This model is fine-tuned version of facebook/mbart-large-cc25 for question answering task on the lmqg/qgkoquad (datasetname: default) via lmqg. — Language model: facebook/mbart-large-cc25 — Language: ko — Training data: lmqg/qgkoquad (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/qgkoquad — datasetname: default — inputtypes: [‘paragraphquestion’] — outputtypes: [‘answer’] — prefixtypes: None — model: facebook/mbart-large-cc25 — maxle
Модальности:
Генерация текста
Задача: Генерация текста
Автор: research-backup
Теги: mbart, text2text-generation, question answering, ko, model-index, endpoints_compatible
Лайков: 2 | Загрузок: 22
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
