Train iter: 0,  loss: 2.367408, tr_loss: 284801.375000, G_loss: 0.000075
Train iter: 100,  loss: 4.696968, tr_loss: 1709.468262, G_loss: 0.000055
Train iter: 200,  loss: 5.198084, tr_loss: 846.629883, G_loss: 0.000053
Train iter: 300,  loss: 6.195826, tr_loss: 510.920593, G_loss: 0.000052
Train iter: 400,  loss: 6.292679, tr_loss: 326.141113, G_loss: 0.000051
Epoch: 1, DC: 0.1442, err: 89.6700
Train iter: 0,  loss: 6.457778, tr_loss: 278.802185, G_loss: 0.000051
Train iter: 100,  loss: 7.292512, tr_loss: 273.792969, G_loss: 0.000050
Train iter: 200,  loss: 7.387526, tr_loss: 220.363831, G_loss: 0.000049
Train iter: 300,  loss: 7.532848, tr_loss: 147.368530, G_loss: 0.000049
Train iter: 400,  loss: 7.769317, tr_loss: 186.441849, G_loss: 0.000048
Epoch: 2, DC: 0.1819, err: 93.5100
Train iter: 0,  loss: 7.778623, tr_loss: 120.661736, G_loss: 0.000048
Train iter: 100,  loss: 8.180524, tr_loss: 103.761238, G_loss: 0.000047
Train iter: 200,  loss: 7.638832, tr_loss: 110.092285, G_loss: 0.000046
Train iter: 300,  loss: 8.484241, tr_loss: 98.901642, G_loss: 0.000047
Train iter: 400,  loss: 8.811773, tr_loss: 122.762474, G_loss: 0.000046
Epoch: 3, DC: 0.1961, err: 94.1100
Train iter: 0,  loss: 8.710835, tr_loss: 100.402100, G_loss: 0.000046
Train iter: 100,  loss: 8.667130, tr_loss: 84.975937, G_loss: 0.000046
Train iter: 200,  loss: 9.412442, tr_loss: 74.943756, G_loss: 0.000045
Train iter: 300,  loss: 9.441166, tr_loss: 76.287277, G_loss: 0.000045
Train iter: 400,  loss: 9.236421, tr_loss: 67.442207, G_loss: 0.000045
Epoch: 4, DC: 0.2196, err: 92.9500
Train iter: 0,  loss: 10.039937, tr_loss: 79.015884, G_loss: 0.000043
Train iter: 100,  loss: 9.567169, tr_loss: 72.466324, G_loss: 0.000043
Train iter: 200,  loss: 9.810355, tr_loss: 66.814102, G_loss: 0.000044
Train iter: 300,  loss: 9.707520, tr_loss: 50.201355, G_loss: 0.000043
Train iter: 400,  loss: 11.021440, tr_loss: 64.079514, G_loss: 0.000043
Epoch: 5, DC: 0.2297, err: 92.3700
Train iter: 0,  loss: 9.438488, tr_loss: 58.306480, G_loss: 0.000044
Train iter: 100,  loss: 9.622994, tr_loss: 53.365417, G_loss: 0.000043
Train iter: 200,  loss: 10.540874, tr_loss: 51.185848, G_loss: 0.000042
Train iter: 300,  loss: 10.190239, tr_loss: 59.403122, G_loss: 0.000041
Train iter: 400,  loss: 10.235332, tr_loss: 48.221561, G_loss: 0.000042
Epoch: 6, DC: 0.2577, err: 91.8600
Train iter: 0,  loss: 10.759595, tr_loss: 46.987816, G_loss: 0.000042
Train iter: 100,  loss: 10.468719, tr_loss: 43.747574, G_loss: 0.000042
Train iter: 200,  loss: 10.728678, tr_loss: 47.479404, G_loss: 0.000042
Train iter: 300,  loss: 10.484406, tr_loss: 38.565338, G_loss: 0.000041
Train iter: 400,  loss: 10.681308, tr_loss: 45.750393, G_loss: 0.000041
Epoch: 7, DC: 0.2788, err: 92.1500
Train iter: 0,  loss: 10.598670, tr_loss: 37.849129, G_loss: 0.000041
Train iter: 100,  loss: 11.366917, tr_loss: 43.253269, G_loss: 0.000041
Train iter: 200,  loss: 10.488201, tr_loss: 41.657413, G_loss: 0.000040
Train iter: 300,  loss: 11.323968, tr_loss: 40.336456, G_loss: 0.000039
Train iter: 400,  loss: 10.836484, tr_loss: 49.319878, G_loss: 0.000039
