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What metrics do you use to evaluate the performance of a fine-tuned model?
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Answer / Sneha Kumari
To evaluate the performance of a fine-tuned model, consider using these metrics: 1. Accuracy or F1 score for classification tasks; 2. Mean squared error or root mean squared error for regression tasks; 3. Perplexity for language models; 4. Bleu and Rouge scores for text generation tasks.
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