Fix special token doc (#4292)

src/transformers/tokenization_albert.py

@@ -274,7 +274,7 @@ class AlbertTokenizer(PreTrainedTokenizer):
                 Set to True if the token list is already formatted with special tokens for the model
 
         Returns:
-            :obj:`List[int]`: A list of integers in the range [0, 1]: 0 for a special token, 1 for a sequence token.
+            :obj:`List[int]`: A list of integers in the range [0, 1]: 1 for a special token, 0 for a sequence token.
         """
 
         if already_has_special_tokens:

src/transformers/tokenization_bert.py

@@ -269,7 +269,7 @@ class BertTokenizer(PreTrainedTokenizer):
                 Set to True if the token list is already formatted with special tokens for the model
 
         Returns:
-            :obj:`List[int]`: A list of integers in the range [0, 1]: 0 for a special token, 1 for a sequence token.
+            :obj:`List[int]`: A list of integers in the range [0, 1]: 1 for a special token, 0 for a sequence token.
         """
 
         if already_has_special_tokens:

src/transformers/tokenization_camembert.py

@@ -182,7 +182,7 @@ class CamembertTokenizer(PreTrainedTokenizer):
                 Set to True if the token list is already formatted with special tokens for the model
 
         Returns:
-            :obj:`List[int]`: A list of integers in the range [0, 1]: 0 for a special token, 1 for a sequence token.
+            :obj:`List[int]`: A list of integers in the range [0, 1]: 1 for a special token, 0 for a sequence token.
         """
         if already_has_special_tokens:
             if token_ids_1 is not None:

src/transformers/tokenization_roberta.py

@@ -193,7 +193,7 @@ class RobertaTokenizer(GPT2Tokenizer):
                 Set to True if the token list is already formatted with special tokens for the model
 
         Returns:
-            :obj:`List[int]`: A list of integers in the range [0, 1]: 0 for a special token, 1 for a sequence token.
+            :obj:`List[int]`: A list of integers in the range [0, 1]: 1 for a special token, 0 for a sequence token.
         """
         if already_has_special_tokens:
             if token_ids_1 is not None:

src/transformers/tokenization_xlm.py

@@ -893,7 +893,7 @@ class XLMTokenizer(PreTrainedTokenizer):
                 Set to True if the token list is already formatted with special tokens for the model
 
         Returns:
-            :obj:`List[int]`: A list of integers in the range [0, 1]: 0 for a special token, 1 for a sequence token.
+            :obj:`List[int]`: A list of integers in the range [0, 1]: 1 for a special token, 0 for a sequence token.
         """
 
         if already_has_special_tokens:

src/transformers/tokenization_xlm_roberta.py

@@ -217,7 +217,7 @@ class XLMRobertaTokenizer(PreTrainedTokenizer):
                 Set to True if the token list is already formatted with special tokens for the model
 
         Returns:
-            :obj:`List[int]`: A list of integers in the range [0, 1]: 0 for a special token, 1 for a sequence token.
+            :obj:`List[int]`: A list of integers in the range [0, 1]: 1 for a special token, 0 for a sequence token.
         """
 
         if already_has_special_tokens:

src/transformers/tokenization_xlnet.py

@@ -278,7 +278,7 @@ class XLNetTokenizer(PreTrainedTokenizer):
                 Set to True if the token list is already formatted with special tokens for the model
 
         Returns:
-            :obj:`List[int]`: A list of integers in the range [0, 1]: 0 for a special token, 1 for a sequence token.
+            :obj:`List[int]`: A list of integers in the range [0, 1]: 1 for a special token, 0 for a sequence token.
         """
 
         if already_has_special_tokens: