Precision: [tensor(0.5561), tensor(0.2300), tensor(0.2379), tensor(0.2313), tensor(0.2428)]
Output distance: [tensor(5.1940), tensor(5.8462), tensor(5.8304), tensor(5.8435), tensor(5.8204)]
Prediction loss: [tensor(3.8572), tensor(1.9641), tensor(2.0483), tensor(2.0511), tensor(1.9889)]
Others: [{'iter_num': 6, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 5, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 6, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 6, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 5, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}]
Compressed training loss: [tensor(74240.2969), tensor(86761.1484), tensor(87628.1406), tensor(87554.2812), tensor(87109.9531)]
Training loss: 0
Prediction time: [datetime.timedelta(microseconds=584276), datetime.timedelta(microseconds=476566), datetime.timedelta(microseconds=573477), datetime.timedelta(microseconds=606303), datetime.timedelta(microseconds=466979)]
Phi time: [datetime.timedelta(seconds=10, microseconds=256185), datetime.timedelta(seconds=10, microseconds=280882), datetime.timedelta(seconds=9, microseconds=571850), datetime.timedelta(seconds=10, microseconds=308148), datetime.timedelta(seconds=10, microseconds=290009)]
