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finetune/single_node.sh

+#!/bin/bash
+
+
+
+export HIP_VISIBLE_DEVICES=6
+python src/train.py \
+        --stage sft --do_train \
+        --model_name_or_path /home/practice/internlm2-math-7b \
+        --dataset alpaca_en_demo  --template intern2 --finetuning_type lora --lora_target q_proj,v_proj \
+        --output_dir saves/intern2/lora/sft \
+        --overwrite_output_dir \
+        --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