Hi Jees,
let me try to make sure I understand your use case completely.
You have one model architecture and you initialized two models using it.
These two model were trained on two different datasets and converged.
Now you would like to “combine” all parameters of both models and create a single one.
Using this new single model you would now want to predict both datasets or just one of them?
Do both datasets contain the same classes or are the targets completely different?