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After completing a training run, the next step is to evaluate the updated model to measure performance changes and confirm improvements. In Oumi, this iterative loop (train, evaluate, refine) is crucual for building high-quality models. Each cycle helps you surface remaining gaps, improve your data, and make targeted updates based on measurable results. For more details, see: