A data scientist configures a Spark ML CrossValidator with a LogisticRegression estimator. The ParamGridBuilder specifies 3 values for regParam and 2 values for elasticNetParam. The CrossValidator is set with numFolds=4. After fitting completes, how many models are trained in total during the cross-validation process (excluding the final model refit on the full training data)?