lllyasviel / lllyasviel/ControlNet
About "Sudden Converge Phenomenon"
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 34.1k
- Forks
- 3k
- PR merge metrics
- No merged PRs in 30d
Description
Regarding the number of steps in the "Sudden Converge Phenomenon" you mentioned, if this phenomenon occurs in step 6000, and my dataset has 10000 images with a batch_size of 1, will this phenomenon occur at epoch 0? Isn't it because there are still some images that haven't been sent to training?
Because I seem to have seen mention somewhere that training one epoch is enough, but if I look for it again, I can't find where it was mentioned
Contributor guide
No contributing guide indexed for this repository
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
The issue names no files, tests, or entry points. First trace the training-step and epoch terminology in the project's documentation and surrounding training guidance, then establish whether the stated dataset and batch size affect the phenomenon. Done means documenting a clear, unambiguous answer with the relevant training context.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100