





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_UpperCAmelCase        =				logging.get_logger(__name__)

_UpperCAmelCase        =				{
    'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/config.json',
    'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/config.json',
    'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/config.json',
    'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/config.json',
    'roberta-base-openai-detector': 'https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json',
    'roberta-large-openai-detector': 'https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json',
}



class 							_UpperCamelCase					(	lowerCAmelCase_     ):
							_UpperCamelCase				:					str         =   '''roberta'''

							def __init__(		self: Tuple					,   _SCREAMING_SNAKE_CASE: Any=50265					,   _SCREAMING_SNAKE_CASE: Optional[int]=768					,   _SCREAMING_SNAKE_CASE: Optional[Any]=12					,   _SCREAMING_SNAKE_CASE: List[str]=12					,   _SCREAMING_SNAKE_CASE: Any=3072					,   _SCREAMING_SNAKE_CASE: Optional[Any]="gelu"					,   _SCREAMING_SNAKE_CASE: Any=0.1					,   _SCREAMING_SNAKE_CASE: int=0.1					,   _SCREAMING_SNAKE_CASE: List[str]=512					,   _SCREAMING_SNAKE_CASE: Optional[Any]=2					,   _SCREAMING_SNAKE_CASE: List[Any]=0.02					,   _SCREAMING_SNAKE_CASE: Optional[Any]=1e-12					,   _SCREAMING_SNAKE_CASE: Union[str, Any]=1					,   _SCREAMING_SNAKE_CASE: List[str]=0					,   _SCREAMING_SNAKE_CASE: str=2					,   _SCREAMING_SNAKE_CASE: Any="absolute"					,   _SCREAMING_SNAKE_CASE: Union[str, Any]=True					,   _SCREAMING_SNAKE_CASE: Any=None					,   **_SCREAMING_SNAKE_CASE: int					,   )       -> Optional[Any]:




														"""simple docstring"""


														super().__init__(pad_token_id=_SCREAMING_SNAKE_CASE					,   bos_token_id=_SCREAMING_SNAKE_CASE					,   eos_token_id=_SCREAMING_SNAKE_CASE					,   **_SCREAMING_SNAKE_CASE		)

														UpperCamelCase_          =  vocab_size
														UpperCamelCase_          =  hidden_size
														UpperCamelCase_          =  num_hidden_layers
														UpperCamelCase_          =  num_attention_heads
														UpperCamelCase_          =  hidden_act
														UpperCamelCase_          =  intermediate_size
														UpperCamelCase_          =  hidden_dropout_prob
														UpperCamelCase_          =  attention_probs_dropout_prob
														UpperCamelCase_          =  max_position_embeddings
														UpperCamelCase_          =  type_vocab_size
														UpperCamelCase_          =  initializer_range
														UpperCamelCase_          =  layer_norm_eps
														UpperCamelCase_          =  position_embedding_type
														UpperCamelCase_          =  use_cache
														UpperCamelCase_          =  classifier_dropout



class 							_UpperCamelCase					(	lowerCAmelCase_     ):

							@property
							def lowercase (		self: List[str]		)       -> Mapping[str, Mapping[int, str]]:




														"""simple docstring"""


														if self.task == "multiple-choice":
																					UpperCamelCase_          =  {0: "batch", 1: "choice", 2: "sequence"}
														else:
																					UpperCamelCase_          =  {0: "batch", 1: "sequence"}
														return OrderedDict(
														    [
														        ("input_ids", dynamic_axis),
														        ("attention_mask", dynamic_axis),
														    ]		)








_UpperCAmelCase        =				{
    'Pillow': 'Pillow',
    'accelerate': 'accelerate>=0.11.0',
    'compel': 'compel==0.1.8',
    'black': 'black~=23.1',
    'datasets': 'datasets',
    'filelock': 'filelock',
    'flax': 'flax>=0.4.1',
    'hf-doc-builder': 'hf-doc-builder>=0.3.0',
    'huggingface-hub': 'huggingface-hub>=0.13.2',
    'requests-mock': 'requests-mock==1.10.0',
    'importlib_metadata': 'importlib_metadata',
    'invisible-watermark': 'invisible-watermark',
    'isort': 'isort>=5.5.4',
    'jax': 'jax>=0.2.8,!=0.3.2',
    'jaxlib': 'jaxlib>=0.1.65',
    'Jinja2': 'Jinja2',
    'k-diffusion': 'k-diffusion>=0.0.12',
    'torchsde': 'torchsde',
    'note_seq': 'note_seq',
    'librosa': 'librosa',
    'numpy': 'numpy',
    'omegaconf': 'omegaconf',
    'parameterized': 'parameterized',
    'protobuf': 'protobuf>=3.20.3,<4',
    'pytest': 'pytest',
    'pytest-timeout': 'pytest-timeout',
    'pytest-xdist': 'pytest-xdist',
    'ruff': 'ruff>=0.0.241',
    'safetensors': 'safetensors',
    'sentencepiece': 'sentencepiece>=0.1.91,!=0.1.92',
    'scipy': 'scipy',
    'onnx': 'onnx',
    'regex': 'regex!=2019.12.17',
    'requests': 'requests',
    'tensorboard': 'tensorboard',
    'torch': 'torch>=1.4',
    'torchvision': 'torchvision',
    'transformers': 'transformers>=4.25.1',
    'urllib3': 'urllib3<=2.0.0',
}

