Deep Learning Regression with Admissions Data - MAE and loss graph Interpretation

Hi fellow students!

I’m working on a project - Deep Learning Regression with Admission Data using tensorflow.

Here is my github repo.

I’m unsure about how to interpret this graph.

‘Since the MAEs from train data and validation data have a big difference, I have to change my hyperparameters to make the graphs to move in a similar way’
→ is this a right approach? is making these two graphs similar even necessary considering that the r2 is high (r2=.73?

Thank you for your help!