Machine Learning, AI, NLP, Programming, Deep Dives.
are synthetic, the typical signs of overfitting might be unclear. Keep an eye on the accuracy and loss for both the training and evaluation datasets. I.e. very low training and validation loss, along with too stellar evaluation metrics could be a sign of overfitting. But remember binary classes