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Related Questions
- What are the key differences between precision and recall in evaluating text generation models?
- How does F1-score balance precision and recall in model evaluation?
- Can you provide examples of scenarios where F1-score is more suitable than accuracy for evaluating text generation models?
- What are some common challenges in calculating F1-score for text generation models, especially with imbalanced datasets?
- How can F1-score be used to compare the performance of different text generation models?
- What are some limitations of using F1-score as a sole metric for evaluating text generation models?
- Can you explain how F1-score can be used in combination with other metrics, such as BLEU score or ROUGE score, for a more comprehensive evaluation of text generation models?
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