If setting all seeds doesn’t help, you would have to check, if your model uses one of the mentioned methods from the linked doc.
By “stable” I meant that your model would converge 10 out of 10 runs with a small delta in the final loss and accuracy for different seeds.
“Unstable” training would depend on the seed as a hyperparameter.