Precision: [tensor(0.1864), tensor(0.5634), tensor(0.5697), tensor(0.2470), tensor(0.2444)]
Output distance: [tensor(5.9333), tensor(5.1793), tensor(5.1667), tensor(5.8120), tensor(5.8173)]
Prediction loss: [tensor(2.1924), tensor(3.8201), tensor(3.7974), tensor(1.9579), tensor(2.0044)]
Others: [{'iter_num': 30, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'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': 5, '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(84236.9141), tensor(74130.0859), tensor(74115.1406), tensor(86812.3750), tensor(86842.2891)]
Training loss: 0
Prediction time: [datetime.timedelta(seconds=2, microseconds=877641), datetime.timedelta(microseconds=482897), datetime.timedelta(microseconds=506615), datetime.timedelta(microseconds=488003), datetime.timedelta(microseconds=491614)]
Phi time: [datetime.timedelta(seconds=26, microseconds=716425), datetime.timedelta(seconds=10, microseconds=646081), datetime.timedelta(seconds=10, microseconds=586931), datetime.timedelta(seconds=9, microseconds=480843), datetime.timedelta(seconds=10, microseconds=380747)]
