Summary metrics are single-value measurements recorded for an experiment run or evaluation. They provide concise indicators such as final testaccuracy, average loss, or aggregate performance for comparison and reporting.
Summary metrics are a single value for each metric key in an experiment run. For example, the testaccuracy of an experiment is the accuracy calculated against a test dataset at the end of training that can be captured as a single value summary metric.