> ## Documentation Index
> Fetch the complete documentation index at: https://wb-21fd5541-docs-1917.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# How can I log additional metrics after a run completes?

There are several ways to manage experiments.

For complex workflows, use multiple runs and set the group parameters in [`wandb.init()`](/models/track/create-an-experiment) to a unique value for all processes within a single experiment. The [**Runs** tab](/models/track/project-page#runs-tab) will group the table by group ID, ensuring that visualizations function properly. This approach enables concurrent experiments and training runs while logging results in one location.

For simpler workflows, call `wandb.init()` with `resume=True` and `id=UNIQUE_ID`, then call `wandb.init()` again with the same `id=UNIQUE_ID`. Log normally with [`run.log()`](/models/track/log/) or `run.summary()`, and the run values will update accordingly.

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<Badge stroke shape="pill" color="orange" size="md">[Runs](/support/models/tags/runs)</Badge><Badge stroke shape="pill" color="orange" size="md">[Metrics](/support/models/tags/metrics)</Badge>