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Related Questions
- What is the purpose of using metrics like PER, F1-score, and ROUGE in text generation models?
- How does the PER metric evaluate the fluency of text generation models?
- What is the difference between F1-score and ROUGE in evaluating text generation models?
- Can you explain how ROUGE metric is used to evaluate the quality of text summaries?
- What are the benefits of using multiple metrics like PER, F1-score, and ROUGE in evaluating text generation models?
- How do text generation models with high F1-score and ROUGE metrics perform in real-world applications?
- What are some common challenges in using metrics like PER, F1-score, and ROUGE to evaluate text generation models?
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