.6587 loss: 4.4999 loss_cls: 2.9774 loss_bbox: 1.5224 +2024/10/29 06:23:30 - mmengine - INFO - Epoch(train) [13][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:37:11 time: 0.4111 data_time: 0.0387 memory: 4652 grad_norm: 2.6477 loss: 4.5223 loss_cls: 3.0160 loss_bbox: 1.5063 +2024/10/29 06:23:50 - mmengine - INFO - Epoch(train) [13][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:36:44 time: 0.4130 data_time: 0.0483 memory: 4652 grad_norm: 2.6538 loss: 4.3974 loss_cls: 2.9276 loss_bbox: 1.4698 +2024/10/29 06:23:52 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 06:23:52 - mmengine - INFO - Saving checkpoint at 13 epochs +2024/10/29 06:24:18 - mmengine - INFO - Epoch(train) [14][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:36:19 time: 0.4283 data_time: 0.0514 memory: 4652 grad_norm: 2.8047 loss: 4.5669 loss_cls: 3.0407 loss_bbox: 1.5263 +2024/10/29 06:24:38 - mmengine - INFO - Epoch(train) [14][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:35:49 time: 0.4062 data_time: 0.0373 memory: 4652 grad_norm: 2.6843 loss: 4.4426 loss_cls: 2.9608 loss_bbox: 1.4818 +2024/10/29 06:24:58 - mmengine - INFO - Epoch(train) [14][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:35:19 time: 0.4078 data_time: 0.0372 memory: 4652 grad_norm: 2.6432 loss: 4.5933 loss_cls: 3.0746 loss_bbox: 1.5188 +2024/10/29 06:25:19 - mmengine - INFO - Epoch(train) [14][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:34:51 time: 0.4117 data_time: 0.0420 memory: 4652 grad_norm: 2.7535 loss: 4.5513 loss_cls: 3.0509 loss_bbox: 1.5003 +2024/10/29 06:25:39 - mmengine - INFO - Epoch(train) [14][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:34:21 time: 0.4058 data_time: 0.0382 memory: 4652 grad_norm: 2.7635 loss: 4.3657 loss_cls: 2.9035 loss_bbox: 1.4622 +2024/10/29 06:25:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 06:26:00 - mmengine - INFO - Epoch(train) [14][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:33:52 time: 0.4097 data_time: 0.0363 memory: 4652 grad_norm: 2.6768 loss: 4.4414 loss_cls: 2.9676 loss_bbox: 1.4738 +2024/10/29 06:26:20 - mmengine - INFO - Epoch(train) [14][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:33:25 time: 0.4128 data_time: 0.0385 memory: 4652 grad_norm: 2.6054 loss: 4.5204 loss_cls: 3.0322 loss_bbox: 1.4883 +2024/10/29 06:26:41 - mmengine - INFO - Epoch(train) [14][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:32:58 time: 0.4141 data_time: 0.0378 memory: 4652 grad_norm: 2.5287 loss: 4.5086 loss_cls: 3.0122 loss_bbox: 1.4964 +2024/10/29 06:27:02 - mmengine - INFO - Epoch(train) [14][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:32:31 time: 0.4140 data_time: 0.0435 memory: 4652 grad_norm: 2.5813 loss: 4.5798 loss_cls: 3.0481 loss_bbox: 1.5318 +2024/10/29 06:27:26 - mmengine - INFO - Epoch(train) [14][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:32:34 time: 0.4742 data_time: 0.1173 memory: 4652 grad_norm: 2.6958 loss: 4.5904 loss_cls: 3.0898 loss_bbox: 1.5007 +2024/10/29 06:27:47 - mmengine - INFO - Epoch(train) [14][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:32:11 time: 0.4227 data_time: 0.0401 memory: 4652 grad_norm: 2.7065 loss: 4.5912 loss_cls: 3.0694 loss_bbox: 1.5218 +2024/10/29 06:28:07 - mmengine - INFO - Epoch(train) [14][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:31:36 time: 0.3966 data_time: 0.0398 memory: 4652 grad_norm: 2.8259 loss: 4.4790 loss_cls: 2.9835 loss_bbox: 1.4955 +2024/10/29 06:28:27 - mmengine - INFO - Epoch(train) [14][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:31:11 time: 0.4170 data_time: 0.0431 memory: 4652 grad_norm: 2.8949 loss: 4.5090 loss_cls: 3.0089 loss_bbox: 1.5001 +2024/10/29 06:28:48 - mmengine - INFO - Epoch(train) [14][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:30:44 time: 0.4132 data_time: 0.0392 memory: 4652 grad_norm: 2.6719 loss: 4.5536 loss_cls: 2.9910 loss_bbox: 1.5626 +2024/10/29 06:29:08 - mmengine - INFO - Epoch(train) [14][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:30:15 time: 0.4083 data_time: 0.0475 memory: 4652 grad_norm: 2.7740 loss: 4.4962 loss_cls: 2.9689 loss_bbox: 1.5273 +2024/10/29 06:29:29 - mmengine - INFO - Epoch(train) [14][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:29:50 time: 0.4174 data_time: 0.0392 memory: 4652 grad_norm: 2.5858 loss: 4.4232 loss_cls: 2.9721 loss_bbox: 1.4511 +2024/10/29 06:29:50 - mmengine - INFO - Epoch(train) [14][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:29:22 time: 0.4102 data_time: 0.0493 memory: 4652 grad_norm: 2.6765 loss: 4.5144 loss_cls: 3.0181 loss_bbox: 1.4963 +2024/10/29 06:30:10 - mmengine - INFO - Epoch(train) [14][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:28:53 time: 0.4095 data_time: 0.0402 memory: 4652 grad_norm: 2.7287 loss: 4.5130 loss_cls: 3.0016 loss_bbox: 1.5113 +2024/10/29 06:30:31 - mmengine - INFO - Epoch(train) [14][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:28:28 time: 0.4179 data_time: 0.0455 memory: 4652 grad_norm: 2.8705 loss: 4.4863 loss_cls: 3.0090 loss_bbox: 1.4773 +2024/10/29 06:30:52 - mmengine - INFO - Epoch(train) [14][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:28:02 time: 0.4154 data_time: 0.0485 memory: 4652 grad_norm: 2.6868 loss: 4.4251 loss_cls: 2.9750 loss_bbox: 1.4500 +2024/10/29 06:31:13 - mmengine - INFO - Epoch(train) [14][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:27:38 time: 0.4174 data_time: 0.0397 memory: 4652 grad_norm: 2.7222 loss: 4.5111 loss_cls: 2.9992 loss_bbox: 1.5120 +2024/10/29 06:31:33 - mmengine - INFO - Epoch(train) [14][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:27:08 time: 0.4080 data_time: 0.0401 memory: 4652 grad_norm: 2.5766 loss: 4.4535 loss_cls: 2.9923 loss_bbox: 1.4612 +2024/10/29 06:31:53 - mmengine - INFO - Epoch(train) [14][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:26:36 time: 0.4010 data_time: 0.0439 memory: 4652 grad_norm: 2.7971 loss: 4.4979 loss_cls: 3.0071 loss_bbox: 1.4908 +2024/10/29 06:32:14 - mmengine - INFO - Epoch(train) [14][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:26:06 time: 0.4066 data_time: 0.0381 memory: 4652 grad_norm: 2.7005 loss: 4.5537 loss_cls: 3.0235 loss_bbox: 1.5302 +2024/10/29 06:32:34 - mmengine - INFO - Epoch(train) [14][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:25:37 time: 0.4095 data_time: 0.0442 memory: 4652 grad_norm: 2.7657 loss: 4.5407 loss_cls: 3.0319 loss_bbox: 1.5088 +2024/10/29 06:32:54 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 06:32:54 - mmengine - INFO - Epoch(train) [14][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:25:08 time: 0.4072 data_time: 0.0393 memory: 4652 grad_norm: 2.6806 loss: 4.4180 loss_cls: 2.9568 loss_bbox: 1.4612 +2024/10/29 06:33:15 - mmengine - INFO - Epoch(train) [14][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:24:39 time: 0.4075 data_time: 0.0397 memory: 4652 grad_norm: 2.8044 loss: 4.5554 loss_cls: 3.0225 loss_bbox: 1.5329 +2024/10/29 06:33:35 - mmengine - INFO - Epoch(train) [14][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:24:07 time: 0.4019 data_time: 0.0397 memory: 4652 grad_norm: 2.6310 loss: 4.5934 loss_cls: 3.0211 loss_bbox: 1.5724 +2024/10/29 06:33:55 - mmengine - INFO - Epoch(train) [14][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:23:38 time: 0.4098 data_time: 0.0366 memory: 4652 grad_norm: 2.6106 loss: 4.5243 loss_cls: 2.9986 loss_bbox: 1.5257 +2024/10/29 06:34:16 - mmengine - INFO - Epoch(train) [14][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:23:12 time: 0.4136 data_time: 0.0467 memory: 4652 grad_norm: 2.5798 loss: 4.4161 loss_cls: 2.9619 loss_bbox: 1.4542 +2024/10/29 06:34:37 - mmengine - INFO - Epoch(train) [14][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:22:48 time: 0.4180 data_time: 0.0432 memory: 4652 grad_norm: 2.6648 loss: 4.4274 loss_cls: 2.9627 loss_bbox: 1.4648 +2024/10/29 06:34:58 - mmengine - INFO - Epoch(train) [14][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:22:19 time: 0.4093 data_time: 0.0398 memory: 4652 grad_norm: 2.8258 loss: 4.3711 loss_cls: 2.9595 loss_bbox: 1.4116 +2024/10/29 06:35:19 - mmengine - INFO - Epoch(train) [14][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:21:55 time: 0.4195 data_time: 0.0480 memory: 4652 grad_norm: 2.4542 loss: 4.5454 loss_cls: 2.9933 loss_bbox: 1.5521 +2024/10/29 06:35:39 - mmengine - INFO - Epoch(train) [14][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:21:27 time: 0.4101 data_time: 0.0399 memory: 4652 grad_norm: 2.5780 loss: 4.5565 loss_cls: 3.0197 loss_bbox: 1.5368 +2024/10/29 06:36:00 - mmengine - INFO - Epoch(train) [14][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:21:02 time: 0.4152 data_time: 0.0468 memory: 4652 grad_norm: 2.5660 loss: 4.5380 loss_cls: 3.0531 loss_bbox: 1.4848 +2024/10/29 06:36:20 - mmengine - INFO - Epoch(train) [14][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:20:36 time: 0.4144 data_time: 0.0464 memory: 4652 grad_norm: 2.6611 loss: 4.4401 loss_cls: 2.9707 loss_bbox: 1.4694 +2024/10/29 06:36:42 - mmengine - INFO - Epoch(train) [14][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:20:14 time: 0.4234 data_time: 0.0473 memory: 4652 grad_norm: 2.8210 loss: 4.4688 loss_cls: 2.9950 loss_bbox: 1.4739 +2024/10/29 06:37:02 - mmengine - INFO - Epoch(train) [14][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:19:44 time: 0.4060 data_time: 0.0397 memory: 4652 grad_norm: 2.6719 loss: 4.5263 loss_cls: 3.0319 loss_bbox: 1.4944 +2024/10/29 06:37:26 - mmengine - INFO - Epoch(train) [14][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:19:47 time: 0.4770 data_time: 0.1048 memory: 4652 grad_norm: 2.8712 loss: 4.4723 loss_cls: 3.0004 loss_bbox: 1.4719 +2024/10/29 06:37:47 - mmengine - INFO - Epoch(train) [14][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:19:21 time: 0.4141 data_time: 0.0436 memory: 4652 grad_norm: 2.6560 loss: 4.3967 loss_cls: 2.9587 loss_bbox: 1.4380 +2024/10/29 06:38:07 - mmengine - INFO - Epoch(train) [14][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:18:51 time: 0.4073 data_time: 0.0381 memory: 4652 grad_norm: 2.6692 loss: 4.4506 loss_cls: 2.9893 loss_bbox: 1.4613 +2024/10/29 06:38:28 - mmengine - INFO - Epoch(train) [14][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:18:28 time: 0.4191 data_time: 0.0399 memory: 4652 grad_norm: 2.9263 loss: 4.4662 loss_cls: 2.9806 loss_bbox: 1.4856 +2024/10/29 06:38:48 - mmengine - INFO - Epoch(train) [14][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:18:00 time: 0.4116 data_time: 0.0438 memory: 4652 grad_norm: 2.7521 loss: 4.4832 loss_cls: 3.0149 loss_bbox: 1.4683 +2024/10/29 06:39:10 - mmengine - INFO - Epoch(train) [14][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:17:38 time: 0.4228 data_time: 0.0379 memory: 4652 grad_norm: 2.6568 loss: 4.4282 loss_cls: 2.9563 loss_bbox: 1.4719 +2024/10/29 06:39:30 - mmengine - INFO - Epoch(train) [14][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:17:11 time: 0.4116 data_time: 0.0462 memory: 4652 grad_norm: 2.7729 loss: 4.5339 loss_cls: 3.0311 loss_bbox: 1.5028 +2024/10/29 06:39:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 06:39:51 - mmengine - INFO - Epoch(train) [14][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:16:45 time: 0.4148 data_time: 0.0376 memory: 4652 grad_norm: 2.7156 loss: 4.5546 loss_cls: 3.0351 loss_bbox: 1.5195 +2024/10/29 06:40:12 - mmengine - INFO - Epoch(train) [14][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:16:23 time: 0.4226 data_time: 0.0475 memory: 4652 grad_norm: 2.7701 loss: 4.4584 loss_cls: 2.9584 loss_bbox: 1.4999 +2024/10/29 06:40:32 - mmengine - INFO - Epoch(train) [14][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:15:50 time: 0.3980 data_time: 0.0390 memory: 4652 grad_norm: 2.7211 loss: 4.4791 loss_cls: 2.9773 loss_bbox: 1.5018 +2024/10/29 06:40:53 - mmengine - INFO - Epoch(train) [14][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:15:28 time: 0.4240 data_time: 0.0408 memory: 4652 grad_norm: 2.5175 loss: 4.5686 loss_cls: 3.0714 loss_bbox: 1.4971 +2024/10/29 06:41:13 - mmengine - INFO - Epoch(train) [14][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:14:55 time: 0.3981 data_time: 0.0444 memory: 4652 grad_norm: 2.7189 loss: 4.5652 loss_cls: 3.0463 loss_bbox: 1.5189 +2024/10/29 06:41:33 - mmengine - INFO - Epoch(train) [14][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:14:26 time: 0.4072 data_time: 0.0379 memory: 4652 grad_norm: 2.8623 loss: 4.5060 loss_cls: 2.9814 loss_bbox: 1.5246 +2024/10/29 06:41:53 - mmengine - INFO - Epoch(train) [14][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:13:53 time: 0.3990 data_time: 0.0450 memory: 4652 grad_norm: 2.5129 loss: 4.4758 loss_cls: 2.9620 loss_bbox: 1.5138 +2024/10/29 06:42:13 - mmengine - INFO - Epoch(train) [14][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:13:16 time: 0.3887 data_time: 0.0375 memory: 4652 grad_norm: 2.6557 loss: 4.5279 loss_cls: 3.0387 loss_bbox: 1.4892 +2024/10/29 06:42:34 - mmengine - INFO - Epoch(train) [14][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:12:50 time: 0.4142 data_time: 0.0389 memory: 4652 grad_norm: 2.4882 loss: 4.4162 loss_cls: 2.9861 loss_bbox: 1.4300 +2024/10/29 06:42:53 - mmengine - INFO - Epoch(train) [14][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:12:17 time: 0.3975 data_time: 0.0416 memory: 4652 grad_norm: 2.9236 loss: 4.4271 loss_cls: 2.9303 loss_bbox: 1.4968 +2024/10/29 06:43:13 - mmengine - INFO - Epoch(train) [14][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:11:44 time: 0.3988 data_time: 0.0394 memory: 4652 grad_norm: 2.7398 loss: 4.4055 loss_cls: 2.9618 loss_bbox: 1.4438 +2024/10/29 06:43:33 - mmengine - INFO - Epoch(train) [14][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:11:13 time: 0.4013 data_time: 0.0443 memory: 4652 grad_norm: 2.7402 loss: 4.6052 loss_cls: 3.0751 loss_bbox: 1.5301 +2024/10/29 06:43:53 - mmengine - INFO - Epoch(train) [14][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:10:36 time: 0.3901 data_time: 0.0394 memory: 4652 grad_norm: 2.7527 loss: 4.4560 loss_cls: 2.9697 loss_bbox: 1.4864 +2024/10/29 06:44:14 - mmengine - INFO - Epoch(train) [14][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:10:10 time: 0.4125 data_time: 0.0528 memory: 4652 grad_norm: 2.9975 loss: 4.6596 loss_cls: 3.0830 loss_bbox: 1.5766 +2024/10/29 06:44:33 - mmengine - INFO - Epoch(train) [14][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:09:37 time: 0.3974 data_time: 0.0405 memory: 4652 grad_norm: 2.5332 loss: 4.5708 loss_cls: 3.0705 loss_bbox: 1.5003 +2024/10/29 06:44:53 - mmengine - INFO - Epoch(train) [14][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:09:03 time: 0.3961 data_time: 0.0434 memory: 4652 grad_norm: 2.6894 loss: 4.5844 loss_cls: 3.0426 loss_bbox: 1.5418 +2024/10/29 06:44:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 06:44:55 - mmengine - INFO - Saving checkpoint at 14 epochs +2024/10/29 06:45:22 - mmengine - INFO - Epoch(train) [15][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:08:45 time: 0.4330 data_time: 0.0556 memory: 4652 grad_norm: 2.7142 loss: 4.4929 loss_cls: 2.9840 loss_bbox: 1.5089 +2024/10/29 06:45:42 - mmengine - INFO - Epoch(train) [15][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:08:14 time: 0.4025 data_time: 0.0396 memory: 4652 grad_norm: 2.6817 loss: 4.5427 loss_cls: 3.0518 loss_bbox: 1.4909 +2024/10/29 06:46:02 - mmengine - INFO - Epoch(train) [15][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:07:49 time: 0.4146 data_time: 0.0386 memory: 4652 grad_norm: 2.7204 loss: 4.3986 loss_cls: 2.9278 loss_bbox: 1.4708 +2024/10/29 06:46:26 - mmengine - INFO - Epoch(train) [15][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:07:50 time: 0.4746 data_time: 0.1092 memory: 4652 grad_norm: 2.6090 loss: 4.4272 loss_cls: 2.9608 loss_bbox: 1.4664 +2024/10/29 06:46:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 06:46:47 - mmengine - INFO - Epoch(train) [15][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:07:29 time: 0.4251 data_time: 0.0423 memory: 4652 grad_norm: 2.8645 loss: 4.4032 loss_cls: 2.9676 loss_bbox: 1.4355 +2024/10/29 06:47:08 - mmengine - INFO - Epoch(train) [15][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:07:02 time: 0.4104 data_time: 0.0456 memory: 4652 grad_norm: 2.4622 loss: 4.4824 loss_cls: 2.9907 loss_bbox: 1.4918 +2024/10/29 06:47:29 - mmengine - INFO - Epoch(train) [15][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:06:34 time: 0.4101 data_time: 0.0432 memory: 4652 grad_norm: 2.8170 loss: 4.4177 loss_cls: 2.9439 loss_bbox: 1.4737 +2024/10/29 06:47:50 - mmengine - INFO - Epoch(train) [15][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:06:19 time: 0.4372 data_time: 0.0453 memory: 4652 grad_norm: 2.7430 loss: 4.4509 loss_cls: 2.9747 loss_bbox: 1.4762 +2024/10/29 06:48:11 - mmengine - INFO - Epoch(train) [15][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:05:48 time: 0.4030 data_time: 0.0407 memory: 4652 grad_norm: 2.7777 loss: 4.5133 loss_cls: 3.0049 loss_bbox: 1.5083 +2024/10/29 06:48:32 - mmengine - INFO - Epoch(train) [15][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:05:28 time: 0.4254 data_time: 0.0406 memory: 4652 grad_norm: 2.7215 loss: 4.4588 loss_cls: 2.9838 loss_bbox: 1.4750 +2024/10/29 06:48:52 - mmengine - INFO - Epoch(train) [15][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:04:55 time: 0.3979 data_time: 0.0384 memory: 4652 grad_norm: 2.6132 loss: 4.4924 loss_cls: 2.9891 loss_bbox: 1.5033 +2024/10/29 06:49:12 - mmengine - INFO - Epoch(train) [15][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:04:26 time: 0.4064 data_time: 0.0407 memory: 4652 grad_norm: 2.7484 loss: 4.4071 loss_cls: 2.9430 loss_bbox: 1.4642 +2024/10/29 06:49:33 - mmengine - INFO - Epoch(train) [15][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:04:01 time: 0.4160 data_time: 0.0496 memory: 4652 grad_norm: 2.5671 loss: 4.3836 loss_cls: 2.9265 loss_bbox: 1.4571 +2024/10/29 06:49:53 - mmengine - INFO - Epoch(train) [15][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:03:29 time: 0.3981 data_time: 0.0392 memory: 4652 grad_norm: 2.9243 loss: 4.4894 loss_cls: 2.9755 loss_bbox: 1.5139 +2024/10/29 06:50:14 - mmengine - INFO - Epoch(train) [15][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:03:04 time: 0.4160 data_time: 0.0394 memory: 4652 grad_norm: 2.7801 loss: 4.4942 loss_cls: 2.9966 loss_bbox: 1.4976 +2024/10/29 06:50:34 - mmengine - INFO - Epoch(train) [15][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:02:33 time: 0.4013 data_time: 0.0471 memory: 4652 grad_norm: 2.5898 loss: 4.3904 loss_cls: 2.9461 loss_bbox: 1.4443 +2024/10/29 06:50:54 - mmengine - INFO - Epoch(train) [15][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:02:07 time: 0.4138 data_time: 0.0443 memory: 4652 grad_norm: 2.8205 loss: 4.4737 loss_cls: 3.0181 loss_bbox: 1.4556 +2024/10/29 06:51:15 - mmengine - INFO - Epoch(train) [15][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:01:43 time: 0.4179 data_time: 0.0452 memory: 4652 grad_norm: 2.7828 loss: 4.5048 loss_cls: 2.9896 loss_bbox: 1.5152 +2024/10/29 06:51:36 - mmengine - INFO - Epoch(train) [15][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:01:15 time: 0.4065 data_time: 0.0428 memory: 4652 grad_norm: 2.8182 loss: 4.5538 loss_cls: 3.0196 loss_bbox: 1.5342 +2024/10/29 06:51:57 - mmengine - INFO - Epoch(train) [15][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:00:54 time: 0.4258 data_time: 0.0451 memory: 4652 grad_norm: 2.8665 loss: 4.5128 loss_cls: 3.0549 loss_bbox: 1.4580 +2024/10/29 06:52:17 - mmengine - INFO - Epoch(train) [15][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 14:00:27 time: 0.4098 data_time: 0.0395 memory: 4652 grad_norm: 2.5592 loss: 4.5491 loss_cls: 3.0286 loss_bbox: 1.5205 +2024/10/29 06:52:38 - mmengine - INFO - Epoch(train) [15][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:59:58 time: 0.4050 data_time: 0.0381 memory: 4652 grad_norm: 2.8085 loss: 4.4625 loss_cls: 2.9653 loss_bbox: 1.4972 +2024/10/29 06:52:59 - mmengine - INFO - Epoch(train) [15][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:59:36 time: 0.4226 data_time: 0.0429 memory: 4652 grad_norm: 2.7700 loss: 4.5081 loss_cls: 3.0154 loss_bbox: 1.4927 +2024/10/29 06:53:19 - mmengine - INFO - Epoch(train) [15][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:59:05 time: 0.4016 data_time: 0.0404 memory: 4652 grad_norm: 2.5265 loss: 4.5666 loss_cls: 3.0165 loss_bbox: 1.5501 +2024/10/29 06:53:37 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 06:53:40 - mmengine - INFO - Epoch(train) [15][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:58:46 time: 0.4295 data_time: 0.0483 memory: 4652 grad_norm: 2.6261 loss: 4.4501 loss_cls: 3.0035 loss_bbox: 1.4465 +2024/10/29 06:54:01 - mmengine - INFO - Epoch(train) [15][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:58:17 time: 0.4057 data_time: 0.0368 memory: 4652 grad_norm: 2.5714 loss: 4.5197 loss_cls: 3.0135 loss_bbox: 1.5063 +2024/10/29 06:54:21 - mmengine - INFO - Epoch(train) [15][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:57:51 time: 0.4120 data_time: 0.0392 memory: 4652 grad_norm: 2.5987 loss: 4.4725 loss_cls: 3.0306 loss_bbox: 1.4419 +2024/10/29 06:54:42 - mmengine - INFO - Epoch(train) [15][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:57:26 time: 0.4159 data_time: 0.0383 memory: 4652 grad_norm: 2.5332 loss: 4.5212 loss_cls: 3.0174 loss_bbox: 1.5037 +2024/10/29 06:55:02 - mmengine - INFO - Epoch(train) [15][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:56:58 time: 0.4078 data_time: 0.0360 memory: 4652 grad_norm: 2.7875 loss: 4.4758 loss_cls: 3.0142 loss_bbox: 1.4616 +2024/10/29 06:55:26 - mmengine - INFO - Epoch(train) [15][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:56:56 time: 0.4690 data_time: 0.0872 memory: 4652 grad_norm: 2.7615 loss: 4.5320 loss_cls: 3.0106 loss_bbox: 1.5214 +2024/10/29 06:55:47 - mmengine - INFO - Epoch(train) [15][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:56:32 time: 0.4180 data_time: 0.0401 memory: 4652 grad_norm: 2.6325 loss: 4.5104 loss_cls: 3.0185 loss_bbox: 1.4919 +2024/10/29 06:56:07 - mmengine - INFO - Epoch(train) [15][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:56:03 time: 0.4055 data_time: 0.0351 memory: 4652 grad_norm: 2.7627 loss: 4.5099 loss_cls: 3.0114 loss_bbox: 1.4985 +2024/10/29 06:56:27 - mmengine - INFO - Epoch(train) [15][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:55:36 time: 0.4097 data_time: 0.0428 memory: 4652 grad_norm: 2.7859 loss: 4.4314 loss_cls: 2.9951 loss_bbox: 1.4364 +2024/10/29 06:56:48 - mmengine - INFO - Epoch(train) [15][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:55:10 time: 0.4107 data_time: 0.0364 memory: 4652 grad_norm: 2.6390 loss: 4.3682 loss_cls: 2.9220 loss_bbox: 1.4462 +2024/10/29 06:57:09 - mmengine - INFO - Epoch(train) [15][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:54:45 time: 0.4150 data_time: 0.0399 memory: 4652 grad_norm: 2.5619 loss: 4.4349 loss_cls: 2.9917 loss_bbox: 1.4431 +2024/10/29 06:57:30 - mmengine - INFO - Epoch(train) [15][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:54:25 time: 0.4267 data_time: 0.0405 memory: 4652 grad_norm: 2.8500 loss: 4.4292 loss_cls: 2.9569 loss_bbox: 1.4723 +2024/10/29 06:57:51 - mmengine - INFO - Epoch(train) [15][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:54:00 time: 0.4153 data_time: 0.0432 memory: 4652 grad_norm: 2.6867 loss: 4.3710 loss_cls: 2.9647 loss_bbox: 1.4063 +2024/10/29 06:58:11 - mmengine - INFO - Epoch(train) [15][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:53:32 time: 0.4083 data_time: 0.0354 memory: 4652 grad_norm: 2.8676 loss: 4.4501 loss_cls: 2.9150 loss_bbox: 1.5351 +2024/10/29 06:58:32 - mmengine - INFO - Epoch(train) [15][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:53:10 time: 0.4226 data_time: 0.0369 memory: 4652 grad_norm: 2.7302 loss: 4.4169 loss_cls: 2.9519 loss_bbox: 1.4650 +2024/10/29 06:58:53 - mmengine - INFO - Epoch(train) [15][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:52:43 time: 0.4087 data_time: 0.0375 memory: 4652 grad_norm: 2.8593 loss: 4.5113 loss_cls: 2.9928 loss_bbox: 1.5186 +2024/10/29 06:59:13 - mmengine - INFO - Epoch(train) [15][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:52:14 time: 0.4059 data_time: 0.0355 memory: 4652 grad_norm: 2.8946 loss: 4.4697 loss_cls: 2.9571 loss_bbox: 1.5126 +2024/10/29 06:59:34 - mmengine - INFO - Epoch(train) [15][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:51:46 time: 0.4065 data_time: 0.0421 memory: 4652 grad_norm: 2.6553 loss: 4.4563 loss_cls: 2.9742 loss_bbox: 1.4821 +2024/10/29 06:59:54 - mmengine - INFO - Epoch(train) [15][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:51:21 time: 0.4154 data_time: 0.0481 memory: 4652 grad_norm: 2.6959 loss: 4.4000 loss_cls: 2.9465 loss_bbox: 1.4534 +2024/10/29 07:00:15 - mmengine - INFO - Epoch(train) [15][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:51:00 time: 0.4229 data_time: 0.0372 memory: 4652 grad_norm: 2.7460 loss: 4.4777 loss_cls: 3.0035 loss_bbox: 1.4742 +2024/10/29 07:00:33 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 07:00:36 - mmengine - INFO - Epoch(train) [15][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:50:30 time: 0.4036 data_time: 0.0449 memory: 4652 grad_norm: 2.8583 loss: 4.4694 loss_cls: 2.9934 loss_bbox: 1.4760 +2024/10/29 07:00:56 - mmengine - INFO - Epoch(train) [15][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:50:01 time: 0.4056 data_time: 0.0391 memory: 4652 grad_norm: 2.8513 loss: 4.4158 loss_cls: 2.9466 loss_bbox: 1.4692 +2024/10/29 07:01:16 - mmengine - INFO - Epoch(train) [15][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:49:33 time: 0.4066 data_time: 0.0402 memory: 4652 grad_norm: 2.6586 loss: 4.3294 loss_cls: 2.9100 loss_bbox: 1.4194 +2024/10/29 07:01:37 - mmengine - INFO - Epoch(train) [15][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:49:08 time: 0.4144 data_time: 0.0470 memory: 4652 grad_norm: 2.5650 loss: 4.4822 loss_cls: 3.0191 loss_bbox: 1.4631 +2024/10/29 07:01:58 - mmengine - INFO - Epoch(train) [15][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:48:44 time: 0.4167 data_time: 0.0423 memory: 4652 grad_norm: 2.5263 loss: 4.4704 loss_cls: 2.9733 loss_bbox: 1.4971 +2024/10/29 07:02:18 - mmengine - INFO - Epoch(train) [15][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:48:17 time: 0.4085 data_time: 0.0446 memory: 4652 grad_norm: 2.6846 loss: 4.4483 loss_cls: 2.9612 loss_bbox: 1.4871 +2024/10/29 07:02:39 - mmengine - INFO - Epoch(train) [15][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:47:49 time: 0.4071 data_time: 0.0352 memory: 4652 grad_norm: 2.9770 loss: 4.4925 loss_cls: 2.9922 loss_bbox: 1.5003 +2024/10/29 07:02:59 - mmengine - INFO - Epoch(train) [15][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:47:19 time: 0.4036 data_time: 0.0370 memory: 4652 grad_norm: 2.5794 loss: 4.4238 loss_cls: 2.9553 loss_bbox: 1.4685 +2024/10/29 07:03:20 - mmengine - INFO - Epoch(train) [15][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:46:59 time: 0.4252 data_time: 0.0365 memory: 4652 grad_norm: 2.9666 loss: 4.4465 loss_cls: 2.9861 loss_bbox: 1.4604 +2024/10/29 07:03:41 - mmengine - INFO - Epoch(train) [15][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:46:37 time: 0.4213 data_time: 0.0358 memory: 4652 grad_norm: 2.8003 loss: 4.4189 loss_cls: 2.9733 loss_bbox: 1.4456 +2024/10/29 07:04:02 - mmengine - INFO - Epoch(train) [15][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:46:16 time: 0.4242 data_time: 0.0387 memory: 4652 grad_norm: 2.8525 loss: 4.5175 loss_cls: 3.0135 loss_bbox: 1.5039 +2024/10/29 07:04:27 - mmengine - INFO - Epoch(train) [15][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:46:20 time: 0.4852 data_time: 0.1079 memory: 4652 grad_norm: 3.0345 loss: 4.5785 loss_cls: 3.0570 loss_bbox: 1.5215 +2024/10/29 07:04:47 - mmengine - INFO - Epoch(train) [15][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:45:56 time: 0.4172 data_time: 0.0365 memory: 4652 grad_norm: 2.7888 loss: 4.4321 loss_cls: 2.9665 loss_bbox: 1.4656 +2024/10/29 07:05:08 - mmengine - INFO - Epoch(train) [15][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:45:31 time: 0.4146 data_time: 0.0364 memory: 4652 grad_norm: 2.5204 loss: 4.5222 loss_cls: 3.0304 loss_bbox: 1.4919 +2024/10/29 07:05:29 - mmengine - INFO - Epoch(train) [15][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:45:04 time: 0.4104 data_time: 0.0374 memory: 4652 grad_norm: 3.0274 loss: 4.5102 loss_cls: 2.9996 loss_bbox: 1.5106 +2024/10/29 07:05:49 - mmengine - INFO - Epoch(train) [15][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:44:35 time: 0.4036 data_time: 0.0367 memory: 4652 grad_norm: 2.6719 loss: 4.3999 loss_cls: 2.9373 loss_bbox: 1.4626 +2024/10/29 07:06:10 - mmengine - INFO - Epoch(train) [15][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:44:11 time: 0.4174 data_time: 0.0364 memory: 4652 grad_norm: 2.6625 loss: 4.4786 loss_cls: 3.0030 loss_bbox: 1.4757 +2024/10/29 07:06:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 07:06:11 - mmengine - INFO - Saving checkpoint at 15 epochs +2024/10/29 07:06:19 - mmengine - INFO - Epoch(val) [15][50/79] eta: 0:00:02 time: 0.0763 data_time: 0.0090 memory: 4652 +2024/10/29 07:06:39 - mmengine - INFO - Evaluating bbox... +2024/10/29 07:08:02 - mmengine - INFO - bbox_mAP_copypaste: 0.184 0.329 0.184 0.046 0.218 0.288 +2024/10/29 07:08:04 - mmengine - INFO - Epoch(val) [15][79/79] coco/bbox_mAP: 0.1840 coco/bbox_mAP_50: 0.3290 coco/bbox_mAP_75: 0.1840 coco/bbox_mAP_s: 0.0460 coco/bbox_mAP_m: 0.2180 coco/bbox_mAP_l: 0.2880 data_time: 0.0083 time: 0.0744 +2024/10/29 07:08:26 - mmengine - INFO - Epoch(train) [16][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:43:43 time: 0.4164 data_time: 0.0565 memory: 4652 grad_norm: 2.8157 loss: 4.5073 loss_cls: 2.9951 loss_bbox: 1.5122 +2024/10/29 07:08:47 - mmengine - INFO - Epoch(train) [16][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:43:17 time: 0.4103 data_time: 0.0386 memory: 4652 grad_norm: 2.6555 loss: 4.3818 loss_cls: 2.9535 loss_bbox: 1.4283 +2024/10/29 07:09:08 - mmengine - INFO - Epoch(train) [16][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:42:53 time: 0.4171 data_time: 0.0432 memory: 4652 grad_norm: 3.1791 loss: 4.4171 loss_cls: 2.9548 loss_bbox: 1.4623 +2024/10/29 07:09:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 07:09:29 - mmengine - INFO - Epoch(train) [16][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:42:29 time: 0.4172 data_time: 0.0374 memory: 4652 grad_norm: 2.8057 loss: 4.4647 loss_cls: 2.9829 loss_bbox: 1.4818 +2024/10/29 07:09:50 - mmengine - INFO - Epoch(train) [16][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:42:08 time: 0.4227 data_time: 0.0369 memory: 4652 grad_norm: 2.6849 loss: 4.4587 loss_cls: 2.9958 loss_bbox: 1.4629 +2024/10/29 07:10:10 - mmengine - INFO - Epoch(train) [16][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:41:40 time: 0.4084 data_time: 0.0366 memory: 4652 grad_norm: 2.7798 loss: 4.5340 loss_cls: 3.0434 loss_bbox: 1.4906 +2024/10/29 07:10:32 - mmengine - INFO - Epoch(train) [16][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:41:25 time: 0.4368 data_time: 0.0463 memory: 4652 grad_norm: 2.6195 loss: 4.3952 loss_cls: 2.9502 loss_bbox: 1.4450 +2024/10/29 07:10:52 - mmengine - INFO - Epoch(train) [16][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:40:56 time: 0.4046 data_time: 0.0363 memory: 4652 grad_norm: 2.7514 loss: 4.4738 loss_cls: 3.0103 loss_bbox: 1.4635 +2024/10/29 07:11:13 - mmengine - INFO - Epoch(train) [16][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:40:31 time: 0.4140 data_time: 0.0373 memory: 4652 grad_norm: 2.6543 loss: 4.4352 loss_cls: 2.9603 loss_bbox: 1.4749 +2024/10/29 07:11:34 - mmengine - INFO - Epoch(train) [16][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:40:11 time: 0.4259 data_time: 0.0371 memory: 4652 grad_norm: 2.9305 loss: 4.4336 loss_cls: 2.9884 loss_bbox: 1.4451 +2024/10/29 07:11:55 - mmengine - INFO - Epoch(train) [16][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:39:42 time: 0.4053 data_time: 0.0384 memory: 4652 grad_norm: 2.7321 loss: 4.4456 loss_cls: 2.9628 loss_bbox: 1.4828 +2024/10/29 07:12:16 - mmengine - INFO - Epoch(train) [16][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:39:22 time: 0.4273 data_time: 0.0391 memory: 4652 grad_norm: 2.7902 loss: 4.4429 loss_cls: 2.9875 loss_bbox: 1.4554 +2024/10/29 07:12:37 - mmengine - INFO - Epoch(train) [16][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:39:00 time: 0.4209 data_time: 0.0476 memory: 4652 grad_norm: 2.8541 loss: 4.4153 loss_cls: 2.9295 loss_bbox: 1.4859 +2024/10/29 07:12:58 - mmengine - INFO - Epoch(train) [16][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:38:37 time: 0.4181 data_time: 0.0374 memory: 4652 grad_norm: 2.8364 loss: 4.4436 loss_cls: 2.9368 loss_bbox: 1.5068 +2024/10/29 07:13:19 - mmengine - INFO - Epoch(train) [16][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:38:16 time: 0.4235 data_time: 0.0436 memory: 4652 grad_norm: 2.6936 loss: 4.4262 loss_cls: 2.9610 loss_bbox: 1.4652 +2024/10/29 07:13:40 - mmengine - INFO - Epoch(train) [16][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:37:51 time: 0.4135 data_time: 0.0376 memory: 4652 grad_norm: 2.6845 loss: 4.4893 loss_cls: 2.9764 loss_bbox: 1.5128 +2024/10/29 07:14:01 - mmengine - INFO - Epoch(train) [16][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:37:28 time: 0.4210 data_time: 0.0437 memory: 4652 grad_norm: 2.7611 loss: 4.4295 loss_cls: 2.9328 loss_bbox: 1.4967 +2024/10/29 07:14:22 - mmengine - INFO - Epoch(train) [16][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:37:04 time: 0.4162 data_time: 0.0455 memory: 4652 grad_norm: 2.8274 loss: 4.3420 loss_cls: 2.9113 loss_bbox: 1.4307 +2024/10/29 07:14:44 - mmengine - INFO - Epoch(train) [16][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:36:50 time: 0.4417 data_time: 0.0419 memory: 4652 grad_norm: 2.7345 loss: 4.4304 loss_cls: 2.9632 loss_bbox: 1.4672 +2024/10/29 07:15:06 - mmengine - INFO - Epoch(train) [16][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:36:37 time: 0.4437 data_time: 0.0398 memory: 4652 grad_norm: 2.7795 loss: 4.3917 loss_cls: 2.9417 loss_bbox: 1.4500 +2024/10/29 07:15:27 - mmengine - INFO - Epoch(train) [16][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:36:19 time: 0.4305 data_time: 0.0393 memory: 4652 grad_norm: 2.6891 loss: 4.5665 loss_cls: 3.0551 loss_bbox: 1.5114 +2024/10/29 07:15:50 - mmengine - INFO - Epoch(train) [16][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:36:09 time: 0.4533 data_time: 0.0438 memory: 4652 grad_norm: 2.6369 loss: 4.5152 loss_cls: 3.0049 loss_bbox: 1.5103 +2024/10/29 07:16:11 - mmengine - INFO - Epoch(train) [16][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:35:46 time: 0.4192 data_time: 0.0387 memory: 4652 grad_norm: 2.9035 loss: 4.4447 loss_cls: 2.9856 loss_bbox: 1.4591 +2024/10/29 07:16:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 07:16:33 - mmengine - INFO - Epoch(train) [16][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:35:29 time: 0.4335 data_time: 0.0385 memory: 4652 grad_norm: 2.8775 loss: 4.4990 loss_cls: 3.0421 loss_bbox: 1.4569 +2024/10/29 07:16:56 - mmengine - INFO - Epoch(train) [16][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:35:20 time: 0.4557 data_time: 0.0530 memory: 4652 grad_norm: 2.7892 loss: 4.3964 loss_cls: 2.9280 loss_bbox: 1.4683 +2024/10/29 07:17:18 - mmengine - INFO - Epoch(train) [16][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:35:06 time: 0.4406 data_time: 0.0411 memory: 4652 grad_norm: 2.8590 loss: 4.4471 loss_cls: 2.9753 loss_bbox: 1.4719 +2024/10/29 07:17:40 - mmengine - INFO - Epoch(train) [16][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:34:56 time: 0.4526 data_time: 0.0543 memory: 4652 grad_norm: 2.5372 loss: 4.5067 loss_cls: 3.0018 loss_bbox: 1.5049 +2024/10/29 07:18:02 - mmengine - INFO - Epoch(train) [16][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:34:40 time: 0.4370 data_time: 0.0379 memory: 4652 grad_norm: 2.7747 loss: 4.5084 loss_cls: 3.0350 loss_bbox: 1.4734 +2024/10/29 07:18:28 - mmengine - INFO - Epoch(train) [16][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:34:55 time: 0.5185 data_time: 0.1087 memory: 4652 grad_norm: 2.8080 loss: 4.5190 loss_cls: 3.0057 loss_bbox: 1.5133 +2024/10/29 07:18:50 - mmengine - INFO - Epoch(train) [16][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:34:42 time: 0.4448 data_time: 0.0455 memory: 4652 grad_norm: 2.8411 loss: 4.4821 loss_cls: 2.9922 loss_bbox: 1.4899 +2024/10/29 07:19:13 - mmengine - INFO - Epoch(train) [16][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:34:32 time: 0.4516 data_time: 0.0433 memory: 4652 grad_norm: 2.7443 loss: 4.5633 loss_cls: 3.0235 loss_bbox: 1.5397 +2024/10/29 07:19:35 - mmengine - INFO - Epoch(train) [16][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:34:14 time: 0.4343 data_time: 0.0384 memory: 4652 grad_norm: 2.7425 loss: 4.4629 loss_cls: 2.9882 loss_bbox: 1.4747 +2024/10/29 07:19:57 - mmengine - INFO - Epoch(train) [16][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:34:01 time: 0.4427 data_time: 0.0475 memory: 4652 grad_norm: 2.9919 loss: 4.5201 loss_cls: 3.0400 loss_bbox: 1.4801 +2024/10/29 07:20:19 - mmengine - INFO - Epoch(train) [16][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:33:45 time: 0.4388 data_time: 0.0370 memory: 4652 grad_norm: 2.8489 loss: 4.4431 loss_cls: 2.9771 loss_bbox: 1.4660 +2024/10/29 07:20:41 - mmengine - INFO - Epoch(train) [16][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:33:33 time: 0.4469 data_time: 0.0430 memory: 4652 grad_norm: 2.7554 loss: 4.3067 loss_cls: 2.8938 loss_bbox: 1.4130 +2024/10/29 07:21:03 - mmengine - INFO - Epoch(train) [16][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:33:20 time: 0.4450 data_time: 0.0521 memory: 4652 grad_norm: 2.6433 loss: 4.5309 loss_cls: 3.0436 loss_bbox: 1.4874 +2024/10/29 07:21:28 - mmengine - INFO - Epoch(train) [16][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:33:26 time: 0.4963 data_time: 0.0842 memory: 4652 grad_norm: 2.7848 loss: 4.4763 loss_cls: 3.0175 loss_bbox: 1.4588 +2024/10/29 07:21:50 - mmengine - INFO - Epoch(train) [16][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:33:11 time: 0.4388 data_time: 0.0391 memory: 4652 grad_norm: 2.6007 loss: 4.3454 loss_cls: 2.8999 loss_bbox: 1.4455 +2024/10/29 07:22:12 - mmengine - INFO - Epoch(train) [16][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:32:52 time: 0.4313 data_time: 0.0399 memory: 4652 grad_norm: 2.6936 loss: 4.5086 loss_cls: 3.0198 loss_bbox: 1.4888 +2024/10/29 07:22:33 - mmengine - INFO - Epoch(train) [16][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:32:36 time: 0.4366 data_time: 0.0405 memory: 4652 grad_norm: 2.5593 loss: 4.4954 loss_cls: 3.0091 loss_bbox: 1.4863 +2024/10/29 07:22:55 - mmengine - INFO - Epoch(train) [16][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:32:16 time: 0.4281 data_time: 0.0380 memory: 4652 grad_norm: 2.8773 loss: 4.4021 loss_cls: 2.9579 loss_bbox: 1.4441 +2024/10/29 07:23:17 - mmengine - INFO - Epoch(train) [16][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:32:04 time: 0.4489 data_time: 0.0462 memory: 4652 grad_norm: 2.8010 loss: 4.5133 loss_cls: 3.0401 loss_bbox: 1.4732 +2024/10/29 07:23:40 - mmengine - INFO - Epoch(train) [16][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:31:52 time: 0.4487 data_time: 0.0417 memory: 4652 grad_norm: 2.8632 loss: 4.4425 loss_cls: 2.9706 loss_bbox: 1.4718 +2024/10/29 07:23:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 07:24:02 - mmengine - INFO - Epoch(train) [16][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:31:40 time: 0.4466 data_time: 0.0384 memory: 4652 grad_norm: 2.7272 loss: 4.4473 loss_cls: 2.9567 loss_bbox: 1.4906 +2024/10/29 07:24:27 - mmengine - INFO - Epoch(train) [16][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:31:44 time: 0.4922 data_time: 0.0913 memory: 4652 grad_norm: 2.7524 loss: 4.4843 loss_cls: 2.9792 loss_bbox: 1.5051 +2024/10/29 07:24:49 - mmengine - INFO - Epoch(train) [16][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:31:30 time: 0.4430 data_time: 0.0460 memory: 4652 grad_norm: 2.9054 loss: 4.5110 loss_cls: 3.0174 loss_bbox: 1.4936 +2024/10/29 07:25:11 - mmengine - INFO - Epoch(train) [16][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:31:18 time: 0.4473 data_time: 0.0454 memory: 4652 grad_norm: 2.7069 loss: 4.3783 loss_cls: 2.9662 loss_bbox: 1.4121 +2024/10/29 07:25:33 - mmengine - INFO - Epoch(train) [16][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:31:02 time: 0.4389 data_time: 0.0390 memory: 4652 grad_norm: 2.6345 loss: 4.4765 loss_cls: 2.9779 loss_bbox: 1.4986 +2024/10/29 07:25:55 - mmengine - INFO - Epoch(train) [16][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:30:48 time: 0.4437 data_time: 0.0429 memory: 4652 grad_norm: 2.7299 loss: 4.5615 loss_cls: 3.0347 loss_bbox: 1.5268 +2024/10/29 07:26:18 - mmengine - INFO - Epoch(train) [16][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:30:39 time: 0.4579 data_time: 0.0408 memory: 4652 grad_norm: 2.6823 loss: 4.5297 loss_cls: 3.0036 loss_bbox: 1.5261 +2024/10/29 07:26:40 - mmengine - INFO - Epoch(train) [16][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:30:22 time: 0.4351 data_time: 0.0386 memory: 4652 grad_norm: 2.9154 loss: 4.4229 loss_cls: 2.9865 loss_bbox: 1.4363 +2024/10/29 07:27:02 - mmengine - INFO - Epoch(train) [16][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:30:07 time: 0.4407 data_time: 0.0459 memory: 4652 grad_norm: 2.6661 loss: 4.5451 loss_cls: 3.0299 loss_bbox: 1.5152 +2024/10/29 07:27:27 - mmengine - INFO - Epoch(train) [16][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:30:13 time: 0.4978 data_time: 0.0940 memory: 4652 grad_norm: 2.9503 loss: 4.4816 loss_cls: 3.0053 loss_bbox: 1.4763 +2024/10/29 07:27:49 - mmengine - INFO - Epoch(train) [16][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:30:01 time: 0.4474 data_time: 0.0393 memory: 4652 grad_norm: 2.8475 loss: 4.4299 loss_cls: 2.9712 loss_bbox: 1.4587 +2024/10/29 07:28:12 - mmengine - INFO - Epoch(train) [16][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:29:54 time: 0.4635 data_time: 0.0425 memory: 4652 grad_norm: 2.8114 loss: 4.3882 loss_cls: 2.9417 loss_bbox: 1.4465 +2024/10/29 07:28:34 - mmengine - INFO - Epoch(train) [16][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:29:35 time: 0.4314 data_time: 0.0386 memory: 4652 grad_norm: 2.5937 loss: 4.4455 loss_cls: 2.9506 loss_bbox: 1.4949 +2024/10/29 07:28:56 - mmengine - INFO - Epoch(train) [16][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:29:22 time: 0.4468 data_time: 0.0391 memory: 4652 grad_norm: 2.4987 loss: 4.4246 loss_cls: 2.9711 loss_bbox: 1.4534 +2024/10/29 07:29:19 - mmengine - INFO - Epoch(train) [16][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:29:08 time: 0.4437 data_time: 0.0423 memory: 4652 grad_norm: 2.6721 loss: 4.5165 loss_cls: 3.0284 loss_bbox: 1.4881 +2024/10/29 07:29:40 - mmengine - INFO - Epoch(train) [16][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:28:48 time: 0.4268 data_time: 0.0384 memory: 4652 grad_norm: 2.7469 loss: 4.5448 loss_cls: 3.0525 loss_bbox: 1.4922 +2024/10/29 07:30:03 - mmengine - INFO - Epoch(train) [16][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:28:38 time: 0.4562 data_time: 0.0390 memory: 4652 grad_norm: 2.7580 loss: 4.3682 loss_cls: 2.9328 loss_bbox: 1.4354 +2024/10/29 07:30:28 - mmengine - INFO - Epoch(train) [16][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:28:45 time: 0.5008 data_time: 0.1065 memory: 4652 grad_norm: 2.6692 loss: 4.4928 loss_cls: 2.9885 loss_bbox: 1.5043 +2024/10/29 07:30:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 07:30:29 - mmengine - INFO - Saving checkpoint at 16 epochs +2024/10/29 07:30:55 - mmengine - INFO - Epoch(train) [17][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:28:26 time: 0.4401 data_time: 0.0603 memory: 4652 grad_norm: 2.8338 loss: 4.4410 loss_cls: 2.9785 loss_bbox: 1.4625 +2024/10/29 07:31:16 - mmengine - INFO - Epoch(train) [17][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:28:04 time: 0.4210 data_time: 0.0378 memory: 4652 grad_norm: 2.9060 loss: 4.4807 loss_cls: 2.9964 loss_bbox: 1.4843 +2024/10/29 07:31:31 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 07:31:37 - mmengine - INFO - Epoch(train) [17][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:27:40 time: 0.4195 data_time: 0.0392 memory: 4652 grad_norm: 2.6817 loss: 4.3967 loss_cls: 2.9424 loss_bbox: 1.4543 +2024/10/29 07:31:59 - mmengine - INFO - Epoch(train) [17][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:27:19 time: 0.4253 data_time: 0.0387 memory: 4652 grad_norm: 2.8558 loss: 4.4601 loss_cls: 2.9721 loss_bbox: 1.4880 +2024/10/29 07:32:19 - mmengine - INFO - Epoch(train) [17][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:26:55 time: 0.4155 data_time: 0.0382 memory: 4652 grad_norm: 2.6865 loss: 4.5252 loss_cls: 3.0298 loss_bbox: 1.4954 +2024/10/29 07:32:40 - mmengine - INFO - Epoch(train) [17][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:26:31 time: 0.4177 data_time: 0.0416 memory: 4652 grad_norm: 2.7918 loss: 4.4803 loss_cls: 2.9982 loss_bbox: 1.4820 +2024/10/29 07:33:02 - mmengine - INFO - Epoch(train) [17][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:26:11 time: 0.4286 data_time: 0.0424 memory: 4652 grad_norm: 2.9510 loss: 4.4597 loss_cls: 2.9410 loss_bbox: 1.5187 +2024/10/29 07:33:26 - mmengine - INFO - Epoch(train) [17][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:26:09 time: 0.4760 data_time: 0.1059 memory: 4652 grad_norm: 2.5990 loss: 4.4136 loss_cls: 2.9706 loss_bbox: 1.4430 +2024/10/29 07:33:47 - mmengine - INFO - Epoch(train) [17][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:25:49 time: 0.4288 data_time: 0.0389 memory: 4652 grad_norm: 2.7528 loss: 4.4075 loss_cls: 2.9679 loss_bbox: 1.4396 +2024/10/29 07:34:08 - mmengine - INFO - Epoch(train) [17][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:25:25 time: 0.4184 data_time: 0.0458 memory: 4652 grad_norm: 2.6659 loss: 4.4701 loss_cls: 2.9605 loss_bbox: 1.5097 +2024/10/29 07:34:29 - mmengine - INFO - Epoch(train) [17][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:25:01 time: 0.4172 data_time: 0.0443 memory: 4652 grad_norm: 2.7122 loss: 4.5691 loss_cls: 3.0322 loss_bbox: 1.5369 +2024/10/29 07:34:49 - mmengine - INFO - Epoch(train) [17][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:24:35 time: 0.4111 data_time: 0.0399 memory: 4652 grad_norm: 2.8470 loss: 4.4096 loss_cls: 2.9631 loss_bbox: 1.4466 +2024/10/29 07:35:10 - mmengine - INFO - Epoch(train) [17][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:24:12 time: 0.4214 data_time: 0.0493 memory: 4652 grad_norm: 2.7574 loss: 4.4717 loss_cls: 2.9892 loss_bbox: 1.4825 +2024/10/29 07:35:32 - mmengine - INFO - Epoch(train) [17][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:23:52 time: 0.4278 data_time: 0.0393 memory: 4652 grad_norm: 2.8203 loss: 4.4252 loss_cls: 2.9652 loss_bbox: 1.4601 +2024/10/29 07:35:52 - mmengine - INFO - Epoch(train) [17][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:23:25 time: 0.4083 data_time: 0.0433 memory: 4652 grad_norm: 2.7378 loss: 4.4165 loss_cls: 2.9465 loss_bbox: 1.4700 +2024/10/29 07:36:13 - mmengine - INFO - Epoch(train) [17][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:23:03 time: 0.4223 data_time: 0.0401 memory: 4652 grad_norm: 2.6923 loss: 4.5403 loss_cls: 3.0353 loss_bbox: 1.5050 +2024/10/29 07:36:34 - mmengine - INFO - Epoch(train) [17][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:22:37 time: 0.4108 data_time: 0.0379 memory: 4652 grad_norm: 2.9368 loss: 4.4383 loss_cls: 2.9280 loss_bbox: 1.5103 +2024/10/29 07:36:55 - mmengine - INFO - Epoch(train) [17][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:22:13 time: 0.4192 data_time: 0.0387 memory: 4652 grad_norm: 2.8530 loss: 4.5018 loss_cls: 3.0326 loss_bbox: 1.4692 +2024/10/29 07:37:16 - mmengine - INFO - Epoch(train) [17][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:21:54 time: 0.4289 data_time: 0.0426 memory: 4652 grad_norm: 2.6382 loss: 4.4545 loss_cls: 2.9647 loss_bbox: 1.4898 +2024/10/29 07:37:37 - mmengine - INFO - Epoch(train) [17][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:21:25 time: 0.4054 data_time: 0.0382 memory: 4652 grad_norm: 2.7743 loss: 4.3960 loss_cls: 2.9685 loss_bbox: 1.4275 +2024/10/29 07:37:58 - mmengine - INFO - Epoch(train) [17][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:21:08 time: 0.4359 data_time: 0.0424 memory: 4652 grad_norm: 2.9257 loss: 4.5114 loss_cls: 3.0299 loss_bbox: 1.4815 +2024/10/29 07:38:19 - mmengine - INFO - Epoch(train) [17][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:20:41 time: 0.4078 data_time: 0.0437 memory: 4652 grad_norm: 2.6150 loss: 4.5590 loss_cls: 3.0544 loss_bbox: 1.5046 +2024/10/29 07:38:33 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 07:38:39 - mmengine - INFO - Epoch(train) [17][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:20:16 time: 0.4139 data_time: 0.0436 memory: 4652 grad_norm: 2.6554 loss: 4.5595 loss_cls: 3.0161 loss_bbox: 1.5434 +2024/10/29 07:39:00 - mmengine - INFO - Epoch(train) [17][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:19:53 time: 0.4198 data_time: 0.0436 memory: 4652 grad_norm: 2.4641 loss: 4.4105 loss_cls: 2.9768 loss_bbox: 1.4337 +2024/10/29 07:39:21 - mmengine - INFO - Epoch(train) [17][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:19:28 time: 0.4159 data_time: 0.0431 memory: 4652 grad_norm: 2.7933 loss: 4.5676 loss_cls: 3.0709 loss_bbox: 1.4967 +2024/10/29 07:39:42 - mmengine - INFO - Epoch(train) [17][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:19:06 time: 0.4227 data_time: 0.0454 memory: 4652 grad_norm: 2.5138 loss: 4.5140 loss_cls: 3.0230 loss_bbox: 1.4910 +2024/10/29 07:40:03 - mmengine - INFO - Epoch(train) [17][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:18:40 time: 0.4102 data_time: 0.0383 memory: 4652 grad_norm: 2.4711 loss: 4.5140 loss_cls: 3.0070 loss_bbox: 1.5070 +2024/10/29 07:40:27 - mmengine - INFO - Epoch(train) [17][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:18:35 time: 0.4717 data_time: 0.0911 memory: 4652 grad_norm: 2.9781 loss: 4.5051 loss_cls: 2.9989 loss_bbox: 1.5062 +2024/10/29 07:40:47 - mmengine - INFO - Epoch(train) [17][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:18:10 time: 0.4140 data_time: 0.0411 memory: 4652 grad_norm: 2.8902 loss: 4.4119 loss_cls: 2.9451 loss_bbox: 1.4668 +2024/10/29 07:41:08 - mmengine - INFO - Epoch(train) [17][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:17:44 time: 0.4110 data_time: 0.0393 memory: 4652 grad_norm: 2.7483 loss: 4.5659 loss_cls: 3.0412 loss_bbox: 1.5247 +2024/10/29 07:41:30 - mmengine - INFO - Epoch(train) [17][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:17:31 time: 0.4470 data_time: 0.0498 memory: 4652 grad_norm: 2.6466 loss: 4.4758 loss_cls: 2.9805 loss_bbox: 1.4953 +2024/10/29 07:41:50 - mmengine - INFO - Epoch(train) [17][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:17:00 time: 0.3987 data_time: 0.0381 memory: 4652 grad_norm: 2.8080 loss: 4.4233 loss_cls: 2.9820 loss_bbox: 1.4413 +2024/10/29 07:42:11 - mmengine - INFO - Epoch(train) [17][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:16:36 time: 0.4153 data_time: 0.0392 memory: 4652 grad_norm: 2.6767 loss: 4.4664 loss_cls: 2.9442 loss_bbox: 1.5222 +2024/10/29 07:42:32 - mmengine - INFO - Epoch(train) [17][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:16:12 time: 0.4182 data_time: 0.0530 memory: 4652 grad_norm: 2.6101 loss: 4.4387 loss_cls: 2.9597 loss_bbox: 1.4789 +2024/10/29 07:42:52 - mmengine - INFO - Epoch(train) [17][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:15:46 time: 0.4114 data_time: 0.0392 memory: 4652 grad_norm: 2.6579 loss: 4.4144 loss_cls: 2.9381 loss_bbox: 1.4763 +2024/10/29 07:43:13 - mmengine - INFO - Epoch(train) [17][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:15:24 time: 0.4220 data_time: 0.0383 memory: 4652 grad_norm: 2.9941 loss: 4.4290 loss_cls: 2.9614 loss_bbox: 1.4676 +2024/10/29 07:43:34 - mmengine - INFO - Epoch(train) [17][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:14:57 time: 0.4079 data_time: 0.0425 memory: 4652 grad_norm: 2.9285 loss: 4.4641 loss_cls: 2.9858 loss_bbox: 1.4783 +2024/10/29 07:43:55 - mmengine - INFO - Epoch(train) [17][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:14:35 time: 0.4227 data_time: 0.0378 memory: 4652 grad_norm: 2.8635 loss: 4.4715 loss_cls: 2.9795 loss_bbox: 1.4920 +2024/10/29 07:44:15 - mmengine - INFO - Epoch(train) [17][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:14:04 time: 0.3977 data_time: 0.0397 memory: 4652 grad_norm: 2.6773 loss: 4.3832 loss_cls: 2.9455 loss_bbox: 1.4377 +2024/10/29 07:44:36 - mmengine - INFO - Epoch(train) [17][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:13:39 time: 0.4144 data_time: 0.0404 memory: 4652 grad_norm: 2.7515 loss: 4.4927 loss_cls: 2.9760 loss_bbox: 1.5167 +2024/10/29 07:44:56 - mmengine - INFO - Epoch(train) [17][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:13:12 time: 0.4085 data_time: 0.0389 memory: 4652 grad_norm: 2.5563 loss: 4.4356 loss_cls: 2.9776 loss_bbox: 1.4581 +2024/10/29 07:45:16 - mmengine - INFO - Epoch(train) [17][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:12:42 time: 0.3994 data_time: 0.0384 memory: 4652 grad_norm: 2.5291 loss: 4.6480 loss_cls: 3.1059 loss_bbox: 1.5421 +2024/10/29 07:45:31 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 07:45:38 - mmengine - INFO - Epoch(train) [17][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:12:23 time: 0.4305 data_time: 0.0426 memory: 4652 grad_norm: 2.6546 loss: 4.4447 loss_cls: 2.9772 loss_bbox: 1.4675 +2024/10/29 07:45:58 - mmengine - INFO - Epoch(train) [17][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:11:54 time: 0.4021 data_time: 0.0396 memory: 4652 grad_norm: 2.8388 loss: 4.4754 loss_cls: 2.9912 loss_bbox: 1.4842 +2024/10/29 07:46:19 - mmengine - INFO - Epoch(train) [17][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:11:31 time: 0.4180 data_time: 0.0441 memory: 4652 grad_norm: 2.6000 loss: 4.5496 loss_cls: 3.0014 loss_bbox: 1.5482 +2024/10/29 07:46:39 - mmengine - INFO - Epoch(train) [17][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:11:06 time: 0.4157 data_time: 0.0399 memory: 4652 grad_norm: 2.7294 loss: 4.4217 loss_cls: 2.9567 loss_bbox: 1.4650 +2024/10/29 07:47:00 - mmengine - INFO - Epoch(train) [17][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:10:40 time: 0.4109 data_time: 0.0428 memory: 4652 grad_norm: 2.8469 loss: 4.5167 loss_cls: 3.0749 loss_bbox: 1.4418 +2024/10/29 07:47:20 - mmengine - INFO - Epoch(train) [17][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:10:14 time: 0.4115 data_time: 0.0448 memory: 4652 grad_norm: 2.8642 loss: 4.5012 loss_cls: 2.9900 loss_bbox: 1.5112 +2024/10/29 07:47:41 - mmengine - INFO - Epoch(train) [17][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:09:52 time: 0.4205 data_time: 0.0473 memory: 4652 grad_norm: 2.7446 loss: 4.5083 loss_cls: 3.0264 loss_bbox: 1.4819 +2024/10/29 07:48:02 - mmengine - INFO - Epoch(train) [17][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:09:26 time: 0.4107 data_time: 0.0464 memory: 4652 grad_norm: 2.7933 loss: 4.4236 loss_cls: 2.9739 loss_bbox: 1.4497 +2024/10/29 07:48:25 - mmengine - INFO - Epoch(train) [17][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:09:19 time: 0.4662 data_time: 0.0981 memory: 4652 grad_norm: 2.7870 loss: 4.3832 loss_cls: 2.9191 loss_bbox: 1.4641 +2024/10/29 07:48:46 - mmengine - INFO - Epoch(train) [17][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:08:53 time: 0.4110 data_time: 0.0503 memory: 4652 grad_norm: 2.8064 loss: 4.4397 loss_cls: 2.9755 loss_bbox: 1.4642 +2024/10/29 07:49:07 - mmengine - INFO - Epoch(train) [17][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:08:29 time: 0.4159 data_time: 0.0386 memory: 4652 grad_norm: 2.8790 loss: 4.4570 loss_cls: 2.9507 loss_bbox: 1.5062 +2024/10/29 07:49:27 - mmengine - INFO - Epoch(train) [17][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:07:59 time: 0.3983 data_time: 0.0396 memory: 4652 grad_norm: 2.6168 loss: 4.4761 loss_cls: 2.9898 loss_bbox: 1.4863 +2024/10/29 07:49:48 - mmengine - INFO - Epoch(train) [17][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:07:39 time: 0.4288 data_time: 0.0492 memory: 4652 grad_norm: 2.8217 loss: 4.4533 loss_cls: 2.9541 loss_bbox: 1.4991 +2024/10/29 07:50:08 - mmengine - INFO - Epoch(train) [17][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:07:10 time: 0.4038 data_time: 0.0382 memory: 4652 grad_norm: 2.8196 loss: 4.5571 loss_cls: 3.0055 loss_bbox: 1.5516 +2024/10/29 07:50:29 - mmengine - INFO - Epoch(train) [17][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:06:43 time: 0.4060 data_time: 0.0388 memory: 4652 grad_norm: 2.8445 loss: 4.4481 loss_cls: 2.9696 loss_bbox: 1.4785 +2024/10/29 07:50:49 - mmengine - INFO - Epoch(train) [17][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:06:18 time: 0.4131 data_time: 0.0400 memory: 4652 grad_norm: 2.7214 loss: 4.4562 loss_cls: 2.9475 loss_bbox: 1.5087 +2024/10/29 07:51:10 - mmengine - INFO - Epoch(train) [17][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:05:50 time: 0.4068 data_time: 0.0446 memory: 4652 grad_norm: 2.7925 loss: 4.4788 loss_cls: 2.9986 loss_bbox: 1.4803 +2024/10/29 07:51:30 - mmengine - INFO - Epoch(train) [17][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:05:27 time: 0.4183 data_time: 0.0384 memory: 4652 grad_norm: 2.6455 loss: 4.4240 loss_cls: 2.9511 loss_bbox: 1.4729 +2024/10/29 07:51:50 - mmengine - INFO - Epoch(train) [17][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:04:57 time: 0.3999 data_time: 0.0400 memory: 4652 grad_norm: 2.8338 loss: 4.5103 loss_cls: 2.9791 loss_bbox: 1.5312 +2024/10/29 07:51:52 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 07:51:52 - mmengine - INFO - Saving checkpoint at 17 epochs +2024/10/29 07:52:18 - mmengine - INFO - Epoch(train) [18][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:04:39 time: 0.4408 data_time: 0.0562 memory: 4652 grad_norm: 2.6547 loss: 4.3805 loss_cls: 2.9320 loss_bbox: 1.4485 +2024/10/29 07:52:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 07:52:39 - mmengine - INFO - Epoch(train) [18][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:04:15 time: 0.4154 data_time: 0.0413 memory: 4652 grad_norm: 2.7224 loss: 4.4313 loss_cls: 2.9821 loss_bbox: 1.4492 +2024/10/29 07:53:00 - mmengine - INFO - Epoch(train) [18][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:03:52 time: 0.4181 data_time: 0.0463 memory: 4652 grad_norm: 2.6728 loss: 4.5583 loss_cls: 3.0314 loss_bbox: 1.5269 +2024/10/29 07:53:21 - mmengine - INFO - Epoch(train) [18][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:03:28 time: 0.4163 data_time: 0.0393 memory: 4652 grad_norm: 2.9152 loss: 4.3560 loss_cls: 2.9003 loss_bbox: 1.4557 +2024/10/29 07:53:41 - mmengine - INFO - Epoch(train) [18][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:03:01 time: 0.4076 data_time: 0.0380 memory: 4652 grad_norm: 2.7934 loss: 4.4337 loss_cls: 2.9908 loss_bbox: 1.4428 +2024/10/29 07:54:03 - mmengine - INFO - Epoch(train) [18][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:02:40 time: 0.4261 data_time: 0.0382 memory: 4652 grad_norm: 2.6734 loss: 4.4922 loss_cls: 3.0087 loss_bbox: 1.4835 +2024/10/29 07:54:27 - mmengine - INFO - Epoch(train) [18][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:02:40 time: 0.4877 data_time: 0.0973 memory: 4652 grad_norm: 2.8576 loss: 4.4948 loss_cls: 3.0037 loss_bbox: 1.4912 +2024/10/29 07:54:48 - mmengine - INFO - Epoch(train) [18][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:02:20 time: 0.4273 data_time: 0.0394 memory: 4652 grad_norm: 2.7806 loss: 4.4297 loss_cls: 2.9385 loss_bbox: 1.4912 +2024/10/29 07:55:10 - mmengine - INFO - Epoch(train) [18][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:01:59 time: 0.4249 data_time: 0.0385 memory: 4652 grad_norm: 2.5499 loss: 4.4221 loss_cls: 3.0130 loss_bbox: 1.4091 +2024/10/29 07:55:31 - mmengine - INFO - Epoch(train) [18][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:01:36 time: 0.4191 data_time: 0.0396 memory: 4652 grad_norm: 2.7223 loss: 4.3742 loss_cls: 2.9011 loss_bbox: 1.4731 +2024/10/29 07:55:52 - mmengine - INFO - Epoch(train) [18][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:01:13 time: 0.4187 data_time: 0.0390 memory: 4652 grad_norm: 2.8912 loss: 4.5491 loss_cls: 3.0137 loss_bbox: 1.5354 +2024/10/29 07:56:14 - mmengine - INFO - Epoch(train) [18][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:00:56 time: 0.4383 data_time: 0.0393 memory: 4652 grad_norm: 3.0552 loss: 4.3444 loss_cls: 2.8792 loss_bbox: 1.4652 +2024/10/29 07:56:35 - mmengine - INFO - Epoch(train) [18][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:00:40 time: 0.4389 data_time: 0.0494 memory: 4652 grad_norm: 2.9052 loss: 4.5532 loss_cls: 3.0467 loss_bbox: 1.5064 +2024/10/29 07:56:57 - mmengine - INFO - Epoch(train) [18][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:00:22 time: 0.4342 data_time: 0.0405 memory: 4652 grad_norm: 2.7016 loss: 4.5034 loss_cls: 2.9936 loss_bbox: 1.5098 +2024/10/29 07:57:19 - mmengine - INFO - Epoch(train) [18][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 13:00:04 time: 0.4330 data_time: 0.0467 memory: 4652 grad_norm: 2.7429 loss: 4.4346 loss_cls: 2.9249 loss_bbox: 1.5097 +2024/10/29 07:57:40 - mmengine - INFO - Epoch(train) [18][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:59:45 time: 0.4317 data_time: 0.0386 memory: 4652 grad_norm: 2.7078 loss: 4.4184 loss_cls: 2.9690 loss_bbox: 1.4494 +2024/10/29 07:58:02 - mmengine - INFO - Epoch(train) [18][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:59:26 time: 0.4313 data_time: 0.0384 memory: 4652 grad_norm: 2.7246 loss: 4.5599 loss_cls: 3.0212 loss_bbox: 1.5387 +2024/10/29 07:58:28 - mmengine - INFO - Epoch(train) [18][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:59:37 time: 0.5212 data_time: 0.1180 memory: 4652 grad_norm: 2.5881 loss: 4.4517 loss_cls: 2.9806 loss_bbox: 1.4711 +2024/10/29 07:58:50 - mmengine - INFO - Epoch(train) [18][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:59:22 time: 0.4434 data_time: 0.0420 memory: 4652 grad_norm: 2.6916 loss: 4.4994 loss_cls: 3.0208 loss_bbox: 1.4786 +2024/10/29 07:59:13 - mmengine - INFO - Epoch(train) [18][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:59:11 time: 0.4527 data_time: 0.0386 memory: 4652 grad_norm: 2.6975 loss: 4.4524 loss_cls: 2.9634 loss_bbox: 1.4890 +2024/10/29 07:59:35 - mmengine - INFO - Epoch(train) [18][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:58:53 time: 0.4351 data_time: 0.0435 memory: 4652 grad_norm: 2.7300 loss: 4.4929 loss_cls: 2.9714 loss_bbox: 1.5215 +2024/10/29 07:59:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 07:59:56 - mmengine - INFO - Epoch(train) [18][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:58:34 time: 0.4318 data_time: 0.0383 memory: 4652 grad_norm: 2.9218 loss: 4.5011 loss_cls: 3.0102 loss_bbox: 1.4909 +2024/10/29 08:00:18 - mmengine - INFO - Epoch(train) [18][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:58:18 time: 0.4392 data_time: 0.0457 memory: 4652 grad_norm: 2.6557 loss: 4.5049 loss_cls: 3.0071 loss_bbox: 1.4977 +2024/10/29 08:00:40 - mmengine - INFO - Epoch(train) [18][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:58:01 time: 0.4375 data_time: 0.0386 memory: 4652 grad_norm: 2.7100 loss: 4.5090 loss_cls: 3.0091 loss_bbox: 1.4999 +2024/10/29 08:01:02 - mmengine - INFO - Epoch(train) [18][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:57:41 time: 0.4306 data_time: 0.0426 memory: 4652 grad_norm: 2.9733 loss: 4.5283 loss_cls: 3.0205 loss_bbox: 1.5078 +2024/10/29 08:01:26 - mmengine - INFO - Epoch(train) [18][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:57:42 time: 0.4904 data_time: 0.1108 memory: 4652 grad_norm: 2.6767 loss: 4.4148 loss_cls: 2.9624 loss_bbox: 1.4523 +2024/10/29 08:01:47 - mmengine - INFO - Epoch(train) [18][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:57:17 time: 0.4143 data_time: 0.0386 memory: 4652 grad_norm: 2.6585 loss: 4.5792 loss_cls: 3.0768 loss_bbox: 1.5024 +2024/10/29 08:02:08 - mmengine - INFO - Epoch(train) [18][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:56:53 time: 0.4143 data_time: 0.0386 memory: 4652 grad_norm: 2.7695 loss: 4.4013 loss_cls: 2.9393 loss_bbox: 1.4620 +2024/10/29 08:02:29 - mmengine - INFO - Epoch(train) [18][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:56:31 time: 0.4242 data_time: 0.0387 memory: 4652 grad_norm: 2.7481 loss: 4.4353 loss_cls: 2.9888 loss_bbox: 1.4465 +2024/10/29 08:02:50 - mmengine - INFO - Epoch(train) [18][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:56:09 time: 0.4207 data_time: 0.0392 memory: 4652 grad_norm: 2.6322 loss: 4.3874 loss_cls: 2.9348 loss_bbox: 1.4526 +2024/10/29 08:03:12 - mmengine - INFO - Epoch(train) [18][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:55:50 time: 0.4337 data_time: 0.0434 memory: 4652 grad_norm: 2.6865 loss: 4.4208 loss_cls: 2.9464 loss_bbox: 1.4744 +2024/10/29 08:03:32 - mmengine - INFO - Epoch(train) [18][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:55:26 time: 0.4153 data_time: 0.0441 memory: 4652 grad_norm: 2.6586 loss: 4.4378 loss_cls: 2.9578 loss_bbox: 1.4800 +2024/10/29 08:03:53 - mmengine - INFO - Epoch(train) [18][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:55:03 time: 0.4201 data_time: 0.0387 memory: 4652 grad_norm: 2.8219 loss: 4.4334 loss_cls: 2.9784 loss_bbox: 1.4550 +2024/10/29 08:04:14 - mmengine - INFO - Epoch(train) [18][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:54:41 time: 0.4232 data_time: 0.0388 memory: 4652 grad_norm: 2.5899 loss: 4.4224 loss_cls: 2.9415 loss_bbox: 1.4809 +2024/10/29 08:04:35 - mmengine - INFO - Epoch(train) [18][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:54:16 time: 0.4135 data_time: 0.0382 memory: 4652 grad_norm: 2.9530 loss: 4.4664 loss_cls: 2.9816 loss_bbox: 1.4848 +2024/10/29 08:04:57 - mmengine - INFO - Epoch(train) [18][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:53:58 time: 0.4338 data_time: 0.0378 memory: 4652 grad_norm: 2.5256 loss: 4.4094 loss_cls: 2.9406 loss_bbox: 1.4687 +2024/10/29 08:05:18 - mmengine - INFO - Epoch(train) [18][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:53:36 time: 0.4205 data_time: 0.0478 memory: 4652 grad_norm: 2.6935 loss: 4.4597 loss_cls: 2.9973 loss_bbox: 1.4624 +2024/10/29 08:05:39 - mmengine - INFO - Epoch(train) [18][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:53:12 time: 0.4164 data_time: 0.0386 memory: 4652 grad_norm: 2.7534 loss: 4.4366 loss_cls: 2.9562 loss_bbox: 1.4803 +2024/10/29 08:06:00 - mmengine - INFO - Epoch(train) [18][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:52:48 time: 0.4173 data_time: 0.0390 memory: 4652 grad_norm: 3.1125 loss: 4.4704 loss_cls: 2.9910 loss_bbox: 1.4794 +2024/10/29 08:06:21 - mmengine - INFO - Epoch(train) [18][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:52:27 time: 0.4248 data_time: 0.0463 memory: 4652 grad_norm: 2.6746 loss: 4.5433 loss_cls: 3.0556 loss_bbox: 1.4877 +2024/10/29 08:06:42 - mmengine - INFO - Epoch(train) [18][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:52:06 time: 0.4253 data_time: 0.0401 memory: 4652 grad_norm: 2.6499 loss: 4.4944 loss_cls: 2.9903 loss_bbox: 1.5040 +2024/10/29 08:06:56 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 08:07:03 - mmengine - INFO - Epoch(train) [18][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:51:42 time: 0.4171 data_time: 0.0390 memory: 4652 grad_norm: 2.7257 loss: 4.5395 loss_cls: 3.0466 loss_bbox: 1.4929 +2024/10/29 08:07:26 - mmengine - INFO - Epoch(train) [18][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:51:36 time: 0.4700 data_time: 0.0863 memory: 4652 grad_norm: 2.6472 loss: 4.5254 loss_cls: 3.0299 loss_bbox: 1.4955 +2024/10/29 08:07:48 - mmengine - INFO - Epoch(train) [18][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:51:15 time: 0.4275 data_time: 0.0385 memory: 4652 grad_norm: 2.7426 loss: 4.4542 loss_cls: 3.0225 loss_bbox: 1.4318 +2024/10/29 08:08:09 - mmengine - INFO - Epoch(train) [18][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:50:52 time: 0.4182 data_time: 0.0380 memory: 4652 grad_norm: 2.6499 loss: 4.4730 loss_cls: 2.9597 loss_bbox: 1.5133 +2024/10/29 08:08:30 - mmengine - INFO - Epoch(train) [18][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:50:31 time: 0.4254 data_time: 0.0441 memory: 4652 grad_norm: 2.9978 loss: 4.4784 loss_cls: 3.0062 loss_bbox: 1.4722 +2024/10/29 08:08:51 - mmengine - INFO - Epoch(train) [18][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:50:05 time: 0.4115 data_time: 0.0392 memory: 4652 grad_norm: 2.7541 loss: 4.4422 loss_cls: 2.9875 loss_bbox: 1.4548 +2024/10/29 08:09:12 - mmengine - INFO - Epoch(train) [18][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:49:46 time: 0.4309 data_time: 0.0395 memory: 4652 grad_norm: 2.6997 loss: 4.4397 loss_cls: 2.9796 loss_bbox: 1.4601 +2024/10/29 08:09:33 - mmengine - INFO - Epoch(train) [18][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:49:24 time: 0.4233 data_time: 0.0381 memory: 4652 grad_norm: 2.7203 loss: 4.5099 loss_cls: 3.0333 loss_bbox: 1.4767 +2024/10/29 08:09:54 - mmengine - INFO - Epoch(train) [18][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:49:01 time: 0.4177 data_time: 0.0494 memory: 4652 grad_norm: 2.6783 loss: 4.4448 loss_cls: 2.9606 loss_bbox: 1.4842 +2024/10/29 08:10:15 - mmengine - INFO - Epoch(train) [18][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:48:40 time: 0.4247 data_time: 0.0388 memory: 4652 grad_norm: 2.7612 loss: 4.5204 loss_cls: 3.0389 loss_bbox: 1.4815 +2024/10/29 08:10:36 - mmengine - INFO - Epoch(train) [18][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:48:14 time: 0.4121 data_time: 0.0397 memory: 4652 grad_norm: 2.7792 loss: 4.5343 loss_cls: 3.0179 loss_bbox: 1.5165 +2024/10/29 08:10:58 - mmengine - INFO - Epoch(train) [18][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:47:58 time: 0.4414 data_time: 0.0409 memory: 4652 grad_norm: 2.6813 loss: 4.5568 loss_cls: 3.0719 loss_bbox: 1.4850 +2024/10/29 08:11:19 - mmengine - INFO - Epoch(train) [18][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:47:37 time: 0.4256 data_time: 0.0381 memory: 4652 grad_norm: 2.5949 loss: 4.4799 loss_cls: 2.9623 loss_bbox: 1.5176 +2024/10/29 08:11:42 - mmengine - INFO - Epoch(train) [18][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:47:27 time: 0.4585 data_time: 0.0490 memory: 4652 grad_norm: 2.7228 loss: 4.5018 loss_cls: 3.0108 loss_bbox: 1.4910 +2024/10/29 08:12:03 - mmengine - INFO - Epoch(train) [18][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:47:03 time: 0.4165 data_time: 0.0379 memory: 4652 grad_norm: 2.8373 loss: 4.4312 loss_cls: 2.9306 loss_bbox: 1.5006 +2024/10/29 08:12:27 - mmengine - INFO - Epoch(train) [18][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:46:57 time: 0.4724 data_time: 0.0859 memory: 4652 grad_norm: 2.8647 loss: 4.5023 loss_cls: 3.0203 loss_bbox: 1.4820 +2024/10/29 08:12:47 - mmengine - INFO - Epoch(train) [18][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:46:33 time: 0.4142 data_time: 0.0382 memory: 4652 grad_norm: 2.8104 loss: 4.4997 loss_cls: 3.0170 loss_bbox: 1.4826 +2024/10/29 08:13:08 - mmengine - INFO - Epoch(train) [18][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:46:08 time: 0.4155 data_time: 0.0377 memory: 4652 grad_norm: 2.7505 loss: 4.5040 loss_cls: 2.9939 loss_bbox: 1.5101 +2024/10/29 08:13:30 - mmengine - INFO - Epoch(train) [18][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:45:49 time: 0.4310 data_time: 0.0422 memory: 4652 grad_norm: 2.8850 loss: 4.4219 loss_cls: 2.9459 loss_bbox: 1.4760 +2024/10/29 08:13:51 - mmengine - INFO - Epoch(train) [18][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:45:27 time: 0.4220 data_time: 0.0389 memory: 4652 grad_norm: 2.8344 loss: 4.3898 loss_cls: 2.9103 loss_bbox: 1.4795 +2024/10/29 08:13:52 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 08:13:52 - mmengine - INFO - Saving checkpoint at 18 epochs +2024/10/29 08:14:10 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 08:14:19 - mmengine - INFO - Epoch(train) [19][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:45:09 time: 0.4438 data_time: 0.0622 memory: 4652 grad_norm: 2.6325 loss: 4.3936 loss_cls: 2.9400 loss_bbox: 1.4536 +2024/10/29 08:14:41 - mmengine - INFO - Epoch(train) [19][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:44:52 time: 0.4377 data_time: 0.0387 memory: 4652 grad_norm: 2.7447 loss: 4.4160 loss_cls: 2.9574 loss_bbox: 1.4587 +2024/10/29 08:15:03 - mmengine - INFO - Epoch(train) [19][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:44:31 time: 0.4259 data_time: 0.0376 memory: 4652 grad_norm: 2.8068 loss: 4.4031 loss_cls: 2.9734 loss_bbox: 1.4298 +2024/10/29 08:15:26 - mmengine - INFO - Epoch(train) [19][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:44:25 time: 0.4737 data_time: 0.0906 memory: 4652 grad_norm: 2.6411 loss: 4.5188 loss_cls: 2.9903 loss_bbox: 1.5286 +2024/10/29 08:15:47 - mmengine - INFO - Epoch(train) [19][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:44:03 time: 0.4214 data_time: 0.0377 memory: 4652 grad_norm: 2.7365 loss: 4.5126 loss_cls: 2.9841 loss_bbox: 1.5285 +2024/10/29 08:16:09 - mmengine - INFO - Epoch(train) [19][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:43:43 time: 0.4304 data_time: 0.0450 memory: 4652 grad_norm: 2.7765 loss: 4.4476 loss_cls: 2.9806 loss_bbox: 1.4670 +2024/10/29 08:16:30 - mmengine - INFO - Epoch(train) [19][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:43:22 time: 0.4254 data_time: 0.0427 memory: 4652 grad_norm: 2.5849 loss: 4.3942 loss_cls: 2.9405 loss_bbox: 1.4538 +2024/10/29 08:16:52 - mmengine - INFO - Epoch(train) [19][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:43:02 time: 0.4277 data_time: 0.0377 memory: 4652 grad_norm: 2.8616 loss: 4.4746 loss_cls: 3.0232 loss_bbox: 1.4515 +2024/10/29 08:17:13 - mmengine - INFO - Epoch(train) [19][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:42:41 time: 0.4268 data_time: 0.0392 memory: 4652 grad_norm: 2.6447 loss: 4.4351 loss_cls: 2.9826 loss_bbox: 1.4526 +2024/10/29 08:17:34 - mmengine - INFO - Epoch(train) [19][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:42:20 time: 0.4256 data_time: 0.0426 memory: 4652 grad_norm: 2.7572 loss: 4.4611 loss_cls: 2.9924 loss_bbox: 1.4687 +2024/10/29 08:17:55 - mmengine - INFO - Epoch(train) [19][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:41:58 time: 0.4209 data_time: 0.0390 memory: 4652 grad_norm: 2.9012 loss: 4.4412 loss_cls: 2.9682 loss_bbox: 1.4731 +2024/10/29 08:18:17 - mmengine - INFO - Epoch(train) [19][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:41:38 time: 0.4304 data_time: 0.0419 memory: 4652 grad_norm: 2.8174 loss: 4.4872 loss_cls: 2.9637 loss_bbox: 1.5236 +2024/10/29 08:18:39 - mmengine - INFO - Epoch(train) [19][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:41:20 time: 0.4347 data_time: 0.0429 memory: 4652 grad_norm: 3.0742 loss: 4.4333 loss_cls: 2.9717 loss_bbox: 1.4616 +2024/10/29 08:19:00 - mmengine - INFO - Epoch(train) [19][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:40:58 time: 0.4223 data_time: 0.0388 memory: 4652 grad_norm: 2.7054 loss: 4.5234 loss_cls: 3.0127 loss_bbox: 1.5108 +2024/10/29 08:19:21 - mmengine - INFO - Epoch(train) [19][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:40:37 time: 0.4265 data_time: 0.0389 memory: 4652 grad_norm: 2.7065 loss: 4.4896 loss_cls: 2.9952 loss_bbox: 1.4945 +2024/10/29 08:19:42 - mmengine - INFO - Epoch(train) [19][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:40:17 time: 0.4289 data_time: 0.0390 memory: 4652 grad_norm: 2.7828 loss: 4.3892 loss_cls: 2.9682 loss_bbox: 1.4210 +2024/10/29 08:20:04 - mmengine - INFO - Epoch(train) [19][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:39:57 time: 0.4291 data_time: 0.0391 memory: 4652 grad_norm: 2.6569 loss: 4.4615 loss_cls: 2.9696 loss_bbox: 1.4919 +2024/10/29 08:20:27 - mmengine - INFO - Epoch(train) [19][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:39:45 time: 0.4537 data_time: 0.0645 memory: 4652 grad_norm: 2.6964 loss: 4.4264 loss_cls: 2.9768 loss_bbox: 1.4497 +2024/10/29 08:20:48 - mmengine - INFO - Epoch(train) [19][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:39:26 time: 0.4328 data_time: 0.0419 memory: 4652 grad_norm: 2.8166 loss: 4.4926 loss_cls: 3.0067 loss_bbox: 1.4860 +2024/10/29 08:21:10 - mmengine - INFO - Epoch(train) [19][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:39:09 time: 0.4392 data_time: 0.0388 memory: 4652 grad_norm: 2.5886 loss: 4.3930 loss_cls: 2.9348 loss_bbox: 1.4582 +2024/10/29 08:21:23 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 08:21:32 - mmengine - INFO - Epoch(train) [19][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:38:50 time: 0.4317 data_time: 0.0449 memory: 4652 grad_norm: 2.6726 loss: 4.3745 loss_cls: 2.9398 loss_bbox: 1.4347 +2024/10/29 08:21:54 - mmengine - INFO - Epoch(train) [19][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:38:34 time: 0.4396 data_time: 0.0377 memory: 4652 grad_norm: 2.7585 loss: 4.4440 loss_cls: 2.9333 loss_bbox: 1.5107 +2024/10/29 08:22:15 - mmengine - INFO - Epoch(train) [19][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:38:15 time: 0.4338 data_time: 0.0380 memory: 4652 grad_norm: 2.6164 loss: 4.4138 loss_cls: 2.9327 loss_bbox: 1.4811 +2024/10/29 08:22:37 - mmengine - INFO - Epoch(train) [19][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:37:53 time: 0.4235 data_time: 0.0449 memory: 4652 grad_norm: 3.1031 loss: 4.4685 loss_cls: 2.9869 loss_bbox: 1.4815 +2024/10/29 08:22:59 - mmengine - INFO - Epoch(train) [19][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:37:38 time: 0.4449 data_time: 0.0474 memory: 4652 grad_norm: 2.6292 loss: 4.4632 loss_cls: 2.9859 loss_bbox: 1.4773 +2024/10/29 08:23:20 - mmengine - INFO - Epoch(train) [19][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:37:18 time: 0.4288 data_time: 0.0385 memory: 4652 grad_norm: 2.9408 loss: 4.3138 loss_cls: 2.9126 loss_bbox: 1.4012 +2024/10/29 08:23:42 - mmengine - INFO - Epoch(train) [19][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:37:00 time: 0.4342 data_time: 0.0391 memory: 4652 grad_norm: 2.5853 loss: 4.4518 loss_cls: 2.9535 loss_bbox: 1.4983 +2024/10/29 08:24:03 - mmengine - INFO - Epoch(train) [19][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:36:39 time: 0.4276 data_time: 0.0454 memory: 4652 grad_norm: 2.8685 loss: 4.3718 loss_cls: 2.9560 loss_bbox: 1.4158 +2024/10/29 08:24:27 - mmengine - INFO - Epoch(train) [19][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:36:33 time: 0.4738 data_time: 0.0810 memory: 4652 grad_norm: 2.7362 loss: 4.4623 loss_cls: 2.9819 loss_bbox: 1.4804 +2024/10/29 08:24:49 - mmengine - INFO - Epoch(train) [19][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:36:13 time: 0.4299 data_time: 0.0372 memory: 4652 grad_norm: 2.7283 loss: 4.4624 loss_cls: 2.9981 loss_bbox: 1.4644 +2024/10/29 08:25:11 - mmengine - INFO - Epoch(train) [19][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:35:58 time: 0.4430 data_time: 0.0478 memory: 4652 grad_norm: 2.6039 loss: 4.4061 loss_cls: 2.9112 loss_bbox: 1.4949 +2024/10/29 08:25:33 - mmengine - INFO - Epoch(train) [19][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:35:40 time: 0.4363 data_time: 0.0374 memory: 4652 grad_norm: 2.7885 loss: 4.4761 loss_cls: 3.0164 loss_bbox: 1.4597 +2024/10/29 08:25:54 - mmengine - INFO - Epoch(train) [19][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:35:22 time: 0.4361 data_time: 0.0448 memory: 4652 grad_norm: 2.7816 loss: 4.3725 loss_cls: 2.9240 loss_bbox: 1.4484 +2024/10/29 08:26:16 - mmengine - INFO - Epoch(train) [19][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:35:03 time: 0.4313 data_time: 0.0394 memory: 4652 grad_norm: 2.7098 loss: 4.5487 loss_cls: 3.0384 loss_bbox: 1.5103 +2024/10/29 08:26:38 - mmengine - INFO - Epoch(train) [19][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:34:47 time: 0.4439 data_time: 0.0394 memory: 4652 grad_norm: 2.9312 loss: 4.3774 loss_cls: 2.9519 loss_bbox: 1.4255 +2024/10/29 08:26:59 - mmengine - INFO - Epoch(train) [19][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:34:25 time: 0.4242 data_time: 0.0399 memory: 4652 grad_norm: 2.7015 loss: 4.3093 loss_cls: 2.8957 loss_bbox: 1.4136 +2024/10/29 08:27:22 - mmengine - INFO - Epoch(train) [19][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:34:10 time: 0.4439 data_time: 0.0466 memory: 4652 grad_norm: 2.9020 loss: 4.5056 loss_cls: 2.9789 loss_bbox: 1.5267 +2024/10/29 08:27:43 - mmengine - INFO - Epoch(train) [19][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:33:50 time: 0.4299 data_time: 0.0488 memory: 4652 grad_norm: 2.8488 loss: 4.4808 loss_cls: 2.9708 loss_bbox: 1.5100 +2024/10/29 08:28:05 - mmengine - INFO - Epoch(train) [19][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:33:32 time: 0.4353 data_time: 0.0379 memory: 4652 grad_norm: 2.6887 loss: 4.4668 loss_cls: 2.9818 loss_bbox: 1.4850 +2024/10/29 08:28:27 - mmengine - INFO - Epoch(train) [19][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:33:17 time: 0.4454 data_time: 0.0397 memory: 4652 grad_norm: 2.7715 loss: 4.5388 loss_cls: 3.0216 loss_bbox: 1.5172 +2024/10/29 08:28:39 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 08:28:48 - mmengine - INFO - Epoch(train) [19][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:32:54 time: 0.4210 data_time: 0.0386 memory: 4652 grad_norm: 2.8086 loss: 4.4890 loss_cls: 2.9666 loss_bbox: 1.5224 +2024/10/29 08:29:10 - mmengine - INFO - Epoch(train) [19][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:32:38 time: 0.4418 data_time: 0.0387 memory: 4652 grad_norm: 2.8896 loss: 4.3921 loss_cls: 2.9481 loss_bbox: 1.4441 +2024/10/29 08:29:32 - mmengine - INFO - Epoch(train) [19][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:32:17 time: 0.4260 data_time: 0.0421 memory: 4652 grad_norm: 2.7989 loss: 4.4622 loss_cls: 2.9743 loss_bbox: 1.4879 +2024/10/29 08:29:54 - mmengine - INFO - Epoch(train) [19][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:32:00 time: 0.4396 data_time: 0.0382 memory: 4652 grad_norm: 2.7152 loss: 4.5319 loss_cls: 3.0113 loss_bbox: 1.5206 +2024/10/29 08:30:15 - mmengine - INFO - Epoch(train) [19][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:31:41 time: 0.4326 data_time: 0.0437 memory: 4652 grad_norm: 2.7573 loss: 4.4653 loss_cls: 2.9710 loss_bbox: 1.4943 +2024/10/29 08:30:36 - mmengine - INFO - Epoch(train) [19][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:31:20 time: 0.4245 data_time: 0.0381 memory: 4652 grad_norm: 2.6343 loss: 4.5271 loss_cls: 3.0113 loss_bbox: 1.5158 +2024/10/29 08:30:58 - mmengine - INFO - Epoch(train) [19][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:31:02 time: 0.4375 data_time: 0.0431 memory: 4652 grad_norm: 2.6223 loss: 4.3338 loss_cls: 2.9086 loss_bbox: 1.4252 +2024/10/29 08:31:19 - mmengine - INFO - Epoch(train) [19][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:30:39 time: 0.4188 data_time: 0.0396 memory: 4652 grad_norm: 2.7106 loss: 4.5130 loss_cls: 2.9502 loss_bbox: 1.5628 +2024/10/29 08:31:40 - mmengine - INFO - Epoch(train) [19][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:30:17 time: 0.4246 data_time: 0.0418 memory: 4652 grad_norm: 2.7849 loss: 4.4745 loss_cls: 2.9699 loss_bbox: 1.5046 +2024/10/29 08:32:02 - mmengine - INFO - Epoch(train) [19][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:29:59 time: 0.4359 data_time: 0.0479 memory: 4652 grad_norm: 2.8013 loss: 4.4863 loss_cls: 3.0042 loss_bbox: 1.4821 +2024/10/29 08:32:27 - mmengine - INFO - Epoch(train) [19][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:29:57 time: 0.4873 data_time: 0.0954 memory: 4652 grad_norm: 2.6531 loss: 4.4259 loss_cls: 2.9477 loss_bbox: 1.4782 +2024/10/29 08:32:49 - mmengine - INFO - Epoch(train) [19][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:29:41 time: 0.4420 data_time: 0.0365 memory: 4652 grad_norm: 2.7459 loss: 4.3948 loss_cls: 2.9093 loss_bbox: 1.4855 +2024/10/29 08:33:10 - mmengine - INFO - Epoch(train) [19][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:29:18 time: 0.4215 data_time: 0.0386 memory: 4652 grad_norm: 2.8524 loss: 4.4438 loss_cls: 2.9701 loss_bbox: 1.4737 +2024/10/29 08:33:32 - mmengine - INFO - Epoch(train) [19][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:29:01 time: 0.4381 data_time: 0.0382 memory: 4652 grad_norm: 2.7780 loss: 4.4628 loss_cls: 2.9995 loss_bbox: 1.4633 +2024/10/29 08:33:54 - mmengine - INFO - Epoch(train) [19][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:28:45 time: 0.4424 data_time: 0.0426 memory: 4652 grad_norm: 2.7788 loss: 4.4935 loss_cls: 3.0007 loss_bbox: 1.4929 +2024/10/29 08:34:16 - mmengine - INFO - Epoch(train) [19][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:28:26 time: 0.4350 data_time: 0.0382 memory: 4652 grad_norm: 2.6460 loss: 4.4560 loss_cls: 2.9756 loss_bbox: 1.4804 +2024/10/29 08:34:39 - mmengine - INFO - Epoch(train) [19][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:28:15 time: 0.4580 data_time: 0.0389 memory: 4652 grad_norm: 2.5496 loss: 4.4950 loss_cls: 2.9482 loss_bbox: 1.5468 +2024/10/29 08:35:00 - mmengine - INFO - Epoch(train) [19][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:27:53 time: 0.4257 data_time: 0.0454 memory: 4652 grad_norm: 2.6280 loss: 4.4901 loss_cls: 3.0003 loss_bbox: 1.4898 +2024/10/29 08:35:22 - mmengine - INFO - Epoch(train) [19][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:27:38 time: 0.4435 data_time: 0.0376 memory: 4652 grad_norm: 2.6998 loss: 4.4314 loss_cls: 2.9856 loss_bbox: 1.4459 +2024/10/29 08:35:44 - mmengine - INFO - Epoch(train) [19][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:27:21 time: 0.4402 data_time: 0.0391 memory: 4652 grad_norm: 2.7614 loss: 4.3811 loss_cls: 2.9298 loss_bbox: 1.4513 +2024/10/29 08:35:56 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 08:36:06 - mmengine - INFO - Epoch(train) [19][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:27:05 time: 0.4426 data_time: 0.0399 memory: 4652 grad_norm: 2.7034 loss: 4.5558 loss_cls: 3.0312 loss_bbox: 1.5246 +2024/10/29 08:36:09 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 08:36:09 - mmengine - INFO - Saving checkpoint at 19 epochs +2024/10/29 08:36:36 - mmengine - INFO - Epoch(train) [20][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:26:53 time: 0.4349 data_time: 0.0553 memory: 4652 grad_norm: 2.7284 loss: 4.4159 loss_cls: 2.9500 loss_bbox: 1.4659 +2024/10/29 08:36:56 - mmengine - INFO - Epoch(train) [20][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:26:27 time: 0.4095 data_time: 0.0421 memory: 4652 grad_norm: 2.9038 loss: 4.5186 loss_cls: 2.9986 loss_bbox: 1.5200 +2024/10/29 08:37:17 - mmengine - INFO - Epoch(train) [20][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:26:06 time: 0.4273 data_time: 0.0366 memory: 4652 grad_norm: 2.8299 loss: 4.4609 loss_cls: 2.9866 loss_bbox: 1.4743 +2024/10/29 08:37:38 - mmengine - INFO - Epoch(train) [20][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:25:42 time: 0.4156 data_time: 0.0387 memory: 4652 grad_norm: 2.7986 loss: 4.4682 loss_cls: 2.9495 loss_bbox: 1.5187 +2024/10/29 08:37:59 - mmengine - INFO - Epoch(train) [20][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:25:18 time: 0.4153 data_time: 0.0432 memory: 4652 grad_norm: 2.5326 loss: 4.3858 loss_cls: 2.9625 loss_bbox: 1.4233 +2024/10/29 08:38:20 - mmengine - INFO - Epoch(train) [20][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:24:55 time: 0.4200 data_time: 0.0396 memory: 4652 grad_norm: 2.9162 loss: 4.3833 loss_cls: 2.9425 loss_bbox: 1.4408 +2024/10/29 08:38:41 - mmengine - INFO - Epoch(train) [20][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:24:34 time: 0.4263 data_time: 0.0471 memory: 4652 grad_norm: 2.5953 loss: 4.4402 loss_cls: 2.9688 loss_bbox: 1.4714 +2024/10/29 08:39:02 - mmengine - INFO - Epoch(train) [20][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:24:11 time: 0.4214 data_time: 0.0400 memory: 4652 grad_norm: 2.8150 loss: 4.4507 loss_cls: 2.9736 loss_bbox: 1.4772 +2024/10/29 08:39:26 - mmengine - INFO - Epoch(train) [20][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:24:01 time: 0.4617 data_time: 0.0881 memory: 4652 grad_norm: 2.6323 loss: 4.3988 loss_cls: 2.9398 loss_bbox: 1.4590 +2024/10/29 08:39:47 - mmengine - INFO - Epoch(train) [20][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:23:39 time: 0.4251 data_time: 0.0421 memory: 4652 grad_norm: 2.8355 loss: 4.4170 loss_cls: 2.9315 loss_bbox: 1.4854 +2024/10/29 08:40:08 - mmengine - INFO - Epoch(train) [20][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:23:15 time: 0.4150 data_time: 0.0425 memory: 4652 grad_norm: 2.6623 loss: 4.4478 loss_cls: 2.9397 loss_bbox: 1.5081 +2024/10/29 08:40:29 - mmengine - INFO - Epoch(train) [20][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:22:53 time: 0.4229 data_time: 0.0426 memory: 4652 grad_norm: 2.8797 loss: 4.5019 loss_cls: 3.0180 loss_bbox: 1.4839 +2024/10/29 08:40:51 - mmengine - INFO - Epoch(train) [20][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:22:37 time: 0.4437 data_time: 0.0512 memory: 4652 grad_norm: 2.5779 loss: 4.4353 loss_cls: 2.9749 loss_bbox: 1.4604 +2024/10/29 08:41:12 - mmengine - INFO - Epoch(train) [20][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:22:17 time: 0.4289 data_time: 0.0391 memory: 4652 grad_norm: 2.7245 loss: 4.4105 loss_cls: 2.9691 loss_bbox: 1.4414 +2024/10/29 08:41:34 - mmengine - INFO - Epoch(train) [20][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:21:55 time: 0.4236 data_time: 0.0477 memory: 4652 grad_norm: 2.5781 loss: 4.4816 loss_cls: 2.9853 loss_bbox: 1.4963 +2024/10/29 08:41:55 - mmengine - INFO - Epoch(train) [20][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:21:32 time: 0.4205 data_time: 0.0402 memory: 4652 grad_norm: 2.6294 loss: 4.4945 loss_cls: 2.9809 loss_bbox: 1.5136 +2024/10/29 08:42:16 - mmengine - INFO - Epoch(train) [20][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:21:10 time: 0.4204 data_time: 0.0387 memory: 4652 grad_norm: 2.7032 loss: 4.4972 loss_cls: 3.0146 loss_bbox: 1.4826 +2024/10/29 08:42:37 - mmengine - INFO - Epoch(train) [20][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:20:50 time: 0.4307 data_time: 0.0391 memory: 4652 grad_norm: 3.1044 loss: 4.3867 loss_cls: 2.9369 loss_bbox: 1.4499 +2024/10/29 08:42:59 - mmengine - INFO - Epoch(train) [20][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:20:31 time: 0.4339 data_time: 0.0418 memory: 4652 grad_norm: 2.6767 loss: 4.4386 loss_cls: 2.9332 loss_bbox: 1.5054 +2024/10/29 08:43:09 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 08:43:20 - mmengine - INFO - Epoch(train) [20][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:20:10 time: 0.4251 data_time: 0.0403 memory: 4652 grad_norm: 2.6708 loss: 4.4229 loss_cls: 2.9433 loss_bbox: 1.4795 +2024/10/29 08:43:41 - mmengine - INFO - Epoch(train) [20][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:19:44 time: 0.4094 data_time: 0.0420 memory: 4652 grad_norm: 2.8633 loss: 4.4249 loss_cls: 2.9531 loss_bbox: 1.4718 +2024/10/29 08:44:02 - mmengine - INFO - Epoch(train) [20][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:19:23 time: 0.4281 data_time: 0.0426 memory: 4652 grad_norm: 2.7696 loss: 4.4853 loss_cls: 3.0144 loss_bbox: 1.4709 +2024/10/29 08:44:27 - mmengine - INFO - Epoch(train) [20][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:19:22 time: 0.4937 data_time: 0.1208 memory: 4652 grad_norm: 2.6912 loss: 4.4092 loss_cls: 2.9525 loss_bbox: 1.4567 +2024/10/29 08:44:48 - mmengine - INFO - Epoch(train) [20][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:19:01 time: 0.4290 data_time: 0.0398 memory: 4652 grad_norm: 3.1715 loss: 4.4549 loss_cls: 2.9767 loss_bbox: 1.4782 +2024/10/29 08:45:10 - mmengine - INFO - Epoch(train) [20][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:18:42 time: 0.4304 data_time: 0.0433 memory: 4652 grad_norm: 2.5859 loss: 4.3333 loss_cls: 2.9264 loss_bbox: 1.4070 +2024/10/29 08:45:31 - mmengine - INFO - Epoch(train) [20][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:18:20 time: 0.4245 data_time: 0.0398 memory: 4652 grad_norm: 2.9410 loss: 4.5785 loss_cls: 3.0726 loss_bbox: 1.5059 +2024/10/29 08:45:53 - mmengine - INFO - Epoch(train) [20][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:18:01 time: 0.4327 data_time: 0.0467 memory: 4652 grad_norm: 2.5154 loss: 4.4275 loss_cls: 2.9597 loss_bbox: 1.4679 +2024/10/29 08:46:13 - mmengine - INFO - Epoch(train) [20][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:17:33 time: 0.4044 data_time: 0.0379 memory: 4652 grad_norm: 2.9116 loss: 4.3837 loss_cls: 2.9299 loss_bbox: 1.4538 +2024/10/29 08:46:34 - mmengine - INFO - Epoch(train) [20][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:17:13 time: 0.4268 data_time: 0.0365 memory: 4652 grad_norm: 2.5584 loss: 4.5004 loss_cls: 2.9945 loss_bbox: 1.5059 +2024/10/29 08:46:55 - mmengine - INFO - Epoch(train) [20][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:16:49 time: 0.4179 data_time: 0.0361 memory: 4652 grad_norm: 2.5570 loss: 4.4220 loss_cls: 2.9653 loss_bbox: 1.4567 +2024/10/29 08:47:16 - mmengine - INFO - Epoch(train) [20][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:16:29 time: 0.4282 data_time: 0.0434 memory: 4652 grad_norm: 2.7766 loss: 4.4122 loss_cls: 2.9720 loss_bbox: 1.4402 +2024/10/29 08:47:38 - mmengine - INFO - Epoch(train) [20][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:16:07 time: 0.4238 data_time: 0.0455 memory: 4652 grad_norm: 2.8307 loss: 4.4168 loss_cls: 2.9431 loss_bbox: 1.4737 +2024/10/29 08:47:58 - mmengine - INFO - Epoch(train) [20][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:15:40 time: 0.4056 data_time: 0.0376 memory: 4652 grad_norm: 2.7435 loss: 4.3398 loss_cls: 2.9391 loss_bbox: 1.4007 +2024/10/29 08:48:19 - mmengine - INFO - Epoch(train) [20][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:15:18 time: 0.4228 data_time: 0.0378 memory: 4652 grad_norm: 2.8639 loss: 4.5212 loss_cls: 3.0063 loss_bbox: 1.5149 +2024/10/29 08:48:40 - mmengine - INFO - Epoch(train) [20][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:14:57 time: 0.4266 data_time: 0.0494 memory: 4652 grad_norm: 2.7569 loss: 4.4617 loss_cls: 2.9736 loss_bbox: 1.4882 +2024/10/29 08:49:01 - mmengine - INFO - Epoch(train) [20][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:14:33 time: 0.4169 data_time: 0.0406 memory: 4652 grad_norm: 2.6614 loss: 4.5044 loss_cls: 2.9916 loss_bbox: 1.5128 +2024/10/29 08:49:24 - mmengine - INFO - Epoch(train) [20][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:14:18 time: 0.4460 data_time: 0.0475 memory: 4652 grad_norm: 2.9359 loss: 4.5051 loss_cls: 2.9994 loss_bbox: 1.5058 +2024/10/29 08:49:45 - mmengine - INFO - Epoch(train) [20][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:13:55 time: 0.4197 data_time: 0.0405 memory: 4652 grad_norm: 2.6758 loss: 4.3860 loss_cls: 2.9528 loss_bbox: 1.4333 +2024/10/29 08:50:06 - mmengine - INFO - Epoch(train) [20][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:13:33 time: 0.4230 data_time: 0.0452 memory: 4652 grad_norm: 2.5326 loss: 4.3812 loss_cls: 2.9419 loss_bbox: 1.4393 +2024/10/29 08:50:16 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 08:50:26 - mmengine - INFO - Epoch(train) [20][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:13:07 time: 0.4103 data_time: 0.0358 memory: 4652 grad_norm: 2.8313 loss: 4.5132 loss_cls: 3.0090 loss_bbox: 1.5042 +2024/10/29 08:50:47 - mmengine - INFO - Epoch(train) [20][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:12:43 time: 0.4145 data_time: 0.0361 memory: 4652 grad_norm: 2.7846 loss: 4.3896 loss_cls: 2.9241 loss_bbox: 1.4655 +2024/10/29 08:51:09 - mmengine - INFO - Epoch(train) [20][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:12:26 time: 0.4418 data_time: 0.0390 memory: 4652 grad_norm: 2.6303 loss: 4.5347 loss_cls: 3.0039 loss_bbox: 1.5308 +2024/10/29 08:51:30 - mmengine - INFO - Epoch(train) [20][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:12:03 time: 0.4203 data_time: 0.0406 memory: 4652 grad_norm: 2.6082 loss: 4.3981 loss_cls: 2.9400 loss_bbox: 1.4581 +2024/10/29 08:51:52 - mmengine - INFO - Epoch(train) [20][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:11:48 time: 0.4477 data_time: 0.0473 memory: 4652 grad_norm: 2.8993 loss: 4.4657 loss_cls: 2.9909 loss_bbox: 1.4748 +2024/10/29 08:52:13 - mmengine - INFO - Epoch(train) [20][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:11:22 time: 0.4081 data_time: 0.0369 memory: 4652 grad_norm: 2.9070 loss: 4.4197 loss_cls: 2.9536 loss_bbox: 1.4661 +2024/10/29 08:52:34 - mmengine - INFO - Epoch(train) [20][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:11:01 time: 0.4273 data_time: 0.0430 memory: 4652 grad_norm: 2.6786 loss: 4.4266 loss_cls: 2.9453 loss_bbox: 1.4813 +2024/10/29 08:52:56 - mmengine - INFO - Epoch(train) [20][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:10:45 time: 0.4411 data_time: 0.0507 memory: 4652 grad_norm: 2.9429 loss: 4.3955 loss_cls: 2.9557 loss_bbox: 1.4398 +2024/10/29 08:53:17 - mmengine - INFO - Epoch(train) [20][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:10:21 time: 0.4184 data_time: 0.0395 memory: 4652 grad_norm: 2.6134 loss: 4.4610 loss_cls: 3.0078 loss_bbox: 1.4531 +2024/10/29 08:53:39 - mmengine - INFO - Epoch(train) [20][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:10:02 time: 0.4333 data_time: 0.0399 memory: 4652 grad_norm: 2.8100 loss: 4.4334 loss_cls: 2.9659 loss_bbox: 1.4676 +2024/10/29 08:54:00 - mmengine - INFO - Epoch(train) [20][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:09:40 time: 0.4207 data_time: 0.0461 memory: 4652 grad_norm: 2.6180 loss: 4.4930 loss_cls: 3.0074 loss_bbox: 1.4856 +2024/10/29 08:54:21 - mmengine - INFO - Epoch(train) [20][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:09:17 time: 0.4194 data_time: 0.0391 memory: 4652 grad_norm: 2.7327 loss: 4.5276 loss_cls: 3.0089 loss_bbox: 1.5187 +2024/10/29 08:54:42 - mmengine - INFO - Epoch(train) [20][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:08:55 time: 0.4246 data_time: 0.0497 memory: 4652 grad_norm: 2.6423 loss: 4.4742 loss_cls: 2.9950 loss_bbox: 1.4793 +2024/10/29 08:55:03 - mmengine - INFO - Epoch(train) [20][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:08:32 time: 0.4196 data_time: 0.0437 memory: 4652 grad_norm: 2.8131 loss: 4.4373 loss_cls: 2.9691 loss_bbox: 1.4682 +2024/10/29 08:55:27 - mmengine - INFO - Epoch(train) [20][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:08:24 time: 0.4724 data_time: 0.0856 memory: 4652 grad_norm: 2.6135 loss: 4.5060 loss_cls: 2.9680 loss_bbox: 1.5380 +2024/10/29 08:55:49 - mmengine - INFO - Epoch(train) [20][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:08:09 time: 0.4487 data_time: 0.0725 memory: 4652 grad_norm: 2.6785 loss: 4.4312 loss_cls: 2.9490 loss_bbox: 1.4822 +2024/10/29 08:56:10 - mmengine - INFO - Epoch(train) [20][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:07:45 time: 0.4140 data_time: 0.0391 memory: 4652 grad_norm: 2.6884 loss: 4.5013 loss_cls: 2.9854 loss_bbox: 1.5159 +2024/10/29 08:56:32 - mmengine - INFO - Epoch(train) [20][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:07:26 time: 0.4331 data_time: 0.0412 memory: 4652 grad_norm: 2.8782 loss: 4.4459 loss_cls: 2.9716 loss_bbox: 1.4744 +2024/10/29 08:56:53 - mmengine - INFO - Epoch(train) [20][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:07:03 time: 0.4225 data_time: 0.0439 memory: 4652 grad_norm: 2.6290 loss: 4.4569 loss_cls: 2.9531 loss_bbox: 1.5038 +2024/10/29 08:57:14 - mmengine - INFO - Epoch(train) [20][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:06:44 time: 0.4325 data_time: 0.0364 memory: 4652 grad_norm: 2.7449 loss: 4.3724 loss_cls: 2.9550 loss_bbox: 1.4174 +2024/10/29 08:57:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 08:57:35 - mmengine - INFO - Epoch(train) [20][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:06:19 time: 0.4134 data_time: 0.0393 memory: 4652 grad_norm: 2.9199 loss: 4.4385 loss_cls: 2.9740 loss_bbox: 1.4645 +2024/10/29 08:57:56 - mmengine - INFO - Epoch(train) [20][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:05:56 time: 0.4160 data_time: 0.0379 memory: 4652 grad_norm: 2.6608 loss: 4.4993 loss_cls: 3.0264 loss_bbox: 1.4729 +2024/10/29 08:57:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 08:57:57 - mmengine - INFO - Saving checkpoint at 20 epochs +2024/10/29 08:58:05 - mmengine - INFO - Epoch(val) [20][50/79] eta: 0:00:02 time: 0.0734 data_time: 0.0080 memory: 4652 +2024/10/29 08:58:23 - mmengine - INFO - Evaluating bbox... +2024/10/29 08:59:37 - mmengine - INFO - bbox_mAP_copypaste: 0.191 0.341 0.192 0.044 0.228 0.312 +2024/10/29 08:59:38 - mmengine - INFO - Epoch(val) [20][79/79] coco/bbox_mAP: 0.1910 coco/bbox_mAP_50: 0.3410 coco/bbox_mAP_75: 0.1920 coco/bbox_mAP_s: 0.0440 coco/bbox_mAP_m: 0.2280 coco/bbox_mAP_l: 0.3120 data_time: 0.0072 time: 0.0712 +2024/10/29 09:00:01 - mmengine - INFO - Epoch(train) [21][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:05:39 time: 0.4516 data_time: 0.0626 memory: 4652 grad_norm: 2.7128 loss: 4.4675 loss_cls: 2.9994 loss_bbox: 1.4682 +2024/10/29 09:00:22 - mmengine - INFO - Epoch(train) [21][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:05:15 time: 0.4153 data_time: 0.0369 memory: 4652 grad_norm: 3.0280 loss: 4.3031 loss_cls: 2.8838 loss_bbox: 1.4193 +2024/10/29 09:00:44 - mmengine - INFO - Epoch(train) [21][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:04:57 time: 0.4376 data_time: 0.0507 memory: 4652 grad_norm: 2.7259 loss: 4.4615 loss_cls: 2.9949 loss_bbox: 1.4665 +2024/10/29 09:01:04 - mmengine - INFO - Epoch(train) [21][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:04:33 time: 0.4159 data_time: 0.0368 memory: 4652 grad_norm: 2.7238 loss: 4.4427 loss_cls: 2.9465 loss_bbox: 1.4961 +2024/10/29 09:01:26 - mmengine - INFO - Epoch(train) [21][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:04:15 time: 0.4382 data_time: 0.0519 memory: 4652 grad_norm: 2.9194 loss: 4.4271 loss_cls: 2.9856 loss_bbox: 1.4415 +2024/10/29 09:01:48 - mmengine - INFO - Epoch(train) [21][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:03:58 time: 0.4400 data_time: 0.0501 memory: 4652 grad_norm: 2.6841 loss: 4.4766 loss_cls: 2.9686 loss_bbox: 1.5080 +2024/10/29 09:02:10 - mmengine - INFO - Epoch(train) [21][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:03:38 time: 0.4289 data_time: 0.0489 memory: 4652 grad_norm: 2.8504 loss: 4.5188 loss_cls: 3.0100 loss_bbox: 1.5088 +2024/10/29 09:02:31 - mmengine - INFO - Epoch(train) [21][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:03:18 time: 0.4324 data_time: 0.0454 memory: 4652 grad_norm: 2.9026 loss: 4.3302 loss_cls: 2.9365 loss_bbox: 1.3937 +2024/10/29 09:02:52 - mmengine - INFO - Epoch(train) [21][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:02:52 time: 0.4055 data_time: 0.0354 memory: 4652 grad_norm: 2.6434 loss: 4.4011 loss_cls: 2.9390 loss_bbox: 1.4620 +2024/10/29 09:03:13 - mmengine - INFO - Epoch(train) [21][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:02:33 time: 0.4348 data_time: 0.0556 memory: 4652 grad_norm: 2.6303 loss: 4.5204 loss_cls: 2.9785 loss_bbox: 1.5420 +2024/10/29 09:03:35 - mmengine - INFO - Epoch(train) [21][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:02:12 time: 0.4286 data_time: 0.0360 memory: 4652 grad_norm: 2.5943 loss: 4.4417 loss_cls: 2.9666 loss_bbox: 1.4751 +2024/10/29 09:03:56 - mmengine - INFO - Epoch(train) [21][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:01:49 time: 0.4170 data_time: 0.0372 memory: 4652 grad_norm: 2.5732 loss: 4.3927 loss_cls: 2.9450 loss_bbox: 1.4477 +2024/10/29 09:04:17 - mmengine - INFO - Epoch(train) [21][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:01:29 time: 0.4314 data_time: 0.0466 memory: 4652 grad_norm: 2.7575 loss: 4.4929 loss_cls: 2.9761 loss_bbox: 1.5167 +2024/10/29 09:04:38 - mmengine - INFO - Epoch(train) [21][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:01:03 time: 0.4086 data_time: 0.0375 memory: 4652 grad_norm: 2.6338 loss: 4.4820 loss_cls: 2.9640 loss_bbox: 1.5181 +2024/10/29 09:04:59 - mmengine - INFO - Epoch(train) [21][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:00:44 time: 0.4324 data_time: 0.0485 memory: 4652 grad_norm: 2.7821 loss: 4.3850 loss_cls: 2.9195 loss_bbox: 1.4655 +2024/10/29 09:05:21 - mmengine - INFO - Epoch(train) [21][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:00:24 time: 0.4328 data_time: 0.0384 memory: 4652 grad_norm: 2.7420 loss: 4.5042 loss_cls: 3.0221 loss_bbox: 1.4821 +2024/10/29 09:05:42 - mmengine - INFO - Epoch(train) [21][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 12:00:02 time: 0.4220 data_time: 0.0438 memory: 4652 grad_norm: 2.7351 loss: 4.4452 loss_cls: 2.9785 loss_bbox: 1.4666 +2024/10/29 09:06:03 - mmengine - INFO - Epoch(train) [21][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:59:40 time: 0.4203 data_time: 0.0368 memory: 4652 grad_norm: 2.5246 loss: 4.3227 loss_cls: 2.9064 loss_bbox: 1.4163 +2024/10/29 09:06:14 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 09:06:27 - mmengine - INFO - Epoch(train) [21][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:59:30 time: 0.4687 data_time: 0.0920 memory: 4652 grad_norm: 2.6798 loss: 4.3468 loss_cls: 2.9106 loss_bbox: 1.4362 +2024/10/29 09:06:47 - mmengine - INFO - Epoch(train) [21][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:59:06 time: 0.4159 data_time: 0.0364 memory: 4652 grad_norm: 2.8440 loss: 4.3842 loss_cls: 2.9466 loss_bbox: 1.4375 +2024/10/29 09:07:09 - mmengine - INFO - Epoch(train) [21][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:58:46 time: 0.4292 data_time: 0.0420 memory: 4652 grad_norm: 2.8453 loss: 4.6385 loss_cls: 3.0725 loss_bbox: 1.5660 +2024/10/29 09:07:30 - mmengine - INFO - Epoch(train) [21][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:58:23 time: 0.4219 data_time: 0.0464 memory: 4652 grad_norm: 2.7129 loss: 4.4259 loss_cls: 2.9245 loss_bbox: 1.5014 +2024/10/29 09:07:51 - mmengine - INFO - Epoch(train) [21][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:57:59 time: 0.4152 data_time: 0.0350 memory: 4652 grad_norm: 2.8005 loss: 4.5099 loss_cls: 3.0064 loss_bbox: 1.5035 +2024/10/29 09:08:12 - mmengine - INFO - Epoch(train) [21][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:57:38 time: 0.4243 data_time: 0.0359 memory: 4652 grad_norm: 2.5958 loss: 4.4482 loss_cls: 2.9521 loss_bbox: 1.4961 +2024/10/29 09:08:33 - mmengine - INFO - Epoch(train) [21][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:57:18 time: 0.4311 data_time: 0.0404 memory: 4652 grad_norm: 2.6671 loss: 4.3803 loss_cls: 2.9447 loss_bbox: 1.4356 +2024/10/29 09:08:56 - mmengine - INFO - Epoch(train) [21][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:57:01 time: 0.4426 data_time: 0.0345 memory: 4652 grad_norm: 2.7435 loss: 4.4101 loss_cls: 2.9485 loss_bbox: 1.4616 +2024/10/29 09:09:17 - mmengine - INFO - Epoch(train) [21][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:56:40 time: 0.4253 data_time: 0.0378 memory: 4652 grad_norm: 2.7183 loss: 4.3502 loss_cls: 2.9058 loss_bbox: 1.4443 +2024/10/29 09:09:40 - mmengine - INFO - Epoch(train) [21][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:56:27 time: 0.4548 data_time: 0.0630 memory: 4652 grad_norm: 2.5625 loss: 4.3947 loss_cls: 2.9547 loss_bbox: 1.4400 +2024/10/29 09:10:01 - mmengine - INFO - Epoch(train) [21][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:56:04 time: 0.4222 data_time: 0.0361 memory: 4652 grad_norm: 2.5023 loss: 4.4633 loss_cls: 2.9850 loss_bbox: 1.4783 +2024/10/29 09:10:22 - mmengine - INFO - Epoch(train) [21][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:55:44 time: 0.4302 data_time: 0.0401 memory: 4652 grad_norm: 2.8302 loss: 4.4995 loss_cls: 3.0086 loss_bbox: 1.4908 +2024/10/29 09:10:44 - mmengine - INFO - Epoch(train) [21][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:55:28 time: 0.4452 data_time: 0.0444 memory: 4652 grad_norm: 2.5850 loss: 4.4110 loss_cls: 2.9366 loss_bbox: 1.4743 +2024/10/29 09:11:06 - mmengine - INFO - Epoch(train) [21][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:55:08 time: 0.4293 data_time: 0.0356 memory: 4652 grad_norm: 2.6570 loss: 4.4648 loss_cls: 2.9857 loss_bbox: 1.4791 +2024/10/29 09:11:27 - mmengine - INFO - Epoch(train) [21][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:54:48 time: 0.4300 data_time: 0.0404 memory: 4652 grad_norm: 2.7101 loss: 4.5037 loss_cls: 2.9983 loss_bbox: 1.5054 +2024/10/29 09:11:49 - mmengine - INFO - Epoch(train) [21][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:54:30 time: 0.4402 data_time: 0.0421 memory: 4652 grad_norm: 2.9399 loss: 4.3940 loss_cls: 2.9228 loss_bbox: 1.4712 +2024/10/29 09:12:11 - mmengine - INFO - Epoch(train) [21][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:54:12 time: 0.4345 data_time: 0.0363 memory: 4652 grad_norm: 2.7045 loss: 4.4711 loss_cls: 2.9831 loss_bbox: 1.4880 +2024/10/29 09:12:33 - mmengine - INFO - Epoch(train) [21][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:53:55 time: 0.4425 data_time: 0.0368 memory: 4652 grad_norm: 2.7118 loss: 4.4690 loss_cls: 2.9801 loss_bbox: 1.4890 +2024/10/29 09:12:55 - mmengine - INFO - Epoch(train) [21][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:53:37 time: 0.4400 data_time: 0.0434 memory: 4652 grad_norm: 2.7233 loss: 4.3681 loss_cls: 2.9257 loss_bbox: 1.4424 +2024/10/29 09:13:16 - mmengine - INFO - Epoch(train) [21][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:53:15 time: 0.4228 data_time: 0.0437 memory: 4652 grad_norm: 2.8654 loss: 4.4248 loss_cls: 2.9460 loss_bbox: 1.4789 +2024/10/29 09:13:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 09:13:38 - mmengine - INFO - Epoch(train) [21][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:52:56 time: 0.4346 data_time: 0.0373 memory: 4652 grad_norm: 2.7708 loss: 4.4979 loss_cls: 2.9507 loss_bbox: 1.5472 +2024/10/29 09:13:59 - mmengine - INFO - Epoch(train) [21][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:52:32 time: 0.4132 data_time: 0.0383 memory: 4652 grad_norm: 2.7136 loss: 4.4106 loss_cls: 2.9731 loss_bbox: 1.4375 +2024/10/29 09:14:21 - mmengine - INFO - Epoch(train) [21][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:52:15 time: 0.4428 data_time: 0.0511 memory: 4652 grad_norm: 2.7264 loss: 4.4836 loss_cls: 3.0175 loss_bbox: 1.4661 +2024/10/29 09:14:43 - mmengine - INFO - Epoch(train) [21][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:51:55 time: 0.4323 data_time: 0.0435 memory: 4652 grad_norm: 2.7288 loss: 4.5316 loss_cls: 3.0052 loss_bbox: 1.5264 +2024/10/29 09:15:04 - mmengine - INFO - Epoch(train) [21][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:51:36 time: 0.4309 data_time: 0.0438 memory: 4652 grad_norm: 2.5113 loss: 4.4719 loss_cls: 2.9739 loss_bbox: 1.4980 +2024/10/29 09:15:27 - mmengine - INFO - Epoch(train) [21][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:51:20 time: 0.4475 data_time: 0.0616 memory: 4652 grad_norm: 2.6865 loss: 4.3703 loss_cls: 2.9391 loss_bbox: 1.4312 +2024/10/29 09:15:48 - mmengine - INFO - Epoch(train) [21][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:50:57 time: 0.4199 data_time: 0.0437 memory: 4652 grad_norm: 3.0237 loss: 4.3915 loss_cls: 2.9280 loss_bbox: 1.4635 +2024/10/29 09:16:10 - mmengine - INFO - Epoch(train) [21][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:50:41 time: 0.4450 data_time: 0.0403 memory: 4652 grad_norm: 2.5437 loss: 4.3898 loss_cls: 2.9253 loss_bbox: 1.4645 +2024/10/29 09:16:31 - mmengine - INFO - Epoch(train) [21][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:50:17 time: 0.4154 data_time: 0.0367 memory: 4652 grad_norm: 2.6868 loss: 4.4560 loss_cls: 2.9885 loss_bbox: 1.4675 +2024/10/29 09:16:52 - mmengine - INFO - Epoch(train) [21][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:49:55 time: 0.4231 data_time: 0.0373 memory: 4652 grad_norm: 2.8449 loss: 4.4230 loss_cls: 2.9595 loss_bbox: 1.4635 +2024/10/29 09:17:13 - mmengine - INFO - Epoch(train) [21][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:49:36 time: 0.4339 data_time: 0.0372 memory: 4652 grad_norm: 2.6665 loss: 4.3983 loss_cls: 2.9477 loss_bbox: 1.4506 +2024/10/29 09:17:34 - mmengine - INFO - Epoch(train) [21][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:49:11 time: 0.4125 data_time: 0.0369 memory: 4652 grad_norm: 2.7866 loss: 4.4592 loss_cls: 2.9557 loss_bbox: 1.5035 +2024/10/29 09:17:56 - mmengine - INFO - Epoch(train) [21][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:48:53 time: 0.4370 data_time: 0.0361 memory: 4652 grad_norm: 2.8878 loss: 4.4950 loss_cls: 3.0123 loss_bbox: 1.4828 +2024/10/29 09:18:18 - mmengine - INFO - Epoch(train) [21][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:48:36 time: 0.4419 data_time: 0.0405 memory: 4652 grad_norm: 2.7375 loss: 4.4111 loss_cls: 2.9563 loss_bbox: 1.4548 +2024/10/29 09:18:39 - mmengine - INFO - Epoch(train) [21][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:48:13 time: 0.4203 data_time: 0.0375 memory: 4652 grad_norm: 2.6478 loss: 4.5337 loss_cls: 3.0278 loss_bbox: 1.5059 +2024/10/29 09:19:01 - mmengine - INFO - Epoch(train) [21][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:47:56 time: 0.4409 data_time: 0.0360 memory: 4652 grad_norm: 2.7763 loss: 4.4254 loss_cls: 2.9710 loss_bbox: 1.4545 +2024/10/29 09:19:27 - mmengine - INFO - Epoch(train) [21][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:47:58 time: 0.5138 data_time: 0.1179 memory: 4652 grad_norm: 2.5698 loss: 4.4688 loss_cls: 2.9613 loss_bbox: 1.5075 +2024/10/29 09:19:48 - mmengine - INFO - Epoch(train) [21][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:47:37 time: 0.4299 data_time: 0.0427 memory: 4652 grad_norm: 2.7973 loss: 4.5875 loss_cls: 3.0605 loss_bbox: 1.5271 +2024/10/29 09:20:10 - mmengine - INFO - Epoch(train) [21][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:47:18 time: 0.4328 data_time: 0.0395 memory: 4652 grad_norm: 2.5756 loss: 4.3950 loss_cls: 2.9555 loss_bbox: 1.4395 +2024/10/29 09:20:31 - mmengine - INFO - Epoch(train) [21][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:46:56 time: 0.4224 data_time: 0.0431 memory: 4652 grad_norm: 2.6718 loss: 4.5834 loss_cls: 3.0385 loss_bbox: 1.5449 +2024/10/29 09:20:40 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 09:20:53 - mmengine - INFO - Epoch(train) [21][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:46:38 time: 0.4389 data_time: 0.0374 memory: 4652 grad_norm: 2.7166 loss: 4.4678 loss_cls: 3.0007 loss_bbox: 1.4672 +2024/10/29 09:21:14 - mmengine - INFO - Epoch(train) [21][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:46:14 time: 0.4176 data_time: 0.0355 memory: 4652 grad_norm: 2.7873 loss: 4.4796 loss_cls: 2.9782 loss_bbox: 1.5013 +2024/10/29 09:21:35 - mmengine - INFO - Epoch(train) [21][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:45:53 time: 0.4260 data_time: 0.0365 memory: 4652 grad_norm: 2.7347 loss: 4.5058 loss_cls: 3.0188 loss_bbox: 1.4870 +2024/10/29 09:21:37 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 09:21:37 - mmengine - INFO - Saving checkpoint at 21 epochs +2024/10/29 09:22:02 - mmengine - INFO - Epoch(train) [22][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:45:29 time: 0.4237 data_time: 0.0551 memory: 4652 grad_norm: 2.6964 loss: 4.3085 loss_cls: 2.8804 loss_bbox: 1.4282 +2024/10/29 09:22:25 - mmengine - INFO - Epoch(train) [22][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:45:16 time: 0.4576 data_time: 0.0948 memory: 4652 grad_norm: 2.6104 loss: 4.4368 loss_cls: 2.9615 loss_bbox: 1.4753 +2024/10/29 09:22:46 - mmengine - INFO - Epoch(train) [22][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:44:54 time: 0.4238 data_time: 0.0391 memory: 4652 grad_norm: 2.7473 loss: 4.4295 loss_cls: 2.9550 loss_bbox: 1.4745 +2024/10/29 09:23:06 - mmengine - INFO - Epoch(train) [22][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:44:27 time: 0.4035 data_time: 0.0417 memory: 4652 grad_norm: 2.8412 loss: 4.4481 loss_cls: 2.9964 loss_bbox: 1.4517 +2024/10/29 09:23:27 - mmengine - INFO - Epoch(train) [22][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:44:02 time: 0.4102 data_time: 0.0456 memory: 4652 grad_norm: 2.5807 loss: 4.3609 loss_cls: 2.9156 loss_bbox: 1.4453 +2024/10/29 09:23:47 - mmengine - INFO - Epoch(train) [22][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:43:35 time: 0.4053 data_time: 0.0388 memory: 4652 grad_norm: 2.7534 loss: 4.4647 loss_cls: 2.9763 loss_bbox: 1.4884 +2024/10/29 09:24:08 - mmengine - INFO - Epoch(train) [22][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:43:09 time: 0.4070 data_time: 0.0480 memory: 4652 grad_norm: 2.7123 loss: 4.4881 loss_cls: 2.9997 loss_bbox: 1.4884 +2024/10/29 09:24:28 - mmengine - INFO - Epoch(train) [22][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:42:45 time: 0.4143 data_time: 0.0400 memory: 4652 grad_norm: 2.7664 loss: 4.4955 loss_cls: 3.0012 loss_bbox: 1.4942 +2024/10/29 09:24:48 - mmengine - INFO - Epoch(train) [22][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:42:17 time: 0.4000 data_time: 0.0401 memory: 4652 grad_norm: 2.6636 loss: 4.4659 loss_cls: 2.9986 loss_bbox: 1.4673 +2024/10/29 09:25:09 - mmengine - INFO - Epoch(train) [22][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:41:51 time: 0.4071 data_time: 0.0403 memory: 4652 grad_norm: 2.6383 loss: 4.4080 loss_cls: 2.9734 loss_bbox: 1.4346 +2024/10/29 09:25:29 - mmengine - INFO - Epoch(train) [22][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:41:27 time: 0.4149 data_time: 0.0425 memory: 4652 grad_norm: 2.7448 loss: 4.3519 loss_cls: 2.9338 loss_bbox: 1.4182 +2024/10/29 09:25:49 - mmengine - INFO - Epoch(train) [22][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:40:58 time: 0.3949 data_time: 0.0445 memory: 4652 grad_norm: 2.8369 loss: 4.4088 loss_cls: 2.9655 loss_bbox: 1.4433 +2024/10/29 09:26:10 - mmengine - INFO - Epoch(train) [22][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:40:35 time: 0.4208 data_time: 0.0525 memory: 4652 grad_norm: 2.6507 loss: 4.4901 loss_cls: 2.9895 loss_bbox: 1.5006 +2024/10/29 09:26:31 - mmengine - INFO - Epoch(train) [22][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:40:10 time: 0.4098 data_time: 0.0422 memory: 4652 grad_norm: 2.7591 loss: 4.3965 loss_cls: 2.9035 loss_bbox: 1.4930 +2024/10/29 09:26:51 - mmengine - INFO - Epoch(train) [22][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:39:44 time: 0.4075 data_time: 0.0398 memory: 4652 grad_norm: 2.7452 loss: 4.4310 loss_cls: 2.9714 loss_bbox: 1.4596 +2024/10/29 09:27:11 - mmengine - INFO - Epoch(train) [22][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:39:15 time: 0.3954 data_time: 0.0360 memory: 4652 grad_norm: 2.8467 loss: 4.4621 loss_cls: 3.0029 loss_bbox: 1.4592 +2024/10/29 09:27:31 - mmengine - INFO - Epoch(train) [22][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:38:46 time: 0.3969 data_time: 0.0363 memory: 4652 grad_norm: 2.6291 loss: 4.4547 loss_cls: 2.9850 loss_bbox: 1.4697 +2024/10/29 09:27:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 09:27:51 - mmengine - INFO - Epoch(train) [22][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:38:19 time: 0.4051 data_time: 0.0352 memory: 4652 grad_norm: 2.6619 loss: 4.4047 loss_cls: 2.9428 loss_bbox: 1.4619 +2024/10/29 09:28:11 - mmengine - INFO - Epoch(train) [22][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:37:53 time: 0.4036 data_time: 0.0423 memory: 4652 grad_norm: 2.7277 loss: 4.4564 loss_cls: 2.9571 loss_bbox: 1.4994 +2024/10/29 09:28:31 - mmengine - INFO - Epoch(train) [22][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:37:24 time: 0.3974 data_time: 0.0362 memory: 4652 grad_norm: 2.7051 loss: 4.3533 loss_cls: 2.9087 loss_bbox: 1.4446 +2024/10/29 09:28:51 - mmengine - INFO - Epoch(train) [22][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:36:57 time: 0.4033 data_time: 0.0367 memory: 4652 grad_norm: 2.6368 loss: 4.4164 loss_cls: 2.9637 loss_bbox: 1.4527 +2024/10/29 09:29:12 - mmengine - INFO - Epoch(train) [22][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:36:32 time: 0.4115 data_time: 0.0369 memory: 4652 grad_norm: 3.0138 loss: 4.4468 loss_cls: 2.9619 loss_bbox: 1.4849 +2024/10/29 09:29:32 - mmengine - INFO - Epoch(train) [22][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:36:05 time: 0.4021 data_time: 0.0368 memory: 4652 grad_norm: 2.7179 loss: 4.4679 loss_cls: 2.9755 loss_bbox: 1.4925 +2024/10/29 09:29:52 - mmengine - INFO - Epoch(train) [22][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:35:40 time: 0.4094 data_time: 0.0464 memory: 4652 grad_norm: 2.7266 loss: 4.3605 loss_cls: 2.9155 loss_bbox: 1.4451 +2024/10/29 09:30:12 - mmengine - INFO - Epoch(train) [22][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:35:12 time: 0.4012 data_time: 0.0417 memory: 4652 grad_norm: 2.7375 loss: 4.4128 loss_cls: 2.9391 loss_bbox: 1.4736 +2024/10/29 09:30:33 - mmengine - INFO - Epoch(train) [22][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:34:48 time: 0.4148 data_time: 0.0371 memory: 4652 grad_norm: 2.8295 loss: 4.4201 loss_cls: 2.9553 loss_bbox: 1.4648 +2024/10/29 09:30:54 - mmengine - INFO - Epoch(train) [22][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:34:23 time: 0.4093 data_time: 0.0365 memory: 4652 grad_norm: 2.6604 loss: 4.3686 loss_cls: 2.9097 loss_bbox: 1.4589 +2024/10/29 09:31:14 - mmengine - INFO - Epoch(train) [22][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:33:57 time: 0.4085 data_time: 0.0368 memory: 4652 grad_norm: 2.7084 loss: 4.3306 loss_cls: 2.9113 loss_bbox: 1.4192 +2024/10/29 09:31:35 - mmengine - INFO - Epoch(train) [22][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:33:33 time: 0.4116 data_time: 0.0373 memory: 4652 grad_norm: 2.6986 loss: 4.3098 loss_cls: 2.8793 loss_bbox: 1.4305 +2024/10/29 09:31:55 - mmengine - INFO - Epoch(train) [22][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:33:08 time: 0.4126 data_time: 0.0409 memory: 4652 grad_norm: 2.6833 loss: 4.4200 loss_cls: 2.9730 loss_bbox: 1.4470 +2024/10/29 09:32:17 - mmengine - INFO - Epoch(train) [22][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:32:50 time: 0.4384 data_time: 0.0668 memory: 4652 grad_norm: 2.7724 loss: 4.4459 loss_cls: 2.9540 loss_bbox: 1.4919 +2024/10/29 09:32:37 - mmengine - INFO - Epoch(train) [22][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:32:22 time: 0.4003 data_time: 0.0416 memory: 4652 grad_norm: 2.5735 loss: 4.4759 loss_cls: 2.9817 loss_bbox: 1.4942 +2024/10/29 09:32:58 - mmengine - INFO - Epoch(train) [22][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:31:59 time: 0.4153 data_time: 0.0388 memory: 4652 grad_norm: 3.0469 loss: 4.5039 loss_cls: 2.9977 loss_bbox: 1.5062 +2024/10/29 09:33:18 - mmengine - INFO - Epoch(train) [22][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:31:32 time: 0.4038 data_time: 0.0387 memory: 4652 grad_norm: 2.6895 loss: 4.4115 loss_cls: 2.9639 loss_bbox: 1.4476 +2024/10/29 09:33:39 - mmengine - INFO - Epoch(train) [22][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:31:07 time: 0.4117 data_time: 0.0387 memory: 4652 grad_norm: 2.6621 loss: 4.4172 loss_cls: 2.9464 loss_bbox: 1.4708 +2024/10/29 09:34:00 - mmengine - INFO - Epoch(train) [22][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:30:43 time: 0.4137 data_time: 0.0491 memory: 4652 grad_norm: 2.7203 loss: 4.3710 loss_cls: 2.9137 loss_bbox: 1.4572 +2024/10/29 09:34:20 - mmengine - INFO - Epoch(train) [22][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:30:18 time: 0.4101 data_time: 0.0426 memory: 4652 grad_norm: 2.8787 loss: 4.3991 loss_cls: 2.9460 loss_bbox: 1.4531 +2024/10/29 09:34:27 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 09:34:41 - mmengine - INFO - Epoch(train) [22][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:29:55 time: 0.4186 data_time: 0.0456 memory: 4652 grad_norm: 2.9933 loss: 4.4169 loss_cls: 2.9583 loss_bbox: 1.4585 +2024/10/29 09:35:01 - mmengine - INFO - Epoch(train) [22][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:29:27 time: 0.3980 data_time: 0.0397 memory: 4652 grad_norm: 2.6013 loss: 4.4655 loss_cls: 2.9646 loss_bbox: 1.5009 +2024/10/29 09:35:21 - mmengine - INFO - Epoch(train) [22][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:29:02 time: 0.4106 data_time: 0.0401 memory: 4652 grad_norm: 2.9719 loss: 4.4855 loss_cls: 2.9809 loss_bbox: 1.5046 +2024/10/29 09:35:42 - mmengine - INFO - Epoch(train) [22][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:28:37 time: 0.4108 data_time: 0.0461 memory: 4652 grad_norm: 2.9470 loss: 4.3846 loss_cls: 2.9257 loss_bbox: 1.4589 +2024/10/29 09:36:02 - mmengine - INFO - Epoch(train) [22][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:28:08 time: 0.3965 data_time: 0.0410 memory: 4652 grad_norm: 2.8784 loss: 4.4342 loss_cls: 2.9810 loss_bbox: 1.4531 +2024/10/29 09:36:27 - mmengine - INFO - Epoch(train) [22][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:28:08 time: 0.5080 data_time: 0.1223 memory: 4652 grad_norm: 2.8199 loss: 4.4366 loss_cls: 2.9538 loss_bbox: 1.4828 +2024/10/29 09:36:47 - mmengine - INFO - Epoch(train) [22][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:27:38 time: 0.3918 data_time: 0.0357 memory: 4652 grad_norm: 2.7905 loss: 4.5251 loss_cls: 3.0287 loss_bbox: 1.4964 +2024/10/29 09:37:07 - mmengine - INFO - Epoch(train) [22][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:27:13 time: 0.4078 data_time: 0.0366 memory: 4652 grad_norm: 2.6730 loss: 4.4160 loss_cls: 2.9395 loss_bbox: 1.4765 +2024/10/29 09:37:27 - mmengine - INFO - Epoch(train) [22][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:26:45 time: 0.3990 data_time: 0.0354 memory: 4652 grad_norm: 2.7431 loss: 4.4361 loss_cls: 2.9908 loss_bbox: 1.4453 +2024/10/29 09:37:47 - mmengine - INFO - Epoch(train) [22][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:26:15 time: 0.3923 data_time: 0.0364 memory: 4652 grad_norm: 2.6405 loss: 4.5229 loss_cls: 3.0241 loss_bbox: 1.4988 +2024/10/29 09:38:08 - mmengine - INFO - Epoch(train) [22][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:25:53 time: 0.4201 data_time: 0.0366 memory: 4652 grad_norm: 2.6472 loss: 4.4661 loss_cls: 2.9521 loss_bbox: 1.5140 +2024/10/29 09:38:28 - mmengine - INFO - Epoch(train) [22][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:25:27 time: 0.4066 data_time: 0.0451 memory: 4652 grad_norm: 2.7543 loss: 4.4397 loss_cls: 2.9548 loss_bbox: 1.4848 +2024/10/29 09:38:49 - mmengine - INFO - Epoch(train) [22][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:25:02 time: 0.4096 data_time: 0.0373 memory: 4652 grad_norm: 2.6721 loss: 4.4551 loss_cls: 2.9677 loss_bbox: 1.4874 +2024/10/29 09:39:09 - mmengine - INFO - Epoch(train) [22][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:24:35 time: 0.4038 data_time: 0.0368 memory: 4652 grad_norm: 2.7647 loss: 4.3628 loss_cls: 2.9113 loss_bbox: 1.4516 +2024/10/29 09:39:29 - mmengine - INFO - Epoch(train) [22][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:24:08 time: 0.4026 data_time: 0.0380 memory: 4652 grad_norm: 2.8782 loss: 4.5391 loss_cls: 2.9726 loss_bbox: 1.5666 +2024/10/29 09:39:49 - mmengine - INFO - Epoch(train) [22][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:23:43 time: 0.4092 data_time: 0.0461 memory: 4652 grad_norm: 2.9385 loss: 4.3888 loss_cls: 2.9152 loss_bbox: 1.4736 +2024/10/29 09:40:09 - mmengine - INFO - Epoch(train) [22][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:23:15 time: 0.3977 data_time: 0.0379 memory: 4652 grad_norm: 2.8689 loss: 4.4789 loss_cls: 2.9561 loss_bbox: 1.5228 +2024/10/29 09:40:31 - mmengine - INFO - Epoch(train) [22][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:22:55 time: 0.4308 data_time: 0.0499 memory: 4652 grad_norm: 2.5892 loss: 4.4527 loss_cls: 2.9754 loss_bbox: 1.4773 +2024/10/29 09:40:51 - mmengine - INFO - Epoch(train) [22][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:22:28 time: 0.4024 data_time: 0.0376 memory: 4652 grad_norm: 2.9561 loss: 4.4858 loss_cls: 2.9907 loss_bbox: 1.4951 +2024/10/29 09:41:12 - mmengine - INFO - Epoch(train) [22][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:22:06 time: 0.4214 data_time: 0.0411 memory: 4652 grad_norm: 2.9948 loss: 4.3650 loss_cls: 2.8999 loss_bbox: 1.4650 +2024/10/29 09:41:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 09:41:32 - mmengine - INFO - Epoch(train) [22][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:21:39 time: 0.3998 data_time: 0.0390 memory: 4652 grad_norm: 2.6974 loss: 4.4384 loss_cls: 2.9547 loss_bbox: 1.4837 +2024/10/29 09:41:52 - mmengine - INFO - Epoch(train) [22][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:21:09 time: 0.3918 data_time: 0.0382 memory: 4652 grad_norm: 2.8042 loss: 4.4355 loss_cls: 2.9546 loss_bbox: 1.4809 +2024/10/29 09:42:12 - mmengine - INFO - Epoch(train) [22][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:20:45 time: 0.4140 data_time: 0.0476 memory: 4652 grad_norm: 2.7661 loss: 4.4102 loss_cls: 2.9658 loss_bbox: 1.4443 +2024/10/29 09:42:32 - mmengine - INFO - Epoch(train) [22][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:20:17 time: 0.3971 data_time: 0.0395 memory: 4652 grad_norm: 2.8294 loss: 4.4373 loss_cls: 2.9960 loss_bbox: 1.4413 +2024/10/29 09:42:34 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 09:42:34 - mmengine - INFO - Saving checkpoint at 22 epochs +2024/10/29 09:43:02 - mmengine - INFO - Epoch(train) [23][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:20:01 time: 0.4486 data_time: 0.0621 memory: 4652 grad_norm: 2.6894 loss: 4.3621 loss_cls: 2.9506 loss_bbox: 1.4115 +2024/10/29 09:43:25 - mmengine - INFO - Epoch(train) [23][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:19:50 time: 0.4679 data_time: 0.1013 memory: 4652 grad_norm: 2.7482 loss: 4.3262 loss_cls: 2.8917 loss_bbox: 1.4345 +2024/10/29 09:43:46 - mmengine - INFO - Epoch(train) [23][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:19:28 time: 0.4245 data_time: 0.0465 memory: 4652 grad_norm: 2.6197 loss: 4.3719 loss_cls: 2.9276 loss_bbox: 1.4444 +2024/10/29 09:44:09 - mmengine - INFO - Epoch(train) [23][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:19:12 time: 0.4469 data_time: 0.0556 memory: 4652 grad_norm: 2.9216 loss: 4.3937 loss_cls: 2.9098 loss_bbox: 1.4839 +2024/10/29 09:44:29 - mmengine - INFO - Epoch(train) [23][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:18:47 time: 0.4099 data_time: 0.0375 memory: 4652 grad_norm: 2.7406 loss: 4.5200 loss_cls: 3.0020 loss_bbox: 1.5180 +2024/10/29 09:44:51 - mmengine - INFO - Epoch(train) [23][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:18:28 time: 0.4319 data_time: 0.0377 memory: 4652 grad_norm: 3.0957 loss: 4.3906 loss_cls: 2.9250 loss_bbox: 1.4656 +2024/10/29 09:45:12 - mmengine - INFO - Epoch(train) [23][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:18:04 time: 0.4157 data_time: 0.0457 memory: 4652 grad_norm: 2.8123 loss: 4.5426 loss_cls: 3.0241 loss_bbox: 1.5185 +2024/10/29 09:45:33 - mmengine - INFO - Epoch(train) [23][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:17:42 time: 0.4192 data_time: 0.0388 memory: 4652 grad_norm: 2.6164 loss: 4.4757 loss_cls: 2.9689 loss_bbox: 1.5068 +2024/10/29 09:45:54 - mmengine - INFO - Epoch(train) [23][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:17:21 time: 0.4295 data_time: 0.0380 memory: 4652 grad_norm: 2.7237 loss: 4.4406 loss_cls: 2.9586 loss_bbox: 1.4820 +2024/10/29 09:46:15 - mmengine - INFO - Epoch(train) [23][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:17:00 time: 0.4237 data_time: 0.0502 memory: 4652 grad_norm: 2.5675 loss: 4.5163 loss_cls: 3.0033 loss_bbox: 1.5131 +2024/10/29 09:46:37 - mmengine - INFO - Epoch(train) [23][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:16:41 time: 0.4346 data_time: 0.0387 memory: 4652 grad_norm: 2.7488 loss: 4.4489 loss_cls: 3.0114 loss_bbox: 1.4375 +2024/10/29 09:46:57 - mmengine - INFO - Epoch(train) [23][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:16:13 time: 0.3993 data_time: 0.0391 memory: 4652 grad_norm: 2.8897 loss: 4.4807 loss_cls: 2.9890 loss_bbox: 1.4917 +2024/10/29 09:47:18 - mmengine - INFO - Epoch(train) [23][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:15:52 time: 0.4250 data_time: 0.0440 memory: 4652 grad_norm: 2.6536 loss: 4.2743 loss_cls: 2.8815 loss_bbox: 1.3927 +2024/10/29 09:47:39 - mmengine - INFO - Epoch(train) [23][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:15:29 time: 0.4160 data_time: 0.0466 memory: 4652 grad_norm: 2.6180 loss: 4.4257 loss_cls: 2.9693 loss_bbox: 1.4564 +2024/10/29 09:48:00 - mmengine - INFO - Epoch(train) [23][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:15:04 time: 0.4119 data_time: 0.0363 memory: 4652 grad_norm: 2.7574 loss: 4.4579 loss_cls: 2.9541 loss_bbox: 1.5038 +2024/10/29 09:48:21 - mmengine - INFO - Epoch(train) [23][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:14:45 time: 0.4344 data_time: 0.0382 memory: 4652 grad_norm: 2.7990 loss: 4.2895 loss_cls: 2.8517 loss_bbox: 1.4378 +2024/10/29 09:48:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 09:48:41 - mmengine - INFO - Epoch(train) [23][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:14:18 time: 0.4018 data_time: 0.0411 memory: 4652 grad_norm: 2.8705 loss: 4.4269 loss_cls: 2.9430 loss_bbox: 1.4839 +2024/10/29 09:49:03 - mmengine - INFO - Epoch(train) [23][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:13:57 time: 0.4229 data_time: 0.0382 memory: 4652 grad_norm: 2.7505 loss: 4.4857 loss_cls: 2.9943 loss_bbox: 1.4913 +2024/10/29 09:49:28 - mmengine - INFO - Epoch(train) [23][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:13:55 time: 0.5079 data_time: 0.1282 memory: 4652 grad_norm: 2.8933 loss: 4.4138 loss_cls: 2.9158 loss_bbox: 1.4980 +2024/10/29 09:49:49 - mmengine - INFO - Epoch(train) [23][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:13:31 time: 0.4121 data_time: 0.0377 memory: 4652 grad_norm: 2.7667 loss: 4.3777 loss_cls: 2.9143 loss_bbox: 1.4635 +2024/10/29 09:50:11 - mmengine - INFO - Epoch(train) [23][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:13:13 time: 0.4382 data_time: 0.0376 memory: 4652 grad_norm: 2.7843 loss: 4.3990 loss_cls: 2.9254 loss_bbox: 1.4736 +2024/10/29 09:50:31 - mmengine - INFO - Epoch(train) [23][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:12:46 time: 0.4003 data_time: 0.0382 memory: 4652 grad_norm: 2.7863 loss: 4.4165 loss_cls: 2.9708 loss_bbox: 1.4457 +2024/10/29 09:50:52 - mmengine - INFO - Epoch(train) [23][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:12:27 time: 0.4373 data_time: 0.0398 memory: 4652 grad_norm: 2.6572 loss: 4.3648 loss_cls: 2.9119 loss_bbox: 1.4529 +2024/10/29 09:51:13 - mmengine - INFO - Epoch(train) [23][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:12:03 time: 0.4109 data_time: 0.0399 memory: 4652 grad_norm: 2.8340 loss: 4.3803 loss_cls: 2.9345 loss_bbox: 1.4458 +2024/10/29 09:51:34 - mmengine - INFO - Epoch(train) [23][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:11:38 time: 0.4110 data_time: 0.0435 memory: 4652 grad_norm: 2.7036 loss: 4.6052 loss_cls: 3.0793 loss_bbox: 1.5259 +2024/10/29 09:51:55 - mmengine - INFO - Epoch(train) [23][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:11:18 time: 0.4288 data_time: 0.0445 memory: 4652 grad_norm: 2.6249 loss: 4.4145 loss_cls: 2.9479 loss_bbox: 1.4666 +2024/10/29 09:52:15 - mmengine - INFO - Epoch(train) [23][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:10:49 time: 0.3962 data_time: 0.0444 memory: 4652 grad_norm: 2.7474 loss: 4.4975 loss_cls: 3.0294 loss_bbox: 1.4680 +2024/10/29 09:52:36 - mmengine - INFO - Epoch(train) [23][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:10:29 time: 0.4269 data_time: 0.0448 memory: 4652 grad_norm: 2.6553 loss: 4.4664 loss_cls: 2.9799 loss_bbox: 1.4865 +2024/10/29 09:52:56 - mmengine - INFO - Epoch(train) [23][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:09:58 time: 0.3873 data_time: 0.0379 memory: 4652 grad_norm: 2.6290 loss: 4.4849 loss_cls: 3.0018 loss_bbox: 1.4832 +2024/10/29 09:53:15 - mmengine - INFO - Epoch(train) [23][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:09:29 time: 0.3926 data_time: 0.0382 memory: 4652 grad_norm: 2.8516 loss: 4.3796 loss_cls: 2.9383 loss_bbox: 1.4413 +2024/10/29 09:53:36 - mmengine - INFO - Epoch(train) [23][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:09:06 time: 0.4181 data_time: 0.0409 memory: 4652 grad_norm: 2.7859 loss: 4.3534 loss_cls: 2.9139 loss_bbox: 1.4395 +2024/10/29 09:53:56 - mmengine - INFO - Epoch(train) [23][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:08:39 time: 0.4007 data_time: 0.0506 memory: 4652 grad_norm: 2.6346 loss: 4.5047 loss_cls: 2.9865 loss_bbox: 1.5182 +2024/10/29 09:54:17 - mmengine - INFO - Epoch(train) [23][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:08:16 time: 0.4156 data_time: 0.0385 memory: 4652 grad_norm: 2.8705 loss: 4.4220 loss_cls: 2.9735 loss_bbox: 1.4485 +2024/10/29 09:54:36 - mmengine - INFO - Epoch(train) [23][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:07:46 time: 0.3889 data_time: 0.0405 memory: 4652 grad_norm: 2.7295 loss: 4.4175 loss_cls: 2.9779 loss_bbox: 1.4396 +2024/10/29 09:54:57 - mmengine - INFO - Epoch(train) [23][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:07:22 time: 0.4115 data_time: 0.0392 memory: 4652 grad_norm: 2.6951 loss: 4.3803 loss_cls: 2.9051 loss_bbox: 1.4752 +2024/10/29 09:55:18 - mmengine - INFO - Epoch(train) [23][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:06:57 time: 0.4121 data_time: 0.0376 memory: 4652 grad_norm: 2.5156 loss: 4.4643 loss_cls: 2.9789 loss_bbox: 1.4854 +2024/10/29 09:55:22 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 09:55:37 - mmengine - INFO - Epoch(train) [23][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:06:29 time: 0.3930 data_time: 0.0422 memory: 4652 grad_norm: 3.0292 loss: 4.5850 loss_cls: 3.0479 loss_bbox: 1.5372 +2024/10/29 09:55:58 - mmengine - INFO - Epoch(train) [23][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:06:06 time: 0.4200 data_time: 0.0392 memory: 4652 grad_norm: 2.5858 loss: 4.4124 loss_cls: 2.9528 loss_bbox: 1.4596 +2024/10/29 09:56:18 - mmengine - INFO - Epoch(train) [23][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:05:38 time: 0.3950 data_time: 0.0415 memory: 4652 grad_norm: 2.7929 loss: 4.4648 loss_cls: 2.9958 loss_bbox: 1.4690 +2024/10/29 09:56:38 - mmengine - INFO - Epoch(train) [23][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:05:11 time: 0.4027 data_time: 0.0387 memory: 4652 grad_norm: 2.8108 loss: 4.5323 loss_cls: 3.0142 loss_bbox: 1.5181 +2024/10/29 09:56:59 - mmengine - INFO - Epoch(train) [23][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:04:49 time: 0.4178 data_time: 0.0365 memory: 4652 grad_norm: 2.8043 loss: 4.4303 loss_cls: 2.9585 loss_bbox: 1.4718 +2024/10/29 09:57:19 - mmengine - INFO - Epoch(train) [23][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:04:20 time: 0.3942 data_time: 0.0377 memory: 4652 grad_norm: 2.9617 loss: 4.4133 loss_cls: 2.9589 loss_bbox: 1.4544 +2024/10/29 09:57:41 - mmengine - INFO - Epoch(train) [23][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:04:02 time: 0.4380 data_time: 0.0446 memory: 4652 grad_norm: 2.5316 loss: 4.4200 loss_cls: 2.9169 loss_bbox: 1.5031 +2024/10/29 09:58:00 - mmengine - INFO - Epoch(train) [23][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:03:32 time: 0.3882 data_time: 0.0375 memory: 4652 grad_norm: 2.7370 loss: 4.3939 loss_cls: 2.9305 loss_bbox: 1.4634 +2024/10/29 09:58:21 - mmengine - INFO - Epoch(train) [23][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:03:09 time: 0.4155 data_time: 0.0384 memory: 4652 grad_norm: 2.6964 loss: 4.4844 loss_cls: 2.9466 loss_bbox: 1.5378 +2024/10/29 09:58:41 - mmengine - INFO - Epoch(train) [23][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:02:43 time: 0.4051 data_time: 0.0433 memory: 4652 grad_norm: 2.8154 loss: 4.4113 loss_cls: 2.9524 loss_bbox: 1.4589 +2024/10/29 09:59:01 - mmengine - INFO - Epoch(train) [23][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:02:14 time: 0.3935 data_time: 0.0360 memory: 4652 grad_norm: 2.7018 loss: 4.4223 loss_cls: 2.9560 loss_bbox: 1.4663 +2024/10/29 09:59:22 - mmengine - INFO - Epoch(train) [23][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:01:54 time: 0.4306 data_time: 0.0440 memory: 4652 grad_norm: 2.7688 loss: 4.5105 loss_cls: 2.9555 loss_bbox: 1.5549 +2024/10/29 09:59:42 - mmengine - INFO - Epoch(train) [23][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:01:27 time: 0.4002 data_time: 0.0385 memory: 4652 grad_norm: 2.7780 loss: 4.4634 loss_cls: 3.0255 loss_bbox: 1.4379 +2024/10/29 10:00:03 - mmengine - INFO - Epoch(train) [23][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:01:03 time: 0.4122 data_time: 0.0429 memory: 4652 grad_norm: 2.6498 loss: 4.3116 loss_cls: 2.8948 loss_bbox: 1.4168 +2024/10/29 10:00:26 - mmengine - INFO - Epoch(train) [23][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:00:48 time: 0.4510 data_time: 0.0817 memory: 4652 grad_norm: 2.7685 loss: 4.4484 loss_cls: 2.9820 loss_bbox: 1.4665 +2024/10/29 10:00:46 - mmengine - INFO - Epoch(train) [23][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:00:21 time: 0.4003 data_time: 0.0352 memory: 4652 grad_norm: 2.7731 loss: 4.4589 loss_cls: 2.9917 loss_bbox: 1.4672 +2024/10/29 10:01:07 - mmengine - INFO - Epoch(train) [23][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:00:00 time: 0.4262 data_time: 0.0364 memory: 4652 grad_norm: 2.8220 loss: 4.4026 loss_cls: 2.9240 loss_bbox: 1.4786 +2024/10/29 10:01:27 - mmengine - INFO - Epoch(train) [23][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:59:32 time: 0.3933 data_time: 0.0370 memory: 4652 grad_norm: 2.6647 loss: 4.4408 loss_cls: 2.9616 loss_bbox: 1.4791 +2024/10/29 10:01:48 - mmengine - INFO - Epoch(train) [23][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:59:10 time: 0.4208 data_time: 0.0401 memory: 4652 grad_norm: 2.6241 loss: 4.4170 loss_cls: 2.9569 loss_bbox: 1.4601 +2024/10/29 10:02:08 - mmengine - INFO - Epoch(train) [23][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:58:47 time: 0.4173 data_time: 0.0359 memory: 4652 grad_norm: 2.7664 loss: 4.5606 loss_cls: 3.0233 loss_bbox: 1.5373 +2024/10/29 10:02:13 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 10:02:29 - mmengine - INFO - Epoch(train) [23][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:58:21 time: 0.4044 data_time: 0.0396 memory: 4652 grad_norm: 2.6940 loss: 4.3612 loss_cls: 2.9074 loss_bbox: 1.4538 +2024/10/29 10:02:51 - mmengine - INFO - Epoch(train) [23][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:58:04 time: 0.4427 data_time: 0.0448 memory: 4652 grad_norm: 2.7508 loss: 4.3633 loss_cls: 2.9316 loss_bbox: 1.4317 +2024/10/29 10:03:11 - mmengine - INFO - Epoch(train) [23][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:57:38 time: 0.4064 data_time: 0.0372 memory: 4652 grad_norm: 2.8503 loss: 4.4868 loss_cls: 2.9820 loss_bbox: 1.5048 +2024/10/29 10:03:32 - mmengine - INFO - Epoch(train) [23][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:57:15 time: 0.4155 data_time: 0.0371 memory: 4652 grad_norm: 2.7612 loss: 4.3616 loss_cls: 2.8946 loss_bbox: 1.4671 +2024/10/29 10:03:52 - mmengine - INFO - Epoch(train) [23][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:56:49 time: 0.4038 data_time: 0.0365 memory: 4652 grad_norm: 2.8781 loss: 4.5381 loss_cls: 3.0102 loss_bbox: 1.5279 +2024/10/29 10:03:54 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 10:03:54 - mmengine - INFO - Saving checkpoint at 23 epochs +2024/10/29 10:04:21 - mmengine - INFO - Epoch(train) [24][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:56:28 time: 0.4284 data_time: 0.0544 memory: 4652 grad_norm: 2.6922 loss: 4.4505 loss_cls: 2.9474 loss_bbox: 1.5031 +2024/10/29 10:04:42 - mmengine - INFO - Epoch(train) [24][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:56:05 time: 0.4152 data_time: 0.0430 memory: 4652 grad_norm: 2.7984 loss: 4.4004 loss_cls: 2.9436 loss_bbox: 1.4567 +2024/10/29 10:05:02 - mmengine - INFO - Epoch(train) [24][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:55:38 time: 0.4007 data_time: 0.0366 memory: 4652 grad_norm: 2.9234 loss: 4.4077 loss_cls: 2.9517 loss_bbox: 1.4561 +2024/10/29 10:05:25 - mmengine - INFO - Epoch(train) [24][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:55:27 time: 0.4672 data_time: 0.0943 memory: 4652 grad_norm: 2.8594 loss: 4.4133 loss_cls: 2.9601 loss_bbox: 1.4532 +2024/10/29 10:05:46 - mmengine - INFO - Epoch(train) [24][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:55:04 time: 0.4184 data_time: 0.0372 memory: 4652 grad_norm: 2.6207 loss: 4.3674 loss_cls: 2.9341 loss_bbox: 1.4333 +2024/10/29 10:06:06 - mmengine - INFO - Epoch(train) [24][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:54:36 time: 0.3947 data_time: 0.0373 memory: 4652 grad_norm: 2.6549 loss: 4.4349 loss_cls: 2.9473 loss_bbox: 1.4876 +2024/10/29 10:06:28 - mmengine - INFO - Epoch(train) [24][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:54:17 time: 0.4358 data_time: 0.0546 memory: 4652 grad_norm: 2.9187 loss: 4.3459 loss_cls: 2.8986 loss_bbox: 1.4474 +2024/10/29 10:06:48 - mmengine - INFO - Epoch(train) [24][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:53:53 time: 0.4096 data_time: 0.0461 memory: 4652 grad_norm: 2.9927 loss: 4.4297 loss_cls: 2.9173 loss_bbox: 1.5124 +2024/10/29 10:07:09 - mmengine - INFO - Epoch(train) [24][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:53:30 time: 0.4184 data_time: 0.0431 memory: 4652 grad_norm: 2.6680 loss: 4.4380 loss_cls: 2.9579 loss_bbox: 1.4801 +2024/10/29 10:07:30 - mmengine - INFO - Epoch(train) [24][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:53:05 time: 0.4101 data_time: 0.0376 memory: 4652 grad_norm: 2.7230 loss: 4.5135 loss_cls: 3.0102 loss_bbox: 1.5033 +2024/10/29 10:07:50 - mmengine - INFO - Epoch(train) [24][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:52:38 time: 0.4000 data_time: 0.0402 memory: 4652 grad_norm: 2.8445 loss: 4.4183 loss_cls: 2.9512 loss_bbox: 1.4671 +2024/10/29 10:08:11 - mmengine - INFO - Epoch(train) [24][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:52:16 time: 0.4194 data_time: 0.0466 memory: 4652 grad_norm: 2.6104 loss: 4.3881 loss_cls: 2.9377 loss_bbox: 1.4505 +2024/10/29 10:08:31 - mmengine - INFO - Epoch(train) [24][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:51:50 time: 0.4051 data_time: 0.0447 memory: 4652 grad_norm: 2.8781 loss: 4.4043 loss_cls: 2.9405 loss_bbox: 1.4638 +2024/10/29 10:08:52 - mmengine - INFO - Epoch(train) [24][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:51:30 time: 0.4281 data_time: 0.0512 memory: 4652 grad_norm: 2.5802 loss: 4.4593 loss_cls: 2.9697 loss_bbox: 1.4896 +2024/10/29 10:09:14 - mmengine - INFO - Epoch(train) [24][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:51:08 time: 0.4221 data_time: 0.0397 memory: 4652 grad_norm: 2.6369 loss: 4.4002 loss_cls: 2.9444 loss_bbox: 1.4558 +2024/10/29 10:09:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 10:09:34 - mmengine - INFO - Epoch(train) [24][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:50:43 time: 0.4066 data_time: 0.0367 memory: 4652 grad_norm: 2.9017 loss: 4.3697 loss_cls: 2.8987 loss_bbox: 1.4709 +2024/10/29 10:09:55 - mmengine - INFO - Epoch(train) [24][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:50:20 time: 0.4190 data_time: 0.0380 memory: 4652 grad_norm: 2.7803 loss: 4.4436 loss_cls: 2.9556 loss_bbox: 1.4881 +2024/10/29 10:10:15 - mmengine - INFO - Epoch(train) [24][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:49:53 time: 0.3985 data_time: 0.0385 memory: 4652 grad_norm: 2.8511 loss: 4.4416 loss_cls: 2.9566 loss_bbox: 1.4850 +2024/10/29 10:10:36 - mmengine - INFO - Epoch(train) [24][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:49:32 time: 0.4270 data_time: 0.0425 memory: 4652 grad_norm: 2.7494 loss: 4.4804 loss_cls: 2.9638 loss_bbox: 1.5167 +2024/10/29 10:10:57 - mmengine - INFO - Epoch(train) [24][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:49:07 time: 0.4071 data_time: 0.0387 memory: 4652 grad_norm: 2.6840 loss: 4.4111 loss_cls: 2.9412 loss_bbox: 1.4699 +2024/10/29 10:11:17 - mmengine - INFO - Epoch(train) [24][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:48:43 time: 0.4100 data_time: 0.0465 memory: 4652 grad_norm: 2.6586 loss: 4.4583 loss_cls: 2.9597 loss_bbox: 1.4986 +2024/10/29 10:11:38 - mmengine - INFO - Epoch(train) [24][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:48:21 time: 0.4219 data_time: 0.0441 memory: 4652 grad_norm: 3.0943 loss: 4.4872 loss_cls: 2.9641 loss_bbox: 1.5231 +2024/10/29 10:11:58 - mmengine - INFO - Epoch(train) [24][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:47:55 time: 0.4039 data_time: 0.0399 memory: 4652 grad_norm: 2.5507 loss: 4.3946 loss_cls: 2.9269 loss_bbox: 1.4677 +2024/10/29 10:12:19 - mmengine - INFO - Epoch(train) [24][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:47:33 time: 0.4226 data_time: 0.0400 memory: 4652 grad_norm: 2.7198 loss: 4.5938 loss_cls: 3.0273 loss_bbox: 1.5665 +2024/10/29 10:12:40 - mmengine - INFO - Epoch(train) [24][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:47:09 time: 0.4102 data_time: 0.0444 memory: 4652 grad_norm: 2.8227 loss: 4.4140 loss_cls: 2.9467 loss_bbox: 1.4673 +2024/10/29 10:13:01 - mmengine - INFO - Epoch(train) [24][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:46:46 time: 0.4169 data_time: 0.0399 memory: 4652 grad_norm: 2.6687 loss: 4.3599 loss_cls: 2.9181 loss_bbox: 1.4418 +2024/10/29 10:13:21 - mmengine - INFO - Epoch(train) [24][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:46:21 time: 0.4096 data_time: 0.0413 memory: 4652 grad_norm: 2.7486 loss: 4.4287 loss_cls: 2.9268 loss_bbox: 1.5019 +2024/10/29 10:13:42 - mmengine - INFO - Epoch(train) [24][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:45:58 time: 0.4155 data_time: 0.0459 memory: 4652 grad_norm: 2.8527 loss: 4.4011 loss_cls: 2.9277 loss_bbox: 1.4735 +2024/10/29 10:14:02 - mmengine - INFO - Epoch(train) [24][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:45:33 time: 0.4073 data_time: 0.0410 memory: 4652 grad_norm: 2.8349 loss: 4.3971 loss_cls: 2.9189 loss_bbox: 1.4782 +2024/10/29 10:14:25 - mmengine - INFO - Epoch(train) [24][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:45:18 time: 0.4539 data_time: 0.0871 memory: 4652 grad_norm: 2.7371 loss: 4.3748 loss_cls: 2.9010 loss_bbox: 1.4738 +2024/10/29 10:14:46 - mmengine - INFO - Epoch(train) [24][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:44:57 time: 0.4230 data_time: 0.0514 memory: 4652 grad_norm: 2.5970 loss: 4.3294 loss_cls: 2.9008 loss_bbox: 1.4286 +2024/10/29 10:15:07 - mmengine - INFO - Epoch(train) [24][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:44:32 time: 0.4073 data_time: 0.0391 memory: 4652 grad_norm: 2.9882 loss: 4.3473 loss_cls: 2.9283 loss_bbox: 1.4190 +2024/10/29 10:15:28 - mmengine - INFO - Epoch(train) [24][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:44:12 time: 0.4298 data_time: 0.0414 memory: 4652 grad_norm: 2.8182 loss: 4.4968 loss_cls: 3.0083 loss_bbox: 1.4886 +2024/10/29 10:15:49 - mmengine - INFO - Epoch(train) [24][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:43:47 time: 0.4080 data_time: 0.0434 memory: 4652 grad_norm: 2.7946 loss: 4.4063 loss_cls: 2.9733 loss_bbox: 1.4330 +2024/10/29 10:16:10 - mmengine - INFO - Epoch(train) [24][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:43:26 time: 0.4258 data_time: 0.0507 memory: 4652 grad_norm: 2.5889 loss: 4.4387 loss_cls: 2.9399 loss_bbox: 1.4988 +2024/10/29 10:16:13 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 10:16:30 - mmengine - INFO - Epoch(train) [24][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:43:00 time: 0.4050 data_time: 0.0477 memory: 4652 grad_norm: 2.7879 loss: 4.4386 loss_cls: 2.9531 loss_bbox: 1.4855 +2024/10/29 10:16:50 - mmengine - INFO - Epoch(train) [24][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:42:35 time: 0.4065 data_time: 0.0450 memory: 4652 grad_norm: 2.7217 loss: 4.3538 loss_cls: 2.9060 loss_bbox: 1.4478 +2024/10/29 10:17:12 - mmengine - INFO - Epoch(train) [24][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:42:17 time: 0.4380 data_time: 0.0531 memory: 4652 grad_norm: 2.6116 loss: 4.5257 loss_cls: 3.0557 loss_bbox: 1.4701 +2024/10/29 10:17:32 - mmengine - INFO - Epoch(train) [24][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:41:50 time: 0.3976 data_time: 0.0379 memory: 4652 grad_norm: 2.7849 loss: 4.3365 loss_cls: 2.9149 loss_bbox: 1.4216 +2024/10/29 10:17:53 - mmengine - INFO - Epoch(train) [24][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:41:27 time: 0.4172 data_time: 0.0382 memory: 4652 grad_norm: 2.6853 loss: 4.4547 loss_cls: 2.9816 loss_bbox: 1.4731 +2024/10/29 10:18:14 - mmengine - INFO - Epoch(train) [24][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:41:03 time: 0.4111 data_time: 0.0410 memory: 4652 grad_norm: 2.5654 loss: 4.4596 loss_cls: 2.9709 loss_bbox: 1.4887 +2024/10/29 10:18:34 - mmengine - INFO - Epoch(train) [24][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:40:36 time: 0.4020 data_time: 0.0384 memory: 4652 grad_norm: 2.9882 loss: 4.4317 loss_cls: 2.9624 loss_bbox: 1.4693 +2024/10/29 10:18:55 - mmengine - INFO - Epoch(train) [24][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:40:14 time: 0.4177 data_time: 0.0504 memory: 4652 grad_norm: 2.8412 loss: 4.3903 loss_cls: 2.9565 loss_bbox: 1.4337 +2024/10/29 10:19:15 - mmengine - INFO - Epoch(train) [24][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:39:47 time: 0.3980 data_time: 0.0391 memory: 4652 grad_norm: 2.6127 loss: 4.4918 loss_cls: 3.0033 loss_bbox: 1.4885 +2024/10/29 10:19:36 - mmengine - INFO - Epoch(train) [24][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:39:27 time: 0.4302 data_time: 0.0493 memory: 4652 grad_norm: 2.5713 loss: 4.2976 loss_cls: 2.8757 loss_bbox: 1.4219 +2024/10/29 10:19:57 - mmengine - INFO - Epoch(train) [24][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:39:02 time: 0.4100 data_time: 0.0504 memory: 4652 grad_norm: 2.9048 loss: 4.4678 loss_cls: 2.9991 loss_bbox: 1.4687 +2024/10/29 10:20:17 - mmengine - INFO - Epoch(train) [24][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:38:37 time: 0.4039 data_time: 0.0391 memory: 4652 grad_norm: 2.6835 loss: 4.5210 loss_cls: 3.0187 loss_bbox: 1.5023 +2024/10/29 10:20:37 - mmengine - INFO - Epoch(train) [24][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:38:13 time: 0.4132 data_time: 0.0479 memory: 4652 grad_norm: 2.8231 loss: 4.4529 loss_cls: 2.9595 loss_bbox: 1.4935 +2024/10/29 10:20:58 - mmengine - INFO - Epoch(train) [24][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:37:49 time: 0.4104 data_time: 0.0459 memory: 4652 grad_norm: 2.6776 loss: 4.5130 loss_cls: 3.0086 loss_bbox: 1.5044 +2024/10/29 10:21:19 - mmengine - INFO - Epoch(train) [24][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:37:27 time: 0.4241 data_time: 0.0387 memory: 4652 grad_norm: 2.5154 loss: 4.4166 loss_cls: 2.9758 loss_bbox: 1.4408 +2024/10/29 10:21:39 - mmengine - INFO - Epoch(train) [24][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:37:00 time: 0.3951 data_time: 0.0386 memory: 4652 grad_norm: 2.6992 loss: 4.3627 loss_cls: 2.9451 loss_bbox: 1.4176 +2024/10/29 10:21:59 - mmengine - INFO - Epoch(train) [24][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:36:33 time: 0.4003 data_time: 0.0384 memory: 4652 grad_norm: 2.6205 loss: 4.4157 loss_cls: 2.9375 loss_bbox: 1.4782 +2024/10/29 10:22:20 - mmengine - INFO - Epoch(train) [24][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:36:13 time: 0.4286 data_time: 0.0548 memory: 4652 grad_norm: 2.8657 loss: 4.5303 loss_cls: 3.0043 loss_bbox: 1.5260 +2024/10/29 10:22:41 - mmengine - INFO - Epoch(train) [24][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:35:48 time: 0.4059 data_time: 0.0400 memory: 4652 grad_norm: 2.6286 loss: 4.3251 loss_cls: 2.9174 loss_bbox: 1.4077 +2024/10/29 10:23:02 - mmengine - INFO - Epoch(train) [24][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:35:29 time: 0.4346 data_time: 0.0446 memory: 4652 grad_norm: 2.7588 loss: 4.4173 loss_cls: 2.9664 loss_bbox: 1.4509 +2024/10/29 10:23:09 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 10:23:26 - mmengine - INFO - Epoch(train) [24][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:35:17 time: 0.4666 data_time: 0.1009 memory: 4652 grad_norm: 2.7533 loss: 4.4019 loss_cls: 2.9427 loss_bbox: 1.4592 +2024/10/29 10:23:47 - mmengine - INFO - Epoch(train) [24][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:34:53 time: 0.4149 data_time: 0.0456 memory: 4652 grad_norm: 2.7031 loss: 4.4266 loss_cls: 2.9833 loss_bbox: 1.4434 +2024/10/29 10:24:08 - mmengine - INFO - Epoch(train) [24][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:34:31 time: 0.4187 data_time: 0.0400 memory: 4652 grad_norm: 2.7661 loss: 4.4167 loss_cls: 2.9440 loss_bbox: 1.4727 +2024/10/29 10:24:28 - mmengine - INFO - Epoch(train) [24][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:34:06 time: 0.4079 data_time: 0.0384 memory: 4652 grad_norm: 2.6899 loss: 4.3883 loss_cls: 2.9025 loss_bbox: 1.4858 +2024/10/29 10:24:49 - mmengine - INFO - Epoch(train) [24][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:33:45 time: 0.4266 data_time: 0.0401 memory: 4652 grad_norm: 2.8317 loss: 4.4421 loss_cls: 2.9989 loss_bbox: 1.4432 +2024/10/29 10:25:09 - mmengine - INFO - Epoch(train) [24][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:33:19 time: 0.3996 data_time: 0.0399 memory: 4652 grad_norm: 2.6768 loss: 4.4561 loss_cls: 3.0027 loss_bbox: 1.4533 +2024/10/29 10:25:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 10:25:11 - mmengine - INFO - Saving checkpoint at 24 epochs +2024/10/29 10:25:39 - mmengine - INFO - Epoch(train) [25][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:32:59 time: 0.4423 data_time: 0.0573 memory: 4652 grad_norm: 2.8476 loss: 4.4428 loss_cls: 2.9924 loss_bbox: 1.4504 +2024/10/29 10:25:59 - mmengine - INFO - Epoch(train) [25][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:32:34 time: 0.4075 data_time: 0.0405 memory: 4652 grad_norm: 2.6016 loss: 4.3553 loss_cls: 2.8691 loss_bbox: 1.4861 +2024/10/29 10:26:19 - mmengine - INFO - Epoch(train) [25][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:32:09 time: 0.4085 data_time: 0.0472 memory: 4652 grad_norm: 2.6280 loss: 4.3716 loss_cls: 2.8978 loss_bbox: 1.4738 +2024/10/29 10:26:41 - mmengine - INFO - Epoch(train) [25][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:31:49 time: 0.4276 data_time: 0.0422 memory: 4652 grad_norm: 2.7047 loss: 4.5117 loss_cls: 3.0036 loss_bbox: 1.5081 +2024/10/29 10:27:01 - mmengine - INFO - Epoch(train) [25][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:31:24 time: 0.4068 data_time: 0.0433 memory: 4652 grad_norm: 2.9543 loss: 4.4356 loss_cls: 2.9767 loss_bbox: 1.4588 +2024/10/29 10:27:22 - mmengine - INFO - Epoch(train) [25][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:31:03 time: 0.4276 data_time: 0.0514 memory: 4652 grad_norm: 2.8242 loss: 4.3797 loss_cls: 2.9317 loss_bbox: 1.4480 +2024/10/29 10:27:44 - mmengine - INFO - Epoch(train) [25][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:30:42 time: 0.4235 data_time: 0.0422 memory: 4652 grad_norm: 2.6106 loss: 4.4100 loss_cls: 2.9480 loss_bbox: 1.4619 +2024/10/29 10:28:04 - mmengine - INFO - Epoch(train) [25][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:30:18 time: 0.4092 data_time: 0.0441 memory: 4652 grad_norm: 2.7380 loss: 4.5484 loss_cls: 3.0445 loss_bbox: 1.5039 +2024/10/29 10:28:26 - mmengine - INFO - Epoch(train) [25][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:29:57 time: 0.4282 data_time: 0.0467 memory: 4652 grad_norm: 2.7440 loss: 4.4304 loss_cls: 2.9498 loss_bbox: 1.4805 +2024/10/29 10:28:45 - mmengine - INFO - Epoch(train) [25][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:29:29 time: 0.3906 data_time: 0.0375 memory: 4652 grad_norm: 2.8425 loss: 4.3357 loss_cls: 2.9037 loss_bbox: 1.4319 +2024/10/29 10:29:06 - mmengine - INFO - Epoch(train) [25][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:29:05 time: 0.4140 data_time: 0.0379 memory: 4652 grad_norm: 2.8282 loss: 4.4314 loss_cls: 2.9386 loss_bbox: 1.4929 +2024/10/29 10:29:26 - mmengine - INFO - Epoch(train) [25][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:28:40 time: 0.4062 data_time: 0.0384 memory: 4652 grad_norm: 2.7637 loss: 4.3258 loss_cls: 2.9037 loss_bbox: 1.4221 +2024/10/29 10:29:47 - mmengine - INFO - Epoch(train) [25][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:28:17 time: 0.4148 data_time: 0.0428 memory: 4652 grad_norm: 2.5623 loss: 4.3418 loss_cls: 2.8911 loss_bbox: 1.4506 +2024/10/29 10:30:08 - mmengine - INFO - Epoch(train) [25][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:27:57 time: 0.4302 data_time: 0.0407 memory: 4652 grad_norm: 2.6872 loss: 4.5437 loss_cls: 3.0024 loss_bbox: 1.5413 +2024/10/29 10:30:10 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 10:30:28 - mmengine - INFO - Epoch(train) [25][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:27:31 time: 0.4005 data_time: 0.0458 memory: 4652 grad_norm: 2.9547 loss: 4.4249 loss_cls: 2.9319 loss_bbox: 1.4930 +2024/10/29 10:30:50 - mmengine - INFO - Epoch(train) [25][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:27:10 time: 0.4270 data_time: 0.0463 memory: 4652 grad_norm: 2.6552 loss: 4.3676 loss_cls: 2.9427 loss_bbox: 1.4248 +2024/10/29 10:31:10 - mmengine - INFO - Epoch(train) [25][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:26:46 time: 0.4121 data_time: 0.0447 memory: 4652 grad_norm: 2.8211 loss: 4.4834 loss_cls: 2.9894 loss_bbox: 1.4940 +2024/10/29 10:31:31 - mmengine - INFO - Epoch(train) [25][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:26:22 time: 0.4104 data_time: 0.0423 memory: 4652 grad_norm: 2.6904 loss: 4.4317 loss_cls: 2.9376 loss_bbox: 1.4941 +2024/10/29 10:31:52 - mmengine - INFO - Epoch(train) [25][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:26:03 time: 0.4320 data_time: 0.0478 memory: 4652 grad_norm: 2.7725 loss: 4.4445 loss_cls: 2.9463 loss_bbox: 1.4983 +2024/10/29 10:32:13 - mmengine - INFO - Epoch(train) [25][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:25:37 time: 0.4025 data_time: 0.0479 memory: 4652 grad_norm: 2.7801 loss: 4.3621 loss_cls: 2.9420 loss_bbox: 1.4202 +2024/10/29 10:32:34 - mmengine - INFO - Epoch(train) [25][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:25:16 time: 0.4280 data_time: 0.0430 memory: 4652 grad_norm: 2.6476 loss: 4.4906 loss_cls: 3.0221 loss_bbox: 1.4685 +2024/10/29 10:32:54 - mmengine - INFO - Epoch(train) [25][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:24:52 time: 0.4078 data_time: 0.0381 memory: 4652 grad_norm: 2.6776 loss: 4.4335 loss_cls: 2.9500 loss_bbox: 1.4835 +2024/10/29 10:33:15 - mmengine - INFO - Epoch(train) [25][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:24:28 time: 0.4128 data_time: 0.0454 memory: 4652 grad_norm: 2.8779 loss: 4.3956 loss_cls: 2.9591 loss_bbox: 1.4365 +2024/10/29 10:33:36 - mmengine - INFO - Epoch(train) [25][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:24:06 time: 0.4198 data_time: 0.0409 memory: 4652 grad_norm: 2.8063 loss: 4.3924 loss_cls: 2.9415 loss_bbox: 1.4508 +2024/10/29 10:33:56 - mmengine - INFO - Epoch(train) [25][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:23:41 time: 0.4084 data_time: 0.0421 memory: 4652 grad_norm: 2.7841 loss: 4.4664 loss_cls: 2.9700 loss_bbox: 1.4963 +2024/10/29 10:34:17 - mmengine - INFO - Epoch(train) [25][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:23:18 time: 0.4146 data_time: 0.0408 memory: 4652 grad_norm: 2.8424 loss: 4.2959 loss_cls: 2.8833 loss_bbox: 1.4127 +2024/10/29 10:34:37 - mmengine - INFO - Epoch(train) [25][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:22:53 time: 0.4046 data_time: 0.0406 memory: 4652 grad_norm: 2.8771 loss: 4.3746 loss_cls: 2.9343 loss_bbox: 1.4403 +2024/10/29 10:34:59 - mmengine - INFO - Epoch(train) [25][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:22:31 time: 0.4225 data_time: 0.0379 memory: 4652 grad_norm: 2.7259 loss: 4.4436 loss_cls: 2.9587 loss_bbox: 1.4850 +2024/10/29 10:35:19 - mmengine - INFO - Epoch(train) [25][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:22:08 time: 0.4145 data_time: 0.0359 memory: 4652 grad_norm: 2.6640 loss: 4.4213 loss_cls: 2.9451 loss_bbox: 1.4762 +2024/10/29 10:35:39 - mmengine - INFO - Epoch(train) [25][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:21:42 time: 0.4007 data_time: 0.0358 memory: 4652 grad_norm: 2.6871 loss: 4.5745 loss_cls: 3.0538 loss_bbox: 1.5207 +2024/10/29 10:36:01 - mmengine - INFO - Epoch(train) [25][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:21:22 time: 0.4334 data_time: 0.0398 memory: 4652 grad_norm: 2.6842 loss: 4.5633 loss_cls: 3.0280 loss_bbox: 1.5353 +2024/10/29 10:36:21 - mmengine - INFO - Epoch(train) [25][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:20:58 time: 0.4063 data_time: 0.0397 memory: 4652 grad_norm: 2.7679 loss: 4.4402 loss_cls: 2.9542 loss_bbox: 1.4860 +2024/10/29 10:36:42 - mmengine - INFO - Epoch(train) [25][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:20:35 time: 0.4200 data_time: 0.0437 memory: 4652 grad_norm: 2.8583 loss: 4.5049 loss_cls: 2.9947 loss_bbox: 1.5101 +2024/10/29 10:37:04 - mmengine - INFO - Epoch(train) [25][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:20:15 time: 0.4287 data_time: 0.0369 memory: 4652 grad_norm: 2.6943 loss: 4.4300 loss_cls: 2.9343 loss_bbox: 1.4957 +2024/10/29 10:37:06 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 10:37:25 - mmengine - INFO - Epoch(train) [25][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:19:54 time: 0.4259 data_time: 0.0586 memory: 4652 grad_norm: 2.7752 loss: 4.4458 loss_cls: 2.9706 loss_bbox: 1.4751 +2024/10/29 10:37:47 - mmengine - INFO - Epoch(train) [25][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:19:34 time: 0.4302 data_time: 0.0377 memory: 4652 grad_norm: 2.6305 loss: 4.4472 loss_cls: 2.9581 loss_bbox: 1.4891 +2024/10/29 10:38:07 - mmengine - INFO - Epoch(train) [25][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:19:10 time: 0.4096 data_time: 0.0380 memory: 4652 grad_norm: 2.6766 loss: 4.4831 loss_cls: 3.0007 loss_bbox: 1.4825 +2024/10/29 10:38:28 - mmengine - INFO - Epoch(train) [25][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:18:48 time: 0.4199 data_time: 0.0352 memory: 4652 grad_norm: 2.7594 loss: 4.5673 loss_cls: 3.0084 loss_bbox: 1.5589 +2024/10/29 10:38:49 - mmengine - INFO - Epoch(train) [25][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:18:27 time: 0.4251 data_time: 0.0426 memory: 4652 grad_norm: 2.7120 loss: 4.4309 loss_cls: 2.9397 loss_bbox: 1.4912 +2024/10/29 10:39:10 - mmengine - INFO - Epoch(train) [25][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:18:03 time: 0.4079 data_time: 0.0361 memory: 4652 grad_norm: 2.8739 loss: 4.5188 loss_cls: 2.9993 loss_bbox: 1.5194 +2024/10/29 10:39:31 - mmengine - INFO - Epoch(train) [25][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:17:40 time: 0.4169 data_time: 0.0360 memory: 4652 grad_norm: 2.6453 loss: 4.4478 loss_cls: 2.9355 loss_bbox: 1.5122 +2024/10/29 10:39:51 - mmengine - INFO - Epoch(train) [25][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:17:16 time: 0.4136 data_time: 0.0466 memory: 4652 grad_norm: 2.8706 loss: 4.4350 loss_cls: 2.9475 loss_bbox: 1.4874 +2024/10/29 10:40:13 - mmengine - INFO - Epoch(train) [25][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:16:56 time: 0.4289 data_time: 0.0463 memory: 4652 grad_norm: 2.7011 loss: 4.4476 loss_cls: 2.9956 loss_bbox: 1.4521 +2024/10/29 10:40:33 - mmengine - INFO - Epoch(train) [25][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:16:31 time: 0.4070 data_time: 0.0377 memory: 4652 grad_norm: 2.6183 loss: 4.3647 loss_cls: 2.9239 loss_bbox: 1.4409 +2024/10/29 10:40:53 - mmengine - INFO - Epoch(train) [25][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:16:06 time: 0.4038 data_time: 0.0396 memory: 4652 grad_norm: 2.7373 loss: 4.4591 loss_cls: 2.9690 loss_bbox: 1.4901 +2024/10/29 10:41:14 - mmengine - INFO - Epoch(train) [25][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:15:44 time: 0.4188 data_time: 0.0401 memory: 4652 grad_norm: 2.7178 loss: 4.3902 loss_cls: 2.9595 loss_bbox: 1.4307 +2024/10/29 10:41:34 - mmengine - INFO - Epoch(train) [25][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:15:18 time: 0.4049 data_time: 0.0373 memory: 4652 grad_norm: 3.0393 loss: 4.4357 loss_cls: 2.9738 loss_bbox: 1.4619 +2024/10/29 10:41:56 - mmengine - INFO - Epoch(train) [25][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:14:58 time: 0.4278 data_time: 0.0519 memory: 4652 grad_norm: 2.7901 loss: 4.4191 loss_cls: 2.9480 loss_bbox: 1.4711 +2024/10/29 10:42:17 - mmengine - INFO - Epoch(train) [25][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:14:34 time: 0.4125 data_time: 0.0404 memory: 4652 grad_norm: 2.5569 loss: 4.4948 loss_cls: 2.9820 loss_bbox: 1.5128 +2024/10/29 10:42:37 - mmengine - INFO - Epoch(train) [25][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:14:11 time: 0.4116 data_time: 0.0475 memory: 4652 grad_norm: 2.8785 loss: 4.5774 loss_cls: 3.0435 loss_bbox: 1.5339 +2024/10/29 10:42:57 - mmengine - INFO - Epoch(train) [25][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:13:46 time: 0.4055 data_time: 0.0401 memory: 4652 grad_norm: 2.9046 loss: 4.2870 loss_cls: 2.8700 loss_bbox: 1.4169 +2024/10/29 10:43:18 - mmengine - INFO - Epoch(train) [25][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:13:21 time: 0.4087 data_time: 0.0391 memory: 4652 grad_norm: 2.7007 loss: 4.3765 loss_cls: 2.9220 loss_bbox: 1.4546 +2024/10/29 10:43:39 - mmengine - INFO - Epoch(train) [25][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:12:59 time: 0.4176 data_time: 0.0384 memory: 4652 grad_norm: 2.8015 loss: 4.3589 loss_cls: 2.9602 loss_bbox: 1.3987 +2024/10/29 10:43:59 - mmengine - INFO - Epoch(train) [25][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:12:34 time: 0.4074 data_time: 0.0393 memory: 4652 grad_norm: 2.6295 loss: 4.3620 loss_cls: 2.9363 loss_bbox: 1.4257 +2024/10/29 10:44:01 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 10:44:20 - mmengine - INFO - Epoch(train) [25][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:12:11 time: 0.4131 data_time: 0.0433 memory: 4652 grad_norm: 3.0178 loss: 4.4673 loss_cls: 2.9900 loss_bbox: 1.4773 +2024/10/29 10:44:40 - mmengine - INFO - Epoch(train) [25][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:11:46 time: 0.4084 data_time: 0.0441 memory: 4652 grad_norm: 2.9740 loss: 4.5190 loss_cls: 2.9936 loss_bbox: 1.5254 +2024/10/29 10:45:01 - mmengine - INFO - Epoch(train) [25][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:11:22 time: 0.4116 data_time: 0.0387 memory: 4652 grad_norm: 2.5721 loss: 4.3671 loss_cls: 2.9334 loss_bbox: 1.4336 +2024/10/29 10:45:22 - mmengine - INFO - Epoch(train) [25][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:11:03 time: 0.4347 data_time: 0.0419 memory: 4652 grad_norm: 2.8738 loss: 4.4861 loss_cls: 3.0006 loss_bbox: 1.4855 +2024/10/29 10:45:43 - mmengine - INFO - Epoch(train) [25][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:10:39 time: 0.4067 data_time: 0.0396 memory: 4652 grad_norm: 2.6586 loss: 4.3123 loss_cls: 2.9337 loss_bbox: 1.3786 +2024/10/29 10:46:04 - mmengine - INFO - Epoch(train) [25][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:10:19 time: 0.4321 data_time: 0.0448 memory: 4652 grad_norm: 2.9175 loss: 4.4075 loss_cls: 2.9597 loss_bbox: 1.4478 +2024/10/29 10:46:25 - mmengine - INFO - Epoch(train) [25][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:09:56 time: 0.4121 data_time: 0.0359 memory: 4652 grad_norm: 2.8339 loss: 4.3527 loss_cls: 2.9312 loss_bbox: 1.4214 +2024/10/29 10:46:27 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 10:46:27 - mmengine - INFO - Saving checkpoint at 25 epochs +2024/10/29 10:46:36 - mmengine - INFO - Epoch(val) [25][50/79] eta: 0:00:02 time: 0.0748 data_time: 0.0089 memory: 4652 +2024/10/29 10:46:56 - mmengine - INFO - Evaluating bbox... +2024/10/29 10:48:21 - mmengine - INFO - bbox_mAP_copypaste: 0.200 0.355 0.203 0.054 0.238 0.316 +2024/10/29 10:48:23 - mmengine - INFO - Epoch(val) [25][79/79] coco/bbox_mAP: 0.2000 coco/bbox_mAP_50: 0.3550 coco/bbox_mAP_75: 0.2030 coco/bbox_mAP_s: 0.0540 coco/bbox_mAP_m: 0.2380 coco/bbox_mAP_l: 0.3160 data_time: 0.0084 time: 0.0736 +2024/10/29 10:48:45 - mmengine - INFO - Epoch(train) [26][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:09:36 time: 0.4441 data_time: 0.0679 memory: 4652 grad_norm: 2.8948 loss: 4.3369 loss_cls: 2.8925 loss_bbox: 1.4443 +2024/10/29 10:49:06 - mmengine - INFO - Epoch(train) [26][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:09:12 time: 0.4122 data_time: 0.0369 memory: 4652 grad_norm: 2.7962 loss: 4.4370 loss_cls: 2.9561 loss_bbox: 1.4810 +2024/10/29 10:49:26 - mmengine - INFO - Epoch(train) [26][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:08:47 time: 0.4048 data_time: 0.0359 memory: 4652 grad_norm: 2.6395 loss: 4.3964 loss_cls: 2.9445 loss_bbox: 1.4519 +2024/10/29 10:49:46 - mmengine - INFO - Epoch(train) [26][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:08:23 time: 0.4072 data_time: 0.0378 memory: 4652 grad_norm: 2.7290 loss: 4.4499 loss_cls: 2.9683 loss_bbox: 1.4816 +2024/10/29 10:50:07 - mmengine - INFO - Epoch(train) [26][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:07:58 time: 0.4048 data_time: 0.0381 memory: 4652 grad_norm: 2.7196 loss: 4.4296 loss_cls: 2.9616 loss_bbox: 1.4680 +2024/10/29 10:50:27 - mmengine - INFO - Epoch(train) [26][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:07:34 time: 0.4145 data_time: 0.0389 memory: 4652 grad_norm: 2.6692 loss: 4.3952 loss_cls: 2.9283 loss_bbox: 1.4669 +2024/10/29 10:50:49 - mmengine - INFO - Epoch(train) [26][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:07:16 time: 0.4377 data_time: 0.0476 memory: 4652 grad_norm: 2.7321 loss: 4.4496 loss_cls: 2.9626 loss_bbox: 1.4871 +2024/10/29 10:51:10 - mmengine - INFO - Epoch(train) [26][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:06:54 time: 0.4193 data_time: 0.0442 memory: 4652 grad_norm: 2.5861 loss: 4.4558 loss_cls: 2.9465 loss_bbox: 1.5094 +2024/10/29 10:51:31 - mmengine - INFO - Epoch(train) [26][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:06:33 time: 0.4236 data_time: 0.0374 memory: 4652 grad_norm: 2.7995 loss: 4.4607 loss_cls: 2.9738 loss_bbox: 1.4869 +2024/10/29 10:51:52 - mmengine - INFO - Epoch(train) [26][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:06:09 time: 0.4119 data_time: 0.0399 memory: 4652 grad_norm: 2.8211 loss: 4.4805 loss_cls: 3.0019 loss_bbox: 1.4786 +2024/10/29 10:52:13 - mmengine - INFO - Epoch(train) [26][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:05:46 time: 0.4162 data_time: 0.0370 memory: 4652 grad_norm: 2.6623 loss: 4.3149 loss_cls: 2.8639 loss_bbox: 1.4510 +2024/10/29 10:52:34 - mmengine - INFO - Epoch(train) [26][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:05:25 time: 0.4226 data_time: 0.0384 memory: 4652 grad_norm: 2.8826 loss: 4.4077 loss_cls: 2.9496 loss_bbox: 1.4580 +2024/10/29 10:52:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 10:52:55 - mmengine - INFO - Epoch(train) [26][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:05:02 time: 0.4159 data_time: 0.0404 memory: 4652 grad_norm: 2.8306 loss: 4.4033 loss_cls: 2.9218 loss_bbox: 1.4814 +2024/10/29 10:53:16 - mmengine - INFO - Epoch(train) [26][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:04:40 time: 0.4178 data_time: 0.0444 memory: 4652 grad_norm: 2.9293 loss: 4.3540 loss_cls: 2.9094 loss_bbox: 1.4446 +2024/10/29 10:53:37 - mmengine - INFO - Epoch(train) [26][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:04:18 time: 0.4222 data_time: 0.0372 memory: 4652 grad_norm: 2.5602 loss: 4.2990 loss_cls: 2.8683 loss_bbox: 1.4307 +2024/10/29 10:53:58 - mmengine - INFO - Epoch(train) [26][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:03:57 time: 0.4253 data_time: 0.0420 memory: 4652 grad_norm: 2.6222 loss: 4.4440 loss_cls: 2.9467 loss_bbox: 1.4973 +2024/10/29 10:54:19 - mmengine - INFO - Epoch(train) [26][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:03:35 time: 0.4196 data_time: 0.0376 memory: 4652 grad_norm: 2.7402 loss: 4.3129 loss_cls: 2.9039 loss_bbox: 1.4090 +2024/10/29 10:54:40 - mmengine - INFO - Epoch(train) [26][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:03:13 time: 0.4201 data_time: 0.0398 memory: 4652 grad_norm: 2.8291 loss: 4.5095 loss_cls: 2.9939 loss_bbox: 1.5157 +2024/10/29 10:55:01 - mmengine - INFO - Epoch(train) [26][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:02:53 time: 0.4297 data_time: 0.0386 memory: 4652 grad_norm: 2.7765 loss: 4.4484 loss_cls: 2.9734 loss_bbox: 1.4750 +2024/10/29 10:55:23 - mmengine - INFO - Epoch(train) [26][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:02:32 time: 0.4223 data_time: 0.0375 memory: 4652 grad_norm: 2.8280 loss: 4.5057 loss_cls: 3.0044 loss_bbox: 1.5013 +2024/10/29 10:55:44 - mmengine - INFO - Epoch(train) [26][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:02:10 time: 0.4227 data_time: 0.0430 memory: 4652 grad_norm: 2.8928 loss: 4.4503 loss_cls: 2.9693 loss_bbox: 1.4810 +2024/10/29 10:56:06 - mmengine - INFO - Epoch(train) [26][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:01:52 time: 0.4370 data_time: 0.0375 memory: 4652 grad_norm: 2.6151 loss: 4.3839 loss_cls: 2.9421 loss_bbox: 1.4418 +2024/10/29 10:56:26 - mmengine - INFO - Epoch(train) [26][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:01:28 time: 0.4139 data_time: 0.0363 memory: 4652 grad_norm: 2.8685 loss: 4.4135 loss_cls: 2.9697 loss_bbox: 1.4438 +2024/10/29 10:56:48 - mmengine - INFO - Epoch(train) [26][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:01:08 time: 0.4295 data_time: 0.0433 memory: 4652 grad_norm: 2.7112 loss: 4.2903 loss_cls: 2.8650 loss_bbox: 1.4253 +2024/10/29 10:57:10 - mmengine - INFO - Epoch(train) [26][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:00:50 time: 0.4362 data_time: 0.0395 memory: 4652 grad_norm: 2.6547 loss: 4.3782 loss_cls: 2.9383 loss_bbox: 1.4399 +2024/10/29 10:57:31 - mmengine - INFO - Epoch(train) [26][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:00:29 time: 0.4286 data_time: 0.0373 memory: 4652 grad_norm: 2.8832 loss: 4.4690 loss_cls: 2.9938 loss_bbox: 1.4752 +2024/10/29 10:57:53 - mmengine - INFO - Epoch(train) [26][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 10:00:11 time: 0.4366 data_time: 0.0375 memory: 4652 grad_norm: 2.6916 loss: 4.4298 loss_cls: 2.9590 loss_bbox: 1.4708 +2024/10/29 10:58:14 - mmengine - INFO - Epoch(train) [26][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:59:51 time: 0.4285 data_time: 0.0455 memory: 4652 grad_norm: 3.0799 loss: 4.5152 loss_cls: 2.9783 loss_bbox: 1.5369 +2024/10/29 10:58:35 - mmengine - INFO - Epoch(train) [26][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:59:29 time: 0.4212 data_time: 0.0370 memory: 4652 grad_norm: 2.6819 loss: 4.3627 loss_cls: 2.9150 loss_bbox: 1.4478 +2024/10/29 10:58:57 - mmengine - INFO - Epoch(train) [26][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:59:08 time: 0.4253 data_time: 0.0404 memory: 4652 grad_norm: 2.6423 loss: 4.3820 loss_cls: 2.9140 loss_bbox: 1.4680 +2024/10/29 10:59:18 - mmengine - INFO - Epoch(train) [26][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:58:49 time: 0.4359 data_time: 0.0402 memory: 4652 grad_norm: 2.8152 loss: 4.4879 loss_cls: 2.9891 loss_bbox: 1.4987 +2024/10/29 10:59:40 - mmengine - INFO - Epoch(train) [26][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:58:30 time: 0.4360 data_time: 0.0379 memory: 4652 grad_norm: 2.6964 loss: 4.3811 loss_cls: 2.9034 loss_bbox: 1.4777 +2024/10/29 11:00:01 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 11:00:01 - mmengine - INFO - Epoch(train) [26][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:58:10 time: 0.4266 data_time: 0.0385 memory: 4652 grad_norm: 2.7599 loss: 4.3725 loss_cls: 2.9269 loss_bbox: 1.4456 +2024/10/29 11:00:28 - mmengine - INFO - Epoch(train) [26][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:58:08 time: 0.5226 data_time: 0.1131 memory: 4652 grad_norm: 2.7561 loss: 4.4250 loss_cls: 2.9486 loss_bbox: 1.4764 +2024/10/29 11:00:49 - mmengine - INFO - Epoch(train) [26][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:57:46 time: 0.4184 data_time: 0.0382 memory: 4652 grad_norm: 2.7983 loss: 4.3748 loss_cls: 2.8910 loss_bbox: 1.4838 +2024/10/29 11:01:10 - mmengine - INFO - Epoch(train) [26][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:57:27 time: 0.4368 data_time: 0.0471 memory: 4652 grad_norm: 2.8477 loss: 4.3995 loss_cls: 2.9432 loss_bbox: 1.4563 +2024/10/29 11:01:32 - mmengine - INFO - Epoch(train) [26][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:57:08 time: 0.4356 data_time: 0.0402 memory: 4652 grad_norm: 2.9013 loss: 4.4331 loss_cls: 2.9783 loss_bbox: 1.4548 +2024/10/29 11:01:54 - mmengine - INFO - Epoch(train) [26][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:56:48 time: 0.4297 data_time: 0.0382 memory: 4652 grad_norm: 2.7650 loss: 4.4315 loss_cls: 2.9462 loss_bbox: 1.4853 +2024/10/29 11:02:16 - mmengine - INFO - Epoch(train) [26][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:56:31 time: 0.4445 data_time: 0.0381 memory: 4652 grad_norm: 2.7723 loss: 4.4535 loss_cls: 2.9850 loss_bbox: 1.4685 +2024/10/29 11:02:37 - mmengine - INFO - Epoch(train) [26][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:56:09 time: 0.4203 data_time: 0.0390 memory: 4652 grad_norm: 2.7595 loss: 4.5046 loss_cls: 3.0207 loss_bbox: 1.4839 +2024/10/29 11:02:58 - mmengine - INFO - Epoch(train) [26][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:55:49 time: 0.4291 data_time: 0.0384 memory: 4652 grad_norm: 2.7737 loss: 4.3502 loss_cls: 2.9119 loss_bbox: 1.4383 +2024/10/29 11:03:20 - mmengine - INFO - Epoch(train) [26][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:55:31 time: 0.4377 data_time: 0.0468 memory: 4652 grad_norm: 2.7729 loss: 4.3444 loss_cls: 2.9378 loss_bbox: 1.4065 +2024/10/29 11:03:42 - mmengine - INFO - Epoch(train) [26][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:55:12 time: 0.4384 data_time: 0.0475 memory: 4652 grad_norm: 2.8669 loss: 4.3886 loss_cls: 2.9254 loss_bbox: 1.4632 +2024/10/29 11:04:04 - mmengine - INFO - Epoch(train) [26][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:54:53 time: 0.4333 data_time: 0.0380 memory: 4652 grad_norm: 2.9388 loss: 4.4635 loss_cls: 2.9344 loss_bbox: 1.5292 +2024/10/29 11:04:26 - mmengine - INFO - Epoch(train) [26][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:54:36 time: 0.4436 data_time: 0.0613 memory: 4652 grad_norm: 2.8534 loss: 4.4449 loss_cls: 2.9669 loss_bbox: 1.4780 +2024/10/29 11:04:49 - mmengine - INFO - Epoch(train) [26][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:54:20 time: 0.4507 data_time: 0.0463 memory: 4652 grad_norm: 2.6492 loss: 4.5128 loss_cls: 3.0310 loss_bbox: 1.4817 +2024/10/29 11:05:10 - mmengine - INFO - Epoch(train) [26][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:53:58 time: 0.4205 data_time: 0.0428 memory: 4652 grad_norm: 2.6348 loss: 4.3885 loss_cls: 2.9232 loss_bbox: 1.4653 +2024/10/29 11:05:33 - mmengine - INFO - Epoch(train) [26][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:53:46 time: 0.4729 data_time: 0.1037 memory: 4652 grad_norm: 2.7110 loss: 4.4004 loss_cls: 2.9747 loss_bbox: 1.4256 +2024/10/29 11:05:55 - mmengine - INFO - Epoch(train) [26][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:53:27 time: 0.4341 data_time: 0.0393 memory: 4652 grad_norm: 2.7314 loss: 4.4505 loss_cls: 2.9533 loss_bbox: 1.4973 +2024/10/29 11:06:16 - mmengine - INFO - Epoch(train) [26][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:53:06 time: 0.4268 data_time: 0.0447 memory: 4652 grad_norm: 2.7193 loss: 4.4632 loss_cls: 2.9679 loss_bbox: 1.4953 +2024/10/29 11:06:38 - mmengine - INFO - Epoch(train) [26][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:52:49 time: 0.4410 data_time: 0.0378 memory: 4652 grad_norm: 2.7156 loss: 4.4541 loss_cls: 2.9629 loss_bbox: 1.4913 +2024/10/29 11:06:59 - mmengine - INFO - Epoch(train) [26][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:52:24 time: 0.4060 data_time: 0.0385 memory: 4652 grad_norm: 3.0064 loss: 4.4228 loss_cls: 2.9328 loss_bbox: 1.4900 +2024/10/29 11:07:20 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 11:07:20 - mmengine - INFO - Epoch(train) [26][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:52:03 time: 0.4266 data_time: 0.0382 memory: 4652 grad_norm: 2.6430 loss: 4.3883 loss_cls: 2.9403 loss_bbox: 1.4480 +2024/10/29 11:07:42 - mmengine - INFO - Epoch(train) [26][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:51:46 time: 0.4450 data_time: 0.0529 memory: 4652 grad_norm: 2.9946 loss: 4.4811 loss_cls: 2.9672 loss_bbox: 1.5139 +2024/10/29 11:08:04 - mmengine - INFO - Epoch(train) [26][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:51:27 time: 0.4360 data_time: 0.0471 memory: 4652 grad_norm: 2.5796 loss: 4.3673 loss_cls: 2.9348 loss_bbox: 1.4325 +2024/10/29 11:08:26 - mmengine - INFO - Epoch(train) [26][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:51:08 time: 0.4350 data_time: 0.0511 memory: 4652 grad_norm: 2.5955 loss: 4.4633 loss_cls: 2.9938 loss_bbox: 1.4695 +2024/10/29 11:08:46 - mmengine - INFO - Epoch(train) [26][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:50:44 time: 0.4090 data_time: 0.0387 memory: 4652 grad_norm: 2.7160 loss: 4.5062 loss_cls: 2.9932 loss_bbox: 1.5130 +2024/10/29 11:09:07 - mmengine - INFO - Epoch(train) [26][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:50:22 time: 0.4216 data_time: 0.0527 memory: 4652 grad_norm: 2.7571 loss: 4.5291 loss_cls: 2.9888 loss_bbox: 1.5403 +2024/10/29 11:09:29 - mmengine - INFO - Epoch(train) [26][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:50:04 time: 0.4383 data_time: 0.0377 memory: 4652 grad_norm: 2.6739 loss: 4.3325 loss_cls: 2.8940 loss_bbox: 1.4385 +2024/10/29 11:09:51 - mmengine - INFO - Epoch(train) [26][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:49:43 time: 0.4277 data_time: 0.0423 memory: 4652 grad_norm: 2.6993 loss: 4.4630 loss_cls: 2.9777 loss_bbox: 1.4853 +2024/10/29 11:10:13 - mmengine - INFO - Epoch(train) [26][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:49:25 time: 0.4401 data_time: 0.0372 memory: 4652 grad_norm: 2.9839 loss: 4.3787 loss_cls: 2.9466 loss_bbox: 1.4322 +2024/10/29 11:10:14 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 11:10:14 - mmengine - INFO - Saving checkpoint at 26 epochs +2024/10/29 11:10:41 - mmengine - INFO - Epoch(train) [27][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:49:03 time: 0.4349 data_time: 0.0596 memory: 4652 grad_norm: 2.5157 loss: 4.4396 loss_cls: 2.9415 loss_bbox: 1.4981 +2024/10/29 11:11:03 - mmengine - INFO - Epoch(train) [27][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:48:43 time: 0.4302 data_time: 0.0391 memory: 4652 grad_norm: 2.8165 loss: 4.4080 loss_cls: 2.9413 loss_bbox: 1.4667 +2024/10/29 11:11:26 - mmengine - INFO - Epoch(train) [27][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:48:29 time: 0.4615 data_time: 0.0892 memory: 4652 grad_norm: 2.7406 loss: 4.3611 loss_cls: 2.9339 loss_bbox: 1.4273 +2024/10/29 11:11:47 - mmengine - INFO - Epoch(train) [27][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:48:08 time: 0.4254 data_time: 0.0413 memory: 4652 grad_norm: 2.6287 loss: 4.4187 loss_cls: 2.9455 loss_bbox: 1.4732 +2024/10/29 11:12:09 - mmengine - INFO - Epoch(train) [27][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:47:51 time: 0.4421 data_time: 0.0491 memory: 4652 grad_norm: 2.8565 loss: 4.3337 loss_cls: 2.8799 loss_bbox: 1.4538 +2024/10/29 11:12:31 - mmengine - INFO - Epoch(train) [27][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:47:32 time: 0.4383 data_time: 0.0627 memory: 4652 grad_norm: 2.9637 loss: 4.3272 loss_cls: 2.9051 loss_bbox: 1.4221 +2024/10/29 11:12:54 - mmengine - INFO - Epoch(train) [27][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:47:15 time: 0.4418 data_time: 0.0505 memory: 4652 grad_norm: 2.7920 loss: 4.5197 loss_cls: 2.9639 loss_bbox: 1.5558 +2024/10/29 11:13:14 - mmengine - INFO - Epoch(train) [27][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:46:51 time: 0.4122 data_time: 0.0395 memory: 4652 grad_norm: 2.9399 loss: 4.3088 loss_cls: 2.8946 loss_bbox: 1.4142 +2024/10/29 11:13:35 - mmengine - INFO - Epoch(train) [27][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:46:30 time: 0.4269 data_time: 0.0392 memory: 4652 grad_norm: 2.6453 loss: 4.4138 loss_cls: 2.9498 loss_bbox: 1.4640 +2024/10/29 11:13:57 - mmengine - INFO - Epoch(train) [27][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:46:09 time: 0.4261 data_time: 0.0458 memory: 4652 grad_norm: 2.9067 loss: 4.3763 loss_cls: 2.9282 loss_bbox: 1.4481 +2024/10/29 11:14:18 - mmengine - INFO - Epoch(train) [27][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:45:49 time: 0.4268 data_time: 0.0390 memory: 4652 grad_norm: 2.5911 loss: 4.3857 loss_cls: 2.9358 loss_bbox: 1.4499 +2024/10/29 11:14:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 11:14:40 - mmengine - INFO - Epoch(train) [27][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:45:29 time: 0.4301 data_time: 0.0474 memory: 4652 grad_norm: 2.7687 loss: 4.4485 loss_cls: 2.9731 loss_bbox: 1.4753 +2024/10/29 11:15:01 - mmengine - INFO - Epoch(train) [27][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:45:06 time: 0.4180 data_time: 0.0439 memory: 4652 grad_norm: 2.9488 loss: 4.4117 loss_cls: 2.9572 loss_bbox: 1.4544 +2024/10/29 11:15:22 - mmengine - INFO - Epoch(train) [27][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:44:48 time: 0.4371 data_time: 0.0400 memory: 4652 grad_norm: 2.7242 loss: 4.4513 loss_cls: 2.9729 loss_bbox: 1.4784 +2024/10/29 11:15:44 - mmengine - INFO - Epoch(train) [27][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:44:27 time: 0.4275 data_time: 0.0423 memory: 4652 grad_norm: 2.7100 loss: 4.4903 loss_cls: 3.0076 loss_bbox: 1.4828 +2024/10/29 11:16:05 - mmengine - INFO - Epoch(train) [27][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:44:06 time: 0.4233 data_time: 0.0403 memory: 4652 grad_norm: 2.7379 loss: 4.4249 loss_cls: 2.9369 loss_bbox: 1.4880 +2024/10/29 11:16:28 - mmengine - INFO - Epoch(train) [27][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:43:51 time: 0.4564 data_time: 0.0681 memory: 4652 grad_norm: 2.9736 loss: 4.3770 loss_cls: 2.9106 loss_bbox: 1.4664 +2024/10/29 11:16:49 - mmengine - INFO - Epoch(train) [27][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:43:28 time: 0.4161 data_time: 0.0436 memory: 4652 grad_norm: 2.7559 loss: 4.4044 loss_cls: 2.9313 loss_bbox: 1.4731 +2024/10/29 11:17:11 - mmengine - INFO - Epoch(train) [27][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:43:10 time: 0.4419 data_time: 0.0520 memory: 4652 grad_norm: 2.6876 loss: 4.3048 loss_cls: 2.8525 loss_bbox: 1.4523 +2024/10/29 11:17:32 - mmengine - INFO - Epoch(train) [27][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:42:48 time: 0.4210 data_time: 0.0392 memory: 4652 grad_norm: 2.8716 loss: 4.4024 loss_cls: 2.9413 loss_bbox: 1.4611 +2024/10/29 11:17:53 - mmengine - INFO - Epoch(train) [27][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:42:28 time: 0.4281 data_time: 0.0396 memory: 4652 grad_norm: 3.0192 loss: 4.3160 loss_cls: 2.8910 loss_bbox: 1.4251 +2024/10/29 11:18:14 - mmengine - INFO - Epoch(train) [27][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:42:06 time: 0.4233 data_time: 0.0391 memory: 4652 grad_norm: 2.7540 loss: 4.4182 loss_cls: 2.9612 loss_bbox: 1.4569 +2024/10/29 11:18:35 - mmengine - INFO - Epoch(train) [27][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:41:43 time: 0.4113 data_time: 0.0387 memory: 4652 grad_norm: 2.6398 loss: 4.4290 loss_cls: 2.9675 loss_bbox: 1.4615 +2024/10/29 11:18:56 - mmengine - INFO - Epoch(train) [27][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:41:22 time: 0.4264 data_time: 0.0386 memory: 4652 grad_norm: 2.7082 loss: 4.3321 loss_cls: 2.8698 loss_bbox: 1.4623 +2024/10/29 11:19:17 - mmengine - INFO - Epoch(train) [27][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:41:00 time: 0.4198 data_time: 0.0454 memory: 4652 grad_norm: 2.7944 loss: 4.3713 loss_cls: 2.9338 loss_bbox: 1.4374 +2024/10/29 11:19:39 - mmengine - INFO - Epoch(train) [27][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:40:41 time: 0.4399 data_time: 0.0460 memory: 4652 grad_norm: 2.8985 loss: 4.3312 loss_cls: 2.8999 loss_bbox: 1.4313 +2024/10/29 11:20:00 - mmengine - INFO - Epoch(train) [27][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:40:18 time: 0.4149 data_time: 0.0392 memory: 4652 grad_norm: 2.6355 loss: 4.3487 loss_cls: 2.9207 loss_bbox: 1.4280 +2024/10/29 11:20:21 - mmengine - INFO - Epoch(train) [27][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:39:56 time: 0.4176 data_time: 0.0399 memory: 4652 grad_norm: 3.0599 loss: 4.4485 loss_cls: 2.9700 loss_bbox: 1.4785 +2024/10/29 11:20:43 - mmengine - INFO - Epoch(train) [27][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:39:38 time: 0.4419 data_time: 0.0490 memory: 4652 grad_norm: 2.8754 loss: 4.3553 loss_cls: 2.9259 loss_bbox: 1.4294 +2024/10/29 11:21:04 - mmengine - INFO - Epoch(train) [27][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:39:15 time: 0.4143 data_time: 0.0383 memory: 4652 grad_norm: 2.6356 loss: 4.3306 loss_cls: 2.9016 loss_bbox: 1.4290 +2024/10/29 11:21:27 - mmengine - INFO - Epoch(train) [27][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:39:03 time: 0.4728 data_time: 0.0901 memory: 4652 grad_norm: 2.9094 loss: 4.4239 loss_cls: 2.9433 loss_bbox: 1.4806 +2024/10/29 11:21:46 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 11:21:48 - mmengine - INFO - Epoch(train) [27][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:38:40 time: 0.4128 data_time: 0.0408 memory: 4652 grad_norm: 2.7424 loss: 4.4446 loss_cls: 2.9905 loss_bbox: 1.4541 +2024/10/29 11:22:09 - mmengine - INFO - Epoch(train) [27][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:38:17 time: 0.4192 data_time: 0.0374 memory: 4652 grad_norm: 2.6057 loss: 4.3664 loss_cls: 2.9415 loss_bbox: 1.4249 +2024/10/29 11:22:31 - mmengine - INFO - Epoch(train) [27][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:37:57 time: 0.4305 data_time: 0.0402 memory: 4652 grad_norm: 2.5478 loss: 4.5260 loss_cls: 2.9746 loss_bbox: 1.5514 +2024/10/29 11:22:52 - mmengine - INFO - Epoch(train) [27][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:37:36 time: 0.4237 data_time: 0.0532 memory: 4652 grad_norm: 2.6501 loss: 4.4270 loss_cls: 2.9403 loss_bbox: 1.4867 +2024/10/29 11:23:13 - mmengine - INFO - Epoch(train) [27][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:37:14 time: 0.4211 data_time: 0.0397 memory: 4652 grad_norm: 2.9989 loss: 4.3536 loss_cls: 2.9033 loss_bbox: 1.4503 +2024/10/29 11:23:34 - mmengine - INFO - Epoch(train) [27][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:36:54 time: 0.4272 data_time: 0.0435 memory: 4652 grad_norm: 2.7728 loss: 4.5147 loss_cls: 3.0023 loss_bbox: 1.5124 +2024/10/29 11:23:55 - mmengine - INFO - Epoch(train) [27][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:36:31 time: 0.4178 data_time: 0.0466 memory: 4652 grad_norm: 2.8511 loss: 4.4636 loss_cls: 2.9699 loss_bbox: 1.4937 +2024/10/29 11:24:16 - mmengine - INFO - Epoch(train) [27][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:36:11 time: 0.4274 data_time: 0.0454 memory: 4652 grad_norm: 2.7888 loss: 4.3985 loss_cls: 2.9557 loss_bbox: 1.4428 +2024/10/29 11:24:38 - mmengine - INFO - Epoch(train) [27][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:35:51 time: 0.4332 data_time: 0.0569 memory: 4652 grad_norm: 2.8058 loss: 4.4051 loss_cls: 2.9142 loss_bbox: 1.4909 +2024/10/29 11:24:59 - mmengine - INFO - Epoch(train) [27][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:35:30 time: 0.4257 data_time: 0.0389 memory: 4652 grad_norm: 2.6319 loss: 4.3551 loss_cls: 2.9491 loss_bbox: 1.4059 +2024/10/29 11:25:21 - mmengine - INFO - Epoch(train) [27][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:35:09 time: 0.4258 data_time: 0.0396 memory: 4652 grad_norm: 2.9449 loss: 4.4612 loss_cls: 2.9908 loss_bbox: 1.4704 +2024/10/29 11:25:42 - mmengine - INFO - Epoch(train) [27][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:34:47 time: 0.4173 data_time: 0.0441 memory: 4652 grad_norm: 2.8509 loss: 4.4670 loss_cls: 2.9943 loss_bbox: 1.4727 +2024/10/29 11:26:03 - mmengine - INFO - Epoch(train) [27][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:34:25 time: 0.4194 data_time: 0.0399 memory: 4652 grad_norm: 2.8120 loss: 4.4018 loss_cls: 2.9302 loss_bbox: 1.4717 +2024/10/29 11:26:25 - mmengine - INFO - Epoch(train) [27][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:34:09 time: 0.4562 data_time: 0.0882 memory: 4652 grad_norm: 2.9762 loss: 4.3002 loss_cls: 2.8878 loss_bbox: 1.4123 +2024/10/29 11:26:46 - mmengine - INFO - Epoch(train) [27][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:33:47 time: 0.4186 data_time: 0.0486 memory: 4652 grad_norm: 2.5665 loss: 4.4343 loss_cls: 2.9369 loss_bbox: 1.4974 +2024/10/29 11:27:08 - mmengine - INFO - Epoch(train) [27][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:33:27 time: 0.4292 data_time: 0.0413 memory: 4652 grad_norm: 2.7372 loss: 4.4099 loss_cls: 2.9602 loss_bbox: 1.4498 +2024/10/29 11:27:28 - mmengine - INFO - Epoch(train) [27][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:33:03 time: 0.4112 data_time: 0.0411 memory: 4652 grad_norm: 2.8595 loss: 4.4596 loss_cls: 2.9983 loss_bbox: 1.4612 +2024/10/29 11:27:50 - mmengine - INFO - Epoch(train) [27][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:32:43 time: 0.4309 data_time: 0.0527 memory: 4652 grad_norm: 2.9684 loss: 4.3910 loss_cls: 2.9380 loss_bbox: 1.4530 +2024/10/29 11:28:11 - mmengine - INFO - Epoch(train) [27][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:32:22 time: 0.4247 data_time: 0.0390 memory: 4652 grad_norm: 2.8001 loss: 4.4072 loss_cls: 2.9201 loss_bbox: 1.4871 +2024/10/29 11:28:33 - mmengine - INFO - Epoch(train) [27][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:32:02 time: 0.4289 data_time: 0.0471 memory: 4652 grad_norm: 2.9123 loss: 4.4927 loss_cls: 2.9961 loss_bbox: 1.4966 +2024/10/29 11:28:52 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 11:28:54 - mmengine - INFO - Epoch(train) [27][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:31:42 time: 0.4323 data_time: 0.0387 memory: 4652 grad_norm: 2.8464 loss: 4.4050 loss_cls: 2.9391 loss_bbox: 1.4659 +2024/10/29 11:29:15 - mmengine - INFO - Epoch(train) [27][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:31:20 time: 0.4189 data_time: 0.0382 memory: 4652 grad_norm: 2.7653 loss: 4.4861 loss_cls: 2.9941 loss_bbox: 1.4920 +2024/10/29 11:29:36 - mmengine - INFO - Epoch(train) [27][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:30:59 time: 0.4264 data_time: 0.0398 memory: 4652 grad_norm: 2.9270 loss: 4.3866 loss_cls: 2.9688 loss_bbox: 1.4178 +2024/10/29 11:29:58 - mmengine - INFO - Epoch(train) [27][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:30:40 time: 0.4361 data_time: 0.0426 memory: 4652 grad_norm: 2.6705 loss: 4.2654 loss_cls: 2.8881 loss_bbox: 1.3773 +2024/10/29 11:30:19 - mmengine - INFO - Epoch(train) [27][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:30:16 time: 0.4110 data_time: 0.0385 memory: 4652 grad_norm: 2.6685 loss: 4.4340 loss_cls: 2.9794 loss_bbox: 1.4546 +2024/10/29 11:30:40 - mmengine - INFO - Epoch(train) [27][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:29:56 time: 0.4313 data_time: 0.0378 memory: 4652 grad_norm: 2.8062 loss: 4.4056 loss_cls: 2.9482 loss_bbox: 1.4573 +2024/10/29 11:31:02 - mmengine - INFO - Epoch(train) [27][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:29:35 time: 0.4227 data_time: 0.0389 memory: 4652 grad_norm: 2.6240 loss: 4.5045 loss_cls: 2.9963 loss_bbox: 1.5082 +2024/10/29 11:31:27 - mmengine - INFO - Epoch(train) [27][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:29:30 time: 0.5152 data_time: 0.1263 memory: 4652 grad_norm: 2.8899 loss: 4.4888 loss_cls: 2.9850 loss_bbox: 1.5038 +2024/10/29 11:31:49 - mmengine - INFO - Epoch(train) [27][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:29:10 time: 0.4295 data_time: 0.0456 memory: 4652 grad_norm: 2.7513 loss: 4.3506 loss_cls: 2.9302 loss_bbox: 1.4204 +2024/10/29 11:32:10 - mmengine - INFO - Epoch(train) [27][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:28:47 time: 0.4151 data_time: 0.0410 memory: 4652 grad_norm: 2.8774 loss: 4.3469 loss_cls: 2.9289 loss_bbox: 1.4180 +2024/10/29 11:32:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 11:32:11 - mmengine - INFO - Saving checkpoint at 27 epochs +2024/10/29 11:32:39 - mmengine - INFO - Epoch(train) [28][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:28:29 time: 0.4461 data_time: 0.0549 memory: 4652 grad_norm: 2.8210 loss: 4.3878 loss_cls: 2.9465 loss_bbox: 1.4413 +2024/10/29 11:32:59 - mmengine - INFO - Epoch(train) [28][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:28:05 time: 0.4087 data_time: 0.0386 memory: 4652 grad_norm: 2.8913 loss: 4.3901 loss_cls: 2.9304 loss_bbox: 1.4598 +2024/10/29 11:33:21 - mmengine - INFO - Epoch(train) [28][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:27:45 time: 0.4322 data_time: 0.0408 memory: 4652 grad_norm: 2.7472 loss: 4.2827 loss_cls: 2.8391 loss_bbox: 1.4436 +2024/10/29 11:33:42 - mmengine - INFO - Epoch(train) [28][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:27:23 time: 0.4213 data_time: 0.0363 memory: 4652 grad_norm: 2.8480 loss: 4.4602 loss_cls: 2.9595 loss_bbox: 1.5007 +2024/10/29 11:34:03 - mmengine - INFO - Epoch(train) [28][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:27:02 time: 0.4236 data_time: 0.0452 memory: 4652 grad_norm: 2.6175 loss: 4.4362 loss_cls: 2.9501 loss_bbox: 1.4861 +2024/10/29 11:34:26 - mmengine - INFO - Epoch(train) [28][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:26:49 time: 0.4678 data_time: 0.0811 memory: 4652 grad_norm: 2.5789 loss: 4.3637 loss_cls: 2.9119 loss_bbox: 1.4518 +2024/10/29 11:34:48 - mmengine - INFO - Epoch(train) [28][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:26:28 time: 0.4277 data_time: 0.0399 memory: 4652 grad_norm: 2.9131 loss: 4.3651 loss_cls: 2.9219 loss_bbox: 1.4432 +2024/10/29 11:35:09 - mmengine - INFO - Epoch(train) [28][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:26:07 time: 0.4261 data_time: 0.0477 memory: 4652 grad_norm: 2.9652 loss: 4.3645 loss_cls: 2.9345 loss_bbox: 1.4301 +2024/10/29 11:35:30 - mmengine - INFO - Epoch(train) [28][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:25:44 time: 0.4108 data_time: 0.0379 memory: 4652 grad_norm: 2.6437 loss: 4.4562 loss_cls: 2.9521 loss_bbox: 1.5041 +2024/10/29 11:35:50 - mmengine - INFO - Epoch(train) [28][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:25:21 time: 0.4163 data_time: 0.0373 memory: 4652 grad_norm: 2.8671 loss: 4.3693 loss_cls: 2.9183 loss_bbox: 1.4510 +2024/10/29 11:36:09 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 11:36:12 - mmengine - INFO - Epoch(train) [28][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:25:00 time: 0.4278 data_time: 0.0473 memory: 4652 grad_norm: 2.9145 loss: 4.2738 loss_cls: 2.8613 loss_bbox: 1.4125 +2024/10/29 11:36:33 - mmengine - INFO - Epoch(train) [28][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:24:39 time: 0.4215 data_time: 0.0530 memory: 4652 grad_norm: 2.7447 loss: 4.4780 loss_cls: 2.9931 loss_bbox: 1.4850 +2024/10/29 11:36:54 - mmengine - INFO - Epoch(train) [28][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:24:18 time: 0.4281 data_time: 0.0450 memory: 4652 grad_norm: 2.8026 loss: 4.3812 loss_cls: 2.9228 loss_bbox: 1.4583 +2024/10/29 11:37:15 - mmengine - INFO - Epoch(train) [28][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:23:56 time: 0.4210 data_time: 0.0415 memory: 4652 grad_norm: 2.7991 loss: 4.3762 loss_cls: 2.9127 loss_bbox: 1.4635 +2024/10/29 11:37:36 - mmengine - INFO - Epoch(train) [28][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:23:34 time: 0.4198 data_time: 0.0451 memory: 4652 grad_norm: 2.8506 loss: 4.3544 loss_cls: 2.9288 loss_bbox: 1.4256 +2024/10/29 11:37:58 - mmengine - INFO - Epoch(train) [28][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:23:14 time: 0.4280 data_time: 0.0444 memory: 4652 grad_norm: 2.6408 loss: 4.3635 loss_cls: 2.9243 loss_bbox: 1.4392 +2024/10/29 11:38:19 - mmengine - INFO - Epoch(train) [28][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:22:52 time: 0.4229 data_time: 0.0495 memory: 4652 grad_norm: 2.8633 loss: 4.4381 loss_cls: 2.9588 loss_bbox: 1.4793 +2024/10/29 11:38:40 - mmengine - INFO - Epoch(train) [28][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:22:29 time: 0.4116 data_time: 0.0426 memory: 4652 grad_norm: 2.7405 loss: 4.4240 loss_cls: 2.9254 loss_bbox: 1.4987 +2024/10/29 11:39:01 - mmengine - INFO - Epoch(train) [28][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:22:08 time: 0.4300 data_time: 0.0452 memory: 4652 grad_norm: 2.9260 loss: 4.3963 loss_cls: 2.9337 loss_bbox: 1.4627 +2024/10/29 11:39:27 - mmengine - INFO - Epoch(train) [28][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:22:04 time: 0.5146 data_time: 0.1305 memory: 4652 grad_norm: 2.7100 loss: 4.3707 loss_cls: 2.9301 loss_bbox: 1.4407 +2024/10/29 11:39:48 - mmengine - INFO - Epoch(train) [28][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:21:44 time: 0.4335 data_time: 0.0464 memory: 4652 grad_norm: 2.8349 loss: 4.3891 loss_cls: 2.9422 loss_bbox: 1.4470 +2024/10/29 11:40:09 - mmengine - INFO - Epoch(train) [28][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:21:21 time: 0.4149 data_time: 0.0440 memory: 4652 grad_norm: 2.6782 loss: 4.4332 loss_cls: 2.9399 loss_bbox: 1.4933 +2024/10/29 11:40:30 - mmengine - INFO - Epoch(train) [28][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:20:59 time: 0.4190 data_time: 0.0383 memory: 4652 grad_norm: 2.8592 loss: 4.3783 loss_cls: 2.9426 loss_bbox: 1.4357 +2024/10/29 11:40:52 - mmengine - INFO - Epoch(train) [28][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:20:39 time: 0.4314 data_time: 0.0381 memory: 4652 grad_norm: 2.7448 loss: 4.3545 loss_cls: 2.9183 loss_bbox: 1.4362 +2024/10/29 11:41:13 - mmengine - INFO - Epoch(train) [28][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:20:18 time: 0.4236 data_time: 0.0430 memory: 4652 grad_norm: 2.6774 loss: 4.4430 loss_cls: 2.9438 loss_bbox: 1.4993 +2024/10/29 11:41:34 - mmengine - INFO - Epoch(train) [28][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:19:57 time: 0.4297 data_time: 0.0375 memory: 4652 grad_norm: 3.0075 loss: 4.3641 loss_cls: 2.9032 loss_bbox: 1.4610 +2024/10/29 11:41:56 - mmengine - INFO - Epoch(train) [28][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:19:37 time: 0.4297 data_time: 0.0394 memory: 4652 grad_norm: 2.7661 loss: 4.4182 loss_cls: 2.9616 loss_bbox: 1.4566 +2024/10/29 11:42:17 - mmengine - INFO - Epoch(train) [28][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:19:15 time: 0.4214 data_time: 0.0415 memory: 4652 grad_norm: 2.8753 loss: 4.4355 loss_cls: 2.9351 loss_bbox: 1.5004 +2024/10/29 11:42:38 - mmengine - INFO - Epoch(train) [28][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:18:54 time: 0.4253 data_time: 0.0433 memory: 4652 grad_norm: 2.7195 loss: 4.4756 loss_cls: 2.9773 loss_bbox: 1.4982 +2024/10/29 11:42:59 - mmengine - INFO - Epoch(train) [28][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:18:33 time: 0.4219 data_time: 0.0384 memory: 4652 grad_norm: 2.8055 loss: 4.4598 loss_cls: 2.9814 loss_bbox: 1.4784 +2024/10/29 11:43:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 11:43:21 - mmengine - INFO - Epoch(train) [28][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:18:13 time: 0.4341 data_time: 0.0435 memory: 4652 grad_norm: 3.0288 loss: 4.3562 loss_cls: 2.9277 loss_bbox: 1.4285 +2024/10/29 11:43:42 - mmengine - INFO - Epoch(train) [28][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:17:50 time: 0.4165 data_time: 0.0394 memory: 4652 grad_norm: 2.8409 loss: 4.3812 loss_cls: 2.9102 loss_bbox: 1.4709 +2024/10/29 11:44:03 - mmengine - INFO - Epoch(train) [28][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:17:28 time: 0.4172 data_time: 0.0379 memory: 4652 grad_norm: 2.8854 loss: 4.3212 loss_cls: 2.9143 loss_bbox: 1.4068 +2024/10/29 11:44:26 - mmengine - INFO - Epoch(train) [28][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:17:15 time: 0.4729 data_time: 0.0926 memory: 4652 grad_norm: 2.6529 loss: 4.3427 loss_cls: 2.8949 loss_bbox: 1.4478 +2024/10/29 11:44:47 - mmengine - INFO - Epoch(train) [28][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:16:53 time: 0.4193 data_time: 0.0423 memory: 4652 grad_norm: 2.9180 loss: 4.4520 loss_cls: 2.9568 loss_bbox: 1.4953 +2024/10/29 11:45:09 - mmengine - INFO - Epoch(train) [28][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:16:34 time: 0.4347 data_time: 0.0425 memory: 4652 grad_norm: 2.8083 loss: 4.4660 loss_cls: 2.9595 loss_bbox: 1.5065 +2024/10/29 11:45:31 - mmengine - INFO - Epoch(train) [28][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:16:14 time: 0.4302 data_time: 0.0501 memory: 4652 grad_norm: 2.7785 loss: 4.3578 loss_cls: 2.9015 loss_bbox: 1.4563 +2024/10/29 11:45:52 - mmengine - INFO - Epoch(train) [28][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:15:52 time: 0.4217 data_time: 0.0415 memory: 4652 grad_norm: 3.0269 loss: 4.4291 loss_cls: 2.9611 loss_bbox: 1.4680 +2024/10/29 11:46:13 - mmengine - INFO - Epoch(train) [28][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:15:31 time: 0.4253 data_time: 0.0387 memory: 4652 grad_norm: 2.7708 loss: 4.4669 loss_cls: 2.9322 loss_bbox: 1.5346 +2024/10/29 11:46:34 - mmengine - INFO - Epoch(train) [28][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:15:10 time: 0.4273 data_time: 0.0449 memory: 4652 grad_norm: 2.7419 loss: 4.4133 loss_cls: 2.9538 loss_bbox: 1.4595 +2024/10/29 11:46:56 - mmengine - INFO - Epoch(train) [28][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:14:52 time: 0.4389 data_time: 0.0443 memory: 4652 grad_norm: 2.7840 loss: 4.3545 loss_cls: 2.9079 loss_bbox: 1.4466 +2024/10/29 11:47:18 - mmengine - INFO - Epoch(train) [28][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:14:31 time: 0.4256 data_time: 0.0426 memory: 4652 grad_norm: 2.7215 loss: 4.3019 loss_cls: 2.8846 loss_bbox: 1.4174 +2024/10/29 11:47:39 - mmengine - INFO - Epoch(train) [28][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:14:08 time: 0.4196 data_time: 0.0429 memory: 4652 grad_norm: 3.0406 loss: 4.4418 loss_cls: 2.9494 loss_bbox: 1.4924 +2024/10/29 11:48:01 - mmengine - INFO - Epoch(train) [28][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:13:51 time: 0.4450 data_time: 0.0472 memory: 4652 grad_norm: 2.7869 loss: 4.4807 loss_cls: 2.9971 loss_bbox: 1.4837 +2024/10/29 11:48:26 - mmengine - INFO - Epoch(train) [28][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:13:42 time: 0.4934 data_time: 0.1104 memory: 4652 grad_norm: 2.9259 loss: 4.4673 loss_cls: 2.9464 loss_bbox: 1.5210 +2024/10/29 11:48:47 - mmengine - INFO - Epoch(train) [28][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:13:21 time: 0.4242 data_time: 0.0463 memory: 4652 grad_norm: 2.8258 loss: 4.4660 loss_cls: 2.9915 loss_bbox: 1.4745 +2024/10/29 11:49:09 - mmengine - INFO - Epoch(train) [28][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:13:03 time: 0.4444 data_time: 0.0510 memory: 4652 grad_norm: 2.7301 loss: 4.4262 loss_cls: 2.9275 loss_bbox: 1.4987 +2024/10/29 11:49:30 - mmengine - INFO - Epoch(train) [28][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:12:40 time: 0.4134 data_time: 0.0400 memory: 4652 grad_norm: 2.4916 loss: 4.4281 loss_cls: 3.0129 loss_bbox: 1.4152 +2024/10/29 11:49:52 - mmengine - INFO - Epoch(train) [28][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:12:24 time: 0.4539 data_time: 0.0530 memory: 4652 grad_norm: 3.0886 loss: 4.4142 loss_cls: 2.9645 loss_bbox: 1.4497 +2024/10/29 11:50:13 - mmengine - INFO - Epoch(train) [28][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:12:02 time: 0.4216 data_time: 0.0454 memory: 4652 grad_norm: 2.6917 loss: 4.3919 loss_cls: 2.9475 loss_bbox: 1.4444 +2024/10/29 11:50:31 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 11:50:35 - mmengine - INFO - Epoch(train) [28][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:11:43 time: 0.4363 data_time: 0.0470 memory: 4652 grad_norm: 2.9066 loss: 4.4372 loss_cls: 2.9829 loss_bbox: 1.4543 +2024/10/29 11:50:57 - mmengine - INFO - Epoch(train) [28][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:11:24 time: 0.4359 data_time: 0.0471 memory: 4652 grad_norm: 2.8965 loss: 4.3598 loss_cls: 2.9021 loss_bbox: 1.4577 +2024/10/29 11:51:18 - mmengine - INFO - Epoch(train) [28][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:11:02 time: 0.4227 data_time: 0.0402 memory: 4652 grad_norm: 2.8307 loss: 4.3208 loss_cls: 2.8893 loss_bbox: 1.4315 +2024/10/29 11:51:41 - mmengine - INFO - Epoch(train) [28][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:10:45 time: 0.4481 data_time: 0.0452 memory: 4652 grad_norm: 2.7992 loss: 4.3835 loss_cls: 2.9250 loss_bbox: 1.4585 +2024/10/29 11:52:02 - mmengine - INFO - Epoch(train) [28][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:10:23 time: 0.4174 data_time: 0.0432 memory: 4652 grad_norm: 2.5361 loss: 4.3733 loss_cls: 2.9332 loss_bbox: 1.4401 +2024/10/29 11:52:27 - mmengine - INFO - Epoch(train) [28][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:10:16 time: 0.5059 data_time: 0.1255 memory: 4652 grad_norm: 2.6075 loss: 4.4752 loss_cls: 2.9847 loss_bbox: 1.4906 +2024/10/29 11:52:47 - mmengine - INFO - Epoch(train) [28][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:09:53 time: 0.4134 data_time: 0.0396 memory: 4652 grad_norm: 2.8768 loss: 4.4436 loss_cls: 3.0090 loss_bbox: 1.4346 +2024/10/29 11:53:08 - mmengine - INFO - Epoch(train) [28][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:09:31 time: 0.4200 data_time: 0.0392 memory: 4652 grad_norm: 2.7967 loss: 4.4365 loss_cls: 2.9632 loss_bbox: 1.4732 +2024/10/29 11:53:30 - mmengine - INFO - Epoch(train) [28][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:09:09 time: 0.4251 data_time: 0.0390 memory: 4652 grad_norm: 2.5143 loss: 4.4060 loss_cls: 2.9288 loss_bbox: 1.4771 +2024/10/29 11:53:50 - mmengine - INFO - Epoch(train) [28][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:08:44 time: 0.4033 data_time: 0.0391 memory: 4652 grad_norm: 2.6326 loss: 4.4344 loss_cls: 2.9853 loss_bbox: 1.4491 +2024/10/29 11:54:12 - mmengine - INFO - Epoch(train) [28][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:08:26 time: 0.4375 data_time: 0.0402 memory: 4652 grad_norm: 2.8677 loss: 4.4063 loss_cls: 2.9491 loss_bbox: 1.4571 +2024/10/29 11:54:13 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 11:54:13 - mmengine - INFO - Saving checkpoint at 28 epochs +2024/10/29 11:54:39 - mmengine - INFO - Epoch(train) [29][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:08:02 time: 0.4278 data_time: 0.0529 memory: 4652 grad_norm: 2.6509 loss: 4.4020 loss_cls: 2.9360 loss_bbox: 1.4659 +2024/10/29 11:55:00 - mmengine - INFO - Epoch(train) [29][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:07:41 time: 0.4246 data_time: 0.0383 memory: 4652 grad_norm: 2.7335 loss: 4.4187 loss_cls: 2.9349 loss_bbox: 1.4838 +2024/10/29 11:55:22 - mmengine - INFO - Epoch(train) [29][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:07:20 time: 0.4279 data_time: 0.0378 memory: 4652 grad_norm: 2.9359 loss: 4.4657 loss_cls: 3.0043 loss_bbox: 1.4614 +2024/10/29 11:55:42 - mmengine - INFO - Epoch(train) [29][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:06:57 time: 0.4099 data_time: 0.0368 memory: 4652 grad_norm: 2.7226 loss: 4.3773 loss_cls: 2.9494 loss_bbox: 1.4278 +2024/10/29 11:56:04 - mmengine - INFO - Epoch(train) [29][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:06:38 time: 0.4376 data_time: 0.0442 memory: 4652 grad_norm: 2.7089 loss: 4.3983 loss_cls: 2.9057 loss_bbox: 1.4926 +2024/10/29 11:56:26 - mmengine - INFO - Epoch(train) [29][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:06:18 time: 0.4351 data_time: 0.0770 memory: 4652 grad_norm: 2.7501 loss: 4.3549 loss_cls: 2.9236 loss_bbox: 1.4313 +2024/10/29 11:56:48 - mmengine - INFO - Epoch(train) [29][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:05:59 time: 0.4333 data_time: 0.0476 memory: 4652 grad_norm: 2.7818 loss: 4.4157 loss_cls: 2.9267 loss_bbox: 1.4890 +2024/10/29 11:57:08 - mmengine - INFO - Epoch(train) [29][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:05:34 time: 0.4071 data_time: 0.0403 memory: 4652 grad_norm: 2.7095 loss: 4.4687 loss_cls: 2.9805 loss_bbox: 1.4882 +2024/10/29 11:57:28 - mmengine - INFO - Epoch(train) [29][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:05:11 time: 0.4104 data_time: 0.0424 memory: 4652 grad_norm: 2.8830 loss: 4.5079 loss_cls: 3.0137 loss_bbox: 1.4942 +2024/10/29 11:57:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 11:57:50 - mmengine - INFO - Epoch(train) [29][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:04:51 time: 0.4333 data_time: 0.0394 memory: 4652 grad_norm: 2.7385 loss: 4.4036 loss_cls: 2.9366 loss_bbox: 1.4670 +2024/10/29 11:58:10 - mmengine - INFO - Epoch(train) [29][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:04:25 time: 0.4005 data_time: 0.0397 memory: 4652 grad_norm: 2.6881 loss: 4.4050 loss_cls: 2.9671 loss_bbox: 1.4379 +2024/10/29 11:58:31 - mmengine - INFO - Epoch(train) [29][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:04:05 time: 0.4276 data_time: 0.0457 memory: 4652 grad_norm: 2.9281 loss: 4.4736 loss_cls: 2.9731 loss_bbox: 1.5005 +2024/10/29 11:58:53 - mmengine - INFO - Epoch(train) [29][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:03:43 time: 0.4227 data_time: 0.0432 memory: 4652 grad_norm: 2.7868 loss: 4.3351 loss_cls: 2.9394 loss_bbox: 1.3957 +2024/10/29 11:59:14 - mmengine - INFO - Epoch(train) [29][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:03:21 time: 0.4172 data_time: 0.0462 memory: 4652 grad_norm: 3.0989 loss: 4.4598 loss_cls: 2.9597 loss_bbox: 1.5001 +2024/10/29 11:59:35 - mmengine - INFO - Epoch(train) [29][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:03:00 time: 0.4298 data_time: 0.0404 memory: 4652 grad_norm: 2.9712 loss: 4.4595 loss_cls: 2.9696 loss_bbox: 1.4899 +2024/10/29 11:59:55 - mmengine - INFO - Epoch(train) [29][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:02:36 time: 0.4062 data_time: 0.0390 memory: 4652 grad_norm: 2.5811 loss: 4.2905 loss_cls: 2.8836 loss_bbox: 1.4069 +2024/10/29 12:00:17 - mmengine - INFO - Epoch(train) [29][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:02:16 time: 0.4329 data_time: 0.0379 memory: 4652 grad_norm: 2.8549 loss: 4.3777 loss_cls: 2.9218 loss_bbox: 1.4558 +2024/10/29 12:00:38 - mmengine - INFO - Epoch(train) [29][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:01:53 time: 0.4168 data_time: 0.0444 memory: 4652 grad_norm: 2.6430 loss: 4.4383 loss_cls: 2.9511 loss_bbox: 1.4872 +2024/10/29 12:00:59 - mmengine - INFO - Epoch(train) [29][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:01:33 time: 0.4268 data_time: 0.0418 memory: 4652 grad_norm: 2.6316 loss: 4.3209 loss_cls: 2.9181 loss_bbox: 1.4028 +2024/10/29 12:01:21 - mmengine - INFO - Epoch(train) [29][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:01:13 time: 0.4320 data_time: 0.0380 memory: 4652 grad_norm: 2.8487 loss: 4.3214 loss_cls: 2.8676 loss_bbox: 1.4538 +2024/10/29 12:01:41 - mmengine - INFO - Epoch(train) [29][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:00:48 time: 0.4077 data_time: 0.0389 memory: 4652 grad_norm: 3.0667 loss: 4.5127 loss_cls: 3.0054 loss_bbox: 1.5073 +2024/10/29 12:02:03 - mmengine - INFO - Epoch(train) [29][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:00:31 time: 0.4442 data_time: 0.0466 memory: 4652 grad_norm: 2.6961 loss: 4.3092 loss_cls: 2.8873 loss_bbox: 1.4219 +2024/10/29 12:02:28 - mmengine - INFO - Epoch(train) [29][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:00:20 time: 0.4872 data_time: 0.1167 memory: 4652 grad_norm: 2.9479 loss: 4.4241 loss_cls: 2.9511 loss_bbox: 1.4729 +2024/10/29 12:02:50 - mmengine - INFO - Epoch(train) [29][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 9:00:01 time: 0.4356 data_time: 0.0410 memory: 4652 grad_norm: 2.8325 loss: 4.4537 loss_cls: 2.9755 loss_bbox: 1.4782 +2024/10/29 12:03:11 - mmengine - INFO - Epoch(train) [29][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:59:42 time: 0.4390 data_time: 0.0421 memory: 4652 grad_norm: 2.5702 loss: 4.2913 loss_cls: 2.8477 loss_bbox: 1.4436 +2024/10/29 12:03:32 - mmengine - INFO - Epoch(train) [29][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:59:19 time: 0.4117 data_time: 0.0377 memory: 4652 grad_norm: 2.6143 loss: 4.5054 loss_cls: 2.9753 loss_bbox: 1.5301 +2024/10/29 12:03:54 - mmengine - INFO - Epoch(train) [29][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:58:59 time: 0.4338 data_time: 0.0379 memory: 4652 grad_norm: 2.7987 loss: 4.4895 loss_cls: 2.9832 loss_bbox: 1.5063 +2024/10/29 12:04:14 - mmengine - INFO - Epoch(train) [29][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:58:35 time: 0.4073 data_time: 0.0372 memory: 4652 grad_norm: 2.7749 loss: 4.4222 loss_cls: 2.9576 loss_bbox: 1.4647 +2024/10/29 12:04:35 - mmengine - INFO - Epoch(train) [29][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:58:14 time: 0.4243 data_time: 0.0370 memory: 4652 grad_norm: 2.8560 loss: 4.4235 loss_cls: 2.9474 loss_bbox: 1.4760 +2024/10/29 12:04:51 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 12:04:56 - mmengine - INFO - Epoch(train) [29][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:57:50 time: 0.4081 data_time: 0.0379 memory: 4652 grad_norm: 2.5698 loss: 4.3990 loss_cls: 2.9405 loss_bbox: 1.4585 +2024/10/29 12:05:17 - mmengine - INFO - Epoch(train) [29][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:57:30 time: 0.4335 data_time: 0.0490 memory: 4652 grad_norm: 2.9970 loss: 4.3674 loss_cls: 2.9159 loss_bbox: 1.4515 +2024/10/29 12:05:39 - mmengine - INFO - Epoch(train) [29][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:57:10 time: 0.4312 data_time: 0.0370 memory: 4652 grad_norm: 2.7754 loss: 4.2850 loss_cls: 2.8557 loss_bbox: 1.4293 +2024/10/29 12:06:00 - mmengine - INFO - Epoch(train) [29][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:56:47 time: 0.4142 data_time: 0.0369 memory: 4652 grad_norm: 2.7326 loss: 4.4152 loss_cls: 2.9593 loss_bbox: 1.4558 +2024/10/29 12:06:21 - mmengine - INFO - Epoch(train) [29][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:56:27 time: 0.4315 data_time: 0.0468 memory: 4652 grad_norm: 2.6501 loss: 4.4441 loss_cls: 2.9491 loss_bbox: 1.4950 +2024/10/29 12:06:42 - mmengine - INFO - Epoch(train) [29][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:56:05 time: 0.4216 data_time: 0.0394 memory: 4652 grad_norm: 3.0312 loss: 4.3547 loss_cls: 2.9237 loss_bbox: 1.4310 +2024/10/29 12:07:03 - mmengine - INFO - Epoch(train) [29][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:55:41 time: 0.4073 data_time: 0.0385 memory: 4652 grad_norm: 2.8504 loss: 4.3727 loss_cls: 2.8934 loss_bbox: 1.4793 +2024/10/29 12:07:27 - mmengine - INFO - Epoch(train) [29][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:55:30 time: 0.4891 data_time: 0.1008 memory: 4652 grad_norm: 2.5467 loss: 4.4425 loss_cls: 2.9623 loss_bbox: 1.4802 +2024/10/29 12:07:48 - mmengine - INFO - Epoch(train) [29][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:55:09 time: 0.4230 data_time: 0.0390 memory: 4652 grad_norm: 2.7167 loss: 4.3810 loss_cls: 2.9266 loss_bbox: 1.4544 +2024/10/29 12:08:10 - mmengine - INFO - Epoch(train) [29][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:54:49 time: 0.4329 data_time: 0.0387 memory: 4652 grad_norm: 2.7480 loss: 4.3747 loss_cls: 2.9233 loss_bbox: 1.4514 +2024/10/29 12:08:31 - mmengine - INFO - Epoch(train) [29][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:54:26 time: 0.4115 data_time: 0.0411 memory: 4652 grad_norm: 2.8016 loss: 4.3154 loss_cls: 2.8880 loss_bbox: 1.4274 +2024/10/29 12:08:51 - mmengine - INFO - Epoch(train) [29][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:54:01 time: 0.4058 data_time: 0.0383 memory: 4652 grad_norm: 2.7831 loss: 4.3959 loss_cls: 2.9321 loss_bbox: 1.4638 +2024/10/29 12:09:12 - mmengine - INFO - Epoch(train) [29][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:53:39 time: 0.4187 data_time: 0.0454 memory: 4652 grad_norm: 2.8725 loss: 4.3407 loss_cls: 2.9270 loss_bbox: 1.4136 +2024/10/29 12:09:33 - mmengine - INFO - Epoch(train) [29][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:53:19 time: 0.4298 data_time: 0.0459 memory: 4652 grad_norm: 2.6470 loss: 4.3482 loss_cls: 2.9019 loss_bbox: 1.4464 +2024/10/29 12:09:55 - mmengine - INFO - Epoch(train) [29][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:52:58 time: 0.4277 data_time: 0.0494 memory: 4652 grad_norm: 2.7020 loss: 4.4858 loss_cls: 2.9967 loss_bbox: 1.4891 +2024/10/29 12:10:15 - mmengine - INFO - Epoch(train) [29][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:52:34 time: 0.4092 data_time: 0.0391 memory: 4652 grad_norm: 2.6701 loss: 4.3973 loss_cls: 2.9311 loss_bbox: 1.4662 +2024/10/29 12:10:36 - mmengine - INFO - Epoch(train) [29][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:52:11 time: 0.4139 data_time: 0.0401 memory: 4652 grad_norm: 2.7280 loss: 4.4551 loss_cls: 2.9887 loss_bbox: 1.4664 +2024/10/29 12:10:57 - mmengine - INFO - Epoch(train) [29][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:51:48 time: 0.4152 data_time: 0.0415 memory: 4652 grad_norm: 2.8930 loss: 4.4088 loss_cls: 2.9374 loss_bbox: 1.4714 +2024/10/29 12:11:17 - mmengine - INFO - Epoch(train) [29][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:51:25 time: 0.4123 data_time: 0.0395 memory: 4652 grad_norm: 2.9193 loss: 4.3754 loss_cls: 2.9038 loss_bbox: 1.4717 +2024/10/29 12:11:40 - mmengine - INFO - Epoch(train) [29][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:51:07 time: 0.4448 data_time: 0.0532 memory: 4652 grad_norm: 2.7570 loss: 4.4245 loss_cls: 2.9113 loss_bbox: 1.5133 +2024/10/29 12:11:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 12:12:00 - mmengine - INFO - Epoch(train) [29][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:50:44 time: 0.4163 data_time: 0.0394 memory: 4652 grad_norm: 2.9055 loss: 4.4180 loss_cls: 2.9177 loss_bbox: 1.5003 +2024/10/29 12:12:22 - mmengine - INFO - Epoch(train) [29][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:50:23 time: 0.4257 data_time: 0.0385 memory: 4652 grad_norm: 2.8148 loss: 4.4502 loss_cls: 2.9201 loss_bbox: 1.5301 +2024/10/29 12:12:43 - mmengine - INFO - Epoch(train) [29][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:50:01 time: 0.4193 data_time: 0.0369 memory: 4652 grad_norm: 2.8933 loss: 4.4177 loss_cls: 2.9519 loss_bbox: 1.4658 +2024/10/29 12:13:03 - mmengine - INFO - Epoch(train) [29][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:49:38 time: 0.4105 data_time: 0.0373 memory: 4652 grad_norm: 2.7150 loss: 4.3513 loss_cls: 2.9122 loss_bbox: 1.4390 +2024/10/29 12:13:28 - mmengine - INFO - Epoch(train) [29][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:49:30 time: 0.5047 data_time: 0.1226 memory: 4652 grad_norm: 2.8465 loss: 4.3953 loss_cls: 2.9613 loss_bbox: 1.4340 +2024/10/29 12:13:50 - mmengine - INFO - Epoch(train) [29][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:49:08 time: 0.4212 data_time: 0.0423 memory: 4652 grad_norm: 2.6707 loss: 4.4519 loss_cls: 2.9629 loss_bbox: 1.4890 +2024/10/29 12:14:11 - mmengine - INFO - Epoch(train) [29][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:48:47 time: 0.4255 data_time: 0.0464 memory: 4652 grad_norm: 2.6991 loss: 4.3997 loss_cls: 2.9043 loss_bbox: 1.4955 +2024/10/29 12:14:31 - mmengine - INFO - Epoch(train) [29][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:48:23 time: 0.4111 data_time: 0.0394 memory: 4652 grad_norm: 2.9371 loss: 4.4506 loss_cls: 2.9445 loss_bbox: 1.5061 +2024/10/29 12:14:52 - mmengine - INFO - Epoch(train) [29][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:48:00 time: 0.4092 data_time: 0.0383 memory: 4652 grad_norm: 2.8315 loss: 4.4907 loss_cls: 2.9984 loss_bbox: 1.4923 +2024/10/29 12:15:13 - mmengine - INFO - Epoch(train) [29][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:47:37 time: 0.4192 data_time: 0.0385 memory: 4652 grad_norm: 2.7131 loss: 4.4649 loss_cls: 2.9781 loss_bbox: 1.4868 +2024/10/29 12:15:33 - mmengine - INFO - Epoch(train) [29][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:47:14 time: 0.4090 data_time: 0.0389 memory: 4652 grad_norm: 2.8530 loss: 4.3533 loss_cls: 2.8993 loss_bbox: 1.4540 +2024/10/29 12:15:54 - mmengine - INFO - Epoch(train) [29][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:46:52 time: 0.4203 data_time: 0.0394 memory: 4652 grad_norm: 2.8456 loss: 4.3499 loss_cls: 2.9171 loss_bbox: 1.4328 +2024/10/29 12:15:56 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 12:15:56 - mmengine - INFO - Saving checkpoint at 29 epochs +2024/10/29 12:16:23 - mmengine - INFO - Epoch(train) [30][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:46:32 time: 0.4435 data_time: 0.0514 memory: 4652 grad_norm: 2.7079 loss: 4.3205 loss_cls: 2.8835 loss_bbox: 1.4370 +2024/10/29 12:16:45 - mmengine - INFO - Epoch(train) [30][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:46:13 time: 0.4411 data_time: 0.0484 memory: 4652 grad_norm: 2.9472 loss: 4.4089 loss_cls: 2.9434 loss_bbox: 1.4655 +2024/10/29 12:17:06 - mmengine - INFO - Epoch(train) [30][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:45:53 time: 0.4276 data_time: 0.0399 memory: 4652 grad_norm: 2.8096 loss: 4.4476 loss_cls: 2.9633 loss_bbox: 1.4842 +2024/10/29 12:17:28 - mmengine - INFO - Epoch(train) [30][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:45:34 time: 0.4394 data_time: 0.0404 memory: 4652 grad_norm: 2.9208 loss: 4.3692 loss_cls: 2.9064 loss_bbox: 1.4629 +2024/10/29 12:17:49 - mmengine - INFO - Epoch(train) [30][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:45:13 time: 0.4238 data_time: 0.0359 memory: 4652 grad_norm: 2.6374 loss: 4.4874 loss_cls: 2.9986 loss_bbox: 1.4888 +2024/10/29 12:18:11 - mmengine - INFO - Epoch(train) [30][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:44:54 time: 0.4379 data_time: 0.0381 memory: 4652 grad_norm: 2.7616 loss: 4.3908 loss_cls: 2.9475 loss_bbox: 1.4433 +2024/10/29 12:18:33 - mmengine - INFO - Epoch(train) [30][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:44:35 time: 0.4385 data_time: 0.0386 memory: 4652 grad_norm: 3.0125 loss: 4.3532 loss_cls: 2.9271 loss_bbox: 1.4261 +2024/10/29 12:18:55 - mmengine - INFO - Epoch(train) [30][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:44:16 time: 0.4416 data_time: 0.0396 memory: 4652 grad_norm: 2.7322 loss: 4.3658 loss_cls: 2.9105 loss_bbox: 1.4553 +2024/10/29 12:19:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 12:19:17 - mmengine - INFO - Epoch(train) [30][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:43:58 time: 0.4418 data_time: 0.0388 memory: 4652 grad_norm: 2.5696 loss: 4.3354 loss_cls: 2.8850 loss_bbox: 1.4503 +2024/10/29 12:19:39 - mmengine - INFO - Epoch(train) [30][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:43:38 time: 0.4331 data_time: 0.0359 memory: 4652 grad_norm: 2.8658 loss: 4.3636 loss_cls: 2.9470 loss_bbox: 1.4166 +2024/10/29 12:20:01 - mmengine - INFO - Epoch(train) [30][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:43:18 time: 0.4330 data_time: 0.0361 memory: 4652 grad_norm: 2.9191 loss: 4.4360 loss_cls: 2.9722 loss_bbox: 1.4638 +2024/10/29 12:20:22 - mmengine - INFO - Epoch(train) [30][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:42:58 time: 0.4311 data_time: 0.0356 memory: 4652 grad_norm: 2.6824 loss: 4.4433 loss_cls: 2.9317 loss_bbox: 1.5116 +2024/10/29 12:20:44 - mmengine - INFO - Epoch(train) [30][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:42:39 time: 0.4377 data_time: 0.0360 memory: 4652 grad_norm: 2.8565 loss: 4.4355 loss_cls: 2.9297 loss_bbox: 1.5058 +2024/10/29 12:21:06 - mmengine - INFO - Epoch(train) [30][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:42:21 time: 0.4426 data_time: 0.0371 memory: 4652 grad_norm: 2.8327 loss: 4.4342 loss_cls: 2.9403 loss_bbox: 1.4939 +2024/10/29 12:21:28 - mmengine - INFO - Epoch(train) [30][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:42:01 time: 0.4359 data_time: 0.0408 memory: 4652 grad_norm: 2.8286 loss: 4.4312 loss_cls: 2.9624 loss_bbox: 1.4687 +2024/10/29 12:21:50 - mmengine - INFO - Epoch(train) [30][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:41:42 time: 0.4368 data_time: 0.0368 memory: 4652 grad_norm: 2.8483 loss: 4.3739 loss_cls: 2.9481 loss_bbox: 1.4258 +2024/10/29 12:22:11 - mmengine - INFO - Epoch(train) [30][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:41:22 time: 0.4288 data_time: 0.0413 memory: 4652 grad_norm: 2.8603 loss: 4.4178 loss_cls: 2.9350 loss_bbox: 1.4827 +2024/10/29 12:22:33 - mmengine - INFO - Epoch(train) [30][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:41:01 time: 0.4313 data_time: 0.0351 memory: 4652 grad_norm: 2.8176 loss: 4.4017 loss_cls: 2.9210 loss_bbox: 1.4808 +2024/10/29 12:22:55 - mmengine - INFO - Epoch(train) [30][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:40:42 time: 0.4370 data_time: 0.0352 memory: 4652 grad_norm: 2.7925 loss: 4.4115 loss_cls: 2.9503 loss_bbox: 1.4611 +2024/10/29 12:23:16 - mmengine - INFO - Epoch(train) [30][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:40:20 time: 0.4194 data_time: 0.0404 memory: 4652 grad_norm: 2.7065 loss: 4.4410 loss_cls: 2.9677 loss_bbox: 1.4732 +2024/10/29 12:23:37 - mmengine - INFO - Epoch(train) [30][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:39:59 time: 0.4274 data_time: 0.0384 memory: 4652 grad_norm: 2.5829 loss: 4.3951 loss_cls: 2.9087 loss_bbox: 1.4864 +2024/10/29 12:23:58 - mmengine - INFO - Epoch(train) [30][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:39:36 time: 0.4112 data_time: 0.0373 memory: 4652 grad_norm: 2.9475 loss: 4.4308 loss_cls: 2.9396 loss_bbox: 1.4912 +2024/10/29 12:24:19 - mmengine - INFO - Epoch(train) [30][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:39:13 time: 0.4185 data_time: 0.0379 memory: 4652 grad_norm: 2.7824 loss: 4.3849 loss_cls: 2.9461 loss_bbox: 1.4388 +2024/10/29 12:24:39 - mmengine - INFO - Epoch(train) [30][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:38:51 time: 0.4168 data_time: 0.0383 memory: 4652 grad_norm: 2.7111 loss: 4.4281 loss_cls: 2.9891 loss_bbox: 1.4390 +2024/10/29 12:25:01 - mmengine - INFO - Epoch(train) [30][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:38:29 time: 0.4223 data_time: 0.0437 memory: 4652 grad_norm: 2.7432 loss: 4.4491 loss_cls: 2.9953 loss_bbox: 1.4538 +2024/10/29 12:25:22 - mmengine - INFO - Epoch(train) [30][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:38:10 time: 0.4365 data_time: 0.0384 memory: 4652 grad_norm: 2.7035 loss: 4.4098 loss_cls: 2.9823 loss_bbox: 1.4275 +2024/10/29 12:25:43 - mmengine - INFO - Epoch(train) [30][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:37:48 time: 0.4215 data_time: 0.0487 memory: 4652 grad_norm: 2.9885 loss: 4.3798 loss_cls: 2.9546 loss_bbox: 1.4253 +2024/10/29 12:26:05 - mmengine - INFO - Epoch(train) [30][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:37:27 time: 0.4257 data_time: 0.0402 memory: 4652 grad_norm: 2.6874 loss: 4.3146 loss_cls: 2.8768 loss_bbox: 1.4378 +2024/10/29 12:26:20 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 12:26:26 - mmengine - INFO - Epoch(train) [30][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:37:07 time: 0.4287 data_time: 0.0537 memory: 4652 grad_norm: 2.9199 loss: 4.4833 loss_cls: 2.9588 loss_bbox: 1.5244 +2024/10/29 12:26:47 - mmengine - INFO - Epoch(train) [30][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:36:44 time: 0.4154 data_time: 0.0396 memory: 4652 grad_norm: 2.7406 loss: 4.4013 loss_cls: 2.9393 loss_bbox: 1.4620 +2024/10/29 12:27:09 - mmengine - INFO - Epoch(train) [30][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:36:24 time: 0.4339 data_time: 0.0431 memory: 4652 grad_norm: 2.7738 loss: 4.3379 loss_cls: 2.8832 loss_bbox: 1.4547 +2024/10/29 12:27:30 - mmengine - INFO - Epoch(train) [30][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:36:02 time: 0.4170 data_time: 0.0451 memory: 4652 grad_norm: 2.7431 loss: 4.3629 loss_cls: 2.9101 loss_bbox: 1.4528 +2024/10/29 12:27:51 - mmengine - INFO - Epoch(train) [30][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:35:42 time: 0.4348 data_time: 0.0384 memory: 4652 grad_norm: 2.7378 loss: 4.4368 loss_cls: 2.9471 loss_bbox: 1.4897 +2024/10/29 12:28:12 - mmengine - INFO - Epoch(train) [30][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:35:20 time: 0.4197 data_time: 0.0393 memory: 4652 grad_norm: 2.7875 loss: 4.3607 loss_cls: 2.9129 loss_bbox: 1.4478 +2024/10/29 12:28:33 - mmengine - INFO - Epoch(train) [30][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:34:57 time: 0.4122 data_time: 0.0380 memory: 4652 grad_norm: 2.9906 loss: 4.3216 loss_cls: 2.9007 loss_bbox: 1.4209 +2024/10/29 12:28:55 - mmengine - INFO - Epoch(train) [30][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:34:37 time: 0.4358 data_time: 0.0392 memory: 4652 grad_norm: 2.5812 loss: 4.3992 loss_cls: 2.9535 loss_bbox: 1.4457 +2024/10/29 12:29:15 - mmengine - INFO - Epoch(train) [30][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:34:14 time: 0.4112 data_time: 0.0412 memory: 4652 grad_norm: 3.0002 loss: 4.3853 loss_cls: 2.9614 loss_bbox: 1.4239 +2024/10/29 12:29:37 - mmengine - INFO - Epoch(train) [30][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:33:55 time: 0.4385 data_time: 0.0398 memory: 4652 grad_norm: 2.8907 loss: 4.3862 loss_cls: 2.9006 loss_bbox: 1.4856 +2024/10/29 12:29:58 - mmengine - INFO - Epoch(train) [30][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:33:32 time: 0.4135 data_time: 0.0367 memory: 4652 grad_norm: 2.8936 loss: 4.4742 loss_cls: 2.9511 loss_bbox: 1.5232 +2024/10/29 12:30:20 - mmengine - INFO - Epoch(train) [30][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:33:12 time: 0.4323 data_time: 0.0457 memory: 4652 grad_norm: 2.8650 loss: 4.3909 loss_cls: 2.9502 loss_bbox: 1.4407 +2024/10/29 12:30:40 - mmengine - INFO - Epoch(train) [30][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:32:50 time: 0.4195 data_time: 0.0423 memory: 4652 grad_norm: 2.7392 loss: 4.2686 loss_cls: 2.8860 loss_bbox: 1.3827 +2024/10/29 12:31:01 - mmengine - INFO - Epoch(train) [30][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:32:27 time: 0.4143 data_time: 0.0377 memory: 4652 grad_norm: 2.7514 loss: 4.4025 loss_cls: 2.9504 loss_bbox: 1.4521 +2024/10/29 12:31:27 - mmengine - INFO - Epoch(train) [30][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:32:19 time: 0.5109 data_time: 0.1094 memory: 4652 grad_norm: 2.9567 loss: 4.4507 loss_cls: 2.9739 loss_bbox: 1.4768 +2024/10/29 12:31:48 - mmengine - INFO - Epoch(train) [30][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:31:59 time: 0.4284 data_time: 0.0463 memory: 4652 grad_norm: 2.6557 loss: 4.3717 loss_cls: 2.9208 loss_bbox: 1.4508 +2024/10/29 12:32:10 - mmengine - INFO - Epoch(train) [30][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:31:40 time: 0.4376 data_time: 0.0381 memory: 4652 grad_norm: 2.7062 loss: 4.5111 loss_cls: 3.0049 loss_bbox: 1.5062 +2024/10/29 12:32:31 - mmengine - INFO - Epoch(train) [30][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:31:18 time: 0.4242 data_time: 0.0468 memory: 4652 grad_norm: 2.8425 loss: 4.4692 loss_cls: 2.9518 loss_bbox: 1.5173 +2024/10/29 12:32:52 - mmengine - INFO - Epoch(train) [30][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:30:55 time: 0.4133 data_time: 0.0379 memory: 4652 grad_norm: 2.6790 loss: 4.3480 loss_cls: 2.9208 loss_bbox: 1.4272 +2024/10/29 12:33:13 - mmengine - INFO - Epoch(train) [30][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:30:34 time: 0.4264 data_time: 0.0372 memory: 4652 grad_norm: 2.8226 loss: 4.3041 loss_cls: 2.9110 loss_bbox: 1.3931 +2024/10/29 12:33:27 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 12:33:34 - mmengine - INFO - Epoch(train) [30][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:30:12 time: 0.4178 data_time: 0.0436 memory: 4652 grad_norm: 2.7073 loss: 4.4545 loss_cls: 2.9615 loss_bbox: 1.4930 +2024/10/29 12:33:56 - mmengine - INFO - Epoch(train) [30][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:29:53 time: 0.4407 data_time: 0.0380 memory: 4652 grad_norm: 2.9635 loss: 4.4269 loss_cls: 2.9418 loss_bbox: 1.4851 +2024/10/29 12:34:17 - mmengine - INFO - Epoch(train) [30][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:29:30 time: 0.4148 data_time: 0.0403 memory: 4652 grad_norm: 3.0907 loss: 4.3252 loss_cls: 2.8774 loss_bbox: 1.4478 +2024/10/29 12:34:39 - mmengine - INFO - Epoch(train) [30][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:29:13 time: 0.4461 data_time: 0.0386 memory: 4652 grad_norm: 3.0068 loss: 4.3733 loss_cls: 2.9291 loss_bbox: 1.4442 +2024/10/29 12:35:00 - mmengine - INFO - Epoch(train) [30][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:28:51 time: 0.4234 data_time: 0.0381 memory: 4652 grad_norm: 2.8042 loss: 4.3436 loss_cls: 2.9087 loss_bbox: 1.4349 +2024/10/29 12:35:22 - mmengine - INFO - Epoch(train) [30][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:28:30 time: 0.4233 data_time: 0.0377 memory: 4652 grad_norm: 2.7668 loss: 4.4152 loss_cls: 2.9189 loss_bbox: 1.4962 +2024/10/29 12:35:44 - mmengine - INFO - Epoch(train) [30][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:28:10 time: 0.4371 data_time: 0.0432 memory: 4652 grad_norm: 2.7495 loss: 4.3896 loss_cls: 2.9133 loss_bbox: 1.4763 +2024/10/29 12:36:04 - mmengine - INFO - Epoch(train) [30][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:27:48 time: 0.4165 data_time: 0.0370 memory: 4652 grad_norm: 2.6458 loss: 4.4317 loss_cls: 2.9501 loss_bbox: 1.4816 +2024/10/29 12:36:27 - mmengine - INFO - Epoch(train) [30][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:27:33 time: 0.4626 data_time: 0.0654 memory: 4652 grad_norm: 2.8119 loss: 4.3802 loss_cls: 2.9141 loss_bbox: 1.4660 +2024/10/29 12:36:49 - mmengine - INFO - Epoch(train) [30][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:27:13 time: 0.4335 data_time: 0.0476 memory: 4652 grad_norm: 2.7342 loss: 4.3831 loss_cls: 2.9352 loss_bbox: 1.4480 +2024/10/29 12:37:10 - mmengine - INFO - Epoch(train) [30][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:26:50 time: 0.4161 data_time: 0.0379 memory: 4652 grad_norm: 2.6637 loss: 4.4448 loss_cls: 2.9430 loss_bbox: 1.5017 +2024/10/29 12:37:32 - mmengine - INFO - Epoch(train) [30][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:26:32 time: 0.4413 data_time: 0.0417 memory: 4652 grad_norm: 2.6819 loss: 4.4041 loss_cls: 2.9576 loss_bbox: 1.4465 +2024/10/29 12:37:53 - mmengine - INFO - Epoch(train) [30][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:26:10 time: 0.4201 data_time: 0.0447 memory: 4652 grad_norm: 2.8062 loss: 4.4264 loss_cls: 2.9431 loss_bbox: 1.4834 +2024/10/29 12:37:54 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 12:37:54 - mmengine - INFO - Saving checkpoint at 30 epochs +2024/10/29 12:38:02 - mmengine - INFO - Epoch(val) [30][50/79] eta: 0:00:02 time: 0.0764 data_time: 0.0091 memory: 4652 +2024/10/29 12:38:22 - mmengine - INFO - Evaluating bbox... +2024/10/29 12:39:48 - mmengine - INFO - bbox_mAP_copypaste: 0.202 0.357 0.202 0.050 0.232 0.327 +2024/10/29 12:39:50 - mmengine - INFO - Epoch(val) [30][79/79] coco/bbox_mAP: 0.2020 coco/bbox_mAP_50: 0.3570 coco/bbox_mAP_75: 0.2020 coco/bbox_mAP_s: 0.0500 coco/bbox_mAP_m: 0.2320 coco/bbox_mAP_l: 0.3270 data_time: 0.0084 time: 0.0746 +2024/10/29 12:40:13 - mmengine - INFO - Epoch(train) [31][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:25:52 time: 0.4637 data_time: 0.0620 memory: 4652 grad_norm: 2.8674 loss: 4.3518 loss_cls: 2.9022 loss_bbox: 1.4497 +2024/10/29 12:40:34 - mmengine - INFO - Epoch(train) [31][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:25:31 time: 0.4259 data_time: 0.0434 memory: 4652 grad_norm: 2.8164 loss: 4.3606 loss_cls: 2.9125 loss_bbox: 1.4481 +2024/10/29 12:40:55 - mmengine - INFO - Epoch(train) [31][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:25:08 time: 0.4154 data_time: 0.0395 memory: 4652 grad_norm: 2.5676 loss: 4.3632 loss_cls: 2.9010 loss_bbox: 1.4622 +2024/10/29 12:41:17 - mmengine - INFO - Epoch(train) [31][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:24:49 time: 0.4378 data_time: 0.0386 memory: 4652 grad_norm: 2.5869 loss: 4.3165 loss_cls: 2.8917 loss_bbox: 1.4249 +2024/10/29 12:41:38 - mmengine - INFO - Epoch(train) [31][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:24:26 time: 0.4158 data_time: 0.0363 memory: 4652 grad_norm: 2.8795 loss: 4.3263 loss_cls: 2.8808 loss_bbox: 1.4454 +2024/10/29 12:42:00 - mmengine - INFO - Epoch(train) [31][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:24:08 time: 0.4411 data_time: 0.0374 memory: 4652 grad_norm: 2.8077 loss: 4.3831 loss_cls: 2.9212 loss_bbox: 1.4619 +2024/10/29 12:42:22 - mmengine - INFO - Epoch(train) [31][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:23:48 time: 0.4360 data_time: 0.0507 memory: 4652 grad_norm: 2.8707 loss: 4.4415 loss_cls: 2.9648 loss_bbox: 1.4767 +2024/10/29 12:42:34 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 12:42:42 - mmengine - INFO - Epoch(train) [31][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:23:25 time: 0.4118 data_time: 0.0383 memory: 4652 grad_norm: 2.8662 loss: 4.3196 loss_cls: 2.9010 loss_bbox: 1.4186 +2024/10/29 12:43:04 - mmengine - INFO - Epoch(train) [31][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:23:05 time: 0.4361 data_time: 0.0425 memory: 4652 grad_norm: 2.6082 loss: 4.3050 loss_cls: 2.8657 loss_bbox: 1.4393 +2024/10/29 12:43:26 - mmengine - INFO - Epoch(train) [31][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:22:46 time: 0.4370 data_time: 0.0523 memory: 4652 grad_norm: 2.7379 loss: 4.3587 loss_cls: 2.9151 loss_bbox: 1.4436 +2024/10/29 12:43:48 - mmengine - INFO - Epoch(train) [31][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:22:28 time: 0.4421 data_time: 0.0378 memory: 4652 grad_norm: 3.0296 loss: 4.3319 loss_cls: 2.8771 loss_bbox: 1.4548 +2024/10/29 12:44:09 - mmengine - INFO - Epoch(train) [31][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:22:05 time: 0.4189 data_time: 0.0434 memory: 4652 grad_norm: 2.8306 loss: 4.4372 loss_cls: 2.9400 loss_bbox: 1.4972 +2024/10/29 12:44:31 - mmengine - INFO - Epoch(train) [31][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:21:46 time: 0.4352 data_time: 0.0441 memory: 4652 grad_norm: 2.7418 loss: 4.2689 loss_cls: 2.8820 loss_bbox: 1.3869 +2024/10/29 12:44:52 - mmengine - INFO - Epoch(train) [31][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:21:25 time: 0.4298 data_time: 0.0382 memory: 4652 grad_norm: 2.6483 loss: 4.4516 loss_cls: 2.9685 loss_bbox: 1.4830 +2024/10/29 12:45:14 - mmengine - INFO - Epoch(train) [31][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:21:06 time: 0.4350 data_time: 0.0454 memory: 4652 grad_norm: 2.9036 loss: 4.5042 loss_cls: 2.9690 loss_bbox: 1.5352 +2024/10/29 12:45:36 - mmengine - INFO - Epoch(train) [31][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:20:48 time: 0.4479 data_time: 0.0452 memory: 4652 grad_norm: 2.8537 loss: 4.3397 loss_cls: 2.9020 loss_bbox: 1.4377 +2024/10/29 12:45:58 - mmengine - INFO - Epoch(train) [31][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:20:26 time: 0.4213 data_time: 0.0386 memory: 4652 grad_norm: 2.6563 loss: 4.4118 loss_cls: 2.9496 loss_bbox: 1.4622 +2024/10/29 12:46:21 - mmengine - INFO - Epoch(train) [31][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:20:12 time: 0.4682 data_time: 0.0661 memory: 4652 grad_norm: 2.8309 loss: 4.4157 loss_cls: 2.9321 loss_bbox: 1.4836 +2024/10/29 12:46:44 - mmengine - INFO - Epoch(train) [31][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:19:55 time: 0.4550 data_time: 0.0530 memory: 4652 grad_norm: 2.7254 loss: 4.4170 loss_cls: 2.9207 loss_bbox: 1.4963 +2024/10/29 12:47:06 - mmengine - INFO - Epoch(train) [31][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:19:37 time: 0.4426 data_time: 0.0384 memory: 4652 grad_norm: 2.6838 loss: 4.4499 loss_cls: 2.9504 loss_bbox: 1.4996 +2024/10/29 12:47:28 - mmengine - INFO - Epoch(train) [31][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:19:18 time: 0.4419 data_time: 0.0458 memory: 4652 grad_norm: 2.7544 loss: 4.4140 loss_cls: 2.9277 loss_bbox: 1.4863 +2024/10/29 12:47:49 - mmengine - INFO - Epoch(train) [31][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:18:57 time: 0.4229 data_time: 0.0362 memory: 4652 grad_norm: 2.8022 loss: 4.4385 loss_cls: 2.9791 loss_bbox: 1.4593 +2024/10/29 12:48:11 - mmengine - INFO - Epoch(train) [31][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:18:38 time: 0.4398 data_time: 0.0437 memory: 4652 grad_norm: 2.7507 loss: 4.4186 loss_cls: 2.9582 loss_bbox: 1.4604 +2024/10/29 12:48:33 - mmengine - INFO - Epoch(train) [31][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:18:18 time: 0.4306 data_time: 0.0397 memory: 4652 grad_norm: 2.9659 loss: 4.5030 loss_cls: 2.9767 loss_bbox: 1.5262 +2024/10/29 12:48:55 - mmengine - INFO - Epoch(train) [31][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:17:59 time: 0.4415 data_time: 0.0399 memory: 4652 grad_norm: 2.6629 loss: 4.4268 loss_cls: 2.9312 loss_bbox: 1.4956 +2024/10/29 12:49:17 - mmengine - INFO - Epoch(train) [31][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:17:39 time: 0.4364 data_time: 0.0381 memory: 4652 grad_norm: 3.0039 loss: 4.3249 loss_cls: 2.8659 loss_bbox: 1.4590 +2024/10/29 12:49:38 - mmengine - INFO - Epoch(train) [31][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:17:20 time: 0.4351 data_time: 0.0454 memory: 4652 grad_norm: 2.8415 loss: 4.3201 loss_cls: 2.9030 loss_bbox: 1.4171 +2024/10/29 12:49:51 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 12:50:00 - mmengine - INFO - Epoch(train) [31][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:16:59 time: 0.4270 data_time: 0.0382 memory: 4652 grad_norm: 2.7032 loss: 4.4537 loss_cls: 2.9404 loss_bbox: 1.5133 +2024/10/29 12:50:21 - mmengine - INFO - Epoch(train) [31][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:16:38 time: 0.4279 data_time: 0.0392 memory: 4652 grad_norm: 2.6682 loss: 4.3033 loss_cls: 2.8901 loss_bbox: 1.4131 +2024/10/29 12:50:43 - mmengine - INFO - Epoch(train) [31][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:16:18 time: 0.4292 data_time: 0.0372 memory: 4652 grad_norm: 2.8240 loss: 4.4639 loss_cls: 2.9857 loss_bbox: 1.4783 +2024/10/29 12:51:04 - mmengine - INFO - Epoch(train) [31][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:15:57 time: 0.4316 data_time: 0.0394 memory: 4652 grad_norm: 2.7920 loss: 4.3183 loss_cls: 2.8676 loss_bbox: 1.4507 +2024/10/29 12:51:26 - mmengine - INFO - Epoch(train) [31][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:15:39 time: 0.4453 data_time: 0.0438 memory: 4652 grad_norm: 2.5536 loss: 4.4174 loss_cls: 2.9441 loss_bbox: 1.4734 +2024/10/29 12:51:48 - mmengine - INFO - Epoch(train) [31][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:15:20 time: 0.4384 data_time: 0.0369 memory: 4652 grad_norm: 2.8639 loss: 4.5550 loss_cls: 3.0581 loss_bbox: 1.4969 +2024/10/29 12:52:12 - mmengine - INFO - Epoch(train) [31][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:15:07 time: 0.4779 data_time: 0.0799 memory: 4652 grad_norm: 2.7607 loss: 4.3100 loss_cls: 2.8780 loss_bbox: 1.4319 +2024/10/29 12:52:34 - mmengine - INFO - Epoch(train) [31][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:14:48 time: 0.4382 data_time: 0.0459 memory: 4652 grad_norm: 2.6486 loss: 4.2830 loss_cls: 2.8724 loss_bbox: 1.4106 +2024/10/29 12:52:56 - mmengine - INFO - Epoch(train) [31][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:14:28 time: 0.4353 data_time: 0.0377 memory: 4652 grad_norm: 2.7496 loss: 4.3631 loss_cls: 2.9257 loss_bbox: 1.4375 +2024/10/29 12:53:18 - mmengine - INFO - Epoch(train) [31][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:14:10 time: 0.4426 data_time: 0.0437 memory: 4652 grad_norm: 2.8242 loss: 4.3616 loss_cls: 2.8984 loss_bbox: 1.4632 +2024/10/29 12:53:40 - mmengine - INFO - Epoch(train) [31][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:13:52 time: 0.4486 data_time: 0.0384 memory: 4652 grad_norm: 2.6563 loss: 4.4689 loss_cls: 2.9868 loss_bbox: 1.4821 +2024/10/29 12:54:02 - mmengine - INFO - Epoch(train) [31][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:13:33 time: 0.4358 data_time: 0.0390 memory: 4652 grad_norm: 2.7054 loss: 4.3607 loss_cls: 2.9221 loss_bbox: 1.4386 +2024/10/29 12:54:27 - mmengine - INFO - Epoch(train) [31][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:13:22 time: 0.4906 data_time: 0.0998 memory: 4652 grad_norm: 2.6707 loss: 4.4272 loss_cls: 2.9623 loss_bbox: 1.4650 +2024/10/29 12:54:49 - mmengine - INFO - Epoch(train) [31][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:13:02 time: 0.4385 data_time: 0.0377 memory: 4652 grad_norm: 2.7123 loss: 4.4321 loss_cls: 2.9534 loss_bbox: 1.4787 +2024/10/29 12:55:10 - mmengine - INFO - Epoch(train) [31][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:12:43 time: 0.4349 data_time: 0.0475 memory: 4652 grad_norm: 2.8312 loss: 4.3523 loss_cls: 2.8929 loss_bbox: 1.4594 +2024/10/29 12:55:33 - mmengine - INFO - Epoch(train) [31][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:12:25 time: 0.4491 data_time: 0.0413 memory: 4652 grad_norm: 2.8051 loss: 4.4041 loss_cls: 2.9494 loss_bbox: 1.4547 +2024/10/29 12:55:55 - mmengine - INFO - Epoch(train) [31][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:12:07 time: 0.4450 data_time: 0.0374 memory: 4652 grad_norm: 2.8260 loss: 4.3954 loss_cls: 2.9440 loss_bbox: 1.4514 +2024/10/29 12:56:18 - mmengine - INFO - Epoch(train) [31][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:11:50 time: 0.4504 data_time: 0.0461 memory: 4652 grad_norm: 2.7836 loss: 4.4486 loss_cls: 2.9693 loss_bbox: 1.4793 +2024/10/29 12:56:40 - mmengine - INFO - Epoch(train) [31][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:11:31 time: 0.4448 data_time: 0.0418 memory: 4652 grad_norm: 2.8776 loss: 4.3433 loss_cls: 2.9438 loss_bbox: 1.3995 +2024/10/29 12:57:02 - mmengine - INFO - Epoch(train) [31][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:11:13 time: 0.4462 data_time: 0.0455 memory: 4652 grad_norm: 2.6927 loss: 4.3970 loss_cls: 2.9338 loss_bbox: 1.4632 +2024/10/29 12:57:19 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 12:57:28 - mmengine - INFO - Epoch(train) [31][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:11:04 time: 0.5041 data_time: 0.1021 memory: 4652 grad_norm: 2.8519 loss: 4.3354 loss_cls: 2.9072 loss_bbox: 1.4281 +2024/10/29 12:57:50 - mmengine - INFO - Epoch(train) [31][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:10:47 time: 0.4508 data_time: 0.0461 memory: 4652 grad_norm: 2.6308 loss: 4.3772 loss_cls: 2.9114 loss_bbox: 1.4658 +2024/10/29 12:58:13 - mmengine - INFO - Epoch(train) [31][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:10:31 time: 0.4567 data_time: 0.0427 memory: 4652 grad_norm: 2.8396 loss: 4.4149 loss_cls: 2.9385 loss_bbox: 1.4764 +2024/10/29 12:58:34 - mmengine - INFO - Epoch(train) [31][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:10:10 time: 0.4290 data_time: 0.0368 memory: 4652 grad_norm: 2.8989 loss: 4.4075 loss_cls: 2.9205 loss_bbox: 1.4870 +2024/10/29 12:58:57 - mmengine - INFO - Epoch(train) [31][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:09:53 time: 0.4511 data_time: 0.0404 memory: 4652 grad_norm: 2.8957 loss: 4.3400 loss_cls: 2.9320 loss_bbox: 1.4080 +2024/10/29 12:59:19 - mmengine - INFO - Epoch(train) [31][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:09:33 time: 0.4342 data_time: 0.0377 memory: 4652 grad_norm: 2.7330 loss: 4.4402 loss_cls: 2.9512 loss_bbox: 1.4890 +2024/10/29 12:59:40 - mmengine - INFO - Epoch(train) [31][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:09:13 time: 0.4348 data_time: 0.0368 memory: 4652 grad_norm: 2.6275 loss: 4.4136 loss_cls: 2.9379 loss_bbox: 1.4757 +2024/10/29 13:00:03 - mmengine - INFO - Epoch(train) [31][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:08:55 time: 0.4473 data_time: 0.0425 memory: 4652 grad_norm: 2.7950 loss: 4.4639 loss_cls: 2.9794 loss_bbox: 1.4845 +2024/10/29 13:00:28 - mmengine - INFO - Epoch(train) [31][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:08:46 time: 0.5073 data_time: 0.1013 memory: 4652 grad_norm: 2.9735 loss: 4.4482 loss_cls: 2.9689 loss_bbox: 1.4793 +2024/10/29 13:00:50 - mmengine - INFO - Epoch(train) [31][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:08:28 time: 0.4418 data_time: 0.0450 memory: 4652 grad_norm: 2.7783 loss: 4.3929 loss_cls: 2.9017 loss_bbox: 1.4912 +2024/10/29 13:01:12 - mmengine - INFO - Epoch(train) [31][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:08:09 time: 0.4414 data_time: 0.0365 memory: 4652 grad_norm: 2.8661 loss: 4.4248 loss_cls: 2.9584 loss_bbox: 1.4664 +2024/10/29 13:01:35 - mmengine - INFO - Epoch(train) [31][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:07:51 time: 0.4492 data_time: 0.0364 memory: 4652 grad_norm: 2.9289 loss: 4.3886 loss_cls: 2.9280 loss_bbox: 1.4605 +2024/10/29 13:01:57 - mmengine - INFO - Epoch(train) [31][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:07:32 time: 0.4408 data_time: 0.0362 memory: 4652 grad_norm: 2.8581 loss: 4.3767 loss_cls: 2.9138 loss_bbox: 1.4628 +2024/10/29 13:02:19 - mmengine - INFO - Epoch(train) [31][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:07:13 time: 0.4349 data_time: 0.0384 memory: 4652 grad_norm: 2.6534 loss: 4.3936 loss_cls: 2.9190 loss_bbox: 1.4746 +2024/10/29 13:02:20 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 13:02:20 - mmengine - INFO - Saving checkpoint at 31 epochs +2024/10/29 13:02:48 - mmengine - INFO - Epoch(train) [32][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:06:51 time: 0.4430 data_time: 0.0565 memory: 4652 grad_norm: 2.7182 loss: 4.3957 loss_cls: 2.9461 loss_bbox: 1.4496 +2024/10/29 13:03:09 - mmengine - INFO - Epoch(train) [32][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:06:30 time: 0.4249 data_time: 0.0463 memory: 4652 grad_norm: 2.8582 loss: 4.4599 loss_cls: 2.9934 loss_bbox: 1.4665 +2024/10/29 13:03:30 - mmengine - INFO - Epoch(train) [32][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:06:08 time: 0.4196 data_time: 0.0410 memory: 4652 grad_norm: 2.9609 loss: 4.4564 loss_cls: 2.9813 loss_bbox: 1.4751 +2024/10/29 13:03:51 - mmengine - INFO - Epoch(train) [32][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:05:47 time: 0.4265 data_time: 0.0424 memory: 4652 grad_norm: 2.8212 loss: 4.3631 loss_cls: 2.9052 loss_bbox: 1.4579 +2024/10/29 13:04:12 - mmengine - INFO - Epoch(train) [32][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:05:24 time: 0.4155 data_time: 0.0392 memory: 4652 grad_norm: 2.8451 loss: 4.2872 loss_cls: 2.8980 loss_bbox: 1.3892 +2024/10/29 13:04:34 - mmengine - INFO - Epoch(train) [32][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:05:03 time: 0.4296 data_time: 0.0394 memory: 4652 grad_norm: 2.6062 loss: 4.3951 loss_cls: 2.9425 loss_bbox: 1.4526 +2024/10/29 13:04:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 13:04:55 - mmengine - INFO - Epoch(train) [32][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:04:44 time: 0.4378 data_time: 0.0452 memory: 4652 grad_norm: 2.7737 loss: 4.3653 loss_cls: 2.9120 loss_bbox: 1.4533 +2024/10/29 13:05:17 - mmengine - INFO - Epoch(train) [32][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:04:24 time: 0.4327 data_time: 0.0442 memory: 4652 grad_norm: 2.7929 loss: 4.3691 loss_cls: 2.9249 loss_bbox: 1.4442 +2024/10/29 13:05:38 - mmengine - INFO - Epoch(train) [32][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:04:03 time: 0.4254 data_time: 0.0414 memory: 4652 grad_norm: 2.8847 loss: 4.3556 loss_cls: 2.9123 loss_bbox: 1.4433 +2024/10/29 13:06:00 - mmengine - INFO - Epoch(train) [32][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:03:41 time: 0.4229 data_time: 0.0404 memory: 4652 grad_norm: 2.8694 loss: 4.3775 loss_cls: 2.9055 loss_bbox: 1.4720 +2024/10/29 13:06:21 - mmengine - INFO - Epoch(train) [32][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:03:20 time: 0.4290 data_time: 0.0438 memory: 4652 grad_norm: 3.0154 loss: 4.4507 loss_cls: 2.9387 loss_bbox: 1.5120 +2024/10/29 13:06:42 - mmengine - INFO - Epoch(train) [32][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:03:00 time: 0.4292 data_time: 0.0390 memory: 4652 grad_norm: 2.7763 loss: 4.4678 loss_cls: 2.9774 loss_bbox: 1.4904 +2024/10/29 13:07:05 - mmengine - INFO - Epoch(train) [32][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:02:42 time: 0.4499 data_time: 0.0442 memory: 4652 grad_norm: 2.6998 loss: 4.3942 loss_cls: 2.9212 loss_bbox: 1.4730 +2024/10/29 13:07:26 - mmengine - INFO - Epoch(train) [32][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:02:21 time: 0.4270 data_time: 0.0435 memory: 4652 grad_norm: 3.1015 loss: 4.4049 loss_cls: 2.9280 loss_bbox: 1.4769 +2024/10/29 13:07:48 - mmengine - INFO - Epoch(train) [32][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:02:00 time: 0.4288 data_time: 0.0378 memory: 4652 grad_norm: 2.6070 loss: 4.4166 loss_cls: 2.9329 loss_bbox: 1.4837 +2024/10/29 13:08:09 - mmengine - INFO - Epoch(train) [32][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:01:38 time: 0.4202 data_time: 0.0401 memory: 4652 grad_norm: 2.8865 loss: 4.4257 loss_cls: 2.9536 loss_bbox: 1.4721 +2024/10/29 13:08:30 - mmengine - INFO - Epoch(train) [32][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:01:17 time: 0.4232 data_time: 0.0392 memory: 4652 grad_norm: 2.8257 loss: 4.3173 loss_cls: 2.8859 loss_bbox: 1.4313 +2024/10/29 13:08:52 - mmengine - INFO - Epoch(train) [32][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:00:57 time: 0.4348 data_time: 0.0419 memory: 4652 grad_norm: 2.6626 loss: 4.3574 loss_cls: 2.9260 loss_bbox: 1.4314 +2024/10/29 13:09:13 - mmengine - INFO - Epoch(train) [32][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:00:37 time: 0.4337 data_time: 0.0431 memory: 4652 grad_norm: 2.7252 loss: 4.3642 loss_cls: 2.9252 loss_bbox: 1.4391 +2024/10/29 13:09:35 - mmengine - INFO - Epoch(train) [32][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 8:00:16 time: 0.4308 data_time: 0.0410 memory: 4652 grad_norm: 2.7961 loss: 4.3102 loss_cls: 2.9072 loss_bbox: 1.4030 +2024/10/29 13:09:56 - mmengine - INFO - Epoch(train) [32][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:59:55 time: 0.4234 data_time: 0.0416 memory: 4652 grad_norm: 2.7339 loss: 4.3995 loss_cls: 2.9356 loss_bbox: 1.4640 +2024/10/29 13:10:18 - mmengine - INFO - Epoch(train) [32][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:59:34 time: 0.4293 data_time: 0.0391 memory: 4652 grad_norm: 2.9512 loss: 4.3440 loss_cls: 2.8740 loss_bbox: 1.4701 +2024/10/29 13:10:39 - mmengine - INFO - Epoch(train) [32][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:59:12 time: 0.4230 data_time: 0.0387 memory: 4652 grad_norm: 2.9660 loss: 4.3467 loss_cls: 2.9145 loss_bbox: 1.4323 +2024/10/29 13:11:01 - mmengine - INFO - Epoch(train) [32][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:58:52 time: 0.4357 data_time: 0.0409 memory: 4652 grad_norm: 2.6464 loss: 4.3637 loss_cls: 2.9200 loss_bbox: 1.4437 +2024/10/29 13:11:23 - mmengine - INFO - Epoch(train) [32][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:58:33 time: 0.4400 data_time: 0.0424 memory: 4652 grad_norm: 2.8168 loss: 4.3107 loss_cls: 2.8815 loss_bbox: 1.4292 +2024/10/29 13:11:44 - mmengine - INFO - Epoch(train) [32][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:58:14 time: 0.4362 data_time: 0.0382 memory: 4652 grad_norm: 2.7681 loss: 4.3848 loss_cls: 2.9385 loss_bbox: 1.4463 +2024/10/29 13:11:56 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 13:12:07 - mmengine - INFO - Epoch(train) [32][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:57:56 time: 0.4481 data_time: 0.0480 memory: 4652 grad_norm: 2.7172 loss: 4.4332 loss_cls: 2.9691 loss_bbox: 1.4641 +2024/10/29 13:12:29 - mmengine - INFO - Epoch(train) [32][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:57:36 time: 0.4368 data_time: 0.0413 memory: 4652 grad_norm: 2.7113 loss: 4.4374 loss_cls: 2.9486 loss_bbox: 1.4888 +2024/10/29 13:12:51 - mmengine - INFO - Epoch(train) [32][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:57:18 time: 0.4446 data_time: 0.0414 memory: 4652 grad_norm: 2.6224 loss: 4.4171 loss_cls: 2.9420 loss_bbox: 1.4751 +2024/10/29 13:13:13 - mmengine - INFO - Epoch(train) [32][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:56:58 time: 0.4345 data_time: 0.0553 memory: 4652 grad_norm: 2.8261 loss: 4.4028 loss_cls: 2.8990 loss_bbox: 1.5038 +2024/10/29 13:13:35 - mmengine - INFO - Epoch(train) [32][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:56:40 time: 0.4460 data_time: 0.0502 memory: 4652 grad_norm: 2.7759 loss: 4.3253 loss_cls: 2.9110 loss_bbox: 1.4143 +2024/10/29 13:13:57 - mmengine - INFO - Epoch(train) [32][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:56:21 time: 0.4408 data_time: 0.0387 memory: 4652 grad_norm: 2.6725 loss: 4.4549 loss_cls: 2.9588 loss_bbox: 1.4962 +2024/10/29 13:14:18 - mmengine - INFO - Epoch(train) [32][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:56:00 time: 0.4280 data_time: 0.0390 memory: 4652 grad_norm: 2.8946 loss: 4.3642 loss_cls: 2.9276 loss_bbox: 1.4366 +2024/10/29 13:14:40 - mmengine - INFO - Epoch(train) [32][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:55:39 time: 0.4288 data_time: 0.0397 memory: 4652 grad_norm: 2.9760 loss: 4.2982 loss_cls: 2.8831 loss_bbox: 1.4151 +2024/10/29 13:15:01 - mmengine - INFO - Epoch(train) [32][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:55:18 time: 0.4245 data_time: 0.0407 memory: 4652 grad_norm: 2.8150 loss: 4.3944 loss_cls: 2.9600 loss_bbox: 1.4344 +2024/10/29 13:15:23 - mmengine - INFO - Epoch(train) [32][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:54:59 time: 0.4455 data_time: 0.0388 memory: 4652 grad_norm: 2.7459 loss: 4.4352 loss_cls: 2.9821 loss_bbox: 1.4531 +2024/10/29 13:15:46 - mmengine - INFO - Epoch(train) [32][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:54:41 time: 0.4460 data_time: 0.0537 memory: 4652 grad_norm: 2.8196 loss: 4.3757 loss_cls: 2.9205 loss_bbox: 1.4552 +2024/10/29 13:16:07 - mmengine - INFO - Epoch(train) [32][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:54:21 time: 0.4310 data_time: 0.0376 memory: 4652 grad_norm: 2.7198 loss: 4.3535 loss_cls: 2.9415 loss_bbox: 1.4120 +2024/10/29 13:16:29 - mmengine - INFO - Epoch(train) [32][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:54:02 time: 0.4423 data_time: 0.0385 memory: 4652 grad_norm: 2.8654 loss: 4.3584 loss_cls: 2.9183 loss_bbox: 1.4401 +2024/10/29 13:16:50 - mmengine - INFO - Epoch(train) [32][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:53:40 time: 0.4226 data_time: 0.0403 memory: 4652 grad_norm: 2.7358 loss: 4.4429 loss_cls: 2.9563 loss_bbox: 1.4866 +2024/10/29 13:17:13 - mmengine - INFO - Epoch(train) [32][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:53:21 time: 0.4420 data_time: 0.0424 memory: 4652 grad_norm: 2.9402 loss: 4.3854 loss_cls: 2.9399 loss_bbox: 1.4455 +2024/10/29 13:17:34 - mmengine - INFO - Epoch(train) [32][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:53:01 time: 0.4339 data_time: 0.0438 memory: 4652 grad_norm: 2.8508 loss: 4.3411 loss_cls: 2.9111 loss_bbox: 1.4300 +2024/10/29 13:17:56 - mmengine - INFO - Epoch(train) [32][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:52:41 time: 0.4348 data_time: 0.0457 memory: 4652 grad_norm: 2.9050 loss: 4.4661 loss_cls: 2.9925 loss_bbox: 1.4736 +2024/10/29 13:18:19 - mmengine - INFO - Epoch(train) [32][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:52:24 time: 0.4516 data_time: 0.0515 memory: 4652 grad_norm: 2.7392 loss: 4.4528 loss_cls: 2.9675 loss_bbox: 1.4853 +2024/10/29 13:18:40 - mmengine - INFO - Epoch(train) [32][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:52:04 time: 0.4325 data_time: 0.0379 memory: 4652 grad_norm: 2.8379 loss: 4.3562 loss_cls: 2.8953 loss_bbox: 1.4609 +2024/10/29 13:19:01 - mmengine - INFO - Epoch(train) [32][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:51:42 time: 0.4257 data_time: 0.0379 memory: 4652 grad_norm: 3.0145 loss: 4.3980 loss_cls: 2.9282 loss_bbox: 1.4699 +2024/10/29 13:19:13 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 13:19:23 - mmengine - INFO - Epoch(train) [32][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:51:23 time: 0.4348 data_time: 0.0378 memory: 4652 grad_norm: 2.7292 loss: 4.3916 loss_cls: 2.9102 loss_bbox: 1.4814 +2024/10/29 13:19:45 - mmengine - INFO - Epoch(train) [32][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:51:03 time: 0.4361 data_time: 0.0387 memory: 4652 grad_norm: 2.7986 loss: 4.3737 loss_cls: 2.9242 loss_bbox: 1.4495 +2024/10/29 13:20:08 - mmengine - INFO - Epoch(train) [32][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:50:46 time: 0.4538 data_time: 0.0421 memory: 4652 grad_norm: 2.7686 loss: 4.3511 loss_cls: 2.9238 loss_bbox: 1.4273 +2024/10/29 13:20:29 - mmengine - INFO - Epoch(train) [32][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:50:26 time: 0.4333 data_time: 0.0404 memory: 4652 grad_norm: 2.7701 loss: 4.4858 loss_cls: 2.9725 loss_bbox: 1.5133 +2024/10/29 13:20:52 - mmengine - INFO - Epoch(train) [32][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:50:07 time: 0.4424 data_time: 0.0386 memory: 4652 grad_norm: 2.7240 loss: 4.3610 loss_cls: 2.9344 loss_bbox: 1.4266 +2024/10/29 13:21:13 - mmengine - INFO - Epoch(train) [32][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:49:47 time: 0.4375 data_time: 0.0373 memory: 4652 grad_norm: 2.8227 loss: 4.3311 loss_cls: 2.9026 loss_bbox: 1.4285 +2024/10/29 13:21:36 - mmengine - INFO - Epoch(train) [32][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:49:28 time: 0.4421 data_time: 0.0386 memory: 4652 grad_norm: 2.8864 loss: 4.3625 loss_cls: 2.9079 loss_bbox: 1.4545 +2024/10/29 13:21:58 - mmengine - INFO - Epoch(train) [32][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:49:10 time: 0.4440 data_time: 0.0465 memory: 4652 grad_norm: 2.7373 loss: 4.3257 loss_cls: 2.9040 loss_bbox: 1.4217 +2024/10/29 13:22:19 - mmengine - INFO - Epoch(train) [32][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:48:49 time: 0.4299 data_time: 0.0402 memory: 4652 grad_norm: 2.5407 loss: 4.4203 loss_cls: 2.9314 loss_bbox: 1.4888 +2024/10/29 13:22:41 - mmengine - INFO - Epoch(train) [32][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:48:28 time: 0.4285 data_time: 0.0390 memory: 4652 grad_norm: 2.8682 loss: 4.5116 loss_cls: 3.0077 loss_bbox: 1.5039 +2024/10/29 13:23:02 - mmengine - INFO - Epoch(train) [32][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:48:06 time: 0.4216 data_time: 0.0392 memory: 4652 grad_norm: 2.8579 loss: 4.4483 loss_cls: 2.9777 loss_bbox: 1.4706 +2024/10/29 13:23:25 - mmengine - INFO - Epoch(train) [32][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:47:52 time: 0.4741 data_time: 0.0779 memory: 4652 grad_norm: 2.9421 loss: 4.3956 loss_cls: 2.9669 loss_bbox: 1.4288 +2024/10/29 13:23:47 - mmengine - INFO - Epoch(train) [32][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:47:32 time: 0.4315 data_time: 0.0371 memory: 4652 grad_norm: 2.7416 loss: 4.3352 loss_cls: 2.9182 loss_bbox: 1.4170 +2024/10/29 13:24:09 - mmengine - INFO - Epoch(train) [32][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:47:12 time: 0.4327 data_time: 0.0442 memory: 4652 grad_norm: 2.9864 loss: 4.4846 loss_cls: 2.9951 loss_bbox: 1.4895 +2024/10/29 13:24:31 - mmengine - INFO - Epoch(train) [32][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:46:53 time: 0.4437 data_time: 0.0372 memory: 4652 grad_norm: 2.8763 loss: 4.4636 loss_cls: 2.9949 loss_bbox: 1.4687 +2024/10/29 13:24:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 13:24:32 - mmengine - INFO - Saving checkpoint at 32 epochs +2024/10/29 13:25:00 - mmengine - INFO - Epoch(train) [33][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:46:30 time: 0.4278 data_time: 0.0583 memory: 4652 grad_norm: 2.7115 loss: 4.3556 loss_cls: 2.9036 loss_bbox: 1.4520 +2024/10/29 13:25:21 - mmengine - INFO - Epoch(train) [33][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:46:09 time: 0.4295 data_time: 0.0388 memory: 4652 grad_norm: 2.7727 loss: 4.3270 loss_cls: 2.9180 loss_bbox: 1.4089 +2024/10/29 13:25:43 - mmengine - INFO - Epoch(train) [33][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:45:49 time: 0.4324 data_time: 0.0367 memory: 4652 grad_norm: 3.0304 loss: 4.3421 loss_cls: 2.9351 loss_bbox: 1.4070 +2024/10/29 13:26:04 - mmengine - INFO - Epoch(train) [33][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:45:26 time: 0.4173 data_time: 0.0394 memory: 4652 grad_norm: 3.0276 loss: 4.3687 loss_cls: 2.9324 loss_bbox: 1.4363 +2024/10/29 13:26:25 - mmengine - INFO - Epoch(train) [33][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:45:06 time: 0.4328 data_time: 0.0393 memory: 4652 grad_norm: 2.5905 loss: 4.2698 loss_cls: 2.8558 loss_bbox: 1.4140 +2024/10/29 13:26:35 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 13:26:47 - mmengine - INFO - Epoch(train) [33][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:44:44 time: 0.4221 data_time: 0.0374 memory: 4652 grad_norm: 2.9993 loss: 4.4757 loss_cls: 2.9704 loss_bbox: 1.5053 +2024/10/29 13:27:08 - mmengine - INFO - Epoch(train) [33][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:44:25 time: 0.4380 data_time: 0.0373 memory: 4652 grad_norm: 2.8994 loss: 4.4432 loss_cls: 2.9662 loss_bbox: 1.4770 +2024/10/29 13:27:31 - mmengine - INFO - Epoch(train) [33][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:44:06 time: 0.4427 data_time: 0.0390 memory: 4652 grad_norm: 2.8427 loss: 4.4510 loss_cls: 2.9835 loss_bbox: 1.4676 +2024/10/29 13:27:52 - mmengine - INFO - Epoch(train) [33][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:43:45 time: 0.4280 data_time: 0.0376 memory: 4652 grad_norm: 2.7797 loss: 4.4934 loss_cls: 3.0129 loss_bbox: 1.4806 +2024/10/29 13:28:14 - mmengine - INFO - Epoch(train) [33][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:43:25 time: 0.4356 data_time: 0.0387 memory: 4652 grad_norm: 2.7460 loss: 4.3542 loss_cls: 2.9164 loss_bbox: 1.4378 +2024/10/29 13:28:35 - mmengine - INFO - Epoch(train) [33][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:43:05 time: 0.4329 data_time: 0.0428 memory: 4652 grad_norm: 2.6605 loss: 4.4477 loss_cls: 2.9442 loss_bbox: 1.5035 +2024/10/29 13:28:57 - mmengine - INFO - Epoch(train) [33][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:42:43 time: 0.4219 data_time: 0.0378 memory: 4652 grad_norm: 2.9754 loss: 4.4228 loss_cls: 2.9352 loss_bbox: 1.4876 +2024/10/29 13:29:18 - mmengine - INFO - Epoch(train) [33][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:42:23 time: 0.4368 data_time: 0.0421 memory: 4652 grad_norm: 2.6733 loss: 4.3895 loss_cls: 2.9510 loss_bbox: 1.4384 +2024/10/29 13:29:39 - mmengine - INFO - Epoch(train) [33][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:42:01 time: 0.4210 data_time: 0.0384 memory: 4652 grad_norm: 2.6448 loss: 4.4411 loss_cls: 2.8979 loss_bbox: 1.5432 +2024/10/29 13:30:00 - mmengine - INFO - Epoch(train) [33][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:41:39 time: 0.4169 data_time: 0.0368 memory: 4652 grad_norm: 2.9283 loss: 4.3131 loss_cls: 2.8836 loss_bbox: 1.4294 +2024/10/29 13:30:23 - mmengine - INFO - Epoch(train) [33][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:41:20 time: 0.4446 data_time: 0.0461 memory: 4652 grad_norm: 2.7762 loss: 4.4571 loss_cls: 2.9406 loss_bbox: 1.5166 +2024/10/29 13:30:44 - mmengine - INFO - Epoch(train) [33][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:40:58 time: 0.4205 data_time: 0.0388 memory: 4652 grad_norm: 2.9016 loss: 4.3525 loss_cls: 2.8755 loss_bbox: 1.4769 +2024/10/29 13:31:05 - mmengine - INFO - Epoch(train) [33][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:40:37 time: 0.4281 data_time: 0.0377 memory: 4652 grad_norm: 2.8271 loss: 4.4045 loss_cls: 2.9315 loss_bbox: 1.4731 +2024/10/29 13:31:27 - mmengine - INFO - Epoch(train) [33][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:40:18 time: 0.4382 data_time: 0.0371 memory: 4652 grad_norm: 2.9925 loss: 4.4036 loss_cls: 2.9328 loss_bbox: 1.4708 +2024/10/29 13:31:48 - mmengine - INFO - Epoch(train) [33][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:39:56 time: 0.4250 data_time: 0.0393 memory: 4652 grad_norm: 2.5958 loss: 4.4681 loss_cls: 2.9654 loss_bbox: 1.5027 +2024/10/29 13:32:10 - mmengine - INFO - Epoch(train) [33][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:39:36 time: 0.4346 data_time: 0.0431 memory: 4652 grad_norm: 2.7950 loss: 4.4196 loss_cls: 2.9402 loss_bbox: 1.4795 +2024/10/29 13:32:31 - mmengine - INFO - Epoch(train) [33][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:39:14 time: 0.4194 data_time: 0.0426 memory: 4652 grad_norm: 2.9847 loss: 4.4110 loss_cls: 2.9510 loss_bbox: 1.4600 +2024/10/29 13:32:52 - mmengine - INFO - Epoch(train) [33][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:38:53 time: 0.4258 data_time: 0.0352 memory: 4652 grad_norm: 2.7336 loss: 4.4230 loss_cls: 2.9538 loss_bbox: 1.4692 +2024/10/29 13:33:14 - mmengine - INFO - Epoch(train) [33][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:38:33 time: 0.4389 data_time: 0.0369 memory: 4652 grad_norm: 2.9832 loss: 4.3775 loss_cls: 2.9402 loss_bbox: 1.4373 +2024/10/29 13:33:36 - mmengine - INFO - Epoch(train) [33][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:38:15 time: 0.4444 data_time: 0.0368 memory: 4652 grad_norm: 2.9577 loss: 4.3627 loss_cls: 2.9335 loss_bbox: 1.4292 +2024/10/29 13:33:46 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 13:33:58 - mmengine - INFO - Epoch(train) [33][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:37:56 time: 0.4400 data_time: 0.0451 memory: 4652 grad_norm: 2.9179 loss: 4.2735 loss_cls: 2.8851 loss_bbox: 1.3884 +2024/10/29 13:34:20 - mmengine - INFO - Epoch(train) [33][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:37:36 time: 0.4401 data_time: 0.0365 memory: 4652 grad_norm: 2.7601 loss: 4.4219 loss_cls: 2.9616 loss_bbox: 1.4603 +2024/10/29 13:34:43 - mmengine - INFO - Epoch(train) [33][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:37:19 time: 0.4538 data_time: 0.0465 memory: 4652 grad_norm: 3.2281 loss: 4.4050 loss_cls: 2.9249 loss_bbox: 1.4801 +2024/10/29 13:35:05 - mmengine - INFO - Epoch(train) [33][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:37:01 time: 0.4459 data_time: 0.0449 memory: 4652 grad_norm: 2.7178 loss: 4.3560 loss_cls: 2.9078 loss_bbox: 1.4482 +2024/10/29 13:35:28 - mmengine - INFO - Epoch(train) [33][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:36:42 time: 0.4468 data_time: 0.0373 memory: 4652 grad_norm: 2.7497 loss: 4.4126 loss_cls: 2.9710 loss_bbox: 1.4415 +2024/10/29 13:35:50 - mmengine - INFO - Epoch(train) [33][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:36:24 time: 0.4460 data_time: 0.0381 memory: 4652 grad_norm: 2.8899 loss: 4.4700 loss_cls: 2.9890 loss_bbox: 1.4811 +2024/10/29 13:36:12 - mmengine - INFO - Epoch(train) [33][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:36:05 time: 0.4444 data_time: 0.0367 memory: 4652 grad_norm: 2.7558 loss: 4.4260 loss_cls: 2.9350 loss_bbox: 1.4910 +2024/10/29 13:36:35 - mmengine - INFO - Epoch(train) [33][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:35:49 time: 0.4607 data_time: 0.0453 memory: 4652 grad_norm: 2.6582 loss: 4.3505 loss_cls: 2.9275 loss_bbox: 1.4230 +2024/10/29 13:36:57 - mmengine - INFO - Epoch(train) [33][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:35:29 time: 0.4361 data_time: 0.0375 memory: 4652 grad_norm: 3.0279 loss: 4.4131 loss_cls: 2.9401 loss_bbox: 1.4731 +2024/10/29 13:37:19 - mmengine - INFO - Epoch(train) [33][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:35:09 time: 0.4325 data_time: 0.0428 memory: 4652 grad_norm: 2.8559 loss: 4.4384 loss_cls: 2.9806 loss_bbox: 1.4578 +2024/10/29 13:37:42 - mmengine - INFO - Epoch(train) [33][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:34:52 time: 0.4548 data_time: 0.0378 memory: 4652 grad_norm: 2.8047 loss: 4.4631 loss_cls: 3.0126 loss_bbox: 1.4505 +2024/10/29 13:38:04 - mmengine - INFO - Epoch(train) [33][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:34:35 time: 0.4563 data_time: 0.0467 memory: 4652 grad_norm: 2.8106 loss: 4.3877 loss_cls: 2.9741 loss_bbox: 1.4136 +2024/10/29 13:38:28 - mmengine - INFO - Epoch(train) [33][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:34:20 time: 0.4726 data_time: 0.0442 memory: 4652 grad_norm: 2.7764 loss: 4.4047 loss_cls: 2.9242 loss_bbox: 1.4805 +2024/10/29 13:38:50 - mmengine - INFO - Epoch(train) [33][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:34:02 time: 0.4467 data_time: 0.0375 memory: 4652 grad_norm: 2.6945 loss: 4.3516 loss_cls: 2.8841 loss_bbox: 1.4675 +2024/10/29 13:39:13 - mmengine - INFO - Epoch(train) [33][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:33:45 time: 0.4558 data_time: 0.0386 memory: 4652 grad_norm: 3.0306 loss: 4.3611 loss_cls: 2.9195 loss_bbox: 1.4415 +2024/10/29 13:39:35 - mmengine - INFO - Epoch(train) [33][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:33:26 time: 0.4449 data_time: 0.0380 memory: 4652 grad_norm: 2.8599 loss: 4.3368 loss_cls: 2.8898 loss_bbox: 1.4470 +2024/10/29 13:39:58 - mmengine - INFO - Epoch(train) [33][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:33:08 time: 0.4491 data_time: 0.0364 memory: 4652 grad_norm: 2.6345 loss: 4.4534 loss_cls: 2.9631 loss_bbox: 1.4903 +2024/10/29 13:40:21 - mmengine - INFO - Epoch(train) [33][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:32:54 time: 0.4728 data_time: 0.0448 memory: 4652 grad_norm: 2.6720 loss: 4.3314 loss_cls: 2.8970 loss_bbox: 1.4345 +2024/10/29 13:40:44 - mmengine - INFO - Epoch(train) [33][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:32:35 time: 0.4477 data_time: 0.0365 memory: 4652 grad_norm: 2.6990 loss: 4.4210 loss_cls: 2.9417 loss_bbox: 1.4794 +2024/10/29 13:41:10 - mmengine - INFO - Epoch(train) [33][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:32:29 time: 0.5283 data_time: 0.1160 memory: 4652 grad_norm: 2.9779 loss: 4.4181 loss_cls: 2.9446 loss_bbox: 1.4735 +2024/10/29 13:41:21 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 13:41:32 - mmengine - INFO - Epoch(train) [33][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:32:10 time: 0.4423 data_time: 0.0447 memory: 4652 grad_norm: 2.7777 loss: 4.4094 loss_cls: 2.9625 loss_bbox: 1.4469 +2024/10/29 13:41:55 - mmengine - INFO - Epoch(train) [33][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:31:51 time: 0.4430 data_time: 0.0424 memory: 4652 grad_norm: 2.5535 loss: 4.4545 loss_cls: 2.9590 loss_bbox: 1.4955 +2024/10/29 13:42:18 - mmengine - INFO - Epoch(train) [33][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:31:34 time: 0.4583 data_time: 0.0362 memory: 4652 grad_norm: 2.8434 loss: 4.4532 loss_cls: 2.9776 loss_bbox: 1.4755 +2024/10/29 13:42:39 - mmengine - INFO - Epoch(train) [33][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:31:14 time: 0.4345 data_time: 0.0381 memory: 4652 grad_norm: 2.7431 loss: 4.3998 loss_cls: 2.9452 loss_bbox: 1.4547 +2024/10/29 13:43:02 - mmengine - INFO - Epoch(train) [33][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:30:58 time: 0.4622 data_time: 0.0433 memory: 4652 grad_norm: 2.8313 loss: 4.2923 loss_cls: 2.8829 loss_bbox: 1.4094 +2024/10/29 13:43:26 - mmengine - INFO - Epoch(train) [33][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:30:44 time: 0.4798 data_time: 0.0861 memory: 4652 grad_norm: 2.9057 loss: 4.3537 loss_cls: 2.9149 loss_bbox: 1.4388 +2024/10/29 13:43:48 - mmengine - INFO - Epoch(train) [33][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:30:24 time: 0.4382 data_time: 0.0398 memory: 4652 grad_norm: 2.8178 loss: 4.3136 loss_cls: 2.8840 loss_bbox: 1.4296 +2024/10/29 13:44:11 - mmengine - INFO - Epoch(train) [33][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:30:07 time: 0.4530 data_time: 0.0390 memory: 4652 grad_norm: 2.7792 loss: 4.4201 loss_cls: 2.9107 loss_bbox: 1.5093 +2024/10/29 13:44:32 - mmengine - INFO - Epoch(train) [33][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:29:46 time: 0.4277 data_time: 0.0363 memory: 4652 grad_norm: 2.9777 loss: 4.3921 loss_cls: 2.9301 loss_bbox: 1.4620 +2024/10/29 13:44:55 - mmengine - INFO - Epoch(train) [33][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:29:27 time: 0.4472 data_time: 0.0372 memory: 4652 grad_norm: 3.0076 loss: 4.3257 loss_cls: 2.9047 loss_bbox: 1.4210 +2024/10/29 13:45:16 - mmengine - INFO - Epoch(train) [33][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:29:06 time: 0.4234 data_time: 0.0374 memory: 4652 grad_norm: 2.9297 loss: 4.3198 loss_cls: 2.8687 loss_bbox: 1.4511 +2024/10/29 13:45:37 - mmengine - INFO - Epoch(train) [33][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:28:43 time: 0.4151 data_time: 0.0421 memory: 4652 grad_norm: 2.6322 loss: 4.3588 loss_cls: 2.9043 loss_bbox: 1.4545 +2024/10/29 13:45:59 - mmengine - INFO - Epoch(train) [33][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:28:24 time: 0.4427 data_time: 0.0428 memory: 4652 grad_norm: 2.6870 loss: 4.3153 loss_cls: 2.8971 loss_bbox: 1.4183 +2024/10/29 13:46:20 - mmengine - INFO - Epoch(train) [33][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:28:02 time: 0.4244 data_time: 0.0400 memory: 4652 grad_norm: 3.0753 loss: 4.3890 loss_cls: 2.9178 loss_bbox: 1.4713 +2024/10/29 13:46:42 - mmengine - INFO - Epoch(train) [33][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:27:42 time: 0.4374 data_time: 0.0442 memory: 4652 grad_norm: 2.9436 loss: 4.4154 loss_cls: 2.9221 loss_bbox: 1.4933 +2024/10/29 13:47:03 - mmengine - INFO - Epoch(train) [33][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:27:22 time: 0.4315 data_time: 0.0390 memory: 4652 grad_norm: 2.8129 loss: 4.4387 loss_cls: 2.9862 loss_bbox: 1.4525 +2024/10/29 13:47:07 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 13:47:07 - mmengine - INFO - Saving checkpoint at 33 epochs +2024/10/29 13:47:33 - mmengine - INFO - Epoch(train) [34][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:27:04 time: 0.4377 data_time: 0.0521 memory: 4652 grad_norm: 2.8381 loss: 4.3410 loss_cls: 2.9414 loss_bbox: 1.3996 +2024/10/29 13:47:54 - mmengine - INFO - Epoch(train) [34][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:26:42 time: 0.4158 data_time: 0.0393 memory: 4652 grad_norm: 2.8132 loss: 4.3459 loss_cls: 2.9147 loss_bbox: 1.4312 +2024/10/29 13:48:15 - mmengine - INFO - Epoch(train) [34][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:26:20 time: 0.4217 data_time: 0.0422 memory: 4652 grad_norm: 2.7756 loss: 4.4413 loss_cls: 2.9646 loss_bbox: 1.4767 +2024/10/29 13:48:36 - mmengine - INFO - Epoch(train) [34][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:25:58 time: 0.4245 data_time: 0.0368 memory: 4652 grad_norm: 2.7634 loss: 4.3888 loss_cls: 2.9512 loss_bbox: 1.4376 +2024/10/29 13:48:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 13:48:58 - mmengine - INFO - Epoch(train) [34][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:25:37 time: 0.4264 data_time: 0.0456 memory: 4652 grad_norm: 2.6754 loss: 4.2815 loss_cls: 2.9048 loss_bbox: 1.3768 +2024/10/29 13:49:19 - mmengine - INFO - Epoch(train) [34][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:25:15 time: 0.4203 data_time: 0.0377 memory: 4652 grad_norm: 2.8713 loss: 4.4116 loss_cls: 2.9239 loss_bbox: 1.4877 +2024/10/29 13:49:40 - mmengine - INFO - Epoch(train) [34][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:24:54 time: 0.4285 data_time: 0.0519 memory: 4652 grad_norm: 2.7519 loss: 4.5116 loss_cls: 3.0269 loss_bbox: 1.4847 +2024/10/29 13:50:02 - mmengine - INFO - Epoch(train) [34][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:24:33 time: 0.4278 data_time: 0.0455 memory: 4652 grad_norm: 2.7697 loss: 4.5193 loss_cls: 3.0296 loss_bbox: 1.4897 +2024/10/29 13:50:27 - mmengine - INFO - Epoch(train) [34][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:24:21 time: 0.4974 data_time: 0.1135 memory: 4652 grad_norm: 2.9195 loss: 4.4285 loss_cls: 2.9451 loss_bbox: 1.4834 +2024/10/29 13:50:47 - mmengine - INFO - Epoch(train) [34][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:23:58 time: 0.4106 data_time: 0.0386 memory: 4652 grad_norm: 2.7805 loss: 4.4206 loss_cls: 2.9357 loss_bbox: 1.4849 +2024/10/29 13:51:08 - mmengine - INFO - Epoch(train) [34][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:23:36 time: 0.4254 data_time: 0.0471 memory: 4652 grad_norm: 2.7731 loss: 4.4326 loss_cls: 2.9544 loss_bbox: 1.4782 +2024/10/29 13:51:30 - mmengine - INFO - Epoch(train) [34][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:23:15 time: 0.4245 data_time: 0.0372 memory: 4652 grad_norm: 2.8873 loss: 4.3753 loss_cls: 2.9254 loss_bbox: 1.4500 +2024/10/29 13:51:51 - mmengine - INFO - Epoch(train) [34][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:22:53 time: 0.4237 data_time: 0.0429 memory: 4652 grad_norm: 2.7953 loss: 4.3544 loss_cls: 2.9090 loss_bbox: 1.4454 +2024/10/29 13:52:12 - mmengine - INFO - Epoch(train) [34][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:22:32 time: 0.4290 data_time: 0.0466 memory: 4652 grad_norm: 2.9029 loss: 4.4170 loss_cls: 2.9364 loss_bbox: 1.4806 +2024/10/29 13:52:33 - mmengine - INFO - Epoch(train) [34][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:22:10 time: 0.4200 data_time: 0.0495 memory: 4652 grad_norm: 2.7302 loss: 4.4168 loss_cls: 2.9627 loss_bbox: 1.4541 +2024/10/29 13:52:54 - mmengine - INFO - Epoch(train) [34][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:21:48 time: 0.4206 data_time: 0.0397 memory: 4652 grad_norm: 3.0861 loss: 4.3050 loss_cls: 2.8774 loss_bbox: 1.4277 +2024/10/29 13:53:16 - mmengine - INFO - Epoch(train) [34][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:21:27 time: 0.4308 data_time: 0.0396 memory: 4652 grad_norm: 2.8129 loss: 4.3823 loss_cls: 2.9033 loss_bbox: 1.4790 +2024/10/29 13:53:36 - mmengine - INFO - Epoch(train) [34][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:21:04 time: 0.4116 data_time: 0.0384 memory: 4652 grad_norm: 2.8204 loss: 4.5029 loss_cls: 2.9873 loss_bbox: 1.5156 +2024/10/29 13:53:58 - mmengine - INFO - Epoch(train) [34][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:20:44 time: 0.4349 data_time: 0.0490 memory: 4652 grad_norm: 2.9141 loss: 4.3470 loss_cls: 2.9079 loss_bbox: 1.4391 +2024/10/29 13:54:19 - mmengine - INFO - Epoch(train) [34][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:20:21 time: 0.4155 data_time: 0.0403 memory: 4652 grad_norm: 2.7761 loss: 4.3094 loss_cls: 2.8663 loss_bbox: 1.4431 +2024/10/29 13:54:40 - mmengine - INFO - Epoch(train) [34][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:19:58 time: 0.4116 data_time: 0.0375 memory: 4652 grad_norm: 2.8631 loss: 4.4472 loss_cls: 2.9560 loss_bbox: 1.4911 +2024/10/29 13:55:01 - mmengine - INFO - Epoch(train) [34][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:19:36 time: 0.4213 data_time: 0.0460 memory: 4652 grad_norm: 2.9893 loss: 4.4627 loss_cls: 2.9586 loss_bbox: 1.5041 +2024/10/29 13:55:21 - mmengine - INFO - Epoch(train) [34][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:19:13 time: 0.4149 data_time: 0.0405 memory: 4652 grad_norm: 2.7856 loss: 4.2765 loss_cls: 2.8732 loss_bbox: 1.4033 +2024/10/29 13:55:42 - mmengine - INFO - Epoch(train) [34][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:18:51 time: 0.4191 data_time: 0.0396 memory: 4652 grad_norm: 2.8759 loss: 4.4424 loss_cls: 2.9798 loss_bbox: 1.4627 +2024/10/29 13:55:51 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 13:56:04 - mmengine - INFO - Epoch(train) [34][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:18:29 time: 0.4261 data_time: 0.0487 memory: 4652 grad_norm: 2.6022 loss: 4.3611 loss_cls: 2.9222 loss_bbox: 1.4389 +2024/10/29 13:56:27 - mmengine - INFO - Epoch(train) [34][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:18:14 time: 0.4732 data_time: 0.0890 memory: 4652 grad_norm: 2.8129 loss: 4.5220 loss_cls: 3.0218 loss_bbox: 1.5001 +2024/10/29 13:56:48 - mmengine - INFO - Epoch(train) [34][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:17:53 time: 0.4225 data_time: 0.0390 memory: 4652 grad_norm: 2.7346 loss: 4.3903 loss_cls: 2.9333 loss_bbox: 1.4570 +2024/10/29 13:57:09 - mmengine - INFO - Epoch(train) [34][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:17:30 time: 0.4132 data_time: 0.0396 memory: 4652 grad_norm: 2.6504 loss: 4.2767 loss_cls: 2.8887 loss_bbox: 1.3879 +2024/10/29 13:57:30 - mmengine - INFO - Epoch(train) [34][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:17:08 time: 0.4245 data_time: 0.0395 memory: 4652 grad_norm: 2.9164 loss: 4.3331 loss_cls: 2.9031 loss_bbox: 1.4300 +2024/10/29 13:57:51 - mmengine - INFO - Epoch(train) [34][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:16:45 time: 0.4178 data_time: 0.0440 memory: 4652 grad_norm: 2.8025 loss: 4.3522 loss_cls: 2.9236 loss_bbox: 1.4285 +2024/10/29 13:58:12 - mmengine - INFO - Epoch(train) [34][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:16:24 time: 0.4218 data_time: 0.0456 memory: 4652 grad_norm: 2.8004 loss: 4.3904 loss_cls: 2.9533 loss_bbox: 1.4371 +2024/10/29 13:58:34 - mmengine - INFO - Epoch(train) [34][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:16:03 time: 0.4299 data_time: 0.0401 memory: 4652 grad_norm: 2.7893 loss: 4.4785 loss_cls: 2.9710 loss_bbox: 1.5075 +2024/10/29 13:58:55 - mmengine - INFO - Epoch(train) [34][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:15:40 time: 0.4139 data_time: 0.0408 memory: 4652 grad_norm: 2.8790 loss: 4.3947 loss_cls: 2.9250 loss_bbox: 1.4696 +2024/10/29 13:59:16 - mmengine - INFO - Epoch(train) [34][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:15:19 time: 0.4284 data_time: 0.0467 memory: 4652 grad_norm: 2.8228 loss: 4.4114 loss_cls: 2.9635 loss_bbox: 1.4479 +2024/10/29 13:59:36 - mmengine - INFO - Epoch(train) [34][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:14:55 time: 0.4067 data_time: 0.0404 memory: 4652 grad_norm: 2.8599 loss: 4.3897 loss_cls: 2.9492 loss_bbox: 1.4405 +2024/10/29 13:59:57 - mmengine - INFO - Epoch(train) [34][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:14:32 time: 0.4127 data_time: 0.0397 memory: 4652 grad_norm: 2.8439 loss: 4.4002 loss_cls: 2.9185 loss_bbox: 1.4817 +2024/10/29 14:00:19 - mmengine - INFO - Epoch(train) [34][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:14:12 time: 0.4390 data_time: 0.0454 memory: 4652 grad_norm: 2.7664 loss: 4.3159 loss_cls: 2.8652 loss_bbox: 1.4507 +2024/10/29 14:00:40 - mmengine - INFO - Epoch(train) [34][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:13:50 time: 0.4203 data_time: 0.0481 memory: 4652 grad_norm: 2.7249 loss: 4.3988 loss_cls: 2.9377 loss_bbox: 1.4611 +2024/10/29 14:01:01 - mmengine - INFO - Epoch(train) [34][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:13:28 time: 0.4249 data_time: 0.0392 memory: 4652 grad_norm: 2.7441 loss: 4.3928 loss_cls: 2.9465 loss_bbox: 1.4463 +2024/10/29 14:01:21 - mmengine - INFO - Epoch(train) [34][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:13:04 time: 0.4027 data_time: 0.0397 memory: 4652 grad_norm: 2.6438 loss: 4.4424 loss_cls: 2.9621 loss_bbox: 1.4803 +2024/10/29 14:01:42 - mmengine - INFO - Epoch(train) [34][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:12:41 time: 0.4108 data_time: 0.0393 memory: 4652 grad_norm: 3.0171 loss: 4.4504 loss_cls: 2.9719 loss_bbox: 1.4785 +2024/10/29 14:02:03 - mmengine - INFO - Epoch(train) [34][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:12:18 time: 0.4206 data_time: 0.0405 memory: 4652 grad_norm: 3.0036 loss: 4.3085 loss_cls: 2.8708 loss_bbox: 1.4377 +2024/10/29 14:02:26 - mmengine - INFO - Epoch(train) [34][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:12:03 time: 0.4701 data_time: 0.0975 memory: 4652 grad_norm: 2.7861 loss: 4.2756 loss_cls: 2.8716 loss_bbox: 1.4041 +2024/10/29 14:02:48 - mmengine - INFO - Epoch(train) [34][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:11:42 time: 0.4243 data_time: 0.0400 memory: 4652 grad_norm: 2.8551 loss: 4.4364 loss_cls: 2.9500 loss_bbox: 1.4863 +2024/10/29 14:02:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 14:03:08 - mmengine - INFO - Epoch(train) [34][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:11:19 time: 0.4156 data_time: 0.0432 memory: 4652 grad_norm: 2.8426 loss: 4.3687 loss_cls: 2.9016 loss_bbox: 1.4671 +2024/10/29 14:03:30 - mmengine - INFO - Epoch(train) [34][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:10:57 time: 0.4214 data_time: 0.0406 memory: 4652 grad_norm: 2.8764 loss: 4.3170 loss_cls: 2.8971 loss_bbox: 1.4198 +2024/10/29 14:03:50 - mmengine - INFO - Epoch(train) [34][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:10:34 time: 0.4183 data_time: 0.0387 memory: 4652 grad_norm: 2.7248 loss: 4.5302 loss_cls: 3.0030 loss_bbox: 1.5272 +2024/10/29 14:04:12 - mmengine - INFO - Epoch(train) [34][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:10:13 time: 0.4242 data_time: 0.0395 memory: 4652 grad_norm: 2.8243 loss: 4.2945 loss_cls: 2.9136 loss_bbox: 1.3809 +2024/10/29 14:04:34 - mmengine - INFO - Epoch(train) [34][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:09:53 time: 0.4368 data_time: 0.0498 memory: 4652 grad_norm: 2.6962 loss: 4.3975 loss_cls: 2.9257 loss_bbox: 1.4718 +2024/10/29 14:04:54 - mmengine - INFO - Epoch(train) [34][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:09:31 time: 0.4190 data_time: 0.0395 memory: 4652 grad_norm: 3.0321 loss: 4.3913 loss_cls: 2.9554 loss_bbox: 1.4360 +2024/10/29 14:05:15 - mmengine - INFO - Epoch(train) [34][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:09:09 time: 0.4201 data_time: 0.0396 memory: 4652 grad_norm: 2.6849 loss: 4.3981 loss_cls: 2.9563 loss_bbox: 1.4419 +2024/10/29 14:05:36 - mmengine - INFO - Epoch(train) [34][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:08:45 time: 0.4127 data_time: 0.0471 memory: 4652 grad_norm: 2.8247 loss: 4.3891 loss_cls: 2.9177 loss_bbox: 1.4713 +2024/10/29 14:05:57 - mmengine - INFO - Epoch(train) [34][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:08:24 time: 0.4258 data_time: 0.0441 memory: 4652 grad_norm: 2.7507 loss: 4.2847 loss_cls: 2.8775 loss_bbox: 1.4072 +2024/10/29 14:06:18 - mmengine - INFO - Epoch(train) [34][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:08:02 time: 0.4188 data_time: 0.0465 memory: 4652 grad_norm: 2.7408 loss: 4.4354 loss_cls: 2.9804 loss_bbox: 1.4550 +2024/10/29 14:06:40 - mmengine - INFO - Epoch(train) [34][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:07:40 time: 0.4239 data_time: 0.0489 memory: 4652 grad_norm: 2.9790 loss: 4.4561 loss_cls: 2.9602 loss_bbox: 1.4959 +2024/10/29 14:07:01 - mmengine - INFO - Epoch(train) [34][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:07:18 time: 0.4193 data_time: 0.0472 memory: 4652 grad_norm: 3.1755 loss: 4.3095 loss_cls: 2.8944 loss_bbox: 1.4151 +2024/10/29 14:07:21 - mmengine - INFO - Epoch(train) [34][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:06:55 time: 0.4113 data_time: 0.0395 memory: 4652 grad_norm: 2.8399 loss: 4.3304 loss_cls: 2.8779 loss_bbox: 1.4526 +2024/10/29 14:07:42 - mmengine - INFO - Epoch(train) [34][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:06:33 time: 0.4235 data_time: 0.0406 memory: 4652 grad_norm: 2.6893 loss: 4.4802 loss_cls: 2.9551 loss_bbox: 1.5251 +2024/10/29 14:08:03 - mmengine - INFO - Epoch(train) [34][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:06:10 time: 0.4172 data_time: 0.0407 memory: 4652 grad_norm: 2.6747 loss: 4.3797 loss_cls: 2.9373 loss_bbox: 1.4424 +2024/10/29 14:08:27 - mmengine - INFO - Epoch(train) [34][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:05:56 time: 0.4794 data_time: 0.1005 memory: 4652 grad_norm: 2.7369 loss: 4.4747 loss_cls: 3.0020 loss_bbox: 1.4727 +2024/10/29 14:08:48 - mmengine - INFO - Epoch(train) [34][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:05:35 time: 0.4231 data_time: 0.0473 memory: 4652 grad_norm: 3.0094 loss: 4.3912 loss_cls: 2.9390 loss_bbox: 1.4522 +2024/10/29 14:08:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 14:08:50 - mmengine - INFO - Saving checkpoint at 34 epochs +2024/10/29 14:09:15 - mmengine - INFO - Epoch(train) [35][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:05:09 time: 0.4152 data_time: 0.0540 memory: 4652 grad_norm: 2.6594 loss: 4.3189 loss_cls: 2.8839 loss_bbox: 1.4350 +2024/10/29 14:09:36 - mmengine - INFO - Epoch(train) [35][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:04:47 time: 0.4223 data_time: 0.0398 memory: 4652 grad_norm: 2.8308 loss: 4.4201 loss_cls: 2.9599 loss_bbox: 1.4602 +2024/10/29 14:09:58 - mmengine - INFO - Epoch(train) [35][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:04:26 time: 0.4258 data_time: 0.0386 memory: 4652 grad_norm: 2.7838 loss: 4.3807 loss_cls: 2.9642 loss_bbox: 1.4164 +2024/10/29 14:10:03 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 14:10:19 - mmengine - INFO - Epoch(train) [35][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:04:05 time: 0.4272 data_time: 0.0406 memory: 4652 grad_norm: 2.7157 loss: 4.3959 loss_cls: 2.9153 loss_bbox: 1.4806 +2024/10/29 14:10:40 - mmengine - INFO - Epoch(train) [35][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:03:44 time: 0.4286 data_time: 0.0390 memory: 4652 grad_norm: 2.7215 loss: 4.4048 loss_cls: 2.9680 loss_bbox: 1.4368 +2024/10/29 14:11:01 - mmengine - INFO - Epoch(train) [35][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:03:21 time: 0.4110 data_time: 0.0380 memory: 4652 grad_norm: 2.9999 loss: 4.4043 loss_cls: 2.9540 loss_bbox: 1.4504 +2024/10/29 14:11:22 - mmengine - INFO - Epoch(train) [35][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:02:58 time: 0.4179 data_time: 0.0419 memory: 4652 grad_norm: 2.7397 loss: 4.4104 loss_cls: 2.9517 loss_bbox: 1.4587 +2024/10/29 14:11:44 - mmengine - INFO - Epoch(train) [35][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:02:38 time: 0.4376 data_time: 0.0385 memory: 4652 grad_norm: 2.8069 loss: 4.3654 loss_cls: 2.8922 loss_bbox: 1.4732 +2024/10/29 14:12:05 - mmengine - INFO - Epoch(train) [35][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:02:16 time: 0.4166 data_time: 0.0392 memory: 4652 grad_norm: 2.8929 loss: 4.3397 loss_cls: 2.9261 loss_bbox: 1.4136 +2024/10/29 14:12:27 - mmengine - INFO - Epoch(train) [35][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:01:57 time: 0.4431 data_time: 0.0547 memory: 4652 grad_norm: 2.8237 loss: 4.3649 loss_cls: 2.9180 loss_bbox: 1.4469 +2024/10/29 14:12:48 - mmengine - INFO - Epoch(train) [35][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:01:35 time: 0.4255 data_time: 0.0459 memory: 4652 grad_norm: 2.8461 loss: 4.3008 loss_cls: 2.8738 loss_bbox: 1.4270 +2024/10/29 14:13:09 - mmengine - INFO - Epoch(train) [35][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:01:13 time: 0.4171 data_time: 0.0445 memory: 4652 grad_norm: 2.9230 loss: 4.3452 loss_cls: 2.9073 loss_bbox: 1.4379 +2024/10/29 14:13:31 - mmengine - INFO - Epoch(train) [35][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:00:52 time: 0.4326 data_time: 0.0401 memory: 4652 grad_norm: 2.8067 loss: 4.4350 loss_cls: 2.9469 loss_bbox: 1.4881 +2024/10/29 14:13:52 - mmengine - INFO - Epoch(train) [35][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:00:32 time: 0.4307 data_time: 0.0382 memory: 4652 grad_norm: 2.8282 loss: 4.2695 loss_cls: 2.8673 loss_bbox: 1.4023 +2024/10/29 14:14:14 - mmengine - INFO - Epoch(train) [35][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 7:00:11 time: 0.4316 data_time: 0.0373 memory: 4652 grad_norm: 3.0750 loss: 4.3064 loss_cls: 2.8900 loss_bbox: 1.4164 +2024/10/29 14:14:36 - mmengine - INFO - Epoch(train) [35][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:59:52 time: 0.4398 data_time: 0.0376 memory: 4652 grad_norm: 2.8416 loss: 4.4120 loss_cls: 2.9565 loss_bbox: 1.4555 +2024/10/29 14:14:57 - mmengine - INFO - Epoch(train) [35][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:59:30 time: 0.4217 data_time: 0.0393 memory: 4652 grad_norm: 2.7514 loss: 4.5029 loss_cls: 3.0071 loss_bbox: 1.4958 +2024/10/29 14:15:19 - mmengine - INFO - Epoch(train) [35][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:59:11 time: 0.4456 data_time: 0.0381 memory: 4652 grad_norm: 2.9819 loss: 4.3305 loss_cls: 2.9024 loss_bbox: 1.4280 +2024/10/29 14:15:41 - mmengine - INFO - Epoch(train) [35][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:58:52 time: 0.4402 data_time: 0.0412 memory: 4652 grad_norm: 2.9453 loss: 4.4858 loss_cls: 3.0109 loss_bbox: 1.4749 +2024/10/29 14:16:04 - mmengine - INFO - Epoch(train) [35][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:58:34 time: 0.4527 data_time: 0.0508 memory: 4652 grad_norm: 2.8632 loss: 4.4022 loss_cls: 2.9290 loss_bbox: 1.4731 +2024/10/29 14:16:28 - mmengine - INFO - Epoch(train) [35][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:58:21 time: 0.4907 data_time: 0.0827 memory: 4652 grad_norm: 2.7033 loss: 4.3896 loss_cls: 2.9298 loss_bbox: 1.4598 +2024/10/29 14:16:49 - mmengine - INFO - Epoch(train) [35][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:57:59 time: 0.4233 data_time: 0.0392 memory: 4652 grad_norm: 2.9583 loss: 4.4046 loss_cls: 2.9512 loss_bbox: 1.4535 +2024/10/29 14:17:12 - mmengine - INFO - Epoch(train) [35][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:57:40 time: 0.4447 data_time: 0.0450 memory: 4652 grad_norm: 2.8692 loss: 4.4134 loss_cls: 2.9307 loss_bbox: 1.4828 +2024/10/29 14:17:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 14:17:33 - mmengine - INFO - Epoch(train) [35][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:57:19 time: 0.4241 data_time: 0.0376 memory: 4652 grad_norm: 2.8550 loss: 4.3859 loss_cls: 2.9569 loss_bbox: 1.4290 +2024/10/29 14:17:55 - mmengine - INFO - Epoch(train) [35][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:56:59 time: 0.4371 data_time: 0.0420 memory: 4652 grad_norm: 2.5152 loss: 4.3891 loss_cls: 2.9211 loss_bbox: 1.4679 +2024/10/29 14:18:16 - mmengine - INFO - Epoch(train) [35][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:56:39 time: 0.4346 data_time: 0.0393 memory: 4652 grad_norm: 2.8916 loss: 4.3778 loss_cls: 2.9111 loss_bbox: 1.4667 +2024/10/29 14:18:38 - mmengine - INFO - Epoch(train) [35][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:56:17 time: 0.4254 data_time: 0.0385 memory: 4652 grad_norm: 2.8152 loss: 4.3264 loss_cls: 2.8831 loss_bbox: 1.4434 +2024/10/29 14:19:00 - mmengine - INFO - Epoch(train) [35][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:55:59 time: 0.4504 data_time: 0.0378 memory: 4652 grad_norm: 2.9264 loss: 4.3820 loss_cls: 2.9676 loss_bbox: 1.4145 +2024/10/29 14:19:22 - mmengine - INFO - Epoch(train) [35][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:55:39 time: 0.4325 data_time: 0.0494 memory: 4652 grad_norm: 2.7182 loss: 4.4489 loss_cls: 2.9881 loss_bbox: 1.4608 +2024/10/29 14:19:44 - mmengine - INFO - Epoch(train) [35][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:55:18 time: 0.4322 data_time: 0.0402 memory: 4652 grad_norm: 2.6830 loss: 4.3928 loss_cls: 2.9313 loss_bbox: 1.4615 +2024/10/29 14:20:05 - mmengine - INFO - Epoch(train) [35][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:54:58 time: 0.4369 data_time: 0.0415 memory: 4652 grad_norm: 2.8912 loss: 4.3831 loss_cls: 2.9255 loss_bbox: 1.4576 +2024/10/29 14:20:28 - mmengine - INFO - Epoch(train) [35][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:54:41 time: 0.4542 data_time: 0.0494 memory: 4652 grad_norm: 2.8904 loss: 4.4436 loss_cls: 2.9798 loss_bbox: 1.4638 +2024/10/29 14:20:50 - mmengine - INFO - Epoch(train) [35][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:54:21 time: 0.4364 data_time: 0.0391 memory: 4652 grad_norm: 2.6505 loss: 4.3468 loss_cls: 2.8984 loss_bbox: 1.4485 +2024/10/29 14:21:11 - mmengine - INFO - Epoch(train) [35][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:54:00 time: 0.4298 data_time: 0.0392 memory: 4652 grad_norm: 2.7793 loss: 4.4004 loss_cls: 2.9329 loss_bbox: 1.4675 +2024/10/29 14:21:34 - mmengine - INFO - Epoch(train) [35][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:53:41 time: 0.4457 data_time: 0.0403 memory: 4652 grad_norm: 3.0897 loss: 4.4389 loss_cls: 2.9641 loss_bbox: 1.4747 +2024/10/29 14:21:56 - mmengine - INFO - Epoch(train) [35][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:53:22 time: 0.4452 data_time: 0.0380 memory: 4652 grad_norm: 2.8974 loss: 4.4267 loss_cls: 2.9741 loss_bbox: 1.4527 +2024/10/29 14:22:18 - mmengine - INFO - Epoch(train) [35][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:53:02 time: 0.4360 data_time: 0.0411 memory: 4652 grad_norm: 2.7113 loss: 4.3865 loss_cls: 2.9372 loss_bbox: 1.4493 +2024/10/29 14:22:41 - mmengine - INFO - Epoch(train) [35][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:52:46 time: 0.4656 data_time: 0.0460 memory: 4652 grad_norm: 3.0745 loss: 4.4388 loss_cls: 2.9690 loss_bbox: 1.4697 +2024/10/29 14:23:04 - mmengine - INFO - Epoch(train) [35][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:52:28 time: 0.4520 data_time: 0.0452 memory: 4652 grad_norm: 2.7611 loss: 4.4741 loss_cls: 2.9817 loss_bbox: 1.4924 +2024/10/29 14:23:28 - mmengine - INFO - Epoch(train) [35][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:52:14 time: 0.4816 data_time: 0.0710 memory: 4652 grad_norm: 2.8956 loss: 4.4441 loss_cls: 2.9636 loss_bbox: 1.4805 +2024/10/29 14:23:50 - mmengine - INFO - Epoch(train) [35][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:51:55 time: 0.4451 data_time: 0.0391 memory: 4652 grad_norm: 2.7920 loss: 4.4640 loss_cls: 2.9485 loss_bbox: 1.5155 +2024/10/29 14:24:12 - mmengine - INFO - Epoch(train) [35][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:51:35 time: 0.4383 data_time: 0.0424 memory: 4652 grad_norm: 2.6791 loss: 4.3410 loss_cls: 2.8897 loss_bbox: 1.4513 +2024/10/29 14:24:35 - mmengine - INFO - Epoch(train) [35][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:51:18 time: 0.4619 data_time: 0.0463 memory: 4652 grad_norm: 2.9000 loss: 4.4024 loss_cls: 2.9016 loss_bbox: 1.5009 +2024/10/29 14:24:42 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 14:24:58 - mmengine - INFO - Epoch(train) [35][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:51:01 time: 0.4532 data_time: 0.0388 memory: 4652 grad_norm: 2.8209 loss: 4.4422 loss_cls: 2.9495 loss_bbox: 1.4928 +2024/10/29 14:25:20 - mmengine - INFO - Epoch(train) [35][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:50:42 time: 0.4505 data_time: 0.0449 memory: 4652 grad_norm: 2.8616 loss: 4.3737 loss_cls: 2.9163 loss_bbox: 1.4574 +2024/10/29 14:25:42 - mmengine - INFO - Epoch(train) [35][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:50:23 time: 0.4369 data_time: 0.0393 memory: 4652 grad_norm: 2.8409 loss: 4.5550 loss_cls: 3.0301 loss_bbox: 1.5248 +2024/10/29 14:26:04 - mmengine - INFO - Epoch(train) [35][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:50:03 time: 0.4396 data_time: 0.0383 memory: 4652 grad_norm: 2.8480 loss: 4.4063 loss_cls: 2.9444 loss_bbox: 1.4619 +2024/10/29 14:26:29 - mmengine - INFO - Epoch(train) [35][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:49:51 time: 0.5025 data_time: 0.0852 memory: 4652 grad_norm: 2.8247 loss: 4.5098 loss_cls: 3.0116 loss_bbox: 1.4982 +2024/10/29 14:26:52 - mmengine - INFO - Epoch(train) [35][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:49:33 time: 0.4522 data_time: 0.0454 memory: 4652 grad_norm: 2.8776 loss: 4.3616 loss_cls: 2.9125 loss_bbox: 1.4491 +2024/10/29 14:27:15 - mmengine - INFO - Epoch(train) [35][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:49:17 time: 0.4616 data_time: 0.0440 memory: 4652 grad_norm: 2.9325 loss: 4.5144 loss_cls: 3.0014 loss_bbox: 1.5130 +2024/10/29 14:27:38 - mmengine - INFO - Epoch(train) [35][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:48:59 time: 0.4534 data_time: 0.0381 memory: 4652 grad_norm: 2.8582 loss: 4.4107 loss_cls: 2.9329 loss_bbox: 1.4777 +2024/10/29 14:28:00 - mmengine - INFO - Epoch(train) [35][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:48:39 time: 0.4403 data_time: 0.0374 memory: 4652 grad_norm: 2.7348 loss: 4.3057 loss_cls: 2.8804 loss_bbox: 1.4253 +2024/10/29 14:28:23 - mmengine - INFO - Epoch(train) [35][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:48:22 time: 0.4574 data_time: 0.0376 memory: 4652 grad_norm: 2.7992 loss: 4.3951 loss_cls: 2.9334 loss_bbox: 1.4617 +2024/10/29 14:28:45 - mmengine - INFO - Epoch(train) [35][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:48:04 time: 0.4517 data_time: 0.0384 memory: 4652 grad_norm: 2.8751 loss: 4.4240 loss_cls: 2.9437 loss_bbox: 1.4803 +2024/10/29 14:29:09 - mmengine - INFO - Epoch(train) [35][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:47:49 time: 0.4777 data_time: 0.0469 memory: 4652 grad_norm: 2.9472 loss: 4.3239 loss_cls: 2.8764 loss_bbox: 1.4476 +2024/10/29 14:29:31 - mmengine - INFO - Epoch(train) [35][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:47:30 time: 0.4405 data_time: 0.0375 memory: 4652 grad_norm: 2.6260 loss: 4.3853 loss_cls: 2.9325 loss_bbox: 1.4528 +2024/10/29 14:29:54 - mmengine - INFO - Epoch(train) [35][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:47:12 time: 0.4523 data_time: 0.0383 memory: 4652 grad_norm: 2.9054 loss: 4.3484 loss_cls: 2.8708 loss_bbox: 1.4777 +2024/10/29 14:30:16 - mmengine - INFO - Epoch(train) [35][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:46:54 time: 0.4544 data_time: 0.0384 memory: 4652 grad_norm: 2.9047 loss: 4.4088 loss_cls: 2.9657 loss_bbox: 1.4430 +2024/10/29 14:30:39 - mmengine - INFO - Epoch(train) [35][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:46:35 time: 0.4453 data_time: 0.0417 memory: 4652 grad_norm: 2.8947 loss: 4.3642 loss_cls: 2.9145 loss_bbox: 1.4497 +2024/10/29 14:31:01 - mmengine - INFO - Epoch(train) [35][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:46:16 time: 0.4474 data_time: 0.0378 memory: 4652 grad_norm: 2.7938 loss: 4.4417 loss_cls: 2.9429 loss_bbox: 1.4989 +2024/10/29 14:31:23 - mmengine - INFO - Epoch(train) [35][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:45:56 time: 0.4366 data_time: 0.0429 memory: 4652 grad_norm: 2.7344 loss: 4.4051 loss_cls: 2.9355 loss_bbox: 1.4696 +2024/10/29 14:31:25 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 14:31:25 - mmengine - INFO - Saving checkpoint at 35 epochs +2024/10/29 14:31:33 - mmengine - INFO - Epoch(val) [35][50/79] eta: 0:00:02 time: 0.0747 data_time: 0.0079 memory: 4652 +2024/10/29 14:31:51 - mmengine - INFO - Evaluating bbox... +2024/10/29 14:33:08 - mmengine - INFO - bbox_mAP_copypaste: 0.198 0.349 0.199 0.050 0.236 0.317 +2024/10/29 14:33:09 - mmengine - INFO - Epoch(val) [35][79/79] coco/bbox_mAP: 0.1980 coco/bbox_mAP_50: 0.3490 coco/bbox_mAP_75: 0.1990 coco/bbox_mAP_s: 0.0500 coco/bbox_mAP_m: 0.2360 coco/bbox_mAP_l: 0.3170 data_time: 0.0073 time: 0.0730 +2024/10/29 14:33:31 - mmengine - INFO - Epoch(train) [36][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:45:37 time: 0.4534 data_time: 0.0673 memory: 4652 grad_norm: 2.9164 loss: 4.4184 loss_cls: 2.9487 loss_bbox: 1.4697 +2024/10/29 14:33:52 - mmengine - INFO - Epoch(train) [36][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:45:14 time: 0.4104 data_time: 0.0387 memory: 4652 grad_norm: 2.7388 loss: 4.3427 loss_cls: 2.8827 loss_bbox: 1.4600 +2024/10/29 14:33:56 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 14:34:13 - mmengine - INFO - Epoch(train) [36][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:44:51 time: 0.4164 data_time: 0.0389 memory: 4652 grad_norm: 2.7592 loss: 4.4452 loss_cls: 2.9669 loss_bbox: 1.4783 +2024/10/29 14:34:34 - mmengine - INFO - Epoch(train) [36][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:44:30 time: 0.4335 data_time: 0.0388 memory: 4652 grad_norm: 2.7836 loss: 4.3466 loss_cls: 2.9089 loss_bbox: 1.4377 +2024/10/29 14:34:55 - mmengine - INFO - Epoch(train) [36][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:44:06 time: 0.4060 data_time: 0.0425 memory: 4652 grad_norm: 3.0297 loss: 4.3123 loss_cls: 2.9031 loss_bbox: 1.4092 +2024/10/29 14:35:16 - mmengine - INFO - Epoch(train) [36][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:43:44 time: 0.4169 data_time: 0.0400 memory: 4652 grad_norm: 2.6910 loss: 4.3309 loss_cls: 2.9073 loss_bbox: 1.4236 +2024/10/29 14:35:37 - mmengine - INFO - Epoch(train) [36][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:43:22 time: 0.4235 data_time: 0.0440 memory: 4652 grad_norm: 2.8673 loss: 4.4447 loss_cls: 2.9436 loss_bbox: 1.5010 +2024/10/29 14:35:58 - mmengine - INFO - Epoch(train) [36][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:43:00 time: 0.4223 data_time: 0.0523 memory: 4652 grad_norm: 2.9210 loss: 4.3528 loss_cls: 2.9149 loss_bbox: 1.4380 +2024/10/29 14:36:19 - mmengine - INFO - Epoch(train) [36][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:42:39 time: 0.4297 data_time: 0.0418 memory: 4652 grad_norm: 2.9914 loss: 4.3576 loss_cls: 2.9107 loss_bbox: 1.4469 +2024/10/29 14:36:40 - mmengine - INFO - Epoch(train) [36][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:42:16 time: 0.4138 data_time: 0.0429 memory: 4652 grad_norm: 2.8988 loss: 4.3451 loss_cls: 2.9070 loss_bbox: 1.4381 +2024/10/29 14:37:01 - mmengine - INFO - Epoch(train) [36][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:41:54 time: 0.4224 data_time: 0.0424 memory: 4652 grad_norm: 2.7438 loss: 4.3371 loss_cls: 2.8895 loss_bbox: 1.4476 +2024/10/29 14:37:22 - mmengine - INFO - Epoch(train) [36][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:41:32 time: 0.4182 data_time: 0.0424 memory: 4652 grad_norm: 2.8146 loss: 4.3337 loss_cls: 2.8881 loss_bbox: 1.4456 +2024/10/29 14:37:43 - mmengine - INFO - Epoch(train) [36][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:41:09 time: 0.4119 data_time: 0.0506 memory: 4652 grad_norm: 2.5930 loss: 4.3215 loss_cls: 2.8837 loss_bbox: 1.4378 +2024/10/29 14:38:05 - mmengine - INFO - Epoch(train) [36][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:40:49 time: 0.4386 data_time: 0.0412 memory: 4652 grad_norm: 2.9309 loss: 4.4333 loss_cls: 2.9734 loss_bbox: 1.4599 +2024/10/29 14:38:25 - mmengine - INFO - Epoch(train) [36][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:40:26 time: 0.4154 data_time: 0.0497 memory: 4652 grad_norm: 2.5330 loss: 4.4240 loss_cls: 2.9276 loss_bbox: 1.4964 +2024/10/29 14:38:47 - mmengine - INFO - Epoch(train) [36][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:40:06 time: 0.4323 data_time: 0.0422 memory: 4652 grad_norm: 2.7390 loss: 4.3405 loss_cls: 2.8992 loss_bbox: 1.4414 +2024/10/29 14:39:07 - mmengine - INFO - Epoch(train) [36][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:39:42 time: 0.4067 data_time: 0.0407 memory: 4652 grad_norm: 2.8471 loss: 4.3629 loss_cls: 2.9122 loss_bbox: 1.4507 +2024/10/29 14:39:28 - mmengine - INFO - Epoch(train) [36][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:39:18 time: 0.4114 data_time: 0.0416 memory: 4652 grad_norm: 2.7366 loss: 4.3844 loss_cls: 2.9284 loss_bbox: 1.4560 +2024/10/29 14:39:50 - mmengine - INFO - Epoch(train) [36][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:38:58 time: 0.4359 data_time: 0.0472 memory: 4652 grad_norm: 2.6944 loss: 4.4426 loss_cls: 2.9494 loss_bbox: 1.4932 +2024/10/29 14:40:11 - mmengine - INFO - Epoch(train) [36][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:38:35 time: 0.4133 data_time: 0.0483 memory: 4652 grad_norm: 2.9643 loss: 4.2948 loss_cls: 2.9139 loss_bbox: 1.3810 +2024/10/29 14:40:32 - mmengine - INFO - Epoch(train) [36][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:38:14 time: 0.4292 data_time: 0.0414 memory: 4652 grad_norm: 2.7288 loss: 4.3320 loss_cls: 2.8996 loss_bbox: 1.4324 +2024/10/29 14:40:52 - mmengine - INFO - Epoch(train) [36][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:37:49 time: 0.3979 data_time: 0.0405 memory: 4652 grad_norm: 2.8329 loss: 4.4705 loss_cls: 2.9554 loss_bbox: 1.5152 +2024/10/29 14:40:56 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 14:41:13 - mmengine - INFO - Epoch(train) [36][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:37:27 time: 0.4201 data_time: 0.0415 memory: 4652 grad_norm: 2.7078 loss: 4.3504 loss_cls: 2.8984 loss_bbox: 1.4520 +2024/10/29 14:41:35 - mmengine - INFO - Epoch(train) [36][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:37:07 time: 0.4353 data_time: 0.0415 memory: 4652 grad_norm: 2.8384 loss: 4.3611 loss_cls: 2.9339 loss_bbox: 1.4272 +2024/10/29 14:41:55 - mmengine - INFO - Epoch(train) [36][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:36:44 time: 0.4163 data_time: 0.0500 memory: 4652 grad_norm: 2.7518 loss: 4.3867 loss_cls: 2.9420 loss_bbox: 1.4448 +2024/10/29 14:42:18 - mmengine - INFO - Epoch(train) [36][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:36:25 time: 0.4402 data_time: 0.0402 memory: 4652 grad_norm: 2.8069 loss: 4.3073 loss_cls: 2.8765 loss_bbox: 1.4308 +2024/10/29 14:42:38 - mmengine - INFO - Epoch(train) [36][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:36:02 time: 0.4161 data_time: 0.0463 memory: 4652 grad_norm: 2.7789 loss: 4.4042 loss_cls: 2.9542 loss_bbox: 1.4500 +2024/10/29 14:43:00 - mmengine - INFO - Epoch(train) [36][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:35:41 time: 0.4264 data_time: 0.0366 memory: 4652 grad_norm: 2.9063 loss: 4.4615 loss_cls: 2.9739 loss_bbox: 1.4876 +2024/10/29 14:43:21 - mmengine - INFO - Epoch(train) [36][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:35:20 time: 0.4301 data_time: 0.0357 memory: 4652 grad_norm: 3.0352 loss: 4.4413 loss_cls: 2.9412 loss_bbox: 1.5001 +2024/10/29 14:43:42 - mmengine - INFO - Epoch(train) [36][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:34:57 time: 0.4153 data_time: 0.0458 memory: 4652 grad_norm: 2.8630 loss: 4.3953 loss_cls: 2.9165 loss_bbox: 1.4788 +2024/10/29 14:44:05 - mmengine - INFO - Epoch(train) [36][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:34:39 time: 0.4535 data_time: 0.0426 memory: 4652 grad_norm: 2.6613 loss: 4.3189 loss_cls: 2.8811 loss_bbox: 1.4377 +2024/10/29 14:44:27 - mmengine - INFO - Epoch(train) [36][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:34:21 time: 0.4558 data_time: 0.0857 memory: 4652 grad_norm: 2.7369 loss: 4.3567 loss_cls: 2.9054 loss_bbox: 1.4513 +2024/10/29 14:44:49 - mmengine - INFO - Epoch(train) [36][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:34:01 time: 0.4359 data_time: 0.0394 memory: 4652 grad_norm: 2.9768 loss: 4.3124 loss_cls: 2.8705 loss_bbox: 1.4419 +2024/10/29 14:45:10 - mmengine - INFO - Epoch(train) [36][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:33:38 time: 0.4118 data_time: 0.0385 memory: 4652 grad_norm: 2.5461 loss: 4.3935 loss_cls: 2.9590 loss_bbox: 1.4345 +2024/10/29 14:45:31 - mmengine - INFO - Epoch(train) [36][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:33:16 time: 0.4164 data_time: 0.0435 memory: 4652 grad_norm: 2.8958 loss: 4.4490 loss_cls: 2.9945 loss_bbox: 1.4545 +2024/10/29 14:45:52 - mmengine - INFO - Epoch(train) [36][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:32:55 time: 0.4316 data_time: 0.0426 memory: 4652 grad_norm: 2.7134 loss: 4.3648 loss_cls: 2.9116 loss_bbox: 1.4532 +2024/10/29 14:46:13 - mmengine - INFO - Epoch(train) [36][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:32:32 time: 0.4187 data_time: 0.0419 memory: 4652 grad_norm: 2.8169 loss: 4.3943 loss_cls: 2.9163 loss_bbox: 1.4780 +2024/10/29 14:46:34 - mmengine - INFO - Epoch(train) [36][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:32:10 time: 0.4197 data_time: 0.0467 memory: 4652 grad_norm: 3.0149 loss: 4.4025 loss_cls: 2.9654 loss_bbox: 1.4371 +2024/10/29 14:46:55 - mmengine - INFO - Epoch(train) [36][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:31:48 time: 0.4162 data_time: 0.0405 memory: 4652 grad_norm: 2.8598 loss: 4.4275 loss_cls: 2.9427 loss_bbox: 1.4848 +2024/10/29 14:47:16 - mmengine - INFO - Epoch(train) [36][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:31:26 time: 0.4271 data_time: 0.0381 memory: 4652 grad_norm: 2.6191 loss: 4.3853 loss_cls: 2.9065 loss_bbox: 1.4788 +2024/10/29 14:47:38 - mmengine - INFO - Epoch(train) [36][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:31:05 time: 0.4244 data_time: 0.0408 memory: 4652 grad_norm: 3.0113 loss: 4.3927 loss_cls: 2.9313 loss_bbox: 1.4614 +2024/10/29 14:47:58 - mmengine - INFO - Epoch(train) [36][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:30:41 time: 0.4102 data_time: 0.0454 memory: 4652 grad_norm: 3.0852 loss: 4.4160 loss_cls: 2.9276 loss_bbox: 1.4883 +2024/10/29 14:48:03 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 14:48:20 - mmengine - INFO - Epoch(train) [36][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:30:22 time: 0.4433 data_time: 0.0427 memory: 4652 grad_norm: 2.9095 loss: 4.4554 loss_cls: 2.9773 loss_bbox: 1.4781 +2024/10/29 14:48:41 - mmengine - INFO - Epoch(train) [36][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:30:01 time: 0.4242 data_time: 0.0409 memory: 4652 grad_norm: 2.8672 loss: 4.3620 loss_cls: 2.9244 loss_bbox: 1.4376 +2024/10/29 14:49:03 - mmengine - INFO - Epoch(train) [36][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:29:39 time: 0.4230 data_time: 0.0449 memory: 4652 grad_norm: 2.7170 loss: 4.3194 loss_cls: 2.8641 loss_bbox: 1.4553 +2024/10/29 14:49:27 - mmengine - INFO - Epoch(train) [36][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:29:25 time: 0.4873 data_time: 0.1037 memory: 4652 grad_norm: 3.0251 loss: 4.3891 loss_cls: 2.9407 loss_bbox: 1.4484 +2024/10/29 14:49:48 - mmengine - INFO - Epoch(train) [36][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:29:02 time: 0.4151 data_time: 0.0464 memory: 4652 grad_norm: 2.8271 loss: 4.4077 loss_cls: 2.9185 loss_bbox: 1.4892 +2024/10/29 14:50:09 - mmengine - INFO - Epoch(train) [36][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:28:41 time: 0.4293 data_time: 0.0401 memory: 4652 grad_norm: 2.6540 loss: 4.3828 loss_cls: 2.9428 loss_bbox: 1.4400 +2024/10/29 14:50:30 - mmengine - INFO - Epoch(train) [36][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:28:18 time: 0.4131 data_time: 0.0479 memory: 4652 grad_norm: 2.6931 loss: 4.2779 loss_cls: 2.8669 loss_bbox: 1.4110 +2024/10/29 14:50:51 - mmengine - INFO - Epoch(train) [36][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:27:55 time: 0.4142 data_time: 0.0405 memory: 4652 grad_norm: 2.7800 loss: 4.4109 loss_cls: 2.9419 loss_bbox: 1.4690 +2024/10/29 14:51:11 - mmengine - INFO - Epoch(train) [36][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:27:32 time: 0.4089 data_time: 0.0412 memory: 4652 grad_norm: 2.8270 loss: 4.2736 loss_cls: 2.9030 loss_bbox: 1.3706 +2024/10/29 14:51:31 - mmengine - INFO - Epoch(train) [36][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:27:08 time: 0.4049 data_time: 0.0428 memory: 4652 grad_norm: 2.7097 loss: 4.3933 loss_cls: 2.9580 loss_bbox: 1.4353 +2024/10/29 14:51:52 - mmengine - INFO - Epoch(train) [36][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:26:44 time: 0.4076 data_time: 0.0430 memory: 4652 grad_norm: 2.7983 loss: 4.3186 loss_cls: 2.9046 loss_bbox: 1.4139 +2024/10/29 14:52:11 - mmengine - INFO - Epoch(train) [36][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:26:18 time: 0.3898 data_time: 0.0400 memory: 4652 grad_norm: 2.9254 loss: 4.4243 loss_cls: 2.9385 loss_bbox: 1.4858 +2024/10/29 14:52:32 - mmengine - INFO - Epoch(train) [36][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:25:57 time: 0.4249 data_time: 0.0453 memory: 4652 grad_norm: 2.6923 loss: 4.3900 loss_cls: 2.9464 loss_bbox: 1.4436 +2024/10/29 14:52:53 - mmengine - INFO - Epoch(train) [36][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:25:33 time: 0.4041 data_time: 0.0404 memory: 4652 grad_norm: 2.8574 loss: 4.3686 loss_cls: 2.9348 loss_bbox: 1.4337 +2024/10/29 14:53:13 - mmengine - INFO - Epoch(train) [36][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:25:09 time: 0.4112 data_time: 0.0458 memory: 4652 grad_norm: 2.8639 loss: 4.3420 loss_cls: 2.9057 loss_bbox: 1.4363 +2024/10/29 14:53:34 - mmengine - INFO - Epoch(train) [36][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:24:46 time: 0.4090 data_time: 0.0391 memory: 4652 grad_norm: 2.8482 loss: 4.4034 loss_cls: 2.9155 loss_bbox: 1.4879 +2024/10/29 14:53:53 - mmengine - INFO - Epoch(train) [36][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:24:20 time: 0.3914 data_time: 0.0415 memory: 4652 grad_norm: 2.8631 loss: 4.2881 loss_cls: 2.8680 loss_bbox: 1.4201 +2024/10/29 14:54:14 - mmengine - INFO - Epoch(train) [36][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:23:58 time: 0.4171 data_time: 0.0499 memory: 4652 grad_norm: 2.7293 loss: 4.3553 loss_cls: 2.8959 loss_bbox: 1.4594 +2024/10/29 14:54:35 - mmengine - INFO - Epoch(train) [36][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:23:34 time: 0.4072 data_time: 0.0390 memory: 4652 grad_norm: 2.8650 loss: 4.3309 loss_cls: 2.8833 loss_bbox: 1.4476 +2024/10/29 14:54:36 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 14:54:36 - mmengine - INFO - Saving checkpoint at 36 epochs +2024/10/29 14:55:03 - mmengine - INFO - Epoch(train) [37][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:23:14 time: 0.4549 data_time: 0.0603 memory: 4652 grad_norm: 2.8633 loss: 4.3494 loss_cls: 2.8898 loss_bbox: 1.4596 +2024/10/29 14:55:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 14:55:27 - mmengine - INFO - Epoch(train) [37][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:22:58 time: 0.4745 data_time: 0.0887 memory: 4652 grad_norm: 2.8909 loss: 4.3688 loss_cls: 2.9188 loss_bbox: 1.4500 +2024/10/29 14:55:47 - mmengine - INFO - Epoch(train) [37][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:22:35 time: 0.4131 data_time: 0.0367 memory: 4652 grad_norm: 2.7159 loss: 4.3493 loss_cls: 2.8929 loss_bbox: 1.4563 +2024/10/29 14:56:09 - mmengine - INFO - Epoch(train) [37][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:22:14 time: 0.4266 data_time: 0.0388 memory: 4652 grad_norm: 2.7914 loss: 4.2948 loss_cls: 2.9008 loss_bbox: 1.3940 +2024/10/29 14:56:30 - mmengine - INFO - Epoch(train) [37][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:21:52 time: 0.4182 data_time: 0.0390 memory: 4652 grad_norm: 2.8856 loss: 4.3282 loss_cls: 2.9140 loss_bbox: 1.4142 +2024/10/29 14:56:51 - mmengine - INFO - Epoch(train) [37][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:21:30 time: 0.4279 data_time: 0.0452 memory: 4652 grad_norm: 3.1022 loss: 4.3916 loss_cls: 2.9435 loss_bbox: 1.4480 +2024/10/29 14:57:13 - mmengine - INFO - Epoch(train) [37][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:21:11 time: 0.4422 data_time: 0.0444 memory: 4652 grad_norm: 2.8737 loss: 4.2340 loss_cls: 2.8302 loss_bbox: 1.4038 +2024/10/29 14:57:35 - mmengine - INFO - Epoch(train) [37][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:20:50 time: 0.4280 data_time: 0.0400 memory: 4652 grad_norm: 2.6693 loss: 4.3324 loss_cls: 2.9109 loss_bbox: 1.4215 +2024/10/29 14:57:57 - mmengine - INFO - Epoch(train) [37][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:20:31 time: 0.4432 data_time: 0.0407 memory: 4652 grad_norm: 2.7949 loss: 4.4164 loss_cls: 2.9449 loss_bbox: 1.4714 +2024/10/29 14:58:17 - mmengine - INFO - Epoch(train) [37][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:20:08 time: 0.4121 data_time: 0.0391 memory: 4652 grad_norm: 2.9605 loss: 4.3592 loss_cls: 2.9046 loss_bbox: 1.4546 +2024/10/29 14:58:39 - mmengine - INFO - Epoch(train) [37][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:19:47 time: 0.4363 data_time: 0.0487 memory: 4652 grad_norm: 2.9760 loss: 4.4370 loss_cls: 2.9577 loss_bbox: 1.4793 +2024/10/29 14:59:01 - mmengine - INFO - Epoch(train) [37][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:19:26 time: 0.4295 data_time: 0.0400 memory: 4652 grad_norm: 3.2602 loss: 4.4478 loss_cls: 2.9729 loss_bbox: 1.4748 +2024/10/29 14:59:22 - mmengine - INFO - Epoch(train) [37][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:19:06 time: 0.4305 data_time: 0.0424 memory: 4652 grad_norm: 2.6416 loss: 4.3647 loss_cls: 2.9042 loss_bbox: 1.4605 +2024/10/29 14:59:45 - mmengine - INFO - Epoch(train) [37][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:18:47 time: 0.4477 data_time: 0.0400 memory: 4652 grad_norm: 2.8892 loss: 4.2842 loss_cls: 2.9026 loss_bbox: 1.3816 +2024/10/29 15:00:05 - mmengine - INFO - Epoch(train) [37][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:18:23 time: 0.4042 data_time: 0.0399 memory: 4652 grad_norm: 2.8202 loss: 4.4352 loss_cls: 2.9327 loss_bbox: 1.5024 +2024/10/29 15:00:28 - mmengine - INFO - Epoch(train) [37][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:18:06 time: 0.4667 data_time: 0.0698 memory: 4652 grad_norm: 2.7281 loss: 4.3292 loss_cls: 2.9104 loss_bbox: 1.4188 +2024/10/29 15:00:49 - mmengine - INFO - Epoch(train) [37][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:17:44 time: 0.4140 data_time: 0.0404 memory: 4652 grad_norm: 2.7847 loss: 4.3964 loss_cls: 2.9364 loss_bbox: 1.4599 +2024/10/29 15:01:10 - mmengine - INFO - Epoch(train) [37][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:17:21 time: 0.4146 data_time: 0.0410 memory: 4652 grad_norm: 2.8237 loss: 4.3762 loss_cls: 2.9552 loss_bbox: 1.4210 +2024/10/29 15:01:32 - mmengine - INFO - Epoch(train) [37][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:17:01 time: 0.4387 data_time: 0.0449 memory: 4652 grad_norm: 2.6807 loss: 4.2762 loss_cls: 2.8593 loss_bbox: 1.4170 +2024/10/29 15:01:52 - mmengine - INFO - Epoch(train) [37][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:16:38 time: 0.4109 data_time: 0.0382 memory: 4652 grad_norm: 3.1196 loss: 4.3216 loss_cls: 2.8823 loss_bbox: 1.4393 +2024/10/29 15:02:14 - mmengine - INFO - Epoch(train) [37][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:16:18 time: 0.4385 data_time: 0.0445 memory: 4652 grad_norm: 2.9013 loss: 4.2988 loss_cls: 2.8886 loss_bbox: 1.4101 +2024/10/29 15:02:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 15:02:35 - mmengine - INFO - Epoch(train) [37][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:15:56 time: 0.4230 data_time: 0.0391 memory: 4652 grad_norm: 2.8065 loss: 4.4728 loss_cls: 2.9818 loss_bbox: 1.4910 +2024/10/29 15:02:57 - mmengine - INFO - Epoch(train) [37][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:15:35 time: 0.4297 data_time: 0.0502 memory: 4652 grad_norm: 2.7561 loss: 4.3582 loss_cls: 2.8942 loss_bbox: 1.4640 +2024/10/29 15:03:18 - mmengine - INFO - Epoch(train) [37][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:15:15 time: 0.4349 data_time: 0.0424 memory: 4652 grad_norm: 2.8290 loss: 4.4358 loss_cls: 2.9880 loss_bbox: 1.4479 +2024/10/29 15:03:40 - mmengine - INFO - Epoch(train) [37][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:14:53 time: 0.4242 data_time: 0.0423 memory: 4652 grad_norm: 2.6833 loss: 4.3841 loss_cls: 2.9222 loss_bbox: 1.4619 +2024/10/29 15:04:01 - mmengine - INFO - Epoch(train) [37][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:14:32 time: 0.4284 data_time: 0.0382 memory: 4652 grad_norm: 2.9020 loss: 4.4296 loss_cls: 2.9321 loss_bbox: 1.4975 +2024/10/29 15:04:23 - mmengine - INFO - Epoch(train) [37][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:14:11 time: 0.4322 data_time: 0.0438 memory: 4652 grad_norm: 2.7515 loss: 4.5328 loss_cls: 2.9983 loss_bbox: 1.5345 +2024/10/29 15:04:44 - mmengine - INFO - Epoch(train) [37][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:13:49 time: 0.4210 data_time: 0.0491 memory: 4652 grad_norm: 2.8922 loss: 4.4065 loss_cls: 2.9296 loss_bbox: 1.4769 +2024/10/29 15:05:05 - mmengine - INFO - Epoch(train) [37][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:13:28 time: 0.4249 data_time: 0.0382 memory: 4652 grad_norm: 2.7248 loss: 4.3607 loss_cls: 2.9238 loss_bbox: 1.4369 +2024/10/29 15:05:27 - mmengine - INFO - Epoch(train) [37][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:13:08 time: 0.4359 data_time: 0.0601 memory: 4652 grad_norm: 2.8884 loss: 4.3603 loss_cls: 2.9170 loss_bbox: 1.4433 +2024/10/29 15:05:48 - mmengine - INFO - Epoch(train) [37][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:12:47 time: 0.4299 data_time: 0.0499 memory: 4652 grad_norm: 3.0914 loss: 4.3975 loss_cls: 2.9265 loss_bbox: 1.4710 +2024/10/29 15:06:10 - mmengine - INFO - Epoch(train) [37][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:12:26 time: 0.4273 data_time: 0.0404 memory: 4652 grad_norm: 2.7432 loss: 4.3885 loss_cls: 2.9037 loss_bbox: 1.4848 +2024/10/29 15:06:31 - mmengine - INFO - Epoch(train) [37][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:12:04 time: 0.4221 data_time: 0.0461 memory: 4652 grad_norm: 2.8404 loss: 4.3241 loss_cls: 2.8725 loss_bbox: 1.4516 +2024/10/29 15:06:52 - mmengine - INFO - Epoch(train) [37][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:11:42 time: 0.4225 data_time: 0.0423 memory: 4652 grad_norm: 2.7108 loss: 4.3711 loss_cls: 2.9303 loss_bbox: 1.4408 +2024/10/29 15:07:13 - mmengine - INFO - Epoch(train) [37][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:11:19 time: 0.4159 data_time: 0.0387 memory: 4652 grad_norm: 2.6951 loss: 4.3631 loss_cls: 2.8935 loss_bbox: 1.4695 +2024/10/29 15:07:34 - mmengine - INFO - Epoch(train) [37][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:10:56 time: 0.4146 data_time: 0.0438 memory: 4652 grad_norm: 2.8440 loss: 4.5127 loss_cls: 2.9857 loss_bbox: 1.5270 +2024/10/29 15:07:55 - mmengine - INFO - Epoch(train) [37][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:10:36 time: 0.4343 data_time: 0.0453 memory: 4652 grad_norm: 2.8391 loss: 4.3318 loss_cls: 2.8991 loss_bbox: 1.4327 +2024/10/29 15:08:17 - mmengine - INFO - Epoch(train) [37][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:10:16 time: 0.4365 data_time: 0.0506 memory: 4652 grad_norm: 2.8653 loss: 4.3743 loss_cls: 2.9129 loss_bbox: 1.4614 +2024/10/29 15:08:38 - mmengine - INFO - Epoch(train) [37][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:09:54 time: 0.4183 data_time: 0.0438 memory: 4652 grad_norm: 2.7405 loss: 4.4080 loss_cls: 2.9534 loss_bbox: 1.4546 +2024/10/29 15:08:59 - mmengine - INFO - Epoch(train) [37][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:09:32 time: 0.4223 data_time: 0.0363 memory: 4652 grad_norm: 2.7410 loss: 4.3709 loss_cls: 2.9118 loss_bbox: 1.4591 +2024/10/29 15:09:21 - mmengine - INFO - Epoch(train) [37][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:09:12 time: 0.4379 data_time: 0.0422 memory: 4652 grad_norm: 2.7212 loss: 4.3530 loss_cls: 2.9198 loss_bbox: 1.4332 +2024/10/29 15:09:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 15:09:42 - mmengine - INFO - Epoch(train) [37][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:08:51 time: 0.4294 data_time: 0.0377 memory: 4652 grad_norm: 2.6575 loss: 4.3576 loss_cls: 2.9172 loss_bbox: 1.4404 +2024/10/29 15:10:04 - mmengine - INFO - Epoch(train) [37][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:08:29 time: 0.4228 data_time: 0.0399 memory: 4652 grad_norm: 2.8790 loss: 4.4836 loss_cls: 2.9838 loss_bbox: 1.4998 +2024/10/29 15:10:27 - mmengine - INFO - Epoch(train) [37][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:08:13 time: 0.4689 data_time: 0.0814 memory: 4652 grad_norm: 3.1320 loss: 4.2954 loss_cls: 2.8688 loss_bbox: 1.4267 +2024/10/29 15:10:49 - mmengine - INFO - Epoch(train) [37][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:07:52 time: 0.4297 data_time: 0.0378 memory: 4652 grad_norm: 2.5775 loss: 4.3811 loss_cls: 2.9560 loss_bbox: 1.4251 +2024/10/29 15:11:10 - mmengine - INFO - Epoch(train) [37][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:07:30 time: 0.4248 data_time: 0.0360 memory: 4652 grad_norm: 2.9582 loss: 4.4005 loss_cls: 2.9552 loss_bbox: 1.4453 +2024/10/29 15:11:32 - mmengine - INFO - Epoch(train) [37][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:07:10 time: 0.4331 data_time: 0.0355 memory: 4652 grad_norm: 2.7244 loss: 4.4037 loss_cls: 2.9427 loss_bbox: 1.4610 +2024/10/29 15:11:53 - mmengine - INFO - Epoch(train) [37][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:06:48 time: 0.4233 data_time: 0.0352 memory: 4652 grad_norm: 2.6799 loss: 4.3734 loss_cls: 2.9249 loss_bbox: 1.4485 +2024/10/29 15:12:14 - mmengine - INFO - Epoch(train) [37][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:06:27 time: 0.4276 data_time: 0.0405 memory: 4652 grad_norm: 2.6484 loss: 4.3152 loss_cls: 2.8815 loss_bbox: 1.4337 +2024/10/29 15:12:36 - mmengine - INFO - Epoch(train) [37][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:06:06 time: 0.4349 data_time: 0.0385 memory: 4652 grad_norm: 2.9960 loss: 4.3919 loss_cls: 2.9539 loss_bbox: 1.4380 +2024/10/29 15:12:57 - mmengine - INFO - Epoch(train) [37][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:05:45 time: 0.4252 data_time: 0.0412 memory: 4652 grad_norm: 2.7681 loss: 4.4817 loss_cls: 3.0108 loss_bbox: 1.4710 +2024/10/29 15:13:18 - mmengine - INFO - Epoch(train) [37][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:05:23 time: 0.4235 data_time: 0.0437 memory: 4652 grad_norm: 3.0528 loss: 4.2976 loss_cls: 2.8983 loss_bbox: 1.3993 +2024/10/29 15:13:40 - mmengine - INFO - Epoch(train) [37][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:05:03 time: 0.4349 data_time: 0.0460 memory: 4652 grad_norm: 2.8115 loss: 4.4337 loss_cls: 2.9720 loss_bbox: 1.4617 +2024/10/29 15:14:01 - mmengine - INFO - Epoch(train) [37][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:04:42 time: 0.4280 data_time: 0.0387 memory: 4652 grad_norm: 2.7400 loss: 4.3660 loss_cls: 2.9132 loss_bbox: 1.4529 +2024/10/29 15:14:23 - mmengine - INFO - Epoch(train) [37][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:04:22 time: 0.4359 data_time: 0.0456 memory: 4652 grad_norm: 2.7393 loss: 4.3199 loss_cls: 2.9003 loss_bbox: 1.4195 +2024/10/29 15:14:44 - mmengine - INFO - Epoch(train) [37][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:03:59 time: 0.4183 data_time: 0.0414 memory: 4652 grad_norm: 2.7980 loss: 4.4031 loss_cls: 2.9366 loss_bbox: 1.4666 +2024/10/29 15:15:06 - mmengine - INFO - Epoch(train) [37][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:03:38 time: 0.4272 data_time: 0.0366 memory: 4652 grad_norm: 2.8793 loss: 4.3261 loss_cls: 2.8838 loss_bbox: 1.4422 +2024/10/29 15:15:27 - mmengine - INFO - Epoch(train) [37][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:03:17 time: 0.4289 data_time: 0.0445 memory: 4652 grad_norm: 2.7437 loss: 4.4308 loss_cls: 2.9582 loss_bbox: 1.4727 +2024/10/29 15:15:48 - mmengine - INFO - Epoch(train) [37][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:02:55 time: 0.4181 data_time: 0.0359 memory: 4652 grad_norm: 2.9147 loss: 4.3814 loss_cls: 2.8965 loss_bbox: 1.4849 +2024/10/29 15:16:10 - mmengine - INFO - Epoch(train) [37][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:02:35 time: 0.4385 data_time: 0.0438 memory: 4652 grad_norm: 2.7554 loss: 4.2743 loss_cls: 2.8510 loss_bbox: 1.4233 +2024/10/29 15:16:31 - mmengine - INFO - Epoch(train) [37][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:02:13 time: 0.4262 data_time: 0.0414 memory: 4652 grad_norm: 2.8891 loss: 4.4481 loss_cls: 2.9348 loss_bbox: 1.5133 +2024/10/29 15:16:33 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 15:16:33 - mmengine - INFO - Saving checkpoint at 37 epochs +2024/10/29 15:16:40 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 15:17:00 - mmengine - INFO - Epoch(train) [38][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:01:53 time: 0.4525 data_time: 0.0553 memory: 4652 grad_norm: 2.8358 loss: 4.4117 loss_cls: 2.9593 loss_bbox: 1.4524 +2024/10/29 15:17:21 - mmengine - INFO - Epoch(train) [38][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:01:30 time: 0.4180 data_time: 0.0376 memory: 4652 grad_norm: 2.8252 loss: 4.3262 loss_cls: 2.8981 loss_bbox: 1.4282 +2024/10/29 15:17:43 - mmengine - INFO - Epoch(train) [38][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:01:09 time: 0.4240 data_time: 0.0403 memory: 4652 grad_norm: 2.7818 loss: 4.2925 loss_cls: 2.8967 loss_bbox: 1.3957 +2024/10/29 15:18:04 - mmengine - INFO - Epoch(train) [38][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:00:48 time: 0.4279 data_time: 0.0464 memory: 4652 grad_norm: 3.0377 loss: 4.3356 loss_cls: 2.9061 loss_bbox: 1.4294 +2024/10/29 15:18:26 - mmengine - INFO - Epoch(train) [38][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:00:28 time: 0.4426 data_time: 0.0585 memory: 4652 grad_norm: 2.7212 loss: 4.3868 loss_cls: 2.9130 loss_bbox: 1.4738 +2024/10/29 15:18:47 - mmengine - INFO - Epoch(train) [38][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:00:07 time: 0.4251 data_time: 0.0387 memory: 4652 grad_norm: 2.8107 loss: 4.4809 loss_cls: 3.0014 loss_bbox: 1.4795 +2024/10/29 15:19:09 - mmengine - INFO - Epoch(train) [38][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:59:45 time: 0.4258 data_time: 0.0427 memory: 4652 grad_norm: 2.8502 loss: 4.2521 loss_cls: 2.8514 loss_bbox: 1.4007 +2024/10/29 15:19:30 - mmengine - INFO - Epoch(train) [38][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:59:25 time: 0.4362 data_time: 0.0417 memory: 4652 grad_norm: 2.6536 loss: 4.3525 loss_cls: 2.9181 loss_bbox: 1.4344 +2024/10/29 15:19:52 - mmengine - INFO - Epoch(train) [38][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:59:03 time: 0.4229 data_time: 0.0392 memory: 4652 grad_norm: 2.7179 loss: 4.4447 loss_cls: 2.9599 loss_bbox: 1.4848 +2024/10/29 15:20:13 - mmengine - INFO - Epoch(train) [38][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:58:41 time: 0.4207 data_time: 0.0518 memory: 4652 grad_norm: 2.8805 loss: 4.2501 loss_cls: 2.8467 loss_bbox: 1.4034 +2024/10/29 15:20:34 - mmengine - INFO - Epoch(train) [38][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:58:21 time: 0.4363 data_time: 0.0454 memory: 4652 grad_norm: 2.8493 loss: 4.4229 loss_cls: 2.9425 loss_bbox: 1.4804 +2024/10/29 15:20:55 - mmengine - INFO - Epoch(train) [38][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:57:59 time: 0.4165 data_time: 0.0418 memory: 4652 grad_norm: 3.0191 loss: 4.3594 loss_cls: 2.9138 loss_bbox: 1.4456 +2024/10/29 15:21:17 - mmengine - INFO - Epoch(train) [38][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:57:39 time: 0.4401 data_time: 0.0509 memory: 4652 grad_norm: 2.8502 loss: 4.4691 loss_cls: 2.9890 loss_bbox: 1.4801 +2024/10/29 15:21:38 - mmengine - INFO - Epoch(train) [38][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:57:16 time: 0.4117 data_time: 0.0400 memory: 4652 grad_norm: 2.8620 loss: 4.2790 loss_cls: 2.8361 loss_bbox: 1.4429 +2024/10/29 15:22:00 - mmengine - INFO - Epoch(train) [38][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:56:55 time: 0.4343 data_time: 0.0520 memory: 4652 grad_norm: 2.8048 loss: 4.3982 loss_cls: 2.9348 loss_bbox: 1.4634 +2024/10/29 15:22:21 - mmengine - INFO - Epoch(train) [38][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:56:34 time: 0.4299 data_time: 0.0439 memory: 4652 grad_norm: 3.0124 loss: 4.3828 loss_cls: 2.9370 loss_bbox: 1.4458 +2024/10/29 15:22:42 - mmengine - INFO - Epoch(train) [38][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:56:12 time: 0.4168 data_time: 0.0417 memory: 4652 grad_norm: 2.8148 loss: 4.3524 loss_cls: 2.9009 loss_bbox: 1.4515 +2024/10/29 15:23:04 - mmengine - INFO - Epoch(train) [38][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:55:52 time: 0.4424 data_time: 0.0469 memory: 4652 grad_norm: 2.8150 loss: 4.4105 loss_cls: 2.9172 loss_bbox: 1.4933 +2024/10/29 15:23:27 - mmengine - INFO - Epoch(train) [38][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:55:34 time: 0.4484 data_time: 0.0608 memory: 4652 grad_norm: 2.8892 loss: 4.4425 loss_cls: 2.9267 loss_bbox: 1.5158 +2024/10/29 15:23:48 - mmengine - INFO - Epoch(train) [38][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:55:14 time: 0.4370 data_time: 0.0467 memory: 4652 grad_norm: 2.8000 loss: 4.3939 loss_cls: 2.9181 loss_bbox: 1.4757 +2024/10/29 15:23:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 15:24:11 - mmengine - INFO - Epoch(train) [38][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:54:55 time: 0.4470 data_time: 0.0487 memory: 4652 grad_norm: 2.7897 loss: 4.4040 loss_cls: 2.9186 loss_bbox: 1.4854 +2024/10/29 15:24:33 - mmengine - INFO - Epoch(train) [38][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:54:34 time: 0.4356 data_time: 0.0401 memory: 4652 grad_norm: 2.7355 loss: 4.3699 loss_cls: 2.8926 loss_bbox: 1.4773 +2024/10/29 15:24:55 - mmengine - INFO - Epoch(train) [38][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:54:14 time: 0.4390 data_time: 0.0392 memory: 4652 grad_norm: 2.6251 loss: 4.3215 loss_cls: 2.8943 loss_bbox: 1.4272 +2024/10/29 15:25:15 - mmengine - INFO - Epoch(train) [38][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:53:52 time: 0.4177 data_time: 0.0405 memory: 4652 grad_norm: 2.9210 loss: 4.3468 loss_cls: 2.9057 loss_bbox: 1.4411 +2024/10/29 15:25:38 - mmengine - INFO - Epoch(train) [38][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:53:33 time: 0.4486 data_time: 0.0515 memory: 4652 grad_norm: 2.9147 loss: 4.4110 loss_cls: 2.9403 loss_bbox: 1.4707 +2024/10/29 15:25:59 - mmengine - INFO - Epoch(train) [38][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:53:12 time: 0.4279 data_time: 0.0389 memory: 4652 grad_norm: 2.8775 loss: 4.3314 loss_cls: 2.9025 loss_bbox: 1.4289 +2024/10/29 15:26:22 - mmengine - INFO - Epoch(train) [38][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:52:53 time: 0.4446 data_time: 0.0402 memory: 4652 grad_norm: 2.7197 loss: 4.4069 loss_cls: 2.9544 loss_bbox: 1.4525 +2024/10/29 15:26:44 - mmengine - INFO - Epoch(train) [38][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:52:33 time: 0.4437 data_time: 0.0429 memory: 4652 grad_norm: 2.9202 loss: 4.3438 loss_cls: 2.9260 loss_bbox: 1.4178 +2024/10/29 15:27:06 - mmengine - INFO - Epoch(train) [38][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:52:14 time: 0.4437 data_time: 0.0636 memory: 4652 grad_norm: 2.7816 loss: 4.4258 loss_cls: 2.9389 loss_bbox: 1.4869 +2024/10/29 15:27:28 - mmengine - INFO - Epoch(train) [38][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:51:55 time: 0.4457 data_time: 0.0469 memory: 4652 grad_norm: 2.9831 loss: 4.4599 loss_cls: 2.9511 loss_bbox: 1.5088 +2024/10/29 15:27:50 - mmengine - INFO - Epoch(train) [38][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:51:35 time: 0.4388 data_time: 0.0414 memory: 4652 grad_norm: 2.9036 loss: 4.3721 loss_cls: 2.9029 loss_bbox: 1.4693 +2024/10/29 15:28:12 - mmengine - INFO - Epoch(train) [38][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:51:16 time: 0.4436 data_time: 0.0445 memory: 4652 grad_norm: 2.6831 loss: 4.3706 loss_cls: 2.9530 loss_bbox: 1.4176 +2024/10/29 15:28:34 - mmengine - INFO - Epoch(train) [38][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:50:56 time: 0.4414 data_time: 0.0425 memory: 4652 grad_norm: 2.8869 loss: 4.3880 loss_cls: 2.9212 loss_bbox: 1.4668 +2024/10/29 15:28:55 - mmengine - INFO - Epoch(train) [38][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:50:34 time: 0.4188 data_time: 0.0390 memory: 4652 grad_norm: 2.7869 loss: 4.4262 loss_cls: 2.9520 loss_bbox: 1.4742 +2024/10/29 15:29:18 - mmengine - INFO - Epoch(train) [38][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:50:15 time: 0.4453 data_time: 0.0390 memory: 4652 grad_norm: 2.8817 loss: 4.3493 loss_cls: 2.9211 loss_bbox: 1.4282 +2024/10/29 15:29:39 - mmengine - INFO - Epoch(train) [38][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:49:54 time: 0.4333 data_time: 0.0401 memory: 4652 grad_norm: 3.0345 loss: 4.3485 loss_cls: 2.8804 loss_bbox: 1.4681 +2024/10/29 15:30:01 - mmengine - INFO - Epoch(train) [38][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:49:34 time: 0.4411 data_time: 0.0411 memory: 4652 grad_norm: 2.6817 loss: 4.3262 loss_cls: 2.8872 loss_bbox: 1.4390 +2024/10/29 15:30:28 - mmengine - INFO - Epoch(train) [38][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:49:25 time: 0.5342 data_time: 0.1257 memory: 4652 grad_norm: 2.8257 loss: 4.4265 loss_cls: 2.9458 loss_bbox: 1.4807 +2024/10/29 15:30:51 - mmengine - INFO - Epoch(train) [38][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:49:07 time: 0.4485 data_time: 0.0479 memory: 4652 grad_norm: 3.0000 loss: 4.3598 loss_cls: 2.9004 loss_bbox: 1.4594 +2024/10/29 15:31:13 - mmengine - INFO - Epoch(train) [38][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:48:47 time: 0.4397 data_time: 0.0395 memory: 4652 grad_norm: 2.8903 loss: 4.3708 loss_cls: 2.9210 loss_bbox: 1.4498 +2024/10/29 15:31:14 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 15:31:34 - mmengine - INFO - Epoch(train) [38][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:48:26 time: 0.4339 data_time: 0.0471 memory: 4652 grad_norm: 2.8672 loss: 4.4073 loss_cls: 2.9384 loss_bbox: 1.4689 +2024/10/29 15:31:57 - mmengine - INFO - Epoch(train) [38][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:48:07 time: 0.4488 data_time: 0.0395 memory: 4652 grad_norm: 2.8647 loss: 4.3534 loss_cls: 2.9357 loss_bbox: 1.4177 +2024/10/29 15:32:19 - mmengine - INFO - Epoch(train) [38][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:47:49 time: 0.4498 data_time: 0.0477 memory: 4652 grad_norm: 2.8078 loss: 4.3861 loss_cls: 2.9317 loss_bbox: 1.4544 +2024/10/29 15:32:41 - mmengine - INFO - Epoch(train) [38][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:47:29 time: 0.4411 data_time: 0.0409 memory: 4652 grad_norm: 2.7835 loss: 4.5316 loss_cls: 2.9840 loss_bbox: 1.5476 +2024/10/29 15:33:04 - mmengine - INFO - Epoch(train) [38][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:47:10 time: 0.4464 data_time: 0.0395 memory: 4652 grad_norm: 2.8575 loss: 4.3203 loss_cls: 2.8957 loss_bbox: 1.4245 +2024/10/29 15:33:27 - mmengine - INFO - Epoch(train) [38][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:46:53 time: 0.4675 data_time: 0.0673 memory: 4652 grad_norm: 2.7456 loss: 4.3949 loss_cls: 2.9572 loss_bbox: 1.4377 +2024/10/29 15:33:50 - mmengine - INFO - Epoch(train) [38][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:46:35 time: 0.4548 data_time: 0.0399 memory: 4652 grad_norm: 2.7563 loss: 4.3258 loss_cls: 2.8887 loss_bbox: 1.4371 +2024/10/29 15:34:12 - mmengine - INFO - Epoch(train) [38][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:46:17 time: 0.4557 data_time: 0.0409 memory: 4652 grad_norm: 2.6558 loss: 4.3699 loss_cls: 2.9532 loss_bbox: 1.4167 +2024/10/29 15:34:36 - mmengine - INFO - Epoch(train) [38][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:46:01 time: 0.4717 data_time: 0.0560 memory: 4652 grad_norm: 2.9194 loss: 4.4517 loss_cls: 2.9821 loss_bbox: 1.4696 +2024/10/29 15:34:59 - mmengine - INFO - Epoch(train) [38][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:45:44 time: 0.4628 data_time: 0.0471 memory: 4652 grad_norm: 2.8793 loss: 4.3036 loss_cls: 2.8710 loss_bbox: 1.4327 +2024/10/29 15:35:22 - mmengine - INFO - Epoch(train) [38][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:45:25 time: 0.4470 data_time: 0.0395 memory: 4652 grad_norm: 2.7259 loss: 4.3772 loss_cls: 2.9150 loss_bbox: 1.4622 +2024/10/29 15:35:44 - mmengine - INFO - Epoch(train) [38][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:45:06 time: 0.4520 data_time: 0.0429 memory: 4652 grad_norm: 2.8995 loss: 4.3448 loss_cls: 2.8977 loss_bbox: 1.4472 +2024/10/29 15:36:07 - mmengine - INFO - Epoch(train) [38][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:44:47 time: 0.4467 data_time: 0.0397 memory: 4652 grad_norm: 2.6654 loss: 4.2265 loss_cls: 2.8519 loss_bbox: 1.3746 +2024/10/29 15:36:29 - mmengine - INFO - Epoch(train) [38][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:44:29 time: 0.4582 data_time: 0.0392 memory: 4652 grad_norm: 2.8104 loss: 4.3558 loss_cls: 2.9124 loss_bbox: 1.4434 +2024/10/29 15:36:53 - mmengine - INFO - Epoch(train) [38][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:44:13 time: 0.4662 data_time: 0.0652 memory: 4652 grad_norm: 2.7498 loss: 4.4041 loss_cls: 2.9510 loss_bbox: 1.4531 +2024/10/29 15:37:15 - mmengine - INFO - Epoch(train) [38][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:43:54 time: 0.4523 data_time: 0.0523 memory: 4652 grad_norm: 2.7358 loss: 4.4335 loss_cls: 2.9170 loss_bbox: 1.5165 +2024/10/29 15:37:38 - mmengine - INFO - Epoch(train) [38][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:43:35 time: 0.4428 data_time: 0.0400 memory: 4652 grad_norm: 2.7674 loss: 4.3974 loss_cls: 2.9536 loss_bbox: 1.4438 +2024/10/29 15:38:00 - mmengine - INFO - Epoch(train) [38][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:43:15 time: 0.4421 data_time: 0.0444 memory: 4652 grad_norm: 3.0180 loss: 4.3506 loss_cls: 2.9090 loss_bbox: 1.4417 +2024/10/29 15:38:22 - mmengine - INFO - Epoch(train) [38][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:42:56 time: 0.4489 data_time: 0.0389 memory: 4652 grad_norm: 2.8762 loss: 4.4354 loss_cls: 2.9733 loss_bbox: 1.4620 +2024/10/29 15:38:44 - mmengine - INFO - Epoch(train) [38][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:42:36 time: 0.4383 data_time: 0.0391 memory: 4652 grad_norm: 3.0542 loss: 4.4367 loss_cls: 2.9734 loss_bbox: 1.4633 +2024/10/29 15:38:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 15:39:07 - mmengine - INFO - Epoch(train) [38][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:42:18 time: 0.4535 data_time: 0.0454 memory: 4652 grad_norm: 2.7364 loss: 4.3985 loss_cls: 2.9281 loss_bbox: 1.4704 +2024/10/29 15:39:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 15:39:08 - mmengine - INFO - Saving checkpoint at 38 epochs +2024/10/29 15:39:34 - mmengine - INFO - Epoch(train) [39][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:41:55 time: 0.4322 data_time: 0.0552 memory: 4652 grad_norm: 2.6321 loss: 4.3366 loss_cls: 2.8853 loss_bbox: 1.4513 +2024/10/29 15:39:55 - mmengine - INFO - Epoch(train) [39][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:41:32 time: 0.4163 data_time: 0.0380 memory: 4652 grad_norm: 2.8623 loss: 4.4193 loss_cls: 2.9489 loss_bbox: 1.4704 +2024/10/29 15:40:16 - mmengine - INFO - Epoch(train) [39][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:41:10 time: 0.4213 data_time: 0.0376 memory: 4652 grad_norm: 2.7723 loss: 4.3570 loss_cls: 2.9196 loss_bbox: 1.4374 +2024/10/29 15:40:37 - mmengine - INFO - Epoch(train) [39][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:40:46 time: 0.4065 data_time: 0.0396 memory: 4652 grad_norm: 2.9862 loss: 4.3515 loss_cls: 2.8911 loss_bbox: 1.4603 +2024/10/29 15:40:58 - mmengine - INFO - Epoch(train) [39][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:40:24 time: 0.4177 data_time: 0.0377 memory: 4652 grad_norm: 2.8206 loss: 4.4389 loss_cls: 2.9743 loss_bbox: 1.4646 +2024/10/29 15:41:19 - mmengine - INFO - Epoch(train) [39][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:40:02 time: 0.4212 data_time: 0.0383 memory: 4652 grad_norm: 2.7821 loss: 4.3548 loss_cls: 2.9024 loss_bbox: 1.4523 +2024/10/29 15:41:40 - mmengine - INFO - Epoch(train) [39][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:39:40 time: 0.4235 data_time: 0.0450 memory: 4652 grad_norm: 2.8658 loss: 4.3424 loss_cls: 2.8761 loss_bbox: 1.4663 +2024/10/29 15:42:01 - mmengine - INFO - Epoch(train) [39][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:39:19 time: 0.4298 data_time: 0.0489 memory: 4652 grad_norm: 2.7258 loss: 4.3486 loss_cls: 2.9002 loss_bbox: 1.4484 +2024/10/29 15:42:25 - mmengine - INFO - Epoch(train) [39][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:39:03 time: 0.4713 data_time: 0.0969 memory: 4652 grad_norm: 2.8428 loss: 4.3901 loss_cls: 2.9264 loss_bbox: 1.4637 +2024/10/29 15:42:46 - mmengine - INFO - Epoch(train) [39][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:38:40 time: 0.4160 data_time: 0.0484 memory: 4652 grad_norm: 2.8285 loss: 4.4073 loss_cls: 2.9511 loss_bbox: 1.4562 +2024/10/29 15:43:07 - mmengine - INFO - Epoch(train) [39][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:38:19 time: 0.4283 data_time: 0.0513 memory: 4652 grad_norm: 2.9835 loss: 4.3136 loss_cls: 2.8885 loss_bbox: 1.4251 +2024/10/29 15:43:28 - mmengine - INFO - Epoch(train) [39][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:37:57 time: 0.4216 data_time: 0.0371 memory: 4652 grad_norm: 2.6609 loss: 4.3730 loss_cls: 2.9179 loss_bbox: 1.4551 +2024/10/29 15:43:49 - mmengine - INFO - Epoch(train) [39][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:37:35 time: 0.4236 data_time: 0.0482 memory: 4652 grad_norm: 2.7486 loss: 4.4664 loss_cls: 2.9988 loss_bbox: 1.4676 +2024/10/29 15:44:11 - mmengine - INFO - Epoch(train) [39][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:37:14 time: 0.4253 data_time: 0.0457 memory: 4652 grad_norm: 3.0572 loss: 4.3624 loss_cls: 2.9018 loss_bbox: 1.4606 +2024/10/29 15:44:32 - mmengine - INFO - Epoch(train) [39][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:36:52 time: 0.4223 data_time: 0.0462 memory: 4652 grad_norm: 2.9448 loss: 4.3123 loss_cls: 2.9008 loss_bbox: 1.4116 +2024/10/29 15:44:53 - mmengine - INFO - Epoch(train) [39][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:36:29 time: 0.4160 data_time: 0.0384 memory: 4652 grad_norm: 2.7320 loss: 4.3425 loss_cls: 2.9042 loss_bbox: 1.4382 +2024/10/29 15:45:14 - mmengine - INFO - Epoch(train) [39][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:36:07 time: 0.4183 data_time: 0.0377 memory: 4652 grad_norm: 2.9406 loss: 4.3867 loss_cls: 2.9315 loss_bbox: 1.4552 +2024/10/29 15:45:35 - mmengine - INFO - Epoch(train) [39][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:35:47 time: 0.4361 data_time: 0.0392 memory: 4652 grad_norm: 2.8764 loss: 4.2669 loss_cls: 2.8606 loss_bbox: 1.4063 +2024/10/29 15:45:56 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 15:45:57 - mmengine - INFO - Epoch(train) [39][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:35:26 time: 0.4294 data_time: 0.0406 memory: 4652 grad_norm: 2.7202 loss: 4.3529 loss_cls: 2.9189 loss_bbox: 1.4340 +2024/10/29 15:46:19 - mmengine - INFO - Epoch(train) [39][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:35:06 time: 0.4431 data_time: 0.0471 memory: 4652 grad_norm: 2.6938 loss: 4.4141 loss_cls: 2.9394 loss_bbox: 1.4746 +2024/10/29 15:46:40 - mmengine - INFO - Epoch(train) [39][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:34:44 time: 0.4178 data_time: 0.0376 memory: 4652 grad_norm: 2.7987 loss: 4.3753 loss_cls: 2.9227 loss_bbox: 1.4526 +2024/10/29 15:47:02 - mmengine - INFO - Epoch(train) [39][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:34:23 time: 0.4347 data_time: 0.0363 memory: 4652 grad_norm: 2.8827 loss: 4.3138 loss_cls: 2.9147 loss_bbox: 1.3991 +2024/10/29 15:47:26 - mmengine - INFO - Epoch(train) [39][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:34:09 time: 0.4939 data_time: 0.1127 memory: 4652 grad_norm: 2.9406 loss: 4.3634 loss_cls: 2.9272 loss_bbox: 1.4362 +2024/10/29 15:47:48 - mmengine - INFO - Epoch(train) [39][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:33:48 time: 0.4257 data_time: 0.0376 memory: 4652 grad_norm: 2.9844 loss: 4.4469 loss_cls: 2.9892 loss_bbox: 1.4577 +2024/10/29 15:48:10 - mmengine - INFO - Epoch(train) [39][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:33:29 time: 0.4458 data_time: 0.0468 memory: 4652 grad_norm: 2.7397 loss: 4.3728 loss_cls: 2.9070 loss_bbox: 1.4658 +2024/10/29 15:48:30 - mmengine - INFO - Epoch(train) [39][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:33:05 time: 0.4074 data_time: 0.0355 memory: 4652 grad_norm: 3.0300 loss: 4.4586 loss_cls: 2.9379 loss_bbox: 1.5207 +2024/10/29 15:48:52 - mmengine - INFO - Epoch(train) [39][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:32:44 time: 0.4303 data_time: 0.0361 memory: 4652 grad_norm: 2.8657 loss: 4.3761 loss_cls: 2.9337 loss_bbox: 1.4425 +2024/10/29 15:49:13 - mmengine - INFO - Epoch(train) [39][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:32:22 time: 0.4160 data_time: 0.0350 memory: 4652 grad_norm: 2.6639 loss: 4.3403 loss_cls: 2.9183 loss_bbox: 1.4219 +2024/10/29 15:49:34 - mmengine - INFO - Epoch(train) [39][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:31:59 time: 0.4210 data_time: 0.0359 memory: 4652 grad_norm: 2.8708 loss: 4.4604 loss_cls: 2.9623 loss_bbox: 1.4981 +2024/10/29 15:49:55 - mmengine - INFO - Epoch(train) [39][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:31:39 time: 0.4309 data_time: 0.0371 memory: 4652 grad_norm: 2.8309 loss: 4.3144 loss_cls: 2.8895 loss_bbox: 1.4248 +2024/10/29 15:50:16 - mmengine - INFO - Epoch(train) [39][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:31:17 time: 0.4247 data_time: 0.0437 memory: 4652 grad_norm: 2.8544 loss: 4.3854 loss_cls: 2.9249 loss_bbox: 1.4606 +2024/10/29 15:50:38 - mmengine - INFO - Epoch(train) [39][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:30:55 time: 0.4257 data_time: 0.0389 memory: 4652 grad_norm: 2.7613 loss: 4.3284 loss_cls: 2.8780 loss_bbox: 1.4504 +2024/10/29 15:50:59 - mmengine - INFO - Epoch(train) [39][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:30:34 time: 0.4293 data_time: 0.0358 memory: 4652 grad_norm: 2.9284 loss: 4.3708 loss_cls: 2.9227 loss_bbox: 1.4481 +2024/10/29 15:51:20 - mmengine - INFO - Epoch(train) [39][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:30:13 time: 0.4224 data_time: 0.0352 memory: 4652 grad_norm: 2.8277 loss: 4.2744 loss_cls: 2.8563 loss_bbox: 1.4180 +2024/10/29 15:51:43 - mmengine - INFO - Epoch(train) [39][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:29:53 time: 0.4440 data_time: 0.0475 memory: 4652 grad_norm: 2.9788 loss: 4.3219 loss_cls: 2.8695 loss_bbox: 1.4524 +2024/10/29 15:52:04 - mmengine - INFO - Epoch(train) [39][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:29:32 time: 0.4275 data_time: 0.0400 memory: 4652 grad_norm: 2.8297 loss: 4.3413 loss_cls: 2.9087 loss_bbox: 1.4326 +2024/10/29 15:52:25 - mmengine - INFO - Epoch(train) [39][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:29:10 time: 0.4264 data_time: 0.0537 memory: 4652 grad_norm: 2.9460 loss: 4.3084 loss_cls: 2.8959 loss_bbox: 1.4125 +2024/10/29 15:52:46 - mmengine - INFO - Epoch(train) [39][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:28:48 time: 0.4225 data_time: 0.0391 memory: 4652 grad_norm: 2.9260 loss: 4.3963 loss_cls: 2.9222 loss_bbox: 1.4741 +2024/10/29 15:53:07 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 15:53:08 - mmengine - INFO - Epoch(train) [39][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:28:27 time: 0.4275 data_time: 0.0462 memory: 4652 grad_norm: 2.9326 loss: 4.4368 loss_cls: 2.9698 loss_bbox: 1.4670 +2024/10/29 15:53:30 - mmengine - INFO - Epoch(train) [39][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:28:08 time: 0.4461 data_time: 0.0581 memory: 4652 grad_norm: 2.7630 loss: 4.3975 loss_cls: 2.9497 loss_bbox: 1.4478 +2024/10/29 15:53:51 - mmengine - INFO - Epoch(train) [39][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:27:47 time: 0.4262 data_time: 0.0365 memory: 4652 grad_norm: 2.8100 loss: 4.2595 loss_cls: 2.8214 loss_bbox: 1.4380 +2024/10/29 15:54:13 - mmengine - INFO - Epoch(train) [39][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:27:25 time: 0.4263 data_time: 0.0427 memory: 4652 grad_norm: 2.6959 loss: 4.3921 loss_cls: 2.9250 loss_bbox: 1.4671 +2024/10/29 15:54:34 - mmengine - INFO - Epoch(train) [39][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:27:03 time: 0.4196 data_time: 0.0455 memory: 4652 grad_norm: 2.8351 loss: 4.3764 loss_cls: 2.9170 loss_bbox: 1.4594 +2024/10/29 15:54:55 - mmengine - INFO - Epoch(train) [39][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:26:40 time: 0.4158 data_time: 0.0378 memory: 4652 grad_norm: 2.7165 loss: 4.3767 loss_cls: 2.9014 loss_bbox: 1.4753 +2024/10/29 15:55:17 - mmengine - INFO - Epoch(train) [39][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:26:20 time: 0.4399 data_time: 0.0540 memory: 4652 grad_norm: 2.8669 loss: 4.4877 loss_cls: 3.0034 loss_bbox: 1.4843 +2024/10/29 15:55:38 - mmengine - INFO - Epoch(train) [39][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:25:59 time: 0.4223 data_time: 0.0367 memory: 4652 grad_norm: 2.8707 loss: 4.4240 loss_cls: 2.9233 loss_bbox: 1.5007 +2024/10/29 15:55:59 - mmengine - INFO - Epoch(train) [39][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:25:37 time: 0.4219 data_time: 0.0356 memory: 4652 grad_norm: 2.8060 loss: 4.3844 loss_cls: 2.9560 loss_bbox: 1.4284 +2024/10/29 15:56:20 - mmengine - INFO - Epoch(train) [39][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:25:16 time: 0.4318 data_time: 0.0454 memory: 4652 grad_norm: 2.8168 loss: 4.3931 loss_cls: 2.8988 loss_bbox: 1.4943 +2024/10/29 15:56:43 - mmengine - INFO - Epoch(train) [39][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:24:56 time: 0.4421 data_time: 0.0418 memory: 4652 grad_norm: 2.7742 loss: 4.3702 loss_cls: 2.9092 loss_bbox: 1.4610 +2024/10/29 15:57:04 - mmengine - INFO - Epoch(train) [39][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:24:34 time: 0.4237 data_time: 0.0382 memory: 4652 grad_norm: 2.8741 loss: 4.3928 loss_cls: 2.9420 loss_bbox: 1.4507 +2024/10/29 15:57:25 - mmengine - INFO - Epoch(train) [39][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:24:13 time: 0.4260 data_time: 0.0451 memory: 4652 grad_norm: 2.6529 loss: 4.3502 loss_cls: 2.8964 loss_bbox: 1.4538 +2024/10/29 15:57:48 - mmengine - INFO - Epoch(train) [39][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:23:55 time: 0.4542 data_time: 0.0780 memory: 4652 grad_norm: 2.8270 loss: 4.4630 loss_cls: 2.9703 loss_bbox: 1.4927 +2024/10/29 15:58:08 - mmengine - INFO - Epoch(train) [39][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:23:32 time: 0.4141 data_time: 0.0410 memory: 4652 grad_norm: 2.7822 loss: 4.4613 loss_cls: 2.9620 loss_bbox: 1.4993 +2024/10/29 15:58:30 - mmengine - INFO - Epoch(train) [39][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:23:11 time: 0.4334 data_time: 0.0455 memory: 4652 grad_norm: 2.9713 loss: 4.3435 loss_cls: 2.8967 loss_bbox: 1.4468 +2024/10/29 15:58:52 - mmengine - INFO - Epoch(train) [39][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:22:50 time: 0.4316 data_time: 0.0509 memory: 4652 grad_norm: 2.8512 loss: 4.3442 loss_cls: 2.9450 loss_bbox: 1.3992 +2024/10/29 15:59:13 - mmengine - INFO - Epoch(train) [39][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:22:28 time: 0.4224 data_time: 0.0362 memory: 4652 grad_norm: 2.7724 loss: 4.3785 loss_cls: 2.9012 loss_bbox: 1.4773 +2024/10/29 15:59:35 - mmengine - INFO - Epoch(train) [39][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:22:08 time: 0.4346 data_time: 0.0452 memory: 4652 grad_norm: 2.8974 loss: 4.3777 loss_cls: 2.9466 loss_bbox: 1.4311 +2024/10/29 15:59:55 - mmengine - INFO - Epoch(train) [39][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:21:45 time: 0.4097 data_time: 0.0352 memory: 4652 grad_norm: 2.8715 loss: 4.2878 loss_cls: 2.8541 loss_bbox: 1.4337 +2024/10/29 16:00:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 16:00:17 - mmengine - INFO - Epoch(train) [39][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:21:25 time: 0.4447 data_time: 0.0352 memory: 4652 grad_norm: 2.9268 loss: 4.3746 loss_cls: 2.9266 loss_bbox: 1.4480 +2024/10/29 16:00:39 - mmengine - INFO - Epoch(train) [39][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:21:05 time: 0.4359 data_time: 0.0454 memory: 4652 grad_norm: 2.9086 loss: 4.4012 loss_cls: 2.9303 loss_bbox: 1.4708 +2024/10/29 16:01:00 - mmengine - INFO - Epoch(train) [39][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:20:43 time: 0.4253 data_time: 0.0366 memory: 4652 grad_norm: 2.8722 loss: 4.3977 loss_cls: 2.9337 loss_bbox: 1.4640 +2024/10/29 16:01:02 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 16:01:02 - mmengine - INFO - Saving checkpoint at 39 epochs +2024/10/29 16:01:31 - mmengine - INFO - Epoch(train) [40][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:20:22 time: 0.4464 data_time: 0.0567 memory: 4652 grad_norm: 2.8576 loss: 4.2800 loss_cls: 2.8461 loss_bbox: 1.4339 +2024/10/29 16:01:52 - mmengine - INFO - Epoch(train) [40][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:19:59 time: 0.4182 data_time: 0.0390 memory: 4652 grad_norm: 2.7899 loss: 4.3521 loss_cls: 2.9047 loss_bbox: 1.4474 +2024/10/29 16:02:14 - mmengine - INFO - Epoch(train) [40][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:19:39 time: 0.4363 data_time: 0.0381 memory: 4652 grad_norm: 2.8579 loss: 4.4977 loss_cls: 2.9623 loss_bbox: 1.5354 +2024/10/29 16:02:34 - mmengine - INFO - Epoch(train) [40][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:19:16 time: 0.4076 data_time: 0.0376 memory: 4652 grad_norm: 2.7244 loss: 4.3587 loss_cls: 2.9174 loss_bbox: 1.4413 +2024/10/29 16:02:55 - mmengine - INFO - Epoch(train) [40][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:18:54 time: 0.4281 data_time: 0.0381 memory: 4652 grad_norm: 2.7549 loss: 4.3935 loss_cls: 2.9278 loss_bbox: 1.4657 +2024/10/29 16:03:17 - mmengine - INFO - Epoch(train) [40][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:18:33 time: 0.4277 data_time: 0.0516 memory: 4652 grad_norm: 2.8500 loss: 4.4132 loss_cls: 2.9431 loss_bbox: 1.4701 +2024/10/29 16:03:38 - mmengine - INFO - Epoch(train) [40][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:18:11 time: 0.4220 data_time: 0.0424 memory: 4652 grad_norm: 2.9926 loss: 4.3024 loss_cls: 2.8659 loss_bbox: 1.4365 +2024/10/29 16:04:00 - mmengine - INFO - Epoch(train) [40][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:17:51 time: 0.4382 data_time: 0.0452 memory: 4652 grad_norm: 2.8153 loss: 4.3731 loss_cls: 2.8950 loss_bbox: 1.4781 +2024/10/29 16:04:20 - mmengine - INFO - Epoch(train) [40][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:17:28 time: 0.4078 data_time: 0.0389 memory: 4652 grad_norm: 2.9725 loss: 4.4308 loss_cls: 2.9754 loss_bbox: 1.4555 +2024/10/29 16:04:42 - mmengine - INFO - Epoch(train) [40][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:17:07 time: 0.4361 data_time: 0.0389 memory: 4652 grad_norm: 2.8595 loss: 4.3740 loss_cls: 2.9572 loss_bbox: 1.4168 +2024/10/29 16:05:03 - mmengine - INFO - Epoch(train) [40][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:16:44 time: 0.4130 data_time: 0.0386 memory: 4652 grad_norm: 2.9049 loss: 4.3239 loss_cls: 2.9055 loss_bbox: 1.4184 +2024/10/29 16:05:27 - mmengine - INFO - Epoch(train) [40][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:16:29 time: 0.4812 data_time: 0.1028 memory: 4652 grad_norm: 2.8365 loss: 4.2815 loss_cls: 2.8748 loss_bbox: 1.4067 +2024/10/29 16:05:49 - mmengine - INFO - Epoch(train) [40][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:16:10 time: 0.4478 data_time: 0.0447 memory: 4652 grad_norm: 2.7886 loss: 4.4816 loss_cls: 2.9822 loss_bbox: 1.4995 +2024/10/29 16:06:10 - mmengine - INFO - Epoch(train) [40][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:15:47 time: 0.4147 data_time: 0.0452 memory: 4652 grad_norm: 2.9575 loss: 4.5243 loss_cls: 3.0170 loss_bbox: 1.5073 +2024/10/29 16:06:32 - mmengine - INFO - Epoch(train) [40][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:15:28 time: 0.4507 data_time: 0.0422 memory: 4652 grad_norm: 2.8495 loss: 4.3765 loss_cls: 2.9379 loss_bbox: 1.4386 +2024/10/29 16:06:54 - mmengine - INFO - Epoch(train) [40][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:15:06 time: 0.4211 data_time: 0.0392 memory: 4652 grad_norm: 2.9911 loss: 4.2921 loss_cls: 2.9164 loss_bbox: 1.3757 +2024/10/29 16:07:15 - mmengine - INFO - Epoch(train) [40][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:14:46 time: 0.4364 data_time: 0.0395 memory: 4652 grad_norm: 2.7976 loss: 4.3856 loss_cls: 2.9254 loss_bbox: 1.4602 +2024/10/29 16:07:35 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 16:07:38 - mmengine - INFO - Epoch(train) [40][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:14:26 time: 0.4423 data_time: 0.0472 memory: 4652 grad_norm: 2.8233 loss: 4.3734 loss_cls: 2.9290 loss_bbox: 1.4444 +2024/10/29 16:07:59 - mmengine - INFO - Epoch(train) [40][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:14:06 time: 0.4343 data_time: 0.0432 memory: 4652 grad_norm: 2.8020 loss: 4.3988 loss_cls: 2.9312 loss_bbox: 1.4676 +2024/10/29 16:08:23 - mmengine - INFO - Epoch(train) [40][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:13:49 time: 0.4754 data_time: 0.0400 memory: 4652 grad_norm: 2.9057 loss: 4.3138 loss_cls: 2.8945 loss_bbox: 1.4192 +2024/10/29 16:08:44 - mmengine - INFO - Epoch(train) [40][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:13:28 time: 0.4252 data_time: 0.0389 memory: 4652 grad_norm: 2.8714 loss: 4.4239 loss_cls: 2.9499 loss_bbox: 1.4740 +2024/10/29 16:09:07 - mmengine - INFO - Epoch(train) [40][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:13:09 time: 0.4513 data_time: 0.0397 memory: 4652 grad_norm: 2.8788 loss: 4.4671 loss_cls: 2.9775 loss_bbox: 1.4896 +2024/10/29 16:09:29 - mmengine - INFO - Epoch(train) [40][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:12:48 time: 0.4332 data_time: 0.0421 memory: 4652 grad_norm: 2.9233 loss: 4.3822 loss_cls: 2.9171 loss_bbox: 1.4650 +2024/10/29 16:09:50 - mmengine - INFO - Epoch(train) [40][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:12:27 time: 0.4310 data_time: 0.0412 memory: 4652 grad_norm: 2.9546 loss: 4.3913 loss_cls: 2.9152 loss_bbox: 1.4761 +2024/10/29 16:10:13 - mmengine - INFO - Epoch(train) [40][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:12:09 time: 0.4557 data_time: 0.0439 memory: 4652 grad_norm: 2.7832 loss: 4.3551 loss_cls: 2.9053 loss_bbox: 1.4498 +2024/10/29 16:10:34 - mmengine - INFO - Epoch(train) [40][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:11:47 time: 0.4226 data_time: 0.0430 memory: 4652 grad_norm: 2.8516 loss: 4.4565 loss_cls: 2.9467 loss_bbox: 1.5098 +2024/10/29 16:10:57 - mmengine - INFO - Epoch(train) [40][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:11:30 time: 0.4609 data_time: 0.0480 memory: 4652 grad_norm: 2.7742 loss: 4.4216 loss_cls: 2.9454 loss_bbox: 1.4761 +2024/10/29 16:11:18 - mmengine - INFO - Epoch(train) [40][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:11:08 time: 0.4240 data_time: 0.0414 memory: 4652 grad_norm: 2.9927 loss: 4.3569 loss_cls: 2.9200 loss_bbox: 1.4369 +2024/10/29 16:11:40 - mmengine - INFO - Epoch(train) [40][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:10:48 time: 0.4434 data_time: 0.0405 memory: 4652 grad_norm: 2.7352 loss: 4.4523 loss_cls: 2.9507 loss_bbox: 1.5016 +2024/10/29 16:12:02 - mmengine - INFO - Epoch(train) [40][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:10:28 time: 0.4390 data_time: 0.0465 memory: 4652 grad_norm: 3.0370 loss: 4.4897 loss_cls: 3.0249 loss_bbox: 1.4647 +2024/10/29 16:12:26 - mmengine - INFO - Epoch(train) [40][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:10:12 time: 0.4786 data_time: 0.0937 memory: 4652 grad_norm: 3.0193 loss: 4.3133 loss_cls: 2.8801 loss_bbox: 1.4332 +2024/10/29 16:12:49 - mmengine - INFO - Epoch(train) [40][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:09:53 time: 0.4489 data_time: 0.0451 memory: 4652 grad_norm: 2.9711 loss: 4.3775 loss_cls: 2.9414 loss_bbox: 1.4360 +2024/10/29 16:13:11 - mmengine - INFO - Epoch(train) [40][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:09:33 time: 0.4338 data_time: 0.0431 memory: 4652 grad_norm: 2.7855 loss: 4.4573 loss_cls: 2.9368 loss_bbox: 1.5206 +2024/10/29 16:13:33 - mmengine - INFO - Epoch(train) [40][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:09:14 time: 0.4491 data_time: 0.0433 memory: 4652 grad_norm: 2.9069 loss: 4.2946 loss_cls: 2.8709 loss_bbox: 1.4238 +2024/10/29 16:13:54 - mmengine - INFO - Epoch(train) [40][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:08:52 time: 0.4267 data_time: 0.0397 memory: 4652 grad_norm: 2.9160 loss: 4.4261 loss_cls: 2.9839 loss_bbox: 1.4422 +2024/10/29 16:14:16 - mmengine - INFO - Epoch(train) [40][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:08:31 time: 0.4286 data_time: 0.0421 memory: 4652 grad_norm: 2.8774 loss: 4.4154 loss_cls: 2.9371 loss_bbox: 1.4783 +2024/10/29 16:14:39 - mmengine - INFO - Epoch(train) [40][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:08:14 time: 0.4653 data_time: 0.0516 memory: 4652 grad_norm: 2.7742 loss: 4.4039 loss_cls: 2.9324 loss_bbox: 1.4715 +2024/10/29 16:14:58 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 16:15:01 - mmengine - INFO - Epoch(train) [40][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:07:53 time: 0.4367 data_time: 0.0390 memory: 4652 grad_norm: 2.8829 loss: 4.4297 loss_cls: 2.9412 loss_bbox: 1.4885 +2024/10/29 16:15:23 - mmengine - INFO - Epoch(train) [40][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:07:35 time: 0.4518 data_time: 0.0381 memory: 4652 grad_norm: 2.9665 loss: 4.4675 loss_cls: 2.9531 loss_bbox: 1.5144 +2024/10/29 16:15:45 - mmengine - INFO - Epoch(train) [40][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:07:13 time: 0.4228 data_time: 0.0378 memory: 4652 grad_norm: 2.7040 loss: 4.3474 loss_cls: 2.9293 loss_bbox: 1.4181 +2024/10/29 16:16:06 - mmengine - INFO - Epoch(train) [40][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:06:53 time: 0.4366 data_time: 0.0381 memory: 4652 grad_norm: 2.8598 loss: 4.4804 loss_cls: 3.0098 loss_bbox: 1.4706 +2024/10/29 16:16:29 - mmengine - INFO - Epoch(train) [40][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:06:33 time: 0.4467 data_time: 0.0469 memory: 4652 grad_norm: 3.1142 loss: 4.4488 loss_cls: 2.9552 loss_bbox: 1.4936 +2024/10/29 16:16:51 - mmengine - INFO - Epoch(train) [40][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:06:13 time: 0.4397 data_time: 0.0438 memory: 4652 grad_norm: 2.9269 loss: 4.3303 loss_cls: 2.8891 loss_bbox: 1.4413 +2024/10/29 16:17:13 - mmengine - INFO - Epoch(train) [40][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:05:54 time: 0.4519 data_time: 0.0360 memory: 4652 grad_norm: 2.8150 loss: 4.4385 loss_cls: 2.9692 loss_bbox: 1.4693 +2024/10/29 16:17:34 - mmengine - INFO - Epoch(train) [40][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:05:31 time: 0.4105 data_time: 0.0379 memory: 4652 grad_norm: 3.2124 loss: 4.3440 loss_cls: 2.9184 loss_bbox: 1.4257 +2024/10/29 16:17:56 - mmengine - INFO - Epoch(train) [40][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:05:11 time: 0.4337 data_time: 0.0373 memory: 4652 grad_norm: 2.6650 loss: 4.3598 loss_cls: 2.9094 loss_bbox: 1.4504 +2024/10/29 16:18:18 - mmengine - INFO - Epoch(train) [40][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:04:50 time: 0.4374 data_time: 0.0391 memory: 4652 grad_norm: 2.8721 loss: 4.3591 loss_cls: 2.9046 loss_bbox: 1.4544 +2024/10/29 16:18:39 - mmengine - INFO - Epoch(train) [40][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:04:29 time: 0.4252 data_time: 0.0439 memory: 4652 grad_norm: 2.7108 loss: 4.4001 loss_cls: 2.9742 loss_bbox: 1.4259 +2024/10/29 16:19:02 - mmengine - INFO - Epoch(train) [40][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:04:11 time: 0.4620 data_time: 0.0516 memory: 4652 grad_norm: 3.1244 loss: 4.3980 loss_cls: 2.9374 loss_bbox: 1.4606 +2024/10/29 16:19:27 - mmengine - INFO - Epoch(train) [40][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:03:57 time: 0.4923 data_time: 0.0990 memory: 4652 grad_norm: 2.8009 loss: 4.3973 loss_cls: 2.9389 loss_bbox: 1.4584 +2024/10/29 16:19:48 - mmengine - INFO - Epoch(train) [40][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:03:35 time: 0.4253 data_time: 0.0393 memory: 4652 grad_norm: 2.9509 loss: 4.3990 loss_cls: 2.9589 loss_bbox: 1.4401 +2024/10/29 16:20:10 - mmengine - INFO - Epoch(train) [40][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:03:15 time: 0.4380 data_time: 0.0478 memory: 4652 grad_norm: 2.9085 loss: 4.4266 loss_cls: 2.9249 loss_bbox: 1.5017 +2024/10/29 16:20:31 - mmengine - INFO - Epoch(train) [40][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:02:53 time: 0.4217 data_time: 0.0406 memory: 4652 grad_norm: 2.7198 loss: 4.4559 loss_cls: 2.9769 loss_bbox: 1.4790 +2024/10/29 16:20:54 - mmengine - INFO - Epoch(train) [40][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:02:35 time: 0.4593 data_time: 0.0538 memory: 4652 grad_norm: 2.9424 loss: 4.4612 loss_cls: 2.9844 loss_bbox: 1.4767 +2024/10/29 16:21:16 - mmengine - INFO - Epoch(train) [40][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:02:16 time: 0.4469 data_time: 0.0500 memory: 4652 grad_norm: 2.7813 loss: 4.3207 loss_cls: 2.8811 loss_bbox: 1.4397 +2024/10/29 16:21:38 - mmengine - INFO - Epoch(train) [40][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:01:54 time: 0.4299 data_time: 0.0392 memory: 4652 grad_norm: 2.7935 loss: 4.4033 loss_cls: 2.9512 loss_bbox: 1.4520 +2024/10/29 16:21:59 - mmengine - INFO - Epoch(train) [40][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:01:34 time: 0.4358 data_time: 0.0474 memory: 4652 grad_norm: 2.7991 loss: 4.3824 loss_cls: 2.9323 loss_bbox: 1.4502 +2024/10/29 16:22:19 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 16:22:21 - mmengine - INFO - Epoch(train) [40][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:01:13 time: 0.4315 data_time: 0.0510 memory: 4652 grad_norm: 2.7099 loss: 4.4853 loss_cls: 3.0028 loss_bbox: 1.4824 +2024/10/29 16:22:44 - mmengine - INFO - Epoch(train) [40][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:00:55 time: 0.4583 data_time: 0.0474 memory: 4652 grad_norm: 2.7122 loss: 4.4883 loss_cls: 2.9528 loss_bbox: 1.5355 +2024/10/29 16:23:05 - mmengine - INFO - Epoch(train) [40][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:00:33 time: 0.4173 data_time: 0.0381 memory: 4652 grad_norm: 2.9056 loss: 4.3870 loss_cls: 2.9380 loss_bbox: 1.4489 +2024/10/29 16:23:27 - mmengine - INFO - Epoch(train) [40][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 5:00:12 time: 0.4376 data_time: 0.0532 memory: 4652 grad_norm: 2.6955 loss: 4.3899 loss_cls: 2.9271 loss_bbox: 1.4628 +2024/10/29 16:23:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 16:23:29 - mmengine - INFO - Saving checkpoint at 40 epochs +2024/10/29 16:23:39 - mmengine - INFO - Epoch(val) [40][50/79] eta: 0:00:02 time: 0.0747 data_time: 0.0088 memory: 4652 +2024/10/29 16:24:01 - mmengine - INFO - Evaluating bbox... +2024/10/29 16:25:25 - mmengine - INFO - bbox_mAP_copypaste: 0.200 0.357 0.203 0.055 0.234 0.325 +2024/10/29 16:25:26 - mmengine - INFO - Epoch(val) [40][79/79] coco/bbox_mAP: 0.2000 coco/bbox_mAP_50: 0.3570 coco/bbox_mAP_75: 0.2030 coco/bbox_mAP_s: 0.0550 coco/bbox_mAP_m: 0.2340 coco/bbox_mAP_l: 0.3250 data_time: 0.0082 time: 0.0735 +2024/10/29 16:25:49 - mmengine - INFO - Epoch(train) [41][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:59:51 time: 0.4402 data_time: 0.0577 memory: 4652 grad_norm: 3.1084 loss: 4.4502 loss_cls: 2.9713 loss_bbox: 1.4789 +2024/10/29 16:26:09 - mmengine - INFO - Epoch(train) [41][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:59:28 time: 0.4127 data_time: 0.0389 memory: 4652 grad_norm: 3.1216 loss: 4.2864 loss_cls: 2.8536 loss_bbox: 1.4328 +2024/10/29 16:26:31 - mmengine - INFO - Epoch(train) [41][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:59:07 time: 0.4312 