diff --git a/README.md b/README.md
index 04ac019..92f3b9d 100644
--- a/README.md
+++ b/README.md
@@ -232,7 +232,7 @@ unzip sft_images.zip && rm sft_images.zip
 
 ```bash
 # 基础训练命令（从LLM权重开始，仅训练vision_proj）
-python trainer/train_pretrain_vlm.py --epochs 4 --from_weight llm
+python train_pretrain_vlm.py --epochs 4 --from_weight llm
 ```
 
 > 执行预训练，得到 `pretrain_vlm_*.pth` 作为预训练的输出权重（其中*为模型的dimension，默认为512）
@@ -242,7 +242,7 @@ python trainer/train_pretrain_vlm.py --epochs 4 --from_weight llm
 
 ```bash
 # 基础训练命令（从预训练权重开始，全参数微调）
-python trainer/train_sft_vlm.py --epochs 2 --from_weight pretrain_vlm
+python train_sft_vlm.py --epochs 2 --from_weight pretrain_vlm
 ```
 
 > 执行监督微调，得到 `sft_vlm_*.pth` 作为指令微调的输出权重
@@ -258,7 +258,7 @@ python trainer/train_sft_vlm.py --epochs 2 --from_weight pretrain_vlm
 
 ```bash
 # 训练中断后，使用相同命令并添加 --from_resume 1
-python trainer/train_sft_vlm.py --epochs 4 --from_resume 1
+python train_sft_vlm.py --epochs 4 --from_resume 1
 ```
 
 **参数说明：**
diff --git a/README_en.md b/README_en.md
index 8154afa..f9a468a 100644
--- a/README_en.md
+++ b/README_en.md
@@ -240,7 +240,7 @@ Please reserve about 5GB of space for the dataset. If there is insufficient spac
 
 ```bash
 # Basic training command (start from LLM weights, train vision_proj only)
-python trainer/train_pretrain_vlm.py --epochs 4 --from_weight llm
+python train_pretrain_vlm.py --epochs 4 --from_weight llm
 ```
 
 > Run pretraining to get `pretrain_vlm_*.pth` as the pretrained model's output weights (* represents the model
@@ -250,7 +250,7 @@ python trainer/train_pretrain_vlm.py --epochs 4 --from_weight llm
 
 ```bash
 # Basic training command (start from pretrain weights, full parameter fine-tuning)
-python trainer/train_sft_vlm.py --epochs 2 --from_weight pretrain_vlm
+python train_sft_vlm.py --epochs 2 --from_weight pretrain_vlm
 ```
 
 > Perform supervised fine-tuning to get `sft_vlm_*.pth` as the output weights for the fine-tuned model.
@@ -266,7 +266,7 @@ python trainer/train_sft_vlm.py --epochs 2 --from_weight pretrain_vlm
 
 ```bash
 # To resume training after interruption, use the same command and add --from_resume 1
-python trainer/train_sft_vlm.py --epochs 4 --from_resume 1
+python train_sft_vlm.py --epochs 4 --from_resume 1
 ```
 
 **Parameter Description:**