I am training a Ranking model with some basic numeric features and the target is either 0 or some value between 0-1.
So the model is training and just in 1 epoch it comes to a minimum loss and doesnot decrease more.
The main issue is observed when i predict with test data , i get all the predictions as 0. tried some changes in Layers but all leads to almost 99% values as 0
Where as same architecture when i trained using sequential model . its learning and getting atleast some values in prediction .
Not sure why with tfrs Ranking its some issue .
Hi,
I am training a Ranking model with some basic numeric features and the target is either 0 or some value between 0-1. So the model is training and just in 1 epoch it comes to a minimum loss and doesnot decrease more. The main issue is observed when i predict with test data , i get all the predictions as 0. tried some changes in Layers but all leads to almost 99% values as 0 Where as same architecture when i trained using sequential model . its learning and getting atleast some values in prediction . Not sure why with tfrs Ranking its some issue .