This model is a pretrained version of gpt2 on an Tinystory dataset. It achieves the following results on the evaluation set: — Loss: 2.3207 The limitation of this model are mainly 2 aspects. The number of parameter of the model is only around 3.6 million which is not large. As a result the model cannot generate text in all perspectives. The dataset is only composed of stories, this greatly hinder the performance of the model. Only stories can be generated. The following hyperparameters were used during training: — learningrate: 0.0005 — trainbatchsize: 32 — evalbatchsize: 32 — seed: 42 — gradientaccumulationsteps: 8 — totaltrainbatchsize: 256 — optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 — lrschedulertype: cosine — lrschedulerwarmupsteps: 100 — numepochs: 1 — Transformers 4.32.0 — Pytorch 2.0.1+cu117 — Datasets 2.14.4 — Tokenizers 0.13.2
Модальности:
Генерация текста
Задача: Генерация текста
Автор: Toflamus
Теги: gpt2, generated_from_trainer, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 15
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
