Hi IdealGorilla64 , can you please provide a screenshot? How much smaller than 200 have you tried. And finally which version of ClearML are you using? 🙂

Thanks for the swift reply btw 🙂

When the number of logged losses/metrics is around 80, everything works smoothly

Yes, self-hosted version
WebApp: 1.3.0-165 • Server: 1.3.0-165 • API: 2.17

Hi there, I am using v.1.3.2

Here is a screenshot, it seems that the metrics are not logged as they don’t appear in the “Toggle” window

Thanks will try that!

I recall a big fix to plots in server version 1.6.0, can you try upgrading to see if it fixes the issue?

I'm not sure. Maybe TimelyPenguin76 can elaborate.
Looking at the docs for:
https://clear.ml/docs/latest/docs/references/sdk/task#get_reported_scalars

I can see it has a max_samples argument

TimelyPenguin76 can you assist?

CostlyOstrich36 TimelyPenguin76 any updates in here?

I am using v.1.3.2

The SDK I assume.

Is this a self hosted version? What is the server version?

StormyLeopard75 has helped me reproduce this unexpected behaviour

Just a quick update on this. I have tried simulating my issue using the API and it seems that get_reported_scalars has an upper-limit of 100, whereas get_last_scalar_metrics returns all the logged metrics (200 in the example below)

Hello CostlyOstrich36 ! I tried to use the max_samples argument but it didn’t help since all scalars are returned in its default value (0).

Could this be an issue/bug CostlyOstrich36 ?