log.txt

Epoch: [ 46] [350/4000] time: 26695.4508, net0_loss = 0.20966, net0_acc = 0.9667, net0_test_acc = 0.9659,     net1_loss = 0.18846, net1_acc = 0.9714, net1_test_acc = 0.9284
Epoch: [ 46] [350/4000] time: 26695.4508, dice0 = 0.08471, cross0 = 0.0771, kl0 = 0.0066, exclusion0 = 0.0891,     dice1 = 0.05955, cross1 = 0.1111, kl1 = 0.0051, exclusion1 = 0.0306
1.2229236
Epoch: [ 46] [400/4000] time: 26702.8905, net0_loss = 0.16685, net0_acc = 0.9739, net0_test_acc = 0.8531,     net1_loss = 0.15892, net1_acc = 0.9734, net1_test_acc = 0.9096
Epoch: [ 46] [400/4000] time: 26702.8905, dice0 = 0.06444, cross0 = 0.0634, kl0 = 0.0112, exclusion0 = 0.0668,     dice1 = 0.06012, cross1 = 0.0710, kl1 = 0.0067, exclusion1 = 0.0489
1.1734962
Epoch: [ 46] [450/4000] time: 26710.3421, net0_loss = 0.05540, net0_acc = 0.9919, net0_test_acc = 0.9146,     net1_loss = 0.37424, net1_acc = 0.9442, net1_test_acc = 0.7974
Epoch: [ 46] [450/4000] time: 26710.3422, dice0 = 0.02258, cross0 = 0.0199, kl0 = 0.0015, exclusion0 = 0.0244,     dice1 = 0.12444, cross1 = 0.1472, kl1 = 0.0461, exclusion1 = 0.1591
1.267275
Epoch: [ 46] [500/4000] time: 26717.7435, net0_loss = 0.15507, net0_acc = 0.9751, net0_test_acc = 0.8836,     net1_loss = 0.13466, net1_acc = 0.9790, net1_test_acc = 0.8550
Epoch: [ 46] [500/4000] time: 26717.7436, dice0 = 0.06197, cross0 = 0.0629, kl0 = 0.0043, exclusion0 = 0.0561,     dice1 = 0.05274, cross1 = 0.0544, kl1 = 0.0040, exclusion1 = 0.0510
1.1360718
Epoch: [ 46] [550/4000] time: 26725.1275, net0_loss = 0.11231, net0_acc = 0.9849, net0_test_acc = 0.9165,     net1_loss = 0.13760, net1_acc = 0.9772, net1_test_acc = 0.9099
Epoch: [ 46] [550/4000] time: 26725.1276, dice0 = 0.04033, cross0 = 0.0354, kl0 = 0.0125, exclusion0 = 0.0606,     dice1 = 0.05286, cross1 = 0.0606, kl1 = 0.0048, exclusion1 = 0.0436
1.0999944
Epoch: [ 46] [600/4000] time: 26732.5140, net0_loss = 0.16652, net0_acc = 0.9729, net0_test_acc = 0.8948,     net1_loss = 0.12297, net1_acc = 0.9779, net1_test_acc = 0.9075
Epoch: [ 46] [600/4000] time: 26732.5141, dice0 = 0.05865, cross0 = 0.0879, kl0 = 0.0029, exclusion0 = 0.0369,     dice1 = 0.04730, cross1 = 0.0588, kl1 = 0.0030, exclusion1 = 0.0308
1.0908715
Epoch: [ 46] [650/4000] time: 26739.8570, net0_loss = 0.36744, net0_acc = 0.9446, net0_test_acc = 0.9277,     net1_loss = 0.17253, net1_acc = 0.9701, net1_test_acc = 0.9499
Epoch: [ 46] [650/4000] time: 26739.8572, dice0 = 0.12927, cross0 = 0.1435, kl0 = 0.0376, exclusion0 = 0.1518,     dice1 = 0.06704, cross1 = 0.0686, kl1 = 0.0089, exclusion1 = 0.0649
1.1949989
Epoch: [ 46] [700/4000] time: 26747.4386, net0_loss = 0.22908, net0_acc = 0.9629, net0_test_acc = 0.9776,     net1_loss = 0.06797, net1_acc = 0.9893, net1_test_acc = 0.9894
Epoch: [ 46] [700/4000] time: 26747.4387, dice0 = 0.08888, cross0 = 0.0965, kl0 = 0.0070, exclusion0 = 0.0804,     dice1 = 0.02639, cross1 = 0.0289, kl1 = 0.0020, exclusion1 = 0.0234
1.2012689
Epoch: [ 46] [750/4000] time: 26754.8721, net0_loss = 0.19319, net0_acc = 0.9664, net0_test_acc = 0.9665,     net1_loss = 0.21594, net1_acc = 0.9623, net1_test_acc = 0.9546
Epoch: [ 46] [750/4000] time: 26754.8721, dice0 = 0.07252, cross0 = 0.0867, kl0 = 0.0087, exclusion0 = 0.0593,     dice1 = 0.08125, cross1 = 0.0921, kl1 = 0.0104, exclusion1 = 0.0747
1.1695942
Epoch: [ 46] [800/4000] time: 26762.2957, net0_loss = 0.10061, net0_acc = 0.9837, net0_test_acc = 0.9735,     net1_loss = 0.11900, net1_acc = 0.9819, net1_test_acc = 0.9326
Epoch: [ 46] [800/4000] time: 26762.2958, dice0 = 0.04009, cross0 = 0.0396, kl0 = 0.0029, exclusion0 = 0.0390,     dice1 = 0.04717, cross1 = 0.0432, kl1 = 0.0059, exclusion1 = 0.0514
1.254278
Epoch: [ 46] [850/4000] time: 26769.6850, net0_loss = 0.21212, net0_acc = 0.9632, net0_test_acc = 0.8690,     net1_loss = 0.07407, net1_acc = 0.9902, net1_test_acc = 0.9880
Epoch: [ 46] [850/4000] time: 26769.6851, dice0 = 0.08004, cross0 = 0.0915, kl0 = 0.0126, exclusion0 = 0.0687,     dice1 = 0.02978, cross1 = 0.0240, kl1 = 0.0057, exclusion1 = 0.0350
1.1444254
Epoch: [ 46] [900/4000] time: 26777.0927, net0_loss = 0.14597, net0_acc = 0.9752, net0_test_acc = 0.9241,     net1_loss = 0.30801, net1_acc = 0.9533, net1_test_acc = 0.9898
Epoch: [ 46] [900/4000] time: 26777.0927, dice0 = 0.05235, cross0 = 0.0663, kl0 = 0.0094, exclusion0 = 0.0452,     dice1 = 0.09998, cross1 = 0.1519, kl1 = 0.0226, exclusion1 = 0.0898
1.145451
Epoch: [ 46] [950/4000] time: 26784.4817, net0_loss = 0.29342, net0_acc = 0.9489, net0_test_acc = 0.9064,     net1_loss = 0.11303, net1_acc = 0.9844, net1_test_acc = 0.9126
Epoch: [ 46] [950/4000] time: 26784.4817, dice0 = 0.09992, cross0 = 0.1305, kl0 = 0.0296, exclusion0 = 0.0964,     dice1 = 0.03686, cross1 = 0.0607, kl1 = 0.0030, exclusion1 = 0.0280
1.1424066
Epoch: [ 46] [1000/4000] time: 26791.9088, net0_loss = 0.12508, net0_acc = 0.9813, net0_test_acc = 0.9618,     net1_loss = 0.29199, net1_acc = 0.9495, net1_test_acc = 0.9628
Epoch: [ 46] [1000/4000] time: 26791.9088, dice0 = 0.04866, cross0 = 0.0460, kl0 = 0.0069, exclusion0 = 0.0540,     dice1 = 0.10163, cross1 = 0.1487, kl1 = 0.0129, exclusion1 = 0.0705
1.1681929
Epoch: [ 46] [1050/4000] time: 26799.3347, net0_loss = 0.13728, net0_acc = 0.9776, net0_test_acc = 0.7544,     net1_loss = 0.06394, net1_acc = 0.9900, net1_test_acc = 0.8950
Epoch: [ 46] [1050/4000] time: 26799.3348, dice0 = 0.05154, cross0 = 0.0590, kl0 = 0.0055, exclusion0 = 0.0480,     dice1 = 0.02621, cross1 = 0.0246, kl1 = 0.0020, exclusion1 = 0.0243
1.2206494
Epoch: [ 46] [1100/4000] time: 26806.7439, net0_loss = 0.22532, net0_acc = 0.9660, net0_test_acc = 0.8386,     net1_loss = 0.09029, net1_acc = 0.9867, net1_test_acc = 0.8281
Epoch: [ 46] [1100/4000] time: 26806.7440, dice0 = 0.07173, cross0 = 0.1340, kl0 = 0.0033, exclusion0 = 0.0359,     dice1 = 0.03429, cross1 = 0.0358, kl1 = 0.0038, exclusion1 = 0.0365
1.1333597
Epoch: [ 46] [1150/4000] time: 26814.1567, net0_loss = 0.13528, net0_acc = 0.9747, net0_test_acc = 0.9864,     net1_loss = 0.17165, net1_acc = 0.9720, net1_test_acc = 0.9657
Epoch: [ 46] [1150/4000] time: 26814.1568, dice0 = 0.05316, cross0 = 0.0646, kl0 = 0.0029, exclusion0 = 0.0321,     dice1 = 0.06007, cross1 = 0.0803, kl1 = 0.0085, exclusion1 = 0.0542
1.1464872
Epoch: [ 46] [1200/4000] time: 26821.5760, net0_loss = 0.17523, net0_acc = 0.9748, net0_test_acc = 0.9406,     net1_loss = 0.13042, net1_acc = 0.9789, net1_test_acc = 0.9434
Epoch: [ 46] [1200/4000] time: 26821.5761, dice0 = 0.06205, cross0 = 0.0619, kl0 = 0.0192, exclusion0 = 0.0834,     dice1 = 0.05007, cross1 = 0.0541, kl1 = 0.0056, exclusion1 = 0.0470
1.2708127
Epoch: [ 46] [1250/4000] time: 26828.9195, net0_loss = 0.19224, net0_acc = 0.9675, net0_test_acc = 0.9481,     net1_loss = 0.35188, net1_acc = 0.9426, net1_test_acc = 0.9706
Epoch: [ 46] [1250/4000] time: 26828.9195, dice0 = 0.07680, cross0 = 0.0825, kl0 = 0.0027, exclusion0 = 0.0631,     dice1 = 0.12130, cross1 = 0.1586, kl1 = 0.0244, exclusion1 = 0.1196
1.2085264
Epoch: [ 46] [1300/4000] time: 26836.3764, net0_loss = 0.22271, net0_acc = 0.9612, net0_test_acc = 0.9152,     net1_loss = 0.14096, net1_acc = 0.9781, net1_test_acc = 0.9779
Epoch: [ 46] [1300/4000] time: 26836.3764, dice0 = 0.07934, cross0 = 0.1080, kl0 = 0.0130, exclusion0 = 0.0578,     dice1 = 0.05264, cross1 = 0.0563, kl1 = 0.0085, exclusion1 = 0.0556
1.1453274
Epoch: [ 46] [1350/4000] time: 26843.7816, net0_loss = 0.06390, net0_acc = 0.9900, net0_test_acc = 0.9572,     net1_loss = 0.15618, net1_acc = 0.9778, net1_test_acc = 0.9194
Epoch: [ 46] [1350/4000] time: 26843.7817, dice0 = 0.02526, cross0 = 0.0237, kl0 = 0.0031, exclusion0 = 0.0268,     dice1 = 0.05713, cross1 = 0.0557, kl1 = 0.0138, exclusion1 = 0.0729
1.2032154
Epoch: [ 46] [1400/4000] time: 26851.1384, net0_loss = 0.11143, net0_acc = 0.9844, net0_test_acc = 0.9352,     net1_loss = 0.20133, net1_acc = 0.9673, net1_test_acc = 0.9258
Epoch: [ 46] [1400/4000] time: 26851.1385, dice0 = 0.03580, cross0 = 0.0616, kl0 = 0.0028, exclusion0 = 0.0252,     dice1 = 0.07808, cross1 = 0.0857, kl1 = 0.0054, exclusion1 = 0.0697
1.2035729
Epoch: [ 46] [1450/4000] time: 26858.5735, net0_loss = 0.87143, net0_acc = 0.8763, net0_test_acc = 0.9720,     net1_loss = 0.18323, net1_acc = 0.9694, net1_test_acc = 0.9145
Epoch: [ 46] [1450/4000] time: 26858.5736, dice0 = 0.22213, cross0 = 0.6000, kl0 = 0.0196, exclusion0 = 0.0789,     dice1 = 0.07107, cross1 = 0.0730, kl1 = 0.0127, exclusion1 = 0.0657
1.172308
Epoch: [ 46] [1500/4000] time: 26865.9865, net0_loss = 0.10589, net0_acc = 0.9819, net0_test_acc = 0.7364,     net1_loss = 0.13555, net1_acc = 0.9769, net1_test_acc = 0.9388
Epoch: [ 46] [1500/4000] time: 26865.9865, dice0 = 0.04265, cross0 = 0.0438, kl0 = 0.0024, exclusion0 = 0.0364,     dice1 = 0.05344, cross1 = 0.0581, kl1 = 0.0030, exclusion1 = 0.0451
1.1698605
Epoch: [ 46] [1550/4000] time: 26873.3589, net0_loss = 0.14722, net0_acc = 0.9757, net0_test_acc = 0.8930,     net1_loss = 0.09264, net1_acc = 0.9859, net1_test_acc = 0.8227
Epoch: [ 46] [1550/4000] time: 26873.3591, dice0 = 0.05852, cross0 = 0.0633, kl0 = 0.0031, exclusion0 = 0.0476,     dice1 = 0.03710, cross1 = 0.0346, kl1 = 0.0023, exclusion1 = 0.0395
1.1274688
Epoch: [ 46] [1600/4000] time: 26880.8023, net0_loss = 0.18996, net0_acc = 0.9678, net0_test_acc = 0.9040,     net1_loss = 0.25537, net1_acc = 0.9597, net1_test_acc = 0.9590
Epoch: [ 46] [1600/4000] time: 26880.8023, dice0 = 0.07460, cross0 = 0.0785, kl0 = 0.0078, exclusion0 = 0.0660,     dice1 = 0.08098, cross1 = 0.1406, kl1 = 0.0135, exclusion1 = 0.0540
1.2192698
Epoch: [ 46] [1650/4000] time: 26888.2499, net0_loss = 0.18701, net0_acc = 0.9692, net0_test_acc = 0.9362,     net1_loss = 0.15447, net1_acc = 0.9720, net1_test_acc = 0.9797
Epoch: [ 46] [1650/4000] time: 26888.2500, dice0 = 0.06880, cross0 = 0.0808, kl0 = 0.0116, exclusion0 = 0.0633,     dice1 = 0.06219, cross1 = 0.0659, kl1 = 0.0035, exclusion1 = 0.0493
1.130673
Epoch: [ 46] [1700/4000] time: 26895.6470, net0_loss = 0.21292, net0_acc = 0.9627, net0_test_acc = 0.9224,     net1_loss = 0.05321, net1_acc = 0.9928, net1_test_acc = 0.9314
Epoch: [ 46] [1700/4000] time: 26895.6470, dice0 = 0.08274, cross0 = 0.0955, kl0 = 0.0041, exclusion0 = 0.0651,     dice1 = 0.02155, cross1 = 0.0181, kl1 = 0.0021, exclusion1 = 0.0249
1.2716686
Epoch: [ 46] [1750/4000] time: 26903.0324, net0_loss = 0.16604, net0_acc = 0.9769, net0_test_acc = 0.9540,     net1_loss = 0.22175, net1_acc = 0.9682, net1_test_acc = 0.8977
Epoch: [ 46] [1750/4000] time: 26903.0325, dice0 = 0.05817, cross0 = 0.0585, kl0 = 0.0202, exclusion0 = 0.0785,     dice1 = 0.07607, cross1 = 0.0765, kl1 = 0.0255, exclusion1 = 0.1128
1.1799538
Epoch: [ 46] [1800/4000] time: 26910.4737, net0_loss = 0.46411, net0_acc = 0.9244, net0_test_acc = 0.7402,     net1_loss = 0.16366, net1_acc = 0.9719, net1_test_acc = 0.8250
Epoch: [ 46] [1800/4000] time: 26910.4737, dice0 = 0.16682, cross0 = 0.1956, kl0 = 0.0279, exclusion0 = 0.1755,     dice1 = 0.06292, cross1 = 0.0637, kl1 = 0.0122, exclusion1 = 0.0618
1.1766567
Epoch: [ 46] [1850/4000] time: 26917.8934, net0_loss = 0.16292, net0_acc = 0.9728, net0_test_acc = 0.8160,     net1_loss = 0.20224, net1_acc = 0.9693, net1_test_acc = 0.8123
Epoch: [ 46] [1850/4000] time: 26917.8934, dice0 = 0.06099, cross0 = 0.0773, kl0 = 0.0034, exclusion0 = 0.0460,     dice1 = 0.06938, cross1 = 0.0869, kl1 = 0.0186, exclusion1 = 0.0734
1.0677174
Epoch: [ 46] [1900/4000] time: 26925.3101, net0_loss = 0.15099, net0_acc = 0.9767, net0_test_acc = 0.9778,     net1_loss = 0.26404, net1_acc = 0.9635, net1_test_acc = 0.9455
Epoch: [ 46] [1900/4000] time: 26925.3102, dice0 = 0.06161, cross0 = 0.0540, kl0 = 0.0038, exclusion0 = 0.0669,     dice1 = 0.07848, cross1 = 0.1588, kl1 = 0.0053, exclusion1 = 0.0481
1.2211754
Epoch: [ 46] [1950/4000] time: 26932.7005, net0_loss = 0.19143, net0_acc = 0.9698, net0_test_acc = 0.9891,     net1_loss = 0.05020, net1_acc = 0.9933, net1_test_acc = 0.9481
Epoch: [ 46] [1950/4000] time: 26932.7005, dice0 = 0.07022, cross0 = 0.0820, kl0 = 0.0130, exclusion0 = 0.0655,     dice1 = 0.02019, cross1 = 0.0168, kl1 = 0.0030, exclusion1 = 0.0234
1.1493909
Epoch: [ 46] [2000/4000] time: 26940.1025, net0_loss = 0.09315, net0_acc = 0.9849, net0_test_acc = 0.9503,     net1_loss = 0.10344, net1_acc = 0.9843, net1_test_acc = 0.7721
Epoch: [ 46] [2000/4000] time: 26940.1026, dice0 = 0.03580, cross0 = 0.0397, kl0 = 0.0039, exclusion0 = 0.0314,     dice1 = 0.04005, cross1 = 0.0381, kl1 = 0.0073, exclusion1 = 0.0433
1.1412508
Epoch: [ 46] [2050/4000] time: 26947.5322, net0_loss = 0.08963, net0_acc = 0.9858, net0_test_acc = 0.9785,     net1_loss = 0.27341, net1_acc = 0.9529, net1_test_acc = 0.9201
Epoch: [ 46] [2050/4000] time: 26947.5323, dice0 = 0.03616, cross0 = 0.0343, kl0 = 0.0024, exclusion0 = 0.0360,     dice1 = 0.10520, cross1 = 0.1219, kl1 = 0.0083, exclusion1 = 0.0843
1.1062665
Epoch: [ 46] [2100/4000] time: 26954.9169, net0_loss = 0.08217, net0_acc = 0.9888, net0_test_acc = 0.9450,     net1_loss = 0.03868, net1_acc = 0.9951, net1_test_acc = 0.9574
Epoch: [ 46] [2100/4000] time: 26954.9170, dice0 = 0.03076, cross0 = 0.0316, kl0 = 0.0046, exclusion0 = 0.0350,     dice1 = 0.01548, cross1 = 0.0132, kl1 = 0.0018, exclusion1 = 0.0183
1.1887085
Epoch: [ 46] [2150/4000] time: 26962.3185, net0_loss = 0.08769, net0_acc = 0.9852, net0_test_acc = 0.9424,     net1_loss = 0.20806, net1_acc = 0.9676, net1_test_acc = 0.9808
Epoch: [ 46] [2150/4000] time: 26962.3186, dice0 = 0.03434, cross0 = 0.0395, kl0 = 0.0016, exclusion0 = 0.0261,     dice1 = 0.07357, cross1 = 0.0983, kl1 = 0.0104, exclusion1 = 0.0621
1.2047645
Epoch: [ 46] [2200/4000] time: 26969.7422, net0_loss = 0.12420, net0_acc = 0.9818, net0_test_acc = 0.8782,     net1_loss = 0.18002, net1_acc = 0.9736, net1_test_acc = 0.9510
Epoch: [ 46] [2200/4000] time: 26969.7423, dice0 = 0.04691, cross0 = 0.0459, kl0 = 0.0099, exclusion0 = 0.0529,     dice1 = 0.07013, cross1 = 0.0618, kl1 = 0.0109, exclusion1 = 0.0852
1.150063
Epoch: [ 46] [2250/4000] time: 26977.1780, net0_loss = 0.09379, net0_acc = 0.9831, net0_test_acc = 0.9034,     net1_loss = 0.10469, net1_acc = 0.9848, net1_test_acc = 0.9646
Epoch: [ 46] [2250/4000] time: 26977.1780, dice0 = 0.03781, cross0 = 0.0412, kl0 = 0.0022, exclusion0 = 0.0274,     dice1 = 0.04057, cross1 = 0.0391, kl1 = 0.0052, exclusion1 = 0.0449
1.0976518
Epoch: [ 46] [2300/4000] time: 26984.5432, net0_loss = 0.10772, net0_acc = 0.9799, net0_test_acc = 0.9476,     net1_loss = 0.06370, net1_acc = 0.9906, net1_test_acc = 0.9660
Epoch: [ 46] [2300/4000] time: 26984.5432, dice0 = 0.04360, cross0 = 0.0443, kl0 = 0.0040, exclusion0 = 0.0357,     dice1 = 0.02489, cross1 = 0.0237, kl1 = 0.0031, exclusion1 = 0.0272
1.2515373
Epoch: [ 46] [2350/4000] time: 26992.0055, net0_loss = 0.08797, net0_acc = 0.9893, net0_test_acc = 0.9259,     net1_loss = 0.13184, net1_acc = 0.9761, net1_test_acc = 0.9780
Epoch: [ 46] [2350/4000] time: 26992.0056, dice0 = 0.03604, cross0 = 0.0293, kl0 = 0.0039, exclusion0 = 0.0414,     dice1 = 0.04965, cross1 = 0.0589, kl1 = 0.0076, exclusion1 = 0.0389
1.1286895
Epoch: [ 46] [2400/4000] time: 26999.4074, net0_loss = 0.08386, net0_acc = 0.9870, net0_test_acc = 0.9758,     net1_loss = 0.09977, net1_acc = 0.9832, net1_test_acc = 0.9573
Epoch: [ 46] [2400/4000] time: 26999.4074, dice0 = 0.03356, cross0 = 0.0322, kl0 = 0.0032, exclusion0 = 0.0331,     dice1 = 0.03855, cross1 = 0.0450, kl1 = 0.0027, exclusion1 = 0.0297
1.2192123
Epoch: [ 46] [2450/4000] time: 27006.8207, net0_loss = 0.27711, net0_acc = 0.9593, net0_test_acc = 0.7392,     net1_loss = 0.12798, net1_acc = 0.9793, net1_test_acc = 0.9186
Epoch: [ 46] [2450/4000] time: 27006.8208, dice0 = 0.09394, cross0 = 0.1337, kl0 = 0.0139, exclusion0 = 0.0850,     dice1 = 0.04845, cross1 = 0.0583, kl1 = 0.0036, exclusion1 = 0.0389
1.1693989
Epoch: [ 46] [2500/4000] time: 27014.2348, net0_loss = 0.31579, net0_acc = 0.9472, net0_test_acc = 0.9517,     net1_loss = 0.22671, net1_acc = 0.9680, net1_test_acc = 0.9541
Epoch: [ 46] [2500/4000] time: 27014.2349, dice0 = 0.10968, cross0 = 0.1528, kl0 = 0.0182, exclusion0 = 0.0885,     dice1 = 0.07409, cross1 = 0.1007, kl1 = 0.0232, exclusion1 = 0.0807
1.1988649
Epoch: [ 46] [2550/4000] time: 27021.6408, net0_loss = 0.20643, net0_acc = 0.9658, net0_test_acc = 0.9340,     net1_loss = 0.10588, net1_acc = 0.9850, net1_test_acc = 0.9455
Epoch: [ 46] [2550/4000] time: 27021.6409, dice0 = 0.07152, cross0 = 0.0965, kl0 = 0.0140, exclusion0 = 0.0629,     dice1 = 0.04286, cross1 = 0.0385, kl1 = 0.0035, exclusion1 = 0.0455
1.2623215
Epoch: [ 46] [2600/4000] time: 27029.0272, net0_loss = 0.12025, net0_acc = 0.9781, net0_test_acc = 0.9518,     net1_loss = 0.07648, net1_acc = 0.9876, net1_test_acc = 0.9257
Epoch: [ 46] [2600/4000] time: 27029.0272, dice0 = 0.04893, cross0 = 0.0517, kl0 = 0.0022, exclusion0 = 0.0370,     dice1 = 0.02875, cross1 = 0.0358, kl1 = 0.0017, exclusion1 = 0.0221
1.1780365
Epoch: [ 46] [2650/4000] time: 27036.3986, net0_loss = 0.08456, net0_acc = 0.9878, net0_test_acc = 0.8121,     net1_loss = 0.08364, net1_acc = 0.9884, net1_test_acc = 0.9277
Epoch: [ 46] [2650/4000] time: 27036.3986, dice0 = 0.03388, cross0 = 0.0296, kl0 = 0.0035, exclusion0 = 0.0386,     dice1 = 0.03448, cross1 = 0.0279, kl1 = 0.0035, exclusion1 = 0.0390
1.1194575
Epoch: [ 46] [2700/4000] time: 27043.8658, net0_loss = 0.12387, net0_acc = 0.9800, net0_test_acc = 0.8913,     net1_loss = 0.20308, net1_acc = 0.9671, net1_test_acc = 0.9132
Epoch: [ 46] [2700/4000] time: 27043.8659, dice0 = 0.04885, cross0 = 0.0492, kl0 = 0.0054, exclusion0 = 0.0463,     dice1 = 0.07615, cross1 = 0.0861, kl1 = 0.0102, exclusion1 = 0.0714
1.1949239
Epoch: [ 46] [2750/4000] time: 27051.2683, net0_loss = 0.19292, net0_acc = 0.9651, net0_test_acc = 0.9559,     net1_loss = 0.18704, net1_acc = 0.9666, net1_test_acc = 0.9376
Epoch: [ 46] [2750/4000] time: 27051.2683, dice0 = 0.07165, cross0 = 0.0998, kl0 = 0.0027, exclusion0 = 0.0403,     dice1 = 0.07201, cross1 = 0.0859, kl1 = 0.0042, exclusion1 = 0.0541
1.1654601
Epoch: [ 46] [2800/4000] time: 27058.6927, net0_loss = 0.24407, net0_acc = 0.9612, net0_test_acc = 0.8182,     net1_loss = 0.16996, net1_acc = 0.9709, net1_test_acc = 0.9288
Epoch: [ 46] [2800/4000] time: 27058.6928, dice0 = 0.08345, cross0 = 0.1054, kl0 = 0.0247, exclusion0 = 0.0857,     dice1 = 0.06148, cross1 = 0.0859, kl1 = 0.0063, exclusion1 = 0.0388
1.1684781
Epoch: [ 46] [2850/4000] time: 27066.1019, net0_loss = 0.11318, net0_acc = 0.9825, net0_test_acc = 0.9647,     net1_loss = 0.28378, net1_acc = 0.9496, net1_test_acc = 0.9592
Epoch: [ 46] [2850/4000] time: 27066.1020, dice0 = 0.04267, cross0 = 0.0436, kl0 = 0.0063, exclusion0 = 0.0474,     dice1 = 0.10176, cross1 = 0.1502, kl1 = 0.0041, exclusion1 = 0.0596
1.2067538
Epoch: [ 46] [2900/4000] time: 27073.5005, net0_loss = 0.34223, net0_acc = 0.9454, net0_test_acc = 0.9527,     net1_loss = 0.09553, net1_acc = 0.9853, net1_test_acc = 0.9901
Epoch: [ 46] [2900/4000] time: 27073.5007, dice0 = 0.11262, cross0 = 0.1693, kl0 = 0.0229, exclusion0 = 0.0977,     dice1 = 0.03917, cross1 = 0.0322, kl1 = 0.0042, exclusion1 = 0.0441
1.1806517
Epoch: [ 46] [2950/4000] time: 27080.9142, net0_loss = 0.23483, net0_acc = 0.9602, net0_test_acc = 0.9614,     net1_loss = 0.28548, net1_acc = 0.9537, net1_test_acc = 0.9055
Epoch: [ 46] [2950/4000] time: 27080.9142, dice0 = 0.08680, cross0 = 0.1116, kl0 = 0.0074, exclusion0 = 0.0656,     dice1 = 0.10023, cross1 = 0.1181, kl1 = 0.0263, exclusion1 = 0.1081
1.1457752
Epoch: [ 46] [3000/4000] time: 27088.2585, net0_loss = 0.22067, net0_acc = 0.9657, net0_test_acc = 0.8551,     net1_loss = 0.25325, net1_acc = 0.9590, net1_test_acc = 0.9038
Epoch: [ 46] [3000/4000] time: 27088.2586, dice0 = 0.07863, cross0 = 0.0993, kl0 = 0.0125, exclusion0 = 0.0729,     dice1 = 0.08717, cross1 = 0.1188, kl1 = 0.0178, exclusion1 = 0.0767
1.1832517
Epoch: [ 46] [3050/4000] time: 27095.7316, net0_loss = 0.18701, net0_acc = 0.9687, net0_test_acc = 0.8293,     net1_loss = 0.25337, net1_acc = 0.9659, net1_test_acc = 0.9728
Epoch: [ 46] [3050/4000] time: 27095.7317, dice0 = 0.07231, cross0 = 0.0752, kl0 = 0.0083, exclusion0 = 0.0707,     dice1 = 0.07599, cross1 = 0.1377, kl1 = 0.0149, exclusion1 = 0.0645
1.3603423
Epoch: [ 46] [3100/4000] time: 27103.1736, net0_loss = 0.18544, net0_acc = 0.9666, net0_test_acc = 0.9826,     net1_loss = 0.24205, net1_acc = 0.9617, net1_test_acc = 0.8689
Epoch: [ 46] [3100/4000] time: 27103.1737, dice0 = 0.07239, cross0 = 0.0827, kl0 = 0.0072, exclusion0 = 0.0534,     dice1 = 0.09176, cross1 = 0.0960, kl1 = 0.0112, exclusion1 = 0.0975
1.2166705
Epoch: [ 46] [3150/4000] time: 27110.5550, net0_loss = 0.12235, net0_acc = 0.9795, net0_test_acc = 0.9530,     net1_loss = 0.05628, net1_acc = 0.9917, net1_test_acc = 0.9685
Epoch: [ 46] [3150/4000] time: 27110.5551, dice0 = 0.04584, cross0 = 0.0517, kl0 = 0.0063, exclusion0 = 0.0434,     dice1 = 0.02120, cross1 = 0.0228, kl1 = 0.0030, exclusion1 = 0.0214
1.2167058
Epoch: [ 46] [3200/4000] time: 27117.9795, net0_loss = 0.04353, net0_acc = 0.9935, net0_test_acc = 0.8959,     net1_loss = 0.05957, net1_acc = 0.9925, net1_test_acc = 0.9231
Epoch: [ 46] [3200/4000] time: 27117.9796, dice0 = 0.01755, cross0 = 0.0160, kl0 = 0.0012, exclusion0 = 0.0189,     dice1 = 0.02452, cross1 = 0.0191, kl1 = 0.0025, exclusion1 = 0.0294
1.2121308
Epoch: [ 46] [3250/4000] time: 27125.2752, net0_loss = 0.09720, net0_acc = 0.9853, net0_test_acc = 0.9528,     net1_loss = 0.10951, net1_acc = 0.9815, net1_test_acc = 0.8965
Epoch: [ 46] [3250/4000] time: 27125.2753, dice0 = 0.03935, cross0 = 0.0347, kl0 = 0.0030, exclusion0 = 0.0432,     dice1 = 0.04160, cross1 = 0.0477, kl1 = 0.0062, exclusion1 = 0.0342
1.2479694
Epoch: [ 46] [3300/4000] time: 27132.7635, net0_loss = 0.21870, net0_acc = 0.9639, net0_test_acc = 0.9650,     net1_loss = 0.08424, net1_acc = 0.9865, net1_test_acc = 0.9533
Epoch: [ 46] [3300/4000] time: 27132.7635, dice0 = 0.08492, cross0 = 0.0904, kl0 = 0.0075, exclusion0 = 0.0791,     dice1 = 0.03468, cross1 = 0.0314, kl1 = 0.0020, exclusion1 = 0.0344
1.2131833
Epoch: [ 46] [3350/4000] time: 27140.1837, net0_loss = 0.15775, net0_acc = 0.9729, net0_test_acc = 0.9357,     net1_loss = 0.18121, net1_acc = 0.9728, net1_test_acc = 0.9434
Epoch: [ 46] [3350/4000] time: 27140.1838, dice0 = 0.06028, cross0 = 0.0735, kl0 = 0.0033, exclusion0 = 0.0447,     dice1 = 0.06076, cross1 = 0.0970, kl1 = 0.0049, exclusion1 = 0.0419
1.3842304
Epoch: [ 46] [3400/4000] time: 27147.5897, net0_loss = 0.06579, net0_acc = 0.9915, net0_test_acc = 0.9413,     net1_loss = 0.18098, net1_acc = 0.9682, net1_test_acc = 0.7773
Epoch: [ 46] [3400/4000] time: 27147.5898, dice0 = 0.02540, cross0 = 0.0225, kl0 = 0.0048, exclusion0 = 0.0309,     dice1 = 0.06453, cross1 = 0.0933, kl1 = 0.0056, exclusion1 = 0.0406
1.2138708
Epoch: [ 46] [3450/4000] time: 27155.0071, net0_loss = 0.15226, net0_acc = 0.9755, net0_test_acc = 0.8714,     net1_loss = 0.18447, net1_acc = 0.9697, net1_test_acc = 0.8975
Epoch: [ 46] [3450/4000] time: 27155.0071, dice0 = 0.05529, cross0 = 0.0753, kl0 = 0.0028, exclusion0 = 0.0405,     dice1 = 0.07172, cross1 = 0.0779, kl1 = 0.0053, exclusion1 = 0.0643
1.1948884
Epoch: [ 46] [3500/4000] time: 27162.3485, net0_loss = 0.04852, net0_acc = 0.9938, net0_test_acc = 0.9171,     net1_loss = 0.08763, net1_acc = 0.9856, net1_test_acc = 0.8264
Epoch: [ 46] [3500/4000] time: 27162.3486, dice0 = 0.01979, cross0 = 0.0154, kl0 = 0.0016, exclusion0 = 0.0251,     dice1 = 0.03400, cross1 = 0.0400, kl1 = 0.0026, exclusion1 = 0.0246
1.3641603
Epoch: [ 46] [3550/4000] time: 27169.7830, net0_loss = 0.33596, net0_acc = 0.9429, net0_test_acc = 0.9414,     net1_loss = 0.07247, net1_acc = 0.9900, net1_test_acc = 0.9374
Epoch: [ 46] [3550/4000] time: 27169.7831, dice0 = 0.11555, cross0 = 0.1661, kl0 = 0.0185, exclusion0 = 0.0902,     dice1 = 0.02904, cross1 = 0.0276, kl1 = 0.0021, exclusion1 = 0.0296
1.1897398
Epoch: [ 46] [3600/4000] time: 27177.3007, net0_loss = 0.09670, net0_acc = 0.9834, net0_test_acc = 0.9075,     net1_loss = 0.12360, net1_acc = 0.9817, net1_test_acc = 0.9415
Epoch: [ 46] [3600/4000] time: 27177.3007, dice0 = 0.03761, cross0 = 0.0436, kl0 = 0.0021, exclusion0 = 0.0288,     dice1 = 0.04733, cross1 = 0.0437, kl1 = 0.0091, exclusion1 = 0.0560
1.1990465
Epoch: [ 46] [3650/4000] time: 27184.7204, net0_loss = 0.23013, net0_acc = 0.9602, net0_test_acc = 0.9718,     net1_loss = 0.12240, net1_acc = 0.9818, net1_test_acc = 0.9367
Epoch: [ 46] [3650/4000] time: 27184.7204, dice0 = 0.08504, cross0 = 0.1143, kl0 = 0.0055, exclusion0 = 0.0560,     dice1 = 0.04554, cross1 = 0.0471, kl1 = 0.0077, exclusion1 = 0.0517
1.227709
Epoch: [ 46] [3700/4000] time: 27192.1664, net0_loss = 0.29616, net0_acc = 0.9506, net0_test_acc = 0.9594,     net1_loss = 0.18407, net1_acc = 0.9674, net1_test_acc = 0.8696
Epoch: [ 46] [3700/4000] time: 27192.1666, dice0 = 0.10629, cross0 = 0.1364, kl0 = 0.0145, exclusion0 = 0.0925,     dice1 = 0.06773, cross1 = 0.0932, kl1 = 0.0037, exclusion1 = 0.0426
1.2516447
Epoch: [ 46] [3750/4000] time: 27199.5319, net0_loss = 0.09822, net0_acc = 0.9845, net0_test_acc = 0.9479,     net1_loss = 0.26057, net1_acc = 0.9542, net1_test_acc = 0.9826
Epoch: [ 46] [3750/4000] time: 27199.5320, dice0 = 0.04027, cross0 = 0.0361, kl0 = 0.0024, exclusion0 = 0.0413,     dice1 = 0.09430, cross1 = 0.1053, kl1 = 0.0233, exclusion1 = 0.0987
1.2356558
Epoch: [ 46] [3800/4000] time: 27207.0061, net0_loss = 0.05483, net0_acc = 0.9925, net0_test_acc = 0.8709,     net1_loss = 0.10502, net1_acc = 0.9849, net1_test_acc = 0.8179
Epoch: [ 46] [3800/4000] time: 27207.0062, dice0 = 0.02166, cross0 = 0.0179, kl0 = 0.0033, exclusion0 = 0.0273,     dice1 = 0.03847, cross1 = 0.0477, kl1 = 0.0031, exclusion1 = 0.0346
1.225934
Epoch: [ 46] [3850/4000] time: 27214.4140, net0_loss = 0.04785, net0_acc = 0.9935, net0_test_acc = 0.9363,     net1_loss = 0.44683, net1_acc = 0.9164, net1_test_acc = 0.8995
Epoch: [ 46] [3850/4000] time: 27214.4141, dice0 = 0.01915, cross0 = 0.0162, kl0 = 0.0022, exclusion0 = 0.0229,     dice1 = 0.15844, cross1 = 0.2311, kl1 = 0.0145, exclusion1 = 0.1001
1.1724534
Epoch: [ 46] [3900/4000] time: 27221.7601, net0_loss = 0.12082, net0_acc = 0.9793, net0_test_acc = 0.9420,     net1_loss = 0.10748, net1_acc = 0.9829, net1_test_acc = 0.9550
Epoch: [ 46] [3900/4000] time: 27221.7601, dice0 = 0.04568, cross0 = 0.0568, kl0 = 0.0037, exclusion0 = 0.0330,     dice1 = 0.04053, cross1 = 0.0483, kl1 = 0.0038, exclusion1 = 0.0335
1.2011719
Epoch: [ 46] [3950/4000] time: 27229.1715, net0_loss = 0.15427, net0_acc = 0.9718, net0_test_acc = 0.9332,     net1_loss = 0.08337, net1_acc = 0.9877, net1_test_acc = 0.9899
Epoch: [ 46] [3950/4000] time: 27229.1715, dice0 = 0.05944, cross0 = 0.0744, kl0 = 0.0027, exclusion0 = 0.0382,     dice1 = 0.03056, cross1 = 0.0346, kl1 = 0.0057, exclusion1 = 0.0308
1.2230648
Epoch: [ 47] [  0/4000] time: 27236.6205, net0_loss = 0.15683, net0_acc = 0.9727, net0_test_acc = 0.9613,     net1_loss = 0.13428, net1_acc = 0.9792, net1_test_acc = 0.7974
Epoch: [ 47] [  0/4000] time: 27236.6206, dice0 = 0.05995, cross0 = 0.0683, kl0 = 0.0066, exclusion0 = 0.0506,     dice1 = 0.05009, cross1 = 0.0524, kl1 = 0.0090, exclusion1 = 0.0546
1.2059556
Epoch: [ 47] [ 50/4000] time: 27244.0577, net0_loss = 0.14224, net0_acc = 0.9769, net0_test_acc = 0.8794,     net1_loss = 0.06253, net1_acc = 0.9907, net1_test_acc = 0.9855
Epoch: [ 47] [ 50/4000] time: 27244.0578, dice0 = 0.05321, cross0 = 0.0595, kl0 = 0.0069, exclusion0 = 0.0522,     dice1 = 0.02466, cross1 = 0.0236, kl1 = 0.0025, exclusion1 = 0.0260
1.2482249
Epoch: [ 47] [100/4000] time: 27251.4614, net0_loss = 0.10985, net0_acc = 0.9828, net0_test_acc = 0.9686,     net1_loss = 0.15551, net1_acc = 0.9738, net1_test_acc = 0.9186
Epoch: [ 47] [100/4000] time: 27251.4615, dice0 = 0.03739, cross0 = 0.0591, kl0 = 0.0026, exclusion0 = 0.0241,     dice1 = 0.05995, cross1 = 0.0626, kl1 = 0.0083, exclusion1 = 0.0577
1.1736227
Epoch: [ 47] [150/4000] time: 27258.8467, net0_loss = 0.06446, net0_acc = 0.9913, net0_test_acc = 0.8793,     net1_loss = 0.25945, net1_acc = 0.9594, net1_test_acc = 0.9042
Epoch: [ 47] [150/4000] time: 27258.8468, dice0 = 0.02607, cross0 = 0.0226, kl0 = 0.0024, exclusion0 = 0.0293,     dice1 = 0.09043, cross1 = 0.1013, kl1 = 0.0253, exclusion1 = 0.1103
1.2420316
Epoch: [ 47] [200/4000] time: 27266.2329, net0_loss = 0.18029, net0_acc = 0.9683, net0_test_acc = 0.8965,     net1_loss = 0.27455, net1_acc = 0.9584, net1_test_acc = 0.8190
Epoch: [ 47] [200/4000] time: 27266.2330, dice0 = 0.07147, cross0 = 0.0790, kl0 = 0.0049, exclusion0 = 0.0547,     dice1 = 0.09343, cross1 = 0.1457, kl1 = 0.0049, exclusion1 = 0.0661
1.1532248
Epoch: [ 47] [250/4000] time: 27273.6585, net0_loss = 0.04667, net0_acc = 0.9952, net0_test_acc = 0.9080,     net1_loss = 0.18428, net1_acc = 0.9680, net1_test_acc = 0.9280
Epoch: [ 47] [250/4000] time: 27273.6586, dice0 = 0.01933, cross0 = 0.0131, kl0 = 0.0014, exclusion0 = 0.0271,     dice1 = 0.07185, cross1 = 0.0808, kl1 = 0.0055, exclusion1 = 0.0578
1.1429739
Epoch: [ 47] [300/4000] time: 27280.9437, net0_loss = 0.11880, net0_acc = 0.9815, net0_test_acc = 0.9203,     net1_loss = 0.14356, net1_acc = 0.9769, net1_test_acc = 0.9222
Epoch: [ 47] [300/4000] time: 27280.9438, dice0 = 0.04589, cross0 = 0.0477, kl0 = 0.0040, exclusion0 = 0.0464,     dice1 = 0.05570, cross1 = 0.0591, kl1 = 0.0057, exclusion1 = 0.0519
1.1081964
Epoch: [ 47] [350/4000] time: 27288.3128, net0_loss = 0.07044, net0_acc = 0.9898, net0_test_acc = 0.8971,     net1_loss = 0.23413, net1_acc = 0.9684, net1_test_acc = 0.9066
Epoch: [ 47] [350/4000] time: 27288.3129, dice0 = 0.02728, cross0 = 0.0273, kl0 = 0.0044, exclusion0 = 0.0273,     dice1 = 0.08547, cross1 = 0.0824, kl1 = 0.0220, exclusion1 = 0.1105
1.125517
Epoch: [ 47] [400/4000] time: 27295.8455, net0_loss = 0.30379, net0_acc = 0.9512, net0_test_acc = 0.9323,     net1_loss = 0.05927, net1_acc = 0.9911, net1_test_acc = 0.9525
Epoch: [ 47] [400/4000] time: 27295.8456, dice0 = 0.10697, cross0 = 0.1278, kl0 = 0.0242, exclusion0 = 0.1138,     dice1 = 0.02410, cross1 = 0.0219, kl1 = 0.0016, exclusion1 = 0.0249
1.2049209
Epoch: [ 47] [450/4000] time: 27303.2701, net0_loss = 0.11506, net0_acc = 0.9814, net0_test_acc = 0.9752,     net1_loss = 0.36129, net1_acc = 0.9510, net1_test_acc = 0.9886
Epoch: [ 47] [450/4000] time: 27303.2702, dice0 = 0.04676, cross0 = 0.0441, kl0 = 0.0024, exclusion0 = 0.0459,     dice1 = 0.10930, cross1 = 0.1967, kl1 = 0.0221, exclusion1 = 0.0884
1.1472999
Epoch: [ 47] [500/4000] time: 27310.6326, net0_loss = 0.09404, net0_acc = 0.9864, net0_test_acc = 0.9629,     net1_loss = 0.24225, net1_acc = 0.9565, net1_test_acc = 0.9571
Epoch: [ 47] [500/4000] time: 27310.6327, dice0 = 0.03473, cross0 = 0.0343, kl0 = 0.0071, exclusion0 = 0.0429,     dice1 = 0.09183, cross1 = 0.1090, kl1 = 0.0106, exclusion1 = 0.0722
1.13651
Epoch: [ 47] [550/4000] time: 27318.0585, net0_loss = 0.19273, net0_acc = 0.9697, net0_test_acc = 0.9742,     net1_loss = 0.14215, net1_acc = 0.9776, net1_test_acc = 0.9180
Epoch: [ 47] [550/4000] time: 27318.0586, dice0 = 0.07170, cross0 = 0.0745, kl0 = 0.0143, exclusion0 = 0.0787,     dice1 = 0.05320, cross1 = 0.0597, kl1 = 0.0064, exclusion1 = 0.0520
1.1265155
Epoch: [ 47] [600/4000] time: 27325.4358, net0_loss = 0.09501, net0_acc = 0.9850, net0_test_acc = 0.8834,     net1_loss = 0.23460, net1_acc = 0.9672, net1_test_acc = 0.9848
Epoch: [ 47] [600/4000] time: 27325.4359, dice0 = 0.03820, cross0 = 0.0345, kl0 = 0.0042, exclusion0 = 0.0405,     dice1 = 0.07918, cross1 = 0.0826, kl1 = 0.0287, exclusion1 = 0.1170
1.13293
Epoch: [ 47] [650/4000] time: 27332.7978, net0_loss = 0.27223, net0_acc = 0.9553, net0_test_acc = 0.9318,     net1_loss = 0.08743, net1_acc = 0.9876, net1_test_acc = 0.9908
Epoch: [ 47] [650/4000] time: 27332.7979, dice0 = 0.09999, cross0 = 0.1152, kl0 = 0.0180, exclusion0 = 0.0961,     dice1 = 0.03355, cross1 = 0.0347, kl1 = 0.0044, exclusion1 = 0.0340
1.1243415
Epoch: [ 47] [700/4000] time: 27340.3120, net0_loss = 0.13748, net0_acc = 0.9763, net0_test_acc = 0.9134,     net1_loss = 0.27026, net1_acc = 0.9548, net1_test_acc = 0.9173
Epoch: [ 47] [700/4000] time: 27340.3121, dice0 = 0.05341, cross0 = 0.0621, kl0 = 0.0036, exclusion0 = 0.0403,     dice1 = 0.09414, cross1 = 0.1321, kl1 = 0.0141, exclusion1 = 0.0739
1.0495896
Epoch: [ 47] [750/4000] time: 27347.7535, net0_loss = 0.03751, net0_acc = 0.9950, net0_test_acc = 0.9682,     net1_loss = 0.26034, net1_acc = 0.9541, net1_test_acc = 0.9606
Epoch: [ 47] [750/4000] time: 27347.7537, dice0 = 0.01523, cross0 = 0.0122, kl0 = 0.0014, exclusion0 = 0.0188,     dice1 = 0.09347, cross1 = 0.1366, kl1 = 0.0055, exclusion1 = 0.0551
1.1202687
Epoch: [ 47] [800/4000] time: 27355.1371, net0_loss = 0.26360, net0_acc = 0.9725, net0_test_acc = 0.7484,     net1_loss = 0.13874, net1_acc = 0.9747, net1_test_acc = 0.8936
Epoch: [ 47] [800/4000] time: 27355.1372, dice0 = 0.06138, cross0 = 0.1788, kl0 = 0.0070, exclusion0 = 0.0398,     dice1 = 0.05398, cross1 = 0.0631, kl1 = 0.0038, exclusion1 = 0.0394
1.1656692
Epoch: [ 47] [850/4000] time: 27362.5243, net0_loss = 0.13620, net0_acc = 0.9795, net0_test_acc = 0.8350,     net1_loss = 0.23201, net1_acc = 0.9615, net1_test_acc = 0.8552
Epoch: [ 47] [850/4000] time: 27362.5243, dice0 = 0.05293, cross0 = 0.0533, kl0 = 0.0057, exclusion0 = 0.0543,     dice1 = 0.08788, cross1 = 0.0967, kl1 = 0.0149, exclusion1 = 0.0801
1.0885984
Epoch: [ 47] [900/4000] time: 27369.8980, net0_loss = 0.04821, net0_acc = 0.9931, net0_test_acc = 0.9862,     net1_loss = 0.16957, net1_acc = 0.9711, net1_test_acc = 0.9696
Epoch: [ 47] [900/4000] time: 27369.8980, dice0 = 0.01904, cross0 = 0.0174, kl0 = 0.0020, exclusion0 = 0.0216,     dice1 = 0.06617, cross1 = 0.0711, kl1 = 0.0068, exclusion1 = 0.0577
1.224087
Epoch: [ 47] [950/4000] time: 27377.3335, net0_loss = 0.17859, net0_acc = 0.9706, net0_test_acc = 0.9384,     net1_loss = 0.09087, net1_acc = 0.9866, net1_test_acc = 0.9350
Epoch: [ 47] [950/4000] time: 27377.3336, dice0 = 0.06616, cross0 = 0.0811, kl0 = 0.0073, exclusion0 = 0.0554,     dice1 = 0.03489, cross1 = 0.0332, kl1 = 0.0078, exclusion1 = 0.0377
1.219226
Epoch: [ 47] [1000/4000] time: 27384.7271, net0_loss = 0.04054, net0_acc = 0.9941, net0_test_acc = 0.9539,     net1_loss = 0.34493, net1_acc = 0.9489, net1_test_acc = 0.9627
Epoch: [ 47] [1000/4000] time: 27384.7272, dice0 = 0.01634, cross0 = 0.0154, kl0 = 0.0013, exclusion0 = 0.0164,     dice1 = 0.10390, cross1 = 0.1997, kl1 = 0.0148, exclusion1 = 0.0679
1.2443969
Epoch: [ 47] [1050/4000] time: 27392.1237, net0_loss = 0.10394, net0_acc = 0.9830, net0_test_acc = 0.8857,     net1_loss = 0.10494, net1_acc = 0.9842, net1_test_acc = 0.9754
Epoch: [ 47] [1050/4000] time: 27392.1238, dice0 = 0.04165, cross0 = 0.0404, kl0 = 0.0032, exclusion0 = 0.0406,     dice1 = 0.03941, cross1 = 0.0420, kl1 = 0.0059, exclusion1 = 0.0411
1.0854949
Epoch: [ 47] [1100/4000] time: 27399.6119, net0_loss = 0.15186, net0_acc = 0.9746, net0_test_acc = 0.9526,     net1_loss = 0.12354, net1_acc = 0.9796, net1_test_acc = 0.9337
Epoch: [ 47] [1100/4000] time: 27399.6119, dice0 = 0.05991, cross0 = 0.0610, kl0 = 0.0056, exclusion0 = 0.0562,     dice1 = 0.04607, cross1 = 0.0552, kl1 = 0.0050, exclusion1 = 0.0395
1.1591822
Epoch: [ 47] [1150/4000] time: 27406.9995, net0_loss = 0.08261, net0_acc = 0.9865, net0_test_acc = 0.9420,     net1_loss = 0.14042, net1_acc = 0.9764, net1_test_acc = 0.9429
Epoch: [ 47] [1150/4000] time: 27406.9996, dice0 = 0.03365, cross0 = 0.0321, kl0 = 0.0017, exclusion0 = 0.0320,     dice1 = 0.05239, cross1 = 0.0661, kl1 = 0.0050, exclusion1 = 0.0389
1.1248249
Epoch: [ 47] [1200/4000] time: 27414.3738, net0_loss = 0.16088, net0_acc = 0.9741, net0_test_acc = 0.9729,     net1_loss = 0.04849, net1_acc = 0.9928, net1_test_acc = 0.9153
Epoch: [ 47] [1200/4000] time: 27414.3739, dice0 = 0.06060, cross0 = 0.0709, kl0 = 0.0070, exclusion0 = 0.0517,     dice1 = 0.01959, cross1 = 0.0171, kl1 = 0.0018, exclusion1 = 0.0219
1.125277
Epoch: [ 47] [1250/4000] time: 27421.7654, net0_loss = 0.08760, net0_acc = 0.9868, net0_test_acc = 0.7349,     net1_loss = 0.15613, net1_acc = 0.9749, net1_test_acc = 0.9497
Epoch: [ 47] [1250/4000] time: 27421.7654, dice0 = 0.03351, cross0 = 0.0391, kl0 = 0.0039, exclusion0 = 0.0261,     dice1 = 0.06357, cross1 = 0.0593, kl1 = 0.0051, exclusion1 = 0.0614
1.1628406
Epoch: [ 47] [1300/4000] time: 27429.1910, net0_loss = 0.24226, net0_acc = 0.9571, net0_test_acc = 0.8803,     net1_loss = 0.14260, net1_acc = 0.9749, net1_test_acc = 0.8196
Epoch: [ 47] [1300/4000] time: 27429.1910, dice0 = 0.08907, cross0 = 0.1167, kl0 = 0.0101, exclusion0 = 0.0629,     dice1 = 0.05720, cross1 = 0.0577, kl1 = 0.0053, exclusion1 = 0.0500
1.182122
Epoch: [ 47] [1350/4000] time: 27436.5580, net0_loss = 0.11095, net0_acc = 0.9820, net0_test_acc = 0.8808,     net1_loss = 0.17547, net1_acc = 0.9702, net1_test_acc = 0.9673
Epoch: [ 47] [1350/4000] time: 27436.5581, dice0 = 0.04395, cross0 = 0.0451, kl0 = 0.0032, exclusion0 = 0.0406,     dice1 = 0.06932, cross1 = 0.0724, kl1 = 0.0053, exclusion1 = 0.0621
1.2444474
Epoch: [ 47] [1400/4000] time: 27444.0315, net0_loss = 0.15194, net0_acc = 0.9753, net0_test_acc = 0.9201,     net1_loss = 0.26948, net1_acc = 0.9653, net1_test_acc = 0.9782
Epoch: [ 47] [1400/4000] time: 27444.0315, dice0 = 0.05557, cross0 = 0.0696, kl0 = 0.0075, exclusion0 = 0.0460,     dice1 = 0.07718, cross1 = 0.1384, kl1 = 0.0247, exclusion1 = 0.0831
1.2138172
Epoch: [ 47] [1450/4000] time: 27451.4742, net0_loss = 0.17698, net0_acc = 0.9723, net0_test_acc = 0.9136,     net1_loss = 0.08037, net1_acc = 0.9874, net1_test_acc = 0.9217
Epoch: [ 47] [1450/4000] time: 27451.4743, dice0 = 0.06445, cross0 = 0.0856, kl0 = 0.0047, exclusion0 = 0.0493,     dice1 = 0.03306, cross1 = 0.0285, kl1 = 0.0036, exclusion1 = 0.0341
1.1939161
Epoch: [ 47] [1500/4000] time: 27458.8653, net0_loss = 0.24863, net0_acc = 0.9600, net0_test_acc = 0.9568,     net1_loss = 0.05378, net1_acc = 0.9932, net1_test_acc = 0.9238
Epoch: [ 47] [1500/4000] time: 27458.8654, dice0 = 0.08124, cross0 = 0.1329, kl0 = 0.0137, exclusion0 = 0.0554,     dice1 = 0.02067, cross1 = 0.0156, kl1 = 0.0075, exclusion1 = 0.0275
1.2424183
Epoch: [ 47] [1550/4000] time: 27466.2876, net0_loss = 0.07587, net0_acc = 0.9879, net0_test_acc = 0.7554,     net1_loss = 0.10564, net1_acc = 0.9837, net1_test_acc = 0.8246
Epoch: [ 47] [1550/4000] time: 27466.2876, dice0 = 0.02883, cross0 = 0.0346, kl0 = 0.0022, exclusion0 = 0.0227,     dice1 = 0.04135, cross1 = 0.0409, kl1 = 0.0042, exclusion1 = 0.0427
1.1493942
Epoch: [ 47] [1600/4000] time: 27473.7145, net0_loss = 0.09201, net0_acc = 0.9857, net0_test_acc = 0.8132,     net1_loss = 0.27540, net1_acc = 0.9507, net1_test_acc = 0.8155
Epoch: [ 47] [1600/4000] time: 27473.7146, dice0 = 0.03578, cross0 = 0.0382, kl0 = 0.0025, exclusion0 = 0.0335,     dice1 = 0.10059, cross1 = 0.1418, kl1 = 0.0055, exclusion1 = 0.0605
1.1502774
Epoch: [ 47] [1650/4000] time: 27481.0229, net0_loss = 0.14637, net0_acc = 0.9786, net0_test_acc = 0.9759,     net1_loss = 0.23473, net1_acc = 0.9655, net1_test_acc = 0.9463
Epoch: [ 47] [1650/4000] time: 27481.0229, dice0 = 0.05397, cross0 = 0.0632, kl0 = 0.0059, exclusion0 = 0.0524,     dice1 = 0.09299, cross1 = 0.0866, kl1 = 0.0078, exclusion1 = 0.1025
1.1516496
Epoch: [ 47] [1700/4000] time: 27488.4614, net0_loss = 0.06684, net0_acc = 0.9916, net0_test_acc = 0.9899,     net1_loss = 0.11592, net1_acc = 0.9804, net1_test_acc = 0.9524
Epoch: [ 47] [1700/4000] time: 27488.4615, dice0 = 0.02219, cross0 = 0.0331, kl0 = 0.0025, exclusion0 = 0.0207,     dice1 = 0.04538, cross1 = 0.0444, kl1 = 0.0070, exclusion1 = 0.0452
1.2406864
Epoch: [ 47] [1750/4000] time: 27495.9340, net0_loss = 0.06526, net0_acc = 0.9903, net0_test_acc = 0.9402,     net1_loss = 0.18490, net1_acc = 0.9723, net1_test_acc = 0.8854
Epoch: [ 47] [1750/4000] time: 27495.9342, dice0 = 0.02599, cross0 = 0.0236, kl0 = 0.0032, exclusion0 = 0.0281,     dice1 = 0.06251, cross1 = 0.0691, kl1 = 0.0232, exclusion1 = 0.0833
1.1588407
Epoch: [ 47] [1800/4000] time: 27503.3356, net0_loss = 0.20612, net0_acc = 0.9664, net0_test_acc = 0.9804,     net1_loss = 0.07135, net1_acc = 0.9919, net1_test_acc = 0.8962
Epoch: [ 47] [1800/4000] time: 27503.3357, dice0 = 0.07235, cross0 = 0.0940, kl0 = 0.0136, exclusion0 = 0.0660,     dice1 = 0.02918, cross1 = 0.0211, kl1 = 0.0048, exclusion1 = 0.0374
1.2191103
Epoch: [ 47] [1850/4000] time: 27510.8254, net0_loss = 0.18331, net0_acc = 0.9678, net0_test_acc = 0.9324,     net1_loss = 0.07106, net1_acc = 0.9890, net1_test_acc = 0.9663
Epoch: [ 47] [1850/4000] time: 27510.8255, dice0 = 0.07003, cross0 = 0.0809, kl0 = 0.0077, exclusion0 = 0.0571,     dice1 = 0.02993, cross1 = 0.0253, kl1 = 0.0015, exclusion1 = 0.0302
1.1900749
Epoch: [ 47] [1900/4000] time: 27518.2328, net0_loss = 0.24790, net0_acc = 0.9572, net0_test_acc = 0.9373,     net1_loss = 0.07134, net1_acc = 0.9903, net1_test_acc = 0.9799
Epoch: [ 47] [1900/4000] time: 27518.2329, dice0 = 0.08829, cross0 = 0.1167, kl0 = 0.0137, exclusion0 = 0.0720,     dice1 = 0.02617, cross1 = 0.0293, kl1 = 0.0039, exclusion1 = 0.0278
1.2294533
Epoch: [ 47] [1950/4000] time: 27525.4977, net0_loss = 0.25549, net0_acc = 0.9593, net0_test_acc = 0.8657,     net1_loss = 0.09596, net1_acc = 0.9848, net1_test_acc = 0.9496
Epoch: [ 47] [1950/4000] time: 27525.4978, dice0 = 0.09827, cross0 = 0.1051, kl0 = 0.0094, exclusion0 = 0.0948,     dice1 = 0.03686, cross1 = 0.0401, kl1 = 0.0039, exclusion1 = 0.0341
1.2226682
Epoch: [ 47] [2000/4000] time: 27533.0705, net0_loss = 0.19176, net0_acc = 0.9703, net0_test_acc = 0.8944,     net1_loss = 0.04205, net1_acc = 0.9951, net1_test_acc = 0.9627
Epoch: [ 47] [2000/4000] time: 27533.0706, dice0 = 0.06940, cross0 = 0.0765, kl0 = 0.0149, exclusion0 = 0.0768,     dice1 = 0.01744, cross1 = 0.0128, kl1 = 0.0016, exclusion1 = 0.0219
1.1454413
Epoch: [ 47] [2050/4000] time: 27540.5027, net0_loss = 0.09220, net0_acc = 0.9859, net0_test_acc = 0.9629,     net1_loss = 0.53141, net1_acc = 0.9155, net1_test_acc = 0.9477
Epoch: [ 47] [2050/4000] time: 27540.5028, dice0 = 0.03762, cross0 = 0.0356, kl0 = 0.0021, exclusion0 = 0.0358,     dice1 = 0.16003, cross1 = 0.2960, kl1 = 0.0324, exclusion1 = 0.1183
1.2076924
Epoch: [ 47] [2100/4000] time: 27547.8723, net0_loss = 0.12982, net0_acc = 0.9796, net0_test_acc = 0.9122,     net1_loss = 0.30450, net1_acc = 0.9460, net1_test_acc = 0.9705
Epoch: [ 47] [2100/4000] time: 27547.8724, dice0 = 0.05151, cross0 = 0.0504, kl0 = 0.0050, exclusion0 = 0.0508,     dice1 = 0.10527, cross1 = 0.1681, kl1 = 0.0066, exclusion1 = 0.0556
1.1722021
Epoch: [ 47] [2150/4000] time: 27555.3284, net0_loss = 0.16676, net0_acc = 0.9725, net0_test_acc = 0.9795,     net1_loss = 0.09159, net1_acc = 0.9860, net1_test_acc = 0.9534
Epoch: [ 47] [2150/4000] time: 27555.3285, dice0 = 0.06177, cross0 = 0.0749, kl0 = 0.0089, exclusion0 = 0.0513,     dice1 = 0.03453, cross1 = 0.0355, kl1 = 0.0046, exclusion1 = 0.0385
1.202705
Epoch: [ 47] [2200/4000] time: 27562.6965, net0_loss = 0.13606, net0_acc = 0.9777, net0_test_acc = 0.7515,     net1_loss = 0.11105, net1_acc = 0.9831, net1_test_acc = 0.9262
Epoch: [ 47] [2200/4000] time: 27562.6966, dice0 = 0.05306, cross0 = 0.0535, kl0 = 0.0060, exclusion0 = 0.0530,     dice1 = 0.04382, cross1 = 0.0395, kl1 = 0.0061, exclusion1 = 0.0494
1.0844194
Epoch: [ 47] [2250/4000] time: 27570.1256, net0_loss = 0.10634, net0_acc = 0.9837, net0_test_acc = 0.9506,     net1_loss = 0.13124, net1_acc = 0.9799, net1_test_acc = 0.9485
Epoch: [ 47] [2250/4000] time: 27570.1257, dice0 = 0.04289, cross0 = 0.0399, kl0 = 0.0038, exclusion0 = 0.0432,     dice1 = 0.04927, cross1 = 0.0485, kl1 = 0.0097, exclusion1 = 0.0573
1.1641083
Epoch: [ 47] [2300/4000] time: 27577.5175, net0_loss = 0.57106, net0_acc = 0.9181, net0_test_acc = 0.9362,     net1_loss = 0.20151, net1_acc = 0.9698, net1_test_acc = 0.9381
Epoch: [ 47] [2300/4000] time: 27577.5176, dice0 = 0.16747, cross0 = 0.3330, kl0 = 0.0181, exclusion0 = 0.1231,     dice1 = 0.07599, cross1 = 0.0775, kl1 = 0.0176, exclusion1 = 0.0785
1.3113766
Epoch: [ 47] [2350/4000] time: 27584.9084, net0_loss = 0.40459, net0_acc = 0.9317, net0_test_acc = 0.9436,     net1_loss = 0.18979, net1_acc = 0.9677, net1_test_acc = 0.9293
Epoch: [ 47] [2350/4000] time: 27584.9085, dice0 = 0.13395, cross0 = 0.2352, kl0 = 0.0066, exclusion0 = 0.0644,     dice1 = 0.07472, cross1 = 0.0779, kl1 = 0.0065, exclusion1 = 0.0677
1.1435436
Epoch: [ 47] [2400/4000] time: 27592.2792, net0_loss = 0.10315, net0_acc = 0.9849, net0_test_acc = 0.8148,     net1_loss = 0.06216, net1_acc = 0.9913, net1_test_acc = 0.9177
Epoch: [ 47] [2400/4000] time: 27592.2793, dice0 = 0.04245, cross0 = 0.0372, kl0 = 0.0030, exclusion0 = 0.0439,     dice1 = 0.02431, cross1 = 0.0220, kl1 = 0.0033, exclusion1 = 0.0285
1.2112516
Epoch: [ 47] [2450/4000] time: 27599.7522, net0_loss = 0.09665, net0_acc = 0.9849, net0_test_acc = 0.8961,     net1_loss = 0.19328, net1_acc = 0.9712, net1_test_acc = 0.9559
Epoch: [ 47] [2450/4000] time: 27599.7522, dice0 = 0.03799, cross0 = 0.0370, kl0 = 0.0035, exclusion0 = 0.0398,     dice1 = 0.06728, cross1 = 0.0904, kl1 = 0.0098, exclusion1 = 0.0614
1.2413849
Epoch: [ 47] [2500/4000] time: 27607.0387, net0_loss = 0.21806, net0_acc = 0.9631, net0_test_acc = 0.9545,     net1_loss = 0.14474, net1_acc = 0.9771, net1_test_acc = 0.9297
Epoch: [ 47] [2500/4000] time: 27607.0388, dice0 = 0.08068, cross0 = 0.0975, kl0 = 0.0102, exclusion0 = 0.0696,     dice1 = 0.05525, cross1 = 0.0552, kl1 = 0.0103, exclusion1 = 0.0583
1.1553081
Epoch: [ 47] [2550/4000] time: 27614.5643, net0_loss = 0.15112, net0_acc = 0.9779, net0_test_acc = 0.8196,     net1_loss = 0.23101, net1_acc = 0.9625, net1_test_acc = 0.9328
Epoch: [ 47] [2550/4000] time: 27614.5644, dice0 = 0.05255, cross0 = 0.0595, kl0 = 0.0160, exclusion0 = 0.0623,     dice1 = 0.08077, cross1 = 0.1163, kl1 = 0.0078, exclusion1 = 0.0600
1.1739118
Epoch: [ 47] [2600/4000] time: 27622.0061, net0_loss = 0.15763, net0_acc = 0.9727, net0_test_acc = 0.9688,     net1_loss = 0.22537, net1_acc = 0.9617, net1_test_acc = 0.9543
Epoch: [ 47] [2600/4000] time: 27622.0062, dice0 = 0.06116, cross0 = 0.0718, kl0 = 0.0042, exclusion0 = 0.0451,     dice1 = 0.08446, cross1 = 0.0930, kl1 = 0.0137, exclusion1 = 0.0820
1.1226275
Epoch: [ 47] [2650/4000] time: 27629.4306, net0_loss = 0.10438, net0_acc = 0.9852, net0_test_acc = 0.9650,     net1_loss = 0.15540, net1_acc = 0.9743, net1_test_acc = 0.9906
Epoch: [ 47] [2650/4000] time: 27629.4307, dice0 = 0.04040, cross0 = 0.0379, kl0 = 0.0063, exclusion0 = 0.0458,     dice1 = 0.06089, cross1 = 0.0655, kl1 = 0.0047, exclusion1 = 0.0533
1.1612651
Epoch: [ 47] [2700/4000] time: 27636.8467, net0_loss = 0.08121, net0_acc = 0.9891, net0_test_acc = 0.9627,     net1_loss = 0.06670, net1_acc = 0.9919, net1_test_acc = 0.9174
Epoch: [ 47] [2700/4000] time: 27636.8467, dice0 = 0.02819, cross0 = 0.0294, kl0 = 0.0088, exclusion0 = 0.0383,     dice1 = 0.02613, cross1 = 0.0222, kl1 = 0.0039, exclusion1 = 0.0328
1.1936281
Epoch: [ 47] [2750/4000] time: 27644.2969, net0_loss = 0.43705, net0_acc = 0.9266, net0_test_acc = 0.8601,     net1_loss = 0.36124, net1_acc = 0.9385, net1_test_acc = 0.9157
Epoch: [ 47] [2750/4000] time: 27644.2970, dice0 = 0.15533, cross0 = 0.1834, kl0 = 0.0406, exclusion0 = 0.1560,     dice1 = 0.12591, cross1 = 0.1849, kl1 = 0.0128, exclusion1 = 0.0881
1.1553876
Epoch: [ 47] [2800/4000] time: 27651.6779, net0_loss = 0.21906, net0_acc = 0.9679, net0_test_acc = 0.8140,     net1_loss = 0.04711, net1_acc = 0.9923, net1_test_acc = 0.9647
Epoch: [ 47] [2800/4000] time: 27651.6780, dice0 = 0.08265, cross0 = 0.0753, kl0 = 0.0173, exclusion0 = 0.1049,     dice1 = 0.01913, cross1 = 0.0185, kl1 = 0.0020, exclusion1 = 0.0171
1.2100914
Epoch: [ 47] [2850/4000] time: 27659.0793, net0_loss = 0.07854, net0_acc = 0.9880, net0_test_acc = 0.9801,     net1_loss = 0.22861, net1_acc = 0.9592, net1_test_acc = 0.9102
Epoch: [ 47] [2850/4000] time: 27659.0794, dice0 = 0.03173, cross0 = 0.0311, kl0 = 0.0020, exclusion0 = 0.0294,     dice1 = 0.08524, cross1 = 0.1081, kl1 = 0.0077, exclusion1 = 0.0628
1.184709
Epoch: [ 47] [2900/4000] time: 27666.4884, net0_loss = 0.19881, net0_acc = 0.9678, net0_test_acc = 0.9571,     net1_loss = 0.18509, net1_acc = 0.9718, net1_test_acc = 0.9687
Epoch: [ 47] [2900/4000] time: 27666.4885, dice0 = 0.07026, cross0 = 0.0903, kl0 = 0.0120, exclusion0 = 0.0646,     dice1 = 0.07181, cross1 = 0.0792, kl1 = 0.0078, exclusion1 = 0.0604
1.1070634
Epoch: [ 47] [2950/4000] time: 27673.9076, net0_loss = 0.24137, net0_acc = 0.9623, net0_test_acc = 0.9038,     net1_loss = 0.32365, net1_acc = 0.9465, net1_test_acc = 0.9171
Epoch: [ 47] [2950/4000] time: 27673.9077, dice0 = 0.08005, cross0 = 0.1284, kl0 = 0.0106, exclusion0 = 0.0552,     dice1 = 0.11108, cross1 = 0.1753, kl1 = 0.0059, exclusion1 = 0.0687
1.1868131
Epoch: [ 47] [3000/4000] time: 27681.2690, net0_loss = 0.18359, net0_acc = 0.9738, net0_test_acc = 0.9537,     net1_loss = 0.14641, net1_acc = 0.9780, net1_test_acc = 0.8977
Epoch: [ 47] [3000/4000] time: 27681.2690, dice0 = 0.06404, cross0 = 0.0725, kl0 = 0.0192, exclusion0 = 0.0748,     dice1 = 0.05551, cross1 = 0.0499, kl1 = 0.0117, exclusion1 = 0.0702
1.1837051
Epoch: [ 47] [3050/4000] time: 27688.7025, net0_loss = 0.33150, net0_acc = 0.9457, net0_test_acc = 0.9601,     net1_loss = 0.21488, net1_acc = 0.9686, net1_test_acc = 0.9545
Epoch: [ 47] [3050/4000] time: 27688.7025, dice0 = 0.11170, cross0 = 0.1581, kl0 = 0.0204, exclusion0 = 0.1029,     dice1 = 0.07554, cross1 = 0.0802, kl1 = 0.0247, exclusion1 = 0.0935
1.1689639
Epoch: [ 47] [3100/4000] time: 27696.1419, net0_loss = 0.15724, net0_acc = 0.9729, net0_test_acc = 0.9039,     net1_loss = 0.21840, net1_acc = 0.9634, net1_test_acc = 0.9522
Epoch: [ 47] [3100/4000] time: 27696.1419, dice0 = 0.06151, cross0 = 0.0644, kl0 = 0.0071, exclusion0 = 0.0556,     dice1 = 0.08245, cross1 = 0.0964, kl1 = 0.0071, exclusion1 = 0.0719
1.1644031
Epoch: [ 47] [3150/4000] time: 27703.5993, net0_loss = 0.13919, net0_acc = 0.9816, net0_test_acc = 0.9399,     net1_loss = 0.11431, net1_acc = 0.9816, net1_test_acc = 0.7868
Epoch: [ 47] [3150/4000] time: 27703.5993, dice0 = 0.04713, cross0 = 0.0548, kl0 = 0.0155, exclusion0 = 0.0591,     dice1 = 0.04293, cross1 = 0.0473, kl1 = 0.0062, exclusion1 = 0.0419
1.1708578
Epoch: [ 47] [3200/4000] time: 27711.0192, net0_loss = 0.17419, net0_acc = 0.9738, net0_test_acc = 0.8717,     net1_loss = 0.18478, net1_acc = 0.9689, net1_test_acc = 0.9175
Epoch: [ 47] [3200/4000] time: 27711.0192, dice0 = 0.06629, cross0 = 0.0648, kl0 = 0.0094, exclusion0 = 0.0767,     dice1 = 0.06856, cross1 = 0.0839, kl1 = 0.0087, exclusion1 = 0.0560
1.1662235
Epoch: [ 47] [3250/4000] time: 27718.3390, net0_loss = 0.23785, net0_acc = 0.9650, net0_test_acc = 0.9142,     net1_loss = 0.08663, net1_acc = 0.9866, net1_test_acc = 0.7831
Epoch: [ 47] [3250/4000] time: 27718.3391, dice0 = 0.08674, cross0 = 0.0964, kl0 = 0.0176, exclusion0 = 0.0917,     dice1 = 0.03506, cross1 = 0.0314, kl1 = 0.0028, exclusion1 = 0.0376
1.2376956
Epoch: [ 47] [3300/4000] time: 27725.8458, net0_loss = 0.27888, net0_acc = 0.9534, net0_test_acc = 0.9292,     net1_loss = 0.15034, net1_acc = 0.9771, net1_test_acc = 0.9302
Epoch: [ 47] [3300/4000] time: 27725.8459, dice0 = 0.10366, cross0 = 0.1213, kl0 = 0.0141, exclusion0 = 0.0937,     dice1 = 0.05539, cross1 = 0.0584, kl1 = 0.0132, exclusion1 = 0.0598
1.3249705
Epoch: [ 47] [3350/4000] time: 27733.2450, net0_loss = 0.19880, net0_acc = 0.9679, net0_test_acc = 0.9215,     net1_loss = 0.20293, net1_acc = 0.9664, net1_test_acc = 0.9435
Epoch: [ 47] [3350/4000] time: 27733.2451, dice0 = 0.06638, cross0 = 0.1094, kl0 = 0.0048, exclusion0 = 0.0413,     dice1 = 0.07951, cross1 = 0.0816, kl1 = 0.0081, exclusion1 = 0.0756
1.1935145
Epoch: [ 47] [3400/4000] time: 27740.7107, net0_loss = 0.17490, net0_acc = 0.9701, net0_test_acc = 0.9714,     net1_loss = 0.24025, net1_acc = 0.9667, net1_test_acc = 0.9315
Epoch: [ 47] [3400/4000] time: 27740.7108, dice0 = 0.06610, cross0 = 0.0818, kl0 = 0.0047, exclusion0 = 0.0492,     dice1 = 0.07147, cross1 = 0.1421, kl1 = 0.0078, exclusion1 = 0.0455
1.2230473
Epoch: [ 47] [3450/4000] time: 27748.1694, net0_loss = 0.21254, net0_acc = 0.9682, net0_test_acc = 0.9450,     net1_loss = 0.28719, net1_acc = 0.9535, net1_test_acc = 0.8771
Epoch: [ 47] [3450/4000] time: 27748.1695, dice0 = 0.07310, cross0 = 0.1097, kl0 = 0.0050, exclusion0 = 0.0545,     dice1 = 0.09797, cross1 = 0.1470, kl1 = 0.0126, exclusion1 = 0.0718
1.276155
Epoch: [ 47] [3500/4000] time: 27755.5967, net0_loss = 0.17399, net0_acc = 0.9720, net0_test_acc = 0.9527,     net1_loss = 0.19313, net1_acc = 0.9659, net1_test_acc = 0.9829
Epoch: [ 47] [3500/4000] time: 27755.5968, dice0 = 0.06422, cross0 = 0.0738, kl0 = 0.0099, exclusion0 = 0.0621,     dice1 = 0.07392, cross1 = 0.0916, kl1 = 0.0051, exclusion1 = 0.0501
1.2108332
Epoch: [ 47] [3550/4000] time: 27762.9707, net0_loss = 0.07974, net0_acc = 0.9880, net0_test_acc = 0.8780,     net1_loss = 0.06501, net1_acc = 0.9920, net1_test_acc = 0.8548
Epoch: [ 47] [3550/4000] time: 27762.9708, dice0 = 0.03061, cross0 = 0.0294, kl0 = 0.0045, exclusion0 = 0.0349,     dice1 = 0.02529, cross1 = 0.0214, kl1 = 0.0050, exclusion1 = 0.0316
1.2885197
Epoch: [ 47] [3600/4000] time: 27770.3936, net0_loss = 0.20857, net0_acc = 0.9659, net0_test_acc = 0.9280,     net1_loss = 0.09443, net1_acc = 0.9869, net1_test_acc = 0.8977
Epoch: [ 47] [3600/4000] time: 27770.3937, dice0 = 0.07236, cross0 = 0.0925, kl0 = 0.0183, exclusion0 = 0.0691,     dice1 = 0.03714, cross1 = 0.0332, kl1 = 0.0063, exclusion1 = 0.0419
1.2402242
Epoch: [ 47] [3650/4000] time: 27777.7453, net0_loss = 0.06866, net0_acc = 0.9902, net0_test_acc = 0.9526,     net1_loss = 0.06915, net1_acc = 0.9909, net1_test_acc = 0.9364
Epoch: [ 47] [3650/4000] time: 27777.7454, dice0 = 0.02762, cross0 = 0.0227, kl0 = 0.0048, exclusion0 = 0.0318,     dice1 = 0.02753, cross1 = 0.0238, kl1 = 0.0043, exclusion1 = 0.0313
1.2397991
Epoch: [ 47] [3700/4000] time: 27785.1123, net0_loss = 0.08141, net0_acc = 0.9867, net0_test_acc = 0.9384,     net1_loss = 0.30981, net1_acc = 0.9520, net1_test_acc = 0.9907
Epoch: [ 47] [3700/4000] time: 27785.1124, dice0 = 0.02923, cross0 = 0.0396, kl0 = 0.0031, exclusion0 = 0.0220,     dice1 = 0.11209, cross1 = 0.1381, kl1 = 0.0144, exclusion1 = 0.1049
1.232999
Epoch: [ 47] [3750/4000] time: 27792.5749, net0_loss = 0.18822, net0_acc = 0.9680, net0_test_acc = 0.9632,     net1_loss = 0.24247, net1_acc = 0.9601, net1_test_acc = 0.7921
Epoch: [ 47] [3750/4000] time: 27792.5750, dice0 = 0.07113, cross0 = 0.0880, kl0 = 0.0062, exclusion0 = 0.0521,     dice1 = 0.08581, cross1 = 0.1067, kl1 = 0.0201, exclusion1 = 0.0798
1.2206905
Epoch: [ 47] [3800/4000] time: 27799.9853, net0_loss = 0.19696, net0_acc = 0.9657, net0_test_acc = 0.8780,     net1_loss = 0.06346, net1_acc = 0.9896, net1_test_acc = 0.9838
Epoch: [ 47] [3800/4000] time: 27799.9854, dice0 = 0.07142, cross0 = 0.1007, kl0 = 0.0054, exclusion0 = 0.0441,     dice1 = 0.02501, cross1 = 0.0249, kl1 = 0.0025, exclusion1 = 0.0245
1.1750653
Epoch: [ 47] [3850/4000] time: 27807.3793, net0_loss = 0.08276, net0_acc = 0.9859, net0_test_acc = 0.9621,     net1_loss = 0.17367, net1_acc = 0.9730, net1_test_acc = 0.9202
Epoch: [ 47] [3850/4000] time: 27807.3793, dice0 = 0.03188, cross0 = 0.0395, kl0 = 0.0014, exclusion0 = 0.0212,     dice1 = 0.06801, cross1 = 0.0667, kl1 = 0.0071, exclusion1 = 0.0708
1.129413
Epoch: [ 47] [3900/4000] time: 27814.8065, net0_loss = 0.18245, net0_acc = 0.9733, net0_test_acc = 0.8490,     net1_loss = 0.11757, net1_acc = 0.9830, net1_test_acc = 0.9030
Epoch: [ 47] [3900/4000] time: 27814.8066, dice0 = 0.06255, cross0 = 0.0724, kl0 = 0.0169, exclusion0 = 0.0780,     dice1 = 0.04653, cross1 = 0.0442, kl1 = 0.0051, exclusion1 = 0.0486
1.1873949
Epoch: [ 47] [3950/4000] time: 27822.2290, net0_loss = 0.21071, net0_acc = 0.9634, net0_test_acc = 0.8999,     net1_loss = 0.17648, net1_acc = 0.9714, net1_test_acc = 0.8149
Epoch: [ 47] [3950/4000] time: 27822.2291, dice0 = 0.08323, cross0 = 0.0896, kl0 = 0.0073, exclusion0 = 0.0684,     dice1 = 0.06635, cross1 = 0.0684, kl1 = 0.0107, exclusion1 = 0.0728
1.1555933
Epoch: [ 48] [  0/4000] time: 27829.6156, net0_loss = 0.10449, net0_acc = 0.9837, net0_test_acc = 0.9087,     net1_loss = 0.08062, net1_acc = 0.9880, net1_test_acc = 0.8833
Epoch: [ 48] [  0/4000] time: 27829.6156, dice0 = 0.04145, cross0 = 0.0381, kl0 = 0.0058, exclusion0 = 0.0441,     dice1 = 0.03103, cross1 = 0.0313, kl1 = 0.0042, exclusion1 = 0.0324
1.2061934
Epoch: [ 48] [ 50/4000] time: 27837.0362, net0_loss = 0.21124, net0_acc = 0.9662, net0_test_acc = 0.9292,     net1_loss = 0.14595, net1_acc = 0.9770, net1_test_acc = 0.9205
Epoch: [ 48] [ 50/4000] time: 27837.0363, dice0 = 0.07111, cross0 = 0.1165, kl0 = 0.0061, exclusion0 = 0.0411,     dice1 = 0.05669, cross1 = 0.0560, kl1 = 0.0079, exclusion1 = 0.0586
1.1310455
Epoch: [ 48] [100/4000] time: 27844.4888, net0_loss = 0.20667, net0_acc = 0.9720, net0_test_acc = 0.9007,     net1_loss = 0.16060, net1_acc = 0.9730, net1_test_acc = 0.9243
Epoch: [ 48] [100/4000] time: 27844.4888, dice0 = 0.06363, cross0 = 0.1183, kl0 = 0.0044, exclusion0 = 0.0450,     dice1 = 0.05767, cross1 = 0.0817, kl1 = 0.0041, exclusion1 = 0.0383
1.1478963
Epoch: [ 48] [150/4000] time: 27851.9370, net0_loss = 0.09461, net0_acc = 0.9849, net0_test_acc = 0.9392,     net1_loss = 0.11770, net1_acc = 0.9785, net1_test_acc = 0.9460
Epoch: [ 48] [150/4000] time: 27851.9370, dice0 = 0.03794, cross0 = 0.0351, kl0 = 0.0042, exclusion0 = 0.0389,     dice1 = 0.04467, cross1 = 0.0591, kl1 = 0.0018, exclusion1 = 0.0261
1.1430422
Epoch: [ 48] [200/4000] time: 27859.3617, net0_loss = 0.19551, net0_acc = 0.9653, net0_test_acc = 0.9840,     net1_loss = 0.12176, net1_acc = 0.9813, net1_test_acc = 0.9879
Epoch: [ 48] [200/4000] time: 27859.3618, dice0 = 0.07072, cross0 = 0.1046, kl0 = 0.0030, exclusion0 = 0.0373,     dice1 = 0.04306, cross1 = 0.0538, kl1 = 0.0091, exclusion1 = 0.0407
1.1321768
Epoch: [ 48] [250/4000] time: 27866.7886, net0_loss = 0.13687, net0_acc = 0.9786, net0_test_acc = 0.9624,     net1_loss = 0.10056, net1_acc = 0.9833, net1_test_acc = 0.9564
Epoch: [ 48] [250/4000] time: 27866.7887, dice0 = 0.05443, cross0 = 0.0512, kl0 = 0.0063, exclusion0 = 0.0562,     dice1 = 0.04085, cross1 = 0.0395, kl1 = 0.0021, exclusion1 = 0.0383
1.1808633
Epoch: [ 48] [300/4000] time: 27874.1009, net0_loss = 0.07031, net0_acc = 0.9893, net0_test_acc = 0.9763,     net1_loss = 0.10103, net1_acc = 0.9837, net1_test_acc = 0.9192
Epoch: [ 48] [300/4000] time: 27874.1010, dice0 = 0.02754, cross0 = 0.0281, kl0 = 0.0032, exclusion0 = 0.0262,     dice1 = 0.04010, cross1 = 0.0375, kl1 = 0.0058, exclusion1 = 0.0411
1.2754784
Epoch: [ 48] [350/4000] time: 27881.6416, net0_loss = 0.15202, net0_acc = 0.9772, net0_test_acc = 0.8985,     net1_loss = 0.15878, net1_acc = 0.9739, net1_test_acc = 0.9871
Epoch: [ 48] [350/4000] time: 27881.6416, dice0 = 0.05950, cross0 = 0.0565, kl0 = 0.0084, exclusion0 = 0.0636,     dice1 = 0.05984, cross1 = 0.0701, kl1 = 0.0071, exclusion1 = 0.0506
1.2123636
Epoch: [ 48] [400/4000] time: 27889.0337, net0_loss = 0.13061, net0_acc = 0.9773, net0_test_acc = 0.9368,     net1_loss = 0.24973, net1_acc = 0.9625, net1_test_acc = 0.9903
Epoch: [ 48] [400/4000] time: 27889.0338, dice0 = 0.04702, cross0 = 0.0627, kl0 = 0.0066, exclusion0 = 0.0351,     dice1 = 0.09167, cross1 = 0.0900, kl1 = 0.0214, exclusion1 = 0.1148
1.2252603
Epoch: [ 48] [450/4000] time: 27896.4348, net0_loss = 0.13107, net0_acc = 0.9816, net0_test_acc = 0.8944,     net1_loss = 0.13687, net1_acc = 0.9758, net1_test_acc = 0.9129
Epoch: [ 48] [450/4000] time: 27896.4349, dice0 = 0.05059, cross0 = 0.0447, kl0 = 0.0080, exclusion0 = 0.0635,     dice1 = 0.05289, cross1 = 0.0664, kl1 = 0.0020, exclusion1 = 0.0331
1.1937776
Epoch: [ 48] [500/4000] time: 27903.7433, net0_loss = 0.09084, net0_acc = 0.9880, net0_test_acc = 0.9642,     net1_loss = 0.24171, net1_acc = 0.9610, net1_test_acc = 0.9613
Epoch: [ 48] [500/4000] time: 27903.7434, dice0 = 0.03631, cross0 = 0.0293, kl0 = 0.0056, exclusion0 = 0.0449,     dice1 = 0.08290, cross1 = 0.1272, kl1 = 0.0061, exclusion1 = 0.0571
1.1197722
Epoch: [ 48] [550/4000] time: 27911.2897, net0_loss = 0.28459, net0_acc = 0.9497, net0_test_acc = 0.7506,     net1_loss = 0.09672, net1_acc = 0.9863, net1_test_acc = 0.9010
Epoch: [ 48] [550/4000] time: 27911.2899, dice0 = 0.10743, cross0 = 0.1326, kl0 = 0.0093, exclusion0 = 0.0799,     dice1 = 0.03762, cross1 = 0.0335, kl1 = 0.0051, exclusion1 = 0.0461
1.2323524
Epoch: [ 48] [600/4000] time: 27918.7021, net0_loss = 0.08830, net0_acc = 0.9870, net0_test_acc = 0.8364,     net1_loss = 0.35250, net1_acc = 0.9456, net1_test_acc = 0.8224
Epoch: [ 48] [600/4000] time: 27918.7021, dice0 = 0.03165, cross0 = 0.0350, kl0 = 0.0058, exclusion0 = 0.0374,     dice1 = 0.12759, cross1 = 0.1327, kl1 = 0.0353, exclusion1 = 0.1490
1.1376868
Epoch: [ 48] [650/4000] time: 27926.0658, net0_loss = 0.23057, net0_acc = 0.9628, net0_test_acc = 0.9846,     net1_loss = 0.05933, net1_acc = 0.9916, net1_test_acc = 0.9705
Epoch: [ 48] [650/4000] time: 27926.0658, dice0 = 0.08181, cross0 = 0.1028, kl0 = 0.0168, exclusion0 = 0.0753,     dice1 = 0.02460, cross1 = 0.0206, kl1 = 0.0016, exclusion1 = 0.0266
1.1106992
Epoch: [ 48] [700/4000] time: 27933.5038, net0_loss = 0.10507, net0_acc = 0.9857, net0_test_acc = 0.9381,     net1_loss = 0.25959, net1_acc = 0.9539, net1_test_acc = 0.9347
Epoch: [ 48] [700/4000] time: 27933.5038, dice0 = 0.03439, cross0 = 0.0503, kl0 = 0.0069, exclusion0 = 0.0339,     dice1 = 0.09607, cross1 = 0.1241, kl1 = 0.0088, exclusion1 = 0.0702
1.1171496
Epoch: [ 48] [750/4000] time: 27940.8751, net0_loss = 0.11661, net0_acc = 0.9800, net0_test_acc = 0.9473,     net1_loss = 0.10513, net1_acc = 0.9832, net1_test_acc = 0.9437
Epoch: [ 48] [750/4000] time: 27940.8752, dice0 = 0.04470, cross0 = 0.0519, kl0 = 0.0035, exclusion0 = 0.0366,     dice1 = 0.04097, cross1 = 0.0390, kl1 = 0.0075, exclusion1 = 0.0429
1.170445
Epoch: [ 48] [800/4000] time: 27948.3304, net0_loss = 0.16446, net0_acc = 0.9717, net0_test_acc = 0.9014,     net1_loss = 0.12414, net1_acc = 0.9807, net1_test_acc = 0.9733
Epoch: [ 48] [800/4000] time: 27948.3305, dice0 = 0.06213, cross0 = 0.0770, kl0 = 0.0052, exclusion0 = 0.0454,     dice1 = 0.04148, cross1 = 0.0560, kl1 = 0.0123, exclusion1 = 0.0411
1.1809931
Epoch: [ 48] [850/4000] time: 27955.6977, net0_loss = 0.24920, net0_acc = 0.9583, net0_test_acc = 0.9465,     net1_loss = 0.16012, net1_acc = 0.9744, net1_test_acc = 0.9319
Epoch: [ 48] [850/4000] time: 27955.6978, dice0 = 0.08877, cross0 = 0.1233, kl0 = 0.0083, exclusion0 = 0.0660,     dice1 = 0.06239, cross1 = 0.0621, kl1 = 0.0085, exclusion1 = 0.0628
1.1427844
Epoch: [ 48] [900/4000] time: 27963.1041, net0_loss = 0.20790, net0_acc = 0.9687, net0_test_acc = 0.9215,     net1_loss = 0.39666, net1_acc = 0.9339, net1_test_acc = 0.9142
Epoch: [ 48] [900/4000] time: 27963.1041, dice0 = 0.07806, cross0 = 0.0813, kl0 = 0.0159, exclusion0 = 0.0812,     dice1 = 0.12627, cross1 = 0.2421, kl1 = 0.0069, exclusion1 = 0.0497
1.1977495
Epoch: [ 48] [950/4000] time: 27970.5049, net0_loss = 0.18085, net0_acc = 0.9691, net0_test_acc = 0.9727,     net1_loss = 0.06083, net1_acc = 0.9919, net1_test_acc = 0.8881
Epoch: [ 48] [950/4000] time: 27970.5050, dice0 = 0.07210, cross0 = 0.0743, kl0 = 0.0070, exclusion0 = 0.0620,     dice1 = 0.02548, cross1 = 0.0196, kl1 = 0.0020, exclusion1 = 0.0295
1.1475321
Epoch: [ 48] [1000/4000] time: 27977.9033, net0_loss = 0.27799, net0_acc = 0.9548, net0_test_acc = 0.7348,     net1_loss = 0.10376, net1_acc = 0.9825, net1_test_acc = 0.9492
Epoch: [ 48] [1000/4000] time: 27977.9034, dice0 = 0.09462, cross0 = 0.1273, kl0 = 0.0248, exclusion0 = 0.0873,     dice1 = 0.04011, cross1 = 0.0442, kl1 = 0.0040, exclusion1 = 0.0349
1.2132349
Epoch: [ 48] [1050/4000] time: 27985.3112, net0_loss = 0.08317, net0_acc = 0.9882, net0_test_acc = 0.8809,     net1_loss = 0.12914, net1_acc = 0.9782, net1_test_acc = 0.8153
Epoch: [ 48] [1050/4000] time: 27985.3112, dice0 = 0.03084, cross0 = 0.0363, kl0 = 0.0030, exclusion0 = 0.0290,     dice1 = 0.05178, cross1 = 0.0549, kl1 = 0.0021, exclusion1 = 0.0429
1.1838471
Epoch: [ 48] [1100/4000] time: 27992.7230, net0_loss = 0.47995, net0_acc = 0.9266, net0_test_acc = 0.8738,     net1_loss = 0.42039, net1_acc = 0.9333, net1_test_acc = 0.9754
Epoch: [ 48] [1100/4000] time: 27992.7230, dice0 = 0.14162, cross0 = 0.3064, kl0 = 0.0037, exclusion0 = 0.0602,     dice1 = 0.13263, cross1 = 0.2495, kl1 = 0.0092, exclusion1 = 0.0672
1.1667792
Epoch: [ 48] [1150/4000] time: 28000.1454, net0_loss = 0.04905, net0_acc = 0.9935, net0_test_acc = 0.9139,     net1_loss = 0.27599, net1_acc = 0.9541, net1_test_acc = 0.9789
Epoch: [ 48] [1150/4000] time: 28000.1455, dice0 = 0.01945, cross0 = 0.0180, kl0 = 0.0017, exclusion0 = 0.0216,     dice1 = 0.09980, cross1 = 0.1152, kl1 = 0.0207, exclusion1 = 0.1012
1.1611768
Epoch: [ 48] [1200/4000] time: 28007.5320, net0_loss = 0.21419, net0_acc = 0.9643, net0_test_acc = 0.9032,     net1_loss = 0.12584, net1_acc = 0.9793, net1_test_acc = 0.9455
Epoch: [ 48] [1200/4000] time: 28007.5321, dice0 = 0.07947, cross0 = 0.0998, kl0 = 0.0063, exclusion0 = 0.0636,     dice1 = 0.05003, cross1 = 0.0517, kl1 = 0.0029, exclusion1 = 0.0453
1.0864856
Epoch: [ 48] [1250/4000] time: 28014.9564, net0_loss = 0.13561, net0_acc = 0.9789, net0_test_acc = 0.9567,     net1_loss = 0.10635, net1_acc = 0.9845, net1_test_acc = 0.8884
Epoch: [ 48] [1250/4000] time: 28014.9565, dice0 = 0.05460, cross0 = 0.0516, kl0 = 0.0038, exclusion0 = 0.0549,     dice1 = 0.04236, cross1 = 0.0388, kl1 = 0.0041, exclusion1 = 0.0463
1.1607347
Epoch: [ 48] [1300/4000] time: 28022.3507, net0_loss = 0.14363, net0_acc = 0.9765, net0_test_acc = 0.7719,     net1_loss = 0.20609, net1_acc = 0.9703, net1_test_acc = 0.8231
Epoch: [ 48] [1300/4000] time: 28022.3508, dice0 = 0.05646, cross0 = 0.0582, kl0 = 0.0063, exclusion0 = 0.0517,     dice1 = 0.08005, cross1 = 0.0775, kl1 = 0.0071, exclusion1 = 0.0900
1.2495829
Epoch: [ 48] [1350/4000] time: 28029.7107, net0_loss = 0.28361, net0_acc = 0.9619, net0_test_acc = 0.8107,     net1_loss = 0.09780, net1_acc = 0.9845, net1_test_acc = 0.8300
Epoch: [ 48] [1350/4000] time: 28029.7107, dice0 = 0.08179, cross0 = 0.1015, kl0 = 0.0528, exclusion0 = 0.1477,     dice1 = 0.03803, cross1 = 0.0394, kl1 = 0.0036, exclusion1 = 0.0372
1.1662269
Epoch: [ 48] [1400/4000] time: 28037.1351, net0_loss = 0.16708, net0_acc = 0.9733, net0_test_acc = 0.9759,     net1_loss = 0.13128, net1_acc = 0.9783, net1_test_acc = 0.9492
Epoch: [ 48] [1400/4000] time: 28037.1352, dice0 = 0.06069, cross0 = 0.0691, kl0 = 0.0127, exclusion0 = 0.0620,     dice1 = 0.05192, cross1 = 0.0536, kl1 = 0.0039, exclusion1 = 0.0476
1.1595321
Epoch: [ 48] [1450/4000] time: 28044.5461, net0_loss = 0.15037, net0_acc = 0.9752, net0_test_acc = 0.9911,     net1_loss = 0.23589, net1_acc = 0.9578, net1_test_acc = 0.9500
Epoch: [ 48] [1450/4000] time: 28044.5461, dice0 = 0.05759, cross0 = 0.0644, kl0 = 0.0070, exclusion0 = 0.0497,     dice1 = 0.08667, cross1 = 0.1123, kl1 = 0.0087, exclusion1 = 0.0651
1.1401029
Epoch: [ 48] [1500/4000] time: 28051.9584, net0_loss = 0.06480, net0_acc = 0.9894, net0_test_acc = 0.9520,     net1_loss = 0.08235, net1_acc = 0.9894, net1_test_acc = 0.8514
Epoch: [ 48] [1500/4000] time: 28051.9585, dice0 = 0.02401, cross0 = 0.0298, kl0 = 0.0027, exclusion0 = 0.0193,     dice1 = 0.03240, cross1 = 0.0277, kl1 = 0.0062, exclusion1 = 0.0383
1.1427743
Epoch: [ 48] [1550/4000] time: 28059.4020, net0_loss = 0.13251, net0_acc = 0.9779, net0_test_acc = 0.9788,     net1_loss = 0.06862, net1_acc = 0.9904, net1_test_acc = 0.8898
Epoch: [ 48] [1550/4000] time: 28059.4021, dice0 = 0.05032, cross0 = 0.0573, kl0 = 0.0063, exclusion0 = 0.0435,     dice1 = 0.02869, cross1 = 0.0233, kl1 = 0.0017, exclusion1 = 0.0317
1.1545749
Epoch: [ 48] [1600/4000] time: 28066.8004, net0_loss = 0.19919, net0_acc = 0.9674, net0_test_acc = 0.9339,     net1_loss = 0.13902, net1_acc = 0.9766, net1_test_acc = 0.9679
Epoch: [ 48] [1600/4000] time: 28066.8005, dice0 = 0.07897, cross0 = 0.0807, kl0 = 0.0067, exclusion0 = 0.0724,     dice1 = 0.05467, cross1 = 0.0552, kl1 = 0.0062, exclusion1 = 0.0520
1.2232857
Epoch: [ 48] [1650/4000] time: 28074.2123, net0_loss = 0.32340, net0_acc = 0.9507, net0_test_acc = 0.9397,     net1_loss = 0.31945, net1_acc = 0.9485, net1_test_acc = 0.9816
Epoch: [ 48] [1650/4000] time: 28074.2124, dice0 = 0.10671, cross0 = 0.1506, kl0 = 0.0278, exclusion0 = 0.1043,     dice1 = 0.10714, cross1 = 0.1497, kl1 = 0.0239, exclusion1 = 0.1013
1.1750355
Epoch: [ 48] [1700/4000] time: 28081.4917, net0_loss = 0.28927, net0_acc = 0.9541, net0_test_acc = 0.8696,     net1_loss = 0.16490, net1_acc = 0.9760, net1_test_acc = 0.9494
Epoch: [ 48] [1700/4000] time: 28081.4917, dice0 = 0.10856, cross0 = 0.1087, kl0 = 0.0228, exclusion0 = 0.1213,     dice1 = 0.06318, cross1 = 0.0560, kl1 = 0.0143, exclusion1 = 0.0772
1.112531
Epoch: [ 48] [1750/4000] time: 28088.9580, net0_loss = 0.06646, net0_acc = 0.9910, net0_test_acc = 0.8925,     net1_loss = 0.19020, net1_acc = 0.9717, net1_test_acc = 0.9617
Epoch: [ 48] [1750/4000] time: 28088.9581, dice0 = 0.02706, cross0 = 0.0212, kl0 = 0.0034, exclusion0 = 0.0329,     dice1 = 0.07186, cross1 = 0.0689, kl1 = 0.0132, exclusion1 = 0.0856
1.1404666
Epoch: [ 48] [1800/4000] time: 28096.4611, net0_loss = 0.07647, net0_acc = 0.9890, net0_test_acc = 0.9696,     net1_loss = 0.21171, net1_acc = 0.9652, net1_test_acc = 0.9233
Epoch: [ 48] [1800/4000] time: 28096.4612, dice0 = 0.03056, cross0 = 0.0277, kl0 = 0.0028, exclusion0 = 0.0336,     dice1 = 0.07637, cross1 = 0.1046, kl1 = 0.0081, exclusion1 = 0.0533
1.1622626
Epoch: [ 48] [1850/4000] time: 28103.8278, net0_loss = 0.18151, net0_acc = 0.9750, net0_test_acc = 0.9141,     net1_loss = 0.18974, net1_acc = 0.9689, net1_test_acc = 0.9728
Epoch: [ 48] [1850/4000] time: 28103.8279, dice0 = 0.06354, cross0 = 0.0653, kl0 = 0.0214, exclusion0 = 0.0839,     dice1 = 0.06851, cross1 = 0.0786, kl1 = 0.0137, exclusion1 = 0.0715
1.183599
Epoch: [ 48] [1900/4000] time: 28111.1141, net0_loss = 0.10651, net0_acc = 0.9820, net0_test_acc = 0.9825,     net1_loss = 0.18473, net1_acc = 0.9664, net1_test_acc = 0.9530
Epoch: [ 48] [1900/4000] time: 28111.1141, dice0 = 0.04079, cross0 = 0.0462, kl0 = 0.0035, exclusion0 = 0.0356,     dice1 = 0.07086, cross1 = 0.0897, kl1 = 0.0031, exclusion1 = 0.0451
1.1578981
Epoch: [ 48] [1950/4000] time: 28118.6654, net0_loss = 0.03861, net0_acc = 0.9954, net0_test_acc = 0.7544,     net1_loss = 0.22471, net1_acc = 0.9592, net1_test_acc = 0.9127
Epoch: [ 48] [1950/4000] time: 28118.6655, dice0 = 0.01531, cross0 = 0.0114, kl0 = 0.0020, exclusion0 = 0.0218,     dice1 = 0.08430, cross1 = 0.1042, kl1 = 0.0088, exclusion1 = 0.0636
1.1410105
Epoch: [ 48] [2000/4000] time: 28126.0534, net0_loss = 0.10190, net0_acc = 0.9814, net0_test_acc = 0.9514,     net1_loss = 0.05569, net1_acc = 0.9924, net1_test_acc = 0.9435
Epoch: [ 48] [2000/4000] time: 28126.0534, dice0 = 0.03935, cross0 = 0.0475, kl0 = 0.0031, exclusion0 = 0.0271,     dice1 = 0.02258, cross1 = 0.0195, kl1 = 0.0020, exclusion1 = 0.0252
1.0963856
Epoch: [ 48] [2050/4000] time: 28133.4277, net0_loss = 0.11881, net0_acc = 0.9826, net0_test_acc = 0.9402,     net1_loss = 0.06800, net1_acc = 0.9885, net1_test_acc = 0.9609
Epoch: [ 48] [2050/4000] time: 28133.4278, dice0 = 0.04487, cross0 = 0.0473, kl0 = 0.0056, exclusion0 = 0.0477,     dice1 = 0.02753, cross1 = 0.0273, kl1 = 0.0017, exclusion1 = 0.0246
1.1532211
Epoch: [ 48] [2100/4000] time: 28140.9303, net0_loss = 0.13296, net0_acc = 0.9791, net0_test_acc = 0.9376,     net1_loss = 0.11655, net1_acc = 0.9822, net1_test_acc = 0.9292
Epoch: [ 48] [2100/4000] time: 28140.9303, dice0 = 0.04255, cross0 = 0.0730, kl0 = 0.0063, exclusion0 = 0.0286,     dice1 = 0.04384, cross1 = 0.0427, kl1 = 0.0086, exclusion1 = 0.0515
1.2552354
Epoch: [ 48] [2150/4000] time: 28148.3391, net0_loss = 0.20934, net0_acc = 0.9694, net0_test_acc = 0.8118,     net1_loss = 0.20263, net1_acc = 0.9660, net1_test_acc = 0.9447
Epoch: [ 48] [2150/4000] time: 28148.3391, dice0 = 0.06787, cross0 = 0.1040, kl0 = 0.0116, exclusion0 = 0.0633,     dice1 = 0.07626, cross1 = 0.0806, kl1 = 0.0138, exclusion1 = 0.0778
1.1193941
Epoch: [ 48] [2200/4000] time: 28155.7395, net0_loss = 0.04495, net0_acc = 0.9948, net0_test_acc = 0.9106,     net1_loss = 0.14715, net1_acc = 0.9776, net1_test_acc = 0.8861
Epoch: [ 48] [2200/4000] time: 28155.7396, dice0 = 0.01751, cross0 = 0.0137, kl0 = 0.0033, exclusion0 = 0.0241,     dice1 = 0.05513, cross1 = 0.0560, kl1 = 0.0103, exclusion1 = 0.0617
1.2048858
Epoch: [ 48] [2250/4000] time: 28162.9850, net0_loss = 0.44105, net0_acc = 0.9297, net0_test_acc = 0.9586,     net1_loss = 0.22186, net1_acc = 0.9619, net1_test_acc = 0.9350
Epoch: [ 48] [2250/4000] time: 28162.9851, dice0 = 0.13706, cross0 = 0.2488, kl0 = 0.0212, exclusion0 = 0.0893,     dice1 = 0.08315, cross1 = 0.1000, kl1 = 0.0083, exclusion1 = 0.0691
1.1496823
Epoch: [ 48] [2300/4000] time: 28170.5166, net0_loss = 0.17229, net0_acc = 0.9728, net0_test_acc = 0.8341,     net1_loss = 0.12071, net1_acc = 0.9791, net1_test_acc = 0.9362
Epoch: [ 48] [2300/4000] time: 28170.5167, dice0 = 0.06760, cross0 = 0.0641, kl0 = 0.0089, exclusion0 = 0.0723,     dice1 = 0.04763, cross1 = 0.0500, kl1 = 0.0040, exclusion1 = 0.0421
1.1253546
Epoch: [ 48] [2350/4000] time: 28177.9468, net0_loss = 0.08218, net0_acc = 0.9865, net0_test_acc = 0.9675,     net1_loss = 0.15250, net1_acc = 0.9756, net1_test_acc = 0.9600
Epoch: [ 48] [2350/4000] time: 28177.9469, dice0 = 0.03372, cross0 = 0.0323, kl0 = 0.0019, exclusion0 = 0.0305,     dice1 = 0.06063, cross1 = 0.0574, kl1 = 0.0058, exclusion1 = 0.0632
1.1664697
Epoch: [ 48] [2400/4000] time: 28185.3217, net0_loss = 0.24943, net0_acc = 0.9581, net0_test_acc = 0.9506,     net1_loss = 0.19137, net1_acc = 0.9678, net1_test_acc = 0.9905
Epoch: [ 48] [2400/4000] time: 28185.3217, dice0 = 0.08941, cross0 = 0.1148, kl0 = 0.0141, exclusion0 = 0.0763,     dice1 = 0.06951, cross1 = 0.0902, kl1 = 0.0076, exclusion1 = 0.0557
1.1676786
Epoch: [ 48] [2450/4000] time: 28192.7530, net0_loss = 0.12919, net0_acc = 0.9803, net0_test_acc = 0.9613,     net1_loss = 0.16146, net1_acc = 0.9737, net1_test_acc = 0.9145
Epoch: [ 48] [2450/4000] time: 28192.7531, dice0 = 0.04858, cross0 = 0.0561, kl0 = 0.0062, exclusion0 = 0.0427,     dice1 = 0.06211, cross1 = 0.0646, kl1 = 0.0100, exclusion1 = 0.0596
1.0944754
Epoch: [ 48] [2500/4000] time: 28200.1306, net0_loss = 0.11596, net0_acc = 0.9828, net0_test_acc = 0.8702,     net1_loss = 0.08931, net1_acc = 0.9862, net1_test_acc = 0.9089
Epoch: [ 48] [2500/4000] time: 28200.1306, dice0 = 0.04549, cross0 = 0.0405, kl0 = 0.0073, exclusion0 = 0.0527,     dice1 = 0.03634, cross1 = 0.0337, kl1 = 0.0026, exclusion1 = 0.0360
1.1430252
Epoch: [ 48] [2550/4000] time: 28207.5569, net0_loss = 0.16463, net0_acc = 0.9705, net0_test_acc = 0.8081,     net1_loss = 0.14842, net1_acc = 0.9794, net1_test_acc = 0.9714
Epoch: [ 48] [2550/4000] time: 28207.5570, dice0 = 0.06475, cross0 = 0.0718, kl0 = 0.0047, exclusion0 = 0.0514,     dice1 = 0.05844, cross1 = 0.0490, kl1 = 0.0076, exclusion1 = 0.0744
1.1055613
Epoch: [ 48] [2600/4000] time: 28214.9659, net0_loss = 0.06303, net0_acc = 0.9929, net0_test_acc = 0.9850,     net1_loss = 0.05884, net1_acc = 0.9917, net1_test_acc = 0.8742
Epoch: [ 48] [2600/4000] time: 28214.9660, dice0 = 0.02068, cross0 = 0.0260, kl0 = 0.0052, exclusion0 = 0.0276,     dice1 = 0.02113, cross1 = 0.0281, kl1 = 0.0015, exclusion1 = 0.0177
1.190336
Epoch: [ 48] [2650/4000] time: 28222.3874, net0_loss = 0.08991, net0_acc = 0.9861, net0_test_acc = 0.9375,     net1_loss = 0.07187, net1_acc = 0.9899, net1_test_acc = 0.9637
Epoch: [ 48] [2650/4000] time: 28222.3875, dice0 = 0.03584, cross0 = 0.0339, kl0 = 0.0042, exclusion0 = 0.0362,     dice1 = 0.02652, cross1 = 0.0295, kl1 = 0.0040, exclusion1 = 0.0277
1.2261856
Epoch: [ 48] [2700/4000] time: 28229.8096, net0_loss = 0.14819, net0_acc = 0.9738, net0_test_acc = 0.8926,     net1_loss = 0.13150, net1_acc = 0.9780, net1_test_acc = 0.9214
Epoch: [ 48] [2700/4000] time: 28229.8097, dice0 = 0.05683, cross0 = 0.0680, kl0 = 0.0056, exclusion0 = 0.0412,     dice1 = 0.05174, cross1 = 0.0553, kl1 = 0.0041, exclusion1 = 0.0449
1.1032246
Epoch: [ 48] [2750/4000] time: 28237.2372, net0_loss = 0.16911, net0_acc = 0.9751, net0_test_acc = 0.9548,     net1_loss = 0.09563, net1_acc = 0.9839, net1_test_acc = 0.8986
Epoch: [ 48] [2750/4000] time: 28237.2373, dice0 = 0.06006, cross0 = 0.0630, kl0 = 0.0157, exclusion0 = 0.0763,     dice1 = 0.03783, cross1 = 0.0368, kl1 = 0.0040, exclusion1 = 0.0381
1.2075435
Epoch: [ 48] [2800/4000] time: 28244.6123, net0_loss = 0.11711, net0_acc = 0.9810, net0_test_acc = 0.9707,     net1_loss = 0.11459, net1_acc = 0.9817, net1_test_acc = 0.9535
Epoch: [ 48] [2800/4000] time: 28244.6124, dice0 = 0.04640, cross0 = 0.0478, kl0 = 0.0043, exclusion0 = 0.0415,     dice1 = 0.04028, cross1 = 0.0552, kl1 = 0.0059, exclusion1 = 0.0323
1.2727196
Epoch: [ 48] [2850/4000] time: 28252.0251, net0_loss = 0.55123, net0_acc = 0.9109, net0_test_acc = 0.9538,     net1_loss = 0.13029, net1_acc = 0.9773, net1_test_acc = 0.9500
Epoch: [ 48] [2850/4000] time: 28252.0252, dice0 = 0.17593, cross0 = 0.2935, kl0 = 0.0267, exclusion0 = 0.1369,     dice1 = 0.05248, cross1 = 0.0562, kl1 = 0.0044, exclusion1 = 0.0388
1.182271
Epoch: [ 48] [2900/4000] time: 28259.4460, net0_loss = 0.22281, net0_acc = 0.9637, net0_test_acc = 0.9442,     net1_loss = 0.15142, net1_acc = 0.9825, net1_test_acc = 0.7784
Epoch: [ 48] [2900/4000] time: 28259.4461, dice0 = 0.08222, cross0 = 0.0977, kl0 = 0.0115, exclusion0 = 0.0742,     dice1 = 0.04262, cross1 = 0.0903, kl1 = 0.0047, exclusion1 = 0.0323
1.2935706
Epoch: [ 48] [2950/4000] time: 28266.8690, net0_loss = 0.34249, net0_acc = 0.9406, net0_test_acc = 0.8659,     net1_loss = 0.21107, net1_acc = 0.9663, net1_test_acc = 0.9012
Epoch: [ 48] [2950/4000] time: 28266.8690, dice0 = 0.12420, cross0 = 0.1671, kl0 = 0.0098, exclusion0 = 0.0927,     dice1 = 0.07834, cross1 = 0.0870, kl1 = 0.0115, exclusion1 = 0.0800
1.1915421
Epoch: [ 48] [3000/4000] time: 28274.2378, net0_loss = 0.11583, net0_acc = 0.9813, net0_test_acc = 0.9129,     net1_loss = 0.13524, net1_acc = 0.9752, net1_test_acc = 0.8133
Epoch: [ 48] [3000/4000] time: 28274.2379, dice0 = 0.04497, cross0 = 0.0470, kl0 = 0.0054, exclusion0 = 0.0423,     dice1 = 0.05312, cross1 = 0.0585, kl1 = 0.0051, exclusion1 = 0.0422
1.223084
Epoch: [ 48] [3050/4000] time: 28281.6364, net0_loss = 0.12963, net0_acc = 0.9799, net0_test_acc = 0.9170,     net1_loss = 0.22905, net1_acc = 0.9647, net1_test_acc = 0.9375
Epoch: [ 48] [3050/4000] time: 28281.6364, dice0 = 0.05100, cross0 = 0.0520, kl0 = 0.0055, exclusion0 = 0.0479,     dice1 = 0.07927, cross1 = 0.1044, kl1 = 0.0143, exclusion1 = 0.0765
1.2446892
Epoch: [ 48] [3100/4000] time: 28289.0494, net0_loss = 0.12946, net0_acc = 0.9788, net0_test_acc = 0.9276,     net1_loss = 0.10472, net1_acc = 0.9810, net1_test_acc = 0.9380
Epoch: [ 48] [3100/4000] time: 28289.0494, dice0 = 0.05023, cross0 = 0.0536, kl0 = 0.0047, exclusion0 = 0.0465,     dice1 = 0.04130, cross1 = 0.0479, kl1 = 0.0016, exclusion1 = 0.0295
1.2172024
Epoch: [ 48] [3150/4000] time: 28296.4039, net0_loss = 0.12085, net0_acc = 0.9814, net0_test_acc = 0.9718,     net1_loss = 0.12560, net1_acc = 0.9823, net1_test_acc = 0.9282
Epoch: [ 48] [3150/4000] time: 28296.4040, dice0 = 0.04441, cross0 = 0.0524, kl0 = 0.0065, exclusion0 = 0.0414,     dice1 = 0.04823, cross1 = 0.0435, kl1 = 0.0105, exclusion1 = 0.0573
1.1712692
Epoch: [ 48] [3200/4000] time: 28303.8879, net0_loss = 0.12736, net0_acc = 0.9805, net0_test_acc = 0.9703,     net1_loss = 0.20518, net1_acc = 0.9665, net1_test_acc = 0.8663
Epoch: [ 48] [3200/4000] time: 28303.8879, dice0 = 0.05190, cross0 = 0.0437, kl0 = 0.0057, exclusion0 = 0.0578,     dice1 = 0.07888, cross1 = 0.0815, kl1 = 0.0100, exclusion1 = 0.0797
1.1681112
Epoch: [ 48] [3250/4000] time: 28311.3187, net0_loss = 0.30952, net0_acc = 0.9484, net0_test_acc = 0.9558,     net1_loss = 0.13614, net1_acc = 0.9754, net1_test_acc = 0.9815
Epoch: [ 48] [3250/4000] time: 28311.3188, dice0 = 0.11550, cross0 = 0.1311, kl0 = 0.0163, exclusion0 = 0.1095,     dice1 = 0.05379, cross1 = 0.0583, kl1 = 0.0038, exclusion1 = 0.0443
1.1181188
Epoch: [ 48] [3300/4000] time: 28318.7108, net0_loss = 0.10818, net0_acc = 0.9837, net0_test_acc = 0.8710,     net1_loss = 0.22230, net1_acc = 0.9687, net1_test_acc = 0.8820
Epoch: [ 48] [3300/4000] time: 28318.7109, dice0 = 0.04201, cross0 = 0.0389, kl0 = 0.0066, exclusion0 = 0.0480,     dice1 = 0.07671, cross1 = 0.0872, kl1 = 0.0226, exclusion1 = 0.0941
1.1489453
Epoch: [ 48] [3350/4000] time: 28326.1071, net0_loss = 0.21065, net0_acc = 0.9680, net0_test_acc = 0.9288,     net1_loss = 0.55852, net1_acc = 0.9136, net1_test_acc = 0.8930
Epoch: [ 48] [3350/4000] time: 28326.1072, dice0 = 0.07636, cross0 = 0.0776, kl0 = 0.0199, exclusion0 = 0.0934,     dice1 = 0.16173, cross1 = 0.3742, kl1 = 0.0042, exclusion1 = 0.0410
1.119939
Epoch: [ 48] [3400/4000] time: 28333.5195, net0_loss = 0.09035, net0_acc = 0.9866, net0_test_acc = 0.9577,     net1_loss = 0.20495, net1_acc = 0.9692, net1_test_acc = 0.9477
Epoch: [ 48] [3400/4000] time: 28333.5195, dice0 = 0.03298, cross0 = 0.0383, kl0 = 0.0041, exclusion0 = 0.0340,     dice1 = 0.08099, cross1 = 0.0728, kl1 = 0.0109, exclusion1 = 0.0913
1.1358604
Epoch: [ 48] [3450/4000] time: 28340.9133, net0_loss = 0.11979, net0_acc = 0.9812, net0_test_acc = 0.9285,     net1_loss = 0.17525, net1_acc = 0.9689, net1_test_acc = 0.9902
Epoch: [ 48] [3450/4000] time: 28340.9134, dice0 = 0.04525, cross0 = 0.0444, kl0 = 0.0092, exclusion0 = 0.0512,     dice1 = 0.06716, cross1 = 0.0859, kl1 = 0.0033, exclusion1 = 0.0410
1.1395562
Epoch: [ 48] [3500/4000] time: 28348.3368, net0_loss = 0.16169, net0_acc = 0.9751, net0_test_acc = 0.9475,     net1_loss = 0.13755, net1_acc = 0.9768, net1_test_acc = 0.7939
Epoch: [ 48] [3500/4000] time: 28348.3369, dice0 = 0.06276, cross0 = 0.0587, kl0 = 0.0084, exclusion0 = 0.0722,     dice1 = 0.05411, cross1 = 0.0614, kl1 = 0.0028, exclusion1 = 0.0412
1.0661645
Epoch: [ 48] [3550/4000] time: 28355.7664, net0_loss = 0.10459, net0_acc = 0.9832, net0_test_acc = 0.8820,     net1_loss = 0.11045, net1_acc = 0.9813, net1_test_acc = 0.9857
Epoch: [ 48] [3550/4000] time: 28355.7665, dice0 = 0.04147, cross0 = 0.0387, kl0 = 0.0054, exclusion0 = 0.0435,     dice1 = 0.04125, cross1 = 0.0544, kl1 = 0.0029, exclusion1 = 0.0267
1.1362258
Epoch: [ 48] [3600/4000] time: 28363.1099, net0_loss = 0.08084, net0_acc = 0.9879, net0_test_acc = 0.9700,     net1_loss = 0.06574, net1_acc = 0.9903, net1_test_acc = 0.9054
Epoch: [ 48] [3600/4000] time: 28363.1100, dice0 = 0.03202, cross0 = 0.0299, kl0 = 0.0032, exclusion0 = 0.0346,     dice1 = 0.02584, cross1 = 0.0258, kl1 = 0.0021, exclusion1 = 0.0260
1.1441555
Epoch: [ 48] [3650/4000] time: 28370.5431, net0_loss = 0.23510, net0_acc = 0.9600, net0_test_acc = 0.8672,     net1_loss = 0.37268, net1_acc = 0.9304, net1_test_acc = 0.9085
Epoch: [ 48] [3650/4000] time: 28370.5431, dice0 = 0.08212, cross0 = 0.1273, kl0 = 0.0043, exclusion0 = 0.0470,     dice1 = 0.13063, cross1 = 0.1742, kl1 = 0.0267, exclusion1 = 0.1091
1.1806893
Epoch: [ 48] [3700/4000] time: 28377.9541, net0_loss = 0.12464, net0_acc = 0.9839, net0_test_acc = 0.9180,     net1_loss = 0.17707, net1_acc = 0.9716, net1_test_acc = 0.7757
Epoch: [ 48] [3700/4000] time: 28377.9542, dice0 = 0.04259, cross0 = 0.0451, kl0 = 0.0144, exclusion0 = 0.0596,     dice1 = 0.06261, cross1 = 0.0896, kl1 = 0.0063, exclusion1 = 0.0434
1.194685
Epoch: [ 48] [3750/4000] time: 28385.3740, net0_loss = 0.13888, net0_acc = 0.9758, net0_test_acc = 0.8874,     net1_loss = 0.23645, net1_acc = 0.9632, net1_test_acc = 0.9189
Epoch: [ 48] [3750/4000] time: 28385.3741, dice0 = 0.05557, cross0 = 0.0572, kl0 = 0.0041, exclusion0 = 0.0482,     dice1 = 0.08642, cross1 = 0.0926, kl1 = 0.0222, exclusion1 = 0.0927
1.2090182
Epoch: [ 48] [3800/4000] time: 28392.7887, net0_loss = 0.13122, net0_acc = 0.9785, net0_test_acc = 0.9312,     net1_loss = 0.36203, net1_acc = 0.9437, net1_test_acc = 0.9214
Epoch: [ 48] [3800/4000] time: 28392.7889, dice0 = 0.05043, cross0 = 0.0544, kl0 = 0.0058, exclusion0 = 0.0470,     dice1 = 0.12304, cross1 = 0.1569, kl1 = 0.0295, exclusion1 = 0.1346
1.1600101
Epoch: [ 48] [3850/4000] time: 28400.1788, net0_loss = 0.25448, net0_acc = 0.9533, net0_test_acc = 0.8760,     net1_loss = 0.25002, net1_acc = 0.9596, net1_test_acc = 0.9090
Epoch: [ 48] [3850/4000] time: 28400.1788, dice0 = 0.09423, cross0 = 0.1224, kl0 = 0.0089, exclusion0 = 0.0669,     dice1 = 0.08960, cross1 = 0.1165, kl1 = 0.0134, exclusion1 = 0.0745
1.1516553
Epoch: [ 48] [3900/4000] time: 28407.5101, net0_loss = 0.16815, net0_acc = 0.9701, net0_test_acc = 0.8913,     net1_loss = 0.02973, net1_acc = 0.9969, net1_test_acc = 0.9436
Epoch: [ 48] [3900/4000] time: 28407.5101, dice0 = 0.06625, cross0 = 0.0692, kl0 = 0.0081, exclusion0 = 0.0573,     dice1 = 0.01223, cross1 = 0.0093, kl1 = 0.0011, exclusion1 = 0.0153
1.1289406
Epoch: [ 48] [3950/4000] time: 28415.0188, net0_loss = 0.04389, net0_acc = 0.9942, net0_test_acc = 0.9821,     net1_loss = 0.15069, net1_acc = 0.9732, net1_test_acc = 0.9877
Epoch: [ 48] [3950/4000] time: 28415.0189, dice0 = 0.01742, cross0 = 0.0148, kl0 = 0.0021, exclusion0 = 0.0213,     dice1 = 0.05830, cross1 = 0.0707, kl1 = 0.0026, exclusion1 = 0.0407
1.1676304
Epoch: [ 49] [  0/4000] time: 28422.4328, net0_loss = 0.08088, net0_acc = 0.9890, net0_test_acc = 0.9652,     net1_loss = 0.15142, net1_acc = 0.9763, net1_test_acc = 0.9570
Epoch: [ 49] [  0/4000] time: 28422.4329, dice0 = 0.03030, cross0 = 0.0263, kl0 = 0.0084, exclusion0 = 0.0402,     dice1 = 0.06165, cross1 = 0.0538, kl1 = 0.0051, exclusion1 = 0.0669
1.1810801
Epoch: [ 49] [ 50/4000] time: 28429.8481, net0_loss = 0.06485, net0_acc = 0.9907, net0_test_acc = 0.9722,     net1_loss = 0.15714, net1_acc = 0.9759, net1_test_acc = 0.9293
Epoch: [ 49] [ 50/4000] time: 28429.8482, dice0 = 0.02493, cross0 = 0.0244, kl0 = 0.0028, exclusion0 = 0.0282,     dice1 = 0.06006, cross1 = 0.0550, kl1 = 0.0121, exclusion1 = 0.0721
1.1673938
Epoch: [ 49] [100/4000] time: 28437.2671, net0_loss = 0.12010, net0_acc = 0.9839, net0_test_acc = 0.8838,     net1_loss = 0.06484, net1_acc = 0.9919, net1_test_acc = 0.9875
Epoch: [ 49] [100/4000] time: 28437.2672, dice0 = 0.04478, cross0 = 0.0411, kl0 = 0.0087, exclusion0 = 0.0597,     dice1 = 0.02556, cross1 = 0.0215, kl1 = 0.0057, exclusion1 = 0.0299
1.2164536
Epoch: [ 49] [150/4000] time: 28444.6635, net0_loss = 0.30650, net0_acc = 0.9458, net0_test_acc = 0.9283,     net1_loss = 0.19994, net1_acc = 0.9656, net1_test_acc = 0.9896
Epoch: [ 49] [150/4000] time: 28444.6636, dice0 = 0.11584, cross0 = 0.1282, kl0 = 0.0179, exclusion0 = 0.1070,     dice1 = 0.07890, cross1 = 0.0782, kl1 = 0.0092, exclusion1 = 0.0765
1.3004632
Epoch: [ 49] [200/4000] time: 28452.0732, net0_loss = 0.11586, net0_acc = 0.9828, net0_test_acc = 0.9031,     net1_loss = 0.04182, net1_acc = 0.9948, net1_test_acc = 0.9107
Epoch: [ 49] [200/4000] time: 28452.0733, dice0 = 0.04305, cross0 = 0.0439, kl0 = 0.0084, exclusion0 = 0.0495,     dice1 = 0.01708, cross1 = 0.0133, kl1 = 0.0018, exclusion1 = 0.0211
1.1750419
Epoch: [ 49] [250/4000] time: 28459.4850, net0_loss = 0.09076, net0_acc = 0.9845, net0_test_acc = 0.9678,     net1_loss = 0.06346, net1_acc = 0.9894, net1_test_acc = 0.9610
Epoch: [ 49] [250/4000] time: 28459.4851, dice0 = 0.03558, cross0 = 0.0402, kl0 = 0.0019, exclusion0 = 0.0281,     dice1 = 0.02480, cross1 = 0.0277, kl1 = 0.0020, exclusion1 = 0.0200
1.2471037
Epoch: [ 49] [300/4000] time: 28466.8676, net0_loss = 0.14943, net0_acc = 0.9747, net0_test_acc = 0.7468,     net1_loss = 0.17794, net1_acc = 0.9704, net1_test_acc = 0.9003
Epoch: [ 49] [300/4000] time: 28466.8676, dice0 = 0.05883, cross0 = 0.0655, kl0 = 0.0033, exclusion0 = 0.0469,     dice1 = 0.06678, cross1 = 0.0818, kl1 = 0.0065, exclusion1 = 0.0523
1.1225889
Epoch: [ 49] [350/4000] time: 28474.1590, net0_loss = 0.05972, net0_acc = 0.9913, net0_test_acc = 0.8379,     net1_loss = 0.10070, net1_acc = 0.9854, net1_test_acc = 0.8270
Epoch: [ 49] [350/4000] time: 28474.1592, dice0 = 0.02389, cross0 = 0.0211, kl0 = 0.0030, exclusion0 = 0.0265,     dice1 = 0.03751, cross1 = 0.0374, kl1 = 0.0097, exclusion1 = 0.0419
1.1975694
Epoch: [ 49] [400/4000] time: 28481.6604, net0_loss = 0.19972, net0_acc = 0.9674, net0_test_acc = 0.9860,     net1_loss = 0.06609, net1_acc = 0.9899, net1_test_acc = 0.9679
Epoch: [ 49] [400/4000] time: 28481.6605, dice0 = 0.07604, cross0 = 0.0813, kl0 = 0.0115, exclusion0 = 0.0733,     dice1 = 0.02608, cross1 = 0.0263, kl1 = 0.0022, exclusion1 = 0.0252
1.358375
Epoch: [ 49] [450/4000] time: 28489.1342, net0_loss = 0.17289, net0_acc = 0.9727, net0_test_acc = 0.9355,     net1_loss = 0.06032, net1_acc = 0.9916, net1_test_acc = 0.9419
Epoch: [ 49] [450/4000] time: 28489.1343, dice0 = 0.06420, cross0 = 0.0791, kl0 = 0.0061, exclusion0 = 0.0530,     dice1 = 0.02381, cross1 = 0.0241, kl1 = 0.0021, exclusion1 = 0.0228
1.3462026
Epoch: [ 49] [500/4000] time: 28496.5945, net0_loss = 0.08448, net0_acc = 0.9863, net0_test_acc = 0.9393,     net1_loss = 0.27539, net1_acc = 0.9526, net1_test_acc = 0.9823
Epoch: [ 49] [500/4000] time: 28496.5946, dice0 = 0.03156, cross0 = 0.0395, kl0 = 0.0026, exclusion0 = 0.0243,     dice1 = 0.10009, cross1 = 0.1335, kl1 = 0.0101, exclusion1 = 0.0735
1.2025257
Epoch: [ 49] [550/4000] time: 28503.9461, net0_loss = 0.13859, net0_acc = 0.9766, net0_test_acc = 0.9081,     net1_loss = 0.26970, net1_acc = 0.9548, net1_test_acc = 0.9765
Epoch: [ 49] [550/4000] time: 28503.9461, dice0 = 0.05223, cross0 = 0.0664, kl0 = 0.0025, exclusion0 = 0.0373,     dice1 = 0.09886, cross1 = 0.1267, kl1 = 0.0087, exclusion1 = 0.0796
1.2678
Epoch: [ 49] [600/4000] time: 28511.3650, net0_loss = 0.14925, net0_acc = 0.9741, net0_test_acc = 0.9525,     net1_loss = 0.27576, net1_acc = 0.9619, net1_test_acc = 0.9329
Epoch: [ 49] [600/4000] time: 28511.3651, dice0 = 0.05733, cross0 = 0.0687, kl0 = 0.0046, exclusion0 = 0.0419,     dice1 = 0.09449, cross1 = 0.0877, kl1 = 0.0431, exclusion1 = 0.1440
1.1247318
Epoch: [ 49] [650/4000] time: 28518.8139, net0_loss = 0.05237, net0_acc = 0.9919, net0_test_acc = 0.9471,     net1_loss = 0.26501, net1_acc = 0.9574, net1_test_acc = 0.9411
Epoch: [ 49] [650/4000] time: 28518.8140, dice0 = 0.02075, cross0 = 0.0210, kl0 = 0.0017, exclusion0 = 0.0196,     dice1 = 0.09115, cross1 = 0.1197, kl1 = 0.0213, exclusion1 = 0.0870
1.2580389
Epoch: [ 49] [700/4000] time: 28526.2002, net0_loss = 0.19490, net0_acc = 0.9681, net0_test_acc = 0.9730,     net1_loss = 0.10688, net1_acc = 0.9838, net1_test_acc = 0.9350
Epoch: [ 49] [700/4000] time: 28526.2003, dice0 = 0.07241, cross0 = 0.0877, kl0 = 0.0056, exclusion0 = 0.0641,     dice1 = 0.04035, cross1 = 0.0374, kl1 = 0.0118, exclusion1 = 0.0466
1.212716
Epoch: [ 49] [750/4000] time: 28533.6060, net0_loss = 0.09872, net0_acc = 0.9859, net0_test_acc = 0.7460,     net1_loss = 0.11142, net1_acc = 0.9834, net1_test_acc = 0.9494
Epoch: [ 49] [750/4000] time: 28533.6061, dice0 = 0.03811, cross0 = 0.0331, kl0 = 0.0064, exclusion0 = 0.0485,     dice1 = 0.04444, cross1 = 0.0407, kl1 = 0.0046, exclusion1 = 0.0480
1.2048753
Epoch: [ 49] [800/4000] time: 28541.0541, net0_loss = 0.15478, net0_acc = 0.9785, net0_test_acc = 0.9032,     net1_loss = 0.19734, net1_acc = 0.9686, net1_test_acc = 0.8087
Epoch: [ 49] [800/4000] time: 28541.0542, dice0 = 0.05606, cross0 = 0.0541, kl0 = 0.0132, exclusion0 = 0.0761,     dice1 = 0.07556, cross1 = 0.0764, kl1 = 0.0112, exclusion1 = 0.0795
1.1454237
Epoch: [ 49] [850/4000] time: 28548.4963, net0_loss = 0.28061, net0_acc = 0.9510, net0_test_acc = 0.8844,     net1_loss = 0.08268, net1_acc = 0.9880, net1_test_acc = 0.9638
Epoch: [ 49] [850/4000] time: 28548.4964, dice0 = 0.10227, cross0 = 0.1346, kl0 = 0.0116, exclusion0 = 0.0759,     dice1 = 0.03311, cross1 = 0.0298, kl1 = 0.0033, exclusion1 = 0.0362
1.2290678
Epoch: [ 49] [900/4000] time: 28555.9065, net0_loss = 0.08167, net0_acc = 0.9891, net0_test_acc = 0.9418,     net1_loss = 0.10196, net1_acc = 0.9855, net1_test_acc = 0.9793
Epoch: [ 49] [900/4000] time: 28555.9066, dice0 = 0.03263, cross0 = 0.0267, kl0 = 0.0045, exclusion0 = 0.0402,     dice1 = 0.04154, cross1 = 0.0345, kl1 = 0.0054, exclusion1 = 0.0464
1.256877
Epoch: [ 49] [950/4000] time: 28563.3006, net0_loss = 0.08682, net0_acc = 0.9853, net0_test_acc = 0.9122,     net1_loss = 0.19201, net1_acc = 0.9679, net1_test_acc = 0.9632
Epoch: [ 49] [950/4000] time: 28563.3007, dice0 = 0.03489, cross0 = 0.0357, kl0 = 0.0031, exclusion0 = 0.0293,     dice1 = 0.07299, cross1 = 0.0842, kl1 = 0.0082, exclusion1 = 0.0614
1.1692115
Epoch: [ 49] [1000/4000] time: 28570.6099, net0_loss = 0.16406, net0_acc = 0.9734, net0_test_acc = 0.9548,     net1_loss = 0.20204, net1_acc = 0.9672, net1_test_acc = 0.8975
Epoch: [ 49] [1000/4000] time: 28570.6100, dice0 = 0.06226, cross0 = 0.0704, kl0 = 0.0071, exclusion0 = 0.0557,     dice1 = 0.07480, cross1 = 0.0920, kl1 = 0.0091, exclusion1 = 0.0614
1.1547725
Epoch: [ 49] [1050/4000] time: 28578.1368, net0_loss = 0.11804, net0_acc = 0.9826, net0_test_acc = 0.7660,     net1_loss = 0.09745, net1_acc = 0.9846, net1_test_acc = 0.8163
Epoch: [ 49] [1050/4000] time: 28578.1369, dice0 = 0.04747, cross0 = 0.0426, kl0 = 0.0038, exclusion0 = 0.0521,     dice1 = 0.03788, cross1 = 0.0400, kl1 = 0.0030, exclusion1 = 0.0361
1.2157837
Epoch: [ 49] [1100/4000] time: 28585.5925, net0_loss = 0.11722, net0_acc = 0.9789, net0_test_acc = 0.8077,     net1_loss = 0.19746, net1_acc = 0.9685, net1_test_acc = 0.8392
Epoch: [ 49] [1100/4000] time: 28585.5925, dice0 = 0.04641, cross0 = 0.0525, kl0 = 0.0023, exclusion0 = 0.0343,     dice1 = 0.06657, cross1 = 0.1125, kl1 = 0.0024, exclusion1 = 0.0344
1.1332861
Epoch: [ 49] [1150/4000] time: 28593.0322, net0_loss = 0.08471, net0_acc = 0.9878, net0_test_acc = 0.9803,     net1_loss = 0.08783, net1_acc = 0.9858, net1_test_acc = 0.9511
Epoch: [ 49] [1150/4000] time: 28593.0323, dice0 = 0.03314, cross0 = 0.0324, kl0 = 0.0037, exclusion0 = 0.0346,     dice1 = 0.03340, cross1 = 0.0337, kl1 = 0.0057, exclusion1 = 0.0358
1.1294765
Epoch: [ 49] [1200/4000] time: 28600.4558, net0_loss = 0.19960, net0_acc = 0.9646, net0_test_acc = 0.9904,     net1_loss = 0.17342, net1_acc = 0.9755, net1_test_acc = 0.9477
Epoch: [ 49] [1200/4000] time: 28600.4558, dice0 = 0.07502, cross0 = 0.0913, kl0 = 0.0080, exclusion0 = 0.0585,     dice1 = 0.05849, cross1 = 0.0647, kl1 = 0.0223, exclusion1 = 0.0781
1.1516409
Epoch: [ 49] [1250/4000] time: 28607.8554, net0_loss = 0.13094, net0_acc = 0.9784, net0_test_acc = 0.9513,     net1_loss = 0.16214, net1_acc = 0.9734, net1_test_acc = 0.8134
Epoch: [ 49] [1250/4000] time: 28607.8555, dice0 = 0.04842, cross0 = 0.0635, kl0 = 0.0045, exclusion0 = 0.0335,     dice1 = 0.06195, cross1 = 0.0695, kl1 = 0.0066, exclusion1 = 0.0548
1.1470388
Epoch: [ 49] [1300/4000] time: 28615.2570, net0_loss = 0.16733, net0_acc = 0.9707, net0_test_acc = 0.9799,     net1_loss = 0.15416, net1_acc = 0.9711, net1_test_acc = 0.9074
Epoch: [ 49] [1300/4000] time: 28615.2571, dice0 = 0.06500, cross0 = 0.0697, kl0 = 0.0070, exclusion0 = 0.0582,     dice1 = 0.05889, cross1 = 0.0790, kl1 = 0.0016, exclusion1 = 0.0310
1.2222359
Epoch: [ 49] [1350/4000] time: 28622.6670, net0_loss = 0.13487, net0_acc = 0.9777, net0_test_acc = 0.9757,     net1_loss = 0.14935, net1_acc = 0.9767, net1_test_acc = 0.9673
Epoch: [ 49] [1350/4000] time: 28622.6671, dice0 = 0.05109, cross0 = 0.0548, kl0 = 0.0075, exclusion0 = 0.0504,     dice1 = 0.05969, cross1 = 0.0573, kl1 = 0.0060, exclusion1 = 0.0587
1.2232491
Epoch: [ 49] [1400/4000] time: 28630.0689, net0_loss = 0.09078, net0_acc = 0.9862, net0_test_acc = 0.9394,     net1_loss = 0.24674, net1_acc = 0.9577, net1_test_acc = 0.9776
Epoch: [ 49] [1400/4000] time: 28630.0690, dice0 = 0.03633, cross0 = 0.0329, kl0 = 0.0047, exclusion0 = 0.0383,     dice1 = 0.09006, cross1 = 0.1183, kl1 = 0.0092, exclusion1 = 0.0674
1.17975
Epoch: [ 49] [1450/4000] time: 28637.4215, net0_loss = 0.26980, net0_acc = 0.9495, net0_test_acc = 0.8535,     net1_loss = 0.11610, net1_acc = 0.9810, net1_test_acc = 0.9525
Epoch: [ 49] [1450/4000] time: 28637.4215, dice0 = 0.10250, cross0 = 0.1148, kl0 = 0.0128, exclusion0 = 0.0923,     dice1 = 0.04633, cross1 = 0.0458, kl1 = 0.0051, exclusion1 = 0.0429
1.1231182
Epoch: [ 49] [1500/4000] time: 28644.8978, net0_loss = 0.13321, net0_acc = 0.9799, net0_test_acc = 0.8944,     net1_loss = 0.18384, net1_acc = 0.9722, net1_test_acc = 0.9612
Epoch: [ 49] [1500/4000] time: 28644.8978, dice0 = 0.05366, cross0 = 0.0470, kl0 = 0.0050, exclusion0 = 0.0601,     dice1 = 0.07290, cross1 = 0.0640, kl1 = 0.0105, exclusion1 = 0.0833
1.114105
Epoch: [ 49] [1550/4000] time: 28652.2822, net0_loss = 0.12121, net0_acc = 0.9814, net0_test_acc = 0.9685,     net1_loss = 0.38150, net1_acc = 0.9506, net1_test_acc = 0.9472
Epoch: [ 49] [1550/4000] time: 28652.2823, dice0 = 0.04436, cross0 = 0.0524, kl0 = 0.0073, exclusion0 = 0.0417,     dice1 = 0.10729, cross1 = 0.2345, kl1 = 0.0125, exclusion1 = 0.0670
1.1106808
Epoch: [ 49] [1600/4000] time: 28659.7022, net0_loss = 0.21133, net0_acc = 0.9642, net0_test_acc = 0.9145,     net1_loss = 0.13617, net1_acc = 0.9771, net1_test_acc = 0.9727
Epoch: [ 49] [1600/4000] time: 28659.7022, dice0 = 0.07748, cross0 = 0.0994, kl0 = 0.0094, exclusion0 = 0.0595,     dice1 = 0.05354, cross1 = 0.0562, kl1 = 0.0046, exclusion1 = 0.0483
1.099288
Epoch: [ 49] [1650/4000] time: 28667.1053, net0_loss = 0.24715, net0_acc = 0.9547, net0_test_acc = 0.9807,     net1_loss = 0.07743, net1_acc = 0.9872, net1_test_acc = 0.9530
Epoch: [ 49] [1650/4000] time: 28667.1054, dice0 = 0.09407, cross0 = 0.1103, kl0 = 0.0116, exclusion0 = 0.0740,     dice1 = 0.03069, cross1 = 0.0297, kl1 = 0.0034, exclusion1 = 0.0306
1.1689866
Epoch: [ 49] [1700/4000] time: 28674.5054, net0_loss = 0.05121, net0_acc = 0.9932, net0_test_acc = 0.7383,     net1_loss = 0.03944, net1_acc = 0.9952, net1_test_acc = 0.9167
Epoch: [ 49] [1700/4000] time: 28674.5055, dice0 = 0.02003, cross0 = 0.0172, kl0 = 0.0026, exclusion0 = 0.0254,     dice1 = 0.01570, cross1 = 0.0133, kl1 = 0.0020, exclusion1 = 0.0189
1.1494277
Epoch: [ 49] [1750/4000] time: 28681.8818, net0_loss = 0.09272, net0_acc = 0.9839, net0_test_acc = 0.9541,     net1_loss = 0.11136, net1_acc = 0.9822, net1_test_acc = 0.9485
Epoch: [ 49] [1750/4000] time: 28681.8819, dice0 = 0.03630, cross0 = 0.0389, kl0 = 0.0040, exclusion0 = 0.0311,     dice1 = 0.04297, cross1 = 0.0438, kl1 = 0.0056, exclusion1 = 0.0435
1.1197734
Epoch: [ 49] [1800/4000] time: 28689.3100, net0_loss = 0.29152, net0_acc = 0.9507, net0_test_acc = 0.9379,     net1_loss = 0.24948, net1_acc = 0.9586, net1_test_acc = 0.9573
Epoch: [ 49] [1800/4000] time: 28689.3101, dice0 = 0.09665, cross0 = 0.1429, kl0 = 0.0217, exclusion0 = 0.0823,     dice1 = 0.08777, cross1 = 0.1233, kl1 = 0.0130, exclusion1 = 0.0638
1.178433
Epoch: [ 49] [1850/4000] time: 28696.7608, net0_loss = 0.17858, net0_acc = 0.9712, net0_test_acc = 0.9395,     net1_loss = 0.04375, net1_acc = 0.9943, net1_test_acc = 0.9314
Epoch: [ 49] [1850/4000] time: 28696.7608, dice0 = 0.06655, cross0 = 0.0703, kl0 = 0.0128, exclusion0 = 0.0706,     dice1 = 0.01802, cross1 = 0.0160, kl1 = 0.0011, exclusion1 = 0.0183
1.0661048
Epoch: [ 49] [1900/4000] time: 28704.2523, net0_loss = 0.18286, net0_acc = 0.9734, net0_test_acc = 0.8256,     net1_loss = 0.19908, net1_acc = 0.9677, net1_test_acc = 0.9417
Epoch: [ 49] [1900/4000] time: 28704.2523, dice0 = 0.05786, cross0 = 0.1061, kl0 = 0.0047, exclusion0 = 0.0330,     dice1 = 0.07845, cross1 = 0.0811, kl1 = 0.0068, exclusion1 = 0.0723
1.0989268
Epoch: [ 49] [1950/4000] time: 28711.6760, net0_loss = 0.14240, net0_acc = 0.9748, net0_test_acc = 0.8957,     net1_loss = 0.11027, net1_acc = 0.9809, net1_test_acc = 0.9399
Epoch: [ 49] [1950/4000] time: 28711.6760, dice0 = 0.05537, cross0 = 0.0622, kl0 = 0.0031, exclusion0 = 0.0466,     dice1 = 0.04216, cross1 = 0.0495, kl1 = 0.0043, exclusion1 = 0.0329
1.1541638
Epoch: [ 49] [2000/4000] time: 28719.0653, net0_loss = 0.20671, net0_acc = 0.9635, net0_test_acc = 0.9679,     net1_loss = 0.16420, net1_acc = 0.9717, net1_test_acc = 0.9246
Epoch: [ 49] [2000/4000] time: 28719.0654, dice0 = 0.07894, cross0 = 0.0898, kl0 = 0.0098, exclusion0 = 0.0661,     dice1 = 0.06330, cross1 = 0.0749, kl1 = 0.0054, exclusion1 = 0.0467
1.1000959
Epoch: [ 49] [2050/4000] time: 28726.4701, net0_loss = 0.07653, net0_acc = 0.9885, net0_test_acc = 0.8287,     net1_loss = 0.15214, net1_acc = 0.9781, net1_test_acc = 0.9386
Epoch: [ 49] [2050/4000] time: 28726.4701, dice0 = 0.02972, cross0 = 0.0278, kl0 = 0.0040, exclusion0 = 0.0339,     dice1 = 0.06021, cross1 = 0.0551, kl1 = 0.0061, exclusion1 = 0.0675
1.1760186
Epoch: [ 49] [2100/4000] time: 28733.9184, net0_loss = 0.22858, net0_acc = 0.9622, net0_test_acc = 0.9719,     net1_loss = 0.31787, net1_acc = 0.9479, net1_test_acc = 0.9584
Epoch: [ 49] [2100/4000] time: 28733.9184, dice0 = 0.07653, cross0 = 0.1167, kl0 = 0.0131, exclusion0 = 0.0577,     dice1 = 0.11564, cross1 = 0.1462, kl1 = 0.0101, exclusion1 = 0.1020
1.1067113
Epoch: [ 49] [2150/4000] time: 28741.2807, net0_loss = 0.10109, net0_acc = 0.9819, net0_test_acc = 0.9484,     net1_loss = 0.07206, net1_acc = 0.9888, net1_test_acc = 0.9905
Epoch: [ 49] [2150/4000] time: 28741.2809, dice0 = 0.03863, cross0 = 0.0475, kl0 = 0.0027, exclusion0 = 0.0273,     dice1 = 0.02954, cross1 = 0.0261, kl1 = 0.0018, exclusion1 = 0.0309
1.0674293
Epoch: [ 49] [2200/4000] time: 28748.7299, net0_loss = 0.15230, net0_acc = 0.9747, net0_test_acc = 0.9617,     net1_loss = 0.04019, net1_acc = 0.9954, net1_test_acc = 0.9148
Epoch: [ 49] [2200/4000] time: 28748.7300, dice0 = 0.05832, cross0 = 0.0641, kl0 = 0.0061, exclusion0 = 0.0535,     dice1 = 0.01666, cross1 = 0.0123, kl1 = 0.0011, exclusion1 = 0.0214
1.1116928
Epoch: [ 49] [2250/4000] time: 28756.1105, net0_loss = 0.07364, net0_acc = 0.9893, net0_test_acc = 0.8630,     net1_loss = 0.03974, net1_acc = 0.9951, net1_test_acc = 0.9032
Epoch: [ 49] [2250/4000] time: 28756.1105, dice0 = 0.02997, cross0 = 0.0267, kl0 = 0.0026, exclusion0 = 0.0314,     dice1 = 0.01524, cross1 = 0.0149, kl1 = 0.0022, exclusion1 = 0.0170
1.1733439
Epoch: [ 49] [2300/4000] time: 28763.5194, net0_loss = 0.14693, net0_acc = 0.9741, net0_test_acc = 0.8251,     net1_loss = 0.12368, net1_acc = 0.9805, net1_test_acc = 0.9633
Epoch: [ 49] [2300/4000] time: 28763.5195, dice0 = 0.05709, cross0 = 0.0667, kl0 = 0.0047, exclusion0 = 0.0415,     dice1 = 0.04810, cross1 = 0.0507, kl1 = 0.0050, exclusion1 = 0.0447
1.1338035
Epoch: [ 49] [2350/4000] time: 28770.9425, net0_loss = 0.23664, net0_acc = 0.9620, net0_test_acc = 0.9804,     net1_loss = 0.13496, net1_acc = 0.9792, net1_test_acc = 0.8972
Epoch: [ 49] [2350/4000] time: 28770.9425, dice0 = 0.08363, cross0 = 0.1162, kl0 = 0.0092, exclusion0 = 0.0644,     dice1 = 0.04944, cross1 = 0.0515, kl1 = 0.0136, exclusion1 = 0.0544
1.2126094
Epoch: [ 49] [2400/4000] time: 28778.3720, net0_loss = 0.17053, net0_acc = 0.9753, net0_test_acc = 0.9584,     net1_loss = 0.06187, net1_acc = 0.9922, net1_test_acc = 0.9610
Epoch: [ 49] [2400/4000] time: 28778.3721, dice0 = 0.06086, cross0 = 0.0683, kl0 = 0.0133, exclusion0 = 0.0695,     dice1 = 0.02543, cross1 = 0.0193, kl1 = 0.0029, exclusion1 = 0.0313
1.2861488
Epoch: [ 49] [2450/4000] time: 28785.7852, net0_loss = 0.07577, net0_acc = 0.9898, net0_test_acc = 0.8877,     net1_loss = 0.31485, net1_acc = 0.9468, net1_test_acc = 0.9167
Epoch: [ 49] [2450/4000] time: 28785.7854, dice0 = 0.03001, cross0 = 0.0261, kl0 = 0.0030, exclusion0 = 0.0363,     dice1 = 0.11863, cross1 = 0.1398, kl1 = 0.0112, exclusion1 = 0.1018
1.199276
Epoch: [ 49] [2500/4000] time: 28793.2246, net0_loss = 0.06930, net0_acc = 0.9895, net0_test_acc = 0.9552,     net1_loss = 0.16428, net1_acc = 0.9701, net1_test_acc = 0.8940
Epoch: [ 49] [2500/4000] time: 28793.2247, dice0 = 0.02749, cross0 = 0.0270, kl0 = 0.0020, exclusion0 = 0.0276,     dice1 = 0.06319, cross1 = 0.0797, kl1 = 0.0022, exclusion1 = 0.0406
1.15168
Epoch: [ 49] [2550/4000] time: 28800.6486, net0_loss = 0.16166, net0_acc = 0.9688, net0_test_acc = 0.9688,     net1_loss = 0.15962, net1_acc = 0.9733, net1_test_acc = 0.9488
Epoch: [ 49] [2550/4000] time: 28800.6486, dice0 = 0.06273, cross0 = 0.0786, kl0 = 0.0029, exclusion0 = 0.0378,     dice1 = 0.06124, cross1 = 0.0708, kl1 = 0.0051, exclusion1 = 0.0499
1.1724818
Epoch: [ 49] [2600/4000] time: 28808.0355, net0_loss = 0.20362, net0_acc = 0.9699, net0_test_acc = 0.9544,     net1_loss = 0.11251, net1_acc = 0.9833, net1_test_acc = 0.9410
Epoch: [ 49] [2600/4000] time: 28808.0355, dice0 = 0.07981, cross0 = 0.0715, kl0 = 0.0119, exclusion0 = 0.0926,     dice1 = 0.04434, cross1 = 0.0385, kl1 = 0.0057, exclusion1 = 0.0537
1.096319
Epoch: [ 49] [2650/4000] time: 28815.3630, net0_loss = 0.12723, net0_acc = 0.9801, net0_test_acc = 0.9467,     net1_loss = 0.07885, net1_acc = 0.9880, net1_test_acc = 0.7792
Epoch: [ 49] [2650/4000] time: 28815.3630, dice0 = 0.04581, cross0 = 0.0572, kl0 = 0.0064, exclusion0 = 0.0420,     dice1 = 0.03237, cross1 = 0.0298, kl1 = 0.0016, exclusion1 = 0.0318
1.1446292
Epoch: [ 49] [2700/4000] time: 28822.8462, net0_loss = 0.11338, net0_acc = 0.9823, net0_test_acc = 0.8557,     net1_loss = 0.18741, net1_acc = 0.9721, net1_test_acc = 0.9073
Epoch: [ 49] [2700/4000] time: 28822.8464, dice0 = 0.04360, cross0 = 0.0389, kl0 = 0.0091, exclusion0 = 0.0526,     dice1 = 0.06684, cross1 = 0.0751, kl1 = 0.0176, exclusion1 = 0.0735
1.2025367
Epoch: [ 49] [2750/4000] time: 28830.3590, net0_loss = 0.18067, net0_acc = 0.9718, net0_test_acc = 0.9332,     net1_loss = 0.18851, net1_acc = 0.9657, net1_test_acc = 0.8283
Epoch: [ 49] [2750/4000] time: 28830.3591, dice0 = 0.06568, cross0 = 0.0789, kl0 = 0.0101, exclusion0 = 0.0622,     dice1 = 0.07123, cross1 = 0.0915, kl1 = 0.0051, exclusion1 = 0.0463
1.1971537
Epoch: [ 49] [2800/4000] time: 28837.7766, net0_loss = 0.06697, net0_acc = 0.9895, net0_test_acc = 0.9392,     net1_loss = 0.12485, net1_acc = 0.9777, net1_test_acc = 0.9294
Epoch: [ 49] [2800/4000] time: 28837.7766, dice0 = 0.02741, cross0 = 0.0243, kl0 = 0.0023, exclusion0 = 0.0282,     dice1 = 0.04872, cross1 = 0.0558, kl1 = 0.0030, exclusion1 = 0.0378
1.1476476
Epoch: [ 49] [2850/4000] time: 28845.2027, net0_loss = 0.06750, net0_acc = 0.9911, net0_test_acc = 0.9138,     net1_loss = 0.12731, net1_acc = 0.9782, net1_test_acc = 0.9365
Epoch: [ 49] [2850/4000] time: 28845.2028, dice0 = 0.02412, cross0 = 0.0285, kl0 = 0.0035, exclusion0 = 0.0263,     dice1 = 0.04567, cross1 = 0.0669, kl1 = 0.0036, exclusion1 = 0.0259
1.1361074
Epoch: [ 49] [2900/4000] time: 28852.6082, net0_loss = 0.21341, net0_acc = 0.9684, net0_test_acc = 0.9724,     net1_loss = 0.14516, net1_acc = 0.9785, net1_test_acc = 0.9358
Epoch: [ 49] [2900/4000] time: 28852.6083, dice0 = 0.08444, cross0 = 0.0772, kl0 = 0.0096, exclusion0 = 0.0939,     dice1 = 0.05317, cross1 = 0.0539, kl1 = 0.0133, exclusion1 = 0.0628
1.1886529
Epoch: [ 49] [2950/4000] time: 28860.0009, net0_loss = 0.28451, net0_acc = 0.9568, net0_test_acc = 0.9261,     net1_loss = 0.12189, net1_acc = 0.9810, net1_test_acc = 0.8578
Epoch: [ 49] [2950/4000] time: 28860.0009, dice0 = 0.09873, cross0 = 0.1430, kl0 = 0.0104, exclusion0 = 0.0751,     dice1 = 0.04759, cross1 = 0.0464, kl1 = 0.0061, exclusion1 = 0.0498
1.2388891
Epoch: [ 49] [3000/4000] time: 28867.4036, net0_loss = 0.33260, net0_acc = 0.9474, net0_test_acc = 0.9494,     net1_loss = 0.06024, net1_acc = 0.9910, net1_test_acc = 0.9810
Epoch: [ 49] [3000/4000] time: 28867.4037, dice0 = 0.10973, cross0 = 0.1568, kl0 = 0.0282, exclusion0 = 0.1040,     dice1 = 0.02366, cross1 = 0.0232, kl1 = 0.0030, exclusion1 = 0.0238
1.2529774
Epoch: [ 49] [3050/4000] time: 28874.8641, net0_loss = 0.13994, net0_acc = 0.9790, net0_test_acc = 0.8748,     net1_loss = 0.27146, net1_acc = 0.9536, net1_test_acc = 0.8337
Epoch: [ 49] [3050/4000] time: 28874.8641, dice0 = 0.04985, cross0 = 0.0615, kl0 = 0.0093, exclusion0 = 0.0478,     dice1 = 0.10220, cross1 = 0.1194, kl1 = 0.0118, exclusion1 = 0.0879
1.1776534
Epoch: [ 49] [3100/4000] time: 28882.2935, net0_loss = 0.04353, net0_acc = 0.9942, net0_test_acc = 0.9288,     net1_loss = 0.08401, net1_acc = 0.9864, net1_test_acc = 0.8979
Epoch: [ 49] [3100/4000] time: 28882.2935, dice0 = 0.01657, cross0 = 0.0177, kl0 = 0.0014, exclusion0 = 0.0170,     dice1 = 0.03164, cross1 = 0.0368, kl1 = 0.0034, exclusion1 = 0.0278
1.1526908
Epoch: [ 49] [3150/4000] time: 28889.6969, net0_loss = 0.18217, net0_acc = 0.9723, net0_test_acc = 0.9572,     net1_loss = 0.12455, net1_acc = 0.9793, net1_test_acc = 0.9429
Epoch: [ 49] [3150/4000] time: 28889.6970, dice0 = 0.06790, cross0 = 0.0667, kl0 = 0.0162, exclusion0 = 0.0790,     dice1 = 0.04671, cross1 = 0.0574, kl1 = 0.0053, exclusion1 = 0.0355
1.1575032
Epoch: [ 49] [3200/4000] time: 28897.0898, net0_loss = 0.10452, net0_acc = 0.9816, net0_test_acc = 0.9269,     net1_loss = 0.14519, net1_acc = 0.9767, net1_test_acc = 0.9899
Epoch: [ 49] [3200/4000] time: 28897.0898, dice0 = 0.04332, cross0 = 0.0396, kl0 = 0.0028, exclusion0 = 0.0404,     dice1 = 0.05760, cross1 = 0.0530, kl1 = 0.0071, exclusion1 = 0.0620
1.2200991
Epoch: [ 49] [3250/4000] time: 28904.5142, net0_loss = 0.11687, net0_acc = 0.9816, net0_test_acc = 0.9459,     net1_loss = 0.17908, net1_acc = 0.9748, net1_test_acc = 0.8010
Epoch: [ 49] [3250/4000] time: 28904.5143, dice0 = 0.04544, cross0 = 0.0468, kl0 = 0.0051, exclusion0 = 0.0441,     dice1 = 0.05763, cross1 = 0.0968, kl1 = 0.0070, exclusion1 = 0.0422
1.2632935
Epoch: [ 49] [3300/4000] time: 28911.8890, net0_loss = 0.11529, net0_acc = 0.9863, net0_test_acc = 0.8831,     net1_loss = 0.09022, net1_acc = 0.9859, net1_test_acc = 0.9865
Epoch: [ 49] [3300/4000] time: 28911.8890, dice0 = 0.03114, cross0 = 0.0617, kl0 = 0.0091, exclusion0 = 0.0358,     dice1 = 0.03711, cross1 = 0.0345, kl1 = 0.0017, exclusion1 = 0.0356
1.1975801
Epoch: [ 49] [3350/4000] time: 28919.3082, net0_loss = 0.22393, net0_acc = 0.9614, net0_test_acc = 0.9572,     net1_loss = 0.08075, net1_acc = 0.9865, net1_test_acc = 0.8999
Epoch: [ 49] [3350/4000] time: 28919.3083, dice0 = 0.08749, cross0 = 0.0953, kl0 = 0.0069, exclusion0 = 0.0753,     dice1 = 0.03345, cross1 = 0.0321, kl1 = 0.0014, exclusion1 = 0.0290
1.1751004
Epoch: [ 49] [3400/4000] time: 28926.7636, net0_loss = 0.16292, net0_acc = 0.9721, net0_test_acc = 0.8331,     net1_loss = 0.12807, net1_acc = 0.9783, net1_test_acc = 0.9049
Epoch: [ 49] [3400/4000] time: 28926.7637, dice0 = 0.06293, cross0 = 0.0710, kl0 = 0.0055, exclusion0 = 0.0525,     dice1 = 0.05106, cross1 = 0.0529, kl1 = 0.0034, exclusion1 = 0.0449
1.1685588
Epoch: [ 49] [3450/4000] time: 28934.1530, net0_loss = 0.14053, net0_acc = 0.9785, net0_test_acc = 0.9214,     net1_loss = 0.19151, net1_acc = 0.9682, net1_test_acc = 0.8373
Epoch: [ 49] [3450/4000] time: 28934.1530, dice0 = 0.05168, cross0 = 0.0515, kl0 = 0.0113, exclusion0 = 0.0634,     dice1 = 0.06517, cross1 = 0.1019, kl1 = 0.0072, exclusion1 = 0.0418
1.1855665
Epoch: [ 49] [3500/4000] time: 28941.5820, net0_loss = 0.12342, net0_acc = 0.9787, net0_test_acc = 0.8845,     net1_loss = 0.09230, net1_acc = 0.9860, net1_test_acc = 0.8884
Epoch: [ 49] [3500/4000] time: 28941.5821, dice0 = 0.04658, cross0 = 0.0518, kl0 = 0.0076, exclusion0 = 0.0426,     dice1 = 0.03529, cross1 = 0.0377, kl1 = 0.0042, exclusion1 = 0.0343
1.1525564
Epoch: [ 49] [3550/4000] time: 28948.9975, net0_loss = 0.15386, net0_acc = 0.9739, net0_test_acc = 0.9321,     net1_loss = 0.12074, net1_acc = 0.9807, net1_test_acc = 0.9197
Epoch: [ 49] [3550/4000] time: 28948.9975, dice0 = 0.05500, cross0 = 0.0761, kl0 = 0.0073, exclusion0 = 0.0382,     dice1 = 0.04764, cross1 = 0.0501, kl1 = 0.0028, exclusion1 = 0.0433
1.213392
Epoch: [ 49] [3600/4000] time: 28956.4239, net0_loss = 0.09861, net0_acc = 0.9863, net0_test_acc = 0.9215,     net1_loss = 0.12526, net1_acc = 0.9786, net1_test_acc = 0.9285
Epoch: [ 49] [3600/4000] time: 28956.4239, dice0 = 0.03733, cross0 = 0.0347, kl0 = 0.0075, exclusion0 = 0.0457,     dice1 = 0.04605, cross1 = 0.0567, kl1 = 0.0072, exclusion1 = 0.0377
1.1674485
Epoch: [ 49] [3650/4000] time: 28963.8526, net0_loss = 0.34671, net0_acc = 0.9452, net0_test_acc = 0.9366,     net1_loss = 0.11848, net1_acc = 0.9787, net1_test_acc = 0.9426
Epoch: [ 49] [3650/4000] time: 28963.8527, dice0 = 0.11028, cross0 = 0.2029, kl0 = 0.0083, exclusion0 = 0.0588,     dice1 = 0.04663, cross1 = 0.0532, kl1 = 0.0025, exclusion1 = 0.0348
1.2576656
Epoch: [ 49] [3700/4000] time: 28971.2378, net0_loss = 0.07753, net0_acc = 0.9865, net0_test_acc = 0.9820,     net1_loss = 0.16815, net1_acc = 0.9697, net1_test_acc = 0.9874
Epoch: [ 49] [3700/4000] time: 28971.2378, dice0 = 0.02971, cross0 = 0.0356, kl0 = 0.0024, exclusion0 = 0.0219,     dice1 = 0.06591, cross1 = 0.0758, kl1 = 0.0039, exclusion1 = 0.0491
1.2058239
Epoch: [ 49] [3750/4000] time: 28978.6595, net0_loss = 0.09602, net0_acc = 0.9840, net0_test_acc = 0.9659,     net1_loss = 0.10143, net1_acc = 0.9849, net1_test_acc = 0.9595
Epoch: [ 49] [3750/4000] time: 28978.6596, dice0 = 0.03759, cross0 = 0.0441, kl0 = 0.0017, exclusion0 = 0.0270,     dice1 = 0.03872, cross1 = 0.0389, kl1 = 0.0065, exclusion1 = 0.0410
1.1457928
Epoch: [ 49] [3800/4000] time: 28986.0542, net0_loss = 0.12351, net0_acc = 0.9786, net0_test_acc = 0.9725,     net1_loss = 0.05416, net1_acc = 0.9917, net1_test_acc = 0.9278
Epoch: [ 49] [3800/4000] time: 28986.0543, dice0 = 0.04698, cross0 = 0.0578, kl0 = 0.0031, exclusion0 = 0.0344,     dice1 = 0.02134, cross1 = 0.0205, kl1 = 0.0034, exclusion1 = 0.0212
1.1451709
Epoch: [ 49] [3850/4000] time: 28993.4382, net0_loss = 0.14286, net0_acc = 0.9743, net0_test_acc = 0.8673,     net1_loss = 0.27686, net1_acc = 0.9575, net1_test_acc = 0.9886
Epoch: [ 49] [3850/4000] time: 28993.4382, dice0 = 0.05329, cross0 = 0.0715, kl0 = 0.0033, exclusion0 = 0.0329,     dice1 = 0.09663, cross1 = 0.1070, kl1 = 0.0316, exclusion1 = 0.1149
1.1431049
Epoch: [ 49] [3900/4000] time: 29000.8135, net0_loss = 0.15730, net0_acc = 0.9708, net0_test_acc = 0.9131,     net1_loss = 0.19017, net1_acc = 0.9698, net1_test_acc = 0.9883
Epoch: [ 49] [3900/4000] time: 29000.8135, dice0 = 0.06359, cross0 = 0.0686, kl0 = 0.0021, exclusion0 = 0.0482,     dice1 = 0.07225, cross1 = 0.0761, kl1 = 0.0088, exclusion1 = 0.0748
1.1603754
Epoch: [ 49] [3950/4000] time: 29008.3008, net0_loss = 0.09195, net0_acc = 0.9867, net0_test_acc = 0.8988,     net1_loss = 0.14187, net1_acc = 0.9787, net1_test_acc = 0.9133
Epoch: [ 49] [3950/4000] time: 29008.3009, dice0 = 0.03524, cross0 = 0.0348, kl0 = 0.0056, exclusion0 = 0.0381,     dice1 = 0.05217, cross1 = 0.0506, kl1 = 0.0142, exclusion1 = 0.0639
1.1886886
Epoch: [ 50] [  0/4000] time: 29015.6496, net0_loss = 0.23969, net0_acc = 0.9582, net0_test_acc = 0.9588,     net1_loss = 0.07308, net1_acc = 0.9886, net1_test_acc = 0.9605
Epoch: [ 50] [  0/4000] time: 29015.6496, dice0 = 0.08410, cross0 = 0.1217, kl0 = 0.0095, exclusion0 = 0.0581,     dice1 = 0.02892, cross1 = 0.0311, kl1 = 0.0021, exclusion1 = 0.0240
1.1622777
Epoch: [ 50] [ 50/4000] time: 29023.0715, net0_loss = 0.15645, net0_acc = 0.9769, net0_test_acc = 0.7449,     net1_loss = 0.09021, net1_acc = 0.9880, net1_test_acc = 0.9017
Epoch: [ 50] [ 50/4000] time: 29023.0716, dice0 = 0.05851, cross0 = 0.0597, kl0 = 0.0091, exclusion0 = 0.0674,     dice1 = 0.03557, cross1 = 0.0277, kl1 = 0.0064, exclusion1 = 0.0474
1.138146
Epoch: [ 50] [100/4000] time: 29030.4265, net0_loss = 0.09558, net0_acc = 0.9839, net0_test_acc = 0.8419,     net1_loss = 0.25198, net1_acc = 0.9614, net1_test_acc = 0.8146
Epoch: [ 50] [100/4000] time: 29030.4265, dice0 = 0.03619, cross0 = 0.0425, kl0 = 0.0042, exclusion0 = 0.0297,     dice1 = 0.09078, cross1 = 0.1096, kl1 = 0.0123, exclusion1 = 0.0910
1.178842
Epoch: [ 50] [150/4000] time: 29037.9800, net0_loss = 0.22731, net0_acc = 0.9625, net0_test_acc = 0.9836,     net1_loss = 0.25263, net1_acc = 0.9604, net1_test_acc = 0.9724
Epoch: [ 50] [150/4000] time: 29037.9801, dice0 = 0.08584, cross0 = 0.0999, kl0 = 0.0071, exclusion0 = 0.0759,     dice1 = 0.09532, cross1 = 0.1069, kl1 = 0.0096, exclusion1 = 0.0913
1.0896088
Epoch: [ 50] [200/4000] time: 29045.3935, net0_loss = 0.23701, net0_acc = 0.9631, net0_test_acc = 0.9349,     net1_loss = 0.26338, net1_acc = 0.9542, net1_test_acc = 0.9348
Epoch: [ 50] [200/4000] time: 29045.3935, dice0 = 0.08514, cross0 = 0.1002, kl0 = 0.0158, exclusion0 = 0.0875,     dice1 = 0.10018, cross1 = 0.1157, kl1 = 0.0104, exclusion1 = 0.0846
1.1240449
Epoch: [ 50] [250/4000] time: 29052.7915, net0_loss = 0.12191, net0_acc = 0.9838, net0_test_acc = 0.9495,     net1_loss = 0.04666, net1_acc = 0.9931, net1_test_acc = 0.9804
Epoch: [ 50] [250/4000] time: 29052.7916, dice0 = 0.04205, cross0 = 0.0420, kl0 = 0.0141, exclusion0 = 0.0616,     dice1 = 0.01922, cross1 = 0.0171, kl1 = 0.0015, exclusion1 = 0.0192
1.1497617
Epoch: [ 50] [300/4000] time: 29060.1641, net0_loss = 0.27846, net0_acc = 0.9526, net0_test_acc = 0.8887,     net1_loss = 0.19210, net1_acc = 0.9685, net1_test_acc = 0.9780
Epoch: [ 50] [300/4000] time: 29060.1641, dice0 = 0.10112, cross0 = 0.1369, kl0 = 0.0093, exclusion0 = 0.0716,     dice1 = 0.07233, cross1 = 0.0799, kl1 = 0.0093, exclusion1 = 0.0705
1.0876932
Epoch: [ 50] [350/4000] time: 29067.5854, net0_loss = 0.20273, net0_acc = 0.9646, net0_test_acc = 0.9483,     net1_loss = 0.06995, net1_acc = 0.9911, net1_test_acc = 0.9354
Epoch: [ 50] [350/4000] time: 29067.5855, dice0 = 0.07661, cross0 = 0.0924, kl0 = 0.0063, exclusion0 = 0.0611,     dice1 = 0.02925, cross1 = 0.0225, kl1 = 0.0020, exclusion1 = 0.0345
1.2039771
Epoch: [ 50] [400/4000] time: 29075.0103, net0_loss = 0.27645, net0_acc = 0.9588, net0_test_acc = 0.9282,     net1_loss = 0.10171, net1_acc = 0.9831, net1_test_acc = 0.9161
Epoch: [ 50] [400/4000] time: 29075.0104, dice0 = 0.08878, cross0 = 0.1487, kl0 = 0.0090, exclusion0 = 0.0689,     dice1 = 0.03929, cross1 = 0.0402, kl1 = 0.0058, exclusion1 = 0.0387
1.2193167
Epoch: [ 50] [450/4000] time: 29082.4122, net0_loss = 0.33121, net0_acc = 0.9517, net0_test_acc = 0.9725,     net1_loss = 0.12770, net1_acc = 0.9785, net1_test_acc = 0.9040
Epoch: [ 50] [450/4000] time: 29082.4123, dice0 = 0.09952, cross0 = 0.1745, kl0 = 0.0264, exclusion0 = 0.0880,     dice1 = 0.05142, cross1 = 0.0536, kl1 = 0.0024, exclusion1 = 0.0429
1.2331344
Epoch: [ 50] [500/4000] time: 29089.8336, net0_loss = 0.20068, net0_acc = 0.9680, net0_test_acc = 0.7911,     net1_loss = 0.17800, net1_acc = 0.9751, net1_test_acc = 0.9516
Epoch: [ 50] [500/4000] time: 29089.8336, dice0 = 0.07257, cross0 = 0.0920, kl0 = 0.0103, exclusion0 = 0.0619,     dice1 = 0.05629, cross1 = 0.0663, kl1 = 0.0276, exclusion1 = 0.0831
1.2771599
Epoch: [ 50] [550/4000] time: 29097.2522, net0_loss = 0.06407, net0_acc = 0.9914, net0_test_acc = 0.8881,     net1_loss = 0.11014, net1_acc = 0.9835, net1_test_acc = 0.8211
Epoch: [ 50] [550/4000] time: 29097.2523, dice0 = 0.02514, cross0 = 0.0207, kl0 = 0.0037, exclusion0 = 0.0326,     dice1 = 0.03891, cross1 = 0.0355, kl1 = 0.0142, exclusion1 = 0.0572
1.1813357
Epoch: [ 50] [600/4000] time: 29104.6679, net0_loss = 0.23090, net0_acc = 0.9608, net0_test_acc = 0.8931,     net1_loss = 0.08491, net1_acc = 0.9870, net1_test_acc = 0.9739
Epoch: [ 50] [600/4000] time: 29104.6679, dice0 = 0.08379, cross0 = 0.1007, kl0 = 0.0164, exclusion0 = 0.0763,     dice1 = 0.03307, cross1 = 0.0309, kl1 = 0.0040, exclusion1 = 0.0379
1.1428841
Epoch: [ 50] [650/4000] time: 29112.0243, net0_loss = 0.09615, net0_acc = 0.9846, net0_test_acc = 0.9145,     net1_loss = 0.18218, net1_acc = 0.9686, net1_test_acc = 0.9776
Epoch: [ 50] [650/4000] time: 29112.0244, dice0 = 0.03701, cross0 = 0.0361, kl0 = 0.0057, exclusion0 = 0.0403,     dice1 = 0.06792, cross1 = 0.0805, kl1 = 0.0089, exclusion1 = 0.0586
1.2056458
Epoch: [ 50] [700/4000] time: 29119.4837, net0_loss = 0.23882, net0_acc = 0.9606, net0_test_acc = 0.9189,     net1_loss = 0.12134, net1_acc = 0.9793, net1_test_acc = 0.9623
Epoch: [ 50] [700/4000] time: 29119.4838, dice0 = 0.08053, cross0 = 0.1290, kl0 = 0.0085, exclusion0 = 0.0501,     dice1 = 0.04715, cross1 = 0.0552, kl1 = 0.0024, exclusion1 = 0.0356
1.0933899
Epoch: [ 50] [750/4000] time: 29126.8991, net0_loss = 0.12914, net0_acc = 0.9785, net0_test_acc = 0.9563,     net1_loss = 0.14377, net1_acc = 0.9766, net1_test_acc = 0.9456
Epoch: [ 50] [750/4000] time: 29126.8992, dice0 = 0.05027, cross0 = 0.0547, kl0 = 0.0041, exclusion0 = 0.0443,     dice1 = 0.05691, cross1 = 0.0542, kl1 = 0.0060, exclusion1 = 0.0594
1.101836
Epoch: [ 50] [800/4000] time: 29134.3118, net0_loss = 0.14744, net0_acc = 0.9785, net0_test_acc = 0.7774,     net1_loss = 0.22253, net1_acc = 0.9645, net1_test_acc = 0.8363
Epoch: [ 50] [800/4000] time: 29134.3119, dice0 = 0.05975, cross0 = 0.0530, kl0 = 0.0049, exclusion0 = 0.0644,     dice1 = 0.08276, cross1 = 0.0880, kl1 = 0.0152, exclusion1 = 0.0885
1.2558197
Epoch: [ 50] [850/4000] time: 29141.6495, net0_loss = 0.10098, net0_acc = 0.9854, net0_test_acc = 0.8204,     net1_loss = 0.32754, net1_acc = 0.9477, net1_test_acc = 0.8191
Epoch: [ 50] [850/4000] time: 29141.6496, dice0 = 0.04025, cross0 = 0.0352, kl0 = 0.0039, exclusion0 = 0.0472,     dice1 = 0.11285, cross1 = 0.1622, kl1 = 0.0182, exclusion1 = 0.0868
1.1165556
Epoch: [ 50] [900/4000] time: 29148.9352, net0_loss = 0.11587, net0_acc = 0.9832, net0_test_acc = 0.9786,     net1_loss = 0.09312, net1_acc = 0.9863, net1_test_acc = 0.9520
Epoch: [ 50] [900/4000] time: 29148.9353, dice0 = 0.04527, cross0 = 0.0452, kl0 = 0.0047, exclusion0 = 0.0462,     dice1 = 0.03655, cross1 = 0.0326, kl1 = 0.0051, exclusion1 = 0.0429
1.1866969
Epoch: [ 50] [950/4000] time: 29156.5136, net0_loss = 0.17409, net0_acc = 0.9715, net0_test_acc = 0.9896,     net1_loss = 0.08741, net1_acc = 0.9858, net1_test_acc = 0.9526
Epoch: [ 50] [950/4000] time: 29156.5137, dice0 = 0.06648, cross0 = 0.0727, kl0 = 0.0078, exclusion0 = 0.0621,     dice1 = 0.03408, cross1 = 0.0361, kl1 = 0.0042, exclusion1 = 0.0303
1.2538736
Epoch: [ 50] [1000/4000] time: 29163.9551, net0_loss = 0.04649, net0_acc = 0.9935, net0_test_acc = 0.9469,     net1_loss = 0.19672, net1_acc = 0.9667, net1_test_acc = 0.8216
Epoch: [ 50] [1000/4000] time: 29163.9552, dice0 = 0.01883, cross0 = 0.0158, kl0 = 0.0016, exclusion0 = 0.0221,     dice1 = 0.07170, cross1 = 0.0875, kl1 = 0.0139, exclusion1 = 0.0612
1.1304232
Epoch: [ 50] [1050/4000] time: 29171.3503, net0_loss = 0.10881, net0_acc = 0.9827, net0_test_acc = 0.9784,     net1_loss = 0.10705, net1_acc = 0.9818, net1_test_acc = 0.8960
Epoch: [ 50] [1050/4000] time: 29171.3503, dice0 = 0.04256, cross0 = 0.0421, kl0 = 0.0047, exclusion0 = 0.0435,     dice1 = 0.04235, cross1 = 0.0437, kl1 = 0.0040, exclusion1 = 0.0379
1.1436371
Epoch: [ 50] [1100/4000] time: 29178.8091, net0_loss = 0.10521, net0_acc = 0.9820, net0_test_acc = 0.9267,     net1_loss = 0.11599, net1_acc = 0.9861, net1_test_acc = 0.9638
Epoch: [ 50] [1100/4000] time: 29178.8091, dice0 = 0.04120, cross0 = 0.0456, kl0 = 0.0038, exclusion0 = 0.0329,     dice1 = 0.03559, cross1 = 0.0338, kl1 = 0.0215, exclusion1 = 0.0717
1.1674325
Epoch: [ 50] [1150/4000] time: 29186.2004, net0_loss = 0.12620, net0_acc = 0.9792, net0_test_acc = 0.9437,     net1_loss = 0.15612, net1_acc = 0.9750, net1_test_acc = 0.9820
Epoch: [ 50] [1150/4000] time: 29186.2005, dice0 = 0.05037, cross0 = 0.0507, kl0 = 0.0038, exclusion0 = 0.0466,     dice1 = 0.06170, cross1 = 0.0568, kl1 = 0.0092, exclusion1 = 0.0661
1.1733109
Epoch: [ 50] [1200/4000] time: 29193.5778, net0_loss = 0.17987, net0_acc = 0.9731, net0_test_acc = 0.8626,     net1_loss = 0.02867, net1_acc = 0.9968, net1_test_acc = 0.9510
Epoch: [ 50] [1200/4000] time: 29193.5778, dice0 = 0.06752, cross0 = 0.0665, kl0 = 0.0157, exclusion0 = 0.0760,     dice1 = 0.01172, cross1 = 0.0095, kl1 = 0.0014, exclusion1 = 0.0135
1.286967
Epoch: [ 50] [1250/4000] time: 29200.9472, net0_loss = 0.19253, net0_acc = 0.9669, net0_test_acc = 0.8908,     net1_loss = 0.40010, net1_acc = 0.9364, net1_test_acc = 0.9596
Epoch: [ 50] [1250/4000] time: 29200.9472, dice0 = 0.07119, cross0 = 0.0924, kl0 = 0.0070, exclusion0 = 0.0509,     dice1 = 0.13613, cross1 = 0.2022, kl1 = 0.0207, exclusion1 = 0.1028
1.1646544
Epoch: [ 50] [1300/4000] time: 29208.4501, net0_loss = 0.11063, net0_acc = 0.9835, net0_test_acc = 0.9683,     net1_loss = 0.10759, net1_acc = 0.9836, net1_test_acc = 0.9288
Epoch: [ 50] [1300/4000] time: 29208.4502, dice0 = 0.04314, cross0 = 0.0395, kl0 = 0.0068, exclusion0 = 0.0493,     dice1 = 0.04282, cross1 = 0.0409, kl1 = 0.0032, exclusion1 = 0.0444
1.2382329
Epoch: [ 50] [1350/4000] time: 29215.8449, net0_loss = 0.11686, net0_acc = 0.9813, net0_test_acc = 0.9171,     net1_loss = 0.09422, net1_acc = 0.9873, net1_test_acc = 0.9709
Epoch: [ 50] [1350/4000] time: 29215.8450, dice0 = 0.04440, cross0 = 0.0493, kl0 = 0.0065, exclusion0 = 0.0397,     dice1 = 0.03752, cross1 = 0.0321, kl1 = 0.0040, exclusion1 = 0.0453
1.159597
Epoch: [ 50] [1400/4000] time: 29223.2197, net0_loss = 0.22846, net0_acc = 0.9593, net0_test_acc = 0.9812,     net1_loss = 0.18215, net1_acc = 0.9688, net1_test_acc = 0.9523
Epoch: [ 50] [1400/4000] time: 29223.2198, dice0 = 0.08635, cross0 = 0.1064, kl0 = 0.0067, exclusion0 = 0.0647,     dice1 = 0.06769, cross1 = 0.0841, kl1 = 0.0070, exclusion1 = 0.0537
1.1392933
Epoch: [ 50] [1450/4000] time: 29230.6133, net0_loss = 0.06208, net0_acc = 0.9914, net0_test_acc = 0.7663,     net1_loss = 0.13393, net1_acc = 0.9819, net1_test_acc = 0.9278
Epoch: [ 50] [1450/4000] time: 29230.6133, dice0 = 0.02450, cross0 = 0.0215, kl0 = 0.0035, exclusion0 = 0.0286,     dice1 = 0.04210, cross1 = 0.0581, kl1 = 0.0168, exclusion1 = 0.0508
1.1872753
Epoch: [ 50] [1500/4000] time: 29237.9948, net0_loss = 0.10252, net0_acc = 0.9815, net0_test_acc = 0.9449,     net1_loss = 0.09409, net1_acc = 0.9857, net1_test_acc = 0.9474
Epoch: [ 50] [1500/4000] time: 29237.9949, dice0 = 0.04075, cross0 = 0.0467, kl0 = 0.0017, exclusion0 = 0.0283,     dice1 = 0.03765, cross1 = 0.0379, kl1 = 0.0019, exclusion1 = 0.0352
1.1296635
Epoch: [ 50] [1550/4000] time: 29245.2758, net0_loss = 0.11251, net0_acc = 0.9862, net0_test_acc = 0.9369,     net1_loss = 0.13956, net1_acc = 0.9774, net1_test_acc = 0.9571
Epoch: [ 50] [1550/4000] time: 29245.2758, dice0 = 0.03851, cross0 = 0.0379, kl0 = 0.0132, exclusion0 = 0.0591,     dice1 = 0.05482, cross1 = 0.0532, kl1 = 0.0064, exclusion1 = 0.0567
1.1034917
Epoch: [ 50] [1600/4000] time: 29252.8686, net0_loss = 0.16552, net0_acc = 0.9732, net0_test_acc = 0.9411,     net1_loss = 0.13688, net1_acc = 0.9782, net1_test_acc = 0.9412
Epoch: [ 50] [1600/4000] time: 29252.8687, dice0 = 0.06606, cross0 = 0.0640, kl0 = 0.0059, exclusion0 = 0.0650,     dice1 = 0.05090, cross1 = 0.0606, kl1 = 0.0055, exclusion1 = 0.0453
1.2815603
Epoch: [ 50] [1650/4000] time: 29260.3118, net0_loss = 0.22778, net0_acc = 0.9653, net0_test_acc = 0.8076,     net1_loss = 0.12852, net1_acc = 0.9804, net1_test_acc = 0.9332
Epoch: [ 50] [1650/4000] time: 29260.3119, dice0 = 0.07638, cross0 = 0.1131, kl0 = 0.0116, exclusion0 = 0.0649,     dice1 = 0.04844, cross1 = 0.0560, kl1 = 0.0059, exclusion1 = 0.0423
1.1066246
Epoch: [ 50] [1700/4000] time: 29267.6862, net0_loss = 0.09971, net0_acc = 0.9858, net0_test_acc = 0.8890,     net1_loss = 0.12817, net1_acc = 0.9798, net1_test_acc = 0.9332
Epoch: [ 50] [1700/4000] time: 29267.6863, dice0 = 0.04040, cross0 = 0.0337, kl0 = 0.0038, exclusion0 = 0.0475,     dice1 = 0.05130, cross1 = 0.0489, kl1 = 0.0046, exclusion1 = 0.0514
1.0976359
Epoch: [ 50] [1750/4000] time: 29275.0892, net0_loss = 0.13886, net0_acc = 0.9774, net0_test_acc = 0.9564,     net1_loss = 0.08563, net1_acc = 0.9873, net1_test_acc = 0.9358
Epoch: [ 50] [1750/4000] time: 29275.0892, dice0 = 0.05327, cross0 = 0.0621, kl0 = 0.0041, exclusion0 = 0.0429,     dice1 = 0.03422, cross1 = 0.0301, kl1 = 0.0038, exclusion1 = 0.0389
1.2593579
Epoch: [ 50] [1800/4000] time: 29282.4093, net0_loss = 0.03061, net0_acc = 0.9966, net0_test_acc = 0.8209,     net1_loss = 0.10892, net1_acc = 0.9847, net1_test_acc = 0.9465
Epoch: [ 50] [1800/4000] time: 29282.4094, dice0 = 0.01154, cross0 = 0.0111, kl0 = 0.0012, exclusion0 = 0.0147,     dice1 = 0.03998, cross1 = 0.0379, kl1 = 0.0108, exclusion1 = 0.0514
1.2548643
Epoch: [ 50] [1850/4000] time: 29289.8539, net0_loss = 0.17021, net0_acc = 0.9745, net0_test_acc = 0.9648,     net1_loss = 0.21917, net1_acc = 0.9643, net1_test_acc = 0.9566
Epoch: [ 50] [1850/4000] time: 29289.8540, dice0 = 0.05928, cross0 = 0.0633, kl0 = 0.0181, exclusion0 = 0.0771,     dice1 = 0.08410, cross1 = 0.0950, kl1 = 0.0085, exclusion1 = 0.0717
1.1470697
Epoch: [ 50] [1900/4000] time: 29297.2216, net0_loss = 0.04016, net0_acc = 0.9944, net0_test_acc = 0.9482,     net1_loss = 0.28844, net1_acc = 0.9580, net1_test_acc = 0.9909
Epoch: [ 50] [1900/4000] time: 29297.2216, dice0 = 0.01616, cross0 = 0.0143, kl0 = 0.0014, exclusion0 = 0.0181,     dice1 = 0.08665, cross1 = 0.1693, kl1 = 0.0119, exclusion1 = 0.0531
1.2408911
Epoch: [ 50] [1950/4000] time: 29304.6501, net0_loss = 0.12973, net0_acc = 0.9793, net0_test_acc = 0.9618,     net1_loss = 0.21820, net1_acc = 0.9646, net1_test_acc = 0.9108
Epoch: [ 50] [1950/4000] time: 29304.6502, dice0 = 0.04969, cross0 = 0.0557, kl0 = 0.0042, exclusion0 = 0.0446,     dice1 = 0.07964, cross1 = 0.0965, kl1 = 0.0133, exclusion1 = 0.0709
1.1261595
Epoch: [ 50] [2000/4000] time: 29312.0447, net0_loss = 0.07245, net0_acc = 0.9898, net0_test_acc = 0.8421,     net1_loss = 0.10887, net1_acc = 0.9823, net1_test_acc = 0.9144
Epoch: [ 50] [2000/4000] time: 29312.0447, dice0 = 0.02570, cross0 = 0.0304, kl0 = 0.0046, exclusion0 = 0.0281,     dice1 = 0.04166, cross1 = 0.0483, kl1 = 0.0036, exclusion1 = 0.0342
1.1576084
Epoch: [ 50] [2050/4000] time: 29319.4244, net0_loss = 0.10076, net0_acc = 0.9819, net0_test_acc = 0.8110,     net1_loss = 0.37164, net1_acc = 0.9357, net1_test_acc = 0.9739
Epoch: [ 50] [2050/4000] time: 29319.4244, dice0 = 0.03860, cross0 = 0.0479, kl0 = 0.0029, exclusion0 = 0.0256,     dice1 = 0.13330, cross1 = 0.1865, kl1 = 0.0109, exclusion1 = 0.0927
1.1749496
Epoch: [ 50] [2100/4000] time: 29326.8753, net0_loss = 0.16224, net0_acc = 0.9714, net0_test_acc = 0.9818,     net1_loss = 0.26318, net1_acc = 0.9617, net1_test_acc = 0.8836
Epoch: [ 50] [2100/4000] time: 29326.8753, dice0 = 0.06158, cross0 = 0.0677, kl0 = 0.0100, exclusion0 = 0.0559,     dice1 = 0.09121, cross1 = 0.0999, kl1 = 0.0305, exclusion1 = 0.1136
1.2373971
Epoch: [ 50] [2150/4000] time: 29334.3032, net0_loss = 0.15169, net0_acc = 0.9749, net0_test_acc = 0.9258,     net1_loss = 0.24084, net1_acc = 0.9593, net1_test_acc = 0.9648
Epoch: [ 50] [2150/4000] time: 29334.3032, dice0 = 0.05866, cross0 = 0.0619, kl0 = 0.0077, exclusion0 = 0.0545,     dice1 = 0.08981, cross1 = 0.1018, kl1 = 0.0138, exclusion1 = 0.0847
1.1362116
Epoch: [ 50] [2200/4000] time: 29341.6704, net0_loss = 0.24960, net0_acc = 0.9638, net0_test_acc = 0.9064,     net1_loss = 0.17481, net1_acc = 0.9713, net1_test_acc = 0.9118
Epoch: [ 50] [2200/4000] time: 29341.6705, dice0 = 0.08058, cross0 = 0.1358, kl0 = 0.0096, exclusion0 = 0.0569,     dice1 = 0.05873, cross1 = 0.0927, kl1 = 0.0077, exclusion1 = 0.0391
1.1797122
Epoch: [ 50] [2250/4000] time: 29349.0762, net0_loss = 0.05929, net0_acc = 0.9902, net0_test_acc = 0.9561,     net1_loss = 0.14330, net1_acc = 0.9743, net1_test_acc = 0.9060
Epoch: [ 50] [2250/4000] time: 29349.0763, dice0 = 0.02355, cross0 = 0.0251, kl0 = 0.0011, exclusion0 = 0.0202,     dice1 = 0.05443, cross1 = 0.0686, kl1 = 0.0045, exclusion1 = 0.0361
1.1990819
Epoch: [ 50] [2300/4000] time: 29356.4498, net0_loss = 0.12964, net0_acc = 0.9787, net0_test_acc = 0.9706,     net1_loss = 0.13669, net1_acc = 0.9794, net1_test_acc = 0.9470
Epoch: [ 50] [2300/4000] time: 29356.4498, dice0 = 0.04830, cross0 = 0.0562, kl0 = 0.0080, exclusion0 = 0.0424,     dice1 = 0.05280, cross1 = 0.0520, kl1 = 0.0069, exclusion1 = 0.0569
1.1454064
Epoch: [ 50] [2350/4000] time: 29363.8387, net0_loss = 0.11343, net0_acc = 0.9823, net0_test_acc = 0.9538,     net1_loss = 0.15682, net1_acc = 0.9737, net1_test_acc = 0.9440
Epoch: [ 50] [2350/4000] time: 29363.8388, dice0 = 0.04627, cross0 = 0.0422, kl0 = 0.0027, exclusion0 = 0.0472,     dice1 = 0.06190, cross1 = 0.0643, kl1 = 0.0051, exclusion1 = 0.0560
1.1610094
Epoch: [ 50] [2400/4000] time: 29371.2563, net0_loss = 0.16516, net0_acc = 0.9726, net0_test_acc = 0.9456,     net1_loss = 0.07078, net1_acc = 0.9881, net1_test_acc = 0.7823
Epoch: [ 50] [2400/4000] time: 29371.2565, dice0 = 0.06025, cross0 = 0.0747, kl0 = 0.0082, exclusion0 = 0.0522,     dice1 = 0.02751, cross1 = 0.0321, kl1 = 0.0021, exclusion1 = 0.0203
1.2072045
Epoch: [ 50] [2450/4000] time: 29378.6761, net0_loss = 0.25658, net0_acc = 0.9609, net0_test_acc = 0.8542,     net1_loss = 0.08365, net1_acc = 0.9872, net1_test_acc = 0.9132
Epoch: [ 50] [2450/4000] time: 29378.6762, dice0 = 0.08812, cross0 = 0.1133, kl0 = 0.0188, exclusion0 = 0.0915,     dice1 = 0.02997, cross1 = 0.0396, kl1 = 0.0031, exclusion1 = 0.0249
1.1782705
Epoch: [ 50] [2500/4000] time: 29386.0693, net0_loss = 0.17726, net0_acc = 0.9681, net0_test_acc = 0.9256,     net1_loss = 0.08266, net1_acc = 0.9861, net1_test_acc = 0.8137
Epoch: [ 50] [2500/4000] time: 29386.0693, dice0 = 0.06822, cross0 = 0.0817, kl0 = 0.0058, exclusion0 = 0.0490,     dice1 = 0.03259, cross1 = 0.0339, kl1 = 0.0030, exclusion1 = 0.0293
1.2863452
Epoch: [ 50] [2550/4000] time: 29393.4878, net0_loss = 0.12589, net0_acc = 0.9827, net0_test_acc = 0.9314,     net1_loss = 0.12925, net1_acc = 0.9800, net1_test_acc = 0.9341
Epoch: [ 50] [2550/4000] time: 29393.4879, dice0 = 0.04485, cross0 = 0.0497, kl0 = 0.0100, exclusion0 = 0.0527,     dice1 = 0.05366, cross1 = 0.0486, kl1 = 0.0041, exclusion1 = 0.0498
1.1767659
Epoch: [ 50] [2600/4000] time: 29400.8736, net0_loss = 0.08552, net0_acc = 0.9879, net0_test_acc = 0.9120,     net1_loss = 0.08437, net1_acc = 0.9865, net1_test_acc = 0.9365
Epoch: [ 50] [2600/4000] time: 29400.8737, dice0 = 0.03250, cross0 = 0.0289, kl0 = 0.0072, exclusion0 = 0.0410,     dice1 = 0.02928, cross1 = 0.0460, kl1 = 0.0022, exclusion1 = 0.0160
1.2283714
Epoch: [ 50] [2650/4000] time: 29408.2825, net0_loss = 0.12624, net0_acc = 0.9823, net0_test_acc = 0.9725,     net1_loss = 0.07394, net1_acc = 0.9896, net1_test_acc = 0.9278
Epoch: [ 50] [2650/4000] time: 29408.2826, dice0 = 0.04386, cross0 = 0.0493, kl0 = 0.0123, exclusion0 = 0.0538,     dice1 = 0.02762, cross1 = 0.0299, kl1 = 0.0036, exclusion1 = 0.0292
1.2141379
Epoch: [ 50] [2700/4000] time: 29415.6897, net0_loss = 0.07465, net0_acc = 0.9894, net0_test_acc = 0.9536,     net1_loss = 0.12973, net1_acc = 0.9807, net1_test_acc = 0.8645
Epoch: [ 50] [2700/4000] time: 29415.6897, dice0 = 0.02918, cross0 = 0.0259, kl0 = 0.0037, exclusion0 = 0.0353,     dice1 = 0.05059, cross1 = 0.0507, kl1 = 0.0063, exclusion1 = 0.0507
1.158255
Epoch: [ 50] [2750/4000] time: 29423.0860, net0_loss = 0.24455, net0_acc = 0.9579, net0_test_acc = 0.9517,     net1_loss = 0.12717, net1_acc = 0.9807, net1_test_acc = 0.9819
Epoch: [ 50] [2750/4000] time: 29423.0861, dice0 = 0.09397, cross0 = 0.1050, kl0 = 0.0091, exclusion0 = 0.0821,     dice1 = 0.05036, cross1 = 0.0489, kl1 = 0.0058, exclusion1 = 0.0499
1.1596324
Epoch: [ 50] [2800/4000] time: 29430.5281, net0_loss = 0.17733, net0_acc = 0.9748, net0_test_acc = 0.8860,     net1_loss = 0.25993, net1_acc = 0.9603, net1_test_acc = 0.8501
Epoch: [ 50] [2800/4000] time: 29430.5281, dice0 = 0.07016, cross0 = 0.0569, kl0 = 0.0120, exclusion0 = 0.0885,     dice1 = 0.08403, cross1 = 0.1122, kl1 = 0.0267, exclusion1 = 0.1008
1.1687528
Epoch: [ 50] [2850/4000] time: 29437.9009, net0_loss = 0.05886, net0_acc = 0.9929, net0_test_acc = 0.9283,     net1_loss = 0.21886, net1_acc = 0.9622, net1_test_acc = 0.8906
Epoch: [ 50] [2850/4000] time: 29437.9010, dice0 = 0.02057, cross0 = 0.0182, kl0 = 0.0063, exclusion0 = 0.0338,     dice1 = 0.08434, cross1 = 0.0933, kl1 = 0.0090, exclusion1 = 0.0735
1.1901784
Epoch: [ 50] [2900/4000] time: 29445.2978, net0_loss = 0.17586, net0_acc = 0.9712, net0_test_acc = 0.9569,     net1_loss = 0.12626, net1_acc = 0.9797, net1_test_acc = 0.9549
Epoch: [ 50] [2900/4000] time: 29445.2979, dice0 = 0.06071, cross0 = 0.0940, kl0 = 0.0053, exclusion0 = 0.0370,     dice1 = 0.04929, cross1 = 0.0519, kl1 = 0.0042, exclusion1 = 0.0459
1.2850785
Epoch: [ 50] [2950/4000] time: 29452.7107, net0_loss = 0.23537, net0_acc = 0.9596, net0_test_acc = 0.9221,     net1_loss = 0.13108, net1_acc = 0.9758, net1_test_acc = 0.9900
Epoch: [ 50] [2950/4000] time: 29452.7108, dice0 = 0.09013, cross0 = 0.1028, kl0 = 0.0089, exclusion0 = 0.0760,     dice1 = 0.05197, cross1 = 0.0580, kl1 = 0.0038, exclusion1 = 0.0384
1.1382738
Epoch: [ 50] [3000/4000] time: 29460.0714, net0_loss = 0.06981, net0_acc = 0.9918, net0_test_acc = 0.9288,     net1_loss = 0.23368, net1_acc = 0.9574, net1_test_acc = 0.8026
Epoch: [ 50] [3000/4000] time: 29460.0715, dice0 = 0.02776, cross0 = 0.0237, kl0 = 0.0030, exclusion0 = 0.0338,     dice1 = 0.08397, cross1 = 0.1260, kl1 = 0.0043, exclusion1 = 0.0431
1.1138396
Epoch: [ 50] [3050/4000] time: 29467.4726, net0_loss = 0.18751, net0_acc = 0.9704, net0_test_acc = 0.8824,     net1_loss = 0.15196, net1_acc = 0.9753, net1_test_acc = 0.9848
Epoch: [ 50] [3050/4000] time: 29467.4727, dice0 = 0.07065, cross0 = 0.0789, kl0 = 0.0080, exclusion0 = 0.0678,     dice1 = 0.06202, cross1 = 0.0574, kl1 = 0.0057, exclusion1 = 0.0594
1.093176
Epoch: [ 50] [3100/4000] time: 29474.8901, net0_loss = 0.15047, net0_acc = 0.9748, net0_test_acc = 0.9652,     net1_loss = 0.19191, net1_acc = 0.9694, net1_test_acc = 0.9039
Epoch: [ 50] [3100/4000] time: 29474.8902, dice0 = 0.05889, cross0 = 0.0629, kl0 = 0.0049, exclusion0 = 0.0524,     dice1 = 0.07275, cross1 = 0.0759, kl1 = 0.0109, exclusion1 = 0.0756
1.1484718
Epoch: [ 50] [3150/4000] time: 29482.3022, net0_loss = 0.28555, net0_acc = 0.9552, net0_test_acc = 0.8435,     net1_loss = 0.04564, net1_acc = 0.9937, net1_test_acc = 0.9160
Epoch: [ 50] [3150/4000] time: 29482.3022, dice0 = 0.09909, cross0 = 0.1235, kl0 = 0.0226, exclusion0 = 0.1032,     dice1 = 0.01885, cross1 = 0.0163, kl1 = 0.0017, exclusion1 = 0.0192
1.2587155
Epoch: [ 50] [3200/4000] time: 29489.6884, net0_loss = 0.20000, net0_acc = 0.9687, net0_test_acc = 0.9213,     net1_loss = 0.16308, net1_acc = 0.9719, net1_test_acc = 0.8043
Epoch: [ 50] [3200/4000] time: 29489.6885, dice0 = 0.08044, cross0 = 0.0737, kl0 = 0.0061, exclusion0 = 0.0856,     dice1 = 0.06040, cross1 = 0.0766, kl1 = 0.0056, exclusion1 = 0.0466
1.1505876
Epoch: [ 50] [3250/4000] time: 29497.0828, net0_loss = 0.10949, net0_acc = 0.9815, net0_test_acc = 0.9034,     net1_loss = 0.07983, net1_acc = 0.9885, net1_test_acc = 0.8700
Epoch: [ 50] [3250/4000] time: 29497.0829, dice0 = 0.04006, cross0 = 0.0555, kl0 = 0.0023, exclusion0 = 0.0255,     dice1 = 0.03216, cross1 = 0.0282, kl1 = 0.0025, exclusion1 = 0.0363
1.1844541
Epoch: [ 50] [3300/4000] time: 29504.4952, net0_loss = 0.47820, net0_acc = 0.9277, net0_test_acc = 0.9374,     net1_loss = 0.11738, net1_acc = 0.9821, net1_test_acc = 0.9260
Epoch: [ 50] [3300/4000] time: 29504.4953, dice0 = 0.16159, cross0 = 0.2284, kl0 = 0.0259, exclusion0 = 0.1505,     dice1 = 0.04425, cross1 = 0.0507, kl1 = 0.0045, exclusion1 = 0.0403
1.1408371
Epoch: [ 50] [3350/4000] time: 29511.9139, net0_loss = 0.08115, net0_acc = 0.9906, net0_test_acc = 0.8939,     net1_loss = 0.12736, net1_acc = 0.9779, net1_test_acc = 0.8972
Epoch: [ 50] [3350/4000] time: 29511.9140, dice0 = 0.03005, cross0 = 0.0269, kl0 = 0.0085, exclusion0 = 0.0399,     dice1 = 0.04831, cross1 = 0.0600, kl1 = 0.0038, exclusion1 = 0.0344
1.2092773
Epoch: [ 50] [3400/4000] time: 29519.3416, net0_loss = 0.20231, net0_acc = 0.9678, net0_test_acc = 0.9375,     net1_loss = 0.17425, net1_acc = 0.9722, net1_test_acc = 0.9572
Epoch: [ 50] [3400/4000] time: 29519.3416, dice0 = 0.07017, cross0 = 0.0851, kl0 = 0.0184, exclusion0 = 0.0757,     dice1 = 0.06529, cross1 = 0.0786, kl1 = 0.0078, exclusion1 = 0.0529
1.2158544
Epoch: [ 50] [3450/4000] time: 29526.7265, net0_loss = 0.17860, net0_acc = 0.9718, net0_test_acc = 0.9787,     net1_loss = 0.05877, net1_acc = 0.9921, net1_test_acc = 0.9896
Epoch: [ 50] [3450/4000] time: 29526.7266, dice0 = 0.06743, cross0 = 0.0674, kl0 = 0.0137, exclusion0 = 0.0738,     dice1 = 0.02465, cross1 = 0.0188, kl1 = 0.0017, exclusion1 = 0.0289
1.135482
Epoch: [ 50] [3500/4000] time: 29534.1277, net0_loss = 0.22148, net0_acc = 0.9641, net0_test_acc = 0.9620,     net1_loss = 0.14651, net1_acc = 0.9759, net1_test_acc = 0.9527
Epoch: [ 50] [3500/4000] time: 29534.1277, dice0 = 0.08395, cross0 = 0.0870, kl0 = 0.0144, exclusion0 = 0.0867,     dice1 = 0.05503, cross1 = 0.0672, kl1 = 0.0046, exclusion1 = 0.0439
1.2114701
Epoch: [ 50] [3550/4000] time: 29541.5520, net0_loss = 0.26971, net0_acc = 0.9582, net0_test_acc = 0.9712,     net1_loss = 0.29531, net1_acc = 0.9540, net1_test_acc = 0.9302
Epoch: [ 50] [3550/4000] time: 29541.5521, dice0 = 0.08508, cross0 = 0.1453, kl0 = 0.0148, exclusion0 = 0.0638,     dice1 = 0.09360, cross1 = 0.1745, kl1 = 0.0086, exclusion1 = 0.0457
1.1376005
Epoch: [ 50] [3600/4000] time: 29548.9410, net0_loss = 0.10153, net0_acc = 0.9836, net0_test_acc = 0.9028,     net1_loss = 0.12600, net1_acc = 0.9808, net1_test_acc = 0.9880
Epoch: [ 50] [3600/4000] time: 29548.9411, dice0 = 0.04100, cross0 = 0.0380, kl0 = 0.0041, exclusion0 = 0.0409,     dice1 = 0.04759, cross1 = 0.0521, kl1 = 0.0055, exclusion1 = 0.0471
1.2249728
Epoch: [ 50] [3650/4000] time: 29556.3320, net0_loss = 0.25320, net0_acc = 0.9597, net0_test_acc = 0.9267,     net1_loss = 0.10184, net1_acc = 0.9832, net1_test_acc = 0.9905
Epoch: [ 50] [3650/4000] time: 29556.3321, dice0 = 0.08493, cross0 = 0.1320, kl0 = 0.0115, exclusion0 = 0.0609,     dice1 = 0.03978, cross1 = 0.0430, kl1 = 0.0030, exclusion1 = 0.0352
1.1832607
Epoch: [ 50] [3700/4000] time: 29563.7208, net0_loss = 0.10231, net0_acc = 0.9820, net0_test_acc = 0.9046,     net1_loss = 0.27581, net1_acc = 0.9558, net1_test_acc = 0.9135
Epoch: [ 50] [3700/4000] time: 29563.7208, dice0 = 0.03975, cross0 = 0.0452, kl0 = 0.0036, exclusion0 = 0.0312,     dice1 = 0.09434, cross1 = 0.1267, kl1 = 0.0210, exclusion1 = 0.0885
1.1821711
Epoch: [ 50] [3750/4000] time: 29571.1434, net0_loss = 0.17399, net0_acc = 0.9696, net0_test_acc = 0.9651,     net1_loss = 0.10424, net1_acc = 0.9853, net1_test_acc = 0.9593
Epoch: [ 50] [3750/4000] time: 29571.1435, dice0 = 0.06660, cross0 = 0.0812, kl0 = 0.0031, exclusion0 = 0.0493,     dice1 = 0.04205, cross1 = 0.0360, kl1 = 0.0051, exclusion1 = 0.0473
1.0852458
Epoch: [ 50] [3800/4000] time: 29578.5812, net0_loss = 0.20488, net0_acc = 0.9653, net0_test_acc = 0.7567,     net1_loss = 0.25800, net1_acc = 0.9568, net1_test_acc = 0.8912
Epoch: [ 50] [3800/4000] time: 29578.5813, dice0 = 0.07344, cross0 = 0.0998, kl0 = 0.0085, exclusion0 = 0.0548,     dice1 = 0.09207, cross1 = 0.1236, kl1 = 0.0123, exclusion1 = 0.0725
1.1483297
Epoch: [ 50] [3850/4000] time: 29585.9854, net0_loss = 0.30919, net0_acc = 0.9445, net0_test_acc = 0.8383,     net1_loss = 0.05127, net1_acc = 0.9929, net1_test_acc = 0.8276
Epoch: [ 50] [3850/4000] time: 29585.9855, dice0 = 0.11107, cross0 = 0.1572, kl0 = 0.0093, exclusion0 = 0.0725,     dice1 = 0.02119, cross1 = 0.0175, kl1 = 0.0012, exclusion1 = 0.0240
1.1291484
Epoch: [ 50] [3900/4000] time: 29593.3819, net0_loss = 0.19424, net0_acc = 0.9693, net0_test_acc = 0.9854,     net1_loss = 0.18337, net1_acc = 0.9730, net1_test_acc = 0.9643
Epoch: [ 50] [3900/4000] time: 29593.3819, dice0 = 0.07334, cross0 = 0.0721, kl0 = 0.0137, exclusion0 = 0.0839,     dice1 = 0.06907, cross1 = 0.0656, kl1 = 0.0158, exclusion1 = 0.0817
1.0919824
Epoch: [ 50] [3950/4000] time: 29600.8213, net0_loss = 0.04978, net0_acc = 0.9937, net0_test_acc = 0.9324,     net1_loss = 0.07069, net1_acc = 0.9881, net1_test_acc = 0.9453
Epoch: [ 50] [3950/4000] time: 29600.8214, dice0 = 0.01782, cross0 = 0.0185, kl0 = 0.0038, exclusion0 = 0.0232,     dice1 = 0.02786, cross1 = 0.0289, kl1 = 0.0038, exclusion1 = 0.0241
1.1749297
Epoch: [ 51] [  0/4000] time: 29609.1055, net0_loss = 0.11530, net0_acc = 0.9825, net0_test_acc = 0.9554,     net1_loss = 0.20914, net1_acc = 0.9620, net1_test_acc = 0.9617
Epoch: [ 51] [  0/4000] time: 29609.1056, dice0 = 0.04377, cross0 = 0.0419, kl0 = 0.0077, exclusion0 = 0.0516,     dice1 = 0.07911, cross1 = 0.0949, kl1 = 0.0083, exclusion1 = 0.0620
1.2327813
Epoch: [ 51] [ 50/4000] time: 29616.6004, net0_loss = 0.08442, net0_acc = 0.9875, net0_test_acc = 0.8994,     net1_loss = 0.24205, net1_acc = 0.9598, net1_test_acc = 0.9788
Epoch: [ 51] [ 50/4000] time: 29616.6005, dice0 = 0.03527, cross0 = 0.0294, kl0 = 0.0025, exclusion0 = 0.0369,     dice1 = 0.08559, cross1 = 0.1192, kl1 = 0.0082, exclusion1 = 0.0662
1.124676
Epoch: [ 51] [100/4000] time: 29624.0516, net0_loss = 0.14798, net0_acc = 0.9760, net0_test_acc = 0.9521,     net1_loss = 0.07085, net1_acc = 0.9878, net1_test_acc = 0.9332
Epoch: [ 51] [100/4000] time: 29624.0516, dice0 = 0.05603, cross0 = 0.0609, kl0 = 0.0076, exclusion0 = 0.0546,     dice1 = 0.02841, cross1 = 0.0287, kl1 = 0.0019, exclusion1 = 0.0256
1.1970323
Epoch: [ 51] [150/4000] time: 29631.4772, net0_loss = 0.11085, net0_acc = 0.9831, net0_test_acc = 0.9462,     net1_loss = 0.09641, net1_acc = 0.9847, net1_test_acc = 0.9242
Epoch: [ 51] [150/4000] time: 29631.4773, dice0 = 0.04482, cross0 = 0.0410, kl0 = 0.0032, exclusion0 = 0.0469,     dice1 = 0.03820, cross1 = 0.0369, kl1 = 0.0036, exclusion1 = 0.0390
1.2033247
Epoch: [ 51] [200/4000] time: 29638.8496, net0_loss = 0.20668, net0_acc = 0.9692, net0_test_acc = 0.9712,     net1_loss = 0.15799, net1_acc = 0.9770, net1_test_acc = 0.9236
Epoch: [ 51] [200/4000] time: 29638.8496, dice0 = 0.07475, cross0 = 0.0798, kl0 = 0.0147, exclusion0 = 0.0896,     dice1 = 0.06030, cross1 = 0.0587, kl1 = 0.0097, exclusion1 = 0.0683
1.1717551
Epoch: [ 51] [250/4000] time: 29646.2579, net0_loss = 0.05218, net0_acc = 0.9926, net0_test_acc = 0.7608,     net1_loss = 0.09938, net1_acc = 0.9835, net1_test_acc = 0.9435
Epoch: [ 51] [250/4000] time: 29646.2580, dice0 = 0.02141, cross0 = 0.0180, kl0 = 0.0019, exclusion0 = 0.0237,     dice1 = 0.04005, cross1 = 0.0386, kl1 = 0.0032, exclusion1 = 0.0382
1.2107967
Epoch: [ 51] [300/4000] time: 29653.4843, net0_loss = 0.04452, net0_acc = 0.9933, net0_test_acc = 0.8890,     net1_loss = 0.40229, net1_acc = 0.9367, net1_test_acc = 0.8137
Epoch: [ 51] [300/4000] time: 29653.4843, dice0 = 0.01774, cross0 = 0.0158, kl0 = 0.0024, exclusion0 = 0.0197,     dice1 = 0.13270, cross1 = 0.1843, kl1 = 0.0397, exclusion1 = 0.1309
1.183669
Epoch: [ 51] [350/4000] time: 29660.9034, net0_loss = 0.06323, net0_acc = 0.9908, net0_test_acc = 0.8930,     net1_loss = 0.12122, net1_acc = 0.9808, net1_test_acc = 0.9672
Epoch: [ 51] [350/4000] time: 29660.9035, dice0 = 0.02518, cross0 = 0.0241, kl0 = 0.0025, exclusion0 = 0.0254,     dice1 = 0.04880, cross1 = 0.0450, kl1 = 0.0037, exclusion1 = 0.0511
1.2528288
Epoch: [ 51] [400/4000] time: 29668.4803, net0_loss = 0.06557, net0_acc = 0.9918, net0_test_acc = 0.9455,     net1_loss = 0.19816, net1_acc = 0.9697, net1_test_acc = 0.9770
Epoch: [ 51] [400/4000] time: 29668.4804, dice0 = 0.02212, cross0 = 0.0315, kl0 = 0.0023, exclusion0 = 0.0216,     dice1 = 0.06525, cross1 = 0.0959, kl1 = 0.0153, exclusion1 = 0.0587
1.1747587
Epoch: [ 51] [450/4000] time: 29675.9332, net0_loss = 0.33630, net0_acc = 0.9442, net0_test_acc = 0.9127,     net1_loss = 0.18404, net1_acc = 0.9704, net1_test_acc = 0.9349
Epoch: [ 51] [450/4000] time: 29675.9333, dice0 = 0.12247, cross0 = 0.1432, kl0 = 0.0223, exclusion0 = 0.1190,     dice1 = 0.06840, cross1 = 0.0841, kl1 = 0.0078, exclusion1 = 0.0552
1.2836803
Epoch: [ 51] [500/4000] time: 29683.3232, net0_loss = 0.18579, net0_acc = 0.9702, net0_test_acc = 0.9574,     net1_loss = 0.30943, net1_acc = 0.9511, net1_test_acc = 0.9287
Epoch: [ 51] [500/4000] time: 29683.3232, dice0 = 0.06563, cross0 = 0.0948, kl0 = 0.0055, exclusion0 = 0.0452,     dice1 = 0.10575, cross1 = 0.1201, kl1 = 0.0516, exclusion1 = 0.1157
1.3419782
Epoch: [ 51] [550/4000] time: 29690.7421, net0_loss = 0.10685, net0_acc = 0.9844, net0_test_acc = 0.7530,     net1_loss = 0.10436, net1_acc = 0.9824, net1_test_acc = 0.7841
Epoch: [ 51] [550/4000] time: 29690.7422, dice0 = 0.04291, cross0 = 0.0379, kl0 = 0.0044, exclusion0 = 0.0477,     dice1 = 0.04018, cross1 = 0.0465, kl1 = 0.0035, exclusion1 = 0.0318
1.2413001
Epoch: [ 51] [600/4000] time: 29698.1412, net0_loss = 0.03562, net0_acc = 0.9954, net0_test_acc = 0.8061,     net1_loss = 0.10150, net1_acc = 0.9846, net1_test_acc = 0.8136
Epoch: [ 51] [600/4000] time: 29698.1413, dice0 = 0.01283, cross0 = 0.0145, kl0 = 0.0017, exclusion0 = 0.0148,     dice1 = 0.03755, cross1 = 0.0428, kl1 = 0.0052, exclusion1 = 0.0372
1.1838409
Epoch: [ 51] [650/4000] time: 29705.5564, net0_loss = 0.08705, net0_acc = 0.9858, net0_test_acc = 0.9770,     net1_loss = 0.15569, net1_acc = 0.9708, net1_test_acc = 0.9439
Epoch: [ 51] [650/4000] time: 29705.5565, dice0 = 0.03564, cross0 = 0.0344, kl0 = 0.0016, exclusion0 = 0.0324,     dice1 = 0.05931, cross1 = 0.0800, kl1 = 0.0018, exclusion1 = 0.0310
1.1346393
Epoch: [ 51] [700/4000] time: 29712.9783, net0_loss = 0.09363, net0_acc = 0.9883, net0_test_acc = 0.9888,     net1_loss = 0.21912, net1_acc = 0.9653, net1_test_acc = 0.9523
Epoch: [ 51] [700/4000] time: 29712.9784, dice0 = 0.03319, cross0 = 0.0296, kl0 = 0.0094, exclusion0 = 0.0524,     dice1 = 0.08269, cross1 = 0.0817, kl1 = 0.0163, exclusion1 = 0.0930
1.1703109
Epoch: [ 51] [750/4000] time: 29720.3446, net0_loss = 0.20625, net0_acc = 0.9659, net0_test_acc = 0.9502,     net1_loss = 0.05613, net1_acc = 0.9913, net1_test_acc = 0.7983
Epoch: [ 51] [750/4000] time: 29720.3446, dice0 = 0.07122, cross0 = 0.1011, kl0 = 0.0104, exclusion0 = 0.0574,     dice1 = 0.02194, cross1 = 0.0230, kl1 = 0.0023, exclusion1 = 0.0202
1.1546736
Epoch: [ 51] [800/4000] time: 29727.7520, net0_loss = 0.22877, net0_acc = 0.9624, net0_test_acc = 0.9797,     net1_loss = 0.22109, net1_acc = 0.9628, net1_test_acc = 0.8998
Epoch: [ 51] [800/4000] time: 29727.7521, dice0 = 0.08168, cross0 = 0.1123, kl0 = 0.0092, exclusion0 = 0.0603,     dice1 = 0.07954, cross1 = 0.1149, kl1 = 0.0063, exclusion1 = 0.0469
1.1051522
Epoch: [ 51] [850/4000] time: 29735.1806, net0_loss = 0.18904, net0_acc = 0.9682, net0_test_acc = 0.9546,     net1_loss = 0.26767, net1_acc = 0.9533, net1_test_acc = 0.9609
Epoch: [ 51] [850/4000] time: 29735.1806, dice0 = 0.07301, cross0 = 0.0755, kl0 = 0.0110, exclusion0 = 0.0701,     dice1 = 0.09819, cross1 = 0.1325, kl1 = 0.0066, exclusion1 = 0.0673
1.1351572
Epoch: [ 51] [900/4000] time: 29742.5622, net0_loss = 0.16118, net0_acc = 0.9720, net0_test_acc = 0.9415,     net1_loss = 0.12490, net1_acc = 0.9779, net1_test_acc = 0.9811
Epoch: [ 51] [900/4000] time: 29742.5623, dice0 = 0.06061, cross0 = 0.0704, kl0 = 0.0091, exclusion0 = 0.0513,     dice1 = 0.04799, cross1 = 0.0570, kl1 = 0.0040, exclusion1 = 0.0358
1.2896022
Epoch: [ 51] [950/4000] time: 29750.0317, net0_loss = 0.12868, net0_acc = 0.9784, net0_test_acc = 0.8689,     net1_loss = 0.13974, net1_acc = 0.9787, net1_test_acc = 0.9526
Epoch: [ 51] [950/4000] time: 29750.0318, dice0 = 0.05148, cross0 = 0.0496, kl0 = 0.0053, exclusion0 = 0.0499,     dice1 = 0.05332, cross1 = 0.0551, kl1 = 0.0092, exclusion1 = 0.0534
1.2239239
Epoch: [ 51] [1000/4000] time: 29757.3090, net0_loss = 0.16653, net0_acc = 0.9698, net0_test_acc = 0.8997,     net1_loss = 0.07878, net1_acc = 0.9911, net1_test_acc = 0.9653
Epoch: [ 51] [1000/4000] time: 29757.3091, dice0 = 0.06040, cross0 = 0.0850, kl0 = 0.0055, exclusion0 = 0.0367,     dice1 = 0.02464, cross1 = 0.0322, kl1 = 0.0078, exclusion1 = 0.0361
1.255778
Epoch: [ 51] [1050/4000] time: 29764.8771, net0_loss = 0.25502, net0_acc = 0.9576, net0_test_acc = 0.9660,     net1_loss = 0.21958, net1_acc = 0.9648, net1_test_acc = 0.9733
Epoch: [ 51] [1050/4000] time: 29764.8773, dice0 = 0.08901, cross0 = 0.1288, kl0 = 0.0098, exclusion0 = 0.0646,     dice1 = 0.08039, cross1 = 0.0949, kl1 = 0.0131, exclusion1 = 0.0756
1.2615075
Epoch: [ 51] [1100/4000] time: 29772.3165, net0_loss = 0.31100, net0_acc = 0.9463, net0_test_acc = 0.9126,     net1_loss = 0.05324, net1_acc = 0.9916, net1_test_acc = 0.9733
Epoch: [ 51] [1100/4000] time: 29772.3166, dice0 = 0.10920, cross0 = 0.1631, kl0 = 0.0096, exclusion0 = 0.0677,     dice1 = 0.02152, cross1 = 0.0206, kl1 = 0.0013, exclusion1 = 0.0210
1.1585094
Epoch: [ 51] [1150/4000] time: 29779.7495, net0_loss = 0.51131, net0_acc = 0.9276, net0_test_acc = 0.9771,     net1_loss = 0.20575, net1_acc = 0.9656, net1_test_acc = 0.9562
Epoch: [ 51] [1150/4000] time: 29779.7495, dice0 = 0.15357, cross0 = 0.3003, kl0 = 0.0120, exclusion0 = 0.1028,     dice1 = 0.07438, cross1 = 0.1006, kl1 = 0.0055, exclusion1 = 0.0562
1.1621628
Epoch: [ 51] [1200/4000] time: 29787.1572, net0_loss = 0.15254, net0_acc = 0.9746, net0_test_acc = 0.7562,     net1_loss = 0.04312, net1_acc = 0.9943, net1_test_acc = 0.9200
Epoch: [ 51] [1200/4000] time: 29787.1573, dice0 = 0.05617, cross0 = 0.0615, kl0 = 0.0114, exclusion0 = 0.0583,     dice1 = 0.01784, cross1 = 0.0139, kl1 = 0.0016, exclusion1 = 0.0212
1.1885872
Epoch: [ 51] [1250/4000] time: 29794.6084, net0_loss = 0.13049, net0_acc = 0.9803, net0_test_acc = 0.9327,     net1_loss = 0.12707, net1_acc = 0.9785, net1_test_acc = 0.9421
Epoch: [ 51] [1250/4000] time: 29794.6084, dice0 = 0.05032, cross0 = 0.0542, kl0 = 0.0050, exclusion0 = 0.0470,     dice1 = 0.05030, cross1 = 0.0509, kl1 = 0.0055, exclusion1 = 0.0464
1.1923399
Epoch: [ 51] [1300/4000] time: 29802.0276, net0_loss = 0.24372, net0_acc = 0.9624, net0_test_acc = 0.9363,     net1_loss = 0.12196, net1_acc = 0.9796, net1_test_acc = 0.9483
Epoch: [ 51] [1300/4000] time: 29802.0276, dice0 = 0.08575, cross0 = 0.0987, kl0 = 0.0242, exclusion0 = 0.0944,     dice1 = 0.04417, cross1 = 0.0598, kl1 = 0.0051, exclusion1 = 0.0310
1.2444574
Epoch: [ 51] [1350/4000] time: 29809.3461, net0_loss = 0.05947, net0_acc = 0.9912, net0_test_acc = 0.9429,     net1_loss = 0.06908, net1_acc = 0.9906, net1_test_acc = 0.9343
Epoch: [ 51] [1350/4000] time: 29809.3462, dice0 = 0.02181, cross0 = 0.0277, kl0 = 0.0015, exclusion0 = 0.0184,     dice1 = 0.02601, cross1 = 0.0296, kl1 = 0.0024, exclusion1 = 0.0246
1.2512577
Epoch: [ 51] [1400/4000] time: 29816.7675, net0_loss = 0.25957, net0_acc = 0.9564, net0_test_acc = 0.8099,     net1_loss = 0.10170, net1_acc = 0.9832, net1_test_acc = 0.9450
Epoch: [ 51] [1400/4000] time: 29816.7675, dice0 = 0.09496, cross0 = 0.1260, kl0 = 0.0088, exclusion0 = 0.0685,     dice1 = 0.04036, cross1 = 0.0419, kl1 = 0.0038, exclusion1 = 0.0351
1.1034169
Epoch: [ 51] [1450/4000] time: 29824.2339, net0_loss = 0.22856, net0_acc = 0.9588, net0_test_acc = 0.9039,     net1_loss = 0.09746, net1_acc = 0.9849, net1_test_acc = 0.9207
Epoch: [ 51] [1450/4000] time: 29824.2339, dice0 = 0.08145, cross0 = 0.1208, kl0 = 0.0070, exclusion0 = 0.0455,     dice1 = 0.03603, cross1 = 0.0446, kl1 = 0.0031, exclusion1 = 0.0306
1.2080867
Epoch: [ 51] [1500/4000] time: 29831.6226, net0_loss = 0.03790, net0_acc = 0.9950, net0_test_acc = 0.9488,     net1_loss = 0.12274, net1_acc = 0.9793, net1_test_acc = 0.9379
Epoch: [ 51] [1500/4000] time: 29831.6226, dice0 = 0.01559, cross0 = 0.0126, kl0 = 0.0009, exclusion0 = 0.0185,     dice1 = 0.04711, cross1 = 0.0539, kl1 = 0.0054, exclusion1 = 0.0381
1.1093738
Epoch: [ 51] [1550/4000] time: 29839.0420, net0_loss = 0.11041, net0_acc = 0.9805, net0_test_acc = 0.8248,     net1_loss = 0.08188, net1_acc = 0.9868, net1_test_acc = 0.9386
Epoch: [ 51] [1550/4000] time: 29839.0421, dice0 = 0.04399, cross0 = 0.0470, kl0 = 0.0026, exclusion0 = 0.0362,     dice1 = 0.03355, cross1 = 0.0293, kl1 = 0.0029, exclusion1 = 0.0351
1.2070926
Epoch: [ 51] [1600/4000] time: 29846.4799, net0_loss = 0.03524, net0_acc = 0.9956, net0_test_acc = 0.9660,     net1_loss = 0.20351, net1_acc = 0.9680, net1_test_acc = 0.9641
Epoch: [ 51] [1600/4000] time: 29846.4800, dice0 = 0.01471, cross0 = 0.0110, kl0 = 0.0009, exclusion0 = 0.0182,     dice1 = 0.07878, cross1 = 0.0743, kl1 = 0.0159, exclusion1 = 0.0850
1.139822
Epoch: [ 51] [1650/4000] time: 29853.9664, net0_loss = 0.21400, net0_acc = 0.9643, net0_test_acc = 0.9504,     net1_loss = 0.19775, net1_acc = 0.9636, net1_test_acc = 0.9895
Epoch: [ 51] [1650/4000] time: 29853.9665, dice0 = 0.08148, cross0 = 0.0903, kl0 = 0.0110, exclusion0 = 0.0734,     dice1 = 0.07750, cross1 = 0.0903, kl1 = 0.0031, exclusion1 = 0.0568
1.1849883
Epoch: [ 51] [1700/4000] time: 29861.3677, net0_loss = 0.13308, net0_acc = 0.9766, net0_test_acc = 0.9604,     net1_loss = 0.20929, net1_acc = 0.9650, net1_test_acc = 0.9155
Epoch: [ 51] [1700/4000] time: 29861.3678, dice0 = 0.05002, cross0 = 0.0605, kl0 = 0.0054, exclusion0 = 0.0397,     dice1 = 0.07828, cross1 = 0.0959, kl1 = 0.0074, exclusion1 = 0.0628
1.1777568
Epoch: [ 51] [1750/4000] time: 29868.7488, net0_loss = 0.24655, net0_acc = 0.9586, net0_test_acc = 0.8736,     net1_loss = 0.07858, net1_acc = 0.9872, net1_test_acc = 0.9160
Epoch: [ 51] [1750/4000] time: 29868.7488, dice0 = 0.08737, cross0 = 0.1188, kl0 = 0.0109, exclusion0 = 0.0699,     dice1 = 0.03048, cross1 = 0.0330, kl1 = 0.0028, exclusion1 = 0.0274
1.1988598
Epoch: [ 51] [1800/4000] time: 29876.1083, net0_loss = 0.24881, net0_acc = 0.9577, net0_test_acc = 0.8241,     net1_loss = 0.27582, net1_acc = 0.9525, net1_test_acc = 0.9558
Epoch: [ 51] [1800/4000] time: 29876.1084, dice0 = 0.09149, cross0 = 0.1123, kl0 = 0.0118, exclusion0 = 0.0783,     dice1 = 0.09853, cross1 = 0.1290, kl1 = 0.0157, exclusion1 = 0.0808
1.2038586
Epoch: [ 51] [1850/4000] time: 29883.4697, net0_loss = 0.03131, net0_acc = 0.9966, net0_test_acc = 0.9821,     net1_loss = 0.06641, net1_acc = 0.9912, net1_test_acc = 0.8679
Epoch: [ 51] [1850/4000] time: 29883.4697, dice0 = 0.01277, cross0 = 0.0090, kl0 = 0.0014, exclusion0 = 0.0177,     dice1 = 0.02705, cross1 = 0.0215, kl1 = 0.0025, exclusion1 = 0.0332
1.2123015
Epoch: [ 51] [1900/4000] time: 29890.8982, net0_loss = 0.13867, net0_acc = 0.9780, net0_test_acc = 0.9469,     net1_loss = 0.20577, net1_acc = 0.9668, net1_test_acc = 0.9618
Epoch: [ 51] [1900/4000] time: 29890.8983, dice0 = 0.05499, cross0 = 0.0538, kl0 = 0.0056, exclusion0 = 0.0542,     dice1 = 0.07336, cross1 = 0.0905, kl1 = 0.0181, exclusion1 = 0.0657
1.0749766
Epoch: [ 51] [1950/4000] time: 29898.4303, net0_loss = 0.09750, net0_acc = 0.9853, net0_test_acc = 0.8907,     net1_loss = 0.09428, net1_acc = 0.9836, net1_test_acc = 0.9135
Epoch: [ 51] [1950/4000] time: 29898.4304, dice0 = 0.03874, cross0 = 0.0368, kl0 = 0.0030, exclusion0 = 0.0410,     dice1 = 0.03669, cross1 = 0.0426, kl1 = 0.0024, exclusion1 = 0.0275
1.1886666
Epoch: [ 51] [2000/4000] time: 29905.8501, net0_loss = 0.10859, net0_acc = 0.9818, net0_test_acc = 0.9577,     net1_loss = 0.09650, net1_acc = 0.9862, net1_test_acc = 0.8957
Epoch: [ 51] [2000/4000] time: 29905.8502, dice0 = 0.04113, cross0 = 0.0490, kl0 = 0.0038, exclusion0 = 0.0330,     dice1 = 0.03372, cross1 = 0.0422, kl1 = 0.0065, exclusion1 = 0.0347
1.1305585
Epoch: [ 51] [2050/4000] time: 29913.3013, net0_loss = 0.29708, net0_acc = 0.9557, net0_test_acc = 0.9615,     net1_loss = 0.31961, net1_acc = 0.9473, net1_test_acc = 0.9614
Epoch: [ 51] [2050/4000] time: 29913.3014, dice0 = 0.09068, cross0 = 0.1670, kl0 = 0.0175, exclusion0 = 0.0613,     dice1 = 0.10790, cross1 = 0.1554, kl1 = 0.0185, exclusion1 = 0.0941
1.1989093
Epoch: [ 51] [2100/4000] time: 29920.6587, net0_loss = 0.13116, net0_acc = 0.9780, net0_test_acc = 0.9203,     net1_loss = 0.25467, net1_acc = 0.9588, net1_test_acc = 0.9510
Epoch: [ 51] [2100/4000] time: 29920.6587, dice0 = 0.04937, cross0 = 0.0511, kl0 = 0.0105, exclusion0 = 0.0510,     dice1 = 0.08954, cross1 = 0.1295, kl1 = 0.0067, exclusion1 = 0.0645
1.1708816
Epoch: [ 51] [2150/4000] time: 29928.1159, net0_loss = 0.17925, net0_acc = 0.9732, net0_test_acc = 0.9405,     net1_loss = 0.19958, net1_acc = 0.9643, net1_test_acc = 0.7827
Epoch: [ 51] [2150/4000] time: 29928.1160, dice0 = 0.07040, cross0 = 0.0675, kl0 = 0.0086, exclusion0 = 0.0742,     dice1 = 0.07477, cross1 = 0.0962, kl1 = 0.0050, exclusion1 = 0.0522
1.1215293
Epoch: [ 51] [2200/4000] time: 29935.5097, net0_loss = 0.16623, net0_acc = 0.9724, net0_test_acc = 0.8566,     net1_loss = 0.16176, net1_acc = 0.9732, net1_test_acc = 0.8970
Epoch: [ 51] [2200/4000] time: 29935.5098, dice0 = 0.06432, cross0 = 0.0688, kl0 = 0.0064, exclusion0 = 0.0599,     dice1 = 0.06303, cross1 = 0.0694, kl1 = 0.0049, exclusion1 = 0.0538
1.1829224
Epoch: [ 51] [2250/4000] time: 29942.9666, net0_loss = 0.04824, net0_acc = 0.9923, net0_test_acc = 0.9146,     net1_loss = 0.16171, net1_acc = 0.9741, net1_test_acc = 0.8040
Epoch: [ 51] [2250/4000] time: 29942.9667, dice0 = 0.01920, cross0 = 0.0199, kl0 = 0.0011, exclusion0 = 0.0171,     dice1 = 0.06102, cross1 = 0.0697, kl1 = 0.0067, exclusion1 = 0.0554
1.1701784
Epoch: [ 51] [2300/4000] time: 29950.3891, net0_loss = 0.11781, net0_acc = 0.9822, net0_test_acc = 0.9347,     net1_loss = 0.19483, net1_acc = 0.9687, net1_test_acc = 0.9175
Epoch: [ 51] [2300/4000] time: 29950.3892, dice0 = 0.04219, cross0 = 0.0545, kl0 = 0.0055, exclusion0 = 0.0367,     dice1 = 0.07134, cross1 = 0.0857, kl1 = 0.0088, exclusion1 = 0.0669
1.1487888
Epoch: [ 51] [2350/4000] time: 29957.8072, net0_loss = 0.22693, net0_acc = 0.9625, net0_test_acc = 0.9151,     net1_loss = 0.28559, net1_acc = 0.9582, net1_test_acc = 0.9397
Epoch: [ 51] [2350/4000] time: 29957.8072, dice0 = 0.07633, cross0 = 0.1316, kl0 = 0.0030, exclusion0 = 0.0349,     dice1 = 0.08868, cross1 = 0.1247, kl1 = 0.0349, exclusion1 = 0.1095
1.1452444
Epoch: [ 51] [2400/4000] time: 29965.1644, net0_loss = 0.09082, net0_acc = 0.9862, net0_test_acc = 0.9725,     net1_loss = 0.08735, net1_acc = 0.9852, net1_test_acc = 0.9407
Epoch: [ 51] [2400/4000] time: 29965.1644, dice0 = 0.03464, cross0 = 0.0397, kl0 = 0.0047, exclusion0 = 0.0283,     dice1 = 0.03508, cross1 = 0.0365, kl1 = 0.0016, exclusion1 = 0.0300
1.1130852
Epoch: [ 51] [2450/4000] time: 29972.5141, net0_loss = 0.09283, net0_acc = 0.9847, net0_test_acc = 0.9241,     net1_loss = 0.21660, net1_acc = 0.9657, net1_test_acc = 0.8734
Epoch: [ 51] [2450/4000] time: 29972.5142, dice0 = 0.03465, cross0 = 0.0442, kl0 = 0.0025, exclusion0 = 0.0255,     dice1 = 0.07950, cross1 = 0.0897, kl1 = 0.0140, exclusion1 = 0.0808
1.1250786
Epoch: [ 51] [2500/4000] time: 29979.9945, net0_loss = 0.09223, net0_acc = 0.9874, net0_test_acc = 0.9533,     net1_loss = 0.13866, net1_acc = 0.9770, net1_test_acc = 0.9820
Epoch: [ 51] [2500/4000] time: 29979.9946, dice0 = 0.03617, cross0 = 0.0297, kl0 = 0.0057, exclusion0 = 0.0469,     dice1 = 0.05066, cross1 = 0.0620, kl1 = 0.0080, exclusion1 = 0.0440
1.0982275
Epoch: [ 51] [2550/4000] time: 29987.3162, net0_loss = 0.22875, net0_acc = 0.9626, net0_test_acc = 0.8725,     net1_loss = 0.18178, net1_acc = 0.9729, net1_test_acc = 0.8541
Epoch: [ 51] [2550/4000] time: 29987.3163, dice0 = 0.08061, cross0 = 0.1143, kl0 = 0.0084, exclusion0 = 0.0594,     dice1 = 0.05963, cross1 = 0.0681, kl1 = 0.0265, exclusion1 = 0.0817
1.1681787
Epoch: [ 51] [2600/4000] time: 29994.7501, net0_loss = 0.14259, net0_acc = 0.9783, net0_test_acc = 0.9293,     net1_loss = 0.25041, net1_acc = 0.9564, net1_test_acc = 0.9070
Epoch: [ 51] [2600/4000] time: 29994.7501, dice0 = 0.05579, cross0 = 0.0504, kl0 = 0.0069, exclusion0 = 0.0660,     dice1 = 0.09375, cross1 = 0.1056, kl1 = 0.0144, exclusion1 = 0.0878
1.0802788
Epoch: [ 51] [2650/4000] time: 30002.1426, net0_loss = 0.07278, net0_acc = 0.9899, net0_test_acc = 0.9545,     net1_loss = 0.13049, net1_acc = 0.9768, net1_test_acc = 0.9577
Epoch: [ 51] [2650/4000] time: 30002.1427, dice0 = 0.02875, cross0 = 0.0232, kl0 = 0.0044, exclusion0 = 0.0373,     dice1 = 0.05031, cross1 = 0.0599, kl1 = 0.0033, exclusion1 = 0.0372
1.1141676
Epoch: [ 51] [2700/4000] time: 30009.5532, net0_loss = 0.28101, net0_acc = 0.9545, net0_test_acc = 0.9257,     net1_loss = 0.12948, net1_acc = 0.9803, net1_test_acc = 0.9899
Epoch: [ 51] [2700/4000] time: 30009.5533, dice0 = 0.10735, cross0 = 0.1213, kl0 = 0.0100, exclusion0 = 0.0947,     dice1 = 0.04761, cross1 = 0.0501, kl1 = 0.0097, exclusion1 = 0.0539
1.1606878
Epoch: [ 51] [2750/4000] time: 30017.0117, net0_loss = 0.16805, net0_acc = 0.9719, net0_test_acc = 0.9633,     net1_loss = 0.14440, net1_acc = 0.9771, net1_test_acc = 0.7982
Epoch: [ 51] [2750/4000] time: 30017.0118, dice0 = 0.06226, cross0 = 0.0793, kl0 = 0.0060, exclusion0 = 0.0470,     dice1 = 0.05372, cross1 = 0.0605, kl1 = 0.0105, exclusion1 = 0.0500
1.1704878
Epoch: [ 51] [2800/4000] time: 30024.4189, net0_loss = 0.06136, net0_acc = 0.9906, net0_test_acc = 0.8768,     net1_loss = 0.15363, net1_acc = 0.9726, net1_test_acc = 0.9864
Epoch: [ 51] [2800/4000] time: 30024.4190, dice0 = 0.02494, cross0 = 0.0224, kl0 = 0.0019, exclusion0 = 0.0261,     dice1 = 0.05869, cross1 = 0.0713, kl1 = 0.0032, exclusion1 = 0.0440
1.0815495
Epoch: [ 51] [2850/4000] time: 30031.8308, net0_loss = 0.07382, net0_acc = 0.9882, net0_test_acc = 0.9518,     net1_loss = 0.16017, net1_acc = 0.9726, net1_test_acc = 0.9024
Epoch: [ 51] [2850/4000] time: 30031.8308, dice0 = 0.02896, cross0 = 0.0301, kl0 = 0.0029, exclusion0 = 0.0265,     dice1 = 0.06079, cross1 = 0.0690, kl1 = 0.0072, exclusion1 = 0.0535
1.2286704
Epoch: [ 51] [2900/4000] time: 30039.2315, net0_loss = 0.02904, net0_acc = 0.9965, net0_test_acc = 0.8744,     net1_loss = 0.08351, net1_acc = 0.9874, net1_test_acc = 0.9066
Epoch: [ 51] [2900/4000] time: 30039.2316, dice0 = 0.01118, cross0 = 0.0089, kl0 = 0.0020, exclusion0 = 0.0160,     dice1 = 0.03444, cross1 = 0.0303, kl1 = 0.0024, exclusion1 = 0.0352
1.2110134
Epoch: [ 51] [2950/4000] time: 30046.6159, net0_loss = 0.13130, net0_acc = 0.9783, net0_test_acc = 0.9295,     net1_loss = 0.13517, net1_acc = 0.9786, net1_test_acc = 0.8361
Epoch: [ 51] [2950/4000] time: 30046.6160, dice0 = 0.05080, cross0 = 0.0598, kl0 = 0.0028, exclusion0 = 0.0386,     dice1 = 0.04841, cross1 = 0.0631, kl1 = 0.0062, exclusion1 = 0.0410
1.1142974
Epoch: [ 51] [3000/4000] time: 30054.0541, net0_loss = 0.14928, net0_acc = 0.9760, net0_test_acc = 0.9136,     net1_loss = 0.23256, net1_acc = 0.9635, net1_test_acc = 0.8596
Epoch: [ 51] [3000/4000] time: 30054.0541, dice0 = 0.05991, cross0 = 0.0595, kl0 = 0.0051, exclusion0 = 0.0546,     dice1 = 0.08232, cross1 = 0.1134, kl1 = 0.0074, exclusion1 = 0.0663
1.0459646
Epoch: [ 51] [3050/4000] time: 30061.3640, net0_loss = 0.08173, net0_acc = 0.9856, net0_test_acc = 0.9278,     net1_loss = 0.24023, net1_acc = 0.9587, net1_test_acc = 0.9229
Epoch: [ 51] [3050/4000] time: 30061.3640, dice0 = 0.03169, cross0 = 0.0373, kl0 = 0.0040, exclusion0 = 0.0215,     dice1 = 0.08793, cross1 = 0.1135, kl1 = 0.0090, exclusion1 = 0.0686
1.1485796
Epoch: [ 51] [3100/4000] time: 30068.9225, net0_loss = 0.12278, net0_acc = 0.9827, net0_test_acc = 0.8828,     net1_loss = 0.09720, net1_acc = 0.9863, net1_test_acc = 0.9041
Epoch: [ 51] [3100/4000] time: 30068.9226, dice0 = 0.04688, cross0 = 0.0512, kl0 = 0.0035, exclusion0 = 0.0458,     dice1 = 0.03735, cross1 = 0.0357, kl1 = 0.0055, exclusion1 = 0.0427
1.164861
Epoch: [ 51] [3150/4000] time: 30076.3309, net0_loss = 0.20391, net0_acc = 0.9645, net0_test_acc = 0.9395,     net1_loss = 0.26674, net1_acc = 0.9572, net1_test_acc = 0.9595
Epoch: [ 51] [3150/4000] time: 30076.3310, dice0 = 0.07610, cross0 = 0.0939, kl0 = 0.0093, exclusion0 = 0.0586,     dice1 = 0.09736, cross1 = 0.1167, kl1 = 0.0124, exclusion1 = 0.0929
1.1654317
Epoch: [ 51] [3200/4000] time: 30083.7346, net0_loss = 0.19516, net0_acc = 0.9680, net0_test_acc = 0.9806,     net1_loss = 0.19191, net1_acc = 0.9678, net1_test_acc = 0.9886
Epoch: [ 51] [3200/4000] time: 30083.7346, dice0 = 0.07659, cross0 = 0.0786, kl0 = 0.0077, exclusion0 = 0.0722,     dice1 = 0.07290, cross1 = 0.0836, kl1 = 0.0077, exclusion1 = 0.0631
1.160856
Epoch: [ 51] [3250/4000] time: 30091.1614, net0_loss = 0.21944, net0_acc = 0.9674, net0_test_acc = 0.9648,     net1_loss = 0.15301, net1_acc = 0.9756, net1_test_acc = 0.9583
Epoch: [ 51] [3250/4000] time: 30091.1615, dice0 = 0.07593, cross0 = 0.1018, kl0 = 0.0125, exclusion0 = 0.0710,     dice1 = 0.05974, cross1 = 0.0591, kl1 = 0.0076, exclusion1 = 0.0608
1.1903747
Epoch: [ 51] [3300/4000] time: 30098.5313, net0_loss = 0.17423, net0_acc = 0.9733, net0_test_acc = 0.9768,     net1_loss = 0.16809, net1_acc = 0.9714, net1_test_acc = 0.9260
Epoch: [ 51] [3300/4000] time: 30098.5314, dice0 = 0.05977, cross0 = 0.0687, kl0 = 0.0184, exclusion0 = 0.0731,     dice1 = 0.06368, cross1 = 0.0726, kl1 = 0.0066, exclusion1 = 0.0570
1.1399685
Epoch: [ 51] [3350/4000] time: 30105.9777, net0_loss = 0.07281, net0_acc = 0.9892, net0_test_acc = 0.9300,     net1_loss = 0.22609, net1_acc = 0.9589, net1_test_acc = 0.9873
Epoch: [ 51] [3350/4000] time: 30105.9777, dice0 = 0.02822, cross0 = 0.0274, kl0 = 0.0054, exclusion0 = 0.0290,     dice1 = 0.08306, cross1 = 0.1164, kl1 = 0.0049, exclusion1 = 0.0484
1.0787517
Epoch: [ 51] [3400/4000] time: 30113.3911, net0_loss = 0.08696, net0_acc = 0.9852, net0_test_acc = 0.9237,     net1_loss = 0.13151, net1_acc = 0.9780, net1_test_acc = 0.9902
Epoch: [ 51] [3400/4000] time: 30113.3912, dice0 = 0.03311, cross0 = 0.0412, kl0 = 0.0023, exclusion0 = 0.0231,     dice1 = 0.05163, cross1 = 0.0526, kl1 = 0.0050, exclusion1 = 0.0495
1.1594927
Epoch: [ 51] [3450/4000] time: 30120.7981, net0_loss = 0.18850, net0_acc = 0.9683, net0_test_acc = 0.9088,     net1_loss = 0.34024, net1_acc = 0.9426, net1_test_acc = 0.9103
Epoch: [ 51] [3450/4000] time: 30120.7981, dice0 = 0.07231, cross0 = 0.0836, kl0 = 0.0067, exclusion0 = 0.0586,     dice1 = 0.11621, cross1 = 0.1613, kl1 = 0.0247, exclusion1 = 0.1008
1.0860933
Epoch: [ 51] [3500/4000] time: 30128.2153, net0_loss = 0.17591, net0_acc = 0.9740, net0_test_acc = 0.9722,     net1_loss = 0.12277, net1_acc = 0.9815, net1_test_acc = 0.9609
Epoch: [ 51] [3500/4000] time: 30128.2155, dice0 = 0.07045, cross0 = 0.0647, kl0 = 0.0066, exclusion0 = 0.0748,     dice1 = 0.04824, cross1 = 0.0455, kl1 = 0.0048, exclusion1 = 0.0532
1.1876378
Epoch: [ 51] [3550/4000] time: 30135.6616, net0_loss = 0.12179, net0_acc = 0.9805, net0_test_acc = 0.7573,     net1_loss = 0.16346, net1_acc = 0.9712, net1_test_acc = 0.8931
Epoch: [ 51] [3550/4000] time: 30135.6617, dice0 = 0.04722, cross0 = 0.0463, kl0 = 0.0078, exclusion0 = 0.0487,     dice1 = 0.05925, cross1 = 0.0759, kl1 = 0.0092, exclusion1 = 0.0473
1.3186406
Epoch: [ 51] [3600/4000] time: 30143.0461, net0_loss = 0.11755, net0_acc = 0.9817, net0_test_acc = 0.8367,     net1_loss = 0.16794, net1_acc = 0.9739, net1_test_acc = 0.8376
Epoch: [ 51] [3600/4000] time: 30143.0462, dice0 = 0.04638, cross0 = 0.0468, kl0 = 0.0051, exclusion0 = 0.0437,     dice1 = 0.06042, cross1 = 0.0729, kl1 = 0.0116, exclusion1 = 0.0577
1.1784016
Epoch: [ 51] [3650/4000] time: 30150.4315, net0_loss = 0.20628, net0_acc = 0.9680, net0_test_acc = 0.9861,     net1_loss = 0.08375, net1_acc = 0.9896, net1_test_acc = 0.9732
Epoch: [ 51] [3650/4000] time: 30150.4315, dice0 = 0.07995, cross0 = 0.0808, kl0 = 0.0112, exclusion0 = 0.0799,     dice1 = 0.03355, cross1 = 0.0257, kl1 = 0.0063, exclusion1 = 0.0428
1.1300529
Epoch: [ 51] [3700/4000] time: 30157.8431, net0_loss = 0.18522, net0_acc = 0.9712, net0_test_acc = 0.9376,     net1_loss = 0.18267, net1_acc = 0.9702, net1_test_acc = 0.9489
Epoch: [ 51] [3700/4000] time: 30157.8432, dice0 = 0.06241, cross0 = 0.0909, kl0 = 0.0099, exclusion0 = 0.0540,     dice1 = 0.07063, cross1 = 0.0735, kl1 = 0.0093, exclusion1 = 0.0677
1.1839106
Epoch: [ 51] [3750/4000] time: 30165.2621, net0_loss = 0.05178, net0_acc = 0.9935, net0_test_acc = 0.9507,     net1_loss = 0.31047, net1_acc = 0.9446, net1_test_acc = 0.9731
Epoch: [ 51] [3750/4000] time: 30165.2622, dice0 = 0.01800, cross0 = 0.0250, kl0 = 0.0012, exclusion0 = 0.0163,     dice1 = 0.11120, cross1 = 0.1646, kl1 = 0.0072, exclusion1 = 0.0621
1.2019075
Epoch: [ 51] [3800/4000] time: 30172.6645, net0_loss = 0.39547, net0_acc = 0.9329, net0_test_acc = 0.9172,     net1_loss = 0.09280, net1_acc = 0.9839, net1_test_acc = 0.9765
Epoch: [ 51] [3800/4000] time: 30172.6646, dice0 = 0.13381, cross0 = 0.2253, kl0 = 0.0062, exclusion0 = 0.0666,     dice1 = 0.03530, cross1 = 0.0464, kl1 = 0.0012, exclusion1 = 0.0210
1.318663
Epoch: [ 51] [3850/4000] time: 30179.9767, net0_loss = 0.35018, net0_acc = 0.9524, net0_test_acc = 0.9447,     net1_loss = 0.23510, net1_acc = 0.9592, net1_test_acc = 0.9314
Epoch: [ 51] [3850/4000] time: 30179.9768, dice0 = 0.09476, cross0 = 0.2221, kl0 = 0.0119, exclusion0 = 0.0547,     dice1 = 0.08277, cross1 = 0.1279, kl1 = 0.0035, exclusion1 = 0.0454
1.1024998
Epoch: [ 51] [3900/4000] time: 30187.4766, net0_loss = 0.19906, net0_acc = 0.9699, net0_test_acc = 0.9290,     net1_loss = 0.18274, net1_acc = 0.9668, net1_test_acc = 0.9178
Epoch: [ 51] [3900/4000] time: 30187.4766, dice0 = 0.07992, cross0 = 0.0737, kl0 = 0.0068, exclusion0 = 0.0842,     dice1 = 0.07236, cross1 = 0.0793, kl1 = 0.0055, exclusion1 = 0.0567
1.06318
Epoch: [ 51] [3950/4000] time: 30194.8861, net0_loss = 0.09605, net0_acc = 0.9838, net0_test_acc = 0.9721,     net1_loss = 0.07976, net1_acc = 0.9876, net1_test_acc = 0.9355
Epoch: [ 51] [3950/4000] time: 30194.8862, dice0 = 0.03761, cross0 = 0.0423, kl0 = 0.0027, exclusion0 = 0.0296,     dice1 = 0.03001, cross1 = 0.0360, kl1 = 0.0018, exclusion1 = 0.0258
1.1575321
Epoch: [ 52] [  0/4000] time: 30202.3105, net0_loss = 0.13495, net0_acc = 0.9754, net0_test_acc = 0.7446,     net1_loss = 0.23430, net1_acc = 0.9639, net1_test_acc = 0.9491
Epoch: [ 52] [  0/4000] time: 30202.3106, dice0 = 0.05097, cross0 = 0.0652, kl0 = 0.0034, exclusion0 = 0.0342,     dice1 = 0.08228, cross1 = 0.1104, kl1 = 0.0112, exclusion1 = 0.0720
1.076145
Epoch: [ 52] [ 50/4000] time: 30209.7012, net0_loss = 0.15566, net0_acc = 0.9750, net0_test_acc = 0.8831,     net1_loss = 0.16286, net1_acc = 0.9769, net1_test_acc = 0.8205
Epoch: [ 52] [ 50/4000] time: 30209.7012, dice0 = 0.06212, cross0 = 0.0604, kl0 = 0.0059, exclusion0 = 0.0605,     dice1 = 0.06299, cross1 = 0.0607, kl1 = 0.0070, exclusion1 = 0.0713
1.1004596
Epoch: [ 52] [100/4000] time: 30217.1148, net0_loss = 0.56009, net0_acc = 0.9139, net0_test_acc = 0.8991,     net1_loss = 0.17184, net1_acc = 0.9724, net1_test_acc = 0.9743
Epoch: [ 52] [100/4000] time: 30217.1149, dice0 = 0.18079, cross0 = 0.2872, kl0 = 0.0229, exclusion0 = 0.1612,     dice1 = 0.06634, cross1 = 0.0675, kl1 = 0.0081, exclusion1 = 0.0680
1.1849749
Epoch: [ 52] [150/4000] time: 30224.5059, net0_loss = 0.24068, net0_acc = 0.9574, net0_test_acc = 0.9386,     net1_loss = 0.11242, net1_acc = 0.9819, net1_test_acc = 0.9784
Epoch: [ 52] [150/4000] time: 30224.5059, dice0 = 0.08951, cross0 = 0.1125, kl0 = 0.0080, exclusion0 = 0.0693,     dice1 = 0.04539, cross1 = 0.0464, kl1 = 0.0020, exclusion1 = 0.0394
1.1268256
Epoch: [ 52] [200/4000] time: 30231.8812, net0_loss = 0.07437, net0_acc = 0.9883, net0_test_acc = 0.9018,     net1_loss = 0.06967, net1_acc = 0.9903, net1_test_acc = 0.9368
Epoch: [ 52] [200/4000] time: 30231.8812, dice0 = 0.02812, cross0 = 0.0318, kl0 = 0.0037, exclusion0 = 0.0252,     dice1 = 0.02632, cross1 = 0.0231, kl1 = 0.0058, exclusion1 = 0.0348
1.2353352
Epoch: [ 52] [250/4000] time: 30239.3185, net0_loss = 0.20442, net0_acc = 0.9643, net0_test_acc = 0.9525,     net1_loss = 0.22189, net1_acc = 0.9609, net1_test_acc = 0.9162
Epoch: [ 52] [250/4000] time: 30239.3186, dice0 = 0.08046, cross0 = 0.0906, kl0 = 0.0043, exclusion0 = 0.0625,     dice1 = 0.08079, cross1 = 0.1044, kl1 = 0.0090, exclusion1 = 0.0645
1.1617205
Epoch: [ 52] [300/4000] time: 30246.7419, net0_loss = 0.17639, net0_acc = 0.9747, net0_test_acc = 0.7364,     net1_loss = 0.38202, net1_acc = 0.9404, net1_test_acc = 0.7833
Epoch: [ 52] [300/4000] time: 30246.7420, dice0 = 0.06614, cross0 = 0.0598, kl0 = 0.0149, exclusion0 = 0.0860,     dice1 = 0.13583, cross1 = 0.1477, kl1 = 0.0342, exclusion1 = 0.1627
1.1858308
Epoch: [ 52] [350/4000] time: 30254.1647, net0_loss = 0.06921, net0_acc = 0.9909, net0_test_acc = 0.8371,     net1_loss = 0.16850, net1_acc = 0.9737, net1_test_acc = 0.8553
Epoch: [ 52] [350/4000] time: 30254.1649, dice0 = 0.02832, cross0 = 0.0225, kl0 = 0.0024, exclusion0 = 0.0345,     dice1 = 0.06743, cross1 = 0.0667, kl1 = 0.0052, exclusion1 = 0.0636
1.2135035
Epoch: [ 52] [400/4000] time: 30261.5830, net0_loss = 0.07455, net0_acc = 0.9902, net0_test_acc = 0.9784,     net1_loss = 0.23907, net1_acc = 0.9606, net1_test_acc = 0.9594
Epoch: [ 52] [400/4000] time: 30261.5831, dice0 = 0.02782, cross0 = 0.0252, kl0 = 0.0055, exclusion0 = 0.0376,     dice1 = 0.08820, cross1 = 0.1032, kl1 = 0.0139, exclusion1 = 0.0815
1.1848013
Epoch: [ 52] [450/4000] time: 30268.9712, net0_loss = 0.17510, net0_acc = 0.9732, net0_test_acc = 0.9890,     net1_loss = 0.30373, net1_acc = 0.9501, net1_test_acc = 0.9493
Epoch: [ 52] [450/4000] time: 30268.9713, dice0 = 0.06525, cross0 = 0.0657, kl0 = 0.0120, exclusion0 = 0.0763,     dice1 = 0.10925, cross1 = 0.1271, kl1 = 0.0283, exclusion1 = 0.1065
1.154676
Epoch: [ 52] [500/4000] time: 30276.3666, net0_loss = 0.31471, net0_acc = 0.9466, net0_test_acc = 0.9508,     net1_loss = 0.18155, net1_acc = 0.9713, net1_test_acc = 0.8547
Epoch: [ 52] [500/4000] time: 30276.3667, dice0 = 0.10879, cross0 = 0.1519, kl0 = 0.0208, exclusion0 = 0.0873,     dice1 = 0.06429, cross1 = 0.0833, kl1 = 0.0136, exclusion1 = 0.0543
1.1147579
Epoch: [ 52] [550/4000] time: 30283.7697, net0_loss = 0.14641, net0_acc = 0.9768, net0_test_acc = 0.9821,     net1_loss = 0.16128, net1_acc = 0.9734, net1_test_acc = 0.8555
Epoch: [ 52] [550/4000] time: 30283.7697, dice0 = 0.05904, cross0 = 0.0566, kl0 = 0.0038, exclusion0 = 0.0576,     dice1 = 0.05787, cross1 = 0.0678, kl1 = 0.0149, exclusion1 = 0.0562
1.1849145
Epoch: [ 52] [600/4000] time: 30291.1900, net0_loss = 0.22609, net0_acc = 0.9636, net0_test_acc = 0.9545,     net1_loss = 0.12536, net1_acc = 0.9803, net1_test_acc = 0.9672
Epoch: [ 52] [600/4000] time: 30291.1901, dice0 = 0.07816, cross0 = 0.1034, kl0 = 0.0175, exclusion0 = 0.0715,     dice1 = 0.04797, cross1 = 0.0506, kl1 = 0.0085, exclusion1 = 0.0451
1.240658
Epoch: [ 52] [650/4000] time: 30298.5409, net0_loss = 0.11520, net0_acc = 0.9824, net0_test_acc = 0.9455,     net1_loss = 0.29763, net1_acc = 0.9530, net1_test_acc = 0.9799
Epoch: [ 52] [650/4000] time: 30298.5409, dice0 = 0.04468, cross0 = 0.0496, kl0 = 0.0029, exclusion0 = 0.0389,     dice1 = 0.10887, cross1 = 0.1215, kl1 = 0.0185, exclusion1 = 0.1161
1.1157484
Epoch: [ 52] [700/4000] time: 30305.9287, net0_loss = 0.07987, net0_acc = 0.9873, net0_test_acc = 0.8390,     net1_loss = 0.14100, net1_acc = 0.9756, net1_test_acc = 0.9506
Epoch: [ 52] [700/4000] time: 30305.9287, dice0 = 0.03187, cross0 = 0.0328, kl0 = 0.0020, exclusion0 = 0.0285,     dice1 = 0.05395, cross1 = 0.0621, kl1 = 0.0050, exclusion1 = 0.0449
1.130633
Epoch: [ 52] [750/4000] time: 30313.3871, net0_loss = 0.14988, net0_acc = 0.9754, net0_test_acc = 0.9021,     net1_loss = 0.15400, net1_acc = 0.9739, net1_test_acc = 0.9617
Epoch: [ 52] [750/4000] time: 30313.3872, dice0 = 0.05878, cross0 = 0.0563, kl0 = 0.0081, exclusion0 = 0.0615,     dice1 = 0.05772, cross1 = 0.0707, kl1 = 0.0072, exclusion1 = 0.0438
1.2255719
Epoch: [ 52] [800/4000] time: 30320.8080, net0_loss = 0.05966, net0_acc = 0.9919, net0_test_acc = 0.9634,     net1_loss = 0.13445, net1_acc = 0.9790, net1_test_acc = 0.9536
Epoch: [ 52] [800/4000] time: 30320.8081, dice0 = 0.02307, cross0 = 0.0188, kl0 = 0.0043, exclusion0 = 0.0312,     dice1 = 0.05199, cross1 = 0.0483, kl1 = 0.0095, exclusion1 = 0.0588
1.200028
Epoch: [ 52] [850/4000] time: 30328.2408, net0_loss = 0.15433, net0_acc = 0.9749, net0_test_acc = 0.9156,     net1_loss = 0.14097, net1_acc = 0.9781, net1_test_acc = 0.9734
Epoch: [ 52] [850/4000] time: 30328.2408, dice0 = 0.05814, cross0 = 0.0668, kl0 = 0.0073, exclusion0 = 0.0515,     dice1 = 0.05420, cross1 = 0.0537, kl1 = 0.0079, exclusion1 = 0.0583
1.1691107
Epoch: [ 52] [900/4000] time: 30335.6481, net0_loss = 0.14952, net0_acc = 0.9779, net0_test_acc = 0.9775,     net1_loss = 0.15791, net1_acc = 0.9729, net1_test_acc = 0.9533
Epoch: [ 52] [900/4000] time: 30335.6481, dice0 = 0.05544, cross0 = 0.0524, kl0 = 0.0124, exclusion0 = 0.0709,     dice1 = 0.05613, cross1 = 0.0880, kl1 = 0.0017, exclusion1 = 0.0259
1.1674072
Epoch: [ 52] [950/4000] time: 30343.0705, net0_loss = 0.20892, net0_acc = 0.9674, net0_test_acc = 0.7690,     net1_loss = 0.44114, net1_acc = 0.9282, net1_test_acc = 0.9186
Epoch: [ 52] [950/4000] time: 30343.0706, dice0 = 0.07200, cross0 = 0.0923, kl0 = 0.0139, exclusion0 = 0.0753,     dice1 = 0.13987, cross1 = 0.2500, kl1 = 0.0173, exclusion1 = 0.0852
1.1713305
Epoch: [ 52] [1000/4000] time: 30350.4431, net0_loss = 0.14088, net0_acc = 0.9747, net0_test_acc = 0.9485,     net1_loss = 0.16614, net1_acc = 0.9731, net1_test_acc = 0.9363
Epoch: [ 52] [1000/4000] time: 30350.4432, dice0 = 0.05527, cross0 = 0.0641, kl0 = 0.0039, exclusion0 = 0.0391,     dice1 = 0.06093, cross1 = 0.0773, kl1 = 0.0068, exclusion1 = 0.0490
1.1048664
Epoch: [ 52] [1050/4000] time: 30357.7738, net0_loss = 0.08338, net0_acc = 0.9869, net0_test_acc = 0.9323,     net1_loss = 0.04671, net1_acc = 0.9937, net1_test_acc = 0.9575
Epoch: [ 52] [1050/4000] time: 30357.7738, dice0 = 0.03328, cross0 = 0.0339, kl0 = 0.0018, exclusion0 = 0.0306,     dice1 = 0.01728, cross1 = 0.0148, kl1 = 0.0047, exclusion1 = 0.0246
1.2395421
Epoch: [ 52] [1100/4000] time: 30365.1478, net0_loss = 0.16605, net0_acc = 0.9708, net0_test_acc = 0.9347,     net1_loss = 0.18104, net1_acc = 0.9705, net1_test_acc = 0.9241
Epoch: [ 52] [1100/4000] time: 30365.1478, dice0 = 0.06281, cross0 = 0.0738, kl0 = 0.0061, exclusion0 = 0.0528,     dice1 = 0.07018, cross1 = 0.0779, kl1 = 0.0068, exclusion1 = 0.0591
1.148216
Epoch: [ 52] [1150/4000] time: 30372.6753, net0_loss = 0.13073, net0_acc = 0.9763, net0_test_acc = 0.8219,     net1_loss = 0.08908, net1_acc = 0.9867, net1_test_acc = 0.9430
Epoch: [ 52] [1150/4000] time: 30372.6753, dice0 = 0.05037, cross0 = 0.0587, kl0 = 0.0051, exclusion0 = 0.0382,     dice1 = 0.03628, cross1 = 0.0327, kl1 = 0.0026, exclusion1 = 0.0375
1.1342121
Epoch: [ 52] [1200/4000] time: 30380.0861, net0_loss = 0.20631, net0_acc = 0.9684, net0_test_acc = 0.8954,     net1_loss = 0.09581, net1_acc = 0.9848, net1_test_acc = 0.9203
Epoch: [ 52] [1200/4000] time: 30380.0862, dice0 = 0.06674, cross0 = 0.1063, kl0 = 0.0119, exclusion0 = 0.0546,     dice1 = 0.03845, cross1 = 0.0335, kl1 = 0.0063, exclusion1 = 0.0415
1.2824023
Epoch: [ 52] [1250/4000] time: 30387.5111, net0_loss = 0.18612, net0_acc = 0.9699, net0_test_acc = 0.9522,     net1_loss = 0.10989, net1_acc = 0.9845, net1_test_acc = 0.9421
Epoch: [ 52] [1250/4000] time: 30387.5111, dice0 = 0.06023, cross0 = 0.1002, kl0 = 0.0114, exclusion0 = 0.0400,     dice1 = 0.04203, cross1 = 0.0409, kl1 = 0.0060, exclusion1 = 0.0479
1.2533655
Epoch: [ 52] [1300/4000] time: 30394.9149, net0_loss = 0.12932, net0_acc = 0.9815, net0_test_acc = 0.8308,     net1_loss = 0.15189, net1_acc = 0.9764, net1_test_acc = 0.9278
Epoch: [ 52] [1300/4000] time: 30394.9149, dice0 = 0.05094, cross0 = 0.0473, kl0 = 0.0055, exclusion0 = 0.0566,     dice1 = 0.05481, cross1 = 0.0585, kl1 = 0.0149, exclusion1 = 0.0623
1.2397083
Epoch: [ 52] [1350/4000] time: 30402.3058, net0_loss = 0.13675, net0_acc = 0.9788, net0_test_acc = 0.9660,     net1_loss = 0.11811, net1_acc = 0.9841, net1_test_acc = 0.9600
Epoch: [ 52] [1350/4000] time: 30402.3058, dice0 = 0.05260, cross0 = 0.0562, kl0 = 0.0071, exclusion0 = 0.0489,     dice1 = 0.03980, cross1 = 0.0435, kl1 = 0.0150, exclusion1 = 0.0546
1.331995
Epoch: [ 52] [1400/4000] time: 30409.6908, net0_loss = 0.15101, net0_acc = 0.9758, net0_test_acc = 0.9610,     net1_loss = 0.15047, net1_acc = 0.9775, net1_test_acc = 0.9907
Epoch: [ 52] [1400/4000] time: 30409.6909, dice0 = 0.05784, cross0 = 0.0642, kl0 = 0.0050, exclusion0 = 0.0529,     dice1 = 0.05897, cross1 = 0.0565, kl1 = 0.0090, exclusion1 = 0.0610
1.1307154
Epoch: [ 52] [1450/4000] time: 30417.1186, net0_loss = 0.03497, net0_acc = 0.9961, net0_test_acc = 0.9614,     net1_loss = 0.06069, net1_acc = 0.9910, net1_test_acc = 0.9254
Epoch: [ 52] [1450/4000] time: 30417.1187, dice0 = 0.01289, cross0 = 0.0122, kl0 = 0.0020, exclusion0 = 0.0177,     dice1 = 0.02430, cross1 = 0.0230, kl1 = 0.0015, exclusion1 = 0.0253
1.1801333
Epoch: [ 52] [1500/4000] time: 30424.4850, net0_loss = 0.10440, net0_acc = 0.9829, net0_test_acc = 0.8665,     net1_loss = 0.14119, net1_acc = 0.9782, net1_test_acc = 0.9105
Epoch: [ 52] [1500/4000] time: 30424.4851, dice0 = 0.04104, cross0 = 0.0375, kl0 = 0.0064, exclusion0 = 0.0454,     dice1 = 0.05380, cross1 = 0.0485, kl1 = 0.0127, exclusion1 = 0.0651
1.2251909
Epoch: [ 52] [1550/4000] time: 30431.8274, net0_loss = 0.10063, net0_acc = 0.9856, net0_test_acc = 0.8192,     net1_loss = 0.12943, net1_acc = 0.9765, net1_test_acc = 0.9659
Epoch: [ 52] [1550/4000] time: 30431.8275, dice0 = 0.03689, cross0 = 0.0368, kl0 = 0.0082, exclusion0 = 0.0457,     dice1 = 0.05035, cross1 = 0.0615, kl1 = 0.0025, exclusion1 = 0.0327
1.3732549
Epoch: [ 52] [1600/4000] time: 30439.3038, net0_loss = 0.16089, net0_acc = 0.9783, net0_test_acc = 0.9831,     net1_loss = 0.16311, net1_acc = 0.9761, net1_test_acc = 0.8835
Epoch: [ 52] [1600/4000] time: 30439.3039, dice0 = 0.05232, cross0 = 0.0563, kl0 = 0.0254, exclusion0 = 0.0791,     dice1 = 0.06059, cross1 = 0.0647, kl1 = 0.0099, exclusion1 = 0.0658
1.1655364
Epoch: [ 52] [1650/4000] time: 30446.7082, net0_loss = 0.10842, net0_acc = 0.9849, net0_test_acc = 0.9664,     net1_loss = 0.16808, net1_acc = 0.9750, net1_test_acc = 0.9645
Epoch: [ 52] [1650/4000] time: 30446.7082, dice0 = 0.04073, cross0 = 0.0408, kl0 = 0.0055, exclusion0 = 0.0484,     dice1 = 0.06362, cross1 = 0.0606, kl1 = 0.0116, exclusion1 = 0.0761
1.2414663
Epoch: [ 52] [1700/4000] time: 30454.0111, net0_loss = 0.05818, net0_acc = 0.9924, net0_test_acc = 0.8979,     net1_loss = 0.21016, net1_acc = 0.9651, net1_test_acc = 0.9220
Epoch: [ 52] [1700/4000] time: 30454.0112, dice0 = 0.02225, cross0 = 0.0193, kl0 = 0.0042, exclusion0 = 0.0291,     dice1 = 0.07304, cross1 = 0.1075, kl1 = 0.0089, exclusion1 = 0.0503
1.2124093
Epoch: [ 52] [1750/4000] time: 30461.5018, net0_loss = 0.11806, net0_acc = 0.9819, net0_test_acc = 0.9334,     net1_loss = 0.26696, net1_acc = 0.9552, net1_test_acc = 0.9060
Epoch: [ 52] [1750/4000] time: 30461.5019, dice0 = 0.04330, cross0 = 0.0428, kl0 = 0.0113, exclusion0 = 0.0527,     dice1 = 0.09602, cross1 = 0.1280, kl1 = 0.0094, exclusion1 = 0.0766
1.1903324
Epoch: [ 52] [1800/4000] time: 30468.9272, net0_loss = 0.28056, net0_acc = 0.9528, net0_test_acc = 0.9684,     net1_loss = 0.33074, net1_acc = 0.9441, net1_test_acc = 0.9475
Epoch: [ 52] [1800/4000] time: 30468.9273, dice0 = 0.09953, cross0 = 0.1276, kl0 = 0.0186, exclusion0 = 0.0883,     dice1 = 0.11344, cross1 = 0.1743, kl1 = 0.0112, exclusion1 = 0.0748
1.2189624
Epoch: [ 52] [1850/4000] time: 30476.2858, net0_loss = 0.19483, net0_acc = 0.9706, net0_test_acc = 0.9067,     net1_loss = 0.22941, net1_acc = 0.9626, net1_test_acc = 0.9451
Epoch: [ 52] [1850/4000] time: 30476.2859, dice0 = 0.07028, cross0 = 0.0817, kl0 = 0.0145, exclusion0 = 0.0711,     dice1 = 0.09163, cross1 = 0.0867, kl1 = 0.0068, exclusion1 = 0.0955
1.2128105
Epoch: [ 52] [1900/4000] time: 30483.7059, net0_loss = 0.09610, net0_acc = 0.9854, net0_test_acc = 0.9430,     net1_loss = 0.07939, net1_acc = 0.9883, net1_test_acc = 0.7859
Epoch: [ 52] [1900/4000] time: 30483.7060, dice0 = 0.03383, cross0 = 0.0367, kl0 = 0.0094, exclusion0 = 0.0417,     dice1 = 0.03212, cross1 = 0.0283, kl1 = 0.0027, exclusion1 = 0.0352
1.1870662
Epoch: [ 52] [1950/4000] time: 30491.1764, net0_loss = 0.17533, net0_acc = 0.9716, net0_test_acc = 0.8683,     net1_loss = 0.28221, net1_acc = 0.9554, net1_test_acc = 0.9102
Epoch: [ 52] [1950/4000] time: 30491.1765, dice0 = 0.06683, cross0 = 0.0753, kl0 = 0.0056, exclusion0 = 0.0609,     dice1 = 0.10533, cross1 = 0.1160, kl1 = 0.0143, exclusion1 = 0.1075
1.2842959
Epoch: [ 52] [2000/4000] time: 30498.5604, net0_loss = 0.09162, net0_acc = 0.9844, net0_test_acc = 0.9257,     net1_loss = 0.07947, net1_acc = 0.9877, net1_test_acc = 0.7957
Epoch: [ 52] [2000/4000] time: 30498.5605, dice0 = 0.03587, cross0 = 0.0372, kl0 = 0.0037, exclusion0 = 0.0334,     dice1 = 0.03108, cross1 = 0.0299, kl1 = 0.0039, exclusion1 = 0.0332
1.3207515
Epoch: [ 52] [2050/4000] time: 30506.0036, net0_loss = 0.40260, net0_acc = 0.9386, net0_test_acc = 0.9346,     net1_loss = 0.16032, net1_acc = 0.9737, net1_test_acc = 0.9199
Epoch: [ 52] [2050/4000] time: 30506.0036, dice0 = 0.13753, cross0 = 0.1755, kl0 = 0.0318, exclusion0 = 0.1472,     dice1 = 0.06317, cross1 = 0.0623, kl1 = 0.0106, exclusion1 = 0.0591
1.2179551
Epoch: [ 52] [2100/4000] time: 30513.3588, net0_loss = 0.10655, net0_acc = 0.9819, net0_test_acc = 0.9219,     net1_loss = 0.09995, net1_acc = 0.9833, net1_test_acc = 0.9442
Epoch: [ 52] [2100/4000] time: 30513.3589, dice0 = 0.04225, cross0 = 0.0421, kl0 = 0.0038, exclusion0 = 0.0407,     dice1 = 0.04001, cross1 = 0.0401, kl1 = 0.0032, exclusion1 = 0.0364
1.2351289
Epoch: [ 52] [2150/4000] time: 30520.8204, net0_loss = 0.20548, net0_acc = 0.9667, net0_test_acc = 0.9729,     net1_loss = 0.31830, net1_acc = 0.9434, net1_test_acc = 0.9327
Epoch: [ 52] [2150/4000] time: 30520.8204, dice0 = 0.07322, cross0 = 0.1021, kl0 = 0.0063, exclusion0 = 0.0541,     dice1 = 0.11320, cross1 = 0.1409, kl1 = 0.0257, exclusion1 = 0.1027
1.1509507
Epoch: [ 52] [2200/4000] time: 30528.2275, net0_loss = 0.09361, net0_acc = 0.9883, net0_test_acc = 0.9702,     net1_loss = 0.10319, net1_acc = 0.9822, net1_test_acc = 0.8658
Epoch: [ 52] [2200/4000] time: 30528.2275, dice0 = 0.03583, cross0 = 0.0290, kl0 = 0.0058, exclusion0 = 0.0517,     dice1 = 0.03944, cross1 = 0.0488, kl1 = 0.0030, exclusion1 = 0.0268
1.105006
Epoch: [ 52] [2250/4000] time: 30535.6394, net0_loss = 0.08832, net0_acc = 0.9870, net0_test_acc = 0.9513,     net1_loss = 0.06541, net1_acc = 0.9901, net1_test_acc = 0.9811
Epoch: [ 52] [2250/4000] time: 30535.6395, dice0 = 0.03525, cross0 = 0.0332, kl0 = 0.0028, exclusion0 = 0.0370,     dice1 = 0.02631, cross1 = 0.0248, kl1 = 0.0018, exclusion1 = 0.0267
1.1411964
Epoch: [ 52] [2300/4000] time: 30542.9883, net0_loss = 0.20474, net0_acc = 0.9630, net0_test_acc = 0.8736,     net1_loss = 0.05876, net1_acc = 0.9915, net1_test_acc = 0.8529
Epoch: [ 52] [2300/4000] time: 30542.9883, dice0 = 0.07725, cross0 = 0.1003, kl0 = 0.0047, exclusion0 = 0.0497,     dice1 = 0.02308, cross1 = 0.0215, kl1 = 0.0029, exclusion1 = 0.0254
1.1203718
Epoch: [ 52] [2350/4000] time: 30550.4271, net0_loss = 0.14208, net0_acc = 0.9782, net0_test_acc = 0.9263,     net1_loss = 0.19687, net1_acc = 0.9710, net1_test_acc = 0.9160
Epoch: [ 52] [2350/4000] time: 30550.4272, dice0 = 0.05741, cross0 = 0.0516, kl0 = 0.0051, exclusion0 = 0.0610,     dice1 = 0.06699, cross1 = 0.0936, kl1 = 0.0101, exclusion1 = 0.0625
1.1466738
Epoch: [ 52] [2400/4000] time: 30557.8308, net0_loss = 0.22286, net0_acc = 0.9610, net0_test_acc = 0.9585,     net1_loss = 0.07454, net1_acc = 0.9896, net1_test_acc = 0.9563
Epoch: [ 52] [2400/4000] time: 30557.8309, dice0 = 0.07941, cross0 = 0.1125, kl0 = 0.0092, exclusion0 = 0.0528,     dice1 = 0.02927, cross1 = 0.0249, kl1 = 0.0053, exclusion1 = 0.0355
1.1267081
Epoch: [ 52] [2450/4000] time: 30565.2611, net0_loss = 0.20455, net0_acc = 0.9664, net0_test_acc = 0.9283,     net1_loss = 0.23789, net1_acc = 0.9617, net1_test_acc = 0.9897
Epoch: [ 52] [2450/4000] time: 30565.2612, dice0 = 0.08023, cross0 = 0.0763, kl0 = 0.0107, exclusion0 = 0.0853,     dice1 = 0.07973, cross1 = 0.1119, kl1 = 0.0175, exclusion1 = 0.0751
1.0690532
Epoch: [ 52] [2500/4000] time: 30572.6305, net0_loss = 0.11099, net0_acc = 0.9827, net0_test_acc = 0.9062,     net1_loss = 0.22745, net1_acc = 0.9630, net1_test_acc = 0.8003
Epoch: [ 52] [2500/4000] time: 30572.6306, dice0 = 0.04198, cross0 = 0.0452, kl0 = 0.0055, exclusion0 = 0.0421,     dice1 = 0.07884, cross1 = 0.0970, kl1 = 0.0212, exclusion1 = 0.0820
1.1356637
Epoch: [ 52] [2550/4000] time: 30580.0554, net0_loss = 0.11172, net0_acc = 0.9826, net0_test_acc = 0.8801,     net1_loss = 0.24555, net1_acc = 0.9564, net1_test_acc = 0.9853
Epoch: [ 52] [2550/4000] time: 30580.0554, dice0 = 0.04488, cross0 = 0.0406, kl0 = 0.0051, exclusion0 = 0.0473,     dice1 = 0.09126, cross1 = 0.1150, kl1 = 0.0100, exclusion1 = 0.0687
1.1966057
Epoch: [ 52] [2600/4000] time: 30587.4854, net0_loss = 0.07064, net0_acc = 0.9889, net0_test_acc = 0.9687,     net1_loss = 0.16486, net1_acc = 0.9725, net1_test_acc = 0.9162
Epoch: [ 52] [2600/4000] time: 30587.4855, dice0 = 0.02749, cross0 = 0.0271, kl0 = 0.0030, exclusion0 = 0.0292,     dice1 = 0.06332, cross1 = 0.0736, kl1 = 0.0054, exclusion1 = 0.0504
1.1421388
Epoch: [ 52] [2650/4000] time: 30594.8675, net0_loss = 0.13050, net0_acc = 0.9778, net0_test_acc = 0.8216,     net1_loss = 0.38062, net1_acc = 0.9338, net1_test_acc = 0.9065
Epoch: [ 52] [2650/4000] time: 30594.8676, dice0 = 0.04865, cross0 = 0.0629, kl0 = 0.0034, exclusion0 = 0.0344,     dice1 = 0.13532, cross1 = 0.1846, kl1 = 0.0154, exclusion1 = 0.1060
1.1596634
Epoch: [ 52] [2700/4000] time: 30602.3030, net0_loss = 0.04471, net0_acc = 0.9945, net0_test_acc = 0.8990,     net1_loss = 0.26756, net1_acc = 0.9566, net1_test_acc = 0.8077
Epoch: [ 52] [2700/4000] time: 30602.3030, dice0 = 0.01508, cross0 = 0.0210, kl0 = 0.0015, exclusion0 = 0.0158,     dice1 = 0.08980, cross1 = 0.1506, kl1 = 0.0051, exclusion1 = 0.0492
1.0757998
Epoch: [ 52] [2750/4000] time: 30609.6841, net0_loss = 0.08951, net0_acc = 0.9881, net0_test_acc = 0.9050,     net1_loss = 0.17350, net1_acc = 0.9766, net1_test_acc = 0.9344
Epoch: [ 52] [2750/4000] time: 30609.6841, dice0 = 0.03505, cross0 = 0.0297, kl0 = 0.0063, exclusion0 = 0.0431,     dice1 = 0.06127, cross1 = 0.0621, kl1 = 0.0199, exclusion1 = 0.0803
1.209485
Epoch: [ 52] [2800/4000] time: 30617.0922, net0_loss = 0.11948, net0_acc = 0.9794, net0_test_acc = 0.9311,     net1_loss = 0.10777, net1_acc = 0.9830, net1_test_acc = 0.9254
Epoch: [ 52] [2800/4000] time: 30617.0923, dice0 = 0.04824, cross0 = 0.0478, kl0 = 0.0033, exclusion0 = 0.0437,     dice1 = 0.04102, cross1 = 0.0397, kl1 = 0.0098, exclusion1 = 0.0443
1.236339
Epoch: [ 52] [2850/4000] time: 30624.4749, net0_loss = 0.21767, net0_acc = 0.9628, net0_test_acc = 0.8975,     net1_loss = 0.04592, net1_acc = 0.9932, net1_test_acc = 0.9284
Epoch: [ 52] [2850/4000] time: 30624.4749, dice0 = 0.07983, cross0 = 0.0962, kl0 = 0.0115, exclusion0 = 0.0717,     dice1 = 0.01935, cross1 = 0.0154, kl1 = 0.0013, exclusion1 = 0.0209
1.1718366
Epoch: [ 52] [2900/4000] time: 30631.9093, net0_loss = 0.09279, net0_acc = 0.9862, net0_test_acc = 0.9425,     net1_loss = 0.21964, net1_acc = 0.9652, net1_test_acc = 0.9555
Epoch: [ 52] [2900/4000] time: 30631.9094, dice0 = 0.03598, cross0 = 0.0371, kl0 = 0.0034, exclusion0 = 0.0360,     dice1 = 0.07814, cross1 = 0.0883, kl1 = 0.0172, exclusion1 = 0.0892
1.1730502
Epoch: [ 52] [2950/4000] time: 30639.3296, net0_loss = 0.14710, net0_acc = 0.9758, net0_test_acc = 0.9825,     net1_loss = 0.63296, net1_acc = 0.9024, net1_test_acc = 0.9892
Epoch: [ 52] [2950/4000] time: 30639.3296, dice0 = 0.05706, cross0 = 0.0565, kl0 = 0.0087, exclusion0 = 0.0585,     dice1 = 0.18869, cross1 = 0.3617, kl1 = 0.0301, exclusion1 = 0.1349
1.1770487
Epoch: [ 52] [3000/4000] time: 30646.5165, net0_loss = 0.19685, net0_acc = 0.9684, net0_test_acc = 0.9644,     net1_loss = 0.16302, net1_acc = 0.9756, net1_test_acc = 0.9590
Epoch: [ 52] [3000/4000] time: 30646.5166, dice0 = 0.07286, cross0 = 0.0943, kl0 = 0.0064, exclusion0 = 0.0530,     dice1 = 0.06055, cross1 = 0.0609, kl1 = 0.0128, exclusion1 = 0.0703
1.1776614
Epoch: [ 52] [3050/4000] time: 30653.6933, net0_loss = 0.07423, net0_acc = 0.9879, net0_test_acc = 0.9763,     net1_loss = 0.15062, net1_acc = 0.9767, net1_test_acc = 0.9169
Epoch: [ 52] [3050/4000] time: 30653.6933, dice0 = 0.02886, cross0 = 0.0299, kl0 = 0.0033, exclusion0 = 0.0277,     dice1 = 0.06130, cross1 = 0.0550, kl1 = 0.0052, exclusion1 = 0.0634
1.1466882
Epoch: [ 52] [3100/4000] time: 30661.3739, net0_loss = 0.13989, net0_acc = 0.9802, net0_test_acc = 0.9112,     net1_loss = 0.14814, net1_acc = 0.9758, net1_test_acc = 0.9893
Epoch: [ 52] [3100/4000] time: 30661.3739, dice0 = 0.04539, cross0 = 0.0795, kl0 = 0.0031, exclusion0 = 0.0268,     dice1 = 0.05797, cross1 = 0.0624, kl1 = 0.0041, exclusion1 = 0.0514
1.0815632
Epoch: [ 52] [3150/4000] time: 30668.9178, net0_loss = 0.21972, net0_acc = 0.9636, net0_test_acc = 0.9349,     net1_loss = 0.16201, net1_acc = 0.9715, net1_test_acc = 0.9892
Epoch: [ 52] [3150/4000] time: 30668.9179, dice0 = 0.07645, cross0 = 0.1072, kl0 = 0.0117, exclusion0 = 0.0604,     dice1 = 0.05912, cross1 = 0.0789, kl1 = 0.0060, exclusion1 = 0.0419
1.1643754
Epoch: [ 52] [3200/4000] time: 30676.3430, net0_loss = 0.08402, net0_acc = 0.9879, net0_test_acc = 0.9111,     net1_loss = 0.16504, net1_acc = 0.9744, net1_test_acc = 0.9211
Epoch: [ 52] [3200/4000] time: 30676.3431, dice0 = 0.03373, cross0 = 0.0273, kl0 = 0.0053, exclusion0 = 0.0408,     dice1 = 0.05996, cross1 = 0.0682, kl1 = 0.0114, exclusion1 = 0.0623
1.193011
Epoch: [ 52] [3250/4000] time: 30683.6841, net0_loss = 0.29180, net0_acc = 0.9553, net0_test_acc = 0.9624,     net1_loss = 0.09341, net1_acc = 0.9856, net1_test_acc = 0.9610
Epoch: [ 52] [3250/4000] time: 30683.6842, dice0 = 0.10332, cross0 = 0.1354, kl0 = 0.0131, exclusion0 = 0.0931,     dice1 = 0.03359, cross1 = 0.0382, kl1 = 0.0066, exclusion1 = 0.0367
1.1149553
Epoch: [ 52] [3300/4000] time: 30691.1552, net0_loss = 0.11308, net0_acc = 0.9806, net0_test_acc = 0.7555,     net1_loss = 0.14363, net1_acc = 0.9758, net1_test_acc = 0.8916
Epoch: [ 52] [3300/4000] time: 30691.1552, dice0 = 0.04369, cross0 = 0.0470, kl0 = 0.0058, exclusion0 = 0.0389,     dice1 = 0.05613, cross1 = 0.0587, kl1 = 0.0055, exclusion1 = 0.0521
1.1906148
Epoch: [ 52] [3350/4000] time: 30698.5290, net0_loss = 0.22413, net0_acc = 0.9631, net0_test_acc = 0.8424,     net1_loss = 0.12523, net1_acc = 0.9828, net1_test_acc = 0.8433
Epoch: [ 52] [3350/4000] time: 30698.5291, dice0 = 0.08035, cross0 = 0.1035, kl0 = 0.0115, exclusion0 = 0.0691,     dice1 = 0.04918, cross1 = 0.0428, kl1 = 0.0068, exclusion1 = 0.0598
1.3039724
Epoch: [ 52] [3400/4000] time: 30705.9892, net0_loss = 0.10467, net0_acc = 0.9851, net0_test_acc = 0.9831,     net1_loss = 0.27811, net1_acc = 0.9553, net1_test_acc = 0.9721
Epoch: [ 52] [3400/4000] time: 30705.9893, dice0 = 0.04063, cross0 = 0.0398, kl0 = 0.0047, exclusion0 = 0.0439,     dice1 = 0.09909, cross1 = 0.1212, kl1 = 0.0172, exclusion1 = 0.0984
1.1630461
Epoch: [ 52] [3450/4000] time: 30713.3768, net0_loss = 0.38535, net0_acc = 0.9327, net0_test_acc = 0.9315,     net1_loss = 0.21761, net1_acc = 0.9654, net1_test_acc = 0.9473
Epoch: [ 52] [3450/4000] time: 30713.3768, dice0 = 0.13619, cross0 = 0.1930, kl0 = 0.0141, exclusion0 = 0.0983,     dice1 = 0.07967, cross1 = 0.0897, kl1 = 0.0144, exclusion1 = 0.0822
1.1261611
Epoch: [ 52] [3500/4000] time: 30720.8036, net0_loss = 0.07121, net0_acc = 0.9909, net0_test_acc = 0.9568,     net1_loss = 0.09016, net1_acc = 0.9875, net1_test_acc = 0.9632
Epoch: [ 52] [3500/4000] time: 30720.8037, dice0 = 0.02434, cross0 = 0.0238, kl0 = 0.0077, exclusion0 = 0.0384,     dice1 = 0.03048, cross1 = 0.0440, kl1 = 0.0037, exclusion1 = 0.0276
1.2835202
Epoch: [ 52] [3550/4000] time: 30728.1772, net0_loss = 0.18993, net0_acc = 0.9685, net0_test_acc = 0.8950,     net1_loss = 0.17327, net1_acc = 0.9717, net1_test_acc = 0.9719
Epoch: [ 52] [3550/4000] time: 30728.1773, dice0 = 0.07031, cross0 = 0.0917, kl0 = 0.0052, exclusion0 = 0.0507,     dice1 = 0.06205, cross1 = 0.0751, kl1 = 0.0114, exclusion1 = 0.0608
1.1695024
Epoch: [ 52] [3600/4000] time: 30735.5130, net0_loss = 0.19645, net0_acc = 0.9701, net0_test_acc = 0.9482,     net1_loss = 0.03893, net1_acc = 0.9953, net1_test_acc = 0.9331
Epoch: [ 52] [3600/4000] time: 30735.5131, dice0 = 0.07031, cross0 = 0.0747, kl0 = 0.0176, exclusion0 = 0.0853,     dice1 = 0.01567, cross1 = 0.0147, kl1 = 0.0015, exclusion1 = 0.0156
1.258171
Epoch: [ 52] [3650/4000] time: 30742.8938, net0_loss = 0.06025, net0_acc = 0.9945, net0_test_acc = 0.9411,     net1_loss = 0.12852, net1_acc = 0.9817, net1_test_acc = 0.9263
Epoch: [ 52] [3650/4000] time: 30742.8939, dice0 = 0.02439, cross0 = 0.0173, kl0 = 0.0047, exclusion0 = 0.0325,     dice1 = 0.04608, cross1 = 0.0589, kl1 = 0.0065, exclusion1 = 0.0405
1.146351
Epoch: [ 52] [3700/4000] time: 30750.2992, net0_loss = 0.21750, net0_acc = 0.9617, net0_test_acc = 0.9701,     net1_loss = 0.12846, net1_acc = 0.9781, net1_test_acc = 0.9551
Epoch: [ 52] [3700/4000] time: 30750.2992, dice0 = 0.08101, cross0 = 0.0984, kl0 = 0.0119, exclusion0 = 0.0642,     dice1 = 0.04774, cross1 = 0.0646, kl1 = 0.0030, exclusion1 = 0.0293
1.1892409
Epoch: [ 52] [3750/4000] time: 30757.6985, net0_loss = 0.25296, net0_acc = 0.9599, net0_test_acc = 0.7622,     net1_loss = 0.13900, net1_acc = 0.9762, net1_test_acc = 0.9425
Epoch: [ 52] [3750/4000] time: 30757.6985, dice0 = 0.08970, cross0 = 0.1089, kl0 = 0.0219, exclusion0 = 0.0868,     dice1 = 0.05544, cross1 = 0.0565, kl1 = 0.0044, exclusion1 = 0.0497
1.1568527
Epoch: [ 52] [3800/4000] time: 30765.1287, net0_loss = 0.10037, net0_acc = 0.9835, net0_test_acc = 0.8886,     net1_loss = 0.13843, net1_acc = 0.9769, net1_test_acc = 0.8178
Epoch: [ 52] [3800/4000] time: 30765.1287, dice0 = 0.03685, cross0 = 0.0452, kl0 = 0.0051, exclusion0 = 0.0316,     dice1 = 0.05253, cross1 = 0.0623, kl1 = 0.0047, exclusion1 = 0.0426
1.1809589
Epoch: [ 52] [3850/4000] time: 30772.5110, net0_loss = 0.21219, net0_acc = 0.9656, net0_test_acc = 0.8956,     net1_loss = 0.11833, net1_acc = 0.9820, net1_test_acc = 0.9731
Epoch: [ 52] [3850/4000] time: 30772.5111, dice0 = 0.08486, cross0 = 0.0802, kl0 = 0.0088, exclusion0 = 0.0855,     dice1 = 0.04165, cross1 = 0.0557, kl1 = 0.0077, exclusion1 = 0.0343
1.2091678
Epoch: [ 52] [3900/4000] time: 30779.8900, net0_loss = 0.10463, net0_acc = 0.9841, net0_test_acc = 0.9372,     net1_loss = 0.13363, net1_acc = 0.9807, net1_test_acc = 0.9777
Epoch: [ 52] [3900/4000] time: 30779.8901, dice0 = 0.04076, cross0 = 0.0359, kl0 = 0.0068, exclusion0 = 0.0492,     dice1 = 0.04957, cross1 = 0.0497, kl1 = 0.0094, exclusion1 = 0.0593
1.1254405
Epoch: [ 52] [3950/4000] time: 30787.2601, net0_loss = 0.08254, net0_acc = 0.9873, net0_test_acc = 0.9124,     net1_loss = 0.20736, net1_acc = 0.9651, net1_test_acc = 0.9315
Epoch: [ 52] [3950/4000] time: 30787.2602, dice0 = 0.03120, cross0 = 0.0366, kl0 = 0.0023, exclusion0 = 0.0271,     dice1 = 0.07818, cross1 = 0.0907, kl1 = 0.0078, exclusion1 = 0.0691
1.2175889
Epoch: [ 53] [  0/4000] time: 30794.6701, net0_loss = 0.06446, net0_acc = 0.9890, net0_test_acc = 0.9562,     net1_loss = 0.20443, net1_acc = 0.9678, net1_test_acc = 0.8968
Epoch: [ 53] [  0/4000] time: 30794.6701, dice0 = 0.02385, cross0 = 0.0298, kl0 = 0.0025, exclusion0 = 0.0191,     dice1 = 0.07704, cross1 = 0.0817, kl1 = 0.0143, exclusion1 = 0.0772
1.1398467
Epoch: [ 53] [ 50/4000] time: 30802.0874, net0_loss = 0.15346, net0_acc = 0.9761, net0_test_acc = 0.7470,     net1_loss = 0.22197, net1_acc = 0.9622, net1_test_acc = 0.8250
Epoch: [ 53] [ 50/4000] time: 30802.0875, dice0 = 0.05697, cross0 = 0.0634, kl0 = 0.0089, exclusion0 = 0.0573,     dice1 = 0.08170, cross1 = 0.1062, kl1 = 0.0080, exclusion1 = 0.0603
1.0934725
Epoch: [ 53] [100/4000] time: 30809.4752, net0_loss = 0.12552, net0_acc = 0.9791, net0_test_acc = 0.8172,     net1_loss = 0.06195, net1_acc = 0.9910, net1_test_acc = 0.8271
Epoch: [ 53] [100/4000] time: 30809.4752, dice0 = 0.04999, cross0 = 0.0480, kl0 = 0.0056, exclusion0 = 0.0494,     dice1 = 0.02350, cross1 = 0.0222, kl1 = 0.0052, exclusion1 = 0.0274
1.1817486
Epoch: [ 53] [150/4000] time: 30816.8516, net0_loss = 0.26224, net0_acc = 0.9581, net0_test_acc = 0.9758,     net1_loss = 0.08444, net1_acc = 0.9854, net1_test_acc = 0.9328
Epoch: [ 53] [150/4000] time: 30816.8517, dice0 = 0.08609, cross0 = 0.1345, kl0 = 0.0144, exclusion0 = 0.0689,     dice1 = 0.03319, cross1 = 0.0375, kl1 = 0.0018, exclusion1 = 0.0258
1.0901769
Epoch: [ 53] [200/4000] time: 30824.3117, net0_loss = 0.16630, net0_acc = 0.9766, net0_test_acc = 0.9900,     net1_loss = 0.43458, net1_acc = 0.9295, net1_test_acc = 0.9460
Epoch: [ 53] [200/4000] time: 30824.3118, dice0 = 0.06683, cross0 = 0.0561, kl0 = 0.0084, exclusion0 = 0.0783,     dice1 = 0.14244, cross1 = 0.2323, kl1 = 0.0168, exclusion1 = 0.1028
1.0995427
Epoch: [ 53] [250/4000] time: 30831.7330, net0_loss = 0.03958, net0_acc = 0.9939, net0_test_acc = 0.9470,     net1_loss = 0.18414, net1_acc = 0.9661, net1_test_acc = 0.8131
Epoch: [ 53] [250/4000] time: 30831.7331, dice0 = 0.01632, cross0 = 0.0144, kl0 = 0.0009, exclusion0 = 0.0169,     dice1 = 0.06992, cross1 = 0.0901, kl1 = 0.0037, exclusion1 = 0.0445
1.1167744
Epoch: [ 53] [300/4000] time: 30839.1262, net0_loss = 0.15245, net0_acc = 0.9747, net0_test_acc = 0.9794,     net1_loss = 0.27121, net1_acc = 0.9538, net1_test_acc = 0.8911
Epoch: [ 53] [300/4000] time: 30839.1263, dice0 = 0.05817, cross0 = 0.0692, kl0 = 0.0046, exclusion0 = 0.0455,     dice1 = 0.09342, cross1 = 0.1475, kl1 = 0.0067, exclusion1 = 0.0539
1.1748991
Epoch: [ 53] [350/4000] time: 30846.4616, net0_loss = 0.18046, net0_acc = 0.9698, net0_test_acc = 0.9420,     net1_loss = 0.36338, net1_acc = 0.9369, net1_test_acc = 0.9674
Epoch: [ 53] [350/4000] time: 30846.4617, dice0 = 0.07243, cross0 = 0.0740, kl0 = 0.0046, exclusion0 = 0.0635,     dice1 = 0.13172, cross1 = 0.1648, kl1 = 0.0176, exclusion1 = 0.1162
1.197958
Epoch: [ 53] [400/4000] time: 30853.9590, net0_loss = 0.11887, net0_acc = 0.9825, net0_test_acc = 0.9419,     net1_loss = 0.18434, net1_acc = 0.9702, net1_test_acc = 0.9797
Epoch: [ 53] [400/4000] time: 30853.9590, dice0 = 0.04724, cross0 = 0.0428, kl0 = 0.0060, exclusion0 = 0.0516,     dice1 = 0.06409, cross1 = 0.0962, kl1 = 0.0054, exclusion1 = 0.0428
1.1461581
Epoch: [ 53] [450/4000] time: 30861.3034, net0_loss = 0.08948, net0_acc = 0.9847, net0_test_acc = 0.8797,     net1_loss = 0.22031, net1_acc = 0.9651, net1_test_acc = 0.9526
Epoch: [ 53] [450/4000] time: 30861.3036, dice0 = 0.03576, cross0 = 0.0401, kl0 = 0.0013, exclusion0 = 0.0260,     dice1 = 0.08073, cross1 = 0.0847, kl1 = 0.0211, exclusion1 = 0.0887
1.1604333
Epoch: [ 53] [500/4000] time: 30868.7203, net0_loss = 0.13149, net0_acc = 0.9805, net0_test_acc = 0.9000,     net1_loss = 0.09627, net1_acc = 0.9862, net1_test_acc = 0.9648
Epoch: [ 53] [500/4000] time: 30868.7204, dice0 = 0.04906, cross0 = 0.0459, kl0 = 0.0109, exclusion0 = 0.0621,     dice1 = 0.03662, cross1 = 0.0350, kl1 = 0.0075, exclusion1 = 0.0418
1.1450093
Epoch: [ 53] [550/4000] time: 30876.1831, net0_loss = 0.12379, net0_acc = 0.9795, net0_test_acc = 0.9640,     net1_loss = 0.05151, net1_acc = 0.9922, net1_test_acc = 0.9651
Epoch: [ 53] [550/4000] time: 30876.1832, dice0 = 0.04774, cross0 = 0.0541, kl0 = 0.0036, exclusion0 = 0.0402,     dice1 = 0.02011, cross1 = 0.0206, kl1 = 0.0021, exclusion1 = 0.0194
1.3163738
Epoch: [ 53] [600/4000] time: 30883.5815, net0_loss = 0.05677, net0_acc = 0.9917, net0_test_acc = 0.9162,     net1_loss = 0.23524, net1_acc = 0.9587, net1_test_acc = 0.9699
Epoch: [ 53] [600/4000] time: 30883.5816, dice0 = 0.02284, cross0 = 0.0208, kl0 = 0.0024, exclusion0 = 0.0239,     dice1 = 0.09206, cross1 = 0.1001, kl1 = 0.0069, exclusion1 = 0.0792
1.1722995
Epoch: [ 53] [650/4000] time: 30890.9780, net0_loss = 0.15039, net0_acc = 0.9833, net0_test_acc = 0.9802,     net1_loss = 0.22317, net1_acc = 0.9640, net1_test_acc = 0.9514
Epoch: [ 53] [650/4000] time: 30890.9780, dice0 = 0.04283, cross0 = 0.0467, kl0 = 0.0300, exclusion0 = 0.0918,     dice1 = 0.07982, cross1 = 0.1001, kl1 = 0.0111, exclusion1 = 0.0754
1.115253
Epoch: [ 53] [700/4000] time: 30898.3778, net0_loss = 0.34665, net0_acc = 0.9478, net0_test_acc = 0.7284,     net1_loss = 0.15382, net1_acc = 0.9760, net1_test_acc = 0.9196
Epoch: [ 53] [700/4000] time: 30898.3779, dice0 = 0.12125, cross0 = 0.1550, kl0 = 0.0230, exclusion0 = 0.1179,     dice1 = 0.05797, cross1 = 0.0625, kl1 = 0.0091, exclusion1 = 0.0576
1.1204844
Epoch: [ 53] [750/4000] time: 30905.8094, net0_loss = 0.10606, net0_acc = 0.9832, net0_test_acc = 0.9567,     net1_loss = 0.07276, net1_acc = 0.9915, net1_test_acc = 0.9521
Epoch: [ 53] [750/4000] time: 30905.8095, dice0 = 0.04156, cross0 = 0.0396, kl0 = 0.0065, exclusion0 = 0.0432,     dice1 = 0.02415, cross1 = 0.0298, kl1 = 0.0065, exclusion1 = 0.0311
1.1279789
Epoch: [ 53] [800/4000] time: 30913.2287, net0_loss = 0.32487, net0_acc = 0.9511, net0_test_acc = 0.9433,     net1_loss = 0.22462, net1_acc = 0.9624, net1_test_acc = 0.9574
Epoch: [ 53] [800/4000] time: 30913.2288, dice0 = 0.11134, cross0 = 0.1539, kl0 = 0.0208, exclusion0 = 0.0985,     dice1 = 0.08570, cross1 = 0.0937, kl1 = 0.0092, exclusion1 = 0.0812
1.1075387
Epoch: [ 53] [850/4000] time: 30920.6026, net0_loss = 0.09273, net0_acc = 0.9857, net0_test_acc = 0.9400,     net1_loss = 0.10227, net1_acc = 0.9837, net1_test_acc = 0.9294
Epoch: [ 53] [850/4000] time: 30920.6027, dice0 = 0.03670, cross0 = 0.0345, kl0 = 0.0034, exclusion0 = 0.0397,     dice1 = 0.03977, cross1 = 0.0427, kl1 = 0.0039, exclusion1 = 0.0357
1.114039
Epoch: [ 53] [900/4000] time: 30928.0225, net0_loss = 0.12930, net0_acc = 0.9790, net0_test_acc = 0.8208,     net1_loss = 0.24043, net1_acc = 0.9589, net1_test_acc = 0.9311
Epoch: [ 53] [900/4000] time: 30928.0225, dice0 = 0.05060, cross0 = 0.0536, kl0 = 0.0047, exclusion0 = 0.0454,     dice1 = 0.09024, cross1 = 0.1103, kl1 = 0.0068, exclusion1 = 0.0731
1.2027154
Epoch: [ 53] [950/4000] time: 30935.3906, net0_loss = 0.22612, net0_acc = 0.9609, net0_test_acc = 0.8995,     net1_loss = 0.07166, net1_acc = 0.9883, net1_test_acc = 0.9291
Epoch: [ 53] [950/4000] time: 30935.3907, dice0 = 0.08456, cross0 = 0.1016, kl0 = 0.0093, exclusion0 = 0.0706,     dice1 = 0.02992, cross1 = 0.0255, kl1 = 0.0024, exclusion1 = 0.0302
1.2781013
Epoch: [ 53] [1000/4000] time: 30942.8655, net0_loss = 0.26035, net0_acc = 0.9592, net0_test_acc = 0.9540,     net1_loss = 0.05730, net1_acc = 0.9924, net1_test_acc = 0.9408
Epoch: [ 53] [1000/4000] time: 30942.8656, dice0 = 0.09562, cross0 = 0.1132, kl0 = 0.0119, exclusion0 = 0.0911,     dice1 = 0.02302, cross1 = 0.0183, kl1 = 0.0039, exclusion1 = 0.0281
1.3953562
Epoch: [ 53] [1050/4000] time: 30950.1180, net0_loss = 0.05598, net0_acc = 0.9930, net0_test_acc = 0.8362,     net1_loss = 0.24493, net1_acc = 0.9600, net1_test_acc = 0.9364
Epoch: [ 53] [1050/4000] time: 30950.1181, dice0 = 0.02172, cross0 = 0.0215, kl0 = 0.0034, exclusion0 = 0.0223,     dice1 = 0.08229, cross1 = 0.1324, kl1 = 0.0085, exclusion1 = 0.0520
1.2414432
Epoch: [ 53] [1100/4000] time: 30957.5118, net0_loss = 0.05913, net0_acc = 0.9926, net0_test_acc = 0.9665,     net1_loss = 0.19143, net1_acc = 0.9792, net1_test_acc = 0.9608
Epoch: [ 53] [1100/4000] time: 30957.5118, dice0 = 0.02424, cross0 = 0.0181, kl0 = 0.0025, exclusion0 = 0.0312,     dice1 = 0.05292, cross1 = 0.0486, kl1 = 0.0546, exclusion1 = 0.1253
1.202151
Epoch: [ 53] [1150/4000] time: 30965.1068, net0_loss = 0.13742, net0_acc = 0.9777, net0_test_acc = 0.9533,     net1_loss = 0.11998, net1_acc = 0.9817, net1_test_acc = 0.9909
Epoch: [ 53] [1150/4000] time: 30965.1069, dice0 = 0.05257, cross0 = 0.0562, kl0 = 0.0059, exclusion0 = 0.0513,     dice1 = 0.04547, cross1 = 0.0485, kl1 = 0.0075, exclusion1 = 0.0446
1.514142
Epoch: [ 53] [1200/4000] time: 30972.5486, net0_loss = 0.05515, net0_acc = 0.9928, net0_test_acc = 0.9620,     net1_loss = 0.17961, net1_acc = 0.9692, net1_test_acc = 0.9017
Epoch: [ 53] [1200/4000] time: 30972.5486, dice0 = 0.02269, cross0 = 0.0182, kl0 = 0.0017, exclusion0 = 0.0268,     dice1 = 0.06750, cross1 = 0.0821, kl1 = 0.0068, exclusion1 = 0.0533
1.1258811
Epoch: [ 53] [1250/4000] time: 30979.9541, net0_loss = 0.09530, net0_acc = 0.9837, net0_test_acc = 0.8551,     net1_loss = 0.08021, net1_acc = 0.9879, net1_test_acc = 0.9114
Epoch: [ 53] [1250/4000] time: 30979.9541, dice0 = 0.03854, cross0 = 0.0394, kl0 = 0.0016, exclusion0 = 0.0330,     dice1 = 0.03170, cross1 = 0.0310, kl1 = 0.0032, exclusion1 = 0.0319
1.3171626
Epoch: [ 53] [1300/4000] time: 30987.3440, net0_loss = 0.11463, net0_acc = 0.9814, net0_test_acc = 0.8348,     net1_loss = 0.19485, net1_acc = 0.9656, net1_test_acc = 0.9625
Epoch: [ 53] [1300/4000] time: 30987.3441, dice0 = 0.04180, cross0 = 0.0542, kl0 = 0.0045, exclusion0 = 0.0327,     dice1 = 0.07365, cross1 = 0.0899, kl1 = 0.0066, exclusion1 = 0.0560
1.2961488
Epoch: [ 53] [1350/4000] time: 30994.7686, net0_loss = 0.11735, net0_acc = 0.9802, net0_test_acc = 0.9836,     net1_loss = 0.05546, net1_acc = 0.9924, net1_test_acc = 0.9060
Epoch: [ 53] [1350/4000] time: 30994.7686, dice0 = 0.04630, cross0 = 0.0506, kl0 = 0.0028, exclusion0 = 0.0381,     dice1 = 0.02195, cross1 = 0.0183, kl1 = 0.0036, exclusion1 = 0.0269
1.1677334
Epoch: [ 53] [1400/4000] time: 31002.1595, net0_loss = 0.13077, net0_acc = 0.9807, net0_test_acc = 0.9627,     net1_loss = 0.12059, net1_acc = 0.9821, net1_test_acc = 0.9586
Epoch: [ 53] [1400/4000] time: 31002.1596, dice0 = 0.05023, cross0 = 0.0476, kl0 = 0.0075, exclusion0 = 0.0584,     dice1 = 0.04447, cross1 = 0.0499, kl1 = 0.0054, exclusion1 = 0.0469
1.1848389
Epoch: [ 53] [1450/4000] time: 31009.4456, net0_loss = 0.09037, net0_acc = 0.9848, net0_test_acc = 0.8939,     net1_loss = 0.09314, net1_acc = 0.9852, net1_test_acc = 0.9238
Epoch: [ 53] [1450/4000] time: 31009.4457, dice0 = 0.03528, cross0 = 0.0397, kl0 = 0.0022, exclusion0 = 0.0287,     dice1 = 0.03568, cross1 = 0.0399, kl1 = 0.0042, exclusion1 = 0.0310
1.1526062
Epoch: [ 53] [1500/4000] time: 31017.0164, net0_loss = 0.14200, net0_acc = 0.9773, net0_test_acc = 0.9532,     net1_loss = 0.12320, net1_acc = 0.9787, net1_test_acc = 0.8964
Epoch: [ 53] [1500/4000] time: 31017.0165, dice0 = 0.05135, cross0 = 0.0682, kl0 = 0.0053, exclusion0 = 0.0396,     dice1 = 0.04635, cross1 = 0.0582, kl1 = 0.0041, exclusion1 = 0.0333
1.178406
Epoch: [ 53] [1550/4000] time: 31024.4624, net0_loss = 0.14952, net0_acc = 0.9724, net0_test_acc = 0.9652,     net1_loss = 0.12241, net1_acc = 0.9814, net1_test_acc = 0.9482
Epoch: [ 53] [1550/4000] time: 31024.4625, dice0 = 0.05780, cross0 = 0.0732, kl0 = 0.0020, exclusion0 = 0.0351,     dice1 = 0.04782, cross1 = 0.0477, kl1 = 0.0066, exclusion1 = 0.0472
1.1571627
Epoch: [ 53] [1600/4000] time: 31031.8336, net0_loss = 0.11565, net0_acc = 0.9807, net0_test_acc = 0.9445,     net1_loss = 0.11468, net1_acc = 0.9819, net1_test_acc = 0.9496
Epoch: [ 53] [1600/4000] time: 31031.8336, dice0 = 0.04407, cross0 = 0.0497, kl0 = 0.0048, exclusion0 = 0.0390,     dice1 = 0.04531, cross1 = 0.0450, kl1 = 0.0044, exclusion1 = 0.0443
1.3105121
Epoch: [ 53] [1650/4000] time: 31039.1488, net0_loss = 0.20826, net0_acc = 0.9692, net0_test_acc = 0.9395,     net1_loss = 0.14617, net1_acc = 0.9779, net1_test_acc = 0.7744
Epoch: [ 53] [1650/4000] time: 31039.1489, dice0 = 0.07677, cross0 = 0.0788, kl0 = 0.0150, exclusion0 = 0.0903,     dice1 = 0.05450, cross1 = 0.0501, kl1 = 0.0140, exclusion1 = 0.0691
1.1111692
Epoch: [ 53] [1700/4000] time: 31046.5893, net0_loss = 0.23415, net0_acc = 0.9600, net0_test_acc = 0.8533,     net1_loss = 0.32085, net1_acc = 0.9456, net1_test_acc = 0.9008
Epoch: [ 53] [1700/4000] time: 31046.5894, dice0 = 0.09117, cross0 = 0.0978, kl0 = 0.0086, exclusion0 = 0.0817,     dice1 = 0.11934, cross1 = 0.1478, kl1 = 0.0119, exclusion1 = 0.0955
1.2106878
Epoch: [ 53] [1750/4000] time: 31054.0322, net0_loss = 0.11366, net0_acc = 0.9834, net0_test_acc = 0.9155,     net1_loss = 0.20855, net1_acc = 0.9663, net1_test_acc = 0.8068
Epoch: [ 53] [1750/4000] time: 31054.0323, dice0 = 0.03860, cross0 = 0.0596, kl0 = 0.0024, exclusion0 = 0.0285,     dice1 = 0.07436, cross1 = 0.0835, kl1 = 0.0199, exclusion1 = 0.0815
1.3765693
Epoch: [ 53] [1800/4000] time: 31061.4586, net0_loss = 0.10589, net0_acc = 0.9848, net0_test_acc = 0.9422,     net1_loss = 0.22608, net1_acc = 0.9598, net1_test_acc = 0.9350
Epoch: [ 53] [1800/4000] time: 31061.4587, dice0 = 0.03870, cross0 = 0.0407, kl0 = 0.0083, exclusion0 = 0.0447,     dice1 = 0.08428, cross1 = 0.1076, kl1 = 0.0091, exclusion1 = 0.0593
1.1026125
Epoch: [ 53] [1850/4000] time: 31068.8489, net0_loss = 0.09652, net0_acc = 0.9844, net0_test_acc = 0.9212,     net1_loss = 0.07705, net1_acc = 0.9885, net1_test_acc = 0.9436
Epoch: [ 53] [1850/4000] time: 31068.8490, dice0 = 0.03812, cross0 = 0.0391, kl0 = 0.0039, exclusion0 = 0.0348,     dice1 = 0.03139, cross1 = 0.0271, kl1 = 0.0034, exclusion1 = 0.0338
1.1990858
Epoch: [ 53] [1900/4000] time: 31076.2859, net0_loss = 0.09262, net0_acc = 0.9840, net0_test_acc = 0.9718,     net1_loss = 0.03687, net1_acc = 0.9950, net1_test_acc = 0.9230
Epoch: [ 53] [1900/4000] time: 31076.2860, dice0 = 0.03596, cross0 = 0.0404, kl0 = 0.0027, exclusion0 = 0.0298,     dice1 = 0.01526, cross1 = 0.0121, kl1 = 0.0016, exclusion1 = 0.0174
1.165247
Epoch: [ 53] [1950/4000] time: 31083.6927, net0_loss = 0.11529, net0_acc = 0.9828, net0_test_acc = 0.9468,     net1_loss = 0.17056, net1_acc = 0.9747, net1_test_acc = 0.8687
Epoch: [ 53] [1950/4000] time: 31083.6928, dice0 = 0.04678, cross0 = 0.0411, kl0 = 0.0042, exclusion0 = 0.0507,     dice1 = 0.06344, cross1 = 0.0644, kl1 = 0.0119, exclusion1 = 0.0735
1.1802663
Epoch: [ 53] [2000/4000] time: 31091.0852, net0_loss = 0.25060, net0_acc = 0.9586, net0_test_acc = 0.9472,     net1_loss = 0.16052, net1_acc = 0.9738, net1_test_acc = 0.9814
Epoch: [ 53] [2000/4000] time: 31091.0853, dice0 = 0.09390, cross0 = 0.1029, kl0 = 0.0147, exclusion0 = 0.0928,     dice1 = 0.06109, cross1 = 0.0727, kl1 = 0.0051, exclusion1 = 0.0483
1.1479468
Epoch: [ 53] [2050/4000] time: 31098.4563, net0_loss = 0.10476, net0_acc = 0.9854, net0_test_acc = 0.8766,     net1_loss = 0.10903, net1_acc = 0.9824, net1_test_acc = 0.8518
Epoch: [ 53] [2050/4000] time: 31098.4564, dice0 = 0.03982, cross0 = 0.0330, kl0 = 0.0084, exclusion0 = 0.0555,     dice1 = 0.04388, cross1 = 0.0426, kl1 = 0.0043, exclusion1 = 0.0409
1.2171272
Epoch: [ 53] [2100/4000] time: 31105.7898, net0_loss = 0.09900, net0_acc = 0.9827, net0_test_acc = 0.9305,     net1_loss = 0.10757, net1_acc = 0.9829, net1_test_acc = 0.9230
Epoch: [ 53] [2100/4000] time: 31105.7898, dice0 = 0.03892, cross0 = 0.0444, kl0 = 0.0023, exclusion0 = 0.0290,     dice1 = 0.04088, cross1 = 0.0414, kl1 = 0.0066, exclusion1 = 0.0440
1.2432058
Epoch: [ 53] [2150/4000] time: 31113.3334, net0_loss = 0.17242, net0_acc = 0.9711, net0_test_acc = 0.9520,     net1_loss = 0.21979, net1_acc = 0.9617, net1_test_acc = 0.9518
Epoch: [ 53] [2150/4000] time: 31113.3334, dice0 = 0.06735, cross0 = 0.0699, kl0 = 0.0077, exclusion0 = 0.0626,     dice1 = 0.07729, cross1 = 0.1202, kl1 = 0.0035, exclusion1 = 0.0412
1.1488725
Epoch: [ 53] [2200/4000] time: 31120.7773, net0_loss = 0.10898, net0_acc = 0.9828, net0_test_acc = 0.9216,     net1_loss = 0.05443, net1_acc = 0.9914, net1_test_acc = 0.9902
Epoch: [ 53] [2200/4000] time: 31120.7774, dice0 = 0.04008, cross0 = 0.0434, kl0 = 0.0074, exclusion0 = 0.0436,     dice1 = 0.02197, cross1 = 0.0219, kl1 = 0.0017, exclusion1 = 0.0193
1.1429774
Epoch: [ 53] [2250/4000] time: 31128.1821, net0_loss = 0.23535, net0_acc = 0.9635, net0_test_acc = 0.9419,     net1_loss = 0.18602, net1_acc = 0.9702, net1_test_acc = 0.7995
Epoch: [ 53] [2250/4000] time: 31128.1822, dice0 = 0.08513, cross0 = 0.1000, kl0 = 0.0158, exclusion0 = 0.0846,     dice1 = 0.06981, cross1 = 0.0745, kl1 = 0.0133, exclusion1 = 0.0700
1.233474
Epoch: [ 53] [2300/4000] time: 31135.5790, net0_loss = 0.06869, net0_acc = 0.9886, net0_test_acc = 0.8799,     net1_loss = 0.13496, net1_acc = 0.9809, net1_test_acc = 0.9846
Epoch: [ 53] [2300/4000] time: 31135.5791, dice0 = 0.02816, cross0 = 0.0264, kl0 = 0.0019, exclusion0 = 0.0263,     dice1 = 0.05526, cross1 = 0.0462, kl1 = 0.0040, exclusion1 = 0.0631
1.2574323
Epoch: [ 53] [2350/4000] time: 31143.0190, net0_loss = 0.19165, net0_acc = 0.9678, net0_test_acc = 0.9513,     net1_loss = 0.20599, net1_acc = 0.9669, net1_test_acc = 0.9213
Epoch: [ 53] [2350/4000] time: 31143.0190, dice0 = 0.07301, cross0 = 0.0808, kl0 = 0.0107, exclusion0 = 0.0650,     dice1 = 0.07430, cross1 = 0.0854, kl1 = 0.0154, exclusion1 = 0.0771
1.1517125
Epoch: [ 53] [2400/4000] time: 31150.4220, net0_loss = 0.26803, net0_acc = 0.9615, net0_test_acc = 0.8725,     net1_loss = 0.12548, net1_acc = 0.9788, net1_test_acc = 0.9190
Epoch: [ 53] [2400/4000] time: 31150.4221, dice0 = 0.08979, cross0 = 0.1177, kl0 = 0.0218, exclusion0 = 0.0993,     dice1 = 0.05055, cross1 = 0.0484, kl1 = 0.0046, exclusion1 = 0.0485
1.1557119
Epoch: [ 53] [2450/4000] time: 31157.7582, net0_loss = 0.06668, net0_acc = 0.9910, net0_test_acc = 0.9233,     net1_loss = 0.07599, net1_acc = 0.9879, net1_test_acc = 0.8264
Epoch: [ 53] [2450/4000] time: 31157.7583, dice0 = 0.02533, cross0 = 0.0211, kl0 = 0.0052, exclusion0 = 0.0353,     dice1 = 0.03145, cross1 = 0.0286, kl1 = 0.0022, exclusion1 = 0.0296
1.127629
Epoch: [ 53] [2500/4000] time: 31165.1724, net0_loss = 0.25152, net0_acc = 0.9619, net0_test_acc = 0.9117,     net1_loss = 0.10101, net1_acc = 0.9849, net1_test_acc = 0.8830
Epoch: [ 53] [2500/4000] time: 31165.1724, dice0 = 0.08813, cross0 = 0.1094, kl0 = 0.0186, exclusion0 = 0.0894,     dice1 = 0.03941, cross1 = 0.0365, kl1 = 0.0056, exclusion1 = 0.0445
1.1830063
Epoch: [ 53] [2550/4000] time: 31172.6572, net0_loss = 0.08951, net0_acc = 0.9855, net0_test_acc = 0.9279,     net1_loss = 0.14859, net1_acc = 0.9751, net1_test_acc = 0.9251
Epoch: [ 53] [2550/4000] time: 31172.6573, dice0 = 0.03357, cross0 = 0.0369, kl0 = 0.0060, exclusion0 = 0.0320,     dice1 = 0.05456, cross1 = 0.0734, kl1 = 0.0036, exclusion1 = 0.0378
1.1264641
Epoch: [ 53] [2600/4000] time: 31180.0588, net0_loss = 0.15078, net0_acc = 0.9759, net0_test_acc = 0.8871,     net1_loss = 0.14506, net1_acc = 0.9770, net1_test_acc = 0.9197
Epoch: [ 53] [2600/4000] time: 31180.0590, dice0 = 0.05530, cross0 = 0.0719, kl0 = 0.0069, exclusion0 = 0.0402,     dice1 = 0.05059, cross1 = 0.0583, kl1 = 0.0154, exclusion1 = 0.0570
1.1886433
Epoch: [ 53] [2650/4000] time: 31187.4620, net0_loss = 0.18929, net0_acc = 0.9710, net0_test_acc = 0.9292,     net1_loss = 0.11866, net1_acc = 0.9822, net1_test_acc = 0.9607
Epoch: [ 53] [2650/4000] time: 31187.4621, dice0 = 0.06423, cross0 = 0.0917, kl0 = 0.0097, exclusion0 = 0.0570,     dice1 = 0.04717, cross1 = 0.0416, kl1 = 0.0071, exclusion1 = 0.0528
1.2040763
Epoch: [ 53] [2700/4000] time: 31194.9221, net0_loss = 0.12604, net0_acc = 0.9770, net0_test_acc = 0.9817,     net1_loss = 0.21843, net1_acc = 0.9611, net1_test_acc = 0.9897
Epoch: [ 53] [2700/4000] time: 31194.9222, dice0 = 0.04797, cross0 = 0.0628, kl0 = 0.0022, exclusion0 = 0.0284,     dice1 = 0.08177, cross1 = 0.1066, kl1 = 0.0088, exclusion1 = 0.0513
1.1366532
Epoch: [ 53] [2750/4000] time: 31202.3212, net0_loss = 0.28227, net0_acc = 0.9541, net0_test_acc = 0.9671,     net1_loss = 0.20355, net1_acc = 0.9651, net1_test_acc = 0.9590
Epoch: [ 53] [2750/4000] time: 31202.3212, dice0 = 0.09550, cross0 = 0.1307, kl0 = 0.0207, exclusion0 = 0.0915,     dice1 = 0.07405, cross1 = 0.0987, kl1 = 0.0075, exclusion1 = 0.0541
1.0993446
Epoch: [ 53] [2800/4000] time: 31209.7082, net0_loss = 0.15513, net0_acc = 0.9776, net0_test_acc = 0.9710,     net1_loss = 0.21545, net1_acc = 0.9659, net1_test_acc = 0.9196
Epoch: [ 53] [2800/4000] time: 31209.7083, dice0 = 0.05480, cross0 = 0.0613, kl0 = 0.0135, exclusion0 = 0.0645,     dice1 = 0.07974, cross1 = 0.0882, kl1 = 0.0165, exclusion1 = 0.0784
1.1592169
Epoch: [ 53] [2850/4000] time: 31217.1130, net0_loss = 0.12331, net0_acc = 0.9769, net0_test_acc = 0.9011,     net1_loss = 0.22577, net1_acc = 0.9634, net1_test_acc = 0.9867
Epoch: [ 53] [2850/4000] time: 31217.1131, dice0 = 0.04735, cross0 = 0.0623, kl0 = 0.0012, exclusion0 = 0.0260,     dice1 = 0.07917, cross1 = 0.0969, kl1 = 0.0176, exclusion1 = 0.0818
1.162208
Epoch: [ 53] [2900/4000] time: 31224.5615, net0_loss = 0.22759, net0_acc = 0.9673, net0_test_acc = 0.9372,     net1_loss = 0.10017, net1_acc = 0.9841, net1_test_acc = 0.9904
Epoch: [ 53] [2900/4000] time: 31224.5616, dice0 = 0.07099, cross0 = 0.1140, kl0 = 0.0166, exclusion0 = 0.0685,     dice1 = 0.03920, cross1 = 0.0415, kl1 = 0.0028, exclusion1 = 0.0361
1.1370164
Epoch: [ 53] [2950/4000] time: 31231.9322, net0_loss = 0.13797, net0_acc = 0.9788, net0_test_acc = 0.9183,     net1_loss = 0.14458, net1_acc = 0.9756, net1_test_acc = 0.9179
Epoch: [ 53] [2950/4000] time: 31231.9322, dice0 = 0.05238, cross0 = 0.0557, kl0 = 0.0066, exclusion0 = 0.0532,     dice1 = 0.05266, cross1 = 0.0711, kl1 = 0.0057, exclusion1 = 0.0361
1.3116927
Epoch: [ 53] [3000/4000] time: 31239.3019, net0_loss = 0.03275, net0_acc = 0.9961, net0_test_acc = 0.9656,     net1_loss = 0.06040, net1_acc = 0.9909, net1_test_acc = 0.9630
Epoch: [ 53] [3000/4000] time: 31239.3020, dice0 = 0.01227, cross0 = 0.0117, kl0 = 0.0019, exclusion0 = 0.0157,     dice1 = 0.02412, cross1 = 0.0211, kl1 = 0.0024, exclusion1 = 0.0279
1.1537633
Epoch: [ 53] [3050/4000] time: 31246.8062, net0_loss = 0.19260, net0_acc = 0.9699, net0_test_acc = 0.7482,     net1_loss = 0.13742, net1_acc = 0.9765, net1_test_acc = 0.8985
Epoch: [ 53] [3050/4000] time: 31246.8062, dice0 = 0.07521, cross0 = 0.0717, kl0 = 0.0100, exclusion0 = 0.0813,     dice1 = 0.05202, cross1 = 0.0610, kl1 = 0.0050, exclusion1 = 0.0438
1.214957
Epoch: [ 53] [3100/4000] time: 31254.1625, net0_loss = 0.15768, net0_acc = 0.9725, net0_test_acc = 0.8366,     net1_loss = 0.17260, net1_acc = 0.9728, net1_test_acc = 0.8234
Epoch: [ 53] [3100/4000] time: 31254.1626, dice0 = 0.05821, cross0 = 0.0713, kl0 = 0.0099, exclusion0 = 0.0464,     dice1 = 0.06781, cross1 = 0.0643, kl1 = 0.0108, exclusion1 = 0.0702
1.3022606
Epoch: [ 53] [3150/4000] time: 31261.6341, net0_loss = 0.07450, net0_acc = 0.9881, net0_test_acc = 0.9838,     net1_loss = 0.10415, net1_acc = 0.9823, net1_test_acc = 0.9696
Epoch: [ 53] [3150/4000] time: 31261.6341, dice0 = 0.03058, cross0 = 0.0292, kl0 = 0.0016, exclusion0 = 0.0278,     dice1 = 0.04020, cross1 = 0.0435, kl1 = 0.0043, exclusion1 = 0.0365
1.1895251
Epoch: [ 53] [3200/4000] time: 31269.0301, net0_loss = 0.27792, net0_acc = 0.9510, net0_test_acc = 0.9427,     net1_loss = 0.20462, net1_acc = 0.9651, net1_test_acc = 0.9389
Epoch: [ 53] [3200/4000] time: 31269.0302, dice0 = 0.10124, cross0 = 0.1205, kl0 = 0.0201, exclusion0 = 0.0922,     dice1 = 0.07331, cross1 = 0.1041, kl1 = 0.0061, exclusion1 = 0.0482
1.1359574
Epoch: [ 53] [3250/4000] time: 31276.4056, net0_loss = 0.12811, net0_acc = 0.9801, net0_test_acc = 0.9510,     net1_loss = 0.39073, net1_acc = 0.9412, net1_test_acc = 0.9592
Epoch: [ 53] [3250/4000] time: 31276.4057, dice0 = 0.05020, cross0 = 0.0509, kl0 = 0.0045, exclusion0 = 0.0496,     dice1 = 0.11685, cross1 = 0.2357, kl1 = 0.0125, exclusion1 = 0.0638
1.2212162
Epoch: [ 53] [3300/4000] time: 31283.7712, net0_loss = 0.13912, net0_acc = 0.9762, net0_test_acc = 0.9128,     net1_loss = 0.12640, net1_acc = 0.9778, net1_test_acc = 0.9782
Epoch: [ 53] [3300/4000] time: 31283.7713, dice0 = 0.05640, cross0 = 0.0570, kl0 = 0.0028, exclusion0 = 0.0487,     dice1 = 0.04998, cross1 = 0.0531, kl1 = 0.0039, exclusion1 = 0.0427
1.2281021
Epoch: [ 53] [3350/4000] time: 31291.2187, net0_loss = 0.27490, net0_acc = 0.9510, net0_test_acc = 0.9494,     net1_loss = 0.36301, net1_acc = 0.9458, net1_test_acc = 0.9329
Epoch: [ 53] [3350/4000] time: 31291.2188, dice0 = 0.10311, cross0 = 0.1302, kl0 = 0.0064, exclusion0 = 0.0769,     dice1 = 0.11631, cross1 = 0.1417, kl1 = 0.0542, exclusion1 = 0.1557
1.1138009
Epoch: [ 53] [3400/4000] time: 31298.6011, net0_loss = 0.13197, net0_acc = 0.9803, net0_test_acc = 0.9394,     net1_loss = 0.34459, net1_acc = 0.9404, net1_test_acc = 0.9255
Epoch: [ 53] [3400/4000] time: 31298.6012, dice0 = 0.04974, cross0 = 0.0544, kl0 = 0.0063, exclusion0 = 0.0492,     dice1 = 0.12201, cross1 = 0.1810, kl1 = 0.0069, exclusion1 = 0.0763
1.2038257
Epoch: [ 53] [3450/4000] time: 31305.9747, net0_loss = 0.03061, net0_acc = 0.9968, net0_test_acc = 0.9716,     net1_loss = 0.04602, net1_acc = 0.9937, net1_test_acc = 0.9182
Epoch: [ 53] [3450/4000] time: 31305.9747, dice0 = 0.01216, cross0 = 0.0089, kl0 = 0.0018, exclusion0 = 0.0173,     dice1 = 0.01913, cross1 = 0.0155, kl1 = 0.0024, exclusion1 = 0.0205
1.2371103
Epoch: [ 53] [3500/4000] time: 31313.4297, net0_loss = 0.07510, net0_acc = 0.9888, net0_test_acc = 0.7563,     net1_loss = 0.09299, net1_acc = 0.9854, net1_test_acc = 0.9381
Epoch: [ 53] [3500/4000] time: 31313.4297, dice0 = 0.02784, cross0 = 0.0275, kl0 = 0.0061, exclusion0 = 0.0334,     dice1 = 0.03804, cross1 = 0.0345, kl1 = 0.0020, exclusion1 = 0.0388
1.1235427
Epoch: [ 53] [3550/4000] time: 31320.8430, net0_loss = 0.07283, net0_acc = 0.9895, net0_test_acc = 0.8781,     net1_loss = 0.07433, net1_acc = 0.9886, net1_test_acc = 0.8214
Epoch: [ 53] [3550/4000] time: 31320.8431, dice0 = 0.02937, cross0 = 0.0259, kl0 = 0.0026, exclusion0 = 0.0326,     dice1 = 0.03011, cross1 = 0.0277, kl1 = 0.0027, exclusion1 = 0.0303
1.1868439
Epoch: [ 53] [3600/4000] time: 31328.2467, net0_loss = 0.08217, net0_acc = 0.9872, net0_test_acc = 0.8687,     net1_loss = 0.19272, net1_acc = 0.9693, net1_test_acc = 0.9598
Epoch: [ 53] [3600/4000] time: 31328.2468, dice0 = 0.03308, cross0 = 0.0306, kl0 = 0.0022, exclusion0 = 0.0347,     dice1 = 0.07053, cross1 = 0.0767, kl1 = 0.0195, exclusion1 = 0.0714
1.170661
Epoch: [ 53] [3650/4000] time: 31335.6285, net0_loss = 0.08753, net0_acc = 0.9866, net0_test_acc = 0.9017,     net1_loss = 0.11371, net1_acc = 0.9849, net1_test_acc = 0.9753
Epoch: [ 53] [3650/4000] time: 31335.6285, dice0 = 0.03395, cross0 = 0.0330, kl0 = 0.0050, exclusion0 = 0.0362,     dice1 = 0.04248, cross1 = 0.0347, kl1 = 0.0102, exclusion1 = 0.0629
1.1836371
Epoch: [ 53] [3700/4000] time: 31343.0120, net0_loss = 0.11115, net0_acc = 0.9809, net0_test_acc = 0.9046,     net1_loss = 0.28453, net1_acc = 0.9511, net1_test_acc = 0.9414
Epoch: [ 53] [3700/4000] time: 31343.0121, dice0 = 0.04421, cross0 = 0.0477, kl0 = 0.0033, exclusion0 = 0.0351,     dice1 = 0.09768, cross1 = 0.1393, kl1 = 0.0180, exclusion1 = 0.0771
1.1177856
Epoch: [ 53] [3750/4000] time: 31350.3585, net0_loss = 0.18564, net0_acc = 0.9679, net0_test_acc = 0.9542,     net1_loss = 0.13060, net1_acc = 0.9787, net1_test_acc = 0.8907
Epoch: [ 53] [3750/4000] time: 31350.3585, dice0 = 0.07092, cross0 = 0.0845, kl0 = 0.0055, exclusion0 = 0.0550,     dice1 = 0.05045, cross1 = 0.0487, kl1 = 0.0110, exclusion1 = 0.0518
1.1206669
Epoch: [ 53] [3800/4000] time: 31357.8714, net0_loss = 0.10924, net0_acc = 0.9805, net0_test_acc = 0.7626,     net1_loss = 0.08797, net1_acc = 0.9845, net1_test_acc = 0.8436
Epoch: [ 53] [3800/4000] time: 31357.8714, dice0 = 0.04320, cross0 = 0.0490, kl0 = 0.0024, exclusion0 = 0.0316,     dice1 = 0.03571, cross1 = 0.0367, kl1 = 0.0020, exclusion1 = 0.0291
1.1491114
Epoch: [ 53] [3850/4000] time: 31365.2637, net0_loss = 0.15903, net0_acc = 0.9767, net0_test_acc = 0.8097,     net1_loss = 0.08857, net1_acc = 0.9857, net1_test_acc = 0.8118
Epoch: [ 53] [3850/4000] time: 31365.2637, dice0 = 0.06181, cross0 = 0.0535, kl0 = 0.0111, exclusion0 = 0.0764,     dice1 = 0.03351, cross1 = 0.0373, kl1 = 0.0048, exclusion1 = 0.0308
1.2411454
Epoch: [ 53] [3900/4000] time: 31372.6791, net0_loss = 0.26840, net0_acc = 0.9559, net0_test_acc = 0.9732,     net1_loss = 0.20992, net1_acc = 0.9682, net1_test_acc = 0.9544
Epoch: [ 53] [3900/4000] time: 31372.6792, dice0 = 0.08703, cross0 = 0.1504, kl0 = 0.0108, exclusion0 = 0.0511,     dice1 = 0.08240, cross1 = 0.0815, kl1 = 0.0110, exclusion1 = 0.0811
1.193414
Epoch: [ 53] [3950/4000] time: 31380.1002, net0_loss = 0.15831, net0_acc = 0.9752, net0_test_acc = 0.9897,     net1_loss = 0.12806, net1_acc = 0.9807, net1_test_acc = 0.9471
Epoch: [ 53] [3950/4000] time: 31380.1003, dice0 = 0.05587, cross0 = 0.0580, kl0 = 0.0193, exclusion0 = 0.0695,     dice1 = 0.05074, cross1 = 0.0477, kl1 = 0.0052, exclusion1 = 0.0541
1.1976444
Epoch: [ 54] [  0/4000] time: 31387.5092, net0_loss = 0.14791, net0_acc = 0.9749, net0_test_acc = 0.9460,     net1_loss = 0.11148, net1_acc = 0.9825, net1_test_acc = 0.8030
Epoch: [ 54] [  0/4000] time: 31387.5092, dice0 = 0.05384, cross0 = 0.0673, kl0 = 0.0078, exclusion0 = 0.0458,     dice1 = 0.04369, cross1 = 0.0434, kl1 = 0.0050, exclusion1 = 0.0439
1.1146445
Epoch: [ 54] [ 50/4000] time: 31394.8846, net0_loss = 0.21571, net0_acc = 0.9649, net0_test_acc = 0.9796,     net1_loss = 0.08260, net1_acc = 0.9889, net1_test_acc = 0.8869
Epoch: [ 54] [ 50/4000] time: 31394.8847, dice0 = 0.07490, cross0 = 0.1105, kl0 = 0.0079, exclusion0 = 0.0528,     dice1 = 0.03211, cross1 = 0.0277, kl1 = 0.0061, exclusion1 = 0.0394
1.0918728
Epoch: [ 54] [100/4000] time: 31402.2908, net0_loss = 0.03348, net0_acc = 0.9951, net0_test_acc = 0.9541,     net1_loss = 0.36958, net1_acc = 0.9394, net1_test_acc = 0.9623
Epoch: [ 54] [100/4000] time: 31402.2909, dice0 = 0.01274, cross0 = 0.0134, kl0 = 0.0013, exclusion0 = 0.0134,     dice1 = 0.12623, cross1 = 0.1744, kl1 = 0.0226, exclusion1 = 0.1153
1.0761802
Epoch: [ 54] [150/4000] time: 31409.7182, net0_loss = 0.19801, net0_acc = 0.9648, net0_test_acc = 0.9391,     net1_loss = 0.25793, net1_acc = 0.9542, net1_test_acc = 0.9819
Epoch: [ 54] [150/4000] time: 31409.7183, dice0 = 0.07296, cross0 = 0.0990, kl0 = 0.0047, exclusion0 = 0.0474,     dice1 = 0.09658, cross1 = 0.1189, kl1 = 0.0124, exclusion1 = 0.0724
1.0777944
Epoch: [ 54] [200/4000] time: 31417.1239, net0_loss = 0.27725, net0_acc = 0.9528, net0_test_acc = 0.8944,     net1_loss = 0.22895, net1_acc = 0.9589, net1_test_acc = 0.9514
Epoch: [ 54] [200/4000] time: 31417.1240, dice0 = 0.09994, cross0 = 0.1390, kl0 = 0.0075, exclusion0 = 0.0691,     dice1 = 0.08960, cross1 = 0.0993, kl1 = 0.0072, exclusion1 = 0.0728
1.0928316
Epoch: [ 54] [250/4000] time: 31424.5526, net0_loss = 0.14548, net0_acc = 0.9774, net0_test_acc = 0.9096,     net1_loss = 0.05887, net1_acc = 0.9913, net1_test_acc = 0.9648
Epoch: [ 54] [250/4000] time: 31424.5526, dice0 = 0.05533, cross0 = 0.0585, kl0 = 0.0061, exclusion0 = 0.0571,     dice1 = 0.02390, cross1 = 0.0198, kl1 = 0.0030, exclusion1 = 0.0272
1.151572
Epoch: [ 54] [300/4000] time: 31431.9593, net0_loss = 0.16820, net0_acc = 0.9762, net0_test_acc = 0.9635,     net1_loss = 0.19494, net1_acc = 0.9677, net1_test_acc = 0.9624
Epoch: [ 54] [300/4000] time: 31431.9594, dice0 = 0.06543, cross0 = 0.0590, kl0 = 0.0086, exclusion0 = 0.0790,     dice1 = 0.07626, cross1 = 0.0811, kl1 = 0.0078, exclusion1 = 0.0672
1.1676528
Epoch: [ 54] [350/4000] time: 31439.3478, net0_loss = 0.17521, net0_acc = 0.9705, net0_test_acc = 0.9103,     net1_loss = 0.18139, net1_acc = 0.9718, net1_test_acc = 0.9748
Epoch: [ 54] [350/4000] time: 31439.3478, dice0 = 0.06748, cross0 = 0.0745, kl0 = 0.0077, exclusion0 = 0.0588,     dice1 = 0.06384, cross1 = 0.0960, kl1 = 0.0033, exclusion1 = 0.0398
1.1445858
Epoch: [ 54] [400/4000] time: 31446.7497, net0_loss = 0.13473, net0_acc = 0.9776, net0_test_acc = 0.9811,     net1_loss = 0.12478, net1_acc = 0.9803, net1_test_acc = 0.9533
Epoch: [ 54] [400/4000] time: 31446.7497, dice0 = 0.05156, cross0 = 0.0567, kl0 = 0.0059, exclusion0 = 0.0470,     dice1 = 0.05098, cross1 = 0.0471, kl1 = 0.0026, exclusion1 = 0.0507
1.083696
Epoch: [ 54] [450/4000] time: 31454.1463, net0_loss = 0.12556, net0_acc = 0.9852, net0_test_acc = 0.7751,     net1_loss = 0.33419, net1_acc = 0.9472, net1_test_acc = 0.9244
Epoch: [ 54] [450/4000] time: 31454.1464, dice0 = 0.03898, cross0 = 0.0383, kl0 = 0.0202, exclusion0 = 0.0764,     dice1 = 0.11531, cross1 = 0.1465, kl1 = 0.0240, exclusion1 = 0.1207
1.0592158
Epoch: [ 54] [500/4000] time: 31461.5271, net0_loss = 0.20793, net0_acc = 0.9700, net0_test_acc = 0.9537,     net1_loss = 0.08949, net1_acc = 0.9895, net1_test_acc = 0.9543
Epoch: [ 54] [500/4000] time: 31461.5272, dice0 = 0.07107, cross0 = 0.0787, kl0 = 0.0227, exclusion0 = 0.0936,     dice1 = 0.03039, cross1 = 0.0269, kl1 = 0.0145, exclusion1 = 0.0500
1.1710719
Epoch: [ 54] [550/4000] time: 31468.9833, net0_loss = 0.08001, net0_acc = 0.9893, net0_test_acc = 0.9414,     net1_loss = 0.09599, net1_acc = 0.9853, net1_test_acc = 0.9518
Epoch: [ 54] [550/4000] time: 31468.9834, dice0 = 0.02762, cross0 = 0.0286, kl0 = 0.0091, exclusion0 = 0.0385,     dice1 = 0.03902, cross1 = 0.0342, kl1 = 0.0038, exclusion1 = 0.0417
1.1357206
Epoch: [ 54] [600/4000] time: 31476.3829, net0_loss = 0.27647, net0_acc = 0.9538, net0_test_acc = 0.9423,     net1_loss = 0.10324, net1_acc = 0.9803, net1_test_acc = 0.9306
Epoch: [ 54] [600/4000] time: 31476.3830, dice0 = 0.09990, cross0 = 0.1325, kl0 = 0.0113, exclusion0 = 0.0769,     dice1 = 0.04094, cross1 = 0.0482, kl1 = 0.0018, exclusion1 = 0.0263
1.0770872
Epoch: [ 54] [650/4000] time: 31483.8208, net0_loss = 0.19327, net0_acc = 0.9689, net0_test_acc = 0.8131,     net1_loss = 0.13996, net1_acc = 0.9763, net1_test_acc = 0.9097
Epoch: [ 54] [650/4000] time: 31483.8210, dice0 = 0.07191, cross0 = 0.0810, kl0 = 0.0114, exclusion0 = 0.0692,     dice1 = 0.05026, cross1 = 0.0717, kl1 = 0.0042, exclusion1 = 0.0318
1.0645235
Epoch: [ 54] [700/4000] time: 31491.1880, net0_loss = 0.37060, net0_acc = 0.9371, net0_test_acc = 0.8953,     net1_loss = 0.14229, net1_acc = 0.9765, net1_test_acc = 0.9106
Epoch: [ 54] [700/4000] time: 31491.1881, dice0 = 0.13355, cross0 = 0.1612, kl0 = 0.0268, exclusion0 = 0.1249,     dice1 = 0.05426, cross1 = 0.0607, kl1 = 0.0074, exclusion1 = 0.0472
1.0664858
Epoch: [ 54] [750/4000] time: 31498.5561, net0_loss = 0.23267, net0_acc = 0.9574, net0_test_acc = 0.9504,     net1_loss = 0.19437, net1_acc = 0.9679, net1_test_acc = 0.9361
Epoch: [ 54] [750/4000] time: 31498.5561, dice0 = 0.08467, cross0 = 0.1226, kl0 = 0.0044, exclusion0 = 0.0464,     dice1 = 0.06848, cross1 = 0.0888, kl1 = 0.0114, exclusion1 = 0.0628
1.1089685
Epoch: [ 54] [800/4000] time: 31505.9767, net0_loss = 0.19829, net0_acc = 0.9719, net0_test_acc = 0.8414,     net1_loss = 0.23353, net1_acc = 0.9620, net1_test_acc = 0.9392
Epoch: [ 54] [800/4000] time: 31505.9768, dice0 = 0.07885, cross0 = 0.0686, kl0 = 0.0123, exclusion0 = 0.0893,     dice1 = 0.08483, cross1 = 0.0969, kl1 = 0.0168, exclusion1 = 0.0867
1.2076114
Epoch: [ 54] [850/4000] time: 31513.4193, net0_loss = 0.10400, net0_acc = 0.9838, net0_test_acc = 0.9630,     net1_loss = 0.17938, net1_acc = 0.9693, net1_test_acc = 0.9588
Epoch: [ 54] [850/4000] time: 31513.4193, dice0 = 0.04025, cross0 = 0.0391, kl0 = 0.0067, exclusion0 = 0.0427,     dice1 = 0.06725, cross1 = 0.0833, kl1 = 0.0072, exclusion1 = 0.0505
1.190568
Epoch: [ 54] [900/4000] time: 31520.8925, net0_loss = 0.10207, net0_acc = 0.9816, net0_test_acc = 0.9508,     net1_loss = 0.11358, net1_acc = 0.9816, net1_test_acc = 0.9904
Epoch: [ 54] [900/4000] time: 31520.8926, dice0 = 0.03933, cross0 = 0.0445, kl0 = 0.0055, exclusion0 = 0.0310,     dice1 = 0.04168, cross1 = 0.0574, kl1 = 0.0022, exclusion1 = 0.0269
1.1304067
Epoch: [ 54] [950/4000] time: 31528.2857, net0_loss = 0.14309, net0_acc = 0.9753, net0_test_acc = 0.9616,     net1_loss = 0.05593, net1_acc = 0.9926, net1_test_acc = 0.9069
Epoch: [ 54] [950/4000] time: 31528.2858, dice0 = 0.05503, cross0 = 0.0627, kl0 = 0.0051, exclusion0 = 0.0457,     dice1 = 0.02296, cross1 = 0.0187, kl1 = 0.0025, exclusion1 = 0.0260
1.1623049
Epoch: [ 54] [1000/4000] time: 31535.7044, net0_loss = 0.06841, net0_acc = 0.9898, net0_test_acc = 0.8601,     net1_loss = 0.11876, net1_acc = 0.9817, net1_test_acc = 0.9068
Epoch: [ 54] [1000/4000] time: 31535.7045, dice0 = 0.02555, cross0 = 0.0308, kl0 = 0.0021, exclusion0 = 0.0220,     dice1 = 0.04785, cross1 = 0.0447, kl1 = 0.0068, exclusion1 = 0.0456
1.108896
Epoch: [ 54] [1050/4000] time: 31543.1132, net0_loss = 0.04835, net0_acc = 0.9919, net0_test_acc = 0.8142,     net1_loss = 0.13163, net1_acc = 0.9787, net1_test_acc = 0.9684
Epoch: [ 54] [1050/4000] time: 31543.1133, dice0 = 0.01895, cross0 = 0.0207, kl0 = 0.0014, exclusion0 = 0.0160,     dice1 = 0.05229, cross1 = 0.0554, kl1 = 0.0037, exclusion1 = 0.0441
1.1906402
Epoch: [ 54] [1100/4000] time: 31550.4216, net0_loss = 0.13127, net0_acc = 0.9816, net0_test_acc = 0.9839,     net1_loss = 0.26061, net1_acc = 0.9574, net1_test_acc = 0.9038
Epoch: [ 54] [1100/4000] time: 31550.4217, dice0 = 0.04275, cross0 = 0.0567, kl0 = 0.0132, exclusion0 = 0.0504,     dice1 = 0.09693, cross1 = 0.1082, kl1 = 0.0142, exclusion1 = 0.0967
1.135314
Epoch: [ 54] [1150/4000] time: 31557.9120, net0_loss = 0.05809, net0_acc = 0.9912, net0_test_acc = 0.9660,     net1_loss = 0.04036, net1_acc = 0.9961, net1_test_acc = 0.9647
Epoch: [ 54] [1150/4000] time: 31557.9121, dice0 = 0.02362, cross0 = 0.0217, kl0 = 0.0014, exclusion0 = 0.0242,     dice1 = 0.01467, cross1 = 0.0132, kl1 = 0.0033, exclusion1 = 0.0218
1.4143316
Epoch: [ 54] [1200/4000] time: 31565.3478, net0_loss = 0.15526, net0_acc = 0.9747, net0_test_acc = 0.8928,     net1_loss = 0.09641, net1_acc = 0.9833, net1_test_acc = 0.9009
Epoch: [ 54] [1200/4000] time: 31565.3479, dice0 = 0.05653, cross0 = 0.0647, kl0 = 0.0124, exclusion0 = 0.0557,     dice1 = 0.03708, cross1 = 0.0471, kl1 = 0.0015, exclusion1 = 0.0229
1.1666167
Epoch: [ 54] [1250/4000] time: 31572.7928, net0_loss = 0.16608, net0_acc = 0.9736, net0_test_acc = 0.9467,     net1_loss = 0.06516, net1_acc = 0.9912, net1_test_acc = 0.8896
Epoch: [ 54] [1250/4000] time: 31572.7928, dice0 = 0.06279, cross0 = 0.0654, kl0 = 0.0100, exclusion0 = 0.0659,     dice1 = 0.02595, cross1 = 0.0231, kl1 = 0.0049, exclusion1 = 0.0273
1.2726501
Epoch: [ 54] [1300/4000] time: 31580.1347, net0_loss = 0.14077, net0_acc = 0.9754, net0_test_acc = 0.9715,     net1_loss = 0.11998, net1_acc = 0.9797, net1_test_acc = 0.9564
Epoch: [ 54] [1300/4000] time: 31580.1348, dice0 = 0.05227, cross0 = 0.0622, kl0 = 0.0084, exclusion0 = 0.0441,     dice1 = 0.04669, cross1 = 0.0539, kl1 = 0.0025, exclusion1 = 0.0363
1.1857775
Epoch: [ 54] [1350/4000] time: 31587.5529, net0_loss = 0.30822, net0_acc = 0.9471, net0_test_acc = 0.9505,     net1_loss = 0.19219, net1_acc = 0.9689, net1_test_acc = 0.9504
Epoch: [ 54] [1350/4000] time: 31587.5530, dice0 = 0.10544, cross0 = 0.1463, kl0 = 0.0223, exclusion0 = 0.0907,     dice1 = 0.06773, cross1 = 0.0912, kl1 = 0.0095, exclusion1 = 0.0569
1.2712843
Epoch: [ 54] [1400/4000] time: 31594.9759, net0_loss = 0.22441, net0_acc = 0.9631, net0_test_acc = 0.9400,     net1_loss = 0.03937, net1_acc = 0.9951, net1_test_acc = 0.7767
Epoch: [ 54] [1400/4000] time: 31594.9760, dice0 = 0.08005, cross0 = 0.1039, kl0 = 0.0129, exclusion0 = 0.0681,     dice1 = 0.01580, cross1 = 0.0133, kl1 = 0.0021, exclusion1 = 0.0185
1.1922846
Epoch: [ 54] [1450/4000] time: 31602.3730, net0_loss = 0.08617, net0_acc = 0.9872, net0_test_acc = 0.8655,     net1_loss = 0.07471, net1_acc = 0.9882, net1_test_acc = 0.9042
Epoch: [ 54] [1450/4000] time: 31602.3731, dice0 = 0.03173, cross0 = 0.0330, kl0 = 0.0062, exclusion0 = 0.0367,     dice1 = 0.02816, cross1 = 0.0341, kl1 = 0.0025, exclusion1 = 0.0224
1.2273036
Epoch: [ 54] [1500/4000] time: 31609.8330, net0_loss = 0.14355, net0_acc = 0.9773, net0_test_acc = 0.9233,     net1_loss = 0.28447, net1_acc = 0.9511, net1_test_acc = 0.7932
Epoch: [ 54] [1500/4000] time: 31609.8331, dice0 = 0.05465, cross0 = 0.0544, kl0 = 0.0103, exclusion0 = 0.0588,     dice1 = 0.09943, cross1 = 0.1424, kl1 = 0.0128, exclusion1 = 0.0724
1.1411928
Epoch: [ 54] [1550/4000] time: 31617.2385, net0_loss = 0.07830, net0_acc = 0.9895, net0_test_acc = 0.9392,     net1_loss = 0.17786, net1_acc = 0.9686, net1_test_acc = 0.9303
Epoch: [ 54] [1550/4000] time: 31617.2386, dice0 = 0.03177, cross0 = 0.0254, kl0 = 0.0032, exclusion0 = 0.0391,     dice1 = 0.06340, cross1 = 0.0992, kl1 = 0.0023, exclusion1 = 0.0281
1.1646842
Epoch: [ 54] [1600/4000] time: 31624.6603, net0_loss = 0.17660, net0_acc = 0.9696, net0_test_acc = 0.9186,     net1_loss = 0.11149, net1_acc = 0.9813, net1_test_acc = 0.9289
Epoch: [ 54] [1600/4000] time: 31624.6604, dice0 = 0.06079, cross0 = 0.0926, kl0 = 0.0076, exclusion0 = 0.0387,     dice1 = 0.04091, cross1 = 0.0468, kl1 = 0.0087, exclusion1 = 0.0390
1.2330202
Epoch: [ 54] [1650/4000] time: 31631.9516, net0_loss = 0.12388, net0_acc = 0.9797, net0_test_acc = 0.9723,     net1_loss = 0.07609, net1_acc = 0.9893, net1_test_acc = 0.9340
Epoch: [ 54] [1650/4000] time: 31631.9517, dice0 = 0.04991, cross0 = 0.0479, kl0 = 0.0044, exclusion0 = 0.0477,     dice1 = 0.02992, cross1 = 0.0267, kl1 = 0.0036, exclusion1 = 0.0354
1.1906956
Epoch: [ 54] [1700/4000] time: 31639.4515, net0_loss = 0.22305, net0_acc = 0.9585, net0_test_acc = 0.9294,     net1_loss = 0.12197, net1_acc = 0.9795, net1_test_acc = 0.8750
Epoch: [ 54] [1700/4000] time: 31639.4516, dice0 = 0.08664, cross0 = 0.0961, kl0 = 0.0106, exclusion0 = 0.0700,     dice1 = 0.04745, cross1 = 0.0496, kl1 = 0.0047, exclusion1 = 0.0452
1.2177889
Epoch: [ 54] [1750/4000] time: 31646.8742, net0_loss = 0.13067, net0_acc = 0.9818, net0_test_acc = 0.9450,     net1_loss = 0.21590, net1_acc = 0.9609, net1_test_acc = 0.9810
Epoch: [ 54] [1750/4000] time: 31646.8743, dice0 = 0.04794, cross0 = 0.0468, kl0 = 0.0117, exclusion0 = 0.0601,     dice1 = 0.08351, cross1 = 0.1000, kl1 = 0.0041, exclusion1 = 0.0606
1.3002173
Epoch: [ 54] [1800/4000] time: 31654.3237, net0_loss = 0.24312, net0_acc = 0.9626, net0_test_acc = 0.8686,     net1_loss = 0.20244, net1_acc = 0.9660, net1_test_acc = 0.8358
Epoch: [ 54] [1800/4000] time: 31654.3238, dice0 = 0.08398, cross0 = 0.1235, kl0 = 0.0091, exclusion0 = 0.0622,     dice1 = 0.07546, cross1 = 0.0841, kl1 = 0.0159, exclusion1 = 0.0697
1.2217083
Epoch: [ 54] [1850/4000] time: 31661.7479, net0_loss = 0.08203, net0_acc = 0.9874, net0_test_acc = 0.9271,     net1_loss = 0.17797, net1_acc = 0.9700, net1_test_acc = 0.8971
Epoch: [ 54] [1850/4000] time: 31661.7480, dice0 = 0.03133, cross0 = 0.0334, kl0 = 0.0054, exclusion0 = 0.0293,     dice1 = 0.06442, cross1 = 0.0883, kl1 = 0.0056, exclusion1 = 0.0450
1.1567092
Epoch: [ 54] [1900/4000] time: 31669.1351, net0_loss = 0.05056, net0_acc = 0.9933, net0_test_acc = 0.9488,     net1_loss = 0.22861, net1_acc = 0.9592, net1_test_acc = 0.9454
Epoch: [ 54] [1900/4000] time: 31669.1352, dice0 = 0.02056, cross0 = 0.0172, kl0 = 0.0019, exclusion0 = 0.0237,     dice1 = 0.08301, cross1 = 0.1134, kl1 = 0.0079, exclusion1 = 0.0564
1.1590487
Epoch: [ 54] [1950/4000] time: 31676.5454, net0_loss = 0.14167, net0_acc = 0.9774, net0_test_acc = 0.9217,     net1_loss = 0.15307, net1_acc = 0.9751, net1_test_acc = 0.9897
Epoch: [ 54] [1950/4000] time: 31676.5455, dice0 = 0.05361, cross0 = 0.0571, kl0 = 0.0071, exclusion0 = 0.0548,     dice1 = 0.05353, cross1 = 0.0801, kl1 = 0.0047, exclusion1 = 0.0342
1.1300321
Epoch: [ 54] [2000/4000] time: 31683.9581, net0_loss = 0.06293, net0_acc = 0.9907, net0_test_acc = 0.9587,     net1_loss = 0.31000, net1_acc = 0.9538, net1_test_acc = 0.7904
Epoch: [ 54] [2000/4000] time: 31683.9582, dice0 = 0.02371, cross0 = 0.0262, kl0 = 0.0023, exclusion0 = 0.0237,     dice1 = 0.10458, cross1 = 0.1270, kl1 = 0.0316, exclusion1 = 0.1253
1.1557813
Epoch: [ 54] [2050/4000] time: 31691.3580, net0_loss = 0.13501, net0_acc = 0.9743, net0_test_acc = 0.8809,     net1_loss = 0.04839, net1_acc = 0.9920, net1_test_acc = 0.9844
Epoch: [ 54] [2050/4000] time: 31691.3580, dice0 = 0.05395, cross0 = 0.0620, kl0 = 0.0019, exclusion0 = 0.0362,     dice1 = 0.01996, cross1 = 0.0188, kl1 = 0.0011, exclusion1 = 0.0182
1.3479799
Epoch: [ 54] [2100/4000] time: 31698.7635, net0_loss = 0.16086, net0_acc = 0.9753, net0_test_acc = 0.9624,     net1_loss = 0.12325, net1_acc = 0.9804, net1_test_acc = 0.9079
Epoch: [ 54] [2100/4000] time: 31698.7635, dice0 = 0.05886, cross0 = 0.0631, kl0 = 0.0130, exclusion0 = 0.0648,     dice1 = 0.04647, cross1 = 0.0543, kl1 = 0.0052, exclusion1 = 0.0398
1.1542815
Epoch: [ 54] [2150/4000] time: 31705.9458, net0_loss = 0.10446, net0_acc = 0.9834, net0_test_acc = 0.8800,     net1_loss = 0.18153, net1_acc = 0.9729, net1_test_acc = 0.9067
Epoch: [ 54] [2150/4000] time: 31705.9458, dice0 = 0.04140, cross0 = 0.0442, kl0 = 0.0020, exclusion0 = 0.0357,     dice1 = 0.06789, cross1 = 0.0701, kl1 = 0.0120, exclusion1 = 0.0751
1.189967
Epoch: [ 54] [2200/4000] time: 31713.5218, net0_loss = 0.37945, net0_acc = 0.9359, net0_test_acc = 0.9133,     net1_loss = 0.19489, net1_acc = 0.9651, net1_test_acc = 0.7909
Epoch: [ 54] [2200/4000] time: 31713.5219, dice0 = 0.12967, cross0 = 0.2058, kl0 = 0.0072, exclusion0 = 0.0806,     dice1 = 0.07220, cross1 = 0.1005, kl1 = 0.0037, exclusion1 = 0.0407
1.1947078
Epoch: [ 54] [2250/4000] time: 31721.0808, net0_loss = 0.15783, net0_acc = 0.9754, net0_test_acc = 0.8608,     net1_loss = 0.14147, net1_acc = 0.9751, net1_test_acc = 0.9365
Epoch: [ 54] [2250/4000] time: 31721.0809, dice0 = 0.05353, cross0 = 0.0705, kl0 = 0.0127, exclusion0 = 0.0549,     dice1 = 0.05590, cross1 = 0.0594, kl1 = 0.0044, exclusion1 = 0.0480
1.3119423
Epoch: [ 54] [2300/4000] time: 31728.5371, net0_loss = 0.08724, net0_acc = 0.9872, net0_test_acc = 0.9322,     net1_loss = 0.09571, net1_acc = 0.9842, net1_test_acc = 0.9221
Epoch: [ 54] [2300/4000] time: 31728.5371, dice0 = 0.03527, cross0 = 0.0304, kl0 = 0.0028, exclusion0 = 0.0404,     dice1 = 0.03511, cross1 = 0.0480, kl1 = 0.0024, exclusion1 = 0.0227
1.2666196
Epoch: [ 54] [2350/4000] time: 31735.8870, net0_loss = 0.19325, net0_acc = 0.9742, net0_test_acc = 0.9100,     net1_loss = 0.20175, net1_acc = 0.9657, net1_test_acc = 0.9251
Epoch: [ 54] [2350/4000] time: 31735.8871, dice0 = 0.07687, cross0 = 0.0610, kl0 = 0.0107, exclusion0 = 0.1001,     dice1 = 0.07579, cross1 = 0.0924, kl1 = 0.0057, exclusion1 = 0.0614
1.2079701
Epoch: [ 54] [2400/4000] time: 31743.3417, net0_loss = 0.12503, net0_acc = 0.9803, net0_test_acc = 0.9406,     net1_loss = 0.11473, net1_acc = 0.9851, net1_test_acc = 0.9482
Epoch: [ 54] [2400/4000] time: 31743.3418, dice0 = 0.04585, cross0 = 0.0574, kl0 = 0.0050, exclusion0 = 0.0386,     dice1 = 0.04341, cross1 = 0.0358, kl1 = 0.0098, exclusion1 = 0.0611
1.1915957
Epoch: [ 54] [2450/4000] time: 31750.6703, net0_loss = 0.11457, net0_acc = 0.9850, net0_test_acc = 0.9836,     net1_loss = 0.14124, net1_acc = 0.9754, net1_test_acc = 0.9890
Epoch: [ 54] [2450/4000] time: 31750.6704, dice0 = 0.03900, cross0 = 0.0408, kl0 = 0.0143, exclusion0 = 0.0552,     dice1 = 0.05562, cross1 = 0.0619, kl1 = 0.0037, exclusion1 = 0.0437
1.154181
Epoch: [ 54] [2500/4000] time: 31758.0830, net0_loss = 0.28428, net0_acc = 0.9505, net0_test_acc = 0.9644,     net1_loss = 0.11032, net1_acc = 0.9827, net1_test_acc = 0.9551
Epoch: [ 54] [2500/4000] time: 31758.0830, dice0 = 0.10333, cross0 = 0.1408, kl0 = 0.0104, exclusion0 = 0.0700,     dice1 = 0.04232, cross1 = 0.0448, kl1 = 0.0059, exclusion1 = 0.0404
1.1721146
Epoch: [ 54] [2550/4000] time: 31765.3901, net0_loss = 0.37314, net0_acc = 0.9448, net0_test_acc = 0.9757,     net1_loss = 0.16883, net1_acc = 0.9735, net1_test_acc = 0.9277
Epoch: [ 54] [2550/4000] time: 31765.3902, dice0 = 0.13056, cross0 = 0.1491, kl0 = 0.0360, exclusion0 = 0.1510,     dice1 = 0.05855, cross1 = 0.0825, kl1 = 0.0090, exclusion1 = 0.0466
1.1815748
Epoch: [ 54] [2600/4000] time: 31772.9401, net0_loss = 0.18915, net0_acc = 0.9656, net0_test_acc = 0.8913,     net1_loss = 0.14443, net1_acc = 0.9772, net1_test_acc = 0.9874
Epoch: [ 54] [2600/4000] time: 31772.9401, dice0 = 0.07051, cross0 = 0.0940, kl0 = 0.0046, exclusion0 = 0.0447,     dice1 = 0.05543, cross1 = 0.0558, kl1 = 0.0090, exclusion1 = 0.0574
1.1066455
Epoch: [ 54] [2650/4000] time: 31780.3507, net0_loss = 0.13119, net0_acc = 0.9787, net0_test_acc = 0.9302,     net1_loss = 0.28224, net1_acc = 0.9510, net1_test_acc = 0.9909
Epoch: [ 54] [2650/4000] time: 31780.3508, dice0 = 0.04750, cross0 = 0.0514, kl0 = 0.0118, exclusion0 = 0.0528,     dice1 = 0.10802, cross1 = 0.1264, kl1 = 0.0081, exclusion1 = 0.0876
1.1821101
Epoch: [ 54] [2700/4000] time: 31787.8010, net0_loss = 0.21033, net0_acc = 0.9626, net0_test_acc = 0.9055,     net1_loss = 0.29087, net1_acc = 0.9568, net1_test_acc = 0.9082
Epoch: [ 54] [2700/4000] time: 31787.8011, dice0 = 0.07787, cross0 = 0.1059, kl0 = 0.0033, exclusion0 = 0.0499,     dice1 = 0.09834, cross1 = 0.1346, kl1 = 0.0244, exclusion1 = 0.0914
1.1574819
Epoch: [ 54] [2750/4000] time: 31795.0389, net0_loss = 0.09156, net0_acc = 0.9839, net0_test_acc = 0.9621,     net1_loss = 0.14689, net1_acc = 0.9771, net1_test_acc = 0.9564
Epoch: [ 54] [2750/4000] time: 31795.0389, dice0 = 0.03614, cross0 = 0.0391, kl0 = 0.0034, exclusion0 = 0.0292,     dice1 = 0.05326, cross1 = 0.0593, kl1 = 0.0130, exclusion1 = 0.0556
1.1678735
Epoch: [ 54] [2800/4000] time: 31802.6669, net0_loss = 0.14897, net0_acc = 0.9754, net0_test_acc = 0.7579,     net1_loss = 0.12405, net1_acc = 0.9776, net1_test_acc = 0.8975
Epoch: [ 54] [2800/4000] time: 31802.6670, dice0 = 0.05622, cross0 = 0.0716, kl0 = 0.0023, exclusion0 = 0.0399,     dice1 = 0.04833, cross1 = 0.0552, kl1 = 0.0040, exclusion1 = 0.0371
1.096459
Epoch: [ 54] [2850/4000] time: 31810.1182, net0_loss = 0.07666, net0_acc = 0.9888, net0_test_acc = 0.8384,     net1_loss = 0.05083, net1_acc = 0.9913, net1_test_acc = 0.8279
Epoch: [ 54] [2850/4000] time: 31810.1183, dice0 = 0.03106, cross0 = 0.0260, kl0 = 0.0038, exclusion0 = 0.0355,     dice1 = 0.02094, cross1 = 0.0201, kl1 = 0.0011, exclusion1 = 0.0184
1.0955341
Epoch: [ 54] [2900/4000] time: 31817.4927, net0_loss = 0.11311, net0_acc = 0.9815, net0_test_acc = 0.9855,     net1_loss = 0.08217, net1_acc = 0.9875, net1_test_acc = 0.9732
Epoch: [ 54] [2900/4000] time: 31817.4927, dice0 = 0.04312, cross0 = 0.0511, kl0 = 0.0032, exclusion0 = 0.0345,     dice1 = 0.03157, cross1 = 0.0331, kl1 = 0.0036, exclusion1 = 0.0314
1.2102386
Epoch: [ 54] [2950/4000] time: 31824.9421, net0_loss = 0.09220, net0_acc = 0.9855, net0_test_acc = 0.9348,     net1_loss = 0.13710, net1_acc = 0.9798, net1_test_acc = 0.9493
Epoch: [ 54] [2950/4000] time: 31824.9421, dice0 = 0.03461, cross0 = 0.0384, kl0 = 0.0054, exclusion0 = 0.0329,     dice1 = 0.05141, cross1 = 0.0508, kl1 = 0.0110, exclusion1 = 0.0588
1.3160664
Epoch: [ 54] [3000/4000] time: 31832.3371, net0_loss = 0.18214, net0_acc = 0.9713, net0_test_acc = 0.9565,     net1_loss = 0.19951, net1_acc = 0.9701, net1_test_acc = 0.9704
Epoch: [ 54] [3000/4000] time: 31832.3371, dice0 = 0.06251, cross0 = 0.0896, kl0 = 0.0105, exclusion0 = 0.0496,     dice1 = 0.06612, cross1 = 0.0855, kl1 = 0.0225, exclusion1 = 0.0732
1.1780905
Epoch: [ 54] [3050/4000] time: 31839.7419, net0_loss = 0.05261, net0_acc = 0.9912, net0_test_acc = 0.9275,     net1_loss = 0.17595, net1_acc = 0.9735, net1_test_acc = 0.9747
Epoch: [ 54] [3050/4000] time: 31839.7420, dice0 = 0.02016, cross0 = 0.0237, kl0 = 0.0012, exclusion0 = 0.0162,     dice1 = 0.05734, cross1 = 0.0883, kl1 = 0.0116, exclusion1 = 0.0489
1.1720797
Epoch: [ 54] [3100/4000] time: 31847.1415, net0_loss = 0.14362, net0_acc = 0.9788, net0_test_acc = 0.9480,     net1_loss = 0.21934, net1_acc = 0.9614, net1_test_acc = 0.9341
Epoch: [ 54] [3100/4000] time: 31847.1416, dice0 = 0.05527, cross0 = 0.0517, kl0 = 0.0098, exclusion0 = 0.0636,     dice1 = 0.08559, cross1 = 0.0953, kl1 = 0.0061, exclusion1 = 0.0708
1.1266813
Epoch: [ 54] [3150/4000] time: 31854.5640, net0_loss = 0.08727, net0_acc = 0.9852, net0_test_acc = 0.9517,     net1_loss = 0.04907, net1_acc = 0.9932, net1_test_acc = 0.9140
Epoch: [ 54] [3150/4000] time: 31854.5640, dice0 = 0.03438, cross0 = 0.0364, kl0 = 0.0026, exclusion0 = 0.0303,     dice1 = 0.01996, cross1 = 0.0166, kl1 = 0.0017, exclusion1 = 0.0233
1.1850971
Epoch: [ 54] [3200/4000] time: 31861.9763, net0_loss = 0.14849, net0_acc = 0.9731, net0_test_acc = 0.9731,     net1_loss = 0.07555, net1_acc = 0.9883, net1_test_acc = 0.9035
Epoch: [ 54] [3200/4000] time: 31861.9763, dice0 = 0.05598, cross0 = 0.0683, kl0 = 0.0067, exclusion0 = 0.0418,     dice1 = 0.03095, cross1 = 0.0267, kl1 = 0.0021, exclusion1 = 0.0337
1.2266338
Epoch: [ 54] [3250/4000] time: 31869.3488, net0_loss = 0.15470, net0_acc = 0.9762, net0_test_acc = 0.7616,     net1_loss = 0.21402, net1_acc = 0.9641, net1_test_acc = 0.9472
Epoch: [ 54] [3250/4000] time: 31869.3489, dice0 = 0.06069, cross0 = 0.0575, kl0 = 0.0080, exclusion0 = 0.0650,     dice1 = 0.07561, cross1 = 0.1077, kl1 = 0.0066, exclusion1 = 0.0548
1.2304056
Epoch: [ 54] [3300/4000] time: 31876.5815, net0_loss = 0.17386, net0_acc = 0.9730, net0_test_acc = 0.9143,     net1_loss = 0.16134, net1_acc = 0.9741, net1_test_acc = 0.8171
Epoch: [ 54] [3300/4000] time: 31876.5816, dice0 = 0.06319, cross0 = 0.0693, kl0 = 0.0130, exclusion0 = 0.0698,     dice1 = 0.06352, cross1 = 0.0581, kl1 = 0.0094, exclusion1 = 0.0700
1.3300234
Epoch: [ 54] [3350/4000] time: 31884.0727, net0_loss = 0.06061, net0_acc = 0.9908, net0_test_acc = 0.8938,     net1_loss = 0.18082, net1_acc = 0.9708, net1_test_acc = 0.9749
Epoch: [ 54] [3350/4000] time: 31884.0727, dice0 = 0.02382, cross0 = 0.0231, kl0 = 0.0023, exclusion0 = 0.0250,     dice1 = 0.06512, cross1 = 0.0728, kl1 = 0.0167, exclusion1 = 0.0692
1.3617442
Epoch: [ 54] [3400/4000] time: 31891.5580, net0_loss = 0.08361, net0_acc = 0.9860, net0_test_acc = 0.9213,     net1_loss = 0.11570, net1_acc = 0.9806, net1_test_acc = 0.9773
Epoch: [ 54] [3400/4000] time: 31891.5581, dice0 = 0.03309, cross0 = 0.0354, kl0 = 0.0017, exclusion0 = 0.0285,     dice1 = 0.04639, cross1 = 0.0462, kl1 = 0.0038, exclusion1 = 0.0424
1.2012789
Epoch: [ 54] [3450/4000] time: 31898.9686, net0_loss = 0.09552, net0_acc = 0.9824, net0_test_acc = 0.9182,     net1_loss = 0.11058, net1_acc = 0.9845, net1_test_acc = 0.9536
Epoch: [ 54] [3450/4000] time: 31898.9687, dice0 = 0.03799, cross0 = 0.0414, kl0 = 0.0025, exclusion0 = 0.0297,     dice1 = 0.04314, cross1 = 0.0369, kl1 = 0.0073, exclusion1 = 0.0538
1.1612215
Epoch: [ 54] [3500/4000] time: 31906.3946, net0_loss = 0.17757, net0_acc = 0.9679, net0_test_acc = 0.9540,     net1_loss = 0.19470, net1_acc = 0.9664, net1_test_acc = 0.9177
Epoch: [ 54] [3500/4000] time: 31906.3947, dice0 = 0.06656, cross0 = 0.0894, kl0 = 0.0033, exclusion0 = 0.0399,     dice1 = 0.07631, cross1 = 0.0854, kl1 = 0.0063, exclusion1 = 0.0597
1.1351836
Epoch: [ 54] [3550/4000] time: 31913.7792, net0_loss = 0.09104, net0_acc = 0.9852, net0_test_acc = 0.7720,     net1_loss = 0.14464, net1_acc = 0.9765, net1_test_acc = 0.8264
Epoch: [ 54] [3550/4000] time: 31913.7793, dice0 = 0.03548, cross0 = 0.0387, kl0 = 0.0024, exclusion0 = 0.0312,     dice1 = 0.05570, cross1 = 0.0635, kl1 = 0.0045, exclusion1 = 0.0463
1.1469005
Epoch: [ 54] [3600/4000] time: 31921.1840, net0_loss = 0.07588, net0_acc = 0.9874, net0_test_acc = 0.8036,     net1_loss = 0.28215, net1_acc = 0.9604, net1_test_acc = 0.8242
Epoch: [ 54] [3600/4000] time: 31921.1841, dice0 = 0.02928, cross0 = 0.0356, kl0 = 0.0017, exclusion0 = 0.0203,     dice1 = 0.09447, cross1 = 0.1018, kl1 = 0.0373, exclusion1 = 0.1345
1.1467197
Epoch: [ 54] [3650/4000] time: 31928.6155, net0_loss = 0.14929, net0_acc = 0.9787, net0_test_acc = 0.9779,     net1_loss = 0.04691, net1_acc = 0.9921, net1_test_acc = 0.9570
Epoch: [ 54] [3650/4000] time: 31928.6156, dice0 = 0.05503, cross0 = 0.0571, kl0 = 0.0110, exclusion0 = 0.0633,     dice1 = 0.01958, cross1 = 0.0189, kl1 = 0.0009, exclusion1 = 0.0159
1.2188406
Epoch: [ 54] [3700/4000] time: 31935.9753, net0_loss = 0.23525, net0_acc = 0.9586, net0_test_acc = 0.9897,     net1_loss = 0.07962, net1_acc = 0.9868, net1_test_acc = 0.9502
Epoch: [ 54] [3700/4000] time: 31935.9754, dice0 = 0.09179, cross0 = 0.1034, kl0 = 0.0050, exclusion0 = 0.0750,     dice1 = 0.03118, cross1 = 0.0317, kl1 = 0.0038, exclusion1 = 0.0297
1.3629947
Epoch: [ 54] [3750/4000] time: 31943.2867, net0_loss = 0.21936, net0_acc = 0.9639, net0_test_acc = 0.9482,     net1_loss = 0.30862, net1_acc = 0.9523, net1_test_acc = 0.7831
Epoch: [ 54] [3750/4000] time: 31943.2868, dice0 = 0.07696, cross0 = 0.1069, kl0 = 0.0090, exclusion0 = 0.0620,     dice1 = 0.10807, cross1 = 0.1343, kl1 = 0.0203, exclusion1 = 0.1121
1.0458744
Epoch: [ 54] [3800/4000] time: 31950.7687, net0_loss = 0.18573, net0_acc = 0.9671, net0_test_acc = 0.9773,     net1_loss = 0.22931, net1_acc = 0.9644, net1_test_acc = 0.8902
Epoch: [ 54] [3800/4000] time: 31950.7688, dice0 = 0.07259, cross0 = 0.0848, kl0 = 0.0040, exclusion0 = 0.0527,     dice1 = 0.07959, cross1 = 0.1167, kl1 = 0.0072, exclusion1 = 0.0589
1.2937992
Epoch: [ 54] [3850/4000] time: 31958.1734, net0_loss = 0.22813, net0_acc = 0.9634, net0_test_acc = 0.9531,     net1_loss = 0.13327, net1_acc = 0.9796, net1_test_acc = 0.9651
Epoch: [ 54] [3850/4000] time: 31958.1735, dice0 = 0.08234, cross0 = 0.1038, kl0 = 0.0115, exclusion0 = 0.0725,     dice1 = 0.05281, cross1 = 0.0477, kl1 = 0.0057, exclusion1 = 0.0598
1.1985317
Epoch: [ 54] [3900/4000] time: 31965.6094, net0_loss = 0.14570, net0_acc = 0.9778, net0_test_acc = 0.9422,     net1_loss = 0.16664, net1_acc = 0.9723, net1_test_acc = 0.9816
Epoch: [ 54] [3900/4000] time: 31965.6095, dice0 = 0.05047, cross0 = 0.0651, kl0 = 0.0104, exclusion0 = 0.0499,     dice1 = 0.06469, cross1 = 0.0664, kl1 = 0.0088, exclusion1 = 0.0623
1.1588662
Epoch: [ 54] [3950/4000] time: 31972.9564, net0_loss = 0.11222, net0_acc = 0.9805, net0_test_acc = 0.8675,     net1_loss = 0.22043, net1_acc = 0.9624, net1_test_acc = 0.9523
Epoch: [ 54] [3950/4000] time: 31972.9565, dice0 = 0.04158, cross0 = 0.0574, kl0 = 0.0021, exclusion0 = 0.0244,     dice1 = 0.08241, cross1 = 0.1041, kl1 = 0.0067, exclusion1 = 0.0611
1.1735196
Epoch: [ 55] [  0/4000] time: 31980.3339, net0_loss = 0.09407, net0_acc = 0.9848, net0_test_acc = 0.9035,     net1_loss = 0.07470, net1_acc = 0.9884, net1_test_acc = 0.9636
Epoch: [ 55] [  0/4000] time: 31980.3339, dice0 = 0.03550, cross0 = 0.0438, kl0 = 0.0020, exclusion0 = 0.0276,     dice1 = 0.02865, cross1 = 0.0291, kl1 = 0.0043, exclusion1 = 0.0295
1.0936332
Epoch: [ 55] [ 50/4000] time: 31987.8003, net0_loss = 0.28302, net0_acc = 0.9505, net0_test_acc = 0.9549,     net1_loss = 0.14333, net1_acc = 0.9768, net1_test_acc = 0.9675
Epoch: [ 55] [ 50/4000] time: 31987.8004, dice0 = 0.10563, cross0 = 0.1288, kl0 = 0.0130, exclusion0 = 0.0842,     dice1 = 0.05067, cross1 = 0.0642, kl1 = 0.0102, exclusion1 = 0.0467
1.2927382
Epoch: [ 55] [100/4000] time: 31995.0982, net0_loss = 0.20287, net0_acc = 0.9671, net0_test_acc = 0.9143,     net1_loss = 0.05287, net1_acc = 0.9930, net1_test_acc = 0.9679
Epoch: [ 55] [100/4000] time: 31995.0983, dice0 = 0.07321, cross0 = 0.0928, kl0 = 0.0108, exclusion0 = 0.0628,     dice1 = 0.02059, cross1 = 0.0176, kl1 = 0.0035, exclusion1 = 0.0259
1.1568124
Epoch: [ 55] [150/4000] time: 32002.6753, net0_loss = 0.09962, net0_acc = 0.9832, net0_test_acc = 0.9806,     net1_loss = 0.24458, net1_acc = 0.9634, net1_test_acc = 0.9530
Epoch: [ 55] [150/4000] time: 32002.6754, dice0 = 0.03781, cross0 = 0.0460, kl0 = 0.0026, exclusion0 = 0.0290,     dice1 = 0.08614, cross1 = 0.0906, kl1 = 0.0278, exclusion1 = 0.1078
1.2781892
Epoch: [ 55] [200/4000] time: 32010.0031, net0_loss = 0.18271, net0_acc = 0.9709, net0_test_acc = 0.7505,     net1_loss = 0.04587, net1_acc = 0.9935, net1_test_acc = 0.9272
Epoch: [ 55] [200/4000] time: 32010.0032, dice0 = 0.06450, cross0 = 0.0856, kl0 = 0.0100, exclusion0 = 0.0553,     dice1 = 0.01776, cross1 = 0.0190, kl1 = 0.0017, exclusion1 = 0.0165
1.1230237
Epoch: [ 55] [250/4000] time: 32017.4705, net0_loss = 0.17826, net0_acc = 0.9697, net0_test_acc = 0.9450,     net1_loss = 0.16566, net1_acc = 0.9763, net1_test_acc = 0.9421
Epoch: [ 55] [250/4000] time: 32017.4706, dice0 = 0.06789, cross0 = 0.0786, kl0 = 0.0062, exclusion0 = 0.0572,     dice1 = 0.06003, cross1 = 0.0631, kl1 = 0.0142, exclusion1 = 0.0710
1.1488855
Epoch: [ 55] [300/4000] time: 32024.8489, net0_loss = 0.13054, net0_acc = 0.9797, net0_test_acc = 0.9376,     net1_loss = 0.34351, net1_acc = 0.9436, net1_test_acc = 0.9366
Epoch: [ 55] [300/4000] time: 32024.8489, dice0 = 0.04994, cross0 = 0.0467, kl0 = 0.0088, exclusion0 = 0.0590,     dice1 = 0.11538, cross1 = 0.1809, kl1 = 0.0102, exclusion1 = 0.0842
1.2086511
Epoch: [ 55] [350/4000] time: 32032.3248, net0_loss = 0.24129, net0_acc = 0.9601, net0_test_acc = 0.9422,     net1_loss = 0.15848, net1_acc = 0.9722, net1_test_acc = 0.9362
Epoch: [ 55] [350/4000] time: 32032.3248, dice0 = 0.08667, cross0 = 0.1081, kl0 = 0.0151, exclusion0 = 0.0779,     dice1 = 0.05917, cross1 = 0.0794, kl1 = 0.0035, exclusion1 = 0.0363
1.1763165
Epoch: [ 55] [400/4000] time: 32039.6938, net0_loss = 0.33723, net0_acc = 0.9476, net0_test_acc = 0.8163,     net1_loss = 0.11912, net1_acc = 0.9826, net1_test_acc = 0.9379
Epoch: [ 55] [400/4000] time: 32039.6938, dice0 = 0.11414, cross0 = 0.1710, kl0 = 0.0109, exclusion0 = 0.0932,     dice1 = 0.04726, cross1 = 0.0425, kl1 = 0.0065, exclusion1 = 0.0522
1.1471517
Epoch: [ 55] [450/4000] time: 32047.1274, net0_loss = 0.05863, net0_acc = 0.9919, net0_test_acc = 0.9048,     net1_loss = 0.19646, net1_acc = 0.9664, net1_test_acc = 0.9465
Epoch: [ 55] [450/4000] time: 32047.1275, dice0 = 0.02301, cross0 = 0.0204, kl0 = 0.0036, exclusion0 = 0.0269,     dice1 = 0.07762, cross1 = 0.0779, kl1 = 0.0097, exclusion1 = 0.0723
1.141265
Epoch: [ 55] [500/4000] time: 32054.4974, net0_loss = 0.15868, net0_acc = 0.9721, net0_test_acc = 0.9551,     net1_loss = 0.11117, net1_acc = 0.9821, net1_test_acc = 0.9365
Epoch: [ 55] [500/4000] time: 32054.4975, dice0 = 0.06219, cross0 = 0.0669, kl0 = 0.0065, exclusion0 = 0.0527,     dice1 = 0.04520, cross1 = 0.0426, kl1 = 0.0043, exclusion1 = 0.0424
1.1359879
Epoch: [ 55] [550/4000] time: 32061.9038, net0_loss = 0.22915, net0_acc = 0.9631, net0_test_acc = 0.7828,     net1_loss = 0.17779, net1_acc = 0.9707, net1_test_acc = 0.9272
Epoch: [ 55] [550/4000] time: 32061.9039, dice0 = 0.08142, cross0 = 0.1036, kl0 = 0.0146, exclusion0 = 0.0737,     dice1 = 0.06742, cross1 = 0.0732, kl1 = 0.0099, exclusion1 = 0.0644
1.1409409
Epoch: [ 55] [600/4000] time: 32069.2964, net0_loss = 0.47256, net0_acc = 0.9291, net0_test_acc = 0.9685,     net1_loss = 0.21222, net1_acc = 0.9649, net1_test_acc = 0.9525
Epoch: [ 55] [600/4000] time: 32069.2965, dice0 = 0.14170, cross0 = 0.2349, kl0 = 0.0446, exclusion0 = 0.1473,     dice1 = 0.07647, cross1 = 0.1001, kl1 = 0.0102, exclusion1 = 0.0610
1.1352063
Epoch: [ 55] [650/4000] time: 32076.7165, net0_loss = 0.14537, net0_acc = 0.9780, net0_test_acc = 0.9404,     net1_loss = 0.22345, net1_acc = 0.9635, net1_test_acc = 0.9889
Epoch: [ 55] [650/4000] time: 32076.7166, dice0 = 0.05718, cross0 = 0.0530, kl0 = 0.0086, exclusion0 = 0.0619,     dice1 = 0.07942, cross1 = 0.1092, kl1 = 0.0071, exclusion1 = 0.0625
1.0652796
Epoch: [ 55] [700/4000] time: 32084.0788, net0_loss = 0.12287, net0_acc = 0.9801, net0_test_acc = 0.9617,     net1_loss = 0.15607, net1_acc = 0.9718, net1_test_acc = 0.9002
Epoch: [ 55] [700/4000] time: 32084.0788, dice0 = 0.04911, cross0 = 0.0473, kl0 = 0.0048, exclusion0 = 0.0481,     dice1 = 0.05945, cross1 = 0.0746, kl1 = 0.0032, exclusion1 = 0.0409
1.1492009
Epoch: [ 55] [750/4000] time: 32091.4820, net0_loss = 0.12402, net0_acc = 0.9800, net0_test_acc = 0.8607,     net1_loss = 0.15116, net1_acc = 0.9735, net1_test_acc = 0.9094
Epoch: [ 55] [750/4000] time: 32091.4821, dice0 = 0.04672, cross0 = 0.0564, kl0 = 0.0049, exclusion0 = 0.0370,     dice1 = 0.06094, cross1 = 0.0610, kl1 = 0.0037, exclusion1 = 0.0548
1.1154199
Epoch: [ 55] [800/4000] time: 32098.9077, net0_loss = 0.07542, net0_acc = 0.9899, net0_test_acc = 0.8326,     net1_loss = 0.10719, net1_acc = 0.9848, net1_test_acc = 0.9551
Epoch: [ 55] [800/4000] time: 32098.9078, dice0 = 0.03003, cross0 = 0.0272, kl0 = 0.0031, exclusion0 = 0.0332,     dice1 = 0.03475, cross1 = 0.0393, kl1 = 0.0160, exclusion1 = 0.0502
1.0943859
Epoch: [ 55] [850/4000] time: 32106.2396, net0_loss = 0.19884, net0_acc = 0.9675, net0_test_acc = 0.9766,     net1_loss = 0.34538, net1_acc = 0.9448, net1_test_acc = 0.8610
Epoch: [ 55] [850/4000] time: 32106.2397, dice0 = 0.07709, cross0 = 0.0753, kl0 = 0.0114, exclusion0 = 0.0814,     dice1 = 0.11140, cross1 = 0.1688, kl1 = 0.0297, exclusion1 = 0.1008
1.2758783
Epoch: [ 55] [900/4000] time: 32113.7043, net0_loss = 0.13540, net0_acc = 0.9770, net0_test_acc = 0.9124,     net1_loss = 0.06139, net1_acc = 0.9930, net1_test_acc = 0.9605
Epoch: [ 55] [900/4000] time: 32113.7044, dice0 = 0.05344, cross0 = 0.0571, kl0 = 0.0057, exclusion0 = 0.0440,     dice1 = 0.02388, cross1 = 0.0169, kl1 = 0.0053, exclusion1 = 0.0360
1.223457
Epoch: [ 55] [950/4000] time: 32121.1456, net0_loss = 0.14685, net0_acc = 0.9790, net0_test_acc = 0.8936,     net1_loss = 0.08561, net1_acc = 0.9875, net1_test_acc = 0.9246
Epoch: [ 55] [950/4000] time: 32121.1457, dice0 = 0.05382, cross0 = 0.0478, kl0 = 0.0147, exclusion0 = 0.0757,     dice1 = 0.03160, cross1 = 0.0329, kl1 = 0.0066, exclusion1 = 0.0356
1.1994443
Epoch: [ 55] [1000/4000] time: 32128.4996, net0_loss = 0.12247, net0_acc = 0.9819, net0_test_acc = 0.9541,     net1_loss = 0.06739, net1_acc = 0.9906, net1_test_acc = 0.8816
Epoch: [ 55] [1000/4000] time: 32128.4997, dice0 = 0.04343, cross0 = 0.0519, kl0 = 0.0087, exclusion0 = 0.0456,     dice1 = 0.02664, cross1 = 0.0240, kl1 = 0.0033, exclusion1 = 0.0302
1.1925355
Epoch: [ 55] [1050/4000] time: 32135.9394, net0_loss = 0.08752, net0_acc = 0.9873, net0_test_acc = 0.9663,     net1_loss = 0.18519, net1_acc = 0.9715, net1_test_acc = 0.9504
Epoch: [ 55] [1050/4000] time: 32135.9394, dice0 = 0.03380, cross0 = 0.0312, kl0 = 0.0053, exclusion0 = 0.0398,     dice1 = 0.07120, cross1 = 0.0760, kl1 = 0.0083, exclusion1 = 0.0676
1.1201861
Epoch: [ 55] [1100/4000] time: 32143.2686, net0_loss = 0.10821, net0_acc = 0.9831, net0_test_acc = 0.9417,     net1_loss = 0.32964, net1_acc = 0.9478, net1_test_acc = 0.9525
Epoch: [ 55] [1100/4000] time: 32143.2687, dice0 = 0.04230, cross0 = 0.0391, kl0 = 0.0066, exclusion0 = 0.0469,     dice1 = 0.10595, cross1 = 0.1865, kl1 = 0.0134, exclusion1 = 0.0609
1.2304358
Epoch: [ 55] [1150/4000] time: 32150.8099, net0_loss = 0.08778, net0_acc = 0.9855, net0_test_acc = 0.9413,     net1_loss = 0.20506, net1_acc = 0.9649, net1_test_acc = 0.7792
Epoch: [ 55] [1150/4000] time: 32150.8099, dice0 = 0.03515, cross0 = 0.0347, kl0 = 0.0032, exclusion0 = 0.0327,     dice1 = 0.07503, cross1 = 0.1000, kl1 = 0.0066, exclusion1 = 0.0534
1.085397
Epoch: [ 55] [1200/4000] time: 32158.0019, net0_loss = 0.27693, net0_acc = 0.9541, net0_test_acc = 0.8651,     net1_loss = 0.26864, net1_acc = 0.9534, net1_test_acc = 0.9111
Epoch: [ 55] [1200/4000] time: 32158.0021, dice0 = 0.09628, cross0 = 0.1443, kl0 = 0.0072, exclusion0 = 0.0656,     dice1 = 0.09239, cross1 = 0.1349, kl1 = 0.0134, exclusion1 = 0.0693
1.2019398
Epoch: [ 55] [1250/4000] time: 32165.1794, net0_loss = 0.19244, net0_acc = 0.9710, net0_test_acc = 0.9121,     net1_loss = 0.05540, net1_acc = 0.9914, net1_test_acc = 0.7869
Epoch: [ 55] [1250/4000] time: 32165.1795, dice0 = 0.06714, cross0 = 0.0793, kl0 = 0.0195, exclusion0 = 0.0725,     dice1 = 0.02203, cross1 = 0.0207, kl1 = 0.0024, exclusion1 = 0.0231
1.2121556
Epoch: [ 55] [1300/4000] time: 32172.7033, net0_loss = 0.22546, net0_acc = 0.9629, net0_test_acc = 0.9355,     net1_loss = 0.20954, net1_acc = 0.9684, net1_test_acc = 0.9298
Epoch: [ 55] [1300/4000] time: 32172.7034, dice0 = 0.08224, cross0 = 0.0986, kl0 = 0.0138, exclusion0 = 0.0754,     dice1 = 0.07532, cross1 = 0.0793, kl1 = 0.0215, exclusion1 = 0.0884
1.2721217
Epoch: [ 55] [1350/4000] time: 32180.4700, net0_loss = 0.15772, net0_acc = 0.9767, net0_test_acc = 0.9165,     net1_loss = 0.19071, net1_acc = 0.9710, net1_test_acc = 0.9339
Epoch: [ 55] [1350/4000] time: 32180.4701, dice0 = 0.05494, cross0 = 0.0595, kl0 = 0.0172, exclusion0 = 0.0693,     dice1 = 0.07481, cross1 = 0.0716, kl1 = 0.0097, exclusion1 = 0.0790
1.1978487
Epoch: [ 55] [1400/4000] time: 32187.9391, net0_loss = 0.04587, net0_acc = 0.9927, net0_test_acc = 0.9701,     net1_loss = 0.10369, net1_acc = 0.9847, net1_test_acc = 0.9376
Epoch: [ 55] [1400/4000] time: 32187.9392, dice0 = 0.01887, cross0 = 0.0172, kl0 = 0.0012, exclusion0 = 0.0185,     dice1 = 0.04132, cross1 = 0.0351, kl1 = 0.0061, exclusion1 = 0.0485
1.118654
Epoch: [ 55] [1450/4000] time: 32195.3569, net0_loss = 0.13171, net0_acc = 0.9787, net0_test_acc = 0.8992,     net1_loss = 0.15981, net1_acc = 0.9740, net1_test_acc = 0.8805
Epoch: [ 55] [1450/4000] time: 32195.3570, dice0 = 0.05181, cross0 = 0.0520, kl0 = 0.0055, exclusion0 = 0.0503,     dice1 = 0.05879, cross1 = 0.0675, kl1 = 0.0103, exclusion1 = 0.0566
1.1616187
Epoch: [ 55] [1500/4000] time: 32202.7259, net0_loss = 0.16728, net0_acc = 0.9745, net0_test_acc = 0.9509,     net1_loss = 0.18673, net1_acc = 0.9701, net1_test_acc = 0.9809
Epoch: [ 55] [1500/4000] time: 32202.7259, dice0 = 0.05866, cross0 = 0.0718, kl0 = 0.0135, exclusion0 = 0.0602,     dice1 = 0.06826, cross1 = 0.0712, kl1 = 0.0168, exclusion1 = 0.0777
1.0840886
Epoch: [ 55] [1550/4000] time: 32210.0919, net0_loss = 0.07391, net0_acc = 0.9886, net0_test_acc = 0.8794,     net1_loss = 0.07214, net1_acc = 0.9892, net1_test_acc = 0.8504
Epoch: [ 55] [1550/4000] time: 32210.0920, dice0 = 0.02821, cross0 = 0.0317, kl0 = 0.0031, exclusion0 = 0.0249,     dice1 = 0.02929, cross1 = 0.0252, kl1 = 0.0043, exclusion1 = 0.0310
1.2344142
Epoch: [ 55] [1600/4000] time: 32217.4965, net0_loss = 0.18489, net0_acc = 0.9714, net0_test_acc = 0.9295,     net1_loss = 0.17169, net1_acc = 0.9721, net1_test_acc = 0.9141
Epoch: [ 55] [1600/4000] time: 32217.4965, dice0 = 0.06900, cross0 = 0.0818, kl0 = 0.0063, exclusion0 = 0.0619,     dice1 = 0.06588, cross1 = 0.0711, kl1 = 0.0074, exclusion1 = 0.0621
1.2516571
Epoch: [ 55] [1650/4000] time: 32224.9061, net0_loss = 0.12865, net0_acc = 0.9795, net0_test_acc = 0.9411,     net1_loss = 0.26294, net1_acc = 0.9589, net1_test_acc = 0.9440
Epoch: [ 55] [1650/4000] time: 32224.9062, dice0 = 0.04956, cross0 = 0.0491, kl0 = 0.0087, exclusion0 = 0.0513,     dice1 = 0.09144, cross1 = 0.1130, kl1 = 0.0203, exclusion1 = 0.0968
1.1740123
Epoch: [ 55] [1700/4000] time: 32232.3007, net0_loss = 0.28980, net0_acc = 0.9561, net0_test_acc = 0.9252,     net1_loss = 0.19023, net1_acc = 0.9714, net1_test_acc = 0.9902
Epoch: [ 55] [1700/4000] time: 32232.3008, dice0 = 0.09880, cross0 = 0.1358, kl0 = 0.0199, exclusion0 = 0.0904,     dice1 = 0.06986, cross1 = 0.0691, kl1 = 0.0161, exclusion1 = 0.0863
1.2707429
Epoch: [ 55] [1750/4000] time: 32239.6869, net0_loss = 0.16507, net0_acc = 0.9761, net0_test_acc = 0.9477,     net1_loss = 0.24950, net1_acc = 0.9584, net1_test_acc = 0.7863
Epoch: [ 55] [1750/4000] time: 32239.6870, dice0 = 0.06406, cross0 = 0.0576, kl0 = 0.0102, exclusion0 = 0.0767,     dice1 = 0.09094, cross1 = 0.1029, kl1 = 0.0210, exclusion1 = 0.0904
1.0775104
Epoch: [ 55] [1800/4000] time: 32247.1297, net0_loss = 0.15828, net0_acc = 0.9755, net0_test_acc = 0.8812,     net1_loss = 0.10445, net1_acc = 0.9827, net1_test_acc = 0.9844
Epoch: [ 55] [1800/4000] time: 32247.1297, dice0 = 0.05830, cross0 = 0.0661, kl0 = 0.0089, exclusion0 = 0.0589,     dice1 = 0.04036, cross1 = 0.0446, kl1 = 0.0034, exclusion1 = 0.0356
1.0869985
Epoch: [ 55] [1850/4000] time: 32254.4712, net0_loss = 0.15255, net0_acc = 0.9749, net0_test_acc = 0.9518,     net1_loss = 0.15648, net1_acc = 0.9721, net1_test_acc = 0.9250
Epoch: [ 55] [1850/4000] time: 32254.4713, dice0 = 0.05572, cross0 = 0.0659, kl0 = 0.0092, exclusion0 = 0.0527,     dice1 = 0.06125, cross1 = 0.0673, kl1 = 0.0055, exclusion1 = 0.0504
1.233565
Epoch: [ 55] [1900/4000] time: 32261.9175, net0_loss = 0.20864, net0_acc = 0.9661, net0_test_acc = 0.8544,     net1_loss = 0.04478, net1_acc = 0.9940, net1_test_acc = 0.9050
Epoch: [ 55] [1900/4000] time: 32261.9176, dice0 = 0.08048, cross0 = 0.0878, kl0 = 0.0082, exclusion0 = 0.0726,     dice1 = 0.01757, cross1 = 0.0169, kl1 = 0.0018, exclusion1 = 0.0189
1.1242535
Epoch: [ 55] [1950/4000] time: 32269.2447, net0_loss = 0.12917, net0_acc = 0.9817, net0_test_acc = 0.9102,     net1_loss = 0.10750, net1_acc = 0.9836, net1_test_acc = 0.8356
Epoch: [ 55] [1950/4000] time: 32269.2448, dice0 = 0.04912, cross0 = 0.0444, kl0 = 0.0130, exclusion0 = 0.0583,     dice1 = 0.04140, cross1 = 0.0423, kl1 = 0.0050, exclusion1 = 0.0427
1.14737
Epoch: [ 55] [2000/4000] time: 32276.6218, net0_loss = 0.08717, net0_acc = 0.9845, net0_test_acc = 0.9081,     net1_loss = 0.09188, net1_acc = 0.9868, net1_test_acc = 0.9240
Epoch: [ 55] [2000/4000] time: 32276.6218, dice0 = 0.03620, cross0 = 0.0340, kl0 = 0.0029, exclusion0 = 0.0311,     dice1 = 0.03543, cross1 = 0.0336, kl1 = 0.0046, exclusion1 = 0.0410
1.1353796
Epoch: [ 55] [2050/4000] time: 32284.0322, net0_loss = 0.30880, net0_acc = 0.9485, net0_test_acc = 0.9341,     net1_loss = 0.14123, net1_acc = 0.9779, net1_test_acc = 0.9210
Epoch: [ 55] [2050/4000] time: 32284.0323, dice0 = 0.10535, cross0 = 0.1645, kl0 = 0.0110, exclusion0 = 0.0669,     dice1 = 0.05292, cross1 = 0.0554, kl1 = 0.0090, exclusion1 = 0.0569
1.1527747
Epoch: [ 55] [2100/4000] time: 32291.4597, net0_loss = 0.18290, net0_acc = 0.9706, net0_test_acc = 0.9220,     net1_loss = 0.26270, net1_acc = 0.9616, net1_test_acc = 0.9235
Epoch: [ 55] [2100/4000] time: 32291.4598, dice0 = 0.06679, cross0 = 0.0739, kl0 = 0.0152, exclusion0 = 0.0692,     dice1 = 0.09300, cross1 = 0.1094, kl1 = 0.0233, exclusion1 = 0.0973
1.081233
Epoch: [ 55] [2150/4000] time: 32298.8356, net0_loss = 0.21813, net0_acc = 0.9617, net0_test_acc = 0.9379,     net1_loss = 0.19718, net1_acc = 0.9707, net1_test_acc = 0.9561
Epoch: [ 55] [2150/4000] time: 32298.8356, dice0 = 0.08171, cross0 = 0.1076, kl0 = 0.0039, exclusion0 = 0.0537,     dice1 = 0.06779, cross1 = 0.0914, kl1 = 0.0101, exclusion1 = 0.0658
1.142511
Epoch: [ 55] [2200/4000] time: 32306.2408, net0_loss = 0.03493, net0_acc = 0.9944, net0_test_acc = 0.9780,     net1_loss = 0.06035, net1_acc = 0.9924, net1_test_acc = 0.9890
Epoch: [ 55] [2200/4000] time: 32306.2409, dice0 = 0.01388, cross0 = 0.0138, kl0 = 0.0010, exclusion0 = 0.0135,     dice1 = 0.02408, cross1 = 0.0185, kl1 = 0.0031, exclusion1 = 0.0325
1.1445024
Epoch: [ 55] [2250/4000] time: 32313.6692, net0_loss = 0.09826, net0_acc = 0.9832, net0_test_acc = 0.9608,     net1_loss = 0.14447, net1_acc = 0.9767, net1_test_acc = 0.9548
Epoch: [ 55] [2250/4000] time: 32313.6693, dice0 = 0.03778, cross0 = 0.0453, kl0 = 0.0022, exclusion0 = 0.0281,     dice1 = 0.05834, cross1 = 0.0555, kl1 = 0.0037, exclusion1 = 0.0577
1.1758977
Epoch: [ 55] [2300/4000] time: 32321.0367, net0_loss = 0.19594, net0_acc = 0.9661, net0_test_acc = 0.9750,     net1_loss = 0.08664, net1_acc = 0.9864, net1_test_acc = 0.9299
Epoch: [ 55] [2300/4000] time: 32321.0368, dice0 = 0.07692, cross0 = 0.0836, kl0 = 0.0053, exclusion0 = 0.0656,     dice1 = 0.03539, cross1 = 0.0319, kl1 = 0.0021, exclusion1 = 0.0366
1.1545055
Epoch: [ 55] [2350/4000] time: 32328.4925, net0_loss = 0.17379, net0_acc = 0.9687, net0_test_acc = 0.9102,     net1_loss = 0.56118, net1_acc = 0.9045, net1_test_acc = 0.9876
Epoch: [ 55] [2350/4000] time: 32328.4926, dice0 = 0.06731, cross0 = 0.0802, kl0 = 0.0049, exclusion0 = 0.0477,     dice1 = 0.17978, cross1 = 0.3200, kl1 = 0.0167, exclusion1 = 0.1061
1.2196618
Epoch: [ 55] [2400/4000] time: 32335.8854, net0_loss = 0.25974, net0_acc = 0.9567, net0_test_acc = 0.9209,     net1_loss = 0.07335, net1_acc = 0.9893, net1_test_acc = 0.9901
Epoch: [ 55] [2400/4000] time: 32335.8855, dice0 = 0.09837, cross0 = 0.1056, kl0 = 0.0170, exclusion0 = 0.0945,     dice1 = 0.02888, cross1 = 0.0271, kl1 = 0.0031, exclusion1 = 0.0317
1.1824517
Epoch: [ 55] [2450/4000] time: 32343.2963, net0_loss = 0.17693, net0_acc = 0.9724, net0_test_acc = 0.8979,     net1_loss = 0.21705, net1_acc = 0.9660, net1_test_acc = 0.9131
Epoch: [ 55] [2450/4000] time: 32343.2964, dice0 = 0.06294, cross0 = 0.0823, kl0 = 0.0078, exclusion0 = 0.0555,     dice1 = 0.08209, cross1 = 0.0830, kl1 = 0.0172, exclusion1 = 0.0867
1.066601
Epoch: [ 55] [2500/4000] time: 32350.6476, net0_loss = 0.13348, net0_acc = 0.9807, net0_test_acc = 0.9665,     net1_loss = 0.13184, net1_acc = 0.9799, net1_test_acc = 0.9594
Epoch: [ 55] [2500/4000] time: 32350.6477, dice0 = 0.04727, cross0 = 0.0449, kl0 = 0.0154, exclusion0 = 0.0672,     dice1 = 0.04493, cross1 = 0.0669, kl1 = 0.0068, exclusion1 = 0.0332
1.2031647
Epoch: [ 55] [2550/4000] time: 32358.1061, net0_loss = 0.17966, net0_acc = 0.9733, net0_test_acc = 0.7658,     net1_loss = 0.15609, net1_acc = 0.9788, net1_test_acc = 0.9033
Epoch: [ 55] [2550/4000] time: 32358.1062, dice0 = 0.06581, cross0 = 0.0639, kl0 = 0.0158, exclusion0 = 0.0842,     dice1 = 0.05741, cross1 = 0.0579, kl1 = 0.0116, exclusion1 = 0.0700
1.2199645
Epoch: [ 55] [2600/4000] time: 32365.5026, net0_loss = 0.20331, net0_acc = 0.9701, net0_test_acc = 0.8356,     net1_loss = 0.13352, net1_acc = 0.9807, net1_test_acc = 0.8222
Epoch: [ 55] [2600/4000] time: 32365.5026, dice0 = 0.07771, cross0 = 0.0797, kl0 = 0.0102, exclusion0 = 0.0817,     dice1 = 0.05214, cross1 = 0.0483, kl1 = 0.0099, exclusion1 = 0.0562
1.1578176
Epoch: [ 55] [2650/4000] time: 32372.8975, net0_loss = 0.06807, net0_acc = 0.9892, net0_test_acc = 0.9842,     net1_loss = 0.11540, net1_acc = 0.9813, net1_test_acc = 0.9657
Epoch: [ 55] [2650/4000] time: 32372.8976, dice0 = 0.02681, cross0 = 0.0271, kl0 = 0.0022, exclusion0 = 0.0262,     dice1 = 0.04248, cross1 = 0.0497, kl1 = 0.0061, exclusion1 = 0.0404
1.0808285
Epoch: [ 55] [2700/4000] time: 32380.3311, net0_loss = 0.10501, net0_acc = 0.9820, net0_test_acc = 0.9325,     net1_loss = 0.11112, net1_acc = 0.9809, net1_test_acc = 0.9427
Epoch: [ 55] [2700/4000] time: 32380.3311, dice0 = 0.04118, cross0 = 0.0471, kl0 = 0.0022, exclusion0 = 0.0312,     dice1 = 0.04348, cross1 = 0.0485, kl1 = 0.0034, exclusion1 = 0.0349
1.1713736
Epoch: [ 55] [2750/4000] time: 32387.6692, net0_loss = 0.17708, net0_acc = 0.9701, net0_test_acc = 0.9500,     net1_loss = 0.06824, net1_acc = 0.9885, net1_test_acc = 0.9555
Epoch: [ 55] [2750/4000] time: 32387.6692, dice0 = 0.06759, cross0 = 0.0795, kl0 = 0.0051, exclusion0 = 0.0549,     dice1 = 0.02604, cross1 = 0.0315, kl1 = 0.0016, exclusion1 = 0.0198
1.139896
Epoch: [ 55] [2800/4000] time: 32395.0193, net0_loss = 0.14285, net0_acc = 0.9747, net0_test_acc = 0.8995,     net1_loss = 0.14808, net1_acc = 0.9763, net1_test_acc = 0.9767
Epoch: [ 55] [2800/4000] time: 32395.0193, dice0 = 0.05468, cross0 = 0.0632, kl0 = 0.0057, exclusion0 = 0.0443,     dice1 = 0.05832, cross1 = 0.0544, kl1 = 0.0071, exclusion1 = 0.0636
1.1302376
Epoch: [ 55] [2850/4000] time: 32402.4444, net0_loss = 0.15223, net0_acc = 0.9769, net0_test_acc = 0.9481,     net1_loss = 0.18380, net1_acc = 0.9709, net1_test_acc = 0.9302
Epoch: [ 55] [2850/4000] time: 32402.4445, dice0 = 0.06049, cross0 = 0.0521, kl0 = 0.0097, exclusion0 = 0.0695,     dice1 = 0.06702, cross1 = 0.0820, kl1 = 0.0103, exclusion1 = 0.0593
1.1462011
Epoch: [ 55] [2900/4000] time: 32409.8568, net0_loss = 0.14123, net0_acc = 0.9762, net0_test_acc = 0.9328,     net1_loss = 0.06845, net1_acc = 0.9909, net1_test_acc = 0.9223
Epoch: [ 55] [2900/4000] time: 32409.8569, dice0 = 0.05355, cross0 = 0.0611, kl0 = 0.0065, exclusion0 = 0.0467,     dice1 = 0.02462, cross1 = 0.0228, kl1 = 0.0073, exclusion1 = 0.0347
1.104668
Epoch: [ 55] [2950/4000] time: 32417.2247, net0_loss = 0.22384, net0_acc = 0.9647, net0_test_acc = 0.9739,     net1_loss = 0.08777, net1_acc = 0.9852, net1_test_acc = 0.8999
Epoch: [ 55] [2950/4000] time: 32417.2249, dice0 = 0.08135, cross0 = 0.0845, kl0 = 0.0181, exclusion0 = 0.0979,     dice1 = 0.03491, cross1 = 0.0384, kl1 = 0.0014, exclusion1 = 0.0275
1.1205668
Epoch: [ 55] [3000/4000] time: 32424.6916, net0_loss = 0.17343, net0_acc = 0.9745, net0_test_acc = 0.7549,     net1_loss = 0.19166, net1_acc = 0.9704, net1_test_acc = 0.9426
Epoch: [ 55] [3000/4000] time: 32424.6917, dice0 = 0.06722, cross0 = 0.0640, kl0 = 0.0107, exclusion0 = 0.0737,     dice1 = 0.07044, cross1 = 0.0757, kl1 = 0.0157, exclusion1 = 0.0754
1.0436803
Epoch: [ 55] [3050/4000] time: 32432.1133, net0_loss = 0.26605, net0_acc = 0.9501, net0_test_acc = 0.9034,     net1_loss = 0.05805, net1_acc = 0.9928, net1_test_acc = 0.8168
Epoch: [ 55] [3050/4000] time: 32432.1134, dice0 = 0.10204, cross0 = 0.1262, kl0 = 0.0051, exclusion0 = 0.0705,     dice1 = 0.02174, cross1 = 0.0172, kl1 = 0.0052, exclusion1 = 0.0331
1.1744285
Epoch: [ 55] [3100/4000] time: 32439.4682, net0_loss = 0.26826, net0_acc = 0.9527, net0_test_acc = 0.8822,     net1_loss = 0.11807, net1_acc = 0.9815, net1_test_acc = 0.9643
Epoch: [ 55] [3100/4000] time: 32439.4683, dice0 = 0.09712, cross0 = 0.1244, kl0 = 0.0144, exclusion0 = 0.0790,     dice1 = 0.04712, cross1 = 0.0447, kl1 = 0.0045, exclusion1 = 0.0480
1.1388291
Epoch: [ 55] [3150/4000] time: 32446.8669, net0_loss = 0.08977, net0_acc = 0.9855, net0_test_acc = 0.9268,     net1_loss = 0.12028, net1_acc = 0.9786, net1_test_acc = 0.9791
Epoch: [ 55] [3150/4000] time: 32446.8669, dice0 = 0.03325, cross0 = 0.0401, kl0 = 0.0045, exclusion0 = 0.0283,     dice1 = 0.04539, cross1 = 0.0573, kl1 = 0.0034, exclusion1 = 0.0318
1.233818
Epoch: [ 55] [3200/4000] time: 32454.2599, net0_loss = 0.16283, net0_acc = 0.9756, net0_test_acc = 0.9059,     net1_loss = 0.06965, net1_acc = 0.9904, net1_test_acc = 0.9531
Epoch: [ 55] [3200/4000] time: 32454.2601, dice0 = 0.06655, cross0 = 0.0557, kl0 = 0.0096, exclusion0 = 0.0715,     dice1 = 0.02726, cross1 = 0.0252, kl1 = 0.0029, exclusion1 = 0.0315
1.205007
Epoch: [ 55] [3250/4000] time: 32461.6608, net0_loss = 0.12829, net0_acc = 0.9802, net0_test_acc = 0.9574,     net1_loss = 0.15632, net1_acc = 0.9780, net1_test_acc = 0.9252
Epoch: [ 55] [3250/4000] time: 32461.6609, dice0 = 0.04971, cross0 = 0.0514, kl0 = 0.0050, exclusion0 = 0.0492,     dice1 = 0.06066, cross1 = 0.0521, kl1 = 0.0096, exclusion1 = 0.0775
1.1211289
Epoch: [ 55] [3300/4000] time: 32469.0615, net0_loss = 0.16226, net0_acc = 0.9720, net0_test_acc = 0.7511,     net1_loss = 0.06373, net1_acc = 0.9912, net1_test_acc = 0.8089
Epoch: [ 55] [3300/4000] time: 32469.0615, dice0 = 0.06072, cross0 = 0.0724, kl0 = 0.0074, exclusion0 = 0.0510,     dice1 = 0.02503, cross1 = 0.0231, kl1 = 0.0040, exclusion1 = 0.0272
1.2168813
Epoch: [ 55] [3350/4000] time: 32476.4758, net0_loss = 0.10252, net0_acc = 0.9836, net0_test_acc = 0.8377,     net1_loss = 0.14351, net1_acc = 0.9770, net1_test_acc = 0.8316
Epoch: [ 55] [3350/4000] time: 32476.4759, dice0 = 0.04094, cross0 = 0.0388, kl0 = 0.0045, exclusion0 = 0.0411,     dice1 = 0.05557, cross1 = 0.0565, kl1 = 0.0091, exclusion1 = 0.0539
1.1541739
Epoch: [ 55] [3400/4000] time: 32483.8720, net0_loss = 0.14501, net0_acc = 0.9773, net0_test_acc = 0.9762,     net1_loss = 0.08815, net1_acc = 0.9848, net1_test_acc = 0.9471
Epoch: [ 55] [3400/4000] time: 32483.8721, dice0 = 0.05459, cross0 = 0.0651, kl0 = 0.0052, exclusion0 = 0.0454,     dice1 = 0.03503, cross1 = 0.0373, kl1 = 0.0024, exclusion1 = 0.0292
1.1456367
Epoch: [ 55] [3450/4000] time: 32491.2814, net0_loss = 0.09471, net0_acc = 0.9876, net0_test_acc = 0.9892,     net1_loss = 0.09519, net1_acc = 0.9850, net1_test_acc = 0.9505
Epoch: [ 55] [3450/4000] time: 32491.2815, dice0 = 0.03583, cross0 = 0.0319, kl0 = 0.0083, exclusion0 = 0.0455,     dice1 = 0.03940, cross1 = 0.0356, kl1 = 0.0019, exclusion1 = 0.0385
1.2793338
Epoch: [ 55] [3500/4000] time: 32498.7049, net0_loss = 0.09573, net0_acc = 0.9845, net0_test_acc = 0.9482,     net1_loss = 0.23772, net1_acc = 0.9594, net1_test_acc = 0.7881
Epoch: [ 55] [3500/4000] time: 32498.7049, dice0 = 0.03564, cross0 = 0.0400, kl0 = 0.0068, exclusion0 = 0.0334,     dice1 = 0.09112, cross1 = 0.1040, kl1 = 0.0092, exclusion1 = 0.0761
1.1395991
Epoch: [ 55] [3550/4000] time: 32506.0929, net0_loss = 0.12254, net0_acc = 0.9805, net0_test_acc = 0.9816,     net1_loss = 0.11743, net1_acc = 0.9815, net1_test_acc = 0.9018
Epoch: [ 55] [3550/4000] time: 32506.0929, dice0 = 0.04848, cross0 = 0.0475, kl0 = 0.0047, exclusion0 = 0.0484,     dice1 = 0.04479, cross1 = 0.0491, kl1 = 0.0043, exclusion1 = 0.0428
1.1529927
Epoch: [ 55] [3600/4000] time: 32513.4775, net0_loss = 0.09927, net0_acc = 0.9838, net0_test_acc = 0.9427,     net1_loss = 0.15252, net1_acc = 0.9730, net1_test_acc = 0.9629
Epoch: [ 55] [3600/4000] time: 32513.4775, dice0 = 0.03948, cross0 = 0.0375, kl0 = 0.0037, exclusion0 = 0.0409,     dice1 = 0.05777, cross1 = 0.0735, kl1 = 0.0034, exclusion1 = 0.0390
1.2131149
Epoch: [ 55] [3650/4000] time: 32520.8783, net0_loss = 0.11431, net0_acc = 0.9823, net0_test_acc = 0.9338,     net1_loss = 0.13065, net1_acc = 0.9784, net1_test_acc = 0.9810
Epoch: [ 55] [3650/4000] time: 32520.8783, dice0 = 0.04468, cross0 = 0.0451, kl0 = 0.0041, exclusion0 = 0.0450,     dice1 = 0.04894, cross1 = 0.0624, kl1 = 0.0047, exclusion1 = 0.0340
1.2200377
Epoch: [ 55] [3700/4000] time: 32528.2882, net0_loss = 0.09423, net0_acc = 0.9844, net0_test_acc = 0.9158,     net1_loss = 0.13842, net1_acc = 0.9775, net1_test_acc = 0.9526
Epoch: [ 55] [3700/4000] time: 32528.2883, dice0 = 0.03875, cross0 = 0.0377, kl0 = 0.0017, exclusion0 = 0.0339,     dice1 = 0.05390, cross1 = 0.0541, kl1 = 0.0073, exclusion1 = 0.0535
1.142206
Epoch: [ 55] [3750/4000] time: 32535.6541, net0_loss = 0.16673, net0_acc = 0.9721, net0_test_acc = 0.9032,     net1_loss = 0.16501, net1_acc = 0.9726, net1_test_acc = 0.9578
Epoch: [ 55] [3750/4000] time: 32535.6541, dice0 = 0.06398, cross0 = 0.0672, kl0 = 0.0077, exclusion0 = 0.0634,     dice1 = 0.06372, cross1 = 0.0689, kl1 = 0.0065, exclusion1 = 0.0583
1.1093228
Epoch: [ 55] [3800/4000] time: 32542.9809, net0_loss = 0.24596, net0_acc = 0.9585, net0_test_acc = 0.9464,     net1_loss = 0.07254, net1_acc = 0.9893, net1_test_acc = 0.9122
Epoch: [ 55] [3800/4000] time: 32542.9810, dice0 = 0.09285, cross0 = 0.1093, kl0 = 0.0085, exclusion0 = 0.0791,     dice1 = 0.02972, cross1 = 0.0252, kl1 = 0.0025, exclusion1 = 0.0327
1.198313
Epoch: [ 55] [3850/4000] time: 32550.5155, net0_loss = 0.09146, net0_acc = 0.9884, net0_test_acc = 0.9150,     net1_loss = 0.14068, net1_acc = 0.9766, net1_test_acc = 0.9714
Epoch: [ 55] [3850/4000] time: 32550.5156, dice0 = 0.03704, cross0 = 0.0286, kl0 = 0.0056, exclusion0 = 0.0461,     dice1 = 0.05682, cross1 = 0.0538, kl1 = 0.0066, exclusion1 = 0.0534
1.1002961
Epoch: [ 55] [3900/4000] time: 32557.9437, net0_loss = 0.23132, net0_acc = 0.9607, net0_test_acc = 0.9811,     net1_loss = 0.09281, net1_acc = 0.9837, net1_test_acc = 0.9534
Epoch: [ 55] [3900/4000] time: 32557.9438, dice0 = 0.08784, cross0 = 0.1019, kl0 = 0.0090, exclusion0 = 0.0742,     dice1 = 0.03596, cross1 = 0.0423, kl1 = 0.0024, exclusion1 = 0.0266
1.289045
Epoch: [ 55] [3950/4000] time: 32565.3854, net0_loss = 0.19631, net0_acc = 0.9659, net0_test_acc = 0.7337,     net1_loss = 0.10914, net1_acc = 0.9833, net1_test_acc = 0.9215
Epoch: [ 55] [3950/4000] time: 32565.3854, dice0 = 0.07362, cross0 = 0.0940, kl0 = 0.0072, exclusion0 = 0.0501,     dice1 = 0.04161, cross1 = 0.0407, kl1 = 0.0073, exclusion1 = 0.0464
1.2755053
Epoch: [ 56] [  0/4000] time: 32573.8667, net0_loss = 0.21273, net0_acc = 0.9634, net0_test_acc = 0.9400,     net1_loss = 0.16193, net1_acc = 0.9721, net1_test_acc = 0.9419
Epoch: [ 56] [  0/4000] time: 32573.8667, dice0 = 0.07657, cross0 = 0.1009, kl0 = 0.0110, exclusion0 = 0.0594,     dice1 = 0.05973, cross1 = 0.0790, kl1 = 0.0057, exclusion1 = 0.0407
1.1632706
Epoch: [ 56] [ 50/4000] time: 32581.1678, net0_loss = 0.08036, net0_acc = 0.9870, net0_test_acc = 0.9356,     net1_loss = 0.17324, net1_acc = 0.9707, net1_test_acc = 0.9501
Epoch: [ 56] [ 50/4000] time: 32581.1679, dice0 = 0.03045, cross0 = 0.0345, kl0 = 0.0030, exclusion0 = 0.0279,     dice1 = 0.06423, cross1 = 0.0801, kl1 = 0.0067, exclusion1 = 0.0511
1.1322677
Epoch: [ 56] [100/4000] time: 32588.5809, net0_loss = 0.25101, net0_acc = 0.9602, net0_test_acc = 0.9452,     net1_loss = 0.10403, net1_acc = 0.9824, net1_test_acc = 0.9241
Epoch: [ 56] [100/4000] time: 32588.5810, dice0 = 0.09496, cross0 = 0.1020, kl0 = 0.0115, exclusion0 = 0.0965,     dice1 = 0.03882, cross1 = 0.0481, kl1 = 0.0036, exclusion1 = 0.0306
1.1734498
Epoch: [ 56] [150/4000] time: 32595.9553, net0_loss = 0.07883, net0_acc = 0.9863, net0_test_acc = 0.8076,     net1_loss = 0.08673, net1_acc = 0.9859, net1_test_acc = 0.9277
Epoch: [ 56] [150/4000] time: 32595.9553, dice0 = 0.03321, cross0 = 0.0305, kl0 = 0.0016, exclusion0 = 0.0285,     dice1 = 0.03292, cross1 = 0.0394, kl1 = 0.0028, exclusion1 = 0.0260
1.1655364
Epoch: [ 56] [200/4000] time: 32603.3452, net0_loss = 0.12291, net0_acc = 0.9800, net0_test_acc = 0.8909,     net1_loss = 0.13217, net1_acc = 0.9803, net1_test_acc = 0.8979
Epoch: [ 56] [200/4000] time: 32603.3453, dice0 = 0.04620, cross0 = 0.0513, kl0 = 0.0059, exclusion0 = 0.0450,     dice1 = 0.05031, cross1 = 0.0520, kl1 = 0.0097, exclusion1 = 0.0500
1.3740053
Epoch: [ 56] [250/4000] time: 32610.7411, net0_loss = 0.17070, net0_acc = 0.9742, net0_test_acc = 0.9571,     net1_loss = 0.24743, net1_acc = 0.9621, net1_test_acc = 0.9351
Epoch: [ 56] [250/4000] time: 32610.7412, dice0 = 0.06347, cross0 = 0.0709, kl0 = 0.0092, exclusion0 = 0.0636,     dice1 = 0.08306, cross1 = 0.1367, kl1 = 0.0036, exclusion1 = 0.0517
1.2207642
Epoch: [ 56] [300/4000] time: 32618.1292, net0_loss = 0.15031, net0_acc = 0.9786, net0_test_acc = 0.8030,     net1_loss = 0.08001, net1_acc = 0.9874, net1_test_acc = 0.9353
Epoch: [ 56] [300/4000] time: 32618.1292, dice0 = 0.05615, cross0 = 0.0568, kl0 = 0.0107, exclusion0 = 0.0640,     dice1 = 0.03154, cross1 = 0.0315, kl1 = 0.0028, exclusion1 = 0.0311
1.279828
Epoch: [ 56] [350/4000] time: 32625.5275, net0_loss = 0.20457, net0_acc = 0.9664, net0_test_acc = 0.9650,     net1_loss = 0.24356, net1_acc = 0.9658, net1_test_acc = 0.9685
Epoch: [ 56] [350/4000] time: 32625.5276, dice0 = 0.07391, cross0 = 0.1016, kl0 = 0.0067, exclusion0 = 0.0514,     dice1 = 0.08754, cross1 = 0.0921, kl1 = 0.0212, exclusion1 = 0.1066
1.2253284
Epoch: [ 56] [400/4000] time: 32632.9409, net0_loss = 0.06231, net0_acc = 0.9917, net0_test_acc = 0.9571,     net1_loss = 0.16458, net1_acc = 0.9744, net1_test_acc = 0.9900
Epoch: [ 56] [400/4000] time: 32632.9409, dice0 = 0.02310, cross0 = 0.0227, kl0 = 0.0038, exclusion0 = 0.0293,     dice1 = 0.06123, cross1 = 0.0692, kl1 = 0.0095, exclusion1 = 0.0588
1.2075435
Epoch: [ 56] [450/4000] time: 32640.3218, net0_loss = 0.11314, net0_acc = 0.9834, net0_test_acc = 0.9619,     net1_loss = 0.10515, net1_acc = 0.9832, net1_test_acc = 0.9168
Epoch: [ 56] [450/4000] time: 32640.3218, dice0 = 0.04397, cross0 = 0.0426, kl0 = 0.0055, exclusion0 = 0.0476,     dice1 = 0.04239, cross1 = 0.0386, kl1 = 0.0045, exclusion1 = 0.0439
1.1563501
Epoch: [ 56] [500/4000] time: 32647.6948, net0_loss = 0.21792, net0_acc = 0.9626, net0_test_acc = 0.8702,     net1_loss = 0.20909, net1_acc = 0.9677, net1_test_acc = 0.9124
Epoch: [ 56] [500/4000] time: 32647.6950, dice0 = 0.08148, cross0 = 0.0927, kl0 = 0.0139, exclusion0 = 0.0736,     dice1 = 0.07750, cross1 = 0.0829, kl1 = 0.0148, exclusion1 = 0.0827
1.1815851
Epoch: [ 56] [550/4000] time: 32655.1488, net0_loss = 0.17813, net0_acc = 0.9674, net0_test_acc = 0.8348,     net1_loss = 0.13417, net1_acc = 0.9776, net1_test_acc = 0.9691
Epoch: [ 56] [550/4000] time: 32655.1489, dice0 = 0.06846, cross0 = 0.0828, kl0 = 0.0068, exclusion0 = 0.0469,     dice1 = 0.04937, cross1 = 0.0591, kl1 = 0.0070, exclusion1 = 0.0445
1.1904316
Epoch: [ 56] [600/4000] time: 32662.5419, net0_loss = 0.06685, net0_acc = 0.9893, net0_test_acc = 0.9798,     net1_loss = 0.17839, net1_acc = 0.9721, net1_test_acc = 0.9015
Epoch: [ 56] [600/4000] time: 32662.5420, dice0 = 0.02735, cross0 = 0.0240, kl0 = 0.0019, exclusion0 = 0.0292,     dice1 = 0.06454, cross1 = 0.0729, kl1 = 0.0114, exclusion1 = 0.0705
1.101167
Epoch: [ 56] [650/4000] time: 32669.9310, net0_loss = 0.08397, net0_acc = 0.9883, net0_test_acc = 0.9445,     net1_loss = 0.10628, net1_acc = 0.9854, net1_test_acc = 0.9604
Epoch: [ 56] [650/4000] time: 32669.9311, dice0 = 0.03389, cross0 = 0.0279, kl0 = 0.0036, exclusion0 = 0.0408,     dice1 = 0.04066, cross1 = 0.0365, kl1 = 0.0082, exclusion1 = 0.0500
1.1345363
Epoch: [ 56] [700/4000] time: 32677.3305, net0_loss = 0.15514, net0_acc = 0.9731, net0_test_acc = 0.8975,     net1_loss = 0.06392, net1_acc = 0.9894, net1_test_acc = 0.9252
Epoch: [ 56] [700/4000] time: 32677.3306, dice0 = 0.05635, cross0 = 0.0750, kl0 = 0.0061, exclusion0 = 0.0415,     dice1 = 0.02588, cross1 = 0.0258, kl1 = 0.0019, exclusion1 = 0.0225
1.1362146
Epoch: [ 56] [750/4000] time: 32684.7314, net0_loss = 0.10773, net0_acc = 0.9811, net0_test_acc = 0.9586,     net1_loss = 0.11878, net1_acc = 0.9803, net1_test_acc = 0.8940
Epoch: [ 56] [750/4000] time: 32684.7314, dice0 = 0.04229, cross0 = 0.0478, kl0 = 0.0032, exclusion0 = 0.0320,     dice1 = 0.04618, cross1 = 0.0489, kl1 = 0.0056, exclusion1 = 0.0418
1.1527528
Epoch: [ 56] [800/4000] time: 32692.1653, net0_loss = 0.14316, net0_acc = 0.9784, net0_test_acc = 0.9731,     net1_loss = 0.21510, net1_acc = 0.9639, net1_test_acc = 0.9559
Epoch: [ 56] [800/4000] time: 32692.1653, dice0 = 0.05520, cross0 = 0.0540, kl0 = 0.0080, exclusion0 = 0.0599,     dice1 = 0.07480, cross1 = 0.1124, kl1 = 0.0069, exclusion1 = 0.0489
1.1400607
Epoch: [ 56] [850/4000] time: 32699.5659, net0_loss = 0.15889, net0_acc = 0.9756, net0_test_acc = 0.9338,     net1_loss = 0.17346, net1_acc = 0.9735, net1_test_acc = 0.9456
Epoch: [ 56] [850/4000] time: 32699.5660, dice0 = 0.05686, cross0 = 0.0761, kl0 = 0.0055, exclusion0 = 0.0463,     dice1 = 0.06395, cross1 = 0.0720, kl1 = 0.0082, exclusion1 = 0.0667
1.1889337
Epoch: [ 56] [900/4000] time: 32706.9912, net0_loss = 0.23972, net0_acc = 0.9606, net0_test_acc = 0.9382,     net1_loss = 0.08791, net1_acc = 0.9875, net1_test_acc = 0.7804
Epoch: [ 56] [900/4000] time: 32706.9913, dice0 = 0.08629, cross0 = 0.1085, kl0 = 0.0141, exclusion0 = 0.0757,     dice1 = 0.03330, cross1 = 0.0307, kl1 = 0.0063, exclusion1 = 0.0416
1.1915729
Epoch: [ 56] [950/4000] time: 32714.4306, net0_loss = 0.09448, net0_acc = 0.9861, net0_test_acc = 0.8641,     net1_loss = 0.33151, net1_acc = 0.9468, net1_test_acc = 0.9005
Epoch: [ 56] [950/4000] time: 32714.4306, dice0 = 0.03567, cross0 = 0.0337, kl0 = 0.0071, exclusion0 = 0.0432,     dice1 = 0.10750, cross1 = 0.1816, kl1 = 0.0137, exclusion1 = 0.0711
1.1528707
Epoch: [ 56] [1000/4000] time: 32721.8611, net0_loss = 0.15934, net0_acc = 0.9747, net0_test_acc = 0.9184,     net1_loss = 0.09817, net1_acc = 0.9861, net1_test_acc = 0.8056
Epoch: [ 56] [1000/4000] time: 32721.8612, dice0 = 0.05936, cross0 = 0.0612, kl0 = 0.0108, exclusion0 = 0.0668,     dice1 = 0.03842, cross1 = 0.0355, kl1 = 0.0057, exclusion1 = 0.0429
1.2012922
Epoch: [ 56] [1050/4000] time: 32729.2517, net0_loss = 0.29855, net0_acc = 0.9553, net0_test_acc = 0.9336,     net1_loss = 0.08534, net1_acc = 0.9888, net1_test_acc = 0.9366
Epoch: [ 56] [1050/4000] time: 32729.2517, dice0 = 0.11175, cross0 = 0.1161, kl0 = 0.0198, exclusion0 = 0.1216,     dice1 = 0.03310, cross1 = 0.0276, kl1 = 0.0061, exclusion1 = 0.0431
1.186085
Epoch: [ 56] [1100/4000] time: 32736.6325, net0_loss = 0.17349, net0_acc = 0.9754, net0_test_acc = 0.9166,     net1_loss = 0.28016, net1_acc = 0.9563, net1_test_acc = 0.9454
Epoch: [ 56] [1100/4000] time: 32736.6325, dice0 = 0.05732, cross0 = 0.0678, kl0 = 0.0203, exclusion0 = 0.0765,     dice1 = 0.09721, cross1 = 0.1156, kl1 = 0.0252, exclusion1 = 0.1095
1.0798072
Epoch: [ 56] [1150/4000] time: 32744.0191, net0_loss = 0.15816, net0_acc = 0.9732, net0_test_acc = 0.9730,     net1_loss = 0.22814, net1_acc = 0.9589, net1_test_acc = 0.9352
Epoch: [ 56] [1150/4000] time: 32744.0192, dice0 = 0.05867, cross0 = 0.0756, kl0 = 0.0050, exclusion0 = 0.0427,     dice1 = 0.08500, cross1 = 0.1130, kl1 = 0.0053, exclusion1 = 0.0549
1.215378
Epoch: [ 56] [1200/4000] time: 32751.4105, net0_loss = 0.06359, net0_acc = 0.9924, net0_test_acc = 0.9228,     net1_loss = 0.18405, net1_acc = 0.9729, net1_test_acc = 0.8659
Epoch: [ 56] [1200/4000] time: 32751.4105, dice0 = 0.02419, cross0 = 0.0231, kl0 = 0.0028, exclusion0 = 0.0298,     dice1 = 0.06478, cross1 = 0.0747, kl1 = 0.0160, exclusion1 = 0.0731
1.1110047
Epoch: [ 56] [1250/4000] time: 32758.8923, net0_loss = 0.33780, net0_acc = 0.9434, net0_test_acc = 0.9525,     net1_loss = 0.17134, net1_acc = 0.9705, net1_test_acc = 0.9814
Epoch: [ 56] [1250/4000] time: 32758.8924, dice0 = 0.11581, cross0 = 0.1820, kl0 = 0.0082, exclusion0 = 0.0718,     dice1 = 0.06646, cross1 = 0.0753, kl1 = 0.0066, exclusion1 = 0.0525
1.1450285
Epoch: [ 56] [1300/4000] time: 32766.2832, net0_loss = 0.15644, net0_acc = 0.9739, net0_test_acc = 0.8687,     net1_loss = 0.17817, net1_acc = 0.9743, net1_test_acc = 0.8339
Epoch: [ 56] [1300/4000] time: 32766.2833, dice0 = 0.05576, cross0 = 0.0765, kl0 = 0.0077, exclusion0 = 0.0406,     dice1 = 0.06390, cross1 = 0.0656, kl1 = 0.0192, exclusion1 = 0.0782
1.1127671
Epoch: [ 56] [1350/4000] time: 32773.6994, net0_loss = 0.27260, net0_acc = 0.9520, net0_test_acc = 0.9205,     net1_loss = 0.34904, net1_acc = 0.9388, net1_test_acc = 0.9091
Epoch: [ 56] [1350/4000] time: 32773.6995, dice0 = 0.10690, cross0 = 0.1134, kl0 = 0.0106, exclusion0 = 0.0940,     dice1 = 0.12183, cross1 = 0.1806, kl1 = 0.0123, exclusion1 = 0.0808
1.1045173
Epoch: [ 56] [1400/4000] time: 32781.0730, net0_loss = 0.18335, net0_acc = 0.9699, net0_test_acc = 0.9557,     net1_loss = 0.14356, net1_acc = 0.9770, net1_test_acc = 0.9489
Epoch: [ 56] [1400/4000] time: 32781.0731, dice0 = 0.06682, cross0 = 0.0747, kl0 = 0.0147, exclusion0 = 0.0689,     dice1 = 0.05226, cross1 = 0.0636, kl1 = 0.0090, exclusion1 = 0.0465
1.2766643
Epoch: [ 56] [1450/4000] time: 32788.4830, net0_loss = 0.17994, net0_acc = 0.9685, net0_test_acc = 0.9330,     net1_loss = 0.13637, net1_acc = 0.9798, net1_test_acc = 0.9893
Epoch: [ 56] [1450/4000] time: 32788.4830, dice0 = 0.06322, cross0 = 0.0984, kl0 = 0.0040, exclusion0 = 0.0328,     dice1 = 0.05053, cross1 = 0.0491, kl1 = 0.0119, exclusion1 = 0.0616
1.0953325
Epoch: [ 56] [1500/4000] time: 32795.8892, net0_loss = 0.14498, net0_acc = 0.9794, net0_test_acc = 0.9497,     net1_loss = 0.12242, net1_acc = 0.9813, net1_test_acc = 0.8006
Epoch: [ 56] [1500/4000] time: 32795.8892, dice0 = 0.05552, cross0 = 0.0488, kl0 = 0.0089, exclusion0 = 0.0723,     dice1 = 0.04712, cross1 = 0.0448, kl1 = 0.0100, exclusion1 = 0.0510
1.233814
Epoch: [ 56] [1550/4000] time: 32803.2776, net0_loss = 0.14036, net0_acc = 0.9789, net0_test_acc = 0.8792,     net1_loss = 0.08229, net1_acc = 0.9880, net1_test_acc = 0.9847
Epoch: [ 56] [1550/4000] time: 32803.2777, dice0 = 0.05482, cross0 = 0.0537, kl0 = 0.0062, exclusion0 = 0.0576,     dice1 = 0.03332, cross1 = 0.0281, kl1 = 0.0040, exclusion1 = 0.0377
1.2676713
Epoch: [ 56] [1600/4000] time: 32810.7401, net0_loss = 0.14197, net0_acc = 0.9762, net0_test_acc = 0.9480,     net1_loss = 0.15540, net1_acc = 0.9732, net1_test_acc = 0.9228
Epoch: [ 56] [1600/4000] time: 32810.7401, dice0 = 0.05089, cross0 = 0.0740, kl0 = 0.0023, exclusion0 = 0.0318,     dice1 = 0.06233, cross1 = 0.0636, kl1 = 0.0054, exclusion1 = 0.0534
1.1318733
Epoch: [ 56] [1650/4000] time: 32818.1225, net0_loss = 0.05342, net0_acc = 0.9928, net0_test_acc = 0.8628,     net1_loss = 0.15882, net1_acc = 0.9777, net1_test_acc = 0.9059
Epoch: [ 56] [1650/4000] time: 32818.1226, dice0 = 0.02032, cross0 = 0.0178, kl0 = 0.0034, exclusion0 = 0.0272,     dice1 = 0.05873, cross1 = 0.0582, kl1 = 0.0130, exclusion1 = 0.0708
1.2149098
Epoch: [ 56] [1700/4000] time: 32825.4207, net0_loss = 0.30459, net0_acc = 0.9496, net0_test_acc = 0.9038,     net1_loss = 0.22206, net1_acc = 0.9668, net1_test_acc = 0.8112
Epoch: [ 56] [1700/4000] time: 32825.4207, dice0 = 0.10608, cross0 = 0.1485, kl0 = 0.0154, exclusion0 = 0.0847,     dice1 = 0.08825, cross1 = 0.0804, kl1 = 0.0097, exclusion1 = 0.0970
1.2042298
Epoch: [ 56] [1750/4000] time: 32832.9010, net0_loss = 0.10980, net0_acc = 0.9841, net0_test_acc = 0.8832,     net1_loss = 0.06337, net1_acc = 0.9897, net1_test_acc = 0.9254
Epoch: [ 56] [1750/4000] time: 32832.9010, dice0 = 0.04033, cross0 = 0.0376, kl0 = 0.0101, exclusion0 = 0.0537,     dice1 = 0.02482, cross1 = 0.0284, kl1 = 0.0015, exclusion1 = 0.0189
1.2767124
Epoch: [ 56] [1800/4000] time: 32840.3651, net0_loss = 0.10942, net0_acc = 0.9837, net0_test_acc = 0.9313,     net1_loss = 0.21819, net1_acc = 0.9634, net1_test_acc = 0.9237
Epoch: [ 56] [1800/4000] time: 32840.3652, dice0 = 0.04387, cross0 = 0.0366, kl0 = 0.0053, exclusion0 = 0.0526,     dice1 = 0.08079, cross1 = 0.0922, kl1 = 0.0124, exclusion1 = 0.0781
1.1689765
Epoch: [ 56] [1850/4000] time: 32847.7575, net0_loss = 0.08506, net0_acc = 0.9871, net0_test_acc = 0.8969,     net1_loss = 0.06001, net1_acc = 0.9917, net1_test_acc = 0.9202
Epoch: [ 56] [1850/4000] time: 32847.7576, dice0 = 0.03245, cross0 = 0.0325, kl0 = 0.0059, exclusion0 = 0.0344,     dice1 = 0.02436, cross1 = 0.0200, kl1 = 0.0031, exclusion1 = 0.0283
1.1641326
Epoch: [ 56] [1900/4000] time: 32855.1886, net0_loss = 0.16229, net0_acc = 0.9728, net0_test_acc = 0.9465,     net1_loss = 0.12810, net1_acc = 0.9824, net1_test_acc = 0.9463
Epoch: [ 56] [1900/4000] time: 32855.1886, dice0 = 0.05932, cross0 = 0.0726, kl0 = 0.0078, exclusion0 = 0.0529,     dice1 = 0.04484, cross1 = 0.0411, kl1 = 0.0199, exclusion1 = 0.0645
1.1772361
Epoch: [ 56] [1950/4000] time: 32862.6317, net0_loss = 0.13681, net0_acc = 0.9769, net0_test_acc = 0.9829,     net1_loss = 0.08946, net1_acc = 0.9877, net1_test_acc = 0.9886
Epoch: [ 56] [1950/4000] time: 32862.6318, dice0 = 0.05319, cross0 = 0.0569, kl0 = 0.0047, exclusion0 = 0.0486,     dice1 = 0.03462, cross1 = 0.0284, kl1 = 0.0071, exclusion1 = 0.0458
1.1347125
Epoch: [ 56] [2000/4000] time: 32870.0132, net0_loss = 0.11358, net0_acc = 0.9813, net0_test_acc = 0.9639,     net1_loss = 0.14378, net1_acc = 0.9773, net1_test_acc = 0.9597
Epoch: [ 56] [2000/4000] time: 32870.0133, dice0 = 0.04468, cross0 = 0.0449, kl0 = 0.0046, exclusion0 = 0.0435,     dice1 = 0.05293, cross1 = 0.0566, kl1 = 0.0124, exclusion1 = 0.0561
1.1619587
Epoch: [ 56] [2050/4000] time: 32877.3434, net0_loss = 0.22771, net0_acc = 0.9646, net0_test_acc = 0.9773,     net1_loss = 0.14964, net1_acc = 0.9776, net1_test_acc = 0.9243
Epoch: [ 56] [2050/4000] time: 32877.3435, dice0 = 0.08237, cross0 = 0.0989, kl0 = 0.0132, exclusion0 = 0.0797,     dice1 = 0.05812, cross1 = 0.0548, kl1 = 0.0075, exclusion1 = 0.0660
1.2726122
Epoch: [ 56] [2100/4000] time: 32884.9048, net0_loss = 0.09077, net0_acc = 0.9859, net0_test_acc = 0.8880,     net1_loss = 0.13401, net1_acc = 0.9776, net1_test_acc = 0.9874
Epoch: [ 56] [2100/4000] time: 32884.9049, dice0 = 0.03455, cross0 = 0.0391, kl0 = 0.0046, exclusion0 = 0.0297,     dice1 = 0.05063, cross1 = 0.0540, kl1 = 0.0089, exclusion1 = 0.0499
1.1411875
Epoch: [ 56] [2150/4000] time: 32892.2845, net0_loss = 0.14952, net0_acc = 0.9738, net0_test_acc = 0.9335,     net1_loss = 0.08268, net1_acc = 0.9869, net1_test_acc = 0.9894
Epoch: [ 56] [2150/4000] time: 32892.2845, dice0 = 0.05625, cross0 = 0.0735, kl0 = 0.0028, exclusion0 = 0.0367,     dice1 = 0.03116, cross1 = 0.0382, kl1 = 0.0024, exclusion1 = 0.0243
1.2172315
Epoch: [ 56] [2200/4000] time: 32899.6643, net0_loss = 0.05334, net0_acc = 0.9931, net0_test_acc = 0.8984,     net1_loss = 0.21001, net1_acc = 0.9649, net1_test_acc = 0.9123
Epoch: [ 56] [2200/4000] time: 32899.6643, dice0 = 0.02112, cross0 = 0.0192, kl0 = 0.0022, exclusion0 = 0.0238,     dice1 = 0.08105, cross1 = 0.0858, kl1 = 0.0090, exclusion1 = 0.0774
1.1989225
Epoch: [ 56] [2250/4000] time: 32907.0795, net0_loss = 0.10199, net0_acc = 0.9824, net0_test_acc = 0.9597,     net1_loss = 0.18935, net1_acc = 0.9687, net1_test_acc = 0.9618
Epoch: [ 56] [2250/4000] time: 32907.0796, dice0 = 0.03894, cross0 = 0.0440, kl0 = 0.0041, exclusion0 = 0.0339,     dice1 = 0.06754, cross1 = 0.0963, kl1 = 0.0045, exclusion1 = 0.0465
1.1361674
Epoch: [ 56] [2300/4000] time: 32914.5092, net0_loss = 0.11455, net0_acc = 0.9813, net0_test_acc = 0.7668,     net1_loss = 0.10780, net1_acc = 0.9810, net1_test_acc = 0.9102
Epoch: [ 56] [2300/4000] time: 32914.5093, dice0 = 0.04587, cross0 = 0.0453, kl0 = 0.0043, exclusion0 = 0.0423,     dice1 = 0.04211, cross1 = 0.0447, kl1 = 0.0046, exclusion1 = 0.0373
1.224026
Epoch: [ 56] [2350/4000] time: 32921.9185, net0_loss = 0.04924, net0_acc = 0.9925, net0_test_acc = 0.8364,     net1_loss = 0.28282, net1_acc = 0.9566, net1_test_acc = 0.8427
Epoch: [ 56] [2350/4000] time: 32921.9185, dice0 = 0.01929, cross0 = 0.0190, kl0 = 0.0024, exclusion0 = 0.0195,     dice1 = 0.09859, cross1 = 0.1275, kl1 = 0.0154, exclusion1 = 0.0979
1.2126849
Epoch: [ 56] [2400/4000] time: 32929.3838, net0_loss = 0.17657, net0_acc = 0.9693, net0_test_acc = 0.9855,     net1_loss = 0.22581, net1_acc = 0.9652, net1_test_acc = 0.9692
Epoch: [ 56] [2400/4000] time: 32929.3839, dice0 = 0.07009, cross0 = 0.0724, kl0 = 0.0059, exclusion0 = 0.0622,     dice1 = 0.07934, cross1 = 0.0878, kl1 = 0.0244, exclusion1 = 0.0928
1.181444
Epoch: [ 56] [2450/4000] time: 32936.7004, net0_loss = 0.22123, net0_acc = 0.9697, net0_test_acc = 0.9306,     net1_loss = 0.15348, net1_acc = 0.9730, net1_test_acc = 0.9401
Epoch: [ 56] [2450/4000] time: 32936.7005, dice0 = 0.06705, cross0 = 0.0820, kl0 = 0.0380, exclusion0 = 0.1063,     dice1 = 0.05756, cross1 = 0.0726, kl1 = 0.0053, exclusion1 = 0.0413
1.1424315
Epoch: [ 56] [2500/4000] time: 32944.2078, net0_loss = 0.10055, net0_acc = 0.9877, net0_test_acc = 0.9511,     net1_loss = 0.22737, net1_acc = 0.9631, net1_test_acc = 0.9629
Epoch: [ 56] [2500/4000] time: 32944.2078, dice0 = 0.03513, cross0 = 0.0309, kl0 = 0.0122, exclusion0 = 0.0569,     dice1 = 0.07860, cross1 = 0.1166, kl1 = 0.0089, exclusion1 = 0.0555
1.0768534
Epoch: [ 56] [2550/4000] time: 32951.6416, net0_loss = 0.08356, net0_acc = 0.9880, net0_test_acc = 0.9127,     net1_loss = 0.15648, net1_acc = 0.9736, net1_test_acc = 0.9776
Epoch: [ 56] [2550/4000] time: 32951.6417, dice0 = 0.03360, cross0 = 0.0291, kl0 = 0.0041, exclusion0 = 0.0377,     dice1 = 0.05739, cross1 = 0.0761, kl1 = 0.0049, exclusion1 = 0.0412
1.1780081
Epoch: [ 56] [2600/4000] time: 32959.0414, net0_loss = 0.20281, net0_acc = 0.9656, net0_test_acc = 0.9524,     net1_loss = 0.11034, net1_acc = 0.9834, net1_test_acc = 0.9352
Epoch: [ 56] [2600/4000] time: 32959.0414, dice0 = 0.07333, cross0 = 0.0857, kl0 = 0.0149, exclusion0 = 0.0727,     dice1 = 0.04376, cross1 = 0.0402, kl1 = 0.0047, exclusion1 = 0.0480
1.0946012
Epoch: [ 56] [2650/4000] time: 32966.4464, net0_loss = 0.07350, net0_acc = 0.9887, net0_test_acc = 0.9402,     net1_loss = 0.13210, net1_acc = 0.9788, net1_test_acc = 0.9227
Epoch: [ 56] [2650/4000] time: 32966.4465, dice0 = 0.02969, cross0 = 0.0260, kl0 = 0.0032, exclusion0 = 0.0324,     dice1 = 0.05148, cross1 = 0.0506, kl1 = 0.0080, exclusion1 = 0.0520
1.1147395
Epoch: [ 56] [2700/4000] time: 32973.8054, net0_loss = 0.21774, net0_acc = 0.9620, net0_test_acc = 0.9716,     net1_loss = 0.14333, net1_acc = 0.9782, net1_test_acc = 0.9153
Epoch: [ 56] [2700/4000] time: 32973.8055, dice0 = 0.07904, cross0 = 0.0940, kl0 = 0.0149, exclusion0 = 0.0746,     dice1 = 0.05109, cross1 = 0.0730, kl1 = 0.0042, exclusion1 = 0.0343
1.1263884
Epoch: [ 56] [2750/4000] time: 32981.2807, net0_loss = 0.13025, net0_acc = 0.9826, net0_test_acc = 0.7493,     net1_loss = 0.08147, net1_acc = 0.9871, net1_test_acc = 0.9503
Epoch: [ 56] [2750/4000] time: 32981.2808, dice0 = 0.04795, cross0 = 0.0397, kl0 = 0.0140, exclusion0 = 0.0712,     dice1 = 0.03298, cross1 = 0.0310, kl1 = 0.0027, exclusion1 = 0.0323
1.1361887
Epoch: [ 56] [2800/4000] time: 32988.6943, net0_loss = 0.10647, net0_acc = 0.9807, net0_test_acc = 0.8958,     net1_loss = 0.27711, net1_acc = 0.9572, net1_test_acc = 0.8114
Epoch: [ 56] [2800/4000] time: 32988.6944, dice0 = 0.04005, cross0 = 0.0536, kl0 = 0.0019, exclusion0 = 0.0238,     dice1 = 0.09639, cross1 = 0.1172, kl1 = 0.0226, exclusion1 = 0.1045
1.1114907
Epoch: [ 56] [2850/4000] time: 32996.1293, net0_loss = 0.07945, net0_acc = 0.9888, net0_test_acc = 0.8887,     net1_loss = 0.25058, net1_acc = 0.9593, net1_test_acc = 0.9707
Epoch: [ 56] [2850/4000] time: 32996.1294, dice0 = 0.03194, cross0 = 0.0264, kl0 = 0.0037, exclusion0 = 0.0386,     dice1 = 0.09836, cross1 = 0.0979, kl1 = 0.0104, exclusion1 = 0.0983
1.1654875
Epoch: [ 56] [2900/4000] time: 33003.5183, net0_loss = 0.08156, net0_acc = 0.9885, net0_test_acc = 0.9348,     net1_loss = 0.09266, net1_acc = 0.9873, net1_test_acc = 0.9797
Epoch: [ 56] [2900/4000] time: 33003.5184, dice0 = 0.03266, cross0 = 0.0272, kl0 = 0.0041, exclusion0 = 0.0393,     dice1 = 0.03143, cross1 = 0.0354, kl1 = 0.0089, exclusion1 = 0.0428
1.0972608
Epoch: [ 56] [2950/4000] time: 33010.9414, net0_loss = 0.21555, net0_acc = 0.9650, net0_test_acc = 0.9144,     net1_loss = 0.26706, net1_acc = 0.9576, net1_test_acc = 0.9438
Epoch: [ 56] [2950/4000] time: 33010.9415, dice0 = 0.07990, cross0 = 0.0891, kl0 = 0.0122, exclusion0 = 0.0809,     dice1 = 0.09100, cross1 = 0.1265, kl1 = 0.0183, exclusion1 = 0.0808
1.1246915
Epoch: [ 56] [3000/4000] time: 33018.3002, net0_loss = 0.24321, net0_acc = 0.9611, net0_test_acc = 0.9562,     net1_loss = 0.12083, net1_acc = 0.9812, net1_test_acc = 0.9281
Epoch: [ 56] [3000/4000] time: 33018.3003, dice0 = 0.08864, cross0 = 0.1049, kl0 = 0.0137, exclusion0 = 0.0857,     dice1 = 0.04854, cross1 = 0.0444, kl1 = 0.0063, exclusion1 = 0.0495
1.1557223
Epoch: [ 56] [3050/4000] time: 33025.7794, net0_loss = 0.27222, net0_acc = 0.9533, net0_test_acc = 0.7226,     net1_loss = 0.25942, net1_acc = 0.9585, net1_test_acc = 0.8151
Epoch: [ 56] [3050/4000] time: 33025.7795, dice0 = 0.09659, cross0 = 0.1356, kl0 = 0.0105, exclusion0 = 0.0696,     dice1 = 0.09767, cross1 = 0.1021, kl1 = 0.0193, exclusion1 = 0.1000
1.0839064
Epoch: [ 56] [3100/4000] time: 33033.1914, net0_loss = 0.08451, net0_acc = 0.9863, net0_test_acc = 0.8037,     net1_loss = 0.12891, net1_acc = 0.9791, net1_test_acc = 0.8255
Epoch: [ 56] [3100/4000] time: 33033.1915, dice0 = 0.03332, cross0 = 0.0331, kl0 = 0.0030, exclusion0 = 0.0331,     dice1 = 0.04892, cross1 = 0.0518, kl1 = 0.0084, exclusion1 = 0.0479
1.1900496
Epoch: [ 56] [3150/4000] time: 33040.5515, net0_loss = 0.08612, net0_acc = 0.9851, net0_test_acc = 0.9772,     net1_loss = 0.19907, net1_acc = 0.9650, net1_test_acc = 0.9439
Epoch: [ 56] [3150/4000] time: 33040.5515, dice0 = 0.03221, cross0 = 0.0429, kl0 = 0.0019, exclusion0 = 0.0201,     dice1 = 0.07472, cross1 = 0.0938, kl1 = 0.0061, exclusion1 = 0.0551
1.1037182
Epoch: [ 56] [3200/4000] time: 33047.9740, net0_loss = 0.05103, net0_acc = 0.9928, net0_test_acc = 0.9900,     net1_loss = 0.12081, net1_acc = 0.9816, net1_test_acc = 0.9510
Epoch: [ 56] [3200/4000] time: 33047.9740, dice0 = 0.02064, cross0 = 0.0175, kl0 = 0.0023, exclusion0 = 0.0233,     dice1 = 0.04770, cross1 = 0.0428, kl1 = 0.0071, exclusion1 = 0.0535
1.1575328
Epoch: [ 56] [3250/4000] time: 33055.4122, net0_loss = 0.10714, net0_acc = 0.9825, net0_test_acc = 0.9476,     net1_loss = 0.15152, net1_acc = 0.9766, net1_test_acc = 0.8234
Epoch: [ 56] [3250/4000] time: 33055.4122, dice0 = 0.04273, cross0 = 0.0434, kl0 = 0.0031, exclusion0 = 0.0388,     dice1 = 0.05714, cross1 = 0.0569, kl1 = 0.0103, exclusion1 = 0.0646
1.1976784
Epoch: [ 56] [3300/4000] time: 33062.8403, net0_loss = 0.11790, net0_acc = 0.9809, net0_test_acc = 0.9792,     net1_loss = 0.04229, net1_acc = 0.9941, net1_test_acc = 0.9036
Epoch: [ 56] [3300/4000] time: 33062.8403, dice0 = 0.04653, cross0 = 0.0454, kl0 = 0.0063, exclusion0 = 0.0456,     dice1 = 0.01644, cross1 = 0.0150, kl1 = 0.0023, exclusion1 = 0.0193
1.2132012
Epoch: [ 56] [3350/4000] time: 33070.2487, net0_loss = 0.35553, net0_acc = 0.9439, net0_test_acc = 0.9238,     net1_loss = 0.24829, net1_acc = 0.9555, net1_test_acc = 0.9575
Epoch: [ 56] [3350/4000] time: 33070.2488, dice0 = 0.12936, cross0 = 0.1596, kl0 = 0.0161, exclusion0 = 0.1170,     dice1 = 0.09177, cross1 = 0.1229, kl1 = 0.0065, exclusion1 = 0.0608
1.1602969
Epoch: [ 56] [3400/4000] time: 33077.5574, net0_loss = 0.04425, net0_acc = 0.9939, net0_test_acc = 0.9413,     net1_loss = 0.14579, net1_acc = 0.9757, net1_test_acc = 0.9798
Epoch: [ 56] [3400/4000] time: 33077.5574, dice0 = 0.01740, cross0 = 0.0139, kl0 = 0.0030, exclusion0 = 0.0229,     dice1 = 0.05439, cross1 = 0.0668, kl1 = 0.0048, exclusion1 = 0.0443
1.2400467
Epoch: [ 56] [3450/4000] time: 33084.9905, net0_loss = 0.04685, net0_acc = 0.9938, net0_test_acc = 0.8869,     net1_loss = 0.23131, net1_acc = 0.9579, net1_test_acc = 0.9559
Epoch: [ 56] [3450/4000] time: 33084.9906, dice0 = 0.01766, cross0 = 0.0184, kl0 = 0.0017, exclusion0 = 0.0199,     dice1 = 0.08676, cross1 = 0.1045, kl1 = 0.0124, exclusion1 = 0.0676
1.1232431
Epoch: [ 56] [3500/4000] time: 33092.4275, net0_loss = 0.11689, net0_acc = 0.9826, net0_test_acc = 0.9012,     net1_loss = 0.11519, net1_acc = 0.9813, net1_test_acc = 0.9644
Epoch: [ 56] [3500/4000] time: 33092.4276, dice0 = 0.04561, cross0 = 0.0428, kl0 = 0.0067, exclusion0 = 0.0503,     dice1 = 0.04384, cross1 = 0.0465, kl1 = 0.0062, exclusion1 = 0.0435
1.1333108
Epoch: [ 56] [3550/4000] time: 33099.8203, net0_loss = 0.04893, net0_acc = 0.9930, net0_test_acc = 0.9663,     net1_loss = 0.16571, net1_acc = 0.9713, net1_test_acc = 0.9649
Epoch: [ 56] [3550/4000] time: 33099.8204, dice0 = 0.01931, cross0 = 0.0170, kl0 = 0.0025, exclusion0 = 0.0228,     dice1 = 0.06115, cross1 = 0.0782, kl1 = 0.0070, exclusion1 = 0.0456
1.2673562
Epoch: [ 56] [3600/4000] time: 33107.2671, net0_loss = 0.08869, net0_acc = 0.9871, net0_test_acc = 0.9139,     net1_loss = 0.09046, net1_acc = 0.9837, net1_test_acc = 0.9731
Epoch: [ 56] [3600/4000] time: 33107.2671, dice0 = 0.03509, cross0 = 0.0300, kl0 = 0.0051, exclusion0 = 0.0421,     dice1 = 0.03619, cross1 = 0.0371, kl1 = 0.0037, exclusion1 = 0.0307
1.2795784
Epoch: [ 56] [3650/4000] time: 33114.6761, net0_loss = 0.21706, net0_acc = 0.9613, net0_test_acc = 0.9832,     net1_loss = 0.19457, net1_acc = 0.9704, net1_test_acc = 0.9559
Epoch: [ 56] [3650/4000] time: 33114.6762, dice0 = 0.08049, cross0 = 0.1076, kl0 = 0.0043, exclusion0 = 0.0537,     dice1 = 0.06731, cross1 = 0.0774, kl1 = 0.0208, exclusion1 = 0.0790
1.2250749
Epoch: [ 56] [3700/4000] time: 33122.0621, net0_loss = 0.21309, net0_acc = 0.9647, net0_test_acc = 0.7481,     net1_loss = 0.06446, net1_acc = 0.9896, net1_test_acc = 0.9141
Epoch: [ 56] [3700/4000] time: 33122.0621, dice0 = 0.07703, cross0 = 0.0851, kl0 = 0.0200, exclusion0 = 0.0819,     dice1 = 0.02524, cross1 = 0.0297, kl1 = 0.0013, exclusion1 = 0.0177
1.1544318
Epoch: [ 56] [3750/4000] time: 33129.5084, net0_loss = 0.08518, net0_acc = 0.9858, net0_test_acc = 0.9313,     net1_loss = 0.16417, net1_acc = 0.9724, net1_test_acc = 0.9489
Epoch: [ 56] [3750/4000] time: 33129.5084, dice0 = 0.03185, cross0 = 0.0342, kl0 = 0.0066, exclusion0 = 0.0317,     dice1 = 0.05745, cross1 = 0.0771, kl1 = 0.0122, exclusion1 = 0.0471
1.1372792
Epoch: [ 56] [3800/4000] time: 33136.7577, net0_loss = 0.06440, net0_acc = 0.9897, net0_test_acc = 0.9369,     net1_loss = 0.16345, net1_acc = 0.9733, net1_test_acc = 0.9486
Epoch: [ 56] [3800/4000] time: 33136.7578, dice0 = 0.02456, cross0 = 0.0285, kl0 = 0.0018, exclusion0 = 0.0209,     dice1 = 0.06546, cross1 = 0.0655, kl1 = 0.0042, exclusion1 = 0.0607
1.1417648
Epoch: [ 56] [3850/4000] time: 33144.3308, net0_loss = 0.14118, net0_acc = 0.9738, net0_test_acc = 0.9400,     net1_loss = 0.12034, net1_acc = 0.9815, net1_test_acc = 0.9261
Epoch: [ 56] [3850/4000] time: 33144.3308, dice0 = 0.05272, cross0 = 0.0751, kl0 = 0.0011, exclusion0 = 0.0257,     dice1 = 0.04394, cross1 = 0.0470, kl1 = 0.0110, exclusion1 = 0.0479
1.2535256
Epoch: [ 56] [3900/4000] time: 33151.6366, net0_loss = 0.11784, net0_acc = 0.9805, net0_test_acc = 0.8140,     net1_loss = 0.07952, net1_acc = 0.9866, net1_test_acc = 0.9239
Epoch: [ 56] [3900/4000] time: 33151.6366, dice0 = 0.04532, cross0 = 0.0496, kl0 = 0.0046, exclusion0 = 0.0411,     dice1 = 0.03020, cross1 = 0.0374, kl1 = 0.0020, exclusion1 = 0.0218
1.1698048
Epoch: [ 56] [3950/4000] time: 33159.2012, net0_loss = 0.10471, net0_acc = 0.9836, net0_test_acc = 0.8913,     net1_loss = 0.15234, net1_acc = 0.9760, net1_test_acc = 0.9388
Epoch: [ 56] [3950/4000] time: 33159.2013, dice0 = 0.03816, cross0 = 0.0478, kl0 = 0.0054, exclusion0 = 0.0321,     dice1 = 0.06032, cross1 = 0.0551, kl1 = 0.0069, exclusion1 = 0.0668
1.1204227
Epoch: [ 57] [  0/4000] time: 33166.6249, net0_loss = 0.14122, net0_acc = 0.9751, net0_test_acc = 0.9565,     net1_loss = 0.17783, net1_acc = 0.9711, net1_test_acc = 0.9316
Epoch: [ 57] [  0/4000] time: 33166.6249, dice0 = 0.05340, cross0 = 0.0665, kl0 = 0.0047, exclusion0 = 0.0379,     dice1 = 0.06751, cross1 = 0.0721, kl1 = 0.0098, exclusion1 = 0.0666
1.1667973
Epoch: [ 57] [ 50/4000] time: 33173.8941, net0_loss = 0.15544, net0_acc = 0.9783, net0_test_acc = 0.8273,     net1_loss = 0.05867, net1_acc = 0.9917, net1_test_acc = 0.9384
Epoch: [ 57] [ 50/4000] time: 33173.8941, dice0 = 0.05565, cross0 = 0.0548, kl0 = 0.0167, exclusion0 = 0.0734,     dice1 = 0.02455, cross1 = 0.0196, kl1 = 0.0014, exclusion1 = 0.0277
1.1243987
Epoch: [ 57] [100/4000] time: 33181.3877, net0_loss = 0.15155, net0_acc = 0.9729, net0_test_acc = 0.9690,     net1_loss = 0.09065, net1_acc = 0.9849, net1_test_acc = 0.9527
Epoch: [ 57] [100/4000] time: 33181.3877, dice0 = 0.05799, cross0 = 0.0743, kl0 = 0.0026, exclusion0 = 0.0360,     dice1 = 0.03539, cross1 = 0.0381, kl1 = 0.0027, exclusion1 = 0.0316
1.1718806
Epoch: [ 57] [150/4000] time: 33188.8675, net0_loss = 0.20778, net0_acc = 0.9654, net0_test_acc = 0.9493,     net1_loss = 0.22159, net1_acc = 0.9669, net1_test_acc = 0.9898
Epoch: [ 57] [150/4000] time: 33188.8676, dice0 = 0.07107, cross0 = 0.0959, kl0 = 0.0162, exclusion0 = 0.0654,     dice1 = 0.08245, cross1 = 0.0887, kl1 = 0.0191, exclusion1 = 0.0818
1.0946082
Epoch: [ 57] [200/4000] time: 33196.2875, net0_loss = 0.14182, net0_acc = 0.9774, net0_test_acc = 0.9617,     net1_loss = 0.09252, net1_acc = 0.9878, net1_test_acc = 0.9060
Epoch: [ 57] [200/4000] time: 33196.2876, dice0 = 0.05346, cross0 = 0.0589, kl0 = 0.0075, exclusion0 = 0.0514,     dice1 = 0.03695, cross1 = 0.0301, kl1 = 0.0048, exclusion1 = 0.0461
1.1587447
Epoch: [ 57] [250/4000] time: 33203.6749, net0_loss = 0.12660, net0_acc = 0.9825, net0_test_acc = 0.8795,     net1_loss = 0.06651, net1_acc = 0.9916, net1_test_acc = 0.9253
Epoch: [ 57] [250/4000] time: 33203.6750, dice0 = 0.04725, cross0 = 0.0417, kl0 = 0.0104, exclusion0 = 0.0650,     dice1 = 0.02573, cross1 = 0.0211, kl1 = 0.0045, exclusion1 = 0.0349
1.1416259
Epoch: [ 57] [300/4000] time: 33211.0925, net0_loss = 0.29252, net0_acc = 0.9571, net0_test_acc = 0.8222,     net1_loss = 0.36102, net1_acc = 0.9366, net1_test_acc = 0.9534
Epoch: [ 57] [300/4000] time: 33211.0925, dice0 = 0.10528, cross0 = 0.1156, kl0 = 0.0217, exclusion0 = 0.1216,     dice1 = 0.12777, cross1 = 0.1706, kl1 = 0.0179, exclusion1 = 0.1074
1.1102307
Epoch: [ 57] [350/4000] time: 33218.5039, net0_loss = 0.13750, net0_acc = 0.9768, net0_test_acc = 0.9814,     net1_loss = 0.13188, net1_acc = 0.9844, net1_test_acc = 0.8637
Epoch: [ 57] [350/4000] time: 33218.5039, dice0 = 0.05403, cross0 = 0.0570, kl0 = 0.0048, exclusion0 = 0.0482,     dice1 = 0.04560, cross1 = 0.0380, kl1 = 0.0191, exclusion1 = 0.0776
1.2025741
Epoch: [ 57] [400/4000] time: 33225.9226, net0_loss = 0.06628, net0_acc = 0.9916, net0_test_acc = 0.9604,     net1_loss = 0.10545, net1_acc = 0.9838, net1_test_acc = 0.9628
Epoch: [ 57] [400/4000] time: 33225.9227, dice0 = 0.02655, cross0 = 0.0207, kl0 = 0.0039, exclusion0 = 0.0341,     dice1 = 0.04266, cross1 = 0.0399, kl1 = 0.0030, exclusion1 = 0.0427
1.141237
Epoch: [ 57] [450/4000] time: 33233.2801, net0_loss = 0.10289, net0_acc = 0.9817, net0_test_acc = 0.8914,     net1_loss = 0.19296, net1_acc = 0.9653, net1_test_acc = 0.9298
Epoch: [ 57] [450/4000] time: 33233.2801, dice0 = 0.03861, cross0 = 0.0507, kl0 = 0.0023, exclusion0 = 0.0248,     dice1 = 0.07321, cross1 = 0.0879, kl1 = 0.0074, exclusion1 = 0.0563
1.1140141
Epoch: [ 57] [500/4000] time: 33240.6173, net0_loss = 0.24382, net0_acc = 0.9607, net0_test_acc = 0.9600,     net1_loss = 0.11873, net1_acc = 0.9796, net1_test_acc = 0.8887
Epoch: [ 57] [500/4000] time: 33240.6173, dice0 = 0.08859, cross0 = 0.1031, kl0 = 0.0155, exclusion0 = 0.0888,     dice1 = 0.04645, cross1 = 0.0523, kl1 = 0.0025, exclusion1 = 0.0375
1.14837
Epoch: [ 57] [550/4000] time: 33248.0662, net0_loss = 0.17904, net0_acc = 0.9736, net0_test_acc = 0.9712,     net1_loss = 0.04764, net1_acc = 0.9929, net1_test_acc = 0.9571
Epoch: [ 57] [550/4000] time: 33248.0663, dice0 = 0.06420, cross0 = 0.0662, kl0 = 0.0170, exclusion0 = 0.0802,     dice1 = 0.01929, cross1 = 0.0174, kl1 = 0.0025, exclusion1 = 0.0193
1.1819025
Epoch: [ 57] [600/4000] time: 33255.4994, net0_loss = 0.14273, net0_acc = 0.9833, net0_test_acc = 0.9519,     net1_loss = 0.17357, net1_acc = 0.9709, net1_test_acc = 0.9455
Epoch: [ 57] [600/4000] time: 33255.4994, dice0 = 0.04005, cross0 = 0.0415, kl0 = 0.0314, exclusion0 = 0.0909,     dice1 = 0.06499, cross1 = 0.0767, kl1 = 0.0096, exclusion1 = 0.0542
1.1315413
Epoch: [ 57] [650/4000] time: 33262.9265, net0_loss = 0.11644, net0_acc = 0.9811, net0_test_acc = 0.9382,     net1_loss = 0.23873, net1_acc = 0.9648, net1_test_acc = 0.7778
Epoch: [ 57] [650/4000] time: 33262.9266, dice0 = 0.04585, cross0 = 0.0467, kl0 = 0.0044, exclusion0 = 0.0435,     dice1 = 0.08290, cross1 = 0.0909, kl1 = 0.0258, exclusion1 = 0.1041
1.2309613
Epoch: [ 57] [700/4000] time: 33270.3359, net0_loss = 0.13313, net0_acc = 0.9796, net0_test_acc = 0.8721,     net1_loss = 0.03451, net1_acc = 0.9954, net1_test_acc = 0.9003
Epoch: [ 57] [700/4000] time: 33270.3359, dice0 = 0.04675, cross0 = 0.0570, kl0 = 0.0097, exclusion0 = 0.0491,     dice1 = 0.01390, cross1 = 0.0126, kl1 = 0.0013, exclusion1 = 0.0147
1.1010853
Epoch: [ 57] [750/4000] time: 33277.7225, net0_loss = 0.21818, net0_acc = 0.9627, net0_test_acc = 0.9141,     net1_loss = 0.30458, net1_acc = 0.9481, net1_test_acc = 0.8053
Epoch: [ 57] [750/4000] time: 33277.7225, dice0 = 0.08013, cross0 = 0.0994, kl0 = 0.0101, exclusion0 = 0.0673,     dice1 = 0.10756, cross1 = 0.1524, kl1 = 0.0119, exclusion1 = 0.0773
1.1589698
Epoch: [ 57] [800/4000] time: 33285.1474, net0_loss = 0.08830, net0_acc = 0.9867, net0_test_acc = 0.9418,     net1_loss = 0.06672, net1_acc = 0.9890, net1_test_acc = 0.9425
Epoch: [ 57] [800/4000] time: 33285.1475, dice0 = 0.03374, cross0 = 0.0315, kl0 = 0.0056, exclusion0 = 0.0405,     dice1 = 0.02717, cross1 = 0.0254, kl1 = 0.0024, exclusion1 = 0.0260
1.1435585
Epoch: [ 57] [850/4000] time: 33292.5939, net0_loss = 0.11536, net0_acc = 0.9828, net0_test_acc = 0.9135,     net1_loss = 0.13478, net1_acc = 0.9794, net1_test_acc = 0.9407
Epoch: [ 57] [850/4000] time: 33292.5940, dice0 = 0.04288, cross0 = 0.0469, kl0 = 0.0068, exclusion0 = 0.0444,     dice1 = 0.05342, cross1 = 0.0468, kl1 = 0.0082, exclusion1 = 0.0608
1.1073774
Epoch: [ 57] [900/4000] time: 33299.9600, net0_loss = 0.15968, net0_acc = 0.9724, net0_test_acc = 0.9714,     net1_loss = 0.17057, net1_acc = 0.9687, net1_test_acc = 0.9416
Epoch: [ 57] [900/4000] time: 33299.9600, dice0 = 0.05843, cross0 = 0.0793, kl0 = 0.0047, exclusion0 = 0.0393,     dice1 = 0.06334, cross1 = 0.0807, kl1 = 0.0071, exclusion1 = 0.0459
1.1846181
Epoch: [ 57] [950/4000] time: 33307.3737, net0_loss = 0.09140, net0_acc = 0.9869, net0_test_acc = 0.9455,     net1_loss = 0.13804, net1_acc = 0.9760, net1_test_acc = 0.8627
Epoch: [ 57] [950/4000] time: 33307.3738, dice0 = 0.03438, cross0 = 0.0355, kl0 = 0.0055, exclusion0 = 0.0376,     dice1 = 0.05375, cross1 = 0.0575, kl1 = 0.0077, exclusion1 = 0.0460
1.1975102
Epoch: [ 57] [1000/4000] time: 33314.7653, net0_loss = 0.02619, net0_acc = 0.9966, net0_test_acc = 0.9492,     net1_loss = 0.10558, net1_acc = 0.9818, net1_test_acc = 0.9780
Epoch: [ 57] [1000/4000] time: 33314.7654, dice0 = 0.00970, cross0 = 0.0098, kl0 = 0.0013, exclusion0 = 0.0122,     dice1 = 0.04141, cross1 = 0.0467, kl1 = 0.0025, exclusion1 = 0.0325
1.1563087
Epoch: [ 57] [1050/4000] time: 33322.1797, net0_loss = 0.14676, net0_acc = 0.9755, net0_test_acc = 0.8626,     net1_loss = 0.07245, net1_acc = 0.9892, net1_test_acc = 0.8495
Epoch: [ 57] [1050/4000] time: 33322.1798, dice0 = 0.05765, cross0 = 0.0619, kl0 = 0.0061, exclusion0 = 0.0484,     dice1 = 0.02836, cross1 = 0.0316, kl1 = 0.0022, exclusion1 = 0.0229
1.2582432
Epoch: [ 57] [1100/4000] time: 33329.5857, net0_loss = 0.09955, net0_acc = 0.9831, net0_test_acc = 0.9295,     net1_loss = 0.14145, net1_acc = 0.9798, net1_test_acc = 0.9036
Epoch: [ 57] [1100/4000] time: 33329.5858, dice0 = 0.03872, cross0 = 0.0460, kl0 = 0.0019, exclusion0 = 0.0277,     dice1 = 0.04567, cross1 = 0.0788, kl1 = 0.0044, exclusion1 = 0.0296
1.0920203
Epoch: [ 57] [1150/4000] time: 33336.9590, net0_loss = 0.10857, net0_acc = 0.9838, net0_test_acc = 0.9371,     net1_loss = 0.25058, net1_acc = 0.9591, net1_test_acc = 0.9503
Epoch: [ 57] [1150/4000] time: 33336.9591, dice0 = 0.04216, cross0 = 0.0406, kl0 = 0.0064, exclusion0 = 0.0453,     dice1 = 0.08883, cross1 = 0.1162, kl1 = 0.0129, exclusion1 = 0.0782
1.0652806
Epoch: [ 57] [1200/4000] time: 33344.4048, net0_loss = 0.04158, net0_acc = 0.9961, net0_test_acc = 0.9386,     net1_loss = 0.08575, net1_acc = 0.9863, net1_test_acc = 0.9903
Epoch: [ 57] [1200/4000] time: 33344.4049, dice0 = 0.01522, cross0 = 0.0143, kl0 = 0.0027, exclusion0 = 0.0215,     dice1 = 0.03445, cross1 = 0.0333, kl1 = 0.0030, exclusion1 = 0.0330
1.2516556
Epoch: [ 57] [1250/4000] time: 33351.7894, net0_loss = 0.52193, net0_acc = 0.9076, net0_test_acc = 0.9408,     net1_loss = 0.13038, net1_acc = 0.9772, net1_test_acc = 0.8001
Epoch: [ 57] [1250/4000] time: 33351.7895, dice0 = 0.18021, cross0 = 0.2690, kl0 = 0.0159, exclusion0 = 0.1295,     dice1 = 0.05082, cross1 = 0.0584, kl1 = 0.0035, exclusion1 = 0.0389
1.1777333
Epoch: [ 57] [1300/4000] time: 33359.2101, net0_loss = 0.10475, net0_acc = 0.9825, net0_test_acc = 0.8808,     net1_loss = 0.21024, net1_acc = 0.9627, net1_test_acc = 0.9858
Epoch: [ 57] [1300/4000] time: 33359.2101, dice0 = 0.04160, cross0 = 0.0418, kl0 = 0.0035, exclusion0 = 0.0391,     dice1 = 0.07394, cross1 = 0.1124, kl1 = 0.0080, exclusion1 = 0.0398
1.1562719
Epoch: [ 57] [1350/4000] time: 33366.6180, net0_loss = 0.05766, net0_acc = 0.9925, net0_test_acc = 0.9687,     net1_loss = 0.13298, net1_acc = 0.9794, net1_test_acc = 0.9090
Epoch: [ 57] [1350/4000] time: 33366.6180, dice0 = 0.02210, cross0 = 0.0178, kl0 = 0.0053, exclusion0 = 0.0303,     dice1 = 0.05218, cross1 = 0.0501, kl1 = 0.0077, exclusion1 = 0.0538
1.097974
Epoch: [ 57] [1400/4000] time: 33373.9747, net0_loss = 0.16850, net0_acc = 0.9715, net0_test_acc = 0.8451,     net1_loss = 0.20313, net1_acc = 0.9656, net1_test_acc = 0.9116
Epoch: [ 57] [1400/4000] time: 33373.9747, dice0 = 0.06598, cross0 = 0.0693, kl0 = 0.0071, exclusion0 = 0.0594,     dice1 = 0.07833, cross1 = 0.0843, kl1 = 0.0133, exclusion1 = 0.0676
1.2757223
Epoch: [ 57] [1450/4000] time: 33381.1989, net0_loss = 0.12010, net0_acc = 0.9833, net0_test_acc = 0.9239,     net1_loss = 0.03888, net1_acc = 0.9945, net1_test_acc = 0.7791
Epoch: [ 57] [1450/4000] time: 33381.1989, dice0 = 0.04646, cross0 = 0.0391, kl0 = 0.0110, exclusion0 = 0.0582,     dice1 = 0.01546, cross1 = 0.0153, kl1 = 0.0011, exclusion1 = 0.0153
1.2491987
Epoch: [ 57] [1500/4000] time: 33388.7058, net0_loss = 0.04773, net0_acc = 0.9926, net0_test_acc = 0.8809,     net1_loss = 0.16874, net1_acc = 0.9721, net1_test_acc = 0.8996
Epoch: [ 57] [1500/4000] time: 33388.7059, dice0 = 0.01858, cross0 = 0.0192, kl0 = 0.0020, exclusion0 = 0.0178,     dice1 = 0.06510, cross1 = 0.0743, kl1 = 0.0038, exclusion1 = 0.0548
1.1250441
Epoch: [ 57] [1550/4000] time: 33396.2920, net0_loss = 0.10073, net0_acc = 0.9831, net0_test_acc = 0.9328,     net1_loss = 0.14002, net1_acc = 0.9805, net1_test_acc = 0.9226
Epoch: [ 57] [1550/4000] time: 33396.2920, dice0 = 0.03953, cross0 = 0.0375, kl0 = 0.0073, exclusion0 = 0.0400,     dice1 = 0.04383, cross1 = 0.0846, kl1 = 0.0032, exclusion1 = 0.0200
1.3465306
Epoch: [ 57] [1600/4000] time: 33403.7089, net0_loss = 0.13618, net0_acc = 0.9781, net0_test_acc = 0.9101,     net1_loss = 0.08861, net1_acc = 0.9868, net1_test_acc = 0.9330
Epoch: [ 57] [1600/4000] time: 33403.7090, dice0 = 0.04983, cross0 = 0.0636, kl0 = 0.0056, exclusion0 = 0.0399,     dice1 = 0.03308, cross1 = 0.0337, kl1 = 0.0066, exclusion1 = 0.0370
1.3084708
Epoch: [ 57] [1650/4000] time: 33411.0952, net0_loss = 0.26853, net0_acc = 0.9563, net0_test_acc = 0.9310,     net1_loss = 0.23440, net1_acc = 0.9632, net1_test_acc = 0.9653
Epoch: [ 57] [1650/4000] time: 33411.0953, dice0 = 0.09608, cross0 = 0.1217, kl0 = 0.0145, exclusion0 = 0.0870,     dice1 = 0.07405, cross1 = 0.1340, kl1 = 0.0108, exclusion1 = 0.0418
1.1008576
Epoch: [ 57] [1700/4000] time: 33418.4847, net0_loss = 0.27322, net0_acc = 0.9518, net0_test_acc = 0.9801,     net1_loss = 0.10833, net1_acc = 0.9836, net1_test_acc = 0.9899
Epoch: [ 57] [1700/4000] time: 33418.4848, dice0 = 0.10472, cross0 = 0.1197, kl0 = 0.0100, exclusion0 = 0.0877,     dice1 = 0.04376, cross1 = 0.0378, kl1 = 0.0076, exclusion1 = 0.0458
1.2779775
Epoch: [ 57] [1750/4000] time: 33425.8732, net0_loss = 0.15378, net0_acc = 0.9758, net0_test_acc = 0.9617,     net1_loss = 0.08523, net1_acc = 0.9863, net1_test_acc = 0.9561
Epoch: [ 57] [1750/4000] time: 33425.8732, dice0 = 0.05766, cross0 = 0.0656, kl0 = 0.0083, exclusion0 = 0.0529,     dice1 = 0.03322, cross1 = 0.0322, kl1 = 0.0043, exclusion1 = 0.0353
1.1485221
Epoch: [ 57] [1800/4000] time: 33433.2879, net0_loss = 0.21621, net0_acc = 0.9659, net0_test_acc = 0.9758,     net1_loss = 0.18467, net1_acc = 0.9709, net1_test_acc = 0.9238
Epoch: [ 57] [1800/4000] time: 33433.2879, dice0 = 0.07209, cross0 = 0.1117, kl0 = 0.0113, exclusion0 = 0.0535,     dice1 = 0.07099, cross1 = 0.0648, kl1 = 0.0131, exclusion1 = 0.0846
1.1091055
Epoch: [ 57] [1850/4000] time: 33440.6506, net0_loss = 0.28619, net0_acc = 0.9517, net0_test_acc = 0.8839,     net1_loss = 0.12319, net1_acc = 0.9807, net1_test_acc = 0.9890
Epoch: [ 57] [1850/4000] time: 33440.6507, dice0 = 0.10525, cross0 = 0.1191, kl0 = 0.0232, exclusion0 = 0.1005,     dice1 = 0.04748, cross1 = 0.0455, kl1 = 0.0076, exclusion1 = 0.0529
1.2324879
Epoch: [ 57] [1900/4000] time: 33448.0202, net0_loss = 0.13805, net0_acc = 0.9747, net0_test_acc = 0.9308,     net1_loss = 0.10288, net1_acc = 0.9877, net1_test_acc = 0.9893
Epoch: [ 57] [1900/4000] time: 33448.0203, dice0 = 0.05446, cross0 = 0.0629, kl0 = 0.0026, exclusion0 = 0.0387,     dice1 = 0.03836, cross1 = 0.0323, kl1 = 0.0111, exclusion1 = 0.0534
1.147701
Epoch: [ 57] [1950/4000] time: 33455.4673, net0_loss = 0.24291, net0_acc = 0.9614, net0_test_acc = 0.9089,     net1_loss = 0.07230, net1_acc = 0.9898, net1_test_acc = 0.9076
Epoch: [ 57] [1950/4000] time: 33455.4674, dice0 = 0.08564, cross0 = 0.1152, kl0 = 0.0100, exclusion0 = 0.0741,     dice1 = 0.02686, cross1 = 0.0304, kl1 = 0.0035, exclusion1 = 0.0266
1.2093236
Epoch: [ 57] [2000/4000] time: 33462.8411, net0_loss = 0.25565, net0_acc = 0.9585, net0_test_acc = 0.9660,     net1_loss = 0.08221, net1_acc = 0.9883, net1_test_acc = 0.9603
Epoch: [ 57] [2000/4000] time: 33462.8412, dice0 = 0.08767, cross0 = 0.1241, kl0 = 0.0145, exclusion0 = 0.0732,     dice1 = 0.03358, cross1 = 0.0263, kl1 = 0.0043, exclusion1 = 0.0405
1.1712261
Epoch: [ 57] [2050/4000] time: 33470.2285, net0_loss = 0.14448, net0_acc = 0.9764, net0_test_acc = 0.7512,     net1_loss = 0.27638, net1_acc = 0.9522, net1_test_acc = 0.8934
Epoch: [ 57] [2050/4000] time: 33470.2286, dice0 = 0.05272, cross0 = 0.0617, kl0 = 0.0107, exclusion0 = 0.0495,     dice1 = 0.09955, cross1 = 0.1316, kl1 = 0.0144, exclusion1 = 0.0760
1.1811204
Epoch: [ 57] [2100/4000] time: 33477.5922, net0_loss = 0.08701, net0_acc = 0.9871, net0_test_acc = 0.8382,     net1_loss = 0.08957, net1_acc = 0.9843, net1_test_acc = 0.8326
Epoch: [ 57] [2100/4000] time: 33477.5923, dice0 = 0.03548, cross0 = 0.0308, kl0 = 0.0027, exclusion0 = 0.0388,     dice1 = 0.03502, cross1 = 0.0408, kl1 = 0.0017, exclusion1 = 0.0257
1.264811
Epoch: [ 57] [2150/4000] time: 33485.0087, net0_loss = 0.15517, net0_acc = 0.9732, net0_test_acc = 0.9851,     net1_loss = 0.09772, net1_acc = 0.9836, net1_test_acc = 0.9716
Epoch: [ 57] [2150/4000] time: 33485.0088, dice0 = 0.05685, cross0 = 0.0789, kl0 = 0.0041, exclusion0 = 0.0346,     dice1 = 0.03916, cross1 = 0.0414, kl1 = 0.0024, exclusion1 = 0.0320
1.1311095
Epoch: [ 57] [2200/4000] time: 33492.4373, net0_loss = 0.07862, net0_acc = 0.9898, net0_test_acc = 0.9278,     net1_loss = 0.09934, net1_acc = 0.9851, net1_test_acc = 0.9376
Epoch: [ 57] [2200/4000] time: 33492.4374, dice0 = 0.03013, cross0 = 0.0247, kl0 = 0.0058, exclusion0 = 0.0418,     dice1 = 0.03858, cross1 = 0.0349, kl1 = 0.0078, exclusion1 = 0.0440
1.1703616
Epoch: [ 57] [2250/4000] time: 33499.8780, net0_loss = 0.24258, net0_acc = 0.9645, net0_test_acc = 0.9538,     net1_loss = 0.29877, net1_acc = 0.9576, net1_test_acc = 0.9807
Epoch: [ 57] [2250/4000] time: 33499.8780, dice0 = 0.08654, cross0 = 0.0900, kl0 = 0.0263, exclusion0 = 0.1057,     dice1 = 0.09954, cross1 = 0.1284, kl1 = 0.0260, exclusion1 = 0.1156
1.1009189
Epoch: [ 57] [2300/4000] time: 33507.2551, net0_loss = 0.05680, net0_acc = 0.9928, net0_test_acc = 0.8837,     net1_loss = 0.08708, net1_acc = 0.9863, net1_test_acc = 0.9762
Epoch: [ 57] [2300/4000] time: 33507.2552, dice0 = 0.02331, cross0 = 0.0178, kl0 = 0.0017, exclusion0 = 0.0296,     dice1 = 0.03454, cross1 = 0.0333, kl1 = 0.0030, exclusion1 = 0.0356
1.1810733
Epoch: [ 57] [2350/4000] time: 33514.6885, net0_loss = 0.11309, net0_acc = 0.9843, net0_test_acc = 0.9599,     net1_loss = 0.15275, net1_acc = 0.9728, net1_test_acc = 0.9331
Epoch: [ 57] [2350/4000] time: 33514.6885, dice0 = 0.04519, cross0 = 0.0361, kl0 = 0.0054, exclusion0 = 0.0583,     dice1 = 0.05712, cross1 = 0.0763, kl1 = 0.0026, exclusion1 = 0.0360
1.0978943
Epoch: [ 57] [2400/4000] time: 33522.1218, net0_loss = 0.07301, net0_acc = 0.9904, net0_test_acc = 0.9366,     net1_loss = 0.10943, net1_acc = 0.9836, net1_test_acc = 0.9251
Epoch: [ 57] [2400/4000] time: 33522.1218, dice0 = 0.02892, cross0 = 0.0249, kl0 = 0.0031, exclusion0 = 0.0353,     dice1 = 0.04261, cross1 = 0.0414, kl1 = 0.0062, exclusion1 = 0.0446
1.2502844
Epoch: [ 57] [2450/4000] time: 33529.5185, net0_loss = 0.05484, net0_acc = 0.9917, net0_test_acc = 0.9721,     net1_loss = 0.04635, net1_acc = 0.9931, net1_test_acc = 0.9093
Epoch: [ 57] [2450/4000] time: 33529.5185, dice0 = 0.02103, cross0 = 0.0207, kl0 = 0.0027, exclusion0 = 0.0235,     dice1 = 0.01785, cross1 = 0.0188, kl1 = 0.0019, exclusion1 = 0.0176
1.1806111
Epoch: [ 57] [2500/4000] time: 33536.9055, net0_loss = 0.04784, net0_acc = 0.9942, net0_test_acc = 0.7668,     net1_loss = 0.14112, net1_acc = 0.9799, net1_test_acc = 0.9458
Epoch: [ 57] [2500/4000] time: 33536.9056, dice0 = 0.01611, cross0 = 0.0180, kl0 = 0.0054, exclusion0 = 0.0220,     dice1 = 0.04645, cross1 = 0.0703, kl1 = 0.0070, exclusion1 = 0.0417
1.1808522
Epoch: [ 57] [2550/4000] time: 33544.3511, net0_loss = 0.14696, net0_acc = 0.9755, net0_test_acc = 0.8873,     net1_loss = 0.10732, net1_acc = 0.9825, net1_test_acc = 0.8126
Epoch: [ 57] [2550/4000] time: 33544.3512, dice0 = 0.05586, cross0 = 0.0575, kl0 = 0.0100, exclusion0 = 0.0573,     dice1 = 0.04052, cross1 = 0.0470, kl1 = 0.0049, exclusion1 = 0.0347
1.1568174
Epoch: [ 57] [2600/4000] time: 33551.7792, net0_loss = 0.10847, net0_acc = 0.9820, net0_test_acc = 0.8850,     net1_loss = 0.15028, net1_acc = 0.9767, net1_test_acc = 0.9653
Epoch: [ 57] [2600/4000] time: 33551.7792, dice0 = 0.04104, cross0 = 0.0501, kl0 = 0.0030, exclusion0 = 0.0316,     dice1 = 0.05476, cross1 = 0.0565, kl1 = 0.0145, exclusion1 = 0.0635
1.122166
Epoch: [ 57] [2650/4000] time: 33559.1574, net0_loss = 0.09395, net0_acc = 0.9859, net0_test_acc = 0.9161,     net1_loss = 0.09738, net1_acc = 0.9848, net1_test_acc = 0.9780
Epoch: [ 57] [2650/4000] time: 33559.1575, dice0 = 0.03654, cross0 = 0.0340, kl0 = 0.0067, exclusion0 = 0.0401,     dice1 = 0.03991, cross1 = 0.0360, kl1 = 0.0024, exclusion1 = 0.0404
1.088424
Epoch: [ 57] [2700/4000] time: 33566.5773, net0_loss = 0.07748, net0_acc = 0.9879, net0_test_acc = 0.9230,     net1_loss = 0.03613, net1_acc = 0.9946, net1_test_acc = 0.9192
Epoch: [ 57] [2700/4000] time: 33566.5774, dice0 = 0.02984, cross0 = 0.0310, kl0 = 0.0033, exclusion0 = 0.0300,     dice1 = 0.01465, cross1 = 0.0140, kl1 = 0.0012, exclusion1 = 0.0139
1.122785
Epoch: [ 57] [2750/4000] time: 33573.9683, net0_loss = 0.18801, net0_acc = 0.9704, net0_test_acc = 0.9581,     net1_loss = 0.09933, net1_acc = 0.9846, net1_test_acc = 0.9090
Epoch: [ 57] [2750/4000] time: 33573.9684, dice0 = 0.06989, cross0 = 0.0704, kl0 = 0.0158, exclusion0 = 0.0796,     dice1 = 0.03918, cross1 = 0.0358, kl1 = 0.0049, exclusion1 = 0.0438
1.1237798
Epoch: [ 57] [2800/4000] time: 33581.3643, net0_loss = 0.09781, net0_acc = 0.9844, net0_test_acc = 0.7814,     net1_loss = 0.17274, net1_acc = 0.9691, net1_test_acc = 0.8287
Epoch: [ 57] [2800/4000] time: 33581.3643, dice0 = 0.03597, cross0 = 0.0429, kl0 = 0.0047, exclusion0 = 0.0332,     dice1 = 0.06418, cross1 = 0.0883, kl1 = 0.0025, exclusion1 = 0.0380
1.1427039
Epoch: [ 57] [2850/4000] time: 33588.6996, net0_loss = 0.11182, net0_acc = 0.9831, net0_test_acc = 0.8168,     net1_loss = 0.16070, net1_acc = 0.9734, net1_test_acc = 0.8166
Epoch: [ 57] [2850/4000] time: 33588.6997, dice0 = 0.04305, cross0 = 0.0456, kl0 = 0.0057, exclusion0 = 0.0407,     dice1 = 0.05891, cross1 = 0.0798, kl1 = 0.0039, exclusion1 = 0.0400
1.0962327
Epoch: [ 57] [2900/4000] time: 33596.2015, net0_loss = 0.07837, net0_acc = 0.9887, net0_test_acc = 0.9787,     net1_loss = 0.06517, net1_acc = 0.9897, net1_test_acc = 0.9498
Epoch: [ 57] [2900/4000] time: 33596.2015, dice0 = 0.03115, cross0 = 0.0273, kl0 = 0.0031, exclusion0 = 0.0368,     dice1 = 0.02614, cross1 = 0.0257, kl1 = 0.0023, exclusion1 = 0.0244
1.2121991
Epoch: [ 57] [2950/4000] time: 33603.5741, net0_loss = 0.18734, net0_acc = 0.9719, net0_test_acc = 0.9894,     net1_loss = 0.08976, net1_acc = 0.9851, net1_test_acc = 0.9519
Epoch: [ 57] [2950/4000] time: 33603.5742, dice0 = 0.06499, cross0 = 0.0804, kl0 = 0.0133, exclusion0 = 0.0706,     dice1 = 0.03505, cross1 = 0.0369, kl1 = 0.0039, exclusion1 = 0.0317
1.2276177
Epoch: [ 57] [3000/4000] time: 33611.0012, net0_loss = 0.09914, net0_acc = 0.9858, net0_test_acc = 0.9444,     net1_loss = 0.27183, net1_acc = 0.9548, net1_test_acc = 0.7717
Epoch: [ 57] [3000/4000] time: 33611.0013, dice0 = 0.04071, cross0 = 0.0328, kl0 = 0.0036, exclusion0 = 0.0477,     dice1 = 0.10556, cross1 = 0.1058, kl1 = 0.0130, exclusion1 = 0.1080
1.1012257
Epoch: [ 57] [3050/4000] time: 33618.3976, net0_loss = 0.06464, net0_acc = 0.9906, net0_test_acc = 0.9771,     net1_loss = 0.08735, net1_acc = 0.9879, net1_test_acc = 0.8851
Epoch: [ 57] [3050/4000] time: 33618.3977, dice0 = 0.02527, cross0 = 0.0238, kl0 = 0.0025, exclusion0 = 0.0286,     dice1 = 0.03596, cross1 = 0.0290, kl1 = 0.0046, exclusion1 = 0.0402
1.2590259
Epoch: [ 57] [3100/4000] time: 33625.7538, net0_loss = 0.12948, net0_acc = 0.9795, net0_test_acc = 0.9504,     net1_loss = 0.29562, net1_acc = 0.9531, net1_test_acc = 0.9620
Epoch: [ 57] [3100/4000] time: 33625.7539, dice0 = 0.05081, cross0 = 0.0481, kl0 = 0.0068, exclusion0 = 0.0543,     dice1 = 0.09812, cross1 = 0.1634, kl1 = 0.0068, exclusion1 = 0.0614
1.1278586
Epoch: [ 57] [3150/4000] time: 33633.1922, net0_loss = 0.09149, net0_acc = 0.9839, net0_test_acc = 0.9461,     net1_loss = 0.16601, net1_acc = 0.9740, net1_test_acc = 0.9781
Epoch: [ 57] [3150/4000] time: 33633.1923, dice0 = 0.03571, cross0 = 0.0441, kl0 = 0.0012, exclusion0 = 0.0223,     dice1 = 0.06620, cross1 = 0.0613, kl1 = 0.0077, exclusion1 = 0.0694
1.0649784
Epoch: [ 57] [3200/4000] time: 33640.5642, net0_loss = 0.08384, net0_acc = 0.9877, net0_test_acc = 0.8958,     net1_loss = 0.20312, net1_acc = 0.9645, net1_test_acc = 0.9547
Epoch: [ 57] [3200/4000] time: 33640.5643, dice0 = 0.03407, cross0 = 0.0285, kl0 = 0.0034, exclusion0 = 0.0392,     dice1 = 0.07837, cross1 = 0.0894, kl1 = 0.0068, exclusion1 = 0.0638
1.1908101
Epoch: [ 57] [3250/4000] time: 33647.9556, net0_loss = 0.08349, net0_acc = 0.9854, net0_test_acc = 0.9056,     net1_loss = 0.19898, net1_acc = 0.9655, net1_test_acc = 0.9612
Epoch: [ 57] [3250/4000] time: 33647.9557, dice0 = 0.03321, cross0 = 0.0344, kl0 = 0.0030, exclusion0 = 0.0288,     dice1 = 0.07435, cross1 = 0.0970, kl1 = 0.0049, exclusion1 = 0.0504
1.1130402
Epoch: [ 57] [3300/4000] time: 33655.3647, net0_loss = 0.12854, net0_acc = 0.9771, net0_test_acc = 0.9664,     net1_loss = 0.19910, net1_acc = 0.9701, net1_test_acc = 0.9456
Epoch: [ 57] [3300/4000] time: 33655.3648, dice0 = 0.05197, cross0 = 0.0547, kl0 = 0.0022, exclusion0 = 0.0415,     dice1 = 0.07580, cross1 = 0.0719, kl1 = 0.0142, exclusion1 = 0.0885
1.1436558
Epoch: [ 57] [3350/4000] time: 33662.7532, net0_loss = 0.05885, net0_acc = 0.9934, net0_test_acc = 0.9195,     net1_loss = 0.14284, net1_acc = 0.9806, net1_test_acc = 0.9692
Epoch: [ 57] [3350/4000] time: 33662.7533, dice0 = 0.02398, cross0 = 0.0183, kl0 = 0.0037, exclusion0 = 0.0295,     dice1 = 0.05845, cross1 = 0.0462, kl1 = 0.0052, exclusion1 = 0.0711
1.216891
Epoch: [ 57] [3400/4000] time: 33670.2011, net0_loss = 0.24194, net0_acc = 0.9592, net0_test_acc = 0.9800,     net1_loss = 0.11036, net1_acc = 0.9845, net1_test_acc = 0.9507
Epoch: [ 57] [3400/4000] time: 33670.2012, dice0 = 0.08912, cross0 = 0.1040, kl0 = 0.0124, exclusion0 = 0.0852,     dice1 = 0.04283, cross1 = 0.0360, kl1 = 0.0078, exclusion1 = 0.0551
1.2517881
Epoch: [ 57] [3450/4000] time: 33677.6485, net0_loss = 0.17019, net0_acc = 0.9749, net0_test_acc = 0.7333,     net1_loss = 0.19128, net1_acc = 0.9666, net1_test_acc = 0.9221
Epoch: [ 57] [3450/4000] time: 33677.6485, dice0 = 0.06665, cross0 = 0.0564, kl0 = 0.0104, exclusion0 = 0.0838,     dice1 = 0.07139, cross1 = 0.0904, kl1 = 0.0070, exclusion1 = 0.0521
1.1764812
Epoch: [ 57] [3500/4000] time: 33685.0044, net0_loss = 0.11117, net0_acc = 0.9829, net0_test_acc = 0.9408,     net1_loss = 0.11886, net1_acc = 0.9818, net1_test_acc = 0.9468
Epoch: [ 57] [3500/4000] time: 33685.0045, dice0 = 0.04445, cross0 = 0.0399, kl0 = 0.0053, exclusion0 = 0.0483,     dice1 = 0.04412, cross1 = 0.0501, kl1 = 0.0059, exclusion1 = 0.0433
1.131711
Epoch: [ 57] [3550/4000] time: 33692.4124, net0_loss = 0.26169, net0_acc = 0.9567, net0_test_acc = 0.9458,     net1_loss = 0.06885, net1_acc = 0.9891, net1_test_acc = 0.9573
Epoch: [ 57] [3550/4000] time: 33692.4124, dice0 = 0.09708, cross0 = 0.1227, kl0 = 0.0098, exclusion0 = 0.0741,     dice1 = 0.02537, cross1 = 0.0324, kl1 = 0.0021, exclusion1 = 0.0200
1.1356825
Epoch: [ 57] [3600/4000] time: 33699.8117, net0_loss = 0.07722, net0_acc = 0.9887, net0_test_acc = 0.9421,     net1_loss = 0.15754, net1_acc = 0.9741, net1_test_acc = 0.9334
Epoch: [ 57] [3600/4000] time: 33699.8117, dice0 = 0.02899, cross0 = 0.0345, kl0 = 0.0029, exclusion0 = 0.0245,     dice1 = 0.06005, cross1 = 0.0594, kl1 = 0.0116, exclusion1 = 0.0645
1.1374736
Epoch: [ 57] [3650/4000] time: 33707.2426, net0_loss = 0.16768, net0_acc = 0.9742, net0_test_acc = 0.8000,     net1_loss = 0.12931, net1_acc = 0.9786, net1_test_acc = 0.9432
Epoch: [ 57] [3650/4000] time: 33707.2426, dice0 = 0.05939, cross0 = 0.0740, kl0 = 0.0107, exclusion0 = 0.0579,     dice1 = 0.04944, cross1 = 0.0545, kl1 = 0.0064, exclusion1 = 0.0443
1.2656279
Epoch: [ 57] [3700/4000] time: 33714.6400, net0_loss = 0.11411, net0_acc = 0.9807, net0_test_acc = 0.9021,     net1_loss = 0.04821, net1_acc = 0.9934, net1_test_acc = 0.9370
Epoch: [ 57] [3700/4000] time: 33714.6401, dice0 = 0.04393, cross0 = 0.0512, kl0 = 0.0036, exclusion0 = 0.0344,     dice1 = 0.01961, cross1 = 0.0159, kl1 = 0.0023, exclusion1 = 0.0232
1.2683659
Epoch: [ 57] [3750/4000] time: 33722.0607, net0_loss = 0.32255, net0_acc = 0.9506, net0_test_acc = 0.9631,     net1_loss = 0.14251, net1_acc = 0.9793, net1_test_acc = 0.9382
Epoch: [ 57] [3750/4000] time: 33722.0607, dice0 = 0.10371, cross0 = 0.1743, kl0 = 0.0153, exclusion0 = 0.0738,     dice1 = 0.05309, cross1 = 0.0521, kl1 = 0.0122, exclusion1 = 0.0624
1.0495185
Epoch: [ 57] [3800/4000] time: 33729.4021, net0_loss = 0.17195, net0_acc = 0.9705, net0_test_acc = 0.8285,     net1_loss = 0.28369, net1_acc = 0.9563, net1_test_acc = 0.9375
Epoch: [ 57] [3800/4000] time: 33729.4022, dice0 = 0.06132, cross0 = 0.0876, kl0 = 0.0057, exclusion0 = 0.0403,     dice1 = 0.09381, cross1 = 0.1220, kl1 = 0.0314, exclusion1 = 0.1044
1.2353994
Epoch: [ 57] [3850/4000] time: 33736.8744, net0_loss = 0.04305, net0_acc = 0.9939, net0_test_acc = 0.9626,     net1_loss = 0.17940, net1_acc = 0.9702, net1_test_acc = 0.9506
Epoch: [ 57] [3850/4000] time: 33736.8745, dice0 = 0.01642, cross0 = 0.0154, kl0 = 0.0029, exclusion0 = 0.0196,     dice1 = 0.06707, cross1 = 0.0814, kl1 = 0.0061, exclusion1 = 0.0558
1.1397228
Epoch: [ 57] [3900/4000] time: 33744.2836, net0_loss = 0.11431, net0_acc = 0.9819, net0_test_acc = 0.9501,     net1_loss = 0.11482, net1_acc = 0.9808, net1_test_acc = 0.9907
Epoch: [ 57] [3900/4000] time: 33744.2836, dice0 = 0.04522, cross0 = 0.0436, kl0 = 0.0057, exclusion0 = 0.0453,     dice1 = 0.04581, cross1 = 0.0486, kl1 = 0.0035, exclusion1 = 0.0373
1.1837924
Epoch: [ 57] [3950/4000] time: 33751.6944, net0_loss = 0.10084, net0_acc = 0.9833, net0_test_acc = 0.9625,     net1_loss = 0.13152, net1_acc = 0.9770, net1_test_acc = 0.8992
Epoch: [ 57] [3950/4000] time: 33751.6944, dice0 = 0.03782, cross0 = 0.0459, kl0 = 0.0030, exclusion0 = 0.0314,     dice1 = 0.05018, cross1 = 0.0646, kl1 = 0.0023, exclusion1 = 0.0311
1.181863
Epoch: [ 58] [  0/4000] time: 33759.0729, net0_loss = 0.16674, net0_acc = 0.9706, net0_test_acc = 0.8403,     net1_loss = 0.13537, net1_acc = 0.9757, net1_test_acc = 0.9204
Epoch: [ 58] [  0/4000] time: 33759.0730, dice0 = 0.06336, cross0 = 0.0804, kl0 = 0.0032, exclusion0 = 0.0428,     dice1 = 0.05286, cross1 = 0.0614, kl1 = 0.0030, exclusion1 = 0.0392
1.1145602
Epoch: [ 58] [ 50/4000] time: 33766.4949, net0_loss = 0.28128, net0_acc = 0.9559, net0_test_acc = 0.8229,     net1_loss = 0.16558, net1_acc = 0.9748, net1_test_acc = 0.9655
Epoch: [ 58] [ 50/4000] time: 33766.4949, dice0 = 0.09474, cross0 = 0.1452, kl0 = 0.0119, exclusion0 = 0.0707,     dice1 = 0.06280, cross1 = 0.0608, kl1 = 0.0116, exclusion1 = 0.0724
1.2473547
Epoch: [ 58] [100/4000] time: 33773.9183, net0_loss = 0.18348, net0_acc = 0.9696, net0_test_acc = 0.9824,     net1_loss = 0.06895, net1_acc = 0.9902, net1_test_acc = 0.9111
Epoch: [ 58] [100/4000] time: 33773.9183, dice0 = 0.07203, cross0 = 0.0742, kl0 = 0.0072, exclusion0 = 0.0672,     dice1 = 0.02671, cross1 = 0.0253, kl1 = 0.0045, exclusion1 = 0.0293
1.1525
Epoch: [ 58] [150/4000] time: 33781.3259, net0_loss = 0.17988, net0_acc = 0.9708, net0_test_acc = 0.9618,     net1_loss = 0.07586, net1_acc = 0.9880, net1_test_acc = 0.9641
Epoch: [ 58] [150/4000] time: 33781.3259, dice0 = 0.06870, cross0 = 0.0701, kl0 = 0.0094, exclusion0 = 0.0727,     dice1 = 0.02818, cross1 = 0.0372, kl1 = 0.0015, exclusion1 = 0.0195
1.2527606
Epoch: [ 58] [200/4000] time: 33788.6188, net0_loss = 0.17736, net0_acc = 0.9748, net0_test_acc = 0.9054,     net1_loss = 0.14728, net1_acc = 0.9742, net1_test_acc = 0.9248
Epoch: [ 58] [200/4000] time: 33788.6188, dice0 = 0.07040, cross0 = 0.0602, kl0 = 0.0107, exclusion0 = 0.0828,     dice1 = 0.05708, cross1 = 0.0633, kl1 = 0.0051, exclusion1 = 0.0486
1.1012006
Epoch: [ 58] [250/4000] time: 33796.0529, net0_loss = 0.10853, net0_acc = 0.9826, net0_test_acc = 0.9541,     net1_loss = 0.03727, net1_acc = 0.9948, net1_test_acc = 0.8909
Epoch: [ 58] [250/4000] time: 33796.0530, dice0 = 0.04106, cross0 = 0.0440, kl0 = 0.0055, exclusion0 = 0.0414,     dice1 = 0.01540, cross1 = 0.0135, kl1 = 0.0006, exclusion1 = 0.0161
1.090306
Epoch: [ 58] [300/4000] time: 33803.4660, net0_loss = 0.08331, net0_acc = 0.9882, net0_test_acc = 0.9688,     net1_loss = 0.24635, net1_acc = 0.9618, net1_test_acc = 0.9584
Epoch: [ 58] [300/4000] time: 33803.4660, dice0 = 0.03074, cross0 = 0.0332, kl0 = 0.0047, exclusion0 = 0.0341,     dice1 = 0.08643, cross1 = 0.1006, kl1 = 0.0224, exclusion1 = 0.0962
1.1657292
Epoch: [ 58] [350/4000] time: 33810.8625, net0_loss = 0.21574, net0_acc = 0.9641, net0_test_acc = 0.9142,     net1_loss = 0.25259, net1_acc = 0.9578, net1_test_acc = 0.9485
Epoch: [ 58] [350/4000] time: 33810.8625, dice0 = 0.08355, cross0 = 0.0877, kl0 = 0.0098, exclusion0 = 0.0792,     dice1 = 0.09783, cross1 = 0.1035, kl1 = 0.0117, exclusion1 = 0.0908
1.179389
Epoch: [ 58] [400/4000] time: 33818.2636, net0_loss = 0.18240, net0_acc = 0.9725, net0_test_acc = 0.9402,     net1_loss = 0.12043, net1_acc = 0.9779, net1_test_acc = 0.7760
Epoch: [ 58] [400/4000] time: 33818.2636, dice0 = 0.06504, cross0 = 0.0772, kl0 = 0.0134, exclusion0 = 0.0669,     dice1 = 0.04647, cross1 = 0.0522, kl1 = 0.0055, exclusion1 = 0.0380
1.1285799
Epoch: [ 58] [450/4000] time: 33825.6906, net0_loss = 0.07140, net0_acc = 0.9901, net0_test_acc = 0.8557,     net1_loss = 0.13644, net1_acc = 0.9763, net1_test_acc = 0.9038
Epoch: [ 58] [450/4000] time: 33825.6907, dice0 = 0.02943, cross0 = 0.0244, kl0 = 0.0022, exclusion0 = 0.0329,     dice1 = 0.05083, cross1 = 0.0662, kl1 = 0.0036, exclusion1 = 0.0352
1.1919224
Epoch: [ 58] [500/4000] time: 33833.0418, net0_loss = 0.09242, net0_acc = 0.9841, net0_test_acc = 0.9208,     net1_loss = 0.18374, net1_acc = 0.9717, net1_test_acc = 0.8006
Epoch: [ 58] [500/4000] time: 33833.0418, dice0 = 0.03479, cross0 = 0.0428, kl0 = 0.0031, exclusion0 = 0.0266,     dice1 = 0.07105, cross1 = 0.0680, kl1 = 0.0120, exclusion1 = 0.0774
1.1280272
Epoch: [ 58] [550/4000] time: 33840.4207, net0_loss = 0.13735, net0_acc = 0.9781, net0_test_acc = 0.9296,     net1_loss = 0.12359, net1_acc = 0.9832, net1_test_acc = 0.9103
Epoch: [ 58] [550/4000] time: 33840.4207, dice0 = 0.05017, cross0 = 0.0497, kl0 = 0.0127, exclusion0 = 0.0622,     dice1 = 0.04663, cross1 = 0.0429, kl1 = 0.0108, exclusion1 = 0.0574
1.1576366
Epoch: [ 58] [600/4000] time: 33847.8233, net0_loss = 0.10131, net0_acc = 0.9842, net0_test_acc = 0.9203,     net1_loss = 0.04356, net1_acc = 0.9956, net1_test_acc = 0.9394
Epoch: [ 58] [600/4000] time: 33847.8233, dice0 = 0.03804, cross0 = 0.0364, kl0 = 0.0069, exclusion0 = 0.0469,     dice1 = 0.01680, cross1 = 0.0149, kl1 = 0.0036, exclusion1 = 0.0201
1.0929444
Epoch: [ 58] [650/4000] time: 33855.2189, net0_loss = 0.17002, net0_acc = 0.9701, net0_test_acc = 0.9728,     net1_loss = 0.11002, net1_acc = 0.9828, net1_test_acc = 0.9330
Epoch: [ 58] [650/4000] time: 33855.2189, dice0 = 0.06119, cross0 = 0.0861, kl0 = 0.0049, exclusion0 = 0.0406,     dice1 = 0.04455, cross1 = 0.0414, kl1 = 0.0040, exclusion1 = 0.0441
1.116262
Epoch: [ 58] [700/4000] time: 33862.6863, net0_loss = 0.06585, net0_acc = 0.9902, net0_test_acc = 0.9163,     net1_loss = 0.14642, net1_acc = 0.9763, net1_test_acc = 0.8675
Epoch: [ 58] [700/4000] time: 33862.6864, dice0 = 0.02599, cross0 = 0.0272, kl0 = 0.0012, exclusion0 = 0.0241,     dice1 = 0.05342, cross1 = 0.0680, kl1 = 0.0067, exclusion1 = 0.0434
1.1893251
Epoch: [ 58] [750/4000] time: 33870.0917, net0_loss = 0.24053, net0_acc = 0.9622, net0_test_acc = 0.9543,     net1_loss = 0.04338, net1_acc = 0.9943, net1_test_acc = 0.9798
Epoch: [ 58] [750/4000] time: 33870.0918, dice0 = 0.08170, cross0 = 0.1072, kl0 = 0.0213, exclusion0 = 0.0821,     dice1 = 0.01655, cross1 = 0.0151, kl1 = 0.0029, exclusion1 = 0.0206
1.2603662
Epoch: [ 58] [800/4000] time: 33877.4550, net0_loss = 0.15967, net0_acc = 0.9759, net0_test_acc = 0.8735,     net1_loss = 0.13488, net1_acc = 0.9781, net1_test_acc = 0.8346
Epoch: [ 58] [800/4000] time: 33877.4551, dice0 = 0.06127, cross0 = 0.0579, kl0 = 0.0095, exclusion0 = 0.0714,     dice1 = 0.05278, cross1 = 0.0539, kl1 = 0.0065, exclusion1 = 0.0498
1.1279243
Epoch: [ 58] [850/4000] time: 33884.8607, net0_loss = 0.13789, net0_acc = 0.9778, net0_test_acc = 0.9338,     net1_loss = 0.23874, net1_acc = 0.9640, net1_test_acc = 0.9284
Epoch: [ 58] [850/4000] time: 33884.8608, dice0 = 0.05154, cross0 = 0.0566, kl0 = 0.0082, exclusion0 = 0.0513,     dice1 = 0.08915, cross1 = 0.0917, kl1 = 0.0194, exclusion1 = 0.0963
1.1395941
Epoch: [ 58] [900/4000] time: 33892.2989, net0_loss = 0.13151, net0_acc = 0.9804, net0_test_acc = 0.9384,     net1_loss = 0.06997, net1_acc = 0.9914, net1_test_acc = 0.9448
Epoch: [ 58] [900/4000] time: 33892.2990, dice0 = 0.05137, cross0 = 0.0466, kl0 = 0.0076, exclusion0 = 0.0596,     dice1 = 0.02515, cross1 = 0.0239, kl1 = 0.0076, exclusion1 = 0.0342
1.2349316
Epoch: [ 58] [950/4000] time: 33899.7353, net0_loss = 0.17547, net0_acc = 0.9723, net0_test_acc = 0.9306,     net1_loss = 0.15393, net1_acc = 0.9776, net1_test_acc = 0.9893
Epoch: [ 58] [950/4000] time: 33899.7354, dice0 = 0.06671, cross0 = 0.0674, kl0 = 0.0105, exclusion0 = 0.0722,     dice1 = 0.05728, cross1 = 0.0553, kl1 = 0.0159, exclusion1 = 0.0668
1.1162637
Epoch: [ 58] [1000/4000] time: 33907.1375, net0_loss = 0.26346, net0_acc = 0.9571, net0_test_acc = 0.9538,     net1_loss = 0.30928, net1_acc = 0.9626, net1_test_acc = 0.7984
Epoch: [ 58] [1000/4000] time: 33907.1376, dice0 = 0.09911, cross0 = 0.1065, kl0 = 0.0156, exclusion0 = 0.1001,     dice1 = 0.12341, cross1 = 0.1022, kl1 = 0.0171, exclusion1 = 0.1502
1.1464553
Epoch: [ 58] [1050/4000] time: 33914.5617, net0_loss = 0.07982, net0_acc = 0.9878, net0_test_acc = 0.8753,     net1_loss = 0.15689, net1_acc = 0.9719, net1_test_acc = 0.9849
Epoch: [ 58] [1050/4000] time: 33914.5617, dice0 = 0.03219, cross0 = 0.0314, kl0 = 0.0019, exclusion0 = 0.0305,     dice1 = 0.05604, cross1 = 0.0874, kl1 = 0.0022, exclusion1 = 0.0246
1.1675239
Epoch: [ 58] [1100/4000] time: 33921.9589, net0_loss = 0.16441, net0_acc = 0.9760, net0_test_acc = 0.9581,     net1_loss = 0.14186, net1_acc = 0.9789, net1_test_acc = 0.9139
Epoch: [ 58] [1100/4000] time: 33921.9590, dice0 = 0.05698, cross0 = 0.0802, kl0 = 0.0067, exclusion0 = 0.0478,     dice1 = 0.05396, cross1 = 0.0574, kl1 = 0.0094, exclusion1 = 0.0517
1.1014018
Epoch: [ 58] [1150/4000] time: 33929.3841, net0_loss = 0.08953, net0_acc = 0.9865, net0_test_acc = 0.8354,     net1_loss = 0.23391, net1_acc = 0.9595, net1_test_acc = 0.9123
Epoch: [ 58] [1150/4000] time: 33929.3842, dice0 = 0.03337, cross0 = 0.0374, kl0 = 0.0045, exclusion0 = 0.0330,     dice1 = 0.08628, cross1 = 0.1144, kl1 = 0.0072, exclusion1 = 0.0592
1.1479516
Epoch: [ 58] [1200/4000] time: 33936.7837, net0_loss = 0.17583, net0_acc = 0.9704, net0_test_acc = 0.9305,     net1_loss = 0.12958, net1_acc = 0.9793, net1_test_acc = 0.8063
Epoch: [ 58] [1200/4000] time: 33936.7838, dice0 = 0.06449, cross0 = 0.0831, kl0 = 0.0059, exclusion0 = 0.0506,     dice1 = 0.04981, cross1 = 0.0530, kl1 = 0.0062, exclusion1 = 0.0472
1.1769919
Epoch: [ 58] [1250/4000] time: 33944.1895, net0_loss = 0.44004, net0_acc = 0.9329, net0_test_acc = 0.8959,     net1_loss = 0.11317, net1_acc = 0.9818, net1_test_acc = 0.9288
Epoch: [ 58] [1250/4000] time: 33944.1896, dice0 = 0.13046, cross0 = 0.2789, kl0 = 0.0080, exclusion0 = 0.0533,     dice1 = 0.04402, cross1 = 0.0431, kl1 = 0.0063, exclusion1 = 0.0459
1.2276524
Epoch: [ 58] [1300/4000] time: 33951.5886, net0_loss = 0.18999, net0_acc = 0.9685, net0_test_acc = 0.9331,     net1_loss = 0.16414, net1_acc = 0.9716, net1_test_acc = 0.9219
Epoch: [ 58] [1300/4000] time: 33951.5887, dice0 = 0.07143, cross0 = 0.0764, kl0 = 0.0135, exclusion0 = 0.0708,     dice1 = 0.06273, cross1 = 0.0695, kl1 = 0.0069, exclusion1 = 0.0569
1.2991214
Epoch: [ 58] [1350/4000] time: 33958.9482, net0_loss = 0.07829, net0_acc = 0.9885, net0_test_acc = 0.9156,     net1_loss = 0.06948, net1_acc = 0.9884, net1_test_acc = 0.9250
Epoch: [ 58] [1350/4000] time: 33958.9482, dice0 = 0.03104, cross0 = 0.0307, kl0 = 0.0027, exclusion0 = 0.0305,     dice1 = 0.02677, cross1 = 0.0312, kl1 = 0.0013, exclusion1 = 0.0217
1.1759682
Epoch: [ 58] [1400/4000] time: 33966.3880, net0_loss = 0.16757, net0_acc = 0.9724, net0_test_acc = 0.9371,     net1_loss = 0.07839, net1_acc = 0.9859, net1_test_acc = 0.9597
Epoch: [ 58] [1400/4000] time: 33966.3881, dice0 = 0.06035, cross0 = 0.0755, kl0 = 0.0089, exclusion0 = 0.0545,     dice1 = 0.03160, cross1 = 0.0335, kl1 = 0.0016, exclusion1 = 0.0250
1.2158681
Epoch: [ 58] [1450/4000] time: 33973.8013, net0_loss = 0.39296, net0_acc = 0.9373, net0_test_acc = 0.9803,     net1_loss = 0.13928, net1_acc = 0.9751, net1_test_acc = 0.9892
Epoch: [ 58] [1450/4000] time: 33973.8013, dice0 = 0.13055, cross0 = 0.1848, kl0 = 0.0291, exclusion0 = 0.1262,     dice1 = 0.05350, cross1 = 0.0654, kl1 = 0.0028, exclusion1 = 0.0379
1.1518011
Epoch: [ 58] [1500/4000] time: 33981.2086, net0_loss = 0.12623, net0_acc = 0.9810, net0_test_acc = 0.9661,     net1_loss = 0.16546, net1_acc = 0.9718, net1_test_acc = 0.9611
Epoch: [ 58] [1500/4000] time: 33981.2088, dice0 = 0.04806, cross0 = 0.0441, kl0 = 0.0089, exclusion0 = 0.0594,     dice1 = 0.06443, cross1 = 0.0700, kl1 = 0.0072, exclusion1 = 0.0548
1.1254176
Epoch: [ 58] [1550/4000] time: 33988.5941, net0_loss = 0.22613, net0_acc = 0.9599, net0_test_acc = 0.9754,     net1_loss = 0.08490, net1_acc = 0.9884, net1_test_acc = 0.9303
Epoch: [ 58] [1550/4000] time: 33988.5942, dice0 = 0.08354, cross0 = 0.1143, kl0 = 0.0037, exclusion0 = 0.0528,     dice1 = 0.03551, cross1 = 0.0286, kl1 = 0.0036, exclusion1 = 0.0380
1.2412764
Epoch: [ 58] [1600/4000] time: 33995.9881, net0_loss = 0.13626, net0_acc = 0.9782, net0_test_acc = 0.8877,     net1_loss = 0.16205, net1_acc = 0.9706, net1_test_acc = 0.9887
Epoch: [ 58] [1600/4000] time: 33995.9881, dice0 = 0.05356, cross0 = 0.0526, kl0 = 0.0071, exclusion0 = 0.0531,     dice1 = 0.06286, cross1 = 0.0747, kl1 = 0.0043, exclusion1 = 0.0447
1.2954162
Epoch: [ 58] [1650/4000] time: 34003.3692, net0_loss = 0.18109, net0_acc = 0.9682, net0_test_acc = 0.9132,     net1_loss = 0.36829, net1_acc = 0.9327, net1_test_acc = 0.9897
Epoch: [ 58] [1650/4000] time: 34003.3693, dice0 = 0.06881, cross0 = 0.0850, kl0 = 0.0049, exclusion0 = 0.0496,     dice1 = 0.12524, cross1 = 0.2058, kl1 = 0.0128, exclusion1 = 0.0618
1.1215898
Epoch: [ 58] [1700/4000] time: 34010.7986, net0_loss = 0.18457, net0_acc = 0.9697, net0_test_acc = 0.9102,     net1_loss = 0.35662, net1_acc = 0.9494, net1_test_acc = 0.9119
Epoch: [ 58] [1700/4000] time: 34010.7987, dice0 = 0.07035, cross0 = 0.0725, kl0 = 0.0137, exclusion0 = 0.0698,     dice1 = 0.10405, cross1 = 0.2006, kl1 = 0.0216, exclusion1 = 0.0823
1.2113855
Epoch: [ 58] [1750/4000] time: 34018.1897, net0_loss = 0.10824, net0_acc = 0.9807, net0_test_acc = 0.9647,     net1_loss = 0.10832, net1_acc = 0.9845, net1_test_acc = 0.9604
Epoch: [ 58] [1750/4000] time: 34018.1898, dice0 = 0.04210, cross0 = 0.0497, kl0 = 0.0021, exclusion0 = 0.0308,     dice1 = 0.04306, cross1 = 0.0369, kl1 = 0.0057, exclusion1 = 0.0510
1.2055085
Epoch: [ 58] [1800/4000] time: 34025.6040, net0_loss = 0.12932, net0_acc = 0.9793, net0_test_acc = 0.7815,     net1_loss = 0.17119, net1_acc = 0.9734, net1_test_acc = 0.8958
Epoch: [ 58] [1800/4000] time: 34025.6041, dice0 = 0.05010, cross0 = 0.0535, kl0 = 0.0052, exclusion0 = 0.0463,     dice1 = 0.06447, cross1 = 0.0642, kl1 = 0.0126, exclusion1 = 0.0723
1.144249
Epoch: [ 58] [1850/4000] time: 34033.0428, net0_loss = 0.12662, net0_acc = 0.9819, net0_test_acc = 0.8379,     net1_loss = 0.03972, net1_acc = 0.9941, net1_test_acc = 0.8414
Epoch: [ 58] [1850/4000] time: 34033.0429, dice0 = 0.04285, cross0 = 0.0454, kl0 = 0.0169, exclusion0 = 0.0599,     dice1 = 0.01628, cross1 = 0.0141, kl1 = 0.0012, exclusion1 = 0.0176
1.2223198
Epoch: [ 58] [1900/4000] time: 34040.4457, net0_loss = 0.25201, net0_acc = 0.9581, net0_test_acc = 0.9850,     net1_loss = 0.12223, net1_acc = 0.9794, net1_test_acc = 0.9734
Epoch: [ 58] [1900/4000] time: 34040.4457, dice0 = 0.09411, cross0 = 0.1148, kl0 = 0.0103, exclusion0 = 0.0760,     dice1 = 0.04734, cross1 = 0.0533, kl1 = 0.0037, exclusion1 = 0.0396
1.1465896
Epoch: [ 58] [1950/4000] time: 34047.8466, net0_loss = 0.13688, net0_acc = 0.9780, net0_test_acc = 0.9332,     net1_loss = 0.15004, net1_acc = 0.9763, net1_test_acc = 0.9420
Epoch: [ 58] [1950/4000] time: 34047.8468, dice0 = 0.05389, cross0 = 0.0542, kl0 = 0.0058, exclusion0 = 0.0518,     dice1 = 0.05511, cross1 = 0.0632, kl1 = 0.0089, exclusion1 = 0.0546
1.2108058
Epoch: [ 58] [2000/4000] time: 34055.2361, net0_loss = 0.17872, net0_acc = 0.9689, net0_test_acc = 0.9497,     net1_loss = 0.10828, net1_acc = 0.9833, net1_test_acc = 0.9778
Epoch: [ 58] [2000/4000] time: 34055.2362, dice0 = 0.06730, cross0 = 0.0772, kl0 = 0.0091, exclusion0 = 0.0594,     dice1 = 0.04324, cross1 = 0.0424, kl1 = 0.0039, exclusion1 = 0.0414
1.3470851
Epoch: [ 58] [2050/4000] time: 34062.6695, net0_loss = 0.13634, net0_acc = 0.9766, net0_test_acc = 0.9140,     net1_loss = 0.13515, net1_acc = 0.9814, net1_test_acc = 0.9748
Epoch: [ 58] [2050/4000] time: 34062.6696, dice0 = 0.05268, cross0 = 0.0559, kl0 = 0.0061, exclusion0 = 0.0495,     dice1 = 0.05108, cross1 = 0.0460, kl1 = 0.0106, exclusion1 = 0.0655
1.167652
Epoch: [ 58] [2100/4000] time: 34069.9720, net0_loss = 0.24847, net0_acc = 0.9534, net0_test_acc = 0.9457,     net1_loss = 0.18296, net1_acc = 0.9672, net1_test_acc = 0.9307
Epoch: [ 58] [2100/4000] time: 34069.9720, dice0 = 0.09626, cross0 = 0.1182, kl0 = 0.0044, exclusion0 = 0.0637,     dice1 = 0.07024, cross1 = 0.0858, kl1 = 0.0043, exclusion1 = 0.0495
1.2256782
Epoch: [ 58] [2150/4000] time: 34077.5055, net0_loss = 0.26225, net0_acc = 0.9581, net0_test_acc = 0.9456,     net1_loss = 0.11386, net1_acc = 0.9809, net1_test_acc = 0.9299
Epoch: [ 58] [2150/4000] time: 34077.5056, dice0 = 0.09008, cross0 = 0.1050, kl0 = 0.0287, exclusion0 = 0.1056,     dice1 = 0.04257, cross1 = 0.0530, kl1 = 0.0029, exclusion1 = 0.0337
1.1529233
Epoch: [ 58] [2200/4000] time: 34084.8697, net0_loss = 0.07862, net0_acc = 0.9908, net0_test_acc = 0.9718,     net1_loss = 0.14881, net1_acc = 0.9760, net1_test_acc = 0.9020
Epoch: [ 58] [2200/4000] time: 34084.8698, dice0 = 0.03033, cross0 = 0.0232, kl0 = 0.0053, exclusion0 = 0.0449,     dice1 = 0.05725, cross1 = 0.0596, kl1 = 0.0082, exclusion1 = 0.0558
1.1417141
Epoch: [ 58] [2250/4000] time: 34092.3103, net0_loss = 0.04122, net0_acc = 0.9940, net0_test_acc = 0.7518,     net1_loss = 0.08433, net1_acc = 0.9857, net1_test_acc = 0.9374
Epoch: [ 58] [2250/4000] time: 34092.3103, dice0 = 0.01704, cross0 = 0.0139, kl0 = 0.0011, exclusion0 = 0.0194,     dice1 = 0.03265, cross1 = 0.0392, kl1 = 0.0021, exclusion1 = 0.0228
1.241489
Epoch: [ 58] [2300/4000] time: 34099.7139, net0_loss = 0.13518, net0_acc = 0.9781, net0_test_acc = 0.8963,     net1_loss = 0.10766, net1_acc = 0.9825, net1_test_acc = 0.8272
Epoch: [ 58] [2300/4000] time: 34099.7140, dice0 = 0.05218, cross0 = 0.0510, kl0 = 0.0078, exclusion0 = 0.0562,     dice1 = 0.04270, cross1 = 0.0442, kl1 = 0.0034, exclusion1 = 0.0380
1.1241164
Epoch: [ 58] [2350/4000] time: 34107.1663, net0_loss = 0.13255, net0_acc = 0.9775, net0_test_acc = 0.9060,     net1_loss = 0.38065, net1_acc = 0.9356, net1_test_acc = 0.9645
Epoch: [ 58] [2350/4000] time: 34107.1664, dice0 = 0.05273, cross0 = 0.0545, kl0 = 0.0041, exclusion0 = 0.0465,     dice1 = 0.13045, cross1 = 0.1999, kl1 = 0.0120, exclusion1 = 0.0886
1.1567585
Epoch: [ 58] [2400/4000] time: 34114.5470, net0_loss = 0.17554, net0_acc = 0.9747, net0_test_acc = 0.9557,     net1_loss = 0.10841, net1_acc = 0.9822, net1_test_acc = 0.9777
Epoch: [ 58] [2400/4000] time: 34114.5471, dice0 = 0.06323, cross0 = 0.0683, kl0 = 0.0137, exclusion0 = 0.0743,     dice1 = 0.04270, cross1 = 0.0452, kl1 = 0.0033, exclusion1 = 0.0376
1.1268951
Epoch: [ 58] [2450/4000] time: 34121.9234, net0_loss = 0.19492, net0_acc = 0.9710, net0_test_acc = 0.9141,     net1_loss = 0.15450, net1_acc = 0.9752, net1_test_acc = 0.9326
Epoch: [ 58] [2450/4000] time: 34121.9234, dice0 = 0.07475, cross0 = 0.0769, kl0 = 0.0082, exclusion0 = 0.0785,     dice1 = 0.05583, cross1 = 0.0635, kl1 = 0.0122, exclusion1 = 0.0581
1.2325275
Epoch: [ 58] [2500/4000] time: 34129.3617, net0_loss = 0.15461, net0_acc = 0.9751, net0_test_acc = 0.9568,     net1_loss = 0.07048, net1_acc = 0.9906, net1_test_acc = 0.9243
Epoch: [ 58] [2500/4000] time: 34129.3618, dice0 = 0.06126, cross0 = 0.0588, kl0 = 0.0067, exclusion0 = 0.0624,     dice1 = 0.02883, cross1 = 0.0245, kl1 = 0.0025, exclusion1 = 0.0317
1.1651955
Epoch: [ 58] [2550/4000] time: 34136.7442, net0_loss = 0.13050, net0_acc = 0.9812, net0_test_acc = 0.7678,     net1_loss = 0.28356, net1_acc = 0.9556, net1_test_acc = 0.8224
Epoch: [ 58] [2550/4000] time: 34136.7443, dice0 = 0.04438, cross0 = 0.0654, kl0 = 0.0037, exclusion0 = 0.0378,     dice1 = 0.09962, cross1 = 0.1308, kl1 = 0.0154, exclusion1 = 0.0909
1.0622295
Epoch: [ 58] [2600/4000] time: 34144.1566, net0_loss = 0.05968, net0_acc = 0.9915, net0_test_acc = 0.8365,     net1_loss = 0.08179, net1_acc = 0.9900, net1_test_acc = 0.7944
Epoch: [ 58] [2600/4000] time: 34144.1567, dice0 = 0.02387, cross0 = 0.0214, kl0 = 0.0028, exclusion0 = 0.0261,     dice1 = 0.02904, cross1 = 0.0284, kl1 = 0.0070, exclusion1 = 0.0418
1.1903999
Epoch: [ 58] [2650/4000] time: 34151.6373, net0_loss = 0.09254, net0_acc = 0.9856, net0_test_acc = 0.9762,     net1_loss = 0.16979, net1_acc = 0.9720, net1_test_acc = 0.9522
Epoch: [ 58] [2650/4000] time: 34151.6374, dice0 = 0.03351, cross0 = 0.0401, kl0 = 0.0051, exclusion0 = 0.0328,     dice1 = 0.06377, cross1 = 0.0731, kl1 = 0.0083, exclusion1 = 0.0576
1.1995816
Epoch: [ 58] [2700/4000] time: 34159.0683, net0_loss = 0.08714, net0_acc = 0.9865, net0_test_acc = 0.9899,     net1_loss = 0.05931, net1_acc = 0.9911, net1_test_acc = 0.9527
Epoch: [ 58] [2700/4000] time: 34159.0683, dice0 = 0.03269, cross0 = 0.0406, kl0 = 0.0020, exclusion0 = 0.0256,     dice1 = 0.02270, cross1 = 0.0238, kl1 = 0.0026, exclusion1 = 0.0231
1.149075
Epoch: [ 58] [2750/4000] time: 34166.4659, net0_loss = 0.17679, net0_acc = 0.9731, net0_test_acc = 0.9490,     net1_loss = 0.14862, net1_acc = 0.9752, net1_test_acc = 0.8173
Epoch: [ 58] [2750/4000] time: 34166.4660, dice0 = 0.06907, cross0 = 0.0641, kl0 = 0.0097, exclusion0 = 0.0775,     dice1 = 0.05792, cross1 = 0.0647, kl1 = 0.0047, exclusion1 = 0.0473
1.1096698
Epoch: [ 58] [2800/4000] time: 34173.8519, net0_loss = 0.12064, net0_acc = 0.9768, net0_test_acc = 0.9778,     net1_loss = 0.12550, net1_acc = 0.9815, net1_test_acc = 0.9118
Epoch: [ 58] [2800/4000] time: 34173.8520, dice0 = 0.04734, cross0 = 0.0575, kl0 = 0.0023, exclusion0 = 0.0293,     dice1 = 0.04779, cross1 = 0.0450, kl1 = 0.0095, exclusion1 = 0.0558
1.1622262
Epoch: [ 58] [2850/4000] time: 34181.2835, net0_loss = 0.17794, net0_acc = 0.9716, net0_test_acc = 0.9629,     net1_loss = 0.10332, net1_acc = 0.9852, net1_test_acc = 0.9644
Epoch: [ 58] [2850/4000] time: 34181.2835, dice0 = 0.06816, cross0 = 0.0731, kl0 = 0.0065, exclusion0 = 0.0667,     dice1 = 0.04220, cross1 = 0.0355, kl1 = 0.0039, exclusion1 = 0.0472
1.3308617
Epoch: [ 58] [2900/4000] time: 34188.6992, net0_loss = 0.11836, net0_acc = 0.9828, net0_test_acc = 0.9428,     net1_loss = 0.14142, net1_acc = 0.9747, net1_test_acc = 0.9782
Epoch: [ 58] [2900/4000] time: 34188.6993, dice0 = 0.04632, cross0 = 0.0440, kl0 = 0.0073, exclusion0 = 0.0487,     dice1 = 0.05478, cross1 = 0.0652, kl1 = 0.0034, exclusion1 = 0.0395
1.1206353
Epoch: [ 58] [2950/4000] time: 34196.1029, net0_loss = 0.09167, net0_acc = 0.9870, net0_test_acc = 0.8730,     net1_loss = 0.07706, net1_acc = 0.9887, net1_test_acc = 0.9537
Epoch: [ 58] [2950/4000] time: 34196.1030, dice0 = 0.03564, cross0 = 0.0322, kl0 = 0.0047, exclusion0 = 0.0429,     dice1 = 0.02996, cross1 = 0.0300, kl1 = 0.0033, exclusion1 = 0.0309
1.2134278
Epoch: [ 58] [3000/4000] time: 34203.5080, net0_loss = 0.10651, net0_acc = 0.9821, net0_test_acc = 0.8813,     net1_loss = 0.15616, net1_acc = 0.9720, net1_test_acc = 0.9625
Epoch: [ 58] [3000/4000] time: 34203.5081, dice0 = 0.04193, cross0 = 0.0436, kl0 = 0.0043, exclusion0 = 0.0376,     dice1 = 0.05838, cross1 = 0.0777, kl1 = 0.0029, exclusion1 = 0.0373
1.168579
Epoch: [ 58] [3050/4000] time: 34210.8688, net0_loss = 0.28049, net0_acc = 0.9573, net0_test_acc = 0.9595,     net1_loss = 0.08747, net1_acc = 0.9860, net1_test_acc = 0.9684
Epoch: [ 58] [3050/4000] time: 34210.8689, dice0 = 0.08964, cross0 = 0.1284, kl0 = 0.0285, exclusion0 = 0.0963,     dice1 = 0.03481, cross1 = 0.0355, kl1 = 0.0030, exclusion1 = 0.0312
1.1817757
Epoch: [ 58] [3100/4000] time: 34218.3364, net0_loss = 0.11928, net0_acc = 0.9806, net0_test_acc = 0.9178,     net1_loss = 0.12770, net1_acc = 0.9785, net1_test_acc = 0.9725
Epoch: [ 58] [3100/4000] time: 34218.3365, dice0 = 0.04693, cross0 = 0.0492, kl0 = 0.0039, exclusion0 = 0.0424,     dice1 = 0.04810, cross1 = 0.0556, kl1 = 0.0049, exclusion1 = 0.0432
1.2518703
Epoch: [ 58] [3150/4000] time: 34225.7178, net0_loss = 0.16661, net0_acc = 0.9729, net0_test_acc = 0.9820,     net1_loss = 0.12940, net1_acc = 0.9809, net1_test_acc = 0.9518
Epoch: [ 58] [3150/4000] time: 34225.7179, dice0 = 0.06471, cross0 = 0.0731, kl0 = 0.0039, exclusion0 = 0.0537,     dice1 = 0.04667, cross1 = 0.0597, kl1 = 0.0044, exclusion1 = 0.0416
1.151058
Epoch: [ 58] [3200/4000] time: 34233.0982, net0_loss = 0.20347, net0_acc = 0.9688, net0_test_acc = 0.7638,     net1_loss = 0.04312, net1_acc = 0.9942, net1_test_acc = 0.9225
Epoch: [ 58] [3200/4000] time: 34233.0983, dice0 = 0.06696, cross0 = 0.0965, kl0 = 0.0178, exclusion0 = 0.0623,     dice1 = 0.01772, cross1 = 0.0149, kl1 = 0.0013, exclusion1 = 0.0197
1.1099659
Epoch: [ 58] [3250/4000] time: 34240.5146, net0_loss = 0.25536, net0_acc = 0.9626, net0_test_acc = 0.9378,     net1_loss = 0.05389, net1_acc = 0.9927, net1_test_acc = 0.9392
Epoch: [ 58] [3250/4000] time: 34240.5146, dice0 = 0.07375, cross0 = 0.1693, kl0 = 0.0027, exclusion0 = 0.0219,     dice1 = 0.02124, cross1 = 0.0179, kl1 = 0.0027, exclusion1 = 0.0268
1.1822746
Epoch: [ 58] [3300/4000] time: 34247.9306, net0_loss = 0.11807, net0_acc = 0.9806, net0_test_acc = 0.9370,     net1_loss = 0.29414, net1_acc = 0.9504, net1_test_acc = 0.9509
Epoch: [ 58] [3300/4000] time: 34247.9306, dice0 = 0.04666, cross0 = 0.0468, kl0 = 0.0054, exclusion0 = 0.0438,     dice1 = 0.10376, cross1 = 0.1408, kl1 = 0.0149, exclusion1 = 0.0842
1.2194852
Epoch: [ 58] [3350/4000] time: 34255.3536, net0_loss = 0.09817, net0_acc = 0.9865, net0_test_acc = 0.9411,     net1_loss = 0.11335, net1_acc = 0.9819, net1_test_acc = 0.9331
Epoch: [ 58] [3350/4000] time: 34255.3537, dice0 = 0.03802, cross0 = 0.0345, kl0 = 0.0056, exclusion0 = 0.0456,     dice1 = 0.04328, cross1 = 0.0432, kl1 = 0.0079, exclusion1 = 0.0459
1.2053013
Epoch: [ 58] [3400/4000] time: 34262.7688, net0_loss = 0.22964, net0_acc = 0.9659, net0_test_acc = 0.8177,     net1_loss = 0.03487, net1_acc = 0.9950, net1_test_acc = 0.9504
Epoch: [ 58] [3400/4000] time: 34262.7689, dice0 = 0.07951, cross0 = 0.0973, kl0 = 0.0183, exclusion0 = 0.0873,     dice1 = 0.01366, cross1 = 0.0143, kl1 = 0.0013, exclusion1 = 0.0126
1.256109
Epoch: [ 58] [3450/4000] time: 34270.1740, net0_loss = 0.14744, net0_acc = 0.9764, net0_test_acc = 0.8875,     net1_loss = 0.16179, net1_acc = 0.9732, net1_test_acc = 0.9566
Epoch: [ 58] [3450/4000] time: 34270.1741, dice0 = 0.05448, cross0 = 0.0637, kl0 = 0.0080, exclusion0 = 0.0505,     dice1 = 0.06247, cross1 = 0.0688, kl1 = 0.0052, exclusion1 = 0.0558
1.1592273
Epoch: [ 58] [3500/4000] time: 34277.6279, net0_loss = 0.09871, net0_acc = 0.9859, net0_test_acc = 0.9624,     net1_loss = 0.20768, net1_acc = 0.9661, net1_test_acc = 0.9463
