Tag experiments to filter and search according to hyper-parameters values

As a data scientist, I am often running a lot of different experiments to compare different architecture designs ou hyper-parameter settings which I monitor in tensorboard.
In order to differentiate and filter experiments in tensorboard, I'm giving long explicit names to my experiments such as "alois_text_and_image_lr_0001_bs_64_3_epochs..." but I cannot detail all the choices here and it's very painful to do.
What I would like to do is to tag an experiment with a config object in my code (can be a dictionnary or a YACS config) and be able to filter and search experiments in tensorboard according to some parameters values (instead of the textual search).

If this is not already implemented, I can find some time to help on the implementation.