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OPT-66B, unstructured sparsity gets wikitext perplexity 3404.0751953125 #46

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dhjoo98 opened this issue May 2, 2024 · 1 comment

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@dhjoo98
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dhjoo98 commented May 2, 2024

Hello, I used the scripts to prune the OPT-66B. (Unstructured, n_samples 128)
Upon with, I get a wikitext perplexity of 3404, which is way off the metric given in the paper.

I was wondering if the code output metric should be scaled by 0.01, (thus 3.404 perplexity)
Or if this is an outlier performance.

@Eric-mingjie
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Eric-mingjie commented May 3, 2024

This seems to be an outlier performance, which i get before from running on OPT-66B. I wasn't able to look into this (mainly because LLaMA and LLaMA2 is much more popular), but it would be interesting to study why this is the case from a scientific perspective.

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