How to model Beta distribution with a given prior

Hi,
I think your the Beta will have a hard time modeling your data, as they are super close to zero, which the Beta’s lower bound.
Maybe I’d transform the data so that they span a larger range, like [-1, 1], and use a Normal likelihood. You can also see if log-transforming or exponentiate the data would help?