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I was learning to use svc and followed through the tutorial to set everything up. I tried the training a model and the code did run in the Terminal, and I could see epochs iterating. However, there were no updates on the models saved, and under logs/44k there were no models saved from the training ("G_400.pth", etc.). I tried changing the parameters like log_interval/eval_interval/batch_size/keep_ckpts but nothing worked.
To Reproduce
Use python preprocess_hubert_f0.py --f0_predictor rmvpe for preprocessing and python train.py -c configs/config.json -m 44k for training. The most basic procedure.
Additional context
No response
Version
4.1
Platform
Windows 11
Code of Conduct
I agree to follow this project's Code of Conduct.
No Duplicate
I have checked existing issues to avoid duplicates.
The text was updated successfully, but these errors were encountered:
Describe the bug
I was learning to use svc and followed through the tutorial to set everything up. I tried the training a model and the code did run in the Terminal, and I could see epochs iterating. However, there were no updates on the models saved, and under logs/44k there were no models saved from the training ("G_400.pth", etc.). I tried changing the parameters like log_interval/eval_interval/batch_size/keep_ckpts but nothing worked.
To Reproduce
Use python preprocess_hubert_f0.py --f0_predictor rmvpe for preprocessing and python train.py -c configs/config.json -m 44k for training. The most basic procedure.
Additional context
No response
Version
4.1
Platform
Windows 11
Code of Conduct
No Duplicate
The text was updated successfully, but these errors were encountered: