intermediate_size > hidden_dim in distilbert config docstrings

src/transformers/configuration_distilbert.py

@@ -60,7 +60,7 @@ class DistilBertConfig(PretrainedConfig):
                 Number of attention heads for each attention layer in the Transformer encoder.
             dim (:obj:`int`, optional, defaults to 768):
                 Dimensionality of the encoder layers and the pooler layer.
-            intermediate_size (:obj:`int`, optional, defaults to 3072):
+            hidden_dim (:obj:`int`, optional, defaults to 3072):
                 The size of the "intermediate" (i.e., feed-forward) layer in the Transformer encoder.
             dropout (:obj:`float`, optional, defaults to 0.1):
                 The dropout probabilitiy for all fully connected layers in the embeddings, encoder, and pooler.