data_time: 0.0386 memory: 4652 grad_norm: 2.8346 loss: 4.2414 loss_cls: 2.8231 loss_bbox: 1.4183 +2024/10/29 16:26:52 - mmengine - INFO - Epoch(train) [41][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:58:44 time: 0.4130 data_time: 0.0441 memory: 4652 grad_norm: 2.9094 loss: 4.4462 loss_cls: 2.9420 loss_bbox: 1.5042 +2024/10/29 16:27:13 - mmengine - INFO - Epoch(train) [41][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:58:22 time: 0.4207 data_time: 0.0401 memory: 4652 grad_norm: 2.8497 loss: 4.5054 loss_cls: 2.9754 loss_bbox: 1.5300 +2024/10/29 16:27:34 - mmengine - INFO - Epoch(train) [41][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:58:00 time: 0.4172 data_time: 0.0385 memory: 4652 grad_norm: 2.8520 loss: 4.3311 loss_cls: 2.9261 loss_bbox: 1.4050 +2024/10/29 16:27:55 - mmengine - INFO - Epoch(train) [41][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:57:38 time: 0.4240 data_time: 0.0420 memory: 4652 grad_norm: 2.8994 loss: 4.2255 loss_cls: 2.8729 loss_bbox: 1.3526 +2024/10/29 16:28:17 - mmengine - INFO - Epoch(train) [41][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:57:18 time: 0.4352 data_time: 0.0377 memory: 4652 grad_norm: 2.8854 loss: 4.4283 loss_cls: 2.9341 loss_bbox: 1.4942 +2024/10/29 16:28:37 - mmengine - INFO - Epoch(train) [41][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:56:55 time: 0.4139 data_time: 0.0371 memory: 4652 grad_norm: 2.8700 loss: 4.3141 loss_cls: 2.9326 loss_bbox: 1.3815 +2024/10/29 16:28:59 - mmengine - INFO - Epoch(train) [41][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:56:34 time: 0.4327 data_time: 0.0374 memory: 4652 grad_norm: 3.1042 loss: 4.4271 loss_cls: 2.9683 loss_bbox: 1.4588 +2024/10/29 16:29:20 - mmengine - INFO - Epoch(train) [41][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:56:13 time: 0.4304 data_time: 0.0446 memory: 4652 grad_norm: 2.8503 loss: 4.4023 loss_cls: 2.9441 loss_bbox: 1.4582 +2024/10/29 16:29:41 - mmengine - INFO - Epoch(train) [41][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:55:50 time: 0.4076 data_time: 0.0370 memory: 4652 grad_norm: 2.9463 loss: 4.4284 loss_cls: 2.9537 loss_bbox: 1.4747 +2024/10/29 16:30:03 - mmengine - INFO - Epoch(train) [41][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:55:30 time: 0.4458 data_time: 0.0495 memory: 4652 grad_norm: 2.8319 loss: 4.4766 loss_cls: 3.0072 loss_bbox: 1.4694 +2024/10/29 16:30:27 - mmengine - INFO - Epoch(train) [41][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:55:14 time: 0.4745 data_time: 0.0965 memory: 4652 grad_norm: 2.7527 loss: 4.2653 loss_cls: 2.8320 loss_bbox: 1.4332 +2024/10/29 16:30:49 - mmengine - INFO - Epoch(train) [41][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:54:53 time: 0.4349 data_time: 0.0422 memory: 4652 grad_norm: 2.8751 loss: 4.4280 loss_cls: 2.9485 loss_bbox: 1.4795 +2024/10/29 16:31:10 - mmengine - INFO - Epoch(train) [41][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:54:32 time: 0.4296 data_time: 0.0371 memory: 4652 grad_norm: 2.7439 loss: 4.4941 loss_cls: 2.9964 loss_bbox: 1.4977 +2024/10/29 16:31:27 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 16:31:31 - mmengine - INFO - Epoch(train) [41][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:54:09 time: 0.4153 data_time: 0.0385 memory: 4652 grad_norm: 2.7459 loss: 4.3213 loss_cls: 2.8904 loss_bbox: 1.4309 +2024/10/29 16:31:52 - mmengine - INFO - Epoch(train) [41][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:53:48 time: 0.4322 data_time: 0.0409 memory: 4652 grad_norm: 3.1202 loss: 4.3397 loss_cls: 2.9088 loss_bbox: 1.4309 +2024/10/29 16:32:14 - mmengine - INFO - Epoch(train) [41][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:53:28 time: 0.4344 data_time: 0.0594 memory: 4652 grad_norm: 2.9952 loss: 4.4029 loss_cls: 2.9339 loss_bbox: 1.4690 +2024/10/29 16:32:36 - mmengine - INFO - Epoch(train) [41][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:53:08 time: 0.4376 data_time: 0.0506 memory: 4652 grad_norm: 2.8431 loss: 4.4594 loss_cls: 2.9903 loss_bbox: 1.4691 +2024/10/29 16:32:57 - mmengine - INFO - Epoch(train) [41][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:52:46 time: 0.4243 data_time: 0.0460 memory: 4652 grad_norm: 3.0161 loss: 4.4737 loss_cls: 2.9861 loss_bbox: 1.4876 +2024/10/29 16:33:18 - mmengine - INFO - Epoch(train) [41][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:52:24 time: 0.4228 data_time: 0.0369 memory: 4652 grad_norm: 2.7762 loss: 4.3596 loss_cls: 2.9076 loss_bbox: 1.4519 +2024/10/29 16:33:41 - mmengine - INFO - Epoch(train) [41][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:52:04 time: 0.4404 data_time: 0.0413 memory: 4652 grad_norm: 2.8263 loss: 4.3616 loss_cls: 2.9193 loss_bbox: 1.4422 +2024/10/29 16:34:01 - mmengine - INFO - Epoch(train) [41][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:51:40 time: 0.4071 data_time: 0.0386 memory: 4652 grad_norm: 2.9165 loss: 4.2820 loss_cls: 2.8838 loss_bbox: 1.3982 +2024/10/29 16:34:22 - mmengine - INFO - Epoch(train) [41][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:51:20 time: 0.4312 data_time: 0.0420 memory: 4652 grad_norm: 3.0119 loss: 4.3206 loss_cls: 2.9184 loss_bbox: 1.4021 +2024/10/29 16:34:44 - mmengine - INFO - Epoch(train) [41][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:51:00 time: 0.4408 data_time: 0.0466 memory: 4652 grad_norm: 2.9495 loss: 4.3504 loss_cls: 2.9172 loss_bbox: 1.4332 +2024/10/29 16:35:06 - mmengine - INFO - Epoch(train) [41][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:50:39 time: 0.4320 data_time: 0.0451 memory: 4652 grad_norm: 2.6532 loss: 4.4078 loss_cls: 2.9466 loss_bbox: 1.4612 +2024/10/29 16:35:28 - mmengine - INFO - Epoch(train) [41][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:50:19 time: 0.4418 data_time: 0.0428 memory: 4652 grad_norm: 2.9284 loss: 4.4565 loss_cls: 2.9710 loss_bbox: 1.4855 +2024/10/29 16:35:48 - mmengine - INFO - Epoch(train) [41][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:49:55 time: 0.4040 data_time: 0.0375 memory: 4652 grad_norm: 2.9573 loss: 4.4783 loss_cls: 2.9804 loss_bbox: 1.4979 +2024/10/29 16:36:10 - mmengine - INFO - Epoch(train) [41][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:49:34 time: 0.4296 data_time: 0.0393 memory: 4652 grad_norm: 3.0465 loss: 4.3001 loss_cls: 2.8716 loss_bbox: 1.4285 +2024/10/29 16:36:32 - mmengine - INFO - Epoch(train) [41][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:49:14 time: 0.4398 data_time: 0.0485 memory: 4652 grad_norm: 2.9088 loss: 4.4637 loss_cls: 2.9650 loss_bbox: 1.4987 +2024/10/29 16:36:53 - mmengine - INFO - Epoch(train) [41][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:48:51 time: 0.4152 data_time: 0.0388 memory: 4652 grad_norm: 2.7650 loss: 4.4542 loss_cls: 2.9681 loss_bbox: 1.4861 +2024/10/29 16:37:14 - mmengine - INFO - Epoch(train) [41][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:48:31 time: 0.4347 data_time: 0.0390 memory: 4652 grad_norm: 2.9439 loss: 4.5106 loss_cls: 2.9655 loss_bbox: 1.5451 +2024/10/29 16:37:36 - mmengine - INFO - Epoch(train) [41][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:48:09 time: 0.4238 data_time: 0.0451 memory: 4652 grad_norm: 3.0252 loss: 4.3720 loss_cls: 2.9405 loss_bbox: 1.4315 +2024/10/29 16:37:57 - mmengine - INFO - Epoch(train) [41][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:47:46 time: 0.4184 data_time: 0.0392 memory: 4652 grad_norm: 2.9124 loss: 4.3922 loss_cls: 2.9442 loss_bbox: 1.4480 +2024/10/29 16:38:18 - mmengine - INFO - Epoch(train) [41][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:47:26 time: 0.4381 data_time: 0.0497 memory: 4652 grad_norm: 2.7914 loss: 4.3437 loss_cls: 2.9201 loss_bbox: 1.4236 +2024/10/29 16:38:35 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 16:38:40 - mmengine - INFO - Epoch(train) [41][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:47:04 time: 0.4213 data_time: 0.0413 memory: 4652 grad_norm: 2.6071 loss: 4.3384 loss_cls: 2.8818 loss_bbox: 1.4567 +2024/10/29 16:39:01 - mmengine - INFO - Epoch(train) [41][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:46:43 time: 0.4291 data_time: 0.0374 memory: 4652 grad_norm: 2.9687 loss: 4.4552 loss_cls: 2.9906 loss_bbox: 1.4646 +2024/10/29 16:39:22 - mmengine - INFO - Epoch(train) [41][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:46:22 time: 0.4263 data_time: 0.0381 memory: 4652 grad_norm: 2.9969 loss: 4.4267 loss_cls: 2.9265 loss_bbox: 1.5003 +2024/10/29 16:39:44 - mmengine - INFO - Epoch(train) [41][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:46:01 time: 0.4341 data_time: 0.0377 memory: 4652 grad_norm: 2.8454 loss: 4.3791 loss_cls: 2.9212 loss_bbox: 1.4579 +2024/10/29 16:40:04 - mmengine - INFO - Epoch(train) [41][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:45:37 time: 0.4077 data_time: 0.0375 memory: 4652 grad_norm: 2.8321 loss: 4.4186 loss_cls: 2.9270 loss_bbox: 1.4916 +2024/10/29 16:40:27 - mmengine - INFO - Epoch(train) [41][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:45:19 time: 0.4533 data_time: 0.0771 memory: 4652 grad_norm: 2.9961 loss: 4.4152 loss_cls: 2.9466 loss_bbox: 1.4686 +2024/10/29 16:40:48 - mmengine - INFO - Epoch(train) [41][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:44:56 time: 0.4144 data_time: 0.0376 memory: 4652 grad_norm: 2.6912 loss: 4.3956 loss_cls: 2.9280 loss_bbox: 1.4677 +2024/10/29 16:41:09 - mmengine - INFO - Epoch(train) [41][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:44:34 time: 0.4180 data_time: 0.0389 memory: 4652 grad_norm: 2.9850 loss: 4.4084 loss_cls: 2.9249 loss_bbox: 1.4835 +2024/10/29 16:41:29 - mmengine - INFO - Epoch(train) [41][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:44:11 time: 0.4110 data_time: 0.0369 memory: 4652 grad_norm: 2.8081 loss: 4.3001 loss_cls: 2.8824 loss_bbox: 1.4177 +2024/10/29 16:41:50 - mmengine - INFO - Epoch(train) [41][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:43:49 time: 0.4204 data_time: 0.0439 memory: 4652 grad_norm: 3.0581 loss: 4.5203 loss_cls: 3.0291 loss_bbox: 1.4912 +2024/10/29 16:42:11 - mmengine - INFO - Epoch(train) [41][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:43:27 time: 0.4229 data_time: 0.0369 memory: 4652 grad_norm: 2.8589 loss: 4.4528 loss_cls: 2.9372 loss_bbox: 1.5156 +2024/10/29 16:42:33 - mmengine - INFO - Epoch(train) [41][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:43:05 time: 0.4220 data_time: 0.0373 memory: 4652 grad_norm: 2.8304 loss: 4.4359 loss_cls: 2.9839 loss_bbox: 1.4521 +2024/10/29 16:42:54 - mmengine - INFO - Epoch(train) [41][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:42:43 time: 0.4234 data_time: 0.0390 memory: 4652 grad_norm: 2.7873 loss: 4.3981 loss_cls: 2.9268 loss_bbox: 1.4713 +2024/10/29 16:43:14 - mmengine - INFO - Epoch(train) [41][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:42:20 time: 0.4125 data_time: 0.0396 memory: 4652 grad_norm: 3.0217 loss: 4.3900 loss_cls: 2.9350 loss_bbox: 1.4550 +2024/10/29 16:43:36 - mmengine - INFO - Epoch(train) [41][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:41:59 time: 0.4284 data_time: 0.0470 memory: 4652 grad_norm: 2.8951 loss: 4.2995 loss_cls: 2.8902 loss_bbox: 1.4093 +2024/10/29 16:43:56 - mmengine - INFO - Epoch(train) [41][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:41:36 time: 0.4101 data_time: 0.0373 memory: 4652 grad_norm: 2.7821 loss: 4.3853 loss_cls: 2.9506 loss_bbox: 1.4347 +2024/10/29 16:44:17 - mmengine - INFO - Epoch(train) [41][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:41:13 time: 0.4177 data_time: 0.0421 memory: 4652 grad_norm: 2.8779 loss: 4.2876 loss_cls: 2.8496 loss_bbox: 1.4380 +2024/10/29 16:44:39 - mmengine - INFO - Epoch(train) [41][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:40:52 time: 0.4268 data_time: 0.0492 memory: 4652 grad_norm: 2.9557 loss: 4.2759 loss_cls: 2.8440 loss_bbox: 1.4319 +2024/10/29 16:44:59 - mmengine - INFO - Epoch(train) [41][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:40:29 time: 0.4109 data_time: 0.0385 memory: 4652 grad_norm: 2.8481 loss: 4.4638 loss_cls: 2.9809 loss_bbox: 1.4828 +2024/10/29 16:45:20 - mmengine - INFO - Epoch(train) [41][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:40:07 time: 0.4206 data_time: 0.0457 memory: 4652 grad_norm: 2.9241 loss: 4.3782 loss_cls: 2.9171 loss_bbox: 1.4611 +2024/10/29 16:45:37 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 16:45:41 - mmengine - INFO - Epoch(train) [41][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:39:44 time: 0.4090 data_time: 0.0383 memory: 4652 grad_norm: 2.7004 loss: 4.2487 loss_cls: 2.8718 loss_bbox: 1.3769 +2024/10/29 16:46:01 - mmengine - INFO - Epoch(train) [41][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:39:21 time: 0.4118 data_time: 0.0446 memory: 4652 grad_norm: 2.8215 loss: 4.4278 loss_cls: 2.9709 loss_bbox: 1.4569 +2024/10/29 16:46:28 - mmengine - INFO - Epoch(train) [41][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:39:11 time: 0.5408 data_time: 0.1115 memory: 4652 grad_norm: 2.9900 loss: 4.3380 loss_cls: 2.8768 loss_bbox: 1.4612 +2024/10/29 16:46:49 - mmengine - INFO - Epoch(train) [41][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:38:47 time: 0.4064 data_time: 0.0384 memory: 4652 grad_norm: 2.8649 loss: 4.4668 loss_cls: 3.0005 loss_bbox: 1.4663 +2024/10/29 16:47:11 - mmengine - INFO - Epoch(train) [41][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:38:27 time: 0.4384 data_time: 0.0358 memory: 4652 grad_norm: 2.8039 loss: 4.3441 loss_cls: 2.8960 loss_bbox: 1.4480 +2024/10/29 16:47:12 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 16:47:12 - mmengine - INFO - Saving checkpoint at 41 epochs +2024/10/29 16:47:38 - mmengine - INFO - Epoch(train) [42][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:38:03 time: 0.4190 data_time: 0.0502 memory: 4652 grad_norm: 2.7042 loss: 4.2731 loss_cls: 2.8693 loss_bbox: 1.4039 +2024/10/29 16:47:59 - mmengine - INFO - Epoch(train) [42][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:37:41 time: 0.4191 data_time: 0.0386 memory: 4652 grad_norm: 3.0565 loss: 4.3769 loss_cls: 2.9041 loss_bbox: 1.4728 +2024/10/29 16:48:20 - mmengine - INFO - Epoch(train) [42][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:37:20 time: 0.4255 data_time: 0.0390 memory: 4652 grad_norm: 2.8994 loss: 4.4024 loss_cls: 2.9178 loss_bbox: 1.4846 +2024/10/29 16:48:41 - mmengine - INFO - Epoch(train) [42][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:36:57 time: 0.4106 data_time: 0.0382 memory: 4652 grad_norm: 3.0970 loss: 4.3457 loss_cls: 2.9051 loss_bbox: 1.4406 +2024/10/29 16:49:02 - mmengine - INFO - Epoch(train) [42][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:36:36 time: 0.4337 data_time: 0.0506 memory: 4652 grad_norm: 2.7868 loss: 4.3862 loss_cls: 2.9137 loss_bbox: 1.4725 +2024/10/29 16:49:26 - mmengine - INFO - Epoch(train) [42][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:36:19 time: 0.4715 data_time: 0.0974 memory: 4652 grad_norm: 2.8088 loss: 4.3672 loss_cls: 2.9394 loss_bbox: 1.4277 +2024/10/29 16:49:47 - mmengine - INFO - Epoch(train) [42][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:35:57 time: 0.4247 data_time: 0.0396 memory: 4652 grad_norm: 2.8666 loss: 4.3352 loss_cls: 2.9313 loss_bbox: 1.4039 +2024/10/29 16:50:09 - mmengine - INFO - Epoch(train) [42][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:35:36 time: 0.4283 data_time: 0.0399 memory: 4652 grad_norm: 2.8379 loss: 4.4295 loss_cls: 2.9666 loss_bbox: 1.4629 +2024/10/29 16:50:29 - mmengine - INFO - Epoch(train) [42][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:35:13 time: 0.4115 data_time: 0.0400 memory: 4652 grad_norm: 2.7992 loss: 4.3086 loss_cls: 2.8967 loss_bbox: 1.4119 +2024/10/29 16:50:51 - mmengine - INFO - Epoch(train) [42][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:34:53 time: 0.4410 data_time: 0.0466 memory: 4652 grad_norm: 2.8408 loss: 4.4204 loss_cls: 2.9466 loss_bbox: 1.4738 +2024/10/29 16:51:12 - mmengine - INFO - Epoch(train) [42][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:34:31 time: 0.4167 data_time: 0.0386 memory: 4652 grad_norm: 2.7681 loss: 4.3018 loss_cls: 2.8954 loss_bbox: 1.4063 +2024/10/29 16:51:33 - mmengine - INFO - Epoch(train) [42][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:34:09 time: 0.4258 data_time: 0.0382 memory: 4652 grad_norm: 3.0114 loss: 4.3556 loss_cls: 2.8857 loss_bbox: 1.4699 +2024/10/29 16:51:55 - mmengine - INFO - Epoch(train) [42][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:33:48 time: 0.4316 data_time: 0.0398 memory: 4652 grad_norm: 2.8490 loss: 4.3939 loss_cls: 2.9004 loss_bbox: 1.4935 +2024/10/29 16:52:16 - mmengine - INFO - Epoch(train) [42][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:33:26 time: 0.4225 data_time: 0.0410 memory: 4652 grad_norm: 2.9854 loss: 4.3127 loss_cls: 2.8943 loss_bbox: 1.4184 +2024/10/29 16:52:39 - mmengine - INFO - Epoch(train) [42][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:33:07 time: 0.4487 data_time: 0.0451 memory: 4652 grad_norm: 2.8307 loss: 4.3841 loss_cls: 2.9098 loss_bbox: 1.4742 +2024/10/29 16:52:53 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 16:52:59 - mmengine - INFO - Epoch(train) [42][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:32:44 time: 0.4105 data_time: 0.0383 memory: 4652 grad_norm: 2.5973 loss: 4.4428 loss_cls: 2.9424 loss_bbox: 1.5003 +2024/10/29 16:53:21 - mmengine - INFO - Epoch(train) [42][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:32:24 time: 0.4369 data_time: 0.0398 memory: 4652 grad_norm: 2.7635 loss: 4.3746 loss_cls: 2.9186 loss_bbox: 1.4560 +2024/10/29 16:53:42 - mmengine - INFO - Epoch(train) [42][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:32:02 time: 0.4279 data_time: 0.0437 memory: 4652 grad_norm: 2.9311 loss: 4.4890 loss_cls: 3.0034 loss_bbox: 1.4856 +2024/10/29 16:54:04 - mmengine - INFO - Epoch(train) [42][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:31:42 time: 0.4349 data_time: 0.0371 memory: 4652 grad_norm: 3.0455 loss: 4.3552 loss_cls: 2.9344 loss_bbox: 1.4208 +2024/10/29 16:54:29 - mmengine - INFO - Epoch(train) [42][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:31:27 time: 0.4973 data_time: 0.0971 memory: 4652 grad_norm: 2.8506 loss: 4.3483 loss_cls: 2.9090 loss_bbox: 1.4392 +2024/10/29 16:54:49 - mmengine - INFO - Epoch(train) [42][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:31:04 time: 0.4100 data_time: 0.0374 memory: 4652 grad_norm: 2.7690 loss: 4.4892 loss_cls: 2.9574 loss_bbox: 1.5318 +2024/10/29 16:55:12 - mmengine - INFO - Epoch(train) [42][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:30:44 time: 0.4417 data_time: 0.0512 memory: 4652 grad_norm: 3.0581 loss: 4.3275 loss_cls: 2.9240 loss_bbox: 1.4036 +2024/10/29 16:55:33 - mmengine - INFO - Epoch(train) [42][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:30:22 time: 0.4212 data_time: 0.0376 memory: 4652 grad_norm: 2.8511 loss: 4.3147 loss_cls: 2.8723 loss_bbox: 1.4423 +2024/10/29 16:55:55 - mmengine - INFO - Epoch(train) [42][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:30:02 time: 0.4390 data_time: 0.0444 memory: 4652 grad_norm: 3.1221 loss: 4.3875 loss_cls: 2.9285 loss_bbox: 1.4589 +2024/10/29 16:56:17 - mmengine - INFO - Epoch(train) [42][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:29:42 time: 0.4435 data_time: 0.0459 memory: 4652 grad_norm: 2.7257 loss: 4.2707 loss_cls: 2.8669 loss_bbox: 1.4038 +2024/10/29 16:56:39 - mmengine - INFO - Epoch(train) [42][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:29:22 time: 0.4347 data_time: 0.0438 memory: 4652 grad_norm: 2.8425 loss: 4.3647 loss_cls: 2.9344 loss_bbox: 1.4303 +2024/10/29 16:57:00 - mmengine - INFO - Epoch(train) [42][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:29:01 time: 0.4322 data_time: 0.0388 memory: 4652 grad_norm: 2.8062 loss: 4.3353 loss_cls: 2.9384 loss_bbox: 1.3969 +2024/10/29 16:57:22 - mmengine - INFO - Epoch(train) [42][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:28:40 time: 0.4336 data_time: 0.0556 memory: 4652 grad_norm: 2.7004 loss: 4.3257 loss_cls: 2.9014 loss_bbox: 1.4243 +2024/10/29 16:57:43 - mmengine - INFO - Epoch(train) [42][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:28:19 time: 0.4295 data_time: 0.0378 memory: 4652 grad_norm: 2.7420 loss: 4.3128 loss_cls: 2.9153 loss_bbox: 1.3975 +2024/10/29 16:58:05 - mmengine - INFO - Epoch(train) [42][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:27:58 time: 0.4350 data_time: 0.0372 memory: 4652 grad_norm: 2.9407 loss: 4.3664 loss_cls: 2.9020 loss_bbox: 1.4644 +2024/10/29 16:58:26 - mmengine - INFO - Epoch(train) [42][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:27:37 time: 0.4258 data_time: 0.0377 memory: 4652 grad_norm: 2.8674 loss: 4.3234 loss_cls: 2.9010 loss_bbox: 1.4224 +2024/10/29 16:58:48 - mmengine - INFO - Epoch(train) [42][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:27:17 time: 0.4401 data_time: 0.0407 memory: 4652 grad_norm: 2.8298 loss: 4.3057 loss_cls: 2.8772 loss_bbox: 1.4285 +2024/10/29 16:59:10 - mmengine - INFO - Epoch(train) [42][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:26:55 time: 0.4282 data_time: 0.0382 memory: 4652 grad_norm: 2.8736 loss: 4.3391 loss_cls: 2.9087 loss_bbox: 1.4304 +2024/10/29 16:59:31 - mmengine - INFO - Epoch(train) [42][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:26:34 time: 0.4275 data_time: 0.0387 memory: 4652 grad_norm: 2.7474 loss: 4.3826 loss_cls: 2.9188 loss_bbox: 1.4638 +2024/10/29 16:59:53 - mmengine - INFO - Epoch(train) [42][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:26:13 time: 0.4347 data_time: 0.0462 memory: 4652 grad_norm: 2.8366 loss: 4.2431 loss_cls: 2.8675 loss_bbox: 1.3756 +2024/10/29 17:00:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 17:00:15 - mmengine - INFO - Epoch(train) [42][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:25:53 time: 0.4336 data_time: 0.0455 memory: 4652 grad_norm: 3.0154 loss: 4.4303 loss_cls: 2.9431 loss_bbox: 1.4872 +2024/10/29 17:00:37 - mmengine - INFO - Epoch(train) [42][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:25:33 time: 0.4468 data_time: 0.0406 memory: 4652 grad_norm: 3.1134 loss: 4.2748 loss_cls: 2.8767 loss_bbox: 1.3981 +2024/10/29 17:00:58 - mmengine - INFO - Epoch(train) [42][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:25:12 time: 0.4263 data_time: 0.0400 memory: 4652 grad_norm: 2.9160 loss: 4.4054 loss_cls: 2.9307 loss_bbox: 1.4746 +2024/10/29 17:01:20 - mmengine - INFO - Epoch(train) [42][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:24:51 time: 0.4306 data_time: 0.0376 memory: 4652 grad_norm: 2.7983 loss: 4.3929 loss_cls: 2.9326 loss_bbox: 1.4603 +2024/10/29 17:01:42 - mmengine - INFO - Epoch(train) [42][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:24:31 time: 0.4465 data_time: 0.0445 memory: 4652 grad_norm: 2.6908 loss: 4.4019 loss_cls: 2.9210 loss_bbox: 1.4809 +2024/10/29 17:02:04 - mmengine - INFO - Epoch(train) [42][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:24:10 time: 0.4338 data_time: 0.0433 memory: 4652 grad_norm: 2.6598 loss: 4.3902 loss_cls: 2.9370 loss_bbox: 1.4532 +2024/10/29 17:02:27 - mmengine - INFO - Epoch(train) [42][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:23:51 time: 0.4523 data_time: 0.0399 memory: 4652 grad_norm: 3.0278 loss: 4.3702 loss_cls: 2.9014 loss_bbox: 1.4689 +2024/10/29 17:02:49 - mmengine - INFO - Epoch(train) [42][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:23:31 time: 0.4411 data_time: 0.0440 memory: 4652 grad_norm: 3.0204 loss: 4.4203 loss_cls: 2.9529 loss_bbox: 1.4674 +2024/10/29 17:03:11 - mmengine - INFO - Epoch(train) [42][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:23:12 time: 0.4471 data_time: 0.0392 memory: 4652 grad_norm: 2.8331 loss: 4.3594 loss_cls: 2.9286 loss_bbox: 1.4308 +2024/10/29 17:03:33 - mmengine - INFO - Epoch(train) [42][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:22:52 time: 0.4382 data_time: 0.0443 memory: 4652 grad_norm: 2.8232 loss: 4.3723 loss_cls: 2.8995 loss_bbox: 1.4728 +2024/10/29 17:03:54 - mmengine - INFO - Epoch(train) [42][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:22:30 time: 0.4278 data_time: 0.0366 memory: 4652 grad_norm: 2.9844 loss: 4.4009 loss_cls: 2.9469 loss_bbox: 1.4540 +2024/10/29 17:04:17 - mmengine - INFO - Epoch(train) [42][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:22:12 time: 0.4599 data_time: 0.0503 memory: 4652 grad_norm: 2.9362 loss: 4.3640 loss_cls: 2.9145 loss_bbox: 1.4495 +2024/10/29 17:04:39 - mmengine - INFO - Epoch(train) [42][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:21:51 time: 0.4276 data_time: 0.0366 memory: 4652 grad_norm: 2.8969 loss: 4.3326 loss_cls: 2.8952 loss_bbox: 1.4373 +2024/10/29 17:05:01 - mmengine - INFO - Epoch(train) [42][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:21:32 time: 0.4539 data_time: 0.0360 memory: 4652 grad_norm: 2.8569 loss: 4.4028 loss_cls: 2.9404 loss_bbox: 1.4624 +2024/10/29 17:05:24 - mmengine - INFO - Epoch(train) [42][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:21:13 time: 0.4516 data_time: 0.0469 memory: 4652 grad_norm: 2.8957 loss: 4.4147 loss_cls: 2.9512 loss_bbox: 1.4635 +2024/10/29 17:05:46 - mmengine - INFO - Epoch(train) [42][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:20:52 time: 0.4319 data_time: 0.0350 memory: 4652 grad_norm: 2.8850 loss: 4.3270 loss_cls: 2.8432 loss_bbox: 1.4838 +2024/10/29 17:06:07 - mmengine - INFO - Epoch(train) [42][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:20:31 time: 0.4291 data_time: 0.0352 memory: 4652 grad_norm: 2.9437 loss: 4.3537 loss_cls: 2.8849 loss_bbox: 1.4688 +2024/10/29 17:06:29 - mmengine - INFO - Epoch(train) [42][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:20:11 time: 0.4412 data_time: 0.0489 memory: 4652 grad_norm: 3.1257 loss: 4.4385 loss_cls: 2.9410 loss_bbox: 1.4975 +2024/10/29 17:06:52 - mmengine - INFO - Epoch(train) [42][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:19:52 time: 0.4535 data_time: 0.0467 memory: 4652 grad_norm: 2.9119 loss: 4.3933 loss_cls: 2.9536 loss_bbox: 1.4397 +2024/10/29 17:07:14 - mmengine - INFO - Epoch(train) [42][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:19:32 time: 0.4418 data_time: 0.0390 memory: 4652 grad_norm: 2.9754 loss: 4.3320 loss_cls: 2.8953 loss_bbox: 1.4367 +2024/10/29 17:07:30 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 17:07:36 - mmengine - INFO - Epoch(train) [42][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:19:12 time: 0.4463 data_time: 0.0395 memory: 4652 grad_norm: 2.9140 loss: 4.2918 loss_cls: 2.8669 loss_bbox: 1.4249 +2024/10/29 17:07:59 - mmengine - INFO - Epoch(train) [42][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:18:53 time: 0.4508 data_time: 0.0375 memory: 4652 grad_norm: 3.0854 loss: 4.3131 loss_cls: 2.8792 loss_bbox: 1.4338 +2024/10/29 17:08:20 - mmengine - INFO - Epoch(train) [42][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:18:33 time: 0.4341 data_time: 0.0431 memory: 4652 grad_norm: 2.8265 loss: 4.3919 loss_cls: 2.9280 loss_bbox: 1.4639 +2024/10/29 17:08:43 - mmengine - INFO - Epoch(train) [42][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:18:13 time: 0.4467 data_time: 0.0367 memory: 4652 grad_norm: 3.2153 loss: 4.2880 loss_cls: 2.8847 loss_bbox: 1.4033 +2024/10/29 17:09:05 - mmengine - INFO - Epoch(train) [42][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:17:53 time: 0.4430 data_time: 0.0370 memory: 4652 grad_norm: 2.7419 loss: 4.4041 loss_cls: 2.9740 loss_bbox: 1.4302 +2024/10/29 17:09:27 - mmengine - INFO - Epoch(train) [42][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:17:33 time: 0.4370 data_time: 0.0445 memory: 4652 grad_norm: 2.9040 loss: 4.3429 loss_cls: 2.8999 loss_bbox: 1.4430 +2024/10/29 17:09:28 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 17:09:28 - mmengine - INFO - Saving checkpoint at 42 epochs +2024/10/29 17:09:56 - mmengine - INFO - Epoch(train) [43][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:17:11 time: 0.4424 data_time: 0.0584 memory: 4652 grad_norm: 2.7905 loss: 4.4344 loss_cls: 2.9388 loss_bbox: 1.4956 +2024/10/29 17:10:17 - mmengine - INFO - Epoch(train) [43][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:16:49 time: 0.4255 data_time: 0.0464 memory: 4652 grad_norm: 2.8221 loss: 4.3627 loss_cls: 2.9169 loss_bbox: 1.4457 +2024/10/29 17:10:39 - mmengine - INFO - Epoch(train) [43][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:16:28 time: 0.4280 data_time: 0.0424 memory: 4652 grad_norm: 2.7564 loss: 4.4501 loss_cls: 2.9334 loss_bbox: 1.5166 +2024/10/29 17:11:01 - mmengine - INFO - Epoch(train) [43][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:16:08 time: 0.4394 data_time: 0.0495 memory: 4652 grad_norm: 2.7133 loss: 4.3213 loss_cls: 2.9175 loss_bbox: 1.4038 +2024/10/29 17:11:22 - mmengine - INFO - Epoch(train) [43][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:15:46 time: 0.4222 data_time: 0.0411 memory: 4652 grad_norm: 3.0083 loss: 4.3181 loss_cls: 2.8918 loss_bbox: 1.4263 +2024/10/29 17:11:43 - mmengine - INFO - Epoch(train) [43][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:15:25 time: 0.4285 data_time: 0.0394 memory: 4652 grad_norm: 2.9600 loss: 4.2839 loss_cls: 2.8571 loss_bbox: 1.4267 +2024/10/29 17:12:05 - mmengine - INFO - Epoch(train) [43][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:15:03 time: 0.4276 data_time: 0.0462 memory: 4652 grad_norm: 2.6826 loss: 4.2969 loss_cls: 2.8678 loss_bbox: 1.4292 +2024/10/29 17:12:27 - mmengine - INFO - Epoch(train) [43][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:14:44 time: 0.4476 data_time: 0.0629 memory: 4652 grad_norm: 3.0406 loss: 4.4512 loss_cls: 2.9772 loss_bbox: 1.4740 +2024/10/29 17:12:49 - mmengine - INFO - Epoch(train) [43][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:14:22 time: 0.4287 data_time: 0.0474 memory: 4652 grad_norm: 3.0048 loss: 4.3856 loss_cls: 2.8983 loss_bbox: 1.4873 +2024/10/29 17:13:10 - mmengine - INFO - Epoch(train) [43][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:14:02 time: 0.4343 data_time: 0.0406 memory: 4652 grad_norm: 2.8306 loss: 4.4540 loss_cls: 2.9463 loss_bbox: 1.5077 +2024/10/29 17:13:32 - mmengine - INFO - Epoch(train) [43][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:13:40 time: 0.4268 data_time: 0.0467 memory: 4652 grad_norm: 2.8962 loss: 4.4523 loss_cls: 2.9839 loss_bbox: 1.4684 +2024/10/29 17:13:52 - mmengine - INFO - Epoch(train) [43][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:13:18 time: 0.4157 data_time: 0.0388 memory: 4652 grad_norm: 2.9076 loss: 4.3391 loss_cls: 2.9431 loss_bbox: 1.3960 +2024/10/29 17:14:15 - mmengine - INFO - Epoch(train) [43][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:12:59 time: 0.4526 data_time: 0.0450 memory: 4652 grad_norm: 2.8261 loss: 4.3274 loss_cls: 2.9188 loss_bbox: 1.4086 +2024/10/29 17:14:36 - mmengine - INFO - Epoch(train) [43][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:12:37 time: 0.4269 data_time: 0.0381 memory: 4652 grad_norm: 3.0714 loss: 4.3118 loss_cls: 2.8803 loss_bbox: 1.4315 +2024/10/29 17:14:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 17:14:58 - mmengine - INFO - Epoch(train) [43][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:12:16 time: 0.4288 data_time: 0.0388 memory: 4652 grad_norm: 2.7733 loss: 4.4030 loss_cls: 2.9139 loss_bbox: 1.4891 +2024/10/29 17:15:20 - mmengine - INFO - Epoch(train) [43][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:11:56 time: 0.4392 data_time: 0.0413 memory: 4652 grad_norm: 2.7913 loss: 4.3533 loss_cls: 2.9417 loss_bbox: 1.4116 +2024/10/29 17:15:41 - mmengine - INFO - Epoch(train) [43][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:11:33 time: 0.4172 data_time: 0.0383 memory: 4652 grad_norm: 3.0289 loss: 4.4036 loss_cls: 2.9507 loss_bbox: 1.4529 +2024/10/29 17:16:02 - mmengine - INFO - Epoch(train) [43][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:11:13 time: 0.4328 data_time: 0.0412 memory: 4652 grad_norm: 2.7174 loss: 4.3307 loss_cls: 2.8932 loss_bbox: 1.4374 +2024/10/29 17:16:28 - mmengine - INFO - Epoch(train) [43][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:10:59 time: 0.5082 data_time: 0.1232 memory: 4652 grad_norm: 2.8176 loss: 4.3410 loss_cls: 2.9084 loss_bbox: 1.4326 +2024/10/29 17:16:49 - mmengine - INFO - Epoch(train) [43][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:10:38 time: 0.4289 data_time: 0.0388 memory: 4652 grad_norm: 2.8699 loss: 4.2940 loss_cls: 2.8746 loss_bbox: 1.4194 +2024/10/29 17:17:11 - mmengine - INFO - Epoch(train) [43][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:10:18 time: 0.4424 data_time: 0.0386 memory: 4652 grad_norm: 2.8771 loss: 4.3213 loss_cls: 2.8985 loss_bbox: 1.4228 +2024/10/29 17:17:32 - mmengine - INFO - Epoch(train) [43][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:09:55 time: 0.4166 data_time: 0.0393 memory: 4652 grad_norm: 2.9436 loss: 4.3063 loss_cls: 2.8712 loss_bbox: 1.4351 +2024/10/29 17:17:54 - mmengine - INFO - Epoch(train) [43][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:09:35 time: 0.4383 data_time: 0.0410 memory: 4652 grad_norm: 2.8654 loss: 4.3840 loss_cls: 2.9199 loss_bbox: 1.4641 +2024/10/29 17:18:16 - mmengine - INFO - Epoch(train) [43][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:09:14 time: 0.4280 data_time: 0.0473 memory: 4652 grad_norm: 2.9766 loss: 4.4102 loss_cls: 2.9220 loss_bbox: 1.4881 +2024/10/29 17:18:37 - mmengine - INFO - Epoch(train) [43][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:08:53 time: 0.4334 data_time: 0.0429 memory: 4652 grad_norm: 2.6704 loss: 4.4295 loss_cls: 2.9377 loss_bbox: 1.4918 +2024/10/29 17:18:59 - mmengine - INFO - Epoch(train) [43][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:08:31 time: 0.4263 data_time: 0.0510 memory: 4652 grad_norm: 3.0463 loss: 4.3397 loss_cls: 2.9194 loss_bbox: 1.4204 +2024/10/29 17:19:19 - mmengine - INFO - Epoch(train) [43][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:08:09 time: 0.4186 data_time: 0.0370 memory: 4652 grad_norm: 3.1070 loss: 4.3152 loss_cls: 2.9114 loss_bbox: 1.4039 +2024/10/29 17:19:41 - mmengine - INFO - Epoch(train) [43][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:07:48 time: 0.4304 data_time: 0.0452 memory: 4652 grad_norm: 2.6806 loss: 4.3991 loss_cls: 2.9275 loss_bbox: 1.4716 +2024/10/29 17:20:02 - mmengine - INFO - Epoch(train) [43][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:07:25 time: 0.4151 data_time: 0.0407 memory: 4652 grad_norm: 2.8404 loss: 4.4259 loss_cls: 2.9265 loss_bbox: 1.4994 +2024/10/29 17:20:27 - mmengine - INFO - Epoch(train) [43][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:07:12 time: 0.5074 data_time: 0.1328 memory: 4652 grad_norm: 2.8259 loss: 4.3952 loss_cls: 2.9290 loss_bbox: 1.4662 +2024/10/29 17:20:50 - mmengine - INFO - Epoch(train) [43][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:06:52 time: 0.4485 data_time: 0.0483 memory: 4652 grad_norm: 2.9520 loss: 4.3466 loss_cls: 2.9619 loss_bbox: 1.3847 +2024/10/29 17:21:10 - mmengine - INFO - Epoch(train) [43][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:06:29 time: 0.4147 data_time: 0.0376 memory: 4652 grad_norm: 2.8789 loss: 4.2113 loss_cls: 2.8344 loss_bbox: 1.3769 +2024/10/29 17:21:33 - mmengine - INFO - Epoch(train) [43][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:06:11 time: 0.4563 data_time: 0.0439 memory: 4652 grad_norm: 2.8399 loss: 4.3632 loss_cls: 2.9105 loss_bbox: 1.4528 +2024/10/29 17:21:54 - mmengine - INFO - Epoch(train) [43][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:05:48 time: 0.4119 data_time: 0.0377 memory: 4652 grad_norm: 2.6915 loss: 4.3839 loss_cls: 2.9035 loss_bbox: 1.4804 +2024/10/29 17:22:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 17:22:15 - mmengine - INFO - Epoch(train) [43][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:05:26 time: 0.4206 data_time: 0.0375 memory: 4652 grad_norm: 3.1350 loss: 4.3109 loss_cls: 2.8989 loss_bbox: 1.4120 +2024/10/29 17:22:37 - mmengine - INFO - Epoch(train) [43][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:05:05 time: 0.4353 data_time: 0.0437 memory: 4652 grad_norm: 2.9489 loss: 4.3723 loss_cls: 2.9083 loss_bbox: 1.4639 +2024/10/29 17:22:58 - mmengine - INFO - Epoch(train) [43][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:04:43 time: 0.4224 data_time: 0.0429 memory: 4652 grad_norm: 2.6722 loss: 4.4386 loss_cls: 2.9626 loss_bbox: 1.4760 +2024/10/29 17:23:20 - mmengine - INFO - Epoch(train) [43][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:04:23 time: 0.4365 data_time: 0.0423 memory: 4652 grad_norm: 2.7330 loss: 4.4058 loss_cls: 2.9319 loss_bbox: 1.4739 +2024/10/29 17:23:41 - mmengine - INFO - Epoch(train) [43][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:04:01 time: 0.4260 data_time: 0.0500 memory: 4652 grad_norm: 2.8245 loss: 4.3732 loss_cls: 2.9048 loss_bbox: 1.4684 +2024/10/29 17:24:03 - mmengine - INFO - Epoch(train) [43][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:03:41 time: 0.4393 data_time: 0.0441 memory: 4652 grad_norm: 2.9406 loss: 4.3845 loss_cls: 2.9432 loss_bbox: 1.4413 +2024/10/29 17:24:27 - mmengine - INFO - Epoch(train) [43][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:03:25 time: 0.4802 data_time: 0.0887 memory: 4652 grad_norm: 2.8247 loss: 4.4253 loss_cls: 2.9086 loss_bbox: 1.5166 +2024/10/29 17:24:48 - mmengine - INFO - Epoch(train) [43][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:03:03 time: 0.4203 data_time: 0.0409 memory: 4652 grad_norm: 2.8615 loss: 4.3485 loss_cls: 2.8880 loss_bbox: 1.4605 +2024/10/29 17:25:10 - mmengine - INFO - Epoch(train) [43][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:02:43 time: 0.4472 data_time: 0.0473 memory: 4652 grad_norm: 2.8496 loss: 4.4519 loss_cls: 2.9756 loss_bbox: 1.4764 +2024/10/29 17:25:31 - mmengine - INFO - Epoch(train) [43][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:02:20 time: 0.4156 data_time: 0.0412 memory: 4652 grad_norm: 2.8652 loss: 4.3175 loss_cls: 2.8833 loss_bbox: 1.4342 +2024/10/29 17:25:53 - mmengine - INFO - Epoch(train) [43][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:02:01 time: 0.4486 data_time: 0.0429 memory: 4652 grad_norm: 2.6883 loss: 4.4208 loss_cls: 2.9367 loss_bbox: 1.4841 +2024/10/29 17:26:14 - mmengine - INFO - Epoch(train) [43][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:01:39 time: 0.4174 data_time: 0.0417 memory: 4652 grad_norm: 2.9629 loss: 4.4041 loss_cls: 2.9578 loss_bbox: 1.4463 +2024/10/29 17:26:36 - mmengine - INFO - Epoch(train) [43][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:01:18 time: 0.4386 data_time: 0.0437 memory: 4652 grad_norm: 2.8653 loss: 4.3539 loss_cls: 2.8945 loss_bbox: 1.4594 +2024/10/29 17:26:58 - mmengine - INFO - Epoch(train) [43][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:00:58 time: 0.4414 data_time: 0.0429 memory: 4652 grad_norm: 2.7094 loss: 4.3190 loss_cls: 2.8928 loss_bbox: 1.4262 +2024/10/29 17:27:20 - mmengine - INFO - Epoch(train) [43][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:00:37 time: 0.4244 data_time: 0.0458 memory: 4652 grad_norm: 2.7682 loss: 4.4015 loss_cls: 2.9295 loss_bbox: 1.4720 +2024/10/29 17:27:42 - mmengine - INFO - Epoch(train) [43][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 4:00:17 time: 0.4471 data_time: 0.0458 memory: 4652 grad_norm: 2.8280 loss: 4.3460 loss_cls: 2.9177 loss_bbox: 1.4283 +2024/10/29 17:28:04 - mmengine - INFO - Epoch(train) [43][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:59:56 time: 0.4351 data_time: 0.0400 memory: 4652 grad_norm: 2.7559 loss: 4.2954 loss_cls: 2.8846 loss_bbox: 1.4108 +2024/10/29 17:28:27 - mmengine - INFO - Epoch(train) [43][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:59:39 time: 0.4747 data_time: 0.0989 memory: 4652 grad_norm: 2.8195 loss: 4.2831 loss_cls: 2.8750 loss_bbox: 1.4081 +2024/10/29 17:28:50 - mmengine - INFO - Epoch(train) [43][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:59:20 time: 0.4496 data_time: 0.0414 memory: 4652 grad_norm: 2.8204 loss: 4.4195 loss_cls: 2.9413 loss_bbox: 1.4782 +2024/10/29 17:29:11 - mmengine - INFO - Epoch(train) [43][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:58:58 time: 0.4194 data_time: 0.0405 memory: 4652 grad_norm: 2.7707 loss: 4.3976 loss_cls: 2.9122 loss_bbox: 1.4854 +2024/10/29 17:29:25 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 17:29:34 - mmengine - INFO - Epoch(train) [43][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:58:39 time: 0.4582 data_time: 0.0452 memory: 4652 grad_norm: 2.6900 loss: 4.3428 loss_cls: 2.9323 loss_bbox: 1.4105 +2024/10/29 17:29:55 - mmengine - INFO - Epoch(train) [43][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:58:17 time: 0.4197 data_time: 0.0398 memory: 4652 grad_norm: 2.8215 loss: 4.4415 loss_cls: 2.9537 loss_bbox: 1.4878 +2024/10/29 17:30:16 - mmengine - INFO - Epoch(train) [43][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:57:56 time: 0.4305 data_time: 0.0400 memory: 4652 grad_norm: 2.8339 loss: 4.3996 loss_cls: 2.9633 loss_bbox: 1.4363 +2024/10/29 17:30:38 - mmengine - INFO - Epoch(train) [43][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:57:35 time: 0.4341 data_time: 0.0386 memory: 4652 grad_norm: 2.9164 loss: 4.3827 loss_cls: 2.9219 loss_bbox: 1.4607 +2024/10/29 17:30:59 - mmengine - INFO - Epoch(train) [43][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:57:12 time: 0.4091 data_time: 0.0415 memory: 4652 grad_norm: 2.8949 loss: 4.3580 loss_cls: 2.9136 loss_bbox: 1.4444 +2024/10/29 17:31:20 - mmengine - INFO - Epoch(train) [43][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:56:52 time: 0.4369 data_time: 0.0395 memory: 4652 grad_norm: 2.8427 loss: 4.3110 loss_cls: 2.8868 loss_bbox: 1.4242 +2024/10/29 17:31:41 - mmengine - INFO - Epoch(train) [43][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:56:29 time: 0.4122 data_time: 0.0398 memory: 4652 grad_norm: 2.9958 loss: 4.2887 loss_cls: 2.8593 loss_bbox: 1.4294 +2024/10/29 17:31:43 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 17:31:43 - mmengine - INFO - Saving checkpoint at 43 epochs +2024/10/29 17:32:11 - mmengine - INFO - Epoch(train) [44][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:56:07 time: 0.4380 data_time: 0.0511 memory: 4652 grad_norm: 2.5748 loss: 4.3816 loss_cls: 2.8942 loss_bbox: 1.4874 +2024/10/29 17:32:33 - mmengine - INFO - Epoch(train) [44][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:55:45 time: 0.4278 data_time: 0.0394 memory: 4652 grad_norm: 2.9100 loss: 4.3759 loss_cls: 2.9130 loss_bbox: 1.4629 +2024/10/29 17:32:53 - mmengine - INFO - Epoch(train) [44][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:55:22 time: 0.4043 data_time: 0.0347 memory: 4652 grad_norm: 2.6954 loss: 4.3491 loss_cls: 2.9119 loss_bbox: 1.4372 +2024/10/29 17:33:16 - mmengine - INFO - Epoch(train) [44][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:55:03 time: 0.4506 data_time: 0.0392 memory: 4652 grad_norm: 2.7651 loss: 4.3130 loss_cls: 2.8851 loss_bbox: 1.4279 +2024/10/29 17:33:36 - mmengine - INFO - Epoch(train) [44][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:54:39 time: 0.4061 data_time: 0.0376 memory: 4652 grad_norm: 2.8850 loss: 4.4229 loss_cls: 2.9357 loss_bbox: 1.4873 +2024/10/29 17:33:57 - mmengine - INFO - Epoch(train) [44][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:54:17 time: 0.4249 data_time: 0.0379 memory: 4652 grad_norm: 2.7881 loss: 4.2954 loss_cls: 2.8927 loss_bbox: 1.4027 +2024/10/29 17:34:19 - mmengine - INFO - Epoch(train) [44][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:53:57 time: 0.4347 data_time: 0.0407 memory: 4652 grad_norm: 2.9064 loss: 4.4279 loss_cls: 2.9386 loss_bbox: 1.4893 +2024/10/29 17:34:39 - mmengine - INFO - Epoch(train) [44][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:53:33 time: 0.4004 data_time: 0.0369 memory: 4652 grad_norm: 2.8908 loss: 4.3589 loss_cls: 2.9295 loss_bbox: 1.4294 +2024/10/29 17:35:01 - mmengine - INFO - Epoch(train) [44][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:53:13 time: 0.4465 data_time: 0.0442 memory: 4652 grad_norm: 2.7374 loss: 4.2891 loss_cls: 2.8744 loss_bbox: 1.4147 +2024/10/29 17:35:26 - mmengine - INFO - Epoch(train) [44][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:52:59 time: 0.5001 data_time: 0.1326 memory: 4652 grad_norm: 2.7711 loss: 4.3500 loss_cls: 2.9106 loss_bbox: 1.4394 +2024/10/29 17:35:48 - mmengine - INFO - Epoch(train) [44][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:52:38 time: 0.4350 data_time: 0.0494 memory: 4652 grad_norm: 2.9560 loss: 4.3265 loss_cls: 2.9356 loss_bbox: 1.3909 +2024/10/29 17:36:09 - mmengine - INFO - Epoch(train) [44][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:52:16 time: 0.4283 data_time: 0.0453 memory: 4652 grad_norm: 2.6108 loss: 4.3280 loss_cls: 2.9046 loss_bbox: 1.4234 +2024/10/29 17:36:30 - mmengine - INFO - Epoch(train) [44][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:51:54 time: 0.4167 data_time: 0.0432 memory: 4652 grad_norm: 3.0893 loss: 4.3064 loss_cls: 2.9184 loss_bbox: 1.3880 +2024/10/29 17:36:43 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 17:36:52 - mmengine - INFO - Epoch(train) [44][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:51:33 time: 0.4335 data_time: 0.0407 memory: 4652 grad_norm: 2.8510 loss: 4.3137 loss_cls: 2.8968 loss_bbox: 1.4169 +2024/10/29 17:37:13 - mmengine - INFO - Epoch(train) [44][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:51:11 time: 0.4186 data_time: 0.0382 memory: 4652 grad_norm: 2.8793 loss: 4.3769 loss_cls: 2.9475 loss_bbox: 1.4294 +2024/10/29 17:37:35 - mmengine - INFO - Epoch(train) [44][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:50:50 time: 0.4372 data_time: 0.0453 memory: 4652 grad_norm: 2.9000 loss: 4.3547 loss_cls: 2.9156 loss_bbox: 1.4391 +2024/10/29 17:37:56 - mmengine - INFO - Epoch(train) [44][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:50:29 time: 0.4267 data_time: 0.0386 memory: 4652 grad_norm: 2.9074 loss: 4.3849 loss_cls: 2.9147 loss_bbox: 1.4701 +2024/10/29 17:38:17 - mmengine - INFO - Epoch(train) [44][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:50:07 time: 0.4181 data_time: 0.0389 memory: 4652 grad_norm: 2.8350 loss: 4.2866 loss_cls: 2.8769 loss_bbox: 1.4097 +2024/10/29 17:38:38 - mmengine - INFO - Epoch(train) [44][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:49:45 time: 0.4274 data_time: 0.0423 memory: 4652 grad_norm: 2.9801 loss: 4.3793 loss_cls: 2.9008 loss_bbox: 1.4784 +2024/10/29 17:39:00 - mmengine - INFO - Epoch(train) [44][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:49:23 time: 0.4231 data_time: 0.0377 memory: 4652 grad_norm: 2.8687 loss: 4.3087 loss_cls: 2.8733 loss_bbox: 1.4354 +2024/10/29 17:39:21 - mmengine - INFO - Epoch(train) [44][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:49:02 time: 0.4268 data_time: 0.0440 memory: 4652 grad_norm: 2.9148 loss: 4.3010 loss_cls: 2.8849 loss_bbox: 1.4161 +2024/10/29 17:39:42 - mmengine - INFO - Epoch(train) [44][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:48:39 time: 0.4141 data_time: 0.0414 memory: 4652 grad_norm: 2.9040 loss: 4.3500 loss_cls: 2.9207 loss_bbox: 1.4294 +2024/10/29 17:40:02 - mmengine - INFO - Epoch(train) [44][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:48:17 time: 0.4131 data_time: 0.0383 memory: 4652 grad_norm: 2.8472 loss: 4.3602 loss_cls: 2.9342 loss_bbox: 1.4259 +2024/10/29 17:40:28 - mmengine - INFO - Epoch(train) [44][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:48:04 time: 0.5228 data_time: 0.1536 memory: 4652 grad_norm: 2.8679 loss: 4.4264 loss_cls: 2.9393 loss_bbox: 1.4871 +2024/10/29 17:40:50 - mmengine - INFO - Epoch(train) [44][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:47:43 time: 0.4275 data_time: 0.0431 memory: 4652 grad_norm: 2.7239 loss: 4.3477 loss_cls: 2.8680 loss_bbox: 1.4797 +2024/10/29 17:41:11 - mmengine - INFO - Epoch(train) [44][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:47:22 time: 0.4332 data_time: 0.0455 memory: 4652 grad_norm: 2.8548 loss: 4.3219 loss_cls: 2.9313 loss_bbox: 1.3905 +2024/10/29 17:41:32 - mmengine - INFO - Epoch(train) [44][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:46:59 time: 0.4161 data_time: 0.0435 memory: 4652 grad_norm: 3.1410 loss: 4.3497 loss_cls: 2.8892 loss_bbox: 1.4605 +2024/10/29 17:41:54 - mmengine - INFO - Epoch(train) [44][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:46:39 time: 0.4377 data_time: 0.0464 memory: 4652 grad_norm: 2.8128 loss: 4.3335 loss_cls: 2.9168 loss_bbox: 1.4167 +2024/10/29 17:42:15 - mmengine - INFO - Epoch(train) [44][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:46:16 time: 0.4177 data_time: 0.0380 memory: 4652 grad_norm: 2.8577 loss: 4.3541 loss_cls: 2.8725 loss_bbox: 1.4816 +2024/10/29 17:42:37 - mmengine - INFO - Epoch(train) [44][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:45:55 time: 0.4288 data_time: 0.0381 memory: 4652 grad_norm: 2.8729 loss: 4.3654 loss_cls: 2.9146 loss_bbox: 1.4507 +2024/10/29 17:42:59 - mmengine - INFO - Epoch(train) [44][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:45:35 time: 0.4429 data_time: 0.0418 memory: 4652 grad_norm: 2.9123 loss: 4.3402 loss_cls: 2.9013 loss_bbox: 1.4389 +2024/10/29 17:43:20 - mmengine - INFO - Epoch(train) [44][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:45:13 time: 0.4208 data_time: 0.0374 memory: 4652 grad_norm: 2.7715 loss: 4.3821 loss_cls: 2.9386 loss_bbox: 1.4435 +2024/10/29 17:43:42 - mmengine - INFO - Epoch(train) [44][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:44:53 time: 0.4405 data_time: 0.0485 memory: 4652 grad_norm: 3.0972 loss: 4.4354 loss_cls: 2.9725 loss_bbox: 1.4629 +2024/10/29 17:43:54 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 17:44:03 - mmengine - INFO - Epoch(train) [44][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:44:31 time: 0.4263 data_time: 0.0452 memory: 4652 grad_norm: 2.7698 loss: 4.2946 loss_cls: 2.8738 loss_bbox: 1.4208 +2024/10/29 17:44:27 - mmengine - INFO - Epoch(train) [44][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:44:14 time: 0.4732 data_time: 0.0848 memory: 4652 grad_norm: 2.8525 loss: 4.3498 loss_cls: 2.8830 loss_bbox: 1.4667 +2024/10/29 17:44:49 - mmengine - INFO - Epoch(train) [44][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:43:54 time: 0.4447 data_time: 0.0489 memory: 4652 grad_norm: 3.1499 loss: 4.3721 loss_cls: 2.8932 loss_bbox: 1.4789 +2024/10/29 17:45:10 - mmengine - INFO - Epoch(train) [44][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:43:33 time: 0.4281 data_time: 0.0421 memory: 4652 grad_norm: 2.9067 loss: 4.3116 loss_cls: 2.9131 loss_bbox: 1.3985 +2024/10/29 17:45:33 - mmengine - INFO - Epoch(train) [44][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:43:13 time: 0.4490 data_time: 0.0379 memory: 4652 grad_norm: 2.7349 loss: 4.4363 loss_cls: 2.9580 loss_bbox: 1.4783 +2024/10/29 17:45:53 - mmengine - INFO - Epoch(train) [44][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:42:50 time: 0.4086 data_time: 0.0382 memory: 4652 grad_norm: 2.7845 loss: 4.4451 loss_cls: 2.9926 loss_bbox: 1.4525 +2024/10/29 17:46:15 - mmengine - INFO - Epoch(train) [44][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:42:30 time: 0.4345 data_time: 0.0451 memory: 4652 grad_norm: 2.9803 loss: 4.4226 loss_cls: 2.9131 loss_bbox: 1.5095 +2024/10/29 17:46:37 - mmengine - INFO - Epoch(train) [44][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:42:08 time: 0.4302 data_time: 0.0384 memory: 4652 grad_norm: 2.7444 loss: 4.3764 loss_cls: 2.9455 loss_bbox: 1.4309 +2024/10/29 17:46:57 - mmengine - INFO - Epoch(train) [44][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:41:45 time: 0.4098 data_time: 0.0391 memory: 4652 grad_norm: 2.9785 loss: 4.4119 loss_cls: 2.9222 loss_bbox: 1.4897 +2024/10/29 17:47:20 - mmengine - INFO - Epoch(train) [44][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:41:26 time: 0.4528 data_time: 0.0459 memory: 4652 grad_norm: 2.8622 loss: 4.3660 loss_cls: 2.9123 loss_bbox: 1.4537 +2024/10/29 17:47:41 - mmengine - INFO - Epoch(train) [44][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:41:04 time: 0.4209 data_time: 0.0430 memory: 4652 grad_norm: 2.7399 loss: 4.3427 loss_cls: 2.8959 loss_bbox: 1.4468 +2024/10/29 17:48:03 - mmengine - INFO - Epoch(train) [44][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:40:44 time: 0.4399 data_time: 0.0393 memory: 4652 grad_norm: 2.9818 loss: 4.3670 loss_cls: 2.9070 loss_bbox: 1.4600 +2024/10/29 17:48:27 - mmengine - INFO - Epoch(train) [44][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:40:28 time: 0.4853 data_time: 0.1018 memory: 4652 grad_norm: 2.7242 loss: 4.3617 loss_cls: 2.9078 loss_bbox: 1.4539 +2024/10/29 17:48:48 - mmengine - INFO - Epoch(train) [44][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:40:06 time: 0.4201 data_time: 0.0384 memory: 4652 grad_norm: 2.8838 loss: 4.2825 loss_cls: 2.8739 loss_bbox: 1.4085 +2024/10/29 17:49:09 - mmengine - INFO - Epoch(train) [44][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:39:44 time: 0.4270 data_time: 0.0387 memory: 4652 grad_norm: 2.9258 loss: 4.4060 loss_cls: 2.9190 loss_bbox: 1.4871 +2024/10/29 17:49:30 - mmengine - INFO - Epoch(train) [44][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:39:22 time: 0.4190 data_time: 0.0421 memory: 4652 grad_norm: 3.1154 loss: 4.4168 loss_cls: 2.9454 loss_bbox: 1.4714 +2024/10/29 17:49:53 - mmengine - INFO - Epoch(train) [44][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:39:02 time: 0.4439 data_time: 0.0412 memory: 4652 grad_norm: 2.9345 loss: 4.3714 loss_cls: 2.8764 loss_bbox: 1.4951 +2024/10/29 17:50:13 - mmengine - INFO - Epoch(train) [44][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:38:39 time: 0.4145 data_time: 0.0401 memory: 4652 grad_norm: 3.0193 loss: 4.3830 loss_cls: 2.9287 loss_bbox: 1.4543 +2024/10/29 17:50:35 - mmengine - INFO - Epoch(train) [44][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:38:18 time: 0.4270 data_time: 0.0409 memory: 4652 grad_norm: 2.8588 loss: 4.2968 loss_cls: 2.8465 loss_bbox: 1.4503 +2024/10/29 17:50:57 - mmengine - INFO - Epoch(train) [44][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:37:58 time: 0.4431 data_time: 0.0419 memory: 4652 grad_norm: 2.9569 loss: 4.4308 loss_cls: 2.9358 loss_bbox: 1.4950 +2024/10/29 17:51:09 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 17:51:18 - mmengine - INFO - Epoch(train) [44][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:37:36 time: 0.4225 data_time: 0.0376 memory: 4652 grad_norm: 2.7602 loss: 4.4149 loss_cls: 2.9263 loss_bbox: 1.4887 +2024/10/29 17:51:40 - mmengine - INFO - Epoch(train) [44][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:37:16 time: 0.4424 data_time: 0.0426 memory: 4652 grad_norm: 2.8154 loss: 4.3347 loss_cls: 2.9125 loss_bbox: 1.4221 +2024/10/29 17:52:02 - mmengine - INFO - Epoch(train) [44][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:36:55 time: 0.4291 data_time: 0.0451 memory: 4652 grad_norm: 2.9751 loss: 4.3998 loss_cls: 2.9346 loss_bbox: 1.4652 +2024/10/29 17:52:23 - mmengine - INFO - Epoch(train) [44][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:36:33 time: 0.4275 data_time: 0.0456 memory: 4652 grad_norm: 2.8008 loss: 4.4205 loss_cls: 2.9609 loss_bbox: 1.4596 +2024/10/29 17:52:45 - mmengine - INFO - Epoch(train) [44][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:36:13 time: 0.4402 data_time: 0.0417 memory: 4652 grad_norm: 2.9739 loss: 4.2809 loss_cls: 2.8878 loss_bbox: 1.3932 +2024/10/29 17:53:06 - mmengine - INFO - Epoch(train) [44][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:35:51 time: 0.4239 data_time: 0.0406 memory: 4652 grad_norm: 2.7860 loss: 4.3436 loss_cls: 2.9189 loss_bbox: 1.4247 +2024/10/29 17:53:28 - mmengine - INFO - Epoch(train) [44][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:35:31 time: 0.4348 data_time: 0.0404 memory: 4652 grad_norm: 2.9471 loss: 4.4293 loss_cls: 2.9468 loss_bbox: 1.4825 +2024/10/29 17:53:48 - mmengine - INFO - Epoch(train) [44][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:35:08 time: 0.4109 data_time: 0.0399 memory: 4652 grad_norm: 2.6744 loss: 4.3441 loss_cls: 2.8769 loss_bbox: 1.4672 +2024/10/29 17:53:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 17:53:50 - mmengine - INFO - Saving checkpoint at 44 epochs +2024/10/29 17:54:16 - mmengine - INFO - Epoch(train) [45][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:34:45 time: 0.4417 data_time: 0.0568 memory: 4652 grad_norm: 2.7309 loss: 4.3593 loss_cls: 2.8875 loss_bbox: 1.4718 +2024/10/29 17:54:39 - mmengine - INFO - Epoch(train) [45][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:34:26 time: 0.4499 data_time: 0.0364 memory: 4652 grad_norm: 3.0510 loss: 4.4084 loss_cls: 2.9577 loss_bbox: 1.4507 +2024/10/29 17:55:01 - mmengine - INFO - Epoch(train) [45][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:34:05 time: 0.4361 data_time: 0.0390 memory: 4652 grad_norm: 2.8295 loss: 4.3907 loss_cls: 2.9507 loss_bbox: 1.4399 +2024/10/29 17:55:23 - mmengine - INFO - Epoch(train) [45][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:33:45 time: 0.4413 data_time: 0.0434 memory: 4652 grad_norm: 2.8535 loss: 4.3109 loss_cls: 2.8686 loss_bbox: 1.4423 +2024/10/29 17:55:44 - mmengine - INFO - Epoch(train) [45][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:33:24 time: 0.4334 data_time: 0.0447 memory: 4652 grad_norm: 2.7968 loss: 4.2941 loss_cls: 2.8847 loss_bbox: 1.4093 +2024/10/29 17:56:06 - mmengine - INFO - Epoch(train) [45][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:33:04 time: 0.4366 data_time: 0.0368 memory: 4652 grad_norm: 3.0647 loss: 4.2692 loss_cls: 2.8632 loss_bbox: 1.4060 +2024/10/29 17:56:28 - mmengine - INFO - Epoch(train) [45][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:32:43 time: 0.4377 data_time: 0.0433 memory: 4652 grad_norm: 2.9143 loss: 4.3367 loss_cls: 2.9035 loss_bbox: 1.4332 +2024/10/29 17:56:50 - mmengine - INFO - Epoch(train) [45][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:32:22 time: 0.4316 data_time: 0.0395 memory: 4652 grad_norm: 3.0560 loss: 4.3860 loss_cls: 2.9184 loss_bbox: 1.4675 +2024/10/29 17:57:12 - mmengine - INFO - Epoch(train) [45][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:32:01 time: 0.4364 data_time: 0.0445 memory: 4652 grad_norm: 2.8478 loss: 4.2920 loss_cls: 2.8683 loss_bbox: 1.4237 +2024/10/29 17:57:33 - mmengine - INFO - Epoch(train) [45][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:31:39 time: 0.4205 data_time: 0.0389 memory: 4652 grad_norm: 2.8539 loss: 4.3226 loss_cls: 2.9062 loss_bbox: 1.4164 +2024/10/29 17:57:55 - mmengine - INFO - Epoch(train) [45][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:31:20 time: 0.4533 data_time: 0.0459 memory: 4652 grad_norm: 2.6817 loss: 4.2937 loss_cls: 2.9051 loss_bbox: 1.3886 +2024/10/29 17:58:17 - mmengine - INFO - Epoch(train) [45][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:30:59 time: 0.4342 data_time: 0.0399 memory: 4652 grad_norm: 3.0479 loss: 4.4276 loss_cls: 2.9743 loss_bbox: 1.4533 +2024/10/29 17:58:28 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 17:58:40 - mmengine - INFO - Epoch(train) [45][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:30:40 time: 0.4514 data_time: 0.0423 memory: 4652 grad_norm: 3.1078 loss: 4.3395 loss_cls: 2.9165 loss_bbox: 1.4230 +2024/10/29 17:59:01 - mmengine - INFO - Epoch(train) [45][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:30:19 time: 0.4268 data_time: 0.0385 memory: 4652 grad_norm: 3.0132 loss: 4.4783 loss_cls: 2.9503 loss_bbox: 1.5280 +2024/10/29 17:59:23 - mmengine - INFO - Epoch(train) [45][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:29:58 time: 0.4401 data_time: 0.0367 memory: 4652 grad_norm: 2.8831 loss: 4.3938 loss_cls: 2.9440 loss_bbox: 1.4498 +2024/10/29 17:59:45 - mmengine - INFO - Epoch(train) [45][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:29:38 time: 0.4442 data_time: 0.0365 memory: 4652 grad_norm: 2.8763 loss: 4.3053 loss_cls: 2.9068 loss_bbox: 1.3985 +2024/10/29 18:00:07 - mmengine - INFO - Epoch(train) [45][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:29:18 time: 0.4381 data_time: 0.0369 memory: 4652 grad_norm: 2.7549 loss: 4.2477 loss_cls: 2.8539 loss_bbox: 1.3938 +2024/10/29 18:00:29 - mmengine - INFO - Epoch(train) [45][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:28:58 time: 0.4443 data_time: 0.0417 memory: 4652 grad_norm: 2.9725 loss: 4.3996 loss_cls: 2.9536 loss_bbox: 1.4460 +2024/10/29 18:00:51 - mmengine - INFO - Epoch(train) [45][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:28:38 time: 0.4431 data_time: 0.0508 memory: 4652 grad_norm: 2.8773 loss: 4.3699 loss_cls: 2.9002 loss_bbox: 1.4697 +2024/10/29 18:01:14 - mmengine - INFO - Epoch(train) [45][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:28:18 time: 0.4420 data_time: 0.0388 memory: 4652 grad_norm: 2.9046 loss: 4.3323 loss_cls: 2.8751 loss_bbox: 1.4572 +2024/10/29 18:01:35 - mmengine - INFO - Epoch(train) [45][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:27:57 time: 0.4351 data_time: 0.0436 memory: 4652 grad_norm: 2.7628 loss: 4.3033 loss_cls: 2.8933 loss_bbox: 1.4100 +2024/10/29 18:01:57 - mmengine - INFO - Epoch(train) [45][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:27:36 time: 0.4310 data_time: 0.0376 memory: 4652 grad_norm: 2.9318 loss: 4.5083 loss_cls: 2.9879 loss_bbox: 1.5204 +2024/10/29 18:02:19 - mmengine - INFO - Epoch(train) [45][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:27:15 time: 0.4389 data_time: 0.0373 memory: 4652 grad_norm: 2.8797 loss: 4.3923 loss_cls: 2.9202 loss_bbox: 1.4721 +2024/10/29 18:02:40 - mmengine - INFO - Epoch(train) [45][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:26:54 time: 0.4224 data_time: 0.0401 memory: 4652 grad_norm: 2.9269 loss: 4.3448 loss_cls: 2.9107 loss_bbox: 1.4341 +2024/10/29 18:03:03 - mmengine - INFO - Epoch(train) [45][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:26:35 time: 0.4622 data_time: 0.0433 memory: 4652 grad_norm: 2.6914 loss: 4.3767 loss_cls: 2.9225 loss_bbox: 1.4543 +2024/10/29 18:03:28 - mmengine - INFO - Epoch(train) [45][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:26:20 time: 0.4952 data_time: 0.1064 memory: 4652 grad_norm: 2.9896 loss: 4.4531 loss_cls: 2.9742 loss_bbox: 1.4790 +2024/10/29 18:03:50 - mmengine - INFO - Epoch(train) [45][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:26:00 time: 0.4446 data_time: 0.0377 memory: 4652 grad_norm: 3.2348 loss: 4.3336 loss_cls: 2.8922 loss_bbox: 1.4414 +2024/10/29 18:04:12 - mmengine - INFO - Epoch(train) [45][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:25:39 time: 0.4380 data_time: 0.0375 memory: 4652 grad_norm: 3.0922 loss: 4.3004 loss_cls: 2.8603 loss_bbox: 1.4401 +2024/10/29 18:04:33 - mmengine - INFO - Epoch(train) [45][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:25:18 time: 0.4253 data_time: 0.0379 memory: 4652 grad_norm: 2.9318 loss: 4.3913 loss_cls: 2.9411 loss_bbox: 1.4501 +2024/10/29 18:04:56 - mmengine - INFO - Epoch(train) [45][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:24:59 time: 0.4638 data_time: 0.0387 memory: 4652 grad_norm: 2.9996 loss: 4.3402 loss_cls: 2.9072 loss_bbox: 1.4330 +2024/10/29 18:05:19 - mmengine - INFO - Epoch(train) [45][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:24:39 time: 0.4430 data_time: 0.0480 memory: 4652 grad_norm: 2.8916 loss: 4.4073 loss_cls: 2.9177 loss_bbox: 1.4896 +2024/10/29 18:05:41 - mmengine - INFO - Epoch(train) [45][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:24:19 time: 0.4407 data_time: 0.0384 memory: 4652 grad_norm: 3.0040 loss: 4.2265 loss_cls: 2.8833 loss_bbox: 1.3433 +2024/10/29 18:05:52 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 18:06:03 - mmengine - INFO - Epoch(train) [45][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:24:00 time: 0.4566 data_time: 0.0427 memory: 4652 grad_norm: 2.8875 loss: 4.3959 loss_cls: 2.9167 loss_bbox: 1.4793 +2024/10/29 18:06:28 - mmengine - INFO - Epoch(train) [45][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:23:44 time: 0.4855 data_time: 0.1030 memory: 4652 grad_norm: 3.0507 loss: 4.3769 loss_cls: 2.9371 loss_bbox: 1.4399 +2024/10/29 18:06:50 - mmengine - INFO - Epoch(train) [45][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:23:25 time: 0.4511 data_time: 0.0375 memory: 4652 grad_norm: 2.8298 loss: 4.3805 loss_cls: 2.9042 loss_bbox: 1.4763 +2024/10/29 18:07:12 - mmengine - INFO - Epoch(train) [45][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:23:05 time: 0.4428 data_time: 0.0477 memory: 4652 grad_norm: 2.7652 loss: 4.3560 loss_cls: 2.9420 loss_bbox: 1.4140 +2024/10/29 18:07:35 - mmengine - INFO - Epoch(train) [45][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:22:45 time: 0.4525 data_time: 0.0442 memory: 4652 grad_norm: 2.8384 loss: 4.3989 loss_cls: 2.9516 loss_bbox: 1.4473 +2024/10/29 18:07:58 - mmengine - INFO - Epoch(train) [45][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:22:26 time: 0.4503 data_time: 0.0366 memory: 4652 grad_norm: 2.9709 loss: 4.3656 loss_cls: 2.9086 loss_bbox: 1.4571 +2024/10/29 18:08:19 - mmengine - INFO - Epoch(train) [45][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:22:04 time: 0.4240 data_time: 0.0387 memory: 4652 grad_norm: 2.6358 loss: 4.3798 loss_cls: 2.9044 loss_bbox: 1.4754 +2024/10/29 18:08:42 - mmengine - INFO - Epoch(train) [45][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:21:46 time: 0.4604 data_time: 0.0454 memory: 4652 grad_norm: 2.8980 loss: 4.4703 loss_cls: 2.9938 loss_bbox: 1.4765 +2024/10/29 18:09:03 - mmengine - INFO - Epoch(train) [45][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:21:24 time: 0.4299 data_time: 0.0386 memory: 4652 grad_norm: 2.8773 loss: 4.4543 loss_cls: 2.9683 loss_bbox: 1.4861 +2024/10/29 18:09:29 - mmengine - INFO - Epoch(train) [45][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:21:11 time: 0.5213 data_time: 0.1128 memory: 4652 grad_norm: 2.8685 loss: 4.3853 loss_cls: 2.9228 loss_bbox: 1.4625 +2024/10/29 18:09:51 - mmengine - INFO - Epoch(train) [45][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:20:51 time: 0.4406 data_time: 0.0412 memory: 4652 grad_norm: 2.9799 loss: 4.3470 loss_cls: 2.9042 loss_bbox: 1.4428 +2024/10/29 18:10:13 - mmengine - INFO - Epoch(train) [45][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:20:30 time: 0.4333 data_time: 0.0373 memory: 4652 grad_norm: 2.8512 loss: 4.4033 loss_cls: 2.9208 loss_bbox: 1.4825 +2024/10/29 18:10:36 - mmengine - INFO - Epoch(train) [45][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:20:11 time: 0.4613 data_time: 0.0417 memory: 4652 grad_norm: 3.0317 loss: 4.3376 loss_cls: 2.9055 loss_bbox: 1.4321 +2024/10/29 18:10:57 - mmengine - INFO - Epoch(train) [45][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:19:50 time: 0.4241 data_time: 0.0372 memory: 4652 grad_norm: 3.0231 loss: 4.3018 loss_cls: 2.8440 loss_bbox: 1.4578 +2024/10/29 18:11:20 - mmengine - INFO - Epoch(train) [45][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:19:30 time: 0.4501 data_time: 0.0383 memory: 4652 grad_norm: 2.9280 loss: 4.3666 loss_cls: 2.9045 loss_bbox: 1.4621 +2024/10/29 18:11:42 - mmengine - INFO - Epoch(train) [45][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:19:10 time: 0.4396 data_time: 0.0472 memory: 4652 grad_norm: 3.0088 loss: 4.3503 loss_cls: 2.9000 loss_bbox: 1.4504 +2024/10/29 18:12:04 - mmengine - INFO - Epoch(train) [45][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:18:49 time: 0.4353 data_time: 0.0413 memory: 4652 grad_norm: 2.6504 loss: 4.3596 loss_cls: 2.9201 loss_bbox: 1.4395 +2024/10/29 18:12:29 - mmengine - INFO - Epoch(train) [45][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:18:35 time: 0.5096 data_time: 0.0967 memory: 4652 grad_norm: 2.7045 loss: 4.2945 loss_cls: 2.8766 loss_bbox: 1.4179 +2024/10/29 18:12:51 - mmengine - INFO - Epoch(train) [45][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:18:14 time: 0.4338 data_time: 0.0385 memory: 4652 grad_norm: 2.9734 loss: 4.3168 loss_cls: 2.8886 loss_bbox: 1.4283 +2024/10/29 18:13:13 - mmengine - INFO - Epoch(train) [45][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:17:54 time: 0.4490 data_time: 0.0372 memory: 4652 grad_norm: 2.7676 loss: 4.5320 loss_cls: 3.0298 loss_bbox: 1.5022 +2024/10/29 18:13:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 18:13:36 - mmengine - INFO - Epoch(train) [45][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:17:34 time: 0.4481 data_time: 0.0406 memory: 4652 grad_norm: 3.0330 loss: 4.4552 loss_cls: 2.9690 loss_bbox: 1.4862 +2024/10/29 18:13:57 - mmengine - INFO - Epoch(train) [45][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:17:14 time: 0.4332 data_time: 0.0467 memory: 4652 grad_norm: 2.7064 loss: 4.3402 loss_cls: 2.9048 loss_bbox: 1.4355 +2024/10/29 18:14:20 - mmengine - INFO - Epoch(train) [45][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:16:55 time: 0.4597 data_time: 0.0528 memory: 4652 grad_norm: 2.8688 loss: 4.3135 loss_cls: 2.8885 loss_bbox: 1.4250 +2024/10/29 18:14:42 - mmengine - INFO - Epoch(train) [45][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:16:34 time: 0.4357 data_time: 0.0370 memory: 4652 grad_norm: 2.8064 loss: 4.3973 loss_cls: 2.9539 loss_bbox: 1.4433 +2024/10/29 18:15:05 - mmengine - INFO - Epoch(train) [45][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:16:15 time: 0.4539 data_time: 0.0387 memory: 4652 grad_norm: 2.7486 loss: 4.3581 loss_cls: 2.9027 loss_bbox: 1.4553 +2024/10/29 18:15:28 - mmengine - INFO - Epoch(train) [45][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:15:56 time: 0.4587 data_time: 0.0427 memory: 4652 grad_norm: 2.9509 loss: 4.4995 loss_cls: 3.0038 loss_bbox: 1.4957 +2024/10/29 18:15:50 - mmengine - INFO - Epoch(train) [45][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:15:36 time: 0.4466 data_time: 0.0387 memory: 4652 grad_norm: 2.7076 loss: 4.2900 loss_cls: 2.8528 loss_bbox: 1.4371 +2024/10/29 18:16:12 - mmengine - INFO - Epoch(train) [45][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:15:16 time: 0.4426 data_time: 0.0369 memory: 4652 grad_norm: 2.9684 loss: 4.3528 loss_cls: 2.9184 loss_bbox: 1.4344 +2024/10/29 18:16:35 - mmengine - INFO - Epoch(train) [45][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:14:56 time: 0.4429 data_time: 0.0389 memory: 4652 grad_norm: 2.8385 loss: 4.3323 loss_cls: 2.9077 loss_bbox: 1.4247 +2024/10/29 18:16:36 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 18:16:36 - mmengine - INFO - Saving checkpoint at 45 epochs +2024/10/29 18:16:43 - mmengine - INFO - Epoch(val) [45][50/79] eta: 0:00:02 time: 0.0752 data_time: 0.0091 memory: 4652 +2024/10/29 18:17:05 - mmengine - INFO - Evaluating bbox... +2024/10/29 18:18:31 - mmengine - INFO - bbox_mAP_copypaste: 0.208 0.365 0.210 0.053 0.241 0.334 +2024/10/29 18:18:32 - mmengine - INFO - Epoch(val) [45][79/79] coco/bbox_mAP: 0.2080 coco/bbox_mAP_50: 0.3650 coco/bbox_mAP_75: 0.2100 coco/bbox_mAP_s: 0.0530 coco/bbox_mAP_m: 0.2410 coco/bbox_mAP_l: 0.3340 data_time: 0.0085 time: 0.0737 +2024/10/29 18:18:55 - mmengine - INFO - Epoch(train) [46][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:14:35 time: 0.4566 data_time: 0.0696 memory: 4652 grad_norm: 2.6778 loss: 4.3811 loss_cls: 2.9170 loss_bbox: 1.4641 +2024/10/29 18:19:16 - mmengine - INFO - Epoch(train) [46][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:14:13 time: 0.4183 data_time: 0.0396 memory: 4652 grad_norm: 2.8033 loss: 4.2843 loss_cls: 2.8576 loss_bbox: 1.4267 +2024/10/29 18:19:37 - mmengine - INFO - Epoch(train) [46][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:13:50 time: 0.4146 data_time: 0.0432 memory: 4652 grad_norm: 2.8637 loss: 4.2585 loss_cls: 2.8650 loss_bbox: 1.3934 +2024/10/29 18:19:59 - mmengine - INFO - Epoch(train) [46][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:13:29 time: 0.4319 data_time: 0.0400 memory: 4652 grad_norm: 2.8198 loss: 4.2791 loss_cls: 2.8887 loss_bbox: 1.3904 +2024/10/29 18:20:19 - mmengine - INFO - Epoch(train) [46][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:13:05 time: 0.4021 data_time: 0.0403 memory: 4652 grad_norm: 3.0931 loss: 4.3042 loss_cls: 2.8888 loss_bbox: 1.4154 +2024/10/29 18:20:40 - mmengine - INFO - Epoch(train) [46][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:12:44 time: 0.4251 data_time: 0.0396 memory: 4652 grad_norm: 2.9618 loss: 4.3421 loss_cls: 2.8826 loss_bbox: 1.4596 +2024/10/29 18:21:01 - mmengine - INFO - Epoch(train) [46][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:12:22 time: 0.4242 data_time: 0.0434 memory: 4652 grad_norm: 2.7697 loss: 4.3306 loss_cls: 2.9001 loss_bbox: 1.4305 +2024/10/29 18:21:27 - mmengine - INFO - Epoch(train) [46][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:12:08 time: 0.5194 data_time: 0.1418 memory: 4652 grad_norm: 3.0792 loss: 4.4094 loss_cls: 2.9658 loss_bbox: 1.4436 +2024/10/29 18:21:49 - mmengine - INFO - Epoch(train) [46][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:11:47 time: 0.4272 data_time: 0.0408 memory: 4652 grad_norm: 2.9530 loss: 4.3601 loss_cls: 2.9209 loss_bbox: 1.4392 +2024/10/29 18:22:09 - mmengine - INFO - Epoch(train) [46][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:11:23 time: 0.4040 data_time: 0.0395 memory: 4652 grad_norm: 2.7724 loss: 4.3320 loss_cls: 2.9139 loss_bbox: 1.4181 +2024/10/29 18:22:30 - mmengine - INFO - Epoch(train) [46][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:11:01 time: 0.4189 data_time: 0.0388 memory: 4652 grad_norm: 2.8353 loss: 4.2855 loss_cls: 2.8709 loss_bbox: 1.4146 +2024/10/29 18:22:39 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 18:22:51 - mmengine - INFO - Epoch(train) [46][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:10:39 time: 0.4147 data_time: 0.0405 memory: 4652 grad_norm: 2.7513 loss: 4.3181 loss_cls: 2.8841 loss_bbox: 1.4340 +2024/10/29 18:23:11 - mmengine - INFO - Epoch(train) [46][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:10:16 time: 0.4186 data_time: 0.0435 memory: 4652 grad_norm: 2.6533 loss: 4.3385 loss_cls: 2.9140 loss_bbox: 1.4244 +2024/10/29 18:23:33 - mmengine - INFO - Epoch(train) [46][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:09:55 time: 0.4289 data_time: 0.0386 memory: 4652 grad_norm: 2.8461 loss: 4.4169 loss_cls: 2.9405 loss_bbox: 1.4764 +2024/10/29 18:23:53 - mmengine - INFO - Epoch(train) [46][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:09:31 time: 0.3995 data_time: 0.0385 memory: 4652 grad_norm: 2.8578 loss: 4.3934 loss_cls: 2.9199 loss_bbox: 1.4735 +2024/10/29 18:24:14 - mmengine - INFO - Epoch(train) [46][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:09:09 time: 0.4256 data_time: 0.0491 memory: 4652 grad_norm: 2.6911 loss: 4.3605 loss_cls: 2.9273 loss_bbox: 1.4331 +2024/10/29 18:24:35 - mmengine - INFO - Epoch(train) [46][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:08:47 time: 0.4179 data_time: 0.0456 memory: 4652 grad_norm: 2.7923 loss: 4.2672 loss_cls: 2.8740 loss_bbox: 1.3932 +2024/10/29 18:24:56 - mmengine - INFO - Epoch(train) [46][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:08:24 time: 0.4082 data_time: 0.0385 memory: 4652 grad_norm: 2.8505 loss: 4.3835 loss_cls: 2.9269 loss_bbox: 1.4566 +2024/10/29 18:25:17 - mmengine - INFO - Epoch(train) [46][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:08:02 time: 0.4233 data_time: 0.0437 memory: 4652 grad_norm: 3.1052 loss: 4.4337 loss_cls: 2.9558 loss_bbox: 1.4779 +2024/10/29 18:25:37 - mmengine - INFO - Epoch(train) [46][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:07:39 time: 0.4041 data_time: 0.0437 memory: 4652 grad_norm: 2.8217 loss: 4.2622 loss_cls: 2.8460 loss_bbox: 1.4162 +2024/10/29 18:25:58 - mmengine - INFO - Epoch(train) [46][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:07:17 time: 0.4290 data_time: 0.0384 memory: 4652 grad_norm: 3.1384 loss: 4.2968 loss_cls: 2.8325 loss_bbox: 1.4644 +2024/10/29 18:26:19 - mmengine - INFO - Epoch(train) [46][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:06:54 time: 0.4040 data_time: 0.0410 memory: 4652 grad_norm: 2.8242 loss: 4.3861 loss_cls: 2.9016 loss_bbox: 1.4846 +2024/10/29 18:26:40 - mmengine - INFO - Epoch(train) [46][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:06:32 time: 0.4217 data_time: 0.0431 memory: 4652 grad_norm: 2.9849 loss: 4.3331 loss_cls: 2.8627 loss_bbox: 1.4704 +2024/10/29 18:27:01 - mmengine - INFO - Epoch(train) [46][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:06:10 time: 0.4234 data_time: 0.0403 memory: 4652 grad_norm: 2.8152 loss: 4.4202 loss_cls: 2.9501 loss_bbox: 1.4701 +2024/10/29 18:27:22 - mmengine - INFO - Epoch(train) [46][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:05:48 time: 0.4200 data_time: 0.0441 memory: 4652 grad_norm: 2.8814 loss: 4.3740 loss_cls: 2.9102 loss_bbox: 1.4639 +2024/10/29 18:27:43 - mmengine - INFO - Epoch(train) [46][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:05:26 time: 0.4177 data_time: 0.0458 memory: 4652 grad_norm: 2.9448 loss: 4.4100 loss_cls: 2.9092 loss_bbox: 1.5009 +2024/10/29 18:28:03 - mmengine - INFO - Epoch(train) [46][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:05:02 time: 0.4071 data_time: 0.0398 memory: 4652 grad_norm: 3.0606 loss: 4.4324 loss_cls: 2.9651 loss_bbox: 1.4673 +2024/10/29 18:28:27 - mmengine - INFO - Epoch(train) [46][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:04:45 time: 0.4801 data_time: 0.1107 memory: 4652 grad_norm: 2.8877 loss: 4.3449 loss_cls: 2.8956 loss_bbox: 1.4493 +2024/10/29 18:28:48 - mmengine - INFO - Epoch(train) [46][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:04:22 time: 0.4087 data_time: 0.0390 memory: 4652 grad_norm: 2.9860 loss: 4.4628 loss_cls: 2.9537 loss_bbox: 1.5091 +2024/10/29 18:29:08 - mmengine - INFO - Epoch(train) [46][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:04:00 time: 0.4149 data_time: 0.0405 memory: 4652 grad_norm: 2.6861 loss: 4.3127 loss_cls: 2.9203 loss_bbox: 1.3924 +2024/10/29 18:29:30 - mmengine - INFO - Epoch(train) [46][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:03:38 time: 0.4238 data_time: 0.0443 memory: 4652 grad_norm: 2.7693 loss: 4.4076 loss_cls: 2.9563 loss_bbox: 1.4513 +2024/10/29 18:29:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 18:29:50 - mmengine - INFO - Epoch(train) [46][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:03:15 time: 0.4112 data_time: 0.0408 memory: 4652 grad_norm: 2.7621 loss: 4.3695 loss_cls: 2.9005 loss_bbox: 1.4690 +2024/10/29 18:30:11 - mmengine - INFO - Epoch(train) [46][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:02:54 time: 0.4274 data_time: 0.0460 memory: 4652 grad_norm: 2.9137 loss: 4.4504 loss_cls: 2.9189 loss_bbox: 1.5315 +2024/10/29 18:30:32 - mmengine - INFO - Epoch(train) [46][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:02:31 time: 0.4099 data_time: 0.0401 memory: 4652 grad_norm: 2.7887 loss: 4.4155 loss_cls: 2.9509 loss_bbox: 1.4647 +2024/10/29 18:30:53 - mmengine - INFO - Epoch(train) [46][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:02:08 time: 0.4166 data_time: 0.0431 memory: 4652 grad_norm: 2.8095 loss: 4.2972 loss_cls: 2.9194 loss_bbox: 1.3777 +2024/10/29 18:31:14 - mmengine - INFO - Epoch(train) [46][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:01:46 time: 0.4138 data_time: 0.0402 memory: 4652 grad_norm: 2.7214 loss: 4.3167 loss_cls: 2.8792 loss_bbox: 1.4376 +2024/10/29 18:31:34 - mmengine - INFO - Epoch(train) [46][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:01:23 time: 0.4162 data_time: 0.0440 memory: 4652 grad_norm: 2.8303 loss: 4.2489 loss_cls: 2.8533 loss_bbox: 1.3956 +2024/10/29 18:31:55 - mmengine - INFO - Epoch(train) [46][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:01:01 time: 0.4231 data_time: 0.0388 memory: 4652 grad_norm: 2.8279 loss: 4.3709 loss_cls: 2.9138 loss_bbox: 1.4571 +2024/10/29 18:32:16 - mmengine - INFO - Epoch(train) [46][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:00:38 time: 0.4118 data_time: 0.0391 memory: 4652 grad_norm: 2.7632 loss: 4.3139 loss_cls: 2.8967 loss_bbox: 1.4173 +2024/10/29 18:32:37 - mmengine - INFO - Epoch(train) [46][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:00:16 time: 0.4151 data_time: 0.0406 memory: 4652 grad_norm: 3.1675 loss: 4.4198 loss_cls: 2.9162 loss_bbox: 1.5036 +2024/10/29 18:32:58 - mmengine - INFO - Epoch(train) [46][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:59:54 time: 0.4183 data_time: 0.0426 memory: 4652 grad_norm: 2.8206 loss: 4.3631 loss_cls: 2.9187 loss_bbox: 1.4444 +2024/10/29 18:33:18 - mmengine - INFO - Epoch(train) [46][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:59:31 time: 0.4105 data_time: 0.0406 memory: 4652 grad_norm: 2.7896 loss: 4.3600 loss_cls: 2.8875 loss_bbox: 1.4725 +2024/10/29 18:33:40 - mmengine - INFO - Epoch(train) [46][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:59:10 time: 0.4367 data_time: 0.0566 memory: 4652 grad_norm: 2.7511 loss: 4.3446 loss_cls: 2.8848 loss_bbox: 1.4598 +2024/10/29 18:34:01 - mmengine - INFO - Epoch(train) [46][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:58:48 time: 0.4173 data_time: 0.0449 memory: 4652 grad_norm: 3.2166 loss: 4.3447 loss_cls: 2.8929 loss_bbox: 1.4517 +2024/10/29 18:34:22 - mmengine - INFO - Epoch(train) [46][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:58:26 time: 0.4201 data_time: 0.0404 memory: 4652 grad_norm: 2.8542 loss: 4.3275 loss_cls: 2.8650 loss_bbox: 1.4625 +2024/10/29 18:34:43 - mmengine - INFO - Epoch(train) [46][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:58:03 time: 0.4139 data_time: 0.0450 memory: 4652 grad_norm: 2.7408 loss: 4.3488 loss_cls: 2.9373 loss_bbox: 1.4115 +2024/10/29 18:35:03 - mmengine - INFO - Epoch(train) [46][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:57:40 time: 0.4110 data_time: 0.0404 memory: 4652 grad_norm: 2.9539 loss: 4.3595 loss_cls: 2.9366 loss_bbox: 1.4229 +2024/10/29 18:35:26 - mmengine - INFO - Epoch(train) [46][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:57:20 time: 0.4468 data_time: 0.0727 memory: 4652 grad_norm: 3.0233 loss: 4.3814 loss_cls: 2.9301 loss_bbox: 1.4513 +2024/10/29 18:35:47 - mmengine - INFO - Epoch(train) [46][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:56:59 time: 0.4304 data_time: 0.0464 memory: 4652 grad_norm: 2.7117 loss: 4.3748 loss_cls: 2.9134 loss_bbox: 1.4614 +2024/10/29 18:36:08 - mmengine - INFO - Epoch(train) [46][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:56:37 time: 0.4151 data_time: 0.0428 memory: 4652 grad_norm: 3.0648 loss: 4.3790 loss_cls: 2.9257 loss_bbox: 1.4533 +2024/10/29 18:36:28 - mmengine - INFO - Epoch(train) [46][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:56:13 time: 0.4053 data_time: 0.0395 memory: 4652 grad_norm: 2.8896 loss: 4.3266 loss_cls: 2.8832 loss_bbox: 1.4434 +2024/10/29 18:36:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 18:36:50 - mmengine - INFO - Epoch(train) [46][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:55:52 time: 0.4282 data_time: 0.0426 memory: 4652 grad_norm: 3.0609 loss: 4.3936 loss_cls: 2.9027 loss_bbox: 1.4909 +2024/10/29 18:37:11 - mmengine - INFO - Epoch(train) [46][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:55:30 time: 0.4212 data_time: 0.0405 memory: 4652 grad_norm: 3.0316 loss: 4.2976 loss_cls: 2.8628 loss_bbox: 1.4349 +2024/10/29 18:37:32 - mmengine - INFO - Epoch(train) [46][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:55:08 time: 0.4224 data_time: 0.0396 memory: 4652 grad_norm: 2.9870 loss: 4.4326 loss_cls: 2.9850 loss_bbox: 1.4476 +2024/10/29 18:37:54 - mmengine - INFO - Epoch(train) [46][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:54:47 time: 0.4349 data_time: 0.0522 memory: 4652 grad_norm: 2.7973 loss: 4.3092 loss_cls: 2.8475 loss_bbox: 1.4617 +2024/10/29 18:38:14 - mmengine - INFO - Epoch(train) [46][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:54:24 time: 0.4131 data_time: 0.0462 memory: 4652 grad_norm: 2.8828 loss: 4.3853 loss_cls: 2.9455 loss_bbox: 1.4398 +2024/10/29 18:38:36 - mmengine - INFO - Epoch(train) [46][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:54:03 time: 0.4319 data_time: 0.0394 memory: 4652 grad_norm: 2.7558 loss: 4.3529 loss_cls: 2.9142 loss_bbox: 1.4388 +2024/10/29 18:38:57 - mmengine - INFO - Epoch(train) [46][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:53:41 time: 0.4188 data_time: 0.0439 memory: 4652 grad_norm: 3.0029 loss: 4.5196 loss_cls: 2.9969 loss_bbox: 1.5227 +2024/10/29 18:39:19 - mmengine - INFO - Epoch(train) [46][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:53:21 time: 0.4377 data_time: 0.0448 memory: 4652 grad_norm: 3.1557 loss: 4.2968 loss_cls: 2.8929 loss_bbox: 1.4039 +2024/10/29 18:39:40 - mmengine - INFO - Epoch(train) [46][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:52:59 time: 0.4292 data_time: 0.0413 memory: 4652 grad_norm: 2.8120 loss: 4.4030 loss_cls: 2.9188 loss_bbox: 1.4842 +2024/10/29 18:40:01 - mmengine - INFO - Epoch(train) [46][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:52:37 time: 0.4146 data_time: 0.0509 memory: 4652 grad_norm: 2.7726 loss: 4.2987 loss_cls: 2.8995 loss_bbox: 1.3992 +2024/10/29 18:40:03 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 18:40:03 - mmengine - INFO - Saving checkpoint at 46 epochs +2024/10/29 18:40:31 - mmengine - INFO - Epoch(train) [47][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:52:16 time: 0.4573 data_time: 0.0549 memory: 4652 grad_norm: 3.0775 loss: 4.3258 loss_cls: 2.8696 loss_bbox: 1.4563 +2024/10/29 18:40:53 - mmengine - INFO - Epoch(train) [47][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:51:55 time: 0.4272 data_time: 0.0477 memory: 4652 grad_norm: 2.9831 loss: 4.4318 loss_cls: 2.9509 loss_bbox: 1.4808 +2024/10/29 18:41:14 - mmengine - INFO - Epoch(train) [47][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:51:34 time: 0.4326 data_time: 0.0438 memory: 4652 grad_norm: 2.7206 loss: 4.3357 loss_cls: 2.8913 loss_bbox: 1.4444 +2024/10/29 18:41:36 - mmengine - INFO - Epoch(train) [47][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:51:12 time: 0.4293 data_time: 0.0399 memory: 4652 grad_norm: 2.8780 loss: 4.3354 loss_cls: 2.9171 loss_bbox: 1.4183 +2024/10/29 18:41:57 - mmengine - INFO - Epoch(train) [47][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:50:50 time: 0.4189 data_time: 0.0405 memory: 4652 grad_norm: 2.8406 loss: 4.3028 loss_cls: 2.8693 loss_bbox: 1.4335 +2024/10/29 18:42:19 - mmengine - INFO - Epoch(train) [47][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:50:29 time: 0.4369 data_time: 0.0458 memory: 4652 grad_norm: 2.9170 loss: 4.3830 loss_cls: 2.9224 loss_bbox: 1.4606 +2024/10/29 18:42:40 - mmengine - INFO - Epoch(train) [47][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:50:08 time: 0.4310 data_time: 0.0456 memory: 4652 grad_norm: 2.8605 loss: 4.3351 loss_cls: 2.8858 loss_bbox: 1.4492 +2024/10/29 18:43:01 - mmengine - INFO - Epoch(train) [47][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:49:47 time: 0.4264 data_time: 0.0439 memory: 4652 grad_norm: 2.6950 loss: 4.3300 loss_cls: 2.9020 loss_bbox: 1.4280 +2024/10/29 18:43:26 - mmengine - INFO - Epoch(train) [47][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:49:31 time: 0.4923 data_time: 0.1117 memory: 4652 grad_norm: 2.9836 loss: 4.3921 loss_cls: 2.9408 loss_bbox: 1.4513 +2024/10/29 18:43:47 - mmengine - INFO - Epoch(train) [47][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:49:09 time: 0.4191 data_time: 0.0452 memory: 4652 grad_norm: 3.0289 loss: 4.3692 loss_cls: 2.9159 loss_bbox: 1.4533 +2024/10/29 18:43:54 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 18:44:08 - mmengine - INFO - Epoch(train) [47][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:48:47 time: 0.4215 data_time: 0.0401 memory: 4652 grad_norm: 2.9965 loss: 4.3852 loss_cls: 2.9112 loss_bbox: 1.4739 +2024/10/29 18:44:29 - mmengine - INFO - Epoch(train) [47][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:48:24 time: 0.4165 data_time: 0.0393 memory: 4652 grad_norm: 2.7136 loss: 4.3841 loss_cls: 2.9468 loss_bbox: 1.4373 +2024/10/29 18:44:51 - mmengine - INFO - Epoch(train) [47][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:48:03 time: 0.4338 data_time: 0.0435 memory: 4652 grad_norm: 2.7208 loss: 4.3173 loss_cls: 2.8557 loss_bbox: 1.4617 +2024/10/29 18:45:12 - mmengine - INFO - Epoch(train) [47][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:47:42 time: 0.4249 data_time: 0.0400 memory: 4652 grad_norm: 2.7892 loss: 4.3559 loss_cls: 2.9268 loss_bbox: 1.4291 +2024/10/29 18:45:33 - mmengine - INFO - Epoch(train) [47][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:47:19 time: 0.4195 data_time: 0.0389 memory: 4652 grad_norm: 3.1293 loss: 4.4003 loss_cls: 2.9233 loss_bbox: 1.4770 +2024/10/29 18:45:53 - mmengine - INFO - Epoch(train) [47][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:46:56 time: 0.4094 data_time: 0.0402 memory: 4652 grad_norm: 2.8583 loss: 4.3962 loss_cls: 2.9373 loss_bbox: 1.4589 +2024/10/29 18:46:14 - mmengine - INFO - Epoch(train) [47][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:46:34 time: 0.4204 data_time: 0.0441 memory: 4652 grad_norm: 3.0464 loss: 4.3649 loss_cls: 2.9171 loss_bbox: 1.4478 +2024/10/29 18:46:36 - mmengine - INFO - Epoch(train) [47][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:46:14 time: 0.4377 data_time: 0.0496 memory: 4652 grad_norm: 2.8387 loss: 4.3536 loss_cls: 2.8866 loss_bbox: 1.4670 +2024/10/29 18:46:57 - mmengine - INFO - Epoch(train) [47][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:45:51 time: 0.4164 data_time: 0.0532 memory: 4652 grad_norm: 2.7992 loss: 4.3519 loss_cls: 2.9056 loss_bbox: 1.4464 +2024/10/29 18:47:18 - mmengine - INFO - Epoch(train) [47][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:45:30 time: 0.4227 data_time: 0.0410 memory: 4652 grad_norm: 3.0363 loss: 4.4462 loss_cls: 2.9751 loss_bbox: 1.4712 +2024/10/29 18:47:40 - mmengine - INFO - Epoch(train) [47][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:45:08 time: 0.4250 data_time: 0.0417 memory: 4652 grad_norm: 2.7995 loss: 4.3927 loss_cls: 2.9140 loss_bbox: 1.4787 +2024/10/29 18:48:01 - mmengine - INFO - Epoch(train) [47][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:44:46 time: 0.4258 data_time: 0.0439 memory: 4652 grad_norm: 2.8151 loss: 4.3480 loss_cls: 2.9246 loss_bbox: 1.4234 +2024/10/29 18:48:22 - mmengine - INFO - Epoch(train) [47][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:44:24 time: 0.4194 data_time: 0.0390 memory: 4652 grad_norm: 2.6916 loss: 4.4070 loss_cls: 2.9480 loss_bbox: 1.4590 +2024/10/29 18:48:42 - mmengine - INFO - Epoch(train) [47][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:44:01 time: 0.4062 data_time: 0.0391 memory: 4652 grad_norm: 2.8756 loss: 4.3143 loss_cls: 2.9050 loss_bbox: 1.4092 +2024/10/29 18:49:04 - mmengine - INFO - Epoch(train) [47][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:43:41 time: 0.4408 data_time: 0.0440 memory: 4652 grad_norm: 3.2180 loss: 4.3404 loss_cls: 2.9196 loss_bbox: 1.4208 +2024/10/29 18:49:26 - mmengine - INFO - Epoch(train) [47][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:43:19 time: 0.4295 data_time: 0.0650 memory: 4652 grad_norm: 2.7948 loss: 4.3049 loss_cls: 2.9010 loss_bbox: 1.4039 +2024/10/29 18:49:48 - mmengine - INFO - Epoch(train) [47][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:42:59 time: 0.4409 data_time: 0.0469 memory: 4652 grad_norm: 2.9711 loss: 4.2358 loss_cls: 2.8554 loss_bbox: 1.3804 +2024/10/29 18:50:08 - mmengine - INFO - Epoch(train) [47][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:42:36 time: 0.4128 data_time: 0.0413 memory: 4652 grad_norm: 3.0285 loss: 4.4226 loss_cls: 2.9479 loss_bbox: 1.4747 +2024/10/29 18:50:29 - mmengine - INFO - Epoch(train) [47][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:42:14 time: 0.4126 data_time: 0.0526 memory: 4652 grad_norm: 3.0567 loss: 4.3219 loss_cls: 2.8780 loss_bbox: 1.4439 +2024/10/29 18:50:52 - mmengine - INFO - Epoch(train) [47][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:41:54 time: 0.4498 data_time: 0.0423 memory: 4652 grad_norm: 2.7704 loss: 4.2603 loss_cls: 2.8618 loss_bbox: 1.3984 +2024/10/29 18:50:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 18:51:13 - mmengine - INFO - Epoch(train) [47][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:41:32 time: 0.4191 data_time: 0.0483 memory: 4652 grad_norm: 2.6761 loss: 4.3788 loss_cls: 2.8982 loss_bbox: 1.4805 +2024/10/29 18:51:35 - mmengine - INFO - Epoch(train) [47][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:41:12 time: 0.4415 data_time: 0.0407 memory: 4652 grad_norm: 2.9283 loss: 4.3704 loss_cls: 2.9380 loss_bbox: 1.4323 +2024/10/29 18:51:55 - mmengine - INFO - Epoch(train) [47][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:40:49 time: 0.4173 data_time: 0.0399 memory: 4652 grad_norm: 2.9755 loss: 4.3331 loss_cls: 2.8742 loss_bbox: 1.4588 +2024/10/29 18:52:16 - mmengine - INFO - Epoch(train) [47][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:40:27 time: 0.4180 data_time: 0.0465 memory: 4652 grad_norm: 2.9679 loss: 4.3919 loss_cls: 2.9406 loss_bbox: 1.4513 +2024/10/29 18:52:38 - mmengine - INFO - Epoch(train) [47][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:40:06 time: 0.4382 data_time: 0.0402 memory: 4652 grad_norm: 2.8190 loss: 4.4681 loss_cls: 2.9899 loss_bbox: 1.4782 +2024/10/29 18:52:59 - mmengine - INFO - Epoch(train) [47][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:39:44 time: 0.4118 data_time: 0.0406 memory: 4652 grad_norm: 2.9769 loss: 4.4601 loss_cls: 2.9479 loss_bbox: 1.5121 +2024/10/29 18:53:21 - mmengine - INFO - Epoch(train) [47][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:39:24 time: 0.4482 data_time: 0.0459 memory: 4652 grad_norm: 2.6339 loss: 4.3323 loss_cls: 2.8941 loss_bbox: 1.4382 +2024/10/29 18:53:43 - mmengine - INFO - Epoch(train) [47][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:39:02 time: 0.4259 data_time: 0.0496 memory: 4652 grad_norm: 2.7682 loss: 4.3933 loss_cls: 2.9066 loss_bbox: 1.4867 +2024/10/29 18:54:04 - mmengine - INFO - Epoch(train) [47][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:38:41 time: 0.4243 data_time: 0.0393 memory: 4652 grad_norm: 2.8545 loss: 4.4006 loss_cls: 2.9733 loss_bbox: 1.4273 +2024/10/29 18:54:28 - mmengine - INFO - Epoch(train) [47][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:38:23 time: 0.4730 data_time: 0.0834 memory: 4652 grad_norm: 2.9821 loss: 4.4800 loss_cls: 2.9968 loss_bbox: 1.4832 +2024/10/29 18:54:48 - mmengine - INFO - Epoch(train) [47][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:38:01 time: 0.4175 data_time: 0.0400 memory: 4652 grad_norm: 2.9178 loss: 4.3574 loss_cls: 2.9123 loss_bbox: 1.4451 +2024/10/29 18:55:11 - mmengine - INFO - Epoch(train) [47][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:37:41 time: 0.4449 data_time: 0.0408 memory: 4652 grad_norm: 3.0147 loss: 4.3734 loss_cls: 2.9173 loss_bbox: 1.4561 +2024/10/29 18:55:33 - mmengine - INFO - Epoch(train) [47][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:37:20 time: 0.4385 data_time: 0.0527 memory: 4652 grad_norm: 2.7243 loss: 4.4049 loss_cls: 2.9241 loss_bbox: 1.4808 +2024/10/29 18:55:53 - mmengine - INFO - Epoch(train) [47][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:36:58 time: 0.4171 data_time: 0.0422 memory: 4652 grad_norm: 2.7677 loss: 4.3119 loss_cls: 2.8890 loss_bbox: 1.4229 +2024/10/29 18:56:16 - mmengine - INFO - Epoch(train) [47][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:36:38 time: 0.4451 data_time: 0.0400 memory: 4652 grad_norm: 2.9574 loss: 4.4391 loss_cls: 2.9482 loss_bbox: 1.4909 +2024/10/29 18:56:37 - mmengine - INFO - Epoch(train) [47][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:36:15 time: 0.4157 data_time: 0.0476 memory: 4652 grad_norm: 2.6642 loss: 4.3861 loss_cls: 2.9265 loss_bbox: 1.4595 +2024/10/29 18:56:58 - mmengine - INFO - Epoch(train) [47][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:35:54 time: 0.4261 data_time: 0.0388 memory: 4652 grad_norm: 3.1965 loss: 4.3901 loss_cls: 2.9016 loss_bbox: 1.4885 +2024/10/29 18:57:19 - mmengine - INFO - Epoch(train) [47][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:35:31 time: 0.4169 data_time: 0.0414 memory: 4652 grad_norm: 2.7799 loss: 4.3693 loss_cls: 2.9188 loss_bbox: 1.4506 +2024/10/29 18:57:39 - mmengine - INFO - Epoch(train) [47][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:35:09 time: 0.4138 data_time: 0.0450 memory: 4652 grad_norm: 2.9145 loss: 4.3914 loss_cls: 2.9354 loss_bbox: 1.4560 +2024/10/29 18:58:01 - mmengine - INFO - Epoch(train) [47][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:34:47 time: 0.4266 data_time: 0.0411 memory: 4652 grad_norm: 2.6943 loss: 4.3472 loss_cls: 2.9016 loss_bbox: 1.4456 +2024/10/29 18:58:07 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 18:58:22 - mmengine - INFO - Epoch(train) [47][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:34:25 time: 0.4224 data_time: 0.0417 memory: 4652 grad_norm: 2.7836 loss: 4.3083 loss_cls: 2.8596 loss_bbox: 1.4487 +2024/10/29 18:58:43 - mmengine - INFO - Epoch(train) [47][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:34:03 time: 0.4220 data_time: 0.0439 memory: 4652 grad_norm: 2.8107 loss: 4.3559 loss_cls: 2.9108 loss_bbox: 1.4452 +2024/10/29 18:59:04 - mmengine - INFO - Epoch(train) [47][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:33:41 time: 0.4150 data_time: 0.0403 memory: 4652 grad_norm: 2.9252 loss: 4.4362 loss_cls: 2.9524 loss_bbox: 1.4838 +2024/10/29 18:59:26 - mmengine - INFO - Epoch(train) [47][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:33:21 time: 0.4499 data_time: 0.0777 memory: 4652 grad_norm: 2.7265 loss: 4.5072 loss_cls: 3.0018 loss_bbox: 1.5054 +2024/10/29 18:59:48 - mmengine - INFO - Epoch(train) [47][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:33:00 time: 0.4291 data_time: 0.0449 memory: 4652 grad_norm: 2.9110 loss: 4.3683 loss_cls: 2.9021 loss_bbox: 1.4662 +2024/10/29 19:00:08 - mmengine - INFO - Epoch(train) [47][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:32:37 time: 0.4118 data_time: 0.0414 memory: 4652 grad_norm: 2.9549 loss: 4.2966 loss_cls: 2.8770 loss_bbox: 1.4196 +2024/10/29 19:00:29 - mmengine - INFO - Epoch(train) [47][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:32:14 time: 0.4112 data_time: 0.0412 memory: 4652 grad_norm: 2.7887 loss: 4.3706 loss_cls: 2.9245 loss_bbox: 1.4461 +2024/10/29 19:00:50 - mmengine - INFO - Epoch(train) [47][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:31:52 time: 0.4145 data_time: 0.0410 memory: 4652 grad_norm: 3.1792 loss: 4.2912 loss_cls: 2.8851 loss_bbox: 1.4061 +2024/10/29 19:01:10 - mmengine - INFO - Epoch(train) [47][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:31:30 time: 0.4175 data_time: 0.0380 memory: 4652 grad_norm: 2.8631 loss: 4.4783 loss_cls: 2.9934 loss_bbox: 1.4849 +2024/10/29 19:01:31 - mmengine - INFO - Epoch(train) [47][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:31:07 time: 0.4158 data_time: 0.0397 memory: 4652 grad_norm: 2.7930 loss: 4.3559 loss_cls: 2.9063 loss_bbox: 1.4496 +2024/10/29 19:01:52 - mmengine - INFO - Epoch(train) [47][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:30:44 time: 0.4059 data_time: 0.0421 memory: 4652 grad_norm: 3.0454 loss: 4.4306 loss_cls: 2.9739 loss_bbox: 1.4567 +2024/10/29 19:01:53 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 19:01:53 - mmengine - INFO - Saving checkpoint at 47 epochs +2024/10/29 19:02:20 - mmengine - INFO - Epoch(train) [48][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:30:22 time: 0.4363 data_time: 0.0528 memory: 4652 grad_norm: 3.0075 loss: 4.3647 loss_cls: 2.9276 loss_bbox: 1.4371 +2024/10/29 19:02:42 - mmengine - INFO - Epoch(train) [48][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:30:00 time: 0.4268 data_time: 0.0368 memory: 4652 grad_norm: 2.8899 loss: 4.3814 loss_cls: 2.9012 loss_bbox: 1.4803 +2024/10/29 19:03:03 - mmengine - INFO - Epoch(train) [48][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:29:38 time: 0.4182 data_time: 0.0370 memory: 4652 grad_norm: 2.7043 loss: 4.3196 loss_cls: 2.9346 loss_bbox: 1.3850 +2024/10/29 19:03:27 - mmengine - INFO - Epoch(train) [48][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:29:21 time: 0.4816 data_time: 0.1013 memory: 4652 grad_norm: 2.8013 loss: 4.4128 loss_cls: 2.9681 loss_bbox: 1.4447 +2024/10/29 19:03:48 - mmengine - INFO - Epoch(train) [48][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:28:58 time: 0.4170 data_time: 0.0406 memory: 4652 grad_norm: 2.8833 loss: 4.3262 loss_cls: 2.9146 loss_bbox: 1.4116 +2024/10/29 19:04:09 - mmengine - INFO - Epoch(train) [48][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:28:37 time: 0.4293 data_time: 0.0393 memory: 4652 grad_norm: 3.1488 loss: 4.4031 loss_cls: 2.9409 loss_bbox: 1.4622 +2024/10/29 19:04:30 - mmengine - INFO - Epoch(train) [48][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:28:15 time: 0.4226 data_time: 0.0418 memory: 4652 grad_norm: 2.9490 loss: 4.3057 loss_cls: 2.8753 loss_bbox: 1.4304 +2024/10/29 19:04:52 - mmengine - INFO - Epoch(train) [48][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:27:54 time: 0.4280 data_time: 0.0448 memory: 4652 grad_norm: 2.8799 loss: 4.3999 loss_cls: 2.9264 loss_bbox: 1.4735 +2024/10/29 19:05:13 - mmengine - INFO - Epoch(train) [48][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:27:32 time: 0.4210 data_time: 0.0420 memory: 4652 grad_norm: 2.9331 loss: 4.4425 loss_cls: 2.9912 loss_bbox: 1.4513 +2024/10/29 19:05:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 19:05:34 - mmengine - INFO - Epoch(train) [48][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:27:10 time: 0.4210 data_time: 0.0394 memory: 4652 grad_norm: 2.9133 loss: 4.3992 loss_cls: 2.9599 loss_bbox: 1.4393 +2024/10/29 19:05:55 - mmengine - INFO - Epoch(train) [48][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:26:47 time: 0.4155 data_time: 0.0443 memory: 4652 grad_norm: 2.9789 loss: 4.3891 loss_cls: 2.9053 loss_bbox: 1.4838 +2024/10/29 19:06:15 - mmengine - INFO - Epoch(train) [48][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:26:25 time: 0.4137 data_time: 0.0400 memory: 4652 grad_norm: 2.6954 loss: 4.3194 loss_cls: 2.8852 loss_bbox: 1.4343 +2024/10/29 19:06:37 - mmengine - INFO - Epoch(train) [48][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:26:04 time: 0.4313 data_time: 0.0414 memory: 4652 grad_norm: 3.0631 loss: 4.3589 loss_cls: 2.9270 loss_bbox: 1.4319 +2024/10/29 19:06:58 - mmengine - INFO - Epoch(train) [48][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:25:42 time: 0.4207 data_time: 0.0380 memory: 4652 grad_norm: 2.7308 loss: 4.4813 loss_cls: 2.9686 loss_bbox: 1.5127 +2024/10/29 19:07:19 - mmengine - INFO - Epoch(train) [48][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:25:21 time: 0.4303 data_time: 0.0381 memory: 4652 grad_norm: 2.9539 loss: 4.3046 loss_cls: 2.8704 loss_bbox: 1.4342 +2024/10/29 19:07:40 - mmengine - INFO - Epoch(train) [48][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:24:59 time: 0.4204 data_time: 0.0449 memory: 4652 grad_norm: 2.7355 loss: 4.3866 loss_cls: 2.9516 loss_bbox: 1.4350 +2024/10/29 19:08:02 - mmengine - INFO - Epoch(train) [48][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:24:37 time: 0.4255 data_time: 0.0449 memory: 4652 grad_norm: 2.9252 loss: 4.4148 loss_cls: 2.9322 loss_bbox: 1.4825 +2024/10/29 19:08:29 - mmengine - INFO - Epoch(train) [48][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:24:25 time: 0.5404 data_time: 0.1425 memory: 4652 grad_norm: 3.0579 loss: 4.3089 loss_cls: 2.8897 loss_bbox: 1.4192 +2024/10/29 19:08:50 - mmengine - INFO - Epoch(train) [48][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:24:03 time: 0.4301 data_time: 0.0414 memory: 4652 grad_norm: 2.7828 loss: 4.3622 loss_cls: 2.8968 loss_bbox: 1.4654 +2024/10/29 19:09:12 - mmengine - INFO - Epoch(train) [48][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:23:43 time: 0.4430 data_time: 0.0440 memory: 4652 grad_norm: 2.7205 loss: 4.3010 loss_cls: 2.8784 loss_bbox: 1.4226 +2024/10/29 19:09:34 - mmengine - INFO - Epoch(train) [48][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:23:22 time: 0.4274 data_time: 0.0378 memory: 4652 grad_norm: 2.9796 loss: 4.2829 loss_cls: 2.8773 loss_bbox: 1.4056 +2024/10/29 19:09:56 - mmengine - INFO - Epoch(train) [48][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:23:01 time: 0.4375 data_time: 0.0386 memory: 4652 grad_norm: 3.0107 loss: 4.3546 loss_cls: 2.8815 loss_bbox: 1.4731 +2024/10/29 19:10:17 - mmengine - INFO - Epoch(train) [48][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:22:40 time: 0.4286 data_time: 0.0407 memory: 4652 grad_norm: 2.6725 loss: 4.3651 loss_cls: 2.9110 loss_bbox: 1.4541 +2024/10/29 19:10:39 - mmengine - INFO - Epoch(train) [48][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:22:18 time: 0.4271 data_time: 0.0407 memory: 4652 grad_norm: 3.0165 loss: 4.3695 loss_cls: 2.9209 loss_bbox: 1.4486 +2024/10/29 19:11:01 - mmengine - INFO - Epoch(train) [48][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:21:59 time: 0.4513 data_time: 0.0428 memory: 4652 grad_norm: 3.0015 loss: 4.3520 loss_cls: 2.9027 loss_bbox: 1.4492 +2024/10/29 19:11:22 - mmengine - INFO - Epoch(train) [48][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:21:36 time: 0.4203 data_time: 0.0389 memory: 4652 grad_norm: 2.8088 loss: 4.3847 loss_cls: 2.9152 loss_bbox: 1.4695 +2024/10/29 19:11:44 - mmengine - INFO - Epoch(train) [48][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:21:16 time: 0.4391 data_time: 0.0371 memory: 4652 grad_norm: 2.7352 loss: 4.3355 loss_cls: 2.9067 loss_bbox: 1.4289 +2024/10/29 19:12:06 - mmengine - INFO - Epoch(train) [48][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:20:55 time: 0.4387 data_time: 0.0384 memory: 4652 grad_norm: 2.7891 loss: 4.4346 loss_cls: 2.9556 loss_bbox: 1.4790 +2024/10/29 19:12:27 - mmengine - INFO - Epoch(train) [48][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:20:33 time: 0.4205 data_time: 0.0391 memory: 4652 grad_norm: 3.0132 loss: 4.3706 loss_cls: 2.9251 loss_bbox: 1.4455 +2024/10/29 19:12:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 19:12:50 - mmengine - INFO - Epoch(train) [48][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:20:14 time: 0.4488 data_time: 0.0430 memory: 4652 grad_norm: 3.0432 loss: 4.3049 loss_cls: 2.9060 loss_bbox: 1.3989 +2024/10/29 19:13:12 - mmengine - INFO - Epoch(train) [48][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:19:54 time: 0.4564 data_time: 0.0748 memory: 4652 grad_norm: 2.8241 loss: 4.3994 loss_cls: 2.9240 loss_bbox: 1.4754 +2024/10/29 19:13:34 - mmengine - INFO - Epoch(train) [48][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:19:34 time: 0.4426 data_time: 0.0444 memory: 4652 grad_norm: 2.8052 loss: 4.4733 loss_cls: 2.9596 loss_bbox: 1.5136 +2024/10/29 19:13:56 - mmengine - INFO - Epoch(train) [48][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:19:13 time: 0.4275 data_time: 0.0386 memory: 4652 grad_norm: 2.7871 loss: 4.4013 loss_cls: 2.9406 loss_bbox: 1.4607 +2024/10/29 19:14:17 - mmengine - INFO - Epoch(train) [48][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:18:51 time: 0.4193 data_time: 0.0388 memory: 4652 grad_norm: 2.9442 loss: 4.3517 loss_cls: 2.9274 loss_bbox: 1.4243 +2024/10/29 19:14:39 - mmengine - INFO - Epoch(train) [48][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:18:31 time: 0.4523 data_time: 0.0391 memory: 4652 grad_norm: 2.8788 loss: 4.3681 loss_cls: 2.9022 loss_bbox: 1.4659 +2024/10/29 19:15:01 - mmengine - INFO - Epoch(train) [48][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:18:09 time: 0.4207 data_time: 0.0387 memory: 4652 grad_norm: 3.0585 loss: 4.3526 loss_cls: 2.8892 loss_bbox: 1.4634 +2024/10/29 19:15:23 - mmengine - INFO - Epoch(train) [48][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:17:49 time: 0.4415 data_time: 0.0405 memory: 4652 grad_norm: 2.6437 loss: 4.2761 loss_cls: 2.8664 loss_bbox: 1.4097 +2024/10/29 19:15:45 - mmengine - INFO - Epoch(train) [48][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:17:28 time: 0.4409 data_time: 0.0384 memory: 4652 grad_norm: 2.6550 loss: 4.3819 loss_cls: 2.9238 loss_bbox: 1.4581 +2024/10/29 19:16:06 - mmengine - INFO - Epoch(train) [48][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:17:07 time: 0.4266 data_time: 0.0380 memory: 4652 grad_norm: 3.3884 loss: 4.3409 loss_cls: 2.8989 loss_bbox: 1.4420 +2024/10/29 19:16:28 - mmengine - INFO - Epoch(train) [48][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:16:46 time: 0.4420 data_time: 0.0382 memory: 4652 grad_norm: 2.9975 loss: 4.3978 loss_cls: 2.9073 loss_bbox: 1.4905 +2024/10/29 19:16:49 - mmengine - INFO - Epoch(train) [48][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:16:24 time: 0.4177 data_time: 0.0393 memory: 4652 grad_norm: 2.8875 loss: 4.3436 loss_cls: 2.8880 loss_bbox: 1.4556 +2024/10/29 19:17:11 - mmengine - INFO - Epoch(train) [48][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:16:04 time: 0.4380 data_time: 0.0385 memory: 4652 grad_norm: 3.1229 loss: 4.3254 loss_cls: 2.8986 loss_bbox: 1.4268 +2024/10/29 19:17:32 - mmengine - INFO - Epoch(train) [48][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:15:42 time: 0.4257 data_time: 0.0425 memory: 4652 grad_norm: 2.8405 loss: 4.3457 loss_cls: 2.8820 loss_bbox: 1.4637 +2024/10/29 19:17:54 - mmengine - INFO - Epoch(train) [48][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:15:21 time: 0.4290 data_time: 0.0386 memory: 4652 grad_norm: 3.1884 loss: 4.3463 loss_cls: 2.9247 loss_bbox: 1.4215 +2024/10/29 19:18:15 - mmengine - INFO - Epoch(train) [48][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:15:00 time: 0.4313 data_time: 0.0457 memory: 4652 grad_norm: 2.6631 loss: 4.2802 loss_cls: 2.8812 loss_bbox: 1.3989 +2024/10/29 19:18:36 - mmengine - INFO - Epoch(train) [48][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:14:37 time: 0.4141 data_time: 0.0372 memory: 4652 grad_norm: 2.9160 loss: 4.4350 loss_cls: 2.9408 loss_bbox: 1.4942 +2024/10/29 19:18:57 - mmengine - INFO - Epoch(train) [48][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:14:15 time: 0.4263 data_time: 0.0383 memory: 4652 grad_norm: 3.0720 loss: 4.3502 loss_cls: 2.8770 loss_bbox: 1.4732 +2024/10/29 19:19:19 - mmengine - INFO - Epoch(train) [48][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:13:54 time: 0.4276 data_time: 0.0390 memory: 4652 grad_norm: 2.7226 loss: 4.3797 loss_cls: 2.9121 loss_bbox: 1.4675 +2024/10/29 19:19:40 - mmengine - INFO - Epoch(train) [48][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:13:33 time: 0.4277 data_time: 0.0427 memory: 4652 grad_norm: 2.8212 loss: 4.4013 loss_cls: 2.9265 loss_bbox: 1.4748 +2024/10/29 19:19:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 19:20:02 - mmengine - INFO - Epoch(train) [48][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:13:11 time: 0.4316 data_time: 0.0394 memory: 4652 grad_norm: 2.9882 loss: 4.3150 loss_cls: 2.8662 loss_bbox: 1.4487 +2024/10/29 19:20:23 - mmengine - INFO - Epoch(train) [48][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:12:50 time: 0.4226 data_time: 0.0443 memory: 4652 grad_norm: 2.8901 loss: 4.4109 loss_cls: 2.9579 loss_bbox: 1.4530 +2024/10/29 19:20:44 - mmengine - INFO - Epoch(train) [48][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:12:27 time: 0.4139 data_time: 0.0395 memory: 4652 grad_norm: 3.1089 loss: 4.3387 loss_cls: 2.8786 loss_bbox: 1.4600 +2024/10/29 19:21:05 - mmengine - INFO - Epoch(train) [48][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:12:06 time: 0.4359 data_time: 0.0417 memory: 4652 grad_norm: 2.8310 loss: 4.4037 loss_cls: 2.9315 loss_bbox: 1.4721 +2024/10/29 19:21:27 - mmengine - INFO - Epoch(train) [48][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:11:46 time: 0.4399 data_time: 0.0520 memory: 4652 grad_norm: 2.8261 loss: 4.3276 loss_cls: 2.8900 loss_bbox: 1.4376 +2024/10/29 19:21:49 - mmengine - INFO - Epoch(train) [48][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:11:24 time: 0.4289 data_time: 0.0510 memory: 4652 grad_norm: 2.7796 loss: 4.3443 loss_cls: 2.9125 loss_bbox: 1.4318 +2024/10/29 19:22:10 - mmengine - INFO - Epoch(train) [48][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:11:02 time: 0.4206 data_time: 0.0388 memory: 4652 grad_norm: 2.7919 loss: 4.4882 loss_cls: 3.0014 loss_bbox: 1.4868 +2024/10/29 19:22:31 - mmengine - INFO - Epoch(train) [48][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:10:40 time: 0.4200 data_time: 0.0383 memory: 4652 grad_norm: 2.8479 loss: 4.4313 loss_cls: 2.9544 loss_bbox: 1.4769 +2024/10/29 19:22:53 - mmengine - INFO - Epoch(train) [48][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:10:19 time: 0.4334 data_time: 0.0455 memory: 4652 grad_norm: 2.9408 loss: 4.2740 loss_cls: 2.8624 loss_bbox: 1.4116 +2024/10/29 19:23:14 - mmengine - INFO - Epoch(train) [48][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:09:58 time: 0.4298 data_time: 0.0400 memory: 4652 grad_norm: 3.0202 loss: 4.3897 loss_cls: 2.9235 loss_bbox: 1.4662 +2024/10/29 19:23:36 - mmengine - INFO - Epoch(train) [48][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:09:37 time: 0.4388 data_time: 0.0399 memory: 4652 grad_norm: 2.7245 loss: 4.3267 loss_cls: 2.9008 loss_bbox: 1.4259 +2024/10/29 19:23:57 - mmengine - INFO - Epoch(train) [48][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:09:15 time: 0.4201 data_time: 0.0409 memory: 4652 grad_norm: 2.9412 loss: 4.3599 loss_cls: 2.9208 loss_bbox: 1.4391 +2024/10/29 19:23:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 19:23:59 - mmengine - INFO - Saving checkpoint at 48 epochs +2024/10/29 19:24:29 - mmengine - INFO - Epoch(train) [49][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:08:52 time: 0.4194 data_time: 0.0560 memory: 4652 grad_norm: 2.8387 loss: 4.4192 loss_cls: 2.9325 loss_bbox: 1.4866 +2024/10/29 19:24:50 - mmengine - INFO - Epoch(train) [49][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:08:30 time: 0.4206 data_time: 0.0499 memory: 4652 grad_norm: 2.8524 loss: 4.4396 loss_cls: 2.9786 loss_bbox: 1.4610 +2024/10/29 19:25:10 - mmengine - INFO - Epoch(train) [49][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:08:06 time: 0.4045 data_time: 0.0397 memory: 4652 grad_norm: 2.7851 loss: 4.3003 loss_cls: 2.8781 loss_bbox: 1.4222 +2024/10/29 19:25:32 - mmengine - INFO - Epoch(train) [49][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:07:44 time: 0.4204 data_time: 0.0445 memory: 4652 grad_norm: 2.6131 loss: 4.5072 loss_cls: 2.9724 loss_bbox: 1.5349 +2024/10/29 19:25:52 - mmengine - INFO - Epoch(train) [49][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:07:22 time: 0.4171 data_time: 0.0417 memory: 4652 grad_norm: 2.7698 loss: 4.3185 loss_cls: 2.8775 loss_bbox: 1.4410 +2024/10/29 19:26:13 - mmengine - INFO - Epoch(train) [49][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:06:59 time: 0.4105 data_time: 0.0390 memory: 4652 grad_norm: 2.8755 loss: 4.3584 loss_cls: 2.9127 loss_bbox: 1.4457 +2024/10/29 19:26:35 - mmengine - INFO - Epoch(train) [49][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:06:38 time: 0.4318 data_time: 0.0422 memory: 4652 grad_norm: 2.7224 loss: 4.4054 loss_cls: 2.9230 loss_bbox: 1.4825 +2024/10/29 19:26:56 - mmengine - INFO - Epoch(train) [49][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:06:16 time: 0.4217 data_time: 0.0396 memory: 4652 grad_norm: 3.0467 loss: 4.3275 loss_cls: 2.9062 loss_bbox: 1.4213 +2024/10/29 19:26:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 19:27:17 - mmengine - INFO - Epoch(train) [49][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:05:55 time: 0.4307 data_time: 0.0469 memory: 4652 grad_norm: 2.6746 loss: 4.3968 loss_cls: 2.9379 loss_bbox: 1.4589 +2024/10/29 19:27:38 - mmengine - INFO - Epoch(train) [49][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:05:33 time: 0.4152 data_time: 0.0388 memory: 4652 grad_norm: 2.6389 loss: 4.4764 loss_cls: 2.9556 loss_bbox: 1.5208 +2024/10/29 19:27:59 - mmengine - INFO - Epoch(train) [49][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:05:10 time: 0.4170 data_time: 0.0383 memory: 4652 grad_norm: 2.9722 loss: 4.3278 loss_cls: 2.9234 loss_bbox: 1.4045 +2024/10/29 19:28:20 - mmengine - INFO - Epoch(train) [49][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:04:49 time: 0.4269 data_time: 0.0391 memory: 4652 grad_norm: 2.9602 loss: 4.3949 loss_cls: 2.9386 loss_bbox: 1.4563 +2024/10/29 19:28:42 - mmengine - INFO - Epoch(train) [49][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:04:28 time: 0.4312 data_time: 0.0433 memory: 4652 grad_norm: 2.9139 loss: 4.2795 loss_cls: 2.8773 loss_bbox: 1.4021 +2024/10/29 19:29:03 - mmengine - INFO - Epoch(train) [49][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:04:06 time: 0.4228 data_time: 0.0391 memory: 4652 grad_norm: 2.8745 loss: 4.3723 loss_cls: 2.9174 loss_bbox: 1.4549 +2024/10/29 19:29:28 - mmengine - INFO - Epoch(train) [49][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:03:50 time: 0.5036 data_time: 0.1286 memory: 4652 grad_norm: 2.7836 loss: 4.3168 loss_cls: 2.8828 loss_bbox: 1.4340 +2024/10/29 19:29:49 - mmengine - INFO - Epoch(train) [49][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:03:28 time: 0.4141 data_time: 0.0371 memory: 4652 grad_norm: 2.8643 loss: 4.4135 loss_cls: 2.9319 loss_bbox: 1.4816 +2024/10/29 19:30:10 - mmengine - INFO - Epoch(train) [49][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:03:06 time: 0.4238 data_time: 0.0445 memory: 4652 grad_norm: 2.8134 loss: 4.3894 loss_cls: 2.9019 loss_bbox: 1.4876 +2024/10/29 19:30:31 - mmengine - INFO - Epoch(train) [49][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:02:44 time: 0.4148 data_time: 0.0370 memory: 4652 grad_norm: 2.6912 loss: 4.2563 loss_cls: 2.8245 loss_bbox: 1.4318 +2024/10/29 19:30:53 - mmengine - INFO - Epoch(train) [49][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:02:23 time: 0.4400 data_time: 0.0421 memory: 4652 grad_norm: 3.0039 loss: 4.4088 loss_cls: 2.9176 loss_bbox: 1.4912 +2024/10/29 19:31:14 - mmengine - INFO - Epoch(train) [49][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:02:02 time: 0.4289 data_time: 0.0467 memory: 4652 grad_norm: 2.8980 loss: 4.3452 loss_cls: 2.9005 loss_bbox: 1.4447 +2024/10/29 19:31:36 - mmengine - INFO - Epoch(train) [49][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:01:41 time: 0.4333 data_time: 0.0447 memory: 4652 grad_norm: 2.7450 loss: 4.3965 loss_cls: 2.9251 loss_bbox: 1.4714 +2024/10/29 19:31:57 - mmengine - INFO - Epoch(train) [49][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:01:19 time: 0.4184 data_time: 0.0370 memory: 4652 grad_norm: 2.9856 loss: 4.3445 loss_cls: 2.9422 loss_bbox: 1.4023 +2024/10/29 19:32:18 - mmengine - INFO - Epoch(train) [49][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:00:57 time: 0.4305 data_time: 0.0371 memory: 4652 grad_norm: 2.6908 loss: 4.3360 loss_cls: 2.8664 loss_bbox: 1.4696 +2024/10/29 19:32:40 - mmengine - INFO - Epoch(train) [49][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:00:36 time: 0.4328 data_time: 0.0508 memory: 4652 grad_norm: 2.8487 loss: 4.4418 loss_cls: 2.9447 loss_bbox: 1.4971 +2024/10/29 19:33:01 - mmengine - INFO - Epoch(train) [49][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:00:15 time: 0.4216 data_time: 0.0425 memory: 4652 grad_norm: 2.6524 loss: 4.3810 loss_cls: 2.9587 loss_bbox: 1.4223 +2024/10/29 19:33:23 - mmengine - INFO - Epoch(train) [49][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:59:53 time: 0.4318 data_time: 0.0455 memory: 4652 grad_norm: 2.9585 loss: 4.3215 loss_cls: 2.9088 loss_bbox: 1.4127 +2024/10/29 19:33:44 - mmengine - INFO - Epoch(train) [49][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:59:32 time: 0.4266 data_time: 0.0385 memory: 4652 grad_norm: 3.0764 loss: 4.3701 loss_cls: 2.9126 loss_bbox: 1.4575 +2024/10/29 19:34:05 - mmengine - INFO - Epoch(train) [49][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:59:10 time: 0.4230 data_time: 0.0403 memory: 4652 grad_norm: 2.8494 loss: 4.3374 loss_cls: 2.8999 loss_bbox: 1.4375 +2024/10/29 19:34:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 19:34:28 - mmengine - INFO - Epoch(train) [49][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:58:51 time: 0.4613 data_time: 0.0794 memory: 4652 grad_norm: 2.5133 loss: 4.4093 loss_cls: 2.9528 loss_bbox: 1.4565 +2024/10/29 19:34:49 - mmengine - INFO - Epoch(train) [49][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:58:28 time: 0.4093 data_time: 0.0396 memory: 4652 grad_norm: 2.9456 loss: 4.4083 loss_cls: 2.9450 loss_bbox: 1.4633 +2024/10/29 19:35:11 - mmengine - INFO - Epoch(train) [49][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:58:08 time: 0.4381 data_time: 0.0509 memory: 4652 grad_norm: 2.8599 loss: 4.2381 loss_cls: 2.8462 loss_bbox: 1.3919 +2024/10/29 19:35:31 - mmengine - INFO - Epoch(train) [49][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:57:45 time: 0.4145 data_time: 0.0383 memory: 4652 grad_norm: 3.2929 loss: 4.4263 loss_cls: 2.9541 loss_bbox: 1.4722 +2024/10/29 19:35:53 - mmengine - INFO - Epoch(train) [49][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:57:24 time: 0.4314 data_time: 0.0454 memory: 4652 grad_norm: 2.7235 loss: 4.3181 loss_cls: 2.9164 loss_bbox: 1.4017 +2024/10/29 19:36:15 - mmengine - INFO - Epoch(train) [49][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:57:04 time: 0.4400 data_time: 0.0404 memory: 4652 grad_norm: 2.9112 loss: 4.3289 loss_cls: 2.9118 loss_bbox: 1.4171 +2024/10/29 19:36:35 - mmengine - INFO - Epoch(train) [49][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:56:40 time: 0.4054 data_time: 0.0408 memory: 4652 grad_norm: 2.9276 loss: 4.3752 loss_cls: 2.9312 loss_bbox: 1.4440 +2024/10/29 19:36:57 - mmengine - INFO - Epoch(train) [49][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:56:20 time: 0.4402 data_time: 0.0407 memory: 4652 grad_norm: 2.8428 loss: 4.3830 loss_cls: 2.9148 loss_bbox: 1.4683 +2024/10/29 19:37:19 - mmengine - INFO - Epoch(train) [49][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:55:59 time: 0.4300 data_time: 0.0465 memory: 4652 grad_norm: 2.7448 loss: 4.3898 loss_cls: 2.9301 loss_bbox: 1.4597 +2024/10/29 19:37:41 - mmengine - INFO - Epoch(train) [49][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:55:38 time: 0.4443 data_time: 0.0463 memory: 4652 grad_norm: 2.9307 loss: 4.3671 loss_cls: 2.9065 loss_bbox: 1.4606 +2024/10/29 19:38:02 - mmengine - INFO - Epoch(train) [49][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:55:16 time: 0.4190 data_time: 0.0430 memory: 4652 grad_norm: 2.7267 loss: 4.3877 loss_cls: 2.9264 loss_bbox: 1.4613 +2024/10/29 19:38:26 - mmengine - INFO - Epoch(train) [49][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:54:59 time: 0.4828 data_time: 0.1160 memory: 4652 grad_norm: 3.2431 loss: 4.3815 loss_cls: 2.9207 loss_bbox: 1.4608 +2024/10/29 19:38:48 - mmengine - INFO - Epoch(train) [49][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:54:39 time: 0.4401 data_time: 0.0394 memory: 4652 grad_norm: 2.9088 loss: 4.3663 loss_cls: 2.9248 loss_bbox: 1.4414 +2024/10/29 19:39:09 - mmengine - INFO - Epoch(train) [49][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:54:16 time: 0.4146 data_time: 0.0399 memory: 4652 grad_norm: 2.7063 loss: 4.4098 loss_cls: 2.9430 loss_bbox: 1.4668 +2024/10/29 19:39:31 - mmengine - INFO - Epoch(train) [49][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:53:55 time: 0.4372 data_time: 0.0473 memory: 4652 grad_norm: 3.0690 loss: 4.3102 loss_cls: 2.8836 loss_bbox: 1.4267 +2024/10/29 19:39:52 - mmengine - INFO - Epoch(train) [49][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:53:34 time: 0.4235 data_time: 0.0402 memory: 4652 grad_norm: 2.9104 loss: 4.4489 loss_cls: 2.9595 loss_bbox: 1.4895 +2024/10/29 19:40:13 - mmengine - INFO - Epoch(train) [49][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:53:11 time: 0.4149 data_time: 0.0435 memory: 4652 grad_norm: 2.8535 loss: 4.4218 loss_cls: 2.9368 loss_bbox: 1.4850 +2024/10/29 19:40:35 - mmengine - INFO - Epoch(train) [49][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:52:50 time: 0.4357 data_time: 0.0482 memory: 4652 grad_norm: 2.7781 loss: 4.2860 loss_cls: 2.8663 loss_bbox: 1.4198 +2024/10/29 19:40:55 - mmengine - INFO - Epoch(train) [49][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:52:28 time: 0.4163 data_time: 0.0413 memory: 4652 grad_norm: 3.0715 loss: 4.4456 loss_cls: 2.9531 loss_bbox: 1.4924 +2024/10/29 19:41:17 - mmengine - INFO - Epoch(train) [49][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:52:08 time: 0.4419 data_time: 0.0396 memory: 4652 grad_norm: 2.9290 loss: 4.3625 loss_cls: 2.8936 loss_bbox: 1.4689 +2024/10/29 19:41:21 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 19:41:40 - mmengine - INFO - Epoch(train) [49][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:51:47 time: 0.4415 data_time: 0.0453 memory: 4652 grad_norm: 2.9231 loss: 4.3152 loss_cls: 2.8980 loss_bbox: 1.4173 +2024/10/29 19:42:01 - mmengine - INFO - Epoch(train) [49][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:51:27 time: 0.4372 data_time: 0.0403 memory: 4652 grad_norm: 2.8528 loss: 4.4145 loss_cls: 2.9280 loss_bbox: 1.4865 +2024/10/29 19:42:23 - mmengine - INFO - Epoch(train) [49][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:51:06 time: 0.4392 data_time: 0.0426 memory: 4652 grad_norm: 2.8835 loss: 4.3680 loss_cls: 2.8954 loss_bbox: 1.4726 +2024/10/29 19:42:45 - mmengine - INFO - Epoch(train) [49][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:50:44 time: 0.4215 data_time: 0.0393 memory: 4652 grad_norm: 2.6741 loss: 4.3524 loss_cls: 2.9240 loss_bbox: 1.4284 +2024/10/29 19:43:07 - mmengine - INFO - Epoch(train) [49][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:50:24 time: 0.4492 data_time: 0.0398 memory: 4652 grad_norm: 2.8245 loss: 4.3301 loss_cls: 2.8915 loss_bbox: 1.4385 +2024/10/29 19:43:28 - mmengine - INFO - Epoch(train) [49][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:50:03 time: 0.4270 data_time: 0.0396 memory: 4652 grad_norm: 2.9699 loss: 4.3936 loss_cls: 2.9260 loss_bbox: 1.4676 +2024/10/29 19:43:49 - mmengine - INFO - Epoch(train) [49][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:49:41 time: 0.4229 data_time: 0.0418 memory: 4652 grad_norm: 2.8544 loss: 4.4014 loss_cls: 2.9281 loss_bbox: 1.4733 +2024/10/29 19:44:12 - mmengine - INFO - Epoch(train) [49][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:49:22 time: 0.4559 data_time: 0.0372 memory: 4652 grad_norm: 2.8946 loss: 4.3888 loss_cls: 2.9677 loss_bbox: 1.4212 +2024/10/29 19:44:33 - mmengine - INFO - Epoch(train) [49][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:48:59 time: 0.4163 data_time: 0.0368 memory: 4652 grad_norm: 2.7075 loss: 4.3582 loss_cls: 2.9020 loss_bbox: 1.4562 +2024/10/29 19:44:55 - mmengine - INFO - Epoch(train) [49][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:48:39 time: 0.4471 data_time: 0.0371 memory: 4652 grad_norm: 3.0523 loss: 4.3243 loss_cls: 2.8910 loss_bbox: 1.4333 +2024/10/29 19:45:17 - mmengine - INFO - Epoch(train) [49][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:48:18 time: 0.4318 data_time: 0.0436 memory: 4652 grad_norm: 3.0265 loss: 4.3274 loss_cls: 2.8763 loss_bbox: 1.4512 +2024/10/29 19:45:38 - mmengine - INFO - Epoch(train) [49][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:47:56 time: 0.4187 data_time: 0.0381 memory: 4652 grad_norm: 2.8487 loss: 4.3136 loss_cls: 2.8943 loss_bbox: 1.4193 +2024/10/29 19:46:01 - mmengine - INFO - Epoch(train) [49][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:47:36 time: 0.4507 data_time: 0.0435 memory: 4652 grad_norm: 2.8363 loss: 4.4034 loss_cls: 2.9360 loss_bbox: 1.4673 +2024/10/29 19:46:02 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 19:46:02 - mmengine - INFO - Saving checkpoint at 49 epochs +2024/10/29 19:46:29 - mmengine - INFO - Epoch(train) [50][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:47:12 time: 0.4165 data_time: 0.0521 memory: 4652 grad_norm: 2.9016 loss: 4.3481 loss_cls: 2.9271 loss_bbox: 1.4210 +2024/10/29 19:46:51 - mmengine - INFO - Epoch(train) [50][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:46:51 time: 0.4318 data_time: 0.0437 memory: 4652 grad_norm: 2.8469 loss: 4.4356 loss_cls: 2.9260 loss_bbox: 1.5096 +2024/10/29 19:47:12 - mmengine - INFO - Epoch(train) [50][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:46:29 time: 0.4193 data_time: 0.0388 memory: 4652 grad_norm: 2.6381 loss: 4.3791 loss_cls: 2.9335 loss_bbox: 1.4457 +2024/10/29 19:47:33 - mmengine - INFO - Epoch(train) [50][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:46:07 time: 0.4160 data_time: 0.0375 memory: 4652 grad_norm: 2.8240 loss: 4.3512 loss_cls: 2.9116 loss_bbox: 1.4396 +2024/10/29 19:47:54 - mmengine - INFO - Epoch(train) [50][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:45:45 time: 0.4220 data_time: 0.0375 memory: 4652 grad_norm: 2.7475 loss: 4.2981 loss_cls: 2.8885 loss_bbox: 1.4095 +2024/10/29 19:48:15 - mmengine - INFO - Epoch(train) [50][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:45:23 time: 0.4147 data_time: 0.0374 memory: 4652 grad_norm: 2.9733 loss: 4.3987 loss_cls: 2.9437 loss_bbox: 1.4550 +2024/10/29 19:48:38 - mmengine - INFO - Epoch(train) [50][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:45:03 time: 0.4591 data_time: 0.0485 memory: 4652 grad_norm: 2.9814 loss: 4.2729 loss_cls: 2.8355 loss_bbox: 1.4374 +2024/10/29 19:48:39 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 19:48:58 - mmengine - INFO - Epoch(train) [50][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:44:41 time: 0.4145 data_time: 0.0376 memory: 4652 grad_norm: 2.7373 loss: 4.3407 loss_cls: 2.8843 loss_bbox: 1.4564 +2024/10/29 19:49:20 - mmengine - INFO - Epoch(train) [50][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:44:20 time: 0.4296 data_time: 0.0399 memory: 4652 grad_norm: 2.8943 loss: 4.3875 loss_cls: 2.9244 loss_bbox: 1.4631 +2024/10/29 19:49:42 - mmengine - INFO - Epoch(train) [50][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:43:59 time: 0.4370 data_time: 0.0385 memory: 4652 grad_norm: 2.8424 loss: 4.2900 loss_cls: 2.8920 loss_bbox: 1.3980 +2024/10/29 19:50:02 - mmengine - INFO - Epoch(train) [50][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:43:36 time: 0.4082 data_time: 0.0371 memory: 4652 grad_norm: 2.8215 loss: 4.2519 loss_cls: 2.8317 loss_bbox: 1.4203 +2024/10/29 19:50:27 - mmengine - INFO - Epoch(train) [50][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:43:20 time: 0.4961 data_time: 0.0978 memory: 4652 grad_norm: 2.6406 loss: 4.4502 loss_cls: 2.9816 loss_bbox: 1.4686 +2024/10/29 19:50:48 - mmengine - INFO - Epoch(train) [50][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:42:58 time: 0.4218 data_time: 0.0402 memory: 4652 grad_norm: 2.8317 loss: 4.3891 loss_cls: 2.9269 loss_bbox: 1.4622 +2024/10/29 19:51:09 - mmengine - INFO - Epoch(train) [50][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:42:36 time: 0.4174 data_time: 0.0373 memory: 4652 grad_norm: 2.7655 loss: 4.4087 loss_cls: 2.9359 loss_bbox: 1.4728 +2024/10/29 19:51:31 - mmengine - INFO - Epoch(train) [50][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:42:14 time: 0.4316 data_time: 0.0424 memory: 4652 grad_norm: 2.6570 loss: 4.3574 loss_cls: 2.9067 loss_bbox: 1.4506 +2024/10/29 19:51:51 - mmengine - INFO - Epoch(train) [50][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:41:52 time: 0.4166 data_time: 0.0375 memory: 4652 grad_norm: 2.7919 loss: 4.2742 loss_cls: 2.8577 loss_bbox: 1.4165 +2024/10/29 19:52:13 - mmengine - INFO - Epoch(train) [50][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:41:31 time: 0.4297 data_time: 0.0445 memory: 4652 grad_norm: 2.9655 loss: 4.3642 loss_cls: 2.9123 loss_bbox: 1.4519 +2024/10/29 19:52:33 - mmengine - INFO - Epoch(train) [50][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:41:08 time: 0.4119 data_time: 0.0362 memory: 4652 grad_norm: 3.0154 loss: 4.3543 loss_cls: 2.8834 loss_bbox: 1.4710 +2024/10/29 19:52:56 - mmengine - INFO - Epoch(train) [50][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:40:48 time: 0.4427 data_time: 0.0419 memory: 4652 grad_norm: 2.8349 loss: 4.2467 loss_cls: 2.8470 loss_bbox: 1.3997 +2024/10/29 19:53:17 - mmengine - INFO - Epoch(train) [50][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:40:26 time: 0.4250 data_time: 0.0398 memory: 4652 grad_norm: 2.7640 loss: 4.3888 loss_cls: 2.9240 loss_bbox: 1.4648 +2024/10/29 19:53:38 - mmengine - INFO - Epoch(train) [50][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:40:04 time: 0.4201 data_time: 0.0354 memory: 4652 grad_norm: 2.8666 loss: 4.3851 loss_cls: 2.9224 loss_bbox: 1.4627 +2024/10/29 19:54:00 - mmengine - INFO - Epoch(train) [50][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:39:44 time: 0.4378 data_time: 0.0369 memory: 4652 grad_norm: 2.7858 loss: 4.3265 loss_cls: 2.8891 loss_bbox: 1.4374 +2024/10/29 19:54:21 - mmengine - INFO - Epoch(train) [50][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:39:22 time: 0.4277 data_time: 0.0388 memory: 4652 grad_norm: 2.9946 loss: 4.3499 loss_cls: 2.9034 loss_bbox: 1.4465 +2024/10/29 19:54:44 - mmengine - INFO - Epoch(train) [50][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:39:02 time: 0.4498 data_time: 0.0385 memory: 4652 grad_norm: 2.9369 loss: 4.3515 loss_cls: 2.9034 loss_bbox: 1.4481 +2024/10/29 19:55:05 - mmengine - INFO - Epoch(train) [50][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:38:41 time: 0.4267 data_time: 0.0408 memory: 4652 grad_norm: 2.7995 loss: 4.4191 loss_cls: 2.9242 loss_bbox: 1.4949 +2024/10/29 19:55:28 - mmengine - INFO - Epoch(train) [50][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:38:22 time: 0.4626 data_time: 0.0781 memory: 4652 grad_norm: 2.8025 loss: 4.4216 loss_cls: 2.9563 loss_bbox: 1.4652 +2024/10/29 19:55:49 - mmengine - INFO - Epoch(train) [50][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:38:00 time: 0.4253 data_time: 0.0367 memory: 4652 grad_norm: 2.6168 loss: 4.2551 loss_cls: 2.8529 loss_bbox: 1.4022 +2024/10/29 19:55:51 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 19:56:10 - mmengine - INFO - Epoch(train) [50][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:37:38 time: 0.4178 data_time: 0.0389 memory: 4652 grad_norm: 2.8321 loss: 4.3207 loss_cls: 2.8828 loss_bbox: 1.4379 +2024/10/29 19:56:33 - mmengine - INFO - Epoch(train) [50][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:37:18 time: 0.4445 data_time: 0.0385 memory: 4652 grad_norm: 2.7252 loss: 4.2903 loss_cls: 2.8970 loss_bbox: 1.3933 +2024/10/29 19:56:54 - mmengine - INFO - Epoch(train) [50][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:36:56 time: 0.4239 data_time: 0.0385 memory: 4652 grad_norm: 2.8688 loss: 4.4380 loss_cls: 2.9766 loss_bbox: 1.4614 +2024/10/29 19:57:16 - mmengine - INFO - Epoch(train) [50][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:36:35 time: 0.4370 data_time: 0.0459 memory: 4652 grad_norm: 2.7821 loss: 4.3611 loss_cls: 2.9178 loss_bbox: 1.4433 +2024/10/29 19:57:37 - mmengine - INFO - Epoch(train) [50][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:36:13 time: 0.4201 data_time: 0.0430 memory: 4652 grad_norm: 2.9159 loss: 4.3481 loss_cls: 2.9030 loss_bbox: 1.4450 +2024/10/29 19:57:58 - mmengine - INFO - Epoch(train) [50][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:35:52 time: 0.4306 data_time: 0.0458 memory: 4652 grad_norm: 2.8952 loss: 4.3737 loss_cls: 2.9550 loss_bbox: 1.4187 +2024/10/29 19:58:21 - mmengine - INFO - Epoch(train) [50][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:35:32 time: 0.4499 data_time: 0.0395 memory: 4652 grad_norm: 3.0682 loss: 4.3446 loss_cls: 2.9074 loss_bbox: 1.4372 +2024/10/29 19:58:42 - mmengine - INFO - Epoch(train) [50][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:35:10 time: 0.4189 data_time: 0.0378 memory: 4652 grad_norm: 2.8943 loss: 4.3021 loss_cls: 2.8749 loss_bbox: 1.4272 +2024/10/29 19:59:03 - mmengine - INFO - Epoch(train) [50][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:34:49 time: 0.4293 data_time: 0.0390 memory: 4652 grad_norm: 2.8468 loss: 4.3585 loss_cls: 2.9358 loss_bbox: 1.4228 +2024/10/29 19:59:28 - mmengine - INFO - Epoch(train) [50][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:34:32 time: 0.4917 data_time: 0.0907 memory: 4652 grad_norm: 2.9210 loss: 4.4775 loss_cls: 2.9614 loss_bbox: 1.5161 +2024/10/29 19:59:49 - mmengine - INFO - Epoch(train) [50][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:34:10 time: 0.4212 data_time: 0.0402 memory: 4652 grad_norm: 3.0573 loss: 4.2633 loss_cls: 2.8737 loss_bbox: 1.3896 +2024/10/29 20:00:11 - mmengine - INFO - Epoch(train) [50][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:33:50 time: 0.4505 data_time: 0.0449 memory: 4652 grad_norm: 2.6938 loss: 4.3143 loss_cls: 2.8924 loss_bbox: 1.4219 +2024/10/29 20:00:32 - mmengine - INFO - Epoch(train) [50][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:33:28 time: 0.4181 data_time: 0.0371 memory: 4652 grad_norm: 2.9902 loss: 4.2946 loss_cls: 2.8649 loss_bbox: 1.4297 +2024/10/29 20:00:54 - mmengine - INFO - Epoch(train) [50][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:33:07 time: 0.4360 data_time: 0.0389 memory: 4652 grad_norm: 2.8904 loss: 4.3116 loss_cls: 2.8531 loss_bbox: 1.4585 +2024/10/29 20:01:16 - mmengine - INFO - Epoch(train) [50][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:32:47 time: 0.4404 data_time: 0.0446 memory: 4652 grad_norm: 2.9824 loss: 4.3947 loss_cls: 2.9217 loss_bbox: 1.4730 +2024/10/29 20:01:38 - mmengine - INFO - Epoch(train) [50][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:32:26 time: 0.4286 data_time: 0.0418 memory: 4652 grad_norm: 3.0305 loss: 4.3688 loss_cls: 2.9403 loss_bbox: 1.4285 +2024/10/29 20:01:59 - mmengine - INFO - Epoch(train) [50][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:32:05 time: 0.4381 data_time: 0.0432 memory: 4652 grad_norm: 2.8481 loss: 4.3819 loss_cls: 2.9507 loss_bbox: 1.4313 +2024/10/29 20:02:21 - mmengine - INFO - Epoch(train) [50][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:31:43 time: 0.4242 data_time: 0.0427 memory: 4652 grad_norm: 2.7711 loss: 4.4415 loss_cls: 2.9660 loss_bbox: 1.4755 +2024/10/29 20:02:42 - mmengine - INFO - Epoch(train) [50][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:31:22 time: 0.4346 data_time: 0.0374 memory: 4652 grad_norm: 2.9731 loss: 4.3697 loss_cls: 2.9335 loss_bbox: 1.4362 +2024/10/29 20:03:04 - mmengine - INFO - Epoch(train) [50][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:31:01 time: 0.4337 data_time: 0.0393 memory: 4652 grad_norm: 2.7813 loss: 4.3850 loss_cls: 2.8982 loss_bbox: 1.4868 +2024/10/29 20:03:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 20:03:28 - mmengine - INFO - Epoch(train) [50][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:30:43 time: 0.4756 data_time: 0.0791 memory: 4652 grad_norm: 2.9251 loss: 4.3732 loss_cls: 2.9453 loss_bbox: 1.4279 +2024/10/29 20:03:50 - mmengine - INFO - Epoch(train) [50][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:30:23 time: 0.4482 data_time: 0.0421 memory: 4652 grad_norm: 3.1341 loss: 4.3331 loss_cls: 2.9141 loss_bbox: 1.4190 +2024/10/29 20:04:11 - mmengine - INFO - Epoch(train) [50][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:30:01 time: 0.4203 data_time: 0.0381 memory: 4652 grad_norm: 2.9468 loss: 4.4025 loss_cls: 2.9175 loss_bbox: 1.4850 +2024/10/29 20:04:34 - mmengine - INFO - Epoch(train) [50][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:29:42 time: 0.4540 data_time: 0.0423 memory: 4652 grad_norm: 2.9184 loss: 4.2498 loss_cls: 2.8527 loss_bbox: 1.3971 +2024/10/29 20:04:55 - mmengine - INFO - Epoch(train) [50][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:29:19 time: 0.4153 data_time: 0.0389 memory: 4652 grad_norm: 2.9123 loss: 4.3642 loss_cls: 2.9284 loss_bbox: 1.4358 +2024/10/29 20:05:16 - mmengine - INFO - Epoch(train) [50][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:28:58 time: 0.4309 data_time: 0.0371 memory: 4652 grad_norm: 2.9061 loss: 4.3826 loss_cls: 2.9225 loss_bbox: 1.4601 +2024/10/29 20:05:38 - mmengine - INFO - Epoch(train) [50][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:28:38 time: 0.4406 data_time: 0.0444 memory: 4652 grad_norm: 2.8069 loss: 4.3980 loss_cls: 2.9688 loss_bbox: 1.4292 +2024/10/29 20:06:00 - mmengine - INFO - Epoch(train) [50][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:28:17 time: 0.4346 data_time: 0.0416 memory: 4652 grad_norm: 2.8520 loss: 4.3894 loss_cls: 2.9219 loss_bbox: 1.4675 +2024/10/29 20:06:22 - mmengine - INFO - Epoch(train) [50][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:27:56 time: 0.4390 data_time: 0.0398 memory: 4652 grad_norm: 2.8287 loss: 4.4212 loss_cls: 2.9544 loss_bbox: 1.4668 +2024/10/29 20:06:43 - mmengine - INFO - Epoch(train) [50][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:27:35 time: 0.4274 data_time: 0.0373 memory: 4652 grad_norm: 2.9035 loss: 4.3604 loss_cls: 2.9022 loss_bbox: 1.4583 +2024/10/29 20:07:05 - mmengine - INFO - Epoch(train) [50][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:27:13 time: 0.4265 data_time: 0.0368 memory: 4652 grad_norm: 2.8022 loss: 4.3660 loss_cls: 2.9011 loss_bbox: 1.4649 +2024/10/29 20:07:28 - mmengine - INFO - Epoch(train) [50][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:26:54 time: 0.4660 data_time: 0.0615 memory: 4652 grad_norm: 2.7405 loss: 4.3310 loss_cls: 2.8913 loss_bbox: 1.4397 +2024/10/29 20:07:49 - mmengine - INFO - Epoch(train) [50][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:26:32 time: 0.4202 data_time: 0.0380 memory: 4652 grad_norm: 3.2692 loss: 4.3340 loss_cls: 2.9155 loss_bbox: 1.4185 +2024/10/29 20:08:11 - mmengine - INFO - Epoch(train) [50][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:26:12 time: 0.4391 data_time: 0.0386 memory: 4652 grad_norm: 2.8473 loss: 4.3376 loss_cls: 2.9010 loss_bbox: 1.4366 +2024/10/29 20:08:13 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 20:08:13 - mmengine - INFO - Saving checkpoint at 50 epochs +2024/10/29 20:08:21 - mmengine - INFO - Epoch(val) [50][50/79] eta: 0:00:02 time: 0.0752 data_time: 0.0079 memory: 4652 +2024/10/29 20:08:40 - mmengine - INFO - Evaluating bbox... +2024/10/29 20:10:04 - mmengine - INFO - bbox_mAP_copypaste: 0.207 0.361 0.212 0.052 0.246 0.335 +2024/10/29 20:10:06 - mmengine - INFO - Epoch(val) [50][79/79] coco/bbox_mAP: 0.2070 coco/bbox_mAP_50: 0.3610 coco/bbox_mAP_75: 0.2120 coco/bbox_mAP_s: 0.0520 coco/bbox_mAP_m: 0.2460 coco/bbox_mAP_l: 0.3350 data_time: 0.0073 time: 0.0732 +2024/10/29 20:10:28 - mmengine - INFO - Epoch(train) [51][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:25:49 time: 0.4375 data_time: 0.0662 memory: 4652 grad_norm: 2.7853 loss: 4.4196 loss_cls: 2.9540 loss_bbox: 1.4657 +2024/10/29 20:10:49 - mmengine - INFO - Epoch(train) [51][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:25:27 time: 0.4162 data_time: 0.0395 memory: 4652 grad_norm: 2.9138 loss: 4.4214 loss_cls: 2.9125 loss_bbox: 1.5089 +2024/10/29 20:11:10 - mmengine - INFO - Epoch(train) [51][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:25:05 time: 0.4223 data_time: 0.0391 memory: 4652 grad_norm: 2.9674 loss: 4.2977 loss_cls: 2.9086 loss_bbox: 1.3890 +2024/10/29 20:11:30 - mmengine - INFO - Epoch(train) [51][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:24:42 time: 0.4129 data_time: 0.0394 memory: 4652 grad_norm: 2.9204 loss: 4.3147 loss_cls: 2.8968 loss_bbox: 1.4178 +2024/10/29 20:11:52 - mmengine - INFO - Epoch(train) [51][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:24:21 time: 0.4290 data_time: 0.0467 memory: 4652 grad_norm: 2.9389 loss: 4.3125 loss_cls: 2.8844 loss_bbox: 1.4281 +2024/10/29 20:12:12 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 20:12:12 - mmengine - INFO - Epoch(train) [51][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:23:58 time: 0.4074 data_time: 0.0395 memory: 4652 grad_norm: 2.7348 loss: 4.3936 loss_cls: 2.9071 loss_bbox: 1.4865 +2024/10/29 20:12:34 - mmengine - INFO - Epoch(train) [51][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:23:37 time: 0.4303 data_time: 0.0433 memory: 4652 grad_norm: 3.1677 loss: 4.2711 loss_cls: 2.8710 loss_bbox: 1.4001 +2024/10/29 20:12:55 - mmengine - INFO - Epoch(train) [51][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:23:15 time: 0.4258 data_time: 0.0466 memory: 4652 grad_norm: 2.7104 loss: 4.3684 loss_cls: 2.9214 loss_bbox: 1.4470 +2024/10/29 20:13:16 - mmengine - INFO - Epoch(train) [51][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:22:53 time: 0.4226 data_time: 0.0408 memory: 4652 grad_norm: 2.9848 loss: 4.3592 loss_cls: 2.9335 loss_bbox: 1.4256 +2024/10/29 20:13:38 - mmengine - INFO - Epoch(train) [51][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:22:32 time: 0.4286 data_time: 0.0402 memory: 4652 grad_norm: 3.0483 loss: 4.2742 loss_cls: 2.8618 loss_bbox: 1.4124 +2024/10/29 20:13:59 - mmengine - INFO - Epoch(train) [51][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:22:10 time: 0.4199 data_time: 0.0491 memory: 4652 grad_norm: 2.9876 loss: 4.2593 loss_cls: 2.8793 loss_bbox: 1.3800 +2024/10/29 20:14:20 - mmengine - INFO - Epoch(train) [51][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:21:48 time: 0.4183 data_time: 0.0424 memory: 4652 grad_norm: 2.7692 loss: 4.3593 loss_cls: 2.9290 loss_bbox: 1.4303 +2024/10/29 20:14:42 - mmengine - INFO - Epoch(train) [51][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:21:28 time: 0.4531 data_time: 0.0517 memory: 4652 grad_norm: 2.8980 loss: 4.3520 loss_cls: 2.9094 loss_bbox: 1.4426 +2024/10/29 20:15:03 - mmengine - INFO - Epoch(train) [51][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:21:05 time: 0.4131 data_time: 0.0388 memory: 4652 grad_norm: 2.8077 loss: 4.3067 loss_cls: 2.8851 loss_bbox: 1.4217 +2024/10/29 20:15:28 - mmengine - INFO - Epoch(train) [51][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:20:49 time: 0.4967 data_time: 0.1069 memory: 4652 grad_norm: 3.0192 loss: 4.2780 loss_cls: 2.8784 loss_bbox: 1.3996 +2024/10/29 20:15:49 - mmengine - INFO - Epoch(train) [51][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:20:27 time: 0.4140 data_time: 0.0461 memory: 4652 grad_norm: 2.9306 loss: 4.2459 loss_cls: 2.8308 loss_bbox: 1.4151 +2024/10/29 20:16:09 - mmengine - INFO - Epoch(train) [51][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:20:04 time: 0.4119 data_time: 0.0391 memory: 4652 grad_norm: 3.0034 loss: 4.3937 loss_cls: 2.9303 loss_bbox: 1.4634 +2024/10/29 20:16:31 - mmengine - INFO - Epoch(train) [51][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:19:43 time: 0.4328 data_time: 0.0388 memory: 4652 grad_norm: 2.7503 loss: 4.4569 loss_cls: 3.0118 loss_bbox: 1.4451 +2024/10/29 20:16:52 - mmengine - INFO - Epoch(train) [51][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:19:21 time: 0.4269 data_time: 0.0442 memory: 4652 grad_norm: 2.9175 loss: 4.3118 loss_cls: 2.8718 loss_bbox: 1.4399 +2024/10/29 20:17:15 - mmengine - INFO - Epoch(train) [51][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:19:01 time: 0.4486 data_time: 0.0510 memory: 4652 grad_norm: 3.0255 loss: 4.4190 loss_cls: 2.9385 loss_bbox: 1.4805 +2024/10/29 20:17:35 - mmengine - INFO - Epoch(train) [51][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:18:39 time: 0.4143 data_time: 0.0389 memory: 4652 grad_norm: 2.6740 loss: 4.3327 loss_cls: 2.8833 loss_bbox: 1.4494 +2024/10/29 20:17:56 - mmengine - INFO - Epoch(train) [51][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:18:16 time: 0.4143 data_time: 0.0489 memory: 4652 grad_norm: 3.0267 loss: 4.3651 loss_cls: 2.9175 loss_bbox: 1.4475 +2024/10/29 20:18:18 - mmengine - INFO - Epoch(train) [51][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:17:55 time: 0.4334 data_time: 0.0528 memory: 4652 grad_norm: 2.6541 loss: 4.3042 loss_cls: 2.8534 loss_bbox: 1.4508 +2024/10/29 20:18:39 - mmengine - INFO - Epoch(train) [51][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:17:33 time: 0.4167 data_time: 0.0398 memory: 4652 grad_norm: 3.0619 loss: 4.4082 loss_cls: 2.9680 loss_bbox: 1.4402 +2024/10/29 20:19:01 - mmengine - INFO - Epoch(train) [51][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:17:13 time: 0.4396 data_time: 0.0504 memory: 4652 grad_norm: 2.8662 loss: 4.3389 loss_cls: 2.9109 loss_bbox: 1.4280 +2024/10/29 20:19:22 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 20:19:22 - mmengine - INFO - Epoch(train) [51][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:16:51 time: 0.4245 data_time: 0.0431 memory: 4652 grad_norm: 3.0585 loss: 4.3540 loss_cls: 2.9179 loss_bbox: 1.4361 +2024/10/29 20:19:42 - mmengine - INFO - Epoch(train) [51][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:16:28 time: 0.4069 data_time: 0.0408 memory: 4652 grad_norm: 2.8420 loss: 4.3233 loss_cls: 2.8810 loss_bbox: 1.4423 +2024/10/29 20:20:04 - mmengine - INFO - Epoch(train) [51][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:16:06 time: 0.4282 data_time: 0.0480 memory: 4652 grad_norm: 2.9978 loss: 4.3328 loss_cls: 2.8893 loss_bbox: 1.4435 +2024/10/29 20:20:26 - mmengine - INFO - Epoch(train) [51][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:15:47 time: 0.4517 data_time: 0.0747 memory: 4652 grad_norm: 2.9623 loss: 4.4109 loss_cls: 2.9277 loss_bbox: 1.4832 +2024/10/29 20:20:48 - mmengine - INFO - Epoch(train) [51][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:15:26 time: 0.4390 data_time: 0.0431 memory: 4652 grad_norm: 2.6623 loss: 4.4438 loss_cls: 2.9464 loss_bbox: 1.4974 +2024/10/29 20:21:09 - mmengine - INFO - Epoch(train) [51][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:15:04 time: 0.4254 data_time: 0.0468 memory: 4652 grad_norm: 3.0030 loss: 4.3387 loss_cls: 2.8935 loss_bbox: 1.4451 +2024/10/29 20:21:31 - mmengine - INFO - Epoch(train) [51][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:14:43 time: 0.4243 data_time: 0.0388 memory: 4652 grad_norm: 2.9189 loss: 4.2899 loss_cls: 2.8906 loss_bbox: 1.3993 +2024/10/29 20:21:52 - mmengine - INFO - Epoch(train) [51][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:14:21 time: 0.4196 data_time: 0.0382 memory: 4652 grad_norm: 2.8992 loss: 4.3775 loss_cls: 2.9331 loss_bbox: 1.4444 +2024/10/29 20:22:12 - mmengine - INFO - Epoch(train) [51][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:13:58 time: 0.4073 data_time: 0.0394 memory: 4652 grad_norm: 3.1699 loss: 4.4168 loss_cls: 2.9074 loss_bbox: 1.5094 +2024/10/29 20:22:34 - mmengine - INFO - Epoch(train) [51][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:13:37 time: 0.4341 data_time: 0.0385 memory: 4652 grad_norm: 2.7786 loss: 4.3522 loss_cls: 2.9004 loss_bbox: 1.4519 +2024/10/29 20:22:55 - mmengine - INFO - Epoch(train) [51][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:13:14 time: 0.4155 data_time: 0.0389 memory: 4652 grad_norm: 2.7913 loss: 4.3181 loss_cls: 2.9005 loss_bbox: 1.4175 +2024/10/29 20:23:16 - mmengine - INFO - Epoch(train) [51][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:12:54 time: 0.4360 data_time: 0.0433 memory: 4652 grad_norm: 2.8314 loss: 4.4134 loss_cls: 2.9542 loss_bbox: 1.4592 +2024/10/29 20:23:37 - mmengine - INFO - Epoch(train) [51][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:12:32 time: 0.4205 data_time: 0.0401 memory: 4652 grad_norm: 2.8618 loss: 4.3703 loss_cls: 2.9103 loss_bbox: 1.4601 +2024/10/29 20:23:58 - mmengine - INFO - Epoch(train) [51][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:12:09 time: 0.4046 data_time: 0.0399 memory: 4652 grad_norm: 3.0092 loss: 4.3718 loss_cls: 2.9022 loss_bbox: 1.4696 +2024/10/29 20:24:19 - mmengine - INFO - Epoch(train) [51][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:11:47 time: 0.4272 data_time: 0.0399 memory: 4652 grad_norm: 3.1535 loss: 4.2851 loss_cls: 2.8325 loss_bbox: 1.4526 +2024/10/29 20:24:40 - mmengine - INFO - Epoch(train) [51][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:11:24 time: 0.4116 data_time: 0.0405 memory: 4652 grad_norm: 3.1106 loss: 4.3160 loss_cls: 2.8757 loss_bbox: 1.4402 +2024/10/29 20:25:00 - mmengine - INFO - Epoch(train) [51][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:11:02 time: 0.4151 data_time: 0.0473 memory: 4652 grad_norm: 3.2017 loss: 4.3217 loss_cls: 2.9025 loss_bbox: 1.4192 +2024/10/29 20:25:22 - mmengine - INFO - Epoch(train) [51][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:10:41 time: 0.4374 data_time: 0.0511 memory: 4652 grad_norm: 2.9405 loss: 4.4327 loss_cls: 2.9458 loss_bbox: 1.4869 +2024/10/29 20:25:43 - mmengine - INFO - Epoch(train) [51][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:10:19 time: 0.4112 data_time: 0.0538 memory: 4652 grad_norm: 2.9987 loss: 4.2485 loss_cls: 2.8493 loss_bbox: 1.3991 +2024/10/29 20:26:04 - mmengine - INFO - Epoch(train) [51][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:09:56 time: 0.4176 data_time: 0.0471 memory: 4652 grad_norm: 3.0422 loss: 4.2777 loss_cls: 2.8941 loss_bbox: 1.3836 +2024/10/29 20:26:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 20:26:26 - mmengine - INFO - Epoch(train) [51][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:09:37 time: 0.4530 data_time: 0.0778 memory: 4652 grad_norm: 2.8245 loss: 4.4155 loss_cls: 2.9664 loss_bbox: 1.4491 +2024/10/29 20:26:47 - mmengine - INFO - Epoch(train) [51][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:09:14 time: 0.4098 data_time: 0.0496 memory: 4652 grad_norm: 3.0318 loss: 4.2680 loss_cls: 2.8875 loss_bbox: 1.3805 +2024/10/29 20:27:08 - mmengine - INFO - Epoch(train) [51][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:08:52 time: 0.4211 data_time: 0.0421 memory: 4652 grad_norm: 2.7700 loss: 4.4008 loss_cls: 2.9636 loss_bbox: 1.4372 +2024/10/29 20:27:30 - mmengine - INFO - Epoch(train) [51][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:08:31 time: 0.4336 data_time: 0.0455 memory: 4652 grad_norm: 2.7242 loss: 4.3853 loss_cls: 2.9161 loss_bbox: 1.4692 +2024/10/29 20:27:50 - mmengine - INFO - Epoch(train) [51][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:08:09 time: 0.4169 data_time: 0.0407 memory: 4652 grad_norm: 3.1585 loss: 4.4328 loss_cls: 2.9551 loss_bbox: 1.4777 +2024/10/29 20:28:11 - mmengine - INFO - Epoch(train) [51][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:07:46 time: 0.4132 data_time: 0.0405 memory: 4652 grad_norm: 2.9916 loss: 4.3293 loss_cls: 2.8812 loss_bbox: 1.4481 +2024/10/29 20:28:32 - mmengine - INFO - Epoch(train) [51][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:07:25 time: 0.4248 data_time: 0.0421 memory: 4652 grad_norm: 2.9352 loss: 4.3169 loss_cls: 2.9003 loss_bbox: 1.4165 +2024/10/29 20:28:54 - mmengine - INFO - Epoch(train) [51][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:07:03 time: 0.4295 data_time: 0.0392 memory: 4652 grad_norm: 2.6800 loss: 4.3740 loss_cls: 2.9328 loss_bbox: 1.4412 +2024/10/29 20:29:15 - mmengine - INFO - Epoch(train) [51][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:06:42 time: 0.4307 data_time: 0.0406 memory: 4652 grad_norm: 3.0633 loss: 4.3475 loss_cls: 2.9220 loss_bbox: 1.4255 +2024/10/29 20:29:37 - mmengine - INFO - Epoch(train) [51][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:06:21 time: 0.4257 data_time: 0.0485 memory: 4652 grad_norm: 2.8137 loss: 4.4427 loss_cls: 2.9558 loss_bbox: 1.4869 +2024/10/29 20:29:58 - mmengine - INFO - Epoch(train) [51][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:05:59 time: 0.4263 data_time: 0.0498 memory: 4652 grad_norm: 2.8082 loss: 4.3860 loss_cls: 2.9389 loss_bbox: 1.4472 +2024/10/29 20:30:19 - mmengine - INFO - Epoch(train) [51][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:05:37 time: 0.4211 data_time: 0.0462 memory: 4652 grad_norm: 2.8192 loss: 4.3557 loss_cls: 2.9218 loss_bbox: 1.4338 +2024/10/29 20:30:40 - mmengine - INFO - Epoch(train) [51][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:05:14 time: 0.4092 data_time: 0.0407 memory: 4652 grad_norm: 2.9849 loss: 4.3307 loss_cls: 2.8514 loss_bbox: 1.4794 +2024/10/29 20:31:01 - mmengine - INFO - Epoch(train) [51][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:04:53 time: 0.4271 data_time: 0.0427 memory: 4652 grad_norm: 2.7628 loss: 4.3554 loss_cls: 2.9055 loss_bbox: 1.4499 +2024/10/29 20:31:26 - mmengine - INFO - Epoch(train) [51][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:04:37 time: 0.5108 data_time: 0.1191 memory: 4652 grad_norm: 2.8472 loss: 4.3419 loss_cls: 2.8914 loss_bbox: 1.4505 +2024/10/29 20:31:48 - mmengine - INFO - Epoch(train) [51][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:04:15 time: 0.4211 data_time: 0.0454 memory: 4652 grad_norm: 2.7941 loss: 4.3193 loss_cls: 2.8826 loss_bbox: 1.4367 +2024/10/29 20:31:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 20:31:49 - mmengine - INFO - Saving checkpoint at 51 epochs +2024/10/29 20:32:15 - mmengine - INFO - Epoch(train) [52][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:03:52 time: 0.4238 data_time: 0.0600 memory: 4652 grad_norm: 3.0239 loss: 4.2944 loss_cls: 2.8765 loss_bbox: 1.4180 +2024/10/29 20:32:35 - mmengine - INFO - Epoch(train) [52][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:03:29 time: 0.4071 data_time: 0.0398 memory: 4652 grad_norm: 2.8540 loss: 4.3504 loss_cls: 2.9096 loss_bbox: 1.4407 +2024/10/29 20:32:56 - mmengine - INFO - Epoch(train) [52][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:03:07 time: 0.4208 data_time: 0.0456 memory: 4652 grad_norm: 2.8064 loss: 4.3584 loss_cls: 2.9229 loss_bbox: 1.4356 +2024/10/29 20:33:17 - mmengine - INFO - Epoch(train) [52][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:02:45 time: 0.4178 data_time: 0.0410 memory: 4652 grad_norm: 2.8464 loss: 4.3609 loss_cls: 2.8989 loss_bbox: 1.4621 +2024/10/29 20:33:37 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 20:33:39 - mmengine - INFO - Epoch(train) [52][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:02:23 time: 0.4243 data_time: 0.0516 memory: 4652 grad_norm: 2.7681 loss: 4.3309 loss_cls: 2.8996 loss_bbox: 1.4313 +2024/10/29 20:34:00 - mmengine - INFO - Epoch(train) [52][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:02:01 time: 0.4192 data_time: 0.0428 memory: 4652 grad_norm: 2.8451 loss: 4.2509 loss_cls: 2.8618 loss_bbox: 1.3891 +2024/10/29 20:34:21 - mmengine - INFO - Epoch(train) [52][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:01:39 time: 0.4195 data_time: 0.0455 memory: 4652 grad_norm: 2.9202 loss: 4.3663 loss_cls: 2.9061 loss_bbox: 1.4602 +2024/10/29 20:34:41 - mmengine - INFO - Epoch(train) [52][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:01:17 time: 0.4173 data_time: 0.0431 memory: 4652 grad_norm: 2.8676 loss: 4.4024 loss_cls: 2.9374 loss_bbox: 1.4650 +2024/10/29 20:35:03 - mmengine - INFO - Epoch(train) [52][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:00:55 time: 0.4222 data_time: 0.0390 memory: 4652 grad_norm: 2.9701 loss: 4.3157 loss_cls: 2.8947 loss_bbox: 1.4210 +2024/10/29 20:35:27 - mmengine - INFO - Epoch(train) [52][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:00:38 time: 0.4880 data_time: 0.1115 memory: 4652 grad_norm: 2.9523 loss: 4.3889 loss_cls: 2.9711 loss_bbox: 1.4178 +2024/10/29 20:35:48 - mmengine - INFO - Epoch(train) [52][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:00:16 time: 0.4154 data_time: 0.0462 memory: 4652 grad_norm: 2.8918 loss: 4.3371 loss_cls: 2.8766 loss_bbox: 1.4606 +2024/10/29 20:36:08 - mmengine - INFO - Epoch(train) [52][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:59:53 time: 0.4079 data_time: 0.0405 memory: 4652 grad_norm: 2.9264 loss: 4.2972 loss_cls: 2.9283 loss_bbox: 1.3689 +2024/10/29 20:36:29 - mmengine - INFO - Epoch(train) [52][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:59:31 time: 0.4172 data_time: 0.0461 memory: 4652 grad_norm: 2.9796 loss: 4.3437 loss_cls: 2.8922 loss_bbox: 1.4515 +2024/10/29 20:36:50 - mmengine - INFO - Epoch(train) [52][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:59:08 time: 0.4117 data_time: 0.0414 memory: 4652 grad_norm: 2.8211 loss: 4.3938 loss_cls: 2.9498 loss_bbox: 1.4440 +2024/10/29 20:37:10 - mmengine - INFO - Epoch(train) [52][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:58:46 time: 0.4138 data_time: 0.0403 memory: 4652 grad_norm: 2.8123 loss: 4.4031 loss_cls: 2.9288 loss_bbox: 1.4743 +2024/10/29 20:37:31 - mmengine - INFO - Epoch(train) [52][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:58:24 time: 0.4208 data_time: 0.0423 memory: 4652 grad_norm: 2.9867 loss: 4.2838 loss_cls: 2.8628 loss_bbox: 1.4210 +2024/10/29 20:37:52 - mmengine - INFO - Epoch(train) [52][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:58:01 time: 0.4129 data_time: 0.0415 memory: 4652 grad_norm: 3.1124 loss: 4.3585 loss_cls: 2.8891 loss_bbox: 1.4694 +2024/10/29 20:38:12 - mmengine - INFO - Epoch(train) [52][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:57:38 time: 0.4098 data_time: 0.0405 memory: 4652 grad_norm: 2.9815 loss: 4.4425 loss_cls: 2.9649 loss_bbox: 1.4776 +2024/10/29 20:38:34 - mmengine - INFO - Epoch(train) [52][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:57:18 time: 0.4374 data_time: 0.0558 memory: 4652 grad_norm: 2.8727 loss: 4.4620 loss_cls: 2.9514 loss_bbox: 1.5106 +2024/10/29 20:38:55 - mmengine - INFO - Epoch(train) [52][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:56:55 time: 0.4135 data_time: 0.0403 memory: 4652 grad_norm: 2.7621 loss: 4.3801 loss_cls: 2.9210 loss_bbox: 1.4591 +2024/10/29 20:39:16 - mmengine - INFO - Epoch(train) [52][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:56:34 time: 0.4245 data_time: 0.0405 memory: 4652 grad_norm: 2.6072 loss: 4.3735 loss_cls: 2.9464 loss_bbox: 1.4272 +2024/10/29 20:39:37 - mmengine - INFO - Epoch(train) [52][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:56:11 time: 0.4129 data_time: 0.0407 memory: 4652 grad_norm: 3.0868 loss: 4.3213 loss_cls: 2.9197 loss_bbox: 1.4017 +2024/10/29 20:39:58 - mmengine - INFO - Epoch(train) [52][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:55:49 time: 0.4134 data_time: 0.0409 memory: 4652 grad_norm: 2.9394 loss: 4.4900 loss_cls: 2.9717 loss_bbox: 1.5183 +2024/10/29 20:40:19 - mmengine - INFO - Epoch(train) [52][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:55:26 time: 0.4171 data_time: 0.0444 memory: 4652 grad_norm: 2.9236 loss: 4.3763 loss_cls: 2.9275 loss_bbox: 1.4488 +2024/10/29 20:40:37 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 20:40:39 - mmengine - INFO - Epoch(train) [52][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:55:04 time: 0.4141 data_time: 0.0457 memory: 4652 grad_norm: 2.8889 loss: 4.3106 loss_cls: 2.8807 loss_bbox: 1.4299 +2024/10/29 20:41:00 - mmengine - INFO - Epoch(train) [52][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:54:42 time: 0.4201 data_time: 0.0485 memory: 4652 grad_norm: 2.9081 loss: 4.3156 loss_cls: 2.8620 loss_bbox: 1.4535 +2024/10/29 20:41:20 - mmengine - INFO - Epoch(train) [52][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:54:19 time: 0.4040 data_time: 0.0454 memory: 4652 grad_norm: 2.8389 loss: 4.4480 loss_cls: 2.9347 loss_bbox: 1.5132 +2024/10/29 20:41:41 - mmengine - INFO - Epoch(train) [52][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:53:57 time: 0.4155 data_time: 0.0404 memory: 4652 grad_norm: 2.8879 loss: 4.3932 loss_cls: 2.9274 loss_bbox: 1.4658 +2024/10/29 20:42:02 - mmengine - INFO - Epoch(train) [52][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:53:35 time: 0.4183 data_time: 0.0431 memory: 4652 grad_norm: 3.0528 loss: 4.3116 loss_cls: 2.9039 loss_bbox: 1.4078 +2024/10/29 20:42:27 - mmengine - INFO - Epoch(train) [52][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:53:18 time: 0.5035 data_time: 0.1343 memory: 4652 grad_norm: 2.8034 loss: 4.3735 loss_cls: 2.9747 loss_bbox: 1.3988 +2024/10/29 20:42:49 - mmengine - INFO - Epoch(train) [52][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:52:57 time: 0.4347 data_time: 0.0431 memory: 4652 grad_norm: 2.9286 loss: 4.2860 loss_cls: 2.8969 loss_bbox: 1.3891 +2024/10/29 20:43:09 - mmengine - INFO - Epoch(train) [52][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:52:34 time: 0.4010 data_time: 0.0404 memory: 4652 grad_norm: 2.9693 loss: 4.3705 loss_cls: 2.9208 loss_bbox: 1.4497 +2024/10/29 20:43:30 - mmengine - INFO - Epoch(train) [52][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:52:13 time: 0.4264 data_time: 0.0392 memory: 4652 grad_norm: 2.9209 loss: 4.3652 loss_cls: 2.9278 loss_bbox: 1.4374 +2024/10/29 20:43:51 - mmengine - INFO - Epoch(train) [52][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:51:50 time: 0.4179 data_time: 0.0404 memory: 4652 grad_norm: 2.9607 loss: 4.3587 loss_cls: 2.8932 loss_bbox: 1.4655 +2024/10/29 20:44:13 - mmengine - INFO - Epoch(train) [52][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:51:29 time: 0.4310 data_time: 0.0479 memory: 4652 grad_norm: 2.8142 loss: 4.4731 loss_cls: 2.9392 loss_bbox: 1.5339 +2024/10/29 20:44:34 - mmengine - INFO - Epoch(train) [52][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:51:08 time: 0.4234 data_time: 0.0534 memory: 4652 grad_norm: 2.8353 loss: 4.3395 loss_cls: 2.9182 loss_bbox: 1.4214 +2024/10/29 20:44:55 - mmengine - INFO - Epoch(train) [52][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:50:45 time: 0.4165 data_time: 0.0445 memory: 4652 grad_norm: 2.8889 loss: 4.2528 loss_cls: 2.8632 loss_bbox: 1.3896 +2024/10/29 20:45:16 - mmengine - INFO - Epoch(train) [52][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:50:23 time: 0.4221 data_time: 0.0405 memory: 4652 grad_norm: 2.9524 loss: 4.3721 loss_cls: 2.9068 loss_bbox: 1.4653 +2024/10/29 20:45:36 - mmengine - INFO - Epoch(train) [52][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:50:01 time: 0.4077 data_time: 0.0488 memory: 4652 grad_norm: 2.9400 loss: 4.3854 loss_cls: 2.9110 loss_bbox: 1.4745 +2024/10/29 20:45:58 - mmengine - INFO - Epoch(train) [52][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:49:39 time: 0.4207 data_time: 0.0406 memory: 4652 grad_norm: 2.8753 loss: 4.3019 loss_cls: 2.8842 loss_bbox: 1.4177 +2024/10/29 20:46:19 - mmengine - INFO - Epoch(train) [52][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:49:17 time: 0.4220 data_time: 0.0398 memory: 4652 grad_norm: 3.0055 loss: 4.3821 loss_cls: 2.9366 loss_bbox: 1.4455 +2024/10/29 20:46:39 - mmengine - INFO - Epoch(train) [52][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:48:54 time: 0.4087 data_time: 0.0416 memory: 4652 grad_norm: 2.8692 loss: 4.4062 loss_cls: 2.9790 loss_bbox: 1.4272 +2024/10/29 20:47:00 - mmengine - INFO - Epoch(train) [52][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:48:32 time: 0.4235 data_time: 0.0492 memory: 4652 grad_norm: 2.8067 loss: 4.3675 loss_cls: 2.8894 loss_bbox: 1.4781 +2024/10/29 20:47:21 - mmengine - INFO - Epoch(train) [52][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:48:10 time: 0.4103 data_time: 0.0383 memory: 4652 grad_norm: 2.9665 loss: 4.3191 loss_cls: 2.8844 loss_bbox: 1.4348 +2024/10/29 20:47:40 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 20:47:42 - mmengine - INFO - Epoch(train) [52][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:47:48 time: 0.4160 data_time: 0.0429 memory: 4652 grad_norm: 2.6941 loss: 4.3948 loss_cls: 2.9313 loss_bbox: 1.4634 +2024/10/29 20:48:03 - mmengine - INFO - Epoch(train) [52][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:47:27 time: 0.4345 data_time: 0.0449 memory: 4652 grad_norm: 3.2041 loss: 4.4238 loss_cls: 2.9264 loss_bbox: 1.4974 +2024/10/29 20:48:27 - mmengine - INFO - Epoch(train) [52][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:47:08 time: 0.4766 data_time: 0.0974 memory: 4652 grad_norm: 2.7363 loss: 4.4066 loss_cls: 2.9050 loss_bbox: 1.5016 +2024/10/29 20:48:48 - mmengine - INFO - Epoch(train) [52][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:46:47 time: 0.4219 data_time: 0.0460 memory: 4652 grad_norm: 2.8989 loss: 4.3407 loss_cls: 2.8883 loss_bbox: 1.4524 +2024/10/29 20:49:09 - mmengine - INFO - Epoch(train) [52][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:46:24 time: 0.4108 data_time: 0.0433 memory: 4652 grad_norm: 2.8575 loss: 4.2525 loss_cls: 2.8202 loss_bbox: 1.4323 +2024/10/29 20:49:29 - mmengine - INFO - Epoch(train) [52][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:46:01 time: 0.4057 data_time: 0.0384 memory: 4652 grad_norm: 2.7561 loss: 4.4472 loss_cls: 2.9519 loss_bbox: 1.4954 +2024/10/29 20:49:50 - mmengine - INFO - Epoch(train) [52][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:45:39 time: 0.4170 data_time: 0.0467 memory: 4652 grad_norm: 2.6476 loss: 4.3580 loss_cls: 2.8913 loss_bbox: 1.4667 +2024/10/29 20:50:10 - mmengine - INFO - Epoch(train) [52][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:45:16 time: 0.4045 data_time: 0.0390 memory: 4652 grad_norm: 2.8889 loss: 4.3806 loss_cls: 2.9565 loss_bbox: 1.4241 +2024/10/29 20:50:31 - mmengine - INFO - Epoch(train) [52][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:44:54 time: 0.4193 data_time: 0.0471 memory: 4652 grad_norm: 2.9828 loss: 4.4056 loss_cls: 2.9391 loss_bbox: 1.4665 +2024/10/29 20:50:51 - mmengine - INFO - Epoch(train) [52][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:44:31 time: 0.4030 data_time: 0.0409 memory: 4652 grad_norm: 2.7908 loss: 4.4190 loss_cls: 2.9468 loss_bbox: 1.4721 +2024/10/29 20:51:12 - mmengine - INFO - Epoch(train) [52][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:44:09 time: 0.4176 data_time: 0.0436 memory: 4652 grad_norm: 2.8454 loss: 4.4316 loss_cls: 2.9419 loss_bbox: 1.4897 +2024/10/29 20:51:33 - mmengine - INFO - Epoch(train) [52][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:43:46 time: 0.4057 data_time: 0.0385 memory: 4652 grad_norm: 2.9067 loss: 4.4773 loss_cls: 2.9730 loss_bbox: 1.5043 +2024/10/29 20:51:53 - mmengine - INFO - Epoch(train) [52][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:43:23 time: 0.4048 data_time: 0.0388 memory: 4652 grad_norm: 2.8613 loss: 4.4056 loss_cls: 2.9288 loss_bbox: 1.4768 +2024/10/29 20:52:13 - mmengine - INFO - Epoch(train) [52][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:43:00 time: 0.4131 data_time: 0.0392 memory: 4652 grad_norm: 2.8223 loss: 4.3629 loss_cls: 2.9231 loss_bbox: 1.4398 +2024/10/29 20:52:33 - mmengine - INFO - Epoch(train) [52][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:42:37 time: 0.3986 data_time: 0.0384 memory: 4652 grad_norm: 2.9859 loss: 4.3338 loss_cls: 2.9021 loss_bbox: 1.4318 +2024/10/29 20:52:54 - mmengine - INFO - Epoch(train) [52][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:42:14 time: 0.4056 data_time: 0.0396 memory: 4652 grad_norm: 2.8172 loss: 4.3158 loss_cls: 2.8726 loss_bbox: 1.4432 +2024/10/29 20:53:14 - mmengine - INFO - Epoch(train) [52][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:41:51 time: 0.4067 data_time: 0.0456 memory: 4652 grad_norm: 2.8470 loss: 4.3931 loss_cls: 2.9167 loss_bbox: 1.4764 +2024/10/29 20:53:16 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 20:53:16 - mmengine - INFO - Saving checkpoint at 52 epochs +2024/10/29 20:53:42 - mmengine - INFO - Epoch(train) [53][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:41:27 time: 0.4208 data_time: 0.0524 memory: 4652 grad_norm: 2.8979 loss: 4.3148 loss_cls: 2.8912 loss_bbox: 1.4236 +2024/10/29 20:54:04 - mmengine - INFO - Epoch(train) [53][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:41:06 time: 0.4359 data_time: 0.0469 memory: 4652 grad_norm: 2.9647 loss: 4.3342 loss_cls: 2.8925 loss_bbox: 1.4417 +2024/10/29 20:54:26 - mmengine - INFO - Epoch(train) [53][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:40:47 time: 0.4589 data_time: 0.0910 memory: 4652 grad_norm: 2.9536 loss: 4.3005 loss_cls: 2.8490 loss_bbox: 1.4515 +2024/10/29 20:54:43 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 20:54:47 - mmengine - INFO - Epoch(train) [53][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:40:25 time: 0.4148 data_time: 0.0483 memory: 4652 grad_norm: 2.7796 loss: 4.4247 loss_cls: 2.9208 loss_bbox: 1.5039 +2024/10/29 20:55:07 - mmengine - INFO - Epoch(train) [53][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:40:02 time: 0.4006 data_time: 0.0380 memory: 4652 grad_norm: 2.7173 loss: 4.2944 loss_cls: 2.8534 loss_bbox: 1.4410 +2024/10/29 20:55:27 - mmengine - INFO - Epoch(train) [53][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:39:38 time: 0.4021 data_time: 0.0389 memory: 4652 grad_norm: 2.8399 loss: 4.3405 loss_cls: 2.8649 loss_bbox: 1.4756 +2024/10/29 20:55:49 - mmengine - INFO - Epoch(train) [53][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:39:17 time: 0.4286 data_time: 0.0429 memory: 4652 grad_norm: 2.8129 loss: 4.4413 loss_cls: 2.9386 loss_bbox: 1.5027 +2024/10/29 20:56:10 - mmengine - INFO - Epoch(train) [53][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:38:55 time: 0.4176 data_time: 0.0415 memory: 4652 grad_norm: 2.7895 loss: 4.2782 loss_cls: 2.8854 loss_bbox: 1.3928 +2024/10/29 20:56:31 - mmengine - INFO - Epoch(train) [53][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:38:33 time: 0.4168 data_time: 0.0525 memory: 4652 grad_norm: 2.9789 loss: 4.4005 loss_cls: 2.9619 loss_bbox: 1.4386 +2024/10/29 20:56:52 - mmengine - INFO - Epoch(train) [53][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:38:12 time: 0.4312 data_time: 0.0393 memory: 4652 grad_norm: 2.7386 loss: 4.3029 loss_cls: 2.8853 loss_bbox: 1.4176 +2024/10/29 20:57:12 - mmengine - INFO - Epoch(train) [53][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:37:48 time: 0.3960 data_time: 0.0377 memory: 4652 grad_norm: 2.9629 loss: 4.2373 loss_cls: 2.8473 loss_bbox: 1.3900 +2024/10/29 20:57:33 - mmengine - INFO - Epoch(train) [53][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:37:26 time: 0.4251 data_time: 0.0395 memory: 4652 grad_norm: 2.9640 loss: 4.3590 loss_cls: 2.8935 loss_bbox: 1.4655 +2024/10/29 20:57:54 - mmengine - INFO - Epoch(train) [53][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:37:04 time: 0.4138 data_time: 0.0416 memory: 4652 grad_norm: 2.8075 loss: 4.3705 loss_cls: 2.9120 loss_bbox: 1.4586 +2024/10/29 20:58:16 - mmengine - INFO - Epoch(train) [53][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:36:43 time: 0.4314 data_time: 0.0390 memory: 4652 grad_norm: 2.8269 loss: 4.3155 loss_cls: 2.8661 loss_bbox: 1.4494 +2024/10/29 20:58:37 - mmengine - INFO - Epoch(train) [53][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:36:21 time: 0.4194 data_time: 0.0384 memory: 4652 grad_norm: 2.7594 loss: 4.3959 loss_cls: 2.9240 loss_bbox: 1.4719 +2024/10/29 20:58:57 - mmengine - INFO - Epoch(train) [53][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:35:58 time: 0.4078 data_time: 0.0368 memory: 4652 grad_norm: 2.7888 loss: 4.3655 loss_cls: 2.9227 loss_bbox: 1.4429 +2024/10/29 20:59:18 - mmengine - INFO - Epoch(train) [53][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:35:36 time: 0.4232 data_time: 0.0377 memory: 4652 grad_norm: 2.8650 loss: 4.3409 loss_cls: 2.9231 loss_bbox: 1.4178 +2024/10/29 20:59:39 - mmengine - INFO - Epoch(train) [53][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:35:15 time: 0.4250 data_time: 0.0426 memory: 4652 grad_norm: 2.7787 loss: 4.3660 loss_cls: 2.9157 loss_bbox: 1.4503 +2024/10/29 21:00:01 - mmengine - INFO - Epoch(train) [53][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:34:53 time: 0.4284 data_time: 0.0494 memory: 4652 grad_norm: 3.0501 loss: 4.3617 loss_cls: 2.9021 loss_bbox: 1.4595 +2024/10/29 21:00:22 - mmengine - INFO - Epoch(train) [53][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:34:31 time: 0.4188 data_time: 0.0405 memory: 4652 grad_norm: 2.7217 loss: 4.3523 loss_cls: 2.9215 loss_bbox: 1.4308 +2024/10/29 21:00:43 - mmengine - INFO - Epoch(train) [53][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:34:09 time: 0.4179 data_time: 0.0375 memory: 4652 grad_norm: 2.8529 loss: 4.3760 loss_cls: 2.9139 loss_bbox: 1.4621 +2024/10/29 21:01:03 - mmengine - INFO - Epoch(train) [53][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:33:47 time: 0.4169 data_time: 0.0373 memory: 4652 grad_norm: 2.8330 loss: 4.3006 loss_cls: 2.8627 loss_bbox: 1.4380 +2024/10/29 21:01:27 - mmengine - INFO - Epoch(train) [53][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:33:29 time: 0.4760 data_time: 0.0915 memory: 4652 grad_norm: 2.7510 loss: 4.3841 loss_cls: 2.9018 loss_bbox: 1.4822 +2024/10/29 21:01:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 21:01:49 - mmengine - INFO - Epoch(train) [53][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:33:07 time: 0.4263 data_time: 0.0461 memory: 4652 grad_norm: 2.8901 loss: 4.3796 loss_cls: 2.9542 loss_bbox: 1.4254 +2024/10/29 21:02:10 - mmengine - INFO - Epoch(train) [53][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:32:46 time: 0.4298 data_time: 0.0399 memory: 4652 grad_norm: 3.0311 loss: 4.3088 loss_cls: 2.8904 loss_bbox: 1.4184 +2024/10/29 21:02:31 - mmengine - INFO - Epoch(train) [53][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:32:24 time: 0.4147 data_time: 0.0403 memory: 4652 grad_norm: 3.0022 loss: 4.3163 loss_cls: 2.9113 loss_bbox: 1.4050 +2024/10/29 21:02:52 - mmengine - INFO - Epoch(train) [53][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:32:02 time: 0.4191 data_time: 0.0367 memory: 4652 grad_norm: 2.6443 loss: 4.5123 loss_cls: 3.0170 loss_bbox: 1.4952 +2024/10/29 21:03:13 - mmengine - INFO - Epoch(train) [53][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:31:39 time: 0.4140 data_time: 0.0378 memory: 4652 grad_norm: 2.9740 loss: 4.2733 loss_cls: 2.8648 loss_bbox: 1.4085 +2024/10/29 21:03:34 - mmengine - INFO - Epoch(train) [53][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:31:19 time: 0.4359 data_time: 0.0379 memory: 4652 grad_norm: 2.7729 loss: 4.3088 loss_cls: 2.8836 loss_bbox: 1.4252 +2024/10/29 21:03:56 - mmengine - INFO - Epoch(train) [53][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:30:57 time: 0.4263 data_time: 0.0380 memory: 4652 grad_norm: 2.8291 loss: 4.3787 loss_cls: 2.9371 loss_bbox: 1.4416 +2024/10/29 21:04:18 - mmengine - INFO - Epoch(train) [53][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:30:37 time: 0.4433 data_time: 0.0407 memory: 4652 grad_norm: 2.7946 loss: 4.2627 loss_cls: 2.8744 loss_bbox: 1.3883 +2024/10/29 21:04:40 - mmengine - INFO - Epoch(train) [53][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:30:16 time: 0.4335 data_time: 0.0395 memory: 4652 grad_norm: 3.0205 loss: 4.4284 loss_cls: 2.9646 loss_bbox: 1.4638 +2024/10/29 21:05:00 - mmengine - INFO - Epoch(train) [53][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:29:53 time: 0.4174 data_time: 0.0386 memory: 4652 grad_norm: 2.8294 loss: 4.3005 loss_cls: 2.8816 loss_bbox: 1.4189 +2024/10/29 21:05:23 - mmengine - INFO - Epoch(train) [53][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:29:34 time: 0.4501 data_time: 0.0411 memory: 4652 grad_norm: 2.9753 loss: 4.3514 loss_cls: 2.8965 loss_bbox: 1.4549 +2024/10/29 21:05:45 - mmengine - INFO - Epoch(train) [53][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:29:12 time: 0.4323 data_time: 0.0387 memory: 4652 grad_norm: 2.8456 loss: 4.3028 loss_cls: 2.8975 loss_bbox: 1.4053 +2024/10/29 21:06:07 - mmengine - INFO - Epoch(train) [53][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:28:52 time: 0.4486 data_time: 0.0493 memory: 4652 grad_norm: 2.7073 loss: 4.2729 loss_cls: 2.8471 loss_bbox: 1.4258 +2024/10/29 21:06:29 - mmengine - INFO - Epoch(train) [53][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:28:32 time: 0.4389 data_time: 0.0456 memory: 4652 grad_norm: 2.8557 loss: 4.3491 loss_cls: 2.8955 loss_bbox: 1.4536 +2024/10/29 21:06:50 - mmengine - INFO - Epoch(train) [53][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:28:10 time: 0.4253 data_time: 0.0423 memory: 4652 grad_norm: 3.1734 loss: 4.3425 loss_cls: 2.9245 loss_bbox: 1.4180 +2024/10/29 21:07:12 - mmengine - INFO - Epoch(train) [53][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:27:49 time: 0.4366 data_time: 0.0392 memory: 4652 grad_norm: 2.9890 loss: 4.3386 loss_cls: 2.9127 loss_bbox: 1.4259 +2024/10/29 21:07:34 - mmengine - INFO - Epoch(train) [53][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:27:28 time: 0.4307 data_time: 0.0409 memory: 4652 grad_norm: 2.6844 loss: 4.2748 loss_cls: 2.8733 loss_bbox: 1.4016 +2024/10/29 21:07:55 - mmengine - INFO - Epoch(train) [53][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:27:07 time: 0.4337 data_time: 0.0387 memory: 4652 grad_norm: 3.0897 loss: 4.4589 loss_cls: 3.0061 loss_bbox: 1.4528 +2024/10/29 21:08:17 - mmengine - INFO - Epoch(train) [53][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:26:46 time: 0.4389 data_time: 0.0382 memory: 4652 grad_norm: 2.7202 loss: 4.2345 loss_cls: 2.8550 loss_bbox: 1.3796 +2024/10/29 21:08:39 - mmengine - INFO - Epoch(train) [53][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:26:25 time: 0.4358 data_time: 0.0494 memory: 4652 grad_norm: 2.7620 loss: 4.4287 loss_cls: 2.9545 loss_bbox: 1.4743 +2024/10/29 21:08:58 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 21:09:02 - mmengine - INFO - Epoch(train) [53][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:26:06 time: 0.4614 data_time: 0.0501 memory: 4652 grad_norm: 2.8315 loss: 4.4394 loss_cls: 2.9482 loss_bbox: 1.4913 +2024/10/29 21:09:27 - mmengine - INFO - Epoch(train) [53][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:25:49 time: 0.4889 data_time: 0.1058 memory: 4652 grad_norm: 2.7940 loss: 4.2992 loss_cls: 2.8621 loss_bbox: 1.4371 +2024/10/29 21:09:49 - mmengine - INFO - Epoch(train) [53][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:25:29 time: 0.4532 data_time: 0.0490 memory: 4652 grad_norm: 2.8550 loss: 4.3604 loss_cls: 2.9175 loss_bbox: 1.4429 +2024/10/29 21:10:11 - mmengine - INFO - Epoch(train) [53][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:25:08 time: 0.4379 data_time: 0.0393 memory: 4652 grad_norm: 2.8839 loss: 4.2590 loss_cls: 2.8726 loss_bbox: 1.3864 +2024/10/29 21:10:33 - mmengine - INFO - Epoch(train) [53][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:24:48 time: 0.4434 data_time: 0.0596 memory: 4652 grad_norm: 2.9465 loss: 4.3117 loss_cls: 2.8577 loss_bbox: 1.4540 +2024/10/29 21:10:56 - mmengine - INFO - Epoch(train) [53][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:24:28 time: 0.4492 data_time: 0.0449 memory: 4652 grad_norm: 2.8370 loss: 4.2707 loss_cls: 2.8942 loss_bbox: 1.3765 +2024/10/29 21:11:18 - mmengine - INFO - Epoch(train) [53][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:24:07 time: 0.4342 data_time: 0.0396 memory: 4652 grad_norm: 2.9121 loss: 4.3698 loss_cls: 2.9151 loss_bbox: 1.4548 +2024/10/29 21:11:40 - mmengine - INFO - Epoch(train) [53][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:23:46 time: 0.4433 data_time: 0.0468 memory: 4652 grad_norm: 3.0727 loss: 4.4099 loss_cls: 2.9402 loss_bbox: 1.4696 +2024/10/29 21:12:02 - mmengine - INFO - Epoch(train) [53][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:23:26 time: 0.4364 data_time: 0.0421 memory: 4652 grad_norm: 3.0422 loss: 4.3709 loss_cls: 2.9238 loss_bbox: 1.4471 +2024/10/29 21:12:29 - mmengine - INFO - Epoch(train) [53][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:23:12 time: 0.5460 data_time: 0.1414 memory: 4652 grad_norm: 2.8124 loss: 4.2962 loss_cls: 2.8706 loss_bbox: 1.4256 +2024/10/29 21:12:51 - mmengine - INFO - Epoch(train) [53][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:22:52 time: 0.4483 data_time: 0.0428 memory: 4652 grad_norm: 3.0364 loss: 4.4001 loss_cls: 2.9640 loss_bbox: 1.4360 +2024/10/29 21:13:13 - mmengine - INFO - Epoch(train) [53][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:22:31 time: 0.4362 data_time: 0.0425 memory: 4652 grad_norm: 2.7119 loss: 4.3416 loss_cls: 2.9300 loss_bbox: 1.4116 +2024/10/29 21:13:36 - mmengine - INFO - Epoch(train) [53][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:22:11 time: 0.4553 data_time: 0.0575 memory: 4652 grad_norm: 3.1169 loss: 4.4327 loss_cls: 2.9547 loss_bbox: 1.4780 +2024/10/29 21:13:57 - mmengine - INFO - Epoch(train) [53][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:21:50 time: 0.4303 data_time: 0.0400 memory: 4652 grad_norm: 3.0819 loss: 4.3386 loss_cls: 2.9044 loss_bbox: 1.4342 +2024/10/29 21:14:20 - mmengine - INFO - Epoch(train) [53][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:21:29 time: 0.4405 data_time: 0.0474 memory: 4652 grad_norm: 2.9285 loss: 4.3612 loss_cls: 2.8970 loss_bbox: 1.4642 +2024/10/29 21:14:41 - mmengine - INFO - Epoch(train) [53][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:21:08 time: 0.4318 data_time: 0.0439 memory: 4652 grad_norm: 2.9111 loss: 4.3238 loss_cls: 2.9097 loss_bbox: 1.4142 +2024/10/29 21:15:03 - mmengine - INFO - Epoch(train) [53][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:20:47 time: 0.4277 data_time: 0.0403 memory: 4652 grad_norm: 2.9623 loss: 4.3595 loss_cls: 2.9078 loss_bbox: 1.4517 +2024/10/29 21:15:28 - mmengine - INFO - Epoch(train) [53][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:20:31 time: 0.5082 data_time: 0.1197 memory: 4652 grad_norm: 2.9112 loss: 4.3541 loss_cls: 2.8901 loss_bbox: 1.4640 +2024/10/29 21:15:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 21:15:29 - mmengine - INFO - Saving checkpoint at 53 epochs +2024/10/29 21:15:56 - mmengine - INFO - Epoch(train) [54][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:20:08 time: 0.4369 data_time: 0.0556 memory: 4652 grad_norm: 2.8653 loss: 4.3027 loss_cls: 2.8745 loss_bbox: 1.4282 +2024/10/29 21:16:17 - mmengine - INFO - Epoch(train) [54][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:19:47 time: 0.4369 data_time: 0.0366 memory: 4652 grad_norm: 2.8864 loss: 4.2139 loss_cls: 2.8287 loss_bbox: 1.3852 +2024/10/29 21:16:33 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 21:16:39 - mmengine - INFO - Epoch(train) [54][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:19:26 time: 0.4290 data_time: 0.0427 memory: 4652 grad_norm: 2.9592 loss: 4.3216 loss_cls: 2.8768 loss_bbox: 1.4449 +2024/10/29 21:17:00 - mmengine - INFO - Epoch(train) [54][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:19:04 time: 0.4297 data_time: 0.0436 memory: 4652 grad_norm: 2.9184 loss: 4.4169 loss_cls: 2.9438 loss_bbox: 1.4731 +2024/10/29 21:17:22 - mmengine - INFO - Epoch(train) [54][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:18:43 time: 0.4309 data_time: 0.0456 memory: 4652 grad_norm: 2.8178 loss: 4.3538 loss_cls: 2.9266 loss_bbox: 1.4272 +2024/10/29 21:17:44 - mmengine - INFO - Epoch(train) [54][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:18:22 time: 0.4305 data_time: 0.0421 memory: 4652 grad_norm: 2.9067 loss: 4.4391 loss_cls: 2.9426 loss_bbox: 1.4965 +2024/10/29 21:18:06 - mmengine - INFO - Epoch(train) [54][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:18:02 time: 0.4470 data_time: 0.0425 memory: 4652 grad_norm: 2.9363 loss: 4.3481 loss_cls: 2.9320 loss_bbox: 1.4161 +2024/10/29 21:18:28 - mmengine - INFO - Epoch(train) [54][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:17:41 time: 0.4331 data_time: 0.0376 memory: 4652 grad_norm: 2.8177 loss: 4.3660 loss_cls: 2.9412 loss_bbox: 1.4248 +2024/10/29 21:18:49 - mmengine - INFO - Epoch(train) [54][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:17:19 time: 0.4325 data_time: 0.0371 memory: 4652 grad_norm: 2.9163 loss: 4.3252 loss_cls: 2.8771 loss_bbox: 1.4481 +2024/10/29 21:19:10 - mmengine - INFO - Epoch(train) [54][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:16:57 time: 0.4205 data_time: 0.0363 memory: 4652 grad_norm: 2.8732 loss: 4.3277 loss_cls: 2.8658 loss_bbox: 1.4619 +2024/10/29 21:19:32 - mmengine - INFO - Epoch(train) [54][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:16:36 time: 0.4321 data_time: 0.0402 memory: 4652 grad_norm: 2.8487 loss: 4.3303 loss_cls: 2.9025 loss_bbox: 1.4278 +2024/10/29 21:19:54 - mmengine - INFO - Epoch(train) [54][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:16:16 time: 0.4510 data_time: 0.0364 memory: 4652 grad_norm: 2.8684 loss: 4.4662 loss_cls: 2.9645 loss_bbox: 1.5016 +2024/10/29 21:20:16 - mmengine - INFO - Epoch(train) [54][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:15:55 time: 0.4333 data_time: 0.0402 memory: 4652 grad_norm: 2.7575 loss: 4.3549 loss_cls: 2.8976 loss_bbox: 1.4573 +2024/10/29 21:20:38 - mmengine - INFO - Epoch(train) [54][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:15:34 time: 0.4329 data_time: 0.0366 memory: 4652 grad_norm: 2.9127 loss: 4.2568 loss_cls: 2.8766 loss_bbox: 1.3802 +2024/10/29 21:21:00 - mmengine - INFO - Epoch(train) [54][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:15:13 time: 0.4397 data_time: 0.0354 memory: 4652 grad_norm: 2.8794 loss: 4.3700 loss_cls: 2.9541 loss_bbox: 1.4159 +2024/10/29 21:21:22 - mmengine - INFO - Epoch(train) [54][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:14:53 time: 0.4355 data_time: 0.0392 memory: 4652 grad_norm: 2.8311 loss: 4.4777 loss_cls: 2.9812 loss_bbox: 1.4965 +2024/10/29 21:21:43 - mmengine - INFO - Epoch(train) [54][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:14:32 time: 0.4354 data_time: 0.0376 memory: 4652 grad_norm: 2.7753 loss: 4.3353 loss_cls: 2.8907 loss_bbox: 1.4446 +2024/10/29 21:22:05 - mmengine - INFO - Epoch(train) [54][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:14:10 time: 0.4306 data_time: 0.0358 memory: 4652 grad_norm: 2.9528 loss: 4.3920 loss_cls: 2.9518 loss_bbox: 1.4402 +2024/10/29 21:22:29 - mmengine - INFO - Epoch(train) [54][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:13:53 time: 0.4835 data_time: 0.0980 memory: 4652 grad_norm: 2.7298 loss: 4.3087 loss_cls: 2.8711 loss_bbox: 1.4376 +2024/10/29 21:22:51 - mmengine - INFO - Epoch(train) [54][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:13:32 time: 0.4380 data_time: 0.0359 memory: 4652 grad_norm: 3.1982 loss: 4.4154 loss_cls: 2.9217 loss_bbox: 1.4937 +2024/10/29 21:23:13 - mmengine - INFO - Epoch(train) [54][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:13:11 time: 0.4363 data_time: 0.0359 memory: 4652 grad_norm: 2.6623 loss: 4.4048 loss_cls: 2.9256 loss_bbox: 1.4792 +2024/10/29 21:23:35 - mmengine - INFO - Epoch(train) [54][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:12:50 time: 0.4449 data_time: 0.0436 memory: 4652 grad_norm: 2.9036 loss: 4.2818 loss_cls: 2.8487 loss_bbox: 1.4331 +2024/10/29 21:23:51 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 21:23:57 - mmengine - INFO - Epoch(train) [54][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:12:29 time: 0.4332 data_time: 0.0362 memory: 4652 grad_norm: 2.9244 loss: 4.3577 loss_cls: 2.9308 loss_bbox: 1.4269 +2024/10/29 21:24:18 - mmengine - INFO - Epoch(train) [54][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:12:08 time: 0.4325 data_time: 0.0439 memory: 4652 grad_norm: 3.0781 loss: 4.3602 loss_cls: 2.9243 loss_bbox: 1.4359 +2024/10/29 21:24:41 - mmengine - INFO - Epoch(train) [54][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:11:48 time: 0.4465 data_time: 0.0461 memory: 4652 grad_norm: 2.9053 loss: 4.3454 loss_cls: 2.9202 loss_bbox: 1.4253 +2024/10/29 21:25:04 - mmengine - INFO - Epoch(train) [54][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:11:28 time: 0.4573 data_time: 0.0555 memory: 4652 grad_norm: 2.8541 loss: 4.4196 loss_cls: 2.9459 loss_bbox: 1.4736 +2024/10/29 21:25:28 - mmengine - INFO - Epoch(train) [54][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:11:11 time: 0.4828 data_time: 0.0914 memory: 4652 grad_norm: 3.0624 loss: 4.4177 loss_cls: 2.9845 loss_bbox: 1.4332 +2024/10/29 21:25:50 - mmengine - INFO - Epoch(train) [54][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:10:51 time: 0.4545 data_time: 0.0498 memory: 4652 grad_norm: 2.8813 loss: 4.3623 loss_cls: 2.8818 loss_bbox: 1.4805 +2024/10/29 21:26:13 - mmengine - INFO - Epoch(train) [54][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:10:30 time: 0.4411 data_time: 0.0448 memory: 4652 grad_norm: 2.7396 loss: 4.3408 loss_cls: 2.8868 loss_bbox: 1.4540 +2024/10/29 21:26:34 - mmengine - INFO - Epoch(train) [54][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:10:09 time: 0.4304 data_time: 0.0384 memory: 4652 grad_norm: 2.8138 loss: 4.3685 loss_cls: 2.9430 loss_bbox: 1.4255 +2024/10/29 21:26:57 - mmengine - INFO - Epoch(train) [54][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:09:49 time: 0.4557 data_time: 0.0488 memory: 4652 grad_norm: 2.6667 loss: 4.3711 loss_cls: 2.9004 loss_bbox: 1.4707 +2024/10/29 21:27:19 - mmengine - INFO - Epoch(train) [54][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:09:28 time: 0.4348 data_time: 0.0394 memory: 4652 grad_norm: 3.1015 loss: 4.3278 loss_cls: 2.9111 loss_bbox: 1.4167 +2024/10/29 21:27:41 - mmengine - INFO - Epoch(train) [54][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:09:08 time: 0.4510 data_time: 0.0491 memory: 4652 grad_norm: 2.9679 loss: 4.4326 loss_cls: 2.9618 loss_bbox: 1.4708 +2024/10/29 21:28:03 - mmengine - INFO - Epoch(train) [54][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:08:48 time: 0.4431 data_time: 0.0484 memory: 4652 grad_norm: 2.8194 loss: 4.3462 loss_cls: 2.8955 loss_bbox: 1.4507 +2024/10/29 21:28:26 - mmengine - INFO - Epoch(train) [54][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:08:27 time: 0.4444 data_time: 0.0570 memory: 4652 grad_norm: 3.1242 loss: 4.4347 loss_cls: 2.9558 loss_bbox: 1.4789 +2024/10/29 21:28:48 - mmengine - INFO - Epoch(train) [54][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:08:07 time: 0.4394 data_time: 0.0382 memory: 4652 grad_norm: 2.7635 loss: 4.3408 loss_cls: 2.8824 loss_bbox: 1.4584 +2024/10/29 21:29:10 - mmengine - INFO - Epoch(train) [54][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:07:46 time: 0.4386 data_time: 0.0511 memory: 4652 grad_norm: 2.9209 loss: 4.3581 loss_cls: 2.9135 loss_bbox: 1.4447 +2024/10/29 21:29:31 - mmengine - INFO - Epoch(train) [54][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:07:25 time: 0.4363 data_time: 0.0400 memory: 4652 grad_norm: 2.8950 loss: 4.4040 loss_cls: 2.9153 loss_bbox: 1.4887 +2024/10/29 21:29:54 - mmengine - INFO - Epoch(train) [54][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:07:06 