> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wandb.ai/llms.txt
> Use this file to discover all available pages before exploring further.

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

To add metrics to a run that has already finished, W\&B offers several approaches depending on the complexity of your workflow. The following sections describe two patterns to continue logging to an existing experiment.

## Group multiple runs for complex workflows

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) groups the table by group ID so visualizations work as expected. This approach enables concurrent experiments and training runs while logging results in one location.

## Resume a run for simpler workflows

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 as usual with [`run.log()`](/models/track/log/) or `run.summary()`, and the run values update.

***

<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>