How to determine the model's accuracy based on log information?

jaywalnut310 / vits

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

https://jaywalnut310.github.io/vits-demo/index.html

MIT License

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How to determine the model's accuracy based on log information? #124

Open yz1392946854 opened 1 year ago

yz1392946854 commented 1 year ago

I am a newbie in PyTorch, I find the log output information difficult to understand. Could you tell me how to know that the model has finished training? How can I know the meaning of the parameters such as loss_disc, loss_gen, loss_fm, loss_mel, loss_dur, loss_kl? losses = [loss_disc, loss_gen, loss_fm, loss_mel, loss_dur, loss_kl]

QFDG commented 1 year ago

Tensorboard