[docstring] Fix docstring for LukeConfig (#26858)

* Deleted LukeConfig and ran check_docstrings.py

* Filled docstring information

---------
Co-authored-by: louie <louisparizeau@Chicken.local>

src/transformers/models/luke/configuration_luke.py

@@ -38,7 +38,7 @@ class LukeConfig(PretrainedConfig):
 
 
     Args:
-        vocab_size (`int`, *optional*, defaults to 30522):
+        vocab_size (`int`, *optional*, defaults to 50267):
             Vocabulary size of the LUKE model. Defines the number of different tokens that can be represented by the
             `inputs_ids` passed when calling [`LukeModel`].
         entity_vocab_size (`int`, *optional*, defaults to 500000):
@@ -70,12 +70,18 @@ class LukeConfig(PretrainedConfig):
             The standard deviation of the truncated_normal_initializer for initializing all weight matrices.
         layer_norm_eps (`float`, *optional*, defaults to 1e-12):
             The epsilon used by the layer normalization layers.
-        use_entity_aware_attention (`bool`, defaults to `True`):
+        use_entity_aware_attention (`bool`, *optional*, defaults to `True`):
             Whether or not the model should use the entity-aware self-attention mechanism proposed in [LUKE: Deep
             Contextualized Entity Representations with Entity-aware Self-attention (Yamada et
             al.)](https://arxiv.org/abs/2010.01057).
         classifier_dropout (`float`, *optional*):
             The dropout ratio for the classification head.
+        pad_token_id (`int`, *optional*, defaults to 1):
+            Padding token id.
+        bos_token_id (`int`, *optional*, defaults to 0):
+            Beginning of stream token id.
+        eos_token_id (`int`, *optional*, defaults to 2):
+            End of stream token id.
 
     Examples:
 

utils/check_docstrings.py

@@ -356,7 +356,6 @@ OBJECTS_TO_IGNORE = [
     "LongformerConfig",
     "LongformerModel",
     "LongformerTokenizerFast",
-    "LukeConfig",
     "LukeModel",
     "LukeTokenizer",
     "LxmertTokenizerFast",