ThankfulClams64 , there is a difference between models & tasks/experiments. Everything during training is automatically reported to the task/experiment, not the model. If you want to add anything to models themselves you have to add it manually. (Keep in mind that taks/experiments are separate entities from models, although there is a connection between the two)
Once you manually add either metadata or metrics you will be able to add custom columns. This is not a bug.
How do you get answers to these types of questions? As far as I can tell model registries is broken, and there is no support through the actual application
Do the metrics not get added from the training? I did not add any metadata data but I assumed you would be able to select metrics from the training that generated the model
Hi,
Usually it means that there are no metrics or metadata existing in the current project (none of the models has metadata).
Is it available in different projects?
If you add a metadata key in one model from the table, do you see it in custom columns?