Ah, got you 👍 I'll check that again - I think it's training accuracy

Hi @<1614069770586427392:profile|FlutteringFrog26>
So since you have the Task id. you do:

task = Task.get_task("task id here")

Then to get the models

models = task.models["output]

the models is a list And a dict, if you want the lats one you do last_model = models[-1] if you know the best model name you do model = models["best model"] (notice the model name is the exact one you see in the UI. Once you have the model object you can get a copy with model.get_local_copy()

Thanks, @<1523701205467926528:profile|AgitatedDove14> ! And how do I identify which one is the best model in the ClearML web app?

well that depends on you, what did you write there to know it is the best one ? file name ? added some metric ?

Thanks