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results/output/output.txt

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+PredictionOutput(predictions=array([[-2.3132317 ,  4.248802  , -1.7789735 ],
+       [ 2.1847813 , -2.8792734 ,  0.12165037],
+       [-2.7687533 , -0.5294656 ,  2.2465725 ],
+       ...,
+       [-1.4268643 , -2.7873724 ,  3.2080243 ],
+       [-0.053789  ,  1.3824667 , -1.916969  ],
+       [ 3.2297757 , -2.5666943 , -1.1765741 ]], dtype=float32), label_ids=array([1, 0, 2, ..., 2, 1, 0]), metrics={'test_loss': 0.4232962727546692, 'test_accuracy': 0.8401291885345176, 'test_f1': 0.8402719548154258, 'test_runtime': 19.8748, 'test_samples_per_second': 249.26, 'test_steps_per_second': 15.598})