Epoch: 8, DC: 0.2756, err: 91.5200
Train iter: 0,  loss: 11.593264, tr_loss: 39.775246, G_loss: 0.000040
Train iter: 100,  loss: 10.918680, tr_loss: 35.487587, G_loss: 0.000040
Train iter: 200,  loss: 10.781927, tr_loss: 40.602684, G_loss: 0.000040
Train iter: 300,  loss: 11.906175, tr_loss: 39.559647, G_loss: 0.000039
Train iter: 400,  loss: 10.588058, tr_loss: 43.529953, G_loss: 0.000038
Epoch: 9, DC: 0.2960, err: 91.3500
Train iter: 0,  loss: 11.023732, tr_loss: 39.524330, G_loss: 0.000039
Train iter: 100,  loss: 11.295333, tr_loss: 32.207733, G_loss: 0.000039
Train iter: 200,  loss: 10.430493, tr_loss: 32.908817, G_loss: 0.000038
Train iter: 300,  loss: 11.024932, tr_loss: 36.884071, G_loss: 0.000038
Train iter: 400,  loss: 11.275455, tr_loss: 34.719917, G_loss: 0.000037
Epoch: 10, DC: 0.3560, err: 89.2900
Train iter: 0,  loss: 10.105232, tr_loss: 34.450447, G_loss: 0.000037
Train iter: 100,  loss: 11.030695, tr_loss: 33.057266, G_loss: 0.000038
Train iter: 200,  loss: 10.936486, tr_loss: 29.824869, G_loss: 0.000037
Train iter: 300,  loss: 11.280383, tr_loss: 31.339584, G_loss: 0.000037
Train iter: 400,  loss: 13.490866, tr_loss: 36.614452, G_loss: 0.000037
Epoch: 11, DC: 0.3838, err: 91.7000
Train iter: 0,  loss: 12.616315, tr_loss: 25.537575, G_loss: 0.000036
Train iter: 100,  loss: 12.108150, tr_loss: 31.307919, G_loss: 0.000036
Train iter: 200,  loss: 13.306146, tr_loss: 25.243351, G_loss: 0.000036
Train iter: 300,  loss: 11.749969, tr_loss: 26.735041, G_loss: 0.000036
Train iter: 400,  loss: 12.758379, tr_loss: 21.370018, G_loss: 0.000036
Epoch: 12, DC: 0.4075, err: 91.3000
Train iter: 0,  loss: 12.561874, tr_loss: 34.588196, G_loss: 0.000035
Train iter: 100,  loss: 14.066849, tr_loss: 24.899963, G_loss: 0.000036
Train iter: 200,  loss: 13.720986, tr_loss: 26.537222, G_loss: 0.000035
Train iter: 300,  loss: 13.243834, tr_loss: 24.358116, G_loss: 0.000035
Train iter: 400,  loss: 13.615616, tr_loss: 22.752823, G_loss: 0.000034
Epoch: 13, DC: 0.4358, err: 85.1000
Train iter: 0,  loss: 12.143364, tr_loss: 18.222301, G_loss: 0.000035
Train iter: 100,  loss: 14.241174, tr_loss: 22.250671, G_loss: 0.000034
Train iter: 200,  loss: 13.829296, tr_loss: 19.971184, G_loss: 0.000035
Train iter: 300,  loss: 12.187094, tr_loss: 20.012428, G_loss: 0.000034
Train iter: 400,  loss: 13.975906, tr_loss: 17.392757, G_loss: 0.000034
Epoch: 14, DC: 0.4746, err: 84.4200
Train iter: 0,  loss: 13.832606, tr_loss: 16.847261, G_loss: 0.000034
Train iter: 100,  loss: 13.746105, tr_loss: 17.753103, G_loss: 0.000034
Train iter: 200,  loss: 11.966660, tr_loss: 15.532100, G_loss: 0.000034
Train iter: 300,  loss: 12.678022, tr_loss: 21.182173, G_loss: 0.000034
Train iter: 400,  loss: 13.448707, tr_loss: 14.777175, G_loss: 0.000034
Epoch: 15, DC: 0.4847, err: 85.7400
Train iter: 0,  loss: 12.907560, tr_loss: 15.004148, G_loss: 0.000034
Train iter: 100,  loss: 12.484984, tr_loss: 20.595007, G_loss: 0.000033
Train iter: 200,  loss: 12.754344, tr_loss: 15.847551, G_loss: 0.000034
Train iter: 300,  loss: 12.087954, tr_loss: 21.901230, G_loss: 0.000033
Train iter: 400,  loss: 13.714552, tr_loss: 13.000504, G_loss: 0.000033
