deepseek-ai / deepseek-ai/DeepSeek-Math
minif2f-Isabella acc
- Dominant language
- Python
- Stars
- 3.4k
- Forks
- 592
- PR merge metrics
- No merged PRs in 30d
Description
I use the [docker image](https://github.com/albertqjiang/Portal-to-ISAbelle/blob/main/docker/docker_tutorial.md) from the PISA repository and the prediction file from output.zip of your repository(path/outputs/DeepSeekMath-Base/miniF2F-Isabelle-test/results/cot/predictions.json). But my acc is about 10% compared to the result of 24.6%. I'd like to know what is the reason for this difference.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start with the linked docker/docker_tutorial.md in the PISA repository and path/outputs/DeepSeekMath-Base/miniF2F-Isabelle-test/results/cot/predictions.json. Reproduce the reported 10% accuracy using that image and prediction file, then compare the evaluation procedure and inputs with the stated 24.6% result; done means identifying and documenting the source of the discrepancy.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker, 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