Fixing related to issue #83.

examples/run_classifier.py

@@ -423,6 +423,12 @@ def main():
         "mrpc": MrpcProcessor,
     }
 
+    num_labels_task = {
+        "cola": 2,
+        "mnli": 3,
+        "mrpc": 2,
+    }
+
     if args.local_rank == -1 or args.no_cuda:
         device = torch.device("cuda" if torch.cuda.is_available() and not args.no_cuda else "cpu")
         n_gpu = torch.cuda.device_count()
@@ -461,6 +467,7 @@ def main():
         raise ValueError("Task not found: %s" % (task_name))
 
     processor = processors[task_name]()
+    num_labels = num_labels_task[task_name]
     label_list = processor.get_labels()
 
     tokenizer = BertTokenizer.from_pretrained(args.bert_model, do_lower_case=args.do_lower_case)
@@ -474,7 +481,8 @@ def main():
 
     # Prepare model
     model = BertForSequenceClassification.from_pretrained(args.bert_model,
-                cache_dir=PYTORCH_PRETRAINED_BERT_CACHE / 'distributed_{}'.format(args.local_rank))
+              cache_dir=PYTORCH_PRETRAINED_BERT_CACHE / 'distributed_{}'.format(args.local_rank),
+              num_labels = num_labels)
     if args.fp16:
         model.half()
     model.to(device)