Precision: [tensor(0.5671), tensor(0.4904), tensor(0.2489), tensor(0.5571), tensor(0.2216)]
Output distance: [tensor(5.1720), tensor(5.3253), tensor(5.8083), tensor(5.1919), tensor(5.8630)]
Prediction loss: [tensor(3.8401), tensor(2.4393), tensor(2.0257), tensor(3.8629), tensor(2.9460)]
Others: [{'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)}, {'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(74141.0547), tensor(78425.6719), tensor(87502.5078), tensor(74307.7188), tensor(88450.5156)]
Training loss: 0
Prediction time: [datetime.timedelta(microseconds=648221), datetime.timedelta(microseconds=629690), datetime.timedelta(microseconds=536633), datetime.timedelta(microseconds=560009), datetime.timedelta(microseconds=551008)]
Phi time: [datetime.timedelta(seconds=10, microseconds=812013), datetime.timedelta(seconds=9, microseconds=459146), datetime.timedelta(seconds=10, microseconds=605853), datetime.timedelta(seconds=10, microseconds=683268), datetime.timedelta(seconds=11, microseconds=1599)]
