The training loss stays constant and the validation loss stays on a constant value and close to the training loss value when training the model.

The training loss decreases while the validation loss increases when training the model.

The training loss stays constant and the validation loss decreases when training the model.

The training loss increases while the validation loss decreases when training the model.