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Related Questions
- What are the implications of a low F1-score on the overall performance of a text generation model?
- How can imbalance in the class labels affect the F1-score of a text generation model?
- What are some common causes of overfitting in text generation models and how can they be addressed?
- How can a low F1-score indicate that a text generation model is not generalizing well to new, unseen data?
- What are some techniques to handle class imbalance in text generation models to improve the F1-score?
- Can a low F1-score be an indicator of model underfitting, and if so, how can it be addressed?
- How does the F1-score relate to the accuracy of a text generation model, and what are the implications of a low F1-score on model accuracy?
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