Epoch: 16, DC: 0.5050, err: 84.4200
Train iter: 0,  loss: 12.962932, tr_loss: 11.576555, G_loss: 0.000034
Train iter: 100,  loss: 13.211965, tr_loss: 15.078952, G_loss: 0.000033
Train iter: 200,  loss: 12.302962, tr_loss: 16.679373, G_loss: 0.000033
Train iter: 300,  loss: 12.433269, tr_loss: 17.211706, G_loss: 0.000033
Train iter: 400,  loss: 12.684350, tr_loss: 21.175594, G_loss: 0.000034
Epoch: 17, DC: 0.5088, err: 83.6000
Train iter: 0,  loss: 13.135612, tr_loss: 13.550442, G_loss: 0.000033
Train iter: 100,  loss: 11.891015, tr_loss: 13.635236, G_loss: 0.000034
Train iter: 200,  loss: 13.087428, tr_loss: 14.171789, G_loss: 0.000035
Train iter: 300,  loss: 11.746764, tr_loss: 13.983808, G_loss: 0.000034
Train iter: 400,  loss: 13.012595, tr_loss: 13.061297, G_loss: 0.000035
Epoch: 18, DC: 0.5181, err: 84.2600
Train iter: 0,  loss: 12.102712, tr_loss: 11.930325, G_loss: 0.000035
Train iter: 100,  loss: 12.700412, tr_loss: 18.818426, G_loss: 0.000033
Train iter: 200,  loss: 12.132335, tr_loss: 11.506544, G_loss: 0.000034
Train iter: 300,  loss: 11.456811, tr_loss: 14.675444, G_loss: 0.000034
Train iter: 400,  loss: 12.111269, tr_loss: 12.779036, G_loss: 0.000034
Epoch: 19, DC: 0.5521, err: 83.0700
Train iter: 0,  loss: 12.812467, tr_loss: 12.226913, G_loss: 0.000034
Train iter: 100,  loss: 12.387383, tr_loss: 13.010904, G_loss: 0.000036
Train iter: 200,  loss: 11.867458, tr_loss: 16.253262, G_loss: 0.000034
Train iter: 300,  loss: 10.378728, tr_loss: 11.936917, G_loss: 0.000035
Train iter: 400,  loss: 11.435358, tr_loss: 13.763475, G_loss: 0.000034
Epoch: 20, DC: 0.5594, err: 81.1600
Train iter: 0,  loss: 11.745663, tr_loss: 10.842540, G_loss: 0.000034
Train iter: 100,  loss: 12.697124, tr_loss: 13.760410, G_loss: 0.000034
Train iter: 200,  loss: 12.221434, tr_loss: 10.512486, G_loss: 0.000035
Train iter: 300,  loss: 12.027349, tr_loss: 12.648457, G_loss: 0.000034
Train iter: 400,  loss: 10.603103, tr_loss: 12.902500, G_loss: 0.000035
Epoch: 21, DC: 0.5529, err: 82.9100
Train iter: 0,  loss: 10.789736, tr_loss: 10.777433, G_loss: 0.000034
Train iter: 100,  loss: 11.706710, tr_loss: 12.484600, G_loss: 0.000035
Train iter: 200,  loss: 10.466699, tr_loss: 10.265303, G_loss: 0.000035
Train iter: 300,  loss: 9.835893, tr_loss: 9.784777, G_loss: 0.000035
Train iter: 400,  loss: 11.052214, tr_loss: 9.783216, G_loss: 0.000035
Epoch: 22, DC: 0.5814, err: 82.5300
Train iter: 0,  loss: 11.685683, tr_loss: 12.532543, G_loss: 0.000035
Train iter: 100,  loss: 9.086329, tr_loss: 9.916408, G_loss: 0.000035
Train iter: 200,  loss: 10.672707, tr_loss: 12.324791, G_loss: 0.000035
Train iter: 300,  loss: 10.499014, tr_loss: 13.209624, G_loss: 0.000035
Train iter: 400,  loss: 9.913064, tr_loss: 13.885325, G_loss: 0.000035
Epoch: 23, DC: 0.5943, err: 75.9300
Train iter: 0,  loss: 10.142344, tr_loss: 10.578488, G_loss: 0.000035
Train iter: 100,  loss: 8.964787, tr_loss: 10.534332, G_loss: 0.000036
Train iter: 200,  loss: 10.244223, tr_loss: 11.669022, G_loss: 0.000036
Train iter: 300,  loss: 11.000321, tr_loss: 12.519955, G_loss: 0.000035
Train iter: 400,  loss: 9.618421, tr_loss: 12.166252, G_loss: 0.000037
Epoch: 24, DC: 0.6042, err: 76.0300
Train iter: 0,  loss: 9.301981, tr_loss: 13.366609, G_loss: 0.000036
Train iter: 100,  loss: 10.901761, tr_loss: 10.393313, G_loss: 0.000034
Train iter: 200,  loss: 10.828534, tr_loss: 10.881966, G_loss: 0.000036
Train iter: 300,  loss: 10.036650, tr_loss: 12.359857, G_loss: 0.000035
Train iter: 400,  loss: 9.017139, tr_loss: 13.769348, G_loss: 0.000035
Epoch: 25, DC: 0.6133, err: 73.1000
Train iter: 0,  loss: 9.124693, tr_loss: 12.517758, G_loss: 0.000036
Train iter: 100,  loss: 8.926041, tr_loss: 12.451963, G_loss: 0.000036
Train iter: 200,  loss: 10.017660, tr_loss: 9.319775, G_loss: 0.000036
Train iter: 300,  loss: 8.927114, tr_loss: 16.012478, G_loss: 0.000037
Train iter: 400,  loss: 9.481191, tr_loss: 18.496021, G_loss: 0.000036
Epoch: 26, DC: 0.6211, err: 71.6600
Train iter: 0,  loss: 8.922791, tr_loss: 10.464407, G_loss: 0.000035
Train iter: 100,  loss: 9.065554, tr_loss: 13.203646, G_loss: 0.000036
Train iter: 200,  loss: 8.383757, tr_loss: 12.194221, G_loss: 0.000037
Train iter: 300,  loss: 10.058345, tr_loss: 12.649707, G_loss: 0.000035
Train iter: 400,  loss: 10.693631, tr_loss: 10.788425, G_loss: 0.000035
Epoch: 27, DC: 0.6623, err: 71.4400
Train iter: 0,  loss: 9.598768, tr_loss: 9.040092, G_loss: 0.000037
Train iter: 100,  loss: 10.779775, tr_loss: 11.308056, G_loss: 0.000035
Train iter: 200,  loss: 9.693237, tr_loss: 14.397791, G_loss: 0.000036
Train iter: 300,  loss: 8.510771, tr_loss: 14.561527, G_loss: 0.000036
Train iter: 400,  loss: 9.822648, tr_loss: 10.592509, G_loss: 0.000036
Epoch: 28, DC: 0.6218, err: 72.8300
Train iter: 0,  loss: 11.425332, tr_loss: 15.433401, G_loss: 0.000028
Train iter: 100,  loss: 10.453652, tr_loss: 16.139286, G_loss: 0.000030
Train iter: 200,  loss: 9.757390, tr_loss: 13.198746, G_loss: 0.000034
Train iter: 300,  loss: 9.015405, tr_loss: 9.912721, G_loss: 0.000035
Train iter: 400,  loss: 9.959804, tr_loss: 9.365564, G_loss: 0.000035
Epoch: 29, DC: 0.6338, err: 72.2200
Train iter: 0,  loss: 10.142708, tr_loss: 12.389763, G_loss: 0.000035
Train iter: 100,  loss: 9.187280, tr_loss: 14.098438, G_loss: 0.000035
Train iter: 200,  loss: 8.307678, tr_loss: 11.726029, G_loss: 0.000039
Train iter: 300,  loss: 9.429772, tr_loss: 15.752308, G_loss: 0.000039
Train iter: 400,  loss: 9.405396, tr_loss: 9.502016, G_loss: 0.000037
Epoch: 30, DC: 0.6807, err: 80.3400
Train iter: 0,  loss: 9.264899, tr_loss: 8.628532, G_loss: 0.000038
Train iter: 100,  loss: 8.682679, tr_loss: 12.342348, G_loss: 0.000042
Train iter: 200,  loss: 8.607692, tr_loss: 8.049040, G_loss: 0.000041
Train iter: 300,  loss: 8.080459, tr_loss: 11.650156, G_loss: 0.000040
Train iter: 400,  loss: 8.627305, tr_loss: 7.927357, G_loss: 0.000040
Epoch: 31, DC: 0.6597, err: 76.3600
Train iter: 0,  loss: 9.093142, tr_loss: 10.935061, G_loss: 0.000038
Train iter: 100,  loss: 8.781135, tr_loss: 10.281182, G_loss: 0.000040
Train iter: 200,  loss: 8.224478, tr_loss: 11.633260, G_loss: 0.000036
Train iter: 300,  loss: 10.147491, tr_loss: 11.746725, G_loss: 0.000035
