Precision: [tensor(0.0221), tensor(0.1284), tensor(0.1294), tensor(0.0260), tensor(0.0281)]
Output distance: [tensor(6.2620), tensor(6.0494), tensor(6.0473), tensor(6.2541), tensor(6.2499)]
Prediction loss: [tensor(2.0714), tensor(4.2287), tensor(4.1752), tensor(2.0836), tensor(2.4154)]
Others: [{'iter_num': 2, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 3, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 30, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 2, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 2, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}]
Compressed training loss: [tensor(86880.3906), tensor(74355.0078), tensor(74141.3672), tensor(87036.2344), tensor(83846.6875)]
Training loss: 0
Prediction time: [datetime.timedelta(microseconds=330971), datetime.timedelta(microseconds=473564), datetime.timedelta(seconds=3, microseconds=997205), datetime.timedelta(microseconds=340337), datetime.timedelta(microseconds=342823)]
Phi time: [datetime.timedelta(seconds=10, microseconds=228942), datetime.timedelta(seconds=10, microseconds=128339), datetime.timedelta(seconds=10, microseconds=391348), datetime.timedelta(seconds=10, microseconds=273195), datetime.timedelta(seconds=26, microseconds=455510)]
