Comments (8)
um, I think I figure out the way. I didn't zipped dataset in correct way.
Thanks @Gabibing for supporting me.
For someone looking for answer for this problem:
You must create folders called speaker0 - speakerxxx in dataset_raw folder. In speakerxxx, you should put dataset file (audio file). I think most of popular format of audio files are accepted in this repository.
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It seems that there is no validation dataset.
if you don't want to add validation dataset, just disable validation phase.
in line 160 in content/so-vits-svc-5.0/vits_extend/train.py
# validate(hp, args, model_g, model_d, valloader, stft, writer, step, device)
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Thank you for your answer, but how can I make or add validation dataset?
from so-vits-svc-5.0.
And when I disabled that line, the training code just says 0it/s, and does not do anything. It just create sovits5.0-xxx.ckpt.
from so-vits-svc-5.0.
Is this behaviour ok?
from so-vits-svc-5.0.
You should check if you prepared well. I think you don't have valid "files/valid.txt" in this case. You can create that file it by running prepare/preprocess_train.py.
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um, I did running it in official Colab. And it just says 0/0 0it/s. What is going on?
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Exactly, validation set is for the validation not for training.
So if you can train your model well, you can skip the validation phase.
(but its result isn't guaranteed)
I can't answer what exact problem is because there could be a lot of reasons for that.
it may be due to preprocess, dataset path, or other problems.
I hope you find the cause well.
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Related Issues (20)
- finetuning volumetry
- ./data_svc/waves-16k 目录下没有任何东西 HOT 1
- 请问CPU训练速度 HOT 1
- 除了音色转换,推理如何修改歌词呢? HOT 2
- 如何修改whisper的batch?
- About Numpy Version
- Error but show nothing(error). HOT 2
- 推理是是否需要用分离后的人声部分进行推理 HOT 1
- 推理速度如何加快,CPU
- 5分多钟的歌,生成出来只有2分钟左右,这个是什么原因,我使用的是space中的代码 HOT 2
- Pre-training model dataset questions in SO-VITS-SVC 5.0 HOT 1
- 现在需要男歌手翻唱女声的歌曲,使用的是singer0008,因为软件没有变调功能,出来的效果不太行 HOT 2
- 模型训练之后没有best.pt,能否改进?
- 奇怪的问题,GPU推理声音有部分失真,cpu推理正常 HOT 1
- UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weig ht_norm. HOT 3
- 训练的时候GPU利用率较低
- 训练说话模型而非唱歌的问题 HOT 16
- where the Timbre Encode come from? HOT 2
- 怎么把whisper替换掉啊???可以把whisper替换为fast-whisper嘛,为什么替换掉whisper就可以实时语音转换了
- 关于版权方面 HOT 2
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