How to fine-tune the TabPFN model?

[setipsh]

I am using the TabPFN model for a classification task and would like to fine-tune the already trained pre-trained model to better adapt it to my specific dataset. I have reviewed the documentation and code, but I still have some questions about the specific steps and parameter settings for fine-tuning.
Does fine-tuning TabPFN involve gradient updates?
How many training epochs are needed?
During the fine-tuning process, which parameters are the most important?

[noahho]

Dear setipsh, We have fine-tuning not running in the current code-base. I will tag this Issue with a todo, to re-enable finetuning in our codebase. It was removed when cleaning up our code and improving code quality. Hope to get this in soon!