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Related Questions
- What are the primary causes of a low F1-score in text generation models?
- How does a low F1-score impact the accuracy and reliability of generated text?
- Can a low F1-score affect the model's ability to generalize to new, unseen data?
- What are some strategies to improve the F1-score of a text generation model?
- How does the F1-score relate to other evaluation metrics, such as precision and recall?
- Can a low F1-score indicate a problem with the model's training data or algorithm?
- What are the consequences of deploying a text generation model with a low F1-score in a production environment?
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