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

The model is trained on the jupyter notebook using 10,000 recipes extracted from nlg dataset.

The use is for personal and educational purposes.

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", }