Multi-Output Regression with Keras
You are in a regression setting, where accuracy is meaningless (it is meaningful only in classification settings).

Simply remove the metrics=['accuracy'] argument from your model compilation, so that model.evaluate returns the loss only (discard also val_acc).

See the SO thread What function defines accuracy in Keras when the loss is mean squared error (MSE)? for more details.