diff --git a/modules/text/language_model/chinese_bert_wwm_ext/module.py b/modules/text/language_model/chinese_bert_wwm_ext/module.py
index cc8fe2f9d1476c470da85c2ae5423bad765a880e..2c351b830f0b971c618cfabed93ce751c9afbc04 100644
--- a/modules/text/language_model/chinese_bert_wwm_ext/module.py
+++ b/modules/text/language_model/chinese_bert_wwm_ext/module.py
@@ -71,7 +71,7 @@ class BertWwm(nn.Layer):
             self.model = BertForTokenClassification.from_pretrained(
                 pretrained_model_name_or_path='bert-wwm-ext-chinese', num_classes=self.num_classes, **kwargs)
             self.criterion = paddle.nn.loss.CrossEntropyLoss()
-            self.metric = ChunkEvaluator(label_list=[self.label_map[i] for i in sorted(self.label_map.keys())], suffix)
+            self.metric = ChunkEvaluator(label_list=[self.label_map[i] for i in sorted(self.label_map.keys())], suffix=suffix)
         elif task == 'text-matching':
             self.model = BertModel.from_pretrained(pretrained_model_name_or_path='bert-wwm-ext-chinese', **kwargs)
             self.dropout = paddle.nn.Dropout(0.1)
diff --git a/modules/text/language_model/chinese_electra_base/README.md b/modules/text/language_model/chinese_electra_base/README.md
index 7827bf32f7a46c5c399f0a9603e6c684cc881718..1778ebe67101c38fc7ee9c659e0a5b93f501f0ca 100644
--- a/modules/text/language_model/chinese_electra_base/README.md
+++ b/modules/text/language_model/chinese_electra_base/README.md
@@ -15,8 +15,8 @@ def __init__(
         load_checkpoint=None,
         label_map=None,
         num_classes=2,
-    suffix=False,
-    **kwargs,
+        suffix=False,
+        **kwargs,
 )
 ```