If training loss decreases but validation performance becomes worse, this may indicate overfitting.

The model’s performance on validation or test data is guaranteed to improve.

A higher epoch number always means the final model is better.

The training loss may generally decrease during training, but it is not guaranteed to decrease perfectly at every single step.

The risk of overfitting may increase, especially if the model keeps fitting patterns that are specific to the training data.

The training process will usually take longer to run.