Precision: [tensor(0.1252), tensor(0.0336), tensor(0.0297), tensor(0.0231), tensor(0.1281)]
Output distance: [tensor(6.0557), tensor(6.2389), tensor(6.2468), tensor(6.2599), tensor(6.0499)]
Prediction loss: [tensor(4.1803), tensor(1.8745), tensor(1.9693), tensor(2.1640), tensor(4.2164)]
Others: [{'iter_num': 2, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 2, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 2, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 2, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 3, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}]
Compressed training loss: [tensor(74214.1094), tensor(82277.3906), tensor(83614.8984), tensor(87234.0625), tensor(74350.0703)]
Training loss: 0
Prediction time: [datetime.timedelta(microseconds=385810), datetime.timedelta(microseconds=351724), datetime.timedelta(microseconds=361783), datetime.timedelta(microseconds=360656), datetime.timedelta(microseconds=511708)]
Phi time: [datetime.timedelta(seconds=10, microseconds=743717), datetime.timedelta(seconds=24, microseconds=287295), datetime.timedelta(seconds=26, microseconds=951868), datetime.timedelta(seconds=9, microseconds=600563), datetime.timedelta(seconds=10, microseconds=676313)]
