open-compass / open-compass/VLMEvalKit
Why Does the Custom Model Output Only Inference Processes Without Relevant Scores in MathVerse?
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 4.4k
- Forks
- 768
- Avg merge
- 1d 10h
- Merged PRs (30d)
- 17
Description
When testing a custom model using MathVerse (python run.py --data MathVerse_MINI --model My_model), I found that the output does not include any relevant scores, only some inference processes. Can you please explain why?
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 with the MathVerse_MINI invocation in run.py using My_model and trace how the custom model's result is collected and reported. Compare the inference-process output with the relevant-score output expected by MathVerse, then document whether the behavior is expected or identify the missing score path.
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
- 35/100