research-backup/mbart-large-cc25-koquad-qag

This model is fine-tuned version of facebook/mbart-large-cc25 for question & answer pair generation task on the lmqg/qagkoquad (datasetname: default) via lmqg. — Language model: facebook/mbart-large-cc25 — Language: ko — Training data: lmqg/qagkoquad (default) — Online Demo: https://autoqg.net/ — Repository: https://github.com/asahi417/lm-question-generation — Paper:** https://arxiv.org/abs/2210.03992 The following hyperparameters were used during fine-tuning: — datasetpath: lmqg/qagkoquad — datasetname: default — inputtypes: [‘paragraph’] — outputtypes: [‘questionsanswers’] — prefixtypes: None — model: facebook/mbart-large-cc25 — m

Модальности:
Генерация текста

Задача: Генерация текста
Автор: research-backup
Теги: mbart, text2text-generation, questions and answers generation, ko, model-index, endpoints_compatible
Лайков: 2  |  Загрузок: 33

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