Neptune.ai logger slow, lags behind training 
🐛 Bug

When running a script which trains multiple models after another, I came across the problem that the neptune.ai logger lags behind my training quite severely ( when the model has finished training, the logger is only about halfway there). This would not be such a big problem for me if the next model would start training while the logger still processes the logs of the previous model, but training continues only after the logger has finished.
I tried logging fewer things, only logging metrics per epoch and disabling hardware monitoring by uninstalling psutil. I don't know if this is really a bug, but even if it is not, is there maybe a way to bypass/mitigate this? Is this maybe related to the windows timing error from #1186 @jakubczakon?
To Reproduce
Steps to reproduce the behavior:

Use the neptune.ai logger (with Windows)
Log a metric


Expected behavior

The logger should keep up with training or continue logging previous models while another model is already being trained.