wehub-resource-sync
27 lines
902 B
Bash
27 lines
902 B
Bash
torchrun --nproc_per_node=8 --master_port=20001 fastchat/train/train_mem.py \
|
|
--model_name_or_path ~/model_weights/llama-13b \
|
|
--data_path ~/datasets/sharegpt_20230422_clean_lang_split_identity.json \
|
|
--bf16 True \
|
|
--output_dir output_vicuna_13b \
|
|
--num_train_epochs 3 \
|
|
--per_device_train_batch_size 4 \
|
|
--per_device_eval_batch_size 32 \
|
|
--gradient_accumulation_steps 4 \
|
|
--evaluation_strategy "steps" \
|
|
--eval_steps 1500 \
|
|
--save_strategy "steps" \
|
|
--save_steps 1500 \
|
|
--save_total_limit 8 \
|
|
--learning_rate 2e-5 \
|
|
--weight_decay 0. \
|
|
--warmup_ratio 0.04 \
|
|
--lr_scheduler_type "cosine" \
|
|
--logging_steps 1 \
|
|
--fsdp "full_shard auto_wrap offload" \
|
|
--fsdp_transformer_layer_cls_to_wrap 'LlamaDecoderLayer' \
|
|
--tf32 True \
|
|
--model_max_length 2048 \
|
|
--gradient_checkpointing True \
|
|
--lazy_preprocess True
|
|
|