Both RNN regression models (LSTM and GRU) predict the same value during evaluation but predicts normally during training
I am trying to train a regression RNN to predict the emotional valence (float between 1 and 5) from audio samples. Both LSTM and GRU models make normal predictions during the training loop, but when being evaluated, they always predict the same value.