huggingface / huggingface/cosmopedia

questions about evaluation like MMLU

Open
#27 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
Python
Stars
574
Forks
49
PR merge metrics
No merged PRs in 30d

Description

Thank you for sharing.

Some common models like MMLU typically use a 5-shot setting to measure a model's in-context learning capabilities.

Can you explain why MMLU evaluations use a zero-shot plus option content approach?

According to your blog, in this setup, MMLU evaluations are higher than those of QWen1.5B and Phi models, whereas in 5-shot evaluations, the conclusion is the opposite. Is this situation reasonable? Thank you.

Contributor guide

No contributing guide indexed for this repository

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.