chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,24 @@
|
||||
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 torchrun --nproc_per_node=8 --master_port=20003 fastchat/train/train_mem.py \
|
||||
--model_name_or_path lmsys/vicuna-7b-v1.5 \
|
||||
--data_path data/layout_planner_data_5k.json \
|
||||
--bf16 True \
|
||||
--output_dir experiment_result \
|
||||
--num_train_epochs 6 \
|
||||
--per_device_train_batch_size 2 \
|
||||
--per_device_eval_batch_size 2 \
|
||||
--gradient_accumulation_steps 16 \
|
||||
--evaluation_strategy "no" \
|
||||
--save_strategy "steps" \
|
||||
--save_steps 500 \
|
||||
--save_total_limit 5 \
|
||||
--learning_rate 2e-5 \
|
||||
--weight_decay 0. \
|
||||
--warmup_ratio 0.03 \
|
||||
--lr_scheduler_type "cosine" \
|
||||
--logging_steps 1 \
|
||||
--fsdp "full_shard auto_wrap" \
|
||||
--fsdp_transformer_layer_cls_to_wrap 'LlamaDecoderLayer' \
|
||||
--tf32 True \
|
||||
--model_max_length 2048 \
|
||||
--gradient_checkpointing True \
|
||||
--lazy_preprocess True
|
||||
Reference in New Issue
Block a user