|
aws_output_bucket: s3://sagemaker-us-east-1-107457652907/experiments/llama2.13b.wudao.sft.combine.v1.0.seq2k.w16.adamw.NA100.0803.ds |
|
data_dir: null |
|
dist_load_data_barrier: false |
|
train_file: /tmp/data-train/panda-sft-combine/ |
|
dev_file: null |
|
test_file: null |
|
model: |
|
_target_: models.llama.LlamaForConditionalGeneration.from_pretrained |
|
use_peft: false |
|
gradient_checkpointing: true |
|
enable_flash_attention: true |
|
flash_attention_vanilla_torch: true |
|
read_tensor: |
|
_target_: data.collators.zh_instruct.TextDatasetCombineV2 |
|
extra_data: |
|
_target_: data.collators.zh_instruct.WuDaoCorpusDataset |
|
tokenizer: null |
|
file_path: /tmp/data-train/WuDaoCorpus2.0_base_200G/ |
|
file_num: 50 |
|
extended_vocab: null |
|
collator: |
|
_target_: data.collators.flan.CombineCollator |
|
max_seq_length: 2048 |
|
tokenizer: ${model_name_or_path} |
|
decoder_only: true |
|
padding: longest |
|
padding_side: right |
|
num_workers: 4 |
|
prefetch_factor: 2 |
|
do_preprocess: false |
|
model_name_or_path: /tmp/llama2.13b.vocab_ext_80k.v3.0.seq2k.w16.adamw.NA100.0728/checkpoint-2000 |
|
pretrain: null |
|
exp_name: llama2.13b.wudao.sft.combine.v1.0.seq2k.w16.adamw.NA100.0803.ds |
|
exp_notes: null |
|
output_dir: /tmp/${exp_name} |
|
resume: /tmp/checkpoint-500 |
|
do_train: true |
|
evaluate_during_training: false |
|
do_eval: false |
|
eval_sub_path: checkpoint-* |
|
per_gpu_train_batch_size: 2 |
|
per_gpu_eval_batch_size: 1 |
|
learning_rate: 1.0e-05 |
|
gradient_accumulation_steps: 64 |
|
weight_decay: 0.01 |
|
adam_epsilon: 1.0e-06 |
|
adam_betas: (0.9, 0.99) |
|
max_grad_norm: 1.0 |
|
num_train_epochs: 1 |
|
total_dataset_len: 10000000 |
|
max_steps: 0 |
|
warmup_proportion: 0 |
|
warmup_steps: 0 |
|
optimizer: null |
|
use_nvlamb: null |
|
bit_training: null |
|
logging_steps: 1 |
|
save_best: false |
|
save_steps: 250 |
|
eval_steps: 250 |
|
ddp_eval: true |
|
no_cuda: false |
|
seed: 42 |
|
local_rank: 0 |
|
fp16: true |
|
fp16_opt_level: O1 |
|
fp16_bfloat16: true |
|
prediction_cfg: |
|
metric: acc |
|
measure: 1 |
|
best_checkpoint: null |
|
best_result: null |
|
eval_forward_fn: |
|
_target_: general_util.evaluator.DiscriminatorForwardFn |
|
post_process: null |
|
fairscale_config: |
|
_target_: general_util.fsdp_utils.default_initialize |
|
fp16: ${fp16} |
|
move_grads_to_cpu: false |
|
move_params_to_cpu: false |
|
flatten_parameters: false |
|
with_lightseq: false |
|
load_lr_scheduler_states: false |
|
ds_cfg: |
|
train_micro_batch_size_per_gpu: ${per_gpu_train_batch_size} |
|
gradient_accumulation_steps: ${gradient_accumulation_steps} |
|
optimizer: |
|
type: AdamW |
|
params: |
|
lr: ${learning_rate} |
|
betas: |
|
- 0.9 |
|
- 0.96 |
|
eps: ${adam_epsilon} |
|
weight_decay: ${weight_decay} |
|
scheduler: |
|
type: WarmupDecayLR |
|
params: |
|
total_num_steps: 4882 |
|
warmup_max_lr: ${learning_rate} |
|
warmup_num_steps: 0 |
|
warmup_type: linear |
|
gradient_clipping: ${max_grad_norm} |
|
bf16: |
|
enabled: ${fp16} |
|
zero_optimization: |
|
stage: 1 |
|
contiguous_gradients: true |
|
overlap_comm: true |
|
reduce_scatter: true |
|
reduce_bucket_size: 500000000.0 |
|
allgather_bucket_size: 500000000.0 |
|
offload_optimizer: |
|
device: cpu |
|
pin_memory: true |
|
steps_per_print: 1 |
|
summary_helper: |
|
_target_: general_util.tensorboard_helper.WandbWriter |
|
batch_index_or_keys: null |
|
outputs_index_or_keys: null |
|
n_gpu: 1 |
|
device: cuda:0 |
|
train_batch_size: 2 |
|
eval_batch_size: null |
|
world_size: 16 |
|
world_rank: null |
|
|