Epoch: [ 58] [3500/4000] time: 34277.6280, dice0 = 0.03877, cross0 = 0.0335, kl0 = 0.0052, exclusion0 = 0.0477,     dice1 = 0.07933, cross1 = 0.0821, kl1 = 0.0131, exclusion1 = 0.0794
1.2692996
Epoch: [ 58] [3550/4000] time: 34285.0305, net0_loss = 0.02441, net0_acc = 0.9976, net0_test_acc = 0.8179,     net1_loss = 0.24594, net1_acc = 0.9580, net1_test_acc = 0.9374
Epoch: [ 58] [3550/4000] time: 34285.0306, dice0 = 0.00890, cross0 = 0.0071, kl0 = 0.0019, exclusion0 = 0.0150,     dice1 = 0.08538, cross1 = 0.1309, kl1 = 0.0074, exclusion1 = 0.0519
1.1027765
Epoch: [ 58] [3600/4000] time: 34292.4431, net0_loss = 0.14071, net0_acc = 0.9781, net0_test_acc = 0.9660,     net1_loss = 0.09251, net1_acc = 0.9855, net1_test_acc = 0.9559
Epoch: [ 58] [3600/4000] time: 34292.4432, dice0 = 0.04977, cross0 = 0.0567, kl0 = 0.0129, exclusion0 = 0.0556,     dice1 = 0.03565, cross1 = 0.0357, kl1 = 0.0061, exclusion1 = 0.0363
1.2227414
Epoch: [ 58] [3650/4000] time: 34299.8344, net0_loss = 0.06348, net0_acc = 0.9903, net0_test_acc = 0.9468,     net1_loss = 0.27183, net1_acc = 0.9516, net1_test_acc = 0.9899
Epoch: [ 58] [3650/4000] time: 34299.8344, dice0 = 0.02562, cross0 = 0.0245, kl0 = 0.0014, exclusion0 = 0.0253,     dice1 = 0.10355, cross1 = 0.1177, kl1 = 0.0123, exclusion1 = 0.0887
1.2121522
Epoch: [ 58] [3700/4000] time: 34307.2308, net0_loss = 0.16847, net0_acc = 0.9703, net0_test_acc = 0.9605,     net1_loss = 0.12423, net1_acc = 0.9789, net1_test_acc = 0.9070
Epoch: [ 58] [3700/4000] time: 34307.2308, dice0 = 0.06559, cross0 = 0.0742, kl0 = 0.0051, exclusion0 = 0.0522,     dice1 = 0.04780, cross1 = 0.0541, kl1 = 0.0056, exclusion1 = 0.0391
1.1833446
Epoch: [ 58] [3750/4000] time: 34314.6652, net0_loss = 0.13477, net0_acc = 0.9770, net0_test_acc = 0.8728,     net1_loss = 0.12203, net1_acc = 0.9801, net1_test_acc = 0.9234
Epoch: [ 58] [3750/4000] time: 34314.6653, dice0 = 0.05104, cross0 = 0.0614, kl0 = 0.0047, exclusion0 = 0.0400,     dice1 = 0.04930, cross1 = 0.0443, kl1 = 0.0078, exclusion1 = 0.0491
1.1682673
Epoch: [ 58] [3800/4000] time: 34322.0530, net0_loss = 0.04784, net0_acc = 0.9930, net0_test_acc = 0.8536,     net1_loss = 0.12705, net1_acc = 0.9781, net1_test_acc = 0.9383
Epoch: [ 58] [3800/4000] time: 34322.0530, dice0 = 0.01880, cross0 = 0.0185, kl0 = 0.0016, exclusion0 = 0.0195,     dice1 = 0.04723, cross1 = 0.0597, kl1 = 0.0043, exclusion1 = 0.0359
1.0939337
Epoch: [ 58] [3850/4000] time: 34329.4037, net0_loss = 0.10806, net0_acc = 0.9816, net0_test_acc = 0.9818,     net1_loss = 0.08173, net1_acc = 0.9884, net1_test_acc = 0.8726
Epoch: [ 58] [3850/4000] time: 34329.4037, dice0 = 0.04366, cross0 = 0.0433, kl0 = 0.0032, exclusion0 = 0.0390,     dice1 = 0.02862, cross1 = 0.0309, kl1 = 0.0084, exclusion1 = 0.0361
1.1028869
Epoch: [ 58] [3900/4000] time: 34336.8460, net0_loss = 0.23668, net0_acc = 0.9621, net0_test_acc = 0.9581,     net1_loss = 0.27823, net1_acc = 0.9513, net1_test_acc = 0.9617
Epoch: [ 58] [3900/4000] time: 34336.8461, dice0 = 0.08271, cross0 = 0.0920, kl0 = 0.0266, exclusion0 = 0.0973,     dice1 = 0.10470, cross1 = 0.1152, kl1 = 0.0181, exclusion1 = 0.0985
1.0779158
Epoch: [ 58] [3950/4000] time: 34344.2555, net0_loss = 0.08894, net0_acc = 0.9884, net0_test_acc = 0.9004,     net1_loss = 0.11797, net1_acc = 0.9824, net1_test_acc = 0.9112
Epoch: [ 58] [3950/4000] time: 34344.2555, dice0 = 0.03364, cross0 = 0.0287, kl0 = 0.0070, exclusion0 = 0.0462,     dice1 = 0.04706, cross1 = 0.0433, kl1 = 0.0056, exclusion1 = 0.0497
1.1342498
Epoch: [ 59] [  0/4000] time: 34351.7021, net0_loss = 0.05501, net0_acc = 0.9921, net0_test_acc = 0.9526,     net1_loss = 0.13212, net1_acc = 0.9786, net1_test_acc = 0.8815
Epoch: [ 59] [  0/4000] time: 34351.7022, dice0 = 0.02004, cross0 = 0.0236, kl0 = 0.0026, exclusion0 = 0.0202,     dice1 = 0.05076, cross1 = 0.0532, kl1 = 0.0079, exclusion1 = 0.0484
1.0800135
Epoch: [ 59] [ 50/4000] time: 34359.1245, net0_loss = 0.16524, net0_acc = 0.9755, net0_test_acc = 0.9642,     net1_loss = 0.13572, net1_acc = 0.9792, net1_test_acc = 0.9459
Epoch: [ 59] [ 50/4000] time: 34359.1246, dice0 = 0.05927, cross0 = 0.0671, kl0 = 0.0138, exclusion0 = 0.0639,     dice1 = 0.05145, cross1 = 0.0502, kl1 = 0.0095, exclusion1 = 0.0587
1.2583396
Epoch: [ 59] [100/4000] time: 34366.5484, net0_loss = 0.06757, net0_acc = 0.9892, net0_test_acc = 0.9156,     net1_loss = 0.15620, net1_acc = 0.9729, net1_test_acc = 0.9432
Epoch: [ 59] [100/4000] time: 34366.5485, dice0 = 0.02599, cross0 = 0.0273, kl0 = 0.0029, exclusion0 = 0.0258,     dice1 = 0.05704, cross1 = 0.0763, kl1 = 0.0045, exclusion1 = 0.0413
1.2070327
Epoch: [ 59] [150/4000] time: 34373.9710, net0_loss = 0.11470, net0_acc = 0.9829, net0_test_acc = 0.9378,     net1_loss = 0.15289, net1_acc = 0.9753, net1_test_acc = 0.7795
Epoch: [ 59] [150/4000] time: 34373.9710, dice0 = 0.04444, cross0 = 0.0426, kl0 = 0.0057, exclusion0 = 0.0496,     dice1 = 0.05968, cross1 = 0.0589, kl1 = 0.0078, exclusion1 = 0.0609
1.1234524
Epoch: [ 59] [200/4000] time: 34381.3814, net0_loss = 0.20364, net0_acc = 0.9651, net0_test_acc = 0.8654,     net1_loss = 0.22046, net1_acc = 0.9678, net1_test_acc = 0.8962
Epoch: [ 59] [200/4000] time: 34381.3815, dice0 = 0.07282, cross0 = 0.1086, kl0 = 0.0042, exclusion0 = 0.0403,     dice1 = 0.07889, cross1 = 0.0869, kl1 = 0.0194, exclusion1 = 0.0899
1.1453784
Epoch: [ 59] [250/4000] time: 34388.7476, net0_loss = 0.22064, net0_acc = 0.9647, net0_test_acc = 0.9164,     net1_loss = 0.11148, net1_acc = 0.9817, net1_test_acc = 0.8064
Epoch: [ 59] [250/4000] time: 34388.7477, dice0 = 0.07866, cross0 = 0.0924, kl0 = 0.0212, exclusion0 = 0.0779,     dice1 = 0.04490, cross1 = 0.0435, kl1 = 0.0038, exclusion1 = 0.0423
1.2140414
Epoch: [ 59] [300/4000] time: 34396.2118, net0_loss = 0.15795, net0_acc = 0.9742, net0_test_acc = 0.9302,     net1_loss = 0.16847, net1_acc = 0.9706, net1_test_acc = 0.9245
Epoch: [ 59] [300/4000] time: 34396.2118, dice0 = 0.06063, cross0 = 0.0670, kl0 = 0.0072, exclusion0 = 0.0535,     dice1 = 0.06452, cross1 = 0.0796, kl1 = 0.0031, exclusion1 = 0.0457
1.2301607
Epoch: [ 59] [350/4000] time: 34403.4903, net0_loss = 0.07215, net0_acc = 0.9912, net0_test_acc = 0.9220,     net1_loss = 0.23023, net1_acc = 0.9627, net1_test_acc = 0.9521
Epoch: [ 59] [350/4000] time: 34403.4904, dice0 = 0.02490, cross0 = 0.0216, kl0 = 0.0093, exclusion0 = 0.0419,     dice1 = 0.07795, cross1 = 0.1328, kl1 = 0.0024, exclusion1 = 0.0366
1.1238492
Epoch: [ 59] [400/4000] time: 34411.0569, net0_loss = 0.20922, net0_acc = 0.9663, net0_test_acc = 0.9717,     net1_loss = 0.05271, net1_acc = 0.9923, net1_test_acc = 0.9511
Epoch: [ 59] [400/4000] time: 34411.0570, dice0 = 0.07043, cross0 = 0.1016, kl0 = 0.0146, exclusion0 = 0.0597,     dice1 = 0.02081, cross1 = 0.0188, kl1 = 0.0029, exclusion1 = 0.0234
1.1372125
Epoch: [ 59] [450/4000] time: 34418.4784, net0_loss = 0.18063, net0_acc = 0.9696, net0_test_acc = 0.9224,     net1_loss = 0.25196, net1_acc = 0.9605, net1_test_acc = 0.8658
Epoch: [ 59] [450/4000] time: 34418.4785, dice0 = 0.06968, cross0 = 0.0788, kl0 = 0.0053, exclusion0 = 0.0590,     dice1 = 0.08827, cross1 = 0.1050, kl1 = 0.0266, exclusion1 = 0.0908
1.2078282
Epoch: [ 59] [500/4000] time: 34425.8875, net0_loss = 0.16649, net0_acc = 0.9712, net0_test_acc = 0.9505,     net1_loss = 0.12678, net1_acc = 0.9778, net1_test_acc = 0.9814
Epoch: [ 59] [500/4000] time: 34425.8876, dice0 = 0.06194, cross0 = 0.0738, kl0 = 0.0089, exclusion0 = 0.0526,     dice1 = 0.04972, cross1 = 0.0573, kl1 = 0.0030, exclusion1 = 0.0365
1.1821374
Epoch: [ 59] [550/4000] time: 34433.2480, net0_loss = 0.06164, net0_acc = 0.9917, net0_test_acc = 0.8658,     net1_loss = 0.16205, net1_acc = 0.9764, net1_test_acc = 0.8360
Epoch: [ 59] [550/4000] time: 34433.2480, dice0 = 0.02407, cross0 = 0.0234, kl0 = 0.0024, exclusion0 = 0.0259,     dice1 = 0.06002, cross1 = 0.0580, kl1 = 0.0144, exclusion1 = 0.0736
1.1621931
Epoch: [ 59] [600/4000] time: 34440.7515, net0_loss = 0.10609, net0_acc = 0.9840, net0_test_acc = 0.9280,     net1_loss = 0.12804, net1_acc = 0.9778, net1_test_acc = 0.8978
Epoch: [ 59] [600/4000] time: 34440.7515, dice0 = 0.03843, cross0 = 0.0460, kl0 = 0.0058, exclusion0 = 0.0376,     dice1 = 0.05106, cross1 = 0.0494, kl1 = 0.0070, exclusion1 = 0.0482
1.1140138
Epoch: [ 59] [650/4000] time: 34448.1841, net0_loss = 0.07086, net0_acc = 0.9898, net0_test_acc = 0.9464,     net1_loss = 0.03905, net1_acc = 0.9942, net1_test_acc = 0.9477
Epoch: [ 59] [650/4000] time: 34448.1842, dice0 = 0.02733, cross0 = 0.0237, kl0 = 0.0046, exclusion0 = 0.0350,     dice1 = 0.01559, cross1 = 0.0155, kl1 = 0.0013, exclusion1 = 0.0146
1.155006
Epoch: [ 59] [700/4000] time: 34455.4809, net0_loss = 0.22369, net0_acc = 0.9673, net0_test_acc = 0.9201,     net1_loss = 0.18929, net1_acc = 0.9686, net1_test_acc = 0.9905
Epoch: [ 59] [700/4000] time: 34455.4810, dice0 = 0.07431, cross0 = 0.0903, kl0 = 0.0250, exclusion0 = 0.0931,     dice1 = 0.07320, cross1 = 0.0812, kl1 = 0.0055, exclusion1 = 0.0644
1.0990084
Epoch: [ 59] [750/4000] time: 34462.9558, net0_loss = 0.20282, net0_acc = 0.9617, net0_test_acc = 0.9703,     net1_loss = 0.24559, net1_acc = 0.9568, net1_test_acc = 0.7995
Epoch: [ 59] [750/4000] time: 34462.9558, dice0 = 0.07742, cross0 = 0.0998, kl0 = 0.0040, exclusion0 = 0.0472,     dice1 = 0.09208, cross1 = 0.1070, kl1 = 0.0105, exclusion1 = 0.0826
1.0838791
Epoch: [ 59] [800/4000] time: 34470.3531, net0_loss = 0.04600, net0_acc = 0.9937, net0_test_acc = 0.8764,     net1_loss = 0.12365, net1_acc = 0.9831, net1_test_acc = 0.9840
Epoch: [ 59] [800/4000] time: 34470.3532, dice0 = 0.01888, cross0 = 0.0150, kl0 = 0.0020, exclusion0 = 0.0223,     dice1 = 0.04662, cross1 = 0.0406, kl1 = 0.0101, exclusion1 = 0.0627
1.068517
Epoch: [ 59] [850/4000] time: 34477.7840, net0_loss = 0.13169, net0_acc = 0.9828, net0_test_acc = 0.9545,     net1_loss = 0.13714, net1_acc = 0.9794, net1_test_acc = 0.9013
Epoch: [ 59] [850/4000] time: 34477.7841, dice0 = 0.05087, cross0 = 0.0423, kl0 = 0.0090, exclusion0 = 0.0680,     dice1 = 0.05432, cross1 = 0.0504, kl1 = 0.0064, exclusion1 = 0.0584
1.1133053
Epoch: [ 59] [900/4000] time: 34485.1784, net0_loss = 0.19541, net0_acc = 0.9681, net0_test_acc = 0.8670,     net1_loss = 0.05337, net1_acc = 0.9921, net1_test_acc = 0.9085
Epoch: [ 59] [900/4000] time: 34485.1784, dice0 = 0.07075, cross0 = 0.0891, kl0 = 0.0108, exclusion0 = 0.0603,     dice1 = 0.02226, cross1 = 0.0187, kl1 = 0.0015, exclusion1 = 0.0232
1.1539503
Epoch: [ 59] [950/4000] time: 34492.6277, net0_loss = 0.07848, net0_acc = 0.9882, net0_test_acc = 0.9123,     net1_loss = 0.28846, net1_acc = 0.9505, net1_test_acc = 0.8521
Epoch: [ 59] [950/4000] time: 34492.6278, dice0 = 0.03031, cross0 = 0.0277, kl0 = 0.0062, exclusion0 = 0.0347,     dice1 = 0.10060, cross1 = 0.1415, kl1 = 0.0145, exclusion1 = 0.0783
1.1367457
Epoch: [ 59] [1000/4000] time: 34500.0157, net0_loss = 0.05885, net0_acc = 0.9915, net0_test_acc = 0.8877,     net1_loss = 0.16329, net1_acc = 0.9733, net1_test_acc = 0.8856
Epoch: [ 59] [1000/4000] time: 34500.0159, dice0 = 0.02257, cross0 = 0.0221, kl0 = 0.0037, exclusion0 = 0.0247,     dice1 = 0.06238, cross1 = 0.0686, kl1 = 0.0068, exclusion1 = 0.0577
1.1310498
Epoch: [ 59] [1050/4000] time: 34507.4444, net0_loss = 0.17232, net0_acc = 0.9678, net0_test_acc = 0.9344,     net1_loss = 0.19215, net1_acc = 0.9674, net1_test_acc = 0.9233
Epoch: [ 59] [1050/4000] time: 34507.4444, dice0 = 0.06578, cross0 = 0.0815, kl0 = 0.0070, exclusion0 = 0.0431,     dice1 = 0.06698, cross1 = 0.0859, kl1 = 0.0161, exclusion1 = 0.0625
1.1844772
Epoch: [ 59] [1100/4000] time: 34514.8737, net0_loss = 0.17191, net0_acc = 0.9762, net0_test_acc = 0.9066,     net1_loss = 0.22778, net1_acc = 0.9667, net1_test_acc = 0.8999
Epoch: [ 59] [1100/4000] time: 34514.8737, dice0 = 0.05450, cross0 = 0.0599, kl0 = 0.0297, exclusion0 = 0.0853,     dice1 = 0.07299, cross1 = 0.1005, kl1 = 0.0260, exclusion1 = 0.0826
1.1224542
Epoch: [ 59] [1150/4000] time: 34522.2442, net0_loss = 0.15534, net0_acc = 0.9764, net0_test_acc = 0.9431,     net1_loss = 0.09579, net1_acc = 0.9844, net1_test_acc = 0.9509
Epoch: [ 59] [1150/4000] time: 34522.2443, dice0 = 0.06002, cross0 = 0.0543, kl0 = 0.0114, exclusion0 = 0.0707,     dice1 = 0.03704, cross1 = 0.0427, kl1 = 0.0021, exclusion1 = 0.0300
1.1613727
Epoch: [ 59] [1200/4000] time: 34529.6243, net0_loss = 0.23677, net0_acc = 0.9642, net0_test_acc = 0.9832,     net1_loss = 0.17195, net1_acc = 0.9703, net1_test_acc = 0.9895
Epoch: [ 59] [1200/4000] time: 34529.6244, dice0 = 0.07343, cross0 = 0.1374, kl0 = 0.0075, exclusion0 = 0.0443,     dice1 = 0.06529, cross1 = 0.0665, kl1 = 0.0124, exclusion1 = 0.0678
1.1681036
Epoch: [ 59] [1250/4000] time: 34537.0857, net0_loss = 0.11631, net0_acc = 0.9798, net0_test_acc = 0.9650,     net1_loss = 0.18827, net1_acc = 0.9682, net1_test_acc = 0.9590
Epoch: [ 59] [1250/4000] time: 34537.0858, dice0 = 0.04534, cross0 = 0.0489, kl0 = 0.0043, exclusion0 = 0.0398,     dice1 = 0.06787, cross1 = 0.0918, kl1 = 0.0079, exclusion1 = 0.0493
1.218772
Epoch: [ 59] [1300/4000] time: 34544.4888, net0_loss = 0.05959, net0_acc = 0.9914, net0_test_acc = 0.9754,     net1_loss = 0.10898, net1_acc = 0.9808, net1_test_acc = 0.9222
Epoch: [ 59] [1300/4000] time: 34544.4889, dice0 = 0.02095, cross0 = 0.0221, kl0 = 0.0065, exclusion0 = 0.0266,     dice1 = 0.04130, cross1 = 0.0500, kl1 = 0.0034, exclusion1 = 0.0320
1.2310634
Epoch: [ 59] [1350/4000] time: 34551.8859, net0_loss = 0.09826, net0_acc = 0.9851, net0_test_acc = 0.8997,     net1_loss = 0.26680, net1_acc = 0.9578, net1_test_acc = 0.9880
Epoch: [ 59] [1350/4000] time: 34551.8860, dice0 = 0.03541, cross0 = 0.0475, kl0 = 0.0032, exclusion0 = 0.0276,     dice1 = 0.09947, cross1 = 0.1164, kl1 = 0.0091, exclusion1 = 0.0929
1.1050498
Epoch: [ 59] [1400/4000] time: 34559.2899, net0_loss = 0.10434, net0_acc = 0.9836, net0_test_acc = 0.9235,     net1_loss = 0.08586, net1_acc = 0.9873, net1_test_acc = 0.9897
Epoch: [ 59] [1400/4000] time: 34559.2900, dice0 = 0.03887, cross0 = 0.0417, kl0 = 0.0060, exclusion0 = 0.0416,     dice1 = 0.03388, cross1 = 0.0300, kl1 = 0.0058, exclusion1 = 0.0382
1.1232318
Epoch: [ 59] [1450/4000] time: 34566.7446, net0_loss = 0.12639, net0_acc = 0.9756, net0_test_acc = 0.9127,     net1_loss = 0.11825, net1_acc = 0.9802, net1_test_acc = 0.9140
Epoch: [ 59] [1450/4000] time: 34566.7446, dice0 = 0.05025, cross0 = 0.0588, kl0 = 0.0020, exclusion0 = 0.0326,     dice1 = 0.04548, cross1 = 0.0531, kl1 = 0.0032, exclusion1 = 0.0361
1.1670741
Epoch: [ 59] [1500/4000] time: 34574.1456, net0_loss = 0.15493, net0_acc = 0.9770, net0_test_acc = 0.9706,     net1_loss = 0.22557, net1_acc = 0.9588, net1_test_acc = 0.9604
Epoch: [ 59] [1500/4000] time: 34574.1458, dice0 = 0.05635, cross0 = 0.0676, kl0 = 0.0085, exclusion0 = 0.0534,     dice1 = 0.08366, cross1 = 0.1136, kl1 = 0.0047, exclusion1 = 0.0518
1.1904669
Epoch: [ 59] [1550/4000] time: 34581.5340, net0_loss = 0.04611, net0_acc = 0.9932, net0_test_acc = 0.7511,     net1_loss = 0.16470, net1_acc = 0.9713, net1_test_acc = 0.8986
Epoch: [ 59] [1550/4000] time: 34581.5341, dice0 = 0.01881, cross0 = 0.0169, kl0 = 0.0012, exclusion0 = 0.0196,     dice1 = 0.06588, cross1 = 0.0671, kl1 = 0.0053, exclusion1 = 0.0582
1.1177614
Epoch: [ 59] [1600/4000] time: 34588.8889, net0_loss = 0.13716, net0_acc = 0.9759, net0_test_acc = 0.8386,     net1_loss = 0.18687, net1_acc = 0.9664, net1_test_acc = 0.8297
Epoch: [ 59] [1600/4000] time: 34588.8889, dice0 = 0.05327, cross0 = 0.0630, kl0 = 0.0025, exclusion0 = 0.0393,     dice1 = 0.07390, cross1 = 0.0832, kl1 = 0.0033, exclusion1 = 0.0563
1.1234773
Epoch: [ 59] [1650/4000] time: 34596.3486, net0_loss = 0.13323, net0_acc = 0.9814, net0_test_acc = 0.9865,     net1_loss = 0.04654, net1_acc = 0.9938, net1_test_acc = 0.9723
Epoch: [ 59] [1650/4000] time: 34596.3486, dice0 = 0.05064, cross0 = 0.0457, kl0 = 0.0097, exclusion0 = 0.0640,     dice1 = 0.01817, cross1 = 0.0175, kl1 = 0.0027, exclusion1 = 0.0190
1.2005639
Epoch: [ 59] [1700/4000] time: 34603.7651, net0_loss = 0.12115, net0_acc = 0.9818, net0_test_acc = 0.9343,     net1_loss = 0.27236, net1_acc = 0.9541, net1_test_acc = 0.9512
Epoch: [ 59] [1700/4000] time: 34603.7652, dice0 = 0.04465, cross0 = 0.0463, kl0 = 0.0104, exclusion0 = 0.0500,     dice1 = 0.10073, cross1 = 0.1271, kl1 = 0.0090, exclusion1 = 0.0801
1.1691256
Epoch: [ 59] [1750/4000] time: 34611.1751, net0_loss = 0.22268, net0_acc = 0.9584, net0_test_acc = 0.9577,     net1_loss = 0.11343, net1_acc = 0.9816, net1_test_acc = 0.9811
Epoch: [ 59] [1750/4000] time: 34611.1751, dice0 = 0.08584, cross0 = 0.1060, kl0 = 0.0051, exclusion0 = 0.0567,     dice1 = 0.04526, cross1 = 0.0432, kl1 = 0.0050, exclusion1 = 0.0448
1.1730813
Epoch: [ 59] [1800/4000] time: 34618.6256, net0_loss = 0.07618, net0_acc = 0.9878, net0_test_acc = 0.9175,     net1_loss = 0.17059, net1_acc = 0.9737, net1_test_acc = 0.9763
Epoch: [ 59] [1800/4000] time: 34618.6257, dice0 = 0.02824, cross0 = 0.0332, kl0 = 0.0035, exclusion0 = 0.0260,     dice1 = 0.05999, cross1 = 0.0776, kl1 = 0.0106, exclusion1 = 0.0554
1.1129857
Epoch: [ 59] [1850/4000] time: 34625.9995, net0_loss = 0.18736, net0_acc = 0.9711, net0_test_acc = 0.9482,     net1_loss = 0.27296, net1_acc = 0.9520, net1_test_acc = 0.9315
Epoch: [ 59] [1850/4000] time: 34625.9995, dice0 = 0.06671, cross0 = 0.0720, kl0 = 0.0189, exclusion0 = 0.0784,     dice1 = 0.09877, cross1 = 0.1334, kl1 = 0.0106, exclusion1 = 0.0709
1.1814067
Epoch: [ 59] [1900/4000] time: 34633.4585, net0_loss = 0.28258, net0_acc = 0.9478, net0_test_acc = 0.9488,     net1_loss = 0.09248, net1_acc = 0.9846, net1_test_acc = 0.9118
Epoch: [ 59] [1900/4000] time: 34633.4585, dice0 = 0.10441, cross0 = 0.1423, kl0 = 0.0070, exclusion0 = 0.0647,     dice1 = 0.03748, cross1 = 0.0385, kl1 = 0.0021, exclusion1 = 0.0309
1.1739727
Epoch: [ 59] [1950/4000] time: 34640.8015, net0_loss = 0.07374, net0_acc = 0.9891, net0_test_acc = 0.9713,     net1_loss = 0.17108, net1_acc = 0.9763, net1_test_acc = 0.9277
Epoch: [ 59] [1950/4000] time: 34640.8016, dice0 = 0.02961, cross0 = 0.0254, kl0 = 0.0032, exclusion0 = 0.0342,     dice1 = 0.06877, cross1 = 0.0577, kl1 = 0.0077, exclusion1 = 0.0815
1.127307
Epoch: [ 59] [2000/4000] time: 34648.2520, net0_loss = 0.10125, net0_acc = 0.9831, net0_test_acc = 0.7206,     net1_loss = 0.19891, net1_acc = 0.9678, net1_test_acc = 0.9473
Epoch: [ 59] [2000/4000] time: 34648.2521, dice0 = 0.03864, cross0 = 0.0445, kl0 = 0.0032, exclusion0 = 0.0330,     dice1 = 0.07327, cross1 = 0.0901, kl1 = 0.0084, exclusion1 = 0.0627
1.0743365
Epoch: [ 59] [2050/4000] time: 34655.6878, net0_loss = 0.13552, net0_acc = 0.9750, net0_test_acc = 0.8985,     net1_loss = 0.06580, net1_acc = 0.9913, net1_test_acc = 0.8204
Epoch: [ 59] [2050/4000] time: 34655.6879, dice0 = 0.05167, cross0 = 0.0663, kl0 = 0.0036, exclusion0 = 0.0314,     dice1 = 0.02369, cross1 = 0.0267, kl1 = 0.0042, exclusion1 = 0.0266
1.1684637
Epoch: [ 59] [2100/4000] time: 34663.0931, net0_loss = 0.08051, net0_acc = 0.9875, net0_test_acc = 0.8999,     net1_loss = 0.03793, net1_acc = 0.9952, net1_test_acc = 0.9710
Epoch: [ 59] [2100/4000] time: 34663.0932, dice0 = 0.02984, cross0 = 0.0300, kl0 = 0.0065, exclusion0 = 0.0348,     dice1 = 0.01556, cross1 = 0.0120, kl1 = 0.0015, exclusion1 = 0.0192
1.1789417
Epoch: [ 59] [2150/4000] time: 34670.5163, net0_loss = 0.08281, net0_acc = 0.9869, net0_test_acc = 0.9224,     net1_loss = 0.19089, net1_acc = 0.9684, net1_test_acc = 0.9802
Epoch: [ 59] [2150/4000] time: 34670.5163, dice0 = 0.03353, cross0 = 0.0316, kl0 = 0.0027, exclusion0 = 0.0327,     dice1 = 0.06987, cross1 = 0.0836, kl1 = 0.0111, exclusion1 = 0.0637
1.0559638
Epoch: [ 59] [2200/4000] time: 34677.9301, net0_loss = 0.10435, net0_acc = 0.9841, net0_test_acc = 0.9077,     net1_loss = 0.18190, net1_acc = 0.9685, net1_test_acc = 0.9346
Epoch: [ 59] [2200/4000] time: 34677.9302, dice0 = 0.04069, cross0 = 0.0374, kl0 = 0.0071, exclusion0 = 0.0454,     dice1 = 0.06492, cross1 = 0.0890, kl1 = 0.0104, exclusion1 = 0.0455
1.1933036
Epoch: [ 59] [2250/4000] time: 34685.2646, net0_loss = 0.25474, net0_acc = 0.9577, net0_test_acc = 0.9570,     net1_loss = 0.23796, net1_acc = 0.9597, net1_test_acc = 0.9343
Epoch: [ 59] [2250/4000] time: 34685.2647, dice0 = 0.08989, cross0 = 0.1338, kl0 = 0.0069, exclusion0 = 0.0552,     dice1 = 0.08641, cross1 = 0.1104, kl1 = 0.0123, exclusion1 = 0.0700
1.1233903
Epoch: [ 59] [2300/4000] time: 34692.7256, net0_loss = 0.29998, net0_acc = 0.9504, net0_test_acc = 0.7720,     net1_loss = 0.14784, net1_acc = 0.9741, net1_test_acc = 0.8149
Epoch: [ 59] [2300/4000] time: 34692.7257, dice0 = 0.10387, cross0 = 0.1532, kl0 = 0.0114, exclusion0 = 0.0744,     dice1 = 0.05685, cross1 = 0.0682, kl1 = 0.0038, exclusion1 = 0.0417
1.12109
Epoch: [ 59] [2350/4000] time: 34700.1693, net0_loss = 0.10205, net0_acc = 0.9836, net0_test_acc = 0.8149,     net1_loss = 0.11387, net1_acc = 0.9827, net1_test_acc = 0.8425
Epoch: [ 59] [2350/4000] time: 34700.1693, dice0 = 0.04115, cross0 = 0.0390, kl0 = 0.0037, exclusion0 = 0.0401,     dice1 = 0.04633, cross1 = 0.0418, kl1 = 0.0040, exclusion1 = 0.0475
1.1172972
Epoch: [ 59] [2400/4000] time: 34707.6035, net0_loss = 0.15135, net0_acc = 0.9780, net0_test_acc = 0.9765,     net1_loss = 0.11233, net1_acc = 0.9835, net1_test_acc = 0.9509
Epoch: [ 59] [2400/4000] time: 34707.6036, dice0 = 0.05314, cross0 = 0.0543, kl0 = 0.0184, exclusion0 = 0.0695,     dice1 = 0.04446, cross1 = 0.0402, kl1 = 0.0061, exclusion1 = 0.0493
1.1216743
Epoch: [ 59] [2450/4000] time: 34714.9518, net0_loss = 0.17888, net0_acc = 0.9693, net0_test_acc = 0.9898,     net1_loss = 0.11812, net1_acc = 0.9809, net1_test_acc = 0.9474
Epoch: [ 59] [2450/4000] time: 34714.9519, dice0 = 0.06796, cross0 = 0.0787, kl0 = 0.0066, exclusion0 = 0.0580,     dice1 = 0.04573, cross1 = 0.0459, kl1 = 0.0069, exclusion1 = 0.0462
1.1098354
Epoch: [ 59] [2500/4000] time: 34722.4179, net0_loss = 0.13269, net0_acc = 0.9798, net0_test_acc = 0.9476,     net1_loss = 0.20278, net1_acc = 0.9691, net1_test_acc = 0.8462
Epoch: [ 59] [2500/4000] time: 34722.4179, dice0 = 0.05267, cross0 = 0.0501, kl0 = 0.0062, exclusion0 = 0.0536,     dice1 = 0.06746, cross1 = 0.1036, kl1 = 0.0104, exclusion1 = 0.0530
1.1191568
Epoch: [ 59] [2550/4000] time: 34729.8441, net0_loss = 0.15073, net0_acc = 0.9740, net0_test_acc = 0.9796,     net1_loss = 0.08402, net1_acc = 0.9851, net1_test_acc = 0.8800
Epoch: [ 59] [2550/4000] time: 34729.8442, dice0 = 0.05441, cross0 = 0.0655, kl0 = 0.0106, exclusion0 = 0.0511,     dice1 = 0.03299, cross1 = 0.0362, kl1 = 0.0037, exclusion1 = 0.0260
1.1910018
Epoch: [ 59] [2600/4000] time: 34737.2223, net0_loss = 0.15740, net0_acc = 0.9793, net0_test_acc = 0.9285,     net1_loss = 0.08992, net1_acc = 0.9863, net1_test_acc = 0.9619
Epoch: [ 59] [2600/4000] time: 34737.2224, dice0 = 0.05892, cross0 = 0.0534, kl0 = 0.0155, exclusion0 = 0.0746,     dice1 = 0.03192, cross1 = 0.0345, kl1 = 0.0089, exclusion1 = 0.0381
1.1883285
Epoch: [ 59] [2650/4000] time: 34744.6492, net0_loss = 0.15835, net0_acc = 0.9761, net0_test_acc = 0.9496,     net1_loss = 0.18268, net1_acc = 0.9681, net1_test_acc = 0.9816
Epoch: [ 59] [2650/4000] time: 34744.6492, dice0 = 0.06220, cross0 = 0.0594, kl0 = 0.0059, exclusion0 = 0.0675,     dice1 = 0.06677, cross1 = 0.0818, kl1 = 0.0102, exclusion1 = 0.0581
1.1024561
Epoch: [ 59] [2700/4000] time: 34752.0302, net0_loss = 0.06801, net0_acc = 0.9907, net0_test_acc = 0.8861,     net1_loss = 0.03722, net1_acc = 0.9947, net1_test_acc = 0.9527
Epoch: [ 59] [2700/4000] time: 34752.0303, dice0 = 0.02601, cross0 = 0.0225, kl0 = 0.0060, exclusion0 = 0.0331,     dice1 = 0.01449, cross1 = 0.0156, kl1 = 0.0011, exclusion1 = 0.0132
1.1257281
Epoch: [ 59] [2750/4000] time: 34759.3844, net0_loss = 0.14632, net0_acc = 0.9765, net0_test_acc = 0.8963,     net1_loss = 0.08192, net1_acc = 0.9854, net1_test_acc = 0.9610
Epoch: [ 59] [2750/4000] time: 34759.3844, dice0 = 0.05579, cross0 = 0.0594, kl0 = 0.0067, exclusion0 = 0.0556,     dice1 = 0.03313, cross1 = 0.0334, kl1 = 0.0031, exclusion1 = 0.0276
1.1176337
Epoch: [ 59] [2800/4000] time: 34766.8042, net0_loss = 0.17830, net0_acc = 0.9726, net0_test_acc = 0.9667,     net1_loss = 0.19868, net1_acc = 0.9667, net1_test_acc = 0.9613
Epoch: [ 59] [2800/4000] time: 34766.8043, dice0 = 0.06699, cross0 = 0.0667, kl0 = 0.0160, exclusion0 = 0.0731,     dice1 = 0.07062, cross1 = 0.0875, kl1 = 0.0164, exclusion1 = 0.0647
1.1239028
Epoch: [ 59] [2850/4000] time: 34774.2386, net0_loss = 0.10673, net0_acc = 0.9831, net0_test_acc = 0.9142,     net1_loss = 0.15320, net1_acc = 0.9751, net1_test_acc = 0.9756
Epoch: [ 59] [2850/4000] time: 34774.2387, dice0 = 0.04112, cross0 = 0.0405, kl0 = 0.0066, exclusion0 = 0.0437,     dice1 = 0.05990, cross1 = 0.0643, kl1 = 0.0041, exclusion1 = 0.0539
1.1935905
Epoch: [ 59] [2900/4000] time: 34781.6060, net0_loss = 0.16460, net0_acc = 0.9733, net0_test_acc = 0.9794,     net1_loss = 0.21291, net1_acc = 0.9655, net1_test_acc = 0.9552
Epoch: [ 59] [2900/4000] time: 34781.6060, dice0 = 0.05893, cross0 = 0.0781, kl0 = 0.0063, exclusion0 = 0.0489,     dice1 = 0.08064, cross1 = 0.0903, kl1 = 0.0102, exclusion1 = 0.0737
1.1918219
Epoch: [ 59] [2950/4000] time: 34789.1052, net0_loss = 0.25921, net0_acc = 0.9575, net0_test_acc = 0.7555,     net1_loss = 0.09987, net1_acc = 0.9858, net1_test_acc = 0.9155
Epoch: [ 59] [2950/4000] time: 34789.1052, dice0 = 0.09475, cross0 = 0.1085, kl0 = 0.0216, exclusion0 = 0.0903,     dice1 = 0.03698, cross1 = 0.0355, kl1 = 0.0086, exclusion1 = 0.0462
1.2516391
Epoch: [ 59] [3000/4000] time: 34796.5520, net0_loss = 0.05364, net0_acc = 0.9919, net0_test_acc = 0.9499,     net1_loss = 0.12764, net1_acc = 0.9802, net1_test_acc = 0.9430
Epoch: [ 59] [3000/4000] time: 34796.5521, dice0 = 0.02168, cross0 = 0.0195, kl0 = 0.0018, exclusion0 = 0.0231,     dice1 = 0.04818, cross1 = 0.0464, kl1 = 0.0113, exclusion1 = 0.0548
1.2340969
Epoch: [ 59] [3050/4000] time: 34803.9228, net0_loss = 0.07493, net0_acc = 0.9872, net0_test_acc = 0.9287,     net1_loss = 0.03521, net1_acc = 0.9963, net1_test_acc = 0.9522
Epoch: [ 59] [3050/4000] time: 34803.9228, dice0 = 0.02941, cross0 = 0.0304, kl0 = 0.0032, exclusion0 = 0.0269,     dice1 = 0.01325, cross1 = 0.0116, kl1 = 0.0030, exclusion1 = 0.0177
1.4018046
Epoch: [ 59] [3100/4000] time: 34811.3329, net0_loss = 0.30999, net0_acc = 0.9449, net0_test_acc = 0.9444,     net1_loss = 0.15396, net1_acc = 0.9731, net1_test_acc = 0.9195
Epoch: [ 59] [3100/4000] time: 34811.3329, dice0 = 0.11615, cross0 = 0.1413, kl0 = 0.0106, exclusion0 = 0.0946,     dice1 = 0.05961, cross1 = 0.0707, kl1 = 0.0028, exclusion1 = 0.0445
1.1524082
Epoch: [ 59] [3150/4000] time: 34818.7717, net0_loss = 0.10931, net0_acc = 0.9831, net0_test_acc = 0.8159,     net1_loss = 0.11505, net1_acc = 0.9793, net1_test_acc = 0.9431
Epoch: [ 59] [3150/4000] time: 34818.7718, dice0 = 0.04324, cross0 = 0.0403, kl0 = 0.0047, exclusion0 = 0.0469,     dice1 = 0.04363, cross1 = 0.0542, kl1 = 0.0036, exclusion1 = 0.0307
1.2080623
Epoch: [ 59] [3200/4000] time: 34826.1299, net0_loss = 0.12280, net0_acc = 0.9795, net0_test_acc = 0.9176,     net1_loss = 0.25331, net1_acc = 0.9689, net1_test_acc = 0.9397
Epoch: [ 59] [3200/4000] time: 34826.1299, dice0 = 0.04263, cross0 = 0.0661, kl0 = 0.0029, exclusion0 = 0.0253,     dice1 = 0.06996, cross1 = 0.1379, kl1 = 0.0239, exclusion1 = 0.0670
1.1970099
Epoch: [ 59] [3250/4000] time: 34833.3579, net0_loss = 0.24844, net0_acc = 0.9615, net0_test_acc = 0.9603,     net1_loss = 0.06604, net1_acc = 0.9907, net1_test_acc = 0.9408
Epoch: [ 59] [3250/4000] time: 34833.3580, dice0 = 0.08800, cross0 = 0.1037, kl0 = 0.0189, exclusion0 = 0.0946,     dice1 = 0.02527, cross1 = 0.0233, kl1 = 0.0045, exclusion1 = 0.0304
1.1487619
Epoch: [ 59] [3300/4000] time: 34840.9615, net0_loss = 0.22004, net0_acc = 0.9657, net0_test_acc = 0.8248,     net1_loss = 0.23456, net1_acc = 0.9613, net1_test_acc = 0.9301
Epoch: [ 59] [3300/4000] time: 34840.9616, dice0 = 0.07476, cross0 = 0.1183, kl0 = 0.0069, exclusion0 = 0.0470,     dice1 = 0.09335, cross1 = 0.0978, kl1 = 0.0067, exclusion1 = 0.0800
1.1759024
Epoch: [ 59] [3350/4000] time: 34848.3990, net0_loss = 0.10053, net0_acc = 0.9865, net0_test_acc = 0.9624,     net1_loss = 0.21442, net1_acc = 0.9675, net1_test_acc = 0.9538
Epoch: [ 59] [3350/4000] time: 34848.3991, dice0 = 0.03966, cross0 = 0.0327, kl0 = 0.0065, exclusion0 = 0.0498,     dice1 = 0.08589, cross1 = 0.0812, kl1 = 0.0057, exclusion1 = 0.0889
1.1230562
Epoch: [ 59] [3400/4000] time: 34855.7833, net0_loss = 0.11907, net0_acc = 0.9828, net0_test_acc = 0.9397,     net1_loss = 0.28671, net1_acc = 0.9557, net1_test_acc = 0.9906
Epoch: [ 59] [3400/4000] time: 34855.7834, dice0 = 0.04287, cross0 = 0.0458, kl0 = 0.0097, exclusion0 = 0.0511,     dice1 = 0.09990, cross1 = 0.1168, kl1 = 0.0269, exclusion1 = 0.1131
1.1683716
Epoch: [ 59] [3450/4000] time: 34863.1702, net0_loss = 0.06347, net0_acc = 0.9913, net0_test_acc = 0.9620,     net1_loss = 0.12092, net1_acc = 0.9803, net1_test_acc = 0.8986
Epoch: [ 59] [3450/4000] time: 34863.1703, dice0 = 0.02489, cross0 = 0.0206, kl0 = 0.0041, exclusion0 = 0.0319,     dice1 = 0.04621, cross1 = 0.0572, kl1 = 0.0017, exclusion1 = 0.0334
1.1234925
Epoch: [ 59] [3500/4000] time: 34870.6052, net0_loss = 0.06726, net0_acc = 0.9899, net0_test_acc = 0.8724,     net1_loss = 0.16522, net1_acc = 0.9726, net1_test_acc = 0.9141
Epoch: [ 59] [3500/4000] time: 34870.6053, dice0 = 0.02682, cross0 = 0.0258, kl0 = 0.0028, exclusion0 = 0.0265,     dice1 = 0.06569, cross1 = 0.0673, kl1 = 0.0048, exclusion1 = 0.0596
1.1305008
Epoch: [ 59] [3550/4000] time: 34877.9852, net0_loss = 0.05237, net0_acc = 0.9926, net0_test_acc = 0.8243,     net1_loss = 0.17007, net1_acc = 0.9721, net1_test_acc = 0.9722
Epoch: [ 59] [3550/4000] time: 34877.9853, dice0 = 0.02104, cross0 = 0.0175, kl0 = 0.0028, exclusion0 = 0.0250,     dice1 = 0.06499, cross1 = 0.0662, kl1 = 0.0107, exclusion1 = 0.0670
1.1277884
Epoch: [ 59] [3600/4000] time: 34885.4117, net0_loss = 0.09440, net0_acc = 0.9848, net0_test_acc = 0.9816,     net1_loss = 0.13933, net1_acc = 0.9782, net1_test_acc = 0.8978
Epoch: [ 59] [3600/4000] time: 34885.4118, dice0 = 0.03656, cross0 = 0.0377, kl0 = 0.0052, exclusion0 = 0.0351,     dice1 = 0.05148, cross1 = 0.0653, kl1 = 0.0036, exclusion1 = 0.0414
1.1951064
Epoch: [ 59] [3650/4000] time: 34892.8394, net0_loss = 0.13110, net0_acc = 0.9781, net0_test_acc = 0.9560,     net1_loss = 0.11762, net1_acc = 0.9799, net1_test_acc = 0.9632
Epoch: [ 59] [3650/4000] time: 34892.8395, dice0 = 0.05012, cross0 = 0.0557, kl0 = 0.0063, exclusion0 = 0.0443,     dice1 = 0.04645, cross1 = 0.0518, kl1 = 0.0028, exclusion1 = 0.0358
1.0946676
Epoch: [ 59] [3700/4000] time: 34900.2242, net0_loss = 0.06599, net0_acc = 0.9901, net0_test_acc = 0.9030,     net1_loss = 0.18387, net1_acc = 0.9688, net1_test_acc = 0.9215
Epoch: [ 59] [3700/4000] time: 34900.2243, dice0 = 0.02596, cross0 = 0.0256, kl0 = 0.0025, exclusion0 = 0.0263,     dice1 = 0.06698, cross1 = 0.0934, kl1 = 0.0039, exclusion1 = 0.0431
1.1621597
Epoch: [ 59] [3750/4000] time: 34907.6350, net0_loss = 0.14937, net0_acc = 0.9752, net0_test_acc = 0.9491,     net1_loss = 0.02900, net1_acc = 0.9967, net1_test_acc = 0.8898
Epoch: [ 59] [3750/4000] time: 34907.6351, dice0 = 0.05662, cross0 = 0.0620, kl0 = 0.0093, exclusion0 = 0.0522,     dice1 = 0.01191, cross1 = 0.0095, kl1 = 0.0011, exclusion1 = 0.0140
1.2821052
Epoch: [ 59] [3800/4000] time: 34915.0117, net0_loss = 0.34728, net0_acc = 0.9433, net0_test_acc = 0.9606,     net1_loss = 0.11762, net1_acc = 0.9838, net1_test_acc = 0.9476
Epoch: [ 59] [3800/4000] time: 34915.0118, dice0 = 0.11195, cross0 = 0.1848, kl0 = 0.0183, exclusion0 = 0.0828,     dice1 = 0.04597, cross1 = 0.0387, kl1 = 0.0105, exclusion1 = 0.0553
1.1551387
Epoch: [ 59] [3850/4000] time: 34922.3521, net0_loss = 0.13341, net0_acc = 0.9789, net0_test_acc = 0.9170,     net1_loss = 0.20460, net1_acc = 0.9688, net1_test_acc = 0.9461
Epoch: [ 59] [3850/4000] time: 34922.3522, dice0 = 0.05232, cross0 = 0.0531, kl0 = 0.0051, exclusion0 = 0.0509,     dice1 = 0.07677, cross1 = 0.0871, kl1 = 0.0084, exclusion1 = 0.0730
1.066979
Epoch: [ 59] [3900/4000] time: 34929.7485, net0_loss = 0.05768, net0_acc = 0.9909, net0_test_acc = 0.9429,     net1_loss = 0.11798, net1_acc = 0.9797, net1_test_acc = 0.7773
Epoch: [ 59] [3900/4000] time: 34929.7486, dice0 = 0.02242, cross0 = 0.0240, kl0 = 0.0020, exclusion0 = 0.0205,     dice1 = 0.04570, cross1 = 0.0499, kl1 = 0.0048, exclusion1 = 0.0399
1.1492331
Epoch: [ 59] [3950/4000] time: 34937.1523, net0_loss = 0.15144, net0_acc = 0.9759, net0_test_acc = 0.8505,     net1_loss = 0.08409, net1_acc = 0.9884, net1_test_acc = 0.9000
Epoch: [ 59] [3950/4000] time: 34937.1523, dice0 = 0.05358, cross0 = 0.0622, kl0 = 0.0146, exclusion0 = 0.0568,     dice1 = 0.03205, cross1 = 0.0292, kl1 = 0.0068, exclusion1 = 0.0389
1.0823545
Epoch: [ 60] [  0/4000] time: 34944.5977, net0_loss = 0.17500, net0_acc = 0.9687, net0_test_acc = 0.9093,     net1_loss = 0.11628, net1_acc = 0.9825, net1_test_acc = 0.7772
Epoch: [ 60] [  0/4000] time: 34944.5977, dice0 = 0.06378, cross0 = 0.0911, kl0 = 0.0042, exclusion0 = 0.0359,     dice1 = 0.04553, cross1 = 0.0462, kl1 = 0.0044, exclusion1 = 0.0448
1.1398095
Epoch: [ 60] [ 50/4000] time: 34952.0266, net0_loss = 0.23899, net0_acc = 0.9651, net0_test_acc = 0.9379,     net1_loss = 0.10252, net1_acc = 0.9854, net1_test_acc = 0.9447
Epoch: [ 60] [ 50/4000] time: 34952.0267, dice0 = 0.07930, cross0 = 0.1003, kl0 = 0.0243, exclusion0 = 0.0944,     dice1 = 0.03984, cross1 = 0.0374, kl1 = 0.0057, exclusion1 = 0.0448
1.1599629
Epoch: [ 60] [100/4000] time: 34959.4549, net0_loss = 0.20130, net0_acc = 0.9641, net0_test_acc = 0.9220,     net1_loss = 0.05077, net1_acc = 0.9936, net1_test_acc = 0.9376
Epoch: [ 60] [100/4000] time: 34959.4550, dice0 = 0.07744, cross0 = 0.0851, kl0 = 0.0091, exclusion0 = 0.0684,     dice1 = 0.01879, cross1 = 0.0198, kl1 = 0.0035, exclusion1 = 0.0209
1.0479003
Epoch: [ 60] [150/4000] time: 34966.8147, net0_loss = 0.12749, net0_acc = 0.9781, net0_test_acc = 0.9729,     net1_loss = 0.19009, net1_acc = 0.9688, net1_test_acc = 0.9395
Epoch: [ 60] [150/4000] time: 34966.8148, dice0 = 0.04981, cross0 = 0.0566, kl0 = 0.0033, exclusion0 = 0.0389,     dice1 = 0.06875, cross1 = 0.0948, kl1 = 0.0059, exclusion1 = 0.0473
1.1054207
Epoch: [ 60] [200/4000] time: 34974.2416, net0_loss = 0.08957, net0_acc = 0.9888, net0_test_acc = 0.9280,     net1_loss = 0.13487, net1_acc = 0.9778, net1_test_acc = 0.8740
Epoch: [ 60] [200/4000] time: 34974.2417, dice0 = 0.03313, cross0 = 0.0265, kl0 = 0.0087, exclusion0 = 0.0511,     dice1 = 0.05260, cross1 = 0.0571, kl1 = 0.0040, exclusion1 = 0.0463
1.1512616
Epoch: [ 60] [250/4000] time: 34981.6351, net0_loss = 0.19309, net0_acc = 0.9694, net0_test_acc = 0.9496,     net1_loss = 0.22884, net1_acc = 0.9636, net1_test_acc = 0.9814
Epoch: [ 60] [250/4000] time: 34981.6352, dice0 = 0.06374, cross0 = 0.1136, kl0 = 0.0017, exclusion0 = 0.0298,     dice1 = 0.07659, cross1 = 0.1113, kl1 = 0.0170, exclusion1 = 0.0649
1.0663073
Epoch: [ 60] [300/4000] time: 34989.0412, net0_loss = 0.05252, net0_acc = 0.9934, net0_test_acc = 0.8731,     net1_loss = 0.08814, net1_acc = 0.9863, net1_test_acc = 0.8736
Epoch: [ 60] [300/4000] time: 34989.0412, dice0 = 0.02141, cross0 = 0.0167, kl0 = 0.0018, exclusion0 = 0.0269,     dice1 = 0.03186, cross1 = 0.0400, kl1 = 0.0038, exclusion1 = 0.0287
1.1338392
Epoch: [ 60] [350/4000] time: 34996.4207, net0_loss = 0.18015, net0_acc = 0.9704, net0_test_acc = 0.9164,     net1_loss = 0.11772, net1_acc = 0.9808, net1_test_acc = 0.9194
Epoch: [ 60] [350/4000] time: 34996.4208, dice0 = 0.06321, cross0 = 0.0823, kl0 = 0.0138, exclusion0 = 0.0555,     dice1 = 0.04659, cross1 = 0.0446, kl1 = 0.0061, exclusion1 = 0.0470
1.1268165
Epoch: [ 60] [400/4000] time: 35003.8421, net0_loss = 0.11444, net0_acc = 0.9824, net0_test_acc = 0.9519,     net1_loss = 0.14336, net1_acc = 0.9790, net1_test_acc = 0.9447
Epoch: [ 60] [400/4000] time: 35003.8421, dice0 = 0.04098, cross0 = 0.0546, kl0 = 0.0048, exclusion0 = 0.0330,     dice1 = 0.05322, cross1 = 0.0545, kl1 = 0.0104, exclusion1 = 0.0609
1.1278688
Epoch: [ 60] [450/4000] time: 35011.2703, net0_loss = 0.15615, net0_acc = 0.9747, net0_test_acc = 0.9363,     net1_loss = 0.20470, net1_acc = 0.9653, net1_test_acc = 0.9905
Epoch: [ 60] [450/4000] time: 35011.2704, dice0 = 0.06131, cross0 = 0.0642, kl0 = 0.0045, exclusion0 = 0.0568,     dice1 = 0.07285, cross1 = 0.0892, kl1 = 0.0168, exclusion1 = 0.0684
1.1867894
Epoch: [ 60] [500/4000] time: 35018.6710, net0_loss = 0.19651, net0_acc = 0.9670, net0_test_acc = 0.8762,     net1_loss = 0.07425, net1_acc = 0.9890, net1_test_acc = 0.7992
Epoch: [ 60] [500/4000] time: 35018.6711, dice0 = 0.07653, cross0 = 0.0793, kl0 = 0.0123, exclusion0 = 0.0690,     dice1 = 0.02966, cross1 = 0.0291, kl1 = 0.0023, exclusion1 = 0.0288
1.1540258
Epoch: [ 60] [550/4000] time: 35026.0460, net0_loss = 0.13526, net0_acc = 0.9793, net0_test_acc = 0.8785,     net1_loss = 0.20331, net1_acc = 0.9683, net1_test_acc = 0.9853
Epoch: [ 60] [550/4000] time: 35026.0461, dice0 = 0.04896, cross0 = 0.0539, kl0 = 0.0112, exclusion0 = 0.0536,     dice1 = 0.07569, cross1 = 0.0847, kl1 = 0.0133, exclusion1 = 0.0725
1.165488
Epoch: [ 60] [600/4000] time: 35033.4915, net0_loss = 0.12921, net0_acc = 0.9796, net0_test_acc = 0.9652,     net1_loss = 0.29035, net1_acc = 0.9512, net1_test_acc = 0.9067
Epoch: [ 60] [600/4000] time: 35033.4915, dice0 = 0.04917, cross0 = 0.0475, kl0 = 0.0091, exclusion0 = 0.0559,     dice1 = 0.10051, cross1 = 0.1367, kl1 = 0.0213, exclusion1 = 0.0850
1.107977
Epoch: [ 60] [650/4000] time: 35040.7761, net0_loss = 0.04380, net0_acc = 0.9946, net0_test_acc = 0.8561,     net1_loss = 0.13784, net1_acc = 0.9766, net1_test_acc = 0.8958
Epoch: [ 60] [650/4000] time: 35040.7761, dice0 = 0.01716, cross0 = 0.0139, kl0 = 0.0027, exclusion0 = 0.0228,     dice1 = 0.05346, cross1 = 0.0569, kl1 = 0.0055, exclusion1 = 0.0495
1.2245052
Epoch: [ 60] [700/4000] time: 35048.2747, net0_loss = 0.09523, net0_acc = 0.9861, net0_test_acc = 0.8913,     net1_loss = 0.17832, net1_acc = 0.9710, net1_test_acc = 0.7962
Epoch: [ 60] [700/4000] time: 35048.2748, dice0 = 0.03503, cross0 = 0.0433, kl0 = 0.0046, exclusion0 = 0.0291,     dice1 = 0.06484, cross1 = 0.0841, kl1 = 0.0086, exclusion1 = 0.0500
1.0963485
Epoch: [ 60] [750/4000] time: 35055.7027, net0_loss = 0.12603, net0_acc = 0.9785, net0_test_acc = 0.9097,     net1_loss = 0.09690, net1_acc = 0.9835, net1_test_acc = 0.9428
Epoch: [ 60] [750/4000] time: 35055.7028, dice0 = 0.04944, cross0 = 0.0548, kl0 = 0.0038, exclusion0 = 0.0398,     dice1 = 0.03837, cross1 = 0.0420, kl1 = 0.0028, exclusion1 = 0.0302
1.0955822
Epoch: [ 60] [800/4000] time: 35063.1220, net0_loss = 0.03598, net0_acc = 0.9952, net0_test_acc = 0.9316,     net1_loss = 0.14081, net1_acc = 0.9758, net1_test_acc = 0.9264
Epoch: [ 60] [800/4000] time: 35063.1221, dice0 = 0.01451, cross0 = 0.0115, kl0 = 0.0015, exclusion0 = 0.0185,     dice1 = 0.05609, cross1 = 0.0588, kl1 = 0.0036, exclusion1 = 0.0482
1.0386068
Epoch: [ 60] [850/4000] time: 35070.5230, net0_loss = 0.19118, net0_acc = 0.9675, net0_test_acc = 0.9175,     net1_loss = 0.16902, net1_acc = 0.9725, net1_test_acc = 0.9276
Epoch: [ 60] [850/4000] time: 35070.5230, dice0 = 0.07329, cross0 = 0.0815, kl0 = 0.0074, exclusion0 = 0.0654,     dice1 = 0.06289, cross1 = 0.0716, kl1 = 0.0074, exclusion1 = 0.0618
1.1750132
Epoch: [ 60] [900/4000] time: 35077.9276, net0_loss = 0.24582, net0_acc = 0.9599, net0_test_acc = 0.9370,     net1_loss = 0.12732, net1_acc = 0.9788, net1_test_acc = 0.9527
Epoch: [ 60] [900/4000] time: 35077.9276, dice0 = 0.08304, cross0 = 0.1275, kl0 = 0.0096, exclusion0 = 0.0609,     dice1 = 0.05156, cross1 = 0.0509, kl1 = 0.0037, exclusion1 = 0.0461
1.1070974
Epoch: [ 60] [950/4000] time: 35085.3389, net0_loss = 0.18867, net0_acc = 0.9681, net0_test_acc = 0.9799,     net1_loss = 0.11539, net1_acc = 0.9810, net1_test_acc = 0.9889
Epoch: [ 60] [950/4000] time: 35085.3390, dice0 = 0.06881, cross0 = 0.0832, kl0 = 0.0119, exclusion0 = 0.0614,     dice1 = 0.04583, cross1 = 0.0432, kl1 = 0.0055, exclusion1 = 0.0472
1.0754708
Epoch: [ 60] [1000/4000] time: 35092.7855, net0_loss = 0.15633, net0_acc = 0.9721, net0_test_acc = 0.9688,     net1_loss = 0.21815, net1_acc = 0.9652, net1_test_acc = 0.9552
Epoch: [ 60] [1000/4000] time: 35092.7855, dice0 = 0.05819, cross0 = 0.0757, kl0 = 0.0057, exclusion0 = 0.0393,     dice1 = 0.08151, cross1 = 0.0852, kl1 = 0.0168, exclusion1 = 0.0860
1.2413098
Epoch: [ 60] [1050/4000] time: 35100.2202, net0_loss = 0.16293, net0_acc = 0.9728, net0_test_acc = 0.9782,     net1_loss = 0.15218, net1_acc = 0.9753, net1_test_acc = 0.9226
Epoch: [ 60] [1050/4000] time: 35100.2202, dice0 = 0.06106, cross0 = 0.0676, kl0 = 0.0108, exclusion0 = 0.0578,     dice1 = 0.05722, cross1 = 0.0635, kl1 = 0.0079, exclusion1 = 0.0550
1.1195669
Epoch: [ 60] [1100/4000] time: 35107.6355, net0_loss = 0.18912, net0_acc = 0.9684, net0_test_acc = 0.8798,     net1_loss = 0.24525, net1_acc = 0.9593, net1_test_acc = 0.9863
Epoch: [ 60] [1100/4000] time: 35107.6356, dice0 = 0.07362, cross0 = 0.0782, kl0 = 0.0073, exclusion0 = 0.0673,     dice1 = 0.08553, cross1 = 0.1260, kl1 = 0.0090, exclusion1 = 0.0583
1.0757723
Epoch: [ 60] [1150/4000] time: 35114.9859, net0_loss = 0.09803, net0_acc = 0.9844, net0_test_acc = 0.9380,     net1_loss = 0.18137, net1_acc = 0.9681, net1_test_acc = 0.9883
Epoch: [ 60] [1150/4000] time: 35114.9859, dice0 = 0.03804, cross0 = 0.0425, kl0 = 0.0029, exclusion0 = 0.0321,     dice1 = 0.06763, cross1 = 0.0873, kl1 = 0.0060, exclusion1 = 0.0468
1.1770494
Epoch: [ 60] [1200/4000] time: 35122.4048, net0_loss = 0.25199, net0_acc = 0.9535, net0_test_acc = 0.9139,     net1_loss = 0.19779, net1_acc = 0.9681, net1_test_acc = 0.9055
Epoch: [ 60] [1200/4000] time: 35122.4048, dice0 = 0.09082, cross0 = 0.1334, kl0 = 0.0066, exclusion0 = 0.0490,     dice1 = 0.07021, cross1 = 0.0948, kl1 = 0.0090, exclusion1 = 0.0566
1.169957
Epoch: [ 60] [1250/4000] time: 35129.8411, net0_loss = 0.11275, net0_acc = 0.9807, net0_test_acc = 0.9631,     net1_loss = 0.13003, net1_acc = 0.9790, net1_test_acc = 0.9601
Epoch: [ 60] [1250/4000] time: 35129.8411, dice0 = 0.04263, cross0 = 0.0471, kl0 = 0.0074, exclusion0 = 0.0386,     dice1 = 0.05088, cross1 = 0.0521, kl1 = 0.0047, exclusion1 = 0.0494
1.1192871
Epoch: [ 60] [1300/4000] time: 35137.2405, net0_loss = 0.21617, net0_acc = 0.9667, net0_test_acc = 0.7453,     net1_loss = 0.09782, net1_acc = 0.9822, net1_test_acc = 0.8981
Epoch: [ 60] [1300/4000] time: 35137.2405, dice0 = 0.07855, cross0 = 0.0810, kl0 = 0.0221, exclusion0 = 0.0911,     dice1 = 0.03932, cross1 = 0.0401, kl1 = 0.0038, exclusion1 = 0.0329
1.2050095
Epoch: [ 60] [1350/4000] time: 35144.6061, net0_loss = 0.13028, net0_acc = 0.9778, net0_test_acc = 0.8340,     net1_loss = 0.08738, net1_acc = 0.9870, net1_test_acc = 0.8217
Epoch: [ 60] [1350/4000] time: 35144.6061, dice0 = 0.05128, cross0 = 0.0539, kl0 = 0.0049, exclusion0 = 0.0453,     dice1 = 0.03251, cross1 = 0.0308, kl1 = 0.0086, exclusion1 = 0.0395
1.1650424
Epoch: [ 60] [1400/4000] time: 35151.9987, net0_loss = 0.05611, net0_acc = 0.9921, net0_test_acc = 0.9857,     net1_loss = 0.12708, net1_acc = 0.9776, net1_test_acc = 0.9653
Epoch: [ 60] [1400/4000] time: 35151.9988, dice0 = 0.02288, cross0 = 0.0199, kl0 = 0.0015, exclusion0 = 0.0253,     dice1 = 0.04860, cross1 = 0.0554, kl1 = 0.0055, exclusion1 = 0.0407
1.1497502
Epoch: [ 60] [1450/4000] time: 35159.4656, net0_loss = 0.03947, net0_acc = 0.9946, net0_test_acc = 0.9402,     net1_loss = 0.18876, net1_acc = 0.9703, net1_test_acc = 0.9418
Epoch: [ 60] [1450/4000] time: 35159.4657, dice0 = 0.01596, cross0 = 0.0132, kl0 = 0.0017, exclusion0 = 0.0189,     dice1 = 0.07013, cross1 = 0.0812, kl1 = 0.0096, exclusion1 = 0.0653
1.1444592
Epoch: [ 60] [1500/4000] time: 35166.8619, net0_loss = 0.10800, net0_acc = 0.9810, net0_test_acc = 0.9482,     net1_loss = 0.11407, net1_acc = 0.9830, net1_test_acc = 0.9710
Epoch: [ 60] [1500/4000] time: 35166.8620, dice0 = 0.04183, cross0 = 0.0498, kl0 = 0.0027, exclusion0 = 0.0300,     dice1 = 0.04421, cross1 = 0.0404, kl1 = 0.0081, exclusion1 = 0.0508
1.1767328
Epoch: [ 60] [1550/4000] time: 35174.2917, net0_loss = 0.08674, net0_acc = 0.9872, net0_test_acc = 0.9117,     net1_loss = 0.09881, net1_acc = 0.9838, net1_test_acc = 0.9781
Epoch: [ 60] [1550/4000] time: 35174.2917, dice0 = 0.03513, cross0 = 0.0306, kl0 = 0.0036, exclusion0 = 0.0384,     dice1 = 0.03597, cross1 = 0.0447, kl1 = 0.0054, exclusion1 = 0.0310
1.0926269
Epoch: [ 60] [1600/4000] time: 35181.6862, net0_loss = 0.20086, net0_acc = 0.9668, net0_test_acc = 0.9511,     net1_loss = 0.11224, net1_acc = 0.9818, net1_test_acc = 0.9383
Epoch: [ 60] [1600/4000] time: 35181.6863, dice0 = 0.07665, cross0 = 0.0840, kl0 = 0.0089, exclusion0 = 0.0714,     dice1 = 0.04204, cross1 = 0.0475, kl1 = 0.0068, exclusion1 = 0.0386
1.1718397
Epoch: [ 60] [1650/4000] time: 35189.1121, net0_loss = 0.26149, net0_acc = 0.9588, net0_test_acc = 0.9237,     net1_loss = 0.13494, net1_acc = 0.9806, net1_test_acc = 0.8919
Epoch: [ 60] [1650/4000] time: 35189.1121, dice0 = 0.10113, cross0 = 0.1016, kl0 = 0.0138, exclusion0 = 0.1037,     dice1 = 0.05343, cross1 = 0.0485, kl1 = 0.0071, exclusion1 = 0.0589
1.2171108
Epoch: [ 60] [1700/4000] time: 35196.5196, net0_loss = 0.29385, net0_acc = 0.9542, net0_test_acc = 0.9752,     net1_loss = 0.07689, net1_acc = 0.9862, net1_test_acc = 0.9061
Epoch: [ 60] [1700/4000] time: 35196.5196, dice0 = 0.10732, cross0 = 0.1140, kl0 = 0.0224, exclusion0 = 0.1226,     dice1 = 0.02933, cross1 = 0.0369, kl1 = 0.0022, exclusion1 = 0.0191
1.1887332
Epoch: [ 60] [1750/4000] time: 35203.9411, net0_loss = 0.21789, net0_acc = 0.9630, net0_test_acc = 0.7333,     net1_loss = 0.09093, net1_acc = 0.9865, net1_test_acc = 0.9531
Epoch: [ 60] [1750/4000] time: 35203.9413, dice0 = 0.07858, cross0 = 0.1025, kl0 = 0.0098, exclusion0 = 0.0638,     dice1 = 0.03597, cross1 = 0.0305, kl1 = 0.0063, exclusion1 = 0.0426
1.222927
Epoch: [ 60] [1800/4000] time: 35211.3289, net0_loss = 0.17359, net0_acc = 0.9736, net0_test_acc = 0.8917,     net1_loss = 0.13762, net1_acc = 0.9760, net1_test_acc = 0.8189
Epoch: [ 60] [1800/4000] time: 35211.3290, dice0 = 0.06426, cross0 = 0.0730, kl0 = 0.0110, exclusion0 = 0.0617,     dice1 = 0.05455, cross1 = 0.0564, kl1 = 0.0052, exclusion1 = 0.0482
1.0911425
Epoch: [ 60] [1850/4000] time: 35218.6481, net0_loss = 0.12447, net0_acc = 0.9795, net0_test_acc = 0.8782,     net1_loss = 0.24929, net1_acc = 0.9585, net1_test_acc = 0.9725
Epoch: [ 60] [1850/4000] time: 35218.6482, dice0 = 0.04729, cross0 = 0.0524, kl0 = 0.0069, exclusion0 = 0.0427,     dice1 = 0.09284, cross1 = 0.0989, kl1 = 0.0196, exclusion1 = 0.0955
1.2067114
Epoch: [ 60] [1900/4000] time: 35226.1511, net0_loss = 0.14326, net0_acc = 0.9765, net0_test_acc = 0.9202,     net1_loss = 0.06883, net1_acc = 0.9900, net1_test_acc = 0.9789
Epoch: [ 60] [1900/4000] time: 35226.1511, dice0 = 0.05463, cross0 = 0.0619, kl0 = 0.0052, exclusion0 = 0.0481,     dice1 = 0.02657, cross1 = 0.0261, kl1 = 0.0034, exclusion1 = 0.0290
1.1983697
Epoch: [ 60] [1950/4000] time: 35233.5439, net0_loss = 0.14063, net0_acc = 0.9759, net0_test_acc = 0.9023,     net1_loss = 0.13417, net1_acc = 0.9792, net1_test_acc = 0.9467
Epoch: [ 60] [1950/4000] time: 35233.5439, dice0 = 0.05251, cross0 = 0.0715, kl0 = 0.0019, exclusion0 = 0.0312,     dice1 = 0.05219, cross1 = 0.0519, kl1 = 0.0076, exclusion1 = 0.0526
1.097164
Epoch: [ 60] [2000/4000] time: 35240.9732, net0_loss = 0.15269, net0_acc = 0.9747, net0_test_acc = 0.9531,     net1_loss = 0.02532, net1_acc = 0.9971, net1_test_acc = 0.8989
Epoch: [ 60] [2000/4000] time: 35240.9732, dice0 = 0.05715, cross0 = 0.0648, kl0 = 0.0081, exclusion0 = 0.0534,     dice1 = 0.01024, cross1 = 0.0079, kl1 = 0.0013, exclusion1 = 0.0130
1.2152385
Epoch: [ 60] [2050/4000] time: 35248.3743, net0_loss = 0.10347, net0_acc = 0.9868, net0_test_acc = 0.7639,     net1_loss = 0.05772, net1_acc = 0.9922, net1_test_acc = 0.8319
Epoch: [ 60] [2050/4000] time: 35248.3744, dice0 = 0.03737, cross0 = 0.0340, kl0 = 0.0115, exclusion0 = 0.0527,     dice1 = 0.02272, cross1 = 0.0181, kl1 = 0.0038, exclusion1 = 0.0299
1.1592704
Epoch: [ 60] [2100/4000] time: 35255.8226, net0_loss = 0.03819, net0_acc = 0.9954, net0_test_acc = 0.8402,     net1_loss = 0.04728, net1_acc = 0.9933, net1_test_acc = 0.8326
Epoch: [ 60] [2100/4000] time: 35255.8227, dice0 = 0.01497, cross0 = 0.0123, kl0 = 0.0020, exclusion0 = 0.0200,     dice1 = 0.01753, cross1 = 0.0182, kl1 = 0.0032, exclusion1 = 0.0198
1.1761471
Epoch: [ 60] [2150/4000] time: 35263.2300, net0_loss = 0.13733, net0_acc = 0.9777, net0_test_acc = 0.9773,     net1_loss = 0.08584, net1_acc = 0.9886, net1_test_acc = 0.9479
Epoch: [ 60] [2150/4000] time: 35263.2301, dice0 = 0.05251, cross0 = 0.0598, kl0 = 0.0041, exclusion0 = 0.0459,     dice1 = 0.03333, cross1 = 0.0270, kl1 = 0.0055, exclusion1 = 0.0454
1.23642
Epoch: [ 60] [2200/4000] time: 35270.4905, net0_loss = 0.19044, net0_acc = 0.9717, net0_test_acc = 0.9890,     net1_loss = 0.06877, net1_acc = 0.9904, net1_test_acc = 0.9491
Epoch: [ 60] [2200/4000] time: 35270.4906, dice0 = 0.07552, cross0 = 0.0676, kl0 = 0.0091, exclusion0 = 0.0856,     dice1 = 0.02654, cross1 = 0.0244, kl1 = 0.0041, exclusion1 = 0.0315
1.1862675
Epoch: [ 60] [2250/4000] time: 35278.0293, net0_loss = 0.10392, net0_acc = 0.9839, net0_test_acc = 0.9488,     net1_loss = 0.32476, net1_acc = 0.9464, net1_test_acc = 0.8971
Epoch: [ 60] [2250/4000] time: 35278.0293, dice0 = 0.04075, cross0 = 0.0406, kl0 = 0.0042, exclusion0 = 0.0410,     dice1 = 0.11104, cross1 = 0.1585, kl1 = 0.0236, exclusion1 = 0.0870
1.1981956
Epoch: [ 60] [2300/4000] time: 35285.4817, net0_loss = 0.10250, net0_acc = 0.9841, net0_test_acc = 0.9781,     net1_loss = 0.04089, net1_acc = 0.9950, net1_test_acc = 0.8851
Epoch: [ 60] [2300/4000] time: 35285.4817, dice0 = 0.04128, cross0 = 0.0377, kl0 = 0.0043, exclusion0 = 0.0427,     dice1 = 0.01487, cross1 = 0.0164, kl1 = 0.0020, exclusion1 = 0.0172
1.126688
Epoch: [ 60] [2350/4000] time: 35292.8801, net0_loss = 0.03175, net0_acc = 0.9956, net0_test_acc = 0.9451,     net1_loss = 0.23631, net1_acc = 0.9593, net1_test_acc = 0.9608
Epoch: [ 60] [2350/4000] time: 35292.8801, dice0 = 0.01248, cross0 = 0.0121, kl0 = 0.0011, exclusion0 = 0.0132,     dice1 = 0.08750, cross1 = 0.1051, kl1 = 0.0134, exclusion1 = 0.0739
1.1417377
Epoch: [ 60] [2400/4000] time: 35300.2483, net0_loss = 0.13408, net0_acc = 0.9805, net0_test_acc = 0.9398,     net1_loss = 0.11831, net1_acc = 0.9811, net1_test_acc = 0.9767
Epoch: [ 60] [2400/4000] time: 35300.2483, dice0 = 0.05258, cross0 = 0.0471, kl0 = 0.0076, exclusion0 = 0.0612,     dice1 = 0.04401, cross1 = 0.0534, kl1 = 0.0042, exclusion1 = 0.0375
1.1920022
Epoch: [ 60] [2450/4000] time: 35307.7270, net0_loss = 0.22389, net0_acc = 0.9605, net0_test_acc = 0.8738,     net1_loss = 0.18147, net1_acc = 0.9709, net1_test_acc = 0.9531
Epoch: [ 60] [2450/4000] time: 35307.7270, dice0 = 0.08317, cross0 = 0.1124, kl0 = 0.0043, exclusion0 = 0.0524,     dice1 = 0.06576, cross1 = 0.0730, kl1 = 0.0153, exclusion1 = 0.0701
1.2161192
Epoch: [ 60] [2500/4000] time: 35315.1232, net0_loss = 0.13273, net0_acc = 0.9758, net0_test_acc = 0.9085,     net1_loss = 0.12244, net1_acc = 0.9817, net1_test_acc = 0.9626
Epoch: [ 60] [2500/4000] time: 35315.1232, dice0 = 0.05185, cross0 = 0.0577, kl0 = 0.0053, exclusion0 = 0.0410,     dice1 = 0.04516, cross1 = 0.0515, kl1 = 0.0065, exclusion1 = 0.0451
1.3306534
Epoch: [ 60] [2550/4000] time: 35322.5653, net0_loss = 0.13150, net0_acc = 0.9796, net0_test_acc = 0.9688,     net1_loss = 0.13210, net1_acc = 0.9787, net1_test_acc = 0.9525
Epoch: [ 60] [2550/4000] time: 35322.5653, dice0 = 0.05014, cross0 = 0.0486, kl0 = 0.0083, exclusion0 = 0.0572,     dice1 = 0.04733, cross1 = 0.0515, kl1 = 0.0144, exclusion1 = 0.0522
1.2405505
Epoch: [ 60] [2600/4000] time: 35329.9267, net0_loss = 0.19395, net0_acc = 0.9687, net0_test_acc = 0.9084,     net1_loss = 0.21189, net1_acc = 0.9656, net1_test_acc = 0.9714
Epoch: [ 60] [2600/4000] time: 35329.9268, dice0 = 0.06740, cross0 = 0.1027, kl0 = 0.0066, exclusion0 = 0.0412,     dice1 = 0.07998, cross1 = 0.0891, kl1 = 0.0089, exclusion1 = 0.0767
1.077744
Epoch: [ 60] [2650/4000] time: 35337.3783, net0_loss = 0.14303, net0_acc = 0.9760, net0_test_acc = 0.9792,     net1_loss = 0.03743, net1_acc = 0.9947, net1_test_acc = 0.9553
Epoch: [ 60] [2650/4000] time: 35337.3784, dice0 = 0.05304, cross0 = 0.0690, kl0 = 0.0045, exclusion0 = 0.0376,     dice1 = 0.01498, cross1 = 0.0125, kl1 = 0.0019, exclusion1 = 0.0179
1.1225961
Epoch: [ 60] [2700/4000] time: 35344.8527, net0_loss = 0.16983, net0_acc = 0.9724, net0_test_acc = 0.7249,     net1_loss = 0.24958, net1_acc = 0.9566, net1_test_acc = 0.9263
Epoch: [ 60] [2700/4000] time: 35344.8528, dice0 = 0.06459, cross0 = 0.0716, kl0 = 0.0081, exclusion0 = 0.0591,     dice1 = 0.09192, cross1 = 0.1170, kl1 = 0.0089, exclusion1 = 0.0723
1.0788487
Epoch: [ 60] [2750/4000] time: 35352.2198, net0_loss = 0.17187, net0_acc = 0.9711, net0_test_acc = 0.9324,     net1_loss = 0.19709, net1_acc = 0.9708, net1_test_acc = 0.9482
Epoch: [ 60] [2750/4000] time: 35352.2199, dice0 = 0.06388, cross0 = 0.0824, kl0 = 0.0045, exclusion0 = 0.0467,     dice1 = 0.06738, cross1 = 0.0689, kl1 = 0.0283, exclusion1 = 0.0933
1.2017139
Epoch: [ 60] [2800/4000] time: 35359.6523, net0_loss = 0.10000, net0_acc = 0.9845, net0_test_acc = 0.9298,     net1_loss = 0.23373, net1_acc = 0.9623, net1_test_acc = 0.9613
Epoch: [ 60] [2800/4000] time: 35359.6524, dice0 = 0.03526, cross0 = 0.0460, kl0 = 0.0056, exclusion0 = 0.0320,     dice1 = 0.08540, cross1 = 0.1048, kl1 = 0.0099, exclusion1 = 0.0772
1.1401545
Epoch: [ 60] [2850/4000] time: 35367.0644, net0_loss = 0.04874, net0_acc = 0.9926, net0_test_acc = 0.9422,     net1_loss = 0.13651, net1_acc = 0.9778, net1_test_acc = 0.9298
Epoch: [ 60] [2850/4000] time: 35367.0645, dice0 = 0.01966, cross0 = 0.0181, kl0 = 0.0014, exclusion0 = 0.0206,     dice1 = 0.05284, cross1 = 0.0590, kl1 = 0.0048, exclusion1 = 0.0446
1.1998394
Epoch: [ 60] [2900/4000] time: 35374.4586, net0_loss = 0.20694, net0_acc = 0.9673, net0_test_acc = 0.7970,     net1_loss = 0.29920, net1_acc = 0.9519, net1_test_acc = 0.9377
Epoch: [ 60] [2900/4000] time: 35374.4587, dice0 = 0.07384, cross0 = 0.0895, kl0 = 0.0160, exclusion0 = 0.0711,     dice1 = 0.09651, cross1 = 0.1667, kl1 = 0.0111, exclusion1 = 0.0609
1.2380886
Epoch: [ 60] [2950/4000] time: 35381.8848, net0_loss = 0.20261, net0_acc = 0.9670, net0_test_acc = 0.9158,     net1_loss = 0.23026, net1_acc = 0.9609, net1_test_acc = 0.8902
Epoch: [ 60] [2950/4000] time: 35381.8849, dice0 = 0.07598, cross0 = 0.0823, kl0 = 0.0122, exclusion0 = 0.0764,     dice1 = 0.09004, cross1 = 0.0967, kl1 = 0.0067, exclusion1 = 0.0804
1.0910858
Epoch: [ 60] [3000/4000] time: 35389.2883, net0_loss = 0.17910, net0_acc = 0.9718, net0_test_acc = 0.9501,     net1_loss = 0.06698, net1_acc = 0.9906, net1_test_acc = 0.9368
Epoch: [ 60] [3000/4000] time: 35389.2884, dice0 = 0.06554, cross0 = 0.0706, kl0 = 0.0130, exclusion0 = 0.0729,     dice1 = 0.02748, cross1 = 0.0232, kl1 = 0.0026, exclusion1 = 0.0301
1.0744885
Epoch: [ 60] [3050/4000] time: 35396.7794, net0_loss = 0.12431, net0_acc = 0.9816, net0_test_acc = 0.8167,     net1_loss = 0.05653, net1_acc = 0.9915, net1_test_acc = 0.9328
Epoch: [ 60] [3050/4000] time: 35396.7794, dice0 = 0.04285, cross0 = 0.0539, kl0 = 0.0100, exclusion0 = 0.0452,     dice1 = 0.02129, cross1 = 0.0244, kl1 = 0.0020, exclusion1 = 0.0197
1.2269831
Epoch: [ 60] [3100/4000] time: 35404.0498, net0_loss = 0.06959, net0_acc = 0.9890, net0_test_acc = 0.9669,     net1_loss = 0.42463, net1_acc = 0.9321, net1_test_acc = 0.9596
Epoch: [ 60] [3100/4000] time: 35404.0499, dice0 = 0.02768, cross0 = 0.0284, kl0 = 0.0022, exclusion0 = 0.0248,     dice1 = 0.13947, cross1 = 0.2200, kl1 = 0.0219, exclusion1 = 0.1085
1.1877738
Epoch: [ 60] [3150/4000] time: 35411.5599, net0_loss = 0.07934, net0_acc = 0.9871, net0_test_acc = 0.9514,     net1_loss = 0.16230, net1_acc = 0.9741, net1_test_acc = 0.9906
Epoch: [ 60] [3150/4000] time: 35411.5600, dice0 = 0.03089, cross0 = 0.0331, kl0 = 0.0030, exclusion0 = 0.0276,     dice1 = 0.06147, cross1 = 0.0694, kl1 = 0.0070, exclusion1 = 0.0559
1.1499488
Epoch: [ 60] [3200/4000] time: 35419.0001, net0_loss = 0.15865, net0_acc = 0.9747, net0_test_acc = 0.9600,     net1_loss = 0.25562, net1_acc = 0.9555, net1_test_acc = 0.9038
Epoch: [ 60] [3200/4000] time: 35419.0002, dice0 = 0.06156, cross0 = 0.0619, kl0 = 0.0078, exclusion0 = 0.0625,     dice1 = 0.09437, cross1 = 0.1179, kl1 = 0.0092, exclusion1 = 0.0774
1.1523224
Epoch: [ 60] [3250/4000] time: 35426.4141, net0_loss = 0.13146, net0_acc = 0.9786, net0_test_acc = 0.8613,     net1_loss = 0.17640, net1_acc = 0.9708, net1_test_acc = 0.9131
Epoch: [ 60] [3250/4000] time: 35426.4142, dice0 = 0.04898, cross0 = 0.0610, kl0 = 0.0049, exclusion0 = 0.0380,     dice1 = 0.06495, cross1 = 0.0768, kl1 = 0.0120, exclusion1 = 0.0573
1.2405503
Epoch: [ 60] [3300/4000] time: 35433.8368, net0_loss = 0.09949, net0_acc = 0.9845, net0_test_acc = 0.8182,     net1_loss = 0.25342, net1_acc = 0.9606, net1_test_acc = 0.9733
Epoch: [ 60] [3300/4000] time: 35433.8369, dice0 = 0.03797, cross0 = 0.0379, kl0 = 0.0062, exclusion0 = 0.0410,     dice1 = 0.10012, cross1 = 0.1017, kl1 = 0.0077, exclusion1 = 0.0955
1.0815786
Epoch: [ 60] [3350/4000] time: 35441.2587, net0_loss = 0.07014, net0_acc = 0.9896, net0_test_acc = 0.9815,     net1_loss = 0.23142, net1_acc = 0.9626, net1_test_acc = 0.9093
Epoch: [ 60] [3350/4000] time: 35441.2588, dice0 = 0.02663, cross0 = 0.0258, kl0 = 0.0045, exclusion0 = 0.0309,     dice1 = 0.08280, cross1 = 0.1153, kl1 = 0.0057, exclusion1 = 0.0609
1.1741791
Epoch: [ 60] [3400/4000] time: 35448.6682, net0_loss = 0.17873, net0_acc = 0.9707, net0_test_acc = 0.9229,     net1_loss = 0.08702, net1_acc = 0.9873, net1_test_acc = 0.9604
Epoch: [ 60] [3400/4000] time: 35448.6682, dice0 = 0.06538, cross0 = 0.0815, kl0 = 0.0089, exclusion0 = 0.0548,     dice1 = 0.03339, cross1 = 0.0335, kl1 = 0.0054, exclusion1 = 0.0349
1.1819439
Epoch: [ 60] [3450/4000] time: 35456.0242, net0_loss = 0.09947, net0_acc = 0.9850, net0_test_acc = 0.9019,     net1_loss = 0.14450, net1_acc = 0.9769, net1_test_acc = 0.9229
Epoch: [ 60] [3450/4000] time: 35456.0242, dice0 = 0.03419, cross0 = 0.0405, kl0 = 0.0091, exclusion0 = 0.0405,     dice1 = 0.05671, cross1 = 0.0563, kl1 = 0.0087, exclusion1 = 0.0542
1.1314666
Epoch: [ 60] [3500/4000] time: 35463.4869, net0_loss = 0.06188, net0_acc = 0.9915, net0_test_acc = 0.9323,     net1_loss = 0.19343, net1_acc = 0.9679, net1_test_acc = 0.8926
Epoch: [ 60] [3500/4000] time: 35463.4870, dice0 = 0.02516, cross0 = 0.0209, kl0 = 0.0020, exclusion0 = 0.0295,     dice1 = 0.07662, cross1 = 0.0765, kl1 = 0.0086, exclusion1 = 0.0721
1.1079228
Epoch: [ 60] [3550/4000] time: 35470.9188, net0_loss = 0.11879, net0_acc = 0.9797, net0_test_acc = 0.9709,     net1_loss = 0.07337, net1_acc = 0.9889, net1_test_acc = 0.9522
Epoch: [ 60] [3550/4000] time: 35470.9189, dice0 = 0.04148, cross0 = 0.0652, kl0 = 0.0027, exclusion0 = 0.0216,     dice1 = 0.02895, cross1 = 0.0272, kl1 = 0.0034, exclusion1 = 0.0309
1.1563029
Epoch: [ 60] [3600/4000] time: 35478.3289, net0_loss = 0.09142, net0_acc = 0.9860, net0_test_acc = 0.9366,     net1_loss = 0.22875, net1_acc = 0.9669, net1_test_acc = 0.9437
Epoch: [ 60] [3600/4000] time: 35478.3290, dice0 = 0.03458, cross0 = 0.0317, kl0 = 0.0079, exclusion0 = 0.0424,     dice1 = 0.06811, cross1 = 0.1303, kl1 = 0.0132, exclusion1 = 0.0474
1.2988214
Epoch: [ 60] [3650/4000] time: 35485.7729, net0_loss = 0.21745, net0_acc = 0.9646, net0_test_acc = 0.9427,     net1_loss = 0.12178, net1_acc = 0.9796, net1_test_acc = 0.7783
Epoch: [ 60] [3650/4000] time: 35485.7729, dice0 = 0.07377, cross0 = 0.1034, kl0 = 0.0138, exclusion0 = 0.0667,     dice1 = 0.04560, cross1 = 0.0590, kl1 = 0.0028, exclusion1 = 0.0316
1.1881889
Epoch: [ 60] [3700/4000] time: 35493.1260, net0_loss = 0.07611, net0_acc = 0.9906, net0_test_acc = 0.8603,     net1_loss = 0.26112, net1_acc = 0.9575, net1_test_acc = 0.9094
Epoch: [ 60] [3700/4000] time: 35493.1260, dice0 = 0.03014, cross0 = 0.0247, kl0 = 0.0050, exclusion0 = 0.0376,     dice1 = 0.09289, cross1 = 0.1080, kl1 = 0.0181, exclusion1 = 0.1023
1.1423024
Epoch: [ 60] [3750/4000] time: 35500.5466, net0_loss = 0.07760, net0_acc = 0.9879, net0_test_acc = 0.9158,     net1_loss = 0.10886, net1_acc = 0.9828, net1_test_acc = 0.7561
Epoch: [ 60] [3750/4000] time: 35500.5467, dice0 = 0.03037, cross0 = 0.0296, kl0 = 0.0042, exclusion0 = 0.0312,     dice1 = 0.04332, cross1 = 0.0410, kl1 = 0.0052, exclusion1 = 0.0439
1.2503425
Epoch: [ 60] [3800/4000] time: 35507.9986, net0_loss = 0.21460, net0_acc = 0.9660, net0_test_acc = 0.9381,     net1_loss = 0.27190, net1_acc = 0.9556, net1_test_acc = 0.9426
Epoch: [ 60] [3800/4000] time: 35507.9987, dice0 = 0.07251, cross0 = 0.0967, kl0 = 0.0164, exclusion0 = 0.0744,     dice1 = 0.10352, cross1 = 0.1076, kl1 = 0.0171, exclusion1 = 0.1044
1.1852189
Epoch: [ 60] [3850/4000] time: 35515.3979, net0_loss = 0.22127, net0_acc = 0.9610, net0_test_acc = 0.9228,     net1_loss = 0.04431, net1_acc = 0.9942, net1_test_acc = 0.9333
Epoch: [ 60] [3850/4000] time: 35515.3979, dice0 = 0.08087, cross0 = 0.0983, kl0 = 0.0133, exclusion0 = 0.0709,     dice1 = 0.01756, cross1 = 0.0159, kl1 = 0.0022, exclusion1 = 0.0196
1.3755836
Epoch: [ 60] [3900/4000] time: 35522.8562, net0_loss = 0.11726, net0_acc = 0.9812, net0_test_acc = 0.9736,     net1_loss = 0.14807, net1_acc = 0.9742, net1_test_acc = 0.9286
Epoch: [ 60] [3900/4000] time: 35522.8563, dice0 = 0.04542, cross0 = 0.0450, kl0 = 0.0060, exclusion0 = 0.0477,     dice1 = 0.05820, cross1 = 0.0672, kl1 = 0.0030, exclusion1 = 0.0424
1.3045968
Epoch: [ 60] [3950/4000] time: 35530.2419, net0_loss = 0.10688, net0_acc = 0.9852, net0_test_acc = 0.8935,     net1_loss = 0.31721, net1_acc = 0.9445, net1_test_acc = 0.8530
Epoch: [ 60] [3950/4000] time: 35530.2419, dice0 = 0.04196, cross0 = 0.0370, kl0 = 0.0068, exclusion0 = 0.0490,     dice1 = 0.11710, cross1 = 0.1325, kl1 = 0.0244, exclusion1 = 0.1107
1.2515907
Epoch: [ 61] [  0/4000] time: 35538.6810, net0_loss = 0.18344, net0_acc = 0.9702, net0_test_acc = 0.9481,     net1_loss = 0.20156, net1_acc = 0.9702, net1_test_acc = 0.9827
Epoch: [ 61] [  0/4000] time: 35538.6811, dice0 = 0.06221, cross0 = 0.0974, kl0 = 0.0055, exclusion0 = 0.0422,     dice1 = 0.07397, cross1 = 0.0722, kl1 = 0.0189, exclusion1 = 0.0920
1.1948938
Epoch: [ 61] [ 50/4000] time: 35545.9780, net0_loss = 0.18550, net0_acc = 0.9725, net0_test_acc = 0.8735,     net1_loss = 0.15713, net1_acc = 0.9752, net1_test_acc = 0.8831
Epoch: [ 61] [ 50/4000] time: 35545.9781, dice0 = 0.07455, cross0 = 0.0658, kl0 = 0.0073, exclusion0 = 0.0829,     dice1 = 0.05808, cross1 = 0.0642, kl1 = 0.0095, exclusion1 = 0.0603
1.1455262
Epoch: [ 61] [100/4000] time: 35553.3887, net0_loss = 0.13525, net0_acc = 0.9789, net0_test_acc = 0.9281,     net1_loss = 0.13867, net1_acc = 0.9785, net1_test_acc = 0.9164
Epoch: [ 61] [100/4000] time: 35553.3888, dice0 = 0.05126, cross0 = 0.0555, kl0 = 0.0071, exclusion0 = 0.0499,     dice1 = 0.05128, cross1 = 0.0544, kl1 = 0.0101, exclusion1 = 0.0559
1.1678416
Epoch: [ 61] [150/4000] time: 35560.8005, net0_loss = 0.05163, net0_acc = 0.9919, net0_test_acc = 0.9574,     net1_loss = 0.08506, net1_acc = 0.9871, net1_test_acc = 0.9400
Epoch: [ 61] [150/4000] time: 35560.8005, dice0 = 0.02034, cross0 = 0.0201, kl0 = 0.0026, exclusion0 = 0.0198,     dice1 = 0.03466, cross1 = 0.0322, kl1 = 0.0022, exclusion1 = 0.0342
1.1523964
Epoch: [ 61] [200/4000] time: 35568.2755, net0_loss = 0.07231, net0_acc = 0.9882, net0_test_acc = 0.9323,     net1_loss = 0.10366, net1_acc = 0.9841, net1_test_acc = 0.9895
Epoch: [ 61] [200/4000] time: 35568.2756, dice0 = 0.02921, cross0 = 0.0291, kl0 = 0.0024, exclusion0 = 0.0257,     dice1 = 0.04007, cross1 = 0.0401, kl1 = 0.0049, exclusion1 = 0.0419
1.2833028
Epoch: [ 61] [250/4000] time: 35575.6936, net0_loss = 0.20416, net0_acc = 0.9677, net0_test_acc = 0.9391,     net1_loss = 0.07581, net1_acc = 0.9885, net1_test_acc = 0.7956
Epoch: [ 61] [250/4000] time: 35575.6937, dice0 = 0.07742, cross0 = 0.0791, kl0 = 0.0114, exclusion0 = 0.0838,     dice1 = 0.03059, cross1 = 0.0264, kl1 = 0.0040, exclusion1 = 0.0336
1.1053597
Epoch: [ 61] [300/4000] time: 35583.1024, net0_loss = 0.07808, net0_acc = 0.9876, net0_test_acc = 0.8782,     net1_loss = 0.15433, net1_acc = 0.9740, net1_test_acc = 0.9848
Epoch: [ 61] [300/4000] time: 35583.1025, dice0 = 0.03043, cross0 = 0.0313, kl0 = 0.0032, exclusion0 = 0.0294,     dice1 = 0.05894, cross1 = 0.0680, kl1 = 0.0051, exclusion1 = 0.0496
1.1617199
Epoch: [ 61] [350/4000] time: 35590.5129, net0_loss = 0.19362, net0_acc = 0.9672, net0_test_acc = 0.9478,     net1_loss = 0.25727, net1_acc = 0.9571, net1_test_acc = 0.9047
Epoch: [ 61] [350/4000] time: 35590.5129, dice0 = 0.07098, cross0 = 0.0969, kl0 = 0.0049, exclusion0 = 0.0465,     dice1 = 0.09393, cross1 = 0.1105, kl1 = 0.0166, exclusion1 = 0.0892
1.1220394
Epoch: [ 61] [400/4000] time: 35597.9460, net0_loss = 0.13224, net0_acc = 0.9799, net0_test_acc = 0.8621,     net1_loss = 0.14906, net1_acc = 0.9756, net1_test_acc = 0.9098
Epoch: [ 61] [400/4000] time: 35597.9460, dice0 = 0.05100, cross0 = 0.0474, kl0 = 0.0102, exclusion0 = 0.0574,     dice1 = 0.05769, cross1 = 0.0599, kl1 = 0.0069, exclusion1 = 0.0560
1.0779493
Epoch: [ 61] [450/4000] time: 35605.3623, net0_loss = 0.11402, net0_acc = 0.9840, net0_test_acc = 0.9095,     net1_loss = 0.34159, net1_acc = 0.9456, net1_test_acc = 0.8017
Epoch: [ 61] [450/4000] time: 35605.3623, dice0 = 0.04288, cross0 = 0.0348, kl0 = 0.0106, exclusion0 = 0.0620,     dice1 = 0.11310, cross1 = 0.1714, kl1 = 0.0207, exclusion1 = 0.0936
1.0313138
Epoch: [ 61] [500/4000] time: 35612.7569, net0_loss = 0.09809, net0_acc = 0.9851, net0_test_acc = 0.9067,     net1_loss = 0.38708, net1_acc = 0.9357, net1_test_acc = 0.8798
Epoch: [ 61] [500/4000] time: 35612.7570, dice0 = 0.03397, cross0 = 0.0452, kl0 = 0.0069, exclusion0 = 0.0310,     dice1 = 0.14559, cross1 = 0.1672, kl1 = 0.0162, exclusion1 = 0.1325
1.0631787
Epoch: [ 61] [550/4000] time: 35620.1686, net0_loss = 0.06653, net0_acc = 0.9883, net0_test_acc = 0.9379,     net1_loss = 0.12085, net1_acc = 0.9792, net1_test_acc = 0.9141
Epoch: [ 61] [550/4000] time: 35620.1687, dice0 = 0.02605, cross0 = 0.0301, kl0 = 0.0017, exclusion0 = 0.0191,     dice1 = 0.04841, cross1 = 0.0498, kl1 = 0.0045, exclusion1 = 0.0408
1.1765721
Epoch: [ 61] [600/4000] time: 35627.5992, net0_loss = 0.20198, net0_acc = 0.9657, net0_test_acc = 0.8890,     net1_loss = 0.06816, net1_acc = 0.9905, net1_test_acc = 0.9026
Epoch: [ 61] [600/4000] time: 35627.5993, dice0 = 0.07527, cross0 = 0.0958, kl0 = 0.0070, exclusion0 = 0.0548,     dice1 = 0.02650, cross1 = 0.0252, kl1 = 0.0035, exclusion1 = 0.0295
1.1650661
Epoch: [ 61] [650/4000] time: 35634.9993, net0_loss = 0.07856, net0_acc = 0.9890, net0_test_acc = 0.9411,     net1_loss = 0.07319, net1_acc = 0.9882, net1_test_acc = 0.9557
Epoch: [ 61] [650/4000] time: 35634.9994, dice0 = 0.03145, cross0 = 0.0259, kl0 = 0.0036, exclusion0 = 0.0389,     dice1 = 0.02769, cross1 = 0.0346, kl1 = 0.0019, exclusion1 = 0.0199
1.2054678
Epoch: [ 61] [700/4000] time: 35642.4688, net0_loss = 0.09940, net0_acc = 0.9835, net0_test_acc = 0.9818,     net1_loss = 0.20420, net1_acc = 0.9659, net1_test_acc = 0.9894
Epoch: [ 61] [700/4000] time: 35642.4689, dice0 = 0.03825, cross0 = 0.0405, kl0 = 0.0042, exclusion0 = 0.0371,     dice1 = 0.07753, cross1 = 0.0905, kl1 = 0.0065, exclusion1 = 0.0658
1.1622603
Epoch: [ 61] [750/4000] time: 35649.8304, net0_loss = 0.16233, net0_acc = 0.9764, net0_test_acc = 0.9668,     net1_loss = 0.08629, net1_acc = 0.9859, net1_test_acc = 0.9598
Epoch: [ 61] [750/4000] time: 35649.8304, dice0 = 0.05941, cross0 = 0.0636, kl0 = 0.0104, exclusion0 = 0.0683,     dice1 = 0.03312, cross1 = 0.0378, kl1 = 0.0029, exclusion1 = 0.0278
1.1140568
Epoch: [ 61] [800/4000] time: 35657.2822, net0_loss = 0.18300, net0_acc = 0.9712, net0_test_acc = 0.9754,     net1_loss = 0.12773, net1_acc = 0.9794, net1_test_acc = 0.9326
Epoch: [ 61] [800/4000] time: 35657.2823, dice0 = 0.06798, cross0 = 0.0740, kl0 = 0.0112, exclusion0 = 0.0708,     dice1 = 0.05203, cross1 = 0.0468, kl1 = 0.0053, exclusion1 = 0.0525
1.161272
Epoch: [ 61] [850/4000] time: 35664.6155, net0_loss = 0.13290, net0_acc = 0.9787, net0_test_acc = 0.8870,     net1_loss = 0.22148, net1_acc = 0.9625, net1_test_acc = 0.9870
Epoch: [ 61] [850/4000] time: 35664.6155, dice0 = 0.04958, cross0 = 0.0525, kl0 = 0.0075, exclusion0 = 0.0542,     dice1 = 0.08407, cross1 = 0.0972, kl1 = 0.0108, exclusion1 = 0.0696
1.1622622
Epoch: [ 61] [900/4000] time: 35672.0902, net0_loss = 0.22623, net0_acc = 0.9658, net0_test_acc = 0.9219,     net1_loss = 0.14335, net1_acc = 0.9735, net1_test_acc = 0.9904
Epoch: [ 61] [900/4000] time: 35672.0902, dice0 = 0.08332, cross0 = 0.0928, kl0 = 0.0130, exclusion0 = 0.0872,     dice1 = 0.05333, cross1 = 0.0767, kl1 = 0.0014, exclusion1 = 0.0253
1.1816095
Epoch: [ 61] [950/4000] time: 35679.5103, net0_loss = 0.04688, net0_acc = 0.9932, net0_test_acc = 0.9125,     net1_loss = 0.11104, net1_acc = 0.9833, net1_test_acc = 0.9128
Epoch: [ 61] [950/4000] time: 35679.5104, dice0 = 0.01861, cross0 = 0.0167, kl0 = 0.0020, exclusion0 = 0.0210,     dice1 = 0.03767, cross1 = 0.0517, kl1 = 0.0077, exclusion1 = 0.0357
1.2486185
Epoch: [ 61] [1000/4000] time: 35686.9457, net0_loss = 0.12003, net0_acc = 0.9820, net0_test_acc = 0.9645,     net1_loss = 0.25701, net1_acc = 0.9593, net1_test_acc = 0.9614
Epoch: [ 61] [1000/4000] time: 35686.9458, dice0 = 0.04355, cross0 = 0.0552, kl0 = 0.0051, exclusion0 = 0.0375,     dice1 = 0.08758, cross1 = 0.1192, kl1 = 0.0222, exclusion1 = 0.0783
1.2658169
Epoch: [ 61] [1050/4000] time: 35694.3324, net0_loss = 0.25288, net0_acc = 0.9568, net0_test_acc = 0.7371,     net1_loss = 0.11386, net1_acc = 0.9809, net1_test_acc = 0.8897
Epoch: [ 61] [1050/4000] time: 35694.3324, dice0 = 0.09115, cross0 = 0.1218, kl0 = 0.0125, exclusion0 = 0.0674,     dice1 = 0.04110, cross1 = 0.0572, kl1 = 0.0026, exclusion1 = 0.0286
1.2078493
Epoch: [ 61] [1100/4000] time: 35701.7241, net0_loss = 0.19412, net0_acc = 0.9688, net0_test_acc = 0.8358,     net1_loss = 0.14100, net1_acc = 0.9770, net1_test_acc = 0.8487
Epoch: [ 61] [1100/4000] time: 35701.7242, dice0 = 0.07125, cross0 = 0.0740, kl0 = 0.0180, exclusion0 = 0.0797,     dice1 = 0.05300, cross1 = 0.0543, kl1 = 0.0102, exclusion1 = 0.0571
1.1475679
Epoch: [ 61] [1150/4000] time: 35709.1625, net0_loss = 0.07469, net0_acc = 0.9889, net0_test_acc = 0.9843,     net1_loss = 0.11557, net1_acc = 0.9828, net1_test_acc = 0.9715
Epoch: [ 61] [1150/4000] time: 35709.1625, dice0 = 0.03019, cross0 = 0.0266, kl0 = 0.0035, exclusion0 = 0.0324,     dice1 = 0.04612, cross1 = 0.0423, kl1 = 0.0063, exclusion1 = 0.0480
1.1318285
Epoch: [ 61] [1200/4000] time: 35716.5418, net0_loss = 0.17587, net0_acc = 0.9709, net0_test_acc = 0.9309,     net1_loss = 0.14764, net1_acc = 0.9745, net1_test_acc = 0.9477
Epoch: [ 61] [1200/4000] time: 35716.5419, dice0 = 0.06256, cross0 = 0.0764, kl0 = 0.0130, exclusion0 = 0.0608,     dice1 = 0.05397, cross1 = 0.0686, kl1 = 0.0068, exclusion1 = 0.0434
1.2105225
Epoch: [ 61] [1250/4000] time: 35723.9666, net0_loss = 0.27699, net0_acc = 0.9538, net0_test_acc = 0.9557,     net1_loss = 0.06284, net1_acc = 0.9909, net1_test_acc = 0.9685
Epoch: [ 61] [1250/4000] time: 35723.9667, dice0 = 0.10607, cross0 = 0.1104, kl0 = 0.0166, exclusion0 = 0.1045,     dice1 = 0.02543, cross1 = 0.0218, kl1 = 0.0024, exclusion1 = 0.0288
1.2403057
Epoch: [ 61] [1300/4000] time: 35731.3623, net0_loss = 0.03738, net0_acc = 0.9946, net0_test_acc = 0.9061,     net1_loss = 0.34421, net1_acc = 0.9427, net1_test_acc = 0.9778
Epoch: [ 61] [1300/4000] time: 35731.3624, dice0 = 0.01459, cross0 = 0.0138, kl0 = 0.0016, exclusion0 = 0.0164,     dice1 = 0.11487, cross1 = 0.1867, kl1 = 0.0121, exclusion1 = 0.0732
1.2044625
Epoch: [ 61] [1350/4000] time: 35738.7887, net0_loss = 0.11583, net0_acc = 0.9803, net0_test_acc = 0.9519,     net1_loss = 0.10683, net1_acc = 0.9824, net1_test_acc = 0.9349
Epoch: [ 61] [1350/4000] time: 35738.7888, dice0 = 0.04469, cross0 = 0.0489, kl0 = 0.0051, exclusion0 = 0.0393,     dice1 = 0.04077, cross1 = 0.0434, kl1 = 0.0062, exclusion1 = 0.0391
1.1622876
Epoch: [ 61] [1400/4000] time: 35746.2222, net0_loss = 0.16998, net0_acc = 0.9703, net0_test_acc = 0.9491,     net1_loss = 0.26410, net1_acc = 0.9567, net1_test_acc = 0.9226
Epoch: [ 61] [1400/4000] time: 35746.2222, dice0 = 0.06540, cross0 = 0.0752, kl0 = 0.0065, exclusion0 = 0.0524,     dice1 = 0.08982, cross1 = 0.1376, kl1 = 0.0104, exclusion1 = 0.0629
1.2259924
Epoch: [ 61] [1450/4000] time: 35753.6638, net0_loss = 0.33587, net0_acc = 0.9466, net0_test_acc = 0.9717,     net1_loss = 0.13309, net1_acc = 0.9789, net1_test_acc = 0.9286
Epoch: [ 61] [1450/4000] time: 35753.6639, dice0 = 0.12013, cross0 = 0.1275, kl0 = 0.0336, exclusion0 = 0.1429,     dice1 = 0.05112, cross1 = 0.0530, kl1 = 0.0077, exclusion1 = 0.0503
1.1650181
Epoch: [ 61] [1500/4000] time: 35761.0405, net0_loss = 0.12761, net0_acc = 0.9790, net0_test_acc = 0.7750,     net1_loss = 0.16911, net1_acc = 0.9714, net1_test_acc = 0.9445
Epoch: [ 61] [1500/4000] time: 35761.0406, dice0 = 0.04901, cross0 = 0.0481, kl0 = 0.0090, exclusion0 = 0.0519,     dice1 = 0.06207, cross1 = 0.0787, kl1 = 0.0060, exclusion1 = 0.0507
1.0753982
Epoch: [ 61] [1550/4000] time: 35768.4394, net0_loss = 0.10840, net0_acc = 0.9823, net0_test_acc = 0.8925,     net1_loss = 0.14254, net1_acc = 0.9744, net1_test_acc = 0.8237
Epoch: [ 61] [1550/4000] time: 35768.4395, dice0 = 0.04291, cross0 = 0.0431, kl0 = 0.0046, exclusion0 = 0.0402,     dice1 = 0.05359, cross1 = 0.0735, kl1 = 0.0015, exclusion1 = 0.0294
1.311055
Epoch: [ 61] [1600/4000] time: 35775.7892, net0_loss = 0.09615, net0_acc = 0.9852, net0_test_acc = 0.8902,     net1_loss = 0.13875, net1_acc = 0.9776, net1_test_acc = 0.9614
Epoch: [ 61] [1600/4000] time: 35775.7892, dice0 = 0.03693, cross0 = 0.0403, kl0 = 0.0034, exclusion0 = 0.0344,     dice1 = 0.05323, cross1 = 0.0597, kl1 = 0.0054, exclusion1 = 0.0462
1.0909511
Epoch: [ 61] [1650/4000] time: 35783.2697, net0_loss = 0.11466, net0_acc = 0.9818, net0_test_acc = 0.9232,     net1_loss = 0.18662, net1_acc = 0.9689, net1_test_acc = 0.9776
Epoch: [ 61] [1650/4000] time: 35783.2698, dice0 = 0.04351, cross0 = 0.0473, kl0 = 0.0049, exclusion0 = 0.0428,     dice1 = 0.07106, cross1 = 0.0736, kl1 = 0.0113, exclusion1 = 0.0727
1.0816989
Epoch: [ 61] [1700/4000] time: 35790.5993, net0_loss = 0.09578, net0_acc = 0.9850, net0_test_acc = 0.9088,     net1_loss = 0.09515, net1_acc = 0.9834, net1_test_acc = 0.9249
Epoch: [ 61] [1700/4000] time: 35790.5994, dice0 = 0.03857, cross0 = 0.0366, kl0 = 0.0029, exclusion0 = 0.0382,     dice1 = 0.03701, cross1 = 0.0440, kl1 = 0.0020, exclusion1 = 0.0262
1.1763531
Epoch: [ 61] [1750/4000] time: 35798.1136, net0_loss = 0.04381, net0_acc = 0.9946, net0_test_acc = 0.9550,     net1_loss = 0.46384, net1_acc = 0.9212, net1_test_acc = 0.8915
Epoch: [ 61] [1750/4000] time: 35798.1137, dice0 = 0.01670, cross0 = 0.0146, kl0 = 0.0031, exclusion0 = 0.0220,     dice1 = 0.15351, cross1 = 0.1998, kl1 = 0.0517, exclusion1 = 0.1693
1.1644574
Epoch: [ 61] [1800/4000] time: 35805.5230, net0_loss = 0.20138, net0_acc = 0.9672, net0_test_acc = 0.7560,     net1_loss = 0.15109, net1_acc = 0.9735, net1_test_acc = 0.8370
Epoch: [ 61] [1800/4000] time: 35805.5231, dice0 = 0.07559, cross0 = 0.0875, kl0 = 0.0084, exclusion0 = 0.0682,     dice1 = 0.05879, cross1 = 0.0681, kl1 = 0.0040, exclusion1 = 0.0444
1.0982504
Epoch: [ 61] [1850/4000] time: 35812.8996, net0_loss = 0.06552, net0_acc = 0.9923, net0_test_acc = 0.8016,     net1_loss = 0.03546, net1_acc = 0.9961, net1_test_acc = 0.8138
Epoch: [ 61] [1850/4000] time: 35812.8997, dice0 = 0.02376, cross0 = 0.0204, kl0 = 0.0081, exclusion0 = 0.0346,     dice1 = 0.01464, cross1 = 0.0108, kl1 = 0.0018, exclusion1 = 0.0181
1.2628628
Epoch: [ 61] [1900/4000] time: 35820.3094, net0_loss = 0.08377, net0_acc = 0.9852, net0_test_acc = 0.9740,     net1_loss = 0.07127, net1_acc = 0.9892, net1_test_acc = 0.9490
Epoch: [ 61] [1900/4000] time: 35820.3095, dice0 = 0.03214, cross0 = 0.0401, kl0 = 0.0016, exclusion0 = 0.0215,     dice1 = 0.02857, cross1 = 0.0267, kl1 = 0.0032, exclusion1 = 0.0288
1.1843668
Epoch: [ 61] [1950/4000] time: 35827.7069, net0_loss = 0.11375, net0_acc = 0.9817, net0_test_acc = 0.9891,     net1_loss = 0.30396, net1_acc = 0.9535, net1_test_acc = 0.9456
Epoch: [ 61] [1950/4000] time: 35827.7070, dice0 = 0.04290, cross0 = 0.0500, kl0 = 0.0035, exclusion0 = 0.0381,     dice1 = 0.09294, cross1 = 0.1870, kl1 = 0.0055, exclusion1 = 0.0426
1.2695303
Epoch: [ 61] [2000/4000] time: 35835.1036, net0_loss = 0.17137, net0_acc = 0.9697, net0_test_acc = 0.9489,     net1_loss = 0.13893, net1_acc = 0.9752, net1_test_acc = 0.8490
Epoch: [ 61] [2000/4000] time: 35835.1036, dice0 = 0.06469, cross0 = 0.0805, kl0 = 0.0051, exclusion0 = 0.0473,     dice1 = 0.05177, cross1 = 0.0694, kl1 = 0.0029, exclusion1 = 0.0326
1.1490105
Epoch: [ 61] [2050/4000] time: 35842.5606, net0_loss = 0.43935, net0_acc = 0.9280, net0_test_acc = 0.9809,     net1_loss = 0.06689, net1_acc = 0.9893, net1_test_acc = 0.9108
Epoch: [ 61] [2050/4000] time: 35842.5607, dice0 = 0.15367, cross0 = 0.2036, kl0 = 0.0260, exclusion0 = 0.1382,     dice1 = 0.02685, cross1 = 0.0263, kl1 = 0.0023, exclusion1 = 0.0253
1.1419063
Epoch: [ 61] [2100/4000] time: 35849.9438, net0_loss = 0.04820, net0_acc = 0.9943, net0_test_acc = 0.9680,     net1_loss = 0.16772, net1_acc = 0.9712, net1_test_acc = 0.9621
Epoch: [ 61] [2100/4000] time: 35849.9438, dice0 = 0.01989, cross0 = 0.0148, kl0 = 0.0016, exclusion0 = 0.0253,     dice1 = 0.06415, cross1 = 0.0742, kl1 = 0.0059, exclusion1 = 0.0529
1.0712935
Epoch: [ 61] [2150/4000] time: 35857.3711, net0_loss = 0.15901, net0_acc = 0.9729, net0_test_acc = 0.9426,     net1_loss = 0.15779, net1_acc = 0.9754, net1_test_acc = 0.9778
Epoch: [ 61] [2150/4000] time: 35857.3712, dice0 = 0.05989, cross0 = 0.0751, kl0 = 0.0041, exclusion0 = 0.0441,     dice1 = 0.05917, cross1 = 0.0698, kl1 = 0.0076, exclusion1 = 0.0501
1.134182
Epoch: [ 61] [2200/4000] time: 35864.7036, net0_loss = 0.15257, net0_acc = 0.9767, net0_test_acc = 0.8556,     net1_loss = 0.08240, net1_acc = 0.9872, net1_test_acc = 0.9535
Epoch: [ 61] [2200/4000] time: 35864.7037, dice0 = 0.05455, cross0 = 0.0752, kl0 = 0.0034, exclusion0 = 0.0422,     dice1 = 0.03244, cross1 = 0.0314, kl1 = 0.0047, exclusion1 = 0.0325
1.0895967
Epoch: [ 61] [2250/4000] time: 35872.1891, net0_loss = 0.11341, net0_acc = 0.9816, net0_test_acc = 0.9067,     net1_loss = 0.21524, net1_acc = 0.9649, net1_test_acc = 0.9663
Epoch: [ 61] [2250/4000] time: 35872.1891, dice0 = 0.04576, cross0 = 0.0420, kl0 = 0.0049, exclusion0 = 0.0465,     dice1 = 0.07274, cross1 = 0.0932, kl1 = 0.0215, exclusion1 = 0.0771
1.1594819
Epoch: [ 61] [2300/4000] time: 35879.6362, net0_loss = 0.07869, net0_acc = 0.9880, net0_test_acc = 0.9626,     net1_loss = 0.17635, net1_acc = 0.9735, net1_test_acc = 0.9600
Epoch: [ 61] [2300/4000] time: 35879.6363, dice0 = 0.03068, cross0 = 0.0302, kl0 = 0.0035, exclusion0 = 0.0321,     dice1 = 0.06230, cross1 = 0.0713, kl1 = 0.0141, exclusion1 = 0.0714
1.0892135
Epoch: [ 61] [2350/4000] time: 35887.0336, net0_loss = 0.12840, net0_acc = 0.9782, net0_test_acc = 0.9068,     net1_loss = 0.30404, net1_acc = 0.9522, net1_test_acc = 0.9722
Epoch: [ 61] [2350/4000] time: 35887.0337, dice0 = 0.04722, cross0 = 0.0611, kl0 = 0.0047, exclusion0 = 0.0354,     dice1 = 0.09747, cross1 = 0.1488, kl1 = 0.0249, exclusion1 = 0.0907
1.0751908
Epoch: [ 61] [2400/4000] time: 35894.4481, net0_loss = 0.07643, net0_acc = 0.9879, net0_test_acc = 0.9819,     net1_loss = 0.34616, net1_acc = 0.9415, net1_test_acc = 0.9555
Epoch: [ 61] [2400/4000] time: 35894.4482, dice0 = 0.02607, cross0 = 0.0318, kl0 = 0.0071, exclusion0 = 0.0300,     dice1 = 0.12193, cross1 = 0.1523, kl1 = 0.0283, exclusion1 = 0.1157
1.1407744
Epoch: [ 61] [2450/4000] time: 35901.8621, net0_loss = 0.25473, net0_acc = 0.9619, net0_test_acc = 0.7345,     net1_loss = 0.06183, net1_acc = 0.9909, net1_test_acc = 0.9217
Epoch: [ 61] [2450/4000] time: 35901.8622, dice0 = 0.08628, cross0 = 0.1060, kl0 = 0.0237, exclusion0 = 0.1012,     dice1 = 0.02394, cross1 = 0.0249, kl1 = 0.0033, exclusion1 = 0.0228
1.257979
Epoch: [ 61] [2500/4000] time: 35909.2700, net0_loss = 0.06560, net0_acc = 0.9912, net0_test_acc = 0.9325,     net1_loss = 0.30525, net1_acc = 0.9500, net1_test_acc = 0.9445
Epoch: [ 61] [2500/4000] time: 35909.2701, dice0 = 0.02543, cross0 = 0.0207, kl0 = 0.0047, exclusion0 = 0.0342,     dice1 = 0.10404, cross1 = 0.1465, kl1 = 0.0193, exclusion1 = 0.0901
1.1225241
Epoch: [ 61] [2550/4000] time: 35916.6447, net0_loss = 0.23631, net0_acc = 0.9611, net0_test_acc = 0.9345,     net1_loss = 0.17033, net1_acc = 0.9755, net1_test_acc = 0.9458
Epoch: [ 61] [2550/4000] time: 35916.6448, dice0 = 0.08859, cross0 = 0.0946, kl0 = 0.0185, exclusion0 = 0.0878,     dice1 = 0.06615, cross1 = 0.0576, kl1 = 0.0156, exclusion1 = 0.0776
1.1724495
Epoch: [ 61] [2600/4000] time: 35924.0325, net0_loss = 0.05089, net0_acc = 0.9920, net0_test_acc = 0.9417,     net1_loss = 0.12812, net1_acc = 0.9811, net1_test_acc = 0.9282
Epoch: [ 61] [2600/4000] time: 35924.0326, dice0 = 0.02035, cross0 = 0.0199, kl0 = 0.0017, exclusion0 = 0.0195,     dice1 = 0.05106, cross1 = 0.0454, kl1 = 0.0062, exclusion1 = 0.0572
1.145026
Epoch: [ 61] [2650/4000] time: 35931.4997, net0_loss = 0.06649, net0_acc = 0.9893, net0_test_acc = 0.8119,     net1_loss = 0.08888, net1_acc = 0.9855, net1_test_acc = 0.9220
Epoch: [ 61] [2650/4000] time: 35931.4998, dice0 = 0.02542, cross0 = 0.0299, kl0 = 0.0018, exclusion0 = 0.0205,     dice1 = 0.03612, cross1 = 0.0347, kl1 = 0.0036, exclusion1 = 0.0325
1.2508777
Epoch: [ 61] [2700/4000] time: 35938.9040, net0_loss = 0.19773, net0_acc = 0.9685, net0_test_acc = 0.9223,     net1_loss = 0.14760, net1_acc = 0.9737, net1_test_acc = 0.9289
Epoch: [ 61] [2700/4000] time: 35938.9041, dice0 = 0.06605, cross0 = 0.1088, kl0 = 0.0055, exclusion0 = 0.0402,     dice1 = 0.05658, cross1 = 0.0633, kl1 = 0.0062, exclusion1 = 0.0492
1.099345
Epoch: [ 61] [2750/4000] time: 35946.3232, net0_loss = 0.19897, net0_acc = 0.9669, net0_test_acc = 0.9468,     net1_loss = 0.14793, net1_acc = 0.9746, net1_test_acc = 0.9388
Epoch: [ 61] [2750/4000] time: 35946.3233, dice0 = 0.07694, cross0 = 0.0816, kl0 = 0.0086, exclusion0 = 0.0723,     dice1 = 0.05699, cross1 = 0.0653, kl1 = 0.0051, exclusion1 = 0.0463
1.1762297
Epoch: [ 61] [2800/4000] time: 35953.7288, net0_loss = 0.08235, net0_acc = 0.9870, net0_test_acc = 0.8144,     net1_loss = 0.05683, net1_acc = 0.9908, net1_test_acc = 0.9324
Epoch: [ 61] [2800/4000] time: 35953.7288, dice0 = 0.03366, cross0 = 0.0302, kl0 = 0.0030, exclusion0 = 0.0339,     dice1 = 0.02258, cross1 = 0.0231, kl1 = 0.0017, exclusion1 = 0.0206
1.1761549
Epoch: [ 61] [2850/4000] time: 35961.1532, net0_loss = 0.12643, net0_acc = 0.9800, net0_test_acc = 0.9632,     net1_loss = 0.12476, net1_acc = 0.9776, net1_test_acc = 0.9559
Epoch: [ 61] [2850/4000] time: 35961.1533, dice0 = 0.04632, cross0 = 0.0612, kl0 = 0.0028, exclusion0 = 0.0350,     dice1 = 0.04781, cross1 = 0.0581, kl1 = 0.0031, exclusion1 = 0.0346
1.1407992
Epoch: [ 61] [2900/4000] time: 35968.5583, net0_loss = 0.17388, net0_acc = 0.9745, net0_test_acc = 0.9460,     net1_loss = 0.12340, net1_acc = 0.9793, net1_test_acc = 0.9910
Epoch: [ 61] [2900/4000] time: 35968.5583, dice0 = 0.06800, cross0 = 0.0633, kl0 = 0.0088, exclusion0 = 0.0763,     dice1 = 0.04700, cross1 = 0.0577, kl1 = 0.0031, exclusion1 = 0.0343
1.1896358
Epoch: [ 61] [2950/4000] time: 35975.9237, net0_loss = 0.13070, net0_acc = 0.9798, net0_test_acc = 0.9607,     net1_loss = 0.11989, net1_acc = 0.9804, net1_test_acc = 0.9062
Epoch: [ 61] [2950/4000] time: 35975.9237, dice0 = 0.05028, cross0 = 0.0467, kl0 = 0.0098, exclusion0 = 0.0577,     dice1 = 0.04362, cross1 = 0.0555, kl1 = 0.0056, exclusion1 = 0.0360
1.2157123
Epoch: [ 61] [3000/4000] time: 35983.3763, net0_loss = 0.04460, net0_acc = 0.9932, net0_test_acc = 0.8703,     net1_loss = 0.07361, net1_acc = 0.9895, net1_test_acc = 0.9180
Epoch: [ 61] [3000/4000] time: 35983.3764, dice0 = 0.01753, cross0 = 0.0169, kl0 = 0.0019, exclusion0 = 0.0184,     dice1 = 0.02664, cross1 = 0.0357, kl1 = 0.0020, exclusion1 = 0.0205
1.2173173
Epoch: [ 61] [3050/4000] time: 35990.6588, net0_loss = 0.03085, net0_acc = 0.9954, net0_test_acc = 0.8394,     net1_loss = 0.08132, net1_acc = 0.9860, net1_test_acc = 0.9655
Epoch: [ 61] [3050/4000] time: 35990.6588, dice0 = 0.01187, cross0 = 0.0127, kl0 = 0.0008, exclusion0 = 0.0118,     dice1 = 0.03271, cross1 = 0.0336, kl1 = 0.0018, exclusion1 = 0.0283
1.1703598
Epoch: [ 61] [3100/4000] time: 35997.9212, net0_loss = 0.14194, net0_acc = 0.9741, net0_test_acc = 0.9823,     net1_loss = 0.11179, net1_acc = 0.9812, net1_test_acc = 0.8945
Epoch: [ 61] [3100/4000] time: 35997.9213, dice0 = 0.05409, cross0 = 0.0614, kl0 = 0.0078, exclusion0 = 0.0451,     dice1 = 0.04244, cross1 = 0.0517, kl1 = 0.0027, exclusion1 = 0.0325
1.141421
Epoch: [ 61] [3150/4000] time: 36005.5424, net0_loss = 0.12723, net0_acc = 0.9798, net0_test_acc = 0.9260,     net1_loss = 0.05239, net1_acc = 0.9937, net1_test_acc = 0.9660
Epoch: [ 61] [3150/4000] time: 36005.5425, dice0 = 0.04950, cross0 = 0.0488, kl0 = 0.0068, exclusion0 = 0.0510,     dice1 = 0.02089, cross1 = 0.0166, kl1 = 0.0025, exclusion1 = 0.0274
1.2347137
Epoch: [ 61] [3200/4000] time: 36012.9728, net0_loss = 0.13225, net0_acc = 0.9776, net0_test_acc = 0.8786,     net1_loss = 0.15384, net1_acc = 0.9749, net1_test_acc = 0.9198
Epoch: [ 61] [3200/4000] time: 36012.9729, dice0 = 0.04757, cross0 = 0.0707, kl0 = 0.0019, exclusion0 = 0.0260,     dice1 = 0.05892, cross1 = 0.0653, kl1 = 0.0058, exclusion1 = 0.0534
1.1953166
Epoch: [ 61] [3250/4000] time: 36020.3891, net0_loss = 0.09363, net0_acc = 0.9850, net0_test_acc = 0.9589,     net1_loss = 0.06460, net1_acc = 0.9919, net1_test_acc = 0.8943
Epoch: [ 61] [3250/4000] time: 36020.3892, dice0 = 0.03728, cross0 = 0.0350, kl0 = 0.0042, exclusion0 = 0.0385,     dice1 = 0.02131, cross1 = 0.0314, kl1 = 0.0021, exclusion1 = 0.0217
1.2070563
Epoch: [ 61] [3300/4000] time: 36027.8001, net0_loss = 0.08616, net0_acc = 0.9856, net0_test_acc = 0.9724,     net1_loss = 0.05565, net1_acc = 0.9924, net1_test_acc = 0.9484
Epoch: [ 61] [3300/4000] time: 36027.8002, dice0 = 0.03392, cross0 = 0.0329, kl0 = 0.0058, exclusion0 = 0.0330,     dice1 = 0.02273, cross1 = 0.0183, kl1 = 0.0020, exclusion1 = 0.0272
1.1350862
Epoch: [ 61] [3350/4000] time: 36035.1934, net0_loss = 0.20391, net0_acc = 0.9662, net0_test_acc = 0.9384,     net1_loss = 0.05932, net1_acc = 0.9916, net1_test_acc = 0.9501
Epoch: [ 61] [3350/4000] time: 36035.1935, dice0 = 0.07580, cross0 = 0.0867, kl0 = 0.0106, exclusion0 = 0.0723,     dice1 = 0.02437, cross1 = 0.0200, kl1 = 0.0019, exclusion1 = 0.0280
1.1852037
Epoch: [ 61] [3400/4000] time: 36042.6208, net0_loss = 0.09004, net0_acc = 0.9864, net0_test_acc = 0.9367,     net1_loss = 0.17341, net1_acc = 0.9718, net1_test_acc = 0.7797
Epoch: [ 61] [3400/4000] time: 36042.6209, dice0 = 0.03474, cross0 = 0.0354, kl0 = 0.0054, exclusion0 = 0.0344,     dice1 = 0.06592, cross1 = 0.0771, kl1 = 0.0056, exclusion1 = 0.0552
1.1354614
Epoch: [ 61] [3450/4000] time: 36050.0517, net0_loss = 0.14887, net0_acc = 0.9743, net0_test_acc = 0.8440,     net1_loss = 0.18160, net1_acc = 0.9725, net1_test_acc = 0.9009
Epoch: [ 61] [3450/4000] time: 36050.0517, dice0 = 0.05794, cross0 = 0.0663, kl0 = 0.0048, exclusion0 = 0.0444,     dice1 = 0.06751, cross1 = 0.0702, kl1 = 0.0131, exclusion1 = 0.0747
1.1359314
Epoch: [ 61] [3500/4000] time: 36057.4425, net0_loss = 0.16454, net0_acc = 0.9730, net0_test_acc = 0.9111,     net1_loss = 0.12288, net1_acc = 0.9807, net1_test_acc = 0.8066
Epoch: [ 61] [3500/4000] time: 36057.4426, dice0 = 0.06095, cross0 = 0.0706, kl0 = 0.0087, exclusion0 = 0.0574,     dice1 = 0.04987, cross1 = 0.0440, kl1 = 0.0054, exclusion1 = 0.0527
1.1886215
Epoch: [ 61] [3550/4000] time: 36064.8528, net0_loss = 0.34285, net0_acc = 0.9397, net0_test_acc = 0.9395,     net1_loss = 0.05912, net1_acc = 0.9899, net1_test_acc = 0.9393
Epoch: [ 61] [3550/4000] time: 36064.8528, dice0 = 0.12790, cross0 = 0.1580, kl0 = 0.0131, exclusion0 = 0.1008,     dice1 = 0.02278, cross1 = 0.0281, kl1 = 0.0015, exclusion1 = 0.0151
1.166937
Epoch: [ 61] [3600/4000] time: 36072.2383, net0_loss = 0.05049, net0_acc = 0.9917, net0_test_acc = 0.9121,     net1_loss = 0.16155, net1_acc = 0.9737, net1_test_acc = 0.9336
Epoch: [ 61] [3600/4000] time: 36072.2384, dice0 = 0.02039, cross0 = 0.0192, kl0 = 0.0015, exclusion0 = 0.0203,     dice1 = 0.05802, cross1 = 0.0653, kl1 = 0.0170, exclusion1 = 0.0595
1.1142783
Epoch: [ 61] [3650/4000] time: 36079.6470, net0_loss = 0.11221, net0_acc = 0.9816, net0_test_acc = 0.9734,     net1_loss = 0.06423, net1_acc = 0.9899, net1_test_acc = 0.9225
Epoch: [ 61] [3650/4000] time: 36079.6471, dice0 = 0.04337, cross0 = 0.0453, kl0 = 0.0066, exclusion0 = 0.0404,     dice1 = 0.02432, cross1 = 0.0300, kl1 = 0.0017, exclusion1 = 0.0182
1.1429813
Epoch: [ 61] [3700/4000] time: 36087.0795, net0_loss = 0.21155, net0_acc = 0.9668, net0_test_acc = 0.9063,     net1_loss = 0.17816, net1_acc = 0.9700, net1_test_acc = 0.8744
Epoch: [ 61] [3700/4000] time: 36087.0796, dice0 = 0.07885, cross0 = 0.0861, kl0 = 0.0131, exclusion0 = 0.0800,     dice1 = 0.06939, cross1 = 0.0787, kl1 = 0.0042, exclusion1 = 0.0560
1.1957002
Epoch: [ 61] [3750/4000] time: 36094.4668, net0_loss = 0.03891, net0_acc = 0.9947, net0_test_acc = 0.9495,     net1_loss = 0.11676, net1_acc = 0.9824, net1_test_acc = 0.9810
Epoch: [ 61] [3750/4000] time: 36094.4669, dice0 = 0.01466, cross0 = 0.0160, kl0 = 0.0014, exclusion0 = 0.0152,     dice1 = 0.04264, cross1 = 0.0426, kl1 = 0.0114, exclusion1 = 0.0516
1.1187078
Epoch: [ 61] [3800/4000] time: 36101.8728, net0_loss = 0.12061, net0_acc = 0.9804, net0_test_acc = 0.8759,     net1_loss = 0.12671, net1_acc = 0.9796, net1_test_acc = 0.8619
Epoch: [ 61] [3800/4000] time: 36101.8729, dice0 = 0.04306, cross0 = 0.0635, kl0 = 0.0022, exclusion0 = 0.0258,     dice1 = 0.04876, cross1 = 0.0586, kl1 = 0.0037, exclusion1 = 0.0351
1.1125386
Epoch: [ 61] [3850/4000] time: 36109.2881, net0_loss = 0.17589, net0_acc = 0.9715, net0_test_acc = 0.9287,     net1_loss = 0.17247, net1_acc = 0.9698, net1_test_acc = 0.9158
Epoch: [ 61] [3850/4000] time: 36109.2882, dice0 = 0.06536, cross0 = 0.0788, kl0 = 0.0075, exclusion0 = 0.0559,     dice1 = 0.06606, cross1 = 0.0748, kl1 = 0.0072, exclusion1 = 0.0559
1.1179956
Epoch: [ 61] [3900/4000] time: 36116.6891, net0_loss = 0.11270, net0_acc = 0.9822, net0_test_acc = 0.9415,     net1_loss = 0.10714, net1_acc = 0.9820, net1_test_acc = 0.9479
Epoch: [ 61] [3900/4000] time: 36116.6891, dice0 = 0.04051, cross0 = 0.0384, kl0 = 0.0115, exclusion0 = 0.0560,     dice1 = 0.03995, cross1 = 0.0492, kl1 = 0.0037, exclusion1 = 0.0323
1.021377
Epoch: [ 61] [3950/4000] time: 36124.0699, net0_loss = 0.05798, net0_acc = 0.9930, net0_test_acc = 0.9311,     net1_loss = 0.25347, net1_acc = 0.9573, net1_test_acc = 0.9892
Epoch: [ 61] [3950/4000] time: 36124.0700, dice0 = 0.01801, cross0 = 0.0311, kl0 = 0.0019, exclusion0 = 0.0159,     dice1 = 0.09395, cross1 = 0.1086, kl1 = 0.0133, exclusion1 = 0.0885
1.1787801
Epoch: [ 62] [  0/4000] time: 36131.4616, net0_loss = 0.30614, net0_acc = 0.9476, net0_test_acc = 0.9480,     net1_loss = 0.12674, net1_acc = 0.9800, net1_test_acc = 0.8010
Epoch: [ 62] [  0/4000] time: 36131.4617, dice0 = 0.11191, cross0 = 0.1510, kl0 = 0.0097, exclusion0 = 0.0768,     dice1 = 0.04710, cross1 = 0.0585, kl1 = 0.0041, exclusion1 = 0.0381
1.1558707
Epoch: [ 62] [ 50/4000] time: 36138.8445, net0_loss = 0.07169, net0_acc = 0.9873, net0_test_acc = 0.8806,     net1_loss = 0.07909, net1_acc = 0.9886, net1_test_acc = 0.9849
Epoch: [ 62] [ 50/4000] time: 36138.8446, dice0 = 0.02908, cross0 = 0.0288, kl0 = 0.0024, exclusion0 = 0.0252,     dice1 = 0.03009, cross1 = 0.0327, kl1 = 0.0030, exclusion1 = 0.0296
1.1934369
Epoch: [ 62] [100/4000] time: 36146.3209, net0_loss = 0.09314, net0_acc = 0.9844, net0_test_acc = 0.9398,     net1_loss = 0.06862, net1_acc = 0.9898, net1_test_acc = 0.9241
Epoch: [ 62] [100/4000] time: 36146.3210, dice0 = 0.03448, cross0 = 0.0407, kl0 = 0.0052, exclusion0 = 0.0308,     dice1 = 0.02838, cross1 = 0.0240, kl1 = 0.0027, exclusion1 = 0.0298
1.1995405
Epoch: [ 62] [150/4000] time: 36153.7040, net0_loss = 0.28137, net0_acc = 0.9549, net0_test_acc = 0.8640,     net1_loss = 0.16869, net1_acc = 0.9734, net1_test_acc = 0.9150
Epoch: [ 62] [150/4000] time: 36153.7041, dice0 = 0.10503, cross0 = 0.1034, kl0 = 0.0254, exclusion0 = 0.1206,     dice1 = 0.05958, cross1 = 0.0763, kl1 = 0.0100, exclusion1 = 0.0556
1.1623682
Epoch: [ 62] [200/4000] time: 36161.1647, net0_loss = 0.17943, net0_acc = 0.9685, net0_test_acc = 0.9169,     net1_loss = 0.07903, net1_acc = 0.9867, net1_test_acc = 0.8383
Epoch: [ 62] [200/4000] time: 36161.1648, dice0 = 0.06807, cross0 = 0.0838, kl0 = 0.0057, exclusion0 = 0.0493,     dice1 = 0.03092, cross1 = 0.0352, kl1 = 0.0018, exclusion1 = 0.0241
1.1370821
Epoch: [ 62] [250/4000] time: 36168.5878, net0_loss = 0.07156, net0_acc = 0.9874, net0_test_acc = 0.9010,     net1_loss = 0.21575, net1_acc = 0.9676, net1_test_acc = 0.9362
Epoch: [ 62] [250/4000] time: 36168.5879, dice0 = 0.02810, cross0 = 0.0315, kl0 = 0.0019, exclusion0 = 0.0220,     dice1 = 0.06529, cross1 = 0.1396, kl1 = 0.0016, exclusion1 = 0.0202
1.1708736
Epoch: [ 62] [300/4000] time: 36175.9904, net0_loss = 0.51045, net0_acc = 0.9200, net0_test_acc = 0.9371,     net1_loss = 0.13897, net1_acc = 0.9774, net1_test_acc = 0.9271
Epoch: [ 62] [300/4000] time: 36175.9905, dice0 = 0.15143, cross0 = 0.2893, kl0 = 0.0328, exclusion0 = 0.1066,     dice1 = 0.05367, cross1 = 0.0530, kl1 = 0.0088, exclusion1 = 0.0558
1.2208402
Epoch: [ 62] [350/4000] time: 36183.3990, net0_loss = 0.11745, net0_acc = 0.9830, net0_test_acc = 0.8946,     net1_loss = 0.10265, net1_acc = 0.9839, net1_test_acc = 0.9187
Epoch: [ 62] [350/4000] time: 36183.3990, dice0 = 0.04628, cross0 = 0.0402, kl0 = 0.0074, exclusion0 = 0.0545,     dice1 = 0.04062, cross1 = 0.0410, kl1 = 0.0034, exclusion1 = 0.0387
1.0759755
Epoch: [ 62] [400/4000] time: 36190.7817, net0_loss = 0.20877, net0_acc = 0.9681, net0_test_acc = 0.9241,     net1_loss = 0.04444, net1_acc = 0.9934, net1_test_acc = 0.9642
Epoch: [ 62] [400/4000] time: 36190.7817, dice0 = 0.07197, cross0 = 0.0885, kl0 = 0.0183, exclusion0 = 0.0783,     dice1 = 0.01732, cross1 = 0.0168, kl1 = 0.0022, exclusion1 = 0.0185
1.1480557
Epoch: [ 62] [450/4000] time: 36198.2334, net0_loss = 0.28635, net0_acc = 0.9545, net0_test_acc = 0.9810,     net1_loss = 0.24089, net1_acc = 0.9640, net1_test_acc = 0.9886
Epoch: [ 62] [450/4000] time: 36198.2334, dice0 = 0.10975, cross0 = 0.1125, kl0 = 0.0142, exclusion0 = 0.1141,     dice1 = 0.08201, cross1 = 0.0961, kl1 = 0.0237, exclusion1 = 0.1018
1.1977073
Epoch: [ 62] [500/4000] time: 36205.6513, net0_loss = 0.15061, net0_acc = 0.9750, net0_test_acc = 0.9672,     net1_loss = 0.04907, net1_acc = 0.9925, net1_test_acc = 0.9551
Epoch: [ 62] [500/4000] time: 36205.6514, dice0 = 0.05546, cross0 = 0.0720, kl0 = 0.0059, exclusion0 = 0.0405,     dice1 = 0.01841, cross1 = 0.0199, kl1 = 0.0029, exclusion1 = 0.0187
1.2035103
Epoch: [ 62] [550/4000] time: 36212.9639, net0_loss = 0.16500, net0_acc = 0.9757, net0_test_acc = 0.9755,     net1_loss = 0.12008, net1_acc = 0.9799, net1_test_acc = 0.9138
Epoch: [ 62] [550/4000] time: 36212.9640, dice0 = 0.06438, cross0 = 0.0584, kl0 = 0.0113, exclusion0 = 0.0731,     dice1 = 0.04708, cross1 = 0.0508, kl1 = 0.0036, exclusion1 = 0.0408
1.1667045
Epoch: [ 62] [600/4000] time: 36220.4560, net0_loss = 0.16090, net0_acc = 0.9712, net0_test_acc = 0.8787,     net1_loss = 0.22734, net1_acc = 0.9632, net1_test_acc = 0.9886
Epoch: [ 62] [600/4000] time: 36220.4561, dice0 = 0.05992, cross0 = 0.0790, kl0 = 0.0045, exclusion0 = 0.0394,     dice1 = 0.07692, cross1 = 0.0997, kl1 = 0.0250, exclusion1 = 0.0764
1.2271433
Epoch: [ 62] [650/4000] time: 36227.8410, net0_loss = 0.07601, net0_acc = 0.9875, net0_test_acc = 0.9232,     net1_loss = 0.23427, net1_acc = 0.9640, net1_test_acc = 0.9912
Epoch: [ 62] [650/4000] time: 36227.8411, dice0 = 0.02933, cross0 = 0.0332, kl0 = 0.0019, exclusion0 = 0.0251,     dice1 = 0.09045, cross1 = 0.0855, kl1 = 0.0139, exclusion1 = 0.1028
1.1619577
Epoch: [ 62] [700/4000] time: 36235.2661, net0_loss = 0.11802, net0_acc = 0.9811, net0_test_acc = 0.9142,     net1_loss = 0.11598, net1_acc = 0.9822, net1_test_acc = 0.9094
Epoch: [ 62] [700/4000] time: 36235.2662, dice0 = 0.04398, cross0 = 0.0526, kl0 = 0.0055, exclusion0 = 0.0373,     dice1 = 0.04423, cross1 = 0.0443, kl1 = 0.0074, exclusion1 = 0.0474
1.1114657
Epoch: [ 62] [750/4000] time: 36242.6976, net0_loss = 0.10226, net0_acc = 0.9841, net0_test_acc = 0.9586,     net1_loss = 0.14820, net1_acc = 0.9758, net1_test_acc = 0.9592
Epoch: [ 62] [750/4000] time: 36242.6977, dice0 = 0.04119, cross0 = 0.0379, kl0 = 0.0037, exclusion0 = 0.0427,     dice1 = 0.05361, cross1 = 0.0672, kl1 = 0.0092, exclusion1 = 0.0456
1.1742566
Epoch: [ 62] [800/4000] time: 36250.1056, net0_loss = 0.11303, net0_acc = 0.9804, net0_test_acc = 0.7690,     net1_loss = 0.07596, net1_acc = 0.9875, net1_test_acc = 0.8987
Epoch: [ 62] [800/4000] time: 36250.1057, dice0 = 0.04476, cross0 = 0.0460, kl0 = 0.0035, exclusion0 = 0.0410,     dice1 = 0.03194, cross1 = 0.0272, kl1 = 0.0028, exclusion1 = 0.0309
1.2874854
Epoch: [ 62] [850/4000] time: 36257.5134, net0_loss = 0.21056, net0_acc = 0.9650, net0_test_acc = 0.8401,     net1_loss = 0.05296, net1_acc = 0.9918, net1_test_acc = 0.8325
Epoch: [ 62] [850/4000] time: 36257.5135, dice0 = 0.08023, cross0 = 0.0943, kl0 = 0.0059, exclusion0 = 0.0662,     dice1 = 0.02176, cross1 = 0.0192, kl1 = 0.0021, exclusion1 = 0.0220
1.1311468
Epoch: [ 62] [900/4000] time: 36264.9413, net0_loss = 0.06665, net0_acc = 0.9898, net0_test_acc = 0.9852,     net1_loss = 0.26270, net1_acc = 0.9562, net1_test_acc = 0.9713
Epoch: [ 62] [900/4000] time: 36264.9414, dice0 = 0.02646, cross0 = 0.0257, kl0 = 0.0029, exclusion0 = 0.0262,     dice1 = 0.09210, cross1 = 0.1136, kl1 = 0.0268, exclusion1 = 0.0871
1.1243837
Epoch: [ 62] [950/4000] time: 36272.3767, net0_loss = 0.04981, net0_acc = 0.9936, net0_test_acc = 0.9219,     net1_loss = 0.18382, net1_acc = 0.9700, net1_test_acc = 0.9404
Epoch: [ 62] [950/4000] time: 36272.3767, dice0 = 0.01723, cross0 = 0.0210, kl0 = 0.0036, exclusion0 = 0.0196,     dice1 = 0.06767, cross1 = 0.0821, kl1 = 0.0074, exclusion1 = 0.0606
1.1259387
Epoch: [ 62] [1000/4000] time: 36279.7455, net0_loss = 0.19697, net0_acc = 0.9689, net0_test_acc = 0.9567,     net1_loss = 0.05878, net1_acc = 0.9915, net1_test_acc = 0.9646
Epoch: [ 62] [1000/4000] time: 36279.7456, dice0 = 0.07474, cross0 = 0.0753, kl0 = 0.0128, exclusion0 = 0.0811,     dice1 = 0.02321, cross1 = 0.0210, kl1 = 0.0031, exclusion1 = 0.0261
1.1751267
Epoch: [ 62] [1050/4000] time: 36287.1837, net0_loss = 0.11508, net0_acc = 0.9819, net0_test_acc = 0.8961,     net1_loss = 0.05238, net1_acc = 0.9923, net1_test_acc = 0.9781
Epoch: [ 62] [1050/4000] time: 36287.1837, dice0 = 0.04335, cross0 = 0.0458, kl0 = 0.0064, exclusion0 = 0.0454,     dice1 = 0.02104, cross1 = 0.0184, kl1 = 0.0021, exclusion1 = 0.0238
1.1119021
Epoch: [ 62] [1100/4000] time: 36294.5820, net0_loss = 0.20160, net0_acc = 0.9702, net0_test_acc = 0.9531,     net1_loss = 0.21925, net1_acc = 0.9671, net1_test_acc = 0.9290
Epoch: [ 62] [1100/4000] time: 36294.5820, dice0 = 0.06873, cross0 = 0.0803, kl0 = 0.0208, exclusion0 = 0.0844,     dice1 = 0.07864, cross1 = 0.0893, kl1 = 0.0206, exclusion1 = 0.0821
1.2547708
Epoch: [ 62] [1150/4000] time: 36301.9470, net0_loss = 0.13836, net0_acc = 0.9808, net0_test_acc = 0.9318,     net1_loss = 0.25865, net1_acc = 0.9564, net1_test_acc = 0.9266
Epoch: [ 62] [1150/4000] time: 36301.9470, dice0 = 0.05413, cross0 = 0.0506, kl0 = 0.0076, exclusion0 = 0.0596,     dice1 = 0.08668, cross1 = 0.1420, kl1 = 0.0107, exclusion1 = 0.0492
1.2427099
Epoch: [ 62] [1200/4000] time: 36309.2859, net0_loss = 0.08440, net0_acc = 0.9883, net0_test_acc = 0.9730,     net1_loss = 0.18869, net1_acc = 0.9693, net1_test_acc = 0.9380
Epoch: [ 62] [1200/4000] time: 36309.2859, dice0 = 0.03360, cross0 = 0.0299, kl0 = 0.0044, exclusion0 = 0.0374,     dice1 = 0.06927, cross1 = 0.0838, kl1 = 0.0098, exclusion1 = 0.0613
1.2494831
Epoch: [ 62] [1250/4000] time: 36316.7891, net0_loss = 0.17399, net0_acc = 0.9720, net0_test_acc = 0.7261,     net1_loss = 0.14014, net1_acc = 0.9784, net1_test_acc = 0.9463
Epoch: [ 62] [1250/4000] time: 36316.7891, dice0 = 0.06367, cross0 = 0.0786, kl0 = 0.0082, exclusion0 = 0.0552,     dice1 = 0.05030, cross1 = 0.0529, kl1 = 0.0136, exclusion1 = 0.0603
1.2866156
Epoch: [ 62] [1300/4000] time: 36324.1938, net0_loss = 0.28951, net0_acc = 0.9510, net0_test_acc = 0.8875,     net1_loss = 0.09079, net1_acc = 0.9873, net1_test_acc = 0.8141
Epoch: [ 62] [1300/4000] time: 36324.1939, dice0 = 0.10524, cross0 = 0.1273, kl0 = 0.0163, exclusion0 = 0.0976,     dice1 = 0.03650, cross1 = 0.0303, kl1 = 0.0052, exclusion1 = 0.0428
1.079493
Epoch: [ 62] [1350/4000] time: 36331.6181, net0_loss = 0.12960, net0_acc = 0.9758, net0_test_acc = 0.9015,     net1_loss = 0.08515, net1_acc = 0.9867, net1_test_acc = 0.9624
Epoch: [ 62] [1350/4000] time: 36331.6182, dice0 = 0.04997, cross0 = 0.0612, kl0 = 0.0034, exclusion0 = 0.0335,     dice1 = 0.03220, cross1 = 0.0344, kl1 = 0.0052, exclusion1 = 0.0320
1.0936824
Epoch: [ 62] [1400/4000] time: 36338.9893, net0_loss = 0.05115, net0_acc = 0.9930, net0_test_acc = 0.9137,     net1_loss = 0.11865, net1_acc = 0.9818, net1_test_acc = 0.9779
Epoch: [ 62] [1400/4000] time: 36338.9894, dice0 = 0.01984, cross0 = 0.0185, kl0 = 0.0024, exclusion0 = 0.0232,     dice1 = 0.04499, cross1 = 0.0459, kl1 = 0.0082, exclusion1 = 0.0473
1.1031647
Epoch: [ 62] [1450/4000] time: 36346.4251, net0_loss = 0.22356, net0_acc = 0.9647, net0_test_acc = 0.9111,     net1_loss = 0.23037, net1_acc = 0.9579, net1_test_acc = 0.9352
Epoch: [ 62] [1450/4000] time: 36346.4252, dice0 = 0.08052, cross0 = 0.0971, kl0 = 0.0149, exclusion0 = 0.0770,     dice1 = 0.08972, cross1 = 0.0964, kl1 = 0.0087, exclusion1 = 0.0798
1.2152822
Epoch: [ 62] [1500/4000] time: 36353.8855, net0_loss = 0.11954, net0_acc = 0.9807, net0_test_acc = 0.9533,     net1_loss = 0.13802, net1_acc = 0.9761, net1_test_acc = 0.9455
Epoch: [ 62] [1500/4000] time: 36353.8856, dice0 = 0.04415, cross0 = 0.0491, kl0 = 0.0076, exclusion0 = 0.0451,     dice1 = 0.05227, cross1 = 0.0684, kl1 = 0.0027, exclusion1 = 0.0320
1.1440172
Epoch: [ 62] [1550/4000] time: 36361.2366, net0_loss = 0.14769, net0_acc = 0.9795, net0_test_acc = 0.7519,     net1_loss = 0.27715, net1_acc = 0.9590, net1_test_acc = 0.8245
Epoch: [ 62] [1550/4000] time: 36361.2366, dice0 = 0.04736, cross0 = 0.0731, kl0 = 0.0087, exclusion0 = 0.0457,     dice1 = 0.08654, cross1 = 0.1343, kl1 = 0.0262, exclusion1 = 0.0865
1.1690402
Epoch: [ 62] [1600/4000] time: 36368.6356, net0_loss = 0.04485, net0_acc = 0.9929, net0_test_acc = 0.8210,     net1_loss = 0.08142, net1_acc = 0.9871, net1_test_acc = 0.8295
Epoch: [ 62] [1600/4000] time: 36368.6357, dice0 = 0.01829, cross0 = 0.0168, kl0 = 0.0013, exclusion0 = 0.0182,     dice1 = 0.03067, cross1 = 0.0352, kl1 = 0.0040, exclusion1 = 0.0270
1.2169597
Epoch: [ 62] [1650/4000] time: 36376.0926, net0_loss = 0.11553, net0_acc = 0.9819, net0_test_acc = 0.9772,     net1_loss = 0.08876, net1_acc = 0.9865, net1_test_acc = 0.9514
Epoch: [ 62] [1650/4000] time: 36376.0927, dice0 = 0.04603, cross0 = 0.0431, kl0 = 0.0047, exclusion0 = 0.0481,     dice1 = 0.03398, cross1 = 0.0347, kl1 = 0.0053, exclusion1 = 0.0349
1.2295065
Epoch: [ 62] [1700/4000] time: 36383.5042, net0_loss = 0.14487, net0_acc = 0.9758, net0_test_acc = 0.9897,     net1_loss = 0.14383, net1_acc = 0.9740, net1_test_acc = 0.9513
Epoch: [ 62] [1700/4000] time: 36383.5042, dice0 = 0.05432, cross0 = 0.0637, kl0 = 0.0071, exclusion0 = 0.0465,     dice1 = 0.05499, cross1 = 0.0647, kl1 = 0.0055, exclusion1 = 0.0428
1.1421363
Epoch: [ 62] [1750/4000] time: 36390.8706, net0_loss = 0.05123, net0_acc = 0.9928, net0_test_acc = 0.9494,     net1_loss = 0.09162, net1_acc = 0.9855, net1_test_acc = 0.8557
Epoch: [ 62] [1750/4000] time: 36390.8706, dice0 = 0.01779, cross0 = 0.0185, kl0 = 0.0052, exclusion0 = 0.0245,     dice1 = 0.03574, cross1 = 0.0347, kl1 = 0.0043, exclusion1 = 0.0380
1.1356664
Epoch: [ 62] [1800/4000] time: 36398.2643, net0_loss = 0.03048, net0_acc = 0.9963, net0_test_acc = 0.9790,     net1_loss = 0.15235, net1_acc = 0.9730, net1_test_acc = 0.9099
Epoch: [ 62] [1800/4000] time: 36398.2643, dice0 = 0.01250, cross0 = 0.0095, kl0 = 0.0011, exclusion0 = 0.0158,     dice1 = 0.05704, cross1 = 0.0675, kl1 = 0.0079, exclusion1 = 0.0477
1.1529806
Epoch: [ 62] [1850/4000] time: 36405.7122, net0_loss = 0.06413, net0_acc = 0.9911, net0_test_acc = 0.9220,     net1_loss = 0.09457, net1_acc = 0.9870, net1_test_acc = 0.9665
Epoch: [ 62] [1850/4000] time: 36405.7123, dice0 = 0.02596, cross0 = 0.0211, kl0 = 0.0027, exclusion0 = 0.0314,     dice1 = 0.03653, cross1 = 0.0352, kl1 = 0.0051, exclusion1 = 0.0407
1.1230016
Epoch: [ 62] [1900/4000] time: 36413.1407, net0_loss = 0.16390, net0_acc = 0.9741, net0_test_acc = 0.9425,     net1_loss = 0.07172, net1_acc = 0.9892, net1_test_acc = 0.9801
Epoch: [ 62] [1900/4000] time: 36413.1408, dice0 = 0.05790, cross0 = 0.0738, kl0 = 0.0102, exclusion0 = 0.0543,     dice1 = 0.02959, cross1 = 0.0250, kl1 = 0.0029, exclusion1 = 0.0314
1.1258576
Epoch: [ 62] [1950/4000] time: 36420.5649, net0_loss = 0.15646, net0_acc = 0.9733, net0_test_acc = 0.8686,     net1_loss = 0.07969, net1_acc = 0.9874, net1_test_acc = 0.9530
Epoch: [ 62] [1950/4000] time: 36420.5650, dice0 = 0.05929, cross0 = 0.0737, kl0 = 0.0041, exclusion0 = 0.0428,     dice1 = 0.03112, cross1 = 0.0317, kl1 = 0.0031, exclusion1 = 0.0307
1.2309624
Epoch: [ 62] [2000/4000] time: 36427.9838, net0_loss = 0.19150, net0_acc = 0.9662, net0_test_acc = 0.9080,     net1_loss = 0.22322, net1_acc = 0.9637, net1_test_acc = 0.9650
Epoch: [ 62] [2000/4000] time: 36427.9839, dice0 = 0.07373, cross0 = 0.0827, kl0 = 0.0087, exclusion0 = 0.0615,     dice1 = 0.08385, cross1 = 0.0954, kl1 = 0.0102, exclusion1 = 0.0777
1.2360516
Epoch: [ 62] [2050/4000] time: 36435.4108, net0_loss = 0.15243, net0_acc = 0.9772, net0_test_acc = 0.9671,     net1_loss = 0.06284, net1_acc = 0.9896, net1_test_acc = 0.9533
Epoch: [ 62] [2050/4000] time: 36435.4108, dice0 = 0.05852, cross0 = 0.0578, kl0 = 0.0087, exclusion0 = 0.0635,     dice1 = 0.02466, cross1 = 0.0243, kl1 = 0.0027, exclusion1 = 0.0252
1.1228731
Epoch: [ 62] [2100/4000] time: 36442.8013, net0_loss = 0.17579, net0_acc = 0.9708, net0_test_acc = 0.9116,     net1_loss = 0.11319, net1_acc = 0.9805, net1_test_acc = 0.9726
Epoch: [ 62] [2100/4000] time: 36442.8014, dice0 = 0.06654, cross0 = 0.0760, kl0 = 0.0077, exclusion0 = 0.0588,     dice1 = 0.04483, cross1 = 0.0444, kl1 = 0.0051, exclusion1 = 0.0429
1.1776527
Epoch: [ 62] [2150/4000] time: 36450.2174, net0_loss = 0.08064, net0_acc = 0.9868, net0_test_acc = 0.9811,     net1_loss = 0.15581, net1_acc = 0.9726, net1_test_acc = 0.9514
Epoch: [ 62] [2150/4000] time: 36450.2174, dice0 = 0.03046, cross0 = 0.0373, kl0 = 0.0026, exclusion0 = 0.0231,     dice1 = 0.06102, cross1 = 0.0652, kl1 = 0.0055, exclusion1 = 0.0537
1.0948248
Epoch: [ 62] [2200/4000] time: 36457.6663, net0_loss = 0.12868, net0_acc = 0.9792, net0_test_acc = 0.7318,     net1_loss = 0.07011, net1_acc = 0.9896, net1_test_acc = 0.9230
Epoch: [ 62] [2200/4000] time: 36457.6664, dice0 = 0.04837, cross0 = 0.0490, kl0 = 0.0109, exclusion0 = 0.0517,     dice1 = 0.02796, cross1 = 0.0239, kl1 = 0.0044, exclusion1 = 0.0322
1.1558325
Epoch: [ 62] [2250/4000] time: 36465.0716, net0_loss = 0.22563, net0_acc = 0.9642, net0_test_acc = 0.9400,     net1_loss = 0.16725, net1_acc = 0.9751, net1_test_acc = 0.9503
Epoch: [ 62] [2250/4000] time: 36465.0716, dice0 = 0.07336, cross0 = 0.1025, kl0 = 0.0232, exclusion0 = 0.0764,     dice1 = 0.05966, cross1 = 0.0670, kl1 = 0.0156, exclusion1 = 0.0656
1.112207
Epoch: [ 62] [2300/4000] time: 36472.4858, net0_loss = 0.14037, net0_acc = 0.9812, net0_test_acc = 0.9386,     net1_loss = 0.24926, net1_acc = 0.9593, net1_test_acc = 0.9511
Epoch: [ 62] [2300/4000] time: 36472.4858, dice0 = 0.05066, cross0 = 0.0482, kl0 = 0.0135, exclusion0 = 0.0695,     dice1 = 0.08812, cross1 = 0.1229, kl1 = 0.0084, exclusion1 = 0.0681
1.1437142
Epoch: [ 62] [2350/4000] time: 36479.9139, net0_loss = 0.06619, net0_acc = 0.9909, net0_test_acc = 0.9379,     net1_loss = 0.17255, net1_acc = 0.9721, net1_test_acc = 0.9175
Epoch: [ 62] [2350/4000] time: 36479.9140, dice0 = 0.02707, cross0 = 0.0227, kl0 = 0.0026, exclusion0 = 0.0302,     dice1 = 0.06485, cross1 = 0.0700, kl1 = 0.0092, exclusion1 = 0.0661
1.0630834
Epoch: [ 62] [2400/4000] time: 36487.3237, net0_loss = 0.19711, net0_acc = 0.9680, net0_test_acc = 0.8118,     net1_loss = 0.09925, net1_acc = 0.9871, net1_test_acc = 0.9367
Epoch: [ 62] [2400/4000] time: 36487.3238, dice0 = 0.07136, cross0 = 0.0807, kl0 = 0.0140, exclusion0 = 0.0762,     dice1 = 0.03962, cross1 = 0.0325, kl1 = 0.0057, exclusion1 = 0.0486
1.208949
Epoch: [ 62] [2450/4000] time: 36494.7091, net0_loss = 0.12358, net0_acc = 0.9788, net0_test_acc = 0.9111,     net1_loss = 0.07520, net1_acc = 0.9895, net1_test_acc = 0.9121
Epoch: [ 62] [2450/4000] time: 36494.7091, dice0 = 0.04601, cross0 = 0.0608, kl0 = 0.0032, exclusion0 = 0.0304,     dice1 = 0.02732, cross1 = 0.0282, kl1 = 0.0065, exclusion1 = 0.0329
1.2275554
Epoch: [ 62] [2500/4000] time: 36502.1209, net0_loss = 0.12444, net0_acc = 0.9811, net0_test_acc = 0.9642,     net1_loss = 0.17848, net1_acc = 0.9698, net1_test_acc = 0.9371
Epoch: [ 62] [2500/4000] time: 36502.1210, dice0 = 0.04787, cross0 = 0.0536, kl0 = 0.0039, exclusion0 = 0.0421,     dice1 = 0.06547, cross1 = 0.0871, kl1 = 0.0050, exclusion1 = 0.0467
1.147486
Epoch: [ 62] [2550/4000] time: 36509.5183, net0_loss = 0.07368, net0_acc = 0.9894, net0_test_acc = 0.8400,     net1_loss = 0.15759, net1_acc = 0.9745, net1_test_acc = 0.9322
Epoch: [ 62] [2550/4000] time: 36509.5183, dice0 = 0.02865, cross0 = 0.0276, kl0 = 0.0041, exclusion0 = 0.0308,     dice1 = 0.05636, cross1 = 0.0764, kl1 = 0.0072, exclusion1 = 0.0426
1.0895246
Epoch: [ 62] [2600/4000] time: 36516.9328, net0_loss = 0.13596, net0_acc = 0.9780, net0_test_acc = 0.9620,     net1_loss = 0.32483, net1_acc = 0.9471, net1_test_acc = 0.9627
Epoch: [ 62] [2600/4000] time: 36516.9328, dice0 = 0.04878, cross0 = 0.0603, kl0 = 0.0104, exclusion0 = 0.0433,     dice1 = 0.11304, cross1 = 0.1489, kl1 = 0.0207, exclusion1 = 0.1051
1.1203693
Epoch: [ 62] [2650/4000] time: 36524.3733, net0_loss = 0.04545, net0_acc = 0.9931, net0_test_acc = 0.9498,     net1_loss = 0.10668, net1_acc = 0.9844, net1_test_acc = 0.9906
Epoch: [ 62] [2650/4000] time: 36524.3734, dice0 = 0.01803, cross0 = 0.0187, kl0 = 0.0011, exclusion0 = 0.0163,     dice1 = 0.03925, cross1 = 0.0368, kl1 = 0.0110, exclusion1 = 0.0501
1.1016016
Epoch: [ 62] [2700/4000] time: 36531.7797, net0_loss = 0.31566, net0_acc = 0.9501, net0_test_acc = 0.9608,     net1_loss = 0.19347, net1_acc = 0.9667, net1_test_acc = 0.9170
Epoch: [ 62] [2700/4000] time: 36531.7798, dice0 = 0.10625, cross0 = 0.1549, kl0 = 0.0167, exclusion0 = 0.0922,     dice1 = 0.07383, cross1 = 0.0898, kl1 = 0.0043, exclusion1 = 0.0554
1.0435889
Epoch: [ 62] [2750/4000] time: 36539.1967, net0_loss = 0.04919, net0_acc = 0.9925, net0_test_acc = 0.8658,     net1_loss = 0.09027, net1_acc = 0.9861, net1_test_acc = 0.9189
Epoch: [ 62] [2750/4000] time: 36539.1968, dice0 = 0.01835, cross0 = 0.0233, kl0 = 0.0011, exclusion0 = 0.0140,     dice1 = 0.03654, cross1 = 0.0331, kl1 = 0.0026, exclusion1 = 0.0387
1.0929672
Epoch: [ 62] [2800/4000] time: 36546.5368, net0_loss = 0.20820, net0_acc = 0.9675, net0_test_acc = 0.8265,     net1_loss = 0.11595, net1_acc = 0.9823, net1_test_acc = 0.9718
Epoch: [ 62] [2800/4000] time: 36546.5369, dice0 = 0.07562, cross0 = 0.0981, kl0 = 0.0113, exclusion0 = 0.0575,     dice1 = 0.04118, cross1 = 0.0593, kl1 = 0.0019, exclusion1 = 0.0289
1.1126761
Epoch: [ 62] [2850/4000] time: 36554.0298, net0_loss = 0.21026, net0_acc = 0.9669, net0_test_acc = 0.9814,     net1_loss = 0.15472, net1_acc = 0.9745, net1_test_acc = 0.9075
Epoch: [ 62] [2850/4000] time: 36554.0299, dice0 = 0.07205, cross0 = 0.1027, kl0 = 0.0112, exclusion0 = 0.0598,     dice1 = 0.05429, cross1 = 0.0815, kl1 = 0.0041, exclusion1 = 0.0337
1.1282243
Epoch: [ 62] [2900/4000] time: 36561.4024, net0_loss = 0.14832, net0_acc = 0.9737, net0_test_acc = 0.9384,     net1_loss = 0.18938, net1_acc = 0.9699, net1_test_acc = 0.9628
Epoch: [ 62] [2900/4000] time: 36561.4025, dice0 = 0.05800, cross0 = 0.0659, kl0 = 0.0040, exclusion0 = 0.0447,     dice1 = 0.07121, cross1 = 0.0728, kl1 = 0.0151, exclusion1 = 0.0756
1.2016437
Epoch: [ 62] [2950/4000] time: 36568.8185, net0_loss = 0.11752, net0_acc = 0.9829, net0_test_acc = 0.9002,     net1_loss = 0.14839, net1_acc = 0.9764, net1_test_acc = 0.9224
Epoch: [ 62] [2950/4000] time: 36568.8186, dice0 = 0.04033, cross0 = 0.0445, kl0 = 0.0134, exclusion0 = 0.0520,     dice1 = 0.05307, cross1 = 0.0574, kl1 = 0.0151, exclusion1 = 0.0608
1.247079
Epoch: [ 62] [3000/4000] time: 36576.2952, net0_loss = 0.17305, net0_acc = 0.9716, net0_test_acc = 0.9557,     net1_loss = 0.10381, net1_acc = 0.9854, net1_test_acc = 0.8922
Epoch: [ 62] [3000/4000] time: 36576.2952, dice0 = 0.06380, cross0 = 0.0811, kl0 = 0.0060, exclusion0 = 0.0503,     dice1 = 0.04119, cross1 = 0.0371, kl1 = 0.0047, exclusion1 = 0.0463
1.1869565
Epoch: [ 62] [3050/4000] time: 36583.7585, net0_loss = 0.09660, net0_acc = 0.9856, net0_test_acc = 0.9741,     net1_loss = 0.12032, net1_acc = 0.9852, net1_test_acc = 0.9499
Epoch: [ 62] [3050/4000] time: 36583.7585, dice0 = 0.03706, cross0 = 0.0372, kl0 = 0.0055, exclusion0 = 0.0392,     dice1 = 0.03580, cross1 = 0.0721, kl1 = 0.0041, exclusion1 = 0.0208
1.3357804
Epoch: [ 62] [3100/4000] time: 36591.1277, net0_loss = 0.10385, net0_acc = 0.9832, net0_test_acc = 0.9381,     net1_loss = 0.13840, net1_acc = 0.9791, net1_test_acc = 0.9458
Epoch: [ 62] [3100/4000] time: 36591.1278, dice0 = 0.03732, cross0 = 0.0446, kl0 = 0.0090, exclusion0 = 0.0349,     dice1 = 0.05262, cross1 = 0.0557, kl1 = 0.0099, exclusion1 = 0.0503
1.0928681
Epoch: [ 62] [3150/4000] time: 36598.5656, net0_loss = 0.08788, net0_acc = 0.9871, net0_test_acc = 0.9416,     net1_loss = 0.20551, net1_acc = 0.9641, net1_test_acc = 0.7819
Epoch: [ 62] [3150/4000] time: 36598.5657, dice0 = 0.03492, cross0 = 0.0343, kl0 = 0.0029, exclusion0 = 0.0344,     dice1 = 0.07633, cross1 = 0.0965, kl1 = 0.0065, exclusion1 = 0.0589
1.1122524
Epoch: [ 62] [3200/4000] time: 36605.9684, net0_loss = 0.14958, net0_acc = 0.9761, net0_test_acc = 0.8540,     net1_loss = 0.11824, net1_acc = 0.9813, net1_test_acc = 0.9194
Epoch: [ 62] [3200/4000] time: 36605.9685, dice0 = 0.05534, cross0 = 0.0670, kl0 = 0.0070, exclusion0 = 0.0474,     dice1 = 0.04486, cross1 = 0.0444, kl1 = 0.0095, exclusion1 = 0.0486
1.1210961
Epoch: [ 62] [3250/4000] time: 36613.3837, net0_loss = 0.08582, net0_acc = 0.9878, net0_test_acc = 0.9081,     net1_loss = 0.09726, net1_acc = 0.9848, net1_test_acc = 0.7957
Epoch: [ 62] [3250/4000] time: 36613.3838, dice0 = 0.03350, cross0 = 0.0290, kl0 = 0.0064, exclusion0 = 0.0403,     dice1 = 0.03595, cross1 = 0.0419, kl1 = 0.0052, exclusion1 = 0.0336
1.2305431
Epoch: [ 62] [3300/4000] time: 36620.7432, net0_loss = 0.10231, net0_acc = 0.9840, net0_test_acc = 0.9329,     net1_loss = 0.06314, net1_acc = 0.9911, net1_test_acc = 0.9281
Epoch: [ 62] [3300/4000] time: 36620.7433, dice0 = 0.03992, cross0 = 0.0410, kl0 = 0.0050, exclusion0 = 0.0377,     dice1 = 0.02163, cross1 = 0.0300, kl1 = 0.0034, exclusion1 = 0.0196
1.316607
Epoch: [ 62] [3350/4000] time: 36628.2085, net0_loss = 0.05275, net0_acc = 0.9925, net0_test_acc = 0.9317,     net1_loss = 0.11814, net1_acc = 0.9819, net1_test_acc = 0.9331
Epoch: [ 62] [3350/4000] time: 36628.2086, dice0 = 0.02011, cross0 = 0.0198, kl0 = 0.0035, exclusion0 = 0.0222,     dice1 = 0.04461, cross1 = 0.0440, kl1 = 0.0084, exclusion1 = 0.0506
1.1334834
Epoch: [ 62] [3400/4000] time: 36635.6689, net0_loss = 0.15751, net0_acc = 0.9764, net0_test_acc = 0.9695,     net1_loss = 0.21465, net1_acc = 0.9636, net1_test_acc = 0.9326
Epoch: [ 62] [3400/4000] time: 36635.6689, dice0 = 0.05801, cross0 = 0.0629, kl0 = 0.0099, exclusion0 = 0.0634,     dice1 = 0.07838, cross1 = 0.0977, kl1 = 0.0121, exclusion1 = 0.0650
1.1361201
Epoch: [ 62] [3450/4000] time: 36643.0562, net0_loss = 0.12804, net0_acc = 0.9791, net0_test_acc = 0.9398,     net1_loss = 0.22422, net1_acc = 0.9596, net1_test_acc = 0.8663
Epoch: [ 62] [3450/4000] time: 36643.0562, dice0 = 0.04657, cross0 = 0.0526, kl0 = 0.0098, exclusion0 = 0.0478,     dice1 = 0.08407, cross1 = 0.1065, kl1 = 0.0073, exclusion1 = 0.0601
1.0537468
Epoch: [ 62] [3500/4000] time: 36650.4678, net0_loss = 0.24713, net0_acc = 0.9606, net0_test_acc = 0.9551,     net1_loss = 0.15110, net1_acc = 0.9754, net1_test_acc = 0.9807
Epoch: [ 62] [3500/4000] time: 36650.4678, dice0 = 0.09153, cross0 = 0.1103, kl0 = 0.0103, exclusion0 = 0.0804,     dice1 = 0.05952, cross1 = 0.0652, kl1 = 0.0042, exclusion1 = 0.0486
1.1281571
Epoch: [ 62] [3550/4000] time: 36657.8545, net0_loss = 0.09677, net0_acc = 0.9858, net0_test_acc = 0.8685,     net1_loss = 0.09658, net1_acc = 0.9844, net1_test_acc = 0.8574
Epoch: [ 62] [3550/4000] time: 36657.8546, dice0 = 0.03867, cross0 = 0.0360, kl0 = 0.0040, exclusion0 = 0.0401,     dice1 = 0.03630, cross1 = 0.0420, kl1 = 0.0046, exclusion1 = 0.0320
1.1575804
Epoch: [ 62] [3600/4000] time: 36665.2802, net0_loss = 0.17335, net0_acc = 0.9726, net0_test_acc = 0.9304,     net1_loss = 0.08844, net1_acc = 0.9885, net1_test_acc = 0.9013
Epoch: [ 62] [3600/4000] time: 36665.2803, dice0 = 0.06486, cross0 = 0.0673, kl0 = 0.0115, exclusion0 = 0.0708,     dice1 = 0.02787, cross1 = 0.0302, kl1 = 0.0142, exclusion1 = 0.0466
1.2685897
Epoch: [ 62] [3650/4000] time: 36672.7285, net0_loss = 0.32217, net0_acc = 0.9539, net0_test_acc = 0.9485,     net1_loss = 0.10703, net1_acc = 0.9832, net1_test_acc = 0.9506
Epoch: [ 62] [3650/4000] time: 36672.7286, dice0 = 0.11559, cross0 = 0.1303, kl0 = 0.0220, exclusion0 = 0.1305,     dice1 = 0.04157, cross1 = 0.0391, kl1 = 0.0072, exclusion1 = 0.0455
1.1496757
Epoch: [ 62] [3700/4000] time: 36680.0993, net0_loss = 0.19027, net0_acc = 0.9692, net0_test_acc = 0.9278,     net1_loss = 0.14701, net1_acc = 0.9773, net1_test_acc = 0.9904
Epoch: [ 62] [3700/4000] time: 36680.0994, dice0 = 0.06966, cross0 = 0.0828, kl0 = 0.0127, exclusion0 = 0.0629,     dice1 = 0.05570, cross1 = 0.0547, kl1 = 0.0112, exclusion1 = 0.0621
1.1529319
Epoch: [ 62] [3750/4000] time: 36687.5652, net0_loss = 0.05645, net0_acc = 0.9915, net0_test_acc = 0.9402,     net1_loss = 0.11161, net1_acc = 0.9828, net1_test_acc = 0.7953
Epoch: [ 62] [3750/4000] time: 36687.5653, dice0 = 0.02102, cross0 = 0.0228, kl0 = 0.0031, exclusion0 = 0.0221,     dice1 = 0.04219, cross1 = 0.0410, kl1 = 0.0074, exclusion1 = 0.0495
1.0763241
Epoch: [ 62] [3800/4000] time: 36694.9577, net0_loss = 0.10693, net0_acc = 0.9825, net0_test_acc = 0.8691,     net1_loss = 0.15093, net1_acc = 0.9776, net1_test_acc = 0.9857
Epoch: [ 62] [3800/4000] time: 36694.9578, dice0 = 0.04066, cross0 = 0.0452, kl0 = 0.0056, exclusion0 = 0.0365,     dice1 = 0.05278, cross1 = 0.0579, kl1 = 0.0164, exclusion1 = 0.0642
1.1540108
Epoch: [ 62] [3850/4000] time: 36702.2746, net0_loss = 0.08974, net0_acc = 0.9841, net0_test_acc = 0.9505,     net1_loss = 0.17251, net1_acc = 0.9767, net1_test_acc = 0.9232
Epoch: [ 62] [3850/4000] time: 36702.2746, dice0 = 0.03610, cross0 = 0.0335, kl0 = 0.0039, exclusion0 = 0.0364,     dice1 = 0.06757, cross1 = 0.0559, kl1 = 0.0138, exclusion1 = 0.0842
1.1210003
Epoch: [ 62] [3900/4000] time: 36709.7387, net0_loss = 0.05143, net0_acc = 0.9926, net0_test_acc = 0.8487,     net1_loss = 0.14759, net1_acc = 0.9753, net1_test_acc = 0.9066
Epoch: [ 62] [3900/4000] time: 36709.7387, dice0 = 0.02001, cross0 = 0.0177, kl0 = 0.0037, exclusion0 = 0.0237,     dice1 = 0.05819, cross1 = 0.0565, kl1 = 0.0063, exclusion1 = 0.0594
1.1011279
Epoch: [ 62] [3950/4000] time: 36717.1810, net0_loss = 0.20122, net0_acc = 0.9682, net0_test_acc = 0.9018,     net1_loss = 0.24045, net1_acc = 0.9628, net1_test_acc = 0.7722
Epoch: [ 62] [3950/4000] time: 36717.1811, dice0 = 0.07133, cross0 = 0.0846, kl0 = 0.0165, exclusion0 = 0.0740,     dice1 = 0.09056, cross1 = 0.0978, kl1 = 0.0133, exclusion1 = 0.0909
1.0870667
Epoch: [ 63] [  0/4000] time: 36724.6160, net0_loss = 0.20635, net0_acc = 0.9627, net0_test_acc = 0.8974,     net1_loss = 0.20480, net1_acc = 0.9676, net1_test_acc = 0.9364
Epoch: [ 63] [  0/4000] time: 36724.6160, dice0 = 0.07615, cross0 = 0.1005, kl0 = 0.0070, exclusion0 = 0.0523,     dice1 = 0.07856, cross1 = 0.0753, kl1 = 0.0123, exclusion1 = 0.0896
1.1449804
Epoch: [ 63] [ 50/4000] time: 36732.0304, net0_loss = 0.20392, net0_acc = 0.9673, net0_test_acc = 0.9295,     net1_loss = 0.21260, net1_acc = 0.9646, net1_test_acc = 0.9227
Epoch: [ 63] [ 50/4000] time: 36732.0304, dice0 = 0.07009, cross0 = 0.1104, kl0 = 0.0040, exclusion0 = 0.0429,     dice1 = 0.07620, cross1 = 0.1008, kl1 = 0.0116, exclusion1 = 0.0597
1.1863248
Epoch: [ 63] [100/4000] time: 36739.4855, net0_loss = 0.09958, net0_acc = 0.9868, net0_test_acc = 0.8788,     net1_loss = 0.05758, net1_acc = 0.9944, net1_test_acc = 0.9229
Epoch: [ 63] [100/4000] time: 36739.4856, dice0 = 0.03271, cross0 = 0.0351, kl0 = 0.0148, exclusion0 = 0.0488,     dice1 = 0.02055, cross1 = 0.0176, kl1 = 0.0076, exclusion1 = 0.0314
1.2192417
Epoch: [ 63] [150/4000] time: 36746.8945, net0_loss = 0.27068, net0_acc = 0.9560, net0_test_acc = 0.9382,     net1_loss = 0.19160, net1_acc = 0.9679, net1_test_acc = 0.9573
Epoch: [ 63] [150/4000] time: 36746.8946, dice0 = 0.09455, cross0 = 0.1269, kl0 = 0.0143, exclusion0 = 0.0840,     dice1 = 0.07427, cross1 = 0.0800, kl1 = 0.0068, exclusion1 = 0.0678
1.0524427
Epoch: [ 63] [200/4000] time: 36754.3367, net0_loss = 0.17735, net0_acc = 0.9716, net0_test_acc = 0.9831,     net1_loss = 0.09187, net1_acc = 0.9856, net1_test_acc = 0.9886
Epoch: [ 63] [200/4000] time: 36754.3368, dice0 = 0.06333, cross0 = 0.0721, kl0 = 0.0152, exclusion0 = 0.0688,     dice1 = 0.03601, cross1 = 0.0321, kl1 = 0.0067, exclusion1 = 0.0408
1.1384168
Epoch: [ 63] [250/4000] time: 36761.7365, net0_loss = 0.22102, net0_acc = 0.9610, net0_test_acc = 0.9668,     net1_loss = 0.13029, net1_acc = 0.9804, net1_test_acc = 0.9557
Epoch: [ 63] [250/4000] time: 36761.7366, dice0 = 0.08634, cross0 = 0.0947, kl0 = 0.0083, exclusion0 = 0.0716,     dice1 = 0.05187, cross1 = 0.0461, kl1 = 0.0061, exclusion1 = 0.0586
1.267385
Epoch: [ 63] [300/4000] time: 36769.1676, net0_loss = 0.07614, net0_acc = 0.9888, net0_test_acc = 0.9768,     net1_loss = 0.22960, net1_acc = 0.9636, net1_test_acc = 0.9211
Epoch: [ 63] [300/4000] time: 36769.1677, dice0 = 0.02920, cross0 = 0.0296, kl0 = 0.0044, exclusion0 = 0.0303,     dice1 = 0.07905, cross1 = 0.1244, kl1 = 0.0048, exclusion1 = 0.0475
1.224527
Epoch: [ 63] [350/4000] time: 36776.5553, net0_loss = 0.16200, net0_acc = 0.9778, net0_test_acc = 0.9085,     net1_loss = 0.23755, net1_acc = 0.9587, net1_test_acc = 0.9878
Epoch: [ 63] [350/4000] time: 36776.5553, dice0 = 0.06357, cross0 = 0.0571, kl0 = 0.0118, exclusion0 = 0.0707,     dice1 = 0.08500, cross1 = 0.1192, kl1 = 0.0069, exclusion1 = 0.0598
1.2416863
Epoch: [ 63] [400/4000] time: 36784.0150, net0_loss = 0.08641, net0_acc = 0.9855, net0_test_acc = 0.9218,     net1_loss = 0.22448, net1_acc = 0.9677, net1_test_acc = 0.9889
Epoch: [ 63] [400/4000] time: 36784.0151, dice0 = 0.03356, cross0 = 0.0391, kl0 = 0.0013, exclusion0 = 0.0261,     dice1 = 0.08052, cross1 = 0.0903, kl1 = 0.0204, exclusion1 = 0.0870
1.2582462
Epoch: [ 63] [450/4000] time: 36791.4019, net0_loss = 0.21683, net0_acc = 0.9656, net0_test_acc = 0.9156,     net1_loss = 0.24884, net1_acc = 0.9570, net1_test_acc = 0.9120
Epoch: [ 63] [450/4000] time: 36791.4019, dice0 = 0.07639, cross0 = 0.0954, kl0 = 0.0141, exclusion0 = 0.0760,     dice1 = 0.09116, cross1 = 0.1155, kl1 = 0.0106, exclusion1 = 0.0738
1.2032648
Epoch: [ 63] [500/4000] time: 36798.8526, net0_loss = 0.14272, net0_acc = 0.9781, net0_test_acc = 0.9643,     net1_loss = 0.17761, net1_acc = 0.9729, net1_test_acc = 0.9582
Epoch: [ 63] [500/4000] time: 36798.8526, dice0 = 0.05231, cross0 = 0.0515, kl0 = 0.0136, exclusion0 = 0.0641,     dice1 = 0.06616, cross1 = 0.0722, kl1 = 0.0101, exclusion1 = 0.0685
1.0885296
Epoch: [ 63] [550/4000] time: 36806.2581, net0_loss = 0.16279, net0_acc = 0.9725, net0_test_acc = 0.7410,     net1_loss = 0.12591, net1_acc = 0.9792, net1_test_acc = 0.8937
Epoch: [ 63] [550/4000] time: 36806.2582, dice0 = 0.06409, cross0 = 0.0670, kl0 = 0.0054, exclusion0 = 0.0580,     dice1 = 0.04707, cross1 = 0.0555, kl1 = 0.0059, exclusion1 = 0.0407