Train iter: 400,  loss: 9.671481, tr_loss: 11.034069, G_loss: 0.000037
Epoch: 32, DC: 0.6730, err: 71.6000
Train iter: 0,  loss: 9.520728, tr_loss: 8.742950, G_loss: 0.000038
Train iter: 100,  loss: 9.040951, tr_loss: 11.681912, G_loss: 0.000040
Train iter: 200,  loss: 7.986001, tr_loss: 19.820133, G_loss: 0.000040
Train iter: 300,  loss: 8.950607, tr_loss: 12.854588, G_loss: 0.000037
Train iter: 400,  loss: 8.995276, tr_loss: 8.405507, G_loss: 0.000037
Epoch: 33, DC: 0.6846, err: 71.7000
Train iter: 0,  loss: 8.893806, tr_loss: 9.441708, G_loss: 0.000038
Train iter: 100,  loss: 8.972363, tr_loss: 10.801004, G_loss: 0.000040
Train iter: 200,  loss: 8.561462, tr_loss: 9.323477, G_loss: 0.000039
Train iter: 300,  loss: 9.382062, tr_loss: 9.586609, G_loss: 0.000039
Train iter: 400,  loss: 8.556537, tr_loss: 8.852777, G_loss: 0.000039
Epoch: 34, DC: 0.6546, err: 77.9000
Train iter: 0,  loss: 9.821259, tr_loss: 10.777027, G_loss: 0.000037
Train iter: 100,  loss: 9.082490, tr_loss: 10.745030, G_loss: 0.000038
Train iter: 200,  loss: 9.663844, tr_loss: 11.033033, G_loss: 0.000035
Train iter: 300,  loss: 9.000415, tr_loss: 10.108387, G_loss: 0.000036
Train iter: 400,  loss: 9.200139, tr_loss: 11.689871, G_loss: 0.000041
Epoch: 35, DC: 0.6930, err: 71.8900
Train iter: 0,  loss: 8.126861, tr_loss: 10.161514, G_loss: 0.000039
Train iter: 100,  loss: 9.809861, tr_loss: 10.849610, G_loss: 0.000040
Train iter: 200,  loss: 10.344362, tr_loss: 12.848259, G_loss: 0.000041
Train iter: 300,  loss: 10.091599, tr_loss: 10.501472, G_loss: 0.000039
Train iter: 400,  loss: 9.112722, tr_loss: 10.378629, G_loss: 0.000040
Epoch: 36, DC: 0.5530, err: 79.0400
Train iter: 0,  loss: 10.784199, tr_loss: 16.013359, G_loss: 0.000037
Train iter: 100,  loss: 10.646974, tr_loss: 11.255505, G_loss: 0.000036
Train iter: 200,  loss: 9.422886, tr_loss: 16.755859, G_loss: 0.000036
Train iter: 300,  loss: 9.255124, tr_loss: 9.953004, G_loss: 0.000036
Train iter: 400,  loss: 8.235082, tr_loss: 10.115986, G_loss: 0.000038
Epoch: 37, DC: 0.7260, err: 80.3600
Train iter: 0,  loss: 8.905333, tr_loss: 15.651146, G_loss: 0.000036
Train iter: 100,  loss: 8.312693, tr_loss: 12.845800, G_loss: 0.000040
Train iter: 200,  loss: 9.141415, tr_loss: 9.224134, G_loss: 0.000039
Train iter: 300,  loss: 8.428742, tr_loss: 9.928885, G_loss: 0.000040
Train iter: 400,  loss: 9.515354, tr_loss: 12.314594, G_loss: 0.000040
Epoch: 38, DC: 0.7049, err: 75.1300
Train iter: 0,  loss: 9.149145, tr_loss: 11.353387, G_loss: 0.000039
Train iter: 100,  loss: 8.862302, tr_loss: 11.256317, G_loss: 0.000034
Train iter: 200,  loss: 9.778719, tr_loss: 13.566984, G_loss: 0.000035
Train iter: 300,  loss: 8.685684, tr_loss: 10.416544, G_loss: 0.000036
Train iter: 400,  loss: 8.563471, tr_loss: 9.715117, G_loss: 0.000041
Epoch: 39, DC: 0.7345, err: 71.5900
Train iter: 0,  loss: 8.333363, tr_loss: 14.361714, G_loss: 0.000040
Train iter: 100,  loss: 9.066238, tr_loss: 10.316527, G_loss: 0.000038
Train iter: 200,  loss: 8.382459, tr_loss: 10.225017, G_loss: 0.000041
Train iter: 300,  loss: 7.796925, tr_loss: 7.891967, G_loss: 0.000040
