Hi guys, I have many questions to ask, sorry if this questions were posted already - if the answer exist, please, point me to it. Thank you for your help.
I'm training object detection model using TF 2.3 Object Detection API and use ClearML on local server (1 GPU). What I need:

1. Run several tasks sequentually . I've run one task (I've inserted ClearML code in model_main_tf2.py and ran it in command window), cloned it and marked as pending to be executed next in the queue. But after 1st task finished, the second task didn't started - i had to start is manually from command window. How can I make the new task start automatically?
2. Accuracy and losses are not logged. So far I understand, these params should be logged automatically. The only parameters logged are gpu/cpu/memory load. What's wrong?
3. I can't see learning rate/optimizer/IOU thresholds, etc. (other params, which can be set in model config file) among hyperparams in task->configuration->hyperparameters menu. Also, how can I set these hyperparameters for optimization using Optuna?
4. In the following article: https://medium.com/swlh/construction-feat-tf2-object-detection-api-4465a3937c87 data management tool and annotation preview is mentioned. Are these proprietary developed tools for ClearML, or data management and annotation preview can be also found in ClearML?

Thanks.