Precision: [tensor(0.0226), tensor(0.0249), tensor(0.1279), tensor(0.1244), tensor(0.0249)]
Output distance: [tensor(6.2610), tensor(6.2562), tensor(6.0504), tensor(6.0572), tensor(6.2562)]
Prediction loss: [tensor(3.1501), tensor(2.1336), tensor(4.1570), tensor(4.2032), tensor(2.0825)]
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': 4, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}]
Compressed training loss: [tensor(88713.4062), tensor(87559.2656), tensor(74003.1406), tensor(74497.0938), tensor(87092.3750)]
Training loss: 0
Prediction time: [datetime.timedelta(microseconds=484736), datetime.timedelta(microseconds=499037), datetime.timedelta(seconds=2, microseconds=522681), datetime.timedelta(seconds=2, microseconds=446829), datetime.timedelta(microseconds=394249)]
Phi time: [datetime.timedelta(seconds=10, microseconds=336815), datetime.timedelta(seconds=10, microseconds=573646), datetime.timedelta(seconds=10, microseconds=476258), datetime.timedelta(seconds=10, microseconds=541297), datetime.timedelta(seconds=10, microseconds=384451)]
