# CUDA_VISIBLE_DEVICES=2 python src/train_sft.py \
#     --do_train \
#     --dataset paper_data_v3_prompt \
#     --dataset_dir /home/majiahui/projert/ChatGLM-Efficient-Tuning/data \
#     --finetuning_type freeze \
#     --max_source_length 700 \
#     --max_target_length 1400 \
#     --output_dir path_to_sft_checkpoint_paper_prompt_freeze \
#     --per_device_train_batch_size 1 \
#     --lr_scheduler_type cosine \
#     --logging_steps 10 \
#     --save_steps 2000 \
#     --learning_rate 1e-4 \
#     --num_train_epochs 5.0 \
#     --fp16