is there a way to retrieve clearml error logs for situations like this?

this is how task gets created:

def create_clearml_task(
    project_name,
    task_name,
    script,
    args,
    docker_args="",
    docker_image_name="<docker image name>",
    add_task_init_call=True,
    requirements_file=None,
    **kwargs):
    print(
        "Creating task: project_name: {project_name}, task_name: {task_name}, script:{script} and args: \n {args}"
        .format(
            project_name=project_name,
            task_name=task_name,
            script=script,
 ...

sorry, not quite sure i understand - i am calling Task.init inside main. my plots loads on clearml correctly for the first few hours or so, but freezes after that

all of the experiments for this particular project behave like this,
the console works fine and im still able to view debug images
Task.init() is called in main of the training script with user-specified project and taskname

i see

this is what it said on the console when i tried to load it