diff --git a/README.md b/README.md
index 28c1422..b71c6f3 100644
--- a/README.md
+++ b/README.md
@@ -120,7 +120,7 @@ LawGPT 系列模型的训练过程分为两个阶段:
### 二次训练流程
1. 参考 `data/example_instruction_train.json` 构造指令微调数据集
-2. 运行 `src/scripts/train.sh`
+2. 运行 `src/scripts/train_lora.sh`
### 指令精调步骤
@@ -135,9 +135,21 @@ LawGPT 系列模型的训练过程分为两个阶段:
### 输出示例
-问题:欠了信用卡的钱还不上要坐牢吗?
+问题:请给出判决意见。
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+问题:请介绍赌博罪的定义。
+
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+问题:请问加班工资怎么算?
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@@ -147,12 +159,19 @@ LawGPT 系列模型的训练过程分为两个阶段:
-问题:你能否写一段抢劫罪罪名的案情描述?
+问题:欠了信用卡的钱还不上要坐牢吗?
-
+
+问题:你能否写一段抢劫罪罪名的案情描述?
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### 局限性
由于计算资源、数据规模等因素限制,当前阶段 LawGPT 存在诸多局限性:
diff --git a/assets/demo/example-03.jpg b/assets/demo/example-03.jpeg
similarity index 100%
rename from assets/demo/example-03.jpg
rename to assets/demo/example-03.jpeg
diff --git a/assets/demo/example-04.jpeg b/assets/demo/example-04.jpeg
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diff --git a/assets/demo/example-05.jpeg b/assets/demo/example-05.jpeg
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diff --git a/assets/demo/example-06.jpeg b/assets/demo/example-06.jpeg
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diff --git a/src/scripts/train.sh b/src/scripts/train.sh
index 3826276..56532a2 100644
--- a/src/scripts/train.sh
+++ b/src/scripts/train.sh
@@ -1,6 +1,6 @@
#!/bin/bash
-WORLD_SIZE=8 CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 torchrun --nproc_per_node=8 --master_port=1235 train.py \
+WORLD_SIZE=8 CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 torchrun --nproc_per_node=8 --master_port=1235 train_lora.py \
--base_model '../models/base_models/chinese_llama_7b' \
--data_path '' \
--output_dir '../models/lora_weights' \
diff --git a/src/train.py b/src/train_lora.py
similarity index 100%
rename from src/train.py
rename to src/train_lora.py