fix docstring

pytorch_pretrained_bert/modeling.py

@@ -985,7 +985,7 @@ class BertForTokenClassification(PreTrainedBertModel):
             selected in [0, 1]. It's a mask to be used if the input sequence length is smaller than the max
             input sequence length in the current batch. It's the mask that we typically use for attention when
             a batch has varying length sentences.
-        `labels`: labels for the classification output: torch.LongTensor of shape [batch_size]
+        `labels`: labels for the classification output: torch.LongTensor of shape [batch_size, sequence_length]
             with indices selected in [0, ..., num_labels].
 
     Outputs: