This is the fine tuned version of OpenAI’s GPT-2 with Alpaca dataset. This has been fine tuned for 20 epochs at batch size of 14. This model has all the biases, risks and limitations of base gpt2 model. 1. GPT2 @article{radford2019language, title={Language Models are Unsupervised Multitask Learners}, author={Radford, Alec and Wu, Jeff and Child, Rewon and Luan, David and Amodei, Dario and Sutskever, Ilya}, year={2019} } 2. tatsu-lab/alpaca @misc{alpaca, author = {Rohan Taori and Ishaan Gulrajani and Tianyi Zhang and Yann Dubois and Xuechen Li and Carlos Guestrin and Percy Liang and Tatsunori B. Hashimoto }, title = {Stanford Alpaca: An Instruction-following LLaMA model}, year = {2023}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {url{https://github.com/tatsu-lab/stanford_alpaca}}, }
Модальности:
Генерация текста
Задача: Генерация текста
Автор: Arjun-G-Ravi
Теги: gpt2, en, text-generation-inference, endpoints_compatible
Лайков: 2 | Загрузок: 27
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