Train iter: 400,  loss: 7.838595, tr_loss: 8.639637, G_loss: 0.000043
Epoch: 40, DC: 0.7372, err: 71.5400
Train iter: 0,  loss: 8.420745, tr_loss: 8.031338, G_loss: 0.000042
Train iter: 100,  loss: 8.075452, tr_loss: 9.153305, G_loss: 0.000040
Train iter: 200,  loss: 7.149221, tr_loss: 11.699179, G_loss: 0.000040
Train iter: 300,  loss: 7.655255, tr_loss: 9.864801, G_loss: 0.000039
Train iter: 400,  loss: 8.323280, tr_loss: 8.509766, G_loss: 0.000041
Epoch: 41, DC: 0.7288, err: 72.0000
Train iter: 0,  loss: 7.115893, tr_loss: 10.668254, G_loss: 0.000041
Train iter: 100,  loss: 8.033687, tr_loss: 11.402225, G_loss: 0.000040
Train iter: 200,  loss: 8.177369, tr_loss: 9.202881, G_loss: 0.000038
Train iter: 300,  loss: 7.562946, tr_loss: 12.482433, G_loss: 0.000041
Train iter: 400,  loss: 8.344497, tr_loss: 10.769186, G_loss: 0.000040
Epoch: 42, DC: 0.7449, err: 73.4900
Train iter: 0,  loss: 8.002811, tr_loss: 9.722952, G_loss: 0.000042
Train iter: 100,  loss: 8.496389, tr_loss: 10.908781, G_loss: 0.000041
Train iter: 200,  loss: 7.594846, tr_loss: 8.549339, G_loss: 0.000039
Train iter: 300,  loss: 8.331766, tr_loss: 8.488890, G_loss: 0.000042
Train iter: 400,  loss: 7.841647, tr_loss: 8.739014, G_loss: 0.000044
Epoch: 43, DC: 0.7453, err: 71.1500
Train iter: 0,  loss: 8.485209, tr_loss: 13.520997, G_loss: 0.000042
Train iter: 100,  loss: 8.418776, tr_loss: 7.804545, G_loss: 0.000041
Train iter: 200,  loss: 7.901907, tr_loss: 12.629751, G_loss: 0.000043
Train iter: 300,  loss: 8.063070, tr_loss: 9.019321, G_loss: 0.000046
Train iter: 400,  loss: 7.389403, tr_loss: 7.823837, G_loss: 0.000045
Epoch: 44, DC: 0.7266, err: 79.2400
Train iter: 0,  loss: 8.144036, tr_loss: 10.345223, G_loss: 0.000045
Train iter: 100,  loss: 8.380429, tr_loss: 9.420537, G_loss: 0.000044
Train iter: 200,  loss: 8.524898, tr_loss: 14.496218, G_loss: 0.000040
Train iter: 300,  loss: 8.126222, tr_loss: 8.812599, G_loss: 0.000042
Train iter: 400,  loss: 9.315921, tr_loss: 9.471787, G_loss: 0.000042
Epoch: 45, DC: 0.7393, err: 75.0000
Train iter: 0,  loss: 7.560854, tr_loss: 7.958629, G_loss: 0.000043
Train iter: 100,  loss: 7.536100, tr_loss: 7.012721, G_loss: 0.000044
Train iter: 200,  loss: 8.518462, tr_loss: 7.285384, G_loss: 0.000042
Train iter: 300,  loss: 7.138232, tr_loss: 7.217810, G_loss: 0.000043
Train iter: 400,  loss: 7.457637, tr_loss: 11.209864, G_loss: 0.000043
Epoch: 46, DC: 0.7502, err: 73.4900
Train iter: 0,  loss: 7.982675, tr_loss: 9.689150, G_loss: 0.000042
Train iter: 100,  loss: 7.294217, tr_loss: 9.360418, G_loss: 0.000040
Train iter: 200,  loss: 8.238496, tr_loss: 8.331844, G_loss: 0.000044
Train iter: 300,  loss: 8.080514, tr_loss: 9.129079, G_loss: 0.000040
Train iter: 400,  loss: 8.799542, tr_loss: 6.825081, G_loss: 0.000044
Epoch: 47, DC: 0.7322, err: 78.8700
Train iter: 0,  loss: 8.464628, tr_loss: 9.985481, G_loss: 0.000044
Train iter: 100,  loss: 7.495546, tr_loss: 7.440907, G_loss: 0.000045
Train iter: 200,  loss: 7.150280, tr_loss: 8.261524, G_loss: 0.000044
Train iter: 300,  loss: 8.219291, tr_loss: 7.373668, G_loss: 0.000046
