You could either find a way to fix your algorithms...

I can't...the calculations are not performed by my module, they use Data::CosineSimilarity

if you decide that this loss of precision...

In every use case I'm aware of, precision isn't needed in Embeddings. Rather, they are rated in order from "1" (highest similarity) to "-1" (lowest similarity) to match the same meaning in the text being evaluated.

So, from a use case the test failure is not an issue. But it doesn't strike me as good practice to publish tests that fail...