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@@ -16,7 +16,7 @@ The corpus consists of a single speaker, with 4515 segments extracted from [this
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  ## Training
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  The model was trained on a single RTX 3090 GPU for 3 days, 200K steps with a batchsize of 16.
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- We saved some checkpoints with the optimizers, so the model could be train further, however we didn't notice any noticable effect after step 150K.
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  ## Usage
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  The model `diana_final.pth` can be used with [JayWalnut's git repo](https://github.com/jaywalnut310/vits), but you have to modify the `text/cleaners.py` file to contain our `hungarian_cleaners` method.
 
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  ## Training
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  The model was trained on a single RTX 3090 GPU for 3 days, 200K steps with a batchsize of 16.
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+ We saved some checkpoints with the optimizers, so the model could be train further, however we didn't find any noticable effect after step 150K.
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  ## Usage
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  The model `diana_final.pth` can be used with [JayWalnut's git repo](https://github.com/jaywalnut310/vits), but you have to modify the `text/cleaners.py` file to contain our `hungarian_cleaners` method.