How to check "test data" accuracy and plot them

I want to test the accuracy of 11000+ images. I split the data into two classes ,"Yes" and "No". Then ,split them into 80/20 in training set and test set respectively.

Then I split,the training data again into 80/20 for validation set.

I create "Yes" and "No" folder for each one,validation set, test set, training set.And keep the data in respective folders.

Now, I want to train the model in Google Colab.

After train the model, I want to test the "Accuracy" of the Test Data and plot them with, specificity, sensitivity, accuracy, loss_Function and recall.

Help need for this. Detailed help will be more appreciated.

Thanks in advance.