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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())}"}, | |
) | |