| 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 | |