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.Documentation Index
Fetch the complete documentation index at: https://wb-21fd5541-style-guide-support-models-articles-20260527-00.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Group multiple runs for complex workflows
For complex workflows, use multiple runs and set the group parameters inwandb.init() to a unique value for all processes within a single experiment. The 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, callwandb.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() or run.summary(), and the run values update.
Runs Metrics