Have a trouble when training model

Hello everyone, I’m currently learning about ML and am impressed with computer vision, so I’m doing a small project using CNN to identify whether plants are sick or not. However, when training, I’m having problems.I think It’s overfit, pls help me
colab link:

linked dataset: Kashmiri Apple Plant Disease Dataset | Kaggle

I am confused. What does that mean?

sorry my bad,it doesn’t make sense

The data set is pretty small. And it looks like the model is overfitting the training set.

You already do “dropout.”

Maybe also try

  • augmentation to increase the dataset size
  • stop early. You have 150 epochs. It’s worth trying range(10, 100, 10). For ex. @epoch 100 the accuracy is already > 90%