Hello all!
I'm writing to express my gratitude for supporting such a great platform as ClearML, which I've been actively using lately. I'm running experiments based on YOLOv5, and this code is automatically sending various information to the ClearML server. However, as I conduct various experiments, the capacity is filling up quickly, and I'm wondering how to solve this problem without investing money. I have a few questions regarding this issue.
- Firstly, I would like to know if there is a function to delete and reload each experiment. I've noticed that I can clear each experiment through the reset button, but I don't want to clear important experiments that I may need to reload later. Is there a way to reload experiments that have been cleared once? Or is there a way to just reduce the capacity without making it clear?
- Secondly, I tried to delete a project including multiple experiments, but I received the message "UNABLE TO DELETE PROJECT." The full message read, "You cannot delete project "train_GT_b64" with un-archived experiments, dataviews or models. You have 16 un-archived experiments in this project. If you wish to delete this project, you must first archive, delete, or move these items to another project." I'm not sure how to proceed in this case. I didn't do achieve for each experiment, just clear. Do I need something more?
- Thirdly, I'm wondering how to reduce the size of each experiment. Currently, the YOLOv5 default setting is sending much more information to ClearML, which seems to be causing the capacity to fill up quickly. Do you have any tips on how to make the size of a single experiment smaller? For example, currently, I'm logging all of the information every iteration, is it better to log some information rather than all information? Also, I'm saving checkpoints at regular intervals, but does that count toward the capacity limit? It would be easy to reduce that if I could see which logs were taking up a lot of space in one experiment, but I don't know where to find out.
- Lastly, I'm not sure what features like "archive, publish, enqueue" mean or how to use them, can I get some information on that?
Thank you again for supporting such an excellent platform. I hope to continue using it well in the future.