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 的微調版本，用於在 lmqg/qg_squad（數據集名稱：default）上進行問題生成任務，微調藉助了 lmqg 工具。該模型在微調時不使用段落信息，僅使用包含答案的句子。

🚀 快速開始

模型基本信息

許可證

本模型使用 CC BY 4.0 許可證。

評估指標

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

數據集

• lmqg/qg_squad

模型標籤

• 問題生成

示例展示

• 輸入文本：" Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records." 示例標題："問題生成示例 1"
• 輸入文本："Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records." 示例標題："問題生成示例 2"
• 輸入文本："Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records ." 示例標題："問題生成示例 3"

💻 使用示例

基礎用法

使用 lmqg 庫

from lmqg import TransformersQG

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

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

使用 transformers 庫

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.")

📚 詳細文檔

評估

• 問題生成指標: 原始指標文件

訓練超參數

以下超參數在微調過程中使用：

• 數據集路徑：lmqg/qg_squad
• 數據集名稱：default
• 輸入類型：['sentence_answer']
• 輸出類型：['question']
• 前綴類型：None
• 模型：facebook/bart-large
• 最大長度：128
• 最大輸出長度：32
• 訓練輪數：8
• 批次大小：32
• 學習率：5e-05
• 是否使用混合精度：False
• 隨機種子：1
• 梯度累積步數：16
• 標籤平滑係數：0.15

完整配置可在 微調配置文件 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",
}