Comments (1)
Since training generates huge files, and you can only link one (I'm guessing the last one created) can the rest be deleted to save space? I'm new to this, but I'm assuming each subsequent .pth file is "better" than the one before it?
well it looks like not the case
i am currently doing checkpoint comparison testing and looks like after a point quality degrades
what have you found?
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Related Issues (20)
- Can you add to a trained model?
- Separating
- The process cannot access the file because it is being used by another process HOT 1
- Please help RecursionError: maximum recursion depth exceeded while calling a Python object HOT 1
- Got error trying to test the fine-tuned model HOT 1
- Error no kernel image is available for execution on the device HOT 2
- Very detailed tutorial up-to-date HOT 2
- finetune on single speaker HOT 1
- Anyone tried Multi-lingual Tortoise?
- Unexpected keys in state dict when loading Unified Voice HOT 6
- Multi-gpu option is possible? HOT 2
- getting this error:RuntimeError: CUDA error: invalid device ordinal
- I need help with google colab HOT 3
- how to resolve this when i train the japanese voices HOT 4
- Error on ljspeech train starting in google colab: Unexpected key(s) in state_dict: "gpt.h.0.attn.bias", ... HOT 2
- Only using half the capacity of my vidoe card RTX 4090? (12 out of 24G)
- When do I stop the training? How do I know I should stop (Image inside)
- Is this the only voice cloning tech available right now? HOT 2
- Control the length of AUDIOs generated????
- Ghoost voices at the end of sentence in audio generation.
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