You are working on a binary classification problem and have trained a model using a grid search with cross-validation. The grid search is searching over two hyperparameters, 'C' and 'kernel', with 'C' having 3 possible values and 'kernel' having 2 possible values. How many models will be trained during the grid search and cross-validation process?