Finetuning on own data

[cvillela]

Hello again @fschmid56 , thanks for the awesome repo!

I would like to finetune DyMNs on my own dataset for audio classification. Is it possible?

If so, would the best pipeline be to just classify from the latent representations of the model using a shallow head? Or to fine-tune the whole model (or last layers) on a new dataset?

If finetuning the whole model, is it possible to freeze early layers and just adjust the last layer's weights? What would be your approach?

Thank you so much for your effort!