In the context of model validation, what is the purpose of learning curve? $($Multi Choice$)$

$1)$ To diagnose potential underfitting or overfitting issues

$2)$ To visualize the change in training and validation errors over epochs

$3)$ To plot the performance of the model as a function of the number of training iterations

$4)$ To monitor the convergence of the training process

$5)$ evaluate the impact of different hyperparameters on model performance