812ddc9595195887b7574512bd1021743354b064,examples/text_classification/train.py,,train_and_valid,#Any#Any#Any#Any#,54

Before Change

            loss.backward()
            optimizer.step()
            processed_lines = i + len(data) * epoch
            progress = processed_lines / float(num_lines)
            if processed_lines % 1024:
                sys.stderr.write(
                    "\rProgress: {:3.0f}% lr: {:3.3f} loss: {:3.3f}".format(
                        progress * 100, scheduler.get_lr()[0], loss))

After Change

            optimizer.step()
            processed_lines = i + len(train_data) * epoch
            progress = processed_lines / float(num_lines)
            if processed_lines % 128 == 0:
                sys.stderr.write(
                    "\rProgress: {:3.0f}% lr: {:3.3f} loss: {:3.3f}".format(
                        progress * 100, scheduler.get_lr()[0], loss))

Instances