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Kyubyong avatar Kyubyong commented on August 16, 2024

Can you share your training loss graph?

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hmubarak avatar hmubarak commented on August 16, 2024

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Kyubyong avatar Kyubyong commented on August 16, 2024

From the TensorBoard. I guess 200 epochs, or 1000 global steps are far from enough. Note that the paper said they trained for 2 million global steps. And I think that's one of the biggest reasons why people including me have had difficulties getting a good result. (The other reason is, of course, some possible bugs in the implementation. But it's also true that mostly we don't have enough gpus or time or patience!) But the training curve keeps slowly decreasing, I think that's a good sign.

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candlewill avatar candlewill commented on August 16, 2024

@hmubarak I have the same problem here with yours.

All of the generated voice is like this:
image

Loss
image

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Spotlight0xff avatar Spotlight0xff commented on August 16, 2024

@candlewill As said before, we need to be more patient with the training. 800 global steps is very unlikely to yield good results.

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frozen-finger avatar frozen-finger commented on August 16, 2024

I faced the same problem. Did you solve this problem by keeping training?(i am now over 26k steps)

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giridhar-pamisetty avatar giridhar-pamisetty commented on August 16, 2024

@candlewill @Kyubyong @hmubarak How did you solve this issue? I trained for almost 50k steps. But still when I synthesize using synthesize.py, it is generating empty wavs. Can you please solve this issue?

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