lucidrains / lucidrains/tiny-recursive-model
Reduction of halt loss
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 192
- Forks
- 34
- PR merge metrics
- No merged PRs in 30d
Description
I'm using this model with dataset but still no halt loss reduction
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
Start by reproducing the reported lack of halt-loss reduction with the model and dataset configuration used by the reporter. Inspect the training output to determine whether the behavior is reproducible and identify the relevant training entry point. Done means establishing the cause and confirming that halt loss reduces under the expected setup.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100