Sangwon Jeong
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Sangwon Jeong
Hi! good work you've got here. I ran into the same problem where it wouldn't train at all. Do you have any suspicion as to why it is not learning...
In `model = BarkModel.from_pretrained("suno/bark-small", torch_dtype=torch.float16).to('cpu')`, you are setting the dtata type to a half float try loading it in full float `model = BarkModel.from_pretrained("suno/bark-small", torch_dtype=torch.float32).to('cpu')`.