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 to a unique value for all processes within a single experiment. The 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 wandb.log or wandb.summary, and the run values will update accordingly.