Spark ML not able to de-serialize Logistic Regression model saved in previous version of Spark

Logistic Regression model saved using Spark version 2.3.0 in HDI is not correctly de-serialized  with Spark 2.4.3 version. It loads into the memory but probabilities it emits on inference is like 1.45 e-44(to 44th decimal place approx equal to 0)