machine learning – Why does lower perplexity indicate better …

January 24, 2025

The perplexity, used by convention in language modeling, is monotonically decreasing in the likelihood of the test data, and is algebraicly equivalent to the inverse of the geometric mean per-word likelihood. A lower perplexity score indicates better generalization performance. I.e, a lower perplexity indicates that the data are more likely.

https://stats.stackexchange.com/questions/273355/why-does-lower-perplexity-indicate-better-generalization-performance

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