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#23388 Issue: Update RoBERTa configuration (#23863)
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vijethmoudgalya authored May 30, 2023
1 parent 6fc0454 commit 58022e4
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Showing 2 changed files with 4 additions and 4 deletions.
4 changes: 2 additions & 2 deletions src/transformers/models/roberta/configuration_roberta.py
Original file line number Diff line number Diff line change
Expand Up @@ -46,7 +46,7 @@ class RobertaConfig(PretrainedConfig):
Args:
vocab_size (`int`, *optional*, defaults to 30522):
vocab_size (`int`, *optional*, defaults to 50265):
Vocabulary size of the RoBERTa model. Defines the number of different tokens that can be represented by the
`inputs_ids` passed when calling [`RobertaModel`] or [`TFRobertaModel`].
hidden_size (`int`, *optional*, defaults to 768):
Expand Down Expand Up @@ -105,7 +105,7 @@ class RobertaConfig(PretrainedConfig):

def __init__(
self,
vocab_size=30522,
vocab_size=50265,
hidden_size=768,
num_hidden_layers=12,
num_attention_heads=12,
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Original file line number Diff line number Diff line change
Expand Up @@ -45,7 +45,7 @@ class RobertaPreLayerNormConfig(PretrainedConfig):
Args:
vocab_size (`int`, *optional*, defaults to 30522):
vocab_size (`int`, *optional*, defaults to 50265):
Vocabulary size of the RoBERTa-PreLayerNorm model. Defines the number of different tokens that can be
represented by the `inputs_ids` passed when calling [`RobertaPreLayerNormModel`] or
[`TFRobertaPreLayerNormModel`].
Expand Down Expand Up @@ -106,7 +106,7 @@ class RobertaPreLayerNormConfig(PretrainedConfig):

def __init__(
self,
vocab_size=30522,
vocab_size=50265,
hidden_size=768,
num_hidden_layers=12,
num_attention_heads=12,
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