Precision: [tensor(0.7060), tensor(0.7028), tensor(0.7052), tensor(0.7025), tensor(0.7075), tensor(0.7018), tensor(0.6999), tensor(0.7033), tensor(0.7025), tensor(0.7049)]
Output distance: [tensor(4.8942), tensor(4.9005), tensor(4.8958), tensor(4.9010), tensor(4.8910), tensor(4.9026), tensor(4.9063), tensor(4.8994), tensor(4.9010), tensor(4.8963)]
Prediction loss: [tensor(37.9546), tensor(38.9729), tensor(36.9077), tensor(37.6072), tensor(35.3199), tensor(37.7194), tensor(37.6275), tensor(36.8672), tensor(38.2911), tensor(36.8170)]
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': 30, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 5, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'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': 30, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'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)}]
Compressed training loss: [tensor(48688.3516), tensor(48786.6367), tensor(48927.), tensor(48939.5859), tensor(48781.4570), tensor(48652.7969), tensor(48742.5938), tensor(48830.0742), tensor(48706.5547), tensor(48880.3555)]
Training loss: 0
Prediction time: [datetime.timedelta(seconds=5, microseconds=703809), datetime.timedelta(seconds=1, microseconds=222816), datetime.timedelta(seconds=5, microseconds=659994), datetime.timedelta(seconds=1, microseconds=165060), datetime.timedelta(seconds=5, microseconds=600247), datetime.timedelta(seconds=1, microseconds=193938), datetime.timedelta(seconds=5, microseconds=649038), datetime.timedelta(seconds=5, microseconds=668951), datetime.timedelta(seconds=1, microseconds=238748), datetime.timedelta(seconds=1, microseconds=191947)]
Phi time: [datetime.timedelta(seconds=93, microseconds=80174), datetime.timedelta(seconds=93, microseconds=401811), datetime.timedelta(seconds=93, microseconds=147887), datetime.timedelta(seconds=93, microseconds=3491), datetime.timedelta(seconds=92, microseconds=380136), datetime.timedelta(seconds=92, microseconds=454818), datetime.timedelta(seconds=92, microseconds=941743), datetime.timedelta(seconds=92, microseconds=898926), datetime.timedelta(seconds=93, microseconds=296239), datetime.timedelta(seconds=92, microseconds=815281)]
