This model is a fine-tuned version of GroNLP/gpt2-medium-dutch-embeddings on an unkown dataset. It achieves the following results on the evaluation set: — Loss: 3.9268 The following hyperparameters were used during training: — learningrate: 2e-05 — trainbatchsize: 8 — evalbatchsize: 8 — seed: 42 — optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 — lrschedulertype: linear — numepochs: 3.0 — Transformers 4.9.0 — Pytorch 1.9.0+cu102 — Datasets 1.10.2 — Tokenizers 0.10.3
Модальности:
Генерация текста
Задача: Генерация текста
Автор: Pyjay
Теги: tensorboard, gpt2, generated_from_trainer, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 28
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
