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Hi, I Am Trying To Report The Validation Accuracy And Loss Values To The Dashboard. Do I Need To Manually Log These Values Or Is There Any Other Way To Do It? How Can I See These In A Plot In The Dashboard?

Hi, I am trying to report the validation accuracy and loss values to the dashboard. Do I need to manually log these values or is there any other way to do it? how can I see these in a plot in the dashboard?

Posted one year ago
Votes Newest

Answers 2

Thank you very much. ExasperatedCrab78

Posted one year ago

Hi GrittyHawk31 ! ClearML is integrated with a bunch of frameworks from which it tries to automatically gather information. You can find a list here: https://clear.ml/docs/latest/docs/integrations/libraries

For example, if you're already reporting scalars to tensorboard, you won't have to add any clearml code, it will automatically be captured. The same will happen with e.g. LightGBM. Take a look at the example codes in the link to find what is automatically supported for your framework.

Manually adding a scalar is of course possible too and very easy:
` # set up the experiment manager
from clearml import Task
task = Task.init(project_name=x, task_name=y)

... Your code ...

task.get_logger().report_scalar(...) Reporting a scalar will automatically plot it for you in the webUI. More info about report_scalar() ` here: https://clear.ml/docs/latest/docs/references/sdk/logger#report_scalar

Posted one year ago
2 Answers
one year ago
10 months ago