Machine Learning, Sentiment Analysis, Vertex AI, Programming, Bert.
dataloader, loss_fn): model.eval() total_acc, total_count = 0, 0 with torch.no_grad(): for idx, (inputs, label) in enumerate(dataloader): predicted_label = model(inputs) loss = loss_fn(predicted_label, label) total_acc += (predicted_label.argmax(1) == label).sum().item() total_count +=