Skip to content

Conversation

lhk
Copy link

@lhk lhk commented Sep 7, 2025

Please consider this a draft :)

I'd like to use LoRa for faster finetuning. Do you have advice on how I can best test whether the changes proposed in this PR are correct? Is there another dataset such as TheCauldron that is easily compatible with nanoVLM? Ideally I'd like to use the nanoVLM checkpoint that you've published on huggingface and that is already pretrained on TheCauldron and then see how LoRa based finetuning works for a new dataset.

Currently I'm using this LoRa setup to finetune a pretrained nanoVLM on a robotics dataset. It's learning but the results are inconclusive. It's been a day on a consumer GPU and the data is far out of distribution compared to the pretraining data, so I'm not expecting much. The loss is decreasing, but I just have no frame of reference. So this can't really work as a test whether my PEFT changes introduce subtle bugs.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant