This will be problematic because the heads are not compatible. In other words, you can fine tune the model and use the weights from one model in the other, but you still have the issue that the heads are different and cannot be mapped. So after fine tuning for sequenence classification, saving model, and loading that model in a MLM version of that architecture  the LMHead will not have pretrained weights.