> NOTE: there is currently a bug with huggingface API for OPT models. Please use the colab notebook to test 🙂 This model is a fine-tuned version of facebook/opt-125m on an aeslc dataset. — Emails, phone numbers, etc., were attempted to be excluded in a dataset preparation step using clean-text in Python. — Note that API is restricted to generating 64 tokens — you can generate longer emails by using this in a text-generation pipeline object It achieves the following results on the evaluation set: — Loss: 2.5552 — OPT models cannot be used commercially — here is a GitHub gist for a script to generate emails in the console or to a text file. — the emailbody` field of train + validation (get more data) from the aeslc dataset. — Transformers 4.20.1 — Pytorch 1.11.0+cu113 — Tokenizers 0.12.1
Модальности:
Генерация текста
Задача: Генерация текста
Автор: pszemraj
Теги: opt, generated_from_trainer, custom-license, non-commercial, email, auto-complete, 125m, text-generation-inference
Лайков: 3 | Загрузок: 27
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.