fix typo in input for masked lm loss function

Author: tholor

pytorch_pretrained_bert/modeling.py

@@ -678,7 +678,7 @@ def forward(self, input_ids, token_type_ids=None, attention_mask=None, masked_lm
 
         if masked_lm_labels is not None and next_sentence_label is not None:
             loss_fct = CrossEntropyLoss(ignore_index=-1)
-            masked_lm_loss = loss_fct(prediction_scores.view(-1, self.config.vocab_size), masked_lm_labels(-1))
+            masked_lm_loss = loss_fct(prediction_scores.view(-1, self.config.vocab_size), masked_lm_labels.view(-1))
             next_sentence_loss = loss_fct(seq_relationship_score.view(-1, 2), next_sentence_label.view(-1))
             total_loss = masked_lm_loss + next_sentence_loss
             return total_loss