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Related Questions
- What are the assumptions made when using the F1-score for text generation models?
- How does the F1-score handle class imbalance in text classification tasks?
- Can the F1-score be used to evaluate the coherence and fluency of generated text?
- What are some common biases in the F1-score that can lead to inaccurate model evaluations?
- How does the F1-score account for the diversity of generated text?
- Can the F1-score be used to evaluate the performance of models on open-ended text generation tasks?
- What are some alternative evaluation metrics that can provide a more comprehensive view of text generation model performance?
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