[Q] What happend if no metric and goal are set in the sweep config with a random search strategy? about wandb

[thanos-wandb]

Hi @bessinz, thank you for writing in. The metric/goal keys are used in Bayesian search, as detailed here: https://docs.wandb.ai/guides/sweeps/sweep-config-keys#bayesian-search. They serve as an objective function to be optimized. For random search, it isn't necessary to provide a metric. However, if you are interested in a particular metric, you can provide it, as it can be later used to retrieve the best run of a sweep from the API: https://docs.wandb.ai/guides/track/public-api-guide#get-the-best-run-from-a-sweep. Let me know if you had any more questions about it.

[bessinz]

Hi @thanos-wandb, thank you for your explanation. So if I don't use it in my sweep config, I still can identify the best hyperparameter config according to one of the several metrics in output? I am using YOLOv8 architecture so I have precision, recall, mAP50 and mAP50-95 metrics that appear in the sweep output when plotting the sweep comparer (with the parallel coordinates tool in wandb api).

[thanos-wandb]

Hi @bessinz indeed, for random search you won't need to specify it, and you should be able to identify the best metric either from the UI (eg in parallel coordinates panel) or from the API as follows:

best_run = sweep.best_run(order='-summary_metrics.mAP50')
best_run.summary.mAP50

Please note the -/+ in the order depending if you wanted to sort the metric as ascending/descending respectively. I hope this helps! Let me know if you had any more questions.