Train iter: 0,  loss: 2.319147, tr_loss: 262583.687500, G_loss: 0.000075
Train iter: 100,  loss: 5.063102, tr_loss: 1253.418945, G_loss: 0.000056
Train iter: 200,  loss: 5.444296, tr_loss: 469.977600, G_loss: 0.000055
Train iter: 300,  loss: 5.107691, tr_loss: 464.009155, G_loss: 0.000053
Train iter: 400,  loss: 5.989263, tr_loss: 254.618835, G_loss: 0.000053
Epoch: 1, DC: 0.3176, err: 97.5200
Train iter: 0,  loss: 5.803999, tr_loss: 258.631592, G_loss: 0.000052
Train iter: 100,  loss: 5.896108, tr_loss: 176.736603, G_loss: 0.000052
Train iter: 200,  loss: 6.124056, tr_loss: 176.231018, G_loss: 0.000052
Train iter: 300,  loss: 6.435910, tr_loss: 101.989838, G_loss: 0.000051
Train iter: 400,  loss: 6.945188, tr_loss: 156.110077, G_loss: 0.000050
Epoch: 2, DC: 0.3838, err: 99.6000
Train iter: 0,  loss: 6.725719, tr_loss: 87.649460, G_loss: 0.000051
Train iter: 100,  loss: 6.372943, tr_loss: 105.380264, G_loss: 0.000051
Train iter: 200,  loss: 7.254266, tr_loss: 89.164085, G_loss: 0.000050
Train iter: 300,  loss: 6.669028, tr_loss: 72.425552, G_loss: 0.000050
Train iter: 400,  loss: 7.427376, tr_loss: 65.266975, G_loss: 0.000049
Epoch: 3, DC: 0.4180, err: 99.9300
Train iter: 0,  loss: 7.762510, tr_loss: 61.436840, G_loss: 0.000049
Train iter: 100,  loss: 7.538063, tr_loss: 70.292725, G_loss: 0.000048
Train iter: 200,  loss: 7.520101, tr_loss: 66.563354, G_loss: 0.000049
Train iter: 300,  loss: 7.669524, tr_loss: 63.110359, G_loss: 0.000048
Train iter: 400,  loss: 7.772969, tr_loss: 59.109131, G_loss: 0.000048
Epoch: 4, DC: 0.4328, err: 99.8700
Train iter: 0,  loss: 8.285001, tr_loss: 63.377907, G_loss: 0.000048
Train iter: 100,  loss: 8.262410, tr_loss: 45.000427, G_loss: 0.000048
Train iter: 200,  loss: 7.647566, tr_loss: 56.159821, G_loss: 0.000047
Train iter: 300,  loss: 8.159245, tr_loss: 52.655014, G_loss: 0.000047
Train iter: 400,  loss: 8.424364, tr_loss: 42.078789, G_loss: 0.000047
Epoch: 5, DC: 0.4529, err: 99.8900
Train iter: 0,  loss: 8.903101, tr_loss: 46.568420, G_loss: 0.000046
Train iter: 100,  loss: 7.899979, tr_loss: 44.359550, G_loss: 0.000046
Train iter: 200,  loss: 9.395417, tr_loss: 36.123325, G_loss: 0.000046
Train iter: 300,  loss: 8.953538, tr_loss: 45.058060, G_loss: 0.000045
Train iter: 400,  loss: 9.413237, tr_loss: 49.040802, G_loss: 0.000045
Epoch: 6, DC: 0.4598, err: 99.8200
Train iter: 0,  loss: 9.292905, tr_loss: 37.631660, G_loss: 0.000044
Train iter: 100,  loss: 10.305694, tr_loss: 36.429222, G_loss: 0.000045
Train iter: 200,  loss: 10.032686, tr_loss: 38.477242, G_loss: 0.000045
Train iter: 300,  loss: 9.689729, tr_loss: 30.036423, G_loss: 0.000044
Train iter: 400,  loss: 9.638042, tr_loss: 35.215977, G_loss: 0.000045
Epoch: 7, DC: 0.4635, err: 99.8400
Train iter: 0,  loss: 9.948058, tr_loss: 35.616539, G_loss: 0.000044
Train iter: 100,  loss: 10.127611, tr_loss: 34.117279, G_loss: 0.000044
Train iter: 200,  loss: 10.321790, tr_loss: 33.249973, G_loss: 0.000043
Train iter: 300,  loss: 9.771952, tr_loss: 29.644272, G_loss: 0.000044
Train iter: 400,  loss: 9.937017, tr_loss: 27.605419, G_loss: 0.000044
Epoch: 8, DC: 0.5168, err: 99.8900
Train iter: 0,  loss: 9.953847, tr_loss: 25.715450, G_loss: 0.000043
Train iter: 100,  loss: 10.353697, tr_loss: 28.144720, G_loss: 0.000042
Train iter: 200,  loss: 10.453274, tr_loss: 24.862835, G_loss: 0.000043
Train iter: 300,  loss: 10.188733, tr_loss: 23.286699, G_loss: 0.000043
Train iter: 400,  loss: 10.102370, tr_loss: 28.544106, G_loss: 0.000041
Epoch: 9, DC: 0.5751, err: 99.8500
Train iter: 0,  loss: 10.822684, tr_loss: 21.167553, G_loss: 0.000043
Train iter: 100,  loss: 11.335967, tr_loss: 19.638687, G_loss: 0.000042
Train iter: 200,  loss: 9.428372, tr_loss: 16.426313, G_loss: 0.000042
Train iter: 300,  loss: 10.554491, tr_loss: 16.976105, G_loss: 0.000041
Train iter: 400,  loss: 11.144144, tr_loss: 17.235765, G_loss: 0.000041
Epoch: 10, DC: 0.3203, err: 89.7200
Train iter: 0,  loss: 8.877913, tr_loss: 59.040108, G_loss: 0.000040
Train iter: 100,  loss: 9.596709, tr_loss: 38.305176, G_loss: 0.000041
Train iter: 200,  loss: 10.787584, tr_loss: 32.140713, G_loss: 0.000041
Train iter: 300,  loss: 11.338647, tr_loss: 25.233112, G_loss: 0.000041
Train iter: 400,  loss: 11.436725, tr_loss: 27.912895, G_loss: 0.000040
Epoch: 11, DC: 0.5776, err: 89.1900
Train iter: 0,  loss: 11.363686, tr_loss: 27.907032, G_loss: 0.000040
Train iter: 100,  loss: 11.875563, tr_loss: 25.941452, G_loss: 0.000040
Train iter: 200,  loss: 11.766638, tr_loss: 22.644348, G_loss: 0.000039
Train iter: 300,  loss: 12.160112, tr_loss: 19.273350, G_loss: 0.000039
Train iter: 400,  loss: 11.811114, tr_loss: 22.895432, G_loss: 0.000039
Epoch: 12, DC: 0.5904, err: 86.1700
Train iter: 0,  loss: 12.179496, tr_loss: 16.667965, G_loss: 0.000039
Train iter: 100,  loss: 10.831302, tr_loss: 17.186747, G_loss: 0.000040
Train iter: 200,  loss: 12.444835, tr_loss: 14.221634, G_loss: 0.000039
Train iter: 300,  loss: 12.307608, tr_loss: 17.773643, G_loss: 0.000038
Train iter: 400,  loss: 12.398731, tr_loss: 15.163639, G_loss: 0.000039
Epoch: 13, DC: 0.6073, err: 89.6800
Train iter: 0,  loss: 12.293579, tr_loss: 14.069420, G_loss: 0.000039
Train iter: 100,  loss: 11.463437, tr_loss: 18.662321, G_loss: 0.000039
Train iter: 200,  loss: 12.719234, tr_loss: 16.096745, G_loss: 0.000039
Train iter: 300,  loss: 11.919053, tr_loss: 14.849673, G_loss: 0.000039
Train iter: 400,  loss: 12.084323, tr_loss: 12.739567, G_loss: 0.000039
Epoch: 14, DC: 0.6211, err: 90.1200
Train iter: 0,  loss: 11.845513, tr_loss: 13.020594, G_loss: 0.000039
Train iter: 100,  loss: 12.129736, tr_loss: 13.547682, G_loss: 0.000040
Train iter: 200,  loss: 12.477886, tr_loss: 15.982738, G_loss: 0.000039
Train iter: 300,  loss: 11.688723, tr_loss: 15.289919, G_loss: 0.000039
Train iter: 400,  loss: 11.977426, tr_loss: 14.838807, G_loss: 0.000039
Epoch: 15, DC: 0.6182, err: 89.5800
Train iter: 0,  loss: 12.408775, tr_loss: 12.140273, G_loss: 0.000040
Train iter: 100,  loss: 12.806783, tr_loss: 9.991768, G_loss: 0.000039
Train iter: 200,  loss: 12.190760, tr_loss: 11.626925, G_loss: 0.000040
Train iter: 300,  loss: 12.306612, tr_loss: 13.104552, G_loss: 0.000040
Train iter: 400,  loss: 12.071670, tr_loss: 10.855942, G_loss: 0.000041
Epoch: 16, DC: 0.6371, err: 89.7000
Train iter: 0,  loss: 11.677758, tr_loss: 11.762642, G_loss: 0.000041
Train iter: 100,  loss: 11.841804, tr_loss: 12.543051, G_loss: 0.000040
Train iter: 200,  loss: 12.493654, tr_loss: 10.628674, G_loss: 0.000040
Train iter: 300,  loss: 12.112473, tr_loss: 11.582483, G_loss: 0.000040
Train iter: 400,  loss: 11.603159, tr_loss: 17.170061, G_loss: 0.000040
Epoch: 17, DC: 0.6394, err: 89.6600
Train iter: 0,  loss: 10.862755, tr_loss: 10.866987, G_loss: 0.000041
Train iter: 100,  loss: 12.008866, tr_loss: 8.795811, G_loss: 0.000041
Train iter: 200,  loss: 12.394794, tr_loss: 9.773490, G_loss: 0.000042
Train iter: 300,  loss: 11.885052, tr_loss: 11.648839, G_loss: 0.000041
Train iter: 400,  loss: 11.217529, tr_loss: 11.515772, G_loss: 0.000041
Epoch: 18, DC: 0.6402, err: 89.6700
Train iter: 0,  loss: 12.313894, tr_loss: 13.711897, G_loss: 0.000039
Train iter: 100,  loss: 12.064634, tr_loss: 10.825203, G_loss: 0.000040
Train iter: 200,  loss: 11.456887, tr_loss: 17.707615, G_loss: 0.000042
Train iter: 300,  loss: 12.148245, tr_loss: 11.890419, G_loss: 0.000040
Train iter: 400,  loss: 12.033537, tr_loss: 11.003219, G_loss: 0.000042
Epoch: 19, DC: 0.6300, err: 89.7200
Train iter: 0,  loss: 12.191548, tr_loss: 11.103974, G_loss: 0.000041
Train iter: 100,  loss: 11.557150, tr_loss: 10.962322, G_loss: 0.000042
Train iter: 200,  loss: 11.601534, tr_loss: 11.689663, G_loss: 0.000042
Train iter: 300,  loss: 11.432431, tr_loss: 15.574439, G_loss: 0.000042
Train iter: 400,  loss: 10.980607, tr_loss: 11.160395, G_loss: 0.000041
Epoch: 20, DC: 0.6494, err: 89.7200
Train iter: 0,  loss: 11.830606, tr_loss: 11.208420, G_loss: 0.000042
Train iter: 100,  loss: 11.507607, tr_loss: 10.187405, G_loss: 0.000041
Train iter: 200,  loss: 11.978855, tr_loss: 12.543310, G_loss: 0.000042
Train iter: 300,  loss: 10.648151, tr_loss: 13.649077, G_loss: 0.000042
Train iter: 400,  loss: 11.094633, tr_loss: 8.096237, G_loss: 0.000042
Epoch: 21, DC: 0.6459, err: 89.7300
Train iter: 0,  loss: 11.488128, tr_loss: 11.592337, G_loss: 0.000042
Train iter: 100,  loss: 10.529387, tr_loss: 10.176931, G_loss: 0.000043
Train iter: 200,  loss: 11.013547, tr_loss: 10.800457, G_loss: 0.000042
Train iter: 300,  loss: 10.830948, tr_loss: 9.390289, G_loss: 0.000042
Train iter: 400,  loss: 11.064959, tr_loss: 9.035374, G_loss: 0.000043
Epoch: 22, DC: 0.6546, err: 89.8600
Train iter: 0,  loss: 11.279011, tr_loss: 10.197826, G_loss: 0.000043
Train iter: 100,  loss: 10.262255, tr_loss: 8.240833, G_loss: 0.000044
Train iter: 200,  loss: 10.743466, tr_loss: 8.323789, G_loss: 0.000042
Train iter: 300,  loss: 10.736048, tr_loss: 14.518430, G_loss: 0.000043
Train iter: 400,  loss: 11.463043, tr_loss: 8.374365, G_loss: 0.000043
Epoch: 23, DC: 0.6610, err: 90.5500
Train iter: 0,  loss: 11.682015, tr_loss: 10.130285, G_loss: 0.000043
Train iter: 100,  loss: 12.131663, tr_loss: 13.297475, G_loss: 0.000043
Train iter: 200,  loss: 11.279290, tr_loss: 9.339697, G_loss: 0.000045
Train iter: 300,  loss: 11.068348, tr_loss: 8.937681, G_loss: 0.000043
Train iter: 400,  loss: 10.897103, tr_loss: 11.008664, G_loss: 0.000041
Epoch: 24, DC: 0.6744, err: 91.2800
Train iter: 0,  loss: 11.920211, tr_loss: 9.165226, G_loss: 0.000043
Train iter: 100,  loss: 11.130340, tr_loss: 11.477228, G_loss: 0.000043
Train iter: 200,  loss: 11.138654, tr_loss: 8.690533, G_loss: 0.000043
Train iter: 300,  loss: 10.511986, tr_loss: 9.661678, G_loss: 0.000045
Train iter: 400,  loss: 11.578514, tr_loss: 10.285730, G_loss: 0.000043
