I will first suggest using a lower learning rate (ex: 0.01/0.001). If MSE still diverge, than try to normalize the predictions and targets (divided by 60). If both doesn’t work, then you could train a model with smaller dataset(5%-10%), and see if you could overfit it. If you couldn’t, then your model might be wrong.