Create README.md

README.md

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+# Description
+
+Trained on top of llava-13b-v1: https://huggingface.co/wza/llava-13b-v1 (github: https://github.com/haotian-liu/LLaVA)
+
+# Dataset
+
+Constructed dataset on stock k lines, both pre-train and instrcution-tune
+
+# Training scripts
+
+pre-train:
+```
+torchrun --nnodes=1 --nproc_per_node=8 --master_port=25001 \
+    LLaVA/llava/train/train_mem.py \
+    --model_name_or_path llava-13b-v1 \
+    --data_path JsonFormatDataset/PretrainData/data.json \
+    --image_folder JsonFormatDataset/PretrainData/images \
+    --vision_tower openai/clip-vit-large-patch14 \
+    --tune_mm_mlp_adapter True \
+    --mm_vision_select_layer -2 \
+    --mm_use_im_start_end \
+    --bf16 True \
+    --output_dir ./checkpoints/llava-13b-pretrain \
+    --num_train_epochs 1 \
+    --per_device_train_batch_size 8 \
+    --per_device_eval_batch_size 4 \
+    --gradient_accumulation_steps 2 \
+    --evaluation_strategy "no" \
+    --save_strategy "steps" \
+    --save_steps 2400 \
+    --save_total_limit 1 \
+    --learning_rate 2e-3 \
+    --weight_decay 0. \
+    --warmup_ratio 0.03 \
+    --lr_scheduler_type "cosine" \
+    --logging_steps 1 \
+    --tf32 True \
+    --model_max_length 2048 \
+    --gradient_checkpointing True \
+    --lazy_preprocess True \
+    --report_to wandb
+```
+
+instruction:
+```
+torchrun --nnodes=1 --nproc_per_node=8 --master_port=25001 \
+    LLaVA/llava/train/train_mem.py \
+    --model_name_or_path ./checkpoints/llava-13b-pretrain \
+    --data_path JsonFormatDataset/InstructionTuneData/data.json \
+    --image_folder JsonFormatDataset/InstructionTuneData/images/ \
+    --vision_tower openai/clip-vit-large-patch14 \
+    --mm_vision_select_layer -2 \
+    --mm_use_im_start_end \
+    --bf16 True \
+    --output_dir ./checkpoints/llava-13b-instruction \
+    --num_train_epochs 3 \
+    --per_device_train_batch_size 4 \
+    --per_device_eval_batch_size 4 \
+    --gradient_accumulation_steps 1 \
+    --evaluation_strategy "no" \
+    --save_strategy "steps" \
+    --save_steps 5000 \
+    --save_total_limit 3 \
+    --learning_rate 2e-5 \
+    --weight_decay 0. \
+    --warmup_ratio 0.03 \
+    --lr_scheduler_type "cosine" \
+    --logging_steps 1 \
+    --tf32 True \
+    --fsdp "full_shard auto_wrap" \
+    --fsdp_transformer_layer_cls_to_wrap 'LlamaDecoderLayer' \
+    --model_max_length 2048 \
+    --gradient_checkpointing True \
+    --lazy_preprocess True \
+    --report_to wandb
+
+```
+
+# Training settings
+
+8xA100-80G-sxm4
+
+Pre-train: https://wandb.ai/wzaa/huggingface/runs/cd5ou876/overview?workspace=user-wangziao1993
+
+Fine-tune: https://wandb.ai/wzaa/huggingface/runs/y5bsz8dw/overview?workspace=user-wangziao1993