Running Average of my accuracy, losses etc.
What is your question?
I want my tqdm logger to show me a history of my training on the terminal. Right now, when a epoch ends, all data for it is scrubbed from the command line and the new epoch data is shown.
Also I want to see the running accuracy of my network and a running average of my loss on the tqdm bar. How should I go on about doing that ?
What have you tried?
I have looked at the docs and logging but am unable to figure out how to modify the tqdm logger, more so maintain a running average
What's your environment?

conda version: latest
PyTorch version   : 1.3
Lightning version : pip install pytorch-lightning at the date of this issue
Test-tube version: came boot strapped with lightning.

I installed everything on the date of this issue.
Use tensorboard!
For running averages you have to implement the logic in training step