diff --git a/.DS_Store b/.DS_Store
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diff --git a/scripts/1-pretrain.sh b/scripts/1-pretrain.sh
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+#!/bin/bash
+
+# 环境变量配置
+export MASTER_PORT=29500      # 设置通信端口
+export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7  # 设置使用的 GPU
+
+# 训练配置参数
+NUM_GPUS=8
+EPOCHS=3
+OUT_DIR="/home/jovyan/zlcode/minimind/out_dir"
+LOG_DIR="/home/jovyan/zlcode/minimind/log"
+LOG_FILE="${LOG_DIR}/pretrain.log"
+Batch_size=128
+# 创建输出目录和日志目录（如果不存在）
+mkdir -p "$OUT_DIR"
+mkdir -p "$LOG_DIR
+
+# 设置训练参数的选项
+TRAINING_OPTIONS="--use_wandb \
+                  --ddp \
+                  --epochs=$EPOCHS \
+                  --batch_size=${Batch_size} \
+                  --out_dir=$OUT_DIR"
+
+# 设置torchrun分布式训练参数
+DISTRIBUTED_OPTIONS="--nproc_per_node=$NUM_GPUS \
+                     --nnodes=1 \
+                     --rdzv_id=123 \
+                     --rdzv_backend=c10d"
+
+# 使用 nohup 启动训练任务，并且重定向输出
+nohup torchrun $DISTRIBUTED_OPTIONS 1-pretrain.py $TRAINING_OPTIONS \
+    2>&1 | tee "$LOG_FILE" &
+
diff --git a/scripts/2-full_sft.sh b/scripts/2-full_sft.sh
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+nohup torchrun \
+    --nproc_per_node 8 \
+    3-full_sft.py \
+    --use_wandb \
+    --ddp \
+    --epochs 3 \
+    --out_dir /home/jovyan/zlcode/minimind/out_dir/sft \
+    2>&1 > /home/jovyan/zlcode/minimind/log/full_sft.log &
diff --git a/scripts/3-lora.sh b/scripts/3-lora.sh
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+++ b/scripts/3-lora.sh
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+#!/bin/bash
+
+# LoRA fine-tuning script
+# Run with distributed training and save logs
+
+nohup torchrun \
+  --nproc_per_node=8 \
+  4-lora_sft.py \
+  --use_wandb \
+  --epochs 3 \
+  --out_dir /home/jovyan/zlcode/minimind/out_dir \
+  2>&1 > /home/jovyan/zlcode/minimind/log/lora_sft.log &
+  
diff --git a/scripts/4-dpo b/scripts/4-dpo
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index 0000000..e69de29