The second trend is that by using less than 50% of the data available the model tends to overfit the data, as indicated by the consistent increase in the validation loss after about 15 epochs (check dashed lines in right side of Figure FIGREF28 ). 
 Question: What experimental results suggest that using less than 50% of the available training examples might result in overfitting?
consistent increase in the validation loss after about 15 epochs