modelscope / modelscope/DiffSynth-Studio
Wan2.1 lora training loss
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Description
对于wan2.1，在一些开源video-caption数据集上，比如vidgen，koala36m，大概最终的runnning_mean_loss是多少呢
For wan2.1 trained on open-source datasets such as vidgen and koala36m using lora, what is the ultimate running_mean_loss?
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Research direction
The issue asks for the ultimate running_mean_loss for Wan2.1 LoRA training on the vidgen and koala36m datasets. No files, tests, entry points, or acceptance criteria are mentioned; resolving it would require identifying comparable training runs and documenting the expected values or clarifying the question.
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Assessment
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100