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Hello, Thank you for sharing the mellotron code.
I have a question about mismatch model volume between pre-trained model and the model trained by default code.
The pre-trained models you uploaded (LibriTTS or LJS) are about 127MB respectively.
But when I trained with the default setting (train.py and hparams.py), the checkpoint volume is about 382MB.
Is there any settings that I missed ? (such as changing some layer dimensions etc...)
The text was updated successfully, but these errors were encountered:
Hello, Thank you for sharing the mellotron code.
I have a question about mismatch model volume between pre-trained model and the model trained by default code.
The pre-trained models you uploaded (LibriTTS or LJS) are about 127MB respectively.
But when I trained with the default setting (train.py and hparams.py), the checkpoint volume is about 382MB.
Is there any settings that I missed ? (such as changing some layer dimensions etc...)
The text was updated successfully, but these errors were encountered: