How to get accuracy for each class in training dataset, testing dataset and validation dataset and overall accuracy

I have trained a neural network and the confusion result is as shown in figure. I want to extract the detailed results in each line <not as an figure> as:

Accuracy of training confusion matrix for class 1= 100%

Accuracy of training confusion matrix for class 2= 100%

Accuracy of training confusion matrix = 100%

Accuracy of validation confusion matrix for class 1= 97.9%

Accuracy of validation confusion matrix for class 2= 99.5%

Accuracy of validation confusion matrix = 98.7%

Accuracy of test confusion matrix for class 1= 97.1%

Accuracy of test confusion matrix for class 2= 99.6%

Accuracy of test confusion matrix = 98.3%

Overall accuracy for class 1 = 99.2%

Overall accuracy for class 2 =99.9%

Overall accuracy = 99.6%

Thank you so much!