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name: megatron_gpt_1.3b
restore_from_path: null # used when starting from a .nemo file
trainer:
devices: 8
num_nodes: 1
accelerator: gpu
precision: bf16
logger: False # logger provided by exp_manager
enable_checkpointing: False
replace_sampler_ddp: False
max_epochs: -1 # PTL default. In practice, max_steps will be reached first.
max_steps: 200 # consumed_samples = global_step * micro_batch_size * data_parallel_size * accumulate_grad_batches
log_every_n_steps: 1
val_check_interval: 20
# check_val_every_n_epoch: null
limit_val_batches: 2
limit_test_batches: 0
accumulate_grad_batches: 1 # do not modify, grad acc is automatic for training megatron models
gradient_clip_val: 1.0
benchmark: False
exp_manager:
# set this to save checkpoints
explicit_log_dir: ppo_sentiments_logs
exp_dir: null
name: megatron_gpt_1.3b_ppo_sentiments
create_tensorboard_logger: False
create_wandb_logger: False
wandb_logger_kwargs:
project: trlxnemo
name: megatron_gpt_1.3b_ppo_sentiments
resume_if_exists: False
resume_ignore_no_checkpoint: True
# set this to save checkpoints
create_checkpoint_callback: False
checkpoint_callback_params:
monitor: reduced_train_loss
save_top_k: 1
mode: min
always_save_nemo: False # saves nemo file during validation, not implemented for model parallel
save_nemo_on_train_end: True # not recommended when training large models on clusters with short time limits
filename: 'megatron_gpt-{reduced_train_loss:.2f}-{step}-{consumed_samples}'
model_parallel_size: ${multiply:${model.tensor_model_parallel_size}, ${model.pipeline_model_parallel_size}}
log_step_timing: True
step_timing_kwargs:
sync_cuda: True
buffer_size: 5
model:
global_batch_size: 256
micro_batch_size: 32
tensor_model_parallel_size: 1
pipeline_model_parallel_size: 1
encoder_seq_length: 2048
max_position_embeddings: 2048
num_layers: 24
hidden_size: 2048
ffn_hidden_size: 3072
num_attention_heads: 16
init_method_std: 0.015
hidden_dropout: 0.0
attention_dropout: 0.0
ffn_dropout: 0.0
kv_channels: null
apply_query_key_layer_scaling: true
layernorm_epsilon: 1.0e-05
make_vocab_size_divisible_by: 128
pre_process: true
post_process: true
tokenizer:
library: megatron
type: GPT2BPETokenizer
model: null
vocab_file: /artifacts/vocab.json
merge_file: /artifacts/merges.txt
native_amp_init_scale: 4294967296
native_amp_growth_interval: 1000
fp32_residual_connection: false
fp16_lm_cross_entropy: false
megatron_amp_O2: True
sync_batch_comm: False
seed: 1234
use_cpu_initialization: false
onnx_safe: false
activations_checkpoint_method: null
activations_checkpoint_granularity: null
activations_checkpoint_num_layers: null
gradient_as_bucket_view: True
resume_from_checkpoint: null
sequence_parallel: True
data:
data_prefix:
- 0.0333
- /preproc_data/my-gpt3_00_text_document
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- /preproc_data/my-gpt3_01_text_document
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data_impl: mmap
splits_string: 99990,8,2
seq_length: 2048
skip_warmup: true
num_workers: 0
dataloader_type: single
reset_position_ids: false
reset_attention_mask: false
eod_mask_loss: True
optim:
name: distributed_fused_adam
lr: 6e-05
weight_decay: 1e-06
betas:
- 0.9
- 0.95
sched:
name: CosineAnnealing
warmup_steps: 0
constant_steps: 100000000
min_lr: 5e-05
precision: bf16
vocab_file: nemo:c4aec99015da48ba8cbcba41b48feb2c_vocab.json
merges_file: nemo:50284f68eefe440e850c4fb42c4d13e7_merges.txt
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