


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

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


a : Dict		=				logging.getLogger(__name__)
@dataclass
class 	lowerCamelCase_       (				__a				):



					'''simple docstring'''







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






from ..utils import DummyObject, requires_backends
class 	lowerCamelCase_       (				metaclass=lowerCAmelCase__				):



					'''simple docstring'''







					__UpperCAmelCase            =				["onnx"]






					def __init__(				self ,       *snake_case_ ,       **snake_case_						)   ->			List[Any]:







								'''simple docstring'''

								requires_backends(self ,       ['''onnx''']						)






					@classmethod
					def A      (				cls ,       *snake_case_ ,       **snake_case_						)   ->			int:







								'''simple docstring'''

								requires_backends(cls ,       ['''onnx''']						)






					@classmethod
					def A      (				cls ,       *snake_case_ ,       **snake_case_						)   ->			List[str]:







								'''simple docstring'''

								requires_backends(cls ,       ['''onnx''']						)


