---

license: cc-by-4.0 metrics:

• bleu4
• meteor
• rouge-l
• bertscore
• moverscore language: en datasets:
• lmqg/qag_tweetqa pipeline_tag: text2text-generation tags:
• questions and answers generation widget:
• text: "generate question and answer: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records." example_title: "Questions & Answers Generation Example 1" model-index:
• name: lmqg/t5-base-tweetqa-qag results:
  • task: name: Text2text Generation type: text2text-generation dataset: name: lmqg/qag_tweetqa type: default args: default metrics:
    • name: BLEU4 (Question & Answer Generation) type: bleu4_question_answer_generation value: 12.93
    • name: ROUGE-L (Question & Answer Generation) type: rouge_l_question_answer_generation value: 36.54
    • name: METEOR (Question & Answer Generation) type: meteor_question_answer_generation value: 30.35
    • name: BERTScore (Question & Answer Generation) type: bertscore_question_answer_generation value: 90.55
    • name: MoverScore (Question & Answer Generation) type: moverscore_question_answer_generation value: 61.82
    • name: QAAlignedF1Score-BERTScore (Question & Answer Generation) type: qa_aligned_f1_score_bertscore_question_answer_generation value: 92.37
    • name: QAAlignedRecall-BERTScore (Question & Answer Generation) type: qa_aligned_recall_bertscore_question_answer_generation value: 92.01
    • name: QAAlignedPrecision-BERTScore (Question & Answer Generation) type: qa_aligned_precision_bertscore_question_answer_generation value: 92.75
    • name: QAAlignedF1Score-MoverScore (Question & Answer Generation) type: qa_aligned_f1_score_moverscore_question_answer_generation value: 64.63
    • name: QAAlignedRecall-MoverScore (Question & Answer Generation) type: qa_aligned_recall_moverscore_question_answer_generation value: 63.85
    • name: QAAlignedPrecision-MoverScore (Question & Answer Generation) type: qa_aligned_precision_moverscore_question_answer_generation value: 65.5

---

Model Card of lmqg/t5-base-tweetqa-qag

This model is fine-tuned version of t5-base for question & answer pair generation task on the lmqg/qag_tweetqa (dataset_name: default) via lmqg.

Overview

• Language model: t5-base
• Language: en
• Training data: lmqg/qag_tweetqa (default)
• Online Demo: https://autoqg.net/
• Repository: https://github.com/asahi417/lm-question-generation
• Paper: https://arxiv.org/abs/2210.03992

Usage

• With lmqg

from lmqg import TransformersQG

# initialize model
model = TransformersQG(language="en", model="lmqg/t5-base-tweetqa-qag")

# model prediction
question_answer_pairs = model.generate_qa("William Turner was an English painter who specialised in watercolour landscapes")

• With transformers

from transformers import pipeline

pipe = pipeline("text2text-generation", "lmqg/t5-base-tweetqa-qag")
output = pipe("generate question and answer: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.")

Evaluation

• Metric (Question & Answer Generation): raw metric file

Training hyperparameters

The following hyperparameters were used during fine-tuning:

• dataset_path: lmqg/qag_tweetqa
• dataset_name: default
• input_types: ['paragraph']
• output_types: ['questions_answers']
• prefix_types: ['qag']
• model: t5-base
• max_length: 256
• max_length_output: 128
• epoch: 15
• batch: 32
• lr: 0.0001
• fp16: False
• random_seed: 1
• gradient_accumulation_steps: 2
• label_smoothing: 0.15

The full configuration can be found at fine-tuning config file.

Citation

@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",
}