time: 0.4604 data_time: 0.0504 memory: 4652 grad_norm: 3.0154 loss: 4.3569 loss_cls: 2.9145 loss_bbox: 1.4424 +2024/10/29 21:30:15 - mmengine - INFO - Epoch(train) [54][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:06:44 time: 0.4222 data_time: 0.0392 memory: 4652 grad_norm: 2.8498 loss: 4.3824 loss_cls: 2.9082 loss_bbox: 1.4742 +2024/10/29 21:30:38 - mmengine - INFO - Epoch(train) [54][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:06:23 time: 0.4418 data_time: 0.0463 memory: 4652 grad_norm: 2.7042 loss: 4.3164 loss_cls: 2.9076 loss_bbox: 1.4088 +2024/10/29 21:31:00 - mmengine - INFO - Epoch(train) [54][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:06:03 time: 0.4380 data_time: 0.0392 memory: 4652 grad_norm: 2.9525 loss: 4.2626 loss_cls: 2.8310 loss_bbox: 1.4316 +2024/10/29 21:31:16 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 21:31:22 - mmengine - INFO - Epoch(train) [54][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:05:43 time: 0.4549 data_time: 0.0422 memory: 4652 grad_norm: 2.7882 loss: 4.3749 loss_cls: 2.9322 loss_bbox: 1.4427 +2024/10/29 21:31:45 - mmengine - INFO - Epoch(train) [54][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:05:23 time: 0.4504 data_time: 0.0464 memory: 4652 grad_norm: 3.1505 loss: 4.4432 loss_cls: 2.9536 loss_bbox: 1.4896 +2024/10/29 21:32:06 - mmengine - INFO - Epoch(train) [54][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:05:01 time: 0.4232 data_time: 0.0379 memory: 4652 grad_norm: 2.9725 loss: 4.3394 loss_cls: 2.9087 loss_bbox: 1.4307 +2024/10/29 21:32:29 - mmengine - INFO - Epoch(train) [54][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:04:41 time: 0.4507 data_time: 0.0393 memory: 4652 grad_norm: 2.9168 loss: 4.4102 loss_cls: 2.9440 loss_bbox: 1.4662 +2024/10/29 21:32:51 - mmengine - INFO - Epoch(train) [54][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:04:20 time: 0.4389 data_time: 0.0477 memory: 4652 grad_norm: 2.7700 loss: 4.3202 loss_cls: 2.9224 loss_bbox: 1.3978 +2024/10/29 21:33:13 - mmengine - INFO - Epoch(train) [54][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:04:00 time: 0.4538 data_time: 0.0412 memory: 4652 grad_norm: 3.0651 loss: 4.3928 loss_cls: 2.9333 loss_bbox: 1.4595 +2024/10/29 21:33:36 - mmengine - INFO - Epoch(train) [54][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:03:41 time: 0.4524 data_time: 0.0473 memory: 4652 grad_norm: 3.1133 loss: 4.2499 loss_cls: 2.8416 loss_bbox: 1.4084 +2024/10/29 21:33:58 - mmengine - INFO - Epoch(train) [54][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:03:19 time: 0.4330 data_time: 0.0389 memory: 4652 grad_norm: 2.7983 loss: 4.3430 loss_cls: 2.9351 loss_bbox: 1.4078 +2024/10/29 21:34:21 - mmengine - INFO - Epoch(train) [54][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:03:00 time: 0.4605 data_time: 0.0373 memory: 4652 grad_norm: 2.8327 loss: 4.3331 loss_cls: 2.8903 loss_bbox: 1.4428 +2024/10/29 21:34:42 - mmengine - INFO - Epoch(train) [54][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:02:39 time: 0.4327 data_time: 0.0377 memory: 4652 grad_norm: 2.8282 loss: 4.3443 loss_cls: 2.8812 loss_bbox: 1.4631 +2024/10/29 21:35:04 - mmengine - INFO - Epoch(train) [54][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:02:17 time: 0.4265 data_time: 0.0364 memory: 4652 grad_norm: 2.7739 loss: 4.3689 loss_cls: 2.9136 loss_bbox: 1.4553 +2024/10/29 21:35:29 - mmengine - INFO - Epoch(train) [54][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:02:01 time: 0.5017 data_time: 0.1001 memory: 4652 grad_norm: 2.7698 loss: 4.3653 loss_cls: 2.9350 loss_bbox: 1.4303 +2024/10/29 21:35:51 - mmengine - INFO - Epoch(train) [54][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:01:40 time: 0.4466 data_time: 0.0573 memory: 4652 grad_norm: 2.5874 loss: 4.4135 loss_cls: 2.9306 loss_bbox: 1.4829 +2024/10/29 21:36:14 - mmengine - INFO - Epoch(train) [54][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:01:21 time: 0.4548 data_time: 0.0502 memory: 4652 grad_norm: 2.8494 loss: 4.3583 loss_cls: 2.9147 loss_bbox: 1.4435 +2024/10/29 21:36:35 - mmengine - INFO - Epoch(train) [54][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:00:59 time: 0.4328 data_time: 0.0362 memory: 4652 grad_norm: 2.8011 loss: 4.3784 loss_cls: 2.9323 loss_bbox: 1.4461 +2024/10/29 21:36:58 - mmengine - INFO - Epoch(train) [54][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:00:39 time: 0.4477 data_time: 0.0385 memory: 4652 grad_norm: 2.9586 loss: 4.3308 loss_cls: 2.8942 loss_bbox: 1.4366 +2024/10/29 21:37:20 - mmengine - INFO - Epoch(train) [54][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:00:19 time: 0.4447 data_time: 0.0382 memory: 4652 grad_norm: 2.8183 loss: 4.3921 loss_cls: 2.9034 loss_bbox: 1.4887 +2024/10/29 21:37:42 - mmengine - INFO - Epoch(train) [54][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:59:58 time: 0.4378 data_time: 0.0384 memory: 4652 grad_norm: 2.9252 loss: 4.3813 loss_cls: 2.9237 loss_bbox: 1.4575 +2024/10/29 21:38:05 - mmengine - INFO - Epoch(train) [54][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:59:39 time: 0.4622 data_time: 0.0391 memory: 4652 grad_norm: 2.9474 loss: 4.3694 loss_cls: 2.9284 loss_bbox: 1.4410 +2024/10/29 21:38:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 21:38:08 - mmengine - INFO - Saving checkpoint at 54 epochs +2024/10/29 21:38:34 - mmengine - INFO - Epoch(train) [55][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:59:17 time: 0.4378 data_time: 0.0574 memory: 4652 grad_norm: 2.9040 loss: 4.3343 loss_cls: 2.8959 loss_bbox: 1.4384 +2024/10/29 21:38:48 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 21:38:56 - mmengine - INFO - Epoch(train) [55][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:58:56 time: 0.4343 data_time: 0.0414 memory: 4652 grad_norm: 2.8045 loss: 4.3926 loss_cls: 2.9081 loss_bbox: 1.4845 +2024/10/29 21:39:17 - mmengine - INFO - Epoch(train) [55][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:58:34 time: 0.4266 data_time: 0.0458 memory: 4652 grad_norm: 2.7979 loss: 4.4661 loss_cls: 2.9453 loss_bbox: 1.5208 +2024/10/29 21:39:39 - mmengine - INFO - Epoch(train) [55][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:58:14 time: 0.4415 data_time: 0.0517 memory: 4652 grad_norm: 2.7196 loss: 4.3579 loss_cls: 2.9310 loss_bbox: 1.4269 +2024/10/29 21:40:02 - mmengine - INFO - Epoch(train) [55][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:57:54 time: 0.4502 data_time: 0.0489 memory: 4652 grad_norm: 2.8818 loss: 4.4336 loss_cls: 2.9300 loss_bbox: 1.5036 +2024/10/29 21:40:26 - mmengine - INFO - Epoch(train) [55][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:57:36 time: 0.4898 data_time: 0.1043 memory: 4652 grad_norm: 2.9832 loss: 4.2700 loss_cls: 2.8658 loss_bbox: 1.4041 +2024/10/29 21:40:49 - mmengine - INFO - Epoch(train) [55][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:57:16 time: 0.4500 data_time: 0.0468 memory: 4652 grad_norm: 2.9403 loss: 4.3995 loss_cls: 2.9340 loss_bbox: 1.4655 +2024/10/29 21:41:10 - mmengine - INFO - Epoch(train) [55][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:56:55 time: 0.4272 data_time: 0.0490 memory: 4652 grad_norm: 2.9642 loss: 4.2867 loss_cls: 2.8749 loss_bbox: 1.4118 +2024/10/29 21:41:33 - mmengine - INFO - Epoch(train) [55][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:56:34 time: 0.4440 data_time: 0.0392 memory: 4652 grad_norm: 2.8435 loss: 4.3472 loss_cls: 2.9187 loss_bbox: 1.4285 +2024/10/29 21:41:55 - mmengine - INFO - Epoch(train) [55][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:56:14 time: 0.4472 data_time: 0.0403 memory: 4652 grad_norm: 2.7223 loss: 4.2899 loss_cls: 2.9014 loss_bbox: 1.3885 +2024/10/29 21:42:16 - mmengine - INFO - Epoch(train) [55][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:55:53 time: 0.4296 data_time: 0.0408 memory: 4652 grad_norm: 2.9624 loss: 4.2714 loss_cls: 2.8522 loss_bbox: 1.4191 +2024/10/29 21:42:38 - mmengine - INFO - Epoch(train) [55][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:55:32 time: 0.4391 data_time: 0.0402 memory: 4652 grad_norm: 2.9079 loss: 4.3909 loss_cls: 2.9032 loss_bbox: 1.4878 +2024/10/29 21:43:00 - mmengine - INFO - Epoch(train) [55][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:55:11 time: 0.4332 data_time: 0.0421 memory: 4652 grad_norm: 2.7629 loss: 4.3645 loss_cls: 2.9648 loss_bbox: 1.3998 +2024/10/29 21:43:23 - mmengine - INFO - Epoch(train) [55][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:54:51 time: 0.4585 data_time: 0.0448 memory: 4652 grad_norm: 2.6974 loss: 4.3170 loss_cls: 2.8725 loss_bbox: 1.4445 +2024/10/29 21:43:46 - mmengine - INFO - Epoch(train) [55][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:54:31 time: 0.4536 data_time: 0.0447 memory: 4652 grad_norm: 2.7657 loss: 4.3155 loss_cls: 2.8901 loss_bbox: 1.4254 +2024/10/29 21:44:08 - mmengine - INFO - Epoch(train) [55][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:54:11 time: 0.4431 data_time: 0.0465 memory: 4652 grad_norm: 2.7972 loss: 4.3658 loss_cls: 2.9242 loss_bbox: 1.4416 +2024/10/29 21:44:30 - mmengine - INFO - Epoch(train) [55][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:53:50 time: 0.4411 data_time: 0.0387 memory: 4652 grad_norm: 2.6724 loss: 4.3712 loss_cls: 2.8984 loss_bbox: 1.4728 +2024/10/29 21:44:52 - mmengine - INFO - Epoch(train) [55][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:53:29 time: 0.4358 data_time: 0.0455 memory: 4652 grad_norm: 2.8593 loss: 4.2965 loss_cls: 2.8714 loss_bbox: 1.4251 +2024/10/29 21:45:14 - mmengine - INFO - Epoch(train) [55][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:53:09 time: 0.4474 data_time: 0.0441 memory: 4652 grad_norm: 3.0014 loss: 4.3910 loss_cls: 2.9486 loss_bbox: 1.4424 +2024/10/29 21:45:36 - mmengine - INFO - Epoch(train) [55][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:52:48 time: 0.4376 data_time: 0.0395 memory: 4652 grad_norm: 2.7285 loss: 4.3789 loss_cls: 2.9299 loss_bbox: 1.4490 +2024/10/29 21:45:58 - mmengine - INFO - Epoch(train) [55][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:52:27 time: 0.4322 data_time: 0.0403 memory: 4652 grad_norm: 2.9214 loss: 4.4195 loss_cls: 2.9282 loss_bbox: 1.4913 +2024/10/29 21:46:13 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 21:46:20 - mmengine - INFO - Epoch(train) [55][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:52:07 time: 0.4501 data_time: 0.0452 memory: 4652 grad_norm: 3.0455 loss: 4.3015 loss_cls: 2.8932 loss_bbox: 1.4083 +2024/10/29 21:46:42 - mmengine - INFO - Epoch(train) [55][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:51:46 time: 0.4434 data_time: 0.0407 memory: 4652 grad_norm: 2.8364 loss: 4.3591 loss_cls: 2.9066 loss_bbox: 1.4525 +2024/10/29 21:47:04 - mmengine - INFO - Epoch(train) [55][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:51:25 time: 0.4402 data_time: 0.0405 memory: 4652 grad_norm: 2.9043 loss: 4.4387 loss_cls: 2.9745 loss_bbox: 1.4642 +2024/10/29 21:47:30 - mmengine - INFO - Epoch(train) [55][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:51:09 time: 0.5120 data_time: 0.1097 memory: 4652 grad_norm: 2.9150 loss: 4.3900 loss_cls: 2.9507 loss_bbox: 1.4393 +2024/10/29 21:47:52 - mmengine - INFO - Epoch(train) [55][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:50:49 time: 0.4419 data_time: 0.0411 memory: 4652 grad_norm: 2.8427 loss: 4.4265 loss_cls: 2.9392 loss_bbox: 1.4873 +2024/10/29 21:48:14 - mmengine - INFO - Epoch(train) [55][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:50:28 time: 0.4403 data_time: 0.0393 memory: 4652 grad_norm: 2.9113 loss: 4.2501 loss_cls: 2.8650 loss_bbox: 1.3851 +2024/10/29 21:48:37 - mmengine - INFO - Epoch(train) [55][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:50:08 time: 0.4467 data_time: 0.0425 memory: 4652 grad_norm: 2.8266 loss: 4.2967 loss_cls: 2.9204 loss_bbox: 1.3763 +2024/10/29 21:48:58 - mmengine - INFO - Epoch(train) [55][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:49:46 time: 0.4326 data_time: 0.0393 memory: 4652 grad_norm: 2.7963 loss: 4.3455 loss_cls: 2.8831 loss_bbox: 1.4625 +2024/10/29 21:49:21 - mmengine - INFO - Epoch(train) [55][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:49:26 time: 0.4460 data_time: 0.0475 memory: 4652 grad_norm: 2.9282 loss: 4.2994 loss_cls: 2.9194 loss_bbox: 1.3800 +2024/10/29 21:49:43 - mmengine - INFO - Epoch(train) [55][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:49:05 time: 0.4410 data_time: 0.0458 memory: 4652 grad_norm: 2.6412 loss: 4.3912 loss_cls: 2.9419 loss_bbox: 1.4493 +2024/10/29 21:50:04 - mmengine - INFO - Epoch(train) [55][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:48:45 time: 0.4375 data_time: 0.0421 memory: 4652 grad_norm: 2.7997 loss: 4.4594 loss_cls: 2.9291 loss_bbox: 1.5302 +2024/10/29 21:50:28 - mmengine - INFO - Epoch(train) [55][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:48:26 time: 0.4776 data_time: 0.0798 memory: 4652 grad_norm: 3.0646 loss: 4.4177 loss_cls: 2.9465 loss_bbox: 1.4712 +2024/10/29 21:50:50 - mmengine - INFO - Epoch(train) [55][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:48:05 time: 0.4374 data_time: 0.0465 memory: 4652 grad_norm: 2.9502 loss: 4.3423 loss_cls: 2.8977 loss_bbox: 1.4446 +2024/10/29 21:51:12 - mmengine - INFO - Epoch(train) [55][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:47:44 time: 0.4365 data_time: 0.0425 memory: 4652 grad_norm: 2.9402 loss: 4.3736 loss_cls: 2.9074 loss_bbox: 1.4662 +2024/10/29 21:51:34 - mmengine - INFO - Epoch(train) [55][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:47:24 time: 0.4410 data_time: 0.0386 memory: 4652 grad_norm: 2.8906 loss: 4.4260 loss_cls: 2.9838 loss_bbox: 1.4422 +2024/10/29 21:51:57 - mmengine - INFO - Epoch(train) [55][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:47:04 time: 0.4508 data_time: 0.0515 memory: 4652 grad_norm: 2.9585 loss: 4.3427 loss_cls: 2.8868 loss_bbox: 1.4559 +2024/10/29 21:52:19 - mmengine - INFO - Epoch(train) [55][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:46:43 time: 0.4383 data_time: 0.0388 memory: 4652 grad_norm: 2.7137 loss: 4.4017 loss_cls: 2.9558 loss_bbox: 1.4459 +2024/10/29 21:52:41 - mmengine - INFO - Epoch(train) [55][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:46:22 time: 0.4374 data_time: 0.0478 memory: 4652 grad_norm: 2.7817 loss: 4.2701 loss_cls: 2.8630 loss_bbox: 1.4071 +2024/10/29 21:53:02 - mmengine - INFO - Epoch(train) [55][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:46:01 time: 0.4338 data_time: 0.0404 memory: 4652 grad_norm: 2.8080 loss: 4.3614 loss_cls: 2.9204 loss_bbox: 1.4410 +2024/10/29 21:53:28 - mmengine - INFO - Epoch(train) [55][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:45:44 time: 0.5103 data_time: 0.1098 memory: 4652 grad_norm: 2.6674 loss: 4.3569 loss_cls: 2.8808 loss_bbox: 1.4760 +2024/10/29 21:53:43 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 21:53:50 - mmengine - INFO - Epoch(train) [55][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:45:24 time: 0.4423 data_time: 0.0365 memory: 4652 grad_norm: 2.8487 loss: 4.4126 loss_cls: 2.9482 loss_bbox: 1.4643 +2024/10/29 21:54:13 - mmengine - INFO - Epoch(train) [55][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:45:04 time: 0.4540 data_time: 0.0419 memory: 4652 grad_norm: 2.8149 loss: 4.3893 loss_cls: 2.9397 loss_bbox: 1.4496 +2024/10/29 21:54:34 - mmengine - INFO - Epoch(train) [55][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:44:43 time: 0.4367 data_time: 0.0355 memory: 4652 grad_norm: 2.9844 loss: 4.3731 loss_cls: 2.9135 loss_bbox: 1.4596 +2024/10/29 21:54:57 - mmengine - INFO - Epoch(train) [55][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:44:23 time: 0.4579 data_time: 0.0460 memory: 4652 grad_norm: 2.8137 loss: 4.2875 loss_cls: 2.9176 loss_bbox: 1.3699 +2024/10/29 21:55:20 - mmengine - INFO - Epoch(train) [55][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:44:03 time: 0.4511 data_time: 0.0366 memory: 4652 grad_norm: 3.0562 loss: 4.3575 loss_cls: 2.9075 loss_bbox: 1.4500 +2024/10/29 21:55:42 - mmengine - INFO - Epoch(train) [55][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:43:43 time: 0.4476 data_time: 0.0374 memory: 4652 grad_norm: 2.9831 loss: 4.3596 loss_cls: 2.9344 loss_bbox: 1.4252 +2024/10/29 21:56:05 - mmengine - INFO - Epoch(train) [55][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:43:23 time: 0.4587 data_time: 0.0368 memory: 4652 grad_norm: 2.7238 loss: 4.4446 loss_cls: 2.9248 loss_bbox: 1.5198 +2024/10/29 21:56:29 - mmengine - INFO - Epoch(train) [55][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:43:04 time: 0.4698 data_time: 0.0722 memory: 4652 grad_norm: 2.8445 loss: 4.3161 loss_cls: 2.8743 loss_bbox: 1.4418 +2024/10/29 21:56:51 - mmengine - INFO - Epoch(train) [55][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:42:44 time: 0.4505 data_time: 0.0360 memory: 4652 grad_norm: 2.8868 loss: 4.2861 loss_cls: 2.8651 loss_bbox: 1.4209 +2024/10/29 21:57:13 - mmengine - INFO - Epoch(train) [55][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:42:24 time: 0.4415 data_time: 0.0363 memory: 4652 grad_norm: 2.8313 loss: 4.5090 loss_cls: 2.9834 loss_bbox: 1.5256 +2024/10/29 21:57:35 - mmengine - INFO - Epoch(train) [55][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:42:03 time: 0.4384 data_time: 0.0367 memory: 4652 grad_norm: 2.8992 loss: 4.2222 loss_cls: 2.8274 loss_bbox: 1.3949 +2024/10/29 21:57:58 - mmengine - INFO - Epoch(train) [55][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:41:43 time: 0.4491 data_time: 0.0358 memory: 4652 grad_norm: 2.8084 loss: 4.3298 loss_cls: 2.8847 loss_bbox: 1.4450 +2024/10/29 21:58:20 - mmengine - INFO - Epoch(train) [55][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:41:22 time: 0.4387 data_time: 0.0377 memory: 4652 grad_norm: 3.0458 loss: 4.2669 loss_cls: 2.8844 loss_bbox: 1.3826 +2024/10/29 21:58:42 - mmengine - INFO - Epoch(train) [55][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:41:01 time: 0.4455 data_time: 0.0400 memory: 4652 grad_norm: 2.7281 loss: 4.2833 loss_cls: 2.8918 loss_bbox: 1.3915 +2024/10/29 21:59:04 - mmengine - INFO - Epoch(train) [55][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:40:41 time: 0.4417 data_time: 0.0374 memory: 4652 grad_norm: 3.0469 loss: 4.3624 loss_cls: 2.9051 loss_bbox: 1.4573 +2024/10/29 21:59:28 - mmengine - INFO - Epoch(train) [55][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:40:22 time: 0.4760 data_time: 0.0690 memory: 4652 grad_norm: 2.9145 loss: 4.3909 loss_cls: 2.9456 loss_bbox: 1.4452 +2024/10/29 21:59:50 - mmengine - INFO - Epoch(train) [55][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:40:02 time: 0.4456 data_time: 0.0441 memory: 4652 grad_norm: 3.0651 loss: 4.3752 loss_cls: 2.9244 loss_bbox: 1.4508 +2024/10/29 22:00:13 - mmengine - INFO - Epoch(train) [55][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:39:41 time: 0.4485 data_time: 0.0476 memory: 4652 grad_norm: 2.7765 loss: 4.4304 loss_cls: 2.9564 loss_bbox: 1.4739 +2024/10/29 22:00:35 - mmengine - INFO - Epoch(train) [55][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:39:21 time: 0.4472 data_time: 0.0456 memory: 4652 grad_norm: 2.8387 loss: 4.3184 loss_cls: 2.8568 loss_bbox: 1.4615 +2024/10/29 22:00:57 - mmengine - INFO - Epoch(train) [55][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:39:00 time: 0.4282 data_time: 0.0377 memory: 4652 grad_norm: 2.9442 loss: 4.2973 loss_cls: 2.8814 loss_bbox: 1.4159 +2024/10/29 22:00:58 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 22:00:58 - mmengine - INFO - Saving checkpoint at 55 epochs +2024/10/29 22:01:11 - mmengine - INFO - Epoch(val) [55][50/79] eta: 0:00:02 time: 0.0727 data_time: 0.0075 memory: 4652 +2024/10/29 22:01:30 - mmengine - INFO - Evaluating bbox... +2024/10/29 22:02:45 - mmengine - INFO - bbox_mAP_copypaste: 0.205 0.362 0.210 0.051 0.242 0.330 +2024/10/29 22:02:46 - mmengine - INFO - Epoch(val) [55][79/79] coco/bbox_mAP: 0.2050 coco/bbox_mAP_50: 0.3620 coco/bbox_mAP_75: 0.2100 coco/bbox_mAP_s: 0.0510 coco/bbox_mAP_m: 0.2420 coco/bbox_mAP_l: 0.3300 data_time: 0.0071 time: 0.0715 +2024/10/29 22:03:00 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 22:03:09 - mmengine - INFO - Epoch(train) [56][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:38:38 time: 0.4571 data_time: 0.0666 memory: 4652 grad_norm: 2.9550 loss: 4.2964 loss_cls: 2.8745 loss_bbox: 1.4219 +2024/10/29 22:03:30 - mmengine - INFO - Epoch(train) [56][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:38:17 time: 0.4218 data_time: 0.0462 memory: 4652 grad_norm: 2.9482 loss: 4.3334 loss_cls: 2.9068 loss_bbox: 1.4266 +2024/10/29 22:03:51 - mmengine - INFO - Epoch(train) [56][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:37:55 time: 0.4238 data_time: 0.0471 memory: 4652 grad_norm: 2.8535 loss: 4.2794 loss_cls: 2.8722 loss_bbox: 1.4073 +2024/10/29 22:04:13 - mmengine - INFO - Epoch(train) [56][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:37:33 time: 0.4277 data_time: 0.0383 memory: 4652 grad_norm: 2.9135 loss: 4.3047 loss_cls: 2.8823 loss_bbox: 1.4225 +2024/10/29 22:04:33 - mmengine - INFO - Epoch(train) [56][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:37:10 time: 0.4048 data_time: 0.0390 memory: 4652 grad_norm: 2.9838 loss: 4.2863 loss_cls: 2.8797 loss_bbox: 1.4065 +2024/10/29 22:04:55 - mmengine - INFO - Epoch(train) [56][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:36:49 time: 0.4363 data_time: 0.0414 memory: 4652 grad_norm: 3.0485 loss: 4.3051 loss_cls: 2.8856 loss_bbox: 1.4195 +2024/10/29 22:05:16 - mmengine - INFO - Epoch(train) [56][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:36:28 time: 0.4352 data_time: 0.0406 memory: 4652 grad_norm: 2.8756 loss: 4.2411 loss_cls: 2.8617 loss_bbox: 1.3794 +2024/10/29 22:05:38 - mmengine - INFO - Epoch(train) [56][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:36:07 time: 0.4252 data_time: 0.0377 memory: 4652 grad_norm: 2.6896 loss: 4.4146 loss_cls: 2.9312 loss_bbox: 1.4834 +2024/10/29 22:05:59 - mmengine - INFO - Epoch(train) [56][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:35:45 time: 0.4176 data_time: 0.0368 memory: 4652 grad_norm: 3.1351 loss: 4.4414 loss_cls: 2.9749 loss_bbox: 1.4665 +2024/10/29 22:06:19 - mmengine - INFO - Epoch(train) [56][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:35:22 time: 0.4103 data_time: 0.0380 memory: 4652 grad_norm: 2.9230 loss: 4.2764 loss_cls: 2.8503 loss_bbox: 1.4261 +2024/10/29 22:06:41 - mmengine - INFO - Epoch(train) [56][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:35:01 time: 0.4371 data_time: 0.0456 memory: 4652 grad_norm: 2.8096 loss: 4.3565 loss_cls: 2.8859 loss_bbox: 1.4706 +2024/10/29 22:07:02 - mmengine - INFO - Epoch(train) [56][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:34:39 time: 0.4158 data_time: 0.0382 memory: 4652 grad_norm: 3.0142 loss: 4.3757 loss_cls: 2.9165 loss_bbox: 1.4592 +2024/10/29 22:07:26 - mmengine - INFO - Epoch(train) [56][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:34:21 time: 0.4872 data_time: 0.1018 memory: 4652 grad_norm: 2.9301 loss: 4.2968 loss_cls: 2.8636 loss_bbox: 1.4333 +2024/10/29 22:07:47 - mmengine - INFO - Epoch(train) [56][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:33:59 time: 0.4243 data_time: 0.0373 memory: 4652 grad_norm: 3.0798 loss: 4.3080 loss_cls: 2.8810 loss_bbox: 1.4270 +2024/10/29 22:08:08 - mmengine - INFO - Epoch(train) [56][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:33:36 time: 0.4035 data_time: 0.0368 memory: 4652 grad_norm: 3.0273 loss: 4.3688 loss_cls: 2.8933 loss_bbox: 1.4755 +2024/10/29 22:08:29 - mmengine - INFO - Epoch(train) [56][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:33:15 time: 0.4371 data_time: 0.0375 memory: 4652 grad_norm: 2.8352 loss: 4.3373 loss_cls: 2.8964 loss_bbox: 1.4409 +2024/10/29 22:08:50 - mmengine - INFO - Epoch(train) [56][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:32:53 time: 0.4124 data_time: 0.0379 memory: 4652 grad_norm: 2.9187 loss: 4.2912 loss_cls: 2.9091 loss_bbox: 1.3821 +2024/10/29 22:09:12 - mmengine - INFO - Epoch(train) [56][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:32:32 time: 0.4317 data_time: 0.0486 memory: 4652 grad_norm: 2.8775 loss: 4.4246 loss_cls: 2.9393 loss_bbox: 1.4854 +2024/10/29 22:09:33 - mmengine - INFO - Epoch(train) [56][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:32:10 time: 0.4198 data_time: 0.0412 memory: 4652 grad_norm: 2.9542 loss: 4.4179 loss_cls: 2.9349 loss_bbox: 1.4829 +2024/10/29 22:09:53 - mmengine - INFO - Epoch(train) [56][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:31:47 time: 0.4126 data_time: 0.0438 memory: 4652 grad_norm: 2.9276 loss: 4.3996 loss_cls: 2.9566 loss_bbox: 1.4429 +2024/10/29 22:10:06 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 22:10:15 - mmengine - INFO - Epoch(train) [56][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:31:26 time: 0.4302 data_time: 0.0420 memory: 4652 grad_norm: 2.7193 loss: 4.4013 loss_cls: 2.9134 loss_bbox: 1.4879 +2024/10/29 22:10:36 - mmengine - INFO - Epoch(train) [56][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:31:03 time: 0.4154 data_time: 0.0433 memory: 4652 grad_norm: 2.8262 loss: 4.3165 loss_cls: 2.9291 loss_bbox: 1.3874 +2024/10/29 22:10:57 - mmengine - INFO - Epoch(train) [56][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:30:42 time: 0.4304 data_time: 0.0527 memory: 4652 grad_norm: 3.0298 loss: 4.3498 loss_cls: 2.8914 loss_bbox: 1.4584 +2024/10/29 22:11:18 - mmengine - INFO - Epoch(train) [56][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:30:20 time: 0.4186 data_time: 0.0409 memory: 4652 grad_norm: 2.8616 loss: 4.3096 loss_cls: 2.8936 loss_bbox: 1.4160 +2024/10/29 22:11:39 - mmengine - INFO - Epoch(train) [56][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:29:58 time: 0.4216 data_time: 0.0442 memory: 4652 grad_norm: 2.8651 loss: 4.3223 loss_cls: 2.8766 loss_bbox: 1.4457 +2024/10/29 22:12:01 - mmengine - INFO - Epoch(train) [56][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:29:37 time: 0.4255 data_time: 0.0385 memory: 4652 grad_norm: 3.0127 loss: 4.3594 loss_cls: 2.8965 loss_bbox: 1.4629 +2024/10/29 22:12:21 - mmengine - INFO - Epoch(train) [56][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:29:14 time: 0.4140 data_time: 0.0403 memory: 4652 grad_norm: 2.6715 loss: 4.3701 loss_cls: 2.8878 loss_bbox: 1.4823 +2024/10/29 22:12:44 - mmengine - INFO - Epoch(train) [56][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:28:54 time: 0.4478 data_time: 0.0556 memory: 4652 grad_norm: 3.0195 loss: 4.3500 loss_cls: 2.9221 loss_bbox: 1.4279 +2024/10/29 22:13:04 - mmengine - INFO - Epoch(train) [56][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:28:32 time: 0.4158 data_time: 0.0396 memory: 4652 grad_norm: 2.9238 loss: 4.3052 loss_cls: 2.8684 loss_bbox: 1.4368 +2024/10/29 22:13:26 - mmengine - INFO - Epoch(train) [56][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:28:10 time: 0.4235 data_time: 0.0572 memory: 4652 grad_norm: 2.9545 loss: 4.4520 loss_cls: 2.9350 loss_bbox: 1.5170 +2024/10/29 22:13:48 - mmengine - INFO - Epoch(train) [56][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:27:49 time: 0.4397 data_time: 0.0436 memory: 4652 grad_norm: 2.6878 loss: 4.3667 loss_cls: 2.8850 loss_bbox: 1.4817 +2024/10/29 22:14:09 - mmengine - INFO - Epoch(train) [56][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:27:27 time: 0.4175 data_time: 0.0471 memory: 4652 grad_norm: 2.6878 loss: 4.3904 loss_cls: 2.9471 loss_bbox: 1.4433 +2024/10/29 22:14:30 - mmengine - INFO - Epoch(train) [56][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:27:05 time: 0.4278 data_time: 0.0466 memory: 4652 grad_norm: 3.0305 loss: 4.3757 loss_cls: 2.9070 loss_bbox: 1.4686 +2024/10/29 22:14:51 - mmengine - INFO - Epoch(train) [56][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:26:44 time: 0.4208 data_time: 0.0464 memory: 4652 grad_norm: 2.8572 loss: 4.2995 loss_cls: 2.8763 loss_bbox: 1.4232 +2024/10/29 22:15:12 - mmengine - INFO - Epoch(train) [56][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:26:22 time: 0.4235 data_time: 0.0465 memory: 4652 grad_norm: 2.8624 loss: 4.4246 loss_cls: 2.9519 loss_bbox: 1.4727 +2024/10/29 22:15:34 - mmengine - INFO - Epoch(train) [56][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:26:00 time: 0.4300 data_time: 0.0461 memory: 4652 grad_norm: 3.0319 loss: 4.2312 loss_cls: 2.8463 loss_bbox: 1.3848 +2024/10/29 22:15:55 - mmengine - INFO - Epoch(train) [56][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:25:38 time: 0.4177 data_time: 0.0437 memory: 4652 grad_norm: 2.9994 loss: 4.3327 loss_cls: 2.8921 loss_bbox: 1.4405 +2024/10/29 22:16:16 - mmengine - INFO - Epoch(train) [56][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:25:17 time: 0.4359 data_time: 0.0456 memory: 4652 grad_norm: 2.9418 loss: 4.3593 loss_cls: 2.9098 loss_bbox: 1.4496 +2024/10/29 22:16:37 - mmengine - INFO - Epoch(train) [56][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:24:55 time: 0.4106 data_time: 0.0384 memory: 4652 grad_norm: 2.9972 loss: 4.2656 loss_cls: 2.8387 loss_bbox: 1.4268 +2024/10/29 22:16:58 - mmengine - INFO - Epoch(train) [56][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:24:33 time: 0.4272 data_time: 0.0463 memory: 4652 grad_norm: 2.8851 loss: 4.4326 loss_cls: 2.9494 loss_bbox: 1.4832 +2024/10/29 22:17:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 22:17:19 - mmengine - INFO - Epoch(train) [56][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:24:10 time: 0.4053 data_time: 0.0398 memory: 4652 grad_norm: 2.8829 loss: 4.3506 loss_cls: 2.9305 loss_bbox: 1.4200 +2024/10/29 22:17:39 - mmengine - INFO - Epoch(train) [56][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:23:48 time: 0.4142 data_time: 0.0393 memory: 4652 grad_norm: 2.9102 loss: 4.3097 loss_cls: 2.8888 loss_bbox: 1.4209 +2024/10/29 22:18:02 - mmengine - INFO - Epoch(train) [56][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:23:27 time: 0.4439 data_time: 0.0446 memory: 4652 grad_norm: 2.8732 loss: 4.2789 loss_cls: 2.8875 loss_bbox: 1.3914 +2024/10/29 22:18:25 - mmengine - INFO - Epoch(train) [56][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:23:09 time: 0.4724 data_time: 0.0890 memory: 4652 grad_norm: 2.7077 loss: 4.3219 loss_cls: 2.9011 loss_bbox: 1.4207 +2024/10/29 22:18:46 - mmengine - INFO - Epoch(train) [56][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:22:47 time: 0.4236 data_time: 0.0386 memory: 4652 grad_norm: 3.0562 loss: 4.3733 loss_cls: 2.9127 loss_bbox: 1.4606 +2024/10/29 22:19:07 - mmengine - INFO - Epoch(train) [56][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:22:24 time: 0.4132 data_time: 0.0383 memory: 4652 grad_norm: 2.9412 loss: 4.2802 loss_cls: 2.8706 loss_bbox: 1.4096 +2024/10/29 22:19:28 - mmengine - INFO - Epoch(train) [56][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:22:02 time: 0.4194 data_time: 0.0371 memory: 4652 grad_norm: 2.7564 loss: 4.3597 loss_cls: 2.9459 loss_bbox: 1.4139 +2024/10/29 22:19:49 - mmengine - INFO - Epoch(train) [56][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:21:40 time: 0.4169 data_time: 0.0407 memory: 4652 grad_norm: 3.0198 loss: 4.4160 loss_cls: 2.8954 loss_bbox: 1.5206 +2024/10/29 22:20:10 - mmengine - INFO - Epoch(train) [56][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:21:19 time: 0.4230 data_time: 0.0430 memory: 4652 grad_norm: 2.9438 loss: 4.3269 loss_cls: 2.8751 loss_bbox: 1.4518 +2024/10/29 22:20:32 - mmengine - INFO - Epoch(train) [56][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:20:57 time: 0.4283 data_time: 0.0382 memory: 4652 grad_norm: 2.8928 loss: 4.3405 loss_cls: 2.9159 loss_bbox: 1.4246 +2024/10/29 22:20:52 - mmengine - INFO - Epoch(train) [56][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:20:35 time: 0.4111 data_time: 0.0373 memory: 4652 grad_norm: 2.8577 loss: 4.3860 loss_cls: 2.9150 loss_bbox: 1.4710 +2024/10/29 22:21:14 - mmengine - INFO - Epoch(train) [56][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:20:13 time: 0.4328 data_time: 0.0378 memory: 4652 grad_norm: 2.9610 loss: 4.3954 loss_cls: 2.9119 loss_bbox: 1.4834 +2024/10/29 22:21:35 - mmengine - INFO - Epoch(train) [56][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:19:52 time: 0.4236 data_time: 0.0390 memory: 4652 grad_norm: 2.8480 loss: 4.2836 loss_cls: 2.8421 loss_bbox: 1.4415 +2024/10/29 22:21:57 - mmengine - INFO - Epoch(train) [56][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:19:31 time: 0.4393 data_time: 0.0474 memory: 4652 grad_norm: 2.8387 loss: 4.3697 loss_cls: 2.8960 loss_bbox: 1.4737 +2024/10/29 22:22:19 - mmengine - INFO - Epoch(train) [56][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:19:10 time: 0.4390 data_time: 0.0377 memory: 4652 grad_norm: 2.7351 loss: 4.3700 loss_cls: 2.9058 loss_bbox: 1.4643 +2024/10/29 22:22:40 - mmengine - INFO - Epoch(train) [56][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:18:48 time: 0.4146 data_time: 0.0379 memory: 4652 grad_norm: 3.0136 loss: 4.3163 loss_cls: 2.9268 loss_bbox: 1.3895 +2024/10/29 22:23:01 - mmengine - INFO - Epoch(train) [56][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:18:27 time: 0.4361 data_time: 0.0459 memory: 4652 grad_norm: 2.7513 loss: 4.3630 loss_cls: 2.8617 loss_bbox: 1.5014 +2024/10/29 22:23:25 - mmengine - INFO - Epoch(train) [56][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:18:08 time: 0.4772 data_time: 0.0989 memory: 4652 grad_norm: 2.8439 loss: 4.4370 loss_cls: 2.9736 loss_bbox: 1.4634 +2024/10/29 22:23:47 - mmengine - INFO - Epoch(train) [56][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:17:47 time: 0.4337 data_time: 0.0401 memory: 4652 grad_norm: 2.9344 loss: 4.3402 loss_cls: 2.8780 loss_bbox: 1.4622 +2024/10/29 22:24:09 - mmengine - INFO - Epoch(train) [56][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:17:26 time: 0.4329 data_time: 0.0453 memory: 4652 grad_norm: 2.9746 loss: 4.2677 loss_cls: 2.8293 loss_bbox: 1.4384 +2024/10/29 22:24:21 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 22:24:29 - mmengine - INFO - Epoch(train) [56][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:17:03 time: 0.4146 data_time: 0.0349 memory: 4652 grad_norm: 2.8306 loss: 4.3322 loss_cls: 2.8850 loss_bbox: 1.4472 +2024/10/29 22:24:31 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 22:24:31 - mmengine - INFO - Saving checkpoint at 56 epochs +2024/10/29 22:25:01 - mmengine - INFO - Epoch(train) [57][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:16:43 time: 0.4734 data_time: 0.0559 memory: 4652 grad_norm: 2.9841 loss: 4.3864 loss_cls: 2.9289 loss_bbox: 1.4575 +2024/10/29 22:25:22 - mmengine - INFO - Epoch(train) [57][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:16:21 time: 0.4233 data_time: 0.0393 memory: 4652 grad_norm: 2.9736 loss: 4.3702 loss_cls: 2.8769 loss_bbox: 1.4934 +2024/10/29 22:25:43 - mmengine - INFO - Epoch(train) [57][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:15:59 time: 0.4196 data_time: 0.0373 memory: 4652 grad_norm: 2.9020 loss: 4.3008 loss_cls: 2.8788 loss_bbox: 1.4220 +2024/10/29 22:26:05 - mmengine - INFO - Epoch(train) [57][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:15:39 time: 0.4408 data_time: 0.0640 memory: 4652 grad_norm: 3.0808 loss: 4.3173 loss_cls: 2.9085 loss_bbox: 1.4088 +2024/10/29 22:26:27 - mmengine - INFO - Epoch(train) [57][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:15:18 time: 0.4412 data_time: 0.0543 memory: 4652 grad_norm: 2.8182 loss: 4.3046 loss_cls: 2.8653 loss_bbox: 1.4392 +2024/10/29 22:26:47 - mmengine - INFO - Epoch(train) [57][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:14:55 time: 0.4076 data_time: 0.0403 memory: 4652 grad_norm: 3.1381 loss: 4.3518 loss_cls: 2.8915 loss_bbox: 1.4602 +2024/10/29 22:27:09 - mmengine - INFO - Epoch(train) [57][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:14:34 time: 0.4311 data_time: 0.0492 memory: 4652 grad_norm: 2.7712 loss: 4.4206 loss_cls: 2.9445 loss_bbox: 1.4761 +2024/10/29 22:27:31 - mmengine - INFO - Epoch(train) [57][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:14:13 time: 0.4333 data_time: 0.0369 memory: 4652 grad_norm: 2.9927 loss: 4.4227 loss_cls: 2.9549 loss_bbox: 1.4678 +2024/10/29 22:27:52 - mmengine - INFO - Epoch(train) [57][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:13:51 time: 0.4254 data_time: 0.0446 memory: 4652 grad_norm: 2.9914 loss: 4.3109 loss_cls: 2.8777 loss_bbox: 1.4332 +2024/10/29 22:28:12 - mmengine - INFO - Epoch(train) [57][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:13:29 time: 0.4117 data_time: 0.0373 memory: 4652 grad_norm: 3.1930 loss: 4.3574 loss_cls: 2.9073 loss_bbox: 1.4501 +2024/10/29 22:28:34 - mmengine - INFO - Epoch(train) [57][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:13:07 time: 0.4214 data_time: 0.0362 memory: 4652 grad_norm: 2.7801 loss: 4.2329 loss_cls: 2.8239 loss_bbox: 1.4090 +2024/10/29 22:28:54 - mmengine - INFO - Epoch(train) [57][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:12:45 time: 0.4179 data_time: 0.0458 memory: 4652 grad_norm: 2.9707 loss: 4.3326 loss_cls: 2.9083 loss_bbox: 1.4244 +2024/10/29 22:29:16 - mmengine - INFO - Epoch(train) [57][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:12:23 time: 0.4313 data_time: 0.0417 memory: 4652 grad_norm: 2.8883 loss: 4.3080 loss_cls: 2.8754 loss_bbox: 1.4325 +2024/10/29 22:29:37 - mmengine - INFO - Epoch(train) [57][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:12:01 time: 0.4158 data_time: 0.0368 memory: 4652 grad_norm: 2.8847 loss: 4.3580 loss_cls: 2.9172 loss_bbox: 1.4408 +2024/10/29 22:29:58 - mmengine - INFO - Epoch(train) [57][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:11:39 time: 0.4164 data_time: 0.0385 memory: 4652 grad_norm: 2.8764 loss: 4.4355 loss_cls: 2.9313 loss_bbox: 1.5041 +2024/10/29 22:30:19 - mmengine - INFO - Epoch(train) [57][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:11:17 time: 0.4255 data_time: 0.0464 memory: 4652 grad_norm: 2.9244 loss: 4.4377 loss_cls: 2.9284 loss_bbox: 1.5093 +2024/10/29 22:30:40 - mmengine - INFO - Epoch(train) [57][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:10:55 time: 0.4160 data_time: 0.0387 memory: 4652 grad_norm: 2.8035 loss: 4.3455 loss_cls: 2.9043 loss_bbox: 1.4412 +2024/10/29 22:31:01 - mmengine - INFO - Epoch(train) [57][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:10:34 time: 0.4301 data_time: 0.0396 memory: 4652 grad_norm: 2.8910 loss: 4.3169 loss_cls: 2.9177 loss_bbox: 1.3991 +2024/10/29 22:31:27 - mmengine - INFO - Epoch(train) [57][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:10:17 time: 0.5108 data_time: 0.1245 memory: 4652 grad_norm: 2.8318 loss: 4.3857 loss_cls: 2.9136 loss_bbox: 1.4721 +2024/10/29 22:31:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 22:31:49 - mmengine - INFO - Epoch(train) [57][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:09:56 time: 0.4333 data_time: 0.0423 memory: 4652 grad_norm: 3.0057 loss: 4.3997 loss_cls: 2.9263 loss_bbox: 1.4735 +2024/10/29 22:32:10 - mmengine - INFO - Epoch(train) [57][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:09:34 time: 0.4290 data_time: 0.0386 memory: 4652 grad_norm: 2.7751 loss: 4.3371 loss_cls: 2.9164 loss_bbox: 1.4207 +2024/10/29 22:32:31 - mmengine - INFO - Epoch(train) [57][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:09:12 time: 0.4102 data_time: 0.0409 memory: 4652 grad_norm: 2.8208 loss: 4.3935 loss_cls: 2.9237 loss_bbox: 1.4698 +2024/10/29 22:32:52 - mmengine - INFO - Epoch(train) [57][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:08:51 time: 0.4362 data_time: 0.0379 memory: 4652 grad_norm: 2.9651 loss: 4.3071 loss_cls: 2.9024 loss_bbox: 1.4048 +2024/10/29 22:33:13 - mmengine - INFO - Epoch(train) [57][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:08:29 time: 0.4148 data_time: 0.0389 memory: 4652 grad_norm: 3.2107 loss: 4.3607 loss_cls: 2.9023 loss_bbox: 1.4584 +2024/10/29 22:33:35 - mmengine - INFO - Epoch(train) [57][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:08:07 time: 0.4337 data_time: 0.0487 memory: 4652 grad_norm: 2.8945 loss: 4.3129 loss_cls: 2.8767 loss_bbox: 1.4363 +2024/10/29 22:33:56 - mmengine - INFO - Epoch(train) [57][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:07:46 time: 0.4266 data_time: 0.0478 memory: 4652 grad_norm: 2.9303 loss: 4.3552 loss_cls: 2.9039 loss_bbox: 1.4512 +2024/10/29 22:34:17 - mmengine - INFO - Epoch(train) [57][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:07:24 time: 0.4195 data_time: 0.0389 memory: 4652 grad_norm: 2.9394 loss: 4.3905 loss_cls: 2.9314 loss_bbox: 1.4590 +2024/10/29 22:34:38 - mmengine - INFO - Epoch(train) [57][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:07:02 time: 0.4237 data_time: 0.0403 memory: 4652 grad_norm: 2.6199 loss: 4.4150 loss_cls: 2.9620 loss_bbox: 1.4529 +2024/10/29 22:34:59 - mmengine - INFO - Epoch(train) [57][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:06:40 time: 0.4161 data_time: 0.0390 memory: 4652 grad_norm: 3.0697 loss: 4.2891 loss_cls: 2.8665 loss_bbox: 1.4226 +2024/10/29 22:35:21 - mmengine - INFO - Epoch(train) [57][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:06:19 time: 0.4343 data_time: 0.0494 memory: 4652 grad_norm: 2.8992 loss: 4.3824 loss_cls: 2.9270 loss_bbox: 1.4554 +2024/10/29 22:35:43 - mmengine - INFO - Epoch(train) [57][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:05:58 time: 0.4370 data_time: 0.0587 memory: 4652 grad_norm: 2.7447 loss: 4.2754 loss_cls: 2.8781 loss_bbox: 1.3974 +2024/10/29 22:36:04 - mmengine - INFO - Epoch(train) [57][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:05:36 time: 0.4189 data_time: 0.0409 memory: 4652 grad_norm: 2.9361 loss: 4.3033 loss_cls: 2.8785 loss_bbox: 1.4249 +2024/10/29 22:36:26 - mmengine - INFO - Epoch(train) [57][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:05:15 time: 0.4440 data_time: 0.0703 memory: 4652 grad_norm: 2.8831 loss: 4.3562 loss_cls: 2.9010 loss_bbox: 1.4552 +2024/10/29 22:36:47 - mmengine - INFO - Epoch(train) [57][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:04:53 time: 0.4179 data_time: 0.0434 memory: 4652 grad_norm: 2.8625 loss: 4.3029 loss_cls: 2.8726 loss_bbox: 1.4304 +2024/10/29 22:37:08 - mmengine - INFO - Epoch(train) [57][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:04:32 time: 0.4288 data_time: 0.0411 memory: 4652 grad_norm: 2.7983 loss: 4.3926 loss_cls: 2.9180 loss_bbox: 1.4747 +2024/10/29 22:37:30 - mmengine - INFO - Epoch(train) [57][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:04:10 time: 0.4279 data_time: 0.0421 memory: 4652 grad_norm: 2.9967 loss: 4.3218 loss_cls: 2.8935 loss_bbox: 1.4283 +2024/10/29 22:37:52 - mmengine - INFO - Epoch(train) [57][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:03:49 time: 0.4399 data_time: 0.0436 memory: 4652 grad_norm: 2.8100 loss: 4.3027 loss_cls: 2.8840 loss_bbox: 1.4188 +2024/10/29 22:38:13 - mmengine - INFO - Epoch(train) [57][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:03:28 time: 0.4282 data_time: 0.0400 memory: 4652 grad_norm: 2.7480 loss: 4.3172 loss_cls: 2.8947 loss_bbox: 1.4226 +2024/10/29 22:38:34 - mmengine - INFO - Epoch(train) [57][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:03:06 time: 0.4246 data_time: 0.0392 memory: 4652 grad_norm: 3.0916 loss: 4.3872 loss_cls: 2.9160 loss_bbox: 1.4712 +2024/10/29 22:38:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 22:38:56 - mmengine - INFO - Epoch(train) [57][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:02:45 time: 0.4255 data_time: 0.0396 memory: 4652 grad_norm: 2.7985 loss: 4.4179 loss_cls: 2.9121 loss_bbox: 1.5058 +2024/10/29 22:39:17 - mmengine - INFO - Epoch(train) [57][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:02:23 time: 0.4181 data_time: 0.0395 memory: 4652 grad_norm: 2.6999 loss: 4.4819 loss_cls: 2.9467 loss_bbox: 1.5352 +2024/10/29 22:39:38 - mmengine - INFO - Epoch(train) [57][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:02:01 time: 0.4234 data_time: 0.0395 memory: 4652 grad_norm: 3.0224 loss: 4.3639 loss_cls: 2.9196 loss_bbox: 1.4443 +2024/10/29 22:39:59 - mmengine - INFO - Epoch(train) [57][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:01:39 time: 0.4290 data_time: 0.0444 memory: 4652 grad_norm: 2.9029 loss: 4.4233 loss_cls: 2.9556 loss_bbox: 1.4677 +2024/10/29 22:40:21 - mmengine - INFO - Epoch(train) [57][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:01:18 time: 0.4271 data_time: 0.0387 memory: 4652 grad_norm: 2.9004 loss: 4.3244 loss_cls: 2.8559 loss_bbox: 1.4685 +2024/10/29 22:40:42 - mmengine - INFO - Epoch(train) [57][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:00:57 time: 0.4302 data_time: 0.0404 memory: 4652 grad_norm: 2.8238 loss: 4.3118 loss_cls: 2.8842 loss_bbox: 1.4276 +2024/10/29 22:41:03 - mmengine - INFO - Epoch(train) [57][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:00:35 time: 0.4221 data_time: 0.0400 memory: 4652 grad_norm: 2.9898 loss: 4.3109 loss_cls: 2.8492 loss_bbox: 1.4617 +2024/10/29 22:41:26 - mmengine - INFO - Epoch(train) [57][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:00:15 time: 0.4527 data_time: 0.0651 memory: 4652 grad_norm: 2.6619 loss: 4.3607 loss_cls: 2.9158 loss_bbox: 1.4449 +2024/10/29 22:41:48 - mmengine - INFO - Epoch(train) [57][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:59:53 time: 0.4329 data_time: 0.0431 memory: 4652 grad_norm: 2.8628 loss: 4.3176 loss_cls: 2.8980 loss_bbox: 1.4196 +2024/10/29 22:42:10 - mmengine - INFO - Epoch(train) [57][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:59:33 time: 0.4552 data_time: 0.0511 memory: 4652 grad_norm: 2.8680 loss: 4.3936 loss_cls: 2.9218 loss_bbox: 1.4718 +2024/10/29 22:42:33 - mmengine - INFO - Epoch(train) [57][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:59:13 time: 0.4411 data_time: 0.0497 memory: 4652 grad_norm: 2.8467 loss: 4.2751 loss_cls: 2.8716 loss_bbox: 1.4035 +2024/10/29 22:42:53 - mmengine - INFO - Epoch(train) [57][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:58:50 time: 0.4096 data_time: 0.0401 memory: 4652 grad_norm: 3.3002 loss: 4.3102 loss_cls: 2.8891 loss_bbox: 1.4211 +2024/10/29 22:43:15 - mmengine - INFO - Epoch(train) [57][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:58:29 time: 0.4421 data_time: 0.0413 memory: 4652 grad_norm: 2.8659 loss: 4.3882 loss_cls: 2.9205 loss_bbox: 1.4676 +2024/10/29 22:43:37 - mmengine - INFO - Epoch(train) [57][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:58:09 time: 0.4469 data_time: 0.0533 memory: 4652 grad_norm: 3.0971 loss: 4.3005 loss_cls: 2.8761 loss_bbox: 1.4243 +2024/10/29 22:43:59 - mmengine - INFO - Epoch(train) [57][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:57:48 time: 0.4392 data_time: 0.0457 memory: 4652 grad_norm: 2.9691 loss: 4.3299 loss_cls: 2.8758 loss_bbox: 1.4541 +2024/10/29 22:44:22 - mmengine - INFO - Epoch(train) [57][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:57:28 time: 0.4490 data_time: 0.0523 memory: 4652 grad_norm: 3.0142 loss: 4.4527 loss_cls: 2.9682 loss_bbox: 1.4845 +2024/10/29 22:44:43 - mmengine - INFO - Epoch(train) [57][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:57:06 time: 0.4239 data_time: 0.0392 memory: 4652 grad_norm: 2.8707 loss: 4.4497 loss_cls: 2.9760 loss_bbox: 1.4737 +2024/10/29 22:45:04 - mmengine - INFO - Epoch(train) [57][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:56:44 time: 0.4223 data_time: 0.0415 memory: 4652 grad_norm: 3.0526 loss: 4.3249 loss_cls: 2.9285 loss_bbox: 1.3963 +2024/10/29 22:45:27 - mmengine - INFO - Epoch(train) [57][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:56:24 time: 0.4480 data_time: 0.0616 memory: 4652 grad_norm: 2.8134 loss: 4.4127 loss_cls: 2.9437 loss_bbox: 1.4689 +2024/10/29 22:45:48 - mmengine - INFO - Epoch(train) [57][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:56:03 time: 0.4339 data_time: 0.0398 memory: 4652 grad_norm: 3.1856 loss: 4.3601 loss_cls: 2.9098 loss_bbox: 1.4503 +2024/10/29 22:45:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 22:46:10 - mmengine - INFO - Epoch(train) [57][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:55:42 time: 0.4299 data_time: 0.0443 memory: 4652 grad_norm: 2.9508 loss: 4.4264 loss_cls: 2.9555 loss_bbox: 1.4709 +2024/10/29 22:46:31 - mmengine - INFO - Epoch(train) [57][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:55:20 time: 0.4282 data_time: 0.0497 memory: 4652 grad_norm: 2.9033 loss: 4.3926 loss_cls: 2.9456 loss_bbox: 1.4470 +2024/10/29 22:46:33 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 22:46:33 - mmengine - INFO - Saving checkpoint at 57 epochs +2024/10/29 22:47:00 - mmengine - INFO - Epoch(train) [58][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:54:57 time: 0.4369 data_time: 0.0594 memory: 4652 grad_norm: 2.9211 loss: 4.3904 loss_cls: 2.9250 loss_bbox: 1.4654 +2024/10/29 22:47:21 - mmengine - INFO - Epoch(train) [58][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:54:35 time: 0.4167 data_time: 0.0437 memory: 4652 grad_norm: 2.6651 loss: 4.2931 loss_cls: 2.8732 loss_bbox: 1.4199 +2024/10/29 22:47:43 - mmengine - INFO - Epoch(train) [58][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:54:14 time: 0.4365 data_time: 0.0441 memory: 4652 grad_norm: 2.7959 loss: 4.3583 loss_cls: 2.9007 loss_bbox: 1.4576 +2024/10/29 22:48:04 - mmengine - INFO - Epoch(train) [58][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:53:53 time: 0.4308 data_time: 0.0483 memory: 4652 grad_norm: 3.4692 loss: 4.4176 loss_cls: 2.9546 loss_bbox: 1.4630 +2024/10/29 22:48:26 - mmengine - INFO - Epoch(train) [58][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:53:32 time: 0.4401 data_time: 0.0579 memory: 4652 grad_norm: 2.8725 loss: 4.3112 loss_cls: 2.9109 loss_bbox: 1.4003 +2024/10/29 22:48:47 - mmengine - INFO - Epoch(train) [58][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:53:10 time: 0.4211 data_time: 0.0412 memory: 4652 grad_norm: 3.1847 loss: 4.3352 loss_cls: 2.9091 loss_bbox: 1.4261 +2024/10/29 22:49:09 - mmengine - INFO - Epoch(train) [58][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:52:49 time: 0.4251 data_time: 0.0523 memory: 4652 grad_norm: 2.9310 loss: 4.3962 loss_cls: 2.9244 loss_bbox: 1.4718 +2024/10/29 22:49:30 - mmengine - INFO - Epoch(train) [58][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:52:27 time: 0.4349 data_time: 0.0441 memory: 4652 grad_norm: 3.0865 loss: 4.3002 loss_cls: 2.8839 loss_bbox: 1.4163 +2024/10/29 22:49:51 - mmengine - INFO - Epoch(train) [58][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:52:05 time: 0.4164 data_time: 0.0398 memory: 4652 grad_norm: 2.8164 loss: 4.3002 loss_cls: 2.8991 loss_bbox: 1.4011 +2024/10/29 22:50:12 - mmengine - INFO - Epoch(train) [58][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:51:43 time: 0.4223 data_time: 0.0388 memory: 4652 grad_norm: 3.1188 loss: 4.3324 loss_cls: 2.9116 loss_bbox: 1.4208 +2024/10/29 22:50:34 - mmengine - INFO - Epoch(train) [58][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:51:22 time: 0.4259 data_time: 0.0394 memory: 4652 grad_norm: 2.9202 loss: 4.3697 loss_cls: 2.9224 loss_bbox: 1.4472 +2024/10/29 22:50:55 - mmengine - INFO - Epoch(train) [58][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:51:00 time: 0.4283 data_time: 0.0588 memory: 4652 grad_norm: 2.8246 loss: 4.3118 loss_cls: 2.8836 loss_bbox: 1.4282 +2024/10/29 22:51:17 - mmengine - INFO - Epoch(train) [58][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:50:40 time: 0.4470 data_time: 0.0502 memory: 4652 grad_norm: 2.7907 loss: 4.3282 loss_cls: 2.8590 loss_bbox: 1.4692 +2024/10/29 22:51:39 - mmengine - INFO - Epoch(train) [58][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:50:18 time: 0.4253 data_time: 0.0523 memory: 4652 grad_norm: 2.9039 loss: 4.3821 loss_cls: 2.9225 loss_bbox: 1.4596 +2024/10/29 22:52:00 - mmengine - INFO - Epoch(train) [58][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:49:57 time: 0.4293 data_time: 0.0429 memory: 4652 grad_norm: 2.8873 loss: 4.4422 loss_cls: 2.9225 loss_bbox: 1.5198 +2024/10/29 22:52:22 - mmengine - INFO - Epoch(train) [58][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:49:36 time: 0.4372 data_time: 0.0513 memory: 4652 grad_norm: 2.8511 loss: 4.3732 loss_cls: 2.8860 loss_bbox: 1.4872 +2024/10/29 22:52:44 - mmengine - INFO - Epoch(train) [58][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:49:15 time: 0.4323 data_time: 0.0511 memory: 4652 grad_norm: 2.9048 loss: 4.3243 loss_cls: 2.9008 loss_bbox: 1.4235 +2024/10/29 22:53:06 - mmengine - INFO - Epoch(train) [58][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:48:54 time: 0.4388 data_time: 0.0495 memory: 4652 grad_norm: 2.9009 loss: 4.3631 loss_cls: 2.9021 loss_bbox: 1.4610 +2024/10/29 22:53:15 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 22:53:27 - mmengine - INFO - Epoch(train) [58][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:48:32 time: 0.4247 data_time: 0.0465 memory: 4652 grad_norm: 2.9886 loss: 4.3377 loss_cls: 2.9141 loss_bbox: 1.4236 +2024/10/29 22:53:48 - mmengine - INFO - Epoch(train) [58][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:48:11 time: 0.4299 data_time: 0.0412 memory: 4652 grad_norm: 2.7877 loss: 4.4025 loss_cls: 2.9532 loss_bbox: 1.4492 +2024/10/29 22:54:09 - mmengine - INFO - Epoch(train) [58][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:47:49 time: 0.4190 data_time: 0.0423 memory: 4652 grad_norm: 2.9037 loss: 4.4238 loss_cls: 2.9411 loss_bbox: 1.4826 +2024/10/29 22:54:30 - mmengine - INFO - Epoch(train) [58][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:47:27 time: 0.4209 data_time: 0.0472 memory: 4652 grad_norm: 2.8971 loss: 4.2847 loss_cls: 2.9068 loss_bbox: 1.3779 +2024/10/29 22:54:52 - mmengine - INFO - Epoch(train) [58][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:47:05 time: 0.4221 data_time: 0.0408 memory: 4652 grad_norm: 2.7996 loss: 4.3361 loss_cls: 2.9180 loss_bbox: 1.4181 +2024/10/29 22:55:13 - mmengine - INFO - Epoch(train) [58][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:46:43 time: 0.4214 data_time: 0.0438 memory: 4652 grad_norm: 2.8494 loss: 4.2869 loss_cls: 2.8988 loss_bbox: 1.3880 +2024/10/29 22:55:34 - mmengine - INFO - Epoch(train) [58][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:46:22 time: 0.4299 data_time: 0.0471 memory: 4652 grad_norm: 2.9432 loss: 4.3180 loss_cls: 2.8829 loss_bbox: 1.4351 +2024/10/29 22:55:55 - mmengine - INFO - Epoch(train) [58][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:46:00 time: 0.4254 data_time: 0.0503 memory: 4652 grad_norm: 2.9725 loss: 4.3660 loss_cls: 2.9298 loss_bbox: 1.4361 +2024/10/29 22:56:17 - mmengine - INFO - Epoch(train) [58][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:45:38 time: 0.4199 data_time: 0.0406 memory: 4652 grad_norm: 2.9378 loss: 4.3078 loss_cls: 2.8951 loss_bbox: 1.4127 +2024/10/29 22:56:38 - mmengine - INFO - Epoch(train) [58][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:45:17 time: 0.4340 data_time: 0.0405 memory: 4652 grad_norm: 2.8953 loss: 4.3574 loss_cls: 2.9390 loss_bbox: 1.4184 +2024/10/29 22:56:59 - mmengine - INFO - Epoch(train) [58][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:44:54 time: 0.4090 data_time: 0.0386 memory: 4652 grad_norm: 3.0253 loss: 4.3658 loss_cls: 2.9132 loss_bbox: 1.4526 +2024/10/29 22:57:20 - mmengine - INFO - Epoch(train) [58][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:44:33 time: 0.4340 data_time: 0.0410 memory: 4652 grad_norm: 2.9703 loss: 4.4135 loss_cls: 2.9400 loss_bbox: 1.4736 +2024/10/29 22:57:42 - mmengine - INFO - Epoch(train) [58][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:44:13 time: 0.4404 data_time: 0.0576 memory: 4652 grad_norm: 2.8886 loss: 4.2892 loss_cls: 2.8867 loss_bbox: 1.4024 +2024/10/29 22:58:04 - mmengine - INFO - Epoch(train) [58][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:43:51 time: 0.4284 data_time: 0.0422 memory: 4652 grad_norm: 2.9905 loss: 4.3688 loss_cls: 2.8759 loss_bbox: 1.4930 +2024/10/29 22:58:25 - mmengine - INFO - Epoch(train) [58][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:43:30 time: 0.4310 data_time: 0.0475 memory: 4652 grad_norm: 2.8671 loss: 4.3404 loss_cls: 2.9048 loss_bbox: 1.4356 +2024/10/29 22:58:46 - mmengine - INFO - Epoch(train) [58][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:43:07 time: 0.4144 data_time: 0.0422 memory: 4652 grad_norm: 2.7291 loss: 4.3942 loss_cls: 2.9309 loss_bbox: 1.4633 +2024/10/29 22:59:07 - mmengine - INFO - Epoch(train) [58][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:42:46 time: 0.4260 data_time: 0.0416 memory: 4652 grad_norm: 2.7863 loss: 4.4504 loss_cls: 2.9643 loss_bbox: 1.4861 +2024/10/29 22:59:29 - mmengine - INFO - Epoch(train) [58][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:42:25 time: 0.4311 data_time: 0.0412 memory: 4652 grad_norm: 3.1281 loss: 4.3186 loss_cls: 2.8887 loss_bbox: 1.4299 +2024/10/29 22:59:51 - mmengine - INFO - Epoch(train) [58][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:42:03 time: 0.4317 data_time: 0.0466 memory: 4652 grad_norm: 2.9313 loss: 4.3516 loss_cls: 2.9104 loss_bbox: 1.4412 +2024/10/29 23:00:12 - mmengine - INFO - Epoch(train) [58][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:41:41 time: 0.4215 data_time: 0.0458 memory: 4652 grad_norm: 2.8352 loss: 4.4028 loss_cls: 2.9607 loss_bbox: 1.4421 +2024/10/29 23:00:22 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 23:00:33 - mmengine - INFO - Epoch(train) [58][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:41:19 time: 0.4185 data_time: 0.0483 memory: 4652 grad_norm: 3.1392 loss: 4.3292 loss_cls: 2.9336 loss_bbox: 1.3956 +2024/10/29 23:00:54 - mmengine - INFO - Epoch(train) [58][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:40:58 time: 0.4325 data_time: 0.0461 memory: 4652 grad_norm: 2.8032 loss: 4.3620 loss_cls: 2.9256 loss_bbox: 1.4363 +2024/10/29 23:01:16 - mmengine - INFO - Epoch(train) [58][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:40:37 time: 0.4291 data_time: 0.0521 memory: 4652 grad_norm: 2.7824 loss: 4.3924 loss_cls: 2.9317 loss_bbox: 1.4606 +2024/10/29 23:01:37 - mmengine - INFO - Epoch(train) [58][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:40:15 time: 0.4256 data_time: 0.0390 memory: 4652 grad_norm: 2.9345 loss: 4.3861 loss_cls: 2.9315 loss_bbox: 1.4546 +2024/10/29 23:01:58 - mmengine - INFO - Epoch(train) [58][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:39:53 time: 0.4260 data_time: 0.0487 memory: 4652 grad_norm: 2.7567 loss: 4.3765 loss_cls: 2.9057 loss_bbox: 1.4707 +2024/10/29 23:02:20 - mmengine - INFO - Epoch(train) [58][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:39:32 time: 0.4269 data_time: 0.0397 memory: 4652 grad_norm: 2.5725 loss: 4.3901 loss_cls: 2.9375 loss_bbox: 1.4526 +2024/10/29 23:02:41 - mmengine - INFO - Epoch(train) [58][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:39:10 time: 0.4280 data_time: 0.0378 memory: 4652 grad_norm: 2.9789 loss: 4.4005 loss_cls: 2.9190 loss_bbox: 1.4814 +2024/10/29 23:03:03 - mmengine - INFO - Epoch(train) [58][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:38:49 time: 0.4261 data_time: 0.0468 memory: 4652 grad_norm: 2.9836 loss: 4.3936 loss_cls: 2.9444 loss_bbox: 1.4492 +2024/10/29 23:03:25 - mmengine - INFO - Epoch(train) [58][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:38:29 time: 0.4552 data_time: 0.0715 memory: 4652 grad_norm: 3.0791 loss: 4.4513 loss_cls: 2.9724 loss_bbox: 1.4789 +2024/10/29 23:03:46 - mmengine - INFO - Epoch(train) [58][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:38:07 time: 0.4214 data_time: 0.0460 memory: 4652 grad_norm: 2.8909 loss: 4.4015 loss_cls: 2.9570 loss_bbox: 1.4444 +2024/10/29 23:04:09 - mmengine - INFO - Epoch(train) [58][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:37:47 time: 0.4504 data_time: 0.0528 memory: 4652 grad_norm: 2.8896 loss: 4.3641 loss_cls: 2.9130 loss_bbox: 1.4511 +2024/10/29 23:04:30 - mmengine - INFO - Epoch(train) [58][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:37:25 time: 0.4254 data_time: 0.0466 memory: 4652 grad_norm: 3.0204 loss: 4.2254 loss_cls: 2.8221 loss_bbox: 1.4033 +2024/10/29 23:04:51 - mmengine - INFO - Epoch(train) [58][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:37:03 time: 0.4219 data_time: 0.0469 memory: 4652 grad_norm: 2.8887 loss: 4.3813 loss_cls: 2.9507 loss_bbox: 1.4306 +2024/10/29 23:05:12 - mmengine - INFO - Epoch(train) [58][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:36:41 time: 0.4220 data_time: 0.0435 memory: 4652 grad_norm: 2.8936 loss: 4.4113 loss_cls: 2.9108 loss_bbox: 1.5005 +2024/10/29 23:05:33 - mmengine - INFO - Epoch(train) [58][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:36:19 time: 0.4156 data_time: 0.0406 memory: 4652 grad_norm: 2.9265 loss: 4.3964 loss_cls: 2.9281 loss_bbox: 1.4683 +2024/10/29 23:05:55 - mmengine - INFO - Epoch(train) [58][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:35:58 time: 0.4271 data_time: 0.0463 memory: 4652 grad_norm: 2.8375 loss: 4.4096 loss_cls: 2.9270 loss_bbox: 1.4826 +2024/10/29 23:06:16 - mmengine - INFO - Epoch(train) [58][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:35:36 time: 0.4239 data_time: 0.0614 memory: 4652 grad_norm: 2.8836 loss: 4.2719 loss_cls: 2.8857 loss_bbox: 1.3862 +2024/10/29 23:06:37 - mmengine - INFO - Epoch(train) [58][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:35:14 time: 0.4221 data_time: 0.0453 memory: 4652 grad_norm: 2.8058 loss: 4.3847 loss_cls: 2.9189 loss_bbox: 1.4658 +2024/10/29 23:06:58 - mmengine - INFO - Epoch(train) [58][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:34:53 time: 0.4271 data_time: 0.0586 memory: 4652 grad_norm: 3.0333 loss: 4.3325 loss_cls: 2.9105 loss_bbox: 1.4221 +2024/10/29 23:07:19 - mmengine - INFO - Epoch(train) [58][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:34:31 time: 0.4223 data_time: 0.0466 memory: 4652 grad_norm: 2.8482 loss: 4.3304 loss_cls: 2.9072 loss_bbox: 1.4231 +2024/10/29 23:07:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 23:07:39 - mmengine - INFO - Epoch(train) [58][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:34:08 time: 0.4000 data_time: 0.0404 memory: 4652 grad_norm: 2.9598 loss: 4.3170 loss_cls: 2.8908 loss_bbox: 1.4262 +2024/10/29 23:08:00 - mmengine - INFO - Epoch(train) [58][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:33:46 time: 0.4196 data_time: 0.0428 memory: 4652 grad_norm: 2.9147 loss: 4.3323 loss_cls: 2.8911 loss_bbox: 1.4412 +2024/10/29 23:08:21 - mmengine - INFO - Epoch(train) [58][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:33:24 time: 0.4192 data_time: 0.0424 memory: 4652 grad_norm: 2.8576 loss: 4.3140 loss_cls: 2.8777 loss_bbox: 1.4363 +2024/10/29 23:08:23 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 23:08:23 - mmengine - INFO - Saving checkpoint at 58 epochs +2024/10/29 23:08:51 - mmengine - INFO - Epoch(train) [59][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:33:01 time: 0.4341 data_time: 0.0663 memory: 4652 grad_norm: 2.8457 loss: 4.3182 loss_cls: 2.8722 loss_bbox: 1.4460 +2024/10/29 23:09:11 - mmengine - INFO - Epoch(train) [59][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:32:38 time: 0.4019 data_time: 0.0396 memory: 4652 grad_norm: 2.9487 loss: 4.4166 loss_cls: 2.9362 loss_bbox: 1.4805 +2024/10/29 23:09:32 - mmengine - INFO - Epoch(train) [59][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:32:16 time: 0.4224 data_time: 0.0402 memory: 4652 grad_norm: 2.6987 loss: 4.4020 loss_cls: 2.9406 loss_bbox: 1.4614 +2024/10/29 23:09:52 - mmengine - INFO - Epoch(train) [59][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:31:53 time: 0.4061 data_time: 0.0528 memory: 4652 grad_norm: 3.0150 loss: 4.3876 loss_cls: 2.9095 loss_bbox: 1.4781 +2024/10/29 23:10:13 - mmengine - INFO - Epoch(train) [59][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:31:32 time: 0.4240 data_time: 0.0495 memory: 4652 grad_norm: 2.8075 loss: 4.3620 loss_cls: 2.9190 loss_bbox: 1.4430 +2024/10/29 23:10:35 - mmengine - INFO - Epoch(train) [59][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:31:10 time: 0.4326 data_time: 0.0589 memory: 4652 grad_norm: 2.9097 loss: 4.3157 loss_cls: 2.8895 loss_bbox: 1.4263 +2024/10/29 23:10:55 - mmengine - INFO - Epoch(train) [59][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:30:48 time: 0.4103 data_time: 0.0470 memory: 4652 grad_norm: 2.9796 loss: 4.3388 loss_cls: 2.8720 loss_bbox: 1.4667 +2024/10/29 23:11:17 - mmengine - INFO - Epoch(train) [59][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:30:26 time: 0.4238 data_time: 0.0435 memory: 4652 grad_norm: 3.0111 loss: 4.3835 loss_cls: 2.9300 loss_bbox: 1.4536 +2024/10/29 23:11:37 - mmengine - INFO - Epoch(train) [59][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:30:04 time: 0.4090 data_time: 0.0516 memory: 4652 grad_norm: 2.8328 loss: 4.2742 loss_cls: 2.8638 loss_bbox: 1.4104 +2024/10/29 23:11:59 - mmengine - INFO - Epoch(train) [59][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:29:43 time: 0.4330 data_time: 0.0536 memory: 4652 grad_norm: 3.1992 loss: 4.3597 loss_cls: 2.9153 loss_bbox: 1.4444 +2024/10/29 23:12:20 - mmengine - INFO - Epoch(train) [59][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:29:21 time: 0.4222 data_time: 0.0530 memory: 4652 grad_norm: 2.7088 loss: 4.3575 loss_cls: 2.8841 loss_bbox: 1.4734 +2024/10/29 23:12:40 - mmengine - INFO - Epoch(train) [59][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:28:58 time: 0.4095 data_time: 0.0422 memory: 4652 grad_norm: 3.1551 loss: 4.4364 loss_cls: 2.9561 loss_bbox: 1.4804 +2024/10/29 23:13:03 - mmengine - INFO - Epoch(train) [59][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:28:38 time: 0.4455 data_time: 0.0528 memory: 4652 grad_norm: 2.9700 loss: 4.2832 loss_cls: 2.8569 loss_bbox: 1.4263 +2024/10/29 23:13:25 - mmengine - INFO - Epoch(train) [59][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:28:17 time: 0.4399 data_time: 0.0771 memory: 4652 grad_norm: 2.8051 loss: 4.3569 loss_cls: 2.9077 loss_bbox: 1.4492 +2024/10/29 23:13:46 - mmengine - INFO - Epoch(train) [59][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:27:56 time: 0.4340 data_time: 0.0419 memory: 4652 grad_norm: 3.0593 loss: 4.3603 loss_cls: 2.9257 loss_bbox: 1.4346 +2024/10/29 23:14:07 - mmengine - INFO - Epoch(train) [59][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:27:33 time: 0.4132 data_time: 0.0459 memory: 4652 grad_norm: 3.0951 loss: 4.2181 loss_cls: 2.8490 loss_bbox: 1.3691 +2024/10/29 23:14:28 - mmengine - INFO - Epoch(train) [59][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:27:12 time: 0.4216 data_time: 0.0508 memory: 4652 grad_norm: 3.2145 loss: 4.3092 loss_cls: 2.8888 loss_bbox: 1.4203 +2024/10/29 23:14:37 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 23:14:50 - mmengine - INFO - Epoch(train) [59][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:26:51 time: 0.4420 data_time: 0.0413 memory: 4652 grad_norm: 2.7773 loss: 4.3255 loss_cls: 2.8647 loss_bbox: 1.4608 +2024/10/29 23:15:11 - mmengine - INFO - Epoch(train) [59][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:26:29 time: 0.4213 data_time: 0.0455 memory: 4652 grad_norm: 2.9238 loss: 4.2374 loss_cls: 2.8385 loss_bbox: 1.3989 +2024/10/29 23:15:33 - mmengine - INFO - Epoch(train) [59][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:26:08 time: 0.4292 data_time: 0.0389 memory: 4652 grad_norm: 2.8795 loss: 4.3327 loss_cls: 2.8900 loss_bbox: 1.4427 +2024/10/29 23:15:54 - mmengine - INFO - Epoch(train) [59][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:25:45 time: 0.4164 data_time: 0.0483 memory: 4652 grad_norm: 2.8822 loss: 4.2679 loss_cls: 2.8582 loss_bbox: 1.4098 +2024/10/29 23:16:15 - mmengine - INFO - Epoch(train) [59][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:25:23 time: 0.4174 data_time: 0.0429 memory: 4652 grad_norm: 2.7642 loss: 4.3758 loss_cls: 2.8846 loss_bbox: 1.4912 +2024/10/29 23:16:35 - mmengine - INFO - Epoch(train) [59][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:25:01 time: 0.4131 data_time: 0.0415 memory: 4652 grad_norm: 3.0957 loss: 4.3815 loss_cls: 2.9199 loss_bbox: 1.4616 +2024/10/29 23:16:56 - mmengine - INFO - Epoch(train) [59][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:24:39 time: 0.4198 data_time: 0.0457 memory: 4652 grad_norm: 2.8034 loss: 4.2655 loss_cls: 2.8662 loss_bbox: 1.3993 +2024/10/29 23:17:18 - mmengine - INFO - Epoch(train) [59][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:24:18 time: 0.4276 data_time: 0.0451 memory: 4652 grad_norm: 2.8993 loss: 4.3794 loss_cls: 2.9264 loss_bbox: 1.4530 +2024/10/29 23:17:38 - mmengine - INFO - Epoch(train) [59][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:23:55 time: 0.4136 data_time: 0.0421 memory: 4652 grad_norm: 3.0844 loss: 4.4675 loss_cls: 2.9832 loss_bbox: 1.4843 +2024/10/29 23:17:59 - mmengine - INFO - Epoch(train) [59][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:23:33 time: 0.4192 data_time: 0.0409 memory: 4652 grad_norm: 2.8609 loss: 4.4114 loss_cls: 2.9406 loss_bbox: 1.4708 +2024/10/29 23:18:21 - mmengine - INFO - Epoch(train) [59][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:23:12 time: 0.4227 data_time: 0.0487 memory: 4652 grad_norm: 2.8218 loss: 4.3748 loss_cls: 2.9235 loss_bbox: 1.4513 +2024/10/29 23:18:41 - mmengine - INFO - Epoch(train) [59][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:22:49 time: 0.4050 data_time: 0.0416 memory: 4652 grad_norm: 2.7047 loss: 4.2993 loss_cls: 2.8654 loss_bbox: 1.4339 +2024/10/29 23:19:02 - mmengine - INFO - Epoch(train) [59][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:22:27 time: 0.4227 data_time: 0.0466 memory: 4652 grad_norm: 3.0722 loss: 4.3702 loss_cls: 2.9215 loss_bbox: 1.4487 +2024/10/29 23:19:27 - mmengine - INFO - Epoch(train) [59][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:22:10 time: 0.4993 data_time: 0.1258 memory: 4652 grad_norm: 2.8316 loss: 4.3651 loss_cls: 2.9004 loss_bbox: 1.4647 +2024/10/29 23:19:48 - mmengine - INFO - Epoch(train) [59][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:21:48 time: 0.4238 data_time: 0.0416 memory: 4652 grad_norm: 2.9668 loss: 4.3247 loss_cls: 2.8921 loss_bbox: 1.4326 +2024/10/29 23:20:09 - mmengine - INFO - Epoch(train) [59][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:21:26 time: 0.4228 data_time: 0.0417 memory: 4652 grad_norm: 2.7305 loss: 4.4068 loss_cls: 2.9197 loss_bbox: 1.4871 +2024/10/29 23:20:31 - mmengine - INFO - Epoch(train) [59][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:21:04 time: 0.4247 data_time: 0.0453 memory: 4652 grad_norm: 3.0772 loss: 4.4603 loss_cls: 2.9469 loss_bbox: 1.5134 +2024/10/29 23:20:52 - mmengine - INFO - Epoch(train) [59][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:20:43 time: 0.4205 data_time: 0.0403 memory: 4652 grad_norm: 2.9340 loss: 4.3369 loss_cls: 2.9289 loss_bbox: 1.4080 +2024/10/29 23:21:13 - mmengine - INFO - Epoch(train) [59][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:20:21 time: 0.4230 data_time: 0.0467 memory: 4652 grad_norm: 2.7582 loss: 4.3715 loss_cls: 2.8873 loss_bbox: 1.4842 +2024/10/29 23:21:34 - mmengine - INFO - Epoch(train) [59][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:19:59 time: 0.4296 data_time: 0.0441 memory: 4652 grad_norm: 2.8216 loss: 4.2367 loss_cls: 2.8375 loss_bbox: 1.3992 +2024/10/29 23:21:42 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 23:21:55 - mmengine - INFO - Epoch(train) [59][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:19:37 time: 0.4164 data_time: 0.0409 memory: 4652 grad_norm: 2.9063 loss: 4.3498 loss_cls: 2.9029 loss_bbox: 1.4469 +2024/10/29 23:22:16 - mmengine - INFO - Epoch(train) [59][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:19:15 time: 0.4109 data_time: 0.0409 memory: 4652 grad_norm: 2.6539 loss: 4.3707 loss_cls: 2.9038 loss_bbox: 1.4668 +2024/10/29 23:22:37 - mmengine - INFO - Epoch(train) [59][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:18:54 time: 0.4322 data_time: 0.0414 memory: 4652 grad_norm: 2.8425 loss: 4.4621 loss_cls: 2.9462 loss_bbox: 1.5159 +2024/10/29 23:22:58 - mmengine - INFO - Epoch(train) [59][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:18:31 time: 0.4056 data_time: 0.0430 memory: 4652 grad_norm: 3.0968 loss: 4.3426 loss_cls: 2.9175 loss_bbox: 1.4251 +2024/10/29 23:23:19 - mmengine - INFO - Epoch(train) [59][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:18:10 time: 0.4301 data_time: 0.0407 memory: 4652 grad_norm: 3.0999 loss: 4.3888 loss_cls: 2.9121 loss_bbox: 1.4767 +2024/10/29 23:23:41 - mmengine - INFO - Epoch(train) [59][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:17:48 time: 0.4302 data_time: 0.0550 memory: 4652 grad_norm: 2.8123 loss: 4.2655 loss_cls: 2.8605 loss_bbox: 1.4050 +2024/10/29 23:24:02 - mmengine - INFO - Epoch(train) [59][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:17:26 time: 0.4190 data_time: 0.0473 memory: 4652 grad_norm: 2.9184 loss: 4.3443 loss_cls: 2.9188 loss_bbox: 1.4255 +2024/10/29 23:24:27 - mmengine - INFO - Epoch(train) [59][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:17:09 time: 0.5045 data_time: 0.1209 memory: 4652 grad_norm: 2.8537 loss: 4.3405 loss_cls: 2.9042 loss_bbox: 1.4363 +2024/10/29 23:24:47 - mmengine - INFO - Epoch(train) [59][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:16:46 time: 0.4100 data_time: 0.0469 memory: 4652 grad_norm: 2.8279 loss: 4.3991 loss_cls: 2.9314 loss_bbox: 1.4677 +2024/10/29 23:25:08 - mmengine - INFO - Epoch(train) [59][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:16:25 time: 0.4211 data_time: 0.0409 memory: 4652 grad_norm: 2.8332 loss: 4.4109 loss_cls: 2.9398 loss_bbox: 1.4712 +2024/10/29 23:25:29 - mmengine - INFO - Epoch(train) [59][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:16:02 time: 0.4116 data_time: 0.0412 memory: 4652 grad_norm: 2.7618 loss: 4.3237 loss_cls: 2.9223 loss_bbox: 1.4014 +2024/10/29 23:25:51 - mmengine - INFO - Epoch(train) [59][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:15:41 time: 0.4318 data_time: 0.0539 memory: 4652 grad_norm: 2.6355 loss: 4.2555 loss_cls: 2.8631 loss_bbox: 1.3924 +2024/10/29 23:26:13 - mmengine - INFO - Epoch(train) [59][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:15:21 time: 0.4504 data_time: 0.0507 memory: 4652 grad_norm: 2.7827 loss: 4.2662 loss_cls: 2.8631 loss_bbox: 1.4031 +2024/10/29 23:26:33 - mmengine - INFO - Epoch(train) [59][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:14:58 time: 0.4028 data_time: 0.0410 memory: 4652 grad_norm: 2.9734 loss: 4.2760 loss_cls: 2.8895 loss_bbox: 1.3865 +2024/10/29 23:26:55 - mmengine - INFO - Epoch(train) [59][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:14:36 time: 0.4301 data_time: 0.0399 memory: 4652 grad_norm: 2.7604 loss: 4.2956 loss_cls: 2.8696 loss_bbox: 1.4260 +2024/10/29 23:27:16 - mmengine - INFO - Epoch(train) [59][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:14:15 time: 0.4275 data_time: 0.0412 memory: 4652 grad_norm: 2.8273 loss: 4.4144 loss_cls: 2.9267 loss_bbox: 1.4877 +2024/10/29 23:27:37 - mmengine - INFO - Epoch(train) [59][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:13:53 time: 0.4187 data_time: 0.0402 memory: 4652 grad_norm: 3.0249 loss: 4.4118 loss_cls: 2.9127 loss_bbox: 1.4991 +2024/10/29 23:27:59 - mmengine - INFO - Epoch(train) [59][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:13:32 time: 0.4380 data_time: 0.0464 memory: 4652 grad_norm: 2.7747 loss: 4.3356 loss_cls: 2.9038 loss_bbox: 1.4318 +2024/10/29 23:28:20 - mmengine - INFO - Epoch(train) [59][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:13:10 time: 0.4124 data_time: 0.0416 memory: 4652 grad_norm: 3.0099 loss: 4.3914 loss_cls: 2.9242 loss_bbox: 1.4672 +2024/10/29 23:28:42 - mmengine - INFO - Epoch(train) [59][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:12:49 time: 0.4466 data_time: 0.0406 memory: 4652 grad_norm: 3.0362 loss: 4.4055 loss_cls: 2.9327 loss_bbox: 1.4728 +2024/10/29 23:28:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 23:29:03 - mmengine - INFO - Epoch(train) [59][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:12:27 time: 0.4152 data_time: 0.0391 memory: 4652 grad_norm: 2.7662 loss: 4.3063 loss_cls: 2.8865 loss_bbox: 1.4198 +2024/10/29 23:29:27 - mmengine - INFO - Epoch(train) [59][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:12:08 time: 0.4729 data_time: 0.0882 memory: 4652 grad_norm: 2.8119 loss: 4.2816 loss_cls: 2.8516 loss_bbox: 1.4300 +2024/10/29 23:29:47 - mmengine - INFO - Epoch(train) [59][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:11:46 time: 0.4121 data_time: 0.0491 memory: 4652 grad_norm: 2.7848 loss: 4.3164 loss_cls: 2.9142 loss_bbox: 1.4022 +2024/10/29 23:30:08 - mmengine - INFO - Epoch(train) [59][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:11:23 time: 0.4125 data_time: 0.0399 memory: 4652 grad_norm: 2.9240 loss: 4.4334 loss_cls: 2.9497 loss_bbox: 1.4837 +2024/10/29 23:30:09 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 23:30:09 - mmengine - INFO - Saving checkpoint at 59 epochs +2024/10/29 23:30:36 - mmengine - INFO - Epoch(train) [60][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:11:01 time: 0.4394 data_time: 0.0639 memory: 4652 grad_norm: 2.6580 loss: 4.3331 loss_cls: 2.9223 loss_bbox: 1.4108 +2024/10/29 23:30:56 - mmengine - INFO - Epoch(train) [60][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:10:38 time: 0.4042 data_time: 0.0467 memory: 4652 grad_norm: 2.8394 loss: 4.3511 loss_cls: 2.8705 loss_bbox: 1.4806 +2024/10/29 23:31:17 - mmengine - INFO - Epoch(train) [60][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:10:16 time: 0.4185 data_time: 0.0388 memory: 4652 grad_norm: 2.7619 loss: 4.3132 loss_cls: 2.8721 loss_bbox: 1.4411 +2024/10/29 23:31:38 - mmengine - INFO - Epoch(train) [60][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:09:54 time: 0.4181 data_time: 0.0374 memory: 4652 grad_norm: 3.1044 loss: 4.3342 loss_cls: 2.8847 loss_bbox: 1.4494 +2024/10/29 23:31:58 - mmengine - INFO - Epoch(train) [60][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:09:31 time: 0.4013 data_time: 0.0374 memory: 4652 grad_norm: 2.8709 loss: 4.4566 loss_cls: 2.9768 loss_bbox: 1.4798 +2024/10/29 23:32:19 - mmengine - INFO - Epoch(train) [60][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:09:09 time: 0.4221 data_time: 0.0405 memory: 4652 grad_norm: 2.8167 loss: 4.3669 loss_cls: 2.9249 loss_bbox: 1.4420 +2024/10/29 23:32:40 - mmengine - INFO - Epoch(train) [60][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:08:47 time: 0.4168 data_time: 0.0518 memory: 4652 grad_norm: 2.9622 loss: 4.4257 loss_cls: 2.9507 loss_bbox: 1.4750 +2024/10/29 23:33:01 - mmengine - INFO - Epoch(train) [60][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:08:25 time: 0.4210 data_time: 0.0386 memory: 4652 grad_norm: 2.8253 loss: 4.3025 loss_cls: 2.8561 loss_bbox: 1.4464 +2024/10/29 23:33:22 - mmengine - INFO - Epoch(train) [60][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:08:03 time: 0.4124 data_time: 0.0385 memory: 4652 grad_norm: 2.8411 loss: 4.2872 loss_cls: 2.8801 loss_bbox: 1.4071 +2024/10/29 23:33:42 - mmengine - INFO - Epoch(train) [60][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:07:41 time: 0.4166 data_time: 0.0447 memory: 4652 grad_norm: 2.8517 loss: 4.3640 loss_cls: 2.9160 loss_bbox: 1.4480 +2024/10/29 23:34:04 - mmengine - INFO - Epoch(train) [60][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:07:19 time: 0.4278 data_time: 0.0403 memory: 4652 grad_norm: 2.7760 loss: 4.3203 loss_cls: 2.9001 loss_bbox: 1.4203 +2024/10/29 23:34:24 - mmengine - INFO - Epoch(train) [60][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:06:57 time: 0.4123 data_time: 0.0510 memory: 4652 grad_norm: 3.2198 loss: 4.2043 loss_cls: 2.8364 loss_bbox: 1.3679 +2024/10/29 23:34:46 - mmengine - INFO - Epoch(train) [60][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:06:35 time: 0.4273 data_time: 0.0421 memory: 4652 grad_norm: 2.9898 loss: 4.3382 loss_cls: 2.8986 loss_bbox: 1.4396 +2024/10/29 23:35:06 - mmengine - INFO - Epoch(train) [60][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:06:13 time: 0.4036 data_time: 0.0472 memory: 4652 grad_norm: 2.8291 loss: 4.3867 loss_cls: 2.9247 loss_bbox: 1.4620 +2024/10/29 23:35:27 - mmengine - INFO - Epoch(train) [60][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:05:51 time: 0.4240 data_time: 0.0427 memory: 4652 grad_norm: 2.9108 loss: 4.3312 loss_cls: 2.9091 loss_bbox: 1.4221 +2024/10/29 23:35:49 - mmengine - INFO - Epoch(train) [60][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:05:30 time: 0.4314 data_time: 0.0384 memory: 4652 grad_norm: 2.9940 loss: 4.3185 loss_cls: 2.8826 loss_bbox: 1.4359 +2024/10/29 23:35:54 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 23:36:09 - mmengine - INFO - Epoch(train) [60][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:05:07 time: 0.4028 data_time: 0.0389 memory: 4652 grad_norm: 3.0343 loss: 4.4413 loss_cls: 2.9439 loss_bbox: 1.4974 +2024/10/29 23:36:31 - mmengine - INFO - Epoch(train) [60][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:04:46 time: 0.4316 data_time: 0.0389 memory: 4652 grad_norm: 2.9511 loss: 4.3181 loss_cls: 2.8723 loss_bbox: 1.4458 +2024/10/29 23:36:51 - mmengine - INFO - Epoch(train) [60][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:04:24 time: 0.4169 data_time: 0.0420 memory: 4652 grad_norm: 2.8426 loss: 4.3604 loss_cls: 2.8779 loss_bbox: 1.4824 +2024/10/29 23:37:13 - mmengine - INFO - Epoch(train) [60][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:04:02 time: 0.4284 data_time: 0.0504 memory: 4652 grad_norm: 2.6516 loss: 4.3514 loss_cls: 2.8983 loss_bbox: 1.4531 +2024/10/29 23:37:34 - mmengine - INFO - Epoch(train) [60][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:03:41 time: 0.4286 data_time: 0.0393 memory: 4652 grad_norm: 2.8368 loss: 4.3039 loss_cls: 2.8471 loss_bbox: 1.4568 +2024/10/29 23:37:55 - mmengine - INFO - Epoch(train) [60][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:03:19 time: 0.4199 data_time: 0.0379 memory: 4652 grad_norm: 3.1699 loss: 4.3849 loss_cls: 2.9227 loss_bbox: 1.4622 +2024/10/29 23:38:17 - mmengine - INFO - Epoch(train) [60][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:02:58 time: 0.4380 data_time: 0.0453 memory: 4652 grad_norm: 2.8164 loss: 4.3811 loss_cls: 2.9210 loss_bbox: 1.4601 +2024/10/29 23:38:38 - mmengine - INFO - Epoch(train) [60][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:02:35 time: 0.4121 data_time: 0.0393 memory: 4652 grad_norm: 2.9771 loss: 4.3946 loss_cls: 2.9372 loss_bbox: 1.4574 +2024/10/29 23:38:59 - mmengine - INFO - Epoch(train) [60][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:02:14 time: 0.4216 data_time: 0.0419 memory: 4652 grad_norm: 2.9244 loss: 4.3050 loss_cls: 2.8631 loss_bbox: 1.4419 +2024/10/29 23:39:20 - mmengine - INFO - Epoch(train) [60][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:01:52 time: 0.4261 data_time: 0.0370 memory: 4652 grad_norm: 3.0894 loss: 4.2654 loss_cls: 2.8805 loss_bbox: 1.3849 +2024/10/29 23:39:41 - mmengine - INFO - Epoch(train) [60][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:01:30 time: 0.4081 data_time: 0.0398 memory: 4652 grad_norm: 2.7919 loss: 4.4173 loss_cls: 2.9413 loss_bbox: 1.4761 +2024/10/29 23:40:02 - mmengine - INFO - Epoch(train) [60][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:01:08 time: 0.4220 data_time: 0.0385 memory: 4652 grad_norm: 3.0228 loss: 4.3958 loss_cls: 2.9390 loss_bbox: 1.4567 +2024/10/29 23:40:27 - mmengine - INFO - Epoch(train) [60][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:00:50 time: 0.4938 data_time: 0.1380 memory: 4652 grad_norm: 2.9372 loss: 4.3121 loss_cls: 2.8678 loss_bbox: 1.4443 +2024/10/29 23:40:48 - mmengine - INFO - Epoch(train) [60][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:00:28 time: 0.4320 data_time: 0.0404 memory: 4652 grad_norm: 2.7909 loss: 4.4306 loss_cls: 2.9603 loss_bbox: 1.4703 +2024/10/29 23:41:09 - mmengine - INFO - Epoch(train) [60][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:00:06 time: 0.4146 data_time: 0.0441 memory: 4652 grad_norm: 2.7634 loss: 4.3157 loss_cls: 2.8707 loss_bbox: 1.4450 +2024/10/29 23:41:30 - mmengine - INFO - Epoch(train) [60][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:59:44 time: 0.4132 data_time: 0.0378 memory: 4652 grad_norm: 2.9456 loss: 4.3187 loss_cls: 2.8871 loss_bbox: 1.4316 +2024/10/29 23:41:51 - mmengine - INFO - Epoch(train) [60][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:59:22 time: 0.4223 data_time: 0.0379 memory: 4652 grad_norm: 2.9242 loss: 4.3740 loss_cls: 2.9245 loss_bbox: 1.4495 +2024/10/29 23:42:11 - mmengine - INFO - Epoch(train) [60][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:59:00 time: 0.4090 data_time: 0.0442 memory: 4652 grad_norm: 2.7904 loss: 4.3969 loss_cls: 2.9277 loss_bbox: 1.4692 +2024/10/29 23:42:33 - mmengine - INFO - Epoch(train) [60][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:58:39 time: 0.4335 data_time: 0.0451 memory: 4652 grad_norm: 2.7545 loss: 4.4188 loss_cls: 2.9671 loss_bbox: 1.4517 +2024/10/29 23:42:54 - mmengine - INFO - Epoch(train) [60][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:58:17 time: 0.4205 data_time: 0.0431 memory: 4652 grad_norm: 2.6799 loss: 4.4347 loss_cls: 2.9519 loss_bbox: 1.4829 +2024/10/29 23:43:00 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 23:43:15 - mmengine - INFO - Epoch(train) [60][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:57:55 time: 0.4190 data_time: 0.0434 memory: 4652 grad_norm: 3.1290 loss: 4.3039 loss_cls: 2.8959 loss_bbox: 1.4080 +2024/10/29 23:43:36 - mmengine - INFO - Epoch(train) [60][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:57:33 time: 0.4269 data_time: 0.0466 memory: 4652 grad_norm: 2.7581 loss: 4.3208 loss_cls: 2.8994 loss_bbox: 1.4213 +2024/10/29 23:43:57 - mmengine - INFO - Epoch(train) [60][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:57:11 time: 0.4134 data_time: 0.0434 memory: 4652 grad_norm: 2.9359 loss: 4.3644 loss_cls: 2.8736 loss_bbox: 1.4908 +2024/10/29 23:44:19 - mmengine - INFO - Epoch(train) [60][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:56:50 time: 0.4322 data_time: 0.0445 memory: 4652 grad_norm: 3.0041 loss: 4.3763 loss_cls: 2.9165 loss_bbox: 1.4598 +2024/10/29 23:44:39 - mmengine - INFO - Epoch(train) [60][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:56:28 time: 0.4148 data_time: 0.0397 memory: 4652 grad_norm: 2.9280 loss: 4.3930 loss_cls: 2.9319 loss_bbox: 1.4611 +2024/10/29 23:45:00 - mmengine - INFO - Epoch(train) [60][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:56:06 time: 0.4184 data_time: 0.0399 memory: 4652 grad_norm: 2.6633 loss: 4.2505 loss_cls: 2.8450 loss_bbox: 1.4055 +2024/10/29 23:45:22 - mmengine - INFO - Epoch(train) [60][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:55:44 time: 0.4247 data_time: 0.0458 memory: 4652 grad_norm: 2.8407 loss: 4.3014 loss_cls: 2.8644 loss_bbox: 1.4370 +2024/10/29 23:45:43 - mmengine - INFO - Epoch(train) [60][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:55:22 time: 0.4238 data_time: 0.0388 memory: 4652 grad_norm: 2.8934 loss: 4.3150 loss_cls: 2.8875 loss_bbox: 1.4276 +2024/10/29 23:46:05 - mmengine - INFO - Epoch(train) [60][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:55:02 time: 0.4427 data_time: 0.0444 memory: 4652 grad_norm: 3.0482 loss: 4.2330 loss_cls: 2.8439 loss_bbox: 1.3890 +2024/10/29 23:46:26 - mmengine - INFO - Epoch(train) [60][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:54:40 time: 0.4204 data_time: 0.0512 memory: 4652 grad_norm: 2.7633 loss: 4.2852 loss_cls: 2.8678 loss_bbox: 1.4174 +2024/10/29 23:46:47 - mmengine - INFO - Epoch(train) [60][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:54:18 time: 0.4186 data_time: 0.0396 memory: 4652 grad_norm: 2.8051 loss: 4.3675 loss_cls: 2.9133 loss_bbox: 1.4543 +2024/10/29 23:47:08 - mmengine - INFO - Epoch(train) [60][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:53:56 time: 0.4273 data_time: 0.0388 memory: 4652 grad_norm: 2.8290 loss: 4.2845 loss_cls: 2.8676 loss_bbox: 1.4169 +2024/10/29 23:47:30 - mmengine - INFO - Epoch(train) [60][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:53:35 time: 0.4249 data_time: 0.0427 memory: 4652 grad_norm: 3.0238 loss: 4.3003 loss_cls: 2.8724 loss_bbox: 1.4279 +2024/10/29 23:47:52 - mmengine - INFO - Epoch(train) [60][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:53:14 time: 0.4411 data_time: 0.0381 memory: 4652 grad_norm: 3.2666 loss: 4.2135 loss_cls: 2.8294 loss_bbox: 1.3841 +2024/10/29 23:48:13 - mmengine - INFO - Epoch(train) [60][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:52:52 time: 0.4202 data_time: 0.0448 memory: 4652 grad_norm: 2.7907 loss: 4.4055 loss_cls: 2.9228 loss_bbox: 1.4827 +2024/10/29 23:48:35 - mmengine - INFO - Epoch(train) [60][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:52:31 time: 0.4437 data_time: 0.0408 memory: 4652 grad_norm: 2.9142 loss: 4.2365 loss_cls: 2.8774 loss_bbox: 1.3592 +2024/10/29 23:48:56 - mmengine - INFO - Epoch(train) [60][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:52:10 time: 0.4233 data_time: 0.0446 memory: 4652 grad_norm: 2.9114 loss: 4.3079 loss_cls: 2.8891 loss_bbox: 1.4187 +2024/10/29 23:49:17 - mmengine - INFO - Epoch(train) [60][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:51:48 time: 0.4263 data_time: 0.0419 memory: 4652 grad_norm: 3.0452 loss: 4.3679 loss_cls: 2.9402 loss_bbox: 1.4278 +2024/10/29 23:49:40 - mmengine - INFO - Epoch(train) [60][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:51:27 time: 0.4451 data_time: 0.0498 memory: 4652 grad_norm: 2.7343 loss: 4.3718 loss_cls: 2.9157 loss_bbox: 1.4561 +2024/10/29 23:50:01 - mmengine - INFO - Epoch(train) [60][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:51:05 time: 0.4191 data_time: 0.0389 memory: 4652 grad_norm: 2.8048 loss: 4.3291 loss_cls: 2.8692 loss_bbox: 1.4599 +2024/10/29 23:50:06 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 23:50:22 - mmengine - INFO - Epoch(train) [60][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:50:44 time: 0.4338 data_time: 0.0387 memory: 4652 grad_norm: 2.8896 loss: 4.3760 loss_cls: 2.9121 loss_bbox: 1.4639 +2024/10/29 23:50:43 - mmengine - INFO - Epoch(train) [60][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:50:22 time: 0.4127 data_time: 0.0389 memory: 4652 grad_norm: 2.9308 loss: 4.3677 loss_cls: 2.9333 loss_bbox: 1.4344 +2024/10/29 23:51:05 - mmengine - INFO - Epoch(train) [60][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:50:01 time: 0.4376 data_time: 0.0409 memory: 4652 grad_norm: 2.9373 loss: 4.3876 loss_cls: 2.9173 loss_bbox: 1.4704 +2024/10/29 23:51:26 - mmengine - INFO - Epoch(train) [60][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:49:40 time: 0.4259 data_time: 0.0416 memory: 4652 grad_norm: 2.9249 loss: 4.4414 loss_cls: 2.9632 loss_bbox: 1.4782 +2024/10/29 23:51:46 - mmengine - INFO - Epoch(train) [60][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:49:17 time: 0.4069 data_time: 0.0408 memory: 4652 grad_norm: 2.8857 loss: 4.4696 loss_cls: 2.9551 loss_bbox: 1.5145 +2024/10/29 23:51:48 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 23:51:48 - mmengine - INFO - Saving checkpoint at 60 epochs +2024/10/29 23:51:56 - mmengine - INFO - Epoch(val) [60][50/79] eta: 0:00:02 time: 0.0748 data_time: 0.0080 memory: 4652 +2024/10/29 23:52:15 - mmengine - INFO - Evaluating bbox... +2024/10/29 23:53:31 - mmengine - INFO - bbox_mAP_copypaste: 0.206 0.358 0.211 0.051 0.243 0.335 +2024/10/29 23:53:32 - mmengine - INFO - Epoch(val) [60][79/79] coco/bbox_mAP: 0.2060 coco/bbox_mAP_50: 0.3580 coco/bbox_mAP_75: 0.2110 coco/bbox_mAP_s: 0.0510 coco/bbox_mAP_m: 0.2430 coco/bbox_mAP_l: 0.3350 data_time: 0.0073 time: 0.0731 +2024/10/29 23:53:58 - mmengine - INFO - Epoch(train) [61][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:48:58 time: 0.5157 data_time: 0.0534 memory: 4652 grad_norm: 3.0022 loss: 4.3740 loss_cls: 2.9329 loss_bbox: 1.4411 +2024/10/29 23:54:19 - mmengine - INFO - Epoch(train) [61][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:48:36 time: 0.4216 data_time: 0.0398 memory: 4652 grad_norm: 2.8762 loss: 4.3566 loss_cls: 2.8970 loss_bbox: 1.4596 +2024/10/29 23:54:41 - mmengine - INFO - Epoch(train) [61][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:48:15 time: 0.4414 data_time: 0.0394 memory: 4652 grad_norm: 3.0233 loss: 4.4280 loss_cls: 2.9518 loss_bbox: 1.4762 +2024/10/29 23:55:03 - mmengine - INFO - Epoch(train) [61][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:47:55 time: 0.4379 data_time: 0.0377 memory: 4652 grad_norm: 2.9240 loss: 4.3829 loss_cls: 2.9347 loss_bbox: 1.4481 +2024/10/29 23:55:26 - mmengine - INFO - Epoch(train) [61][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:47:35 time: 0.4611 data_time: 0.0666 memory: 4652 grad_norm: 2.8969 loss: 4.3544 loss_cls: 2.9229 loss_bbox: 1.4316 +2024/10/29 23:55:48 - mmengine - INFO - Epoch(train) [61][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:47:14 time: 0.4366 data_time: 0.0386 memory: 4652 grad_norm: 2.7404 loss: 4.2599 loss_cls: 2.8681 loss_bbox: 1.3918 +2024/10/29 23:56:10 - mmengine - INFO - Epoch(train) [61][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:46:53 time: 0.4505 data_time: 0.0419 memory: 4652 grad_norm: 2.9108 loss: 4.3294 loss_cls: 2.8672 loss_bbox: 1.4622 +2024/10/29 23:56:32 - mmengine - INFO - Epoch(train) [61][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:46:32 time: 0.4312 data_time: 0.0425 memory: 4652 grad_norm: 3.0267 loss: 4.3803 loss_cls: 2.8873 loss_bbox: 1.4931 +2024/10/29 23:56:54 - mmengine - INFO - Epoch(train) [61][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:46:11 time: 0.4381 data_time: 0.0394 memory: 4652 grad_norm: 2.9330 loss: 4.3574 loss_cls: 2.8807 loss_bbox: 1.4767 +2024/10/29 23:57:15 - mmengine - INFO - Epoch(train) [61][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:45:50 time: 0.4318 data_time: 0.0458 memory: 4652 grad_norm: 2.9277 loss: 4.3215 loss_cls: 2.9038 loss_bbox: 1.4178 +2024/10/29 23:57:37 - mmengine - INFO - Epoch(train) [61][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:45:28 time: 0.4297 data_time: 0.0388 memory: 4652 grad_norm: 2.8720 loss: 4.3733 loss_cls: 2.8799 loss_bbox: 1.4934 +2024/10/29 23:57:58 - mmengine - INFO - Epoch(train) [61][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:45:07 time: 0.4279 data_time: 0.0389 memory: 4652 grad_norm: 3.0328 loss: 4.3652 loss_cls: 2.8856 loss_bbox: 1.4797 +2024/10/29 23:58:20 - mmengine - INFO - Epoch(train) [61][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:44:46 time: 0.4345 data_time: 0.0425 memory: 4652 grad_norm: 2.7702 loss: 4.3805 loss_cls: 2.9102 loss_bbox: 1.4703 +2024/10/29 23:58:42 - mmengine - INFO - Epoch(train) [61][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:44:25 time: 0.4455 data_time: 0.0407 memory: 4652 grad_norm: 2.9239 loss: 4.3926 loss_cls: 2.9302 loss_bbox: 1.4624 +2024/10/29 23:59:04 - mmengine - INFO - Epoch(train) [61][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:44:04 time: 0.4290 data_time: 0.0407 memory: 4652 grad_norm: 2.9515 loss: 4.3521 loss_cls: 2.8938 loss_bbox: 1.4584 +2024/10/29 23:59:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/29 23:59:28 - mmengine - INFO - Epoch(train) [61][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:43:45 time: 0.4794 data_time: 0.0810 memory: 4652 grad_norm: 2.8376 loss: 4.3279 loss_cls: 2.8641 loss_bbox: 1.4638 +2024/10/29 23:59:50 - mmengine - INFO - Epoch(train) [61][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:43:24 time: 0.4398 data_time: 0.0378 memory: 4652 grad_norm: 2.8235 loss: 4.3201 loss_cls: 2.8764 loss_bbox: 1.4437 +2024/10/30 00:00:12 - mmengine - INFO - Epoch(train) [61][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:43:03 time: 0.4389 data_time: 0.0395 memory: 4652 grad_norm: 3.0735 loss: 4.4075 loss_cls: 2.9207 loss_bbox: 1.4868 +2024/10/30 00:00:34 - mmengine - INFO - Epoch(train) [61][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:42:42 time: 0.4421 data_time: 0.0414 memory: 4652 grad_norm: 2.9028 loss: 4.2708 loss_cls: 2.8678 loss_bbox: 1.4030 +2024/10/30 00:00:56 - mmengine - INFO - Epoch(train) [61][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:42:22 time: 0.4393 data_time: 0.0406 memory: 4652 grad_norm: 2.8699 loss: 4.4539 loss_cls: 2.9494 loss_bbox: 1.5045 +2024/10/30 00:01:17 - mmengine - INFO - Epoch(train) [61][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:42:00 time: 0.4192 data_time: 0.0405 memory: 4652 grad_norm: 2.7769 loss: 4.5138 loss_cls: 3.0033 loss_bbox: 1.5105 +2024/10/30 00:01:39 - mmengine - INFO - Epoch(train) [61][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:41:39 time: 0.4463 data_time: 0.0569 memory: 4652 grad_norm: 2.9227 loss: 4.3783 loss_cls: 2.8930 loss_bbox: 1.4853 +2024/10/30 00:02:01 - mmengine - INFO - Epoch(train) [61][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:41:18 time: 0.4346 data_time: 0.0378 memory: 4652 grad_norm: 3.0049 loss: 4.3334 loss_cls: 2.9001 loss_bbox: 1.4333 +2024/10/30 00:02:23 - mmengine - INFO - Epoch(train) [61][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:40:57 time: 0.4329 data_time: 0.0394 memory: 4652 grad_norm: 2.8376 loss: 4.3107 loss_cls: 2.8807 loss_bbox: 1.4299 +2024/10/30 00:02:45 - mmengine - INFO - Epoch(train) [61][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:40:36 time: 0.4409 data_time: 0.0422 memory: 4652 grad_norm: 3.0314 loss: 4.3235 loss_cls: 2.8892 loss_bbox: 1.4343 +2024/10/30 00:03:06 - mmengine - INFO - Epoch(train) [61][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:40:15 time: 0.4342 data_time: 0.0392 memory: 4652 grad_norm: 2.5995 loss: 4.3271 loss_cls: 2.9122 loss_bbox: 1.4149 +2024/10/30 00:03:28 - mmengine - INFO - Epoch(train) [61][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:39:53 time: 0.4282 data_time: 0.0391 memory: 4652 grad_norm: 2.9450 loss: 4.4536 loss_cls: 2.9438 loss_bbox: 1.5098 +2024/10/30 00:03:49 - mmengine - INFO - Epoch(train) [61][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:39:32 time: 0.4344 data_time: 0.0389 memory: 4652 grad_norm: 2.9802 loss: 4.2096 loss_cls: 2.8322 loss_bbox: 1.3774 +2024/10/30 00:04:11 - mmengine - INFO - Epoch(train) [61][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:39:11 time: 0.4327 data_time: 0.0373 memory: 4652 grad_norm: 2.7717 loss: 4.3373 loss_cls: 2.8989 loss_bbox: 1.4384 +2024/10/30 00:04:33 - mmengine - INFO - Epoch(train) [61][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:38:50 time: 0.4468 data_time: 0.0376 memory: 4652 grad_norm: 2.7446 loss: 4.3999 loss_cls: 2.9423 loss_bbox: 1.4576 +2024/10/30 00:04:55 - mmengine - INFO - Epoch(train) [61][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:38:29 time: 0.4349 data_time: 0.0406 memory: 4652 grad_norm: 2.8802 loss: 4.5027 loss_cls: 2.9483 loss_bbox: 1.5544 +2024/10/30 00:05:18 - mmengine - INFO - Epoch(train) [61][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:38:09 time: 0.4458 data_time: 0.0498 memory: 4652 grad_norm: 2.6929 loss: 4.3542 loss_cls: 2.8739 loss_bbox: 1.4803 +2024/10/30 00:05:39 - mmengine - INFO - Epoch(train) [61][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:37:48 time: 0.4380 data_time: 0.0397 memory: 4652 grad_norm: 2.9959 loss: 4.3457 loss_cls: 2.9423 loss_bbox: 1.4034 +2024/10/30 00:06:01 - mmengine - INFO - Epoch(train) [61][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:37:26 time: 0.4274 data_time: 0.0384 memory: 4652 grad_norm: 2.8280 loss: 4.4260 loss_cls: 2.9905 loss_bbox: 1.4355 +2024/10/30 00:06:23 - mmengine - INFO - Epoch(train) [61][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:37:05 time: 0.4412 data_time: 0.0454 memory: 4652 grad_norm: 2.7310 loss: 4.3165 loss_cls: 2.8570 loss_bbox: 1.4595 +2024/10/30 00:06:27 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 00:06:44 - mmengine - INFO - Epoch(train) [61][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:36:43 time: 0.4175 data_time: 0.0370 memory: 4652 grad_norm: 2.6728 loss: 4.2813 loss_cls: 2.8668 loss_bbox: 1.4145 +2024/10/30 00:07:06 - mmengine - INFO - Epoch(train) [61][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:36:23 time: 0.4458 data_time: 0.0494 memory: 4652 grad_norm: 3.0654 loss: 4.3231 loss_cls: 2.8850 loss_bbox: 1.4382 +2024/10/30 00:07:27 - mmengine - INFO - Epoch(train) [61][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:36:01 time: 0.4188 data_time: 0.0379 memory: 4652 grad_norm: 3.0205 loss: 4.3218 loss_cls: 2.8931 loss_bbox: 1.4288 +2024/10/30 00:07:49 - mmengine - INFO - Epoch(train) [61][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:35:40 time: 0.4375 data_time: 0.0440 memory: 4652 grad_norm: 2.6668 loss: 4.3454 loss_cls: 2.9007 loss_bbox: 1.4447 +2024/10/30 00:08:10 - mmengine - INFO - Epoch(train) [61][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:35:18 time: 0.4303 data_time: 0.0458 memory: 4652 grad_norm: 3.0095 loss: 4.3808 loss_cls: 2.9095 loss_bbox: 1.4713 +2024/10/30 00:08:32 - mmengine - INFO - Epoch(train) [61][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:34:57 time: 0.4288 data_time: 0.0390 memory: 4652 grad_norm: 3.1578 loss: 4.2631 loss_cls: 2.8549 loss_bbox: 1.4082 +2024/10/30 00:08:55 - mmengine - INFO - Epoch(train) [61][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:34:37 time: 0.4512 data_time: 0.0382 memory: 4652 grad_norm: 2.9033 loss: 4.2787 loss_cls: 2.8518 loss_bbox: 1.4269 +2024/10/30 00:09:16 - mmengine - INFO - Epoch(train) [61][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:34:15 time: 0.4304 data_time: 0.0451 memory: 4652 grad_norm: 2.8599 loss: 4.3897 loss_cls: 2.9293 loss_bbox: 1.4605 +2024/10/30 00:09:39 - mmengine - INFO - Epoch(train) [61][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:33:55 time: 0.4492 data_time: 0.0514 memory: 4652 grad_norm: 2.8129 loss: 4.3486 loss_cls: 2.8857 loss_bbox: 1.4629 +2024/10/30 00:10:00 - mmengine - INFO - Epoch(train) [61][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:33:34 time: 0.4341 data_time: 0.0389 memory: 4652 grad_norm: 2.9104 loss: 4.3931 loss_cls: 2.9123 loss_bbox: 1.4808 +2024/10/30 00:10:22 - mmengine - INFO - Epoch(train) [61][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:33:12 time: 0.4322 data_time: 0.0409 memory: 4652 grad_norm: 3.0843 loss: 4.3708 loss_cls: 2.9044 loss_bbox: 1.4664 +2024/10/30 00:10:44 - mmengine - INFO - Epoch(train) [61][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:32:52 time: 0.4428 data_time: 0.0468 memory: 4652 grad_norm: 2.7601 loss: 4.4538 loss_cls: 2.9513 loss_bbox: 1.5025 +2024/10/30 00:11:06 - mmengine - INFO - Epoch(train) [61][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:32:31 time: 0.4380 data_time: 0.0436 memory: 4652 grad_norm: 3.1043 loss: 4.3792 loss_cls: 2.9379 loss_bbox: 1.4413 +2024/10/30 00:11:27 - mmengine - INFO - Epoch(train) [61][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:32:09 time: 0.4290 data_time: 0.0529 memory: 4652 grad_norm: 2.8403 loss: 4.3121 loss_cls: 2.8700 loss_bbox: 1.4420 +2024/10/30 00:11:49 - mmengine - INFO - Epoch(train) [61][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:31:48 time: 0.4325 data_time: 0.0405 memory: 4652 grad_norm: 2.8533 loss: 4.4546 loss_cls: 2.9819 loss_bbox: 1.4726 +2024/10/30 00:12:12 - mmengine - INFO - Epoch(train) [61][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:31:28 time: 0.4482 data_time: 0.0470 memory: 4652 grad_norm: 2.7335 loss: 4.4430 loss_cls: 2.9309 loss_bbox: 1.5122 +2024/10/30 00:12:33 - mmengine - INFO - Epoch(train) [61][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:31:06 time: 0.4338 data_time: 0.0422 memory: 4652 grad_norm: 2.8874 loss: 4.4393 loss_cls: 2.9658 loss_bbox: 1.4735 +2024/10/30 00:12:55 - mmengine - INFO - Epoch(train) [61][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:30:45 time: 0.4329 data_time: 0.0389 memory: 4652 grad_norm: 2.8807 loss: 4.4357 loss_cls: 2.9433 loss_bbox: 1.4924 +2024/10/30 00:13:17 - mmengine - INFO - Epoch(train) [61][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:30:24 time: 0.4339 data_time: 0.0403 memory: 4652 grad_norm: 2.7904 loss: 4.3985 loss_cls: 2.9540 loss_bbox: 1.4445 +2024/10/30 00:13:38 - mmengine - INFO - Epoch(train) [61][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:30:03 time: 0.4327 data_time: 0.0422 memory: 4652 grad_norm: 2.8350 loss: 4.4331 loss_cls: 2.9551 loss_bbox: 1.4780 +2024/10/30 00:13:42 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 00:14:00 - mmengine - INFO - Epoch(train) [61][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:29:42 time: 0.4380 data_time: 0.0384 memory: 4652 grad_norm: 2.9721 loss: 4.3456 loss_cls: 2.9327 loss_bbox: 1.4128 +2024/10/30 00:14:22 - mmengine - INFO - Epoch(train) [61][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:29:21 time: 0.4420 data_time: 0.0460 memory: 4652 grad_norm: 2.9747 loss: 4.2672 loss_cls: 2.8584 loss_bbox: 1.4088 +2024/10/30 00:14:44 - mmengine - INFO - Epoch(train) [61][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:29:00 time: 0.4337 data_time: 0.0465 memory: 4652 grad_norm: 3.0837 loss: 4.3039 loss_cls: 2.8506 loss_bbox: 1.4533 +2024/10/30 00:15:06 - mmengine - INFO - Epoch(train) [61][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:28:39 time: 0.4334 data_time: 0.0384 memory: 4652 grad_norm: 2.8201 loss: 4.3855 loss_cls: 2.9036 loss_bbox: 1.4820 +2024/10/30 00:15:27 - mmengine - INFO - Epoch(train) [61][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:28:17 time: 0.4245 data_time: 0.0392 memory: 4652 grad_norm: 3.0149 loss: 4.3131 loss_cls: 2.8892 loss_bbox: 1.4240 +2024/10/30 00:15:48 - mmengine - INFO - Epoch(train) [61][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:27:55 time: 0.4304 data_time: 0.0467 memory: 4652 grad_norm: 2.8909 loss: 4.4462 loss_cls: 2.9628 loss_bbox: 1.4834 +2024/10/30 00:15:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 00:15:50 - mmengine - INFO - Saving checkpoint at 61 epochs +2024/10/30 00:16:17 - mmengine - INFO - Epoch(train) [62][ 50/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:27:33 time: 0.4388 data_time: 0.0516 memory: 4652 grad_norm: 2.9294 loss: 4.3370 loss_cls: 2.9056 loss_bbox: 1.4314 +2024/10/30 00:16:38 - mmengine - INFO - Epoch(train) [62][ 100/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:27:12 time: 0.4327 data_time: 0.0420 memory: 4652 grad_norm: 2.9909 loss: 4.2924 loss_cls: 2.9008 loss_bbox: 1.3916 +2024/10/30 00:17:00 - mmengine - INFO - Epoch(train) [62][ 150/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:26:50 time: 0.4250 data_time: 0.0387 memory: 4652 grad_norm: 2.8242 loss: 4.3768 loss_cls: 2.9483 loss_bbox: 1.4285 +2024/10/30 00:17:22 - mmengine - INFO - Epoch(train) [62][ 200/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:26:29 time: 0.4456 data_time: 0.0461 memory: 4652 grad_norm: 2.8139 loss: 4.2936 loss_cls: 2.8751 loss_bbox: 1.4185 +2024/10/30 00:17:44 - mmengine - INFO - Epoch(train) [62][ 250/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:26:08 time: 0.4354 data_time: 0.0462 memory: 4652 grad_norm: 2.9550 loss: 4.3048 loss_cls: 2.8823 loss_bbox: 1.4225 +2024/10/30 00:18:05 - mmengine - INFO - Epoch(train) [62][ 300/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:25:47 time: 0.4257 data_time: 0.0387 memory: 4652 grad_norm: 2.8987 loss: 4.4026 loss_cls: 2.9112 loss_bbox: 1.4914 +2024/10/30 00:18:27 - mmengine - INFO - Epoch(train) [62][ 350/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:25:25 time: 0.4331 data_time: 0.0381 memory: 4652 grad_norm: 3.0578 loss: 4.2728 loss_cls: 2.8740 loss_bbox: 1.3988 +2024/10/30 00:18:48 - mmengine - INFO - Epoch(train) [62][ 400/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:25:04 time: 0.4302 data_time: 0.0469 memory: 4652 grad_norm: 2.7847 loss: 4.3634 loss_cls: 2.8842 loss_bbox: 1.4792 +2024/10/30 00:19:09 - mmengine - INFO - Epoch(train) [62][ 450/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:24:42 time: 0.4225 data_time: 0.0412 memory: 4652 grad_norm: 2.9232 loss: 4.3467 loss_cls: 2.9043 loss_bbox: 1.4425 +2024/10/30 00:19:32 - mmengine - INFO - Epoch(train) [62][ 500/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:24:22 time: 0.4459 data_time: 0.0521 memory: 4652 grad_norm: 3.0884 loss: 4.2290 loss_cls: 2.8204 loss_bbox: 1.4087 +2024/10/30 00:19:53 - mmengine - INFO - Epoch(train) [62][ 550/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:24:00 time: 0.4202 data_time: 0.0363 memory: 4652 grad_norm: 3.0108 loss: 4.4164 loss_cls: 2.9475 loss_bbox: 1.4689 +2024/10/30 00:20:15 - mmengine - INFO - Epoch(train) [62][ 600/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:23:39 time: 0.4437 data_time: 0.0416 memory: 4652 grad_norm: 2.8857 loss: 4.2184 loss_cls: 2.8303 loss_bbox: 1.3881 +2024/10/30 00:20:37 - mmengine - INFO - Epoch(train) [62][ 650/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:23:18 time: 0.4393 data_time: 0.0485 memory: 4652 grad_norm: 3.0195 loss: 4.4045 loss_cls: 2.9605 loss_bbox: 1.4440 +2024/10/30 00:21:00 - mmengine - INFO - Epoch(train) [62][ 700/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:22:58 time: 0.4568 data_time: 0.0388 memory: 4652 grad_norm: 2.9564 loss: 4.3676 loss_cls: 2.9130 loss_bbox: 1.4546 +2024/10/30 00:21:02 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 00:21:21 - mmengine - INFO - Epoch(train) [62][ 750/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:22:37 time: 0.4269 data_time: 0.0458 memory: 4652 grad_norm: 2.9956 loss: 4.3501 loss_cls: 2.9033 loss_bbox: 1.4468 +2024/10/30 00:21:43 - mmengine - INFO - Epoch(train) [62][ 800/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:22:16 time: 0.4407 data_time: 0.0376 memory: 4652 grad_norm: 2.9943 loss: 4.4364 loss_cls: 2.9736 loss_bbox: 1.4628 +2024/10/30 00:22:06 - mmengine - INFO - Epoch(train) [62][ 850/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:21:55 time: 0.4484 data_time: 0.0411 memory: 4652 grad_norm: 2.8865 loss: 4.4342 loss_cls: 2.9584 loss_bbox: 1.4759 +2024/10/30 00:22:27 - mmengine - INFO - Epoch(train) [62][ 900/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:21:34 time: 0.4337 data_time: 0.0395 memory: 4652 grad_norm: 3.0055 loss: 4.2399 loss_cls: 2.8220 loss_bbox: 1.4179 +2024/10/30 00:22:50 - mmengine - INFO - Epoch(train) [62][ 950/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:21:14 time: 0.4574 data_time: 0.0498 memory: 4652 grad_norm: 2.8645 loss: 4.3866 loss_cls: 2.9345 loss_bbox: 1.4521 +2024/10/30 00:23:12 - mmengine - INFO - Epoch(train) [62][1000/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:20:53 time: 0.4287 data_time: 0.0485 memory: 4652 grad_norm: 2.8115 loss: 4.4066 loss_cls: 2.9396 loss_bbox: 1.4669 +2024/10/30 00:23:33 - mmengine - INFO - Epoch(train) [62][1050/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:20:31 time: 0.4342 data_time: 0.0411 memory: 4652 grad_norm: 3.0042 loss: 4.2860 loss_cls: 2.8659 loss_bbox: 1.4200 +2024/10/30 00:23:55 - mmengine - INFO - Epoch(train) [62][1100/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:20:10 time: 0.4388 data_time: 0.0397 memory: 4652 grad_norm: 3.0110 loss: 4.4190 loss_cls: 2.9423 loss_bbox: 1.4767 +2024/10/30 00:24:17 - mmengine - INFO - Epoch(train) [62][1150/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:19:49 time: 0.4367 data_time: 0.0490 memory: 4652 grad_norm: 2.8742 loss: 4.4329 loss_cls: 2.9667 loss_bbox: 1.4662 +2024/10/30 00:24:40 - mmengine - INFO - Epoch(train) [62][1200/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:19:29 time: 0.4464 data_time: 0.0419 memory: 4652 grad_norm: 3.0721 loss: 4.3847 loss_cls: 2.8870 loss_bbox: 1.4976 +2024/10/30 00:25:01 - mmengine - INFO - Epoch(train) [62][1250/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:19:07 time: 0.4241 data_time: 0.0489 memory: 4652 grad_norm: 2.8819 loss: 4.2161 loss_cls: 2.8424 loss_bbox: 1.3737 +2024/10/30 00:25:23 - mmengine - INFO - Epoch(train) [62][1300/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:18:46 time: 0.4354 data_time: 0.0444 memory: 4652 grad_norm: 2.9216 loss: 4.3838 loss_cls: 2.9392 loss_bbox: 1.4446 +2024/10/30 00:25:44 - mmengine - INFO - Epoch(train) [62][1350/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:18:25 time: 0.4299 data_time: 0.0449 memory: 4652 grad_norm: 2.9496 loss: 4.4155 loss_cls: 2.9359 loss_bbox: 1.4796 +2024/10/30 00:26:06 - mmengine - INFO - Epoch(train) [62][1400/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:18:03 time: 0.4306 data_time: 0.0385 memory: 4652 grad_norm: 2.7464 loss: 4.4441 loss_cls: 2.9470 loss_bbox: 1.4971 +2024/10/30 00:26:27 - mmengine - INFO - Epoch(train) [62][1450/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:17:42 time: 0.4368 data_time: 0.0378 memory: 4652 grad_norm: 2.7897 loss: 4.3911 loss_cls: 2.9564 loss_bbox: 1.4347 +2024/10/30 00:26:49 - mmengine - INFO - Epoch(train) [62][1500/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:17:20 time: 0.4230 data_time: 0.0449 memory: 4652 grad_norm: 2.8801 loss: 4.3873 loss_cls: 2.9058 loss_bbox: 1.4815 +2024/10/30 00:27:11 - mmengine - INFO - Epoch(train) [62][1550/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:16:59 time: 0.4396 data_time: 0.0426 memory: 4652 grad_norm: 3.0320 loss: 4.4048 loss_cls: 2.9553 loss_bbox: 1.4495 +2024/10/30 00:27:33 - mmengine - INFO - Epoch(train) [62][1600/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:16:39 time: 0.4397 data_time: 0.0430 memory: 4652 grad_norm: 2.9326 loss: 4.3384 loss_cls: 2.9094 loss_bbox: 1.4290 +2024/10/30 00:27:54 - mmengine - INFO - Epoch(train) [62][1650/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:16:17 time: 0.4286 data_time: 0.0427 memory: 4652 grad_norm: 2.8851 loss: 4.3918 loss_cls: 2.9394 loss_bbox: 1.4524 +2024/10/30 00:28:15 - mmengine - INFO - Epoch(train) [62][1700/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:15:55 time: 0.4245 data_time: 0.0389 memory: 4652 grad_norm: 2.9398 loss: 4.2354 loss_cls: 2.8575 loss_bbox: 1.3780 +2024/10/30 00:28:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 00:28:37 - mmengine - INFO - Epoch(train) [62][1750/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:15:34 time: 0.4275 data_time: 0.0369 memory: 4652 grad_norm: 2.9645 loss: 4.3181 loss_cls: 2.8787 loss_bbox: 1.4394 +2024/10/30 00:28:58 - mmengine - INFO - Epoch(train) [62][1800/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:15:12 time: 0.4275 data_time: 0.0385 memory: 4652 grad_norm: 2.9094 loss: 4.3812 loss_cls: 2.9125 loss_bbox: 1.4688 +2024/10/30 00:29:20 - mmengine - INFO - Epoch(train) [62][1850/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:14:51 time: 0.4308 data_time: 0.0428 memory: 4652 grad_norm: 2.7124 loss: 4.3571 loss_cls: 2.9406 loss_bbox: 1.4165 +2024/10/30 00:29:41 - mmengine - INFO - Epoch(train) [62][1900/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:14:30 time: 0.4283 data_time: 0.0398 memory: 4652 grad_norm: 2.8346 loss: 4.3661 loss_cls: 2.9107 loss_bbox: 1.4553 +2024/10/30 00:30:03 - mmengine - INFO - Epoch(train) [62][1950/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:14:08 time: 0.4303 data_time: 0.0383 memory: 4652 grad_norm: 2.7907 loss: 4.3930 loss_cls: 2.9379 loss_bbox: 1.4550 +2024/10/30 00:30:25 - mmengine - INFO - Epoch(train) [62][2000/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:13:48 time: 0.4547 data_time: 0.0687 memory: 4652 grad_norm: 2.7769 loss: 4.3974 loss_cls: 2.9126 loss_bbox: 1.4848 +2024/10/30 00:30:47 - mmengine - INFO - Epoch(train) [62][2050/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:13:27 time: 0.4311 data_time: 0.0400 memory: 4652 grad_norm: 2.9346 loss: 4.3600 loss_cls: 2.9290 loss_bbox: 1.4310 +2024/10/30 00:31:09 - mmengine - INFO - Epoch(train) [62][2100/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:13:06 time: 0.4419 data_time: 0.0444 memory: 4652 grad_norm: 2.9114 loss: 4.3649 loss_cls: 2.8879 loss_bbox: 1.4770 +2024/10/30 00:31:31 - mmengine - INFO - Epoch(train) [62][2150/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:12:45 time: 0.4382 data_time: 0.0448 memory: 4652 grad_norm: 2.9072 loss: 4.2692 loss_cls: 2.8617 loss_bbox: 1.4075 +2024/10/30 00:31:53 - mmengine - INFO - Epoch(train) [62][2200/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:12:24 time: 0.4492 data_time: 0.0517 memory: 4652 grad_norm: 2.9746 loss: 4.3493 loss_cls: 2.9243 loss_bbox: 1.4250 +2024/10/30 00:32:15 - mmengine - INFO - Epoch(train) [62][2250/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:12:03 time: 0.4267 data_time: 0.0385 memory: 4652 grad_norm: 3.0784 loss: 4.2712 loss_cls: 2.8627 loss_bbox: 1.4084 +2024/10/30 00:32:37 - mmengine - INFO - Epoch(train) [62][2300/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:11:42 time: 0.4442 data_time: 0.0494 memory: 4652 grad_norm: 2.8383 loss: 4.3339 loss_cls: 2.8815 loss_bbox: 1.4523 +2024/10/30 00:32:58 - mmengine - INFO - Epoch(train) [62][2350/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:11:21 time: 0.4256 data_time: 0.0403 memory: 4652 grad_norm: 3.0142 loss: 4.3904 loss_cls: 2.9008 loss_bbox: 1.4896 +2024/10/30 00:33:20 - mmengine - INFO - Epoch(train) [62][2400/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:10:59 time: 0.4302 data_time: 0.0403 memory: 4652 grad_norm: 2.9753 loss: 4.3679 loss_cls: 2.9061 loss_bbox: 1.4618 +2024/10/30 00:33:42 - mmengine - INFO - Epoch(train) [62][2450/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:10:38 time: 0.4404 data_time: 0.0497 memory: 4652 grad_norm: 2.9165 loss: 4.3945 loss_cls: 2.9112 loss_bbox: 1.4834 +2024/10/30 00:34:03 - mmengine - INFO - Epoch(train) [62][2500/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:10:17 time: 0.4300 data_time: 0.0390 memory: 4652 grad_norm: 2.7765 loss: 4.4515 loss_cls: 2.9348 loss_bbox: 1.5167 +2024/10/30 00:34:27 - mmengine - INFO - Epoch(train) [62][2550/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:09:57 time: 0.4705 data_time: 0.0747 memory: 4652 grad_norm: 2.7418 loss: 4.3313 loss_cls: 2.8720 loss_bbox: 1.4593 +2024/10/30 00:34:48 - mmengine - INFO - Epoch(train) [62][2600/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:09:35 time: 0.4155 data_time: 0.0449 memory: 4652 grad_norm: 2.8282 loss: 4.4323 loss_cls: 2.9296 loss_bbox: 1.5027 +2024/10/30 00:35:10 - mmengine - INFO - Epoch(train) [62][2650/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:09:14 time: 0.4385 data_time: 0.0393 memory: 4652 grad_norm: 2.8952 loss: 4.3564 loss_cls: 2.9392 loss_bbox: 1.4172 +2024/10/30 00:35:31 - mmengine - INFO - Epoch(train) [62][2700/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:08:53 time: 0.4273 data_time: 0.0438 memory: 4652 grad_norm: 2.9854 loss: 4.4095 loss_cls: 2.9486 loss_bbox: 1.4608 +2024/10/30 00:35:34 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 00:35:53 - mmengine - INFO - Epoch(train) [62][2750/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:08:32 time: 0.4357 data_time: 0.0413 memory: 4652 grad_norm: 2.7597 loss: 4.3811 loss_cls: 2.9257 loss_bbox: 1.4554 +2024/10/30 00:36:15 - mmengine - INFO - Epoch(train) [62][2800/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:08:11 time: 0.4365 data_time: 0.0447 memory: 4652 grad_norm: 3.0156 loss: 4.3223 loss_cls: 2.8987 loss_bbox: 1.4235 +2024/10/30 00:36:36 - mmengine - INFO - Epoch(train) [62][2850/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:07:49 time: 0.4226 data_time: 0.0451 memory: 4652 grad_norm: 2.8433 loss: 4.3379 loss_cls: 2.9129 loss_bbox: 1.4249 +2024/10/30 00:36:57 - mmengine - INFO - Epoch(train) [62][2900/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:07:27 time: 0.4305 data_time: 0.0377 memory: 4652 grad_norm: 2.9948 loss: 4.3917 loss_cls: 2.9379 loss_bbox: 1.4538 +2024/10/30 00:37:19 - mmengine - INFO - Epoch(train) [62][2950/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:07:06 time: 0.4280 data_time: 0.0474 memory: 4652 grad_norm: 3.0079 loss: 4.3472 loss_cls: 2.9425 loss_bbox: 1.4047 +2024/10/30 00:37:41 - mmengine - INFO - Epoch(train) [62][3000/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:06:45 time: 0.4341 data_time: 0.0378 memory: 4652 grad_norm: 3.1261 loss: 4.3837 loss_cls: 2.9495 loss_bbox: 1.4342 +2024/10/30 00:38:02 - mmengine - INFO - Epoch(train) [62][3050/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 21:06:23 time: 0.4315 data_time: 0.0410 memory: 4652 grad_norm: 2.9974 loss: 4.2921 loss_cls: 2.8875 loss_bbox: 1.4046 +2024/10/30 00:38:06 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 00:38:06 - mmengine - INFO - Saving checkpoint at 62 epochs +2024/10/30 00:38:32 - mmengine - INFO - Epoch(train) [63][ 50/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 21:06:03 time: 0.4386 data_time: 0.0522 memory: 4652 grad_norm: 2.7317 loss: 4.4201 loss_cls: 2.9426 loss_bbox: 1.4775 +2024/10/30 00:38:54 - mmengine - INFO - Epoch(train) [63][ 100/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 21:05:42 time: 0.4405 data_time: 0.0375 memory: 4652 grad_norm: 2.8514 loss: 4.3793 loss_cls: 2.9162 loss_bbox: 1.4631 +2024/10/30 00:39:15 - mmengine - INFO - Epoch(train) [63][ 150/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 21:05:19 time: 0.4101 data_time: 0.0443 memory: 4652 grad_norm: 3.1443 loss: 4.4019 loss_cls: 2.9377 loss_bbox: 1.4642 +2024/10/30 00:39:36 - mmengine - INFO - Epoch(train) [63][ 200/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 21:04:58 time: 0.4239 data_time: 0.0370 memory: 4652 grad_norm: 2.7282 loss: 4.3654 loss_cls: 2.9096 loss_bbox: 1.4558 +2024/10/30 00:39:57 - mmengine - INFO - Epoch(train) [63][ 250/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 21:04:36 time: 0.4304 data_time: 0.0384 memory: 4652 grad_norm: 2.8821 loss: 4.3362 loss_cls: 2.8690 loss_bbox: 1.4673 +2024/10/30 00:40:19 - mmengine - INFO - Epoch(train) [63][ 300/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 21:04:15 time: 0.4237 data_time: 0.0383 memory: 4652 grad_norm: 3.0266 loss: 4.3661 loss_cls: 2.9341 loss_bbox: 1.4319 +2024/10/30 00:40:40 - mmengine - INFO - Epoch(train) [63][ 350/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 21:03:53 time: 0.4341 data_time: 0.0379 memory: 4652 grad_norm: 2.9008 loss: 4.3330 loss_cls: 2.8877 loss_bbox: 1.4453 +2024/10/30 00:41:01 - mmengine - INFO - Epoch(train) [63][ 400/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 21:03:31 time: 0.4111 data_time: 0.0382 memory: 4652 grad_norm: 2.7087 loss: 4.3209 loss_cls: 2.9002 loss_bbox: 1.4207 +2024/10/30 00:41:26 - mmengine - INFO - Epoch(train) [63][ 450/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 21:03:13 time: 0.4910 data_time: 0.0967 memory: 4652 grad_norm: 3.1088 loss: 4.4640 loss_cls: 3.0192 loss_bbox: 1.4448 +2024/10/30 00:41:47 - mmengine - INFO - Epoch(train) [63][ 500/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 21:02:51 time: 0.4320 data_time: 0.0435 memory: 4652 grad_norm: 3.0728 loss: 4.3796 loss_cls: 2.8999 loss_bbox: 1.4797 +2024/10/30 00:42:09 - mmengine - INFO - Epoch(train) [63][ 550/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 21:02:30 time: 0.4324 data_time: 0.0462 memory: 4652 grad_norm: 2.8125 loss: 4.3807 loss_cls: 2.9086 loss_bbox: 1.4721 +2024/10/30 00:42:30 - mmengine - INFO - Epoch(train) [63][ 600/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 21:02:09 time: 0.4302 data_time: 0.0379 memory: 4652 grad_norm: 2.9366 loss: 4.4032 loss_cls: 2.9454 loss_bbox: 1.4578 +2024/10/30 00:42:51 - mmengine - INFO - Epoch(train) [63][ 650/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 21:01:46 time: 0.4140 data_time: 0.0415 memory: 4652 grad_norm: 2.7286 loss: 4.4425 loss_cls: 2.9112 loss_bbox: 1.5314 +2024/10/30 00:42:52 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 00:43:13 - mmengine - INFO - Epoch(train) [63][ 700/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 21:01:25 time: 0.4343 data_time: 0.0371 memory: 4652 grad_norm: 3.0036 loss: 4.4075 loss_cls: 2.9145 loss_bbox: 1.4930 +2024/10/30 00:43:34 - mmengine - INFO - Epoch(train) [63][ 750/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 21:01:04 time: 0.4323 data_time: 0.0436 memory: 4652 grad_norm: 2.9274 loss: 4.3279 loss_cls: 2.8792 loss_bbox: 1.4486 +2024/10/30 00:43:56 - mmengine - INFO - Epoch(train) [63][ 800/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 21:00:42 time: 0.4276 data_time: 0.0389 memory: 4652 grad_norm: 2.9682 loss: 4.3510 loss_cls: 2.9051 loss_bbox: 1.4459 +2024/10/30 00:44:17 - mmengine - INFO - Epoch(train) [63][ 850/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 21:00:21 time: 0.4292 data_time: 0.0406 memory: 4652 grad_norm: 3.0821 loss: 4.3471 loss_cls: 2.9059 loss_bbox: 1.4412 +2024/10/30 00:44:38 - mmengine - INFO - Epoch(train) [63][ 900/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:59:58 time: 0.4079 data_time: 0.0375 memory: 4652 grad_norm: 2.8117 loss: 4.4108 loss_cls: 2.9444 loss_bbox: 1.4664 +2024/10/30 00:45:00 - mmengine - INFO - Epoch(train) [63][ 950/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:59:38 time: 0.4405 data_time: 0.0390 memory: 4652 grad_norm: 2.8195 loss: 4.4067 loss_cls: 2.9143 loss_bbox: 1.4923 +2024/10/30 00:45:21 - mmengine - INFO - Epoch(train) [63][1000/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:59:16 time: 0.4202 data_time: 0.0374 memory: 4652 grad_norm: 2.8700 loss: 4.3067 loss_cls: 2.8564 loss_bbox: 1.4503 +2024/10/30 00:45:42 - mmengine - INFO - Epoch(train) [63][1050/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:58:54 time: 0.4284 data_time: 0.0453 memory: 4652 grad_norm: 2.8675 loss: 4.3852 loss_cls: 2.9083 loss_bbox: 1.4769 +2024/10/30 00:46:04 - mmengine - INFO - Epoch(train) [63][1100/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:58:33 time: 0.4309 data_time: 0.0385 memory: 4652 grad_norm: 2.8685 loss: 4.2833 loss_cls: 2.8691 loss_bbox: 1.4141 +2024/10/30 00:46:26 - mmengine - INFO - Epoch(train) [63][1150/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:58:12 time: 0.4401 data_time: 0.0681 memory: 4652 grad_norm: 3.2502 loss: 4.4301 loss_cls: 2.9319 loss_bbox: 1.4981 +2024/10/30 00:46:47 - mmengine - INFO - Epoch(train) [63][1200/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:57:51 time: 0.4345 data_time: 0.0387 memory: 4652 grad_norm: 2.6775 loss: 4.2914 loss_cls: 2.8549 loss_bbox: 1.4365 +2024/10/30 00:47:09 - mmengine - INFO - Epoch(train) [63][1250/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:57:29 time: 0.4260 data_time: 0.0433 memory: 4652 grad_norm: 2.9137 loss: 4.2528 loss_cls: 2.8534 loss_bbox: 1.3995 +2024/10/30 00:47:30 - mmengine - INFO - Epoch(train) [63][1300/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:57:08 time: 0.4262 data_time: 0.0378 memory: 4652 grad_norm: 2.7980 loss: 4.3631 loss_cls: 2.9026 loss_bbox: 1.4605 +2024/10/30 00:47:52 - mmengine - INFO - Epoch(train) [63][1350/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:56:47 time: 0.4369 data_time: 0.0429 memory: 4652 grad_norm: 2.9060 loss: 4.3419 loss_cls: 2.9046 loss_bbox: 1.4373 +2024/10/30 00:48:13 - mmengine - INFO - Epoch(train) [63][1400/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:56:24 time: 0.4134 data_time: 0.0428 memory: 4652 grad_norm: 2.7736 loss: 4.3853 loss_cls: 2.9168 loss_bbox: 1.4685 +2024/10/30 00:48:34 - mmengine - INFO - Epoch(train) [63][1450/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:56:03 time: 0.4307 data_time: 0.0437 memory: 4652 grad_norm: 3.0079 loss: 4.2764 loss_cls: 2.8801 loss_bbox: 1.3963 +2024/10/30 00:48:55 - mmengine - INFO - Epoch(train) [63][1500/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:55:41 time: 0.4170 data_time: 0.0466 memory: 4652 grad_norm: 3.0326 loss: 4.3254 loss_cls: 2.9025 loss_bbox: 1.4229 +2024/10/30 00:49:16 - mmengine - INFO - Epoch(train) [63][1550/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:55:19 time: 0.4236 data_time: 0.0397 memory: 4652 grad_norm: 2.9355 loss: 4.3261 loss_cls: 2.9086 loss_bbox: 1.4175 +2024/10/30 00:49:38 - mmengine - INFO - Epoch(train) [63][1600/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:54:58 time: 0.4320 data_time: 0.0473 memory: 4652 grad_norm: 2.8253 loss: 4.4339 loss_cls: 2.9387 loss_bbox: 1.4952 +2024/10/30 00:49:59 - mmengine - INFO - Epoch(train) [63][1650/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:54:36 time: 0.4232 data_time: 0.0500 memory: 4652 grad_norm: 2.9672 loss: 4.3163 loss_cls: 2.8869 loss_bbox: 1.4294 +2024/10/30 00:50:00 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 00:50:20 - mmengine - INFO - Epoch(train) [63][1700/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:54:15 time: 0.4253 data_time: 0.0458 memory: 4652 grad_norm: 2.7442 loss: 4.4467 loss_cls: 2.9807 loss_bbox: 1.4660 +2024/10/30 00:50:42 - mmengine - INFO - Epoch(train) [63][1750/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:53:53 time: 0.4248 data_time: 0.0393 memory: 4652 grad_norm: 2.8886 loss: 4.3591 loss_cls: 2.9152 loss_bbox: 1.4439 +2024/10/30 00:51:03 - mmengine - INFO - Epoch(train) [63][1800/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:53:31 time: 0.4274 data_time: 0.0394 memory: 4652 grad_norm: 2.8407 loss: 4.3419 loss_cls: 2.9109 loss_bbox: 1.4310 +2024/10/30 00:51:26 - mmengine - INFO - Epoch(train) [63][1850/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:53:12 time: 0.4660 data_time: 0.0793 memory: 4652 grad_norm: 3.0758 loss: 4.4245 loss_cls: 2.9525 loss_bbox: 1.4719 +2024/10/30 00:51:47 - mmengine - INFO - Epoch(train) [63][1900/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:52:50 time: 0.4141 data_time: 0.0382 memory: 4652 grad_norm: 2.8253 loss: 4.2659 loss_cls: 2.8466 loss_bbox: 1.4193 +2024/10/30 00:52:08 - mmengine - INFO - Epoch(train) [63][1950/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:52:28 time: 0.4213 data_time: 0.0396 memory: 4652 grad_norm: 3.0097 loss: 4.4035 loss_cls: 2.9190 loss_bbox: 1.4846 +2024/10/30 00:52:29 - mmengine - INFO - Epoch(train) [63][2000/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:52:06 time: 0.4192 data_time: 0.0429 memory: 4652 grad_norm: 2.7295 loss: 4.2742 loss_cls: 2.8710 loss_bbox: 1.4033 +2024/10/30 00:52:50 - mmengine - INFO - Epoch(train) [63][2050/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:51:44 time: 0.4260 data_time: 0.0394 memory: 4652 grad_norm: 2.7292 loss: 4.3994 loss_cls: 2.9162 loss_bbox: 1.4832 +2024/10/30 00:53:12 - mmengine - INFO - Epoch(train) [63][2100/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:51:23 time: 0.4412 data_time: 0.0514 memory: 4652 grad_norm: 2.7806 loss: 4.2979 loss_cls: 2.8522 loss_bbox: 1.4457 +2024/10/30 00:53:34 - mmengine - INFO - Epoch(train) [63][2150/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:51:02 time: 0.4290 data_time: 0.0379 memory: 4652 grad_norm: 3.0838 loss: 4.3899 loss_cls: 2.9422 loss_bbox: 1.4477 +2024/10/30 00:53:55 - mmengine - INFO - Epoch(train) [63][2200/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:50:40 time: 0.4210 data_time: 0.0377 memory: 4652 grad_norm: 2.8447 loss: 4.3488 loss_cls: 2.8912 loss_bbox: 1.4576 +2024/10/30 00:54:17 - mmengine - INFO - Epoch(train) [63][2250/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:50:19 time: 0.4351 data_time: 0.0398 memory: 4652 grad_norm: 3.0868 loss: 4.3632 loss_cls: 2.9078 loss_bbox: 1.4554 +2024/10/30 00:54:38 - mmengine - INFO - Epoch(train) [63][2300/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:49:58 time: 0.4313 data_time: 0.0369 memory: 4652 grad_norm: 2.8781 loss: 4.3227 loss_cls: 2.8787 loss_bbox: 1.4439 +2024/10/30 00:55:00 - mmengine - INFO - Epoch(train) [63][2350/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:49:37 time: 0.4377 data_time: 0.0392 memory: 4652 grad_norm: 2.9463 loss: 4.4156 loss_cls: 2.9168 loss_bbox: 1.4988 +2024/10/30 00:55:22 - mmengine - INFO - Epoch(train) [63][2400/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:49:16 time: 0.4368 data_time: 0.0376 memory: 4652 grad_norm: 2.8423 loss: 4.3387 loss_cls: 2.9074 loss_bbox: 1.4313 +2024/10/30 00:55:44 - mmengine - INFO - Epoch(train) [63][2450/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:48:55 time: 0.4458 data_time: 0.0367 memory: 4652 grad_norm: 3.1883 loss: 4.2216 loss_cls: 2.8349 loss_bbox: 1.3867 +2024/10/30 00:56:06 - mmengine - INFO - Epoch(train) [63][2500/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:48:34 time: 0.4401 data_time: 0.0370 memory: 4652 grad_norm: 2.9765 loss: 4.3889 loss_cls: 2.9396 loss_bbox: 1.4493 +2024/10/30 00:56:28 - mmengine - INFO - Epoch(train) [63][2550/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:48:13 time: 0.4306 data_time: 0.0416 memory: 4652 grad_norm: 2.8169 loss: 4.3948 loss_cls: 2.9435 loss_bbox: 1.4513 +2024/10/30 00:56:50 - mmengine - INFO - Epoch(train) [63][2600/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:47:51 time: 0.4309 data_time: 0.0364 memory: 4652 grad_norm: 2.7178 loss: 4.4574 loss_cls: 2.9553 loss_bbox: 1.5022 +2024/10/30 00:57:11 - mmengine - INFO - Epoch(train) [63][2650/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:47:30 time: 0.4375 data_time: 0.0404 memory: 4652 grad_norm: 2.9327 loss: 4.3318 loss_cls: 2.9248 loss_bbox: 1.4070 +2024/10/30 00:57:12 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 00:57:33 - mmengine - INFO - Epoch(train) [63][2700/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:47:08 time: 0.4243 data_time: 0.0387 memory: 4652 grad_norm: 2.9521 loss: 4.3226 loss_cls: 2.8730 loss_bbox: 1.4496 +2024/10/30 00:57:55 - mmengine - INFO - Epoch(train) [63][2750/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:46:48 time: 0.4492 data_time: 0.0377 memory: 4652 grad_norm: 3.0718 loss: 4.4067 loss_cls: 2.9461 loss_bbox: 1.4606 +2024/10/30 00:58:16 - mmengine - INFO - Epoch(train) [63][2800/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:46:26 time: 0.4181 data_time: 0.0366 memory: 4652 grad_norm: 3.1091 loss: 4.3427 loss_cls: 2.8972 loss_bbox: 1.4455 +2024/10/30 00:58:38 - mmengine - INFO - Epoch(train) [63][2850/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:46:05 time: 0.4429 data_time: 0.0376 memory: 4652 grad_norm: 2.9186 loss: 4.3173 loss_cls: 2.8554 loss_bbox: 1.4619 +2024/10/30 00:59:00 - mmengine - INFO - Epoch(train) [63][2900/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:45:44 time: 0.4354 data_time: 0.0362 memory: 4652 grad_norm: 3.0164 loss: 4.3985 loss_cls: 2.9438 loss_bbox: 1.4547 +2024/10/30 00:59:21 - mmengine - INFO - Epoch(train) [63][2950/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:45:23 time: 0.4270 data_time: 0.0376 memory: 4652 grad_norm: 3.0025 loss: 4.4080 loss_cls: 2.9525 loss_bbox: 1.4555 +2024/10/30 00:59:44 - mmengine - INFO - Epoch(train) [63][3000/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:45:03 time: 0.4600 data_time: 0.0472 memory: 4652 grad_norm: 2.8946 loss: 4.3683 loss_cls: 2.8872 loss_bbox: 1.4812 +2024/10/30 01:00:06 - mmengine - INFO - Epoch(train) [63][3050/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 20:44:41 time: 0.4241 data_time: 0.0364 memory: 4652 grad_norm: 3.0194 loss: 4.3064 loss_cls: 2.8488 loss_bbox: 1.4576 +2024/10/30 01:00:07 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 01:00:07 - mmengine - INFO - Saving checkpoint at 63 epochs +2024/10/30 01:00:36 - mmengine - INFO - Epoch(train) [64][ 50/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:44:19 time: 0.4464 data_time: 0.0574 memory: 4652 grad_norm: 2.8621 loss: 4.3191 loss_cls: 2.8812 loss_bbox: 1.4378 +2024/10/30 01:00:58 - mmengine - INFO - Epoch(train) [64][ 100/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:43:57 time: 0.4318 data_time: 0.0456 memory: 4652 grad_norm: 2.9954 loss: 4.3291 loss_cls: 2.8760 loss_bbox: 1.4531 +2024/10/30 01:01:19 - mmengine - INFO - Epoch(train) [64][ 150/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:43:36 time: 0.4271 data_time: 0.0402 memory: 4652 grad_norm: 2.8573 loss: 4.3692 loss_cls: 2.9037 loss_bbox: 1.4654 +2024/10/30 01:01:41 - mmengine - INFO - Epoch(train) [64][ 200/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:43:14 time: 0.4296 data_time: 0.0465 memory: 4652 grad_norm: 2.9049 loss: 4.3118 loss_cls: 2.8589 loss_bbox: 1.4529 +2024/10/30 01:02:01 - mmengine - INFO - Epoch(train) [64][ 250/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:42:52 time: 0.4162 data_time: 0.0405 memory: 4652 grad_norm: 3.0249 loss: 4.2654 loss_cls: 2.8806 loss_bbox: 1.3847 +2024/10/30 01:02:27 - mmengine - INFO - Epoch(train) [64][ 300/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:42:34 time: 0.5078 data_time: 0.1009 memory: 4652 grad_norm: 2.9303 loss: 4.4488 loss_cls: 2.9758 loss_bbox: 1.4730 +2024/10/30 01:02:49 - mmengine - INFO - Epoch(train) [64][ 350/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:42:13 time: 0.4400 data_time: 0.0429 memory: 4652 grad_norm: 2.8940 loss: 4.3321 loss_cls: 2.8579 loss_bbox: 1.4742 +2024/10/30 01:03:11 - mmengine - INFO - Epoch(train) [64][ 400/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:41:52 time: 0.4359 data_time: 0.0406 memory: 4652 grad_norm: 2.7820 loss: 4.3001 loss_cls: 2.8562 loss_bbox: 1.4439 +2024/10/30 01:03:33 - mmengine - INFO - Epoch(train) [64][ 450/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:41:32 time: 0.4491 data_time: 0.0394 memory: 4652 grad_norm: 2.9746 loss: 4.3984 loss_cls: 2.9210 loss_bbox: 1.4774 +2024/10/30 01:03:55 - mmengine - INFO - Epoch(train) [64][ 500/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:41:11 time: 0.4328 data_time: 0.0390 memory: 4652 grad_norm: 2.9050 loss: 4.4068 loss_cls: 2.9469 loss_bbox: 1.4599 +2024/10/30 01:04:17 - mmengine - INFO - Epoch(train) [64][ 550/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:40:50 time: 0.4407 data_time: 0.0384 memory: 4652 grad_norm: 3.0276 loss: 4.3175 loss_cls: 2.8813 loss_bbox: 1.4362 +2024/10/30 01:04:37 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 01:04:38 - mmengine - INFO - Epoch(train) [64][ 600/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:40:28 time: 0.4290 data_time: 0.0391 memory: 4652 grad_norm: 3.0773 loss: 4.2646 loss_cls: 2.8534 loss_bbox: 1.4112 +2024/10/30 01:05:01 - mmengine - INFO - Epoch(train) [64][ 650/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:40:08 time: 0.4486 data_time: 0.0419 memory: 4652 grad_norm: 2.8013 loss: 4.4179 loss_cls: 2.9567 loss_bbox: 1.4612 +2024/10/30 01:05:23 - mmengine - INFO - Epoch(train) [64][ 700/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:39:47 time: 0.4493 data_time: 0.0394 memory: 4652 grad_norm: 2.8584 loss: 4.3783 loss_cls: 2.9013 loss_bbox: 1.4770 +2024/10/30 01:05:45 - mmengine - INFO - Epoch(train) [64][ 750/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:39:26 time: 0.4317 data_time: 0.0430 memory: 4652 grad_norm: 2.9298 loss: 4.2323 loss_cls: 2.8060 loss_bbox: 1.4263 +2024/10/30 01:06:07 - mmengine - INFO - Epoch(train) [64][ 800/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:39:05 time: 0.4509 data_time: 0.0537 memory: 4652 grad_norm: 3.0104 loss: 4.3253 loss_cls: 2.9001 loss_bbox: 1.4252 +2024/10/30 01:06:29 - mmengine - INFO - Epoch(train) [64][ 850/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:38:44 time: 0.4343 data_time: 0.0402 memory: 4652 grad_norm: 2.6579 loss: 4.3095 loss_cls: 2.8782 loss_bbox: 1.4313 +2024/10/30 01:06:51 - mmengine - INFO - Epoch(train) [64][ 900/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:38:23 time: 0.4459 data_time: 0.0405 memory: 4652 grad_norm: 2.8501 loss: 4.3745 loss_cls: 2.9017 loss_bbox: 1.4728 +2024/10/30 01:07:14 - mmengine - INFO - Epoch(train) [64][ 950/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:38:03 time: 0.4552 data_time: 0.0588 memory: 4652 grad_norm: 3.1611 loss: 4.2785 loss_cls: 2.8702 loss_bbox: 1.4083 +2024/10/30 01:07:35 - mmengine - INFO - Epoch(train) [64][1000/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:37:41 time: 0.4232 data_time: 0.0409 memory: 4652 grad_norm: 2.7802 loss: 4.3046 loss_cls: 2.8954 loss_bbox: 1.4092 +2024/10/30 01:07:59 - mmengine - INFO - Epoch(train) [64][1050/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:37:22 time: 0.4624 data_time: 0.0379 memory: 4652 grad_norm: 3.0030 loss: 4.3016 loss_cls: 2.8977 loss_bbox: 1.4038 +2024/10/30 01:08:20 - mmengine - INFO - Epoch(train) [64][1100/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:37:00 time: 0.4235 data_time: 0.0390 memory: 4652 grad_norm: 2.9730 loss: 4.3598 loss_cls: 2.9153 loss_bbox: 1.4444 +2024/10/30 01:08:42 - mmengine - INFO - Epoch(train) [64][1150/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:36:39 time: 0.4490 data_time: 0.0449 memory: 4652 grad_norm: 2.8941 loss: 4.2915 loss_cls: 2.8690 loss_bbox: 1.4225 +2024/10/30 01:09:05 - mmengine - INFO - Epoch(train) [64][1200/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:36:19 time: 0.4513 data_time: 0.0501 memory: 4652 grad_norm: 2.8855 loss: 4.2915 loss_cls: 2.8717 loss_bbox: 1.4199 +2024/10/30 01:09:27 - mmengine - INFO - Epoch(train) [64][1250/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:35:58 time: 0.4350 data_time: 0.0441 memory: 4652 grad_norm: 2.9176 loss: 4.3038 loss_cls: 2.8721 loss_bbox: 1.4317 +2024/10/30 01:09:50 - mmengine - INFO - Epoch(train) [64][1300/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:35:38 time: 0.4648 data_time: 0.0423 memory: 4652 grad_norm: 2.8749 loss: 4.3201 loss_cls: 2.8803 loss_bbox: 1.4398 +2024/10/30 01:10:12 - mmengine - INFO - Epoch(train) [64][1350/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:35:17 time: 0.4489 data_time: 0.0525 memory: 4652 grad_norm: 2.8264 loss: 4.4081 loss_cls: 2.9261 loss_bbox: 1.4820 +2024/10/30 01:10:34 - mmengine - INFO - Epoch(train) [64][1400/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:34:56 time: 0.4349 data_time: 0.0384 memory: 4652 grad_norm: 3.1362 loss: 4.3406 loss_cls: 2.9277 loss_bbox: 1.4128 +2024/10/30 01:10:57 - mmengine - INFO - Epoch(train) [64][1450/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:34:36 time: 0.4506 data_time: 0.0404 memory: 4652 grad_norm: 3.0305 loss: 4.2231 loss_cls: 2.8454 loss_bbox: 1.3776 +2024/10/30 01:11:18 - mmengine - INFO - Epoch(train) [64][1500/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:34:14 time: 0.4289 data_time: 0.0398 memory: 4652 grad_norm: 2.9514 loss: 4.3246 loss_cls: 2.8691 loss_bbox: 1.4555 +2024/10/30 01:11:41 - mmengine - INFO - Epoch(train) [64][1550/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:33:54 time: 0.4515 data_time: 0.0496 memory: 4652 grad_norm: 2.9514 loss: 4.3352 loss_cls: 2.8863 loss_bbox: 1.4489 +2024/10/30 01:12:02 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 01:12:02 - mmengine - INFO - Epoch(train) [64][1600/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:33:33 time: 0.4371 data_time: 0.0420 memory: 4652 grad_norm: 3.2806 loss: 4.3531 loss_cls: 2.9124 loss_bbox: 1.4408 +2024/10/30 01:12:28 - mmengine - INFO - Epoch(train) [64][1650/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:33:15 time: 0.5098 data_time: 0.0985 memory: 4652 grad_norm: 2.8122 loss: 4.4453 loss_cls: 2.9545 loss_bbox: 1.4908 +2024/10/30 01:12:50 - mmengine - INFO - Epoch(train) [64][1700/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:32:54 time: 0.4414 data_time: 0.0398 memory: 4652 grad_norm: 3.1298 loss: 4.4623 loss_cls: 2.9431 loss_bbox: 1.5193 +2024/10/30 01:13:12 - mmengine - INFO - Epoch(train) [64][1750/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:32:33 time: 0.4392 data_time: 0.0388 memory: 4652 grad_norm: 3.0644 loss: 4.3911 loss_cls: 2.9494 loss_bbox: 1.4417 +2024/10/30 01:13:34 - mmengine - INFO - Epoch(train) [64][1800/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:32:12 time: 0.4349 data_time: 0.0428 memory: 4652 grad_norm: 2.8349 loss: 4.2538 loss_cls: 2.8411 loss_bbox: 1.4126 +2024/10/30 01:13:56 - mmengine - INFO - Epoch(train) [64][1850/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:31:51 time: 0.4378 data_time: 0.0451 memory: 4652 grad_norm: 2.8022 loss: 4.3124 loss_cls: 2.8991 loss_bbox: 1.4133 +2024/10/30 01:14:18 - mmengine - INFO - Epoch(train) [64][1900/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:31:30 time: 0.4436 data_time: 0.0371 memory: 4652 grad_norm: 2.8086 loss: 4.2732 loss_cls: 2.8663 loss_bbox: 1.4069 +2024/10/30 01:14:40 - mmengine - INFO - Epoch(train) [64][1950/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:31:09 time: 0.4447 data_time: 0.0369 memory: 4652 grad_norm: 3.0797 loss: 4.3353 loss_cls: 2.9249 loss_bbox: 1.4103 +2024/10/30 01:15:02 - mmengine - INFO - Epoch(train) [64][2000/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:30:48 time: 0.4347 data_time: 0.0385 memory: 4652 grad_norm: 2.8826 loss: 4.3394 loss_cls: 2.9338 loss_bbox: 1.4056 +2024/10/30 01:15:26 - mmengine - INFO - Epoch(train) [64][2050/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:30:29 time: 0.4853 data_time: 0.0860 memory: 4652 grad_norm: 3.1218 loss: 4.3026 loss_cls: 2.8570 loss_bbox: 1.4457 +2024/10/30 01:15:48 - mmengine - INFO - Epoch(train) [64][2100/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:30:08 time: 0.4322 data_time: 0.0426 memory: 4652 grad_norm: 2.8553 loss: 4.3965 loss_cls: 2.9311 loss_bbox: 1.4654 +2024/10/30 01:16:10 - mmengine - INFO - Epoch(train) [64][2150/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:29:47 time: 0.4497 data_time: 0.0418 memory: 4652 grad_norm: 2.7526 loss: 4.4023 loss_cls: 2.9511 loss_bbox: 1.4512 +2024/10/30 01:16:32 - mmengine - INFO - Epoch(train) [64][2200/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:29:26 time: 0.4427 data_time: 0.0401 memory: 4652 grad_norm: 2.8107 loss: 4.3890 loss_cls: 2.9293 loss_bbox: 1.4597 +2024/10/30 01:16:55 - mmengine - INFO - Epoch(train) [64][2250/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:29:06 time: 0.4408 data_time: 0.0494 memory: 4652 grad_norm: 2.8834 loss: 4.3892 loss_cls: 2.9191 loss_bbox: 1.4701 +2024/10/30 01:17:17 - mmengine - INFO - Epoch(train) [64][2300/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:28:45 time: 0.4396 data_time: 0.0387 memory: 4652 grad_norm: 2.8120 loss: 4.4011 loss_cls: 2.9703 loss_bbox: 1.4308 +2024/10/30 01:17:38 - mmengine - INFO - Epoch(train) [64][2350/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:28:23 time: 0.4314 data_time: 0.0395 memory: 4652 grad_norm: 2.9396 loss: 4.3476 loss_cls: 2.8561 loss_bbox: 1.4916 +2024/10/30 01:18:00 - mmengine - INFO - Epoch(train) [64][2400/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:28:02 time: 0.4438 data_time: 0.0468 memory: 4652 grad_norm: 2.8322 loss: 4.3701 loss_cls: 2.9168 loss_bbox: 1.4533 +2024/10/30 01:18:23 - mmengine - INFO - Epoch(train) [64][2450/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:27:42 time: 0.4487 data_time: 0.0424 memory: 4652 grad_norm: 2.7726 loss: 4.3133 loss_cls: 2.9087 loss_bbox: 1.4047 +2024/10/30 01:18:45 - mmengine - INFO - Epoch(train) [64][2500/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:27:21 time: 0.4410 data_time: 0.0474 memory: 4652 grad_norm: 2.9954 loss: 4.3914 loss_cls: 2.9134 loss_bbox: 1.4780 +2024/10/30 01:19:07 - mmengine - INFO - Epoch(train) [64][2550/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:27:00 time: 0.4431 data_time: 0.0378 memory: 4652 grad_norm: 2.9949 loss: 4.3110 loss_cls: 2.9031 loss_bbox: 1.4079 +2024/10/30 01:19:28 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 01:19:28 - mmengine - INFO - Epoch(train) [64][2600/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:26:39 time: 0.4276 data_time: 0.0381 memory: 4652 grad_norm: 2.7856 loss: 4.3482 loss_cls: 2.8966 loss_bbox: 1.4516 +2024/10/30 01:19:50 - mmengine - INFO - Epoch(train) [64][2650/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:26:17 time: 0.4267 data_time: 0.0422 memory: 4652 grad_norm: 3.0933 loss: 4.3049 loss_cls: 2.8562 loss_bbox: 1.4487 +2024/10/30 01:20:12 - mmengine - INFO - Epoch(train) [64][2700/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:25:56 time: 0.4385 data_time: 0.0396 memory: 4652 grad_norm: 2.8520 loss: 4.3531 loss_cls: 2.9183 loss_bbox: 1.4348 +2024/10/30 01:20:34 - mmengine - INFO - Epoch(train) [64][2750/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:25:35 time: 0.4381 data_time: 0.0432 memory: 4652 grad_norm: 2.8839 loss: 4.3744 loss_cls: 2.9008 loss_bbox: 1.4736 +2024/10/30 01:20:55 - mmengine - INFO - Epoch(train) [64][2800/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:25:14 time: 0.4326 data_time: 0.0370 memory: 4652 grad_norm: 2.7567 loss: 4.3556 loss_cls: 2.8781 loss_bbox: 1.4775 +2024/10/30 01:21:17 - mmengine - INFO - Epoch(train) [64][2850/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:24:53 time: 0.4375 data_time: 0.0406 memory: 4652 grad_norm: 2.9679 loss: 4.3542 loss_cls: 2.8808 loss_bbox: 1.4734 +2024/10/30 01:21:39 - mmengine - INFO - Epoch(train) [64][2900/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:24:31 time: 0.4382 data_time: 0.0384 memory: 4652 grad_norm: 3.2928 loss: 4.3850 loss_cls: 2.9226 loss_bbox: 1.4625 +2024/10/30 01:22:02 - mmengine - INFO - Epoch(train) [64][2950/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:24:11 time: 0.4503 data_time: 0.0444 memory: 4652 grad_norm: 2.8482 loss: 4.3296 loss_cls: 2.8767 loss_bbox: 1.4528 +2024/10/30 01:22:28 - mmengine - INFO - Epoch(train) [64][3000/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:23:54 time: 0.5262 data_time: 0.1338 memory: 4652 grad_norm: 2.9285 loss: 4.3592 loss_cls: 2.9267 loss_bbox: 1.4324 +2024/10/30 01:22:50 - mmengine - INFO - Epoch(train) [64][3050/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 20:23:33 time: 0.4370 data_time: 0.0417 memory: 4652 grad_norm: 2.9326 loss: 4.2772 loss_cls: 2.8908 loss_bbox: 1.3863 +2024/10/30 01:22:51 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 01:22:51 - mmengine - INFO - Saving checkpoint at 64 epochs +2024/10/30 01:23:18 - mmengine - INFO - Epoch(train) [65][ 50/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:23:10 time: 0.4424 data_time: 0.0541 memory: 4652 grad_norm: 2.9114 loss: 4.3522 loss_cls: 2.8954 loss_bbox: 1.4568 +2024/10/30 01:23:39 - mmengine - INFO - Epoch(train) [65][ 100/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:22:48 time: 0.4189 data_time: 0.0382 memory: 4652 grad_norm: 2.9662 loss: 4.3094 loss_cls: 2.8560 loss_bbox: 1.4533 +2024/10/30 01:24:00 - mmengine - INFO - Epoch(train) [65][ 150/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:22:26 time: 0.4277 data_time: 0.0388 memory: 4652 grad_norm: 3.0859 loss: 4.3328 loss_cls: 2.9149 loss_bbox: 1.4179 +2024/10/30 01:24:21 - mmengine - INFO - Epoch(train) [65][ 200/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:22:04 time: 0.4173 data_time: 0.0392 memory: 4652 grad_norm: 2.9420 loss: 4.3119 loss_cls: 2.8514 loss_bbox: 1.4605 +2024/10/30 01:24:43 - mmengine - INFO - Epoch(train) [65][ 250/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:21:43 time: 0.4277 data_time: 0.0385 memory: 4652 grad_norm: 2.9631 loss: 4.3095 loss_cls: 2.8902 loss_bbox: 1.4192 +2024/10/30 01:25:04 - mmengine - INFO - Epoch(train) [65][ 300/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:21:22 time: 0.4314 data_time: 0.0495 memory: 4652 grad_norm: 2.9945 loss: 4.2853 loss_cls: 2.8718 loss_bbox: 1.4135 +2024/10/30 01:25:27 - mmengine - INFO - Epoch(train) [65][ 350/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:21:01 time: 0.4525 data_time: 0.0727 memory: 4652 grad_norm: 3.0457 loss: 4.1780 loss_cls: 2.8025 loss_bbox: 1.3755 +2024/10/30 01:25:49 - mmengine - INFO - Epoch(train) [65][ 400/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:20:40 time: 0.4346 data_time: 0.0450 memory: 4652 grad_norm: 2.9582 loss: 4.3446 loss_cls: 2.8629 loss_bbox: 1.4817 +2024/10/30 01:26:10 - mmengine - INFO - Epoch(train) [65][ 450/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:20:18 time: 0.4192 data_time: 0.0461 memory: 4652 grad_norm: 2.9360 loss: 4.2485 loss_cls: 2.8266 loss_bbox: 1.4220 +2024/10/30 01:26:31 - mmengine - INFO - Epoch(train) [65][ 500/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:19:57 time: 0.4311 data_time: 0.0384 memory: 4652 grad_norm: 2.8885 loss: 4.4010 loss_cls: 2.9451 loss_bbox: 1.4560 +2024/10/30 01:26:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 01:26:52 - mmengine - INFO - Epoch(train) [65][ 550/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:19:35 time: 0.4162 data_time: 0.0400 memory: 4652 grad_norm: 2.6686 loss: 4.4139 loss_cls: 2.9159 loss_bbox: 1.4980 +2024/10/30 01:27:12 - mmengine - INFO - Epoch(train) [65][ 600/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:19:12 time: 0.4025 data_time: 0.0392 memory: 4652 grad_norm: 2.9854 loss: 4.3678 loss_cls: 2.9166 loss_bbox: 1.4512 +2024/10/30 01:27:35 - mmengine - INFO - Epoch(train) [65][ 650/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:18:51 time: 0.4481 data_time: 0.0599 memory: 4652 grad_norm: 3.0320 loss: 4.4618 loss_cls: 2.9802 loss_bbox: 1.4816 +2024/10/30 01:27:55 - mmengine - INFO - Epoch(train) [65][ 700/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:18:29 time: 0.4024 data_time: 0.0378 memory: 4652 grad_norm: 3.0579 loss: 4.3308 loss_cls: 2.9316 loss_bbox: 1.3992 +2024/10/30 01:28:16 - mmengine - INFO - Epoch(train) [65][ 750/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:18:07 time: 0.4334 data_time: 0.0392 memory: 4652 grad_norm: 2.8230 loss: 4.4690 loss_cls: 2.9717 loss_bbox: 1.4973 +2024/10/30 01:28:37 - mmengine - INFO - Epoch(train) [65][ 800/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:17:45 time: 0.4144 data_time: 0.0408 memory: 4652 grad_norm: 2.7845 loss: 4.3776 loss_cls: 2.8979 loss_bbox: 1.4796 +2024/10/30 01:28:58 - mmengine - INFO - Epoch(train) [65][ 850/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:17:23 time: 0.4059 data_time: 0.0453 memory: 4652 grad_norm: 2.9503 loss: 4.3309 loss_cls: 2.9085 loss_bbox: 1.4224 +2024/10/30 01:29:19 - mmengine - INFO - Epoch(train) [65][ 900/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:17:01 time: 0.4227 data_time: 0.0466 memory: 4652 grad_norm: 2.8002 loss: 4.3330 loss_cls: 2.8893 loss_bbox: 1.4437 +2024/10/30 01:29:39 - mmengine - INFO - Epoch(train) [65][ 950/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:16:39 time: 0.4150 data_time: 0.0422 memory: 4652 grad_norm: 2.6723 loss: 4.2382 loss_cls: 2.8577 loss_bbox: 1.3805 +2024/10/30 01:30:01 - mmengine - INFO - Epoch(train) [65][1000/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:16:17 time: 0.4278 data_time: 0.0454 memory: 4652 grad_norm: 3.1404 loss: 4.4245 loss_cls: 2.9273 loss_bbox: 1.4972 +2024/10/30 01:30:25 - mmengine - INFO - Epoch(train) [65][1050/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:15:59 time: 0.4905 data_time: 0.1187 memory: 4652 grad_norm: 2.9962 loss: 4.3990 loss_cls: 2.8995 loss_bbox: 1.4995 +2024/10/30 01:30:47 - mmengine - INFO - Epoch(train) [65][1100/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:15:37 time: 0.4227 data_time: 0.0373 memory: 4652 grad_norm: 3.0466 loss: 4.3071 loss_cls: 2.8598 loss_bbox: 1.4473 +2024/10/30 01:31:07 - mmengine - INFO - Epoch(train) [65][1150/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:15:15 time: 0.4099 data_time: 0.0408 memory: 4652 grad_norm: 2.8881 loss: 4.3149 loss_cls: 2.8894 loss_bbox: 1.4255 +2024/10/30 01:31:28 - mmengine - INFO - Epoch(train) [65][1200/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:14:52 time: 0.4105 data_time: 0.0433 memory: 4652 grad_norm: 3.0898 loss: 4.4650 loss_cls: 2.9872 loss_bbox: 1.4778 +2024/10/30 01:31:49 - mmengine - INFO - Epoch(train) [65][1250/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:14:31 time: 0.4311 data_time: 0.0446 memory: 4652 grad_norm: 2.9559 loss: 4.3510 loss_cls: 2.9045 loss_bbox: 1.4465 +2024/10/30 01:32:10 - mmengine - INFO - Epoch(train) [65][1300/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:14:09 time: 0.4096 data_time: 0.0391 memory: 4652 grad_norm: 3.0461 loss: 4.4465 loss_cls: 2.9992 loss_bbox: 1.4473 +2024/10/30 01:32:31 - mmengine - INFO - Epoch(train) [65][1350/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:13:47 time: 0.4194 data_time: 0.0481 memory: 4652 grad_norm: 2.9360 loss: 4.3553 loss_cls: 2.9182 loss_bbox: 1.4371 +2024/10/30 01:32:52 - mmengine - INFO - Epoch(train) [65][1400/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:13:25 time: 0.4176 data_time: 0.0421 memory: 4652 grad_norm: 2.7672 loss: 4.4064 loss_cls: 2.9420 loss_bbox: 1.4644 +2024/10/30 01:33:12 - mmengine - INFO - Epoch(train) [65][1450/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:13:03 time: 0.4146 data_time: 0.0385 memory: 4652 grad_norm: 3.1134 loss: 4.4172 loss_cls: 2.9479 loss_bbox: 1.4693 +2024/10/30 01:33:33 - mmengine - INFO - Epoch(train) [65][1500/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:12:40 time: 0.4138 data_time: 0.0384 memory: 4652 grad_norm: 2.9546 loss: 4.3433 loss_cls: 2.8914 loss_bbox: 1.4520 +2024/10/30 01:33:52 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 01:33:54 - mmengine - INFO - Epoch(train) [65][1550/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:12:19 time: 0.4256 data_time: 0.0489 memory: 4652 grad_norm: 2.9357 loss: 4.3415 loss_cls: 2.8826 loss_bbox: 1.4589 +2024/10/30 01:34:15 - mmengine - INFO - Epoch(train) [65][1600/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:11:57 time: 0.4200 data_time: 0.0402 memory: 4652 grad_norm: 2.6935 loss: 4.3100 loss_cls: 2.8790 loss_bbox: 1.4310 +2024/10/30 01:34:36 - mmengine - INFO - Epoch(train) [65][1650/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:11:35 time: 0.4219 data_time: 0.0412 memory: 4652 grad_norm: 2.9547 loss: 4.3307 loss_cls: 2.9178 loss_bbox: 1.4130 +2024/10/30 01:34:58 - mmengine - INFO - Epoch(train) [65][1700/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:11:13 time: 0.4205 data_time: 0.0397 memory: 4652 grad_norm: 2.9401 loss: 4.3845 loss_cls: 2.9012 loss_bbox: 1.4834 +2024/10/30 01:35:19 - mmengine - INFO - Epoch(train) [65][1750/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:10:51 time: 0.4213 data_time: 0.0447 memory: 4652 grad_norm: 3.0678 loss: 4.3862 loss_cls: 2.9221 loss_bbox: 1.4641 +2024/10/30 01:35:39 - mmengine - INFO - Epoch(train) [65][1800/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:10:29 time: 0.4167 data_time: 0.0421 memory: 4652 grad_norm: 2.6458 loss: 4.2530 loss_cls: 2.8665 loss_bbox: 1.3864 +2024/10/30 01:36:01 - mmengine - INFO - Epoch(train) [65][1850/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:10:08 time: 0.4273 data_time: 0.0466 memory: 4652 grad_norm: 2.8104 loss: 4.2721 loss_cls: 2.8567 loss_bbox: 1.4154 +2024/10/30 01:36:22 - mmengine - INFO - Epoch(train) [65][1900/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:09:46 time: 0.4238 data_time: 0.0417 memory: 4652 grad_norm: 2.9235 loss: 4.3539 loss_cls: 2.9324 loss_bbox: 1.4215 +2024/10/30 01:36:43 - mmengine - INFO - Epoch(train) [65][1950/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:09:24 time: 0.4209 data_time: 0.0425 memory: 4652 grad_norm: 2.9983 loss: 4.2897 loss_cls: 2.8812 loss_bbox: 1.4085 +2024/10/30 01:37:04 - mmengine - INFO - Epoch(train) [65][2000/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:09:03 time: 0.4248 data_time: 0.0407 memory: 4652 grad_norm: 2.8844 loss: 4.4004 loss_cls: 2.9394 loss_bbox: 1.4610 +2024/10/30 01:37:26 - mmengine - INFO - Epoch(train) [65][2050/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:08:41 time: 0.4322 data_time: 0.0609 memory: 4652 grad_norm: 3.2117 loss: 4.3421 loss_cls: 2.8935 loss_bbox: 1.4486 +2024/10/30 01:37:48 - mmengine - INFO - Epoch(train) [65][2100/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:08:21 time: 0.4428 data_time: 0.0571 memory: 4652 grad_norm: 3.0257 loss: 4.4090 loss_cls: 2.9475 loss_bbox: 1.4616 +2024/10/30 01:38:09 - mmengine - INFO - Epoch(train) [65][2150/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:07:59 time: 0.4216 data_time: 0.0460 memory: 4652 grad_norm: 2.7667 loss: 4.3336 loss_cls: 2.9122 loss_bbox: 1.4214 +2024/10/30 01:38:30 - mmengine - INFO - Epoch(train) [65][2200/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:07:37 time: 0.4223 data_time: 0.0475 memory: 4652 grad_norm: 3.0002 loss: 4.2568 loss_cls: 2.8514 loss_bbox: 1.4054 +2024/10/30 01:38:52 - mmengine - INFO - Epoch(train) [65][2250/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:07:16 time: 0.4289 data_time: 0.0416 memory: 4652 grad_norm: 2.8129 loss: 4.3930 loss_cls: 2.9473 loss_bbox: 1.4457 +2024/10/30 01:39:13 - mmengine - INFO - Epoch(train) [65][2300/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:06:54 time: 0.4182 data_time: 0.0494 memory: 4652 grad_norm: 2.8500 loss: 4.4369 loss_cls: 2.9606 loss_bbox: 1.4764 +2024/10/30 01:39:34 - mmengine - INFO - Epoch(train) [65][2350/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:06:32 time: 0.4243 data_time: 0.0475 memory: 4652 grad_norm: 2.9197 loss: 4.3159 loss_cls: 2.9036 loss_bbox: 1.4122 +2024/10/30 01:39:55 - mmengine - INFO - Epoch(train) [65][2400/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:06:10 time: 0.4159 data_time: 0.0439 memory: 4652 grad_norm: 2.7730 loss: 4.3710 loss_cls: 2.9308 loss_bbox: 1.4401 +2024/10/30 01:40:16 - mmengine - INFO - Epoch(train) [65][2450/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:05:48 time: 0.4292 data_time: 0.0453 memory: 4652 grad_norm: 2.9240 loss: 4.3037 loss_cls: 2.8931 loss_bbox: 1.4107 +2024/10/30 01:40:38 - mmengine - INFO - Epoch(train) [65][2500/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:05:27 time: 0.4247 data_time: 0.0408 memory: 4652 grad_norm: 2.9273 loss: 4.3487 loss_cls: 2.9062 loss_bbox: 1.4425 +2024/10/30 01:40:56 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 01:40:59 - mmengine - INFO - Epoch(train) [65][2550/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:05:05 time: 0.4194 data_time: 0.0463 memory: 4652 grad_norm: 2.8096 loss: 4.3382 loss_cls: 2.9049 loss_bbox: 1.4332 +2024/10/30 01:41:19 - mmengine - INFO - Epoch(train) [65][2600/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:04:43 time: 0.4168 data_time: 0.0413 memory: 4652 grad_norm: 2.8574 loss: 4.3250 loss_cls: 2.9033 loss_bbox: 1.4218 +2024/10/30 01:41:40 - mmengine - INFO - Epoch(train) [65][2650/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:04:21 time: 0.4137 data_time: 0.0415 memory: 4652 grad_norm: 3.0534 loss: 4.3712 loss_cls: 2.9100 loss_bbox: 1.4612 +2024/10/30 01:42:01 - mmengine - INFO - Epoch(train) [65][2700/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:03:59 time: 0.4253 data_time: 0.0428 memory: 4652 grad_norm: 3.0927 loss: 4.3554 loss_cls: 2.9087 loss_bbox: 1.4467 +2024/10/30 01:42:26 - mmengine - INFO - Epoch(train) [65][2750/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:03:41 time: 0.5007 data_time: 0.1114 memory: 4652 grad_norm: 2.7556 loss: 4.3366 loss_cls: 2.8702 loss_bbox: 1.4665 +2024/10/30 01:42:48 - mmengine - INFO - Epoch(train) [65][2800/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:03:19 time: 0.4252 data_time: 0.0457 memory: 4652 grad_norm: 3.1261 loss: 4.4703 loss_cls: 2.9736 loss_bbox: 1.4967 +2024/10/30 01:43:09 - mmengine - INFO - Epoch(train) [65][2850/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:02:57 time: 0.4214 data_time: 0.0395 memory: 4652 grad_norm: 2.8988 loss: 4.2854 loss_cls: 2.8884 loss_bbox: 1.3970 +2024/10/30 01:43:29 - mmengine - INFO - Epoch(train) [65][2900/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:02:35 time: 0.4118 data_time: 0.0400 memory: 4652 grad_norm: 2.8420 loss: 4.3061 loss_cls: 2.8920 loss_bbox: 1.4141 +2024/10/30 01:43:51 - mmengine - INFO - Epoch(train) [65][2950/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:02:13 time: 0.4240 data_time: 0.0422 memory: 4652 grad_norm: 2.8549 loss: 4.5481 loss_cls: 3.0017 loss_bbox: 1.5464 +2024/10/30 01:44:12 - mmengine - INFO - Epoch(train) [65][3000/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:01:52 time: 0.4222 data_time: 0.0405 memory: 4652 grad_norm: 2.9690 loss: 4.4088 loss_cls: 2.9309 loss_bbox: 1.4779 +2024/10/30 01:44:33 - mmengine - INFO - Epoch(train) [65][3050/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 20:01:30 time: 0.4187 data_time: 0.0485 memory: 4652 grad_norm: 2.9760 loss: 4.3658 loss_cls: 2.9242 loss_bbox: 1.4416 +2024/10/30 01:44:34 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 01:44:34 - mmengine - INFO - Saving checkpoint at 65 epochs +2024/10/30 01:44:44 - mmengine - INFO - Epoch(val) [65][50/79] eta: 0:00:02 time: 0.0735 data_time: 0.0076 memory: 4652 +2024/10/30 01:45:02 - mmengine - INFO - Evaluating bbox... +2024/10/30 01:46:17 - mmengine - INFO - bbox_mAP_copypaste: 0.207 0.363 0.210 0.048 0.248 0.334 +2024/10/30 01:46:18 - mmengine - INFO - Epoch(val) [65][79/79] coco/bbox_mAP: 0.2070 coco/bbox_mAP_50: 0.3630 coco/bbox_mAP_75: 0.2100 coco/bbox_mAP_s: 0.0480 coco/bbox_mAP_m: 0.2480 coco/bbox_mAP_l: 0.3340 data_time: 0.0070 time: 0.0720 +2024/10/30 01:46:41 - mmengine - INFO - Epoch(train) [66][ 50/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 20:01:07 time: 0.4378 data_time: 0.0644 memory: 4652 grad_norm: 2.9457 loss: 4.2036 loss_cls: 2.8340 loss_bbox: 1.3696 +2024/10/30 01:47:01 - mmengine - INFO - Epoch(train) [66][ 100/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 20:00:44 time: 0.4058 data_time: 0.0482 memory: 4652 grad_norm: 3.0025 loss: 4.2839 loss_cls: 2.8752 loss_bbox: 1.4086 +2024/10/30 01:47:26 - mmengine - INFO - Epoch(train) [66][ 150/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 20:00:26 time: 0.4935 data_time: 0.1202 memory: 4652 grad_norm: 2.9811 loss: 4.3089 loss_cls: 2.9018 loss_bbox: 1.4071 +2024/10/30 01:47:47 - mmengine - INFO - Epoch(train) [66][ 200/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 20:00:04 time: 0.4137 data_time: 0.0464 memory: 4652 grad_norm: 2.9903 loss: 4.3819 loss_cls: 2.8974 loss_bbox: 1.4846 +2024/10/30 01:48:08 - mmengine - INFO - Epoch(train) [66][ 250/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:59:42 time: 0.4221 data_time: 0.0453 memory: 4652 grad_norm: 2.8931 loss: 4.3862 loss_cls: 2.9368 loss_bbox: 1.4494 +2024/10/30 01:48:29 - mmengine - INFO - Epoch(train) [66][ 300/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:59:20 time: 0.4212 data_time: 0.0425 memory: 4652 grad_norm: 2.9463 loss: 4.3322 loss_cls: 2.8585 loss_bbox: 1.4736 +2024/10/30 01:48:50 - mmengine - INFO - Epoch(train) [66][ 350/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:58:58 time: 0.4211 data_time: 0.0427 memory: 4652 grad_norm: 2.8766 loss: 4.3048 loss_cls: 2.8767 loss_bbox: 1.4282 +2024/10/30 01:49:11 - mmengine - INFO - Epoch(train) [66][ 400/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:58:36 time: 0.4140 data_time: 0.0415 memory: 4652 grad_norm: 3.2016 loss: 4.3122 loss_cls: 2.8922 loss_bbox: 1.4200 +2024/10/30 01:49:31 - mmengine - INFO - Epoch(train) [66][ 450/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:58:14 time: 0.4039 data_time: 0.0411 memory: 4652 grad_norm: 2.8127 loss: 4.2801 loss_cls: 2.8736 loss_bbox: 1.4065 +2024/10/30 01:49:47 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 01:49:52 - mmengine - INFO - Epoch(train) [66][ 500/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:57:51 time: 0.4151 data_time: 0.0466 memory: 4652 grad_norm: 2.8185 loss: 4.3108 loss_cls: 2.8904 loss_bbox: 1.4204 +2024/10/30 01:50:13 - mmengine - INFO - Epoch(train) [66][ 550/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:57:30 time: 0.4191 data_time: 0.0434 memory: 4652 grad_norm: 2.9074 loss: 4.3907 loss_cls: 2.9537 loss_bbox: 1.4370 +2024/10/30 01:50:33 - mmengine - INFO - Epoch(train) [66][ 600/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:57:08 time: 0.4155 data_time: 0.0409 memory: 4652 grad_norm: 3.0472 loss: 4.2965 loss_cls: 2.8797 loss_bbox: 1.4167 +2024/10/30 01:50:56 - mmengine - INFO - Epoch(train) [66][ 650/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:56:47 time: 0.4466 data_time: 0.0493 memory: 4652 grad_norm: 2.8576 loss: 4.2705 loss_cls: 2.8574 loss_bbox: 1.4131 +2024/10/30 01:51:16 - mmengine - INFO - Epoch(train) [66][ 700/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:56:25 time: 0.4099 data_time: 0.0404 memory: 4652 grad_norm: 2.9030 loss: 4.3252 loss_cls: 2.8620 loss_bbox: 1.4632 +2024/10/30 01:51:38 - mmengine - INFO - Epoch(train) [66][ 750/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:56:03 time: 0.4384 data_time: 0.0415 memory: 4652 grad_norm: 2.7618 loss: 4.4014 loss_cls: 2.9341 loss_bbox: 1.4673 +2024/10/30 01:51:59 - mmengine - INFO - Epoch(train) [66][ 800/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:55:41 time: 0.4168 data_time: 0.0437 memory: 4652 grad_norm: 3.1480 loss: 4.3615 loss_cls: 2.8878 loss_bbox: 1.4737 +2024/10/30 01:52:20 - mmengine - INFO - Epoch(train) [66][ 850/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:55:20 time: 0.4201 data_time: 0.0446 memory: 4652 grad_norm: 3.2256 loss: 4.3681 loss_cls: 2.9329 loss_bbox: 1.4352 +2024/10/30 01:52:42 - mmengine - INFO - Epoch(train) [66][ 900/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:54:58 time: 0.4340 data_time: 0.0463 memory: 4652 grad_norm: 2.9081 loss: 4.2844 loss_cls: 2.8280 loss_bbox: 1.4563 +2024/10/30 01:53:03 - mmengine - INFO - Epoch(train) [66][ 950/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:54:37 time: 0.4206 data_time: 0.0506 memory: 4652 grad_norm: 2.9465 loss: 4.2712 loss_cls: 2.8514 loss_bbox: 1.4199 +2024/10/30 01:53:27 - mmengine - INFO - Epoch(train) [66][1000/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:54:17 time: 0.4791 data_time: 0.0951 memory: 4652 grad_norm: 2.7671 loss: 4.3824 loss_cls: 2.9217 loss_bbox: 1.4607 +2024/10/30 01:53:48 - mmengine - INFO - Epoch(train) [66][1050/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:53:56 time: 0.4232 data_time: 0.0414 memory: 4652 grad_norm: 2.8481 loss: 4.3096 loss_cls: 2.8888 loss_bbox: 1.4208 +2024/10/30 01:54:09 - mmengine - INFO - Epoch(train) [66][1100/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:53:34 time: 0.4203 data_time: 0.0408 memory: 4652 grad_norm: 3.0307 loss: 4.2966 loss_cls: 2.8826 loss_bbox: 1.4140 +2024/10/30 01:54:30 - mmengine - INFO - Epoch(train) [66][1150/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:53:12 time: 0.4259 data_time: 0.0396 memory: 4652 grad_norm: 2.9196 loss: 4.3728 loss_cls: 2.9224 loss_bbox: 1.4504 +2024/10/30 01:54:52 - mmengine - INFO - Epoch(train) [66][1200/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:52:50 time: 0.4242 data_time: 0.0422 memory: 4652 grad_norm: 2.6799 loss: 4.2106 loss_cls: 2.8099 loss_bbox: 1.4006 +2024/10/30 01:55:14 - mmengine - INFO - Epoch(train) [66][1250/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:52:30 time: 0.4463 data_time: 0.0452 memory: 4652 grad_norm: 2.9757 loss: 4.3085 loss_cls: 2.9002 loss_bbox: 1.4083 +2024/10/30 01:55:35 - mmengine - INFO - Epoch(train) [66][1300/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:52:08 time: 0.4210 data_time: 0.0399 memory: 4652 grad_norm: 3.1723 loss: 4.3279 loss_cls: 2.8680 loss_bbox: 1.4600 +2024/10/30 01:55:57 - mmengine - INFO - Epoch(train) [66][1350/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:51:47 time: 0.4345 data_time: 0.0427 memory: 4652 grad_norm: 3.0517 loss: 4.2938 loss_cls: 2.8717 loss_bbox: 1.4222 +2024/10/30 01:56:18 - mmengine - INFO - Epoch(train) [66][1400/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:51:25 time: 0.4257 data_time: 0.0391 memory: 4652 grad_norm: 2.7529 loss: 4.3526 loss_cls: 2.9131 loss_bbox: 1.4395 +2024/10/30 01:56:39 - mmengine - INFO - Epoch(train) [66][1450/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:51:03 time: 0.4131 data_time: 0.0392 memory: 4652 grad_norm: 2.8901 loss: 4.4542 loss_cls: 2.9651 loss_bbox: 1.4891 +2024/10/30 01:56:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 01:57:01 - mmengine - INFO - Epoch(train) [66][1500/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:50:42 time: 0.4382 data_time: 0.0488 memory: 4652 grad_norm: 3.0667 loss: 4.2172 loss_cls: 2.8451 loss_bbox: 1.3721 +2024/10/30 01:57:23 - mmengine - INFO - Epoch(train) [66][1550/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:50:21 time: 0.4396 data_time: 0.0495 memory: 4652 grad_norm: 3.0660 loss: 4.1772 loss_cls: 2.8111 loss_bbox: 1.3661 +2024/10/30 01:57:44 - mmengine - INFO - Epoch(train) [66][1600/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:50:00 time: 0.4357 data_time: 0.0409 memory: 4652 grad_norm: 2.8634 loss: 4.3600 loss_cls: 2.9004 loss_bbox: 1.4596 +2024/10/30 01:58:06 - mmengine - INFO - Epoch(train) [66][1650/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:49:38 time: 0.4297 data_time: 0.0420 memory: 4652 grad_norm: 2.8400 loss: 4.3513 loss_cls: 2.9152 loss_bbox: 1.4362 +2024/10/30 01:58:28 - mmengine - INFO - Epoch(train) [66][1700/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:49:17 time: 0.4344 data_time: 0.0458 memory: 4652 grad_norm: 3.1319 loss: 4.3443 loss_cls: 2.9084 loss_bbox: 1.4359 +2024/10/30 01:58:49 - mmengine - INFO - Epoch(train) [66][1750/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:48:56 time: 0.4319 data_time: 0.0480 memory: 4652 grad_norm: 3.0734 loss: 4.3677 loss_cls: 2.9274 loss_bbox: 1.4403 +2024/10/30 01:59:11 - mmengine - INFO - Epoch(train) [66][1800/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:48:35 time: 0.4403 data_time: 0.0410 memory: 4652 grad_norm: 3.0182 loss: 4.3543 loss_cls: 2.9143 loss_bbox: 1.4399 +2024/10/30 01:59:33 - mmengine - INFO - Epoch(train) [66][1850/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:48:13 time: 0.4341 data_time: 0.0467 memory: 4652 grad_norm: 2.9630 loss: 4.3894 loss_cls: 2.9275 loss_bbox: 1.4619 +2024/10/30 01:59:55 - mmengine - INFO - Epoch(train) [66][1900/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:47:52 time: 0.4302 data_time: 0.0394 memory: 4652 grad_norm: 2.9893 loss: 4.2979 loss_cls: 2.8938 loss_bbox: 1.4041 +2024/10/30 02:00:17 - mmengine - INFO - Epoch(train) [66][1950/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:47:31 time: 0.4455 data_time: 0.0466 memory: 4652 grad_norm: 3.1099 loss: 4.3455 loss_cls: 2.9013 loss_bbox: 1.4442 +2024/10/30 02:00:38 - mmengine - INFO - Epoch(train) [66][2000/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:47:10 time: 0.4319 data_time: 0.0373 memory: 4652 grad_norm: 3.0124 loss: 4.3111 loss_cls: 2.8642 loss_bbox: 1.4469 +2024/10/30 02:01:00 - mmengine - INFO - Epoch(train) [66][2050/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:46:48 time: 0.4276 data_time: 0.0406 memory: 4652 grad_norm: 2.9393 loss: 4.2602 loss_cls: 2.8363 loss_bbox: 1.4239 +2024/10/30 02:01:22 - mmengine - INFO - Epoch(train) [66][2100/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:46:27 time: 0.4402 data_time: 0.0463 memory: 4652 grad_norm: 2.9320 loss: 4.2392 loss_cls: 2.8343 loss_bbox: 1.4048 +2024/10/30 02:01:46 - mmengine - INFO - Epoch(train) [66][2150/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:46:09 time: 0.4904 data_time: 0.0985 memory: 4652 grad_norm: 2.7566 loss: 4.2283 loss_cls: 2.8220 loss_bbox: 1.4063 +2024/10/30 02:02:09 - mmengine - INFO - Epoch(train) [66][2200/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:45:48 time: 0.4427 data_time: 0.0413 memory: 4652 grad_norm: 2.8485 loss: 4.3601 loss_cls: 2.9276 loss_bbox: 1.4325 +2024/10/30 02:02:30 - mmengine - INFO - Epoch(train) [66][2250/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:45:26 time: 0.4211 data_time: 0.0404 memory: 4652 grad_norm: 2.9679 loss: 4.3982 loss_cls: 2.9316 loss_bbox: 1.4666 +2024/10/30 02:02:52 - mmengine - INFO - Epoch(train) [66][2300/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:45:05 time: 0.4366 data_time: 0.0385 memory: 4652 grad_norm: 2.9265 loss: 4.3622 loss_cls: 2.9052 loss_bbox: 1.4570 +2024/10/30 02:03:13 - mmengine - INFO - Epoch(train) [66][2350/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:44:43 time: 0.4243 data_time: 0.0412 memory: 4652 grad_norm: 2.9939 loss: 4.3473 loss_cls: 2.9170 loss_bbox: 1.4303 +2024/10/30 02:03:35 - mmengine - INFO - Epoch(train) [66][2400/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:44:22 time: 0.4379 data_time: 0.0451 memory: 4652 grad_norm: 3.0674 loss: 4.2714 loss_cls: 2.8372 loss_bbox: 1.4342 +2024/10/30 02:03:57 - mmengine - INFO - Epoch(train) [66][2450/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:44:01 time: 0.4464 data_time: 0.0442 memory: 4652 grad_norm: 2.8983 loss: 4.3053 loss_cls: 2.8881 loss_bbox: 1.4172 +2024/10/30 02:04:14 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 02:04:19 - mmengine - INFO - Epoch(train) [66][2500/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:43:40 time: 0.4314 data_time: 0.0479 memory: 4652 grad_norm: 2.9191 loss: 4.2912 loss_cls: 2.8645 loss_bbox: 1.4267 +2024/10/30 02:04:40 - mmengine - INFO - Epoch(train) [66][2550/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:43:18 time: 0.4306 data_time: 0.0476 memory: 4652 grad_norm: 2.9247 loss: 4.3278 loss_cls: 2.9133 loss_bbox: 1.4145 +2024/10/30 02:05:02 - mmengine - INFO - Epoch(train) [66][2600/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:42:57 time: 0.4278 data_time: 0.0467 memory: 4652 grad_norm: 2.9474 loss: 4.3099 loss_cls: 2.8763 loss_bbox: 1.4336 +2024/10/30 02:05:23 - mmengine - INFO - Epoch(train) [66][2650/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:42:35 time: 0.4220 data_time: 0.0398 memory: 4652 grad_norm: 3.0360 loss: 4.3767 loss_cls: 2.9027 loss_bbox: 1.4740 +2024/10/30 02:05:44 - mmengine - INFO - Epoch(train) [66][2700/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:42:14 time: 0.4327 data_time: 0.0396 memory: 4652 grad_norm: 3.1368 loss: 4.2699 loss_cls: 2.8469 loss_bbox: 1.4230 +2024/10/30 02:06:06 - mmengine - INFO - Epoch(train) [66][2750/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:41:53 time: 0.4324 data_time: 0.0463 memory: 4652 grad_norm: 3.1297 loss: 4.3424 loss_cls: 2.8917 loss_bbox: 1.4507 +2024/10/30 02:06:28 - mmengine - INFO - Epoch(train) [66][2800/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:41:32 time: 0.4446 data_time: 0.0387 memory: 4652 grad_norm: 2.9770 loss: 4.1966 loss_cls: 2.8041 loss_bbox: 1.3925 +2024/10/30 02:06:49 - mmengine - INFO - Epoch(train) [66][2850/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:41:10 time: 0.4204 data_time: 0.0388 memory: 4652 grad_norm: 3.0207 loss: 4.2733 loss_cls: 2.8615 loss_bbox: 1.4118 +2024/10/30 02:07:10 - mmengine - INFO - Epoch(train) [66][2900/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:40:48 time: 0.4226 data_time: 0.0383 memory: 4652 grad_norm: 2.8987 loss: 4.3064 loss_cls: 2.8883 loss_bbox: 1.4181 +2024/10/30 02:07:32 - mmengine - INFO - Epoch(train) [66][2950/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:40:26 time: 0.4222 data_time: 0.0380 memory: 4652 grad_norm: 2.9369 loss: 4.3498 loss_cls: 2.9056 loss_bbox: 1.4441 +2024/10/30 02:07:53 - mmengine - INFO - Epoch(train) [66][3000/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:40:05 time: 0.4220 data_time: 0.0416 memory: 4652 grad_norm: 3.0175 loss: 4.4010 loss_cls: 2.9333 loss_bbox: 1.4677 +2024/10/30 02:08:14 - mmengine - INFO - Epoch(train) [66][3050/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 19:39:43 time: 0.4267 data_time: 0.0482 memory: 4652 grad_norm: 2.9671 loss: 4.2625 loss_cls: 2.8244 loss_bbox: 1.4381 +2024/10/30 02:08:16 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 02:08:16 - mmengine - INFO - Saving checkpoint at 66 epochs +2024/10/30 02:08:41 - mmengine - INFO - Epoch(train) [67][ 50/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:39:19 time: 0.4181 data_time: 0.0597 memory: 4652 grad_norm: 2.9221 loss: 4.2830 loss_cls: 2.8468 loss_bbox: 1.4362 +2024/10/30 02:09:02 - mmengine - INFO - Epoch(train) [67][ 100/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:38:58 time: 0.4202 data_time: 0.0404 memory: 4652 grad_norm: 2.9404 loss: 4.2410 loss_cls: 2.8362 loss_bbox: 1.4048 +2024/10/30 02:09:25 - mmengine - INFO - Epoch(train) [67][ 150/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:38:37 time: 0.4621 data_time: 0.0915 memory: 4652 grad_norm: 2.9289 loss: 4.2096 loss_cls: 2.8055 loss_bbox: 1.4041 +2024/10/30 02:09:46 - mmengine - INFO - Epoch(train) [67][ 200/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:38:15 time: 0.4111 data_time: 0.0414 memory: 4652 grad_norm: 2.9948 loss: 4.4162 loss_cls: 2.9480 loss_bbox: 1.4682 +2024/10/30 02:10:07 - mmengine - INFO - Epoch(train) [67][ 250/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:37:53 time: 0.4228 data_time: 0.0415 memory: 4652 grad_norm: 2.9020 loss: 4.2688 loss_cls: 2.8389 loss_bbox: 1.4299 +2024/10/30 02:10:27 - mmengine - INFO - Epoch(train) [67][ 300/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:37:31 time: 0.4028 data_time: 0.0416 memory: 4652 grad_norm: 3.1068 loss: 4.3488 loss_cls: 2.9023 loss_bbox: 1.4466 +2024/10/30 02:10:49 - mmengine - INFO - Epoch(train) [67][ 350/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:37:09 time: 0.4293 data_time: 0.0474 memory: 4652 grad_norm: 2.8565 loss: 4.2721 loss_cls: 2.8435 loss_bbox: 1.4286 +2024/10/30 02:11:10 - mmengine - INFO - Epoch(train) [67][ 400/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:36:47 time: 0.4162 data_time: 0.0463 memory: 4652 grad_norm: 3.0175 loss: 4.3149 loss_cls: 2.8865 loss_bbox: 1.4284 +2024/10/30 02:11:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 02:11:30 - mmengine - INFO - Epoch(train) [67][ 450/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:36:25 time: 0.4114 data_time: 0.0423 memory: 4652 grad_norm: 2.6815 loss: 4.3715 loss_cls: 2.9426 loss_bbox: 1.4289 +2024/10/30 02:11:51 - mmengine - INFO - Epoch(train) [67][ 500/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:36:03 time: 0.4179 data_time: 0.0464 memory: 4652 grad_norm: 3.0745 loss: 4.2075 loss_cls: 2.8180 loss_bbox: 1.3895 +2024/10/30 02:12:12 - mmengine - INFO - Epoch(train) [67][ 550/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:35:41 time: 0.4178 data_time: 0.0580 memory: 4652 grad_norm: 2.7291 loss: 4.2280 loss_cls: 2.8255 loss_bbox: 1.4025 +2024/10/30 02:12:33 - mmengine - INFO - Epoch(train) [67][ 600/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:35:20 time: 0.4304 data_time: 0.0450 memory: 4652 grad_norm: 2.9946 loss: 4.3174 loss_cls: 2.8795 loss_bbox: 1.4379 +2024/10/30 02:12:54 - mmengine - INFO - Epoch(train) [67][ 650/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:34:58 time: 0.4187 data_time: 0.0483 memory: 4652 grad_norm: 3.0340 loss: 4.2938 loss_cls: 2.8667 loss_bbox: 1.4272 +2024/10/30 02:13:16 - mmengine - INFO - Epoch(train) [67][ 700/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:34:36 time: 0.4215 data_time: 0.0428 memory: 4652 grad_norm: 2.8863 loss: 4.3570 loss_cls: 2.9355 loss_bbox: 1.4215 +2024/10/30 02:13:36 - mmengine - INFO - Epoch(train) [67][ 750/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:34:14 time: 0.4161 data_time: 0.0479 memory: 4652 grad_norm: 2.9828 loss: 4.4056 loss_cls: 2.9242 loss_bbox: 1.4815 +2024/10/30 02:13:57 - mmengine - INFO - Epoch(train) [67][ 800/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:33:52 time: 0.4170 data_time: 0.0478 memory: 4652 grad_norm: 3.1851 loss: 4.3706 loss_cls: 2.9308 loss_bbox: 1.4398 +2024/10/30 02:14:19 - mmengine - INFO - Epoch(train) [67][ 850/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:33:31 time: 0.4417 data_time: 0.0523 memory: 4652 grad_norm: 2.8739 loss: 4.2659 loss_cls: 2.8347 loss_bbox: 1.4312 +2024/10/30 02:14:41 - mmengine - INFO - Epoch(train) [67][ 900/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:33:10 time: 0.4278 data_time: 0.0536 memory: 4652 grad_norm: 2.6155 loss: 4.2817 loss_cls: 2.8827 loss_bbox: 1.3990 +2024/10/30 02:15:03 - mmengine - INFO - Epoch(train) [67][ 950/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:32:49 time: 0.4407 data_time: 0.0513 memory: 4652 grad_norm: 2.9131 loss: 4.4115 loss_cls: 2.9386 loss_bbox: 1.4729 +2024/10/30 02:15:26 - mmengine - INFO - Epoch(train) [67][1000/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:32:29 time: 0.4560 data_time: 0.0820 memory: 4652 grad_norm: 3.0515 loss: 4.3552 loss_cls: 2.9129 loss_bbox: 1.4424 +2024/10/30 02:15:47 - mmengine - INFO - Epoch(train) [67][1050/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:32:07 time: 0.4213 data_time: 0.0432 memory: 4652 grad_norm: 3.0649 loss: 4.3369 loss_cls: 2.8902 loss_bbox: 1.4467 +2024/10/30 02:16:08 - mmengine - INFO - Epoch(train) [67][1100/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:31:45 time: 0.4217 data_time: 0.0506 memory: 4652 grad_norm: 2.8223 loss: 4.2790 loss_cls: 2.8718 loss_bbox: 1.4072 +2024/10/30 02:16:28 - mmengine - INFO - Epoch(train) [67][1150/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:31:23 time: 0.4076 data_time: 0.0402 memory: 4652 grad_norm: 2.8464 loss: 4.2847 loss_cls: 2.8715 loss_bbox: 1.4133 +2024/10/30 02:16:50 - mmengine - INFO - Epoch(train) [67][1200/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:31:01 time: 0.4288 data_time: 0.0513 memory: 4652 grad_norm: 2.9259 loss: 4.3519 loss_cls: 2.9144 loss_bbox: 1.4375 +2024/10/30 02:17:11 - mmengine - INFO - Epoch(train) [67][1250/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:30:40 time: 0.4304 data_time: 0.0507 memory: 4652 grad_norm: 3.0338 loss: 4.3197 loss_cls: 2.8608 loss_bbox: 1.4589 +2024/10/30 02:17:32 - mmengine - INFO - Epoch(train) [67][1300/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:30:18 time: 0.4160 data_time: 0.0397 memory: 4652 grad_norm: 2.9664 loss: 4.4011 loss_cls: 2.9187 loss_bbox: 1.4824 +2024/10/30 02:17:54 - mmengine - INFO - Epoch(train) [67][1350/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:29:56 time: 0.4300 data_time: 0.0428 memory: 4652 grad_norm: 2.8788 loss: 4.2681 loss_cls: 2.8584 loss_bbox: 1.4096 +2024/10/30 02:18:14 - mmengine - INFO - Epoch(train) [67][1400/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:29:34 time: 0.4096 data_time: 0.0404 memory: 4652 grad_norm: 2.9733 loss: 4.2997 loss_cls: 2.8661 loss_bbox: 1.4336 +2024/10/30 02:18:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 02:18:35 - mmengine - INFO - Epoch(train) [67][1450/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:29:12 time: 0.4148 data_time: 0.0483 memory: 4652 grad_norm: 3.1378 loss: 4.3908 loss_cls: 2.9363 loss_bbox: 1.4545 +2024/10/30 02:18:55 - mmengine - INFO - Epoch(train) [67][1500/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:28:50 time: 0.4088 data_time: 0.0414 memory: 4652 grad_norm: 2.8745 loss: 4.3528 loss_cls: 2.9136 loss_bbox: 1.4392 +2024/10/30 02:19:16 - mmengine - INFO - Epoch(train) [67][1550/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:28:28 time: 0.4223 data_time: 0.0460 memory: 4652 grad_norm: 3.2551 loss: 4.4743 loss_cls: 2.9476 loss_bbox: 1.5267 +2024/10/30 02:19:37 - mmengine - INFO - Epoch(train) [67][1600/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:28:06 time: 0.4175 data_time: 0.0442 memory: 4652 grad_norm: 2.9749 loss: 4.3824 loss_cls: 2.8882 loss_bbox: 1.4942 +2024/10/30 02:19:58 - mmengine - INFO - Epoch(train) [67][1650/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:27:44 time: 0.4138 data_time: 0.0479 memory: 4652 grad_norm: 3.1232 loss: 4.2939 loss_cls: 2.8719 loss_bbox: 1.4220 +2024/10/30 02:20:18 - mmengine - INFO - Epoch(train) [67][1700/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:27:22 time: 0.4066 data_time: 0.0461 memory: 4652 grad_norm: 3.1225 loss: 4.3802 loss_cls: 2.8888 loss_bbox: 1.4914 +2024/10/30 02:20:39 - mmengine - INFO - Epoch(train) [67][1750/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:26:59 time: 0.4038 data_time: 0.0409 memory: 4652 grad_norm: 2.9301 loss: 4.4163 loss_cls: 2.9457 loss_bbox: 1.4705 +2024/10/30 02:20:59 - mmengine - INFO - Epoch(train) [67][1800/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:26:37 time: 0.4137 data_time: 0.0412 memory: 4652 grad_norm: 2.8133 loss: 4.3549 loss_cls: 2.9359 loss_bbox: 1.4191 +2024/10/30 02:21:21 - mmengine - INFO - Epoch(train) [67][1850/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:26:15 time: 0.4280 data_time: 0.0470 memory: 4652 grad_norm: 2.8676 loss: 4.3506 loss_cls: 2.9013 loss_bbox: 1.4493 +2024/10/30 02:21:41 - mmengine - INFO - Epoch(train) [67][1900/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:25:53 time: 0.4042 data_time: 0.0421 memory: 4652 grad_norm: 2.7936 loss: 4.3011 loss_cls: 2.8714 loss_bbox: 1.4297 +2024/10/30 02:22:02 - mmengine - INFO - Epoch(train) [67][1950/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:25:31 time: 0.4168 data_time: 0.0534 memory: 4652 grad_norm: 2.7942 loss: 4.3058 loss_cls: 2.8855 loss_bbox: 1.4203 +2024/10/30 02:22:25 - mmengine - INFO - Epoch(train) [67][2000/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:25:11 time: 0.4680 data_time: 0.1101 memory: 4652 grad_norm: 3.0375 loss: 4.3371 loss_cls: 2.9176 loss_bbox: 1.4195 +2024/10/30 02:22:46 - mmengine - INFO - Epoch(train) [67][2050/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:24:49 time: 0.4127 data_time: 0.0410 memory: 4652 grad_norm: 3.1017 loss: 4.3984 loss_cls: 2.9411 loss_bbox: 1.4573 +2024/10/30 02:23:07 - mmengine - INFO - Epoch(train) [67][2100/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:24:27 time: 0.4182 data_time: 0.0401 memory: 4652 grad_norm: 3.1792 loss: 4.2200 loss_cls: 2.8155 loss_bbox: 1.4045 +2024/10/30 02:23:27 - mmengine - INFO - Epoch(train) [67][2150/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:24:05 time: 0.4149 data_time: 0.0454 memory: 4652 grad_norm: 2.8890 loss: 4.3382 loss_cls: 2.9014 loss_bbox: 1.4367 +2024/10/30 02:23:48 - mmengine - INFO - Epoch(train) [67][2200/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:23:43 time: 0.4183 data_time: 0.0406 memory: 4652 grad_norm: 2.8370 loss: 4.3183 loss_cls: 2.8932 loss_bbox: 1.4251 +2024/10/30 02:24:09 - mmengine - INFO - Epoch(train) [67][2250/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:23:21 time: 0.4115 data_time: 0.0418 memory: 4652 grad_norm: 2.8655 loss: 4.2702 loss_cls: 2.8783 loss_bbox: 1.3919 +2024/10/30 02:24:30 - mmengine - INFO - Epoch(train) [67][2300/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:22:59 time: 0.4212 data_time: 0.0390 memory: 4652 grad_norm: 2.8802 loss: 4.3848 loss_cls: 2.9205 loss_bbox: 1.4643 +2024/10/30 02:24:51 - mmengine - INFO - Epoch(train) [67][2350/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:22:37 time: 0.4126 data_time: 0.0383 memory: 4652 grad_norm: 3.1218 loss: 4.3515 loss_cls: 2.9105 loss_bbox: 1.4410 +2024/10/30 02:25:12 - mmengine - INFO - Epoch(train) [67][2400/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:22:15 time: 0.4249 data_time: 0.0450 memory: 4652 grad_norm: 2.9964 loss: 4.2631 loss_cls: 2.8863 loss_bbox: 1.3769 +2024/10/30 02:25:27 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 02:25:34 - mmengine - INFO - Epoch(train) [67][2450/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:21:54 time: 0.4381 data_time: 0.0515 memory: 4652 grad_norm: 2.8251 loss: 4.2964 loss_cls: 2.8750 loss_bbox: 1.4214 +2024/10/30 02:25:54 - mmengine - INFO - Epoch(train) [67][2500/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:21:32 time: 0.4081 data_time: 0.0425 memory: 4652 grad_norm: 3.0738 loss: 4.3235 loss_cls: 2.8930 loss_bbox: 1.4305 +2024/10/30 02:26:15 - mmengine - INFO - Epoch(train) [67][2550/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:21:10 time: 0.4130 data_time: 0.0508 memory: 4652 grad_norm: 2.8018 loss: 4.3445 loss_cls: 2.8967 loss_bbox: 1.4477 +2024/10/30 02:26:36 - mmengine - INFO - Epoch(train) [67][2600/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:20:48 time: 0.4126 data_time: 0.0470 memory: 4652 grad_norm: 2.9232 loss: 4.3545 loss_cls: 2.9136 loss_bbox: 1.4409 +2024/10/30 02:26:57 - mmengine - INFO - Epoch(train) [67][2650/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:20:26 time: 0.4214 data_time: 0.0434 memory: 4652 grad_norm: 2.7668 loss: 4.2779 loss_cls: 2.8811 loss_bbox: 1.3968 +2024/10/30 02:27:18 - mmengine - INFO - Epoch(train) [67][2700/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:20:04 time: 0.4146 data_time: 0.0424 memory: 4652 grad_norm: 3.0249 loss: 4.2943 loss_cls: 2.8688 loss_bbox: 1.4255 +2024/10/30 02:27:38 - mmengine - INFO - Epoch(train) [67][2750/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:19:42 time: 0.4108 data_time: 0.0472 memory: 4652 grad_norm: 2.9835 loss: 4.2032 loss_cls: 2.7936 loss_bbox: 1.4096 +2024/10/30 02:27:59 - mmengine - INFO - Epoch(train) [67][2800/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:19:20 time: 0.4134 data_time: 0.0411 memory: 4652 grad_norm: 2.9107 loss: 4.3224 loss_cls: 2.8652 loss_bbox: 1.4572 +2024/10/30 02:28:19 - mmengine - INFO - Epoch(train) [67][2850/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:18:57 time: 0.4030 data_time: 0.0437 memory: 4652 grad_norm: 3.2200 loss: 4.3341 loss_cls: 2.9071 loss_bbox: 1.4269 +2024/10/30 02:28:40 - mmengine - INFO - Epoch(train) [67][2900/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:18:35 time: 0.4191 data_time: 0.0473 memory: 4652 grad_norm: 2.8912 loss: 4.3265 loss_cls: 2.8943 loss_bbox: 1.4322 +2024/10/30 02:29:00 - mmengine - INFO - Epoch(train) [67][2950/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:18:13 time: 0.4076 data_time: 0.0434 memory: 4652 grad_norm: 3.1298 loss: 4.3355 loss_cls: 2.8811 loss_bbox: 1.4544 +2024/10/30 02:29:21 - mmengine - INFO - Epoch(train) [67][3000/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:17:51 time: 0.4157 data_time: 0.0419 memory: 4652 grad_norm: 2.7488 loss: 4.2919 loss_cls: 2.8513 loss_bbox: 1.4406 +2024/10/30 02:29:41 - mmengine - INFO - Epoch(train) [67][3050/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 19:17:29 time: 0.4060 data_time: 0.0420 memory: 4652 grad_norm: 2.9727 loss: 4.3269 loss_cls: 2.8990 loss_bbox: 1.4279 +2024/10/30 02:29:43 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 02:29:43 - mmengine - INFO - Saving checkpoint at 67 epochs +2024/10/30 02:30:09 - mmengine - INFO - Epoch(train) [68][ 50/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:17:06 time: 0.4403 data_time: 0.0563 memory: 4652 grad_norm: 2.7643 loss: 4.2592 loss_cls: 2.8327 loss_bbox: 1.4265 +2024/10/30 02:30:30 - mmengine - INFO - Epoch(train) [68][ 100/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:16:44 time: 0.4175 data_time: 0.0424 memory: 4652 grad_norm: 3.1624 loss: 4.3451 loss_cls: 2.9014 loss_bbox: 1.4437 +2024/10/30 02:30:51 - mmengine - INFO - Epoch(train) [68][ 150/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:16:22 time: 0.4228 data_time: 0.0455 memory: 4652 grad_norm: 3.0862 loss: 4.2577 loss_cls: 2.8325 loss_bbox: 1.4251 +2024/10/30 02:31:13 - mmengine - INFO - Epoch(train) [68][ 200/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:16:00 time: 0.4232 data_time: 0.0407 memory: 4652 grad_norm: 2.9485 loss: 4.3032 loss_cls: 2.8362 loss_bbox: 1.4669 +2024/10/30 02:31:34 - mmengine - INFO - Epoch(train) [68][ 250/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:15:39 time: 0.4296 data_time: 0.0488 memory: 4652 grad_norm: 2.8814 loss: 4.3672 loss_cls: 2.9082 loss_bbox: 1.4590 +2024/10/30 02:31:56 - mmengine - INFO - Epoch(train) [68][ 300/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:15:17 time: 0.4273 data_time: 0.0449 memory: 4652 grad_norm: 2.9437 loss: 4.3590 loss_cls: 2.8871 loss_bbox: 1.4719 +2024/10/30 02:32:17 - mmengine - INFO - Epoch(train) [68][ 350/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:14:56 time: 0.4328 data_time: 0.0450 memory: 4652 grad_norm: 2.7624 loss: 4.4181 loss_cls: 2.9322 loss_bbox: 1.4859 +2024/10/30 02:32:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 02:32:39 - mmengine - INFO - Epoch(train) [68][ 400/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:14:35 time: 0.4418 data_time: 0.0416 memory: 4652 grad_norm: 3.1440 loss: 4.3874 loss_cls: 2.9606 loss_bbox: 1.4269 +2024/10/30 02:33:01 - mmengine - INFO - Epoch(train) [68][ 450/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:14:14 time: 0.4310 data_time: 0.0388 memory: 4652 grad_norm: 2.8552 loss: 4.2985 loss_cls: 2.8700 loss_bbox: 1.4285 +2024/10/30 02:33:22 - mmengine - INFO - Epoch(train) [68][ 500/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:13:52 time: 0.4250 data_time: 0.0446 memory: 4652 grad_norm: 2.9695 loss: 4.2976 loss_cls: 2.8621 loss_bbox: 1.4355 +2024/10/30 02:33:43 - mmengine - INFO - Epoch(train) [68][ 550/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:13:31 time: 0.4253 data_time: 0.0384 memory: 4652 grad_norm: 2.8072 loss: 4.3733 loss_cls: 2.9247 loss_bbox: 1.4485 +2024/10/30 02:34:04 - mmengine - INFO - Epoch(train) [68][ 600/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:13:09 time: 0.4206 data_time: 0.0450 memory: 4652 grad_norm: 2.9370 loss: 4.3894 loss_cls: 2.9406 loss_bbox: 1.4488 +2024/10/30 02:34:26 - mmengine - INFO - Epoch(train) [68][ 650/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:12:48 time: 0.4392 data_time: 0.0550 memory: 4652 grad_norm: 3.1346 loss: 4.3364 loss_cls: 2.8994 loss_bbox: 1.4369 +2024/10/30 02:34:48 - mmengine - INFO - Epoch(train) [68][ 700/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:12:26 time: 0.4227 data_time: 0.0417 memory: 4652 grad_norm: 2.8362 loss: 4.2805 loss_cls: 2.8550 loss_bbox: 1.4255 +2024/10/30 02:35:11 - mmengine - INFO - Epoch(train) [68][ 750/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:12:06 time: 0.4651 data_time: 0.0709 memory: 4652 grad_norm: 2.9828 loss: 4.3178 loss_cls: 2.8343 loss_bbox: 1.4835 +2024/10/30 02:35:32 - mmengine - INFO - Epoch(train) [68][ 800/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:11:44 time: 0.4215 data_time: 0.0380 memory: 4652 grad_norm: 2.8408 loss: 4.3995 loss_cls: 2.9572 loss_bbox: 1.4422 +2024/10/30 02:35:53 - mmengine - INFO - Epoch(train) [68][ 850/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:11:23 time: 0.4284 data_time: 0.0499 memory: 4652 grad_norm: 3.1768 loss: 4.2598 loss_cls: 2.8585 loss_bbox: 1.4013 +2024/10/30 02:36:15 - mmengine - INFO - Epoch(train) [68][ 900/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:11:01 time: 0.4287 data_time: 0.0377 memory: 4652 grad_norm: 3.0033 loss: 4.3359 loss_cls: 2.8577 loss_bbox: 1.4782 +2024/10/30 02:36:36 - mmengine - INFO - Epoch(train) [68][ 950/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:10:40 time: 0.4213 data_time: 0.0409 memory: 4652 grad_norm: 2.9007 loss: 4.2932 loss_cls: 2.8793 loss_bbox: 1.4139 +2024/10/30 02:36:57 - mmengine - INFO - Epoch(train) [68][1000/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:10:18 time: 0.4317 data_time: 0.0415 memory: 4652 grad_norm: 3.0208 loss: 4.3424 loss_cls: 2.8879 loss_bbox: 1.4545 +2024/10/30 02:37:19 - mmengine - INFO - Epoch(train) [68][1050/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:09:57 time: 0.4296 data_time: 0.0385 memory: 4652 grad_norm: 3.0385 loss: 4.3779 loss_cls: 2.9176 loss_bbox: 1.4604 +2024/10/30 02:37:40 - mmengine - INFO - Epoch(train) [68][1100/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:09:35 time: 0.4243 data_time: 0.0441 memory: 4652 grad_norm: 2.8490 loss: 4.3480 loss_cls: 2.8975 loss_bbox: 1.4504 +2024/10/30 02:38:02 - mmengine - INFO - Epoch(train) [68][1150/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:09:14 time: 0.4334 data_time: 0.0376 memory: 4652 grad_norm: 2.9604 loss: 4.2623 loss_cls: 2.8827 loss_bbox: 1.3796 +2024/10/30 02:38:26 - mmengine - INFO - Epoch(train) [68][1200/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:08:55 time: 0.4903 data_time: 0.1084 memory: 4652 grad_norm: 2.9147 loss: 4.3191 loss_cls: 2.8806 loss_bbox: 1.4385 +2024/10/30 02:38:49 - mmengine - INFO - Epoch(train) [68][1250/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:08:34 time: 0.4433 data_time: 0.0378 memory: 4652 grad_norm: 3.0088 loss: 4.2170 loss_cls: 2.7909 loss_bbox: 1.4261 +2024/10/30 02:39:09 - mmengine - INFO - Epoch(train) [68][1300/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:08:12 time: 0.4127 data_time: 0.0401 memory: 4652 grad_norm: 2.8611 loss: 4.3243 loss_cls: 2.9198 loss_bbox: 1.4045 +2024/10/30 02:39:31 - mmengine - INFO - Epoch(train) [68][1350/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:07:51 time: 0.4328 data_time: 0.0442 memory: 4652 grad_norm: 2.9656 loss: 4.4230 loss_cls: 2.9644 loss_bbox: 1.4586 +2024/10/30 02:39:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 02:39:52 - mmengine - INFO - Epoch(train) [68][1400/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:07:29 time: 0.4213 data_time: 0.0375 memory: 4652 grad_norm: 2.9046 loss: 4.3686 loss_cls: 2.9124 loss_bbox: 1.4562 +2024/10/30 02:40:13 - mmengine - INFO - Epoch(train) [68][1450/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:07:07 time: 0.4179 data_time: 0.0379 memory: 4652 grad_norm: 2.7757 loss: 4.2735 loss_cls: 2.8354 loss_bbox: 1.4381 +2024/10/30 02:40:35 - mmengine - INFO - Epoch(train) [68][1500/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:06:46 time: 0.4418 data_time: 0.0446 memory: 4652 grad_norm: 2.9891 loss: 4.3046 loss_cls: 2.8610 loss_bbox: 1.4436 +2024/10/30 02:40:57 - mmengine - INFO - Epoch(train) [68][1550/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:06:25 time: 0.4317 data_time: 0.0520 memory: 4652 grad_norm: 3.1632 loss: 4.3039 loss_cls: 2.8930 loss_bbox: 1.4109 +2024/10/30 02:41:19 - mmengine - INFO - Epoch(train) [68][1600/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:06:04 time: 0.4393 data_time: 0.0410 memory: 4652 grad_norm: 3.0600 loss: 4.3961 loss_cls: 2.9237 loss_bbox: 1.4724 +2024/10/30 02:41:41 - mmengine - INFO - Epoch(train) [68][1650/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:05:43 time: 0.4406 data_time: 0.0388 memory: 4652 grad_norm: 3.0056 loss: 4.2898 loss_cls: 2.8759 loss_bbox: 1.4139 +2024/10/30 02:42:02 - mmengine - INFO - Epoch(train) [68][1700/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:05:21 time: 0.4322 data_time: 0.0473 memory: 4652 grad_norm: 2.9640 loss: 4.2079 loss_cls: 2.8131 loss_bbox: 1.3948 +2024/10/30 02:42:28 - mmengine - INFO - Epoch(train) [68][1750/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:05:03 time: 0.5083 data_time: 0.0930 memory: 4652 grad_norm: 2.8792 loss: 4.2397 loss_cls: 2.8667 loss_bbox: 1.3729 +2024/10/30 02:42:49 - mmengine - INFO - Epoch(train) [68][1800/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:04:42 time: 0.4291 data_time: 0.0429 memory: 4652 grad_norm: 2.7412 loss: 4.3318 loss_cls: 2.8592 loss_bbox: 1.4725 +2024/10/30 02:43:12 - mmengine - INFO - Epoch(train) [68][1850/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:04:21 time: 0.4473 data_time: 0.0437 memory: 4652 grad_norm: 3.3134 loss: 4.3616 loss_cls: 2.8933 loss_bbox: 1.4683 +2024/10/30 02:43:33 - mmengine - INFO - Epoch(train) [68][1900/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:04:00 time: 0.4372 data_time: 0.0400 memory: 4652 grad_norm: 2.9216 loss: 4.2280 loss_cls: 2.8628 loss_bbox: 1.3652 +2024/10/30 02:43:55 - mmengine - INFO - Epoch(train) [68][1950/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:03:38 time: 0.4257 data_time: 0.0391 memory: 4652 grad_norm: 2.9774 loss: 4.2858 loss_cls: 2.8523 loss_bbox: 1.4335 +2024/10/30 02:44:18 - mmengine - INFO - Epoch(train) [68][2000/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:03:18 time: 0.4652 data_time: 0.0553 memory: 4652 grad_norm: 3.0818 loss: 4.3371 loss_cls: 2.8913 loss_bbox: 1.4458 +2024/10/30 02:44:40 - mmengine - INFO - Epoch(train) [68][2050/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:02:57 time: 0.4487 data_time: 0.0552 memory: 4652 grad_norm: 3.0738 loss: 4.2611 loss_cls: 2.8355 loss_bbox: 1.4256 +2024/10/30 02:45:02 - mmengine - INFO - Epoch(train) [68][2100/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:02:36 time: 0.4391 data_time: 0.0446 memory: 4652 grad_norm: 2.9107 loss: 4.3137 loss_cls: 2.8460 loss_bbox: 1.4677 +2024/10/30 02:45:29 - mmengine - INFO - Epoch(train) [68][2150/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:02:19 time: 0.5315 data_time: 0.1335 memory: 4652 grad_norm: 2.9842 loss: 4.3434 loss_cls: 2.9061 loss_bbox: 1.4373 +2024/10/30 02:45:51 - mmengine - INFO - Epoch(train) [68][2200/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:01:58 time: 0.4336 data_time: 0.0417 memory: 4652 grad_norm: 2.9207 loss: 4.2933 loss_cls: 2.8762 loss_bbox: 1.4171 +2024/10/30 02:46:13 - mmengine - INFO - Epoch(train) [68][2250/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:01:37 time: 0.4453 data_time: 0.0418 memory: 4652 grad_norm: 2.9755 loss: 4.2802 loss_cls: 2.8740 loss_bbox: 1.4063 +2024/10/30 02:46:35 - mmengine - INFO - Epoch(train) [68][2300/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:01:16 time: 0.4315 data_time: 0.0367 memory: 4652 grad_norm: 2.9954 loss: 4.3271 loss_cls: 2.9038 loss_bbox: 1.4232 +2024/10/30 02:46:57 - mmengine - INFO - Epoch(train) [68][2350/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:00:55 time: 0.4418 data_time: 0.0447 memory: 4652 grad_norm: 3.1586 loss: 4.3134 loss_cls: 2.8607 loss_bbox: 1.4527 +2024/10/30 02:47:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 02:47:18 - mmengine - INFO - Epoch(train) [68][2400/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:00:33 time: 0.4307 data_time: 0.0386 memory: 4652 grad_norm: 2.9618 loss: 4.3577 loss_cls: 2.9003 loss_bbox: 1.4574 +2024/10/30 02:47:40 - mmengine - INFO - Epoch(train) [68][2450/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 19:00:12 time: 0.4375 data_time: 0.0379 memory: 4652 grad_norm: 3.0490 loss: 4.3312 loss_cls: 2.8901 loss_bbox: 1.4411 +2024/10/30 02:48:02 - mmengine - INFO - Epoch(train) [68][2500/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 18:59:51 time: 0.4465 data_time: 0.0462 memory: 4652 grad_norm: 3.0145 loss: 4.4064 loss_cls: 2.9341 loss_bbox: 1.4723 +2024/10/30 02:48:28 - mmengine - INFO - Epoch(train) [68][2550/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 18:59:33 time: 0.5117 data_time: 0.1193 memory: 4652 grad_norm: 3.0724 loss: 4.2867 loss_cls: 2.8702 loss_bbox: 1.4165 +2024/10/30 02:48:50 - mmengine - INFO - Epoch(train) [68][2600/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 18:59:12 time: 0.4379 data_time: 0.0377 memory: 4652 grad_norm: 3.1142 loss: 4.4190 loss_cls: 2.9551 loss_bbox: 1.4639 +2024/10/30 02:49:11 - mmengine - INFO - Epoch(train) [68][2650/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 18:58:51 time: 0.4295 data_time: 0.0433 memory: 4652 grad_norm: 2.7800 loss: 4.2333 loss_cls: 2.8326 loss_bbox: 1.4007 +2024/10/30 02:49:33 - mmengine - INFO - Epoch(train) [68][2700/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 18:58:29 time: 0.4360 data_time: 0.0391 memory: 4652 grad_norm: 2.8860 loss: 4.3149 loss_cls: 2.8671 loss_bbox: 1.4478 +2024/10/30 02:49:55 - mmengine - INFO - Epoch(train) [68][2750/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 18:58:08 time: 0.4388 data_time: 0.0377 memory: 4652 grad_norm: 2.9835 loss: 4.3483 loss_cls: 2.8606 loss_bbox: 1.4877 +2024/10/30 02:50:17 - mmengine - INFO - Epoch(train) [68][2800/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 18:57:47 time: 0.4433 data_time: 0.0416 memory: 4652 grad_norm: 2.9799 loss: 4.3320 loss_cls: 2.8983 loss_bbox: 1.4337 +2024/10/30 02:50:39 - mmengine - INFO - Epoch(train) [68][2850/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 18:57:26 time: 0.4363 data_time: 0.0366 memory: 4652 grad_norm: 3.1178 loss: 4.3717 loss_cls: 2.8918 loss_bbox: 1.4799 +2024/10/30 02:51:00 - mmengine - INFO - Epoch(train) [68][2900/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 18:57:04 time: 0.4229 data_time: 0.0370 memory: 4652 grad_norm: 2.9118 loss: 4.2731 loss_cls: 2.8456 loss_bbox: 1.4274 +2024/10/30 02:51:23 - mmengine - INFO - Epoch(train) [68][2950/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 18:56:44 time: 0.4484 data_time: 0.0391 memory: 4652 grad_norm: 2.7770 loss: 4.2792 loss_cls: 2.8565 loss_bbox: 1.4227 +2024/10/30 02:51:45 - mmengine - INFO - Epoch(train) [68][3000/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 18:56:23 time: 0.4424 data_time: 0.0479 memory: 4652 grad_norm: 2.9244 loss: 4.3292 loss_cls: 2.8870 loss_bbox: 1.4422 +2024/10/30 02:52:07 - mmengine - INFO - Epoch(train) [68][3050/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 18:56:02 time: 0.4385 data_time: 0.0382 memory: 4652 grad_norm: 3.1453 loss: 4.3847 loss_cls: 2.9141 loss_bbox: 1.4706 +2024/10/30 02:52:09 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 02:52:09 - mmengine - INFO - Saving checkpoint at 68 epochs +2024/10/30 02:52:40 - mmengine - INFO - Epoch(train) [69][ 50/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:55:39 time: 0.4328 data_time: 0.0591 memory: 4652 grad_norm: 3.0131 loss: 4.3096 loss_cls: 2.8378 loss_bbox: 1.4718 +2024/10/30 02:53:00 - mmengine - INFO - Epoch(train) [69][ 100/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:55:17 time: 0.4142 data_time: 0.0457 memory: 4652 grad_norm: 3.2114 loss: 4.3753 loss_cls: 2.9302 loss_bbox: 1.4451 +2024/10/30 02:53:22 - mmengine - INFO - Epoch(train) [69][ 150/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:54:55 time: 0.4270 data_time: 0.0410 memory: 4652 grad_norm: 2.7344 loss: 4.2932 loss_cls: 2.8775 loss_bbox: 1.4157 +2024/10/30 02:53:43 - mmengine - INFO - Epoch(train) [69][ 200/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:54:33 time: 0.4187 data_time: 0.0427 memory: 4652 grad_norm: 2.7865 loss: 4.2716 loss_cls: 2.8433 loss_bbox: 1.4283 +2024/10/30 02:54:04 - mmengine - INFO - Epoch(train) [69][ 250/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:54:12 time: 0.4257 data_time: 0.0410 memory: 4652 grad_norm: 3.0041 loss: 4.2932 loss_cls: 2.8419 loss_bbox: 1.4512 +2024/10/30 02:54:26 - mmengine - INFO - Epoch(train) [69][ 300/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:53:51 time: 0.4480 data_time: 0.0767 memory: 4652 grad_norm: 3.2258 loss: 4.3078 loss_cls: 2.8882 loss_bbox: 1.4196 +2024/10/30 02:54:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 02:54:47 - mmengine - INFO - Epoch(train) [69][ 350/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:53:29 time: 0.4180 data_time: 0.0451 memory: 4652 grad_norm: 2.9009 loss: 4.2876 loss_cls: 2.8888 loss_bbox: 1.3988 +2024/10/30 02:55:09 - mmengine - INFO - Epoch(train) [69][ 400/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:53:08 time: 0.4398 data_time: 0.0427 memory: 4652 grad_norm: 2.8107 loss: 4.2761 loss_cls: 2.8646 loss_bbox: 1.4116 +2024/10/30 02:55:30 - mmengine - INFO - Epoch(train) [69][ 450/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:52:46 time: 0.4105 data_time: 0.0419 memory: 4652 grad_norm: 2.9146 loss: 4.4718 loss_cls: 2.9847 loss_bbox: 1.4871 +2024/10/30 02:55:52 - mmengine - INFO - Epoch(train) [69][ 500/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:52:25 time: 0.4386 data_time: 0.0455 memory: 4652 grad_norm: 2.9553 loss: 4.3143 loss_cls: 2.8844 loss_bbox: 1.4299 +2024/10/30 02:56:12 - mmengine - INFO - Epoch(train) [69][ 550/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:52:02 time: 0.4060 data_time: 0.0413 memory: 4652 grad_norm: 2.8985 loss: 4.4345 loss_cls: 2.9846 loss_bbox: 1.4499 +2024/10/30 02:56:33 - mmengine - INFO - Epoch(train) [69][ 600/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:51:40 time: 0.4169 data_time: 0.0495 memory: 4652 grad_norm: 2.9159 loss: 4.3504 loss_cls: 2.9001 loss_bbox: 1.4504 +2024/10/30 02:56:54 - mmengine - INFO - Epoch(train) [69][ 650/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:51:19 time: 0.4274 data_time: 0.0451 memory: 4652 grad_norm: 3.1044 loss: 4.3307 loss_cls: 2.8826 loss_bbox: 1.4481 +2024/10/30 02:57:16 - mmengine - INFO - Epoch(train) [69][ 700/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:50:58 time: 0.4404 data_time: 0.0451 memory: 4652 grad_norm: 3.1808 loss: 4.2717 loss_cls: 2.8269 loss_bbox: 1.4448 +2024/10/30 02:57:39 - mmengine - INFO - Epoch(train) [69][ 750/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:50:37 time: 0.4526 data_time: 0.0452 memory: 4652 grad_norm: 3.2644 loss: 4.3275 loss_cls: 2.8580 loss_bbox: 1.4694 +2024/10/30 02:58:00 - mmengine - INFO - Epoch(train) [69][ 800/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:50:15 time: 0.4132 data_time: 0.0376 memory: 4652 grad_norm: 2.8430 loss: 4.3468 loss_cls: 2.8962 loss_bbox: 1.4506 +2024/10/30 02:58:21 - mmengine - INFO - Epoch(train) [69][ 850/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:49:54 time: 0.4326 data_time: 0.0384 memory: 4652 grad_norm: 3.0250 loss: 4.2367 loss_cls: 2.8478 loss_bbox: 1.3888 +2024/10/30 02:58:43 - mmengine - INFO - Epoch(train) [69][ 900/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:49:32 time: 0.4223 data_time: 0.0381 memory: 4652 grad_norm: 2.9449 loss: 4.2961 loss_cls: 2.8590 loss_bbox: 1.4371 +2024/10/30 02:59:04 - mmengine - INFO - Epoch(train) [69][ 950/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:49:11 time: 0.4291 data_time: 0.0415 memory: 4652 grad_norm: 2.9352 loss: 4.2261 loss_cls: 2.8413 loss_bbox: 1.3848 +2024/10/30 02:59:28 - mmengine - INFO - Epoch(train) [69][1000/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:48:51 time: 0.4774 data_time: 0.0774 memory: 4652 grad_norm: 3.1125 loss: 4.3061 loss_cls: 2.8758 loss_bbox: 1.4303 +2024/10/30 02:59:49 - mmengine - INFO - Epoch(train) [69][1050/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:48:29 time: 0.4224 data_time: 0.0412 memory: 4652 grad_norm: 2.8256 loss: 4.2396 loss_cls: 2.8427 loss_bbox: 1.3969 +2024/10/30 03:00:11 - mmengine - INFO - Epoch(train) [69][1100/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:48:09 time: 0.4426 data_time: 0.0379 memory: 4652 grad_norm: 3.0050 loss: 4.3083 loss_cls: 2.9022 loss_bbox: 1.4061 +2024/10/30 03:00:33 - mmengine - INFO - Epoch(train) [69][1150/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:47:47 time: 0.4282 data_time: 0.0378 memory: 4652 grad_norm: 2.8700 loss: 4.2522 loss_cls: 2.8686 loss_bbox: 1.3837 +2024/10/30 03:00:55 - mmengine - INFO - Epoch(train) [69][1200/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:47:26 time: 0.4377 data_time: 0.0387 memory: 4652 grad_norm: 3.1004 loss: 4.2485 loss_cls: 2.8312 loss_bbox: 1.4173 +2024/10/30 03:01:17 - mmengine - INFO - Epoch(train) [69][1250/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:47:05 time: 0.4483 data_time: 0.0416 memory: 4652 grad_norm: 3.0315 loss: 4.3180 loss_cls: 2.8405 loss_bbox: 1.4775 +2024/10/30 03:01:39 - mmengine - INFO - Epoch(train) [69][1300/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:46:44 time: 0.4302 data_time: 0.0398 memory: 4652 grad_norm: 2.8066 loss: 4.3545 loss_cls: 2.8994 loss_bbox: 1.4551 +2024/10/30 03:01:52 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 03:02:01 - mmengine - INFO - Epoch(train) [69][1350/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:46:23 time: 0.4574 data_time: 0.0450 memory: 4652 grad_norm: 2.9090 loss: 4.3263 loss_cls: 2.8914 loss_bbox: 1.4349 +2024/10/30 03:02:23 - mmengine - INFO - Epoch(train) [69][1400/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:46:02 time: 0.4318 data_time: 0.0380 memory: 4652 grad_norm: 2.9351 loss: 4.3482 loss_cls: 2.9363 loss_bbox: 1.4119 +2024/10/30 03:02:45 - mmengine - INFO - Epoch(train) [69][1450/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:45:41 time: 0.4413 data_time: 0.0480 memory: 4652 grad_norm: 3.0039 loss: 4.3797 loss_cls: 2.9329 loss_bbox: 1.4468 +2024/10/30 03:03:07 - mmengine - INFO - Epoch(train) [69][1500/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:45:20 time: 0.4381 data_time: 0.0391 memory: 4652 grad_norm: 2.9556 loss: 4.3457 loss_cls: 2.9160 loss_bbox: 1.4297 +2024/10/30 03:03:29 - mmengine - INFO - Epoch(train) [69][1550/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:44:59 time: 0.4362 data_time: 0.0464 memory: 4652 grad_norm: 3.0051 loss: 4.3981 loss_cls: 2.9193 loss_bbox: 1.4788 +2024/10/30 03:03:51 - mmengine - INFO - Epoch(train) [69][1600/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:44:38 time: 0.4482 data_time: 0.0388 memory: 4652 grad_norm: 2.9553 loss: 4.2202 loss_cls: 2.8403 loss_bbox: 1.3798 +2024/10/30 03:04:13 - mmengine - INFO - Epoch(train) [69][1650/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:44:16 time: 0.4248 data_time: 0.0436 memory: 4652 grad_norm: 3.1296 loss: 4.3248 loss_cls: 2.9079 loss_bbox: 1.4169 +2024/10/30 03:04:35 - mmengine - INFO - Epoch(train) [69][1700/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:43:55 time: 0.4431 data_time: 0.0615 memory: 4652 grad_norm: 2.8128 loss: 4.3635 loss_cls: 2.9119 loss_bbox: 1.4516 +2024/10/30 03:04:57 - mmengine - INFO - Epoch(train) [69][1750/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:43:34 time: 0.4369 data_time: 0.0366 memory: 4652 grad_norm: 3.0292 loss: 4.3430 loss_cls: 2.8907 loss_bbox: 1.4523 +2024/10/30 03:05:18 - mmengine - INFO - Epoch(train) [69][1800/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:43:13 time: 0.4295 data_time: 0.0388 memory: 4652 grad_norm: 2.8556 loss: 4.3191 loss_cls: 2.9119 loss_bbox: 1.4071 +2024/10/30 03:05:41 - mmengine - INFO - Epoch(train) [69][1850/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:42:53 time: 0.4608 data_time: 0.0394 memory: 4652 grad_norm: 3.0577 loss: 4.2704 loss_cls: 2.8815 loss_bbox: 1.3889 +2024/10/30 03:06:02 - mmengine - INFO - Epoch(train) [69][1900/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:42:31 time: 0.4152 data_time: 0.0376 memory: 4652 grad_norm: 2.8700 loss: 4.3015 loss_cls: 2.8926 loss_bbox: 1.4088 +2024/10/30 03:06:29 - mmengine - INFO - Epoch(train) [69][1950/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:42:13 time: 0.5391 data_time: 0.1284 memory: 4652 grad_norm: 2.9802 loss: 4.1990 loss_cls: 2.8240 loss_bbox: 1.3750 +2024/10/30 03:06:50 - mmengine - INFO - Epoch(train) [69][2000/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:41:52 time: 0.4293 data_time: 0.0398 memory: 4652 grad_norm: 3.1609 loss: 4.2395 loss_cls: 2.8071 loss_bbox: 1.4324 +2024/10/30 03:07:12 - mmengine - INFO - Epoch(train) [69][2050/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:41:30 time: 0.4233 data_time: 0.0389 memory: 4652 grad_norm: 2.9333 loss: 4.2617 loss_cls: 2.8485 loss_bbox: 1.4132 +2024/10/30 03:07:34 - mmengine - INFO - Epoch(train) [69][2100/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:41:09 time: 0.4447 data_time: 0.0395 memory: 4652 grad_norm: 3.0155 loss: 4.2509 loss_cls: 2.8646 loss_bbox: 1.3863 +2024/10/30 03:07:55 - mmengine - INFO - Epoch(train) [69][2150/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:40:48 time: 0.4305 data_time: 0.0457 memory: 4652 grad_norm: 3.0438 loss: 4.3100 loss_cls: 2.8841 loss_bbox: 1.4259 +2024/10/30 03:08:17 - mmengine - INFO - Epoch(train) [69][2200/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:40:27 time: 0.4349 data_time: 0.0390 memory: 4652 grad_norm: 3.0197 loss: 4.2921 loss_cls: 2.8825 loss_bbox: 1.4096 +2024/10/30 03:08:39 - mmengine - INFO - Epoch(train) [69][2250/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:40:05 time: 0.4271 data_time: 0.0381 memory: 4652 grad_norm: 3.0311 loss: 4.2598 loss_cls: 2.8516 loss_bbox: 1.4082 +2024/10/30 03:09:00 - mmengine - INFO - Epoch(train) [69][2300/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:39:44 time: 0.4302 data_time: 0.0479 memory: 4652 grad_norm: 2.9258 loss: 4.4036 loss_cls: 2.9286 loss_bbox: 1.4750 +2024/10/30 03:09:13 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 03:09:22 - mmengine - INFO - Epoch(train) [69][2350/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:39:23 time: 0.4472 data_time: 0.0379 memory: 4652 grad_norm: 2.8626 loss: 4.3387 loss_cls: 2.8862 loss_bbox: 1.4525 +2024/10/30 03:09:43 - mmengine - INFO - Epoch(train) [69][2400/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:39:01 time: 0.4134 data_time: 0.0418 memory: 4652 grad_norm: 3.1591 loss: 4.2471 loss_cls: 2.8511 loss_bbox: 1.3961 +2024/10/30 03:10:05 - mmengine - INFO - Epoch(train) [69][2450/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:38:40 time: 0.4389 data_time: 0.0479 memory: 4652 grad_norm: 3.0037 loss: 4.2521 loss_cls: 2.7850 loss_bbox: 1.4671 +2024/10/30 03:10:27 - mmengine - INFO - Epoch(train) [69][2500/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:38:18 time: 0.4286 data_time: 0.0402 memory: 4652 grad_norm: 3.0339 loss: 4.2835 loss_cls: 2.8867 loss_bbox: 1.3968 +2024/10/30 03:10:48 - mmengine - INFO - Epoch(train) [69][2550/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:37:57 time: 0.4333 data_time: 0.0474 memory: 4652 grad_norm: 2.9388 loss: 4.2177 loss_cls: 2.8227 loss_bbox: 1.3950 +2024/10/30 03:11:10 - mmengine - INFO - Epoch(train) [69][2600/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:37:36 time: 0.4409 data_time: 0.0446 memory: 4652 grad_norm: 2.9137 loss: 4.3795 loss_cls: 2.9026 loss_bbox: 1.4769 +2024/10/30 03:11:31 - mmengine - INFO - Epoch(train) [69][2650/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:37:14 time: 0.4207 data_time: 0.0404 memory: 4652 grad_norm: 3.2311 loss: 4.3468 loss_cls: 2.9049 loss_bbox: 1.4420 +2024/10/30 03:11:53 - mmengine - INFO - Epoch(train) [69][2700/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:36:53 time: 0.4388 data_time: 0.0449 memory: 4652 grad_norm: 3.0636 loss: 4.2896 loss_cls: 2.8909 loss_bbox: 1.3987 +2024/10/30 03:12:15 - mmengine - INFO - Epoch(train) [69][2750/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:36:32 time: 0.4368 data_time: 0.0411 memory: 4652 grad_norm: 3.1544 loss: 4.3925 loss_cls: 2.9465 loss_bbox: 1.4460 +2024/10/30 03:12:37 - mmengine - INFO - Epoch(train) [69][2800/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:36:11 time: 0.4330 data_time: 0.0459 memory: 4652 grad_norm: 2.9110 loss: 4.5054 loss_cls: 3.0232 loss_bbox: 1.4822 +2024/10/30 03:12:58 - mmengine - INFO - Epoch(train) [69][2850/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:35:49 time: 0.4327 data_time: 0.0382 memory: 4652 grad_norm: 3.0287 loss: 4.3470 loss_cls: 2.9168 loss_bbox: 1.4302 +2024/10/30 03:13:20 - mmengine - INFO - Epoch(train) [69][2900/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:35:28 time: 0.4241 data_time: 0.0402 memory: 4652 grad_norm: 3.0349 loss: 4.3176 loss_cls: 2.8739 loss_bbox: 1.4437 +2024/10/30 03:13:42 - mmengine - INFO - Epoch(train) [69][2950/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:35:06 time: 0.4378 data_time: 0.0378 memory: 4652 grad_norm: 3.1035 loss: 4.3429 loss_cls: 2.9120 loss_bbox: 1.4310 +2024/10/30 03:14:03 - mmengine - INFO - Epoch(train) [69][3000/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:34:45 time: 0.4289 data_time: 0.0384 memory: 4652 grad_norm: 3.2459 loss: 4.2758 loss_cls: 2.8910 loss_bbox: 1.3847 +2024/10/30 03:14:28 - mmengine - INFO - Epoch(train) [69][3050/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 18:34:26 time: 0.4920 data_time: 0.1031 memory: 4652 grad_norm: 3.0779 loss: 4.4643 loss_cls: 2.9681 loss_bbox: 1.4962 +2024/10/30 03:14:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 03:14:29 - mmengine - INFO - Saving checkpoint at 69 epochs +2024/10/30 03:14:56 - mmengine - INFO - Epoch(train) [70][ 50/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:34:03 time: 0.4403 data_time: 0.0559 memory: 4652 grad_norm: 3.1177 loss: 4.3717 loss_cls: 2.9014 loss_bbox: 1.4703 +2024/10/30 03:15:17 - mmengine - INFO - Epoch(train) [70][ 100/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:33:41 time: 0.4188 data_time: 0.0409 memory: 4652 grad_norm: 2.6777 loss: 4.2188 loss_cls: 2.8435 loss_bbox: 1.3753 +2024/10/30 03:15:39 - mmengine - INFO - Epoch(train) [70][ 150/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:33:20 time: 0.4322 data_time: 0.0386 memory: 4652 grad_norm: 2.8302 loss: 4.3030 loss_cls: 2.9213 loss_bbox: 1.3817 +2024/10/30 03:16:00 - mmengine - INFO - Epoch(train) [70][ 200/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:32:58 time: 0.4172 data_time: 0.0399 memory: 4652 grad_norm: 3.1522 loss: 4.2424 loss_cls: 2.8483 loss_bbox: 1.3941 +2024/10/30 03:16:21 - mmengine - INFO - Epoch(train) [70][ 250/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:32:36 time: 0.4263 data_time: 0.0384 memory: 4652 grad_norm: 2.9871 loss: 4.3871 loss_cls: 2.9245 loss_bbox: 1.4625 +2024/10/30 03:16:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 03:16:42 - mmengine - INFO - Epoch(train) [70][ 300/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:32:15 time: 0.4298 data_time: 0.0391 memory: 4652 grad_norm: 2.7661 loss: 4.2937 loss_cls: 2.8403 loss_bbox: 1.4535 +2024/10/30 03:17:03 - mmengine - INFO - Epoch(train) [70][ 350/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:31:53 time: 0.4187 data_time: 0.0432 memory: 4652 grad_norm: 2.9759 loss: 4.3257 loss_cls: 2.8772 loss_bbox: 1.4486 +2024/10/30 03:17:27 - mmengine - INFO - Epoch(train) [70][ 400/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:31:33 time: 0.4788 data_time: 0.0853 memory: 4652 grad_norm: 2.8521 loss: 4.2790 loss_cls: 2.8806 loss_bbox: 1.3984 +2024/10/30 03:17:48 - mmengine - INFO - Epoch(train) [70][ 450/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:31:11 time: 0.4162 data_time: 0.0395 memory: 4652 grad_norm: 3.1295 loss: 4.3667 loss_cls: 2.9184 loss_bbox: 1.4483 +2024/10/30 03:18:10 - mmengine - INFO - Epoch(train) [70][ 500/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:30:50 time: 0.4280 data_time: 0.0428 memory: 4652 grad_norm: 3.0786 loss: 4.2938 loss_cls: 2.8786 loss_bbox: 1.4152 +2024/10/30 03:18:31 - mmengine - INFO - Epoch(train) [70][ 550/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:30:28 time: 0.4272 data_time: 0.0460 memory: 4652 grad_norm: 2.8408 loss: 4.3810 loss_cls: 2.9305 loss_bbox: 1.4505 +2024/10/30 03:18:52 - mmengine - INFO - Epoch(train) [70][ 600/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:30:06 time: 0.4183 data_time: 0.0396 memory: 4652 grad_norm: 3.1637 loss: 4.2272 loss_cls: 2.8245 loss_bbox: 1.4028 +2024/10/30 03:19:14 - mmengine - INFO - Epoch(train) [70][ 650/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:29:45 time: 0.4333 data_time: 0.0465 memory: 4652 grad_norm: 2.9175 loss: 4.2807 loss_cls: 2.8753 loss_bbox: 1.4054 +2024/10/30 03:19:34 - mmengine - INFO - Epoch(train) [70][ 700/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:29:23 time: 0.4146 data_time: 0.0382 memory: 4652 grad_norm: 3.1129 loss: 4.2810 loss_cls: 2.8740 loss_bbox: 1.4070 +2024/10/30 03:19:56 - mmengine - INFO - Epoch(train) [70][ 750/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:29:01 time: 0.4229 data_time: 0.0457 memory: 4652 grad_norm: 2.8187 loss: 4.2816 loss_cls: 2.8841 loss_bbox: 1.3975 +2024/10/30 03:20:16 - mmengine - INFO - Epoch(train) [70][ 800/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:28:39 time: 0.4182 data_time: 0.0395 memory: 4652 grad_norm: 2.9450 loss: 4.3201 loss_cls: 2.8758 loss_bbox: 1.4443 +2024/10/30 03:20:38 - mmengine - INFO - Epoch(train) [70][ 850/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:28:18 time: 0.4258 data_time: 0.0400 memory: 4652 grad_norm: 3.0618 loss: 4.3773 loss_cls: 2.9051 loss_bbox: 1.4722 +2024/10/30 03:20:59 - mmengine - INFO - Epoch(train) [70][ 900/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:27:57 time: 0.4343 data_time: 0.0374 memory: 4652 grad_norm: 2.7592 loss: 4.3304 loss_cls: 2.8837 loss_bbox: 1.4467 +2024/10/30 03:21:21 - mmengine - INFO - Epoch(train) [70][ 950/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:27:35 time: 0.4305 data_time: 0.0417 memory: 4652 grad_norm: 2.9144 loss: 4.3231 loss_cls: 2.8731 loss_bbox: 1.4501 +2024/10/30 03:21:43 - mmengine - INFO - Epoch(train) [70][1000/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:27:14 time: 0.4339 data_time: 0.0458 memory: 4652 grad_norm: 2.8794 loss: 4.3191 loss_cls: 2.8727 loss_bbox: 1.4463 +2024/10/30 03:22:03 - mmengine - INFO - Epoch(train) [70][1050/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:26:52 time: 0.4089 data_time: 0.0367 memory: 4652 grad_norm: 3.0213 loss: 4.3662 loss_cls: 2.9198 loss_bbox: 1.4464 +2024/10/30 03:22:27 - mmengine - INFO - Epoch(train) [70][1100/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:26:32 time: 0.4824 data_time: 0.1056 memory: 4652 grad_norm: 3.0083 loss: 4.3825 loss_cls: 2.9043 loss_bbox: 1.4781 +2024/10/30 03:22:49 - mmengine - INFO - Epoch(train) [70][1150/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:26:11 time: 0.4368 data_time: 0.0449 memory: 4652 grad_norm: 2.9937 loss: 4.2684 loss_cls: 2.8713 loss_bbox: 1.3971 +2024/10/30 03:23:11 - mmengine - INFO - Epoch(train) [70][1200/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:25:49 time: 0.4253 data_time: 0.0381 memory: 4652 grad_norm: 2.9658 loss: 4.3398 loss_cls: 2.9202 loss_bbox: 1.4196 +2024/10/30 03:23:33 - mmengine - INFO - Epoch(train) [70][1250/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:25:29 time: 0.4520 data_time: 0.0400 memory: 4652 grad_norm: 2.8447 loss: 4.3261 loss_cls: 2.9004 loss_bbox: 1.4257 +2024/10/30 03:23:43 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 03:23:54 - mmengine - INFO - Epoch(train) [70][1300/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:25:07 time: 0.4237 data_time: 0.0383 memory: 4652 grad_norm: 3.0629 loss: 4.3082 loss_cls: 2.8793 loss_bbox: 1.4288 +2024/10/30 03:24:16 - mmengine - INFO - Epoch(train) [70][1350/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:24:46 time: 0.4358 data_time: 0.0452 memory: 4652 grad_norm: 3.0228 loss: 4.3708 loss_cls: 2.9558 loss_bbox: 1.4150 +2024/10/30 03:24:38 - mmengine - INFO - Epoch(train) [70][1400/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:24:24 time: 0.4265 data_time: 0.0381 memory: 4652 grad_norm: 2.9550 loss: 4.2873 loss_cls: 2.8462 loss_bbox: 1.4411 +2024/10/30 03:24:59 - mmengine - INFO - Epoch(train) [70][1450/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:24:03 time: 0.4291 data_time: 0.0422 memory: 4652 grad_norm: 3.1440 loss: 4.3499 loss_cls: 2.8637 loss_bbox: 1.4862 +2024/10/30 03:25:20 - mmengine - INFO - Epoch(train) [70][1500/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:23:41 time: 0.4261 data_time: 0.0386 memory: 4652 grad_norm: 3.1581 loss: 4.2112 loss_cls: 2.8143 loss_bbox: 1.3969 +2024/10/30 03:25:42 - mmengine - INFO - Epoch(train) [70][1550/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:23:20 time: 0.4296 data_time: 0.0405 memory: 4652 grad_norm: 2.8022 loss: 4.3020 loss_cls: 2.8857 loss_bbox: 1.4163 +2024/10/30 03:26:04 - mmengine - INFO - Epoch(train) [70][1600/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:22:59 time: 0.4417 data_time: 0.0488 memory: 4652 grad_norm: 2.9242 loss: 4.3273 loss_cls: 2.8560 loss_bbox: 1.4714 +2024/10/30 03:26:25 - mmengine - INFO - Epoch(train) [70][1650/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:22:37 time: 0.4178 data_time: 0.0450 memory: 4652 grad_norm: 3.1546 loss: 4.3120 loss_cls: 2.8817 loss_bbox: 1.4303 +2024/10/30 03:26:46 - mmengine - INFO - Epoch(train) [70][1700/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:22:15 time: 0.4218 data_time: 0.0381 memory: 4652 grad_norm: 3.0002 loss: 4.2105 loss_cls: 2.8501 loss_bbox: 1.3603 +2024/10/30 03:27:07 - mmengine - INFO - Epoch(train) [70][1750/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:21:54 time: 0.4300 data_time: 0.0375 memory: 4652 grad_norm: 2.9268 loss: 4.3177 loss_cls: 2.9075 loss_bbox: 1.4103 +2024/10/30 03:27:29 - mmengine - INFO - Epoch(train) [70][1800/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:21:32 time: 0.4230 data_time: 0.0464 memory: 4652 grad_norm: 3.1516 loss: 4.2590 loss_cls: 2.8349 loss_bbox: 1.4241 +2024/10/30 03:27:50 - mmengine - INFO - Epoch(train) [70][1850/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:21:11 time: 0.4361 data_time: 0.0396 memory: 4652 grad_norm: 2.9878 loss: 4.3362 loss_cls: 2.9275 loss_bbox: 1.4086 +2024/10/30 03:28:11 - mmengine - INFO - Epoch(train) [70][1900/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:20:49 time: 0.4098 data_time: 0.0421 memory: 4652 grad_norm: 3.1651 loss: 4.3939 loss_cls: 2.9543 loss_bbox: 1.4396 +2024/10/30 03:28:32 - mmengine - INFO - Epoch(train) [70][1950/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:20:27 time: 0.4282 data_time: 0.0369 memory: 4652 grad_norm: 3.0553 loss: 4.3526 loss_cls: 2.9248 loss_bbox: 1.4278 +2024/10/30 03:28:53 - mmengine - INFO - Epoch(train) [70][2000/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:20:05 time: 0.4162 data_time: 0.0367 memory: 4652 grad_norm: 2.8049 loss: 4.4131 loss_cls: 2.9385 loss_bbox: 1.4746 +2024/10/30 03:29:14 - mmengine - INFO - Epoch(train) [70][2050/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:19:43 time: 0.4222 data_time: 0.0370 memory: 4652 grad_norm: 2.9645 loss: 4.2252 loss_cls: 2.8234 loss_bbox: 1.4018 +2024/10/30 03:29:36 - mmengine - INFO - Epoch(train) [70][2100/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:19:22 time: 0.4275 data_time: 0.0527 memory: 4652 grad_norm: 2.9003 loss: 4.2619 loss_cls: 2.8625 loss_bbox: 1.3995 +2024/10/30 03:29:56 - mmengine - INFO - Epoch(train) [70][2150/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:19:00 time: 0.4116 data_time: 0.0426 memory: 4652 grad_norm: 2.8111 loss: 4.2657 loss_cls: 2.8462 loss_bbox: 1.4195 +2024/10/30 03:30:18 - mmengine - INFO - Epoch(train) [70][2200/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:18:39 time: 0.4386 data_time: 0.0410 memory: 4652 grad_norm: 2.8867 loss: 4.3614 loss_cls: 2.9023 loss_bbox: 1.4590 +2024/10/30 03:30:39 - mmengine - INFO - Epoch(train) [70][2250/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:18:17 time: 0.4162 data_time: 0.0387 memory: 4652 grad_norm: 3.0465 loss: 4.2749 loss_cls: 2.8332 loss_bbox: 1.4417 +2024/10/30 03:30:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 03:31:00 - mmengine - INFO - Epoch(train) [70][2300/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:17:55 time: 0.4128 data_time: 0.0374 memory: 4652 grad_norm: 3.0619 loss: 4.2944 loss_cls: 2.8950 loss_bbox: 1.3994 +2024/10/30 03:31:22 - mmengine - INFO - Epoch(train) [70][2350/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:17:33 time: 0.4377 data_time: 0.0433 memory: 4652 grad_norm: 3.1088 loss: 4.3965 loss_cls: 2.9418 loss_bbox: 1.4547 +2024/10/30 03:31:42 - mmengine - INFO - Epoch(train) [70][2400/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:17:11 time: 0.4081 data_time: 0.0396 memory: 4652 grad_norm: 2.8357 loss: 4.2444 loss_cls: 2.8792 loss_bbox: 1.3652 +2024/10/30 03:32:04 - mmengine - INFO - Epoch(train) [70][2450/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:16:50 time: 0.4335 data_time: 0.0420 memory: 4652 grad_norm: 3.1968 loss: 4.3311 loss_cls: 2.8704 loss_bbox: 1.4607 +2024/10/30 03:32:26 - mmengine - INFO - Epoch(train) [70][2500/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:16:29 time: 0.4432 data_time: 0.0685 memory: 4652 grad_norm: 2.7639 loss: 4.3879 loss_cls: 2.9292 loss_bbox: 1.4587 +2024/10/30 03:32:47 - mmengine - INFO - Epoch(train) [70][2550/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:16:07 time: 0.4157 data_time: 0.0386 memory: 4652 grad_norm: 3.0374 loss: 4.3944 loss_cls: 2.9227 loss_bbox: 1.4717 +2024/10/30 03:33:08 - mmengine - INFO - Epoch(train) [70][2600/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:15:45 time: 0.4250 data_time: 0.0382 memory: 4652 grad_norm: 2.8199 loss: 4.3378 loss_cls: 2.9244 loss_bbox: 1.4135 +2024/10/30 03:33:29 - mmengine - INFO - Epoch(train) [70][2650/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:15:23 time: 0.4095 data_time: 0.0387 memory: 4652 grad_norm: 3.0272 loss: 4.3137 loss_cls: 2.8862 loss_bbox: 1.4275 +2024/10/30 03:33:50 - mmengine - INFO - Epoch(train) [70][2700/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:15:02 time: 0.4302 data_time: 0.0385 memory: 4652 grad_norm: 2.9027 loss: 4.2391 loss_cls: 2.8343 loss_bbox: 1.4048 +2024/10/30 03:34:11 - mmengine - INFO - Epoch(train) [70][2750/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:14:40 time: 0.4206 data_time: 0.0413 memory: 4652 grad_norm: 3.1855 loss: 4.2905 loss_cls: 2.8895 loss_bbox: 1.4010 +2024/10/30 03:34:32 - mmengine - INFO - Epoch(train) [70][2800/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:14:18 time: 0.4241 data_time: 0.0410 memory: 4652 grad_norm: 2.9936 loss: 4.3095 loss_cls: 2.8852 loss_bbox: 1.4242 +2024/10/30 03:34:54 - mmengine - INFO - Epoch(train) [70][2850/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:13:57 time: 0.4274 data_time: 0.0587 memory: 4652 grad_norm: 3.4054 loss: 4.3363 loss_cls: 2.9571 loss_bbox: 1.3793 +2024/10/30 03:35:14 - mmengine - INFO - Epoch(train) [70][2900/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:13:35 time: 0.4103 data_time: 0.0399 memory: 4652 grad_norm: 2.9592 loss: 4.1746 loss_cls: 2.8088 loss_bbox: 1.3658 +2024/10/30 03:35:36 - mmengine - INFO - Epoch(train) [70][2950/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:13:14 time: 0.4396 data_time: 0.0412 memory: 4652 grad_norm: 3.2773 loss: 4.2839 loss_cls: 2.8572 loss_bbox: 1.4267 +2024/10/30 03:35:57 - mmengine - INFO - Epoch(train) [70][3000/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:12:52 time: 0.4210 data_time: 0.0452 memory: 4652 grad_norm: 3.0223 loss: 4.2863 loss_cls: 2.8588 loss_bbox: 1.4276 +2024/10/30 03:36:19 - mmengine - INFO - Epoch(train) [70][3050/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 18:12:30 time: 0.4249 data_time: 0.0498 memory: 4652 grad_norm: 2.7813 loss: 4.4459 loss_cls: 2.9707 loss_bbox: 1.4752 +2024/10/30 03:36:20 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 03:36:20 - mmengine - INFO - Saving checkpoint at 70 epochs +2024/10/30 03:36:30 - mmengine - INFO - Epoch(val) [70][50/79] eta: 0:00:02 time: 0.0753 data_time: 0.0088 memory: 4652 +2024/10/30 03:36:53 - mmengine - INFO - Evaluating bbox... +2024/10/30 03:38:19 - mmengine - INFO - bbox_mAP_copypaste: 0.200 0.353 0.202 0.052 0.237 0.325 +2024/10/30 03:38:21 - mmengine - INFO - Epoch(val) [70][79/79] coco/bbox_mAP: 0.2000 coco/bbox_mAP_50: 0.3530 coco/bbox_mAP_75: 0.2020 coco/bbox_mAP_s: 0.0520 coco/bbox_mAP_m: 0.2370 coco/bbox_mAP_l: 0.3250 data_time: 0.0082 time: 0.0738 +2024/10/30 03:38:44 - mmengine - INFO - Epoch(train) [71][ 50/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:12:08 time: 0.4568 data_time: 0.0630 memory: 4652 grad_norm: 2.8858 loss: 4.3694 loss_cls: 2.9128 loss_bbox: 1.4566 +2024/10/30 03:39:06 - mmengine - INFO - Epoch(train) [71][ 100/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:11:46 time: 0.4302 data_time: 0.0382 memory: 4652 grad_norm: 2.8839 loss: 4.2679 loss_cls: 2.8533 loss_bbox: 1.4146 +2024/10/30 03:39:27 - mmengine - INFO - Epoch(train) [71][ 150/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:11:25 time: 0.4316 data_time: 0.0396 memory: 4652 grad_norm: 3.2724 loss: 4.4051 loss_cls: 2.9169 loss_bbox: 1.4882 +2024/10/30 03:39:48 - mmengine - INFO - Epoch(train) [71][ 200/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:11:03 time: 0.4124 data_time: 0.0356 memory: 4652 grad_norm: 3.0636 loss: 4.2366 loss_cls: 2.8301 loss_bbox: 1.4066 +2024/10/30 03:39:56 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 03:40:09 - mmengine - INFO - Epoch(train) [71][ 250/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:10:41 time: 0.4216 data_time: 0.0366 memory: 4652 grad_norm: 3.0486 loss: 4.1668 loss_cls: 2.7636 loss_bbox: 1.4032 +2024/10/30 03:40:30 - mmengine - INFO - Epoch(train) [71][ 300/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:10:20 time: 0.4258 data_time: 0.0384 memory: 4652 grad_norm: 2.8612 loss: 4.2590 loss_cls: 2.8317 loss_bbox: 1.4273 +2024/10/30 03:40:51 - mmengine - INFO - Epoch(train) [71][ 350/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:09:58 time: 0.4189 data_time: 0.0397 memory: 4652 grad_norm: 2.8335 loss: 4.2408 loss_cls: 2.8436 loss_bbox: 1.3972 +2024/10/30 03:41:13 - mmengine - INFO - Epoch(train) [71][ 400/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:09:36 time: 0.4249 data_time: 0.0445 memory: 4652 grad_norm: 2.8884 loss: 4.3313 loss_cls: 2.8687 loss_bbox: 1.4626 +2024/10/30 03:41:33 - mmengine - INFO - Epoch(train) [71][ 450/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:09:14 time: 0.4129 data_time: 0.0364 memory: 4652 grad_norm: 2.9307 loss: 4.1701 loss_cls: 2.8027 loss_bbox: 1.3675 +2024/10/30 03:41:54 - mmengine - INFO - Epoch(train) [71][ 500/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:08:52 time: 0.4240 data_time: 0.0358 memory: 4652 grad_norm: 2.8941 loss: 4.2996 loss_cls: 2.8534 loss_bbox: 1.4462 +2024/10/30 03:42:15 - mmengine - INFO - Epoch(train) [71][ 550/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:08:30 time: 0.4057 data_time: 0.0357 memory: 4652 grad_norm: 2.9657 loss: 4.2718 loss_cls: 2.8935 loss_bbox: 1.3782 +2024/10/30 03:42:36 - mmengine - INFO - Epoch(train) [71][ 600/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:08:08 time: 0.4151 data_time: 0.0378 memory: 4652 grad_norm: 3.3096 loss: 4.2934 loss_cls: 2.8421 loss_bbox: 1.4513 +2024/10/30 03:42:56 - mmengine - INFO - Epoch(train) [71][ 650/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:07:46 time: 0.4191 data_time: 0.0425 memory: 4652 grad_norm: 2.9486 loss: 4.3008 loss_cls: 2.8583 loss_bbox: 1.4425 +2024/10/30 03:43:17 - mmengine - INFO - Epoch(train) [71][ 700/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:07:24 time: 0.4137 data_time: 0.0358 memory: 4652 grad_norm: 2.8503 loss: 4.2568 loss_cls: 2.8402 loss_bbox: 1.4167 +2024/10/30 03:43:39 - mmengine - INFO - Epoch(train) [71][ 750/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:07:03 time: 0.4284 data_time: 0.0442 memory: 4652 grad_norm: 2.9723 loss: 4.2878 loss_cls: 2.8467 loss_bbox: 1.4411 +2024/10/30 03:43:59 - mmengine - INFO - Epoch(train) [71][ 800/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:06:41 time: 0.4125 data_time: 0.0367 memory: 4652 grad_norm: 3.0305 loss: 4.3209 loss_cls: 2.9013 loss_bbox: 1.4196 +2024/10/30 03:44:21 - mmengine - INFO - Epoch(train) [71][ 850/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:06:19 time: 0.4273 data_time: 0.0377 memory: 4652 grad_norm: 2.8537 loss: 4.3490 loss_cls: 2.9264 loss_bbox: 1.4226 +2024/10/30 03:44:42 - mmengine - INFO - Epoch(train) [71][ 900/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:05:57 time: 0.4174 data_time: 0.0393 memory: 4652 grad_norm: 3.0461 loss: 4.3662 loss_cls: 2.9009 loss_bbox: 1.4653 +2024/10/30 03:45:03 - mmengine - INFO - Epoch(train) [71][ 950/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:05:36 time: 0.4295 data_time: 0.0428 memory: 4652 grad_norm: 3.0263 loss: 4.3000 loss_cls: 2.8634 loss_bbox: 1.4366 +2024/10/30 03:45:27 - mmengine - INFO - Epoch(train) [71][1000/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:05:16 time: 0.4794 data_time: 0.0925 memory: 4652 grad_norm: 2.8099 loss: 4.2479 loss_cls: 2.8481 loss_bbox: 1.3998 +2024/10/30 03:45:47 - mmengine - INFO - Epoch(train) [71][1050/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:04:54 time: 0.4063 data_time: 0.0368 memory: 4652 grad_norm: 2.7960 loss: 4.3439 loss_cls: 2.9023 loss_bbox: 1.4416 +2024/10/30 03:46:09 - mmengine - INFO - Epoch(train) [71][1100/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:04:33 time: 0.4317 data_time: 0.0484 memory: 4652 grad_norm: 2.9744 loss: 4.3130 loss_cls: 2.8566 loss_bbox: 1.4564 +2024/10/30 03:46:30 - mmengine - INFO - Epoch(train) [71][1150/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:04:10 time: 0.4136 data_time: 0.0369 memory: 4652 grad_norm: 2.8837 loss: 4.2534 loss_cls: 2.8353 loss_bbox: 1.4181 +2024/10/30 03:46:51 - mmengine - INFO - Epoch(train) [71][1200/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:03:49 time: 0.4296 data_time: 0.0397 memory: 4652 grad_norm: 2.9386 loss: 4.2986 loss_cls: 2.8754 loss_bbox: 1.4232 +2024/10/30 03:47:00 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 03:47:13 - mmengine - INFO - Epoch(train) [71][1250/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:03:28 time: 0.4444 data_time: 0.0568 memory: 4652 grad_norm: 3.0941 loss: 4.2477 loss_cls: 2.8570 loss_bbox: 1.3908 +2024/10/30 03:47:35 - mmengine - INFO - Epoch(train) [71][1300/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:03:06 time: 0.4237 data_time: 0.0380 memory: 4652 grad_norm: 2.9987 loss: 4.2677 loss_cls: 2.8601 loss_bbox: 1.4076 +2024/10/30 03:47:57 - mmengine - INFO - Epoch(train) [71][1350/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:02:46 time: 0.4434 data_time: 0.0372 memory: 4652 grad_norm: 2.9418 loss: 4.3177 loss_cls: 2.8761 loss_bbox: 1.4416 +2024/10/30 03:48:17 - mmengine - INFO - Epoch(train) [71][1400/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:02:23 time: 0.4115 data_time: 0.0385 memory: 4652 grad_norm: 2.7748 loss: 4.2513 loss_cls: 2.8324 loss_bbox: 1.4189 +2024/10/30 03:48:39 - mmengine - INFO - Epoch(train) [71][1450/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:02:02 time: 0.4274 data_time: 0.0376 memory: 4652 grad_norm: 3.0791 loss: 4.3729 loss_cls: 2.9042 loss_bbox: 1.4687 +2024/10/30 03:49:01 - mmengine - INFO - Epoch(train) [71][1500/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:01:41 time: 0.4331 data_time: 0.0368 memory: 4652 grad_norm: 3.1703 loss: 4.1848 loss_cls: 2.8460 loss_bbox: 1.3389 +2024/10/30 03:49:22 - mmengine - INFO - Epoch(train) [71][1550/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:01:19 time: 0.4207 data_time: 0.0423 memory: 4652 grad_norm: 3.0180 loss: 4.2962 loss_cls: 2.8604 loss_bbox: 1.4358 +2024/10/30 03:49:44 - mmengine - INFO - Epoch(train) [71][1600/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:00:58 time: 0.4433 data_time: 0.0369 memory: 4652 grad_norm: 3.0456 loss: 4.2764 loss_cls: 2.8583 loss_bbox: 1.4181 +2024/10/30 03:50:05 - mmengine - INFO - Epoch(train) [71][1650/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:00:36 time: 0.4188 data_time: 0.0394 memory: 4652 grad_norm: 3.0628 loss: 4.3562 loss_cls: 2.8848 loss_bbox: 1.4715 +2024/10/30 03:50:27 - mmengine - INFO - Epoch(train) [71][1700/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 18:00:15 time: 0.4539 data_time: 0.0547 memory: 4652 grad_norm: 3.1629 loss: 4.1617 loss_cls: 2.7964 loss_bbox: 1.3654 +2024/10/30 03:50:49 - mmengine - INFO - Epoch(train) [71][1750/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:59:54 time: 0.4384 data_time: 0.0457 memory: 4652 grad_norm: 3.0210 loss: 4.2617 loss_cls: 2.8778 loss_bbox: 1.3839 +2024/10/30 03:51:11 - mmengine - INFO - Epoch(train) [71][1800/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:59:33 time: 0.4229 data_time: 0.0359 memory: 4652 grad_norm: 3.3162 loss: 4.3689 loss_cls: 2.8840 loss_bbox: 1.4849 +2024/10/30 03:51:33 - mmengine - INFO - Epoch(train) [71][1850/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:59:12 time: 0.4567 data_time: 0.0485 memory: 4652 grad_norm: 3.0504 loss: 4.2495 loss_cls: 2.8495 loss_bbox: 1.4000 +2024/10/30 03:51:54 - mmengine - INFO - Epoch(train) [71][1900/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:58:50 time: 0.4111 data_time: 0.0383 memory: 4652 grad_norm: 2.9530 loss: 4.3079 loss_cls: 2.8553 loss_bbox: 1.4525 +2024/10/30 03:52:16 - mmengine - INFO - Epoch(train) [71][1950/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:58:29 time: 0.4329 data_time: 0.0391 memory: 4652 grad_norm: 3.0302 loss: 4.3577 loss_cls: 2.9132 loss_bbox: 1.4445 +2024/10/30 03:52:37 - mmengine - INFO - Epoch(train) [71][2000/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:58:07 time: 0.4207 data_time: 0.0375 memory: 4652 grad_norm: 2.7420 loss: 4.3259 loss_cls: 2.8830 loss_bbox: 1.4428 +2024/10/30 03:52:57 - mmengine - INFO - Epoch(train) [71][2050/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:57:45 time: 0.4141 data_time: 0.0407 memory: 4652 grad_norm: 3.0388 loss: 4.3100 loss_cls: 2.8597 loss_bbox: 1.4503 +2024/10/30 03:53:20 - mmengine - INFO - Epoch(train) [71][2100/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:57:24 time: 0.4432 data_time: 0.0427 memory: 4652 grad_norm: 2.8995 loss: 4.2943 loss_cls: 2.9039 loss_bbox: 1.3903 +2024/10/30 03:53:40 - mmengine - INFO - Epoch(train) [71][2150/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:57:02 time: 0.4057 data_time: 0.0371 memory: 4652 grad_norm: 3.1856 loss: 4.3492 loss_cls: 2.8916 loss_bbox: 1.4576 +2024/10/30 03:54:01 - mmengine - INFO - Epoch(train) [71][2200/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:56:40 time: 0.4248 data_time: 0.0390 memory: 4652 grad_norm: 3.0403 loss: 4.3020 loss_cls: 2.8752 loss_bbox: 1.4268 +2024/10/30 03:54:14 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 03:54:26 - mmengine - INFO - Epoch(train) [71][2250/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:56:21 time: 0.5014 data_time: 0.1228 memory: 4652 grad_norm: 3.0585 loss: 4.2796 loss_cls: 2.8732 loss_bbox: 1.4063 +2024/10/30 03:54:47 - mmengine - INFO - Epoch(train) [71][2300/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:55:59 time: 0.4140 data_time: 0.0380 memory: 4652 grad_norm: 3.1971 loss: 4.3002 loss_cls: 2.8456 loss_bbox: 1.4546 +2024/10/30 03:55:09 - mmengine - INFO - Epoch(train) [71][2350/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:55:38 time: 0.4330 data_time: 0.0369 memory: 4652 grad_norm: 2.9776 loss: 4.2496 loss_cls: 2.8495 loss_bbox: 1.4001 +2024/10/30 03:55:29 - mmengine - INFO - Epoch(train) [71][2400/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:55:15 time: 0.4051 data_time: 0.0403 memory: 4652 grad_norm: 2.8218 loss: 4.2867 loss_cls: 2.8644 loss_bbox: 1.4223 +2024/10/30 03:55:50 - mmengine - INFO - Epoch(train) [71][2450/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:54:54 time: 0.4277 data_time: 0.0369 memory: 4652 grad_norm: 3.0969 loss: 4.2984 loss_cls: 2.8749 loss_bbox: 1.4235 +2024/10/30 03:56:12 - mmengine - INFO - Epoch(train) [71][2500/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:54:32 time: 0.4245 data_time: 0.0458 memory: 4652 grad_norm: 3.0019 loss: 4.3305 loss_cls: 2.8891 loss_bbox: 1.4414 +2024/10/30 03:56:32 - mmengine - INFO - Epoch(train) [71][2550/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:54:10 time: 0.4187 data_time: 0.0474 memory: 4652 grad_norm: 2.9261 loss: 4.2280 loss_cls: 2.8249 loss_bbox: 1.4031 +2024/10/30 03:56:54 - mmengine - INFO - Epoch(train) [71][2600/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:53:49 time: 0.4360 data_time: 0.0384 memory: 4652 grad_norm: 2.9519 loss: 4.3433 loss_cls: 2.8660 loss_bbox: 1.4773 +2024/10/30 03:57:15 - mmengine - INFO - Epoch(train) [71][2650/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:53:27 time: 0.4114 data_time: 0.0389 memory: 4652 grad_norm: 2.8058 loss: 4.3254 loss_cls: 2.8534 loss_bbox: 1.4719 +2024/10/30 03:57:37 - mmengine - INFO - Epoch(train) [71][2700/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:53:06 time: 0.4369 data_time: 0.0386 memory: 4652 grad_norm: 3.0356 loss: 4.4007 loss_cls: 2.9778 loss_bbox: 1.4230 +2024/10/30 03:57:58 - mmengine - INFO - Epoch(train) [71][2750/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:52:44 time: 0.4165 data_time: 0.0378 memory: 4652 grad_norm: 2.7708 loss: 4.2118 loss_cls: 2.8039 loss_bbox: 1.4079 +2024/10/30 03:58:19 - mmengine - INFO - Epoch(train) [71][2800/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:52:22 time: 0.4240 data_time: 0.0415 memory: 4652 grad_norm: 2.8522 loss: 4.3826 loss_cls: 2.8968 loss_bbox: 1.4859 +2024/10/30 03:58:40 - mmengine - INFO - Epoch(train) [71][2850/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:52:01 time: 0.4298 data_time: 0.0415 memory: 4652 grad_norm: 3.0296 loss: 4.3473 loss_cls: 2.8962 loss_bbox: 1.4511 +2024/10/30 03:59:01 - mmengine - INFO - Epoch(train) [71][2900/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:51:39 time: 0.4155 data_time: 0.0383 memory: 4652 grad_norm: 2.7278 loss: 4.2254 loss_cls: 2.8456 loss_bbox: 1.3798 +2024/10/30 03:59:23 - mmengine - INFO - Epoch(train) [71][2950/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:51:18 time: 0.4348 data_time: 0.0433 memory: 4652 grad_norm: 2.7922 loss: 4.3432 loss_cls: 2.9178 loss_bbox: 1.4254 +2024/10/30 03:59:44 - mmengine - INFO - Epoch(train) [71][3000/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:50:56 time: 0.4129 data_time: 0.0378 memory: 4652 grad_norm: 3.3362 loss: 4.3090 loss_cls: 2.8726 loss_bbox: 1.4365 +2024/10/30 04:00:05 - mmengine - INFO - Epoch(train) [71][3050/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 17:50:34 time: 0.4196 data_time: 0.0398 memory: 4652 grad_norm: 3.3020 loss: 4.2451 loss_cls: 2.8244 loss_bbox: 1.4207 +2024/10/30 04:00:06 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 04:00:06 - mmengine - INFO - Saving checkpoint at 71 epochs +2024/10/30 04:00:35 - mmengine - INFO - Epoch(train) [72][ 50/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:50:11 time: 0.4442 data_time: 0.0641 memory: 4652 grad_norm: 3.0811 loss: 4.2242 loss_cls: 2.8395 loss_bbox: 1.3847 +2024/10/30 04:00:56 - mmengine - INFO - Epoch(train) [72][ 100/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:49:49 time: 0.4073 data_time: 0.0429 memory: 4652 grad_norm: 2.9322 loss: 4.2407 loss_cls: 2.8244 loss_bbox: 1.4164 +2024/10/30 04:01:16 - mmengine - INFO - Epoch(train) [72][ 150/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:49:27 time: 0.4146 data_time: 0.0417 memory: 4652 grad_norm: 2.9257 loss: 4.2101 loss_cls: 2.8480 loss_bbox: 1.3620 +2024/10/30 04:01:23 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 04:01:36 - mmengine - INFO - Epoch(train) [72][ 200/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:49:04 time: 0.4021 data_time: 0.0400 memory: 4652 grad_norm: 3.0285 loss: 4.2299 loss_cls: 2.7983 loss_bbox: 1.4316 +2024/10/30 04:01:57 - mmengine - INFO - Epoch(train) [72][ 250/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:48:43 time: 0.4165 data_time: 0.0400 memory: 4652 grad_norm: 2.7902 loss: 4.3011 loss_cls: 2.8682 loss_bbox: 1.4329 +2024/10/30 04:02:19 - mmengine - INFO - Epoch(train) [72][ 300/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:48:21 time: 0.4288 data_time: 0.0481 memory: 4652 grad_norm: 2.8096 loss: 4.3199 loss_cls: 2.8982 loss_bbox: 1.4217 +2024/10/30 04:02:39 - mmengine - INFO - Epoch(train) [72][ 350/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:47:59 time: 0.4133 data_time: 0.0430 memory: 4652 grad_norm: 2.8018 loss: 4.4248 loss_cls: 2.9470 loss_bbox: 1.4779 +2024/10/30 04:03:01 - mmengine - INFO - Epoch(train) [72][ 400/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:47:38 time: 0.4287 data_time: 0.0408 memory: 4652 grad_norm: 2.9264 loss: 4.2517 loss_cls: 2.8316 loss_bbox: 1.4200 +2024/10/30 04:03:22 - mmengine - INFO - Epoch(train) [72][ 450/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:47:16 time: 0.4169 data_time: 0.0413 memory: 4652 grad_norm: 3.2419 loss: 4.2150 loss_cls: 2.8089 loss_bbox: 1.4060 +2024/10/30 04:03:43 - mmengine - INFO - Epoch(train) [72][ 500/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:46:54 time: 0.4218 data_time: 0.0401 memory: 4652 grad_norm: 2.8524 loss: 4.2293 loss_cls: 2.8286 loss_bbox: 1.4007 +2024/10/30 04:04:03 - mmengine - INFO - Epoch(train) [72][ 550/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:46:31 time: 0.3992 data_time: 0.0444 memory: 4652 grad_norm: 2.6759 loss: 4.2969 loss_cls: 2.8681 loss_bbox: 1.4288 +2024/10/30 04:04:26 - mmengine - INFO - Epoch(train) [72][ 600/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:46:11 time: 0.4645 data_time: 0.0965 memory: 4652 grad_norm: 3.0000 loss: 4.3599 loss_cls: 2.8809 loss_bbox: 1.4790 +2024/10/30 04:04:47 - mmengine - INFO - Epoch(train) [72][ 650/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:45:50 time: 0.4220 data_time: 0.0439 memory: 4652 grad_norm: 3.0733 loss: 4.3295 loss_cls: 2.8839 loss_bbox: 1.4456 +2024/10/30 04:05:07 - mmengine - INFO - Epoch(train) [72][ 700/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:45:27 time: 0.4036 data_time: 0.0434 memory: 4652 grad_norm: 3.0596 loss: 4.3114 loss_cls: 2.8582 loss_bbox: 1.4532 +2024/10/30 04:05:29 - mmengine - INFO - Epoch(train) [72][ 750/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:45:06 time: 0.4320 data_time: 0.0475 memory: 4652 grad_norm: 2.9445 loss: 4.2718 loss_cls: 2.8750 loss_bbox: 1.3967 +2024/10/30 04:05:49 - mmengine - INFO - Epoch(train) [72][ 800/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:44:43 time: 0.4046 data_time: 0.0406 memory: 4652 grad_norm: 2.9797 loss: 4.3156 loss_cls: 2.8744 loss_bbox: 1.4412 +2024/10/30 04:06:10 - mmengine - INFO - Epoch(train) [72][ 850/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:44:22 time: 0.4183 data_time: 0.0412 memory: 4652 grad_norm: 2.7339 loss: 4.3685 loss_cls: 2.9092 loss_bbox: 1.4593 +2024/10/30 04:06:31 - mmengine - INFO - Epoch(train) [72][ 900/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:44:00 time: 0.4231 data_time: 0.0509 memory: 4652 grad_norm: 2.8899 loss: 4.3623 loss_cls: 2.9327 loss_bbox: 1.4297 +2024/10/30 04:06:52 - mmengine - INFO - Epoch(train) [72][ 950/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:43:38 time: 0.4108 data_time: 0.0431 memory: 4652 grad_norm: 2.8758 loss: 4.2782 loss_cls: 2.8818 loss_bbox: 1.3964 +2024/10/30 04:07:14 - mmengine - INFO - Epoch(train) [72][1000/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:43:17 time: 0.4332 data_time: 0.0393 memory: 4652 grad_norm: 3.0116 loss: 4.2731 loss_cls: 2.8290 loss_bbox: 1.4441 +2024/10/30 04:07:34 - mmengine - INFO - Epoch(train) [72][1050/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:42:54 time: 0.4122 data_time: 0.0408 memory: 4652 grad_norm: 2.9685 loss: 4.2619 loss_cls: 2.8446 loss_bbox: 1.4172 +2024/10/30 04:07:54 - mmengine - INFO - Epoch(train) [72][1100/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:42:32 time: 0.4062 data_time: 0.0384 memory: 4652 grad_norm: 2.9787 loss: 4.2792 loss_cls: 2.9014 loss_bbox: 1.3778 +2024/10/30 04:08:16 - mmengine - INFO - Epoch(train) [72][1150/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:42:10 time: 0.4215 data_time: 0.0387 memory: 4652 grad_norm: 2.9758 loss: 4.2254 loss_cls: 2.7961 loss_bbox: 1.4293 +2024/10/30 04:08:23 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 04:08:36 - mmengine - INFO - Epoch(train) [72][1200/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:41:48 time: 0.4102 data_time: 0.0385 memory: 4652 grad_norm: 3.1350 loss: 4.2905 loss_cls: 2.8681 loss_bbox: 1.4224 +2024/10/30 04:08:57 - mmengine - INFO - Epoch(train) [72][1250/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:41:27 time: 0.4256 data_time: 0.0461 memory: 4652 grad_norm: 2.9409 loss: 4.2926 loss_cls: 2.8584 loss_bbox: 1.4341 +2024/10/30 04:09:19 - mmengine - INFO - Epoch(train) [72][1300/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:41:05 time: 0.4229 data_time: 0.0516 memory: 4652 grad_norm: 3.3122 loss: 4.2093 loss_cls: 2.8293 loss_bbox: 1.3800 +2024/10/30 04:09:39 - mmengine - INFO - Epoch(train) [72][1350/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:40:43 time: 0.4118 data_time: 0.0410 memory: 4652 grad_norm: 2.8290 loss: 4.2212 loss_cls: 2.8417 loss_bbox: 1.3795 +2024/10/30 04:10:01 - mmengine - INFO - Epoch(train) [72][1400/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:40:22 time: 0.4298 data_time: 0.0408 memory: 4652 grad_norm: 2.7740 loss: 4.2305 loss_cls: 2.8282 loss_bbox: 1.4022 +2024/10/30 04:10:21 - mmengine - INFO - Epoch(train) [72][1450/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:39:59 time: 0.4063 data_time: 0.0400 memory: 4652 grad_norm: 3.0270 loss: 4.2932 loss_cls: 2.8374 loss_bbox: 1.4558 +2024/10/30 04:10:43 - mmengine - INFO - Epoch(train) [72][1500/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:39:38 time: 0.4328 data_time: 0.0449 memory: 4652 grad_norm: 2.8847 loss: 4.3123 loss_cls: 2.8807 loss_bbox: 1.4315 +2024/10/30 04:11:04 - mmengine - INFO - Epoch(train) [72][1550/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:39:16 time: 0.4229 data_time: 0.0456 memory: 4652 grad_norm: 3.1560 loss: 4.1316 loss_cls: 2.7590 loss_bbox: 1.3726 +2024/10/30 04:11:26 - mmengine - INFO - Epoch(train) [72][1600/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:38:55 time: 0.4437 data_time: 0.0700 memory: 4652 grad_norm: 2.8274 loss: 4.3050 loss_cls: 2.8681 loss_bbox: 1.4369 +2024/10/30 04:11:47 - mmengine - INFO - Epoch(train) [72][1650/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:38:34 time: 0.4201 data_time: 0.0411 memory: 4652 grad_norm: 2.9060 loss: 4.4639 loss_cls: 2.9235 loss_bbox: 1.5403 +2024/10/30 04:12:08 - mmengine - INFO - Epoch(train) [72][1700/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:38:12 time: 0.4213 data_time: 0.0391 memory: 4652 grad_norm: 2.8983 loss: 4.2823 loss_cls: 2.8473 loss_bbox: 1.4349 +2024/10/30 04:12:29 - mmengine - INFO - Epoch(train) [72][1750/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:37:50 time: 0.4160 data_time: 0.0390 memory: 4652 grad_norm: 2.8946 loss: 4.3499 loss_cls: 2.8969 loss_bbox: 1.4530 +2024/10/30 04:12:50 - mmengine - INFO - Epoch(train) [72][1800/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:37:28 time: 0.4144 data_time: 0.0403 memory: 4652 grad_norm: 3.0971 loss: 4.3370 loss_cls: 2.8897 loss_bbox: 1.4473 +2024/10/30 04:13:11 - mmengine - INFO - Epoch(train) [72][1850/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:37:06 time: 0.4262 data_time: 0.0456 memory: 4652 grad_norm: 2.9019 loss: 4.4039 loss_cls: 2.9435 loss_bbox: 1.4603 +2024/10/30 04:13:32 - mmengine - INFO - Epoch(train) [72][1900/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:36:45 time: 0.4229 data_time: 0.0434 memory: 4652 grad_norm: 3.0817 loss: 4.2582 loss_cls: 2.8409 loss_bbox: 1.4173 +2024/10/30 04:13:53 - mmengine - INFO - Epoch(train) [72][1950/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:36:23 time: 0.4169 data_time: 0.0395 memory: 4652 grad_norm: 3.0918 loss: 4.2320 loss_cls: 2.8376 loss_bbox: 1.3944 +2024/10/30 04:14:15 - mmengine - INFO - Epoch(train) [72][2000/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:36:01 time: 0.4291 data_time: 0.0466 memory: 4652 grad_norm: 2.9603 loss: 4.2816 loss_cls: 2.8676 loss_bbox: 1.4140 +2024/10/30 04:14:35 - mmengine - INFO - Epoch(train) [72][2050/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:35:39 time: 0.3998 data_time: 0.0394 memory: 4652 grad_norm: 3.0457 loss: 4.3171 loss_cls: 2.8936 loss_bbox: 1.4234 +2024/10/30 04:14:56 - mmengine - INFO - Epoch(train) [72][2100/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:35:17 time: 0.4165 data_time: 0.0408 memory: 4652 grad_norm: 3.0203 loss: 4.3603 loss_cls: 2.9376 loss_bbox: 1.4227 +2024/10/30 04:15:17 - mmengine - INFO - Epoch(train) [72][2150/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:34:55 time: 0.4198 data_time: 0.0447 memory: 4652 grad_norm: 2.8861 loss: 4.2797 loss_cls: 2.8590 loss_bbox: 1.4207 +2024/10/30 04:15:23 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 04:15:37 - mmengine - INFO - Epoch(train) [72][2200/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:34:33 time: 0.4140 data_time: 0.0403 memory: 4652 grad_norm: 3.1841 loss: 4.2721 loss_cls: 2.8645 loss_bbox: 1.4076 +2024/10/30 04:15:58 - mmengine - INFO - Epoch(train) [72][2250/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:34:11 time: 0.4147 data_time: 0.0382 memory: 4652 grad_norm: 3.0432 loss: 4.2229 loss_cls: 2.8631 loss_bbox: 1.3598 +2024/10/30 04:16:18 - mmengine - INFO - Epoch(train) [72][2300/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:33:49 time: 0.4101 data_time: 0.0391 memory: 4652 grad_norm: 3.0361 loss: 4.3527 loss_cls: 2.9143 loss_bbox: 1.4384 +2024/10/30 04:16:39 - mmengine - INFO - Epoch(train) [72][2350/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:33:27 time: 0.4166 data_time: 0.0388 memory: 4652 grad_norm: 3.1845 loss: 4.1828 loss_cls: 2.7871 loss_bbox: 1.3957 +2024/10/30 04:17:00 - mmengine - INFO - Epoch(train) [72][2400/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:33:06 time: 0.4225 data_time: 0.0393 memory: 4652 grad_norm: 2.9971 loss: 4.2580 loss_cls: 2.8378 loss_bbox: 1.4202 +2024/10/30 04:17:21 - mmengine - INFO - Epoch(train) [72][2450/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:32:44 time: 0.4150 data_time: 0.0453 memory: 4652 grad_norm: 3.1226 loss: 4.3618 loss_cls: 2.9223 loss_bbox: 1.4395 +2024/10/30 04:17:42 - mmengine - INFO - Epoch(train) [72][2500/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:32:22 time: 0.4246 data_time: 0.0376 memory: 4652 grad_norm: 3.1915 loss: 4.2626 loss_cls: 2.8303 loss_bbox: 1.4323 +2024/10/30 04:18:04 - mmengine - INFO - Epoch(train) [72][2550/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:32:01 time: 0.4275 data_time: 0.0453 memory: 4652 grad_norm: 2.9538 loss: 4.2619 loss_cls: 2.8356 loss_bbox: 1.4263 +2024/10/30 04:18:26 - mmengine - INFO - Epoch(train) [72][2600/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:31:40 time: 0.4451 data_time: 0.0759 memory: 4652 grad_norm: 2.8647 loss: 4.3722 loss_cls: 2.9070 loss_bbox: 1.4651 +2024/10/30 04:18:47 - mmengine - INFO - Epoch(train) [72][2650/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:31:18 time: 0.4222 data_time: 0.0428 memory: 4652 grad_norm: 2.9441 loss: 4.2955 loss_cls: 2.8609 loss_bbox: 1.4345 +2024/10/30 04:19:08 - mmengine - INFO - Epoch(train) [72][2700/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:30:56 time: 0.4076 data_time: 0.0400 memory: 4652 grad_norm: 2.8306 loss: 4.2413 loss_cls: 2.8386 loss_bbox: 1.4027 +2024/10/30 04:19:29 - mmengine - INFO - Epoch(train) [72][2750/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:30:34 time: 0.4168 data_time: 0.0513 memory: 4652 grad_norm: 2.7915 loss: 4.2167 loss_cls: 2.8491 loss_bbox: 1.3676 +2024/10/30 04:19:49 - mmengine - INFO - Epoch(train) [72][2800/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:30:12 time: 0.4107 data_time: 0.0388 memory: 4652 grad_norm: 3.1130 loss: 4.3590 loss_cls: 2.9179 loss_bbox: 1.4410 +2024/10/30 04:20:10 - mmengine - INFO - Epoch(train) [72][2850/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:29:50 time: 0.4096 data_time: 0.0392 memory: 4652 grad_norm: 3.1922 loss: 4.2852 loss_cls: 2.8370 loss_bbox: 1.4482 +2024/10/30 04:20:30 - mmengine - INFO - Epoch(train) [72][2900/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:29:28 time: 0.4158 data_time: 0.0396 memory: 4652 grad_norm: 3.1373 loss: 4.2875 loss_cls: 2.8548 loss_bbox: 1.4327 +2024/10/30 04:20:50 - mmengine - INFO - Epoch(train) [72][2950/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:29:05 time: 0.4012 data_time: 0.0399 memory: 4652 grad_norm: 2.9138 loss: 4.2595 loss_cls: 2.8635 loss_bbox: 1.3959 +2024/10/30 04:21:12 - mmengine - INFO - Epoch(train) [72][3000/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:28:44 time: 0.4291 data_time: 0.0466 memory: 4652 grad_norm: 2.9315 loss: 4.3636 loss_cls: 2.8801 loss_bbox: 1.4835 +2024/10/30 04:21:33 - mmengine - INFO - Epoch(train) [72][3050/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 17:28:22 time: 0.4118 data_time: 0.0435 memory: 4652 grad_norm: 2.8382 loss: 4.2450 loss_cls: 2.8444 loss_bbox: 1.4007 +2024/10/30 04:21:34 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 04:21:34 - mmengine - INFO - Saving checkpoint at 72 epochs +2024/10/30 04:22:01 - mmengine - INFO - Epoch(train) [73][ 50/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:27:59 time: 0.4307 data_time: 0.0534 memory: 4652 grad_norm: 3.1491 loss: 4.2628 loss_cls: 2.8582 loss_bbox: 1.4046 +2024/10/30 04:22:23 - mmengine - INFO - Epoch(train) [73][ 100/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:27:38 time: 0.4440 data_time: 0.0403 memory: 4652 grad_norm: 2.9486 loss: 4.2428 loss_cls: 2.8339 loss_bbox: 1.4089 +2024/10/30 04:22:28 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 04:22:44 - mmengine - INFO - Epoch(train) [73][ 150/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:27:16 time: 0.4146 data_time: 0.0380 memory: 4652 grad_norm: 3.1343 loss: 4.2866 loss_cls: 2.8677 loss_bbox: 1.4190 +2024/10/30 04:23:05 - mmengine - INFO - Epoch(train) [73][ 200/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:26:54 time: 0.4339 data_time: 0.0383 memory: 4652 grad_norm: 2.8650 loss: 4.3156 loss_cls: 2.8768 loss_bbox: 1.4388 +2024/10/30 04:23:28 - mmengine - INFO - Epoch(train) [73][ 250/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:26:34 time: 0.4507 data_time: 0.0651 memory: 4652 grad_norm: 3.0057 loss: 4.2078 loss_cls: 2.8382 loss_bbox: 1.3696 +2024/10/30 04:23:49 - mmengine - INFO - Epoch(train) [73][ 300/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:26:12 time: 0.4249 data_time: 0.0380 memory: 4652 grad_norm: 2.9403 loss: 4.3757 loss_cls: 2.9156 loss_bbox: 1.4602 +2024/10/30 04:24:11 - mmengine - INFO - Epoch(train) [73][ 350/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:25:51 time: 0.4387 data_time: 0.0400 memory: 4652 grad_norm: 3.0577 loss: 4.2530 loss_cls: 2.8111 loss_bbox: 1.4419 +2024/10/30 04:24:33 - mmengine - INFO - Epoch(train) [73][ 400/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:25:30 time: 0.4299 data_time: 0.0416 memory: 4652 grad_norm: 3.1316 loss: 4.3418 loss_cls: 2.9005 loss_bbox: 1.4413 +2024/10/30 04:24:54 - mmengine - INFO - Epoch(train) [73][ 450/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:25:08 time: 0.4230 data_time: 0.0386 memory: 4652 grad_norm: 3.0948 loss: 4.2562 loss_cls: 2.8373 loss_bbox: 1.4189 +2024/10/30 04:25:15 - mmengine - INFO - Epoch(train) [73][ 500/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:24:46 time: 0.4239 data_time: 0.0495 memory: 4652 grad_norm: 2.7706 loss: 4.2693 loss_cls: 2.8598 loss_bbox: 1.4095 +2024/10/30 04:25:36 - mmengine - INFO - Epoch(train) [73][ 550/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:24:24 time: 0.4145 data_time: 0.0379 memory: 4652 grad_norm: 3.1684 loss: 4.2131 loss_cls: 2.8183 loss_bbox: 1.3948 +2024/10/30 04:25:58 - mmengine - INFO - Epoch(train) [73][ 600/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:24:03 time: 0.4408 data_time: 0.0374 memory: 4652 grad_norm: 3.1602 loss: 4.2784 loss_cls: 2.8365 loss_bbox: 1.4420 +2024/10/30 04:26:19 - mmengine - INFO - Epoch(train) [73][ 650/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:23:42 time: 0.4281 data_time: 0.0408 memory: 4652 grad_norm: 2.9555 loss: 4.2759 loss_cls: 2.8669 loss_bbox: 1.4090 +2024/10/30 04:26:40 - mmengine - INFO - Epoch(train) [73][ 700/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:23:20 time: 0.4255 data_time: 0.0382 memory: 4652 grad_norm: 3.2661 loss: 4.2418 loss_cls: 2.8117 loss_bbox: 1.4301 +2024/10/30 04:27:01 - mmengine - INFO - Epoch(train) [73][ 750/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:22:58 time: 0.4209 data_time: 0.0379 memory: 4652 grad_norm: 3.1384 loss: 4.2599 loss_cls: 2.8561 loss_bbox: 1.4038 +2024/10/30 04:27:23 - mmengine - INFO - Epoch(train) [73][ 800/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:22:37 time: 0.4210 data_time: 0.0376 memory: 4652 grad_norm: 2.8466 loss: 4.2532 loss_cls: 2.7990 loss_bbox: 1.4542 +2024/10/30 04:27:45 - mmengine - INFO - Epoch(train) [73][ 850/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:22:16 time: 0.4514 data_time: 0.0387 memory: 4652 grad_norm: 3.0229 loss: 4.2335 loss_cls: 2.8358 loss_bbox: 1.3976 +2024/10/30 04:28:07 - mmengine - INFO - Epoch(train) [73][ 900/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:21:55 time: 0.4340 data_time: 0.0450 memory: 4652 grad_norm: 3.0953 loss: 4.2888 loss_cls: 2.8687 loss_bbox: 1.4201 +2024/10/30 04:28:29 - mmengine - INFO - Epoch(train) [73][ 950/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:21:34 time: 0.4397 data_time: 0.0419 memory: 4652 grad_norm: 3.0031 loss: 4.2087 loss_cls: 2.7919 loss_bbox: 1.4168 +2024/10/30 04:28:50 - mmengine - INFO - Epoch(train) [73][1000/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:21:12 time: 0.4298 data_time: 0.0431 memory: 4652 grad_norm: 2.9384 loss: 4.3160 loss_cls: 2.8714 loss_bbox: 1.4446 +2024/10/30 04:29:12 - mmengine - INFO - Epoch(train) [73][1050/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:20:51 time: 0.4341 data_time: 0.0428 memory: 4652 grad_norm: 2.9124 loss: 4.2692 loss_cls: 2.8636 loss_bbox: 1.4056 +2024/10/30 04:29:35 - mmengine - INFO - Epoch(train) [73][1100/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:20:30 time: 0.4514 data_time: 0.0376 memory: 4652 grad_norm: 2.7979 loss: 4.3262 loss_cls: 2.8980 loss_bbox: 1.4282 +2024/10/30 04:29:40 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 04:29:56 - mmengine - INFO - Epoch(train) [73][1150/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:20:09 time: 0.4266 data_time: 0.0374 memory: 4652 grad_norm: 3.0456 loss: 4.3122 loss_cls: 2.8810 loss_bbox: 1.4313 +2024/10/30 04:30:18 - mmengine - INFO - Epoch(train) [73][1200/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:19:48 time: 0.4394 data_time: 0.0417 memory: 4652 grad_norm: 3.0716 loss: 4.3282 loss_cls: 2.8771 loss_bbox: 1.4511 +2024/10/30 04:30:40 - mmengine - INFO - Epoch(train) [73][1250/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:19:26 time: 0.4310 data_time: 0.0425 memory: 4652 grad_norm: 2.8613 loss: 4.2961 loss_cls: 2.8582 loss_bbox: 1.4379 +2024/10/30 04:31:01 - mmengine - INFO - Epoch(train) [73][1300/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:19:05 time: 0.4365 data_time: 0.0462 memory: 4652 grad_norm: 2.9757 loss: 4.2708 loss_cls: 2.8097 loss_bbox: 1.4611 +2024/10/30 04:31:27 - mmengine - INFO - Epoch(train) [73][1350/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:18:46 time: 0.5171 data_time: 0.1226 memory: 4652 grad_norm: 3.2688 loss: 4.3376 loss_cls: 2.9022 loss_bbox: 1.4354 +2024/10/30 04:31:48 - mmengine - INFO - Epoch(train) [73][1400/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:18:25 time: 0.4204 data_time: 0.0373 memory: 4652 grad_norm: 2.9664 loss: 4.2406 loss_cls: 2.8459 loss_bbox: 1.3947 +2024/10/30 04:32:10 - mmengine - INFO - Epoch(train) [73][1450/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:18:04 time: 0.4429 data_time: 0.0386 memory: 4652 grad_norm: 3.1344 loss: 4.2356 loss_cls: 2.8581 loss_bbox: 1.3775 +2024/10/30 04:32:32 - mmengine - INFO - Epoch(train) [73][1500/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:17:42 time: 0.4211 data_time: 0.0374 memory: 4652 grad_norm: 3.2052 loss: 4.2715 loss_cls: 2.8605 loss_bbox: 1.4110 +2024/10/30 04:32:53 - mmengine - INFO - Epoch(train) [73][1550/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:17:21 time: 0.4322 data_time: 0.0392 memory: 4652 grad_norm: 3.0005 loss: 4.1853 loss_cls: 2.8227 loss_bbox: 1.3625 +2024/10/30 04:33:15 - mmengine - INFO - Epoch(train) [73][1600/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:16:59 time: 0.4362 data_time: 0.0361 memory: 4652 grad_norm: 2.8733 loss: 4.1880 loss_cls: 2.8026 loss_bbox: 1.3854 +2024/10/30 04:33:36 - mmengine - INFO - Epoch(train) [73][1650/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:16:38 time: 0.4258 data_time: 0.0351 memory: 4652 grad_norm: 2.8679 loss: 4.2929 loss_cls: 2.8960 loss_bbox: 1.3969 +2024/10/30 04:33:58 - mmengine - INFO - Epoch(train) [73][1700/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:16:17 time: 0.4364 data_time: 0.0383 memory: 4652 grad_norm: 3.0804 loss: 4.2713 loss_cls: 2.8376 loss_bbox: 1.4337 +2024/10/30 04:34:20 - mmengine - INFO - Epoch(train) [73][1750/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:15:55 time: 0.4324 data_time: 0.0483 memory: 4652 grad_norm: 2.8655 loss: 4.1082 loss_cls: 2.7614 loss_bbox: 1.3468 +2024/10/30 04:34:42 - mmengine - INFO - Epoch(train) [73][1800/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:15:34 time: 0.4350 data_time: 0.0371 memory: 4652 grad_norm: 3.0329 loss: 4.2821 loss_cls: 2.8527 loss_bbox: 1.4294 +2024/10/30 04:35:04 - mmengine - INFO - Epoch(train) [73][1850/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:15:13 time: 0.4490 data_time: 0.0421 memory: 4652 grad_norm: 3.0610 loss: 4.2988 loss_cls: 2.8757 loss_bbox: 1.4230 +2024/10/30 04:35:28 - mmengine - INFO - Epoch(train) [73][1900/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:14:54 time: 0.4842 data_time: 0.0951 memory: 4652 grad_norm: 3.0363 loss: 4.2114 loss_cls: 2.8043 loss_bbox: 1.4071 +2024/10/30 04:35:50 - mmengine - INFO - Epoch(train) [73][1950/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:14:32 time: 0.4317 data_time: 0.0352 memory: 4652 grad_norm: 3.0518 loss: 4.1237 loss_cls: 2.7729 loss_bbox: 1.3508 +2024/10/30 04:36:12 - mmengine - INFO - Epoch(train) [73][2000/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:14:11 time: 0.4336 data_time: 0.0371 memory: 4652 grad_norm: 3.0784 loss: 4.1478 loss_cls: 2.7319 loss_bbox: 1.4159 +2024/10/30 04:36:33 - mmengine - INFO - Epoch(train) [73][2050/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:13:50 time: 0.4357 data_time: 0.0378 memory: 4652 grad_norm: 2.7684 loss: 4.1680 loss_cls: 2.7814 loss_bbox: 1.3866 +2024/10/30 04:36:55 - mmengine - INFO - Epoch(train) [73][2100/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:13:29 time: 0.4367 data_time: 0.0402 memory: 4652 grad_norm: 2.7526 loss: 4.3154 loss_cls: 2.8654 loss_bbox: 1.4499 +2024/10/30 04:37:00 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 04:37:17 - mmengine - INFO - Epoch(train) [73][2150/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:13:07 time: 0.4324 data_time: 0.0384 memory: 4652 grad_norm: 3.2188 loss: 4.2824 loss_cls: 2.8922 loss_bbox: 1.3902 +2024/10/30 04:37:38 - mmengine - INFO - Epoch(train) [73][2200/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:12:46 time: 0.4267 data_time: 0.0423 memory: 4652 grad_norm: 2.9502 loss: 4.2731 loss_cls: 2.8374 loss_bbox: 1.4357 +2024/10/30 04:38:00 - mmengine - INFO - Epoch(train) [73][2250/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:12:24 time: 0.4340 data_time: 0.0458 memory: 4652 grad_norm: 3.0056 loss: 4.1833 loss_cls: 2.8165 loss_bbox: 1.3668 +2024/10/30 04:38:21 - mmengine - INFO - Epoch(train) [73][2300/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:12:03 time: 0.4252 data_time: 0.0422 memory: 4652 grad_norm: 2.7637 loss: 4.3351 loss_cls: 2.8834 loss_bbox: 1.4517 +2024/10/30 04:38:43 - mmengine - INFO - Epoch(train) [73][2350/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:11:42 time: 0.4383 data_time: 0.0479 memory: 4652 grad_norm: 2.9897 loss: 4.1900 loss_cls: 2.8267 loss_bbox: 1.3633 +2024/10/30 04:39:04 - mmengine - INFO - Epoch(train) [73][2400/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:11:20 time: 0.4246 data_time: 0.0394 memory: 4652 grad_norm: 2.9373 loss: 4.2614 loss_cls: 2.8634 loss_bbox: 1.3980 +2024/10/30 04:39:25 - mmengine - INFO - Epoch(train) [73][2450/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:10:58 time: 0.4143 data_time: 0.0429 memory: 4652 grad_norm: 3.1682 loss: 4.3492 loss_cls: 2.9195 loss_bbox: 1.4297 +2024/10/30 04:39:47 - mmengine - INFO - Epoch(train) [73][2500/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:10:37 time: 0.4414 data_time: 0.0538 memory: 4652 grad_norm: 2.9497 loss: 4.1814 loss_cls: 2.8016 loss_bbox: 1.3798 +2024/10/30 04:40:09 - mmengine - INFO - Epoch(train) [73][2550/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:10:15 time: 0.4249 data_time: 0.0407 memory: 4652 grad_norm: 3.0765 loss: 4.1876 loss_cls: 2.8355 loss_bbox: 1.3521 +2024/10/30 04:40:30 - mmengine - INFO - Epoch(train) [73][2600/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:09:54 time: 0.4370 data_time: 0.0423 memory: 4652 grad_norm: 3.2424 loss: 4.2608 loss_cls: 2.8648 loss_bbox: 1.3960 +2024/10/30 04:40:52 - mmengine - INFO - Epoch(train) [73][2650/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:09:33 time: 0.4399 data_time: 0.0461 memory: 4652 grad_norm: 2.9904 loss: 4.1905 loss_cls: 2.8050 loss_bbox: 1.3855 +2024/10/30 04:41:13 - mmengine - INFO - Epoch(train) [73][2700/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:09:11 time: 0.4167 data_time: 0.0365 memory: 4652 grad_norm: 3.0507 loss: 4.3623 loss_cls: 2.9118 loss_bbox: 1.4505 +2024/10/30 04:41:36 - mmengine - INFO - Epoch(train) [73][2750/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:08:50 time: 0.4504 data_time: 0.0424 memory: 4652 grad_norm: 3.2306 loss: 4.2437 loss_cls: 2.8534 loss_bbox: 1.3903 +2024/10/30 04:41:57 - mmengine - INFO - Epoch(train) [73][2800/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:08:29 time: 0.4258 data_time: 0.0501 memory: 4652 grad_norm: 3.2249 loss: 4.3634 loss_cls: 2.8949 loss_bbox: 1.4686 +2024/10/30 04:42:19 - mmengine - INFO - Epoch(train) [73][2850/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:08:08 time: 0.4343 data_time: 0.0466 memory: 4652 grad_norm: 3.0127 loss: 4.2968 loss_cls: 2.8940 loss_bbox: 1.4029 +2024/10/30 04:42:41 - mmengine - INFO - Epoch(train) [73][2900/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:07:46 time: 0.4314 data_time: 0.0387 memory: 4652 grad_norm: 2.8532 loss: 4.1598 loss_cls: 2.7787 loss_bbox: 1.3810 +2024/10/30 04:43:02 - mmengine - INFO - Epoch(train) [73][2950/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:07:25 time: 0.4221 data_time: 0.0398 memory: 4652 grad_norm: 3.1054 loss: 4.3572 loss_cls: 2.9086 loss_bbox: 1.4487 +2024/10/30 04:43:27 - mmengine - INFO - Epoch(train) [73][3000/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:07:06 time: 0.5123 data_time: 0.1254 memory: 4652 grad_norm: 3.0023 loss: 4.2865 loss_cls: 2.8627 loss_bbox: 1.4238 +2024/10/30 04:43:48 - mmengine - INFO - Epoch(train) [73][3050/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 17:06:44 time: 0.4132 data_time: 0.0379 memory: 4652 grad_norm: 2.7824 loss: 4.2331 loss_cls: 2.8310 loss_bbox: 1.4021 +2024/10/30 04:43:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 04:43:49 - mmengine - INFO - Saving checkpoint at 73 epochs +2024/10/30 04:44:17 - mmengine - INFO - Epoch(train) [74][ 50/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:06:21 time: 0.4465 data_time: 0.0537 memory: 4652 grad_norm: 2.9476 loss: 4.3309 loss_cls: 2.8841 loss_bbox: 1.4468 +2024/10/30 04:44:20 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 04:44:38 - mmengine - INFO - Epoch(train) [74][ 100/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:06:00 time: 0.4331 data_time: 0.0394 memory: 4652 grad_norm: 2.9409 loss: 4.3262 loss_cls: 2.8872 loss_bbox: 1.4390 +2024/10/30 04:44:59 - mmengine - INFO - Epoch(train) [74][ 150/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:05:38 time: 0.4101 data_time: 0.0361 memory: 4652 grad_norm: 3.1494 loss: 4.3413 loss_cls: 2.8664 loss_bbox: 1.4749 +2024/10/30 04:45:21 - mmengine - INFO - Epoch(train) [74][ 200/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:05:16 time: 0.4371 data_time: 0.0432 memory: 4652 grad_norm: 3.1087 loss: 4.2722 loss_cls: 2.8540 loss_bbox: 1.4182 +2024/10/30 04:45:41 - mmengine - INFO - Epoch(train) [74][ 250/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:04:54 time: 0.4083 data_time: 0.0378 memory: 4652 grad_norm: 3.1034 loss: 4.2482 loss_cls: 2.8229 loss_bbox: 1.4253 +2024/10/30 04:46:02 - mmengine - INFO - Epoch(train) [74][ 300/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:04:33 time: 0.4187 data_time: 0.0376 memory: 4652 grad_norm: 2.8473 loss: 4.2110 loss_cls: 2.8196 loss_bbox: 1.3914 +2024/10/30 04:46:27 - mmengine - INFO - Epoch(train) [74][ 350/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:04:14 time: 0.5051 data_time: 0.1286 memory: 4652 grad_norm: 3.1749 loss: 4.1783 loss_cls: 2.8209 loss_bbox: 1.3574 +2024/10/30 04:46:48 - mmengine - INFO - Epoch(train) [74][ 400/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:03:52 time: 0.4185 data_time: 0.0458 memory: 4652 grad_norm: 3.0501 loss: 4.2761 loss_cls: 2.8444 loss_bbox: 1.4317 +2024/10/30 04:47:10 - mmengine - INFO - Epoch(train) [74][ 450/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:03:30 time: 0.4330 data_time: 0.0419 memory: 4652 grad_norm: 3.2510 loss: 4.3188 loss_cls: 2.9165 loss_bbox: 1.4023 +2024/10/30 04:47:30 - mmengine - INFO - Epoch(train) [74][ 500/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:03:08 time: 0.4080 data_time: 0.0381 memory: 4652 grad_norm: 3.0010 loss: 4.2780 loss_cls: 2.8666 loss_bbox: 1.4114 +2024/10/30 04:47:51 - mmengine - INFO - Epoch(train) [74][ 550/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:02:46 time: 0.4193 data_time: 0.0458 memory: 4652 grad_norm: 2.9032 loss: 4.1947 loss_cls: 2.8237 loss_bbox: 1.3710 +2024/10/30 04:48:12 - mmengine - INFO - Epoch(train) [74][ 600/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:02:25 time: 0.4214 data_time: 0.0381 memory: 4652 grad_norm: 3.1449 loss: 4.2652 loss_cls: 2.8625 loss_bbox: 1.4026 +2024/10/30 04:48:33 - mmengine - INFO - Epoch(train) [74][ 650/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:02:03 time: 0.4143 data_time: 0.0439 memory: 4652 grad_norm: 3.0588 loss: 4.2121 loss_cls: 2.7909 loss_bbox: 1.4213 +2024/10/30 04:48:55 - mmengine - INFO - Epoch(train) [74][ 700/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:01:41 time: 0.4299 data_time: 0.0478 memory: 4652 grad_norm: 2.8969 loss: 4.2097 loss_cls: 2.8352 loss_bbox: 1.3745 +2024/10/30 04:49:15 - mmengine - INFO - Epoch(train) [74][ 750/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:01:19 time: 0.4100 data_time: 0.0472 memory: 4652 grad_norm: 3.0088 loss: 4.3294 loss_cls: 2.8900 loss_bbox: 1.4395 +2024/10/30 04:49:36 - mmengine - INFO - Epoch(train) [74][ 800/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:00:58 time: 0.4227 data_time: 0.0510 memory: 4652 grad_norm: 2.9778 loss: 4.3302 loss_cls: 2.9089 loss_bbox: 1.4213 +2024/10/30 04:49:57 - mmengine - INFO - Epoch(train) [74][ 850/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:00:36 time: 0.4163 data_time: 0.0434 memory: 4652 grad_norm: 3.0772 loss: 4.3034 loss_cls: 2.8630 loss_bbox: 1.4404 +2024/10/30 04:50:18 - mmengine - INFO - Epoch(train) [74][ 900/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 17:00:14 time: 0.4069 data_time: 0.0426 memory: 4652 grad_norm: 2.9520 loss: 4.2573 loss_cls: 2.8454 loss_bbox: 1.4119 +2024/10/30 04:50:40 - mmengine - INFO - Epoch(train) [74][ 950/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:59:53 time: 0.4487 data_time: 0.0519 memory: 4652 grad_norm: 3.2469 loss: 4.1535 loss_cls: 2.8039 loss_bbox: 1.3497 +2024/10/30 04:51:01 - mmengine - INFO - Epoch(train) [74][1000/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:59:31 time: 0.4120 data_time: 0.0466 memory: 4652 grad_norm: 3.1010 loss: 4.2492 loss_cls: 2.8528 loss_bbox: 1.3964 +2024/10/30 04:51:22 - mmengine - INFO - Epoch(train) [74][1050/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:59:09 time: 0.4219 data_time: 0.0406 memory: 4652 grad_norm: 3.0421 loss: 4.3115 loss_cls: 2.8695 loss_bbox: 1.4421 +2024/10/30 04:51:25 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 04:51:42 - mmengine - INFO - Epoch(train) [74][1100/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:58:47 time: 0.4114 data_time: 0.0409 memory: 4652 grad_norm: 2.9228 loss: 4.2643 loss_cls: 2.8484 loss_bbox: 1.4159 +2024/10/30 04:52:03 - mmengine - INFO - Epoch(train) [74][1150/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:58:25 time: 0.4106 data_time: 0.0415 memory: 4652 grad_norm: 2.9934 loss: 4.2536 loss_cls: 2.8489 loss_bbox: 1.4047 +2024/10/30 04:52:26 - mmengine - INFO - Epoch(train) [74][1200/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:58:05 time: 0.4727 data_time: 0.0956 memory: 4652 grad_norm: 3.0552 loss: 4.2099 loss_cls: 2.8239 loss_bbox: 1.3860 +2024/10/30 04:52:47 - mmengine - INFO - Epoch(train) [74][1250/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:57:43 time: 0.4118 data_time: 0.0437 memory: 4652 grad_norm: 2.9324 loss: 4.2463 loss_cls: 2.8247 loss_bbox: 1.4216 +2024/10/30 04:53:08 - mmengine - INFO - Epoch(train) [74][1300/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:57:21 time: 0.4268 data_time: 0.0415 memory: 4652 grad_norm: 3.1814 loss: 4.2452 loss_cls: 2.8472 loss_bbox: 1.3980 +2024/10/30 04:53:29 - mmengine - INFO - Epoch(train) [74][1350/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:56:59 time: 0.4109 data_time: 0.0404 memory: 4652 grad_norm: 3.0047 loss: 4.2558 loss_cls: 2.8116 loss_bbox: 1.4442 +2024/10/30 04:53:49 - mmengine - INFO - Epoch(train) [74][1400/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:56:37 time: 0.4076 data_time: 0.0400 memory: 4652 grad_norm: 3.0376 loss: 4.2029 loss_cls: 2.8561 loss_bbox: 1.3469 +2024/10/30 04:54:11 - mmengine - INFO - Epoch(train) [74][1450/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:56:16 time: 0.4273 data_time: 0.0395 memory: 4652 grad_norm: 2.9936 loss: 4.2104 loss_cls: 2.8554 loss_bbox: 1.3550 +2024/10/30 04:54:31 - mmengine - INFO - Epoch(train) [74][1500/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:55:53 time: 0.4070 data_time: 0.0439 memory: 4652 grad_norm: 2.9097 loss: 4.2861 loss_cls: 2.8775 loss_bbox: 1.4087 +2024/10/30 04:54:52 - mmengine - INFO - Epoch(train) [74][1550/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:55:32 time: 0.4191 data_time: 0.0465 memory: 4652 grad_norm: 3.0441 loss: 4.3178 loss_cls: 2.9092 loss_bbox: 1.4086 +2024/10/30 04:55:12 - mmengine - INFO - Epoch(train) [74][1600/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:55:09 time: 0.4063 data_time: 0.0391 memory: 4652 grad_norm: 2.8588 loss: 4.2876 loss_cls: 2.8878 loss_bbox: 1.3998 +2024/10/30 04:55:33 - mmengine - INFO - Epoch(train) [74][1650/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:54:47 time: 0.4099 data_time: 0.0432 memory: 4652 grad_norm: 3.0173 loss: 4.2348 loss_cls: 2.8300 loss_bbox: 1.4048 +2024/10/30 04:55:54 - mmengine - INFO - Epoch(train) [74][1700/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:54:25 time: 0.4134 data_time: 0.0430 memory: 4652 grad_norm: 3.0447 loss: 4.1304 loss_cls: 2.7579 loss_bbox: 1.3725 +2024/10/30 04:56:14 - mmengine - INFO - Epoch(train) [74][1750/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:54:03 time: 0.4038 data_time: 0.0407 memory: 4652 grad_norm: 3.0482 loss: 4.2562 loss_cls: 2.8194 loss_bbox: 1.4368 +2024/10/30 04:56:34 - mmengine - INFO - Epoch(train) [74][1800/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:53:41 time: 0.4026 data_time: 0.0461 memory: 4652 grad_norm: 3.2438 loss: 4.3595 loss_cls: 2.8705 loss_bbox: 1.4890 +2024/10/30 04:56:55 - mmengine - INFO - Epoch(train) [74][1850/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:53:19 time: 0.4172 data_time: 0.0449 memory: 4652 grad_norm: 3.0500 loss: 4.3116 loss_cls: 2.8708 loss_bbox: 1.4408 +2024/10/30 04:57:15 - mmengine - INFO - Epoch(train) [74][1900/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:52:57 time: 0.4086 data_time: 0.0417 memory: 4652 grad_norm: 3.1109 loss: 4.3287 loss_cls: 2.8874 loss_bbox: 1.4413 +2024/10/30 04:57:36 - mmengine - INFO - Epoch(train) [74][1950/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:52:35 time: 0.4101 data_time: 0.0424 memory: 4652 grad_norm: 3.1172 loss: 4.2793 loss_cls: 2.8833 loss_bbox: 1.3960 +2024/10/30 04:57:56 - mmengine - INFO - Epoch(train) [74][2000/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:52:13 time: 0.4103 data_time: 0.0427 memory: 4652 grad_norm: 3.0332 loss: 4.3457 loss_cls: 2.9064 loss_bbox: 1.4393 +2024/10/30 04:58:17 - mmengine - INFO - Epoch(train) [74][2050/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:51:51 time: 0.4087 data_time: 0.0439 memory: 4652 grad_norm: 3.1422 loss: 4.2232 loss_cls: 2.8187 loss_bbox: 1.4045 +2024/10/30 04:58:20 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 04:58:37 - mmengine - INFO - Epoch(train) [74][2100/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:51:28 time: 0.4087 data_time: 0.0424 memory: 4652 grad_norm: 2.8171 loss: 4.3120 loss_cls: 2.8773 loss_bbox: 1.4347 +2024/10/30 04:58:57 - mmengine - INFO - Epoch(train) [74][2150/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:51:06 time: 0.3985 data_time: 0.0435 memory: 4652 grad_norm: 2.8463 loss: 4.2779 loss_cls: 2.8378 loss_bbox: 1.4401 +2024/10/30 04:59:18 - mmengine - INFO - Epoch(train) [74][2200/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:50:44 time: 0.4153 data_time: 0.0392 memory: 4652 grad_norm: 3.0346 loss: 4.3056 loss_cls: 2.8607 loss_bbox: 1.4448 +2024/10/30 04:59:38 - mmengine - INFO - Epoch(train) [74][2250/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:50:22 time: 0.3995 data_time: 0.0465 memory: 4652 grad_norm: 2.9857 loss: 4.2372 loss_cls: 2.8603 loss_bbox: 1.3769 +2024/10/30 04:59:58 - mmengine - INFO - Epoch(train) [74][2300/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:49:59 time: 0.3992 data_time: 0.0401 memory: 4652 grad_norm: 3.2410 loss: 4.2702 loss_cls: 2.8614 loss_bbox: 1.4087 +2024/10/30 05:00:18 - mmengine - INFO - Epoch(train) [74][2350/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:49:37 time: 0.4089 data_time: 0.0400 memory: 4652 grad_norm: 3.0132 loss: 4.3268 loss_cls: 2.8917 loss_bbox: 1.4351 +2024/10/30 05:00:38 - mmengine - INFO - Epoch(train) [74][2400/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:49:15 time: 0.3955 data_time: 0.0425 memory: 4652 grad_norm: 3.0500 loss: 4.3073 loss_cls: 2.8384 loss_bbox: 1.4689 +2024/10/30 05:00:59 - mmengine - INFO - Epoch(train) [74][2450/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:48:52 time: 0.4043 data_time: 0.0443 memory: 4652 grad_norm: 2.8968 loss: 4.3046 loss_cls: 2.8432 loss_bbox: 1.4614 +2024/10/30 05:01:18 - mmengine - INFO - Epoch(train) [74][2500/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:48:30 time: 0.3971 data_time: 0.0400 memory: 4652 grad_norm: 2.9316 loss: 4.2698 loss_cls: 2.8689 loss_bbox: 1.4009 +2024/10/30 05:01:38 - mmengine - INFO - Epoch(train) [74][2550/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:48:07 time: 0.3948 data_time: 0.0393 memory: 4652 grad_norm: 3.3889 loss: 4.2530 loss_cls: 2.8315 loss_bbox: 1.4215 +2024/10/30 05:01:58 - mmengine - INFO - Epoch(train) [74][2600/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:47:45 time: 0.4014 data_time: 0.0406 memory: 4652 grad_norm: 2.8593 loss: 4.2078 loss_cls: 2.8255 loss_bbox: 1.3823 +2024/10/30 05:02:18 - mmengine - INFO - Epoch(train) [74][2650/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:47:23 time: 0.4043 data_time: 0.0437 memory: 4652 grad_norm: 3.0167 loss: 4.3127 loss_cls: 2.8635 loss_bbox: 1.4493 +2024/10/30 05:02:39 - mmengine - INFO - Epoch(train) [74][2700/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:47:01 time: 0.4126 data_time: 0.0429 memory: 4652 grad_norm: 3.1688 loss: 4.2635 loss_cls: 2.8497 loss_bbox: 1.4137 +2024/10/30 05:03:00 - mmengine - INFO - Epoch(train) [74][2750/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:46:39 time: 0.4089 data_time: 0.0456 memory: 4652 grad_norm: 2.9194 loss: 4.3894 loss_cls: 2.9120 loss_bbox: 1.4774 +2024/10/30 05:03:20 - mmengine - INFO - Epoch(train) [74][2800/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:46:16 time: 0.4039 data_time: 0.0405 memory: 4652 grad_norm: 3.0182 loss: 4.2959 loss_cls: 2.8970 loss_bbox: 1.3989 +2024/10/30 05:03:40 - mmengine - INFO - Epoch(train) [74][2850/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:45:54 time: 0.4111 data_time: 0.0526 memory: 4652 grad_norm: 2.9763 loss: 4.2501 loss_cls: 2.8461 loss_bbox: 1.4041 +2024/10/30 05:04:00 - mmengine - INFO - Epoch(train) [74][2900/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:45:32 time: 0.3949 data_time: 0.0403 memory: 4652 grad_norm: 3.0564 loss: 4.3524 loss_cls: 2.9202 loss_bbox: 1.4321 +2024/10/30 05:04:20 - mmengine - INFO - Epoch(train) [74][2950/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:45:10 time: 0.4044 data_time: 0.0416 memory: 4652 grad_norm: 2.6841 loss: 4.2912 loss_cls: 2.8835 loss_bbox: 1.4078 +2024/10/30 05:04:40 - mmengine - INFO - Epoch(train) [74][3000/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:44:47 time: 0.3981 data_time: 0.0492 memory: 4652 grad_norm: 3.1460 loss: 4.2578 loss_cls: 2.8210 loss_bbox: 1.4368 +2024/10/30 05:05:00 - mmengine - INFO - Epoch(train) [74][3050/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 16:44:25 time: 0.3980 data_time: 0.0433 memory: 4652 grad_norm: 3.0433 loss: 4.2458 loss_cls: 2.8393 loss_bbox: 1.4065 +2024/10/30 05:05:02 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 05:05:02 - mmengine - INFO - Saving checkpoint at 74 epochs +2024/10/30 05:05:10 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 05:05:29 - mmengine - INFO - Epoch(train) [75][ 50/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:44:02 time: 0.4302 data_time: 0.0647 memory: 4652 grad_norm: 3.0603 loss: 4.2039 loss_cls: 2.8253 loss_bbox: 1.3786 +2024/10/30 05:05:50 - mmengine - INFO - Epoch(train) [75][ 100/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:43:40 time: 0.4189 data_time: 0.0386 memory: 4652 grad_norm: 3.0605 loss: 4.2184 loss_cls: 2.8179 loss_bbox: 1.4005 +2024/10/30 05:06:12 - mmengine - INFO - Epoch(train) [75][ 150/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:43:19 time: 0.4366 data_time: 0.0383 memory: 4652 grad_norm: 2.8789 loss: 4.2789 loss_cls: 2.8826 loss_bbox: 1.3963 +2024/10/30 05:06:33 - mmengine - INFO - Epoch(train) [75][ 200/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:42:57 time: 0.4176 data_time: 0.0379 memory: 4652 grad_norm: 2.9426 loss: 4.2733 loss_cls: 2.8543 loss_bbox: 1.4190 +2024/10/30 05:06:54 - mmengine - INFO - Epoch(train) [75][ 250/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:42:36 time: 0.4357 data_time: 0.0385 memory: 4652 grad_norm: 2.9434 loss: 4.2044 loss_cls: 2.7897 loss_bbox: 1.4147 +2024/10/30 05:07:15 - mmengine - INFO - Epoch(train) [75][ 300/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:42:14 time: 0.4185 data_time: 0.0505 memory: 4652 grad_norm: 3.1306 loss: 4.3256 loss_cls: 2.8709 loss_bbox: 1.4547 +2024/10/30 05:07:37 - mmengine - INFO - Epoch(train) [75][ 350/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:41:53 time: 0.4297 data_time: 0.0428 memory: 4652 grad_norm: 3.2569 loss: 4.2569 loss_cls: 2.8375 loss_bbox: 1.4194 +2024/10/30 05:07:58 - mmengine - INFO - Epoch(train) [75][ 400/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:41:31 time: 0.4208 data_time: 0.0408 memory: 4652 grad_norm: 2.9036 loss: 4.2855 loss_cls: 2.8655 loss_bbox: 1.4200 +2024/10/30 05:08:20 - mmengine - INFO - Epoch(train) [75][ 450/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:41:10 time: 0.4341 data_time: 0.0474 memory: 4652 grad_norm: 3.0742 loss: 4.3628 loss_cls: 2.8769 loss_bbox: 1.4859 +2024/10/30 05:08:41 - mmengine - INFO - Epoch(train) [75][ 500/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:40:48 time: 0.4300 data_time: 0.0466 memory: 4652 grad_norm: 2.9975 loss: 4.2502 loss_cls: 2.8580 loss_bbox: 1.3921 +2024/10/30 05:09:02 - mmengine - INFO - Epoch(train) [75][ 550/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:40:26 time: 0.4153 data_time: 0.0491 memory: 4652 grad_norm: 3.0894 loss: 4.3082 loss_cls: 2.8486 loss_bbox: 1.4596 +2024/10/30 05:09:27 - mmengine - INFO - Epoch(train) [75][ 600/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:40:07 time: 0.5027 data_time: 0.1160 memory: 4652 grad_norm: 3.0685 loss: 4.2399 loss_cls: 2.8215 loss_bbox: 1.4184 +2024/10/30 05:09:48 - mmengine - INFO - Epoch(train) [75][ 650/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:39:45 time: 0.4230 data_time: 0.0437 memory: 4652 grad_norm: 3.3100 loss: 4.2644 loss_cls: 2.8656 loss_bbox: 1.3989 +2024/10/30 05:10:09 - mmengine - INFO - Epoch(train) [75][ 700/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:39:24 time: 0.4211 data_time: 0.0412 memory: 4652 grad_norm: 2.9189 loss: 4.2980 loss_cls: 2.8648 loss_bbox: 1.4332 +2024/10/30 05:10:31 - mmengine - INFO - Epoch(train) [75][ 750/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:39:02 time: 0.4293 data_time: 0.0444 memory: 4652 grad_norm: 2.8483 loss: 4.1991 loss_cls: 2.8132 loss_bbox: 1.3859 +2024/10/30 05:10:52 - mmengine - INFO - Epoch(train) [75][ 800/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:38:40 time: 0.4157 data_time: 0.0388 memory: 4652 grad_norm: 2.9291 loss: 4.2701 loss_cls: 2.8352 loss_bbox: 1.4350 +2024/10/30 05:11:14 - mmengine - INFO - Epoch(train) [75][ 850/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:38:19 time: 0.4395 data_time: 0.0404 memory: 4652 grad_norm: 3.2643 loss: 4.3125 loss_cls: 2.8665 loss_bbox: 1.4460 +2024/10/30 05:11:34 - mmengine - INFO - Epoch(train) [75][ 900/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:37:57 time: 0.4058 data_time: 0.0408 memory: 4652 grad_norm: 2.8700 loss: 4.1390 loss_cls: 2.7823 loss_bbox: 1.3568 +2024/10/30 05:11:56 - mmengine - INFO - Epoch(train) [75][ 950/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:37:36 time: 0.4433 data_time: 0.0493 memory: 4652 grad_norm: 2.8945 loss: 4.1868 loss_cls: 2.8078 loss_bbox: 1.3790 +2024/10/30 05:12:18 - mmengine - INFO - Epoch(train) [75][1000/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:37:15 time: 0.4260 data_time: 0.0496 memory: 4652 grad_norm: 3.4755 loss: 4.3349 loss_cls: 2.9111 loss_bbox: 1.4239 +2024/10/30 05:12:19 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 05:12:38 - mmengine - INFO - Epoch(train) [75][1050/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:36:52 time: 0.4042 data_time: 0.0414 memory: 4652 grad_norm: 3.0357 loss: 4.2142 loss_cls: 2.8212 loss_bbox: 1.3930 +2024/10/30 05:12:59 - mmengine - INFO - Epoch(train) [75][1100/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:36:31 time: 0.4316 data_time: 0.0413 memory: 4652 grad_norm: 3.0062 loss: 4.3463 loss_cls: 2.8900 loss_bbox: 1.4562 +2024/10/30 05:13:20 - mmengine - INFO - Epoch(train) [75][1150/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:36:09 time: 0.4085 data_time: 0.0400 memory: 4652 grad_norm: 3.1920 loss: 4.2763 loss_cls: 2.8254 loss_bbox: 1.4509 +2024/10/30 05:13:41 - mmengine - INFO - Epoch(train) [75][1200/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:35:47 time: 0.4237 data_time: 0.0468 memory: 4652 grad_norm: 2.9531 loss: 4.1601 loss_cls: 2.7945 loss_bbox: 1.3656 +2024/10/30 05:14:02 - mmengine - INFO - Epoch(train) [75][1250/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:35:26 time: 0.4240 data_time: 0.0423 memory: 4652 grad_norm: 2.7834 loss: 4.3684 loss_cls: 2.8992 loss_bbox: 1.4692 +2024/10/30 05:14:28 - mmengine - INFO - Epoch(train) [75][1300/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:35:07 time: 0.5073 data_time: 0.1158 memory: 4652 grad_norm: 2.9831 loss: 4.2382 loss_cls: 2.8600 loss_bbox: 1.3782 +2024/10/30 05:14:49 - mmengine - INFO - Epoch(train) [75][1350/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:34:45 time: 0.4251 data_time: 0.0374 memory: 4652 grad_norm: 3.0083 loss: 4.3986 loss_cls: 2.9155 loss_bbox: 1.4831 +2024/10/30 05:15:09 - mmengine - INFO - Epoch(train) [75][1400/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:34:23 time: 0.4062 data_time: 0.0381 memory: 4652 grad_norm: 3.0694 loss: 4.2691 loss_cls: 2.8392 loss_bbox: 1.4299 +2024/10/30 05:15:31 - mmengine - INFO - Epoch(train) [75][1450/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:34:02 time: 0.4321 data_time: 0.0436 memory: 4652 grad_norm: 2.8464 loss: 4.2867 loss_cls: 2.8233 loss_bbox: 1.4634 +2024/10/30 05:15:52 - mmengine - INFO - Epoch(train) [75][1500/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:33:40 time: 0.4152 data_time: 0.0405 memory: 4652 grad_norm: 3.4151 loss: 4.3369 loss_cls: 2.9060 loss_bbox: 1.4309 +2024/10/30 05:16:13 - mmengine - INFO - Epoch(train) [75][1550/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:33:18 time: 0.4272 data_time: 0.0428 memory: 4652 grad_norm: 2.8222 loss: 4.2992 loss_cls: 2.8620 loss_bbox: 1.4372 +2024/10/30 05:16:34 - mmengine - INFO - Epoch(train) [75][1600/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:32:56 time: 0.4159 data_time: 0.0405 memory: 4652 grad_norm: 2.9998 loss: 4.2955 loss_cls: 2.8522 loss_bbox: 1.4433 +2024/10/30 05:16:54 - mmengine - INFO - Epoch(train) [75][1650/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:32:34 time: 0.4065 data_time: 0.0384 memory: 4652 grad_norm: 3.0615 loss: 4.2635 loss_cls: 2.8847 loss_bbox: 1.3788 +2024/10/30 05:17:16 - mmengine - INFO - Epoch(train) [75][1700/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:32:13 time: 0.4364 data_time: 0.0396 memory: 4652 grad_norm: 2.8881 loss: 4.2009 loss_cls: 2.8282 loss_bbox: 1.3727 +2024/10/30 05:17:37 - mmengine - INFO - Epoch(train) [75][1750/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:31:51 time: 0.4096 data_time: 0.0473 memory: 4652 grad_norm: 3.0000 loss: 4.3041 loss_cls: 2.8632 loss_bbox: 1.4408 +2024/10/30 05:17:58 - mmengine - INFO - Epoch(train) [75][1800/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:31:29 time: 0.4231 data_time: 0.0409 memory: 4652 grad_norm: 2.9056 loss: 4.2071 loss_cls: 2.8196 loss_bbox: 1.3875 +2024/10/30 05:18:19 - mmengine - INFO - Epoch(train) [75][1850/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:31:08 time: 0.4297 data_time: 0.0423 memory: 4652 grad_norm: 2.9184 loss: 4.1863 loss_cls: 2.8140 loss_bbox: 1.3723 +2024/10/30 05:18:40 - mmengine - INFO - Epoch(train) [75][1900/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:30:46 time: 0.4055 data_time: 0.0375 memory: 4652 grad_norm: 2.8852 loss: 4.2800 loss_cls: 2.8834 loss_bbox: 1.3967 +2024/10/30 05:19:02 - mmengine - INFO - Epoch(train) [75][1950/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:30:25 time: 0.4459 data_time: 0.0443 memory: 4652 grad_norm: 3.3557 loss: 4.3056 loss_cls: 2.8379 loss_bbox: 1.4677 +2024/10/30 05:19:26 - mmengine - INFO - Epoch(train) [75][2000/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:30:05 time: 0.4801 data_time: 0.1178 memory: 4652 grad_norm: 3.0326 loss: 4.2755 loss_cls: 2.8440 loss_bbox: 1.4315 +2024/10/30 05:19:27 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 05:19:47 - mmengine - INFO - Epoch(train) [75][2050/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:29:43 time: 0.4252 data_time: 0.0385 memory: 4652 grad_norm: 3.1972 loss: 4.2075 loss_cls: 2.8465 loss_bbox: 1.3610 +2024/10/30 05:20:08 - mmengine - INFO - Epoch(train) [75][2100/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:29:22 time: 0.4143 data_time: 0.0396 memory: 4652 grad_norm: 3.3367 loss: 4.2947 loss_cls: 2.8658 loss_bbox: 1.4289 +2024/10/30 05:20:29 - mmengine - INFO - Epoch(train) [75][2150/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:29:00 time: 0.4127 data_time: 0.0429 memory: 4652 grad_norm: 3.0125 loss: 4.1809 loss_cls: 2.7930 loss_bbox: 1.3879 +2024/10/30 05:20:51 - mmengine - INFO - Epoch(train) [75][2200/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:28:39 time: 0.4469 data_time: 0.0463 memory: 4652 grad_norm: 2.9836 loss: 4.2103 loss_cls: 2.8228 loss_bbox: 1.3875 +2024/10/30 05:21:11 - mmengine - INFO - Epoch(train) [75][2250/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:28:17 time: 0.4103 data_time: 0.0443 memory: 4652 grad_norm: 3.0003 loss: 4.2283 loss_cls: 2.8316 loss_bbox: 1.3968 +2024/10/30 05:21:33 - mmengine - INFO - Epoch(train) [75][2300/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:27:55 time: 0.4341 data_time: 0.0394 memory: 4652 grad_norm: 2.9172 loss: 4.2426 loss_cls: 2.8533 loss_bbox: 1.3894 +2024/10/30 05:21:53 - mmengine - INFO - Epoch(train) [75][2350/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:27:33 time: 0.4036 data_time: 0.0383 memory: 4652 grad_norm: 3.1822 loss: 4.1648 loss_cls: 2.7873 loss_bbox: 1.3775 +2024/10/30 05:22:14 - mmengine - INFO - Epoch(train) [75][2400/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:27:11 time: 0.4124 data_time: 0.0520 memory: 4652 grad_norm: 2.9418 loss: 4.2144 loss_cls: 2.7937 loss_bbox: 1.4206 +2024/10/30 05:22:36 - mmengine - INFO - Epoch(train) [75][2450/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:26:50 time: 0.4407 data_time: 0.0450 memory: 4652 grad_norm: 3.0140 loss: 4.3652 loss_cls: 2.9010 loss_bbox: 1.4642 +2024/10/30 05:22:56 - mmengine - INFO - Epoch(train) [75][2500/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:26:28 time: 0.3934 data_time: 0.0389 memory: 4652 grad_norm: 2.9508 loss: 4.3182 loss_cls: 2.8760 loss_bbox: 1.4422 +2024/10/30 05:23:17 - mmengine - INFO - Epoch(train) [75][2550/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:26:06 time: 0.4237 data_time: 0.0375 memory: 4652 grad_norm: 3.1256 loss: 4.2647 loss_cls: 2.8487 loss_bbox: 1.4160 +2024/10/30 05:23:38 - mmengine - INFO - Epoch(train) [75][2600/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:25:45 time: 0.4310 data_time: 0.0669 memory: 4652 grad_norm: 2.9713 loss: 4.3144 loss_cls: 2.8678 loss_bbox: 1.4466 +2024/10/30 05:23:59 - mmengine - INFO - Epoch(train) [75][2650/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:25:22 time: 0.4088 data_time: 0.0412 memory: 4652 grad_norm: 3.2503 loss: 4.3215 loss_cls: 2.9010 loss_bbox: 1.4204 +2024/10/30 05:24:20 - mmengine - INFO - Epoch(train) [75][2700/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:25:01 time: 0.4273 data_time: 0.0402 memory: 4652 grad_norm: 3.0282 loss: 4.2243 loss_cls: 2.8184 loss_bbox: 1.4059 +2024/10/30 05:24:41 - mmengine - INFO - Epoch(train) [75][2750/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:24:39 time: 0.4061 data_time: 0.0463 memory: 4652 grad_norm: 3.0932 loss: 4.2763 loss_cls: 2.8128 loss_bbox: 1.4635 +2024/10/30 05:25:03 - mmengine - INFO - Epoch(train) [75][2800/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:24:18 time: 0.4378 data_time: 0.0423 memory: 4652 grad_norm: 2.9188 loss: 4.2986 loss_cls: 2.8697 loss_bbox: 1.4288 +2024/10/30 05:25:25 - mmengine - INFO - Epoch(train) [75][2850/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:23:57 time: 0.4559 data_time: 0.1001 memory: 4652 grad_norm: 3.0913 loss: 4.3153 loss_cls: 2.8503 loss_bbox: 1.4650 +2024/10/30 05:25:47 - mmengine - INFO - Epoch(train) [75][2900/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:23:35 time: 0.4263 data_time: 0.0446 memory: 4652 grad_norm: 2.8663 loss: 4.3681 loss_cls: 2.9055 loss_bbox: 1.4626 +2024/10/30 05:26:08 - mmengine - INFO - Epoch(train) [75][2950/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:23:14 time: 0.4152 data_time: 0.0408 memory: 4652 grad_norm: 2.8096 loss: 4.3599 loss_cls: 2.9141 loss_bbox: 1.4459 +2024/10/30 05:26:27 - mmengine - INFO - Epoch(train) [75][3000/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:22:51 time: 0.3911 data_time: 0.0383 memory: 4652 grad_norm: 2.9883 loss: 4.1836 loss_cls: 2.7986 loss_bbox: 1.3850 +2024/10/30 05:26:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 05:26:48 - mmengine - INFO - Epoch(train) [75][3050/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 16:22:29 time: 0.4209 data_time: 0.0388 memory: 4652 grad_norm: 3.0013 loss: 4.2674 loss_cls: 2.8965 loss_bbox: 1.3710 +2024/10/30 05:26:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 05:26:50 - mmengine - INFO - Saving checkpoint at 75 epochs +2024/10/30 05:26:58 - mmengine - INFO - Epoch(val) [75][50/79] eta: 0:00:02 time: 0.0746 data_time: 0.0087 memory: 4652 +2024/10/30 05:27:18 - mmengine - INFO - Evaluating bbox... +2024/10/30 05:28:41 - mmengine - INFO - bbox_mAP_copypaste: 0.212 0.366 0.215 0.060 0.256 0.333 +2024/10/30 05:28:43 - mmengine - INFO - Epoch(val) [75][79/79] coco/bbox_mAP: 0.2120 coco/bbox_mAP_50: 0.3660 coco/bbox_mAP_75: 0.2150 coco/bbox_mAP_s: 0.0600 coco/bbox_mAP_m: 0.2560 coco/bbox_mAP_l: 0.3330 data_time: 0.0081 time: 0.0732 +2024/10/30 05:29:05 - mmengine - INFO - Epoch(train) [76][ 50/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:22:06 time: 0.4384 data_time: 0.0683 memory: 4652 grad_norm: 2.8474 loss: 4.2300 loss_cls: 2.8099 loss_bbox: 1.4201 +2024/10/30 05:29:27 - mmengine - INFO - Epoch(train) [76][ 100/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:21:45 time: 0.4489 data_time: 0.0614 memory: 4652 grad_norm: 3.1617 loss: 4.2523 loss_cls: 2.8390 loss_bbox: 1.4133 +2024/10/30 05:29:48 - mmengine - INFO - Epoch(train) [76][ 150/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:21:24 time: 0.4165 data_time: 0.0448 memory: 4652 grad_norm: 3.0359 loss: 4.2509 loss_cls: 2.8363 loss_bbox: 1.4147 +2024/10/30 05:30:10 - mmengine - INFO - Epoch(train) [76][ 200/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:21:02 time: 0.4272 data_time: 0.0390 memory: 4652 grad_norm: 3.0631 loss: 4.2744 loss_cls: 2.8534 loss_bbox: 1.4210 +2024/10/30 05:30:31 - mmengine - INFO - Epoch(train) [76][ 250/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:20:41 time: 0.4350 data_time: 0.0377 memory: 4652 grad_norm: 3.1371 loss: 4.1674 loss_cls: 2.7998 loss_bbox: 1.3676 +2024/10/30 05:30:52 - mmengine - INFO - Epoch(train) [76][ 300/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:20:19 time: 0.4196 data_time: 0.0463 memory: 4652 grad_norm: 2.9869 loss: 4.2863 loss_cls: 2.8660 loss_bbox: 1.4203 +2024/10/30 05:31:15 - mmengine - INFO - Epoch(train) [76][ 350/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:19:58 time: 0.4477 data_time: 0.0430 memory: 4652 grad_norm: 2.9840 loss: 4.2927 loss_cls: 2.8932 loss_bbox: 1.3995 +2024/10/30 05:31:35 - mmengine - INFO - Epoch(train) [76][ 400/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:19:36 time: 0.4113 data_time: 0.0386 memory: 4652 grad_norm: 3.0404 loss: 4.2879 loss_cls: 2.8874 loss_bbox: 1.4006 +2024/10/30 05:31:56 - mmengine - INFO - Epoch(train) [76][ 450/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:19:14 time: 0.4145 data_time: 0.0374 memory: 4652 grad_norm: 3.0264 loss: 4.2169 loss_cls: 2.8029 loss_bbox: 1.4141 +2024/10/30 05:32:18 - mmengine - INFO - Epoch(train) [76][ 500/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:18:53 time: 0.4407 data_time: 0.0393 memory: 4652 grad_norm: 3.1562 loss: 4.3113 loss_cls: 2.8556 loss_bbox: 1.4557 +2024/10/30 05:32:38 - mmengine - INFO - Epoch(train) [76][ 550/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:18:31 time: 0.4060 data_time: 0.0383 memory: 4652 grad_norm: 2.9901 loss: 4.2297 loss_cls: 2.8064 loss_bbox: 1.4233 +2024/10/30 05:33:00 - mmengine - INFO - Epoch(train) [76][ 600/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:18:10 time: 0.4391 data_time: 0.0377 memory: 4652 grad_norm: 2.9730 loss: 4.2242 loss_cls: 2.8101 loss_bbox: 1.4141 +2024/10/30 05:33:21 - mmengine - INFO - Epoch(train) [76][ 650/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:17:48 time: 0.4161 data_time: 0.0480 memory: 4652 grad_norm: 2.9322 loss: 4.2271 loss_cls: 2.8086 loss_bbox: 1.4185 +2024/10/30 05:33:42 - mmengine - INFO - Epoch(train) [76][ 700/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:17:27 time: 0.4249 data_time: 0.0368 memory: 4652 grad_norm: 3.1111 loss: 4.2074 loss_cls: 2.8286 loss_bbox: 1.3787 +2024/10/30 05:34:04 - mmengine - INFO - Epoch(train) [76][ 750/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:17:05 time: 0.4244 data_time: 0.0367 memory: 4652 grad_norm: 3.0282 loss: 4.3022 loss_cls: 2.8464 loss_bbox: 1.4558 +2024/10/30 05:34:27 - mmengine - INFO - Epoch(train) [76][ 800/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:16:45 time: 0.4665 data_time: 0.0934 memory: 4652 grad_norm: 3.0731 loss: 4.2423 loss_cls: 2.8289 loss_bbox: 1.4134 +2024/10/30 05:34:48 - mmengine - INFO - Epoch(train) [76][ 850/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:16:23 time: 0.4254 data_time: 0.0388 memory: 4652 grad_norm: 2.9459 loss: 4.2435 loss_cls: 2.8649 loss_bbox: 1.3786 +2024/10/30 05:35:10 - mmengine - INFO - Epoch(train) [76][ 900/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:16:02 time: 0.4253 data_time: 0.0429 memory: 4652 grad_norm: 3.1687 loss: 4.2070 loss_cls: 2.7981 loss_bbox: 1.4089 +2024/10/30 05:35:31 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 05:35:31 - mmengine - INFO - Epoch(train) [76][ 950/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:15:40 time: 0.4371 data_time: 0.0428 memory: 4652 grad_norm: 2.9379 loss: 4.1904 loss_cls: 2.8258 loss_bbox: 1.3646 +2024/10/30 05:35:53 - mmengine - INFO - Epoch(train) [76][1000/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:15:19 time: 0.4309 data_time: 0.0443 memory: 4652 grad_norm: 3.0496 loss: 4.1552 loss_cls: 2.7904 loss_bbox: 1.3648 +2024/10/30 05:36:14 - mmengine - INFO - Epoch(train) [76][1050/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:14:58 time: 0.4277 data_time: 0.0457 memory: 4652 grad_norm: 2.9636 loss: 4.2303 loss_cls: 2.8478 loss_bbox: 1.3825 +2024/10/30 05:36:36 - mmengine - INFO - Epoch(train) [76][1100/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:14:36 time: 0.4359 data_time: 0.0412 memory: 4652 grad_norm: 3.0792 loss: 4.2135 loss_cls: 2.7999 loss_bbox: 1.4136 +2024/10/30 05:36:57 - mmengine - INFO - Epoch(train) [76][1150/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:14:14 time: 0.4136 data_time: 0.0391 memory: 4652 grad_norm: 2.9949 loss: 4.2915 loss_cls: 2.8872 loss_bbox: 1.4043 +2024/10/30 05:37:19 - mmengine - INFO - Epoch(train) [76][1200/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:13:53 time: 0.4315 data_time: 0.0525 memory: 4652 grad_norm: 2.7511 loss: 4.2661 loss_cls: 2.8341 loss_bbox: 1.4320 +2024/10/30 05:37:40 - mmengine - INFO - Epoch(train) [76][1250/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:13:32 time: 0.4369 data_time: 0.0457 memory: 4652 grad_norm: 3.1031 loss: 4.3073 loss_cls: 2.8917 loss_bbox: 1.4156 +2024/10/30 05:38:02 - mmengine - INFO - Epoch(train) [76][1300/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:13:10 time: 0.4293 data_time: 0.0368 memory: 4652 grad_norm: 2.8853 loss: 4.2427 loss_cls: 2.8402 loss_bbox: 1.4025 +2024/10/30 05:38:29 - mmengine - INFO - Epoch(train) [76][1350/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:12:52 time: 0.5444 data_time: 0.1329 memory: 4652 grad_norm: 2.9481 loss: 4.2839 loss_cls: 2.8971 loss_bbox: 1.3868 +2024/10/30 05:38:50 - mmengine - INFO - Epoch(train) [76][1400/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:12:31 time: 0.4205 data_time: 0.0404 memory: 4652 grad_norm: 3.0957 loss: 4.1671 loss_cls: 2.7765 loss_bbox: 1.3907 +2024/10/30 05:39:12 - mmengine - INFO - Epoch(train) [76][1450/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:12:10 time: 0.4437 data_time: 0.0366 memory: 4652 grad_norm: 2.9384 loss: 4.2714 loss_cls: 2.8550 loss_bbox: 1.4164 +2024/10/30 05:39:34 - mmengine - INFO - Epoch(train) [76][1500/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:11:48 time: 0.4324 data_time: 0.0364 memory: 4652 grad_norm: 3.3142 loss: 4.2345 loss_cls: 2.8110 loss_bbox: 1.4236 +2024/10/30 05:39:56 - mmengine - INFO - Epoch(train) [76][1550/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:11:27 time: 0.4308 data_time: 0.0459 memory: 4652 grad_norm: 3.0697 loss: 4.2506 loss_cls: 2.8533 loss_bbox: 1.3973 +2024/10/30 05:40:18 - mmengine - INFO - Epoch(train) [76][1600/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:11:06 time: 0.4504 data_time: 0.0364 memory: 4652 grad_norm: 3.1035 loss: 4.2082 loss_cls: 2.8395 loss_bbox: 1.3687 +2024/10/30 05:40:39 - mmengine - INFO - Epoch(train) [76][1650/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:10:45 time: 0.4214 data_time: 0.0414 memory: 4652 grad_norm: 3.0021 loss: 4.1527 loss_cls: 2.7810 loss_bbox: 1.3717 +2024/10/30 05:41:01 - mmengine - INFO - Epoch(train) [76][1700/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:10:23 time: 0.4321 data_time: 0.0371 memory: 4652 grad_norm: 3.0020 loss: 4.3273 loss_cls: 2.8545 loss_bbox: 1.4727 +2024/10/30 05:41:22 - mmengine - INFO - Epoch(train) [76][1750/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:10:01 time: 0.4181 data_time: 0.0368 memory: 4652 grad_norm: 3.1033 loss: 4.2232 loss_cls: 2.8407 loss_bbox: 1.3825 +2024/10/30 05:41:43 - mmengine - INFO - Epoch(train) [76][1800/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:09:40 time: 0.4176 data_time: 0.0371 memory: 4652 grad_norm: 3.1909 loss: 4.3418 loss_cls: 2.9111 loss_bbox: 1.4307 +2024/10/30 05:42:05 - mmengine - INFO - Epoch(train) [76][1850/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:09:19 time: 0.4460 data_time: 0.0406 memory: 4652 grad_norm: 2.9932 loss: 4.2732 loss_cls: 2.8284 loss_bbox: 1.4448 +2024/10/30 05:42:26 - mmengine - INFO - Epoch(train) [76][1900/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:08:57 time: 0.4258 data_time: 0.0389 memory: 4652 grad_norm: 2.9389 loss: 4.3378 loss_cls: 2.8995 loss_bbox: 1.4383 +2024/10/30 05:42:48 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 05:42:48 - mmengine - INFO - Epoch(train) [76][1950/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:08:36 time: 0.4295 data_time: 0.0373 memory: 4652 grad_norm: 3.0518 loss: 4.2147 loss_cls: 2.7812 loss_bbox: 1.4335 +2024/10/30 05:43:09 - mmengine - INFO - Epoch(train) [76][2000/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:08:14 time: 0.4251 data_time: 0.0373 memory: 4652 grad_norm: 2.9040 loss: 4.2780 loss_cls: 2.8204 loss_bbox: 1.4576 +2024/10/30 05:43:30 - mmengine - INFO - Epoch(train) [76][2050/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:07:53 time: 0.4292 data_time: 0.0452 memory: 4652 grad_norm: 3.0500 loss: 4.2548 loss_cls: 2.8468 loss_bbox: 1.4080 +2024/10/30 05:43:53 - mmengine - INFO - Epoch(train) [76][2100/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:07:32 time: 0.4415 data_time: 0.0382 memory: 4652 grad_norm: 3.2137 loss: 4.2412 loss_cls: 2.8515 loss_bbox: 1.3897 +2024/10/30 05:44:14 - mmengine - INFO - Epoch(train) [76][2150/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:07:10 time: 0.4344 data_time: 0.0405 memory: 4652 grad_norm: 3.0088 loss: 4.1940 loss_cls: 2.7681 loss_bbox: 1.4259 +2024/10/30 05:44:36 - mmengine - INFO - Epoch(train) [76][2200/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:06:49 time: 0.4402 data_time: 0.0373 memory: 4652 grad_norm: 3.1318 loss: 4.2692 loss_cls: 2.8268 loss_bbox: 1.4424 +2024/10/30 05:44:57 - mmengine - INFO - Epoch(train) [76][2250/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:06:27 time: 0.4148 data_time: 0.0374 memory: 4652 grad_norm: 2.9169 loss: 4.2805 loss_cls: 2.8619 loss_bbox: 1.4187 +2024/10/30 05:45:20 - mmengine - INFO - Epoch(train) [76][2300/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:06:07 time: 0.4510 data_time: 0.0369 memory: 4652 grad_norm: 3.1243 loss: 4.1854 loss_cls: 2.8280 loss_bbox: 1.3574 +2024/10/30 05:45:42 - mmengine - INFO - Epoch(train) [76][2350/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:05:46 time: 0.4461 data_time: 0.0449 memory: 4652 grad_norm: 2.9633 loss: 4.2515 loss_cls: 2.8403 loss_bbox: 1.4112 +2024/10/30 05:46:04 - mmengine - INFO - Epoch(train) [76][2400/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:05:24 time: 0.4345 data_time: 0.0368 memory: 4652 grad_norm: 3.3190 loss: 4.1864 loss_cls: 2.8012 loss_bbox: 1.3852 +2024/10/30 05:46:29 - mmengine - INFO - Epoch(train) [76][2450/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:05:05 time: 0.5139 data_time: 0.0996 memory: 4652 grad_norm: 2.9391 loss: 4.2459 loss_cls: 2.8527 loss_bbox: 1.3933 +2024/10/30 05:46:51 - mmengine - INFO - Epoch(train) [76][2500/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:04:44 time: 0.4235 data_time: 0.0376 memory: 4652 grad_norm: 3.1506 loss: 4.2551 loss_cls: 2.8451 loss_bbox: 1.4100 +2024/10/30 05:47:13 - mmengine - INFO - Epoch(train) [76][2550/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:04:23 time: 0.4531 data_time: 0.0370 memory: 4652 grad_norm: 2.8847 loss: 4.3189 loss_cls: 2.8662 loss_bbox: 1.4527 +2024/10/30 05:47:35 - mmengine - INFO - Epoch(train) [76][2600/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:04:02 time: 0.4366 data_time: 0.0367 memory: 4652 grad_norm: 3.4106 loss: 4.2534 loss_cls: 2.8714 loss_bbox: 1.3820 +2024/10/30 05:47:56 - mmengine - INFO - Epoch(train) [76][2650/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:03:40 time: 0.4226 data_time: 0.0385 memory: 4652 grad_norm: 2.9641 loss: 4.3048 loss_cls: 2.8687 loss_bbox: 1.4361 +2024/10/30 05:48:19 - mmengine - INFO - Epoch(train) [76][2700/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:03:20 time: 0.4621 data_time: 0.0390 memory: 4652 grad_norm: 2.8379 loss: 4.2924 loss_cls: 2.8616 loss_bbox: 1.4308 +2024/10/30 05:48:41 - mmengine - INFO - Epoch(train) [76][2750/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:02:58 time: 0.4327 data_time: 0.0396 memory: 4652 grad_norm: 3.0131 loss: 4.3403 loss_cls: 2.8756 loss_bbox: 1.4647 +2024/10/30 05:49:04 - mmengine - INFO - Epoch(train) [76][2800/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:02:38 time: 0.4548 data_time: 0.0368 memory: 4652 grad_norm: 3.0932 loss: 4.2692 loss_cls: 2.8492 loss_bbox: 1.4200 +2024/10/30 05:49:28 - mmengine - INFO - Epoch(train) [76][2850/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:02:18 time: 0.4886 data_time: 0.0975 memory: 4652 grad_norm: 3.1370 loss: 4.2304 loss_cls: 2.8236 loss_bbox: 1.4068 +2024/10/30 05:49:50 - mmengine - INFO - Epoch(train) [76][2900/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:01:57 time: 0.4302 data_time: 0.0368 memory: 4652 grad_norm: 3.0427 loss: 4.3366 loss_cls: 2.8495 loss_bbox: 1.4871 +2024/10/30 05:50:13 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 05:50:13 - mmengine - INFO - Epoch(train) [76][2950/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:01:36 time: 0.4583 data_time: 0.0394 memory: 4652 grad_norm: 3.0338 loss: 4.3310 loss_cls: 2.8788 loss_bbox: 1.4522 +2024/10/30 05:50:35 - mmengine - INFO - Epoch(train) [76][3000/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:01:15 time: 0.4343 data_time: 0.0413 memory: 4652 grad_norm: 3.1659 loss: 4.2135 loss_cls: 2.8257 loss_bbox: 1.3879 +2024/10/30 05:50:57 - mmengine - INFO - Epoch(train) [76][3050/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 16:00:54 time: 0.4502 data_time: 0.0461 memory: 4652 grad_norm: 3.1118 loss: 4.3097 loss_cls: 2.8658 loss_bbox: 1.4439 +2024/10/30 05:50:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 05:50:59 - mmengine - INFO - Saving checkpoint at 76 epochs +2024/10/30 05:51:30 - mmengine - INFO - Epoch(train) [77][ 50/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 16:00:31 time: 0.4321 data_time: 0.0584 memory: 4652 grad_norm: 3.1368 loss: 4.1606 loss_cls: 2.7672 loss_bbox: 1.3934 +2024/10/30 05:51:51 - mmengine - INFO - Epoch(train) [77][ 100/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 16:00:09 time: 0.4183 data_time: 0.0456 memory: 4652 grad_norm: 2.9315 loss: 4.2000 loss_cls: 2.7963 loss_bbox: 1.4036 +2024/10/30 05:52:14 - mmengine - INFO - Epoch(train) [77][ 150/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:59:49 time: 0.4668 data_time: 0.0766 memory: 4652 grad_norm: 2.7753 loss: 4.2856 loss_cls: 2.8570 loss_bbox: 1.4286 +2024/10/30 05:52:35 - mmengine - INFO - Epoch(train) [77][ 200/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:59:27 time: 0.4159 data_time: 0.0475 memory: 4652 grad_norm: 3.2419 loss: 4.1309 loss_cls: 2.7478 loss_bbox: 1.3831 +2024/10/30 05:52:57 - mmengine - INFO - Epoch(train) [77][ 250/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:59:05 time: 0.4272 data_time: 0.0413 memory: 4652 grad_norm: 3.0685 loss: 4.3002 loss_cls: 2.8756 loss_bbox: 1.4245 +2024/10/30 05:53:17 - mmengine - INFO - Epoch(train) [77][ 300/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:58:43 time: 0.4060 data_time: 0.0399 memory: 4652 grad_norm: 2.9283 loss: 4.2519 loss_cls: 2.8318 loss_bbox: 1.4201 +2024/10/30 05:53:39 - mmengine - INFO - Epoch(train) [77][ 350/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:58:22 time: 0.4380 data_time: 0.0528 memory: 4652 grad_norm: 2.9665 loss: 4.2512 loss_cls: 2.8320 loss_bbox: 1.4192 +2024/10/30 05:54:00 - mmengine - INFO - Epoch(train) [77][ 400/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:58:01 time: 0.4299 data_time: 0.0447 memory: 4652 grad_norm: 3.2169 loss: 4.2219 loss_cls: 2.8081 loss_bbox: 1.4138 +2024/10/30 05:54:21 - mmengine - INFO - Epoch(train) [77][ 450/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:57:39 time: 0.4157 data_time: 0.0407 memory: 4652 grad_norm: 2.8597 loss: 4.1808 loss_cls: 2.8176 loss_bbox: 1.3632 +2024/10/30 05:54:43 - mmengine - INFO - Epoch(train) [77][ 500/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:57:17 time: 0.4312 data_time: 0.0475 memory: 4652 grad_norm: 3.1288 loss: 4.2881 loss_cls: 2.8400 loss_bbox: 1.4481 +2024/10/30 05:55:03 - mmengine - INFO - Epoch(train) [77][ 550/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:56:55 time: 0.4087 data_time: 0.0404 memory: 4652 grad_norm: 3.0970 loss: 4.2452 loss_cls: 2.8435 loss_bbox: 1.4017 +2024/10/30 05:55:27 - mmengine - INFO - Epoch(train) [77][ 600/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:56:35 time: 0.4676 data_time: 0.1010 memory: 4652 grad_norm: 3.1622 loss: 4.2605 loss_cls: 2.8590 loss_bbox: 1.4014 +2024/10/30 05:55:48 - mmengine - INFO - Epoch(train) [77][ 650/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:56:13 time: 0.4186 data_time: 0.0450 memory: 4652 grad_norm: 2.9553 loss: 4.2063 loss_cls: 2.8119 loss_bbox: 1.3944 +2024/10/30 05:56:08 - mmengine - INFO - Epoch(train) [77][ 700/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:55:51 time: 0.4092 data_time: 0.0481 memory: 4652 grad_norm: 3.2699 loss: 4.2160 loss_cls: 2.8407 loss_bbox: 1.3753 +2024/10/30 05:56:29 - mmengine - INFO - Epoch(train) [77][ 750/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:55:29 time: 0.4146 data_time: 0.0485 memory: 4652 grad_norm: 2.8997 loss: 4.2776 loss_cls: 2.8371 loss_bbox: 1.4406 +2024/10/30 05:56:49 - mmengine - INFO - Epoch(train) [77][ 800/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:55:07 time: 0.4086 data_time: 0.0408 memory: 4652 grad_norm: 2.9923 loss: 4.2060 loss_cls: 2.8008 loss_bbox: 1.4051 +2024/10/30 05:57:11 - mmengine - INFO - Epoch(train) [77][ 850/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:54:46 time: 0.4263 data_time: 0.0420 memory: 4652 grad_norm: 3.0944 loss: 4.1711 loss_cls: 2.7965 loss_bbox: 1.3747 +2024/10/30 05:57:30 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 05:57:32 - mmengine - INFO - Epoch(train) [77][ 900/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:54:24 time: 0.4205 data_time: 0.0396 memory: 4652 grad_norm: 3.1114 loss: 4.2431 loss_cls: 2.8516 loss_bbox: 1.3915 +2024/10/30 05:57:53 - mmengine - INFO - Epoch(train) [77][ 950/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:54:03 time: 0.4262 data_time: 0.0431 memory: 4652 grad_norm: 3.0697 loss: 4.2308 loss_cls: 2.8607 loss_bbox: 1.3701 +2024/10/30 05:58:14 - mmengine - INFO - Epoch(train) [77][1000/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:53:41 time: 0.4123 data_time: 0.0376 memory: 4652 grad_norm: 3.4032 loss: 4.2357 loss_cls: 2.7969 loss_bbox: 1.4389 +2024/10/30 05:58:34 - mmengine - INFO - Epoch(train) [77][1050/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:53:18 time: 0.4070 data_time: 0.0395 memory: 4652 grad_norm: 3.0810 loss: 4.1371 loss_cls: 2.7671 loss_bbox: 1.3700 +2024/10/30 05:58:55 - mmengine - INFO - Epoch(train) [77][1100/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:52:57 time: 0.4212 data_time: 0.0399 memory: 4652 grad_norm: 2.9582 loss: 4.2764 loss_cls: 2.8593 loss_bbox: 1.4171 +2024/10/30 05:59:16 - mmengine - INFO - Epoch(train) [77][1150/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:52:35 time: 0.4197 data_time: 0.0381 memory: 4652 grad_norm: 3.0448 loss: 4.2225 loss_cls: 2.8152 loss_bbox: 1.4073 +2024/10/30 05:59:37 - mmengine - INFO - Epoch(train) [77][1200/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:52:13 time: 0.4218 data_time: 0.0447 memory: 4652 grad_norm: 3.0189 loss: 4.1911 loss_cls: 2.7751 loss_bbox: 1.4160 +2024/10/30 05:59:59 - mmengine - INFO - Epoch(train) [77][1250/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:51:52 time: 0.4260 data_time: 0.0461 memory: 4652 grad_norm: 3.2313 loss: 4.2142 loss_cls: 2.8105 loss_bbox: 1.4037 +2024/10/30 06:00:20 - mmengine - INFO - Epoch(train) [77][1300/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:51:30 time: 0.4234 data_time: 0.0412 memory: 4652 grad_norm: 3.0741 loss: 4.3016 loss_cls: 2.8810 loss_bbox: 1.4206 +2024/10/30 06:00:40 - mmengine - INFO - Epoch(train) [77][1350/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:51:08 time: 0.4112 data_time: 0.0374 memory: 4652 grad_norm: 3.2261 loss: 4.2707 loss_cls: 2.8372 loss_bbox: 1.4335 +2024/10/30 06:01:01 - mmengine - INFO - Epoch(train) [77][1400/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:50:47 time: 0.4213 data_time: 0.0423 memory: 4652 grad_norm: 3.0316 loss: 4.1930 loss_cls: 2.8072 loss_bbox: 1.3858 +2024/10/30 06:01:22 - mmengine - INFO - Epoch(train) [77][1450/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:50:25 time: 0.4121 data_time: 0.0389 memory: 4652 grad_norm: 2.8252 loss: 4.2201 loss_cls: 2.8262 loss_bbox: 1.3939 +2024/10/30 06:01:43 - mmengine - INFO - Epoch(train) [77][1500/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:50:03 time: 0.4233 data_time: 0.0409 memory: 4652 grad_norm: 3.0084 loss: 4.2366 loss_cls: 2.8182 loss_bbox: 1.4184 +2024/10/30 06:02:04 - mmengine - INFO - Epoch(train) [77][1550/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:49:41 time: 0.4216 data_time: 0.0414 memory: 4652 grad_norm: 2.9592 loss: 4.2153 loss_cls: 2.8143 loss_bbox: 1.4010 +2024/10/30 06:02:26 - mmengine - INFO - Epoch(train) [77][1600/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:49:20 time: 0.4344 data_time: 0.0571 memory: 4652 grad_norm: 2.8447 loss: 4.2163 loss_cls: 2.8215 loss_bbox: 1.3948 +2024/10/30 06:02:47 - mmengine - INFO - Epoch(train) [77][1650/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:48:58 time: 0.4135 data_time: 0.0376 memory: 4652 grad_norm: 3.1343 loss: 4.3249 loss_cls: 2.8642 loss_bbox: 1.4607 +2024/10/30 06:03:07 - mmengine - INFO - Epoch(train) [77][1700/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:48:36 time: 0.4147 data_time: 0.0436 memory: 4652 grad_norm: 3.0993 loss: 4.1980 loss_cls: 2.8390 loss_bbox: 1.3591 +2024/10/30 06:03:28 - mmengine - INFO - Epoch(train) [77][1750/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:48:14 time: 0.4153 data_time: 0.0386 memory: 4652 grad_norm: 3.0787 loss: 4.1874 loss_cls: 2.8146 loss_bbox: 1.3728 +2024/10/30 06:03:49 - mmengine - INFO - Epoch(train) [77][1800/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:47:53 time: 0.4163 data_time: 0.0373 memory: 4652 grad_norm: 3.0996 loss: 4.2362 loss_cls: 2.8058 loss_bbox: 1.4304 +2024/10/30 06:04:10 - mmengine - INFO - Epoch(train) [77][1850/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:47:31 time: 0.4249 data_time: 0.0469 memory: 4652 grad_norm: 2.8304 loss: 4.1603 loss_cls: 2.7807 loss_bbox: 1.3797 +2024/10/30 06:04:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 06:04:31 - mmengine - INFO - Epoch(train) [77][1900/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:47:09 time: 0.4190 data_time: 0.0397 memory: 4652 grad_norm: 3.2654 loss: 4.1549 loss_cls: 2.7860 loss_bbox: 1.3689 +2024/10/30 06:04:52 - mmengine - INFO - Epoch(train) [77][1950/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:46:48 time: 0.4162 data_time: 0.0395 memory: 4652 grad_norm: 2.9121 loss: 4.2089 loss_cls: 2.8669 loss_bbox: 1.3421 +2024/10/30 06:05:12 - mmengine - INFO - Epoch(train) [77][2000/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:46:25 time: 0.4026 data_time: 0.0394 memory: 4652 grad_norm: 3.2537 loss: 4.2011 loss_cls: 2.8295 loss_bbox: 1.3716 +2024/10/30 06:05:33 - mmengine - INFO - Epoch(train) [77][2050/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:46:03 time: 0.4147 data_time: 0.0384 memory: 4652 grad_norm: 3.0970 loss: 4.2891 loss_cls: 2.8703 loss_bbox: 1.4188 +2024/10/30 06:05:54 - mmengine - INFO - Epoch(train) [77][2100/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:45:42 time: 0.4228 data_time: 0.0391 memory: 4652 grad_norm: 2.9998 loss: 4.1771 loss_cls: 2.7906 loss_bbox: 1.3866 +2024/10/30 06:06:15 - mmengine - INFO - Epoch(train) [77][2150/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:45:20 time: 0.4165 data_time: 0.0440 memory: 4652 grad_norm: 3.1749 loss: 4.2213 loss_cls: 2.8231 loss_bbox: 1.3983 +2024/10/30 06:06:36 - mmengine - INFO - Epoch(train) [77][2200/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:44:58 time: 0.4228 data_time: 0.0399 memory: 4652 grad_norm: 3.0133 loss: 4.1786 loss_cls: 2.8276 loss_bbox: 1.3510 +2024/10/30 06:06:57 - mmengine - INFO - Epoch(train) [77][2250/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:44:36 time: 0.4042 data_time: 0.0413 memory: 4652 grad_norm: 3.0549 loss: 4.2874 loss_cls: 2.8842 loss_bbox: 1.4032 +2024/10/30 06:07:18 - mmengine - INFO - Epoch(train) [77][2300/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:44:15 time: 0.4239 data_time: 0.0471 memory: 4652 grad_norm: 3.1331 loss: 4.1316 loss_cls: 2.7977 loss_bbox: 1.3339 +2024/10/30 06:07:38 - mmengine - INFO - Epoch(train) [77][2350/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:43:53 time: 0.4130 data_time: 0.0400 memory: 4652 grad_norm: 3.1293 loss: 4.2522 loss_cls: 2.8255 loss_bbox: 1.4268 +2024/10/30 06:07:59 - mmengine - INFO - Epoch(train) [77][2400/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:43:31 time: 0.4122 data_time: 0.0404 memory: 4652 grad_norm: 2.9979 loss: 4.1929 loss_cls: 2.7798 loss_bbox: 1.4131 +2024/10/30 06:08:21 - mmengine - INFO - Epoch(train) [77][2450/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:43:09 time: 0.4325 data_time: 0.0430 memory: 4652 grad_norm: 2.9002 loss: 4.2576 loss_cls: 2.8230 loss_bbox: 1.4346 +2024/10/30 06:08:41 - mmengine - INFO - Epoch(train) [77][2500/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:42:48 time: 0.4137 data_time: 0.0444 memory: 4652 grad_norm: 3.0656 loss: 4.2163 loss_cls: 2.8248 loss_bbox: 1.3915 +2024/10/30 06:09:02 - mmengine - INFO - Epoch(train) [77][2550/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:42:26 time: 0.4083 data_time: 0.0375 memory: 4652 grad_norm: 3.1903 loss: 4.2639 loss_cls: 2.8335 loss_bbox: 1.4305 +2024/10/30 06:09:27 - mmengine - INFO - Epoch(train) [77][2600/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:42:06 time: 0.4969 data_time: 0.1170 memory: 4652 grad_norm: 3.4707 loss: 4.2152 loss_cls: 2.8143 loss_bbox: 1.4009 +2024/10/30 06:09:47 - mmengine - INFO - Epoch(train) [77][2650/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:41:44 time: 0.4002 data_time: 0.0365 memory: 4652 grad_norm: 2.8059 loss: 4.2048 loss_cls: 2.7873 loss_bbox: 1.4175 +2024/10/30 06:10:08 - mmengine - INFO - Epoch(train) [77][2700/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:41:22 time: 0.4235 data_time: 0.0370 memory: 4652 grad_norm: 3.0220 loss: 4.3128 loss_cls: 2.8653 loss_bbox: 1.4475 +2024/10/30 06:10:29 - mmengine - INFO - Epoch(train) [77][2750/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:41:01 time: 0.4247 data_time: 0.0456 memory: 4652 grad_norm: 3.0928 loss: 4.2635 loss_cls: 2.8561 loss_bbox: 1.4074 +2024/10/30 06:10:50 - mmengine - INFO - Epoch(train) [77][2800/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:40:39 time: 0.4206 data_time: 0.0376 memory: 4652 grad_norm: 3.2119 loss: 4.1107 loss_cls: 2.7645 loss_bbox: 1.3462 +2024/10/30 06:11:11 - mmengine - INFO - Epoch(train) [77][2850/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:40:17 time: 0.4151 data_time: 0.0375 memory: 4652 grad_norm: 3.2244 loss: 4.2125 loss_cls: 2.8071 loss_bbox: 1.4053 +2024/10/30 06:11:30 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 06:11:32 - mmengine - INFO - Epoch(train) [77][2900/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:39:55 time: 0.4117 data_time: 0.0449 memory: 4652 grad_norm: 3.3682 loss: 4.1522 loss_cls: 2.7970 loss_bbox: 1.3551 +2024/10/30 06:11:53 - mmengine - INFO - Epoch(train) [77][2950/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:39:34 time: 0.4327 data_time: 0.0431 memory: 4652 grad_norm: 3.0996 loss: 4.1383 loss_cls: 2.7725 loss_bbox: 1.3658 +2024/10/30 06:12:15 - mmengine - INFO - Epoch(train) [77][3000/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:39:12 time: 0.4248 data_time: 0.0391 memory: 4652 grad_norm: 3.1604 loss: 4.1839 loss_cls: 2.7945 loss_bbox: 1.3894 +2024/10/30 06:12:35 - mmengine - INFO - Epoch(train) [77][3050/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 15:38:50 time: 0.4175 data_time: 0.0408 memory: 4652 grad_norm: 3.0739 loss: 4.2212 loss_cls: 2.8368 loss_bbox: 1.3844 +2024/10/30 06:12:37 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 06:12:37 - mmengine - INFO - Saving checkpoint at 77 epochs +2024/10/30 06:13:04 - mmengine - INFO - Epoch(train) [78][ 50/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:38:28 time: 0.4437 data_time: 0.0578 memory: 4652 grad_norm: 3.0575 loss: 4.2435 loss_cls: 2.8184 loss_bbox: 1.4251 +2024/10/30 06:13:26 - mmengine - INFO - Epoch(train) [78][ 100/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:38:07 time: 0.4489 data_time: 0.0715 memory: 4652 grad_norm: 3.4374 loss: 4.2364 loss_cls: 2.8777 loss_bbox: 1.3586 +2024/10/30 06:13:47 - mmengine - INFO - Epoch(train) [78][ 150/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:37:45 time: 0.4138 data_time: 0.0373 memory: 4652 grad_norm: 3.0257 loss: 4.2208 loss_cls: 2.8118 loss_bbox: 1.4090 +2024/10/30 06:14:08 - mmengine - INFO - Epoch(train) [78][ 200/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:37:23 time: 0.4213 data_time: 0.0484 memory: 4652 grad_norm: 3.1533 loss: 4.1887 loss_cls: 2.8301 loss_bbox: 1.3586 +2024/10/30 06:14:29 - mmengine - INFO - Epoch(train) [78][ 250/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:37:01 time: 0.4199 data_time: 0.0389 memory: 4652 grad_norm: 3.1842 loss: 4.1641 loss_cls: 2.7801 loss_bbox: 1.3839 +2024/10/30 06:14:50 - mmengine - INFO - Epoch(train) [78][ 300/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:36:40 time: 0.4196 data_time: 0.0410 memory: 4652 grad_norm: 3.1455 loss: 4.1651 loss_cls: 2.7823 loss_bbox: 1.3828 +2024/10/30 06:15:11 - mmengine - INFO - Epoch(train) [78][ 350/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:36:18 time: 0.4258 data_time: 0.0437 memory: 4652 grad_norm: 3.3328 loss: 4.1940 loss_cls: 2.8045 loss_bbox: 1.3894 +2024/10/30 06:15:32 - mmengine - INFO - Epoch(train) [78][ 400/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:35:56 time: 0.4194 data_time: 0.0398 memory: 4652 grad_norm: 3.1337 loss: 4.2489 loss_cls: 2.8315 loss_bbox: 1.4174 +2024/10/30 06:15:53 - mmengine - INFO - Epoch(train) [78][ 450/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:35:35 time: 0.4247 data_time: 0.0393 memory: 4652 grad_norm: 2.6698 loss: 4.1213 loss_cls: 2.7623 loss_bbox: 1.3591 +2024/10/30 06:16:15 - mmengine - INFO - Epoch(train) [78][ 500/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:35:13 time: 0.4236 data_time: 0.0396 memory: 4652 grad_norm: 3.0602 loss: 4.1873 loss_cls: 2.7976 loss_bbox: 1.3897 +2024/10/30 06:16:36 - mmengine - INFO - Epoch(train) [78][ 550/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:34:52 time: 0.4249 data_time: 0.0384 memory: 4652 grad_norm: 2.9439 loss: 4.2931 loss_cls: 2.8560 loss_bbox: 1.4371 +2024/10/30 06:16:57 - mmengine - INFO - Epoch(train) [78][ 600/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:34:30 time: 0.4212 data_time: 0.0430 memory: 4652 grad_norm: 3.2436 loss: 4.2056 loss_cls: 2.8063 loss_bbox: 1.3993 +2024/10/30 06:17:20 - mmengine - INFO - Epoch(train) [78][ 650/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:34:09 time: 0.4510 data_time: 0.0487 memory: 4652 grad_norm: 2.9860 loss: 4.2115 loss_cls: 2.7962 loss_bbox: 1.4153 +2024/10/30 06:17:41 - mmengine - INFO - Epoch(train) [78][ 700/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:33:48 time: 0.4220 data_time: 0.0386 memory: 4652 grad_norm: 2.9907 loss: 4.1310 loss_cls: 2.7718 loss_bbox: 1.3592 +2024/10/30 06:18:03 - mmengine - INFO - Epoch(train) [78][ 750/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:33:26 time: 0.4388 data_time: 0.0443 memory: 4652 grad_norm: 3.1224 loss: 4.3077 loss_cls: 2.8821 loss_bbox: 1.4256 +2024/10/30 06:18:27 - mmengine - INFO - Epoch(train) [78][ 800/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:33:06 time: 0.4787 data_time: 0.1006 memory: 4652 grad_norm: 2.9068 loss: 4.2260 loss_cls: 2.8291 loss_bbox: 1.3969 +2024/10/30 06:18:44 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 06:18:48 - mmengine - INFO - Epoch(train) [78][ 850/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:32:45 time: 0.4258 data_time: 0.0430 memory: 4652 grad_norm: 3.1680 loss: 4.2235 loss_cls: 2.8036 loss_bbox: 1.4199 +2024/10/30 06:19:10 - mmengine - INFO - Epoch(train) [78][ 900/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:32:24 time: 0.4358 data_time: 0.0408 memory: 4652 grad_norm: 3.4334 loss: 4.1412 loss_cls: 2.7647 loss_bbox: 1.3764 +2024/10/30 06:19:31 - mmengine - INFO - Epoch(train) [78][ 950/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:32:02 time: 0.4226 data_time: 0.0461 memory: 4652 grad_norm: 3.1019 loss: 4.2668 loss_cls: 2.8693 loss_bbox: 1.3975 +2024/10/30 06:19:53 - mmengine - INFO - Epoch(train) [78][1000/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:31:41 time: 0.4372 data_time: 0.0400 memory: 4652 grad_norm: 3.0451 loss: 4.1903 loss_cls: 2.7746 loss_bbox: 1.4157 +2024/10/30 06:20:14 - mmengine - INFO - Epoch(train) [78][1050/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:31:19 time: 0.4150 data_time: 0.0398 memory: 4652 grad_norm: 2.9882 loss: 4.1601 loss_cls: 2.7882 loss_bbox: 1.3720 +2024/10/30 06:20:35 - mmengine - INFO - Epoch(train) [78][1100/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:30:58 time: 0.4306 data_time: 0.0405 memory: 4652 grad_norm: 2.9796 loss: 4.2932 loss_cls: 2.8698 loss_bbox: 1.4234 +2024/10/30 06:20:56 - mmengine - INFO - Epoch(train) [78][1150/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:30:36 time: 0.4135 data_time: 0.0381 memory: 4652 grad_norm: 3.1234 loss: 4.2442 loss_cls: 2.8542 loss_bbox: 1.3901 +2024/10/30 06:21:17 - mmengine - INFO - Epoch(train) [78][1200/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:30:14 time: 0.4190 data_time: 0.0390 memory: 4652 grad_norm: 3.1345 loss: 4.3601 loss_cls: 2.8633 loss_bbox: 1.4969 +2024/10/30 06:21:39 - mmengine - INFO - Epoch(train) [78][1250/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:29:53 time: 0.4384 data_time: 0.0434 memory: 4652 grad_norm: 3.1058 loss: 4.2082 loss_cls: 2.8060 loss_bbox: 1.4021 +2024/10/30 06:21:59 - mmengine - INFO - Epoch(train) [78][1300/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:29:31 time: 0.4097 data_time: 0.0390 memory: 4652 grad_norm: 3.3140 loss: 4.2114 loss_cls: 2.7980 loss_bbox: 1.4134 +2024/10/30 06:22:21 - mmengine - INFO - Epoch(train) [78][1350/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:29:10 time: 0.4374 data_time: 0.0468 memory: 4652 grad_norm: 3.0680 loss: 4.2592 loss_cls: 2.8424 loss_bbox: 1.4168 +2024/10/30 06:22:42 - mmengine - INFO - Epoch(train) [78][1400/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:28:48 time: 0.4253 data_time: 0.0398 memory: 4652 grad_norm: 3.0178 loss: 4.2252 loss_cls: 2.8326 loss_bbox: 1.3926 +2024/10/30 06:23:04 - mmengine - INFO - Epoch(train) [78][1450/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:28:27 time: 0.4280 data_time: 0.0451 memory: 4652 grad_norm: 3.0435 loss: 4.2712 loss_cls: 2.8379 loss_bbox: 1.4333 +2024/10/30 06:23:27 - mmengine - INFO - Epoch(train) [78][1500/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:28:06 time: 0.4668 data_time: 0.0726 memory: 4652 grad_norm: 3.0934 loss: 4.1702 loss_cls: 2.8005 loss_bbox: 1.3698 +2024/10/30 06:23:49 - mmengine - INFO - Epoch(train) [78][1550/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:27:45 time: 0.4331 data_time: 0.0463 memory: 4652 grad_norm: 3.1816 loss: 4.2854 loss_cls: 2.8471 loss_bbox: 1.4383 +2024/10/30 06:24:11 - mmengine - INFO - Epoch(train) [78][1600/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:27:24 time: 0.4346 data_time: 0.0390 memory: 4652 grad_norm: 3.1715 loss: 4.1646 loss_cls: 2.7932 loss_bbox: 1.3715 +2024/10/30 06:24:32 - mmengine - INFO - Epoch(train) [78][1650/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:27:02 time: 0.4303 data_time: 0.0386 memory: 4652 grad_norm: 3.0656 loss: 4.2326 loss_cls: 2.8512 loss_bbox: 1.3815 +2024/10/30 06:24:53 - mmengine - INFO - Epoch(train) [78][1700/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:26:40 time: 0.4194 data_time: 0.0393 memory: 4652 grad_norm: 3.0363 loss: 4.2088 loss_cls: 2.7926 loss_bbox: 1.4162 +2024/10/30 06:25:15 - mmengine - INFO - Epoch(train) [78][1750/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:26:19 time: 0.4433 data_time: 0.0389 memory: 4652 grad_norm: 3.2037 loss: 4.1606 loss_cls: 2.7772 loss_bbox: 1.3834 +2024/10/30 06:25:36 - mmengine - INFO - Epoch(train) [78][1800/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:25:58 time: 0.4156 data_time: 0.0392 memory: 4652 grad_norm: 3.1704 loss: 4.1732 loss_cls: 2.7879 loss_bbox: 1.3853 +2024/10/30 06:25:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 06:25:58 - mmengine - INFO - Epoch(train) [78][1850/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:25:36 time: 0.4348 data_time: 0.0433 memory: 4652 grad_norm: 3.1165 loss: 4.1624 loss_cls: 2.7931 loss_bbox: 1.3693 +2024/10/30 06:26:20 - mmengine - INFO - Epoch(train) [78][1900/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:25:15 time: 0.4354 data_time: 0.0397 memory: 4652 grad_norm: 3.4274 loss: 4.1401 loss_cls: 2.7801 loss_bbox: 1.3600 +2024/10/30 06:26:42 - mmengine - INFO - Epoch(train) [78][1950/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:24:54 time: 0.4408 data_time: 0.0451 memory: 4652 grad_norm: 3.0038 loss: 4.2079 loss_cls: 2.7834 loss_bbox: 1.4245 +2024/10/30 06:27:03 - mmengine - INFO - Epoch(train) [78][2000/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:24:32 time: 0.4242 data_time: 0.0368 memory: 4652 grad_norm: 3.0010 loss: 4.2120 loss_cls: 2.8032 loss_bbox: 1.4088 +2024/10/30 06:27:27 - mmengine - INFO - Epoch(train) [78][2050/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:24:12 time: 0.4718 data_time: 0.0766 memory: 4652 grad_norm: 3.1201 loss: 4.2480 loss_cls: 2.8430 loss_bbox: 1.4051 +2024/10/30 06:27:49 - mmengine - INFO - Epoch(train) [78][2100/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:23:51 time: 0.4389 data_time: 0.0367 memory: 4652 grad_norm: 3.0799 loss: 4.2087 loss_cls: 2.8070 loss_bbox: 1.4017 +2024/10/30 06:28:11 - mmengine - INFO - Epoch(train) [78][2150/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:23:30 time: 0.4490 data_time: 0.0413 memory: 4652 grad_norm: 3.1268 loss: 4.1884 loss_cls: 2.8154 loss_bbox: 1.3730 +2024/10/30 06:28:32 - mmengine - INFO - Epoch(train) [78][2200/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:23:08 time: 0.4215 data_time: 0.0383 memory: 4652 grad_norm: 3.4008 loss: 4.1693 loss_cls: 2.7905 loss_bbox: 1.3788 +2024/10/30 06:28:54 - mmengine - INFO - Epoch(train) [78][2250/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:22:47 time: 0.4356 data_time: 0.0426 memory: 4652 grad_norm: 3.2052 loss: 4.2726 loss_cls: 2.8457 loss_bbox: 1.4269 +2024/10/30 06:29:15 - mmengine - INFO - Epoch(train) [78][2300/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:22:25 time: 0.4227 data_time: 0.0432 memory: 4652 grad_norm: 2.9541 loss: 4.2318 loss_cls: 2.8303 loss_bbox: 1.4015 +2024/10/30 06:29:37 - mmengine - INFO - Epoch(train) [78][2350/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:22:04 time: 0.4333 data_time: 0.0381 memory: 4652 grad_norm: 3.0564 loss: 4.1872 loss_cls: 2.8045 loss_bbox: 1.3827 +2024/10/30 06:29:58 - mmengine - INFO - Epoch(train) [78][2400/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:21:43 time: 0.4327 data_time: 0.0378 memory: 4652 grad_norm: 3.1829 loss: 4.2618 loss_cls: 2.8805 loss_bbox: 1.3813 +2024/10/30 06:30:20 - mmengine - INFO - Epoch(train) [78][2450/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:21:21 time: 0.4299 data_time: 0.0394 memory: 4652 grad_norm: 3.1753 loss: 4.1710 loss_cls: 2.7701 loss_bbox: 1.4009 +2024/10/30 06:30:41 - mmengine - INFO - Epoch(train) [78][2500/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:21:00 time: 0.4289 data_time: 0.0407 memory: 4652 grad_norm: 3.1168 loss: 4.2020 loss_cls: 2.7906 loss_bbox: 1.4114 +2024/10/30 06:31:02 - mmengine - INFO - Epoch(train) [78][2550/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:20:38 time: 0.4205 data_time: 0.0386 memory: 4652 grad_norm: 2.8744 loss: 4.1871 loss_cls: 2.8228 loss_bbox: 1.3644 +2024/10/30 06:31:27 - mmengine - INFO - Epoch(train) [78][2600/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:20:18 time: 0.4853 data_time: 0.0930 memory: 4652 grad_norm: 3.0376 loss: 4.2622 loss_cls: 2.8505 loss_bbox: 1.4116 +2024/10/30 06:31:49 - mmengine - INFO - Epoch(train) [78][2650/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:19:57 time: 0.4371 data_time: 0.0368 memory: 4652 grad_norm: 3.0265 loss: 4.2421 loss_cls: 2.8060 loss_bbox: 1.4362 +2024/10/30 06:32:10 - mmengine - INFO - Epoch(train) [78][2700/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:19:36 time: 0.4254 data_time: 0.0390 memory: 4652 grad_norm: 3.2914 loss: 4.2037 loss_cls: 2.8336 loss_bbox: 1.3701 +2024/10/30 06:32:32 - mmengine - INFO - Epoch(train) [78][2750/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:19:15 time: 0.4444 data_time: 0.0413 memory: 4652 grad_norm: 3.1101 loss: 4.2713 loss_cls: 2.8307 loss_bbox: 1.4406 +2024/10/30 06:32:54 - mmengine - INFO - Epoch(train) [78][2800/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:18:53 time: 0.4278 data_time: 0.0425 memory: 4652 grad_norm: 3.0858 loss: 4.2357 loss_cls: 2.8328 loss_bbox: 1.4030 +2024/10/30 06:33:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 06:33:15 - mmengine - INFO - Epoch(train) [78][2850/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:18:32 time: 0.4277 data_time: 0.0380 memory: 4652 grad_norm: 3.0358 loss: 4.2418 loss_cls: 2.8441 loss_bbox: 1.3977 +2024/10/30 06:33:37 - mmengine - INFO - Epoch(train) [78][2900/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:18:11 time: 0.4461 data_time: 0.0412 memory: 4652 grad_norm: 3.2536 loss: 4.2078 loss_cls: 2.8022 loss_bbox: 1.4056 +2024/10/30 06:33:59 - mmengine - INFO - Epoch(train) [78][2950/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:17:49 time: 0.4265 data_time: 0.0432 memory: 4652 grad_norm: 3.1612 loss: 4.2328 loss_cls: 2.8001 loss_bbox: 1.4327 +2024/10/30 06:34:21 - mmengine - INFO - Epoch(train) [78][3000/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:17:28 time: 0.4462 data_time: 0.0365 memory: 4652 grad_norm: 3.1330 loss: 4.2267 loss_cls: 2.8280 loss_bbox: 1.3988 +2024/10/30 06:34:42 - mmengine - INFO - Epoch(train) [78][3050/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 15:17:06 time: 0.4240 data_time: 0.0394 memory: 4652 grad_norm: 3.0357 loss: 4.2194 loss_cls: 2.7877 loss_bbox: 1.4317 +2024/10/30 06:34:44 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 06:34:44 - mmengine - INFO - Saving checkpoint at 78 epochs +2024/10/30 06:35:11 - mmengine - INFO - Epoch(train) [79][ 50/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:16:44 time: 0.4477 data_time: 0.0510 memory: 4652 grad_norm: 2.8097 loss: 4.1774 loss_cls: 2.7731 loss_bbox: 1.4042 +2024/10/30 06:35:32 - mmengine - INFO - Epoch(train) [79][ 100/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:16:22 time: 0.4329 data_time: 0.0387 memory: 4652 grad_norm: 3.1006 loss: 4.1754 loss_cls: 2.7900 loss_bbox: 1.3855 +2024/10/30 06:35:54 - mmengine - INFO - Epoch(train) [79][ 150/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:16:01 time: 0.4285 data_time: 0.0385 memory: 4652 grad_norm: 2.9683 loss: 4.1760 loss_cls: 2.7981 loss_bbox: 1.3779 +2024/10/30 06:36:16 - mmengine - INFO - Epoch(train) [79][ 200/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:15:40 time: 0.4342 data_time: 0.0366 memory: 4652 grad_norm: 3.1536 loss: 4.1447 loss_cls: 2.7471 loss_bbox: 1.3976 +2024/10/30 06:36:37 - mmengine - INFO - Epoch(train) [79][ 250/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:15:18 time: 0.4182 data_time: 0.0393 memory: 4652 grad_norm: 3.2302 loss: 4.1587 loss_cls: 2.7689 loss_bbox: 1.3898 +2024/10/30 06:36:58 - mmengine - INFO - Epoch(train) [79][ 300/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:14:56 time: 0.4235 data_time: 0.0373 memory: 4652 grad_norm: 3.0723 loss: 4.1986 loss_cls: 2.7896 loss_bbox: 1.4090 +2024/10/30 06:37:19 - mmengine - INFO - Epoch(train) [79][ 350/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:14:35 time: 0.4290 data_time: 0.0402 memory: 4652 grad_norm: 3.3690 loss: 4.1422 loss_cls: 2.7723 loss_bbox: 1.3699 +2024/10/30 06:37:40 - mmengine - INFO - Epoch(train) [79][ 400/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:14:13 time: 0.4166 data_time: 0.0378 memory: 4652 grad_norm: 3.0142 loss: 4.1974 loss_cls: 2.7978 loss_bbox: 1.3996 +2024/10/30 06:38:01 - mmengine - INFO - Epoch(train) [79][ 450/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:13:51 time: 0.4202 data_time: 0.0373 memory: 4652 grad_norm: 3.0859 loss: 4.2101 loss_cls: 2.8046 loss_bbox: 1.4055 +2024/10/30 06:38:23 - mmengine - INFO - Epoch(train) [79][ 500/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:13:30 time: 0.4307 data_time: 0.0433 memory: 4652 grad_norm: 3.2941 loss: 4.1774 loss_cls: 2.7813 loss_bbox: 1.3961 +2024/10/30 06:38:44 - mmengine - INFO - Epoch(train) [79][ 550/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:13:08 time: 0.4202 data_time: 0.0379 memory: 4652 grad_norm: 3.0496 loss: 4.2074 loss_cls: 2.8189 loss_bbox: 1.3885 +2024/10/30 06:39:05 - mmengine - INFO - Epoch(train) [79][ 600/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:12:47 time: 0.4328 data_time: 0.0407 memory: 4652 grad_norm: 3.4247 loss: 4.1531 loss_cls: 2.7830 loss_bbox: 1.3701 +2024/10/30 06:39:26 - mmengine - INFO - Epoch(train) [79][ 650/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:12:25 time: 0.4222 data_time: 0.0414 memory: 4652 grad_norm: 3.0002 loss: 4.2070 loss_cls: 2.7880 loss_bbox: 1.4190 +2024/10/30 06:39:48 - mmengine - INFO - Epoch(train) [79][ 700/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:12:04 time: 0.4389 data_time: 0.0392 memory: 4652 grad_norm: 3.1067 loss: 4.1856 loss_cls: 2.7850 loss_bbox: 1.4006 +2024/10/30 06:40:09 - mmengine - INFO - Epoch(train) [79][ 750/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:11:42 time: 0.4190 data_time: 0.0369 memory: 4652 grad_norm: 2.8379 loss: 4.1804 loss_cls: 2.7810 loss_bbox: 1.3994 +2024/10/30 06:40:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 06:40:31 - mmengine - INFO - Epoch(train) [79][ 800/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:11:21 time: 0.4290 data_time: 0.0374 memory: 4652 grad_norm: 3.0489 loss: 4.2385 loss_cls: 2.8242 loss_bbox: 1.4144 +2024/10/30 06:40:52 - mmengine - INFO - Epoch(train) [79][ 850/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:10:59 time: 0.4163 data_time: 0.0378 memory: 4652 grad_norm: 3.1978 loss: 4.3181 loss_cls: 2.8742 loss_bbox: 1.4438 +2024/10/30 06:41:13 - mmengine - INFO - Epoch(train) [79][ 900/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:10:38 time: 0.4226 data_time: 0.0464 memory: 4652 grad_norm: 3.3389 loss: 4.2242 loss_cls: 2.8230 loss_bbox: 1.4012 +2024/10/30 06:41:34 - mmengine - INFO - Epoch(train) [79][ 950/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:10:16 time: 0.4289 data_time: 0.0394 memory: 4652 grad_norm: 3.0758 loss: 4.1296 loss_cls: 2.7779 loss_bbox: 1.3517 +2024/10/30 06:41:55 - mmengine - INFO - Epoch(train) [79][1000/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:09:54 time: 0.4210 data_time: 0.0391 memory: 4652 grad_norm: 3.0549 loss: 4.2011 loss_cls: 2.8236 loss_bbox: 1.3775 +2024/10/30 06:42:17 - mmengine - INFO - Epoch(train) [79][1050/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:09:33 time: 0.4309 data_time: 0.0384 memory: 4652 grad_norm: 2.9648 loss: 4.1594 loss_cls: 2.7650 loss_bbox: 1.3944 +2024/10/30 06:42:38 - mmengine - INFO - Epoch(train) [79][1100/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:09:12 time: 0.4301 data_time: 0.0429 memory: 4652 grad_norm: 2.9749 loss: 4.2843 loss_cls: 2.8498 loss_bbox: 1.4344 +2024/10/30 06:43:00 - mmengine - INFO - Epoch(train) [79][1150/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:08:50 time: 0.4254 data_time: 0.0446 memory: 4652 grad_norm: 3.1517 loss: 4.2338 loss_cls: 2.8313 loss_bbox: 1.4024 +2024/10/30 06:43:21 - mmengine - INFO - Epoch(train) [79][1200/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:08:28 time: 0.4205 data_time: 0.0400 memory: 4652 grad_norm: 3.0542 loss: 4.2788 loss_cls: 2.8513 loss_bbox: 1.4275 +2024/10/30 06:43:42 - mmengine - INFO - Epoch(train) [79][1250/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:08:07 time: 0.4337 data_time: 0.0419 memory: 4652 grad_norm: 3.1060 loss: 4.1114 loss_cls: 2.7671 loss_bbox: 1.3443 +2024/10/30 06:44:04 - mmengine - INFO - Epoch(train) [79][1300/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:07:46 time: 0.4370 data_time: 0.0464 memory: 4652 grad_norm: 3.0210 loss: 4.2060 loss_cls: 2.8122 loss_bbox: 1.3938 +2024/10/30 06:44:28 - mmengine - INFO - Epoch(train) [79][1350/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:07:26 time: 0.4752 data_time: 0.0823 memory: 4652 grad_norm: 3.3528 loss: 4.2075 loss_cls: 2.8360 loss_bbox: 1.3715 +2024/10/30 06:44:49 - mmengine - INFO - Epoch(train) [79][1400/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:07:04 time: 0.4139 data_time: 0.0382 memory: 4652 grad_norm: 2.9755 loss: 4.2970 loss_cls: 2.8865 loss_bbox: 1.4105 +2024/10/30 06:45:10 - mmengine - INFO - Epoch(train) [79][1450/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:06:42 time: 0.4228 data_time: 0.0401 memory: 4652 grad_norm: 3.4316 loss: 4.1513 loss_cls: 2.8048 loss_bbox: 1.3465 +2024/10/30 06:45:31 - mmengine - INFO - Epoch(train) [79][1500/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:06:21 time: 0.4276 data_time: 0.0480 memory: 4652 grad_norm: 3.2006 loss: 4.1924 loss_cls: 2.8251 loss_bbox: 1.3672 +2024/10/30 06:45:52 - mmengine - INFO - Epoch(train) [79][1550/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:05:59 time: 0.4207 data_time: 0.0430 memory: 4652 grad_norm: 2.9907 loss: 4.2570 loss_cls: 2.8347 loss_bbox: 1.4223 +2024/10/30 06:46:14 - mmengine - INFO - Epoch(train) [79][1600/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:05:37 time: 0.4257 data_time: 0.0432 memory: 4652 grad_norm: 3.0762 loss: 4.1251 loss_cls: 2.7732 loss_bbox: 1.3520 +2024/10/30 06:46:35 - mmengine - INFO - Epoch(train) [79][1650/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:05:16 time: 0.4185 data_time: 0.0407 memory: 4652 grad_norm: 3.4175 loss: 4.1907 loss_cls: 2.8218 loss_bbox: 1.3689 +2024/10/30 06:46:56 - mmengine - INFO - Epoch(train) [79][1700/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:04:54 time: 0.4344 data_time: 0.0396 memory: 4652 grad_norm: 2.7945 loss: 4.1637 loss_cls: 2.7861 loss_bbox: 1.3777 +2024/10/30 06:47:18 - mmengine - INFO - Epoch(train) [79][1750/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:04:33 time: 0.4246 data_time: 0.0404 memory: 4652 grad_norm: 3.1959 loss: 4.1675 loss_cls: 2.7682 loss_bbox: 1.3992 +2024/10/30 06:47:34 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 06:47:39 - mmengine - INFO - Epoch(train) [79][1800/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:04:11 time: 0.4204 data_time: 0.0396 memory: 4652 grad_norm: 3.2127 loss: 4.2647 loss_cls: 2.8057 loss_bbox: 1.4590 +2024/10/30 06:48:01 - mmengine - INFO - Epoch(train) [79][1850/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:03:50 time: 0.4430 data_time: 0.0510 memory: 4652 grad_norm: 2.9285 loss: 4.2515 loss_cls: 2.8309 loss_bbox: 1.4206 +2024/10/30 06:48:23 - mmengine - INFO - Epoch(train) [79][1900/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:03:29 time: 0.4306 data_time: 0.0437 memory: 4652 grad_norm: 2.9418 loss: 4.0934 loss_cls: 2.7620 loss_bbox: 1.3314 +2024/10/30 06:48:45 - mmengine - INFO - Epoch(train) [79][1950/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:03:08 time: 0.4417 data_time: 0.0499 memory: 4652 grad_norm: 3.0224 loss: 4.2526 loss_cls: 2.8202 loss_bbox: 1.4323 +2024/10/30 06:49:06 - mmengine - INFO - Epoch(train) [79][2000/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:02:46 time: 0.4212 data_time: 0.0401 memory: 4652 grad_norm: 3.0880 loss: 4.0790 loss_cls: 2.7341 loss_bbox: 1.3449 +2024/10/30 06:49:27 - mmengine - INFO - Epoch(train) [79][2050/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:02:25 time: 0.4337 data_time: 0.0396 memory: 4652 grad_norm: 2.9634 loss: 4.3104 loss_cls: 2.8598 loss_bbox: 1.4507 +2024/10/30 06:49:49 - mmengine - INFO - Epoch(train) [79][2100/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:02:03 time: 0.4322 data_time: 0.0405 memory: 4652 grad_norm: 3.0273 loss: 4.2285 loss_cls: 2.8415 loss_bbox: 1.3870 +2024/10/30 06:50:10 - mmengine - INFO - Epoch(train) [79][2150/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:01:42 time: 0.4204 data_time: 0.0418 memory: 4652 grad_norm: 3.1763 loss: 4.2094 loss_cls: 2.8319 loss_bbox: 1.3775 +2024/10/30 06:50:32 - mmengine - INFO - Epoch(train) [79][2200/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:01:20 time: 0.4289 data_time: 0.0495 memory: 4652 grad_norm: 3.1579 loss: 4.3044 loss_cls: 2.8679 loss_bbox: 1.4366 +2024/10/30 06:50:52 - mmengine - INFO - Epoch(train) [79][2250/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:00:58 time: 0.4163 data_time: 0.0389 memory: 4652 grad_norm: 3.0418 loss: 4.2553 loss_cls: 2.8327 loss_bbox: 1.4226 +2024/10/30 06:51:15 - mmengine - INFO - Epoch(train) [79][2300/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:00:37 time: 0.4474 data_time: 0.0439 memory: 4652 grad_norm: 3.0838 loss: 4.2445 loss_cls: 2.8109 loss_bbox: 1.4336 +2024/10/30 06:51:37 - mmengine - INFO - Epoch(train) [79][2350/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 15:00:16 time: 0.4390 data_time: 0.0561 memory: 4652 grad_norm: 3.1982 loss: 4.2148 loss_cls: 2.8024 loss_bbox: 1.4124 +2024/10/30 06:51:58 - mmengine - INFO - Epoch(train) [79][2400/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 14:59:54 time: 0.4140 data_time: 0.0394 memory: 4652 grad_norm: 3.0788 loss: 4.1666 loss_cls: 2.7913 loss_bbox: 1.3754 +2024/10/30 06:52:20 - mmengine - INFO - Epoch(train) [79][2450/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 14:59:33 time: 0.4468 data_time: 0.0452 memory: 4652 grad_norm: 2.8823 loss: 4.2038 loss_cls: 2.8196 loss_bbox: 1.3842 +2024/10/30 06:52:41 - mmengine - INFO - Epoch(train) [79][2500/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 14:59:12 time: 0.4218 data_time: 0.0406 memory: 4652 grad_norm: 2.8538 loss: 4.2644 loss_cls: 2.8828 loss_bbox: 1.3816 +2024/10/30 06:53:03 - mmengine - INFO - Epoch(train) [79][2550/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 14:58:51 time: 0.4433 data_time: 0.0456 memory: 4652 grad_norm: 3.0369 loss: 4.1980 loss_cls: 2.8047 loss_bbox: 1.3933 +2024/10/30 06:53:28 - mmengine - INFO - Epoch(train) [79][2600/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 14:58:31 time: 0.4909 data_time: 0.1110 memory: 4652 grad_norm: 2.8791 loss: 4.2055 loss_cls: 2.8162 loss_bbox: 1.3893 +2024/10/30 06:53:49 - mmengine - INFO - Epoch(train) [79][2650/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 14:58:10 time: 0.4318 data_time: 0.0439 memory: 4652 grad_norm: 3.1587 loss: 4.2149 loss_cls: 2.8449 loss_bbox: 1.3700 +2024/10/30 06:54:11 - mmengine - INFO - Epoch(train) [79][2700/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 14:57:48 time: 0.4369 data_time: 0.0470 memory: 4652 grad_norm: 2.9452 loss: 4.2245 loss_cls: 2.8111 loss_bbox: 1.4134 +2024/10/30 06:54:32 - mmengine - INFO - Epoch(train) [79][2750/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 14:57:27 time: 0.4223 data_time: 0.0418 memory: 4652 grad_norm: 3.0298 loss: 4.2775 loss_cls: 2.8522 loss_bbox: 1.4253 +2024/10/30 06:54:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 06:54:54 - mmengine - INFO - Epoch(train) [79][2800/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 14:57:05 time: 0.4383 data_time: 0.0420 memory: 4652 grad_norm: 3.0328 loss: 4.2131 loss_cls: 2.8035 loss_bbox: 1.4097 +2024/10/30 06:55:16 - mmengine - INFO - Epoch(train) [79][2850/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 14:56:44 time: 0.4268 data_time: 0.0478 memory: 4652 grad_norm: 3.2916 loss: 4.2029 loss_cls: 2.8116 loss_bbox: 1.3913 +2024/10/30 06:55:37 - mmengine - INFO - Epoch(train) [79][2900/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 14:56:23 time: 0.4318 data_time: 0.0422 memory: 4652 grad_norm: 2.9811 loss: 4.0982 loss_cls: 2.7444 loss_bbox: 1.3539 +2024/10/30 06:55:58 - mmengine - INFO - Epoch(train) [79][2950/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 14:56:01 time: 0.4151 data_time: 0.0396 memory: 4652 grad_norm: 3.0137 loss: 4.1863 loss_cls: 2.7861 loss_bbox: 1.4002 +2024/10/30 06:56:19 - mmengine - INFO - Epoch(train) [79][3000/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 14:55:39 time: 0.4168 data_time: 0.0390 memory: 4652 grad_norm: 2.9306 loss: 4.3221 loss_cls: 2.8437 loss_bbox: 1.4785 +2024/10/30 06:56:40 - mmengine - INFO - Epoch(train) [79][3050/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 14:55:17 time: 0.4279 data_time: 0.0469 memory: 4652 grad_norm: 3.0727 loss: 4.2122 loss_cls: 2.8036 loss_bbox: 1.4086 +2024/10/30 06:56:42 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 06:56:42 - mmengine - INFO - Saving checkpoint at 79 epochs +2024/10/30 06:57:08 - mmengine - INFO - Epoch(train) [80][ 50/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:54:54 time: 0.4297 data_time: 0.0552 memory: 4652 grad_norm: 3.3210 loss: 4.2071 loss_cls: 2.8113 loss_bbox: 1.3958 +2024/10/30 06:57:30 - mmengine - INFO - Epoch(train) [80][ 100/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:54:33 time: 0.4395 data_time: 0.0409 memory: 4652 grad_norm: 2.8987 loss: 4.2167 loss_cls: 2.7965 loss_bbox: 1.4202 +2024/10/30 06:57:51 - mmengine - INFO - Epoch(train) [80][ 150/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:54:11 time: 0.4113 data_time: 0.0407 memory: 4652 grad_norm: 3.0578 loss: 4.1706 loss_cls: 2.7975 loss_bbox: 1.3731 +2024/10/30 06:58:11 - mmengine - INFO - Epoch(train) [80][ 200/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:53:49 time: 0.4150 data_time: 0.0389 memory: 4652 grad_norm: 3.0826 loss: 4.1605 loss_cls: 2.7544 loss_bbox: 1.4060 +2024/10/30 06:58:33 - mmengine - INFO - Epoch(train) [80][ 250/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:53:28 time: 0.4388 data_time: 0.0386 memory: 4652 grad_norm: 3.2896 loss: 4.1641 loss_cls: 2.7561 loss_bbox: 1.4080 +2024/10/30 06:58:55 - mmengine - INFO - Epoch(train) [80][ 300/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:53:07 time: 0.4235 data_time: 0.0368 memory: 4652 grad_norm: 2.9916 loss: 4.1880 loss_cls: 2.7907 loss_bbox: 1.3973 +2024/10/30 06:59:16 - mmengine - INFO - Epoch(train) [80][ 350/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:52:45 time: 0.4352 data_time: 0.0518 memory: 4652 grad_norm: 3.0532 loss: 4.0912 loss_cls: 2.7348 loss_bbox: 1.3564 +2024/10/30 06:59:38 - mmengine - INFO - Epoch(train) [80][ 400/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:52:24 time: 0.4320 data_time: 0.0434 memory: 4652 grad_norm: 2.9626 loss: 4.2147 loss_cls: 2.8010 loss_bbox: 1.4137 +2024/10/30 07:00:00 - mmengine - INFO - Epoch(train) [80][ 450/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:52:03 time: 0.4455 data_time: 0.0510 memory: 4652 grad_norm: 3.3481 loss: 4.0598 loss_cls: 2.7251 loss_bbox: 1.3347 +2024/10/30 07:00:22 - mmengine - INFO - Epoch(train) [80][ 500/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:51:41 time: 0.4313 data_time: 0.0394 memory: 4652 grad_norm: 3.2745 loss: 4.1623 loss_cls: 2.7733 loss_bbox: 1.3890 +2024/10/30 07:00:43 - mmengine - INFO - Epoch(train) [80][ 550/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:51:20 time: 0.4261 data_time: 0.0380 memory: 4652 grad_norm: 3.1392 loss: 4.1919 loss_cls: 2.7979 loss_bbox: 1.3939 +2024/10/30 07:01:05 - mmengine - INFO - Epoch(train) [80][ 600/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:50:59 time: 0.4416 data_time: 0.0383 memory: 4652 grad_norm: 3.2386 loss: 4.2510 loss_cls: 2.8376 loss_bbox: 1.4134 +2024/10/30 07:01:27 - mmengine - INFO - Epoch(train) [80][ 650/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:50:38 time: 0.4365 data_time: 0.0445 memory: 4652 grad_norm: 2.9124 loss: 4.0910 loss_cls: 2.7592 loss_bbox: 1.3318 +2024/10/30 07:01:49 - mmengine - INFO - Epoch(train) [80][ 700/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:50:16 time: 0.4385 data_time: 0.0460 memory: 4652 grad_norm: 3.0017 loss: 4.1744 loss_cls: 2.7721 loss_bbox: 1.4023 +2024/10/30 07:02:04 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 07:02:11 - mmengine - INFO - Epoch(train) [80][ 750/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:49:55 time: 0.4306 data_time: 0.0476 memory: 4652 grad_norm: 3.1203 loss: 4.1027 loss_cls: 2.7346 loss_bbox: 1.3680 +2024/10/30 07:02:32 - mmengine - INFO - Epoch(train) [80][ 800/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:49:34 time: 0.4310 data_time: 0.0406 memory: 4652 grad_norm: 2.8921 loss: 4.2284 loss_cls: 2.8173 loss_bbox: 1.4111 +2024/10/30 07:02:55 - mmengine - INFO - Epoch(train) [80][ 850/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:49:13 time: 0.4532 data_time: 0.0409 memory: 4652 grad_norm: 3.2272 loss: 4.2833 loss_cls: 2.8217 loss_bbox: 1.4616 +2024/10/30 07:03:16 - mmengine - INFO - Epoch(train) [80][ 900/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:48:51 time: 0.4325 data_time: 0.0402 memory: 4652 grad_norm: 2.9334 loss: 4.2951 loss_cls: 2.8804 loss_bbox: 1.4147 +2024/10/30 07:03:39 - mmengine - INFO - Epoch(train) [80][ 950/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:48:31 time: 0.4541 data_time: 0.0526 memory: 4652 grad_norm: 3.1266 loss: 4.1343 loss_cls: 2.7931 loss_bbox: 1.3412 +2024/10/30 07:04:01 - mmengine - INFO - Epoch(train) [80][1000/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:48:09 time: 0.4270 data_time: 0.0400 memory: 4652 grad_norm: 3.0856 loss: 4.1964 loss_cls: 2.8204 loss_bbox: 1.3760 +2024/10/30 07:04:23 - mmengine - INFO - Epoch(train) [80][1050/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:47:48 time: 0.4397 data_time: 0.0398 memory: 4652 grad_norm: 3.1083 loss: 4.1933 loss_cls: 2.8353 loss_bbox: 1.3579 +2024/10/30 07:04:44 - mmengine - INFO - Epoch(train) [80][1100/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:47:27 time: 0.4337 data_time: 0.0468 memory: 4652 grad_norm: 3.2043 loss: 4.1161 loss_cls: 2.7565 loss_bbox: 1.3596 +2024/10/30 07:05:06 - mmengine - INFO - Epoch(train) [80][1150/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:47:05 time: 0.4339 data_time: 0.0437 memory: 4652 grad_norm: 3.1773 loss: 4.1795 loss_cls: 2.7880 loss_bbox: 1.3915 +2024/10/30 07:05:29 - mmengine - INFO - Epoch(train) [80][1200/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:46:44 time: 0.4493 data_time: 0.0481 memory: 4652 grad_norm: 2.9553 loss: 4.1435 loss_cls: 2.7912 loss_bbox: 1.3523 +2024/10/30 07:05:50 - mmengine - INFO - Epoch(train) [80][1250/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:46:23 time: 0.4358 data_time: 0.0452 memory: 4652 grad_norm: 3.0872 loss: 4.1893 loss_cls: 2.7810 loss_bbox: 1.4083 +2024/10/30 07:06:13 - mmengine - INFO - Epoch(train) [80][1300/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:46:02 time: 0.4446 data_time: 0.0473 memory: 4652 grad_norm: 3.2994 loss: 4.2644 loss_cls: 2.8438 loss_bbox: 1.4207 +2024/10/30 07:06:34 - mmengine - INFO - Epoch(train) [80][1350/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:45:41 time: 0.4331 data_time: 0.0389 memory: 4652 grad_norm: 2.8844 loss: 4.1967 loss_cls: 2.7841 loss_bbox: 1.4126 +2024/10/30 07:06:56 - mmengine - INFO - Epoch(train) [80][1400/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:45:19 time: 0.4322 data_time: 0.0394 memory: 4652 grad_norm: 3.1061 loss: 4.1863 loss_cls: 2.7862 loss_bbox: 1.4001 +2024/10/30 07:07:19 - mmengine - INFO - Epoch(train) [80][1450/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:44:59 time: 0.4559 data_time: 0.0395 memory: 4652 grad_norm: 3.1846 loss: 4.1855 loss_cls: 2.7972 loss_bbox: 1.3883 +2024/10/30 07:07:41 - mmengine - INFO - Epoch(train) [80][1500/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:44:37 time: 0.4432 data_time: 0.0397 memory: 4652 grad_norm: 3.1385 loss: 4.2275 loss_cls: 2.8249 loss_bbox: 1.4026 +2024/10/30 07:08:03 - mmengine - INFO - Epoch(train) [80][1550/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:44:17 time: 0.4506 data_time: 0.0433 memory: 4652 grad_norm: 3.1378 loss: 4.1851 loss_cls: 2.8063 loss_bbox: 1.3788 +2024/10/30 07:08:28 - mmengine - INFO - Epoch(train) [80][1600/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:43:57 time: 0.4985 data_time: 0.0813 memory: 4652 grad_norm: 3.1398 loss: 4.1775 loss_cls: 2.8046 loss_bbox: 1.3729 +2024/10/30 07:08:50 - mmengine - INFO - Epoch(train) [80][1650/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:43:36 time: 0.4377 data_time: 0.0358 memory: 4652 grad_norm: 2.9671 loss: 4.2026 loss_cls: 2.8019 loss_bbox: 1.4008 +2024/10/30 07:09:13 - mmengine - INFO - Epoch(train) [80][1700/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:43:15 time: 0.4499 data_time: 0.0378 memory: 4652 grad_norm: 3.1374 loss: 4.2016 loss_cls: 2.7963 loss_bbox: 1.4052 +2024/10/30 07:09:28 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 07:09:35 - mmengine - INFO - Epoch(train) [80][1750/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:42:54 time: 0.4417 data_time: 0.0355 memory: 4652 grad_norm: 2.9815 loss: 4.1698 loss_cls: 2.8174 loss_bbox: 1.3524 +2024/10/30 07:09:59 - mmengine - INFO - Epoch(train) [80][1800/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:42:33 time: 0.4719 data_time: 0.0425 memory: 4652 grad_norm: 3.1005 loss: 4.2312 loss_cls: 2.8064 loss_bbox: 1.4247 +2024/10/30 07:10:21 - mmengine - INFO - Epoch(train) [80][1850/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:42:12 time: 0.4491 data_time: 0.0416 memory: 4652 grad_norm: 3.1214 loss: 4.2409 loss_cls: 2.8342 loss_bbox: 1.4067 +2024/10/30 07:10:43 - mmengine - INFO - Epoch(train) [80][1900/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:41:51 time: 0.4453 data_time: 0.0358 memory: 4652 grad_norm: 3.0983 loss: 4.1352 loss_cls: 2.7598 loss_bbox: 1.3755 +2024/10/30 07:11:06 - mmengine - INFO - Epoch(train) [80][1950/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:41:30 time: 0.4477 data_time: 0.0366 memory: 4652 grad_norm: 3.0779 loss: 4.2013 loss_cls: 2.7980 loss_bbox: 1.4034 +2024/10/30 07:11:28 - mmengine - INFO - Epoch(train) [80][2000/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:41:09 time: 0.4465 data_time: 0.0380 memory: 4652 grad_norm: 3.1106 loss: 4.1350 loss_cls: 2.7780 loss_bbox: 1.3570 +2024/10/30 07:11:51 - mmengine - INFO - Epoch(train) [80][2050/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:40:49 time: 0.4582 data_time: 0.0375 memory: 4652 grad_norm: 3.1293 loss: 4.1335 loss_cls: 2.7643 loss_bbox: 1.3692 +2024/10/30 07:12:13 - mmengine - INFO - Epoch(train) [80][2100/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:40:28 time: 0.4494 data_time: 0.0441 memory: 4652 grad_norm: 3.2390 loss: 4.1355 loss_cls: 2.7686 loss_bbox: 1.3669 +2024/10/30 07:12:36 - mmengine - INFO - Epoch(train) [80][2150/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:40:07 time: 0.4473 data_time: 0.0447 memory: 4652 grad_norm: 3.2482 loss: 4.0868 loss_cls: 2.6931 loss_bbox: 1.3937 +2024/10/30 07:12:58 - mmengine - INFO - Epoch(train) [80][2200/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:39:46 time: 0.4426 data_time: 0.0409 memory: 4652 grad_norm: 2.8993 loss: 4.1819 loss_cls: 2.7847 loss_bbox: 1.3972 +2024/10/30 07:13:20 - mmengine - INFO - Epoch(train) [80][2250/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:39:25 time: 0.4455 data_time: 0.0408 memory: 4652 grad_norm: 3.1925 loss: 4.2859 loss_cls: 2.8753 loss_bbox: 1.4106 +2024/10/30 07:13:43 - mmengine - INFO - Epoch(train) [80][2300/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:39:04 time: 0.4607 data_time: 0.0369 memory: 4652 grad_norm: 3.0879 loss: 4.2261 loss_cls: 2.8088 loss_bbox: 1.4173 +2024/10/30 07:14:05 - mmengine - INFO - Epoch(train) [80][2350/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:38:43 time: 0.4410 data_time: 0.0365 memory: 4652 grad_norm: 3.0843 loss: 4.1607 loss_cls: 2.7676 loss_bbox: 1.3930 +2024/10/30 07:14:28 - mmengine - INFO - Epoch(train) [80][2400/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:38:22 time: 0.4580 data_time: 0.0462 memory: 4652 grad_norm: 3.0552 loss: 4.1992 loss_cls: 2.8208 loss_bbox: 1.3784 +2024/10/30 07:14:52 - mmengine - INFO - Epoch(train) [80][2450/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:38:02 time: 0.4666 data_time: 0.0503 memory: 4652 grad_norm: 3.2489 loss: 4.1799 loss_cls: 2.7804 loss_bbox: 1.3994 +2024/10/30 07:15:14 - mmengine - INFO - Epoch(train) [80][2500/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:37:41 time: 0.4420 data_time: 0.0376 memory: 4652 grad_norm: 2.9573 loss: 4.1719 loss_cls: 2.7847 loss_bbox: 1.3872 +2024/10/30 07:15:36 - mmengine - INFO - Epoch(train) [80][2550/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:37:20 time: 0.4528 data_time: 0.0464 memory: 4652 grad_norm: 3.1461 loss: 4.1318 loss_cls: 2.7885 loss_bbox: 1.3432 +2024/10/30 07:15:58 - mmengine - INFO - Epoch(train) [80][2600/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:36:58 time: 0.4224 data_time: 0.0373 memory: 4652 grad_norm: 3.1462 loss: 4.2214 loss_cls: 2.8022 loss_bbox: 1.4193 +2024/10/30 07:16:19 - mmengine - INFO - Epoch(train) [80][2650/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:36:37 time: 0.4365 data_time: 0.0414 memory: 4652 grad_norm: 3.0479 loss: 4.1505 loss_cls: 2.7589 loss_bbox: 1.3915 +2024/10/30 07:16:41 - mmengine - INFO - Epoch(train) [80][2700/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:36:16 time: 0.4386 data_time: 0.0390 memory: 4652 grad_norm: 3.0465 loss: 4.2210 loss_cls: 2.8071 loss_bbox: 1.4138 +2024/10/30 07:16:56 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 07:17:03 - mmengine - INFO - Epoch(train) [80][2750/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:35:54 time: 0.4379 data_time: 0.0421 memory: 4652 grad_norm: 3.2359 loss: 4.1897 loss_cls: 2.8086 loss_bbox: 1.3811 +2024/10/30 07:17:28 - mmengine - INFO - Epoch(train) [80][2800/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:35:35 time: 0.4953 data_time: 0.1026 memory: 4652 grad_norm: 3.2532 loss: 4.2251 loss_cls: 2.8061 loss_bbox: 1.4190 +2024/10/30 07:17:49 - mmengine - INFO - Epoch(train) [80][2850/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:35:13 time: 0.4213 data_time: 0.0406 memory: 4652 grad_norm: 2.8993 loss: 4.1698 loss_cls: 2.8082 loss_bbox: 1.3617 +2024/10/30 07:18:12 - mmengine - INFO - Epoch(train) [80][2900/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:34:52 time: 0.4484 data_time: 0.0436 memory: 4652 grad_norm: 3.3035 loss: 4.2029 loss_cls: 2.8312 loss_bbox: 1.3717 +2024/10/30 07:18:33 - mmengine - INFO - Epoch(train) [80][2950/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:34:31 time: 0.4316 data_time: 0.0372 memory: 4652 grad_norm: 2.9645 loss: 4.2604 loss_cls: 2.8304 loss_bbox: 1.4300 +2024/10/30 07:18:55 - mmengine - INFO - Epoch(train) [80][3000/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:34:09 time: 0.4343 data_time: 0.0376 memory: 4652 grad_norm: 3.2001 loss: 4.1320 loss_cls: 2.7275 loss_bbox: 1.4045 +2024/10/30 07:19:17 - mmengine - INFO - Epoch(train) [80][3050/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 14:33:48 time: 0.4379 data_time: 0.0466 memory: 4652 grad_norm: 2.9705 loss: 4.1702 loss_cls: 2.7917 loss_bbox: 1.3785 +2024/10/30 07:19:19 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 07:19:19 - mmengine - INFO - Saving checkpoint at 80 epochs +2024/10/30 07:19:27 - mmengine - INFO - Epoch(val) [80][50/79] eta: 0:00:02 time: 0.0737 data_time: 0.0077 memory: 4652 +2024/10/30 07:19:50 - mmengine - INFO - Evaluating bbox... +2024/10/30 07:21:08 - mmengine - INFO - bbox_mAP_copypaste: 0.215 0.372 0.223 0.056 0.248 0.347 +2024/10/30 07:21:09 - mmengine - INFO - Epoch(val) [80][79/79] coco/bbox_mAP: 0.2150 coco/bbox_mAP_50: 0.3720 coco/bbox_mAP_75: 0.2230 coco/bbox_mAP_s: 0.0560 coco/bbox_mAP_m: 0.2480 coco/bbox_mAP_l: 0.3470 data_time: 0.0071 time: 0.0722 +2024/10/30 07:21:32 - mmengine - INFO - Epoch(train) [81][ 50/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:33:25 time: 0.4468 data_time: 0.0628 memory: 4652 grad_norm: 3.0616 loss: 4.1682 loss_cls: 2.8221 loss_bbox: 1.3461 +2024/10/30 07:21:54 - mmengine - INFO - Epoch(train) [81][ 100/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:33:04 time: 0.4370 data_time: 0.0459 memory: 4652 grad_norm: 3.2015 loss: 4.1929 loss_cls: 2.7878 loss_bbox: 1.4051 +2024/10/30 07:22:15 - mmengine - INFO - Epoch(train) [81][ 150/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:32:42 time: 0.4159 data_time: 0.0389 memory: 4652 grad_norm: 2.8878 loss: 4.1180 loss_cls: 2.7594 loss_bbox: 1.3586 +2024/10/30 07:22:36 - mmengine - INFO - Epoch(train) [81][ 200/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:32:21 time: 0.4234 data_time: 0.0412 memory: 4652 grad_norm: 3.0276 loss: 4.1208 loss_cls: 2.7464 loss_bbox: 1.3744 +2024/10/30 07:22:57 - mmengine - INFO - Epoch(train) [81][ 250/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:31:59 time: 0.4154 data_time: 0.0393 memory: 4652 grad_norm: 3.4892 loss: 4.1601 loss_cls: 2.7919 loss_bbox: 1.3683 +2024/10/30 07:23:18 - mmengine - INFO - Epoch(train) [81][ 300/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:31:37 time: 0.4274 data_time: 0.0545 memory: 4652 grad_norm: 2.9562 loss: 4.0842 loss_cls: 2.7474 loss_bbox: 1.3367 +2024/10/30 07:23:39 - mmengine - INFO - Epoch(train) [81][ 350/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:31:16 time: 0.4250 data_time: 0.0386 memory: 4652 grad_norm: 2.9989 loss: 4.0656 loss_cls: 2.7213 loss_bbox: 1.3443 +2024/10/30 07:24:00 - mmengine - INFO - Epoch(train) [81][ 400/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:30:54 time: 0.4159 data_time: 0.0409 memory: 4652 grad_norm: 2.8403 loss: 4.1709 loss_cls: 2.7877 loss_bbox: 1.3832 +2024/10/30 07:24:21 - mmengine - INFO - Epoch(train) [81][ 450/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:30:33 time: 0.4262 data_time: 0.0411 memory: 4652 grad_norm: 2.9784 loss: 4.1709 loss_cls: 2.7851 loss_bbox: 1.3859 +2024/10/30 07:24:42 - mmengine - INFO - Epoch(train) [81][ 500/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:30:11 time: 0.4223 data_time: 0.0391 memory: 4652 grad_norm: 3.3348 loss: 4.1635 loss_cls: 2.8200 loss_bbox: 1.3435 +2024/10/30 07:25:03 - mmengine - INFO - Epoch(train) [81][ 550/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:29:49 time: 0.4199 data_time: 0.0384 memory: 4652 grad_norm: 3.0920 loss: 4.1332 loss_cls: 2.7663 loss_bbox: 1.3670 +2024/10/30 07:25:26 - mmengine - INFO - Epoch(train) [81][ 600/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:29:28 time: 0.4571 data_time: 0.0871 memory: 4652 grad_norm: 3.1069 loss: 4.0890 loss_cls: 2.7340 loss_bbox: 1.3549 +2024/10/30 07:25:47 - mmengine - INFO - Epoch(train) [81][ 650/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:29:07 time: 0.4210 data_time: 0.0425 memory: 4652 grad_norm: 2.8932 loss: 4.2359 loss_cls: 2.8236 loss_bbox: 1.4124 +2024/10/30 07:26:00 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 07:26:09 - mmengine - INFO - Epoch(train) [81][ 700/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:28:45 time: 0.4246 data_time: 0.0381 memory: 4652 grad_norm: 3.2619 loss: 4.1423 loss_cls: 2.7753 loss_bbox: 1.3671 +2024/10/30 07:26:30 - mmengine - INFO - Epoch(train) [81][ 750/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:28:24 time: 0.4182 data_time: 0.0379 memory: 4652 grad_norm: 2.9384 loss: 4.1700 loss_cls: 2.7807 loss_bbox: 1.3893 +2024/10/30 07:26:51 - mmengine - INFO - Epoch(train) [81][ 800/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:28:02 time: 0.4254 data_time: 0.0399 memory: 4652 grad_norm: 3.0528 loss: 4.1498 loss_cls: 2.7781 loss_bbox: 1.3717 +2024/10/30 07:27:12 - mmengine - INFO - Epoch(train) [81][ 850/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:27:40 time: 0.4199 data_time: 0.0417 memory: 4652 grad_norm: 3.1155 loss: 4.1664 loss_cls: 2.7656 loss_bbox: 1.4008 +2024/10/30 07:27:34 - mmengine - INFO - Epoch(train) [81][ 900/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:27:19 time: 0.4396 data_time: 0.0392 