Precision: [tensor(0.7057), tensor(0.7081), tensor(0.7078), tensor(0.7025), tensor(0.7067), tensor(0.7054), tensor(0.7039), tensor(0.7065), tensor(0.7044), tensor(0.7070)]
Output distance: [tensor(4.8947), tensor(4.8900), tensor(4.8905), tensor(4.9010), tensor(4.8926), tensor(4.8952), tensor(4.8984), tensor(4.8931), tensor(4.8973), tensor(4.8921)]
Prediction loss: [tensor(36.4484), tensor(37.1072), tensor(36.8339), tensor(37.8188), tensor(37.7857), tensor(36.8752), tensor(37.8005), tensor(37.4894), tensor(36.2665), tensor(35.1332)]
Others: [{'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)}, {'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)}, {'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)}, {'iter_num': 5, 'num_positive': tensor(3809), 'num_positive_true': tensor(20211)}]
Compressed training loss: [tensor(48609.8008), tensor(48584.1758), tensor(48833.7852), tensor(48756.5430), tensor(48837.0664), tensor(48884.3633), tensor(48674.7695), tensor(48772.1367), tensor(48743.5312), tensor(48636.8906)]
Training loss: 0
Prediction time: [datetime.timedelta(seconds=2, microseconds=596987), datetime.timedelta(seconds=2, microseconds=552175), datetime.timedelta(seconds=2, microseconds=596976), datetime.timedelta(seconds=2, microseconds=542219), datetime.timedelta(seconds=2, microseconds=548190), datetime.timedelta(seconds=2, microseconds=605945), datetime.timedelta(seconds=2, microseconds=548191), datetime.timedelta(seconds=2, microseconds=547215), datetime.timedelta(seconds=2, microseconds=592006), datetime.timedelta(seconds=2, microseconds=576089)]
Phi time: [datetime.timedelta(seconds=88, microseconds=900583), datetime.timedelta(seconds=88, microseconds=882245), datetime.timedelta(seconds=89, microseconds=571103), datetime.timedelta(seconds=89, microseconds=599560), datetime.timedelta(seconds=89, microseconds=41486), datetime.timedelta(seconds=88, microseconds=887160), datetime.timedelta(seconds=89, microseconds=823222), datetime.timedelta(seconds=88, microseconds=933828), datetime.timedelta(seconds=88, microseconds=956006), datetime.timedelta(seconds=89, microseconds=619304)]
