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Related Questions
- What is the F1-score and how is it related to a text generation model's performance?
- How does a low F1-score indicate overfitting in a text generation model?
- What are some common reasons why a text generation model may not generalize well to new, unseen data?
- Can a low F1-score be caused by a lack of diversity in the training data?
- How can a text generation model's performance be evaluated on new, unseen data?
- What is the difference between overfitting and underfitting in the context of text generation models?
- How can a text generation model be fine-tuned to improve its generalization to new, unseen data?
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