This model is a GPT-Neo transformer decoder model designed using EleutherAI’s replication of the GPT-3 architecture. It was trained on a thoroughly cleaned corpus of Romanian text of about 40GB composed of Oscar, Opus, Wikipedia, literature and various other bits and pieces of text, joined together and deduplicated. It was trained for about a month, totaling 5.8M steps on a v3 TPU machine. Evaluation to be added soon, also on https://github.com/dumitrescustefan/Romanian-Transformers Thanks TPU Research Cloud for the TPUv3 machine needed to train this model!
Модальности:
Генерация текста
Задача: Генерация текста
Автор: iliemihai
Теги: jax, gpt_neo, romanian, text generation, causal lm, gpt-neo, ro, endpoints_compatible
Лайков: 3 | Загрузок: 320
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
