I am new to this MOOC and attempted to run lesson1 ipynb. I am aware that metrics will not be the same as in the video due to randomisation, but in the Resnet50 run’s 8th (last epoch) I am getting increased error_rate despite reduced losses (as shown in the screenshot below)
How should I proceed OR Do I need to make changes to the model (maybe reduce epochs)?
Hi Medha, and welcome. I appreciate your being alert to details of the lesson. Reducing the number epochs to get a lower error rate is certainly a valid strategy. It’s called “early stopping” in the machine learning field.
The phenomenon where training loss goes down while error rate goes up is a consequence of overfitting. It (and remedies) will be explained in later lessons.