Comments (1)
That's normal for the first 49 epochs on 1st training stage. Once you get to epoch 50, you'll see the other losses as well.
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Related Issues (20)
- 你好,请问模型支持流式tts吗? HOT 1
- Fine-tuning worsens the quality of speech-synthesis. HOT 6
- When start firtst_train give errors. I have 96 Gb Ram and 3 P40/24GB/ 1 T4 /16GB/ ?? HOT 10
- Train a zero-shot voice adaptation model for a different accent/language HOT 1
- Finetuning kernel size issue HOT 1
- Preparing text and data HOT 2
- training single speaker different accent/language results HOT 3
- Training a Japanese model, pitch accent and IPA HOT 1
- OOD data for LibriTTS-460 training? HOT 1
- Chinese data HOT 4
- train_second.py model.decoder error (output tensor is nan) HOT 3
- Can we work on why there's the pop or hiss in some generate voice samples HOT 4
- Fine-tuning or training from scratch in a differente language? HOT 13
- Understanding Style tts training process HOT 1
- Finetune duration_proj return NaN HOT 2
- Voice Quality issue using Librispeech HOT 1
- Same voice with different emotion HOT 5
- Train in one language and synthesize in English HOT 3
- error in first train gen loss=0.0 HOT 5
- self._shortcut(x) + self._residual(x) - The size of tensor a (34) must match the size of tensor b (35) at non-singleton dimension 2 HOT 4
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