声音编码训练何时能结束？
- Dominant language
- Python
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Description
声音编码训练运行一下命令： C:\ProgramData\Anaconda3\envs\mockingbird\python.exe E:\workspace\MockingBird\control\cli\encoder_train.py my_run E:\datasets\SV2TTS\encoder -m E:\workspace\MockingBird\data\ckpt\encoder --visdom_server http://localhost
，当进行到step:44k,lose:0.1735,Err:0.0144,再收敛会不会过拟合?
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Research direction
Start with control/cli/encoder_train.py and reproduce the reported command far enough to inspect the 44k-step loss and error values. Review the encoder-training configuration and checkpoint path shown in the issue, then determine what stopping evidence is expected; done means a documented stopping point and a maintainer-confirmed assessment of overfitting.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100