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XTTS v1.1 GPT Trainer #3086
XTTS v1.1 GPT Trainer #3086
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Looks good to me. Waiting for @WeberJulian |
I'm not 100% sure that we should use those values BATCH_SIZE 3 and GRAD_ACUMM_STEPS 84 for fine-tuning. In some extreme cases (small datasets) a single step will be more than an epoch. Why not use the values we use internally 8 and 1 ? |
Otherwise, it looks good to me too. Great work. In future PRs, we can focus on reducing the VRAM footprint of fine-tuning to something more reasonable that you can do on collab with 16Gb of VRAM. |
That's interesting that you use 8/1 internally. The comments say you need an effective batch size of like 230 or something for good quality. Regardless, it would seem difficult to use a small dataset, in my limited experience, the model overfits pretty quickly, even with a much reduced learning rate, even with a decent sized data set. I'm still trying to get anywhere near a good voice match before it overfits. |
XTTS GPT Trainer for XTTS v1.1.
ToDos: