Hello! I'M Trying To Make A Simple Eval.Py Script That Will Go Pull The Best Model Of A Given Experiment, Load It Locally And Evaluate It On Whatever Data I Give. Question 1: Is There A Standard Way Documented Somewhere To Do This? Question 2: I'M Loadin

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Oh that makes sense.
So now you can just get the models as dict as well (basically clearml allows you to access them both as a list, so it is easy to get the last created, and as dict so you can match the filenames)
This one will get the list of models
print(task.models["output"].keys())Now you can just pick the best one
model = task.models["output"]["epoch13-..."] my_model_file = model.get_local_copy()

  				
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2 years ago

one year ago