Train iter: 400,  loss: 7.299156, tr_loss: 8.710839, G_loss: 0.000044
Epoch: 48, DC: 0.7301, err: 80.2800
Train iter: 0,  loss: 6.825299, tr_loss: 8.842337, G_loss: 0.000044
Train iter: 100,  loss: 7.256456, tr_loss: 7.273685, G_loss: 0.000045
Train iter: 200,  loss: 7.686695, tr_loss: 7.696250, G_loss: 0.000045
Train iter: 300,  loss: 8.084880, tr_loss: 8.362965, G_loss: 0.000044
Train iter: 400,  loss: 7.713789, tr_loss: 11.289038, G_loss: 0.000045
Epoch: 49, DC: 0.7128, err: 79.3000
Train iter: 0,  loss: 7.363019, tr_loss: 8.393245, G_loss: 0.000042
Train iter: 100,  loss: 8.347853, tr_loss: 9.121835, G_loss: 0.000041
Train iter: 200,  loss: 7.686440, tr_loss: 8.933048, G_loss: 0.000043
Train iter: 300,  loss: 7.282854, tr_loss: 9.292666, G_loss: 0.000043
Train iter: 400,  loss: 7.472547, tr_loss: 7.381423, G_loss: 0.000044
Epoch: 50, DC: 0.7375, err: 85.1400
Train iter: 0,  loss: 7.070129, tr_loss: 7.641992, G_loss: 0.000044
Train iter: 100,  loss: 7.694535, tr_loss: 8.423049, G_loss: 0.000044
Train iter: 200,  loss: 6.946704, tr_loss: 11.422925, G_loss: 0.000046
Train iter: 300,  loss: 6.947296, tr_loss: 8.230434, G_loss: 0.000047
Train iter: 400,  loss: 7.543501, tr_loss: 8.775702, G_loss: 0.000047
Epoch: 51, DC: 0.7310, err: 89.4500
Train iter: 0,  loss: 7.504972, tr_loss: 7.375590, G_loss: 0.000046
Train iter: 100,  loss: 6.726280, tr_loss: 6.748700, G_loss: 0.000046
Train iter: 200,  loss: 6.841986, tr_loss: 7.289546, G_loss: 0.000043
Train iter: 300,  loss: 7.631655, tr_loss: 8.180925, G_loss: 0.000046
Train iter: 400,  loss: 7.983200, tr_loss: 9.079479, G_loss: 0.000046
Epoch: 52, DC: 0.7189, err: 89.9000
Train iter: 0,  loss: 8.257570, tr_loss: 11.084795, G_loss: 0.000045
Train iter: 100,  loss: 7.459831, tr_loss: 7.139190, G_loss: 0.000045
Train iter: 200,  loss: 7.075254, tr_loss: 6.814584, G_loss: 0.000044
Train iter: 300,  loss: 7.701173, tr_loss: 11.155609, G_loss: 0.000043
Train iter: 400,  loss: 7.572575, tr_loss: 7.781683, G_loss: 0.000044
Epoch: 53, DC: 0.7227, err: 90.0100
Train iter: 0,  loss: 6.976834, tr_loss: 7.976526, G_loss: 0.000044
Train iter: 100,  loss: 7.484825, tr_loss: 19.533209, G_loss: 0.000045
Train iter: 200,  loss: 7.700608, tr_loss: 7.751720, G_loss: 0.000047
Train iter: 300,  loss: 7.459039, tr_loss: 10.073461, G_loss: 0.000049
Train iter: 400,  loss: 7.038468, tr_loss: 10.880637, G_loss: 0.000048
Epoch: 54, DC: 0.7496, err: 89.7300
Train iter: 0,  loss: 7.401539, tr_loss: 21.529760, G_loss: 0.000046
Train iter: 100,  loss: 7.771852, tr_loss: 9.430525, G_loss: 0.000046
Train iter: 200,  loss: 7.889120, tr_loss: 8.513077, G_loss: 0.000044
Train iter: 300,  loss: 8.013280, tr_loss: 8.549211, G_loss: 0.000045
Train iter: 400,  loss: 7.315481, tr_loss: 8.426941, G_loss: 0.000045
Epoch: 55, DC: 0.7397, err: 81.7500
Train iter: 0,  loss: 7.554917, tr_loss: 9.325413, G_loss: 0.000043
Train iter: 100,  loss: 6.864206, tr_loss: 7.801390, G_loss: 0.000045
Train iter: 200,  loss: 7.419119, tr_loss: 12.180330, G_loss: 0.000046
Train iter: 300,  loss: 6.690343, tr_loss: 10.544930, G_loss: 0.000044
Train iter: 400,  loss: 7.780094, tr_loss: 8.361792, G_loss: 0.000043
