Precision: [tensor(0.1279), tensor(0.0284), tensor(0.0249), tensor(0.3308), tensor(0.1260)]
Output distance: [tensor(6.0504), tensor(6.2494), tensor(6.2562), tensor(5.6445), tensor(6.0541)]
Prediction loss: [tensor(4.2019), tensor(2.1987), tensor(2.0833), tensor(42.4917), tensor(4.1549)]
Others: [{'iter_num': 2, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 4, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 2, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 4, '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(74180.5078), tensor(87630.9062), tensor(87378.9453), tensor(49716.0898), tensor(74159.9453)]
Training loss: 0
Prediction time: [datetime.timedelta(microseconds=337417), datetime.timedelta(microseconds=701269), datetime.timedelta(microseconds=336910), datetime.timedelta(microseconds=614025), datetime.timedelta(microseconds=343403)]
Phi time: [datetime.timedelta(seconds=9, microseconds=968341), datetime.timedelta(seconds=10, microseconds=48120), datetime.timedelta(seconds=9, microseconds=232429), datetime.timedelta(seconds=27, microseconds=199965), datetime.timedelta(seconds=10, microseconds=102765)]