Epoch: 25, DC: 0.6688, err: 90.2800
Train iter: 0,  loss: 9.755585, tr_loss: 10.228750, G_loss: 0.000045
Train iter: 100,  loss: 9.991645, tr_loss: 8.952188, G_loss: 0.000043
Train iter: 200,  loss: 10.978239, tr_loss: 7.718746, G_loss: 0.000046
Train iter: 300,  loss: 10.416908, tr_loss: 8.886765, G_loss: 0.000045
Train iter: 400,  loss: 11.171723, tr_loss: 8.707066, G_loss: 0.000045
Epoch: 26, DC: 0.6747, err: 89.7100
Train iter: 0,  loss: 11.146566, tr_loss: 15.048393, G_loss: 0.000045
Train iter: 100,  loss: 10.846823, tr_loss: 9.572014, G_loss: 0.000045
Train iter: 200,  loss: 11.217939, tr_loss: 9.380200, G_loss: 0.000044
Train iter: 300,  loss: 11.294397, tr_loss: 8.464864, G_loss: 0.000046
Train iter: 400,  loss: 10.254328, tr_loss: 9.552919, G_loss: 0.000047
Epoch: 27, DC: 0.6799, err: 90.3000
Train iter: 0,  loss: 11.219693, tr_loss: 13.626105, G_loss: 0.000043
Train iter: 100,  loss: 10.737607, tr_loss: 8.277336, G_loss: 0.000045
Train iter: 200,  loss: 11.546899, tr_loss: 11.834111, G_loss: 0.000044
Train iter: 300,  loss: 10.993897, tr_loss: 11.848509, G_loss: 0.000047
Train iter: 400,  loss: 11.910299, tr_loss: 9.270358, G_loss: 0.000048
Epoch: 28, DC: 0.6791, err: 90.6600
Train iter: 0,  loss: 11.474566, tr_loss: 8.332094, G_loss: 0.000049
Train iter: 100,  loss: 11.400440, tr_loss: 10.785662, G_loss: 0.000044
Train iter: 200,  loss: 11.658405, tr_loss: 8.484568, G_loss: 0.000046
Train iter: 300,  loss: 11.835853, tr_loss: 9.281715, G_loss: 0.000044
Train iter: 400,  loss: 10.853240, tr_loss: 12.414040, G_loss: 0.000045
Epoch: 29, DC: 0.6790, err: 89.8200
Train iter: 0,  loss: 10.999972, tr_loss: 11.247789, G_loss: 0.000044
Train iter: 100,  loss: 11.301665, tr_loss: 7.906024, G_loss: 0.000045
Train iter: 200,  loss: 11.454871, tr_loss: 8.190661, G_loss: 0.000046
Train iter: 300,  loss: 12.852734, tr_loss: 9.077728, G_loss: 0.000044
Train iter: 400,  loss: 13.170175, tr_loss: 8.904478, G_loss: 0.000045
Epoch: 30, DC: 0.7048, err: 89.7300
Train iter: 0,  loss: 11.761635, tr_loss: 8.600158, G_loss: 0.000045
Train iter: 100,  loss: 12.987509, tr_loss: 9.703324, G_loss: 0.000044
Train iter: 200,  loss: 12.575226, tr_loss: 9.089045, G_loss: 0.000044
Train iter: 300,  loss: 12.505797, tr_loss: 10.255960, G_loss: 0.000045
Train iter: 400,  loss: 12.164958, tr_loss: 10.672599, G_loss: 0.000047
Epoch: 31, DC: 0.6986, err: 89.6800
Train iter: 0,  loss: 11.954908, tr_loss: 11.864410, G_loss: 0.000046
Train iter: 100,  loss: 12.754292, tr_loss: 14.233167, G_loss: 0.000045
Train iter: 200,  loss: 12.779905, tr_loss: 9.308018, G_loss: 0.000043
Train iter: 300,  loss: 12.554208, tr_loss: 13.056156, G_loss: 0.000044
Train iter: 400,  loss: 12.966578, tr_loss: 10.489023, G_loss: 0.000045
Epoch: 32, DC: 0.6992, err: 89.7000
Train iter: 0,  loss: 13.670107, tr_loss: 20.037659, G_loss: 0.000046
Train iter: 100,  loss: 13.314140, tr_loss: 8.422749, G_loss: 0.000047
Train iter: 200,  loss: 11.961594, tr_loss: 13.668073, G_loss: 0.000046
Train iter: 300,  loss: 12.715060, tr_loss: 11.273077, G_loss: 0.000048
Train iter: 400,  loss: 12.666821, tr_loss: 7.440586, G_loss: 0.000047
Epoch: 33, DC: 0.7051, err: 89.6000
Train iter: 0,  loss: 11.583403, tr_loss: 9.416723, G_loss: 0.000048
Train iter: 100,  loss: 13.589338, tr_loss: 10.239565, G_loss: 0.000046
Train iter: 200,  loss: 13.552633, tr_loss: 9.838646, G_loss: 0.000049
Train iter: 300,  loss: 13.426644, tr_loss: 9.977718, G_loss: 0.000045
Train iter: 400,  loss: 13.872473, tr_loss: 12.217632, G_loss: 0.000047
Epoch: 34, DC: 0.6876, err: 89.7600
Train iter: 0,  loss: 14.325580, tr_loss: 18.251175, G_loss: 0.000045
Train iter: 100,  loss: 13.357210, tr_loss: 13.620226, G_loss: 0.000050
Train iter: 200,  loss: 14.557865, tr_loss: 11.725828, G_loss: 0.000045
Train iter: 300,  loss: 13.180252, tr_loss: 8.964523, G_loss: 0.000047
Train iter: 400,  loss: 12.717652, tr_loss: 8.257730, G_loss: 0.000045
Epoch: 35, DC: 0.7142, err: 89.7300
Train iter: 0,  loss: 12.668432, tr_loss: 8.106588, G_loss: 0.000047
Train iter: 100,  loss: 12.310942, tr_loss: 7.314098, G_loss: 0.000049
Train iter: 200,  loss: 10.833753, tr_loss: 9.367870, G_loss: 0.000050
Train iter: 300,  loss: 11.980509, tr_loss: 16.930971, G_loss: 0.000048
Train iter: 400,  loss: 12.854066, tr_loss: 10.095772, G_loss: 0.000049
Epoch: 36, DC: 0.7123, err: 89.7400
Train iter: 0,  loss: 12.074140, tr_loss: 8.849134, G_loss: 0.000051
Train iter: 100,  loss: 12.257790, tr_loss: 7.629730, G_loss: 0.000048
Train iter: 200,  loss: 10.678914, tr_loss: 24.309143, G_loss: 0.000048
Train iter: 300,  loss: 11.573321, tr_loss: 7.825617, G_loss: 0.000050
Train iter: 400,  loss: 13.211463, tr_loss: 10.909497, G_loss: 0.000045
Epoch: 37, DC: 0.7105, err: 89.7800
Train iter: 0,  loss: 13.373209, tr_loss: 9.372971, G_loss: 0.000046
Train iter: 100,  loss: 12.715100, tr_loss: 7.084963, G_loss: 0.000050
Train iter: 200,  loss: 12.256183, tr_loss: 9.036922, G_loss: 0.000051
Train iter: 300,  loss: 13.570724, tr_loss: 8.011124, G_loss: 0.000049
Train iter: 400,  loss: 13.339307, tr_loss: 11.043088, G_loss: 0.000051
Epoch: 38, DC: 0.7283, err: 89.7200
Train iter: 0,  loss: 12.764874, tr_loss: 7.375140, G_loss: 0.000051
Train iter: 100,  loss: 12.151701, tr_loss: 7.216124, G_loss: 0.000051
Train iter: 200,  loss: 12.029761, tr_loss: 9.033195, G_loss: 0.000046
Train iter: 300,  loss: 12.847899, tr_loss: 13.682452, G_loss: 0.000048
Train iter: 400,  loss: 13.436090, tr_loss: 13.710038, G_loss: 0.000046
Epoch: 39, DC: 0.7219, err: 89.7100
Train iter: 0,  loss: 14.306341, tr_loss: 8.392619, G_loss: 0.000046
Train iter: 100,  loss: 14.329717, tr_loss: 10.912390, G_loss: 0.000045
Train iter: 200,  loss: 12.714634, tr_loss: 7.533344, G_loss: 0.000046
Train iter: 300,  loss: 12.957018, tr_loss: 8.745911, G_loss: 0.000048
Train iter: 400,  loss: 12.996099, tr_loss: 9.800559, G_loss: 0.000051
Epoch: 40, DC: 0.7310, err: 89.7700
Train iter: 0,  loss: 11.473736, tr_loss: 9.755191, G_loss: 0.000052
Train iter: 100,  loss: 12.716451, tr_loss: 8.456080, G_loss: 0.000052
Train iter: 200,  loss: 12.994346, tr_loss: 12.855596, G_loss: 0.000051
Train iter: 300,  loss: 12.735690, tr_loss: 7.321930, G_loss: 0.000051
Train iter: 400,  loss: 11.880820, tr_loss: 7.465417, G_loss: 0.000051
Epoch: 41, DC: 0.7254, err: 89.7200
Train iter: 0,  loss: 13.323774, tr_loss: 6.871831, G_loss: 0.000050
Train iter: 100,  loss: 11.181049, tr_loss: 10.431454, G_loss: 0.000048
Train iter: 200,  loss: 12.242905, tr_loss: 9.534998, G_loss: 0.000052
Train iter: 300,  loss: 12.852370, tr_loss: 8.754876, G_loss: 0.000050
Train iter: 400,  loss: 10.355341, tr_loss: 9.353883, G_loss: 0.000051
Epoch: 42, DC: 0.7259, err: 89.7600
Train iter: 0,  loss: 12.089724, tr_loss: 8.489410, G_loss: 0.000051
Train iter: 100,  loss: 11.326500, tr_loss: 7.088120, G_loss: 0.000053
Train iter: 200,  loss: 12.067179, tr_loss: 9.266911, G_loss: 0.000051
Train iter: 300,  loss: 12.477636, tr_loss: 8.929845, G_loss: 0.000050
Train iter: 400,  loss: 11.534993, tr_loss: 11.024192, G_loss: 0.000053
Epoch: 43, DC: 0.7222, err: 89.7000
Train iter: 0,  loss: 13.260520, tr_loss: 9.255224, G_loss: 0.000050
Train iter: 100,  loss: 12.488095, tr_loss: 10.224394, G_loss: 0.000049
Train iter: 200,  loss: 11.551945, tr_loss: 8.629910, G_loss: 0.000051
Train iter: 300,  loss: 12.756613, tr_loss: 15.914823, G_loss: 0.000050
Train iter: 400,  loss: 11.902929, tr_loss: 9.708405, G_loss: 0.000049
Epoch: 44, DC: 0.7039, err: 89.6800
Train iter: 0,  loss: 14.277759, tr_loss: 9.310342, G_loss: 0.000044
Train iter: 100,  loss: 14.198793, tr_loss: 10.094189, G_loss: 0.000048
Train iter: 200,  loss: 13.695337, tr_loss: 8.472012, G_loss: 0.000050
Train iter: 300,  loss: 12.231577, tr_loss: 8.754358, G_loss: 0.000052
Train iter: 400,  loss: 12.187972, tr_loss: 9.091470, G_loss: 0.000054
Epoch: 45, DC: 0.7204, err: 89.7300
Train iter: 0,  loss: 13.089077, tr_loss: 19.818695, G_loss: 0.000053
Train iter: 100,  loss: 12.980557, tr_loss: 9.766568, G_loss: 0.000048
Train iter: 200,  loss: 13.140985, tr_loss: 11.448242, G_loss: 0.000052
Train iter: 300,  loss: 13.867459, tr_loss: 10.034576, G_loss: 0.000050
Train iter: 400,  loss: 13.071053, tr_loss: 8.118026, G_loss: 0.000052
Epoch: 46, DC: 0.7285, err: 89.8000
Train iter: 0,  loss: 13.176230, tr_loss: 10.975825, G_loss: 0.000048
Train iter: 100,  loss: 12.932246, tr_loss: 8.924570, G_loss: 0.000046
Train iter: 200,  loss: 12.342024, tr_loss: 7.489584, G_loss: 0.000049
Train iter: 300,  loss: 11.263954, tr_loss: 8.070816, G_loss: 0.000051
Train iter: 400,  loss: 11.635143, tr_loss: 9.408993, G_loss: 0.000048
Epoch: 47, DC: 0.7305, err: 89.6900
Train iter: 0,  loss: 12.340546, tr_loss: 7.018417, G_loss: 0.000052
Train iter: 100,  loss: 11.985334, tr_loss: 7.017789, G_loss: 0.000050
Train iter: 200,  loss: 11.894727, tr_loss: 6.677891, G_loss: 0.000051
Train iter: 300,  loss: 11.531155, tr_loss: 7.774611, G_loss: 0.000050
Train iter: 400,  loss: 12.013256, tr_loss: 9.545253, G_loss: 0.000048
Epoch: 48, DC: 0.7350, err: 89.7600
Train iter: 0,  loss: 13.280181, tr_loss: 8.841218, G_loss: 0.000050
Train iter: 100,  loss: 12.095183, tr_loss: 6.906741, G_loss: 0.000051
Train iter: 200,  loss: 12.132416, tr_loss: 7.956707, G_loss: 0.000052
Train iter: 300,  loss: 12.600510, tr_loss: 7.085995, G_loss: 0.000052
Train iter: 400,  loss: 13.010569, tr_loss: 7.861259, G_loss: 0.000049
Epoch: 49, DC: 0.7253, err: 89.7300
Train iter: 0,  loss: 12.799212, tr_loss: 8.788694, G_loss: 0.000052
Train iter: 100,  loss: 13.881148, tr_loss: 11.522337, G_loss: 0.000052
Train iter: 200,  loss: 12.756176, tr_loss: 6.760215, G_loss: 0.000053
Train iter: 300,  loss: 11.611509, tr_loss: 11.590746, G_loss: 0.000052
Train iter: 400,  loss: 11.598398, tr_loss: 9.767387, G_loss: 0.000052
Epoch: 50, DC: 0.7257, err: 89.7200
Train iter: 0,  loss: 12.792182, tr_loss: 8.706167, G_loss: 0.000053
Train iter: 100,  loss: 13.104000, tr_loss: 8.338644, G_loss: 0.000052
Train iter: 200,  loss: 12.311239, tr_loss: 6.977469, G_loss: 0.000053
Train iter: 300,  loss: 14.219433, tr_loss: 10.749977, G_loss: 0.000049
Train iter: 400,  loss: 14.302059, tr_loss: 7.415062, G_loss: 0.000051
Epoch: 51, DC: 0.7208, err: 89.7300
Train iter: 0,  loss: 14.257000, tr_loss: 7.219301, G_loss: 0.000052
Train iter: 100,  loss: 13.421654, tr_loss: 7.325747, G_loss: 0.000052
Train iter: 200,  loss: 14.695914, tr_loss: 7.771003, G_loss: 0.000052
Train iter: 300,  loss: 12.946130, tr_loss: 9.007703, G_loss: 0.000053
Train iter: 400,  loss: 13.236937, tr_loss: 9.804415, G_loss: 0.000052
Epoch: 52, DC: 0.7222, err: 89.7400
Train iter: 0,  loss: 14.100239, tr_loss: 6.929513, G_loss: 0.000052
Train iter: 100,  loss: 12.645381, tr_loss: 7.022618, G_loss: 0.000055
Train iter: 200,  loss: 12.488482, tr_loss: 9.080907, G_loss: 0.000053
Train iter: 300,  loss: 12.957269, tr_loss: 6.984792, G_loss: 0.000054
Train iter: 400,  loss: 13.539772, tr_loss: 8.824697, G_loss: 0.000052
Epoch: 53, DC: 0.7259, err: 89.7500
Train iter: 0,  loss: 13.351270, tr_loss: 6.620052, G_loss: 0.000052
Train iter: 100,  loss: 12.631266, tr_loss: 9.590722, G_loss: 0.000052
Train iter: 200,  loss: 12.712991, tr_loss: 9.451655, G_loss: 0.000050
Train iter: 300,  loss: 12.386687, tr_loss: 7.160817, G_loss: 0.000052
Train iter: 400,  loss: 12.930244, tr_loss: 6.826922, G_loss: 0.000054
Epoch: 54, DC: 0.7139, err: 89.7100
Train iter: 0,  loss: 13.082977, tr_loss: 8.995363, G_loss: 0.000053
Train iter: 100,  loss: 12.711936, tr_loss: 8.483698, G_loss: 0.000048
Train iter: 200,  loss: 13.211205, tr_loss: 11.352941, G_loss: 0.000043
Train iter: 300,  loss: 13.621919, tr_loss: 7.391463, G_loss: 0.000049
Train iter: 400,  loss: 13.061573, tr_loss: 12.813454, G_loss: 0.000048
Epoch: 55, DC: 0.7239, err: 89.7400
Train iter: 0,  loss: 13.047133, tr_loss: 10.904467, G_loss: 0.000050
Train iter: 100,  loss: 12.950126, tr_loss: 6.715857, G_loss: 0.000052
Train iter: 200,  loss: 12.080864, tr_loss: 7.204268, G_loss: 0.000050
Train iter: 300,  loss: 13.536597, tr_loss: 7.817200, G_loss: 0.000052
Train iter: 400,  loss: 12.975217, tr_loss: 6.361343, G_loss: 0.000052
Epoch: 56, DC: 0.7096, err: 89.5400
Train iter: 0,  loss: 14.279118, tr_loss: 8.560079, G_loss: 0.000052
Train iter: 100,  loss: 13.237531, tr_loss: 7.546826, G_loss: 0.000054
Train iter: 200,  loss: 12.082777, tr_loss: 7.830684, G_loss: 0.000052
Train iter: 300,  loss: 12.149280, tr_loss: 11.258903, G_loss: 0.000052
Train iter: 400,  loss: 13.656708, tr_loss: 7.224032, G_loss: 0.000054
Epoch: 57, DC: 0.7029, err: 89.6800
Train iter: 0,  loss: 13.081386, tr_loss: 7.538334, G_loss: 0.000053
Train iter: 100,  loss: 11.823641, tr_loss: 8.080988, G_loss: 0.000053
Train iter: 200,  loss: 12.428885, tr_loss: 6.855656, G_loss: 0.000053
Train iter: 300,  loss: 14.132812, tr_loss: 7.888360, G_loss: 0.000058
Train iter: 400,  loss: 13.427916, tr_loss: 7.286104, G_loss: 0.000058
Epoch: 58, DC: 0.7193, err: 89.7000
Train iter: 0,  loss: 13.424750, tr_loss: 6.751062, G_loss: 0.000057
Train iter: 100,  loss: 13.647450, tr_loss: 7.190062, G_loss: 0.000056
Train iter: 200,  loss: 12.960321, tr_loss: 7.644600, G_loss: 0.000056
Train iter: 300,  loss: 12.336699, tr_loss: 8.667801, G_loss: 0.000057
Train iter: 400,  loss: 12.453395, tr_loss: 7.240949, G_loss: 0.000057
Epoch: 59, DC: 0.7201, err: 89.6800
Train iter: 0,  loss: 14.467090, tr_loss: 7.179277, G_loss: 0.000056
Train iter: 100,  loss: 12.741473, tr_loss: 6.539392, G_loss: 0.000056
Train iter: 200,  loss: 14.666390, tr_loss: 7.265203, G_loss: 0.000054
Train iter: 300,  loss: 12.284628, tr_loss: 6.800809, G_loss: 0.000057
Train iter: 400,  loss: 11.715617, tr_loss: 11.524504, G_loss: 0.000056
Epoch: 60, DC: 0.7080, err: 89.7200
Train iter: 0,  loss: 13.059007, tr_loss: 7.724086, G_loss: 0.000055
Train iter: 100,  loss: 11.970490, tr_loss: 6.531521, G_loss: 0.000057
Train iter: 200,  loss: 12.812708, tr_loss: 7.437168, G_loss: 0.000057
Train iter: 300,  loss: 14.172640, tr_loss: 8.531115, G_loss: 0.000054
Train iter: 400,  loss: 12.203976, tr_loss: 9.471853, G_loss: 0.000053
Epoch: 61, DC: 0.7323, err: 89.7200
Train iter: 0,  loss: 12.924842, tr_loss: 9.827454, G_loss: 0.000055
Train iter: 100,  loss: 12.257165, tr_loss: 13.388098, G_loss: 0.000056
Train iter: 200,  loss: 13.756753, tr_loss: 7.113885, G_loss: 0.000056
Train iter: 300,  loss: 12.283854, tr_loss: 6.988084, G_loss: 0.000055
Train iter: 400,  loss: 13.063090, tr_loss: 6.761250, G_loss: 0.000055
Epoch: 62, DC: 0.7285, err: 89.7000
Train iter: 0,  loss: 14.040876, tr_loss: 8.414034, G_loss: 0.000054
Train iter: 100,  loss: 13.183509, tr_loss: 7.826793, G_loss: 0.000054
Train iter: 200,  loss: 13.241437, tr_loss: 8.031837, G_loss: 0.000055
Train iter: 300,  loss: 12.323079, tr_loss: 10.733904, G_loss: 0.000054
Train iter: 400,  loss: 13.100821, tr_loss: 8.199921, G_loss: 0.000055
Epoch: 63, DC: 0.7276, err: 89.6800
Train iter: 0,  loss: 11.782433, tr_loss: 8.600245, G_loss: 0.000055
Train iter: 100,  loss: 12.690156, tr_loss: 7.067954, G_loss: 0.000055
Train iter: 200,  loss: 13.399128, tr_loss: 7.914605, G_loss: 0.000055
Train iter: 300,  loss: 12.852423, tr_loss: 8.120324, G_loss: 0.000053
Train iter: 400,  loss: 13.125741, tr_loss: 9.663853, G_loss: 0.000054
Epoch: 64, DC: 0.7265, err: 89.7400
Train iter: 0,  loss: 12.920392, tr_loss: 10.333703, G_loss: 0.000054
Train iter: 100,  loss: 13.284161, tr_loss: 10.094888, G_loss: 0.000054
Train iter: 200,  loss: 13.584833, tr_loss: 8.188299, G_loss: 0.000054
Train iter: 300,  loss: 13.273390, tr_loss: 6.979547, G_loss: 0.000056
Train iter: 400,  loss: 12.421619, tr_loss: 7.302550, G_loss: 0.000056
Epoch: 65, DC: 0.7283, err: 89.6500
Train iter: 0,  loss: 12.556890, tr_loss: 7.277634, G_loss: 0.000056
Train iter: 100,  loss: 13.179386, tr_loss: 7.470260, G_loss: 0.000055
Train iter: 200,  loss: 12.999567, tr_loss: 7.528525, G_loss: 0.000056
Train iter: 300,  loss: 11.725939, tr_loss: 6.427840, G_loss: 0.000057
Train iter: 400,  loss: 12.524669, tr_loss: 6.855837, G_loss: 0.000056
Epoch: 66, DC: 0.7266, err: 89.6000
Train iter: 0,  loss: 12.281724, tr_loss: 5.963532, G_loss: 0.000056
Train iter: 100,  loss: 11.576722, tr_loss: 6.068965, G_loss: 0.000056
Train iter: 200,  loss: 11.864232, tr_loss: 6.464626, G_loss: 0.000054
Train iter: 300,  loss: 12.077472, tr_loss: 6.575686, G_loss: 0.000057
Train iter: 400,  loss: 14.083645, tr_loss: 6.625392, G_loss: 0.000055
Epoch: 67, DC: 0.7300, err: 89.5300
Train iter: 0,  loss: 12.570639, tr_loss: 6.730392, G_loss: 0.000056
Train iter: 100,  loss: 12.609028, tr_loss: 9.100426, G_loss: 0.000056
Train iter: 200,  loss: 12.985126, tr_loss: 6.843505, G_loss: 0.000055
Train iter: 300,  loss: 13.252483, tr_loss: 8.183674, G_loss: 0.000056
Train iter: 400,  loss: 12.671413, tr_loss: 7.433888, G_loss: 0.000057
Epoch: 68, DC: 0.7222, err: 89.7400
Train iter: 0,  loss: 14.281230, tr_loss: 8.176883, G_loss: 0.000054
Train iter: 100,  loss: 13.711110, tr_loss: 7.563163, G_loss: 0.000057
Train iter: 200,  loss: 13.336206, tr_loss: 8.630334, G_loss: 0.000056
Train iter: 300,  loss: 15.168913, tr_loss: 8.000448, G_loss: 0.000058
Train iter: 400,  loss: 13.779030, tr_loss: 7.634520, G_loss: 0.000059
Epoch: 69, DC: 0.7233, err: 89.7200
Train iter: 0,  loss: 14.538177, tr_loss: 7.215921, G_loss: 0.000056
Train iter: 100,  loss: 13.519441, tr_loss: 9.725758, G_loss: 0.000058
Train iter: 200,  loss: 13.425589, tr_loss: 6.815998, G_loss: 0.000057
Train iter: 300,  loss: 14.505266, tr_loss: 9.250200, G_loss: 0.000057
Train iter: 400,  loss: 13.657145, tr_loss: 8.092844, G_loss: 0.000058
Epoch: 70, DC: 0.7273, err: 89.7100
Train iter: 0,  loss: 13.535069, tr_loss: 6.643816, G_loss: 0.000057
Train iter: 100,  loss: 14.431381, tr_loss: 6.388602, G_loss: 0.000055
Train iter: 200,  loss: 13.048967, tr_loss: 6.475006, G_loss: 0.000058
Train iter: 300,  loss: 15.185466, tr_loss: 8.001806, G_loss: 0.000056
Train iter: 400,  loss: 13.163774, tr_loss: 7.416644, G_loss: 0.000057
Epoch: 71, DC: 0.7209, err: 89.5000
Train iter: 0,  loss: 14.644753, tr_loss: 7.078164, G_loss: 0.000055
Train iter: 100,  loss: 13.880724, tr_loss: 7.022371, G_loss: 0.000055
Train iter: 200,  loss: 14.562776, tr_loss: 7.349067, G_loss: 0.000056
Train iter: 300,  loss: 12.183697, tr_loss: 8.504135, G_loss: 0.000057
Train iter: 400,  loss: 13.733166, tr_loss: 8.443589, G_loss: 0.000057
Epoch: 72, DC: 0.7280, err: 89.7200
Train iter: 0,  loss: 13.544606, tr_loss: 7.044558, G_loss: 0.000059
Train iter: 100,  loss: 14.068896, tr_loss: 8.803842, G_loss: 0.000055
Train iter: 200,  loss: 12.710410, tr_loss: 6.692399, G_loss: 0.000057
Train iter: 300,  loss: 13.452939, tr_loss: 7.423263, G_loss: 0.000057
Train iter: 400,  loss: 13.983879, tr_loss: 6.704349, G_loss: 0.000057
Epoch: 73, DC: 0.7285, err: 89.7000
Train iter: 0,  loss: 13.285921, tr_loss: 8.446320, G_loss: 0.000058
Train iter: 100,  loss: 14.505367, tr_loss: 8.031657, G_loss: 0.000058
Train iter: 200,  loss: 13.568871, tr_loss: 6.641304, G_loss: 0.000060
Train iter: 300,  loss: 12.782552, tr_loss: 5.693433, G_loss: 0.000059
Train iter: 400,  loss: 13.425494, tr_loss: 8.555547, G_loss: 0.000057
Epoch: 74, DC: 0.7161, err: 89.6500
Train iter: 0,  loss: 12.507356, tr_loss: 9.876921, G_loss: 0.000057
Train iter: 100,  loss: 14.160136, tr_loss: 7.154779, G_loss: 0.000052
Train iter: 200,  loss: 12.204682, tr_loss: 6.727509, G_loss: 0.000056
Train iter: 300,  loss: 12.589959, tr_loss: 6.517037, G_loss: 0.000058
Train iter: 400,  loss: 14.609231, tr_loss: 6.800438, G_loss: 0.000058
Epoch: 75, DC: 0.7284, err: 89.6500
