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--- |
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license: cc-by-4.0 |
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metrics: |
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- bleu4 |
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- meteor |
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- rouge-l |
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- bertscore |
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- moverscore |
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language: ja |
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datasets: |
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- lmqg/qag_jaquad |
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pipeline_tag: text2text-generation |
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tags: |
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- questions and answers generation |
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widget: |
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- text: "ゾフィーは貴族出身ではあったが王族出身ではなく、ハプスブルク家の皇位継承者であるフランツ・フェルディナントとの結婚は貴賤結婚となった。皇帝フランツ・ヨーゼフは、2人の間に生まれた子孫が皇位を継がないことを条件として結婚を承認していた。視察が予定されている6月28日は2人の14回目の結婚記念日であった。" |
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example_title: "Questions & Answers Generation Example 1" |
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model-index: |
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- name: lmqg/mt5-small-jaquad-qag |
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results: |
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- task: |
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name: Text2text Generation |
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type: text2text-generation |
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dataset: |
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name: lmqg/qag_jaquad |
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type: default |
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args: default |
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metrics: |
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- name: BLEU4 (Question & Answer Generation) |
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type: bleu4_question_answer_generation |
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value: 3.66 |
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- name: ROUGE-L (Question & Answer Generation) |
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type: rouge_l_question_answer_generation |
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value: 15.62 |
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- name: METEOR (Question & Answer Generation) |
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type: meteor_question_answer_generation |
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value: 9.88 |
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- name: BERTScore (Question & Answer Generation) |
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type: bertscore_question_answer_generation |
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value: 58.55 |
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- name: MoverScore (Question & Answer Generation) |
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type: moverscore_question_answer_generation |
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value: 49.1 |
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- name: QAAlignedF1Score-BERTScore (Question & Answer Generation) |
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type: qa_aligned_f1_score_bertscore_question_answer_generation |
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value: 58.35 |
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- name: QAAlignedRecall-BERTScore (Question & Answer Generation) |
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type: qa_aligned_recall_bertscore_question_answer_generation |
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value: 58.38 |
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- name: QAAlignedPrecision-BERTScore (Question & Answer Generation) |
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type: qa_aligned_precision_bertscore_question_answer_generation |
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value: 58.34 |
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- name: QAAlignedF1Score-MoverScore (Question & Answer Generation) |
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type: qa_aligned_f1_score_moverscore_question_answer_generation |
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value: 39.19 |
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- name: QAAlignedRecall-MoverScore (Question & Answer Generation) |
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type: qa_aligned_recall_moverscore_question_answer_generation |
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value: 39.17 |
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- name: QAAlignedPrecision-MoverScore (Question & Answer Generation) |
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type: qa_aligned_precision_moverscore_question_answer_generation |
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value: 39.21 |
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--- |
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# Model Card of `lmqg/mt5-small-jaquad-qag` |
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This model is fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) for question & answer pair generation task on the [lmqg/qag_jaquad](https://huggingface.co/datasets/lmqg/qag_jaquad) (dataset_name: default) via [`lmqg`](https://github.com/asahi417/lm-question-generation). |
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### Overview |
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- **Language model:** [google/mt5-small](https://huggingface.co/google/mt5-small) |
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- **Language:** ja |
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- **Training data:** [lmqg/qag_jaquad](https://huggingface.co/datasets/lmqg/qag_jaquad) (default) |
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- **Online Demo:** [https://autoqg.net/](https://autoqg.net/) |
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- **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation) |
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- **Paper:** [https://arxiv.org/abs/2210.03992](https://arxiv.org/abs/2210.03992) |
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### Usage |
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- With [`lmqg`](https://github.com/asahi417/lm-question-generation#lmqg-language-model-for-question-generation-) |
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```python |
