After running trainer.predict(dataset) , the output is:
PredictionOutput(predictions=None, label_ids=None, metrics={'test_loss': 1.8579237461090088, 'test_runtime': 0.1819, 'test_samples_per_second': 549.649, 'test_steps_per_second': 21.986})
So, we know that my dataset should have labels for the accuracy to be measured. My question is: How should I add the labels?