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Related Questions
- How do different evaluation metrics, such as perplexity, ROUGE, and BLEU, influence the selection of hyperparameters in a text generation model?
- Can you explain the impact of using a single evaluation metric versus an ensemble of metrics on hyperparameter tuning?
- How do metrics like perplexity and ROUGE trade off between fluency and accuracy in text generation models?
- What are the implications of using metrics like BLEU and ROUGE on the evaluation of abstractive versus extractive text generation models?
- How do hyperparameter tuning algorithms, such as grid search and random search, interact with different evaluation metrics?
- Can you discuss the role of evaluation metrics in avoiding overfitting and underfitting in text generation models?
- What are the implications of using metrics like perplexity and ROUGE on the evaluation of text generation models in different domains, such as news and stories?
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