Hi, I am implementing RCNN for emotion classification in text. I am using Bi-directional LSTM then apply max-pool to get dominant features and pass it to the FC layers for classifying. Right now I am stuck at a point after achieving accuracy 83 my model gets stuck at that point. Accuracy and loss doesn’t change after that. I have attached an image of performance. Kindly suggest me anything that would help. Thank you.
Optimizer: SGD
Loss: Focal Loss