memory: 4652 grad_norm: 3.0277 loss: 4.1502 loss_cls: 2.7864 loss_bbox: 1.3638 +2024/10/30 07:27:55 - mmengine - INFO - Epoch(train) [81][ 950/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:26:57 time: 0.4234 data_time: 0.0411 memory: 4652 grad_norm: 3.4813 loss: 4.1497 loss_cls: 2.7762 loss_bbox: 1.3735 +2024/10/30 07:28:17 - mmengine - INFO - Epoch(train) [81][1000/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:26:36 time: 0.4335 data_time: 0.0451 memory: 4652 grad_norm: 2.9578 loss: 4.1854 loss_cls: 2.8162 loss_bbox: 1.3692 +2024/10/30 07:28:39 - mmengine - INFO - Epoch(train) [81][1050/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:26:15 time: 0.4397 data_time: 0.0429 memory: 4652 grad_norm: 2.9066 loss: 4.1525 loss_cls: 2.7899 loss_bbox: 1.3626 +2024/10/30 07:29:01 - mmengine - INFO - Epoch(train) [81][1100/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:25:54 time: 0.4451 data_time: 0.0608 memory: 4652 grad_norm: 3.0292 loss: 4.0186 loss_cls: 2.7023 loss_bbox: 1.3164 +2024/10/30 07:29:22 - mmengine - INFO - Epoch(train) [81][1150/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:25:32 time: 0.4250 data_time: 0.0394 memory: 4652 grad_norm: 3.2650 loss: 4.0915 loss_cls: 2.7539 loss_bbox: 1.3376 +2024/10/30 07:29:43 - mmengine - INFO - Epoch(train) [81][1200/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:25:11 time: 0.4224 data_time: 0.0370 memory: 4652 grad_norm: 2.9067 loss: 4.2586 loss_cls: 2.8259 loss_bbox: 1.4327 +2024/10/30 07:30:05 - mmengine - INFO - Epoch(train) [81][1250/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:24:49 time: 0.4331 data_time: 0.0503 memory: 4652 grad_norm: 3.0303 loss: 4.1852 loss_cls: 2.7870 loss_bbox: 1.3982 +2024/10/30 07:30:26 - mmengine - INFO - Epoch(train) [81][1300/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:24:28 time: 0.4212 data_time: 0.0389 memory: 4652 grad_norm: 2.9288 loss: 4.0987 loss_cls: 2.7657 loss_bbox: 1.3330 +2024/10/30 07:30:47 - mmengine - INFO - Epoch(train) [81][1350/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:24:06 time: 0.4218 data_time: 0.0408 memory: 4652 grad_norm: 3.4912 loss: 4.0917 loss_cls: 2.7628 loss_bbox: 1.3288 +2024/10/30 07:31:09 - mmengine - INFO - Epoch(train) [81][1400/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:23:45 time: 0.4317 data_time: 0.0486 memory: 4652 grad_norm: 2.8975 loss: 4.1702 loss_cls: 2.8175 loss_bbox: 1.3526 +2024/10/30 07:31:30 - mmengine - INFO - Epoch(train) [81][1450/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:23:23 time: 0.4199 data_time: 0.0381 memory: 4652 grad_norm: 3.1752 loss: 4.1369 loss_cls: 2.7704 loss_bbox: 1.3665 +2024/10/30 07:31:52 - mmengine - INFO - Epoch(train) [81][1500/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:23:02 time: 0.4319 data_time: 0.0477 memory: 4652 grad_norm: 3.2839 loss: 4.0963 loss_cls: 2.7292 loss_bbox: 1.3671 +2024/10/30 07:32:13 - mmengine - INFO - Epoch(train) [81][1550/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:22:40 time: 0.4339 data_time: 0.0415 memory: 4652 grad_norm: 3.1239 loss: 4.1253 loss_cls: 2.7430 loss_bbox: 1.3822 +2024/10/30 07:32:35 - mmengine - INFO - Epoch(train) [81][1600/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:22:19 time: 0.4259 data_time: 0.0402 memory: 4652 grad_norm: 3.1607 loss: 4.1732 loss_cls: 2.7698 loss_bbox: 1.4034 +2024/10/30 07:32:56 - mmengine - INFO - Epoch(train) [81][1650/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:21:57 time: 0.4299 data_time: 0.0402 memory: 4652 grad_norm: 2.8172 loss: 4.1389 loss_cls: 2.7912 loss_bbox: 1.3477 +2024/10/30 07:33:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 07:33:17 - mmengine - INFO - Epoch(train) [81][1700/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:21:36 time: 0.4189 data_time: 0.0417 memory: 4652 grad_norm: 3.0381 loss: 4.1049 loss_cls: 2.7434 loss_bbox: 1.3614 +2024/10/30 07:33:39 - mmengine - INFO - Epoch(train) [81][1750/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:21:14 time: 0.4329 data_time: 0.0397 memory: 4652 grad_norm: 3.1125 loss: 4.1668 loss_cls: 2.8028 loss_bbox: 1.3640 +2024/10/30 07:34:00 - mmengine - INFO - Epoch(train) [81][1800/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:20:53 time: 0.4231 data_time: 0.0410 memory: 4652 grad_norm: 3.1365 loss: 4.1308 loss_cls: 2.7569 loss_bbox: 1.3739 +2024/10/30 07:34:22 - mmengine - INFO - Epoch(train) [81][1850/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:20:31 time: 0.4333 data_time: 0.0451 memory: 4652 grad_norm: 2.9884 loss: 4.1909 loss_cls: 2.7864 loss_bbox: 1.4046 +2024/10/30 07:34:43 - mmengine - INFO - Epoch(train) [81][1900/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:20:10 time: 0.4215 data_time: 0.0428 memory: 4652 grad_norm: 3.3599 loss: 4.0410 loss_cls: 2.7140 loss_bbox: 1.3270 +2024/10/30 07:35:04 - mmengine - INFO - Epoch(train) [81][1950/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:19:48 time: 0.4299 data_time: 0.0494 memory: 4652 grad_norm: 3.1912 loss: 4.1848 loss_cls: 2.7803 loss_bbox: 1.4045 +2024/10/30 07:35:26 - mmengine - INFO - Epoch(train) [81][2000/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:19:27 time: 0.4378 data_time: 0.0549 memory: 4652 grad_norm: 3.1635 loss: 4.1097 loss_cls: 2.7574 loss_bbox: 1.3523 +2024/10/30 07:35:47 - mmengine - INFO - Epoch(train) [81][2050/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:19:05 time: 0.4237 data_time: 0.0411 memory: 4652 grad_norm: 2.9232 loss: 4.0692 loss_cls: 2.7202 loss_bbox: 1.3490 +2024/10/30 07:36:09 - mmengine - INFO - Epoch(train) [81][2100/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:18:44 time: 0.4351 data_time: 0.0555 memory: 4652 grad_norm: 3.1994 loss: 4.2633 loss_cls: 2.8556 loss_bbox: 1.4077 +2024/10/30 07:36:30 - mmengine - INFO - Epoch(train) [81][2150/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:18:22 time: 0.4224 data_time: 0.0441 memory: 4652 grad_norm: 3.0660 loss: 4.1696 loss_cls: 2.7754 loss_bbox: 1.3942 +2024/10/30 07:36:52 - mmengine - INFO - Epoch(train) [81][2200/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:18:01 time: 0.4297 data_time: 0.0475 memory: 4652 grad_norm: 3.1805 loss: 4.1609 loss_cls: 2.7564 loss_bbox: 1.4046 +2024/10/30 07:37:13 - mmengine - INFO - Epoch(train) [81][2250/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:17:39 time: 0.4168 data_time: 0.0394 memory: 4652 grad_norm: 3.0730 loss: 4.1681 loss_cls: 2.7786 loss_bbox: 1.3895 +2024/10/30 07:37:34 - mmengine - INFO - Epoch(train) [81][2300/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:17:18 time: 0.4265 data_time: 0.0471 memory: 4652 grad_norm: 3.1307 loss: 4.2189 loss_cls: 2.7944 loss_bbox: 1.4245 +2024/10/30 07:37:56 - mmengine - INFO - Epoch(train) [81][2350/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:16:56 time: 0.4298 data_time: 0.0488 memory: 4652 grad_norm: 2.9756 loss: 4.1901 loss_cls: 2.7941 loss_bbox: 1.3960 +2024/10/30 07:38:16 - mmengine - INFO - Epoch(train) [81][2400/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:16:34 time: 0.4169 data_time: 0.0394 memory: 4652 grad_norm: 3.1176 loss: 4.0994 loss_cls: 2.7484 loss_bbox: 1.3509 +2024/10/30 07:38:38 - mmengine - INFO - Epoch(train) [81][2450/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:16:13 time: 0.4326 data_time: 0.0509 memory: 4652 grad_norm: 3.0213 loss: 4.1486 loss_cls: 2.7426 loss_bbox: 1.4059 +2024/10/30 07:38:59 - mmengine - INFO - Epoch(train) [81][2500/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:15:51 time: 0.4116 data_time: 0.0437 memory: 4652 grad_norm: 2.9622 loss: 4.1644 loss_cls: 2.7933 loss_bbox: 1.3712 +2024/10/30 07:39:20 - mmengine - INFO - Epoch(train) [81][2550/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:15:30 time: 0.4347 data_time: 0.0425 memory: 4652 grad_norm: 3.5754 loss: 4.1612 loss_cls: 2.7897 loss_bbox: 1.3715 +2024/10/30 07:39:41 - mmengine - INFO - Epoch(train) [81][2600/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:15:08 time: 0.4071 data_time: 0.0407 memory: 4652 grad_norm: 3.0832 loss: 4.1516 loss_cls: 2.7715 loss_bbox: 1.3801 +2024/10/30 07:40:02 - mmengine - INFO - Epoch(train) [81][2650/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:14:46 time: 0.4145 data_time: 0.0401 memory: 4652 grad_norm: 3.2132 loss: 4.1493 loss_cls: 2.7499 loss_bbox: 1.3994 +2024/10/30 07:40:21 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 07:40:28 - mmengine - INFO - Epoch(train) [81][2700/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:14:27 time: 0.5326 data_time: 0.1581 memory: 4652 grad_norm: 3.4271 loss: 4.2001 loss_cls: 2.7851 loss_bbox: 1.4149 +2024/10/30 07:40:50 - mmengine - INFO - Epoch(train) [81][2750/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:14:06 time: 0.4288 data_time: 0.0457 memory: 4652 grad_norm: 3.0071 loss: 4.1785 loss_cls: 2.7765 loss_bbox: 1.4020 +2024/10/30 07:41:11 - mmengine - INFO - Epoch(train) [81][2800/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:13:44 time: 0.4291 data_time: 0.0475 memory: 4652 grad_norm: 3.2315 loss: 4.0980 loss_cls: 2.7539 loss_bbox: 1.3442 +2024/10/30 07:41:32 - mmengine - INFO - Epoch(train) [81][2850/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:13:22 time: 0.4129 data_time: 0.0392 memory: 4652 grad_norm: 2.8983 loss: 4.1064 loss_cls: 2.7438 loss_bbox: 1.3626 +2024/10/30 07:41:53 - mmengine - INFO - Epoch(train) [81][2900/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:13:00 time: 0.4133 data_time: 0.0415 memory: 4652 grad_norm: 2.9395 loss: 4.1871 loss_cls: 2.7900 loss_bbox: 1.3972 +2024/10/30 07:42:14 - mmengine - INFO - Epoch(train) [81][2950/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:12:39 time: 0.4222 data_time: 0.0400 memory: 4652 grad_norm: 3.0301 loss: 4.2078 loss_cls: 2.8163 loss_bbox: 1.3915 +2024/10/30 07:42:35 - mmengine - INFO - Epoch(train) [81][3000/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:12:17 time: 0.4184 data_time: 0.0405 memory: 4652 grad_norm: 3.0144 loss: 4.1759 loss_cls: 2.7867 loss_bbox: 1.3892 +2024/10/30 07:42:56 - mmengine - INFO - Epoch(train) [81][3050/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 14:11:55 time: 0.4196 data_time: 0.0426 memory: 4652 grad_norm: 3.3092 loss: 4.1415 loss_cls: 2.7496 loss_bbox: 1.3920 +2024/10/30 07:42:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 07:42:57 - mmengine - INFO - Saving checkpoint at 81 epochs +2024/10/30 07:43:27 - mmengine - INFO - Epoch(train) [82][ 50/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:11:32 time: 0.4290 data_time: 0.0568 memory: 4652 grad_norm: 3.1064 loss: 4.0985 loss_cls: 2.7486 loss_bbox: 1.3499 +2024/10/30 07:43:48 - mmengine - INFO - Epoch(train) [82][ 100/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:11:10 time: 0.4098 data_time: 0.0491 memory: 4652 grad_norm: 3.3219 loss: 4.1630 loss_cls: 2.7872 loss_bbox: 1.3758 +2024/10/30 07:44:09 - mmengine - INFO - Epoch(train) [82][ 150/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:10:49 time: 0.4263 data_time: 0.0424 memory: 4652 grad_norm: 2.8837 loss: 4.1983 loss_cls: 2.8013 loss_bbox: 1.3971 +2024/10/30 07:44:29 - mmengine - INFO - Epoch(train) [82][ 200/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:10:27 time: 0.4044 data_time: 0.0409 memory: 4652 grad_norm: 2.9493 loss: 4.2615 loss_cls: 2.8294 loss_bbox: 1.4321 +2024/10/30 07:44:50 - mmengine - INFO - Epoch(train) [82][ 250/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:10:05 time: 0.4196 data_time: 0.0400 memory: 4652 grad_norm: 3.2734 loss: 4.2342 loss_cls: 2.8149 loss_bbox: 1.4192 +2024/10/30 07:45:11 - mmengine - INFO - Epoch(train) [82][ 300/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:09:43 time: 0.4168 data_time: 0.0411 memory: 4652 grad_norm: 3.1809 loss: 4.1104 loss_cls: 2.7505 loss_bbox: 1.3599 +2024/10/30 07:45:33 - mmengine - INFO - Epoch(train) [82][ 350/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:09:22 time: 0.4393 data_time: 0.0521 memory: 4652 grad_norm: 2.8834 loss: 4.1299 loss_cls: 2.7507 loss_bbox: 1.3792 +2024/10/30 07:45:55 - mmengine - INFO - Epoch(train) [82][ 400/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:09:00 time: 0.4280 data_time: 0.0440 memory: 4652 grad_norm: 2.9720 loss: 4.0458 loss_cls: 2.6926 loss_bbox: 1.3531 +2024/10/30 07:46:15 - mmengine - INFO - Epoch(train) [82][ 450/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:08:39 time: 0.4115 data_time: 0.0435 memory: 4652 grad_norm: 2.8474 loss: 4.0587 loss_cls: 2.7427 loss_bbox: 1.3160 +2024/10/30 07:46:37 - mmengine - INFO - Epoch(train) [82][ 500/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:08:17 time: 0.4291 data_time: 0.0431 memory: 4652 grad_norm: 3.2986 loss: 4.3759 loss_cls: 2.9168 loss_bbox: 1.4591 +2024/10/30 07:46:58 - mmengine - INFO - Epoch(train) [82][ 550/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:07:55 time: 0.4187 data_time: 0.0438 memory: 4652 grad_norm: 3.0067 loss: 4.1344 loss_cls: 2.7433 loss_bbox: 1.3911 +2024/10/30 07:47:20 - mmengine - INFO - Epoch(train) [82][ 600/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:07:34 time: 0.4379 data_time: 0.0487 memory: 4652 grad_norm: 3.2776 loss: 4.1406 loss_cls: 2.7781 loss_bbox: 1.3624 +2024/10/30 07:47:31 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 07:47:41 - mmengine - INFO - Epoch(train) [82][ 650/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:07:13 time: 0.4228 data_time: 0.0466 memory: 4652 grad_norm: 3.0848 loss: 4.2071 loss_cls: 2.7955 loss_bbox: 1.4116 +2024/10/30 07:48:02 - mmengine - INFO - Epoch(train) [82][ 700/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:06:51 time: 0.4185 data_time: 0.0412 memory: 4652 grad_norm: 3.0372 loss: 4.0768 loss_cls: 2.7468 loss_bbox: 1.3300 +2024/10/30 07:48:27 - mmengine - INFO - Epoch(train) [82][ 750/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:06:31 time: 0.5088 data_time: 0.1163 memory: 4652 grad_norm: 3.2751 loss: 4.1307 loss_cls: 2.7717 loss_bbox: 1.3590 +2024/10/30 07:48:48 - mmengine - INFO - Epoch(train) [82][ 800/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:06:10 time: 0.4206 data_time: 0.0418 memory: 4652 grad_norm: 2.9974 loss: 4.1778 loss_cls: 2.8089 loss_bbox: 1.3689 +2024/10/30 07:49:10 - mmengine - INFO - Epoch(train) [82][ 850/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:05:48 time: 0.4339 data_time: 0.0452 memory: 4652 grad_norm: 3.0538 loss: 4.0987 loss_cls: 2.7470 loss_bbox: 1.3517 +2024/10/30 07:49:31 - mmengine - INFO - Epoch(train) [82][ 900/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:05:26 time: 0.4083 data_time: 0.0396 memory: 4652 grad_norm: 3.2320 loss: 4.1740 loss_cls: 2.7924 loss_bbox: 1.3816 +2024/10/30 07:49:52 - mmengine - INFO - Epoch(train) [82][ 950/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:05:05 time: 0.4250 data_time: 0.0449 memory: 4652 grad_norm: 3.0031 loss: 4.2149 loss_cls: 2.8067 loss_bbox: 1.4081 +2024/10/30 07:50:13 - mmengine - INFO - Epoch(train) [82][1000/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:04:43 time: 0.4221 data_time: 0.0415 memory: 4652 grad_norm: 3.0756 loss: 4.1884 loss_cls: 2.8124 loss_bbox: 1.3760 +2024/10/30 07:50:34 - mmengine - INFO - Epoch(train) [82][1050/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:04:21 time: 0.4189 data_time: 0.0409 memory: 4652 grad_norm: 2.9778 loss: 4.1055 loss_cls: 2.7226 loss_bbox: 1.3829 +2024/10/30 07:50:55 - mmengine - INFO - Epoch(train) [82][1100/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:04:00 time: 0.4296 data_time: 0.0553 memory: 4652 grad_norm: 3.1397 loss: 4.1780 loss_cls: 2.7958 loss_bbox: 1.3822 +2024/10/30 07:51:17 - mmengine - INFO - Epoch(train) [82][1150/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:03:38 time: 0.4224 data_time: 0.0428 memory: 4652 grad_norm: 2.9917 loss: 4.1775 loss_cls: 2.7937 loss_bbox: 1.3838 +2024/10/30 07:51:37 - mmengine - INFO - Epoch(train) [82][1200/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:03:17 time: 0.4170 data_time: 0.0397 memory: 4652 grad_norm: 3.2667 loss: 4.1355 loss_cls: 2.7559 loss_bbox: 1.3795 +2024/10/30 07:51:59 - mmengine - INFO - Epoch(train) [82][1250/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:02:55 time: 0.4336 data_time: 0.0513 memory: 4652 grad_norm: 3.2068 loss: 4.1523 loss_cls: 2.7864 loss_bbox: 1.3659 +2024/10/30 07:52:21 - mmengine - INFO - Epoch(train) [82][1300/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:02:34 time: 0.4322 data_time: 0.0396 memory: 4652 grad_norm: 3.1820 loss: 4.0950 loss_cls: 2.7564 loss_bbox: 1.3386 +2024/10/30 07:52:42 - mmengine - INFO - Epoch(train) [82][1350/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:02:12 time: 0.4205 data_time: 0.0402 memory: 4652 grad_norm: 3.3189 loss: 4.1110 loss_cls: 2.7435 loss_bbox: 1.3676 +2024/10/30 07:53:03 - mmengine - INFO - Epoch(train) [82][1400/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:01:50 time: 0.4180 data_time: 0.0389 memory: 4652 grad_norm: 3.2454 loss: 4.1571 loss_cls: 2.7784 loss_bbox: 1.3787 +2024/10/30 07:53:26 - mmengine - INFO - Epoch(train) [82][1450/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:01:30 time: 0.4668 data_time: 0.0849 memory: 4652 grad_norm: 2.9117 loss: 4.1856 loss_cls: 2.8053 loss_bbox: 1.3803 +2024/10/30 07:53:47 - mmengine - INFO - Epoch(train) [82][1500/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:01:08 time: 0.4258 data_time: 0.0458 memory: 4652 grad_norm: 2.9060 loss: 4.2164 loss_cls: 2.8173 loss_bbox: 1.3991 +2024/10/30 07:54:09 - mmengine - INFO - Epoch(train) [82][1550/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:00:47 time: 0.4378 data_time: 0.0455 memory: 4652 grad_norm: 3.2682 loss: 4.1127 loss_cls: 2.7798 loss_bbox: 1.3329 +2024/10/30 07:54:31 - mmengine - INFO - Epoch(train) [82][1600/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:00:26 time: 0.4310 data_time: 0.0458 memory: 4652 grad_norm: 3.0696 loss: 4.0959 loss_cls: 2.7382 loss_bbox: 1.3578 +2024/10/30 07:54:42 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 07:54:53 - mmengine - INFO - Epoch(train) [82][1650/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 14:00:04 time: 0.4348 data_time: 0.0398 memory: 4652 grad_norm: 3.0836 loss: 4.1538 loss_cls: 2.7611 loss_bbox: 1.3927 +2024/10/30 07:55:14 - mmengine - INFO - Epoch(train) [82][1700/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:59:43 time: 0.4210 data_time: 0.0453 memory: 4652 grad_norm: 3.1473 loss: 4.1383 loss_cls: 2.7814 loss_bbox: 1.3570 +2024/10/30 07:55:35 - mmengine - INFO - Epoch(train) [82][1750/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:59:21 time: 0.4209 data_time: 0.0401 memory: 4652 grad_norm: 3.0088 loss: 4.1255 loss_cls: 2.7679 loss_bbox: 1.3576 +2024/10/30 07:55:56 - mmengine - INFO - Epoch(train) [82][1800/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:59:00 time: 0.4337 data_time: 0.0397 memory: 4652 grad_norm: 3.0134 loss: 4.0915 loss_cls: 2.7347 loss_bbox: 1.3568 +2024/10/30 07:56:18 - mmengine - INFO - Epoch(train) [82][1850/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:58:38 time: 0.4305 data_time: 0.0520 memory: 4652 grad_norm: 3.0109 loss: 4.1168 loss_cls: 2.7807 loss_bbox: 1.3361 +2024/10/30 07:56:40 - mmengine - INFO - Epoch(train) [82][1900/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:58:17 time: 0.4363 data_time: 0.0378 memory: 4652 grad_norm: 2.9630 loss: 4.0973 loss_cls: 2.7451 loss_bbox: 1.3523 +2024/10/30 07:57:02 - mmengine - INFO - Epoch(train) [82][1950/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:57:56 time: 0.4370 data_time: 0.0385 memory: 4652 grad_norm: 3.2733 loss: 4.2205 loss_cls: 2.8037 loss_bbox: 1.4167 +2024/10/30 07:57:27 - mmengine - INFO - Epoch(train) [82][2000/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:57:36 time: 0.5052 data_time: 0.1236 memory: 4652 grad_norm: 3.1523 loss: 4.1804 loss_cls: 2.8110 loss_bbox: 1.3694 +2024/10/30 07:57:48 - mmengine - INFO - Epoch(train) [82][2050/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:57:15 time: 0.4238 data_time: 0.0411 memory: 4652 grad_norm: 3.1363 loss: 4.1100 loss_cls: 2.7467 loss_bbox: 1.3633 +2024/10/30 07:58:09 - mmengine - INFO - Epoch(train) [82][2100/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:56:53 time: 0.4250 data_time: 0.0446 memory: 4652 grad_norm: 3.1797 loss: 4.1161 loss_cls: 2.7198 loss_bbox: 1.3963 +2024/10/30 07:58:31 - mmengine - INFO - Epoch(train) [82][2150/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:56:32 time: 0.4310 data_time: 0.0421 memory: 4652 grad_norm: 2.9401 loss: 4.0969 loss_cls: 2.7241 loss_bbox: 1.3728 +2024/10/30 07:58:53 - mmengine - INFO - Epoch(train) [82][2200/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:56:10 time: 0.4384 data_time: 0.0416 memory: 4652 grad_norm: 3.0631 loss: 4.1461 loss_cls: 2.7733 loss_bbox: 1.3728 +2024/10/30 07:59:14 - mmengine - INFO - Epoch(train) [82][2250/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:55:49 time: 0.4211 data_time: 0.0388 memory: 4652 grad_norm: 3.3062 loss: 4.1302 loss_cls: 2.7598 loss_bbox: 1.3705 +2024/10/30 07:59:35 - mmengine - INFO - Epoch(train) [82][2300/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:55:27 time: 0.4200 data_time: 0.0389 memory: 4652 grad_norm: 3.2740 loss: 4.0209 loss_cls: 2.6984 loss_bbox: 1.3224 +2024/10/30 07:59:56 - mmengine - INFO - Epoch(train) [82][2350/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:55:06 time: 0.4270 data_time: 0.0384 memory: 4652 grad_norm: 3.0513 loss: 4.1080 loss_cls: 2.7479 loss_bbox: 1.3601 +2024/10/30 08:00:19 - mmengine - INFO - Epoch(train) [82][2400/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:54:45 time: 0.4498 data_time: 0.0583 memory: 4652 grad_norm: 3.3280 loss: 4.1930 loss_cls: 2.7970 loss_bbox: 1.3960 +2024/10/30 08:00:40 - mmengine - INFO - Epoch(train) [82][2450/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:54:23 time: 0.4263 data_time: 0.0480 memory: 4652 grad_norm: 2.9136 loss: 4.1372 loss_cls: 2.7446 loss_bbox: 1.3926 +2024/10/30 08:01:01 - mmengine - INFO - Epoch(train) [82][2500/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:54:01 time: 0.4155 data_time: 0.0382 memory: 4652 grad_norm: 3.3806 loss: 4.1248 loss_cls: 2.7661 loss_bbox: 1.3588 +2024/10/30 08:01:22 - mmengine - INFO - Epoch(train) [82][2550/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:53:40 time: 0.4226 data_time: 0.0392 memory: 4652 grad_norm: 3.2928 loss: 4.2290 loss_cls: 2.8269 loss_bbox: 1.4021 +2024/10/30 08:01:43 - mmengine - INFO - Epoch(train) [82][2600/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:53:18 time: 0.4203 data_time: 0.0396 memory: 4652 grad_norm: 3.3073 loss: 4.0095 loss_cls: 2.7064 loss_bbox: 1.3031 +2024/10/30 08:01:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 08:02:05 - mmengine - INFO - Epoch(train) [82][2650/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:52:57 time: 0.4359 data_time: 0.0404 memory: 4652 grad_norm: 3.1898 loss: 4.1033 loss_cls: 2.7749 loss_bbox: 1.3284 +2024/10/30 08:02:29 - mmengine - INFO - Epoch(train) [82][2700/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:52:36 time: 0.4714 data_time: 0.0763 memory: 4652 grad_norm: 3.2142 loss: 4.1202 loss_cls: 2.7702 loss_bbox: 1.3500 +2024/10/30 08:02:50 - mmengine - INFO - Epoch(train) [82][2750/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:52:15 time: 0.4213 data_time: 0.0429 memory: 4652 grad_norm: 2.7690 loss: 4.3316 loss_cls: 2.8694 loss_bbox: 1.4622 +2024/10/30 08:03:12 - mmengine - INFO - Epoch(train) [82][2800/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:51:53 time: 0.4398 data_time: 0.0430 memory: 4652 grad_norm: 3.2851 loss: 4.1736 loss_cls: 2.7736 loss_bbox: 1.4000 +2024/10/30 08:03:33 - mmengine - INFO - Epoch(train) [82][2850/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:51:32 time: 0.4175 data_time: 0.0388 memory: 4652 grad_norm: 3.3645 loss: 4.1306 loss_cls: 2.7560 loss_bbox: 1.3746 +2024/10/30 08:03:54 - mmengine - INFO - Epoch(train) [82][2900/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:51:10 time: 0.4292 data_time: 0.0433 memory: 4652 grad_norm: 3.0474 loss: 4.0810 loss_cls: 2.7293 loss_bbox: 1.3517 +2024/10/30 08:04:15 - mmengine - INFO - Epoch(train) [82][2950/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:50:49 time: 0.4258 data_time: 0.0438 memory: 4652 grad_norm: 3.1439 loss: 4.1467 loss_cls: 2.7669 loss_bbox: 1.3798 +2024/10/30 08:04:36 - mmengine - INFO - Epoch(train) [82][3000/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:50:27 time: 0.4212 data_time: 0.0388 memory: 4652 grad_norm: 2.9029 loss: 4.1776 loss_cls: 2.7799 loss_bbox: 1.3977 +2024/10/30 08:04:58 - mmengine - INFO - Epoch(train) [82][3050/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 13:50:05 time: 0.4231 data_time: 0.0407 memory: 4652 grad_norm: 3.3225 loss: 4.1676 loss_cls: 2.7856 loss_bbox: 1.3820 +2024/10/30 08:04:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 08:04:59 - mmengine - INFO - Saving checkpoint at 82 epochs +2024/10/30 08:05:30 - mmengine - INFO - Epoch(train) [83][ 50/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:49:42 time: 0.4182 data_time: 0.0539 memory: 4652 grad_norm: 3.1579 loss: 4.1028 loss_cls: 2.7435 loss_bbox: 1.3593 +2024/10/30 08:05:52 - mmengine - INFO - Epoch(train) [83][ 100/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:49:21 time: 0.4351 data_time: 0.0446 memory: 4652 grad_norm: 3.0531 loss: 4.0901 loss_cls: 2.7481 loss_bbox: 1.3420 +2024/10/30 08:06:12 - mmengine - INFO - Epoch(train) [83][ 150/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:48:59 time: 0.4064 data_time: 0.0420 memory: 4652 grad_norm: 3.1306 loss: 4.0293 loss_cls: 2.6838 loss_bbox: 1.3455 +2024/10/30 08:06:33 - mmengine - INFO - Epoch(train) [83][ 200/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:48:37 time: 0.4120 data_time: 0.0416 memory: 4652 grad_norm: 3.0249 loss: 4.0995 loss_cls: 2.7107 loss_bbox: 1.3888 +2024/10/30 08:06:53 - mmengine - INFO - Epoch(train) [83][ 250/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:48:15 time: 0.4145 data_time: 0.0489 memory: 4652 grad_norm: 2.9660 loss: 3.9850 loss_cls: 2.6635 loss_bbox: 1.3216 +2024/10/30 08:07:13 - mmengine - INFO - Epoch(train) [83][ 300/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:47:53 time: 0.4003 data_time: 0.0454 memory: 4652 grad_norm: 3.2347 loss: 4.0110 loss_cls: 2.6845 loss_bbox: 1.3264 +2024/10/30 08:07:34 - mmengine - INFO - Epoch(train) [83][ 350/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:47:31 time: 0.4125 data_time: 0.0461 memory: 4652 grad_norm: 3.0906 loss: 4.1364 loss_cls: 2.7637 loss_bbox: 1.3727 +2024/10/30 08:07:54 - mmengine - INFO - Epoch(train) [83][ 400/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:47:09 time: 0.4069 data_time: 0.0488 memory: 4652 grad_norm: 3.1043 loss: 4.1230 loss_cls: 2.7564 loss_bbox: 1.3666 +2024/10/30 08:08:15 - mmengine - INFO - Epoch(train) [83][ 450/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:46:47 time: 0.4102 data_time: 0.0415 memory: 4652 grad_norm: 3.2202 loss: 4.0913 loss_cls: 2.7439 loss_bbox: 1.3474 +2024/10/30 08:08:36 - mmengine - INFO - Epoch(train) [83][ 500/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:46:25 time: 0.4185 data_time: 0.0420 memory: 4652 grad_norm: 3.1836 loss: 4.0809 loss_cls: 2.7320 loss_bbox: 1.3489 +2024/10/30 08:08:56 - mmengine - INFO - Epoch(train) [83][ 550/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:46:03 time: 0.4074 data_time: 0.0416 memory: 4652 grad_norm: 3.2114 loss: 4.1473 loss_cls: 2.7047 loss_bbox: 1.4425 +2024/10/30 08:09:07 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 08:09:19 - mmengine - INFO - Epoch(train) [83][ 600/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:45:42 time: 0.4475 data_time: 0.0420 memory: 4652 grad_norm: 3.2334 loss: 4.0970 loss_cls: 2.7580 loss_bbox: 1.3390 +2024/10/30 08:09:41 - mmengine - INFO - Epoch(train) [83][ 650/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:45:21 time: 0.4352 data_time: 0.0535 memory: 4652 grad_norm: 3.1544 loss: 4.1949 loss_cls: 2.8018 loss_bbox: 1.3931 +2024/10/30 08:10:01 - mmengine - INFO - Epoch(train) [83][ 700/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:44:59 time: 0.4148 data_time: 0.0406 memory: 4652 grad_norm: 3.2476 loss: 4.1428 loss_cls: 2.7639 loss_bbox: 1.3789 +2024/10/30 08:10:26 - mmengine - INFO - Epoch(train) [83][ 750/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:44:39 time: 0.4995 data_time: 0.1159 memory: 4652 grad_norm: 2.8427 loss: 4.1788 loss_cls: 2.7624 loss_bbox: 1.4163 +2024/10/30 08:10:47 - mmengine - INFO - Epoch(train) [83][ 800/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:44:18 time: 0.4139 data_time: 0.0413 memory: 4652 grad_norm: 3.2246 loss: 4.0867 loss_cls: 2.7320 loss_bbox: 1.3547 +2024/10/30 08:11:08 - mmengine - INFO - Epoch(train) [83][ 850/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:43:56 time: 0.4191 data_time: 0.0394 memory: 4652 grad_norm: 3.2695 loss: 4.0831 loss_cls: 2.7615 loss_bbox: 1.3216 +2024/10/30 08:11:29 - mmengine - INFO - Epoch(train) [83][ 900/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:43:34 time: 0.4189 data_time: 0.0431 memory: 4652 grad_norm: 3.0709 loss: 4.2358 loss_cls: 2.8247 loss_bbox: 1.4111 +2024/10/30 08:11:50 - mmengine - INFO - Epoch(train) [83][ 950/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:43:12 time: 0.4128 data_time: 0.0461 memory: 4652 grad_norm: 2.9329 loss: 4.1367 loss_cls: 2.7659 loss_bbox: 1.3708 +2024/10/30 08:12:11 - mmengine - INFO - Epoch(train) [83][1000/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:42:51 time: 0.4288 data_time: 0.0509 memory: 4652 grad_norm: 3.2437 loss: 4.0843 loss_cls: 2.7240 loss_bbox: 1.3603 +2024/10/30 08:12:32 - mmengine - INFO - Epoch(train) [83][1050/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:42:29 time: 0.4165 data_time: 0.0427 memory: 4652 grad_norm: 3.1516 loss: 4.0662 loss_cls: 2.7148 loss_bbox: 1.3514 +2024/10/30 08:12:53 - mmengine - INFO - Epoch(train) [83][1100/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:42:07 time: 0.4102 data_time: 0.0482 memory: 4652 grad_norm: 3.2237 loss: 4.1069 loss_cls: 2.7372 loss_bbox: 1.3698 +2024/10/30 08:13:13 - mmengine - INFO - Epoch(train) [83][1150/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:41:45 time: 0.4066 data_time: 0.0473 memory: 4652 grad_norm: 3.1687 loss: 4.0569 loss_cls: 2.7024 loss_bbox: 1.3545 +2024/10/30 08:13:33 - mmengine - INFO - Epoch(train) [83][1200/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:41:23 time: 0.4058 data_time: 0.0429 memory: 4652 grad_norm: 3.1123 loss: 4.1309 loss_cls: 2.7479 loss_bbox: 1.3829 +2024/10/30 08:13:54 - mmengine - INFO - Epoch(train) [83][1250/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:41:02 time: 0.4220 data_time: 0.0589 memory: 4652 grad_norm: 3.1067 loss: 4.1465 loss_cls: 2.7635 loss_bbox: 1.3830 +2024/10/30 08:14:15 - mmengine - INFO - Epoch(train) [83][1300/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:40:40 time: 0.4136 data_time: 0.0423 memory: 4652 grad_norm: 3.0378 loss: 4.1881 loss_cls: 2.7767 loss_bbox: 1.4114 +2024/10/30 08:14:36 - mmengine - INFO - Epoch(train) [83][1350/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:40:18 time: 0.4175 data_time: 0.0501 memory: 4652 grad_norm: 3.3274 loss: 4.1878 loss_cls: 2.7875 loss_bbox: 1.4003 +2024/10/30 08:14:57 - mmengine - INFO - Epoch(train) [83][1400/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:39:56 time: 0.4117 data_time: 0.0425 memory: 4652 grad_norm: 3.2439 loss: 4.0504 loss_cls: 2.7016 loss_bbox: 1.3488 +2024/10/30 08:15:17 - mmengine - INFO - Epoch(train) [83][1450/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:39:34 time: 0.4069 data_time: 0.0425 memory: 4652 grad_norm: 3.2922 loss: 3.9845 loss_cls: 2.6791 loss_bbox: 1.3054 +2024/10/30 08:15:38 - mmengine - INFO - Epoch(train) [83][1500/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:39:13 time: 0.4180 data_time: 0.0431 memory: 4652 grad_norm: 3.2897 loss: 4.0938 loss_cls: 2.7106 loss_bbox: 1.3832 +2024/10/30 08:15:59 - mmengine - INFO - Epoch(train) [83][1550/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:38:51 time: 0.4202 data_time: 0.0463 memory: 4652 grad_norm: 3.1348 loss: 4.1721 loss_cls: 2.7828 loss_bbox: 1.3893 +2024/10/30 08:16:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 08:16:19 - mmengine - INFO - Epoch(train) [83][1600/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:38:29 time: 0.4119 data_time: 0.0408 memory: 4652 grad_norm: 3.2494 loss: 4.1111 loss_cls: 2.7641 loss_bbox: 1.3470 +2024/10/30 08:16:40 - mmengine - INFO - Epoch(train) [83][1650/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:38:07 time: 0.4150 data_time: 0.0399 memory: 4652 grad_norm: 3.0705 loss: 4.0990 loss_cls: 2.7361 loss_bbox: 1.3629 +2024/10/30 08:17:01 - mmengine - INFO - Epoch(train) [83][1700/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:37:46 time: 0.4173 data_time: 0.0478 memory: 4652 grad_norm: 3.1579 loss: 4.0921 loss_cls: 2.7292 loss_bbox: 1.3629 +2024/10/30 08:17:21 - mmengine - INFO - Epoch(train) [83][1750/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:37:24 time: 0.4007 data_time: 0.0411 memory: 4652 grad_norm: 3.1406 loss: 4.1507 loss_cls: 2.8111 loss_bbox: 1.3396 +2024/10/30 08:17:42 - mmengine - INFO - Epoch(train) [83][1800/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:37:02 time: 0.4190 data_time: 0.0393 memory: 4652 grad_norm: 3.2521 loss: 4.0967 loss_cls: 2.7270 loss_bbox: 1.3697 +2024/10/30 08:18:03 - mmengine - INFO - Epoch(train) [83][1850/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:36:40 time: 0.4112 data_time: 0.0440 memory: 4652 grad_norm: 3.0937 loss: 4.1411 loss_cls: 2.7556 loss_bbox: 1.3856 +2024/10/30 08:18:26 - mmengine - INFO - Epoch(train) [83][1900/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:36:19 time: 0.4571 data_time: 0.0880 memory: 4652 grad_norm: 3.0368 loss: 4.1389 loss_cls: 2.7403 loss_bbox: 1.3986 +2024/10/30 08:18:47 - mmengine - INFO - Epoch(train) [83][1950/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:35:58 time: 0.4296 data_time: 0.0500 memory: 4652 grad_norm: 3.2292 loss: 4.1055 loss_cls: 2.7593 loss_bbox: 1.3462 +2024/10/30 08:19:07 - mmengine - INFO - Epoch(train) [83][2000/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:35:36 time: 0.4056 data_time: 0.0438 memory: 4652 grad_norm: 3.1578 loss: 4.1547 loss_cls: 2.7567 loss_bbox: 1.3980 +2024/10/30 08:19:29 - mmengine - INFO - Epoch(train) [83][2050/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:35:14 time: 0.4260 data_time: 0.0418 memory: 4652 grad_norm: 3.1515 loss: 4.1416 loss_cls: 2.7366 loss_bbox: 1.4050 +2024/10/30 08:19:49 - mmengine - INFO - Epoch(train) [83][2100/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:34:52 time: 0.4050 data_time: 0.0425 memory: 4652 grad_norm: 3.2106 loss: 4.1441 loss_cls: 2.7567 loss_bbox: 1.3874 +2024/10/30 08:20:10 - mmengine - INFO - Epoch(train) [83][2150/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:34:30 time: 0.4160 data_time: 0.0447 memory: 4652 grad_norm: 3.1508 loss: 4.1424 loss_cls: 2.7310 loss_bbox: 1.4114 +2024/10/30 08:20:31 - mmengine - INFO - Epoch(train) [83][2200/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:34:09 time: 0.4186 data_time: 0.0410 memory: 4652 grad_norm: 3.1334 loss: 4.1298 loss_cls: 2.7641 loss_bbox: 1.3656 +2024/10/30 08:20:51 - mmengine - INFO - Epoch(train) [83][2250/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:33:47 time: 0.4031 data_time: 0.0400 memory: 4652 grad_norm: 3.1559 loss: 4.1080 loss_cls: 2.7445 loss_bbox: 1.3635 +2024/10/30 08:21:12 - mmengine - INFO - Epoch(train) [83][2300/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:33:25 time: 0.4194 data_time: 0.0397 memory: 4652 grad_norm: 3.2576 loss: 4.2310 loss_cls: 2.7957 loss_bbox: 1.4353 +2024/10/30 08:21:33 - mmengine - INFO - Epoch(train) [83][2350/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:33:03 time: 0.4114 data_time: 0.0433 memory: 4652 grad_norm: 3.3715 loss: 4.1136 loss_cls: 2.7544 loss_bbox: 1.3592 +2024/10/30 08:21:53 - mmengine - INFO - Epoch(train) [83][2400/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:32:41 time: 0.4170 data_time: 0.0404 memory: 4652 grad_norm: 3.2624 loss: 4.1577 loss_cls: 2.7564 loss_bbox: 1.4014 +2024/10/30 08:22:14 - mmengine - INFO - Epoch(train) [83][2450/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:32:20 time: 0.4182 data_time: 0.0442 memory: 4652 grad_norm: 3.0923 loss: 4.1616 loss_cls: 2.7838 loss_bbox: 1.3778 +2024/10/30 08:22:35 - mmengine - INFO - Epoch(train) [83][2500/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:31:58 time: 0.4051 data_time: 0.0408 memory: 4652 grad_norm: 3.1296 loss: 4.0531 loss_cls: 2.6981 loss_bbox: 1.3550 +2024/10/30 08:22:56 - mmengine - INFO - Epoch(train) [83][2550/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:31:36 time: 0.4302 data_time: 0.0442 memory: 4652 grad_norm: 3.1740 loss: 4.1664 loss_cls: 2.7753 loss_bbox: 1.3911 +2024/10/30 08:23:05 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 08:23:16 - mmengine - INFO - Epoch(train) [83][2600/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:31:14 time: 0.4025 data_time: 0.0424 memory: 4652 grad_norm: 3.2722 loss: 4.1711 loss_cls: 2.7861 loss_bbox: 1.3849 +2024/10/30 08:23:37 - mmengine - INFO - Epoch(train) [83][2650/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:30:52 time: 0.4127 data_time: 0.0421 memory: 4652 grad_norm: 3.0386 loss: 4.1038 loss_cls: 2.7624 loss_bbox: 1.3414 +2024/10/30 08:23:58 - mmengine - INFO - Epoch(train) [83][2700/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:30:31 time: 0.4217 data_time: 0.0492 memory: 4652 grad_norm: 3.1050 loss: 4.1272 loss_cls: 2.7562 loss_bbox: 1.3710 +2024/10/30 08:24:19 - mmengine - INFO - Epoch(train) [83][2750/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:30:09 time: 0.4141 data_time: 0.0531 memory: 4652 grad_norm: 3.0371 loss: 4.1213 loss_cls: 2.7810 loss_bbox: 1.3403 +2024/10/30 08:24:40 - mmengine - INFO - Epoch(train) [83][2800/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:29:47 time: 0.4272 data_time: 0.0413 memory: 4652 grad_norm: 3.1122 loss: 4.1782 loss_cls: 2.7682 loss_bbox: 1.4100 +2024/10/30 08:25:01 - mmengine - INFO - Epoch(train) [83][2850/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:29:26 time: 0.4103 data_time: 0.0415 memory: 4652 grad_norm: 3.1880 loss: 4.1495 loss_cls: 2.7749 loss_bbox: 1.3746 +2024/10/30 08:25:21 - mmengine - INFO - Epoch(train) [83][2900/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:29:04 time: 0.4093 data_time: 0.0416 memory: 4652 grad_norm: 3.0322 loss: 4.1174 loss_cls: 2.7604 loss_bbox: 1.3569 +2024/10/30 08:25:42 - mmengine - INFO - Epoch(train) [83][2950/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:28:42 time: 0.4159 data_time: 0.0487 memory: 4652 grad_norm: 3.2337 loss: 4.1391 loss_cls: 2.7416 loss_bbox: 1.3976 +2024/10/30 08:26:03 - mmengine - INFO - Epoch(train) [83][3000/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:28:20 time: 0.4101 data_time: 0.0418 memory: 4652 grad_norm: 3.2015 loss: 4.1325 loss_cls: 2.7234 loss_bbox: 1.4092 +2024/10/30 08:26:27 - mmengine - INFO - Epoch(train) [83][3050/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 13:28:00 time: 0.4949 data_time: 0.1186 memory: 4652 grad_norm: 3.2304 loss: 4.1845 loss_cls: 2.7891 loss_bbox: 1.3954 +2024/10/30 08:26:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 08:26:29 - mmengine - INFO - Saving checkpoint at 83 epochs +2024/10/30 08:26:55 - mmengine - INFO - Epoch(train) [84][ 50/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:27:37 time: 0.4394 data_time: 0.0566 memory: 4652 grad_norm: 3.1008 loss: 4.1257 loss_cls: 2.7573 loss_bbox: 1.3684 +2024/10/30 08:27:16 - mmengine - INFO - Epoch(train) [84][ 100/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:27:16 time: 0.4286 data_time: 0.0399 memory: 4652 grad_norm: 3.0737 loss: 4.1519 loss_cls: 2.7733 loss_bbox: 1.3787 +2024/10/30 08:27:38 - mmengine - INFO - Epoch(train) [84][ 150/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:26:54 time: 0.4332 data_time: 0.0483 memory: 4652 grad_norm: 3.1480 loss: 4.1121 loss_cls: 2.7401 loss_bbox: 1.3720 +2024/10/30 08:27:59 - mmengine - INFO - Epoch(train) [84][ 200/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:26:33 time: 0.4298 data_time: 0.0432 memory: 4652 grad_norm: 3.5007 loss: 4.0557 loss_cls: 2.7135 loss_bbox: 1.3422 +2024/10/30 08:28:21 - mmengine - INFO - Epoch(train) [84][ 250/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:26:11 time: 0.4297 data_time: 0.0397 memory: 4652 grad_norm: 3.1589 loss: 4.0416 loss_cls: 2.7116 loss_bbox: 1.3299 +2024/10/30 08:28:42 - mmengine - INFO - Epoch(train) [84][ 300/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:25:50 time: 0.4250 data_time: 0.0392 memory: 4652 grad_norm: 3.2802 loss: 4.1496 loss_cls: 2.7565 loss_bbox: 1.3931 +2024/10/30 08:29:04 - mmengine - INFO - Epoch(train) [84][ 350/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:25:29 time: 0.4413 data_time: 0.0417 memory: 4652 grad_norm: 3.0989 loss: 4.1211 loss_cls: 2.7155 loss_bbox: 1.4056 +2024/10/30 08:29:27 - mmengine - INFO - Epoch(train) [84][ 400/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:25:08 time: 0.4578 data_time: 0.0561 memory: 4652 grad_norm: 3.0782 loss: 4.0879 loss_cls: 2.7150 loss_bbox: 1.3729 +2024/10/30 08:29:49 - mmengine - INFO - Epoch(train) [84][ 450/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:24:47 time: 0.4401 data_time: 0.0499 memory: 4652 grad_norm: 3.0984 loss: 4.1154 loss_cls: 2.7613 loss_bbox: 1.3541 +2024/10/30 08:30:11 - mmengine - INFO - Epoch(train) [84][ 500/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:24:25 time: 0.4343 data_time: 0.0385 memory: 4652 grad_norm: 3.3507 loss: 4.1053 loss_cls: 2.7491 loss_bbox: 1.3562 +2024/10/30 08:30:19 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 08:30:33 - mmengine - INFO - Epoch(train) [84][ 550/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:24:04 time: 0.4294 data_time: 0.0374 memory: 4652 grad_norm: 3.2586 loss: 4.1694 loss_cls: 2.7667 loss_bbox: 1.4027 +2024/10/30 08:30:54 - mmengine - INFO - Epoch(train) [84][ 600/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:23:42 time: 0.4260 data_time: 0.0372 memory: 4652 grad_norm: 3.0741 loss: 4.0680 loss_cls: 2.7180 loss_bbox: 1.3499 +2024/10/30 08:31:16 - mmengine - INFO - Epoch(train) [84][ 650/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:23:21 time: 0.4447 data_time: 0.0488 memory: 4652 grad_norm: 3.3398 loss: 4.2553 loss_cls: 2.8224 loss_bbox: 1.4329 +2024/10/30 08:31:38 - mmengine - INFO - Epoch(train) [84][ 700/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:23:00 time: 0.4311 data_time: 0.0402 memory: 4652 grad_norm: 3.0606 loss: 4.1300 loss_cls: 2.7608 loss_bbox: 1.3691 +2024/10/30 08:31:59 - mmengine - INFO - Epoch(train) [84][ 750/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:22:38 time: 0.4260 data_time: 0.0435 memory: 4652 grad_norm: 3.2207 loss: 4.1174 loss_cls: 2.7470 loss_bbox: 1.3705 +2024/10/30 08:32:21 - mmengine - INFO - Epoch(train) [84][ 800/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:22:17 time: 0.4490 data_time: 0.0364 memory: 4652 grad_norm: 3.0925 loss: 4.1656 loss_cls: 2.7493 loss_bbox: 1.4163 +2024/10/30 08:32:44 - mmengine - INFO - Epoch(train) [84][ 850/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:21:56 time: 0.4429 data_time: 0.0457 memory: 4652 grad_norm: 2.9059 loss: 4.0364 loss_cls: 2.6845 loss_bbox: 1.3518 +2024/10/30 08:33:06 - mmengine - INFO - Epoch(train) [84][ 900/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:21:35 time: 0.4410 data_time: 0.0363 memory: 4652 grad_norm: 3.0315 loss: 4.1170 loss_cls: 2.7474 loss_bbox: 1.3696 +2024/10/30 08:33:28 - mmengine - INFO - Epoch(train) [84][ 950/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:21:14 time: 0.4540 data_time: 0.0363 memory: 4652 grad_norm: 3.2151 loss: 4.1086 loss_cls: 2.7303 loss_bbox: 1.3783 +2024/10/30 08:33:50 - mmengine - INFO - Epoch(train) [84][1000/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:20:53 time: 0.4357 data_time: 0.0356 memory: 4652 grad_norm: 3.1614 loss: 4.1281 loss_cls: 2.7839 loss_bbox: 1.3442 +2024/10/30 08:34:12 - mmengine - INFO - Epoch(train) [84][1050/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:20:31 time: 0.4348 data_time: 0.0368 memory: 4652 grad_norm: 3.1364 loss: 4.2758 loss_cls: 2.8197 loss_bbox: 1.4561 +2024/10/30 08:34:34 - mmengine - INFO - Epoch(train) [84][1100/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:20:10 time: 0.4364 data_time: 0.0375 memory: 4652 grad_norm: 3.2908 loss: 3.9745 loss_cls: 2.6463 loss_bbox: 1.3283 +2024/10/30 08:34:56 - mmengine - INFO - Epoch(train) [84][1150/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:19:49 time: 0.4492 data_time: 0.0390 memory: 4652 grad_norm: 3.4531 loss: 4.0416 loss_cls: 2.7092 loss_bbox: 1.3324 +2024/10/30 08:35:19 - mmengine - INFO - Epoch(train) [84][1200/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:19:28 time: 0.4482 data_time: 0.0349 memory: 4652 grad_norm: 3.1190 loss: 4.1538 loss_cls: 2.7308 loss_bbox: 1.4229 +2024/10/30 08:35:41 - mmengine - INFO - Epoch(train) [84][1250/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:19:07 time: 0.4395 data_time: 0.0359 memory: 4652 grad_norm: 3.1141 loss: 4.0801 loss_cls: 2.7276 loss_bbox: 1.3524 +2024/10/30 08:36:03 - mmengine - INFO - Epoch(train) [84][1300/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:18:46 time: 0.4424 data_time: 0.0366 memory: 4652 grad_norm: 3.0306 loss: 4.1102 loss_cls: 2.7408 loss_bbox: 1.3694 +2024/10/30 08:36:27 - mmengine - INFO - Epoch(train) [84][1350/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:18:26 time: 0.4862 data_time: 0.0956 memory: 4652 grad_norm: 3.1331 loss: 4.0871 loss_cls: 2.7380 loss_bbox: 1.3490 +2024/10/30 08:36:50 - mmengine - INFO - Epoch(train) [84][1400/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:18:05 time: 0.4470 data_time: 0.0361 memory: 4652 grad_norm: 3.2234 loss: 4.0513 loss_cls: 2.7386 loss_bbox: 1.3127 +2024/10/30 08:37:12 - mmengine - INFO - Epoch(train) [84][1450/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:17:43 time: 0.4443 data_time: 0.0419 memory: 4652 grad_norm: 3.3035 loss: 4.0633 loss_cls: 2.7148 loss_bbox: 1.3484 +2024/10/30 08:37:34 - mmengine - INFO - Epoch(train) [84][1500/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:17:22 time: 0.4406 data_time: 0.0359 memory: 4652 grad_norm: 3.2135 loss: 4.1534 loss_cls: 2.7751 loss_bbox: 1.3782 +2024/10/30 08:37:42 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 08:37:56 - mmengine - INFO - Epoch(train) [84][1550/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:17:01 time: 0.4374 data_time: 0.0357 memory: 4652 grad_norm: 3.2158 loss: 4.0797 loss_cls: 2.7360 loss_bbox: 1.3437 +2024/10/30 08:38:18 - mmengine - INFO - Epoch(train) [84][1600/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:16:40 time: 0.4449 data_time: 0.0361 memory: 4652 grad_norm: 3.3325 loss: 4.2262 loss_cls: 2.8255 loss_bbox: 1.4006 +2024/10/30 08:38:40 - mmengine - INFO - Epoch(train) [84][1650/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:16:19 time: 0.4388 data_time: 0.0367 memory: 4652 grad_norm: 3.3131 loss: 4.0292 loss_cls: 2.7184 loss_bbox: 1.3109 +2024/10/30 08:39:02 - mmengine - INFO - Epoch(train) [84][1700/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:15:58 time: 0.4447 data_time: 0.0362 memory: 4652 grad_norm: 3.3062 loss: 4.1053 loss_cls: 2.7767 loss_bbox: 1.3287 +2024/10/30 08:39:28 - mmengine - INFO - Epoch(train) [84][1750/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:15:38 time: 0.5087 data_time: 0.1064 memory: 4652 grad_norm: 3.1179 loss: 4.1748 loss_cls: 2.7850 loss_bbox: 1.3898 +2024/10/30 08:39:49 - mmengine - INFO - Epoch(train) [84][1800/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:15:17 time: 0.4350 data_time: 0.0366 memory: 4652 grad_norm: 3.1373 loss: 4.1995 loss_cls: 2.7839 loss_bbox: 1.4156 +2024/10/30 08:40:12 - mmengine - INFO - Epoch(train) [84][1850/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:14:55 time: 0.4463 data_time: 0.0370 memory: 4652 grad_norm: 3.4470 loss: 4.1370 loss_cls: 2.7482 loss_bbox: 1.3888 +2024/10/30 08:40:34 - mmengine - INFO - Epoch(train) [84][1900/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:14:34 time: 0.4369 data_time: 0.0365 memory: 4652 grad_norm: 3.0331 loss: 4.1018 loss_cls: 2.7380 loss_bbox: 1.3638 +2024/10/30 08:40:55 - mmengine - INFO - Epoch(train) [84][1950/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:14:13 time: 0.4342 data_time: 0.0365 memory: 4652 grad_norm: 3.2294 loss: 4.1651 loss_cls: 2.7670 loss_bbox: 1.3981 +2024/10/30 08:41:17 - mmengine - INFO - Epoch(train) [84][2000/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:13:51 time: 0.4306 data_time: 0.0418 memory: 4652 grad_norm: 3.1425 loss: 4.1232 loss_cls: 2.7375 loss_bbox: 1.3857 +2024/10/30 08:41:39 - mmengine - INFO - Epoch(train) [84][2050/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:13:30 time: 0.4328 data_time: 0.0399 memory: 4652 grad_norm: 3.0869 loss: 4.0631 loss_cls: 2.7078 loss_bbox: 1.3554 +2024/10/30 08:42:00 - mmengine - INFO - Epoch(train) [84][2100/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:13:09 time: 0.4333 data_time: 0.0366 memory: 4652 grad_norm: 3.4778 loss: 4.1943 loss_cls: 2.7993 loss_bbox: 1.3950 +2024/10/30 08:42:22 - mmengine - INFO - Epoch(train) [84][2150/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:12:48 time: 0.4426 data_time: 0.0404 memory: 4652 grad_norm: 3.4526 loss: 4.0328 loss_cls: 2.6936 loss_bbox: 1.3393 +2024/10/30 08:42:44 - mmengine - INFO - Epoch(train) [84][2200/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:12:26 time: 0.4315 data_time: 0.0365 memory: 4652 grad_norm: 3.2346 loss: 4.0627 loss_cls: 2.7483 loss_bbox: 1.3144 +2024/10/30 08:43:06 - mmengine - INFO - Epoch(train) [84][2250/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:12:05 time: 0.4396 data_time: 0.0443 memory: 4652 grad_norm: 3.2784 loss: 4.0773 loss_cls: 2.7374 loss_bbox: 1.3400 +2024/10/30 08:43:28 - mmengine - INFO - Epoch(train) [84][2300/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:11:44 time: 0.4393 data_time: 0.0387 memory: 4652 grad_norm: 3.0950 loss: 4.1308 loss_cls: 2.7577 loss_bbox: 1.3732 +2024/10/30 08:43:50 - mmengine - INFO - Epoch(train) [84][2350/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:11:22 time: 0.4340 data_time: 0.0405 memory: 4652 grad_norm: 3.2328 loss: 4.2117 loss_cls: 2.8013 loss_bbox: 1.4104 +2024/10/30 08:44:11 - mmengine - INFO - Epoch(train) [84][2400/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:11:01 time: 0.4317 data_time: 0.0368 memory: 4652 grad_norm: 3.1198 loss: 4.1617 loss_cls: 2.7569 loss_bbox: 1.4048 +2024/10/30 08:44:34 - mmengine - INFO - Epoch(train) [84][2450/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:10:40 time: 0.4553 data_time: 0.0438 memory: 4652 grad_norm: 3.5368 loss: 4.1154 loss_cls: 2.7445 loss_bbox: 1.3709 +2024/10/30 08:44:56 - mmengine - INFO - Epoch(train) [84][2500/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:10:19 time: 0.4344 data_time: 0.0365 memory: 4652 grad_norm: 3.1301 loss: 4.0056 loss_cls: 2.7086 loss_bbox: 1.2969 +2024/10/30 08:45:04 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 08:45:18 - mmengine - INFO - Epoch(train) [84][2550/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:09:58 time: 0.4455 data_time: 0.0482 memory: 4652 grad_norm: 2.9800 loss: 4.0501 loss_cls: 2.6995 loss_bbox: 1.3506 +2024/10/30 08:45:40 - mmengine - INFO - Epoch(train) [84][2600/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:09:36 time: 0.4346 data_time: 0.0487 memory: 4652 grad_norm: 3.1420 loss: 4.1983 loss_cls: 2.7463 loss_bbox: 1.4521 +2024/10/30 08:46:01 - mmengine - INFO - Epoch(train) [84][2650/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:09:15 time: 0.4307 data_time: 0.0402 memory: 4652 grad_norm: 3.1681 loss: 4.1421 loss_cls: 2.7597 loss_bbox: 1.3824 +2024/10/30 08:46:23 - mmengine - INFO - Epoch(train) [84][2700/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:08:54 time: 0.4376 data_time: 0.0385 memory: 4652 grad_norm: 3.1038 loss: 4.0379 loss_cls: 2.7298 loss_bbox: 1.3081 +2024/10/30 08:46:46 - mmengine - INFO - Epoch(train) [84][2750/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:08:33 time: 0.4474 data_time: 0.0539 memory: 4652 grad_norm: 3.2026 loss: 4.1128 loss_cls: 2.7487 loss_bbox: 1.3641 +2024/10/30 08:47:08 - mmengine - INFO - Epoch(train) [84][2800/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:08:11 time: 0.4415 data_time: 0.0384 memory: 4652 grad_norm: 3.5312 loss: 4.0666 loss_cls: 2.7088 loss_bbox: 1.3578 +2024/10/30 08:47:29 - mmengine - INFO - Epoch(train) [84][2850/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:07:50 time: 0.4327 data_time: 0.0398 memory: 4652 grad_norm: 3.2851 loss: 4.1102 loss_cls: 2.7355 loss_bbox: 1.3747 +2024/10/30 08:47:51 - mmengine - INFO - Epoch(train) [84][2900/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:07:29 time: 0.4325 data_time: 0.0393 memory: 4652 grad_norm: 2.9580 loss: 4.1216 loss_cls: 2.7592 loss_bbox: 1.3625 +2024/10/30 08:48:13 - mmengine - INFO - Epoch(train) [84][2950/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:07:07 time: 0.4408 data_time: 0.0381 memory: 4652 grad_norm: 3.3478 loss: 4.2094 loss_cls: 2.7749 loss_bbox: 1.4345 +2024/10/30 08:48:35 - mmengine - INFO - Epoch(train) [84][3000/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:06:46 time: 0.4360 data_time: 0.0448 memory: 4652 grad_norm: 3.1074 loss: 4.1051 loss_cls: 2.7662 loss_bbox: 1.3389 +2024/10/30 08:48:57 - mmengine - INFO - Epoch(train) [84][3050/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 13:06:25 time: 0.4412 data_time: 0.0364 memory: 4652 grad_norm: 3.5159 loss: 4.1154 loss_cls: 2.7631 loss_bbox: 1.3523 +2024/10/30 08:48:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 08:48:59 - mmengine - INFO - Saving checkpoint at 84 epochs +2024/10/30 08:49:31 - mmengine - INFO - Epoch(train) [85][ 50/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:06:02 time: 0.4497 data_time: 0.0635 memory: 4652 grad_norm: 3.2714 loss: 4.0857 loss_cls: 2.6922 loss_bbox: 1.3936 +2024/10/30 08:49:52 - mmengine - INFO - Epoch(train) [85][ 100/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:05:41 time: 0.4335 data_time: 0.0478 memory: 4652 grad_norm: 3.2331 loss: 4.0141 loss_cls: 2.6909 loss_bbox: 1.3232 +2024/10/30 08:50:14 - mmengine - INFO - Epoch(train) [85][ 150/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:05:19 time: 0.4266 data_time: 0.0387 memory: 4652 grad_norm: 3.0452 loss: 4.1164 loss_cls: 2.7373 loss_bbox: 1.3791 +2024/10/30 08:50:35 - mmengine - INFO - Epoch(train) [85][ 200/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:04:58 time: 0.4276 data_time: 0.0386 memory: 4652 grad_norm: 3.1446 loss: 4.1564 loss_cls: 2.7361 loss_bbox: 1.4203 +2024/10/30 08:50:57 - mmengine - INFO - Epoch(train) [85][ 250/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:04:37 time: 0.4418 data_time: 0.0391 memory: 4652 grad_norm: 3.1741 loss: 4.0918 loss_cls: 2.7217 loss_bbox: 1.3700 +2024/10/30 08:51:20 - mmengine - INFO - Epoch(train) [85][ 300/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:04:15 time: 0.4434 data_time: 0.0519 memory: 4652 grad_norm: 3.2102 loss: 4.0501 loss_cls: 2.7374 loss_bbox: 1.3126 +2024/10/30 08:51:42 - mmengine - INFO - Epoch(train) [85][ 350/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:03:54 time: 0.4389 data_time: 0.0464 memory: 4652 grad_norm: 3.4044 loss: 4.1617 loss_cls: 2.7563 loss_bbox: 1.4055 +2024/10/30 08:52:04 - mmengine - INFO - Epoch(train) [85][ 400/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:03:33 time: 0.4430 data_time: 0.0406 memory: 4652 grad_norm: 3.1729 loss: 4.0528 loss_cls: 2.7110 loss_bbox: 1.3418 +2024/10/30 08:52:27 - mmengine - INFO - Epoch(train) [85][ 450/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:03:12 time: 0.4592 data_time: 0.0544 memory: 4652 grad_norm: 3.1177 loss: 4.0412 loss_cls: 2.7128 loss_bbox: 1.3284 +2024/10/30 08:52:33 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 08:52:49 - mmengine - INFO - Epoch(train) [85][ 500/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:02:51 time: 0.4527 data_time: 0.0459 memory: 4652 grad_norm: 3.0859 loss: 4.1301 loss_cls: 2.7171 loss_bbox: 1.4130 +2024/10/30 08:53:12 - mmengine - INFO - Epoch(train) [85][ 550/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:02:30 time: 0.4418 data_time: 0.0492 memory: 4652 grad_norm: 3.3062 loss: 4.0257 loss_cls: 2.6805 loss_bbox: 1.3452 +2024/10/30 08:53:34 - mmengine - INFO - Epoch(train) [85][ 600/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:02:09 time: 0.4504 data_time: 0.0426 memory: 4652 grad_norm: 3.1692 loss: 4.0830 loss_cls: 2.7456 loss_bbox: 1.3374 +2024/10/30 08:53:57 - mmengine - INFO - Epoch(train) [85][ 650/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:01:48 time: 0.4654 data_time: 0.0584 memory: 4652 grad_norm: 3.2494 loss: 4.0775 loss_cls: 2.7163 loss_bbox: 1.3611 +2024/10/30 08:54:20 - mmengine - INFO - Epoch(train) [85][ 700/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:01:27 time: 0.4506 data_time: 0.0457 memory: 4652 grad_norm: 2.9082 loss: 4.0580 loss_cls: 2.7231 loss_bbox: 1.3349 +2024/10/30 08:54:43 - mmengine - INFO - Epoch(train) [85][ 750/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:01:07 time: 0.4515 data_time: 0.0393 memory: 4652 grad_norm: 3.4925 loss: 4.0041 loss_cls: 2.7194 loss_bbox: 1.2847 +2024/10/30 08:55:05 - mmengine - INFO - Epoch(train) [85][ 800/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:00:46 time: 0.4497 data_time: 0.0581 memory: 4652 grad_norm: 3.0449 loss: 4.0286 loss_cls: 2.6996 loss_bbox: 1.3290 +2024/10/30 08:55:27 - mmengine - INFO - Epoch(train) [85][ 850/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:00:24 time: 0.4463 data_time: 0.0439 memory: 4652 grad_norm: 3.2235 loss: 4.0285 loss_cls: 2.6811 loss_bbox: 1.3474 +2024/10/30 08:55:49 - mmengine - INFO - Epoch(train) [85][ 900/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 13:00:03 time: 0.4395 data_time: 0.0404 memory: 4652 grad_norm: 3.1561 loss: 4.0780 loss_cls: 2.7427 loss_bbox: 1.3352 +2024/10/30 08:56:12 - mmengine - INFO - Epoch(train) [85][ 950/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:59:42 time: 0.4439 data_time: 0.0451 memory: 4652 grad_norm: 2.9868 loss: 4.0150 loss_cls: 2.6891 loss_bbox: 1.3259 +2024/10/30 08:56:34 - mmengine - INFO - Epoch(train) [85][1000/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:59:21 time: 0.4503 data_time: 0.0412 memory: 4652 grad_norm: 2.8697 loss: 3.9935 loss_cls: 2.6777 loss_bbox: 1.3158 +2024/10/30 08:56:56 - mmengine - INFO - Epoch(train) [85][1050/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:59:00 time: 0.4352 data_time: 0.0450 memory: 4652 grad_norm: 3.2483 loss: 4.1402 loss_cls: 2.7785 loss_bbox: 1.3616 +2024/10/30 08:57:18 - mmengine - INFO - Epoch(train) [85][1100/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:58:39 time: 0.4468 data_time: 0.0466 memory: 4652 grad_norm: 2.9713 loss: 4.1759 loss_cls: 2.7824 loss_bbox: 1.3935 +2024/10/30 08:57:41 - mmengine - INFO - Epoch(train) [85][1150/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:58:18 time: 0.4511 data_time: 0.0399 memory: 4652 grad_norm: 3.1953 loss: 4.1311 loss_cls: 2.7704 loss_bbox: 1.3607 +2024/10/30 08:58:03 - mmengine - INFO - Epoch(train) [85][1200/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:57:56 time: 0.4372 data_time: 0.0451 memory: 4652 grad_norm: 3.4252 loss: 4.1003 loss_cls: 2.7502 loss_bbox: 1.3501 +2024/10/30 08:58:29 - mmengine - INFO - Epoch(train) [85][1250/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:57:37 time: 0.5216 data_time: 0.0947 memory: 4652 grad_norm: 2.9445 loss: 4.1259 loss_cls: 2.7759 loss_bbox: 1.3500 +2024/10/30 08:58:51 - mmengine - INFO - Epoch(train) [85][1300/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:57:16 time: 0.4487 data_time: 0.0408 memory: 4652 grad_norm: 3.1702 loss: 4.0095 loss_cls: 2.6949 loss_bbox: 1.3146 +2024/10/30 08:59:14 - mmengine - INFO - Epoch(train) [85][1350/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:56:55 time: 0.4479 data_time: 0.0389 memory: 4652 grad_norm: 3.2149 loss: 4.0528 loss_cls: 2.7181 loss_bbox: 1.3347 +2024/10/30 08:59:36 - mmengine - INFO - Epoch(train) [85][1400/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:56:34 time: 0.4483 data_time: 0.0375 memory: 4652 grad_norm: 3.2215 loss: 4.0303 loss_cls: 2.7137 loss_bbox: 1.3166 +2024/10/30 08:59:58 - mmengine - INFO - Epoch(train) [85][1450/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:56:12 time: 0.4338 data_time: 0.0388 memory: 4652 grad_norm: 3.3355 loss: 4.1116 loss_cls: 2.7278 loss_bbox: 1.3838 +2024/10/30 09:00:04 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 09:00:21 - mmengine - INFO - Epoch(train) [85][1500/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:55:51 time: 0.4550 data_time: 0.0391 memory: 4652 grad_norm: 3.0231 loss: 4.1069 loss_cls: 2.7414 loss_bbox: 1.3656 +2024/10/30 09:00:43 - mmengine - INFO - Epoch(train) [85][1550/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:55:30 time: 0.4384 data_time: 0.0440 memory: 4652 grad_norm: 3.3662 loss: 4.1529 loss_cls: 2.7466 loss_bbox: 1.4063 +2024/10/30 09:01:05 - mmengine - INFO - Epoch(train) [85][1600/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:55:09 time: 0.4530 data_time: 0.0396 memory: 4652 grad_norm: 3.1107 loss: 4.0431 loss_cls: 2.7172 loss_bbox: 1.3259 +2024/10/30 09:01:28 - mmengine - INFO - Epoch(train) [85][1650/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:54:48 time: 0.4479 data_time: 0.0465 memory: 4652 grad_norm: 3.4492 loss: 4.1046 loss_cls: 2.7331 loss_bbox: 1.3716 +2024/10/30 09:01:50 - mmengine - INFO - Epoch(train) [85][1700/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:54:27 time: 0.4366 data_time: 0.0397 memory: 4652 grad_norm: 3.4320 loss: 4.1362 loss_cls: 2.7270 loss_bbox: 1.4093 +2024/10/30 09:02:13 - mmengine - INFO - Epoch(train) [85][1750/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:54:06 time: 0.4712 data_time: 0.0587 memory: 4652 grad_norm: 3.1796 loss: 4.0950 loss_cls: 2.7453 loss_bbox: 1.3497 +2024/10/30 09:02:36 - mmengine - INFO - Epoch(train) [85][1800/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:53:45 time: 0.4454 data_time: 0.0429 memory: 4652 grad_norm: 3.1719 loss: 4.0378 loss_cls: 2.7241 loss_bbox: 1.3137 +2024/10/30 09:02:59 - mmengine - INFO - Epoch(train) [85][1850/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:53:24 time: 0.4624 data_time: 0.0435 memory: 4652 grad_norm: 3.2167 loss: 4.1746 loss_cls: 2.7692 loss_bbox: 1.4054 +2024/10/30 09:03:22 - mmengine - INFO - Epoch(train) [85][1900/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:53:04 time: 0.4655 data_time: 0.0484 memory: 4652 grad_norm: 3.3679 loss: 4.1929 loss_cls: 2.7795 loss_bbox: 1.4134 +2024/10/30 09:03:44 - mmengine - INFO - Epoch(train) [85][1950/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:52:43 time: 0.4482 data_time: 0.0400 memory: 4652 grad_norm: 2.9501 loss: 4.0935 loss_cls: 2.7043 loss_bbox: 1.3892 +2024/10/30 09:04:07 - mmengine - INFO - Epoch(train) [85][2000/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:52:22 time: 0.4576 data_time: 0.0406 memory: 4652 grad_norm: 3.0462 loss: 4.0836 loss_cls: 2.7256 loss_bbox: 1.3580 +2024/10/30 09:04:29 - mmengine - INFO - Epoch(train) [85][2050/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:52:00 time: 0.4318 data_time: 0.0424 memory: 4652 grad_norm: 3.3319 loss: 4.0177 loss_cls: 2.6981 loss_bbox: 1.3196 +2024/10/30 09:04:51 - mmengine - INFO - Epoch(train) [85][2100/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:51:39 time: 0.4495 data_time: 0.0487 memory: 4652 grad_norm: 3.0288 loss: 4.0960 loss_cls: 2.7342 loss_bbox: 1.3618 +2024/10/30 09:05:14 - mmengine - INFO - Epoch(train) [85][2150/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:51:18 time: 0.4444 data_time: 0.0444 memory: 4652 grad_norm: 3.1612 loss: 3.9546 loss_cls: 2.6652 loss_bbox: 1.2894 +2024/10/30 09:05:36 - mmengine - INFO - Epoch(train) [85][2200/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:50:57 time: 0.4480 data_time: 0.0393 memory: 4652 grad_norm: 2.9039 loss: 4.0403 loss_cls: 2.7069 loss_bbox: 1.3334 +2024/10/30 09:05:59 - mmengine - INFO - Epoch(train) [85][2250/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:50:36 time: 0.4547 data_time: 0.0515 memory: 4652 grad_norm: 3.3944 loss: 4.0712 loss_cls: 2.7024 loss_bbox: 1.3688 +2024/10/30 09:06:20 - mmengine - INFO - Epoch(train) [85][2300/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:50:15 time: 0.4303 data_time: 0.0386 memory: 4652 grad_norm: 3.1549 loss: 4.0099 loss_cls: 2.7048 loss_bbox: 1.3051 +2024/10/30 09:06:43 - mmengine - INFO - Epoch(train) [85][2350/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:49:54 time: 0.4580 data_time: 0.0387 memory: 4652 grad_norm: 3.1348 loss: 3.9991 loss_cls: 2.6675 loss_bbox: 1.3317 +2024/10/30 09:07:05 - mmengine - INFO - Epoch(train) [85][2400/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:49:32 time: 0.4309 data_time: 0.0403 memory: 4652 grad_norm: 2.9982 loss: 4.0695 loss_cls: 2.7110 loss_bbox: 1.3584 +2024/10/30 09:07:28 - mmengine - INFO - Epoch(train) [85][2450/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:49:12 time: 0.4548 data_time: 0.0517 memory: 4652 grad_norm: 3.2968 loss: 4.0079 loss_cls: 2.6683 loss_bbox: 1.3395 +2024/10/30 09:07:34 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 09:07:50 - mmengine - INFO - Epoch(train) [85][2500/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:48:50 time: 0.4413 data_time: 0.0406 memory: 4652 grad_norm: 3.3126 loss: 4.0802 loss_cls: 2.7022 loss_bbox: 1.3779 +2024/10/30 09:08:11 - mmengine - INFO - Epoch(train) [85][2550/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:48:29 time: 0.4262 data_time: 0.0389 memory: 4652 grad_norm: 3.4755 loss: 4.0357 loss_cls: 2.6896 loss_bbox: 1.3460 +2024/10/30 09:08:34 - mmengine - INFO - Epoch(train) [85][2600/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:48:08 time: 0.4496 data_time: 0.0437 memory: 4652 grad_norm: 3.2094 loss: 4.1963 loss_cls: 2.7624 loss_bbox: 1.4339 +2024/10/30 09:08:56 - mmengine - INFO - Epoch(train) [85][2650/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:47:47 time: 0.4395 data_time: 0.0402 memory: 4652 grad_norm: 3.1923 loss: 4.1266 loss_cls: 2.7478 loss_bbox: 1.3788 +2024/10/30 09:09:18 - mmengine - INFO - Epoch(train) [85][2700/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:47:26 time: 0.4513 data_time: 0.0396 memory: 4652 grad_norm: 3.0657 loss: 4.1035 loss_cls: 2.7545 loss_bbox: 1.3490 +2024/10/30 09:09:40 - mmengine - INFO - Epoch(train) [85][2750/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:47:04 time: 0.4428 data_time: 0.0421 memory: 4652 grad_norm: 2.9848 loss: 4.0901 loss_cls: 2.7430 loss_bbox: 1.3471 +2024/10/30 09:10:02 - mmengine - INFO - Epoch(train) [85][2800/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:46:43 time: 0.4290 data_time: 0.0391 memory: 4652 grad_norm: 3.5050 loss: 4.0178 loss_cls: 2.6909 loss_bbox: 1.3269 +2024/10/30 09:10:27 - mmengine - INFO - Epoch(train) [85][2850/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:46:23 time: 0.5130 data_time: 0.1130 memory: 4652 grad_norm: 3.3846 loss: 4.0651 loss_cls: 2.7323 loss_bbox: 1.3328 +2024/10/30 09:10:49 - mmengine - INFO - Epoch(train) [85][2900/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:46:02 time: 0.4340 data_time: 0.0389 memory: 4652 grad_norm: 3.1692 loss: 4.1342 loss_cls: 2.7571 loss_bbox: 1.3770 +2024/10/30 09:11:11 - mmengine - INFO - Epoch(train) [85][2950/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:45:41 time: 0.4431 data_time: 0.0397 memory: 4652 grad_norm: 3.2646 loss: 4.1391 loss_cls: 2.7516 loss_bbox: 1.3874 +2024/10/30 09:11:33 - mmengine - INFO - Epoch(train) [85][3000/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:45:19 time: 0.4331 data_time: 0.0471 memory: 4652 grad_norm: 3.1957 loss: 4.0893 loss_cls: 2.7533 loss_bbox: 1.3361 +2024/10/30 09:11:54 - mmengine - INFO - Epoch(train) [85][3050/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 12:44:57 time: 0.4112 data_time: 0.0389 memory: 4652 grad_norm: 3.3825 loss: 4.0687 loss_cls: 2.6764 loss_bbox: 1.3923 +2024/10/30 09:11:56 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 09:11:56 - mmengine - INFO - Saving checkpoint at 85 epochs +2024/10/30 09:12:05 - mmengine - INFO - Epoch(val) [85][50/79] eta: 0:00:02 time: 0.0737 data_time: 0.0079 memory: 4652 +2024/10/30 09:12:22 - mmengine - INFO - Evaluating bbox... +2024/10/30 09:13:37 - mmengine - INFO - bbox_mAP_copypaste: 0.232 0.394 0.238 0.062 0.266 0.376 +2024/10/30 09:13:38 - mmengine - INFO - Epoch(val) [85][79/79] coco/bbox_mAP: 0.2320 coco/bbox_mAP_50: 0.3940 coco/bbox_mAP_75: 0.2380 coco/bbox_mAP_s: 0.0620 coco/bbox_mAP_m: 0.2660 coco/bbox_mAP_l: 0.3760 data_time: 0.0073 time: 0.0720 +2024/10/30 09:14:01 - mmengine - INFO - Epoch(train) [86][ 50/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:44:35 time: 0.4578 data_time: 0.0651 memory: 4652 grad_norm: 3.1162 loss: 4.0393 loss_cls: 2.6909 loss_bbox: 1.3483 +2024/10/30 09:14:23 - mmengine - INFO - Epoch(train) [86][ 100/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:44:14 time: 0.4291 data_time: 0.0380 memory: 4652 grad_norm: 3.3125 loss: 4.1125 loss_cls: 2.7241 loss_bbox: 1.3884 +2024/10/30 09:14:44 - mmengine - INFO - Epoch(train) [86][ 150/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:43:52 time: 0.4257 data_time: 0.0364 memory: 4652 grad_norm: 3.3101 loss: 4.1065 loss_cls: 2.7656 loss_bbox: 1.3409 +2024/10/30 09:15:05 - mmengine - INFO - Epoch(train) [86][ 200/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:43:30 time: 0.4239 data_time: 0.0379 memory: 4652 grad_norm: 2.9974 loss: 4.0555 loss_cls: 2.7213 loss_bbox: 1.3343 +2024/10/30 09:15:27 - mmengine - INFO - Epoch(train) [86][ 250/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:43:09 time: 0.4336 data_time: 0.0404 memory: 4652 grad_norm: 3.3193 loss: 3.9855 loss_cls: 2.6909 loss_bbox: 1.2946 +2024/10/30 09:15:48 - mmengine - INFO - Epoch(train) [86][ 300/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:42:47 time: 0.4244 data_time: 0.0368 memory: 4652 grad_norm: 3.0812 loss: 4.0997 loss_cls: 2.7446 loss_bbox: 1.3551 +2024/10/30 09:16:10 - mmengine - INFO - Epoch(train) [86][ 350/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:42:26 time: 0.4291 data_time: 0.0414 memory: 4652 grad_norm: 3.3906 loss: 4.0821 loss_cls: 2.7164 loss_bbox: 1.3657 +2024/10/30 09:16:31 - mmengine - INFO - Epoch(train) [86][ 400/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:42:05 time: 0.4316 data_time: 0.0393 memory: 4652 grad_norm: 3.1287 loss: 4.0984 loss_cls: 2.7225 loss_bbox: 1.3759 +2024/10/30 09:16:35 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 09:16:52 - mmengine - INFO - Epoch(train) [86][ 450/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:41:43 time: 0.4208 data_time: 0.0370 memory: 4652 grad_norm: 3.5449 loss: 4.0100 loss_cls: 2.6906 loss_bbox: 1.3193 +2024/10/30 09:17:13 - mmengine - INFO - Epoch(train) [86][ 500/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:41:21 time: 0.4258 data_time: 0.0382 memory: 4652 grad_norm: 2.9774 loss: 4.0294 loss_cls: 2.7012 loss_bbox: 1.3282 +2024/10/30 09:17:35 - mmengine - INFO - Epoch(train) [86][ 550/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:41:00 time: 0.4279 data_time: 0.0381 memory: 4652 grad_norm: 3.3804 loss: 4.0738 loss_cls: 2.7160 loss_bbox: 1.3578 +2024/10/30 09:17:56 - mmengine - INFO - Epoch(train) [86][ 600/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:40:38 time: 0.4213 data_time: 0.0386 memory: 4652 grad_norm: 3.3058 loss: 4.0181 loss_cls: 2.6998 loss_bbox: 1.3183 +2024/10/30 09:18:18 - mmengine - INFO - Epoch(train) [86][ 650/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:40:17 time: 0.4441 data_time: 0.0431 memory: 4652 grad_norm: 3.1350 loss: 4.1447 loss_cls: 2.7586 loss_bbox: 1.3861 +2024/10/30 09:18:40 - mmengine - INFO - Epoch(train) [86][ 700/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:39:56 time: 0.4364 data_time: 0.0377 memory: 4652 grad_norm: 3.6161 loss: 4.0505 loss_cls: 2.7123 loss_bbox: 1.3383 +2024/10/30 09:19:01 - mmengine - INFO - Epoch(train) [86][ 750/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:39:34 time: 0.4259 data_time: 0.0386 memory: 4652 grad_norm: 3.2372 loss: 4.0549 loss_cls: 2.7159 loss_bbox: 1.3390 +2024/10/30 09:19:23 - mmengine - INFO - Epoch(train) [86][ 800/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:39:13 time: 0.4317 data_time: 0.0380 memory: 4652 grad_norm: 2.9605 loss: 4.1129 loss_cls: 2.7241 loss_bbox: 1.3889 +2024/10/30 09:19:44 - mmengine - INFO - Epoch(train) [86][ 850/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:38:51 time: 0.4263 data_time: 0.0381 memory: 4652 grad_norm: 3.2720 loss: 4.0936 loss_cls: 2.7260 loss_bbox: 1.3676 +2024/10/30 09:20:06 - mmengine - INFO - Epoch(train) [86][ 900/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:38:30 time: 0.4330 data_time: 0.0386 memory: 4652 grad_norm: 3.1945 loss: 4.0722 loss_cls: 2.7306 loss_bbox: 1.3416 +2024/10/30 09:20:28 - mmengine - INFO - Epoch(train) [86][ 950/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:38:09 time: 0.4376 data_time: 0.0521 memory: 4652 grad_norm: 3.3060 loss: 4.1928 loss_cls: 2.7706 loss_bbox: 1.4222 +2024/10/30 09:20:50 - mmengine - INFO - Epoch(train) [86][1000/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:37:47 time: 0.4369 data_time: 0.0384 memory: 4652 grad_norm: 3.2155 loss: 4.0932 loss_cls: 2.7434 loss_bbox: 1.3498 +2024/10/30 09:21:12 - mmengine - INFO - Epoch(train) [86][1050/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:37:26 time: 0.4387 data_time: 0.0465 memory: 4652 grad_norm: 3.2702 loss: 3.9831 loss_cls: 2.6584 loss_bbox: 1.3247 +2024/10/30 09:21:34 - mmengine - INFO - Epoch(train) [86][1100/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:37:05 time: 0.4369 data_time: 0.0483 memory: 4652 grad_norm: 3.2004 loss: 3.9690 loss_cls: 2.6690 loss_bbox: 1.3000 +2024/10/30 09:21:56 - mmengine - INFO - Epoch(train) [86][1150/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:36:44 time: 0.4469 data_time: 0.0452 memory: 4652 grad_norm: 3.3664 loss: 4.0328 loss_cls: 2.6861 loss_bbox: 1.3466 +2024/10/30 09:22:17 - mmengine - INFO - Epoch(train) [86][1200/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:36:22 time: 0.4258 data_time: 0.0460 memory: 4652 grad_norm: 3.1981 loss: 3.9829 loss_cls: 2.6630 loss_bbox: 1.3200 +2024/10/30 09:22:39 - mmengine - INFO - Epoch(train) [86][1250/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:36:01 time: 0.4348 data_time: 0.0433 memory: 4652 grad_norm: 3.1648 loss: 4.0620 loss_cls: 2.6948 loss_bbox: 1.3672 +2024/10/30 09:23:01 - mmengine - INFO - Epoch(train) [86][1300/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:35:39 time: 0.4383 data_time: 0.0372 memory: 4652 grad_norm: 3.3129 loss: 3.9097 loss_cls: 2.6515 loss_bbox: 1.2582 +2024/10/30 09:23:26 - mmengine - INFO - Epoch(train) [86][1350/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:35:19 time: 0.4904 data_time: 0.1087 memory: 4652 grad_norm: 3.2062 loss: 4.1347 loss_cls: 2.7581 loss_bbox: 1.3766 +2024/10/30 09:23:48 - mmengine - INFO - Epoch(train) [86][1400/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:34:58 time: 0.4386 data_time: 0.0388 memory: 4652 grad_norm: 3.5043 loss: 4.0696 loss_cls: 2.7102 loss_bbox: 1.3594 +2024/10/30 09:23:52 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 09:24:09 - mmengine - INFO - Epoch(train) [86][1450/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:34:36 time: 0.4277 data_time: 0.0462 memory: 4652 grad_norm: 3.2142 loss: 4.0172 loss_cls: 2.6865 loss_bbox: 1.3307 +2024/10/30 09:24:31 - mmengine - INFO - Epoch(train) [86][1500/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:34:15 time: 0.4376 data_time: 0.0402 memory: 4652 grad_norm: 3.5170 loss: 3.9773 loss_cls: 2.6385 loss_bbox: 1.3389 +2024/10/30 09:24:53 - mmengine - INFO - Epoch(train) [86][1550/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:33:54 time: 0.4413 data_time: 0.0440 memory: 4652 grad_norm: 3.2164 loss: 4.0605 loss_cls: 2.7052 loss_bbox: 1.3553 +2024/10/30 09:25:14 - mmengine - INFO - Epoch(train) [86][1600/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:33:32 time: 0.4280 data_time: 0.0383 memory: 4652 grad_norm: 2.9794 loss: 4.1103 loss_cls: 2.7667 loss_bbox: 1.3436 +2024/10/30 09:25:37 - mmengine - INFO - Epoch(train) [86][1650/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:33:11 time: 0.4431 data_time: 0.0390 memory: 4652 grad_norm: 3.6141 loss: 4.0757 loss_cls: 2.7501 loss_bbox: 1.3256 +2024/10/30 09:25:58 - mmengine - INFO - Epoch(train) [86][1700/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:32:49 time: 0.4186 data_time: 0.0383 memory: 4652 grad_norm: 3.0843 loss: 4.1733 loss_cls: 2.7771 loss_bbox: 1.3963 +2024/10/30 09:26:20 - mmengine - INFO - Epoch(train) [86][1750/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:32:28 time: 0.4500 data_time: 0.0388 memory: 4652 grad_norm: 3.2707 loss: 4.1084 loss_cls: 2.7464 loss_bbox: 1.3620 +2024/10/30 09:26:41 - mmengine - INFO - Epoch(train) [86][1800/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:32:07 time: 0.4238 data_time: 0.0461 memory: 4652 grad_norm: 3.4663 loss: 4.0465 loss_cls: 2.7416 loss_bbox: 1.3049 +2024/10/30 09:27:03 - mmengine - INFO - Epoch(train) [86][1850/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:31:45 time: 0.4350 data_time: 0.0437 memory: 4652 grad_norm: 3.3224 loss: 4.0500 loss_cls: 2.7160 loss_bbox: 1.3340 +2024/10/30 09:27:27 - mmengine - INFO - Epoch(train) [86][1900/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:31:25 time: 0.4840 data_time: 0.0823 memory: 4652 grad_norm: 3.2652 loss: 4.0796 loss_cls: 2.7118 loss_bbox: 1.3678 +2024/10/30 09:27:48 - mmengine - INFO - Epoch(train) [86][1950/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:31:03 time: 0.4160 data_time: 0.0391 memory: 4652 grad_norm: 3.1446 loss: 4.0860 loss_cls: 2.7198 loss_bbox: 1.3662 +2024/10/30 09:28:10 - mmengine - INFO - Epoch(train) [86][2000/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:30:42 time: 0.4348 data_time: 0.0401 memory: 4652 grad_norm: 3.3511 loss: 3.9953 loss_cls: 2.6943 loss_bbox: 1.3009 +2024/10/30 09:28:32 - mmengine - INFO - Epoch(train) [86][2050/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:30:21 time: 0.4303 data_time: 0.0482 memory: 4652 grad_norm: 3.0558 loss: 3.9863 loss_cls: 2.6856 loss_bbox: 1.3007 +2024/10/30 09:28:53 - mmengine - INFO - Epoch(train) [86][2100/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:29:59 time: 0.4262 data_time: 0.0446 memory: 4652 grad_norm: 3.2218 loss: 4.1105 loss_cls: 2.7296 loss_bbox: 1.3809 +2024/10/30 09:29:15 - mmengine - INFO - Epoch(train) [86][2150/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:29:38 time: 0.4484 data_time: 0.0508 memory: 4652 grad_norm: 3.3184 loss: 4.0463 loss_cls: 2.6978 loss_bbox: 1.3486 +2024/10/30 09:29:36 - mmengine - INFO - Epoch(train) [86][2200/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:29:16 time: 0.4084 data_time: 0.0411 memory: 4652 grad_norm: 2.9543 loss: 4.0212 loss_cls: 2.6803 loss_bbox: 1.3409 +2024/10/30 09:29:58 - mmengine - INFO - Epoch(train) [86][2250/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:28:55 time: 0.4395 data_time: 0.0412 memory: 4652 grad_norm: 3.1359 loss: 4.0737 loss_cls: 2.7055 loss_bbox: 1.3682 +2024/10/30 09:30:19 - mmengine - INFO - Epoch(train) [86][2300/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:28:33 time: 0.4290 data_time: 0.0412 memory: 4652 grad_norm: 3.3278 loss: 4.1172 loss_cls: 2.7298 loss_bbox: 1.3874 +2024/10/30 09:30:41 - mmengine - INFO - Epoch(train) [86][2350/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:28:12 time: 0.4341 data_time: 0.0473 memory: 4652 grad_norm: 3.6322 loss: 4.1121 loss_cls: 2.7505 loss_bbox: 1.3616 +2024/10/30 09:31:03 - mmengine - INFO - Epoch(train) [86][2400/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:27:51 time: 0.4377 data_time: 0.0428 memory: 4652 grad_norm: 3.2837 loss: 4.1225 loss_cls: 2.7355 loss_bbox: 1.3870 +2024/10/30 09:31:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 09:31:25 - mmengine - INFO - Epoch(train) [86][2450/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:27:29 time: 0.4374 data_time: 0.0691 memory: 4652 grad_norm: 3.3545 loss: 4.0454 loss_cls: 2.7065 loss_bbox: 1.3389 +2024/10/30 09:31:47 - mmengine - INFO - Epoch(train) [86][2500/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:27:08 time: 0.4375 data_time: 0.0388 memory: 4652 grad_norm: 3.1566 loss: 4.0547 loss_cls: 2.7275 loss_bbox: 1.3272 +2024/10/30 09:32:08 - mmengine - INFO - Epoch(train) [86][2550/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:26:46 time: 0.4251 data_time: 0.0390 memory: 4652 grad_norm: 3.4336 loss: 3.9535 loss_cls: 2.6624 loss_bbox: 1.2911 +2024/10/30 09:32:30 - mmengine - INFO - Epoch(train) [86][2600/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:26:25 time: 0.4370 data_time: 0.0467 memory: 4652 grad_norm: 3.1766 loss: 4.0866 loss_cls: 2.7226 loss_bbox: 1.3639 +2024/10/30 09:32:52 - mmengine - INFO - Epoch(train) [86][2650/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:26:04 time: 0.4414 data_time: 0.0473 memory: 4652 grad_norm: 3.2755 loss: 4.1045 loss_cls: 2.7190 loss_bbox: 1.3854 +2024/10/30 09:33:13 - mmengine - INFO - Epoch(train) [86][2700/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:25:42 time: 0.4191 data_time: 0.0450 memory: 4652 grad_norm: 3.1047 loss: 3.9959 loss_cls: 2.6884 loss_bbox: 1.3075 +2024/10/30 09:33:35 - mmengine - INFO - Epoch(train) [86][2750/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:25:21 time: 0.4418 data_time: 0.0400 memory: 4652 grad_norm: 3.1035 loss: 3.9313 loss_cls: 2.6342 loss_bbox: 1.2970 +2024/10/30 09:33:57 - mmengine - INFO - Epoch(train) [86][2800/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:25:00 time: 0.4384 data_time: 0.0544 memory: 4652 grad_norm: 3.3917 loss: 4.1301 loss_cls: 2.7474 loss_bbox: 1.3826 +2024/10/30 09:34:19 - mmengine - INFO - Epoch(train) [86][2850/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:24:38 time: 0.4309 data_time: 0.0384 memory: 4652 grad_norm: 3.1848 loss: 4.1694 loss_cls: 2.7765 loss_bbox: 1.3929 +2024/10/30 09:34:40 - mmengine - INFO - Epoch(train) [86][2900/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:24:17 time: 0.4227 data_time: 0.0448 memory: 4652 grad_norm: 3.5139 loss: 4.1361 loss_cls: 2.7456 loss_bbox: 1.3905 +2024/10/30 09:35:00 - mmengine - INFO - Epoch(train) [86][2950/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:23:55 time: 0.4022 data_time: 0.0384 memory: 4652 grad_norm: 2.9702 loss: 4.1342 loss_cls: 2.7292 loss_bbox: 1.4050 +2024/10/30 09:35:22 - mmengine - INFO - Epoch(train) [86][3000/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:23:33 time: 0.4363 data_time: 0.0478 memory: 4652 grad_norm: 3.5252 loss: 4.1132 loss_cls: 2.7827 loss_bbox: 1.3306 +2024/10/30 09:35:42 - mmengine - INFO - Epoch(train) [86][3050/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 12:23:11 time: 0.4140 data_time: 0.0382 memory: 4652 grad_norm: 3.0697 loss: 4.0345 loss_cls: 2.7043 loss_bbox: 1.3302 +2024/10/30 09:35:44 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 09:35:44 - mmengine - INFO - Saving checkpoint at 86 epochs +2024/10/30 09:36:11 - mmengine - INFO - Epoch(train) [87][ 50/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:22:49 time: 0.4473 data_time: 0.0562 memory: 4652 grad_norm: 3.2142 loss: 3.9937 loss_cls: 2.6732 loss_bbox: 1.3205 +2024/10/30 09:36:32 - mmengine - INFO - Epoch(train) [87][ 100/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:22:27 time: 0.4251 data_time: 0.0453 memory: 4652 grad_norm: 3.3193 loss: 4.0269 loss_cls: 2.7016 loss_bbox: 1.3254 +2024/10/30 09:36:53 - mmengine - INFO - Epoch(train) [87][ 150/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:22:05 time: 0.4175 data_time: 0.0397 memory: 4652 grad_norm: 3.2818 loss: 4.0287 loss_cls: 2.6895 loss_bbox: 1.3392 +2024/10/30 09:37:14 - mmengine - INFO - Epoch(train) [87][ 200/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:21:44 time: 0.4244 data_time: 0.0377 memory: 4652 grad_norm: 3.3500 loss: 3.9829 loss_cls: 2.6587 loss_bbox: 1.3242 +2024/10/30 09:37:35 - mmengine - INFO - Epoch(train) [87][ 250/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:21:22 time: 0.4175 data_time: 0.0441 memory: 4652 grad_norm: 3.1894 loss: 4.0616 loss_cls: 2.7280 loss_bbox: 1.3336 +2024/10/30 09:37:56 - mmengine - INFO - Epoch(train) [87][ 300/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:21:00 time: 0.4244 data_time: 0.0390 memory: 4652 grad_norm: 3.0172 loss: 4.0304 loss_cls: 2.6922 loss_bbox: 1.3382 +2024/10/30 09:38:17 - mmengine - INFO - Epoch(train) [87][ 350/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:20:39 time: 0.4272 data_time: 0.0416 memory: 4652 grad_norm: 3.0725 loss: 3.9561 loss_cls: 2.6555 loss_bbox: 1.3005 +2024/10/30 09:38:20 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 09:38:39 - mmengine - INFO - Epoch(train) [87][ 400/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:20:17 time: 0.4206 data_time: 0.0384 memory: 4652 grad_norm: 3.2398 loss: 4.1554 loss_cls: 2.7478 loss_bbox: 1.4076 +2024/10/30 09:38:59 - mmengine - INFO - Epoch(train) [87][ 450/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:19:55 time: 0.4085 data_time: 0.0393 memory: 4652 grad_norm: 3.3136 loss: 4.0942 loss_cls: 2.7201 loss_bbox: 1.3741 +2024/10/30 09:39:20 - mmengine - INFO - Epoch(train) [87][ 500/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:19:34 time: 0.4250 data_time: 0.0486 memory: 4652 grad_norm: 3.3659 loss: 4.0411 loss_cls: 2.6818 loss_bbox: 1.3593 +2024/10/30 09:39:41 - mmengine - INFO - Epoch(train) [87][ 550/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:19:12 time: 0.4235 data_time: 0.0393 memory: 4652 grad_norm: 3.1477 loss: 4.0690 loss_cls: 2.7335 loss_bbox: 1.3355 +2024/10/30 09:40:02 - mmengine - INFO - Epoch(train) [87][ 600/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:18:51 time: 0.4165 data_time: 0.0481 memory: 4652 grad_norm: 3.3903 loss: 4.0461 loss_cls: 2.7161 loss_bbox: 1.3300 +2024/10/30 09:40:28 - mmengine - INFO - Epoch(train) [87][ 650/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:18:31 time: 0.5030 data_time: 0.1225 memory: 4652 grad_norm: 3.1787 loss: 4.0194 loss_cls: 2.7005 loss_bbox: 1.3188 +2024/10/30 09:40:48 - mmengine - INFO - Epoch(train) [87][ 700/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:18:09 time: 0.4103 data_time: 0.0441 memory: 4652 grad_norm: 3.0836 loss: 3.9424 loss_cls: 2.6537 loss_bbox: 1.2887 +2024/10/30 09:41:10 - mmengine - INFO - Epoch(train) [87][ 750/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:17:47 time: 0.4316 data_time: 0.0445 memory: 4652 grad_norm: 3.2505 loss: 4.1040 loss_cls: 2.7688 loss_bbox: 1.3352 +2024/10/30 09:41:31 - mmengine - INFO - Epoch(train) [87][ 800/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:17:26 time: 0.4190 data_time: 0.0399 memory: 4652 grad_norm: 3.3292 loss: 4.0525 loss_cls: 2.7235 loss_bbox: 1.3290 +2024/10/30 09:41:52 - mmengine - INFO - Epoch(train) [87][ 850/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:17:04 time: 0.4214 data_time: 0.0535 memory: 4652 grad_norm: 3.1582 loss: 4.0693 loss_cls: 2.7316 loss_bbox: 1.3378 +2024/10/30 09:42:13 - mmengine - INFO - Epoch(train) [87][ 900/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:16:42 time: 0.4289 data_time: 0.0407 memory: 4652 grad_norm: 3.1606 loss: 4.0198 loss_cls: 2.7097 loss_bbox: 1.3101 +2024/10/30 09:42:33 - mmengine - INFO - Epoch(train) [87][ 950/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:16:20 time: 0.4034 data_time: 0.0523 memory: 4652 grad_norm: 3.2612 loss: 4.0188 loss_cls: 2.6923 loss_bbox: 1.3265 +2024/10/30 09:42:54 - mmengine - INFO - Epoch(train) [87][1000/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:15:59 time: 0.4150 data_time: 0.0407 memory: 4652 grad_norm: 3.1609 loss: 4.0741 loss_cls: 2.7258 loss_bbox: 1.3483 +2024/10/30 09:43:15 - mmengine - INFO - Epoch(train) [87][1050/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:15:37 time: 0.4155 data_time: 0.0413 memory: 4652 grad_norm: 3.5136 loss: 4.1469 loss_cls: 2.6994 loss_bbox: 1.4475 +2024/10/30 09:43:36 - mmengine - INFO - Epoch(train) [87][1100/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:15:15 time: 0.4100 data_time: 0.0468 memory: 4652 grad_norm: 3.2151 loss: 4.0387 loss_cls: 2.7083 loss_bbox: 1.3304 +2024/10/30 09:43:57 - mmengine - INFO - Epoch(train) [87][1150/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:14:54 time: 0.4241 data_time: 0.0398 memory: 4652 grad_norm: 3.3938 loss: 4.0518 loss_cls: 2.7132 loss_bbox: 1.3386 +2024/10/30 09:44:17 - mmengine - INFO - Epoch(train) [87][1200/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:14:32 time: 0.4030 data_time: 0.0441 memory: 4652 grad_norm: 3.2179 loss: 4.0208 loss_cls: 2.6989 loss_bbox: 1.3219 +2024/10/30 09:44:39 - mmengine - INFO - Epoch(train) [87][1250/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:14:10 time: 0.4409 data_time: 0.0503 memory: 4652 grad_norm: 3.4117 loss: 4.0619 loss_cls: 2.6876 loss_bbox: 1.3743 +2024/10/30 09:44:59 - mmengine - INFO - Epoch(train) [87][1300/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:13:48 time: 0.4068 data_time: 0.0477 memory: 4652 grad_norm: 3.3231 loss: 4.0098 loss_cls: 2.6727 loss_bbox: 1.3371 +2024/10/30 09:45:20 - mmengine - INFO - Epoch(train) [87][1350/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:13:27 time: 0.4164 data_time: 0.0423 memory: 4652 grad_norm: 3.2551 loss: 4.0830 loss_cls: 2.7016 loss_bbox: 1.3814 +2024/10/30 09:45:22 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 09:45:42 - mmengine - INFO - Epoch(train) [87][1400/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:13:05 time: 0.4272 data_time: 0.0405 memory: 4652 grad_norm: 3.2571 loss: 4.0384 loss_cls: 2.6848 loss_bbox: 1.3536 +2024/10/30 09:46:01 - mmengine - INFO - Epoch(train) [87][1450/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:12:43 time: 0.3970 data_time: 0.0398 memory: 4652 grad_norm: 3.1469 loss: 4.0076 loss_cls: 2.6438 loss_bbox: 1.3638 +2024/10/30 09:46:26 - mmengine - INFO - Epoch(train) [87][1500/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:12:23 time: 0.4985 data_time: 0.0997 memory: 4652 grad_norm: 3.4548 loss: 4.0413 loss_cls: 2.6704 loss_bbox: 1.3709 +2024/10/30 09:46:47 - mmengine - INFO - Epoch(train) [87][1550/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:12:01 time: 0.4056 data_time: 0.0456 memory: 4652 grad_norm: 3.4564 loss: 3.9178 loss_cls: 2.6185 loss_bbox: 1.2993 +2024/10/30 09:47:08 - mmengine - INFO - Epoch(train) [87][1600/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:11:39 time: 0.4162 data_time: 0.0464 memory: 4652 grad_norm: 3.5723 loss: 4.0159 loss_cls: 2.6792 loss_bbox: 1.3367 +2024/10/30 09:47:29 - mmengine - INFO - Epoch(train) [87][1650/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:11:18 time: 0.4243 data_time: 0.0421 memory: 4652 grad_norm: 3.3790 loss: 3.9978 loss_cls: 2.6615 loss_bbox: 1.3363 +2024/10/30 09:47:50 - mmengine - INFO - Epoch(train) [87][1700/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:10:56 time: 0.4151 data_time: 0.0429 memory: 4652 grad_norm: 3.0477 loss: 4.1332 loss_cls: 2.7370 loss_bbox: 1.3961 +2024/10/30 09:48:11 - mmengine - INFO - Epoch(train) [87][1750/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:10:35 time: 0.4346 data_time: 0.0433 memory: 4652 grad_norm: 3.4612 loss: 3.9339 loss_cls: 2.6544 loss_bbox: 1.2795 +2024/10/30 09:48:32 - mmengine - INFO - Epoch(train) [87][1800/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:10:13 time: 0.4151 data_time: 0.0459 memory: 4652 grad_norm: 3.0787 loss: 4.0741 loss_cls: 2.6903 loss_bbox: 1.3838 +2024/10/30 09:48:54 - mmengine - INFO - Epoch(train) [87][1850/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:09:51 time: 0.4320 data_time: 0.0440 memory: 4652 grad_norm: 3.0512 loss: 3.9517 loss_cls: 2.6795 loss_bbox: 1.2722 +2024/10/30 09:49:15 - mmengine - INFO - Epoch(train) [87][1900/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:09:30 time: 0.4236 data_time: 0.0398 memory: 4652 grad_norm: 3.3736 loss: 3.9932 loss_cls: 2.6712 loss_bbox: 1.3220 +2024/10/30 09:49:35 - mmengine - INFO - Epoch(train) [87][1950/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:09:08 time: 0.4037 data_time: 0.0406 memory: 4652 grad_norm: 3.1730 loss: 4.0220 loss_cls: 2.6986 loss_bbox: 1.3234 +2024/10/30 09:49:57 - mmengine - INFO - Epoch(train) [87][2000/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:08:47 time: 0.4453 data_time: 0.0402 memory: 4652 grad_norm: 3.2901 loss: 4.0435 loss_cls: 2.7158 loss_bbox: 1.3277 +2024/10/30 09:50:17 - mmengine - INFO - Epoch(train) [87][2050/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:08:25 time: 0.4014 data_time: 0.0392 memory: 4652 grad_norm: 3.1543 loss: 4.0232 loss_cls: 2.6997 loss_bbox: 1.3235 +2024/10/30 09:50:39 - mmengine - INFO - Epoch(train) [87][2100/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:08:03 time: 0.4240 data_time: 0.0447 memory: 4652 grad_norm: 3.1064 loss: 4.0123 loss_cls: 2.6833 loss_bbox: 1.3291 +2024/10/30 09:51:00 - mmengine - INFO - Epoch(train) [87][2150/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:07:41 time: 0.4235 data_time: 0.0426 memory: 4652 grad_norm: 3.8115 loss: 4.1530 loss_cls: 2.7596 loss_bbox: 1.3934 +2024/10/30 09:51:21 - mmengine - INFO - Epoch(train) [87][2200/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:07:20 time: 0.4209 data_time: 0.0446 memory: 4652 grad_norm: 3.2326 loss: 4.0571 loss_cls: 2.7050 loss_bbox: 1.3521 +2024/10/30 09:51:42 - mmengine - INFO - Epoch(train) [87][2250/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:06:58 time: 0.4161 data_time: 0.0423 memory: 4652 grad_norm: 3.1251 loss: 4.0644 loss_cls: 2.7375 loss_bbox: 1.3269 +2024/10/30 09:52:02 - mmengine - INFO - Epoch(train) [87][2300/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:06:36 time: 0.4056 data_time: 0.0451 memory: 4652 grad_norm: 3.5165 loss: 4.0105 loss_cls: 2.6878 loss_bbox: 1.3227 +2024/10/30 09:52:26 - mmengine - INFO - Epoch(train) [87][2350/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:06:16 time: 0.4866 data_time: 0.0943 memory: 4652 grad_norm: 3.3208 loss: 4.0655 loss_cls: 2.7337 loss_bbox: 1.3318 +2024/10/30 09:52:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 09:52:47 - mmengine - INFO - Epoch(train) [87][2400/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:05:54 time: 0.4070 data_time: 0.0426 memory: 4652 grad_norm: 3.4357 loss: 4.1001 loss_cls: 2.7211 loss_bbox: 1.3790 +2024/10/30 09:53:08 - mmengine - INFO - Epoch(train) [87][2450/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:05:32 time: 0.4216 data_time: 0.0525 memory: 4652 grad_norm: 3.5440 loss: 4.0497 loss_cls: 2.7102 loss_bbox: 1.3395 +2024/10/30 09:53:30 - mmengine - INFO - Epoch(train) [87][2500/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:05:11 time: 0.4404 data_time: 0.0476 memory: 4652 grad_norm: 3.0583 loss: 4.0318 loss_cls: 2.6906 loss_bbox: 1.3412 +2024/10/30 09:53:50 - mmengine - INFO - Epoch(train) [87][2550/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:04:49 time: 0.4023 data_time: 0.0402 memory: 4652 grad_norm: 3.1450 loss: 4.0346 loss_cls: 2.7164 loss_bbox: 1.3182 +2024/10/30 09:54:12 - mmengine - INFO - Epoch(train) [87][2600/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:04:28 time: 0.4359 data_time: 0.0473 memory: 4652 grad_norm: 3.2901 loss: 4.0777 loss_cls: 2.7124 loss_bbox: 1.3653 +2024/10/30 09:54:32 - mmengine - INFO - Epoch(train) [87][2650/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:04:06 time: 0.4105 data_time: 0.0437 memory: 4652 grad_norm: 3.4120 loss: 4.0188 loss_cls: 2.6969 loss_bbox: 1.3219 +2024/10/30 09:54:54 - mmengine - INFO - Epoch(train) [87][2700/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:03:44 time: 0.4242 data_time: 0.0408 memory: 4652 grad_norm: 3.2714 loss: 4.0817 loss_cls: 2.6776 loss_bbox: 1.4041 +2024/10/30 09:55:15 - mmengine - INFO - Epoch(train) [87][2750/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:03:23 time: 0.4241 data_time: 0.0538 memory: 4652 grad_norm: 3.2849 loss: 4.0711 loss_cls: 2.7297 loss_bbox: 1.3414 +2024/10/30 09:55:36 - mmengine - INFO - Epoch(train) [87][2800/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:03:01 time: 0.4203 data_time: 0.0417 memory: 4652 grad_norm: 3.4254 loss: 4.0260 loss_cls: 2.6880 loss_bbox: 1.3380 +2024/10/30 09:55:58 - mmengine - INFO - Epoch(train) [87][2850/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:02:40 time: 0.4411 data_time: 0.0542 memory: 4652 grad_norm: 3.3140 loss: 4.1036 loss_cls: 2.7330 loss_bbox: 1.3706 +2024/10/30 09:56:19 - mmengine - INFO - Epoch(train) [87][2900/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:02:18 time: 0.4141 data_time: 0.0475 memory: 4652 grad_norm: 3.2912 loss: 4.0741 loss_cls: 2.6970 loss_bbox: 1.3771 +2024/10/30 09:56:39 - mmengine - INFO - Epoch(train) [87][2950/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:01:56 time: 0.4135 data_time: 0.0498 memory: 4652 grad_norm: 3.2553 loss: 4.0901 loss_cls: 2.7319 loss_bbox: 1.3582 +2024/10/30 09:57:00 - mmengine - INFO - Epoch(train) [87][3000/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:01:35 time: 0.4148 data_time: 0.0403 memory: 4652 grad_norm: 3.1640 loss: 4.0065 loss_cls: 2.6709 loss_bbox: 1.3356 +2024/10/30 09:57:21 - mmengine - INFO - Epoch(train) [87][3050/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 12:01:13 time: 0.4174 data_time: 0.0437 memory: 4652 grad_norm: 3.2377 loss: 4.1380 loss_cls: 2.7265 loss_bbox: 1.4115 +2024/10/30 09:57:23 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 09:57:23 - mmengine - INFO - Saving checkpoint at 87 epochs +2024/10/30 09:57:51 - mmengine - INFO - Epoch(train) [88][ 50/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 12:00:50 time: 0.4396 data_time: 0.0582 memory: 4652 grad_norm: 3.0589 loss: 4.0570 loss_cls: 2.7152 loss_bbox: 1.3418 +2024/10/30 09:58:11 - mmengine - INFO - Epoch(train) [88][ 100/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 12:00:28 time: 0.4081 data_time: 0.0404 memory: 4652 grad_norm: 3.2346 loss: 4.0703 loss_cls: 2.6964 loss_bbox: 1.3739 +2024/10/30 09:58:33 - mmengine - INFO - Epoch(train) [88][ 150/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 12:00:07 time: 0.4320 data_time: 0.0396 memory: 4652 grad_norm: 3.2414 loss: 3.9117 loss_cls: 2.6253 loss_bbox: 1.2864 +2024/10/30 09:58:54 - mmengine - INFO - Epoch(train) [88][ 200/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:59:45 time: 0.4347 data_time: 0.0446 memory: 4652 grad_norm: 3.3407 loss: 3.9425 loss_cls: 2.6252 loss_bbox: 1.3173 +2024/10/30 09:59:16 - mmengine - INFO - Epoch(train) [88][ 250/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:59:24 time: 0.4355 data_time: 0.0397 memory: 4652 grad_norm: 3.4395 loss: 4.0068 loss_cls: 2.6698 loss_bbox: 1.3370 +2024/10/30 09:59:38 - mmengine - INFO - Epoch(train) [88][ 300/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:59:03 time: 0.4367 data_time: 0.0479 memory: 4652 grad_norm: 3.2929 loss: 4.0657 loss_cls: 2.6847 loss_bbox: 1.3810 +2024/10/30 09:59:39 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 09:59:59 - mmengine - INFO - Epoch(train) [88][ 350/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:58:41 time: 0.4182 data_time: 0.0421 memory: 4652 grad_norm: 3.3912 loss: 3.9274 loss_cls: 2.6229 loss_bbox: 1.3045 +2024/10/30 10:00:21 - mmengine - INFO - Epoch(train) [88][ 400/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:58:19 time: 0.4286 data_time: 0.0394 memory: 4652 grad_norm: 3.1573 loss: 4.0333 loss_cls: 2.6833 loss_bbox: 1.3500 +2024/10/30 10:00:42 - mmengine - INFO - Epoch(train) [88][ 450/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:57:58 time: 0.4220 data_time: 0.0377 memory: 4652 grad_norm: 3.6101 loss: 4.0472 loss_cls: 2.6631 loss_bbox: 1.3841 +2024/10/30 10:01:03 - mmengine - INFO - Epoch(train) [88][ 500/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:57:36 time: 0.4243 data_time: 0.0394 memory: 4652 grad_norm: 3.4011 loss: 4.0706 loss_cls: 2.7172 loss_bbox: 1.3534 +2024/10/30 10:01:26 - mmengine - INFO - Epoch(train) [88][ 550/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:57:15 time: 0.4642 data_time: 0.0907 memory: 4652 grad_norm: 3.2765 loss: 3.9874 loss_cls: 2.6544 loss_bbox: 1.3330 +2024/10/30 10:01:47 - mmengine - INFO - Epoch(train) [88][ 600/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:56:54 time: 0.4164 data_time: 0.0447 memory: 4652 grad_norm: 3.3603 loss: 3.9990 loss_cls: 2.6625 loss_bbox: 1.3365 +2024/10/30 10:02:08 - mmengine - INFO - Epoch(train) [88][ 650/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:56:32 time: 0.4280 data_time: 0.0454 memory: 4652 grad_norm: 3.4445 loss: 3.9367 loss_cls: 2.6417 loss_bbox: 1.2950 +2024/10/30 10:02:30 - mmengine - INFO - Epoch(train) [88][ 700/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:56:11 time: 0.4290 data_time: 0.0398 memory: 4652 grad_norm: 3.4241 loss: 4.0275 loss_cls: 2.6918 loss_bbox: 1.3357 +2024/10/30 10:02:51 - mmengine - INFO - Epoch(train) [88][ 750/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:55:49 time: 0.4260 data_time: 0.0393 memory: 4652 grad_norm: 3.4042 loss: 4.0604 loss_cls: 2.6891 loss_bbox: 1.3713 +2024/10/30 10:03:13 - mmengine - INFO - Epoch(train) [88][ 800/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:55:28 time: 0.4293 data_time: 0.0395 memory: 4652 grad_norm: 3.3906 loss: 3.9792 loss_cls: 2.6646 loss_bbox: 1.3145 +2024/10/30 10:03:33 - mmengine - INFO - Epoch(train) [88][ 850/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:55:06 time: 0.4123 data_time: 0.0427 memory: 4652 grad_norm: 3.4722 loss: 4.0395 loss_cls: 2.6804 loss_bbox: 1.3591 +2024/10/30 10:03:55 - mmengine - INFO - Epoch(train) [88][ 900/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:54:44 time: 0.4214 data_time: 0.0450 memory: 4652 grad_norm: 3.6377 loss: 3.9317 loss_cls: 2.6394 loss_bbox: 1.2923 +2024/10/30 10:04:16 - mmengine - INFO - Epoch(train) [88][ 950/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:54:23 time: 0.4195 data_time: 0.0438 memory: 4652 grad_norm: 3.1226 loss: 4.0880 loss_cls: 2.7172 loss_bbox: 1.3708 +2024/10/30 10:04:37 - mmengine - INFO - Epoch(train) [88][1000/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:54:01 time: 0.4389 data_time: 0.0398 memory: 4652 grad_norm: 3.6437 loss: 4.0345 loss_cls: 2.6991 loss_bbox: 1.3354 +2024/10/30 10:04:59 - mmengine - INFO - Epoch(train) [88][1050/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:53:40 time: 0.4312 data_time: 0.0480 memory: 4652 grad_norm: 3.1329 loss: 3.9551 loss_cls: 2.6533 loss_bbox: 1.3018 +2024/10/30 10:05:20 - mmengine - INFO - Epoch(train) [88][1100/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:53:18 time: 0.4249 data_time: 0.0401 memory: 4652 grad_norm: 3.1333 loss: 4.0210 loss_cls: 2.6627 loss_bbox: 1.3584 +2024/10/30 10:05:43 - mmengine - INFO - Epoch(train) [88][1150/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:52:57 time: 0.4427 data_time: 0.0465 memory: 4652 grad_norm: 3.1663 loss: 4.1582 loss_cls: 2.7638 loss_bbox: 1.3944 +2024/10/30 10:06:04 - mmengine - INFO - Epoch(train) [88][1200/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:52:36 time: 0.4265 data_time: 0.0400 memory: 4652 grad_norm: 3.3934 loss: 4.0261 loss_cls: 2.6567 loss_bbox: 1.3694 +2024/10/30 10:06:27 - mmengine - INFO - Epoch(train) [88][1250/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:52:15 time: 0.4608 data_time: 0.0637 memory: 4652 grad_norm: 3.5715 loss: 4.0908 loss_cls: 2.7257 loss_bbox: 1.3651 +2024/10/30 10:06:49 - mmengine - INFO - Epoch(train) [88][1300/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:51:53 time: 0.4325 data_time: 0.0401 memory: 4652 grad_norm: 3.2860 loss: 4.1053 loss_cls: 2.7222 loss_bbox: 1.3831 +2024/10/30 10:06:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 10:07:10 - mmengine - INFO - Epoch(train) [88][1350/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:51:32 time: 0.4300 data_time: 0.0442 memory: 4652 grad_norm: 3.3302 loss: 4.0692 loss_cls: 2.7199 loss_bbox: 1.3492 +2024/10/30 10:07:32 - mmengine - INFO - Epoch(train) [88][1400/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:51:11 time: 0.4430 data_time: 0.0483 memory: 4652 grad_norm: 3.5719 loss: 3.9806 loss_cls: 2.6647 loss_bbox: 1.3159 +2024/10/30 10:07:54 - mmengine - INFO - Epoch(train) [88][1450/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:50:49 time: 0.4278 data_time: 0.0459 memory: 4652 grad_norm: 3.1858 loss: 3.9567 loss_cls: 2.6553 loss_bbox: 1.3014 +2024/10/30 10:08:15 - mmengine - INFO - Epoch(train) [88][1500/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:50:28 time: 0.4199 data_time: 0.0408 memory: 4652 grad_norm: 3.1963 loss: 3.9817 loss_cls: 2.6784 loss_bbox: 1.3033 +2024/10/30 10:08:36 - mmengine - INFO - Epoch(train) [88][1550/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:50:06 time: 0.4305 data_time: 0.0431 memory: 4652 grad_norm: 3.4334 loss: 4.0627 loss_cls: 2.7144 loss_bbox: 1.3483 +2024/10/30 10:08:59 - mmengine - INFO - Epoch(train) [88][1600/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:49:45 time: 0.4494 data_time: 0.0453 memory: 4652 grad_norm: 3.3476 loss: 4.0638 loss_cls: 2.6954 loss_bbox: 1.3684 +2024/10/30 10:09:22 - mmengine - INFO - Epoch(train) [88][1650/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:49:24 time: 0.4609 data_time: 0.0414 memory: 4652 grad_norm: 3.6751 loss: 3.9634 loss_cls: 2.6335 loss_bbox: 1.3299 +2024/10/30 10:09:43 - mmengine - INFO - Epoch(train) [88][1700/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:49:03 time: 0.4265 data_time: 0.0407 memory: 4652 grad_norm: 3.1256 loss: 3.9788 loss_cls: 2.6739 loss_bbox: 1.3049 +2024/10/30 10:10:05 - mmengine - INFO - Epoch(train) [88][1750/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:48:41 time: 0.4281 data_time: 0.0416 memory: 4652 grad_norm: 3.0790 loss: 4.0108 loss_cls: 2.6848 loss_bbox: 1.3260 +2024/10/30 10:10:27 - mmengine - INFO - Epoch(train) [88][1800/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:48:20 time: 0.4430 data_time: 0.0566 memory: 4652 grad_norm: 3.2307 loss: 3.9684 loss_cls: 2.6643 loss_bbox: 1.3041 +2024/10/30 10:10:49 - mmengine - INFO - Epoch(train) [88][1850/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:47:59 time: 0.4520 data_time: 0.0491 memory: 4652 grad_norm: 3.3495 loss: 4.1374 loss_cls: 2.7545 loss_bbox: 1.3829 +2024/10/30 10:11:11 - mmengine - INFO - Epoch(train) [88][1900/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:47:37 time: 0.4202 data_time: 0.0403 memory: 4652 grad_norm: 3.3364 loss: 4.1616 loss_cls: 2.7336 loss_bbox: 1.4280 +2024/10/30 10:11:33 - mmengine - INFO - Epoch(train) [88][1950/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:47:16 time: 0.4476 data_time: 0.0466 memory: 4652 grad_norm: 3.4451 loss: 3.9701 loss_cls: 2.6421 loss_bbox: 1.3281 +2024/10/30 10:11:54 - mmengine - INFO - Epoch(train) [88][2000/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:46:54 time: 0.4197 data_time: 0.0377 memory: 4652 grad_norm: 3.2179 loss: 4.0054 loss_cls: 2.6820 loss_bbox: 1.3234 +2024/10/30 10:12:16 - mmengine - INFO - Epoch(train) [88][2050/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:46:33 time: 0.4352 data_time: 0.0456 memory: 4652 grad_norm: 3.3624 loss: 4.0628 loss_cls: 2.7128 loss_bbox: 1.3500 +2024/10/30 10:12:37 - mmengine - INFO - Epoch(train) [88][2100/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:46:12 time: 0.4335 data_time: 0.0482 memory: 4652 grad_norm: 3.4941 loss: 3.9009 loss_cls: 2.6185 loss_bbox: 1.2824 +2024/10/30 10:12:59 - mmengine - INFO - Epoch(train) [88][2150/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:45:50 time: 0.4373 data_time: 0.0496 memory: 4652 grad_norm: 3.3744 loss: 3.9619 loss_cls: 2.6649 loss_bbox: 1.2970 +2024/10/30 10:13:21 - mmengine - INFO - Epoch(train) [88][2200/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:45:29 time: 0.4298 data_time: 0.0440 memory: 4652 grad_norm: 3.2888 loss: 4.1133 loss_cls: 2.7666 loss_bbox: 1.3468 +2024/10/30 10:13:42 - mmengine - INFO - Epoch(train) [88][2250/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:45:07 time: 0.4248 data_time: 0.0412 memory: 4652 grad_norm: 3.3279 loss: 4.0384 loss_cls: 2.7117 loss_bbox: 1.3268 +2024/10/30 10:14:04 - mmengine - INFO - Epoch(train) [88][2300/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:44:46 time: 0.4380 data_time: 0.0396 memory: 4652 grad_norm: 3.5992 loss: 4.0347 loss_cls: 2.7077 loss_bbox: 1.3270 +2024/10/30 10:14:06 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 10:14:27 - mmengine - INFO - Epoch(train) [88][2350/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:44:25 time: 0.4560 data_time: 0.0599 memory: 4652 grad_norm: 3.2435 loss: 4.0184 loss_cls: 2.6749 loss_bbox: 1.3435 +2024/10/30 10:14:48 - mmengine - INFO - Epoch(train) [88][2400/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:44:04 time: 0.4245 data_time: 0.0405 memory: 4652 grad_norm: 3.6006 loss: 4.0054 loss_cls: 2.6874 loss_bbox: 1.3180 +2024/10/30 10:15:11 - mmengine - INFO - Epoch(train) [88][2450/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:43:42 time: 0.4470 data_time: 0.0411 memory: 4652 grad_norm: 3.4748 loss: 3.9776 loss_cls: 2.6496 loss_bbox: 1.3280 +2024/10/30 10:15:32 - mmengine - INFO - Epoch(train) [88][2500/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:43:21 time: 0.4345 data_time: 0.0390 memory: 4652 grad_norm: 3.1132 loss: 4.0930 loss_cls: 2.7175 loss_bbox: 1.3755 +2024/10/30 10:15:55 - mmengine - INFO - Epoch(train) [88][2550/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:43:00 time: 0.4470 data_time: 0.0383 memory: 4652 grad_norm: 3.3342 loss: 4.0710 loss_cls: 2.7020 loss_bbox: 1.3690 +2024/10/30 10:16:17 - mmengine - INFO - Epoch(train) [88][2600/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:42:39 time: 0.4429 data_time: 0.0419 memory: 4652 grad_norm: 3.4893 loss: 4.0934 loss_cls: 2.7140 loss_bbox: 1.3794 +2024/10/30 10:16:38 - mmengine - INFO - Epoch(train) [88][2650/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:42:17 time: 0.4316 data_time: 0.0415 memory: 4652 grad_norm: 3.0463 loss: 3.9963 loss_cls: 2.7034 loss_bbox: 1.2928 +2024/10/30 10:17:01 - mmengine - INFO - Epoch(train) [88][2700/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:41:56 time: 0.4557 data_time: 0.0447 memory: 4652 grad_norm: 3.4002 loss: 4.0194 loss_cls: 2.6867 loss_bbox: 1.3327 +2024/10/30 10:17:27 - mmengine - INFO - Epoch(train) [88][2750/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:41:36 time: 0.5091 data_time: 0.1024 memory: 4652 grad_norm: 3.3414 loss: 3.9836 loss_cls: 2.6348 loss_bbox: 1.3488 +2024/10/30 10:17:49 - mmengine - INFO - Epoch(train) [88][2800/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:41:15 time: 0.4432 data_time: 0.0409 memory: 4652 grad_norm: 3.4067 loss: 3.9549 loss_cls: 2.6674 loss_bbox: 1.2875 +2024/10/30 10:18:11 - mmengine - INFO - Epoch(train) [88][2850/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:40:54 time: 0.4386 data_time: 0.0393 memory: 4652 grad_norm: 3.2709 loss: 4.0290 loss_cls: 2.6699 loss_bbox: 1.3591 +2024/10/30 10:18:33 - mmengine - INFO - Epoch(train) [88][2900/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:40:32 time: 0.4318 data_time: 0.0410 memory: 4652 grad_norm: 3.5107 loss: 4.0320 loss_cls: 2.7132 loss_bbox: 1.3188 +2024/10/30 10:18:55 - mmengine - INFO - Epoch(train) [88][2950/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:40:11 time: 0.4437 data_time: 0.0420 memory: 4652 grad_norm: 3.3570 loss: 4.0019 loss_cls: 2.6347 loss_bbox: 1.3672 +2024/10/30 10:19:17 - mmengine - INFO - Epoch(train) [88][3000/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:39:50 time: 0.4355 data_time: 0.0469 memory: 4652 grad_norm: 3.3454 loss: 4.0785 loss_cls: 2.7159 loss_bbox: 1.3626 +2024/10/30 10:19:38 - mmengine - INFO - Epoch(train) [88][3050/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 11:39:28 time: 0.4363 data_time: 0.0397 memory: 4652 grad_norm: 3.4447 loss: 4.1111 loss_cls: 2.7312 loss_bbox: 1.3800 +2024/10/30 10:19:40 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 10:19:40 - mmengine - INFO - Saving checkpoint at 88 epochs +2024/10/30 10:20:08 - mmengine - INFO - Epoch(train) [89][ 50/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:39:05 time: 0.4378 data_time: 0.0577 memory: 4652 grad_norm: 3.0606 loss: 4.0020 loss_cls: 2.6756 loss_bbox: 1.3265 +2024/10/30 10:20:28 - mmengine - INFO - Epoch(train) [89][ 100/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:38:43 time: 0.4007 data_time: 0.0410 memory: 4652 grad_norm: 3.1250 loss: 4.0409 loss_cls: 2.7134 loss_bbox: 1.3275 +2024/10/30 10:20:50 - mmengine - INFO - Epoch(train) [89][ 150/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:38:22 time: 0.4293 data_time: 0.0383 memory: 4652 grad_norm: 3.3817 loss: 3.9562 loss_cls: 2.6396 loss_bbox: 1.3165 +2024/10/30 10:21:10 - mmengine - INFO - Epoch(train) [89][ 200/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:38:00 time: 0.4058 data_time: 0.0461 memory: 4652 grad_norm: 3.1125 loss: 4.0210 loss_cls: 2.6737 loss_bbox: 1.3473 +2024/10/30 10:21:30 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 10:21:31 - mmengine - INFO - Epoch(train) [89][ 250/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:37:38 time: 0.4149 data_time: 0.0413 memory: 4652 grad_norm: 3.1417 loss: 3.9981 loss_cls: 2.6652 loss_bbox: 1.3329 +2024/10/30 10:21:52 - mmengine - INFO - Epoch(train) [89][ 300/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:37:17 time: 0.4244 data_time: 0.0493 memory: 4652 grad_norm: 3.2614 loss: 3.9299 loss_cls: 2.6575 loss_bbox: 1.2725 +2024/10/30 10:22:13 - mmengine - INFO - Epoch(train) [89][ 350/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:36:55 time: 0.4142 data_time: 0.0504 memory: 4652 grad_norm: 3.4904 loss: 3.8786 loss_cls: 2.6239 loss_bbox: 1.2547 +2024/10/30 10:22:34 - mmengine - INFO - Epoch(train) [89][ 400/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:36:33 time: 0.4215 data_time: 0.0402 memory: 4652 grad_norm: 3.2916 loss: 4.0643 loss_cls: 2.7307 loss_bbox: 1.3336 +2024/10/30 10:22:55 - mmengine - INFO - Epoch(train) [89][ 450/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:36:12 time: 0.4162 data_time: 0.0514 memory: 4652 grad_norm: 3.5355 loss: 3.9733 loss_cls: 2.6262 loss_bbox: 1.3471 +2024/10/30 10:23:16 - mmengine - INFO - Epoch(train) [89][ 500/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:35:50 time: 0.4243 data_time: 0.0421 memory: 4652 grad_norm: 3.3909 loss: 3.9483 loss_cls: 2.6636 loss_bbox: 1.2847 +2024/10/30 10:23:37 - mmengine - INFO - Epoch(train) [89][ 550/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:35:28 time: 0.4171 data_time: 0.0439 memory: 4652 grad_norm: 3.3974 loss: 4.0634 loss_cls: 2.6881 loss_bbox: 1.3753 +2024/10/30 10:23:57 - mmengine - INFO - Epoch(train) [89][ 600/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:35:07 time: 0.4083 data_time: 0.0495 memory: 4652 grad_norm: 3.5286 loss: 4.0124 loss_cls: 2.6649 loss_bbox: 1.3474 +2024/10/30 10:24:19 - mmengine - INFO - Epoch(train) [89][ 650/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:34:45 time: 0.4433 data_time: 0.0537 memory: 4652 grad_norm: 3.5681 loss: 3.9125 loss_cls: 2.6302 loss_bbox: 1.2823 +2024/10/30 10:24:40 - mmengine - INFO - Epoch(train) [89][ 700/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:34:23 time: 0.4091 data_time: 0.0410 memory: 4652 grad_norm: 3.8036 loss: 4.0527 loss_cls: 2.6905 loss_bbox: 1.3622 +2024/10/30 10:25:01 - mmengine - INFO - Epoch(train) [89][ 750/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:34:02 time: 0.4259 data_time: 0.0401 memory: 4652 grad_norm: 3.1771 loss: 3.8769 loss_cls: 2.5994 loss_bbox: 1.2775 +2024/10/30 10:25:22 - mmengine - INFO - Epoch(train) [89][ 800/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:33:40 time: 0.4124 data_time: 0.0419 memory: 4652 grad_norm: 3.1712 loss: 3.9680 loss_cls: 2.6598 loss_bbox: 1.3082 +2024/10/30 10:25:42 - mmengine - INFO - Epoch(train) [89][ 850/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:33:18 time: 0.4053 data_time: 0.0424 memory: 4652 grad_norm: 3.5058 loss: 3.9306 loss_cls: 2.6267 loss_bbox: 1.3039 +2024/10/30 10:26:03 - mmengine - INFO - Epoch(train) [89][ 900/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:32:57 time: 0.4271 data_time: 0.0414 memory: 4652 grad_norm: 3.3075 loss: 4.0106 loss_cls: 2.6519 loss_bbox: 1.3588 +2024/10/30 10:26:25 - mmengine - INFO - Epoch(train) [89][ 950/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:32:35 time: 0.4253 data_time: 0.0521 memory: 4652 grad_norm: 3.3844 loss: 4.0470 loss_cls: 2.6789 loss_bbox: 1.3681 +2024/10/30 10:26:45 - mmengine - INFO - Epoch(train) [89][1000/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:32:13 time: 0.4127 data_time: 0.0422 memory: 4652 grad_norm: 3.5185 loss: 4.0668 loss_cls: 2.7035 loss_bbox: 1.3633 +2024/10/30 10:27:06 - mmengine - INFO - Epoch(train) [89][1050/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:31:52 time: 0.4132 data_time: 0.0457 memory: 4652 grad_norm: 2.9808 loss: 4.0244 loss_cls: 2.6737 loss_bbox: 1.3507 +2024/10/30 10:27:27 - mmengine - INFO - Epoch(train) [89][1100/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:31:30 time: 0.4200 data_time: 0.0426 memory: 4652 grad_norm: 3.7067 loss: 4.0123 loss_cls: 2.7055 loss_bbox: 1.3069 +2024/10/30 10:27:48 - mmengine - INFO - Epoch(train) [89][1150/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:31:08 time: 0.4124 data_time: 0.0415 memory: 4652 grad_norm: 3.3306 loss: 3.9617 loss_cls: 2.6804 loss_bbox: 1.2813 +2024/10/30 10:28:09 - mmengine - INFO - Epoch(train) [89][1200/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:30:47 time: 0.4175 data_time: 0.0510 memory: 4652 grad_norm: 3.3406 loss: 3.9666 loss_cls: 2.6810 loss_bbox: 1.2856 +2024/10/30 10:28:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 10:28:31 - mmengine - INFO - Epoch(train) [89][1250/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:30:25 time: 0.4382 data_time: 0.0583 memory: 4652 grad_norm: 3.2133 loss: 4.0946 loss_cls: 2.7033 loss_bbox: 1.3913 +2024/10/30 10:28:51 - mmengine - INFO - Epoch(train) [89][1300/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:30:03 time: 0.4129 data_time: 0.0422 memory: 4652 grad_norm: 3.2541 loss: 3.9820 loss_cls: 2.6505 loss_bbox: 1.3315 +2024/10/30 10:29:13 - mmengine - INFO - Epoch(train) [89][1350/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:29:42 time: 0.4293 data_time: 0.0403 memory: 4652 grad_norm: 3.1947 loss: 4.0375 loss_cls: 2.6804 loss_bbox: 1.3571 +2024/10/30 10:29:34 - mmengine - INFO - Epoch(train) [89][1400/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:29:20 time: 0.4170 data_time: 0.0417 memory: 4652 grad_norm: 3.3040 loss: 4.0477 loss_cls: 2.6908 loss_bbox: 1.3569 +2024/10/30 10:29:55 - mmengine - INFO - Epoch(train) [89][1450/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:28:59 time: 0.4281 data_time: 0.0489 memory: 4652 grad_norm: 3.3746 loss: 3.9584 loss_cls: 2.6495 loss_bbox: 1.3089 +2024/10/30 10:30:17 - mmengine - INFO - Epoch(train) [89][1500/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:28:38 time: 0.4460 data_time: 0.0503 memory: 4652 grad_norm: 3.3253 loss: 3.9961 loss_cls: 2.6430 loss_bbox: 1.3531 +2024/10/30 10:30:39 - mmengine - INFO - Epoch(train) [89][1550/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:28:16 time: 0.4305 data_time: 0.0478 memory: 4652 grad_norm: 3.2578 loss: 4.0144 loss_cls: 2.6697 loss_bbox: 1.3447 +2024/10/30 10:31:00 - mmengine - INFO - Epoch(train) [89][1600/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:27:55 time: 0.4313 data_time: 0.0437 memory: 4652 grad_norm: 3.1561 loss: 3.9731 loss_cls: 2.6567 loss_bbox: 1.3163 +2024/10/30 10:31:22 - mmengine - INFO - Epoch(train) [89][1650/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:27:33 time: 0.4274 data_time: 0.0493 memory: 4652 grad_norm: 3.4093 loss: 4.0113 loss_cls: 2.6353 loss_bbox: 1.3760 +2024/10/30 10:31:43 - mmengine - INFO - Epoch(train) [89][1700/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:27:12 time: 0.4268 data_time: 0.0447 memory: 4652 grad_norm: 3.5402 loss: 4.0379 loss_cls: 2.6698 loss_bbox: 1.3682 +2024/10/30 10:32:06 - mmengine - INFO - Epoch(train) [89][1750/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:26:51 time: 0.4455 data_time: 0.0512 memory: 4652 grad_norm: 3.1929 loss: 3.9360 loss_cls: 2.6277 loss_bbox: 1.3082 +2024/10/30 10:32:27 - mmengine - INFO - Epoch(train) [89][1800/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:26:29 time: 0.4242 data_time: 0.0478 memory: 4652 grad_norm: 3.3748 loss: 4.0824 loss_cls: 2.7136 loss_bbox: 1.3688 +2024/10/30 10:32:48 - mmengine - INFO - Epoch(train) [89][1850/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:26:07 time: 0.4266 data_time: 0.0449 memory: 4652 grad_norm: 3.4398 loss: 4.0482 loss_cls: 2.7074 loss_bbox: 1.3408 +2024/10/30 10:33:09 - mmengine - INFO - Epoch(train) [89][1900/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:25:46 time: 0.4207 data_time: 0.0394 memory: 4652 grad_norm: 3.3017 loss: 4.0050 loss_cls: 2.6859 loss_bbox: 1.3191 +2024/10/30 10:33:30 - mmengine - INFO - Epoch(train) [89][1950/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:25:24 time: 0.4258 data_time: 0.0442 memory: 4652 grad_norm: 3.2961 loss: 3.9002 loss_cls: 2.6267 loss_bbox: 1.2734 +2024/10/30 10:33:51 - mmengine - INFO - Epoch(train) [89][2000/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:25:03 time: 0.4174 data_time: 0.0492 memory: 4652 grad_norm: 3.2528 loss: 3.9844 loss_cls: 2.6781 loss_bbox: 1.3063 +2024/10/30 10:34:12 - mmengine - INFO - Epoch(train) [89][2050/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:24:41 time: 0.4173 data_time: 0.0407 memory: 4652 grad_norm: 3.4634 loss: 4.0359 loss_cls: 2.6952 loss_bbox: 1.3407 +2024/10/30 10:34:33 - mmengine - INFO - Epoch(train) [89][2100/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:24:19 time: 0.4230 data_time: 0.0413 memory: 4652 grad_norm: 3.1961 loss: 4.0913 loss_cls: 2.6796 loss_bbox: 1.4117 +2024/10/30 10:34:54 - mmengine - INFO - Epoch(train) [89][2150/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:23:58 time: 0.4195 data_time: 0.0465 memory: 4652 grad_norm: 3.1020 loss: 3.9597 loss_cls: 2.6372 loss_bbox: 1.3225 +2024/10/30 10:35:16 - mmengine - INFO - Epoch(train) [89][2200/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:23:36 time: 0.4393 data_time: 0.0469 memory: 4652 grad_norm: 3.4999 loss: 4.0465 loss_cls: 2.7103 loss_bbox: 1.3362 +2024/10/30 10:35:37 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 10:35:37 - mmengine - INFO - Epoch(train) [89][2250/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:23:15 time: 0.4203 data_time: 0.0488 memory: 4652 grad_norm: 3.1153 loss: 4.1000 loss_cls: 2.7318 loss_bbox: 1.3682 +2024/10/30 10:35:58 - mmengine - INFO - Epoch(train) [89][2300/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:22:53 time: 0.4181 data_time: 0.0423 memory: 4652 grad_norm: 3.4713 loss: 4.0006 loss_cls: 2.6526 loss_bbox: 1.3480 +2024/10/30 10:36:20 - mmengine - INFO - Epoch(train) [89][2350/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:22:32 time: 0.4329 data_time: 0.0464 memory: 4652 grad_norm: 3.3889 loss: 3.9241 loss_cls: 2.6202 loss_bbox: 1.3040 +2024/10/30 10:36:41 - mmengine - INFO - Epoch(train) [89][2400/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:22:10 time: 0.4170 data_time: 0.0414 memory: 4652 grad_norm: 3.6627 loss: 4.1010 loss_cls: 2.7209 loss_bbox: 1.3801 +2024/10/30 10:37:02 - mmengine - INFO - Epoch(train) [89][2450/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:21:49 time: 0.4264 data_time: 0.0508 memory: 4652 grad_norm: 3.4767 loss: 3.9788 loss_cls: 2.6633 loss_bbox: 1.3155 +2024/10/30 10:37:26 - mmengine - INFO - Epoch(train) [89][2500/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:21:28 time: 0.4687 data_time: 0.0877 memory: 4652 grad_norm: 3.6187 loss: 4.0395 loss_cls: 2.6975 loss_bbox: 1.3419 +2024/10/30 10:37:47 - mmengine - INFO - Epoch(train) [89][2550/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:21:06 time: 0.4244 data_time: 0.0408 memory: 4652 grad_norm: 3.2845 loss: 4.0069 loss_cls: 2.7050 loss_bbox: 1.3019 +2024/10/30 10:38:08 - mmengine - INFO - Epoch(train) [89][2600/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:20:45 time: 0.4268 data_time: 0.0434 memory: 4652 grad_norm: 3.3128 loss: 4.0415 loss_cls: 2.6940 loss_bbox: 1.3475 +2024/10/30 10:38:29 - mmengine - INFO - Epoch(train) [89][2650/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:20:23 time: 0.4185 data_time: 0.0422 memory: 4652 grad_norm: 3.6047 loss: 4.0311 loss_cls: 2.6785 loss_bbox: 1.3526 +2024/10/30 10:38:50 - mmengine - INFO - Epoch(train) [89][2700/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:20:01 time: 0.4217 data_time: 0.0411 memory: 4652 grad_norm: 3.5677 loss: 3.9196 loss_cls: 2.6222 loss_bbox: 1.2975 +2024/10/30 10:39:12 - mmengine - INFO - Epoch(train) [89][2750/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:19:40 time: 0.4286 data_time: 0.0459 memory: 4652 grad_norm: 3.5204 loss: 3.8990 loss_cls: 2.6343 loss_bbox: 1.2646 +2024/10/30 10:39:33 - mmengine - INFO - Epoch(train) [89][2800/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:19:18 time: 0.4232 data_time: 0.0445 memory: 4652 grad_norm: 3.2877 loss: 4.1063 loss_cls: 2.7212 loss_bbox: 1.3852 +2024/10/30 10:39:54 - mmengine - INFO - Epoch(train) [89][2850/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:18:57 time: 0.4208 data_time: 0.0497 memory: 4652 grad_norm: 3.3381 loss: 4.0633 loss_cls: 2.6985 loss_bbox: 1.3648 +2024/10/30 10:40:15 - mmengine - INFO - Epoch(train) [89][2900/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:18:35 time: 0.4198 data_time: 0.0435 memory: 4652 grad_norm: 3.2548 loss: 3.9758 loss_cls: 2.6478 loss_bbox: 1.3280 +2024/10/30 10:40:37 - mmengine - INFO - Epoch(train) [89][2950/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:18:14 time: 0.4319 data_time: 0.0408 memory: 4652 grad_norm: 3.3286 loss: 4.0112 loss_cls: 2.6498 loss_bbox: 1.3614 +2024/10/30 10:40:58 - mmengine - INFO - Epoch(train) [89][3000/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:17:52 time: 0.4340 data_time: 0.0417 memory: 4652 grad_norm: 3.6099 loss: 4.0786 loss_cls: 2.7133 loss_bbox: 1.3653 +2024/10/30 10:41:20 - mmengine - INFO - Epoch(train) [89][3050/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 11:17:31 time: 0.4233 data_time: 0.0426 memory: 4652 grad_norm: 3.4765 loss: 4.0033 loss_cls: 2.6814 loss_bbox: 1.3219 +2024/10/30 10:41:21 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 10:41:21 - mmengine - INFO - Saving checkpoint at 89 epochs +2024/10/30 10:41:49 - mmengine - INFO - Epoch(train) [90][ 50/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:17:08 time: 0.4429 data_time: 0.0579 memory: 4652 grad_norm: 3.2754 loss: 4.0471 loss_cls: 2.7174 loss_bbox: 1.3297 +2024/10/30 10:42:11 - mmengine - INFO - Epoch(train) [90][ 100/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:16:46 time: 0.4384 data_time: 0.0437 memory: 4652 grad_norm: 3.0614 loss: 4.0526 loss_cls: 2.6834 loss_bbox: 1.3692 +2024/10/30 10:42:32 - mmengine - INFO - Epoch(train) [90][ 150/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:16:25 time: 0.4246 data_time: 0.0419 memory: 4652 grad_norm: 3.4806 loss: 3.9546 loss_cls: 2.6615 loss_bbox: 1.2931 +2024/10/30 10:42:51 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 10:42:53 - mmengine - INFO - Epoch(train) [90][ 200/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:16:03 time: 0.4229 data_time: 0.0480 memory: 4652 grad_norm: 3.2647 loss: 3.9608 loss_cls: 2.6576 loss_bbox: 1.3031 +2024/10/30 10:43:15 - mmengine - INFO - Epoch(train) [90][ 250/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:15:42 time: 0.4372 data_time: 0.0516 memory: 4652 grad_norm: 3.1617 loss: 3.9504 loss_cls: 2.6645 loss_bbox: 1.2859 +2024/10/30 10:43:36 - mmengine - INFO - Epoch(train) [90][ 300/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:15:20 time: 0.4245 data_time: 0.0439 memory: 4652 grad_norm: 3.2305 loss: 3.9988 loss_cls: 2.6457 loss_bbox: 1.3530 +2024/10/30 10:43:58 - mmengine - INFO - Epoch(train) [90][ 350/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:14:59 time: 0.4279 data_time: 0.0458 memory: 4652 grad_norm: 3.6556 loss: 4.0016 loss_cls: 2.6735 loss_bbox: 1.3280 +2024/10/30 10:44:20 - mmengine - INFO - Epoch(train) [90][ 400/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:14:37 time: 0.4350 data_time: 0.0474 memory: 4652 grad_norm: 3.4181 loss: 3.9782 loss_cls: 2.6340 loss_bbox: 1.3442 +2024/10/30 10:44:40 - mmengine - INFO - Epoch(train) [90][ 450/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:14:16 time: 0.4065 data_time: 0.0395 memory: 4652 grad_norm: 3.2790 loss: 3.8501 loss_cls: 2.5934 loss_bbox: 1.2568 +2024/10/30 10:45:02 - mmengine - INFO - Epoch(train) [90][ 500/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:13:54 time: 0.4330 data_time: 0.0464 memory: 4652 grad_norm: 3.2598 loss: 4.0525 loss_cls: 2.7058 loss_bbox: 1.3468 +2024/10/30 10:45:26 - mmengine - INFO - Epoch(train) [90][ 550/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:13:34 time: 0.4868 data_time: 0.1043 memory: 4652 grad_norm: 3.2543 loss: 4.0114 loss_cls: 2.6967 loss_bbox: 1.3148 +2024/10/30 10:45:47 - mmengine - INFO - Epoch(train) [90][ 600/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:13:12 time: 0.4226 data_time: 0.0445 memory: 4652 grad_norm: 3.1316 loss: 3.9229 loss_cls: 2.6286 loss_bbox: 1.2943 +2024/10/30 10:46:09 - mmengine - INFO - Epoch(train) [90][ 650/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:12:51 time: 0.4393 data_time: 0.0485 memory: 4652 grad_norm: 3.6350 loss: 3.9660 loss_cls: 2.6527 loss_bbox: 1.3133 +2024/10/30 10:46:30 - mmengine - INFO - Epoch(train) [90][ 700/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:12:29 time: 0.4238 data_time: 0.0444 memory: 4652 grad_norm: 3.2787 loss: 3.9918 loss_cls: 2.6788 loss_bbox: 1.3130 +2024/10/30 10:46:51 - mmengine - INFO - Epoch(train) [90][ 750/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:12:08 time: 0.4144 data_time: 0.0425 memory: 4652 grad_norm: 3.3549 loss: 3.9650 loss_cls: 2.6530 loss_bbox: 1.3120 +2024/10/30 10:47:12 - mmengine - INFO - Epoch(train) [90][ 800/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:11:46 time: 0.4275 data_time: 0.0393 memory: 4652 grad_norm: 3.3302 loss: 4.1223 loss_cls: 2.7452 loss_bbox: 1.3771 +2024/10/30 10:47:35 - mmengine - INFO - Epoch(train) [90][ 850/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:11:25 time: 0.4429 data_time: 0.0451 memory: 4652 grad_norm: 3.5012 loss: 3.8407 loss_cls: 2.5739 loss_bbox: 1.2668 +2024/10/30 10:47:55 - mmengine - INFO - Epoch(train) [90][ 900/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:11:03 time: 0.4179 data_time: 0.0391 memory: 4652 grad_norm: 3.3294 loss: 4.0068 loss_cls: 2.6687 loss_bbox: 1.3381 +2024/10/30 10:48:17 - mmengine - INFO - Epoch(train) [90][ 950/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:10:42 time: 0.4272 data_time: 0.0427 memory: 4652 grad_norm: 3.3854 loss: 4.0020 loss_cls: 2.6513 loss_bbox: 1.3507 +2024/10/30 10:48:38 - mmengine - INFO - Epoch(train) [90][1000/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:10:20 time: 0.4278 data_time: 0.0418 memory: 4652 grad_norm: 3.2067 loss: 4.0538 loss_cls: 2.6736 loss_bbox: 1.3802 +2024/10/30 10:48:59 - mmengine - INFO - Epoch(train) [90][1050/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:09:59 time: 0.4212 data_time: 0.0404 memory: 4652 grad_norm: 3.1825 loss: 3.9264 loss_cls: 2.6161 loss_bbox: 1.3102 +2024/10/30 10:49:21 - mmengine - INFO - Epoch(train) [90][1100/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:09:37 time: 0.4411 data_time: 0.0384 memory: 4652 grad_norm: 3.2979 loss: 4.0275 loss_cls: 2.6930 loss_bbox: 1.3346 +2024/10/30 10:49:43 - mmengine - INFO - Epoch(train) [90][1150/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:09:16 time: 0.4241 data_time: 0.0392 memory: 4652 grad_norm: 3.1621 loss: 4.0471 loss_cls: 2.6892 loss_bbox: 1.3579 +2024/10/30 10:50:01 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 10:50:04 - mmengine - INFO - Epoch(train) [90][1200/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:08:54 time: 0.4262 data_time: 0.0413 memory: 4652 grad_norm: 3.7712 loss: 3.8998 loss_cls: 2.6002 loss_bbox: 1.2996 +2024/10/30 10:50:27 - mmengine - INFO - Epoch(train) [90][1250/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:08:33 time: 0.4566 data_time: 0.0765 memory: 4652 grad_norm: 3.4100 loss: 3.9658 loss_cls: 2.6345 loss_bbox: 1.3313 +2024/10/30 10:50:48 - mmengine - INFO - Epoch(train) [90][1300/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:08:12 time: 0.4283 data_time: 0.0398 memory: 4652 grad_norm: 3.3936 loss: 4.1090 loss_cls: 2.7314 loss_bbox: 1.3777 +2024/10/30 10:51:10 - mmengine - INFO - Epoch(train) [90][1350/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:07:50 time: 0.4443 data_time: 0.0409 memory: 4652 grad_norm: 3.4905 loss: 3.9610 loss_cls: 2.6513 loss_bbox: 1.3097 +2024/10/30 10:51:32 - mmengine - INFO - Epoch(train) [90][1400/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:07:29 time: 0.4239 data_time: 0.0445 memory: 4652 grad_norm: 3.2461 loss: 3.9293 loss_cls: 2.6252 loss_bbox: 1.3041 +2024/10/30 10:51:53 - mmengine - INFO - Epoch(train) [90][1450/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:07:07 time: 0.4308 data_time: 0.0400 memory: 4652 grad_norm: 3.2657 loss: 4.0190 loss_cls: 2.6960 loss_bbox: 1.3231 +2024/10/30 10:52:15 - mmengine - INFO - Epoch(train) [90][1500/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:06:46 time: 0.4258 data_time: 0.0462 memory: 4652 grad_norm: 3.5003 loss: 3.9500 loss_cls: 2.6382 loss_bbox: 1.3118 +2024/10/30 10:52:36 - mmengine - INFO - Epoch(train) [90][1550/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:06:25 time: 0.4308 data_time: 0.0475 memory: 4652 grad_norm: 3.2918 loss: 3.9508 loss_cls: 2.6695 loss_bbox: 1.2812 +2024/10/30 10:52:57 - mmengine - INFO - Epoch(train) [90][1600/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:06:03 time: 0.4178 data_time: 0.0396 memory: 4652 grad_norm: 3.3526 loss: 3.9247 loss_cls: 2.6473 loss_bbox: 1.2774 +2024/10/30 10:53:18 - mmengine - INFO - Epoch(train) [90][1650/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:05:41 time: 0.4117 data_time: 0.0491 memory: 4652 grad_norm: 3.3585 loss: 4.0398 loss_cls: 2.6609 loss_bbox: 1.3790 +2024/10/30 10:53:39 - mmengine - INFO - Epoch(train) [90][1700/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:05:20 time: 0.4262 data_time: 0.0425 memory: 4652 grad_norm: 3.4522 loss: 3.9848 loss_cls: 2.6388 loss_bbox: 1.3460 +2024/10/30 10:54:00 - mmengine - INFO - Epoch(train) [90][1750/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:04:58 time: 0.4237 data_time: 0.0492 memory: 4652 grad_norm: 3.4785 loss: 3.9378 loss_cls: 2.6502 loss_bbox: 1.2876 +2024/10/30 10:54:21 - mmengine - INFO - Epoch(train) [90][1800/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:04:36 time: 0.4166 data_time: 0.0428 memory: 4652 grad_norm: 3.1773 loss: 3.9595 loss_cls: 2.6456 loss_bbox: 1.3139 +2024/10/30 10:54:43 - mmengine - INFO - Epoch(train) [90][1850/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:04:15 time: 0.4335 data_time: 0.0479 memory: 4652 grad_norm: 3.5836 loss: 4.0157 loss_cls: 2.6463 loss_bbox: 1.3694 +2024/10/30 10:55:03 - mmengine - INFO - Epoch(train) [90][1900/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:03:53 time: 0.4077 data_time: 0.0403 memory: 4652 grad_norm: 3.4789 loss: 3.9445 loss_cls: 2.6385 loss_bbox: 1.3059 +2024/10/30 10:55:26 - mmengine - INFO - Epoch(train) [90][1950/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:03:32 time: 0.4522 data_time: 0.0775 memory: 4652 grad_norm: 3.3016 loss: 3.9186 loss_cls: 2.6180 loss_bbox: 1.3005 +2024/10/30 10:55:47 - mmengine - INFO - Epoch(train) [90][2000/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:03:10 time: 0.4174 data_time: 0.0487 memory: 4652 grad_norm: 3.3773 loss: 4.0348 loss_cls: 2.6929 loss_bbox: 1.3418 +2024/10/30 10:56:08 - mmengine - INFO - Epoch(train) [90][2050/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:02:49 time: 0.4150 data_time: 0.0411 memory: 4652 grad_norm: 3.4829 loss: 3.9764 loss_cls: 2.6656 loss_bbox: 1.3108 +2024/10/30 10:56:29 - mmengine - INFO - Epoch(train) [90][2100/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:02:27 time: 0.4297 data_time: 0.0419 memory: 4652 grad_norm: 3.4270 loss: 4.0339 loss_cls: 2.6941 loss_bbox: 1.3398 +2024/10/30 10:56:50 - mmengine - INFO - Epoch(train) [90][2150/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:02:06 time: 0.4282 data_time: 0.0527 memory: 4652 grad_norm: 3.4986 loss: 4.0101 loss_cls: 2.6602 loss_bbox: 1.3499 +2024/10/30 10:57:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 10:57:11 - mmengine - INFO - Epoch(train) [90][2200/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:01:44 time: 0.4127 data_time: 0.0458 memory: 4652 grad_norm: 3.4494 loss: 3.9257 loss_cls: 2.6426 loss_bbox: 1.2831 +2024/10/30 10:57:32 - mmengine - INFO - Epoch(train) [90][2250/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:01:22 time: 0.4208 data_time: 0.0410 memory: 4652 grad_norm: 3.5434 loss: 3.9608 loss_cls: 2.6318 loss_bbox: 1.3290 +2024/10/30 10:57:53 - mmengine - INFO - Epoch(train) [90][2300/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:01:01 time: 0.4129 data_time: 0.0420 memory: 4652 grad_norm: 3.5758 loss: 3.8869 loss_cls: 2.6242 loss_bbox: 1.2627 +2024/10/30 10:58:14 - mmengine - INFO - Epoch(train) [90][2350/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:00:39 time: 0.4175 data_time: 0.0412 memory: 4652 grad_norm: 3.6063 loss: 3.9896 loss_cls: 2.6378 loss_bbox: 1.3518 +2024/10/30 10:58:35 - mmengine - INFO - Epoch(train) [90][2400/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 11:00:17 time: 0.4232 data_time: 0.0453 memory: 4652 grad_norm: 3.6101 loss: 4.0038 loss_cls: 2.6737 loss_bbox: 1.3301 +2024/10/30 10:58:56 - mmengine - INFO - Epoch(train) [90][2450/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 10:59:56 time: 0.4252 data_time: 0.0455 memory: 4652 grad_norm: 3.2859 loss: 3.9491 loss_cls: 2.6314 loss_bbox: 1.3177 +2024/10/30 10:59:17 - mmengine - INFO - Epoch(train) [90][2500/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 10:59:34 time: 0.4243 data_time: 0.0517 memory: 4652 grad_norm: 3.2821 loss: 3.9743 loss_cls: 2.6845 loss_bbox: 1.2898 +2024/10/30 10:59:38 - mmengine - INFO - Epoch(train) [90][2550/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 10:59:13 time: 0.4185 data_time: 0.0386 memory: 4652 grad_norm: 3.2529 loss: 4.0195 loss_cls: 2.6873 loss_bbox: 1.3322 +2024/10/30 10:59:59 - mmengine - INFO - Epoch(train) [90][2600/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 10:58:51 time: 0.4153 data_time: 0.0412 memory: 4652 grad_norm: 3.2862 loss: 3.9273 loss_cls: 2.6127 loss_bbox: 1.3146 +2024/10/30 11:00:21 - mmengine - INFO - Epoch(train) [90][2650/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 10:58:29 time: 0.4345 data_time: 0.0459 memory: 4652 grad_norm: 3.1947 loss: 3.9145 loss_cls: 2.6176 loss_bbox: 1.2969 +2024/10/30 11:00:42 - mmengine - INFO - Epoch(train) [90][2700/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 10:58:08 time: 0.4193 data_time: 0.0487 memory: 4652 grad_norm: 3.5346 loss: 3.9123 loss_cls: 2.6272 loss_bbox: 1.2851 +2024/10/30 11:01:03 - mmengine - INFO - Epoch(train) [90][2750/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 10:57:46 time: 0.4156 data_time: 0.0537 memory: 4652 grad_norm: 3.2821 loss: 3.9983 loss_cls: 2.6995 loss_bbox: 1.2988 +2024/10/30 11:01:26 - mmengine - INFO - Epoch(train) [90][2800/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 10:57:25 time: 0.4643 data_time: 0.0946 memory: 4652 grad_norm: 3.6497 loss: 4.0756 loss_cls: 2.6974 loss_bbox: 1.3782 +2024/10/30 11:01:47 - mmengine - INFO - Epoch(train) [90][2850/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 10:57:04 time: 0.4154 data_time: 0.0419 memory: 4652 grad_norm: 3.2854 loss: 4.0596 loss_cls: 2.6990 loss_bbox: 1.3606 +2024/10/30 11:02:08 - mmengine - INFO - Epoch(train) [90][2900/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 10:56:42 time: 0.4175 data_time: 0.0448 memory: 4652 grad_norm: 3.5354 loss: 4.0234 loss_cls: 2.6768 loss_bbox: 1.3467 +2024/10/30 11:02:28 - mmengine - INFO - Epoch(train) [90][2950/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 10:56:20 time: 0.4167 data_time: 0.0408 memory: 4652 grad_norm: 3.3373 loss: 3.9749 loss_cls: 2.6517 loss_bbox: 1.3231 +2024/10/30 11:02:49 - mmengine - INFO - Epoch(train) [90][3000/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 10:55:58 time: 0.4176 data_time: 0.0396 memory: 4652 grad_norm: 3.3248 loss: 3.9839 loss_cls: 2.6355 loss_bbox: 1.3484 +2024/10/30 11:03:10 - mmengine - INFO - Epoch(train) [90][3050/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 10:55:37 time: 0.4167 data_time: 0.0405 memory: 4652 grad_norm: 3.2492 loss: 3.9922 loss_cls: 2.6466 loss_bbox: 1.3456 +2024/10/30 11:03:12 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 11:03:12 - mmengine - INFO - Saving checkpoint at 90 epochs +2024/10/30 11:03:21 - mmengine - INFO - Epoch(val) [90][50/79] eta: 0:00:02 time: 0.0741 data_time: 0.0078 memory: 4652 +2024/10/30 11:03:40 - mmengine - INFO - Evaluating bbox... +2024/10/30 11:04:56 - mmengine - INFO - bbox_mAP_copypaste: 0.237 0.403 0.244 0.060 0.281 0.380 +2024/10/30 11:04:57 - mmengine - INFO - Epoch(val) [90][79/79] coco/bbox_mAP: 0.2370 coco/bbox_mAP_50: 0.4030 coco/bbox_mAP_75: 0.2440 coco/bbox_mAP_s: 0.0600 coco/bbox_mAP_m: 0.2810 coco/bbox_mAP_l: 0.3800 data_time: 0.0072 time: 0.0720 +2024/10/30 11:05:20 - mmengine - INFO - Epoch(train) [91][ 50/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:55:14 time: 0.4417 data_time: 0.0637 memory: 4652 grad_norm: 3.2554 loss: 3.9088 loss_cls: 2.6344 loss_bbox: 1.2744 +2024/10/30 11:05:41 - mmengine - INFO - Epoch(train) [91][ 100/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:54:52 time: 0.4171 data_time: 0.0403 memory: 4652 grad_norm: 3.1343 loss: 4.0398 loss_cls: 2.7125 loss_bbox: 1.3273 +2024/10/30 11:05:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 11:06:03 - mmengine - INFO - Epoch(train) [91][ 150/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:54:31 time: 0.4460 data_time: 0.0462 memory: 4652 grad_norm: 3.2252 loss: 3.9057 loss_cls: 2.6231 loss_bbox: 1.2826 +2024/10/30 11:06:26 - mmengine - INFO - Epoch(train) [91][ 200/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:54:10 time: 0.4677 data_time: 0.0791 memory: 4652 grad_norm: 3.5634 loss: 4.0040 loss_cls: 2.6450 loss_bbox: 1.3590 +2024/10/30 11:06:48 - mmengine - INFO - Epoch(train) [91][ 250/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:53:49 time: 0.4249 data_time: 0.0462 memory: 4652 grad_norm: 3.2539 loss: 3.9950 loss_cls: 2.6536 loss_bbox: 1.3414 +2024/10/30 11:07:08 - mmengine - INFO - Epoch(train) [91][ 300/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:53:27 time: 0.4145 data_time: 0.0385 memory: 4652 grad_norm: 3.5760 loss: 3.9556 loss_cls: 2.6647 loss_bbox: 1.2908 +2024/10/30 11:07:30 - mmengine - INFO - Epoch(train) [91][ 350/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:53:06 time: 0.4405 data_time: 0.0447 memory: 4652 grad_norm: 3.4512 loss: 3.9545 loss_cls: 2.6468 loss_bbox: 1.3076 +2024/10/30 11:07:52 - mmengine - INFO - Epoch(train) [91][ 400/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:52:44 time: 0.4228 data_time: 0.0393 memory: 4652 grad_norm: 3.2457 loss: 3.9962 loss_cls: 2.6557 loss_bbox: 1.3406 +2024/10/30 11:08:13 - mmengine - INFO - Epoch(train) [91][ 450/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:52:22 time: 0.4243 data_time: 0.0393 memory: 4652 grad_norm: 3.4756 loss: 3.9751 loss_cls: 2.6498 loss_bbox: 1.3253 +2024/10/30 11:08:34 - mmengine - INFO - Epoch(train) [91][ 500/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:52:01 time: 0.4266 data_time: 0.0445 memory: 4652 grad_norm: 3.4177 loss: 3.9941 loss_cls: 2.6445 loss_bbox: 1.3495 +2024/10/30 11:08:55 - mmengine - INFO - Epoch(train) [91][ 550/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:51:39 time: 0.4154 data_time: 0.0387 memory: 4652 grad_norm: 3.2013 loss: 3.9813 loss_cls: 2.6595 loss_bbox: 1.3218 +2024/10/30 11:09:17 - mmengine - INFO - Epoch(train) [91][ 600/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:51:18 time: 0.4387 data_time: 0.0388 memory: 4652 grad_norm: 3.4269 loss: 3.9435 loss_cls: 2.6349 loss_bbox: 1.3086 +2024/10/30 11:09:38 - mmengine - INFO - Epoch(train) [91][ 650/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:50:56 time: 0.4311 data_time: 0.0441 memory: 4652 grad_norm: 3.4394 loss: 4.0038 loss_cls: 2.6465 loss_bbox: 1.3573 +2024/10/30 11:10:00 - mmengine - INFO - Epoch(train) [91][ 700/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:50:35 time: 0.4232 data_time: 0.0386 memory: 4652 grad_norm: 3.3771 loss: 4.0618 loss_cls: 2.6806 loss_bbox: 1.3811 +2024/10/30 11:10:22 - mmengine - INFO - Epoch(train) [91][ 750/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:50:14 time: 0.4380 data_time: 0.0383 memory: 4652 grad_norm: 3.4064 loss: 3.8840 loss_cls: 2.5844 loss_bbox: 1.2995 +2024/10/30 11:10:42 - mmengine - INFO - Epoch(train) [91][ 800/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:49:52 time: 0.4115 data_time: 0.0380 memory: 4652 grad_norm: 3.5442 loss: 4.0289 loss_cls: 2.6918 loss_bbox: 1.3371 +2024/10/30 11:11:05 - mmengine - INFO - Epoch(train) [91][ 850/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:49:31 time: 0.4554 data_time: 0.0439 memory: 4652 grad_norm: 3.4814 loss: 4.0130 loss_cls: 2.6611 loss_bbox: 1.3520 +2024/10/30 11:11:26 - mmengine - INFO - Epoch(train) [91][ 900/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:49:09 time: 0.4280 data_time: 0.0453 memory: 4652 grad_norm: 3.4061 loss: 3.9570 loss_cls: 2.6044 loss_bbox: 1.3526 +2024/10/30 11:11:49 - mmengine - INFO - Epoch(train) [91][ 950/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:48:48 time: 0.4457 data_time: 0.0436 memory: 4652 grad_norm: 3.5067 loss: 3.9943 loss_cls: 2.6707 loss_bbox: 1.3235 +2024/10/30 11:12:10 - mmengine - INFO - Epoch(train) [91][1000/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:48:27 time: 0.4326 data_time: 0.0384 memory: 4652 grad_norm: 3.0933 loss: 4.0046 loss_cls: 2.6513 loss_bbox: 1.3533 +2024/10/30 11:12:31 - mmengine - INFO - Epoch(train) [91][1050/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:48:05 time: 0.4222 data_time: 0.0394 memory: 4652 grad_norm: 3.6150 loss: 3.9025 loss_cls: 2.6275 loss_bbox: 1.2750 +2024/10/30 11:12:54 - mmengine - INFO - Epoch(train) [91][1100/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:47:44 time: 0.4491 data_time: 0.0481 memory: 4652 grad_norm: 3.4701 loss: 3.8884 loss_cls: 2.5938 loss_bbox: 1.2946 +2024/10/30 11:13:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 11:13:15 - mmengine - INFO - Epoch(train) [91][1150/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:47:22 time: 0.4221 data_time: 0.0390 memory: 4652 grad_norm: 3.4259 loss: 3.9529 loss_cls: 2.6198 loss_bbox: 1.3331 +2024/10/30 11:13:37 - mmengine - INFO - Epoch(train) [91][1200/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:47:01 time: 0.4370 data_time: 0.0386 memory: 4652 grad_norm: 3.3103 loss: 3.9511 loss_cls: 2.6355 loss_bbox: 1.3155 +2024/10/30 11:13:59 - mmengine - INFO - Epoch(train) [91][1250/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:46:40 time: 0.4335 data_time: 0.0433 memory: 4652 grad_norm: 3.2375 loss: 3.9019 loss_cls: 2.6217 loss_bbox: 1.2802 +2024/10/30 11:14:20 - mmengine - INFO - Epoch(train) [91][1300/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:46:18 time: 0.4285 data_time: 0.0419 memory: 4652 grad_norm: 3.1913 loss: 3.9419 loss_cls: 2.6095 loss_bbox: 1.3324 +2024/10/30 11:14:43 - mmengine - INFO - Epoch(train) [91][1350/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:45:57 time: 0.4550 data_time: 0.0442 memory: 4652 grad_norm: 3.4006 loss: 3.9056 loss_cls: 2.6187 loss_bbox: 1.2870 +2024/10/30 11:15:04 - mmengine - INFO - Epoch(train) [91][1400/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:45:36 time: 0.4279 data_time: 0.0386 memory: 4652 grad_norm: 3.4396 loss: 3.9932 loss_cls: 2.6565 loss_bbox: 1.3367 +2024/10/30 11:15:28 - mmengine - INFO - Epoch(train) [91][1450/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:45:15 time: 0.4684 data_time: 0.0541 memory: 4652 grad_norm: 3.3220 loss: 3.8627 loss_cls: 2.5747 loss_bbox: 1.2880 +2024/10/30 11:15:50 - mmengine - INFO - Epoch(train) [91][1500/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:44:53 time: 0.4371 data_time: 0.0446 memory: 4652 grad_norm: 3.4964 loss: 3.9040 loss_cls: 2.5939 loss_bbox: 1.3101 +2024/10/30 11:16:11 - mmengine - INFO - Epoch(train) [91][1550/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:44:32 time: 0.4319 data_time: 0.0433 memory: 4652 grad_norm: 3.5221 loss: 3.9438 loss_cls: 2.6463 loss_bbox: 1.2975 +2024/10/30 11:16:34 - mmengine - INFO - Epoch(train) [91][1600/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:44:11 time: 0.4485 data_time: 0.0439 memory: 4652 grad_norm: 3.3705 loss: 3.9087 loss_cls: 2.5772 loss_bbox: 1.3315 +2024/10/30 11:16:55 - mmengine - INFO - Epoch(train) [91][1650/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:43:49 time: 0.4257 data_time: 0.0383 memory: 4652 grad_norm: 3.5558 loss: 3.9805 loss_cls: 2.6544 loss_bbox: 1.3261 +2024/10/30 11:17:17 - mmengine - INFO - Epoch(train) [91][1700/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:43:28 time: 0.4436 data_time: 0.0437 memory: 4652 grad_norm: 3.3667 loss: 4.0807 loss_cls: 2.6913 loss_bbox: 1.3894 +2024/10/30 11:17:39 - mmengine - INFO - Epoch(train) [91][1750/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:43:07 time: 0.4344 data_time: 0.0428 memory: 4652 grad_norm: 3.2222 loss: 3.9201 loss_cls: 2.6288 loss_bbox: 1.2913 +2024/10/30 11:18:00 - mmengine - INFO - Epoch(train) [91][1800/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:42:45 time: 0.4257 data_time: 0.0372 memory: 4652 grad_norm: 3.5152 loss: 3.9326 loss_cls: 2.6151 loss_bbox: 1.3174 +2024/10/30 11:18:23 - mmengine - INFO - Epoch(train) [91][1850/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:42:24 time: 0.4530 data_time: 0.0430 memory: 4652 grad_norm: 3.3456 loss: 3.8811 loss_cls: 2.5802 loss_bbox: 1.3009 +2024/10/30 11:18:44 - mmengine - INFO - Epoch(train) [91][1900/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:42:03 time: 0.4304 data_time: 0.0378 memory: 4652 grad_norm: 3.5570 loss: 4.0242 loss_cls: 2.6561 loss_bbox: 1.3681 +2024/10/30 11:19:06 - mmengine - INFO - Epoch(train) [91][1950/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:41:41 time: 0.4339 data_time: 0.0397 memory: 4652 grad_norm: 3.5764 loss: 4.0299 loss_cls: 2.6598 loss_bbox: 1.3701 +2024/10/30 11:19:28 - mmengine - INFO - Epoch(train) [91][2000/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:41:20 time: 0.4427 data_time: 0.0553 memory: 4652 grad_norm: 3.5842 loss: 3.9448 loss_cls: 2.6510 loss_bbox: 1.2938 +2024/10/30 11:19:49 - mmengine - INFO - Epoch(train) [91][2050/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:40:58 time: 0.4190 data_time: 0.0406 memory: 4652 grad_norm: 3.4583 loss: 3.8834 loss_cls: 2.6287 loss_bbox: 1.2547 +2024/10/30 11:20:11 - mmengine - INFO - Epoch(train) [91][2100/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:40:37 time: 0.4357 data_time: 0.0463 memory: 4652 grad_norm: 3.2769 loss: 4.0324 loss_cls: 2.6945 loss_bbox: 1.3380 +2024/10/30 11:20:28 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 11:20:32 - mmengine - INFO - Epoch(train) [91][2150/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:40:15 time: 0.4213 data_time: 0.0446 memory: 4652 grad_norm: 3.2367 loss: 4.0002 loss_cls: 2.6833 loss_bbox: 1.3169 +2024/10/30 11:20:54 - mmengine - INFO - Epoch(train) [91][2200/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:39:54 time: 0.4380 data_time: 0.0508 memory: 4652 grad_norm: 3.4113 loss: 3.9902 loss_cls: 2.6661 loss_bbox: 1.3241 +2024/10/30 11:21:15 - mmengine - INFO - Epoch(train) [91][2250/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:39:33 time: 0.4268 data_time: 0.0387 memory: 4652 grad_norm: 3.3893 loss: 3.9158 loss_cls: 2.6300 loss_bbox: 1.2858 +2024/10/30 11:21:37 - mmengine - INFO - Epoch(train) [91][2300/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:39:11 time: 0.4240 data_time: 0.0378 memory: 4652 grad_norm: 3.6086 loss: 4.0133 loss_cls: 2.6576 loss_bbox: 1.3557 +2024/10/30 11:21:58 - mmengine - INFO - Epoch(train) [91][2350/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:38:50 time: 0.4336 data_time: 0.0423 memory: 4652 grad_norm: 3.6253 loss: 4.0306 loss_cls: 2.6851 loss_bbox: 1.3455 +2024/10/30 11:22:19 - mmengine - INFO - Epoch(train) [91][2400/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:38:28 time: 0.4143 data_time: 0.0390 memory: 4652 grad_norm: 3.1472 loss: 3.8866 loss_cls: 2.6134 loss_bbox: 1.2732 +2024/10/30 11:22:42 - mmengine - INFO - Epoch(train) [91][2450/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:38:07 time: 0.4516 data_time: 0.0556 memory: 4652 grad_norm: 3.4559 loss: 4.0187 loss_cls: 2.7012 loss_bbox: 1.3175 +2024/10/30 11:23:03 - mmengine - INFO - Epoch(train) [91][2500/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:37:45 time: 0.4259 data_time: 0.0396 memory: 4652 grad_norm: 3.5495 loss: 3.8933 loss_cls: 2.5962 loss_bbox: 1.2971 +2024/10/30 11:23:26 - mmengine - INFO - Epoch(train) [91][2550/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:37:24 time: 0.4543 data_time: 0.0664 memory: 4652 grad_norm: 3.4017 loss: 3.9375 loss_cls: 2.6262 loss_bbox: 1.3113 +2024/10/30 11:23:47 - mmengine - INFO - Epoch(train) [91][2600/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:37:03 time: 0.4214 data_time: 0.0393 memory: 4652 grad_norm: 3.5020 loss: 3.8917 loss_cls: 2.6409 loss_bbox: 1.2508 +2024/10/30 11:24:08 - mmengine - INFO - Epoch(train) [91][2650/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:36:41 time: 0.4279 data_time: 0.0389 memory: 4652 grad_norm: 3.2343 loss: 3.8771 loss_cls: 2.6016 loss_bbox: 1.2754 +2024/10/30 11:24:30 - mmengine - INFO - Epoch(train) [91][2700/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:36:20 time: 0.4266 data_time: 0.0382 memory: 4652 grad_norm: 3.6617 loss: 4.0452 loss_cls: 2.7387 loss_bbox: 1.3065 +2024/10/30 11:24:51 - mmengine - INFO - Epoch(train) [91][2750/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:35:58 time: 0.4286 data_time: 0.0430 memory: 4652 grad_norm: 3.4005 loss: 3.9133 loss_cls: 2.6088 loss_bbox: 1.3044 +2024/10/30 11:25:13 - mmengine - INFO - Epoch(train) [91][2800/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:35:37 time: 0.4328 data_time: 0.0468 memory: 4652 grad_norm: 3.6740 loss: 3.9480 loss_cls: 2.6341 loss_bbox: 1.3138 +2024/10/30 11:25:35 - mmengine - INFO - Epoch(train) [91][2850/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:35:15 time: 0.4354 data_time: 0.0405 memory: 4652 grad_norm: 3.2724 loss: 4.0034 loss_cls: 2.6873 loss_bbox: 1.3161 +2024/10/30 11:25:56 - mmengine - INFO - Epoch(train) [91][2900/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:34:54 time: 0.4275 data_time: 0.0429 memory: 4652 grad_norm: 3.5220 loss: 4.0765 loss_cls: 2.7026 loss_bbox: 1.3740 +2024/10/30 11:26:17 - mmengine - INFO - Epoch(train) [91][2950/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:34:32 time: 0.4239 data_time: 0.0396 memory: 4652 grad_norm: 3.3124 loss: 3.9356 loss_cls: 2.6231 loss_bbox: 1.3125 +2024/10/30 11:26:38 - mmengine - INFO - Epoch(train) [91][3000/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:34:11 time: 0.4238 data_time: 0.0390 memory: 4652 grad_norm: 3.4500 loss: 4.0327 loss_cls: 2.6819 loss_bbox: 1.3508 +2024/10/30 11:27:00 - mmengine - INFO - Epoch(train) [91][3050/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 10:33:49 time: 0.4312 data_time: 0.0382 memory: 4652 grad_norm: 3.2122 loss: 3.9291 loss_cls: 2.6109 loss_bbox: 1.3183 +2024/10/30 11:27:01 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 11:27:01 - mmengine - INFO - Saving checkpoint at 91 epochs +2024/10/30 11:27:30 - mmengine - INFO - Epoch(train) [92][ 50/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:33:26 time: 0.4251 data_time: 0.0599 memory: 4652 grad_norm: 3.8191 loss: 3.8580 loss_cls: 2.5852 loss_bbox: 1.2729 +2024/10/30 11:27:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 11:27:51 - mmengine - INFO - Epoch(train) [92][ 100/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:33:04 time: 0.4178 data_time: 0.0394 memory: 4652 grad_norm: 3.2447 loss: 3.9477 loss_cls: 2.6204 loss_bbox: 1.3273 +2024/10/30 11:28:11 - mmengine - INFO - Epoch(train) [92][ 150/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:32:43 time: 0.4125 data_time: 0.0392 memory: 4652 grad_norm: 3.3025 loss: 3.9159 loss_cls: 2.6457 loss_bbox: 1.2701 +2024/10/30 11:28:32 - mmengine - INFO - Epoch(train) [92][ 200/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:32:21 time: 0.4183 data_time: 0.0395 memory: 4652 grad_norm: 3.2201 loss: 3.9899 loss_cls: 2.6632 loss_bbox: 1.3267 +2024/10/30 11:28:53 - mmengine - INFO - Epoch(train) [92][ 250/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:31:59 time: 0.4155 data_time: 0.0387 memory: 4652 grad_norm: 3.4457 loss: 3.9632 loss_cls: 2.6368 loss_bbox: 1.3265 +2024/10/30 11:29:14 - mmengine - INFO - Epoch(train) [92][ 300/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:31:38 time: 0.4191 data_time: 0.0381 memory: 4652 grad_norm: 3.2748 loss: 3.9616 loss_cls: 2.6640 loss_bbox: 1.2976 +2024/10/30 11:29:35 - mmengine - INFO - Epoch(train) [92][ 350/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:31:16 time: 0.4254 data_time: 0.0454 memory: 4652 grad_norm: 3.5527 loss: 3.8716 loss_cls: 2.5766 loss_bbox: 1.2950 +2024/10/30 11:29:55 - mmengine - INFO - Epoch(train) [92][ 400/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:30:54 time: 0.4011 data_time: 0.0382 memory: 4652 grad_norm: 3.3540 loss: 3.9208 loss_cls: 2.6164 loss_bbox: 1.3044 +2024/10/30 11:30:16 - mmengine - INFO - Epoch(train) [92][ 450/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:30:33 time: 0.4207 data_time: 0.0395 memory: 4652 grad_norm: 3.2851 loss: 3.9555 loss_cls: 2.6114 loss_bbox: 1.3441 +2024/10/30 11:30:37 - mmengine - INFO - Epoch(train) [92][ 500/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:30:11 time: 0.4103 data_time: 0.0516 memory: 4652 grad_norm: 3.3458 loss: 3.8693 loss_cls: 2.5801 loss_bbox: 1.2892 +2024/10/30 11:30:58 - mmengine - INFO - Epoch(train) [92][ 550/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:29:49 time: 0.4218 data_time: 0.0407 memory: 4652 grad_norm: 3.3636 loss: 3.9755 loss_cls: 2.6778 loss_bbox: 1.2977 +2024/10/30 11:31:20 - mmengine - INFO - Epoch(train) [92][ 600/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:29:28 time: 0.4303 data_time: 0.0645 memory: 4652 grad_norm: 3.6701 loss: 3.8983 loss_cls: 2.5974 loss_bbox: 1.3009 +2024/10/30 11:31:40 - mmengine - INFO - Epoch(train) [92][ 650/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:29:06 time: 0.4099 data_time: 0.0477 memory: 4652 grad_norm: 3.5674 loss: 3.8998 loss_cls: 2.6005 loss_bbox: 1.2992 +2024/10/30 11:32:01 - mmengine - INFO - Epoch(train) [92][ 700/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:28:44 time: 0.4189 data_time: 0.0401 memory: 4652 grad_norm: 3.5970 loss: 3.9643 loss_cls: 2.6095 loss_bbox: 1.3549 +2024/10/30 11:32:22 - mmengine - INFO - Epoch(train) [92][ 750/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:28:23 time: 0.4101 data_time: 0.0397 memory: 4652 grad_norm: 3.7373 loss: 3.9487 loss_cls: 2.6191 loss_bbox: 1.3296 +2024/10/30 11:32:43 - mmengine - INFO - Epoch(train) [92][ 800/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:28:01 time: 0.4254 data_time: 0.0400 memory: 4652 grad_norm: 3.5922 loss: 3.9392 loss_cls: 2.6351 loss_bbox: 1.3042 +2024/10/30 11:33:04 - mmengine - INFO - Epoch(train) [92][ 850/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:27:39 time: 0.4148 data_time: 0.0388 memory: 4652 grad_norm: 3.3610 loss: 3.9746 loss_cls: 2.6307 loss_bbox: 1.3439 +2024/10/30 11:33:26 - mmengine - INFO - Epoch(train) [92][ 900/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:27:18 time: 0.4338 data_time: 0.0675 memory: 4652 grad_norm: 3.5031 loss: 3.8442 loss_cls: 2.5863 loss_bbox: 1.2579 +2024/10/30 11:33:48 - mmengine - INFO - Epoch(train) [92][ 950/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:26:57 time: 0.4423 data_time: 0.0580 memory: 4652 grad_norm: 3.7880 loss: 3.9356 loss_cls: 2.6283 loss_bbox: 1.3073 +2024/10/30 11:34:09 - mmengine - INFO - Epoch(train) [92][1000/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:26:35 time: 0.4160 data_time: 0.0485 memory: 4652 grad_norm: 3.3749 loss: 3.9153 loss_cls: 2.6178 loss_bbox: 1.2975 +2024/10/30 11:34:29 - mmengine - INFO - Epoch(train) [92][1050/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:26:13 time: 0.4161 data_time: 0.0394 memory: 4652 grad_norm: 3.7625 loss: 3.8651 loss_cls: 2.5906 loss_bbox: 1.2745 +2024/10/30 11:34:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 11:34:51 - mmengine - INFO - Epoch(train) [92][1100/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:25:52 time: 0.4241 data_time: 0.0471 memory: 4652 grad_norm: 3.6198 loss: 3.9923 loss_cls: 2.6624 loss_bbox: 1.3299 +2024/10/30 11:35:11 - mmengine - INFO - Epoch(train) [92][1150/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:25:30 time: 0.4119 data_time: 0.0411 memory: 4652 grad_norm: 3.2027 loss: 3.9734 loss_cls: 2.6526 loss_bbox: 1.3209 +2024/10/30 11:35:33 - mmengine - INFO - Epoch(train) [92][1200/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:25:09 time: 0.4447 data_time: 0.0475 memory: 4652 grad_norm: 3.5406 loss: 3.8734 loss_cls: 2.6069 loss_bbox: 1.2666 +2024/10/30 11:35:54 - mmengine - INFO - Epoch(train) [92][1250/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:24:47 time: 0.4164 data_time: 0.0450 memory: 4652 grad_norm: 3.4350 loss: 3.8362 loss_cls: 2.5555 loss_bbox: 1.2807 +2024/10/30 11:36:15 - mmengine - INFO - Epoch(train) [92][1300/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:24:25 time: 0.4167 data_time: 0.0433 memory: 4652 grad_norm: 3.3122 loss: 3.9531 loss_cls: 2.6542 loss_bbox: 1.2989 +2024/10/30 11:36:37 - mmengine - INFO - Epoch(train) [92][1350/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:24:04 time: 0.4309 data_time: 0.0413 memory: 4652 grad_norm: 3.4288 loss: 3.9368 loss_cls: 2.6445 loss_bbox: 1.2923 +2024/10/30 11:36:57 - mmengine - INFO - Epoch(train) [92][1400/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:23:42 time: 0.4117 data_time: 0.0476 memory: 4652 grad_norm: 3.6792 loss: 3.9811 loss_cls: 2.6387 loss_bbox: 1.3424 +2024/10/30 11:37:20 - mmengine - INFO - Epoch(train) [92][1450/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:23:21 time: 0.4445 data_time: 0.0507 memory: 4652 grad_norm: 3.5285 loss: 3.9980 loss_cls: 2.6265 loss_bbox: 1.3715 +2024/10/30 11:37:40 - mmengine - INFO - Epoch(train) [92][1500/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:22:59 time: 0.4130 data_time: 0.0397 memory: 4652 grad_norm: 3.2870 loss: 3.9622 loss_cls: 2.6500 loss_bbox: 1.3121 +2024/10/30 11:38:02 - mmengine - INFO - Epoch(train) [92][1550/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:22:38 time: 0.4235 data_time: 0.0484 memory: 4652 grad_norm: 3.4039 loss: 3.9539 loss_cls: 2.6449 loss_bbox: 1.3091 +2024/10/30 11:38:31 - mmengine - INFO - Epoch(train) [92][1600/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:22:19 time: 0.5899 data_time: 0.1064 memory: 4652 grad_norm: 3.7171 loss: 3.9884 loss_cls: 2.6242 loss_bbox: 1.3642 +2024/10/30 11:38:51 - mmengine - INFO - Epoch(train) [92][1650/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:21:57 time: 0.4020 data_time: 0.0379 memory: 4652 grad_norm: 3.3493 loss: 4.0434 loss_cls: 2.6873 loss_bbox: 1.3562 +2024/10/30 11:39:14 - mmengine - INFO - Epoch(train) [92][1700/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:21:36 time: 0.4468 data_time: 0.0527 memory: 4652 grad_norm: 3.4791 loss: 3.9241 loss_cls: 2.6232 loss_bbox: 1.3009 +2024/10/30 11:39:34 - mmengine - INFO - Epoch(train) [92][1750/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:21:14 time: 0.4099 data_time: 0.0389 memory: 4652 grad_norm: 3.5481 loss: 3.8542 loss_cls: 2.6170 loss_bbox: 1.2372 +2024/10/30 11:39:56 - mmengine - INFO - Epoch(train) [92][1800/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:20:53 time: 0.4326 data_time: 0.0507 memory: 4652 grad_norm: 3.2378 loss: 3.9689 loss_cls: 2.6590 loss_bbox: 1.3099 +2024/10/30 11:40:17 - mmengine - INFO - Epoch(train) [92][1850/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:20:31 time: 0.4337 data_time: 0.0440 memory: 4652 grad_norm: 3.5531 loss: 3.9172 loss_cls: 2.5955 loss_bbox: 1.3216 +2024/10/30 11:40:38 - mmengine - INFO - Epoch(train) [92][1900/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:20:09 time: 0.4094 data_time: 0.0488 memory: 4652 grad_norm: 3.8122 loss: 3.8589 loss_cls: 2.5947 loss_bbox: 1.2642 +2024/10/30 11:41:00 - mmengine - INFO - Epoch(train) [92][1950/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:19:48 time: 0.4431 data_time: 0.0495 memory: 4652 grad_norm: 3.1692 loss: 3.8299 loss_cls: 2.5627 loss_bbox: 1.2672 +2024/10/30 11:41:21 - mmengine - INFO - Epoch(train) [92][2000/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:19:27 time: 0.4202 data_time: 0.0502 memory: 4652 grad_norm: 3.5853 loss: 3.9377 loss_cls: 2.6118 loss_bbox: 1.3259 +2024/10/30 11:41:43 - mmengine - INFO - Epoch(train) [92][2050/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:19:05 time: 0.4297 data_time: 0.0419 memory: 4652 grad_norm: 3.4415 loss: 3.9414 loss_cls: 2.6155 loss_bbox: 1.3259 +2024/10/30 11:41:58 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 11:42:04 - mmengine - INFO - Epoch(train) [92][2100/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:18:44 time: 0.4306 data_time: 0.0398 memory: 4652 grad_norm: 3.3393 loss: 3.9950 loss_cls: 2.6505 loss_bbox: 1.3446 +2024/10/30 11:42:25 - mmengine - INFO - Epoch(train) [92][2150/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:18:22 time: 0.4110 data_time: 0.0510 memory: 4652 grad_norm: 3.3442 loss: 3.9017 loss_cls: 2.5816 loss_bbox: 1.3201 +2024/10/30 11:42:47 - mmengine - INFO - Epoch(train) [92][2200/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:18:00 time: 0.4341 data_time: 0.0473 memory: 4652 grad_norm: 3.4026 loss: 3.9312 loss_cls: 2.6101 loss_bbox: 1.3211 +2024/10/30 11:43:07 - mmengine - INFO - Epoch(train) [92][2250/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:17:39 time: 0.4075 data_time: 0.0395 memory: 4652 grad_norm: 3.7713 loss: 3.9799 loss_cls: 2.6383 loss_bbox: 1.3416 +2024/10/30 11:43:29 - mmengine - INFO - Epoch(train) [92][2300/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:17:17 time: 0.4316 data_time: 0.0445 memory: 4652 grad_norm: 3.2453 loss: 3.9140 loss_cls: 2.6346 loss_bbox: 1.2794 +2024/10/30 11:43:50 - mmengine - INFO - Epoch(train) [92][2350/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:16:56 time: 0.4266 data_time: 0.0444 memory: 4652 grad_norm: 3.8517 loss: 3.8926 loss_cls: 2.6074 loss_bbox: 1.2852 +2024/10/30 11:44:10 - mmengine - INFO - Epoch(train) [92][2400/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:16:34 time: 0.4060 data_time: 0.0395 memory: 4652 grad_norm: 3.4235 loss: 3.8801 loss_cls: 2.6026 loss_bbox: 1.2775 +2024/10/30 11:44:33 - mmengine - INFO - Epoch(train) [92][2450/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:16:13 time: 0.4610 data_time: 0.0539 memory: 4652 grad_norm: 3.5659 loss: 3.9049 loss_cls: 2.6191 loss_bbox: 1.2858 +2024/10/30 11:44:54 - mmengine - INFO - Epoch(train) [92][2500/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:15:51 time: 0.4176 data_time: 0.0398 memory: 4652 grad_norm: 3.6996 loss: 4.0510 loss_cls: 2.6902 loss_bbox: 1.3608 +2024/10/30 11:45:17 - mmengine - INFO - Epoch(train) [92][2550/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:15:30 time: 0.4424 data_time: 0.0392 memory: 4652 grad_norm: 3.4484 loss: 3.9430 loss_cls: 2.6252 loss_bbox: 1.3178 +2024/10/30 11:45:38 - mmengine - INFO - Epoch(train) [92][2600/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:15:08 time: 0.4264 data_time: 0.0389 memory: 4652 grad_norm: 3.2297 loss: 3.9614 loss_cls: 2.6367 loss_bbox: 1.3248 +2024/10/30 11:45:59 - mmengine - INFO - Epoch(train) [92][2650/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:14:47 time: 0.4184 data_time: 0.0412 memory: 4652 grad_norm: 3.8435 loss: 3.8449 loss_cls: 2.5517 loss_bbox: 1.2932 +2024/10/30 11:46:21 - mmengine - INFO - Epoch(train) [92][2700/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:14:25 time: 0.4359 data_time: 0.0404 memory: 4652 grad_norm: 3.4877 loss: 3.8756 loss_cls: 2.6066 loss_bbox: 1.2689 +2024/10/30 11:46:42 - mmengine - INFO - Epoch(train) [92][2750/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:14:04 time: 0.4194 data_time: 0.0455 memory: 4652 grad_norm: 3.3300 loss: 3.9767 loss_cls: 2.6786 loss_bbox: 1.2981 +2024/10/30 11:47:04 - mmengine - INFO - Epoch(train) [92][2800/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:13:43 time: 0.4528 data_time: 0.0421 memory: 4652 grad_norm: 3.2313 loss: 3.9297 loss_cls: 2.6241 loss_bbox: 1.3056 +2024/10/30 11:47:29 - mmengine - INFO - Epoch(train) [92][2850/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:13:22 time: 0.4883 data_time: 0.1095 memory: 4652 grad_norm: 3.5318 loss: 3.9669 loss_cls: 2.6332 loss_bbox: 1.3337 +2024/10/30 11:47:49 - mmengine - INFO - Epoch(train) [92][2900/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:13:00 time: 0.4128 data_time: 0.0401 memory: 4652 grad_norm: 3.3675 loss: 3.8524 loss_cls: 2.6169 loss_bbox: 1.2355 +2024/10/30 11:48:11 - mmengine - INFO - Epoch(train) [92][2950/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:12:39 time: 0.4308 data_time: 0.0498 memory: 4652 grad_norm: 3.5391 loss: 3.9739 loss_cls: 2.6429 loss_bbox: 1.3310 +2024/10/30 11:48:32 - mmengine - INFO - Epoch(train) [92][3000/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:12:17 time: 0.4135 data_time: 0.0432 memory: 4652 grad_norm: 3.6991 loss: 3.9472 loss_cls: 2.6383 loss_bbox: 1.3089 +2024/10/30 11:48:53 - mmengine - INFO - Epoch(train) [92][3050/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 10:11:56 time: 0.4348 data_time: 0.0493 memory: 4652 grad_norm: 3.5692 loss: 3.8659 loss_cls: 2.5816 loss_bbox: 1.2843 +2024/10/30 11:48:56 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 11:48:56 - mmengine - INFO - Saving checkpoint at 92 epochs +2024/10/30 11:49:19 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 11:49:26 - mmengine - INFO - Epoch(train) [93][ 50/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:11:33 time: 0.4289 data_time: 0.0577 memory: 4652 grad_norm: 3.3769 loss: 3.7542 loss_cls: 2.5463 loss_bbox: 1.2078 +2024/10/30 11:49:49 - mmengine - INFO - Epoch(train) [93][ 100/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:11:12 time: 0.4457 data_time: 0.0482 memory: 4652 grad_norm: 3.1197 loss: 3.9992 loss_cls: 2.6719 loss_bbox: 1.3272 +2024/10/30 11:50:09 - mmengine - INFO - Epoch(train) [93][ 150/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:10:50 time: 0.4173 data_time: 0.0402 memory: 4652 grad_norm: 3.4545 loss: 3.7465 loss_cls: 2.5047 loss_bbox: 1.2419 +2024/10/30 11:50:30 - mmengine - INFO - Epoch(train) [93][ 200/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:10:28 time: 0.4117 data_time: 0.0392 memory: 4652 grad_norm: 3.5819 loss: 3.9537 loss_cls: 2.6539 loss_bbox: 1.2998 +2024/10/30 11:50:53 - mmengine - INFO - Epoch(train) [93][ 250/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:10:07 time: 0.4497 data_time: 0.0399 memory: 4652 grad_norm: 3.4314 loss: 3.8516 loss_cls: 2.5683 loss_bbox: 1.2833 +2024/10/30 11:51:13 - mmengine - INFO - Epoch(train) [93][ 300/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:09:46 time: 0.4156 data_time: 0.0379 memory: 4652 grad_norm: 3.6144 loss: 3.8906 loss_cls: 2.6123 loss_bbox: 1.2782 +2024/10/30 11:51:36 - mmengine - INFO - Epoch(train) [93][ 350/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:09:24 time: 0.4469 data_time: 0.0479 memory: 4652 grad_norm: 3.6630 loss: 3.8966 loss_cls: 2.6040 loss_bbox: 1.2925 +2024/10/30 11:51:57 - mmengine - INFO - Epoch(train) [93][ 400/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:09:03 time: 0.4178 data_time: 0.0428 memory: 4652 grad_norm: 3.2794 loss: 3.9825 loss_cls: 2.6103 loss_bbox: 1.3722 +2024/10/30 11:52:17 - mmengine - INFO - Epoch(train) [93][ 450/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:08:41 time: 0.4155 data_time: 0.0404 memory: 4652 grad_norm: 3.3734 loss: 3.8820 loss_cls: 2.5855 loss_bbox: 1.2965 +2024/10/30 11:52:40 - mmengine - INFO - Epoch(train) [93][ 500/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:08:20 time: 0.4406 data_time: 0.0483 memory: 4652 grad_norm: 3.5569 loss: 3.9294 loss_cls: 2.6232 loss_bbox: 1.3062 +2024/10/30 11:53:01 - mmengine - INFO - Epoch(train) [93][ 550/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:07:58 time: 0.4209 data_time: 0.0423 memory: 4652 grad_norm: 3.3842 loss: 3.8855 loss_cls: 2.6152 loss_bbox: 1.2703 +2024/10/30 11:53:24 - mmengine - INFO - Epoch(train) [93][ 600/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:07:37 time: 0.4691 data_time: 0.0407 memory: 4652 grad_norm: 3.3856 loss: 3.8852 loss_cls: 2.6033 loss_bbox: 1.2819 +2024/10/30 11:53:46 - mmengine - INFO - Epoch(train) [93][ 650/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:07:16 time: 0.4302 data_time: 0.0444 memory: 4652 grad_norm: 3.6185 loss: 3.9236 loss_cls: 2.6327 loss_bbox: 1.2909 +2024/10/30 11:54:07 - mmengine - INFO - Epoch(train) [93][ 700/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:06:55 time: 0.4368 data_time: 0.0486 memory: 4652 grad_norm: 3.7630 loss: 3.8937 loss_cls: 2.5959 loss_bbox: 1.2977 +2024/10/30 11:54:30 - mmengine - INFO - Epoch(train) [93][ 750/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:06:33 time: 0.4477 data_time: 0.0384 memory: 4652 grad_norm: 3.3000 loss: 3.8234 loss_cls: 2.5837 loss_bbox: 1.2396 +2024/10/30 11:54:52 - mmengine - INFO - Epoch(train) [93][ 800/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:06:12 time: 0.4330 data_time: 0.0413 memory: 4652 grad_norm: 3.4639 loss: 3.9860 loss_cls: 2.6383 loss_bbox: 1.3477 +2024/10/30 11:55:15 - mmengine - INFO - Epoch(train) [93][ 850/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:05:51 time: 0.4665 data_time: 0.0518 memory: 4652 grad_norm: 3.7245 loss: 3.9224 loss_cls: 2.6290 loss_bbox: 1.2933 +2024/10/30 11:55:37 - mmengine - INFO - Epoch(train) [93][ 900/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:05:30 time: 0.4309 data_time: 0.0392 memory: 4652 grad_norm: 3.3562 loss: 3.8908 loss_cls: 2.5994 loss_bbox: 1.2914 +2024/10/30 11:55:59 - mmengine - INFO - Epoch(train) [93][ 950/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:05:09 time: 0.4559 data_time: 0.0689 memory: 4652 grad_norm: 3.4598 loss: 3.9201 loss_cls: 2.5941 loss_bbox: 1.3260 +2024/10/30 11:56:22 - mmengine - INFO - Epoch(train) [93][1000/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:04:47 time: 0.4496 data_time: 0.0399 memory: 4652 grad_norm: 3.4473 loss: 3.8826 loss_cls: 2.5777 loss_bbox: 1.3049 +2024/10/30 11:56:36 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 11:56:44 - mmengine - INFO - Epoch(train) [93][1050/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:04:26 time: 0.4380 data_time: 0.0386 memory: 4652 grad_norm: 3.6181 loss: 3.8930 loss_cls: 2.5793 loss_bbox: 1.3137 +2024/10/30 11:57:07 - mmengine - INFO - Epoch(train) [93][1100/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:04:05 time: 0.4627 data_time: 0.0395 memory: 4652 grad_norm: 3.3560 loss: 3.8212 loss_cls: 2.5546 loss_bbox: 1.2666 +2024/10/30 11:57:29 - mmengine - INFO - Epoch(train) [93][1150/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:03:44 time: 0.4365 data_time: 0.0405 memory: 4652 grad_norm: 3.8133 loss: 3.9929 loss_cls: 2.6530 loss_bbox: 1.3399 +2024/10/30 11:57:51 - mmengine - INFO - Epoch(train) [93][1200/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:03:22 time: 0.4430 data_time: 0.0387 memory: 4652 grad_norm: 3.3389 loss: 3.9929 loss_cls: 2.6289 loss_bbox: 1.3641 +2024/10/30 11:58:14 - mmengine - INFO - Epoch(train) [93][1250/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:03:01 time: 0.4593 data_time: 0.0443 memory: 4652 grad_norm: 3.3161 loss: 3.8254 loss_cls: 2.5639 loss_bbox: 1.2615 +2024/10/30 11:58:36 - mmengine - INFO - Epoch(train) [93][1300/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:02:40 time: 0.4469 data_time: 0.0472 memory: 4652 grad_norm: 3.4723 loss: 3.9123 loss_cls: 2.5948 loss_bbox: 1.3174 +2024/10/30 11:58:59 - mmengine - INFO - Epoch(train) [93][1350/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:02:19 time: 0.4519 data_time: 0.0378 memory: 4652 grad_norm: 3.3560 loss: 3.9102 loss_cls: 2.6028 loss_bbox: 1.3074 +2024/10/30 11:59:21 - mmengine - INFO - Epoch(train) [93][1400/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:01:58 time: 0.4396 data_time: 0.0393 memory: 4652 grad_norm: 3.6822 loss: 3.8563 loss_cls: 2.5975 loss_bbox: 1.2588 +2024/10/30 11:59:43 - mmengine - INFO - Epoch(train) [93][1450/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:01:37 time: 0.4453 data_time: 0.0406 memory: 4652 grad_norm: 3.3624 loss: 3.8530 loss_cls: 2.5771 loss_bbox: 1.2759 +2024/10/30 12:00:06 - mmengine - INFO - Epoch(train) [93][1500/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:01:16 time: 0.4590 data_time: 0.0394 memory: 4652 grad_norm: 3.5883 loss: 3.9207 loss_cls: 2.6239 loss_bbox: 1.2968 +2024/10/30 12:00:28 - mmengine - INFO - Epoch(train) [93][1550/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:00:54 time: 0.4430 data_time: 0.0421 memory: 4652 grad_norm: 3.4323 loss: 3.8032 loss_cls: 2.5569 loss_bbox: 1.2463 +2024/10/30 12:00:51 - mmengine - INFO - Epoch(train) [93][1600/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:00:33 time: 0.4466 data_time: 0.0383 memory: 4652 grad_norm: 3.8435 loss: 3.9759 loss_cls: 2.6678 loss_bbox: 1.3080 +2024/10/30 12:01:12 - mmengine - INFO - Epoch(train) [93][1650/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 10:00:12 time: 0.4325 data_time: 0.0426 memory: 4652 grad_norm: 3.6554 loss: 3.8888 loss_cls: 2.6072 loss_bbox: 1.2816 +2024/10/30 12:01:34 - mmengine - INFO - Epoch(train) [93][1700/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:59:50 time: 0.4374 data_time: 0.0418 memory: 4652 grad_norm: 3.8299 loss: 3.9139 loss_cls: 2.6043 loss_bbox: 1.3096 +2024/10/30 12:01:57 - mmengine - INFO - Epoch(train) [93][1750/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:59:29 time: 0.4533 data_time: 0.0405 memory: 4652 grad_norm: 3.4701 loss: 3.9125 loss_cls: 2.5787 loss_bbox: 1.3338 +2024/10/30 12:02:19 - mmengine - INFO - Epoch(train) [93][1800/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:59:08 time: 0.4380 data_time: 0.0467 memory: 4652 grad_norm: 3.4750 loss: 3.8262 loss_cls: 2.5610 loss_bbox: 1.2651 +2024/10/30 12:02:41 - mmengine - INFO - Epoch(train) [93][1850/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:58:47 time: 0.4446 data_time: 0.0451 memory: 4652 grad_norm: 3.4982 loss: 3.8485 loss_cls: 2.5609 loss_bbox: 1.2876 +2024/10/30 12:03:04 - mmengine - INFO - Epoch(train) [93][1900/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:58:25 time: 0.4522 data_time: 0.0390 memory: 4652 grad_norm: 3.2686 loss: 3.9909 loss_cls: 2.6376 loss_bbox: 1.3533 +2024/10/30 12:03:27 - mmengine - INFO - Epoch(train) [93][1950/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:58:05 time: 0.4688 data_time: 0.0826 memory: 4652 grad_norm: 3.6230 loss: 3.8980 loss_cls: 2.6229 loss_bbox: 1.2751 +2024/10/30 12:03:50 - mmengine - INFO - Epoch(train) [93][2000/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:57:43 time: 0.4533 data_time: 0.0436 memory: 4652 grad_norm: 3.4414 loss: 3.9844 loss_cls: 2.6386 loss_bbox: 1.3459 +2024/10/30 12:04:05 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 12:04:12 - mmengine - INFO - Epoch(train) [93][2050/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:57:22 time: 0.4403 data_time: 0.0456 memory: 4652 grad_norm: 3.6187 loss: 3.9615 loss_cls: 2.6079 loss_bbox: 1.3535 +2024/10/30 12:04:34 - mmengine - INFO - Epoch(train) [93][2100/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:57:01 time: 0.4467 data_time: 0.0388 memory: 4652 grad_norm: 3.6377 loss: 3.9446 loss_cls: 2.6421 loss_bbox: 1.3025 +2024/10/30 12:04:57 - mmengine - INFO - Epoch(train) [93][2150/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:56:40 time: 0.4581 data_time: 0.0403 memory: 4652 grad_norm: 3.6504 loss: 3.9085 loss_cls: 2.6154 loss_bbox: 1.2931 +2024/10/30 12:05:19 - mmengine - INFO - Epoch(train) [93][2200/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:56:19 time: 0.4391 data_time: 0.0448 memory: 4652 grad_norm: 3.5418 loss: 3.8327 loss_cls: 2.5871 loss_bbox: 1.2456 +2024/10/30 12:05:42 - mmengine - INFO - Epoch(train) [93][2250/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:55:58 time: 0.4584 data_time: 0.0374 memory: 4652 grad_norm: 3.2479 loss: 3.8915 loss_cls: 2.6375 loss_bbox: 1.2540 +2024/10/30 12:06:05 - mmengine - INFO - Epoch(train) [93][2300/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:55:36 time: 0.4495 data_time: 0.0395 memory: 4652 grad_norm: 3.4032 loss: 4.0318 loss_cls: 2.6480 loss_bbox: 1.3837 +2024/10/30 12:06:28 - mmengine - INFO - Epoch(train) [93][2350/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:55:15 time: 0.4555 data_time: 0.0390 memory: 4652 grad_norm: 3.5433 loss: 3.8776 loss_cls: 2.5746 loss_bbox: 1.3030 +2024/10/30 12:06:50 - mmengine - INFO - Epoch(train) [93][2400/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:54:54 time: 0.4568 data_time: 0.0401 memory: 4652 grad_norm: 3.3751 loss: 3.9240 loss_cls: 2.6340 loss_bbox: 1.2900 +2024/10/30 12:07:12 - mmengine - INFO - Epoch(train) [93][2450/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:54:33 time: 0.4399 data_time: 0.0414 memory: 4652 grad_norm: 3.6657 loss: 3.9489 loss_cls: 2.6305 loss_bbox: 1.3185 +2024/10/30 12:07:36 - mmengine - INFO - Epoch(train) [93][2500/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:54:12 time: 0.4659 data_time: 0.0384 memory: 4652 grad_norm: 3.4367 loss: 3.8596 loss_cls: 2.5836 loss_bbox: 1.2760 +2024/10/30 12:07:58 - mmengine - INFO - Epoch(train) [93][2550/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:53:51 time: 0.4452 data_time: 0.0455 memory: 4652 grad_norm: 3.3024 loss: 3.9783 loss_cls: 2.6295 loss_bbox: 1.3488 +2024/10/30 12:08:21 - mmengine - INFO - Epoch(train) [93][2600/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:53:30 time: 0.4562 data_time: 0.0432 memory: 4652 grad_norm: 3.7850 loss: 3.9577 loss_cls: 2.6289 loss_bbox: 1.3288 +2024/10/30 12:08:43 - mmengine - INFO - Epoch(train) [93][2650/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:53:08 time: 0.4475 data_time: 0.0370 memory: 4652 grad_norm: 3.4033 loss: 3.9353 loss_cls: 2.5869 loss_bbox: 1.3484 +2024/10/30 12:09:06 - mmengine - INFO - Epoch(train) [93][2700/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:52:47 time: 0.4518 data_time: 0.0378 memory: 4652 grad_norm: 3.6311 loss: 3.8438 loss_cls: 2.5838 loss_bbox: 1.2600 +2024/10/30 12:09:29 - mmengine - INFO - Epoch(train) [93][2750/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:52:26 time: 0.4634 data_time: 0.0413 memory: 4652 grad_norm: 3.6785 loss: 3.9093 loss_cls: 2.5893 loss_bbox: 1.3201 +2024/10/30 12:09:52 - mmengine - INFO - Epoch(train) [93][2800/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:52:05 time: 0.4590 data_time: 0.0582 memory: 4652 grad_norm: 3.9372 loss: 3.9288 loss_cls: 2.6187 loss_bbox: 1.3100 +2024/10/30 12:10:15 - mmengine - INFO - Epoch(train) [93][2850/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:51:44 time: 0.4591 data_time: 0.0371 memory: 4652 grad_norm: 3.6189 loss: 3.9839 loss_cls: 2.6387 loss_bbox: 1.3453 +2024/10/30 12:10:38 - mmengine - INFO - Epoch(train) [93][2900/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:51:23 time: 0.4583 data_time: 0.0373 memory: 4652 grad_norm: 3.6183 loss: 3.8693 loss_cls: 2.5900 loss_bbox: 1.2794 +2024/10/30 12:11:01 - mmengine - INFO - Epoch(train) [93][2950/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:51:02 time: 0.4477 data_time: 0.0391 memory: 4652 grad_norm: 3.6209 loss: 3.9350 loss_cls: 2.6570 loss_bbox: 1.2780 +2024/10/30 12:11:24 - mmengine - INFO - Epoch(train) [93][3000/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:50:41 time: 0.4718 data_time: 0.0392 memory: 4652 grad_norm: 3.4189 loss: 3.9719 loss_cls: 2.6248 loss_bbox: 1.3471 +2024/10/30 12:11:39 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 12:11:47 - mmengine - INFO - Epoch(train) [93][3050/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 9:50:20 time: 0.4506 data_time: 0.0466 memory: 4652 grad_norm: 3.8008 loss: 3.8490 loss_cls: 2.5629 loss_bbox: 1.2862 +2024/10/30 12:11:48 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 12:11:48 - mmengine - INFO - Saving checkpoint at 93 epochs +2024/10/30 12:12:17 - mmengine - INFO - Epoch(train) [94][ 50/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:49:57 time: 0.4679 data_time: 0.0576 memory: 4652 grad_norm: 3.1747 loss: 3.8238 loss_cls: 2.5480 loss_bbox: 1.2759 +2024/10/30 12:12:38 - mmengine - INFO - Epoch(train) [94][ 100/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:49:36 time: 0.4309 data_time: 0.0461 memory: 4652 grad_norm: 3.4696 loss: 3.9203 loss_cls: 2.5931 loss_bbox: 1.3272 +2024/10/30 12:12:59 - mmengine - INFO - Epoch(train) [94][ 150/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:49:14 time: 0.4247 data_time: 0.0432 memory: 4652 grad_norm: 3.5388 loss: 3.8670 loss_cls: 2.5926 loss_bbox: 1.2744 +2024/10/30 12:13:22 - mmengine - INFO - Epoch(train) [94][ 200/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:48:53 time: 0.4530 data_time: 0.0509 memory: 4652 grad_norm: 3.4720 loss: 3.8047 loss_cls: 2.5429 loss_bbox: 1.2618 +2024/10/30 12:13:43 - mmengine - INFO - Epoch(train) [94][ 250/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:48:31 time: 0.4132 data_time: 0.0441 memory: 4652 grad_norm: 3.4650 loss: 3.9605 loss_cls: 2.6162 loss_bbox: 1.3443 +2024/10/30 12:14:05 - mmengine - INFO - Epoch(train) [94][ 300/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:48:10 time: 0.4380 data_time: 0.0396 memory: 4652 grad_norm: 3.4432 loss: 3.8154 loss_cls: 2.5549 loss_bbox: 1.2605 +2024/10/30 12:14:26 - mmengine - INFO - Epoch(train) [94][ 350/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:47:49 time: 0.4309 data_time: 0.0425 memory: 4652 grad_norm: 3.4301 loss: 3.8254 loss_cls: 2.5698 loss_bbox: 1.2556 +2024/10/30 12:14:48 - mmengine - INFO - Epoch(train) [94][ 400/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:47:27 time: 0.4285 data_time: 0.0465 memory: 4652 grad_norm: 3.5789 loss: 3.9602 loss_cls: 2.6585 loss_bbox: 1.3017 +2024/10/30 12:15:10 - mmengine - INFO - Epoch(train) [94][ 450/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:47:06 time: 0.4400 data_time: 0.0386 memory: 4652 grad_norm: 3.8018 loss: 3.7639 loss_cls: 2.5393 loss_bbox: 1.2246 +2024/10/30 12:15:31 - mmengine - INFO - Epoch(train) [94][ 500/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:46:44 time: 0.4152 data_time: 0.0417 memory: 4652 grad_norm: 3.5158 loss: 3.8743 loss_cls: 2.5658 loss_bbox: 1.3085 +2024/10/30 12:15:52 - mmengine - INFO - Epoch(train) [94][ 550/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:46:23 time: 0.4350 data_time: 0.0472 memory: 4652 grad_norm: 3.5219 loss: 3.8795 loss_cls: 2.6151 loss_bbox: 1.2644 +2024/10/30 12:16:14 - mmengine - INFO - Epoch(train) [94][ 600/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:46:01 time: 0.4294 data_time: 0.0468 memory: 4652 grad_norm: 3.5497 loss: 3.8294 loss_cls: 2.5617 loss_bbox: 1.2676 +2024/10/30 12:16:35 - mmengine - INFO - Epoch(train) [94][ 650/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:45:40 time: 0.4287 data_time: 0.0443 memory: 4652 grad_norm: 3.7230 loss: 3.7382 loss_cls: 2.4983 loss_bbox: 1.2399 +2024/10/30 12:16:57 - mmengine - INFO - Epoch(train) [94][ 700/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:45:18 time: 0.4329 data_time: 0.0379 memory: 4652 grad_norm: 3.6445 loss: 3.8674 loss_cls: 2.6070 loss_bbox: 1.2604 +2024/10/30 12:17:18 - mmengine - INFO - Epoch(train) [94][ 750/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:44:57 time: 0.4119 data_time: 0.0397 memory: 4652 grad_norm: 3.6203 loss: 3.8046 loss_cls: 2.5538 loss_bbox: 1.2508 +2024/10/30 12:17:39 - mmengine - INFO - Epoch(train) [94][ 800/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:44:35 time: 0.4282 data_time: 0.0423 memory: 4652 grad_norm: 3.3264 loss: 3.9128 loss_cls: 2.6008 loss_bbox: 1.3120 +2024/10/30 12:18:01 - mmengine - INFO - Epoch(train) [94][ 850/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:44:14 time: 0.4336 data_time: 0.0460 memory: 4652 grad_norm: 3.5517 loss: 3.9121 loss_cls: 2.5901 loss_bbox: 1.3219 +2024/10/30 12:18:22 - mmengine - INFO - Epoch(train) [94][ 900/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:43:52 time: 0.4238 data_time: 0.0390 memory: 4652 grad_norm: 3.7175 loss: 3.8650 loss_cls: 2.6060 loss_bbox: 1.2590 +2024/10/30 12:18:45 - mmengine - INFO - Epoch(train) [94][ 950/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:43:31 time: 0.4498 data_time: 0.0441 memory: 4652 grad_norm: 3.8395 loss: 3.8556 loss_cls: 2.5580 loss_bbox: 1.2976 +2024/10/30 12:18:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 12:19:06 - mmengine - INFO - Epoch(train) [94][1000/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:43:09 time: 0.4251 data_time: 0.0387 memory: 4652 grad_norm: 3.3717 loss: 3.9009 loss_cls: 2.6027 loss_bbox: 1.2982 +2024/10/30 12:19:28 - mmengine - INFO - Epoch(train) [94][1050/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:42:48 time: 0.4379 data_time: 0.0389 memory: 4652 grad_norm: 3.8921 loss: 3.9663 loss_cls: 2.6265 loss_bbox: 1.3398 +2024/10/30 12:19:49 - mmengine - INFO - Epoch(train) [94][1100/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:42:27 time: 0.4287 data_time: 0.0466 memory: 4652 grad_norm: 3.5155 loss: 3.8549 loss_cls: 2.5806 loss_bbox: 1.2743 +2024/10/30 12:20:10 - mmengine - INFO - Epoch(train) [94][1150/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:42:05 time: 0.4204 data_time: 0.0390 memory: 4652 grad_norm: 3.4836 loss: 3.7940 loss_cls: 2.5586 loss_bbox: 1.2354 +2024/10/30 12:20:33 - mmengine - INFO - Epoch(train) [94][1200/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:41:44 time: 0.4430 data_time: 0.0404 memory: 4652 grad_norm: 3.5376 loss: 3.8827 loss_cls: 2.5789 loss_bbox: 1.3038 +2024/10/30 12:20:55 - mmengine - INFO - Epoch(train) [94][1250/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:41:22 time: 0.4381 data_time: 0.0425 memory: 4652 grad_norm: 3.3783 loss: 3.9011 loss_cls: 2.5795 loss_bbox: 1.3216 +2024/10/30 12:21:17 - mmengine - INFO - Epoch(train) [94][1300/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:41:01 time: 0.4428 data_time: 0.0390 memory: 4652 grad_norm: 3.5571 loss: 3.8945 loss_cls: 2.5790 loss_bbox: 1.3156 +2024/10/30 12:21:38 - mmengine - INFO - Epoch(train) [94][1350/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:40:40 time: 0.4347 data_time: 0.0463 memory: 4652 grad_norm: 3.5067 loss: 3.8376 loss_cls: 2.5688 loss_bbox: 1.2688 +2024/10/30 12:22:00 - mmengine - INFO - Epoch(train) [94][1400/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:40:18 time: 0.4248 data_time: 0.0397 memory: 4652 grad_norm: 3.5167 loss: 3.7968 loss_cls: 2.5498 loss_bbox: 1.2470 +2024/10/30 12:22:22 - mmengine - INFO - Epoch(train) [94][1450/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:39:57 time: 0.4371 data_time: 0.0407 memory: 4652 grad_norm: 3.7397 loss: 3.8104 loss_cls: 2.5310 loss_bbox: 1.2794 +2024/10/30 12:22:43 - mmengine - INFO - Epoch(train) [94][1500/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:39:35 time: 0.4361 data_time: 0.0404 memory: 4652 grad_norm: 3.5797 loss: 3.8994 loss_cls: 2.6145 loss_bbox: 1.2848 +2024/10/30 12:23:05 - mmengine - INFO - Epoch(train) [94][1550/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:39:14 time: 0.4296 data_time: 0.0430 memory: 4652 grad_norm: 3.5017 loss: 3.7438 loss_cls: 2.5134 loss_bbox: 1.2304 +2024/10/30 12:23:27 - mmengine - INFO - Epoch(train) [94][1600/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:38:53 time: 0.4481 data_time: 0.0506 memory: 4652 grad_norm: 3.3526 loss: 3.8027 loss_cls: 2.5437 loss_bbox: 1.2590 +2024/10/30 12:23:49 - mmengine - INFO - Epoch(train) [94][1650/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:38:31 time: 0.4344 data_time: 0.0405 memory: 4652 grad_norm: 3.5956 loss: 3.8125 loss_cls: 2.5745 loss_bbox: 1.2381 +2024/10/30 12:24:11 - mmengine - INFO - Epoch(train) [94][1700/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:38:10 time: 0.4444 data_time: 0.0471 memory: 4652 grad_norm: 3.4805 loss: 3.8307 loss_cls: 2.5645 loss_bbox: 1.2662 +2024/10/30 12:24:33 - mmengine - INFO - Epoch(train) [94][1750/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:37:48 time: 0.4273 data_time: 0.0396 memory: 4652 grad_norm: 3.5854 loss: 3.8337 loss_cls: 2.5430 loss_bbox: 1.2907 +2024/10/30 12:24:55 - mmengine - INFO - Epoch(train) [94][1800/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:37:27 time: 0.4370 data_time: 0.0383 memory: 4652 grad_norm: 