RVC-Project / RVC-Project/Retrieval-based-Voice-Conversion-WebUI
Training Loop Update For Gen vs. Disc
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- Dominant language
- Python
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- 38.4k
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Description
Hello,
I've read i few articles that suggest it may make sense at certain stages/iterations of training to update the training loop where the Generator is updated at a ratio of 2:1 versus the Discriminator. I am a hobbyist at best, and was wondering if anyone could provide insight into where/how to implement this option in the code versus me trying to figure out over the next month :)
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the repository's generator and discriminator training loop and reading how update steps are scheduled. Determine where a configurable 2:1 generator-to-discriminator ratio would belong, then verify that training supports the selected ratio without disrupting the existing voice-conversion workflow.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100