what I see now is just default scalars https://gyazo.com/7c1ab49fc948351009c78c9d30ebf432

the scalers are gathered
metrics = {'recall': recall, 'precision': precision, 'f1': f1} for key in metrics: logger.report_single_value(name=key, value=metrics[key])

great, thank you!

TimelyMouse69 also I'm wondering how to do the following:
I'm traing a model with pytorch. If I turn off the logging by
auto_connect_frameworks=FalseI will not be able to track standard pytorch scalars like loss and lr . How to turn off storing artifacts and keep tracking scalars?

TimelyMouse69 there is a typo in a auto_connect_framworks parameter name https://clear.ml/docs/latest/docs/clearml_sdk/task_sdk/#automatic-logging