Train iter: 0,  loss: 14.098551, tr_loss: 8.336736, G_loss: 0.000057
Train iter: 100,  loss: 13.652281, tr_loss: 6.407111, G_loss: 0.000059
Train iter: 200,  loss: 12.096311, tr_loss: 9.577893, G_loss: 0.000058
Train iter: 300,  loss: 12.713619, tr_loss: 6.603960, G_loss: 0.000059
Train iter: 400,  loss: 12.379659, tr_loss: 8.462745, G_loss: 0.000056
Epoch: 76, DC: 0.7237, err: 89.7100
Train iter: 0,  loss: 13.638535, tr_loss: 8.617189, G_loss: 0.000058
Train iter: 100,  loss: 12.892499, tr_loss: 11.722979, G_loss: 0.000058
Train iter: 200,  loss: 14.024587, tr_loss: 7.842313, G_loss: 0.000058
Train iter: 300,  loss: 13.881869, tr_loss: 6.696564, G_loss: 0.000059
Train iter: 400,  loss: 12.957201, tr_loss: 8.163420, G_loss: 0.000059
Epoch: 77, DC: 0.7244, err: 89.7200
Train iter: 0,  loss: 13.832867, tr_loss: 5.772440, G_loss: 0.000057
Train iter: 100,  loss: 14.401186, tr_loss: 7.561474, G_loss: 0.000057
Train iter: 200,  loss: 13.866519, tr_loss: 6.179100, G_loss: 0.000058
Train iter: 300,  loss: 14.506329, tr_loss: 6.209951, G_loss: 0.000058
Train iter: 400,  loss: 13.671645, tr_loss: 7.066000, G_loss: 0.000058
Epoch: 78, DC: 0.7206, err: 89.6800
Train iter: 0,  loss: 13.865048, tr_loss: 6.596462, G_loss: 0.000057
Train iter: 100,  loss: 13.085557, tr_loss: 8.730884, G_loss: 0.000057
Train iter: 200,  loss: 13.538153, tr_loss: 7.316830, G_loss: 0.000059
Train iter: 300,  loss: 13.449041, tr_loss: 6.934617, G_loss: 0.000059
Train iter: 400,  loss: 13.480689, tr_loss: 6.702525, G_loss: 0.000058
Epoch: 79, DC: 0.7254, err: 89.7300
Train iter: 0,  loss: 14.161817, tr_loss: 7.571167, G_loss: 0.000058
Train iter: 100,  loss: 13.480330, tr_loss: 6.462862, G_loss: 0.000059
Train iter: 200,  loss: 13.078547, tr_loss: 7.598239, G_loss: 0.000059
Train iter: 300,  loss: 13.424932, tr_loss: 6.449590, G_loss: 0.000056
Train iter: 400,  loss: 13.466737, tr_loss: 6.035951, G_loss: 0.000060
Epoch: 80, DC: 0.7224, err: 89.7000
Train iter: 0,  loss: 13.836204, tr_loss: 9.015818, G_loss: 0.000058
Train iter: 100,  loss: 13.208360, tr_loss: 9.513103, G_loss: 0.000059
Train iter: 200,  loss: 14.302636, tr_loss: 7.229314, G_loss: 0.000056
Train iter: 300,  loss: 12.902149, tr_loss: 17.747643, G_loss: 0.000059
Train iter: 400,  loss: 13.245452, tr_loss: 7.225895, G_loss: 0.000058
Epoch: 81, DC: 0.7229, err: 89.7200
Train iter: 0,  loss: 14.021193, tr_loss: 12.927650, G_loss: 0.000058
Train iter: 100,  loss: 12.982953, tr_loss: 7.430633, G_loss: 0.000056
Train iter: 200,  loss: 14.002029, tr_loss: 12.263230, G_loss: 0.000056
Train iter: 300,  loss: 15.825873, tr_loss: 6.828063, G_loss: 0.000055
Train iter: 400,  loss: 13.822215, tr_loss: 9.367403, G_loss: 0.000058
Epoch: 82, DC: 0.7276, err: 89.7500
Train iter: 0,  loss: 14.394624, tr_loss: 7.384367, G_loss: 0.000058
Train iter: 100,  loss: 11.344812, tr_loss: 6.584208, G_loss: 0.000060
Train iter: 200,  loss: 11.709973, tr_loss: 7.575175, G_loss: 0.000058
Train iter: 300,  loss: 15.249207, tr_loss: 7.971162, G_loss: 0.000056
Train iter: 400,  loss: 12.512625, tr_loss: 6.637554, G_loss: 0.000060
Epoch: 83, DC: 0.7141, err: 89.8500
Train iter: 0,  loss: 14.756230, tr_loss: 6.648930, G_loss: 0.000057
Train iter: 100,  loss: 14.288450, tr_loss: 7.839251, G_loss: 0.000057
Train iter: 200,  loss: 12.544420, tr_loss: 7.408546, G_loss: 0.000058
Train iter: 300,  loss: 13.704503, tr_loss: 6.598209, G_loss: 0.000058
Train iter: 400,  loss: 13.891829, tr_loss: 6.786462, G_loss: 0.000060
Epoch: 84, DC: 0.7230, err: 89.6600
Train iter: 0,  loss: 13.565611, tr_loss: 7.115255, G_loss: 0.000057
Train iter: 100,  loss: 12.256546, tr_loss: 6.298032, G_loss: 0.000059
Train iter: 200,  loss: 13.339613, tr_loss: 6.417899, G_loss: 0.000059
Train iter: 300,  loss: 14.501738, tr_loss: 6.227959, G_loss: 0.000058
Train iter: 400,  loss: 13.729263, tr_loss: 6.299169, G_loss: 0.000058
Epoch: 85, DC: 0.7228, err: 89.7200
Train iter: 0,  loss: 13.171425, tr_loss: 8.548508, G_loss: 0.000058
Train iter: 100,  loss: 13.576530, tr_loss: 7.607849, G_loss: 0.000059
Train iter: 200,  loss: 13.047693, tr_loss: 7.423205, G_loss: 0.000059
Train iter: 300,  loss: 13.693028, tr_loss: 7.583012, G_loss: 0.000059
Train iter: 400,  loss: 13.582972, tr_loss: 7.070749, G_loss: 0.000059
Epoch: 86, DC: 0.7236, err: 89.7200
Train iter: 0,  loss: 13.128269, tr_loss: 7.027764, G_loss: 0.000059
Train iter: 100,  loss: 13.595068, tr_loss: 7.162775, G_loss: 0.000058
Train iter: 200,  loss: 13.162397, tr_loss: 5.686417, G_loss: 0.000059
Train iter: 300,  loss: 13.510070, tr_loss: 6.780715, G_loss: 0.000059
Train iter: 400,  loss: 14.644073, tr_loss: 8.616861, G_loss: 0.000060
Epoch: 87, DC: 0.7245, err: 89.7000
Train iter: 0,  loss: 13.659551, tr_loss: 10.743307, G_loss: 0.000058
Train iter: 100,  loss: 12.544302, tr_loss: 5.768485, G_loss: 0.000060
Train iter: 200,  loss: 12.710315, tr_loss: 8.152534, G_loss: 0.000059
Train iter: 300,  loss: 14.183694, tr_loss: 7.443343, G_loss: 0.000057
Train iter: 400,  loss: 12.305470, tr_loss: 6.060119, G_loss: 0.000059
Epoch: 88, DC: 0.7242, err: 89.7500
Train iter: 0,  loss: 13.834238, tr_loss: 10.956765, G_loss: 0.000055
Train iter: 100,  loss: 13.348575, tr_loss: 9.930833, G_loss: 0.000060
Train iter: 200,  loss: 13.580677, tr_loss: 11.173594, G_loss: 0.000059
Train iter: 300,  loss: 13.760839, tr_loss: 8.495882, G_loss: 0.000060
Train iter: 400,  loss: 13.389004, tr_loss: 14.863190, G_loss: 0.000056
Epoch: 89, DC: 0.7239, err: 89.7000
Train iter: 0,  loss: 13.592985, tr_loss: 7.019409, G_loss: 0.000057
Train iter: 100,  loss: 12.934893, tr_loss: 6.879743, G_loss: 0.000057
Train iter: 200,  loss: 13.903449, tr_loss: 7.095559, G_loss: 0.000059
Train iter: 300,  loss: 13.028091, tr_loss: 5.852409, G_loss: 0.000061
Train iter: 400,  loss: 13.619677, tr_loss: 6.409164, G_loss: 0.000059
Epoch: 90, DC: 0.7273, err: 89.7100
Train iter: 0,  loss: 14.349590, tr_loss: 7.119438, G_loss: 0.000061
Train iter: 100,  loss: 14.396173, tr_loss: 7.782616, G_loss: 0.000059
Train iter: 200,  loss: 13.485850, tr_loss: 6.351966, G_loss: 0.000060
Train iter: 300,  loss: 12.947752, tr_loss: 5.996318, G_loss: 0.000061
Train iter: 400,  loss: 14.155993, tr_loss: 7.601707, G_loss: 0.000060
Epoch: 91, DC: 0.7210, err: 89.7100
Train iter: 0,  loss: 14.912977, tr_loss: 7.349837, G_loss: 0.000059
Train iter: 100,  loss: 13.172510, tr_loss: 6.484156, G_loss: 0.000060
Train iter: 200,  loss: 11.141925, tr_loss: 6.323830, G_loss: 0.000059
Train iter: 300,  loss: 13.797216, tr_loss: 9.633295, G_loss: 0.000059
Train iter: 400,  loss: 13.368664, tr_loss: 7.157125, G_loss: 0.000059
Epoch: 92, DC: 0.7175, err: 89.7200
Train iter: 0,  loss: 11.980376, tr_loss: 6.277887, G_loss: 0.000062
Train iter: 100,  loss: 13.371423, tr_loss: 7.649494, G_loss: 0.000058
Train iter: 200,  loss: 12.970139, tr_loss: 6.597423, G_loss: 0.000062
Train iter: 300,  loss: 11.852298, tr_loss: 7.428362, G_loss: 0.000059
Train iter: 400,  loss: 13.136615, tr_loss: 5.683825, G_loss: 0.000057
Epoch: 93, DC: 0.7189, err: 89.7500
Train iter: 0,  loss: 13.015892, tr_loss: 6.057999, G_loss: 0.000059
Train iter: 100,  loss: 13.851710, tr_loss: 6.341647, G_loss: 0.000059
Train iter: 200,  loss: 14.361834, tr_loss: 5.747336, G_loss: 0.000059
Train iter: 300,  loss: 11.847192, tr_loss: 6.751541, G_loss: 0.000061
Train iter: 400,  loss: 12.784823, tr_loss: 20.105444, G_loss: 0.000060
Epoch: 94, DC: 0.7202, err: 89.5800
Train iter: 0,  loss: 14.125890, tr_loss: 6.778028, G_loss: 0.000057
Train iter: 100,  loss: 12.657123, tr_loss: 8.352508, G_loss: 0.000060
Train iter: 200,  loss: 14.362058, tr_loss: 8.025755, G_loss: 0.000058
Train iter: 300,  loss: 13.118072, tr_loss: 6.768008, G_loss: 0.000059
Train iter: 400,  loss: 13.157187, tr_loss: 6.415940, G_loss: 0.000061
Epoch: 95, DC: 0.7169, err: 89.7100
Train iter: 0,  loss: 13.501530, tr_loss: 10.756617, G_loss: 0.000059
Train iter: 100,  loss: 13.505802, tr_loss: 6.003720, G_loss: 0.000061
Train iter: 200,  loss: 13.481583, tr_loss: 7.010697, G_loss: 0.000060
Train iter: 300,  loss: 13.950560, tr_loss: 6.912121, G_loss: 0.000059
Train iter: 400,  loss: 11.807813, tr_loss: 6.572343, G_loss: 0.000058
Epoch: 96, DC: 0.7202, err: 89.7000
Train iter: 0,  loss: 13.097239, tr_loss: 6.760835, G_loss: 0.000061
Train iter: 100,  loss: 13.591990, tr_loss: 6.341025, G_loss: 0.000060
Train iter: 200,  loss: 13.032504, tr_loss: 7.294469, G_loss: 0.000061
Train iter: 300,  loss: 13.428097, tr_loss: 6.770565, G_loss: 0.000061
Train iter: 400,  loss: 14.328167, tr_loss: 7.237561, G_loss: 0.000058
Epoch: 97, DC: 0.6829, err: 89.7000
Train iter: 0,  loss: 14.571605, tr_loss: 10.711392, G_loss: 0.000056
Train iter: 100,  loss: 13.890202, tr_loss: 6.543076, G_loss: 0.000057
Train iter: 200,  loss: 13.247055, tr_loss: 7.037010, G_loss: 0.000059
Train iter: 300,  loss: 12.725112, tr_loss: 6.842323, G_loss: 0.000056
Train iter: 400,  loss: 13.045153, tr_loss: 16.113655, G_loss: 0.000058
Epoch: 98, DC: 0.7247, err: 89.7200
Train iter: 0,  loss: 12.818102, tr_loss: 8.646456, G_loss: 0.000060
Train iter: 100,  loss: 13.330939, tr_loss: 6.828872, G_loss: 0.000061
Train iter: 200,  loss: 12.943382, tr_loss: 6.296994, G_loss: 0.000059
Train iter: 300,  loss: 12.498409, tr_loss: 6.250076, G_loss: 0.000060
Train iter: 400,  loss: 14.003578, tr_loss: 6.420568, G_loss: 0.000060
Epoch: 99, DC: 0.7193, err: 89.6700
Train iter: 0,  loss: 13.325038, tr_loss: 8.579070, G_loss: 0.000060
Train iter: 100,  loss: 13.189049, tr_loss: 7.560742, G_loss: 0.000059
Train iter: 200,  loss: 14.081375, tr_loss: 7.337568, G_loss: 0.000060
Train iter: 300,  loss: 13.813027, tr_loss: 6.633212, G_loss: 0.000060
Train iter: 400,  loss: 12.694588, tr_loss: 6.579295, G_loss: 0.000061
Epoch: 100, DC: 0.7149, err: 88.9200
