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[docstring] Fix docstring for 'BertGenerationConfig' (#26661)

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* [docstring] Remove 'BertGenerationConfig' from OBJECTS_TO_IGNORE

* [docstring] Fix docstring for 'BertGenerationConfig' (#26638)
This commit is contained in:
Adwait
2023-10-12 20:31:13 +05:30
committed by GitHub
parent b4199c2dad
commit 33df09e71a
2 changed files with 7 additions and 4 deletions
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10
src/transformers/models/bert_generation/configuration_bert_generation.py
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@@ -38,7 +38,7 @@ class BertGenerationConfig(PretrainedConfig):
Number of hidden layers in the Transformer encoder.
num_attention_heads (`int`, *optional*, defaults to 16):
Number of attention heads for each attention layer in the Transformer encoder.
intermediate_size (`int`, *optional*, defaults to 3072):
intermediate_size (`int`, *optional*, defaults to 4096):
Dimensionality of the "intermediate" (often called feed-forward) layer in the Transformer encoder.
hidden_act (`str` or `function`, *optional*, defaults to `"gelu"`):
The non-linear activation function (function or string) in the encoder and pooler. If string, `"gelu"`,
@@ -54,14 +54,18 @@ class BertGenerationConfig(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.
pad_token_id (`int`, *optional*, defaults to 0):
Padding token id.
bos_token_id (`int`, *optional*, defaults to 2):
Beginning of stream token id.
eos_token_id (`int`, *optional*, defaults to 1):
End of stream token id.
position_embedding_type (`str`, *optional*, defaults to `"absolute"`):
Type of position embedding. Choose one of `"absolute"`, `"relative_key"`, `"relative_key_query"`. For
positional embeddings use `"absolute"`. For more information on `"relative_key"`, please refer to
[Self-Attention with Relative Position Representations (Shaw et al.)](https://arxiv.org/abs/1803.02155).
For more information on `"relative_key_query"`, please refer to *Method 4* in [Improve Transformer Models
with Better Relative Position Embeddings (Huang et al.)](https://arxiv.org/abs/2009.13658).
is_decoder (`bool`, *optional*, defaults to `False`):
Whether the model is used as a decoder or not. If `False`, the model is used as an encoder.
use_cache (`bool`, *optional*, defaults to `True`):
Whether or not the model should return the last key/values attentions (not used by all models). Only
relevant if `config.is_decoder=True`.

1
utils/check_docstrings.py
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@@ -94,7 +94,6 @@ OBJECTS_TO_IGNORE = [
"BarthezTokenizerFast",
"BeitModel",
"BertConfig",
"BertGenerationConfig",
"BertGenerationTokenizer",
"BertJapaneseTokenizer",
"BertModel",