Precision: [tensor(0.7070), tensor(0.7010), tensor(0.7104), tensor(0.7025), tensor(0.7036), tensor(0.7041), tensor(0.7099), tensor(0.7018), tensor(0.7020), tensor(0.7070)]
Output distance: [tensor(4.8921), tensor(4.9042), tensor(4.8853), tensor(4.9010), tensor(4.8989), tensor(4.8979), tensor(4.8863), tensor(4.9026), tensor(4.9021), tensor(4.8921)]
Prediction loss: [tensor(36.9961), tensor(35.6462), tensor(37.9595), tensor(35.8439), tensor(36.0877), tensor(36.4931), tensor(37.7282), tensor(34.6638), tensor(35.3596), tensor(37.4350)]
Others: [{'iter_num': 7, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 7, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 7, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 7, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 7, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 7, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 7, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 7, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 7, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}, {'iter_num': 7, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}]
Compressed training loss: [tensor(48828.7188), tensor(48900.7734), tensor(48682.6680), tensor(48781.1484), tensor(48759.2266), tensor(48698.6172), tensor(48777.9453), tensor(48781.1836), tensor(48865.1797), tensor(48525.1016)]
Training loss: 0
Prediction time: [datetime.timedelta(seconds=1, microseconds=310442), datetime.timedelta(seconds=1, microseconds=340314), datetime.timedelta(seconds=1, microseconds=303482), datetime.timedelta(seconds=1, microseconds=298494), datetime.timedelta(seconds=1, microseconds=289529), datetime.timedelta(seconds=1, microseconds=303470), datetime.timedelta(seconds=1, microseconds=299484), datetime.timedelta(seconds=1, microseconds=298491), datetime.timedelta(seconds=1, microseconds=305463), datetime.timedelta(seconds=1, microseconds=308451)]
Phi time: [datetime.timedelta(seconds=91, microseconds=596959), datetime.timedelta(seconds=90, microseconds=948798), datetime.timedelta(seconds=91, microseconds=265334), datetime.timedelta(seconds=91, microseconds=299275), datetime.timedelta(seconds=91, microseconds=38298), datetime.timedelta(seconds=91, microseconds=361365), datetime.timedelta(seconds=91, microseconds=423259), datetime.timedelta(seconds=91, microseconds=333650), datetime.timedelta(seconds=91, microseconds=192734), datetime.timedelta(seconds=91, microseconds=863310)]
