Implement early stopping in the inner training
Open
enhancement
- Dominant language
- Python
- Stars
- 1
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Description
Otherwise there will be a lot of near duplicate samples
Contributor guide
No contributing guide indexed for this repository
Research direction
No file, test, or entry point is named. Start by locating the inner training loop and reading how samples are produced and training termination is handled. Done means the inner training stops early enough to avoid producing many near-duplicate samples, with behavior covered by an appropriate test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100