Use the scatter plot to compare multiple runs and visualize how your experiments are performing. We've added some customizable features:
Plot a line along the min, max, and average
Custom metadata tooltips
Control point colors
Set axes ranges
Switch axes to log scale
Here’s an example of validation accuracy of different models over a couple of weeks of experimentation. The tooltip is customized to include the batch size and dropout as well as the values on the axes. There’s also a line plotting the running average of validation accuracy. See a live example →
The best way to do this is to create a Scatter Plot of the metric, go into the Edit menu, and select Annotations. From there you can plot the running max of the values