huggingface / huggingface/lighteval
Evaluation of encoder and decoder models on SuperGLUE
Open
- Dominant language
- Python
- Stars
- 2.5k
- Forks
- 555
- Avg merge
- 1d 6h
- Merged PRs (30d)
- 1
Description
Hi guys,
I want to evaluate models like ModernBERT, Llama and many others on SuperGLUE and my own benchmark. In my setting, every model has to be fine-tuned for the specific task, even decoder models.
Is this currently supported by LightEval? Looking at the code, my feeling is that evaluations are only done by prompting.
Thanks.
Contributor guide
No contributing guide indexed for this repository
Assessment
This issue has not been assessed yet.