

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase           =					logging.get_logger(__name__)

lowerCamelCase           =					{
    '''uw-madison/mra-base-512-4''': '''https://huggingface.co/uw-madison/mra-base-512-4/resolve/main/config.json''',
}







class 						__magic_name__			(							lowerCamelCase__							):

   '''simple docstring'''




   lowerCamelCase__ :	str    =   'mra'



   def __init__(				self,    lowercase_=50265,    lowercase_=768,    lowercase_=12,    lowercase_=12,    lowercase_=3072,    lowercase_="gelu",    lowercase_=0.1,    lowercase_=0.1,    lowercase_=512,    lowercase_=1,    lowercase_=0.02,    lowercase_=1E-5,    lowercase_="absolute",    lowercase_=4,    lowercase_="full",    lowercase_=0,    lowercase_=0,    lowercase_=1,    lowercase_=0,    lowercase_=2,    **lowercase_,    )							->    str:






     """simple docstring"""






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

     a__  =vocab_size
     a__  =max_position_embeddings
     a__  =hidden_size
     a__  =num_hidden_layers
     a__  =num_attention_heads
     a__  =intermediate_size
     a__  =hidden_act
     a__  =hidden_dropout_prob
     a__  =attention_probs_dropout_prob
     a__  =initializer_range
     a__  =type_vocab_size
     a__  =layer_norm_eps
     a__  =position_embedding_type
     a__  =block_per_row
     a__  =approx_mode
     a__  =initial_prior_first_n_blocks
     a__  =initial_prior_diagonal_n_blocks



from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
    LineByLineTextDataset,
    LineByLineWithRefDataset,
    LineByLineWithSOPTextDataset,
    TextDataset,
    TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments
