Precision: [tensor(0.2418), tensor(0.2310), tensor(0.2323), tensor(0.3930), tensor(0.5679)]
Output distance: [tensor(5.8225), tensor(5.8441), tensor(5.8414), tensor(5.5201), tensor(5.1704)]
Prediction loss: [tensor(2.0190), tensor(3.1019), tensor(3.1652), tensor(1.6740), tensor(3.8969)]
Others: [{'iter_num': 5, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 5, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 30, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 30, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 30, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}]
Compressed training loss: [tensor(87340.1953), tensor(89130.3984), tensor(89597.2188), tensor(81568.3906), tensor(74339.5000)]
Training loss: 0
Prediction time: [datetime.timedelta(microseconds=474222), datetime.timedelta(microseconds=477038), datetime.timedelta(seconds=2, microseconds=453930), datetime.timedelta(seconds=2, microseconds=449320), datetime.timedelta(seconds=2, microseconds=461821)]
Phi time: [datetime.timedelta(seconds=9, microseconds=489475), datetime.timedelta(seconds=9, microseconds=256305), datetime.timedelta(seconds=10, microseconds=436103), datetime.timedelta(seconds=10, microseconds=51854), datetime.timedelta(seconds=10, microseconds=301218)]
