






from collections import OrderedDict
from typing import Mapping

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


__snake_case												=  logging.get_logger(__name__)

__snake_case												=  {
    """andreasmadsen/efficient_mlm_m0.40""": (
        """https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"""
    ),
}







class 			UpperCAmelCase_						(					lowercase_ ):



      """simple docstring"""
      UpperCamelCase_				:					List[str]           ='roberta-prelayernorm'
      def __init__(				self    ,				SCREAMING_SNAKE_CASE_=5_0265    ,				SCREAMING_SNAKE_CASE_=768    ,				SCREAMING_SNAKE_CASE_=12    ,				SCREAMING_SNAKE_CASE_=12    ,				SCREAMING_SNAKE_CASE_=3072    ,				SCREAMING_SNAKE_CASE_="gelu"    ,				SCREAMING_SNAKE_CASE_=0.1    ,				SCREAMING_SNAKE_CASE_=0.1    ,				SCREAMING_SNAKE_CASE_=512    ,				SCREAMING_SNAKE_CASE_=2    ,				SCREAMING_SNAKE_CASE_=0.02    ,				SCREAMING_SNAKE_CASE_=1e-12    ,				SCREAMING_SNAKE_CASE_=1    ,				SCREAMING_SNAKE_CASE_=0    ,				SCREAMING_SNAKE_CASE_=2    ,				SCREAMING_SNAKE_CASE_="absolute"    ,				SCREAMING_SNAKE_CASE_=True    ,				SCREAMING_SNAKE_CASE_=None    ,				**SCREAMING_SNAKE_CASE_    ,				)				->      List[Any]:
          super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_    ,				bos_token_id=SCREAMING_SNAKE_CASE_    ,				eos_token_id=SCREAMING_SNAKE_CASE_    ,				**SCREAMING_SNAKE_CASE_ )

          UpperCamelCase       :int								=   vocab_size
          UpperCamelCase       :Union[str, Any]								=   hidden_size
          UpperCamelCase       :int								=   num_hidden_layers
          UpperCamelCase       :List[Any]								=   num_attention_heads
          UpperCamelCase       :Optional[int]								=   hidden_act
          UpperCamelCase       :Optional[Any]								=   intermediate_size
          UpperCamelCase       :int								=   hidden_dropout_prob
          UpperCamelCase       :Any								=   attention_probs_dropout_prob
          UpperCamelCase       :Optional[int]								=   max_position_embeddings
          UpperCamelCase       :Union[str, Any]								=   type_vocab_size
          UpperCamelCase       :List[str]								=   initializer_range
          UpperCamelCase       :Any								=   layer_norm_eps
          UpperCamelCase       :List[str]								=   position_embedding_type
          UpperCamelCase       :List[Any]								=   use_cache
          UpperCamelCase       :List[Any]								=   classifier_dropout







class 			UpperCAmelCase_						(					lowercase_ ):



      """simple docstring"""
      @property
      def     UpperCAmelCase						(				self )				->      int:
          if self.task == "multiple-choice":
              UpperCamelCase       :Optional[Any]								=   {0: 'batch', 1: 'choice', 2: 'sequence'}
          else:
              UpperCamelCase       :Dict								=   {0: 'batch', 1: 'sequence'}
          return OrderedDict(
              [
                  ('''input_ids''', dynamic_axis),
                  ('''attention_mask''', dynamic_axis),
              ] )










"""simple docstring"""







from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate







@dataclass(frozen=lowercase_  )
class       UpperCamelCase__   (	lowercase_  ):




      """simple docstring"""




      _SCREAMING_SNAKE_CASE  				=     field(default="""summarization""",					metadata={"""include_in_asdict_even_if_is_default""": True}  )
      _SCREAMING_SNAKE_CASE  				=     Features({"""text""": Value("""string"""  )}  )
      _SCREAMING_SNAKE_CASE  				=     Features({"""summary""": Value("""string"""  )}  )
      _SCREAMING_SNAKE_CASE  				=     "text"
      _SCREAMING_SNAKE_CASE  				=     "summary"



      @property
      def      SCREAMING_SNAKE_CASE__ (      self				:      Dict       ):
        return {self.text_column: "text", self.summary_column: "summary"}





