


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

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


A							:					List[str]     						=     logging.getLogger(__name__)






@dataclass
class     UpperCamelCase(  _a   ):

					'''simple docstring'''





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









import os
from typing import Dict, List, Tuple, TypeVar, Union


A							:					List[Any]     						=     TypeVar('T')

A							:					Dict     						=     Union[List[T], Tuple[T, ...]]
A							:					Any     						=     Union[T, List[T], Dict[str, T]]
A							:					Optional[int]     						=     Union[str, bytes, os.PathLike]





