Spectrogram into Transfer Learning

New to Pytorch!
I am currently working on a project where i am trying to classify ECG Signals. I am using the 2017 Physionet dataset. My approach is converting the 1D signals into 2D spectrograms and using Transfer learning, but i am not getting accuracy better than 72 percent? Any help on how to increase the accuracy on this?