Hi JollyChimpanzee19 ,

From the UI you can choose 2 or more tasks and click the compare button, from the code you can use task.get_last_scalar_metrics() for getting the last results of a task as a dictionary. what do you think?

i have few models with final evaluation reported results and wish to compare between them

The Hyperparameter Optimizer can give you such table, but I’m not sure this is what you are looking for ( https://allegro.ai/clearml/docs/docs/examples/frameworks/pytorch/notebooks/image/hyperparameter_search.html and https://medium.com/pytorch/accelerate-your-hyperparameter-optimization-with-pytorchs-ecosystem-tools-bc17001b9a49 )

Hi JollyChimpanzee19 , what's the exact use-case?

is there any way to automatically get few last scalars (for example the loss in the picture) as a table rather than diff presentation? or i have to use the python code?