[D] Keeping track of models and their associated metadata.

I am starting to accumulate a large number of models for a project I am working on, many of these models are old which I am keeping for archival sake, and many are fine tuned from other models. I am wondering if there is an industry standard way of dealing with this, in particular I am looking for the following:

* Information about parameters used to train the model
* Datasets used to train the model
* Other metadata about …

industry machinelearning metadata project standard