I am using an AlexNet architecture as my Convolutional Neural Network. A learning rate of 0.00007 and 128 batch_size. I have 20000 data and 10% test, 40% validation, and 50% for training. I used 100 epochs to train my network and here are my results for Loss and Accuracy. I would like to ask how can I get closer validation and training loss in these plots? At first, I guess the number of epochs was not enough, but I tried more epochs and my results didn't change. Can I say my training process is complete with this distance between train and validation loss? Is there any way to have closer loss plots?

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