NVIDIA-NeMo / NVIDIA-NeMo/Automodel
Add JSONL logger and convergence tests to CI
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 963
- Forks
- 318
- Avg merge
- 3d 20h
- Merged PRs (30d)
- 143
Description
Compare against the following for the CI tests:
- train loss
- validation loss
- grad norm
- tps
Contributor guide
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 locating the CI tests and the training metric logging entry point. Compare train loss, validation loss, gradient norm, and tokens per second, then ensure the JSONL logger and CI convergence tests record and verify those metrics.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ci-cd, machine-learning, testing
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100