num_epochs = 50for epoch in range(num_epochs): model.train() total_loss = 0 for batch in train_dataload: content, score = batch optimizer.zero_grad() output = model(content) loss = criterion(output, score) loss.backward() optimizer.step() total_loss += loss.item() print(f'Epoch {epoch+1}/{num_epochs}, Loss: {total_loss/len(train_dataload)}')이렇게 만들어봤습니다. 그런데Epoch 1/50, Lo..