update doc

doc/doc_ch/config.md

@@ -46,7 +46,7 @@
 ### Optimizer ([ppocr/optimizer](../../ppocr/optimizer))
 
 |         字段             |      用途       |      默认值      |            备注             |
-| :---------------------: |  :---------------------:   | :--------------:  |   :--------------------:   |
+| :---------------------: |:-------------:|:-------------:|   :--------------------:   |
 |      name        |     优化器类名     |     Adam      |  目前支持`Momentum`,`Adam`,`RMSProp`, 见[ppocr/optimizer/optimizer.py](../../ppocr/optimizer/optimizer.py)  |
 |      beta1           | 设置一阶矩估计的指数衰减率 |      0.9      |               \             |
 |      beta2           | 设置二阶矩估计的指数衰减率 |     0.999     |               \             |
@@ -56,7 +56,7 @@
 |        learning_rate      |     基础学习率     |     0.001     |  \        |
 |      **regularizer**      |   设置网络正则化方式   |       -       | \        |
 |        name      |     正则化类名     |      L2       | 目前支持`L1`,`L2`, 见[ppocr/optimizer/regularizer.py](../../ppocr/optimizer/regularizer.py)        |
-|        factor      |    学习率衰减系数       |       0.00004     |  \        |
+|        factor      |     正则化系数     |       0.00001        |  \        |
 
 
 ### Architecture ([ppocr/modeling](../../ppocr/modeling))

doc/doc_en/config_en.md

@@ -56,7 +56,7 @@ Take rec_chinese_lite_train_v2.0.yml as an example
 |        learning_rate      |    Set the base learning rate        |       0.001      |  \        |
 |      **regularizer**      |  Set network regularization method        |       -      | \        |
 |        name      |    Regularizer class name      |       L2     |  Currently support`L1`,`L2`, see[ppocr/optimizer/regularizer.py](../../ppocr/optimizer/regularizer.py)        |
-|        factor      |    Learning rate decay coefficient       |       0.00004     |  \        |
+|        factor      |    Regularizer coefficient       |       0.00001     |  \        |
 
 
 ### Architecture ([ppocr/modeling](../../ppocr/modeling))