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| | import os |
| | from dataclasses import dataclass, field |
| | from typing import Literal, Optional |
| |
|
| | from datasets import DownloadMode |
| |
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| |
|
| | @dataclass |
| | class EvaluationArguments: |
| | r"""Arguments pertaining to specify the evaluation parameters.""" |
| |
|
| | task: str = field( |
| | metadata={"help": "Name of the evaluation task."}, |
| | ) |
| | task_dir: str = field( |
| | default="evaluation", |
| | metadata={"help": "Path to the folder containing the evaluation datasets."}, |
| | ) |
| | batch_size: int = field( |
| | default=4, |
| | metadata={"help": "The batch size per GPU for evaluation."}, |
| | ) |
| | seed: int = field( |
| | default=42, |
| | metadata={"help": "Random seed to be used with data loaders."}, |
| | ) |
| | lang: Literal["en", "zh"] = field( |
| | default="en", |
| | metadata={"help": "Language used at evaluation."}, |
| | ) |
| | n_shot: int = field( |
| | default=5, |
| | metadata={"help": "Number of examplars for few-shot learning."}, |
| | ) |
| | save_dir: Optional[str] = field( |
| | default=None, |
| | metadata={"help": "Path to save the evaluation results."}, |
| | ) |
| | download_mode: DownloadMode = field( |
| | default=DownloadMode.REUSE_DATASET_IF_EXISTS, |
| | metadata={"help": "Download mode used for the evaluation datasets."}, |
| | ) |
| |
|
| | def __post_init__(self): |
| | if self.save_dir is not None and os.path.exists(self.save_dir): |
| | raise ValueError("`save_dir` already exists, use another one.") |
| |
|