I'm still not sure though about some nitpicky things: - do you change all the weights, or just the ones from the last layer when fine-tuning? - do you just train on the _code_ field from the JSON file with the self-instruct data, or do you also use the other fields to train (or do you use the other fields just for downstream evaluation purposes)?

I think it could be a major selling point of your paper if on Github (or in an appendix to your preprint, if you update it on arxiv), you had a section where you document the training process in detail