ming024 / FastSpeech2

An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

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How should I set the optimizer parameter in train.yaml

fangg2021 opened this issue · comments

Who can explain the optimizer parameter in train.yaml:

batch_ size: 16
betas: [0.9, 0.98]
eps: 0.000000001
weight_ decay: 0.0
grad_ clip_ thresh: 1.0
grad_ acc_ step: 1
warm_ up_ step: 4000
anneal_ steps: [300000, 400000, 500000]
anneal_ rate: 0.3

How should I set it? For example, my samples are only 3000. Thank you.

one more question, How to change the time occupied by 'sp'? Or where?