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