Is this clear overfitting? The orange curve is train accuracy and blue is validation accuracy. Is this clear overfitting or should I let it run for more epochs?

With custom dataset (1D data with 70 features) I trained a 2 layer MLP. 
Network Architecture: [70-200-200-4].
I'm only able to reach ~50+% accuracy. Any suggestions on what steps I can take to improve accuracy? (Obtaining more data isn't an option)

Thanks in advance!
When training accuracy increases while validation accuracy remains constant or decreases, then the model is most likely overfitting, or it may be saturated.

You can try the following methods to increase accuracy:


Momentum
Regularization techniques: Early Stopping, Dropout, Weight Decay, etc
Synthetic Data and related techniques such as SMOTE
Ensembles