1.1962188
Epoch: [ 63] [600/4000] time: 36813.6984, net0_loss = 0.12846, net0_acc = 0.9791, net0_test_acc = 0.8329,     net1_loss = 0.13517, net1_acc = 0.9784, net1_test_acc = 0.8344
Epoch: [ 63] [600/4000] time: 36813.6985, dice0 = 0.04792, cross0 = 0.0606, kl0 = 0.0034, exclusion0 = 0.0365,     dice1 = 0.04973, cross1 = 0.0510, kl1 = 0.0124, exclusion1 = 0.0565
1.190474
Epoch: [ 63] [650/4000] time: 36821.1058, net0_loss = 0.08235, net0_acc = 0.9892, net0_test_acc = 0.9845,     net1_loss = 0.16325, net1_acc = 0.9758, net1_test_acc = 0.9684
Epoch: [ 63] [650/4000] time: 36821.1058, dice0 = 0.03291, cross0 = 0.0291, kl0 = 0.0045, exclusion0 = 0.0362,     dice1 = 0.06350, cross1 = 0.0579, kl1 = 0.0097, exclusion1 = 0.0741
1.101003
Epoch: [ 63] [700/4000] time: 36828.5234, net0_loss = 0.22846, net0_acc = 0.9597, net0_test_acc = 0.9397,     net1_loss = 0.18378, net1_acc = 0.9702, net1_test_acc = 0.9485
Epoch: [ 63] [700/4000] time: 36828.5235, dice0 = 0.08765, cross0 = 0.0993, kl0 = 0.0115, exclusion0 = 0.0714,     dice1 = 0.06703, cross1 = 0.0879, kl1 = 0.0064, exclusion1 = 0.0514
1.1645128
Epoch: [ 63] [750/4000] time: 36835.9072, net0_loss = 0.06405, net0_acc = 0.9906, net0_test_acc = 0.9493,     net1_loss = 0.04179, net1_acc = 0.9946, net1_test_acc = 0.9682
Epoch: [ 63] [750/4000] time: 36835.9073, dice0 = 0.02394, cross0 = 0.0262, kl0 = 0.0032, exclusion0 = 0.0246,     dice1 = 0.01654, cross1 = 0.0136, kl1 = 0.0026, exclusion1 = 0.0206
1.1095706
Epoch: [ 63] [800/4000] time: 36843.3334, net0_loss = 0.05342, net0_acc = 0.9923, net0_test_acc = 0.8901,     net1_loss = 0.12042, net1_acc = 0.9823, net1_test_acc = 0.9778
Epoch: [ 63] [800/4000] time: 36843.3334, dice0 = 0.02170, cross0 = 0.0189, kl0 = 0.0014, exclusion0 = 0.0242,     dice1 = 0.04761, cross1 = 0.0445, kl1 = 0.0062, exclusion1 = 0.0505
1.0852876
Epoch: [ 63] [850/4000] time: 36850.7680, net0_loss = 0.22117, net0_acc = 0.9664, net0_test_acc = 0.9454,     net1_loss = 0.21411, net1_acc = 0.9656, net1_test_acc = 0.9323
Epoch: [ 63] [850/4000] time: 36850.7680, dice0 = 0.07382, cross0 = 0.0905, kl0 = 0.0250, exclusion0 = 0.0886,     dice1 = 0.07407, cross1 = 0.1028, kl1 = 0.0128, exclusion1 = 0.0617
1.0971024
Epoch: [ 63] [900/4000] time: 36858.1792, net0_loss = 0.13024, net0_acc = 0.9765, net0_test_acc = 0.9395,     net1_loss = 0.19691, net1_acc = 0.9682, net1_test_acc = 0.9065
Epoch: [ 63] [900/4000] time: 36858.1793, dice0 = 0.04882, cross0 = 0.0628, kl0 = 0.0035, exclusion0 = 0.0337,     dice1 = 0.07392, cross1 = 0.0875, kl1 = 0.0071, exclusion1 = 0.0639
1.1412507
Epoch: [ 63] [950/4000] time: 36865.5490, net0_loss = 0.07523, net0_acc = 0.9883, net0_test_acc = 0.9741,     net1_loss = 0.13997, net1_acc = 0.9798, net1_test_acc = 0.9385
Epoch: [ 63] [950/4000] time: 36865.5490, dice0 = 0.03062, cross0 = 0.0270, kl0 = 0.0029, exclusion0 = 0.0324,     dice1 = 0.05261, cross1 = 0.0563, kl1 = 0.0081, exclusion1 = 0.0541
1.0727775
Epoch: [ 63] [1000/4000] time: 36873.0249, net0_loss = 0.05593, net0_acc = 0.9909, net0_test_acc = 0.7561,     net1_loss = 0.17889, net1_acc = 0.9725, net1_test_acc = 0.9469
Epoch: [ 63] [1000/4000] time: 36873.0250, dice0 = 0.02285, cross0 = 0.0218, kl0 = 0.0020, exclusion0 = 0.0206,     dice1 = 0.06548, cross1 = 0.0685, kl1 = 0.0147, exclusion1 = 0.0752
1.1543076
Epoch: [ 63] [1050/4000] time: 36880.4552, net0_loss = 0.18708, net0_acc = 0.9718, net0_test_acc = 0.8942,     net1_loss = 0.16299, net1_acc = 0.9738, net1_test_acc = 0.8061
Epoch: [ 63] [1050/4000] time: 36880.4553, dice0 = 0.06664, cross0 = 0.0708, kl0 = 0.0188, exclusion0 = 0.0804,     dice1 = 0.05972, cross1 = 0.0689, kl1 = 0.0092, exclusion1 = 0.0595
1.103246
Epoch: [ 63] [1100/4000] time: 36887.8228, net0_loss = 0.09402, net0_acc = 0.9867, net0_test_acc = 0.8936,     net1_loss = 0.09974, net1_acc = 0.9837, net1_test_acc = 0.9598
Epoch: [ 63] [1100/4000] time: 36887.8228, dice0 = 0.03547, cross0 = 0.0304, kl0 = 0.0078, exclusion0 = 0.0486,     dice1 = 0.04008, cross1 = 0.0371, kl1 = 0.0040, exclusion1 = 0.0411
1.1541841
Epoch: [ 63] [1150/4000] time: 36895.2798, net0_loss = 0.14922, net0_acc = 0.9737, net0_test_acc = 0.9330,     net1_loss = 0.23470, net1_acc = 0.9560, net1_test_acc = 0.9787
Epoch: [ 63] [1150/4000] time: 36895.2798, dice0 = 0.05628, cross0 = 0.0670, kl0 = 0.0051, exclusion0 = 0.0468,     dice1 = 0.08921, cross1 = 0.1097, kl1 = 0.0076, exclusion1 = 0.0639
1.1143006
Epoch: [ 63] [1200/4000] time: 36902.6608, net0_loss = 0.13101, net0_acc = 0.9813, net0_test_acc = 0.9140,     net1_loss = 0.16337, net1_acc = 0.9710, net1_test_acc = 0.9256
Epoch: [ 63] [1200/4000] time: 36902.6609, dice0 = 0.05147, cross0 = 0.0440, kl0 = 0.0083, exclusion0 = 0.0627,     dice1 = 0.06242, cross1 = 0.0725, kl1 = 0.0069, exclusion1 = 0.0501
1.1654984
Epoch: [ 63] [1250/4000] time: 36910.0477, net0_loss = 0.15491, net0_acc = 0.9768, net0_test_acc = 0.9555,     net1_loss = 0.16722, net1_acc = 0.9713, net1_test_acc = 0.9350
Epoch: [ 63] [1250/4000] time: 36910.0478, dice0 = 0.05787, cross0 = 0.0623, kl0 = 0.0090, exclusion0 = 0.0605,     dice1 = 0.06509, cross1 = 0.0675, kl1 = 0.0102, exclusion1 = 0.0591
1.0973687
Epoch: [ 63] [1300/4000] time: 36917.4463, net0_loss = 0.07706, net0_acc = 0.9882, net0_test_acc = 0.7499,     net1_loss = 0.20769, net1_acc = 0.9640, net1_test_acc = 0.8285
Epoch: [ 63] [1300/4000] time: 36917.4464, dice0 = 0.03024, cross0 = 0.0309, kl0 = 0.0027, exclusion0 = 0.0291,     dice1 = 0.07574, cross1 = 0.0860, kl1 = 0.0169, exclusion1 = 0.0750
1.202328
Epoch: [ 63] [1350/4000] time: 36924.9168, net0_loss = 0.13525, net0_acc = 0.9756, net0_test_acc = 0.8138,     net1_loss = 0.19849, net1_acc = 0.9663, net1_test_acc = 0.8278
Epoch: [ 63] [1350/4000] time: 36924.9169, dice0 = 0.05050, cross0 = 0.0651, kl0 = 0.0043, exclusion0 = 0.0350,     dice1 = 0.07489, cross1 = 0.0924, kl1 = 0.0079, exclusion1 = 0.0544
1.1025792
Epoch: [ 63] [1400/4000] time: 36932.3614, net0_loss = 0.10489, net0_acc = 0.9841, net0_test_acc = 0.9748,     net1_loss = 0.16643, net1_acc = 0.9741, net1_test_acc = 0.9487
Epoch: [ 63] [1400/4000] time: 36932.3615, dice0 = 0.03969, cross0 = 0.0432, kl0 = 0.0063, exclusion0 = 0.0376,     dice1 = 0.06153, cross1 = 0.0765, kl1 = 0.0078, exclusion1 = 0.0490
1.168273
Epoch: [ 63] [1450/4000] time: 36939.7387, net0_loss = 0.15159, net0_acc = 0.9748, net0_test_acc = 0.9906,     net1_loss = 0.11945, net1_acc = 0.9805, net1_test_acc = 0.9545
Epoch: [ 63] [1450/4000] time: 36939.7388, dice0 = 0.06121, cross0 = 0.0590, kl0 = 0.0050, exclusion0 = 0.0578,     dice1 = 0.04443, cross1 = 0.0537, kl1 = 0.0048, exclusion1 = 0.0379
1.1275948
Epoch: [ 63] [1500/4000] time: 36947.1073, net0_loss = 0.19235, net0_acc = 0.9679, net0_test_acc = 0.9471,     net1_loss = 0.16472, net1_acc = 0.9714, net1_test_acc = 0.8362
Epoch: [ 63] [1500/4000] time: 36947.1074, dice0 = 0.07517, cross0 = 0.0785, kl0 = 0.0078, exclusion0 = 0.0696,     dice1 = 0.06402, cross1 = 0.0715, kl1 = 0.0073, exclusion1 = 0.0510
1.1415118
Epoch: [ 63] [1550/4000] time: 36954.5723, net0_loss = 0.08379, net0_acc = 0.9878, net0_test_acc = 0.9808,     net1_loss = 0.08824, net1_acc = 0.9871, net1_test_acc = 0.8825
Epoch: [ 63] [1550/4000] time: 36954.5724, dice0 = 0.02957, cross0 = 0.0399, kl0 = 0.0030, exclusion0 = 0.0256,     dice1 = 0.03135, cross1 = 0.0429, kl1 = 0.0029, exclusion1 = 0.0250
1.281082
Epoch: [ 63] [1600/4000] time: 36962.0098, net0_loss = 0.02814, net0_acc = 0.9966, net0_test_acc = 0.9454,     net1_loss = 0.35671, net1_acc = 0.9458, net1_test_acc = 0.9655
Epoch: [ 63] [1600/4000] time: 36962.0098, dice0 = 0.01048, cross0 = 0.0092, kl0 = 0.0020, exclusion0 = 0.0150,     dice1 = 0.11684, cross1 = 0.1636, kl1 = 0.0288, exclusion1 = 0.1237
1.2739277
Epoch: [ 63] [1650/4000] time: 36969.4721, net0_loss = 0.18532, net0_acc = 0.9709, net0_test_acc = 0.9438,     net1_loss = 0.17411, net1_acc = 0.9724, net1_test_acc = 0.9821
Epoch: [ 63] [1650/4000] time: 36969.4722, dice0 = 0.06529, cross0 = 0.0890, kl0 = 0.0089, exclusion0 = 0.0531,     dice1 = 0.06307, cross1 = 0.0695, kl1 = 0.0148, exclusion1 = 0.0683
1.1699007
Epoch: [ 63] [1700/4000] time: 36976.8855, net0_loss = 0.13882, net0_acc = 0.9757, net0_test_acc = 0.8751,     net1_loss = 0.21454, net1_acc = 0.9678, net1_test_acc = 0.9530
Epoch: [ 63] [1700/4000] time: 36976.8856, dice0 = 0.05208, cross0 = 0.0604, kl0 = 0.0065, exclusion0 = 0.0463,     dice1 = 0.08125, cross1 = 0.0790, kl1 = 0.0173, exclusion1 = 0.0913
1.1698812
Epoch: [ 63] [1750/4000] time: 36984.3217, net0_loss = 0.13434, net0_acc = 0.9771, net0_test_acc = 0.9075,     net1_loss = 0.19365, net1_acc = 0.9690, net1_test_acc = 0.9622
Epoch: [ 63] [1750/4000] time: 36984.3218, dice0 = 0.05090, cross0 = 0.0563, kl0 = 0.0074, exclusion0 = 0.0469,     dice1 = 0.07195, cross1 = 0.0784, kl1 = 0.0122, exclusion1 = 0.0743
1.1674396
Epoch: [ 63] [1800/4000] time: 36991.7249, net0_loss = 0.12754, net0_acc = 0.9790, net0_test_acc = 0.9736,     net1_loss = 0.11607, net1_acc = 0.9807, net1_test_acc = 0.9325
Epoch: [ 63] [1800/4000] time: 36991.7250, dice0 = 0.05043, cross0 = 0.0554, kl0 = 0.0028, exclusion0 = 0.0406,     dice1 = 0.04485, cross1 = 0.0456, kl1 = 0.0054, exclusion1 = 0.0460
1.1726704
Epoch: [ 63] [1850/4000] time: 36999.1675, net0_loss = 0.25611, net0_acc = 0.9550, net0_test_acc = 0.9142,     net1_loss = 0.23316, net1_acc = 0.9613, net1_test_acc = 0.9715
Epoch: [ 63] [1850/4000] time: 36999.1676, dice0 = 0.09519, cross0 = 0.1134, kl0 = 0.0121, exclusion0 = 0.0830,     dice1 = 0.07773, cross1 = 0.1270, kl1 = 0.0107, exclusion1 = 0.0462
1.1753554
Epoch: [ 63] [1900/4000] time: 37006.5884, net0_loss = 0.12221, net0_acc = 0.9807, net0_test_acc = 0.9817,     net1_loss = 0.04159, net1_acc = 0.9960, net1_test_acc = 0.9515
Epoch: [ 63] [1900/4000] time: 37006.5885, dice0 = 0.04546, cross0 = 0.0575, kl0 = 0.0034, exclusion0 = 0.0351,     dice1 = 0.01519, cross1 = 0.0117, kl1 = 0.0038, exclusion1 = 0.0256
1.1174423
Epoch: [ 63] [1950/4000] time: 37013.9485, net0_loss = 0.15770, net0_acc = 0.9715, net0_test_acc = 0.7366,     net1_loss = 0.04086, net1_acc = 0.9940, net1_test_acc = 0.9187
Epoch: [ 63] [1950/4000] time: 37013.9486, dice0 = 0.05806, cross0 = 0.0810, kl0 = 0.0034, exclusion0 = 0.0339,     dice1 = 0.01661, cross1 = 0.0144, kl1 = 0.0022, exclusion1 = 0.0176
1.2822021
Epoch: [ 63] [2000/4000] time: 37021.4084, net0_loss = 0.19725, net0_acc = 0.9704, net0_test_acc = 0.9447,     net1_loss = 0.13306, net1_acc = 0.9761, net1_test_acc = 0.9525
Epoch: [ 63] [2000/4000] time: 37021.4084, dice0 = 0.07059, cross0 = 0.0899, kl0 = 0.0082, exclusion0 = 0.0653,     dice1 = 0.04892, cross1 = 0.0686, kl1 = 0.0026, exclusion1 = 0.0285
1.2580522
Epoch: [ 63] [2050/4000] time: 37028.8441, net0_loss = 0.21992, net0_acc = 0.9623, net0_test_acc = 0.9277,     net1_loss = 0.09027, net1_acc = 0.9873, net1_test_acc = 0.9624
Epoch: [ 63] [2050/4000] time: 37028.8441, dice0 = 0.08339, cross0 = 0.0900, kl0 = 0.0129, exclusion0 = 0.0801,     dice1 = 0.03556, cross1 = 0.0312, kl1 = 0.0074, exclusion1 = 0.0396
1.276973
Epoch: [ 63] [2100/4000] time: 37036.2446, net0_loss = 0.08184, net0_acc = 0.9877, net0_test_acc = 0.9456,     net1_loss = 0.11903, net1_acc = 0.9826, net1_test_acc = 0.9252
Epoch: [ 63] [2100/4000] time: 37036.2447, dice0 = 0.03337, cross0 = 0.0298, kl0 = 0.0020, exclusion0 = 0.0353,     dice1 = 0.04607, cross1 = 0.0436, kl1 = 0.0070, exclusion1 = 0.0518
1.2286218
Epoch: [ 63] [2150/4000] time: 37043.6407, net0_loss = 0.13835, net0_acc = 0.9797, net0_test_acc = 0.8099,     net1_loss = 0.16934, net1_acc = 0.9714, net1_test_acc = 0.9288
Epoch: [ 63] [2150/4000] time: 37043.6407, dice0 = 0.05251, cross0 = 0.0462, kl0 = 0.0116, exclusion0 = 0.0676,     dice1 = 0.06230, cross1 = 0.0740, kl1 = 0.0101, exclusion1 = 0.0559
1.1195822
Epoch: [ 63] [2200/4000] time: 37051.0865, net0_loss = 0.05778, net0_acc = 0.9910, net0_test_acc = 0.9095,     net1_loss = 0.11015, net1_acc = 0.9834, net1_test_acc = 0.8834
Epoch: [ 63] [2200/4000] time: 37051.0865, dice0 = 0.02208, cross0 = 0.0233, kl0 = 0.0028, exclusion0 = 0.0221,     dice1 = 0.04569, cross1 = 0.0395, kl1 = 0.0021, exclusion1 = 0.0479
1.1851351
Epoch: [ 63] [2250/4000] time: 37058.5456, net0_loss = 0.13522, net0_acc = 0.9800, net0_test_acc = 0.9596,     net1_loss = 0.10326, net1_acc = 0.9831, net1_test_acc = 0.9354
Epoch: [ 63] [2250/4000] time: 37058.5456, dice0 = 0.05296, cross0 = 0.0471, kl0 = 0.0067, exclusion0 = 0.0638,     dice1 = 0.03736, cross1 = 0.0464, kl1 = 0.0047, exclusion1 = 0.0343
1.1652102
Epoch: [ 63] [2300/4000] time: 37065.9529, net0_loss = 0.19808, net0_acc = 0.9689, net0_test_acc = 0.8383,     net1_loss = 0.16679, net1_acc = 0.9705, net1_test_acc = 0.9310
Epoch: [ 63] [2300/4000] time: 37065.9530, dice0 = 0.07090, cross0 = 0.0934, kl0 = 0.0073, exclusion0 = 0.0603,     dice1 = 0.06311, cross1 = 0.0747, kl1 = 0.0073, exclusion1 = 0.0506
1.1758748
Epoch: [ 63] [2350/4000] time: 37073.3398, net0_loss = 0.41345, net0_acc = 0.9256, net0_test_acc = 0.9643,     net1_loss = 0.23251, net1_acc = 0.9645, net1_test_acc = 0.9619
Epoch: [ 63] [2350/4000] time: 37073.3398, dice0 = 0.13755, cross0 = 0.2384, kl0 = 0.0103, exclusion0 = 0.0647,     dice1 = 0.07986, cross1 = 0.1125, kl1 = 0.0133, exclusion1 = 0.0670
1.1503212
Epoch: [ 63] [2400/4000] time: 37080.7839, net0_loss = 0.16432, net0_acc = 0.9720, net0_test_acc = 0.9497,     net1_loss = 0.10721, net1_acc = 0.9840, net1_test_acc = 0.9904
Epoch: [ 63] [2400/4000] time: 37080.7840, dice0 = 0.06299, cross0 = 0.0701, kl0 = 0.0081, exclusion0 = 0.0543,     dice1 = 0.04021, cross1 = 0.0408, kl1 = 0.0075, exclusion1 = 0.0450
1.105315
Epoch: [ 63] [2450/4000] time: 37088.1975, net0_loss = 0.13787, net0_acc = 0.9762, net0_test_acc = 0.9614,     net1_loss = 0.31601, net1_acc = 0.9525, net1_test_acc = 0.9144
Epoch: [ 63] [2450/4000] time: 37088.1976, dice0 = 0.05380, cross0 = 0.0610, kl0 = 0.0030, exclusion0 = 0.0431,     dice1 = 0.10622, cross1 = 0.1524, kl1 = 0.0206, exclusion1 = 0.0942
1.1619225
Epoch: [ 63] [2500/4000] time: 37095.6071, net0_loss = 0.12522, net0_acc = 0.9838, net0_test_acc = 0.8751,     net1_loss = 0.18159, net1_acc = 0.9694, net1_test_acc = 0.9111
Epoch: [ 63] [2500/4000] time: 37095.6072, dice0 = 0.04926, cross0 = 0.0400, kl0 = 0.0086, exclusion0 = 0.0632,     dice1 = 0.06867, cross1 = 0.0784, kl1 = 0.0067, exclusion1 = 0.0624
1.1863542
Epoch: [ 63] [2550/4000] time: 37103.0207, net0_loss = 0.13096, net0_acc = 0.9822, net0_test_acc = 0.8065,     net1_loss = 0.11319, net1_acc = 0.9808, net1_test_acc = 0.9659
Epoch: [ 63] [2550/4000] time: 37103.0208, dice0 = 0.04434, cross0 = 0.0522, kl0 = 0.0126, exclusion0 = 0.0562,     dice1 = 0.04580, cross1 = 0.0479, kl1 = 0.0024, exclusion1 = 0.0365
1.2101965
Epoch: [ 63] [2600/4000] time: 37110.3571, net0_loss = 0.13493, net0_acc = 0.9788, net0_test_acc = 0.9821,     net1_loss = 0.13139, net1_acc = 0.9774, net1_test_acc = 0.9007
Epoch: [ 63] [2600/4000] time: 37110.3571, dice0 = 0.05271, cross0 = 0.0540, kl0 = 0.0053, exclusion0 = 0.0511,     dice1 = 0.05028, cross1 = 0.0587, kl1 = 0.0039, exclusion1 = 0.0409
1.2322211
Epoch: [ 63] [2650/4000] time: 37117.8139, net0_loss = 0.17068, net0_acc = 0.9721, net0_test_acc = 0.9405,     net1_loss = 0.13968, net1_acc = 0.9770, net1_test_acc = 0.9620
Epoch: [ 63] [2650/4000] time: 37117.8140, dice0 = 0.06181, cross0 = 0.0741, kl0 = 0.0123, exclusion0 = 0.0573,     dice1 = 0.05436, cross1 = 0.0629, kl1 = 0.0046, exclusion1 = 0.0403
1.1197157
Epoch: [ 63] [2700/4000] time: 37125.2661, net0_loss = 0.14922, net0_acc = 0.9780, net0_test_acc = 0.9013,     net1_loss = 0.15689, net1_acc = 0.9744, net1_test_acc = 0.9184
Epoch: [ 63] [2700/4000] time: 37125.2662, dice0 = 0.05785, cross0 = 0.0515, kl0 = 0.0099, exclusion0 = 0.0700,     dice1 = 0.05669, cross1 = 0.0698, kl1 = 0.0090, exclusion1 = 0.0518
1.1179447
Epoch: [ 63] [2750/4000] time: 37132.6820, net0_loss = 0.09260, net0_acc = 0.9831, net0_test_acc = 0.9550,     net1_loss = 0.18844, net1_acc = 0.9661, net1_test_acc = 0.8859
Epoch: [ 63] [2750/4000] time: 37132.6820, dice0 = 0.03577, cross0 = 0.0422, kl0 = 0.0033, exclusion0 = 0.0260,     dice1 = 0.06991, cross1 = 0.0900, kl1 = 0.0076, exclusion1 = 0.0495
1.1877602
Epoch: [ 63] [2800/4000] time: 37140.0669, net0_loss = 0.11333, net0_acc = 0.9792, net0_test_acc = 0.9745,     net1_loss = 0.16355, net1_acc = 0.9763, net1_test_acc = 0.9513
Epoch: [ 63] [2800/4000] time: 37140.0670, dice0 = 0.04250, cross0 = 0.0520, kl0 = 0.0053, exclusion0 = 0.0324,     dice1 = 0.05293, cross1 = 0.0677, kl1 = 0.0195, exclusion1 = 0.0664
1.1690946
Epoch: [ 63] [2850/4000] time: 37147.5085, net0_loss = 0.12743, net0_acc = 0.9807, net0_test_acc = 0.9579,     net1_loss = 0.22731, net1_acc = 0.9621, net1_test_acc = 0.9451
Epoch: [ 63] [2850/4000] time: 37147.5085, dice0 = 0.04504, cross0 = 0.0491, kl0 = 0.0133, exclusion0 = 0.0532,     dice1 = 0.08288, cross1 = 0.0961, kl1 = 0.0160, exclusion1 = 0.0807
1.1761857
Epoch: [ 63] [2900/4000] time: 37154.8991, net0_loss = 0.07057, net0_acc = 0.9895, net0_test_acc = 0.9327,     net1_loss = 0.11895, net1_acc = 0.9801, net1_test_acc = 0.7848
Epoch: [ 63] [2900/4000] time: 37154.8992, dice0 = 0.02850, cross0 = 0.0267, kl0 = 0.0024, exclusion0 = 0.0284,     dice1 = 0.04448, cross1 = 0.0489, kl1 = 0.0062, exclusion1 = 0.0451
1.1641446
Epoch: [ 63] [2950/4000] time: 37162.3349, net0_loss = 0.08238, net0_acc = 0.9863, net0_test_acc = 0.8497,     net1_loss = 0.06552, net1_acc = 0.9905, net1_test_acc = 0.9220
Epoch: [ 63] [2950/4000] time: 37162.3350, dice0 = 0.03223, cross0 = 0.0347, kl0 = 0.0023, exclusion0 = 0.0287,     dice1 = 0.02377, cross1 = 0.0236, kl1 = 0.0053, exclusion1 = 0.0311
1.14918
Epoch: [ 63] [3000/4000] time: 37169.7440, net0_loss = 0.26593, net0_acc = 0.9582, net0_test_acc = 0.9186,     net1_loss = 0.17824, net1_acc = 0.9695, net1_test_acc = 0.8234
Epoch: [ 63] [3000/4000] time: 37169.7440, dice0 = 0.08731, cross0 = 0.1421, kl0 = 0.0124, exclusion0 = 0.0607,     dice1 = 0.06766, cross1 = 0.0825, kl1 = 0.0046, exclusion1 = 0.0515
1.1360381
Epoch: [ 63] [3050/4000] time: 37177.1587, net0_loss = 0.04105, net0_acc = 0.9943, net0_test_acc = 0.9368,     net1_loss = 0.08779, net1_acc = 0.9865, net1_test_acc = 0.9410
Epoch: [ 63] [3050/4000] time: 37177.1588, dice0 = 0.01680, cross0 = 0.0136, kl0 = 0.0019, exclusion0 = 0.0193,     dice1 = 0.03521, cross1 = 0.0329, kl1 = 0.0033, exclusion1 = 0.0360
1.1728628
Epoch: [ 63] [3100/4000] time: 37184.5564, net0_loss = 0.08073, net0_acc = 0.9893, net0_test_acc = 0.9174,     net1_loss = 0.07497, net1_acc = 0.9868, net1_test_acc = 0.9417
Epoch: [ 63] [3100/4000] time: 37184.5565, dice0 = 0.03150, cross0 = 0.0273, kl0 = 0.0041, exclusion0 = 0.0397,     dice1 = 0.02926, cross1 = 0.0338, kl1 = 0.0019, exclusion1 = 0.0219
1.2685196
Epoch: [ 63] [3150/4000] time: 37191.9633, net0_loss = 0.17519, net0_acc = 0.9715, net0_test_acc = 0.9732,     net1_loss = 0.16482, net1_acc = 0.9737, net1_test_acc = 0.9365
Epoch: [ 63] [3150/4000] time: 37191.9633, dice0 = 0.06939, cross0 = 0.0688, kl0 = 0.0079, exclusion0 = 0.0662,     dice1 = 0.06048, cross1 = 0.0655, kl1 = 0.0136, exclusion1 = 0.0640
1.1119184
Epoch: [ 63] [3200/4000] time: 37199.3410, net0_loss = 0.35312, net0_acc = 0.9488, net0_test_acc = 0.9540,     net1_loss = 0.15829, net1_acc = 0.9742, net1_test_acc = 0.8669
Epoch: [ 63] [3200/4000] time: 37199.3411, dice0 = 0.10415, cross0 = 0.2091, kl0 = 0.0159, exclusion0 = 0.0639,     dice1 = 0.05714, cross1 = 0.0741, kl1 = 0.0061, exclusion1 = 0.0479
1.1379735
Epoch: [ 63] [3250/4000] time: 37206.8235, net0_loss = 0.09090, net0_acc = 0.9875, net0_test_acc = 0.9514,     net1_loss = 0.14679, net1_acc = 0.9755, net1_test_acc = 0.9824
Epoch: [ 63] [3250/4000] time: 37206.8236, dice0 = 0.03431, cross0 = 0.0300, kl0 = 0.0092, exclusion0 = 0.0440,     dice1 = 0.05316, cross1 = 0.0704, kl1 = 0.0058, exclusion1 = 0.0407
1.1975777
Epoch: [ 63] [3300/4000] time: 37214.2577, net0_loss = 0.12663, net0_acc = 0.9797, net0_test_acc = 0.8734,     net1_loss = 0.12613, net1_acc = 0.9801, net1_test_acc = 0.8475
Epoch: [ 63] [3300/4000] time: 37214.2579, dice0 = 0.04908, cross0 = 0.0527, kl0 = 0.0050, exclusion0 = 0.0447,     dice1 = 0.04832, cross1 = 0.0531, kl1 = 0.0051, exclusion1 = 0.0444
1.1823261
Epoch: [ 63] [3350/4000] time: 37221.6436, net0_loss = 0.14023, net0_acc = 0.9763, net0_test_acc = 0.9245,     net1_loss = 0.09967, net1_acc = 0.9841, net1_test_acc = 0.8958
Epoch: [ 63] [3350/4000] time: 37221.6436, dice0 = 0.05180, cross0 = 0.0667, kl0 = 0.0048, exclusion0 = 0.0386,     dice1 = 0.03867, cross1 = 0.0424, kl1 = 0.0031, exclusion1 = 0.0341
1.221089
Epoch: [ 63] [3400/4000] time: 37229.0353, net0_loss = 0.12497, net0_acc = 0.9815, net0_test_acc = 0.9466,     net1_loss = 0.10567, net1_acc = 0.9859, net1_test_acc = 0.9427
Epoch: [ 63] [3400/4000] time: 37229.0354, dice0 = 0.04488, cross0 = 0.0472, kl0 = 0.0119, exclusion0 = 0.0539,     dice1 = 0.04152, cross1 = 0.0333, kl1 = 0.0081, exclusion1 = 0.0536
1.2057562
Epoch: [ 63] [3450/4000] time: 37236.4418, net0_loss = 0.12700, net0_acc = 0.9800, net0_test_acc = 0.9259,     net1_loss = 0.16715, net1_acc = 0.9744, net1_test_acc = 0.9890
Epoch: [ 63] [3450/4000] time: 37236.4419, dice0 = 0.04705, cross0 = 0.0545, kl0 = 0.0088, exclusion0 = 0.0422,     dice1 = 0.06332, cross1 = 0.0609, kl1 = 0.0147, exclusion1 = 0.0713
1.2583296
Epoch: [ 63] [3500/4000] time: 37243.8800, net0_loss = 0.12902, net0_acc = 0.9773, net0_test_acc = 0.9500,     net1_loss = 0.14707, net1_acc = 0.9748, net1_test_acc = 0.7981
Epoch: [ 63] [3500/4000] time: 37243.8801, dice0 = 0.05209, cross0 = 0.0532, kl0 = 0.0037, exclusion0 = 0.0437,     dice1 = 0.05692, cross1 = 0.0633, kl1 = 0.0069, exclusion1 = 0.0468
1.2199728
Epoch: [ 63] [3550/4000] time: 37251.2339, net0_loss = 0.16623, net0_acc = 0.9716, net0_test_acc = 0.8807,     net1_loss = 0.06662, net1_acc = 0.9900, net1_test_acc = 0.9836
Epoch: [ 63] [3550/4000] time: 37251.2340, dice0 = 0.06140, cross0 = 0.0769, kl0 = 0.0072, exclusion0 = 0.0486,     dice1 = 0.02720, cross1 = 0.0247, kl1 = 0.0021, exclusion1 = 0.0273
1.2364384
Epoch: [ 63] [3600/4000] time: 37258.6656, net0_loss = 0.05455, net0_acc = 0.9915, net0_test_acc = 0.9430,     net1_loss = 0.11840, net1_acc = 0.9822, net1_test_acc = 0.9018
Epoch: [ 63] [3600/4000] time: 37258.6657, dice0 = 0.02217, cross0 = 0.0198, kl0 = 0.0019, exclusion0 = 0.0232,     dice1 = 0.04116, cross1 = 0.0574, kl1 = 0.0062, exclusion1 = 0.0334
1.1889747
Epoch: [ 63] [3650/4000] time: 37266.0912, net0_loss = 0.08061, net0_acc = 0.9887, net0_test_acc = 0.8840,     net1_loss = 0.20170, net1_acc = 0.9629, net1_test_acc = 0.8983
Epoch: [ 63] [3650/4000] time: 37266.0914, dice0 = 0.03132, cross0 = 0.0292, kl0 = 0.0066, exclusion0 = 0.0336,     dice1 = 0.07234, cross1 = 0.1118, kl1 = 0.0023, exclusion1 = 0.0328
1.169745
Epoch: [ 63] [3700/4000] time: 37273.4625, net0_loss = 0.07809, net0_acc = 0.9878, net0_test_acc = 0.9010,     net1_loss = 0.09050, net1_acc = 0.9858, net1_test_acc = 0.7919
Epoch: [ 63] [3700/4000] time: 37273.4627, dice0 = 0.03021, cross0 = 0.0291, kl0 = 0.0046, exclusion0 = 0.0330,     dice1 = 0.03551, cross1 = 0.0341, kl1 = 0.0040, exclusion1 = 0.0377
1.164038
Epoch: [ 63] [3750/4000] time: 37280.9022, net0_loss = 0.03156, net0_acc = 0.9963, net0_test_acc = 0.8604,     net1_loss = 0.09212, net1_acc = 0.9827, net1_test_acc = 0.9005
Epoch: [ 63] [3750/4000] time: 37280.9023, dice0 = 0.01087, cross0 = 0.0138, kl0 = 0.0017, exclusion0 = 0.0121,     dice1 = 0.03613, cross1 = 0.0432, kl1 = 0.0018, exclusion1 = 0.0237
1.2289444
Epoch: [ 63] [3800/4000] time: 37288.3669, net0_loss = 0.20299, net0_acc = 0.9689, net0_test_acc = 0.9271,     net1_loss = 0.15038, net1_acc = 0.9747, net1_test_acc = 0.9264
Epoch: [ 63] [3800/4000] time: 37288.3670, dice0 = 0.06700, cross0 = 0.1030, kl0 = 0.0121, exclusion0 = 0.0539,     dice1 = 0.05734, cross1 = 0.0681, kl1 = 0.0047, exclusion1 = 0.0451
1.1329191
Epoch: [ 63] [3850/4000] time: 37295.7912, net0_loss = 0.08335, net0_acc = 0.9893, net0_test_acc = 0.9230,     net1_loss = 0.16372, net1_acc = 0.9727, net1_test_acc = 0.9296
Epoch: [ 63] [3850/4000] time: 37295.7912, dice0 = 0.03158, cross0 = 0.0310, kl0 = 0.0062, exclusion0 = 0.0353,     dice1 = 0.05924, cross1 = 0.0806, kl1 = 0.0047, exclusion1 = 0.0431
1.2165055
Epoch: [ 63] [3900/4000] time: 37303.1772, net0_loss = 0.05351, net0_acc = 0.9929, net0_test_acc = 0.9361,     net1_loss = 0.12119, net1_acc = 0.9817, net1_test_acc = 0.9351
Epoch: [ 63] [3900/4000] time: 37303.1773, dice0 = 0.02144, cross0 = 0.0184, kl0 = 0.0025, exclusion0 = 0.0249,     dice1 = 0.04357, cross1 = 0.0525, kl1 = 0.0078, exclusion1 = 0.0426
1.1628476
Epoch: [ 63] [3950/4000] time: 37310.5894, net0_loss = 0.04902, net0_acc = 0.9937, net0_test_acc = 0.9823,     net1_loss = 0.08739, net1_acc = 0.9859, net1_test_acc = 0.9890
Epoch: [ 63] [3950/4000] time: 37310.5895, dice0 = 0.01913, cross0 = 0.0165, kl0 = 0.0032, exclusion0 = 0.0236,     dice1 = 0.03418, cross1 = 0.0327, kl1 = 0.0046, exclusion1 = 0.0365
1.0678682
Epoch: [ 64] [  0/4000] time: 37317.9666, net0_loss = 0.13519, net0_acc = 0.9772, net0_test_acc = 0.9612,     net1_loss = 0.21091, net1_acc = 0.9666, net1_test_acc = 0.9576
Epoch: [ 64] [  0/4000] time: 37317.9666, dice0 = 0.04949, cross0 = 0.0670, kl0 = 0.0033, exclusion0 = 0.0340,     dice1 = 0.07497, cross1 = 0.0880, kl1 = 0.0178, exclusion1 = 0.0781
1.0793884
Epoch: [ 64] [ 50/4000] time: 37325.4060, net0_loss = 0.16776, net0_acc = 0.9730, net0_test_acc = 0.9771,     net1_loss = 0.16722, net1_acc = 0.9721, net1_test_acc = 0.9203
Epoch: [ 64] [ 50/4000] time: 37325.4060, dice0 = 0.05999, cross0 = 0.0767, kl0 = 0.0104, exclusion0 = 0.0517,     dice1 = 0.05920, cross1 = 0.0849, kl1 = 0.0061, exclusion1 = 0.0402
1.1208687
Epoch: [ 64] [100/4000] time: 37332.7899, net0_loss = 0.12598, net0_acc = 0.9783, net0_test_acc = 0.8686,     net1_loss = 0.13845, net1_acc = 0.9774, net1_test_acc = 0.9874
Epoch: [ 64] [100/4000] time: 37332.7899, dice0 = 0.04808, cross0 = 0.0598, kl0 = 0.0027, exclusion0 = 0.0334,     dice1 = 0.05539, cross1 = 0.0515, kl1 = 0.0062, exclusion1 = 0.0569
1.062603
Epoch: [ 64] [150/4000] time: 37340.2442, net0_loss = 0.29756, net0_acc = 0.9479, net0_test_acc = 0.9300,     net1_loss = 0.05146, net1_acc = 0.9936, net1_test_acc = 0.9909
Epoch: [ 64] [150/4000] time: 37340.2443, dice0 = 0.10952, cross0 = 0.1435, kl0 = 0.0092, exclusion0 = 0.0798,     dice1 = 0.02007, cross1 = 0.0167, kl1 = 0.0035, exclusion1 = 0.0258
1.0888145
Epoch: [ 64] [200/4000] time: 37347.6723, net0_loss = 0.10175, net0_acc = 0.9836, net0_test_acc = 0.9117,     net1_loss = 0.11469, net1_acc = 0.9830, net1_test_acc = 0.9106
Epoch: [ 64] [200/4000] time: 37347.6724, dice0 = 0.03975, cross0 = 0.0373, kl0 = 0.0074, exclusion0 = 0.0420,     dice1 = 0.04626, cross1 = 0.0411, kl1 = 0.0046, exclusion1 = 0.0500
1.148418
Epoch: [ 64] [250/4000] time: 37355.1207, net0_loss = 0.19672, net0_acc = 0.9685, net0_test_acc = 0.9685,     net1_loss = 0.20526, net1_acc = 0.9687, net1_test_acc = 0.9604
Epoch: [ 64] [250/4000] time: 37355.1207, dice0 = 0.07303, cross0 = 0.0829, kl0 = 0.0106, exclusion0 = 0.0710,     dice1 = 0.08038, cross1 = 0.0746, kl1 = 0.0122, exclusion1 = 0.0885
1.2529203
Epoch: [ 64] [300/4000] time: 37362.5171, net0_loss = 0.08653, net0_acc = 0.9873, net0_test_acc = 0.7444,     net1_loss = 0.10957, net1_acc = 0.9842, net1_test_acc = 0.8998
Epoch: [ 64] [300/4000] time: 37362.5172, dice0 = 0.03244, cross0 = 0.0359, kl0 = 0.0050, exclusion0 = 0.0314,     dice1 = 0.04114, cross1 = 0.0385, kl1 = 0.0080, exclusion1 = 0.0519
1.1135466
Epoch: [ 64] [350/4000] time: 37369.9083, net0_loss = 0.15771, net0_acc = 0.9730, net0_test_acc = 0.8381,     net1_loss = 0.09191, net1_acc = 0.9877, net1_test_acc = 0.8270
Epoch: [ 64] [350/4000] time: 37369.9084, dice0 = 0.06112, cross0 = 0.0614, kl0 = 0.0103, exclusion0 = 0.0601,     dice1 = 0.03751, cross1 = 0.0316, kl1 = 0.0048, exclusion1 = 0.0408
1.0837171
Epoch: [ 64] [400/4000] time: 37377.3458, net0_loss = 0.13663, net0_acc = 0.9775, net0_test_acc = 0.9837,     net1_loss = 0.12934, net1_acc = 0.9798, net1_test_acc = 0.9706
Epoch: [ 64] [400/4000] time: 37377.3459, dice0 = 0.05385, cross0 = 0.0540, kl0 = 0.0066, exclusion0 = 0.0509,     dice1 = 0.04902, cross1 = 0.0582, kl1 = 0.0039, exclusion1 = 0.0403
1.0678314
Epoch: [ 64] [450/4000] time: 37384.7689, net0_loss = 0.27347, net0_acc = 0.9526, net0_test_acc = 0.9330,     net1_loss = 0.21305, net1_acc = 0.9635, net1_test_acc = 0.9412
Epoch: [ 64] [450/4000] time: 37384.7690, dice0 = 0.10190, cross0 = 0.1186, kl0 = 0.0149, exclusion0 = 0.0911,     dice1 = 0.08116, cross1 = 0.0940, kl1 = 0.0088, exclusion1 = 0.0670
1.1313175
Epoch: [ 64] [500/4000] time: 37392.1641, net0_loss = 0.25189, net0_acc = 0.9656, net0_test_acc = 0.9510,     net1_loss = 0.14293, net1_acc = 0.9743, net1_test_acc = 0.9810
Epoch: [ 64] [500/4000] time: 37392.1643, dice0 = 0.07308, cross0 = 0.1185, kl0 = 0.0319, exclusion0 = 0.0888,     dice1 = 0.05267, cross1 = 0.0739, kl1 = 0.0019, exclusion1 = 0.0308
1.1815686
Epoch: [ 64] [550/4000] time: 37399.5258, net0_loss = 0.13914, net0_acc = 0.9793, net0_test_acc = 0.9103,     net1_loss = 0.18468, net1_acc = 0.9700, net1_test_acc = 0.9742
Epoch: [ 64] [550/4000] time: 37399.5258, dice0 = 0.04799, cross0 = 0.0704, kl0 = 0.0055, exclusion0 = 0.0361,     dice1 = 0.06868, cross1 = 0.0741, kl1 = 0.0126, exclusion1 = 0.0711
1.035999
Epoch: [ 64] [600/4000] time: 37406.9408, net0_loss = 0.22441, net0_acc = 0.9638, net0_test_acc = 0.9479,     net1_loss = 0.16227, net1_acc = 0.9717, net1_test_acc = 0.9301
Epoch: [ 64] [600/4000] time: 37406.9408, dice0 = 0.08522, cross0 = 0.0876, kl0 = 0.0135, exclusion0 = 0.0898,     dice1 = 0.06114, cross1 = 0.0705, kl1 = 0.0078, exclusion1 = 0.0533
1.124052
Epoch: [ 64] [650/4000] time: 37414.2901, net0_loss = 0.08830, net0_acc = 0.9865, net0_test_acc = 0.9445,     net1_loss = 0.05197, net1_acc = 0.9929, net1_test_acc = 0.9270
Epoch: [ 64] [650/4000] time: 37414.2901, dice0 = 0.03302, cross0 = 0.0361, kl0 = 0.0046, exclusion0 = 0.0338,     dice1 = 0.02127, cross1 = 0.0185, kl1 = 0.0023, exclusion1 = 0.0221
1.2156248
Epoch: [ 64] [700/4000] time: 37421.7706, net0_loss = 0.13743, net0_acc = 0.9766, net0_test_acc = 0.9732,     net1_loss = 0.20223, net1_acc = 0.9667, net1_test_acc = 0.9223
Epoch: [ 64] [700/4000] time: 37421.7707, dice0 = 0.05274, cross0 = 0.0547, kl0 = 0.0071, exclusion0 = 0.0528,     dice1 = 0.07928, cross1 = 0.0829, kl1 = 0.0084, exclusion1 = 0.0716
1.0427976
Epoch: [ 64] [750/4000] time: 37429.1667, net0_loss = 0.08542, net0_acc = 0.9871, net0_test_acc = 0.7451,     net1_loss = 0.10570, net1_acc = 0.9810, net1_test_acc = 0.9444
Epoch: [ 64] [750/4000] time: 37429.1668, dice0 = 0.03310, cross0 = 0.0311, kl0 = 0.0046, exclusion0 = 0.0377,     dice1 = 0.04285, cross1 = 0.0454, kl1 = 0.0030, exclusion1 = 0.0319
1.141048
Epoch: [ 64] [800/4000] time: 37436.5482, net0_loss = 0.21716, net0_acc = 0.9698, net0_test_acc = 0.9171,     net1_loss = 0.22415, net1_acc = 0.9595, net1_test_acc = 0.8209
Epoch: [ 64] [800/4000] time: 37436.5483, dice0 = 0.07733, cross0 = 0.0805, kl0 = 0.0196, exclusion0 = 0.0990,     dice1 = 0.08258, cross1 = 0.1139, kl1 = 0.0054, exclusion1 = 0.0499
1.0660387
Epoch: [ 64] [850/4000] time: 37444.0137, net0_loss = 0.08819, net0_acc = 0.9859, net0_test_acc = 0.8937,     net1_loss = 0.09427, net1_acc = 0.9855, net1_test_acc = 0.9618
Epoch: [ 64] [850/4000] time: 37444.0138, dice0 = 0.03441, cross0 = 0.0373, kl0 = 0.0027, exclusion0 = 0.0302,     dice1 = 0.03723, cross1 = 0.0353, kl1 = 0.0048, exclusion1 = 0.0387
1.0953357
Epoch: [ 64] [900/4000] time: 37451.4315, net0_loss = 0.05251, net0_acc = 0.9919, net0_test_acc = 0.9170,     net1_loss = 0.07680, net1_acc = 0.9881, net1_test_acc = 0.9793
Epoch: [ 64] [900/4000] time: 37451.4316, dice0 = 0.02143, cross0 = 0.0191, kl0 = 0.0017, exclusion0 = 0.0223,     dice1 = 0.03074, cross1 = 0.0315, kl1 = 0.0019, exclusion1 = 0.0273
1.2165223
Epoch: [ 64] [950/4000] time: 37458.8261, net0_loss = 0.19646, net0_acc = 0.9718, net0_test_acc = 0.9152,     net1_loss = 0.02936, net1_acc = 0.9975, net1_test_acc = 0.9587
Epoch: [ 64] [950/4000] time: 37458.8261, dice0 = 0.06931, cross0 = 0.0732, kl0 = 0.0194, exclusion0 = 0.0885,     dice1 = 0.01143, cross1 = 0.0079, kl1 = 0.0028, exclusion1 = 0.0172
1.2385406
Epoch: [ 64] [1000/4000] time: 37466.2903, net0_loss = 0.10663, net0_acc = 0.9861, net0_test_acc = 0.9554,     net1_loss = 0.11354, net1_acc = 0.9818, net1_test_acc = 0.8999
Epoch: [ 64] [1000/4000] time: 37466.2904, dice0 = 0.04030, cross0 = 0.0391, kl0 = 0.0082, exclusion0 = 0.0462,     dice1 = 0.04082, cross1 = 0.0485, kl1 = 0.0084, exclusion1 = 0.0400
1.1710346
Epoch: [ 64] [1050/4000] time: 37473.6649, net0_loss = 0.14415, net0_acc = 0.9786, net0_test_acc = 0.7497,     net1_loss = 0.19061, net1_acc = 0.9717, net1_test_acc = 0.8118
Epoch: [ 64] [1050/4000] time: 37473.6650, dice0 = 0.05629, cross0 = 0.0520, kl0 = 0.0108, exclusion0 = 0.0608,     dice1 = 0.06102, cross1 = 0.1027, kl1 = 0.0089, exclusion1 = 0.0448
1.311492
Epoch: [ 64] [1100/4000] time: 37481.0793, net0_loss = 0.18865, net0_acc = 0.9690, net0_test_acc = 0.8165,     net1_loss = 0.08134, net1_acc = 0.9877, net1_test_acc = 0.8172
Epoch: [ 64] [1100/4000] time: 37481.0794, dice0 = 0.06619, cross0 = 0.0912, kl0 = 0.0088, exclusion0 = 0.0538,     dice1 = 0.03043, cross1 = 0.0365, kl1 = 0.0038, exclusion1 = 0.0251
1.1626583
Epoch: [ 64] [1150/4000] time: 37488.4459, net0_loss = 0.08419, net0_acc = 0.9865, net0_test_acc = 0.9773,     net1_loss = 0.08783, net1_acc = 0.9866, net1_test_acc = 0.9438
Epoch: [ 64] [1150/4000] time: 37488.4460, dice0 = 0.03421, cross0 = 0.0306, kl0 = 0.0033, exclusion0 = 0.0355,     dice1 = 0.03202, cross1 = 0.0372, kl1 = 0.0059, exclusion1 = 0.0313
1.0926843
Epoch: [ 64] [1200/4000] time: 37495.8753, net0_loss = 0.16585, net0_acc = 0.9698, net0_test_acc = 0.9902,     net1_loss = 0.09281, net1_acc = 0.9850, net1_test_acc = 0.9543
Epoch: [ 64] [1200/4000] time: 37495.8754, dice0 = 0.06157, cross0 = 0.0843, kl0 = 0.0037, exclusion0 = 0.0362,     dice1 = 0.03629, cross1 = 0.0343, kl1 = 0.0063, exclusion1 = 0.0380
1.0619203
Epoch: [ 64] [1250/4000] time: 37503.3052, net0_loss = 0.33789, net0_acc = 0.9424, net0_test_acc = 0.9478,     net1_loss = 0.10222, net1_acc = 0.9843, net1_test_acc = 0.7863
Epoch: [ 64] [1250/4000] time: 37503.3053, dice0 = 0.11950, cross0 = 0.1653, kl0 = 0.0159, exclusion0 = 0.0902,     dice1 = 0.03912, cross1 = 0.0429, kl1 = 0.0042, exclusion1 = 0.0361
1.3003124
Epoch: [ 64] [1300/4000] time: 37510.7161, net0_loss = 0.16825, net0_acc = 0.9749, net0_test_acc = 0.9793,     net1_loss = 0.08653, net1_acc = 0.9864, net1_test_acc = 0.8889
Epoch: [ 64] [1300/4000] time: 37510.7161, dice0 = 0.05915, cross0 = 0.0664, kl0 = 0.0179, exclusion0 = 0.0675,     dice1 = 0.03322, cross1 = 0.0361, kl1 = 0.0035, exclusion1 = 0.0309
1.1463388
Epoch: [ 64] [1350/4000] time: 37518.1167, net0_loss = 0.07552, net0_acc = 0.9872, net0_test_acc = 0.9167,     net1_loss = 0.11459, net1_acc = 0.9805, net1_test_acc = 0.9664
Epoch: [ 64] [1350/4000] time: 37518.1168, dice0 = 0.03028, cross0 = 0.0322, kl0 = 0.0017, exclusion0 = 0.0244,     dice1 = 0.04512, cross1 = 0.0467, kl1 = 0.0038, exclusion1 = 0.0417
1.1886641
Epoch: [ 64] [1400/4000] time: 37525.5726, net0_loss = 0.12141, net0_acc = 0.9798, net0_test_acc = 0.9448,     net1_loss = 0.10718, net1_acc = 0.9811, net1_test_acc = 0.9810
Epoch: [ 64] [1400/4000] time: 37525.5726, dice0 = 0.04631, cross0 = 0.0551, kl0 = 0.0038, exclusion0 = 0.0363,     dice1 = 0.04160, cross1 = 0.0491, kl1 = 0.0024, exclusion1 = 0.0305
1.113616
Epoch: [ 64] [1450/4000] time: 37532.9530, net0_loss = 0.18933, net0_acc = 0.9678, net0_test_acc = 0.8629,     net1_loss = 0.22654, net1_acc = 0.9644, net1_test_acc = 0.9526
Epoch: [ 64] [1450/4000] time: 37532.9530, dice0 = 0.07418, cross0 = 0.0792, kl0 = 0.0081, exclusion0 = 0.0639,     dice1 = 0.07535, cross1 = 0.1133, kl1 = 0.0146, exclusion1 = 0.0613
1.1257402
Epoch: [ 64] [1500/4000] time: 37540.3363, net0_loss = 0.05571, net0_acc = 0.9925, net0_test_acc = 0.9034,     net1_loss = 0.10367, net1_acc = 0.9859, net1_test_acc = 0.9602
Epoch: [ 64] [1500/4000] time: 37540.3363, dice0 = 0.01971, cross0 = 0.0221, kl0 = 0.0039, exclusion0 = 0.0238,     dice1 = 0.03392, cross1 = 0.0530, kl1 = 0.0058, exclusion1 = 0.0277
1.2019508
Epoch: [ 64] [1550/4000] time: 37547.7533, net0_loss = 0.09093, net0_acc = 0.9872, net0_test_acc = 0.9689,     net1_loss = 0.14539, net1_acc = 0.9767, net1_test_acc = 0.9399
Epoch: [ 64] [1550/4000] time: 37547.7534, dice0 = 0.03416, cross0 = 0.0385, kl0 = 0.0031, exclusion0 = 0.0335,     dice1 = 0.05691, cross1 = 0.0571, kl1 = 0.0073, exclusion1 = 0.0554
1.1186869
Epoch: [ 64] [1600/4000] time: 37555.1659, net0_loss = 0.07326, net0_acc = 0.9888, net0_test_acc = 0.9079,     net1_loss = 0.13287, net1_acc = 0.9779, net1_test_acc = 0.9712
Epoch: [ 64] [1600/4000] time: 37555.1660, dice0 = 0.02859, cross0 = 0.0269, kl0 = 0.0040, exclusion0 = 0.0316,     dice1 = 0.05024, cross1 = 0.0592, kl1 = 0.0050, exclusion1 = 0.0419
1.246198
Epoch: [ 64] [1650/4000] time: 37562.4335, net0_loss = 0.07667, net0_acc = 0.9877, net0_test_acc = 0.9832,     net1_loss = 0.07577, net1_acc = 0.9890, net1_test_acc = 0.9547
Epoch: [ 64] [1650/4000] time: 37562.4335, dice0 = 0.03157, cross0 = 0.0288, kl0 = 0.0016, exclusion0 = 0.0311,     dice1 = 0.03131, cross1 = 0.0252, kl1 = 0.0026, exclusion1 = 0.0358
1.1851778
Epoch: [ 64] [1700/4000] time: 37570.0124, net0_loss = 0.20514, net0_acc = 0.9635, net0_test_acc = 0.7436,     net1_loss = 0.06516, net1_acc = 0.9892, net1_test_acc = 0.9207
Epoch: [ 64] [1700/4000] time: 37570.0125, dice0 = 0.07652, cross0 = 0.0979, kl0 = 0.0085, exclusion0 = 0.0529,     dice1 = 0.02539, cross1 = 0.0288, kl1 = 0.0018, exclusion1 = 0.0201
1.2388879
Epoch: [ 64] [1750/4000] time: 37577.4296, net0_loss = 0.03778, net0_acc = 0.9942, net0_test_acc = 0.9461,     net1_loss = 0.51697, net1_acc = 0.9099, net1_test_acc = 0.9414
Epoch: [ 64] [1750/4000] time: 37577.4297, dice0 = 0.01421, cross0 = 0.0151, kl0 = 0.0023, exclusion0 = 0.0146,     dice1 = 0.17334, cross1 = 0.2588, kl1 = 0.0380, exclusion1 = 0.1317
1.11275
Epoch: [ 64] [1800/4000] time: 37584.8623, net0_loss = 0.18254, net0_acc = 0.9751, net0_test_acc = 0.9271,     net1_loss = 0.12761, net1_acc = 0.9782, net1_test_acc = 0.9394
Epoch: [ 64] [1800/4000] time: 37584.8623, dice0 = 0.06590, cross0 = 0.0759, kl0 = 0.0097, exclusion0 = 0.0718,     dice1 = 0.04928, cross1 = 0.0585, kl1 = 0.0026, exclusion1 = 0.0370
1.1949394
Epoch: [ 64] [1850/4000] time: 37592.2415, net0_loss = 0.05083, net0_acc = 0.9933, net0_test_acc = 0.9352,     net1_loss = 0.08373, net1_acc = 0.9851, net1_test_acc = 0.9221
Epoch: [ 64] [1850/4000] time: 37592.2415, dice0 = 0.02027, cross0 = 0.0167, kl0 = 0.0022, exclusion0 = 0.0255,     dice1 = 0.03291, cross1 = 0.0386, kl1 = 0.0019, exclusion1 = 0.0225
1.1576667
Epoch: [ 64] [1900/4000] time: 37599.6450, net0_loss = 0.11157, net0_acc = 0.9814, net0_test_acc = 0.8019,     net1_loss = 0.06971, net1_acc = 0.9918, net1_test_acc = 0.9123
Epoch: [ 64] [1900/4000] time: 37599.6451, dice0 = 0.04289, cross0 = 0.0474, kl0 = 0.0045, exclusion0 = 0.0382,     dice1 = 0.02668, cross1 = 0.0218, kl1 = 0.0083, exclusion1 = 0.0341
1.1865872
Epoch: [ 64] [1950/4000] time: 37607.0635, net0_loss = 0.14035, net0_acc = 0.9796, net0_test_acc = 0.9009,     net1_loss = 0.06570, net1_acc = 0.9889, net1_test_acc = 0.9324
Epoch: [ 64] [1950/4000] time: 37607.0636, dice0 = 0.05649, cross0 = 0.0476, kl0 = 0.0053, exclusion0 = 0.0673,     dice1 = 0.02528, cross1 = 0.0292, kl1 = 0.0024, exclusion1 = 0.0201
1.1816294
Epoch: [ 64] [2000/4000] time: 37614.4538, net0_loss = 0.10254, net0_acc = 0.9828, net0_test_acc = 0.9573,     net1_loss = 0.04167, net1_acc = 0.9944, net1_test_acc = 0.9329
Epoch: [ 64] [2000/4000] time: 37614.4539, dice0 = 0.04174, cross0 = 0.0392, kl0 = 0.0040, exclusion0 = 0.0391,     dice1 = 0.01650, cross1 = 0.0135, kl1 = 0.0032, exclusion1 = 0.0201
1.2434069
Epoch: [ 64] [2050/4000] time: 37621.9040, net0_loss = 0.09471, net0_acc = 0.9857, net0_test_acc = 0.8190,     net1_loss = 0.16830, net1_acc = 0.9736, net1_test_acc = 0.9341
Epoch: [ 64] [2050/4000] time: 37621.9040, dice0 = 0.03662, cross0 = 0.0359, kl0 = 0.0042, exclusion0 = 0.0401,     dice1 = 0.05844, cross1 = 0.0838, kl1 = 0.0066, exclusion1 = 0.0455
1.161428
Epoch: [ 64] [2100/4000] time: 37629.2838, net0_loss = 0.16594, net0_acc = 0.9713, net0_test_acc = 0.9660,     net1_loss = 0.14584, net1_acc = 0.9764, net1_test_acc = 0.9587
Epoch: [ 64] [2100/4000] time: 37629.2839, dice0 = 0.06390, cross0 = 0.0694, kl0 = 0.0083, exclusion0 = 0.0570,     dice1 = 0.05368, cross1 = 0.0604, kl1 = 0.0116, exclusion1 = 0.0519
1.0722449
Epoch: [ 64] [2150/4000] time: 37636.6377, net0_loss = 0.08342, net0_acc = 0.9875, net0_test_acc = 0.9493,     net1_loss = 0.14697, net1_acc = 0.9781, net1_test_acc = 0.9901
Epoch: [ 64] [2150/4000] time: 37636.6378, dice0 = 0.03315, cross0 = 0.0302, kl0 = 0.0037, exclusion0 = 0.0364,     dice1 = 0.05461, cross1 = 0.0535, kl1 = 0.0115, exclusion1 = 0.0662
1.1416069
Epoch: [ 64] [2200/4000] time: 37644.0659, net0_loss = 0.13294, net0_acc = 0.9772, net0_test_acc = 0.9608,     net1_loss = 0.06345, net1_acc = 0.9888, net1_test_acc = 0.8928
Epoch: [ 64] [2200/4000] time: 37644.0660, dice0 = 0.05222, cross0 = 0.0531, kl0 = 0.0057, exclusion0 = 0.0495,     dice1 = 0.02562, cross1 = 0.0256, kl1 = 0.0018, exclusion1 = 0.0227
1.1826715
Epoch: [ 64] [2250/4000] time: 37651.5431, net0_loss = 0.29096, net0_acc = 0.9560, net0_test_acc = 0.8758,     net1_loss = 0.14258, net1_acc = 0.9772, net1_test_acc = 0.9104
Epoch: [ 64] [2250/4000] time: 37651.5432, dice0 = 0.09208, cross0 = 0.1630, kl0 = 0.0109, exclusion0 = 0.0609,     dice1 = 0.05542, cross1 = 0.0535, kl1 = 0.0085, exclusion1 = 0.0587
1.2240634
Epoch: [ 64] [2300/4000] time: 37658.9723, net0_loss = 0.10289, net0_acc = 0.9812, net0_test_acc = 0.8190,     net1_loss = 0.10023, net1_acc = 0.9836, net1_test_acc = 0.9651
Epoch: [ 64] [2300/4000] time: 37658.9723, dice0 = 0.03953, cross0 = 0.0500, kl0 = 0.0018, exclusion0 = 0.0249,     dice1 = 0.04014, cross1 = 0.0370, kl1 = 0.0051, exclusion1 = 0.0410
1.177387
Epoch: [ 64] [2350/4000] time: 37666.3517, net0_loss = 0.08441, net0_acc = 0.9873, net0_test_acc = 0.9804,     net1_loss = 0.21913, net1_acc = 0.9670, net1_test_acc = 0.8692
Epoch: [ 64] [2350/4000] time: 37666.3517, dice0 = 0.03353, cross0 = 0.0285, kl0 = 0.0062, exclusion0 = 0.0384,     dice1 = 0.07241, cross1 = 0.1023, kl1 = 0.0169, exclusion1 = 0.0718
1.2626554
Epoch: [ 64] [2400/4000] time: 37673.8294, net0_loss = 0.13914, net0_acc = 0.9783, net0_test_acc = 0.9537,     net1_loss = 0.08404, net1_acc = 0.9879, net1_test_acc = 0.9670
Epoch: [ 64] [2400/4000] time: 37673.8295, dice0 = 0.04805, cross0 = 0.0577, kl0 = 0.0152, exclusion0 = 0.0516,     dice1 = 0.03429, cross1 = 0.0301, kl1 = 0.0032, exclusion1 = 0.0362
1.1721373
Epoch: [ 64] [2450/4000] time: 37681.2165, net0_loss = 0.16570, net0_acc = 0.9730, net0_test_acc = 0.9058,     net1_loss = 0.14029, net1_acc = 0.9740, net1_test_acc = 0.9284
Epoch: [ 64] [2450/4000] time: 37681.2165, dice0 = 0.06240, cross0 = 0.0665, kl0 = 0.0129, exclusion0 = 0.0607,     dice1 = 0.05440, cross1 = 0.0678, kl1 = 0.0028, exclusion1 = 0.0334
1.1480716
Epoch: [ 64] [2500/4000] time: 37688.6595, net0_loss = 0.08386, net0_acc = 0.9871, net0_test_acc = 0.9546,     net1_loss = 0.10966, net1_acc = 0.9819, net1_test_acc = 0.8890
Epoch: [ 64] [2500/4000] time: 37688.6596, dice0 = 0.03328, cross0 = 0.0313, kl0 = 0.0035, exclusion0 = 0.0350,     dice1 = 0.04391, cross1 = 0.0437, kl1 = 0.0040, exclusion1 = 0.0402
1.2169452
Epoch: [ 64] [2550/4000] time: 37696.0696, net0_loss = 0.24851, net0_acc = 0.9643, net0_test_acc = 0.9687,     net1_loss = 0.14431, net1_acc = 0.9773, net1_test_acc = 0.9484
Epoch: [ 64] [2550/4000] time: 37696.0696, dice0 = 0.09318, cross0 = 0.0844, kl0 = 0.0192, exclusion0 = 0.1226,     dice1 = 0.05471, cross1 = 0.0590, kl1 = 0.0074, exclusion1 = 0.0538
1.1239812
Epoch: [ 64] [2600/4000] time: 37703.4832, net0_loss = 0.20936, net0_acc = 0.9702, net0_test_acc = 0.9334,     net1_loss = 0.12835, net1_acc = 0.9793, net1_test_acc = 0.9429
Epoch: [ 64] [2600/4000] time: 37703.4832, dice0 = 0.07726, cross0 = 0.0744, kl0 = 0.0242, exclusion0 = 0.0912,     dice1 = 0.05041, cross1 = 0.0498, kl1 = 0.0070, exclusion1 = 0.0492
1.1912197
Epoch: [ 64] [2650/4000] time: 37710.9592, net0_loss = 0.15576, net0_acc = 0.9770, net0_test_acc = 0.9379,     net1_loss = 0.14482, net1_acc = 0.9758, net1_test_acc = 0.7762
Epoch: [ 64] [2650/4000] time: 37710.9593, dice0 = 0.05953, cross0 = 0.0558, kl0 = 0.0107, exclusion0 = 0.0702,     dice1 = 0.05168, cross1 = 0.0651, kl1 = 0.0090, exclusion1 = 0.0471
1.164419
Epoch: [ 64] [2700/4000] time: 37718.3174, net0_loss = 0.17992, net0_acc = 0.9698, net0_test_acc = 0.8210,     net1_loss = 0.05002, net1_acc = 0.9932, net1_test_acc = 0.9009
Epoch: [ 64] [2700/4000] time: 37718.3175, dice0 = 0.07007, cross0 = 0.0776, kl0 = 0.0052, exclusion0 = 0.0594,     dice1 = 0.01992, cross1 = 0.0158, kl1 = 0.0027, exclusion1 = 0.0259
1.1613609
Epoch: [ 64] [2750/4000] time: 37725.7180, net0_loss = 0.12244, net0_acc = 0.9808, net0_test_acc = 0.9130,     net1_loss = 0.10815, net1_acc = 0.9816, net1_test_acc = 0.8214
Epoch: [ 64] [2750/4000] time: 37725.7180, dice0 = 0.04820, cross0 = 0.0455, kl0 = 0.0058, exclusion0 = 0.0516,     dice1 = 0.04373, cross1 = 0.0416, kl1 = 0.0044, exclusion1 = 0.0412
1.2028068
Epoch: [ 64] [2800/4000] time: 37733.1178, net0_loss = 0.02944, net0_acc = 0.9964, net0_test_acc = 0.9290,     net1_loss = 0.07340, net1_acc = 0.9877, net1_test_acc = 0.9437
Epoch: [ 64] [2800/4000] time: 37733.1179, dice0 = 0.01119, cross0 = 0.0101, kl0 = 0.0018, exclusion0 = 0.0145,     dice1 = 0.03023, cross1 = 0.0292, kl1 = 0.0026, exclusion1 = 0.0254
1.2816364
Epoch: [ 64] [2850/4000] time: 37740.5638, net0_loss = 0.14243, net0_acc = 0.9756, net0_test_acc = 0.9227,     net1_loss = 0.13785, net1_acc = 0.9773, net1_test_acc = 0.9409
Epoch: [ 64] [2850/4000] time: 37740.5640, dice0 = 0.05702, cross0 = 0.0585, kl0 = 0.0040, exclusion0 = 0.0497,     dice1 = 0.05254, cross1 = 0.0585, kl1 = 0.0065, exclusion1 = 0.0471
1.1244543
Epoch: [ 64] [2900/4000] time: 37747.9807, net0_loss = 0.11252, net0_acc = 0.9850, net0_test_acc = 0.9728,     net1_loss = 0.18606, net1_acc = 0.9681, net1_test_acc = 0.9356
Epoch: [ 64] [2900/4000] time: 37747.9808, dice0 = 0.04485, cross0 = 0.0373, kl0 = 0.0062, exclusion0 = 0.0545,     dice1 = 0.07181, cross1 = 0.0774, kl1 = 0.0094, exclusion1 = 0.0642
1.1355909
Epoch: [ 64] [2950/4000] time: 37755.4070, net0_loss = 0.06490, net0_acc = 0.9895, net0_test_acc = 0.9406,     net1_loss = 0.20245, net1_acc = 0.9685, net1_test_acc = 0.8758
Epoch: [ 64] [2950/4000] time: 37755.4070, dice0 = 0.02631, cross0 = 0.0236, kl0 = 0.0026, exclusion0 = 0.0274,     dice1 = 0.06579, cross1 = 0.1015, kl1 = 0.0164, exclusion1 = 0.0540
1.2783731
Epoch: [ 64] [3000/4000] time: 37762.8315, net0_loss = 0.09216, net0_acc = 0.9854, net0_test_acc = 0.9538,     net1_loss = 0.09900, net1_acc = 0.9844, net1_test_acc = 0.9810
Epoch: [ 64] [3000/4000] time: 37762.8315, dice0 = 0.03579, cross0 = 0.0390, kl0 = 0.0026, exclusion0 = 0.0322,     dice1 = 0.03711, cross1 = 0.0410, kl1 = 0.0064, exclusion1 = 0.0353
1.1294225
Epoch: [ 64] [3050/4000] time: 37770.1738, net0_loss = 0.10285, net0_acc = 0.9852, net0_test_acc = 0.8745,     net1_loss = 0.17811, net1_acc = 0.9722, net1_test_acc = 0.8462
Epoch: [ 64] [3050/4000] time: 37770.1738, dice0 = 0.04189, cross0 = 0.0364, kl0 = 0.0027, exclusion0 = 0.0464,     dice1 = 0.06600, cross1 = 0.0714, kl1 = 0.0120, exclusion1 = 0.0694
1.1454694
Epoch: [ 64] [3100/4000] time: 37777.5784, net0_loss = 0.06363, net0_acc = 0.9907, net0_test_acc = 0.9211,     net1_loss = 0.08065, net1_acc = 0.9882, net1_test_acc = 0.9171
Epoch: [ 64] [3100/4000] time: 37777.5785, dice0 = 0.02538, cross0 = 0.0208, kl0 = 0.0036, exclusion0 = 0.0313,     dice1 = 0.03248, cross1 = 0.0302, kl1 = 0.0026, exclusion1 = 0.0332
1.2005997
Epoch: [ 64] [3150/4000] time: 37784.9715, net0_loss = 0.08894, net0_acc = 0.9871, net0_test_acc = 0.9543,     net1_loss = 0.16043, net1_acc = 0.9723, net1_test_acc = 0.9461
Epoch: [ 64] [3150/4000] time: 37784.9716, dice0 = 0.03489, cross0 = 0.0342, kl0 = 0.0039, exclusion0 = 0.0358,     dice1 = 0.05975, cross1 = 0.0757, kl1 = 0.0047, exclusion1 = 0.0452
1.073942
Epoch: [ 64] [3200/4000] time: 37792.3834, net0_loss = 0.13019, net0_acc = 0.9779, net0_test_acc = 0.9334,     net1_loss = 0.20524, net1_acc = 0.9667, net1_test_acc = 0.9906
Epoch: [ 64] [3200/4000] time: 37792.3835, dice0 = 0.04963, cross0 = 0.0551, kl0 = 0.0066, exclusion0 = 0.0444,     dice1 = 0.07723, cross1 = 0.0918, kl1 = 0.0067, exclusion1 = 0.0658
1.1778442
Epoch: [ 64] [3250/4000] time: 37799.7862, net0_loss = 0.10212, net0_acc = 0.9857, net0_test_acc = 0.9394,     net1_loss = 0.14903, net1_acc = 0.9757, net1_test_acc = 0.7997
Epoch: [ 64] [3250/4000] time: 37799.7862, dice0 = 0.03731, cross0 = 0.0340, kl0 = 0.0098, exclusion0 = 0.0518,     dice1 = 0.05479, cross1 = 0.0607, kl1 = 0.0100, exclusion1 = 0.0572
1.1551291
Epoch: [ 64] [3300/4000] time: 37807.1785, net0_loss = 0.10164, net0_acc = 0.9839, net0_test_acc = 0.8783,     net1_loss = 0.05029, net1_acc = 0.9922, net1_test_acc = 0.9841
Epoch: [ 64] [3300/4000] time: 37807.1785, dice0 = 0.03485, cross0 = 0.0504, kl0 = 0.0056, exclusion0 = 0.0273,     dice1 = 0.01988, cross1 = 0.0208, kl1 = 0.0013, exclusion1 = 0.0179
1.2369323
Epoch: [ 64] [3350/4000] time: 37814.5781, net0_loss = 0.19780, net0_acc = 0.9652, net0_test_acc = 0.9394,     net1_loss = 0.23729, net1_acc = 0.9593, net1_test_acc = 0.9050
Epoch: [ 64] [3350/4000] time: 37814.5782, dice0 = 0.07339, cross0 = 0.0921, kl0 = 0.0083, exclusion0 = 0.0564,     dice1 = 0.08948, cross1 = 0.0977, kl1 = 0.0146, exclusion1 = 0.0855
1.1092707
Epoch: [ 64] [3400/4000] time: 37822.0079, net0_loss = 0.08474, net0_acc = 0.9877, net0_test_acc = 0.8713,     net1_loss = 0.23668, net1_acc = 0.9621, net1_test_acc = 0.8977
Epoch: [ 64] [3400/4000] time: 37822.0080, dice0 = 0.03407, cross0 = 0.0295, kl0 = 0.0038, exclusion0 = 0.0385,     dice1 = 0.08613, cross1 = 0.1076, kl1 = 0.0112, exclusion1 = 0.0747
1.2030075
Epoch: [ 64] [3450/4000] time: 37829.4279, net0_loss = 0.14691, net0_acc = 0.9732, net0_test_acc = 0.9145,     net1_loss = 0.07162, net1_acc = 0.9896, net1_test_acc = 0.8087
Epoch: [ 64] [3450/4000] time: 37829.4280, dice0 = 0.05575, cross0 = 0.0724, kl0 = 0.0031, exclusion0 = 0.0345,     dice1 = 0.02765, cross1 = 0.0227, kl1 = 0.0060, exclusion1 = 0.0365
1.1696303
Epoch: [ 64] [3500/4000] time: 37836.8552, net0_loss = 0.11455, net0_acc = 0.9808, net0_test_acc = 0.8991,     net1_loss = 0.05854, net1_acc = 0.9917, net1_test_acc = 0.8932
Epoch: [ 64] [3500/4000] time: 37836.8552, dice0 = 0.04185, cross0 = 0.0525, kl0 = 0.0052, exclusion0 = 0.0352,     dice1 = 0.02285, cross1 = 0.0204, kl1 = 0.0033, exclusion1 = 0.0272
1.1570939
Epoch: [ 64] [3550/4000] time: 37844.2334, net0_loss = 0.19646, net0_acc = 0.9685, net0_test_acc = 0.9320,     net1_loss = 0.09664, net1_acc = 0.9855, net1_test_acc = 0.9244
Epoch: [ 64] [3550/4000] time: 37844.2335, dice0 = 0.07300, cross0 = 0.0775, kl0 = 0.0146, exclusion0 = 0.0774,     dice1 = 0.03683, cross1 = 0.0392, kl1 = 0.0046, exclusion1 = 0.0367
1.0787817
Epoch: [ 64] [3600/4000] time: 37851.6585, net0_loss = 0.06953, net0_acc = 0.9904, net0_test_acc = 0.8956,     net1_loss = 0.11321, net1_acc = 0.9827, net1_test_acc = 0.9366
Epoch: [ 64] [3600/4000] time: 37851.6586, dice0 = 0.02527, cross0 = 0.0225, kl0 = 0.0073, exclusion0 = 0.0362,     dice1 = 0.04592, cross1 = 0.0409, kl1 = 0.0037, exclusion1 = 0.0490
1.1544073
Epoch: [ 64] [3650/4000] time: 37859.0325, net0_loss = 0.10330, net0_acc = 0.9835, net0_test_acc = 0.9297,     net1_loss = 0.11624, net1_acc = 0.9814, net1_test_acc = 0.9570
Epoch: [ 64] [3650/4000] time: 37859.0326, dice0 = 0.03995, cross0 = 0.0401, kl0 = 0.0063, exclusion0 = 0.0403,     dice1 = 0.04645, cross1 = 0.0429, kl1 = 0.0055, exclusion1 = 0.0482
1.2007709
Epoch: [ 64] [3700/4000] time: 37866.4445, net0_loss = 0.07956, net0_acc = 0.9885, net0_test_acc = 0.9836,     net1_loss = 0.18079, net1_acc = 0.9710, net1_test_acc = 0.9889
Epoch: [ 64] [3700/4000] time: 37866.4446, dice0 = 0.03151, cross0 = 0.0270, kl0 = 0.0057, exclusion0 = 0.0365,     dice1 = 0.06537, cross1 = 0.0758, kl1 = 0.0124, exclusion1 = 0.0668
1.0555692
Epoch: [ 64] [3750/4000] time: 37873.8278, net0_loss = 0.21628, net0_acc = 0.9646, net0_test_acc = 0.9645,     net1_loss = 0.06419, net1_acc = 0.9896, net1_test_acc = 0.9589
Epoch: [ 64] [3750/4000] time: 37873.8279, dice0 = 0.07998, cross0 = 0.0929, kl0 = 0.0119, exclusion0 = 0.0749,     dice1 = 0.02462, cross1 = 0.0275, kl1 = 0.0021, exclusion1 = 0.0220
1.139004
Epoch: [ 64] [3800/4000] time: 37881.2593, net0_loss = 0.12860, net0_acc = 0.9791, net0_test_acc = 0.9750,     net1_loss = 0.18456, net1_acc = 0.9724, net1_test_acc = 0.9171
Epoch: [ 64] [3800/4000] time: 37881.2595, dice0 = 0.04646, cross0 = 0.0619, kl0 = 0.0056, exclusion0 = 0.0348,     dice1 = 0.06937, cross1 = 0.0659, kl1 = 0.0173, exclusion1 = 0.0813
1.2178023
Epoch: [ 64] [3850/4000] time: 37888.6915, net0_loss = 0.20256, net0_acc = 0.9653, net0_test_acc = 0.8722,     net1_loss = 0.23926, net1_acc = 0.9591, net1_test_acc = 0.9874
Epoch: [ 64] [3850/4000] time: 37888.6916, dice0 = 0.07554, cross0 = 0.0964, kl0 = 0.0046, exclusion0 = 0.0567,     dice1 = 0.08412, cross1 = 0.1285, kl1 = 0.0044, exclusion1 = 0.0489
1.2708423
Epoch: [ 64] [3900/4000] time: 37896.1203, net0_loss = 0.10420, net0_acc = 0.9832, net0_test_acc = 0.9177,     net1_loss = 0.15269, net1_acc = 0.9751, net1_test_acc = 0.9897
Epoch: [ 64] [3900/4000] time: 37896.1204, dice0 = 0.03993, cross0 = 0.0459, kl0 = 0.0030, exclusion0 = 0.0338,     dice1 = 0.05574, cross1 = 0.0693, kl1 = 0.0065, exclusion1 = 0.0488
1.0840589
Epoch: [ 64] [3950/4000] time: 37903.4959, net0_loss = 0.08961, net0_acc = 0.9865, net0_test_acc = 0.8980,     net1_loss = 0.06128, net1_acc = 0.9904, net1_test_acc = 0.9035
Epoch: [ 64] [3950/4000] time: 37903.4960, dice0 = 0.03416, cross0 = 0.0333, kl0 = 0.0057, exclusion0 = 0.0386,     dice1 = 0.02315, cross1 = 0.0269, kl1 = 0.0022, exclusion1 = 0.0201
1.1561656
Epoch: [ 65] [  0/4000] time: 37910.9020, net0_loss = 0.10770, net0_acc = 0.9829, net0_test_acc = 0.9649,     net1_loss = 0.04234, net1_acc = 0.9940, net1_test_acc = 0.9621
Epoch: [ 65] [  0/4000] time: 37910.9021, dice0 = 0.04222, cross0 = 0.0433, kl0 = 0.0043, exclusion0 = 0.0400,     dice1 = 0.01679, cross1 = 0.0156, kl1 = 0.0019, exclusion1 = 0.0180
1.1337297
Epoch: [ 65] [ 50/4000] time: 37918.2948, net0_loss = 0.17877, net0_acc = 0.9734, net0_test_acc = 0.7398,     net1_loss = 0.18816, net1_acc = 0.9683, net1_test_acc = 0.8937
Epoch: [ 65] [ 50/4000] time: 37918.2949, dice0 = 0.06521, cross0 = 0.0661, kl0 = 0.0154, exclusion0 = 0.0795,     dice1 = 0.07237, cross1 = 0.0764, kl1 = 0.0097, exclusion1 = 0.0692
1.1516788
Epoch: [ 65] [100/4000] time: 37925.7651, net0_loss = 0.05543, net0_acc = 0.9933, net0_test_acc = 0.8363,     net1_loss = 0.22075, net1_acc = 0.9648, net1_test_acc = 0.8280
Epoch: [ 65] [100/4000] time: 37925.7653, dice0 = 0.02052, cross0 = 0.0188, kl0 = 0.0042, exclusion0 = 0.0281,     dice1 = 0.08210, cross1 = 0.0916, kl1 = 0.0131, exclusion1 = 0.0810
1.080346
Epoch: [ 65] [150/4000] time: 37933.2176, net0_loss = 0.09570, net0_acc = 0.9845, net0_test_acc = 0.9842,     net1_loss = 0.09689, net1_acc = 0.9845, net1_test_acc = 0.9638
Epoch: [ 65] [150/4000] time: 37933.2177, dice0 = 0.03652, cross0 = 0.0416, kl0 = 0.0038, exclusion0 = 0.0314,     dice1 = 0.03809, cross1 = 0.0377, kl1 = 0.0043, exclusion1 = 0.0379
1.1480806
Epoch: [ 65] [200/4000] time: 37940.6133, net0_loss = 0.17171, net0_acc = 0.9706, net0_test_acc = 0.9272,     net1_loss = 0.06469, net1_acc = 0.9908, net1_test_acc = 0.9496
Epoch: [ 65] [200/4000] time: 37940.6134, dice0 = 0.06302, cross0 = 0.0771, kl0 = 0.0099, exclusion0 = 0.0533,     dice1 = 0.02546, cross1 = 0.0227, kl1 = 0.0038, exclusion1 = 0.0292
1.175454
Epoch: [ 65] [250/4000] time: 37947.9998, net0_loss = 0.04512, net0_acc = 0.9931, net0_test_acc = 0.9510,     net1_loss = 0.10632, net1_acc = 0.9842, net1_test_acc = 0.9678
Epoch: [ 65] [250/4000] time: 37947.9999, dice0 = 0.01821, cross0 = 0.0161, kl0 = 0.0016, exclusion0 = 0.0199,     dice1 = 0.04330, cross1 = 0.0378, kl1 = 0.0045, exclusion1 = 0.0460
1.1254286
Epoch: [ 65] [300/4000] time: 37955.4199, net0_loss = 0.18398, net0_acc = 0.9722, net0_test_acc = 0.9033,     net1_loss = 0.10275, net1_acc = 0.9823, net1_test_acc = 0.9700
Epoch: [ 65] [300/4000] time: 37955.4200, dice0 = 0.05999, cross0 = 0.0967, kl0 = 0.0089, exclusion0 = 0.0457,     dice1 = 0.03902, cross1 = 0.0497, kl1 = 0.0022, exclusion1 = 0.0259
1.1487101
Epoch: [ 65] [350/4000] time: 37962.8604, net0_loss = 0.22129, net0_acc = 0.9637, net0_test_acc = 0.9615,     net1_loss = 0.17130, net1_acc = 0.9712, net1_test_acc = 0.9349
Epoch: [ 65] [350/4000] time: 37962.8605, dice0 = 0.08649, cross0 = 0.0876, kl0 = 0.0097, exclusion0 = 0.0848,     dice1 = 0.05816, cross1 = 0.0998, kl1 = 0.0024, exclusion1 = 0.0244
1.1416116
Epoch: [ 65] [400/4000] time: 37970.2870, net0_loss = 0.14620, net0_acc = 0.9778, net0_test_acc = 0.9541,     net1_loss = 0.12461, net1_acc = 0.9793, net1_test_acc = 0.9193
Epoch: [ 65] [400/4000] time: 37970.2870, dice0 = 0.05476, cross0 = 0.0564, kl0 = 0.0086, exclusion0 = 0.0615,     dice1 = 0.04757, cross1 = 0.0546, kl1 = 0.0044, exclusion1 = 0.0405
1.1407086
Epoch: [ 65] [450/4000] time: 37977.6853, net0_loss = 0.10391, net0_acc = 0.9832, net0_test_acc = 0.9713,     net1_loss = 0.18525, net1_acc = 0.9674, net1_test_acc = 0.9225
Epoch: [ 65] [450/4000] time: 37977.6854, dice0 = 0.03806, cross0 = 0.0386, kl0 = 0.0105, exclusion0 = 0.0440,     dice1 = 0.07032, cross1 = 0.0841, kl1 = 0.0076, exclusion1 = 0.0541
1.1535313
Epoch: [ 65] [500/4000] time: 37985.1374, net0_loss = 0.32233, net0_acc = 0.9485, net0_test_acc = 0.7323,     net1_loss = 0.05027, net1_acc = 0.9939, net1_test_acc = 0.9518
Epoch: [ 65] [500/4000] time: 37985.1375, dice0 = 0.11098, cross0 = 0.1575, kl0 = 0.0151, exclusion0 = 0.0927,     dice1 = 0.02048, cross1 = 0.0164, kl1 = 0.0022, exclusion1 = 0.0246
1.2631812
Epoch: [ 65] [550/4000] time: 37992.5576, net0_loss = 0.15590, net0_acc = 0.9745, net0_test_acc = 0.8867,     net1_loss = 0.16692, net1_acc = 0.9761, net1_test_acc = 0.8183
Epoch: [ 65] [550/4000] time: 37992.5577, dice0 = 0.05919, cross0 = 0.0648, kl0 = 0.0080, exclusion0 = 0.0558,     dice1 = 0.06374, cross1 = 0.0607, kl1 = 0.0128, exclusion1 = 0.0723
1.091485
Epoch: [ 65] [600/4000] time: 38000.0020, net0_loss = 0.07346, net0_acc = 0.9887, net0_test_acc = 0.8988,     net1_loss = 0.24179, net1_acc = 0.9603, net1_test_acc = 0.9634
Epoch: [ 65] [600/4000] time: 38000.0021, dice0 = 0.02845, cross0 = 0.0284, kl0 = 0.0043, exclusion0 = 0.0290,     dice1 = 0.08030, cross1 = 0.1267, kl1 = 0.0134, exclusion1 = 0.0562
1.2620192
Epoch: [ 65] [650/4000] time: 38007.3872, net0_loss = 0.14866, net0_acc = 0.9760, net0_test_acc = 0.9021,     net1_loss = 0.12949, net1_acc = 0.9791, net1_test_acc = 0.9768
Epoch: [ 65] [650/4000] time: 38007.3872, dice0 = 0.05232, cross0 = 0.0772, kl0 = 0.0033, exclusion0 = 0.0349,     dice1 = 0.04887, cross1 = 0.0542, kl1 = 0.0066, exclusion1 = 0.0462
1.1767522
Epoch: [ 65] [700/4000] time: 38014.8063, net0_loss = 0.06108, net0_acc = 0.9912, net0_test_acc = 0.9078,     net1_loss = 0.14130, net1_acc = 0.9770, net1_test_acc = 0.9554
Epoch: [ 65] [700/4000] time: 38014.8064, dice0 = 0.02474, cross0 = 0.0212, kl0 = 0.0028, exclusion0 = 0.0275,     dice1 = 0.05683, cross1 = 0.0544, kl1 = 0.0047, exclusion1 = 0.0554
1.1661996
Epoch: [ 65] [750/4000] time: 38022.2541, net0_loss = 0.11076, net0_acc = 0.9808, net0_test_acc = 0.9537,     net1_loss = 0.20071, net1_acc = 0.9669, net1_test_acc = 0.9183
Epoch: [ 65] [750/4000] time: 38022.2542, dice0 = 0.04355, cross0 = 0.0494, kl0 = 0.0018, exclusion0 = 0.0340,     dice1 = 0.07279, cross1 = 0.0903, kl1 = 0.0109, exclusion1 = 0.0643
1.1805627
Epoch: [ 65] [800/4000] time: 38029.6654, net0_loss = 0.05168, net0_acc = 0.9927, net0_test_acc = 0.7576,     net1_loss = 0.20035, net1_acc = 0.9669, net1_test_acc = 0.8207
Epoch: [ 65] [800/4000] time: 38029.6655, dice0 = 0.01981, cross0 = 0.0200, kl0 = 0.0026, exclusion0 = 0.0211,     dice1 = 0.07027, cross1 = 0.0903, kl1 = 0.0152, exclusion1 = 0.0643
1.2041576
Epoch: [ 65] [850/4000] time: 38037.0457, net0_loss = 0.08519, net0_acc = 0.9856, net0_test_acc = 0.8311,     net1_loss = 0.11674, net1_acc = 0.9809, net1_test_acc = 0.8226
Epoch: [ 65] [850/4000] time: 38037.0458, dice0 = 0.03283, cross0 = 0.0353, kl0 = 0.0046, exclusion0 = 0.0294,     dice1 = 0.04511, cross1 = 0.0508, kl1 = 0.0041, exclusion1 = 0.0375
1.1447555
Epoch: [ 65] [900/4000] time: 38044.4621, net0_loss = 0.28703, net0_acc = 0.9505, net0_test_acc = 0.9773,     net1_loss = 0.21322, net1_acc = 0.9650, net1_test_acc = 0.9601
Epoch: [ 65] [900/4000] time: 38044.4621, dice0 = 0.11102, cross0 = 0.1236, kl0 = 0.0096, exclusion0 = 0.0953,     dice1 = 0.07740, cross1 = 0.1044, kl1 = 0.0084, exclusion1 = 0.0544
1.1195103
Epoch: [ 65] [950/4000] time: 38051.9224, net0_loss = 0.18028, net0_acc = 0.9727, net0_test_acc = 0.9898,     net1_loss = 0.17523, net1_acc = 0.9748, net1_test_acc = 0.9487
Epoch: [ 65] [950/4000] time: 38051.9224, dice0 = 0.06479, cross0 = 0.0716, kl0 = 0.0136, exclusion0 = 0.0742,     dice1 = 0.06292, cross1 = 0.0611, kl1 = 0.0225, exclusion1 = 0.0799
1.1719686
Epoch: [ 65] [1000/4000] time: 38059.3017, net0_loss = 0.05750, net0_acc = 0.9918, net0_test_acc = 0.9470,     net1_loss = 0.22134, net1_acc = 0.9627, net1_test_acc = 0.8173
Epoch: [ 65] [1000/4000] time: 38059.3018, dice0 = 0.02307, cross0 = 0.0194, kl0 = 0.0026, exclusion0 = 0.0275,     dice1 = 0.08508, cross1 = 0.0885, kl1 = 0.0105, exclusion1 = 0.0850
1.1510755
Epoch: [ 65] [1050/4000] time: 38066.7585, net0_loss = 0.09647, net0_acc = 0.9857, net0_test_acc = 0.9804,     net1_loss = 0.11711, net1_acc = 0.9828, net1_test_acc = 0.9009
Epoch: [ 65] [1050/4000] time: 38066.7585, dice0 = 0.03829, cross0 = 0.0330, kl0 = 0.0041, exclusion0 = 0.0463,     dice1 = 0.04641, cross1 = 0.0430, kl1 = 0.0071, exclusion1 = 0.0482
1.0785247
Epoch: [ 65] [1100/4000] time: 38074.2136, net0_loss = 0.14789, net0_acc = 0.9767, net0_test_acc = 0.9358,     net1_loss = 0.23312, net1_acc = 0.9597, net1_test_acc = 0.9639
Epoch: [ 65] [1100/4000] time: 38074.2137, dice0 = 0.04930, cross0 = 0.0788, kl0 = 0.0066, exclusion0 = 0.0330,     dice1 = 0.08333, cross1 = 0.1203, kl1 = 0.0058, exclusion1 = 0.0532
1.1229632
Epoch: [ 65] [1150/4000] time: 38081.5786, net0_loss = 0.09543, net0_acc = 0.9844, net0_test_acc = 0.9426,     net1_loss = 0.14616, net1_acc = 0.9756, net1_test_acc = 0.9788
Epoch: [ 65] [1150/4000] time: 38081.5787, dice0 = 0.03740, cross0 = 0.0395, kl0 = 0.0024, exclusion0 = 0.0347,     dice1 = 0.05494, cross1 = 0.0700, kl1 = 0.0037, exclusion1 = 0.0388
1.1110604
Epoch: [ 65] [1200/4000] time: 38088.9500, net0_loss = 0.11718, net0_acc = 0.9814, net0_test_acc = 0.8914,     net1_loss = 0.35030, net1_acc = 0.9446, net1_test_acc = 0.9538
Epoch: [ 65] [1200/4000] time: 38088.9501, dice0 = 0.04771, cross0 = 0.0448, kl0 = 0.0031, exclusion0 = 0.0463,     dice1 = 0.11201, cross1 = 0.1941, kl1 = 0.0153, exclusion1 = 0.0731
1.2082351
Epoch: [ 65] [1250/4000] time: 38096.4127, net0_loss = 0.26708, net0_acc = 0.9554, net0_test_acc = 0.9085,     net1_loss = 0.21630, net1_acc = 0.9640, net1_test_acc = 0.9655
Epoch: [ 65] [1250/4000] time: 38096.4128, dice0 = 0.10031, cross0 = 0.1152, kl0 = 0.0119, exclusion0 = 0.0913,     dice1 = 0.07935, cross1 = 0.1024, kl1 = 0.0085, exclusion1 = 0.0605
1.1698191
Epoch: [ 65] [1300/4000] time: 38103.7901, net0_loss = 0.16267, net0_acc = 0.9713, net0_test_acc = 0.9698,     net1_loss = 0.16689, net1_acc = 0.9724, net1_test_acc = 0.9494
Epoch: [ 65] [1300/4000] time: 38103.7902, dice0 = 0.06170, cross0 = 0.0782, kl0 = 0.0038, exclusion0 = 0.0418,     dice1 = 0.06296, cross1 = 0.0729, kl1 = 0.0067, exclusion1 = 0.0554
1.158325
Epoch: [ 65] [1350/4000] time: 38111.2368, net0_loss = 0.09857, net0_acc = 0.9863, net0_test_acc = 0.9124,     net1_loss = 0.26413, net1_acc = 0.9580, net1_test_acc = 0.9625
Epoch: [ 65] [1350/4000] time: 38111.2369, dice0 = 0.03885, cross0 = 0.0329, kl0 = 0.0068, exclusion0 = 0.0468,     dice1 = 0.09560, cross1 = 0.1193, kl1 = 0.0121, exclusion1 = 0.0864
1.1486629
Epoch: [ 65] [1400/4000] time: 38118.6883, net0_loss = 0.10255, net0_acc = 0.9857, net0_test_acc = 0.9820,     net1_loss = 0.18705, net1_acc = 0.9726, net1_test_acc = 0.9536
Epoch: [ 65] [1400/4000] time: 38118.6884, dice0 = 0.04031, cross0 = 0.0363, kl0 = 0.0055, exclusion0 = 0.0463,     dice1 = 0.06817, cross1 = 0.0692, kl1 = 0.0160, exclusion1 = 0.0833
1.2118047
Epoch: [ 65] [1450/4000] time: 38126.1103, net0_loss = 0.11247, net0_acc = 0.9815, net0_test_acc = 0.7384,     net1_loss = 0.07990, net1_acc = 0.9901, net1_test_acc = 0.9067
Epoch: [ 65] [1450/4000] time: 38126.1103, dice0 = 0.04315, cross0 = 0.0441, kl0 = 0.0071, exclusion0 = 0.0435,     dice1 = 0.02874, cross1 = 0.0268, kl1 = 0.0084, exclusion1 = 0.0403
1.0896876
Epoch: [ 65] [1500/4000] time: 38133.5304, net0_loss = 0.17330, net0_acc = 0.9736, net0_test_acc = 0.9510,     net1_loss = 0.15360, net1_acc = 0.9782, net1_test_acc = 0.9401
Epoch: [ 65] [1500/4000] time: 38133.5305, dice0 = 0.05804, cross0 = 0.0946, kl0 = 0.0052, exclusion0 = 0.0362,     dice1 = 0.05776, cross1 = 0.0559, kl1 = 0.0112, exclusion1 = 0.0687
1.1856083
Epoch: [ 65] [1550/4000] time: 38140.9494, net0_loss = 0.08170, net0_acc = 0.9857, net0_test_acc = 0.9290,     net1_loss = 0.06537, net1_acc = 0.9893, net1_test_acc = 0.9541
Epoch: [ 65] [1550/4000] time: 38140.9494, dice0 = 0.03239, cross0 = 0.0363, kl0 = 0.0022, exclusion0 = 0.0238,     dice1 = 0.02532, cross1 = 0.0310, kl1 = 0.0013, exclusion1 = 0.0169
1.2789197
Epoch: [ 65] [1600/4000] time: 38148.3573, net0_loss = 0.07137, net0_acc = 0.9894, net0_test_acc = 0.9409,     net1_loss = 0.17250, net1_acc = 0.9702, net1_test_acc = 0.9408
Epoch: [ 65] [1600/4000] time: 38148.3574, dice0 = 0.02819, cross0 = 0.0285, kl0 = 0.0020, exclusion0 = 0.0272,     dice1 = 0.06552, cross1 = 0.0783, kl1 = 0.0074, exclusion1 = 0.0500
1.0780766
Epoch: [ 65] [1650/4000] time: 38155.8018, net0_loss = 0.09693, net0_acc = 0.9830, net0_test_acc = 0.8001,     net1_loss = 0.13456, net1_acc = 0.9792, net1_test_acc = 0.9346
Epoch: [ 65] [1650/4000] time: 38155.8019, dice0 = 0.03766, cross0 = 0.0415, kl0 = 0.0037, exclusion0 = 0.0319,     dice1 = 0.05331, cross1 = 0.0514, kl1 = 0.0064, exclusion1 = 0.0532
1.1393925
Epoch: [ 65] [1700/4000] time: 38163.1916, net0_loss = 0.03802, net0_acc = 0.9957, net0_test_acc = 0.9063,     net1_loss = 0.17844, net1_acc = 0.9698, net1_test_acc = 0.9415
Epoch: [ 65] [1700/4000] time: 38163.1916, dice0 = 0.01406, cross0 = 0.0112, kl0 = 0.0043, exclusion0 = 0.0213,     dice1 = 0.06301, cross1 = 0.0832, kl1 = 0.0129, exclusion1 = 0.0515
1.1752919
Epoch: [ 65] [1750/4000] time: 38170.5804, net0_loss = 0.12068, net0_acc = 0.9807, net0_test_acc = 0.9429,     net1_loss = 0.37447, net1_acc = 0.9343, net1_test_acc = 0.9459
Epoch: [ 65] [1750/4000] time: 38170.5805, dice0 = 0.04444, cross0 = 0.0478, kl0 = 0.0086, exclusion0 = 0.0482,     dice1 = 0.12831, cross1 = 0.2048, kl1 = 0.0098, exclusion1 = 0.0730
1.175775
Epoch: [ 65] [1800/4000] time: 38177.9835, net0_loss = 0.09339, net0_acc = 0.9855, net0_test_acc = 0.8352,     net1_loss = 0.19773, net1_acc = 0.9666, net1_test_acc = 0.9278
Epoch: [ 65] [1800/4000] time: 38177.9836, dice0 = 0.03764, cross0 = 0.0338, kl0 = 0.0046, exclusion0 = 0.0394,     dice1 = 0.07609, cross1 = 0.0864, kl1 = 0.0058, exclusion1 = 0.0646
1.1244038
Epoch: [ 65] [1850/4000] time: 38185.3860, net0_loss = 0.05309, net0_acc = 0.9922, net0_test_acc = 0.9677,     net1_loss = 0.15433, net1_acc = 0.9812, net1_test_acc = 0.9458
Epoch: [ 65] [1850/4000] time: 38185.3860, dice0 = 0.02207, cross0 = 0.0189, kl0 = 0.0016, exclusion0 = 0.0226,     dice1 = 0.05788, cross1 = 0.0526, kl1 = 0.0139, exclusion1 = 0.0739
1.2476883
Epoch: [ 65] [1900/4000] time: 38192.8351, net0_loss = 0.12339, net0_acc = 0.9810, net0_test_acc = 0.9538,     net1_loss = 0.05370, net1_acc = 0.9938, net1_test_acc = 0.9892
Epoch: [ 65] [1900/4000] time: 38192.8352, dice0 = 0.04754, cross0 = 0.0511, kl0 = 0.0051, exclusion0 = 0.0445,     dice1 = 0.02191, cross1 = 0.0162, kl1 = 0.0017, exclusion1 = 0.0294
1.0605775
Epoch: [ 65] [1950/4000] time: 38200.2668, net0_loss = 0.24536, net0_acc = 0.9633, net0_test_acc = 0.9592,     net1_loss = 0.15617, net1_acc = 0.9749, net1_test_acc = 0.9036
Epoch: [ 65] [1950/4000] time: 38200.2669, dice0 = 0.08592, cross0 = 0.1044, kl0 = 0.0189, exclusion0 = 0.0912,     dice1 = 0.05780, cross1 = 0.0571, kl1 = 0.0157, exclusion1 = 0.0669
1.2054211
Epoch: [ 65] [2000/4000] time: 38207.6028, net0_loss = 0.25899, net0_acc = 0.9563, net0_test_acc = 0.8772,     net1_loss = 0.24873, net1_acc = 0.9569, net1_test_acc = 0.9136
Epoch: [ 65] [2000/4000] time: 38207.6028, dice0 = 0.09254, cross0 = 0.1283, kl0 = 0.0107, exclusion0 = 0.0657,     dice1 = 0.08343, cross1 = 0.1389, kl1 = 0.0081, exclusion1 = 0.0446
1.3906984
Epoch: [ 65] [2050/4000] time: 38215.0889, net0_loss = 0.05211, net0_acc = 0.9928, net0_test_acc = 0.8359,     net1_loss = 0.14493, net1_acc = 0.9795, net1_test_acc = 0.9719
Epoch: [ 65] [2050/4000] time: 38215.0890, dice0 = 0.02155, cross0 = 0.0174, kl0 = 0.0017, exclusion0 = 0.0246,     dice1 = 0.05332, cross1 = 0.0510, kl1 = 0.0169, exclusion1 = 0.0643
1.1846157
Epoch: [ 65] [2100/4000] time: 38222.5301, net0_loss = 0.18562, net0_acc = 0.9714, net0_test_acc = 0.9807,     net1_loss = 0.10197, net1_acc = 0.9826, net1_test_acc = 0.9149
Epoch: [ 65] [2100/4000] time: 38222.5302, dice0 = 0.07381, cross0 = 0.0694, kl0 = 0.0060, exclusion0 = 0.0788,     dice1 = 0.04028, cross1 = 0.0433, kl1 = 0.0037, exclusion1 = 0.0330
1.215778
Epoch: [ 65] [2150/4000] time: 38229.8995, net0_loss = 0.11263, net0_acc = 0.9843, net0_test_acc = 0.9412,     net1_loss = 0.12819, net1_acc = 0.9809, net1_test_acc = 0.9642
Epoch: [ 65] [2150/4000] time: 38229.8996, dice0 = 0.04404, cross0 = 0.0377, kl0 = 0.0065, exclusion0 = 0.0554,     dice1 = 0.05064, cross1 = 0.0474, kl1 = 0.0065, exclusion1 = 0.0539
1.0435044
Epoch: [ 65] [2200/4000] time: 38237.3510, net0_loss = 0.03164, net0_acc = 0.9962, net0_test_acc = 0.9089,     net1_loss = 0.08892, net1_acc = 0.9872, net1_test_acc = 0.9192
Epoch: [ 65] [2200/4000] time: 38237.3511, dice0 = 0.01194, cross0 = 0.0094, kl0 = 0.0025, exclusion0 = 0.0181,     dice1 = 0.03433, cross1 = 0.0296, kl1 = 0.0072, exclusion1 = 0.0427
1.1693138
Epoch: [ 65] [2250/4000] time: 38244.7041, net0_loss = 0.21898, net0_acc = 0.9648, net0_test_acc = 0.9497,     net1_loss = 0.13758, net1_acc = 0.9775, net1_test_acc = 0.8885
Epoch: [ 65] [2250/4000] time: 38244.7041, dice0 = 0.07301, cross0 = 0.1214, kl0 = 0.0061, exclusion0 = 0.0430,     dice1 = 0.05446, cross1 = 0.0553, kl1 = 0.0048, exclusion1 = 0.0508
1.1456466
Epoch: [ 65] [2300/4000] time: 38252.1329, net0_loss = 0.10986, net0_acc = 0.9827, net0_test_acc = 0.9673,     net1_loss = 0.08313, net1_acc = 0.9852, net1_test_acc = 0.9591
Epoch: [ 65] [2300/4000] time: 38252.1329, dice0 = 0.04163, cross0 = 0.0473, kl0 = 0.0037, exclusion0 = 0.0382,     dice1 = 0.03259, cross1 = 0.0378, kl1 = 0.0024, exclusion1 = 0.0230
1.2564824
Epoch: [ 65] [2350/4000] time: 38259.5003, net0_loss = 0.26649, net0_acc = 0.9571, net0_test_acc = 0.9413,     net1_loss = 0.13558, net1_acc = 0.9759, net1_test_acc = 0.9539
Epoch: [ 65] [2350/4000] time: 38259.5003, dice0 = 0.09386, cross0 = 0.1211, kl0 = 0.0192, exclusion0 = 0.0839,     dice1 = 0.05358, cross1 = 0.0603, kl1 = 0.0027, exclusion1 = 0.0407
1.1293823
Epoch: [ 65] [2400/4000] time: 38266.9792, net0_loss = 0.14405, net0_acc = 0.9784, net0_test_acc = 0.9434,     net1_loss = 0.07613, net1_acc = 0.9875, net1_test_acc = 0.7793
Epoch: [ 65] [2400/4000] time: 38266.9793, dice0 = 0.05179, cross0 = 0.0540, kl0 = 0.0135, exclusion0 = 0.0629,     dice1 = 0.02914, cross1 = 0.0312, kl1 = 0.0036, exclusion1 = 0.0280
1.2849715
Epoch: [ 65] [2450/4000] time: 38274.3925, net0_loss = 0.14097, net0_acc = 0.9785, net0_test_acc = 0.8581,     net1_loss = 0.15880, net1_acc = 0.9713, net1_test_acc = 0.9005
Epoch: [ 65] [2450/4000] time: 38274.3926, dice0 = 0.05703, cross0 = 0.0515, kl0 = 0.0049, exclusion0 = 0.0600,     dice1 = 0.05832, cross1 = 0.0827, kl1 = 0.0024, exclusion1 = 0.0332
1.1168325
Epoch: [ 65] [2500/4000] time: 38281.7544, net0_loss = 0.11260, net0_acc = 0.9816, net0_test_acc = 0.9120,     net1_loss = 0.09244, net1_acc = 0.9841, net1_test_acc = 0.7958
Epoch: [ 65] [2500/4000] time: 38281.7544, dice0 = 0.03942, cross0 = 0.0567, kl0 = 0.0042, exclusion0 = 0.0288,     dice1 = 0.03490, cross1 = 0.0448, kl1 = 0.0021, exclusion1 = 0.0233
1.1490161
Epoch: [ 65] [2550/4000] time: 38289.2334, net0_loss = 0.16404, net0_acc = 0.9734, net0_test_acc = 0.9220,     net1_loss = 0.16885, net1_acc = 0.9738, net1_test_acc = 0.9284
Epoch: [ 65] [2550/4000] time: 38289.2335, dice0 = 0.05739, cross0 = 0.0697, kl0 = 0.0148, exclusion0 = 0.0591,     dice1 = 0.06219, cross1 = 0.0765, kl1 = 0.0070, exclusion1 = 0.0533
1.1175323
Epoch: [ 65] [2600/4000] time: 38296.6474, net0_loss = 0.08688, net0_acc = 0.9864, net0_test_acc = 0.9177,     net1_loss = 0.05467, net1_acc = 0.9919, net1_test_acc = 0.9268
Epoch: [ 65] [2600/4000] time: 38296.6476, dice0 = 0.03361, cross0 = 0.0352, kl0 = 0.0049, exclusion0 = 0.0312,     dice1 = 0.02114, cross1 = 0.0222, kl1 = 0.0025, exclusion1 = 0.0201
1.2937653
Epoch: [ 65] [2650/4000] time: 38304.0882, net0_loss = 0.12540, net0_acc = 0.9821, net0_test_acc = 0.9726,     net1_loss = 0.07882, net1_acc = 0.9862, net1_test_acc = 0.9221
Epoch: [ 65] [2650/4000] time: 38304.0883, dice0 = 0.04795, cross0 = 0.0444, kl0 = 0.0078, exclusion0 = 0.0582,     dice1 = 0.03005, cross1 = 0.0380, kl1 = 0.0022, exclusion1 = 0.0193
1.1820796
Epoch: [ 65] [2700/4000] time: 38311.5040, net0_loss = 0.21789, net0_acc = 0.9677, net0_test_acc = 0.9277,     net1_loss = 0.14124, net1_acc = 0.9778, net1_test_acc = 0.8645
Epoch: [ 65] [2700/4000] time: 38311.5041, dice0 = 0.07128, cross0 = 0.0910, kl0 = 0.0245, exclusion0 = 0.0867,     dice1 = 0.05301, cross1 = 0.0579, kl1 = 0.0088, exclusion1 = 0.0520
1.1700497
Epoch: [ 65] [2750/4000] time: 38318.8923, net0_loss = 0.10268, net0_acc = 0.9827, net0_test_acc = 0.9570,     net1_loss = 0.21146, net1_acc = 0.9685, net1_test_acc = 0.9831
Epoch: [ 65] [2750/4000] time: 38318.8924, dice0 = 0.03865, cross0 = 0.0477, kl0 = 0.0029, exclusion0 = 0.0298,     dice1 = 0.07785, cross1 = 0.0738, kl1 = 0.0199, exclusion1 = 0.0997
1.1696782
Epoch: [ 65] [2800/4000] time: 38326.2652, net0_loss = 0.15758, net0_acc = 0.9708, net0_test_acc = 0.8702,     net1_loss = 0.13812, net1_acc = 0.9784, net1_test_acc = 0.8674
Epoch: [ 65] [2800/4000] time: 38326.2653, dice0 = 0.06058, cross0 = 0.0744, kl0 = 0.0041, exclusion0 = 0.0412,     dice1 = 0.05331, cross1 = 0.0541, kl1 = 0.0097, exclusion1 = 0.0516
1.0991439
Epoch: [ 65] [2850/4000] time: 38333.7121, net0_loss = 0.15635, net0_acc = 0.9747, net0_test_acc = 0.9257,     net1_loss = 0.10629, net1_acc = 0.9854, net1_test_acc = 0.9197
Epoch: [ 65] [2850/4000] time: 38333.7122, dice0 = 0.06122, cross0 = 0.0636, kl0 = 0.0055, exclusion0 = 0.0577,     dice1 = 0.03517, cross1 = 0.0326, kl1 = 0.0190, exclusion1 = 0.0582
1.2096502
Epoch: [ 65] [2900/4000] time: 38341.1252, net0_loss = 0.21672, net0_acc = 0.9643, net0_test_acc = 0.9458,     net1_loss = 0.10155, net1_acc = 0.9820, net1_test_acc = 0.9489
Epoch: [ 65] [2900/4000] time: 38341.1253, dice0 = 0.07854, cross0 = 0.1035, kl0 = 0.0070, exclusion0 = 0.0624,     dice1 = 0.03931, cross1 = 0.0439, kl1 = 0.0043, exclusion1 = 0.0324
1.2109283
Epoch: [ 65] [2950/4000] time: 38348.5371, net0_loss = 0.08307, net0_acc = 0.9881, net0_test_acc = 0.9247,     net1_loss = 0.06290, net1_acc = 0.9919, net1_test_acc = 0.9894
Epoch: [ 65] [2950/4000] time: 38348.5372, dice0 = 0.03176, cross0 = 0.0282, kl0 = 0.0068, exclusion0 = 0.0395,     dice1 = 0.02386, cross1 = 0.0208, kl1 = 0.0052, exclusion1 = 0.0312
1.123118
Epoch: [ 65] [3000/4000] time: 38355.9409, net0_loss = 0.13259, net0_acc = 0.9791, net0_test_acc = 0.9519,     net1_loss = 0.08076, net1_acc = 0.9856, net1_test_acc = 0.7988
Epoch: [ 65] [3000/4000] time: 38355.9410, dice0 = 0.04809, cross0 = 0.0548, kl0 = 0.0100, exclusion0 = 0.0494,     dice1 = 0.03276, cross1 = 0.0327, kl1 = 0.0019, exclusion1 = 0.0286
1.1248082
Epoch: [ 65] [3050/4000] time: 38363.3334, net0_loss = 0.08164, net0_acc = 0.9887, net0_test_acc = 0.8757,     net1_loss = 0.18914, net1_acc = 0.9732, net1_test_acc = 0.9828
Epoch: [ 65] [3050/4000] time: 38363.3335, dice0 = 0.03075, cross0 = 0.0253, kl0 = 0.0079, exclusion0 = 0.0434,     dice1 = 0.05513, cross1 = 0.1173, kl1 = 0.0034, exclusion1 = 0.0300
1.1252774
Epoch: [ 65] [3100/4000] time: 38370.7737, net0_loss = 0.10710, net0_acc = 0.9820, net0_test_acc = 0.9283,     net1_loss = 0.09307, net1_acc = 0.9852, net1_test_acc = 0.9022
Epoch: [ 65] [3100/4000] time: 38370.7737, dice0 = 0.04220, cross0 = 0.0451, kl0 = 0.0039, exclusion0 = 0.0357,     dice1 = 0.03666, cross1 = 0.0331, kl1 = 0.0052, exclusion1 = 0.0414
1.1538638
Epoch: [ 65] [3150/4000] time: 38378.2035, net0_loss = 0.10480, net0_acc = 0.9834, net0_test_acc = 0.8624,     net1_loss = 0.06183, net1_acc = 0.9899, net1_test_acc = 0.9051
Epoch: [ 65] [3150/4000] time: 38378.2036, dice0 = 0.04016, cross0 = 0.0364, kl0 = 0.0085, exclusion0 = 0.0479,     dice1 = 0.02393, cross1 = 0.0267, kl1 = 0.0028, exclusion1 = 0.0195
1.1913973
Epoch: [ 65] [3200/4000] time: 38385.6071, net0_loss = 0.18211, net0_acc = 0.9713, net0_test_acc = 0.9285,     net1_loss = 0.12843, net1_acc = 0.9784, net1_test_acc = 0.7891
Epoch: [ 65] [3200/4000] time: 38385.6072, dice0 = 0.06393, cross0 = 0.0787, kl0 = 0.0133, exclusion0 = 0.0657,     dice1 = 0.04971, cross1 = 0.0570, kl1 = 0.0027, exclusion1 = 0.0407
1.2186692
Epoch: [ 65] [3250/4000] time: 38392.9445, net0_loss = 0.13335, net0_acc = 0.9788, net0_test_acc = 0.8959,     net1_loss = 0.15720, net1_acc = 0.9738, net1_test_acc = 0.9106
Epoch: [ 65] [3250/4000] time: 38392.9446, dice0 = 0.04872, cross0 = 0.0630, kl0 = 0.0047, exclusion0 = 0.0385,     dice1 = 0.05885, cross1 = 0.0651, kl1 = 0.0099, exclusion1 = 0.0566
1.239836
Epoch: [ 65] [3300/4000] time: 38400.3967, net0_loss = 0.09208, net0_acc = 0.9850, net0_test_acc = 0.9298,     net1_loss = 0.07256, net1_acc = 0.9898, net1_test_acc = 0.9249
Epoch: [ 65] [3300/4000] time: 38400.3968, dice0 = 0.03487, cross0 = 0.0364, kl0 = 0.0055, exclusion0 = 0.0360,     dice1 = 0.02800, cross1 = 0.0245, kl1 = 0.0059, exclusion1 = 0.0342
1.5201633
Epoch: [ 65] [3350/4000] time: 38407.8550, net0_loss = 0.20909, net0_acc = 0.9653, net0_test_acc = 0.8995,     net1_loss = 0.12308, net1_acc = 0.9794, net1_test_acc = 0.9128
Epoch: [ 65] [3350/4000] time: 38407.8551, dice0 = 0.07548, cross0 = 0.0960, kl0 = 0.0118, exclusion0 = 0.0633,     dice1 = 0.04558, cross1 = 0.0568, kl1 = 0.0056, exclusion1 = 0.0357
1.3911674
Epoch: [ 65] [3400/4000] time: 38415.2622, net0_loss = 0.11292, net0_acc = 0.9815, net0_test_acc = 0.9457,     net1_loss = 0.18663, net1_acc = 0.9673, net1_test_acc = 0.9529
Epoch: [ 65] [3400/4000] time: 38415.2623, dice0 = 0.04082, cross0 = 0.0537, kl0 = 0.0045, exclusion0 = 0.0324,     dice1 = 0.06827, cross1 = 0.0805, kl1 = 0.0142, exclusion1 = 0.0616
1.3082051
Epoch: [ 65] [3450/4000] time: 38422.6097, net0_loss = 0.08908, net0_acc = 0.9862, net0_test_acc = 0.9816,     net1_loss = 0.13932, net1_acc = 0.9738, net1_test_acc = 0.9893
Epoch: [ 65] [3450/4000] time: 38422.6098, dice0 = 0.03592, cross0 = 0.0345, kl0 = 0.0022, exclusion0 = 0.0350,     dice1 = 0.05431, cross1 = 0.0675, kl1 = 0.0029, exclusion1 = 0.0320
1.1651914
Epoch: [ 65] [3500/4000] time: 38430.0728, net0_loss = 0.19118, net0_acc = 0.9723, net0_test_acc = 0.9668,     net1_loss = 0.19879, net1_acc = 0.9665, net1_test_acc = 0.9584
Epoch: [ 65] [3500/4000] time: 38430.0730, dice0 = 0.06771, cross0 = 0.0848, kl0 = 0.0095, exclusion0 = 0.0679,     dice1 = 0.06969, cross1 = 0.0863, kl1 = 0.0171, exclusion1 = 0.0685
1.2324702
Epoch: [ 65] [3550/4000] time: 38437.5401, net0_loss = 0.16257, net0_acc = 0.9710, net0_test_acc = 0.9766,     net1_loss = 0.08440, net1_acc = 0.9862, net1_test_acc = 0.9224
Epoch: [ 65] [3550/4000] time: 38437.5402, dice0 = 0.06097, cross0 = 0.0778, kl0 = 0.0045, exclusion0 = 0.0431,     dice1 = 0.03196, cross1 = 0.0358, kl1 = 0.0046, exclusion1 = 0.0288
1.2234367
Epoch: [ 65] [3600/4000] time: 38444.8982, net0_loss = 0.11418, net0_acc = 0.9816, net0_test_acc = 0.8691,     net1_loss = 0.17518, net1_acc = 0.9718, net1_test_acc = 0.9765
Epoch: [ 65] [3600/4000] time: 38444.8983, dice0 = 0.04485, cross0 = 0.0445, kl0 = 0.0043, exclusion0 = 0.0454,     dice1 = 0.06166, cross1 = 0.0760, kl1 = 0.0159, exclusion1 = 0.0591
1.246989
Epoch: [ 65] [3650/4000] time: 38452.2779, net0_loss = 0.04481, net0_acc = 0.9950, net0_test_acc = 0.9171,     net1_loss = 0.04277, net1_acc = 0.9938, net1_test_acc = 0.9894
Epoch: [ 65] [3650/4000] time: 38452.2780, dice0 = 0.01642, cross0 = 0.0126, kl0 = 0.0046, exclusion0 = 0.0269,     dice1 = 0.01770, cross1 = 0.0151, kl1 = 0.0013, exclusion1 = 0.0186
1.387507
Epoch: [ 65] [3700/4000] time: 38459.6947, net0_loss = 0.12808, net0_acc = 0.9789, net0_test_acc = 0.9120,     net1_loss = 0.18568, net1_acc = 0.9697, net1_test_acc = 0.9104
Epoch: [ 65] [3700/4000] time: 38459.6948, dice0 = 0.04910, cross0 = 0.0548, kl0 = 0.0041, exclusion0 = 0.0443,     dice1 = 0.07206, cross1 = 0.0769, kl1 = 0.0085, exclusion1 = 0.0649
1.2281778
Epoch: [ 65] [3750/4000] time: 38467.0733, net0_loss = 0.10745, net0_acc = 0.9818, net0_test_acc = 0.9655,     net1_loss = 0.13421, net1_acc = 0.9770, net1_test_acc = 0.9582
Epoch: [ 65] [3750/4000] time: 38467.0733, dice0 = 0.04045, cross0 = 0.0489, kl0 = 0.0033, exclusion0 = 0.0329,     dice1 = 0.05281, cross1 = 0.0546, kl1 = 0.0066, exclusion1 = 0.0471
1.2278388
Epoch: [ 65] [3800/4000] time: 38474.5038, net0_loss = 0.08748, net0_acc = 0.9878, net0_test_acc = 0.7599,     net1_loss = 0.10487, net1_acc = 0.9855, net1_test_acc = 0.9020
Epoch: [ 65] [3800/4000] time: 38474.5039, dice0 = 0.03025, cross0 = 0.0361, kl0 = 0.0069, exclusion0 = 0.0355,     dice1 = 0.04112, cross1 = 0.0348, kl1 = 0.0083, exclusion1 = 0.0496
1.130978
Epoch: [ 65] [3850/4000] time: 38481.8837, net0_loss = 0.13744, net0_acc = 0.9798, net0_test_acc = 0.8398,     net1_loss = 0.20152, net1_acc = 0.9703, net1_test_acc = 0.8038
Epoch: [ 65] [3850/4000] time: 38481.8838, dice0 = 0.04804, cross0 = 0.0662, kl0 = 0.0053, exclusion0 = 0.0411,     dice1 = 0.07619, cross1 = 0.0744, kl1 = 0.0169, exclusion1 = 0.0849
1.1963557
Epoch: [ 65] [3900/4000] time: 38489.3708, net0_loss = 0.12164, net0_acc = 0.9815, net0_test_acc = 0.9854,     net1_loss = 0.17898, net1_acc = 0.9705, net1_test_acc = 0.9721
Epoch: [ 65] [3900/4000] time: 38489.3709, dice0 = 0.04854, cross0 = 0.0459, kl0 = 0.0039, exclusion0 = 0.0504,     dice1 = 0.06945, cross1 = 0.0718, kl1 = 0.0074, exclusion1 = 0.0681
1.0580434
Epoch: [ 65] [3950/4000] time: 38496.7878, net0_loss = 0.07983, net0_acc = 0.9879, net0_test_acc = 0.9351,     net1_loss = 0.12702, net1_acc = 0.9827, net1_test_acc = 0.9416
Epoch: [ 65] [3950/4000] time: 38496.7878, dice0 = 0.03071, cross0 = 0.0333, kl0 = 0.0027, exclusion0 = 0.0289,     dice1 = 0.03934, cross1 = 0.0657, kl1 = 0.0093, exclusion1 = 0.0347
1.2186891
Epoch: [ 66] [  0/4000] time: 38505.2782, net0_loss = 0.19132, net0_acc = 0.9651, net0_test_acc = 0.9524,     net1_loss = 0.08905, net1_acc = 0.9857, net1_test_acc = 0.9668
Epoch: [ 66] [  0/4000] time: 38505.2783, dice0 = 0.07085, cross0 = 0.0971, kl0 = 0.0045, exclusion0 = 0.0422,     dice1 = 0.03374, cross1 = 0.0400, kl1 = 0.0021, exclusion1 = 0.0284
1.1015984
Epoch: [ 66] [ 50/4000] time: 38512.6236, net0_loss = 0.13303, net0_acc = 0.9794, net0_test_acc = 0.9192,     net1_loss = 0.12144, net1_acc = 0.9821, net1_test_acc = 0.9737
Epoch: [ 66] [ 50/4000] time: 38512.6236, dice0 = 0.05005, cross0 = 0.0595, kl0 = 0.0037, exclusion0 = 0.0433,     dice1 = 0.04550, cross1 = 0.0436, kl1 = 0.0099, exclusion1 = 0.0547
1.1916308
Epoch: [ 66] [100/4000] time: 38520.0346, net0_loss = 0.13587, net0_acc = 0.9750, net0_test_acc = 0.9535,     net1_loss = 0.18882, net1_acc = 0.9698, net1_test_acc = 0.9359
Epoch: [ 66] [100/4000] time: 38520.0346, dice0 = 0.05061, cross0 = 0.0678, kl0 = 0.0038, exclusion0 = 0.0312,     dice1 = 0.06899, cross1 = 0.0732, kl1 = 0.0164, exclusion1 = 0.0768
1.0749114
Epoch: [ 66] [150/4000] time: 38527.4332, net0_loss = 0.22506, net0_acc = 0.9625, net0_test_acc = 0.9512,     net1_loss = 0.04114, net1_acc = 0.9943, net1_test_acc = 0.9093
Epoch: [ 66] [150/4000] time: 38527.4333, dice0 = 0.08705, cross0 = 0.0929, kl0 = 0.0100, exclusion0 = 0.0801,     dice1 = 0.01633, cross1 = 0.0140, kl1 = 0.0023, exclusion1 = 0.0193
1.1388946
Epoch: [ 66] [200/4000] time: 38534.8019, net0_loss = 0.11024, net0_acc = 0.9847, net0_test_acc = 0.9718,     net1_loss = 0.20245, net1_acc = 0.9645, net1_test_acc = 0.8886
Epoch: [ 66] [200/4000] time: 38534.8020, dice0 = 0.04045, cross0 = 0.0364, kl0 = 0.0124, exclusion0 = 0.0544,     dice1 = 0.07697, cross1 = 0.0953, kl1 = 0.0046, exclusion1 = 0.0558
1.1816874
Epoch: [ 66] [250/4000] time: 38542.2361, net0_loss = 0.21752, net0_acc = 0.9671, net0_test_acc = 0.7311,     net1_loss = 0.09764, net1_acc = 0.9856, net1_test_acc = 0.9487
Epoch: [ 66] [250/4000] time: 38542.2362, dice0 = 0.07001, cross0 = 0.1211, kl0 = 0.0083, exclusion0 = 0.0446,     dice1 = 0.03775, cross1 = 0.0367, kl1 = 0.0058, exclusion1 = 0.0406
1.1912982
Epoch: [ 66] [300/4000] time: 38549.4617, net0_loss = 0.26665, net0_acc = 0.9545, net0_test_acc = 0.9075,     net1_loss = 0.21056, net1_acc = 0.9652, net1_test_acc = 0.8234
Epoch: [ 66] [300/4000] time: 38549.4617, dice0 = 0.09474, cross0 = 0.1204, kl0 = 0.0168, exclusion0 = 0.0862,     dice1 = 0.07542, cross1 = 0.0943, kl1 = 0.0121, exclusion1 = 0.0694
1.1568917
Epoch: [ 66] [350/4000] time: 38556.9985, net0_loss = 0.09881, net0_acc = 0.9858, net0_test_acc = 0.8982,     net1_loss = 0.14359, net1_acc = 0.9783, net1_test_acc = 0.9593
Epoch: [ 66] [350/4000] time: 38556.9986, dice0 = 0.03374, cross0 = 0.0393, kl0 = 0.0104, exclusion0 = 0.0411,     dice1 = 0.05073, cross1 = 0.0582, kl1 = 0.0144, exclusion1 = 0.0550
1.1666355
Epoch: [ 66] [400/4000] time: 38564.5623, net0_loss = 0.27012, net0_acc = 0.9561, net0_test_acc = 0.9522,     net1_loss = 0.08451, net1_acc = 0.9864, net1_test_acc = 0.9792
Epoch: [ 66] [400/4000] time: 38564.5624, dice0 = 0.09768, cross0 = 0.1086, kl0 = 0.0222, exclusion0 = 0.1055,     dice1 = 0.03359, cross1 = 0.0357, kl1 = 0.0019, exclusion1 = 0.0285
1.1125842
Epoch: [ 66] [450/4000] time: 38571.9519, net0_loss = 0.19593, net0_acc = 0.9679, net0_test_acc = 0.9102,     net1_loss = 0.03532, net1_acc = 0.9957, net1_test_acc = 0.9486
Epoch: [ 66] [450/4000] time: 38571.9519, dice0 = 0.07370, cross0 = 0.0810, kl0 = 0.0111, exclusion0 = 0.0714,     dice1 = 0.01467, cross1 = 0.0108, kl1 = 0.0012, exclusion1 = 0.0185
1.169389
Epoch: [ 66] [500/4000] time: 38579.3533, net0_loss = 0.12025, net0_acc = 0.9830, net0_test_acc = 0.9568,     net1_loss = 0.08184, net1_acc = 0.9866, net1_test_acc = 0.9250
Epoch: [ 66] [500/4000] time: 38579.3534, dice0 = 0.04113, cross0 = 0.0506, kl0 = 0.0108, exclusion0 = 0.0463,     dice1 = 0.03210, cross1 = 0.0350, kl1 = 0.0028, exclusion1 = 0.0267
1.1080706
Epoch: [ 66] [550/4000] time: 38586.7454, net0_loss = 0.23395, net0_acc = 0.9615, net0_test_acc = 0.7544,     net1_loss = 0.19351, net1_acc = 0.9695, net1_test_acc = 0.8120
Epoch: [ 66] [550/4000] time: 38586.7455, dice0 = 0.08546, cross0 = 0.1066, kl0 = 0.0105, exclusion0 = 0.0733,     dice1 = 0.07464, cross1 = 0.0759, kl1 = 0.0095, exclusion1 = 0.0765
1.0926833
Epoch: [ 66] [600/4000] time: 38594.1300, net0_loss = 0.18067, net0_acc = 0.9720, net0_test_acc = 0.8018,     net1_loss = 0.20175, net1_acc = 0.9682, net1_test_acc = 0.8242
Epoch: [ 66] [600/4000] time: 38594.1300, dice0 = 0.06519, cross0 = 0.0763, kl0 = 0.0120, exclusion0 = 0.0664,     dice1 = 0.07145, cross1 = 0.0789, kl1 = 0.0223, exclusion1 = 0.0806
1.100328
Epoch: [ 66] [650/4000] time: 38601.4651, net0_loss = 0.05021, net0_acc = 0.9926, net0_test_acc = 0.9771,     net1_loss = 0.19724, net1_acc = 0.9700, net1_test_acc = 0.9528
Epoch: [ 66] [650/4000] time: 38601.4651, dice0 = 0.02072, cross0 = 0.0177, kl0 = 0.0012, exclusion0 = 0.0225,     dice1 = 0.07159, cross1 = 0.0836, kl1 = 0.0103, exclusion1 = 0.0739
1.1461697
Epoch: [ 66] [700/4000] time: 38608.9754, net0_loss = 0.14764, net0_acc = 0.9747, net0_test_acc = 0.9891,     net1_loss = 0.05723, net1_acc = 0.9930, net1_test_acc = 0.9535
Epoch: [ 66] [700/4000] time: 38608.9755, dice0 = 0.05817, cross0 = 0.0613, kl0 = 0.0044, exclusion0 = 0.0519,     dice1 = 0.01992, cross1 = 0.0247, kl1 = 0.0036, exclusion1 = 0.0217
1.168827
Epoch: [ 66] [750/4000] time: 38616.3344, net0_loss = 0.14047, net0_acc = 0.9763, net0_test_acc = 0.9512,     net1_loss = 0.05941, net1_acc = 0.9918, net1_test_acc = 0.8242
Epoch: [ 66] [750/4000] time: 38616.3345, dice0 = 0.05027, cross0 = 0.0726, kl0 = 0.0054, exclusion0 = 0.0298,     dice1 = 0.02409, cross1 = 0.0203, kl1 = 0.0028, exclusion1 = 0.0272
1.1142836
Epoch: [ 66] [800/4000] time: 38623.7907, net0_loss = 0.12405, net0_acc = 0.9807, net0_test_acc = 0.9804,     net1_loss = 0.11363, net1_acc = 0.9810, net1_test_acc = 0.9127
Epoch: [ 66] [800/4000] time: 38623.7907, dice0 = 0.04693, cross0 = 0.0455, kl0 = 0.0102, exclusion0 = 0.0531,     dice1 = 0.04509, cross1 = 0.0474, kl1 = 0.0030, exclusion1 = 0.0392
1.1895142
Epoch: [ 66] [850/4000] time: 38631.1746, net0_loss = 0.09427, net0_acc = 0.9856, net0_test_acc = 0.9668,     net1_loss = 0.11851, net1_acc = 0.9819, net1_test_acc = 0.9672
Epoch: [ 66] [850/4000] time: 38631.1746, dice0 = 0.03603, cross0 = 0.0361, kl0 = 0.0058, exclusion0 = 0.0385,     dice1 = 0.04470, cross1 = 0.0460, kl1 = 0.0076, exclusion1 = 0.0480
1.1803116
Epoch: [ 66] [900/4000] time: 38638.5378, net0_loss = 0.11648, net0_acc = 0.9807, net0_test_acc = 0.9304,     net1_loss = 0.26415, net1_acc = 0.9548, net1_test_acc = 0.9814
Epoch: [ 66] [900/4000] time: 38638.5379, dice0 = 0.04409, cross0 = 0.0511, kl0 = 0.0046, exclusion0 = 0.0380,     dice1 = 0.09849, cross1 = 0.1172, kl1 = 0.0112, exclusion1 = 0.0858
1.1384884
Epoch: [ 66] [950/4000] time: 38645.9715, net0_loss = 0.08238, net0_acc = 0.9876, net0_test_acc = 0.8825,     net1_loss = 0.29252, net1_acc = 0.9543, net1_test_acc = 0.9541
Epoch: [ 66] [950/4000] time: 38645.9716, dice0 = 0.02965, cross0 = 0.0318, kl0 = 0.0067, exclusion0 = 0.0353,     dice1 = 0.09335, cross1 = 0.1619, kl1 = 0.0134, exclusion1 = 0.0612
1.2575365
Epoch: [ 66] [1000/4000] time: 38653.3863, net0_loss = 0.11127, net0_acc = 0.9850, net0_test_acc = 0.8978,     net1_loss = 0.08415, net1_acc = 0.9885, net1_test_acc = 0.9622
Epoch: [ 66] [1000/4000] time: 38653.3864, dice0 = 0.03272, cross0 = 0.0603, kl0 = 0.0074, exclusion0 = 0.0291,     dice1 = 0.02961, cross1 = 0.0257, kl1 = 0.0131, exclusion1 = 0.0445
1.1935014
Epoch: [ 66] [1050/4000] time: 38660.7842, net0_loss = 0.12132, net0_acc = 0.9809, net0_test_acc = 0.9643,     net1_loss = 0.17197, net1_acc = 0.9716, net1_test_acc = 0.9512
Epoch: [ 66] [1050/4000] time: 38660.7842, dice0 = 0.04790, cross0 = 0.0449, kl0 = 0.0057, exclusion0 = 0.0514,     dice1 = 0.05947, cross1 = 0.0847, kl1 = 0.0093, exclusion1 = 0.0462
1.1992648
Epoch: [ 66] [1100/4000] time: 38668.1909, net0_loss = 0.09205, net0_acc = 0.9862, net0_test_acc = 0.9153,     net1_loss = 0.23690, net1_acc = 0.9653, net1_test_acc = 0.9731
Epoch: [ 66] [1100/4000] time: 38668.1909, dice0 = 0.03596, cross0 = 0.0371, kl0 = 0.0034, exclusion0 = 0.0345,     dice1 = 0.07198, cross1 = 0.1381, kl1 = 0.0097, exclusion1 = 0.0440
1.2156686
Epoch: [ 66] [1150/4000] time: 38675.6131, net0_loss = 0.27153, net0_acc = 0.9548, net0_test_acc = 0.9762,     net1_loss = 0.11785, net1_acc = 0.9808, net1_test_acc = 0.9561
Epoch: [ 66] [1150/4000] time: 38675.6132, dice0 = 0.09401, cross0 = 0.1429, kl0 = 0.0087, exclusion0 = 0.0606,     dice1 = 0.04600, cross1 = 0.0407, kl1 = 0.0095, exclusion1 = 0.0528
1.1279002
Epoch: [ 66] [1200/4000] time: 38683.0276, net0_loss = 0.21932, net0_acc = 0.9645, net0_test_acc = 0.7407,     net1_loss = 0.07156, net1_acc = 0.9901, net1_test_acc = 0.9166
Epoch: [ 66] [1200/4000] time: 38683.0277, dice0 = 0.07705, cross0 = 0.1112, kl0 = 0.0066, exclusion0 = 0.0556,     dice1 = 0.02711, cross1 = 0.0266, kl1 = 0.0043, exclusion1 = 0.0314
1.2296726
Epoch: [ 66] [1250/4000] time: 38690.4580, net0_loss = 0.08156, net0_acc = 0.9875, net0_test_acc = 0.9302,     net1_loss = 0.09048, net1_acc = 0.9872, net1_test_acc = 0.9512
Epoch: [ 66] [1250/4000] time: 38690.4580, dice0 = 0.03141, cross0 = 0.0347, kl0 = 0.0028, exclusion0 = 0.0282,     dice1 = 0.02941, cross1 = 0.0401, kl1 = 0.0084, exclusion1 = 0.0336
1.1408101
Epoch: [ 66] [1300/4000] time: 38697.8369, net0_loss = 0.16092, net0_acc = 0.9768, net0_test_acc = 0.9271,     net1_loss = 0.12360, net1_acc = 0.9794, net1_test_acc = 0.9561
Epoch: [ 66] [1300/4000] time: 38697.8369, dice0 = 0.05837, cross0 = 0.0613, kl0 = 0.0123, exclusion0 = 0.0703,     dice1 = 0.04509, cross1 = 0.0602, kl1 = 0.0045, exclusion1 = 0.0321
1.1638724
Epoch: [ 66] [1350/4000] time: 38705.2681, net0_loss = 0.17352, net0_acc = 0.9709, net0_test_acc = 0.9433,     net1_loss = 0.09118, net1_acc = 0.9851, net1_test_acc = 0.9294
Epoch: [ 66] [1350/4000] time: 38705.2682, dice0 = 0.06437, cross0 = 0.0716, kl0 = 0.0117, exclusion0 = 0.0633,     dice1 = 0.03560, cross1 = 0.0365, kl1 = 0.0054, exclusion1 = 0.0329
1.211862
Epoch: [ 66] [1400/4000] time: 38712.5865, net0_loss = 0.05473, net0_acc = 0.9922, net0_test_acc = 0.8093,     net1_loss = 0.16076, net1_acc = 0.9735, net1_test_acc = 0.9281
Epoch: [ 66] [1400/4000] time: 38712.5866, dice0 = 0.02090, cross0 = 0.0216, kl0 = 0.0024, exclusion0 = 0.0219,     dice1 = 0.05962, cross1 = 0.0696, kl1 = 0.0095, exclusion1 = 0.0536
1.1209779
Epoch: [ 66] [1450/4000] time: 38719.9997, net0_loss = 0.04496, net0_acc = 0.9926, net0_test_acc = 0.8998,     net1_loss = 0.09711, net1_acc = 0.9839, net1_test_acc = 0.9394
Epoch: [ 66] [1450/4000] time: 38719.9998, dice0 = 0.01781, cross0 = 0.0178, kl0 = 0.0018, exclusion0 = 0.0169,     dice1 = 0.03898, cross1 = 0.0383, kl1 = 0.0036, exclusion1 = 0.0360
1.1042495
Epoch: [ 66] [1500/4000] time: 38727.4324, net0_loss = 0.06233, net0_acc = 0.9902, net0_test_acc = 0.9706,     net1_loss = 0.16555, net1_acc = 0.9719, net1_test_acc = 0.9385
Epoch: [ 66] [1500/4000] time: 38727.4325, dice0 = 0.02513, cross0 = 0.0228, kl0 = 0.0033, exclusion0 = 0.0255,     dice1 = 0.06206, cross1 = 0.0701, kl1 = 0.0105, exclusion1 = 0.0562
1.1743916
Epoch: [ 66] [1550/4000] time: 38734.8287, net0_loss = 0.10366, net0_acc = 0.9865, net0_test_acc = 0.8349,     net1_loss = 0.18354, net1_acc = 0.9706, net1_test_acc = 0.9349
Epoch: [ 66] [1550/4000] time: 38734.8287, dice0 = 0.03741, cross0 = 0.0362, kl0 = 0.0087, exclusion0 = 0.0515,     dice1 = 0.06377, cross1 = 0.0884, kl1 = 0.0108, exclusion1 = 0.0519
1.2160704
Epoch: [ 66] [1600/4000] time: 38742.2345, net0_loss = 0.18649, net0_acc = 0.9727, net0_test_acc = 0.9645,     net1_loss = 0.13673, net1_acc = 0.9775, net1_test_acc = 0.9560
Epoch: [ 66] [1600/4000] time: 38742.2345, dice0 = 0.06999, cross0 = 0.0656, kl0 = 0.0166, exclusion0 = 0.0853,     dice1 = 0.04942, cross1 = 0.0638, kl1 = 0.0066, exclusion1 = 0.0404
1.1012604
Epoch: [ 66] [1650/4000] time: 38749.6560, net0_loss = 0.13336, net0_acc = 0.9791, net0_test_acc = 0.9505,     net1_loss = 0.30016, net1_acc = 0.9483, net1_test_acc = 0.9889
Epoch: [ 66] [1650/4000] time: 38749.6561, dice0 = 0.04857, cross0 = 0.0565, kl0 = 0.0078, exclusion0 = 0.0488,     dice1 = 0.11257, cross1 = 0.1348, kl1 = 0.0130, exclusion1 = 0.0925
1.1076005
Epoch: [ 66] [1700/4000] time: 38756.9760, net0_loss = 0.07906, net0_acc = 0.9861, net0_test_acc = 0.9594,     net1_loss = 0.10838, net1_acc = 0.9830, net1_test_acc = 0.9097
Epoch: [ 66] [1700/4000] time: 38756.9761, dice0 = 0.03213, cross0 = 0.0291, kl0 = 0.0034, exclusion0 = 0.0322,     dice1 = 0.04134, cross1 = 0.0445, kl1 = 0.0056, exclusion1 = 0.0396
1.1126752
Epoch: [ 66] [1750/4000] time: 38764.4985, net0_loss = 0.17950, net0_acc = 0.9696, net0_test_acc = 0.8715,     net1_loss = 0.15870, net1_acc = 0.9751, net1_test_acc = 0.9240
Epoch: [ 66] [1750/4000] time: 38764.4985, dice0 = 0.06919, cross0 = 0.0782, kl0 = 0.0073, exclusion0 = 0.0570,     dice1 = 0.05945, cross1 = 0.0634, kl1 = 0.0106, exclusion1 = 0.0611
1.1303827
Epoch: [ 66] [1800/4000] time: 38771.8896, net0_loss = 0.14065, net0_acc = 0.9776, net0_test_acc = 0.8353,     net1_loss = 0.13951, net1_acc = 0.9777, net1_test_acc = 0.9642
Epoch: [ 66] [1800/4000] time: 38771.8897, dice0 = 0.05173, cross0 = 0.0674, kl0 = 0.0050, exclusion0 = 0.0381,     dice1 = 0.05080, cross1 = 0.0612, kl1 = 0.0085, exclusion1 = 0.0466
1.0947614
Epoch: [ 66] [1850/4000] time: 38779.3316, net0_loss = 0.06333, net0_acc = 0.9902, net0_test_acc = 0.9821,     net1_loss = 0.11711, net1_acc = 0.9809, net1_test_acc = 0.9015
Epoch: [ 66] [1850/4000] time: 38779.3317, dice0 = 0.02598, cross0 = 0.0239, kl0 = 0.0015, exclusion0 = 0.0253,     dice1 = 0.04613, cross1 = 0.0450, kl1 = 0.0065, exclusion1 = 0.0456
1.1507995
Epoch: [ 66] [1900/4000] time: 38786.7498, net0_loss = 0.14821, net0_acc = 0.9765, net0_test_acc = 0.9487,     net1_loss = 0.19186, net1_acc = 0.9670, net1_test_acc = 0.9637
Epoch: [ 66] [1900/4000] time: 38786.7498, dice0 = 0.05625, cross0 = 0.0624, kl0 = 0.0075, exclusion0 = 0.0517,     dice1 = 0.06921, cross1 = 0.0985, kl1 = 0.0045, exclusion1 = 0.0438
1.1234229
Epoch: [ 66] [1950/4000] time: 38794.1301, net0_loss = 0.13196, net0_acc = 0.9783, net0_test_acc = 0.8990,     net1_loss = 0.18922, net1_acc = 0.9738, net1_test_acc = 0.9289
Epoch: [ 66] [1950/4000] time: 38794.1302, dice0 = 0.04740, cross0 = 0.0585, kl0 = 0.0083, exclusion0 = 0.0439,     dice1 = 0.06363, cross1 = 0.0909, kl1 = 0.0122, exclusion1 = 0.0572
1.1738266
Epoch: [ 66] [2000/4000] time: 38801.3428, net0_loss = 0.16447, net0_acc = 0.9766, net0_test_acc = 0.9530,     net1_loss = 0.11169, net1_acc = 0.9824, net1_test_acc = 0.8830
Epoch: [ 66] [2000/4000] time: 38801.3429, dice0 = 0.05817, cross0 = 0.0578, kl0 = 0.0186, exclusion0 = 0.0783,     dice1 = 0.04175, cross1 = 0.0522, kl1 = 0.0028, exclusion1 = 0.0328
1.1582103
Epoch: [ 66] [2050/4000] time: 38809.0008, net0_loss = 0.15963, net0_acc = 0.9730, net0_test_acc = 0.9660,     net1_loss = 0.15362, net1_acc = 0.9775, net1_test_acc = 0.9525
Epoch: [ 66] [2050/4000] time: 38809.0009, dice0 = 0.05967, cross0 = 0.0715, kl0 = 0.0074, exclusion0 = 0.0495,     dice1 = 0.05250, cross1 = 0.0634, kl1 = 0.0153, exclusion1 = 0.0601
1.1318486
Epoch: [ 66] [2100/4000] time: 38816.4426, net0_loss = 0.20834, net0_acc = 0.9681, net0_test_acc = 0.9380,     net1_loss = 0.07855, net1_acc = 0.9875, net1_test_acc = 0.9485
Epoch: [ 66] [2100/4000] time: 38816.4426, dice0 = 0.07116, cross0 = 0.0939, kl0 = 0.0140, exclusion0 = 0.0726,     dice1 = 0.03204, cross1 = 0.0305, kl1 = 0.0019, exclusion1 = 0.0302
1.1952385
Epoch: [ 66] [2150/4000] time: 38823.8682, net0_loss = 0.07750, net0_acc = 0.9881, net0_test_acc = 0.9407,     net1_loss = 0.03684, net1_acc = 0.9955, net1_test_acc = 0.7781
Epoch: [ 66] [2150/4000] time: 38823.8683, dice0 = 0.03057, cross0 = 0.0282, kl0 = 0.0041, exclusion0 = 0.0333,     dice1 = 0.01456, cross1 = 0.0120, kl1 = 0.0027, exclusion1 = 0.0178
1.293404
Epoch: [ 66] [2200/4000] time: 38831.2938, net0_loss = 0.21422, net0_acc = 0.9653, net0_test_acc = 0.8568,     net1_loss = 0.16584, net1_acc = 0.9719, net1_test_acc = 0.9147
Epoch: [ 66] [2200/4000] time: 38831.2939, dice0 = 0.07877, cross0 = 0.0876, kl0 = 0.0166, exclusion0 = 0.0790,     dice1 = 0.06520, cross1 = 0.0692, kl1 = 0.0066, exclusion1 = 0.0562
1.125715
Epoch: [ 66] [2250/4000] time: 38838.6543, net0_loss = 0.08414, net0_acc = 0.9878, net0_test_acc = 0.9099,     net1_loss = 0.18146, net1_acc = 0.9695, net1_test_acc = 0.8225
Epoch: [ 66] [2250/4000] time: 38838.6543, dice0 = 0.03146, cross0 = 0.0302, kl0 = 0.0072, exclusion0 = 0.0378,     dice1 = 0.06764, cross1 = 0.0791, kl1 = 0.0108, exclusion1 = 0.0586
1.1825727
Epoch: [ 66] [2300/4000] time: 38846.0292, net0_loss = 0.09613, net0_acc = 0.9851, net0_test_acc = 0.9259,     net1_loss = 0.24160, net1_acc = 0.9589, net1_test_acc = 0.9372
Epoch: [ 66] [2300/4000] time: 38846.0293, dice0 = 0.03399, cross0 = 0.0392, kl0 = 0.0082, exclusion0 = 0.0378,     dice1 = 0.08430, cross1 = 0.1112, kl1 = 0.0180, exclusion1 = 0.0742
1.0826237
Epoch: [ 66] [2350/4000] time: 38853.4983, net0_loss = 0.20515, net0_acc = 0.9628, net0_test_acc = 0.9299,     net1_loss = 0.17448, net1_acc = 0.9703, net1_test_acc = 0.9331
Epoch: [ 66] [2350/4000] time: 38853.4983, dice0 = 0.07613, cross0 = 0.0996, kl0 = 0.0066, exclusion0 = 0.0522,     dice1 = 0.06278, cross1 = 0.0860, kl1 = 0.0061, exclusion1 = 0.0452
1.1605812
Epoch: [ 66] [2400/4000] time: 38860.9060, net0_loss = 0.11358, net0_acc = 0.9833, net0_test_acc = 0.9744,     net1_loss = 0.04604, net1_acc = 0.9934, net1_test_acc = 0.9542
Epoch: [ 66] [2400/4000] time: 38860.9061, dice0 = 0.04276, cross0 = 0.0428, kl0 = 0.0065, exclusion0 = 0.0494,     dice1 = 0.01896, cross1 = 0.0162, kl1 = 0.0014, exclusion1 = 0.0204
1.1771551
Epoch: [ 66] [2450/4000] time: 38868.2949, net0_loss = 0.13787, net0_acc = 0.9778, net0_test_acc = 0.9435,     net1_loss = 0.07860, net1_acc = 0.9885, net1_test_acc = 0.8589
Epoch: [ 66] [2450/4000] time: 38868.2950, dice0 = 0.04620, cross0 = 0.0685, kl0 = 0.0091, exclusion0 = 0.0373,     dice1 = 0.03048, cross1 = 0.0287, kl1 = 0.0054, exclusion1 = 0.0335
1.086591
Epoch: [ 66] [2500/4000] time: 38875.7170, net0_loss = 0.18294, net0_acc = 0.9691, net0_test_acc = 0.9539,     net1_loss = 0.20861, net1_acc = 0.9670, net1_test_acc = 0.9814
Epoch: [ 66] [2500/4000] time: 38875.7171, dice0 = 0.06693, cross0 = 0.0790, kl0 = 0.0126, exclusion0 = 0.0614,     dice1 = 0.07316, cross1 = 0.0866, kl1 = 0.0182, exclusion1 = 0.0795
1.1509664
Epoch: [ 66] [2550/4000] time: 38883.0581, net0_loss = 0.08746, net0_acc = 0.9862, net0_test_acc = 0.8705,     net1_loss = 0.13410, net1_acc = 0.9785, net1_test_acc = 0.8417
Epoch: [ 66] [2550/4000] time: 38883.0582, dice0 = 0.03507, cross0 = 0.0337, kl0 = 0.0022, exclusion0 = 0.0351,     dice1 = 0.05057, cross1 = 0.0513, kl1 = 0.0115, exclusion1 = 0.0530
1.1603479
Epoch: [ 66] [2600/4000] time: 38890.4913, net0_loss = 0.14123, net0_acc = 0.9770, net0_test_acc = 0.9260,     net1_loss = 0.15501, net1_acc = 0.9759, net1_test_acc = 0.9105
Epoch: [ 66] [2600/4000] time: 38890.4914, dice0 = 0.05279, cross0 = 0.0601, kl0 = 0.0077, exclusion0 = 0.0491,     dice1 = 0.06141, cross1 = 0.0555, kl1 = 0.0083, exclusion1 = 0.0678
1.0766828
Epoch: [ 66] [2650/4000] time: 38897.9537, net0_loss = 0.24118, net0_acc = 0.9633, net0_test_acc = 0.9552,     net1_loss = 0.13634, net1_acc = 0.9772, net1_test_acc = 0.9481
Epoch: [ 66] [2650/4000] time: 38897.9538, dice0 = 0.09270, cross0 = 0.0884, kl0 = 0.0145, exclusion0 = 0.1057,     dice1 = 0.05409, cross1 = 0.0555, kl1 = 0.0060, exclusion1 = 0.0474
1.1661967
Epoch: [ 66] [2700/4000] time: 38905.3790, net0_loss = 0.16752, net0_acc = 0.9714, net0_test_acc = 0.9256,     net1_loss = 0.10319, net1_acc = 0.9865, net1_test_acc = 0.9907
Epoch: [ 66] [2700/4000] time: 38905.3791, dice0 = 0.06416, cross0 = 0.0671, kl0 = 0.0096, exclusion0 = 0.0629,     dice1 = 0.04078, cross1 = 0.0321, kl1 = 0.0073, exclusion1 = 0.0533
1.0402938
Epoch: [ 66] [2750/4000] time: 38912.7712, net0_loss = 0.21815, net0_acc = 0.9665, net0_test_acc = 0.9399,     net1_loss = 0.14316, net1_acc = 0.9759, net1_test_acc = 0.7992
Epoch: [ 66] [2750/4000] time: 38912.7712, dice0 = 0.08003, cross0 = 0.0938, kl0 = 0.0101, exclusion0 = 0.0786,     dice1 = 0.05440, cross1 = 0.0633, kl1 = 0.0057, exclusion1 = 0.0452
1.1059108
Epoch: [ 66] [2800/4000] time: 38920.1341, net0_loss = 0.10624, net0_acc = 0.9820, net0_test_acc = 0.8766,     net1_loss = 0.15899, net1_acc = 0.9726, net1_test_acc = 0.9852
Epoch: [ 66] [2800/4000] time: 38920.1342, dice0 = 0.04191, cross0 = 0.0469, kl0 = 0.0022, exclusion0 = 0.0328,     dice1 = 0.05528, cross1 = 0.0911, kl1 = 0.0013, exclusion1 = 0.0240
1.228702
Epoch: [ 66] [2850/4000] time: 38927.6113, net0_loss = 0.14176, net0_acc = 0.9767, net0_test_acc = 0.9326,     net1_loss = 0.09851, net1_acc = 0.9856, net1_test_acc = 0.9184
Epoch: [ 66] [2850/4000] time: 38927.6114, dice0 = 0.05295, cross0 = 0.0653, kl0 = 0.0058, exclusion0 = 0.0413,     dice1 = 0.03847, cross1 = 0.0357, kl1 = 0.0059, exclusion1 = 0.0429
1.204967
Epoch: [ 66] [2900/4000] time: 38935.0510, net0_loss = 0.26610, net0_acc = 0.9604, net0_test_acc = 0.8597,     net1_loss = 0.19302, net1_acc = 0.9682, net1_test_acc = 0.9113
Epoch: [ 66] [2900/4000] time: 38935.0511, dice0 = 0.08520, cross0 = 0.1276, kl0 = 0.0249, exclusion0 = 0.0817,     dice1 = 0.06732, cross1 = 0.0947, kl1 = 0.0094, exclusion1 = 0.0526
1.1694231
Epoch: [ 66] [2950/4000] time: 38942.4435, net0_loss = 0.08142, net0_acc = 0.9861, net0_test_acc = 0.9173,     net1_loss = 0.13800, net1_acc = 0.9825, net1_test_acc = 0.8226
Epoch: [ 66] [2950/4000] time: 38942.4436, dice0 = 0.03191, cross0 = 0.0348, kl0 = 0.0026, exclusion0 = 0.0268,     dice1 = 0.05182, cross1 = 0.0430, kl1 = 0.0138, exclusion1 = 0.0725
1.1642696
Epoch: [ 66] [3000/4000] time: 38949.8339, net0_loss = 0.11867, net0_acc = 0.9825, net0_test_acc = 0.9079,     net1_loss = 0.10075, net1_acc = 0.9840, net1_test_acc = 0.8610
Epoch: [ 66] [3000/4000] time: 38949.8339, dice0 = 0.04789, cross0 = 0.0406, kl0 = 0.0057, exclusion0 = 0.0546,     dice1 = 0.04014, cross1 = 0.0381, kl1 = 0.0035, exclusion1 = 0.0415
1.0724367
Epoch: [ 66] [3050/4000] time: 38957.2876, net0_loss = 0.16323, net0_acc = 0.9729, net0_test_acc = 0.9297,     net1_loss = 0.16522, net1_acc = 0.9710, net1_test_acc = 0.9232
Epoch: [ 66] [3050/4000] time: 38957.2877, dice0 = 0.06038, cross0 = 0.0730, kl0 = 0.0084, exclusion0 = 0.0513,     dice1 = 0.06234, cross1 = 0.0786, kl1 = 0.0045, exclusion1 = 0.0441
1.1181716
Epoch: [ 66] [3100/4000] time: 38964.6863, net0_loss = 0.18824, net0_acc = 0.9674, net0_test_acc = 0.8999,     net1_loss = 0.24862, net1_acc = 0.9590, net1_test_acc = 0.9136
Epoch: [ 66] [3100/4000] time: 38964.6864, dice0 = 0.07203, cross0 = 0.0856, kl0 = 0.0056, exclusion0 = 0.0557,     dice1 = 0.08714, cross1 = 0.0977, kl1 = 0.0276, exclusion1 = 0.0999
1.1757889
Epoch: [ 66] [3150/4000] time: 38971.9595, net0_loss = 0.27979, net0_acc = 0.9561, net0_test_acc = 0.9409,     net1_loss = 0.18469, net1_acc = 0.9698, net1_test_acc = 0.9612
Epoch: [ 66] [3150/4000] time: 38971.9596, dice0 = 0.08813, cross0 = 0.1662, kl0 = 0.0069, exclusion0 = 0.0440,     dice1 = 0.06587, cross1 = 0.0838, kl1 = 0.0138, exclusion1 = 0.0561
1.135708
Epoch: [ 66] [3200/4000] time: 38979.5064, net0_loss = 0.23781, net0_acc = 0.9619, net0_test_acc = 0.9828,     net1_loss = 0.38166, net1_acc = 0.9385, net1_test_acc = 0.9898
Epoch: [ 66] [3200/4000] time: 38979.5065, dice0 = 0.07870, cross0 = 0.1319, kl0 = 0.0064, exclusion0 = 0.0480,     dice1 = 0.12490, cross1 = 0.2052, kl1 = 0.0166, exclusion1 = 0.0864
1.1154886
Epoch: [ 66] [3250/4000] time: 38986.9862, net0_loss = 0.10272, net0_acc = 0.9854, net0_test_acc = 0.9618,     net1_loss = 0.13953, net1_acc = 0.9754, net1_test_acc = 0.9604
Epoch: [ 66] [3250/4000] time: 38986.9863, dice0 = 0.04027, cross0 = 0.0344, kl0 = 0.0056, exclusion0 = 0.0504,     dice1 = 0.05436, cross1 = 0.0603, kl1 = 0.0056, exclusion1 = 0.0441
1.1381971
Epoch: [ 66] [3300/4000] time: 38994.3713, net0_loss = 0.20138, net0_acc = 0.9661, net0_test_acc = 0.9758,     net1_loss = 0.24524, net1_acc = 0.9607, net1_test_acc = 0.9264
Epoch: [ 66] [3300/4000] time: 38994.3714, dice0 = 0.07234, cross0 = 0.1001, kl0 = 0.0051, exclusion0 = 0.0528,     dice1 = 0.08150, cross1 = 0.1243, kl1 = 0.0146, exclusion1 = 0.0642
1.1996112
Epoch: [ 66] [3350/4000] time: 39001.7786, net0_loss = 0.13018, net0_acc = 0.9783, net0_test_acc = 0.8815,     net1_loss = 0.12854, net1_acc = 0.9813, net1_test_acc = 0.9865
Epoch: [ 66] [3350/4000] time: 39001.7786, dice0 = 0.04989, cross0 = 0.0557, kl0 = 0.0046, exclusion0 = 0.0445,     dice1 = 0.04893, cross1 = 0.0455, kl1 = 0.0122, exclusion1 = 0.0560
1.091038
Epoch: [ 66] [3400/4000] time: 39009.2329, net0_loss = 0.10469, net0_acc = 0.9838, net0_test_acc = 0.8990,     net1_loss = 0.04643, net1_acc = 0.9933, net1_test_acc = 0.9893
Epoch: [ 66] [3400/4000] time: 39009.2330, dice0 = 0.03991, cross0 = 0.0413, kl0 = 0.0069, exclusion0 = 0.0401,     dice1 = 0.01877, cross1 = 0.0172, kl1 = 0.0014, exclusion1 = 0.0196
1.227042
Epoch: [ 66] [3450/4000] time: 39016.6327, net0_loss = 0.21165, net0_acc = 0.9619, net0_test_acc = 0.9053,     net1_loss = 0.03330, net1_acc = 0.9960, net1_test_acc = 0.9103
Epoch: [ 66] [3450/4000] time: 39016.6328, dice0 = 0.07698, cross0 = 0.0993, kl0 = 0.0109, exclusion0 = 0.0599,     dice1 = 0.01306, cross1 = 0.0104, kl1 = 0.0020, exclusion1 = 0.0177
1.2782295
Epoch: [ 66] [3500/4000] time: 39024.0667, net0_loss = 0.06541, net0_acc = 0.9902, net0_test_acc = 0.9674,     net1_loss = 0.29386, net1_acc = 0.9509, net1_test_acc = 0.9603
Epoch: [ 66] [3500/4000] time: 39024.0667, dice0 = 0.02525, cross0 = 0.0275, kl0 = 0.0024, exclusion0 = 0.0230,     dice1 = 0.10133, cross1 = 0.1232, kl1 = 0.0296, exclusion1 = 0.1091
1.276455
Epoch: [ 66] [3550/4000] time: 39031.4983, net0_loss = 0.12166, net0_acc = 0.9837, net0_test_acc = 0.7343,     net1_loss = 0.08499, net1_acc = 0.9866, net1_test_acc = 0.9004
Epoch: [ 66] [3550/4000] time: 39031.4984, dice0 = 0.04457, cross0 = 0.0379, kl0 = 0.0149, exclusion0 = 0.0635,     dice1 = 0.03040, cross1 = 0.0399, kl1 = 0.0039, exclusion1 = 0.0254
1.2874573
Epoch: [ 66] [3600/4000] time: 39038.9012, net0_loss = 0.22860, net0_acc = 0.9604, net0_test_acc = 0.8382,     net1_loss = 0.09434, net1_acc = 0.9862, net1_test_acc = 0.8210
Epoch: [ 66] [3600/4000] time: 39038.9012, dice0 = 0.08428, cross0 = 0.1063, kl0 = 0.0084, exclusion0 = 0.0677,     dice1 = 0.03650, cross1 = 0.0368, kl1 = 0.0067, exclusion1 = 0.0354
1.112088
Epoch: [ 66] [3650/4000] time: 39046.2648, net0_loss = 0.33580, net0_acc = 0.9434, net0_test_acc = 0.9862,     net1_loss = 0.21968, net1_acc = 0.9633, net1_test_acc = 0.9672
Epoch: [ 66] [3650/4000] time: 39046.2649, dice0 = 0.11762, cross0 = 0.1484, kl0 = 0.0249, exclusion0 = 0.1146,     dice1 = 0.07621, cross1 = 0.1092, kl1 = 0.0113, exclusion1 = 0.0572
1.1850177
Epoch: [ 66] [3700/4000] time: 39053.7193, net0_loss = 0.14910, net0_acc = 0.9778, net0_test_acc = 0.9370,     net1_loss = 0.08061, net1_acc = 0.9874, net1_test_acc = 0.9465
Epoch: [ 66] [3700/4000] time: 39053.7194, dice0 = 0.05248, cross0 = 0.0576, kl0 = 0.0154, exclusion0 = 0.0626,     dice1 = 0.03242, cross1 = 0.0298, kl1 = 0.0035, exclusion1 = 0.0333
1.2067214
Epoch: [ 66] [3750/4000] time: 39061.1484, net0_loss = 0.22399, net0_acc = 0.9604, net0_test_acc = 0.9448,     net1_loss = 0.21916, net1_acc = 0.9665, net1_test_acc = 0.9778
Epoch: [ 66] [3750/4000] time: 39061.1484, dice0 = 0.08515, cross0 = 0.0996, kl0 = 0.0096, exclusion0 = 0.0689,     dice1 = 0.08715, cross1 = 0.0811, kl1 = 0.0076, exclusion1 = 0.0943
1.1259286
Epoch: [ 66] [3800/4000] time: 39068.5265, net0_loss = 0.07234, net0_acc = 0.9888, net0_test_acc = 0.8918,     net1_loss = 0.07601, net1_acc = 0.9879, net1_test_acc = 0.9756
Epoch: [ 66] [3800/4000] time: 39068.5265, dice0 = 0.02953, cross0 = 0.0269, kl0 = 0.0019, exclusion0 = 0.0299,     dice1 = 0.02978, cross1 = 0.0312, kl1 = 0.0023, exclusion1 = 0.0277
1.1769257
Epoch: [ 66] [3850/4000] time: 39075.9760, net0_loss = 0.08164, net0_acc = 0.9888, net0_test_acc = 0.9439,     net1_loss = 0.29102, net1_acc = 0.9531, net1_test_acc = 0.9353
Epoch: [ 66] [3850/4000] time: 39075.9761, dice0 = 0.03072, cross0 = 0.0304, kl0 = 0.0049, exclusion0 = 0.0362,     dice1 = 0.10040, cross1 = 0.1379, kl1 = 0.0181, exclusion1 = 0.0873
1.1333603
Epoch: [ 66] [3900/4000] time: 39083.2780, net0_loss = 0.14735, net0_acc = 0.9762, net0_test_acc = 0.9386,     net1_loss = 0.10480, net1_acc = 0.9821, net1_test_acc = 0.9200
Epoch: [ 66] [3900/4000] time: 39083.2780, dice0 = 0.05363, cross0 = 0.0613, kl0 = 0.0109, exclusion0 = 0.0540,     dice1 = 0.04097, cross1 = 0.0474, kl1 = 0.0029, exclusion1 = 0.0298
1.0827667
Epoch: [ 66] [3950/4000] time: 39090.8340, net0_loss = 0.08608, net0_acc = 0.9854, net0_test_acc = 0.9716,     net1_loss = 0.11527, net1_acc = 0.9800, net1_test_acc = 0.9224
Epoch: [ 66] [3950/4000] time: 39090.8341, dice0 = 0.03360, cross0 = 0.0364, kl0 = 0.0031, exclusion0 = 0.0291,     dice1 = 0.04506, cross1 = 0.0453, kl1 = 0.0064, exclusion1 = 0.0435
1.1395956
Epoch: [ 67] [  0/4000] time: 39098.2159, net0_loss = 0.18815, net0_acc = 0.9672, net0_test_acc = 0.7458,     net1_loss = 0.14374, net1_acc = 0.9747, net1_test_acc = 0.9485
Epoch: [ 67] [  0/4000] time: 39098.2159, dice0 = 0.06851, cross0 = 0.0976, kl0 = 0.0039, exclusion0 = 0.0402,     dice1 = 0.05442, cross1 = 0.0688, kl1 = 0.0029, exclusion1 = 0.0381
1.1381812
Epoch: [ 67] [ 50/4000] time: 39105.5695, net0_loss = 0.07819, net0_acc = 0.9875, net0_test_acc = 0.9012,     net1_loss = 0.31320, net1_acc = 0.9432, net1_test_acc = 0.8212
Epoch: [ 67] [ 50/4000] time: 39105.5696, dice0 = 0.03092, cross0 = 0.0317, kl0 = 0.0024, exclusion0 = 0.0286,     dice1 = 0.11347, cross1 = 0.1582, kl1 = 0.0079, exclusion1 = 0.0751
1.1526482
Epoch: [ 67] [100/4000] time: 39112.8896, net0_loss = 0.15638, net0_acc = 0.9710, net0_test_acc = 0.8961,     net1_loss = 0.09119, net1_acc = 0.9828, net1_test_acc = 0.9686
Epoch: [ 67] [100/4000] time: 39112.8896, dice0 = 0.06255, cross0 = 0.0706, kl0 = 0.0027, exclusion0 = 0.0438,     dice1 = 0.03629, cross1 = 0.0415, kl1 = 0.0023, exclusion1 = 0.0244
1.1895096
Epoch: [ 67] [150/4000] time: 39120.4386, net0_loss = 0.23800, net0_acc = 0.9629, net0_test_acc = 0.9220,     net1_loss = 0.09668, net1_acc = 0.9855, net1_test_acc = 0.9795
Epoch: [ 67] [150/4000] time: 39120.4387, dice0 = 0.08612, cross0 = 0.0928, kl0 = 0.0209, exclusion0 = 0.0972,     dice1 = 0.03730, cross1 = 0.0355, kl1 = 0.0064, exclusion1 = 0.0413
1.1940866
Epoch: [ 67] [200/4000] time: 39127.9060, net0_loss = 0.15479, net0_acc = 0.9716, net0_test_acc = 0.9040,     net1_loss = 0.26419, net1_acc = 0.9545, net1_test_acc = 0.9312
Epoch: [ 67] [200/4000] time: 39127.9060, dice0 = 0.05907, cross0 = 0.0755, kl0 = 0.0036, exclusion0 = 0.0369,     dice1 = 0.09519, cross1 = 0.1289, kl1 = 0.0108, exclusion1 = 0.0693
1.1037874
Epoch: [ 67] [250/4000] time: 39135.3507, net0_loss = 0.08806, net0_acc = 0.9861, net0_test_acc = 0.9515,     net1_loss = 0.19601, net1_acc = 0.9658, net1_test_acc = 0.9340
Epoch: [ 67] [250/4000] time: 39135.3507, dice0 = 0.03424, cross0 = 0.0363, kl0 = 0.0034, exclusion0 = 0.0317,     dice1 = 0.07326, cross1 = 0.0922, kl1 = 0.0063, exclusion1 = 0.0549
1.1046528
Epoch: [ 67] [300/4000] time: 39142.7362, net0_loss = 0.21837, net0_acc = 0.9651, net0_test_acc = 0.7614,     net1_loss = 0.21805, net1_acc = 0.9644, net1_test_acc = 0.8255
Epoch: [ 67] [300/4000] time: 39142.7364, dice0 = 0.08255, cross0 = 0.0884, kl0 = 0.0108, exclusion0 = 0.0840,     dice1 = 0.08104, cross1 = 0.1007, kl1 = 0.0094, exclusion1 = 0.0633
1.1713076
Epoch: [ 67] [350/4000] time: 39150.1545, net0_loss = 0.15022, net0_acc = 0.9767, net0_test_acc = 0.8304,     net1_loss = 0.06319, net1_acc = 0.9906, net1_test_acc = 0.8277
Epoch: [ 67] [350/4000] time: 39150.1546, dice0 = 0.05598, cross0 = 0.0607, kl0 = 0.0086, exclusion0 = 0.0585,     dice1 = 0.02592, cross1 = 0.0229, kl1 = 0.0024, exclusion1 = 0.0263
1.2378302
Epoch: [ 67] [400/4000] time: 39157.5978, net0_loss = 0.22988, net0_acc = 0.9616, net0_test_acc = 0.9765,     net1_loss = 0.22609, net1_acc = 0.9601, net1_test_acc = 0.9534
Epoch: [ 67] [400/4000] time: 39157.5978, dice0 = 0.08297, cross0 = 0.1136, kl0 = 0.0069, exclusion0 = 0.0597,     dice1 = 0.08385, cross1 = 0.0993, kl1 = 0.0109, exclusion1 = 0.0750
1.0671352
Epoch: [ 67] [450/4000] time: 39164.9670, net0_loss = 0.15524, net0_acc = 0.9699, net0_test_acc = 0.9906,     net1_loss = 0.21199, net1_acc = 0.9677, net1_test_acc = 0.9518
Epoch: [ 67] [450/4000] time: 39164.9670, dice0 = 0.06006, cross0 = 0.0770, kl0 = 0.0024, exclusion0 = 0.0340,     dice1 = 0.08210, cross1 = 0.0801, kl1 = 0.0097, exclusion1 = 0.0898
1.1539216
Epoch: [ 67] [500/4000] time: 39172.3913, net0_loss = 0.23108, net0_acc = 0.9601, net0_test_acc = 0.9482,     net1_loss = 0.37704, net1_acc = 0.9444, net1_test_acc = 0.8218
Epoch: [ 67] [500/4000] time: 39172.3914, dice0 = 0.08747, cross0 = 0.1022, kl0 = 0.0095, exclusion0 = 0.0733,     dice1 = 0.12086, cross1 = 0.1594, kl1 = 0.0394, exclusion1 = 0.1541
1.1271573
Epoch: [ 67] [550/4000] time: 39179.8077, net0_loss = 0.11681, net0_acc = 0.9817, net0_test_acc = 0.9807,     net1_loss = 0.17312, net1_acc = 0.9707, net1_test_acc = 0.8988
Epoch: [ 67] [550/4000] time: 39179.8077, dice0 = 0.04608, cross0 = 0.0437, kl0 = 0.0067, exclusion0 = 0.0474,     dice1 = 0.06123, cross1 = 0.0889, kl1 = 0.0063, exclusion1 = 0.0397
1.2083287
Epoch: [ 67] [600/4000] time: 39187.1943, net0_loss = 0.24189, net0_acc = 0.9618, net0_test_acc = 0.9499,     net1_loss = 0.06226, net1_acc = 0.9926, net1_test_acc = 0.9666
Epoch: [ 67] [600/4000] time: 39187.1943, dice0 = 0.09369, cross0 = 0.0883, kl0 = 0.0158, exclusion0 = 0.1041,     dice1 = 0.02200, cross1 = 0.0191, kl1 = 0.0083, exclusion1 = 0.0341
1.1576879
Epoch: [ 67] [650/4000] time: 39194.6163, net0_loss = 0.08755, net0_acc = 0.9868, net0_test_acc = 0.9450,     net1_loss = 0.22368, net1_acc = 0.9626, net1_test_acc = 0.9813
Epoch: [ 67] [650/4000] time: 39194.6163, dice0 = 0.03411, cross0 = 0.0335, kl0 = 0.0038, exclusion0 = 0.0362,     dice1 = 0.08182, cross1 = 0.1027, kl1 = 0.0111, exclusion1 = 0.0672
1.1331933
Epoch: [ 67] [700/4000] time: 39201.9812, net0_loss = 0.08194, net0_acc = 0.9851, net0_test_acc = 0.8989,     net1_loss = 0.13353, net1_acc = 0.9761, net1_test_acc = 0.9531
Epoch: [ 67] [700/4000] time: 39201.9813, dice0 = 0.03317, cross0 = 0.0348, kl0 = 0.0019, exclusion0 = 0.0260,     dice1 = 0.05294, cross1 = 0.0597, kl1 = 0.0039, exclusion1 = 0.0379
1.1657047
Epoch: [ 67] [750/4000] time: 39209.3974, net0_loss = 0.12876, net0_acc = 0.9789, net0_test_acc = 0.9081,     net1_loss = 0.21724, net1_acc = 0.9657, net1_test_acc = 0.9649
Epoch: [ 67] [750/4000] time: 39209.3976, dice0 = 0.05026, cross0 = 0.0526, kl0 = 0.0052, exclusion0 = 0.0467,     dice1 = 0.07874, cross1 = 0.0941, kl1 = 0.0146, exclusion1 = 0.0742
1.1428117
Epoch: [ 67] [800/4000] time: 39216.8156, net0_loss = 0.09105, net0_acc = 0.9832, net0_test_acc = 0.9723,     net1_loss = 0.13941, net1_acc = 0.9755, net1_test_acc = 0.9336
Epoch: [ 67] [800/4000] time: 39216.8156, dice0 = 0.03667, cross0 = 0.0417, kl0 = 0.0013, exclusion0 = 0.0240,     dice1 = 0.05271, cross1 = 0.0664, kl1 = 0.0035, exclusion1 = 0.0370
1.0840467
Epoch: [ 67] [850/4000] time: 39224.2874, net0_loss = 0.08538, net0_acc = 0.9853, net0_test_acc = 0.9123,     net1_loss = 0.11433, net1_acc = 0.9814, net1_test_acc = 0.9727
Epoch: [ 67] [850/4000] time: 39224.2875, dice0 = 0.03432, cross0 = 0.0348, kl0 = 0.0019, exclusion0 = 0.0306,     dice1 = 0.04610, cross1 = 0.0433, kl1 = 0.0043, exclusion1 = 0.0455
1.1027325
Epoch: [ 67] [900/4000] time: 39231.7133, net0_loss = 0.09348, net0_acc = 0.9861, net0_test_acc = 0.9799,     net1_loss = 0.13247, net1_acc = 0.9803, net1_test_acc = 0.9537
Epoch: [ 67] [900/4000] time: 39231.7134, dice0 = 0.03629, cross0 = 0.0339, kl0 = 0.0060, exclusion0 = 0.0405,     dice1 = 0.04901, cross1 = 0.0535, kl1 = 0.0110, exclusion1 = 0.0488
1.26832
Epoch: [ 67] [950/4000] time: 39239.0998, net0_loss = 0.09218, net0_acc = 0.9841, net0_test_acc = 0.7572,     net1_loss = 0.18306, net1_acc = 0.9715, net1_test_acc = 0.9128
Epoch: [ 67] [950/4000] time: 39239.0999, dice0 = 0.03394, cross0 = 0.0451, kl0 = 0.0035, exclusion0 = 0.0227,     dice1 = 0.06754, cross1 = 0.0698, kl1 = 0.0138, exclusion1 = 0.0776
1.1729232
Epoch: [ 67] [1000/4000] time: 39246.5387, net0_loss = 0.11255, net0_acc = 0.9827, net0_test_acc = 0.9379,     net1_loss = 0.08384, net1_acc = 0.9882, net1_test_acc = 0.9441
Epoch: [ 67] [1000/4000] time: 39246.5388, dice0 = 0.04204, cross0 = 0.0450, kl0 = 0.0069, exclusion0 = 0.0442,     dice1 = 0.03112, cross1 = 0.0273, kl1 = 0.0085, exclusion1 = 0.0423
1.2246252
Epoch: [ 67] [1050/4000] time: 39253.9465, net0_loss = 0.04575, net0_acc = 0.9938, net0_test_acc = 0.9158,     net1_loss = 0.14432, net1_acc = 0.9739, net1_test_acc = 0.9529
Epoch: [ 67] [1050/4000] time: 39253.9466, dice0 = 0.01736, cross0 = 0.0151, kl0 = 0.0036, exclusion0 = 0.0229,     dice1 = 0.05659, cross1 = 0.0643, kl1 = 0.0041, exclusion1 = 0.0428
1.1351128
Epoch: [ 67] [1100/4000] time: 39261.3640, net0_loss = 0.22086, net0_acc = 0.9622, net0_test_acc = 0.9375,     net1_loss = 0.25530, net1_acc = 0.9608, net1_test_acc = 0.9345
Epoch: [ 67] [1100/4000] time: 39261.3641, dice0 = 0.08609, cross0 = 0.0896, kl0 = 0.0091, exclusion0 = 0.0813,     dice1 = 0.09069, cross1 = 0.1141, kl1 = 0.0127, exclusion1 = 0.0884
1.2162675
Epoch: [ 67] [1150/4000] time: 39268.7035, net0_loss = 0.06301, net0_acc = 0.9899, net0_test_acc = 0.8176,     net1_loss = 0.23147, net1_acc = 0.9646, net1_test_acc = 0.9328
Epoch: [ 67] [1150/4000] time: 39268.7036, dice0 = 0.02375, cross0 = 0.0271, kl0 = 0.0029, exclusion0 = 0.0214,     dice1 = 0.08286, cross1 = 0.0954, kl1 = 0.0182, exclusion1 = 0.0883
1.1173896
Epoch: [ 67] [1200/4000] time: 39276.1895, net0_loss = 0.11799, net0_acc = 0.9807, net0_test_acc = 0.8966,     net1_loss = 0.26948, net1_acc = 0.9588, net1_test_acc = 0.9416
Epoch: [ 67] [1200/4000] time: 39276.1896, dice0 = 0.04427, cross0 = 0.0533, kl0 = 0.0039, exclusion0 = 0.0369,     dice1 = 0.09241, cross1 = 0.1004, kl1 = 0.0336, exclusion1 = 0.1197
1.1648569
Epoch: [ 67] [1250/4000] time: 39283.5263, net0_loss = 0.27675, net0_acc = 0.9522, net0_test_acc = 0.9553,     net1_loss = 0.28364, net1_acc = 0.9573, net1_test_acc = 0.9367
Epoch: [ 67] [1250/4000] time: 39283.5264, dice0 = 0.09557, cross0 = 0.1405, kl0 = 0.0126, exclusion0 = 0.0688,     dice1 = 0.09070, cross1 = 0.1478, kl1 = 0.0177, exclusion1 = 0.0725
1.163077
Epoch: [ 67] [1300/4000] time: 39291.0332, net0_loss = 0.22421, net0_acc = 0.9621, net0_test_acc = 0.8338,     net1_loss = 0.11440, net1_acc = 0.9829, net1_test_acc = 0.9377
Epoch: [ 67] [1300/4000] time: 39291.0333, dice0 = 0.07991, cross0 = 0.0973, kl0 = 0.0184, exclusion0 = 0.0755,     dice1 = 0.04322, cross1 = 0.0432, kl1 = 0.0086, exclusion1 = 0.0473
1.1953948
Epoch: [ 67] [1350/4000] time: 39298.4456, net0_loss = 0.03250, net0_acc = 0.9955, net0_test_acc = 0.9690,     net1_loss = 0.10014, net1_acc = 0.9855, net1_test_acc = 0.9623
Epoch: [ 67] [1350/4000] time: 39298.4456, dice0 = 0.01340, cross0 = 0.0110, kl0 = 0.0009, exclusion0 = 0.0152,     dice1 = 0.03966, cross1 = 0.0373, kl1 = 0.0043, exclusion1 = 0.0421
1.2067673
Epoch: [ 67] [1400/4000] time: 39305.8475, net0_loss = 0.07629, net0_acc = 0.9878, net0_test_acc = 0.9531,     net1_loss = 0.22417, net1_acc = 0.9641, net1_test_acc = 0.9907
Epoch: [ 67] [1400/4000] time: 39305.8476, dice0 = 0.03112, cross0 = 0.0297, kl0 = 0.0017, exclusion0 = 0.0291,     dice1 = 0.07823, cross1 = 0.1001, kl1 = 0.0188, exclusion1 = 0.0729
1.227424
Epoch: [ 67] [1450/4000] time: 39313.2562, net0_loss = 0.18882, net0_acc = 0.9692, net0_test_acc = 0.9585,     net1_loss = 0.12756, net1_acc = 0.9775, net1_test_acc = 0.9156
Epoch: [ 67] [1450/4000] time: 39313.2563, dice0 = 0.07119, cross0 = 0.0808, kl0 = 0.0086, exclusion0 = 0.0650,     dice1 = 0.05013, cross1 = 0.0532, kl1 = 0.0048, exclusion1 = 0.0436
1.2397588
Epoch: [ 67] [1500/4000] time: 39320.6979, net0_loss = 0.23441, net0_acc = 0.9584, net0_test_acc = 0.8779,     net1_loss = 0.06877, net1_acc = 0.9896, net1_test_acc = 0.9113
Epoch: [ 67] [1500/4000] time: 39320.6980, dice0 = 0.08921, cross0 = 0.1018, kl0 = 0.0088, exclusion0 = 0.0781,     dice1 = 0.02807, cross1 = 0.0239, kl1 = 0.0024, exclusion1 = 0.0311
1.0656515
Epoch: [ 67] [1550/4000] time: 39328.0919, net0_loss = 0.11620, net0_acc = 0.9841, net0_test_acc = 0.8452,     net1_loss = 0.16605, net1_acc = 0.9735, net1_test_acc = 0.9309
Epoch: [ 67] [1550/4000] time: 39328.0920, dice0 = 0.04316, cross0 = 0.0416, kl0 = 0.0100, exclusion0 = 0.0529,     dice1 = 0.05773, cross1 = 0.0718, kl1 = 0.0124, exclusion1 = 0.0608
1.127363
Epoch: [ 67] [1600/4000] time: 39335.5025, net0_loss = 0.11694, net0_acc = 0.9791, net0_test_acc = 0.9823,     net1_loss = 0.09256, net1_acc = 0.9844, net1_test_acc = 0.9071
Epoch: [ 67] [1600/4000] time: 39335.5026, dice0 = 0.04472, cross0 = 0.0559, kl0 = 0.0029, exclusion0 = 0.0297,     dice1 = 0.03760, cross1 = 0.0369, kl1 = 0.0017, exclusion1 = 0.0345
1.1541624
Epoch: [ 67] [1650/4000] time: 39342.9271, net0_loss = 0.12400, net0_acc = 0.9801, net0_test_acc = 0.9584,     net1_loss = 0.18850, net1_acc = 0.9700, net1_test_acc = 0.9657
Epoch: [ 67] [1650/4000] time: 39342.9271, dice0 = 0.04664, cross0 = 0.0542, kl0 = 0.0057, exclusion0 = 0.0406,     dice1 = 0.07488, cross1 = 0.0704, kl1 = 0.0088, exclusion1 = 0.0776
1.0600824
Epoch: [ 67] [1700/4000] time: 39350.3330, net0_loss = 0.12774, net0_acc = 0.9814, net0_test_acc = 0.9034,     net1_loss = 0.08811, net1_acc = 0.9869, net1_test_acc = 0.9300
Epoch: [ 67] [1700/4000] time: 39350.3330, dice0 = 0.04971, cross0 = 0.0467, kl0 = 0.0080, exclusion0 = 0.0547,     dice1 = 0.03410, cross1 = 0.0306, kl1 = 0.0062, exclusion1 = 0.0407
1.1430048
Epoch: [ 67] [1750/4000] time: 39357.7197, net0_loss = 0.24874, net0_acc = 0.9596, net0_test_acc = 0.9283,     net1_loss = 0.08457, net1_acc = 0.9875, net1_test_acc = 0.8996
Epoch: [ 67] [1750/4000] time: 39357.7197, dice0 = 0.08849, cross0 = 0.1193, kl0 = 0.0115, exclusion0 = 0.0703,     dice1 = 0.03039, cross1 = 0.0325, kl1 = 0.0088, exclusion1 = 0.0346
1.1861292
Epoch: [ 67] [1800/4000] time: 39365.1448, net0_loss = 0.13490, net0_acc = 0.9790, net0_test_acc = 0.9728,     net1_loss = 0.14528, net1_acc = 0.9772, net1_test_acc = 0.9498
Epoch: [ 67] [1800/4000] time: 39365.1448, dice0 = 0.04751, cross0 = 0.0581, kl0 = 0.0111, exclusion0 = 0.0476,     dice1 = 0.05375, cross1 = 0.0622, kl1 = 0.0074, exclusion1 = 0.0512
1.0486872
Epoch: [ 67] [1850/4000] time: 39372.5533, net0_loss = 0.12905, net0_acc = 0.9804, net0_test_acc = 0.9472,     net1_loss = 0.18421, net1_acc = 0.9701, net1_test_acc = 0.9483
Epoch: [ 67] [1850/4000] time: 39372.5533, dice0 = 0.05075, cross0 = 0.0475, kl0 = 0.0061, exclusion0 = 0.0554,     dice1 = 0.06718, cross1 = 0.0797, kl1 = 0.0123, exclusion1 = 0.0624
1.038946
Epoch: [ 67] [1900/4000] time: 39379.9895, net0_loss = 0.16056, net0_acc = 0.9751, net0_test_acc = 0.9434,     net1_loss = 0.07024, net1_acc = 0.9888, net1_test_acc = 0.7727
Epoch: [ 67] [1900/4000] time: 39379.9896, dice0 = 0.05816, cross0 = 0.0674, kl0 = 0.0138, exclusion0 = 0.0562,     dice1 = 0.02791, cross1 = 0.0283, kl1 = 0.0023, exclusion1 = 0.0258
1.1727365
Epoch: [ 67] [1950/4000] time: 39387.3642, net0_loss = 0.07582, net0_acc = 0.9873, net0_test_acc = 0.8612,     net1_loss = 0.05840, net1_acc = 0.9922, net1_test_acc = 0.9080
Epoch: [ 67] [1950/4000] time: 39387.3643, dice0 = 0.02991, cross0 = 0.0317, kl0 = 0.0025, exclusion0 = 0.0259,     dice1 = 0.02122, cross1 = 0.0238, kl1 = 0.0051, exclusion1 = 0.0217
1.2521054
Epoch: [ 67] [2000/4000] time: 39394.7858, net0_loss = 0.08913, net0_acc = 0.9864, net0_test_acc = 0.9149,     net1_loss = 0.23338, net1_acc = 0.9635, net1_test_acc = 0.8062
Epoch: [ 67] [2000/4000] time: 39394.7858, dice0 = 0.03509, cross0 = 0.0360, kl0 = 0.0029, exclusion0 = 0.0331,     dice1 = 0.08276, cross1 = 0.1063, kl1 = 0.0161, exclusion1 = 0.0725
1.1302114
Epoch: [ 67] [2050/4000] time: 39402.2525, net0_loss = 0.09271, net0_acc = 0.9850, net0_test_acc = 0.9349,     net1_loss = 0.10759, net1_acc = 0.9804, net1_test_acc = 0.9406
Epoch: [ 67] [2050/4000] time: 39402.2525, dice0 = 0.03774, cross0 = 0.0363, kl0 = 0.0017, exclusion0 = 0.0356,     dice1 = 0.04264, cross1 = 0.0469, kl1 = 0.0034, exclusion1 = 0.0328
1.1822991
Epoch: [ 67] [2100/4000] time: 39409.6351, net0_loss = 0.19193, net0_acc = 0.9676, net0_test_acc = 0.9269,     net1_loss = 0.13570, net1_acc = 0.9766, net1_test_acc = 0.9383
Epoch: [ 67] [2100/4000] time: 39409.6352, dice0 = 0.07440, cross0 = 0.0831, kl0 = 0.0060, exclusion0 = 0.0628,     dice1 = 0.05365, cross1 = 0.0534, kl1 = 0.0080, exclusion1 = 0.0494
1.1604733
Epoch: [ 67] [2150/4000] time: 39417.0567, net0_loss = 0.18013, net0_acc = 0.9710, net0_test_acc = 0.9745,     net1_loss = 0.13123, net1_acc = 0.9763, net1_test_acc = 0.9407
Epoch: [ 67] [2150/4000] time: 39417.0568, dice0 = 0.06731, cross0 = 0.0772, kl0 = 0.0096, exclusion0 = 0.0616,     dice1 = 0.04970, cross1 = 0.0650, kl1 = 0.0031, exclusion1 = 0.0299
1.3415215
Epoch: [ 67] [2200/4000] time: 39424.4686, net0_loss = 0.05907, net0_acc = 0.9917, net0_test_acc = 0.9128,     net1_loss = 0.20061, net1_acc = 0.9674, net1_test_acc = 0.8734
Epoch: [ 67] [2200/4000] time: 39424.4687, dice0 = 0.02398, cross0 = 0.0207, kl0 = 0.0019, exclusion0 = 0.0270,     dice1 = 0.07088, cross1 = 0.0819, kl1 = 0.0165, exclusion1 = 0.0792
1.2625582
Epoch: [ 67] [2250/4000] time: 39431.8665, net0_loss = 0.19354, net0_acc = 0.9696, net0_test_acc = 0.9528,     net1_loss = 0.11286, net1_acc = 0.9803, net1_test_acc = 0.9790
Epoch: [ 67] [2250/4000] time: 39431.8666, dice0 = 0.06647, cross0 = 0.1027, kl0 = 0.0056, exclusion0 = 0.0431,     dice1 = 0.04348, cross1 = 0.0519, kl1 = 0.0033, exclusion1 = 0.0317
1.091397
Epoch: [ 67] [2300/4000] time: 39439.3094, net0_loss = 0.06515, net0_acc = 0.9907, net0_test_acc = 0.8717,     net1_loss = 0.10021, net1_acc = 0.9854, net1_test_acc = 0.8591
Epoch: [ 67] [2300/4000] time: 39439.3095, dice0 = 0.02625, cross0 = 0.0232, kl0 = 0.0031, exclusion0 = 0.0284,     dice1 = 0.03761, cross1 = 0.0416, kl1 = 0.0040, exclusion1 = 0.0380
1.1185578
Epoch: [ 67] [2350/4000] time: 39446.6538, net0_loss = 0.04391, net0_acc = 0.9932, net0_test_acc = 0.9329,     net1_loss = 0.05921, net1_acc = 0.9902, net1_test_acc = 0.9151
Epoch: [ 67] [2350/4000] time: 39446.6538, dice0 = 0.01752, cross0 = 0.0170, kl0 = 0.0018, exclusion0 = 0.0170,     dice1 = 0.02340, cross1 = 0.0261, kl1 = 0.0013, exclusion1 = 0.0181
1.2235812
Epoch: [ 67] [2400/4000] time: 39454.1457, net0_loss = 0.32053, net0_acc = 0.9455, net0_test_acc = 0.9525,     net1_loss = 0.08285, net1_acc = 0.9864, net1_test_acc = 0.9434
Epoch: [ 67] [2400/4000] time: 39454.1458, dice0 = 0.11456, cross0 = 0.1545, kl0 = 0.0117, exclusion0 = 0.0913,     dice1 = 0.03149, cross1 = 0.0389, kl1 = 0.0023, exclusion1 = 0.0227
1.2107974
Epoch: [ 67] [2450/4000] time: 39461.5538, net0_loss = 0.11986, net0_acc = 0.9822, net0_test_acc = 0.9309,     net1_loss = 0.07748, net1_acc = 0.9887, net1_test_acc = 0.9901
Epoch: [ 67] [2450/4000] time: 39461.5539, dice0 = 0.04067, cross0 = 0.0525, kl0 = 0.0091, exclusion0 = 0.0443,     dice1 = 0.03150, cross1 = 0.0281, kl1 = 0.0023, exclusion1 = 0.0334
1.0862037
Epoch: [ 67] [2500/4000] time: 39468.9279, net0_loss = 0.16936, net0_acc = 0.9756, net0_test_acc = 0.9209,     net1_loss = 0.06761, net1_acc = 0.9895, net1_test_acc = 0.7996
Epoch: [ 67] [2500/4000] time: 39468.9280, dice0 = 0.06398, cross0 = 0.0581, kl0 = 0.0134, exclusion0 = 0.0812,     dice1 = 0.02612, cross1 = 0.0274, kl1 = 0.0032, exclusion1 = 0.0250
1.2531322
Epoch: [ 67] [2550/4000] time: 39476.3524, net0_loss = 0.14051, net0_acc = 0.9767, net0_test_acc = 0.8767,     net1_loss = 0.10931, net1_acc = 0.9825, net1_test_acc = 0.9835
Epoch: [ 67] [2550/4000] time: 39476.3525, dice0 = 0.05178, cross0 = 0.0536, kl0 = 0.0137, exclusion0 = 0.0565,     dice1 = 0.03868, cross1 = 0.0494, kl1 = 0.0081, exclusion1 = 0.0344
1.2668964
Epoch: [ 67] [2600/4000] time: 39483.7604, net0_loss = 0.17240, net0_acc = 0.9726, net0_test_acc = 0.9267,     net1_loss = 0.05012, net1_acc = 0.9918, net1_test_acc = 0.9138
Epoch: [ 67] [2600/4000] time: 39483.7605, dice0 = 0.06393, cross0 = 0.0695, kl0 = 0.0122, exclusion0 = 0.0658,     dice1 = 0.01959, cross1 = 0.0223, kl1 = 0.0015, exclusion1 = 0.0150
1.1719606
Epoch: [ 67] [2650/4000] time: 39491.1255, net0_loss = 0.11534, net0_acc = 0.9812, net0_test_acc = 0.8550,     net1_loss = 0.14215, net1_acc = 0.9760, net1_test_acc = 0.8996
Epoch: [ 67] [2650/4000] time: 39491.1256, dice0 = 0.04568, cross0 = 0.0458, kl0 = 0.0041, exclusion0 = 0.0436,     dice1 = 0.05016, cross1 = 0.0695, kl1 = 0.0063, exclusion1 = 0.0387
1.1626287
Epoch: [ 67] [2700/4000] time: 39498.5644, net0_loss = 0.10053, net0_acc = 0.9839, net0_test_acc = 0.9161,     net1_loss = 0.27560, net1_acc = 0.9586, net1_test_acc = 0.7944
Epoch: [ 67] [2700/4000] time: 39498.5645, dice0 = 0.04016, cross0 = 0.0385, kl0 = 0.0041, exclusion0 = 0.0395,     dice1 = 0.09764, cross1 = 0.1051, kl1 = 0.0268, exclusion1 = 0.1189
1.153662
Epoch: [ 67] [2750/4000] time: 39506.0204, net0_loss = 0.16112, net0_acc = 0.9737, net0_test_acc = 0.8982,     net1_loss = 0.28489, net1_acc = 0.9529, net1_test_acc = 0.8908
Epoch: [ 67] [2750/4000] time: 39506.0205, dice0 = 0.06016, cross0 = 0.0676, kl0 = 0.0082, exclusion0 = 0.0586,     dice1 = 0.10173, cross1 = 0.1239, kl1 = 0.0181, exclusion1 = 0.1004
1.0831556
Epoch: [ 67] [2800/4000] time: 39513.4185, net0_loss = 0.08479, net0_acc = 0.9885, net0_test_acc = 0.9359,     net1_loss = 0.05141, net1_acc = 0.9933, net1_test_acc = 0.9230
Epoch: [ 67] [2800/4000] time: 39513.4186, dice0 = 0.02895, cross0 = 0.0289, kl0 = 0.0108, exclusion0 = 0.0432,     dice1 = 0.01960, cross1 = 0.0181, kl1 = 0.0042, exclusion1 = 0.0233
1.2759094
Epoch: [ 67] [2850/4000] time: 39520.8469, net0_loss = 0.09142, net0_acc = 0.9873, net0_test_acc = 0.9090,     net1_loss = 0.03414, net1_acc = 0.9957, net1_test_acc = 0.9234
Epoch: [ 67] [2850/4000] time: 39520.8469, dice0 = 0.03502, cross0 = 0.0303, kl0 = 0.0064, exclusion0 = 0.0459,     dice1 = 0.01309, cross1 = 0.0108, kl1 = 0.0029, exclusion1 = 0.0176
1.2809057
Epoch: [ 67] [2900/4000] time: 39528.2266, net0_loss = 0.15765, net0_acc = 0.9748, net0_test_acc = 0.9393,     net1_loss = 0.24116, net1_acc = 0.9581, net1_test_acc = 0.9503
Epoch: [ 67] [2900/4000] time: 39528.2267, dice0 = 0.05462, cross0 = 0.0767, kl0 = 0.0086, exclusion0 = 0.0441,     dice1 = 0.08839, cross1 = 0.1162, kl1 = 0.0078, exclusion1 = 0.0653
1.0967104
Epoch: [ 67] [2950/4000] time: 39535.6127, net0_loss = 0.09196, net0_acc = 0.9836, net0_test_acc = 0.9810,     net1_loss = 0.12157, net1_acc = 0.9830, net1_test_acc = 0.9879
Epoch: [ 67] [2950/4000] time: 39535.6129, dice0 = 0.03426, cross0 = 0.0479, kl0 = 0.0011, exclusion0 = 0.0184,     dice1 = 0.04920, cross1 = 0.0417, kl1 = 0.0043, exclusion1 = 0.0570
1.1267955
Epoch: [ 67] [3000/4000] time: 39543.0590, net0_loss = 0.11640, net0_acc = 0.9812, net0_test_acc = 0.9632,     net1_loss = 0.05202, net1_acc = 0.9924, net1_test_acc = 0.9574
Epoch: [ 67] [3000/4000] time: 39543.0590, dice0 = 0.04473, cross0 = 0.0450, kl0 = 0.0073, exclusion0 = 0.0461,     dice1 = 0.02128, cross1 = 0.0176, kl1 = 0.0018, exclusion1 = 0.0244
1.3056575
Epoch: [ 67] [3050/4000] time: 39550.1960, net0_loss = 0.04897, net0_acc = 0.9938, net0_test_acc = 0.9796,     net1_loss = 0.12836, net1_acc = 0.9787, net1_test_acc = 0.9194
Epoch: [ 67] [3050/4000] time: 39550.1961, dice0 = 0.01744, cross0 = 0.0195, kl0 = 0.0032, exclusion0 = 0.0209,     dice1 = 0.05137, cross1 = 0.0507, kl1 = 0.0044, exclusion1 = 0.0483
1.1669602
Epoch: [ 67] [3100/4000] time: 39557.8656, net0_loss = 0.13167, net0_acc = 0.9775, net0_test_acc = 0.8755,     net1_loss = 0.20614, net1_acc = 0.9655, net1_test_acc = 0.9872
Epoch: [ 67] [3100/4000] time: 39557.8656, dice0 = 0.05241, cross0 = 0.0542, kl0 = 0.0039, exclusion0 = 0.0462,     dice1 = 0.07506, cross1 = 0.0931, kl1 = 0.0112, exclusion1 = 0.0648
1.1110888
Epoch: [ 67] [3150/4000] time: 39565.3693, net0_loss = 0.13552, net0_acc = 0.9774, net0_test_acc = 0.8990,     net1_loss = 0.10441, net1_acc = 0.9825, net1_test_acc = 0.9898
Epoch: [ 67] [3150/4000] time: 39565.3693, dice0 = 0.05182, cross0 = 0.0573, kl0 = 0.0060, exclusion0 = 0.0469,     dice1 = 0.04001, cross1 = 0.0474, kl1 = 0.0031, exclusion1 = 0.0308
1.2139156
Epoch: [ 67] [3200/4000] time: 39572.8109, net0_loss = 0.07280, net0_acc = 0.9889, net0_test_acc = 0.9071,     net1_loss = 0.14042, net1_acc = 0.9786, net1_test_acc = 0.9098
Epoch: [ 67] [3200/4000] time: 39572.8110, dice0 = 0.02780, cross0 = 0.0269, kl0 = 0.0049, exclusion0 = 0.0312,     dice1 = 0.04900, cross1 = 0.0516, kl1 = 0.0166, exclusion1 = 0.0630
1.195161
Epoch: [ 67] [3250/4000] time: 39580.2111, net0_loss = 0.14999, net0_acc = 0.9784, net0_test_acc = 0.9650,     net1_loss = 0.11448, net1_acc = 0.9826, net1_test_acc = 0.9598
Epoch: [ 67] [3250/4000] time: 39580.2112, dice0 = 0.05417, cross0 = 0.0552, kl0 = 0.0128, exclusion0 = 0.0684,     dice1 = 0.04443, cross1 = 0.0430, kl1 = 0.0057, exclusion1 = 0.0483
1.1737804
Epoch: [ 67] [3300/4000] time: 39587.6086, net0_loss = 0.04915, net0_acc = 0.9927, net0_test_acc = 0.7407,     net1_loss = 0.12441, net1_acc = 0.9808, net1_test_acc = 0.8978
Epoch: [ 67] [3300/4000] time: 39587.6087, dice0 = 0.02003, cross0 = 0.0162, kl0 = 0.0021, exclusion0 = 0.0238,     dice1 = 0.04513, cross1 = 0.0523, kl1 = 0.0083, exclusion1 = 0.0457
1.1286112
Epoch: [ 67] [3350/4000] time: 39594.9998, net0_loss = 0.16001, net0_acc = 0.9725, net0_test_acc = 0.8371,     net1_loss = 0.07216, net1_acc = 0.9913, net1_test_acc = 0.8207
Epoch: [ 67] [3350/4000] time: 39594.9998, dice0 = 0.05985, cross0 = 0.0737, kl0 = 0.0057, exclusion0 = 0.0472,     dice1 = 0.02673, cross1 = 0.0212, kl1 = 0.0106, exclusion1 = 0.0380
1.2635121
Epoch: [ 67] [3400/4000] time: 39602.3384, net0_loss = 0.09069, net0_acc = 0.9867, net0_test_acc = 0.9855,     net1_loss = 0.11920, net1_acc = 0.9838, net1_test_acc = 0.9703
Epoch: [ 67] [3400/4000] time: 39602.3384, dice0 = 0.03650, cross0 = 0.0331, kl0 = 0.0032, exclusion0 = 0.0389,     dice1 = 0.04660, cross1 = 0.0426, kl1 = 0.0087, exclusion1 = 0.0513
1.1672786
Epoch: [ 67] [3450/4000] time: 39609.8931, net0_loss = 0.19734, net0_acc = 0.9661, net0_test_acc = 0.9359,     net1_loss = 0.10705, net1_acc = 0.9829, net1_test_acc = 0.9413
Epoch: [ 67] [3450/4000] time: 39609.8932, dice0 = 0.07220, cross0 = 0.0851, kl0 = 0.0131, exclusion0 = 0.0670,     dice1 = 0.04214, cross1 = 0.0417, kl1 = 0.0050, exclusion1 = 0.0415
1.0761789
Epoch: [ 67] [3500/4000] time: 39617.2828, net0_loss = 0.09319, net0_acc = 0.9870, net0_test_acc = 0.9509,     net1_loss = 0.05680, net1_acc = 0.9917, net1_test_acc = 0.9559
Epoch: [ 67] [3500/4000] time: 39617.2828, dice0 = 0.03653, cross0 = 0.0313, kl0 = 0.0060, exclusion0 = 0.0448,     dice1 = 0.02247, cross1 = 0.0208, kl1 = 0.0040, exclusion1 = 0.0231
1.2615795
Epoch: [ 67] [3550/4000] time: 39624.6892, net0_loss = 0.08253, net0_acc = 0.9877, net0_test_acc = 0.9151,     net1_loss = 0.09365, net1_acc = 0.9828, net1_test_acc = 0.9753
Epoch: [ 67] [3550/4000] time: 39624.6893, dice0 = 0.03134, cross0 = 0.0323, kl0 = 0.0063, exclusion0 = 0.0316,     dice1 = 0.03580, cross1 = 0.0471, kl1 = 0.0016, exclusion1 = 0.0200
1.1554385
Epoch: [ 67] [3600/4000] time: 39632.0743, net0_loss = 0.10084, net0_acc = 0.9850, net0_test_acc = 0.9532,     net1_loss = 0.05439, net1_acc = 0.9915, net1_test_acc = 0.9347
Epoch: [ 67] [3600/4000] time: 39632.0744, dice0 = 0.04130, cross0 = 0.0350, kl0 = 0.0046, exclusion0 = 0.0446,     dice1 = 0.02059, cross1 = 0.0223, kl1 = 0.0034, exclusion1 = 0.0197
1.2403166
Epoch: [ 67] [3650/4000] time: 39639.4439, net0_loss = 0.12324, net0_acc = 0.9815, net0_test_acc = 0.9308,     net1_loss = 0.24567, net1_acc = 0.9644, net1_test_acc = 0.9284
Epoch: [ 67] [3650/4000] time: 39639.4440, dice0 = 0.04444, cross0 = 0.0494, kl0 = 0.0125, exclusion0 = 0.0464,     dice1 = 0.07458, cross1 = 0.1216, kl1 = 0.0247, exclusion1 = 0.0742
1.1907027
Epoch: [ 67] [3700/4000] time: 39646.8945, net0_loss = 0.09994, net0_acc = 0.9849, net0_test_acc = 0.9723,     net1_loss = 0.16722, net1_acc = 0.9730, net1_test_acc = 0.9361
Epoch: [ 67] [3700/4000] time: 39646.8946, dice0 = 0.03379, cross0 = 0.0517, kl0 = 0.0031, exclusion0 = 0.0257,     dice1 = 0.06288, cross1 = 0.0708, kl1 = 0.0075, exclusion1 = 0.0595
1.1623304
Epoch: [ 67] [3750/4000] time: 39654.3256, net0_loss = 0.07246, net0_acc = 0.9884, net0_test_acc = 0.7657,     net1_loss = 0.12438, net1_acc = 0.9803, net1_test_acc = 0.9373
Epoch: [ 67] [3750/4000] time: 39654.3257, dice0 = 0.02700, cross0 = 0.0315, kl0 = 0.0038, exclusion0 = 0.0242,     dice1 = 0.04752, cross1 = 0.0515, kl1 = 0.0049, exclusion1 = 0.0458
1.0637528
Epoch: [ 67] [3800/4000] time: 39661.6009, net0_loss = 0.10001, net0_acc = 0.9849, net0_test_acc = 0.8896,     net1_loss = 0.19097, net1_acc = 0.9704, net1_test_acc = 0.8495
Epoch: [ 67] [3800/4000] time: 39661.6010, dice0 = 0.03308, cross0 = 0.0519, kl0 = 0.0051, exclusion0 = 0.0249,     dice1 = 0.06744, cross1 = 0.0750, kl1 = 0.0203, exclusion1 = 0.0769
1.1427388
Epoch: [ 67] [3850/4000] time: 39669.0789, net0_loss = 0.15211, net0_acc = 0.9767, net0_test_acc = 0.9026,     net1_loss = 0.13675, net1_acc = 0.9788, net1_test_acc = 0.9689
Epoch: [ 67] [3850/4000] time: 39669.0789, dice0 = 0.05422, cross0 = 0.0657, kl0 = 0.0109, exclusion0 = 0.0536,     dice1 = 0.04739, cross1 = 0.0572, kl1 = 0.0116, exclusion1 = 0.0527
1.1384101
Epoch: [ 67] [3900/4000] time: 39676.5012, net0_loss = 0.16677, net0_acc = 0.9727, net0_test_acc = 0.9166,     net1_loss = 0.07976, net1_acc = 0.9890, net1_test_acc = 0.9771
Epoch: [ 67] [3900/4000] time: 39676.5013, dice0 = 0.06495, cross0 = 0.0678, kl0 = 0.0061, exclusion0 = 0.0620,     dice1 = 0.02863, cross1 = 0.0317, kl1 = 0.0080, exclusion1 = 0.0308
1.328663
Epoch: [ 67] [3950/4000] time: 39683.9588, net0_loss = 0.18787, net0_acc = 0.9673, net0_test_acc = 0.9143,     net1_loss = 0.08813, net1_acc = 0.9865, net1_test_acc = 0.9223
Epoch: [ 67] [3950/4000] time: 39683.9588, dice0 = 0.07003, cross0 = 0.0840, kl0 = 0.0088, exclusion0 = 0.0589,     dice1 = 0.03341, cross1 = 0.0348, kl1 = 0.0058, exclusion1 = 0.0340
1.1813413
Epoch: [ 68] [  0/4000] time: 39691.3669, net0_loss = 0.07207, net0_acc = 0.9903, net0_test_acc = 0.9563,     net1_loss = 0.06012, net1_acc = 0.9905, net1_test_acc = 0.9151
Epoch: [ 68] [  0/4000] time: 39691.3670, dice0 = 0.02579, cross0 = 0.0258, kl0 = 0.0075, exclusion0 = 0.0336,     dice1 = 0.02410, cross1 = 0.0237, kl1 = 0.0018, exclusion1 = 0.0228
1.1496141
Epoch: [ 68] [ 50/4000] time: 39698.7584, net0_loss = 0.16046, net0_acc = 0.9749, net0_test_acc = 0.7816,     net1_loss = 0.20473, net1_acc = 0.9653, net1_test_acc = 0.8044
Epoch: [ 68] [ 50/4000] time: 39698.7585, dice0 = 0.05813, cross0 = 0.0747, kl0 = 0.0059, exclusion0 = 0.0494,     dice1 = 0.07284, cross1 = 0.0967, kl1 = 0.0121, exclusion1 = 0.0583
1.1811938
Epoch: [ 68] [100/4000] time: 39706.1758, net0_loss = 0.20482, net0_acc = 0.9628, net0_test_acc = 0.8176,     net1_loss = 0.02395, net1_acc = 0.9969, net1_test_acc = 0.8329
Epoch: [ 68] [100/4000] time: 39706.1759, dice0 = 0.07430, cross0 = 0.1064, kl0 = 0.0043, exclusion0 = 0.0439,     dice1 = 0.01013, cross1 = 0.0077, kl1 = 0.0009, exclusion1 = 0.0113
1.2882705
Epoch: [ 68] [150/4000] time: 39713.5564, net0_loss = 0.20148, net0_acc = 0.9661, net0_test_acc = 0.9769,     net1_loss = 0.12117, net1_acc = 0.9803, net1_test_acc = 0.9526
Epoch: [ 68] [150/4000] time: 39713.5565, dice0 = 0.07999, cross0 = 0.0815, kl0 = 0.0070, exclusion0 = 0.0729,     dice1 = 0.04517, cross1 = 0.0495, kl1 = 0.0094, exclusion1 = 0.0436
1.0773984
Epoch: [ 68] [200/4000] time: 39720.9911, net0_loss = 0.12755, net0_acc = 0.9790, net0_test_acc = 0.9895,     net1_loss = 0.20026, net1_acc = 0.9663, net1_test_acc = 0.9495
Epoch: [ 68] [200/4000] time: 39720.9912, dice0 = 0.04685, cross0 = 0.0561, kl0 = 0.0067, exclusion0 = 0.0425,     dice1 = 0.06932, cross1 = 0.0992, kl1 = 0.0105, exclusion1 = 0.0531
1.1405911
Epoch: [ 68] [250/4000] time: 39728.3966, net0_loss = 0.17162, net0_acc = 0.9732, net0_test_acc = 0.9480,     net1_loss = 0.05303, net1_acc = 0.9927, net1_test_acc = 0.8004
Epoch: [ 68] [250/4000] time: 39728.3966, dice0 = 0.06162, cross0 = 0.0681, kl0 = 0.0170, exclusion0 = 0.0669,     dice1 = 0.01976, cross1 = 0.0222, kl1 = 0.0027, exclusion1 = 0.0195
1.2388195
Epoch: [ 68] [300/4000] time: 39735.7803, net0_loss = 0.05538, net0_acc = 0.9926, net0_test_acc = 0.9820,     net1_loss = 0.06123, net1_acc = 0.9915, net1_test_acc = 0.8819
Epoch: [ 68] [300/4000] time: 39735.7803, dice0 = 0.02249, cross0 = 0.0185, kl0 = 0.0025, exclusion0 = 0.0263,     dice1 = 0.02435, cross1 = 0.0201, kl1 = 0.0042, exclusion1 = 0.0294
1.1225265
Epoch: [ 68] [350/4000] time: 39743.1758, net0_loss = 0.23962, net0_acc = 0.9581, net0_test_acc = 0.9295,     net1_loss = 0.08886, net1_acc = 0.9868, net1_test_acc = 0.9644
Epoch: [ 68] [350/4000] time: 39743.1759, dice0 = 0.08969, cross0 = 0.1156, kl0 = 0.0055, exclusion0 = 0.0632,     dice1 = 0.03369, cross1 = 0.0318, kl1 = 0.0058, exclusion1 = 0.0409
1.1103992
Epoch: [ 68] [400/4000] time: 39750.6261, net0_loss = 0.18427, net0_acc = 0.9711, net0_test_acc = 0.9443,     net1_loss = 0.11379, net1_acc = 0.9805, net1_test_acc = 0.9763
Epoch: [ 68] [400/4000] time: 39750.6261, dice0 = 0.06833, cross0 = 0.0764, kl0 = 0.0113, exclusion0 = 0.0677,     dice1 = 0.04586, cross1 = 0.0482, kl1 = 0.0029, exclusion1 = 0.0366
1.1507683
Epoch: [ 68] [450/4000] time: 39757.9977, net0_loss = 0.25476, net0_acc = 0.9597, net0_test_acc = 0.8648,     net1_loss = 0.11309, net1_acc = 0.9819, net1_test_acc = 0.9533
Epoch: [ 68] [450/4000] time: 39757.9977, dice0 = 0.08734, cross0 = 0.1271, kl0 = 0.0127, exclusion0 = 0.0679,     dice1 = 0.04525, cross1 = 0.0392, kl1 = 0.0057, exclusion1 = 0.0516
1.1034833
Epoch: [ 68] [500/4000] time: 39765.4240, net0_loss = 0.11802, net0_acc = 0.9809, net0_test_acc = 0.8978,     net1_loss = 0.10104, net1_acc = 0.9843, net1_test_acc = 0.9642
Epoch: [ 68] [500/4000] time: 39765.4240, dice0 = 0.04629, cross0 = 0.0441, kl0 = 0.0063, exclusion0 = 0.0490,     dice1 = 0.03906, cross1 = 0.0374, kl1 = 0.0072, exclusion1 = 0.0419
1.1706823
Epoch: [ 68] [550/4000] time: 39772.8185, net0_loss = 0.13391, net0_acc = 0.9783, net0_test_acc = 0.9650,     net1_loss = 0.20637, net1_acc = 0.9676, net1_test_acc = 0.9516
Epoch: [ 68] [550/4000] time: 39772.8186, dice0 = 0.05379, cross0 = 0.0526, kl0 = 0.0052, exclusion0 = 0.0498,     dice1 = 0.07596, cross1 = 0.0750, kl1 = 0.0184, exclusion1 = 0.0924
1.0931343
Epoch: [ 68] [600/4000] time: 39780.2400, net0_loss = 0.16174, net0_acc = 0.9728, net0_test_acc = 0.9096,     net1_loss = 0.16788, net1_acc = 0.9721, net1_test_acc = 0.9751
Epoch: [ 68] [600/4000] time: 39780.2401, dice0 = 0.05843, cross0 = 0.0720, kl0 = 0.0114, exclusion0 = 0.0513,     dice1 = 0.05507, cross1 = 0.0908, kl1 = 0.0090, exclusion1 = 0.0350
1.1841605
Epoch: [ 68] [650/4000] time: 39787.6184, net0_loss = 0.11404, net0_acc = 0.9820, net0_test_acc = 0.9789,     net1_loss = 0.08105, net1_acc = 0.9863, net1_test_acc = 0.9530
Epoch: [ 68] [650/4000] time: 39787.6185, dice0 = 0.04431, cross0 = 0.0399, kl0 = 0.0081, exclusion0 = 0.0517,     dice1 = 0.03187, cross1 = 0.0325, kl1 = 0.0039, exclusion1 = 0.0295
1.1498129
Epoch: [ 68] [700/4000] time: 39795.0029, net0_loss = 0.03644, net0_acc = 0.9949, net0_test_acc = 0.7508,     net1_loss = 0.23182, net1_acc = 0.9608, net1_test_acc = 0.9184
Epoch: [ 68] [700/4000] time: 39795.0030, dice0 = 0.01470, cross0 = 0.0127, kl0 = 0.0016, exclusion0 = 0.0164,     dice1 = 0.08474, cross1 = 0.1010, kl1 = 0.0160, exclusion1 = 0.0761
1.0415773
Epoch: [ 68] [750/4000] time: 39802.4192, net0_loss = 0.10047, net0_acc = 0.9827, net0_test_acc = 0.9257,     net1_loss = 0.14769, net1_acc = 0.9748, net1_test_acc = 0.9387
Epoch: [ 68] [750/4000] time: 39802.4193, dice0 = 0.03814, cross0 = 0.0427, kl0 = 0.0051, exclusion0 = 0.0342,     dice1 = 0.05674, cross1 = 0.0696, kl1 = 0.0034, exclusion1 = 0.0393
1.1964238
Epoch: [ 68] [800/4000] time: 39809.8167, net0_loss = 0.20022, net0_acc = 0.9717, net0_test_acc = 0.9296,     net1_loss = 0.06068, net1_acc = 0.9906, net1_test_acc = 0.9615
Epoch: [ 68] [800/4000] time: 39809.8167, dice0 = 0.07680, cross0 = 0.0681, kl0 = 0.0138, exclusion0 = 0.0968,     dice1 = 0.02463, cross1 = 0.0209, kl1 = 0.0027, exclusion1 = 0.0276
1.1355016
Epoch: [ 68] [850/4000] time: 39817.1759, net0_loss = 0.05798, net0_acc = 0.9902, net0_test_acc = 0.9333,     net1_loss = 0.13617, net1_acc = 0.9793, net1_test_acc = 0.9239
Epoch: [ 68] [850/4000] time: 39817.1760, dice0 = 0.02299, cross0 = 0.0252, kl0 = 0.0012, exclusion0 = 0.0184,     dice1 = 0.05075, cross1 = 0.0471, kl1 = 0.0124, exclusion1 = 0.0644
1.32608
Epoch: [ 68] [900/4000] time: 39824.6575, net0_loss = 0.12927, net0_acc = 0.9801, net0_test_acc = 0.8075,     net1_loss = 0.10611, net1_acc = 0.9831, net1_test_acc = 0.9345
Epoch: [ 68] [900/4000] time: 39824.6576, dice0 = 0.05035, cross0 = 0.0510, kl0 = 0.0064, exclusion0 = 0.0494,     dice1 = 0.04139, cross1 = 0.0423, kl1 = 0.0055, exclusion1 = 0.0393
1.1717279
Epoch: [ 68] [950/4000] time: 39832.0357, net0_loss = 0.11113, net0_acc = 0.9822, net0_test_acc = 0.8993,     net1_loss = 0.09594, net1_acc = 0.9873, net1_test_acc = 0.9475
Epoch: [ 68] [950/4000] time: 39832.0357, dice0 = 0.03930, cross0 = 0.0523, kl0 = 0.0060, exclusion0 = 0.0329,     dice1 = 0.03805, cross1 = 0.0309, kl1 = 0.0063, exclusion1 = 0.0476
1.2660174
Epoch: [ 68] [1000/4000] time: 39839.4669, net0_loss = 0.10299, net0_acc = 0.9852, net0_test_acc = 0.9535,     net1_loss = 0.10874, net1_acc = 0.9839, net1_test_acc = 0.9365
Epoch: [ 68] [1000/4000] time: 39839.4670, dice0 = 0.03784, cross0 = 0.0381, kl0 = 0.0091, exclusion0 = 0.0451,     dice1 = 0.03699, cross1 = 0.0484, kl1 = 0.0087, exclusion1 = 0.0379
1.2015536
Epoch: [ 68] [1050/4000] time: 39846.8349, net0_loss = 0.10592, net0_acc = 0.9842, net0_test_acc = 0.7887,     net1_loss = 0.17922, net1_acc = 0.9732, net1_test_acc = 0.9322
Epoch: [ 68] [1050/4000] time: 39846.8350, dice0 = 0.04029, cross0 = 0.0373, kl0 = 0.0099, exclusion0 = 0.0467,     dice1 = 0.06793, cross1 = 0.0627, kl1 = 0.0180, exclusion1 = 0.0791
1.179135
Epoch: [ 68] [1100/4000] time: 39854.2699, net0_loss = 0.15285, net0_acc = 0.9736, net0_test_acc = 0.9646,     net1_loss = 0.06583, net1_acc = 0.9897, net1_test_acc = 0.9576
Epoch: [ 68] [1100/4000] time: 39854.2699, dice0 = 0.05822, cross0 = 0.0672, kl0 = 0.0071, exclusion0 = 0.0478,     dice1 = 0.02626, cross1 = 0.0270, kl1 = 0.0020, exclusion1 = 0.0231
1.2040018
Epoch: [ 68] [1150/4000] time: 39861.6300, net0_loss = 0.16642, net0_acc = 0.9725, net0_test_acc = 0.9528,     net1_loss = 0.17960, net1_acc = 0.9693, net1_test_acc = 0.9903
Epoch: [ 68] [1150/4000] time: 39861.6300, dice0 = 0.06174, cross0 = 0.0788, kl0 = 0.0057, exclusion0 = 0.0460,     dice1 = 0.06689, cross1 = 0.0809, kl1 = 0.0084, exclusion1 = 0.0551
1.1584712
Epoch: [ 68] [1200/4000] time: 39869.1229, net0_loss = 0.07688, net0_acc = 0.9908, net0_test_acc = 0.9599,     net1_loss = 0.21617, net1_acc = 0.9608, net1_test_acc = 0.8974
Epoch: [ 68] [1200/4000] time: 39869.1230, dice0 = 0.02945, cross0 = 0.0220, kl0 = 0.0074, exclusion0 = 0.0434,     dice1 = 0.08213, cross1 = 0.1024, kl1 = 0.0063, exclusion1 = 0.0569
1.1020806
Epoch: [ 68] [1250/4000] time: 39876.5080, net0_loss = 0.09559, net0_acc = 0.9880, net0_test_acc = 0.8543,     net1_loss = 0.19564, net1_acc = 0.9661, net1_test_acc = 0.9091
Epoch: [ 68] [1250/4000] time: 39876.5080, dice0 = 0.03217, cross0 = 0.0361, kl0 = 0.0093, exclusion0 = 0.0452,     dice1 = 0.07226, cross1 = 0.0899, kl1 = 0.0088, exclusion1 = 0.0582
1.202523
Epoch: [ 68] [1300/4000] time: 39883.8182, net0_loss = 0.12707, net0_acc = 0.9800, net0_test_acc = 0.8252,     net1_loss = 0.26598, net1_acc = 0.9582, net1_test_acc = 0.9570
Epoch: [ 68] [1300/4000] time: 39883.8182, dice0 = 0.04949, cross0 = 0.0477, kl0 = 0.0056, exclusion0 = 0.0542,     dice1 = 0.08869, cross1 = 0.1211, kl1 = 0.0277, exclusion1 = 0.0846
1.1118946
Epoch: [ 68] [1350/4000] time: 39891.3104, net0_loss = 0.13491, net0_acc = 0.9797, net0_test_acc = 0.9811,     net1_loss = 0.23451, net1_acc = 0.9574, net1_test_acc = 0.8995
Epoch: [ 68] [1350/4000] time: 39891.3104, dice0 = 0.04757, cross0 = 0.0589, kl0 = 0.0089, exclusion0 = 0.0481,     dice1 = 0.08877, cross1 = 0.1101, kl1 = 0.0080, exclusion1 = 0.0634
1.1555569
Epoch: [ 68] [1400/4000] time: 39898.7404, net0_loss = 0.10324, net0_acc = 0.9855, net0_test_acc = 0.9361,     net1_loss = 0.12662, net1_acc = 0.9798, net1_test_acc = 0.9634
Epoch: [ 68] [1400/4000] time: 39898.7405, dice0 = 0.04052, cross0 = 0.0334, kl0 = 0.0081, exclusion0 = 0.0505,     dice1 = 0.04639, cross1 = 0.0555, kl1 = 0.0080, exclusion1 = 0.0414
1.174208
Epoch: [ 68] [1450/4000] time: 39906.1934, net0_loss = 0.26101, net0_acc = 0.9539, net0_test_acc = 0.8967,     net1_loss = 0.10323, net1_acc = 0.9824, net1_test_acc = 0.9267
Epoch: [ 68] [1450/4000] time: 39906.1935, dice0 = 0.09397, cross0 = 0.1347, kl0 = 0.0066, exclusion0 = 0.0582,     dice1 = 0.04139, cross1 = 0.0449, kl1 = 0.0016, exclusion1 = 0.0323
1.1719946
Epoch: [ 68] [1500/4000] time: 39913.5860, net0_loss = 0.06970, net0_acc = 0.9899, net0_test_acc = 0.9456,     net1_loss = 0.10987, net1_acc = 0.9839, net1_test_acc = 0.8845
Epoch: [ 68] [1500/4000] time: 39913.5860, dice0 = 0.02558, cross0 = 0.0258, kl0 = 0.0055, exclusion0 = 0.0312,     dice1 = 0.04046, cross1 = 0.0454, kl1 = 0.0055, exclusion1 = 0.0425
1.1709548
Epoch: [ 68] [1550/4000] time: 39920.9890, net0_loss = 0.12524, net0_acc = 0.9802, net0_test_acc = 0.9735,     net1_loss = 0.16619, net1_acc = 0.9704, net1_test_acc = 0.9483
Epoch: [ 68] [1550/4000] time: 39920.9892, dice0 = 0.04706, cross0 = 0.0510, kl0 = 0.0080, exclusion0 = 0.0463,     dice1 = 0.06653, cross1 = 0.0687, kl1 = 0.0045, exclusion1 = 0.0574
1.1403041
Epoch: [ 68] [1600/4000] time: 39928.3654, net0_loss = 0.11932, net0_acc = 0.9794, net0_test_acc = 0.9196,     net1_loss = 0.06067, net1_acc = 0.9908, net1_test_acc = 0.9462
Epoch: [ 68] [1600/4000] time: 39928.3655, dice0 = 0.04457, cross0 = 0.0562, kl0 = 0.0035, exclusion0 = 0.0335,     dice1 = 0.02220, cross1 = 0.0272, kl1 = 0.0023, exclusion1 = 0.0203
1.1649657
Epoch: [ 68] [1650/4000] time: 39935.7516, net0_loss = 0.22704, net0_acc = 0.9646, net0_test_acc = 0.9325,     net1_loss = 0.12571, net1_acc = 0.9797, net1_test_acc = 0.7975
Epoch: [ 68] [1650/4000] time: 39935.7517, dice0 = 0.08210, cross0 = 0.1079, kl0 = 0.0077, exclusion0 = 0.0663,     dice1 = 0.05023, cross1 = 0.0489, kl1 = 0.0046, exclusion1 = 0.0486
1.1247773
Epoch: [ 68] [1700/4000] time: 39943.2253, net0_loss = 0.05814, net0_acc = 0.9916, net0_test_acc = 0.8557,     net1_loss = 0.13209, net1_acc = 0.9797, net1_test_acc = 0.8995
Epoch: [ 68] [1700/4000] time: 39943.2253, dice0 = 0.02175, cross0 = 0.0232, kl0 = 0.0032, exclusion0 = 0.0231,     dice1 = 0.04378, cross1 = 0.0718, kl1 = 0.0038, exclusion1 = 0.0293
1.1622334
Epoch: [ 68] [1750/4000] time: 39950.5752, net0_loss = 0.07504, net0_acc = 0.9890, net0_test_acc = 0.9150,     net1_loss = 0.25816, net1_acc = 0.9586, net1_test_acc = 0.7975
Epoch: [ 68] [1750/4000] time: 39950.5752, dice0 = 0.02612, cross0 = 0.0317, kl0 = 0.0063, exclusion0 = 0.0281,     dice1 = 0.09870, cross1 = 0.1043, kl1 = 0.0135, exclusion1 = 0.0969
1.1373672
Epoch: [ 68] [1800/4000] time: 39958.0210, net0_loss = 0.11503, net0_acc = 0.9815, net0_test_acc = 0.9379,     net1_loss = 0.09465, net1_acc = 0.9843, net1_test_acc = 0.9350
Epoch: [ 68] [1800/4000] time: 39958.0210, dice0 = 0.04258, cross0 = 0.0459, kl0 = 0.0077, exclusion0 = 0.0453,     dice1 = 0.03706, cross1 = 0.0368, kl1 = 0.0048, exclusion1 = 0.0369
1.1359508
Epoch: [ 68] [1850/4000] time: 39965.4057, net0_loss = 0.11888, net0_acc = 0.9816, net0_test_acc = 0.9360,     net1_loss = 0.16758, net1_acc = 0.9706, net1_test_acc = 0.9254
Epoch: [ 68] [1850/4000] time: 39965.4058, dice0 = 0.04439, cross0 = 0.0461, kl0 = 0.0086, exclusion0 = 0.0482,     dice1 = 0.06325, cross1 = 0.0783, kl1 = 0.0058, exclusion1 = 0.0462
1.1652026
Epoch: [ 68] [1900/4000] time: 39972.8243, net0_loss = 0.22989, net0_acc = 0.9606, net0_test_acc = 0.9732,     net1_loss = 0.20098, net1_acc = 0.9697, net1_test_acc = 0.9322
Epoch: [ 68] [1900/4000] time: 39972.8244, dice0 = 0.09035, cross0 = 0.0957, kl0 = 0.0102, exclusion0 = 0.0775,     dice1 = 0.06584, cross1 = 0.0925, kl1 = 0.0192, exclusion1 = 0.0662
1.0518826
Epoch: [ 68] [1950/4000] time: 39980.1967, net0_loss = 0.09526, net0_acc = 0.9853, net0_test_acc = 0.9176,     net1_loss = 0.07614, net1_acc = 0.9882, net1_test_acc = 0.8673
Epoch: [ 68] [1950/4000] time: 39980.1967, dice0 = 0.03650, cross0 = 0.0404, kl0 = 0.0043, exclusion0 = 0.0324,     dice1 = 0.03100, cross1 = 0.0272, kl1 = 0.0033, exclusion1 = 0.0327
1.2135527
Epoch: [ 68] [2000/4000] time: 39987.6385, net0_loss = 0.19599, net0_acc = 0.9716, net0_test_acc = 0.9585,     net1_loss = 0.14277, net1_acc = 0.9759, net1_test_acc = 0.9798
Epoch: [ 68] [2000/4000] time: 39987.6386, dice0 = 0.06753, cross0 = 0.0857, kl0 = 0.0149, exclusion0 = 0.0706,     dice1 = 0.05632, cross1 = 0.0615, kl1 = 0.0034, exclusion1 = 0.0465
1.1277592
Epoch: [ 68] [2050/4000] time: 39995.0740, net0_loss = 0.12639, net0_acc = 0.9800, net0_test_acc = 0.8654,     net1_loss = 0.08243, net1_acc = 0.9866, net1_test_acc = 0.8505
Epoch: [ 68] [2050/4000] time: 39995.0741, dice0 = 0.04951, cross0 = 0.0470, kl0 = 0.0076, exclusion0 = 0.0522,     dice1 = 0.03114, cross1 = 0.0366, kl1 = 0.0034, exclusion1 = 0.0261
1.3102869
Epoch: [ 68] [2100/4000] time: 40002.4936, net0_loss = 0.05907, net0_acc = 0.9923, net0_test_acc = 0.9236,     net1_loss = 0.05799, net1_acc = 0.9921, net1_test_acc = 0.9180
Epoch: [ 68] [2100/4000] time: 40002.4937, dice0 = 0.02382, cross0 = 0.0179, kl0 = 0.0029, exclusion0 = 0.0318,     dice1 = 0.02250, cross1 = 0.0196, kl1 = 0.0039, exclusion1 = 0.0277
1.1607379
Epoch: [ 68] [2150/4000] time: 40009.9199, net0_loss = 0.12098, net0_acc = 0.9809, net0_test_acc = 0.9518,     net1_loss = 0.05210, net1_acc = 0.9917, net1_test_acc = 0.9529
Epoch: [ 68] [2150/4000] time: 40009.9200, dice0 = 0.04438, cross0 = 0.0580, kl0 = 0.0029, exclusion0 = 0.0343,     dice1 = 0.02205, cross1 = 0.0194, kl1 = 0.0010, exclusion1 = 0.0203
1.0990902
Epoch: [ 68] [2200/4000] time: 40017.3374, net0_loss = 0.15335, net0_acc = 0.9753, net0_test_acc = 0.9234,     net1_loss = 0.26958, net1_acc = 0.9508, net1_test_acc = 0.9893
Epoch: [ 68] [2200/4000] time: 40017.3375, dice0 = 0.05618, cross0 = 0.0605, kl0 = 0.0141, exclusion0 = 0.0593,     dice1 = 0.09657, cross1 = 0.1444, kl1 = 0.0062, exclusion1 = 0.0510
1.0743617
Epoch: [ 68] [2250/4000] time: 40024.7283, net0_loss = 0.10779, net0_acc = 0.9825, net0_test_acc = 0.9477,     net1_loss = 0.04794, net1_acc = 0.9938, net1_test_acc = 0.7948
Epoch: [ 68] [2250/4000] time: 40024.7284, dice0 = 0.04029, cross0 = 0.0498, kl0 = 0.0040, exclusion0 = 0.0313,     dice1 = 0.01833, cross1 = 0.0160, kl1 = 0.0042, exclusion1 = 0.0230
1.109301
Epoch: [ 68] [2300/4000] time: 40032.1667, net0_loss = 0.17095, net0_acc = 0.9716, net0_test_acc = 0.8799,     net1_loss = 0.22195, net1_acc = 0.9649, net1_test_acc = 0.9828
Epoch: [ 68] [2300/4000] time: 40032.1667, dice0 = 0.06341, cross0 = 0.0756, kl0 = 0.0095, exclusion0 = 0.0543,     dice1 = 0.07439, cross1 = 0.0958, kl1 = 0.0236, exclusion1 = 0.0799
1.1576754
Epoch: [ 68] [2350/4000] time: 40039.5263, net0_loss = 0.14487, net0_acc = 0.9736, net0_test_acc = 0.9287,     net1_loss = 0.21519, net1_acc = 0.9655, net1_test_acc = 0.9077
Epoch: [ 68] [2350/4000] time: 40039.5263, dice0 = 0.05666, cross0 = 0.0633, kl0 = 0.0048, exclusion0 = 0.0450,     dice1 = 0.07725, cross1 = 0.1030, kl1 = 0.0076, exclusion1 = 0.0624
1.1938506
Epoch: [ 68] [2400/4000] time: 40046.9705, net0_loss = 0.10159, net0_acc = 0.9831, net0_test_acc = 0.8414,     net1_loss = 0.05794, net1_acc = 0.9909, net1_test_acc = 0.8866
Epoch: [ 68] [2400/4000] time: 40046.9706, dice0 = 0.03955, cross0 = 0.0385, kl0 = 0.0062, exclusion0 = 0.0409,     dice1 = 0.02320, cross1 = 0.0231, kl1 = 0.0013, exclusion1 = 0.0220
1.1409096
Epoch: [ 68] [2450/4000] time: 40054.3398, net0_loss = 0.11839, net0_acc = 0.9807, net0_test_acc = 0.9196,     net1_loss = 0.13077, net1_acc = 0.9794, net1_test_acc = 0.8047
Epoch: [ 68] [2450/4000] time: 40054.3399, dice0 = 0.04547, cross0 = 0.0461, kl0 = 0.0073, exclusion0 = 0.0463,     dice1 = 0.05284, cross1 = 0.0496, kl1 = 0.0047, exclusion1 = 0.0520
1.1312462
Epoch: [ 68] [2500/4000] time: 40061.8473, net0_loss = 0.18427, net0_acc = 0.9675, net0_test_acc = 0.9017,     net1_loss = 0.10383, net1_acc = 0.9849, net1_test_acc = 0.9277
Epoch: [ 68] [2500/4000] time: 40061.8474, dice0 = 0.06689, cross0 = 0.0953, kl0 = 0.0042, exclusion0 = 0.0401,     dice1 = 0.03523, cross1 = 0.0400, kl1 = 0.0129, exclusion1 = 0.0443
1.1685534
Epoch: [ 68] [2550/4000] time: 40069.2711, net0_loss = 0.13069, net0_acc = 0.9799, net0_test_acc = 0.9318,     net1_loss = 0.09180, net1_acc = 0.9867, net1_test_acc = 0.9294
Epoch: [ 68] [2550/4000] time: 40069.2711, dice0 = 0.04964, cross0 = 0.0436, kl0 = 0.0150, exclusion0 = 0.0599,     dice1 = 0.03522, cross1 = 0.0328, kl1 = 0.0060, exclusion1 = 0.0416
1.2247536
Epoch: [ 68] [2600/4000] time: 40076.6781, net0_loss = 0.07492, net0_acc = 0.9883, net0_test_acc = 0.8701,     net1_loss = 0.22806, net1_acc = 0.9653, net1_test_acc = 0.9106
Epoch: [ 68] [2600/4000] time: 40076.6782, dice0 = 0.02911, cross0 = 0.0251, kl0 = 0.0066, exclusion0 = 0.0348,     dice1 = 0.08496, cross1 = 0.0896, kl1 = 0.0147, exclusion1 = 0.0923
1.1581804
Epoch: [ 68] [2650/4000] time: 40084.0915, net0_loss = 0.18230, net0_acc = 0.9721, net0_test_acc = 0.9306,     net1_loss = 0.07570, net1_acc = 0.9888, net1_test_acc = 0.9423
Epoch: [ 68] [2650/4000] time: 40084.0916, dice0 = 0.06959, cross0 = 0.0664, kl0 = 0.0133, exclusion0 = 0.0793,     dice1 = 0.03123, cross1 = 0.0266, kl1 = 0.0024, exclusion1 = 0.0332
1.2020568
Epoch: [ 68] [2700/4000] time: 40091.5021, net0_loss = 0.09770, net0_acc = 0.9844, net0_test_acc = 0.9827,     net1_loss = 0.26033, net1_acc = 0.9574, net1_test_acc = 0.9887
Epoch: [ 68] [2700/4000] time: 40091.5022, dice0 = 0.03716, cross0 = 0.0408, kl0 = 0.0044, exclusion0 = 0.0351,     dice1 = 0.09374, cross1 = 0.1198, kl1 = 0.0117, exclusion1 = 0.0818
1.1878451
Epoch: [ 68] [2750/4000] time: 40098.9183, net0_loss = 0.10286, net0_acc = 0.9845, net0_test_acc = 0.9631,     net1_loss = 0.18620, net1_acc = 0.9731, net1_test_acc = 0.9552
Epoch: [ 68] [2750/4000] time: 40098.9183, dice0 = 0.03867, cross0 = 0.0410, kl0 = 0.0065, exclusion0 = 0.0398,     dice1 = 0.06269, cross1 = 0.0781, kl1 = 0.0183, exclusion1 = 0.0726
1.2943441
Epoch: [ 68] [2800/4000] time: 40106.2958, net0_loss = 0.22745, net0_acc = 0.9625, net0_test_acc = 0.9734,     net1_loss = 0.16330, net1_acc = 0.9716, net1_test_acc = 0.9279
Epoch: [ 68] [2800/4000] time: 40106.2958, dice0 = 0.08421, cross0 = 0.1025, kl0 = 0.0085, exclusion0 = 0.0729,     dice1 = 0.06220, cross1 = 0.0691, kl1 = 0.0100, exclusion1 = 0.0540
1.1839094
Epoch: [ 68] [2850/4000] time: 40113.6826, net0_loss = 0.15257, net0_acc = 0.9760, net0_test_acc = 0.8932,     net1_loss = 0.14106, net1_acc = 0.9756, net1_test_acc = 0.9876
Epoch: [ 68] [2850/4000] time: 40113.6827, dice0 = 0.05479, cross0 = 0.0688, kl0 = 0.0081, exclusion0 = 0.0499,     dice1 = 0.05299, cross1 = 0.0637, kl1 = 0.0068, exclusion1 = 0.0419
1.1329033
Epoch: [ 68] [2900/4000] time: 40121.0978, net0_loss = 0.15885, net0_acc = 0.9778, net0_test_acc = 0.8945,     net1_loss = 0.08238, net1_acc = 0.9867, net1_test_acc = 0.9897
Epoch: [ 68] [2900/4000] time: 40121.0978, dice0 = 0.05060, cross0 = 0.0648, kl0 = 0.0221, exclusion0 = 0.0648,     dice1 = 0.03175, cross1 = 0.0360, kl1 = 0.0034, exclusion1 = 0.0259
1.309806
Epoch: [ 68] [2950/4000] time: 40128.4533, net0_loss = 0.09582, net0_acc = 0.9854, net0_test_acc = 0.9170,     net1_loss = 0.08814, net1_acc = 0.9853, net1_test_acc = 0.9167
Epoch: [ 68] [2950/4000] time: 40128.4533, dice0 = 0.03500, cross0 = 0.0408, kl0 = 0.0061, exclusion0 = 0.0340,     dice1 = 0.03418, cross1 = 0.0353, kl1 = 0.0044, exclusion1 = 0.0330
1.1529416
Epoch: [ 68] [3000/4000] time: 40135.8813, net0_loss = 0.14629, net0_acc = 0.9770, net0_test_acc = 0.9654,     net1_loss = 0.20220, net1_acc = 0.9651, net1_test_acc = 0.9596
Epoch: [ 68] [3000/4000] time: 40135.8814, dice0 = 0.05779, cross0 = 0.0590, kl0 = 0.0063, exclusion0 = 0.0527,     dice1 = 0.07745, cross1 = 0.0861, kl1 = 0.0087, exclusion1 = 0.0687
1.104631
Epoch: [ 68] [3050/4000] time: 40143.3220, net0_loss = 0.21115, net0_acc = 0.9623, net0_test_acc = 0.7527,     net1_loss = 0.11435, net1_acc = 0.9809, net1_test_acc = 0.8937
Epoch: [ 68] [3050/4000] time: 40143.3221, dice0 = 0.07606, cross0 = 0.1070, kl0 = 0.0068, exclusion0 = 0.0493,     dice1 = 0.04428, cross1 = 0.0495, kl1 = 0.0039, exclusion1 = 0.0373
1.1470135
Epoch: [ 68] [3100/4000] time: 40150.7355, net0_loss = 0.04113, net0_acc = 0.9952, net0_test_acc = 0.8393,     net1_loss = 0.13240, net1_acc = 0.9773, net1_test_acc = 0.8154
Epoch: [ 68] [3100/4000] time: 40150.7355, dice0 = 0.01680, cross0 = 0.0134, kl0 = 0.0025, exclusion0 = 0.0193,     dice1 = 0.04860, cross1 = 0.0587, kl1 = 0.0078, exclusion1 = 0.0423
1.2123363
Epoch: [ 68] [3150/4000] time: 40158.1404, net0_loss = 0.12247, net0_acc = 0.9809, net0_test_acc = 0.9846,     net1_loss = 0.21424, net1_acc = 0.9635, net1_test_acc = 0.9704
Epoch: [ 68] [3150/4000] time: 40158.1405, dice0 = 0.04778, cross0 = 0.0460, kl0 = 0.0070, exclusion0 = 0.0504,     dice1 = 0.08126, cross1 = 0.0943, kl1 = 0.0087, exclusion1 = 0.0687
1.1265523
Epoch: [ 68] [3200/4000] time: 40165.4908, net0_loss = 0.11441, net0_acc = 0.9817, net0_test_acc = 0.9273,     net1_loss = 0.16237, net1_acc = 0.9738, net1_test_acc = 0.9471
Epoch: [ 68] [3200/4000] time: 40165.4909, dice0 = 0.04381, cross0 = 0.0484, kl0 = 0.0047, exclusion0 = 0.0397,     dice1 = 0.06250, cross1 = 0.0601, kl1 = 0.0106, exclusion1 = 0.0689
1.1997135
Epoch: [ 68] [3250/4000] time: 40172.9734, net0_loss = 0.12589, net0_acc = 0.9799, net0_test_acc = 0.9501,     net1_loss = 0.08753, net1_acc = 0.9864, net1_test_acc = 0.9754
Epoch: [ 68] [3250/4000] time: 40172.9735, dice0 = 0.04826, cross0 = 0.0524, kl0 = 0.0063, exclusion0 = 0.0442,     dice1 = 0.03436, cross1 = 0.0345, kl1 = 0.0032, exclusion1 = 0.0342
1.1929593
Epoch: [ 68] [3300/4000] time: 40180.3368, net0_loss = 0.14489, net0_acc = 0.9743, net0_test_acc = 0.8987,     net1_loss = 0.26502, net1_acc = 0.9521, net1_test_acc = 0.9766
Epoch: [ 68] [3300/4000] time: 40180.3368, dice0 = 0.05652, cross0 = 0.0664, kl0 = 0.0033, exclusion0 = 0.0406,     dice1 = 0.09981, cross1 = 0.1218, kl1 = 0.0107, exclusion1 = 0.0761
1.1610719
Epoch: [ 68] [3350/4000] time: 40187.8008, net0_loss = 0.18904, net0_acc = 0.9689, net0_test_acc = 0.9527,     net1_loss = 0.17993, net1_acc = 0.9711, net1_test_acc = 0.9313
Epoch: [ 68] [3350/4000] time: 40187.8008, dice0 = 0.07051, cross0 = 0.0801, kl0 = 0.0118, exclusion0 = 0.0651,     dice1 = 0.06635, cross1 = 0.0802, kl1 = 0.0073, exclusion1 = 0.0596
1.1363994
Epoch: [ 68] [3400/4000] time: 40195.2397, net0_loss = 0.09939, net0_acc = 0.9845, net0_test_acc = 0.9518,     net1_loss = 0.16500, net1_acc = 0.9730, net1_test_acc = 0.9261
Epoch: [ 68] [3400/4000] time: 40195.2398, dice0 = 0.03810, cross0 = 0.0367, kl0 = 0.0064, exclusion0 = 0.0427,     dice1 = 0.06012, cross1 = 0.0814, kl1 = 0.0038, exclusion1 = 0.0431
1.105943
Epoch: [ 68] [3450/4000] time: 40202.6464, net0_loss = 0.12606, net0_acc = 0.9767, net0_test_acc = 0.9743,     net1_loss = 0.14106, net1_acc = 0.9786, net1_test_acc = 0.9298
Epoch: [ 68] [3450/4000] time: 40202.6465, dice0 = 0.04713, cross0 = 0.0668, kl0 = 0.0013, exclusion0 = 0.0230,     dice1 = 0.05222, cross1 = 0.0552, kl1 = 0.0091, exclusion1 = 0.0583
1.1590402
Epoch: [ 68] [3500/4000] time: 40210.0538, net0_loss = 0.12780, net0_acc = 0.9805, net0_test_acc = 0.7690,     net1_loss = 0.04858, net1_acc = 0.9941, net1_test_acc = 0.9362
Epoch: [ 68] [3500/4000] time: 40210.0539, dice0 = 0.05011, cross0 = 0.0473, kl0 = 0.0068, exclusion0 = 0.0540,     dice1 = 0.01998, cross1 = 0.0152, kl1 = 0.0018, exclusion1 = 0.0250
1.1052233
Epoch: [ 68] [3550/4000] time: 40217.4308, net0_loss = 0.17388, net0_acc = 0.9732, net0_test_acc = 0.8970,     net1_loss = 0.09941, net1_acc = 0.9852, net1_test_acc = 0.8239
Epoch: [ 68] [3550/4000] time: 40217.4308, dice0 = 0.06366, cross0 = 0.0695, kl0 = 0.0119, exclusion0 = 0.0696,     dice1 = 0.03700, cross1 = 0.0377, kl1 = 0.0085, exclusion1 = 0.0410
1.1550928
Epoch: [ 68] [3600/4000] time: 40224.8403, net0_loss = 0.05764, net0_acc = 0.9911, net0_test_acc = 0.8940,     net1_loss = 0.14475, net1_acc = 0.9743, net1_test_acc = 0.9637
Epoch: [ 68] [3600/4000] time: 40224.8403, dice0 = 0.02340, cross0 = 0.0200, kl0 = 0.0029, exclusion0 = 0.0256,     dice1 = 0.05253, cross1 = 0.0756, kl1 = 0.0036, exclusion1 = 0.0297
1.0771682
Epoch: [ 68] [3650/4000] time: 40232.3293, net0_loss = 0.13626, net0_acc = 0.9804, net0_test_acc = 0.9114,     net1_loss = 0.04561, net1_acc = 0.9937, net1_test_acc = 0.9787
Epoch: [ 68] [3650/4000] time: 40232.3294, dice0 = 0.04512, cross0 = 0.0611, kl0 = 0.0120, exclusion0 = 0.0480,     dice1 = 0.01893, cross1 = 0.0153, kl1 = 0.0012, exclusion1 = 0.0217
1.1458713
Epoch: [ 68] [3700/4000] time: 40239.7143, net0_loss = 0.04270, net0_acc = 0.9947, net0_test_acc = 0.9111,     net1_loss = 0.16716, net1_acc = 0.9695, net1_test_acc = 0.9169
Epoch: [ 68] [3700/4000] time: 40239.7144, dice0 = 0.01608, cross0 = 0.0168, kl0 = 0.0017, exclusion0 = 0.0179,     dice1 = 0.06419, cross1 = 0.0776, kl1 = 0.0049, exclusion1 = 0.0458
1.1718471
Epoch: [ 68] [3750/4000] time: 40247.1263, net0_loss = 0.06644, net0_acc = 0.9903, net0_test_acc = 0.9539,     net1_loss = 0.15888, net1_acc = 0.9771, net1_test_acc = 0.9319
Epoch: [ 68] [3750/4000] time: 40247.1263, dice0 = 0.02679, cross0 = 0.0239, kl0 = 0.0021, exclusion0 = 0.0294,     dice1 = 0.05327, cross1 = 0.0713, kl1 = 0.0148, exclusion1 = 0.0539
1.1013006
Epoch: [ 68] [3800/4000] time: 40254.4685, net0_loss = 0.10804, net0_acc = 0.9851, net0_test_acc = 0.7928,     net1_loss = 0.37869, net1_acc = 0.9431, net1_test_acc = 0.8266
Epoch: [ 68] [3800/4000] time: 40254.4685, dice0 = 0.04034, cross0 = 0.0364, kl0 = 0.0110, exclusion0 = 0.0516,     dice1 = 0.12653, cross1 = 0.1721, kl1 = 0.0288, exclusion1 = 0.1313
1.1648597
Epoch: [ 68] [3850/4000] time: 40261.8857, net0_loss = 0.05376, net0_acc = 0.9935, net0_test_acc = 0.8131,     net1_loss = 0.11896, net1_acc = 0.9840, net1_test_acc = 0.8293
Epoch: [ 68] [3850/4000] time: 40261.8858, dice0 = 0.02144, cross0 = 0.0188, kl0 = 0.0026, exclusion0 = 0.0244,     dice1 = 0.04552, cross1 = 0.0388, kl1 = 0.0088, exclusion1 = 0.0604
1.0443176
Epoch: [ 68] [3900/4000] time: 40269.3268, net0_loss = 0.18307, net0_acc = 0.9718, net0_test_acc = 0.9766,     net1_loss = 0.10694, net1_acc = 0.9837, net1_test_acc = 0.9522
Epoch: [ 68] [3900/4000] time: 40269.3269, dice0 = 0.06487, cross0 = 0.0723, kl0 = 0.0171, exclusion0 = 0.0746,     dice1 = 0.04168, cross1 = 0.0404, kl1 = 0.0046, exclusion1 = 0.0450
1.1804276
Epoch: [ 68] [3950/4000] time: 40276.7659, net0_loss = 0.11457, net0_acc = 0.9829, net0_test_acc = 0.9890,     net1_loss = 0.13061, net1_acc = 0.9822, net1_test_acc = 0.9492
Epoch: [ 68] [3950/4000] time: 40276.7659, dice0 = 0.04225, cross0 = 0.0416, kl0 = 0.0096, exclusion0 = 0.0519,     dice1 = 0.05020, cross1 = 0.0452, kl1 = 0.0110, exclusion1 = 0.0594
1.1411483
Epoch: [ 69] [  0/4000] time: 40284.1776, net0_loss = 0.19409, net0_acc = 0.9687, net0_test_acc = 0.9486,     net1_loss = 0.05132, net1_acc = 0.9918, net1_test_acc = 0.8712
Epoch: [ 69] [  0/4000] time: 40284.1776, dice0 = 0.06926, cross0 = 0.0866, kl0 = 0.0111, exclusion0 = 0.0655,     dice1 = 0.02033, cross1 = 0.0207, kl1 = 0.0025, exclusion1 = 0.0181
1.0822341
Epoch: [ 69] [ 50/4000] time: 40291.5866, net0_loss = 0.11731, net0_acc = 0.9810, net0_test_acc = 0.9796,     net1_loss = 0.04333, net1_acc = 0.9943, net1_test_acc = 0.8965
Epoch: [ 69] [ 50/4000] time: 40291.5867, dice0 = 0.04578, cross0 = 0.0469, kl0 = 0.0057, exclusion0 = 0.0436,     dice1 = 0.01750, cross1 = 0.0150, kl1 = 0.0020, exclusion1 = 0.0197
1.2714233
Epoch: [ 69] [100/4000] time: 40298.9902, net0_loss = 0.09094, net0_acc = 0.9872, net0_test_acc = 0.9688,     net1_loss = 0.08319, net1_acc = 0.9868, net1_test_acc = 0.9670
Epoch: [ 69] [100/4000] time: 40298.9903, dice0 = 0.03493, cross0 = 0.0326, kl0 = 0.0047, exclusion0 = 0.0421,     dice1 = 0.03312, cross1 = 0.0334, kl1 = 0.0035, exclusion1 = 0.0298
1.1673193
Epoch: [ 69] [150/4000] time: 40306.3674, net0_loss = 0.16061, net0_acc = 0.9742, net0_test_acc = 0.9444,     net1_loss = 0.15495, net1_acc = 0.9743, net1_test_acc = 0.9803
Epoch: [ 69] [150/4000] time: 40306.3675, dice0 = 0.06170, cross0 = 0.0618, kl0 = 0.0088, exclusion0 = 0.0654,     dice1 = 0.05613, cross1 = 0.0750, kl1 = 0.0059, exclusion1 = 0.0418
1.1673326
Epoch: [ 69] [200/4000] time: 40313.7738, net0_loss = 0.13511, net0_acc = 0.9795, net0_test_acc = 0.8628,     net1_loss = 0.14207, net1_acc = 0.9777, net1_test_acc = 0.9512
Epoch: [ 69] [200/4000] time: 40313.7738, dice0 = 0.04705, cross0 = 0.0538, kl0 = 0.0122, exclusion0 = 0.0563,     dice1 = 0.05082, cross1 = 0.0546, kl1 = 0.0145, exclusion1 = 0.0588
1.2076905
Epoch: [ 69] [250/4000] time: 40321.2278, net0_loss = 0.08528, net0_acc = 0.9866, net0_test_acc = 0.9030,     net1_loss = 0.33521, net1_acc = 0.9444, net1_test_acc = 0.9658
Epoch: [ 69] [250/4000] time: 40321.2279, dice0 = 0.03271, cross0 = 0.0353, kl0 = 0.0028, exclusion0 = 0.0317,     dice1 = 0.11416, cross1 = 0.1797, kl1 = 0.0086, exclusion1 = 0.0741
1.0741352
Epoch: [ 69] [300/4000] time: 40328.6501, net0_loss = 0.10969, net0_acc = 0.9849, net0_test_acc = 0.9592,     net1_loss = 0.08582, net1_acc = 0.9866, net1_test_acc = 0.9505
Epoch: [ 69] [300/4000] time: 40328.6502, dice0 = 0.03637, cross0 = 0.0518, kl0 = 0.0062, exclusion0 = 0.0369,     dice1 = 0.03278, cross1 = 0.0336, kl1 = 0.0049, exclusion1 = 0.0340
1.1505587
Epoch: [ 69] [350/4000] time: 40336.0652, net0_loss = 0.10332, net0_acc = 0.9852, net0_test_acc = 0.9046,     net1_loss = 0.10809, net1_acc = 0.9830, net1_test_acc = 0.9775
Epoch: [ 69] [350/4000] time: 40336.0652, dice0 = 0.04118, cross0 = 0.0346, kl0 = 0.0073, exclusion0 = 0.0477,     dice1 = 0.04257, cross1 = 0.0437, kl1 = 0.0047, exclusion1 = 0.0389
1.3328884
Epoch: [ 69] [400/4000] time: 40343.4803, net0_loss = 0.13554, net0_acc = 0.9776, net0_test_acc = 0.9796,     net1_loss = 0.07750, net1_acc = 0.9890, net1_test_acc = 0.9546
Epoch: [ 69] [400/4000] time: 40343.4803, dice0 = 0.05074, cross0 = 0.0610, kl0 = 0.0059, exclusion0 = 0.0417,     dice1 = 0.02939, cross1 = 0.0303, kl1 = 0.0042, exclusion1 = 0.0314
1.1096904
Epoch: [ 69] [450/4000] time: 40350.9268, net0_loss = 0.24462, net0_acc = 0.9669, net0_test_acc = 0.7506,     net1_loss = 0.15620, net1_acc = 0.9746, net1_test_acc = 0.9174
Epoch: [ 69] [450/4000] time: 40350.9269, dice0 = 0.08397, cross0 = 0.1059, kl0 = 0.0142, exclusion0 = 0.0954,     dice1 = 0.05560, cross1 = 0.0659, kl1 = 0.0126, exclusion1 = 0.0568
1.2847836
Epoch: [ 69] [500/4000] time: 40358.3057, net0_loss = 0.10538, net0_acc = 0.9820, net0_test_acc = 0.9055,     net1_loss = 0.22702, net1_acc = 0.9605, net1_test_acc = 0.9432
Epoch: [ 69] [500/4000] time: 40358.3058, dice0 = 0.04052, cross0 = 0.0440, kl0 = 0.0050, exclusion0 = 0.0367,     dice1 = 0.08714, cross1 = 0.1002, kl1 = 0.0081, exclusion1 = 0.0712
1.1660566
Epoch: [ 69] [550/4000] time: 40365.7291, net0_loss = 0.11006, net0_acc = 0.9820, net0_test_acc = 0.9305,     net1_loss = 0.15881, net1_acc = 0.9749, net1_test_acc = 0.9520
Epoch: [ 69] [550/4000] time: 40365.7292, dice0 = 0.04274, cross0 = 0.0458, kl0 = 0.0048, exclusion0 = 0.0382,     dice1 = 0.06102, cross1 = 0.0600, kl1 = 0.0121, exclusion1 = 0.0636
1.1830914
Epoch: [ 69] [600/4000] time: 40373.1220, net0_loss = 0.23983, net0_acc = 0.9586, net0_test_acc = 0.9359,     net1_loss = 0.09970, net1_acc = 0.9837, net1_test_acc = 0.9181
Epoch: [ 69] [600/4000] time: 40373.1221, dice0 = 0.09163, cross0 = 0.1046, kl0 = 0.0090, exclusion0 = 0.0782,     dice1 = 0.03843, cross1 = 0.0408, kl1 = 0.0048, exclusion1 = 0.0362
1.0955572
Epoch: [ 69] [650/4000] time: 40380.5091, net0_loss = 0.08925, net0_acc = 0.9857, net0_test_acc = 0.8163,     net1_loss = 0.23189, net1_acc = 0.9647, net1_test_acc = 0.9019
Epoch: [ 69] [650/4000] time: 40380.5092, dice0 = 0.03458, cross0 = 0.0357, kl0 = 0.0039, exclusion0 = 0.0340,     dice1 = 0.07835, cross1 = 0.0864, kl1 = 0.0300, exclusion1 = 0.1042
1.1093533
Epoch: [ 69] [700/4000] time: 40387.9221, net0_loss = 0.07622, net0_acc = 0.9876, net0_test_acc = 0.9064,     net1_loss = 0.04829, net1_acc = 0.9930, net1_test_acc = 0.9339
Epoch: [ 69] [700/4000] time: 40387.9221, dice0 = 0.03060, cross0 = 0.0284, kl0 = 0.0032, exclusion0 = 0.0312,     dice1 = 0.01937, cross1 = 0.0170, kl1 = 0.0022, exclusion1 = 0.0216
1.14165
Epoch: [ 69] [750/4000] time: 40395.2987, net0_loss = 0.27712, net0_acc = 0.9614, net0_test_acc = 0.9451,     net1_loss = 0.19371, net1_acc = 0.9679, net1_test_acc = 0.9459
Epoch: [ 69] [750/4000] time: 40395.2987, dice0 = 0.09635, cross0 = 0.0993, kl0 = 0.0318, exclusion0 = 0.1311,     dice1 = 0.07164, cross1 = 0.0916, kl1 = 0.0067, exclusion1 = 0.0543
1.0926131
Epoch: [ 69] [800/4000] time: 40402.7946, net0_loss = 0.07843, net0_acc = 0.9864, net0_test_acc = 0.8423,     net1_loss = 0.10840, net1_acc = 0.9837, net1_test_acc = 0.9408
Epoch: [ 69] [800/4000] time: 40402.7947, dice0 = 0.03012, cross0 = 0.0328, kl0 = 0.0035, exclusion0 = 0.0276,     dice1 = 0.03921, cross1 = 0.0461, kl1 = 0.0086, exclusion1 = 0.0376
1.074896
Epoch: [ 69] [850/4000] time: 40410.2436, net0_loss = 0.14679, net0_acc = 0.9733, net0_test_acc = 0.9643,     net1_loss = 0.28564, net1_acc = 0.9505, net1_test_acc = 0.9614
Epoch: [ 69] [850/4000] time: 40410.2436, dice0 = 0.05420, cross0 = 0.0743, kl0 = 0.0037, exclusion0 = 0.0330,     dice1 = 0.10713, cross1 = 0.1287, kl1 = 0.0100, exclusion1 = 0.0896
1.140696
Epoch: [ 69] [900/4000] time: 40417.6504, net0_loss = 0.10065, net0_acc = 0.9844, net0_test_acc = 0.9452,     net1_loss = 0.06716, net1_acc = 0.9895, net1_test_acc = 0.9910
Epoch: [ 69] [900/4000] time: 40417.6505, dice0 = 0.03548, cross0 = 0.0517, kl0 = 0.0029, exclusion0 = 0.0240,     dice1 = 0.02651, cross1 = 0.0264, kl1 = 0.0020, exclusion1 = 0.0265
1.2388744
Epoch: [ 69] [950/4000] time: 40424.9979, net0_loss = 0.07238, net0_acc = 0.9889, net0_test_acc = 0.9601,     net1_loss = 0.16506, net1_acc = 0.9719, net1_test_acc = 0.8930
Epoch: [ 69] [950/4000] time: 40424.9979, dice0 = 0.02860, cross0 = 0.0278, kl0 = 0.0033, exclusion0 = 0.0286,     dice1 = 0.05982, cross1 = 0.0769, kl1 = 0.0088, exclusion1 = 0.0478
1.1281824
Epoch: [ 69] [1000/4000] time: 40432.4810, net0_loss = 0.07518, net0_acc = 0.9881, net0_test_acc = 0.8618,     net1_loss = 0.18960, net1_acc = 0.9691, net1_test_acc = 0.9216
Epoch: [ 69] [1000/4000] time: 40432.4810, dice0 = 0.03010, cross0 = 0.0294, kl0 = 0.0030, exclusion0 = 0.0283,     dice1 = 0.06385, cross1 = 0.0948, kl1 = 0.0114, exclusion1 = 0.0504
1.0831792
Epoch: [ 69] [1050/4000] time: 40439.9424, net0_loss = 0.13760, net0_acc = 0.9808, net0_test_acc = 0.8179,     net1_loss = 0.06229, net1_acc = 0.9898, net1_test_acc = 0.9740
Epoch: [ 69] [1050/4000] time: 40439.9425, dice0 = 0.04801, cross0 = 0.0487, kl0 = 0.0145, exclusion0 = 0.0673,     dice1 = 0.02534, cross1 = 0.0230, kl1 = 0.0024, exclusion1 = 0.0256
1.1609945
Epoch: [ 69] [1100/4000] time: 40447.3660, net0_loss = 0.12192, net0_acc = 0.9818, net0_test_acc = 0.9798,     net1_loss = 0.11911, net1_acc = 0.9813, net1_test_acc = 0.8765
Epoch: [ 69] [1100/4000] time: 40447.3660, dice0 = 0.04282, cross0 = 0.0489, kl0 = 0.0113, exclusion0 = 0.0491,     dice1 = 0.04524, cross1 = 0.0464, kl1 = 0.0084, exclusion1 = 0.0466
1.164839
Epoch: [ 69] [1150/4000] time: 40454.7720, net0_loss = 0.08996, net0_acc = 0.9859, net0_test_acc = 0.9326,     net1_loss = 0.07917, net1_acc = 0.9863, net1_test_acc = 0.9605
Epoch: [ 69] [1150/4000] time: 40454.7720, dice0 = 0.03530, cross0 = 0.0337, kl0 = 0.0049, exclusion0 = 0.0369,     dice1 = 0.03213, cross1 = 0.0337, kl1 = 0.0010, exclusion1 = 0.0257
1.1358646
Epoch: [ 69] [1200/4000] time: 40462.1676, net0_loss = 0.10655, net0_acc = 0.9813, net0_test_acc = 0.8996,     net1_loss = 0.10833, net1_acc = 0.9841, net1_test_acc = 0.9227
Epoch: [ 69] [1200/4000] time: 40462.1677, dice0 = 0.03935, cross0 = 0.0545, kl0 = 0.0019, exclusion0 = 0.0235,     dice1 = 0.04230, cross1 = 0.0377, kl1 = 0.0077, exclusion1 = 0.0489
1.132051
Epoch: [ 69] [1250/4000] time: 40469.5383, net0_loss = 0.09661, net0_acc = 0.9870, net0_test_acc = 0.9507,     net1_loss = 0.12179, net1_acc = 0.9799, net1_test_acc = 0.8936
Epoch: [ 69] [1250/4000] time: 40469.5383, dice0 = 0.03740, cross0 = 0.0308, kl0 = 0.0068, exclusion0 = 0.0500,     dice1 = 0.04833, cross1 = 0.0505, kl1 = 0.0038, exclusion1 = 0.0420
1.155176
Epoch: [ 69] [1300/4000] time: 40477.0073, net0_loss = 0.21085, net0_acc = 0.9640, net0_test_acc = 0.9670,     net1_loss = 0.07904, net1_acc = 0.9877, net1_test_acc = 0.9489
Epoch: [ 69] [1300/4000] time: 40477.0074, dice0 = 0.07636, cross0 = 0.1032, kl0 = 0.0084, exclusion0 = 0.0541,     dice1 = 0.02885, cross1 = 0.0333, kl1 = 0.0048, exclusion1 = 0.0290
1.1806402
Epoch: [ 69] [1350/4000] time: 40484.4264, net0_loss = 0.20820, net0_acc = 0.9657, net0_test_acc = 0.9421,     net1_loss = 0.08432, net1_acc = 0.9872, net1_test_acc = 0.9393
Epoch: [ 69] [1350/4000] time: 40484.4265, dice0 = 0.08006, cross0 = 0.0900, kl0 = 0.0065, exclusion0 = 0.0698,     dice1 = 0.03360, cross1 = 0.0305, kl1 = 0.0044, exclusion1 = 0.0360
1.1816674
Epoch: [ 69] [1400/4000] time: 40491.8718, net0_loss = 0.27486, net0_acc = 0.9596, net0_test_acc = 0.9426,     net1_loss = 0.16868, net1_acc = 0.9745, net1_test_acc = 0.7791
Epoch: [ 69] [1400/4000] time: 40491.8719, dice0 = 0.10015, cross0 = 0.1145, kl0 = 0.0101, exclusion0 = 0.1104,     dice1 = 0.06620, cross1 = 0.0664, kl1 = 0.0062, exclusion1 = 0.0659
1.196126
Epoch: [ 69] [1450/4000] time: 40499.1205, net0_loss = 0.15137, net0_acc = 0.9750, net0_test_acc = 0.8647,     net1_loss = 0.10767, net1_acc = 0.9827, net1_test_acc = 0.8967
Epoch: [ 69] [1450/4000] time: 40499.1205, dice0 = 0.05586, cross0 = 0.0636, kl0 = 0.0099, exclusion0 = 0.0539,     dice1 = 0.04164, cross1 = 0.0409, kl1 = 0.0064, exclusion1 = 0.0439
1.2032522
Epoch: [ 69] [1500/4000] time: 40506.6447, net0_loss = 0.13861, net0_acc = 0.9762, net0_test_acc = 0.9116,     net1_loss = 0.11118, net1_acc = 0.9813, net1_test_acc = 0.7997
Epoch: [ 69] [1500/4000] time: 40506.6447, dice0 = 0.05188, cross0 = 0.0625, kl0 = 0.0065, exclusion0 = 0.0420,     dice1 = 0.04450, cross1 = 0.0442, kl1 = 0.0059, exclusion1 = 0.0391
1.2550322
Epoch: [ 69] [1550/4000] time: 40514.0877, net0_loss = 0.06210, net0_acc = 0.9910, net0_test_acc = 0.9355,     net1_loss = 0.08123, net1_acc = 0.9862, net1_test_acc = 0.9323
Epoch: [ 69] [1550/4000] time: 40514.0877, dice0 = 0.02486, cross0 = 0.0221, kl0 = 0.0029, exclusion0 = 0.0273,     dice1 = 0.03168, cross1 = 0.0340, kl1 = 0.0032, exclusion1 = 0.0279
1.1756419
Epoch: [ 69] [1600/4000] time: 40521.5168, net0_loss = 0.21617, net0_acc = 0.9665, net0_test_acc = 0.9222,     net1_loss = 0.10774, net1_acc = 0.9820, net1_test_acc = 0.9310
Epoch: [ 69] [1600/4000] time: 40521.5169, dice0 = 0.07536, cross0 = 0.0873, kl0 = 0.0241, exclusion0 = 0.0828,     dice1 = 0.04117, cross1 = 0.0472, kl1 = 0.0041, exclusion1 = 0.0346
1.0771236
Epoch: [ 69] [1650/4000] time: 40528.8159, net0_loss = 0.22736, net0_acc = 0.9606, net0_test_acc = 0.9735,     net1_loss = 0.05074, net1_acc = 0.9940, net1_test_acc = 0.9365
Epoch: [ 69] [1650/4000] time: 40528.8160, dice0 = 0.07936, cross0 = 0.1186, kl0 = 0.0090, exclusion0 = 0.0498,     dice1 = 0.01902, cross1 = 0.0164, kl1 = 0.0055, exclusion1 = 0.0253
1.142154
Epoch: [ 69] [1700/4000] time: 40536.2967, net0_loss = 0.12199, net0_acc = 0.9789, net0_test_acc = 0.9204,     net1_loss = 0.16023, net1_acc = 0.9742, net1_test_acc = 0.8722
Epoch: [ 69] [1700/4000] time: 40536.2968, dice0 = 0.04808, cross0 = 0.0516, kl0 = 0.0038, exclusion0 = 0.0408,     dice1 = 0.05659, cross1 = 0.0749, kl1 = 0.0087, exclusion1 = 0.0487
1.083529
Epoch: [ 69] [1750/4000] time: 40543.7182, net0_loss = 0.08014, net0_acc = 0.9888, net0_test_acc = 0.9559,     net1_loss = 0.18057, net1_acc = 0.9698, net1_test_acc = 0.9792
Epoch: [ 69] [1750/4000] time: 40543.7183, dice0 = 0.03173, cross0 = 0.0274, kl0 = 0.0047, exclusion0 = 0.0373,     dice1 = 0.06127, cross1 = 0.1001, kl1 = 0.0047, exclusion1 = 0.0338
1.1322252
Epoch: [ 69] [1800/4000] time: 40551.1408, net0_loss = 0.11944, net0_acc = 0.9800, net0_test_acc = 0.8751,     net1_loss = 0.18570, net1_acc = 0.9688, net1_test_acc = 0.8314
Epoch: [ 69] [1800/4000] time: 40551.1409, dice0 = 0.04591, cross0 = 0.0508, kl0 = 0.0046, exclusion0 = 0.0408,     dice1 = 0.06661, cross1 = 0.0864, kl1 = 0.0092, exclusion1 = 0.0562
1.2298422
Epoch: [ 69] [1850/4000] time: 40558.5508, net0_loss = 0.03984, net0_acc = 0.9948, net0_test_acc = 0.9279,     net1_loss = 0.08850, net1_acc = 0.9868, net1_test_acc = 0.8977
Epoch: [ 69] [1850/4000] time: 40558.5508, dice0 = 0.01432, cross0 = 0.0153, kl0 = 0.0033, exclusion0 = 0.0171,     dice1 = 0.03338, cross1 = 0.0303, kl1 = 0.0073, exclusion1 = 0.0423
1.1494955
Epoch: [ 69] [1900/4000] time: 40565.9879, net0_loss = 0.11076, net0_acc = 0.9832, net0_test_acc = 0.9555,     net1_loss = 0.10067, net1_acc = 0.9864, net1_test_acc = 0.9415
Epoch: [ 69] [1900/4000] time: 40565.9879, dice0 = 0.03887, cross0 = 0.0483, kl0 = 0.0085, exclusion0 = 0.0388,     dice1 = 0.03827, cross1 = 0.0359, kl1 = 0.0085, exclusion1 = 0.0444
1.1761236
Epoch: [ 69] [1950/4000] time: 40573.2672, net0_loss = 0.10236, net0_acc = 0.9826, net0_test_acc = 0.9209,     net1_loss = 0.08480, net1_acc = 0.9879, net1_test_acc = 0.9908
Epoch: [ 69] [1950/4000] time: 40573.2672, dice0 = 0.03854, cross0 = 0.0484, kl0 = 0.0029, exclusion0 = 0.0280,     dice1 = 0.03244, cross1 = 0.0293, kl1 = 0.0063, exclusion1 = 0.0399
1.1789633
Epoch: [ 69] [2000/4000] time: 40580.8307, net0_loss = 0.12477, net0_acc = 0.9781, net0_test_acc = 0.9578,     net1_loss = 0.06041, net1_acc = 0.9898, net1_test_acc = 0.7921
Epoch: [ 69] [2000/4000] time: 40580.8308, dice0 = 0.04793, cross0 = 0.0573, kl0 = 0.0038, exclusion0 = 0.0354,     dice1 = 0.02403, cross1 = 0.0261, kl1 = 0.0016, exclusion1 = 0.0190
1.1376432
Epoch: [ 69] [2050/4000] time: 40588.2515, net0_loss = 0.23394, net0_acc = 0.9636, net0_test_acc = 0.8777,     net1_loss = 0.07714, net1_acc = 0.9879, net1_test_acc = 0.9856
Epoch: [ 69] [2050/4000] time: 40588.2516, dice0 = 0.08651, cross0 = 0.0888, kl0 = 0.0195, exclusion0 = 0.0979,     dice1 = 0.03145, cross1 = 0.0281, kl1 = 0.0026, exclusion1 = 0.0325
1.0470034
Epoch: [ 69] [2100/4000] time: 40595.6762, net0_loss = 0.04059, net0_acc = 0.9947, net0_test_acc = 0.9357,     net1_loss = 0.09034, net1_acc = 0.9865, net1_test_acc = 0.9203
Epoch: [ 69] [2100/4000] time: 40595.6763, dice0 = 0.01402, cross0 = 0.0192, kl0 = 0.0015, exclusion0 = 0.0133,     dice1 = 0.03497, cross1 = 0.0342, kl1 = 0.0052, exclusion1 = 0.0371
1.1226823
Epoch: [ 69] [2150/4000] time: 40603.0784, net0_loss = 0.18580, net0_acc = 0.9708, net0_test_acc = 0.8739,     net1_loss = 0.23275, net1_acc = 0.9673, net1_test_acc = 0.9120
Epoch: [ 69] [2150/4000] time: 40603.0784, dice0 = 0.07031, cross0 = 0.0664, kl0 = 0.0174, exclusion0 = 0.0808,     dice1 = 0.07599, cross1 = 0.0804, kl1 = 0.0355, exclusion1 = 0.1171
1.1224704
Epoch: [ 69] [2200/4000] time: 40610.4881, net0_loss = 0.11494, net0_acc = 0.9810, net0_test_acc = 0.9367,     net1_loss = 0.15825, net1_acc = 0.9758, net1_test_acc = 0.8280
Epoch: [ 69] [2200/4000] time: 40610.4882, dice0 = 0.04589, cross0 = 0.0470, kl0 = 0.0035, exclusion0 = 0.0406,     dice1 = 0.05824, cross1 = 0.0593, kl1 = 0.0142, exclusion1 = 0.0671
1.0761071
Epoch: [ 69] [2250/4000] time: 40617.7244, net0_loss = 0.07650, net0_acc = 0.9882, net0_test_acc = 0.9061,     net1_loss = 0.15942, net1_acc = 0.9718, net1_test_acc = 0.8857
Epoch: [ 69] [2250/4000] time: 40617.7244, dice0 = 0.03055, cross0 = 0.0304, kl0 = 0.0026, exclusion0 = 0.0285,     dice1 = 0.06193, cross1 = 0.0698, kl1 = 0.0043, exclusion1 = 0.0510
1.0819687
Epoch: [ 69] [2300/4000] time: 40625.2442, net0_loss = 0.13133, net0_acc = 0.9757, net0_test_acc = 0.9311,     net1_loss = 0.18668, net1_acc = 0.9703, net1_test_acc = 0.9256
Epoch: [ 69] [2300/4000] time: 40625.2443, dice0 = 0.05192, cross0 = 0.0598, kl0 = 0.0029, exclusion0 = 0.0363,     dice1 = 0.06842, cross1 = 0.0787, kl1 = 0.0121, exclusion1 = 0.0670
1.1076002
Epoch: [ 69] [2350/4000] time: 40632.6937, net0_loss = 0.23232, net0_acc = 0.9645, net0_test_acc = 0.8911,     net1_loss = 0.18284, net1_acc = 0.9696, net1_test_acc = 0.8993
Epoch: [ 69] [2350/4000] time: 40632.6937, dice0 = 0.08159, cross0 = 0.1076, kl0 = 0.0118, exclusion0 = 0.0745,     dice1 = 0.06503, cross1 = 0.0902, kl1 = 0.0072, exclusion1 = 0.0481
1.1934661
Epoch: [ 69] [2400/4000] time: 40640.1079, net0_loss = 0.18861, net0_acc = 0.9703, net0_test_acc = 0.9363,     net1_loss = 0.25962, net1_acc = 0.9583, net1_test_acc = 0.9429
Epoch: [ 69] [2400/4000] time: 40640.1079, dice0 = 0.06841, cross0 = 0.0708, kl0 = 0.0179, exclusion0 = 0.0810,     dice1 = 0.09380, cross1 = 0.1088, kl1 = 0.0182, exclusion1 = 0.0959
1.0683085
Epoch: [ 69] [2450/4000] time: 40647.5181, net0_loss = 0.10643, net0_acc = 0.9821, net0_test_acc = 0.9825,     net1_loss = 0.23799, net1_acc = 0.9600, net1_test_acc = 0.9896
Epoch: [ 69] [2450/4000] time: 40647.5181, dice0 = 0.04233, cross0 = 0.0461, kl0 = 0.0037, exclusion0 = 0.0322,     dice1 = 0.08416, cross1 = 0.1254, kl1 = 0.0047, exclusion1 = 0.0521
1.0761646
Epoch: [ 69] [2500/4000] time: 40654.9247, net0_loss = 0.12974, net0_acc = 0.9782, net0_test_acc = 0.9603,     net1_loss = 0.07769, net1_acc = 0.9884, net1_test_acc = 0.9554
Epoch: [ 69] [2500/4000] time: 40654.9248, dice0 = 0.04912, cross0 = 0.0579, kl0 = 0.0046, exclusion0 = 0.0409,     dice1 = 0.03175, cross1 = 0.0255, kl1 = 0.0041, exclusion1 = 0.0369
1.1247631
Epoch: [ 69] [2550/4000] time: 40662.3111, net0_loss = 0.08188, net0_acc = 0.9878, net0_test_acc = 0.9712,     net1_loss = 0.13317, net1_acc = 0.9767, net1_test_acc = 0.9196
Epoch: [ 69] [2550/4000] time: 40662.3112, dice0 = 0.03195, cross0 = 0.0320, kl0 = 0.0028, exclusion0 = 0.0331,     dice1 = 0.05025, cross1 = 0.0646, kl1 = 0.0028, exclusion1 = 0.0338
1.176188
Epoch: [ 69] [2600/4000] time: 40669.7007, net0_loss = 0.17319, net0_acc = 0.9715, net0_test_acc = 0.8946,     net1_loss = 0.18883, net1_acc = 0.9678, net1_test_acc = 0.9888
Epoch: [ 69] [2600/4000] time: 40669.7008, dice0 = 0.06558, cross0 = 0.0754, kl0 = 0.0064, exclusion0 = 0.0579,     dice1 = 0.06875, cross1 = 0.0854, kl1 = 0.0092, exclusion1 = 0.0600
1.1397069
Epoch: [ 69] [2650/4000] time: 40677.0949, net0_loss = 0.11673, net0_acc = 0.9828, net0_test_acc = 0.9041,     net1_loss = 0.09600, net1_acc = 0.9839, net1_test_acc = 0.9900
Epoch: [ 69] [2650/4000] time: 40677.0950, dice0 = 0.04327, cross0 = 0.0412, kl0 = 0.0100, exclusion0 = 0.0545,     dice1 = 0.03771, cross1 = 0.0431, kl1 = 0.0019, exclusion1 = 0.0285
1.1640102
Epoch: [ 69] [2700/4000] time: 40684.4961, net0_loss = 0.13588, net0_acc = 0.9774, net0_test_acc = 0.9082,     net1_loss = 0.11244, net1_acc = 0.9799, net1_test_acc = 0.9094
Epoch: [ 69] [2700/4000] time: 40684.4961, dice0 = 0.05041, cross0 = 0.0600, kl0 = 0.0067, exclusion0 = 0.0442,     dice1 = 0.04313, cross1 = 0.0528, kl1 = 0.0030, exclusion1 = 0.0301
1.0854437
Epoch: [ 69] [2750/4000] time: 40691.9032, net0_loss = 0.07890, net0_acc = 0.9884, net0_test_acc = 0.9599,     net1_loss = 0.22060, net1_acc = 0.9646, net1_test_acc = 0.9613
Epoch: [ 69] [2750/4000] time: 40691.9032, dice0 = 0.02958, cross0 = 0.0288, kl0 = 0.0062, exclusion0 = 0.0349,     dice1 = 0.07634, cross1 = 0.1019, kl1 = 0.0190, exclusion1 = 0.0658
1.0527284
Epoch: [ 69] [2800/4000] time: 40699.3369, net0_loss = 0.32448, net0_acc = 0.9445, net0_test_acc = 0.7772,     net1_loss = 0.20542, net1_acc = 0.9684, net1_test_acc = 0.8986
Epoch: [ 69] [2800/4000] time: 40699.3370, dice0 = 0.11258, cross0 = 0.1562, kl0 = 0.0198, exclusion0 = 0.0916,     dice1 = 0.07683, cross1 = 0.0865, kl1 = 0.0072, exclusion1 = 0.0770
1.121148
Epoch: [ 69] [2850/4000] time: 40706.7225, net0_loss = 0.12041, net0_acc = 0.9798, net0_test_acc = 0.8382,     net1_loss = 0.09633, net1_acc = 0.9840, net1_test_acc = 0.8381
Epoch: [ 69] [2850/4000] time: 40706.7226, dice0 = 0.04302, cross0 = 0.0635, kl0 = 0.0029, exclusion0 = 0.0249,     dice1 = 0.03742, cross1 = 0.0428, kl1 = 0.0037, exclusion1 = 0.0285
1.1120164
Epoch: [ 69] [2900/4000] time: 40714.1597, net0_loss = 0.16060, net0_acc = 0.9742, net0_test_acc = 0.9842,     net1_loss = 0.19140, net1_acc = 0.9696, net1_test_acc = 0.9712
Epoch: [ 69] [2900/4000] time: 40714.1598, dice0 = 0.05532, cross0 = 0.0775, kl0 = 0.0079, exclusion0 = 0.0477,     dice1 = 0.06879, cross1 = 0.0776, kl1 = 0.0161, exclusion1 = 0.0739
1.1120185
Epoch: [ 69] [2950/4000] time: 40721.5357, net0_loss = 0.21292, net0_acc = 0.9657, net0_test_acc = 0.9365,     net1_loss = 0.07813, net1_acc = 0.9873, net1_test_acc = 0.9460
Epoch: [ 69] [2950/4000] time: 40721.5358, dice0 = 0.08498, cross0 = 0.0790, kl0 = 0.0082, exclusion0 = 0.0896,     dice1 = 0.03105, cross1 = 0.0294, kl1 = 0.0046, exclusion1 = 0.0309
1.2435393
Epoch: [ 69] [3000/4000] time: 40728.9418, net0_loss = 0.11679, net0_acc = 0.9814, net0_test_acc = 0.9514,     net1_loss = 0.17378, net1_acc = 0.9718, net1_test_acc = 0.9716
Epoch: [ 69] [3000/4000] time: 40728.9419, dice0 = 0.04384, cross0 = 0.0477, kl0 = 0.0064, exclusion0 = 0.0441,     dice1 = 0.06564, cross1 = 0.0698, kl1 = 0.0103, exclusion1 = 0.0663
1.0562925
Epoch: [ 69] [3050/4000] time: 40736.3678, net0_loss = 0.15233, net0_acc = 0.9725, net0_test_acc = 0.8989,     net1_loss = 0.06064, net1_acc = 0.9920, net1_test_acc = 0.9746
Epoch: [ 69] [3050/4000] time: 40736.3678, dice0 = 0.05797, cross0 = 0.0734, kl0 = 0.0037, exclusion0 = 0.0382,     dice1 = 0.02289, cross1 = 0.0205, kl1 = 0.0052, exclusion1 = 0.0294
1.2287517
Epoch: [ 69] [3100/4000] time: 40743.7461, net0_loss = 0.11028, net0_acc = 0.9820, net0_test_acc = 0.9523,     net1_loss = 0.16643, net1_acc = 0.9756, net1_test_acc = 0.9321
Epoch: [ 69] [3100/4000] time: 40743.7462, dice0 = 0.04307, cross0 = 0.0453, kl0 = 0.0040, exclusion0 = 0.0398,     dice1 = 0.06058, cross1 = 0.0619, kl1 = 0.0148, exclusion1 = 0.0731
1.2462168
Epoch: [ 69] [3150/4000] time: 40751.1650, net0_loss = 0.16830, net0_acc = 0.9720, net0_test_acc = 0.9384,     net1_loss = 0.05064, net1_acc = 0.9923, net1_test_acc = 0.9314
Epoch: [ 69] [3150/4000] time: 40751.1650, dice0 = 0.06635, cross0 = 0.0668, kl0 = 0.0062, exclusion0 = 0.0640,     dice1 = 0.01994, cross1 = 0.0193, kl1 = 0.0021, exclusion1 = 0.0209
1.1176288
Epoch: [ 69] [3200/4000] time: 40758.5464, net0_loss = 0.11391, net0_acc = 0.9825, net0_test_acc = 0.9734,     net1_loss = 0.16337, net1_acc = 0.9741, net1_test_acc = 0.9435
Epoch: [ 69] [3200/4000] time: 40758.5465, dice0 = 0.04432, cross0 = 0.0412, kl0 = 0.0062, exclusion0 = 0.0507,     dice1 = 0.05932, cross1 = 0.0738, kl1 = 0.0078, exclusion1 = 0.0526
1.0859485
Epoch: [ 69] [3250/4000] time: 40765.9370, net0_loss = 0.16111, net0_acc = 0.9754, net0_test_acc = 0.7621,     net1_loss = 0.20378, net1_acc = 0.9667, net1_test_acc = 0.9414
Epoch: [ 69] [3250/4000] time: 40765.9371, dice0 = 0.06021, cross0 = 0.0648, kl0 = 0.0104, exclusion0 = 0.0617,     dice1 = 0.07587, cross1 = 0.0845, kl1 = 0.0137, exclusion1 = 0.0732
1.1254318
Epoch: [ 69] [3300/4000] time: 40773.3263, net0_loss = 0.08371, net0_acc = 0.9866, net0_test_acc = 0.8910,     net1_loss = 0.10399, net1_acc = 0.9830, net1_test_acc = 0.8188
Epoch: [ 69] [3300/4000] time: 40773.3264, dice0 = 0.03250, cross0 = 0.0356, kl0 = 0.0029, exclusion0 = 0.0284,     dice1 = 0.04082, cross1 = 0.0424, kl1 = 0.0038, exclusion1 = 0.0378
1.1809626
Epoch: [ 69] [3350/4000] time: 40780.8042, net0_loss = 0.10075, net0_acc = 0.9829, net0_test_acc = 0.8939,     net1_loss = 0.24716, net1_acc = 0.9620, net1_test_acc = 0.9748
Epoch: [ 69] [3350/4000] time: 40780.8043, dice0 = 0.04193, cross0 = 0.0372, kl0 = 0.0030, exclusion0 = 0.0402,     dice1 = 0.08287, cross1 = 0.1202, kl1 = 0.0131, exclusion1 = 0.0752
1.1588328
Epoch: [ 69] [3400/4000] time: 40788.2243, net0_loss = 0.15162, net0_acc = 0.9746, net0_test_acc = 0.9167,     net1_loss = 0.08696, net1_acc = 0.9852, net1_test_acc = 0.9785
Epoch: [ 69] [3400/4000] time: 40788.2244, dice0 = 0.05231, cross0 = 0.0756, kl0 = 0.0085, exclusion0 = 0.0389,     dice1 = 0.03349, cross1 = 0.0385, kl1 = 0.0041, exclusion1 = 0.0257
1.1910636
Epoch: [ 69] [3450/4000] time: 40795.6718, net0_loss = 0.14123, net0_acc = 0.9791, net0_test_acc = 0.9067,     net1_loss = 0.19357, net1_acc = 0.9682, net1_test_acc = 0.9412
Epoch: [ 69] [3450/4000] time: 40795.6718, dice0 = 0.05021, cross0 = 0.0504, kl0 = 0.0149, exclusion0 = 0.0663,     dice1 = 0.07330, cross1 = 0.0776, kl1 = 0.0146, exclusion1 = 0.0708
1.2049844
Epoch: [ 69] [3500/4000] time: 40803.0749, net0_loss = 0.14813, net0_acc = 0.9753, net0_test_acc = 0.9561,     net1_loss = 0.26233, net1_acc = 0.9536, net1_test_acc = 0.9227
Epoch: [ 69] [3500/4000] time: 40803.0749, dice0 = 0.05321, cross0 = 0.0721, kl0 = 0.0056, exclusion0 = 0.0400,     dice1 = 0.09646, cross1 = 0.1249, kl1 = 0.0103, exclusion1 = 0.0716
1.0913178
Epoch: [ 69] [3550/4000] time: 40810.4456, net0_loss = 0.09126, net0_acc = 0.9865, net0_test_acc = 0.7639,     net1_loss = 0.13024, net1_acc = 0.9824, net1_test_acc = 0.8340
Epoch: [ 69] [3550/4000] time: 40810.4457, dice0 = 0.03471, cross0 = 0.0314, kl0 = 0.0088, exclusion0 = 0.0414,     dice1 = 0.04847, cross1 = 0.0410, kl1 = 0.0131, exclusion1 = 0.0685
1.1451459
Epoch: [ 69] [3600/4000] time: 40817.8353, net0_loss = 0.11397, net0_acc = 0.9816, net0_test_acc = 0.8318,     net1_loss = 0.06318, net1_acc = 0.9918, net1_test_acc = 0.8325
Epoch: [ 69] [3600/4000] time: 40817.8354, dice0 = 0.04483, cross0 = 0.0470, kl0 = 0.0025, exclusion0 = 0.0417,     dice1 = 0.02442, cross1 = 0.0217, kl1 = 0.0063, exclusion1 = 0.0279
1.3296566
Epoch: [ 69] [3650/4000] time: 40825.2394, net0_loss = 0.24286, net0_acc = 0.9578, net0_test_acc = 0.9784,     net1_loss = 0.24162, net1_acc = 0.9584, net1_test_acc = 0.9464
Epoch: [ 69] [3650/4000] time: 40825.2394, dice0 = 0.08832, cross0 = 0.1088, kl0 = 0.0126, exclusion0 = 0.0788,     dice1 = 0.08521, cross1 = 0.1254, kl1 = 0.0080, exclusion1 = 0.0541
1.1756353
Epoch: [ 69] [3700/4000] time: 40832.6628, net0_loss = 0.15605, net0_acc = 0.9745, net0_test_acc = 0.9887,     net1_loss = 0.09107, net1_acc = 0.9866, net1_test_acc = 0.9541
Epoch: [ 69] [3700/4000] time: 40832.6629, dice0 = 0.05293, cross0 = 0.0847, kl0 = 0.0045, exclusion0 = 0.0324,     dice1 = 0.03636, cross1 = 0.0302, kl1 = 0.0056, exclusion1 = 0.0434
1.1820271
Epoch: [ 69] [3750/4000] time: 40840.1138, net0_loss = 0.07137, net0_acc = 0.9890, net0_test_acc = 0.9456,     net1_loss = 0.26465, net1_acc = 0.9564, net1_test_acc = 0.8777
Epoch: [ 69] [3750/4000] time: 40840.1139, dice0 = 0.02679, cross0 = 0.0326, kl0 = 0.0026, exclusion0 = 0.0214,     dice1 = 0.09389, cross1 = 0.1255, kl1 = 0.0134, exclusion1 = 0.0771
1.0528224
Epoch: [ 69] [3800/4000] time: 40847.3353, net0_loss = 0.10065, net0_acc = 0.9818, net0_test_acc = 0.9823,     net1_loss = 0.06124, net1_acc = 0.9907, net1_test_acc = 0.8764
Epoch: [ 69] [3800/4000] time: 40847.3354, dice0 = 0.03734, cross0 = 0.0458, kl0 = 0.0064, exclusion0 = 0.0286,     dice1 = 0.02490, cross1 = 0.0227, kl1 = 0.0027, exclusion1 = 0.0246
1.1677055
Epoch: [ 69] [3850/4000] time: 40854.8603, net0_loss = 0.13736, net0_acc = 0.9796, net0_test_acc = 0.9731,     net1_loss = 0.12926, net1_acc = 0.9795, net1_test_acc = 0.9622
Epoch: [ 69] [3850/4000] time: 40854.8604, dice0 = 0.05118, cross0 = 0.0510, kl0 = 0.0102, exclusion0 = 0.0602,     dice1 = 0.04793, cross1 = 0.0530, kl1 = 0.0090, exclusion1 = 0.0477
1.1999261
Epoch: [ 69] [3900/4000] time: 40862.3313, net0_loss = 0.07804, net0_acc = 0.9877, net0_test_acc = 0.9423,     net1_loss = 0.17313, net1_acc = 0.9731, net1_test_acc = 0.9830
Epoch: [ 69] [3900/4000] time: 40862.3313, dice0 = 0.03129, cross0 = 0.0299, kl0 = 0.0033, exclusion0 = 0.0303,     dice1 = 0.06262, cross1 = 0.0694, kl1 = 0.0134, exclusion1 = 0.0689
1.1858306
Epoch: [ 69] [3950/4000] time: 40869.7679, net0_loss = 0.13890, net0_acc = 0.9805, net0_test_acc = 0.8670,     net1_loss = 0.30166, net1_acc = 0.9553, net1_test_acc = 0.9527
Epoch: [ 69] [3950/4000] time: 40869.7680, dice0 = 0.04646, cross0 = 0.0448, kl0 = 0.0226, exclusion0 = 0.0726,     dice1 = 0.09573, cross1 = 0.1305, kl1 = 0.0401, exclusion1 = 0.1108
1.1636201
Epoch: [ 70] [  0/4000] time: 40877.1725, net0_loss = 0.08963, net0_acc = 0.9853, net0_test_acc = 0.8971,     net1_loss = 0.21145, net1_acc = 0.9622, net1_test_acc = 0.9658
Epoch: [ 70] [  0/4000] time: 40877.1727, dice0 = 0.03338, cross0 = 0.0377, kl0 = 0.0049, exclusion0 = 0.0321,     dice1 = 0.07977, cross1 = 0.1020, kl1 = 0.0045, exclusion1 = 0.0548
1.1619109
Epoch: [ 70] [ 50/4000] time: 40884.5768, net0_loss = 0.17483, net0_acc = 0.9713, net0_test_acc = 0.9604,     net1_loss = 0.10895, net1_acc = 0.9818, net1_test_acc = 0.9474
Epoch: [ 70] [ 50/4000] time: 40884.5768, dice0 = 0.06005, cross0 = 0.0875, kl0 = 0.0093, exclusion0 = 0.0453,     dice1 = 0.04218, cross1 = 0.0443, kl1 = 0.0054, exclusion1 = 0.0396
1.1409019
Epoch: [ 70] [100/4000] time: 40891.9703, net0_loss = 0.07905, net0_acc = 0.9865, net0_test_acc = 0.9055,     net1_loss = 0.14147, net1_acc = 0.9811, net1_test_acc = 0.9736
Epoch: [ 70] [100/4000] time: 40891.9704, dice0 = 0.02965, cross0 = 0.0387, kl0 = 0.0017, exclusion0 = 0.0197,     dice1 = 0.04464, cross1 = 0.0604, kl1 = 0.0166, exclusion1 = 0.0563
1.167811
Epoch: [ 70] [150/4000] time: 40899.3840, net0_loss = 0.08092, net0_acc = 0.9861, net0_test_acc = 0.9807,     net1_loss = 0.19389, net1_acc = 0.9669, net1_test_acc = 0.9522
Epoch: [ 70] [150/4000] time: 40899.3841, dice0 = 0.03222, cross0 = 0.0340, kl0 = 0.0023, exclusion0 = 0.0271,     dice1 = 0.07068, cross1 = 0.0927, kl1 = 0.0074, exclusion1 = 0.0537
1.2194433
Epoch: [ 70] [200/4000] time: 40906.8011, net0_loss = 0.18814, net0_acc = 0.9660, net0_test_acc = 0.7268,     net1_loss = 0.16725, net1_acc = 0.9730, net1_test_acc = 0.9087
Epoch: [ 70] [200/4000] time: 40906.8012, dice0 = 0.06868, cross0 = 0.0936, kl0 = 0.0075, exclusion0 = 0.0442,     dice1 = 0.05822, cross1 = 0.0849, kl1 = 0.0056, exclusion1 = 0.0427
1.2069194
Epoch: [ 70] [250/4000] time: 40914.2210, net0_loss = 0.13024, net0_acc = 0.9803, net0_test_acc = 0.9439,     net1_loss = 0.15948, net1_acc = 0.9731, net1_test_acc = 0.9418
Epoch: [ 70] [250/4000] time: 40914.2211, dice0 = 0.04948, cross0 = 0.0510, kl0 = 0.0074, exclusion0 = 0.0520,     dice1 = 0.05685, cross1 = 0.0809, kl1 = 0.0061, exclusion1 = 0.0373
1.323987
Epoch: [ 70] [300/4000] time: 40921.6367, net0_loss = 0.26122, net0_acc = 0.9568, net0_test_acc = 0.9402,     net1_loss = 0.10673, net1_acc = 0.9850, net1_test_acc = 0.9520
Epoch: [ 70] [300/4000] time: 40921.6367, dice0 = 0.08825, cross0 = 0.1362, kl0 = 0.0116, exclusion0 = 0.0619,     dice1 = 0.03665, cross1 = 0.0517, kl1 = 0.0041, exclusion1 = 0.0327
1.1608992
Epoch: [ 70] [350/4000] time: 40929.0463, net0_loss = 0.07390, net0_acc = 0.9888, net0_test_acc = 0.9454,     net1_loss = 0.12347, net1_acc = 0.9791, net1_test_acc = 0.9234
Epoch: [ 70] [350/4000] time: 40929.0464, dice0 = 0.02945, cross0 = 0.0278, kl0 = 0.0032, exclusion0 = 0.0300,     dice1 = 0.04972, cross1 = 0.0498, kl1 = 0.0035, exclusion1 = 0.0444
1.1277611
Epoch: [ 70] [400/4000] time: 40936.4087, net0_loss = 0.18362, net0_acc = 0.9687, net0_test_acc = 0.8099,     net1_loss = 0.13576, net1_acc = 0.9769, net1_test_acc = 0.9169
Epoch: [ 70] [400/4000] time: 40936.4087, dice0 = 0.07214, cross0 = 0.0768, kl0 = 0.0067, exclusion0 = 0.0626,     dice1 = 0.05122, cross1 = 0.0536, kl1 = 0.0097, exclusion1 = 0.0522
1.2011166
Epoch: [ 70] [450/4000] time: 40943.8392, net0_loss = 0.03602, net0_acc = 0.9963, net0_test_acc = 0.8992,     net1_loss = 0.22993, net1_acc = 0.9635, net1_test_acc = 0.9452
Epoch: [ 70] [450/4000] time: 40943.8392, dice0 = 0.01389, cross0 = 0.0117, kl0 = 0.0018, exclusion0 = 0.0190,     dice1 = 0.08299, cross1 = 0.0996, kl1 = 0.0172, exclusion1 = 0.0774
1.1806872
Epoch: [ 70] [500/4000] time: 40951.1619, net0_loss = 0.11147, net0_acc = 0.9799, net0_test_acc = 0.9521,     net1_loss = 0.07556, net1_acc = 0.9886, net1_test_acc = 0.9313
Epoch: [ 70] [500/4000] time: 40951.1619, dice0 = 0.04278, cross0 = 0.0483, kl0 = 0.0047, exclusion0 = 0.0361,     dice1 = 0.03072, cross1 = 0.0254, kl1 = 0.0037, exclusion1 = 0.0351
1.3106735
Epoch: [ 70] [550/4000] time: 40958.6162, net0_loss = 0.10122, net0_acc = 0.9834, net0_test_acc = 0.8366,     net1_loss = 0.27799, net1_acc = 0.9549, net1_test_acc = 0.9339
Epoch: [ 70] [550/4000] time: 40958.6162, dice0 = 0.03914, cross0 = 0.0452, kl0 = 0.0030, exclusion0 = 0.0308,     dice1 = 0.09369, cross1 = 0.1527, kl1 = 0.0080, exclusion1 = 0.0552
1.2921884
Epoch: [ 70] [600/4000] time: 40966.0383, net0_loss = 0.11846, net0_acc = 0.9802, net0_test_acc = 0.9619,     net1_loss = 0.17299, net1_acc = 0.9737, net1_test_acc = 0.9551
Epoch: [ 70] [600/4000] time: 40966.0383, dice0 = 0.04607, cross0 = 0.0521, kl0 = 0.0034, exclusion0 = 0.0371,     dice1 = 0.06315, cross1 = 0.0714, kl1 = 0.0108, exclusion1 = 0.0661
1.1894385
Epoch: [ 70] [650/4000] time: 40973.4646, net0_loss = 0.14998, net0_acc = 0.9752, net0_test_acc = 0.9548,     net1_loss = 0.07339, net1_acc = 0.9887, net1_test_acc = 0.9901
Epoch: [ 70] [650/4000] time: 40973.4647, dice0 = 0.05816, cross0 = 0.0646, kl0 = 0.0054, exclusion0 = 0.0490,     dice1 = 0.02850, cross1 = 0.0294, kl1 = 0.0028, exclusion1 = 0.0282
1.2393634
Epoch: [ 70] [700/4000] time: 40980.8074, net0_loss = 0.17353, net0_acc = 0.9707, net0_test_acc = 0.9613,     net1_loss = 0.06420, net1_acc = 0.9889, net1_test_acc = 0.9129
Epoch: [ 70] [700/4000] time: 40980.8075, dice0 = 0.06493, cross0 = 0.0806, kl0 = 0.0059, exclusion0 = 0.0501,     dice1 = 0.02515, cross1 = 0.0282, kl1 = 0.0014, exclusion1 = 0.0203
1.1497934
Epoch: [ 70] [750/4000] time: 40988.2064, net0_loss = 0.18220, net0_acc = 0.9679, net0_test_acc = 0.8557,     net1_loss = 0.10955, net1_acc = 0.9825, net1_test_acc = 0.9241
Epoch: [ 70] [750/4000] time: 40988.2065, dice0 = 0.07078, cross0 = 0.0801, kl0 = 0.0052, exclusion0 = 0.0575,     dice1 = 0.04085, cross1 = 0.0512, kl1 = 0.0030, exclusion1 = 0.0320
1.1043683
Epoch: [ 70] [800/4000] time: 40995.5449, net0_loss = 0.14334, net0_acc = 0.9755, net0_test_acc = 0.8275,     net1_loss = 0.12476, net1_acc = 0.9769, net1_test_acc = 0.9335
Epoch: [ 70] [800/4000] time: 40995.5450, dice0 = 0.05436, cross0 = 0.0613, kl0 = 0.0065, exclusion0 = 0.0488,     dice1 = 0.04948, cross1 = 0.0565, kl1 = 0.0024, exclusion1 = 0.0352
1.1037235
Epoch: [ 70] [850/4000] time: 41003.0493, net0_loss = 0.11847, net0_acc = 0.9802, net0_test_acc = 0.9816,     net1_loss = 0.08614, net1_acc = 0.9877, net1_test_acc = 0.8940
Epoch: [ 70] [850/4000] time: 41003.0494, dice0 = 0.04654, cross0 = 0.0482, kl0 = 0.0037, exclusion0 = 0.0437,     dice1 = 0.03246, cross1 = 0.0297, kl1 = 0.0074, exclusion1 = 0.0406
1.1582899
Epoch: [ 70] [900/4000] time: 41010.4348, net0_loss = 0.12638, net0_acc = 0.9843, net0_test_acc = 0.9502,     net1_loss = 0.09601, net1_acc = 0.9847, net1_test_acc = 0.9635
Epoch: [ 70] [900/4000] time: 41010.4349, dice0 = 0.03851, cross0 = 0.0635, kl0 = 0.0076, exclusion0 = 0.0413,     dice1 = 0.03866, cross1 = 0.0381, kl1 = 0.0030, exclusion1 = 0.0355
1.1026974
Epoch: [ 70] [950/4000] time: 41017.8127, net0_loss = 0.21030, net0_acc = 0.9672, net0_test_acc = 0.8996,     net1_loss = 0.11174, net1_acc = 0.9822, net1_test_acc = 0.9265
Epoch: [ 70] [950/4000] time: 41017.8127, dice0 = 0.06895, cross0 = 0.1161, kl0 = 0.0062, exclusion0 = 0.0443,     dice1 = 0.04299, cross1 = 0.0445, kl1 = 0.0053, exclusion1 = 0.0433
1.1621807
Epoch: [ 70] [1000/4000] time: 41025.2328, net0_loss = 0.16436, net0_acc = 0.9740, net0_test_acc = 0.9548,     net1_loss = 0.09179, net1_acc = 0.9843, net1_test_acc = 0.8915
Epoch: [ 70] [1000/4000] time: 41025.2328, dice0 = 0.06358, cross0 = 0.0654, kl0 = 0.0076, exclusion0 = 0.0631,     dice1 = 0.03655, cross1 = 0.0376, kl1 = 0.0032, exclusion1 = 0.0321
1.1817563
Epoch: [ 70] [1050/4000] time: 41032.6899, net0_loss = 0.10650, net0_acc = 0.9864, net0_test_acc = 0.9684,     net1_loss = 0.16221, net1_acc = 0.9736, net1_test_acc = 0.9469
Epoch: [ 70] [1050/4000] time: 41032.6900, dice0 = 0.03608, cross0 = 0.0373, kl0 = 0.0144, exclusion0 = 0.0518,     dice1 = 0.06143, cross1 = 0.0656, kl1 = 0.0081, exclusion1 = 0.0622
1.1293358
Epoch: [ 70] [1100/4000] time: 41040.1120, net0_loss = 0.14921, net0_acc = 0.9750, net0_test_acc = 0.9217,     net1_loss = 0.05574, net1_acc = 0.9923, net1_test_acc = 0.9436
Epoch: [ 70] [1100/4000] time: 41040.1121, dice0 = 0.05856, cross0 = 0.0637, kl0 = 0.0039, exclusion0 = 0.0501,     dice1 = 0.02344, cross1 = 0.0184, kl1 = 0.0016, exclusion1 = 0.0263
1.1638997
Epoch: [ 70] [1150/4000] time: 41047.4802, net0_loss = 0.06621, net0_acc = 0.9917, net0_test_acc = 0.9455,     net1_loss = 0.08325, net1_acc = 0.9862, net1_test_acc = 0.7709
Epoch: [ 70] [1150/4000] time: 41047.4803, dice0 = 0.02600, cross0 = 0.0205, kl0 = 0.0044, exclusion0 = 0.0349,     dice1 = 0.03017, cross1 = 0.0417, kl1 = 0.0019, exclusion1 = 0.0209
1.2619123
Epoch: [ 70] [1200/4000] time: 41054.8859, net0_loss = 0.07758, net0_acc = 0.9862, net0_test_acc = 0.8609,     net1_loss = 0.08213, net1_acc = 0.9873, net1_test_acc = 0.8991
Epoch: [ 70] [1200/4000] time: 41054.8860, dice0 = 0.03076, cross0 = 0.0315, kl0 = 0.0039, exclusion0 = 0.0268,     dice1 = 0.03051, cross1 = 0.0361, kl1 = 0.0048, exclusion1 = 0.0261
1.1426383
Epoch: [ 70] [1250/4000] time: 41062.3404, net0_loss = 0.10455, net0_acc = 0.9805, net0_test_acc = 0.9097,     net1_loss = 0.14574, net1_acc = 0.9758, net1_test_acc = 0.7763
Epoch: [ 70] [1250/4000] time: 41062.3405, dice0 = 0.04230, cross0 = 0.0435, kl0 = 0.0028, exclusion0 = 0.0347,     dice1 = 0.05642, cross1 = 0.0594, kl1 = 0.0082, exclusion1 = 0.0516
1.2163808
Epoch: [ 70] [1300/4000] time: 41069.7606, net0_loss = 0.21089, net0_acc = 0.9657, net0_test_acc = 0.9337,     net1_loss = 0.13811, net1_acc = 0.9793, net1_test_acc = 0.9438
Epoch: [ 70] [1300/4000] time: 41069.7607, dice0 = 0.07527, cross0 = 0.0870, kl0 = 0.0195, exclusion0 = 0.0778,     dice1 = 0.04827, cross1 = 0.0616, kl1 = 0.0094, exclusion1 = 0.0471
1.257397
Epoch: [ 70] [1350/4000] time: 41077.1677, net0_loss = 0.18276, net0_acc = 0.9704, net0_test_acc = 0.9208,     net1_loss = 0.05818, net1_acc = 0.9905, net1_test_acc = 0.9349
Epoch: [ 70] [1350/4000] time: 41077.1678, dice0 = 0.06850, cross0 = 0.0694, kl0 = 0.0137, exclusion0 = 0.0761,     dice1 = 0.02277, cross1 = 0.0262, kl1 = 0.0013, exclusion1 = 0.0171
1.2262603
Epoch: [ 70] [1400/4000] time: 41084.5757, net0_loss = 0.10497, net0_acc = 0.9827, net0_test_acc = 0.9729,     net1_loss = 0.20525, net1_acc = 0.9690, net1_test_acc = 0.9292
Epoch: [ 70] [1400/4000] time: 41084.5758, dice0 = 0.03937, cross0 = 0.0466, kl0 = 0.0045, exclusion0 = 0.0335,     dice1 = 0.07101, cross1 = 0.0986, kl1 = 0.0067, exclusion1 = 0.0645
1.0865222
Epoch: [ 70] [1450/4000] time: 41091.8799, net0_loss = 0.09626, net0_acc = 0.9832, net0_test_acc = 0.9266,     net1_loss = 0.14253, net1_acc = 0.9762, net1_test_acc = 0.8709
Epoch: [ 70] [1450/4000] time: 41091.8800, dice0 = 0.03577, cross0 = 0.0458, kl0 = 0.0041, exclusion0 = 0.0254,     dice1 = 0.05329, cross1 = 0.0588, kl1 = 0.0096, exclusion1 = 0.0514
1.0826998
Epoch: [ 70] [1500/4000] time: 41099.4072, net0_loss = 0.12264, net0_acc = 0.9791, net0_test_acc = 0.9583,     net1_loss = 0.13053, net1_acc = 0.9781, net1_test_acc = 0.9800
Epoch: [ 70] [1500/4000] time: 41099.4073, dice0 = 0.04616, cross0 = 0.0551, kl0 = 0.0058, exclusion0 = 0.0371,     dice1 = 0.04641, cross1 = 0.0628, kl1 = 0.0073, exclusion1 = 0.0353
1.1143441
Epoch: [ 70] [1550/4000] time: 41106.8471, net0_loss = 0.10024, net0_acc = 0.9835, net0_test_acc = 0.8697,     net1_loss = 0.17687, net1_acc = 0.9710, net1_test_acc = 0.8601
Epoch: [ 70] [1550/4000] time: 41106.8472, dice0 = 0.03974, cross0 = 0.0397, kl0 = 0.0048, exclusion0 = 0.0368,     dice1 = 0.06708, cross1 = 0.0741, kl1 = 0.0090, exclusion1 = 0.0623
1.1710802
Epoch: [ 70] [1600/4000] time: 41114.2154, net0_loss = 0.13842, net0_acc = 0.9776, net0_test_acc = 0.9200,     net1_loss = 0.05585, net1_acc = 0.9925, net1_test_acc = 0.8979
Epoch: [ 70] [1600/4000] time: 41114.2154, dice0 = 0.05355, cross0 = 0.0588, kl0 = 0.0049, exclusion0 = 0.0473,     dice1 = 0.02206, cross1 = 0.0193, kl1 = 0.0030, exclusion1 = 0.0260
1.1845603
Epoch: [ 70] [1650/4000] time: 41121.4547, net0_loss = 0.18590, net0_acc = 0.9722, net0_test_acc = 0.9506,     net1_loss = 0.29016, net1_acc = 0.9567, net1_test_acc = 0.9522
Epoch: [ 70] [1650/4000] time: 41121.4548, dice0 = 0.06257, cross0 = 0.0747, kl0 = 0.0224, exclusion0 = 0.0748,     dice1 = 0.09025, cross1 = 0.1499, kl1 = 0.0224, exclusion1 = 0.0775
1.1842307
Epoch: [ 70] [1700/4000] time: 41129.0301, net0_loss = 0.25529, net0_acc = 0.9592, net0_test_acc = 0.9263,     net1_loss = 0.14592, net1_acc = 0.9764, net1_test_acc = 0.9897
Epoch: [ 70] [1700/4000] time: 41129.0301, dice0 = 0.08702, cross0 = 0.1216, kl0 = 0.0165, exclusion0 = 0.0768,     dice1 = 0.05330, cross1 = 0.0690, kl1 = 0.0048, exclusion1 = 0.0426
1.2561916
Epoch: [ 70] [1750/4000] time: 41136.4989, net0_loss = 0.12469, net0_acc = 0.9800, net0_test_acc = 0.9381,     net1_loss = 0.13056, net1_acc = 0.9792, net1_test_acc = 0.7996
Epoch: [ 70] [1750/4000] time: 41136.4990, dice0 = 0.04689, cross0 = 0.0541, kl0 = 0.0060, exclusion0 = 0.0414,     dice1 = 0.04958, cross1 = 0.0530, kl1 = 0.0076, exclusion1 = 0.0484
1.1651243
Epoch: [ 70] [1800/4000] time: 41143.9481, net0_loss = 0.10075, net0_acc = 0.9864, net0_test_acc = 0.8697,     net1_loss = 0.26005, net1_acc = 0.9559, net1_test_acc = 0.9851
Epoch: [ 70] [1800/4000] time: 41143.9482, dice0 = 0.03128, cross0 = 0.0537, kl0 = 0.0053, exclusion0 = 0.0262,     dice1 = 0.09161, cross1 = 0.1104, kl1 = 0.0256, exclusion1 = 0.0905
1.1127319
Epoch: [ 70] [1850/4000] time: 41151.3212, net0_loss = 0.10442, net0_acc = 0.9846, net0_test_acc = 0.9437,     net1_loss = 0.12586, net1_acc = 0.9812, net1_test_acc = 0.9133
Epoch: [ 70] [1850/4000] time: 41151.3213, dice0 = 0.04153, cross0 = 0.0360, kl0 = 0.0050, exclusion0 = 0.0488,     dice1 = 0.04723, cross1 = 0.0506, kl1 = 0.0082, exclusion1 = 0.0480
1.0499635
Epoch: [ 70] [1900/4000] time: 41158.7081, net0_loss = 0.04370, net0_acc = 0.9937, net0_test_acc = 0.8475,     net1_loss = 0.15137, net1_acc = 0.9726, net1_test_acc = 0.9105
Epoch: [ 70] [1900/4000] time: 41158.7082, dice0 = 0.01689, cross0 = 0.0167, kl0 = 0.0021, exclusion0 = 0.0183,     dice1 = 0.05828, cross1 = 0.0738, kl1 = 0.0026, exclusion1 = 0.0359
1.1319265
Epoch: [ 70] [1950/4000] time: 41166.1121, net0_loss = 0.25770, net0_acc = 0.9588, net0_test_acc = 0.8771,     net1_loss = 0.11765, net1_acc = 0.9811, net1_test_acc = 0.8463
Epoch: [ 70] [1950/4000] time: 41166.1122, dice0 = 0.09245, cross0 = 0.1071, kl0 = 0.0188, exclusion0 = 0.0975,     dice1 = 0.04591, cross1 = 0.0444, kl1 = 0.0064, exclusion1 = 0.0483
1.0556284
Epoch: [ 70] [2000/4000] time: 41173.5959, net0_loss = 0.14976, net0_acc = 0.9751, net0_test_acc = 0.9217,     net1_loss = 0.15816, net1_acc = 0.9738, net1_test_acc = 0.9352
Epoch: [ 70] [2000/4000] time: 41173.5960, dice0 = 0.05888, cross0 = 0.0609, kl0 = 0.0052, exclusion0 = 0.0547,     dice1 = 0.06010, cross1 = 0.0705, kl1 = 0.0057, exclusion1 = 0.0494
1.1727183
Epoch: [ 70] [2050/4000] time: 41181.0493, net0_loss = 0.21720, net0_acc = 0.9623, net0_test_acc = 0.9281,     net1_loss = 0.13100, net1_acc = 0.9798, net1_test_acc = 0.9249
Epoch: [ 70] [2050/4000] time: 41181.0493, dice0 = 0.07758, cross0 = 0.1070, kl0 = 0.0106, exclusion0 = 0.0547,     dice1 = 0.05218, cross1 = 0.0513, kl1 = 0.0036, exclusion1 = 0.0515
1.069153
Epoch: [ 70] [2100/4000] time: 41188.4147, net0_loss = 0.06544, net0_acc = 0.9897, net0_test_acc = 0.9081,     net1_loss = 0.07314, net1_acc = 0.9884, net1_test_acc = 0.9221
Epoch: [ 70] [2100/4000] time: 41188.4148, dice0 = 0.02593, cross0 = 0.0257, kl0 = 0.0023, exclusion0 = 0.0253,     dice1 = 0.02799, cross1 = 0.0317, kl1 = 0.0021, exclusion1 = 0.0248
1.2010422
Epoch: [ 70] [2150/4000] time: 41195.8425, net0_loss = 0.10728, net0_acc = 0.9846, net0_test_acc = 0.9367,     net1_loss = 0.18342, net1_acc = 0.9701, net1_test_acc = 0.9439
Epoch: [ 70] [2150/4000] time: 41195.8425, dice0 = 0.04372, cross0 = 0.0348, kl0 = 0.0055, exclusion0 = 0.0520,     dice1 = 0.06571, cross1 = 0.0826, kl1 = 0.0109, exclusion1 = 0.0593
1.1693426
Epoch: [ 70] [2200/4000] time: 41203.2791, net0_loss = 0.08781, net0_acc = 0.9870, net0_test_acc = 0.9825,     net1_loss = 0.10927, net1_acc = 0.9844, net1_test_acc = 0.9889
Epoch: [ 70] [2200/4000] time: 41203.2792, dice0 = 0.03351, cross0 = 0.0302, kl0 = 0.0065, exclusion0 = 0.0417,     dice1 = 0.03846, cross1 = 0.0400, kl1 = 0.0117, exclusion1 = 0.0498
1.0708388
Epoch: [ 70] [2250/4000] time: 41210.6716, net0_loss = 0.22518, net0_acc = 0.9611, net0_test_acc = 0.9622,     net1_loss = 0.11516, net1_acc = 0.9846, net1_test_acc = 0.9533
Epoch: [ 70] [2250/4000] time: 41210.6717, dice0 = 0.08595, cross0 = 0.0989, kl0 = 0.0081, exclusion0 = 0.0725,     dice1 = 0.04450, cross1 = 0.0378, kl1 = 0.0084, exclusion1 = 0.0574
1.2301581
Epoch: [ 70] [2300/4000] time: 41218.0321, net0_loss = 0.07200, net0_acc = 0.9882, net0_test_acc = 0.9727,     net1_loss = 0.09376, net1_acc = 0.9859, net1_test_acc = 0.9193
Epoch: [ 70] [2300/4000] time: 41218.0321, dice0 = 0.02905, cross0 = 0.0275, kl0 = 0.0030, exclusion0 = 0.0280,     dice1 = 0.03561, cross1 = 0.0391, kl1 = 0.0039, exclusion1 = 0.0342
1.2373147
Epoch: [ 70] [2350/4000] time: 41225.4284, net0_loss = 0.20169, net0_acc = 0.9663, net0_test_acc = 0.8878,     net1_loss = 0.11192, net1_acc = 0.9810, net1_test_acc = 0.9889
Epoch: [ 70] [2350/4000] time: 41225.4285, dice0 = 0.07290, cross0 = 0.0862, kl0 = 0.0134, exclusion0 = 0.0718,     dice1 = 0.04169, cross1 = 0.0480, kl1 = 0.0080, exclusion1 = 0.0363
1.190251
Epoch: [ 70] [2400/4000] time: 41232.8553, net0_loss = 0.19850, net0_acc = 0.9648, net0_test_acc = 0.9097,     net1_loss = 0.14951, net1_acc = 0.9728, net1_test_acc = 0.9889
Epoch: [ 70] [2400/4000] time: 41232.8554, dice0 = 0.07475, cross0 = 0.0916, kl0 = 0.0063, exclusion0 = 0.0580,     dice1 = 0.05900, cross1 = 0.0652, kl1 = 0.0036, exclusion1 = 0.0470
1.1753637
Epoch: [ 70] [2450/4000] time: 41240.2512, net0_loss = 0.15658, net0_acc = 0.9737, net0_test_acc = 0.9051,     net1_loss = 0.10577, net1_acc = 0.9830, net1_test_acc = 0.9157
Epoch: [ 70] [2450/4000] time: 41240.2513, dice0 = 0.05747, cross0 = 0.0744, kl0 = 0.0045, exclusion0 = 0.0450,     dice1 = 0.03859, cross1 = 0.0454, kl1 = 0.0062, exclusion1 = 0.0373
1.1512849
Epoch: [ 70] [2500/4000] time: 41247.6148, net0_loss = 0.09115, net0_acc = 0.9866, net0_test_acc = 0.9582,     net1_loss = 0.07207, net1_acc = 0.9877, net1_test_acc = 0.9599
Epoch: [ 70] [2500/4000] time: 41247.6149, dice0 = 0.03535, cross0 = 0.0329, kl0 = 0.0045, exclusion0 = 0.0413,     dice1 = 0.02868, cross1 = 0.0306, kl1 = 0.0021, exclusion1 = 0.0234
1.1949983
Epoch: [ 70] [2550/4000] time: 41255.0522, net0_loss = 0.08858, net0_acc = 0.9882, net0_test_acc = 0.7365,     net1_loss = 0.16076, net1_acc = 0.9727, net1_test_acc = 0.9117
Epoch: [ 70] [2550/4000] time: 41255.0522, dice0 = 0.03153, cross0 = 0.0317, kl0 = 0.0086, exclusion0 = 0.0422,     dice1 = 0.06171, cross1 = 0.0696, kl1 = 0.0073, exclusion1 = 0.0517
1.149497
Epoch: [ 70] [2600/4000] time: 41262.4026, net0_loss = 0.08632, net0_acc = 0.9853, net0_test_acc = 0.8405,     net1_loss = 0.21501, net1_acc = 0.9689, net1_test_acc = 0.8100
Epoch: [ 70] [2600/4000] time: 41262.4027, dice0 = 0.03349, cross0 = 0.0366, kl0 = 0.0038, exclusion0 = 0.0287,     dice1 = 0.07902, cross1 = 0.0737, kl1 = 0.0211, exclusion1 = 0.1035
1.0599852
Epoch: [ 70] [2650/4000] time: 41269.8113, net0_loss = 0.17523, net0_acc = 0.9715, net0_test_acc = 0.9850,     net1_loss = 0.20818, net1_acc = 0.9637, net1_test_acc = 0.9693
Epoch: [ 70] [2650/4000] time: 41269.8114, dice0 = 0.06499, cross0 = 0.0798, kl0 = 0.0065, exclusion0 = 0.0544,     dice1 = 0.07622, cross1 = 0.0959, kl1 = 0.0095, exclusion1 = 0.0626
1.1409724
Epoch: [ 70] [2700/4000] time: 41277.3211, net0_loss = 0.20309, net0_acc = 0.9699, net0_test_acc = 0.9377,     net1_loss = 0.17074, net1_acc = 0.9716, net1_test_acc = 0.9482
Epoch: [ 70] [2700/4000] time: 41277.3211, dice0 = 0.07089, cross0 = 0.0744, kl0 = 0.0240, exclusion0 = 0.0915,     dice1 = 0.06038, cross1 = 0.0816, kl1 = 0.0088, exclusion1 = 0.0488
1.1228774
Epoch: [ 70] [2750/4000] time: 41284.7225, net0_loss = 0.20594, net0_acc = 0.9649, net0_test_acc = 0.9481,     net1_loss = 0.17321, net1_acc = 0.9702, net1_test_acc = 0.9736
Epoch: [ 70] [2750/4000] time: 41284.7225, dice0 = 0.07771, cross0 = 0.0861, kl0 = 0.0109, exclusion0 = 0.0733,     dice1 = 0.06380, cross1 = 0.0834, kl1 = 0.0060, exclusion1 = 0.0460
1.107531
Epoch: [ 70] [2800/4000] time: 41292.1300, net0_loss = 0.06963, net0_acc = 0.9911, net0_test_acc = 0.9110,     net1_loss = 0.17585, net1_acc = 0.9679, net1_test_acc = 0.9751
Epoch: [ 70] [2800/4000] time: 41292.1300, dice0 = 0.02534, cross0 = 0.0217, kl0 = 0.0070, exclusion0 = 0.0381,     dice1 = 0.06653, cross1 = 0.0846, kl1 = 0.0050, exclusion1 = 0.0445
1.1602885
Epoch: [ 70] [2850/4000] time: 41299.5371, net0_loss = 0.11423, net0_acc = 0.9837, net0_test_acc = 0.9453,     net1_loss = 0.09878, net1_acc = 0.9833, net1_test_acc = 0.9319
Epoch: [ 70] [2850/4000] time: 41299.5372, dice0 = 0.03962, cross0 = 0.0402, kl0 = 0.0149, exclusion0 = 0.0539,     dice1 = 0.03730, cross1 = 0.0444, kl1 = 0.0049, exclusion1 = 0.0294
1.1813852
Epoch: [ 70] [2900/4000] time: 41306.9673, net0_loss = 0.07594, net0_acc = 0.9853, net0_test_acc = 0.9232,     net1_loss = 0.14524, net1_acc = 0.9753, net1_test_acc = 0.9309
Epoch: [ 70] [2900/4000] time: 41306.9673, dice0 = 0.02999, cross0 = 0.0364, kl0 = 0.0014, exclusion0 = 0.0178,     dice1 = 0.05406, cross1 = 0.0676, kl1 = 0.0052, exclusion1 = 0.0420
1.095645
Epoch: [ 70] [2950/4000] time: 41314.3850, net0_loss = 0.09940, net0_acc = 0.9834, net0_test_acc = 0.9728,     net1_loss = 0.10230, net1_acc = 0.9851, net1_test_acc = 0.9337
Epoch: [ 70] [2950/4000] time: 41314.3851, dice0 = 0.03954, cross0 = 0.0376, kl0 = 0.0046, exclusion0 = 0.0398,     dice1 = 0.03623, cross1 = 0.0393, kl1 = 0.0091, exclusion1 = 0.0444
1.2883519
Epoch: [ 70] [3000/4000] time: 41321.7967, net0_loss = 0.13441, net0_acc = 0.9801, net0_test_acc = 0.7335,     net1_loss = 0.05705, net1_acc = 0.9915, net1_test_acc = 0.9445
Epoch: [ 70] [3000/4000] time: 41321.7967, dice0 = 0.04497, cross0 = 0.0567, kl0 = 0.0149, exclusion0 = 0.0507,     dice1 = 0.02258, cross1 = 0.0221, kl1 = 0.0019, exclusion1 = 0.0228
1.1814957
Epoch: [ 70] [3050/4000] time: 41329.2109, net0_loss = 0.05992, net0_acc = 0.9911, net0_test_acc = 0.8893,     net1_loss = 0.10464, net1_acc = 0.9832, net1_test_acc = 0.8250
Epoch: [ 70] [3050/4000] time: 41329.2110, dice0 = 0.02446, cross0 = 0.0209, kl0 = 0.0020, exclusion0 = 0.0272,     dice1 = 0.03911, cross1 = 0.0493, kl1 = 0.0029, exclusion1 = 0.0295
1.2863623
Epoch: [ 70] [3100/4000] time: 41336.5659, net0_loss = 0.10686, net0_acc = 0.9822, net0_test_acc = 0.8925,     net1_loss = 0.04255, net1_acc = 0.9945, net1_test_acc = 0.9644
Epoch: [ 70] [3100/4000] time: 41336.5659, dice0 = 0.04053, cross0 = 0.0493, kl0 = 0.0029, exclusion0 = 0.0311,     dice1 = 0.01659, cross1 = 0.0142, kl1 = 0.0030, exclusion1 = 0.0205
1.2161264
Epoch: [ 70] [3150/4000] time: 41343.9824, net0_loss = 0.14686, net0_acc = 0.9730, net0_test_acc = 0.9157,     net1_loss = 0.11290, net1_acc = 0.9831, net1_test_acc = 0.9771
Epoch: [ 70] [3150/4000] time: 41343.9824, dice0 = 0.05657, cross0 = 0.0698, kl0 = 0.0042, exclusion0 = 0.0369,     dice1 = 0.04214, cross1 = 0.0453, kl1 = 0.0069, exclusion1 = 0.0441
1.2321053
Epoch: [ 70] [3200/4000] time: 41351.4491, net0_loss = 0.11352, net0_acc = 0.9808, net0_test_acc = 0.9004,     net1_loss = 0.16304, net1_acc = 0.9744, net1_test_acc = 0.9365
Epoch: [ 70] [3200/4000] time: 41351.4492, dice0 = 0.04213, cross0 = 0.0562, kl0 = 0.0021, exclusion0 = 0.0281,     dice1 = 0.06328, cross1 = 0.0596, kl1 = 0.0100, exclusion1 = 0.0704
1.1019236
Epoch: [ 70] [3250/4000] time: 41358.8221, net0_loss = 0.13577, net0_acc = 0.9780, net0_test_acc = 0.9556,     net1_loss = 0.18686, net1_acc = 0.9690, net1_test_acc = 0.9203
Epoch: [ 70] [3250/4000] time: 41358.8222, dice0 = 0.04970, cross0 = 0.0625, kl0 = 0.0064, exclusion0 = 0.0408,     dice1 = 0.06722, cross1 = 0.0837, kl1 = 0.0115, exclusion1 = 0.0604
1.1183794
Epoch: [ 70] [3300/4000] time: 41366.2310, net0_loss = 0.08729, net0_acc = 0.9872, net0_test_acc = 0.7756,     net1_loss = 0.06423, net1_acc = 0.9898, net1_test_acc = 0.8308
Epoch: [ 70] [3300/4000] time: 41366.2311, dice0 = 0.02961, cross0 = 0.0427, kl0 = 0.0040, exclusion0 = 0.0260,     dice1 = 0.02579, cross1 = 0.0251, kl1 = 0.0023, exclusion1 = 0.0244
1.1649432
Epoch: [ 70] [3350/4000] time: 41373.6405, net0_loss = 0.10814, net0_acc = 0.9834, net0_test_acc = 0.8256,     net1_loss = 0.10350, net1_acc = 0.9829, net1_test_acc = 0.8371
Epoch: [ 70] [3350/4000] time: 41373.6406, dice0 = 0.04391, cross0 = 0.0413, kl0 = 0.0021, exclusion0 = 0.0436,     dice1 = 0.04073, cross1 = 0.0419, kl1 = 0.0040, exclusion1 = 0.0377
1.1241876
Epoch: [ 70] [3400/4000] time: 41380.9889, net0_loss = 0.16634, net0_acc = 0.9716, net0_test_acc = 0.9777,     net1_loss = 0.24437, net1_acc = 0.9580, net1_test_acc = 0.9492
Epoch: [ 70] [3400/4000] time: 41380.9890, dice0 = 0.06159, cross0 = 0.0736, kl0 = 0.0102, exclusion0 = 0.0522,     dice1 = 0.08409, cross1 = 0.1322, kl1 = 0.0059, exclusion1 = 0.0503
1.2786311
Epoch: [ 70] [3450/4000] time: 41388.3476, net0_loss = 0.22297, net0_acc = 0.9618, net0_test_acc = 0.9907,     net1_loss = 0.09344, net1_acc = 0.9855, net1_test_acc = 0.9532
Epoch: [ 70] [3450/4000] time: 41388.3477, dice0 = 0.08642, cross0 = 0.0970, kl0 = 0.0084, exclusion0 = 0.0708,     dice1 = 0.03728, cross1 = 0.0350, kl1 = 0.0038, exclusion1 = 0.0385
1.2044775
Epoch: [ 70] [3500/4000] time: 41395.8603, net0_loss = 0.07476, net0_acc = 0.9876, net0_test_acc = 0.9508,     net1_loss = 0.14042, net1_acc = 0.9783, net1_test_acc = 0.8130
Epoch: [ 70] [3500/4000] time: 41395.8603, dice0 = 0.02831, cross0 = 0.0342, kl0 = 0.0018, exclusion0 = 0.0227,     dice1 = 0.05321, cross1 = 0.0539, kl1 = 0.0119, exclusion1 = 0.0548
1.2560139
Epoch: [ 70] [3550/4000] time: 41403.2654, net0_loss = 0.15848, net0_acc = 0.9745, net0_test_acc = 0.9819,     net1_loss = 0.16328, net1_acc = 0.9721, net1_test_acc = 0.9055
Epoch: [ 70] [3550/4000] time: 41403.2654, dice0 = 0.05654, cross0 = 0.0732, kl0 = 0.0076, exclusion0 = 0.0498,     dice1 = 0.06376, cross1 = 0.0710, kl1 = 0.0053, exclusion1 = 0.0517
1.1103342
Epoch: [ 70] [3600/4000] time: 41410.5396, net0_loss = 0.07744, net0_acc = 0.9889, net0_test_acc = 0.9378,     net1_loss = 0.12365, net1_acc = 0.9795, net1_test_acc = 0.9681
Epoch: [ 70] [3600/4000] time: 41410.5397, dice0 = 0.02987, cross0 = 0.0279, kl0 = 0.0046, exclusion0 = 0.0347,     dice1 = 0.04555, cross1 = 0.0609, kl1 = 0.0022, exclusion1 = 0.0321
1.1648431
Epoch: [ 70] [3650/4000] time: 41418.1236, net0_loss = 0.17140, net0_acc = 0.9739, net0_test_acc = 0.9471,     net1_loss = 0.06589, net1_acc = 0.9908, net1_test_acc = 0.9812
Epoch: [ 70] [3650/4000] time: 41418.1236, dice0 = 0.06266, cross0 = 0.0625, kl0 = 0.0156, exclusion0 = 0.0770,     dice1 = 0.02593, cross1 = 0.0236, kl1 = 0.0040, exclusion1 = 0.0287
1.1005021
Epoch: [ 70] [3700/4000] time: 41425.5738, net0_loss = 0.08092, net0_acc = 0.9897, net0_test_acc = 0.8756,     net1_loss = 0.38168, net1_acc = 0.9386, net1_test_acc = 0.9537
Epoch: [ 70] [3700/4000] time: 41425.5739, dice0 = 0.02754, cross0 = 0.0242, kl0 = 0.0103, exclusion0 = 0.0481,     dice1 = 0.13258, cross1 = 0.1738, kl1 = 0.0221, exclusion1 = 0.1285
1.1538959
Epoch: [ 70] [3750/4000] time: 41432.9566, net0_loss = 0.10289, net0_acc = 0.9837, net0_test_acc = 0.9060,     net1_loss = 0.13223, net1_acc = 0.9790, net1_test_acc = 0.9648
Epoch: [ 70] [3750/4000] time: 41432.9567, dice0 = 0.03796, cross0 = 0.0416, kl0 = 0.0082, exclusion0 = 0.0384,     dice1 = 0.04865, cross1 = 0.0470, kl1 = 0.0124, exclusion1 = 0.0607
1.2032008
Epoch: [ 70] [3800/4000] time: 41440.3530, net0_loss = 0.15962, net0_acc = 0.9735, net0_test_acc = 0.9597,     net1_loss = 0.09656, net1_acc = 0.9831, net1_test_acc = 0.9376
Epoch: [ 70] [3800/4000] time: 41440.3531, dice0 = 0.06087, cross0 = 0.0698, kl0 = 0.0066, exclusion0 = 0.0513,     dice1 = 0.03861, cross1 = 0.0407, kl1 = 0.0028, exclusion1 = 0.0317
1.2130358
Epoch: [ 70] [3850/4000] time: 41447.7298, net0_loss = 0.10201, net0_acc = 0.9851, net0_test_acc = 0.8991,     net1_loss = 0.11503, net1_acc = 0.9812, net1_test_acc = 0.9709
Epoch: [ 70] [3850/4000] time: 41447.7299, dice0 = 0.03820, cross0 = 0.0395, kl0 = 0.0076, exclusion0 = 0.0410,     dice1 = 0.04341, cross1 = 0.0491, kl1 = 0.0062, exclusion1 = 0.0388
1.2244165
Epoch: [ 70] [3900/4000] time: 41455.2223, net0_loss = 0.11184, net0_acc = 0.9829, net0_test_acc = 0.9821,     net1_loss = 0.21298, net1_acc = 0.9661, net1_test_acc = 0.9545
Epoch: [ 70] [3900/4000] time: 41455.2224, dice0 = 0.04312, cross0 = 0.0412, kl0 = 0.0077, exclusion0 = 0.0474,     dice1 = 0.07768, cross1 = 0.0914, kl1 = 0.0145, exclusion1 = 0.0733
1.235533
Epoch: [ 70] [3950/4000] time: 41462.5979, net0_loss = 0.08272, net0_acc = 0.9859, net0_test_acc = 0.7389,     net1_loss = 0.12243, net1_acc = 0.9773, net1_test_acc = 0.9073
Epoch: [ 70] [3950/4000] time: 41462.5980, dice0 = 0.03406, cross0 = 0.0317, kl0 = 0.0021, exclusion0 = 0.0319,     dice1 = 0.04622, cross1 = 0.0598, kl1 = 0.0031, exclusion1 = 0.0297
1.1252352
Epoch: [ 71] [  0/4000] time: 41471.0618, net0_loss = 0.27786, net0_acc = 0.9558, net0_test_acc = 0.9326,     net1_loss = 0.06104, net1_acc = 0.9891, net1_test_acc = 0.9452
Epoch: [ 71] [  0/4000] time: 41471.0619, dice0 = 0.09117, cross0 = 0.1347, kl0 = 0.0214, exclusion0 = 0.0826,     dice1 = 0.02400, cross1 = 0.0275, kl1 = 0.0024, exclusion1 = 0.0166
1.2660477
Epoch: [ 71] [ 50/4000] time: 41478.3880, net0_loss = 0.12036, net0_acc = 0.9815, net0_test_acc = 0.9249,     net1_loss = 0.27756, net1_acc = 0.9568, net1_test_acc = 0.9614
Epoch: [ 71] [ 50/4000] time: 41478.3881, dice0 = 0.04641, cross0 = 0.0475, kl0 = 0.0063, exclusion0 = 0.0466,     dice1 = 0.10840, cross1 = 0.1071, kl1 = 0.0125, exclusion1 = 0.1116
1.1175284
Epoch: [ 71] [100/4000] time: 41485.7749, net0_loss = 0.24223, net0_acc = 0.9680, net0_test_acc = 0.9350,     net1_loss = 0.09014, net1_acc = 0.9848, net1_test_acc = 0.9192
Epoch: [ 71] [100/4000] time: 41485.7750, dice0 = 0.07679, cross0 = 0.1011, kl0 = 0.0301, exclusion0 = 0.0986,     dice1 = 0.03623, cross1 = 0.0362, kl1 = 0.0034, exclusion1 = 0.0320
1.1969892
Epoch: [ 71] [150/4000] time: 41493.2264, net0_loss = 0.12629, net0_acc = 0.9784, net0_test_acc = 0.8123,     net1_loss = 0.13307, net1_acc = 0.9792, net1_test_acc = 0.9442
Epoch: [ 71] [150/4000] time: 41493.2265, dice0 = 0.04929, cross0 = 0.0548, kl0 = 0.0044, exclusion0 = 0.0399,     dice1 = 0.04995, cross1 = 0.0549, kl1 = 0.0079, exclusion1 = 0.0485
1.0866617
Epoch: [ 71] [200/4000] time: 41500.6239, net0_loss = 0.18949, net0_acc = 0.9688, net0_test_acc = 0.9052,     net1_loss = 0.25611, net1_acc = 0.9577, net1_test_acc = 0.9276
Epoch: [ 71] [200/4000] time: 41500.6240, dice0 = 0.07236, cross0 = 0.0775, kl0 = 0.0085, exclusion0 = 0.0708,     dice1 = 0.09032, cross1 = 0.1128, kl1 = 0.0196, exclusion1 = 0.0863
1.1820668
Epoch: [ 71] [250/4000] time: 41508.0180, net0_loss = 0.21425, net0_acc = 0.9633, net0_test_acc = 0.9600,     net1_loss = 0.10879, net1_acc = 0.9836, net1_test_acc = 0.9357
Epoch: [ 71] [250/4000] time: 41508.0181, dice0 = 0.08164, cross0 = 0.0936, kl0 = 0.0090, exclusion0 = 0.0689,     dice1 = 0.03991, cross1 = 0.0494, kl1 = 0.0038, exclusion1 = 0.0352
1.1486148
Epoch: [ 71] [300/4000] time: 41515.3942, net0_loss = 0.12909, net0_acc = 0.9809, net0_test_acc = 0.8346,     net1_loss = 0.17873, net1_acc = 0.9712, net1_test_acc = 0.9337
Epoch: [ 71] [300/4000] time: 41515.3942, dice0 = 0.04802, cross0 = 0.0478, kl0 = 0.0111, exclusion0 = 0.0554,     dice1 = 0.06965, cross1 = 0.0671, kl1 = 0.0095, exclusion1 = 0.0744
1.1572216
Epoch: [ 71] [350/4000] time: 41522.8341, net0_loss = 0.15239, net0_acc = 0.9760, net0_test_acc = 0.9700,     net1_loss = 0.10483, net1_acc = 0.9819, net1_test_acc = 0.9600
Epoch: [ 71] [350/4000] time: 41522.8341, dice0 = 0.05896, cross0 = 0.0577, kl0 = 0.0089, exclusion0 = 0.0626,     dice1 = 0.04008, cross1 = 0.0447, kl1 = 0.0055, exclusion1 = 0.0346
1.168114
Epoch: [ 71] [400/4000] time: 41530.2523, net0_loss = 0.14289, net0_acc = 0.9768, net0_test_acc = 0.9437,     net1_loss = 0.06817, net1_acc = 0.9901, net1_test_acc = 0.9895
Epoch: [ 71] [400/4000] time: 41530.2524, dice0 = 0.05314, cross0 = 0.0622, kl0 = 0.0075, exclusion0 = 0.0475,     dice1 = 0.02458, cross1 = 0.0321, kl1 = 0.0024, exclusion1 = 0.0206
1.204214
Epoch: [ 71] [450/4000] time: 41537.7016, net0_loss = 0.13014, net0_acc = 0.9779, net0_test_acc = 0.9610,     net1_loss = 0.07988, net1_acc = 0.9881, net1_test_acc = 0.9106
Epoch: [ 71] [450/4000] time: 41537.7017, dice0 = 0.05039, cross0 = 0.0506, kl0 = 0.0073, exclusion0 = 0.0511,     dice1 = 0.03077, cross1 = 0.0310, kl1 = 0.0051, exclusion1 = 0.0310
1.2330053
Epoch: [ 71] [500/4000] time: 41545.1140, net0_loss = 0.10173, net0_acc = 0.9848, net0_test_acc = 0.8619,     net1_loss = 0.08443, net1_acc = 0.9860, net1_test_acc = 0.9153
Epoch: [ 71] [500/4000] time: 41545.1141, dice0 = 0.03845, cross0 = 0.0442, kl0 = 0.0036, exclusion0 = 0.0347,     dice1 = 0.03332, cross1 = 0.0342, kl1 = 0.0034, exclusion1 = 0.0305
1.1390167
Epoch: [ 71] [550/4000] time: 41552.5053, net0_loss = 0.18338, net0_acc = 0.9692, net0_test_acc = 0.8242,     net1_loss = 0.08681, net1_acc = 0.9862, net1_test_acc = 0.9729
Epoch: [ 71] [550/4000] time: 41552.5054, dice0 = 0.06943, cross0 = 0.0779, kl0 = 0.0100, exclusion0 = 0.0621,     dice1 = 0.03383, cross1 = 0.0317, kl1 = 0.0051, exclusion1 = 0.0374
1.1773386
Epoch: [ 71] [600/4000] time: 41559.8969, net0_loss = 0.09981, net0_acc = 0.9834, net0_test_acc = 0.9816,     net1_loss = 0.04984, net1_acc = 0.9934, net1_test_acc = 0.8690
Epoch: [ 71] [600/4000] time: 41559.8970, dice0 = 0.04066, cross0 = 0.0385, kl0 = 0.0029, exclusion0 = 0.0385,     dice1 = 0.01905, cross1 = 0.0193, kl1 = 0.0021, exclusion1 = 0.0208
1.0733157
Epoch: [ 71] [650/4000] time: 41567.1823, net0_loss = 0.16916, net0_acc = 0.9708, net0_test_acc = 0.9402,     net1_loss = 0.09981, net1_acc = 0.9837, net1_test_acc = 0.9597
Epoch: [ 71] [650/4000] time: 41567.1824, dice0 = 0.06367, cross0 = 0.0761, kl0 = 0.0084, exclusion0 = 0.0505,     dice1 = 0.03754, cross1 = 0.0396, kl1 = 0.0079, exclusion1 = 0.0374
1.2547524
Epoch: [ 71] [700/4000] time: 41574.7168, net0_loss = 0.20538, net0_acc = 0.9696, net0_test_acc = 0.8934,     net1_loss = 0.09233, net1_acc = 0.9859, net1_test_acc = 0.9024
Epoch: [ 71] [700/4000] time: 41574.7169, dice0 = 0.07614, cross0 = 0.0767, kl0 = 0.0147, exclusion0 = 0.0903,     dice1 = 0.03546, cross1 = 0.0377, kl1 = 0.0044, exclusion1 = 0.0338
1.1445591
Epoch: [ 71] [750/4000] time: 41582.1839, net0_loss = 0.14268, net0_acc = 0.9765, net0_test_acc = 0.9581,     net1_loss = 0.12509, net1_acc = 0.9813, net1_test_acc = 0.8949
Epoch: [ 71] [750/4000] time: 41582.1839, dice0 = 0.05581, cross0 = 0.0577, kl0 = 0.0054, exclusion0 = 0.0530,     dice1 = 0.04471, cross1 = 0.0529, kl1 = 0.0087, exclusion1 = 0.0462
1.1382256
Epoch: [ 71] [800/4000] time: 41589.6171, net0_loss = 0.11121, net0_acc = 0.9836, net0_test_acc = 0.9700,     net1_loss = 0.05430, net1_acc = 0.9919, net1_test_acc = 0.9537
Epoch: [ 71] [800/4000] time: 41589.6172, dice0 = 0.04271, cross0 = 0.0371, kl0 = 0.0082, exclusion0 = 0.0547,     dice1 = 0.02095, cross1 = 0.0208, kl1 = 0.0027, exclusion1 = 0.0225
1.1165835
Epoch: [ 71] [850/4000] time: 41597.0157, net0_loss = 0.12885, net0_acc = 0.9799, net0_test_acc = 0.9403,     net1_loss = 0.06002, net1_acc = 0.9894, net1_test_acc = 0.9482
Epoch: [ 71] [850/4000] time: 41597.0158, dice0 = 0.04952, cross0 = 0.0489, kl0 = 0.0078, exclusion0 = 0.0530,     dice1 = 0.02481, cross1 = 0.0241, kl1 = 0.0012, exclusion1 = 0.0209
1.212813
Epoch: [ 71] [900/4000] time: 41604.3491, net0_loss = 0.07691, net0_acc = 0.9886, net0_test_acc = 0.9401,     net1_loss = 0.14808, net1_acc = 0.9758, net1_test_acc = 0.7801
Epoch: [ 71] [900/4000] time: 41604.3491, dice0 = 0.02996, cross0 = 0.0301, kl0 = 0.0036, exclusion0 = 0.0301,     dice1 = 0.05266, cross1 = 0.0665, kl1 = 0.0104, exclusion1 = 0.0475
1.1847178
Epoch: [ 71] [950/4000] time: 41611.8099, net0_loss = 0.16412, net0_acc = 0.9715, net0_test_acc = 0.8585,     net1_loss = 0.34601, net1_acc = 0.9399, net1_test_acc = 0.8974
Epoch: [ 71] [950/4000] time: 41611.8099, dice0 = 0.06249, cross0 = 0.0651, kl0 = 0.0095, exclusion0 = 0.0636,     dice1 = 0.12241, cross1 = 0.1628, kl1 = 0.0179, exclusion1 = 0.1038
1.1567289
Epoch: [ 71] [1000/4000] time: 41619.2257, net0_loss = 0.11574, net0_acc = 0.9816, net0_test_acc = 0.9167,     net1_loss = 0.08076, net1_acc = 0.9869, net1_test_acc = 0.7948
Epoch: [ 71] [1000/4000] time: 41619.2258, dice0 = 0.04534, cross0 = 0.0438, kl0 = 0.0059, exclusion0 = 0.0473,     dice1 = 0.02850, cross1 = 0.0421, kl1 = 0.0023, exclusion1 = 0.0179
1.1114026
Epoch: [ 71] [1050/4000] time: 41626.6012, net0_loss = 0.10280, net0_acc = 0.9842, net0_test_acc = 0.9414,     net1_loss = 0.34352, net1_acc = 0.9441, net1_test_acc = 0.9386
Epoch: [ 71] [1050/4000] time: 41626.6013, dice0 = 0.03834, cross0 = 0.0430, kl0 = 0.0051, exclusion0 = 0.0379,     dice1 = 0.11826, cross1 = 0.1745, kl1 = 0.0134, exclusion1 = 0.0881
1.1573343
Epoch: [ 71] [1100/4000] time: 41634.0418, net0_loss = 0.15318, net0_acc = 0.9758, net0_test_acc = 0.9164,     net1_loss = 0.15335, net1_acc = 0.9741, net1_test_acc = 0.9474
Epoch: [ 71] [1100/4000] time: 41634.0419, dice0 = 0.05537, cross0 = 0.0713, kl0 = 0.0061, exclusion0 = 0.0469,     dice1 = 0.06035, cross1 = 0.0622, kl1 = 0.0074, exclusion1 = 0.0542
1.1827303
Epoch: [ 71] [1150/4000] time: 41641.4531, net0_loss = 0.16797, net0_acc = 0.9727, net0_test_acc = 0.9723,     net1_loss = 0.12297, net1_acc = 0.9809, net1_test_acc = 0.9375
Epoch: [ 71] [1150/4000] time: 41641.4533, dice0 = 0.05967, cross0 = 0.0800, kl0 = 0.0091, exclusion0 = 0.0476,     dice1 = 0.04655, cross1 = 0.0469, kl1 = 0.0075, exclusion1 = 0.0515
1.1056286
Epoch: [ 71] [1200/4000] time: 41648.7979, net0_loss = 0.07079, net0_acc = 0.9879, net0_test_acc = 0.9203,     net1_loss = 0.16353, net1_acc = 0.9724, net1_test_acc = 0.8603
Epoch: [ 71] [1200/4000] time: 41648.7980, dice0 = 0.02841, cross0 = 0.0270, kl0 = 0.0030, exclusion0 = 0.0277,     dice1 = 0.06141, cross1 = 0.0787, kl1 = 0.0037, exclusion1 = 0.0432
1.3568299
Epoch: [ 71] [1250/4000] time: 41656.2289, net0_loss = 0.18936, net0_acc = 0.9693, net0_test_acc = 0.9569,     net1_loss = 0.13260, net1_acc = 0.9798, net1_test_acc = 0.9809
Epoch: [ 71] [1250/4000] time: 41656.2289, dice0 = 0.07093, cross0 = 0.0775, kl0 = 0.0119, exclusion0 = 0.0699,     dice1 = 0.04996, cross1 = 0.0470, kl1 = 0.0106, exclusion1 = 0.0607
1.1632302
Epoch: [ 71] [1300/4000] time: 41663.6192, net0_loss = 0.06484, net0_acc = 0.9895, net0_test_acc = 0.8756,     net1_loss = 0.12533, net1_acc = 0.9812, net1_test_acc = 0.8385
Epoch: [ 71] [1300/4000] time: 41663.6193, dice0 = 0.02618, cross0 = 0.0257, kl0 = 0.0020, exclusion0 = 0.0239,     dice1 = 0.04569, cross1 = 0.0486, kl1 = 0.0098, exclusion1 = 0.0522
1.1593492
Epoch: [ 71] [1350/4000] time: 41671.0478, net0_loss = 0.08491, net0_acc = 0.9878, net0_test_acc = 0.9280,     net1_loss = 0.18584, net1_acc = 0.9692, net1_test_acc = 0.8985
Epoch: [ 71] [1350/4000] time: 41671.0479, dice0 = 0.03411, cross0 = 0.0284, kl0 = 0.0053, exclusion0 = 0.0394,     dice1 = 0.06740, cross1 = 0.0747, kl1 = 0.0138, exclusion1 = 0.0737
1.0935467
Epoch: [ 71] [1400/4000] time: 41678.4371, net0_loss = 0.19482, net0_acc = 0.9669, net0_test_acc = 0.9460,     net1_loss = 0.28289, net1_acc = 0.9571, net1_test_acc = 0.9485
Epoch: [ 71] [1400/4000] time: 41678.4372, dice0 = 0.07199, cross0 = 0.0901, kl0 = 0.0089, exclusion0 = 0.0566,     dice1 = 0.09861, cross1 = 0.0995, kl1 = 0.0338, exclusion1 = 0.1357
1.2407395
Epoch: [ 71] [1450/4000] time: 41685.8723, net0_loss = 0.07296, net0_acc = 0.9885, net0_test_acc = 0.9189,     net1_loss = 0.11409, net1_acc = 0.9803, net1_test_acc = 0.9903
Epoch: [ 71] [1450/4000] time: 41685.8725, dice0 = 0.02775, cross0 = 0.0307, kl0 = 0.0032, exclusion0 = 0.0257,     dice1 = 0.04405, cross1 = 0.0464, kl1 = 0.0066, exclusion1 = 0.0407
1.1988717
Epoch: [ 71] [1500/4000] time: 41693.2861, net0_loss = 0.17146, net0_acc = 0.9710, net0_test_acc = 0.9494,     net1_loss = 0.10322, net1_acc = 0.9841, net1_test_acc = 0.7975
Epoch: [ 71] [1500/4000] time: 41693.2862, dice0 = 0.06431, cross0 = 0.0765, kl0 = 0.0064, exclusion0 = 0.0549,     dice1 = 0.04017, cross1 = 0.0419, kl1 = 0.0044, exclusion1 = 0.0378
1.134681
Epoch: [ 71] [1550/4000] time: 41700.7088, net0_loss = 0.14501, net0_acc = 0.9747, net0_test_acc = 0.8764,     net1_loss = 0.15363, net1_acc = 0.9774, net1_test_acc = 0.9825
Epoch: [ 71] [1550/4000] time: 41700.7089, dice0 = 0.05121, cross0 = 0.0795, kl0 = 0.0029, exclusion0 = 0.0258,     dice1 = 0.05943, cross1 = 0.0565, kl1 = 0.0078, exclusion1 = 0.0676
1.2140133
Epoch: [ 71] [1600/4000] time: 41708.0941, net0_loss = 0.15366, net0_acc = 0.9730, net0_test_acc = 0.9635,     net1_loss = 0.07562, net1_acc = 0.9895, net1_test_acc = 0.9167
Epoch: [ 71] [1600/4000] time: 41708.0942, dice0 = 0.05693, cross0 = 0.0714, kl0 = 0.0068, exclusion0 = 0.0439,     dice1 = 0.02689, cross1 = 0.0343, kl1 = 0.0035, exclusion1 = 0.0254
1.1268666
Epoch: [ 71] [1650/4000] time: 41715.4340, net0_loss = 0.10675, net0_acc = 0.9830, net0_test_acc = 0.8710,     net1_loss = 0.15048, net1_acc = 0.9724, net1_test_acc = 0.9073
Epoch: [ 71] [1650/4000] time: 41715.4340, dice0 = 0.04118, cross0 = 0.0454, kl0 = 0.0042, exclusion0 = 0.0362,     dice1 = 0.05839, cross1 = 0.0695, kl1 = 0.0035, exclusion1 = 0.0417
1.1115502
Epoch: [ 71] [1700/4000] time: 41722.8652, net0_loss = 0.12829, net0_acc = 0.9774, net0_test_acc = 0.9076,     net1_loss = 0.13470, net1_acc = 0.9784, net1_test_acc = 0.8117
Epoch: [ 71] [1700/4000] time: 41722.8652, dice0 = 0.04791, cross0 = 0.0606, kl0 = 0.0041, exclusion0 = 0.0355,     dice1 = 0.05141, cross1 = 0.0614, kl1 = 0.0046, exclusion1 = 0.0392
1.1320156
Epoch: [ 71] [1750/4000] time: 41730.3250, net0_loss = 0.12360, net0_acc = 0.9824, net0_test_acc = 0.9106,     net1_loss = 0.17655, net1_acc = 0.9723, net1_test_acc = 0.9319
Epoch: [ 71] [1750/4000] time: 41730.3251, dice0 = 0.05009, cross0 = 0.0442, kl0 = 0.0045, exclusion0 = 0.0540,     dice1 = 0.06582, cross1 = 0.0675, kl1 = 0.0122, exclusion1 = 0.0742
1.1332908
Epoch: [ 71] [1800/4000] time: 41737.7446, net0_loss = 0.17675, net0_acc = 0.9718, net0_test_acc = 0.9243,     net1_loss = 0.20302, net1_acc = 0.9666, net1_test_acc = 0.9265
Epoch: [ 71] [1800/4000] time: 41737.7446, dice0 = 0.06362, cross0 = 0.0662, kl0 = 0.0178, exclusion0 = 0.0760,     dice1 = 0.07812, cross1 = 0.0823, kl1 = 0.0082, exclusion1 = 0.0770
1.1021259
Epoch: [ 71] [1850/4000] time: 41745.0826, net0_loss = 0.04862, net0_acc = 0.9934, net0_test_acc = 0.8864,     net1_loss = 0.26609, net1_acc = 0.9502, net1_test_acc = 0.9345
Epoch: [ 71] [1850/4000] time: 41745.0826, dice0 = 0.01686, cross0 = 0.0206, kl0 = 0.0028, exclusion0 = 0.0194,     dice1 = 0.09710, cross1 = 0.1335, kl1 = 0.0114, exclusion1 = 0.0597
1.1767311
Epoch: [ 71] [1900/4000] time: 41752.5128, net0_loss = 0.20696, net0_acc = 0.9641, net0_test_acc = 0.9308,     net1_loss = 0.15464, net1_acc = 0.9769, net1_test_acc = 0.9378
Epoch: [ 71] [1900/4000] time: 41752.5129, dice0 = 0.07504, cross0 = 0.0968, kl0 = 0.0102, exclusion0 = 0.0599,     dice1 = 0.05860, cross1 = 0.0591, kl1 = 0.0086, exclusion1 = 0.0653
1.0735531
Epoch: [ 71] [1950/4000] time: 41760.0015, net0_loss = 0.08385, net0_acc = 0.9872, net0_test_acc = 0.9817,     net1_loss = 0.16670, net1_acc = 0.9717, net1_test_acc = 0.9889
Epoch: [ 71] [1950/4000] time: 41760.0016, dice0 = 0.03260, cross0 = 0.0320, kl0 = 0.0047, exclusion0 = 0.0337,     dice1 = 0.05950, cross1 = 0.0894, kl1 = 0.0029, exclusion1 = 0.0327
1.196595
Epoch: [ 71] [2000/4000] time: 41767.4029, net0_loss = 0.21300, net0_acc = 0.9623, net0_test_acc = 0.9645,     net1_loss = 0.07530, net1_acc = 0.9868, net1_test_acc = 0.9590
Epoch: [ 71] [2000/4000] time: 41767.4029, dice0 = 0.08120, cross0 = 0.1019, kl0 = 0.0041, exclusion0 = 0.0557,     dice1 = 0.02946, cross1 = 0.0329, kl1 = 0.0030, exclusion1 = 0.0229
1.177219
Epoch: [ 71] [2050/4000] time: 41774.8106, net0_loss = 0.05322, net0_acc = 0.9933, net0_test_acc = 0.9754,     net1_loss = 0.34779, net1_acc = 0.9453, net1_test_acc = 0.9196
Epoch: [ 71] [2050/4000] time: 41774.8106, dice0 = 0.02146, cross0 = 0.0166, kl0 = 0.0031, exclusion0 = 0.0272,     dice1 = 0.12370, cross1 = 0.1398, kl1 = 0.0293, exclusion1 = 0.1393
1.1823549
Epoch: [ 71] [2100/4000] time: 41782.2432, net0_loss = 0.21328, net0_acc = 0.9669, net0_test_acc = 0.8914,     net1_loss = 0.12249, net1_acc = 0.9803, net1_test_acc = 0.9883
Epoch: [ 71] [2100/4000] time: 41782.2433, dice0 = 0.07389, cross0 = 0.1027, kl0 = 0.0104, exclusion0 = 0.0630,     dice1 = 0.04460, cross1 = 0.0650, kl1 = 0.0020, exclusion1 = 0.0238
1.1457098
Epoch: [ 71] [2150/4000] time: 41789.6411, net0_loss = 0.20187, net0_acc = 0.9676, net0_test_acc = 0.9181,     net1_loss = 0.22378, net1_acc = 0.9605, net1_test_acc = 0.9865
Epoch: [ 71] [2150/4000] time: 41789.6411, dice0 = 0.07657, cross0 = 0.0810, kl0 = 0.0119, exclusion0 = 0.0767,     dice1 = 0.08166, cross1 = 0.1061, kl1 = 0.0101, exclusion1 = 0.0618
1.1310443
Epoch: [ 71] [2200/4000] time: 41797.0057, net0_loss = 0.10865, net0_acc = 0.9827, net0_test_acc = 0.9018,     net1_loss = 0.11765, net1_acc = 0.9793, net1_test_acc = 0.9128
Epoch: [ 71] [2200/4000] time: 41797.0057, dice0 = 0.04207, cross0 = 0.0457, kl0 = 0.0040, exclusion0 = 0.0378,     dice1 = 0.04395, cross1 = 0.0598, kl1 = 0.0024, exclusion1 = 0.0254
1.0703019
Epoch: [ 71] [2250/4000] time: 41804.4614, net0_loss = 0.10023, net0_acc = 0.9841, net0_test_acc = 0.9595,     net1_loss = 0.13975, net1_acc = 0.9788, net1_test_acc = 0.9593
Epoch: [ 71] [2250/4000] time: 41804.4614, dice0 = 0.04026, cross0 = 0.0393, kl0 = 0.0037, exclusion0 = 0.0376,     dice1 = 0.05020, cross1 = 0.0558, kl1 = 0.0138, exclusion1 = 0.0537
1.1231862
Epoch: [ 71] [2300/4000] time: 41811.8181, net0_loss = 0.11701, net0_acc = 0.9802, net0_test_acc = 0.7412,     net1_loss = 0.14583, net1_acc = 0.9765, net1_test_acc = 0.8985
Epoch: [ 71] [2300/4000] time: 41811.8181, dice0 = 0.04403, cross0 = 0.0526, kl0 = 0.0041, exclusion0 = 0.0367,     dice1 = 0.05713, cross1 = 0.0583, kl1 = 0.0074, exclusion1 = 0.0533
1.0899675
Epoch: [ 71] [2350/4000] time: 41819.2935, net0_loss = 0.07029, net0_acc = 0.9889, net0_test_acc = 0.8378,     net1_loss = 0.21485, net1_acc = 0.9662, net1_test_acc = 0.8025
Epoch: [ 71] [2350/4000] time: 41819.2936, dice0 = 0.02797, cross0 = 0.0276, kl0 = 0.0024, exclusion0 = 0.0270,     dice1 = 0.08145, cross1 = 0.0831, kl1 = 0.0144, exclusion1 = 0.0863
1.1915236
Epoch: [ 71] [2400/4000] time: 41826.7087, net0_loss = 0.14750, net0_acc = 0.9750, net0_test_acc = 0.9819,     net1_loss = 0.03766, net1_acc = 0.9951, net1_test_acc = 0.9677
Epoch: [ 71] [2400/4000] time: 41826.7088, dice0 = 0.05468, cross0 = 0.0664, kl0 = 0.0068, exclusion0 = 0.0459,     dice1 = 0.01466, cross1 = 0.0136, kl1 = 0.0021, exclusion1 = 0.0166
1.320118
Epoch: [ 71] [2450/4000] time: 41834.1131, net0_loss = 0.51557, net0_acc = 0.9107, net0_test_acc = 0.9385,     net1_loss = 0.15711, net1_acc = 0.9734, net1_test_acc = 0.9491
Epoch: [ 71] [2450/4000] time: 41834.1132, dice0 = 0.16553, cross0 = 0.2720, kl0 = 0.0323, exclusion0 = 0.1238,     dice1 = 0.06116, cross1 = 0.0666, kl1 = 0.0059, exclusion1 = 0.0527
1.0592984
Epoch: [ 71] [2500/4000] time: 41841.4930, net0_loss = 0.10235, net0_acc = 0.9835, net0_test_acc = 0.9517,     net1_loss = 0.14758, net1_acc = 0.9781, net1_test_acc = 0.9693
Epoch: [ 71] [2500/4000] time: 41841.4930, dice0 = 0.03941, cross0 = 0.0431, kl0 = 0.0039, exclusion0 = 0.0357,     dice1 = 0.04930, cross1 = 0.0635, kl1 = 0.0143, exclusion1 = 0.0553
1.0151519
Epoch: [ 71] [2550/4000] time: 41848.8901, net0_loss = 0.15940, net0_acc = 0.9713, net0_test_acc = 0.8967,     net1_loss = 0.04686, net1_acc = 0.9929, net1_test_acc = 0.9722
Epoch: [ 71] [2550/4000] time: 41848.8901, dice0 = 0.06043, cross0 = 0.0762, kl0 = 0.0048, exclusion0 = 0.0406,     dice1 = 0.01882, cross1 = 0.0168, kl1 = 0.0023, exclusion1 = 0.0202
1.3539041
Epoch: [ 71] [2600/4000] time: 41856.3041, net0_loss = 0.10105, net0_acc = 0.9843, net0_test_acc = 0.9475,     net1_loss = 0.08796, net1_acc = 0.9863, net1_test_acc = 0.9327
Epoch: [ 71] [2600/4000] time: 41856.3042, dice0 = 0.03882, cross0 = 0.0419, kl0 = 0.0048, exclusion0 = 0.0359,     dice1 = 0.03478, cross1 = 0.0340, kl1 = 0.0035, exclusion1 = 0.0349
1.1806784
Epoch: [ 71] [2650/4000] time: 41863.6852, net0_loss = 0.09805, net0_acc = 0.9851, net0_test_acc = 0.9509,     net1_loss = 0.31384, net1_acc = 0.9509, net1_test_acc = 0.9157
Epoch: [ 71] [2650/4000] time: 41863.6853, dice0 = 0.03665, cross0 = 0.0466, kl0 = 0.0021, exclusion0 = 0.0274,     dice1 = 0.10447, cross1 = 0.1424, kl1 = 0.0267, exclusion1 = 0.1073
1.1324868
Epoch: [ 71] [2700/4000] time: 41871.0732, net0_loss = 0.25764, net0_acc = 0.9586, net0_test_acc = 0.9739,     net1_loss = 0.10794, net1_acc = 0.9819, net1_test_acc = 0.9337
