diff --git a/doc/doc_ch/angle_class.md b/doc/doc_ch/angle_class.md
index d6a36b86b476f15b7b34f67e888ceb781b2ed7a0..857ca514f94ce10886e9ba38092ed97d330a64bc 100644
--- a/doc/doc_ch/angle_class.md
+++ b/doc/doc_ch/angle_class.md
@@ -62,9 +62,9 @@ PaddleOCR提供了训练脚本、评估脚本和预测脚本。
 *如果您安装的是cpu版本，请将配置文件中的 `use_gpu` 字段修改为false*
 
 ```
-# GPU训练 支持单卡，多卡训练，通过selected_gpus指定卡号
+# GPU训练 支持单卡，多卡训练，通过 gpus 指定卡号
 # 启动训练，下面的命令已经写入train.sh文件中，只需修改文件里的配置文件路径即可
-python3 -m paddle.distributed.launch --selected_gpus '0,1,2,3,4,5,6,7'  tools/train.py -c configs/cls/cls_mv3.yml
+python3 -m paddle.distributed.launch --gpus '0,1,2,3,4,5,6,7'  tools/train.py -c configs/cls/cls_mv3.yml
 ```
 
 - 数据增强
@@ -74,7 +74,7 @@ PaddleOCR提供了多种数据增强方式，如果您希望在训练时加入
 默认的扰动方式有：颜色空间转换(cvtColor)、模糊(blur)、抖动(jitter)、噪声(Gasuss noise)、随机切割(random crop)、透视(perspective)、颜色反转(reverse),随机数据增强(RandAugment)。
 
 训练过程中除随机数据增强外每种扰动方式以50%的概率被选择，具体代码实现请参考：
-[rec_img_aug.py](../../ppocr/data/imaug/rec_img_aug.py) 
+[rec_img_aug.py](../../ppocr/data/imaug/rec_img_aug.py)
 [randaugment.py](../../ppocr/data/imaug/randaugment.py)
 
 *由于OpenCV的兼容性问题，扰动操作暂时只支持linux*
diff --git a/doc/doc_en/angle_class_en.md b/doc/doc_en/angle_class_en.md
index defdff3ccbbad9d0201305529073bdc80abd5d29..8bc261af43cee982d82d73f39afedad5d52fbe4f 100644
--- a/doc/doc_en/angle_class_en.md
+++ b/doc/doc_en/angle_class_en.md
@@ -65,9 +65,9 @@ Start training:
 ```
 # Set PYTHONPATH path
 export PYTHONPATH=$PYTHONPATH:.
-# GPU training Support single card and multi-card training, specify the card number through selected_gpus
+# GPU training Support single card and multi-card training, specify the card number through gpus
 # Start training, the following command has been written into the train.sh file, just modify the configuration file path in the file
-python3 -m paddle.distributed.launch --selected_gpus '0,1,2,3,4,5,6,7'  tools/train.py -c configs/cls/cls_mv3.yml
+python3 -m paddle.distributed.launch --gpus '0,1,2,3,4,5,6,7'  tools/train.py -c configs/cls/cls_mv3.yml
 ```
 
 - Data Augmentation
@@ -77,7 +77,7 @@ PaddleOCR provides a variety of data augmentation methods. If you want to add di
 The default perturbation methods are: cvtColor, blur, jitter, Gasuss noise, random crop, perspective, color reverse, RandAugment.
 
 Except for RandAugment, each disturbance method is selected with a 50% probability during the training process. For specific code implementation, please refer to:
-[rec_img_aug.py](../../ppocr/data/imaug/rec_img_aug.py) 
+[rec_img_aug.py](../../ppocr/data/imaug/rec_img_aug.py)
 [randaugment.py](../../ppocr/data/imaug/randaugment.py)