I am trying to build an audio classification model by fine-tuning the distil-hubert model on a dataset called ( Nooon/Donate_a_cry ) after I finished, I noticed that the accuracy doesn’t get any better, and I think it’s because of the imbalanced data.
So, my question is how to handle this situation because I am new to hugging face and thanks in advance 