Hello Teo,
As per my understanding, you want to know how the validation accuracy is calculated after training is completed and also the reason for difference in final and intermediate validation accuracies.
The validation accuracy shown in the plot is often calculated during the training process using a separate validation dataset to evaluate the performance of the model during training. It is usually observed that, the training accuracy is lesser than the validation accuracy. The final validation accuracy is calculated after the last iteration when the network's statistics are updated.
Possible causes for this anomaly and calculation processes involved are discussed in the following attached questions on the forum.
- https://www.mathworks.com/matlabcentral/answers/2015506-the-difference-of-best-validation-point-and-final-point-at-training-process-plot
- https://www.mathworks.com/matlabcentral/answers/1615045-validation-accuracy-for-cnn-showing-different-than-in-the-plot
Hope this helps!
