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Models → Model Training lists every training run in your workspace, whether you started it from Models, from Events → Training settings, or a scheduled retrain started it for you.

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Recent jobs

The header counts total, completed, in-progress and failed runs. Each row shows the run, when it started and how long it took, and its status. Refresh updates the list. Select a run to open its details: Stop job cancels a run that is still in progress.

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Metrics

Runs are graded on data held back from training, so the scores reflect how the model would have done on real behaviour it had not seen. Each metric is marked Good or Needs improvement against typical values.

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Compare runs

Tick two or more completed runs to compare their metrics side by side. Runs trained in the same batch share a data snapshot and are directly comparable. Runs from different snapshots are flagged: treat their differences with caution, because the data they were graded on is not the same.

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What happens next

A finished run produces a model version in Your models on the Models page. From there you deploy it to a context, or let scheduled retraining promote it if it beats the live model.