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Related Questions
- What are some common metrics for evaluating the robustness of a language model on unseen data?
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- What are some metrics for measuring the model's performance on out-of-distribution data with shifting distributions?
- What are the challenges in evaluating a model's performance on out-of-distribution data?
- What are some common pitfalls to avoid when evaluating a model's performance on out-of-distribution data?
- How can I use metrics such as calibration and out-of-distribution error to evaluate the model's performance?
- What are some techniques for detecting when a model is overconfident on out-of-distribution data?
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