Hey everyone! I have a quick question regarding scalar graphs in the dashboard.

When my model starts training, the loss values are very large and drop to the appropriate range within a few iterations. The problem is that because the range is so big, the graph looks like the attached screenshot. I know with tensorboard there's a button you can press to avoid this behaviour but I cann figure out how to do it with clearml.

I tried clicking auto-scale, reset axes or toggle spike-lines nothing changed. Is there a way to define a range or have it track these scalars after a few epochs / iterations?