Hey @<1523701087100473344:profile|SuccessfulKoala55> ,

thank you for your quick answer.

the code for the optimization task is nearly similar to the clearml example: None
Instead of the parameter name "template_task_id", I use "taskIdTrainYolov5".

In my pipeline I added the following step:

pipe.add_step(
    name="hyper_parameter_optimization_search_yolov5",
    parents=['train_yolov5'],
    base_task_project='***',
    base_task_name='Hyper-Parameter Optimization Models 1 Yolo5',
    execution_queue='task',
    parameter_override={
        'General/taskIdTrainYolov5': '${train_yolov5.id}',
        'General/pipeline': '${pipeline.pipeline}',
        'General/devMode': '${pipeline.devMode}',
    }
)

As you can see, I hand over the ID of the previouse pipeline step as the value for the parameter "taskIdTrainYolov5".

Inside the optimization task I print out the arguments and I can see, the right value for "taskIdTrainYolov5" is provided.