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Related Questions
- What are the common metrics used to evaluate the performance of a fine-tuned language model?
- How do accuracy, precision, and recall relate to each other in the context of fine-tuning a language model?
- What is the F1-score and how is it calculated in the context of fine-tuning a language model?
- Can you provide examples of how to use F1-score, precision, and recall to determine the optimal amount of fine-tuning?
- What are the trade-offs between accuracy, precision, and recall in fine-tuning a language model?
- How does the choice of evaluation metric affect the optimal amount of fine-tuning?
- What are some common pitfalls to avoid when using metrics such as accuracy, precision, and recall to determine the optimal amount of fine-tuning?
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