Hello everyone, When I run my model, it gives me the following result, my accuracy in training increases, and the error in training decreases, but when I validate, it does not increase or decrease. Can someone guide me? Epoch 0/19 ---------- train Loss: 0.2080 Acc: 0.9127 val Loss: 1.9388 Acc: 0.…

The model takes a long time in the training phase (3 - 4 days), because it is not really managing to learn, it is necessary to make an extraction of characteristics and a selection of them, then when you already have the most significant ones, convert them to images I finally decided to use Continuo…

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Accuracy and Loss validation stuck

Ivan_A (Ivan A) November 24, 2020, 5:50am 3

How to Prevent Overfitting

How do you prevent overfitting when your dataset is not that large? My dataset consists of 110 classes, with a total dataset size of about 20k images. I have tried data augmentation by a factor of about 16x, but it does not help too much with overfitting. Right now, with my augmented dataset, at epoch 8, I am getting a testset Top1 accuracy of 45% but a trainset Top1 accuracy of 69%.

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