lora_7B.sh

MASTER_PORT=$(shuf -n 1 -i 10000-65535)
deepspeed --include localhost:0 --master_port $MASTER_PORT src/train_bash.py \
    --stage sft \
    --do_train True \
    --flash_attn \
    --template llama2 \
    --dataset alpaca_gpt4_zh  \
    --finetuning_type lora \
    --model_name_or_path /home/Llama-2-7b-hf \
    --lora_target q_proj,v_proj \
    --output_dir ./checkpoint_7b \
    --overwrite_output_dir \
    --per_device_train_batch_size 32 \
    --per_device_eval_batch_size 1 \
    --lr_scheduler_type cosine \
    --logging_steps 1 \
    --save_steps 1000 \
    --eval_steps 1000 \
    --learning_rate 5e-5 \
    --gradient_accumulation_steps 1 \
    --max_steps 3000 \
    --evaluation_strategy steps \
    --bf16 \
    --deepspeed bf16_deepspeed.json \