Train iter: 0,  loss: 13.421429, tr_loss: 11.120670, G_loss: 0.000062
Train iter: 100,  loss: 13.710088, tr_loss: 6.346721, G_loss: 0.000060
Train iter: 200,  loss: 14.041894, tr_loss: 7.836660, G_loss: 0.000060
Train iter: 300,  loss: 12.877117, tr_loss: 7.693604, G_loss: 0.000063
Train iter: 400,  loss: 12.738532, tr_loss: 6.009841, G_loss: 0.000062
Epoch: 101, DC: 0.7186, err: 89.7300
Train iter: 0,  loss: 11.735720, tr_loss: 5.538778, G_loss: 0.000063
Train iter: 100,  loss: 14.087181, tr_loss: 7.059899, G_loss: 0.000060
Train iter: 200,  loss: 13.491011, tr_loss: 6.461636, G_loss: 0.000062
Train iter: 300,  loss: 12.916862, tr_loss: 6.908134, G_loss: 0.000060
Train iter: 400,  loss: 13.680718, tr_loss: 8.771402, G_loss: 0.000060
Epoch: 102, DC: 0.7181, err: 89.7400
Train iter: 0,  loss: 13.498043, tr_loss: 6.591445, G_loss: 0.000062
Train iter: 100,  loss: 12.302924, tr_loss: 6.403569, G_loss: 0.000061
Train iter: 200,  loss: 13.975441, tr_loss: 6.799224, G_loss: 0.000060
Train iter: 300,  loss: 12.677961, tr_loss: 6.688401, G_loss: 0.000061
Train iter: 400,  loss: 13.102767, tr_loss: 9.907741, G_loss: 0.000061
Epoch: 103, DC: 0.7215, err: 89.7300
Train iter: 0,  loss: 12.542470, tr_loss: 6.654955, G_loss: 0.000061
Train iter: 100,  loss: 13.389396, tr_loss: 6.223103, G_loss: 0.000062
Train iter: 200,  loss: 14.120516, tr_loss: 7.780906, G_loss: 0.000060
Train iter: 300,  loss: 13.284426, tr_loss: 7.744864, G_loss: 0.000061
Train iter: 400,  loss: 13.273634, tr_loss: 6.516936, G_loss: 0.000061
Epoch: 104, DC: 0.7218, err: 89.7400
Train iter: 0,  loss: 11.974335, tr_loss: 7.114479, G_loss: 0.000061
Train iter: 100,  loss: 13.262903, tr_loss: 5.614032, G_loss: 0.000062
Train iter: 200,  loss: 13.363626, tr_loss: 5.934255, G_loss: 0.000061
Train iter: 300,  loss: 13.678218, tr_loss: 6.170664, G_loss: 0.000060
Train iter: 400,  loss: 12.288049, tr_loss: 7.774715, G_loss: 0.000059
Epoch: 105, DC: 0.7234, err: 89.7300
Train iter: 0,  loss: 13.272416, tr_loss: 6.390567, G_loss: 0.000060
Train iter: 100,  loss: 13.162769, tr_loss: 5.977905, G_loss: 0.000062
Train iter: 200,  loss: 13.464928, tr_loss: 6.156006, G_loss: 0.000061
Train iter: 300,  loss: 12.867297, tr_loss: 6.199015, G_loss: 0.000062
Train iter: 400,  loss: 14.124532, tr_loss: 7.614787, G_loss: 0.000057
Epoch: 106, DC: 0.7122, err: 89.7300
Train iter: 0,  loss: 13.885138, tr_loss: 9.699566, G_loss: 0.000057
Train iter: 100,  loss: 13.558293, tr_loss: 15.726661, G_loss: 0.000059
Train iter: 200,  loss: 13.094818, tr_loss: 6.457619, G_loss: 0.000062
Train iter: 300,  loss: 13.755685, tr_loss: 6.742277, G_loss: 0.000057
Train iter: 400,  loss: 13.761818, tr_loss: 8.447280, G_loss: 0.000055
Epoch: 107, DC: 0.7210, err: 89.7300
Train iter: 0,  loss: 13.131172, tr_loss: 6.692688, G_loss: 0.000059
Train iter: 100,  loss: 14.239086, tr_loss: 6.428216, G_loss: 0.000058
Train iter: 200,  loss: 13.787056, tr_loss: 5.866766, G_loss: 0.000059
Train iter: 300,  loss: 15.341396, tr_loss: 6.314948, G_loss: 0.000060
Train iter: 400,  loss: 13.533383, tr_loss: 6.498613, G_loss: 0.000062
Epoch: 108, DC: 0.7204, err: 89.7500
Train iter: 0,  loss: 14.020383, tr_loss: 8.690466, G_loss: 0.000060
Train iter: 100,  loss: 13.561838, tr_loss: 6.292009, G_loss: 0.000061
Train iter: 200,  loss: 14.158912, tr_loss: 6.763062, G_loss: 0.000061
Train iter: 300,  loss: 12.631157, tr_loss: 6.453026, G_loss: 0.000061
Train iter: 400,  loss: 12.862640, tr_loss: 11.230686, G_loss: 0.000060
Epoch: 109, DC: 0.7207, err: 89.7200
Train iter: 0,  loss: 12.874672, tr_loss: 12.672684, G_loss: 0.000061
Train iter: 100,  loss: 13.270071, tr_loss: 5.728647, G_loss: 0.000060
Train iter: 200,  loss: 14.858423, tr_loss: 6.503015, G_loss: 0.000061
Train iter: 300,  loss: 13.696890, tr_loss: 6.006950, G_loss: 0.000060
Train iter: 400,  loss: 15.027262, tr_loss: 6.904928, G_loss: 0.000060
Epoch: 110, DC: 0.7201, err: 89.7300
Train iter: 0,  loss: 13.076216, tr_loss: 6.829336, G_loss: 0.000060
Train iter: 100,  loss: 14.013688, tr_loss: 5.953176, G_loss: 0.000060
Train iter: 200,  loss: 12.869266, tr_loss: 6.132488, G_loss: 0.000060
Train iter: 300,  loss: 14.298115, tr_loss: 8.008816, G_loss: 0.000053
Train iter: 400,  loss: 13.394059, tr_loss: 6.905128, G_loss: 0.000055
Epoch: 111, DC: 0.7168, err: 89.7300
Train iter: 0,  loss: 13.632894, tr_loss: 6.737849, G_loss: 0.000055
Train iter: 100,  loss: 12.463163, tr_loss: 9.023030, G_loss: 0.000057
Train iter: 200,  loss: 14.817923, tr_loss: 7.152026, G_loss: 0.000057
Train iter: 300,  loss: 13.403851, tr_loss: 7.769493, G_loss: 0.000058
Train iter: 400,  loss: 14.500127, tr_loss: 5.974343, G_loss: 0.000059
Epoch: 112, DC: 0.7193, err: 89.7500
Train iter: 0,  loss: 14.367147, tr_loss: 6.095454, G_loss: 0.000058
Train iter: 100,  loss: 13.732630, tr_loss: 6.281587, G_loss: 0.000060
Train iter: 200,  loss: 14.126616, tr_loss: 5.874526, G_loss: 0.000059
Train iter: 300,  loss: 13.809645, tr_loss: 6.511691, G_loss: 0.000059
Train iter: 400,  loss: 13.819434, tr_loss: 6.038562, G_loss: 0.000059
Epoch: 113, DC: 0.7180, err: 89.7400
Train iter: 0,  loss: 14.578836, tr_loss: 7.893505, G_loss: 0.000059
Train iter: 100,  loss: 14.716220, tr_loss: 6.397882, G_loss: 0.000058
Train iter: 200,  loss: 13.649565, tr_loss: 5.903770, G_loss: 0.000060
Train iter: 300,  loss: 13.346067, tr_loss: 6.256231, G_loss: 0.000060
Train iter: 400,  loss: 13.521482, tr_loss: 5.511409, G_loss: 0.000061
Epoch: 114, DC: 0.7204, err: 89.7200
Train iter: 0,  loss: 13.570614, tr_loss: 8.937873, G_loss: 0.000060
Train iter: 100,  loss: 14.000809, tr_loss: 5.952436, G_loss: 0.000061
Train iter: 200,  loss: 14.090733, tr_loss: 8.170212, G_loss: 0.000059
Train iter: 300,  loss: 13.121960, tr_loss: 6.600626, G_loss: 0.000060
Train iter: 400,  loss: 12.875282, tr_loss: 9.245399, G_loss: 0.000060
Epoch: 115, DC: 0.7180, err: 89.7400
Train iter: 0,  loss: 14.164954, tr_loss: 6.768387, G_loss: 0.000060
Train iter: 100,  loss: 13.149758, tr_loss: 8.127195, G_loss: 0.000060
Train iter: 200,  loss: 12.580854, tr_loss: 6.337447, G_loss: 0.000060
Train iter: 300,  loss: 12.406688, tr_loss: 21.625557, G_loss: 0.000060
Train iter: 400,  loss: 13.655169, tr_loss: 6.253341, G_loss: 0.000057
Epoch: 116, DC: 0.7134, err: 89.7400
Train iter: 0,  loss: 13.486889, tr_loss: 6.117001, G_loss: 0.000060
Train iter: 100,  loss: 13.781093, tr_loss: 6.106853, G_loss: 0.000061
Train iter: 200,  loss: 13.814959, tr_loss: 6.570988, G_loss: 0.000059
Train iter: 300,  loss: 13.279110, tr_loss: 9.290852, G_loss: 0.000059
Train iter: 400,  loss: 13.388937, tr_loss: 5.909087, G_loss: 0.000060
Epoch: 117, DC: 0.7147, err: 89.7200
Train iter: 0,  loss: 13.499193, tr_loss: 5.899341, G_loss: 0.000061
Train iter: 100,  loss: 13.704214, tr_loss: 6.243310, G_loss: 0.000060
Train iter: 200,  loss: 13.702977, tr_loss: 7.402882, G_loss: 0.000061
Train iter: 300,  loss: 13.804523, tr_loss: 6.118962, G_loss: 0.000061
Train iter: 400,  loss: 14.559989, tr_loss: 7.324179, G_loss: 0.000061
Epoch: 118, DC: 0.7158, err: 89.7300
Train iter: 0,  loss: 14.586622, tr_loss: 5.625359, G_loss: 0.000061
Train iter: 100,  loss: 13.972839, tr_loss: 6.383162, G_loss: 0.000060
Train iter: 200,  loss: 12.511513, tr_loss: 6.349500, G_loss: 0.000062
Train iter: 300,  loss: 13.760386, tr_loss: 11.002649, G_loss: 0.000061
Train iter: 400,  loss: 15.309168, tr_loss: 6.461699, G_loss: 0.000060
Epoch: 119, DC: 0.7162, err: 89.7300
Train iter: 0,  loss: 14.186125, tr_loss: 6.299839, G_loss: 0.000060
Train iter: 100,  loss: 13.721175, tr_loss: 6.139563, G_loss: 0.000060
Train iter: 200,  loss: 14.528744, tr_loss: 6.935555, G_loss: 0.000059
Train iter: 300,  loss: 14.110474, tr_loss: 6.037888, G_loss: 0.000061
Train iter: 400,  loss: 12.981749, tr_loss: 6.326604, G_loss: 0.000061
Epoch: 120, DC: 0.7114, err: 89.7100
Train iter: 0,  loss: 12.742546, tr_loss: 6.813402, G_loss: 0.000059
Train iter: 100,  loss: 13.375263, tr_loss: 5.966643, G_loss: 0.000059
Train iter: 200,  loss: 13.217851, tr_loss: 9.311992, G_loss: 0.000056
Train iter: 300,  loss: 13.963446, tr_loss: 8.123537, G_loss: 0.000056
Train iter: 400,  loss: 13.168243, tr_loss: 8.772573, G_loss: 0.000058
Epoch: 121, DC: 0.7089, err: 89.7300
Train iter: 0,  loss: 13.844669, tr_loss: 6.617115, G_loss: 0.000059
Train iter: 100,  loss: 12.949766, tr_loss: 6.888672, G_loss: 0.000060
Train iter: 200,  loss: 12.989727, tr_loss: 6.089890, G_loss: 0.000061
Train iter: 300,  loss: 13.528007, tr_loss: 6.320877, G_loss: 0.000061
Train iter: 400,  loss: 13.119641, tr_loss: 6.006836, G_loss: 0.000061
Epoch: 122, DC: 0.7095, err: 89.7500
Train iter: 0,  loss: 14.105779, tr_loss: 6.899235, G_loss: 0.000061
Train iter: 100,  loss: 13.295688, tr_loss: 5.803913, G_loss: 0.000060
Train iter: 200,  loss: 12.710407, tr_loss: 7.577434, G_loss: 0.000061
Train iter: 300,  loss: 12.944017, tr_loss: 6.849858, G_loss: 0.000061
Train iter: 400,  loss: 13.195324, tr_loss: 9.358805, G_loss: 0.000061
Epoch: 123, DC: 0.7095, err: 89.7400
Train iter: 0,  loss: 13.443659, tr_loss: 6.273796, G_loss: 0.000061
Train iter: 100,  loss: 13.141107, tr_loss: 6.362032, G_loss: 0.000059
Train iter: 200,  loss: 12.972664, tr_loss: 6.337485, G_loss: 0.000060
Train iter: 300,  loss: 12.563737, tr_loss: 6.853827, G_loss: 0.000061
Train iter: 400,  loss: 12.070866, tr_loss: 7.122630, G_loss: 0.000061
Epoch: 124, DC: 0.7213, err: 86.8900
Train iter: 0,  loss: 13.627159, tr_loss: 9.100126, G_loss: 0.000060
Train iter: 100,  loss: 12.827064, tr_loss: 6.562387, G_loss: 0.000061
Train iter: 200,  loss: 12.951987, tr_loss: 7.077024, G_loss: 0.000061
Train iter: 300,  loss: 12.583191, tr_loss: 6.680854, G_loss: 0.000062
Train iter: 400,  loss: 12.691656, tr_loss: 6.273889, G_loss: 0.000062
Epoch: 125, DC: 0.7156, err: 84.1100
Train iter: 0,  loss: 13.812563, tr_loss: 5.938006, G_loss: 0.000062
Train iter: 100,  loss: 12.430802, tr_loss: 6.952116, G_loss: 0.000062
Train iter: 200,  loss: 13.463049, tr_loss: 6.603417, G_loss: 0.000061
Train iter: 300,  loss: 12.894264, tr_loss: 6.209129, G_loss: 0.000059
Train iter: 400,  loss: 11.666002, tr_loss: 8.242139, G_loss: 0.000061
Epoch: 126, DC: 0.7152, err: 89.7000
Train iter: 0,  loss: 13.949171, tr_loss: 6.160140, G_loss: 0.000061
Train iter: 100,  loss: 13.132340, tr_loss: 6.843824, G_loss: 0.000061
Train iter: 200,  loss: 13.201218, tr_loss: 6.054508, G_loss: 0.000060
Train iter: 300,  loss: 13.149106, tr_loss: 6.150392, G_loss: 0.000060
Train iter: 400,  loss: 12.144991, tr_loss: 5.650971, G_loss: 0.000061
Epoch: 127, DC: 0.7146, err: 89.7000
Train iter: 0,  loss: 12.438476, tr_loss: 8.456326, G_loss: 0.000059
Train iter: 100,  loss: 12.810662, tr_loss: 5.871489, G_loss: 0.000060
Train iter: 200,  loss: 13.483140, tr_loss: 6.023038, G_loss: 0.000061
Train iter: 300,  loss: 13.484946, tr_loss: 6.902934, G_loss: 0.000060
Train iter: 400,  loss: 13.412197, tr_loss: 6.959036, G_loss: 0.000057
Epoch: 128, DC: 0.6974, err: 89.7300
Train iter: 0,  loss: 14.055171, tr_loss: 9.089846, G_loss: 0.000055
Train iter: 100,  loss: 14.322789, tr_loss: 6.900959, G_loss: 0.000058
Train iter: 200,  loss: 11.524420, tr_loss: 7.167114, G_loss: 0.000058
Train iter: 300,  loss: 14.837584, tr_loss: 7.534649, G_loss: 0.000058
Train iter: 400,  loss: 13.867300, tr_loss: 5.979932, G_loss: 0.000059
Epoch: 129, DC: 0.7123, err: 89.7200
Train iter: 0,  loss: 13.270010, tr_loss: 20.666920, G_loss: 0.000061
Train iter: 100,  loss: 13.147705, tr_loss: 8.375902, G_loss: 0.000059
Train iter: 200,  loss: 12.952812, tr_loss: 6.156912, G_loss: 0.000060
Train iter: 300,  loss: 14.281896, tr_loss: 6.353089, G_loss: 0.000058
Train iter: 400,  loss: 12.034079, tr_loss: 5.927183, G_loss: 0.000061
Epoch: 130, DC: 0.7133, err: 89.7400
Train iter: 0,  loss: 13.798259, tr_loss: 5.474067, G_loss: 0.000061
Train iter: 100,  loss: 13.599326, tr_loss: 7.497244, G_loss: 0.000058
Train iter: 200,  loss: 12.185923, tr_loss: 9.743733, G_loss: 0.000060
Train iter: 300,  loss: 12.893158, tr_loss: 6.388039, G_loss: 0.000058
Train iter: 400,  loss: 12.646399, tr_loss: 15.213483, G_loss: 0.000060
Epoch: 131, DC: 0.7161, err: 89.7100
Train iter: 0,  loss: 12.885406, tr_loss: 6.219770, G_loss: 0.000060
Train iter: 100,  loss: 12.718547, tr_loss: 6.208811, G_loss: 0.000060
Train iter: 200,  loss: 13.364037, tr_loss: 8.481586, G_loss: 0.000059
Train iter: 300,  loss: 13.295856, tr_loss: 6.978441, G_loss: 0.000060
Train iter: 400,  loss: 12.120720, tr_loss: 5.808022, G_loss: 0.000061
Epoch: 132, DC: 0.7207, err: 89.8300
Train iter: 0,  loss: 12.476425, tr_loss: 9.288019, G_loss: 0.000061
Train iter: 100,  loss: 13.416220, tr_loss: 5.743307, G_loss: 0.000062
Train iter: 200,  loss: 13.814708, tr_loss: 5.746929, G_loss: 0.000062
Train iter: 300,  loss: 10.049747, tr_loss: 5.637384, G_loss: 0.000062
Train iter: 400,  loss: 13.230872, tr_loss: 10.519347, G_loss: 0.000060
Epoch: 133, DC: 0.7143, err: 89.7400
Train iter: 0,  loss: 12.692262, tr_loss: 7.496574, G_loss: 0.000060
Train iter: 100,  loss: 13.283823, tr_loss: 6.628206, G_loss: 0.000060
Train iter: 200,  loss: 11.483045, tr_loss: 5.765791, G_loss: 0.000061
Train iter: 300,  loss: 13.388462, tr_loss: 6.075394, G_loss: 0.000060
Train iter: 400,  loss: 14.562091, tr_loss: 6.721210, G_loss: 0.000060
Epoch: 134, DC: 0.7140, err: 89.7400
Train iter: 0,  loss: 13.064116, tr_loss: 5.871661, G_loss: 0.000061
Train iter: 100,  loss: 13.370143, tr_loss: 6.489297, G_loss: 0.000061
Train iter: 200,  loss: 13.718051, tr_loss: 5.331197, G_loss: 0.000062
Train iter: 300,  loss: 11.864742, tr_loss: 5.833950, G_loss: 0.000063
Train iter: 400,  loss: 13.260610, tr_loss: 5.494015, G_loss: 0.000061
Epoch: 135, DC: 0.7154, err: 89.7300
Train iter: 0,  loss: 13.972608, tr_loss: 5.653415, G_loss: 0.000061
Train iter: 100,  loss: 14.314826, tr_loss: 6.735751, G_loss: 0.000061
Train iter: 200,  loss: 13.455142, tr_loss: 5.956778, G_loss: 0.000061
Train iter: 300,  loss: 13.261806, tr_loss: 6.722448, G_loss: 0.000062
Train iter: 400,  loss: 12.407110, tr_loss: 7.015368, G_loss: 0.000062
Epoch: 136, DC: 0.7167, err: 89.7400
Train iter: 0,  loss: 13.286690, tr_loss: 5.917871, G_loss: 0.000061
Train iter: 100,  loss: 12.790589, tr_loss: 6.522818, G_loss: 0.000061
Train iter: 200,  loss: 13.625616, tr_loss: 5.674622, G_loss: 0.000061
Train iter: 300,  loss: 13.263091, tr_loss: 5.191368, G_loss: 0.000061
Train iter: 400,  loss: 13.215097, tr_loss: 13.680267, G_loss: 0.000061
Epoch: 137, DC: 0.7110, err: 89.7300
Train iter: 0,  loss: 13.301391, tr_loss: 11.500225, G_loss: 0.000062
Train iter: 100,  loss: 14.044729, tr_loss: 7.832790, G_loss: 0.000062
Train iter: 200,  loss: 12.791488, tr_loss: 6.684583, G_loss: 0.000061
Train iter: 300,  loss: 13.377194, tr_loss: 5.877410, G_loss: 0.000061
Train iter: 400,  loss: 12.452935, tr_loss: 6.397547, G_loss: 0.000062
Epoch: 138, DC: 0.7148, err: 89.7200
Train iter: 0,  loss: 13.141761, tr_loss: 5.215654, G_loss: 0.000062
Train iter: 100,  loss: 13.464334, tr_loss: 6.438522, G_loss: 0.000061
Train iter: 200,  loss: 13.731523, tr_loss: 6.248281, G_loss: 0.000059
Train iter: 300,  loss: 13.637405, tr_loss: 5.651361, G_loss: 0.000060
Train iter: 400,  loss: 12.922128, tr_loss: 6.598995, G_loss: 0.000060
Epoch: 139, DC: 0.7069, err: 89.6800
Train iter: 0,  loss: 13.652470, tr_loss: 6.750751, G_loss: 0.000060
Train iter: 100,  loss: 13.319512, tr_loss: 6.915991, G_loss: 0.000059
Train iter: 200,  loss: 13.273016, tr_loss: 6.438955, G_loss: 0.000061
Train iter: 300,  loss: 13.273751, tr_loss: 7.514266, G_loss: 0.000060
Train iter: 400,  loss: 13.576906, tr_loss: 5.701618, G_loss: 0.000060
Epoch: 140, DC: 0.7132, err: 89.7400
Train iter: 0,  loss: 12.745227, tr_loss: 7.360993, G_loss: 0.000060
Train iter: 100,  loss: 12.752911, tr_loss: 6.171426, G_loss: 0.000062
Train iter: 200,  loss: 13.812183, tr_loss: 5.915471, G_loss: 0.000060
Train iter: 300,  loss: 10.551964, tr_loss: 10.844381, G_loss: 0.000062
Train iter: 400,  loss: 12.396132, tr_loss: 5.818719, G_loss: 0.000062
Epoch: 141, DC: 0.7153, err: 89.7100
Train iter: 0,  loss: 13.091478, tr_loss: 5.823849, G_loss: 0.000061
Train iter: 100,  loss: 12.421641, tr_loss: 6.224704, G_loss: 0.000061
Train iter: 200,  loss: 14.270857, tr_loss: 11.086805, G_loss: 0.000063
Train iter: 300,  loss: 12.900629, tr_loss: 7.071752, G_loss: 0.000061
Train iter: 400,  loss: 12.541452, tr_loss: 6.423368, G_loss: 0.000063
Epoch: 142, DC: 0.7197, err: 89.7300
Train iter: 0,  loss: 12.369086, tr_loss: 5.526906, G_loss: 0.000064
Train iter: 100,  loss: 13.315776, tr_loss: 5.489403, G_loss: 0.000062
Train iter: 200,  loss: 12.880415, tr_loss: 5.691765, G_loss: 0.000061
Train iter: 300,  loss: 11.788383, tr_loss: 5.696304, G_loss: 0.000063
Train iter: 400,  loss: 12.716232, tr_loss: 6.306241, G_loss: 0.000061
Epoch: 143, DC: 0.7149, err: 89.7100
Train iter: 0,  loss: 12.854628, tr_loss: 5.341058, G_loss: 0.000063
Train iter: 100,  loss: 13.619571, tr_loss: 6.320121, G_loss: 0.000060
Train iter: 200,  loss: 13.881197, tr_loss: 6.206046, G_loss: 0.000062
Train iter: 300,  loss: 13.776926, tr_loss: 6.239745, G_loss: 0.000063
Train iter: 400,  loss: 12.679684, tr_loss: 5.744153, G_loss: 0.000061
Epoch: 144, DC: 0.7165, err: 89.7100
Train iter: 0,  loss: 12.216316, tr_loss: 6.108875, G_loss: 0.000062
Train iter: 100,  loss: 12.960786, tr_loss: 6.169095, G_loss: 0.000062
Train iter: 200,  loss: 13.761876, tr_loss: 6.591529, G_loss: 0.000060
Train iter: 300,  loss: 12.590513, tr_loss: 6.525192, G_loss: 0.000061
Train iter: 400,  loss: 12.323627, tr_loss: 5.720757, G_loss: 0.000062
Epoch: 145, DC: 0.7144, err: 89.7400
Train iter: 0,  loss: 13.670891, tr_loss: 5.260850, G_loss: 0.000061
Train iter: 100,  loss: 12.079216, tr_loss: 5.950912, G_loss: 0.000061
Train iter: 200,  loss: 12.621475, tr_loss: 5.610358, G_loss: 0.000062
Train iter: 300,  loss: 12.998482, tr_loss: 6.833119, G_loss: 0.000062
Train iter: 400,  loss: 12.612638, tr_loss: 6.210944, G_loss: 0.000062
Epoch: 146, DC: 0.7149, err: 89.7200
Train iter: 0,  loss: 12.291605, tr_loss: 5.350661, G_loss: 0.000062
Train iter: 100,  loss: 12.980370, tr_loss: 7.957040, G_loss: 0.000060
Train iter: 200,  loss: 13.317934, tr_loss: 7.621325, G_loss: 0.000059
Train iter: 300,  loss: 12.811338, tr_loss: 6.347154, G_loss: 0.000060
Train iter: 400,  loss: 12.946377, tr_loss: 6.447744, G_loss: 0.000060
Epoch: 147, DC: 0.7136, err: 89.7200
Train iter: 0,  loss: 13.355509, tr_loss: 6.404767, G_loss: 0.000060
Train iter: 100,  loss: 13.517432, tr_loss: 6.208641, G_loss: 0.000060
Train iter: 200,  loss: 12.819928, tr_loss: 6.171333, G_loss: 0.000059
Train iter: 300,  loss: 12.821228, tr_loss: 5.551149, G_loss: 0.000061
Train iter: 400,  loss: 12.754419, tr_loss: 6.599262, G_loss: 0.000062
Epoch: 148, DC: 0.7147, err: 89.7000
Train iter: 0,  loss: 12.402884, tr_loss: 5.680109, G_loss: 0.000062
Train iter: 100,  loss: 13.080985, tr_loss: 5.531519, G_loss: 0.000061
Train iter: 200,  loss: 13.449820, tr_loss: 12.528442, G_loss: 0.000060
Train iter: 300,  loss: 12.780132, tr_loss: 6.674921, G_loss: 0.000061
Train iter: 400,  loss: 14.656497, tr_loss: 6.384048, G_loss: 0.000060
Epoch: 149, DC: 0.7131, err: 89.7300
Train iter: 0,  loss: 12.185818, tr_loss: 5.875110, G_loss: 0.000062
Train iter: 100,  loss: 13.304249, tr_loss: 5.400764, G_loss: 0.000061
Train iter: 200,  loss: 13.477724, tr_loss: 5.723798, G_loss: 0.000061
Train iter: 300,  loss: 13.251583, tr_loss: 7.279925, G_loss: 0.000061
Train iter: 400,  loss: 12.418445, tr_loss: 5.377176, G_loss: 0.000062
Epoch: 150, DC: 0.7106, err: 89.6900
