It’s me again, I’ve made suggested corrections, but unfortunately the network still doesn’t learn anything, and now it started to classify all observations to class 0, which has resulted in even worse accuracy. I’ve used binary_cross_entropy_with_logits as loss function, with one dimension of outputs of last linear layer of the network without passing it into sigmoid function, but directly to loss function