3.4366 loss: 3.7560 loss_cls: 2.5279 loss_bbox: 1.2281 +2024/10/30 12:25:17 - mmengine - INFO - Epoch(train) [94][1850/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:37:06 time: 0.4361 data_time: 0.0424 memory: 4652 grad_norm: 3.7140 loss: 3.8263 loss_cls: 2.5598 loss_bbox: 1.2664 +2024/10/30 12:25:38 - mmengine - INFO - Epoch(train) [94][1900/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:36:44 time: 0.4299 data_time: 0.0420 memory: 4652 grad_norm: 3.5684 loss: 3.8471 loss_cls: 2.5683 loss_bbox: 1.2788 +2024/10/30 12:26:00 - mmengine - INFO - Epoch(train) [94][1950/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:36:23 time: 0.4398 data_time: 0.0385 memory: 4652 grad_norm: 3.5107 loss: 3.8238 loss_cls: 2.5641 loss_bbox: 1.2597 +2024/10/30 12:26:12 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 12:26:21 - mmengine - INFO - Epoch(train) [94][2000/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:36:01 time: 0.4226 data_time: 0.0386 memory: 4652 grad_norm: 3.9040 loss: 3.8883 loss_cls: 2.6191 loss_bbox: 1.2692 +2024/10/30 12:26:44 - mmengine - INFO - Epoch(train) [94][2050/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:35:40 time: 0.4454 data_time: 0.0400 memory: 4652 grad_norm: 3.5873 loss: 3.8331 loss_cls: 2.5642 loss_bbox: 1.2689 +2024/10/30 12:27:05 - mmengine - INFO - Epoch(train) [94][2100/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:35:19 time: 0.4356 data_time: 0.0390 memory: 4652 grad_norm: 3.5427 loss: 3.9463 loss_cls: 2.6305 loss_bbox: 1.3158 +2024/10/30 12:27:29 - mmengine - INFO - Epoch(train) [94][2150/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:34:58 time: 0.4788 data_time: 0.0702 memory: 4652 grad_norm: 3.6498 loss: 3.8912 loss_cls: 2.5593 loss_bbox: 1.3319 +2024/10/30 12:27:52 - mmengine - INFO - Epoch(train) [94][2200/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:34:37 time: 0.4423 data_time: 0.0399 memory: 4652 grad_norm: 3.3142 loss: 3.8663 loss_cls: 2.5931 loss_bbox: 1.2731 +2024/10/30 12:28:13 - mmengine - INFO - Epoch(train) [94][2250/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:34:15 time: 0.4331 data_time: 0.0401 memory: 4652 grad_norm: 3.6813 loss: 3.8070 loss_cls: 2.5431 loss_bbox: 1.2639 +2024/10/30 12:28:36 - mmengine - INFO - Epoch(train) [94][2300/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:33:54 time: 0.4636 data_time: 0.0506 memory: 4652 grad_norm: 3.9530 loss: 3.8344 loss_cls: 2.5637 loss_bbox: 1.2707 +2024/10/30 12:28:58 - mmengine - INFO - Epoch(train) [94][2350/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:33:33 time: 0.4384 data_time: 0.0415 memory: 4652 grad_norm: 3.4158 loss: 3.9443 loss_cls: 2.6234 loss_bbox: 1.3209 +2024/10/30 12:29:21 - mmengine - INFO - Epoch(train) [94][2400/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:33:12 time: 0.4465 data_time: 0.0401 memory: 4652 grad_norm: 3.6648 loss: 3.8610 loss_cls: 2.5634 loss_bbox: 1.2976 +2024/10/30 12:29:43 - mmengine - INFO - Epoch(train) [94][2450/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:32:50 time: 0.4411 data_time: 0.0425 memory: 4652 grad_norm: 3.5014 loss: 3.8477 loss_cls: 2.5950 loss_bbox: 1.2527 +2024/10/30 12:30:04 - mmengine - INFO - Epoch(train) [94][2500/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:32:29 time: 0.4278 data_time: 0.0414 memory: 4652 grad_norm: 3.4983 loss: 3.8234 loss_cls: 2.5589 loss_bbox: 1.2645 +2024/10/30 12:30:29 - mmengine - INFO - Epoch(train) [94][2550/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:32:08 time: 0.4925 data_time: 0.0911 memory: 4652 grad_norm: 3.5989 loss: 3.8282 loss_cls: 2.5752 loss_bbox: 1.2530 +2024/10/30 12:30:51 - mmengine - INFO - Epoch(train) [94][2600/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:31:47 time: 0.4375 data_time: 0.0388 memory: 4652 grad_norm: 3.5341 loss: 3.7801 loss_cls: 2.5521 loss_bbox: 1.2279 +2024/10/30 12:31:13 - mmengine - INFO - Epoch(train) [94][2650/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:31:26 time: 0.4484 data_time: 0.0510 memory: 4652 grad_norm: 3.4192 loss: 3.9668 loss_cls: 2.6428 loss_bbox: 1.3240 +2024/10/30 12:31:35 - mmengine - INFO - Epoch(train) [94][2700/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:31:04 time: 0.4410 data_time: 0.0406 memory: 4652 grad_norm: 3.4120 loss: 3.9209 loss_cls: 2.6376 loss_bbox: 1.2833 +2024/10/30 12:31:57 - mmengine - INFO - Epoch(train) [94][2750/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:30:43 time: 0.4420 data_time: 0.0575 memory: 4652 grad_norm: 4.1118 loss: 3.8109 loss_cls: 2.5298 loss_bbox: 1.2812 +2024/10/30 12:32:20 - mmengine - INFO - Epoch(train) [94][2800/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:30:22 time: 0.4572 data_time: 0.0478 memory: 4652 grad_norm: 3.7662 loss: 3.9285 loss_cls: 2.6137 loss_bbox: 1.3148 +2024/10/30 12:32:42 - mmengine - INFO - Epoch(train) [94][2850/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:30:00 time: 0.4259 data_time: 0.0393 memory: 4652 grad_norm: 3.4052 loss: 3.8524 loss_cls: 2.5595 loss_bbox: 1.2929 +2024/10/30 12:33:04 - mmengine - INFO - Epoch(train) [94][2900/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:29:39 time: 0.4393 data_time: 0.0478 memory: 4652 grad_norm: 3.4998 loss: 3.8406 loss_cls: 2.5512 loss_bbox: 1.2894 +2024/10/30 12:33:26 - mmengine - INFO - Epoch(train) [94][2950/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:29:18 time: 0.4499 data_time: 0.0530 memory: 4652 grad_norm: 3.7149 loss: 3.8461 loss_cls: 2.5682 loss_bbox: 1.2779 +2024/10/30 12:33:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 12:33:48 - mmengine - INFO - Epoch(train) [94][3000/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:28:56 time: 0.4262 data_time: 0.0455 memory: 4652 grad_norm: 3.5888 loss: 3.9348 loss_cls: 2.6094 loss_bbox: 1.3255 +2024/10/30 12:34:10 - mmengine - INFO - Epoch(train) [94][3050/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 9:28:35 time: 0.4386 data_time: 0.0453 memory: 4652 grad_norm: 3.2384 loss: 3.8147 loss_cls: 2.5546 loss_bbox: 1.2601 +2024/10/30 12:34:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 12:34:11 - mmengine - INFO - Saving checkpoint at 94 epochs +2024/10/30 12:34:37 - mmengine - INFO - Epoch(train) [95][ 50/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:28:12 time: 0.4189 data_time: 0.0587 memory: 4652 grad_norm: 3.3547 loss: 3.8280 loss_cls: 2.5434 loss_bbox: 1.2846 +2024/10/30 12:34:58 - mmengine - INFO - Epoch(train) [95][ 100/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:27:50 time: 0.4179 data_time: 0.0405 memory: 4652 grad_norm: 3.5235 loss: 3.8152 loss_cls: 2.5705 loss_bbox: 1.2447 +2024/10/30 12:35:19 - mmengine - INFO - Epoch(train) [95][ 150/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:27:28 time: 0.4267 data_time: 0.0431 memory: 4652 grad_norm: 3.8282 loss: 3.7618 loss_cls: 2.5462 loss_bbox: 1.2156 +2024/10/30 12:35:40 - mmengine - INFO - Epoch(train) [95][ 200/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:27:07 time: 0.4064 data_time: 0.0408 memory: 4652 grad_norm: 3.4100 loss: 3.8410 loss_cls: 2.5846 loss_bbox: 1.2565 +2024/10/30 12:36:01 - mmengine - INFO - Epoch(train) [95][ 250/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:26:45 time: 0.4274 data_time: 0.0428 memory: 4652 grad_norm: 3.5777 loss: 3.8131 loss_cls: 2.5172 loss_bbox: 1.2959 +2024/10/30 12:36:22 - mmengine - INFO - Epoch(train) [95][ 300/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:26:23 time: 0.4062 data_time: 0.0425 memory: 4652 grad_norm: 3.4456 loss: 3.7765 loss_cls: 2.5062 loss_bbox: 1.2704 +2024/10/30 12:36:43 - mmengine - INFO - Epoch(train) [95][ 350/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:26:02 time: 0.4356 data_time: 0.0541 memory: 4652 grad_norm: 3.5650 loss: 3.8742 loss_cls: 2.5946 loss_bbox: 1.2795 +2024/10/30 12:37:04 - mmengine - INFO - Epoch(train) [95][ 400/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:25:40 time: 0.4153 data_time: 0.0411 memory: 4652 grad_norm: 3.4676 loss: 3.8486 loss_cls: 2.5466 loss_bbox: 1.3020 +2024/10/30 12:37:26 - mmengine - INFO - Epoch(train) [95][ 450/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:25:19 time: 0.4300 data_time: 0.0617 memory: 4652 grad_norm: 3.7485 loss: 3.8350 loss_cls: 2.5359 loss_bbox: 1.2991 +2024/10/30 12:37:47 - mmengine - INFO - Epoch(train) [95][ 500/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:24:57 time: 0.4277 data_time: 0.0426 memory: 4652 grad_norm: 3.7012 loss: 3.8566 loss_cls: 2.5442 loss_bbox: 1.3124 +2024/10/30 12:38:08 - mmengine - INFO - Epoch(train) [95][ 550/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:24:35 time: 0.4119 data_time: 0.0399 memory: 4652 grad_norm: 3.4992 loss: 3.8149 loss_cls: 2.5519 loss_bbox: 1.2630 +2024/10/30 12:38:30 - mmengine - INFO - Epoch(train) [95][ 600/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:24:14 time: 0.4382 data_time: 0.0413 memory: 4652 grad_norm: 3.4921 loss: 3.8156 loss_cls: 2.5484 loss_bbox: 1.2672 +2024/10/30 12:38:51 - mmengine - INFO - Epoch(train) [95][ 650/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:23:52 time: 0.4161 data_time: 0.0507 memory: 4652 grad_norm: 3.6682 loss: 3.8311 loss_cls: 2.5461 loss_bbox: 1.2849 +2024/10/30 12:39:12 - mmengine - INFO - Epoch(train) [95][ 700/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:23:31 time: 0.4200 data_time: 0.0490 memory: 4652 grad_norm: 3.6179 loss: 3.8141 loss_cls: 2.5363 loss_bbox: 1.2778 +2024/10/30 12:39:33 - mmengine - INFO - Epoch(train) [95][ 750/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:23:09 time: 0.4215 data_time: 0.0405 memory: 4652 grad_norm: 3.4564 loss: 3.8238 loss_cls: 2.5715 loss_bbox: 1.2523 +2024/10/30 12:39:54 - mmengine - INFO - Epoch(train) [95][ 800/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:22:48 time: 0.4177 data_time: 0.0394 memory: 4652 grad_norm: 3.6827 loss: 3.8522 loss_cls: 2.5570 loss_bbox: 1.2952 +2024/10/30 12:40:15 - mmengine - INFO - Epoch(train) [95][ 850/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:22:26 time: 0.4373 data_time: 0.0393 memory: 4652 grad_norm: 3.7249 loss: 3.8241 loss_cls: 2.5533 loss_bbox: 1.2709 +2024/10/30 12:40:36 - mmengine - INFO - Epoch(train) [95][ 900/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:22:04 time: 0.4061 data_time: 0.0405 memory: 4652 grad_norm: 3.3400 loss: 3.7695 loss_cls: 2.5209 loss_bbox: 1.2487 +2024/10/30 12:40:46 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 12:40:57 - mmengine - INFO - Epoch(train) [95][ 950/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:21:43 time: 0.4264 data_time: 0.0538 memory: 4652 grad_norm: 3.8375 loss: 3.8497 loss_cls: 2.5834 loss_bbox: 1.2662 +2024/10/30 12:41:18 - mmengine - INFO - Epoch(train) [95][1000/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:21:21 time: 0.4246 data_time: 0.0401 memory: 4652 grad_norm: 3.3848 loss: 3.8856 loss_cls: 2.6165 loss_bbox: 1.2691 +2024/10/30 12:41:39 - mmengine - INFO - Epoch(train) [95][1050/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:21:00 time: 0.4157 data_time: 0.0414 memory: 4652 grad_norm: 3.5606 loss: 3.8890 loss_cls: 2.6101 loss_bbox: 1.2789 +2024/10/30 12:42:01 - mmengine - INFO - Epoch(train) [95][1100/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:20:38 time: 0.4280 data_time: 0.0408 memory: 4652 grad_norm: 3.6473 loss: 3.8765 loss_cls: 2.5550 loss_bbox: 1.3215 +2024/10/30 12:42:22 - mmengine - INFO - Epoch(train) [95][1150/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:20:17 time: 0.4212 data_time: 0.0409 memory: 4652 grad_norm: 3.7955 loss: 3.7425 loss_cls: 2.5284 loss_bbox: 1.2141 +2024/10/30 12:42:43 - mmengine - INFO - Epoch(train) [95][1200/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:19:55 time: 0.4251 data_time: 0.0504 memory: 4652 grad_norm: 3.4499 loss: 3.8486 loss_cls: 2.5503 loss_bbox: 1.2983 +2024/10/30 12:43:05 - mmengine - INFO - Epoch(train) [95][1250/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:19:34 time: 0.4380 data_time: 0.0465 memory: 4652 grad_norm: 3.6188 loss: 3.8753 loss_cls: 2.5572 loss_bbox: 1.3181 +2024/10/30 12:43:27 - mmengine - INFO - Epoch(train) [95][1300/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:19:12 time: 0.4314 data_time: 0.0496 memory: 4652 grad_norm: 3.8400 loss: 3.8825 loss_cls: 2.6089 loss_bbox: 1.2735 +2024/10/30 12:43:48 - mmengine - INFO - Epoch(train) [95][1350/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:18:51 time: 0.4265 data_time: 0.0416 memory: 4652 grad_norm: 3.5096 loss: 3.8502 loss_cls: 2.5593 loss_bbox: 1.2909 +2024/10/30 12:44:09 - mmengine - INFO - Epoch(train) [95][1400/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:18:29 time: 0.4183 data_time: 0.0411 memory: 4652 grad_norm: 3.6329 loss: 3.8634 loss_cls: 2.5980 loss_bbox: 1.2654 +2024/10/30 12:44:30 - mmengine - INFO - Epoch(train) [95][1450/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:18:08 time: 0.4249 data_time: 0.0417 memory: 4652 grad_norm: 3.8683 loss: 3.8732 loss_cls: 2.5834 loss_bbox: 1.2898 +2024/10/30 12:44:52 - mmengine - INFO - Epoch(train) [95][1500/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:17:46 time: 0.4383 data_time: 0.0416 memory: 4652 grad_norm: 3.9009 loss: 3.7925 loss_cls: 2.5366 loss_bbox: 1.2559 +2024/10/30 12:45:14 - mmengine - INFO - Epoch(train) [95][1550/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:17:25 time: 0.4360 data_time: 0.0439 memory: 4652 grad_norm: 3.6658 loss: 3.7102 loss_cls: 2.4869 loss_bbox: 1.2233 +2024/10/30 12:45:36 - mmengine - INFO - Epoch(train) [95][1600/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:17:03 time: 0.4317 data_time: 0.0405 memory: 4652 grad_norm: 3.3803 loss: 3.8415 loss_cls: 2.5796 loss_bbox: 1.2619 +2024/10/30 12:45:57 - mmengine - INFO - Epoch(train) [95][1650/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:16:42 time: 0.4266 data_time: 0.0395 memory: 4652 grad_norm: 3.5139 loss: 3.7164 loss_cls: 2.5177 loss_bbox: 1.1987 +2024/10/30 12:46:18 - mmengine - INFO - Epoch(train) [95][1700/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:16:20 time: 0.4196 data_time: 0.0403 memory: 4652 grad_norm: 3.7380 loss: 3.8984 loss_cls: 2.5783 loss_bbox: 1.3201 +2024/10/30 12:46:39 - mmengine - INFO - Epoch(train) [95][1750/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:15:59 time: 0.4270 data_time: 0.0404 memory: 4652 grad_norm: 3.5854 loss: 3.8807 loss_cls: 2.5617 loss_bbox: 1.3190 +2024/10/30 12:47:01 - mmengine - INFO - Epoch(train) [95][1800/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:15:37 time: 0.4368 data_time: 0.0472 memory: 4652 grad_norm: 3.8489 loss: 3.8942 loss_cls: 2.5944 loss_bbox: 1.2998 +2024/10/30 12:47:27 - mmengine - INFO - Epoch(train) [95][1850/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:15:17 time: 0.5088 data_time: 0.1172 memory: 4652 grad_norm: 3.5864 loss: 3.8359 loss_cls: 2.5626 loss_bbox: 1.2733 +2024/10/30 12:47:48 - mmengine - INFO - Epoch(train) [95][1900/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:14:55 time: 0.4237 data_time: 0.0404 memory: 4652 grad_norm: 3.5674 loss: 3.8446 loss_cls: 2.5824 loss_bbox: 1.2621 +2024/10/30 12:47:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 12:48:10 - mmengine - INFO - Epoch(train) [95][1950/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:14:34 time: 0.4406 data_time: 0.0440 memory: 4652 grad_norm: 3.8463 loss: 3.8429 loss_cls: 2.5646 loss_bbox: 1.2783 +2024/10/30 12:48:31 - mmengine - INFO - Epoch(train) [95][2000/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:14:12 time: 0.4176 data_time: 0.0425 memory: 4652 grad_norm: 3.8482 loss: 3.7609 loss_cls: 2.5268 loss_bbox: 1.2341 +2024/10/30 12:48:52 - mmengine - INFO - Epoch(train) [95][2050/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:13:51 time: 0.4298 data_time: 0.0506 memory: 4652 grad_norm: 3.4487 loss: 3.8176 loss_cls: 2.5351 loss_bbox: 1.2825 +2024/10/30 12:49:14 - mmengine - INFO - Epoch(train) [95][2100/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:13:29 time: 0.4363 data_time: 0.0420 memory: 4652 grad_norm: 3.9716 loss: 3.8821 loss_cls: 2.5840 loss_bbox: 1.2980 +2024/10/30 12:49:36 - mmengine - INFO - Epoch(train) [95][2150/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:13:08 time: 0.4320 data_time: 0.0533 memory: 4652 grad_norm: 3.5281 loss: 3.8170 loss_cls: 2.5365 loss_bbox: 1.2805 +2024/10/30 12:49:57 - mmengine - INFO - Epoch(train) [95][2200/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:12:47 time: 0.4294 data_time: 0.0401 memory: 4652 grad_norm: 3.5400 loss: 3.7775 loss_cls: 2.5162 loss_bbox: 1.2613 +2024/10/30 12:50:19 - mmengine - INFO - Epoch(train) [95][2250/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:12:25 time: 0.4239 data_time: 0.0401 memory: 4652 grad_norm: 3.7040 loss: 3.7959 loss_cls: 2.5368 loss_bbox: 1.2590 +2024/10/30 12:50:40 - mmengine - INFO - Epoch(train) [95][2300/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:12:04 time: 0.4299 data_time: 0.0403 memory: 4652 grad_norm: 3.8188 loss: 3.7939 loss_cls: 2.5150 loss_bbox: 1.2789 +2024/10/30 12:51:01 - mmengine - INFO - Epoch(train) [95][2350/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:11:42 time: 0.4251 data_time: 0.0416 memory: 4652 grad_norm: 3.5774 loss: 3.9000 loss_cls: 2.5754 loss_bbox: 1.3245 +2024/10/30 12:51:27 - mmengine - INFO - Epoch(train) [95][2400/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:11:22 time: 0.5098 data_time: 0.1329 memory: 4652 grad_norm: 3.4982 loss: 3.7605 loss_cls: 2.5251 loss_bbox: 1.2354 +2024/10/30 12:51:49 - mmengine - INFO - Epoch(train) [95][2450/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:11:00 time: 0.4484 data_time: 0.0448 memory: 4652 grad_norm: 3.5257 loss: 3.7623 loss_cls: 2.5176 loss_bbox: 1.2447 +2024/10/30 12:52:11 - mmengine - INFO - Epoch(train) [95][2500/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:10:39 time: 0.4305 data_time: 0.0417 memory: 4652 grad_norm: 3.4829 loss: 3.9627 loss_cls: 2.5997 loss_bbox: 1.3630 +2024/10/30 12:52:33 - mmengine - INFO - Epoch(train) [95][2550/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:10:18 time: 0.4401 data_time: 0.0423 memory: 4652 grad_norm: 3.5623 loss: 3.8973 loss_cls: 2.6107 loss_bbox: 1.2866 +2024/10/30 12:52:54 - mmengine - INFO - Epoch(train) [95][2600/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:09:56 time: 0.4235 data_time: 0.0388 memory: 4652 grad_norm: 3.5422 loss: 3.8201 loss_cls: 2.5527 loss_bbox: 1.2674 +2024/10/30 12:53:15 - mmengine - INFO - Epoch(train) [95][2650/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:09:34 time: 0.4232 data_time: 0.0407 memory: 4652 grad_norm: 3.4398 loss: 3.7848 loss_cls: 2.5373 loss_bbox: 1.2474 +2024/10/30 12:53:38 - mmengine - INFO - Epoch(train) [95][2700/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:09:13 time: 0.4435 data_time: 0.0391 memory: 4652 grad_norm: 3.7250 loss: 3.8739 loss_cls: 2.5837 loss_bbox: 1.2902 +2024/10/30 12:54:00 - mmengine - INFO - Epoch(train) [95][2750/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:08:52 time: 0.4411 data_time: 0.0435 memory: 4652 grad_norm: 3.8666 loss: 3.7569 loss_cls: 2.5325 loss_bbox: 1.2244 +2024/10/30 12:54:21 - mmengine - INFO - Epoch(train) [95][2800/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:08:30 time: 0.4306 data_time: 0.0401 memory: 4652 grad_norm: 3.5264 loss: 3.8001 loss_cls: 2.5608 loss_bbox: 1.2393 +2024/10/30 12:54:43 - mmengine - INFO - Epoch(train) [95][2850/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:08:09 time: 0.4361 data_time: 0.0436 memory: 4652 grad_norm: 3.8991 loss: 3.9230 loss_cls: 2.6096 loss_bbox: 1.3134 +2024/10/30 12:55:05 - mmengine - INFO - Epoch(train) [95][2900/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:07:48 time: 0.4435 data_time: 0.0530 memory: 4652 grad_norm: 3.4516 loss: 3.9779 loss_cls: 2.6188 loss_bbox: 1.3592 +2024/10/30 12:55:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 12:55:28 - mmengine - INFO - Epoch(train) [95][2950/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:07:26 time: 0.4489 data_time: 0.0566 memory: 4652 grad_norm: 3.4576 loss: 3.8300 loss_cls: 2.5796 loss_bbox: 1.2504 +2024/10/30 12:55:50 - mmengine - INFO - Epoch(train) [95][3000/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:07:05 time: 0.4380 data_time: 0.0476 memory: 4652 grad_norm: 3.7506 loss: 3.8201 loss_cls: 2.5615 loss_bbox: 1.2586 +2024/10/30 12:56:11 - mmengine - INFO - Epoch(train) [95][3050/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 9:06:44 time: 0.4255 data_time: 0.0414 memory: 4652 grad_norm: 3.5587 loss: 3.8434 loss_cls: 2.5904 loss_bbox: 1.2531 +2024/10/30 12:56:12 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 12:56:12 - mmengine - INFO - Saving checkpoint at 95 epochs +2024/10/30 12:56:20 - mmengine - INFO - Epoch(val) [95][50/79] eta: 0:00:02 time: 0.0735 data_time: 0.0087 memory: 4652 +2024/10/30 12:56:39 - mmengine - INFO - Evaluating bbox... +2024/10/30 12:58:06 - mmengine - INFO - bbox_mAP_copypaste: 0.251 0.417 0.260 0.073 0.292 0.397 +2024/10/30 12:58:08 - mmengine - INFO - Epoch(val) [95][79/79] coco/bbox_mAP: 0.2510 coco/bbox_mAP_50: 0.4170 coco/bbox_mAP_75: 0.2600 coco/bbox_mAP_s: 0.0730 coco/bbox_mAP_m: 0.2920 coco/bbox_mAP_l: 0.3970 data_time: 0.0081 time: 0.0721 +2024/10/30 12:58:31 - mmengine - INFO - Epoch(train) [96][ 50/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:06:21 time: 0.4566 data_time: 0.0689 memory: 4652 grad_norm: 3.7148 loss: 3.7472 loss_cls: 2.5200 loss_bbox: 1.2273 +2024/10/30 12:58:52 - mmengine - INFO - Epoch(train) [96][ 100/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:05:59 time: 0.4261 data_time: 0.0425 memory: 4652 grad_norm: 3.4695 loss: 3.7364 loss_cls: 2.5000 loss_bbox: 1.2364 +2024/10/30 12:59:14 - mmengine - INFO - Epoch(train) [96][ 150/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:05:38 time: 0.4256 data_time: 0.0408 memory: 4652 grad_norm: 3.9805 loss: 3.7687 loss_cls: 2.5214 loss_bbox: 1.2473 +2024/10/30 12:59:34 - mmengine - INFO - Epoch(train) [96][ 200/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:05:16 time: 0.4153 data_time: 0.0383 memory: 4652 grad_norm: 3.5355 loss: 3.7767 loss_cls: 2.5354 loss_bbox: 1.2413 +2024/10/30 12:59:56 - mmengine - INFO - Epoch(train) [96][ 250/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:04:54 time: 0.4231 data_time: 0.0441 memory: 4652 grad_norm: 3.8983 loss: 3.8684 loss_cls: 2.5831 loss_bbox: 1.2853 +2024/10/30 13:00:17 - mmengine - INFO - Epoch(train) [96][ 300/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:04:33 time: 0.4251 data_time: 0.0405 memory: 4652 grad_norm: 3.6744 loss: 3.7946 loss_cls: 2.5260 loss_bbox: 1.2686 +2024/10/30 13:00:38 - mmengine - INFO - Epoch(train) [96][ 350/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:04:11 time: 0.4258 data_time: 0.0430 memory: 4652 grad_norm: 3.6999 loss: 3.7277 loss_cls: 2.5170 loss_bbox: 1.2108 +2024/10/30 13:00:59 - mmengine - INFO - Epoch(train) [96][ 400/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:03:49 time: 0.4102 data_time: 0.0392 memory: 4652 grad_norm: 3.4349 loss: 3.7357 loss_cls: 2.4807 loss_bbox: 1.2550 +2024/10/30 13:01:20 - mmengine - INFO - Epoch(train) [96][ 450/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:03:28 time: 0.4220 data_time: 0.0414 memory: 4652 grad_norm: 3.6025 loss: 3.7781 loss_cls: 2.5163 loss_bbox: 1.2619 +2024/10/30 13:01:41 - mmengine - INFO - Epoch(train) [96][ 500/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:03:06 time: 0.4186 data_time: 0.0385 memory: 4652 grad_norm: 3.7919 loss: 3.7768 loss_cls: 2.5473 loss_bbox: 1.2295 +2024/10/30 13:02:02 - mmengine - INFO - Epoch(train) [96][ 550/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:02:45 time: 0.4223 data_time: 0.0404 memory: 4652 grad_norm: 3.5291 loss: 3.8074 loss_cls: 2.5345 loss_bbox: 1.2729 +2024/10/30 13:02:27 - mmengine - INFO - Epoch(train) [96][ 600/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:02:24 time: 0.4885 data_time: 0.1050 memory: 4652 grad_norm: 4.0821 loss: 3.8015 loss_cls: 2.5316 loss_bbox: 1.2699 +2024/10/30 13:02:48 - mmengine - INFO - Epoch(train) [96][ 650/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:02:02 time: 0.4236 data_time: 0.0509 memory: 4652 grad_norm: 3.7395 loss: 3.8649 loss_cls: 2.5971 loss_bbox: 1.2677 +2024/10/30 13:03:09 - mmengine - INFO - Epoch(train) [96][ 700/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:01:41 time: 0.4263 data_time: 0.0401 memory: 4652 grad_norm: 3.5029 loss: 3.8604 loss_cls: 2.5618 loss_bbox: 1.2986 +2024/10/30 13:03:30 - mmengine - INFO - Epoch(train) [96][ 750/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:01:19 time: 0.4223 data_time: 0.0383 memory: 4652 grad_norm: 3.7055 loss: 3.7999 loss_cls: 2.5436 loss_bbox: 1.2563 +2024/10/30 13:03:51 - mmengine - INFO - Epoch(train) [96][ 800/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:00:58 time: 0.4230 data_time: 0.0384 memory: 4652 grad_norm: 3.5395 loss: 3.8929 loss_cls: 2.5897 loss_bbox: 1.3032 +2024/10/30 13:04:13 - mmengine - INFO - Epoch(train) [96][ 850/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:00:36 time: 0.4294 data_time: 0.0468 memory: 4652 grad_norm: 3.7063 loss: 3.8574 loss_cls: 2.5830 loss_bbox: 1.2745 +2024/10/30 13:04:21 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 13:04:34 - mmengine - INFO - Epoch(train) [96][ 900/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 9:00:15 time: 0.4223 data_time: 0.0448 memory: 4652 grad_norm: 3.8965 loss: 3.8192 loss_cls: 2.5280 loss_bbox: 1.2911 +2024/10/30 13:04:55 - mmengine - INFO - Epoch(train) [96][ 950/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:59:53 time: 0.4239 data_time: 0.0466 memory: 4652 grad_norm: 3.6707 loss: 3.8278 loss_cls: 2.5586 loss_bbox: 1.2692 +2024/10/30 13:05:17 - mmengine - INFO - Epoch(train) [96][1000/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:59:32 time: 0.4317 data_time: 0.0562 memory: 4652 grad_norm: 3.6805 loss: 3.8113 loss_cls: 2.5478 loss_bbox: 1.2634 +2024/10/30 13:05:39 - mmengine - INFO - Epoch(train) [96][1050/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:59:10 time: 0.4321 data_time: 0.0471 memory: 4652 grad_norm: 3.5991 loss: 3.8047 loss_cls: 2.5534 loss_bbox: 1.2513 +2024/10/30 13:06:00 - mmengine - INFO - Epoch(train) [96][1100/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:58:49 time: 0.4296 data_time: 0.0490 memory: 4652 grad_norm: 3.3632 loss: 3.8540 loss_cls: 2.5734 loss_bbox: 1.2806 +2024/10/30 13:06:21 - mmengine - INFO - Epoch(train) [96][1150/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:58:27 time: 0.4205 data_time: 0.0407 memory: 4652 grad_norm: 3.9457 loss: 3.8047 loss_cls: 2.5454 loss_bbox: 1.2593 +2024/10/30 13:06:43 - mmengine - INFO - Epoch(train) [96][1200/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:58:06 time: 0.4264 data_time: 0.0401 memory: 4652 grad_norm: 3.7062 loss: 3.7536 loss_cls: 2.5167 loss_bbox: 1.2369 +2024/10/30 13:07:04 - mmengine - INFO - Epoch(train) [96][1250/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:57:44 time: 0.4318 data_time: 0.0536 memory: 4652 grad_norm: 3.6135 loss: 3.8442 loss_cls: 2.5978 loss_bbox: 1.2464 +2024/10/30 13:07:27 - mmengine - INFO - Epoch(train) [96][1300/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:57:23 time: 0.4524 data_time: 0.0623 memory: 4652 grad_norm: 3.4830 loss: 3.7739 loss_cls: 2.5496 loss_bbox: 1.2243 +2024/10/30 13:07:49 - mmengine - INFO - Epoch(train) [96][1350/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:57:02 time: 0.4336 data_time: 0.0398 memory: 4652 grad_norm: 3.5806 loss: 3.7330 loss_cls: 2.4967 loss_bbox: 1.2363 +2024/10/30 13:08:10 - mmengine - INFO - Epoch(train) [96][1400/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:56:40 time: 0.4305 data_time: 0.0399 memory: 4652 grad_norm: 3.4849 loss: 3.9063 loss_cls: 2.5962 loss_bbox: 1.3101 +2024/10/30 13:08:31 - mmengine - INFO - Epoch(train) [96][1450/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:56:19 time: 0.4258 data_time: 0.0392 memory: 4652 grad_norm: 4.0789 loss: 3.8695 loss_cls: 2.5894 loss_bbox: 1.2802 +2024/10/30 13:08:52 - mmengine - INFO - Epoch(train) [96][1500/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:55:57 time: 0.4196 data_time: 0.0471 memory: 4652 grad_norm: 3.3482 loss: 3.8410 loss_cls: 2.5650 loss_bbox: 1.2760 +2024/10/30 13:09:14 - mmengine - INFO - Epoch(train) [96][1550/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:55:36 time: 0.4366 data_time: 0.0454 memory: 4652 grad_norm: 3.7884 loss: 3.7708 loss_cls: 2.5402 loss_bbox: 1.2306 +2024/10/30 13:09:35 - mmengine - INFO - Epoch(train) [96][1600/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:55:14 time: 0.4220 data_time: 0.0394 memory: 4652 grad_norm: 3.9692 loss: 3.9896 loss_cls: 2.6101 loss_bbox: 1.3795 +2024/10/30 13:09:57 - mmengine - INFO - Epoch(train) [96][1650/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:54:53 time: 0.4317 data_time: 0.0395 memory: 4652 grad_norm: 3.7701 loss: 3.8312 loss_cls: 2.5686 loss_bbox: 1.2626 +2024/10/30 13:10:18 - mmengine - INFO - Epoch(train) [96][1700/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:54:31 time: 0.4213 data_time: 0.0400 memory: 4652 grad_norm: 3.8859 loss: 3.7681 loss_cls: 2.5289 loss_bbox: 1.2392 +2024/10/30 13:10:39 - mmengine - INFO - Epoch(train) [96][1750/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:54:09 time: 0.4144 data_time: 0.0439 memory: 4652 grad_norm: 3.6614 loss: 3.8133 loss_cls: 2.5460 loss_bbox: 1.2673 +2024/10/30 13:11:00 - mmengine - INFO - Epoch(train) [96][1800/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:53:48 time: 0.4216 data_time: 0.0384 memory: 4652 grad_norm: 3.6809 loss: 3.8388 loss_cls: 2.5579 loss_bbox: 1.2809 +2024/10/30 13:11:21 - mmengine - INFO - Epoch(train) [96][1850/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:53:26 time: 0.4254 data_time: 0.0453 memory: 4652 grad_norm: 3.9850 loss: 3.7833 loss_cls: 2.5340 loss_bbox: 1.2493 +2024/10/30 13:11:30 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 13:11:43 - mmengine - INFO - Epoch(train) [96][1900/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:53:05 time: 0.4298 data_time: 0.0394 memory: 4652 grad_norm: 3.9465 loss: 3.8184 loss_cls: 2.5669 loss_bbox: 1.2515 +2024/10/30 13:12:05 - mmengine - INFO - Epoch(train) [96][1950/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:52:43 time: 0.4384 data_time: 0.0579 memory: 4652 grad_norm: 3.9338 loss: 3.8462 loss_cls: 2.5630 loss_bbox: 1.2832 +2024/10/30 13:12:27 - mmengine - INFO - Epoch(train) [96][2000/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:52:22 time: 0.4392 data_time: 0.0664 memory: 4652 grad_norm: 4.1534 loss: 3.7720 loss_cls: 2.5416 loss_bbox: 1.2304 +2024/10/30 13:12:48 - mmengine - INFO - Epoch(train) [96][2050/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:52:01 time: 0.4320 data_time: 0.0410 memory: 4652 grad_norm: 3.5773 loss: 3.8627 loss_cls: 2.5798 loss_bbox: 1.2829 +2024/10/30 13:13:09 - mmengine - INFO - Epoch(train) [96][2100/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:51:39 time: 0.4121 data_time: 0.0432 memory: 4652 grad_norm: 3.5512 loss: 3.9265 loss_cls: 2.5978 loss_bbox: 1.3287 +2024/10/30 13:13:31 - mmengine - INFO - Epoch(train) [96][2150/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:51:17 time: 0.4416 data_time: 0.0462 memory: 4652 grad_norm: 3.4839 loss: 3.9526 loss_cls: 2.5818 loss_bbox: 1.3708 +2024/10/30 13:13:52 - mmengine - INFO - Epoch(train) [96][2200/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:50:56 time: 0.4134 data_time: 0.0410 memory: 4652 grad_norm: 3.6172 loss: 3.7323 loss_cls: 2.5020 loss_bbox: 1.2303 +2024/10/30 13:14:13 - mmengine - INFO - Epoch(train) [96][2250/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:50:34 time: 0.4292 data_time: 0.0407 memory: 4652 grad_norm: 3.6442 loss: 3.8196 loss_cls: 2.5346 loss_bbox: 1.2850 +2024/10/30 13:14:35 - mmengine - INFO - Epoch(train) [96][2300/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:50:13 time: 0.4272 data_time: 0.0442 memory: 4652 grad_norm: 3.7986 loss: 3.8414 loss_cls: 2.5780 loss_bbox: 1.2634 +2024/10/30 13:14:56 - mmengine - INFO - Epoch(train) [96][2350/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:49:51 time: 0.4172 data_time: 0.0520 memory: 4652 grad_norm: 3.6092 loss: 3.8168 loss_cls: 2.5427 loss_bbox: 1.2741 +2024/10/30 13:15:18 - mmengine - INFO - Epoch(train) [96][2400/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:49:30 time: 0.4463 data_time: 0.0415 memory: 4652 grad_norm: 3.9464 loss: 3.8475 loss_cls: 2.5588 loss_bbox: 1.2888 +2024/10/30 13:15:39 - mmengine - INFO - Epoch(train) [96][2450/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:49:08 time: 0.4247 data_time: 0.0539 memory: 4652 grad_norm: 3.5313 loss: 3.7986 loss_cls: 2.5602 loss_bbox: 1.2384 +2024/10/30 13:16:01 - mmengine - INFO - Epoch(train) [96][2500/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:48:47 time: 0.4261 data_time: 0.0411 memory: 4652 grad_norm: 3.6742 loss: 3.8087 loss_cls: 2.5257 loss_bbox: 1.2830 +2024/10/30 13:16:22 - mmengine - INFO - Epoch(train) [96][2550/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:48:25 time: 0.4239 data_time: 0.0482 memory: 4652 grad_norm: 3.5773 loss: 3.8206 loss_cls: 2.5309 loss_bbox: 1.2897 +2024/10/30 13:16:42 - mmengine - INFO - Epoch(train) [96][2600/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:48:04 time: 0.4112 data_time: 0.0434 memory: 4652 grad_norm: 3.7778 loss: 3.8707 loss_cls: 2.5680 loss_bbox: 1.3027 +2024/10/30 13:17:04 - mmengine - INFO - Epoch(train) [96][2650/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:47:42 time: 0.4316 data_time: 0.0377 memory: 4652 grad_norm: 4.0602 loss: 3.8511 loss_cls: 2.5813 loss_bbox: 1.2697 +2024/10/30 13:17:26 - mmengine - INFO - Epoch(train) [96][2700/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:47:21 time: 0.4479 data_time: 0.0834 memory: 4652 grad_norm: 3.6954 loss: 3.8504 loss_cls: 2.5746 loss_bbox: 1.2758 +2024/10/30 13:17:48 - mmengine - INFO - Epoch(train) [96][2750/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:46:59 time: 0.4287 data_time: 0.0419 memory: 4652 grad_norm: 3.4555 loss: 3.8384 loss_cls: 2.5547 loss_bbox: 1.2837 +2024/10/30 13:18:09 - mmengine - INFO - Epoch(train) [96][2800/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:46:38 time: 0.4249 data_time: 0.0426 memory: 4652 grad_norm: 3.6670 loss: 3.7934 loss_cls: 2.5370 loss_bbox: 1.2564 +2024/10/30 13:18:30 - mmengine - INFO - Epoch(train) [96][2850/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:46:16 time: 0.4113 data_time: 0.0370 memory: 4652 grad_norm: 3.9454 loss: 3.8452 loss_cls: 2.5560 loss_bbox: 1.2892 +2024/10/30 13:18:39 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 13:18:52 - mmengine - INFO - Epoch(train) [96][2900/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:45:55 time: 0.4446 data_time: 0.0374 memory: 4652 grad_norm: 3.8747 loss: 3.8852 loss_cls: 2.6021 loss_bbox: 1.2832 +2024/10/30 13:19:13 - mmengine - INFO - Epoch(train) [96][2950/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:45:33 time: 0.4115 data_time: 0.0384 memory: 4652 grad_norm: 3.8464 loss: 3.7526 loss_cls: 2.5092 loss_bbox: 1.2433 +2024/10/30 13:19:35 - mmengine - INFO - Epoch(train) [96][3000/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:45:12 time: 0.4412 data_time: 0.0369 memory: 4652 grad_norm: 3.4975 loss: 3.7908 loss_cls: 2.5403 loss_bbox: 1.2505 +2024/10/30 13:19:55 - mmengine - INFO - Epoch(train) [96][3050/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 8:44:50 time: 0.4090 data_time: 0.0440 memory: 4652 grad_norm: 4.0674 loss: 3.8718 loss_cls: 2.5776 loss_bbox: 1.2942 +2024/10/30 13:19:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 13:19:57 - mmengine - INFO - Saving checkpoint at 96 epochs +2024/10/30 13:20:28 - mmengine - INFO - Epoch(train) [97][ 50/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:44:27 time: 0.4367 data_time: 0.0551 memory: 4652 grad_norm: 3.6776 loss: 3.8133 loss_cls: 2.5321 loss_bbox: 1.2812 +2024/10/30 13:20:49 - mmengine - INFO - Epoch(train) [97][ 100/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:44:05 time: 0.4311 data_time: 0.0385 memory: 4652 grad_norm: 3.5711 loss: 3.7826 loss_cls: 2.5120 loss_bbox: 1.2706 +2024/10/30 13:21:11 - mmengine - INFO - Epoch(train) [97][ 150/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:43:44 time: 0.4379 data_time: 0.0598 memory: 4652 grad_norm: 3.6294 loss: 3.8272 loss_cls: 2.5460 loss_bbox: 1.2812 +2024/10/30 13:21:33 - mmengine - INFO - Epoch(train) [97][ 200/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:43:23 time: 0.4367 data_time: 0.0379 memory: 4652 grad_norm: 3.6414 loss: 3.7859 loss_cls: 2.5336 loss_bbox: 1.2524 +2024/10/30 13:21:54 - mmengine - INFO - Epoch(train) [97][ 250/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:43:01 time: 0.4108 data_time: 0.0364 memory: 4652 grad_norm: 3.7476 loss: 3.7013 loss_cls: 2.4708 loss_bbox: 1.2305 +2024/10/30 13:22:15 - mmengine - INFO - Epoch(train) [97][ 300/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:42:39 time: 0.4330 data_time: 0.0460 memory: 4652 grad_norm: 3.4379 loss: 3.7519 loss_cls: 2.5124 loss_bbox: 1.2395 +2024/10/30 13:22:37 - mmengine - INFO - Epoch(train) [97][ 350/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:42:18 time: 0.4301 data_time: 0.0494 memory: 4652 grad_norm: 3.8451 loss: 3.8301 loss_cls: 2.5348 loss_bbox: 1.2954 +2024/10/30 13:22:57 - mmengine - INFO - Epoch(train) [97][ 400/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:41:56 time: 0.4062 data_time: 0.0386 memory: 4652 grad_norm: 3.6281 loss: 3.8238 loss_cls: 2.5471 loss_bbox: 1.2767 +2024/10/30 13:23:19 - mmengine - INFO - Epoch(train) [97][ 450/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:41:35 time: 0.4350 data_time: 0.0383 memory: 4652 grad_norm: 3.9435 loss: 3.7968 loss_cls: 2.5061 loss_bbox: 1.2907 +2024/10/30 13:23:40 - mmengine - INFO - Epoch(train) [97][ 500/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:41:13 time: 0.4281 data_time: 0.0450 memory: 4652 grad_norm: 3.4390 loss: 3.7402 loss_cls: 2.4819 loss_bbox: 1.2583 +2024/10/30 13:24:02 - mmengine - INFO - Epoch(train) [97][ 550/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:40:52 time: 0.4290 data_time: 0.0382 memory: 4652 grad_norm: 3.5782 loss: 3.7569 loss_cls: 2.5145 loss_bbox: 1.2425 +2024/10/30 13:24:26 - mmengine - INFO - Epoch(train) [97][ 600/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:40:31 time: 0.4848 data_time: 0.0982 memory: 4652 grad_norm: 3.7539 loss: 3.8356 loss_cls: 2.5754 loss_bbox: 1.2601 +2024/10/30 13:24:48 - mmengine - INFO - Epoch(train) [97][ 650/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:40:09 time: 0.4256 data_time: 0.0531 memory: 4652 grad_norm: 3.5034 loss: 3.8264 loss_cls: 2.5671 loss_bbox: 1.2594 +2024/10/30 13:25:10 - mmengine - INFO - Epoch(train) [97][ 700/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:39:48 time: 0.4453 data_time: 0.0377 memory: 4652 grad_norm: 3.4116 loss: 3.7324 loss_cls: 2.5174 loss_bbox: 1.2151 +2024/10/30 13:25:31 - mmengine - INFO - Epoch(train) [97][ 750/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:39:27 time: 0.4210 data_time: 0.0443 memory: 4652 grad_norm: 3.7898 loss: 3.7933 loss_cls: 2.5306 loss_bbox: 1.2628 +2024/10/30 13:25:52 - mmengine - INFO - Epoch(train) [97][ 800/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:39:05 time: 0.4223 data_time: 0.0395 memory: 4652 grad_norm: 4.0473 loss: 3.6769 loss_cls: 2.4652 loss_bbox: 1.2117 +2024/10/30 13:25:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 13:26:13 - mmengine - INFO - Epoch(train) [97][ 850/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:38:43 time: 0.4147 data_time: 0.0378 memory: 4652 grad_norm: 3.9139 loss: 3.7822 loss_cls: 2.5034 loss_bbox: 1.2788 +2024/10/30 13:26:33 - mmengine - INFO - Epoch(train) [97][ 900/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:38:22 time: 0.4090 data_time: 0.0434 memory: 4652 grad_norm: 3.8190 loss: 3.7763 loss_cls: 2.5244 loss_bbox: 1.2519 +2024/10/30 13:26:56 - mmengine - INFO - Epoch(train) [97][ 950/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:38:00 time: 0.4451 data_time: 0.0420 memory: 4652 grad_norm: 3.7332 loss: 3.8525 loss_cls: 2.5634 loss_bbox: 1.2891 +2024/10/30 13:27:17 - mmengine - INFO - Epoch(train) [97][1000/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:37:39 time: 0.4244 data_time: 0.0384 memory: 4652 grad_norm: 3.5502 loss: 3.7840 loss_cls: 2.5307 loss_bbox: 1.2534 +2024/10/30 13:27:38 - mmengine - INFO - Epoch(train) [97][1050/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:37:17 time: 0.4302 data_time: 0.0382 memory: 4652 grad_norm: 3.3658 loss: 3.7719 loss_cls: 2.5350 loss_bbox: 1.2369 +2024/10/30 13:28:00 - mmengine - INFO - Epoch(train) [97][1100/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:36:56 time: 0.4273 data_time: 0.0442 memory: 4652 grad_norm: 3.6717 loss: 3.7866 loss_cls: 2.5201 loss_bbox: 1.2665 +2024/10/30 13:28:21 - mmengine - INFO - Epoch(train) [97][1150/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:36:34 time: 0.4234 data_time: 0.0431 memory: 4652 grad_norm: 3.7682 loss: 3.7138 loss_cls: 2.5040 loss_bbox: 1.2098 +2024/10/30 13:28:43 - mmengine - INFO - Epoch(train) [97][1200/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:36:13 time: 0.4360 data_time: 0.0416 memory: 4652 grad_norm: 3.6565 loss: 3.7960 loss_cls: 2.5607 loss_bbox: 1.2352 +2024/10/30 13:29:04 - mmengine - INFO - Epoch(train) [97][1250/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:35:51 time: 0.4174 data_time: 0.0407 memory: 4652 grad_norm: 3.7170 loss: 3.8392 loss_cls: 2.5899 loss_bbox: 1.2493 +2024/10/30 13:29:27 - mmengine - INFO - Epoch(train) [97][1300/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:35:30 time: 0.4699 data_time: 0.0677 memory: 4652 grad_norm: 3.7271 loss: 3.6998 loss_cls: 2.4667 loss_bbox: 1.2331 +2024/10/30 13:29:49 - mmengine - INFO - Epoch(train) [97][1350/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:35:09 time: 0.4289 data_time: 0.0456 memory: 4652 grad_norm: 3.6297 loss: 3.7838 loss_cls: 2.5397 loss_bbox: 1.2441 +2024/10/30 13:30:10 - mmengine - INFO - Epoch(train) [97][1400/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:34:47 time: 0.4243 data_time: 0.0404 memory: 4652 grad_norm: 3.8374 loss: 3.7781 loss_cls: 2.5289 loss_bbox: 1.2492 +2024/10/30 13:30:32 - mmengine - INFO - Epoch(train) [97][1450/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:34:26 time: 0.4498 data_time: 0.0405 memory: 4652 grad_norm: 3.8890 loss: 3.7826 loss_cls: 2.5489 loss_bbox: 1.2337 +2024/10/30 13:30:53 - mmengine - INFO - Epoch(train) [97][1500/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:34:04 time: 0.4215 data_time: 0.0383 memory: 4652 grad_norm: 3.9451 loss: 3.8337 loss_cls: 2.5402 loss_bbox: 1.2935 +2024/10/30 13:31:16 - mmengine - INFO - Epoch(train) [97][1550/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:33:43 time: 0.4475 data_time: 0.0410 memory: 4652 grad_norm: 3.6011 loss: 3.7694 loss_cls: 2.5017 loss_bbox: 1.2677 +2024/10/30 13:31:38 - mmengine - INFO - Epoch(train) [97][1600/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:33:22 time: 0.4469 data_time: 0.0460 memory: 4652 grad_norm: 3.4279 loss: 3.7997 loss_cls: 2.5318 loss_bbox: 1.2678 +2024/10/30 13:32:00 - mmengine - INFO - Epoch(train) [97][1650/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:33:00 time: 0.4394 data_time: 0.0399 memory: 4652 grad_norm: 3.7048 loss: 3.9277 loss_cls: 2.6260 loss_bbox: 1.3017 +2024/10/30 13:32:22 - mmengine - INFO - Epoch(train) [97][1700/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:32:39 time: 0.4441 data_time: 0.0388 memory: 4652 grad_norm: 4.0061 loss: 3.9034 loss_cls: 2.6114 loss_bbox: 1.2920 +2024/10/30 13:32:43 - mmengine - INFO - Epoch(train) [97][1750/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:32:18 time: 0.4200 data_time: 0.0379 memory: 4652 grad_norm: 3.7818 loss: 3.7160 loss_cls: 2.4913 loss_bbox: 1.2248 +2024/10/30 13:33:06 - mmengine - INFO - Epoch(train) [97][1800/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:31:56 time: 0.4489 data_time: 0.0366 memory: 4652 grad_norm: 3.5875 loss: 3.7597 loss_cls: 2.5129 loss_bbox: 1.2469 +2024/10/30 13:33:14 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 13:33:28 - mmengine - INFO - Epoch(train) [97][1850/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:31:35 time: 0.4425 data_time: 0.0413 memory: 4652 grad_norm: 3.8426 loss: 3.8611 loss_cls: 2.5634 loss_bbox: 1.2976 +2024/10/30 13:33:49 - mmengine - INFO - Epoch(train) [97][1900/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:31:14 time: 0.4278 data_time: 0.0372 memory: 4652 grad_norm: 3.7091 loss: 3.7824 loss_cls: 2.5361 loss_bbox: 1.2463 +2024/10/30 13:34:12 - mmengine - INFO - Epoch(train) [97][1950/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:30:52 time: 0.4459 data_time: 0.0363 memory: 4652 grad_norm: 3.9177 loss: 3.7725 loss_cls: 2.5269 loss_bbox: 1.2456 +2024/10/30 13:34:33 - mmengine - INFO - Epoch(train) [97][2000/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:30:31 time: 0.4177 data_time: 0.0372 memory: 4652 grad_norm: 3.6437 loss: 3.8498 loss_cls: 2.5242 loss_bbox: 1.3256 +2024/10/30 13:34:54 - mmengine - INFO - Epoch(train) [97][2050/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:30:09 time: 0.4355 data_time: 0.0382 memory: 4652 grad_norm: 3.6601 loss: 3.7907 loss_cls: 2.5227 loss_bbox: 1.2680 +2024/10/30 13:35:16 - mmengine - INFO - Epoch(train) [97][2100/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:29:48 time: 0.4267 data_time: 0.0378 memory: 4652 grad_norm: 3.6661 loss: 3.7813 loss_cls: 2.5285 loss_bbox: 1.2528 +2024/10/30 13:35:38 - mmengine - INFO - Epoch(train) [97][2150/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:29:26 time: 0.4354 data_time: 0.0471 memory: 4652 grad_norm: 3.7433 loss: 3.7619 loss_cls: 2.5114 loss_bbox: 1.2504 +2024/10/30 13:36:00 - mmengine - INFO - Epoch(train) [97][2200/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:29:05 time: 0.4404 data_time: 0.0431 memory: 4652 grad_norm: 3.7198 loss: 3.7899 loss_cls: 2.5356 loss_bbox: 1.2543 +2024/10/30 13:36:21 - mmengine - INFO - Epoch(train) [97][2250/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:28:43 time: 0.4200 data_time: 0.0410 memory: 4652 grad_norm: 3.7751 loss: 3.7648 loss_cls: 2.5260 loss_bbox: 1.2387 +2024/10/30 13:36:42 - mmengine - INFO - Epoch(train) [97][2300/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:28:22 time: 0.4305 data_time: 0.0387 memory: 4652 grad_norm: 3.6910 loss: 3.7706 loss_cls: 2.5080 loss_bbox: 1.2626 +2024/10/30 13:37:04 - mmengine - INFO - Epoch(train) [97][2350/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:28:00 time: 0.4301 data_time: 0.0476 memory: 4652 grad_norm: 3.8191 loss: 3.8011 loss_cls: 2.5497 loss_bbox: 1.2515 +2024/10/30 13:37:27 - mmengine - INFO - Epoch(train) [97][2400/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:27:39 time: 0.4623 data_time: 0.0756 memory: 4652 grad_norm: 3.8928 loss: 3.7180 loss_cls: 2.4805 loss_bbox: 1.2375 +2024/10/30 13:37:49 - mmengine - INFO - Epoch(train) [97][2450/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:27:18 time: 0.4424 data_time: 0.0458 memory: 4652 grad_norm: 3.6065 loss: 3.7451 loss_cls: 2.5179 loss_bbox: 1.2271 +2024/10/30 13:38:10 - mmengine - INFO - Epoch(train) [97][2500/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:26:56 time: 0.4212 data_time: 0.0372 memory: 4652 grad_norm: 3.8035 loss: 3.7844 loss_cls: 2.5413 loss_bbox: 1.2431 +2024/10/30 13:38:32 - mmengine - INFO - Epoch(train) [97][2550/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:26:35 time: 0.4370 data_time: 0.0446 memory: 4652 grad_norm: 3.6072 loss: 3.7923 loss_cls: 2.5345 loss_bbox: 1.2578 +2024/10/30 13:38:54 - mmengine - INFO - Epoch(train) [97][2600/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:26:14 time: 0.4349 data_time: 0.0451 memory: 4652 grad_norm: 3.7346 loss: 3.7525 loss_cls: 2.5067 loss_bbox: 1.2458 +2024/10/30 13:39:16 - mmengine - INFO - Epoch(train) [97][2650/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:25:52 time: 0.4392 data_time: 0.0472 memory: 4652 grad_norm: 3.5348 loss: 3.7149 loss_cls: 2.4965 loss_bbox: 1.2184 +2024/10/30 13:39:38 - mmengine - INFO - Epoch(train) [97][2700/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:25:31 time: 0.4459 data_time: 0.0391 memory: 4652 grad_norm: 3.7506 loss: 3.7337 loss_cls: 2.5190 loss_bbox: 1.2147 +2024/10/30 13:40:00 - mmengine - INFO - Epoch(train) [97][2750/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:25:09 time: 0.4297 data_time: 0.0439 memory: 4652 grad_norm: 3.7514 loss: 3.7972 loss_cls: 2.5153 loss_bbox: 1.2819 +2024/10/30 13:40:22 - mmengine - INFO - Epoch(train) [97][2800/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:24:48 time: 0.4396 data_time: 0.0484 memory: 4652 grad_norm: 3.5565 loss: 3.7534 loss_cls: 2.4991 loss_bbox: 1.2544 +2024/10/30 13:40:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 13:40:43 - mmengine - INFO - Epoch(train) [97][2850/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:24:27 time: 0.4355 data_time: 0.0423 memory: 4652 grad_norm: 3.5750 loss: 3.7667 loss_cls: 2.5195 loss_bbox: 1.2473 +2024/10/30 13:41:05 - mmengine - INFO - Epoch(train) [97][2900/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:24:05 time: 0.4280 data_time: 0.0393 memory: 4652 grad_norm: 4.0371 loss: 3.8119 loss_cls: 2.5524 loss_bbox: 1.2596 +2024/10/30 13:41:29 - mmengine - INFO - Epoch(train) [97][2950/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:23:44 time: 0.4792 data_time: 0.0862 memory: 4652 grad_norm: 3.6927 loss: 3.8332 loss_cls: 2.5662 loss_bbox: 1.2670 +2024/10/30 13:41:50 - mmengine - INFO - Epoch(train) [97][3000/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:23:23 time: 0.4224 data_time: 0.0412 memory: 4652 grad_norm: 3.4003 loss: 3.7709 loss_cls: 2.5179 loss_bbox: 1.2530 +2024/10/30 13:42:12 - mmengine - INFO - Epoch(train) [97][3050/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 8:23:01 time: 0.4361 data_time: 0.0419 memory: 4652 grad_norm: 3.8477 loss: 3.8379 loss_cls: 2.5559 loss_bbox: 1.2820 +2024/10/30 13:42:13 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 13:42:13 - mmengine - INFO - Saving checkpoint at 97 epochs +2024/10/30 13:42:40 - mmengine - INFO - Epoch(train) [98][ 50/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:22:38 time: 0.4480 data_time: 0.0638 memory: 4652 grad_norm: 3.5501 loss: 3.8769 loss_cls: 2.5613 loss_bbox: 1.3156 +2024/10/30 13:43:00 - mmengine - INFO - Epoch(train) [98][ 100/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:22:17 time: 0.4093 data_time: 0.0404 memory: 4652 grad_norm: 3.7685 loss: 3.6294 loss_cls: 2.4535 loss_bbox: 1.1760 +2024/10/30 13:43:22 - mmengine - INFO - Epoch(train) [98][ 150/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:21:55 time: 0.4300 data_time: 0.0392 memory: 4652 grad_norm: 3.8057 loss: 3.7684 loss_cls: 2.5219 loss_bbox: 1.2465 +2024/10/30 13:43:43 - mmengine - INFO - Epoch(train) [98][ 200/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:21:33 time: 0.4168 data_time: 0.0399 memory: 4652 grad_norm: 3.7747 loss: 3.7254 loss_cls: 2.4758 loss_bbox: 1.2496 +2024/10/30 13:44:04 - mmengine - INFO - Epoch(train) [98][ 250/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:21:12 time: 0.4196 data_time: 0.0395 memory: 4652 grad_norm: 3.9510 loss: 3.7361 loss_cls: 2.5097 loss_bbox: 1.2264 +2024/10/30 13:44:27 - mmengine - INFO - Epoch(train) [98][ 300/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:20:51 time: 0.4611 data_time: 0.0870 memory: 4652 grad_norm: 3.6922 loss: 3.7260 loss_cls: 2.4627 loss_bbox: 1.2633 +2024/10/30 13:44:48 - mmengine - INFO - Epoch(train) [98][ 350/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:20:29 time: 0.4262 data_time: 0.0523 memory: 4652 grad_norm: 3.5652 loss: 3.8276 loss_cls: 2.5479 loss_bbox: 1.2796 +2024/10/30 13:45:10 - mmengine - INFO - Epoch(train) [98][ 400/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:20:08 time: 0.4322 data_time: 0.0478 memory: 4652 grad_norm: 3.8422 loss: 3.7888 loss_cls: 2.5182 loss_bbox: 1.2706 +2024/10/30 13:45:31 - mmengine - INFO - Epoch(train) [98][ 450/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:19:46 time: 0.4213 data_time: 0.0414 memory: 4652 grad_norm: 3.8853 loss: 3.8258 loss_cls: 2.5340 loss_bbox: 1.2918 +2024/10/30 13:45:53 - mmengine - INFO - Epoch(train) [98][ 500/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:19:25 time: 0.4329 data_time: 0.0407 memory: 4652 grad_norm: 3.8837 loss: 3.7818 loss_cls: 2.5382 loss_bbox: 1.2436 +2024/10/30 13:46:14 - mmengine - INFO - Epoch(train) [98][ 550/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:19:03 time: 0.4298 data_time: 0.0426 memory: 4652 grad_norm: 3.5761 loss: 3.6967 loss_cls: 2.4677 loss_bbox: 1.2290 +2024/10/30 13:46:36 - mmengine - INFO - Epoch(train) [98][ 600/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:18:42 time: 0.4353 data_time: 0.0386 memory: 4652 grad_norm: 3.6536 loss: 3.9625 loss_cls: 2.6219 loss_bbox: 1.3406 +2024/10/30 13:46:58 - mmengine - INFO - Epoch(train) [98][ 650/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:18:21 time: 0.4460 data_time: 0.0418 memory: 4652 grad_norm: 3.8224 loss: 3.6814 loss_cls: 2.4842 loss_bbox: 1.1972 +2024/10/30 13:47:20 - mmengine - INFO - Epoch(train) [98][ 700/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:17:59 time: 0.4247 data_time: 0.0453 memory: 4652 grad_norm: 3.6113 loss: 3.7840 loss_cls: 2.5276 loss_bbox: 1.2564 +2024/10/30 13:47:41 - mmengine - INFO - Epoch(train) [98][ 750/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:17:38 time: 0.4375 data_time: 0.0471 memory: 4652 grad_norm: 3.6705 loss: 3.7694 loss_cls: 2.5408 loss_bbox: 1.2286 +2024/10/30 13:47:47 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 13:48:02 - mmengine - INFO - Epoch(train) [98][ 800/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:17:16 time: 0.4203 data_time: 0.0375 memory: 4652 grad_norm: 3.7623 loss: 3.6421 loss_cls: 2.4401 loss_bbox: 1.2020 +2024/10/30 13:48:26 - mmengine - INFO - Epoch(train) [98][ 850/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:16:55 time: 0.4745 data_time: 0.0966 memory: 4652 grad_norm: 3.8759 loss: 3.6903 loss_cls: 2.4653 loss_bbox: 1.2251 +2024/10/30 13:48:48 - mmengine - INFO - Epoch(train) [98][ 900/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:16:34 time: 0.4311 data_time: 0.0366 memory: 4652 grad_norm: 3.6722 loss: 3.6566 loss_cls: 2.4664 loss_bbox: 1.1902 +2024/10/30 13:49:09 - mmengine - INFO - Epoch(train) [98][ 950/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:16:12 time: 0.4233 data_time: 0.0406 memory: 4652 grad_norm: 4.1166 loss: 3.7927 loss_cls: 2.5355 loss_bbox: 1.2572 +2024/10/30 13:49:31 - mmengine - INFO - Epoch(train) [98][1000/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:15:51 time: 0.4337 data_time: 0.0450 memory: 4652 grad_norm: 4.0993 loss: 3.7528 loss_cls: 2.5284 loss_bbox: 1.2244 +2024/10/30 13:49:51 - mmengine - INFO - Epoch(train) [98][1050/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:15:29 time: 0.4140 data_time: 0.0359 memory: 4652 grad_norm: 3.5202 loss: 3.7072 loss_cls: 2.4811 loss_bbox: 1.2261 +2024/10/30 13:50:12 - mmengine - INFO - Epoch(train) [98][1100/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:15:07 time: 0.4121 data_time: 0.0352 memory: 4652 grad_norm: 3.6772 loss: 3.8103 loss_cls: 2.5394 loss_bbox: 1.2710 +2024/10/30 13:50:34 - mmengine - INFO - Epoch(train) [98][1150/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:14:46 time: 0.4383 data_time: 0.0362 memory: 4652 grad_norm: 3.8988 loss: 3.7197 loss_cls: 2.4845 loss_bbox: 1.2352 +2024/10/30 13:50:55 - mmengine - INFO - Epoch(train) [98][1200/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:14:24 time: 0.4200 data_time: 0.0365 memory: 4652 grad_norm: 3.8572 loss: 3.7579 loss_cls: 2.4993 loss_bbox: 1.2587 +2024/10/30 13:51:16 - mmengine - INFO - Epoch(train) [98][1250/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:14:03 time: 0.4277 data_time: 0.0401 memory: 4652 grad_norm: 3.5752 loss: 3.7457 loss_cls: 2.5260 loss_bbox: 1.2196 +2024/10/30 13:51:37 - mmengine - INFO - Epoch(train) [98][1300/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:13:41 time: 0.4205 data_time: 0.0401 memory: 4652 grad_norm: 3.6561 loss: 3.6902 loss_cls: 2.4777 loss_bbox: 1.2125 +2024/10/30 13:51:59 - mmengine - INFO - Epoch(train) [98][1350/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:13:20 time: 0.4305 data_time: 0.0510 memory: 4652 grad_norm: 3.9712 loss: 3.7466 loss_cls: 2.4987 loss_bbox: 1.2479 +2024/10/30 13:52:20 - mmengine - INFO - Epoch(train) [98][1400/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:12:58 time: 0.4258 data_time: 0.0362 memory: 4652 grad_norm: 3.6413 loss: 3.7478 loss_cls: 2.4894 loss_bbox: 1.2584 +2024/10/30 13:52:41 - mmengine - INFO - Epoch(train) [98][1450/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:12:37 time: 0.4176 data_time: 0.0374 memory: 4652 grad_norm: 3.8355 loss: 3.8118 loss_cls: 2.5185 loss_bbox: 1.2934 +2024/10/30 13:53:03 - mmengine - INFO - Epoch(train) [98][1500/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:12:15 time: 0.4311 data_time: 0.0500 memory: 4652 grad_norm: 3.7621 loss: 3.7325 loss_cls: 2.5115 loss_bbox: 1.2210 +2024/10/30 13:53:27 - mmengine - INFO - Epoch(train) [98][1550/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:11:54 time: 0.4906 data_time: 0.1009 memory: 4652 grad_norm: 3.7216 loss: 3.8176 loss_cls: 2.5319 loss_bbox: 1.2857 +2024/10/30 13:53:48 - mmengine - INFO - Epoch(train) [98][1600/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:11:33 time: 0.4090 data_time: 0.0363 memory: 4652 grad_norm: 3.8441 loss: 3.7534 loss_cls: 2.4946 loss_bbox: 1.2588 +2024/10/30 13:54:09 - mmengine - INFO - Epoch(train) [98][1650/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:11:11 time: 0.4296 data_time: 0.0374 memory: 4652 grad_norm: 3.4489 loss: 3.7410 loss_cls: 2.5171 loss_bbox: 1.2239 +2024/10/30 13:54:30 - mmengine - INFO - Epoch(train) [98][1700/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:10:49 time: 0.4193 data_time: 0.0382 memory: 4652 grad_norm: 3.5092 loss: 3.8484 loss_cls: 2.5788 loss_bbox: 1.2696 +2024/10/30 13:54:52 - mmengine - INFO - Epoch(train) [98][1750/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:10:28 time: 0.4279 data_time: 0.0387 memory: 4652 grad_norm: 3.6313 loss: 3.7224 loss_cls: 2.4993 loss_bbox: 1.2231 +2024/10/30 13:54:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 13:55:13 - mmengine - INFO - Epoch(train) [98][1800/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:10:07 time: 0.4304 data_time: 0.0397 memory: 4652 grad_norm: 3.6743 loss: 3.7995 loss_cls: 2.5370 loss_bbox: 1.2625 +2024/10/30 13:55:34 - mmengine - INFO - Epoch(train) [98][1850/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:09:45 time: 0.4137 data_time: 0.0398 memory: 4652 grad_norm: 3.5888 loss: 3.7518 loss_cls: 2.5006 loss_bbox: 1.2512 +2024/10/30 13:55:55 - mmengine - INFO - Epoch(train) [98][1900/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:09:23 time: 0.4263 data_time: 0.0369 memory: 4652 grad_norm: 3.7139 loss: 3.8566 loss_cls: 2.5402 loss_bbox: 1.3164 +2024/10/30 13:56:16 - mmengine - INFO - Epoch(train) [98][1950/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:09:02 time: 0.4178 data_time: 0.0371 memory: 4652 grad_norm: 3.8197 loss: 3.8101 loss_cls: 2.5479 loss_bbox: 1.2622 +2024/10/30 13:56:38 - mmengine - INFO - Epoch(train) [98][2000/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:08:40 time: 0.4324 data_time: 0.0416 memory: 4652 grad_norm: 3.6727 loss: 3.7631 loss_cls: 2.5105 loss_bbox: 1.2525 +2024/10/30 13:57:00 - mmengine - INFO - Epoch(train) [98][2050/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:08:19 time: 0.4365 data_time: 0.0384 memory: 4652 grad_norm: 3.7123 loss: 3.8216 loss_cls: 2.5105 loss_bbox: 1.3112 +2024/10/30 13:57:21 - mmengine - INFO - Epoch(train) [98][2100/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:07:57 time: 0.4263 data_time: 0.0388 memory: 4652 grad_norm: 3.9290 loss: 3.6939 loss_cls: 2.4802 loss_bbox: 1.2138 +2024/10/30 13:57:43 - mmengine - INFO - Epoch(train) [98][2150/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:07:36 time: 0.4487 data_time: 0.0449 memory: 4652 grad_norm: 3.9758 loss: 3.7296 loss_cls: 2.5043 loss_bbox: 1.2253 +2024/10/30 13:58:05 - mmengine - INFO - Epoch(train) [98][2200/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:07:15 time: 0.4339 data_time: 0.0366 memory: 4652 grad_norm: 3.9583 loss: 3.8280 loss_cls: 2.5604 loss_bbox: 1.2676 +2024/10/30 13:58:28 - mmengine - INFO - Epoch(train) [98][2250/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:06:54 time: 0.4662 data_time: 0.0644 memory: 4652 grad_norm: 3.4658 loss: 3.7665 loss_cls: 2.5087 loss_bbox: 1.2578 +2024/10/30 13:58:50 - mmengine - INFO - Epoch(train) [98][2300/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:06:32 time: 0.4249 data_time: 0.0383 memory: 4652 grad_norm: 3.6947 loss: 3.8103 loss_cls: 2.5234 loss_bbox: 1.2869 +2024/10/30 13:59:12 - mmengine - INFO - Epoch(train) [98][2350/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:06:11 time: 0.4472 data_time: 0.0370 memory: 4652 grad_norm: 4.0453 loss: 3.6597 loss_cls: 2.4479 loss_bbox: 1.2118 +2024/10/30 13:59:34 - mmengine - INFO - Epoch(train) [98][2400/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:05:49 time: 0.4424 data_time: 0.0355 memory: 4652 grad_norm: 4.0981 loss: 3.7123 loss_cls: 2.4713 loss_bbox: 1.2409 +2024/10/30 13:59:56 - mmengine - INFO - Epoch(train) [98][2450/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:05:28 time: 0.4421 data_time: 0.0388 memory: 4652 grad_norm: 3.7074 loss: 3.8495 loss_cls: 2.5443 loss_bbox: 1.3053 +2024/10/30 14:00:19 - mmengine - INFO - Epoch(train) [98][2500/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:05:07 time: 0.4460 data_time: 0.0364 memory: 4652 grad_norm: 3.9125 loss: 3.8083 loss_cls: 2.5575 loss_bbox: 1.2508 +2024/10/30 14:00:40 - mmengine - INFO - Epoch(train) [98][2550/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:04:45 time: 0.4265 data_time: 0.0368 memory: 4652 grad_norm: 3.8037 loss: 3.7356 loss_cls: 2.4836 loss_bbox: 1.2520 +2024/10/30 14:01:02 - mmengine - INFO - Epoch(train) [98][2600/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:04:24 time: 0.4454 data_time: 0.0383 memory: 4652 grad_norm: 4.0023 loss: 3.7392 loss_cls: 2.4976 loss_bbox: 1.2416 +2024/10/30 14:01:27 - mmengine - INFO - Epoch(train) [98][2650/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:04:03 time: 0.4919 data_time: 0.1051 memory: 4652 grad_norm: 3.5675 loss: 3.7513 loss_cls: 2.5130 loss_bbox: 1.2383 +2024/10/30 14:01:48 - mmengine - INFO - Epoch(train) [98][2700/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:03:42 time: 0.4289 data_time: 0.0356 memory: 4652 grad_norm: 3.8717 loss: 3.7410 loss_cls: 2.5013 loss_bbox: 1.2397 +2024/10/30 14:02:10 - mmengine - INFO - Epoch(train) [98][2750/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:03:20 time: 0.4397 data_time: 0.0374 memory: 4652 grad_norm: 3.8338 loss: 3.8420 loss_cls: 2.5298 loss_bbox: 1.3122 +2024/10/30 14:02:16 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 14:02:31 - mmengine - INFO - Epoch(train) [98][2800/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:02:59 time: 0.4138 data_time: 0.0356 memory: 4652 grad_norm: 3.5352 loss: 3.7749 loss_cls: 2.5063 loss_bbox: 1.2686 +2024/10/30 14:02:53 - mmengine - INFO - Epoch(train) [98][2850/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:02:37 time: 0.4455 data_time: 0.0398 memory: 4652 grad_norm: 3.6142 loss: 3.8066 loss_cls: 2.5193 loss_bbox: 1.2873 +2024/10/30 14:03:15 - mmengine - INFO - Epoch(train) [98][2900/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:02:16 time: 0.4325 data_time: 0.0411 memory: 4652 grad_norm: 3.6769 loss: 3.7341 loss_cls: 2.4731 loss_bbox: 1.2610 +2024/10/30 14:03:36 - mmengine - INFO - Epoch(train) [98][2950/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:01:54 time: 0.4235 data_time: 0.0391 memory: 4652 grad_norm: 3.7710 loss: 3.5900 loss_cls: 2.4269 loss_bbox: 1.1631 +2024/10/30 14:03:58 - mmengine - INFO - Epoch(train) [98][3000/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:01:33 time: 0.4386 data_time: 0.0441 memory: 4652 grad_norm: 4.1744 loss: 3.7151 loss_cls: 2.5023 loss_bbox: 1.2128 +2024/10/30 14:04:19 - mmengine - INFO - Epoch(train) [98][3050/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 8:01:11 time: 0.4146 data_time: 0.0399 memory: 4652 grad_norm: 3.7749 loss: 3.7965 loss_cls: 2.5286 loss_bbox: 1.2679 +2024/10/30 14:04:21 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 14:04:21 - mmengine - INFO - Saving checkpoint at 98 epochs +2024/10/30 14:04:48 - mmengine - INFO - Epoch(train) [99][ 50/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 8:00:48 time: 0.4474 data_time: 0.0497 memory: 4652 grad_norm: 3.5659 loss: 3.6415 loss_cls: 2.4601 loss_bbox: 1.1814 +2024/10/30 14:05:09 - mmengine - INFO - Epoch(train) [99][ 100/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 8:00:27 time: 0.4181 data_time: 0.0364 memory: 4652 grad_norm: 3.7227 loss: 3.7145 loss_cls: 2.4974 loss_bbox: 1.2171 +2024/10/30 14:05:31 - mmengine - INFO - Epoch(train) [99][ 150/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 8:00:05 time: 0.4409 data_time: 0.0373 memory: 4652 grad_norm: 3.5635 loss: 3.7258 loss_cls: 2.4820 loss_bbox: 1.2438 +2024/10/30 14:05:53 - mmengine - INFO - Epoch(train) [99][ 200/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:59:44 time: 0.4301 data_time: 0.0469 memory: 4652 grad_norm: 3.8891 loss: 3.6601 loss_cls: 2.4735 loss_bbox: 1.1866 +2024/10/30 14:06:13 - mmengine - INFO - Epoch(train) [99][ 250/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:59:22 time: 0.4130 data_time: 0.0373 memory: 4652 grad_norm: 3.9210 loss: 3.7371 loss_cls: 2.4907 loss_bbox: 1.2465 +2024/10/30 14:06:35 - mmengine - INFO - Epoch(train) [99][ 300/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:59:01 time: 0.4299 data_time: 0.0363 memory: 4652 grad_norm: 3.8436 loss: 3.7157 loss_cls: 2.4933 loss_bbox: 1.2225 +2024/10/30 14:06:56 - mmengine - INFO - Epoch(train) [99][ 350/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:58:39 time: 0.4194 data_time: 0.0385 memory: 4652 grad_norm: 3.6165 loss: 3.6952 loss_cls: 2.4818 loss_bbox: 1.2134 +2024/10/30 14:07:17 - mmengine - INFO - Epoch(train) [99][ 400/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:58:18 time: 0.4340 data_time: 0.0381 memory: 4652 grad_norm: 3.6099 loss: 3.6521 loss_cls: 2.4265 loss_bbox: 1.2256 +2024/10/30 14:07:39 - mmengine - INFO - Epoch(train) [99][ 450/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:57:56 time: 0.4233 data_time: 0.0429 memory: 4652 grad_norm: 3.8929 loss: 3.7142 loss_cls: 2.4720 loss_bbox: 1.2422 +2024/10/30 14:08:00 - mmengine - INFO - Epoch(train) [99][ 500/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:57:34 time: 0.4199 data_time: 0.0376 memory: 4652 grad_norm: 4.0801 loss: 3.7698 loss_cls: 2.5127 loss_bbox: 1.2571 +2024/10/30 14:08:22 - mmengine - INFO - Epoch(train) [99][ 550/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:57:13 time: 0.4401 data_time: 0.0368 memory: 4652 grad_norm: 3.5559 loss: 3.7709 loss_cls: 2.5054 loss_bbox: 1.2654 +2024/10/30 14:08:42 - mmengine - INFO - Epoch(train) [99][ 600/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:56:51 time: 0.4095 data_time: 0.0380 memory: 4652 grad_norm: 3.9198 loss: 3.7261 loss_cls: 2.4686 loss_bbox: 1.2575 +2024/10/30 14:09:04 - mmengine - INFO - Epoch(train) [99][ 650/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:56:30 time: 0.4325 data_time: 0.0391 memory: 4652 grad_norm: 3.6874 loss: 3.7156 loss_cls: 2.4921 loss_bbox: 1.2236 +2024/10/30 14:09:26 - mmengine - INFO - Epoch(train) [99][ 700/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:56:09 time: 0.4459 data_time: 0.0596 memory: 4652 grad_norm: 3.8234 loss: 3.6998 loss_cls: 2.4630 loss_bbox: 1.2368 +2024/10/30 14:09:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 14:09:47 - mmengine - INFO - Epoch(train) [99][ 750/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:55:47 time: 0.4242 data_time: 0.0385 memory: 4652 grad_norm: 3.9967 loss: 3.7126 loss_cls: 2.4611 loss_bbox: 1.2514 +2024/10/30 14:10:09 - mmengine - INFO - Epoch(train) [99][ 800/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:55:26 time: 0.4276 data_time: 0.0394 memory: 4652 grad_norm: 3.9405 loss: 3.6993 loss_cls: 2.4475 loss_bbox: 1.2518 +2024/10/30 14:10:29 - mmengine - INFO - Epoch(train) [99][ 850/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:55:04 time: 0.4133 data_time: 0.0359 memory: 4652 grad_norm: 4.3840 loss: 3.7411 loss_cls: 2.4999 loss_bbox: 1.2412 +2024/10/30 14:10:51 - mmengine - INFO - Epoch(train) [99][ 900/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:54:43 time: 0.4356 data_time: 0.0372 memory: 4652 grad_norm: 3.9086 loss: 3.7814 loss_cls: 2.5256 loss_bbox: 1.2558 +2024/10/30 14:11:13 - mmengine - INFO - Epoch(train) [99][ 950/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:54:21 time: 0.4346 data_time: 0.0460 memory: 4652 grad_norm: 3.7699 loss: 3.6762 loss_cls: 2.4434 loss_bbox: 1.2328 +2024/10/30 14:11:34 - mmengine - INFO - Epoch(train) [99][1000/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:54:00 time: 0.4209 data_time: 0.0377 memory: 4652 grad_norm: 3.9157 loss: 3.7500 loss_cls: 2.5207 loss_bbox: 1.2293 +2024/10/30 14:11:56 - mmengine - INFO - Epoch(train) [99][1050/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:53:38 time: 0.4307 data_time: 0.0400 memory: 4652 grad_norm: 3.7746 loss: 3.7495 loss_cls: 2.5128 loss_bbox: 1.2367 +2024/10/30 14:12:17 - mmengine - INFO - Epoch(train) [99][1100/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:53:16 time: 0.4185 data_time: 0.0420 memory: 4652 grad_norm: 3.7705 loss: 3.7808 loss_cls: 2.5094 loss_bbox: 1.2713 +2024/10/30 14:12:39 - mmengine - INFO - Epoch(train) [99][1150/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:52:55 time: 0.4468 data_time: 0.0456 memory: 4652 grad_norm: 3.7688 loss: 3.7070 loss_cls: 2.4734 loss_bbox: 1.2335 +2024/10/30 14:13:00 - mmengine - INFO - Epoch(train) [99][1200/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:52:34 time: 0.4214 data_time: 0.0464 memory: 4652 grad_norm: 3.5109 loss: 3.8343 loss_cls: 2.5449 loss_bbox: 1.2895 +2024/10/30 14:13:22 - mmengine - INFO - Epoch(train) [99][1250/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:52:12 time: 0.4435 data_time: 0.0429 memory: 4652 grad_norm: 4.1602 loss: 3.6220 loss_cls: 2.4587 loss_bbox: 1.1634 +2024/10/30 14:13:44 - mmengine - INFO - Epoch(train) [99][1300/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:51:51 time: 0.4425 data_time: 0.0410 memory: 4652 grad_norm: 3.7832 loss: 3.6578 loss_cls: 2.4603 loss_bbox: 1.1975 +2024/10/30 14:14:06 - mmengine - INFO - Epoch(train) [99][1350/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:51:29 time: 0.4323 data_time: 0.0477 memory: 4652 grad_norm: 3.6109 loss: 3.6944 loss_cls: 2.4650 loss_bbox: 1.2294 +2024/10/30 14:14:28 - mmengine - INFO - Epoch(train) [99][1400/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:51:08 time: 0.4310 data_time: 0.0392 memory: 4652 grad_norm: 3.9674 loss: 3.6851 loss_cls: 2.4673 loss_bbox: 1.2178 +2024/10/30 14:14:49 - mmengine - INFO - Epoch(train) [99][1450/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:50:46 time: 0.4215 data_time: 0.0392 memory: 4652 grad_norm: 4.0047 loss: 3.6895 loss_cls: 2.4577 loss_bbox: 1.2318 +2024/10/30 14:15:10 - mmengine - INFO - Epoch(train) [99][1500/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:50:25 time: 0.4308 data_time: 0.0409 memory: 4652 grad_norm: 3.7696 loss: 3.7307 loss_cls: 2.4972 loss_bbox: 1.2335 +2024/10/30 14:15:32 - mmengine - INFO - Epoch(train) [99][1550/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:50:03 time: 0.4334 data_time: 0.0438 memory: 4652 grad_norm: 3.7253 loss: 3.6587 loss_cls: 2.4580 loss_bbox: 1.2008 +2024/10/30 14:15:53 - mmengine - INFO - Epoch(train) [99][1600/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:49:42 time: 0.4260 data_time: 0.0472 memory: 4652 grad_norm: 3.7447 loss: 3.6641 loss_cls: 2.4446 loss_bbox: 1.2195 +2024/10/30 14:16:15 - mmengine - INFO - Epoch(train) [99][1650/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:49:21 time: 0.4393 data_time: 0.0468 memory: 4652 grad_norm: 3.8649 loss: 3.7339 loss_cls: 2.5151 loss_bbox: 1.2188 +2024/10/30 14:16:36 - mmengine - INFO - Epoch(train) [99][1700/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:48:59 time: 0.4209 data_time: 0.0396 memory: 4652 grad_norm: 3.8056 loss: 3.6748 loss_cls: 2.4562 loss_bbox: 1.2186 +2024/10/30 14:16:40 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 14:16:58 - mmengine - INFO - Epoch(train) [99][1750/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:48:37 time: 0.4257 data_time: 0.0393 memory: 4652 grad_norm: 4.0628 loss: 3.7575 loss_cls: 2.5075 loss_bbox: 1.2501 +2024/10/30 14:17:19 - mmengine - INFO - Epoch(train) [99][1800/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:48:16 time: 0.4322 data_time: 0.0437 memory: 4652 grad_norm: 4.1175 loss: 3.7352 loss_cls: 2.4894 loss_bbox: 1.2458 +2024/10/30 14:17:41 - mmengine - INFO - Epoch(train) [99][1850/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:47:54 time: 0.4274 data_time: 0.0423 memory: 4652 grad_norm: 3.8704 loss: 3.7191 loss_cls: 2.4699 loss_bbox: 1.2492 +2024/10/30 14:18:03 - mmengine - INFO - Epoch(train) [99][1900/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:47:33 time: 0.4387 data_time: 0.0419 memory: 4652 grad_norm: 3.7229 loss: 3.6750 loss_cls: 2.4807 loss_bbox: 1.1943 +2024/10/30 14:18:26 - mmengine - INFO - Epoch(train) [99][1950/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:47:12 time: 0.4697 data_time: 0.0919 memory: 4652 grad_norm: 3.6740 loss: 3.8132 loss_cls: 2.5876 loss_bbox: 1.2256 +2024/10/30 14:18:48 - mmengine - INFO - Epoch(train) [99][2000/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:46:51 time: 0.4272 data_time: 0.0413 memory: 4652 grad_norm: 3.6688 loss: 3.7468 loss_cls: 2.5070 loss_bbox: 1.2397 +2024/10/30 14:19:09 - mmengine - INFO - Epoch(train) [99][2050/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:46:29 time: 0.4209 data_time: 0.0399 memory: 4652 grad_norm: 3.9931 loss: 3.6990 loss_cls: 2.4593 loss_bbox: 1.2397 +2024/10/30 14:19:31 - mmengine - INFO - Epoch(train) [99][2100/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:46:08 time: 0.4376 data_time: 0.0461 memory: 4652 grad_norm: 4.1519 loss: 3.6946 loss_cls: 2.4462 loss_bbox: 1.2484 +2024/10/30 14:19:52 - mmengine - INFO - Epoch(train) [99][2150/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:45:46 time: 0.4272 data_time: 0.0423 memory: 4652 grad_norm: 4.0552 loss: 3.7095 loss_cls: 2.4746 loss_bbox: 1.2349 +2024/10/30 14:20:14 - mmengine - INFO - Epoch(train) [99][2200/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:45:25 time: 0.4421 data_time: 0.0442 memory: 4652 grad_norm: 3.8447 loss: 3.7299 loss_cls: 2.4768 loss_bbox: 1.2532 +2024/10/30 14:20:36 - mmengine - INFO - Epoch(train) [99][2250/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:45:03 time: 0.4341 data_time: 0.0409 memory: 4652 grad_norm: 3.6010 loss: 3.6441 loss_cls: 2.4683 loss_bbox: 1.1758 +2024/10/30 14:20:57 - mmengine - INFO - Epoch(train) [99][2300/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:44:42 time: 0.4209 data_time: 0.0419 memory: 4652 grad_norm: 3.6451 loss: 3.7995 loss_cls: 2.5421 loss_bbox: 1.2574 +2024/10/30 14:21:20 - mmengine - INFO - Epoch(train) [99][2350/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:44:20 time: 0.4514 data_time: 0.0484 memory: 4652 grad_norm: 3.8491 loss: 3.8023 loss_cls: 2.5308 loss_bbox: 1.2715 +2024/10/30 14:21:41 - mmengine - INFO - Epoch(train) [99][2400/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:43:59 time: 0.4194 data_time: 0.0421 memory: 4652 grad_norm: 3.9110 loss: 3.7249 loss_cls: 2.4934 loss_bbox: 1.2315 +2024/10/30 14:22:04 - mmengine - INFO - Epoch(train) [99][2450/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:43:38 time: 0.4586 data_time: 0.0507 memory: 4652 grad_norm: 3.6016 loss: 3.7212 loss_cls: 2.4783 loss_bbox: 1.2429 +2024/10/30 14:22:26 - mmengine - INFO - Epoch(train) [99][2500/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:43:16 time: 0.4494 data_time: 0.0608 memory: 4652 grad_norm: 3.6974 loss: 3.7595 loss_cls: 2.4934 loss_bbox: 1.2660 +2024/10/30 14:22:48 - mmengine - INFO - Epoch(train) [99][2550/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:42:55 time: 0.4304 data_time: 0.0419 memory: 4652 grad_norm: 3.7305 loss: 3.7271 loss_cls: 2.4597 loss_bbox: 1.2674 +2024/10/30 14:23:11 - mmengine - INFO - Epoch(train) [99][2600/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:42:34 time: 0.4586 data_time: 0.0486 memory: 4652 grad_norm: 3.7269 loss: 3.7017 loss_cls: 2.4821 loss_bbox: 1.2196 +2024/10/30 14:23:32 - mmengine - INFO - Epoch(train) [99][2650/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:42:12 time: 0.4178 data_time: 0.0439 memory: 4652 grad_norm: 3.9637 loss: 3.7334 loss_cls: 2.4781 loss_bbox: 1.2553 +2024/10/30 14:23:54 - mmengine - INFO - Epoch(train) [99][2700/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:41:51 time: 0.4479 data_time: 0.0429 memory: 4652 grad_norm: 3.9103 loss: 3.7170 loss_cls: 2.5042 loss_bbox: 1.2129 +2024/10/30 14:23:58 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 14:24:16 - mmengine - INFO - Epoch(train) [99][2750/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:41:29 time: 0.4345 data_time: 0.0446 memory: 4652 grad_norm: 3.6363 loss: 3.7647 loss_cls: 2.4903 loss_bbox: 1.2744 +2024/10/30 14:24:38 - mmengine - INFO - Epoch(train) [99][2800/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:41:08 time: 0.4362 data_time: 0.0471 memory: 4652 grad_norm: 3.9687 loss: 3.7413 loss_cls: 2.5027 loss_bbox: 1.2386 +2024/10/30 14:25:01 - mmengine - INFO - Epoch(train) [99][2850/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:40:47 time: 0.4570 data_time: 0.0477 memory: 4652 grad_norm: 3.7928 loss: 3.8868 loss_cls: 2.5903 loss_bbox: 1.2965 +2024/10/30 14:25:22 - mmengine - INFO - Epoch(train) [99][2900/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:40:25 time: 0.4184 data_time: 0.0405 memory: 4652 grad_norm: 4.2649 loss: 3.6603 loss_cls: 2.4714 loss_bbox: 1.1889 +2024/10/30 14:25:45 - mmengine - INFO - Epoch(train) [99][2950/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:40:04 time: 0.4658 data_time: 0.0463 memory: 4652 grad_norm: 3.5664 loss: 3.6884 loss_cls: 2.4590 loss_bbox: 1.2294 +2024/10/30 14:26:07 - mmengine - INFO - Epoch(train) [99][3000/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:39:43 time: 0.4428 data_time: 0.0448 memory: 4652 grad_norm: 3.8262 loss: 3.7859 loss_cls: 2.5093 loss_bbox: 1.2766 +2024/10/30 14:26:29 - mmengine - INFO - Epoch(train) [99][3050/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 7:39:21 time: 0.4349 data_time: 0.0395 memory: 4652 grad_norm: 3.8151 loss: 3.6882 loss_cls: 2.4659 loss_bbox: 1.2223 +2024/10/30 14:26:30 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 14:26:30 - mmengine - INFO - Saving checkpoint at 99 epochs +2024/10/30 14:26:59 - mmengine - INFO - Epoch(train) [100][ 50/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:38:58 time: 0.4488 data_time: 0.0674 memory: 4652 grad_norm: 3.4740 loss: 3.6149 loss_cls: 2.4205 loss_bbox: 1.1944 +2024/10/30 14:27:19 - mmengine - INFO - Epoch(train) [100][ 100/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:38:37 time: 0.4112 data_time: 0.0416 memory: 4652 grad_norm: 4.0261 loss: 3.6192 loss_cls: 2.4545 loss_bbox: 1.1647 +2024/10/30 14:27:41 - mmengine - INFO - Epoch(train) [100][ 150/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:38:15 time: 0.4458 data_time: 0.0429 memory: 4652 grad_norm: 3.7797 loss: 3.6547 loss_cls: 2.4542 loss_bbox: 1.2005 +2024/10/30 14:28:02 - mmengine - INFO - Epoch(train) [100][ 200/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:37:54 time: 0.4168 data_time: 0.0490 memory: 4652 grad_norm: 3.7968 loss: 3.7267 loss_cls: 2.4686 loss_bbox: 1.2581 +2024/10/30 14:28:25 - mmengine - INFO - Epoch(train) [100][ 250/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:37:32 time: 0.4580 data_time: 0.0791 memory: 4652 grad_norm: 3.8835 loss: 3.7207 loss_cls: 2.4707 loss_bbox: 1.2500 +2024/10/30 14:28:46 - mmengine - INFO - Epoch(train) [100][ 300/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:37:11 time: 0.4176 data_time: 0.0421 memory: 4652 grad_norm: 4.1236 loss: 3.6768 loss_cls: 2.4660 loss_bbox: 1.2108 +2024/10/30 14:29:07 - mmengine - INFO - Epoch(train) [100][ 350/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:36:49 time: 0.4209 data_time: 0.0528 memory: 4652 grad_norm: 4.3343 loss: 3.7334 loss_cls: 2.4430 loss_bbox: 1.2904 +2024/10/30 14:29:30 - mmengine - INFO - Epoch(train) [100][ 400/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:36:28 time: 0.4566 data_time: 0.0500 memory: 4652 grad_norm: 3.9619 loss: 3.6267 loss_cls: 2.4266 loss_bbox: 1.2000 +2024/10/30 14:29:51 - mmengine - INFO - Epoch(train) [100][ 450/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:36:06 time: 0.4118 data_time: 0.0471 memory: 4652 grad_norm: 3.9407 loss: 3.5996 loss_cls: 2.4041 loss_bbox: 1.1956 +2024/10/30 14:30:13 - mmengine - INFO - Epoch(train) [100][ 500/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:35:45 time: 0.4393 data_time: 0.0429 memory: 4652 grad_norm: 3.9122 loss: 3.7145 loss_cls: 2.4879 loss_bbox: 1.2266 +2024/10/30 14:30:34 - mmengine - INFO - Epoch(train) [100][ 550/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:35:24 time: 0.4290 data_time: 0.0409 memory: 4652 grad_norm: 3.7254 loss: 3.6686 loss_cls: 2.4638 loss_bbox: 1.2048 +2024/10/30 14:30:55 - mmengine - INFO - Epoch(train) [100][ 600/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:35:02 time: 0.4141 data_time: 0.0456 memory: 4652 grad_norm: 3.7206 loss: 3.7068 loss_cls: 2.4829 loss_bbox: 1.2239 +2024/10/30 14:31:19 - mmengine - INFO - Epoch(train) [100][ 650/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:34:41 time: 0.4710 data_time: 0.0463 memory: 4652 grad_norm: 3.7509 loss: 3.8221 loss_cls: 2.5286 loss_bbox: 1.2935 +2024/10/30 14:31:20 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 14:31:39 - mmengine - INFO - Epoch(train) [100][ 700/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:34:19 time: 0.4093 data_time: 0.0420 memory: 4652 grad_norm: 3.8255 loss: 3.6763 loss_cls: 2.4831 loss_bbox: 1.1932 +2024/10/30 14:32:01 - mmengine - INFO - Epoch(train) [100][ 750/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:33:58 time: 0.4359 data_time: 0.0416 memory: 4652 grad_norm: 3.5963 loss: 3.6800 loss_cls: 2.4883 loss_bbox: 1.1917 +2024/10/30 14:32:23 - mmengine - INFO - Epoch(train) [100][ 800/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:33:36 time: 0.4318 data_time: 0.0500 memory: 4652 grad_norm: 4.0574 loss: 3.7311 loss_cls: 2.4798 loss_bbox: 1.2513 +2024/10/30 14:32:44 - mmengine - INFO - Epoch(train) [100][ 850/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:33:15 time: 0.4207 data_time: 0.0428 memory: 4652 grad_norm: 3.7480 loss: 3.7494 loss_cls: 2.5010 loss_bbox: 1.2484 +2024/10/30 14:33:06 - mmengine - INFO - Epoch(train) [100][ 900/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:32:53 time: 0.4478 data_time: 0.0427 memory: 4652 grad_norm: 4.1512 loss: 3.6833 loss_cls: 2.4400 loss_bbox: 1.2433 +2024/10/30 14:33:27 - mmengine - INFO - Epoch(train) [100][ 950/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:32:32 time: 0.4258 data_time: 0.0489 memory: 4652 grad_norm: 4.1354 loss: 3.8083 loss_cls: 2.5348 loss_bbox: 1.2735 +2024/10/30 14:33:49 - mmengine - INFO - Epoch(train) [100][1000/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:32:10 time: 0.4360 data_time: 0.0414 memory: 4652 grad_norm: 3.9064 loss: 3.6833 loss_cls: 2.4612 loss_bbox: 1.2221 +2024/10/30 14:34:10 - mmengine - INFO - Epoch(train) [100][1050/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:31:49 time: 0.4207 data_time: 0.0419 memory: 4652 grad_norm: 3.6424 loss: 3.7071 loss_cls: 2.4742 loss_bbox: 1.2329 +2024/10/30 14:34:32 - mmengine - INFO - Epoch(train) [100][1100/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:31:27 time: 0.4319 data_time: 0.0404 memory: 4652 grad_norm: 3.7293 loss: 3.7455 loss_cls: 2.5064 loss_bbox: 1.2391 +2024/10/30 14:34:54 - mmengine - INFO - Epoch(train) [100][1150/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:31:06 time: 0.4360 data_time: 0.0485 memory: 4652 grad_norm: 3.6739 loss: 3.8452 loss_cls: 2.5264 loss_bbox: 1.3188 +2024/10/30 14:35:15 - mmengine - INFO - Epoch(train) [100][1200/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:30:44 time: 0.4239 data_time: 0.0421 memory: 4652 grad_norm: 3.8008 loss: 3.5878 loss_cls: 2.4086 loss_bbox: 1.1792 +2024/10/30 14:35:38 - mmengine - INFO - Epoch(train) [100][1250/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:30:23 time: 0.4564 data_time: 0.0456 memory: 4652 grad_norm: 3.9504 loss: 3.7458 loss_cls: 2.4611 loss_bbox: 1.2847 +2024/10/30 14:35:59 - mmengine - INFO - Epoch(train) [100][1300/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:30:02 time: 0.4210 data_time: 0.0421 memory: 4652 grad_norm: 3.7020 loss: 3.7184 loss_cls: 2.5042 loss_bbox: 1.2142 +2024/10/30 14:36:21 - mmengine - INFO - Epoch(train) [100][1350/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:29:40 time: 0.4420 data_time: 0.0408 memory: 4652 grad_norm: 3.8742 loss: 3.7312 loss_cls: 2.4834 loss_bbox: 1.2478 +2024/10/30 14:36:42 - mmengine - INFO - Epoch(train) [100][1400/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:29:19 time: 0.4214 data_time: 0.0397 memory: 4652 grad_norm: 3.8664 loss: 3.6815 loss_cls: 2.4722 loss_bbox: 1.2093 +2024/10/30 14:37:04 - mmengine - INFO - Epoch(train) [100][1450/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:28:57 time: 0.4315 data_time: 0.0432 memory: 4652 grad_norm: 3.9026 loss: 3.6621 loss_cls: 2.4305 loss_bbox: 1.2316 +2024/10/30 14:37:27 - mmengine - INFO - Epoch(train) [100][1500/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:28:36 time: 0.4652 data_time: 0.0716 memory: 4652 grad_norm: 3.6840 loss: 3.7140 loss_cls: 2.4535 loss_bbox: 1.2605 +2024/10/30 14:37:48 - mmengine - INFO - Epoch(train) [100][1550/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:28:15 time: 0.4213 data_time: 0.0464 memory: 4652 grad_norm: 4.0413 loss: 3.6594 loss_cls: 2.4445 loss_bbox: 1.2149 +2024/10/30 14:38:10 - mmengine - INFO - Epoch(train) [100][1600/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:27:53 time: 0.4421 data_time: 0.0403 memory: 4652 grad_norm: 4.0274 loss: 3.6994 loss_cls: 2.4742 loss_bbox: 1.2252 +2024/10/30 14:38:31 - mmengine - INFO - Epoch(train) [100][1650/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:27:32 time: 0.4190 data_time: 0.0406 memory: 4652 grad_norm: 3.8989 loss: 3.5997 loss_cls: 2.4094 loss_bbox: 1.1904 +2024/10/30 14:38:33 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 14:38:53 - mmengine - INFO - Epoch(train) [100][1700/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:27:10 time: 0.4321 data_time: 0.0433 memory: 4652 grad_norm: 4.0160 loss: 3.7179 loss_cls: 2.4937 loss_bbox: 1.2241 +2024/10/30 14:39:15 - mmengine - INFO - Epoch(train) [100][1750/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:26:49 time: 0.4405 data_time: 0.0395 memory: 4652 grad_norm: 3.8301 loss: 3.7387 loss_cls: 2.4764 loss_bbox: 1.2623 +2024/10/30 14:39:36 - mmengine - INFO - Epoch(train) [100][1800/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:26:27 time: 0.4220 data_time: 0.0421 memory: 4652 grad_norm: 4.0547 loss: 3.6977 loss_cls: 2.4566 loss_bbox: 1.2411 +2024/10/30 14:39:59 - mmengine - INFO - Epoch(train) [100][1850/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:26:06 time: 0.4483 data_time: 0.0474 memory: 4652 grad_norm: 3.9045 loss: 3.6583 loss_cls: 2.4352 loss_bbox: 1.2232 +2024/10/30 14:40:20 - mmengine - INFO - Epoch(train) [100][1900/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:25:44 time: 0.4215 data_time: 0.0458 memory: 4652 grad_norm: 3.7710 loss: 3.6775 loss_cls: 2.4578 loss_bbox: 1.2196 +2024/10/30 14:40:41 - mmengine - INFO - Epoch(train) [100][1950/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:25:23 time: 0.4304 data_time: 0.0389 memory: 4652 grad_norm: 3.9820 loss: 3.7381 loss_cls: 2.4831 loss_bbox: 1.2549 +2024/10/30 14:41:03 - mmengine - INFO - Epoch(train) [100][2000/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:25:01 time: 0.4410 data_time: 0.0573 memory: 4652 grad_norm: 3.9105 loss: 3.6870 loss_cls: 2.4832 loss_bbox: 1.2039 +2024/10/30 14:41:26 - mmengine - INFO - Epoch(train) [100][2050/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:24:40 time: 0.4585 data_time: 0.0732 memory: 4652 grad_norm: 4.0839 loss: 3.6733 loss_cls: 2.4810 loss_bbox: 1.1923 +2024/10/30 14:41:48 - mmengine - INFO - Epoch(train) [100][2100/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:24:19 time: 0.4333 data_time: 0.0464 memory: 4652 grad_norm: 4.0251 loss: 3.6494 loss_cls: 2.4299 loss_bbox: 1.2195 +2024/10/30 14:42:10 - mmengine - INFO - Epoch(train) [100][2150/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:23:57 time: 0.4305 data_time: 0.0517 memory: 4652 grad_norm: 3.7288 loss: 3.6125 loss_cls: 2.4264 loss_bbox: 1.1861 +2024/10/30 14:42:32 - mmengine - INFO - Epoch(train) [100][2200/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:23:36 time: 0.4404 data_time: 0.0379 memory: 4652 grad_norm: 4.1633 loss: 3.7489 loss_cls: 2.5097 loss_bbox: 1.2392 +2024/10/30 14:42:54 - mmengine - INFO - Epoch(train) [100][2250/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:23:15 time: 0.4438 data_time: 0.0441 memory: 4652 grad_norm: 3.7680 loss: 3.7633 loss_cls: 2.4935 loss_bbox: 1.2699 +2024/10/30 14:43:16 - mmengine - INFO - Epoch(train) [100][2300/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:22:53 time: 0.4357 data_time: 0.0378 memory: 4652 grad_norm: 3.5505 loss: 3.7300 loss_cls: 2.4728 loss_bbox: 1.2572 +2024/10/30 14:43:38 - mmengine - INFO - Epoch(train) [100][2350/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:22:32 time: 0.4528 data_time: 0.0379 memory: 4652 grad_norm: 4.2407 loss: 3.7909 loss_cls: 2.5351 loss_bbox: 1.2558 +2024/10/30 14:44:00 - mmengine - INFO - Epoch(train) [100][2400/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:22:10 time: 0.4289 data_time: 0.0382 memory: 4652 grad_norm: 4.1475 loss: 3.6881 loss_cls: 2.4755 loss_bbox: 1.2126 +2024/10/30 14:44:22 - mmengine - INFO - Epoch(train) [100][2450/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:21:49 time: 0.4508 data_time: 0.0438 memory: 4652 grad_norm: 4.0325 loss: 3.6769 loss_cls: 2.4400 loss_bbox: 1.2369 +2024/10/30 14:44:44 - mmengine - INFO - Epoch(train) [100][2500/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:21:28 time: 0.4301 data_time: 0.0476 memory: 4652 grad_norm: 4.0739 loss: 3.6636 loss_cls: 2.4581 loss_bbox: 1.2055 +2024/10/30 14:45:06 - mmengine - INFO - Epoch(train) [100][2550/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:21:06 time: 0.4347 data_time: 0.0398 memory: 4652 grad_norm: 3.6878 loss: 3.6488 loss_cls: 2.4401 loss_bbox: 1.2087 +2024/10/30 14:45:28 - mmengine - INFO - Epoch(train) [100][2600/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:20:45 time: 0.4454 data_time: 0.0465 memory: 4652 grad_norm: 3.7834 loss: 3.7349 loss_cls: 2.5060 loss_bbox: 1.2289 +2024/10/30 14:45:50 - mmengine - INFO - Epoch(train) [100][2650/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:20:23 time: 0.4291 data_time: 0.0377 memory: 4652 grad_norm: 3.7837 loss: 3.6820 loss_cls: 2.4474 loss_bbox: 1.2346 +2024/10/30 14:45:52 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 14:46:13 - mmengine - INFO - Epoch(train) [100][2700/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:20:02 time: 0.4586 data_time: 0.0401 memory: 4652 grad_norm: 3.8961 loss: 3.6792 loss_cls: 2.4475 loss_bbox: 1.2316 +2024/10/30 14:46:34 - mmengine - INFO - Epoch(train) [100][2750/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:19:41 time: 0.4348 data_time: 0.0496 memory: 4652 grad_norm: 3.9826 loss: 3.6880 loss_cls: 2.4544 loss_bbox: 1.2336 +2024/10/30 14:46:57 - mmengine - INFO - Epoch(train) [100][2800/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:19:20 time: 0.4494 data_time: 0.0549 memory: 4652 grad_norm: 3.9251 loss: 3.6357 loss_cls: 2.4342 loss_bbox: 1.2016 +2024/10/30 14:47:19 - mmengine - INFO - Epoch(train) [100][2850/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:18:58 time: 0.4519 data_time: 0.0386 memory: 4652 grad_norm: 3.9799 loss: 3.7291 loss_cls: 2.4952 loss_bbox: 1.2339 +2024/10/30 14:47:41 - mmengine - INFO - Epoch(train) [100][2900/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:18:37 time: 0.4295 data_time: 0.0404 memory: 4652 grad_norm: 4.3955 loss: 3.6440 loss_cls: 2.4386 loss_bbox: 1.2054 +2024/10/30 14:48:05 - mmengine - INFO - Epoch(train) [100][2950/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:18:16 time: 0.4718 data_time: 0.0537 memory: 4652 grad_norm: 4.1616 loss: 3.6536 loss_cls: 2.4596 loss_bbox: 1.1940 +2024/10/30 14:48:26 - mmengine - INFO - Epoch(train) [100][3000/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:17:54 time: 0.4281 data_time: 0.0411 memory: 4652 grad_norm: 4.1258 loss: 3.8067 loss_cls: 2.5224 loss_bbox: 1.2843 +2024/10/30 14:48:48 - mmengine - INFO - Epoch(train) [100][3050/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 7:17:33 time: 0.4371 data_time: 0.0415 memory: 4652 grad_norm: 3.8001 loss: 3.6945 loss_cls: 2.4511 loss_bbox: 1.2434 +2024/10/30 14:48:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 14:48:50 - mmengine - INFO - Saving checkpoint at 100 epochs +2024/10/30 14:48:59 - mmengine - INFO - Epoch(val) [100][50/79] eta: 0:00:02 time: 0.0750 data_time: 0.0089 memory: 4652 +2024/10/30 14:49:25 - mmengine - INFO - Evaluating bbox... +2024/10/30 14:50:48 - mmengine - INFO - bbox_mAP_copypaste: 0.265 0.436 0.275 0.074 0.311 0.425 +2024/10/30 14:50:49 - mmengine - INFO - Epoch(val) [100][79/79] coco/bbox_mAP: 0.2650 coco/bbox_mAP_50: 0.4360 coco/bbox_mAP_75: 0.2750 coco/bbox_mAP_s: 0.0740 coco/bbox_mAP_m: 0.3110 coco/bbox_mAP_l: 0.4250 data_time: 0.0082 time: 0.0732 +2024/10/30 14:51:11 - mmengine - INFO - Epoch(train) [101][ 50/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:17:10 time: 0.4396 data_time: 0.0662 memory: 4652 grad_norm: 3.7200 loss: 3.6647 loss_cls: 2.4627 loss_bbox: 1.2020 +2024/10/30 14:51:31 - mmengine - INFO - Epoch(train) [101][ 100/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:16:48 time: 0.4110 data_time: 0.0430 memory: 4652 grad_norm: 3.8032 loss: 3.7313 loss_cls: 2.4651 loss_bbox: 1.2662 +2024/10/30 14:51:53 - mmengine - INFO - Epoch(train) [101][ 150/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:16:27 time: 0.4351 data_time: 0.0403 memory: 4652 grad_norm: 3.7464 loss: 3.6418 loss_cls: 2.4332 loss_bbox: 1.2086 +2024/10/30 14:52:14 - mmengine - INFO - Epoch(train) [101][ 200/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:16:05 time: 0.4211 data_time: 0.0515 memory: 4652 grad_norm: 4.0385 loss: 3.6711 loss_cls: 2.4421 loss_bbox: 1.2290 +2024/10/30 14:52:36 - mmengine - INFO - Epoch(train) [101][ 250/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:15:43 time: 0.4240 data_time: 0.0397 memory: 4652 grad_norm: 3.8152 loss: 3.7049 loss_cls: 2.4492 loss_bbox: 1.2556 +2024/10/30 14:52:57 - mmengine - INFO - Epoch(train) [101][ 300/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:15:22 time: 0.4270 data_time: 0.0487 memory: 4652 grad_norm: 4.0090 loss: 3.6033 loss_cls: 2.4091 loss_bbox: 1.1942 +2024/10/30 14:53:18 - mmengine - INFO - Epoch(train) [101][ 350/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:15:00 time: 0.4187 data_time: 0.0482 memory: 4652 grad_norm: 3.6331 loss: 3.6608 loss_cls: 2.4398 loss_bbox: 1.2210 +2024/10/30 14:53:39 - mmengine - INFO - Epoch(train) [101][ 400/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:14:39 time: 0.4257 data_time: 0.0442 memory: 4652 grad_norm: 3.7899 loss: 3.6332 loss_cls: 2.4379 loss_bbox: 1.1953 +2024/10/30 14:54:01 - mmengine - INFO - Epoch(train) [101][ 450/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:14:17 time: 0.4255 data_time: 0.0561 memory: 4652 grad_norm: 3.7406 loss: 3.5956 loss_cls: 2.4111 loss_bbox: 1.1844 +2024/10/30 14:54:22 - mmengine - INFO - Epoch(train) [101][ 500/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:13:56 time: 0.4278 data_time: 0.0501 memory: 4652 grad_norm: 4.3381 loss: 3.6529 loss_cls: 2.4553 loss_bbox: 1.1976 +2024/10/30 14:54:42 - mmengine - INFO - Epoch(train) [101][ 550/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:13:34 time: 0.4079 data_time: 0.0477 memory: 4652 grad_norm: 3.9872 loss: 3.5961 loss_cls: 2.3974 loss_bbox: 1.1987 +2024/10/30 14:55:03 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 14:55:03 - mmengine - INFO - Epoch(train) [101][ 600/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:13:12 time: 0.4110 data_time: 0.0414 memory: 4652 grad_norm: 3.6261 loss: 3.6902 loss_cls: 2.4738 loss_bbox: 1.2164 +2024/10/30 14:55:27 - mmengine - INFO - Epoch(train) [101][ 650/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:12:51 time: 0.4791 data_time: 0.0820 memory: 4652 grad_norm: 4.0849 loss: 3.6839 loss_cls: 2.4656 loss_bbox: 1.2183 +2024/10/30 14:55:48 - mmengine - INFO - Epoch(train) [101][ 700/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:12:30 time: 0.4197 data_time: 0.0434 memory: 4652 grad_norm: 4.0262 loss: 3.6454 loss_cls: 2.4538 loss_bbox: 1.1916 +2024/10/30 14:56:10 - mmengine - INFO - Epoch(train) [101][ 750/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:12:08 time: 0.4368 data_time: 0.0431 memory: 4652 grad_norm: 3.6191 loss: 3.6744 loss_cls: 2.4698 loss_bbox: 1.2046 +2024/10/30 14:56:31 - mmengine - INFO - Epoch(train) [101][ 800/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:11:47 time: 0.4300 data_time: 0.0629 memory: 4652 grad_norm: 4.0096 loss: 3.7038 loss_cls: 2.4778 loss_bbox: 1.2260 +2024/10/30 14:56:52 - mmengine - INFO - Epoch(train) [101][ 850/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:11:25 time: 0.4153 data_time: 0.0401 memory: 4652 grad_norm: 4.0512 loss: 3.5796 loss_cls: 2.4183 loss_bbox: 1.1613 +2024/10/30 14:57:14 - mmengine - INFO - Epoch(train) [101][ 900/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:11:04 time: 0.4343 data_time: 0.0420 memory: 4652 grad_norm: 3.6907 loss: 3.6878 loss_cls: 2.4819 loss_bbox: 1.2059 +2024/10/30 14:57:35 - mmengine - INFO - Epoch(train) [101][ 950/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:10:42 time: 0.4268 data_time: 0.0441 memory: 4652 grad_norm: 4.1217 loss: 3.6214 loss_cls: 2.4169 loss_bbox: 1.2046 +2024/10/30 14:57:57 - mmengine - INFO - Epoch(train) [101][1000/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:10:21 time: 0.4280 data_time: 0.0399 memory: 4652 grad_norm: 3.9405 loss: 3.6252 loss_cls: 2.4237 loss_bbox: 1.2015 +2024/10/30 14:58:18 - mmengine - INFO - Epoch(train) [101][1050/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:09:59 time: 0.4160 data_time: 0.0424 memory: 4652 grad_norm: 3.8578 loss: 3.7486 loss_cls: 2.5026 loss_bbox: 1.2460 +2024/10/30 14:58:38 - mmengine - INFO - Epoch(train) [101][1100/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:09:38 time: 0.4169 data_time: 0.0398 memory: 4652 grad_norm: 4.0632 loss: 3.6790 loss_cls: 2.4097 loss_bbox: 1.2694 +2024/10/30 14:59:00 - mmengine - INFO - Epoch(train) [101][1150/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:09:16 time: 0.4348 data_time: 0.0406 memory: 4652 grad_norm: 4.1514 loss: 3.5875 loss_cls: 2.4127 loss_bbox: 1.1748 +2024/10/30 14:59:21 - mmengine - INFO - Epoch(train) [101][1200/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:08:54 time: 0.4213 data_time: 0.0452 memory: 4652 grad_norm: 3.9276 loss: 3.7617 loss_cls: 2.4974 loss_bbox: 1.2643 +2024/10/30 14:59:43 - mmengine - INFO - Epoch(train) [101][1250/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:08:33 time: 0.4305 data_time: 0.0437 memory: 4652 grad_norm: 4.2440 loss: 3.6685 loss_cls: 2.4460 loss_bbox: 1.2225 +2024/10/30 15:00:04 - mmengine - INFO - Epoch(train) [101][1300/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:08:11 time: 0.4127 data_time: 0.0434 memory: 4652 grad_norm: 3.8934 loss: 3.6256 loss_cls: 2.4059 loss_bbox: 1.2198 +2024/10/30 15:00:26 - mmengine - INFO - Epoch(train) [101][1350/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:07:50 time: 0.4550 data_time: 0.0651 memory: 4652 grad_norm: 3.8984 loss: 3.7131 loss_cls: 2.4523 loss_bbox: 1.2608 +2024/10/30 15:00:47 - mmengine - INFO - Epoch(train) [101][1400/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:07:28 time: 0.4095 data_time: 0.0490 memory: 4652 grad_norm: 3.9664 loss: 3.6746 loss_cls: 2.4332 loss_bbox: 1.2414 +2024/10/30 15:01:08 - mmengine - INFO - Epoch(train) [101][1450/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:07:07 time: 0.4194 data_time: 0.0394 memory: 4652 grad_norm: 3.8979 loss: 3.6419 loss_cls: 2.4326 loss_bbox: 1.2093 +2024/10/30 15:01:29 - mmengine - INFO - Epoch(train) [101][1500/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:06:45 time: 0.4250 data_time: 0.0407 memory: 4652 grad_norm: 3.7101 loss: 3.7327 loss_cls: 2.4891 loss_bbox: 1.2436 +2024/10/30 15:01:51 - mmengine - INFO - Epoch(train) [101][1550/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:06:24 time: 0.4275 data_time: 0.0518 memory: 4652 grad_norm: 4.1228 loss: 3.6232 loss_cls: 2.4374 loss_bbox: 1.1858 +2024/10/30 15:02:12 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 15:02:12 - mmengine - INFO - Epoch(train) [101][1600/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:06:02 time: 0.4312 data_time: 0.0402 memory: 4652 grad_norm: 3.9912 loss: 3.6350 loss_cls: 2.4294 loss_bbox: 1.2056 +2024/10/30 15:02:33 - mmengine - INFO - Epoch(train) [101][1650/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:05:41 time: 0.4194 data_time: 0.0553 memory: 4652 grad_norm: 4.2014 loss: 3.6550 loss_cls: 2.4479 loss_bbox: 1.2071 +2024/10/30 15:02:55 - mmengine - INFO - Epoch(train) [101][1700/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:05:19 time: 0.4296 data_time: 0.0479 memory: 4652 grad_norm: 4.1597 loss: 3.6617 loss_cls: 2.4197 loss_bbox: 1.2421 +2024/10/30 15:03:16 - mmengine - INFO - Epoch(train) [101][1750/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:04:58 time: 0.4355 data_time: 0.0448 memory: 4652 grad_norm: 3.4706 loss: 3.7011 loss_cls: 2.4601 loss_bbox: 1.2410 +2024/10/30 15:03:37 - mmengine - INFO - Epoch(train) [101][1800/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:04:36 time: 0.4119 data_time: 0.0400 memory: 4652 grad_norm: 3.8957 loss: 3.6548 loss_cls: 2.4676 loss_bbox: 1.1872 +2024/10/30 15:03:59 - mmengine - INFO - Epoch(train) [101][1850/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:04:15 time: 0.4421 data_time: 0.0504 memory: 4652 grad_norm: 4.0086 loss: 3.6467 loss_cls: 2.4163 loss_bbox: 1.2304 +2024/10/30 15:04:20 - mmengine - INFO - Epoch(train) [101][1900/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:03:53 time: 0.4078 data_time: 0.0391 memory: 4652 grad_norm: 4.1897 loss: 3.6829 loss_cls: 2.4611 loss_bbox: 1.2219 +2024/10/30 15:04:41 - mmengine - INFO - Epoch(train) [101][1950/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:03:32 time: 0.4244 data_time: 0.0403 memory: 4652 grad_norm: 3.9170 loss: 3.5922 loss_cls: 2.4220 loss_bbox: 1.1702 +2024/10/30 15:05:02 - mmengine - INFO - Epoch(train) [101][2000/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:03:10 time: 0.4166 data_time: 0.0419 memory: 4652 grad_norm: 3.9891 loss: 3.7191 loss_cls: 2.5149 loss_bbox: 1.2042 +2024/10/30 15:05:26 - mmengine - INFO - Epoch(train) [101][2050/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:02:49 time: 0.4786 data_time: 0.1036 memory: 4652 grad_norm: 4.0661 loss: 3.6659 loss_cls: 2.4371 loss_bbox: 1.2289 +2024/10/30 15:05:48 - mmengine - INFO - Epoch(train) [101][2100/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:02:28 time: 0.4455 data_time: 0.0428 memory: 4652 grad_norm: 4.2756 loss: 3.6765 loss_cls: 2.4593 loss_bbox: 1.2172 +2024/10/30 15:06:09 - mmengine - INFO - Epoch(train) [101][2150/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:02:06 time: 0.4290 data_time: 0.0506 memory: 4652 grad_norm: 3.9749 loss: 3.6665 loss_cls: 2.4311 loss_bbox: 1.2355 +2024/10/30 15:06:31 - mmengine - INFO - Epoch(train) [101][2200/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:01:45 time: 0.4369 data_time: 0.0424 memory: 4652 grad_norm: 3.9311 loss: 3.6430 loss_cls: 2.4135 loss_bbox: 1.2296 +2024/10/30 15:06:53 - mmengine - INFO - Epoch(train) [101][2250/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:01:23 time: 0.4278 data_time: 0.0409 memory: 4652 grad_norm: 4.1186 loss: 3.5798 loss_cls: 2.3985 loss_bbox: 1.1813 +2024/10/30 15:07:15 - mmengine - INFO - Epoch(train) [101][2300/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:01:02 time: 0.4393 data_time: 0.0402 memory: 4652 grad_norm: 3.6556 loss: 3.6729 loss_cls: 2.4301 loss_bbox: 1.2428 +2024/10/30 15:07:36 - mmengine - INFO - Epoch(train) [101][2350/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:00:40 time: 0.4343 data_time: 0.0444 memory: 4652 grad_norm: 3.9967 loss: 3.6619 loss_cls: 2.4375 loss_bbox: 1.2244 +2024/10/30 15:07:58 - mmengine - INFO - Epoch(train) [101][2400/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 7:00:19 time: 0.4282 data_time: 0.0392 memory: 4652 grad_norm: 4.1218 loss: 3.6949 loss_cls: 2.4717 loss_bbox: 1.2233 +2024/10/30 15:08:20 - mmengine - INFO - Epoch(train) [101][2450/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 6:59:57 time: 0.4499 data_time: 0.0434 memory: 4652 grad_norm: 3.9348 loss: 3.7491 loss_cls: 2.5151 loss_bbox: 1.2340 +2024/10/30 15:08:42 - mmengine - INFO - Epoch(train) [101][2500/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 6:59:36 time: 0.4205 data_time: 0.0391 memory: 4652 grad_norm: 4.1114 loss: 3.7155 loss_cls: 2.4577 loss_bbox: 1.2577 +2024/10/30 15:09:03 - mmengine - INFO - Epoch(train) [101][2550/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 6:59:14 time: 0.4301 data_time: 0.0389 memory: 4652 grad_norm: 3.9309 loss: 3.5626 loss_cls: 2.4154 loss_bbox: 1.1472 +2024/10/30 15:09:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 15:09:26 - mmengine - INFO - Epoch(train) [101][2600/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 6:58:53 time: 0.4542 data_time: 0.0829 memory: 4652 grad_norm: 3.8636 loss: 3.7198 loss_cls: 2.4952 loss_bbox: 1.2246 +2024/10/30 15:09:47 - mmengine - INFO - Epoch(train) [101][2650/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 6:58:32 time: 0.4307 data_time: 0.0390 memory: 4652 grad_norm: 3.8560 loss: 3.5719 loss_cls: 2.4083 loss_bbox: 1.1636 +2024/10/30 15:10:09 - mmengine - INFO - Epoch(train) [101][2700/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 6:58:10 time: 0.4355 data_time: 0.0381 memory: 4652 grad_norm: 3.9800 loss: 3.7357 loss_cls: 2.4996 loss_bbox: 1.2361 +2024/10/30 15:10:31 - mmengine - INFO - Epoch(train) [101][2750/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 6:57:49 time: 0.4280 data_time: 0.0408 memory: 4652 grad_norm: 4.2701 loss: 3.6666 loss_cls: 2.4423 loss_bbox: 1.2243 +2024/10/30 15:10:53 - mmengine - INFO - Epoch(train) [101][2800/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 6:57:27 time: 0.4400 data_time: 0.0404 memory: 4652 grad_norm: 3.9101 loss: 3.7132 loss_cls: 2.4478 loss_bbox: 1.2654 +2024/10/30 15:11:13 - mmengine - INFO - Epoch(train) [101][2850/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 6:57:06 time: 0.4134 data_time: 0.0387 memory: 4652 grad_norm: 3.7488 loss: 3.6634 loss_cls: 2.4294 loss_bbox: 1.2340 +2024/10/30 15:11:34 - mmengine - INFO - Epoch(train) [101][2900/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 6:56:44 time: 0.4212 data_time: 0.0378 memory: 4652 grad_norm: 3.9681 loss: 3.6339 loss_cls: 2.4281 loss_bbox: 1.2058 +2024/10/30 15:11:56 - mmengine - INFO - Epoch(train) [101][2950/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 6:56:23 time: 0.4306 data_time: 0.0376 memory: 4652 grad_norm: 3.9183 loss: 3.6853 loss_cls: 2.4555 loss_bbox: 1.2299 +2024/10/30 15:12:17 - mmengine - INFO - Epoch(train) [101][3000/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 6:56:01 time: 0.4133 data_time: 0.0388 memory: 4652 grad_norm: 4.2580 loss: 3.6801 loss_cls: 2.4276 loss_bbox: 1.2525 +2024/10/30 15:12:39 - mmengine - INFO - Epoch(train) [101][3050/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 6:55:40 time: 0.4480 data_time: 0.0454 memory: 4652 grad_norm: 3.9785 loss: 3.5821 loss_cls: 2.3985 loss_bbox: 1.1836 +2024/10/30 15:12:41 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 15:12:41 - mmengine - INFO - Saving checkpoint at 101 epochs +2024/10/30 15:13:08 - mmengine - INFO - Epoch(train) [102][ 50/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:55:17 time: 0.4302 data_time: 0.0519 memory: 4652 grad_norm: 3.6647 loss: 3.6710 loss_cls: 2.4466 loss_bbox: 1.2245 +2024/10/30 15:13:30 - mmengine - INFO - Epoch(train) [102][ 100/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:54:55 time: 0.4260 data_time: 0.0397 memory: 4652 grad_norm: 3.9754 loss: 3.6598 loss_cls: 2.4364 loss_bbox: 1.2234 +2024/10/30 15:13:52 - mmengine - INFO - Epoch(train) [102][ 150/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:54:34 time: 0.4506 data_time: 0.0392 memory: 4652 grad_norm: 3.8715 loss: 3.6619 loss_cls: 2.4446 loss_bbox: 1.2174 +2024/10/30 15:14:13 - mmengine - INFO - Epoch(train) [102][ 200/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:54:12 time: 0.4222 data_time: 0.0442 memory: 4652 grad_norm: 4.1173 loss: 3.5633 loss_cls: 2.3959 loss_bbox: 1.1674 +2024/10/30 15:14:36 - mmengine - INFO - Epoch(train) [102][ 250/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:53:51 time: 0.4442 data_time: 0.0424 memory: 4652 grad_norm: 3.7888 loss: 3.6222 loss_cls: 2.4187 loss_bbox: 1.2035 +2024/10/30 15:14:56 - mmengine - INFO - Epoch(train) [102][ 300/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:53:29 time: 0.4073 data_time: 0.0359 memory: 4652 grad_norm: 3.8702 loss: 3.5463 loss_cls: 2.3711 loss_bbox: 1.1752 +2024/10/30 15:15:18 - mmengine - INFO - Epoch(train) [102][ 350/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:53:08 time: 0.4379 data_time: 0.0373 memory: 4652 grad_norm: 4.2406 loss: 3.6373 loss_cls: 2.4374 loss_bbox: 1.1999 +2024/10/30 15:15:40 - mmengine - INFO - Epoch(train) [102][ 400/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:52:46 time: 0.4394 data_time: 0.0367 memory: 4652 grad_norm: 4.2474 loss: 3.6115 loss_cls: 2.4230 loss_bbox: 1.1884 +2024/10/30 15:16:01 - mmengine - INFO - Epoch(train) [102][ 450/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:52:25 time: 0.4276 data_time: 0.0390 memory: 4652 grad_norm: 3.6999 loss: 3.6532 loss_cls: 2.4071 loss_bbox: 1.2461 +2024/10/30 15:16:24 - mmengine - INFO - Epoch(train) [102][ 500/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:52:03 time: 0.4513 data_time: 0.0454 memory: 4652 grad_norm: 3.9298 loss: 3.5964 loss_cls: 2.4102 loss_bbox: 1.1861 +2024/10/30 15:16:43 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 15:16:44 - mmengine - INFO - Epoch(train) [102][ 550/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:51:42 time: 0.4099 data_time: 0.0371 memory: 4652 grad_norm: 3.8998 loss: 3.6808 loss_cls: 2.4871 loss_bbox: 1.1938 +2024/10/30 15:17:06 - mmengine - INFO - Epoch(train) [102][ 600/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:51:20 time: 0.4236 data_time: 0.0377 memory: 4652 grad_norm: 4.1180 loss: 3.6938 loss_cls: 2.4473 loss_bbox: 1.2465 +2024/10/30 15:17:28 - mmengine - INFO - Epoch(train) [102][ 650/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:50:59 time: 0.4396 data_time: 0.0393 memory: 4652 grad_norm: 4.0964 loss: 3.6678 loss_cls: 2.4286 loss_bbox: 1.2392 +2024/10/30 15:17:49 - mmengine - INFO - Epoch(train) [102][ 700/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:50:37 time: 0.4213 data_time: 0.0372 memory: 4652 grad_norm: 3.9217 loss: 3.5099 loss_cls: 2.3552 loss_bbox: 1.1547 +2024/10/30 15:18:11 - mmengine - INFO - Epoch(train) [102][ 750/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:50:16 time: 0.4502 data_time: 0.0488 memory: 4652 grad_norm: 3.9610 loss: 3.5096 loss_cls: 2.3627 loss_bbox: 1.1469 +2024/10/30 15:18:32 - mmengine - INFO - Epoch(train) [102][ 800/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:49:54 time: 0.4204 data_time: 0.0388 memory: 4652 grad_norm: 4.1662 loss: 3.5939 loss_cls: 2.4113 loss_bbox: 1.1826 +2024/10/30 15:18:54 - mmengine - INFO - Epoch(train) [102][ 850/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:49:33 time: 0.4262 data_time: 0.0373 memory: 4652 grad_norm: 3.7414 loss: 3.6557 loss_cls: 2.4607 loss_bbox: 1.1950 +2024/10/30 15:19:15 - mmengine - INFO - Epoch(train) [102][ 900/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:49:11 time: 0.4345 data_time: 0.0390 memory: 4652 grad_norm: 4.2208 loss: 3.6955 loss_cls: 2.4743 loss_bbox: 1.2212 +2024/10/30 15:19:37 - mmengine - INFO - Epoch(train) [102][ 950/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:48:50 time: 0.4254 data_time: 0.0379 memory: 4652 grad_norm: 4.2054 loss: 3.5697 loss_cls: 2.3957 loss_bbox: 1.1741 +2024/10/30 15:19:58 - mmengine - INFO - Epoch(train) [102][1000/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:48:28 time: 0.4296 data_time: 0.0420 memory: 4652 grad_norm: 4.0781 loss: 3.5903 loss_cls: 2.4034 loss_bbox: 1.1868 +2024/10/30 15:20:20 - mmengine - INFO - Epoch(train) [102][1050/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:48:07 time: 0.4274 data_time: 0.0432 memory: 4652 grad_norm: 3.8328 loss: 3.6760 loss_cls: 2.4544 loss_bbox: 1.2216 +2024/10/30 15:20:41 - mmengine - INFO - Epoch(train) [102][1100/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:47:45 time: 0.4192 data_time: 0.0393 memory: 4652 grad_norm: 4.0876 loss: 3.6554 loss_cls: 2.4210 loss_bbox: 1.2344 +2024/10/30 15:21:02 - mmengine - INFO - Epoch(train) [102][1150/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:47:24 time: 0.4237 data_time: 0.0453 memory: 4652 grad_norm: 4.0840 loss: 3.6772 loss_cls: 2.4623 loss_bbox: 1.2149 +2024/10/30 15:21:27 - mmengine - INFO - Epoch(train) [102][1200/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:47:03 time: 0.5059 data_time: 0.1140 memory: 4652 grad_norm: 4.0704 loss: 3.5621 loss_cls: 2.3556 loss_bbox: 1.2065 +2024/10/30 15:21:48 - mmengine - INFO - Epoch(train) [102][1250/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:46:41 time: 0.4230 data_time: 0.0375 memory: 4652 grad_norm: 4.1571 loss: 3.5795 loss_cls: 2.3886 loss_bbox: 1.1909 +2024/10/30 15:22:10 - mmengine - INFO - Epoch(train) [102][1300/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:46:20 time: 0.4347 data_time: 0.0382 memory: 4652 grad_norm: 3.8557 loss: 3.6487 loss_cls: 2.4414 loss_bbox: 1.2073 +2024/10/30 15:22:32 - mmengine - INFO - Epoch(train) [102][1350/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:45:59 time: 0.4301 data_time: 0.0479 memory: 4652 grad_norm: 3.9252 loss: 3.7180 loss_cls: 2.4864 loss_bbox: 1.2316 +2024/10/30 15:22:53 - mmengine - INFO - Epoch(train) [102][1400/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:45:37 time: 0.4312 data_time: 0.0491 memory: 4652 grad_norm: 4.3882 loss: 3.6549 loss_cls: 2.4179 loss_bbox: 1.2370 +2024/10/30 15:23:15 - mmengine - INFO - Epoch(train) [102][1450/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:45:16 time: 0.4281 data_time: 0.0404 memory: 4652 grad_norm: 3.9674 loss: 3.6971 loss_cls: 2.4528 loss_bbox: 1.2443 +2024/10/30 15:23:35 - mmengine - INFO - Epoch(train) [102][1500/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:44:54 time: 0.4175 data_time: 0.0374 memory: 4652 grad_norm: 3.8698 loss: 3.6435 loss_cls: 2.4484 loss_bbox: 1.1951 +2024/10/30 15:23:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 15:23:57 - mmengine - INFO - Epoch(train) [102][1550/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:44:32 time: 0.4349 data_time: 0.0446 memory: 4652 grad_norm: 3.9757 loss: 3.5945 loss_cls: 2.4221 loss_bbox: 1.1725 +2024/10/30 15:24:18 - mmengine - INFO - Epoch(train) [102][1600/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:44:11 time: 0.4195 data_time: 0.0370 memory: 4652 grad_norm: 4.0834 loss: 3.5340 loss_cls: 2.3690 loss_bbox: 1.1650 +2024/10/30 15:24:40 - mmengine - INFO - Epoch(train) [102][1650/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:43:49 time: 0.4315 data_time: 0.0438 memory: 4652 grad_norm: 3.9255 loss: 3.6451 loss_cls: 2.4422 loss_bbox: 1.2029 +2024/10/30 15:25:01 - mmengine - INFO - Epoch(train) [102][1700/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:43:28 time: 0.4229 data_time: 0.0355 memory: 4652 grad_norm: 4.2580 loss: 3.6829 loss_cls: 2.4591 loss_bbox: 1.2237 +2024/10/30 15:25:22 - mmengine - INFO - Epoch(train) [102][1750/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:43:06 time: 0.4153 data_time: 0.0361 memory: 4652 grad_norm: 3.8892 loss: 3.6617 loss_cls: 2.4271 loss_bbox: 1.2345 +2024/10/30 15:25:44 - mmengine - INFO - Epoch(train) [102][1800/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:42:45 time: 0.4355 data_time: 0.0436 memory: 4652 grad_norm: 4.4036 loss: 3.6527 loss_cls: 2.4412 loss_bbox: 1.2115 +2024/10/30 15:26:05 - mmengine - INFO - Epoch(train) [102][1850/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:42:23 time: 0.4348 data_time: 0.0376 memory: 4652 grad_norm: 4.1140 loss: 3.6593 loss_cls: 2.4356 loss_bbox: 1.2237 +2024/10/30 15:26:27 - mmengine - INFO - Epoch(train) [102][1900/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:42:02 time: 0.4386 data_time: 0.0510 memory: 4652 grad_norm: 3.9702 loss: 3.7236 loss_cls: 2.4624 loss_bbox: 1.2612 +2024/10/30 15:26:49 - mmengine - INFO - Epoch(train) [102][1950/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:41:40 time: 0.4310 data_time: 0.0491 memory: 4652 grad_norm: 3.8282 loss: 3.5669 loss_cls: 2.4005 loss_bbox: 1.1663 +2024/10/30 15:27:09 - mmengine - INFO - Epoch(train) [102][2000/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:41:19 time: 0.4060 data_time: 0.0370 memory: 4652 grad_norm: 4.3277 loss: 3.6851 loss_cls: 2.4610 loss_bbox: 1.2240 +2024/10/30 15:27:31 - mmengine - INFO - Epoch(train) [102][2050/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:40:57 time: 0.4289 data_time: 0.0360 memory: 4652 grad_norm: 4.0263 loss: 3.6875 loss_cls: 2.4683 loss_bbox: 1.2192 +2024/10/30 15:27:52 - mmengine - INFO - Epoch(train) [102][2100/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:40:36 time: 0.4260 data_time: 0.0367 memory: 4652 grad_norm: 4.0816 loss: 3.6767 loss_cls: 2.4694 loss_bbox: 1.2073 +2024/10/30 15:28:13 - mmengine - INFO - Epoch(train) [102][2150/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:40:14 time: 0.4304 data_time: 0.0424 memory: 4652 grad_norm: 4.2770 loss: 3.6238 loss_cls: 2.4041 loss_bbox: 1.2197 +2024/10/30 15:28:34 - mmengine - INFO - Epoch(train) [102][2200/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:39:53 time: 0.4131 data_time: 0.0378 memory: 4652 grad_norm: 3.9445 loss: 3.6877 loss_cls: 2.4610 loss_bbox: 1.2267 +2024/10/30 15:28:55 - mmengine - INFO - Epoch(train) [102][2250/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:39:31 time: 0.4162 data_time: 0.0404 memory: 4652 grad_norm: 4.0185 loss: 3.6908 loss_cls: 2.4521 loss_bbox: 1.2386 +2024/10/30 15:29:17 - mmengine - INFO - Epoch(train) [102][2300/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:39:10 time: 0.4334 data_time: 0.0431 memory: 4652 grad_norm: 4.3250 loss: 3.5720 loss_cls: 2.3906 loss_bbox: 1.1814 +2024/10/30 15:29:37 - mmengine - INFO - Epoch(train) [102][2350/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:38:48 time: 0.4125 data_time: 0.0368 memory: 4652 grad_norm: 4.2658 loss: 3.6156 loss_cls: 2.4352 loss_bbox: 1.1803 +2024/10/30 15:29:58 - mmengine - INFO - Epoch(train) [102][2400/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:38:26 time: 0.4196 data_time: 0.0374 memory: 4652 grad_norm: 3.7007 loss: 3.6408 loss_cls: 2.3902 loss_bbox: 1.2507 +2024/10/30 15:30:20 - mmengine - INFO - Epoch(train) [102][2450/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:38:05 time: 0.4230 data_time: 0.0372 memory: 4652 grad_norm: 4.3895 loss: 3.5946 loss_cls: 2.3945 loss_bbox: 1.2002 +2024/10/30 15:30:40 - mmengine - INFO - Epoch(train) [102][2500/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:37:43 time: 0.4178 data_time: 0.0371 memory: 4652 grad_norm: 4.2699 loss: 3.6858 loss_cls: 2.4428 loss_bbox: 1.2430 +2024/10/30 15:31:00 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 15:31:01 - mmengine - INFO - Epoch(train) [102][2550/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:37:22 time: 0.4186 data_time: 0.0399 memory: 4652 grad_norm: 3.8404 loss: 3.6184 loss_cls: 2.4009 loss_bbox: 1.2176 +2024/10/30 15:31:26 - mmengine - INFO - Epoch(train) [102][2600/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:37:01 time: 0.4962 data_time: 0.1284 memory: 4652 grad_norm: 4.0907 loss: 3.6071 loss_cls: 2.4200 loss_bbox: 1.1872 +2024/10/30 15:31:48 - mmengine - INFO - Epoch(train) [102][2650/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:36:39 time: 0.4294 data_time: 0.0419 memory: 4652 grad_norm: 4.0675 loss: 3.5120 loss_cls: 2.3450 loss_bbox: 1.1669 +2024/10/30 15:32:09 - mmengine - INFO - Epoch(train) [102][2700/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:36:18 time: 0.4229 data_time: 0.0370 memory: 4652 grad_norm: 4.3536 loss: 3.5875 loss_cls: 2.3838 loss_bbox: 1.2037 +2024/10/30 15:32:30 - mmengine - INFO - Epoch(train) [102][2750/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:35:56 time: 0.4302 data_time: 0.0417 memory: 4652 grad_norm: 4.4072 loss: 3.6108 loss_cls: 2.4244 loss_bbox: 1.1864 +2024/10/30 15:32:52 - mmengine - INFO - Epoch(train) [102][2800/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:35:35 time: 0.4245 data_time: 0.0382 memory: 4652 grad_norm: 3.8764 loss: 3.6041 loss_cls: 2.4292 loss_bbox: 1.1749 +2024/10/30 15:33:12 - mmengine - INFO - Epoch(train) [102][2850/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:35:13 time: 0.4152 data_time: 0.0406 memory: 4652 grad_norm: 4.1122 loss: 3.5678 loss_cls: 2.3966 loss_bbox: 1.1712 +2024/10/30 15:33:34 - mmengine - INFO - Epoch(train) [102][2900/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:34:51 time: 0.4268 data_time: 0.0375 memory: 4652 grad_norm: 3.9401 loss: 3.6607 loss_cls: 2.4259 loss_bbox: 1.2348 +2024/10/30 15:33:55 - mmengine - INFO - Epoch(train) [102][2950/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:34:30 time: 0.4281 data_time: 0.0383 memory: 4652 grad_norm: 3.9781 loss: 3.6121 loss_cls: 2.4376 loss_bbox: 1.1745 +2024/10/30 15:34:16 - mmengine - INFO - Epoch(train) [102][3000/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:34:08 time: 0.4248 data_time: 0.0379 memory: 4652 grad_norm: 4.0977 loss: 3.6499 loss_cls: 2.4147 loss_bbox: 1.2352 +2024/10/30 15:34:38 - mmengine - INFO - Epoch(train) [102][3050/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 6:33:47 time: 0.4255 data_time: 0.0377 memory: 4652 grad_norm: 4.3767 loss: 3.6163 loss_cls: 2.3999 loss_bbox: 1.2164 +2024/10/30 15:34:39 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 15:34:39 - mmengine - INFO - Saving checkpoint at 102 epochs +2024/10/30 15:35:05 - mmengine - INFO - Epoch(train) [103][ 50/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:33:24 time: 0.4252 data_time: 0.0532 memory: 4652 grad_norm: 4.2494 loss: 3.6239 loss_cls: 2.4287 loss_bbox: 1.1951 +2024/10/30 15:35:27 - mmengine - INFO - Epoch(train) [103][ 100/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:33:02 time: 0.4448 data_time: 0.0567 memory: 4652 grad_norm: 3.9591 loss: 3.6765 loss_cls: 2.4526 loss_bbox: 1.2238 +2024/10/30 15:35:49 - mmengine - INFO - Epoch(train) [103][ 150/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:32:41 time: 0.4253 data_time: 0.0369 memory: 4652 grad_norm: 4.0869 loss: 3.5949 loss_cls: 2.3980 loss_bbox: 1.1969 +2024/10/30 15:36:10 - mmengine - INFO - Epoch(train) [103][ 200/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:32:19 time: 0.4228 data_time: 0.0486 memory: 4652 grad_norm: 4.2357 loss: 3.5877 loss_cls: 2.4051 loss_bbox: 1.1826 +2024/10/30 15:36:31 - mmengine - INFO - Epoch(train) [103][ 250/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:31:58 time: 0.4209 data_time: 0.0396 memory: 4652 grad_norm: 3.9698 loss: 3.5603 loss_cls: 2.3670 loss_bbox: 1.1933 +2024/10/30 15:36:51 - mmengine - INFO - Epoch(train) [103][ 300/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:31:36 time: 0.4096 data_time: 0.0428 memory: 4652 grad_norm: 4.2402 loss: 3.6552 loss_cls: 2.4515 loss_bbox: 1.2037 +2024/10/30 15:37:13 - mmengine - INFO - Epoch(train) [103][ 350/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:31:15 time: 0.4383 data_time: 0.0533 memory: 4652 grad_norm: 4.1047 loss: 3.5948 loss_cls: 2.4198 loss_bbox: 1.1749 +2024/10/30 15:37:34 - mmengine - INFO - Epoch(train) [103][ 400/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:30:53 time: 0.4223 data_time: 0.0403 memory: 4652 grad_norm: 3.9630 loss: 3.6209 loss_cls: 2.4150 loss_bbox: 1.2059 +2024/10/30 15:37:55 - mmengine - INFO - Epoch(train) [103][ 450/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:30:31 time: 0.4169 data_time: 0.0397 memory: 4652 grad_norm: 4.0768 loss: 3.5308 loss_cls: 2.3669 loss_bbox: 1.1639 +2024/10/30 15:38:13 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 15:38:17 - mmengine - INFO - Epoch(train) [103][ 500/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:30:10 time: 0.4236 data_time: 0.0406 memory: 4652 grad_norm: 4.0229 loss: 3.5892 loss_cls: 2.3682 loss_bbox: 1.2210 +2024/10/30 15:38:37 - mmengine - INFO - Epoch(train) [103][ 550/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:29:48 time: 0.4120 data_time: 0.0435 memory: 4652 grad_norm: 3.8104 loss: 3.6217 loss_cls: 2.3830 loss_bbox: 1.2387 +2024/10/30 15:38:58 - mmengine - INFO - Epoch(train) [103][ 600/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:29:27 time: 0.4192 data_time: 0.0483 memory: 4652 grad_norm: 4.4517 loss: 3.5506 loss_cls: 2.3978 loss_bbox: 1.1528 +2024/10/30 15:39:20 - mmengine - INFO - Epoch(train) [103][ 650/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:29:05 time: 0.4411 data_time: 0.0429 memory: 4652 grad_norm: 3.8184 loss: 3.6658 loss_cls: 2.4433 loss_bbox: 1.2225 +2024/10/30 15:39:42 - mmengine - INFO - Epoch(train) [103][ 700/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:28:44 time: 0.4238 data_time: 0.0403 memory: 4652 grad_norm: 4.2718 loss: 3.6341 loss_cls: 2.4023 loss_bbox: 1.2318 +2024/10/30 15:40:04 - mmengine - INFO - Epoch(train) [103][ 750/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:28:22 time: 0.4423 data_time: 0.0496 memory: 4652 grad_norm: 3.8096 loss: 3.5748 loss_cls: 2.3923 loss_bbox: 1.1825 +2024/10/30 15:40:26 - mmengine - INFO - Epoch(train) [103][ 800/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:28:01 time: 0.4492 data_time: 0.0690 memory: 4652 grad_norm: 3.9916 loss: 3.6897 loss_cls: 2.4750 loss_bbox: 1.2147 +2024/10/30 15:40:47 - mmengine - INFO - Epoch(train) [103][ 850/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:27:39 time: 0.4196 data_time: 0.0465 memory: 4652 grad_norm: 3.9412 loss: 3.5992 loss_cls: 2.4143 loss_bbox: 1.1849 +2024/10/30 15:41:09 - mmengine - INFO - Epoch(train) [103][ 900/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:27:18 time: 0.4376 data_time: 0.0385 memory: 4652 grad_norm: 3.7691 loss: 3.6462 loss_cls: 2.4196 loss_bbox: 1.2266 +2024/10/30 15:41:31 - mmengine - INFO - Epoch(train) [103][ 950/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:26:57 time: 0.4313 data_time: 0.0449 memory: 4652 grad_norm: 4.2223 loss: 3.5064 loss_cls: 2.3168 loss_bbox: 1.1895 +2024/10/30 15:41:52 - mmengine - INFO - Epoch(train) [103][1000/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:26:35 time: 0.4298 data_time: 0.0390 memory: 4652 grad_norm: 4.1315 loss: 3.5963 loss_cls: 2.3909 loss_bbox: 1.2054 +2024/10/30 15:42:14 - mmengine - INFO - Epoch(train) [103][1050/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:26:14 time: 0.4279 data_time: 0.0391 memory: 4652 grad_norm: 4.3520 loss: 3.6250 loss_cls: 2.4079 loss_bbox: 1.2171 +2024/10/30 15:42:35 - mmengine - INFO - Epoch(train) [103][1100/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:25:52 time: 0.4231 data_time: 0.0473 memory: 4652 grad_norm: 4.0251 loss: 3.6331 loss_cls: 2.4168 loss_bbox: 1.2163 +2024/10/30 15:42:56 - mmengine - INFO - Epoch(train) [103][1150/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:25:31 time: 0.4320 data_time: 0.0401 memory: 4652 grad_norm: 3.9202 loss: 3.4852 loss_cls: 2.3477 loss_bbox: 1.1375 +2024/10/30 15:43:18 - mmengine - INFO - Epoch(train) [103][1200/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:25:09 time: 0.4259 data_time: 0.0401 memory: 4652 grad_norm: 3.9244 loss: 3.5400 loss_cls: 2.3684 loss_bbox: 1.1716 +2024/10/30 15:43:39 - mmengine - INFO - Epoch(train) [103][1250/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:24:47 time: 0.4240 data_time: 0.0418 memory: 4652 grad_norm: 3.8371 loss: 3.5487 loss_cls: 2.3888 loss_bbox: 1.1599 +2024/10/30 15:44:00 - mmengine - INFO - Epoch(train) [103][1300/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:24:26 time: 0.4169 data_time: 0.0394 memory: 4652 grad_norm: 4.0688 loss: 3.5459 loss_cls: 2.3956 loss_bbox: 1.1503 +2024/10/30 15:44:23 - mmengine - INFO - Epoch(train) [103][1350/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:24:05 time: 0.4548 data_time: 0.0616 memory: 4652 grad_norm: 4.2459 loss: 3.6210 loss_cls: 2.4110 loss_bbox: 1.2100 +2024/10/30 15:44:44 - mmengine - INFO - Epoch(train) [103][1400/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:23:43 time: 0.4253 data_time: 0.0401 memory: 4652 grad_norm: 3.9962 loss: 3.5413 loss_cls: 2.3612 loss_bbox: 1.1801 +2024/10/30 15:45:06 - mmengine - INFO - Epoch(train) [103][1450/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:23:22 time: 0.4299 data_time: 0.0460 memory: 4652 grad_norm: 4.3747 loss: 3.6325 loss_cls: 2.4381 loss_bbox: 1.1943 +2024/10/30 15:45:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 15:45:27 - mmengine - INFO - Epoch(train) [103][1500/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:23:00 time: 0.4345 data_time: 0.0468 memory: 4652 grad_norm: 4.2237 loss: 3.6585 loss_cls: 2.4384 loss_bbox: 1.2200 +2024/10/30 15:45:49 - mmengine - INFO - Epoch(train) [103][1550/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:22:39 time: 0.4430 data_time: 0.0433 memory: 4652 grad_norm: 4.3398 loss: 3.6396 loss_cls: 2.4419 loss_bbox: 1.1976 +2024/10/30 15:46:10 - mmengine - INFO - Epoch(train) [103][1600/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:22:17 time: 0.4158 data_time: 0.0395 memory: 4652 grad_norm: 4.0162 loss: 3.5715 loss_cls: 2.4146 loss_bbox: 1.1568 +2024/10/30 15:46:32 - mmengine - INFO - Epoch(train) [103][1650/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:21:56 time: 0.4290 data_time: 0.0381 memory: 4652 grad_norm: 4.0634 loss: 3.6061 loss_cls: 2.4099 loss_bbox: 1.1962 +2024/10/30 15:46:53 - mmengine - INFO - Epoch(train) [103][1700/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:21:34 time: 0.4252 data_time: 0.0478 memory: 4652 grad_norm: 4.1254 loss: 3.6339 loss_cls: 2.4207 loss_bbox: 1.2133 +2024/10/30 15:47:14 - mmengine - INFO - Epoch(train) [103][1750/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:21:13 time: 0.4190 data_time: 0.0403 memory: 4652 grad_norm: 4.1448 loss: 3.5212 loss_cls: 2.3446 loss_bbox: 1.1766 +2024/10/30 15:47:36 - mmengine - INFO - Epoch(train) [103][1800/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:20:51 time: 0.4386 data_time: 0.0419 memory: 4652 grad_norm: 4.0343 loss: 3.6852 loss_cls: 2.4162 loss_bbox: 1.2690 +2024/10/30 15:47:58 - mmengine - INFO - Epoch(train) [103][1850/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:20:30 time: 0.4318 data_time: 0.0460 memory: 4652 grad_norm: 4.0378 loss: 3.5748 loss_cls: 2.4016 loss_bbox: 1.1732 +2024/10/30 15:48:19 - mmengine - INFO - Epoch(train) [103][1900/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:20:08 time: 0.4357 data_time: 0.0465 memory: 4652 grad_norm: 3.9840 loss: 3.5977 loss_cls: 2.4110 loss_bbox: 1.1867 +2024/10/30 15:48:41 - mmengine - INFO - Epoch(train) [103][1950/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:19:47 time: 0.4277 data_time: 0.0478 memory: 4652 grad_norm: 4.1593 loss: 3.6146 loss_cls: 2.3824 loss_bbox: 1.2322 +2024/10/30 15:49:02 - mmengine - INFO - Epoch(train) [103][2000/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:19:25 time: 0.4243 data_time: 0.0400 memory: 4652 grad_norm: 4.1744 loss: 3.5991 loss_cls: 2.4153 loss_bbox: 1.1838 +2024/10/30 15:49:27 - mmengine - INFO - Epoch(train) [103][2050/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:19:04 time: 0.4941 data_time: 0.1051 memory: 4652 grad_norm: 3.9867 loss: 3.6142 loss_cls: 2.3903 loss_bbox: 1.2239 +2024/10/30 15:49:48 - mmengine - INFO - Epoch(train) [103][2100/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:18:43 time: 0.4241 data_time: 0.0504 memory: 4652 grad_norm: 4.4654 loss: 3.6284 loss_cls: 2.4194 loss_bbox: 1.2090 +2024/10/30 15:50:10 - mmengine - INFO - Epoch(train) [103][2150/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:18:21 time: 0.4373 data_time: 0.0452 memory: 4652 grad_norm: 3.9235 loss: 3.5695 loss_cls: 2.3929 loss_bbox: 1.1765 +2024/10/30 15:50:32 - mmengine - INFO - Epoch(train) [103][2200/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:18:00 time: 0.4338 data_time: 0.0467 memory: 4652 grad_norm: 3.9232 loss: 3.6439 loss_cls: 2.4342 loss_bbox: 1.2096 +2024/10/30 15:50:53 - mmengine - INFO - Epoch(train) [103][2250/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:17:38 time: 0.4149 data_time: 0.0406 memory: 4652 grad_norm: 3.9485 loss: 3.5440 loss_cls: 2.3794 loss_bbox: 1.1647 +2024/10/30 15:51:15 - mmengine - INFO - Epoch(train) [103][2300/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:17:17 time: 0.4515 data_time: 0.0453 memory: 4652 grad_norm: 4.2786 loss: 3.6959 loss_cls: 2.4692 loss_bbox: 1.2267 +2024/10/30 15:51:36 - mmengine - INFO - Epoch(train) [103][2350/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:16:55 time: 0.4218 data_time: 0.0390 memory: 4652 grad_norm: 3.9121 loss: 3.6762 loss_cls: 2.4851 loss_bbox: 1.1910 +2024/10/30 15:51:58 - mmengine - INFO - Epoch(train) [103][2400/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:16:34 time: 0.4427 data_time: 0.0447 memory: 4652 grad_norm: 4.2925 loss: 3.5906 loss_cls: 2.3785 loss_bbox: 1.2121 +2024/10/30 15:52:20 - mmengine - INFO - Epoch(train) [103][2450/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:16:13 time: 0.4376 data_time: 0.0479 memory: 4652 grad_norm: 3.8122 loss: 3.5950 loss_cls: 2.4237 loss_bbox: 1.1714 +2024/10/30 15:52:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 15:52:42 - mmengine - INFO - Epoch(train) [103][2500/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:15:51 time: 0.4270 data_time: 0.0410 memory: 4652 grad_norm: 4.3784 loss: 3.6485 loss_cls: 2.4065 loss_bbox: 1.2420 +2024/10/30 15:53:04 - mmengine - INFO - Epoch(train) [103][2550/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:15:30 time: 0.4352 data_time: 0.0386 memory: 4652 grad_norm: 4.3004 loss: 3.5428 loss_cls: 2.3729 loss_bbox: 1.1699 +2024/10/30 15:53:26 - mmengine - INFO - Epoch(train) [103][2600/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:15:08 time: 0.4571 data_time: 0.0620 memory: 4652 grad_norm: 4.3938 loss: 3.6624 loss_cls: 2.4440 loss_bbox: 1.2184 +2024/10/30 15:53:48 - mmengine - INFO - Epoch(train) [103][2650/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:14:47 time: 0.4382 data_time: 0.0377 memory: 4652 grad_norm: 4.3681 loss: 3.5871 loss_cls: 2.3817 loss_bbox: 1.2055 +2024/10/30 15:54:10 - mmengine - INFO - Epoch(train) [103][2700/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:14:26 time: 0.4412 data_time: 0.0377 memory: 4652 grad_norm: 4.1860 loss: 3.6007 loss_cls: 2.4115 loss_bbox: 1.1892 +2024/10/30 15:54:32 - mmengine - INFO - Epoch(train) [103][2750/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:14:04 time: 0.4271 data_time: 0.0400 memory: 4652 grad_norm: 4.5024 loss: 3.5673 loss_cls: 2.3763 loss_bbox: 1.1910 +2024/10/30 15:54:54 - mmengine - INFO - Epoch(train) [103][2800/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:13:43 time: 0.4491 data_time: 0.0494 memory: 4652 grad_norm: 3.9358 loss: 3.5398 loss_cls: 2.3687 loss_bbox: 1.1711 +2024/10/30 15:55:16 - mmengine - INFO - Epoch(train) [103][2850/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:13:21 time: 0.4345 data_time: 0.0394 memory: 4652 grad_norm: 4.0976 loss: 3.5446 loss_cls: 2.3778 loss_bbox: 1.1668 +2024/10/30 15:55:38 - mmengine - INFO - Epoch(train) [103][2900/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:13:00 time: 0.4341 data_time: 0.0397 memory: 4652 grad_norm: 4.2447 loss: 3.6552 loss_cls: 2.4328 loss_bbox: 1.2224 +2024/10/30 15:55:59 - mmengine - INFO - Epoch(train) [103][2950/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:12:38 time: 0.4246 data_time: 0.0444 memory: 4652 grad_norm: 4.3380 loss: 3.6263 loss_cls: 2.4014 loss_bbox: 1.2249 +2024/10/30 15:56:20 - mmengine - INFO - Epoch(train) [103][3000/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:12:17 time: 0.4217 data_time: 0.0389 memory: 4652 grad_norm: 4.3072 loss: 3.6027 loss_cls: 2.3957 loss_bbox: 1.2070 +2024/10/30 15:56:41 - mmengine - INFO - Epoch(train) [103][3050/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 6:11:55 time: 0.4269 data_time: 0.0421 memory: 4652 grad_norm: 4.1639 loss: 3.5958 loss_cls: 2.4033 loss_bbox: 1.1925 +2024/10/30 15:56:43 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 15:56:43 - mmengine - INFO - Saving checkpoint at 103 epochs +2024/10/30 15:57:10 - mmengine - INFO - Epoch(train) [104][ 50/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:11:32 time: 0.4409 data_time: 0.0624 memory: 4652 grad_norm: 3.8539 loss: 3.6502 loss_cls: 2.4192 loss_bbox: 1.2309 +2024/10/30 15:57:32 - mmengine - INFO - Epoch(train) [104][ 100/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:11:11 time: 0.4267 data_time: 0.0398 memory: 4652 grad_norm: 3.8662 loss: 3.5148 loss_cls: 2.3677 loss_bbox: 1.1471 +2024/10/30 15:57:53 - mmengine - INFO - Epoch(train) [104][ 150/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:10:49 time: 0.4305 data_time: 0.0469 memory: 4652 grad_norm: 3.9618 loss: 3.5382 loss_cls: 2.3772 loss_bbox: 1.1609 +2024/10/30 15:58:14 - mmengine - INFO - Epoch(train) [104][ 200/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:10:27 time: 0.4203 data_time: 0.0387 memory: 4652 grad_norm: 4.0600 loss: 3.6517 loss_cls: 2.4102 loss_bbox: 1.2416 +2024/10/30 15:58:36 - mmengine - INFO - Epoch(train) [104][ 250/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:10:06 time: 0.4273 data_time: 0.0399 memory: 4652 grad_norm: 4.1048 loss: 3.5270 loss_cls: 2.3712 loss_bbox: 1.1558 +2024/10/30 15:58:57 - mmengine - INFO - Epoch(train) [104][ 300/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:09:45 time: 0.4329 data_time: 0.0374 memory: 4652 grad_norm: 3.9052 loss: 3.5543 loss_cls: 2.3663 loss_bbox: 1.1881 +2024/10/30 15:59:19 - mmengine - INFO - Epoch(train) [104][ 350/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:09:23 time: 0.4351 data_time: 0.0399 memory: 4652 grad_norm: 4.0824 loss: 3.6010 loss_cls: 2.3831 loss_bbox: 1.2180 +2024/10/30 15:59:41 - mmengine - INFO - Epoch(train) [104][ 400/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:09:02 time: 0.4419 data_time: 0.0519 memory: 4652 grad_norm: 3.7895 loss: 3.4642 loss_cls: 2.2848 loss_bbox: 1.1794 +2024/10/30 15:59:58 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 16:00:03 - mmengine - INFO - Epoch(train) [104][ 450/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:08:40 time: 0.4314 data_time: 0.0429 memory: 4652 grad_norm: 3.9547 loss: 3.5476 loss_cls: 2.3679 loss_bbox: 1.1797 +2024/10/30 16:00:27 - mmengine - INFO - Epoch(train) [104][ 500/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:08:19 time: 0.4873 data_time: 0.0909 memory: 4652 grad_norm: 3.9212 loss: 3.5615 loss_cls: 2.3779 loss_bbox: 1.1837 +2024/10/30 16:00:49 - mmengine - INFO - Epoch(train) [104][ 550/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:07:58 time: 0.4263 data_time: 0.0401 memory: 4652 grad_norm: 3.8698 loss: 3.5402 loss_cls: 2.3639 loss_bbox: 1.1763 +2024/10/30 16:01:10 - mmengine - INFO - Epoch(train) [104][ 600/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:07:36 time: 0.4259 data_time: 0.0391 memory: 4652 grad_norm: 4.1260 loss: 3.5982 loss_cls: 2.3739 loss_bbox: 1.2243 +2024/10/30 16:01:32 - mmengine - INFO - Epoch(train) [104][ 650/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:07:15 time: 0.4413 data_time: 0.0391 memory: 4652 grad_norm: 3.8239 loss: 3.5805 loss_cls: 2.3832 loss_bbox: 1.1973 +2024/10/30 16:01:53 - mmengine - INFO - Epoch(train) [104][ 700/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:06:53 time: 0.4239 data_time: 0.0434 memory: 4652 grad_norm: 3.9081 loss: 3.6150 loss_cls: 2.3921 loss_bbox: 1.2230 +2024/10/30 16:02:15 - mmengine - INFO - Epoch(train) [104][ 750/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:06:32 time: 0.4396 data_time: 0.0474 memory: 4652 grad_norm: 3.9126 loss: 3.5061 loss_cls: 2.3405 loss_bbox: 1.1656 +2024/10/30 16:02:37 - mmengine - INFO - Epoch(train) [104][ 800/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:06:10 time: 0.4306 data_time: 0.0391 memory: 4652 grad_norm: 4.0955 loss: 3.5364 loss_cls: 2.3525 loss_bbox: 1.1840 +2024/10/30 16:02:57 - mmengine - INFO - Epoch(train) [104][ 850/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:05:49 time: 0.4121 data_time: 0.0385 memory: 4652 grad_norm: 4.4807 loss: 3.6010 loss_cls: 2.4248 loss_bbox: 1.1762 +2024/10/30 16:03:20 - mmengine - INFO - Epoch(train) [104][ 900/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:05:27 time: 0.4475 data_time: 0.0521 memory: 4652 grad_norm: 4.8075 loss: 3.5236 loss_cls: 2.3700 loss_bbox: 1.1536 +2024/10/30 16:03:41 - mmengine - INFO - Epoch(train) [104][ 950/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:05:06 time: 0.4270 data_time: 0.0483 memory: 4652 grad_norm: 4.1718 loss: 3.5677 loss_cls: 2.3676 loss_bbox: 1.2001 +2024/10/30 16:04:04 - mmengine - INFO - Epoch(train) [104][1000/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:04:44 time: 0.4477 data_time: 0.0443 memory: 4652 grad_norm: 3.8606 loss: 3.4922 loss_cls: 2.3235 loss_bbox: 1.1687 +2024/10/30 16:04:27 - mmengine - INFO - Epoch(train) [104][1050/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:04:23 time: 0.4672 data_time: 0.0784 memory: 4652 grad_norm: 3.9621 loss: 3.5823 loss_cls: 2.3678 loss_bbox: 1.2145 +2024/10/30 16:04:48 - mmengine - INFO - Epoch(train) [104][1100/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:04:02 time: 0.4260 data_time: 0.0395 memory: 4652 grad_norm: 4.5909 loss: 3.5172 loss_cls: 2.3546 loss_bbox: 1.1626 +2024/10/30 16:05:11 - mmengine - INFO - Epoch(train) [104][1150/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:03:40 time: 0.4483 data_time: 0.0376 memory: 4652 grad_norm: 4.2149 loss: 3.5189 loss_cls: 2.3508 loss_bbox: 1.1681 +2024/10/30 16:05:32 - mmengine - INFO - Epoch(train) [104][1200/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:03:19 time: 0.4222 data_time: 0.0398 memory: 4652 grad_norm: 4.0570 loss: 3.6464 loss_cls: 2.4031 loss_bbox: 1.2433 +2024/10/30 16:05:54 - mmengine - INFO - Epoch(train) [104][1250/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:02:57 time: 0.4430 data_time: 0.0395 memory: 4652 grad_norm: 4.6179 loss: 3.6653 loss_cls: 2.4250 loss_bbox: 1.2402 +2024/10/30 16:06:16 - mmengine - INFO - Epoch(train) [104][1300/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:02:36 time: 0.4370 data_time: 0.0431 memory: 4652 grad_norm: 4.0286 loss: 3.3878 loss_cls: 2.2908 loss_bbox: 1.0971 +2024/10/30 16:06:37 - mmengine - INFO - Epoch(train) [104][1350/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:02:15 time: 0.4209 data_time: 0.0390 memory: 4652 grad_norm: 4.1632 loss: 3.6396 loss_cls: 2.4099 loss_bbox: 1.2296 +2024/10/30 16:07:00 - mmengine - INFO - Epoch(train) [104][1400/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:01:53 time: 0.4487 data_time: 0.0484 memory: 4652 grad_norm: 4.3402 loss: 3.5637 loss_cls: 2.3803 loss_bbox: 1.1833 +2024/10/30 16:07:16 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 16:07:21 - mmengine - INFO - Epoch(train) [104][1450/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:01:32 time: 0.4351 data_time: 0.0451 memory: 4652 grad_norm: 4.0333 loss: 3.4549 loss_cls: 2.3241 loss_bbox: 1.1307 +2024/10/30 16:07:43 - mmengine - INFO - Epoch(train) [104][1500/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:01:10 time: 0.4405 data_time: 0.0472 memory: 4652 grad_norm: 4.2201 loss: 3.6018 loss_cls: 2.4142 loss_bbox: 1.1875 +2024/10/30 16:08:05 - mmengine - INFO - Epoch(train) [104][1550/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:00:49 time: 0.4367 data_time: 0.0375 memory: 4652 grad_norm: 4.0659 loss: 3.5620 loss_cls: 2.3782 loss_bbox: 1.1838 +2024/10/30 16:08:27 - mmengine - INFO - Epoch(train) [104][1600/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:00:27 time: 0.4379 data_time: 0.0599 memory: 4652 grad_norm: 4.0919 loss: 3.4546 loss_cls: 2.3270 loss_bbox: 1.1276 +2024/10/30 16:08:50 - mmengine - INFO - Epoch(train) [104][1650/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 6:00:06 time: 0.4498 data_time: 0.0431 memory: 4652 grad_norm: 4.0669 loss: 3.5814 loss_cls: 2.4214 loss_bbox: 1.1599 +2024/10/30 16:09:11 - mmengine - INFO - Epoch(train) [104][1700/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:59:45 time: 0.4310 data_time: 0.0388 memory: 4652 grad_norm: 4.2110 loss: 3.5327 loss_cls: 2.3494 loss_bbox: 1.1833 +2024/10/30 16:09:33 - mmengine - INFO - Epoch(train) [104][1750/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:59:23 time: 0.4439 data_time: 0.0376 memory: 4652 grad_norm: 4.1200 loss: 3.5547 loss_cls: 2.3975 loss_bbox: 1.1572 +2024/10/30 16:09:55 - mmengine - INFO - Epoch(train) [104][1800/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:59:02 time: 0.4253 data_time: 0.0384 memory: 4652 grad_norm: 3.8653 loss: 3.6313 loss_cls: 2.3976 loss_bbox: 1.2337 +2024/10/30 16:10:16 - mmengine - INFO - Epoch(train) [104][1850/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:58:40 time: 0.4144 data_time: 0.0399 memory: 4652 grad_norm: 4.0161 loss: 3.5534 loss_cls: 2.3846 loss_bbox: 1.1688 +2024/10/30 16:10:39 - mmengine - INFO - Epoch(train) [104][1900/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:58:19 time: 0.4622 data_time: 0.0573 memory: 4652 grad_norm: 3.9936 loss: 3.5236 loss_cls: 2.3475 loss_bbox: 1.1761 +2024/10/30 16:11:00 - mmengine - INFO - Epoch(train) [104][1950/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:57:57 time: 0.4217 data_time: 0.0393 memory: 4652 grad_norm: 4.4745 loss: 3.6017 loss_cls: 2.4026 loss_bbox: 1.1991 +2024/10/30 16:11:22 - mmengine - INFO - Epoch(train) [104][2000/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:57:36 time: 0.4423 data_time: 0.0390 memory: 4652 grad_norm: 4.1528 loss: 3.6071 loss_cls: 2.4140 loss_bbox: 1.1930 +2024/10/30 16:11:43 - mmengine - INFO - Epoch(train) [104][2050/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:57:14 time: 0.4293 data_time: 0.0377 memory: 4652 grad_norm: 4.5423 loss: 3.6168 loss_cls: 2.4044 loss_bbox: 1.2124 +2024/10/30 16:12:04 - mmengine - INFO - Epoch(train) [104][2100/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:56:53 time: 0.4196 data_time: 0.0441 memory: 4652 grad_norm: 4.4383 loss: 3.5672 loss_cls: 2.3647 loss_bbox: 1.2025 +2024/10/30 16:12:27 - mmengine - INFO - Epoch(train) [104][2150/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:56:32 time: 0.4486 data_time: 0.0571 memory: 4652 grad_norm: 4.2617 loss: 3.4987 loss_cls: 2.3510 loss_bbox: 1.1478 +2024/10/30 16:12:48 - mmengine - INFO - Epoch(train) [104][2200/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:56:10 time: 0.4297 data_time: 0.0421 memory: 4652 grad_norm: 4.2047 loss: 3.5454 loss_cls: 2.3620 loss_bbox: 1.1834 +2024/10/30 16:13:10 - mmengine - INFO - Epoch(train) [104][2250/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:55:49 time: 0.4408 data_time: 0.0413 memory: 4652 grad_norm: 4.6256 loss: 3.6194 loss_cls: 2.4028 loss_bbox: 1.2166 +2024/10/30 16:13:33 - mmengine - INFO - Epoch(train) [104][2300/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:55:27 time: 0.4418 data_time: 0.0380 memory: 4652 grad_norm: 4.1479 loss: 3.5397 loss_cls: 2.3529 loss_bbox: 1.1869 +2024/10/30 16:13:53 - mmengine - INFO - Epoch(train) [104][2350/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:55:06 time: 0.4172 data_time: 0.0418 memory: 4652 grad_norm: 3.7120 loss: 3.5529 loss_cls: 2.3861 loss_bbox: 1.1669 +2024/10/30 16:14:16 - mmengine - INFO - Epoch(train) [104][2400/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:54:44 time: 0.4508 data_time: 0.0543 memory: 4652 grad_norm: 4.4504 loss: 3.5577 loss_cls: 2.3896 loss_bbox: 1.1681 +2024/10/30 16:14:33 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 16:14:38 - mmengine - INFO - Epoch(train) [104][2450/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:54:23 time: 0.4360 data_time: 0.0456 memory: 4652 grad_norm: 4.0838 loss: 3.5629 loss_cls: 2.3801 loss_bbox: 1.1827 +2024/10/30 16:15:00 - mmengine - INFO - Epoch(train) [104][2500/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:54:02 time: 0.4512 data_time: 0.0431 memory: 4652 grad_norm: 4.2935 loss: 3.5037 loss_cls: 2.3723 loss_bbox: 1.1314 +2024/10/30 16:15:22 - mmengine - INFO - Epoch(train) [104][2550/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:53:40 time: 0.4300 data_time: 0.0393 memory: 4652 grad_norm: 4.4404 loss: 3.5219 loss_cls: 2.3414 loss_bbox: 1.1806 +2024/10/30 16:15:44 - mmengine - INFO - Epoch(train) [104][2600/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:53:19 time: 0.4354 data_time: 0.0400 memory: 4652 grad_norm: 4.1839 loss: 3.6226 loss_cls: 2.4218 loss_bbox: 1.2007 +2024/10/30 16:16:06 - mmengine - INFO - Epoch(train) [104][2650/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:52:57 time: 0.4404 data_time: 0.0440 memory: 4652 grad_norm: 4.4455 loss: 3.5569 loss_cls: 2.3626 loss_bbox: 1.1943 +2024/10/30 16:16:28 - mmengine - INFO - Epoch(train) [104][2700/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:52:36 time: 0.4379 data_time: 0.0425 memory: 4652 grad_norm: 4.0853 loss: 3.5153 loss_cls: 2.3424 loss_bbox: 1.1729 +2024/10/30 16:16:51 - mmengine - INFO - Epoch(train) [104][2750/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:52:15 time: 0.4592 data_time: 0.0369 memory: 4652 grad_norm: 4.1039 loss: 3.5548 loss_cls: 2.3653 loss_bbox: 1.1895 +2024/10/30 16:17:13 - mmengine - INFO - Epoch(train) [104][2800/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:51:53 time: 0.4387 data_time: 0.0409 memory: 4652 grad_norm: 4.0691 loss: 3.4992 loss_cls: 2.3380 loss_bbox: 1.1612 +2024/10/30 16:17:35 - mmengine - INFO - Epoch(train) [104][2850/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:51:32 time: 0.4488 data_time: 0.0391 memory: 4652 grad_norm: 4.2389 loss: 3.4401 loss_cls: 2.3347 loss_bbox: 1.1054 +2024/10/30 16:17:58 - mmengine - INFO - Epoch(train) [104][2900/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:51:10 time: 0.4593 data_time: 0.0576 memory: 4652 grad_norm: 4.2063 loss: 3.6128 loss_cls: 2.4189 loss_bbox: 1.1939 +2024/10/30 16:18:20 - mmengine - INFO - Epoch(train) [104][2950/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:50:49 time: 0.4292 data_time: 0.0389 memory: 4652 grad_norm: 4.2018 loss: 3.5836 loss_cls: 2.3558 loss_bbox: 1.2278 +2024/10/30 16:18:43 - mmengine - INFO - Epoch(train) [104][3000/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:50:28 time: 0.4624 data_time: 0.0468 memory: 4652 grad_norm: 4.2006 loss: 3.5394 loss_cls: 2.3416 loss_bbox: 1.1978 +2024/10/30 16:19:04 - mmengine - INFO - Epoch(train) [104][3050/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 5:50:06 time: 0.4285 data_time: 0.0396 memory: 4652 grad_norm: 4.0952 loss: 3.5073 loss_cls: 2.3399 loss_bbox: 1.1674 +2024/10/30 16:19:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 16:19:08 - mmengine - INFO - Saving checkpoint at 104 epochs +2024/10/30 16:19:35 - mmengine - INFO - Epoch(train) [105][ 50/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:49:43 time: 0.4500 data_time: 0.0640 memory: 4652 grad_norm: 4.2217 loss: 3.5252 loss_cls: 2.3154 loss_bbox: 1.2098 +2024/10/30 16:19:57 - mmengine - INFO - Epoch(train) [105][ 100/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:49:22 time: 0.4231 data_time: 0.0421 memory: 4652 grad_norm: 4.2801 loss: 3.5252 loss_cls: 2.3440 loss_bbox: 1.1812 +2024/10/30 16:20:18 - mmengine - INFO - Epoch(train) [105][ 150/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:49:00 time: 0.4355 data_time: 0.0507 memory: 4652 grad_norm: 3.8404 loss: 3.4882 loss_cls: 2.3368 loss_bbox: 1.1514 +2024/10/30 16:20:40 - mmengine - INFO - Epoch(train) [105][ 200/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:48:39 time: 0.4371 data_time: 0.0427 memory: 4652 grad_norm: 4.1204 loss: 3.5144 loss_cls: 2.3496 loss_bbox: 1.1648 +2024/10/30 16:21:01 - mmengine - INFO - Epoch(train) [105][ 250/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:48:17 time: 0.4234 data_time: 0.0401 memory: 4652 grad_norm: 4.6897 loss: 3.5237 loss_cls: 2.3105 loss_bbox: 1.2132 +2024/10/30 16:21:23 - mmengine - INFO - Epoch(train) [105][ 300/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:47:56 time: 0.4390 data_time: 0.0505 memory: 4652 grad_norm: 4.1701 loss: 3.4730 loss_cls: 2.2933 loss_bbox: 1.1797 +2024/10/30 16:21:45 - mmengine - INFO - Epoch(train) [105][ 350/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:47:35 time: 0.4360 data_time: 0.0449 memory: 4652 grad_norm: 4.4708 loss: 3.5166 loss_cls: 2.3212 loss_bbox: 1.1954 +2024/10/30 16:21:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 16:22:06 - mmengine - INFO - Epoch(train) [105][ 400/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:47:13 time: 0.4238 data_time: 0.0413 memory: 4652 grad_norm: 4.6144 loss: 3.5242 loss_cls: 2.3681 loss_bbox: 1.1561 +2024/10/30 16:22:29 - mmengine - INFO - Epoch(train) [105][ 450/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:46:52 time: 0.4404 data_time: 0.0498 memory: 4652 grad_norm: 4.3835 loss: 3.4351 loss_cls: 2.3233 loss_bbox: 1.1118 +2024/10/30 16:22:50 - mmengine - INFO - Epoch(train) [105][ 500/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:46:30 time: 0.4389 data_time: 0.0414 memory: 4652 grad_norm: 4.1073 loss: 3.5456 loss_cls: 2.3217 loss_bbox: 1.2239 +2024/10/30 16:23:12 - mmengine - INFO - Epoch(train) [105][ 550/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:46:09 time: 0.4264 data_time: 0.0472 memory: 4652 grad_norm: 4.1117 loss: 3.4821 loss_cls: 2.3344 loss_bbox: 1.1477 +2024/10/30 16:23:33 - mmengine - INFO - Epoch(train) [105][ 600/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:45:47 time: 0.4255 data_time: 0.0420 memory: 4652 grad_norm: 4.0378 loss: 3.4056 loss_cls: 2.2855 loss_bbox: 1.1201 +2024/10/30 16:23:55 - mmengine - INFO - Epoch(train) [105][ 650/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:45:26 time: 0.4431 data_time: 0.0584 memory: 4652 grad_norm: 4.3587 loss: 3.5962 loss_cls: 2.3929 loss_bbox: 1.2033 +2024/10/30 16:24:16 - mmengine - INFO - Epoch(train) [105][ 700/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:45:04 time: 0.4205 data_time: 0.0402 memory: 4652 grad_norm: 4.2458 loss: 3.5364 loss_cls: 2.3402 loss_bbox: 1.1962 +2024/10/30 16:24:38 - mmengine - INFO - Epoch(train) [105][ 750/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:44:43 time: 0.4218 data_time: 0.0398 memory: 4652 grad_norm: 4.8529 loss: 3.5511 loss_cls: 2.3654 loss_bbox: 1.1857 +2024/10/30 16:24:59 - mmengine - INFO - Epoch(train) [105][ 800/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:44:21 time: 0.4199 data_time: 0.0473 memory: 4652 grad_norm: 3.8602 loss: 3.4707 loss_cls: 2.3017 loss_bbox: 1.1689 +2024/10/30 16:25:20 - mmengine - INFO - Epoch(train) [105][ 850/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:44:00 time: 0.4277 data_time: 0.0404 memory: 4652 grad_norm: 4.0691 loss: 3.5585 loss_cls: 2.3400 loss_bbox: 1.2186 +2024/10/30 16:25:41 - mmengine - INFO - Epoch(train) [105][ 900/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:43:38 time: 0.4230 data_time: 0.0481 memory: 4652 grad_norm: 4.0754 loss: 3.5379 loss_cls: 2.3610 loss_bbox: 1.1769 +2024/10/30 16:26:03 - mmengine - INFO - Epoch(train) [105][ 950/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:43:17 time: 0.4282 data_time: 0.0434 memory: 4652 grad_norm: 4.2119 loss: 3.5539 loss_cls: 2.3750 loss_bbox: 1.1789 +2024/10/30 16:26:26 - mmengine - INFO - Epoch(train) [105][1000/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:42:55 time: 0.4639 data_time: 0.0825 memory: 4652 grad_norm: 4.4324 loss: 3.5085 loss_cls: 2.3265 loss_bbox: 1.1820 +2024/10/30 16:26:47 - mmengine - INFO - Epoch(train) [105][1050/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:42:34 time: 0.4178 data_time: 0.0454 memory: 4652 grad_norm: 4.1587 loss: 3.4440 loss_cls: 2.2819 loss_bbox: 1.1621 +2024/10/30 16:27:08 - mmengine - INFO - Epoch(train) [105][1100/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:42:12 time: 0.4330 data_time: 0.0461 memory: 4652 grad_norm: 4.2363 loss: 3.5363 loss_cls: 2.3560 loss_bbox: 1.1804 +2024/10/30 16:27:29 - mmengine - INFO - Epoch(train) [105][1150/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:41:51 time: 0.4127 data_time: 0.0393 memory: 4652 grad_norm: 4.4435 loss: 3.6124 loss_cls: 2.3833 loss_bbox: 1.2290 +2024/10/30 16:27:50 - mmengine - INFO - Epoch(train) [105][1200/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:41:29 time: 0.4185 data_time: 0.0375 memory: 4652 grad_norm: 4.0204 loss: 3.5480 loss_cls: 2.3702 loss_bbox: 1.1778 +2024/10/30 16:28:12 - mmengine - INFO - Epoch(train) [105][1250/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:41:08 time: 0.4311 data_time: 0.0428 memory: 4652 grad_norm: 3.9788 loss: 3.5372 loss_cls: 2.3719 loss_bbox: 1.1652 +2024/10/30 16:28:33 - mmengine - INFO - Epoch(train) [105][1300/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:40:46 time: 0.4212 data_time: 0.0379 memory: 4652 grad_norm: 4.1420 loss: 3.5177 loss_cls: 2.3460 loss_bbox: 1.1717 +2024/10/30 16:28:54 - mmengine - INFO - Epoch(train) [105][1350/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:40:24 time: 0.4207 data_time: 0.0387 memory: 4652 grad_norm: 4.2420 loss: 3.4807 loss_cls: 2.3423 loss_bbox: 1.1384 +2024/10/30 16:29:09 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 16:29:15 - mmengine - INFO - Epoch(train) [105][1400/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:40:03 time: 0.4293 data_time: 0.0392 memory: 4652 grad_norm: 3.8339 loss: 3.5725 loss_cls: 2.3826 loss_bbox: 1.1899 +2024/10/30 16:29:37 - mmengine - INFO - Epoch(train) [105][1450/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:39:41 time: 0.4347 data_time: 0.0461 memory: 4652 grad_norm: 4.0433 loss: 3.5299 loss_cls: 2.3341 loss_bbox: 1.1958 +2024/10/30 16:29:58 - mmengine - INFO - Epoch(train) [105][1500/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:39:20 time: 0.4236 data_time: 0.0387 memory: 4652 grad_norm: 4.2547 loss: 3.5340 loss_cls: 2.3317 loss_bbox: 1.2023 +2024/10/30 16:30:20 - mmengine - INFO - Epoch(train) [105][1550/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:38:59 time: 0.4363 data_time: 0.0474 memory: 4652 grad_norm: 4.1384 loss: 3.6277 loss_cls: 2.4055 loss_bbox: 1.2223 +2024/10/30 16:30:41 - mmengine - INFO - Epoch(train) [105][1600/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:38:37 time: 0.4303 data_time: 0.0387 memory: 4652 grad_norm: 4.4758 loss: 3.5843 loss_cls: 2.3572 loss_bbox: 1.2271 +2024/10/30 16:31:03 - mmengine - INFO - Epoch(train) [105][1650/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:38:15 time: 0.4268 data_time: 0.0451 memory: 4652 grad_norm: 4.6546 loss: 3.5621 loss_cls: 2.3733 loss_bbox: 1.1889 +2024/10/30 16:31:26 - mmengine - INFO - Epoch(train) [105][1700/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:37:54 time: 0.4577 data_time: 0.0767 memory: 4652 grad_norm: 4.2320 loss: 3.4296 loss_cls: 2.3043 loss_bbox: 1.1253 +2024/10/30 16:31:47 - mmengine - INFO - Epoch(train) [105][1750/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:37:33 time: 0.4294 data_time: 0.0437 memory: 4652 grad_norm: 4.1034 loss: 3.5525 loss_cls: 2.3563 loss_bbox: 1.1962 +2024/10/30 16:32:09 - mmengine - INFO - Epoch(train) [105][1800/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:37:11 time: 0.4321 data_time: 0.0429 memory: 4652 grad_norm: 4.2046 loss: 3.5025 loss_cls: 2.3194 loss_bbox: 1.1831 +2024/10/30 16:32:30 - mmengine - INFO - Epoch(train) [105][1850/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:36:50 time: 0.4273 data_time: 0.0401 memory: 4652 grad_norm: 4.1752 loss: 3.4950 loss_cls: 2.3352 loss_bbox: 1.1597 +2024/10/30 16:32:51 - mmengine - INFO - Epoch(train) [105][1900/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:36:28 time: 0.4243 data_time: 0.0378 memory: 4652 grad_norm: 4.3381 loss: 3.4983 loss_cls: 2.3456 loss_bbox: 1.1527 +2024/10/30 16:33:13 - mmengine - INFO - Epoch(train) [105][1950/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:36:07 time: 0.4225 data_time: 0.0370 memory: 4652 grad_norm: 4.0021 loss: 3.6290 loss_cls: 2.4122 loss_bbox: 1.2168 +2024/10/30 16:33:34 - mmengine - INFO - Epoch(train) [105][2000/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:35:45 time: 0.4236 data_time: 0.0366 memory: 4652 grad_norm: 4.0865 loss: 3.6184 loss_cls: 2.4087 loss_bbox: 1.2097 +2024/10/30 16:33:55 - mmengine - INFO - Epoch(train) [105][2050/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:35:24 time: 0.4305 data_time: 0.0431 memory: 4652 grad_norm: 4.3379 loss: 3.4671 loss_cls: 2.3230 loss_bbox: 1.1441 +2024/10/30 16:34:16 - mmengine - INFO - Epoch(train) [105][2100/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:35:02 time: 0.4199 data_time: 0.0399 memory: 4652 grad_norm: 4.3412 loss: 3.5699 loss_cls: 2.3776 loss_bbox: 1.1923 +2024/10/30 16:34:38 - mmengine - INFO - Epoch(train) [105][2150/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:34:41 time: 0.4405 data_time: 0.0434 memory: 4652 grad_norm: 4.1158 loss: 3.5412 loss_cls: 2.3612 loss_bbox: 1.1800 +2024/10/30 16:35:00 - mmengine - INFO - Epoch(train) [105][2200/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:34:19 time: 0.4213 data_time: 0.0440 memory: 4652 grad_norm: 4.2357 loss: 3.4686 loss_cls: 2.3078 loss_bbox: 1.1608 +2024/10/30 16:35:20 - mmengine - INFO - Epoch(train) [105][2250/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:33:57 time: 0.4076 data_time: 0.0384 memory: 4652 grad_norm: 4.2994 loss: 3.5845 loss_cls: 2.3878 loss_bbox: 1.1967 +2024/10/30 16:35:41 - mmengine - INFO - Epoch(train) [105][2300/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:33:36 time: 0.4267 data_time: 0.0457 memory: 4652 grad_norm: 4.4935 loss: 3.4301 loss_cls: 2.3082 loss_bbox: 1.1219 +2024/10/30 16:36:02 - mmengine - INFO - Epoch(train) [105][2350/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:33:14 time: 0.4184 data_time: 0.0376 memory: 4652 grad_norm: 4.5615 loss: 3.5325 loss_cls: 2.3747 loss_bbox: 1.1578 +2024/10/30 16:36:20 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 16:36:27 - mmengine - INFO - Epoch(train) [105][2400/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:32:53 time: 0.4925 data_time: 0.1160 memory: 4652 grad_norm: 4.1955 loss: 3.5148 loss_cls: 2.3347 loss_bbox: 1.1801 +2024/10/30 16:36:48 - mmengine - INFO - Epoch(train) [105][2450/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:32:32 time: 0.4297 data_time: 0.0471 memory: 4652 grad_norm: 4.3401 loss: 3.5888 loss_cls: 2.3812 loss_bbox: 1.2075 +2024/10/30 16:37:10 - mmengine - INFO - Epoch(train) [105][2500/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:32:10 time: 0.4314 data_time: 0.0518 memory: 4652 grad_norm: 4.3518 loss: 3.5195 loss_cls: 2.3686 loss_bbox: 1.1510 +2024/10/30 16:37:31 - mmengine - INFO - Epoch(train) [105][2550/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:31:49 time: 0.4170 data_time: 0.0423 memory: 4652 grad_norm: 4.4504 loss: 3.5282 loss_cls: 2.3462 loss_bbox: 1.1820 +2024/10/30 16:37:52 - mmengine - INFO - Epoch(train) [105][2600/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:31:27 time: 0.4156 data_time: 0.0424 memory: 4652 grad_norm: 4.3016 loss: 3.4695 loss_cls: 2.3306 loss_bbox: 1.1388 +2024/10/30 16:38:13 - mmengine - INFO - Epoch(train) [105][2650/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:31:06 time: 0.4341 data_time: 0.0466 memory: 4652 grad_norm: 4.1800 loss: 3.6209 loss_cls: 2.4010 loss_bbox: 1.2199 +2024/10/30 16:38:34 - mmengine - INFO - Epoch(train) [105][2700/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:30:44 time: 0.4138 data_time: 0.0412 memory: 4652 grad_norm: 4.1247 loss: 3.4101 loss_cls: 2.2914 loss_bbox: 1.1186 +2024/10/30 16:38:56 - mmengine - INFO - Epoch(train) [105][2750/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:30:23 time: 0.4283 data_time: 0.0524 memory: 4652 grad_norm: 4.3330 loss: 3.5039 loss_cls: 2.3449 loss_bbox: 1.1590 +2024/10/30 16:39:16 - mmengine - INFO - Epoch(train) [105][2800/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:30:01 time: 0.4175 data_time: 0.0397 memory: 4652 grad_norm: 4.2635 loss: 3.4683 loss_cls: 2.3132 loss_bbox: 1.1551 +2024/10/30 16:39:37 - mmengine - INFO - Epoch(train) [105][2850/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:29:39 time: 0.4138 data_time: 0.0396 memory: 4652 grad_norm: 4.2846 loss: 3.4958 loss_cls: 2.3323 loss_bbox: 1.1635 +2024/10/30 16:39:58 - mmengine - INFO - Epoch(train) [105][2900/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:29:18 time: 0.4177 data_time: 0.0442 memory: 4652 grad_norm: 4.1538 loss: 3.4695 loss_cls: 2.3114 loss_bbox: 1.1582 +2024/10/30 16:40:20 - mmengine - INFO - Epoch(train) [105][2950/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:28:56 time: 0.4364 data_time: 0.0403 memory: 4652 grad_norm: 4.5377 loss: 3.4768 loss_cls: 2.3556 loss_bbox: 1.1212 +2024/10/30 16:40:41 - mmengine - INFO - Epoch(train) [105][3000/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:28:35 time: 0.4111 data_time: 0.0479 memory: 4652 grad_norm: 4.3862 loss: 3.6261 loss_cls: 2.4199 loss_bbox: 1.2061 +2024/10/30 16:41:01 - mmengine - INFO - Epoch(train) [105][3050/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 5:28:13 time: 0.4123 data_time: 0.0407 memory: 4652 grad_norm: 4.4429 loss: 3.4743 loss_cls: 2.3437 loss_bbox: 1.1306 +2024/10/30 16:41:03 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 16:41:03 - mmengine - INFO - Saving checkpoint at 105 epochs +2024/10/30 16:41:12 - mmengine - INFO - Epoch(val) [105][50/79] eta: 0:00:02 time: 0.0737 data_time: 0.0088 memory: 4652 +2024/10/30 16:41:32 - mmengine - INFO - Evaluating bbox... +2024/10/30 16:43:00 - mmengine - INFO - bbox_mAP_copypaste: 0.276 0.453 0.285 0.080 0.327 0.444 +2024/10/30 16:43:02 - mmengine - INFO - Epoch(val) [105][79/79] coco/bbox_mAP: 0.2760 coco/bbox_mAP_50: 0.4530 coco/bbox_mAP_75: 0.2850 coco/bbox_mAP_s: 0.0800 coco/bbox_mAP_m: 0.3270 coco/bbox_mAP_l: 0.4440 data_time: 0.0083 time: 0.0725 +2024/10/30 16:43:29 - mmengine - INFO - Epoch(train) [106][ 50/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:27:50 time: 0.4360 data_time: 0.0561 memory: 4652 grad_norm: 4.8866 loss: 3.4550 loss_cls: 2.3118 loss_bbox: 1.1432 +2024/10/30 16:43:51 - mmengine - INFO - Epoch(train) [106][ 100/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:27:28 time: 0.4269 data_time: 0.0432 memory: 4652 grad_norm: 3.9530 loss: 3.5484 loss_cls: 2.3521 loss_bbox: 1.1962 +2024/10/30 16:44:12 - mmengine - INFO - Epoch(train) [106][ 150/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:27:07 time: 0.4277 data_time: 0.0390 memory: 4652 grad_norm: 4.2708 loss: 3.5535 loss_cls: 2.3537 loss_bbox: 1.1998 +2024/10/30 16:44:32 - mmengine - INFO - Epoch(train) [106][ 200/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:26:45 time: 0.4102 data_time: 0.0400 memory: 4652 grad_norm: 3.9474 loss: 3.4912 loss_cls: 2.3157 loss_bbox: 1.1755 +2024/10/30 16:44:53 - mmengine - INFO - Epoch(train) [106][ 250/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:26:24 time: 0.4170 data_time: 0.0396 memory: 4652 grad_norm: 4.0519 loss: 3.4279 loss_cls: 2.2927 loss_bbox: 1.1352 +2024/10/30 16:45:14 - mmengine - INFO - Epoch(train) [106][ 300/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:26:02 time: 0.4116 data_time: 0.0415 memory: 4652 grad_norm: 4.1460 loss: 3.5138 loss_cls: 2.3163 loss_bbox: 1.1975 +2024/10/30 16:45:27 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 16:45:35 - mmengine - INFO - Epoch(train) [106][ 350/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:25:40 time: 0.4202 data_time: 0.0447 memory: 4652 grad_norm: 4.1451 loss: 3.4694 loss_cls: 2.3320 loss_bbox: 1.1373 +2024/10/30 16:45:56 - mmengine - INFO - Epoch(train) [106][ 400/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:25:19 time: 0.4174 data_time: 0.0416 memory: 4652 grad_norm: 4.1838 loss: 3.5445 loss_cls: 2.3641 loss_bbox: 1.1804 +2024/10/30 16:46:16 - mmengine - INFO - Epoch(train) [106][ 450/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:24:57 time: 0.4090 data_time: 0.0406 memory: 4652 grad_norm: 4.2828 loss: 3.4866 loss_cls: 2.3469 loss_bbox: 1.1397 +2024/10/30 16:46:38 - mmengine - INFO - Epoch(train) [106][ 500/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:24:36 time: 0.4240 data_time: 0.0459 memory: 4652 grad_norm: 4.3025 loss: 3.4877 loss_cls: 2.3291 loss_bbox: 1.1586 +2024/10/30 16:46:58 - mmengine - INFO - Epoch(train) [106][ 550/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:24:14 time: 0.4152 data_time: 0.0419 memory: 4652 grad_norm: 4.0207 loss: 3.4869 loss_cls: 2.3369 loss_bbox: 1.1500 +2024/10/30 16:47:18 - mmengine - INFO - Epoch(train) [106][ 600/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:23:52 time: 0.3999 data_time: 0.0415 memory: 4652 grad_norm: 4.6664 loss: 3.5809 loss_cls: 2.3720 loss_bbox: 1.2089 +2024/10/30 16:47:40 - mmengine - INFO - Epoch(train) [106][ 650/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:23:31 time: 0.4219 data_time: 0.0525 memory: 4652 grad_norm: 4.1654 loss: 3.4946 loss_cls: 2.3206 loss_bbox: 1.1741 +2024/10/30 16:48:00 - mmengine - INFO - Epoch(train) [106][ 700/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:23:09 time: 0.4078 data_time: 0.0402 memory: 4652 grad_norm: 3.9743 loss: 3.5657 loss_cls: 2.3851 loss_bbox: 1.1806 +2024/10/30 16:48:21 - mmengine - INFO - Epoch(train) [106][ 750/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:22:48 time: 0.4128 data_time: 0.0412 memory: 4652 grad_norm: 4.3665 loss: 3.4519 loss_cls: 2.3098 loss_bbox: 1.1421 +2024/10/30 16:48:42 - mmengine - INFO - Epoch(train) [106][ 800/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:22:26 time: 0.4155 data_time: 0.0424 memory: 4652 grad_norm: 4.4211 loss: 3.5794 loss_cls: 2.3645 loss_bbox: 1.2149 +2024/10/30 16:49:02 - mmengine - INFO - Epoch(train) [106][ 850/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:22:04 time: 0.3996 data_time: 0.0388 memory: 4652 grad_norm: 4.2670 loss: 3.5093 loss_cls: 2.3312 loss_bbox: 1.1782 +2024/10/30 16:49:26 - mmengine - INFO - Epoch(train) [106][ 900/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:21:43 time: 0.4950 data_time: 0.1281 memory: 4652 grad_norm: 4.3250 loss: 3.5180 loss_cls: 2.3411 loss_bbox: 1.1769 +2024/10/30 16:49:47 - mmengine - INFO - Epoch(train) [106][ 950/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:21:22 time: 0.4125 data_time: 0.0537 memory: 4652 grad_norm: 4.2626 loss: 3.5218 loss_cls: 2.3448 loss_bbox: 1.1770 +2024/10/30 16:50:08 - mmengine - INFO - Epoch(train) [106][1000/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:21:00 time: 0.4159 data_time: 0.0406 memory: 4652 grad_norm: 4.5529 loss: 3.5776 loss_cls: 2.3740 loss_bbox: 1.2036 +2024/10/30 16:50:28 - mmengine - INFO - Epoch(train) [106][1050/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:20:38 time: 0.4097 data_time: 0.0405 memory: 4652 grad_norm: 3.9545 loss: 3.5780 loss_cls: 2.3671 loss_bbox: 1.2109 +2024/10/30 16:50:49 - mmengine - INFO - Epoch(train) [106][1100/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:20:17 time: 0.4043 data_time: 0.0409 memory: 4652 grad_norm: 4.6472 loss: 3.5024 loss_cls: 2.3545 loss_bbox: 1.1479 +2024/10/30 16:51:10 - mmengine - INFO - Epoch(train) [106][1150/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:19:55 time: 0.4254 data_time: 0.0405 memory: 4652 grad_norm: 4.3618 loss: 3.4395 loss_cls: 2.3117 loss_bbox: 1.1278 +2024/10/30 16:51:30 - mmengine - INFO - Epoch(train) [106][1200/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:19:34 time: 0.4064 data_time: 0.0441 memory: 4652 grad_norm: 4.3734 loss: 3.4757 loss_cls: 2.3191 loss_bbox: 1.1566 +2024/10/30 16:51:51 - mmengine - INFO - Epoch(train) [106][1250/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:19:12 time: 0.4167 data_time: 0.0461 memory: 4652 grad_norm: 4.0458 loss: 3.4893 loss_cls: 2.3251 loss_bbox: 1.1641 +2024/10/30 16:52:12 - mmengine - INFO - Epoch(train) [106][1300/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:18:50 time: 0.4125 data_time: 0.0416 memory: 4652 grad_norm: 4.3186 loss: 3.5554 loss_cls: 2.3632 loss_bbox: 1.1923 +2024/10/30 16:52:23 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 16:52:32 - mmengine - INFO - Epoch(train) [106][1350/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:18:29 time: 0.4153 data_time: 0.0417 memory: 4652 grad_norm: 3.9176 loss: 3.4102 loss_cls: 2.2953 loss_bbox: 1.1148 +2024/10/30 16:52:53 - mmengine - INFO - Epoch(train) [106][1400/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:18:07 time: 0.4020 data_time: 0.0421 memory: 4652 grad_norm: 4.5396 loss: 3.5040 loss_cls: 2.3516 loss_bbox: 1.1524 +2024/10/30 16:53:12 - mmengine - INFO - Epoch(train) [106][1450/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:17:45 time: 0.3953 data_time: 0.0416 memory: 4652 grad_norm: 4.2792 loss: 3.4447 loss_cls: 2.2966 loss_bbox: 1.1481 +2024/10/30 16:53:34 - mmengine - INFO - Epoch(train) [106][1500/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:17:24 time: 0.4241 data_time: 0.0457 memory: 4652 grad_norm: 4.4354 loss: 3.5911 loss_cls: 2.3736 loss_bbox: 1.2175 +2024/10/30 16:53:54 - mmengine - INFO - Epoch(train) [106][1550/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:17:02 time: 0.4083 data_time: 0.0456 memory: 4652 grad_norm: 4.3355 loss: 3.4873 loss_cls: 2.3120 loss_bbox: 1.1752 +2024/10/30 16:54:15 - mmengine - INFO - Epoch(train) [106][1600/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:16:41 time: 0.4122 data_time: 0.0480 memory: 4652 grad_norm: 4.2064 loss: 3.5832 loss_cls: 2.3445 loss_bbox: 1.2387 +2024/10/30 16:54:35 - mmengine - INFO - Epoch(train) [106][1650/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:16:19 time: 0.4128 data_time: 0.0441 memory: 4652 grad_norm: 4.4788 loss: 3.5538 loss_cls: 2.3671 loss_bbox: 1.1867 +2024/10/30 16:54:55 - mmengine - INFO - Epoch(train) [106][1700/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:15:57 time: 0.3880 data_time: 0.0412 memory: 4652 grad_norm: 4.3086 loss: 3.4882 loss_cls: 2.3239 loss_bbox: 1.1644 +2024/10/30 16:55:16 - mmengine - INFO - Epoch(train) [106][1750/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:15:36 time: 0.4200 data_time: 0.0423 memory: 4652 grad_norm: 3.8394 loss: 3.5073 loss_cls: 2.3412 loss_bbox: 1.1661 +2024/10/30 16:55:36 - mmengine - INFO - Epoch(train) [106][1800/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:15:14 time: 0.4116 data_time: 0.0418 memory: 4652 grad_norm: 4.6215 loss: 3.5237 loss_cls: 2.3523 loss_bbox: 1.1714 +2024/10/30 16:55:58 - mmengine - INFO - Epoch(train) [106][1850/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:14:52 time: 0.4239 data_time: 0.0541 memory: 4652 grad_norm: 4.2384 loss: 3.5384 loss_cls: 2.3753 loss_bbox: 1.1631 +2024/10/30 16:56:19 - mmengine - INFO - Epoch(train) [106][1900/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:14:31 time: 0.4248 data_time: 0.0421 memory: 4652 grad_norm: 4.5266 loss: 3.5023 loss_cls: 2.3528 loss_bbox: 1.1495 +2024/10/30 16:56:39 - mmengine - INFO - Epoch(train) [106][1950/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:14:09 time: 0.4003 data_time: 0.0512 memory: 4652 grad_norm: 4.3768 loss: 3.4881 loss_cls: 2.3137 loss_bbox: 1.1744 +2024/10/30 16:57:00 - mmengine - INFO - Epoch(train) [106][2000/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:13:48 time: 0.4086 data_time: 0.0406 memory: 4652 grad_norm: 4.8593 loss: 3.4704 loss_cls: 2.3294 loss_bbox: 1.1410 +2024/10/30 16:57:20 - mmengine - INFO - Epoch(train) [106][2050/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:13:26 time: 0.4147 data_time: 0.0488 memory: 4652 grad_norm: 4.5314 loss: 3.5708 loss_cls: 2.3614 loss_bbox: 1.2094 +2024/10/30 16:57:41 - mmengine - INFO - Epoch(train) [106][2100/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:13:04 time: 0.4100 data_time: 0.0420 memory: 4652 grad_norm: 4.6930 loss: 3.4507 loss_cls: 2.3243 loss_bbox: 1.1263 +2024/10/30 16:58:02 - mmengine - INFO - Epoch(train) [106][2150/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:12:43 time: 0.4189 data_time: 0.0468 memory: 4652 grad_norm: 4.2642 loss: 3.5387 loss_cls: 2.3511 loss_bbox: 1.1876 +2024/10/30 16:58:25 - mmengine - INFO - Epoch(train) [106][2200/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:12:22 time: 0.4725 data_time: 0.1106 memory: 4652 grad_norm: 4.3655 loss: 3.5707 loss_cls: 2.3462 loss_bbox: 1.2245 +2024/10/30 16:58:47 - mmengine - INFO - Epoch(train) [106][2250/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:12:00 time: 0.4211 data_time: 0.0457 memory: 4652 grad_norm: 4.4904 loss: 3.5122 loss_cls: 2.3485 loss_bbox: 1.1637 +2024/10/30 16:59:06 - mmengine - INFO - Epoch(train) [106][2300/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:11:38 time: 0.3953 data_time: 0.0402 memory: 4652 grad_norm: 4.7988 loss: 3.4440 loss_cls: 2.2943 loss_bbox: 1.1497 +2024/10/30 16:59:19 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 16:59:27 - mmengine - INFO - Epoch(train) [106][2350/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:11:17 time: 0.4079 data_time: 0.0397 memory: 4652 grad_norm: 4.3510 loss: 3.5151 loss_cls: 2.3375 loss_bbox: 1.1777 +2024/10/30 16:59:47 - mmengine - INFO - Epoch(train) [106][2400/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:10:55 time: 0.4072 data_time: 0.0401 memory: 4652 grad_norm: 4.2944 loss: 3.5891 loss_cls: 2.3922 loss_bbox: 1.1969 +2024/10/30 17:00:08 - mmengine - INFO - Epoch(train) [106][2450/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:10:34 time: 0.4184 data_time: 0.0490 memory: 4652 grad_norm: 4.4388 loss: 3.4475 loss_cls: 2.3122 loss_bbox: 1.1352 +2024/10/30 17:00:29 - mmengine - INFO - Epoch(train) [106][2500/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:10:12 time: 0.4117 data_time: 0.0466 memory: 4652 grad_norm: 4.1187 loss: 3.4263 loss_cls: 2.2922 loss_bbox: 1.1341 +2024/10/30 17:00:49 - mmengine - INFO - Epoch(train) [106][2550/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:09:50 time: 0.3950 data_time: 0.0406 memory: 4652 grad_norm: 4.1367 loss: 3.4737 loss_cls: 2.3287 loss_bbox: 1.1450 +2024/10/30 17:01:09 - mmengine - INFO - Epoch(train) [106][2600/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:09:29 time: 0.4126 data_time: 0.0495 memory: 4652 grad_norm: 4.2525 loss: 3.5447 loss_cls: 2.3584 loss_bbox: 1.1863 +2024/10/30 17:01:30 - mmengine - INFO - Epoch(train) [106][2650/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:09:07 time: 0.4050 data_time: 0.0389 memory: 4652 grad_norm: 4.1262 loss: 3.5592 loss_cls: 2.3546 loss_bbox: 1.2046 +2024/10/30 17:01:50 - mmengine - INFO - Epoch(train) [106][2700/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:08:45 time: 0.4121 data_time: 0.0482 memory: 4652 grad_norm: 4.3862 loss: 3.5376 loss_cls: 2.3399 loss_bbox: 1.1977 +2024/10/30 17:02:11 - mmengine - INFO - Epoch(train) [106][2750/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:08:24 time: 0.4127 data_time: 0.0447 memory: 4652 grad_norm: 4.0819 loss: 3.4317 loss_cls: 2.2810 loss_bbox: 1.1507 +2024/10/30 17:02:31 - mmengine - INFO - Epoch(train) [106][2800/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:08:02 time: 0.4050 data_time: 0.0443 memory: 4652 grad_norm: 4.3861 loss: 3.5290 loss_cls: 2.3403 loss_bbox: 1.1888 +2024/10/30 17:02:51 - mmengine - INFO - Epoch(train) [106][2850/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:07:40 time: 0.4066 data_time: 0.0406 memory: 4652 grad_norm: 4.4244 loss: 3.5261 loss_cls: 2.3564 loss_bbox: 1.1697 +2024/10/30 17:03:11 - mmengine - INFO - Epoch(train) [106][2900/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:07:19 time: 0.3987 data_time: 0.0419 memory: 4652 grad_norm: 4.1384 loss: 3.4547 loss_cls: 2.2950 loss_bbox: 1.1597 +2024/10/30 17:03:32 - mmengine - INFO - Epoch(train) [106][2950/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:06:57 time: 0.4068 data_time: 0.0459 memory: 4652 grad_norm: 4.8425 loss: 3.4623 loss_cls: 2.3230 loss_bbox: 1.1393 +2024/10/30 17:03:52 - mmengine - INFO - Epoch(train) [106][3000/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:06:35 time: 0.3990 data_time: 0.0422 memory: 4652 grad_norm: 4.4936 loss: 3.5645 loss_cls: 2.3786 loss_bbox: 1.1858 +2024/10/30 17:04:12 - mmengine - INFO - Epoch(train) [106][3050/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 5:06:14 time: 0.4062 data_time: 0.0418 memory: 4652 grad_norm: 4.6136 loss: 3.4725 loss_cls: 2.3100 loss_bbox: 1.1625 +2024/10/30 17:04:14 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 17:04:14 - mmengine - INFO - Saving checkpoint at 106 epochs +2024/10/30 17:04:41 - mmengine - INFO - Epoch(train) [107][ 50/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 5:05:51 time: 0.4372 data_time: 0.0582 memory: 4652 grad_norm: 4.0399 loss: 3.5091 loss_cls: 2.3281 loss_bbox: 1.1809 +2024/10/30 17:05:02 - mmengine - INFO - Epoch(train) [107][ 100/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 5:05:29 time: 0.4142 data_time: 0.0405 memory: 4652 grad_norm: 4.3398 loss: 3.4646 loss_cls: 2.2935 loss_bbox: 1.1711 +2024/10/30 17:05:25 - mmengine - INFO - Epoch(train) [107][ 150/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 5:05:08 time: 0.4705 data_time: 0.0985 memory: 4652 grad_norm: 4.2967 loss: 3.5059 loss_cls: 2.3409 loss_bbox: 1.1650 +2024/10/30 17:05:46 - mmengine - INFO - Epoch(train) [107][ 200/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 5:04:46 time: 0.4165 data_time: 0.0447 memory: 4652 grad_norm: 4.3480 loss: 3.4233 loss_cls: 2.2966 loss_bbox: 1.1267 +2024/10/30 17:06:08 - mmengine - INFO - Epoch(train) [107][ 250/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 5:04:25 time: 0.4261 data_time: 0.0417 memory: 4652 grad_norm: 4.2936 loss: 3.4306 loss_cls: 2.2954 loss_bbox: 1.1352 +2024/10/30 17:06:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 17:06:29 - mmengine - INFO - Epoch(train) [107][ 300/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 5:04:03 time: 0.4186 data_time: 0.0422 memory: 4652 grad_norm: 4.2281 loss: 3.4617 loss_cls: 2.3065 loss_bbox: 1.1552 +2024/10/30 17:06:50 - mmengine - INFO - Epoch(train) [107][ 350/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 5:03:42 time: 0.4329 data_time: 0.0586 memory: 4652 grad_norm: 4.3208 loss: 3.4196 loss_cls: 2.2970 loss_bbox: 1.1226 +2024/10/30 17:07:11 - mmengine - INFO - Epoch(train) [107][ 400/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 5:03:20 time: 0.4213 data_time: 0.0497 memory: 4652 grad_norm: 4.5631 loss: 3.4381 loss_cls: 2.2868 loss_bbox: 1.1512 +2024/10/30 17:07:32 - mmengine - INFO - Epoch(train) [107][ 450/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 5:02:59 time: 0.4231 data_time: 0.0419 memory: 4652 grad_norm: 4.1508 loss: 3.5801 loss_cls: 2.3442 loss_bbox: 1.2358 +2024/10/30 17:07:53 - mmengine - INFO - Epoch(train) [107][ 500/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 5:02:37 time: 0.4128 data_time: 0.0389 memory: 4652 grad_norm: 4.3676 loss: 3.4566 loss_cls: 2.3197 loss_bbox: 1.1369 +2024/10/30 17:08:14 - mmengine - INFO - Epoch(train) [107][ 550/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 5:02:15 time: 0.4208 data_time: 0.0418 memory: 4652 grad_norm: 4.0170 loss: 3.4132 loss_cls: 2.2749 loss_bbox: 1.1383 +2024/10/30 17:08:34 - mmengine - INFO - Epoch(train) [107][ 600/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 5:01:54 time: 0.4035 data_time: 0.0408 memory: 4652 grad_norm: 4.2374 loss: 3.4427 loss_cls: 2.3118 loss_bbox: 1.1309 +2024/10/30 17:08:56 - mmengine - INFO - Epoch(train) [107][ 650/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 5:01:32 time: 0.4241 data_time: 0.0451 memory: 4652 grad_norm: 4.4996 loss: 3.5889 loss_cls: 2.3667 loss_bbox: 1.2222 +2024/10/30 17:09:16 - mmengine - INFO - Epoch(train) [107][ 700/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 5:01:11 time: 0.4127 data_time: 0.0421 memory: 4652 grad_norm: 4.7718 loss: 3.4300 loss_cls: 2.3124 loss_bbox: 1.1176 +2024/10/30 17:09:37 - mmengine - INFO - Epoch(train) [107][ 750/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 5:00:49 time: 0.4038 data_time: 0.0413 memory: 4652 grad_norm: 4.2335 loss: 3.5901 loss_cls: 2.3685 loss_bbox: 1.2216 +2024/10/30 17:09:57 - mmengine - INFO - Epoch(train) [107][ 800/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 5:00:27 time: 0.4171 data_time: 0.0394 memory: 4652 grad_norm: 4.5022 loss: 3.4521 loss_cls: 2.3201 loss_bbox: 1.1320 +2024/10/30 17:10:18 - mmengine - INFO - Epoch(train) [107][ 850/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 5:00:06 time: 0.4029 data_time: 0.0392 memory: 4652 grad_norm: 4.0601 loss: 3.4743 loss_cls: 2.3081 loss_bbox: 1.1661 +2024/10/30 17:10:39 - mmengine - INFO - Epoch(train) [107][ 900/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:59:44 time: 0.4183 data_time: 0.0468 memory: 4652 grad_norm: 4.4177 loss: 3.5707 loss_cls: 2.3539 loss_bbox: 1.2169 +2024/10/30 17:10:59 - mmengine - INFO - Epoch(train) [107][ 950/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:59:23 time: 0.4102 data_time: 0.0440 memory: 4652 grad_norm: 4.0954 loss: 3.3877 loss_cls: 2.2572 loss_bbox: 1.1304 +2024/10/30 17:11:20 - mmengine - INFO - Epoch(train) [107][1000/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:59:01 time: 0.4130 data_time: 0.0485 memory: 4652 grad_norm: 4.3639 loss: 3.5463 loss_cls: 2.3522 loss_bbox: 1.1941 +2024/10/30 17:11:40 - mmengine - INFO - Epoch(train) [107][1050/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:58:39 time: 0.4122 data_time: 0.0411 memory: 4652 grad_norm: 4.2110 loss: 3.4236 loss_cls: 2.2961 loss_bbox: 1.1275 +2024/10/30 17:12:01 - mmengine - INFO - Epoch(train) [107][1100/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:58:18 time: 0.4104 data_time: 0.0404 memory: 4652 grad_norm: 4.3592 loss: 3.4001 loss_cls: 2.2634 loss_bbox: 1.1368 +2024/10/30 17:12:22 - mmengine - INFO - Epoch(train) [107][1150/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:57:56 time: 0.4184 data_time: 0.0477 memory: 4652 grad_norm: 4.7201 loss: 3.5044 loss_cls: 2.3278 loss_bbox: 1.1766 +2024/10/30 17:12:42 - mmengine - INFO - Epoch(train) [107][1200/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:57:35 time: 0.4088 data_time: 0.0395 memory: 4652 grad_norm: 4.3799 loss: 3.4198 loss_cls: 2.2993 loss_bbox: 1.1205 +2024/10/30 17:13:04 - mmengine - INFO - Epoch(train) [107][1250/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:57:13 time: 0.4235 data_time: 0.0469 memory: 4652 grad_norm: 4.0926 loss: 3.4991 loss_cls: 2.3102 loss_bbox: 1.1889 +2024/10/30 17:13:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 17:13:26 - mmengine - INFO - Epoch(train) [107][1300/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:56:52 time: 0.4546 data_time: 0.0802 memory: 4652 grad_norm: 4.3258 loss: 3.4535 loss_cls: 2.2941 loss_bbox: 1.1593 +2024/10/30 17:13:47 - mmengine - INFO - Epoch(train) [107][1350/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:56:30 time: 0.4126 data_time: 0.0407 memory: 4652 grad_norm: 4.2871 loss: 3.3928 loss_cls: 2.2863 loss_bbox: 1.1065 +2024/10/30 17:14:08 - mmengine - INFO - Epoch(train) [107][1400/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:56:09 time: 0.4245 data_time: 0.0406 memory: 4652 grad_norm: 4.5131 loss: 3.4191 loss_cls: 2.2914 loss_bbox: 1.1277 +2024/10/30 17:14:28 - mmengine - INFO - Epoch(train) [107][1450/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:55:47 time: 0.4019 data_time: 0.0408 memory: 4652 grad_norm: 4.4128 loss: 3.3449 loss_cls: 2.2415 loss_bbox: 1.1034 +2024/10/30 17:14:49 - mmengine - INFO - Epoch(train) [107][1500/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:55:25 time: 0.4094 data_time: 0.0421 memory: 4652 grad_norm: 4.1957 loss: 3.4994 loss_cls: 2.3171 loss_bbox: 1.1823 +2024/10/30 17:15:10 - mmengine - INFO - Epoch(train) [107][1550/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:55:04 time: 0.4257 data_time: 0.0458 memory: 4652 grad_norm: 4.5898 loss: 3.4933 loss_cls: 2.3330 loss_bbox: 1.1603 +2024/10/30 17:15:31 - mmengine - INFO - Epoch(train) [107][1600/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:54:42 time: 0.4197 data_time: 0.0535 memory: 4652 grad_norm: 4.2373 loss: 3.5070 loss_cls: 2.3353 loss_bbox: 1.1718 +2024/10/30 17:15:52 - mmengine - INFO - Epoch(train) [107][1650/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:54:21 time: 0.4227 data_time: 0.0407 memory: 4652 grad_norm: 4.5995 loss: 3.4236 loss_cls: 2.3021 loss_bbox: 1.1215 +2024/10/30 17:16:13 - mmengine - INFO - Epoch(train) [107][1700/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:53:59 time: 0.4092 data_time: 0.0425 memory: 4652 grad_norm: 4.3503 loss: 3.5021 loss_cls: 2.3228 loss_bbox: 1.1793 +2024/10/30 17:16:34 - mmengine - INFO - Epoch(train) [107][1750/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:53:38 time: 0.4223 data_time: 0.0405 memory: 4652 grad_norm: 4.4101 loss: 3.4190 loss_cls: 2.2896 loss_bbox: 1.1294 +2024/10/30 17:16:55 - mmengine - INFO - Epoch(train) [107][1800/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:53:16 time: 0.4146 data_time: 0.0414 memory: 4652 grad_norm: 4.5617 loss: 3.4145 loss_cls: 2.2892 loss_bbox: 1.1253 +2024/10/30 17:17:16 - mmengine - INFO - Epoch(train) [107][1850/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:52:55 time: 0.4169 data_time: 0.0487 memory: 4652 grad_norm: 4.4321 loss: 3.4708 loss_cls: 2.3372 loss_bbox: 1.1335 +2024/10/30 17:17:37 - mmengine - INFO - Epoch(train) [107][1900/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:52:33 time: 0.4244 data_time: 0.0393 memory: 4652 grad_norm: 4.2001 loss: 3.4373 loss_cls: 2.2894 loss_bbox: 1.1479 +2024/10/30 17:17:57 - mmengine - INFO - Epoch(train) [107][1950/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:52:11 time: 0.4117 data_time: 0.0379 memory: 4652 grad_norm: 4.3875 loss: 3.3957 loss_cls: 2.2479 loss_bbox: 1.1478 +2024/10/30 17:18:18 - mmengine - INFO - Epoch(train) [107][2000/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:51:50 time: 0.4193 data_time: 0.0391 memory: 4652 grad_norm: 4.4269 loss: 3.4857 loss_cls: 2.3151 loss_bbox: 1.1706 +2024/10/30 17:18:39 - mmengine - INFO - Epoch(train) [107][2050/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:51:28 time: 0.4102 data_time: 0.0400 memory: 4652 grad_norm: 4.2728 loss: 3.4965 loss_cls: 2.3296 loss_bbox: 1.1669 +2024/10/30 17:18:59 - mmengine - INFO - Epoch(train) [107][2100/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:51:07 time: 0.4080 data_time: 0.0474 memory: 4652 grad_norm: 4.4268 loss: 3.4041 loss_cls: 2.2847 loss_bbox: 1.1194 +2024/10/30 17:19:21 - mmengine - INFO - Epoch(train) [107][2150/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:50:45 time: 0.4264 data_time: 0.0467 memory: 4652 grad_norm: 4.7057 loss: 3.5842 loss_cls: 2.3630 loss_bbox: 1.2212 +2024/10/30 17:19:41 - mmengine - INFO - Epoch(train) [107][2200/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:50:24 time: 0.4024 data_time: 0.0406 memory: 4652 grad_norm: 4.1893 loss: 3.5085 loss_cls: 2.3427 loss_bbox: 1.1658 +2024/10/30 17:20:02 - mmengine - INFO - Epoch(train) [107][2250/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:50:02 time: 0.4210 data_time: 0.0413 memory: 4652 grad_norm: 4.3513 loss: 3.5300 loss_cls: 2.3330 loss_bbox: 1.1969 +2024/10/30 17:20:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 17:20:27 - mmengine - INFO - Epoch(train) [107][2300/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:49:41 time: 0.5058 data_time: 0.1288 memory: 4652 grad_norm: 4.4224 loss: 3.4328 loss_cls: 2.2932 loss_bbox: 1.1396 +2024/10/30 17:20:48 - mmengine - INFO - Epoch(train) [107][2350/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:49:19 time: 0.4106 data_time: 0.0412 memory: 4652 grad_norm: 4.6262 loss: 3.5247 loss_cls: 2.3586 loss_bbox: 1.1661 +2024/10/30 17:21:09 - mmengine - INFO - Epoch(train) [107][2400/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:48:58 time: 0.4232 data_time: 0.0402 memory: 4652 grad_norm: 4.8175 loss: 3.5080 loss_cls: 2.3307 loss_bbox: 1.1773 +2024/10/30 17:21:30 - mmengine - INFO - Epoch(train) [107][2450/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:48:36 time: 0.4112 data_time: 0.0446 memory: 4652 grad_norm: 4.8491 loss: 3.4460 loss_cls: 2.2945 loss_bbox: 1.1515 +2024/10/30 17:21:51 - mmengine - INFO - Epoch(train) [107][2500/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:48:15 time: 0.4184 data_time: 0.0460 memory: 4652 grad_norm: 4.3148 loss: 3.3698 loss_cls: 2.2740 loss_bbox: 1.0958 +2024/10/30 17:22:12 - mmengine - INFO - Epoch(train) [107][2550/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:47:53 time: 0.4255 data_time: 0.0462 memory: 4652 grad_norm: 4.0970 loss: 3.4786 loss_cls: 2.3543 loss_bbox: 1.1243 +2024/10/30 17:22:33 - mmengine - INFO - Epoch(train) [107][2600/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:47:32 time: 0.4206 data_time: 0.0394 memory: 4652 grad_norm: 4.1638 loss: 3.4321 loss_cls: 2.3014 loss_bbox: 1.1307 +2024/10/30 17:22:55 - mmengine - INFO - Epoch(train) [107][2650/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:47:10 time: 0.4322 data_time: 0.0469 memory: 4652 grad_norm: 4.5621 loss: 3.4472 loss_cls: 2.3054 loss_bbox: 1.1419 +2024/10/30 17:23:15 - mmengine - INFO - Epoch(train) [107][2700/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:46:49 time: 0.4033 data_time: 0.0403 memory: 4652 grad_norm: 4.5854 loss: 3.4942 loss_cls: 2.3292 loss_bbox: 1.1650 +2024/10/30 17:23:36 - mmengine - INFO - Epoch(train) [107][2750/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:46:27 time: 0.4213 data_time: 0.0456 memory: 4652 grad_norm: 4.6198 loss: 3.4224 loss_cls: 2.2897 loss_bbox: 1.1326 +2024/10/30 17:23:57 - mmengine - INFO - Epoch(train) [107][2800/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:46:05 time: 0.4145 data_time: 0.0412 memory: 4652 grad_norm: 4.7135 loss: 3.4543 loss_cls: 2.3178 loss_bbox: 1.1364 +2024/10/30 17:24:18 - mmengine - INFO - Epoch(train) [107][2850/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:45:44 time: 0.4269 data_time: 0.0394 memory: 4652 grad_norm: 4.5309 loss: 3.4249 loss_cls: 2.2548 loss_bbox: 1.1700 +2024/10/30 17:24:39 - mmengine - INFO - Epoch(train) [107][2900/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:45:22 time: 0.4215 data_time: 0.0380 memory: 4652 grad_norm: 4.8372 loss: 3.4869 loss_cls: 2.3312 loss_bbox: 1.1558 +2024/10/30 17:24:59 - mmengine - INFO - Epoch(train) [107][2950/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:45:01 time: 0.4061 data_time: 0.0456 memory: 4652 grad_norm: 4.4701 loss: 3.5144 loss_cls: 2.3429 loss_bbox: 1.1715 +2024/10/30 17:25:20 - mmengine - INFO - Epoch(train) [107][3000/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:44:39 time: 0.4200 data_time: 0.0408 memory: 4652 grad_norm: 4.4760 loss: 3.4783 loss_cls: 2.3026 loss_bbox: 1.1758 +2024/10/30 17:25:41 - mmengine - INFO - Epoch(train) [107][3050/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 4:44:18 time: 0.4089 data_time: 0.0412 memory: 4652 grad_norm: 4.1239 loss: 3.3455 loss_cls: 2.2416 loss_bbox: 1.1039 +2024/10/30 17:25:42 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 17:25:42 - mmengine - INFO - Saving checkpoint at 107 epochs +2024/10/30 17:26:10 - mmengine - INFO - Epoch(train) [108][ 50/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:43:54 time: 0.4437 data_time: 0.0591 memory: 4652 grad_norm: 4.3475 loss: 3.5200 loss_cls: 2.3159 loss_bbox: 1.2041 +2024/10/30 17:26:31 - mmengine - INFO - Epoch(train) [108][ 100/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:43:33 time: 0.4263 data_time: 0.0412 memory: 4652 grad_norm: 4.2286 loss: 3.3975 loss_cls: 2.2748 loss_bbox: 1.1227 +2024/10/30 17:26:52 - mmengine - INFO - Epoch(train) [108][ 150/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:43:11 time: 0.4265 data_time: 0.0467 memory: 4652 grad_norm: 4.5547 loss: 3.4067 loss_cls: 2.2764 loss_bbox: 1.1303 +2024/10/30 17:27:13 - mmengine - INFO - Epoch(train) [108][ 200/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:42:50 time: 0.4174 data_time: 0.0388 memory: 4652 grad_norm: 4.1289 loss: 3.3363 loss_cls: 2.2304 loss_bbox: 1.1059 +2024/10/30 17:27:23 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 17:27:33 - mmengine - INFO - Epoch(train) [108][ 250/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:42:28 time: 0.4057 data_time: 0.0423 memory: 4652 grad_norm: 4.4677 loss: 3.3887 loss_cls: 2.2728 loss_bbox: 1.1159 +2024/10/30 17:27:54 - mmengine - INFO - Epoch(train) [108][ 300/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:42:07 time: 0.4057 data_time: 0.0488 memory: 4652 grad_norm: 4.2830 loss: 3.3993 loss_cls: 2.2702 loss_bbox: 1.1292 +2024/10/30 17:28:15 - mmengine - INFO - Epoch(train) [108][ 350/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:41:45 time: 0.4165 data_time: 0.0465 memory: 4652 grad_norm: 4.5136 loss: 3.4268 loss_cls: 2.3033 loss_bbox: 1.1235 +2024/10/30 17:28:35 - mmengine - INFO - Epoch(train) [108][ 400/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:41:24 time: 0.4110 data_time: 0.0468 memory: 4652 grad_norm: 4.3630 loss: 3.3846 loss_cls: 2.2719 loss_bbox: 1.1127 +2024/10/30 17:28:56 - mmengine - INFO - Epoch(train) [108][ 450/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:41:02 time: 0.4060 data_time: 0.0393 memory: 4652 grad_norm: 4.2540 loss: 3.4179 loss_cls: 2.2690 loss_bbox: 1.1489 +2024/10/30 17:29:16 - mmengine - INFO - Epoch(train) [108][ 500/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:40:40 time: 0.4034 data_time: 0.0395 memory: 4652 grad_norm: 4.5540 loss: 3.4030 loss_cls: 2.2847 loss_bbox: 1.1183 +2024/10/30 17:29:37 - mmengine - INFO - Epoch(train) [108][ 550/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:40:19 time: 0.4162 data_time: 0.0495 memory: 4652 grad_norm: 4.3874 loss: 3.4183 loss_cls: 2.2913 loss_bbox: 1.1270 +2024/10/30 17:29:57 - mmengine - INFO - Epoch(train) [108][ 600/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:39:57 time: 0.4134 data_time: 0.0424 memory: 4652 grad_norm: 4.4200 loss: 3.4595 loss_cls: 2.3277 loss_bbox: 1.1318 +2024/10/30 17:30:19 - mmengine - INFO - Epoch(train) [108][ 650/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:39:36 time: 0.4280 data_time: 0.0444 memory: 4652 grad_norm: 4.2563 loss: 3.3587 loss_cls: 2.2828 loss_bbox: 1.0758 +2024/10/30 17:30:40 - mmengine - INFO - Epoch(train) [108][ 700/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:39:14 time: 0.4197 data_time: 0.0406 memory: 4652 grad_norm: 4.4379 loss: 3.4323 loss_cls: 2.3071 loss_bbox: 1.1252 +2024/10/30 17:31:01 - mmengine - INFO - Epoch(train) [108][ 750/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:38:53 time: 0.4187 data_time: 0.0489 memory: 4652 grad_norm: 4.3245 loss: 3.4883 loss_cls: 2.3276 loss_bbox: 1.1607 +2024/10/30 17:31:22 - mmengine - INFO - Epoch(train) [108][ 800/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:38:31 time: 0.4198 data_time: 0.0415 memory: 4652 grad_norm: 4.7025 loss: 3.4372 loss_cls: 2.3137 loss_bbox: 1.1235 +2024/10/30 17:31:43 - mmengine - INFO - Epoch(train) [108][ 850/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:38:09 time: 0.4214 data_time: 0.0400 memory: 4652 grad_norm: 4.2155 loss: 3.4741 loss_cls: 2.3137 loss_bbox: 1.1604 +2024/10/30 17:32:04 - mmengine - INFO - Epoch(train) [108][ 900/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:37:48 time: 0.4150 data_time: 0.0403 memory: 4652 grad_norm: 4.1312 loss: 3.4217 loss_cls: 2.2740 loss_bbox: 1.1477 +2024/10/30 17:32:26 - mmengine - INFO - Epoch(train) [108][ 950/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:37:27 time: 0.4459 data_time: 0.0827 memory: 4652 grad_norm: 4.3909 loss: 3.4231 loss_cls: 2.2525 loss_bbox: 1.1707 +2024/10/30 17:32:47 - mmengine - INFO - Epoch(train) [108][1000/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:37:05 time: 0.4145 data_time: 0.0488 memory: 4652 grad_norm: 4.1865 loss: 3.4257 loss_cls: 2.2567 loss_bbox: 1.1690 +2024/10/30 17:33:07 - mmengine - INFO - Epoch(train) [108][1050/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:36:43 time: 0.4098 data_time: 0.0417 memory: 4652 grad_norm: 4.5754 loss: 3.3902 loss_cls: 2.2715 loss_bbox: 1.1187 +2024/10/30 17:33:28 - mmengine - INFO - Epoch(train) [108][1100/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:36:22 time: 0.4136 data_time: 0.0416 memory: 4652 grad_norm: 4.7069 loss: 3.4364 loss_cls: 2.3079 loss_bbox: 1.1284 +2024/10/30 17:33:49 - mmengine - INFO - Epoch(train) [108][1150/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:36:00 time: 0.4170 data_time: 0.0413 memory: 4652 grad_norm: 4.6271 loss: 3.3992 loss_cls: 2.2684 loss_bbox: 1.1308 +2024/10/30 17:34:10 - mmengine - INFO - Epoch(train) [108][1200/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:35:39 time: 0.4291 data_time: 0.0427 memory: 4652 grad_norm: 4.7278 loss: 3.3940 loss_cls: 2.2616 loss_bbox: 1.1324 +2024/10/30 17:34:19 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 17:34:31 - mmengine - INFO - Epoch(train) [108][1250/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:35:17 time: 0.4237 data_time: 0.0468 memory: 4652 grad_norm: 4.5688 loss: 3.4567 loss_cls: 2.2913 loss_bbox: 1.1654 +2024/10/30 17:34:52 - mmengine - INFO - Epoch(train) [108][1300/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:34:56 time: 0.4122 data_time: 0.0402 memory: 4652 grad_norm: 4.3271 loss: 3.4299 loss_cls: 2.2826 loss_bbox: 1.1473 +2024/10/30 17:35:12 - mmengine - INFO - Epoch(train) [108][1350/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:34:34 time: 0.4068 data_time: 0.0411 memory: 4652 grad_norm: 4.1692 loss: 3.4508 loss_cls: 2.3034 loss_bbox: 1.1475 +2024/10/30 17:35:34 - mmengine - INFO - Epoch(train) [108][1400/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:34:13 time: 0.4266 data_time: 0.0533 memory: 4652 grad_norm: 4.4485 loss: 3.5029 loss_cls: 2.3382 loss_bbox: 1.1647 +2024/10/30 17:35:54 - mmengine - INFO - Epoch(train) [108][1450/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:33:51 time: 0.4110 data_time: 0.0404 memory: 4652 grad_norm: 4.4533 loss: 3.3300 loss_cls: 2.2362 loss_bbox: 1.0938 +2024/10/30 17:36:16 - mmengine - INFO - Epoch(train) [108][1500/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:33:29 time: 0.4217 data_time: 0.0489 memory: 4652 grad_norm: 4.4177 loss: 3.4962 loss_cls: 2.3470 loss_bbox: 1.1492 +2024/10/30 17:36:36 - mmengine - INFO - Epoch(train) [108][1550/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:33:08 time: 0.4078 data_time: 0.0441 memory: 4652 grad_norm: 4.5779 loss: 3.4683 loss_cls: 2.3147 loss_bbox: 1.1536 +2024/10/30 17:36:56 - mmengine - INFO - Epoch(train) [108][1600/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:32:46 time: 0.4039 data_time: 0.0392 memory: 4652 grad_norm: 4.4730 loss: 3.4193 loss_cls: 2.2784 loss_bbox: 1.1409 +2024/10/30 17:37:18 - mmengine - INFO - Epoch(train) [108][1650/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:32:25 time: 0.4322 data_time: 0.0400 memory: 4652 grad_norm: 4.9388 loss: 3.3733 loss_cls: 2.2734 loss_bbox: 1.1000 +2024/10/30 17:37:38 - mmengine - INFO - Epoch(train) [108][1700/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:32:03 time: 0.4110 data_time: 0.0464 memory: 4652 grad_norm: 4.3945 loss: 3.3822 loss_cls: 2.2485 loss_bbox: 1.1337 +2024/10/30 17:37:59 - mmengine - INFO - Epoch(train) [108][1750/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:31:42 time: 0.4202 data_time: 0.0486 memory: 4652 grad_norm: 4.6518 loss: 3.4030 loss_cls: 2.2848 loss_bbox: 1.1182 +2024/10/30 17:38:20 - mmengine - INFO - Epoch(train) [108][1800/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:31:20 time: 0.4131 data_time: 0.0410 memory: 4652 grad_norm: 4.5045 loss: 3.3945 loss_cls: 2.2510 loss_bbox: 1.1436 +2024/10/30 17:38:41 - mmengine - INFO - Epoch(train) [108][1850/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:30:58 time: 0.4113 data_time: 0.0457 memory: 4652 grad_norm: 4.5313 loss: 3.3587 loss_cls: 2.2558 loss_bbox: 1.1029 +2024/10/30 17:39:03 - mmengine - INFO - Epoch(train) [108][1900/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:30:37 time: 0.4357 data_time: 0.0415 memory: 4652 grad_norm: 4.6933 loss: 3.4156 loss_cls: 2.2705 loss_bbox: 1.1451 +2024/10/30 17:39:25 - mmengine - INFO - Epoch(train) [108][1950/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:30:16 time: 0.4470 data_time: 0.0831 memory: 4652 grad_norm: 4.3643 loss: 3.4937 loss_cls: 2.3310 loss_bbox: 1.1627 +2024/10/30 17:39:46 - mmengine - INFO - Epoch(train) [108][2000/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:29:54 time: 0.4246 data_time: 0.0485 memory: 4652 grad_norm: 4.5821 loss: 3.2945 loss_cls: 2.2073 loss_bbox: 1.0872 +2024/10/30 17:40:07 - mmengine - INFO - Epoch(train) [108][2050/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:29:33 time: 0.4088 data_time: 0.0412 memory: 4652 grad_norm: 4.4565 loss: 3.5049 loss_cls: 2.3432 loss_bbox: 1.1617 +2024/10/30 17:40:28 - mmengine - INFO - Epoch(train) [108][2100/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:29:11 time: 0.4149 data_time: 0.0420 memory: 4652 grad_norm: 4.3922 loss: 3.5162 loss_cls: 2.3034 loss_bbox: 1.2128 +2024/10/30 17:40:49 - mmengine - INFO - Epoch(train) [108][2150/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:28:50 time: 0.4302 data_time: 0.0541 memory: 4652 grad_norm: 4.6195 loss: 3.4325 loss_cls: 2.2761 loss_bbox: 1.1564 +2024/10/30 17:41:10 - mmengine - INFO - Epoch(train) [108][2200/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:28:28 time: 0.4092 data_time: 0.0449 memory: 4652 grad_norm: 4.5334 loss: 3.4313 loss_cls: 2.2764 loss_bbox: 1.1550 +2024/10/30 17:41:19 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 17:41:31 - mmengine - INFO - Epoch(train) [108][2250/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:28:06 time: 0.4269 data_time: 0.0491 memory: 4652 grad_norm: 4.8549 loss: 3.4036 loss_cls: 2.2822 loss_bbox: 1.1214 +2024/10/30 17:41:52 - mmengine - INFO - Epoch(train) [108][2300/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:27:45 time: 0.4167 data_time: 0.0463 memory: 4652 grad_norm: 4.5638 loss: 3.4869 loss_cls: 2.3118 loss_bbox: 1.1750 +2024/10/30 17:42:13 - mmengine - INFO - Epoch(train) [108][2350/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:27:23 time: 0.4187 data_time: 0.0416 memory: 4652 grad_norm: 4.0194 loss: 3.4408 loss_cls: 2.2867 loss_bbox: 1.1541 +2024/10/30 17:42:34 - mmengine - INFO - Epoch(train) [108][2400/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:27:02 time: 0.4209 data_time: 0.0409 memory: 4652 grad_norm: 4.7755 loss: 3.4663 loss_cls: 2.2959 loss_bbox: 1.1704 +2024/10/30 17:42:54 - mmengine - INFO - Epoch(train) [108][2450/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:26:40 time: 0.4048 data_time: 0.0455 memory: 4652 grad_norm: 4.4403 loss: 3.3963 loss_cls: 2.2577 loss_bbox: 1.1385 +2024/10/30 17:43:15 - mmengine - INFO - Epoch(train) [108][2500/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:26:19 time: 0.4185 data_time: 0.0490 memory: 4652 grad_norm: 4.2475 loss: 3.3888 loss_cls: 2.2639 loss_bbox: 1.1249 +2024/10/30 17:43:36 - mmengine - INFO - Epoch(train) [108][2550/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:25:57 time: 0.4158 data_time: 0.0415 memory: 4652 grad_norm: 4.2009 loss: 3.4757 loss_cls: 2.2820 loss_bbox: 1.1938 +2024/10/30 17:43:56 - mmengine - INFO - Epoch(train) [108][2600/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:25:35 time: 0.4086 data_time: 0.0398 memory: 4652 grad_norm: 4.7256 loss: 3.3008 loss_cls: 2.2357 loss_bbox: 1.0651 +2024/10/30 17:44:18 - mmengine - INFO - Epoch(train) [108][2650/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:25:14 time: 0.4294 data_time: 0.0477 memory: 4652 grad_norm: 4.5068 loss: 3.4326 loss_cls: 2.3061 loss_bbox: 1.1265 +2024/10/30 17:44:39 - mmengine - INFO - Epoch(train) [108][2700/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:24:53 time: 0.4252 data_time: 0.0470 memory: 4652 grad_norm: 4.4897 loss: 3.4861 loss_cls: 2.3071 loss_bbox: 1.1790 +2024/10/30 17:45:00 - mmengine - INFO - Epoch(train) [108][2750/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:24:31 time: 0.4139 data_time: 0.0550 memory: 4652 grad_norm: 4.2822 loss: 3.4938 loss_cls: 2.3263 loss_bbox: 1.1675 +2024/10/30 17:45:21 - mmengine - INFO - Epoch(train) [108][2800/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:24:09 time: 0.4219 data_time: 0.0425 memory: 4652 grad_norm: 4.5797 loss: 3.4126 loss_cls: 2.2782 loss_bbox: 1.1344 +2024/10/30 17:45:42 - mmengine - INFO - Epoch(train) [108][2850/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:23:48 time: 0.4191 data_time: 0.0409 memory: 4652 grad_norm: 4.6601 loss: 3.3591 loss_cls: 2.2549 loss_bbox: 1.1043 +2024/10/30 17:46:03 - mmengine - INFO - Epoch(train) [108][2900/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:23:26 time: 0.4236 data_time: 0.0469 memory: 4652 grad_norm: 4.4254 loss: 3.4812 loss_cls: 2.3105 loss_bbox: 1.1707 +2024/10/30 17:46:26 - mmengine - INFO - Epoch(train) [108][2950/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:23:05 time: 0.4504 data_time: 0.0762 memory: 4652 grad_norm: 4.5272 loss: 3.3789 loss_cls: 2.2620 loss_bbox: 1.1169 +2024/10/30 17:46:46 - mmengine - INFO - Epoch(train) [108][3000/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:22:43 time: 0.4098 data_time: 0.0423 memory: 4652 grad_norm: 4.4525 loss: 3.4126 loss_cls: 2.2844 loss_bbox: 1.1282 +2024/10/30 17:47:08 - mmengine - INFO - Epoch(train) [108][3050/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 4:22:22 time: 0.4265 data_time: 0.0421 memory: 4652 grad_norm: 4.6459 loss: 3.4395 loss_cls: 2.2906 loss_bbox: 1.1490 +2024/10/30 17:47:09 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 17:47:09 - mmengine - INFO - Saving checkpoint at 108 epochs +2024/10/30 17:47:37 - mmengine - INFO - Epoch(train) [109][ 50/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:21:59 time: 0.4316 data_time: 0.0533 memory: 4652 grad_norm: 4.1908 loss: 3.3483 loss_cls: 2.2342 loss_bbox: 1.1141 +2024/10/30 17:47:58 - mmengine - INFO - Epoch(train) [109][ 100/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:21:37 time: 0.4311 data_time: 0.0362 memory: 4652 grad_norm: 4.5122 loss: 3.3613 loss_cls: 2.2685 loss_bbox: 1.0927 +2024/10/30 17:48:20 - mmengine - INFO - Epoch(train) [109][ 150/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:21:16 time: 0.4329 data_time: 0.0371 memory: 4652 grad_norm: 4.5695 loss: 3.3696 loss_cls: 2.2348 loss_bbox: 1.1347 +2024/10/30 17:48:27 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 17:48:41 - mmengine - INFO - Epoch(train) [109][ 200/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:20:54 time: 0.4264 data_time: 0.0363 memory: 4652 grad_norm: 4.4003 loss: 3.5443 loss_cls: 2.3485 loss_bbox: 1.1959 +2024/10/30 17:49:04 - mmengine - INFO - Epoch(train) [109][ 250/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:20:33 time: 0.4453 data_time: 0.0423 memory: 4652 grad_norm: 4.4918 loss: 3.3545 loss_cls: 2.2299 loss_bbox: 1.1246 +2024/10/30 17:49:27 - mmengine - INFO - Epoch(train) [109][ 300/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:20:12 time: 0.4719 data_time: 0.0860 memory: 4652 grad_norm: 4.4234 loss: 3.4153 loss_cls: 2.2813 loss_bbox: 1.1341 +2024/10/30 17:49:50 - mmengine - INFO - Epoch(train) [109][ 350/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:19:50 time: 0.4479 data_time: 0.0410 memory: 4652 grad_norm: 4.3520 loss: 3.3792 loss_cls: 2.2742 loss_bbox: 1.1049 +2024/10/30 17:50:11 - mmengine - INFO - Epoch(train) [109][ 400/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:19:29 time: 0.4302 data_time: 0.0419 memory: 4652 grad_norm: 4.6475 loss: 3.4429 loss_cls: 2.3041 loss_bbox: 1.1388 +2024/10/30 17:50:33 - mmengine - INFO - Epoch(train) [109][ 450/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:19:07 time: 0.4266 data_time: 0.0383 memory: 4652 grad_norm: 4.7240 loss: 3.3954 loss_cls: 2.2749 loss_bbox: 1.1206 +2024/10/30 17:50:54 - mmengine - INFO - Epoch(train) [109][ 500/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:18:46 time: 0.4289 data_time: 0.0361 memory: 4652 grad_norm: 4.2348 loss: 3.3412 loss_cls: 2.2426 loss_bbox: 1.0986 +2024/10/30 17:51:15 - mmengine - INFO - Epoch(train) [109][ 550/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:18:24 time: 0.4216 data_time: 0.0359 memory: 4652 grad_norm: 4.2842 loss: 3.4158 loss_cls: 2.2753 loss_bbox: 1.1405 +2024/10/30 17:51:37 - mmengine - INFO - Epoch(train) [109][ 600/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:18:03 time: 0.4369 data_time: 0.0365 memory: 4652 grad_norm: 4.5524 loss: 3.3116 loss_cls: 2.2384 loss_bbox: 1.0732 +2024/10/30 17:51:59 - mmengine - INFO - Epoch(train) [109][ 650/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:17:41 time: 0.4323 data_time: 0.0404 memory: 4652 grad_norm: 4.1048 loss: 3.3667 loss_cls: 2.2479 loss_bbox: 1.1188 +2024/10/30 17:52:20 - mmengine - INFO - Epoch(train) [109][ 700/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:17:20 time: 0.4323 data_time: 0.0370 memory: 4652 grad_norm: 4.4532 loss: 3.4005 loss_cls: 2.2914 loss_bbox: 1.1090 +2024/10/30 17:52:43 - mmengine - INFO - Epoch(train) [109][ 750/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:16:59 time: 0.4497 data_time: 0.0380 memory: 4652 grad_norm: 4.8450 loss: 3.3822 loss_cls: 2.2783 loss_bbox: 1.1039 +2024/10/30 17:53:04 - mmengine - INFO - Epoch(train) [109][ 800/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:16:37 time: 0.4177 data_time: 0.0376 memory: 4652 grad_norm: 4.4046 loss: 3.3832 loss_cls: 2.2830 loss_bbox: 1.1002 +2024/10/30 17:53:28 - mmengine - INFO - Epoch(train) [109][ 850/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:16:16 time: 0.4813 data_time: 0.0783 memory: 4652 grad_norm: 5.0637 loss: 3.3218 loss_cls: 2.2528 loss_bbox: 1.0690 +2024/10/30 17:53:49 - mmengine - INFO - Epoch(train) [109][ 900/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:15:54 time: 0.4250 data_time: 0.0368 memory: 4652 grad_norm: 4.4304 loss: 3.4041 loss_cls: 2.2723 loss_bbox: 1.1318 +2024/10/30 17:54:12 - mmengine - INFO - Epoch(train) [109][ 950/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:15:33 time: 0.4528 data_time: 0.0404 memory: 4652 grad_norm: 4.6251 loss: 3.4092 loss_cls: 2.2753 loss_bbox: 1.1339 +2024/10/30 17:54:33 - mmengine - INFO - Epoch(train) [109][1000/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:15:12 time: 0.4261 data_time: 0.0378 memory: 4652 grad_norm: 4.4039 loss: 3.3847 loss_cls: 2.2621 loss_bbox: 1.1226 +2024/10/30 17:54:54 - mmengine - INFO - Epoch(train) [109][1050/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:14:50 time: 0.4206 data_time: 0.0382 memory: 4652 grad_norm: 4.6158 loss: 3.3574 loss_cls: 2.2545 loss_bbox: 1.1029 +2024/10/30 17:55:16 - mmengine - INFO - Epoch(train) [109][1100/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:14:29 time: 0.4426 data_time: 0.0384 memory: 4652 grad_norm: 4.2710 loss: 3.4595 loss_cls: 2.2931 loss_bbox: 1.1664 +2024/10/30 17:55:37 - mmengine - INFO - Epoch(train) [109][1150/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:14:07 time: 0.4175 data_time: 0.0372 memory: 4652 grad_norm: 4.6800 loss: 3.4204 loss_cls: 2.2617 loss_bbox: 1.1588 +2024/10/30 17:55:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 17:55:59 - mmengine - INFO - Epoch(train) [109][1200/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:13:46 time: 0.4421 data_time: 0.0370 memory: 4652 grad_norm: 4.3865 loss: 3.4309 loss_cls: 2.2778 loss_bbox: 1.1530 +2024/10/30 17:56:20 - mmengine - INFO - Epoch(train) [109][1250/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:13:24 time: 0.4234 data_time: 0.0413 memory: 4652 grad_norm: 4.4396 loss: 3.3594 loss_cls: 2.2584 loss_bbox: 1.1011 +2024/10/30 17:56:42 - mmengine - INFO - Epoch(train) [109][1300/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:13:03 time: 0.4304 data_time: 0.0381 memory: 4652 grad_norm: 4.4079 loss: 3.3901 loss_cls: 2.2635 loss_bbox: 1.1266 +2024/10/30 17:57:03 - mmengine - INFO - Epoch(train) [109][1350/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:12:41 time: 0.4283 data_time: 0.0384 memory: 4652 grad_norm: 4.5709 loss: 3.3855 loss_cls: 2.2658 loss_bbox: 1.1197 +2024/10/30 17:57:26 - mmengine - INFO - Epoch(train) [109][1400/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:12:20 time: 0.4545 data_time: 0.0659 memory: 4652 grad_norm: 4.4016 loss: 3.4174 loss_cls: 2.2800 loss_bbox: 1.1374 +2024/10/30 17:57:49 - mmengine - INFO - Epoch(train) [109][1450/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:11:59 time: 0.4558 data_time: 0.0484 memory: 4652 grad_norm: 4.5168 loss: 3.4038 loss_cls: 2.2634 loss_bbox: 1.1404 +2024/10/30 17:58:10 - mmengine - INFO - Epoch(train) [109][1500/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:11:37 time: 0.4217 data_time: 0.0379 memory: 4652 grad_norm: 4.3802 loss: 3.4653 loss_cls: 2.2840 loss_bbox: 1.1813 +2024/10/30 17:58:32 - mmengine - INFO - Epoch(train) [109][1550/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:11:16 time: 0.4410 data_time: 0.0402 memory: 4652 grad_norm: 4.2260 loss: 3.4903 loss_cls: 2.3438 loss_bbox: 1.1466 +2024/10/30 17:58:54 - mmengine - INFO - Epoch(train) [109][1600/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:10:54 time: 0.4425 data_time: 0.0519 memory: 4652 grad_norm: 4.8631 loss: 3.3499 loss_cls: 2.2485 loss_bbox: 1.1015 +2024/10/30 17:59:16 - mmengine - INFO - Epoch(train) [109][1650/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:10:33 time: 0.4265 data_time: 0.0435 memory: 4652 grad_norm: 4.3419 loss: 3.4276 loss_cls: 2.2947 loss_bbox: 1.1330 +2024/10/30 17:59:38 - mmengine - INFO - Epoch(train) [109][1700/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:10:11 time: 0.4514 data_time: 0.0455 memory: 4652 grad_norm: 4.8020 loss: 3.4059 loss_cls: 2.2662 loss_bbox: 1.1397 +2024/10/30 17:59:59 - mmengine - INFO - Epoch(train) [109][1750/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:09:50 time: 0.4232 data_time: 0.0447 memory: 4652 grad_norm: 4.4843 loss: 3.4380 loss_cls: 2.2934 loss_bbox: 1.1446 +2024/10/30 18:00:21 - mmengine - INFO - Epoch(train) [109][1800/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:09:28 time: 0.4241 data_time: 0.0364 memory: 4652 grad_norm: 4.7294 loss: 3.5092 loss_cls: 2.3052 loss_bbox: 1.2040 +2024/10/30 18:00:42 - mmengine - INFO - Epoch(train) [109][1850/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:09:07 time: 0.4344 data_time: 0.0406 memory: 4652 grad_norm: 4.4221 loss: 3.3995 loss_cls: 2.2704 loss_bbox: 1.1291 +2024/10/30 18:01:03 - mmengine - INFO - Epoch(train) [109][1900/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:08:45 time: 0.4147 data_time: 0.0384 memory: 4652 grad_norm: 5.0486 loss: 3.4670 loss_cls: 2.2982 loss_bbox: 1.1688 +2024/10/30 18:01:28 - mmengine - INFO - Epoch(train) [109][1950/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:08:24 time: 0.4990 data_time: 0.1012 memory: 4652 grad_norm: 4.6188 loss: 3.3312 loss_cls: 2.2294 loss_bbox: 1.1019 +2024/10/30 18:01:49 - mmengine - INFO - Epoch(train) [109][2000/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:08:03 time: 0.4224 data_time: 0.0377 memory: 4652 grad_norm: 4.3249 loss: 3.4388 loss_cls: 2.2975 loss_bbox: 1.1413 +2024/10/30 18:02:11 - mmengine - INFO - Epoch(train) [109][2050/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:07:41 time: 0.4319 data_time: 0.0375 memory: 4652 grad_norm: 4.5575 loss: 3.4220 loss_cls: 2.3148 loss_bbox: 1.1073 +2024/10/30 18:02:33 - mmengine - INFO - Epoch(train) [109][2100/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:07:20 time: 0.4342 data_time: 0.0385 memory: 4652 grad_norm: 4.5568 loss: 3.3981 loss_cls: 2.2689 loss_bbox: 1.1292 +2024/10/30 18:02:54 - mmengine - INFO - Epoch(train) [109][2150/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:06:58 time: 0.4204 data_time: 0.0408 memory: 4652 grad_norm: 4.2447 loss: 3.5376 loss_cls: 2.3478 loss_bbox: 1.1898 +2024/10/30 18:03:02 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 18:03:16 - mmengine - INFO - Epoch(train) [109][2200/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:06:37 time: 0.4400 data_time: 0.0391 memory: 4652 grad_norm: 4.7028 loss: 3.4908 loss_cls: 2.3044 loss_bbox: 1.1864 +2024/10/30 18:03:37 - mmengine - INFO - Epoch(train) [109][2250/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:06:15 time: 0.4206 data_time: 0.0388 memory: 4652 grad_norm: 4.6604 loss: 3.3445 loss_cls: 2.2370 loss_bbox: 1.1074 +2024/10/30 18:03:59 - mmengine - INFO - Epoch(train) [109][2300/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:05:54 time: 0.4387 data_time: 0.0449 memory: 4652 grad_norm: 4.7403 loss: 3.4673 loss_cls: 2.2881 loss_bbox: 1.1792 +2024/10/30 18:04:20 - mmengine - INFO - Epoch(train) [109][2350/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:05:32 time: 0.4218 data_time: 0.0382 memory: 4652 grad_norm: 4.2857 loss: 3.3875 loss_cls: 2.2706 loss_bbox: 1.1168 +2024/10/30 18:04:41 - mmengine - INFO - Epoch(train) [109][2400/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:05:11 time: 0.4201 data_time: 0.0381 memory: 4652 grad_norm: 4.5217 loss: 3.4191 loss_cls: 2.2812 loss_bbox: 1.1379 +2024/10/30 18:05:03 - mmengine - INFO - Epoch(train) [109][2450/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:04:49 time: 0.4368 data_time: 0.0402 memory: 4652 grad_norm: 4.5644 loss: 3.3883 loss_cls: 2.2445 loss_bbox: 1.1438 +2024/10/30 18:05:27 - mmengine - INFO - Epoch(train) [109][2500/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:04:28 time: 0.4882 data_time: 0.1039 memory: 4652 grad_norm: 4.4347 loss: 3.3495 loss_cls: 2.2290 loss_bbox: 1.1205 +2024/10/30 18:05:49 - mmengine - INFO - Epoch(train) [109][2550/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:04:07 time: 0.4295 data_time: 0.0410 memory: 4652 grad_norm: 4.6501 loss: 3.3600 loss_cls: 2.2532 loss_bbox: 1.1068 +2024/10/30 18:06:11 - mmengine - INFO - Epoch(train) [109][2600/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:03:45 time: 0.4377 data_time: 0.0402 memory: 4652 grad_norm: 4.6464 loss: 3.4201 loss_cls: 2.2559 loss_bbox: 1.1643 +2024/10/30 18:06:32 - mmengine - INFO - Epoch(train) [109][2650/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:03:24 time: 0.4257 data_time: 0.0386 memory: 4652 grad_norm: 4.4772 loss: 3.5232 loss_cls: 2.3115 loss_bbox: 1.2117 +2024/10/30 18:06:53 - mmengine - INFO - Epoch(train) [109][2700/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:03:02 time: 0.4312 data_time: 0.0381 memory: 4652 grad_norm: 4.4421 loss: 3.4590 loss_cls: 2.2886 loss_bbox: 1.1705 +2024/10/30 18:07:15 - mmengine - INFO - Epoch(train) [109][2750/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:02:41 time: 0.4254 data_time: 0.0426 memory: 4652 grad_norm: 4.5206 loss: 3.3929 loss_cls: 2.2512 loss_bbox: 1.1417 +2024/10/30 18:07:37 - mmengine - INFO - Epoch(train) [109][2800/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:02:19 time: 0.4471 data_time: 0.0415 memory: 4652 grad_norm: 4.2634 loss: 3.3429 loss_cls: 2.2388 loss_bbox: 1.1041 +2024/10/30 18:07:59 - mmengine - INFO - Epoch(train) [109][2850/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:01:58 time: 0.4425 data_time: 0.0397 memory: 4652 grad_norm: 4.6891 loss: 3.3944 loss_cls: 2.2859 loss_bbox: 1.1085 +2024/10/30 18:08:21 - mmengine - INFO - Epoch(train) [109][2900/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:01:37 time: 0.4237 data_time: 0.0380 memory: 4652 grad_norm: 4.3757 loss: 3.4601 loss_cls: 2.2934 loss_bbox: 1.1667 +2024/10/30 18:08:43 - mmengine - INFO - Epoch(train) [109][2950/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:01:15 time: 0.4437 data_time: 0.0402 memory: 4652 grad_norm: 4.4228 loss: 3.3396 loss_cls: 2.2417 loss_bbox: 1.0980 +2024/10/30 18:09:04 - mmengine - INFO - Epoch(train) [109][3000/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:00:54 time: 0.4330 data_time: 0.0389 memory: 4652 grad_norm: 4.5226 loss: 3.4633 loss_cls: 2.2930 loss_bbox: 1.1702 +2024/10/30 18:09:28 - mmengine - INFO - Epoch(train) [109][3050/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 4:00:32 time: 0.4690 data_time: 0.0579 memory: 4652 grad_norm: 4.3869 loss: 3.4564 loss_cls: 2.2870 loss_bbox: 1.1694 +2024/10/30 18:09:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 18:09:29 - mmengine - INFO - Saving checkpoint at 109 epochs +2024/10/30 18:09:57 - mmengine - INFO - Epoch(train) [110][ 50/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 4:00:09 time: 0.4436 data_time: 0.0597 memory: 4652 grad_norm: 4.7554 loss: 3.3920 loss_cls: 2.2651 loss_bbox: 1.1269 +2024/10/30 18:10:18 - mmengine - INFO - Epoch(train) [110][ 100/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:59:48 time: 0.4278 data_time: 0.0449 memory: 4652 grad_norm: 4.4624 loss: 3.3775 loss_cls: 2.2403 loss_bbox: 1.1372 +2024/10/30 18:10:25 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 18:10:40 - mmengine - INFO - Epoch(train) [110][ 150/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:59:26 time: 0.4298 data_time: 0.0457 memory: 4652 grad_norm: 4.5914 loss: 3.3699 loss_cls: 2.2602 loss_bbox: 1.1097 +2024/10/30 18:11:01 - mmengine - INFO - Epoch(train) [110][ 200/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:59:05 time: 0.4301 data_time: 0.0412 memory: 4652 grad_norm: 4.4839 loss: 3.4220 loss_cls: 2.2775 loss_bbox: 1.1445 +2024/10/30 18:11:27 - mmengine - INFO - Epoch(train) [110][ 250/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:58:44 time: 0.5079 data_time: 0.1109 memory: 4652 grad_norm: 4.5722 loss: 3.4590 loss_cls: 2.2784 loss_bbox: 1.1806 +2024/10/30 18:11:48 - mmengine - INFO - Epoch(train) [110][ 300/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:58:22 time: 0.4211 data_time: 0.0403 memory: 4652 grad_norm: 4.6867 loss: 3.4006 loss_cls: 2.2562 loss_bbox: 1.1444 +2024/10/30 18:12:10 - mmengine - INFO - Epoch(train) [110][ 350/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:58:01 time: 0.4326 data_time: 0.0518 memory: 4652 grad_norm: 4.9508 loss: 3.2881 loss_cls: 2.1951 loss_bbox: 1.0930 +2024/10/30 18:12:31 - mmengine - INFO - Epoch(train) [110][ 400/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:57:39 time: 0.4199 data_time: 0.0400 memory: 4652 grad_norm: 4.5726 loss: 3.3943 loss_cls: 2.2584 loss_bbox: 1.1359 +2024/10/30 18:12:52 - mmengine - INFO - Epoch(train) [110][ 450/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:57:18 time: 0.4176 data_time: 0.0400 memory: 4652 grad_norm: 4.0681 loss: 3.3454 loss_cls: 2.2337 loss_bbox: 1.1117 +2024/10/30 18:13:13 - mmengine - INFO - Epoch(train) [110][ 500/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:56:56 time: 0.4258 data_time: 0.0487 memory: 4652 grad_norm: 4.6891 loss: 3.3993 loss_cls: 2.2568 loss_bbox: 1.1425 +2024/10/30 18:13:34 - mmengine - INFO - Epoch(train) [110][ 550/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:56:35 time: 0.4133 data_time: 0.0409 memory: 4652 grad_norm: 4.5039 loss: 3.4308 loss_cls: 2.2708 loss_bbox: 1.1600 +2024/10/30 18:13:55 - mmengine - INFO - Epoch(train) [110][ 600/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:56:13 time: 0.4205 data_time: 0.0408 memory: 4652 grad_norm: 4.4880 loss: 3.3517 loss_cls: 2.2324 loss_bbox: 1.1193 +2024/10/30 18:14:16 - mmengine - INFO - Epoch(train) [110][ 650/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:55:52 time: 0.4341 data_time: 0.0442 memory: 4652 grad_norm: 4.7719 loss: 3.3822 loss_cls: 2.2378 loss_bbox: 1.1444 +2024/10/30 18:14:37 - mmengine - INFO - Epoch(train) [110][ 700/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:55:30 time: 0.4115 data_time: 0.0406 memory: 4652 grad_norm: 4.8435 loss: 3.3619 loss_cls: 2.2503 loss_bbox: 1.1116 +2024/10/30 18:14:59 - mmengine - INFO - Epoch(train) [110][ 750/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:55:09 time: 0.4405 data_time: 0.0400 memory: 4652 grad_norm: 4.4379 loss: 3.3622 loss_cls: 2.2317 loss_bbox: 1.1305 +2024/10/30 18:15:20 - mmengine - INFO - Epoch(train) [110][ 800/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:54:47 time: 0.4085 data_time: 0.0415 memory: 4652 grad_norm: 4.6740 loss: 3.4176 loss_cls: 2.2493 loss_bbox: 1.1683 +2024/10/30 18:15:41 - mmengine - INFO - Epoch(train) [110][ 850/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:54:26 time: 0.4324 data_time: 0.0416 memory: 4652 grad_norm: 4.4457 loss: 3.3660 loss_cls: 2.2413 loss_bbox: 1.1247 +2024/10/30 18:16:02 - mmengine - INFO - Epoch(train) [110][ 900/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:54:04 time: 0.4159 data_time: 0.0417 memory: 4652 grad_norm: 4.7479 loss: 3.3151 loss_cls: 2.2161 loss_bbox: 1.0990 +2024/10/30 18:16:26 - mmengine - INFO - Epoch(train) [110][ 950/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:53:43 time: 0.4696 data_time: 0.0910 memory: 4652 grad_norm: 4.6505 loss: 3.4297 loss_cls: 2.2843 loss_bbox: 1.1454 +2024/10/30 18:16:47 - mmengine - INFO - Epoch(train) [110][1000/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:53:21 time: 0.4247 data_time: 0.0407 memory: 4652 grad_norm: 4.4519 loss: 3.3098 loss_cls: 2.2266 loss_bbox: 1.0832 +2024/10/30 18:17:07 - mmengine - INFO - Epoch(train) [110][1050/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:53:00 time: 0.4091 data_time: 0.0420 memory: 4652 grad_norm: 4.5590 loss: 3.3703 loss_cls: 2.2551 loss_bbox: 1.1151 +2024/10/30 18:17:28 - mmengine - INFO - Epoch(train) [110][1100/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:52:38 time: 0.4161 data_time: 0.0498 memory: 4652 grad_norm: 4.7979 loss: 3.3285 loss_cls: 2.1968 loss_bbox: 1.1318 +2024/10/30 18:17:34 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 18:17:49 - mmengine - INFO - Epoch(train) [110][1150/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:52:17 time: 0.4139 data_time: 0.0406 memory: 4652 grad_norm: 4.6224 loss: 3.4365 loss_cls: 2.2724 loss_bbox: 1.1641 +2024/10/30 18:18:10 - mmengine - INFO - Epoch(train) [110][1200/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:51:55 time: 0.4188 data_time: 0.0405 memory: 4652 grad_norm: 4.5772 loss: 3.3946 loss_cls: 2.2527 loss_bbox: 1.1419 +2024/10/30 18:18:31 - mmengine - INFO - Epoch(train) [110][1250/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:51:34 time: 0.4284 data_time: 0.0431 memory: 4652 grad_norm: 4.8613 loss: 3.4398 loss_cls: 2.3005 loss_bbox: 1.1394 +2024/10/30 18:18:52 - mmengine - INFO - Epoch(train) [110][1300/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:51:12 time: 0.4034 data_time: 0.0400 memory: 4652 grad_norm: 4.8019 loss: 3.3405 loss_cls: 2.2277 loss_bbox: 1.1128 +2024/10/30 18:19:13 - mmengine - INFO - Epoch(train) [110][1350/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:50:50 time: 0.4318 data_time: 0.0484 memory: 4652 grad_norm: 4.5178 loss: 3.4047 loss_cls: 2.2491 loss_bbox: 1.1556 +2024/10/30 18:19:34 - mmengine - INFO - Epoch(train) [110][1400/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:50:29 time: 0.4166 data_time: 0.0432 memory: 4652 grad_norm: 4.4934 loss: 3.4280 loss_cls: 2.2825 loss_bbox: 1.1456 +2024/10/30 18:19:55 - mmengine - INFO - Epoch(train) [110][1450/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:50:07 time: 0.4168 data_time: 0.0395 memory: 4652 grad_norm: 4.5362 loss: 3.3945 loss_cls: 2.2569 loss_bbox: 1.1376 +2024/10/30 18:20:16 - mmengine - INFO - Epoch(train) [110][1500/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:49:46 time: 0.4239 data_time: 0.0416 memory: 4652 grad_norm: 4.7889 loss: 3.3043 loss_cls: 2.2057 loss_bbox: 1.0986 +2024/10/30 18:20:37 - mmengine - INFO - Epoch(train) [110][1550/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:49:24 time: 0.4225 data_time: 0.0513 memory: 4652 grad_norm: 4.6500 loss: 3.5279 loss_cls: 2.2961 loss_bbox: 1.2318 +2024/10/30 18:20:59 - mmengine - INFO - Epoch(train) [110][1600/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:49:03 time: 0.4371 data_time: 0.0410 memory: 4652 grad_norm: 4.8814 loss: 3.3736 loss_cls: 2.2511 loss_bbox: 1.1225 +2024/10/30 18:21:20 - mmengine - INFO - Epoch(train) [110][1650/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:48:41 time: 0.4148 data_time: 0.0405 memory: 4652 grad_norm: 4.3898 loss: 3.4320 loss_cls: 2.2917 loss_bbox: 1.1403 +2024/10/30 18:21:41 - mmengine - INFO - Epoch(train) [110][1700/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:48:20 time: 0.4236 data_time: 0.0400 memory: 4652 grad_norm: 4.8476 loss: 3.3809 loss_cls: 2.2403 loss_bbox: 1.1407 +2024/10/30 18:22:03 - mmengine - INFO - Epoch(train) [110][1750/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:47:58 time: 0.4295 data_time: 0.0451 memory: 4652 grad_norm: 4.8214 loss: 3.4146 loss_cls: 2.2824 loss_bbox: 1.1321 +2024/10/30 18:22:25 - mmengine - INFO - Epoch(train) [110][1800/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:47:37 time: 0.4529 data_time: 0.0851 memory: 4652 grad_norm: 4.6512 loss: 3.3796 loss_cls: 2.2739 loss_bbox: 1.1058 +2024/10/30 18:22:47 - mmengine - INFO - Epoch(train) [110][1850/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:47:16 time: 0.4397 data_time: 0.0519 memory: 4652 grad_norm: 4.7807 loss: 3.4399 loss_cls: 2.2712 loss_bbox: 1.1687 +2024/10/30 18:23:08 - mmengine - INFO - Epoch(train) [110][1900/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:46:54 time: 0.4136 data_time: 0.0392 memory: 4652 grad_norm: 4.5122 loss: 3.3757 loss_cls: 2.2616 loss_bbox: 1.1141 +2024/10/30 18:23:30 - mmengine - INFO - Epoch(train) [110][1950/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:46:33 time: 0.4318 data_time: 0.0517 memory: 4652 grad_norm: 4.7474 loss: 3.3742 loss_cls: 2.2416 loss_bbox: 1.1326 +2024/10/30 18:23:51 - mmengine - INFO - Epoch(train) [110][2000/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:46:11 time: 0.4145 data_time: 0.0418 memory: 4652 grad_norm: 4.7049 loss: 3.3894 loss_cls: 2.2707 loss_bbox: 1.1187 +2024/10/30 18:24:11 - mmengine - INFO - Epoch(train) [110][2050/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:45:49 time: 0.4002 data_time: 0.0407 memory: 4652 grad_norm: 4.4491 loss: 3.3176 loss_cls: 2.2249 loss_bbox: 1.0927 +2024/10/30 18:24:32 - mmengine - INFO - Epoch(train) [110][2100/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:45:28 time: 0.4224 data_time: 0.0408 memory: 4652 grad_norm: 4.9163 loss: 3.3484 loss_cls: 2.2489 loss_bbox: 1.0995 +2024/10/30 18:24:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 18:24:52 - mmengine - INFO - Epoch(train) [110][2150/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:45:06 time: 0.4101 data_time: 0.0460 memory: 4652 grad_norm: 4.4271 loss: 3.4509 loss_cls: 2.2692 loss_bbox: 1.1817 +2024/10/30 18:25:13 - mmengine - INFO - Epoch(train) [110][2200/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:44:45 time: 0.4222 data_time: 0.0417 memory: 4652 grad_norm: 4.3876 loss: 3.3485 loss_cls: 2.2369 loss_bbox: 1.1116 +2024/10/30 18:25:34 - mmengine - INFO - Epoch(train) [110][2250/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:44:23 time: 0.4162 data_time: 0.0411 memory: 4652 grad_norm: 4.7120 loss: 3.3456 loss_cls: 2.2210 loss_bbox: 1.1246 +2024/10/30 18:25:54 - mmengine - INFO - Epoch(train) [110][2300/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:44:02 time: 0.4038 data_time: 0.0413 memory: 4652 grad_norm: 4.6954 loss: 3.3265 loss_cls: 2.2305 loss_bbox: 1.0960 +2024/10/30 18:26:16 - mmengine - INFO - Epoch(train) [110][2350/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:43:40 time: 0.4278 data_time: 0.0413 memory: 4652 grad_norm: 4.5462 loss: 3.3417 loss_cls: 2.2265 loss_bbox: 1.1153 +2024/10/30 18:26:36 - mmengine - INFO - Epoch(train) [110][2400/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:43:19 time: 0.4095 data_time: 0.0438 memory: 4652 grad_norm: 5.0786 loss: 3.3938 loss_cls: 2.2699 loss_bbox: 1.1239 +2024/10/30 18:26:57 - mmengine - INFO - Epoch(train) [110][2450/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:42:57 time: 0.4144 data_time: 0.0439 memory: 4652 grad_norm: 4.6064 loss: 3.4291 loss_cls: 2.2873 loss_bbox: 1.1418 +2024/10/30 18:27:19 - mmengine - INFO - Epoch(train) [110][2500/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:42:36 time: 0.4279 data_time: 0.0410 memory: 4652 grad_norm: 4.5178 loss: 3.3536 loss_cls: 2.2449 loss_bbox: 1.1088 +2024/10/30 18:27:39 - mmengine - INFO - Epoch(train) [110][2550/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:42:14 time: 0.4091 data_time: 0.0407 memory: 4652 grad_norm: 4.5793 loss: 3.3616 loss_cls: 2.2331 loss_bbox: 1.1285 +2024/10/30 18:28:01 - mmengine - INFO - Epoch(train) [110][2600/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:41:53 time: 0.4281 data_time: 0.0392 memory: 4652 grad_norm: 4.6846 loss: 3.4594 loss_cls: 2.2813 loss_bbox: 1.1781 +2024/10/30 18:28:21 - mmengine - INFO - Epoch(train) [110][2650/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:41:31 time: 0.4065 data_time: 0.0400 memory: 4652 grad_norm: 4.6330 loss: 3.4121 loss_cls: 2.2841 loss_bbox: 1.1281 +2024/10/30 18:28:42 - mmengine - INFO - Epoch(train) [110][2700/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:41:09 time: 0.4246 data_time: 0.0437 memory: 4652 grad_norm: 4.5223 loss: 3.2987 loss_cls: 2.2098 loss_bbox: 1.0889 +2024/10/30 18:29:04 - mmengine - INFO - Epoch(train) [110][2750/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:40:48 time: 0.4284 data_time: 0.0437 memory: 4652 grad_norm: 4.4756 loss: 3.4009 loss_cls: 2.2522 loss_bbox: 1.1488 +2024/10/30 18:29:26 - mmengine - INFO - Epoch(train) [110][2800/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:40:27 time: 0.4394 data_time: 0.0736 memory: 4652 grad_norm: 4.3317 loss: 3.4009 loss_cls: 2.2582 loss_bbox: 1.1427 +2024/10/30 18:29:47 - mmengine - INFO - Epoch(train) [110][2850/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:40:05 time: 0.4331 data_time: 0.0444 memory: 4652 grad_norm: 4.5816 loss: 3.3119 loss_cls: 2.2022 loss_bbox: 1.1098 +2024/10/30 18:30:08 - mmengine - INFO - Epoch(train) [110][2900/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:39:43 time: 0.4070 data_time: 0.0411 memory: 4652 grad_norm: 4.7029 loss: 3.2985 loss_cls: 2.1992 loss_bbox: 1.0993 +2024/10/30 18:30:29 - mmengine - INFO - Epoch(train) [110][2950/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:39:22 time: 0.4273 data_time: 0.0401 memory: 4652 grad_norm: 4.8655 loss: 3.3430 loss_cls: 2.2420 loss_bbox: 1.1009 +2024/10/30 18:30:50 - mmengine - INFO - Epoch(train) [110][3000/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:39:00 time: 0.4212 data_time: 0.0417 memory: 4652 grad_norm: 4.7954 loss: 3.2978 loss_cls: 2.1954 loss_bbox: 1.1024 +2024/10/30 18:31:11 - mmengine - INFO - Epoch(train) [110][3050/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 3:38:39 time: 0.4141 data_time: 0.0413 memory: 4652 grad_norm: 4.9382 loss: 3.3649 loss_cls: 2.2789 loss_bbox: 1.0861 +2024/10/30 18:31:13 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 18:31:13 - mmengine - INFO - Saving checkpoint at 110 epochs +2024/10/30 18:31:21 - mmengine - INFO - Epoch(val) [110][50/79] eta: 0:00:02 time: 0.0743 data_time: 0.0090 memory: 4652 +2024/10/30 18:31:39 - mmengine - INFO - Evaluating bbox... +2024/10/30 18:33:01 - mmengine - INFO - bbox_mAP_copypaste: 0.283 0.461 0.292 0.084 0.334 0.456 +2024/10/30 18:33:02 - mmengine - INFO - Epoch(val) [110][79/79] coco/bbox_mAP: 0.2830 coco/bbox_mAP_50: 0.4610 coco/bbox_mAP_75: 0.2920 coco/bbox_mAP_s: 0.0840 coco/bbox_mAP_m: 0.3340 coco/bbox_mAP_l: 0.4560 data_time: 0.0083 time: 0.0726 +2024/10/30 18:33:28 - mmengine - INFO - Epoch(train) [111][ 50/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:38:16 time: 0.4485 data_time: 0.0542 memory: 4652 grad_norm: 4.9528 loss: 3.3182 loss_cls: 2.2241 loss_bbox: 1.0941 +2024/10/30 18:33:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 18:33:50 - mmengine - INFO - Epoch(train) [111][ 100/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:37:54 time: 0.4273 data_time: 0.0487 memory: 4652 grad_norm: 4.1035 loss: 3.3030 loss_cls: 2.1922 loss_bbox: 1.1109 +2024/10/30 18:34:11 - mmengine - INFO - Epoch(train) [111][ 150/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:37:33 time: 0.4349 data_time: 0.0394 memory: 4652 grad_norm: 4.7505 loss: 3.3020 loss_cls: 2.2118 loss_bbox: 1.0902 +2024/10/30 18:34:32 - mmengine - INFO - Epoch(train) [111][ 200/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:37:11 time: 0.4169 data_time: 0.0390 memory: 4652 grad_norm: 4.6965 loss: 3.3560 loss_cls: 2.2797 loss_bbox: 1.0763 +2024/10/30 18:34:54 - mmengine - INFO - Epoch(train) [111][ 250/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:36:50 time: 0.4355 data_time: 0.0393 memory: 4652 grad_norm: 4.6233 loss: 3.3924 loss_cls: 2.2533 loss_bbox: 1.1391 +2024/10/30 18:35:16 - mmengine - INFO - Epoch(train) [111][ 300/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:36:28 time: 0.4397 data_time: 0.0410 memory: 4652 grad_norm: 4.6095 loss: 3.4385 loss_cls: 2.2769 loss_bbox: 1.1615 +2024/10/30 18:35:37 - mmengine - INFO - Epoch(train) [111][ 350/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:36:07 time: 0.4239 data_time: 0.0410 memory: 4652 grad_norm: 4.6631 loss: 3.3756 loss_cls: 2.2747 loss_bbox: 1.1009 +2024/10/30 18:36:00 - mmengine - INFO - Epoch(train) [111][ 400/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:35:46 time: 0.4508 data_time: 0.0430 memory: 4652 grad_norm: 4.5488 loss: 3.2892 loss_cls: 2.2199 loss_bbox: 1.0693 +2024/10/30 18:36:21 - mmengine - INFO - Epoch(train) [111][ 450/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:35:24 time: 0.4283 data_time: 0.0449 memory: 4652 grad_norm: 4.5757 loss: 3.3494 loss_cls: 2.2244 loss_bbox: 1.1250 +2024/10/30 18:36:43 - mmengine - INFO - Epoch(train) [111][ 500/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:35:03 time: 0.4357 data_time: 0.0392 memory: 4652 grad_norm: 4.7401 loss: 3.3434 loss_cls: 2.2588 loss_bbox: 1.0846 +2024/10/30 18:37:05 - mmengine - INFO - Epoch(train) [111][ 550/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:34:41 time: 0.4303 data_time: 0.0407 memory: 4652 grad_norm: 4.4546 loss: 3.2959 loss_cls: 2.2106 loss_bbox: 1.0853 +2024/10/30 18:37:26 - mmengine - INFO - Epoch(train) [111][ 600/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:34:20 time: 0.4226 data_time: 0.0398 memory: 4652 grad_norm: 4.7282 loss: 3.3664 loss_cls: 2.2384 loss_bbox: 1.1280 +2024/10/30 18:37:49 - mmengine - INFO - Epoch(train) [111][ 650/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:33:58 time: 0.4518 data_time: 0.0444 memory: 4652 grad_norm: 4.5188 loss: 3.3428 loss_cls: 2.2184 loss_bbox: 1.1244 +2024/10/30 18:38:10 - mmengine - INFO - Epoch(train) [111][ 700/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:33:37 time: 0.4173 data_time: 0.0421 memory: 4652 grad_norm: 4.3079 loss: 3.3479 loss_cls: 2.2206 loss_bbox: 1.1273 +2024/10/30 18:38:33 - mmengine - INFO - Epoch(train) [111][ 750/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:33:15 time: 0.4598 data_time: 0.0554 memory: 4652 grad_norm: 4.4548 loss: 3.3453 loss_cls: 2.2554 loss_bbox: 1.0899 +2024/10/30 18:38:54 - mmengine - INFO - Epoch(train) [111][ 800/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:32:54 time: 0.4350 data_time: 0.0391 memory: 4652 grad_norm: 4.4316 loss: 3.4520 loss_cls: 2.2972 loss_bbox: 1.1548 +2024/10/30 18:39:16 - mmengine - INFO - Epoch(train) [111][ 850/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:32:32 time: 0.4287 data_time: 0.0379 memory: 4652 grad_norm: 4.5120 loss: 3.2305 loss_cls: 2.1659 loss_bbox: 1.0646 +2024/10/30 18:39:38 - mmengine - INFO - Epoch(train) [111][ 900/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:32:11 time: 0.4463 data_time: 0.0368 memory: 4652 grad_norm: 4.3597 loss: 3.3740 loss_cls: 2.2326 loss_bbox: 1.1414 +2024/10/30 18:39:59 - mmengine - INFO - Epoch(train) [111][ 950/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:31:50 time: 0.4169 data_time: 0.0391 memory: 4652 grad_norm: 4.7756 loss: 3.3637 loss_cls: 2.2425 loss_bbox: 1.1212 +2024/10/30 18:40:22 - mmengine - INFO - Epoch(train) [111][1000/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:31:28 time: 0.4569 data_time: 0.0406 memory: 4652 grad_norm: 4.7215 loss: 3.3952 loss_cls: 2.2604 loss_bbox: 1.1348 +2024/10/30 18:40:43 - mmengine - INFO - Epoch(train) [111][1050/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:31:07 time: 0.4241 data_time: 0.0382 memory: 4652 grad_norm: 4.3550 loss: 3.3819 loss_cls: 2.2409 loss_bbox: 1.1409 +2024/10/30 18:40:47 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 18:41:04 - mmengine - INFO - Epoch(train) [111][1100/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:30:45 time: 0.4200 data_time: 0.0374 memory: 4652 grad_norm: 4.6040 loss: 3.3093 loss_cls: 2.2154 loss_bbox: 1.0938 +2024/10/30 18:41:28 - mmengine - INFO - Epoch(train) [111][1150/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:30:24 time: 0.4722 data_time: 0.0698 memory: 4652 grad_norm: 4.3464 loss: 3.4222 loss_cls: 2.2787 loss_bbox: 1.1436 +2024/10/30 18:41:48 - mmengine - INFO - Epoch(train) [111][1200/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:30:02 time: 0.4145 data_time: 0.0376 memory: 4652 grad_norm: 4.4725 loss: 3.3173 loss_cls: 2.2148 loss_bbox: 1.1025 +2024/10/30 18:42:11 - mmengine - INFO - Epoch(train) [111][1250/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:29:41 time: 0.4478 data_time: 0.0421 memory: 4652 grad_norm: 4.7271 loss: 3.3584 loss_cls: 2.2273 loss_bbox: 1.1311 +2024/10/30 18:42:32 - mmengine - INFO - Epoch(train) [111][1300/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:29:19 time: 0.4221 data_time: 0.0449 memory: 4652 grad_norm: 4.8117 loss: 3.3036 loss_cls: 2.2064 loss_bbox: 1.0972 +2024/10/30 18:42:54 - mmengine - INFO - Epoch(train) [111][1350/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:28:58 time: 0.4321 data_time: 0.0385 memory: 4652 grad_norm: 4.7795 loss: 3.3470 loss_cls: 2.2034 loss_bbox: 1.1436 +2024/10/30 18:43:16 - mmengine - INFO - Epoch(train) [111][1400/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:28:37 time: 0.4522 data_time: 0.0390 memory: 4652 grad_norm: 4.5125 loss: 3.3425 loss_cls: 2.2306 loss_bbox: 1.1118 +2024/10/30 18:43:38 - mmengine - INFO - Epoch(train) [111][1450/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:28:15 time: 0.4302 data_time: 0.0414 memory: 4652 grad_norm: 4.5354 loss: 3.3981 loss_cls: 2.2669 loss_bbox: 1.1312 +2024/10/30 18:44:02 - mmengine - INFO - Epoch(train) [111][1500/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:27:54 time: 0.4722 data_time: 0.0477 memory: 4652 grad_norm: 4.7647 loss: 3.3184 loss_cls: 2.2134 loss_bbox: 1.1050 +2024/10/30 18:44:23 - mmengine - INFO - Epoch(train) [111][1550/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:27:32 time: 0.4387 data_time: 0.0368 memory: 4652 grad_norm: 4.6925 loss: 3.4175 loss_cls: 2.2739 loss_bbox: 1.1435 +2024/10/30 18:44:47 - mmengine - INFO - Epoch(train) [111][1600/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:27:11 time: 0.4701 data_time: 0.0437 memory: 4652 grad_norm: 4.7278 loss: 3.3434 loss_cls: 2.2283 loss_bbox: 1.1151 +2024/10/30 18:45:09 - mmengine - INFO - Epoch(train) [111][1650/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:26:50 time: 0.4411 data_time: 0.0373 memory: 4652 grad_norm: 4.8007 loss: 3.3435 loss_cls: 2.2005 loss_bbox: 1.1430 +2024/10/30 18:45:31 - mmengine - INFO - Epoch(train) [111][1700/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:26:28 time: 0.4414 data_time: 0.0363 memory: 4652 grad_norm: 4.6217 loss: 3.3910 loss_cls: 2.2480 loss_bbox: 1.1430 +2024/10/30 18:45:54 - mmengine - INFO - Epoch(train) [111][1750/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:26:07 time: 0.4549 data_time: 0.0509 memory: 4652 grad_norm: 4.6624 loss: 3.3598 loss_cls: 2.2244 loss_bbox: 1.1354 +2024/10/30 18:46:16 - mmengine - INFO - Epoch(train) [111][1800/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:25:45 time: 0.4323 data_time: 0.0379 memory: 4652 grad_norm: 4.5976 loss: 3.2474 loss_cls: 2.1642 loss_bbox: 1.0832 +2024/10/30 18:46:39 - mmengine - INFO - Epoch(train) [111][1850/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:25:24 time: 0.4724 data_time: 0.0448 memory: 4652 grad_norm: 4.6392 loss: 3.3428 loss_cls: 2.2271 loss_bbox: 1.1157 +2024/10/30 18:47:01 - mmengine - INFO - Epoch(train) [111][1900/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:25:03 time: 0.4308 data_time: 0.0364 memory: 4652 grad_norm: 4.5308 loss: 3.3095 loss_cls: 2.2257 loss_bbox: 1.0838 +2024/10/30 18:47:23 - mmengine - INFO - Epoch(train) [111][1950/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:24:41 time: 0.4373 data_time: 0.0369 memory: 4652 grad_norm: 4.5776 loss: 3.3960 loss_cls: 2.2514 loss_bbox: 1.1447 +2024/10/30 18:47:46 - mmengine - INFO - Epoch(train) [111][2000/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:24:20 time: 0.4578 data_time: 0.0379 memory: 4652 grad_norm: 5.0081 loss: 3.3405 loss_cls: 2.2590 loss_bbox: 1.0815 +2024/10/30 18:48:07 - mmengine - INFO - Epoch(train) [111][2050/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:23:58 time: 0.4346 data_time: 0.0442 memory: 4652 grad_norm: 4.6527 loss: 3.4346 loss_cls: 2.2645 loss_bbox: 1.1701 +2024/10/30 18:48:12 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 18:48:30 - mmengine - INFO - Epoch(train) [111][2100/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:23:37 time: 0.4561 data_time: 0.0449 memory: 4652 grad_norm: 4.6863 loss: 3.4362 loss_cls: 2.2779 loss_bbox: 1.1584 +2024/10/30 18:48:52 - mmengine - INFO - Epoch(train) [111][2150/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:23:16 time: 0.4424 data_time: 0.0367 memory: 4652 grad_norm: 4.7117 loss: 3.4428 loss_cls: 2.2714 loss_bbox: 1.1715 +2024/10/30 18:49:14 - mmengine - INFO - Epoch(train) [111][2200/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:22:54 time: 0.4384 data_time: 0.0374 memory: 4652 grad_norm: 4.8377 loss: 3.3467 loss_cls: 2.2219 loss_bbox: 1.1248 +2024/10/30 18:49:37 - mmengine - INFO - Epoch(train) [111][2250/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:22:33 time: 0.4552 data_time: 0.0370 memory: 4652 grad_norm: 4.9384 loss: 3.3510 loss_cls: 2.2522 loss_bbox: 1.0988 +2024/10/30 18:49:58 - mmengine - INFO - Epoch(train) [111][2300/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:22:11 time: 0.4229 data_time: 0.0373 memory: 4652 grad_norm: 4.7732 loss: 3.3923 loss_cls: 2.2551 loss_bbox: 1.1372 +2024/10/30 18:50:22 - mmengine - INFO - Epoch(train) [111][2350/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:21:50 time: 0.4649 data_time: 0.0431 memory: 4652 grad_norm: 4.6363 loss: 3.3559 loss_cls: 2.2407 loss_bbox: 1.1152 +2024/10/30 18:50:44 - mmengine - INFO - Epoch(train) [111][2400/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:21:28 time: 0.4389 data_time: 0.0364 memory: 4652 grad_norm: 4.5950 loss: 3.3352 loss_cls: 2.2103 loss_bbox: 1.1249 +2024/10/30 18:51:06 - mmengine - INFO - Epoch(train) [111][2450/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:21:07 time: 0.4441 data_time: 0.0396 memory: 4652 grad_norm: 4.4305 loss: 3.2729 loss_cls: 2.1870 loss_bbox: 1.0859 +2024/10/30 18:51:30 - mmengine - INFO - Epoch(train) [111][2500/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:20:46 time: 0.4753 data_time: 0.0709 memory: 4652 grad_norm: 4.5340 loss: 3.3138 loss_cls: 2.1921 loss_bbox: 1.1217 +2024/10/30 18:51:52 - mmengine - INFO - Epoch(train) [111][2550/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:20:24 time: 0.4349 data_time: 0.0391 memory: 4652 grad_norm: 4.7031 loss: 3.2898 loss_cls: 2.1856 loss_bbox: 1.1041 +2024/10/30 18:52:15 - mmengine - INFO - Epoch(train) [111][2600/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:20:03 time: 0.4655 data_time: 0.0371 memory: 4652 grad_norm: 5.0550 loss: 3.3229 loss_cls: 2.2201 loss_bbox: 1.1028 +2024/10/30 18:52:37 - mmengine - INFO - Epoch(train) [111][2650/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:19:42 time: 0.4517 data_time: 0.0419 memory: 4652 grad_norm: 4.6694 loss: 3.3694 loss_cls: 2.2514 loss_bbox: 1.1180 +2024/10/30 18:53:00 - mmengine - INFO - Epoch(train) [111][2700/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:19:20 time: 0.4566 data_time: 0.0379 memory: 4652 grad_norm: 5.0657 loss: 3.3215 loss_cls: 2.2136 loss_bbox: 1.1079 +2024/10/30 18:53:24 - mmengine - INFO - Epoch(train) [111][2750/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:18:59 time: 0.4641 data_time: 0.0377 memory: 4652 grad_norm: 4.4913 loss: 3.3480 loss_cls: 2.2414 loss_bbox: 1.1066 +2024/10/30 18:53:46 - mmengine - INFO - Epoch(train) [111][2800/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:18:37 time: 0.4430 data_time: 0.0380 memory: 4652 grad_norm: 5.0048 loss: 3.2536 loss_cls: 2.1685 loss_bbox: 1.0851 +2024/10/30 18:54:09 - mmengine - INFO - Epoch(train) [111][2850/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:18:16 time: 0.4580 data_time: 0.0493 memory: 4652 grad_norm: 4.8353 loss: 3.3836 loss_cls: 2.2501 loss_bbox: 1.1335 +2024/10/30 18:54:31 - mmengine - INFO - Epoch(train) [111][2900/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:17:55 time: 0.4495 data_time: 0.0378 memory: 4652 grad_norm: 5.3915 loss: 3.3839 loss_cls: 2.2739 loss_bbox: 1.1100 +2024/10/30 18:54:54 - mmengine - INFO - Epoch(train) [111][2950/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:17:33 time: 0.4451 data_time: 0.0419 memory: 4652 grad_norm: 4.9456 loss: 3.2501 loss_cls: 2.1761 loss_bbox: 1.0740 +2024/10/30 18:55:17 - mmengine - INFO - Epoch(train) [111][3000/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:17:12 time: 0.4608 data_time: 0.0449 memory: 4652 grad_norm: 4.5924 loss: 3.3322 loss_cls: 2.2131 loss_bbox: 1.1192 +2024/10/30 18:55:38 - mmengine - INFO - Epoch(train) [111][3050/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 3:16:50 time: 0.4371 data_time: 0.0389 memory: 4652 grad_norm: 4.7796 loss: 3.2868 loss_cls: 2.1831 loss_bbox: 1.1036 +2024/10/30 18:55:40 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 18:55:40 - mmengine - INFO - Saving checkpoint at 111 epochs +2024/10/30 18:55:48 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 18:56:07 - mmengine - INFO - Epoch(train) [112][ 50/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:16:27 time: 0.4495 data_time: 0.0566 memory: 4652 grad_norm: 4.2965 loss: 3.2296 loss_cls: 2.1353 loss_bbox: 1.0944 +2024/10/30 18:56:30 - mmengine - INFO - Epoch(train) [112][ 100/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:16:06 time: 0.4412 data_time: 0.0424 memory: 4652 grad_norm: 4.9011 loss: 3.3222 loss_cls: 2.2443 loss_bbox: 1.0779 +2024/10/30 18:56:50 - mmengine - INFO - Epoch(train) [112][ 150/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:15:44 time: 0.4192 data_time: 0.0396 memory: 4652 grad_norm: 4.7275 loss: 3.3712 loss_cls: 2.2563 loss_bbox: 1.1149 +2024/10/30 18:57:12 - mmengine - INFO - Epoch(train) [112][ 200/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:15:23 time: 0.4280 data_time: 0.0385 memory: 4652 grad_norm: 4.6642 loss: 3.3503 loss_cls: 2.2109 loss_bbox: 1.1394 +2024/10/30 18:57:33 - mmengine - INFO - Epoch(train) [112][ 250/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:15:01 time: 0.4182 data_time: 0.0383 memory: 4652 grad_norm: 4.6115 loss: 3.3867 loss_cls: 2.2484 loss_bbox: 1.1383 +2024/10/30 18:57:54 - mmengine - INFO - Epoch(train) [112][ 300/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:14:40 time: 0.4257 data_time: 0.0383 memory: 4652 grad_norm: 4.5500 loss: 3.3357 loss_cls: 2.2279 loss_bbox: 1.1078 +2024/10/30 18:58:16 - mmengine - INFO - Epoch(train) [112][ 350/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:14:18 time: 0.4302 data_time: 0.0403 memory: 4652 grad_norm: 4.5332 loss: 3.3206 loss_cls: 2.2224 loss_bbox: 1.0982 +2024/10/30 18:58:37 - mmengine - INFO - Epoch(train) [112][ 400/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:13:57 time: 0.4192 data_time: 0.0410 memory: 4652 grad_norm: 4.7299 loss: 3.2760 loss_cls: 2.2014 loss_bbox: 1.0745 +2024/10/30 18:58:59 - mmengine - INFO - Epoch(train) [112][ 450/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:13:35 time: 0.4406 data_time: 0.0444 memory: 4652 grad_norm: 4.4990 loss: 3.2491 loss_cls: 2.1678 loss_bbox: 1.0814 +2024/10/30 18:59:20 - mmengine - INFO - Epoch(train) [112][ 500/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:13:14 time: 0.4237 data_time: 0.0386 memory: 4652 grad_norm: 4.5942 loss: 3.2920 loss_cls: 2.2102 loss_bbox: 1.0819 +2024/10/30 18:59:42 - mmengine - INFO - Epoch(train) [112][ 550/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:12:52 time: 0.4347 data_time: 0.0395 memory: 4652 grad_norm: 4.7202 loss: 3.3495 loss_cls: 2.2100 loss_bbox: 1.1396 +2024/10/30 19:00:03 - mmengine - INFO - Epoch(train) [112][ 600/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:12:31 time: 0.4294 data_time: 0.0387 memory: 4652 grad_norm: 4.5649 loss: 3.2911 loss_cls: 2.2059 loss_bbox: 1.0852 +2024/10/30 19:00:27 - mmengine - INFO - Epoch(train) [112][ 650/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:12:10 time: 0.4788 data_time: 0.0844 memory: 4652 grad_norm: 4.7483 loss: 3.3816 loss_cls: 2.2394 loss_bbox: 1.1422 +2024/10/30 19:00:50 - mmengine - INFO - Epoch(train) [112][ 700/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:11:48 time: 0.4470 data_time: 0.0429 memory: 4652 grad_norm: 4.7860 loss: 3.2727 loss_cls: 2.1872 loss_bbox: 1.0855 +2024/10/30 19:01:11 - mmengine - INFO - Epoch(train) [112][ 750/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:11:27 time: 0.4358 data_time: 0.0450 memory: 4652 grad_norm: 4.7190 loss: 3.3334 loss_cls: 2.2244 loss_bbox: 1.1090 +2024/10/30 19:01:33 - mmengine - INFO - Epoch(train) [112][ 800/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:11:05 time: 0.4355 data_time: 0.0375 memory: 4652 grad_norm: 4.6244 loss: 3.2109 loss_cls: 2.1523 loss_bbox: 1.0586 +2024/10/30 19:01:56 - mmengine - INFO - Epoch(train) [112][ 850/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:10:44 time: 0.4521 data_time: 0.0485 memory: 4652 grad_norm: 4.7180 loss: 3.3001 loss_cls: 2.1890 loss_bbox: 1.1111 +2024/10/30 19:02:17 - mmengine - INFO - Epoch(train) [112][ 900/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:10:23 time: 0.4283 data_time: 0.0386 memory: 4652 grad_norm: 4.8335 loss: 3.3418 loss_cls: 2.2283 loss_bbox: 1.1135 +2024/10/30 19:02:39 - mmengine - INFO - Epoch(train) [112][ 950/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:10:01 time: 0.4378 data_time: 0.0431 memory: 4652 grad_norm: 4.7126 loss: 3.3163 loss_cls: 2.2198 loss_bbox: 1.0965 +2024/10/30 19:03:01 - mmengine - INFO - Epoch(train) [112][1000/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:09:40 time: 0.4270 data_time: 0.0407 memory: 4652 grad_norm: 4.6067 loss: 3.3620 loss_cls: 2.2567 loss_bbox: 1.1053 +2024/10/30 19:03:03 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 19:03:22 - mmengine - INFO - Epoch(train) [112][1050/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:09:18 time: 0.4358 data_time: 0.0401 memory: 4652 grad_norm: 4.8607 loss: 3.3113 loss_cls: 2.2138 loss_bbox: 1.0974 +2024/10/30 19:03:44 - mmengine - INFO - Epoch(train) [112][1100/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:08:57 time: 0.4338 data_time: 0.0458 memory: 4652 grad_norm: 4.6724 loss: 3.2099 loss_cls: 2.1322 loss_bbox: 1.0777 +2024/10/30 19:04:05 - mmengine - INFO - Epoch(train) [112][1150/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:08:35 time: 0.4253 data_time: 0.0381 memory: 4652 grad_norm: 4.6157 loss: 3.3411 loss_cls: 2.1917 loss_bbox: 1.1493 +2024/10/30 19:04:26 - mmengine - INFO - Epoch(train) [112][1200/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:08:14 time: 0.4209 data_time: 0.0401 memory: 4652 grad_norm: 4.6886 loss: 3.3672 loss_cls: 2.2146 loss_bbox: 1.1526 +2024/10/30 19:04:48 - mmengine - INFO - Epoch(train) [112][1250/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:07:52 time: 0.4323 data_time: 0.0404 memory: 4652 grad_norm: 4.7233 loss: 3.3180 loss_cls: 2.2050 loss_bbox: 1.1130 +2024/10/30 19:05:10 - mmengine - INFO - Epoch(train) [112][1300/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:07:31 time: 0.4324 data_time: 0.0405 memory: 4652 grad_norm: 4.6426 loss: 3.3327 loss_cls: 2.2215 loss_bbox: 1.1112 +2024/10/30 19:05:31 - mmengine - INFO - Epoch(train) [112][1350/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:07:09 time: 0.4282 data_time: 0.0376 memory: 4652 grad_norm: 4.9411 loss: 3.3489 loss_cls: 2.2246 loss_bbox: 1.1243 +2024/10/30 19:05:53 - mmengine - INFO - Epoch(train) [112][1400/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:06:48 time: 0.4336 data_time: 0.0385 memory: 4652 grad_norm: 4.7819 loss: 3.3109 loss_cls: 2.2298 loss_bbox: 1.0811 +2024/10/30 19:06:14 - mmengine - INFO - Epoch(train) [112][1450/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:06:26 time: 0.4267 data_time: 0.0379 memory: 4652 grad_norm: 4.6617 loss: 3.3559 loss_cls: 2.2210 loss_bbox: 1.1349 +2024/10/30 19:06:36 - mmengine - INFO - Epoch(train) [112][1500/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:06:05 time: 0.4312 data_time: 0.0380 memory: 4652 grad_norm: 4.8244 loss: 3.3523 loss_cls: 2.2347 loss_bbox: 1.1176 +2024/10/30 19:06:58 - mmengine - INFO - Epoch(train) [112][1550/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:05:43 time: 0.4379 data_time: 0.0459 memory: 4652 grad_norm: 4.5062 loss: 3.3564 loss_cls: 2.1859 loss_bbox: 1.1705 +2024/10/30 19:07:20 - mmengine - INFO - Epoch(train) [112][1600/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:05:22 time: 0.4435 data_time: 0.0412 memory: 4652 grad_norm: 4.8394 loss: 3.3089 loss_cls: 2.2242 loss_bbox: 1.0847 +2024/10/30 19:07:42 - mmengine - INFO - Epoch(train) [112][1650/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:05:00 time: 0.4342 data_time: 0.0439 memory: 4652 grad_norm: 4.6999 loss: 3.2856 loss_cls: 2.1875 loss_bbox: 1.0981 +2024/10/30 19:08:03 - mmengine - INFO - Epoch(train) [112][1700/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:04:39 time: 0.4236 data_time: 0.0382 memory: 4652 grad_norm: 4.5511 loss: 3.2792 loss_cls: 2.1916 loss_bbox: 1.0876 +2024/10/30 19:08:28 - mmengine - INFO - Epoch(train) [112][1750/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:04:18 time: 0.5057 data_time: 0.1122 memory: 4652 grad_norm: 4.5836 loss: 3.2643 loss_cls: 2.2017 loss_bbox: 1.0626 +2024/10/30 19:08:50 - mmengine - INFO - Epoch(train) [112][1800/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:03:56 time: 0.4426 data_time: 0.0445 memory: 4652 grad_norm: 4.6711 loss: 3.2784 loss_cls: 2.2083 loss_bbox: 1.0701 +2024/10/30 19:09:13 - mmengine - INFO - Epoch(train) [112][1850/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:03:35 time: 0.4455 data_time: 0.0443 memory: 4652 grad_norm: 4.3907 loss: 3.2181 loss_cls: 2.1510 loss_bbox: 1.0671 +2024/10/30 19:09:35 - mmengine - INFO - Epoch(train) [112][1900/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:03:13 time: 0.4393 data_time: 0.0426 memory: 4652 grad_norm: 4.7184 loss: 3.2198 loss_cls: 2.1792 loss_bbox: 1.0406 +2024/10/30 19:09:56 - mmengine - INFO - Epoch(train) [112][1950/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:02:52 time: 0.4347 data_time: 0.0385 memory: 4652 grad_norm: 4.5876 loss: 3.4127 loss_cls: 2.2730 loss_bbox: 1.1398 +2024/10/30 19:10:18 - mmengine - INFO - Epoch(train) [112][2000/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:02:30 time: 0.4344 data_time: 0.0429 memory: 4652 grad_norm: 4.9412 loss: 3.3731 loss_cls: 2.2500 loss_bbox: 1.1231 +2024/10/30 19:10:21 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 19:10:40 - mmengine - INFO - Epoch(train) [112][2050/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:02:09 time: 0.4388 data_time: 0.0410 memory: 4652 grad_norm: 4.6322 loss: 3.3696 loss_cls: 2.2304 loss_bbox: 1.1392 +2024/10/30 19:11:03 - mmengine - INFO - Epoch(train) [112][2100/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:01:48 time: 0.4556 data_time: 0.0384 memory: 4652 grad_norm: 4.6466 loss: 3.2810 loss_cls: 2.1769 loss_bbox: 1.1042 +2024/10/30 19:11:29 - mmengine - INFO - Epoch(train) [112][2150/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:01:26 time: 0.5151 data_time: 0.1018 memory: 4652 grad_norm: 4.9517 loss: 3.2859 loss_cls: 2.1877 loss_bbox: 1.0981 +2024/10/30 19:11:51 - mmengine - INFO - Epoch(train) [112][2200/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:01:05 time: 0.4458 data_time: 0.0403 memory: 4652 grad_norm: 4.8724 loss: 3.3414 loss_cls: 2.2009 loss_bbox: 1.1405 +2024/10/30 19:12:12 - mmengine - INFO - Epoch(train) [112][2250/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:00:44 time: 0.4273 data_time: 0.0381 memory: 4652 grad_norm: 4.8610 loss: 3.3670 loss_cls: 2.2252 loss_bbox: 1.1418 +2024/10/30 19:12:34 - mmengine - INFO - Epoch(train) [112][2300/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:00:22 time: 0.4366 data_time: 0.0427 memory: 4652 grad_norm: 4.7341 loss: 3.3337 loss_cls: 2.2109 loss_bbox: 1.1228 +2024/10/30 19:12:57 - mmengine - INFO - Epoch(train) [112][2350/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 3:00:01 time: 0.4490 data_time: 0.0439 memory: 4652 grad_norm: 4.8519 loss: 3.3307 loss_cls: 2.2401 loss_bbox: 1.0906 +2024/10/30 19:13:19 - mmengine - INFO - Epoch(train) [112][2400/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 2:59:39 time: 0.4439 data_time: 0.0381 memory: 4652 grad_norm: 4.8168 loss: 3.2732 loss_cls: 2.1722 loss_bbox: 1.1010 +2024/10/30 19:13:42 - mmengine - INFO - Epoch(train) [112][2450/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 2:59:18 time: 0.4574 data_time: 0.0465 memory: 4652 grad_norm: 4.7427 loss: 3.3596 loss_cls: 2.2381 loss_bbox: 1.1215 +2024/10/30 19:14:04 - mmengine - INFO - Epoch(train) [112][2500/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 2:58:56 time: 0.4428 data_time: 0.0428 memory: 4652 grad_norm: 4.8352 loss: 3.3258 loss_cls: 2.2214 loss_bbox: 1.1044 +2024/10/30 19:14:29 - mmengine - INFO - Epoch(train) [112][2550/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 2:58:35 time: 0.4970 data_time: 0.0957 memory: 4652 grad_norm: 4.7779 loss: 3.3182 loss_cls: 2.2238 loss_bbox: 1.0944 +2024/10/30 19:14:51 - mmengine - INFO - Epoch(train) [112][2600/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 2:58:14 time: 0.4463 data_time: 0.0382 memory: 4652 grad_norm: 4.6087 loss: 3.3727 loss_cls: 2.2368 loss_bbox: 1.1359 +2024/10/30 19:15:13 - mmengine - INFO - Epoch(train) [112][2650/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 2:57:52 time: 0.4409 data_time: 0.0390 memory: 4652 grad_norm: 4.6074 loss: 3.2380 loss_cls: 2.1575 loss_bbox: 1.0805 +2024/10/30 19:15:37 - mmengine - INFO - Epoch(train) [112][2700/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 2:57:31 time: 0.4644 data_time: 0.0384 memory: 4652 grad_norm: 5.0023 loss: 3.3931 loss_cls: 2.2678 loss_bbox: 1.1254 +2024/10/30 19:15:59 - mmengine - INFO - Epoch(train) [112][2750/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 2:57:10 time: 0.4505 data_time: 0.0403 memory: 4652 grad_norm: 4.7446 loss: 3.3845 loss_cls: 2.2366 loss_bbox: 1.1479 +2024/10/30 19:16:22 - mmengine - INFO - Epoch(train) [112][2800/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 2:56:48 time: 0.4618 data_time: 0.0423 memory: 4652 grad_norm: 4.8974 loss: 3.3591 loss_cls: 2.2338 loss_bbox: 1.1253 +2024/10/30 19:16:45 - mmengine - INFO - Epoch(train) [112][2850/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 2:56:27 time: 0.4505 data_time: 0.0395 memory: 4652 grad_norm: 4.8200 loss: 3.4436 loss_cls: 2.2834 loss_bbox: 1.1601 +2024/10/30 19:17:07 - mmengine - INFO - Epoch(train) [112][2900/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 2:56:05 time: 0.4514 data_time: 0.0447 memory: 4652 grad_norm: 4.6263 loss: 3.3047 loss_cls: 2.1964 loss_bbox: 1.1082 +2024/10/30 19:17:31 - mmengine - INFO - Epoch(train) [112][2950/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 2:55:44 time: 0.4739 data_time: 0.0407 memory: 4652 grad_norm: 5.1638 loss: 3.2538 loss_cls: 2.2090 loss_bbox: 1.0448 +2024/10/30 19:17:54 - mmengine - INFO - Epoch(train) [112][3000/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 2:55:23 time: 0.4595 data_time: 0.0379 memory: 4652 grad_norm: 4.6442 loss: 3.3592 loss_cls: 2.2344 loss_bbox: 1.1249 +2024/10/30 19:17:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 19:18:17 - mmengine - INFO - Epoch(train) [112][3050/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 2:55:01 time: 0.4532 data_time: 0.0393 memory: 4652 grad_norm: 4.8157 loss: 3.4258 loss_cls: 2.2746 loss_bbox: 1.1512 +2024/10/30 19:18:19 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 19:18:19 - mmengine - INFO - Saving checkpoint at 112 epochs +2024/10/30 19:18:46 - mmengine - INFO - Epoch(train) [113][ 50/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:54:38 time: 0.4436 data_time: 0.0583 memory: 4652 grad_norm: 4.3645 loss: 3.2521 loss_cls: 2.1938 loss_bbox: 1.0584 +2024/10/30 19:19:08 - mmengine - INFO - Epoch(train) [113][ 100/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:54:17 time: 0.4257 data_time: 0.0503 memory: 4652 grad_norm: 4.8319 loss: 3.2507 loss_cls: 2.2006 loss_bbox: 1.0502 +2024/10/30 19:19:29 - mmengine - INFO - Epoch(train) [113][ 150/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:53:55 time: 0.4308 data_time: 0.0394 memory: 4652 grad_norm: 4.9681 loss: 3.2865 loss_cls: 2.1919 loss_bbox: 1.0946 +2024/10/30 19:19:50 - mmengine - INFO - Epoch(train) [113][ 200/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:53:34 time: 0.4088 data_time: 0.0399 memory: 4652 grad_norm: 4.7787 loss: 3.2778 loss_cls: 2.1937 loss_bbox: 1.0841 +2024/10/30 19:20:11 - mmengine - INFO - Epoch(train) [113][ 250/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:53:12 time: 0.4344 data_time: 0.0412 memory: 4652 grad_norm: 4.8502 loss: 3.2548 loss_cls: 2.2103 loss_bbox: 1.0445 +2024/10/30 19:20:32 - mmengine - INFO - Epoch(train) [113][ 300/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:52:51 time: 0.4171 data_time: 0.0410 memory: 4652 grad_norm: 4.3962 loss: 3.2866 loss_cls: 2.1783 loss_bbox: 1.1083 +2024/10/30 19:20:54 - mmengine - INFO - Epoch(train) [113][ 350/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:52:29 time: 0.4334 data_time: 0.0532 memory: 4652 grad_norm: 4.6793 loss: 3.3611 loss_cls: 2.2348 loss_bbox: 1.1263 +2024/10/30 19:21:15 - mmengine - INFO - Epoch(train) [113][ 400/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:52:08 time: 0.4242 data_time: 0.0405 memory: 4652 grad_norm: 4.7542 loss: 3.3171 loss_cls: 2.1970 loss_bbox: 1.1201 +2024/10/30 19:21:36 - mmengine - INFO - Epoch(train) [113][ 450/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:51:46 time: 0.4166 data_time: 0.0390 memory: 4652 grad_norm: 5.0861 loss: 3.2076 loss_cls: 2.1823 loss_bbox: 1.0253 +2024/10/30 19:21:57 - mmengine - INFO - Epoch(train) [113][ 500/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:51:25 time: 0.4231 data_time: 0.0448 memory: 4652 grad_norm: 4.6572 loss: 3.2310 loss_cls: 2.1604 loss_bbox: 1.0706 +2024/10/30 19:22:18 - mmengine - INFO - Epoch(train) [113][ 550/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:51:03 time: 0.4095 data_time: 0.0404 memory: 4652 grad_norm: 4.7481 loss: 3.2868 loss_cls: 2.1921 loss_bbox: 1.0946 +2024/10/30 19:22:38 - mmengine - INFO - Epoch(train) [113][ 600/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:50:41 time: 0.4107 data_time: 0.0393 memory: 4652 grad_norm: 4.6843 loss: 3.3320 loss_cls: 2.2124 loss_bbox: 1.1197 +2024/10/30 19:23:00 - mmengine - INFO - Epoch(train) [113][ 650/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:50:20 time: 0.4281 data_time: 0.0472 memory: 4652 grad_norm: 4.7181 loss: 3.3783 loss_cls: 2.2405 loss_bbox: 1.1377 +2024/10/30 19:23:21 - mmengine - INFO - Epoch(train) [113][ 700/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:49:58 time: 0.4202 data_time: 0.0489 memory: 4652 grad_norm: 4.7195 loss: 3.2742 loss_cls: 2.1813 loss_bbox: 1.0930 +2024/10/30 19:23:42 - mmengine - INFO - Epoch(train) [113][ 750/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:49:37 time: 0.4203 data_time: 0.0408 memory: 4652 grad_norm: 4.7338 loss: 3.2691 loss_cls: 2.1716 loss_bbox: 1.0975 +2024/10/30 19:24:03 - mmengine - INFO - Epoch(train) [113][ 800/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:49:15 time: 0.4134 data_time: 0.0451 memory: 4652 grad_norm: 5.0232 loss: 3.2960 loss_cls: 2.1785 loss_bbox: 1.1175 +2024/10/30 19:24:27 - mmengine - INFO - Epoch(train) [113][ 850/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:48:54 time: 0.4851 data_time: 0.1089 memory: 4652 grad_norm: 4.6869 loss: 3.2901 loss_cls: 2.1709 loss_bbox: 1.1191 +2024/10/30 19:24:48 - mmengine - INFO - Epoch(train) [113][ 900/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:48:33 time: 0.4218 data_time: 0.0398 memory: 4652 grad_norm: 4.4620 loss: 3.3136 loss_cls: 2.1980 loss_bbox: 1.1156 +2024/10/30 19:25:09 - mmengine - INFO - Epoch(train) [113][ 950/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:48:11 time: 0.4180 data_time: 0.0430 memory: 4652 grad_norm: 4.6431 loss: 3.2338 loss_cls: 2.1577 loss_bbox: 1.0761 +2024/10/30 19:25:10 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 19:25:30 - mmengine - INFO - Epoch(train) [113][1000/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:47:49 time: 0.4126 data_time: 0.0397 memory: 4652 grad_norm: 4.8452 loss: 3.3446 loss_cls: 2.2333 loss_bbox: 1.1113 +2024/10/30 19:25:51 - mmengine - INFO - Epoch(train) [113][1050/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:47:28 time: 0.4173 data_time: 0.0489 memory: 4652 grad_norm: 4.7656 loss: 3.2818 loss_cls: 2.1806 loss_bbox: 1.1012 +2024/10/30 19:26:12 - mmengine - INFO - Epoch(train) [113][1100/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:47:06 time: 0.4180 data_time: 0.0436 memory: 4652 grad_norm: 4.8273 loss: 3.3254 loss_cls: 2.2052 loss_bbox: 1.1202 +2024/10/30 19:26:32 - mmengine - INFO - Epoch(train) [113][1150/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:46:45 time: 0.4164 data_time: 0.0390 memory: 4652 grad_norm: 4.5489 loss: 3.2927 loss_cls: 2.2071 loss_bbox: 1.0856 +2024/10/30 19:26:53 - mmengine - INFO - Epoch(train) [113][1200/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:46:23 time: 0.4059 data_time: 0.0479 memory: 4652 grad_norm: 4.6500 loss: 3.3449 loss_cls: 2.2132 loss_bbox: 1.1316 +2024/10/30 19:27:14 - mmengine - INFO - Epoch(train) [113][1250/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:46:02 time: 0.4298 data_time: 0.0471 memory: 4652 grad_norm: 4.8040 loss: 3.2738 loss_cls: 2.2011 loss_bbox: 1.0727 +2024/10/30 19:27:35 - mmengine - INFO - Epoch(train) [113][1300/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:45:40 time: 0.4089 data_time: 0.0457 memory: 4652 grad_norm: 4.6519 loss: 3.3050 loss_cls: 2.1950 loss_bbox: 1.1100 +2024/10/30 19:27:55 - mmengine - INFO - Epoch(train) [113][1350/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:45:19 time: 0.4058 data_time: 0.0386 memory: 4652 grad_norm: 5.1182 loss: 3.2315 loss_cls: 2.1600 loss_bbox: 1.0715 +2024/10/30 19:28:16 - mmengine - INFO - Epoch(train) [113][1400/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:44:57 time: 0.4169 data_time: 0.0377 memory: 4652 grad_norm: 4.8516 loss: 3.3640 loss_cls: 2.2373 loss_bbox: 1.1267 +2024/10/30 19:28:37 - mmengine - INFO - Epoch(train) [113][1450/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:44:36 time: 0.4136 data_time: 0.0380 memory: 4652 grad_norm: 4.9155 loss: 3.2263 loss_cls: 2.1539 loss_bbox: 1.0724 +2024/10/30 19:28:58 - mmengine - INFO - Epoch(train) [113][1500/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:44:14 time: 0.4250 data_time: 0.0421 memory: 4652 grad_norm: 4.6376 loss: 3.3445 loss_cls: 2.2190 loss_bbox: 1.1255 +2024/10/30 19:29:19 - mmengine - INFO - Epoch(train) [113][1550/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:43:53 time: 0.4237 data_time: 0.0439 memory: 4652 grad_norm: 4.6325 loss: 3.3194 loss_cls: 2.2172 loss_bbox: 1.1022 +2024/10/30 19:29:40 - mmengine - INFO - Epoch(train) [113][1600/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:43:31 time: 0.4102 data_time: 0.0395 memory: 4652 grad_norm: 4.8752 loss: 3.3377 loss_cls: 2.2333 loss_bbox: 1.1045 +2024/10/30 19:30:01 - mmengine - INFO - Epoch(train) [113][1650/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:43:10 time: 0.4213 data_time: 0.0395 memory: 4652 grad_norm: 4.7158 loss: 3.2625 loss_cls: 2.1740 loss_bbox: 1.0884 +2024/10/30 19:30:22 - mmengine - INFO - Epoch(train) [113][1700/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:42:48 time: 0.4163 data_time: 0.0409 memory: 4652 grad_norm: 4.6206 loss: 3.3334 loss_cls: 2.2158 loss_bbox: 1.1176 +2024/10/30 19:30:42 - mmengine - INFO - Epoch(train) [113][1750/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:42:26 time: 0.4160 data_time: 0.0403 memory: 4652 grad_norm: 4.6305 loss: 3.2959 loss_cls: 2.2186 loss_bbox: 1.0773 +2024/10/30 19:31:03 - mmengine - INFO - Epoch(train) [113][1800/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:42:05 time: 0.4135 data_time: 0.0483 memory: 4652 grad_norm: 4.8515 loss: 3.3000 loss_cls: 2.2161 loss_bbox: 1.0839 +2024/10/30 19:31:28 - mmengine - INFO - Epoch(train) [113][1850/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:41:44 time: 0.4972 data_time: 0.1298 memory: 4652 grad_norm: 4.4790 loss: 3.2839 loss_cls: 2.2041 loss_bbox: 1.0798 +2024/10/30 19:31:49 - mmengine - INFO - Epoch(train) [113][1900/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:41:22 time: 0.4139 data_time: 0.0394 memory: 4652 grad_norm: 4.6685 loss: 3.2510 loss_cls: 2.1817 loss_bbox: 1.0693 +2024/10/30 19:32:10 - mmengine - INFO - Epoch(train) [113][1950/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:41:01 time: 0.4169 data_time: 0.0484 memory: 4652 grad_norm: 4.7004 loss: 3.3095 loss_cls: 2.2265 loss_bbox: 1.0830 +2024/10/30 19:32:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 19:32:31 - mmengine - INFO - Epoch(train) [113][2000/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:40:39 time: 0.4235 data_time: 0.0432 memory: 4652 grad_norm: 5.0886 loss: 3.2510 loss_cls: 2.1979 loss_bbox: 1.0530 +2024/10/30 19:32:52 - mmengine - INFO - Epoch(train) [113][2050/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:40:18 time: 0.4147 data_time: 0.0391 memory: 4652 grad_norm: 4.7234 loss: 3.3507 loss_cls: 2.2259 loss_bbox: 1.1249 +2024/10/30 19:33:13 - mmengine - INFO - Epoch(train) [113][2100/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:39:56 time: 0.4182 data_time: 0.0398 memory: 4652 grad_norm: 4.8171 loss: 3.3141 loss_cls: 2.1976 loss_bbox: 1.1166 +2024/10/30 19:33:34 - mmengine - INFO - Epoch(train) [113][2150/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:39:35 time: 0.4293 data_time: 0.0548 memory: 4652 grad_norm: 5.2587 loss: 3.2822 loss_cls: 2.1989 loss_bbox: 1.0832 +2024/10/30 19:33:55 - mmengine - INFO - Epoch(train) [113][2200/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:39:13 time: 0.4084 data_time: 0.0391 memory: 4652 grad_norm: 4.7290 loss: 3.2750 loss_cls: 2.1824 loss_bbox: 1.0926 +2024/10/30 19:34:15 - mmengine - INFO - Epoch(train) [113][2250/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:38:51 time: 0.4067 data_time: 0.0392 memory: 4652 grad_norm: 5.2296 loss: 3.2551 loss_cls: 2.1693 loss_bbox: 1.0858 +2024/10/30 19:34:35 - mmengine - INFO - Epoch(train) [113][2300/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:38:30 time: 0.4111 data_time: 0.0394 memory: 4652 grad_norm: 4.9513 loss: 3.2812 loss_cls: 2.1941 loss_bbox: 1.0871 +2024/10/30 19:34:56 - mmengine - INFO - Epoch(train) [113][2350/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:38:08 time: 0.4091 data_time: 0.0382 memory: 4652 grad_norm: 4.5455 loss: 3.2837 loss_cls: 2.1881 loss_bbox: 1.0955 +2024/10/30 19:35:17 - mmengine - INFO - Epoch(train) [113][2400/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:37:47 time: 0.4263 data_time: 0.0471 memory: 4652 grad_norm: 5.0045 loss: 3.3051 loss_cls: 2.2235 loss_bbox: 1.0816 +2024/10/30 19:35:38 - mmengine - INFO - Epoch(train) [113][2450/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:37:25 time: 0.4149 data_time: 0.0432 memory: 4652 grad_norm: 4.8929 loss: 3.3217 loss_cls: 2.2066 loss_bbox: 1.1151 +2024/10/30 19:35:59 - mmengine - INFO - Epoch(train) [113][2500/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:37:04 time: 0.4179 data_time: 0.0397 memory: 4652 grad_norm: 4.7636 loss: 3.2068 loss_cls: 2.1504 loss_bbox: 1.0563 +2024/10/30 19:36:20 - mmengine - INFO - Epoch(train) [113][2550/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:36:42 time: 0.4114 data_time: 0.0388 memory: 4652 grad_norm: 4.6415 loss: 3.2670 loss_cls: 2.2011 loss_bbox: 1.0659 +2024/10/30 19:36:40 - mmengine - INFO - Epoch(train) [113][2600/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:36:21 time: 0.4158 data_time: 0.0432 memory: 4652 grad_norm: 4.9363 loss: 3.2775 loss_cls: 2.1942 loss_bbox: 1.0833 +2024/10/30 19:37:01 - mmengine - INFO - Epoch(train) [113][2650/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:35:59 time: 0.4189 data_time: 0.0451 memory: 4652 grad_norm: 4.8154 loss: 3.3540 loss_cls: 2.2188 loss_bbox: 1.1352 +2024/10/30 19:37:22 - mmengine - INFO - Epoch(train) [113][2700/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:35:38 time: 0.4128 data_time: 0.0409 memory: 4652 grad_norm: 4.8552 loss: 3.4046 loss_cls: 2.2606 loss_bbox: 1.1439 +2024/10/30 19:37:43 - mmengine - INFO - Epoch(train) [113][2750/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:35:16 time: 0.4255 data_time: 0.0464 memory: 4652 grad_norm: 4.9505 loss: 3.3051 loss_cls: 2.1822 loss_bbox: 1.1230 +2024/10/30 19:38:04 - mmengine - INFO - Epoch(train) [113][2800/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:34:55 time: 0.4114 data_time: 0.0383 memory: 4652 grad_norm: 4.4863 loss: 3.2369 loss_cls: 2.1884 loss_bbox: 1.0486 +2024/10/30 19:38:27 - mmengine - INFO - Epoch(train) [113][2850/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:34:33 time: 0.4536 data_time: 0.0772 memory: 4652 grad_norm: 4.7908 loss: 3.2477 loss_cls: 2.1749 loss_bbox: 1.0728 +2024/10/30 19:38:48 - mmengine - INFO - Epoch(train) [113][2900/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:34:12 time: 0.4240 data_time: 0.0451 memory: 4652 grad_norm: 4.7911 loss: 3.3166 loss_cls: 2.1902 loss_bbox: 1.1265 +2024/10/30 19:39:10 - mmengine - INFO - Epoch(train) [113][2950/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:33:50 time: 0.4342 data_time: 0.0492 memory: 4652 grad_norm: 4.6175 loss: 3.2514 loss_cls: 2.2028 loss_bbox: 1.0486 +2024/10/30 19:39:10 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 19:39:30 - mmengine - INFO - Epoch(train) [113][3000/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:33:29 time: 0.4138 data_time: 0.0386 memory: 4652 grad_norm: 5.3232 loss: 3.2176 loss_cls: 2.1498 loss_bbox: 1.0678 +2024/10/30 19:39:51 - mmengine - INFO - Epoch(train) [113][3050/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 2:33:07 time: 0.4157 data_time: 0.0475 memory: 4652 grad_norm: 4.7343 loss: 3.3034 loss_cls: 2.1874 loss_bbox: 1.1160 +2024/10/30 19:39:53 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 19:39:53 - mmengine - INFO - Saving checkpoint at 113 epochs +2024/10/30 19:40:19 - mmengine - INFO - Epoch(train) [114][ 50/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:32:44 time: 0.4319 data_time: 0.0562 memory: 4652 grad_norm: 4.6678 loss: 3.2751 loss_cls: 2.1878 loss_bbox: 1.0873 +2024/10/30 19:40:39 - mmengine - INFO - Epoch(train) [114][ 100/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:32:22 time: 0.4062 data_time: 0.0447 memory: 4652 grad_norm: 4.7530 loss: 3.2719 loss_cls: 2.1856 loss_bbox: 1.0863 +2024/10/30 19:41:01 - mmengine - INFO - Epoch(train) [114][ 150/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:32:01 time: 0.4286 data_time: 0.0388 memory: 4652 grad_norm: 4.6918 loss: 3.2766 loss_cls: 2.1874 loss_bbox: 1.0892 +2024/10/30 19:41:22 - mmengine - INFO - Epoch(train) [114][ 200/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:31:39 time: 0.4249 data_time: 0.0396 memory: 4652 grad_norm: 4.7163 loss: 3.3781 loss_cls: 2.2106 loss_bbox: 1.1674 +2024/10/30 19:41:43 - mmengine - INFO - Epoch(train) [114][ 250/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:31:18 time: 0.4296 data_time: 0.0472 memory: 4652 grad_norm: 4.7684 loss: 3.2371 loss_cls: 2.1512 loss_bbox: 1.0859 +2024/10/30 19:42:06 - mmengine - INFO - Epoch(train) [114][ 300/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:30:56 time: 0.4424 data_time: 0.0698 memory: 4652 grad_norm: 4.5616 loss: 3.3590 loss_cls: 2.1991 loss_bbox: 1.1599 +2024/10/30 19:42:28 - mmengine - INFO - Epoch(train) [114][ 350/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:30:35 time: 0.4491 data_time: 0.0616 memory: 4652 grad_norm: 4.7437 loss: 3.2514 loss_cls: 2.1573 loss_bbox: 1.0941 +2024/10/30 19:42:49 - mmengine - INFO - Epoch(train) [114][ 400/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:30:14 time: 0.4234 data_time: 0.0403 memory: 4652 grad_norm: 4.4431 loss: 3.2648 loss_cls: 2.1725 loss_bbox: 1.0923 +2024/10/30 19:43:10 - mmengine - INFO - Epoch(train) [114][ 450/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:29:52 time: 0.4151 data_time: 0.0386 memory: 4652 grad_norm: 4.6641 loss: 3.2957 loss_cls: 2.1664 loss_bbox: 1.1293 +2024/10/30 19:43:32 - mmengine - INFO - Epoch(train) [114][ 500/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:29:31 time: 0.4290 data_time: 0.0381 memory: 4652 grad_norm: 4.3785 loss: 3.2880 loss_cls: 2.1771 loss_bbox: 1.1109 +2024/10/30 19:43:52 - mmengine - INFO - Epoch(train) [114][ 550/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:29:09 time: 0.4116 data_time: 0.0393 memory: 4652 grad_norm: 4.8034 loss: 3.2862 loss_cls: 2.1754 loss_bbox: 1.1108 +2024/10/30 19:44:14 - mmengine - INFO - Epoch(train) [114][ 600/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:28:47 time: 0.4295 data_time: 0.0439 memory: 4652 grad_norm: 4.9445 loss: 3.3114 loss_cls: 2.1958 loss_bbox: 1.1156 +2024/10/30 19:44:35 - mmengine - INFO - Epoch(train) [114][ 650/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:28:26 time: 0.4258 data_time: 0.0425 memory: 4652 grad_norm: 4.7864 loss: 3.2264 loss_cls: 2.1547 loss_bbox: 1.0717 +2024/10/30 19:44:56 - mmengine - INFO - Epoch(train) [114][ 700/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:28:04 time: 0.4279 data_time: 0.0437 memory: 4652 grad_norm: 4.5256 loss: 3.3025 loss_cls: 2.2188 loss_bbox: 1.0837 +2024/10/30 19:45:17 - mmengine - INFO - Epoch(train) [114][ 750/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:27:43 time: 0.4178 data_time: 0.0384 memory: 4652 grad_norm: 4.8966 loss: 3.2369 loss_cls: 2.1590 loss_bbox: 1.0779 +2024/10/30 19:45:38 - mmengine - INFO - Epoch(train) [114][ 800/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:27:21 time: 0.4098 data_time: 0.0381 memory: 4652 grad_norm: 4.7056 loss: 3.2936 loss_cls: 2.2046 loss_bbox: 1.0890 +2024/10/30 19:45:59 - mmengine - INFO - Epoch(train) [114][ 850/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:27:00 time: 0.4294 data_time: 0.0479 memory: 4652 grad_norm: 4.9000 loss: 3.2215 loss_cls: 2.1530 loss_bbox: 1.0685 +2024/10/30 19:46:19 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 19:46:20 - mmengine - INFO - Epoch(train) [114][ 900/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:26:38 time: 0.4073 data_time: 0.0403 memory: 4652 grad_norm: 4.6818 loss: 3.2576 loss_cls: 2.1710 loss_bbox: 1.0866 +2024/10/30 19:46:42 - mmengine - INFO - Epoch(train) [114][ 950/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:26:17 time: 0.4414 data_time: 0.0478 memory: 4652 grad_norm: 4.8355 loss: 3.3132 loss_cls: 2.1848 loss_bbox: 1.1284 +2024/10/30 19:47:03 - mmengine - INFO - Epoch(train) [114][1000/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:25:55 time: 0.4246 data_time: 0.0378 memory: 4652 grad_norm: 4.7411 loss: 3.3104 loss_cls: 2.2072 loss_bbox: 1.1032 +2024/10/30 19:47:26 - mmengine - INFO - Epoch(train) [114][1050/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:25:34 time: 0.4684 data_time: 0.0934 memory: 4652 grad_norm: 4.5095 loss: 3.2731 loss_cls: 2.1882 loss_bbox: 1.0848 +2024/10/30 19:47:48 - mmengine - INFO - Epoch(train) [114][1100/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:25:13 time: 0.4375 data_time: 0.0393 memory: 4652 grad_norm: 4.7989 loss: 3.1759 loss_cls: 2.1329 loss_bbox: 1.0430 +2024/10/30 19:48:09 - mmengine - INFO - Epoch(train) [114][1150/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:24:51 time: 0.4065 data_time: 0.0397 memory: 4652 grad_norm: 4.7229 loss: 3.2583 loss_cls: 2.1590 loss_bbox: 1.0993 +2024/10/30 19:48:31 - mmengine - INFO - Epoch(train) [114][1200/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:24:30 time: 0.4434 data_time: 0.0485 memory: 4652 grad_norm: 4.7060 loss: 3.3177 loss_cls: 2.2082 loss_bbox: 1.1094 +2024/10/30 19:48:52 - mmengine - INFO - Epoch(train) [114][1250/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:24:08 time: 0.4227 data_time: 0.0432 memory: 4652 grad_norm: 5.0287 loss: 3.2196 loss_cls: 2.1443 loss_bbox: 1.0754 +2024/10/30 19:49:12 - mmengine - INFO - Epoch(train) [114][1300/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:23:47 time: 0.4049 data_time: 0.0395 memory: 4652 grad_norm: 5.0345 loss: 3.2725 loss_cls: 2.1846 loss_bbox: 1.0880 +2024/10/30 19:49:34 - mmengine - INFO - Epoch(train) [114][1350/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:23:25 time: 0.4405 data_time: 0.0438 memory: 4652 grad_norm: 4.9067 loss: 3.1596 loss_cls: 2.1384 loss_bbox: 1.0212 +2024/10/30 19:49:54 - mmengine - INFO - Epoch(train) [114][1400/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:23:04 time: 0.4009 data_time: 0.0412 memory: 4652 grad_norm: 4.6287 loss: 3.2690 loss_cls: 2.1779 loss_bbox: 1.0911 +2024/10/30 19:50:16 - mmengine - INFO - Epoch(train) [114][1450/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:22:42 time: 0.4207 data_time: 0.0456 memory: 4652 grad_norm: 4.7973 loss: 3.3128 loss_cls: 2.2061 loss_bbox: 1.1067 +2024/10/30 19:50:36 - mmengine - INFO - Epoch(train) [114][1500/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:22:20 time: 0.4079 data_time: 0.0402 memory: 4652 grad_norm: 4.8598 loss: 3.2572 loss_cls: 2.1872 loss_bbox: 1.0700 +2024/10/30 19:50:57 - mmengine - INFO - Epoch(train) [114][1550/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:21:59 time: 0.4146 data_time: 0.0504 memory: 4652 grad_norm: 5.0229 loss: 3.2105 loss_cls: 2.1365 loss_bbox: 1.0740 +2024/10/30 19:51:19 - mmengine - INFO - Epoch(train) [114][1600/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:21:38 time: 0.4483 data_time: 0.0453 memory: 4652 grad_norm: 4.9972 loss: 3.3059 loss_cls: 2.1887 loss_bbox: 1.1172 +2024/10/30 19:51:40 - mmengine - INFO - Epoch(train) [114][1650/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:21:16 time: 0.4069 data_time: 0.0391 memory: 4652 grad_norm: 4.7224 loss: 3.2835 loss_cls: 2.1838 loss_bbox: 1.0997 +2024/10/30 19:52:01 - mmengine - INFO - Epoch(train) [114][1700/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:20:55 time: 0.4384 data_time: 0.0420 memory: 4652 grad_norm: 4.5036 loss: 3.2552 loss_cls: 2.1537 loss_bbox: 1.1015 +2024/10/30 19:52:27 - mmengine - INFO - Epoch(train) [114][1750/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:20:33 time: 0.5086 data_time: 0.1250 memory: 4652 grad_norm: 4.7913 loss: 3.2996 loss_cls: 2.1840 loss_bbox: 1.1156 +2024/10/30 19:52:48 - mmengine - INFO - Epoch(train) [114][1800/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:20:12 time: 0.4156 data_time: 0.0477 memory: 4652 grad_norm: 4.8651 loss: 3.2537 loss_cls: 2.1692 loss_bbox: 1.0845 +2024/10/30 19:53:10 - mmengine - INFO - Epoch(train) [114][1850/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:19:50 time: 0.4495 data_time: 0.0504 memory: 4652 grad_norm: 4.8115 loss: 3.2758 loss_cls: 2.1947 loss_bbox: 1.0811 +2024/10/30 19:53:30 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 19:53:31 - mmengine - INFO - Epoch(train) [114][1900/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:19:29 time: 0.4076 data_time: 0.0471 memory: 4652 grad_norm: 4.9714 loss: 3.2929 loss_cls: 2.1826 loss_bbox: 1.1104 +2024/10/30 19:53:52 - mmengine - INFO - Epoch(train) [114][1950/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:19:07 time: 0.4234 data_time: 0.0477 memory: 4652 grad_norm: 4.8959 loss: 3.3085 loss_cls: 2.1908 loss_bbox: 1.1177 +2024/10/30 19:54:13 - mmengine - INFO - Epoch(train) [114][2000/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:18:46 time: 0.4136 data_time: 0.0470 memory: 4652 grad_norm: 5.0007 loss: 3.2357 loss_cls: 2.1851 loss_bbox: 1.0507 +2024/10/30 19:54:34 - mmengine - INFO - Epoch(train) [114][2050/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:18:24 time: 0.4236 data_time: 0.0390 memory: 4652 grad_norm: 5.1896 loss: 3.2648 loss_cls: 2.1666 loss_bbox: 1.0982 +2024/10/30 19:54:55 - mmengine - INFO - Epoch(train) [114][2100/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:18:03 time: 0.4223 data_time: 0.0426 memory: 4652 grad_norm: 4.6588 loss: 3.3086 loss_cls: 2.1758 loss_bbox: 1.1328 +2024/10/30 19:55:15 - mmengine - INFO - Epoch(train) [114][2150/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:17:41 time: 0.4087 data_time: 0.0433 memory: 4652 grad_norm: 4.7506 loss: 3.3761 loss_cls: 2.2319 loss_bbox: 1.1442 +2024/10/30 19:55:37 - mmengine - INFO - Epoch(train) [114][2200/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:17:20 time: 0.4323 data_time: 0.0451 memory: 4652 grad_norm: 5.2871 loss: 3.3715 loss_cls: 2.2407 loss_bbox: 1.1309 +2024/10/30 19:55:57 - mmengine - INFO - Epoch(train) [114][2250/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:16:58 time: 0.4073 data_time: 0.0419 memory: 4652 grad_norm: 4.6974 loss: 3.2592 loss_cls: 2.1562 loss_bbox: 1.1030 +2024/10/30 19:56:19 - mmengine - INFO - Epoch(train) [114][2300/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:16:37 time: 0.4274 data_time: 0.0468 memory: 4652 grad_norm: 4.2987 loss: 3.2479 loss_cls: 2.1672 loss_bbox: 1.0806 +2024/10/30 19:56:40 - mmengine - INFO - Epoch(train) [114][2350/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:16:15 time: 0.4172 data_time: 0.0420 memory: 4652 grad_norm: 4.7064 loss: 3.2687 loss_cls: 2.1900 loss_bbox: 1.0787 +2024/10/30 19:57:00 - mmengine - INFO - Epoch(train) [114][2400/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:15:54 time: 0.4001 data_time: 0.0419 memory: 4652 grad_norm: 4.7965 loss: 3.1698 loss_cls: 2.1309 loss_bbox: 1.0389 +2024/10/30 19:57:22 - mmengine - INFO - Epoch(train) [114][2450/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:15:32 time: 0.4454 data_time: 0.0510 memory: 4652 grad_norm: 4.9091 loss: 3.1483 loss_cls: 2.1226 loss_bbox: 1.0256 +2024/10/30 19:57:42 - mmengine - INFO - Epoch(train) [114][2500/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:15:11 time: 0.4074 data_time: 0.0492 memory: 4652 grad_norm: 5.0539 loss: 3.2319 loss_cls: 2.1447 loss_bbox: 1.0871 +2024/10/30 19:58:03 - mmengine - INFO - Epoch(train) [114][2550/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:14:49 time: 0.4114 data_time: 0.0415 memory: 4652 grad_norm: 5.0439 loss: 3.2700 loss_cls: 2.1719 loss_bbox: 1.0981 +2024/10/30 19:58:26 - mmengine - INFO - Epoch(train) [114][2600/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:14:28 time: 0.4600 data_time: 0.0863 memory: 4652 grad_norm: 5.1451 loss: 3.3497 loss_cls: 2.2093 loss_bbox: 1.1404 +2024/10/30 19:58:46 - mmengine - INFO - Epoch(train) [114][2650/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:14:06 time: 0.4099 data_time: 0.0404 memory: 4652 grad_norm: 4.8197 loss: 3.3115 loss_cls: 2.2046 loss_bbox: 1.1069 +2024/10/30 19:59:08 - mmengine - INFO - Epoch(train) [114][2700/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:13:45 time: 0.4325 data_time: 0.0485 memory: 4652 grad_norm: 4.5448 loss: 3.3421 loss_cls: 2.2204 loss_bbox: 1.1217 +2024/10/30 19:59:29 - mmengine - INFO - Epoch(train) [114][2750/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:13:23 time: 0.4221 data_time: 0.0609 memory: 4652 grad_norm: 4.7071 loss: 3.2567 loss_cls: 2.1804 loss_bbox: 1.0763 +2024/10/30 19:59:50 - mmengine - INFO - Epoch(train) [114][2800/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:13:02 time: 0.4137 data_time: 0.0407 memory: 4652 grad_norm: 5.0193 loss: 3.2058 loss_cls: 2.1630 loss_bbox: 1.0428 +2024/10/30 20:00:10 - mmengine - INFO - Epoch(train) [114][2850/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:12:40 time: 0.4031 data_time: 0.0424 memory: 4652 grad_norm: 5.1899 loss: 3.3032 loss_cls: 2.2125 loss_bbox: 1.0907 +2024/10/30 20:00:30 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 20:00:31 - mmengine - INFO - Epoch(train) [114][2900/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:12:19 time: 0.4114 data_time: 0.0405 memory: 4652 grad_norm: 4.6010 loss: 3.2749 loss_cls: 2.1795 loss_bbox: 1.0954 +2024/10/30 20:00:52 - mmengine - INFO - Epoch(train) [114][2950/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:11:57 time: 0.4205 data_time: 0.0518 memory: 4652 grad_norm: 4.6028 loss: 3.1989 loss_cls: 2.1282 loss_bbox: 1.0707 +2024/10/30 20:01:12 - mmengine - INFO - Epoch(train) [114][3000/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:11:35 time: 0.3977 data_time: 0.0418 memory: 4652 grad_norm: 5.1853 loss: 3.3760 loss_cls: 2.2420 loss_bbox: 1.1340 +2024/10/30 20:01:33 - mmengine - INFO - Epoch(train) [114][3050/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 2:11:14 time: 0.4200 data_time: 0.0467 memory: 4652 grad_norm: 4.5137 loss: 3.2517 loss_cls: 2.1539 loss_bbox: 1.0978 +2024/10/30 20:01:34 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 20:01:34 - mmengine - INFO - Saving checkpoint at 114 epochs +2024/10/30 20:02:00 - mmengine - INFO - Epoch(train) [115][ 50/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:10:51 time: 0.4223 data_time: 0.0536 memory: 4652 grad_norm: 4.7131 loss: 3.2309 loss_cls: 2.1544 loss_bbox: 1.0764 +2024/10/30 20:02:20 - mmengine - INFO - Epoch(train) [115][ 100/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:10:29 time: 0.4116 data_time: 0.0403 memory: 4652 grad_norm: 4.7333 loss: 3.2880 loss_cls: 2.1889 loss_bbox: 1.0991 +2024/10/30 20:02:42 - mmengine - INFO - Epoch(train) [115][ 150/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:10:08 time: 0.4346 data_time: 0.0430 memory: 4652 grad_norm: 4.9155 loss: 3.2581 loss_cls: 2.1809 loss_bbox: 1.0772 +2024/10/30 20:03:03 - mmengine - INFO - Epoch(train) [115][ 200/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:09:46 time: 0.4142 data_time: 0.0420 memory: 4652 grad_norm: 4.6467 loss: 3.2598 loss_cls: 2.1769 loss_bbox: 1.0828 +2024/10/30 20:03:27 - mmengine - INFO - Epoch(train) [115][ 250/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:09:25 time: 0.4873 data_time: 0.1018 memory: 4652 grad_norm: 4.8413 loss: 3.2182 loss_cls: 2.1577 loss_bbox: 1.0605 +2024/10/30 20:03:48 - mmengine - INFO - Epoch(train) [115][ 300/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:09:03 time: 0.4213 data_time: 0.0427 memory: 4652 grad_norm: 4.7363 loss: 3.2398 loss_cls: 2.1653 loss_bbox: 1.0745 +2024/10/30 20:04:10 - mmengine - INFO - Epoch(train) [115][ 350/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:08:42 time: 0.4271 data_time: 0.0428 memory: 4652 grad_norm: 4.7622 loss: 3.3225 loss_cls: 2.1898 loss_bbox: 1.1328 +2024/10/30 20:04:31 - mmengine - INFO - Epoch(train) [115][ 400/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:08:20 time: 0.4248 data_time: 0.0466 memory: 4652 grad_norm: 4.6711 loss: 3.3143 loss_cls: 2.2200 loss_bbox: 1.0943 +2024/10/30 20:04:52 - mmengine - INFO - Epoch(train) [115][ 450/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:07:59 time: 0.4150 data_time: 0.0397 memory: 4652 grad_norm: 4.6584 loss: 3.1900 loss_cls: 2.1361 loss_bbox: 1.0538 +2024/10/30 20:05:14 - mmengine - INFO - Epoch(train) [115][ 500/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:07:37 time: 0.4382 data_time: 0.0481 memory: 4652 grad_norm: 4.8931 loss: 3.2176 loss_cls: 2.1516 loss_bbox: 1.0660 +2024/10/30 20:05:34 - mmengine - INFO - Epoch(train) [115][ 550/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:07:16 time: 0.4109 data_time: 0.0395 memory: 4652 grad_norm: 4.5627 loss: 3.2493 loss_cls: 2.1742 loss_bbox: 1.0751 +2024/10/30 20:05:56 - mmengine - INFO - Epoch(train) [115][ 600/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:06:54 time: 0.4326 data_time: 0.0449 memory: 4652 grad_norm: 4.5316 loss: 3.2412 loss_cls: 2.1779 loss_bbox: 1.0633 +2024/10/30 20:06:18 - mmengine - INFO - Epoch(train) [115][ 650/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:06:33 time: 0.4367 data_time: 0.0496 memory: 4652 grad_norm: 4.7974 loss: 3.2989 loss_cls: 2.1995 loss_bbox: 1.0994 +2024/10/30 20:06:39 - mmengine - INFO - Epoch(train) [115][ 700/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:06:11 time: 0.4126 data_time: 0.0391 memory: 4652 grad_norm: 4.6478 loss: 3.1460 loss_cls: 2.1004 loss_bbox: 1.0455 +2024/10/30 20:07:00 - mmengine - INFO - Epoch(train) [115][ 750/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:05:50 time: 0.4333 data_time: 0.0458 memory: 4652 grad_norm: 4.9243 loss: 3.2933 loss_cls: 2.1921 loss_bbox: 1.1012 +2024/10/30 20:07:21 - mmengine - INFO - Epoch(train) [115][ 800/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:05:28 time: 0.4213 data_time: 0.0393 memory: 4652 grad_norm: 5.0407 loss: 3.2641 loss_cls: 2.1609 loss_bbox: 1.1032 +2024/10/30 20:07:40 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 20:07:43 - mmengine - INFO - Epoch(train) [115][ 850/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:05:07 time: 0.4297 data_time: 0.0436 memory: 4652 grad_norm: 4.6512 loss: 3.2415 loss_cls: 2.1513 loss_bbox: 1.0902 +2024/10/30 20:08:05 - mmengine - INFO - Epoch(train) [115][ 900/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:04:46 time: 0.4364 data_time: 0.0389 memory: 4652 grad_norm: 4.6740 loss: 3.3436 loss_cls: 2.2267 loss_bbox: 1.1169 +2024/10/30 20:08:27 - mmengine - INFO - Epoch(train) [115][ 950/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:04:24 time: 0.4508 data_time: 0.0621 memory: 4652 grad_norm: 4.2731 loss: 3.2196 loss_cls: 2.1417 loss_bbox: 1.0779 +2024/10/30 20:08:49 - mmengine - INFO - Epoch(train) [115][1000/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:04:03 time: 0.4417 data_time: 0.0394 memory: 4652 grad_norm: 4.5964 loss: 3.1834 loss_cls: 2.1197 loss_bbox: 1.0637 +2024/10/30 20:09:10 - mmengine - INFO - Epoch(train) [115][1050/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:03:41 time: 0.4155 data_time: 0.0401 memory: 4652 grad_norm: 4.9138 loss: 3.1858 loss_cls: 2.1238 loss_bbox: 1.0620 +2024/10/30 20:09:32 - mmengine - INFO - Epoch(train) [115][1100/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:03:20 time: 0.4402 data_time: 0.0395 memory: 4652 grad_norm: 4.9301 loss: 3.3150 loss_cls: 2.1936 loss_bbox: 1.1214 +2024/10/30 20:09:53 - mmengine - INFO - Epoch(train) [115][1150/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:02:58 time: 0.4252 data_time: 0.0401 memory: 4652 grad_norm: 4.5424 loss: 3.3183 loss_cls: 2.2085 loss_bbox: 1.1098 +2024/10/30 20:10:15 - mmengine - INFO - Epoch(train) [115][1200/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:02:37 time: 0.4238 data_time: 0.0456 memory: 4652 grad_norm: 4.8683 loss: 3.2985 loss_cls: 2.2004 loss_bbox: 1.0981 +2024/10/30 20:10:37 - mmengine - INFO - Epoch(train) [115][1250/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:02:15 time: 0.4421 data_time: 0.0440 memory: 4652 grad_norm: 4.7167 loss: 3.2412 loss_cls: 2.1587 loss_bbox: 1.0825 +2024/10/30 20:10:57 - mmengine - INFO - Epoch(train) [115][1300/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:01:54 time: 0.4122 data_time: 0.0399 memory: 4652 grad_norm: 4.6335 loss: 3.3000 loss_cls: 2.2008 loss_bbox: 1.0992 +2024/10/30 20:11:19 - mmengine - INFO - Epoch(train) [115][1350/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:01:32 time: 0.4375 data_time: 0.0561 memory: 4652 grad_norm: 4.9360 loss: 3.1944 loss_cls: 2.1358 loss_bbox: 1.0585 +2024/10/30 20:11:41 - mmengine - INFO - Epoch(train) [115][1400/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:01:11 time: 0.4294 data_time: 0.0413 memory: 4652 grad_norm: 4.7956 loss: 3.2841 loss_cls: 2.1906 loss_bbox: 1.0935 +2024/10/30 20:12:02 - mmengine - INFO - Epoch(train) [115][1450/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:00:49 time: 0.4274 data_time: 0.0393 memory: 4652 grad_norm: 4.4820 loss: 3.3201 loss_cls: 2.2053 loss_bbox: 1.1148 +2024/10/30 20:12:27 - mmengine - INFO - Epoch(train) [115][1500/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:00:28 time: 0.5036 data_time: 0.1151 memory: 4652 grad_norm: 5.2016 loss: 3.2210 loss_cls: 2.1542 loss_bbox: 1.0669 +2024/10/30 20:12:48 - mmengine - INFO - Epoch(train) [115][1550/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 2:00:06 time: 0.4178 data_time: 0.0432 memory: 4652 grad_norm: 4.9145 loss: 3.3638 loss_cls: 2.2401 loss_bbox: 1.1237 +2024/10/30 20:13:11 - mmengine - INFO - Epoch(train) [115][1600/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:59:45 time: 0.4466 data_time: 0.0449 memory: 4652 grad_norm: 4.5022 loss: 3.2693 loss_cls: 2.1882 loss_bbox: 1.0811 +2024/10/30 20:13:32 - mmengine - INFO - Epoch(train) [115][1650/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:59:23 time: 0.4213 data_time: 0.0440 memory: 4652 grad_norm: 4.9465 loss: 3.2905 loss_cls: 2.1756 loss_bbox: 1.1149 +2024/10/30 20:13:53 - mmengine - INFO - Epoch(train) [115][1700/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:59:02 time: 0.4200 data_time: 0.0428 memory: 4652 grad_norm: 4.6716 loss: 3.3268 loss_cls: 2.2014 loss_bbox: 1.1253 +2024/10/30 20:14:14 - mmengine - INFO - Epoch(train) [115][1750/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:58:40 time: 0.4144 data_time: 0.0402 memory: 4652 grad_norm: 4.6997 loss: 3.1655 loss_cls: 2.1209 loss_bbox: 1.0446 +2024/10/30 20:14:34 - mmengine - INFO - Epoch(train) [115][1800/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:58:19 time: 0.4091 data_time: 0.0397 memory: 4652 grad_norm: 4.5857 loss: 3.2953 loss_cls: 2.1871 loss_bbox: 1.1082 +2024/10/30 20:14:54 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 20:14:56 - mmengine - INFO - Epoch(train) [115][1850/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:57:57 time: 0.4441 data_time: 0.0682 memory: 4652 grad_norm: 5.5049 loss: 3.2174 loss_cls: 2.1524 loss_bbox: 1.0650 +2024/10/30 20:15:17 - mmengine - INFO - Epoch(train) [115][1900/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:57:36 time: 0.4089 data_time: 0.0397 memory: 4652 grad_norm: 4.9227 loss: 3.2861 loss_cls: 2.2004 loss_bbox: 1.0857 +2024/10/30 20:15:38 - mmengine - INFO - Epoch(train) [115][1950/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:57:14 time: 0.4189 data_time: 0.0488 memory: 4652 grad_norm: 4.5641 loss: 3.3097 loss_cls: 2.2110 loss_bbox: 1.0987 +2024/10/30 20:15:59 - mmengine - INFO - Epoch(train) [115][2000/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:56:53 time: 0.4298 data_time: 0.0396 memory: 4652 grad_norm: 4.9103 loss: 3.2587 loss_cls: 2.1710 loss_bbox: 1.0878 +2024/10/30 20:16:20 - mmengine - INFO - Epoch(train) [115][2050/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:56:31 time: 0.4068 data_time: 0.0380 memory: 4652 grad_norm: 4.6905 loss: 3.1357 loss_cls: 2.0933 loss_bbox: 1.0425 +2024/10/30 20:16:41 - mmengine - INFO - Epoch(train) [115][2100/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:56:10 time: 0.4282 data_time: 0.0381 memory: 4652 grad_norm: 4.7197 loss: 3.1594 loss_cls: 2.1249 loss_bbox: 1.0345 +2024/10/30 20:17:02 - mmengine - INFO - Epoch(train) [115][2150/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:55:48 time: 0.4139 data_time: 0.0426 memory: 4652 grad_norm: 4.7079 loss: 3.2755 loss_cls: 2.1729 loss_bbox: 1.1026 +2024/10/30 20:17:27 - mmengine - INFO - Epoch(train) [115][2200/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:55:27 time: 0.5058 data_time: 0.1306 memory: 4652 grad_norm: 4.9026 loss: 3.1992 loss_cls: 2.1463 loss_bbox: 1.0529 +2024/10/30 20:17:48 - mmengine - INFO - Epoch(train) [115][2250/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:55:06 time: 0.4151 data_time: 0.0400 memory: 4652 grad_norm: 4.8235 loss: 3.3083 loss_cls: 2.1991 loss_bbox: 1.1091 +2024/10/30 20:18:09 - mmengine - INFO - Epoch(train) [115][2300/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:54:44 time: 0.4229 data_time: 0.0440 memory: 4652 grad_norm: 4.4891 loss: 3.2544 loss_cls: 2.1773 loss_bbox: 1.0770 +2024/10/30 20:18:31 - mmengine - INFO - Epoch(train) [115][2350/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:54:23 time: 0.4361 data_time: 0.0395 memory: 4652 grad_norm: 4.8857 loss: 3.2312 loss_cls: 2.1556 loss_bbox: 1.0756 +2024/10/30 20:18:51 - mmengine - INFO - Epoch(train) [115][2400/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:54:01 time: 0.4097 data_time: 0.0374 memory: 4652 grad_norm: 4.7586 loss: 3.1661 loss_cls: 2.1128 loss_bbox: 1.0534 +2024/10/30 20:19:13 - mmengine - INFO - Epoch(train) [115][2450/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:53:40 time: 0.4356 data_time: 0.0436 memory: 4652 grad_norm: 4.7806 loss: 3.2903 loss_cls: 2.1710 loss_bbox: 1.1193 +2024/10/30 20:19:34 - mmengine - INFO - Epoch(train) [115][2500/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:53:18 time: 0.4124 data_time: 0.0381 memory: 4652 grad_norm: 5.0463 loss: 3.3207 loss_cls: 2.2102 loss_bbox: 1.1106 +2024/10/30 20:19:54 - mmengine - INFO - Epoch(train) [115][2550/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:52:57 time: 0.4135 data_time: 0.0445 memory: 4652 grad_norm: 4.9741 loss: 3.2905 loss_cls: 2.2085 loss_bbox: 1.0819 +2024/10/30 20:20:16 - mmengine - INFO - Epoch(train) [115][2600/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:52:35 time: 0.4232 data_time: 0.0382 memory: 4652 grad_norm: 5.0898 loss: 3.3279 loss_cls: 2.1899 loss_bbox: 1.1380 +2024/10/30 20:20:37 - mmengine - INFO - Epoch(train) [115][2650/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:52:14 time: 0.4253 data_time: 0.0381 memory: 4652 grad_norm: 4.7031 loss: 3.2221 loss_cls: 2.1636 loss_bbox: 1.0586 +2024/10/30 20:20:58 - mmengine - INFO - Epoch(train) [115][2700/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:51:52 time: 0.4214 data_time: 0.0380 memory: 4652 grad_norm: 4.5768 loss: 3.2687 loss_cls: 2.1771 loss_bbox: 1.0916 +2024/10/30 20:21:19 - mmengine - INFO - Epoch(train) [115][2750/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:51:31 time: 0.4246 data_time: 0.0436 memory: 4652 grad_norm: 4.9343 loss: 3.2139 loss_cls: 2.1672 loss_bbox: 1.0467 +2024/10/30 20:21:40 - mmengine - INFO - Epoch(train) [115][2800/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:51:09 time: 0.4208 data_time: 0.0425 memory: 4652 grad_norm: 4.7617 loss: 3.2162 loss_cls: 2.1528 loss_bbox: 1.0634 +2024/10/30 20:21:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 20:22:02 - mmengine - INFO - Epoch(train) [115][2850/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:50:48 time: 0.4258 data_time: 0.0376 memory: 4652 grad_norm: 5.4903 loss: 3.3187 loss_cls: 2.1920 loss_bbox: 1.1267 +2024/10/30 20:22:26 - mmengine - INFO - Epoch(train) [115][2900/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:50:26 time: 0.4953 data_time: 0.1110 memory: 4652 grad_norm: 4.6751 loss: 3.2096 loss_cls: 2.1397 loss_bbox: 1.0699 +2024/10/30 20:22:48 - mmengine - INFO - Epoch(train) [115][2950/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:50:05 time: 0.4222 data_time: 0.0432 memory: 4652 grad_norm: 4.8538 loss: 3.2683 loss_cls: 2.1658 loss_bbox: 1.1025 +2024/10/30 20:23:09 - mmengine - INFO - Epoch(train) [115][3000/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:49:43 time: 0.4222 data_time: 0.0391 memory: 4652 grad_norm: 4.9387 loss: 3.2194 loss_cls: 2.1460 loss_bbox: 1.0734 +2024/10/30 20:23:30 - mmengine - INFO - Epoch(train) [115][3050/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:49:22 time: 0.4173 data_time: 0.0472 memory: 4652 grad_norm: 4.9504 loss: 3.1668 loss_cls: 2.1168 loss_bbox: 1.0500 +2024/10/30 20:23:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 20:23:32 - mmengine - INFO - Saving checkpoint at 115 epochs +2024/10/30 20:23:41 - mmengine - INFO - Epoch(val) [115][50/79] eta: 0:00:02 time: 0.0738 data_time: 0.0087 memory: 4652 +2024/10/30 20:23:57 - mmengine - INFO - Evaluating bbox... +2024/10/30 20:25:12 - mmengine - INFO - bbox_mAP_copypaste: 0.293 0.475 0.302 0.091 0.348 0.468 +2024/10/30 20:25:13 - mmengine - INFO - Epoch(val) [115][79/79] coco/bbox_mAP: 0.2930 coco/bbox_mAP_50: 0.4750 coco/bbox_mAP_75: 0.3020 coco/bbox_mAP_s: 0.0910 coco/bbox_mAP_m: 0.3480 coco/bbox_mAP_l: 0.4680 data_time: 0.0078 time: 0.0719 +2024/10/30 20:25:36 - mmengine - INFO - Epoch(train) [116][ 50/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:48:59 time: 0.4496 data_time: 0.0658 memory: 4652 grad_norm: 4.5551 loss: 3.2021 loss_cls: 2.1490 loss_bbox: 1.0531 +2024/10/30 20:25:57 - mmengine - INFO - Epoch(train) [116][ 100/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:48:37 time: 0.4166 data_time: 0.0397 memory: 4652 grad_norm: 4.3945 loss: 3.1990 loss_cls: 2.1301 loss_bbox: 1.0689 +2024/10/30 20:26:18 - mmengine - INFO - Epoch(train) [116][ 150/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:48:16 time: 0.4258 data_time: 0.0426 memory: 4652 grad_norm: 4.3916 loss: 3.1188 loss_cls: 2.0807 loss_bbox: 1.0381 +2024/10/30 20:26:39 - mmengine - INFO - Epoch(train) [116][ 200/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:47:54 time: 0.4160 data_time: 0.0460 memory: 4652 grad_norm: 4.4149 loss: 3.1739 loss_cls: 2.1258 loss_bbox: 1.0482 +2024/10/30 20:26:59 - mmengine - INFO - Epoch(train) [116][ 250/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:47:33 time: 0.4160 data_time: 0.0434 memory: 4652 grad_norm: 4.5766 loss: 3.2799 loss_cls: 2.1897 loss_bbox: 1.0902 +2024/10/30 20:27:21 - mmengine - INFO - Epoch(train) [116][ 300/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:47:11 time: 0.4234 data_time: 0.0405 memory: 4652 grad_norm: 4.8744 loss: 3.2681 loss_cls: 2.1578 loss_bbox: 1.1103 +2024/10/30 20:27:42 - mmengine - INFO - Epoch(train) [116][ 350/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:46:50 time: 0.4258 data_time: 0.0460 memory: 4652 grad_norm: 4.6680 loss: 3.1345 loss_cls: 2.1247 loss_bbox: 1.0097 +2024/10/30 20:28:04 - mmengine - INFO - Epoch(train) [116][ 400/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:46:28 time: 0.4351 data_time: 0.0398 memory: 4652 grad_norm: 4.9316 loss: 3.2563 loss_cls: 2.1620 loss_bbox: 1.0944 +2024/10/30 20:28:27 - mmengine - INFO - Epoch(train) [116][ 450/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:46:07 time: 0.4606 data_time: 0.0784 memory: 4652 grad_norm: 4.5217 loss: 3.2942 loss_cls: 2.1694 loss_bbox: 1.1247 +2024/10/30 20:28:48 - mmengine - INFO - Epoch(train) [116][ 500/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:45:45 time: 0.4261 data_time: 0.0390 memory: 4652 grad_norm: 4.9211 loss: 3.2578 loss_cls: 2.1693 loss_bbox: 1.0886 +2024/10/30 20:29:09 - mmengine - INFO - Epoch(train) [116][ 550/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:45:24 time: 0.4170 data_time: 0.0403 memory: 4652 grad_norm: 4.7653 loss: 3.3336 loss_cls: 2.1897 loss_bbox: 1.1439 +2024/10/30 20:29:29 - mmengine - INFO - Epoch(train) [116][ 600/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:45:02 time: 0.4080 data_time: 0.0404 memory: 4652 grad_norm: 4.6932 loss: 3.2181 loss_cls: 2.1513 loss_bbox: 1.0668 +2024/10/30 20:29:51 - mmengine - INFO - Epoch(train) [116][ 650/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:44:41 time: 0.4371 data_time: 0.0466 memory: 4652 grad_norm: 4.6981 loss: 3.1717 loss_cls: 2.1419 loss_bbox: 1.0298 +2024/10/30 20:30:13 - mmengine - INFO - Epoch(train) [116][ 700/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:44:19 time: 0.4288 data_time: 0.0412 memory: 4652 grad_norm: 4.8602 loss: 3.3403 loss_cls: 2.2090 loss_bbox: 1.1314 +2024/10/30 20:30:34 - mmengine - INFO - Epoch(train) [116][ 750/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:43:58 time: 0.4249 data_time: 0.0414 memory: 4652 grad_norm: 4.5902 loss: 3.1480 loss_cls: 2.1092 loss_bbox: 1.0388 +2024/10/30 20:30:51 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 20:30:56 - mmengine - INFO - Epoch(train) [116][ 800/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:43:36 time: 0.4321 data_time: 0.0430 memory: 4652 grad_norm: 4.6837 loss: 3.2434 loss_cls: 2.1512 loss_bbox: 1.0923 +2024/10/30 20:31:17 - mmengine - INFO - Epoch(train) [116][ 850/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:43:15 time: 0.4302 data_time: 0.0413 memory: 4652 grad_norm: 4.7707 loss: 3.2587 loss_cls: 2.1621 loss_bbox: 1.0965 +2024/10/30 20:31:38 - mmengine - INFO - Epoch(train) [116][ 900/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:42:53 time: 0.4181 data_time: 0.0402 memory: 4652 grad_norm: 4.8379 loss: 3.2058 loss_cls: 2.1467 loss_bbox: 1.0591 +2024/10/30 20:32:00 - mmengine - INFO - Epoch(train) [116][ 950/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:42:32 time: 0.4411 data_time: 0.0449 memory: 4652 grad_norm: 4.8060 loss: 3.2625 loss_cls: 2.1740 loss_bbox: 1.0885 +2024/10/30 20:32:22 - mmengine - INFO - Epoch(train) [116][1000/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:42:10 time: 0.4261 data_time: 0.0431 memory: 4652 grad_norm: 4.6819 loss: 3.2214 loss_cls: 2.1598 loss_bbox: 1.0616 +2024/10/30 20:32:43 - mmengine - INFO - Epoch(train) [116][1050/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:41:49 time: 0.4328 data_time: 0.0455 memory: 4652 grad_norm: 5.1535 loss: 3.2635 loss_cls: 2.1686 loss_bbox: 1.0950 +2024/10/30 20:33:05 - mmengine - INFO - Epoch(train) [116][1100/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:41:27 time: 0.4367 data_time: 0.0392 memory: 4652 grad_norm: 4.6895 loss: 3.1636 loss_cls: 2.1215 loss_bbox: 1.0420 +2024/10/30 20:33:26 - mmengine - INFO - Epoch(train) [116][1150/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:41:06 time: 0.4243 data_time: 0.0463 memory: 4652 grad_norm: 4.8058 loss: 3.2399 loss_cls: 2.1608 loss_bbox: 1.0791 +2024/10/30 20:33:48 - mmengine - INFO - Epoch(train) [116][1200/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:40:44 time: 0.4237 data_time: 0.0385 memory: 4652 grad_norm: 4.8855 loss: 3.2491 loss_cls: 2.1731 loss_bbox: 1.0760 +2024/10/30 20:34:09 - mmengine - INFO - Epoch(train) [116][1250/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:40:23 time: 0.4379 data_time: 0.0493 memory: 4652 grad_norm: 4.6941 loss: 3.2072 loss_cls: 2.1656 loss_bbox: 1.0416 +2024/10/30 20:34:31 - mmengine - INFO - Epoch(train) [116][1300/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:40:01 time: 0.4216 data_time: 0.0398 memory: 4652 grad_norm: 4.7005 loss: 3.2115 loss_cls: 2.1614 loss_bbox: 1.0501 +2024/10/30 20:34:52 - mmengine - INFO - Epoch(train) [116][1350/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:39:40 time: 0.4326 data_time: 0.0466 memory: 4652 grad_norm: 4.5181 loss: 3.2113 loss_cls: 2.1402 loss_bbox: 1.0711 +2024/10/30 20:35:13 - mmengine - INFO - Epoch(train) [116][1400/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:39:18 time: 0.4148 data_time: 0.0407 memory: 4652 grad_norm: 4.8927 loss: 3.1308 loss_cls: 2.1202 loss_bbox: 1.0107 +2024/10/30 20:35:35 - mmengine - INFO - Epoch(train) [116][1450/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:38:57 time: 0.4305 data_time: 0.0399 memory: 4652 grad_norm: 4.5642 loss: 3.2460 loss_cls: 2.1751 loss_bbox: 1.0709 +2024/10/30 20:35:57 - mmengine - INFO - Epoch(train) [116][1500/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:38:36 time: 0.4441 data_time: 0.0632 memory: 4652 grad_norm: 4.7160 loss: 3.2540 loss_cls: 2.1913 loss_bbox: 1.0627 +2024/10/30 20:36:19 - mmengine - INFO - Epoch(train) [116][1550/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:38:14 time: 0.4421 data_time: 0.0495 memory: 4652 grad_norm: 4.7347 loss: 3.1840 loss_cls: 2.1206 loss_bbox: 1.0634 +2024/10/30 20:36:42 - mmengine - INFO - Epoch(train) [116][1600/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:37:53 time: 0.4544 data_time: 0.0531 memory: 4652 grad_norm: 4.5765 loss: 3.3017 loss_cls: 2.1854 loss_bbox: 1.1163 +2024/10/30 20:37:03 - mmengine - INFO - Epoch(train) [116][1650/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:37:31 time: 0.4223 data_time: 0.0460 memory: 4652 grad_norm: 4.8879 loss: 3.2482 loss_cls: 2.1344 loss_bbox: 1.1138 +2024/10/30 20:37:28 - mmengine - INFO - Epoch(train) [116][1700/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:37:10 time: 0.4965 data_time: 0.0991 memory: 4652 grad_norm: 4.3773 loss: 3.2160 loss_cls: 2.1536 loss_bbox: 1.0624 +2024/10/30 20:37:49 - mmengine - INFO - Epoch(train) [116][1750/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:36:48 time: 0.4205 data_time: 0.0408 memory: 4652 grad_norm: 4.7085 loss: 3.2697 loss_cls: 2.1767 loss_bbox: 1.0930 +2024/10/30 20:38:06 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 20:38:10 - mmengine - INFO - Epoch(train) [116][1800/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:36:27 time: 0.4207 data_time: 0.0428 memory: 4652 grad_norm: 4.8468 loss: 3.2898 loss_cls: 2.1736 loss_bbox: 1.1162 +2024/10/30 20:38:32 - mmengine - INFO - Epoch(train) [116][1850/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:36:05 time: 0.4524 data_time: 0.0493 memory: 4652 grad_norm: 4.6972 loss: 3.2745 loss_cls: 2.1770 loss_bbox: 1.0976 +2024/10/30 20:38:53 - mmengine - INFO - Epoch(train) [116][1900/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:35:44 time: 0.4031 data_time: 0.0400 memory: 4652 grad_norm: 4.6828 loss: 3.1716 loss_cls: 2.1224 loss_bbox: 1.0492 +2024/10/30 20:39:15 - mmengine - INFO - Epoch(train) [116][1950/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:35:22 time: 0.4490 data_time: 0.0388 memory: 4652 grad_norm: 4.7144 loss: 3.2347 loss_cls: 2.1588 loss_bbox: 1.0759 +2024/10/30 20:39:36 - mmengine - INFO - Epoch(train) [116][2000/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:35:01 time: 0.4137 data_time: 0.0387 memory: 4652 grad_norm: 4.7031 loss: 3.2215 loss_cls: 2.1694 loss_bbox: 1.0521 +2024/10/30 20:39:57 - mmengine - INFO - Epoch(train) [116][2050/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:34:39 time: 0.4230 data_time: 0.0382 memory: 4652 grad_norm: 4.6831 loss: 3.3230 loss_cls: 2.2168 loss_bbox: 1.1062 +2024/10/30 20:40:18 - mmengine - INFO - Epoch(train) [116][2100/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:34:18 time: 0.4275 data_time: 0.0388 memory: 4652 grad_norm: 4.5244 loss: 3.2763 loss_cls: 2.1851 loss_bbox: 1.0912 +2024/10/30 20:40:39 - mmengine - INFO - Epoch(train) [116][2150/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:33:56 time: 0.4215 data_time: 0.0434 memory: 4652 grad_norm: 4.6275 loss: 3.1633 loss_cls: 2.1155 loss_bbox: 1.0479 +2024/10/30 20:41:01 - mmengine - INFO - Epoch(train) [116][2200/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:33:35 time: 0.4278 data_time: 0.0471 memory: 4652 grad_norm: 4.5023 loss: 3.2388 loss_cls: 2.1664 loss_bbox: 1.0724 +2024/10/30 20:41:22 - mmengine - INFO - Epoch(train) [116][2250/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:33:13 time: 0.4284 data_time: 0.0390 memory: 4652 grad_norm: 4.8299 loss: 3.3085 loss_cls: 2.1984 loss_bbox: 1.1101 +2024/10/30 20:41:44 - mmengine - INFO - Epoch(train) [116][2300/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:32:52 time: 0.4287 data_time: 0.0381 memory: 4652 grad_norm: 4.6598 loss: 3.2745 loss_cls: 2.1692 loss_bbox: 1.1053 +2024/10/30 20:42:05 - mmengine - INFO - Epoch(train) [116][2350/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:32:30 time: 0.4263 data_time: 0.0418 memory: 4652 grad_norm: 4.8846 loss: 3.2398 loss_cls: 2.1641 loss_bbox: 1.0757 +2024/10/30 20:42:26 - mmengine - INFO - Epoch(train) [116][2400/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:32:09 time: 0.4239 data_time: 0.0552 memory: 4652 grad_norm: 4.7353 loss: 3.1973 loss_cls: 2.1408 loss_bbox: 1.0565 +2024/10/30 20:42:49 - mmengine - INFO - Epoch(train) [116][2450/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:31:48 time: 0.4492 data_time: 0.0673 memory: 4652 grad_norm: 4.9950 loss: 3.2067 loss_cls: 2.1498 loss_bbox: 1.0569 +2024/10/30 20:43:10 - mmengine - INFO - Epoch(train) [116][2500/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:31:26 time: 0.4242 data_time: 0.0424 memory: 4652 grad_norm: 4.7926 loss: 3.2101 loss_cls: 2.1403 loss_bbox: 1.0699 +2024/10/30 20:43:31 - mmengine - INFO - Epoch(train) [116][2550/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:31:05 time: 0.4251 data_time: 0.0539 memory: 4652 grad_norm: 4.6292 loss: 3.2016 loss_cls: 2.1416 loss_bbox: 1.0600 +2024/10/30 20:43:54 - mmengine - INFO - Epoch(train) [116][2600/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:30:43 time: 0.4463 data_time: 0.0512 memory: 4652 grad_norm: 4.8102 loss: 3.2081 loss_cls: 2.1334 loss_bbox: 1.0748 +2024/10/30 20:44:14 - mmengine - INFO - Epoch(train) [116][2650/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:30:22 time: 0.4065 data_time: 0.0401 memory: 4652 grad_norm: 4.8659 loss: 3.2326 loss_cls: 2.1448 loss_bbox: 1.0878 +2024/10/30 20:44:35 - mmengine - INFO - Epoch(train) [116][2700/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:30:00 time: 0.4291 data_time: 0.0430 memory: 4652 grad_norm: 4.5791 loss: 3.3088 loss_cls: 2.1927 loss_bbox: 1.1161 +2024/10/30 20:44:57 - mmengine - INFO - Epoch(train) [116][2750/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:29:39 time: 0.4282 data_time: 0.0451 memory: 4652 grad_norm: 4.7952 loss: 3.2513 loss_cls: 2.1646 loss_bbox: 1.0866 +2024/10/30 20:45:14 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 20:45:18 - mmengine - INFO - Epoch(train) [116][2800/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:29:17 time: 0.4280 data_time: 0.0403 memory: 4652 grad_norm: 4.6851 loss: 3.2604 loss_cls: 2.1464 loss_bbox: 1.1140 +2024/10/30 20:45:40 - mmengine - INFO - Epoch(train) [116][2850/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:28:56 time: 0.4412 data_time: 0.0464 memory: 4652 grad_norm: 5.3175 loss: 3.3425 loss_cls: 2.1885 loss_bbox: 1.1540 +2024/10/30 20:46:02 - mmengine - INFO - Epoch(train) [116][2900/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:28:34 time: 0.4275 data_time: 0.0411 memory: 4652 grad_norm: 4.8474 loss: 3.2588 loss_cls: 2.1873 loss_bbox: 1.0715 +2024/10/30 20:46:24 - mmengine - INFO - Epoch(train) [116][2950/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:28:13 time: 0.4440 data_time: 0.0744 memory: 4652 grad_norm: 4.5764 loss: 3.1982 loss_cls: 2.1273 loss_bbox: 1.0709 +2024/10/30 20:46:46 - mmengine - INFO - Epoch(train) [116][3000/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:27:51 time: 0.4371 data_time: 0.0414 memory: 4652 grad_norm: 4.7566 loss: 3.2542 loss_cls: 2.1570 loss_bbox: 1.0972 +2024/10/30 20:47:07 - mmengine - INFO - Epoch(train) [116][3050/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:27:30 time: 0.4177 data_time: 0.0425 memory: 4652 grad_norm: 4.6851 loss: 3.2319 loss_cls: 2.1529 loss_bbox: 1.0790 +2024/10/30 20:47:09 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 20:47:09 - mmengine - INFO - Saving checkpoint at 116 epochs +2024/10/30 20:47:37 - mmengine - INFO - Epoch(train) [117][ 50/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:27:07 time: 0.4565 data_time: 0.0592 memory: 4652 grad_norm: 4.7921 loss: 3.2196 loss_cls: 2.1350 loss_bbox: 1.0846 +2024/10/30 20:47:58 - mmengine - INFO - Epoch(train) [117][ 100/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:26:45 time: 0.4312 data_time: 0.0485 memory: 4652 grad_norm: 4.9762 loss: 3.2396 loss_cls: 2.1850 loss_bbox: 1.0547 +2024/10/30 20:48:20 - mmengine - INFO - Epoch(train) [117][ 150/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:26:24 time: 0.4290 data_time: 0.0476 memory: 4652 grad_norm: 4.5560 loss: 3.1731 loss_cls: 2.1241 loss_bbox: 1.0490 +2024/10/30 20:48:41 - mmengine - INFO - Epoch(train) [117][ 200/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:26:02 time: 0.4273 data_time: 0.0398 memory: 4652 grad_norm: 4.9125 loss: 3.1730 loss_cls: 2.1160 loss_bbox: 1.0569 +2024/10/30 20:49:02 - mmengine - INFO - Epoch(train) [117][ 250/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:25:41 time: 0.4253 data_time: 0.0400 memory: 4652 grad_norm: 4.6599 loss: 3.2204 loss_cls: 2.1535 loss_bbox: 1.0669 +2024/10/30 20:49:26 - mmengine - INFO - Epoch(train) [117][ 300/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:25:19 time: 0.4714 data_time: 0.0798 memory: 4652 grad_norm: 4.6450 loss: 3.1979 loss_cls: 2.1453 loss_bbox: 1.0526 +2024/10/30 20:49:48 - mmengine - INFO - Epoch(train) [117][ 350/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:24:58 time: 0.4333 data_time: 0.0432 memory: 4652 grad_norm: 4.6854 loss: 3.2783 loss_cls: 2.1687 loss_bbox: 1.1096 +2024/10/30 20:50:09 - mmengine - INFO - Epoch(train) [117][ 400/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:24:36 time: 0.4340 data_time: 0.0398 memory: 4652 grad_norm: 4.7372 loss: 3.0771 loss_cls: 2.0775 loss_bbox: 0.9996 +2024/10/30 20:50:31 - mmengine - INFO - Epoch(train) [117][ 450/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:24:15 time: 0.4333 data_time: 0.0386 memory: 4652 grad_norm: 4.6404 loss: 3.2538 loss_cls: 2.1501 loss_bbox: 1.1037 +2024/10/30 20:50:53 - mmengine - INFO - Epoch(train) [117][ 500/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:23:53 time: 0.4391 data_time: 0.0390 memory: 4652 grad_norm: 4.6542 loss: 3.1983 loss_cls: 2.1463 loss_bbox: 1.0520 +2024/10/30 20:51:16 - mmengine - INFO - Epoch(train) [117][ 550/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:23:32 time: 0.4501 data_time: 0.0512 memory: 4652 grad_norm: 4.5825 loss: 3.2599 loss_cls: 2.1597 loss_bbox: 1.1002 +2024/10/30 20:51:37 - mmengine - INFO - Epoch(train) [117][ 600/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:23:10 time: 0.4250 data_time: 0.0464 memory: 4652 grad_norm: 4.5655 loss: 3.2378 loss_cls: 2.1660 loss_bbox: 1.0719 +2024/10/30 20:51:59 - mmengine - INFO - Epoch(train) [117][ 650/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:22:49 time: 0.4425 data_time: 0.0432 memory: 4652 grad_norm: 4.7408 loss: 3.3742 loss_cls: 2.2412 loss_bbox: 1.1330 +2024/10/30 20:52:21 - mmengine - INFO - Epoch(train) [117][ 700/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:22:27 time: 0.4368 data_time: 0.0439 memory: 4652 grad_norm: 4.5883 loss: 3.1652 loss_cls: 2.1012 loss_bbox: 1.0640 +2024/10/30 20:52:37 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 20:52:43 - mmengine - INFO - Epoch(train) [117][ 750/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:22:06 time: 0.4479 data_time: 0.0464 memory: 4652 grad_norm: 4.7579 loss: 3.2883 loss_cls: 2.2101 loss_bbox: 1.0782 +2024/10/30 20:53:05 - mmengine - INFO - Epoch(train) [117][ 800/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:21:45 time: 0.4349 data_time: 0.0390 memory: 4652 grad_norm: 4.8281 loss: 3.1421 loss_cls: 2.0977 loss_bbox: 1.0444 +2024/10/30 20:53:27 - mmengine - INFO - Epoch(train) [117][ 850/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:21:23 time: 0.4417 data_time: 0.0397 memory: 4652 grad_norm: 4.5461 loss: 3.2678 loss_cls: 2.1655 loss_bbox: 1.1023 +2024/10/30 20:53:49 - mmengine - INFO - Epoch(train) [117][ 900/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:21:02 time: 0.4357 data_time: 0.0428 memory: 4652 grad_norm: 5.0458 loss: 3.3152 loss_cls: 2.2118 loss_bbox: 1.1034 +2024/10/30 20:54:11 - mmengine - INFO - Epoch(train) [117][ 950/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:20:40 time: 0.4363 data_time: 0.0438 memory: 4652 grad_norm: 4.8270 loss: 3.2538 loss_cls: 2.1845 loss_bbox: 1.0693 +2024/10/30 20:54:33 - mmengine - INFO - Epoch(train) [117][1000/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:20:19 time: 0.4409 data_time: 0.0484 memory: 4652 grad_norm: 4.8342 loss: 3.2859 loss_cls: 2.1578 loss_bbox: 1.1281 +2024/10/30 20:54:55 - mmengine - INFO - Epoch(train) [117][1050/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:19:57 time: 0.4340 data_time: 0.0469 memory: 4652 grad_norm: 4.8144 loss: 3.2366 loss_cls: 2.1546 loss_bbox: 1.0820 +2024/10/30 20:55:16 - mmengine - INFO - Epoch(train) [117][1100/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:19:36 time: 0.4256 data_time: 0.0379 memory: 4652 grad_norm: 4.7275 loss: 3.2395 loss_cls: 2.1505 loss_bbox: 1.0890 +2024/10/30 20:55:38 - mmengine - INFO - Epoch(train) [117][1150/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:19:14 time: 0.4338 data_time: 0.0393 memory: 4652 grad_norm: 4.9292 loss: 3.2163 loss_cls: 2.1306 loss_bbox: 1.0857 +2024/10/30 20:55:59 - mmengine - INFO - Epoch(train) [117][1200/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:18:53 time: 0.4270 data_time: 0.0446 memory: 4652 grad_norm: 4.9243 loss: 3.2729 loss_cls: 2.1810 loss_bbox: 1.0919 +2024/10/30 20:56:22 - mmengine - INFO - Epoch(train) [117][1250/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:18:31 time: 0.4550 data_time: 0.0584 memory: 4652 grad_norm: 4.6074 loss: 3.1696 loss_cls: 2.1283 loss_bbox: 1.0412 +2024/10/30 20:56:44 - mmengine - INFO - Epoch(train) [117][1300/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:18:10 time: 0.4428 data_time: 0.0521 memory: 4652 grad_norm: 4.7176 loss: 3.2712 loss_cls: 2.1707 loss_bbox: 1.1004 +2024/10/30 20:57:06 - mmengine - INFO - Epoch(train) [117][1350/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:17:48 time: 0.4502 data_time: 0.0480 memory: 4652 grad_norm: 4.7417 loss: 3.2150 loss_cls: 2.1668 loss_bbox: 1.0482 +2024/10/30 20:57:28 - mmengine - INFO - Epoch(train) [117][1400/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:17:27 time: 0.4320 data_time: 0.0498 memory: 4652 grad_norm: 4.5139 loss: 3.1989 loss_cls: 2.1269 loss_bbox: 1.0720 +2024/10/30 20:57:49 - mmengine - INFO - Epoch(train) [117][1450/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:17:05 time: 0.4265 data_time: 0.0397 memory: 4652 grad_norm: 4.9554 loss: 3.1758 loss_cls: 2.1126 loss_bbox: 1.0632 +2024/10/30 20:58:12 - mmengine - INFO - Epoch(train) [117][1500/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:16:44 time: 0.4424 data_time: 0.0517 memory: 4652 grad_norm: 4.7656 loss: 3.1185 loss_cls: 2.1012 loss_bbox: 1.0172 +2024/10/30 20:58:34 - mmengine - INFO - Epoch(train) [117][1550/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:16:22 time: 0.4398 data_time: 0.0477 memory: 4652 grad_norm: 4.7339 loss: 3.1944 loss_cls: 2.1383 loss_bbox: 1.0561 +2024/10/30 20:58:55 - mmengine - INFO - Epoch(train) [117][1600/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:16:01 time: 0.4342 data_time: 0.0464 memory: 4652 grad_norm: 4.8674 loss: 3.2112 loss_cls: 2.1521 loss_bbox: 1.0591 +2024/10/30 20:59:17 - mmengine - INFO - Epoch(train) [117][1650/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:15:40 time: 0.4386 data_time: 0.0546 memory: 4652 grad_norm: 4.8551 loss: 3.3083 loss_cls: 2.1866 loss_bbox: 1.1217 +2024/10/30 20:59:38 - mmengine - INFO - Epoch(train) [117][1700/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:15:18 time: 0.4177 data_time: 0.0404 memory: 4652 grad_norm: 4.7493 loss: 3.2493 loss_cls: 2.1528 loss_bbox: 1.0965 +2024/10/30 20:59:54 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 20:59:59 - mmengine - INFO - Epoch(train) [117][1750/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:14:57 time: 0.4246 data_time: 0.0470 memory: 4652 grad_norm: 4.6453 loss: 3.2224 loss_cls: 2.1662 loss_bbox: 1.0562 +2024/10/30 21:00:21 - mmengine - INFO - Epoch(train) [117][1800/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:14:35 time: 0.4376 data_time: 0.0415 memory: 4652 grad_norm: 4.7383 loss: 3.0973 loss_cls: 2.0655 loss_bbox: 1.0318 +2024/10/30 21:00:43 - mmengine - INFO - Epoch(train) [117][1850/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:14:14 time: 0.4329 data_time: 0.0446 memory: 4652 grad_norm: 4.9665 loss: 3.1840 loss_cls: 2.1218 loss_bbox: 1.0623 +2024/10/30 21:01:05 - mmengine - INFO - Epoch(train) [117][1900/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:13:52 time: 0.4428 data_time: 0.0415 memory: 4652 grad_norm: 4.6349 loss: 3.1763 loss_cls: 2.1247 loss_bbox: 1.0516 +2024/10/30 21:01:27 - mmengine - INFO - Epoch(train) [117][1950/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:13:31 time: 0.4322 data_time: 0.0391 memory: 4652 grad_norm: 4.7858 loss: 3.3097 loss_cls: 2.1815 loss_bbox: 1.1282 +2024/10/30 21:01:48 - mmengine - INFO - Epoch(train) [117][2000/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:13:09 time: 0.4291 data_time: 0.0416 memory: 4652 grad_norm: 4.7967 loss: 3.1929 loss_cls: 2.1259 loss_bbox: 1.0670 +2024/10/30 21:02:10 - mmengine - INFO - Epoch(train) [117][2050/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:12:48 time: 0.4388 data_time: 0.0407 memory: 4652 grad_norm: 5.0190 loss: 3.3131 loss_cls: 2.1910 loss_bbox: 1.1221 +2024/10/30 21:02:32 - mmengine - INFO - Epoch(train) [117][2100/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:12:26 time: 0.4364 data_time: 0.0409 memory: 4652 grad_norm: 4.7391 loss: 3.1692 loss_cls: 2.1196 loss_bbox: 1.0496 +2024/10/30 21:02:54 - mmengine - INFO - Epoch(train) [117][2150/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:12:05 time: 0.4411 data_time: 0.0448 memory: 4652 grad_norm: 4.6194 loss: 3.1922 loss_cls: 2.1319 loss_bbox: 1.0603 +2024/10/30 21:03:16 - mmengine - INFO - Epoch(train) [117][2200/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:11:43 time: 0.4444 data_time: 0.0540 memory: 4652 grad_norm: 4.5418 loss: 3.3363 loss_cls: 2.2025 loss_bbox: 1.1338 +2024/10/30 21:03:38 - mmengine - INFO - Epoch(train) [117][2250/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:11:22 time: 0.4225 data_time: 0.0481 memory: 4652 grad_norm: 4.7089 loss: 3.2069 loss_cls: 2.1378 loss_bbox: 1.0691 +2024/10/30 21:03:59 - mmengine - INFO - Epoch(train) [117][2300/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:11:00 time: 0.4302 data_time: 0.0401 memory: 4652 grad_norm: 4.9353 loss: 3.1656 loss_cls: 2.1230 loss_bbox: 1.0427 +2024/10/30 21:04:20 - mmengine - INFO - Epoch(train) [117][2350/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:10:39 time: 0.4203 data_time: 0.0400 memory: 4652 grad_norm: 4.9080 loss: 3.2243 loss_cls: 2.1745 loss_bbox: 1.0498 +2024/10/30 21:04:42 - mmengine - INFO - Epoch(train) [117][2400/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:10:17 time: 0.4324 data_time: 0.0466 memory: 4652 grad_norm: 4.9935 loss: 3.2145 loss_cls: 2.1591 loss_bbox: 1.0555 +2024/10/30 21:05:03 - mmengine - INFO - Epoch(train) [117][2450/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:09:56 time: 0.4267 data_time: 0.0407 memory: 4652 grad_norm: 4.8883 loss: 3.2585 loss_cls: 2.1644 loss_bbox: 1.0941 +2024/10/30 21:05:27 - mmengine - INFO - Epoch(train) [117][2500/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:09:34 time: 0.4799 data_time: 0.0840 memory: 4652 grad_norm: 5.0068 loss: 3.2624 loss_cls: 2.1739 loss_bbox: 1.0884 +2024/10/30 21:05:49 - mmengine - INFO - Epoch(train) [117][2550/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:09:13 time: 0.4329 data_time: 0.0447 memory: 4652 grad_norm: 4.6722 loss: 3.2524 loss_cls: 2.1644 loss_bbox: 1.0880 +2024/10/30 21:06:10 - mmengine - INFO - Epoch(train) [117][2600/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:08:51 time: 0.4291 data_time: 0.0405 memory: 4652 grad_norm: 4.8061 loss: 3.1782 loss_cls: 2.1345 loss_bbox: 1.0437 +2024/10/30 21:06:32 - mmengine - INFO - Epoch(train) [117][2650/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:08:30 time: 0.4310 data_time: 0.0410 memory: 4652 grad_norm: 4.8460 loss: 3.2781 loss_cls: 2.1798 loss_bbox: 1.0983 +2024/10/30 21:06:54 - mmengine - INFO - Epoch(train) [117][2700/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:08:09 time: 0.4413 data_time: 0.0477 memory: 4652 grad_norm: 4.6240 loss: 3.2544 loss_cls: 2.1820 loss_bbox: 1.0724 +2024/10/30 21:07:10 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 21:07:16 - mmengine - INFO - Epoch(train) [117][2750/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:07:47 time: 0.4358 data_time: 0.0477 memory: 4652 grad_norm: 4.7610 loss: 3.2367 loss_cls: 2.1509 loss_bbox: 1.0858 +2024/10/30 21:07:38 - mmengine - INFO - Epoch(train) [117][2800/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:07:26 time: 0.4424 data_time: 0.0446 memory: 4652 grad_norm: 4.8116 loss: 3.1465 loss_cls: 2.1044 loss_bbox: 1.0420 +2024/10/30 21:07:59 - mmengine - INFO - Epoch(train) [117][2850/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:07:04 time: 0.4269 data_time: 0.0399 memory: 4652 grad_norm: 4.7471 loss: 3.2812 loss_cls: 2.1654 loss_bbox: 1.1158 +2024/10/30 21:08:21 - mmengine - INFO - Epoch(train) [117][2900/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:06:43 time: 0.4378 data_time: 0.0394 memory: 4652 grad_norm: 4.9840 loss: 3.2809 loss_cls: 2.1945 loss_bbox: 1.0864 +2024/10/30 21:08:43 - mmengine - INFO - Epoch(train) [117][2950/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:06:21 time: 0.4296 data_time: 0.0456 memory: 4652 grad_norm: 5.0049 loss: 3.2508 loss_cls: 2.1815 loss_bbox: 1.0692 +2024/10/30 21:09:04 - mmengine - INFO - Epoch(train) [117][3000/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:06:00 time: 0.4278 data_time: 0.0424 memory: 4652 grad_norm: 4.9488 loss: 3.2429 loss_cls: 2.1774 loss_bbox: 1.0655 +2024/10/30 21:09:26 - mmengine - INFO - Epoch(train) [117][3050/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 1:05:38 time: 0.4388 data_time: 0.0403 memory: 4652 grad_norm: 4.9297 loss: 3.2239 loss_cls: 2.1594 loss_bbox: 1.0645 +2024/10/30 21:09:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 21:09:29 - mmengine - INFO - Saving checkpoint at 117 epochs +2024/10/30 21:09:56 - mmengine - INFO - Epoch(train) [118][ 50/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 1:05:15 time: 0.4373 data_time: 0.0555 memory: 4652 grad_norm: 4.3406 loss: 3.2113 loss_cls: 2.1292 loss_bbox: 1.0821 +2024/10/30 21:10:19 - mmengine - INFO - Epoch(train) [118][ 100/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 1:04:54 time: 0.4510 data_time: 0.0528 memory: 4652 grad_norm: 4.6705 loss: 3.2713 loss_cls: 2.1798 loss_bbox: 1.0915 +2024/10/30 21:10:39 - mmengine - INFO - Epoch(train) [118][ 150/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 1:04:32 time: 0.4116 data_time: 0.0389 memory: 4652 grad_norm: 4.7329 loss: 3.2414 loss_cls: 2.1599 loss_bbox: 1.0815 +2024/10/30 21:11:00 - mmengine - INFO - Epoch(train) [118][ 200/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 1:04:11 time: 0.4144 data_time: 0.0446 memory: 4652 grad_norm: 4.6742 loss: 3.2870 loss_cls: 2.1814 loss_bbox: 1.1056 +2024/10/30 21:11:21 - mmengine - INFO - Epoch(train) [118][ 250/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 1:03:49 time: 0.4245 data_time: 0.0407 memory: 4652 grad_norm: 4.6090 loss: 3.2103 loss_cls: 2.1770 loss_bbox: 1.0333 +2024/10/30 21:11:42 - mmengine - INFO - Epoch(train) [118][ 300/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 1:03:28 time: 0.4118 data_time: 0.0384 memory: 4652 grad_norm: 4.6063 loss: 3.2429 loss_cls: 2.1302 loss_bbox: 1.1127 +2024/10/30 21:12:05 - mmengine - INFO - Epoch(train) [118][ 350/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 1:03:06 time: 0.4539 data_time: 0.0560 memory: 4652 grad_norm: 4.8193 loss: 3.3197 loss_cls: 2.1872 loss_bbox: 1.1325 +2024/10/30 21:12:26 - mmengine - INFO - Epoch(train) [118][ 400/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 1:02:45 time: 0.4211 data_time: 0.0408 memory: 4652 grad_norm: 4.6042 loss: 3.2817 loss_cls: 2.1744 loss_bbox: 1.1072 +2024/10/30 21:12:47 - mmengine - INFO - Epoch(train) [118][ 450/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 1:02:23 time: 0.4221 data_time: 0.0398 memory: 4652 grad_norm: 4.7770 loss: 3.1418 loss_cls: 2.1058 loss_bbox: 1.0360 +2024/10/30 21:13:08 - mmengine - INFO - Epoch(train) [118][ 500/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 1:02:02 time: 0.4222 data_time: 0.0445 memory: 4652 grad_norm: 4.5904 loss: 3.2235 loss_cls: 2.1391 loss_bbox: 1.0844 +2024/10/30 21:13:30 - mmengine - INFO - Epoch(train) [118][ 550/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 1:01:40 time: 0.4338 data_time: 0.0466 memory: 4652 grad_norm: 4.6706 loss: 3.2970 loss_cls: 2.1909 loss_bbox: 1.1061 +2024/10/30 21:13:52 - mmengine - INFO - Epoch(train) [118][ 600/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 1:01:19 time: 0.4380 data_time: 0.0365 memory: 4652 grad_norm: 4.6625 loss: 3.3346 loss_cls: 2.1908 loss_bbox: 1.1438 +2024/10/30 21:14:13 - mmengine - INFO - Epoch(train) [118][ 650/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 1:00:57 time: 0.4317 data_time: 0.0521 memory: 4652 grad_norm: 4.8317 loss: 3.2507 loss_cls: 2.1556 loss_bbox: 1.0951 +2024/10/30 21:14:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 21:14:35 - mmengine - INFO - Epoch(train) [118][ 700/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 1:00:36 time: 0.4427 data_time: 0.0405 memory: 4652 grad_norm: 4.5322 loss: 3.2915 loss_cls: 2.1903 loss_bbox: 1.1011 +2024/10/30 21:14:57 - mmengine - INFO - Epoch(train) [118][ 750/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 1:00:14 time: 0.4355 data_time: 0.0454 memory: 4652 grad_norm: 4.6365 loss: 3.1941 loss_cls: 2.1344 loss_bbox: 1.0597 +2024/10/30 21:15:18 - mmengine - INFO - Epoch(train) [118][ 800/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:59:53 time: 0.4255 data_time: 0.0458 memory: 4652 grad_norm: 4.8622 loss: 3.3278 loss_cls: 2.1688 loss_bbox: 1.1590 +2024/10/30 21:15:40 - mmengine - INFO - Epoch(train) [118][ 850/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:59:31 time: 0.4378 data_time: 0.0397 memory: 4652 grad_norm: 4.5914 loss: 3.2565 loss_cls: 2.1564 loss_bbox: 1.1001 +2024/10/30 21:16:02 - mmengine - INFO - Epoch(train) [118][ 900/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:59:10 time: 0.4270 data_time: 0.0457 memory: 4652 grad_norm: 4.8072 loss: 3.1655 loss_cls: 2.1294 loss_bbox: 1.0361 +2024/10/30 21:16:27 - mmengine - INFO - Epoch(train) [118][ 950/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:58:48 time: 0.4952 data_time: 0.1028 memory: 4652 grad_norm: 4.9402 loss: 3.2170 loss_cls: 2.1423 loss_bbox: 1.0746 +2024/10/30 21:16:48 - mmengine - INFO - Epoch(train) [118][1000/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:58:27 time: 0.4296 data_time: 0.0381 memory: 4652 grad_norm: 4.9074 loss: 3.2868 loss_cls: 2.1697 loss_bbox: 1.1170 +2024/10/30 21:17:10 - mmengine - INFO - Epoch(train) [118][1050/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:58:05 time: 0.4297 data_time: 0.0378 memory: 4652 grad_norm: 4.5831 loss: 3.2447 loss_cls: 2.1774 loss_bbox: 1.0673 +2024/10/30 21:17:31 - mmengine - INFO - Epoch(train) [118][1100/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:57:44 time: 0.4357 data_time: 0.0395 memory: 4652 grad_norm: 4.5652 loss: 3.2367 loss_cls: 2.1437 loss_bbox: 1.0929 +2024/10/30 21:17:52 - mmengine - INFO - Epoch(train) [118][1150/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:57:22 time: 0.4201 data_time: 0.0463 memory: 4652 grad_norm: 4.6257 loss: 3.1294 loss_cls: 2.1001 loss_bbox: 1.0293 +2024/10/30 21:18:14 - mmengine - INFO - Epoch(train) [118][1200/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:57:01 time: 0.4267 data_time: 0.0399 memory: 4652 grad_norm: 4.7768 loss: 3.2656 loss_cls: 2.1607 loss_bbox: 1.1049 +2024/10/30 21:18:35 - mmengine - INFO - Epoch(train) [118][1250/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:56:39 time: 0.4281 data_time: 0.0549 memory: 4652 grad_norm: 4.8182 loss: 3.1972 loss_cls: 2.1373 loss_bbox: 1.0599 +2024/10/30 21:18:56 - mmengine - INFO - Epoch(train) [118][1300/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:56:18 time: 0.4167 data_time: 0.0392 memory: 4652 grad_norm: 4.5259 loss: 3.1966 loss_cls: 2.1623 loss_bbox: 1.0343 +2024/10/30 21:19:18 - mmengine - INFO - Epoch(train) [118][1350/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:55:56 time: 0.4290 data_time: 0.0471 memory: 4652 grad_norm: 4.7828 loss: 3.2011 loss_cls: 2.1335 loss_bbox: 1.0676 +2024/10/30 21:19:38 - mmengine - INFO - Epoch(train) [118][1400/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:55:35 time: 0.4121 data_time: 0.0391 memory: 4652 grad_norm: 4.6393 loss: 3.1513 loss_cls: 2.0942 loss_bbox: 1.0571 +2024/10/30 21:20:00 - mmengine - INFO - Epoch(train) [118][1450/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:55:13 time: 0.4341 data_time: 0.0462 memory: 4652 grad_norm: 4.7625 loss: 3.2453 loss_cls: 2.1762 loss_bbox: 1.0691 +2024/10/30 21:20:21 - mmengine - INFO - Epoch(train) [118][1500/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:54:52 time: 0.4211 data_time: 0.0583 memory: 4652 grad_norm: 4.9470 loss: 3.2750 loss_cls: 2.1537 loss_bbox: 1.1213 +2024/10/30 21:20:42 - mmengine - INFO - Epoch(train) [118][1550/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:54:30 time: 0.4190 data_time: 0.0489 memory: 4652 grad_norm: 4.9324 loss: 3.2802 loss_cls: 2.1800 loss_bbox: 1.1002 +2024/10/30 21:21:03 - mmengine - INFO - Epoch(train) [118][1600/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:54:09 time: 0.4176 data_time: 0.0417 memory: 4652 grad_norm: 4.7722 loss: 3.2476 loss_cls: 2.1569 loss_bbox: 1.0907 +2024/10/30 21:21:26 - mmengine - INFO - Epoch(train) [118][1650/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:53:47 time: 0.4595 data_time: 0.0770 memory: 4652 grad_norm: 4.8315 loss: 3.2102 loss_cls: 2.1474 loss_bbox: 1.0628 +2024/10/30 21:21:40 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 21:21:47 - mmengine - INFO - Epoch(train) [118][1700/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:53:26 time: 0.4187 data_time: 0.0425 memory: 4652 grad_norm: 4.9912 loss: 3.2902 loss_cls: 2.1742 loss_bbox: 1.1160 +2024/10/30 21:22:08 - mmengine - INFO - Epoch(train) [118][1750/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:53:04 time: 0.4240 data_time: 0.0421 memory: 4652 grad_norm: 4.7582 loss: 3.1587 loss_cls: 2.0933 loss_bbox: 1.0654 +2024/10/30 21:22:29 - mmengine - INFO - Epoch(train) [118][1800/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:52:43 time: 0.4121 data_time: 0.0393 memory: 4652 grad_norm: 4.7781 loss: 3.2449 loss_cls: 2.1505 loss_bbox: 1.0944 +2024/10/30 21:22:50 - mmengine - INFO - Epoch(train) [118][1850/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:52:22 time: 0.4339 data_time: 0.0450 memory: 4652 grad_norm: 4.6971 loss: 3.2120 loss_cls: 2.1399 loss_bbox: 1.0721 +2024/10/30 21:23:12 - mmengine - INFO - Epoch(train) [118][1900/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:52:00 time: 0.4219 data_time: 0.0394 memory: 4652 grad_norm: 4.8155 loss: 3.1761 loss_cls: 2.1494 loss_bbox: 1.0268 +2024/10/30 21:23:34 - mmengine - INFO - Epoch(train) [118][1950/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:51:39 time: 0.4436 data_time: 0.0564 memory: 4652 grad_norm: 4.8821 loss: 3.1990 loss_cls: 2.1410 loss_bbox: 1.0579 +2024/10/30 21:23:56 - mmengine - INFO - Epoch(train) [118][2000/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:51:17 time: 0.4368 data_time: 0.0476 memory: 4652 grad_norm: 4.9538 loss: 3.2454 loss_cls: 2.1493 loss_bbox: 1.0961 +2024/10/30 21:24:16 - mmengine - INFO - Epoch(train) [118][2050/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:50:56 time: 0.4147 data_time: 0.0458 memory: 4652 grad_norm: 4.9830 loss: 3.2266 loss_cls: 2.1502 loss_bbox: 1.0763 +2024/10/30 21:24:38 - mmengine - INFO - Epoch(train) [118][2100/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:50:34 time: 0.4405 data_time: 0.0444 memory: 4652 grad_norm: 4.6452 loss: 3.1823 loss_cls: 2.1016 loss_bbox: 1.0807 +2024/10/30 21:25:00 - mmengine - INFO - Epoch(train) [118][2150/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:50:13 time: 0.4370 data_time: 0.0443 memory: 4652 grad_norm: 4.5055 loss: 3.2488 loss_cls: 2.1704 loss_bbox: 1.0784 +2024/10/30 21:25:22 - mmengine - INFO - Epoch(train) [118][2200/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:49:51 time: 0.4354 data_time: 0.0454 memory: 4652 grad_norm: 4.7934 loss: 3.1618 loss_cls: 2.1210 loss_bbox: 1.0409 +2024/10/30 21:25:44 - mmengine - INFO - Epoch(train) [118][2250/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:49:30 time: 0.4338 data_time: 0.0421 memory: 4652 grad_norm: 5.1700 loss: 3.1983 loss_cls: 2.1309 loss_bbox: 1.0674 +2024/10/30 21:26:05 - mmengine - INFO - Epoch(train) [118][2300/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:49:08 time: 0.4288 data_time: 0.0411 memory: 4652 grad_norm: 4.6915 loss: 3.2511 loss_cls: 2.1656 loss_bbox: 1.0855 +2024/10/30 21:26:27 - mmengine - INFO - Epoch(train) [118][2350/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:48:47 time: 0.4238 data_time: 0.0406 memory: 4652 grad_norm: 4.7766 loss: 3.1457 loss_cls: 2.1108 loss_bbox: 1.0349 +2024/10/30 21:26:48 - mmengine - INFO - Epoch(train) [118][2400/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:48:25 time: 0.4239 data_time: 0.0402 memory: 4652 grad_norm: 4.8282 loss: 3.2541 loss_cls: 2.1487 loss_bbox: 1.1054 +2024/10/30 21:27:10 - mmengine - INFO - Epoch(train) [118][2450/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:48:04 time: 0.4365 data_time: 0.0495 memory: 4652 grad_norm: 4.7398 loss: 3.2792 loss_cls: 2.1635 loss_bbox: 1.1157 +2024/10/30 21:27:31 - mmengine - INFO - Epoch(train) [118][2500/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:47:42 time: 0.4271 data_time: 0.0449 memory: 4652 grad_norm: 4.7894 loss: 3.2476 loss_cls: 2.1506 loss_bbox: 1.0970 +2024/10/30 21:27:53 - mmengine - INFO - Epoch(train) [118][2550/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:47:21 time: 0.4290 data_time: 0.0441 memory: 4652 grad_norm: 4.7005 loss: 3.2154 loss_cls: 2.1358 loss_bbox: 1.0796 +2024/10/30 21:28:14 - mmengine - INFO - Epoch(train) [118][2600/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:46:59 time: 0.4332 data_time: 0.0401 memory: 4652 grad_norm: 4.6780 loss: 3.1782 loss_cls: 2.1266 loss_bbox: 1.0517 +2024/10/30 21:28:36 - mmengine - INFO - Epoch(train) [118][2650/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:46:38 time: 0.4331 data_time: 0.0437 memory: 4652 grad_norm: 5.0597 loss: 3.2687 loss_cls: 2.1896 loss_bbox: 1.0791 +2024/10/30 21:28:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 21:28:57 - mmengine - INFO - Epoch(train) [118][2700/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:46:16 time: 0.4238 data_time: 0.0423 memory: 4652 grad_norm: 4.9312 loss: 3.2024 loss_cls: 2.1293 loss_bbox: 1.0731 +2024/10/30 21:29:19 - mmengine - INFO - Epoch(train) [118][2750/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:45:55 time: 0.4337 data_time: 0.0374 memory: 4652 grad_norm: 4.8847 loss: 3.3115 loss_cls: 2.1807 loss_bbox: 1.1308 +2024/10/30 21:29:41 - mmengine - INFO - Epoch(train) [118][2800/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:45:33 time: 0.4330 data_time: 0.0461 memory: 4652 grad_norm: 4.6963 loss: 3.2517 loss_cls: 2.1649 loss_bbox: 1.0868 +2024/10/30 21:30:01 - mmengine - INFO - Epoch(train) [118][2850/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:45:12 time: 0.4159 data_time: 0.0371 memory: 4652 grad_norm: 4.5995 loss: 3.2030 loss_cls: 2.1618 loss_bbox: 1.0412 +2024/10/30 21:30:26 - mmengine - INFO - Epoch(train) [118][2900/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:44:50 time: 0.5000 data_time: 0.1090 memory: 4652 grad_norm: 4.8227 loss: 3.1602 loss_cls: 2.1060 loss_bbox: 1.0542 +2024/10/30 21:30:47 - mmengine - INFO - Epoch(train) [118][2950/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:44:29 time: 0.4166 data_time: 0.0460 memory: 4652 grad_norm: 4.6206 loss: 3.2165 loss_cls: 2.1408 loss_bbox: 1.0757 +2024/10/30 21:31:09 - mmengine - INFO - Epoch(train) [118][3000/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:44:07 time: 0.4283 data_time: 0.0367 memory: 4652 grad_norm: 4.6115 loss: 3.2196 loss_cls: 2.1564 loss_bbox: 1.0632 +2024/10/30 21:31:30 - mmengine - INFO - Epoch(train) [118][3050/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:43:46 time: 0.4263 data_time: 0.0385 memory: 4652 grad_norm: 4.9651 loss: 3.1464 loss_cls: 2.1035 loss_bbox: 1.0429 +2024/10/30 21:31:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 21:31:32 - mmengine - INFO - Saving checkpoint at 118 epochs +2024/10/30 21:31:59 - mmengine - INFO - Epoch(train) [119][ 50/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:43:23 time: 0.4279 data_time: 0.0581 memory: 4652 grad_norm: 4.8607 loss: 3.1890 loss_cls: 2.1445 loss_bbox: 1.0445 +2024/10/30 21:32:20 - mmengine - INFO - Epoch(train) [119][ 100/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:43:01 time: 0.4259 data_time: 0.0421 memory: 4652 grad_norm: 4.7821 loss: 3.2025 loss_cls: 2.1359 loss_bbox: 1.0666 +2024/10/30 21:32:42 - mmengine - INFO - Epoch(train) [119][ 150/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:42:40 time: 0.4274 data_time: 0.0476 memory: 4652 grad_norm: 4.8442 loss: 3.2213 loss_cls: 2.1552 loss_bbox: 1.0660 +2024/10/30 21:33:03 - mmengine - INFO - Epoch(train) [119][ 200/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:42:18 time: 0.4240 data_time: 0.0433 memory: 4652 grad_norm: 4.4475 loss: 3.2672 loss_cls: 2.1797 loss_bbox: 1.0875 +2024/10/30 21:33:26 - mmengine - INFO - Epoch(train) [119][ 250/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:41:57 time: 0.4559 data_time: 0.0691 memory: 4652 grad_norm: 4.6333 loss: 3.2045 loss_cls: 2.1499 loss_bbox: 1.0546 +2024/10/30 21:33:48 - mmengine - INFO - Epoch(train) [119][ 300/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:41:35 time: 0.4342 data_time: 0.0448 memory: 4652 grad_norm: 4.5847 loss: 3.2371 loss_cls: 2.1438 loss_bbox: 1.0933 +2024/10/30 21:34:10 - mmengine - INFO - Epoch(train) [119][ 350/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:41:14 time: 0.4384 data_time: 0.0443 memory: 4652 grad_norm: 4.7795 loss: 3.1531 loss_cls: 2.1025 loss_bbox: 1.0506 +2024/10/30 21:34:32 - mmengine - INFO - Epoch(train) [119][ 400/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:40:52 time: 0.4414 data_time: 0.0510 memory: 4652 grad_norm: 4.9020 loss: 3.1479 loss_cls: 2.0933 loss_bbox: 1.0546 +2024/10/30 21:34:53 - mmengine - INFO - Epoch(train) [119][ 450/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:40:31 time: 0.4243 data_time: 0.0415 memory: 4652 grad_norm: 4.6724 loss: 3.1814 loss_cls: 2.1317 loss_bbox: 1.0497 +2024/10/30 21:35:14 - mmengine - INFO - Epoch(train) [119][ 500/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:40:09 time: 0.4292 data_time: 0.0392 memory: 4652 grad_norm: 4.7015 loss: 3.2136 loss_cls: 2.1350 loss_bbox: 1.0786 +2024/10/30 21:35:36 - mmengine - INFO - Epoch(train) [119][ 550/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:39:48 time: 0.4391 data_time: 0.0413 memory: 4652 grad_norm: 4.8354 loss: 3.1097 loss_cls: 2.0891 loss_bbox: 1.0206 +2024/10/30 21:35:58 - mmengine - INFO - Epoch(train) [119][ 600/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:39:26 time: 0.4269 data_time: 0.0402 memory: 4652 grad_norm: 4.5209 loss: 3.1304 loss_cls: 2.0971 loss_bbox: 1.0334 +2024/10/30 21:36:10 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 21:36:19 - mmengine - INFO - Epoch(train) [119][ 650/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:39:05 time: 0.4319 data_time: 0.0516 memory: 4652 grad_norm: 4.4681 loss: 3.3004 loss_cls: 2.1800 loss_bbox: 1.1204 +2024/10/30 21:36:42 - mmengine - INFO - Epoch(train) [119][ 700/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:38:43 time: 0.4432 data_time: 0.0389 memory: 4652 grad_norm: 4.7932 loss: 3.2814 loss_cls: 2.1622 loss_bbox: 1.1192 +2024/10/30 21:37:04 - mmengine - INFO - Epoch(train) [119][ 750/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:38:22 time: 0.4417 data_time: 0.0466 memory: 4652 grad_norm: 4.8568 loss: 3.2471 loss_cls: 2.1659 loss_bbox: 1.0812 +2024/10/30 21:37:26 - mmengine - INFO - Epoch(train) [119][ 800/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:38:00 time: 0.4411 data_time: 0.0562 memory: 4652 grad_norm: 4.8943 loss: 3.2423 loss_cls: 2.1650 loss_bbox: 1.0774 +2024/10/30 21:37:48 - mmengine - INFO - Epoch(train) [119][ 850/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:37:39 time: 0.4388 data_time: 0.0388 memory: 4652 grad_norm: 4.7539 loss: 3.0980 loss_cls: 2.0963 loss_bbox: 1.0017 +2024/10/30 21:38:09 - mmengine - INFO - Epoch(train) [119][ 900/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:37:18 time: 0.4204 data_time: 0.0410 memory: 4652 grad_norm: 4.6144 loss: 3.2521 loss_cls: 2.1543 loss_bbox: 1.0978 +2024/10/30 21:38:30 - mmengine - INFO - Epoch(train) [119][ 950/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:36:56 time: 0.4288 data_time: 0.0450 memory: 4652 grad_norm: 4.8316 loss: 3.0866 loss_cls: 2.0858 loss_bbox: 1.0008 +2024/10/30 21:38:52 - mmengine - INFO - Epoch(train) [119][1000/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:36:35 time: 0.4431 data_time: 0.0515 memory: 4652 grad_norm: 4.4562 loss: 3.2543 loss_cls: 2.1438 loss_bbox: 1.1105 +2024/10/30 21:39:14 - mmengine - INFO - Epoch(train) [119][1050/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:36:13 time: 0.4242 data_time: 0.0391 memory: 4652 grad_norm: 4.5027 loss: 3.2261 loss_cls: 2.1549 loss_bbox: 1.0712 +2024/10/30 21:39:35 - mmengine - INFO - Epoch(train) [119][1100/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:35:52 time: 0.4291 data_time: 0.0405 memory: 4652 grad_norm: 4.9514 loss: 3.2053 loss_cls: 2.1367 loss_bbox: 1.0686 +2024/10/30 21:39:56 - mmengine - INFO - Epoch(train) [119][1150/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:35:30 time: 0.4209 data_time: 0.0388 memory: 4652 grad_norm: 4.8075 loss: 3.2801 loss_cls: 2.1904 loss_bbox: 1.0897 +2024/10/30 21:40:18 - mmengine - INFO - Epoch(train) [119][1200/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:35:09 time: 0.4280 data_time: 0.0405 memory: 4652 grad_norm: 4.4963 loss: 3.1778 loss_cls: 2.1309 loss_bbox: 1.0469 +2024/10/30 21:40:40 - mmengine - INFO - Epoch(train) [119][1250/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:34:47 time: 0.4405 data_time: 0.0543 memory: 4652 grad_norm: 4.7883 loss: 3.1642 loss_cls: 2.1292 loss_bbox: 1.0349 +2024/10/30 21:41:02 - mmengine - INFO - Epoch(train) [119][1300/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:34:26 time: 0.4373 data_time: 0.0426 memory: 4652 grad_norm: 4.5297 loss: 3.1900 loss_cls: 2.1169 loss_bbox: 1.0731 +2024/10/30 21:41:26 - mmengine - INFO - Epoch(train) [119][1350/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:34:04 time: 0.4946 data_time: 0.1073 memory: 4652 grad_norm: 4.5088 loss: 3.2621 loss_cls: 2.1776 loss_bbox: 1.0845 +2024/10/30 21:41:48 - mmengine - INFO - Epoch(train) [119][1400/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:33:43 time: 0.4318 data_time: 0.0561 memory: 4652 grad_norm: 4.5985 loss: 3.1510 loss_cls: 2.1151 loss_bbox: 1.0359 +2024/10/30 21:42:10 - mmengine - INFO - Epoch(train) [119][1450/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:33:21 time: 0.4426 data_time: 0.0427 memory: 4652 grad_norm: 4.7865 loss: 3.2465 loss_cls: 2.1628 loss_bbox: 1.0837 +2024/10/30 21:42:32 - mmengine - INFO - Epoch(train) [119][1500/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:33:00 time: 0.4253 data_time: 0.0502 memory: 4652 grad_norm: 4.6590 loss: 3.1645 loss_cls: 2.1224 loss_bbox: 1.0421 +2024/10/30 21:42:54 - mmengine - INFO - Epoch(train) [119][1550/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:32:38 time: 0.4369 data_time: 0.0461 memory: 4652 grad_norm: 4.5825 loss: 3.1597 loss_cls: 2.1094 loss_bbox: 1.0503 +2024/10/30 21:43:15 - mmengine - INFO - Epoch(train) [119][1600/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:32:17 time: 0.4276 data_time: 0.0412 memory: 4652 grad_norm: 5.1034 loss: 3.1722 loss_cls: 2.1010 loss_bbox: 1.0711 +2024/10/30 21:43:27 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 21:43:36 - mmengine - INFO - Epoch(train) [119][1650/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:31:55 time: 0.4302 data_time: 0.0562 memory: 4652 grad_norm: 4.7473 loss: 3.1948 loss_cls: 2.1338 loss_bbox: 1.0610 +2024/10/30 21:43:58 - mmengine - INFO - Epoch(train) [119][1700/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:31:34 time: 0.4285 data_time: 0.0461 memory: 4652 grad_norm: 4.6717 loss: 3.1899 loss_cls: 2.1454 loss_bbox: 1.0445 +2024/10/30 21:44:19 - mmengine - INFO - Epoch(train) [119][1750/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:31:12 time: 0.4287 data_time: 0.0504 memory: 4652 grad_norm: 4.4263 loss: 3.2425 loss_cls: 2.1395 loss_bbox: 1.1030 +2024/10/30 21:44:41 - mmengine - INFO - Epoch(train) [119][1800/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:30:51 time: 0.4323 data_time: 0.0456 memory: 4652 grad_norm: 4.6264 loss: 3.1553 loss_cls: 2.1018 loss_bbox: 1.0536 +2024/10/30 21:45:03 - mmengine - INFO - Epoch(train) [119][1850/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:30:29 time: 0.4328 data_time: 0.0496 memory: 4652 grad_norm: 4.9497 loss: 3.2640 loss_cls: 2.1778 loss_bbox: 1.0862 +2024/10/30 21:45:27 - mmengine - INFO - Epoch(train) [119][1900/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:30:08 time: 0.4782 data_time: 0.0896 memory: 4652 grad_norm: 4.9381 loss: 3.1953 loss_cls: 2.1514 loss_bbox: 1.0440 +2024/10/30 21:45:48 - mmengine - INFO - Epoch(train) [119][1950/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:29:46 time: 0.4291 data_time: 0.0441 memory: 4652 grad_norm: 4.6387 loss: 3.2052 loss_cls: 2.1472 loss_bbox: 1.0579 +2024/10/30 21:46:10 - mmengine - INFO - Epoch(train) [119][2000/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:29:25 time: 0.4265 data_time: 0.0568 memory: 4652 grad_norm: 4.6830 loss: 3.2292 loss_cls: 2.1311 loss_bbox: 1.0981 +2024/10/30 21:46:31 - mmengine - INFO - Epoch(train) [119][2050/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:29:03 time: 0.4278 data_time: 0.0428 memory: 4652 grad_norm: 4.6226 loss: 3.3124 loss_cls: 2.1944 loss_bbox: 1.1180 +2024/10/30 21:46:53 - mmengine - INFO - Epoch(train) [119][2100/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:28:42 time: 0.4322 data_time: 0.0453 memory: 4652 grad_norm: 4.7205 loss: 3.1667 loss_cls: 2.1143 loss_bbox: 1.0524 +2024/10/30 21:47:15 - mmengine - INFO - Epoch(train) [119][2150/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:28:20 time: 0.4406 data_time: 0.0577 memory: 4652 grad_norm: 5.1404 loss: 3.1737 loss_cls: 2.1072 loss_bbox: 1.0664 +2024/10/30 21:47:36 - mmengine - INFO - Epoch(train) [119][2200/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:27:59 time: 0.4326 data_time: 0.0424 memory: 4652 grad_norm: 4.6635 loss: 3.1767 loss_cls: 2.1321 loss_bbox: 1.0445 +2024/10/30 21:47:58 - mmengine - INFO - Epoch(train) [119][2250/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:27:37 time: 0.4271 data_time: 0.0541 memory: 4652 grad_norm: 4.7434 loss: 3.2186 loss_cls: 2.1362 loss_bbox: 1.0825 +2024/10/30 21:48:19 - mmengine - INFO - Epoch(train) [119][2300/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:27:16 time: 0.4207 data_time: 0.0417 memory: 4652 grad_norm: 4.8077 loss: 3.2888 loss_cls: 2.1622 loss_bbox: 1.1266 +2024/10/30 21:48:40 - mmengine - INFO - Epoch(train) [119][2350/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:26:54 time: 0.4271 data_time: 0.0413 memory: 4652 grad_norm: 4.8050 loss: 3.1402 loss_cls: 2.1137 loss_bbox: 1.0265 +2024/10/30 21:49:01 - mmengine - INFO - Epoch(train) [119][2400/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:26:33 time: 0.4250 data_time: 0.0495 memory: 4652 grad_norm: 5.0120 loss: 3.2598 loss_cls: 2.1546 loss_bbox: 1.1052 +2024/10/30 21:49:26 - mmengine - INFO - Epoch(train) [119][2450/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:26:12 time: 0.4832 data_time: 0.0981 memory: 4652 grad_norm: 4.7164 loss: 3.1779 loss_cls: 2.1323 loss_bbox: 1.0456 +2024/10/30 21:49:46 - mmengine - INFO - Epoch(train) [119][2500/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:25:50 time: 0.4143 data_time: 0.0408 memory: 4652 grad_norm: 4.8167 loss: 3.1625 loss_cls: 2.0877 loss_bbox: 1.0748 +2024/10/30 21:50:07 - mmengine - INFO - Epoch(train) [119][2550/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:25:29 time: 0.4101 data_time: 0.0409 memory: 4652 grad_norm: 4.8590 loss: 3.2186 loss_cls: 2.1578 loss_bbox: 1.0607 +2024/10/30 21:50:29 - mmengine - INFO - Epoch(train) [119][2600/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:25:07 time: 0.4323 data_time: 0.0413 memory: 4652 grad_norm: 4.5900 loss: 3.2070 loss_cls: 2.1191 loss_bbox: 1.0879 +2024/10/30 21:50:40 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 21:50:50 - mmengine - INFO - Epoch(train) [119][2650/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:24:46 time: 0.4188 data_time: 0.0414 memory: 4652 grad_norm: 4.5761 loss: 3.3039 loss_cls: 2.1799 loss_bbox: 1.1240 +2024/10/30 21:51:11 - mmengine - INFO - Epoch(train) [119][2700/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:24:24 time: 0.4257 data_time: 0.0426 memory: 4652 grad_norm: 4.5313 loss: 3.2208 loss_cls: 2.1282 loss_bbox: 1.0926 +2024/10/30 21:51:32 - mmengine - INFO - Epoch(train) [119][2750/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:24:03 time: 0.4223 data_time: 0.0440 memory: 4652 grad_norm: 4.8318 loss: 3.2984 loss_cls: 2.1758 loss_bbox: 1.1227 +2024/10/30 21:51:52 - mmengine - INFO - Epoch(train) [119][2800/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:23:41 time: 0.4100 data_time: 0.0388 memory: 4652 grad_norm: 4.7966 loss: 3.1669 loss_cls: 2.1062 loss_bbox: 1.0607 +2024/10/30 21:52:14 - mmengine - INFO - Epoch(train) [119][2850/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:23:20 time: 0.4389 data_time: 0.0435 memory: 4652 grad_norm: 4.7652 loss: 3.2583 loss_cls: 2.1446 loss_bbox: 1.1137 +2024/10/30 21:52:35 - mmengine - INFO - Epoch(train) [119][2900/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:22:58 time: 0.4161 data_time: 0.0415 memory: 4652 grad_norm: 4.6932 loss: 3.1814 loss_cls: 2.1536 loss_bbox: 1.0278 +2024/10/30 21:52:57 - mmengine - INFO - Epoch(train) [119][2950/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:22:37 time: 0.4359 data_time: 0.0405 memory: 4652 grad_norm: 4.7680 loss: 3.2224 loss_cls: 2.1605 loss_bbox: 1.0619 +2024/10/30 21:53:18 - mmengine - INFO - Epoch(train) [119][3000/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:22:15 time: 0.4168 data_time: 0.0455 memory: 4652 grad_norm: 4.8157 loss: 3.1522 loss_cls: 2.1049 loss_bbox: 1.0473 +2024/10/30 21:53:39 - mmengine - INFO - Epoch(train) [119][3050/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:21:54 time: 0.4110 data_time: 0.0412 memory: 4652 grad_norm: 4.8000 loss: 3.1355 loss_cls: 2.0937 loss_bbox: 1.0418 +2024/10/30 21:53:40 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 21:53:40 - mmengine - INFO - Saving checkpoint at 119 epochs +2024/10/30 21:54:08 - mmengine - INFO - Epoch(train) [120][ 50/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:21:30 time: 0.4569 data_time: 0.0540 memory: 4652 grad_norm: 4.6672 loss: 3.1977 loss_cls: 2.1210 loss_bbox: 1.0766 +2024/10/30 21:54:29 - mmengine - INFO - Epoch(train) [120][ 100/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:21:09 time: 0.4200 data_time: 0.0424 memory: 4652 grad_norm: 4.3258 loss: 3.1244 loss_cls: 2.0942 loss_bbox: 1.0302 +2024/10/30 21:54:51 - mmengine - INFO - Epoch(train) [120][ 150/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:20:47 time: 0.4343 data_time: 0.0385 memory: 4652 grad_norm: 4.6055 loss: 3.2876 loss_cls: 2.1605 loss_bbox: 1.1270 +2024/10/30 21:55:13 - mmengine - INFO - Epoch(train) [120][ 200/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:20:26 time: 0.4362 data_time: 0.0408 memory: 4652 grad_norm: 4.6892 loss: 3.3137 loss_cls: 2.1845 loss_bbox: 1.1292 +2024/10/30 21:55:34 - mmengine - INFO - Epoch(train) [120][ 250/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:20:04 time: 0.4225 data_time: 0.0427 memory: 4652 grad_norm: 4.6024 loss: 3.1751 loss_cls: 2.1299 loss_bbox: 1.0452 +2024/10/30 21:55:56 - mmengine - INFO - Epoch(train) [120][ 300/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:19:43 time: 0.4416 data_time: 0.0544 memory: 4652 grad_norm: 4.6736 loss: 3.2443 loss_cls: 2.1557 loss_bbox: 1.0887 +2024/10/30 21:56:17 - mmengine - INFO - Epoch(train) [120][ 350/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:19:22 time: 0.4316 data_time: 0.0434 memory: 4652 grad_norm: 4.6858 loss: 3.2667 loss_cls: 2.1584 loss_bbox: 1.1082 +2024/10/30 21:56:39 - mmengine - INFO - Epoch(train) [120][ 400/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:19:00 time: 0.4344 data_time: 0.0453 memory: 4652 grad_norm: 4.6860 loss: 3.1254 loss_cls: 2.0804 loss_bbox: 1.0450 +2024/10/30 21:57:01 - mmengine - INFO - Epoch(train) [120][ 450/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:18:39 time: 0.4276 data_time: 0.0419 memory: 4652 grad_norm: 4.8840 loss: 3.1600 loss_cls: 2.1134 loss_bbox: 1.0466 +2024/10/30 21:57:22 - mmengine - INFO - Epoch(train) [120][ 500/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:18:17 time: 0.4280 data_time: 0.0402 memory: 4652 grad_norm: 4.8688 loss: 3.2125 loss_cls: 2.1432 loss_bbox: 1.0692 +2024/10/30 21:57:43 - mmengine - INFO - Epoch(train) [120][ 550/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:17:56 time: 0.4269 data_time: 0.0386 memory: 4652 grad_norm: 4.7973 loss: 3.2440 loss_cls: 2.1883 loss_bbox: 1.0557 +2024/10/30 21:57:54 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 21:58:05 - mmengine - INFO - Epoch(train) [120][ 600/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:17:34 time: 0.4240 data_time: 0.0402 memory: 4652 grad_norm: 4.8640 loss: 3.2074 loss_cls: 2.1235 loss_bbox: 1.0839 +2024/10/30 21:58:27 - mmengine - INFO - Epoch(train) [120][ 650/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:17:13 time: 0.4400 data_time: 0.0483 memory: 4652 grad_norm: 4.6366 loss: 3.3209 loss_cls: 2.1935 loss_bbox: 1.1273 +2024/10/30 21:58:48 - mmengine - INFO - Epoch(train) [120][ 700/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:16:51 time: 0.4366 data_time: 0.0417 memory: 4652 grad_norm: 4.8936 loss: 3.1779 loss_cls: 2.1119 loss_bbox: 1.0660 +2024/10/30 21:59:10 - mmengine - INFO - Epoch(train) [120][ 750/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:16:30 time: 0.4336 data_time: 0.0454 memory: 4652 grad_norm: 4.9060 loss: 3.1041 loss_cls: 2.0788 loss_bbox: 1.0253 +2024/10/30 21:59:32 - mmengine - INFO - Epoch(train) [120][ 800/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:16:08 time: 0.4427 data_time: 0.0428 memory: 4652 grad_norm: 4.5755 loss: 3.2373 loss_cls: 2.1575 loss_bbox: 1.0798 +2024/10/30 21:59:55 - mmengine - INFO - Epoch(train) [120][ 850/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:15:47 time: 0.4562 data_time: 0.0425 memory: 4652 grad_norm: 4.5442 loss: 3.2458 loss_cls: 2.1246 loss_bbox: 1.1212 +2024/10/30 22:00:17 - mmengine - INFO - Epoch(train) [120][ 900/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:15:25 time: 0.4435 data_time: 0.0405 memory: 4652 grad_norm: 4.5687 loss: 3.1554 loss_cls: 2.1060 loss_bbox: 1.0494 +2024/10/30 22:00:40 - mmengine - INFO - Epoch(train) [120][ 950/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:15:04 time: 0.4479 data_time: 0.0469 memory: 4652 grad_norm: 4.8867 loss: 3.2214 loss_cls: 2.1477 loss_bbox: 1.0737 +2024/10/30 22:01:02 - mmengine - INFO - Epoch(train) [120][1000/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:14:42 time: 0.4489 data_time: 0.0472 memory: 4652 grad_norm: 4.6200 loss: 3.2645 loss_cls: 2.1555 loss_bbox: 1.1090 +2024/10/30 22:01:27 - mmengine - INFO - Epoch(train) [120][1050/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:14:21 time: 0.4985 data_time: 0.0727 memory: 4652 grad_norm: 4.5906 loss: 3.1701 loss_cls: 2.1461 loss_bbox: 1.0240 +2024/10/30 22:01:49 - mmengine - INFO - Epoch(train) [120][1100/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:13:59 time: 0.4339 data_time: 0.0384 memory: 4652 grad_norm: 4.7595 loss: 3.1745 loss_cls: 2.1061 loss_bbox: 1.0684 +2024/10/30 22:02:12 - mmengine - INFO - Epoch(train) [120][1150/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:13:38 time: 0.4490 data_time: 0.0417 memory: 4652 grad_norm: 4.7236 loss: 3.1289 loss_cls: 2.1099 loss_bbox: 1.0190 +2024/10/30 22:02:33 - mmengine - INFO - Epoch(train) [120][1200/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:13:16 time: 0.4283 data_time: 0.0398 memory: 4652 grad_norm: 4.6090 loss: 3.1757 loss_cls: 2.1303 loss_bbox: 1.0454 +2024/10/30 22:02:55 - mmengine - INFO - Epoch(train) [120][1250/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:12:55 time: 0.4324 data_time: 0.0488 memory: 4652 grad_norm: 4.7070 loss: 3.2334 loss_cls: 2.1464 loss_bbox: 1.0871 +2024/10/30 22:03:17 - mmengine - INFO - Epoch(train) [120][1300/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:12:33 time: 0.4410 data_time: 0.0406 memory: 4652 grad_norm: 4.6471 loss: 3.2370 loss_cls: 2.1638 loss_bbox: 1.0732 +2024/10/30 22:03:38 - mmengine - INFO - Epoch(train) [120][1350/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:12:12 time: 0.4311 data_time: 0.0444 memory: 4652 grad_norm: 4.7662 loss: 3.2092 loss_cls: 2.1402 loss_bbox: 1.0689 +2024/10/30 22:04:00 - mmengine - INFO - Epoch(train) [120][1400/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:11:50 time: 0.4310 data_time: 0.0401 memory: 4652 grad_norm: 4.7483 loss: 3.2734 loss_cls: 2.1575 loss_bbox: 1.1159 +2024/10/30 22:04:21 - mmengine - INFO - Epoch(train) [120][1450/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:11:29 time: 0.4291 data_time: 0.0404 memory: 4652 grad_norm: 4.9705 loss: 3.1857 loss_cls: 2.1150 loss_bbox: 1.0707 +2024/10/30 22:04:43 - mmengine - INFO - Epoch(train) [120][1500/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:11:07 time: 0.4241 data_time: 0.0372 memory: 4652 grad_norm: 4.8213 loss: 3.2136 loss_cls: 2.1454 loss_bbox: 1.0682 +2024/10/30 22:05:06 - mmengine - INFO - Epoch(train) [120][1550/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:10:46 time: 0.4602 data_time: 0.0462 memory: 4652 grad_norm: 4.5834 loss: 3.2548 loss_cls: 2.1771 loss_bbox: 1.0777 +2024/10/30 22:05:16 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 22:05:28 - mmengine - INFO - Epoch(train) [120][1600/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:10:24 time: 0.4478 data_time: 0.0377 memory: 4652 grad_norm: 4.7486 loss: 3.2089 loss_cls: 2.1453 loss_bbox: 1.0636 +2024/10/30 22:05:50 - mmengine - INFO - Epoch(train) [120][1650/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:10:03 time: 0.4350 data_time: 0.0374 memory: 4652 grad_norm: 4.6906 loss: 3.1888 loss_cls: 2.1372 loss_bbox: 1.0516 +2024/10/30 22:06:12 - mmengine - INFO - Epoch(train) [120][1700/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:09:41 time: 0.4402 data_time: 0.0466 memory: 4652 grad_norm: 4.5264 loss: 3.1878 loss_cls: 2.1069 loss_bbox: 1.0809 +2024/10/30 22:06:34 - mmengine - INFO - Epoch(train) [120][1750/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:09:20 time: 0.4382 data_time: 0.0395 memory: 4652 grad_norm: 4.8494 loss: 3.2049 loss_cls: 2.1396 loss_bbox: 1.0653 +2024/10/30 22:06:56 - mmengine - INFO - Epoch(train) [120][1800/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:08:58 time: 0.4444 data_time: 0.0383 memory: 4652 grad_norm: 4.6308 loss: 3.2800 loss_cls: 2.1717 loss_bbox: 1.1083 +2024/10/30 22:07:19 - mmengine - INFO - Epoch(train) [120][1850/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:08:37 time: 0.4451 data_time: 0.0412 memory: 4652 grad_norm: 4.6915 loss: 3.2057 loss_cls: 2.1374 loss_bbox: 1.0683 +2024/10/30 22:07:40 - mmengine - INFO - Epoch(train) [120][1900/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:08:15 time: 0.4285 data_time: 0.0393 memory: 4652 grad_norm: 4.6585 loss: 3.1377 loss_cls: 2.1116 loss_bbox: 1.0261 +2024/10/30 22:08:02 - mmengine - INFO - Epoch(train) [120][1950/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:07:54 time: 0.4452 data_time: 0.0478 memory: 4652 grad_norm: 4.6239 loss: 3.2633 loss_cls: 2.1760 loss_bbox: 1.0873 +2024/10/30 22:08:26 - mmengine - INFO - Epoch(train) [120][2000/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:07:33 time: 0.4775 data_time: 0.0896 memory: 4652 grad_norm: 4.5502 loss: 3.1982 loss_cls: 2.1505 loss_bbox: 1.0477 +2024/10/30 22:08:48 - mmengine - INFO - Epoch(train) [120][2050/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:07:11 time: 0.4324 data_time: 0.0454 memory: 4652 grad_norm: 4.5644 loss: 3.2670 loss_cls: 2.1582 loss_bbox: 1.1088 +2024/10/30 22:09:09 - mmengine - INFO - Epoch(train) [120][2100/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:06:50 time: 0.4297 data_time: 0.0398 memory: 4652 grad_norm: 4.5530 loss: 3.1867 loss_cls: 2.1363 loss_bbox: 1.0503 +2024/10/30 22:09:31 - mmengine - INFO - Epoch(train) [120][2150/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:06:28 time: 0.4372 data_time: 0.0417 memory: 4652 grad_norm: 4.6574 loss: 3.2155 loss_cls: 2.1493 loss_bbox: 1.0662 +2024/10/30 22:09:52 - mmengine - INFO - Epoch(train) [120][2200/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:06:07 time: 0.4140 data_time: 0.0401 memory: 4652 grad_norm: 4.5717 loss: 3.1689 loss_cls: 2.1099 loss_bbox: 1.0590 +2024/10/30 22:10:15 - mmengine - INFO - Epoch(train) [120][2250/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:05:45 time: 0.4481 data_time: 0.0400 memory: 4652 grad_norm: 4.8455 loss: 3.2571 loss_cls: 2.1559 loss_bbox: 1.1012 +2024/10/30 22:10:36 - mmengine - INFO - Epoch(train) [120][2300/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:05:24 time: 0.4353 data_time: 0.0471 memory: 4652 grad_norm: 4.6846 loss: 3.2058 loss_cls: 2.1525 loss_bbox: 1.0533 +2024/10/30 22:10:58 - mmengine - INFO - Epoch(train) [120][2350/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:05:02 time: 0.4411 data_time: 0.0535 memory: 4652 grad_norm: 5.0474 loss: 3.2205 loss_cls: 2.1773 loss_bbox: 1.0432 +2024/10/30 22:11:20 - mmengine - INFO - Epoch(train) [120][2400/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:04:41 time: 0.4380 data_time: 0.0391 memory: 4652 grad_norm: 4.9249 loss: 3.1679 loss_cls: 2.1133 loss_bbox: 1.0545 +2024/10/30 22:11:43 - mmengine - INFO - Epoch(train) [120][2450/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:04:19 time: 0.4453 data_time: 0.0470 memory: 4652 grad_norm: 4.7288 loss: 3.1438 loss_cls: 2.1208 loss_bbox: 1.0230 +2024/10/30 22:12:04 - mmengine - INFO - Epoch(train) [120][2500/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:03:58 time: 0.4358 data_time: 0.0398 memory: 4652 grad_norm: 4.5237 loss: 3.2053 loss_cls: 2.1154 loss_bbox: 1.0900 +2024/10/30 22:12:27 - mmengine - INFO - Epoch(train) [120][2550/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:03:36 time: 0.4526 data_time: 0.0547 memory: 4652 grad_norm: 4.8574 loss: 3.2017 loss_cls: 2.1339 loss_bbox: 1.0678 +2024/10/30 22:12:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 22:12:49 - mmengine - INFO - Epoch(train) [120][2600/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:03:15 time: 0.4352 data_time: 0.0442 memory: 4652 grad_norm: 4.5789 loss: 3.3446 loss_cls: 2.2157 loss_bbox: 1.1290 +2024/10/30 22:13:12 - mmengine - INFO - Epoch(train) [120][2650/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:02:53 time: 0.4561 data_time: 0.0391 memory: 4652 grad_norm: 4.9282 loss: 3.2360 loss_cls: 2.1348 loss_bbox: 1.1012 +2024/10/30 22:13:33 - mmengine - INFO - Epoch(train) [120][2700/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:02:32 time: 0.4245 data_time: 0.0398 memory: 4652 grad_norm: 4.5042 loss: 3.2527 loss_cls: 2.1591 loss_bbox: 1.0936 +2024/10/30 22:13:55 - mmengine - INFO - Epoch(train) [120][2750/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:02:10 time: 0.4321 data_time: 0.0452 memory: 4652 grad_norm: 4.9417 loss: 3.2131 loss_cls: 2.1425 loss_bbox: 1.0706 +2024/10/30 22:14:16 - mmengine - INFO - Epoch(train) [120][2800/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:01:49 time: 0.4297 data_time: 0.0439 memory: 4652 grad_norm: 5.0274 loss: 3.2464 loss_cls: 2.1766 loss_bbox: 1.0699 +2024/10/30 22:14:37 - mmengine - INFO - Epoch(train) [120][2850/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:01:27 time: 0.4097 data_time: 0.0408 memory: 4652 grad_norm: 4.6980 loss: 3.1528 loss_cls: 2.1243 loss_bbox: 1.0285 +2024/10/30 22:14:58 - mmengine - INFO - Epoch(train) [120][2900/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:01:06 time: 0.4183 data_time: 0.0420 memory: 4652 grad_norm: 4.5756 loss: 3.2031 loss_cls: 2.1364 loss_bbox: 1.0667 +2024/10/30 22:15:18 - mmengine - INFO - Epoch(train) [120][2950/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:00:44 time: 0.4068 data_time: 0.0408 memory: 4652 grad_norm: 4.5059 loss: 3.1696 loss_cls: 2.1227 loss_bbox: 1.0469 +2024/10/30 22:15:39 - mmengine - INFO - Epoch(train) [120][3000/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:00:23 time: 0.4251 data_time: 0.0403 memory: 4652 grad_norm: 4.4924 loss: 3.2939 loss_cls: 2.1998 loss_bbox: 1.0940 +2024/10/30 22:16:00 - mmengine - INFO - Epoch(train) [120][3050/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:00:01 time: 0.4107 data_time: 0.0410 memory: 4652 grad_norm: 4.6508 loss: 3.1976 loss_cls: 2.1192 loss_bbox: 1.0784 +2024/10/30 22:16:02 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_512_coco_20241029_022029 +2024/10/30 22:16:02 - mmengine - INFO - Saving checkpoint at 120 epochs +2024/10/30 22:16:12 - mmengine - INFO - Epoch(val) [120][50/79] eta: 0:00:02 time: 0.0735 data_time: 0.0086 memory: 4652 +2024/10/30 22:16:31 - mmengine - INFO - Evaluating bbox... +2024/10/30 22:17:54 - mmengine - INFO - bbox_mAP_copypaste: 0.295 0.477 0.304 0.089 0.350 0.470 +2024/10/30 22:17:55 - mmengine - INFO - Epoch(val) [120][79/79] coco/bbox_mAP: 0.2950 coco/bbox_mAP_50: 0.4770 coco/bbox_mAP_75: 0.3040 coco/bbox_mAP_s: 0.0890 coco/bbox_mAP_m: 0.3500 coco/bbox_mAP_l: 0.4700 data_time: 0.0081 time: 0.0722