Train iter: 0,  loss: 12.884682, tr_loss: 8.112005, G_loss: 0.000060
Train iter: 100,  loss: 13.609992, tr_loss: 5.963467, G_loss: 0.000062
Train iter: 200,  loss: 13.072509, tr_loss: 9.044943, G_loss: 0.000060
Train iter: 300,  loss: 12.129004, tr_loss: 6.374590, G_loss: 0.000062
Train iter: 400,  loss: 12.499319, tr_loss: 5.915645, G_loss: 0.000061
Epoch: 151, DC: 0.7182, err: 89.7100
Train iter: 0,  loss: 13.415854, tr_loss: 5.734997, G_loss: 0.000062
Train iter: 100,  loss: 13.152941, tr_loss: 5.458968, G_loss: 0.000062
Train iter: 200,  loss: 13.844926, tr_loss: 6.272951, G_loss: 0.000062
Train iter: 300,  loss: 11.682493, tr_loss: 12.120893, G_loss: 0.000061
Train iter: 400,  loss: 12.597935, tr_loss: 5.868394, G_loss: 0.000062
Epoch: 152, DC: 0.7143, err: 89.7200
Train iter: 0,  loss: 12.464291, tr_loss: 5.595879, G_loss: 0.000063
Train iter: 100,  loss: 11.195787, tr_loss: 5.124652, G_loss: 0.000063
Train iter: 200,  loss: 13.380581, tr_loss: 5.722936, G_loss: 0.000062
Train iter: 300,  loss: 12.754034, tr_loss: 6.657930, G_loss: 0.000062
Train iter: 400,  loss: 12.890834, tr_loss: 6.529953, G_loss: 0.000061
Epoch: 153, DC: 0.7135, err: 89.7400
Train iter: 0,  loss: 12.807472, tr_loss: 7.408916, G_loss: 0.000062
Train iter: 100,  loss: 12.742854, tr_loss: 6.057252, G_loss: 0.000062
Train iter: 200,  loss: 11.253102, tr_loss: 6.086260, G_loss: 0.000061
Train iter: 300,  loss: 13.276594, tr_loss: 6.990695, G_loss: 0.000061
Train iter: 400,  loss: 12.848003, tr_loss: 8.367509, G_loss: 0.000061
Epoch: 154, DC: 0.7129, err: 89.6700
Train iter: 0,  loss: 13.797233, tr_loss: 6.319486, G_loss: 0.000060
Train iter: 100,  loss: 13.819636, tr_loss: 5.726986, G_loss: 0.000061
Train iter: 200,  loss: 12.959607, tr_loss: 5.990970, G_loss: 0.000061
Train iter: 300,  loss: 13.118126, tr_loss: 5.702246, G_loss: 0.000060
Train iter: 400,  loss: 12.671482, tr_loss: 6.224517, G_loss: 0.000061
Epoch: 155, DC: 0.7091, err: 89.7100
Train iter: 0,  loss: 12.945971, tr_loss: 5.753766, G_loss: 0.000061
Train iter: 100,  loss: 11.966942, tr_loss: 8.117779, G_loss: 0.000062
Train iter: 200,  loss: 12.987277, tr_loss: 6.062454, G_loss: 0.000060
Train iter: 300,  loss: 12.042328, tr_loss: 6.550838, G_loss: 0.000061
Train iter: 400,  loss: 12.581215, tr_loss: 6.809674, G_loss: 0.000063
Epoch: 156, DC: 0.7044, err: 89.6900
Train iter: 0,  loss: 13.544700, tr_loss: 5.626764, G_loss: 0.000061
Train iter: 100,  loss: 11.915627, tr_loss: 5.969042, G_loss: 0.000060
Train iter: 200,  loss: 13.881457, tr_loss: 5.285193, G_loss: 0.000060
Train iter: 300,  loss: 13.455575, tr_loss: 6.644362, G_loss: 0.000060
Train iter: 400,  loss: 14.319111, tr_loss: 6.503272, G_loss: 0.000060
Epoch: 157, DC: 0.7042, err: 89.0100
Train iter: 0,  loss: 13.433316, tr_loss: 6.449414, G_loss: 0.000062
Train iter: 100,  loss: 13.418290, tr_loss: 5.405536, G_loss: 0.000060
Train iter: 200,  loss: 12.124044, tr_loss: 6.820961, G_loss: 0.000061
Train iter: 300,  loss: 12.414563, tr_loss: 7.039431, G_loss: 0.000061
Train iter: 400,  loss: 13.520832, tr_loss: 8.483223, G_loss: 0.000058
Epoch: 158, DC: 0.7057, err: 89.7200
Train iter: 0,  loss: 14.025686, tr_loss: 7.171974, G_loss: 0.000060
Train iter: 100,  loss: 12.999482, tr_loss: 6.816053, G_loss: 0.000062
Train iter: 200,  loss: 11.281362, tr_loss: 7.046476, G_loss: 0.000061
Train iter: 300,  loss: 14.153132, tr_loss: 6.355793, G_loss: 0.000060
Train iter: 400,  loss: 13.171113, tr_loss: 6.656017, G_loss: 0.000059
Epoch: 159, DC: 0.7076, err: 89.7000
Train iter: 0,  loss: 14.224013, tr_loss: 5.776316, G_loss: 0.000060
Train iter: 100,  loss: 12.694424, tr_loss: 5.735130, G_loss: 0.000061
Train iter: 200,  loss: 13.171296, tr_loss: 6.925547, G_loss: 0.000059
Train iter: 300,  loss: 12.853303, tr_loss: 6.240573, G_loss: 0.000060
Train iter: 400,  loss: 13.193214, tr_loss: 10.075502, G_loss: 0.000060
Epoch: 160, DC: 0.7087, err: 88.4700
Train iter: 0,  loss: 14.135118, tr_loss: 6.557828, G_loss: 0.000060
Train iter: 100,  loss: 12.887620, tr_loss: 5.886959, G_loss: 0.000061
Train iter: 200,  loss: 13.277454, tr_loss: 5.788377, G_loss: 0.000060
Train iter: 300,  loss: 12.310042, tr_loss: 6.016417, G_loss: 0.000061
Train iter: 400,  loss: 13.140381, tr_loss: 5.462383, G_loss: 0.000060
Epoch: 161, DC: 0.7063, err: 81.0200
Train iter: 0,  loss: 13.475053, tr_loss: 5.506155, G_loss: 0.000060
Train iter: 100,  loss: 12.395374, tr_loss: 5.778593, G_loss: 0.000060
Train iter: 200,  loss: 12.060978, tr_loss: 6.500308, G_loss: 0.000060
Train iter: 300,  loss: 14.013801, tr_loss: 5.560724, G_loss: 0.000061
Train iter: 400,  loss: 13.186761, tr_loss: 11.510654, G_loss: 0.000059
Epoch: 162, DC: 0.7022, err: 86.5800
Train iter: 0,  loss: 13.960919, tr_loss: 7.111283, G_loss: 0.000059
Train iter: 100,  loss: 14.063104, tr_loss: 6.125022, G_loss: 0.000059
Train iter: 200,  loss: 13.200562, tr_loss: 9.469539, G_loss: 0.000060
Train iter: 300,  loss: 13.508185, tr_loss: 5.617705, G_loss: 0.000060
Train iter: 400,  loss: 13.474374, tr_loss: 5.618879, G_loss: 0.000061
Epoch: 163, DC: 0.7037, err: 89.6500
Train iter: 0,  loss: 12.044840, tr_loss: 7.000843, G_loss: 0.000061
Train iter: 100,  loss: 12.934584, tr_loss: 7.447868, G_loss: 0.000061
Train iter: 200,  loss: 13.403515, tr_loss: 14.410862, G_loss: 0.000061
Train iter: 300,  loss: 14.439713, tr_loss: 8.881406, G_loss: 0.000061
Train iter: 400,  loss: 12.398173, tr_loss: 6.100045, G_loss: 0.000060
Epoch: 164, DC: 0.7042, err: 89.9700
Train iter: 0,  loss: 12.760745, tr_loss: 5.497965, G_loss: 0.000060
Train iter: 100,  loss: 12.439493, tr_loss: 6.205877, G_loss: 0.000060
Train iter: 200,  loss: 12.831336, tr_loss: 6.175559, G_loss: 0.000062
Train iter: 300,  loss: 12.349371, tr_loss: 5.185032, G_loss: 0.000062
Train iter: 400,  loss: 11.542464, tr_loss: 5.199950, G_loss: 0.000062
Epoch: 165, DC: 0.6955, err: 88.8300
Train iter: 0,  loss: 12.818404, tr_loss: 8.209996, G_loss: 0.000060
Train iter: 100,  loss: 14.459517, tr_loss: 6.169052, G_loss: 0.000061
Train iter: 200,  loss: 13.248683, tr_loss: 6.926597, G_loss: 0.000060
Train iter: 300,  loss: 13.196111, tr_loss: 6.149716, G_loss: 0.000059
Train iter: 400,  loss: 12.006734, tr_loss: 5.847289, G_loss: 0.000061
Epoch: 166, DC: 0.6994, err: 89.7700
Train iter: 0,  loss: 13.855671, tr_loss: 6.785701, G_loss: 0.000059
Train iter: 100,  loss: 12.925734, tr_loss: 5.938725, G_loss: 0.000060
Train iter: 200,  loss: 14.290490, tr_loss: 5.378733, G_loss: 0.000061
Train iter: 300,  loss: 13.105250, tr_loss: 5.372709, G_loss: 0.000061
Train iter: 400,  loss: 13.326155, tr_loss: 5.896497, G_loss: 0.000060
Epoch: 167, DC: 0.6973, err: 89.7700
Train iter: 0,  loss: 12.438502, tr_loss: 5.123806, G_loss: 0.000062
Train iter: 100,  loss: 12.922764, tr_loss: 5.364798, G_loss: 0.000060
Train iter: 200,  loss: 13.486609, tr_loss: 7.019359, G_loss: 0.000061
Train iter: 300,  loss: 12.691836, tr_loss: 6.531065, G_loss: 0.000060
Train iter: 400,  loss: 13.464029, tr_loss: 5.491858, G_loss: 0.000061
Epoch: 168, DC: 0.6944, err: 89.0900
Train iter: 0,  loss: 13.325543, tr_loss: 7.990891, G_loss: 0.000060
Train iter: 100,  loss: 14.659884, tr_loss: 5.633018, G_loss: 0.000060
Train iter: 200,  loss: 13.208244, tr_loss: 5.879209, G_loss: 0.000060
Train iter: 300,  loss: 13.579295, tr_loss: 5.343606, G_loss: 0.000061
Train iter: 400,  loss: 13.454137, tr_loss: 5.948131, G_loss: 0.000062
Epoch: 169, DC: 0.6619, err: 89.6600
Train iter: 0,  loss: 11.835697, tr_loss: 7.340754, G_loss: 0.000059
Train iter: 100,  loss: 14.045484, tr_loss: 6.249462, G_loss: 0.000058
Train iter: 200,  loss: 14.557991, tr_loss: 5.787132, G_loss: 0.000059
Train iter: 300,  loss: 13.843621, tr_loss: 6.083330, G_loss: 0.000061
Train iter: 400,  loss: 13.529001, tr_loss: 6.142864, G_loss: 0.000061
Epoch: 170, DC: 0.6947, err: 89.4400
Train iter: 0,  loss: 13.259248, tr_loss: 4.987583, G_loss: 0.000061
Train iter: 100,  loss: 13.249147, tr_loss: 5.845701, G_loss: 0.000061
Train iter: 200,  loss: 13.406714, tr_loss: 11.546919, G_loss: 0.000060
Train iter: 300,  loss: 12.651400, tr_loss: 10.489969, G_loss: 0.000060
Train iter: 400,  loss: 13.453243, tr_loss: 6.221642, G_loss: 0.000060
Epoch: 171, DC: 0.6958, err: 89.1800
Train iter: 0,  loss: 13.774835, tr_loss: 6.668820, G_loss: 0.000060
Train iter: 100,  loss: 13.684654, tr_loss: 5.985829, G_loss: 0.000060
Train iter: 200,  loss: 13.171551, tr_loss: 5.313261, G_loss: 0.000060
Train iter: 300,  loss: 11.356368, tr_loss: 5.936318, G_loss: 0.000062
Train iter: 400,  loss: 13.506457, tr_loss: 5.810032, G_loss: 0.000059
Epoch: 172, DC: 0.6939, err: 89.7200
Train iter: 0,  loss: 12.617635, tr_loss: 5.462515, G_loss: 0.000060
Train iter: 100,  loss: 13.191064, tr_loss: 5.820464, G_loss: 0.000059
Train iter: 200,  loss: 12.500406, tr_loss: 6.089135, G_loss: 0.000061
Train iter: 300,  loss: 12.176064, tr_loss: 4.980392, G_loss: 0.000061
Train iter: 400,  loss: 12.244584, tr_loss: 7.288848, G_loss: 0.000059
Epoch: 173, DC: 0.6929, err: 89.7100
Train iter: 0,  loss: 11.555997, tr_loss: 7.275694, G_loss: 0.000059
Train iter: 100,  loss: 13.352105, tr_loss: 5.766726, G_loss: 0.000061
Train iter: 200,  loss: 13.105665, tr_loss: 5.586604, G_loss: 0.000060
Train iter: 300,  loss: 13.976988, tr_loss: 7.895744, G_loss: 0.000060
Train iter: 400,  loss: 13.824377, tr_loss: 5.981855, G_loss: 0.000060
Epoch: 174, DC: 0.6972, err: 89.7300
Train iter: 0,  loss: 12.667397, tr_loss: 5.897788, G_loss: 0.000061
Train iter: 100,  loss: 12.415993, tr_loss: 11.379065, G_loss: 0.000063
Train iter: 200,  loss: 13.860818, tr_loss: 6.033830, G_loss: 0.000061
Train iter: 300,  loss: 13.089324, tr_loss: 6.748908, G_loss: 0.000061
Train iter: 400,  loss: 15.779395, tr_loss: 6.677786, G_loss: 0.000060
Epoch: 175, DC: 0.6964, err: 89.7200
