It did update but I'm beginning to see the issue now. It seems like the metrics on thousands of experiments amounted to a few MB where deleting one of the hyperparameter experiments freed up over a gig. I'm having difficulty seeing why one of these experiments occupies so much metric space. From the hyperparameter optimization dashboard the graphs and the tables might have a few thousand points.
Can you help me:
- Better understanding why it's occupying so much metric storage space
- Is there a better way to minimize that in the future?
Thanks!
Hi @<1545216070686609408:profile|EnthusiasticCow4> ,how long after deleting the data did you check the usage again?
Hi @<1523701087100473344:profile|SuccessfulKoala55> - We tried to delete some additional hyperparameter tunings but it doesn't seem to have impacted metrics stored. It's not clear to me what is occupying all the metric storage space.