Difficulties in using .dist and pm.Potential for inference

Something’s wrong anyway. The result has not been changed but there are messages about divergences

Sampling 4 chains for 3_000 tune and 1_000 draw iterations (12_000 + 4_000 draws total) took 39 seconds.
INFO:pymc:Sampling 4 chains for 3_000 tune and 1_000 draw iterations (12_000 + 4_000 draws total) took 39 seconds.
There were 50 divergences after tuning. Increase `target_accept` or reparameterize.
ERROR:pymc:There were 50 divergences after tuning. Increase `target_accept` or reparameterize.
There were 65 divergences after tuning. Increase `target_accept` or reparameterize.
ERROR:pymc:There were 65 divergences after tuning. Increase `target_accept` or reparameterize.
There were 48 divergences after tuning. Increase `target_accept` or reparameterize.
ERROR:pymc:There were 48 divergences after tuning. Increase `target_accept` or reparameterize.
There were 59 divergences after tuning. Increase `target_accept` or reparameterize.
ERROR:pymc:There were 59 divergences after tuning. Increase `target_accept` or reparameterize.

Personally, I can’t interpret this message:

NUTS: [μ, σ, log_norm]
INFO:pymc:NUTS: [μ, σ, log_norm]

What is that value of log_norm there? But probably I am not aware of something