Train iter: 0,  loss: 12.720846, tr_loss: 8.263623, G_loss: 0.000061
Train iter: 100,  loss: 13.777814, tr_loss: 5.373781, G_loss: 0.000061
Train iter: 200,  loss: 12.516292, tr_loss: 5.690233, G_loss: 0.000062
Train iter: 300,  loss: 13.108352, tr_loss: 5.527763, G_loss: 0.000061
Train iter: 400,  loss: 13.208148, tr_loss: 6.057891, G_loss: 0.000059
Epoch: 176, DC: 0.6950, err: 89.6600
Train iter: 0,  loss: 14.344947, tr_loss: 6.088256, G_loss: 0.000061
Train iter: 100,  loss: 12.638747, tr_loss: 5.681303, G_loss: 0.000062
Train iter: 200,  loss: 12.527469, tr_loss: 5.686490, G_loss: 0.000061
Train iter: 300,  loss: 14.246931, tr_loss: 5.330328, G_loss: 0.000062
Train iter: 400,  loss: 13.058922, tr_loss: 5.995065, G_loss: 0.000061
Epoch: 177, DC: 0.6959, err: 89.6900
Train iter: 0,  loss: 12.498734, tr_loss: 5.574574, G_loss: 0.000061
Train iter: 100,  loss: 13.234715, tr_loss: 5.682683, G_loss: 0.000060
Train iter: 200,  loss: 13.973164, tr_loss: 5.420404, G_loss: 0.000061
Train iter: 300,  loss: 13.721206, tr_loss: 5.683734, G_loss: 0.000061
Train iter: 400,  loss: 13.055903, tr_loss: 6.373925, G_loss: 0.000060
Epoch: 178, DC: 0.6974, err: 89.7000
Train iter: 0,  loss: 12.776452, tr_loss: 7.440325, G_loss: 0.000061
Train iter: 100,  loss: 12.120649, tr_loss: 5.733438, G_loss: 0.000061
Train iter: 200,  loss: 13.574080, tr_loss: 4.938107, G_loss: 0.000062
Train iter: 300,  loss: 12.995358, tr_loss: 6.002250, G_loss: 0.000061
Train iter: 400,  loss: 13.176012, tr_loss: 5.882104, G_loss: 0.000060
Epoch: 179, DC: 0.6966, err: 89.7100
Train iter: 0,  loss: 12.854418, tr_loss: 5.462476, G_loss: 0.000061
Train iter: 100,  loss: 12.094209, tr_loss: 5.326246, G_loss: 0.000061
Train iter: 200,  loss: 13.270203, tr_loss: 7.414168, G_loss: 0.000060
Train iter: 300,  loss: 12.525876, tr_loss: 4.960540, G_loss: 0.000062
Train iter: 400,  loss: 14.319183, tr_loss: 6.218314, G_loss: 0.000060
Epoch: 180, DC: 0.6964, err: 89.7200
Train iter: 0,  loss: 13.856056, tr_loss: 7.264014, G_loss: 0.000060
Train iter: 100,  loss: 13.025200, tr_loss: 5.712939, G_loss: 0.000060
Train iter: 200,  loss: 14.048058, tr_loss: 5.662410, G_loss: 0.000060
Train iter: 300,  loss: 13.403674, tr_loss: 5.541477, G_loss: 0.000059
Train iter: 400,  loss: 14.835083, tr_loss: 6.699488, G_loss: 0.000057
Epoch: 181, DC: 0.6950, err: 89.1000
Train iter: 0,  loss: 12.690886, tr_loss: 6.383625, G_loss: 0.000059
Train iter: 100,  loss: 13.548018, tr_loss: 5.651560, G_loss: 0.000059
Train iter: 200,  loss: 13.417539, tr_loss: 5.801316, G_loss: 0.000061
Train iter: 300,  loss: 13.770862, tr_loss: 5.244180, G_loss: 0.000061
Train iter: 400,  loss: 14.513291, tr_loss: 5.301591, G_loss: 0.000060
Epoch: 182, DC: 0.6954, err: 89.7300
Train iter: 0,  loss: 15.112577, tr_loss: 5.959229, G_loss: 0.000059
Train iter: 100,  loss: 13.499980, tr_loss: 4.951382, G_loss: 0.000062
Train iter: 200,  loss: 12.494840, tr_loss: 6.280019, G_loss: 0.000059
Train iter: 300,  loss: 13.240342, tr_loss: 5.390969, G_loss: 0.000059
Train iter: 400,  loss: 12.706511, tr_loss: 5.168438, G_loss: 0.000060
Epoch: 183, DC: 0.6946, err: 89.7100
Train iter: 0,  loss: 14.000896, tr_loss: 10.329420, G_loss: 0.000059
Train iter: 100,  loss: 13.427432, tr_loss: 5.662093, G_loss: 0.000059
Train iter: 200,  loss: 14.360036, tr_loss: 4.924750, G_loss: 0.000060
Train iter: 300,  loss: 12.587087, tr_loss: 8.480032, G_loss: 0.000058
Train iter: 400,  loss: 13.327594, tr_loss: 5.337488, G_loss: 0.000060
Epoch: 184, DC: 0.6966, err: 89.7300
Train iter: 0,  loss: 14.447519, tr_loss: 6.691869, G_loss: 0.000061
Train iter: 100,  loss: 12.924872, tr_loss: 5.234058, G_loss: 0.000062
Train iter: 200,  loss: 13.724887, tr_loss: 5.563126, G_loss: 0.000060
Train iter: 300,  loss: 13.353422, tr_loss: 8.858406, G_loss: 0.000060
Train iter: 400,  loss: 13.856448, tr_loss: 7.310545, G_loss: 0.000060
Epoch: 185, DC: 0.6918, err: 89.7400
Train iter: 0,  loss: 14.522254, tr_loss: 7.201231, G_loss: 0.000059
Train iter: 100,  loss: 13.438877, tr_loss: 5.141117, G_loss: 0.000060
Train iter: 200,  loss: 12.749690, tr_loss: 5.750429, G_loss: 0.000061
Train iter: 300,  loss: 13.231824, tr_loss: 7.222231, G_loss: 0.000061
Train iter: 400,  loss: 12.759999, tr_loss: 7.201568, G_loss: 0.000062
Epoch: 186, DC: 0.6957, err: 89.6500
Train iter: 0,  loss: 14.302969, tr_loss: 6.581594, G_loss: 0.000060
Train iter: 100,  loss: 12.728511, tr_loss: 4.981438, G_loss: 0.000061
Train iter: 200,  loss: 13.221784, tr_loss: 7.501693, G_loss: 0.000059
Train iter: 300,  loss: 13.351818, tr_loss: 6.420586, G_loss: 0.000060
Train iter: 400,  loss: 13.139934, tr_loss: 7.433640, G_loss: 0.000059
Epoch: 187, DC: 0.6975, err: 89.7400
Train iter: 0,  loss: 12.976711, tr_loss: 5.843740, G_loss: 0.000060
Train iter: 100,  loss: 13.540800, tr_loss: 5.935669, G_loss: 0.000060
Train iter: 200,  loss: 12.851953, tr_loss: 5.490825, G_loss: 0.000061
Train iter: 300,  loss: 13.106280, tr_loss: 5.311940, G_loss: 0.000060
Train iter: 400,  loss: 14.296435, tr_loss: 5.878963, G_loss: 0.000059
Epoch: 188, DC: 0.6964, err: 89.7500
Train iter: 0,  loss: 13.159287, tr_loss: 5.987226, G_loss: 0.000060
Train iter: 100,  loss: 13.466827, tr_loss: 6.767015, G_loss: 0.000061
Train iter: 200,  loss: 12.900721, tr_loss: 6.773091, G_loss: 0.000060
Train iter: 300,  loss: 11.377905, tr_loss: 7.519964, G_loss: 0.000060
Train iter: 400,  loss: 14.409262, tr_loss: 6.537363, G_loss: 0.000058
Epoch: 189, DC: 0.6935, err: 89.7500
Train iter: 0,  loss: 13.760069, tr_loss: 5.639801, G_loss: 0.000058
Train iter: 100,  loss: 13.280256, tr_loss: 6.254091, G_loss: 0.000059
Train iter: 200,  loss: 13.617264, tr_loss: 5.415030, G_loss: 0.000061
Train iter: 300,  loss: 14.707682, tr_loss: 5.482800, G_loss: 0.000060
Train iter: 400,  loss: 14.255170, tr_loss: 6.369069, G_loss: 0.000060
Epoch: 190, DC: 0.6953, err: 88.8600
Train iter: 0,  loss: 14.539443, tr_loss: 5.681084, G_loss: 0.000060
Train iter: 100,  loss: 12.684828, tr_loss: 5.768058, G_loss: 0.000061
Train iter: 200,  loss: 13.303275, tr_loss: 6.458318, G_loss: 0.000061
Train iter: 300,  loss: 14.674194, tr_loss: 5.533737, G_loss: 0.000060
Train iter: 400,  loss: 14.525909, tr_loss: 5.392657, G_loss: 0.000061
Epoch: 191, DC: 0.6947, err: 89.7200
Train iter: 0,  loss: 13.501094, tr_loss: 7.313907, G_loss: 0.000061
Train iter: 100,  loss: 13.325605, tr_loss: 4.820655, G_loss: 0.000061
Train iter: 200,  loss: 13.475241, tr_loss: 6.308008, G_loss: 0.000059
Train iter: 300,  loss: 12.774271, tr_loss: 5.292045, G_loss: 0.000061
Train iter: 400,  loss: 11.888889, tr_loss: 12.755838, G_loss: 0.000060
Epoch: 192, DC: 0.6947, err: 89.7300
Train iter: 0,  loss: 13.004100, tr_loss: 5.328805, G_loss: 0.000060
Train iter: 100,  loss: 13.423320, tr_loss: 5.420474, G_loss: 0.000060
Train iter: 200,  loss: 14.821630, tr_loss: 6.005785, G_loss: 0.000060
Train iter: 300,  loss: 14.127543, tr_loss: 5.072552, G_loss: 0.000061
Train iter: 400,  loss: 14.674212, tr_loss: 5.488446, G_loss: 0.000059
Epoch: 193, DC: 0.6916, err: 89.7200
Train iter: 0,  loss: 14.832310, tr_loss: 5.613055, G_loss: 0.000060
Train iter: 100,  loss: 14.942799, tr_loss: 5.674906, G_loss: 0.000059
Train iter: 200,  loss: 13.066050, tr_loss: 6.170965, G_loss: 0.000060
Train iter: 300,  loss: 13.418855, tr_loss: 4.804639, G_loss: 0.000060
Train iter: 400,  loss: 12.695653, tr_loss: 6.375642, G_loss: 0.000060
Epoch: 194, DC: 0.6916, err: 89.7300
Train iter: 0,  loss: 13.702505, tr_loss: 8.713436, G_loss: 0.000060
Train iter: 100,  loss: 13.663371, tr_loss: 6.435653, G_loss: 0.000060
Train iter: 200,  loss: 13.326720, tr_loss: 5.451371, G_loss: 0.000062
Train iter: 300,  loss: 13.069063, tr_loss: 5.157269, G_loss: 0.000060
Train iter: 400,  loss: 12.745515, tr_loss: 31.262442, G_loss: 0.000059
Epoch: 195, DC: 0.6907, err: 89.7600
Train iter: 0,  loss: 12.840076, tr_loss: 6.138877, G_loss: 0.000059
Train iter: 100,  loss: 13.760881, tr_loss: 5.319653, G_loss: 0.000058
Train iter: 200,  loss: 12.217890, tr_loss: 6.017416, G_loss: 0.000058
Train iter: 300,  loss: 12.894362, tr_loss: 5.520960, G_loss: 0.000058
Train iter: 400,  loss: 12.829912, tr_loss: 12.836510, G_loss: 0.000057
Epoch: 196, DC: 0.6923, err: 89.7200
Train iter: 0,  loss: 14.732205, tr_loss: 9.255197, G_loss: 0.000058
Train iter: 100,  loss: 12.291175, tr_loss: 6.506166, G_loss: 0.000058
Train iter: 200,  loss: 14.143755, tr_loss: 6.101214, G_loss: 0.000058
Train iter: 300,  loss: 11.648022, tr_loss: 6.229819, G_loss: 0.000060
Train iter: 400,  loss: 13.368278, tr_loss: 5.649613, G_loss: 0.000058
Epoch: 197, DC: 0.6902, err: 89.6900
Train iter: 0,  loss: 12.006623, tr_loss: 5.991508, G_loss: 0.000059
Train iter: 100,  loss: 13.390438, tr_loss: 5.326526, G_loss: 0.000060
Train iter: 200,  loss: 13.128744, tr_loss: 5.779042, G_loss: 0.000058
Train iter: 300,  loss: 12.684084, tr_loss: 5.206787, G_loss: 0.000059
Train iter: 400,  loss: 12.508489, tr_loss: 5.337337, G_loss: 0.000059
Epoch: 198, DC: 0.6889, err: 89.7500
Train iter: 0,  loss: 13.012914, tr_loss: 7.788111, G_loss: 0.000059
Train iter: 100,  loss: 13.838892, tr_loss: 7.916749, G_loss: 0.000058
Train iter: 200,  loss: 13.576893, tr_loss: 5.899172, G_loss: 0.000058
Train iter: 300,  loss: 13.042137, tr_loss: 5.850631, G_loss: 0.000058
Train iter: 400,  loss: 12.779788, tr_loss: 12.112434, G_loss: 0.000058
Epoch: 199, DC: 0.6953, err: 89.7100
Train iter: 0,  loss: 14.060121, tr_loss: 9.632570, G_loss: 0.000057
Train iter: 100,  loss: 12.423058, tr_loss: 5.793091, G_loss: 0.000059
Train iter: 200,  loss: 14.281889, tr_loss: 5.961636, G_loss: 0.000059
Train iter: 300,  loss: 13.683499, tr_loss: 6.789518, G_loss: 0.000057
Train iter: 400,  loss: 13.870119, tr_loss: 5.158776, G_loss: 0.000060
Epoch: 200, DC: 0.6920, err: 89.7200
Accuracy: 99.660000 
Done!
