Logistic regression with cross validation cv.glmnet() not giving me auc values?

Question

I have just started working with the glmnet package in R. I have s a dataset which has about 130,000 features and about 32000 rows of data. Here is the code to create the model

myModel = cv.glmnet(data.matrix(modelData), modelData$ACTION,
            family="binomial", type.measure="auc", nfolds=5, alpha=1)

My question is, is it possible to print the final auc for this model? Can someone provide any sample code?

Any help will be appreciated