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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.
The text was updated successfully, but these errors were encountered:
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.
The text was updated successfully, but these errors were encountered: