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I also came looking for an answer to this, seems Musubi doesn't support eval sets |
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Well, I'm a shit programmer so forewarned but I used Claude to write a validation test for Wan2.2. I've forked this project because I have no idea how to submit a git commit to a project that is not mine or suggest changes to the main project. Maybe someone smarter then me can port the code over and submit a update request for the validation testing. I'm sure there are issues with the code but here it is if you are interested: https://github.com/niceguy4/musubi-tuner-wan-validation/ |
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Reference: https://github.com/spacepxl/demystifying-sd-finetuning
It is my understanding that its important to run validation testing against a separate dataset that is not included in the original training dataset to see how the model is progressing towards generalizing. I believe this helps to identify when the model starts to overfit.
How are ya'll running validation tests with Musubi-Tuner? I understand that I can just generate videos/images for each epoch but is there a more scientific approach that can be automated that follows standard validation testing methods?
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