9 docs tagged with "metrics"

By default, W&B does not log dataset examples. By default, W&B logs code and system metrics.

For example, I want to log training accuracy per batch and validation accuracy per epoch.

There are several ways to manage experiments.

Metrics collect by default every 2 seconds, averaged over a 15-second period. For higher resolution metrics, email contact@wandb.com.

Create a scatter plot of the metric. Open the Edit menu and select Annotations. From there, plot the running maximum of the values.

By default, wandb.init starts a process that syncs metrics in real time to the cloud. For offline use, set two environment variables to enable offline mode and sync later.

To optimize multiple metrics in a single run, use a weighted sum of the individual metrics.

To log specific metrics in each batch and standardize plots, log the desired x-axis values alongside the metrics. In the custom plots, click edit and select a custom x-axis.

When visualizing metrics against an X-axis other than Step, expect to see fewer data points. Metrics must log at the same Step to remain synchronized. Only metrics logged at the same Step are sampled while interpolating between samples.