Comments (2)
Reduce batch size, this is most likely happening due to the costly attention. Total dataset size shouldn't matter too much as Tensorflow's Dataset is supposed to handle this. You can also remove the dynamic memory allocation at the beginning of the script if you don't mind using all the memory all the time.
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Thank you for the quick reply, I'll try a lower batch size then.
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Related Issues (20)
- ERROR: while preparing training data HOT 1
- inference error HOT 1
- how can i save the audio file if i am using thee pretrained model in google colab
- Word timestamps
- layer.py TransposedCNNResNorm
- Get rid of the "robotic" sound HOT 4
- model.hdf5 file does not create
- No module named 'decorator'
- How to install on windows?
- the missing of HiFiGAN model.pt HOT 2
- Pause between sentence
- model.pt
- Alignments in PyTorch implementation
- Can't Finish PHONEMIZING On Google Colab. HOT 2
- Error : raise StopIteration StopIteration
- error to run a train_aligner.py
- how Normalized dataset
- DeepPhonemizer? (Phonemizer License Issue)
- About model structute.
- [CONTRIBUTION] Speech Dataset Generator
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