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This sounds a lot like your own image data lake pattern. Raw, transformed, curated, published images. On cheap storage. How do you track the models, versions and what inputs / parameters affected the model? How are outcomes measured / what metrics would you review?
Metrics part II: The point is that validation loss can change for a variety of reasons and not be comparable across experiments, but these metrics remain stable. That, and they're a way to double check to make sure progress is actually being made.
