aigc-apps / aigc-apps/VideoX-Fun
How to perform multi-stage multi-resolution training?
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- Dominant language
- Python
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Description
Very great work！I will perform multi-stage multi-resolution SFT based on cogvideox-fun.
some problems need your help
1、Parameter Settings for Multi-Resolution Training, such as learning rate、epoch and so on for diff stage:
How should I set the parameters for training at the 512 resolution stage? s
How should I set the parameters for the 768 resolution stage?
How should I set the parameters for the 1024 resolution stage?
2、Training Data for Each Stage:
Is it acceptable to use the same training data for each stage, or should the data differ for each resolution stage?
tks
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- Read the whole issue, then the project's contributing guide.
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Research direction
No file, test, or training entry point is named. Start by locating the repository's training configuration and documentation for CogVideoX-Fun, then determine whether the requested 512, 768, and 1024-stage settings and data guidance can be documented; done means the multi-stage procedure and recommendations are clearly recorded.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 18/100