single_node.sh

#!/bin/bash

export HIP_VISIBLE_DEVICES=6
python src/train.py \
        --stage sft --do_train \
        --model_name_or_path /home/practice/deepseek-math-7b-base <Your Path>\ 
        --dataset alpaca_en_demo  --template deepseek --finetuning_type lora --lora_target q_proj,v_proj \
        --output_dir saves/deepseek/lora/sft \
        --overwrite_cache --per_device_train_batch_size 2 --gradient_accumulation_steps 32 --lr_scheduler_type cosine  \
        --logging_steps 10 --save_steps 1000 --learning_rate 1e-4 --num_train_epochs 3.0 --plot_loss --fp16