




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


UpperCAmelCase_		:					Tuple          =  logging.get_logger(__name__)

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




class 		__A   (      UpperCamelCase__      ):
						UpperCamelCase      =       """mra"""

						def __init__(		self :Tuple     ,			__snake_case :int=5_02_65     ,			__snake_case :Optional[int]=7_68     ,			__snake_case :Union[str, Any]=12     ,			__snake_case :List[Any]=12     ,			__snake_case :int=30_72     ,			__snake_case :str="gelu"     ,			__snake_case :str=0.1     ,			__snake_case :Optional[int]=0.1     ,			__snake_case :Union[str, Any]=5_12     ,			__snake_case :Any=1     ,			__snake_case :Tuple=0.02     ,			__snake_case :Dict=1E-5     ,			__snake_case :int="absolute"     ,			__snake_case :Any=4     ,			__snake_case :Tuple="full"     ,			__snake_case :int=0     ,			__snake_case :str=0     ,			__snake_case :str=1     ,			__snake_case :str=0     ,			__snake_case :Tuple=2     ,			**__snake_case :List[Any]     ,			):
										'''simple docstring'''

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

										__magic_name__						:						Optional[Any]										=vocab_size
										__magic_name__						:						List[Any]										=max_position_embeddings
										__magic_name__						:						str										=hidden_size
										__magic_name__						:						List[str]										=num_hidden_layers
										__magic_name__						:						int										=num_attention_heads
										__magic_name__						:						str										=intermediate_size
										__magic_name__						:						str										=hidden_act
										__magic_name__						:						Dict										=hidden_dropout_prob
										__magic_name__						:						List[Any]										=attention_probs_dropout_prob
										__magic_name__						:						Any										=initializer_range
										__magic_name__						:						Optional[int]										=type_vocab_size
										__magic_name__						:						Tuple										=layer_norm_eps
										__magic_name__						:						List[str]										=position_embedding_type
										__magic_name__						:						List[str]										=block_per_row
										__magic_name__						:						Tuple										=approx_mode
										__magic_name__						:						Optional[int]										=initial_prior_first_n_blocks
										__magic_name__						:						List[str]										=initial_prior_diagonal_n_blocks







"""simple docstring"""




import logging
from dataclasses import dataclass, field
from typing import Optional

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


A_				:      Optional[Any]           =			logging.getLogger(__name__)





@dataclass
class  lowerCamelCase    (A__      ):
			lowerCamelCase__ :		Optional[float]       		=				field(
			    default=0.0      ,metadata={'help': 'The label smoothing epsilon to apply (if not zero).'}      )
			lowerCamelCase__ :		bool       		=				field(default=A__      ,metadata={'help': 'Whether to SortishSamler or not.'}      )
			lowerCamelCase__ :		bool       		=				field(
			    default=A__      ,metadata={'help': 'Whether to use generate to calculate generative metrics (ROUGE, BLEU).'}      )
			lowerCamelCase__ :		bool       		=				field(default=A__      ,metadata={'help': 'whether to use adafactor'}      )
			lowerCamelCase__ :		Optional[float]       		=				field(
			    default=A__      ,metadata={'help': 'Encoder layer dropout probability. Goes into model.config.'}      )
			lowerCamelCase__ :		Optional[float]       		=				field(
			    default=A__      ,metadata={'help': 'Decoder layer dropout probability. Goes into model.config.'}      )
			lowerCamelCase__ :		Optional[float]       		=				field(default=A__      ,metadata={'help': 'Dropout probability. Goes into model.config.'}      )
			lowerCamelCase__ :		Optional[float]       		=				field(
			    default=A__      ,metadata={'help': 'Attention dropout probability. Goes into model.config.'}      )
			lowerCamelCase__ :		Optional[str]       		=				field(
			    default='linear'      ,metadata={'help': f"Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys()      )}"}      ,)


