diff --git a/fastNLP/models/snli.py b/fastNLP/models/snli.py
index 5816d2af..901f2dd4 100644
--- a/fastNLP/models/snli.py
+++ b/fastNLP/models/snli.py
@@ -110,5 +110,5 @@ class ESIM(BaseModel):
 
     def predict(self, words1, words2, seq_len1, seq_len2):
         prediction = self.forward(words1, words2, seq_len1, seq_len2)['pred']
-        return torch.argmax(prediction, dim=-1)
+        return {'pred': torch.argmax(prediction, dim=-1)}
 
diff --git a/test/test_tutorials.py b/test/test_tutorials.py
index bc0b5d2b..600699a3 100644
--- a/test/test_tutorials.py
+++ b/test/test_tutorials.py
@@ -379,6 +379,14 @@ class TestTutorial(unittest.TestCase):
         dev_data_2.apply(lambda x: [vocab_bert.to_index(word) for word in x['hypothesis']], new_field_name='hypothesis')
         train_data_2[-1], dev_data_2[-1]
 
+        for data in [train_data, dev_data, test_data]:
+            data.rename_field('premise', 'words1')
+            data.rename_field('hypothesis', 'words2')
+            data.rename_field('premise_len', 'seq_len1')
+            data.rename_field('hypothesis_len', 'seq_len2')
+            data.set_input('words1', 'words2', 'seq_len1', 'seq_len2')
+
+
         # step 1：加载模型参数（非必选）
         from fastNLP.io.config_io import ConfigSection, ConfigLoader
         args = ConfigSection()