Retrieval-based-Voice-Conversion-WebUI
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refactor: improve checkpoint naming and exit code logic
Removing hard-coded 2333333 in latest saved checkpoint model. This make the code more logical and informative.
Pull request checklist
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[x] The PR has a proper title. Use Semantic Commit Messages. (No more branch-name title please)
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[x] Make sure this is ready to be merged into the relevant branch. Please don't create a PR and let it hang for a few days.
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[x] Ensure you can run the codes you submitted succesfully. These submissions will be prioritized for review:
Introduce improvements in program execution speed;
Introduce improvements in synthesis quality;
Fix existing bugs reported by user feedback (or you met);
Introduce more convenient user operations.
PR type
- synthesis quality improvement
Description
This pull request refactors the checkpoint saving logic to replace the arbitrary value 2333333 with a more meaningful and current identifier. It also updates the exit code to 0 for successful completion.
Pull Affects
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Checkpoint Naming: Replaced the hardcoded value
2333333in checkpoint filenames with thecurrentvalue for clarity and informative issue. -
Exit Code: Changed the exit code from
2333333to0to follow conventional practices for indicating successful completion of the training process.
Hey! Can you please tell me where to find a dataset that would fit this code? Or at least, what do I have to have in my dataset? some .wav files and a csv I guess? The model name is lulu... where is that????
I need help with this. Plus, I wanna train it for another language, do I just have to give a dataset in that language?
just put the path of a folder with audios on the webui
Automatically reading the last checkpoint during the next training is lost.