Bart Large Squad Qg No Paragraph

🚀 research-backup/bart-large-squad-qg-no-paragraph 模型卡片

本模型是 facebook/bart-large 的微调版本，用于在 lmqg/qg_squad（数据集名称：default）上进行问题生成任务，微调借助了 lmqg 工具。该模型在微调时不使用段落信息，仅使用包含答案的句子。

🚀 快速开始

模型基本信息

许可证

本模型使用 CC BY 4.0 许可证。

评估指标

• BLEU4
• METEOR
• ROUGE-L
• BERTScore
• MoverScore

数据集

• lmqg/qg_squad

模型标签

• 问题生成

示例展示

• 输入文本：" Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records." 示例标题："问题生成示例 1"
• 输入文本："Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records." 示例标题："问题生成示例 2"
• 输入文本："Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records ." 示例标题："问题生成示例 3"

💻 使用示例

基础用法

使用 lmqg 库

from lmqg import TransformersQG

# 初始化模型
model = TransformersQG(language="en", model="research-backup/bart-large-squad-qg-no-paragraph")

# 模型预测
questions = model.generate_q(list_context="William Turner was an English painter who specialised in watercolour landscapes", list_answer="William Turner")

使用 transformers 库

from transformers import pipeline

pipe = pipeline("text2text-generation", "research-backup/bart-large-squad-qg-no-paragraph")
output = pipe("<hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.")

📚 详细文档

评估

• 问题生成指标: 原始指标文件

训练超参数

以下超参数在微调过程中使用：

• 数据集路径：lmqg/qg_squad
• 数据集名称：default
• 输入类型：['sentence_answer']
• 输出类型：['question']
• 前缀类型：None
• 模型：facebook/bart-large
• 最大长度：128
• 最大输出长度：32
• 训练轮数：8
• 批次大小：32
• 学习率：5e-05
• 是否使用混合精度：False
• 随机种子：1
• 梯度累积步数：16
• 标签平滑系数：0.15

完整配置可在 微调配置文件 中查看。

引用

@inproceedings{ushio-etal-2022-generative,
    title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration",
    author = "Ushio, Asahi  and
        Alva-Manchego, Fernando  and
        Camacho-Collados, Jose",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, U.A.E.",
    publisher = "Association for Computational Linguistics",
}