Epoch: [ 71] [2700/4000] time: 41871.0733, dice0 = 0.09459, cross0 = 0.1051, kl0 = 0.0203, exclusion0 = 0.0955,     dice1 = 0.03953, cross1 = 0.0531, kl1 = 0.0020, exclusion1 = 0.0285
1.1039454
Epoch: [ 71] [2750/4000] time: 41878.4701, net0_loss = 0.26488, net0_acc = 0.9607, net0_test_acc = 0.7601,     net1_loss = 0.07737, net1_acc = 0.9889, net1_test_acc = 0.9433
Epoch: [ 71] [2750/4000] time: 41878.4702, dice0 = 0.09848, cross0 = 0.0998, kl0 = 0.0193, exclusion0 = 0.1139,     dice1 = 0.02963, cross1 = 0.0277, kl1 = 0.0049, exclusion1 = 0.0351
1.2200224
Epoch: [ 71] [2800/4000] time: 41885.8856, net0_loss = 0.16926, net0_acc = 0.9744, net0_test_acc = 0.8978,     net1_loss = 0.20842, net1_acc = 0.9666, net1_test_acc = 0.8279
Epoch: [ 71] [2800/4000] time: 41885.8857, dice0 = 0.06716, cross0 = 0.0610, kl0 = 0.0082, exclusion0 = 0.0741,     dice1 = 0.06942, cross1 = 0.1073, kl1 = 0.0122, exclusion1 = 0.0511
1.215228
Epoch: [ 71] [2850/4000] time: 41893.2729, net0_loss = 0.13955, net0_acc = 0.9765, net0_test_acc = 0.8977,     net1_loss = 0.03924, net1_acc = 0.9938, net1_test_acc = 0.9576
Epoch: [ 71] [2850/4000] time: 41893.2730, dice0 = 0.05447, cross0 = 0.0598, kl0 = 0.0044, exclusion0 = 0.0462,     dice1 = 0.01575, cross1 = 0.0145, kl1 = 0.0019, exclusion1 = 0.0160
1.2420874
Epoch: [ 71] [2900/4000] time: 41900.6121, net0_loss = 0.15998, net0_acc = 0.9730, net0_test_acc = 0.9088,     net1_loss = 0.13447, net1_acc = 0.9785, net1_test_acc = 0.9785
Epoch: [ 71] [2900/4000] time: 41900.6122, dice0 = 0.06163, cross0 = 0.0650, kl0 = 0.0080, exclusion0 = 0.0586,     dice1 = 0.04830, cross1 = 0.0575, kl1 = 0.0101, exclusion1 = 0.0471
1.1524414
Epoch: [ 71] [2950/4000] time: 41908.0736, net0_loss = 0.10433, net0_acc = 0.9847, net0_test_acc = 0.9088,     net1_loss = 0.10560, net1_acc = 0.9846, net1_test_acc = 0.9305
Epoch: [ 71] [2950/4000] time: 41908.0736, dice0 = 0.04073, cross0 = 0.0384, kl0 = 0.0052, exclusion0 = 0.0451,     dice1 = 0.03575, cross1 = 0.0388, kl1 = 0.0152, exclusion1 = 0.0469
1.4325488
Epoch: [ 71] [3000/4000] time: 41915.4384, net0_loss = 0.18664, net0_acc = 0.9712, net0_test_acc = 0.9562,     net1_loss = 0.08073, net1_acc = 0.9885, net1_test_acc = 0.9349
Epoch: [ 71] [3000/4000] time: 41915.4385, dice0 = 0.06262, cross0 = 0.0781, kl0 = 0.0222, exclusion0 = 0.0696,     dice1 = 0.03231, cross1 = 0.0273, kl1 = 0.0049, exclusion1 = 0.0374
1.2653583
Epoch: [ 71] [3050/4000] time: 41922.8199, net0_loss = 0.18408, net0_acc = 0.9679, net0_test_acc = 0.7602,     net1_loss = 0.16901, net1_acc = 0.9720, net1_test_acc = 0.8103
Epoch: [ 71] [3050/4000] time: 41922.8200, dice0 = 0.07004, cross0 = 0.0767, kl0 = 0.0089, exclusion0 = 0.0658,     dice1 = 0.06662, cross1 = 0.0686, kl1 = 0.0069, exclusion1 = 0.0606
1.0782341
Epoch: [ 71] [3100/4000] time: 41930.2006, net0_loss = 0.07577, net0_acc = 0.9892, net0_test_acc = 0.8110,     net1_loss = 0.14681, net1_acc = 0.9780, net1_test_acc = 0.8291
Epoch: [ 71] [3100/4000] time: 41930.2007, dice0 = 0.03075, cross0 = 0.0255, kl0 = 0.0037, exclusion0 = 0.0354,     dice1 = 0.05495, cross1 = 0.0510, kl1 = 0.0122, exclusion1 = 0.0695
1.069072
Epoch: [ 71] [3150/4000] time: 41937.6811, net0_loss = 0.08159, net0_acc = 0.9898, net0_test_acc = 0.9759,     net1_loss = 0.13619, net1_acc = 0.9783, net1_test_acc = 0.9456
Epoch: [ 71] [3150/4000] time: 41937.6811, dice0 = 0.03120, cross0 = 0.0244, kl0 = 0.0079, exclusion0 = 0.0440,     dice1 = 0.05188, cross1 = 0.0584, kl1 = 0.0061, exclusion1 = 0.0457
1.1742804
Epoch: [ 71] [3200/4000] time: 41945.1143, net0_loss = 0.19795, net0_acc = 0.9677, net0_test_acc = 0.9894,     net1_loss = 0.25980, net1_acc = 0.9601, net1_test_acc = 0.9517
Epoch: [ 71] [3200/4000] time: 41945.1144, dice0 = 0.07697, cross0 = 0.0799, kl0 = 0.0076, exclusion0 = 0.0745,     dice1 = 0.09438, cross1 = 0.1016, kl1 = 0.0197, exclusion1 = 0.1080
1.0688338
Epoch: [ 71] [3250/4000] time: 41952.4333, net0_loss = 0.16046, net0_acc = 0.9789, net0_test_acc = 0.9504,     net1_loss = 0.08005, net1_acc = 0.9863, net1_test_acc = 0.8339
Epoch: [ 71] [3250/4000] time: 41952.4333, dice0 = 0.06363, cross0 = 0.0524, kl0 = 0.0079, exclusion0 = 0.0809,     dice1 = 0.03231, cross1 = 0.0322, kl1 = 0.0031, exclusion1 = 0.0280
1.200627
Epoch: [ 71] [3300/4000] time: 41959.9269, net0_loss = 0.09215, net0_acc = 0.9846, net0_test_acc = 0.9817,     net1_loss = 0.17615, net1_acc = 0.9727, net1_test_acc = 0.8757
Epoch: [ 71] [3300/4000] time: 41959.9270, dice0 = 0.03733, cross0 = 0.0375, kl0 = 0.0028, exclusion0 = 0.0318,     dice1 = 0.06214, cross1 = 0.0786, kl1 = 0.0124, exclusion1 = 0.0584
1.1990077
Epoch: [ 71] [3350/4000] time: 41967.2115, net0_loss = 0.08962, net0_acc = 0.9870, net0_test_acc = 0.9443,     net1_loss = 0.14385, net1_acc = 0.9767, net1_test_acc = 0.9651
Epoch: [ 71] [3350/4000] time: 41967.2116, dice0 = 0.03498, cross0 = 0.0301, kl0 = 0.0071, exclusion0 = 0.0419,     dice1 = 0.05453, cross1 = 0.0578, kl1 = 0.0086, exclusion1 = 0.0544
1.2017826
Epoch: [ 71] [3400/4000] time: 41974.7170, net0_loss = 0.13354, net0_acc = 0.9798, net0_test_acc = 0.9503,     net1_loss = 0.09195, net1_acc = 0.9877, net1_test_acc = 0.9825
Epoch: [ 71] [3400/4000] time: 41974.7170, dice0 = 0.05013, cross0 = 0.0547, kl0 = 0.0098, exclusion0 = 0.0476,     dice1 = 0.03566, cross1 = 0.0288, kl1 = 0.0060, exclusion1 = 0.0490
1.1220461
Epoch: [ 71] [3450/4000] time: 41982.1754, net0_loss = 0.12693, net0_acc = 0.9812, net0_test_acc = 0.8798,     net1_loss = 0.15664, net1_acc = 0.9728, net1_test_acc = 0.9539
Epoch: [ 71] [3450/4000] time: 41982.1755, dice0 = 0.04706, cross0 = 0.0489, kl0 = 0.0100, exclusion0 = 0.0519,     dice1 = 0.06178, cross1 = 0.0640, kl1 = 0.0069, exclusion1 = 0.0549
1.1758822
Epoch: [ 71] [3500/4000] time: 41989.5689, net0_loss = 0.08404, net0_acc = 0.9870, net0_test_acc = 0.8940,     net1_loss = 0.23008, net1_acc = 0.9629, net1_test_acc = 0.9619
Epoch: [ 71] [3500/4000] time: 41989.5689, dice0 = 0.03279, cross0 = 0.0348, kl0 = 0.0031, exclusion0 = 0.0299,     dice1 = 0.08613, cross1 = 0.0974, kl1 = 0.0103, exclusion1 = 0.0828
1.0094322
Epoch: [ 71] [3550/4000] time: 41996.9986, net0_loss = 0.17701, net0_acc = 0.9683, net0_test_acc = 0.9639,     net1_loss = 0.07779, net1_acc = 0.9895, net1_test_acc = 0.9277
Epoch: [ 71] [3550/4000] time: 41996.9987, dice0 = 0.06605, cross0 = 0.0840, kl0 = 0.0059, exclusion0 = 0.0480,     dice1 = 0.02956, cross1 = 0.0262, kl1 = 0.0055, exclusion1 = 0.0385
1.1511803
Epoch: [ 71] [3600/4000] time: 42004.3311, net0_loss = 0.07076, net0_acc = 0.9887, net0_test_acc = 0.9097,     net1_loss = 0.11431, net1_acc = 0.9828, net1_test_acc = 0.9673
Epoch: [ 71] [3600/4000] time: 42004.3311, dice0 = 0.02821, cross0 = 0.0270, kl0 = 0.0027, exclusion0 = 0.0283,     dice1 = 0.04424, cross1 = 0.0389, kl1 = 0.0081, exclusion1 = 0.0543
1.0801454
Epoch: [ 71] [3650/4000] time: 42011.7893, net0_loss = 0.25451, net0_acc = 0.9612, net0_test_acc = 0.9802,     net1_loss = 0.17605, net1_acc = 0.9708, net1_test_acc = 0.9550
Epoch: [ 71] [3650/4000] time: 42011.7894, dice0 = 0.08823, cross0 = 0.0992, kl0 = 0.0262, exclusion0 = 0.1079,     dice1 = 0.06407, cross1 = 0.0820, kl1 = 0.0082, exclusion1 = 0.0517
1.2092471
Epoch: [ 71] [3700/4000] time: 42019.1119, net0_loss = 0.10512, net0_acc = 0.9831, net0_test_acc = 0.7336,     net1_loss = 0.07448, net1_acc = 0.9887, net1_test_acc = 0.9189
Epoch: [ 71] [3700/4000] time: 42019.1120, dice0 = 0.04052, cross0 = 0.0399, kl0 = 0.0065, exclusion0 = 0.0429,     dice1 = 0.02800, cross1 = 0.0315, kl1 = 0.0030, exclusion1 = 0.0270
1.062507
Epoch: [ 71] [3750/4000] time: 42026.5824, net0_loss = 0.18199, net0_acc = 0.9675, net0_test_acc = 0.9238,     net1_loss = 0.08107, net1_acc = 0.9893, net1_test_acc = 0.9363
Epoch: [ 71] [3750/4000] time: 42026.5824, dice0 = 0.06570, cross0 = 0.0948, kl0 = 0.0053, exclusion0 = 0.0377,     dice1 = 0.03099, cross1 = 0.0257, kl1 = 0.0067, exclusion1 = 0.0421
1.1210343
Epoch: [ 71] [3800/4000] time: 42033.9741, net0_loss = 0.16850, net0_acc = 0.9756, net0_test_acc = 0.9315,     net1_loss = 0.06225, net1_acc = 0.9924, net1_test_acc = 0.9585
Epoch: [ 71] [3800/4000] time: 42033.9741, dice0 = 0.05966, cross0 = 0.0715, kl0 = 0.0128, exclusion0 = 0.0620,     dice1 = 0.02292, cross1 = 0.0213, kl1 = 0.0071, exclusion1 = 0.0290
1.2895408
Epoch: [ 71] [3850/4000] time: 42041.3663, net0_loss = 0.05026, net0_acc = 0.9929, net0_test_acc = 0.9331,     net1_loss = 0.07522, net1_acc = 0.9875, net1_test_acc = 0.9199
Epoch: [ 71] [3850/4000] time: 42041.3664, dice0 = 0.01980, cross0 = 0.0183, kl0 = 0.0029, exclusion0 = 0.0215,     dice1 = 0.02923, cross1 = 0.0335, kl1 = 0.0018, exclusion1 = 0.0233
1.1654174
Epoch: [ 71] [3900/4000] time: 42048.6875, net0_loss = 0.11919, net0_acc = 0.9790, net0_test_acc = 0.8134,     net1_loss = 0.16283, net1_acc = 0.9733, net1_test_acc = 0.9274
Epoch: [ 71] [3900/4000] time: 42048.6876, dice0 = 0.04581, cross0 = 0.0554, kl0 = 0.0029, exclusion0 = 0.0330,     dice1 = 0.06168, cross1 = 0.0655, kl1 = 0.0095, exclusion1 = 0.0618
1.0952902
Epoch: [ 71] [3950/4000] time: 42056.1824, net0_loss = 0.12307, net0_acc = 0.9824, net0_test_acc = 0.9087,     net1_loss = 0.07708, net1_acc = 0.9869, net1_test_acc = 0.9205
Epoch: [ 71] [3950/4000] time: 42056.1825, dice0 = 0.03867, cross0 = 0.0502, kl0 = 0.0176, exclusion0 = 0.0508,     dice1 = 0.03092, cross1 = 0.0305, kl1 = 0.0034, exclusion1 = 0.0279
1.1906354
Epoch: [ 72] [  0/4000] time: 42063.4331, net0_loss = 0.05171, net0_acc = 0.9926, net0_test_acc = 0.9425,     net1_loss = 0.12278, net1_acc = 0.9824, net1_test_acc = 0.9389
Epoch: [ 72] [  0/4000] time: 42063.4331, dice0 = 0.02014, cross0 = 0.0173, kl0 = 0.0037, exclusion0 = 0.0249,     dice1 = 0.04767, cross1 = 0.0436, kl1 = 0.0089, exclusion1 = 0.0542
1.1486452
Epoch: [ 72] [ 50/4000] time: 42071.0129, net0_loss = 0.11331, net0_acc = 0.9836, net0_test_acc = 0.8452,     net1_loss = 0.15829, net1_acc = 0.9753, net1_test_acc = 0.9379
Epoch: [ 72] [ 50/4000] time: 42071.0129, dice0 = 0.04368, cross0 = 0.0407, kl0 = 0.0073, exclusion0 = 0.0506,     dice1 = 0.06223, cross1 = 0.0630, kl1 = 0.0063, exclusion1 = 0.0597
1.0605187
Epoch: [ 72] [100/4000] time: 42078.4024, net0_loss = 0.15154, net0_acc = 0.9787, net0_test_acc = 0.9675,     net1_loss = 0.13278, net1_acc = 0.9784, net1_test_acc = 0.9599
Epoch: [ 72] [100/4000] time: 42078.4025, dice0 = 0.05141, cross0 = 0.0553, kl0 = 0.0187, exclusion0 = 0.0710,     dice1 = 0.04878, cross1 = 0.0544, kl1 = 0.0110, exclusion1 = 0.0483
1.3869128
Epoch: [ 72] [150/4000] time: 42085.8437, net0_loss = 0.14192, net0_acc = 0.9774, net0_test_acc = 0.9514,     net1_loss = 0.15700, net1_acc = 0.9708, net1_test_acc = 0.9908
Epoch: [ 72] [150/4000] time: 42085.8438, dice0 = 0.05017, cross0 = 0.0621, kl0 = 0.0105, exclusion0 = 0.0489,     dice1 = 0.06129, cross1 = 0.0750, kl1 = 0.0025, exclusion1 = 0.0389
1.1717128
Epoch: [ 72] [200/4000] time: 42093.2428, net0_loss = 0.09705, net0_acc = 0.9846, net0_test_acc = 0.9600,     net1_loss = 0.20243, net1_acc = 0.9660, net1_test_acc = 0.9050
Epoch: [ 72] [200/4000] time: 42093.2429, dice0 = 0.03561, cross0 = 0.0481, kl0 = 0.0019, exclusion0 = 0.0249,     dice1 = 0.07447, cross1 = 0.0946, kl1 = 0.0087, exclusion1 = 0.0579
1.1353493
Epoch: [ 72] [250/4000] time: 42100.6432, net0_loss = 0.17457, net0_acc = 0.9716, net0_test_acc = 0.8526,     net1_loss = 0.13054, net1_acc = 0.9777, net1_test_acc = 0.9092
Epoch: [ 72] [250/4000] time: 42100.6433, dice0 = 0.06145, cross0 = 0.0791, kl0 = 0.0117, exclusion0 = 0.0564,     dice1 = 0.05178, cross1 = 0.0550, kl1 = 0.0042, exclusion1 = 0.0434
1.185904
Epoch: [ 72] [300/4000] time: 42107.9736, net0_loss = 0.16661, net0_acc = 0.9730, net0_test_acc = 0.8183,     net1_loss = 0.12091, net1_acc = 0.9800, net1_test_acc = 0.9636
Epoch: [ 72] [300/4000] time: 42107.9736, dice0 = 0.05765, cross0 = 0.0841, kl0 = 0.0080, exclusion0 = 0.0417,     dice1 = 0.04589, cross1 = 0.0559, kl1 = 0.0035, exclusion1 = 0.0347
1.1971328
Epoch: [ 72] [350/4000] time: 42115.4997, net0_loss = 0.14644, net0_acc = 0.9765, net0_test_acc = 0.9805,     net1_loss = 0.06738, net1_acc = 0.9904, net1_test_acc = 0.8755
Epoch: [ 72] [350/4000] time: 42115.4997, dice0 = 0.05766, cross0 = 0.0564, kl0 = 0.0072, exclusion0 = 0.0576,     dice1 = 0.02296, cross1 = 0.0267, kl1 = 0.0062, exclusion1 = 0.0293
1.1446024
Epoch: [ 72] [400/4000] time: 42122.8940, net0_loss = 0.17340, net0_acc = 0.9690, net0_test_acc = 0.9420,     net1_loss = 0.12777, net1_acc = 0.9789, net1_test_acc = 0.9684
Epoch: [ 72] [400/4000] time: 42122.8941, dice0 = 0.06477, cross0 = 0.0743, kl0 = 0.0125, exclusion0 = 0.0561,     dice1 = 0.04810, cross1 = 0.0595, kl1 = 0.0035, exclusion1 = 0.0368
1.099097
Epoch: [ 72] [450/4000] time: 42130.3349, net0_loss = 0.18282, net0_acc = 0.9708, net0_test_acc = 0.8957,     net1_loss = 0.27815, net1_acc = 0.9539, net1_test_acc = 0.9284
Epoch: [ 72] [450/4000] time: 42130.3350, dice0 = 0.06912, cross0 = 0.0707, kl0 = 0.0167, exclusion0 = 0.0693,     dice1 = 0.09627, cross1 = 0.1475, kl1 = 0.0064, exclusion1 = 0.0623
1.1400008
Epoch: [ 72] [500/4000] time: 42137.7377, net0_loss = 0.12094, net0_acc = 0.9810, net0_test_acc = 0.9550,     net1_loss = 0.10584, net1_acc = 0.9843, net1_test_acc = 0.8962
Epoch: [ 72] [500/4000] time: 42137.7378, dice0 = 0.04489, cross0 = 0.0555, kl0 = 0.0044, exclusion0 = 0.0368,     dice1 = 0.04070, cross1 = 0.0421, kl1 = 0.0046, exclusion1 = 0.0414
1.1625636
Epoch: [ 72] [550/4000] time: 42145.1107, net0_loss = 0.07674, net0_acc = 0.9897, net0_test_acc = 0.9764,     net1_loss = 0.06845, net1_acc = 0.9884, net1_test_acc = 0.9476
Epoch: [ 72] [550/4000] time: 42145.1108, dice0 = 0.03006, cross0 = 0.0251, kl0 = 0.0056, exclusion0 = 0.0376,     dice1 = 0.02719, cross1 = 0.0274, kl1 = 0.0021, exclusion1 = 0.0256
1.2233403
Epoch: [ 72] [600/4000] time: 42152.5127, net0_loss = 0.16143, net0_acc = 0.9732, net0_test_acc = 0.9557,     net1_loss = 0.09090, net1_acc = 0.9857, net1_test_acc = 0.9507
Epoch: [ 72] [600/4000] time: 42152.5127, dice0 = 0.05765, cross0 = 0.0779, kl0 = 0.0087, exclusion0 = 0.0430,     dice1 = 0.03634, cross1 = 0.0327, kl1 = 0.0054, exclusion1 = 0.0384
1.0911436
Epoch: [ 72] [650/4000] time: 42159.8511, net0_loss = 0.19577, net0_acc = 0.9669, net0_test_acc = 0.9513,     net1_loss = 0.31293, net1_acc = 0.9499, net1_test_acc = 0.7773
Epoch: [ 72] [650/4000] time: 42159.8512, dice0 = 0.07697, cross0 = 0.0751, kl0 = 0.0109, exclusion0 = 0.0764,     dice1 = 0.10342, cross1 = 0.1599, kl1 = 0.0155, exclusion1 = 0.0837
1.0681705
Epoch: [ 72] [700/4000] time: 42167.2400, net0_loss = 0.20138, net0_acc = 0.9696, net0_test_acc = 0.8534,     net1_loss = 0.15191, net1_acc = 0.9763, net1_test_acc = 0.9162
Epoch: [ 72] [700/4000] time: 42167.2400, dice0 = 0.07252, cross0 = 0.0794, kl0 = 0.0180, exclusion0 = 0.0809,     dice1 = 0.05833, cross1 = 0.0576, kl1 = 0.0097, exclusion1 = 0.0622
1.0790689
Epoch: [ 72] [750/4000] time: 42174.7024, net0_loss = 0.12169, net0_acc = 0.9815, net0_test_acc = 0.9069,     net1_loss = 0.13046, net1_acc = 0.9767, net1_test_acc = 0.8106
Epoch: [ 72] [750/4000] time: 42174.7025, dice0 = 0.04004, cross0 = 0.0639, kl0 = 0.0054, exclusion0 = 0.0301,     dice1 = 0.04850, cross1 = 0.0654, kl1 = 0.0024, exclusion1 = 0.0308
1.162899
Epoch: [ 72] [800/4000] time: 42182.1374, net0_loss = 0.15201, net0_acc = 0.9762, net0_test_acc = 0.9250,     net1_loss = 0.23049, net1_acc = 0.9651, net1_test_acc = 0.9453
Epoch: [ 72] [800/4000] time: 42182.1374, dice0 = 0.05336, cross0 = 0.0661, kl0 = 0.0108, exclusion0 = 0.0543,     dice1 = 0.07264, cross1 = 0.1074, kl1 = 0.0257, exclusion1 = 0.0753
1.1065527
Epoch: [ 72] [850/4000] time: 42189.5134, net0_loss = 0.11269, net0_acc = 0.9810, net0_test_acc = 0.9212,     net1_loss = 0.09347, net1_acc = 0.9874, net1_test_acc = 0.9298
Epoch: [ 72] [850/4000] time: 42189.5135, dice0 = 0.04196, cross0 = 0.0526, kl0 = 0.0034, exclusion0 = 0.0329,     dice1 = 0.03328, cross1 = 0.0294, kl1 = 0.0131, exclusion1 = 0.0486
1.1358538
Epoch: [ 72] [900/4000] time: 42196.9469, net0_loss = 0.20037, net0_acc = 0.9672, net0_test_acc = 0.9726,     net1_loss = 0.05313, net1_acc = 0.9919, net1_test_acc = 0.9326
Epoch: [ 72] [900/4000] time: 42196.9471, dice0 = 0.07106, cross0 = 0.1000, kl0 = 0.0063, exclusion0 = 0.0523,     dice1 = 0.02171, cross1 = 0.0197, kl1 = 0.0015, exclusion1 = 0.0218
1.0753019
Epoch: [ 72] [950/4000] time: 42204.3371, net0_loss = 0.19817, net0_acc = 0.9654, net0_test_acc = 0.9103,     net1_loss = 0.15428, net1_acc = 0.9745, net1_test_acc = 0.8629
Epoch: [ 72] [950/4000] time: 42204.3372, dice0 = 0.07275, cross0 = 0.0977, kl0 = 0.0060, exclusion0 = 0.0495,     dice1 = 0.05702, cross1 = 0.0687, kl1 = 0.0089, exclusion1 = 0.0481
1.2341611
Epoch: [ 72] [1000/4000] time: 42211.7380, net0_loss = 0.16957, net0_acc = 0.9721, net0_test_acc = 0.9536,     net1_loss = 0.17265, net1_acc = 0.9706, net1_test_acc = 0.9813
Epoch: [ 72] [1000/4000] time: 42211.7380, dice0 = 0.05895, cross0 = 0.0796, kl0 = 0.0123, exclusion0 = 0.0498,     dice1 = 0.06474, cross1 = 0.0762, kl1 = 0.0097, exclusion1 = 0.0538
1.0525115
Epoch: [ 72] [1050/4000] time: 42219.1049, net0_loss = 0.04329, net0_acc = 0.9940, net0_test_acc = 0.8763,     net1_loss = 0.16105, net1_acc = 0.9732, net1_test_acc = 0.8598
Epoch: [ 72] [1050/4000] time: 42219.1050, dice0 = 0.01695, cross0 = 0.0156, kl0 = 0.0024, exclusion0 = 0.0192,     dice1 = 0.05567, cross1 = 0.0770, kl1 = 0.0113, exclusion1 = 0.0454
1.1245972
Epoch: [ 72] [1100/4000] time: 42226.5570, net0_loss = 0.17439, net0_acc = 0.9697, net0_test_acc = 0.9220,     net1_loss = 0.12574, net1_acc = 0.9817, net1_test_acc = 0.8963
Epoch: [ 72] [1100/4000] time: 42226.5571, dice0 = 0.06510, cross0 = 0.0809, kl0 = 0.0060, exclusion0 = 0.0507,     dice1 = 0.04843, cross1 = 0.0436, kl1 = 0.0099, exclusion1 = 0.0574
1.1682132
Epoch: [ 72] [1150/4000] time: 42233.9195, net0_loss = 0.06408, net0_acc = 0.9914, net0_test_acc = 0.9499,     net1_loss = 0.17537, net1_acc = 0.9700, net1_test_acc = 0.9384
Epoch: [ 72] [1150/4000] time: 42233.9195, dice0 = 0.02377, cross0 = 0.0203, kl0 = 0.0064, exclusion0 = 0.0336,     dice1 = 0.06472, cross1 = 0.0855, kl1 = 0.0047, exclusion1 = 0.0457
1.1038983
Epoch: [ 72] [1200/4000] time: 42241.3707, net0_loss = 0.13387, net0_acc = 0.9784, net0_test_acc = 0.9301,     net1_loss = 0.21949, net1_acc = 0.9617, net1_test_acc = 0.9905
Epoch: [ 72] [1200/4000] time: 42241.3708, dice0 = 0.05141, cross0 = 0.0553, kl0 = 0.0058, exclusion0 = 0.0485,     dice1 = 0.08097, cross1 = 0.1011, kl1 = 0.0092, exclusion1 = 0.0657
1.0915273
Epoch: [ 72] [1250/4000] time: 42248.7794, net0_loss = 0.04082, net0_acc = 0.9944, net0_test_acc = 0.9330,     net1_loss = 0.14901, net1_acc = 0.9770, net1_test_acc = 0.7954
Epoch: [ 72] [1250/4000] time: 42248.7795, dice0 = 0.01697, cross0 = 0.0136, kl0 = 0.0009, exclusion0 = 0.0195,     dice1 = 0.05456, cross1 = 0.0580, kl1 = 0.0110, exclusion1 = 0.0620
1.0896512
Epoch: [ 72] [1300/4000] time: 42256.1613, net0_loss = 0.16088, net0_acc = 0.9751, net0_test_acc = 0.8786,     net1_loss = 0.16386, net1_acc = 0.9749, net1_test_acc = 0.9843
Epoch: [ 72] [1300/4000] time: 42256.1614, dice0 = 0.06172, cross0 = 0.0570, kl0 = 0.0140, exclusion0 = 0.0704,     dice1 = 0.05924, cross1 = 0.0743, kl1 = 0.0077, exclusion1 = 0.0530
1.1713128
Epoch: [ 72] [1350/4000] time: 42263.6007, net0_loss = 0.19390, net0_acc = 0.9686, net0_test_acc = 0.9533,     net1_loss = 0.21173, net1_acc = 0.9650, net1_test_acc = 0.9155
Epoch: [ 72] [1350/4000] time: 42263.6007, dice0 = 0.06761, cross0 = 0.0789, kl0 = 0.0222, exclusion0 = 0.0726,     dice1 = 0.07267, cross1 = 0.1086, kl1 = 0.0082, exclusion1 = 0.0526
1.1548947
Epoch: [ 72] [1400/4000] time: 42270.9619, net0_loss = 0.09624, net0_acc = 0.9850, net0_test_acc = 0.8609,     net1_loss = 0.12330, net1_acc = 0.9774, net1_test_acc = 0.9088
Epoch: [ 72] [1400/4000] time: 42270.9619, dice0 = 0.03791, cross0 = 0.0371, kl0 = 0.0044, exclusion0 = 0.0381,     dice1 = 0.04887, cross1 = 0.0555, kl1 = 0.0025, exclusion1 = 0.0353
1.1543854
Epoch: [ 72] [1450/4000] time: 42278.3952, net0_loss = 0.11816, net0_acc = 0.9823, net0_test_acc = 0.9167,     net1_loss = 0.09603, net1_acc = 0.9838, net1_test_acc = 0.7960
Epoch: [ 72] [1450/4000] time: 42278.3954, dice0 = 0.04336, cross0 = 0.0456, kl0 = 0.0095, exclusion0 = 0.0490,     dice1 = 0.03714, cross1 = 0.0371, kl1 = 0.0049, exclusion1 = 0.0386
1.1104717
Epoch: [ 72] [1500/4000] time: 42285.7386, net0_loss = 0.10484, net0_acc = 0.9835, net0_test_acc = 0.8972,     net1_loss = 0.13277, net1_acc = 0.9812, net1_test_acc = 0.9064
Epoch: [ 72] [1500/4000] time: 42285.7387, dice0 = 0.03887, cross0 = 0.0455, kl0 = 0.0054, exclusion0 = 0.0355,     dice1 = 0.04706, cross1 = 0.0580, kl1 = 0.0073, exclusion1 = 0.0482
1.161376
Epoch: [ 72] [1550/4000] time: 42293.2567, net0_loss = 0.07556, net0_acc = 0.9893, net0_test_acc = 0.9289,     net1_loss = 0.05744, net1_acc = 0.9919, net1_test_acc = 0.9295
Epoch: [ 72] [1550/4000] time: 42293.2568, dice0 = 0.02876, cross0 = 0.0293, kl0 = 0.0043, exclusion0 = 0.0307,     dice1 = 0.02285, cross1 = 0.0213, kl1 = 0.0029, exclusion1 = 0.0237
1.1813077
Epoch: [ 72] [1600/4000] time: 42300.6606, net0_loss = 0.05393, net0_acc = 0.9906, net0_test_acc = 0.8892,     net1_loss = 0.17743, net1_acc = 0.9707, net1_test_acc = 0.9268
Epoch: [ 72] [1600/4000] time: 42300.6607, dice0 = 0.02127, cross0 = 0.0238, kl0 = 0.0011, exclusion0 = 0.0166,     dice1 = 0.06847, cross1 = 0.0670, kl1 = 0.0112, exclusion1 = 0.0728
1.0345669
Epoch: [ 72] [1650/4000] time: 42308.0646, net0_loss = 0.09423, net0_acc = 0.9857, net0_test_acc = 0.9239,     net1_loss = 0.11006, net1_acc = 0.9841, net1_test_acc = 0.9428
Epoch: [ 72] [1650/4000] time: 42308.0647, dice0 = 0.03565, cross0 = 0.0351, kl0 = 0.0067, exclusion0 = 0.0402,     dice1 = 0.04382, cross1 = 0.0381, kl1 = 0.0061, exclusion1 = 0.0502
1.0541741
Epoch: [ 72] [1700/4000] time: 42315.4859, net0_loss = 0.28474, net0_acc = 0.9527, net0_test_acc = 0.9825,     net1_loss = 0.14570, net1_acc = 0.9779, net1_test_acc = 0.9892
Epoch: [ 72] [1700/4000] time: 42315.4860, dice0 = 0.10588, cross0 = 0.1207, kl0 = 0.0151, exclusion0 = 0.1012,     dice1 = 0.05662, cross1 = 0.0548, kl1 = 0.0086, exclusion1 = 0.0600
1.1321896
Epoch: [ 72] [1750/4000] time: 42322.8630, net0_loss = 0.06076, net0_acc = 0.9911, net0_test_acc = 0.9622,     net1_loss = 0.18399, net1_acc = 0.9690, net1_test_acc = 0.9572
Epoch: [ 72] [1750/4000] time: 42322.8631, dice0 = 0.02402, cross0 = 0.0213, kl0 = 0.0031, exclusion0 = 0.0278,     dice1 = 0.06709, cross1 = 0.0820, kl1 = 0.0130, exclusion1 = 0.0569
1.2607886
Epoch: [ 72] [1800/4000] time: 42330.2779, net0_loss = 0.15283, net0_acc = 0.9760, net0_test_acc = 0.9754,     net1_loss = 0.07667, net1_acc = 0.9881, net1_test_acc = 0.9196
Epoch: [ 72] [1800/4000] time: 42330.2779, dice0 = 0.06137, cross0 = 0.0570, kl0 = 0.0048, exclusion0 = 0.0641,     dice1 = 0.03170, cross1 = 0.0288, kl1 = 0.0024, exclusion1 = 0.0300
1.2445872
Epoch: [ 72] [1850/4000] time: 42337.6681, net0_loss = 0.11662, net0_acc = 0.9821, net0_test_acc = 0.8761,     net1_loss = 0.15161, net1_acc = 0.9771, net1_test_acc = 0.9770
Epoch: [ 72] [1850/4000] time: 42337.6681, dice0 = 0.04556, cross0 = 0.0425, kl0 = 0.0065, exclusion0 = 0.0507,     dice1 = 0.05508, cross1 = 0.0590, kl1 = 0.0136, exclusion1 = 0.0613
1.1114109
Epoch: [ 72] [1900/4000] time: 42345.1092, net0_loss = 0.11266, net0_acc = 0.9803, net0_test_acc = 0.9036,     net1_loss = 0.10268, net1_acc = 0.9835, net1_test_acc = 0.9885
Epoch: [ 72] [1900/4000] time: 42345.1093, dice0 = 0.04282, cross0 = 0.0501, kl0 = 0.0055, exclusion0 = 0.0341,     dice1 = 0.04082, cross1 = 0.0392, kl1 = 0.0045, exclusion1 = 0.0409
1.1159613
Epoch: [ 72] [1950/4000] time: 42352.5217, net0_loss = 0.11524, net0_acc = 0.9820, net0_test_acc = 0.9071,     net1_loss = 0.07386, net1_acc = 0.9886, net1_test_acc = 0.9139
Epoch: [ 72] [1950/4000] time: 42352.5217, dice0 = 0.04456, cross0 = 0.0416, kl0 = 0.0083, exclusion0 = 0.0498,     dice1 = 0.03000, cross1 = 0.0267, kl1 = 0.0037, exclusion1 = 0.0306
1.0769858
Epoch: [ 72] [2000/4000] time: 42359.9266, net0_loss = 0.19794, net0_acc = 0.9671, net0_test_acc = 0.9662,     net1_loss = 0.11034, net1_acc = 0.9839, net1_test_acc = 0.9584
Epoch: [ 72] [2000/4000] time: 42359.9267, dice0 = 0.07337, cross0 = 0.0826, kl0 = 0.0130, exclusion0 = 0.0710,     dice1 = 0.04042, cross1 = 0.0442, kl1 = 0.0079, exclusion1 = 0.0436
1.1063848
Epoch: [ 72] [2050/4000] time: 42367.3141, net0_loss = 0.28762, net0_acc = 0.9518, net0_test_acc = 0.7509,     net1_loss = 0.06896, net1_acc = 0.9884, net1_test_acc = 0.9032
Epoch: [ 72] [2050/4000] time: 42367.3142, dice0 = 0.10121, cross0 = 0.1379, kl0 = 0.0133, exclusion0 = 0.0837,     dice1 = 0.02728, cross1 = 0.0295, kl1 = 0.0018, exclusion1 = 0.0226
1.204019
Epoch: [ 72] [2100/4000] time: 42374.7267, net0_loss = 0.06414, net0_acc = 0.9904, net0_test_acc = 0.8381,     net1_loss = 0.10653, net1_acc = 0.9800, net1_test_acc = 0.8271
Epoch: [ 72] [2100/4000] time: 42374.7268, dice0 = 0.02573, cross0 = 0.0253, kl0 = 0.0014, exclusion0 = 0.0248,     dice1 = 0.04176, cross1 = 0.0523, kl1 = 0.0015, exclusion1 = 0.0234
1.1597425
Epoch: [ 72] [2150/4000] time: 42382.0899, net0_loss = 0.05940, net0_acc = 0.9920, net0_test_acc = 0.9845,     net1_loss = 0.05591, net1_acc = 0.9928, net1_test_acc = 0.9689
Epoch: [ 72] [2150/4000] time: 42382.0900, dice0 = 0.02329, cross0 = 0.0210, kl0 = 0.0052, exclusion0 = 0.0251,     dice1 = 0.02036, cross1 = 0.0187, kl1 = 0.0041, exclusion1 = 0.0296
1.3449674
Epoch: [ 72] [2200/4000] time: 42389.4748, net0_loss = 0.16650, net0_acc = 0.9737, net0_test_acc = 0.9350,     net1_loss = 0.10326, net1_acc = 0.9825, net1_test_acc = 0.9414
Epoch: [ 72] [2200/4000] time: 42389.4748, dice0 = 0.05913, cross0 = 0.0729, kl0 = 0.0116, exclusion0 = 0.0573,     dice1 = 0.04100, cross1 = 0.0440, kl1 = 0.0022, exclusion1 = 0.0344
1.219684
Epoch: [ 72] [2250/4000] time: 42396.9323, net0_loss = 0.06926, net0_acc = 0.9897, net0_test_acc = 0.9485,     net1_loss = 0.16961, net1_acc = 0.9720, net1_test_acc = 0.9653
Epoch: [ 72] [2250/4000] time: 42396.9324, dice0 = 0.02761, cross0 = 0.0244, kl0 = 0.0044, exclusion0 = 0.0301,     dice1 = 0.06250, cross1 = 0.0767, kl1 = 0.0067, exclusion1 = 0.0541
1.1344985
Epoch: [ 72] [2300/4000] time: 42404.3287, net0_loss = 0.26756, net0_acc = 0.9563, net0_test_acc = 0.8955,     net1_loss = 0.20598, net1_acc = 0.9663, net1_test_acc = 0.9763
Epoch: [ 72] [2300/4000] time: 42404.3288, dice0 = 0.10061, cross0 = 0.1138, kl0 = 0.0150, exclusion0 = 0.0914,     dice1 = 0.07432, cross1 = 0.0941, kl1 = 0.0105, exclusion1 = 0.0646
1.2261505
Epoch: [ 72] [2350/4000] time: 42411.8081, net0_loss = 0.08004, net0_acc = 0.9872, net0_test_acc = 0.9470,     net1_loss = 0.07374, net1_acc = 0.9894, net1_test_acc = 0.9371
Epoch: [ 72] [2350/4000] time: 42411.8082, dice0 = 0.03157, cross0 = 0.0296, kl0 = 0.0042, exclusion0 = 0.0336,     dice1 = 0.02958, cross1 = 0.0248, kl1 = 0.0042, exclusion1 = 0.0345
1.1489887
Epoch: [ 72] [2400/4000] time: 42419.1953, net0_loss = 0.09963, net0_acc = 0.9823, net0_test_acc = 0.9576,     net1_loss = 0.21274, net1_acc = 0.9646, net1_test_acc = 0.9122
Epoch: [ 72] [2400/4000] time: 42419.1953, dice0 = 0.04021, cross0 = 0.0409, kl0 = 0.0024, exclusion0 = 0.0346,     dice1 = 0.07596, cross1 = 0.1022, kl1 = 0.0096, exclusion1 = 0.0596
1.1074151
Epoch: [ 72] [2450/4000] time: 42426.5528, net0_loss = 0.16463, net0_acc = 0.9707, net0_test_acc = 0.9732,     net1_loss = 0.10622, net1_acc = 0.9830, net1_test_acc = 0.8973
Epoch: [ 72] [2450/4000] time: 42426.5529, dice0 = 0.06126, cross0 = 0.0756, kl0 = 0.0066, exclusion0 = 0.0489,     dice1 = 0.03837, cross1 = 0.0532, kl1 = 0.0035, exclusion1 = 0.0257
1.1117039
Epoch: [ 72] [2500/4000] time: 42433.9910, net0_loss = 0.50550, net0_acc = 0.9109, net0_test_acc = 0.7610,     net1_loss = 0.29010, net1_acc = 0.9659, net1_test_acc = 0.9421
Epoch: [ 72] [2500/4000] time: 42433.9911, dice0 = 0.17233, cross0 = 0.2280, kl0 = 0.0484, exclusion0 = 0.1618,     dice1 = 0.07594, cross1 = 0.1749, kl1 = 0.0153, exclusion1 = 0.0633
1.1161078
Epoch: [ 72] [2550/4000] time: 42441.4225, net0_loss = 0.16003, net0_acc = 0.9764, net0_test_acc = 0.8876,     net1_loss = 0.14832, net1_acc = 0.9777, net1_test_acc = 0.8366
Epoch: [ 72] [2550/4000] time: 42441.4226, dice0 = 0.05713, cross0 = 0.0619, kl0 = 0.0135, exclusion0 = 0.0686,     dice1 = 0.05613, cross1 = 0.0529, kl1 = 0.0132, exclusion1 = 0.0654
1.1554393
Epoch: [ 72] [2600/4000] time: 42448.8086, net0_loss = 0.11164, net0_acc = 0.9817, net0_test_acc = 0.8845,     net1_loss = 0.17910, net1_acc = 0.9685, net1_test_acc = 0.9605
Epoch: [ 72] [2600/4000] time: 42448.8087, dice0 = 0.04366, cross0 = 0.0443, kl0 = 0.0046, exclusion0 = 0.0428,     dice1 = 0.06488, cross1 = 0.0944, kl1 = 0.0034, exclusion1 = 0.0363
1.0819494
Epoch: [ 72] [2650/4000] time: 42456.1509, net0_loss = 0.09848, net0_acc = 0.9833, net0_test_acc = 0.9214,     net1_loss = 0.08548, net1_acc = 0.9875, net1_test_acc = 0.9760
Epoch: [ 72] [2650/4000] time: 42456.1510, dice0 = 0.03833, cross0 = 0.0420, kl0 = 0.0039, exclusion0 = 0.0324,     dice1 = 0.03255, cross1 = 0.0324, kl1 = 0.0058, exclusion1 = 0.0352
1.1421558
Epoch: [ 72] [2700/4000] time: 42463.6074, net0_loss = 0.08447, net0_acc = 0.9869, net0_test_acc = 0.8970,     net1_loss = 0.10577, net1_acc = 0.9840, net1_test_acc = 0.9305
Epoch: [ 72] [2700/4000] time: 42463.6074, dice0 = 0.03427, cross0 = 0.0306, kl0 = 0.0028, exclusion0 = 0.0364,     dice1 = 0.04226, cross1 = 0.0417, kl1 = 0.0043, exclusion1 = 0.0393
1.1568975
Epoch: [ 72] [2750/4000] time: 42470.9964, net0_loss = 0.12216, net0_acc = 0.9811, net0_test_acc = 0.9566,     net1_loss = 0.19047, net1_acc = 0.9686, net1_test_acc = 0.9372
Epoch: [ 72] [2750/4000] time: 42470.9965, dice0 = 0.04717, cross0 = 0.0467, kl0 = 0.0079, exclusion0 = 0.0487,     dice1 = 0.07288, cross1 = 0.0808, kl1 = 0.0063, exclusion1 = 0.0674
1.1066372
Epoch: [ 72] [2800/4000] time: 42478.4143, net0_loss = 0.06988, net0_acc = 0.9877, net0_test_acc = 0.7752,     net1_loss = 0.12143, net1_acc = 0.9810, net1_test_acc = 0.8224
Epoch: [ 72] [2800/4000] time: 42478.4144, dice0 = 0.02693, cross0 = 0.0321, kl0 = 0.0024, exclusion0 = 0.0193,     dice1 = 0.04509, cross1 = 0.0464, kl1 = 0.0099, exclusion1 = 0.0499
1.1560187
Epoch: [ 72] [2850/4000] time: 42485.8234, net0_loss = 0.08557, net0_acc = 0.9869, net0_test_acc = 0.8161,     net1_loss = 0.10295, net1_acc = 0.9831, net1_test_acc = 0.8379
Epoch: [ 72] [2850/4000] time: 42485.8235, dice0 = 0.03021, cross0 = 0.0333, kl0 = 0.0087, exclusion0 = 0.0354,     dice1 = 0.04054, cross1 = 0.0405, kl1 = 0.0050, exclusion1 = 0.0387
1.117257
Epoch: [ 72] [2900/4000] time: 42493.2078, net0_loss = 0.05552, net0_acc = 0.9913, net0_test_acc = 0.9759,     net1_loss = 0.19026, net1_acc = 0.9685, net1_test_acc = 0.9471
Epoch: [ 72] [2900/4000] time: 42493.2079, dice0 = 0.02043, cross0 = 0.0264, kl0 = 0.0018, exclusion0 = 0.0155,     dice1 = 0.07247, cross1 = 0.0738, kl1 = 0.0104, exclusion1 = 0.0775
1.1484121
Epoch: [ 72] [2950/4000] time: 42500.6580, net0_loss = 0.07251, net0_acc = 0.9877, net0_test_acc = 0.9895,     net1_loss = 0.11295, net1_acc = 0.9839, net1_test_acc = 0.9522
Epoch: [ 72] [2950/4000] time: 42500.6581, dice0 = 0.02783, cross0 = 0.0345, kl0 = 0.0016, exclusion0 = 0.0187,     dice1 = 0.04434, cross1 = 0.0370, kl1 = 0.0081, exclusion1 = 0.0552
1.2317
Epoch: [ 72] [3000/4000] time: 42508.0732, net0_loss = 0.05861, net0_acc = 0.9911, net0_test_acc = 0.9451,     net1_loss = 0.17236, net1_acc = 0.9728, net1_test_acc = 0.8043
Epoch: [ 72] [3000/4000] time: 42508.0732, dice0 = 0.02246, cross0 = 0.0236, kl0 = 0.0027, exclusion0 = 0.0225,     dice1 = 0.06638, cross1 = 0.0662, kl1 = 0.0101, exclusion1 = 0.0695
1.1388888
Epoch: [ 72] [3050/4000] time: 42515.4712, net0_loss = 0.10059, net0_acc = 0.9842, net0_test_acc = 0.9792,     net1_loss = 0.15302, net1_acc = 0.9758, net1_test_acc = 0.9000
Epoch: [ 72] [3050/4000] time: 42515.4713, dice0 = 0.03923, cross0 = 0.0390, kl0 = 0.0054, exclusion0 = 0.0394,     dice1 = 0.05847, cross1 = 0.0601, kl1 = 0.0080, exclusion1 = 0.0609
1.1499821
Epoch: [ 72] [3100/4000] time: 42522.8740, net0_loss = 0.07456, net0_acc = 0.9874, net0_test_acc = 0.9521,     net1_loss = 0.24366, net1_acc = 0.9623, net1_test_acc = 0.9617
Epoch: [ 72] [3100/4000] time: 42522.8740, dice0 = 0.02751, cross0 = 0.0369, kl0 = 0.0021, exclusion0 = 0.0181,     dice1 = 0.08362, cross1 = 0.1195, kl1 = 0.0131, exclusion1 = 0.0679
1.1976726
Epoch: [ 72] [3150/4000] time: 42530.2909, net0_loss = 0.25403, net0_acc = 0.9592, net0_test_acc = 0.9477,     net1_loss = 0.11404, net1_acc = 0.9816, net1_test_acc = 0.9813
Epoch: [ 72] [3150/4000] time: 42530.2909, dice0 = 0.09815, cross0 = 0.1022, kl0 = 0.0153, exclusion0 = 0.0920,     dice1 = 0.04486, cross1 = 0.0440, kl1 = 0.0050, exclusion1 = 0.0453
1.1596568
Epoch: [ 72] [3200/4000] time: 42537.6789, net0_loss = 0.17493, net0_acc = 0.9724, net0_test_acc = 0.8693,     net1_loss = 0.03396, net1_acc = 0.9951, net1_test_acc = 0.9534
Epoch: [ 72] [3200/4000] time: 42537.6790, dice0 = 0.06535, cross0 = 0.0732, kl0 = 0.0088, exclusion0 = 0.0640,     dice1 = 0.01389, cross1 = 0.0125, kl1 = 0.0010, exclusion1 = 0.0142
1.2237674
Epoch: [ 72] [3250/4000] time: 42545.1313, net0_loss = 0.09718, net0_acc = 0.9846, net0_test_acc = 0.9016,     net1_loss = 0.14840, net1_acc = 0.9759, net1_test_acc = 0.9600
Epoch: [ 72] [3250/4000] time: 42545.1314, dice0 = 0.03740, cross0 = 0.0399, kl0 = 0.0052, exclusion0 = 0.0346,     dice1 = 0.05406, cross1 = 0.0591, kl1 = 0.0127, exclusion1 = 0.0577
1.2222037
Epoch: [ 72] [3300/4000] time: 42552.5185, net0_loss = 0.12745, net0_acc = 0.9772, net0_test_acc = 0.9640,     net1_loss = 0.07356, net1_acc = 0.9884, net1_test_acc = 0.9456
Epoch: [ 72] [3300/4000] time: 42552.5185, dice0 = 0.05021, cross0 = 0.0575, kl0 = 0.0023, exclusion0 = 0.0371,     dice1 = 0.02908, cross1 = 0.0289, kl1 = 0.0026, exclusion1 = 0.0285
1.2357552
Epoch: [ 72] [3350/4000] time: 42559.9386, net0_loss = 0.09618, net0_acc = 0.9832, net0_test_acc = 0.9138,     net1_loss = 0.08861, net1_acc = 0.9854, net1_test_acc = 0.9680
Epoch: [ 72] [3350/4000] time: 42559.9387, dice0 = 0.03610, cross0 = 0.0441, kl0 = 0.0040, exclusion0 = 0.0279,     dice1 = 0.03372, cross1 = 0.0381, kl1 = 0.0041, exclusion1 = 0.0294
1.1269685
Epoch: [ 72] [3400/4000] time: 42567.2987, net0_loss = 0.04051, net0_acc = 0.9952, net0_test_acc = 0.9828,     net1_loss = 0.05353, net1_acc = 0.9921, net1_test_acc = 0.9525
Epoch: [ 72] [3400/4000] time: 42567.2988, dice0 = 0.01580, cross0 = 0.0123, kl0 = 0.0033, exclusion0 = 0.0216,     dice1 = 0.02143, cross1 = 0.0214, kl1 = 0.0013, exclusion1 = 0.0201
1.2966996
Epoch: [ 72] [3450/4000] time: 42574.7654, net0_loss = 0.09033, net0_acc = 0.9853, net0_test_acc = 0.7549,     net1_loss = 0.09194, net1_acc = 0.9842, net1_test_acc = 0.9078
Epoch: [ 72] [3450/4000] time: 42574.7654, dice0 = 0.03490, cross0 = 0.0403, kl0 = 0.0022, exclusion0 = 0.0280,     dice1 = 0.03589, cross1 = 0.0385, kl1 = 0.0035, exclusion1 = 0.0315
1.1215262
Epoch: [ 72] [3500/4000] time: 42582.1652, net0_loss = 0.04869, net0_acc = 0.9936, net0_test_acc = 0.9235,     net1_loss = 0.18131, net1_acc = 0.9698, net1_test_acc = 0.9511
Epoch: [ 72] [3500/4000] time: 42582.1652, dice0 = 0.01996, cross0 = 0.0161, kl0 = 0.0014, exclusion0 = 0.0239,     dice1 = 0.06712, cross1 = 0.0821, kl1 = 0.0078, exclusion1 = 0.0564
1.2949078
Epoch: [ 72] [3550/4000] time: 42589.5827, net0_loss = 0.12760, net0_acc = 0.9798, net0_test_acc = 0.9330,     net1_loss = 0.11493, net1_acc = 0.9813, net1_test_acc = 0.9573
Epoch: [ 72] [3550/4000] time: 42589.5827, dice0 = 0.04632, cross0 = 0.0535, kl0 = 0.0091, exclusion0 = 0.0465,     dice1 = 0.04395, cross1 = 0.0482, kl1 = 0.0048, exclusion1 = 0.0407
1.1433802
Epoch: [ 72] [3600/4000] time: 42596.9997, net0_loss = 0.32213, net0_acc = 0.9451, net0_test_acc = 0.9379,     net1_loss = 0.16777, net1_acc = 0.9720, net1_test_acc = 0.9226
Epoch: [ 72] [3600/4000] time: 42596.9998, dice0 = 0.11304, cross0 = 0.1603, kl0 = 0.0152, exclusion0 = 0.0823,     dice1 = 0.06259, cross1 = 0.0723, kl1 = 0.0094, exclusion1 = 0.0564
1.1948909
Epoch: [ 72] [3650/4000] time: 42604.3874, net0_loss = 0.08386, net0_acc = 0.9873, net0_test_acc = 0.8121,     net1_loss = 0.16582, net1_acc = 0.9757, net1_test_acc = 0.9448
Epoch: [ 72] [3650/4000] time: 42604.3874, dice0 = 0.03139, cross0 = 0.0323, kl0 = 0.0066, exclusion0 = 0.0338,     dice1 = 0.05868, cross1 = 0.0669, kl1 = 0.0151, exclusion1 = 0.0653
1.1728549
Epoch: [ 72] [3700/4000] time: 42611.8225, net0_loss = 0.12398, net0_acc = 0.9797, net0_test_acc = 0.9021,     net1_loss = 0.14443, net1_acc = 0.9754, net1_test_acc = 0.9228
Epoch: [ 72] [3700/4000] time: 42611.8226, dice0 = 0.04792, cross0 = 0.0511, kl0 = 0.0052, exclusion0 = 0.0447,     dice1 = 0.05147, cross1 = 0.0725, kl1 = 0.0058, exclusion1 = 0.0352
1.1069268
Epoch: [ 72] [3750/4000] time: 42619.2254, net0_loss = 0.17398, net0_acc = 0.9726, net0_test_acc = 0.9549,     net1_loss = 0.16940, net1_acc = 0.9730, net1_test_acc = 0.9341
Epoch: [ 72] [3750/4000] time: 42619.2254, dice0 = 0.06750, cross0 = 0.0673, kl0 = 0.0082, exclusion0 = 0.0701,     dice1 = 0.06594, cross1 = 0.0645, kl1 = 0.0088, exclusion1 = 0.0692
1.2168576
Epoch: [ 72] [3800/4000] time: 42626.6110, net0_loss = 0.13219, net0_acc = 0.9756, net0_test_acc = 0.8360,     net1_loss = 0.32258, net1_acc = 0.9443, net1_test_acc = 0.9351
Epoch: [ 72] [3800/4000] time: 42626.6110, dice0 = 0.05231, cross0 = 0.0548, kl0 = 0.0058, exclusion0 = 0.0444,     dice1 = 0.11458, cross1 = 0.1514, kl1 = 0.0196, exclusion1 = 0.0936
1.1556088
Epoch: [ 72] [3850/4000] time: 42634.0435, net0_loss = 0.16895, net0_acc = 0.9730, net0_test_acc = 0.9682,     net1_loss = 0.08477, net1_acc = 0.9906, net1_test_acc = 0.9563
Epoch: [ 72] [3850/4000] time: 42634.0436, dice0 = 0.05797, cross0 = 0.0801, kl0 = 0.0109, exclusion0 = 0.0509,     dice1 = 0.02565, cross1 = 0.0279, kl1 = 0.0154, exclusion1 = 0.0471
1.2822461
Epoch: [ 72] [3900/4000] time: 42641.4775, net0_loss = 0.19861, net0_acc = 0.9680, net0_test_acc = 0.9565,     net1_loss = 0.11002, net1_acc = 0.9839, net1_test_acc = 0.9902
Epoch: [ 72] [3900/4000] time: 42641.4776, dice0 = 0.07156, cross0 = 0.0910, kl0 = 0.0101, exclusion0 = 0.0621,     dice1 = 0.04238, cross1 = 0.0399, kl1 = 0.0067, exclusion1 = 0.0488
1.1727877
Epoch: [ 72] [3950/4000] time: 42648.8963, net0_loss = 0.07320, net0_acc = 0.9889, net0_test_acc = 0.9597,     net1_loss = 0.11440, net1_acc = 0.9832, net1_test_acc = 0.8947
Epoch: [ 72] [3950/4000] time: 42648.8965, dice0 = 0.02889, cross0 = 0.0292, kl0 = 0.0021, exclusion0 = 0.0282,     dice1 = 0.04278, cross1 = 0.0438, kl1 = 0.0085, exclusion1 = 0.0472
1.1278614
Epoch: [ 73] [  0/4000] time: 42656.2952, net0_loss = 0.08179, net0_acc = 0.9875, net0_test_acc = 0.8635,     net1_loss = 0.09534, net1_acc = 0.9827, net1_test_acc = 0.9050
Epoch: [ 73] [  0/4000] time: 42656.2954, dice0 = 0.03108, cross0 = 0.0326, kl0 = 0.0041, exclusion0 = 0.0321,     dice1 = 0.03734, cross1 = 0.0436, kl1 = 0.0023, exclusion1 = 0.0265
1.2522868
Epoch: [ 73] [ 50/4000] time: 42663.7457, net0_loss = 0.19345, net0_acc = 0.9718, net0_test_acc = 0.8373,     net1_loss = 0.03353, net1_acc = 0.9957, net1_test_acc = 0.9744
Epoch: [ 73] [ 50/4000] time: 42663.7458, dice0 = 0.07197, cross0 = 0.0680, kl0 = 0.0166, exclusion0 = 0.0904,     dice1 = 0.01386, cross1 = 0.0107, kl1 = 0.0013, exclusion1 = 0.0167
1.2577928
Epoch: [ 73] [100/4000] time: 42671.1778, net0_loss = 0.18620, net0_acc = 0.9692, net0_test_acc = 0.9834,     net1_loss = 0.12300, net1_acc = 0.9804, net1_test_acc = 0.8998
Epoch: [ 73] [100/4000] time: 42671.1779, dice0 = 0.07137, cross0 = 0.0802, kl0 = 0.0075, exclusion0 = 0.0618,     dice1 = 0.04516, cross1 = 0.0506, kl1 = 0.0083, exclusion1 = 0.0462
1.3248215
Epoch: [ 73] [150/4000] time: 42678.5174, net0_loss = 0.20749, net0_acc = 0.9664, net0_test_acc = 0.9476,     net1_loss = 0.06732, net1_acc = 0.9896, net1_test_acc = 0.9632
Epoch: [ 73] [150/4000] time: 42678.5175, dice0 = 0.07558, cross0 = 0.0900, kl0 = 0.0125, exclusion0 = 0.0714,     dice1 = 0.02751, cross1 = 0.0242, kl1 = 0.0023, exclusion1 = 0.0289
1.1615885
Epoch: [ 73] [200/4000] time: 42685.9549, net0_loss = 0.16802, net0_acc = 0.9711, net0_test_acc = 0.8974,     net1_loss = 0.06698, net1_acc = 0.9886, net1_test_acc = 0.9129
Epoch: [ 73] [200/4000] time: 42685.9550, dice0 = 0.06383, cross0 = 0.0727, kl0 = 0.0087, exclusion0 = 0.0543,     dice1 = 0.02540, cross1 = 0.0309, kl1 = 0.0017, exclusion1 = 0.0196
1.1116416
Epoch: [ 73] [250/4000] time: 42693.4190, net0_loss = 0.12721, net0_acc = 0.9790, net0_test_acc = 0.9562,     net1_loss = 0.02752, net1_acc = 0.9964, net1_test_acc = 0.8866
Epoch: [ 73] [250/4000] time: 42693.4191, dice0 = 0.04791, cross0 = 0.0529, kl0 = 0.0085, exclusion0 = 0.0444,     dice1 = 0.01085, cross1 = 0.0089, kl1 = 0.0018, exclusion1 = 0.0137
1.2049378
Epoch: [ 73] [300/4000] time: 42700.6887, net0_loss = 0.24462, net0_acc = 0.9654, net0_test_acc = 0.9661,     net1_loss = 0.09163, net1_acc = 0.9872, net1_test_acc = 0.9529
Epoch: [ 73] [300/4000] time: 42700.6888, dice0 = 0.07711, cross0 = 0.1387, kl0 = 0.0072, exclusion0 = 0.0503,     dice1 = 0.03168, cross1 = 0.0394, kl1 = 0.0070, exclusion1 = 0.0342
1.2356696
Epoch: [ 73] [350/4000] time: 42708.2229, net0_loss = 0.18638, net0_acc = 0.9702, net0_test_acc = 0.9352,     net1_loss = 0.09411, net1_acc = 0.9835, net1_test_acc = 0.9524
Epoch: [ 73] [350/4000] time: 42708.2230, dice0 = 0.06333, cross0 = 0.0843, kl0 = 0.0156, exclusion0 = 0.0619,     dice1 = 0.03681, cross1 = 0.0408, kl1 = 0.0031, exclusion1 = 0.0299
1.1141403
Epoch: [ 73] [400/4000] time: 42715.6536, net0_loss = 0.14163, net0_acc = 0.9764, net0_test_acc = 0.9403,     net1_loss = 0.16100, net1_acc = 0.9727, net1_test_acc = 0.7786
Epoch: [ 73] [400/4000] time: 42715.6536, dice0 = 0.05383, cross0 = 0.0583, kl0 = 0.0069, exclusion0 = 0.0520,     dice1 = 0.05992, cross1 = 0.0771, kl1 = 0.0044, exclusion1 = 0.0436
1.15196
Epoch: [ 73] [450/4000] time: 42723.0440, net0_loss = 0.35260, net0_acc = 0.9424, net0_test_acc = 0.8546,     net1_loss = 0.06809, net1_acc = 0.9897, net1_test_acc = 0.8948
Epoch: [ 73] [450/4000] time: 42723.0441, dice0 = 0.11220, cross0 = 0.2044, kl0 = 0.0111, exclusion0 = 0.0610,     dice1 = 0.02681, cross1 = 0.0250, kl1 = 0.0029, exclusion1 = 0.0296
1.2065688
Epoch: [ 73] [500/4000] time: 42730.5140, net0_loss = 0.13330, net0_acc = 0.9795, net0_test_acc = 0.9083,     net1_loss = 0.17826, net1_acc = 0.9707, net1_test_acc = 0.7955
Epoch: [ 73] [500/4000] time: 42730.5141, dice0 = 0.04506, cross0 = 0.0651, kl0 = 0.0088, exclusion0 = 0.0375,     dice1 = 0.06447, cross1 = 0.0770, kl1 = 0.0117, exclusion1 = 0.0618
1.1293681
Epoch: [ 73] [550/4000] time: 42737.8880, net0_loss = 0.10075, net0_acc = 0.9851, net0_test_acc = 0.9362,     net1_loss = 0.13191, net1_acc = 0.9766, net1_test_acc = 0.9332
Epoch: [ 73] [550/4000] time: 42737.8881, dice0 = 0.04063, cross0 = 0.0340, kl0 = 0.0050, exclusion0 = 0.0473,     dice1 = 0.05112, cross1 = 0.0587, kl1 = 0.0038, exclusion1 = 0.0404
1.194541
Epoch: [ 73] [600/4000] time: 42745.2879, net0_loss = 0.16363, net0_acc = 0.9728, net0_test_acc = 0.9332,     net1_loss = 0.22635, net1_acc = 0.9632, net1_test_acc = 0.9433
Epoch: [ 73] [600/4000] time: 42745.2880, dice0 = 0.06062, cross0 = 0.0777, kl0 = 0.0051, exclusion0 = 0.0456,     dice1 = 0.08008, cross1 = 0.0999, kl1 = 0.0166, exclusion1 = 0.0762
1.1163275
Epoch: [ 73] [650/4000] time: 42752.7192, net0_loss = 0.06669, net0_acc = 0.9900, net0_test_acc = 0.9731,     net1_loss = 0.22749, net1_acc = 0.9699, net1_test_acc = 0.9267
Epoch: [ 73] [650/4000] time: 42752.7193, dice0 = 0.02740, cross0 = 0.0241, kl0 = 0.0017, exclusion0 = 0.0287,     dice1 = 0.08571, cross1 = 0.0774, kl1 = 0.0179, exclusion1 = 0.1108
1.203135
Epoch: [ 73] [700/4000] time: 42760.1590, net0_loss = 0.15624, net0_acc = 0.9748, net0_test_acc = 0.8875,     net1_loss = 0.27082, net1_acc = 0.9575, net1_test_acc = 0.8625
Epoch: [ 73] [700/4000] time: 42760.1591, dice0 = 0.05717, cross0 = 0.0714, kl0 = 0.0069, exclusion0 = 0.0484,     dice1 = 0.09671, cross1 = 0.1171, kl1 = 0.0173, exclusion1 = 0.0967
1.120474
Epoch: [ 73] [750/4000] time: 42767.5352, net0_loss = 0.18229, net0_acc = 0.9712, net0_test_acc = 0.9597,     net1_loss = 0.16057, net1_acc = 0.9736, net1_test_acc = 0.9827
Epoch: [ 73] [750/4000] time: 42767.5352, dice0 = 0.07114, cross0 = 0.0665, kl0 = 0.0107, exclusion0 = 0.0785,     dice1 = 0.06041, cross1 = 0.0651, kl1 = 0.0096, exclusion1 = 0.0605
1.2027968
Epoch: [ 73] [800/4000] time: 42774.9645, net0_loss = 0.13914, net0_acc = 0.9776, net0_test_acc = 0.8730,     net1_loss = 0.08949, net1_acc = 0.9888, net1_test_acc = 0.8723
Epoch: [ 73] [800/4000] time: 42774.9646, dice0 = 0.05404, cross0 = 0.0580, kl0 = 0.0065, exclusion0 = 0.0477,     dice1 = 0.03562, cross1 = 0.0280, kl1 = 0.0062, exclusion1 = 0.0455
1.1051207
Epoch: [ 73] [850/4000] time: 42782.3718, net0_loss = 0.10972, net0_acc = 0.9841, net0_test_acc = 0.9254,     net1_loss = 0.14372, net1_acc = 0.9806, net1_test_acc = 0.9094
Epoch: [ 73] [850/4000] time: 42782.3719, dice0 = 0.03835, cross0 = 0.0392, kl0 = 0.0129, exclusion0 = 0.0513,     dice1 = 0.05043, cross1 = 0.0483, kl1 = 0.0177, exclusion1 = 0.0723
1.1272967
Epoch: [ 73] [900/4000] time: 42789.7848, net0_loss = 0.03340, net0_acc = 0.9953, net0_test_acc = 0.9565,     net1_loss = 0.12211, net1_acc = 0.9781, net1_test_acc = 0.9440
Epoch: [ 73] [900/4000] time: 42789.7849, dice0 = 0.01254, cross0 = 0.0140, kl0 = 0.0012, exclusion0 = 0.0125,     dice1 = 0.04513, cross1 = 0.0638, kl1 = 0.0021, exclusion1 = 0.0241
1.1749209
Epoch: [ 73] [950/4000] time: 42797.2439, net0_loss = 0.16333, net0_acc = 0.9739, net0_test_acc = 0.9108,     net1_loss = 0.22103, net1_acc = 0.9650, net1_test_acc = 0.9892
Epoch: [ 73] [950/4000] time: 42797.2440, dice0 = 0.05505, cross0 = 0.0648, kl0 = 0.0249, exclusion0 = 0.0620,     dice1 = 0.08036, cross1 = 0.1034, kl1 = 0.0127, exclusion1 = 0.0618
1.1817139
Epoch: [ 73] [1000/4000] time: 42804.6964, net0_loss = 0.05700, net0_acc = 0.9918, net0_test_acc = 0.9259,     net1_loss = 0.16014, net1_acc = 0.9767, net1_test_acc = 0.7954
Epoch: [ 73] [1000/4000] time: 42804.6964, dice0 = 0.02144, cross0 = 0.0218, kl0 = 0.0036, exclusion0 = 0.0240,     dice1 = 0.05922, cross1 = 0.0579, kl1 = 0.0143, exclusion1 = 0.0717
1.1566784
Epoch: [ 73] [1050/4000] time: 42812.0894, net0_loss = 0.08937, net0_acc = 0.9847, net0_test_acc = 0.8800,     net1_loss = 0.08171, net1_acc = 0.9873, net1_test_acc = 0.9850
Epoch: [ 73] [1050/4000] time: 42812.0895, dice0 = 0.03383, cross0 = 0.0388, kl0 = 0.0039, exclusion0 = 0.0296,     dice1 = 0.03097, cross1 = 0.0347, kl1 = 0.0041, exclusion1 = 0.0280
1.0683042
Epoch: [ 73] [1100/4000] time: 42819.4928, net0_loss = 0.12168, net0_acc = 0.9819, net0_test_acc = 0.9469,     net1_loss = 0.06780, net1_acc = 0.9906, net1_test_acc = 0.9024
Epoch: [ 73] [1100/4000] time: 42819.4929, dice0 = 0.04349, cross0 = 0.0505, kl0 = 0.0102, exclusion0 = 0.0451,     dice1 = 0.02788, cross1 = 0.0240, kl1 = 0.0022, exclusion1 = 0.0296
1.0973486
Epoch: [ 73] [1150/4000] time: 42826.8810, net0_loss = 0.24193, net0_acc = 0.9569, net0_test_acc = 0.8470,     net1_loss = 0.07664, net1_acc = 0.9888, net1_test_acc = 0.9013
Epoch: [ 73] [1150/4000] time: 42826.8811, dice0 = 0.08530, cross0 = 0.1300, kl0 = 0.0058, exclusion0 = 0.0474,     dice1 = 0.02897, cross1 = 0.0257, kl1 = 0.0073, exclusion1 = 0.0368
1.1199872
Epoch: [ 73] [1200/4000] time: 42834.3511, net0_loss = 0.20695, net0_acc = 0.9678, net0_test_acc = 0.8952,     net1_loss = 0.10165, net1_acc = 0.9844, net1_test_acc = 0.7936
Epoch: [ 73] [1200/4000] time: 42834.3511, dice0 = 0.06944, cross0 = 0.0934, kl0 = 0.0201, exclusion0 = 0.0681,     dice1 = 0.04000, cross1 = 0.0390, kl1 = 0.0052, exclusion1 = 0.0401
1.1664964
Epoch: [ 73] [1250/4000] time: 42841.7478, net0_loss = 0.13453, net0_acc = 0.9744, net0_test_acc = 0.9034,     net1_loss = 0.09753, net1_acc = 0.9848, net1_test_acc = 0.9027
Epoch: [ 73] [1250/4000] time: 42841.7479, dice0 = 0.05299, cross0 = 0.0634, kl0 = 0.0022, exclusion0 = 0.0340,     dice1 = 0.03809, cross1 = 0.0369, kl1 = 0.0054, exclusion1 = 0.0398
1.1592009
Epoch: [ 73] [1300/4000] time: 42849.1402, net0_loss = 0.04545, net0_acc = 0.9938, net0_test_acc = 0.9286,     net1_loss = 0.10422, net1_acc = 0.9824, net1_test_acc = 0.9223
Epoch: [ 73] [1300/4000] time: 42849.1403, dice0 = 0.01648, cross0 = 0.0170, kl0 = 0.0035, exclusion0 = 0.0205,     dice1 = 0.04209, cross1 = 0.0417, kl1 = 0.0038, exclusion1 = 0.0371
1.0932877
Epoch: [ 73] [1350/4000] time: 42856.5367, net0_loss = 0.10243, net0_acc = 0.9847, net0_test_acc = 0.9111,     net1_loss = 0.11137, net1_acc = 0.9811, net1_test_acc = 0.9180
Epoch: [ 73] [1350/4000] time: 42856.5368, dice0 = 0.03761, cross0 = 0.0367, kl0 = 0.0089, exclusion0 = 0.0473,     dice1 = 0.04330, cross1 = 0.0511, kl1 = 0.0041, exclusion1 = 0.0299
1.2094575
Epoch: [ 73] [1400/4000] time: 42863.9282, net0_loss = 0.18655, net0_acc = 0.9690, net0_test_acc = 0.9328,     net1_loss = 0.21672, net1_acc = 0.9676, net1_test_acc = 0.9448
Epoch: [ 73] [1400/4000] time: 42863.9282, dice0 = 0.06918, cross0 = 0.0855, kl0 = 0.0076, exclusion0 = 0.0562,     dice1 = 0.07977, cross1 = 0.0948, kl1 = 0.0118, exclusion1 = 0.0726
1.1686287
Epoch: [ 73] [1450/4000] time: 42871.2685, net0_loss = 0.13908, net0_acc = 0.9789, net0_test_acc = 0.9809,     net1_loss = 0.05542, net1_acc = 0.9916, net1_test_acc = 0.9893
Epoch: [ 73] [1450/4000] time: 42871.2686, dice0 = 0.05126, cross0 = 0.0606, kl0 = 0.0063, exclusion0 = 0.0482,     dice1 = 0.02204, cross1 = 0.0192, kl1 = 0.0034, exclusion1 = 0.0250
1.1885931
Epoch: [ 73] [1500/4000] time: 42878.7583, net0_loss = 0.05008, net0_acc = 0.9925, net0_test_acc = 0.9632,     net1_loss = 0.06854, net1_acc = 0.9903, net1_test_acc = 0.9526
Epoch: [ 73] [1500/4000] time: 42878.7583, dice0 = 0.02094, cross0 = 0.0180, kl0 = 0.0013, exclusion0 = 0.0211,     dice1 = 0.02685, cross1 = 0.0232, kl1 = 0.0043, exclusion1 = 0.0326
1.1458094
Epoch: [ 73] [1550/4000] time: 42886.2847, net0_loss = 0.10365, net0_acc = 0.9821, net0_test_acc = 0.9751,     net1_loss = 0.11201, net1_acc = 0.9826, net1_test_acc = 0.9221
Epoch: [ 73] [1550/4000] time: 42886.2848, dice0 = 0.04132, cross0 = 0.0433, kl0 = 0.0037, exclusion0 = 0.0344,     dice1 = 0.04431, cross1 = 0.0431, kl1 = 0.0049, exclusion1 = 0.0442
1.1871146
Epoch: [ 73] [1600/4000] time: 42893.6353, net0_loss = 0.10975, net0_acc = 0.9829, net0_test_acc = 0.8729,     net1_loss = 0.10967, net1_acc = 0.9817, net1_test_acc = 0.9895
Epoch: [ 73] [1600/4000] time: 42893.6353, dice0 = 0.03990, cross0 = 0.0447, kl0 = 0.0086, exclusion0 = 0.0418,     dice1 = 0.04334, cross1 = 0.0451, kl1 = 0.0037, exclusion1 = 0.0386
1.1736038
Epoch: [ 73] [1650/4000] time: 42901.0913, net0_loss = 0.22668, net0_acc = 0.9641, net0_test_acc = 0.9104,     net1_loss = 0.20492, net1_acc = 0.9666, net1_test_acc = 0.9896
Epoch: [ 73] [1650/4000] time: 42901.0914, dice0 = 0.08348, cross0 = 0.0930, kl0 = 0.0152, exclusion0 = 0.0852,     dice1 = 0.07600, cross1 = 0.0825, kl1 = 0.0159, exclusion1 = 0.0770
1.1694133
Epoch: [ 73] [1700/4000] time: 42908.4878, net0_loss = 0.09125, net0_acc = 0.9874, net0_test_acc = 0.9016,     net1_loss = 0.18144, net1_acc = 0.9689, net1_test_acc = 0.9184
Epoch: [ 73] [1700/4000] time: 42908.4879, dice0 = 0.03344, cross0 = 0.0356, kl0 = 0.0058, exclusion0 = 0.0385,     dice1 = 0.06161, cross1 = 0.1063, kl1 = 0.0023, exclusion1 = 0.0248
1.1976395
Epoch: [ 73] [1750/4000] time: 42915.8806, net0_loss = 0.13981, net0_acc = 0.9755, net0_test_acc = 0.9618,     net1_loss = 0.09995, net1_acc = 0.9850, net1_test_acc = 0.9582
Epoch: [ 73] [1750/4000] time: 42915.8806, dice0 = 0.04949, cross0 = 0.0650, kl0 = 0.0102, exclusion0 = 0.0405,     dice1 = 0.03812, cross1 = 0.0389, kl1 = 0.0063, exclusion1 = 0.0396
1.1275169
Epoch: [ 73] [1800/4000] time: 42923.2174, net0_loss = 0.05202, net0_acc = 0.9930, net0_test_acc = 0.7589,     net1_loss = 0.04945, net1_acc = 0.9938, net1_test_acc = 0.8996
Epoch: [ 73] [1800/4000] time: 42923.2175, dice0 = 0.02057, cross0 = 0.0169, kl0 = 0.0033, exclusion0 = 0.0258,     dice1 = 0.01908, cross1 = 0.0156, kl1 = 0.0037, exclusion1 = 0.0259
1.1850643
Epoch: [ 73] [1850/4000] time: 42930.6840, net0_loss = 0.17719, net0_acc = 0.9744, net0_test_acc = 0.8378,     net1_loss = 0.07115, net1_acc = 0.9891, net1_test_acc = 0.8119
Epoch: [ 73] [1850/4000] time: 42930.6841, dice0 = 0.06648, cross0 = 0.0666, kl0 = 0.0148, exclusion0 = 0.0734,     dice1 = 0.02803, cross1 = 0.0257, kl1 = 0.0046, exclusion1 = 0.0302
1.1280329
Epoch: [ 73] [1900/4000] time: 42938.0804, net0_loss = 0.12782, net0_acc = 0.9789, net0_test_acc = 0.9849,     net1_loss = 0.09313, net1_acc = 0.9860, net1_test_acc = 0.9735
Epoch: [ 73] [1900/4000] time: 42938.0804, dice0 = 0.04790, cross0 = 0.0556, kl0 = 0.0065, exclusion0 = 0.0421,     dice1 = 0.03767, cross1 = 0.0335, kl1 = 0.0038, exclusion1 = 0.0402
1.2065966
Epoch: [ 73] [1950/4000] time: 42945.5361, net0_loss = 0.20081, net0_acc = 0.9700, net0_test_acc = 0.9404,     net1_loss = 0.04252, net1_acc = 0.9941, net1_test_acc = 0.9407
Epoch: [ 73] [1950/4000] time: 42945.5361, dice0 = 0.07508, cross0 = 0.0719, kl0 = 0.0182, exclusion0 = 0.0895,     dice1 = 0.01608, cross1 = 0.0179, kl1 = 0.0020, exclusion1 = 0.0151
1.2305723
Epoch: [ 73] [2000/4000] time: 42952.9432, net0_loss = 0.14535, net0_acc = 0.9771, net0_test_acc = 0.9520,     net1_loss = 0.16846, net1_acc = 0.9715, net1_test_acc = 0.9462
Epoch: [ 73] [2000/4000] time: 42952.9433, dice0 = 0.05604, cross0 = 0.0594, kl0 = 0.0051, exclusion0 = 0.0546,     dice1 = 0.05952, cross1 = 0.0890, kl1 = 0.0036, exclusion1 = 0.0364
1.0732888
Epoch: [ 73] [2050/4000] time: 42960.3417, net0_loss = 0.04842, net0_acc = 0.9926, net0_test_acc = 0.9146,     net1_loss = 0.06356, net1_acc = 0.9902, net1_test_acc = 0.9744
Epoch: [ 73] [2050/4000] time: 42960.3418, dice0 = 0.01797, cross0 = 0.0211, kl0 = 0.0020, exclusion0 = 0.0168,     dice1 = 0.02429, cross1 = 0.0294, kl1 = 0.0013, exclusion1 = 0.0185
1.1663713
Epoch: [ 73] [2100/4000] time: 42967.7341, net0_loss = 0.21748, net0_acc = 0.9637, net0_test_acc = 0.9522,     net1_loss = 0.04225, net1_acc = 0.9943, net1_test_acc = 0.9216
Epoch: [ 73] [2100/4000] time: 42967.7341, dice0 = 0.07794, cross0 = 0.1047, kl0 = 0.0096, exclusion0 = 0.0600,     dice1 = 0.01552, cross1 = 0.0151, kl1 = 0.0046, exclusion1 = 0.0187
1.2957363
Epoch: [ 73] [2150/4000] time: 42975.1146, net0_loss = 0.07822, net0_acc = 0.9871, net0_test_acc = 0.9371,     net1_loss = 0.13141, net1_acc = 0.9801, net1_test_acc = 0.9328
Epoch: [ 73] [2150/4000] time: 42975.1147, dice0 = 0.03079, cross0 = 0.0312, kl0 = 0.0028, exclusion0 = 0.0297,     dice1 = 0.05012, cross1 = 0.0533, kl1 = 0.0070, exclusion1 = 0.0489
1.127135
Epoch: [ 73] [2200/4000] time: 42982.6120, net0_loss = 0.17025, net0_acc = 0.9729, net0_test_acc = 0.9724,     net1_loss = 0.11090, net1_acc = 0.9824, net1_test_acc = 0.9114
Epoch: [ 73] [2200/4000] time: 42982.6121, dice0 = 0.06057, cross0 = 0.0852, kl0 = 0.0060, exclusion0 = 0.0430,     dice1 = 0.04281, cross1 = 0.0405, kl1 = 0.0085, exclusion1 = 0.0467
1.2034051
Epoch: [ 73] [2250/4000] time: 42989.9574, net0_loss = 0.16083, net0_acc = 0.9721, net0_test_acc = 0.7650,     net1_loss = 0.08567, net1_acc = 0.9868, net1_test_acc = 0.9444
Epoch: [ 73] [2250/4000] time: 42989.9575, dice0 = 0.05713, cross0 = 0.0770, kl0 = 0.0094, exclusion0 = 0.0439,     dice1 = 0.03429, cross1 = 0.0316, kl1 = 0.0041, exclusion1 = 0.0354
1.2413375
Epoch: [ 73] [2300/4000] time: 42997.3901, net0_loss = 0.17312, net0_acc = 0.9715, net0_test_acc = 0.8885,     net1_loss = 0.15700, net1_acc = 0.9785, net1_test_acc = 0.8204
Epoch: [ 73] [2300/4000] time: 42997.3902, dice0 = 0.06274, cross0 = 0.0792, kl0 = 0.0094, exclusion0 = 0.0530,     dice1 = 0.04861, cross1 = 0.0914, kl1 = 0.0039, exclusion1 = 0.0301
1.2376088
Epoch: [ 73] [2350/4000] time: 43004.7692, net0_loss = 0.06725, net0_acc = 0.9893, net0_test_acc = 0.8894,     net1_loss = 0.08517, net1_acc = 0.9885, net1_test_acc = 0.9680
Epoch: [ 73] [2350/4000] time: 43004.7694, dice0 = 0.02664, cross0 = 0.0236, kl0 = 0.0042, exclusion0 = 0.0299,     dice1 = 0.02800, cross1 = 0.0452, kl1 = 0.0029, exclusion1 = 0.0210
1.1721098
Epoch: [ 73] [2400/4000] time: 43012.2041, net0_loss = 0.11833, net0_acc = 0.9796, net0_test_acc = 0.9171,     net1_loss = 0.19644, net1_acc = 0.9654, net1_test_acc = 0.9792
Epoch: [ 73] [2400/4000] time: 43012.2042, dice0 = 0.04560, cross0 = 0.0520, kl0 = 0.0045, exclusion0 = 0.0370,     dice1 = 0.06909, cross1 = 0.1010, kl1 = 0.0085, exclusion1 = 0.0442
1.0829858
Epoch: [ 73] [2450/4000] time: 43019.5567, net0_loss = 0.15049, net0_acc = 0.9786, net0_test_acc = 0.9117,     net1_loss = 0.09399, net1_acc = 0.9832, net1_test_acc = 0.9462
Epoch: [ 73] [2450/4000] time: 43019.5567, dice0 = 0.05679, cross0 = 0.0581, kl0 = 0.0094, exclusion0 = 0.0618,     dice1 = 0.03429, cross1 = 0.0501, kl1 = 0.0021, exclusion1 = 0.0170
1.2089679
Epoch: [ 73] [2500/4000] time: 43026.9948, net0_loss = 0.14411, net0_acc = 0.9742, net0_test_acc = 0.9556,     net1_loss = 0.17800, net1_acc = 0.9698, net1_test_acc = 0.9017
Epoch: [ 73] [2500/4000] time: 43026.9949, dice0 = 0.05546, cross0 = 0.0659, kl0 = 0.0044, exclusion0 = 0.0411,     dice1 = 0.06776, cross1 = 0.0763, kl1 = 0.0082, exclusion1 = 0.0597
1.1276715
Epoch: [ 73] [2550/4000] time: 43034.4296, net0_loss = 0.09114, net0_acc = 0.9877, net0_test_acc = 0.7420,     net1_loss = 0.07938, net1_acc = 0.9901, net1_test_acc = 0.8178
Epoch: [ 73] [2550/4000] time: 43034.4296, dice0 = 0.03126, cross0 = 0.0423, kl0 = 0.0045, exclusion0 = 0.0306,     dice1 = 0.02926, cross1 = 0.0280, kl1 = 0.0077, exclusion1 = 0.0365
1.2680056
Epoch: [ 73] [2600/4000] time: 43041.7861, net0_loss = 0.10834, net0_acc = 0.9818, net0_test_acc = 0.8209,     net1_loss = 0.11859, net1_acc = 0.9833, net1_test_acc = 0.8226
Epoch: [ 73] [2600/4000] time: 43041.7862, dice0 = 0.04113, cross0 = 0.0497, kl0 = 0.0028, exclusion0 = 0.0321,     dice1 = 0.04405, cross1 = 0.0391, kl1 = 0.0119, exclusion1 = 0.0591
1.1185114
Epoch: [ 73] [2650/4000] time: 43049.1906, net0_loss = 0.27197, net0_acc = 0.9558, net0_test_acc = 0.9761,     net1_loss = 0.02611, net1_acc = 0.9965, net1_test_acc = 0.9503
Epoch: [ 73] [2650/4000] time: 43049.1906, dice0 = 0.09201, cross0 = 0.1390, kl0 = 0.0138, exclusion0 = 0.0681,     dice1 = 0.01079, cross1 = 0.0088, kl1 = 0.0008, exclusion1 = 0.0122
1.1868317
Epoch: [ 73] [2700/4000] time: 43056.5985, net0_loss = 0.18000, net0_acc = 0.9714, net0_test_acc = 0.9888,     net1_loss = 0.05753, net1_acc = 0.9916, net1_test_acc = 0.9539
Epoch: [ 73] [2700/4000] time: 43056.5986, dice0 = 0.06086, cross0 = 0.0901, kl0 = 0.0112, exclusion0 = 0.0468,     dice1 = 0.02284, cross1 = 0.0214, kl1 = 0.0019, exclusion1 = 0.0247
1.20011
Epoch: [ 73] [2750/4000] time: 43064.0048, net0_loss = 0.16196, net0_acc = 0.9731, net0_test_acc = 0.9451,     net1_loss = 0.17803, net1_acc = 0.9722, net1_test_acc = 0.8902
Epoch: [ 73] [2750/4000] time: 43064.0049, dice0 = 0.06174, cross0 = 0.0691, kl0 = 0.0077, exclusion0 = 0.0545,     dice1 = 0.06939, cross1 = 0.0683, kl1 = 0.0092, exclusion1 = 0.0715
1.1345712
Epoch: [ 73] [2800/4000] time: 43071.3810, net0_loss = 0.21340, net0_acc = 0.9685, net0_test_acc = 0.9802,     net1_loss = 0.15742, net1_acc = 0.9743, net1_test_acc = 0.9209
Epoch: [ 73] [2800/4000] time: 43071.3810, dice0 = 0.07969, cross0 = 0.0759, kl0 = 0.0185, exclusion0 = 0.0970,     dice1 = 0.05905, cross1 = 0.0591, kl1 = 0.0135, exclusion1 = 0.0651
1.1418904
Epoch: [ 73] [2850/4000] time: 43078.8133, net0_loss = 0.14517, net0_acc = 0.9807, net0_test_acc = 0.9459,     net1_loss = 0.16595, net1_acc = 0.9749, net1_test_acc = 0.9653
Epoch: [ 73] [2850/4000] time: 43078.8134, dice0 = 0.05588, cross0 = 0.0474, kl0 = 0.0108, exclusion0 = 0.0730,     dice1 = 0.06447, cross1 = 0.0611, kl1 = 0.0095, exclusion1 = 0.0712
1.1676697
Epoch: [ 73] [2900/4000] time: 43086.2046, net0_loss = 0.18830, net0_acc = 0.9718, net0_test_acc = 0.9431,     net1_loss = 0.28308, net1_acc = 0.9597, net1_test_acc = 0.9819
Epoch: [ 73] [2900/4000] time: 43086.2047, dice0 = 0.06227, cross0 = 0.0981, kl0 = 0.0089, exclusion0 = 0.0470,     dice1 = 0.08299, cross1 = 0.1508, kl1 = 0.0250, exclusion1 = 0.0737
1.1161788
Epoch: [ 73] [2950/4000] time: 43093.5903, net0_loss = 0.08416, net0_acc = 0.9856, net0_test_acc = 0.8634,     net1_loss = 0.10666, net1_acc = 0.9828, net1_test_acc = 0.9544
Epoch: [ 73] [2950/4000] time: 43093.5903, dice0 = 0.03359, cross0 = 0.0354, kl0 = 0.0022, exclusion0 = 0.0281,     dice1 = 0.04177, cross1 = 0.0457, kl1 = 0.0028, exclusion1 = 0.0356
1.1285799
Epoch: [ 73] [3000/4000] time: 43101.0237, net0_loss = 0.07397, net0_acc = 0.9874, net0_test_acc = 0.9010,     net1_loss = 0.05644, net1_acc = 0.9907, net1_test_acc = 0.9628
Epoch: [ 73] [3000/4000] time: 43101.0237, dice0 = 0.02906, cross0 = 0.0331, kl0 = 0.0016, exclusion0 = 0.0221,     dice1 = 0.02263, cross1 = 0.0226, kl1 = 0.0018, exclusion1 = 0.0207
1.1136303
Epoch: [ 73] [3050/4000] time: 43108.3852, net0_loss = 0.13664, net0_acc = 0.9832, net0_test_acc = 0.9611,     net1_loss = 0.21954, net1_acc = 0.9637, net1_test_acc = 0.9598
Epoch: [ 73] [3050/4000] time: 43108.3853, dice0 = 0.03766, cross0 = 0.0749, kl0 = 0.0125, exclusion0 = 0.0357,     dice1 = 0.07953, cross1 = 0.1026, kl1 = 0.0098, exclusion1 = 0.0649
1.1155835
Epoch: [ 73] [3100/4000] time: 43115.8017, net0_loss = 0.18192, net0_acc = 0.9677, net0_test_acc = 0.9195,     net1_loss = 0.13936, net1_acc = 0.9764, net1_test_acc = 0.9742
Epoch: [ 73] [3100/4000] time: 43115.8017, dice0 = 0.06782, cross0 = 0.0875, kl0 = 0.0060, exclusion0 = 0.0471,     dice1 = 0.05213, cross1 = 0.0651, kl1 = 0.0046, exclusion1 = 0.0396
1.1880186
Epoch: [ 73] [3150/4000] time: 43123.2044, net0_loss = 0.07789, net0_acc = 0.9879, net0_test_acc = 0.9815,     net1_loss = 0.07311, net1_acc = 0.9886, net1_test_acc = 0.9512
Epoch: [ 73] [3150/4000] time: 43123.2045, dice0 = 0.02996, cross0 = 0.0294, kl0 = 0.0042, exclusion0 = 0.0328,     dice1 = 0.02910, cross1 = 0.0281, kl1 = 0.0025, exclusion1 = 0.0292
1.1314381
Epoch: [ 73] [3200/4000] time: 43130.5620, net0_loss = 0.11694, net0_acc = 0.9830, net0_test_acc = 0.7312,     net1_loss = 0.15896, net1_acc = 0.9728, net1_test_acc = 0.9195
Epoch: [ 73] [3200/4000] time: 43130.5621, dice0 = 0.04228, cross0 = 0.0434, kl0 = 0.0111, exclusion0 = 0.0515,     dice1 = 0.06083, cross1 = 0.0693, kl1 = 0.0063, exclusion1 = 0.0514
1.277483
Epoch: [ 73] [3250/4000] time: 43137.9881, net0_loss = 0.17547, net0_acc = 0.9743, net0_test_acc = 0.9218,     net1_loss = 0.08878, net1_acc = 0.9870, net1_test_acc = 0.9404
Epoch: [ 73] [3250/4000] time: 43137.9881, dice0 = 0.06417, cross0 = 0.0701, kl0 = 0.0117, exclusion0 = 0.0707,     dice1 = 0.03381, cross1 = 0.0314, kl1 = 0.0067, exclusion1 = 0.0406
1.2340832
Epoch: [ 73] [3300/4000] time: 43145.4121, net0_loss = 0.11124, net0_acc = 0.9820, net0_test_acc = 0.9239,     net1_loss = 0.14853, net1_acc = 0.9751, net1_test_acc = 0.9538
Epoch: [ 73] [3300/4000] time: 43145.4121, dice0 = 0.03946, cross0 = 0.0534, kl0 = 0.0062, exclusion0 = 0.0305,     dice1 = 0.05727, cross1 = 0.0666, kl1 = 0.0045, exclusion1 = 0.0448
1.1473526
Epoch: [ 73] [3350/4000] time: 43152.7726, net0_loss = 0.17253, net0_acc = 0.9702, net0_test_acc = 0.9417,     net1_loss = 0.16367, net1_acc = 0.9732, net1_test_acc = 0.9215
Epoch: [ 73] [3350/4000] time: 43152.7727, dice0 = 0.06599, cross0 = 0.0738, kl0 = 0.0080, exclusion0 = 0.0575,     dice1 = 0.06277, cross1 = 0.0672, kl1 = 0.0072, exclusion1 = 0.0601
1.214415
Epoch: [ 73] [3400/4000] time: 43160.1994, net0_loss = 0.18562, net0_acc = 0.9710, net0_test_acc = 0.8120,     net1_loss = 0.13905, net1_acc = 0.9756, net1_test_acc = 0.9188
Epoch: [ 73] [3400/4000] time: 43160.1995, dice0 = 0.06687, cross0 = 0.0755, kl0 = 0.0147, exclusion0 = 0.0717,     dice1 = 0.05231, cross1 = 0.0657, kl1 = 0.0041, exclusion1 = 0.0380
1.186742
Epoch: [ 73] [3450/4000] time: 43167.6123, net0_loss = 0.17781, net0_acc = 0.9703, net0_test_acc = 0.9148,     net1_loss = 0.05760, net1_acc = 0.9920, net1_test_acc = 0.8785
Epoch: [ 73] [3450/4000] time: 43167.6124, dice0 = 0.06950, cross0 = 0.0698, kl0 = 0.0089, exclusion0 = 0.0680,     dice1 = 0.02152, cross1 = 0.0190, kl1 = 0.0048, exclusion1 = 0.0293
1.1422219
Epoch: [ 73] [3500/4000] time: 43175.1074, net0_loss = 0.11111, net0_acc = 0.9834, net0_test_acc = 0.9583,     net1_loss = 0.11438, net1_acc = 0.9814, net1_test_acc = 0.9375
Epoch: [ 73] [3500/4000] time: 43175.1074, dice0 = 0.03947, cross0 = 0.0513, kl0 = 0.0054, exclusion0 = 0.0354,     dice1 = 0.04313, cross1 = 0.0460, kl1 = 0.0079, exclusion1 = 0.0426
1.1177781
Epoch: [ 73] [3550/4000] time: 43182.4692, net0_loss = 0.06167, net0_acc = 0.9893, net0_test_acc = 0.8309,     net1_loss = 0.19507, net1_acc = 0.9664, net1_test_acc = 0.9415
Epoch: [ 73] [3550/4000] time: 43182.4692, dice0 = 0.02380, cross0 = 0.0285, kl0 = 0.0016, exclusion0 = 0.0172,     dice1 = 0.07377, cross1 = 0.0922, kl1 = 0.0049, exclusion1 = 0.0534
1.1785843
Epoch: [ 73] [3600/4000] time: 43189.8788, net0_loss = 0.24296, net0_acc = 0.9583, net0_test_acc = 0.9632,     net1_loss = 0.08958, net1_acc = 0.9876, net1_test_acc = 0.9537
Epoch: [ 73] [3600/4000] time: 43189.8788, dice0 = 0.09035, cross0 = 0.1043, kl0 = 0.0130, exclusion0 = 0.0836,     dice1 = 0.03104, cross1 = 0.0380, kl1 = 0.0092, exclusion1 = 0.0319
1.1080112
Epoch: [ 73] [3650/4000] time: 43197.2610, net0_loss = 0.16114, net0_acc = 0.9752, net0_test_acc = 0.9557,     net1_loss = 0.35065, net1_acc = 0.9421, net1_test_acc = 0.9893
Epoch: [ 73] [3650/4000] time: 43197.2610, dice0 = 0.05777, cross0 = 0.0609, kl0 = 0.0162, exclusion0 = 0.0688,     dice1 = 0.12534, cross1 = 0.1521, kl1 = 0.0221, exclusion1 = 0.1243
1.1435947
Epoch: [ 73] [3700/4000] time: 43204.6775, net0_loss = 0.16757, net0_acc = 0.9714, net0_test_acc = 0.9604,     net1_loss = 0.09683, net1_acc = 0.9859, net1_test_acc = 0.9078
Epoch: [ 73] [3700/4000] time: 43204.6775, dice0 = 0.05917, cross0 = 0.0848, kl0 = 0.0072, exclusion0 = 0.0400,     dice1 = 0.03812, cross1 = 0.0359, kl1 = 0.0065, exclusion1 = 0.0391
1.1443362
Epoch: [ 73] [3750/4000] time: 43212.0728, net0_loss = 0.20488, net0_acc = 0.9698, net0_test_acc = 0.8647,     net1_loss = 0.12519, net1_acc = 0.9797, net1_test_acc = 0.9166
Epoch: [ 73] [3750/4000] time: 43212.0729, dice0 = 0.08072, cross0 = 0.0720, kl0 = 0.0113, exclusion0 = 0.0931,     dice1 = 0.04588, cross1 = 0.0504, kl1 = 0.0100, exclusion1 = 0.0478
1.2204586
Epoch: [ 73] [3800/4000] time: 43219.4672, net0_loss = 0.11513, net0_acc = 0.9821, net0_test_acc = 0.8092,     net1_loss = 0.04796, net1_acc = 0.9935, net1_test_acc = 0.9617
Epoch: [ 73] [3800/4000] time: 43219.4673, dice0 = 0.04119, cross0 = 0.0518, kl0 = 0.0068, exclusion0 = 0.0375,     dice1 = 0.01943, cross1 = 0.0167, kl1 = 0.0020, exclusion1 = 0.0216
1.3241267
Epoch: [ 73] [3850/4000] time: 43226.8827, net0_loss = 0.22542, net0_acc = 0.9651, net0_test_acc = 0.9798,     net1_loss = 0.15502, net1_acc = 0.9739, net1_test_acc = 0.9110
Epoch: [ 73] [3850/4000] time: 43226.8827, dice0 = 0.07637, cross0 = 0.0992, kl0 = 0.0201, exclusion0 = 0.0796,     dice1 = 0.05597, cross1 = 0.0813, kl1 = 0.0028, exclusion1 = 0.0328
1.167086
Epoch: [ 73] [3900/4000] time: 43234.2880, net0_loss = 0.11220, net0_acc = 0.9841, net0_test_acc = 0.9435,     net1_loss = 0.22568, net1_acc = 0.9682, net1_test_acc = 0.9655
Epoch: [ 73] [3900/4000] time: 43234.2881, dice0 = 0.04082, cross0 = 0.0381, kl0 = 0.0113, exclusion0 = 0.0553,     dice1 = 0.07512, cross1 = 0.0878, kl1 = 0.0313, exclusion1 = 0.0942
1.1713723
Epoch: [ 73] [3950/4000] time: 43241.6436, net0_loss = 0.09355, net0_acc = 0.9859, net0_test_acc = 0.8954,     net1_loss = 0.12021, net1_acc = 0.9813, net1_test_acc = 0.9309
Epoch: [ 73] [3950/4000] time: 43241.6436, dice0 = 0.03538, cross0 = 0.0366, kl0 = 0.0047, exclusion0 = 0.0385,     dice1 = 0.04552, cross1 = 0.0451, kl1 = 0.0087, exclusion1 = 0.0504
1.1254956
Epoch: [ 74] [  0/4000] time: 43249.0626, net0_loss = 0.16007, net0_acc = 0.9725, net0_test_acc = 0.9485,     net1_loss = 0.07038, net1_acc = 0.9921, net1_test_acc = 0.8950
Epoch: [ 74] [  0/4000] time: 43249.0627, dice0 = 0.06031, cross0 = 0.0757, kl0 = 0.0042, exclusion0 = 0.0440,     dice1 = 0.02352, cross1 = 0.0257, kl1 = 0.0084, exclusion1 = 0.0339
1.1752651
Epoch: [ 74] [ 50/4000] time: 43256.4678, net0_loss = 0.07855, net0_acc = 0.9872, net0_test_acc = 0.9730,     net1_loss = 0.11927, net1_acc = 0.9816, net1_test_acc = 0.9490
Epoch: [ 74] [ 50/4000] time: 43256.4678, dice0 = 0.03166, cross0 = 0.0315, kl0 = 0.0023, exclusion0 = 0.0285,     dice1 = 0.04474, cross1 = 0.0536, kl1 = 0.0043, exclusion1 = 0.0376
1.1568599
Epoch: [ 74] [100/4000] time: 43263.8747, net0_loss = 0.09676, net0_acc = 0.9865, net0_test_acc = 0.8956,     net1_loss = 0.08347, net1_acc = 0.9867, net1_test_acc = 0.9428
Epoch: [ 74] [100/4000] time: 43263.8747, dice0 = 0.03508, cross0 = 0.0345, kl0 = 0.0097, exclusion0 = 0.0446,     dice1 = 0.03152, cross1 = 0.0322, kl1 = 0.0073, exclusion1 = 0.0321
1.1125271
Epoch: [ 74] [150/4000] time: 43271.2859, net0_loss = 0.16655, net0_acc = 0.9724, net0_test_acc = 0.9375,     net1_loss = 0.12919, net1_acc = 0.9785, net1_test_acc = 0.7772
Epoch: [ 74] [150/4000] time: 43271.2860, dice0 = 0.06089, cross0 = 0.0754, kl0 = 0.0096, exclusion0 = 0.0510,     dice1 = 0.04792, cross1 = 0.0530, kl1 = 0.0095, exclusion1 = 0.0469
1.2167654
Epoch: [ 74] [200/4000] time: 43278.6927, net0_loss = 0.05896, net0_acc = 0.9925, net0_test_acc = 0.8609,     net1_loss = 0.09802, net1_acc = 0.9822, net1_test_acc = 0.8957
Epoch: [ 74] [200/4000] time: 43278.6928, dice0 = 0.02288, cross0 = 0.0187, kl0 = 0.0043, exclusion0 = 0.0306,     dice1 = 0.03833, cross1 = 0.0442, kl1 = 0.0032, exclusion1 = 0.0278
1.1284409
Epoch: [ 74] [250/4000] time: 43286.1149, net0_loss = 0.11176, net0_acc = 0.9840, net0_test_acc = 0.9124,     net1_loss = 0.19774, net1_acc = 0.9647, net1_test_acc = 0.8245
Epoch: [ 74] [250/4000] time: 43286.1150, dice0 = 0.04092, cross0 = 0.0362, kl0 = 0.0112, exclusion0 = 0.0582,     dice1 = 0.07493, cross1 = 0.0904, kl1 = 0.0057, exclusion1 = 0.0591
1.1018094
Epoch: [ 74] [300/4000] time: 43293.5073, net0_loss = 0.16521, net0_acc = 0.9756, net0_test_acc = 0.9233,     net1_loss = 0.10614, net1_acc = 0.9831, net1_test_acc = 0.9350
Epoch: [ 74] [300/4000] time: 43293.5074, dice0 = 0.05303, cross0 = 0.0901, kl0 = 0.0070, exclusion0 = 0.0371,     dice1 = 0.04201, cross1 = 0.0406, kl1 = 0.0043, exclusion1 = 0.0427
1.0444082
Epoch: [ 74] [350/4000] time: 43300.8749, net0_loss = 0.26302, net0_acc = 0.9569, net0_test_acc = 0.9324,     net1_loss = 0.18462, net1_acc = 0.9684, net1_test_acc = 0.9481
Epoch: [ 74] [350/4000] time: 43300.8750, dice0 = 0.09866, cross0 = 0.1185, kl0 = 0.0099, exclusion0 = 0.0819,     dice1 = 0.06725, cross1 = 0.0927, kl1 = 0.0058, exclusion1 = 0.0436
1.1891466
Epoch: [ 74] [400/4000] time: 43308.3402, net0_loss = 0.17007, net0_acc = 0.9692, net0_test_acc = 0.9677,     net1_loss = 0.05292, net1_acc = 0.9928, net1_test_acc = 0.9267
Epoch: [ 74] [400/4000] time: 43308.3403, dice0 = 0.06375, cross0 = 0.0811, kl0 = 0.0049, exclusion0 = 0.0455,     dice1 = 0.02067, cross1 = 0.0170, kl1 = 0.0042, exclusion1 = 0.0262
1.1344655
Epoch: [ 74] [450/4000] time: 43315.7292, net0_loss = 0.12539, net0_acc = 0.9806, net0_test_acc = 0.9072,     net1_loss = 0.14517, net1_acc = 0.9771, net1_test_acc = 0.8683
Epoch: [ 74] [450/4000] time: 43315.7292, dice0 = 0.04741, cross0 = 0.0492, kl0 = 0.0095, exclusion0 = 0.0482,     dice1 = 0.05376, cross1 = 0.0556, kl1 = 0.0114, exclusion1 = 0.0602
1.1043907
Epoch: [ 74] [500/4000] time: 43323.1591, net0_loss = 0.24855, net0_acc = 0.9634, net0_test_acc = 0.9593,     net1_loss = 0.13955, net1_acc = 0.9762, net1_test_acc = 0.9808
Epoch: [ 74] [500/4000] time: 43323.1592, dice0 = 0.08823, cross0 = 0.0874, kl0 = 0.0287, exclusion0 = 0.1172,     dice1 = 0.05239, cross1 = 0.0628, kl1 = 0.0057, exclusion1 = 0.0430
1.1780138
Epoch: [ 74] [550/4000] time: 43330.5693, net0_loss = 0.19409, net0_acc = 0.9680, net0_test_acc = 0.8727,     net1_loss = 0.10150, net1_acc = 0.9842, net1_test_acc = 0.8438
Epoch: [ 74] [550/4000] time: 43330.5694, dice0 = 0.07495, cross0 = 0.0777, kl0 = 0.0093, exclusion0 = 0.0735,     dice1 = 0.03906, cross1 = 0.0408, kl1 = 0.0057, exclusion1 = 0.0376
1.0903902
Epoch: [ 74] [600/4000] time: 43337.9865, net0_loss = 0.11087, net0_acc = 0.9832, net0_test_acc = 0.9251,     net1_loss = 0.08449, net1_acc = 0.9864, net1_test_acc = 0.9041
Epoch: [ 74] [600/4000] time: 43337.9866, dice0 = 0.04489, cross0 = 0.0402, kl0 = 0.0040, exclusion0 = 0.0476,     dice1 = 0.03039, cross1 = 0.0427, kl1 = 0.0019, exclusion1 = 0.0209
1.1127791
Epoch: [ 74] [650/4000] time: 43345.3980, net0_loss = 0.14522, net0_acc = 0.9786, net0_test_acc = 0.9579,     net1_loss = 0.24851, net1_acc = 0.9646, net1_test_acc = 0.9469
Epoch: [ 74] [650/4000] time: 43345.3980, dice0 = 0.05992, cross0 = 0.0511, kl0 = 0.0036, exclusion0 = 0.0648,     dice1 = 0.08585, cross1 = 0.0950, kl1 = 0.0249, exclusion1 = 0.1105
1.2727822
Epoch: [ 74] [700/4000] time: 43352.8074, net0_loss = 0.19448, net0_acc = 0.9676, net0_test_acc = 0.9237,     net1_loss = 0.11442, net1_acc = 0.9810, net1_test_acc = 0.9904
Epoch: [ 74] [700/4000] time: 43352.8074, dice0 = 0.07472, cross0 = 0.0820, kl0 = 0.0096, exclusion0 = 0.0659,     dice1 = 0.04456, cross1 = 0.0457, kl1 = 0.0056, exclusion1 = 0.0428
1.0725348
Epoch: [ 74] [750/4000] time: 43360.2486, net0_loss = 0.10988, net0_acc = 0.9814, net0_test_acc = 0.9539,     net1_loss = 0.21574, net1_acc = 0.9660, net1_test_acc = 0.7939
Epoch: [ 74] [750/4000] time: 43360.2487, dice0 = 0.04384, cross0 = 0.0462, kl0 = 0.0030, exclusion0 = 0.0368,     dice1 = 0.07858, cross1 = 0.0950, kl1 = 0.0116, exclusion1 = 0.0727
1.1125822
Epoch: [ 74] [800/4000] time: 43367.6364, net0_loss = 0.04838, net0_acc = 0.9931, net0_test_acc = 0.8796,     net1_loss = 0.03786, net1_acc = 0.9943, net1_test_acc = 0.9857
Epoch: [ 74] [800/4000] time: 43367.6365, dice0 = 0.01996, cross0 = 0.0166, kl0 = 0.0016, exclusion0 = 0.0221,     dice1 = 0.01472, cross1 = 0.0147, kl1 = 0.0014, exclusion1 = 0.0155
1.1713378
Epoch: [ 74] [850/4000] time: 43375.0177, net0_loss = 0.15088, net0_acc = 0.9750, net0_test_acc = 0.9295,     net1_loss = 0.21281, net1_acc = 0.9709, net1_test_acc = 0.9125
Epoch: [ 74] [850/4000] time: 43375.0178, dice0 = 0.05672, cross0 = 0.0661, kl0 = 0.0058, exclusion0 = 0.0503,     dice1 = 0.07470, cross1 = 0.0686, kl1 = 0.0283, exclusion1 = 0.1108
1.083687
Epoch: [ 74] [900/4000] time: 43382.4707, net0_loss = 0.08031, net0_acc = 0.9873, net0_test_acc = 0.8714,     net1_loss = 0.07442, net1_acc = 0.9890, net1_test_acc = 0.9078
Epoch: [ 74] [900/4000] time: 43382.4708, dice0 = 0.02944, cross0 = 0.0363, kl0 = 0.0036, exclusion0 = 0.0255,     dice1 = 0.03031, cross1 = 0.0261, kl1 = 0.0026, exclusion1 = 0.0335
1.114817
Epoch: [ 74] [950/4000] time: 43389.8844, net0_loss = 0.18036, net0_acc = 0.9720, net0_test_acc = 0.9090,     net1_loss = 0.12965, net1_acc = 0.9772, net1_test_acc = 0.8478
Epoch: [ 74] [950/4000] time: 43389.8845, dice0 = 0.06898, cross0 = 0.0680, kl0 = 0.0123, exclusion0 = 0.0744,     dice1 = 0.04999, cross1 = 0.0570, kl1 = 0.0053, exclusion1 = 0.0400
1.2164556
Epoch: [ 74] [1000/4000] time: 43397.3262, net0_loss = 0.20784, net0_acc = 0.9636, net0_test_acc = 0.9072,     net1_loss = 0.24025, net1_acc = 0.9635, net1_test_acc = 0.9335
Epoch: [ 74] [1000/4000] time: 43397.3263, dice0 = 0.07269, cross0 = 0.1118, kl0 = 0.0059, exclusion0 = 0.0408,     dice1 = 0.07390, cross1 = 0.1274, kl1 = 0.0158, exclusion1 = 0.0622
1.1218463
Epoch: [ 74] [1050/4000] time: 43404.6792, net0_loss = 0.07496, net0_acc = 0.9878, net0_test_acc = 0.9284,     net1_loss = 0.14688, net1_acc = 0.9773, net1_test_acc = 0.9201
Epoch: [ 74] [1050/4000] time: 43404.6793, dice0 = 0.02796, cross0 = 0.0324, kl0 = 0.0039, exclusion0 = 0.0254,     dice1 = 0.05641, cross1 = 0.0552, kl1 = 0.0081, exclusion1 = 0.0625
1.153135
Epoch: [ 74] [1100/4000] time: 43412.1082, net0_loss = 0.16796, net0_acc = 0.9740, net0_test_acc = 0.9082,     net1_loss = 0.11194, net1_acc = 0.9827, net1_test_acc = 0.9230
Epoch: [ 74] [1100/4000] time: 43412.1083, dice0 = 0.06662, cross0 = 0.0601, kl0 = 0.0099, exclusion0 = 0.0726,     dice1 = 0.04417, cross1 = 0.0412, kl1 = 0.0070, exclusion1 = 0.0460
1.1669838
Epoch: [ 74] [1150/4000] time: 43419.5334, net0_loss = 0.15890, net0_acc = 0.9733, net0_test_acc = 0.9431,     net1_loss = 0.16988, net1_acc = 0.9730, net1_test_acc = 0.9393
Epoch: [ 74] [1150/4000] time: 43419.5334, dice0 = 0.05948, cross0 = 0.0728, kl0 = 0.0057, exclusion0 = 0.0476,     dice1 = 0.06465, cross1 = 0.0663, kl1 = 0.0103, exclusion1 = 0.0676
1.2318645
Epoch: [ 74] [1200/4000] time: 43426.8742, net0_loss = 0.05434, net0_acc = 0.9927, net0_test_acc = 0.9808,     net1_loss = 0.15478, net1_acc = 0.9763, net1_test_acc = 0.9880
Epoch: [ 74] [1200/4000] time: 43426.8743, dice0 = 0.02249, cross0 = 0.0182, kl0 = 0.0018, exclusion0 = 0.0255,     dice1 = 0.05528, cross1 = 0.0591, kl1 = 0.0133, exclusion1 = 0.0675
1.1791908
Epoch: [ 74] [1250/4000] time: 43434.3530, net0_loss = 0.24672, net0_acc = 0.9609, net0_test_acc = 0.9664,     net1_loss = 0.14692, net1_acc = 0.9773, net1_test_acc = 0.9574
Epoch: [ 74] [1250/4000] time: 43434.3531, dice0 = 0.08692, cross0 = 0.1114, kl0 = 0.0180, exclusion0 = 0.0788,     dice1 = 0.05765, cross1 = 0.0582, kl1 = 0.0061, exclusion1 = 0.0560
1.1127737
Epoch: [ 74] [1300/4000] time: 43441.7303, net0_loss = 0.07475, net0_acc = 0.9869, net0_test_acc = 0.9765,     net1_loss = 0.22485, net1_acc = 0.9631, net1_test_acc = 0.9185
Epoch: [ 74] [1300/4000] time: 43441.7304, dice0 = 0.02730, cross0 = 0.0383, kl0 = 0.0020, exclusion0 = 0.0163,     dice1 = 0.08581, cross1 = 0.0970, kl1 = 0.0078, exclusion1 = 0.0763
1.1665012
Epoch: [ 74] [1350/4000] time: 43449.1325, net0_loss = 0.12936, net0_acc = 0.9759, net0_test_acc = 0.8921,     net1_loss = 0.21523, net1_acc = 0.9619, net1_test_acc = 0.9880
Epoch: [ 74] [1350/4000] time: 43449.1326, dice0 = 0.05020, cross0 = 0.0603, kl0 = 0.0031, exclusion0 = 0.0347,     dice1 = 0.08078, cross1 = 0.1026, kl1 = 0.0068, exclusion1 = 0.0569
1.1312497
Epoch: [ 74] [1400/4000] time: 43456.5862, net0_loss = 0.12782, net0_acc = 0.9780, net0_test_acc = 0.9052,     net1_loss = 0.17320, net1_acc = 0.9734, net1_test_acc = 0.9899
Epoch: [ 74] [1400/4000] time: 43456.5862, dice0 = 0.04746, cross0 = 0.0643, kl0 = 0.0021, exclusion0 = 0.0301,     dice1 = 0.06037, cross1 = 0.0783, kl1 = 0.0125, exclusion1 = 0.0565
1.2492857
Epoch: [ 74] [1450/4000] time: 43463.9826, net0_loss = 0.13913, net0_acc = 0.9787, net0_test_acc = 0.9194,     net1_loss = 0.15402, net1_acc = 0.9738, net1_test_acc = 0.9120
Epoch: [ 74] [1450/4000] time: 43463.9827, dice0 = 0.05442, cross0 = 0.0520, kl0 = 0.0075, exclusion0 = 0.0580,     dice1 = 0.05741, cross1 = 0.0671, kl1 = 0.0076, exclusion1 = 0.0514
1.27614
Epoch: [ 74] [1500/4000] time: 43471.3936, net0_loss = 0.02438, net0_acc = 0.9968, net0_test_acc = 0.9682,     net1_loss = 0.12497, net1_acc = 0.9796, net1_test_acc = 0.9588
Epoch: [ 74] [1500/4000] time: 43471.3937, dice0 = 0.00949, cross0 = 0.0083, kl0 = 0.0010, exclusion0 = 0.0122,     dice1 = 0.04908, cross1 = 0.0504, kl1 = 0.0059, exclusion1 = 0.0451
1.1784899
Epoch: [ 74] [1550/4000] time: 43478.6656, net0_loss = 0.14327, net0_acc = 0.9769, net0_test_acc = 0.7437,     net1_loss = 0.09211, net1_acc = 0.9846, net1_test_acc = 0.9002
Epoch: [ 74] [1550/4000] time: 43478.6657, dice0 = 0.05124, cross0 = 0.0663, kl0 = 0.0091, exclusion0 = 0.0425,     dice1 = 0.03630, cross1 = 0.0395, kl1 = 0.0033, exclusion1 = 0.0294
1.1311462
Epoch: [ 74] [1600/4000] time: 43486.2369, net0_loss = 0.03265, net0_acc = 0.9949, net0_test_acc = 0.8359,     net1_loss = 0.11251, net1_acc = 0.9837, net1_test_acc = 0.8247
Epoch: [ 74] [1600/4000] time: 43486.2370, dice0 = 0.01278, cross0 = 0.0138, kl0 = 0.0006, exclusion0 = 0.0115,     dice1 = 0.04431, cross1 = 0.0381, kl1 = 0.0081, exclusion1 = 0.0521
1.0881721
Epoch: [ 74] [1650/4000] time: 43493.6232, net0_loss = 0.11061, net0_acc = 0.9810, net0_test_acc = 0.9856,     net1_loss = 0.13859, net1_acc = 0.9803, net1_test_acc = 0.9754
Epoch: [ 74] [1650/4000] time: 43493.6233, dice0 = 0.04296, cross0 = 0.0459, kl0 = 0.0046, exclusion0 = 0.0389,     dice1 = 0.05076, cross1 = 0.0478, kl1 = 0.0149, exclusion1 = 0.0651
1.201954
Epoch: [ 74] [1700/4000] time: 43501.1040, net0_loss = 0.35258, net0_acc = 0.9475, net0_test_acc = 0.9386,     net1_loss = 0.06405, net1_acc = 0.9890, net1_test_acc = 0.9510
Epoch: [ 74] [1700/4000] time: 43501.1040, dice0 = 0.10150, cross0 = 0.2256, kl0 = 0.0089, exclusion0 = 0.0420,     dice1 = 0.02503, cross1 = 0.0288, kl1 = 0.0019, exclusion1 = 0.0184
1.2305697
Epoch: [ 74] [1750/4000] time: 43508.4397, net0_loss = 0.14540, net0_acc = 0.9751, net0_test_acc = 0.9532,     net1_loss = 0.15915, net1_acc = 0.9757, net1_test_acc = 0.9824
Epoch: [ 74] [1750/4000] time: 43508.4398, dice0 = 0.05484, cross0 = 0.0650, kl0 = 0.0051, exclusion0 = 0.0460,     dice1 = 0.06190, cross1 = 0.0593, kl1 = 0.0108, exclusion1 = 0.0650
1.0889033
Epoch: [ 74] [1800/4000] time: 43515.9139, net0_loss = 0.16575, net0_acc = 0.9755, net0_test_acc = 0.9120,     net1_loss = 0.12862, net1_acc = 0.9814, net1_test_acc = 0.9772
Epoch: [ 74] [1800/4000] time: 43515.9140, dice0 = 0.05855, cross0 = 0.0610, kl0 = 0.0163, exclusion0 = 0.0760,     dice1 = 0.05084, cross1 = 0.0440, kl1 = 0.0066, exclusion1 = 0.0609
1.1907833
Epoch: [ 74] [1850/4000] time: 43523.3259, net0_loss = 0.09084, net0_acc = 0.9845, net0_test_acc = 0.9505,     net1_loss = 0.20869, net1_acc = 0.9669, net1_test_acc = 0.9334
Epoch: [ 74] [1850/4000] time: 43523.3260, dice0 = 0.03567, cross0 = 0.0366, kl0 = 0.0042, exclusion0 = 0.0329,     dice1 = 0.08072, cross1 = 0.0810, kl1 = 0.0125, exclusion1 = 0.0815
1.1409098
Epoch: [ 74] [1900/4000] time: 43530.7307, net0_loss = 0.04217, net0_acc = 0.9943, net0_test_acc = 0.9493,     net1_loss = 0.16892, net1_acc = 0.9758, net1_test_acc = 0.9287
Epoch: [ 74] [1900/4000] time: 43530.7307, dice0 = 0.01689, cross0 = 0.0144, kl0 = 0.0020, exclusion0 = 0.0198,     dice1 = 0.05463, cross1 = 0.0937, kl1 = 0.0052, exclusion1 = 0.0361
1.2146242
Epoch: [ 74] [1950/4000] time: 43538.1255, net0_loss = 0.13894, net0_acc = 0.9784, net0_test_acc = 0.9717,     net1_loss = 0.14806, net1_acc = 0.9807, net1_test_acc = 0.9262
Epoch: [ 74] [1950/4000] time: 43538.1255, dice0 = 0.04801, cross0 = 0.0679, kl0 = 0.0100, exclusion0 = 0.0361,     dice1 = 0.05800, cross1 = 0.0480, kl1 = 0.0088, exclusion1 = 0.0753
1.2846054
Epoch: [ 74] [2000/4000] time: 43545.5812, net0_loss = 0.06399, net0_acc = 0.9911, net0_test_acc = 0.7746,     net1_loss = 0.15737, net1_acc = 0.9727, net1_test_acc = 0.9418
Epoch: [ 74] [2000/4000] time: 43545.5812, dice0 = 0.02236, cross0 = 0.0238, kl0 = 0.0066, exclusion0 = 0.0292,     dice1 = 0.05681, cross1 = 0.0776, kl1 = 0.0063, exclusion1 = 0.0397
1.079194
Epoch: [ 74] [2050/4000] time: 43553.0200, net0_loss = 0.15127, net0_acc = 0.9779, net0_test_acc = 0.8995,     net1_loss = 0.08108, net1_acc = 0.9871, net1_test_acc = 0.8210
Epoch: [ 74] [2050/4000] time: 43553.0201, dice0 = 0.05542, cross0 = 0.0516, kl0 = 0.0152, exclusion0 = 0.0734,     dice1 = 0.03029, cross1 = 0.0354, kl1 = 0.0039, exclusion1 = 0.0269
1.128918
Epoch: [ 74] [2100/4000] time: 43560.3424, net0_loss = 0.14409, net0_acc = 0.9774, net0_test_acc = 0.9041,     net1_loss = 0.20237, net1_acc = 0.9657, net1_test_acc = 0.9585
Epoch: [ 74] [2100/4000] time: 43560.3425, dice0 = 0.05354, cross0 = 0.0576, kl0 = 0.0105, exclusion0 = 0.0553,     dice1 = 0.07552, cross1 = 0.0956, kl1 = 0.0060, exclusion1 = 0.0566
1.2009884
Epoch: [ 74] [2150/4000] time: 43567.8178, net0_loss = 0.14438, net0_acc = 0.9730, net0_test_acc = 0.9109,     net1_loss = 0.23399, net1_acc = 0.9601, net1_test_acc = 0.9804
Epoch: [ 74] [2150/4000] time: 43567.8179, dice0 = 0.05448, cross0 = 0.0721, kl0 = 0.0035, exclusion0 = 0.0321,     dice1 = 0.08194, cross1 = 0.1192, kl1 = 0.0097, exclusion1 = 0.0560
1.1308391
Epoch: [ 74] [2200/4000] time: 43575.2374, net0_loss = 0.08921, net0_acc = 0.9864, net0_test_acc = 0.9145,     net1_loss = 0.13063, net1_acc = 0.9780, net1_test_acc = 0.9431
Epoch: [ 74] [2200/4000] time: 43575.2375, dice0 = 0.03521, cross0 = 0.0351, kl0 = 0.0023, exclusion0 = 0.0355,     dice1 = 0.04977, cross1 = 0.0604, kl1 = 0.0042, exclusion1 = 0.0367
1.1110262
Epoch: [ 74] [2250/4000] time: 43582.5760, net0_loss = 0.07143, net0_acc = 0.9890, net0_test_acc = 0.9559,     net1_loss = 0.10574, net1_acc = 0.9832, net1_test_acc = 0.9271
Epoch: [ 74] [2250/4000] time: 43582.5761, dice0 = 0.02817, cross0 = 0.0278, kl0 = 0.0025, exclusion0 = 0.0285,     dice1 = 0.04081, cross1 = 0.0419, kl1 = 0.0059, exclusion1 = 0.0401
1.1279376
Epoch: [ 74] [2300/4000] time: 43590.0099, net0_loss = 0.17921, net0_acc = 0.9721, net0_test_acc = 0.7439,     net1_loss = 0.19347, net1_acc = 0.9703, net1_test_acc = 0.8166
Epoch: [ 74] [2300/4000] time: 43590.0100, dice0 = 0.06106, cross0 = 0.0837, kl0 = 0.0116, exclusion0 = 0.0574,     dice1 = 0.07199, cross1 = 0.0786, kl1 = 0.0128, exclusion1 = 0.0729
1.0300254
Epoch: [ 74] [2350/4000] time: 43597.4730, net0_loss = 0.19042, net0_acc = 0.9681, net0_test_acc = 0.8026,     net1_loss = 0.10966, net1_acc = 0.9832, net1_test_acc = 0.8305
Epoch: [ 74] [2350/4000] time: 43597.4730, dice0 = 0.06879, cross0 = 0.0916, kl0 = 0.0070, exclusion0 = 0.0531,     dice1 = 0.04017, cross1 = 0.0451, kl1 = 0.0072, exclusion1 = 0.0416
1.1205575
Epoch: [ 74] [2400/4000] time: 43604.8580, net0_loss = 0.10106, net0_acc = 0.9836, net0_test_acc = 0.9770,     net1_loss = 0.20800, net1_acc = 0.9666, net1_test_acc = 0.9426
Epoch: [ 74] [2400/4000] time: 43604.8580, dice0 = 0.03985, cross0 = 0.0425, kl0 = 0.0040, exclusion0 = 0.0333,     dice1 = 0.07171, cross1 = 0.0949, kl1 = 0.0181, exclusion1 = 0.0646
1.2153052
Epoch: [ 74] [2450/4000] time: 43612.2544, net0_loss = 0.10354, net0_acc = 0.9833, net0_test_acc = 0.9906,     net1_loss = 0.25431, net1_acc = 0.9591, net1_test_acc = 0.9519
Epoch: [ 74] [2450/4000] time: 43612.2545, dice0 = 0.04050, cross0 = 0.0384, kl0 = 0.0058, exclusion0 = 0.0435,     dice1 = 0.08549, cross1 = 0.1160, kl1 = 0.0228, exclusion1 = 0.0830
1.1969203
Epoch: [ 74] [2500/4000] time: 43619.6236, net0_loss = 0.20203, net0_acc = 0.9639, net0_test_acc = 0.9488,     net1_loss = 0.07603, net1_acc = 0.9879, net1_test_acc = 0.8294
Epoch: [ 74] [2500/4000] time: 43619.6237, dice0 = 0.07602, cross0 = 0.0969, kl0 = 0.0062, exclusion0 = 0.0520,     dice1 = 0.02936, cross1 = 0.0309, kl1 = 0.0042, exclusion1 = 0.0274
1.1716089
Epoch: [ 74] [2550/4000] time: 43627.0373, net0_loss = 0.13429, net0_acc = 0.9802, net0_test_acc = 0.9803,     net1_loss = 0.14409, net1_acc = 0.9769, net1_test_acc = 0.9149
Epoch: [ 74] [2550/4000] time: 43627.0375, dice0 = 0.05279, cross0 = 0.0479, kl0 = 0.0069, exclusion0 = 0.0603,     dice1 = 0.05337, cross1 = 0.0596, kl1 = 0.0107, exclusion1 = 0.0515
1.0670671
Epoch: [ 74] [2600/4000] time: 43634.4832, net0_loss = 0.19875, net0_acc = 0.9681, net0_test_acc = 0.9415,     net1_loss = 0.04436, net1_acc = 0.9945, net1_test_acc = 0.9636
Epoch: [ 74] [2600/4000] time: 43634.4833, dice0 = 0.07046, cross0 = 0.0820, kl0 = 0.0172, exclusion0 = 0.0754,     dice1 = 0.01785, cross1 = 0.0146, kl1 = 0.0026, exclusion1 = 0.0213
1.2131784
Epoch: [ 74] [2650/4000] time: 43641.9164, net0_loss = 0.10048, net0_acc = 0.9835, net0_test_acc = 0.9451,     net1_loss = 0.10019, net1_acc = 0.9828, net1_test_acc = 0.9830
Epoch: [ 74] [2650/4000] time: 43641.9165, dice0 = 0.03944, cross0 = 0.0395, kl0 = 0.0043, exclusion0 = 0.0387,     dice1 = 0.03743, cross1 = 0.0481, kl1 = 0.0033, exclusion1 = 0.0262
1.1409789
Epoch: [ 74] [2700/4000] time: 43649.3541, net0_loss = 0.11482, net0_acc = 0.9814, net0_test_acc = 0.8542,     net1_loss = 0.15011, net1_acc = 0.9742, net1_test_acc = 0.9534
Epoch: [ 74] [2700/4000] time: 43649.3541, dice0 = 0.04341, cross0 = 0.0480, kl0 = 0.0059, exclusion0 = 0.0409,     dice1 = 0.05351, cross1 = 0.0714, kl1 = 0.0086, exclusion1 = 0.0417
1.1132151
Epoch: [ 74] [2750/4000] time: 43656.7772, net0_loss = 0.22656, net0_acc = 0.9661, net0_test_acc = 0.9118,     net1_loss = 0.04713, net1_acc = 0.9925, net1_test_acc = 0.9569
Epoch: [ 74] [2750/4000] time: 43656.7772, dice0 = 0.08024, cross0 = 0.0988, kl0 = 0.0151, exclusion0 = 0.0800,     dice1 = 0.01878, cross1 = 0.0202, kl1 = 0.0010, exclusion1 = 0.0154
1.2464998
Epoch: [ 74] [2800/4000] time: 43664.1484, net0_loss = 0.11287, net0_acc = 0.9837, net0_test_acc = 0.9664,     net1_loss = 0.08787, net1_acc = 0.9878, net1_test_acc = 0.9501
Epoch: [ 74] [2800/4000] time: 43664.1484, dice0 = 0.03996, cross0 = 0.0529, kl0 = 0.0052, exclusion0 = 0.0349,     dice1 = 0.03568, cross1 = 0.0301, kl1 = 0.0040, exclusion1 = 0.0402
1.0914294
Epoch: [ 74] [2850/4000] time: 43671.5159, net0_loss = 0.25732, net0_acc = 0.9590, net0_test_acc = 0.9141,     net1_loss = 0.04937, net1_acc = 0.9924, net1_test_acc = 0.9733
Epoch: [ 74] [2850/4000] time: 43671.5159, dice0 = 0.08463, cross0 = 0.1369, kl0 = 0.0136, exclusion0 = 0.0581,     dice1 = 0.01966, cross1 = 0.0187, kl1 = 0.0022, exclusion1 = 0.0198
1.1371753
Epoch: [ 74] [2900/4000] time: 43678.9264, net0_loss = 0.15002, net0_acc = 0.9758, net0_test_acc = 0.9790,     net1_loss = 0.13160, net1_acc = 0.9788, net1_test_acc = 0.9514
Epoch: [ 74] [2900/4000] time: 43678.9265, dice0 = 0.06032, cross0 = 0.0592, kl0 = 0.0052, exclusion0 = 0.0558,     dice1 = 0.04866, cross1 = 0.0606, kl1 = 0.0067, exclusion1 = 0.0380
1.1180991
Epoch: [ 74] [2950/4000] time: 43686.3255, net0_loss = 0.16762, net0_acc = 0.9732, net0_test_acc = 0.7582,     net1_loss = 0.08625, net1_acc = 0.9858, net1_test_acc = 0.9152
Epoch: [ 74] [2950/4000] time: 43686.3256, dice0 = 0.06065, cross0 = 0.0700, kl0 = 0.0125, exclusion0 = 0.0614,     dice1 = 0.03210, cross1 = 0.0369, kl1 = 0.0049, exclusion1 = 0.0297
1.2505472
Epoch: [ 74] [3000/4000] time: 43693.7327, net0_loss = 0.10800, net0_acc = 0.9855, net0_test_acc = 0.9470,     net1_loss = 0.10968, net1_acc = 0.9826, net1_test_acc = 0.9471
Epoch: [ 74] [3000/4000] time: 43693.7327, dice0 = 0.04248, cross0 = 0.0353, kl0 = 0.0081, exclusion0 = 0.0522,     dice1 = 0.04212, cross1 = 0.0442, kl1 = 0.0064, exclusion1 = 0.0404
1.0451456
Epoch: [ 74] [3050/4000] time: 43701.2116, net0_loss = 0.05849, net0_acc = 0.9914, net0_test_acc = 0.9379,     net1_loss = 0.14640, net1_acc = 0.9757, net1_test_acc = 0.9540
Epoch: [ 74] [3050/4000] time: 43701.2117, dice0 = 0.02381, cross0 = 0.0209, kl0 = 0.0015, exclusion0 = 0.0260,     dice1 = 0.05513, cross1 = 0.0635, kl1 = 0.0065, exclusion1 = 0.0490
1.1889776
Epoch: [ 74] [3100/4000] time: 43708.6142, net0_loss = 0.13699, net0_acc = 0.9775, net0_test_acc = 0.9445,     net1_loss = 0.03839, net1_acc = 0.9953, net1_test_acc = 0.9221
Epoch: [ 74] [3100/4000] time: 43708.6142, dice0 = 0.05128, cross0 = 0.0583, kl0 = 0.0087, exclusion0 = 0.0462,     dice1 = 0.01574, cross1 = 0.0119, kl1 = 0.0015, exclusion1 = 0.0200
1.1591762
Epoch: [ 74] [3150/4000] time: 43716.0402, net0_loss = 0.07473, net0_acc = 0.9893, net0_test_acc = 0.8189,     net1_loss = 0.24098, net1_acc = 0.9620, net1_test_acc = 0.9220
Epoch: [ 74] [3150/4000] time: 43716.0403, dice0 = 0.02953, cross0 = 0.0256, kl0 = 0.0040, exclusion0 = 0.0352,     dice1 = 0.08636, cross1 = 0.1052, kl1 = 0.0165, exclusion1 = 0.0823
1.1151842
Epoch: [ 74] [3200/4000] time: 43723.3369, net0_loss = 0.14720, net0_acc = 0.9777, net0_test_acc = 0.9153,     net1_loss = 0.15396, net1_acc = 0.9722, net1_test_acc = 0.9455
Epoch: [ 74] [3200/4000] time: 43723.3370, dice0 = 0.05881, cross0 = 0.0554, kl0 = 0.0053, exclusion0 = 0.0606,     dice1 = 0.05766, cross1 = 0.0777, kl1 = 0.0024, exclusion1 = 0.0349
1.1536341
Epoch: [ 74] [3250/4000] time: 43730.8527, net0_loss = 0.23633, net0_acc = 0.9615, net0_test_acc = 0.9620,     net1_loss = 0.04594, net1_acc = 0.9929, net1_test_acc = 0.9415
Epoch: [ 74] [3250/4000] time: 43730.8528, dice0 = 0.08634, cross0 = 0.1040, kl0 = 0.0141, exclusion0 = 0.0778,     dice1 = 0.01870, cross1 = 0.0166, kl1 = 0.0022, exclusion1 = 0.0191
1.2938921
Epoch: [ 74] [3300/4000] time: 43738.2318, net0_loss = 0.12599, net0_acc = 0.9761, net0_test_acc = 0.8433,     net1_loss = 0.06913, net1_acc = 0.9895, net1_test_acc = 0.9401
Epoch: [ 74] [3300/4000] time: 43738.2318, dice0 = 0.04840, cross0 = 0.0622, kl0 = 0.0024, exclusion0 = 0.0285,     dice1 = 0.02813, cross1 = 0.0239, kl1 = 0.0034, exclusion1 = 0.0307
1.2115644
Epoch: [ 74] [3350/4000] time: 43745.6647, net0_loss = 0.11432, net0_acc = 0.9820, net0_test_acc = 0.9689,     net1_loss = 0.18349, net1_acc = 0.9681, net1_test_acc = 0.9570
Epoch: [ 74] [3350/4000] time: 43745.6648, dice0 = 0.04257, cross0 = 0.0519, kl0 = 0.0051, exclusion0 = 0.0345,     dice1 = 0.07046, cross1 = 0.0737, kl1 = 0.0128, exclusion1 = 0.0658
1.1806505
Epoch: [ 74] [3400/4000] time: 43753.0515, net0_loss = 0.11877, net0_acc = 0.9811, net0_test_acc = 0.9496,     net1_loss = 0.07112, net1_acc = 0.9884, net1_test_acc = 0.9908
Epoch: [ 74] [3400/4000] time: 43753.0516, dice0 = 0.04443, cross0 = 0.0568, kl0 = 0.0022, exclusion0 = 0.0328,     dice1 = 0.02640, cross1 = 0.0334, kl1 = 0.0024, exclusion1 = 0.0201
1.2055023
Epoch: [ 74] [3450/4000] time: 43760.4732, net0_loss = 0.16151, net0_acc = 0.9723, net0_test_acc = 0.9616,     net1_loss = 0.22838, net1_acc = 0.9606, net1_test_acc = 0.9143
Epoch: [ 74] [3450/4000] time: 43760.4733, dice0 = 0.06237, cross0 = 0.0688, kl0 = 0.0061, exclusion0 = 0.0545,     dice1 = 0.08675, cross1 = 0.1020, kl1 = 0.0076, exclusion1 = 0.0718
1.1611294
Epoch: [ 74] [3500/4000] time: 43767.8483, net0_loss = 0.17570, net0_acc = 0.9712, net0_test_acc = 0.8762,     net1_loss = 0.10345, net1_acc = 0.9822, net1_test_acc = 0.9089
Epoch: [ 74] [3500/4000] time: 43767.8484, dice0 = 0.06794, cross0 = 0.0708, kl0 = 0.0079, exclusion0 = 0.0660,     dice1 = 0.04006, cross1 = 0.0461, kl1 = 0.0027, exclusion1 = 0.0318
1.0790985
Epoch: [ 74] [3550/4000] time: 43775.1609, net0_loss = 0.11218, net0_acc = 0.9819, net0_test_acc = 0.8192,     net1_loss = 0.16094, net1_acc = 0.9762, net1_test_acc = 0.9610
Epoch: [ 74] [3550/4000] time: 43775.1610, dice0 = 0.04437, cross0 = 0.0442, kl0 = 0.0048, exclusion0 = 0.0425,     dice1 = 0.05971, cross1 = 0.0563, kl1 = 0.0170, exclusion1 = 0.0728
1.2264531
Epoch: [ 74] [3600/4000] time: 43782.5565, net0_loss = 0.16178, net0_acc = 0.9704, net0_test_acc = 0.9812,     net1_loss = 0.11411, net1_acc = 0.9837, net1_test_acc = 0.9049
Epoch: [ 74] [3600/4000] time: 43782.5565, dice0 = 0.06002, cross0 = 0.0779, kl0 = 0.0056, exclusion0 = 0.0421,     dice1 = 0.04137, cross1 = 0.0395, kl1 = 0.0126, exclusion1 = 0.0539
1.0987129
Epoch: [ 74] [3650/4000] time: 43790.0760, net0_loss = 0.15912, net0_acc = 0.9750, net0_test_acc = 0.9219,     net1_loss = 0.10295, net1_acc = 0.9844, net1_test_acc = 0.9625
Epoch: [ 74] [3650/4000] time: 43790.0760, dice0 = 0.05647, cross0 = 0.0754, kl0 = 0.0079, exclusion0 = 0.0467,     dice1 = 0.03975, cross1 = 0.0397, kl1 = 0.0060, exclusion1 = 0.0409
1.0987399
Epoch: [ 74] [3700/4000] time: 43797.4967, net0_loss = 0.11595, net0_acc = 0.9836, net0_test_acc = 0.8934,     net1_loss = 0.09144, net1_acc = 0.9887, net1_test_acc = 0.9304
Epoch: [ 74] [3700/4000] time: 43797.4967, dice0 = 0.04142, cross0 = 0.0405, kl0 = 0.0120, exclusion0 = 0.0562,     dice1 = 0.03291, cross1 = 0.0339, kl1 = 0.0080, exclusion1 = 0.0413
1.256437
Epoch: [ 74] [3750/4000] time: 43804.8644, net0_loss = 0.03688, net0_acc = 0.9945, net0_test_acc = 0.9474,     net1_loss = 0.06656, net1_acc = 0.9895, net1_test_acc = 0.8951
Epoch: [ 74] [3750/4000] time: 43804.8645, dice0 = 0.01368, cross0 = 0.0150, kl0 = 0.0018, exclusion0 = 0.0145,     dice1 = 0.02667, cross1 = 0.0244, kl1 = 0.0029, exclusion1 = 0.0279
1.1933633
Epoch: [ 74] [3800/4000] time: 43812.2935, net0_loss = 0.13770, net0_acc = 0.9787, net0_test_acc = 0.9719,     net1_loss = 0.05927, net1_acc = 0.9925, net1_test_acc = 0.9518
Epoch: [ 74] [3800/4000] time: 43812.2936, dice0 = 0.04941, cross0 = 0.0565, kl0 = 0.0112, exclusion0 = 0.0524,     dice1 = 0.02509, cross1 = 0.0202, kl1 = 0.0012, exclusion1 = 0.0268
1.1639935
Epoch: [ 74] [3850/4000] time: 43819.7127, net0_loss = 0.14167, net0_acc = 0.9762, net0_test_acc = 0.9369,     net1_loss = 0.06639, net1_acc = 0.9889, net1_test_acc = 0.9495
Epoch: [ 74] [3850/4000] time: 43819.7127, dice0 = 0.05631, cross0 = 0.0566, kl0 = 0.0046, exclusion0 = 0.0531,     dice1 = 0.02569, cross1 = 0.0305, kl1 = 0.0013, exclusion1 = 0.0192
1.1095154
Epoch: [ 74] [3900/4000] time: 43827.1083, net0_loss = 0.07301, net0_acc = 0.9892, net0_test_acc = 0.9384,     net1_loss = 0.07427, net1_acc = 0.9895, net1_test_acc = 0.7816
Epoch: [ 74] [3900/4000] time: 43827.1084, dice0 = 0.02885, cross0 = 0.0270, kl0 = 0.0029, exclusion0 = 0.0314,     dice1 = 0.02947, cross1 = 0.0248, kl1 = 0.0046, exclusion1 = 0.0354
1.1808884
Epoch: [ 74] [3950/4000] time: 43834.4997, net0_loss = 0.11963, net0_acc = 0.9807, net0_test_acc = 0.8569,     net1_loss = 0.09100, net1_acc = 0.9848, net1_test_acc = 0.8938
Epoch: [ 74] [3950/4000] time: 43834.4997, dice0 = 0.04657, cross0 = 0.0481, kl0 = 0.0058, exclusion0 = 0.0440,     dice1 = 0.03744, cross1 = 0.0333, kl1 = 0.0035, exclusion1 = 0.0370
1.1301379
Epoch: [ 75] [  0/4000] time: 43841.9026, net0_loss = 0.15604, net0_acc = 0.9760, net0_test_acc = 0.9146,     net1_loss = 0.13289, net1_acc = 0.9780, net1_test_acc = 0.8136
Epoch: [ 75] [  0/4000] time: 43841.9027, dice0 = 0.05418, cross0 = 0.0628, kl0 = 0.0158, exclusion0 = 0.0624,     dice1 = 0.05146, cross1 = 0.0555, kl1 = 0.0055, exclusion1 = 0.0464
1.146847
Epoch: [ 75] [ 50/4000] time: 43849.2906, net0_loss = 0.10666, net0_acc = 0.9842, net0_test_acc = 0.9367,     net1_loss = 0.09886, net1_acc = 0.9847, net1_test_acc = 0.9258
Epoch: [ 75] [ 50/4000] time: 43849.2907, dice0 = 0.04042, cross0 = 0.0420, kl0 = 0.0064, exclusion0 = 0.0420,     dice1 = 0.03775, cross1 = 0.0353, kl1 = 0.0073, exclusion1 = 0.0443
1.2040755
Epoch: [ 75] [100/4000] time: 43856.6218, net0_loss = 0.14959, net0_acc = 0.9740, net0_test_acc = 0.9269,     net1_loss = 0.17709, net1_acc = 0.9713, net1_test_acc = 0.9402
Epoch: [ 75] [100/4000] time: 43856.6219, dice0 = 0.05493, cross0 = 0.0771, kl0 = 0.0023, exclusion0 = 0.0328,     dice1 = 0.05939, cross1 = 0.0777, kl1 = 0.0172, exclusion1 = 0.0628
1.2270218
Epoch: [ 75] [150/4000] time: 43864.0934, net0_loss = 0.07537, net0_acc = 0.9892, net0_test_acc = 0.9738,     net1_loss = 0.21913, net1_acc = 0.9641, net1_test_acc = 0.9410
Epoch: [ 75] [150/4000] time: 43864.0935, dice0 = 0.02498, cross0 = 0.0379, kl0 = 0.0039, exclusion0 = 0.0211,     dice1 = 0.07743, cross1 = 0.0994, kl1 = 0.0152, exclusion1 = 0.0693
1.1603643
Epoch: [ 75] [200/4000] time: 43871.5178, net0_loss = 0.29274, net0_acc = 0.9549, net0_test_acc = 0.9025,     net1_loss = 0.15166, net1_acc = 0.9772, net1_test_acc = 0.8666
Epoch: [ 75] [200/4000] time: 43871.5178, dice0 = 0.11006, cross0 = 0.1226, kl0 = 0.0108, exclusion0 = 0.1094,     dice1 = 0.05511, cross1 = 0.0552, kl1 = 0.0154, exclusion1 = 0.0672
1.1215354
Epoch: [ 75] [250/4000] time: 43878.8739, net0_loss = 0.14075, net0_acc = 0.9788, net0_test_acc = 0.9570,     net1_loss = 0.05838, net1_acc = 0.9911, net1_test_acc = 0.9794
Epoch: [ 75] [250/4000] time: 43878.8740, dice0 = 0.05278, cross0 = 0.0552, kl0 = 0.0093, exclusion0 = 0.0562,     dice1 = 0.02234, cross1 = 0.0209, kl1 = 0.0042, exclusion1 = 0.0260
1.2214811
Epoch: [ 75] [300/4000] time: 43886.2944, net0_loss = 0.06240, net0_acc = 0.9915, net0_test_acc = 0.8709,     net1_loss = 0.18114, net1_acc = 0.9729, net1_test_acc = 0.8564
Epoch: [ 75] [300/4000] time: 43886.2945, dice0 = 0.02549, cross0 = 0.0217, kl0 = 0.0023, exclusion0 = 0.0281,     dice1 = 0.06769, cross1 = 0.0634, kl1 = 0.0168, exclusion1 = 0.0832
1.1981733
Epoch: [ 75] [350/4000] time: 43893.5675, net0_loss = 0.10051, net0_acc = 0.9834, net0_test_acc = 0.9258,     net1_loss = 0.13634, net1_acc = 0.9773, net1_test_acc = 0.9012
Epoch: [ 75] [350/4000] time: 43893.5676, dice0 = 0.03973, cross0 = 0.0404, kl0 = 0.0038, exclusion0 = 0.0368,     dice1 = 0.05257, cross1 = 0.0539, kl1 = 0.0073, exclusion1 = 0.0525
1.0915983
Epoch: [ 75] [400/4000] time: 43901.0548, net0_loss = 0.04436, net0_acc = 0.9931, net0_test_acc = 0.9482,     net1_loss = 0.15620, net1_acc = 0.9761, net1_test_acc = 0.9441
Epoch: [ 75] [400/4000] time: 43901.0548, dice0 = 0.01773, cross0 = 0.0162, kl0 = 0.0020, exclusion0 = 0.0189,     dice1 = 0.05233, cross1 = 0.0590, kl1 = 0.0200, exclusion1 = 0.0698
1.1299192
Epoch: [ 75] [450/4000] time: 43908.4271, net0_loss = 0.32254, net0_acc = 0.9505, net0_test_acc = 0.9227,     net1_loss = 0.17276, net1_acc = 0.9723, net1_test_acc = 0.9898
Epoch: [ 75] [450/4000] time: 43908.4271, dice0 = 0.10328, cross0 = 0.1630, kl0 = 0.0230, exclusion0 = 0.0895,     dice1 = 0.06770, cross1 = 0.0671, kl1 = 0.0082, exclusion1 = 0.0678
1.0597836
Epoch: [ 75] [500/4000] time: 43915.9158, net0_loss = 0.14735, net0_acc = 0.9741, net0_test_acc = 0.9279,     net1_loss = 0.06015, net1_acc = 0.9902, net1_test_acc = 0.7971
Epoch: [ 75] [500/4000] time: 43915.9159, dice0 = 0.05761, cross0 = 0.0677, kl0 = 0.0033, exclusion0 = 0.0407,     dice1 = 0.02396, cross1 = 0.0232, kl1 = 0.0023, exclusion1 = 0.0238
1.1512849
Epoch: [ 75] [550/4000] time: 43923.3211, net0_loss = 0.16140, net0_acc = 0.9727, net0_test_acc = 0.8772,     net1_loss = 0.15189, net1_acc = 0.9741, net1_test_acc = 0.9854
Epoch: [ 75] [550/4000] time: 43923.3212, dice0 = 0.05957, cross0 = 0.0645, kl0 = 0.0124, exclusion0 = 0.0623,     dice1 = 0.05652, cross1 = 0.0721, kl1 = 0.0053, exclusion1 = 0.0412
1.0832676
Epoch: [ 75] [600/4000] time: 43930.6539, net0_loss = 0.18051, net0_acc = 0.9685, net0_test_acc = 0.9480,     net1_loss = 0.04018, net1_acc = 0.9953, net1_test_acc = 0.9089
Epoch: [ 75] [600/4000] time: 43930.6540, dice0 = 0.06788, cross0 = 0.0848, kl0 = 0.0066, exclusion0 = 0.0490,     dice1 = 0.01611, cross1 = 0.0146, kl1 = 0.0020, exclusion1 = 0.0171
1.1931938
Epoch: [ 75] [650/4000] time: 43938.1166, net0_loss = 0.24390, net0_acc = 0.9633, net0_test_acc = 0.8602,     net1_loss = 0.11544, net1_acc = 0.9824, net1_test_acc = 0.9019
Epoch: [ 75] [650/4000] time: 43938.1166, dice0 = 0.08829, cross0 = 0.0970, kl0 = 0.0191, exclusion0 = 0.0982,     dice1 = 0.04318, cross1 = 0.0440, kl1 = 0.0079, exclusion1 = 0.0487
1.1106325
Epoch: [ 75] [700/4000] time: 43945.5206, net0_loss = 0.08009, net0_acc = 0.9862, net0_test_acc = 0.8947,     net1_loss = 0.12687, net1_acc = 0.9807, net1_test_acc = 0.7959
Epoch: [ 75] [700/4000] time: 43945.5206, dice0 = 0.02943, cross0 = 0.0380, kl0 = 0.0036, exclusion0 = 0.0217,     dice1 = 0.04852, cross1 = 0.0520, kl1 = 0.0056, exclusion1 = 0.0471
1.0966245
Epoch: [ 75] [750/4000] time: 43952.9501, net0_loss = 0.26217, net0_acc = 0.9570, net0_test_acc = 0.9091,     net1_loss = 0.14043, net1_acc = 0.9759, net1_test_acc = 0.9385
Epoch: [ 75] [750/4000] time: 43952.9502, dice0 = 0.09017, cross0 = 0.1274, kl0 = 0.0146, exclusion0 = 0.0747,     dice1 = 0.05219, cross1 = 0.0670, kl1 = 0.0042, exclusion1 = 0.0382
1.200621
Epoch: [ 75] [800/4000] time: 43960.3552, net0_loss = 0.10367, net0_acc = 0.9837, net0_test_acc = 0.9365,     net1_loss = 0.11567, net1_acc = 0.9836, net1_test_acc = 0.9229
Epoch: [ 75] [800/4000] time: 43960.3553, dice0 = 0.04186, cross0 = 0.0367, kl0 = 0.0050, exclusion0 = 0.0453,     dice1 = 0.04174, cross1 = 0.0407, kl1 = 0.0113, exclusion1 = 0.0552
1.0512604
Epoch: [ 75] [850/4000] time: 43967.6590, net0_loss = 0.19290, net0_acc = 0.9711, net0_test_acc = 0.8998,     net1_loss = 0.10092, net1_acc = 0.9839, net1_test_acc = 0.9214
Epoch: [ 75] [850/4000] time: 43967.6591, dice0 = 0.07327, cross0 = 0.0761, kl0 = 0.0107, exclusion0 = 0.0763,     dice1 = 0.03999, cross1 = 0.0404, kl1 = 0.0035, exclusion1 = 0.0376
1.1726863
Epoch: [ 75] [900/4000] time: 43975.0887, net0_loss = 0.20128, net0_acc = 0.9667, net0_test_acc = 0.9325,     net1_loss = 0.07435, net1_acc = 0.9888, net1_test_acc = 0.9361
Epoch: [ 75] [900/4000] time: 43975.0890, dice0 = 0.07195, cross0 = 0.0990, kl0 = 0.0078, exclusion0 = 0.0529,     dice1 = 0.02821, cross1 = 0.0290, kl1 = 0.0051, exclusion1 = 0.0292
1.2449604
Epoch: [ 75] [950/4000] time: 43982.5349, net0_loss = 0.06878, net0_acc = 0.9897, net0_test_acc = 0.9823,     net1_loss = 0.22607, net1_acc = 0.9637, net1_test_acc = 0.9901
Epoch: [ 75] [950/4000] time: 43982.5349, dice0 = 0.02739, cross0 = 0.0235, kl0 = 0.0048, exclusion0 = 0.0309,     dice1 = 0.07984, cross1 = 0.1074, kl1 = 0.0117, exclusion1 = 0.0660
1.0867631
Epoch: [ 75] [1000/4000] time: 43989.9404, net0_loss = 0.14416, net0_acc = 0.9754, net0_test_acc = 0.9655,     net1_loss = 0.05688, net1_acc = 0.9919, net1_test_acc = 0.9596
Epoch: [ 75] [1000/4000] time: 43989.9405, dice0 = 0.05084, cross0 = 0.0723, kl0 = 0.0068, exclusion0 = 0.0352,     dice1 = 0.02303, cross1 = 0.0210, kl1 = 0.0015, exclusion1 = 0.0241
1.0869911
Epoch: [ 75] [1050/4000] time: 43997.3138, net0_loss = 0.07129, net0_acc = 0.9878, net0_test_acc = 0.9770,     net1_loss = 0.12581, net1_acc = 0.9806, net1_test_acc = 0.9174
Epoch: [ 75] [1050/4000] time: 43997.3139, dice0 = 0.02739, cross0 = 0.0346, kl0 = 0.0011, exclusion0 = 0.0176,     dice1 = 0.04986, cross1 = 0.0473, kl1 = 0.0052, exclusion1 = 0.0521
1.1414634
Epoch: [ 75] [1100/4000] time: 44004.6919, net0_loss = 0.10122, net0_acc = 0.9842, net0_test_acc = 0.8830,     net1_loss = 0.16996, net1_acc = 0.9688, net1_test_acc = 0.9890
Epoch: [ 75] [1100/4000] time: 44004.6920, dice0 = 0.03663, cross0 = 0.0477, kl0 = 0.0043, exclusion0 = 0.0295,     dice1 = 0.06610, cross1 = 0.0729, kl1 = 0.0067, exclusion1 = 0.0552
1.1689179
Epoch: [ 75] [1150/4000] time: 44012.0711, net0_loss = 0.04291, net0_acc = 0.9931, net0_test_acc = 0.8960,     net1_loss = 0.08385, net1_acc = 0.9861, net1_test_acc = 0.9898
Epoch: [ 75] [1150/4000] time: 44012.0712, dice0 = 0.01690, cross0 = 0.0179, kl0 = 0.0013, exclusion0 = 0.0148,     dice1 = 0.03146, cross1 = 0.0388, kl1 = 0.0025, exclusion1 = 0.0246
1.2359207
Epoch: [ 75] [1200/4000] time: 44019.4673, net0_loss = 0.12021, net0_acc = 0.9781, net0_test_acc = 0.9124,     net1_loss = 0.08016, net1_acc = 0.9884, net1_test_acc = 0.9108
Epoch: [ 75] [1200/4000] time: 44019.4674, dice0 = 0.04710, cross0 = 0.0516, kl0 = 0.0045, exclusion0 = 0.0385,     dice1 = 0.02987, cross1 = 0.0347, kl1 = 0.0034, exclusion1 = 0.0277
1.168941
Epoch: [ 75] [1250/4000] time: 44026.8048, net0_loss = 0.14760, net0_acc = 0.9770, net0_test_acc = 0.9624,     net1_loss = 0.23970, net1_acc = 0.9635, net1_test_acc = 0.9587
Epoch: [ 75] [1250/4000] time: 44026.8048, dice0 = 0.05404, cross0 = 0.0637, kl0 = 0.0074, exclusion0 = 0.0524,     dice1 = 0.08452, cross1 = 0.0920, kl1 = 0.0236, exclusion1 = 0.1028
1.1423199
Epoch: [ 75] [1300/4000] time: 44034.3155, net0_loss = 0.27983, net0_acc = 0.9527, net0_test_acc = 0.7502,     net1_loss = 0.26224, net1_acc = 0.9580, net1_test_acc = 0.9035
Epoch: [ 75] [1300/4000] time: 44034.3156, dice0 = 0.10255, cross0 = 0.1207, kl0 = 0.0177, exclusion0 = 0.0955,     dice1 = 0.08859, cross1 = 0.1341, kl1 = 0.0115, exclusion1 = 0.0676
1.0514766
Epoch: [ 75] [1350/4000] time: 44041.6856, net0_loss = 0.07820, net0_acc = 0.9883, net0_test_acc = 0.8372,     net1_loss = 0.23879, net1_acc = 0.9595, net1_test_acc = 0.8214
Epoch: [ 75] [1350/4000] time: 44041.6857, dice0 = 0.02969, cross0 = 0.0321, kl0 = 0.0038, exclusion0 = 0.0290,     dice1 = 0.08699, cross1 = 0.1007, kl1 = 0.0164, exclusion1 = 0.0858
1.1474203
Epoch: [ 75] [1400/4000] time: 44049.0925, net0_loss = 0.12822, net0_acc = 0.9802, net0_test_acc = 0.9864,     net1_loss = 0.11817, net1_acc = 0.9794, net1_test_acc = 0.9705
Epoch: [ 75] [1400/4000] time: 44049.0926, dice0 = 0.04619, cross0 = 0.0532, kl0 = 0.0098, exclusion0 = 0.0478,     dice1 = 0.04359, cross1 = 0.0615, kl1 = 0.0014, exclusion1 = 0.0247
1.1883435
Epoch: [ 75] [1450/4000] time: 44056.4690, net0_loss = 0.17296, net0_acc = 0.9712, net0_test_acc = 0.9399,     net1_loss = 0.07638, net1_acc = 0.9874, net1_test_acc = 0.9487
Epoch: [ 75] [1450/4000] time: 44056.4691, dice0 = 0.06289, cross0 = 0.0719, kl0 = 0.0132, exclusion0 = 0.0632,     dice1 = 0.03052, cross1 = 0.0294, kl1 = 0.0038, exclusion1 = 0.0291
1.1206547
Epoch: [ 75] [1500/4000] time: 44063.8767, net0_loss = 0.16095, net0_acc = 0.9760, net0_test_acc = 0.9505,     net1_loss = 0.08336, net1_acc = 0.9884, net1_test_acc = 0.9695
Epoch: [ 75] [1500/4000] time: 44063.8767, dice0 = 0.06376, cross0 = 0.0588, kl0 = 0.0089, exclusion0 = 0.0679,     dice1 = 0.03329, cross1 = 0.0289, kl1 = 0.0047, exclusion1 = 0.0375
1.1395113
Epoch: [ 75] [1550/4000] time: 44071.2840, net0_loss = 0.06219, net0_acc = 0.9911, net0_test_acc = 0.9064,     net1_loss = 0.15862, net1_acc = 0.9716, net1_test_acc = 0.9763
Epoch: [ 75] [1550/4000] time: 44071.2841, dice0 = 0.02415, cross0 = 0.0220, kl0 = 0.0036, exclusion0 = 0.0285,     dice1 = 0.05616, cross1 = 0.0881, kl1 = 0.0022, exclusion1 = 0.0265
1.1667811
Epoch: [ 75] [1600/4000] time: 44078.6218, net0_loss = 0.07816, net0_acc = 0.9879, net0_test_acc = 0.9533,     net1_loss = 0.06778, net1_acc = 0.9890, net1_test_acc = 0.9328
Epoch: [ 75] [1600/4000] time: 44078.6219, dice0 = 0.02882, cross0 = 0.0310, kl0 = 0.0055, exclusion0 = 0.0312,     dice1 = 0.02440, cross1 = 0.0341, kl1 = 0.0021, exclusion1 = 0.0164
1.2214253
Epoch: [ 75] [1650/4000] time: 44086.1104, net0_loss = 0.10671, net0_acc = 0.9833, net0_test_acc = 0.9447,     net1_loss = 0.10901, net1_acc = 0.9837, net1_test_acc = 0.9277
Epoch: [ 75] [1650/4000] time: 44086.1104, dice0 = 0.03957, cross0 = 0.0471, kl0 = 0.0051, exclusion0 = 0.0350,     dice1 = 0.03716, cross1 = 0.0542, kl1 = 0.0063, exclusion1 = 0.0291
1.089937
Epoch: [ 75] [1700/4000] time: 44093.5292, net0_loss = 0.12633, net0_acc = 0.9810, net0_test_acc = 0.9725,     net1_loss = 0.09706, net1_acc = 0.9844, net1_test_acc = 0.9168
Epoch: [ 75] [1700/4000] time: 44093.5293, dice0 = 0.04576, cross0 = 0.0574, kl0 = 0.0054, exclusion0 = 0.0410,     dice1 = 0.03759, cross1 = 0.0421, kl1 = 0.0031, exclusion1 = 0.0317
1.1488571
Epoch: [ 75] [1750/4000] time: 44100.9380, net0_loss = 0.13393, net0_acc = 0.9774, net0_test_acc = 0.7517,     net1_loss = 0.14319, net1_acc = 0.9770, net1_test_acc = 0.9418
Epoch: [ 75] [1750/4000] time: 44100.9381, dice0 = 0.05163, cross0 = 0.0562, kl0 = 0.0057, exclusion0 = 0.0465,     dice1 = 0.05652, cross1 = 0.0562, kl1 = 0.0059, exclusion1 = 0.0551
1.1733987
Epoch: [ 75] [1800/4000] time: 44108.2664, net0_loss = 0.07303, net0_acc = 0.9892, net0_test_acc = 0.8935,     net1_loss = 0.10428, net1_acc = 0.9838, net1_test_acc = 0.8279
Epoch: [ 75] [1800/4000] time: 44108.2665, dice0 = 0.02718, cross0 = 0.0295, kl0 = 0.0042, exclusion0 = 0.0286,     dice1 = 0.03764, cross1 = 0.0460, kl1 = 0.0072, exclusion1 = 0.0341
1.1932578
Epoch: [ 75] [1850/4000] time: 44115.7281, net0_loss = 0.46072, net0_acc = 0.9247, net0_test_acc = 0.9044,     net1_loss = 0.15876, net1_acc = 0.9747, net1_test_acc = 0.9585
Epoch: [ 75] [1850/4000] time: 44115.7282, dice0 = 0.15721, cross0 = 0.2055, kl0 = 0.0416, exclusion0 = 0.1545,     dice1 = 0.05505, cross1 = 0.0810, kl1 = 0.0069, exclusion1 = 0.0385
1.1188188
Epoch: [ 75] [1900/4000] time: 44123.1598, net0_loss = 0.12771, net0_acc = 0.9772, net0_test_acc = 0.9194,     net1_loss = 0.07340, net1_acc = 0.9876, net1_test_acc = 0.9793
Epoch: [ 75] [1900/4000] time: 44123.1598, dice0 = 0.04629, cross0 = 0.0679, kl0 = 0.0021, exclusion0 = 0.0248,     dice1 = 0.02815, cross1 = 0.0330, kl1 = 0.0023, exclusion1 = 0.0222
1.3339105
Epoch: [ 75] [1950/4000] time: 44130.5614, net0_loss = 0.28375, net0_acc = 0.9556, net0_test_acc = 0.9170,     net1_loss = 0.25026, net1_acc = 0.9581, net1_test_acc = 0.9220
Epoch: [ 75] [1950/4000] time: 44130.5615, dice0 = 0.09464, cross0 = 0.1493, kl0 = 0.0156, exclusion0 = 0.0640,     dice1 = 0.08430, cross1 = 0.1420, kl1 = 0.0056, exclusion1 = 0.0424
1.1138208
Epoch: [ 75] [2000/4000] time: 44137.9716, net0_loss = 0.11952, net0_acc = 0.9844, net0_test_acc = 0.9591,     net1_loss = 0.20338, net1_acc = 0.9690, net1_test_acc = 0.9331
Epoch: [ 75] [2000/4000] time: 44137.9716, dice0 = 0.04257, cross0 = 0.0371, kl0 = 0.0172, exclusion0 = 0.0626,     dice1 = 0.07425, cross1 = 0.0756, kl1 = 0.0196, exclusion1 = 0.0874
1.1485263
Epoch: [ 75] [2050/4000] time: 44145.3949, net0_loss = 0.22913, net0_acc = 0.9627, net0_test_acc = 0.7755,     net1_loss = 0.10113, net1_acc = 0.9854, net1_test_acc = 0.8282
Epoch: [ 75] [2050/4000] time: 44145.3950, dice0 = 0.08670, cross0 = 0.1025, kl0 = 0.0076, exclusion0 = 0.0722,     dice1 = 0.03587, cross1 = 0.0364, kl1 = 0.0121, exclusion1 = 0.0457
1.2766
Epoch: [ 75] [2100/4000] time: 44152.7774, net0_loss = 0.06245, net0_acc = 0.9912, net0_test_acc = 0.8283,     net1_loss = 0.16902, net1_acc = 0.9736, net1_test_acc = 0.8148
Epoch: [ 75] [2100/4000] time: 44152.7774, dice0 = 0.02544, cross0 = 0.0223, kl0 = 0.0023, exclusion0 = 0.0272,     dice1 = 0.06265, cross1 = 0.0712, kl1 = 0.0086, exclusion1 = 0.0618
1.20405
Epoch: [ 75] [2150/4000] time: 44160.1670, net0_loss = 0.05610, net0_acc = 0.9921, net0_test_acc = 0.9785,     net1_loss = 0.10277, net1_acc = 0.9846, net1_test_acc = 0.9481
Epoch: [ 75] [2150/4000] time: 44160.1671, dice0 = 0.02267, cross0 = 0.0191, kl0 = 0.0026, exclusion0 = 0.0260,     dice1 = 0.04072, cross1 = 0.0376, kl1 = 0.0048, exclusion1 = 0.0441
1.1169019
Epoch: [ 75] [2200/4000] time: 44167.5762, net0_loss = 0.04449, net0_acc = 0.9941, net0_test_acc = 0.9883,     net1_loss = 0.07218, net1_acc = 0.9884, net1_test_acc = 0.9489
Epoch: [ 75] [2200/4000] time: 44167.5763, dice0 = 0.01778, cross0 = 0.0151, kl0 = 0.0020, exclusion0 = 0.0213,     dice1 = 0.02794, cross1 = 0.0286, kl1 = 0.0032, exclusion1 = 0.0280
1.1336832
Epoch: [ 75] [2250/4000] time: 44174.9641, net0_loss = 0.11684, net0_acc = 0.9801, net0_test_acc = 0.9486,     net1_loss = 0.39551, net1_acc = 0.9321, net1_test_acc = 0.8293
Epoch: [ 75] [2250/4000] time: 44174.9642, dice0 = 0.04548, cross0 = 0.0467, kl0 = 0.0058, exclusion0 = 0.0434,     dice1 = 0.13612, cross1 = 0.1964, kl1 = 0.0190, exclusion1 = 0.1069
1.1408205
Epoch: [ 75] [2300/4000] time: 44182.3405, net0_loss = 0.09862, net0_acc = 0.9847, net0_test_acc = 0.9800,     net1_loss = 0.15450, net1_acc = 0.9744, net1_test_acc = 0.8807
Epoch: [ 75] [2300/4000] time: 44182.3405, dice0 = 0.03822, cross0 = 0.0403, kl0 = 0.0040, exclusion0 = 0.0362,     dice1 = 0.05754, cross1 = 0.0660, kl1 = 0.0095, exclusion1 = 0.0524
1.151082
Epoch: [ 75] [2350/4000] time: 44189.8109, net0_loss = 0.14525, net0_acc = 0.9773, net0_test_acc = 0.9681,     net1_loss = 0.16678, net1_acc = 0.9699, net1_test_acc = 0.9698
Epoch: [ 75] [2350/4000] time: 44189.8110, dice0 = 0.05185, cross0 = 0.0620, kl0 = 0.0109, exclusion0 = 0.0519,     dice1 = 0.06356, cross1 = 0.0803, kl1 = 0.0039, exclusion1 = 0.0419
1.1215757
Epoch: [ 75] [2400/4000] time: 44197.1924, net0_loss = 0.17610, net0_acc = 0.9749, net0_test_acc = 0.9464,     net1_loss = 0.17417, net1_acc = 0.9724, net1_test_acc = 0.9789
Epoch: [ 75] [2400/4000] time: 44197.1925, dice0 = 0.06735, cross0 = 0.0588, kl0 = 0.0133, exclusion0 = 0.0867,     dice1 = 0.06579, cross1 = 0.0685, kl1 = 0.0105, exclusion1 = 0.0692
1.1934602
Epoch: [ 75] [2450/4000] time: 44204.6088, net0_loss = 0.25409, net0_acc = 0.9578, net0_test_acc = 0.8503,     net1_loss = 0.13033, net1_acc = 0.9790, net1_test_acc = 0.9530
Epoch: [ 75] [2450/4000] time: 44204.6089, dice0 = 0.09589, cross0 = 0.1082, kl0 = 0.0108, exclusion0 = 0.0893,     dice1 = 0.04724, cross1 = 0.0541, kl1 = 0.0104, exclusion1 = 0.0475
1.1319208
Epoch: [ 75] [2500/4000] time: 44212.0029, net0_loss = 0.12551, net0_acc = 0.9779, net0_test_acc = 0.9052,     net1_loss = 0.13025, net1_acc = 0.9791, net1_test_acc = 0.9662
Epoch: [ 75] [2500/4000] time: 44212.0030, dice0 = 0.04714, cross0 = 0.0571, kl0 = 0.0059, exclusion0 = 0.0367,     dice1 = 0.04862, cross1 = 0.0607, kl1 = 0.0046, exclusion1 = 0.0373
1.0820293
Epoch: [ 75] [2550/4000] time: 44219.3766, net0_loss = 0.22009, net0_acc = 0.9659, net0_test_acc = 0.9681,     net1_loss = 0.38824, net1_acc = 0.9401, net1_test_acc = 0.9509
Epoch: [ 75] [2550/4000] time: 44219.3767, dice0 = 0.08387, cross0 = 0.0811, kl0 = 0.0162, exclusion0 = 0.0941,     dice1 = 0.12407, cross1 = 0.1862, kl1 = 0.0344, exclusion1 = 0.1216
1.1426234
Epoch: [ 75] [2600/4000] time: 44226.7053, net0_loss = 0.05718, net0_acc = 0.9907, net0_test_acc = 0.9048,     net1_loss = 0.15544, net1_acc = 0.9783, net1_test_acc = 0.9731
Epoch: [ 75] [2600/4000] time: 44226.7053, dice0 = 0.02270, cross0 = 0.0214, kl0 = 0.0029, exclusion0 = 0.0232,     dice1 = 0.06218, cross1 = 0.0537, kl1 = 0.0058, exclusion1 = 0.0734
1.1528828
Epoch: [ 75] [2650/4000] time: 44234.1965, net0_loss = 0.10495, net0_acc = 0.9829, net0_test_acc = 0.9799,     net1_loss = 0.13500, net1_acc = 0.9773, net1_test_acc = 0.9505
Epoch: [ 75] [2650/4000] time: 44234.1965, dice0 = 0.04029, cross0 = 0.0443, kl0 = 0.0041, exclusion0 = 0.0366,     dice1 = 0.05096, cross1 = 0.0566, kl1 = 0.0071, exclusion1 = 0.0478
1.2279395
Epoch: [ 75] [2700/4000] time: 44241.6229, net0_loss = 0.07931, net0_acc = 0.9881, net0_test_acc = 0.7527,     net1_loss = 0.24821, net1_acc = 0.9560, net1_test_acc = 0.9053
Epoch: [ 75] [2700/4000] time: 44241.6229, dice0 = 0.03061, cross0 = 0.0293, kl0 = 0.0044, exclusion0 = 0.0343,     dice1 = 0.09113, cross1 = 0.1204, kl1 = 0.0092, exclusion1 = 0.0642
1.0886204
Epoch: [ 75] [2750/4000] time: 44249.0474, net0_loss = 0.20874, net0_acc = 0.9642, net0_test_acc = 0.9234,     net1_loss = 0.08948, net1_acc = 0.9856, net1_test_acc = 0.9400
Epoch: [ 75] [2750/4000] time: 44249.0475, dice0 = 0.07678, cross0 = 0.0954, kl0 = 0.0103, exclusion0 = 0.0628,     dice1 = 0.03551, cross1 = 0.0349, kl1 = 0.0032, exclusion1 = 0.0349
1.1612601
Epoch: [ 75] [2800/4000] time: 44256.4014, net0_loss = 0.17668, net0_acc = 0.9715, net0_test_acc = 0.9290,     net1_loss = 0.17445, net1_acc = 0.9729, net1_test_acc = 0.9485
Epoch: [ 75] [2800/4000] time: 44256.4014, dice0 = 0.06977, cross0 = 0.0660, kl0 = 0.0091, exclusion0 = 0.0727,     dice1 = 0.06618, cross1 = 0.0683, kl1 = 0.0115, exclusion1 = 0.0685
1.1173626
Epoch: [ 75] [2850/4000] time: 44263.8096, net0_loss = 0.13286, net0_acc = 0.9763, net0_test_acc = 0.9493,     net1_loss = 0.14574, net1_acc = 0.9771, net1_test_acc = 0.9264
Epoch: [ 75] [2850/4000] time: 44263.8096, dice0 = 0.04964, cross0 = 0.0607, kl0 = 0.0059, exclusion0 = 0.0391,     dice1 = 0.05418, cross1 = 0.0544, kl1 = 0.0119, exclusion1 = 0.0625
1.1359835
Epoch: [ 75] [2900/4000] time: 44271.2197, net0_loss = 0.07442, net0_acc = 0.9896, net0_test_acc = 0.8107,     net1_loss = 0.07616, net1_acc = 0.9888, net1_test_acc = 0.9337
Epoch: [ 75] [2900/4000] time: 44271.2198, dice0 = 0.02854, cross0 = 0.0259, kl0 = 0.0048, exclusion0 = 0.0352,     dice1 = 0.02992, cross1 = 0.0285, kl1 = 0.0033, exclusion1 = 0.0322
1.2351493
Epoch: [ 75] [2950/4000] time: 44278.5688, net0_loss = 0.13185, net0_acc = 0.9787, net0_test_acc = 0.9136,     net1_loss = 0.12948, net1_acc = 0.9799, net1_test_acc = 0.8896
Epoch: [ 75] [2950/4000] time: 44278.5689, dice0 = 0.04876, cross0 = 0.0596, kl0 = 0.0062, exclusion0 = 0.0407,     dice1 = 0.04629, cross1 = 0.0641, kl1 = 0.0037, exclusion1 = 0.0345
1.1277847
Epoch: [ 75] [3000/4000] time: 44286.0150, net0_loss = 0.10830, net0_acc = 0.9835, net0_test_acc = 0.9451,     net1_loss = 0.16479, net1_acc = 0.9726, net1_test_acc = 0.9381
Epoch: [ 75] [3000/4000] time: 44286.0151, dice0 = 0.03688, cross0 = 0.0473, kl0 = 0.0105, exclusion0 = 0.0377,     dice1 = 0.06383, cross1 = 0.0647, kl1 = 0.0086, exclusion1 = 0.0638
1.142412
Epoch: [ 75] [3050/4000] time: 44293.4294, net0_loss = 0.15039, net0_acc = 0.9722, net0_test_acc = 0.8369,     net1_loss = 0.15811, net1_acc = 0.9723, net1_test_acc = 0.9373
Epoch: [ 75] [3050/4000] time: 44293.4295, dice0 = 0.05516, cross0 = 0.0766, kl0 = 0.0044, exclusion0 = 0.0329,     dice1 = 0.05730, cross1 = 0.0788, kl1 = 0.0061, exclusion1 = 0.0378
1.2012157
Epoch: [ 75] [3100/4000] time: 44300.8813, net0_loss = 0.19666, net0_acc = 0.9701, net0_test_acc = 0.9657,     net1_loss = 0.22598, net1_acc = 0.9628, net1_test_acc = 0.9554
Epoch: [ 75] [3100/4000] time: 44300.8813, dice0 = 0.07401, cross0 = 0.0681, kl0 = 0.0166, exclusion0 = 0.0924,     dice1 = 0.08463, cross1 = 0.1016, kl1 = 0.0073, exclusion1 = 0.0723
1.1918114
Epoch: [ 75] [3150/4000] time: 44308.2810, net0_loss = 0.13949, net0_acc = 0.9775, net0_test_acc = 0.9487,     net1_loss = 0.13537, net1_acc = 0.9767, net1_test_acc = 0.9901
Epoch: [ 75] [3150/4000] time: 44308.2811, dice0 = 0.05384, cross0 = 0.0527, kl0 = 0.0083, exclusion0 = 0.0575,     dice1 = 0.04927, cross1 = 0.0660, kl1 = 0.0047, exclusion1 = 0.0355
1.139908
Epoch: [ 75] [3200/4000] time: 44315.6825, net0_loss = 0.21765, net0_acc = 0.9629, net0_test_acc = 0.9610,     net1_loss = 0.11637, net1_acc = 0.9803, net1_test_acc = 0.9101
Epoch: [ 75] [3200/4000] time: 44315.6826, dice0 = 0.08168, cross0 = 0.0923, kl0 = 0.0124, exclusion0 = 0.0749,     dice1 = 0.04574, cross1 = 0.0477, kl1 = 0.0053, exclusion1 = 0.0406
1.3654993
Epoch: [ 75] [3250/4000] time: 44323.0172, net0_loss = 0.07918, net0_acc = 0.9868, net0_test_acc = 0.8615,     net1_loss = 0.18518, net1_acc = 0.9690, net1_test_acc = 0.9276
Epoch: [ 75] [3250/4000] time: 44323.0173, dice0 = 0.03089, cross0 = 0.0314, kl0 = 0.0036, exclusion0 = 0.0301,     dice1 = 0.06356, cross1 = 0.0901, kl1 = 0.0135, exclusion1 = 0.0495
1.3230935
Epoch: [ 75] [3300/4000] time: 44330.4561, net0_loss = 0.07292, net0_acc = 0.9880, net0_test_acc = 0.8301,     net1_loss = 0.21301, net1_acc = 0.9627, net1_test_acc = 0.9683
Epoch: [ 75] [3300/4000] time: 44330.4562, dice0 = 0.02635, cross0 = 0.0382, kl0 = 0.0010, exclusion0 = 0.0157,     dice1 = 0.08131, cross1 = 0.0934, kl1 = 0.0097, exclusion1 = 0.0668
1.1275935
Epoch: [ 75] [3350/4000] time: 44337.8515, net0_loss = 0.06171, net0_acc = 0.9913, net0_test_acc = 0.9810,     net1_loss = 0.17344, net1_acc = 0.9702, net1_test_acc = 0.9095
Epoch: [ 75] [3350/4000] time: 44337.8515, dice0 = 0.02399, cross0 = 0.0238, kl0 = 0.0047, exclusion0 = 0.0231,     dice1 = 0.06174, cross1 = 0.0906, kl1 = 0.0048, exclusion1 = 0.0375
1.2398224
Epoch: [ 75] [3400/4000] time: 44345.3255, net0_loss = 0.14786, net0_acc = 0.9768, net0_test_acc = 0.9475,     net1_loss = 0.15465, net1_acc = 0.9741, net1_test_acc = 0.9686
Epoch: [ 75] [3400/4000] time: 44345.3255, dice0 = 0.05333, cross0 = 0.0700, kl0 = 0.0061, exclusion0 = 0.0430,     dice1 = 0.05930, cross1 = 0.0696, kl1 = 0.0039, exclusion1 = 0.0477
1.1210759
Epoch: [ 75] [3450/4000] time: 44352.7326, net0_loss = 0.11601, net0_acc = 0.9809, net0_test_acc = 0.8996,     net1_loss = 0.17088, net1_acc = 0.9700, net1_test_acc = 0.9187
Epoch: [ 75] [3450/4000] time: 44352.7326, dice0 = 0.04280, cross0 = 0.0553, kl0 = 0.0040, exclusion0 = 0.0319,     dice1 = 0.06093, cross1 = 0.0931, kl1 = 0.0034, exclusion1 = 0.0303
1.185993
Epoch: [ 75] [3500/4000] time: 44360.1258, net0_loss = 0.21280, net0_acc = 0.9647, net0_test_acc = 0.9360,     net1_loss = 0.21141, net1_acc = 0.9694, net1_test_acc = 0.8898
Epoch: [ 75] [3500/4000] time: 44360.1259, dice0 = 0.07531, cross0 = 0.0972, kl0 = 0.0160, exclusion0 = 0.0646,     dice1 = 0.07796, cross1 = 0.0769, kl1 = 0.0172, exclusion1 = 0.0959
1.1768458
Epoch: [ 75] [3550/4000] time: 44367.5572, net0_loss = 0.08757, net0_acc = 0.9849, net0_test_acc = 0.9679,     net1_loss = 0.13369, net1_acc = 0.9767, net1_test_acc = 0.9502
Epoch: [ 75] [3550/4000] time: 44367.5572, dice0 = 0.03368, cross0 = 0.0391, kl0 = 0.0035, exclusion0 = 0.0260,     dice1 = 0.05039, cross1 = 0.0667, kl1 = 0.0025, exclusion1 = 0.0306
1.1922172
Epoch: [ 75] [3600/4000] time: 44374.9657, net0_loss = 0.07694, net0_acc = 0.9871, net0_test_acc = 0.9568,     net1_loss = 0.14912, net1_acc = 0.9766, net1_test_acc = 0.9493
Epoch: [ 75] [3600/4000] time: 44374.9657, dice0 = 0.03048, cross0 = 0.0324, kl0 = 0.0022, exclusion0 = 0.0259,     dice1 = 0.05414, cross1 = 0.0597, kl1 = 0.0123, exclusion1 = 0.0581
1.2862093
Epoch: [ 75] [3650/4000] time: 44382.3570, net0_loss = 0.07006, net0_acc = 0.9888, net0_test_acc = 0.9434,     net1_loss = 0.10487, net1_acc = 0.9852, net1_test_acc = 0.7770
Epoch: [ 75] [3650/4000] time: 44382.3571, dice0 = 0.02806, cross0 = 0.0256, kl0 = 0.0033, exclusion0 = 0.0296,     dice1 = 0.04029, cross1 = 0.0347, kl1 = 0.0077, exclusion1 = 0.0519
1.2019784
Epoch: [ 75] [3700/4000] time: 44389.7594, net0_loss = 0.13981, net0_acc = 0.9785, net0_test_acc = 0.8439,     net1_loss = 0.03555, net1_acc = 0.9948, net1_test_acc = 0.8962
Epoch: [ 75] [3700/4000] time: 44389.7595, dice0 = 0.05245, cross0 = 0.0548, kl0 = 0.0109, exclusion0 = 0.0542,     dice1 = 0.01459, cross1 = 0.0132, kl1 = 0.0009, exclusion1 = 0.0146
1.3495626
Epoch: [ 75] [3750/4000] time: 44397.1892, net0_loss = 0.09689, net0_acc = 0.9851, net0_test_acc = 0.9212,     net1_loss = 0.07501, net1_acc = 0.9879, net1_test_acc = 0.7837
