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Dear Clearml Community,
I Am Looking For A Way To Properly Resume A Training In A Way That Initial Scalars Get Reused And Expanded. Clearml Feature For Reusing The Same Task Works Fine (When Using
Hi @<1523701205467926528:profile|AgitatedDove14> ,
That was exactly that! Thank you for the hint! ✅ My scalars now get pursued as they should when resuming a training from latest checkpoint! 🤩
Just one more question, do you have any idea about how I could change the x-axis label from "Iterations" to "Epochs" for some specific scalars only? I saw from " ClearML Doc > CearML Fundamentals > Logger > Types of Logged Results " that this should be effectively possible:
Scalars - Time series data. X-axis is always a sequential number, usually iterations but can be epochs or others.
I have checked ClearML code, among others the Reporter
and Logger
classes, but I can't find it in the code.
Thank you very much in advance for your help again! 🙏
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10 months ago
10 months ago