Not sure exactly if this is overfitting. Validation loss didn’t increase by that much. You should run this for longer and see if the validation loss increases further.
One way to reduce overfitting in transfer learning is to freeze the initial layers and then train your network. In the case of ResNet, you can freeze the conv1, conv2, and conv3 layers and see if that helps.