GPT-2 performance
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Perplexity in Language Models: Evaluation and Insights
Perplexity in language models is a crucial metric used to evaluate how well a model can predict sequences of text.When assessing language model performance, especially in contexts like training transformer models, understanding perplexity helps identify the model’s ability to generate coherent and contextually relevant text.
