This model is fine-tuned version of google/flan-t5-base for question & answer pair generation task on the lmqg/qagsquad (datasetname: default) via lmqg. — Language model: google/flan-t5-base — Language: en — Training data: lmqg/qagsquad (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/qagsquad — datasetname: default — inputtypes: [‘paragraph’] — outputtypes: [‘questionsanswers’] — prefixtypes: [‘qag’] — model: google/flan-t5-base — maxlength: 5
Модальности:
Генерация текста
Задача: Генерация текста
Автор: lmqg
Теги: t5, text2text-generation, questions and answers generation, en, model-index, text-generation-inference, endpoints_compatible
Лайков: 2 | Загрузок: 28,656
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