Epoch: [ 75] [3750/4000] time: 44397.1893, dice0 = 0.03777, cross0 = 0.0406, kl0 = 0.0032, exclusion0 = 0.0339,     dice1 = 0.02897, cross1 = 0.0319, kl1 = 0.0030, exclusion1 = 0.0254
1.1971732
Epoch: [ 75] [3800/4000] time: 44404.5022, net0_loss = 0.10955, net0_acc = 0.9831, net0_test_acc = 0.9359,     net1_loss = 0.16291, net1_acc = 0.9770, net1_test_acc = 0.9368
Epoch: [ 75] [3800/4000] time: 44404.5023, dice0 = 0.04012, cross0 = 0.0419, kl0 = 0.0087, exclusion0 = 0.0463,     dice1 = 0.05850, cross1 = 0.0568, kl1 = 0.0188, exclusion1 = 0.0764
1.2100955
Epoch: [ 75] [3850/4000] time: 44411.9779, net0_loss = 0.16231, net0_acc = 0.9743, net0_test_acc = 0.9381,     net1_loss = 0.09227, net1_acc = 0.9879, net1_test_acc = 0.9417
Epoch: [ 75] [3850/4000] time: 44411.9779, dice0 = 0.06298, cross0 = 0.0639, kl0 = 0.0090, exclusion0 = 0.0619,     dice1 = 0.03417, cross1 = 0.0297, kl1 = 0.0089, exclusion1 = 0.0480
1.1455569
Epoch: [ 75] [3900/4000] time: 44419.3097, net0_loss = 0.14364, net0_acc = 0.9780, net0_test_acc = 0.9740,     net1_loss = 0.08733, net1_acc = 0.9858, net1_test_acc = 0.9178
Epoch: [ 75] [3900/4000] time: 44419.3099, dice0 = 0.05242, cross0 = 0.0594, kl0 = 0.0115, exclusion0 = 0.0521,     dice1 = 0.03384, cross1 = 0.0333, kl1 = 0.0052, exclusion1 = 0.0352
1.1234477
Epoch: [ 75] [3950/4000] time: 44426.7279, net0_loss = 0.06691, net0_acc = 0.9906, net0_test_acc = 0.8883,     net1_loss = 0.11107, net1_acc = 0.9841, net1_test_acc = 0.8663
Epoch: [ 75] [3950/4000] time: 44426.7280, dice0 = 0.02641, cross0 = 0.0221, kl0 = 0.0039, exclusion0 = 0.0329,     dice1 = 0.04335, cross1 = 0.0378, kl1 = 0.0077, exclusion1 = 0.0521
1.1876626
Epoch: [ 76] [  0/4000] time: 44435.1553, net0_loss = 0.19148, net0_acc = 0.9668, net0_test_acc = 0.9546,     net1_loss = 0.15233, net1_acc = 0.9743, net1_test_acc = 0.9801
Epoch: [ 76] [  0/4000] time: 44435.1554, dice0 = 0.06915, cross0 = 0.0931, kl0 = 0.0076, exclusion0 = 0.0508,     dice1 = 0.05801, cross1 = 0.0661, kl1 = 0.0065, exclusion1 = 0.0500
1.2106526
Epoch: [ 76] [ 50/4000] time: 44442.7074, net0_loss = 0.07009, net0_acc = 0.9892, net0_test_acc = 0.8725,     net1_loss = 0.17956, net1_acc = 0.9703, net1_test_acc = 0.8275
Epoch: [ 76] [ 50/4000] time: 44442.7074, dice0 = 0.02866, cross0 = 0.0257, kl0 = 0.0018, exclusion0 = 0.0295,     dice1 = 0.06629, cross1 = 0.0776, kl1 = 0.0112, exclusion1 = 0.0602
1.1380824
Epoch: [ 76] [100/4000] time: 44450.0959, net0_loss = 0.03888, net0_acc = 0.9948, net0_test_acc = 0.9190,     net1_loss = 0.20974, net1_acc = 0.9659, net1_test_acc = 0.8997
Epoch: [ 76] [100/4000] time: 44450.0959, dice0 = 0.01534, cross0 = 0.0140, kl0 = 0.0020, exclusion0 = 0.0171,     dice1 = 0.07663, cross1 = 0.0946, kl1 = 0.0115, exclusion1 = 0.0654
1.1506284
Epoch: [ 76] [150/4000] time: 44457.4445, net0_loss = 0.27379, net0_acc = 0.9564, net0_test_acc = 0.9560,     net1_loss = 0.05072, net1_acc = 0.9931, net1_test_acc = 0.9548
Epoch: [ 76] [150/4000] time: 44457.4446, dice0 = 0.09177, cross0 = 0.1445, kl0 = 0.0101, exclusion0 = 0.0649,     dice1 = 0.02018, cross1 = 0.0161, kl1 = 0.0040, exclusion1 = 0.0248
1.1647944
Epoch: [ 76] [200/4000] time: 44464.8891, net0_loss = 0.17362, net0_acc = 0.9731, net0_test_acc = 0.9180,     net1_loss = 0.16545, net1_acc = 0.9734, net1_test_acc = 0.9903
Epoch: [ 76] [200/4000] time: 44464.8892, dice0 = 0.06298, cross0 = 0.0782, kl0 = 0.0092, exclusion0 = 0.0556,     dice1 = 0.06056, cross1 = 0.0639, kl1 = 0.0145, exclusion1 = 0.0675
1.2536778
Epoch: [ 76] [250/4000] time: 44472.2785, net0_loss = 0.15904, net0_acc = 0.9752, net0_test_acc = 0.8836,     net1_loss = 0.25704, net1_acc = 0.9604, net1_test_acc = 0.7926
Epoch: [ 76] [250/4000] time: 44472.2785, dice0 = 0.05889, cross0 = 0.0659, kl0 = 0.0089, exclusion0 = 0.0596,     dice1 = 0.08471, cross1 = 0.1424, kl1 = 0.0079, exclusion1 = 0.0520
1.1702726
Epoch: [ 76] [300/4000] time: 44479.7358, net0_loss = 0.14314, net0_acc = 0.9778, net0_test_acc = 0.8802,     net1_loss = 0.09149, net1_acc = 0.9861, net1_test_acc = 0.9859
Epoch: [ 76] [300/4000] time: 44479.7358, dice0 = 0.05528, cross0 = 0.0579, kl0 = 0.0060, exclusion0 = 0.0539,     dice1 = 0.03695, cross1 = 0.0326, kl1 = 0.0035, exclusion1 = 0.0404
1.1379005
Epoch: [ 76] [350/4000] time: 44487.0320, net0_loss = 0.19394, net0_acc = 0.9690, net0_test_acc = 0.9212,     net1_loss = 0.06158, net1_acc = 0.9903, net1_test_acc = 0.9262
Epoch: [ 76] [350/4000] time: 44487.0321, dice0 = 0.06364, cross0 = 0.1116, kl0 = 0.0048, exclusion0 = 0.0326,     dice1 = 0.02486, cross1 = 0.0241, kl1 = 0.0021, exclusion1 = 0.0232
1.2911
Epoch: [ 76] [400/4000] time: 44494.5168, net0_loss = 0.08634, net0_acc = 0.9869, net0_test_acc = 0.8564,     net1_loss = 0.11424, net1_acc = 0.9816, net1_test_acc = 0.9093
Epoch: [ 76] [400/4000] time: 44494.5168, dice0 = 0.03362, cross0 = 0.0326, kl0 = 0.0056, exclusion0 = 0.0347,     dice1 = 0.04050, cross1 = 0.0566, kl1 = 0.0044, exclusion1 = 0.0299
1.1969877
Epoch: [ 76] [450/4000] time: 44501.9102, net0_loss = 0.05377, net0_acc = 0.9919, net0_test_acc = 0.8706,     net1_loss = 0.16481, net1_acc = 0.9719, net1_test_acc = 0.7770
Epoch: [ 76] [450/4000] time: 44501.9102, dice0 = 0.01902, cross0 = 0.0254, kl0 = 0.0023, exclusion0 = 0.0164,     dice1 = 0.06476, cross1 = 0.0675, kl1 = 0.0053, exclusion1 = 0.0597
1.1414992
Epoch: [ 76] [500/4000] time: 44509.2656, net0_loss = 0.22177, net0_acc = 0.9635, net0_test_acc = 0.9098,     net1_loss = 0.14009, net1_acc = 0.9770, net1_test_acc = 0.8947
Epoch: [ 76] [500/4000] time: 44509.2656, dice0 = 0.08030, cross0 = 0.0999, kl0 = 0.0115, exclusion0 = 0.0717,     dice1 = 0.05437, cross1 = 0.0595, kl1 = 0.0041, exclusion1 = 0.0483
1.1087626
Epoch: [ 76] [550/4000] time: 44516.7470, net0_loss = 0.16342, net0_acc = 0.9721, net0_test_acc = 0.9276,     net1_loss = 0.18526, net1_acc = 0.9693, net1_test_acc = 0.9253
Epoch: [ 76] [550/4000] time: 44516.7470, dice0 = 0.05851, cross0 = 0.0793, kl0 = 0.0086, exclusion0 = 0.0427,     dice1 = 0.06963, cross1 = 0.0786, kl1 = 0.0090, exclusion1 = 0.0651
1.1719068
Epoch: [ 76] [600/4000] time: 44524.1426, net0_loss = 0.12264, net0_acc = 0.9796, net0_test_acc = 0.8772,     net1_loss = 0.10766, net1_acc = 0.9843, net1_test_acc = 0.9261
Epoch: [ 76] [600/4000] time: 44524.1427, dice0 = 0.04608, cross0 = 0.0557, kl0 = 0.0049, exclusion0 = 0.0367,     dice1 = 0.04073, cross1 = 0.0379, kl1 = 0.0085, exclusion1 = 0.0495
1.2316415
Epoch: [ 76] [650/4000] time: 44531.5386, net0_loss = 0.23104, net0_acc = 0.9629, net0_test_acc = 0.9446,     net1_loss = 0.11759, net1_acc = 0.9813, net1_test_acc = 0.9371
Epoch: [ 76] [650/4000] time: 44531.5387, dice0 = 0.07759, cross0 = 0.1096, kl0 = 0.0221, exclusion0 = 0.0656,     dice1 = 0.04503, cross1 = 0.0444, kl1 = 0.0080, exclusion1 = 0.0484
1.1332223
Epoch: [ 76] [700/4000] time: 44538.9424, net0_loss = 0.09751, net0_acc = 0.9827, net0_test_acc = 0.9807,     net1_loss = 0.12378, net1_acc = 0.9795, net1_test_acc = 0.9897
Epoch: [ 76] [700/4000] time: 44538.9425, dice0 = 0.03802, cross0 = 0.0435, kl0 = 0.0035, exclusion0 = 0.0285,     dice1 = 0.04796, cross1 = 0.0521, kl1 = 0.0049, exclusion1 = 0.0425
1.1369945
Epoch: [ 76] [750/4000] time: 44546.3465, net0_loss = 0.21624, net0_acc = 0.9638, net0_test_acc = 0.9454,     net1_loss = 0.21907, net1_acc = 0.9638, net1_test_acc = 0.9567
Epoch: [ 76] [750/4000] time: 44546.3466, dice0 = 0.08130, cross0 = 0.0899, kl0 = 0.0123, exclusion0 = 0.0779,     dice1 = 0.07842, cross1 = 0.0924, kl1 = 0.0156, exclusion1 = 0.0809
1.078408
Epoch: [ 76] [800/4000] time: 44553.6892, net0_loss = 0.15049, net0_acc = 0.9762, net0_test_acc = 0.9756,     net1_loss = 0.10472, net1_acc = 0.9846, net1_test_acc = 0.9247
Epoch: [ 76] [800/4000] time: 44553.6892, dice0 = 0.05645, cross0 = 0.0636, kl0 = 0.0071, exclusion0 = 0.0536,     dice1 = 0.03638, cross1 = 0.0498, kl1 = 0.0046, exclusion1 = 0.0324
1.1110158
Epoch: [ 76] [850/4000] time: 44561.1019, net0_loss = 0.06223, net0_acc = 0.9903, net0_test_acc = 0.8979,     net1_loss = 0.12108, net1_acc = 0.9813, net1_test_acc = 0.9874
Epoch: [ 76] [850/4000] time: 44561.1019, dice0 = 0.02338, cross0 = 0.0254, kl0 = 0.0033, exclusion0 = 0.0236,     dice1 = 0.04310, cross1 = 0.0586, kl1 = 0.0044, exclusion1 = 0.0344
1.1733929
Epoch: [ 76] [900/4000] time: 44568.5155, net0_loss = 0.08150, net0_acc = 0.9896, net0_test_acc = 0.8866,     net1_loss = 0.12757, net1_acc = 0.9801, net1_test_acc = 0.9898
Epoch: [ 76] [900/4000] time: 44568.5155, dice0 = 0.02970, cross0 = 0.0250, kl0 = 0.0081, exclusion0 = 0.0455,     dice1 = 0.04481, cross1 = 0.0555, kl1 = 0.0109, exclusion1 = 0.0435
1.3015423
Epoch: [ 76] [950/4000] time: 44575.9100, net0_loss = 0.08932, net0_acc = 0.9855, net0_test_acc = 0.9179,     net1_loss = 0.08237, net1_acc = 0.9883, net1_test_acc = 0.9143
Epoch: [ 76] [950/4000] time: 44575.9100, dice0 = 0.03652, cross0 = 0.0341, kl0 = 0.0022, exclusion0 = 0.0352,     dice1 = 0.03287, cross1 = 0.0288, kl1 = 0.0038, exclusion1 = 0.0376
1.1321129
Epoch: [ 76] [1000/4000] time: 44583.3264, net0_loss = 0.31368, net0_acc = 0.9469, net0_test_acc = 0.9691,     net1_loss = 0.11828, net1_acc = 0.9816, net1_test_acc = 0.9587
Epoch: [ 76] [1000/4000] time: 44583.3265, dice0 = 0.11085, cross0 = 0.1345, kl0 = 0.0262, exclusion0 = 0.1104,     dice1 = 0.04813, cross1 = 0.0436, kl1 = 0.0037, exclusion1 = 0.0494
1.1256766
Epoch: [ 76] [1050/4000] time: 44590.7493, net0_loss = 0.08844, net0_acc = 0.9884, net0_test_acc = 0.7455,     net1_loss = 0.13705, net1_acc = 0.9769, net1_test_acc = 0.8987
Epoch: [ 76] [1050/4000] time: 44590.7494, dice0 = 0.03244, cross0 = 0.0298, kl0 = 0.0076, exclusion0 = 0.0447,     dice1 = 0.05452, cross1 = 0.0533, kl1 = 0.0052, exclusion1 = 0.0532
1.1496471
Epoch: [ 76] [1100/4000] time: 44598.1743, net0_loss = 0.10538, net0_acc = 0.9831, net0_test_acc = 0.8394,     net1_loss = 0.03218, net1_acc = 0.9952, net1_test_acc = 0.8010
Epoch: [ 76] [1100/4000] time: 44598.1744, dice0 = 0.04147, cross0 = 0.0402, kl0 = 0.0058, exclusion0 = 0.0417,     dice1 = 0.01314, cross1 = 0.0121, kl1 = 0.0010, exclusion1 = 0.0129
1.3155743
Epoch: [ 76] [1150/4000] time: 44605.5774, net0_loss = 0.18152, net0_acc = 0.9718, net0_test_acc = 0.9842,     net1_loss = 0.08009, net1_acc = 0.9874, net1_test_acc = 0.9683
Epoch: [ 76] [1150/4000] time: 44605.5775, dice0 = 0.06256, cross0 = 0.0831, kl0 = 0.0130, exclusion0 = 0.0587,     dice1 = 0.03093, cross1 = 0.0299, kl1 = 0.0047, exclusion1 = 0.0337
1.1934716
Epoch: [ 76] [1200/4000] time: 44612.9618, net0_loss = 0.12782, net0_acc = 0.9796, net0_test_acc = 0.9385,     net1_loss = 0.13016, net1_acc = 0.9788, net1_test_acc = 0.9475
Epoch: [ 76] [1200/4000] time: 44612.9619, dice0 = 0.04735, cross0 = 0.0548, kl0 = 0.0079, exclusion0 = 0.0434,     dice1 = 0.04677, cross1 = 0.0628, kl1 = 0.0045, exclusion1 = 0.0366
1.2700423
Epoch: [ 76] [1250/4000] time: 44620.3700, net0_loss = 0.15601, net0_acc = 0.9743, net0_test_acc = 0.9524,     net1_loss = 0.14914, net1_acc = 0.9744, net1_test_acc = 0.9821
Epoch: [ 76] [1250/4000] time: 44620.3701, dice0 = 0.05970, cross0 = 0.0669, kl0 = 0.0058, exclusion0 = 0.0530,     dice1 = 0.05655, cross1 = 0.0633, kl1 = 0.0072, exclusion1 = 0.0515
1.1905055
Epoch: [ 76] [1300/4000] time: 44627.7693, net0_loss = 0.07995, net0_acc = 0.9881, net0_test_acc = 0.8880,     net1_loss = 0.15079, net1_acc = 0.9758, net1_test_acc = 0.9755
Epoch: [ 76] [1300/4000] time: 44627.7693, dice0 = 0.02877, cross0 = 0.0290, kl0 = 0.0094, exclusion0 = 0.0350,     dice1 = 0.05279, cross1 = 0.0598, kl1 = 0.0151, exclusion1 = 0.0613
1.1148398
Epoch: [ 76] [1350/4000] time: 44635.1964, net0_loss = 0.20731, net0_acc = 0.9654, net0_test_acc = 0.9518,     net1_loss = 0.14017, net1_acc = 0.9756, net1_test_acc = 0.9351
Epoch: [ 76] [1350/4000] time: 44635.1965, dice0 = 0.07483, cross0 = 0.1042, kl0 = 0.0061, exclusion0 = 0.0505,     dice1 = 0.05306, cross1 = 0.0608, kl1 = 0.0082, exclusion1 = 0.0444
1.3333014
Epoch: [ 76] [1400/4000] time: 44642.5778, net0_loss = 0.08078, net0_acc = 0.9880, net0_test_acc = 0.9323,     net1_loss = 0.12257, net1_acc = 0.9809, net1_test_acc = 0.9108
Epoch: [ 76] [1400/4000] time: 44642.5778, dice0 = 0.03240, cross0 = 0.0293, kl0 = 0.0031, exclusion0 = 0.0351,     dice1 = 0.04513, cross1 = 0.0508, kl1 = 0.0070, exclusion1 = 0.0462
1.2696409
Epoch: [ 76] [1450/4000] time: 44649.9838, net0_loss = 0.20357, net0_acc = 0.9671, net0_test_acc = 0.9738,     net1_loss = 0.07177, net1_acc = 0.9895, net1_test_acc = 0.9184
Epoch: [ 76] [1450/4000] time: 44649.9838, dice0 = 0.07404, cross0 = 0.0899, kl0 = 0.0099, exclusion0 = 0.0693,     dice1 = 0.02693, cross1 = 0.0302, kl1 = 0.0036, exclusion1 = 0.0257
1.1167245
Epoch: [ 76] [1500/4000] time: 44657.3970, net0_loss = 0.13265, net0_acc = 0.9794, net0_test_acc = 0.7607,     net1_loss = 0.16684, net1_acc = 0.9725, net1_test_acc = 0.9424
Epoch: [ 76] [1500/4000] time: 44657.3970, dice0 = 0.05190, cross0 = 0.0476, kl0 = 0.0079, exclusion0 = 0.0584,     dice1 = 0.06118, cross1 = 0.0741, kl1 = 0.0096, exclusion1 = 0.0536
1.0314379
Epoch: [ 76] [1550/4000] time: 44664.8385, net0_loss = 0.12779, net0_acc = 0.9769, net0_test_acc = 0.8874,     net1_loss = 0.07418, net1_acc = 0.9878, net1_test_acc = 0.8189
Epoch: [ 76] [1550/4000] time: 44664.8386, dice0 = 0.04954, cross0 = 0.0575, kl0 = 0.0043, exclusion0 = 0.0372,     dice1 = 0.02757, cross1 = 0.0322, kl1 = 0.0042, exclusion1 = 0.0247
1.4510972
Epoch: [ 76] [1600/4000] time: 44672.2428, net0_loss = 0.14943, net0_acc = 0.9749, net0_test_acc = 0.8880,     net1_loss = 0.15290, net1_acc = 0.9779, net1_test_acc = 0.9645
Epoch: [ 76] [1600/4000] time: 44672.2429, dice0 = 0.05646, cross0 = 0.0598, kl0 = 0.0127, exclusion0 = 0.0536,     dice1 = 0.05629, cross1 = 0.0558, kl1 = 0.0171, exclusion1 = 0.0645
1.1469657
Epoch: [ 76] [1650/4000] time: 44679.5779, net0_loss = 0.17516, net0_acc = 0.9715, net0_test_acc = 0.9068,     net1_loss = 0.20377, net1_acc = 0.9690, net1_test_acc = 0.9783
Epoch: [ 76] [1650/4000] time: 44679.5780, dice0 = 0.06478, cross0 = 0.0793, kl0 = 0.0080, exclusion0 = 0.0541,     dice1 = 0.07513, cross1 = 0.0752, kl1 = 0.0164, exclusion1 = 0.0905
1.1514639
Epoch: [ 76] [1700/4000] time: 44686.9638, net0_loss = 0.11907, net0_acc = 0.9835, net0_test_acc = 0.9155,     net1_loss = 0.14485, net1_acc = 0.9808, net1_test_acc = 0.9192
Epoch: [ 76] [1700/4000] time: 44686.9638, dice0 = 0.04185, cross0 = 0.0501, kl0 = 0.0092, exclusion0 = 0.0450,     dice1 = 0.05751, cross1 = 0.0529, kl1 = 0.0067, exclusion1 = 0.0621
1.1595452
Epoch: [ 76] [1750/4000] time: 44694.3959, net0_loss = 0.11416, net0_acc = 0.9814, net0_test_acc = 0.9524,     net1_loss = 0.10650, net1_acc = 0.9835, net1_test_acc = 0.9419
Epoch: [ 76] [1750/4000] time: 44694.3959, dice0 = 0.04283, cross0 = 0.0464, kl0 = 0.0075, exclusion0 = 0.0424,     dice1 = 0.04017, cross1 = 0.0430, kl1 = 0.0049, exclusion1 = 0.0418
1.1568298
Epoch: [ 76] [1800/4000] time: 44701.8516, net0_loss = 0.13997, net0_acc = 0.9791, net0_test_acc = 0.7702,     net1_loss = 0.22893, net1_acc = 0.9640, net1_test_acc = 0.8211
Epoch: [ 76] [1800/4000] time: 44701.8517, dice0 = 0.04988, cross0 = 0.0547, kl0 = 0.0134, exclusion0 = 0.0574,     dice1 = 0.07940, cross1 = 0.1054, kl1 = 0.0174, exclusion1 = 0.0708
1.1280612
Epoch: [ 76] [1850/4000] time: 44709.2774, net0_loss = 0.19816, net0_acc = 0.9682, net0_test_acc = 0.8273,     net1_loss = 0.14616, net1_acc = 0.9757, net1_test_acc = 0.8284
Epoch: [ 76] [1850/4000] time: 44709.2775, dice0 = 0.07946, cross0 = 0.0739, kl0 = 0.0106, exclusion0 = 0.0790,     dice1 = 0.05792, cross1 = 0.0578, kl1 = 0.0049, exclusion1 = 0.0560
1.0665057
Epoch: [ 76] [1900/4000] time: 44716.6094, net0_loss = 0.08410, net0_acc = 0.9874, net0_test_acc = 0.9753,     net1_loss = 0.05165, net1_acc = 0.9924, net1_test_acc = 0.9538
Epoch: [ 76] [1900/4000] time: 44716.6095, dice0 = 0.02930, cross0 = 0.0426, kl0 = 0.0023, exclusion0 = 0.0222,     dice1 = 0.02088, cross1 = 0.0191, kl1 = 0.0016, exclusion1 = 0.0218
1.2153391
Epoch: [ 76] [1950/4000] time: 44724.0330, net0_loss = 0.14473, net0_acc = 0.9775, net0_test_acc = 0.9885,     net1_loss = 0.17590, net1_acc = 0.9682, net1_test_acc = 0.9503
Epoch: [ 76] [1950/4000] time: 44724.0332, dice0 = 0.05547, cross0 = 0.0602, kl0 = 0.0046, exclusion0 = 0.0535,     dice1 = 0.06655, cross1 = 0.0816, kl1 = 0.0068, exclusion1 = 0.0487
1.1027894
Epoch: [ 76] [2000/4000] time: 44731.4676, net0_loss = 0.13182, net0_acc = 0.9818, net0_test_acc = 0.9492,     net1_loss = 0.17022, net1_acc = 0.9717, net1_test_acc = 0.8401
Epoch: [ 76] [2000/4000] time: 44731.4676, dice0 = 0.04316, cross0 = 0.0636, kl0 = 0.0079, exclusion0 = 0.0423,     dice1 = 0.06466, cross1 = 0.0738, kl1 = 0.0083, exclusion1 = 0.0552
1.1045346
Epoch: [ 76] [2050/4000] time: 44738.8679, net0_loss = 0.18785, net0_acc = 0.9696, net0_test_acc = 0.9781,     net1_loss = 0.25735, net1_acc = 0.9589, net1_test_acc = 0.8748
Epoch: [ 76] [2050/4000] time: 44738.8679, dice0 = 0.06289, cross0 = 0.1023, kl0 = 0.0067, exclusion0 = 0.0387,     dice1 = 0.09062, cross1 = 0.1102, kl1 = 0.0207, exclusion1 = 0.0923
1.0752159
Epoch: [ 76] [2100/4000] time: 44746.2916, net0_loss = 0.22361, net0_acc = 0.9630, net0_test_acc = 0.9512,     net1_loss = 0.12072, net1_acc = 0.9784, net1_test_acc = 0.9665
Epoch: [ 76] [2100/4000] time: 44746.2917, dice0 = 0.08144, cross0 = 0.1043, kl0 = 0.0094, exclusion0 = 0.0664,     dice1 = 0.04564, cross1 = 0.0594, kl1 = 0.0031, exclusion1 = 0.0282
1.1971492
Epoch: [ 76] [2150/4000] time: 44753.6108, net0_loss = 0.18899, net0_acc = 0.9689, net0_test_acc = 0.9463,     net1_loss = 0.13460, net1_acc = 0.9774, net1_test_acc = 0.9809
Epoch: [ 76] [2150/4000] time: 44753.6109, dice0 = 0.07197, cross0 = 0.0824, kl0 = 0.0063, exclusion0 = 0.0628,     dice1 = 0.04972, cross1 = 0.0567, kl1 = 0.0103, exclusion1 = 0.0460
1.2465103
Epoch: [ 76] [2200/4000] time: 44761.0565, net0_loss = 0.13563, net0_acc = 0.9761, net0_test_acc = 0.8940,     net1_loss = 0.06068, net1_acc = 0.9909, net1_test_acc = 0.9519
Epoch: [ 76] [2200/4000] time: 44761.0565, dice0 = 0.05119, cross0 = 0.0655, kl0 = 0.0034, exclusion0 = 0.0344,     dice1 = 0.02433, cross1 = 0.0214, kl1 = 0.0029, exclusion1 = 0.0270
1.197729
Epoch: [ 76] [2250/4000] time: 44768.4639, net0_loss = 0.14545, net0_acc = 0.9761, net0_test_acc = 0.9093,     net1_loss = 0.03371, net1_acc = 0.9955, net1_test_acc = 0.9639
Epoch: [ 76] [2250/4000] time: 44768.4640, dice0 = 0.05362, cross0 = 0.0607, kl0 = 0.0103, exclusion0 = 0.0519,     dice1 = 0.01365, cross1 = 0.0118, kl1 = 0.0013, exclusion1 = 0.0153
1.1870565
Epoch: [ 76] [2300/4000] time: 44775.8859, net0_loss = 0.05468, net0_acc = 0.9924, net0_test_acc = 0.9642,     net1_loss = 0.07677, net1_acc = 0.9876, net1_test_acc = 0.9671
Epoch: [ 76] [2300/4000] time: 44775.8859, dice0 = 0.02247, cross0 = 0.0179, kl0 = 0.0031, exclusion0 = 0.0256,     dice1 = 0.03015, cross1 = 0.0309, kl1 = 0.0027, exclusion1 = 0.0287
1.1497772
Epoch: [ 76] [2350/4000] time: 44783.2466, net0_loss = 0.06450, net0_acc = 0.9900, net0_test_acc = 0.9075,     net1_loss = 0.06961, net1_acc = 0.9890, net1_test_acc = 0.9727
Epoch: [ 76] [2350/4000] time: 44783.2467, dice0 = 0.02564, cross0 = 0.0255, kl0 = 0.0024, exclusion0 = 0.0244,     dice1 = 0.02754, cross1 = 0.0279, kl1 = 0.0026, exclusion1 = 0.0258
1.1364484
Epoch: [ 76] [2400/4000] time: 44790.6887, net0_loss = 0.09190, net0_acc = 0.9835, net0_test_acc = 0.9830,     net1_loss = 0.12519, net1_acc = 0.9804, net1_test_acc = 0.9513
Epoch: [ 76] [2400/4000] time: 44790.6888, dice0 = 0.03644, cross0 = 0.0379, kl0 = 0.0040, exclusion0 = 0.0311,     dice1 = 0.04792, cross1 = 0.0553, kl1 = 0.0037, exclusion1 = 0.0403
1.0967735
Epoch: [ 76] [2450/4000] time: 44798.0777, net0_loss = 0.13080, net0_acc = 0.9791, net0_test_acc = 0.7514,     net1_loss = 0.10402, net1_acc = 0.9833, net1_test_acc = 0.9260
Epoch: [ 76] [2450/4000] time: 44798.0778, dice0 = 0.05191, cross0 = 0.0472, kl0 = 0.0077, exclusion0 = 0.0557,     dice1 = 0.04170, cross1 = 0.0388, kl1 = 0.0034, exclusion1 = 0.0436
1.129265
Epoch: [ 76] [2500/4000] time: 44805.4682, net0_loss = 0.12342, net0_acc = 0.9805, net0_test_acc = 0.9246,     net1_loss = 0.14283, net1_acc = 0.9779, net1_test_acc = 0.9452
Epoch: [ 76] [2500/4000] time: 44805.4692, dice0 = 0.04781, cross0 = 0.0486, kl0 = 0.0068, exclusion0 = 0.0473,     dice1 = 0.05447, cross1 = 0.0547, kl1 = 0.0107, exclusion1 = 0.0566
1.1656694
Epoch: [ 76] [2550/4000] time: 44812.8555, net0_loss = 0.06614, net0_acc = 0.9910, net0_test_acc = 0.9193,     net1_loss = 0.16135, net1_acc = 0.9744, net1_test_acc = 0.9381
Epoch: [ 76] [2550/4000] time: 44812.8556, dice0 = 0.02352, cross0 = 0.0260, kl0 = 0.0054, exclusion0 = 0.0278,     dice1 = 0.05992, cross1 = 0.0626, kl1 = 0.0120, exclusion1 = 0.0657
1.226288
Epoch: [ 76] [2600/4000] time: 44820.2542, net0_loss = 0.04933, net0_acc = 0.9923, net0_test_acc = 0.9457,     net1_loss = 0.21515, net1_acc = 0.9641, net1_test_acc = 0.9171
Epoch: [ 76] [2600/4000] time: 44820.2543, dice0 = 0.01838, cross0 = 0.0196, kl0 = 0.0034, exclusion0 = 0.0192,     dice1 = 0.08448, cross1 = 0.0830, kl1 = 0.0105, exclusion1 = 0.0848
1.050371
Epoch: [ 76] [2650/4000] time: 44827.6429, net0_loss = 0.11524, net0_acc = 0.9824, net0_test_acc = 0.8073,     net1_loss = 0.08763, net1_acc = 0.9858, net1_test_acc = 0.9195
Epoch: [ 76] [2650/4000] time: 44827.6430, dice0 = 0.04488, cross0 = 0.0401, kl0 = 0.0090, exclusion0 = 0.0515,     dice1 = 0.03462, cross1 = 0.0351, kl1 = 0.0036, exclusion1 = 0.0322
1.075064
Epoch: [ 76] [2700/4000] time: 44835.0552, net0_loss = 0.14898, net0_acc = 0.9769, net0_test_acc = 0.9132,     net1_loss = 0.15114, net1_acc = 0.9750, net1_test_acc = 0.9102
Epoch: [ 76] [2700/4000] time: 44835.0553, dice0 = 0.05468, cross0 = 0.0551, kl0 = 0.0134, exclusion0 = 0.0651,     dice1 = 0.05485, cross1 = 0.0657, kl1 = 0.0103, exclusion1 = 0.0510
1.0834022
Epoch: [ 76] [2750/4000] time: 44842.4341, net0_loss = 0.15020, net0_acc = 0.9767, net0_test_acc = 0.9489,     net1_loss = 0.25802, net1_acc = 0.9559, net1_test_acc = 0.9401
Epoch: [ 76] [2750/4000] time: 44842.4343, dice0 = 0.05855, cross0 = 0.0599, kl0 = 0.0050, exclusion0 = 0.0585,     dice1 = 0.10036, cross1 = 0.1056, kl1 = 0.0118, exclusion1 = 0.0923
1.146648
Epoch: [ 76] [2800/4000] time: 44849.8120, net0_loss = 0.07150, net0_acc = 0.9895, net0_test_acc = 0.8438,     net1_loss = 0.11269, net1_acc = 0.9820, net1_test_acc = 0.9359
Epoch: [ 76] [2800/4000] time: 44849.8121, dice0 = 0.02734, cross0 = 0.0270, kl0 = 0.0039, exclusion0 = 0.0304,     dice1 = 0.04216, cross1 = 0.0530, kl1 = 0.0032, exclusion1 = 0.0318
1.1859015
Epoch: [ 76] [2850/4000] time: 44857.1999, net0_loss = 0.06347, net0_acc = 0.9900, net0_test_acc = 0.9681,     net1_loss = 0.04853, net1_acc = 0.9936, net1_test_acc = 0.9603
Epoch: [ 76] [2850/4000] time: 44857.2000, dice0 = 0.02294, cross0 = 0.0307, kl0 = 0.0021, exclusion0 = 0.0177,     dice1 = 0.01872, cross1 = 0.0162, kl1 = 0.0041, exclusion1 = 0.0231
1.2526757
Epoch: [ 76] [2900/4000] time: 44864.6274, net0_loss = 0.12478, net0_acc = 0.9854, net0_test_acc = 0.9523,     net1_loss = 0.16850, net1_acc = 0.9713, net1_test_acc = 0.9910
Epoch: [ 76] [2900/4000] time: 44864.6275, dice0 = 0.03741, cross0 = 0.0416, kl0 = 0.0218, exclusion0 = 0.0696,     dice1 = 0.06381, cross1 = 0.0726, kl1 = 0.0093, exclusion1 = 0.0548
1.1792787
Epoch: [ 76] [2950/4000] time: 44872.0562, net0_loss = 0.15519, net0_acc = 0.9771, net0_test_acc = 0.9611,     net1_loss = 0.14166, net1_acc = 0.9762, net1_test_acc = 0.8964
Epoch: [ 76] [2950/4000] time: 44872.0563, dice0 = 0.05158, cross0 = 0.0769, kl0 = 0.0092, exclusion0 = 0.0442,     dice1 = 0.05545, cross1 = 0.0570, kl1 = 0.0060, exclusion1 = 0.0524
1.1654801
Epoch: [ 76] [3000/4000] time: 44879.3272, net0_loss = 0.12509, net0_acc = 0.9802, net0_test_acc = 0.8701,     net1_loss = 0.17032, net1_acc = 0.9733, net1_test_acc = 0.9183
Epoch: [ 76] [3000/4000] time: 44879.3273, dice0 = 0.04609, cross0 = 0.0500, kl0 = 0.0099, exclusion0 = 0.0481,     dice1 = 0.06007, cross1 = 0.0736, kl1 = 0.0152, exclusion1 = 0.0581
1.1715086
Epoch: [ 76] [3050/4000] time: 44886.8239, net0_loss = 0.08482, net0_acc = 0.9871, net0_test_acc = 0.8038,     net1_loss = 0.14899, net1_acc = 0.9746, net1_test_acc = 0.9695
Epoch: [ 76] [3050/4000] time: 44886.8239, dice0 = 0.03315, cross0 = 0.0286, kl0 = 0.0064, exclusion0 = 0.0397,     dice1 = 0.05664, cross1 = 0.0621, kl1 = 0.0091, exclusion1 = 0.0514
1.1293235
Epoch: [ 76] [3100/4000] time: 44894.2617, net0_loss = 0.32521, net0_acc = 0.9482, net0_test_acc = 0.9820,     net1_loss = 0.08362, net1_acc = 0.9867, net1_test_acc = 0.9157
Epoch: [ 76] [3100/4000] time: 44894.2617, dice0 = 0.10887, cross0 = 0.1598, kl0 = 0.0215, exclusion0 = 0.0915,     dice1 = 0.03252, cross1 = 0.0339, kl1 = 0.0033, exclusion1 = 0.0312
1.1769171
Epoch: [ 76] [3150/4000] time: 44901.7125, net0_loss = 0.16103, net0_acc = 0.9763, net0_test_acc = 0.9420,     net1_loss = 0.10230, net1_acc = 0.9855, net1_test_acc = 0.9644
Epoch: [ 76] [3150/4000] time: 44901.7127, dice0 = 0.05470, cross0 = 0.0721, kl0 = 0.0140, exclusion0 = 0.0544,     dice1 = 0.03909, cross1 = 0.0357, kl1 = 0.0073, exclusion1 = 0.0477
1.0759726
Epoch: [ 76] [3200/4000] time: 44909.0889, net0_loss = 0.10098, net0_acc = 0.9886, net0_test_acc = 0.8938,     net1_loss = 0.18885, net1_acc = 0.9707, net1_test_acc = 0.9096
Epoch: [ 76] [3200/4000] time: 44909.0890, dice0 = 0.03753, cross0 = 0.0344, kl0 = 0.0094, exclusion0 = 0.0487,     dice1 = 0.06998, cross1 = 0.0782, kl1 = 0.0120, exclusion1 = 0.0695
1.0046092
Epoch: [ 76] [3250/4000] time: 44916.4852, net0_loss = 0.20217, net0_acc = 0.9655, net0_test_acc = 0.9417,     net1_loss = 0.22863, net1_acc = 0.9615, net1_test_acc = 0.9012
Epoch: [ 76] [3250/4000] time: 44916.4852, dice0 = 0.07195, cross0 = 0.0964, kl0 = 0.0099, exclusion0 = 0.0577,     dice1 = 0.08267, cross1 = 0.1043, kl1 = 0.0139, exclusion1 = 0.0693
1.1172128
Epoch: [ 76] [3300/4000] time: 44923.9261, net0_loss = 0.12580, net0_acc = 0.9769, net0_test_acc = 0.9733,     net1_loss = 0.07651, net1_acc = 0.9879, net1_test_acc = 0.9481
Epoch: [ 76] [3300/4000] time: 44923.9262, dice0 = 0.04703, cross0 = 0.0655, kl0 = 0.0018, exclusion0 = 0.0248,     dice1 = 0.03100, cross1 = 0.0304, kl1 = 0.0023, exclusion1 = 0.0278
1.1733086
Epoch: [ 76] [3350/4000] time: 44931.2662, net0_loss = 0.02926, net0_acc = 0.9962, net0_test_acc = 0.9356,     net1_loss = 0.18766, net1_acc = 0.9678, net1_test_acc = 0.9475
Epoch: [ 76] [3350/4000] time: 44931.2663, dice0 = 0.01162, cross0 = 0.0097, kl0 = 0.0015, exclusion0 = 0.0145,     dice1 = 0.06754, cross1 = 0.0973, kl1 = 0.0067, exclusion1 = 0.0390
1.2854073
Epoch: [ 76] [3400/4000] time: 44938.7165, net0_loss = 0.17931, net0_acc = 0.9747, net0_test_acc = 0.9380,     net1_loss = 0.24225, net1_acc = 0.9617, net1_test_acc = 0.7731
Epoch: [ 76] [3400/4000] time: 44938.7166, dice0 = 0.05829, cross0 = 0.0936, kl0 = 0.0087, exclusion0 = 0.0461,     dice1 = 0.08203, cross1 = 0.1211, kl1 = 0.0132, exclusion1 = 0.0651
1.1374545
Epoch: [ 76] [3450/4000] time: 44946.0446, net0_loss = 0.10787, net0_acc = 0.9820, net0_test_acc = 0.8530,     net1_loss = 0.13695, net1_acc = 0.9801, net1_test_acc = 0.8936
Epoch: [ 76] [3450/4000] time: 44946.0447, dice0 = 0.04326, cross0 = 0.0421, kl0 = 0.0032, exclusion0 = 0.0418,     dice1 = 0.04662, cross1 = 0.0661, kl1 = 0.0087, exclusion1 = 0.0397
1.2483926
Epoch: [ 76] [3500/4000] time: 44953.4651, net0_loss = 0.10941, net0_acc = 0.9820, net0_test_acc = 0.9120,     net1_loss = 0.07271, net1_acc = 0.9895, net1_test_acc = 0.8094
Epoch: [ 76] [3500/4000] time: 44953.4652, dice0 = 0.04127, cross0 = 0.0453, kl0 = 0.0063, exclusion0 = 0.0394,     dice1 = 0.02686, cross1 = 0.0258, kl1 = 0.0061, exclusion1 = 0.0339
1.1619378
Epoch: [ 76] [3550/4000] time: 44960.8567, net0_loss = 0.07705, net0_acc = 0.9884, net0_test_acc = 0.9317,     net1_loss = 0.21901, net1_acc = 0.9718, net1_test_acc = 0.9403
Epoch: [ 76] [3550/4000] time: 44960.8568, dice0 = 0.02660, cross0 = 0.0384, kl0 = 0.0034, exclusion0 = 0.0208,     dice1 = 0.08299, cross1 = 0.0704, kl1 = 0.0193, exclusion1 = 0.1120
1.1242759
Epoch: [ 76] [3600/4000] time: 44968.2177, net0_loss = 0.22303, net0_acc = 0.9647, net0_test_acc = 0.9334,     net1_loss = 0.13995, net1_acc = 0.9788, net1_test_acc = 0.9401
Epoch: [ 76] [3600/4000] time: 44968.2178, dice0 = 0.08075, cross0 = 0.0841, kl0 = 0.0209, exclusion0 = 0.0954,     dice1 = 0.05070, cross1 = 0.0479, kl1 = 0.0164, exclusion1 = 0.0663
1.3239012
Epoch: [ 76] [3650/4000] time: 44975.6644, net0_loss = 0.15800, net0_acc = 0.9760, net0_test_acc = 0.9727,     net1_loss = 0.06559, net1_acc = 0.9916, net1_test_acc = 0.9274
Epoch: [ 76] [3650/4000] time: 44975.6644, dice0 = 0.05412, cross0 = 0.0655, kl0 = 0.0152, exclusion0 = 0.0615,     dice1 = 0.02566, cross1 = 0.0205, kl1 = 0.0049, exclusion1 = 0.0340
1.2111387
Epoch: [ 76] [3700/4000] time: 44983.0608, net0_loss = 0.26176, net0_acc = 0.9548, net0_test_acc = 0.9190,     net1_loss = 0.27594, net1_acc = 0.9566, net1_test_acc = 0.8759
Epoch: [ 76] [3700/4000] time: 44983.0608, dice0 = 0.10123, cross0 = 0.1088, kl0 = 0.0123, exclusion0 = 0.0911,     dice1 = 0.09018, cross1 = 0.1470, kl1 = 0.0100, exclusion1 = 0.0674
1.213597
Epoch: [ 76] [3750/4000] time: 44990.4758, net0_loss = 0.07666, net0_acc = 0.9893, net0_test_acc = 0.9612,     net1_loss = 0.22972, net1_acc = 0.9609, net1_test_acc = 0.9811
Epoch: [ 76] [3750/4000] time: 44990.4758, dice0 = 0.02719, cross0 = 0.0263, kl0 = 0.0089, exclusion0 = 0.0375,     dice1 = 0.08333, cross1 = 0.1072, kl1 = 0.0117, exclusion1 = 0.0666
1.1297841
Epoch: [ 76] [3800/4000] time: 44997.8026, net0_loss = 0.16457, net0_acc = 0.9727, net0_test_acc = 0.8726,     net1_loss = 0.07812, net1_acc = 0.9894, net1_test_acc = 0.8652
Epoch: [ 76] [3800/4000] time: 44997.8027, dice0 = 0.05903, cross0 = 0.0844, kl0 = 0.0048, exclusion0 = 0.0374,     dice1 = 0.02959, cross1 = 0.0272, kl1 = 0.0077, exclusion1 = 0.0349
1.2073398
Epoch: [ 76] [3850/4000] time: 45005.0202, net0_loss = 0.14674, net0_acc = 0.9763, net0_test_acc = 0.9232,     net1_loss = 0.05869, net1_acc = 0.9912, net1_test_acc = 0.8982
Epoch: [ 76] [3850/4000] time: 45005.0203, dice0 = 0.05697, cross0 = 0.0590, kl0 = 0.0074, exclusion0 = 0.0541,     dice1 = 0.02274, cross1 = 0.0223, kl1 = 0.0043, exclusion1 = 0.0229
1.1947132
Epoch: [ 76] [3900/4000] time: 45012.4437, net0_loss = 0.27686, net0_acc = 0.9551, net0_test_acc = 0.9491,     net1_loss = 0.06147, net1_acc = 0.9914, net1_test_acc = 0.9467
Epoch: [ 76] [3900/4000] time: 45012.4438, dice0 = 0.09306, cross0 = 0.1305, kl0 = 0.0225, exclusion0 = 0.0841,     dice1 = 0.02411, cross1 = 0.0240, kl1 = 0.0017, exclusion1 = 0.0250
1.1669533
Epoch: [ 76] [3950/4000] time: 45020.0656, net0_loss = 0.10033, net0_acc = 0.9864, net0_test_acc = 0.9189,     net1_loss = 0.13591, net1_acc = 0.9789, net1_test_acc = 0.9908
Epoch: [ 76] [3950/4000] time: 45020.0657, dice0 = 0.03668, cross0 = 0.0342, kl0 = 0.0098, exclusion0 = 0.0491,     dice1 = 0.05105, cross1 = 0.0524, kl1 = 0.0093, exclusion1 = 0.0556
1.1543238
Epoch: [ 77] [  0/4000] time: 45027.4667, net0_loss = 0.08849, net0_acc = 0.9849, net0_test_acc = 0.9450,     net1_loss = 0.07903, net1_acc = 0.9884, net1_test_acc = 0.7975
Epoch: [ 77] [  0/4000] time: 45027.4668, dice0 = 0.03468, cross0 = 0.0372, kl0 = 0.0039, exclusion0 = 0.0293,     dice1 = 0.03202, cross1 = 0.0281, kl1 = 0.0037, exclusion1 = 0.0342
1.1683207
Epoch: [ 77] [ 50/4000] time: 45034.8766, net0_loss = 0.11193, net0_acc = 0.9816, net0_test_acc = 0.8763,     net1_loss = 0.14995, net1_acc = 0.9760, net1_test_acc = 0.9859
Epoch: [ 77] [ 50/4000] time: 45034.8767, dice0 = 0.04379, cross0 = 0.0459, kl0 = 0.0056, exclusion0 = 0.0388,     dice1 = 0.05524, cross1 = 0.0572, kl1 = 0.0141, exclusion1 = 0.0609
1.2032168
Epoch: [ 77] [100/4000] time: 45042.2111, net0_loss = 0.19800, net0_acc = 0.9691, net0_test_acc = 0.9611,     net1_loss = 0.09207, net1_acc = 0.9881, net1_test_acc = 0.9163
Epoch: [ 77] [100/4000] time: 45042.2112, dice0 = 0.06671, cross0 = 0.0876, kl0 = 0.0192, exclusion0 = 0.0682,     dice1 = 0.03028, cross1 = 0.0312, kl1 = 0.0163, exclusion1 = 0.0449
1.2253959
Epoch: [ 77] [150/4000] time: 45049.5965, net0_loss = 0.07264, net0_acc = 0.9887, net0_test_acc = 0.8635,     net1_loss = 0.11924, net1_acc = 0.9828, net1_test_acc = 0.9074
Epoch: [ 77] [150/4000] time: 45049.5966, dice0 = 0.02827, cross0 = 0.0296, kl0 = 0.0024, exclusion0 = 0.0271,     dice1 = 0.04499, cross1 = 0.0404, kl1 = 0.0117, exclusion1 = 0.0560
1.2165097
Epoch: [ 77] [200/4000] time: 45056.8944, net0_loss = 0.11101, net0_acc = 0.9814, net0_test_acc = 0.9093,     net1_loss = 0.05844, net1_acc = 0.9911, net1_test_acc = 0.8295
Epoch: [ 77] [200/4000] time: 45056.8945, dice0 = 0.04362, cross0 = 0.0458, kl0 = 0.0045, exclusion0 = 0.0386,     dice1 = 0.02283, cross1 = 0.0222, kl1 = 0.0031, exclusion1 = 0.0236
1.1413546
Epoch: [ 77] [250/4000] time: 45064.4663, net0_loss = 0.07103, net0_acc = 0.9897, net0_test_acc = 0.9109,     net1_loss = 0.04704, net1_acc = 0.9929, net1_test_acc = 0.9099
Epoch: [ 77] [250/4000] time: 45064.4663, dice0 = 0.02706, cross0 = 0.0285, kl0 = 0.0044, exclusion0 = 0.0266,     dice1 = 0.01959, cross1 = 0.0166, kl1 = 0.0014, exclusion1 = 0.0203
1.1574836
Epoch: [ 77] [300/4000] time: 45071.8914, net0_loss = 0.07067, net0_acc = 0.9889, net0_test_acc = 0.9312,     net1_loss = 0.24193, net1_acc = 0.9680, net1_test_acc = 0.9276
Epoch: [ 77] [300/4000] time: 45071.8915, dice0 = 0.02760, cross0 = 0.0293, kl0 = 0.0024, exclusion0 = 0.0252,     dice1 = 0.07847, cross1 = 0.0983, kl1 = 0.0246, exclusion1 = 0.1058
1.0735521
Epoch: [ 77] [350/4000] time: 45079.2942, net0_loss = 0.23475, net0_acc = 0.9621, net0_test_acc = 0.8832,     net1_loss = 0.09721, net1_acc = 0.9868, net1_test_acc = 0.9186
Epoch: [ 77] [350/4000] time: 45079.2943, dice0 = 0.08999, cross0 = 0.0920, kl0 = 0.0131, exclusion0 = 0.0926,     dice1 = 0.03767, cross1 = 0.0337, kl1 = 0.0060, exclusion1 = 0.0457
1.0812697
Epoch: [ 77] [400/4000] time: 45086.6563, net0_loss = 0.20114, net0_acc = 0.9658, net0_test_acc = 0.9336,     net1_loss = 0.09020, net1_acc = 0.9863, net1_test_acc = 0.9520
Epoch: [ 77] [400/4000] time: 45086.6564, dice0 = 0.07553, cross0 = 0.0859, kl0 = 0.0109, exclusion0 = 0.0684,     dice1 = 0.03356, cross1 = 0.0395, kl1 = 0.0046, exclusion1 = 0.0296
1.2406914
Epoch: [ 77] [450/4000] time: 45094.0838, net0_loss = 0.06463, net0_acc = 0.9911, net0_test_acc = 0.9815,     net1_loss = 0.19270, net1_acc = 0.9688, net1_test_acc = 0.9900
Epoch: [ 77] [450/4000] time: 45094.0838, dice0 = 0.02480, cross0 = 0.0216, kl0 = 0.0061, exclusion0 = 0.0305,     dice1 = 0.06652, cross1 = 0.0919, kl1 = 0.0127, exclusion1 = 0.0558
1.1435349
Epoch: [ 77] [500/4000] time: 45101.4722, net0_loss = 0.13352, net0_acc = 0.9793, net0_test_acc = 0.9649,     net1_loss = 0.23568, net1_acc = 0.9629, net1_test_acc = 0.9546
Epoch: [ 77] [500/4000] time: 45101.4722, dice0 = 0.04877, cross0 = 0.0540, kl0 = 0.0106, exclusion0 = 0.0508,     dice1 = 0.08072, cross1 = 0.1030, kl1 = 0.0212, exclusion1 = 0.0826
1.0913153
Epoch: [ 77] [550/4000] time: 45108.7306, net0_loss = 0.03508, net0_acc = 0.9949, net0_test_acc = 0.9717,     net1_loss = 0.05277, net1_acc = 0.9928, net1_test_acc = 0.9201
Epoch: [ 77] [550/4000] time: 45108.7307, dice0 = 0.01322, cross0 = 0.0138, kl0 = 0.0017, exclusion0 = 0.0144,     dice1 = 0.02033, cross1 = 0.0166, kl1 = 0.0051, exclusion1 = 0.0267
1.2363514
Epoch: [ 77] [600/4000] time: 45116.3318, net0_loss = 0.09319, net0_acc = 0.9863, net0_test_acc = 0.8852,     net1_loss = 0.17431, net1_acc = 0.9709, net1_test_acc = 0.9893
Epoch: [ 77] [600/4000] time: 45116.3319, dice0 = 0.03539, cross0 = 0.0343, kl0 = 0.0055, exclusion0 = 0.0415,     dice1 = 0.06127, cross1 = 0.0887, kl1 = 0.0073, exclusion1 = 0.0415
1.1878123
Epoch: [ 77] [650/4000] time: 45123.7295, net0_loss = 0.09303, net0_acc = 0.9846, net0_test_acc = 0.8997,     net1_loss = 0.08044, net1_acc = 0.9882, net1_test_acc = 0.9904
Epoch: [ 77] [650/4000] time: 45123.7296, dice0 = 0.03679, cross0 = 0.0361, kl0 = 0.0033, exclusion0 = 0.0370,     dice1 = 0.03226, cross1 = 0.0279, kl1 = 0.0046, exclusion1 = 0.0359
1.1015115
Epoch: [ 77] [700/4000] time: 45131.0230, net0_loss = 0.32911, net0_acc = 0.9382, net0_test_acc = 0.9218,     net1_loss = 0.17120, net1_acc = 0.9725, net1_test_acc = 0.9186
Epoch: [ 77] [700/4000] time: 45131.0231, dice0 = 0.12510, cross0 = 0.1530, kl0 = 0.0114, exclusion0 = 0.0906,     dice1 = 0.06365, cross1 = 0.0706, kl1 = 0.0097, exclusion1 = 0.0642
1.205305
Epoch: [ 77] [750/4000] time: 45138.4291, net0_loss = 0.14671, net0_acc = 0.9776, net0_test_acc = 0.9669,     net1_loss = 0.26165, net1_acc = 0.9544, net1_test_acc = 0.9600
Epoch: [ 77] [750/4000] time: 45138.4291, dice0 = 0.05287, cross0 = 0.0576, kl0 = 0.0115, exclusion0 = 0.0610,     dice1 = 0.09181, cross1 = 0.1318, kl1 = 0.0119, exclusion1 = 0.0643
1.1383957
Epoch: [ 77] [800/4000] time: 45145.8966, net0_loss = 0.15496, net0_acc = 0.9731, net0_test_acc = 0.7545,     net1_loss = 0.30452, net1_acc = 0.9513, net1_test_acc = 0.9367
Epoch: [ 77] [800/4000] time: 45145.8967, dice0 = 0.05693, cross0 = 0.0759, kl0 = 0.0048, exclusion0 = 0.0395,     dice1 = 0.10234, cross1 = 0.1520, kl1 = 0.0164, exclusion1 = 0.0840
1.178446
Epoch: [ 77] [850/4000] time: 45153.3162, net0_loss = 0.08221, net0_acc = 0.9865, net0_test_acc = 0.8417,     net1_loss = 0.23724, net1_acc = 0.9612, net1_test_acc = 0.8363
Epoch: [ 77] [850/4000] time: 45153.3163, dice0 = 0.03230, cross0 = 0.0349, kl0 = 0.0019, exclusion0 = 0.0281,     dice1 = 0.08832, cross1 = 0.0988, kl1 = 0.0139, exclusion1 = 0.0863
1.1319993
Epoch: [ 77] [900/4000] time: 45160.6735, net0_loss = 0.20998, net0_acc = 0.9659, net0_test_acc = 0.9839,     net1_loss = 0.04755, net1_acc = 0.9923, net1_test_acc = 0.9705
Epoch: [ 77] [900/4000] time: 45160.6736, dice0 = 0.07348, cross0 = 0.0918, kl0 = 0.0158, exclusion0 = 0.0736,     dice1 = 0.01976, cross1 = 0.0182, kl1 = 0.0008, exclusion1 = 0.0184
1.2248034
Epoch: [ 77] [950/4000] time: 45168.1006, net0_loss = 0.16160, net0_acc = 0.9718, net0_test_acc = 0.9321,     net1_loss = 0.15244, net1_acc = 0.9771, net1_test_acc = 0.9437
Epoch: [ 77] [950/4000] time: 45168.1007, dice0 = 0.05716, cross0 = 0.0863, kl0 = 0.0035, exclusion0 = 0.0328,     dice1 = 0.05658, cross1 = 0.0572, kl1 = 0.0138, exclusion1 = 0.0636
1.1294351
Epoch: [ 77] [1000/4000] time: 45175.5178, net0_loss = 0.06955, net0_acc = 0.9893, net0_test_acc = 0.9523,     net1_loss = 0.27817, net1_acc = 0.9533, net1_test_acc = 0.9541
Epoch: [ 77] [1000/4000] time: 45175.5179, dice0 = 0.02645, cross0 = 0.0281, kl0 = 0.0036, exclusion0 = 0.0265,     dice1 = 0.10079, cross1 = 0.1266, kl1 = 0.0137, exclusion1 = 0.0879
1.0525119
Epoch: [ 77] [1050/4000] time: 45182.9416, net0_loss = 0.22971, net0_acc = 0.9645, net0_test_acc = 0.8972,     net1_loss = 0.21645, net1_acc = 0.9623, net1_test_acc = 0.9726
Epoch: [ 77] [1050/4000] time: 45182.9416, dice0 = 0.07714, cross0 = 0.1022, kl0 = 0.0216, exclusion0 = 0.0791,     dice1 = 0.07848, cross1 = 0.1022, kl1 = 0.0114, exclusion1 = 0.0602
1.1202815
Epoch: [ 77] [1100/4000] time: 45190.2908, net0_loss = 0.11963, net0_acc = 0.9809, net0_test_acc = 0.9482,     net1_loss = 0.07050, net1_acc = 0.9893, net1_test_acc = 0.9308
Epoch: [ 77] [1100/4000] time: 45190.2909, dice0 = 0.04407, cross0 = 0.0509, kl0 = 0.0069, exclusion0 = 0.0424,     dice1 = 0.02800, cross1 = 0.0258, kl1 = 0.0032, exclusion1 = 0.0301
1.1274267
Epoch: [ 77] [1150/4000] time: 45197.7122, net0_loss = 0.07967, net0_acc = 0.9876, net0_test_acc = 0.9420,     net1_loss = 0.14575, net1_acc = 0.9759, net1_test_acc = 0.9157
Epoch: [ 77] [1150/4000] time: 45197.7122, dice0 = 0.03069, cross0 = 0.0320, kl0 = 0.0040, exclusion0 = 0.0300,     dice1 = 0.05438, cross1 = 0.0675, kl1 = 0.0050, exclusion1 = 0.0428
1.1900921
Epoch: [ 77] [1200/4000] time: 45205.0768, net0_loss = 0.10387, net0_acc = 0.9855, net0_test_acc = 0.9722,     net1_loss = 0.17133, net1_acc = 0.9722, net1_test_acc = 0.9274
Epoch: [ 77] [1200/4000] time: 45205.0769, dice0 = 0.03700, cross0 = 0.0373, kl0 = 0.0102, exclusion0 = 0.0490,     dice1 = 0.05848, cross1 = 0.0943, kl1 = 0.0038, exclusion1 = 0.0332
1.1747824
Epoch: [ 77] [1250/4000] time: 45212.4652, net0_loss = 0.05367, net0_acc = 0.9925, net0_test_acc = 0.7819,     net1_loss = 0.08396, net1_acc = 0.9870, net1_test_acc = 0.9386
Epoch: [ 77] [1250/4000] time: 45212.4652, dice0 = 0.02171, cross0 = 0.0185, kl0 = 0.0021, exclusion0 = 0.0248,     dice1 = 0.03346, cross1 = 0.0316, kl1 = 0.0030, exclusion1 = 0.0349
1.1118333
Epoch: [ 77] [1300/4000] time: 45219.8808, net0_loss = 0.24733, net0_acc = 0.9625, net0_test_acc = 0.8833,     net1_loss = 0.10869, net1_acc = 0.9814, net1_test_acc = 0.8203
Epoch: [ 77] [1300/4000] time: 45219.8809, dice0 = 0.08483, cross0 = 0.1059, kl0 = 0.0221, exclusion0 = 0.0911,     dice1 = 0.04361, cross1 = 0.0460, kl1 = 0.0034, exclusion1 = 0.0347
1.1615274
Epoch: [ 77] [1350/4000] time: 45227.2656, net0_loss = 0.17697, net0_acc = 0.9706, net0_test_acc = 0.8982,     net1_loss = 0.20820, net1_acc = 0.9649, net1_test_acc = 0.9635
Epoch: [ 77] [1350/4000] time: 45227.2657, dice0 = 0.06373, cross0 = 0.0849, kl0 = 0.0071, exclusion0 = 0.0495,     dice1 = 0.07434, cross1 = 0.1055, kl1 = 0.0070, exclusion1 = 0.0497
1.1047084
Epoch: [ 77] [1400/4000] time: 45234.6680, net0_loss = 0.08411, net0_acc = 0.9869, net0_test_acc = 0.9146,     net1_loss = 0.07931, net1_acc = 0.9880, net1_test_acc = 0.9801
Epoch: [ 77] [1400/4000] time: 45234.6681, dice0 = 0.03269, cross0 = 0.0321, kl0 = 0.0041, exclusion0 = 0.0346,     dice1 = 0.02850, cross1 = 0.0367, kl1 = 0.0033, exclusion1 = 0.0248
1.1276128
Epoch: [ 77] [1450/4000] time: 45242.0535, net0_loss = 0.18167, net0_acc = 0.9688, net0_test_acc = 0.9148,     net1_loss = 0.06965, net1_acc = 0.9914, net1_test_acc = 0.9411
Epoch: [ 77] [1450/4000] time: 45242.0536, dice0 = 0.06836, cross0 = 0.0834, kl0 = 0.0070, exclusion0 = 0.0529,     dice1 = 0.02783, cross1 = 0.0230, kl1 = 0.0050, exclusion1 = 0.0326
1.1236854
Epoch: [ 77] [1500/4000] time: 45249.4526, net0_loss = 0.09806, net0_acc = 0.9856, net0_test_acc = 0.9578,     net1_loss = 0.08393, net1_acc = 0.9865, net1_test_acc = 0.9210
Epoch: [ 77] [1500/4000] time: 45249.4527, dice0 = 0.03433, cross0 = 0.0368, kl0 = 0.0102, exclusion0 = 0.0438,     dice1 = 0.03352, cross1 = 0.0337, kl1 = 0.0035, exclusion1 = 0.0299
1.157463
Epoch: [ 77] [1550/4000] time: 45256.8339, net0_loss = 0.22185, net0_acc = 0.9658, net0_test_acc = 0.7579,     net1_loss = 0.26459, net1_acc = 0.9551, net1_test_acc = 0.8164
Epoch: [ 77] [1550/4000] time: 45256.8340, dice0 = 0.07405, cross0 = 0.1002, kl0 = 0.0201, exclusion0 = 0.0750,     dice1 = 0.08950, cross1 = 0.1509, kl1 = 0.0045, exclusion1 = 0.0440
1.2284627
Epoch: [ 77] [1600/4000] time: 45264.2497, net0_loss = 0.13598, net0_acc = 0.9792, net0_test_acc = 0.7909,     net1_loss = 0.27309, net1_acc = 0.9571, net1_test_acc = 0.8227
Epoch: [ 77] [1600/4000] time: 45264.2498, dice0 = 0.04960, cross0 = 0.0543, kl0 = 0.0102, exclusion0 = 0.0538,     dice1 = 0.08631, cross1 = 0.1503, kl1 = 0.0151, exclusion1 = 0.0579
1.2197001
Epoch: [ 77] [1650/4000] time: 45271.6604, net0_loss = 0.08895, net0_acc = 0.9859, net0_test_acc = 0.9757,     net1_loss = 0.06979, net1_acc = 0.9893, net1_test_acc = 0.9518
Epoch: [ 77] [1650/4000] time: 45271.6604, dice0 = 0.03437, cross0 = 0.0353, kl0 = 0.0048, exclusion0 = 0.0337,     dice1 = 0.02727, cross1 = 0.0258, kl1 = 0.0046, exclusion1 = 0.0289
1.2214901
Epoch: [ 77] [1700/4000] time: 45279.0298, net0_loss = 0.10393, net0_acc = 0.9830, net0_test_acc = 0.9896,     net1_loss = 0.08726, net1_acc = 0.9890, net1_test_acc = 0.9505
Epoch: [ 77] [1700/4000] time: 45279.0299, dice0 = 0.03902, cross0 = 0.0449, kl0 = 0.0054, exclusion0 = 0.0346,     dice1 = 0.03006, cross1 = 0.0306, kl1 = 0.0100, exclusion1 = 0.0431
1.2512343
Epoch: [ 77] [1750/4000] time: 45286.4231, net0_loss = 0.23778, net0_acc = 0.9603, net0_test_acc = 0.9424,     net1_loss = 0.06899, net1_acc = 0.9901, net1_test_acc = 0.8274
Epoch: [ 77] [1750/4000] time: 45286.4232, dice0 = 0.08668, cross0 = 0.1067, kl0 = 0.0130, exclusion0 = 0.0758,     dice1 = 0.02805, cross1 = 0.0234, kl1 = 0.0040, exclusion1 = 0.0311
1.2545507
Epoch: [ 77] [1800/4000] time: 45294.0624, net0_loss = 0.05053, net0_acc = 0.9937, net0_test_acc = 0.9836,     net1_loss = 0.12111, net1_acc = 0.9804, net1_test_acc = 0.9050
Epoch: [ 77] [1800/4000] time: 45294.0625, dice0 = 0.02019, cross0 = 0.0174, kl0 = 0.0019, exclusion0 = 0.0239,     dice1 = 0.04654, cross1 = 0.0518, kl1 = 0.0044, exclusion1 = 0.0411
1.1306742
Epoch: [ 77] [1850/4000] time: 45301.5219, net0_loss = 0.12141, net0_acc = 0.9826, net0_test_acc = 0.9512,     net1_loss = 0.22373, net1_acc = 0.9644, net1_test_acc = 0.9669
Epoch: [ 77] [1850/4000] time: 45301.5219, dice0 = 0.04322, cross0 = 0.0442, kl0 = 0.0112, exclusion0 = 0.0567,     dice1 = 0.08096, cross1 = 0.0985, kl1 = 0.0123, exclusion1 = 0.0763
1.2436664
Epoch: [ 77] [1900/4000] time: 45308.9370, net0_loss = 0.24366, net0_acc = 0.9624, net0_test_acc = 0.9468,     net1_loss = 0.16093, net1_acc = 0.9743, net1_test_acc = 0.9846
Epoch: [ 77] [1900/4000] time: 45308.9371, dice0 = 0.09107, cross0 = 0.0997, kl0 = 0.0149, exclusion0 = 0.0910,     dice1 = 0.06153, cross1 = 0.0658, kl1 = 0.0076, exclusion1 = 0.0596
1.1866659
Epoch: [ 77] [1950/4000] time: 45316.3564, net0_loss = 0.12888, net0_acc = 0.9765, net0_test_acc = 0.8785,     net1_loss = 0.07126, net1_acc = 0.9902, net1_test_acc = 0.9533
Epoch: [ 77] [1950/4000] time: 45316.3565, dice0 = 0.04950, cross0 = 0.0624, kl0 = 0.0020, exclusion0 = 0.0319,     dice1 = 0.02785, cross1 = 0.0259, kl1 = 0.0038, exclusion1 = 0.0313
1.1538373
Epoch: [ 77] [2000/4000] time: 45323.7485, net0_loss = 0.32155, net0_acc = 0.9448, net0_test_acc = 0.8985,     net1_loss = 0.07587, net1_acc = 0.9873, net1_test_acc = 0.9623
Epoch: [ 77] [2000/4000] time: 45323.7486, dice0 = 0.11805, cross0 = 0.1521, kl0 = 0.0139, exclusion0 = 0.0890,     dice1 = 0.02931, cross1 = 0.0325, kl1 = 0.0028, exclusion1 = 0.0252
1.1979558
Epoch: [ 77] [2050/4000] time: 45331.1296, net0_loss = 0.08591, net0_acc = 0.9872, net0_test_acc = 0.9657,     net1_loss = 0.11479, net1_acc = 0.9819, net1_test_acc = 0.9490
Epoch: [ 77] [2050/4000] time: 45331.1297, dice0 = 0.03324, cross0 = 0.0354, kl0 = 0.0030, exclusion0 = 0.0315,     dice1 = 0.04551, cross1 = 0.0421, kl1 = 0.0057, exclusion1 = 0.0487
1.2496758
Epoch: [ 77] [2100/4000] time: 45338.5131, net0_loss = 0.14757, net0_acc = 0.9763, net0_test_acc = 0.8969,     net1_loss = 0.12042, net1_acc = 0.9808, net1_test_acc = 0.9702
Epoch: [ 77] [2100/4000] time: 45338.5132, dice0 = 0.05156, cross0 = 0.0666, kl0 = 0.0117, exclusion0 = 0.0471,     dice1 = 0.04398, cross1 = 0.0493, kl1 = 0.0090, exclusion1 = 0.0452
1.264299
Epoch: [ 77] [2150/4000] time: 45345.9053, net0_loss = 0.11004, net0_acc = 0.9812, net0_test_acc = 0.9813,     net1_loss = 0.15743, net1_acc = 0.9761, net1_test_acc = 0.9519
Epoch: [ 77] [2150/4000] time: 45345.9053, dice0 = 0.04284, cross0 = 0.0454, kl0 = 0.0051, exclusion0 = 0.0385,     dice1 = 0.06036, cross1 = 0.0622, kl1 = 0.0085, exclusion1 = 0.0614
1.1285938
Epoch: [ 77] [2200/4000] time: 45353.2959, net0_loss = 0.04324, net0_acc = 0.9940, net0_test_acc = 0.7541,     net1_loss = 0.12228, net1_acc = 0.9796, net1_test_acc = 0.9238
Epoch: [ 77] [2200/4000] time: 45353.2960, dice0 = 0.01667, cross0 = 0.0161, kl0 = 0.0023, exclusion0 = 0.0187,     dice1 = 0.04534, cross1 = 0.0554, kl1 = 0.0060, exclusion1 = 0.0370
1.1453873
Epoch: [ 77] [2250/4000] time: 45360.6633, net0_loss = 0.06971, net0_acc = 0.9885, net0_test_acc = 0.9239,     net1_loss = 0.20934, net1_acc = 0.9635, net1_test_acc = 0.9426
Epoch: [ 77] [2250/4000] time: 45360.6633, dice0 = 0.02815, cross0 = 0.0265, kl0 = 0.0026, exclusion0 = 0.0275,     dice1 = 0.07489, cross1 = 0.0937, kl1 = 0.0147, exclusion1 = 0.0668
1.2730831
Epoch: [ 77] [2300/4000] time: 45368.0725, net0_loss = 0.12450, net0_acc = 0.9806, net0_test_acc = 0.9283,     net1_loss = 0.18142, net1_acc = 0.9746, net1_test_acc = 0.9559
Epoch: [ 77] [2300/4000] time: 45368.0726, dice0 = 0.04520, cross0 = 0.0487, kl0 = 0.0105, exclusion0 = 0.0506,     dice1 = 0.05600, cross1 = 0.0924, kl1 = 0.0143, exclusion1 = 0.0518
1.0778705
Epoch: [ 77] [2350/4000] time: 45375.4618, net0_loss = 0.06479, net0_acc = 0.9904, net0_test_acc = 0.9382,     net1_loss = 0.13022, net1_acc = 0.9817, net1_test_acc = 0.9288
Epoch: [ 77] [2350/4000] time: 45375.4618, dice0 = 0.02476, cross0 = 0.0242, kl0 = 0.0042, exclusion0 = 0.0275,     dice1 = 0.04809, cross1 = 0.0430, kl1 = 0.0140, exclusion1 = 0.0642
1.0931067
Epoch: [ 77] [2400/4000] time: 45382.8506, net0_loss = 0.25596, net0_acc = 0.9590, net0_test_acc = 0.8065,     net1_loss = 0.12489, net1_acc = 0.9816, net1_test_acc = 0.9194
Epoch: [ 77] [2400/4000] time: 45382.8507, dice0 = 0.08860, cross0 = 0.1076, kl0 = 0.0237, exclusion0 = 0.0957,     dice1 = 0.04613, cross1 = 0.0469, kl1 = 0.0109, exclusion1 = 0.0529
1.1211342
Epoch: [ 77] [2450/4000] time: 45390.2445, net0_loss = 0.06480, net0_acc = 0.9895, net0_test_acc = 0.9075,     net1_loss = 0.21874, net1_acc = 0.9616, net1_test_acc = 0.9187
Epoch: [ 77] [2450/4000] time: 45390.2446, dice0 = 0.02645, cross0 = 0.0245, kl0 = 0.0017, exclusion0 = 0.0261,     dice1 = 0.07919, cross1 = 0.1081, kl1 = 0.0076, exclusion1 = 0.0553
1.0940385
Epoch: [ 77] [2500/4000] time: 45397.6437, net0_loss = 0.11207, net0_acc = 0.9821, net0_test_acc = 0.9552,     net1_loss = 0.07290, net1_acc = 0.9896, net1_test_acc = 0.9341
Epoch: [ 77] [2500/4000] time: 45397.6437, dice0 = 0.04386, cross0 = 0.0464, kl0 = 0.0039, exclusion0 = 0.0397,     dice1 = 0.02755, cross1 = 0.0303, kl1 = 0.0035, exclusion1 = 0.0265
1.161192
Epoch: [ 77] [2550/4000] time: 45404.9479, net0_loss = 0.13596, net0_acc = 0.9784, net0_test_acc = 0.8366,     net1_loss = 0.14809, net1_acc = 0.9766, net1_test_acc = 0.9339
Epoch: [ 77] [2550/4000] time: 45404.9480, dice0 = 0.05187, cross0 = 0.0518, kl0 = 0.0078, exclusion0 = 0.0568,     dice1 = 0.05426, cross1 = 0.0631, kl1 = 0.0101, exclusion1 = 0.0515
1.1564444
Epoch: [ 77] [2600/4000] time: 45412.3677, net0_loss = 0.13564, net0_acc = 0.9782, net0_test_acc = 0.9647,     net1_loss = 0.11390, net1_acc = 0.9814, net1_test_acc = 0.9560
Epoch: [ 77] [2600/4000] time: 45412.3678, dice0 = 0.05240, cross0 = 0.0558, kl0 = 0.0060, exclusion0 = 0.0490,     dice1 = 0.04407, cross1 = 0.0488, kl1 = 0.0035, exclusion1 = 0.0386
1.2054222
Epoch: [ 77] [2650/4000] time: 45419.7768, net0_loss = 0.05103, net0_acc = 0.9928, net0_test_acc = 0.9566,     net1_loss = 0.03567, net1_acc = 0.9952, net1_test_acc = 0.9914
Epoch: [ 77] [2650/4000] time: 45419.7768, dice0 = 0.01851, cross0 = 0.0189, kl0 = 0.0047, exclusion0 = 0.0225,     dice1 = 0.01477, cross1 = 0.0120, kl1 = 0.0014, exclusion1 = 0.0165
1.2141713
Epoch: [ 77] [2700/4000] time: 45427.1443, net0_loss = 0.04031, net0_acc = 0.9936, net0_test_acc = 0.9611,     net1_loss = 0.08576, net1_acc = 0.9852, net1_test_acc = 0.8902
Epoch: [ 77] [2700/4000] time: 45427.1444, dice0 = 0.01633, cross0 = 0.0152, kl0 = 0.0014, exclusion0 = 0.0161,     dice1 = 0.03429, cross1 = 0.0363, kl1 = 0.0020, exclusion1 = 0.0283
1.1845057
Epoch: [ 77] [2750/4000] time: 45434.3954, net0_loss = 0.23624, net0_acc = 0.9607, net0_test_acc = 0.8717,     net1_loss = 0.08600, net1_acc = 0.9855, net1_test_acc = 0.9048
Epoch: [ 77] [2750/4000] time: 45434.3954, dice0 = 0.08980, cross0 = 0.1008, kl0 = 0.0086, exclusion0 = 0.0827,     dice1 = 0.03440, cross1 = 0.0364, kl1 = 0.0025, exclusion1 = 0.0278
1.0754688
Epoch: [ 77] [2800/4000] time: 45441.8390, net0_loss = 0.13787, net0_acc = 0.9809, net0_test_acc = 0.8381,     net1_loss = 0.16473, net1_acc = 0.9722, net1_test_acc = 0.9666
Epoch: [ 77] [2800/4000] time: 45441.8391, dice0 = 0.05129, cross0 = 0.0458, kl0 = 0.0128, exclusion0 = 0.0688,     dice1 = 0.05863, cross1 = 0.0848, kl1 = 0.0044, exclusion1 = 0.0382
1.1029905
Epoch: [ 77] [2850/4000] time: 45449.2585, net0_loss = 0.05685, net0_acc = 0.9919, net0_test_acc = 0.9787,     net1_loss = 0.07441, net1_acc = 0.9887, net1_test_acc = 0.8809
Epoch: [ 77] [2850/4000] time: 45449.2587, dice0 = 0.02231, cross0 = 0.0195, kl0 = 0.0037, exclusion0 = 0.0263,     dice1 = 0.02969, cross1 = 0.0269, kl1 = 0.0048, exclusion1 = 0.0309
1.1193609
Epoch: [ 77] [2900/4000] time: 45456.6630, net0_loss = 0.08705, net0_acc = 0.9862, net0_test_acc = 0.9284,     net1_loss = 0.06340, net1_acc = 0.9915, net1_test_acc = 0.9666
Epoch: [ 77] [2900/4000] time: 45456.6631, dice0 = 0.03315, cross0 = 0.0336, kl0 = 0.0049, exclusion0 = 0.0357,     dice1 = 0.02661, cross1 = 0.0208, kl1 = 0.0019, exclusion1 = 0.0301
1.1447288
Epoch: [ 77] [2950/4000] time: 45464.0330, net0_loss = 0.04180, net0_acc = 0.9944, net0_test_acc = 0.8994,     net1_loss = 0.06503, net1_acc = 0.9899, net1_test_acc = 0.9302
Epoch: [ 77] [2950/4000] time: 45464.0330, dice0 = 0.01679, cross0 = 0.0139, kl0 = 0.0022, exclusion0 = 0.0199,     dice1 = 0.02648, cross1 = 0.0242, kl1 = 0.0025, exclusion1 = 0.0261
1.136556
Epoch: [ 77] [3000/4000] time: 45471.3447, net0_loss = 0.11163, net0_acc = 0.9817, net0_test_acc = 0.9487,     net1_loss = 0.15181, net1_acc = 0.9765, net1_test_acc = 0.8837
Epoch: [ 77] [3000/4000] time: 45471.3448, dice0 = 0.04277, cross0 = 0.0434, kl0 = 0.0073, exclusion0 = 0.0437,     dice1 = 0.05216, cross1 = 0.0638, kl1 = 0.0147, exclusion1 = 0.0570
1.1989529
Epoch: [ 77] [3050/4000] time: 45478.8255, net0_loss = 0.11116, net0_acc = 0.9806, net0_test_acc = 0.9743,     net1_loss = 0.18526, net1_acc = 0.9718, net1_test_acc = 0.9461
Epoch: [ 77] [3050/4000] time: 45478.8256, dice0 = 0.04144, cross0 = 0.0501, kl0 = 0.0049, exclusion0 = 0.0344,     dice1 = 0.06512, cross1 = 0.0826, kl1 = 0.0129, exclusion1 = 0.0621
1.1547486
Epoch: [ 77] [3100/4000] time: 45486.1839, net0_loss = 0.03650, net0_acc = 0.9944, net0_test_acc = 0.9222,     net1_loss = 0.07393, net1_acc = 0.9904, net1_test_acc = 0.9446
Epoch: [ 77] [3100/4000] time: 45486.1840, dice0 = 0.01404, cross0 = 0.0146, kl0 = 0.0016, exclusion0 = 0.0143,     dice1 = 0.02836, cross1 = 0.0228, kl1 = 0.0063, exclusion1 = 0.0392
1.201829
Epoch: [ 77] [3150/4000] time: 45493.5819, net0_loss = 0.24506, net0_acc = 0.9581, net0_test_acc = 0.9316,     net1_loss = 0.09190, net1_acc = 0.9861, net1_test_acc = 0.7752
Epoch: [ 77] [3150/4000] time: 45493.5820, dice0 = 0.08053, cross0 = 0.1445, kl0 = 0.0048, exclusion0 = 0.0352,     dice1 = 0.03177, cross1 = 0.0480, kl1 = 0.0028, exclusion1 = 0.0214
1.2186891
Epoch: [ 77] [3200/4000] time: 45500.9778, net0_loss = 0.18783, net0_acc = 0.9669, net0_test_acc = 0.8273,     net1_loss = 0.14329, net1_acc = 0.9745, net1_test_acc = 0.8990
Epoch: [ 77] [3200/4000] time: 45500.9780, dice0 = 0.07142, cross0 = 0.0868, kl0 = 0.0061, exclusion0 = 0.0530,     dice1 = 0.05708, cross1 = 0.0607, kl1 = 0.0037, exclusion1 = 0.0474
1.2451954
Epoch: [ 77] [3250/4000] time: 45508.3476, net0_loss = 0.10596, net0_acc = 0.9827, net0_test_acc = 0.9081,     net1_loss = 0.17586, net1_acc = 0.9761, net1_test_acc = 0.7847
Epoch: [ 77] [3250/4000] time: 45508.3476, dice0 = 0.04216, cross0 = 0.0424, kl0 = 0.0039, exclusion0 = 0.0389,     dice1 = 0.06328, cross1 = 0.0598, kl1 = 0.0181, exclusion1 = 0.0875
1.150862
Epoch: [ 77] [3300/4000] time: 45515.6852, net0_loss = 0.13881, net0_acc = 0.9795, net0_test_acc = 0.9426,     net1_loss = 0.09111, net1_acc = 0.9835, net1_test_acc = 0.9445
Epoch: [ 77] [3300/4000] time: 45515.6853, dice0 = 0.05188, cross0 = 0.0505, kl0 = 0.0123, exclusion0 = 0.0605,     dice1 = 0.03577, cross1 = 0.0397, kl1 = 0.0027, exclusion1 = 0.0286
1.2243013
Epoch: [ 77] [3350/4000] time: 45523.0949, net0_loss = 0.17278, net0_acc = 0.9703, net0_test_acc = 0.9387,     net1_loss = 0.07768, net1_acc = 0.9884, net1_test_acc = 0.9407
Epoch: [ 77] [3350/4000] time: 45523.0949, dice0 = 0.06475, cross0 = 0.0699, kl0 = 0.0129, exclusion0 = 0.0634,     dice1 = 0.02676, cross1 = 0.0382, kl1 = 0.0033, exclusion1 = 0.0222
1.2648103
Epoch: [ 77] [3400/4000] time: 45530.4864, net0_loss = 0.10888, net0_acc = 0.9824, net0_test_acc = 0.9732,     net1_loss = 0.12062, net1_acc = 0.9850, net1_test_acc = 0.9274
Epoch: [ 77] [3400/4000] time: 45530.4865, dice0 = 0.04329, cross0 = 0.0441, kl0 = 0.0034, exclusion0 = 0.0396,     dice1 = 0.03709, cross1 = 0.0488, kl1 = 0.0148, exclusion1 = 0.0547
1.100012
Epoch: [ 77] [3450/4000] time: 45537.8361, net0_loss = 0.08288, net0_acc = 0.9836, net0_test_acc = 0.9482,     net1_loss = 0.12570, net1_acc = 0.9787, net1_test_acc = 0.8661
Epoch: [ 77] [3450/4000] time: 45537.8362, dice0 = 0.03339, cross0 = 0.0370, kl0 = 0.0017, exclusion0 = 0.0233,     dice1 = 0.04603, cross1 = 0.0615, kl1 = 0.0034, exclusion1 = 0.0330
1.1233876
Epoch: [ 77] [3500/4000] time: 45545.2416, net0_loss = 0.08753, net0_acc = 0.9858, net0_test_acc = 0.9542,     net1_loss = 0.22098, net1_acc = 0.9655, net1_test_acc = 0.9786
Epoch: [ 77] [3500/4000] time: 45545.2417, dice0 = 0.03233, cross0 = 0.0361, kl0 = 0.0065, exclusion0 = 0.0317,     dice1 = 0.08365, cross1 = 0.0927, kl1 = 0.0103, exclusion1 = 0.0790
1.1916808
Epoch: [ 77] [3550/4000] time: 45552.6103, net0_loss = 0.10588, net0_acc = 0.9831, net0_test_acc = 0.8667,     net1_loss = 0.06871, net1_acc = 0.9884, net1_test_acc = 0.8479
Epoch: [ 77] [3550/4000] time: 45552.6104, dice0 = 0.03692, cross0 = 0.0528, kl0 = 0.0047, exclusion0 = 0.0275,     dice1 = 0.02684, cross1 = 0.0310, kl1 = 0.0013, exclusion1 = 0.0203
1.1599103
Epoch: [ 77] [3600/4000] time: 45559.9759, net0_loss = 0.22521, net0_acc = 0.9694, net0_test_acc = 0.9282,     net1_loss = 0.14379, net1_acc = 0.9765, net1_test_acc = 0.9023
Epoch: [ 77] [3600/4000] time: 45559.9760, dice0 = 0.06661, cross0 = 0.1203, kl0 = 0.0164, exclusion0 = 0.0602,     dice1 = 0.05025, cross1 = 0.0646, kl1 = 0.0096, exclusion1 = 0.0483
1.273204
Epoch: [ 77] [3650/4000] time: 45567.3717, net0_loss = 0.14507, net0_acc = 0.9761, net0_test_acc = 0.9541,     net1_loss = 0.08714, net1_acc = 0.9853, net1_test_acc = 0.9493
Epoch: [ 77] [3650/4000] time: 45567.3717, dice0 = 0.05769, cross0 = 0.0572, kl0 = 0.0060, exclusion0 = 0.0543,     dice1 = 0.03400, cross1 = 0.0373, kl1 = 0.0024, exclusion1 = 0.0293
1.1681142
Epoch: [ 77] [3700/4000] time: 45574.6319, net0_loss = 0.19564, net0_acc = 0.9698, net0_test_acc = 0.9370,     net1_loss = 0.14008, net1_acc = 0.9774, net1_test_acc = 0.9903
Epoch: [ 77] [3700/4000] time: 45574.6320, dice0 = 0.06548, cross0 = 0.0987, kl0 = 0.0113, exclusion0 = 0.0517,     dice1 = 0.05403, cross1 = 0.0578, kl1 = 0.0056, exclusion1 = 0.0508
1.1827809
Epoch: [ 77] [3750/4000] time: 45582.1324, net0_loss = 0.09017, net0_acc = 0.9873, net0_test_acc = 0.9292,     net1_loss = 0.08433, net1_acc = 0.9869, net1_test_acc = 0.7946
Epoch: [ 77] [3750/4000] time: 45582.1325, dice0 = 0.03510, cross0 = 0.0298, kl0 = 0.0062, exclusion0 = 0.0444,     dice1 = 0.03304, cross1 = 0.0329, kl1 = 0.0038, exclusion1 = 0.0329
1.1150504
Epoch: [ 77] [3800/4000] time: 45589.5299, net0_loss = 0.25160, net0_acc = 0.9608, net0_test_acc = 0.8831,     net1_loss = 0.10071, net1_acc = 0.9843, net1_test_acc = 0.9854
Epoch: [ 77] [3800/4000] time: 45589.5300, dice0 = 0.08814, cross0 = 0.1104, kl0 = 0.0188, exclusion0 = 0.0874,     dice1 = 0.03632, cross1 = 0.0463, kl1 = 0.0060, exclusion1 = 0.0301
1.2160134
Epoch: [ 77] [3850/4000] time: 45596.8929, net0_loss = 0.16620, net0_acc = 0.9739, net0_test_acc = 0.9744,     net1_loss = 0.12808, net1_acc = 0.9789, net1_test_acc = 0.9129
Epoch: [ 77] [3850/4000] time: 45596.8929, dice0 = 0.06030, cross0 = 0.0673, kl0 = 0.0134, exclusion0 = 0.0639,     dice1 = 0.04456, cross1 = 0.0700, kl1 = 0.0033, exclusion1 = 0.0239
1.3237436
Epoch: [ 77] [3900/4000] time: 45604.3575, net0_loss = 0.15508, net0_acc = 0.9762, net0_test_acc = 0.8555,     net1_loss = 0.19711, net1_acc = 0.9665, net1_test_acc = 0.9098
Epoch: [ 77] [3900/4000] time: 45604.3575, dice0 = 0.05941, cross0 = 0.0590, kl0 = 0.0081, exclusion0 = 0.0652,     dice1 = 0.07148, cross1 = 0.0962, kl1 = 0.0071, exclusion1 = 0.0516
1.0928227
Epoch: [ 77] [3950/4000] time: 45612.0223, net0_loss = 0.14200, net0_acc = 0.9779, net0_test_acc = 0.9254,     net1_loss = 0.07291, net1_acc = 0.9880, net1_test_acc = 0.7958
Epoch: [ 77] [3950/4000] time: 45612.0223, dice0 = 0.05431, cross0 = 0.0497, kl0 = 0.0121, exclusion0 = 0.0638,     dice1 = 0.02914, cross1 = 0.0295, kl1 = 0.0024, exclusion1 = 0.0261
1.2085603
Epoch: [ 78] [  0/4000] time: 45619.5500, net0_loss = 0.04445, net0_acc = 0.9933, net0_test_acc = 0.9094,     net1_loss = 0.10311, net1_acc = 0.9846, net1_test_acc = 0.9545
Epoch: [ 78] [  0/4000] time: 45619.5500, dice0 = 0.01683, cross0 = 0.0190, kl0 = 0.0018, exclusion0 = 0.0155,     dice1 = 0.04066, cross1 = 0.0361, kl1 = 0.0062, exclusion1 = 0.0466
1.1617336
Epoch: [ 78] [ 50/4000] time: 45626.8852, net0_loss = 0.11432, net0_acc = 0.9823, net0_test_acc = 0.9255,     net1_loss = 0.11247, net1_acc = 0.9809, net1_test_acc = 0.9206
Epoch: [ 78] [ 50/4000] time: 45626.8853, dice0 = 0.04443, cross0 = 0.0433, kl0 = 0.0053, exclusion0 = 0.0479,     dice1 = 0.04344, cross1 = 0.0508, kl1 = 0.0035, exclusion1 = 0.0330
1.1721711
Epoch: [ 78] [100/4000] time: 45634.3025, net0_loss = 0.06198, net0_acc = 0.9916, net0_test_acc = 0.8803,     net1_loss = 0.19379, net1_acc = 0.9743, net1_test_acc = 0.9235
Epoch: [ 78] [100/4000] time: 45634.3025, dice0 = 0.02375, cross0 = 0.0220, kl0 = 0.0033, exclusion0 = 0.0292,     dice1 = 0.07071, cross1 = 0.0625, kl1 = 0.0198, exclusion1 = 0.1013
1.1741012
Epoch: [ 78] [150/4000] time: 45641.7601, net0_loss = 0.13391, net0_acc = 0.9796, net0_test_acc = 0.9155,     net1_loss = 0.15210, net1_acc = 0.9744, net1_test_acc = 0.9455
Epoch: [ 78] [150/4000] time: 45641.7602, dice0 = 0.04822, cross0 = 0.0498, kl0 = 0.0121, exclusion0 = 0.0597,     dice1 = 0.05747, cross1 = 0.0635, kl1 = 0.0088, exclusion1 = 0.0534
1.159046
Epoch: [ 78] [200/4000] time: 45649.1403, net0_loss = 0.20704, net0_acc = 0.9730, net0_test_acc = 0.9813,     net1_loss = 0.09385, net1_acc = 0.9824, net1_test_acc = 0.9902
Epoch: [ 78] [200/4000] time: 45649.1403, dice0 = 0.07022, cross0 = 0.0629, kl0 = 0.0365, exclusion0 = 0.1113,     dice1 = 0.03604, cross1 = 0.0451, kl1 = 0.0028, exclusion1 = 0.0226
1.2871432
Epoch: [ 78] [250/4000] time: 45656.3009, net0_loss = 0.15496, net0_acc = 0.9739, net0_test_acc = 0.9638,     net1_loss = 0.06681, net1_acc = 0.9898, net1_test_acc = 0.9554
Epoch: [ 78] [250/4000] time: 45656.3010, dice0 = 0.05790, cross0 = 0.0708, kl0 = 0.0060, exclusion0 = 0.0466,     dice1 = 0.02596, cross1 = 0.0241, kl1 = 0.0042, exclusion1 = 0.0293
1.2152678
Epoch: [ 78] [300/4000] time: 45663.9863, net0_loss = 0.12082, net0_acc = 0.9797, net0_test_acc = 0.9710,     net1_loss = 0.07878, net1_acc = 0.9867, net1_test_acc = 0.9203
Epoch: [ 78] [300/4000] time: 45663.9864, dice0 = 0.04437, cross0 = 0.0556, kl0 = 0.0050, exclusion0 = 0.0366,     dice1 = 0.03108, cross1 = 0.0325, kl1 = 0.0039, exclusion1 = 0.0265
1.1364595
Epoch: [ 78] [350/4000] time: 45671.3583, net0_loss = 0.03693, net0_acc = 0.9955, net0_test_acc = 0.8884,     net1_loss = 0.15112, net1_acc = 0.9765, net1_test_acc = 0.9890
Epoch: [ 78] [350/4000] time: 45671.3584, dice0 = 0.01383, cross0 = 0.0122, kl0 = 0.0029, exclusion0 = 0.0189,     dice1 = 0.06065, cross1 = 0.0546, kl1 = 0.0076, exclusion1 = 0.0643
1.1433934
Epoch: [ 78] [400/4000] time: 45678.8774, net0_loss = 0.09055, net0_acc = 0.9860, net0_test_acc = 0.8970,     net1_loss = 0.21908, net1_acc = 0.9619, net1_test_acc = 0.9893
Epoch: [ 78] [400/4000] time: 45678.8775, dice0 = 0.03647, cross0 = 0.0334, kl0 = 0.0031, exclusion0 = 0.0382,     dice1 = 0.08154, cross1 = 0.0988, kl1 = 0.0110, exclusion1 = 0.0666
1.0996858
Epoch: [ 78] [450/4000] time: 45686.2334, net0_loss = 0.14790, net0_acc = 0.9745, net0_test_acc = 0.9062,     net1_loss = 0.18564, net1_acc = 0.9695, net1_test_acc = 0.9141
Epoch: [ 78] [450/4000] time: 45686.2334, dice0 = 0.05515, cross0 = 0.0660, kl0 = 0.0090, exclusion0 = 0.0445,     dice1 = 0.06266, cross1 = 0.0975, kl1 = 0.0089, exclusion1 = 0.0421
1.1626936
Epoch: [ 78] [500/4000] time: 45693.6785, net0_loss = 0.12856, net0_acc = 0.9821, net0_test_acc = 0.9654,     net1_loss = 0.12019, net1_acc = 0.9808, net1_test_acc = 0.9594
Epoch: [ 78] [500/4000] time: 45693.6786, dice0 = 0.04262, cross0 = 0.0461, kl0 = 0.0179, exclusion0 = 0.0618,     dice1 = 0.04775, cross1 = 0.0462, kl1 = 0.0049, exclusion1 = 0.0476
1.1349852
Epoch: [ 78] [550/4000] time: 45701.1056, net0_loss = 0.17795, net0_acc = 0.9710, net0_test_acc = 0.7421,     net1_loss = 0.06884, net1_acc = 0.9901, net1_test_acc = 0.9061
Epoch: [ 78] [550/4000] time: 45701.1057, dice0 = 0.06703, cross0 = 0.0705, kl0 = 0.0111, exclusion0 = 0.0698,     dice1 = 0.02623, cross1 = 0.0295, kl1 = 0.0029, exclusion1 = 0.0233
1.196248
Epoch: [ 78] [600/4000] time: 45708.4666, net0_loss = 0.11991, net0_acc = 0.9828, net0_test_acc = 0.8357,     net1_loss = 0.15875, net1_acc = 0.9732, net1_test_acc = 0.8234
Epoch: [ 78] [600/4000] time: 45708.4667, dice0 = 0.04330, cross0 = 0.0552, kl0 = 0.0057, exclusion0 = 0.0372,     dice1 = 0.05696, cross1 = 0.0764, kl1 = 0.0068, exclusion1 = 0.0440
1.0414647
Epoch: [ 78] [650/4000] time: 45715.8933, net0_loss = 0.12469, net0_acc = 0.9772, net0_test_acc = 0.9848,     net1_loss = 0.02304, net1_acc = 0.9971, net1_test_acc = 0.9690
Epoch: [ 78] [650/4000] time: 45715.8934, dice0 = 0.04527, cross0 = 0.0661, kl0 = 0.0031, exclusion0 = 0.0237,     dice1 = 0.00945, cross1 = 0.0077, kl1 = 0.0012, exclusion1 = 0.0106
1.1157686
Epoch: [ 78] [700/4000] time: 45723.2926, net0_loss = 0.25829, net0_acc = 0.9567, net0_test_acc = 0.9360,     net1_loss = 0.25506, net1_acc = 0.9586, net1_test_acc = 0.9521
Epoch: [ 78] [700/4000] time: 45723.2927, dice0 = 0.09171, cross0 = 0.1232, kl0 = 0.0141, exclusion0 = 0.0728,     dice1 = 0.08953, cross1 = 0.1139, kl1 = 0.0189, exclusion1 = 0.0844
1.1934681
Epoch: [ 78] [750/4000] time: 45730.6885, net0_loss = 0.29137, net0_acc = 0.9502, net0_test_acc = 0.9492,     net1_loss = 0.07779, net1_acc = 0.9881, net1_test_acc = 0.9771
Epoch: [ 78] [750/4000] time: 45730.6885, dice0 = 0.10158, cross0 = 0.1485, kl0 = 0.0111, exclusion0 = 0.0716,     dice1 = 0.03128, cross1 = 0.0302, kl1 = 0.0027, exclusion1 = 0.0300
1.1019058
Epoch: [ 78] [800/4000] time: 45738.0706, net0_loss = 0.18252, net0_acc = 0.9733, net0_test_acc = 0.9049,     net1_loss = 0.09119, net1_acc = 0.9867, net1_test_acc = 0.9765
Epoch: [ 78] [800/4000] time: 45738.0707, dice0 = 0.07090, cross0 = 0.0635, kl0 = 0.0141, exclusion0 = 0.0822,     dice1 = 0.03696, cross1 = 0.0307, kl1 = 0.0047, exclusion1 = 0.0423
1.1128447
Epoch: [ 78] [850/4000] time: 45745.4763, net0_loss = 0.11655, net0_acc = 0.9839, net0_test_acc = 0.9469,     net1_loss = 0.13618, net1_acc = 0.9770, net1_test_acc = 0.9272
Epoch: [ 78] [850/4000] time: 45745.4764, dice0 = 0.03616, cross0 = 0.0464, kl0 = 0.0171, exclusion0 = 0.0508,     dice1 = 0.05214, cross1 = 0.0576, kl1 = 0.0063, exclusion1 = 0.0465
1.2197462
Epoch: [ 78] [900/4000] time: 45752.8815, net0_loss = 0.11559, net0_acc = 0.9820, net0_test_acc = 0.9471,     net1_loss = 0.06027, net1_acc = 0.9915, net1_test_acc = 0.9305
Epoch: [ 78] [900/4000] time: 45752.8815, dice0 = 0.04173, cross0 = 0.0415, kl0 = 0.0125, exclusion0 = 0.0521,     dice1 = 0.02417, cross1 = 0.0207, kl1 = 0.0024, exclusion1 = 0.0284
1.208192
Epoch: [ 78] [950/4000] time: 45760.2880, net0_loss = 0.18034, net0_acc = 0.9718, net0_test_acc = 0.9720,     net1_loss = 0.10731, net1_acc = 0.9834, net1_test_acc = 0.9167
Epoch: [ 78] [950/4000] time: 45760.2880, dice0 = 0.06211, cross0 = 0.0815, kl0 = 0.0145, exclusion0 = 0.0590,     dice1 = 0.04234, cross1 = 0.0418, kl1 = 0.0052, exclusion1 = 0.0412
1.150396
Epoch: [ 78] [1000/4000] time: 45767.6417, net0_loss = 0.22168, net0_acc = 0.9637, net0_test_acc = 0.7742,     net1_loss = 0.17329, net1_acc = 0.9732, net1_test_acc = 0.9420
Epoch: [ 78] [1000/4000] time: 45767.6418, dice0 = 0.07994, cross0 = 0.1028, kl0 = 0.0115, exclusion0 = 0.0663,     dice1 = 0.06471, cross1 = 0.0619, kl1 = 0.0163, exclusion1 = 0.0771
1.1234807
Epoch: [ 78] [1050/4000] time: 45775.1036, net0_loss = 0.09271, net0_acc = 0.9860, net0_test_acc = 0.8908,     net1_loss = 0.09996, net1_acc = 0.9855, net1_test_acc = 0.8244
Epoch: [ 78] [1050/4000] time: 45775.1037, dice0 = 0.03413, cross0 = 0.0336, kl0 = 0.0083, exclusion0 = 0.0416,     dice1 = 0.03847, cross1 = 0.0392, kl1 = 0.0062, exclusion1 = 0.0384
1.1931118
Epoch: [ 78] [1100/4000] time: 45782.5012, net0_loss = 0.39001, net0_acc = 0.9384, net0_test_acc = 0.8810,     net1_loss = 0.19783, net1_acc = 0.9722, net1_test_acc = 0.9628
Epoch: [ 78] [1100/4000] time: 45782.5013, dice0 = 0.12103, cross0 = 0.2330, kl0 = 0.0092, exclusion0 = 0.0628,     dice1 = 0.07582, cross1 = 0.0657, kl1 = 0.0140, exclusion1 = 0.0985
1.2700249
Epoch: [ 78] [1150/4000] time: 45789.8946, net0_loss = 0.10546, net0_acc = 0.9839, net0_test_acc = 0.9227,     net1_loss = 0.19963, net1_acc = 0.9675, net1_test_acc = 0.9792
Epoch: [ 78] [1150/4000] time: 45789.8947, dice0 = 0.04285, cross0 = 0.0368, kl0 = 0.0045, exclusion0 = 0.0471,     dice1 = 0.07367, cross1 = 0.0862, kl1 = 0.0113, exclusion1 = 0.0683
1.0953349
Epoch: [ 78] [1200/4000] time: 45797.2743, net0_loss = 0.09911, net0_acc = 0.9841, net0_test_acc = 0.9123,     net1_loss = 0.23019, net1_acc = 0.9617, net1_test_acc = 0.9283
Epoch: [ 78] [1200/4000] time: 45797.2743, dice0 = 0.03851, cross0 = 0.0401, kl0 = 0.0032, exclusion0 = 0.0379,     dice1 = 0.08411, cross1 = 0.0885, kl1 = 0.0213, exclusion1 = 0.0939
1.074172
Epoch: [ 78] [1250/4000] time: 45804.6622, net0_loss = 0.10029, net0_acc = 0.9854, net0_test_acc = 0.9554,     net1_loss = 0.12037, net1_acc = 0.9801, net1_test_acc = 0.9263
Epoch: [ 78] [1250/4000] time: 45804.6623, dice0 = 0.03783, cross0 = 0.0369, kl0 = 0.0068, exclusion0 = 0.0444,     dice1 = 0.04768, cross1 = 0.0482, kl1 = 0.0054, exclusion1 = 0.0437
1.142525
Epoch: [ 78] [1300/4000] time: 45812.0920, net0_loss = 0.11183, net0_acc = 0.9827, net0_test_acc = 0.7756,     net1_loss = 0.05658, net1_acc = 0.9910, net1_test_acc = 0.8231
Epoch: [ 78] [1300/4000] time: 45812.0921, dice0 = 0.04178, cross0 = 0.0452, kl0 = 0.0070, exclusion0 = 0.0427,     dice1 = 0.02372, cross1 = 0.0211, kl1 = 0.0012, exclusion1 = 0.0223
1.1351285
Epoch: [ 78] [1350/4000] time: 45819.4770, net0_loss = 0.03268, net0_acc = 0.9950, net0_test_acc = 0.8210,     net1_loss = 0.18918, net1_acc = 0.9686, net1_test_acc = 0.8365
Epoch: [ 78] [1350/4000] time: 45819.4771, dice0 = 0.01252, cross0 = 0.0123, kl0 = 0.0017, exclusion0 = 0.0140,     dice1 = 0.06893, cross1 = 0.0875, kl1 = 0.0085, exclusion1 = 0.0570
1.1987847
Epoch: [ 78] [1400/4000] time: 45826.8792, net0_loss = 0.14013, net0_acc = 0.9760, net0_test_acc = 0.9746,     net1_loss = 0.06191, net1_acc = 0.9911, net1_test_acc = 0.9542
Epoch: [ 78] [1400/4000] time: 45826.8793, dice0 = 0.05385, cross0 = 0.0605, kl0 = 0.0056, exclusion0 = 0.0460,     dice1 = 0.02360, cross1 = 0.0233, kl1 = 0.0044, exclusion1 = 0.0257
1.097558
Epoch: [ 78] [1450/4000] time: 45834.2872, net0_loss = 0.12496, net0_acc = 0.9813, net0_test_acc = 0.9890,     net1_loss = 0.04705, net1_acc = 0.9937, net1_test_acc = 0.9533
Epoch: [ 78] [1450/4000] time: 45834.2872, dice0 = 0.04728, cross0 = 0.0458, kl0 = 0.0106, exclusion0 = 0.0531,     dice1 = 0.01781, cross1 = 0.0152, kl1 = 0.0035, exclusion1 = 0.0246
1.0982822
Epoch: [ 78] [1500/4000] time: 45841.6593, net0_loss = 0.02525, net0_acc = 0.9961, net0_test_acc = 0.9450,     net1_loss = 0.10750, net1_acc = 0.9822, net1_test_acc = 0.8065
Epoch: [ 78] [1500/4000] time: 45841.6593, dice0 = 0.00994, cross0 = 0.0091, kl0 = 0.0009, exclusion0 = 0.0114,     dice1 = 0.04064, cross1 = 0.0461, kl1 = 0.0054, exclusion1 = 0.0362
1.1644096
Epoch: [ 78] [1550/4000] time: 45849.0067, net0_loss = 0.11647, net0_acc = 0.9814, net0_test_acc = 0.9796,     net1_loss = 0.20723, net1_acc = 0.9637, net1_test_acc = 0.8876
Epoch: [ 78] [1550/4000] time: 45849.0068, dice0 = 0.04442, cross0 = 0.0409, kl0 = 0.0110, exclusion0 = 0.0514,     dice1 = 0.07572, cross1 = 0.1070, kl1 = 0.0039, exclusion1 = 0.0452
1.192934
Epoch: [ 78] [1600/4000] time: 45856.4753, net0_loss = 0.01891, net0_acc = 0.9977, net0_test_acc = 0.9300,     net1_loss = 0.10342, net1_acc = 0.9830, net1_test_acc = 0.9633
Epoch: [ 78] [1600/4000] time: 45856.4754, dice0 = 0.00779, cross0 = 0.0057, kl0 = 0.0006, exclusion0 = 0.0102,     dice1 = 0.04067, cross1 = 0.0413, kl1 = 0.0049, exclusion1 = 0.0379
1.1395109
Epoch: [ 78] [1650/4000] time: 45863.8264, net0_loss = 0.14534, net0_acc = 0.9753, net0_test_acc = 0.9408,     net1_loss = 0.11350, net1_acc = 0.9813, net1_test_acc = 0.9809
Epoch: [ 78] [1650/4000] time: 45863.8265, dice0 = 0.05049, cross0 = 0.0767, kl0 = 0.0055, exclusion0 = 0.0308,     dice1 = 0.04342, cross1 = 0.0490, kl1 = 0.0052, exclusion1 = 0.0370
1.1096784
Epoch: [ 78] [1700/4000] time: 45871.3297, net0_loss = 0.08861, net0_acc = 0.9858, net0_test_acc = 0.8861,     net1_loss = 0.18923, net1_acc = 0.9716, net1_test_acc = 0.9520
Epoch: [ 78] [1700/4000] time: 45871.3298, dice0 = 0.03599, cross0 = 0.0334, kl0 = 0.0024, exclusion0 = 0.0361,     dice1 = 0.07437, cross1 = 0.0682, kl1 = 0.0091, exclusion1 = 0.0843
1.1415712
Epoch: [ 78] [1750/4000] time: 45878.7058, net0_loss = 0.15159, net0_acc = 0.9755, net0_test_acc = 0.9045,     net1_loss = 0.09381, net1_acc = 0.9863, net1_test_acc = 0.9611
Epoch: [ 78] [1750/4000] time: 45878.7059, dice0 = 0.05303, cross0 = 0.0641, kl0 = 0.0131, exclusion0 = 0.0558,     dice1 = 0.03650, cross1 = 0.0346, kl1 = 0.0054, exclusion1 = 0.0400
1.1261594
Epoch: [ 78] [1800/4000] time: 45886.1322, net0_loss = 0.07344, net0_acc = 0.9880, net0_test_acc = 0.9672,     net1_loss = 0.04555, net1_acc = 0.9935, net1_test_acc = 0.9417
Epoch: [ 78] [1800/4000] time: 45886.1323, dice0 = 0.02971, cross0 = 0.0293, kl0 = 0.0027, exclusion0 = 0.0262,     dice1 = 0.01799, cross1 = 0.0166, kl1 = 0.0020, exclusion1 = 0.0200
1.2282109
Epoch: [ 78] [1850/4000] time: 45893.5514, net0_loss = 0.07073, net0_acc = 0.9893, net0_test_acc = 0.9080,     net1_loss = 0.21902, net1_acc = 0.9640, net1_test_acc = 0.9737
Epoch: [ 78] [1850/4000] time: 45893.5515, dice0 = 0.02898, cross0 = 0.0257, kl0 = 0.0020, exclusion0 = 0.0302,     dice1 = 0.08151, cross1 = 0.0880, kl1 = 0.0141, exclusion1 = 0.0848
1.1691624
Epoch: [ 78] [1900/4000] time: 45900.8985, net0_loss = 0.08608, net0_acc = 0.9864, net0_test_acc = 0.9832,     net1_loss = 0.18157, net1_acc = 0.9698, net1_test_acc = 0.9522
Epoch: [ 78] [1900/4000] time: 45900.8986, dice0 = 0.03343, cross0 = 0.0340, kl0 = 0.0040, exclusion0 = 0.0333,     dice1 = 0.06498, cross1 = 0.0855, kl1 = 0.0098, exclusion1 = 0.0524
1.1396705
Epoch: [ 78] [1950/4000] time: 45908.3478, net0_loss = 0.08559, net0_acc = 0.9872, net0_test_acc = 0.7364,     net1_loss = 0.17279, net1_acc = 0.9693, net1_test_acc = 0.9075
Epoch: [ 78] [1950/4000] time: 45908.3478, dice0 = 0.03311, cross0 = 0.0337, kl0 = 0.0039, exclusion0 = 0.0336,     dice1 = 0.06621, cross1 = 0.0832, kl1 = 0.0033, exclusion1 = 0.0434
1.0902785
Epoch: [ 78] [2000/4000] time: 45915.7400, net0_loss = 0.11775, net0_acc = 0.9810, net0_test_acc = 0.9375,     net1_loss = 0.16600, net1_acc = 0.9747, net1_test_acc = 0.9518
Epoch: [ 78] [2000/4000] time: 45915.7401, dice0 = 0.04211, cross0 = 0.0492, kl0 = 0.0097, exclusion0 = 0.0431,     dice1 = 0.05345, cross1 = 0.0803, kl1 = 0.0142, exclusion1 = 0.0504
1.1390247
Epoch: [ 78] [2050/4000] time: 45923.1289, net0_loss = 0.32267, net0_acc = 0.9489, net0_test_acc = 0.9345,     net1_loss = 0.08667, net1_acc = 0.9870, net1_test_acc = 0.9561
Epoch: [ 78] [2050/4000] time: 45923.1290, dice0 = 0.10787, cross0 = 0.1534, kl0 = 0.0243, exclusion0 = 0.0984,     dice1 = 0.03266, cross1 = 0.0365, kl1 = 0.0046, exclusion1 = 0.0304
1.0401993
Epoch: [ 78] [2100/4000] time: 45930.5676, net0_loss = 0.08457, net0_acc = 0.9862, net0_test_acc = 0.9447,     net1_loss = 0.16205, net1_acc = 0.9722, net1_test_acc = 0.9224
Epoch: [ 78] [2100/4000] time: 45930.5676, dice0 = 0.02939, cross0 = 0.0438, kl0 = 0.0033, exclusion0 = 0.0194,     dice1 = 0.06126, cross1 = 0.0702, kl1 = 0.0077, exclusion1 = 0.0535
1.0694699
Epoch: [ 78] [2150/4000] time: 45937.9643, net0_loss = 0.07464, net0_acc = 0.9884, net0_test_acc = 0.8023,     net1_loss = 0.08597, net1_acc = 0.9866, net1_test_acc = 0.9111
Epoch: [ 78] [2150/4000] time: 45937.9643, dice0 = 0.03034, cross0 = 0.0273, kl0 = 0.0027, exclusion0 = 0.0314,     dice1 = 0.03475, cross1 = 0.0314, kl1 = 0.0034, exclusion1 = 0.0364
1.0643448
Epoch: [ 78] [2200/4000] time: 45945.3514, net0_loss = 0.08672, net0_acc = 0.9868, net0_test_acc = 0.8973,     net1_loss = 0.16931, net1_acc = 0.9734, net1_test_acc = 0.8752
Epoch: [ 78] [2200/4000] time: 45945.3515, dice0 = 0.03477, cross0 = 0.0320, kl0 = 0.0037, exclusion0 = 0.0361,     dice1 = 0.06220, cross1 = 0.0662, kl1 = 0.0121, exclusion1 = 0.0697
1.1910721
Epoch: [ 78] [2250/4000] time: 45952.7587, net0_loss = 0.04243, net0_acc = 0.9941, net0_test_acc = 0.9602,     net1_loss = 0.25555, net1_acc = 0.9621, net1_test_acc = 0.9358
Epoch: [ 78] [2250/4000] time: 45952.7588, dice0 = 0.01591, cross0 = 0.0143, kl0 = 0.0039, exclusion0 = 0.0206,     dice1 = 0.08505, cross1 = 0.1115, kl1 = 0.0242, exclusion1 = 0.0938
1.1447548
Epoch: [ 78] [2300/4000] time: 45960.2032, net0_loss = 0.15260, net0_acc = 0.9726, net0_test_acc = 0.8352,     net1_loss = 0.11964, net1_acc = 0.9808, net1_test_acc = 0.9375
Epoch: [ 78] [2300/4000] time: 45960.2032, dice0 = 0.05990, cross0 = 0.0663, kl0 = 0.0051, exclusion0 = 0.0476,     dice1 = 0.04523, cross1 = 0.0500, kl1 = 0.0064, exclusion1 = 0.0424
1.1682981
Epoch: [ 78] [2350/4000] time: 45967.5708, net0_loss = 0.09062, net0_acc = 0.9859, net0_test_acc = 0.9662,     net1_loss = 0.09029, net1_acc = 0.9872, net1_test_acc = 0.9636
Epoch: [ 78] [2350/4000] time: 45967.5709, dice0 = 0.03555, cross0 = 0.0340, kl0 = 0.0046, exclusion0 = 0.0376,     dice1 = 0.03482, cross1 = 0.0308, kl1 = 0.0074, exclusion1 = 0.0420
1.0810012
Epoch: [ 78] [2400/4000] time: 45974.9854, net0_loss = 0.09870, net0_acc = 0.9872, net0_test_acc = 0.9609,     net1_loss = 0.09533, net1_acc = 0.9852, net1_test_acc = 0.9902
Epoch: [ 78] [2400/4000] time: 45974.9855, dice0 = 0.02984, cross0 = 0.0385, kl0 = 0.0149, exclusion0 = 0.0458,     dice1 = 0.03814, cross1 = 0.0371, kl1 = 0.0031, exclusion1 = 0.0371
1.0778077
Epoch: [ 78] [2450/4000] time: 45982.3989, net0_loss = 0.16215, net0_acc = 0.9773, net0_test_acc = 0.9598,     net1_loss = 0.18169, net1_acc = 0.9698, net1_test_acc = 0.8935
Epoch: [ 78] [2450/4000] time: 45982.3990, dice0 = 0.05636, cross0 = 0.0541, kl0 = 0.0228, exclusion0 = 0.0806,     dice1 = 0.06770, cross1 = 0.0801, kl1 = 0.0094, exclusion1 = 0.0585
1.0529552
Epoch: [ 78] [2500/4000] time: 45989.7772, net0_loss = 0.13846, net0_acc = 0.9763, net0_test_acc = 0.8559,     net1_loss = 0.10186, net1_acc = 0.9842, net1_test_acc = 0.9221
Epoch: [ 78] [2500/4000] time: 45989.7773, dice0 = 0.05399, cross0 = 0.0577, kl0 = 0.0059, exclusion0 = 0.0475,     dice1 = 0.04041, cross1 = 0.0366, kl1 = 0.0055, exclusion1 = 0.0443
1.108367
Epoch: [ 78] [2550/4000] time: 45997.2248, net0_loss = 0.20669, net0_acc = 0.9648, net0_test_acc = 0.8268,     net1_loss = 0.21151, net1_acc = 0.9687, net1_test_acc = 0.9557
Epoch: [ 78] [2550/4000] time: 45997.2249, dice0 = 0.07471, cross0 = 0.1042, kl0 = 0.0051, exclusion0 = 0.0505,     dice1 = 0.07853, cross1 = 0.0845, kl1 = 0.0142, exclusion1 = 0.0829
1.1634114
Epoch: [ 78] [2600/4000] time: 46004.6429, net0_loss = 0.06972, net0_acc = 0.9885, net0_test_acc = 0.9814,     net1_loss = 0.16416, net1_acc = 0.9739, net1_test_acc = 0.9006
Epoch: [ 78] [2600/4000] time: 46004.6430, dice0 = 0.02625, cross0 = 0.0310, kl0 = 0.0030, exclusion0 = 0.0219,     dice1 = 0.06072, cross1 = 0.0693, kl1 = 0.0084, exclusion1 = 0.0598
1.170784
Epoch: [ 78] [2650/4000] time: 46012.0184, net0_loss = 0.11774, net0_acc = 0.9806, net0_test_acc = 0.9216,     net1_loss = 0.11273, net1_acc = 0.9800, net1_test_acc = 0.9650
Epoch: [ 78] [2650/4000] time: 46012.0185, dice0 = 0.04422, cross0 = 0.0532, kl0 = 0.0044, exclusion0 = 0.0363,     dice1 = 0.04229, cross1 = 0.0541, kl1 = 0.0035, exclusion1 = 0.0293
1.1375117
Epoch: [ 78] [2700/4000] time: 46019.4333, net0_loss = 0.12830, net0_acc = 0.9784, net0_test_acc = 0.8895,     net1_loss = 0.22127, net1_acc = 0.9636, net1_test_acc = 0.9202
Epoch: [ 78] [2700/4000] time: 46019.4334, dice0 = 0.04677, cross0 = 0.0593, kl0 = 0.0061, exclusion0 = 0.0384,     dice1 = 0.08417, cross1 = 0.0935, kl1 = 0.0121, exclusion1 = 0.0750
1.0171881
Epoch: [ 78] [2750/4000] time: 46026.8189, net0_loss = 0.26887, net0_acc = 0.9588, net0_test_acc = 0.9536,     net1_loss = 0.18951, net1_acc = 0.9681, net1_test_acc = 0.8876
Epoch: [ 78] [2750/4000] time: 46026.8190, dice0 = 0.09375, cross0 = 0.1097, kl0 = 0.0233, exclusion0 = 0.1075,     dice1 = 0.07250, cross1 = 0.0807, kl1 = 0.0081, exclusion1 = 0.0645
1.123014
Epoch: [ 78] [2800/4000] time: 46034.2001, net0_loss = 0.05814, net0_acc = 0.9915, net0_test_acc = 0.9737,     net1_loss = 0.10965, net1_acc = 0.9835, net1_test_acc = 0.9486
Epoch: [ 78] [2800/4000] time: 46034.2002, dice0 = 0.02013, cross0 = 0.0253, kl0 = 0.0045, exclusion0 = 0.0209,     dice1 = 0.04294, cross1 = 0.0377, kl1 = 0.0086, exclusion1 = 0.0493
1.0681443
Epoch: [ 78] [2850/4000] time: 46041.6370, net0_loss = 0.12353, net0_acc = 0.9799, net0_test_acc = 0.9401,     net1_loss = 0.14837, net1_acc = 0.9749, net1_test_acc = 0.9504
Epoch: [ 78] [2850/4000] time: 46041.6370, dice0 = 0.04771, cross0 = 0.0546, kl0 = 0.0033, exclusion0 = 0.0390,     dice1 = 0.05627, cross1 = 0.0653, kl1 = 0.0067, exclusion1 = 0.0468
1.1654285
Epoch: [ 78] [2900/4000] time: 46049.0736, net0_loss = 0.21692, net0_acc = 0.9659, net0_test_acc = 0.9411,     net1_loss = 0.19761, net1_acc = 0.9682, net1_test_acc = 0.7805
Epoch: [ 78] [2900/4000] time: 46049.0736, dice0 = 0.07431, cross0 = 0.1019, kl0 = 0.0158, exclusion0 = 0.0657,     dice1 = 0.07071, cross1 = 0.0805, kl1 = 0.0187, exclusion1 = 0.0740
1.1808995
Epoch: [ 78] [2950/4000] time: 46056.4975, net0_loss = 0.13393, net0_acc = 0.9746, net0_test_acc = 0.8356,     net1_loss = 0.11390, net1_acc = 0.9825, net1_test_acc = 0.9124
Epoch: [ 78] [2950/4000] time: 46056.4975, dice0 = 0.05157, cross0 = 0.0666, kl0 = 0.0019, exclusion0 = 0.0296,     dice1 = 0.04047, cross1 = 0.0508, kl1 = 0.0080, exclusion1 = 0.0372
1.1754211
Epoch: [ 78] [3000/4000] time: 46063.8848, net0_loss = 0.16148, net0_acc = 0.9729, net0_test_acc = 0.9076,     net1_loss = 0.16548, net1_acc = 0.9744, net1_test_acc = 0.8327
Epoch: [ 78] [3000/4000] time: 46063.8849, dice0 = 0.06385, cross0 = 0.0660, kl0 = 0.0057, exclusion0 = 0.0577,     dice1 = 0.05825, cross1 = 0.0727, kl1 = 0.0128, exclusion1 = 0.0562
1.2306759
Epoch: [ 78] [3050/4000] time: 46071.2712, net0_loss = 0.11384, net0_acc = 0.9807, net0_test_acc = 0.9341,     net1_loss = 0.14543, net1_acc = 0.9756, net1_test_acc = 0.9332
Epoch: [ 78] [3050/4000] time: 46071.2713, dice0 = 0.04266, cross0 = 0.0479, kl0 = 0.0068, exclusion0 = 0.0397,     dice1 = 0.05351, cross1 = 0.0683, kl1 = 0.0051, exclusion1 = 0.0422
1.0939521
Epoch: [ 78] [3100/4000] time: 46078.6936, net0_loss = 0.20474, net0_acc = 0.9673, net0_test_acc = 0.9376,     net1_loss = 0.14577, net1_acc = 0.9779, net1_test_acc = 0.9445
Epoch: [ 78] [3100/4000] time: 46078.6937, dice0 = 0.07555, cross0 = 0.0815, kl0 = 0.0144, exclusion0 = 0.0810,     dice1 = 0.05577, cross1 = 0.0538, kl1 = 0.0090, exclusion1 = 0.0635
1.2110704
Epoch: [ 78] [3150/4000] time: 46086.1351, net0_loss = 0.13613, net0_acc = 0.9794, net0_test_acc = 0.9742,     net1_loss = 0.27987, net1_acc = 0.9547, net1_test_acc = 0.9310
Epoch: [ 78] [3150/4000] time: 46086.1353, dice0 = 0.05209, cross0 = 0.0482, kl0 = 0.0111, exclusion0 = 0.0607,     dice1 = 0.10135, cross1 = 0.1142, kl1 = 0.0226, exclusion1 = 0.1061
1.1161181
Epoch: [ 78] [3200/4000] time: 46093.5324, net0_loss = 0.17883, net0_acc = 0.9680, net0_test_acc = 0.9282,     net1_loss = 0.13502, net1_acc = 0.9806, net1_test_acc = 0.8661
Epoch: [ 78] [3200/4000] time: 46093.5325, dice0 = 0.06567, cross0 = 0.0880, kl0 = 0.0056, exclusion0 = 0.0448,     dice1 = 0.05115, cross1 = 0.0482, kl1 = 0.0106, exclusion1 = 0.0609
1.1072528
Epoch: [ 78] [3250/4000] time: 46100.9292, net0_loss = 0.03015, net0_acc = 0.9962, net0_test_acc = 0.9503,     net1_loss = 0.21880, net1_acc = 0.9622, net1_test_acc = 0.9818
Epoch: [ 78] [3250/4000] time: 46100.9293, dice0 = 0.01150, cross0 = 0.0090, kl0 = 0.0028, exclusion0 = 0.0164,     dice1 = 0.08181, cross1 = 0.0957, kl1 = 0.0107, exclusion1 = 0.0719
1.1319968
Epoch: [ 78] [3300/4000] time: 46108.3459, net0_loss = 0.05992, net0_acc = 0.9910, net0_test_acc = 0.8780,     net1_loss = 0.13181, net1_acc = 0.9779, net1_test_acc = 0.8479
Epoch: [ 78] [3300/4000] time: 46108.3460, dice0 = 0.02118, cross0 = 0.0269, kl0 = 0.0037, exclusion0 = 0.0200,     dice1 = 0.04728, cross1 = 0.0622, kl1 = 0.0066, exclusion1 = 0.0381
1.1980929
Epoch: [ 78] [3350/4000] time: 46115.7642, net0_loss = 0.16654, net0_acc = 0.9731, net0_test_acc = 0.9169,     net1_loss = 0.16048, net1_acc = 0.9735, net1_test_acc = 0.9096
Epoch: [ 78] [3350/4000] time: 46115.7643, dice0 = 0.06191, cross0 = 0.0699, kl0 = 0.0125, exclusion0 = 0.0570,     dice1 = 0.05809, cross1 = 0.0676, kl1 = 0.0132, exclusion1 = 0.0564
1.1343027
Epoch: [ 78] [3400/4000] time: 46123.1775, net0_loss = 0.09191, net0_acc = 0.9854, net0_test_acc = 0.9581,     net1_loss = 0.06624, net1_acc = 0.9910, net1_test_acc = 0.9462
Epoch: [ 78] [3400/4000] time: 46123.1776, dice0 = 0.03473, cross0 = 0.0410, kl0 = 0.0034, exclusion0 = 0.0290,     dice1 = 0.02600, cross1 = 0.0223, kl1 = 0.0041, exclusion1 = 0.0318
1.2637427
Epoch: [ 78] [3450/4000] time: 46130.6191, net0_loss = 0.19933, net0_acc = 0.9637, net0_test_acc = 0.9276,     net1_loss = 0.09877, net1_acc = 0.9843, net1_test_acc = 0.9901
Epoch: [ 78] [3450/4000] time: 46130.6192, dice0 = 0.07753, cross0 = 0.0872, kl0 = 0.0072, exclusion0 = 0.0621,     dice1 = 0.03750, cross1 = 0.0445, kl1 = 0.0036, exclusion1 = 0.0299
1.1980293
Epoch: [ 78] [3500/4000] time: 46138.0708, net0_loss = 0.18162, net0_acc = 0.9696, net0_test_acc = 0.9254,     net1_loss = 0.03762, net1_acc = 0.9953, net1_test_acc = 0.7987
Epoch: [ 78] [3500/4000] time: 46138.0710, dice0 = 0.06503, cross0 = 0.0902, kl0 = 0.0067, exclusion0 = 0.0462,     dice1 = 0.01483, cross1 = 0.0119, kl1 = 0.0024, exclusion1 = 0.0195
1.2235723
Epoch: [ 78] [3550/4000] time: 46145.4776, net0_loss = 0.25289, net0_acc = 0.9566, net0_test_acc = 0.8768,     net1_loss = 0.15061, net1_acc = 0.9739, net1_test_acc = 0.9844
Epoch: [ 78] [3550/4000] time: 46145.4777, dice0 = 0.08885, cross0 = 0.1203, kl0 = 0.0138, exclusion0 = 0.0737,     dice1 = 0.05476, cross1 = 0.0809, kl1 = 0.0020, exclusion1 = 0.0279
1.0994315
Epoch: [ 78] [3600/4000] time: 46152.8432, net0_loss = 0.10543, net0_acc = 0.9834, net0_test_acc = 0.9356,     net1_loss = 0.07419, net1_acc = 0.9896, net1_test_acc = 0.9216
Epoch: [ 78] [3600/4000] time: 46152.8433, dice0 = 0.03808, cross0 = 0.0444, kl0 = 0.0084, exclusion0 = 0.0375,     dice1 = 0.02886, cross1 = 0.0264, kl1 = 0.0040, exclusion1 = 0.0339
1.1344628
Epoch: [ 78] [3650/4000] time: 46160.2987, net0_loss = 0.07035, net0_acc = 0.9899, net0_test_acc = 0.8570,     net1_loss = 0.08243, net1_acc = 0.9871, net1_test_acc = 0.9057
Epoch: [ 78] [3650/4000] time: 46160.2988, dice0 = 0.02796, cross0 = 0.0254, kl0 = 0.0038, exclusion0 = 0.0303,     dice1 = 0.03098, cross1 = 0.0307, kl1 = 0.0069, exclusion1 = 0.0347
1.2788455
Epoch: [ 78] [3700/4000] time: 46167.6730, net0_loss = 0.21370, net0_acc = 0.9653, net0_test_acc = 0.8943,     net1_loss = 0.08386, net1_acc = 0.9861, net1_test_acc = 0.8547
Epoch: [ 78] [3700/4000] time: 46167.6731, dice0 = 0.07671, cross0 = 0.0933, kl0 = 0.0143, exclusion0 = 0.0731,     dice1 = 0.03275, cross1 = 0.0354, kl1 = 0.0031, exclusion1 = 0.0284
1.1373507
Epoch: [ 78] [3750/4000] time: 46175.0837, net0_loss = 0.03823, net0_acc = 0.9953, net0_test_acc = 0.9080,     net1_loss = 0.12945, net1_acc = 0.9831, net1_test_acc = 0.8984
Epoch: [ 78] [3750/4000] time: 46175.0837, dice0 = 0.01464, cross0 = 0.0125, kl0 = 0.0029, exclusion0 = 0.0193,     dice1 = 0.04545, cross1 = 0.0465, kl1 = 0.0135, exclusion1 = 0.0615
1.1381916
Epoch: [ 78] [3800/4000] time: 46182.5297, net0_loss = 0.20767, net0_acc = 0.9671, net0_test_acc = 0.9275,     net1_loss = 0.09467, net1_acc = 0.9864, net1_test_acc = 0.9227
Epoch: [ 78] [3800/4000] time: 46182.5297, dice0 = 0.06970, cross0 = 0.1139, kl0 = 0.0053, exclusion0 = 0.0428,     dice1 = 0.03586, cross1 = 0.0409, kl1 = 0.0049, exclusion1 = 0.0310
1.2624801
Epoch: [ 78] [3850/4000] time: 46189.9233, net0_loss = 0.18089, net0_acc = 0.9737, net0_test_acc = 0.8968,     net1_loss = 0.07835, net1_acc = 0.9888, net1_test_acc = 0.9200
Epoch: [ 78] [3850/4000] time: 46189.9234, dice0 = 0.06550, cross0 = 0.0659, kl0 = 0.0161, exclusion0 = 0.0828,     dice1 = 0.03107, cross1 = 0.0299, kl1 = 0.0031, exclusion1 = 0.0316
1.1084433
Epoch: [ 78] [3900/4000] time: 46197.3585, net0_loss = 0.15281, net0_acc = 0.9735, net0_test_acc = 0.9294,     net1_loss = 0.09381, net1_acc = 0.9849, net1_test_acc = 0.9454
Epoch: [ 78] [3900/4000] time: 46197.3586, dice0 = 0.05809, cross0 = 0.0683, kl0 = 0.0059, exclusion0 = 0.0470,     dice1 = 0.03781, cross1 = 0.0372, kl1 = 0.0044, exclusion1 = 0.0333
1.157757
Epoch: [ 78] [3950/4000] time: 46204.7356, net0_loss = 0.05659, net0_acc = 0.9928, net0_test_acc = 0.9812,     net1_loss = 0.22189, net1_acc = 0.9630, net1_test_acc = 0.9885
Epoch: [ 78] [3950/4000] time: 46204.7357, dice0 = 0.02029, cross0 = 0.0212, kl0 = 0.0052, exclusion0 = 0.0251,     dice1 = 0.08079, cross1 = 0.0983, kl1 = 0.0127, exclusion1 = 0.0728
1.1924477
Epoch: [ 79] [  0/4000] time: 46212.1556, net0_loss = 0.11606, net0_acc = 0.9814, net0_test_acc = 0.9645,     net1_loss = 0.14677, net1_acc = 0.9764, net1_test_acc = 0.9619
Epoch: [ 79] [  0/4000] time: 46212.1558, dice0 = 0.04450, cross0 = 0.0451, kl0 = 0.0072, exclusion0 = 0.0457,     dice1 = 0.05384, cross1 = 0.0694, kl1 = 0.0058, exclusion1 = 0.0413
1.0747687
Epoch: [ 79] [ 50/4000] time: 46219.5024, net0_loss = 0.14869, net0_acc = 0.9753, net0_test_acc = 0.9768,     net1_loss = 0.15459, net1_acc = 0.9770, net1_test_acc = 0.9260
Epoch: [ 79] [ 50/4000] time: 46219.5025, dice0 = 0.05837, cross0 = 0.0581, kl0 = 0.0072, exclusion0 = 0.0572,     dice1 = 0.05089, cross1 = 0.0607, kl1 = 0.0180, exclusion1 = 0.0680
1.1489205
Epoch: [ 79] [100/4000] time: 46226.9948, net0_loss = 0.16520, net0_acc = 0.9723, net0_test_acc = 0.8872,     net1_loss = 0.16780, net1_acc = 0.9757, net1_test_acc = 0.9890
Epoch: [ 79] [100/4000] time: 46226.9949, dice0 = 0.06200, cross0 = 0.0684, kl0 = 0.0110, exclusion0 = 0.0587,     dice1 = 0.05898, cross1 = 0.0597, kl1 = 0.0198, exclusion1 = 0.0784
1.09937
Epoch: [ 79] [150/4000] time: 46234.4121, net0_loss = 0.13777, net0_acc = 0.9796, net0_test_acc = 0.9091,     net1_loss = 0.14256, net1_acc = 0.9755, net1_test_acc = 0.9894
Epoch: [ 79] [150/4000] time: 46234.4122, dice0 = 0.04942, cross0 = 0.0551, kl0 = 0.0121, exclusion0 = 0.0544,     dice1 = 0.05387, cross1 = 0.0606, kl1 = 0.0089, exclusion1 = 0.0474
1.206678
Epoch: [ 79] [200/4000] time: 46241.6972, net0_loss = 0.27181, net0_acc = 0.9571, net0_test_acc = 0.9037,     net1_loss = 0.08692, net1_acc = 0.9870, net1_test_acc = 0.9180
Epoch: [ 79] [200/4000] time: 46241.6973, dice0 = 0.09115, cross0 = 0.1426, kl0 = 0.0116, exclusion0 = 0.0644,     dice1 = 0.03466, cross1 = 0.0318, kl1 = 0.0041, exclusion1 = 0.0368
1.1170001
Epoch: [ 79] [250/4000] time: 46249.2150, net0_loss = 0.11860, net0_acc = 0.9807, net0_test_acc = 0.9670,     net1_loss = 0.13852, net1_acc = 0.9780, net1_test_acc = 0.9595
Epoch: [ 79] [250/4000] time: 46249.2151, dice0 = 0.04554, cross0 = 0.0514, kl0 = 0.0052, exclusion0 = 0.0380,     dice1 = 0.05198, cross1 = 0.0509, kl1 = 0.0113, exclusion1 = 0.0600
1.23861
Epoch: [ 79] [300/4000] time: 46256.6716, net0_loss = 0.13103, net0_acc = 0.9783, net0_test_acc = 0.7530,     net1_loss = 0.07527, net1_acc = 0.9886, net1_test_acc = 0.8957
Epoch: [ 79] [300/4000] time: 46256.6717, dice0 = 0.05175, cross0 = 0.0534, kl0 = 0.0034, exclusion0 = 0.0484,     dice1 = 0.02879, cross1 = 0.0265, kl1 = 0.0065, exclusion1 = 0.0334
1.2149462
Epoch: [ 79] [350/4000] time: 46263.9944, net0_loss = 0.13511, net0_acc = 0.9806, net0_test_acc = 0.8384,     net1_loss = 0.24809, net1_acc = 0.9584, net1_test_acc = 0.8291
Epoch: [ 79] [350/4000] time: 46263.9944, dice0 = 0.05120, cross0 = 0.0520, kl0 = 0.0065, exclusion0 = 0.0574,     dice1 = 0.08808, cross1 = 0.1141, kl1 = 0.0157, exclusion1 = 0.0761
1.1500676
Epoch: [ 79] [400/4000] time: 46271.4955, net0_loss = 0.04156, net0_acc = 0.9949, net0_test_acc = 0.9836,     net1_loss = 0.11072, net1_acc = 0.9842, net1_test_acc = 0.9698
Epoch: [ 79] [400/4000] time: 46271.4956, dice0 = 0.01595, cross0 = 0.0126, kl0 = 0.0029, exclusion0 = 0.0231,     dice1 = 0.04058, cross1 = 0.0384, kl1 = 0.0100, exclusion1 = 0.0535
1.2192363
Epoch: [ 79] [450/4000] time: 46278.9275, net0_loss = 0.21227, net0_acc = 0.9649, net0_test_acc = 0.9332,     net1_loss = 0.24942, net1_acc = 0.9630, net1_test_acc = 0.9444
Epoch: [ 79] [450/4000] time: 46278.9276, dice0 = 0.07903, cross0 = 0.0866, kl0 = 0.0148, exclusion0 = 0.0785,     dice1 = 0.08144, cross1 = 0.1112, kl1 = 0.0262, exclusion1 = 0.0873
1.1871932
Epoch: [ 79] [500/4000] time: 46286.3336, net0_loss = 0.07037, net0_acc = 0.9896, net0_test_acc = 0.9543,     net1_loss = 0.22404, net1_acc = 0.9615, net1_test_acc = 0.9818
Epoch: [ 79] [500/4000] time: 46286.3337, dice0 = 0.02738, cross0 = 0.0253, kl0 = 0.0042, exclusion0 = 0.0312,     dice1 = 0.08037, cross1 = 0.1042, kl1 = 0.0137, exclusion1 = 0.0654
1.1675471
Epoch: [ 79] [550/4000] time: 46293.7526, net0_loss = 0.13692, net0_acc = 0.9804, net0_test_acc = 0.8999,     net1_loss = 0.23273, net1_acc = 0.9608, net1_test_acc = 0.9752
Epoch: [ 79] [550/4000] time: 46293.7527, dice0 = 0.05180, cross0 = 0.0469, kl0 = 0.0116, exclusion0 = 0.0648,     dice1 = 0.08350, cross1 = 0.0990, kl1 = 0.0183, exclusion1 = 0.0821
1.1155982
Epoch: [ 79] [600/4000] time: 46301.1468, net0_loss = 0.15436, net0_acc = 0.9743, net0_test_acc = 0.9556,     net1_loss = 0.20110, net1_acc = 0.9684, net1_test_acc = 0.9209
Epoch: [ 79] [600/4000] time: 46301.1469, dice0 = 0.05930, cross0 = 0.0606, kl0 = 0.0094, exclusion0 = 0.0595,     dice1 = 0.07491, cross1 = 0.0840, kl1 = 0.0132, exclusion1 = 0.0712
1.273449
Epoch: [ 79] [650/4000] time: 46308.5852, net0_loss = 0.08910, net0_acc = 0.9861, net0_test_acc = 0.9537,     net1_loss = 0.05766, net1_acc = 0.9913, net1_test_acc = 0.9197
Epoch: [ 79] [650/4000] time: 46308.5853, dice0 = 0.03578, cross0 = 0.0344, kl0 = 0.0023, exclusion0 = 0.0356,     dice1 = 0.02326, cross1 = 0.0217, kl1 = 0.0020, exclusion1 = 0.0235
1.1175805
Epoch: [ 79] [700/4000] time: 46315.9532, net0_loss = 0.24708, net0_acc = 0.9594, net0_test_acc = 0.9722,     net1_loss = 0.12219, net1_acc = 0.9819, net1_test_acc = 0.9112
Epoch: [ 79] [700/4000] time: 46315.9533, dice0 = 0.08477, cross0 = 0.1141, kl0 = 0.0188, exclusion0 = 0.0778,     dice1 = 0.04746, cross1 = 0.0454, kl1 = 0.0068, exclusion1 = 0.0519
1.1385226
Epoch: [ 79] [750/4000] time: 46323.3168, net0_loss = 0.09442, net0_acc = 0.9846, net0_test_acc = 0.7599,     net1_loss = 0.20341, net1_acc = 0.9667, net1_test_acc = 0.9443
Epoch: [ 79] [750/4000] time: 46323.3168, dice0 = 0.03711, cross0 = 0.0376, kl0 = 0.0046, exclusion0 = 0.0349,     dice1 = 0.07276, cross1 = 0.0910, kl1 = 0.0134, exclusion1 = 0.0659
1.1381841
Epoch: [ 79] [800/4000] time: 46330.7846, net0_loss = 0.15477, net0_acc = 0.9737, net0_test_acc = 0.9075,     net1_loss = 0.12177, net1_acc = 0.9812, net1_test_acc = 0.8211
Epoch: [ 79] [800/4000] time: 46330.7846, dice0 = 0.05703, cross0 = 0.0742, kl0 = 0.0057, exclusion0 = 0.0414,     dice1 = 0.04734, cross1 = 0.0465, kl1 = 0.0069, exclusion1 = 0.0489
1.2221218
Epoch: [ 79] [850/4000] time: 46338.2075, net0_loss = 0.04932, net0_acc = 0.9940, net0_test_acc = 0.8978,     net1_loss = 0.09701, net1_acc = 0.9858, net1_test_acc = 0.9619
Epoch: [ 79] [850/4000] time: 46338.2075, dice0 = 0.02038, cross0 = 0.0152, kl0 = 0.0021, exclusion0 = 0.0254,     dice1 = 0.03657, cross1 = 0.0350, kl1 = 0.0069, exclusion1 = 0.0439
1.1307803
Epoch: [ 79] [900/4000] time: 46345.6127, net0_loss = 0.05860, net0_acc = 0.9919, net0_test_acc = 0.9302,     net1_loss = 0.17217, net1_acc = 0.9700, net1_test_acc = 0.9793
Epoch: [ 79] [900/4000] time: 46345.6128, dice0 = 0.02342, cross0 = 0.0199, kl0 = 0.0038, exclusion0 = 0.0267,     dice1 = 0.06669, cross1 = 0.0732, kl1 = 0.0057, exclusion1 = 0.0589
1.1847694
Epoch: [ 79] [950/4000] time: 46352.8748, net0_loss = 0.15829, net0_acc = 0.9729, net0_test_acc = 0.9103,     net1_loss = 0.04696, net1_acc = 0.9929, net1_test_acc = 0.9312
Epoch: [ 79] [950/4000] time: 46352.8749, dice0 = 0.06137, cross0 = 0.0680, kl0 = 0.0068, exclusion0 = 0.0511,     dice1 = 0.01847, cross1 = 0.0171, kl1 = 0.0021, exclusion1 = 0.0207
1.3012466
Epoch: [ 79] [1000/4000] time: 46360.4143, net0_loss = 0.11251, net0_acc = 0.9821, net0_test_acc = 0.9582,     net1_loss = 0.02583, net1_acc = 0.9969, net1_test_acc = 0.9260
Epoch: [ 79] [1000/4000] time: 46360.4144, dice0 = 0.04346, cross0 = 0.0442, kl0 = 0.0067, exclusion0 = 0.0430,     dice1 = 0.01007, cross1 = 0.0088, kl1 = 0.0018, exclusion1 = 0.0121
1.3961372
Epoch: [ 79] [1050/4000] time: 46367.7655, net0_loss = 0.10304, net0_acc = 0.9821, net0_test_acc = 0.7880,     net1_loss = 0.11279, net1_acc = 0.9818, net1_test_acc = 0.8109
Epoch: [ 79] [1050/4000] time: 46367.7656, dice0 = 0.03959, cross0 = 0.0477, kl0 = 0.0025, exclusion0 = 0.0291,     dice1 = 0.04228, cross1 = 0.0445, kl1 = 0.0072, exclusion1 = 0.0448
1.2020155
Epoch: [ 79] [1100/4000] time: 46375.0543, net0_loss = 0.21643, net0_acc = 0.9684, net0_test_acc = 0.8214,     net1_loss = 0.04281, net1_acc = 0.9937, net1_test_acc = 0.8318
Epoch: [ 79] [1100/4000] time: 46375.0544, dice0 = 0.08130, cross0 = 0.0874, kl0 = 0.0100, exclusion0 = 0.0855,     dice1 = 0.01698, cross1 = 0.0171, kl1 = 0.0014, exclusion1 = 0.0160
1.1816635
Epoch: [ 79] [1150/4000] time: 46382.6324, net0_loss = 0.21491, net0_acc = 0.9641, net0_test_acc = 0.9782,     net1_loss = 0.12435, net1_acc = 0.9801, net1_test_acc = 0.9466
Epoch: [ 79] [1150/4000] time: 46382.6325, dice0 = 0.08210, cross0 = 0.0864, kl0 = 0.0114, exclusion0 = 0.0815,     dice1 = 0.04213, cross1 = 0.0613, kl1 = 0.0072, exclusion1 = 0.0346
1.3993293
Epoch: [ 79] [1200/4000] time: 46389.9897, net0_loss = 0.15391, net0_acc = 0.9729, net0_test_acc = 0.9892,     net1_loss = 0.18943, net1_acc = 0.9665, net1_test_acc = 0.9567
Epoch: [ 79] [1200/4000] time: 46389.9897, dice0 = 0.05611, cross0 = 0.0754, kl0 = 0.0058, exclusion0 = 0.0390,     dice1 = 0.07095, cross1 = 0.0868, kl1 = 0.0083, exclusion1 = 0.0551
1.0844315
Epoch: [ 79] [1250/4000] time: 46397.4023, net0_loss = 0.14043, net0_acc = 0.9789, net0_test_acc = 0.9410,     net1_loss = 0.12608, net1_acc = 0.9838, net1_test_acc = 0.8441
Epoch: [ 79] [1250/4000] time: 46397.4024, dice0 = 0.05115, cross0 = 0.0535, kl0 = 0.0117, exclusion0 = 0.0599,     dice1 = 0.04102, cross1 = 0.0443, kl1 = 0.0190, exclusion1 = 0.0625
1.1950032
Epoch: [ 79] [1300/4000] time: 46404.8115, net0_loss = 0.10321, net0_acc = 0.9826, net0_test_acc = 0.9809,     net1_loss = 0.27973, net1_acc = 0.9555, net1_test_acc = 0.8916
Epoch: [ 79] [1300/4000] time: 46404.8116, dice0 = 0.03766, cross0 = 0.0509, kl0 = 0.0037, exclusion0 = 0.0257,     dice1 = 0.09829, cross1 = 0.1144, kl1 = 0.0284, exclusion1 = 0.1057
1.1703768
Epoch: [ 79] [1350/4000] time: 46412.1810, net0_loss = 0.15787, net0_acc = 0.9721, net0_test_acc = 0.9384,     net1_loss = 0.11305, net1_acc = 0.9794, net1_test_acc = 0.9611
Epoch: [ 79] [1350/4000] time: 46412.1811, dice0 = 0.06109, cross0 = 0.0722, kl0 = 0.0035, exclusion0 = 0.0456,     dice1 = 0.04493, cross1 = 0.0508, kl1 = 0.0029, exclusion1 = 0.0317
1.1365087
Epoch: [ 79] [1400/4000] time: 46419.6050, net0_loss = 0.07428, net0_acc = 0.9894, net0_test_acc = 0.9435,     net1_loss = 0.09541, net1_acc = 0.9862, net1_test_acc = 0.9798
Epoch: [ 79] [1400/4000] time: 46419.6050, dice0 = 0.02915, cross0 = 0.0271, kl0 = 0.0031, exclusion0 = 0.0330,     dice1 = 0.03761, cross1 = 0.0326, kl1 = 0.0054, exclusion1 = 0.0449
1.1708839
Epoch: [ 79] [1450/4000] time: 46427.0001, net0_loss = 0.16519, net0_acc = 0.9713, net0_test_acc = 0.8761,     net1_loss = 0.06200, net1_acc = 0.9897, net1_test_acc = 0.9530
Epoch: [ 79] [1450/4000] time: 46427.0001, dice0 = 0.06334, cross0 = 0.0713, kl0 = 0.0078, exclusion0 = 0.0533,     dice1 = 0.02463, cross1 = 0.0251, kl1 = 0.0021, exclusion1 = 0.0225
1.1582712
Epoch: [ 79] [1500/4000] time: 46434.3909, net0_loss = 0.10559, net0_acc = 0.9844, net0_test_acc = 0.9006,     net1_loss = 0.05443, net1_acc = 0.9907, net1_test_acc = 0.9562
Epoch: [ 79] [1500/4000] time: 46434.3909, dice0 = 0.03941, cross0 = 0.0425, kl0 = 0.0060, exclusion0 = 0.0413,     dice1 = 0.02188, cross1 = 0.0240, kl1 = 0.0010, exclusion1 = 0.0161
1.2512486
Epoch: [ 79] [1550/4000] time: 46441.8141, net0_loss = 0.04918, net0_acc = 0.9926, net0_test_acc = 0.9703,     net1_loss = 0.05968, net1_acc = 0.9910, net1_test_acc = 0.9286
Epoch: [ 79] [1550/4000] time: 46441.8142, dice0 = 0.02031, cross0 = 0.0172, kl0 = 0.0013, exclusion0 = 0.0220,     dice1 = 0.02317, cross1 = 0.0225, kl1 = 0.0038, exclusion1 = 0.0241
1.1146548
Epoch: [ 79] [1600/4000] time: 46449.1434, net0_loss = 0.06334, net0_acc = 0.9895, net0_test_acc = 0.9075,     net1_loss = 0.12866, net1_acc = 0.9793, net1_test_acc = 0.9667
Epoch: [ 79] [1600/4000] time: 46449.1435, dice0 = 0.02505, cross0 = 0.0234, kl0 = 0.0030, exclusion0 = 0.0268,     dice1 = 0.05017, cross1 = 0.0517, kl1 = 0.0059, exclusion1 = 0.0478
1.0911423
Epoch: [ 79] [1650/4000] time: 46456.6176, net0_loss = 0.05645, net0_acc = 0.9906, net0_test_acc = 0.9837,     net1_loss = 0.05486, net1_acc = 0.9910, net1_test_acc = 0.9517
Epoch: [ 79] [1650/4000] time: 46456.6177, dice0 = 0.02015, cross0 = 0.0299, kl0 = 0.0014, exclusion0 = 0.0115,     dice1 = 0.02137, cross1 = 0.0247, kl1 = 0.0013, exclusion1 = 0.0164
1.1844854
Epoch: [ 79] [1700/4000] time: 46463.9688, net0_loss = 0.09832, net0_acc = 0.9848, net0_test_acc = 0.7504,     net1_loss = 0.16677, net1_acc = 0.9727, net1_test_acc = 0.9109
Epoch: [ 79] [1700/4000] time: 46463.9689, dice0 = 0.03827, cross0 = 0.0398, kl0 = 0.0034, exclusion0 = 0.0371,     dice1 = 0.06058, cross1 = 0.0764, kl1 = 0.0084, exclusion1 = 0.0511
1.1515988
Epoch: [ 79] [1750/4000] time: 46471.3802, net0_loss = 0.14382, net0_acc = 0.9771, net0_test_acc = 0.9336,     net1_loss = 0.14836, net1_acc = 0.9762, net1_test_acc = 0.9429
Epoch: [ 79] [1750/4000] time: 46471.3803, dice0 = 0.05502, cross0 = 0.0568, kl0 = 0.0077, exclusion0 = 0.0563,     dice1 = 0.05717, cross1 = 0.0587, kl1 = 0.0100, exclusion1 = 0.0549
1.1410403
Epoch: [ 79] [1800/4000] time: 46478.8158, net0_loss = 0.06048, net0_acc = 0.9898, net0_test_acc = 0.9351,     net1_loss = 0.20662, net1_acc = 0.9689, net1_test_acc = 0.9556
Epoch: [ 79] [1800/4000] time: 46478.8158, dice0 = 0.02288, cross0 = 0.0295, kl0 = 0.0010, exclusion0 = 0.0152,     dice1 = 0.06720, cross1 = 0.0919, kl1 = 0.0242, exclusion1 = 0.0707
1.2547137
Epoch: [ 79] [1850/4000] time: 46486.2113, net0_loss = 0.06276, net0_acc = 0.9892, net0_test_acc = 0.9356,     net1_loss = 0.12022, net1_acc = 0.9813, net1_test_acc = 0.9261
Epoch: [ 79] [1850/4000] time: 46486.2114, dice0 = 0.02492, cross0 = 0.0273, kl0 = 0.0018, exclusion0 = 0.0193,     dice1 = 0.04539, cross1 = 0.0476, kl1 = 0.0086, exclusion1 = 0.0459
1.3091211
Epoch: [ 79] [1900/4000] time: 46493.5879, net0_loss = 0.06279, net0_acc = 0.9893, net0_test_acc = 0.8062,     net1_loss = 0.14281, net1_acc = 0.9769, net1_test_acc = 0.9272
Epoch: [ 79] [1900/4000] time: 46493.5880, dice0 = 0.02427, cross0 = 0.0287, kl0 = 0.0017, exclusion0 = 0.0179,     dice1 = 0.05696, cross1 = 0.0557, kl1 = 0.0058, exclusion1 = 0.0545
1.0606861
Epoch: [ 79] [1950/4000] time: 46500.9938, net0_loss = 0.20023, net0_acc = 0.9693, net0_test_acc = 0.9083,     net1_loss = 0.10310, net1_acc = 0.9839, net1_test_acc = 0.9283
Epoch: [ 79] [1950/4000] time: 46500.9939, dice0 = 0.06672, cross0 = 0.0934, kl0 = 0.0171, exclusion0 = 0.0631,     dice1 = 0.03810, cross1 = 0.0411, kl1 = 0.0085, exclusion1 = 0.0393
1.1625447
Epoch: [ 79] [2000/4000] time: 46508.2855, net0_loss = 0.12033, net0_acc = 0.9815, net0_test_acc = 0.9445,     net1_loss = 0.16312, net1_acc = 0.9716, net1_test_acc = 0.9327
Epoch: [ 79] [2000/4000] time: 46508.2856, dice0 = 0.04620, cross0 = 0.0490, kl0 = 0.0071, exclusion0 = 0.0431,     dice1 = 0.06209, cross1 = 0.0770, kl1 = 0.0040, exclusion1 = 0.0441
1.2101265
Epoch: [ 79] [2050/4000] time: 46515.7908, net0_loss = 0.15857, net0_acc = 0.9720, net0_test_acc = 0.8043,     net1_loss = 0.34635, net1_acc = 0.9406, net1_test_acc = 0.9375
Epoch: [ 79] [2050/4000] time: 46515.7909, dice0 = 0.06055, cross0 = 0.0719, kl0 = 0.0049, exclusion0 = 0.0473,     dice1 = 0.11740, cross1 = 0.1907, kl1 = 0.0092, exclusion1 = 0.0672
1.1219432
Epoch: [ 79] [2100/4000] time: 46523.2372, net0_loss = 0.14421, net0_acc = 0.9765, net0_test_acc = 0.9660,     net1_loss = 0.14980, net1_acc = 0.9776, net1_test_acc = 0.9619
Epoch: [ 79] [2100/4000] time: 46523.2373, dice0 = 0.05463, cross0 = 0.0660, kl0 = 0.0033, exclusion0 = 0.0439,     dice1 = 0.05614, cross1 = 0.0530, kl1 = 0.0129, exclusion1 = 0.0685
1.1615818
Epoch: [ 79] [2150/4000] time: 46530.6613, net0_loss = 0.16494, net0_acc = 0.9784, net0_test_acc = 0.9468,     net1_loss = 0.29382, net1_acc = 0.9485, net1_test_acc = 0.9919
Epoch: [ 79] [2150/4000] time: 46530.6614, dice0 = 0.05440, cross0 = 0.0719, kl0 = 0.0127, exclusion0 = 0.0645,     dice1 = 0.10281, cross1 = 0.1480, kl1 = 0.0163, exclusion1 = 0.0698
1.1433877
Epoch: [ 79] [2200/4000] time: 46538.0114, net0_loss = 0.27580, net0_acc = 0.9561, net0_test_acc = 0.9612,     net1_loss = 0.09023, net1_acc = 0.9855, net1_test_acc = 0.8918
Epoch: [ 79] [2200/4000] time: 46538.0115, dice0 = 0.10340, cross0 = 0.1104, kl0 = 0.0157, exclusion0 = 0.1083,     dice1 = 0.03634, cross1 = 0.0336, kl1 = 0.0026, exclusion1 = 0.0381
1.1319339
Epoch: [ 79] [2250/4000] time: 46545.4705, net0_loss = 0.07804, net0_acc = 0.9886, net0_test_acc = 0.8873,     net1_loss = 0.03385, net1_acc = 0.9942, net1_test_acc = 0.9065
Epoch: [ 79] [2250/4000] time: 46545.4706, dice0 = 0.03033, cross0 = 0.0305, kl0 = 0.0045, exclusion0 = 0.0300,     dice1 = 0.01354, cross1 = 0.0136, kl1 = 0.0015, exclusion1 = 0.0119
1.2960875
Epoch: [ 79] [2300/4000] time: 46552.8772, net0_loss = 0.10974, net0_acc = 0.9824, net0_test_acc = 0.8268,     net1_loss = 0.08887, net1_acc = 0.9865, net1_test_acc = 0.9671
Epoch: [ 79] [2300/4000] time: 46552.8773, dice0 = 0.04361, cross0 = 0.0431, kl0 = 0.0047, exclusion0 = 0.0413,     dice1 = 0.03252, cross1 = 0.0406, kl1 = 0.0040, exclusion1 = 0.0275
1.1343892
Epoch: [ 79] [2350/4000] time: 46560.2730, net0_loss = 0.20723, net0_acc = 0.9621, net0_test_acc = 0.9815,     net1_loss = 0.18783, net1_acc = 0.9703, net1_test_acc = 0.8795
Epoch: [ 79] [2350/4000] time: 46560.2731, dice0 = 0.07602, cross0 = 0.1057, kl0 = 0.0053, exclusion0 = 0.0456,     dice1 = 0.07088, cross1 = 0.0720, kl1 = 0.0114, exclusion1 = 0.0785
1.1364516
Epoch: [ 79] [2400/4000] time: 46567.6972, net0_loss = 0.15227, net0_acc = 0.9776, net0_test_acc = 0.9394,     net1_loss = 0.07769, net1_acc = 0.9863, net1_test_acc = 0.9650
Epoch: [ 79] [2400/4000] time: 46567.6972, dice0 = 0.05921, cross0 = 0.0594, kl0 = 0.0059, exclusion0 = 0.0615,     dice1 = 0.02964, cross1 = 0.0342, kl1 = 0.0039, exclusion1 = 0.0238
1.383843
Epoch: [ 79] [2450/4000] time: 46575.1062, net0_loss = 0.10457, net0_acc = 0.9820, net0_test_acc = 0.8871,     net1_loss = 0.12156, net1_acc = 0.9822, net1_test_acc = 0.9388
Epoch: [ 79] [2450/4000] time: 46575.1062, dice0 = 0.03967, cross0 = 0.0488, kl0 = 0.0033, exclusion0 = 0.0289,     dice1 = 0.04451, cross1 = 0.0532, kl1 = 0.0061, exclusion1 = 0.0415
1.239049
Epoch: [ 79] [2500/4000] time: 46582.4457, net0_loss = 0.25544, net0_acc = 0.9598, net0_test_acc = 0.9567,     net1_loss = 0.19654, net1_acc = 0.9714, net1_test_acc = 0.8892
Epoch: [ 79] [2500/4000] time: 46582.4458, dice0 = 0.09410, cross0 = 0.1067, kl0 = 0.0178, exclusion0 = 0.0915,     dice1 = 0.06516, cross1 = 0.0792, kl1 = 0.0243, exclusion1 = 0.0800
1.1364456
Epoch: [ 79] [2550/4000] time: 46589.9032, net0_loss = 0.09002, net0_acc = 0.9861, net0_test_acc = 0.9755,     net1_loss = 0.13122, net1_acc = 0.9802, net1_test_acc = 0.9562
Epoch: [ 79] [2550/4000] time: 46589.9032, dice0 = 0.03663, cross0 = 0.0323, kl0 = 0.0040, exclusion0 = 0.0382,     dice1 = 0.04797, cross1 = 0.0581, kl1 = 0.0062, exclusion1 = 0.0442
1.0816176
Epoch: [ 79] [2600/4000] time: 46597.2892, net0_loss = 0.13742, net0_acc = 0.9793, net0_test_acc = 0.9508,     net1_loss = 0.06820, net1_acc = 0.9886, net1_test_acc = 0.9528
Epoch: [ 79] [2600/4000] time: 46597.2893, dice0 = 0.05006, cross0 = 0.0527, kl0 = 0.0117, exclusion0 = 0.0575,     dice1 = 0.02648, cross1 = 0.0294, kl1 = 0.0022, exclusion1 = 0.0225
1.1451902
Epoch: [ 79] [2650/4000] time: 46604.7300, net0_loss = 0.10574, net0_acc = 0.9828, net0_test_acc = 0.9454,     net1_loss = 0.17765, net1_acc = 0.9731, net1_test_acc = 0.7737
Epoch: [ 79] [2650/4000] time: 46604.7301, dice0 = 0.04261, cross0 = 0.0417, kl0 = 0.0028, exclusion0 = 0.0401,     dice1 = 0.06281, cross1 = 0.0712, kl1 = 0.0162, exclusion1 = 0.0710
1.0701876
Epoch: [ 79] [2700/4000] time: 46612.0476, net0_loss = 0.14443, net0_acc = 0.9775, net0_test_acc = 0.8624,     net1_loss = 0.16729, net1_acc = 0.9716, net1_test_acc = 0.9200
Epoch: [ 79] [2700/4000] time: 46612.0477, dice0 = 0.05636, cross0 = 0.0534, kl0 = 0.0092, exclusion0 = 0.0601,     dice1 = 0.06150, cross1 = 0.0708, kl1 = 0.0119, exclusion1 = 0.0580
1.0349176
Epoch: [ 79] [2750/4000] time: 46619.4448, net0_loss = 0.14720, net0_acc = 0.9791, net0_test_acc = 0.9122,     net1_loss = 0.11791, net1_acc = 0.9792, net1_test_acc = 0.8146
Epoch: [ 79] [2750/4000] time: 46619.4449, dice0 = 0.05702, cross0 = 0.0513, kl0 = 0.0091, exclusion0 = 0.0686,     dice1 = 0.04296, cross1 = 0.0632, kl1 = 0.0019, exclusion1 = 0.0216
1.1117455
Epoch: [ 79] [2800/4000] time: 46626.9564, net0_loss = 0.05403, net0_acc = 0.9920, net0_test_acc = 0.9285,     net1_loss = 0.11864, net1_acc = 0.9824, net1_test_acc = 0.9354
Epoch: [ 79] [2800/4000] time: 46626.9564, dice0 = 0.02130, cross0 = 0.0206, kl0 = 0.0025, exclusion0 = 0.0218,     dice1 = 0.04328, cross1 = 0.0425, kl1 = 0.0130, exclusion1 = 0.0527
1.1913247
Epoch: [ 79] [2850/4000] time: 46634.3504, net0_loss = 0.13588, net0_acc = 0.9771, net0_test_acc = 0.9349,     net1_loss = 0.25013, net1_acc = 0.9607, net1_test_acc = 0.9462
Epoch: [ 79] [2850/4000] time: 46634.3505, dice0 = 0.05043, cross0 = 0.0614, kl0 = 0.0068, exclusion0 = 0.0413,     dice1 = 0.08264, cross1 = 0.1303, kl1 = 0.0127, exclusion1 = 0.0617
1.1570423
Epoch: [ 79] [2900/4000] time: 46641.7149, net0_loss = 0.06610, net0_acc = 0.9892, net0_test_acc = 0.9744,     net1_loss = 0.10218, net1_acc = 0.9833, net1_test_acc = 0.9424
Epoch: [ 79] [2900/4000] time: 46641.7149, dice0 = 0.02614, cross0 = 0.0295, kl0 = 0.0011, exclusion0 = 0.0199,     dice1 = 0.03932, cross1 = 0.0406, kl1 = 0.0058, exclusion1 = 0.0387
1.1369476
Epoch: [ 79] [2950/4000] time: 46649.1354, net0_loss = 0.10193, net0_acc = 0.9819, net0_test_acc = 0.9368,     net1_loss = 0.28401, net1_acc = 0.9491, net1_test_acc = 0.8729
Epoch: [ 79] [2950/4000] time: 46649.1355, dice0 = 0.03976, cross0 = 0.0444, kl0 = 0.0039, exclusion0 = 0.0317,     dice1 = 0.10404, cross1 = 0.1372, kl1 = 0.0100, exclusion1 = 0.0756
1.213828
Epoch: [ 79] [3000/4000] time: 46656.5343, net0_loss = 0.12912, net0_acc = 0.9816, net0_test_acc = 0.9563,     net1_loss = 0.16469, net1_acc = 0.9740, net1_test_acc = 0.9813
Epoch: [ 79] [3000/4000] time: 46656.5343, dice0 = 0.04723, cross0 = 0.0431, kl0 = 0.0136, exclusion0 = 0.0639,     dice1 = 0.05939, cross1 = 0.0776, kl1 = 0.0068, exclusion1 = 0.0486
1.1124507
Epoch: [ 79] [3050/4000] time: 46663.9133, net0_loss = 0.11934, net0_acc = 0.9813, net0_test_acc = 0.8681,     net1_loss = 0.08001, net1_acc = 0.9871, net1_test_acc = 0.8503
Epoch: [ 79] [3050/4000] time: 46663.9134, dice0 = 0.04225, cross0 = 0.0528, kl0 = 0.0100, exclusion0 = 0.0386,     dice1 = 0.03161, cross1 = 0.0316, kl1 = 0.0035, exclusion1 = 0.0300
1.2565362
Epoch: [ 79] [3100/4000] time: 46671.2840, net0_loss = 0.05179, net0_acc = 0.9923, net0_test_acc = 0.9257,     net1_loss = 0.13109, net1_acc = 0.9772, net1_test_acc = 0.9000
Epoch: [ 79] [3100/4000] time: 46671.2841, dice0 = 0.02058, cross0 = 0.0181, kl0 = 0.0032, exclusion0 = 0.0230,     dice1 = 0.05112, cross1 = 0.0565, kl1 = 0.0047, exclusion1 = 0.0423
1.1485472
Epoch: [ 79] [3150/4000] time: 46678.6580, net0_loss = 0.02396, net0_acc = 0.9970, net0_test_acc = 0.9381,     net1_loss = 0.07520, net1_acc = 0.9871, net1_test_acc = 0.9467
Epoch: [ 79] [3150/4000] time: 46678.6580, dice0 = 0.00903, cross0 = 0.0078, kl0 = 0.0019, exclusion0 = 0.0124,     dice1 = 0.02965, cross1 = 0.0310, kl1 = 0.0034, exclusion1 = 0.0256
1.202794
Epoch: [ 79] [3200/4000] time: 46686.0984, net0_loss = 0.14309, net0_acc = 0.9765, net0_test_acc = 0.9272,     net1_loss = 0.24368, net1_acc = 0.9610, net1_test_acc = 0.9894
Epoch: [ 79] [3200/4000] time: 46686.0984, dice0 = 0.05459, cross0 = 0.0577, kl0 = 0.0088, exclusion0 = 0.0528,     dice1 = 0.08205, cross1 = 0.1230, kl1 = 0.0129, exclusion1 = 0.0644
1.2024117
Epoch: [ 79] [3250/4000] time: 46693.5190, net0_loss = 0.14548, net0_acc = 0.9774, net0_test_acc = 0.9346,     net1_loss = 0.05180, net1_acc = 0.9915, net1_test_acc = 0.7981
Epoch: [ 79] [3250/4000] time: 46693.5190, dice0 = 0.05599, cross0 = 0.0575, kl0 = 0.0066, exclusion0 = 0.0575,     dice1 = 0.02020, cross1 = 0.0218, kl1 = 0.0016, exclusion1 = 0.0179
1.1568881
Epoch: [ 79] [3300/4000] time: 46700.9301, net0_loss = 0.13118, net0_acc = 0.9831, net0_test_acc = 0.8837,     net1_loss = 0.04736, net1_acc = 0.9951, net1_test_acc = 0.9855
Epoch: [ 79] [3300/4000] time: 46700.9302, dice0 = 0.04122, cross0 = 0.0385, kl0 = 0.0253, exclusion0 = 0.0776,     dice1 = 0.01605, cross1 = 0.0127, kl1 = 0.0073, exclusion1 = 0.0298
1.409801
Epoch: [ 79] [3350/4000] time: 46708.3441, net0_loss = 0.05216, net0_acc = 0.9917, net0_test_acc = 0.9413,     net1_loss = 0.13662, net1_acc = 0.9787, net1_test_acc = 0.9169
Epoch: [ 79] [3350/4000] time: 46708.3441, dice0 = 0.02055, cross0 = 0.0192, kl0 = 0.0028, exclusion0 = 0.0220,     dice1 = 0.05279, cross1 = 0.0490, kl1 = 0.0103, exclusion1 = 0.0594
1.2356602
Epoch: [ 79] [3400/4000] time: 46715.7232, net0_loss = 0.06025, net0_acc = 0.9908, net0_test_acc = 0.8563,     net1_loss = 0.09226, net1_acc = 0.9860, net1_test_acc = 0.9109
Epoch: [ 79] [3400/4000] time: 46715.7233, dice0 = 0.02400, cross0 = 0.0212, kl0 = 0.0033, exclusion0 = 0.0269,     dice1 = 0.03420, cross1 = 0.0343, kl1 = 0.0077, exclusion1 = 0.0398
1.2010933
Epoch: [ 79] [3450/4000] time: 46723.1438, net0_loss = 0.14184, net0_acc = 0.9777, net0_test_acc = 0.9160,     net1_loss = 0.14271, net1_acc = 0.9794, net1_test_acc = 0.8347
Epoch: [ 79] [3450/4000] time: 46723.1439, dice0 = 0.05176, cross0 = 0.0599, kl0 = 0.0085, exclusion0 = 0.0518,     dice1 = 0.05250, cross1 = 0.0487, kl1 = 0.0152, exclusion1 = 0.0677
1.1533883
Epoch: [ 79] [3500/4000] time: 46730.5070, net0_loss = 0.04021, net0_acc = 0.9944, net0_test_acc = 0.8952,     net1_loss = 0.12122, net1_acc = 0.9814, net1_test_acc = 0.9110
Epoch: [ 79] [3500/4000] time: 46730.5071, dice0 = 0.01514, cross0 = 0.0160, kl0 = 0.0022, exclusion0 = 0.0159,     dice1 = 0.04397, cross1 = 0.0491, kl1 = 0.0088, exclusion1 = 0.0476
1.2690287
Epoch: [ 79] [3550/4000] time: 46737.9241, net0_loss = 0.10581, net0_acc = 0.9836, net0_test_acc = 0.9331,     net1_loss = 0.12932, net1_acc = 0.9801, net1_test_acc = 0.9205
Epoch: [ 79] [3550/4000] time: 46737.9242, dice0 = 0.04245, cross0 = 0.0416, kl0 = 0.0027, exclusion0 = 0.0409,     dice1 = 0.04554, cross1 = 0.0509, kl1 = 0.0168, exclusion1 = 0.0489
1.2811222
Epoch: [ 79] [3600/4000] time: 46745.2549, net0_loss = 0.17252, net0_acc = 0.9763, net0_test_acc = 0.9032,     net1_loss = 0.20323, net1_acc = 0.9659, net1_test_acc = 0.9259
Epoch: [ 79] [3600/4000] time: 46745.2550, dice0 = 0.05814, cross0 = 0.0710, kl0 = 0.0171, exclusion0 = 0.0697,     dice1 = 0.07188, cross1 = 0.0895, kl1 = 0.0151, exclusion1 = 0.0687
1.1796582
Epoch: [ 79] [3650/4000] time: 46752.6999, net0_loss = 0.05413, net0_acc = 0.9914, net0_test_acc = 0.9323,     net1_loss = 0.19052, net1_acc = 0.9689, net1_test_acc = 0.9317
Epoch: [ 79] [3650/4000] time: 46752.6999, dice0 = 0.02022, cross0 = 0.0214, kl0 = 0.0037, exclusion0 = 0.0213,     dice1 = 0.06917, cross1 = 0.0829, kl1 = 0.0126, exclusion1 = 0.0644
1.2111267
Epoch: [ 79] [3700/4000] time: 46760.1585, net0_loss = 0.22013, net0_acc = 0.9679, net0_test_acc = 0.9815,     net1_loss = 0.21099, net1_acc = 0.9665, net1_test_acc = 0.9904
Epoch: [ 79] [3700/4000] time: 46760.1586, dice0 = 0.06913, cross0 = 0.1029, kl0 = 0.0211, exclusion0 = 0.0752,     dice1 = 0.07224, cross1 = 0.0911, kl1 = 0.0201, exclusion1 = 0.0753
1.2127968
Epoch: [ 79] [3750/4000] time: 46767.4976, net0_loss = 0.11096, net0_acc = 0.9854, net0_test_acc = 0.9660,     net1_loss = 0.09974, net1_acc = 0.9866, net1_test_acc = 0.9596
Epoch: [ 79] [3750/4000] time: 46767.4976, dice0 = 0.03951, cross0 = 0.0380, kl0 = 0.0127, exclusion0 = 0.0543,     dice1 = 0.03769, cross1 = 0.0326, kl1 = 0.0089, exclusion1 = 0.0500
1.1827742
Epoch: [ 79] [3800/4000] time: 46774.9539, net0_loss = 0.05544, net0_acc = 0.9921, net0_test_acc = 0.9687,     net1_loss = 0.13472, net1_acc = 0.9794, net1_test_acc = 0.9363
Epoch: [ 79] [3800/4000] time: 46774.9539, dice0 = 0.02186, cross0 = 0.0214, kl0 = 0.0022, exclusion0 = 0.0222,     dice1 = 0.04856, cross1 = 0.0586, kl1 = 0.0114, exclusion1 = 0.0437
1.1424955
Epoch: [ 79] [3850/4000] time: 46782.3183, net0_loss = 0.14788, net0_acc = 0.9762, net0_test_acc = 0.8823,     net1_loss = 0.17286, net1_acc = 0.9713, net1_test_acc = 0.9884
Epoch: [ 79] [3850/4000] time: 46782.3183, dice0 = 0.05747, cross0 = 0.0540, kl0 = 0.0117, exclusion0 = 0.0610,     dice1 = 0.06568, cross1 = 0.0740, kl1 = 0.0062, exclusion1 = 0.0601
1.2101022
Epoch: [ 79] [3900/4000] time: 46789.7090, net0_loss = 0.17099, net0_acc = 0.9725, net0_test_acc = 0.8961,     net1_loss = 0.16334, net1_acc = 0.9702, net1_test_acc = 0.9904
Epoch: [ 79] [3900/4000] time: 46789.7091, dice0 = 0.06250, cross0 = 0.0856, kl0 = 0.0051, exclusion0 = 0.0406,     dice1 = 0.06087, cross1 = 0.0784, kl1 = 0.0051, exclusion1 = 0.0431
1.1949332
Epoch: [ 79] [3950/4000] time: 46797.1369, net0_loss = 0.07222, net0_acc = 0.9910, net0_test_acc = 0.9046,     net1_loss = 0.08195, net1_acc = 0.9881, net1_test_acc = 0.9159
Epoch: [ 79] [3950/4000] time: 46797.1369, dice0 = 0.02814, cross0 = 0.0281, kl0 = 0.0055, exclusion0 = 0.0265,     dice1 = 0.03120, cross1 = 0.0277, kl1 = 0.0069, exclusion1 = 0.0392
1.1841557
Epoch: [ 80] [  0/4000] time: 46804.4822, net0_loss = 0.10382, net0_acc = 0.9836, net0_test_acc = 0.9662,     net1_loss = 0.17335, net1_acc = 0.9721, net1_test_acc = 0.9613
Epoch: [ 80] [  0/4000] time: 46804.4823, dice0 = 0.03774, cross0 = 0.0389, kl0 = 0.0093, exclusion0 = 0.0452,     dice1 = 0.06601, cross1 = 0.0681, kl1 = 0.0111, exclusion1 = 0.0673
1.1005821
Epoch: [ 80] [ 50/4000] time: 46811.8257, net0_loss = 0.21666, net0_acc = 0.9630, net0_test_acc = 0.7512,     net1_loss = 0.04647, net1_acc = 0.9936, net1_test_acc = 0.8965
Epoch: [ 80] [ 50/4000] time: 46811.8258, dice0 = 0.07820, cross0 = 0.1097, kl0 = 0.0058, exclusion0 = 0.0518,     dice1 = 0.01672, cross1 = 0.0185, kl1 = 0.0033, exclusion1 = 0.0191
1.2375126
Epoch: [ 80] [100/4000] time: 46819.2880, net0_loss = 0.22257, net0_acc = 0.9619, net0_test_acc = 0.8363,     net1_loss = 0.02992, net1_acc = 0.9960, net1_test_acc = 0.8279
Epoch: [ 80] [100/4000] time: 46819.2881, dice0 = 0.08319, cross0 = 0.0948, kl0 = 0.0128, exclusion0 = 0.0764,     dice1 = 0.01289, cross1 = 0.0095, kl1 = 0.0008, exclusion1 = 0.0143
1.3484558
Epoch: [ 80] [150/4000] time: 46826.6307, net0_loss = 0.16771, net0_acc = 0.9702, net0_test_acc = 0.9862,     net1_loss = 0.29018, net1_acc = 0.9510, net1_test_acc = 0.9702
Epoch: [ 80] [150/4000] time: 46826.6308, dice0 = 0.06359, cross0 = 0.0753, kl0 = 0.0081, exclusion0 = 0.0496,     dice1 = 0.10458, cross1 = 0.1397, kl1 = 0.0093, exclusion1 = 0.0824
1.1716506
Epoch: [ 80] [200/4000] time: 46834.0954, net0_loss = 0.22707, net0_acc = 0.9590, net0_test_acc = 0.9342,     net1_loss = 0.13347, net1_acc = 0.9783, net1_test_acc = 0.9440
Epoch: [ 80] [200/4000] time: 46834.0955, dice0 = 0.08334, cross0 = 0.1064, kl0 = 0.0114, exclusion0 = 0.0633,     dice1 = 0.05116, cross1 = 0.0537, kl1 = 0.0062, exclusion1 = 0.0510
1.1427203
Epoch: [ 80] [250/4000] time: 46841.4489, net0_loss = 0.24763, net0_acc = 0.9610, net0_test_acc = 0.9526,     net1_loss = 0.09788, net1_acc = 0.9848, net1_test_acc = 0.9766
Epoch: [ 80] [250/4000] time: 46841.4489, dice0 = 0.08375, cross0 = 0.1240, kl0 = 0.0142, exclusion0 = 0.0655,     dice1 = 0.03436, cross1 = 0.0519, kl1 = 0.0018, exclusion1 = 0.0214
1.2566907
Epoch: [ 80] [300/4000] time: 46848.8508, net0_loss = 0.13394, net0_acc = 0.9775, net0_test_acc = 0.9020,     net1_loss = 0.09174, net1_acc = 0.9849, net1_test_acc = 0.9736
Epoch: [ 80] [300/4000] time: 46848.8508, dice0 = 0.05001, cross0 = 0.0626, kl0 = 0.0050, exclusion0 = 0.0377,     dice1 = 0.03459, cross1 = 0.0435, kl1 = 0.0026, exclusion1 = 0.0247
1.2258776
Epoch: [ 80] [350/4000] time: 46856.2711, net0_loss = 0.12466, net0_acc = 0.9796, net0_test_acc = 0.9519,     net1_loss = 0.09761, net1_acc = 0.9840, net1_test_acc = 0.9377
Epoch: [ 80] [350/4000] time: 46856.2711, dice0 = 0.04737, cross0 = 0.0509, kl0 = 0.0056, exclusion0 = 0.0473,     dice1 = 0.03662, cross1 = 0.0442, kl1 = 0.0042, exclusion1 = 0.0294
1.090431
Epoch: [ 80] [400/4000] time: 46863.6566, net0_loss = 0.11109, net0_acc = 0.9818, net0_test_acc = 0.9560,     net1_loss = 0.07862, net1_acc = 0.9890, net1_test_acc = 0.9044
Epoch: [ 80] [400/4000] time: 46863.6567, dice0 = 0.04127, cross0 = 0.0458, kl0 = 0.0080, exclusion0 = 0.0399,     dice1 = 0.03047, cross1 = 0.0290, kl1 = 0.0054, exclusion1 = 0.0328
1.2963827
Epoch: [ 80] [450/4000] time: 46871.0114, net0_loss = 0.20574, net0_acc = 0.9662, net0_test_acc = 0.9737,     net1_loss = 0.14750, net1_acc = 0.9762, net1_test_acc = 0.9218
Epoch: [ 80] [450/4000] time: 46871.0114, dice0 = 0.07827, cross0 = 0.0816, kl0 = 0.0113, exclusion0 = 0.0803,     dice1 = 0.05562, cross1 = 0.0619, kl1 = 0.0074, exclusion1 = 0.0526
1.2097472
Epoch: [ 80] [500/4000] time: 46878.4576, net0_loss = 0.16580, net0_acc = 0.9745, net0_test_acc = 0.7671,     net1_loss = 0.09314, net1_acc = 0.9845, net1_test_acc = 0.9467
Epoch: [ 80] [500/4000] time: 46878.4576, dice0 = 0.06163, cross0 = 0.0624, kl0 = 0.0130, exclusion0 = 0.0706,     dice1 = 0.03525, cross1 = 0.0363, kl1 = 0.0078, exclusion1 = 0.0354
1.126438
Epoch: [ 80] [550/4000] time: 46885.8460, net0_loss = 0.11535, net0_acc = 0.9837, net0_test_acc = 0.8930,     net1_loss = 0.14384, net1_acc = 0.9757, net1_test_acc = 0.8181
Epoch: [ 80] [550/4000] time: 46885.8461, dice0 = 0.03778, cross0 = 0.0529, kl0 = 0.0094, exclusion0 = 0.0400,     dice1 = 0.05610, cross1 = 0.0546, kl1 = 0.0090, exclusion1 = 0.0573
1.0642658
Epoch: [ 80] [600/4000] time: 46893.2199, net0_loss = 0.09153, net0_acc = 0.9866, net0_test_acc = 0.8867,     net1_loss = 0.10581, net1_acc = 0.9838, net1_test_acc = 0.9617
Epoch: [ 80] [600/4000] time: 46893.2200, dice0 = 0.03614, cross0 = 0.0316, kl0 = 0.0049, exclusion0 = 0.0426,     dice1 = 0.04146, cross1 = 0.0418, kl1 = 0.0048, exclusion1 = 0.0403
1.0837258
Epoch: [ 80] [650/4000] time: 46900.6645, net0_loss = 0.09275, net0_acc = 0.9851, net0_test_acc = 0.9116,     net1_loss = 0.18638, net1_acc = 0.9678, net1_test_acc = 0.9783
Epoch: [ 80] [650/4000] time: 46900.6646, dice0 = 0.03564, cross0 = 0.0371, kl0 = 0.0051, exclusion0 = 0.0350,     dice1 = 0.07134, cross1 = 0.0888, kl1 = 0.0038, exclusion1 = 0.0487
1.2410018
Epoch: [ 80] [700/4000] time: 46908.0979, net0_loss = 0.11442, net0_acc = 0.9828, net0_test_acc = 0.9117,     net1_loss = 0.11960, net1_acc = 0.9798, net1_test_acc = 0.9290
Epoch: [ 80] [700/4000] time: 46908.0980, dice0 = 0.04417, cross0 = 0.0412, kl0 = 0.0075, exclusion0 = 0.0505,     dice1 = 0.04637, cross1 = 0.0490, kl1 = 0.0056, exclusion1 = 0.0429
1.0845125
Epoch: [ 80] [750/4000] time: 46915.5178, net0_loss = 0.20696, net0_acc = 0.9651, net0_test_acc = 0.9594,     net1_loss = 0.15417, net1_acc = 0.9766, net1_test_acc = 0.9218
Epoch: [ 80] [750/4000] time: 46915.5179, dice0 = 0.07509, cross0 = 0.0916, kl0 = 0.0127, exclusion0 = 0.0679,     dice1 = 0.05545, cross1 = 0.0554, kl1 = 0.0180, exclusion1 = 0.0686
1.0900245
Epoch: [ 80] [800/4000] time: 46922.8975, net0_loss = 0.11136, net0_acc = 0.9825, net0_test_acc = 0.7908,     net1_loss = 0.15685, net1_acc = 0.9737, net1_test_acc = 0.8204
Epoch: [ 80] [800/4000] time: 46922.8975, dice0 = 0.03941, cross0 = 0.0502, kl0 = 0.0072, exclusion0 = 0.0364,     dice1 = 0.05909, cross1 = 0.0648, kl1 = 0.0088, exclusion1 = 0.0572
1.2185053