Max Size for Embeddings on Tabular Data

I have a large dataset and I think my embeddings are preventing me from adding additional features. Is there a way to make a max of 50? (Some seem to have 487 or 600)

I see that I can alter embeddings individually by name with
emb_szs={‘name’: 10}, So alternatively I could go per line but, I can’t see the name associated with the embedding in learn.summary(). Any suggestions?

Code and example below: