Figure 3.
The image contains two side-by-side line charts illustrating model performance over training epochs. The left chart is titled Training and Validation Accuracy and shows two lines, one for training accuracy and one for validation accuracy. The horizontal axis displays epoch values from 0 to 9, while the vertical axis shows accuracy values ranging approximately from 0.45 to 1.0. Training accuracy increases steadily and approaches one, while validation accuracy rises initially and then fluctuates around the mid 0.6 range. The right chart is titled Training and Validation Loss and also plots values across the same epoch range on the horizontal axis. The vertical axis displays loss values ranging from near 0 to above 2. The training loss decreases sharply towards 0, while the validation loss decreases slightly at first and then increases steadily.Non optimal accuracy
Source: Figure by authors