Can one use non converged results from Logistic Regression?
An iterative algorithm is said to converge when, as the iterations proceed, the output gets closer and closer to a specific value. More precisely, no matter how small an error value you choose, if you continue long enough the function will eventually stay closer than that error value from some final value.

In some circumstances, an algorithm will not converge; it could even diverge, where its output will undergo larger and larger oscillations, never approaching a useful result. More precisely, no matter how long you continue, the function value will never settle down within a range of any "final" value.

You could use the results which did not converge, but it's not recommended.