text: # We've copied the training loop from an earlier example, with updated model
  # code, above in the Setup section. We run the training loop to get a trained
  # model.
  model, dataset_reader = run_training_loop()
  
  # Now we can evaluate the model on a new dataset.
  test_data = list(dataset_reader.read("quick_start/data/movie_review/test.tsv"))
  data_loader = SimpleDataLoader(test_data, batch_size=8)
  data_loader.index_with(model.vocab)
  
  results = evaluate(model, data_loader)
  print(results)
  