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Perplexity and Language Model Evaluation
Perplexity and Language Model Evaluation
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Why is perplexity useful when evaluating a language model?
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A.
It removes the need for a validation set during training
B.
It proves the model will answer every user question correctly
C.
It is the number of parameters divided by the batch size
D.
It summarizes held-out next-token likelihood on a more interpretable scale
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