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| # Copyright 2020 The HuggingFace Team. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import logging | |
| from dataclasses import dataclass, field | |
| from typing import Optional | |
| from seq2seq_trainer import arg_to_scheduler | |
| from transformers import TrainingArguments | |
| logger = logging.getLogger(__name__) | |
| class Seq2SeqTrainingArguments(TrainingArguments): | |
| """ | |
| Parameters: | |
| label_smoothing (:obj:`float`, `optional`, defaults to 0): | |
| The label smoothing epsilon to apply (if not zero). | |
| sortish_sampler (:obj:`bool`, `optional`, defaults to :obj:`False`): | |
| Whether to SortishSamler or not. It sorts the inputs according to lenghts in-order to minimizing the padding size. | |
| predict_with_generate (:obj:`bool`, `optional`, defaults to :obj:`False`): | |
| Whether to use generate to calculate generative metrics (ROUGE, BLEU). | |
| """ | |
| label_smoothing: Optional[float] = field( | |
| default=0.0, metadata={"help": "The label smoothing epsilon to apply (if not zero)."} | |
| ) | |
| sortish_sampler: bool = field(default=False, metadata={"help": "Whether to SortishSamler or not."}) | |
| predict_with_generate: bool = field( | |
| default=False, metadata={"help": "Whether to use generate to calculate generative metrics (ROUGE, BLEU)."} | |
| ) | |
| adafactor: bool = field(default=False, metadata={"help": "whether to use adafactor"}) | |
| encoder_layerdrop: Optional[float] = field( | |
| default=None, metadata={"help": "Encoder layer dropout probability. Goes into model.config."} | |
| ) | |
| decoder_layerdrop: Optional[float] = field( | |
| default=None, metadata={"help": "Decoder layer dropout probability. Goes into model.config."} | |
| ) | |
| dropout: Optional[float] = field(default=None, metadata={"help": "Dropout probability. Goes into model.config."}) | |
| attention_dropout: Optional[float] = field( | |
| default=None, metadata={"help": "Attention dropout probability. Goes into model.config."} | |
| ) | |
| lr_scheduler: Optional[str] = field( | |
| default="linear", | |
| metadata={"help": f"Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys())}"}, | |
| ) | |