mirror of https://github.com/coqui-ai/TTS.git
set learning rate for restored model
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train.py
2
train.py
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@ -389,6 +389,8 @@ def main(args):
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criterion.cuda()
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criterion_st.cuda()
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optimizer.load_state_dict(checkpoint['optimizer'])
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for group in optimizer.param_groups:
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group['lr'] = c.lr
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print(
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" > Model restored from step %d" % checkpoint['step'], flush=True)
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start_epoch = checkpoint['epoch']
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