Hi all,
I am trying to train my model but I am having difficulties as to get validation, accuracy right.
The accuracy of the model changes depending on the size of batch, the lower the batch size is the more accurate it gets. Perhaps my accuracy method is not correct. For instance, I get 100% accruacy for 10 batch size, but if I increase to 64 then it would go down to 5%, so there must be something wrong here.
My model(LSTM) is for binary classification for a time-series data; datasets are imbalance, meaning that I do not have a constant length of the dataset as well as there are more 0’s than 1’s, approximately 110:1.
Furthermore, I don’t quite know how to improve my training as the loss is quite big (~0.9).
Here I attach links for cells:
Neural Network Model (LSTM) 7
Training Structure 3
Any comments will be greatly appreciated!
Thanks!