I think while a t-SNE plot might give you some information about the class separation, I think the training vs. validation losses should be better used to claim less overfitting.
t-SNE might output a lot of “good” and “bad” visualizations in my experience depending on the arguments you are passing to it, so I wouldn’t rely on its outcome regarding overfitting.