Run serve as a collective storage for each machine learning workload. A run represents a single machine learning execution within a project. The run results consist of logs, metrics, and files, which you can find under the corresponding tabs.

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Managing runs on web console

You can find a list of runs under each project page. You delve into the details of the run by clicking the name of the run.