Hi,
thanks for the prompt reply, AgitatedDove14 . Here are some more details:
I am executing locally (i.e. I set args['run_as_service'] = False as in https://github.com/allegroai/clearml/blob/400c6ec103d9f2193694c54d7491bb1a74bbe8e8/examples/optimization/hyper-parameter-optimization/hyper_parameter_optimizer.py#L45 ). Everything was fine until some network issues occurred and my task was aborted, When I restart it, I see these double configurations in the UI.
However, I've just noticed that the same happens when I set args['run_as_service'] = True.
It isn't reproducible. I had a stupid typo in my script parsing the arguments twice. Thanks anyways, you got me on the right track! :)
Is this reproducible with the hpo example here:
https://github.com/allegroai/clearml/tree/400c6ec103d9f2193694c54d7491bb1a74bbe8e8/examples/optimization/hyper-parameter-optimization
What's your clearml version? (And is it possible you verify with the latest version?)
Hi GreasyLeopard35
I try to resume a stopped or aborted parameter optimization experiment,
How are you continuing the HPO? are you runing everything locally? is this with an agent? are you seeing the '[0, 0]' value on the configuration when launching the HPO or when continuing it ?