lucasjinreal / lucasjinreal/Namo-R1
dataset recommendation for finetuning the model
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- Dominant language
- Python
- Stars
- 256
- Forks
- 26
- PR merge metrics
- No merged PRs in 30d
Description
Hi,
thanks for the really great work here! I would like to try out finetuning the model. Can you give a recommendation on datasets for the VLM and how they ideally should be formated and setup to achieve the best possible training results?
Thanks in advance!
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First steps
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Research direction
The issue asks for dataset recommendations and guidance on formatting and setup for VLM fine-tuning, but it names no repository files, tests, or entry points. Start by checking the project's existing training documentation or configuration, if present; done would be a maintainer-approved, documented recommendation rather than a code-only change.
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Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100