Precision: [tensor(0.2061), tensor(0.1628), tensor(0.5582), tensor(0.5697), tensor(0.5660)]
Output distance: [tensor(5.8939), tensor(5.9806), tensor(5.1898), tensor(5.1667), tensor(5.1741)]
Prediction loss: [tensor(1.9980), tensor(1.9729), tensor(3.8501), tensor(3.8868), tensor(3.8824)]
Others: [{'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)}, {'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(87082.2344), tensor(87327.9688), tensor(74213.3594), tensor(74296.0234), tensor(73940.6562)]
Training loss: 0
Prediction time: [datetime.timedelta(seconds=4, microseconds=69968), datetime.timedelta(seconds=3, microseconds=990602), datetime.timedelta(seconds=3, microseconds=991513), datetime.timedelta(seconds=4, microseconds=276030), datetime.timedelta(seconds=4, microseconds=216828)]
Phi time: [datetime.timedelta(seconds=10, microseconds=543433), datetime.timedelta(seconds=10, microseconds=347264), datetime.timedelta(seconds=10, microseconds=315470), datetime.timedelta(seconds=10, microseconds=521302), datetime.timedelta(seconds=10, microseconds=791378)]
