thanks Martin, I was the one who raised this bug report. I think clearml should make sure that the parameter datatypes are not being changed when loading them up. I have also proposed a solution to the ultralytics YOLO team to take care of such issue. I hope that both the companies can work on this to resolve the issue

I tried the full path a well but its still giving some error. I realized that some of the hyper parameter has None values, and these are passed as string during the tuning process , which is causing the error. I tried replacing the none values and the error is vanished. However, there are a lot of None values in the hyper-parameters and some of them are supposed to be that way. Is there something I can do about it?

Tuesday base task was a yolo model which was trained on jupyter notebook. I have used the task id of this as base-task-id

yes, Im trying to run the tuning in the same jupyter notebook

yes, I am running the pipeline locally. I installed clearml-server and wanted to check its functionalities and was testing out optimization component

I just updated clearml to the latest version, I still get the same error.

I was referring the error which I was getting and realize that some of the hyperparameters that are autologged with cleaml doesnot exist in yolov8. ITs just a hunch, I might be wrong