removed debugging

modeling_bert.py

@@ -501,9 +501,6 @@ class BertForPreTraining(BertPreTrainedModel):
                 )
         prediction_scores, seq_relationship_score = self.cls(sequence_output, pooled_output)
 
-        print(labels.flatten()[masked_token_idx])
-        assert False
-
         if (
             self.dense_seq_output and labels is not None
         ):  # prediction_scores are already flattened