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from lmqg import TransformersQG |
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# initialize model |
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model = TransformersQG(language="ja", model="lmqg/mt5-small-jaquad-qag") |
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# model prediction |
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question_answer_pairs = model.generate_qa("フェルメールの作品では、17世紀のオランダの画家、ヨハネス・フェルメールの作品について記述する。フェルメールの作品は、疑問作も含め30数点しか現存しない。現存作品はすべて油彩画で、版画、下絵、素描などは残っていない。") |
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``` |
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- With `transformers` |
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```python |
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from transformers import pipeline |
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pipe = pipeline("text2text-generation", "lmqg/mt5-small-jaquad-qag") |
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output = pipe("ゾフィーは貴族出身ではあったが王族出身ではなく、ハプスブルク家の皇位継承者であるフランツ・フェルディナントとの結婚は貴賤結婚となった。皇帝フランツ・ヨーゼフは、2人の間に生まれた子孫が皇位を継がないことを条件として結婚を承認していた。視察が予定されている6月28日は2人の14回目の結婚記念日であった。") |
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``` |
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## Evaluation |
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- ***Metric (Question & Answer Generation)***: [raw metric file](https://huggingface.co/lmqg/mt5-small-jaquad-qag/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qag_jaquad.default.json) |
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| | Score | Type | Dataset | |
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|:--------------------------------|--------:|:--------|:-------------------------------------------------------------------| |
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| BERTScore | 58.55 | default | [lmqg/qag_jaquad](https://huggingface.co/datasets/lmqg/qag_jaquad) | |
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| Bleu_1 | 8.16 | default | [lmqg/qag_jaquad](https://huggingface.co/datasets/lmqg/qag_jaquad) | |
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| Bleu_2 | 6.13 | default | [lmqg/qag_jaquad](https://huggingface.co/datasets/lmqg/qag_jaquad) | |
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| Bleu_3 | 4.7 | default | [lmqg/qag_jaquad](https://huggingface.co/datasets/lmqg/qag_jaquad) | |
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| Bleu_4 | 3.66 | default | [lmqg/qag_jaquad](https://huggingface.co/datasets/lmqg/qag_jaquad) | |
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| METEOR | 9.88 | default | [lmqg/qag_jaquad](https://huggingface.co/datasets/lmqg/qag_jaquad) | |
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| MoverScore | 49.1 | default | [lmqg/qag_jaquad](https://huggingface.co/datasets/lmqg/qag_jaquad) | |
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| QAAlignedF1Score (BERTScore) | 58.35 | default | [lmqg/qag_jaquad](https://huggingface.co/datasets/lmqg/qag_jaquad) | |
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| QAAlignedF1Score (MoverScore) | 39.19 | default | [lmqg/qag_jaquad](https://huggingface.co/datasets/lmqg/qag_jaquad) | |
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| QAAlignedPrecision (BERTScore) | 58.34 | default | [lmqg/qag_jaquad](https://huggingface.co/datasets/lmqg/qag_jaquad) | |
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| QAAlignedPrecision (MoverScore) | 39.21 | default | [lmqg/qag_jaquad](https://huggingface.co/datasets/lmqg/qag_jaquad) | |
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| QAAlignedRecall (BERTScore) | 58.38 | default | [lmqg/qag_jaquad](https://huggingface.co/datasets/lmqg/qag_jaquad) | |
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| QAAlignedRecall (MoverScore) | 39.17 | default | [lmqg/qag_jaquad](https://huggingface.co/datasets/lmqg/qag_jaquad) | |
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| ROUGE_L | 15.62 | default | [lmqg/qag_jaquad](https://huggingface.co/datasets/lmqg/qag_jaquad) | |
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## Training hyperparameters |
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The following hyperparameters were used during fine-tuning: |
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- dataset_path: lmqg/qag_jaquad |
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- dataset_name: default |
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- input_types: ['paragraph'] |
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- output_types: ['questions_answers'] |
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- prefix_types: None |
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- model: google/mt5-small |
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- max_length: 512 |
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- max_length_output: 256 |
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- epoch: 18 |
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- batch: 8 |
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- lr: 0.001 |
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- fp16: False |
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- random_seed: 1 |
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- gradient_accumulation_steps: 8 |
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- label_smoothing: 0.0 |
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The full configuration can be found at [fine-tuning config file](https://huggingface.co/lmqg/mt5-small-jaquad-qag/raw/main/trainer_config.json). |
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## Citation |
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``` |
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@inproceedings{ushio-etal-2022-generative, |
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title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration", |
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author = "Ushio, Asahi and |
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Alva-Manchego, Fernando and |
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Camacho-Collados, Jose", |
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booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing", |
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month = dec, |
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year = "2022", |
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address = "Abu Dhabi, U.A.E.", |
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publisher = "Association for Computational Linguistics", |
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} |
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``` |
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