Hi GrittyHawk31 , can you elaborate on what you mean by metadata? Regarding models you can achieve this by defining the following in Task.init(output_uri="<S3_BUCKET>")

like some details about attributes, dataset size, formats. here when we define output_uri in task_init in which format the model would be saved? CostlyOstrich36

like some details about attributes, dataset size, formats.

Can you elaborate on how exactly you'd be saving this data?

here when we define output_uri in task_init in which format the model would be saved?

It depends on the framework I guess 🙂

Basically the model versions, training results, the things that are saved in mongodb, can we get those data to a s3 bucket in any format? CostlyOstrich36