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...)
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...)