write all data on training to training log

pairwise_compare.py

@@ -176,7 +176,6 @@ def training_entry():
             loss_fn.backward()
             opt.step()
 
-            if step % TRAIN_PROGRESS == 0:
             with torch.no_grad():
                 pred = (torch.sigmoid(logits) > 0.5).float()
                 acc = (pred == y).float().mean().item()