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dee9fba | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | # Copyright 2024 The HuggingFace Inc. 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.
from dataclasses import dataclass
from typing import Optional
@dataclass
class ScriptArguments:
"""
Arguments common to all scripts.
dataset_name (`str`):
Dataset name.
dataset_train_split (`str`, *optional*, defaults to `"train"`):
Dataset split to use for training.
dataset_test_split (`str`, *optional*, defaults to `"test"`):
Dataset split to use for evaluation.
config (`str` or `None`, *optional*, defaults to `None`):
Path to the optional config file.
gradient_checkpointing_use_reentrant (`bool`, *optional*, defaults to `False`):
Whether to apply `use_reentrant` for gradient_checkpointing.
ignore_bias_buffers (`bool`, *optional*, defaults to `False`):
Debug argument for distributed training. Fix for DDP issues with LM bias/mask buffers - invalid scalar type,
inplace operation. See https://github.com/huggingface/transformers/issues/22482#issuecomment-1595790992.
"""
dataset_name: str
dataset_train_split: str = "train"
dataset_test_split: str = "test"
config: Optional[str] = None
gradient_checkpointing_use_reentrant: bool = False
ignore_bias_buffers: bool = False
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