Hello,
I’m struggling to achieve the following:
In TensorBoard I can only differenciate multiple runs by ID, as the comment is truncated, so the hyperparameters are mostly not shown.
For example:
42afef82 my_model:train 2022-08-23 02:02:04 architecture=DenseNet-121 batch_size=24 classes=14 comment='DenseNet/experiments/lightning_logs/version_0
In this example, the hyper-parameter dropout is not visible.
Now, what I would love to do is to compare specific runs, e.g. all runs with dropout=0.1, in TensorBoard.
Based on the docs AFAIK the only possibility is to filter the runs by tag and then run TensorBoard specifically for these runs, instead of using guild view → click on TensorBoard → filter inside TensorBoard.
Therefore, my question is: how do I tag/label multiple runs?
I discovered, that I can display all dropout=0.1 runs using:
guild runs list --list-all -Fl=dropout=0.1
However, running guild runs tag -Fl=dropout=0.1 -a dropout=0.1 tags only one run.
Furthermore, I also want to tag runs where dropout wasn’t a hyper-parameter but hardcoded. How do I select those? Is there something like a negative lookaround?
Thanks!
Cheers,
Alessandro