Verified65% confidenceFactExact time
Perplexity is the most commonly used intrinsic metric for evaluating the pretraining quality of language models, defined as the exponential form of the inverse geometric mean of the model's predicted probability for each token in the test set, where a lower value indicates that the model predicts the text more accurately.
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65%
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Long-term
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10/15/2026
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