Machine Learning, Sentiment Analysis, Vertex AI, Programming, Bert.
label) in enumerate(dataloader): optimizer.zero_grad() predicted_label = model(inputs) loss = loss_fn(predicted_label, label) loss.backward() optimizer.step() total_acc += (predicted_label.argmax(1) == label).sum().item() total_count += label.size(0) if idx % log_interval == 0: elapsed =