This model is a fine-tuned version of gpt2 on an nlg dataset from https://github.com/Glorf/recipenlg/tree/main which has been subset into recipes containing chicken. It achieves the following results on the evaluation set:

This model is a fine-tuned version of gpt2 using 10,000 chicken recipes extracted from nlg dataset.
It achieves the following results on the evaluation set:

The use is for personal and educational purposes.

The model uses 10043 recipes for its training data and 100 recipes for its evaluation data.

The following hyperparameters were used during training:

@inproceedings{bien-etal-2020-recipenlg, title = "{R}ecipe{NLG}: A Cooking Recipes Dataset for Semi-Structured Text Generation", author = "Bie{'n}, Micha{\l} and Gilski, Micha{\l} and Maciejewska, Martyna and Taisner, Wojciech and Wisniewski, Dawid and Lawrynowicz, Agnieszka", booktitle = "Proceedings of the 13th International Conference on Natural Language Generation", month = dec, year = "2020", address = "Dublin, Ireland", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/2020.inlg-1.4", pages = "22--28", }