Epoch: 56, DC: 0.7523, err: 84.7500
Train iter: 0,  loss: 7.143288, tr_loss: 6.771079, G_loss: 0.000046
Train iter: 100,  loss: 7.358148, tr_loss: 7.067805, G_loss: 0.000046
Train iter: 200,  loss: 7.832375, tr_loss: 9.005897, G_loss: 0.000043
Train iter: 300,  loss: 7.517808, tr_loss: 8.535065, G_loss: 0.000046
Train iter: 400,  loss: 8.157208, tr_loss: 9.550605, G_loss: 0.000042
Epoch: 57, DC: 0.7375, err: 79.3900
Train iter: 0,  loss: 7.579857, tr_loss: 9.098349, G_loss: 0.000043
Train iter: 100,  loss: 7.776543, tr_loss: 8.412329, G_loss: 0.000046
Train iter: 200,  loss: 9.263774, tr_loss: 8.765946, G_loss: 0.000042
Train iter: 300,  loss: 8.135822, tr_loss: 12.359509, G_loss: 0.000046
Train iter: 400,  loss: 7.068482, tr_loss: 9.063851, G_loss: 0.000047
Epoch: 58, DC: 0.7435, err: 72.7900
Train iter: 0,  loss: 7.434245, tr_loss: 8.721193, G_loss: 0.000047
Train iter: 100,  loss: 7.526790, tr_loss: 9.593853, G_loss: 0.000047
Train iter: 200,  loss: 7.464572, tr_loss: 6.375205, G_loss: 0.000048
Train iter: 300,  loss: 7.954514, tr_loss: 7.117629, G_loss: 0.000047
Train iter: 400,  loss: 6.689898, tr_loss: 6.702169, G_loss: 0.000047
Epoch: 59, DC: 0.7507, err: 71.0500
Train iter: 0,  loss: 7.571524, tr_loss: 6.393804, G_loss: 0.000049
Train iter: 100,  loss: 7.431492, tr_loss: 8.662459, G_loss: 0.000047
Train iter: 200,  loss: 7.166606, tr_loss: 7.220691, G_loss: 0.000045
Train iter: 300,  loss: 7.005494, tr_loss: 7.688344, G_loss: 0.000047
Train iter: 400,  loss: 6.150917, tr_loss: 8.102669, G_loss: 0.000048
Epoch: 60, DC: 0.7440, err: 71.5400
Train iter: 0,  loss: 7.584146, tr_loss: 9.313845, G_loss: 0.000045
Train iter: 100,  loss: 7.302304, tr_loss: 8.765205, G_loss: 0.000045
Train iter: 200,  loss: 6.073202, tr_loss: 6.829228, G_loss: 0.000046
Train iter: 300,  loss: 7.151465, tr_loss: 7.293845, G_loss: 0.000048
Train iter: 400,  loss: 7.279555, tr_loss: 7.024395, G_loss: 0.000045
Epoch: 61, DC: 0.7489, err: 77.6900
Train iter: 0,  loss: 7.074022, tr_loss: 6.924603, G_loss: 0.000048
Train iter: 100,  loss: 7.699719, tr_loss: 8.762991, G_loss: 0.000048
Train iter: 200,  loss: 7.481137, tr_loss: 16.713560, G_loss: 0.000047
Train iter: 300,  loss: 8.370740, tr_loss: 7.197477, G_loss: 0.000047
Train iter: 400,  loss: 8.167735, tr_loss: 7.042531, G_loss: 0.000048
Epoch: 62, DC: 0.7463, err: 80.6500
Train iter: 0,  loss: 7.030173, tr_loss: 10.025179, G_loss: 0.000044
Train iter: 100,  loss: 7.331557, tr_loss: 6.503346, G_loss: 0.000043
Train iter: 200,  loss: 6.488703, tr_loss: 14.780368, G_loss: 0.000046
Train iter: 300,  loss: 7.811516, tr_loss: 13.489346, G_loss: 0.000046
Train iter: 400,  loss: 8.006405, tr_loss: 9.751650, G_loss: 0.000047
Epoch: 63, DC: 0.7393, err: 89.6400
Train iter: 0,  loss: 7.891311, tr_loss: 9.829353, G_loss: 0.000046
Train iter: 100,  loss: 7.754121, tr_loss: 8.024106, G_loss: 0.000046
Train iter: 200,  loss: 7.579833, tr_loss: 7.394282, G_loss: 0.000047
Train iter: 300,  loss: 6.840569, tr_loss: 6.447735, G_loss: 0.000046
Train iter: 400,  loss: 7.451591, tr_loss: 12.500772, G_loss: 0.000047
Epoch: 64, DC: 0.7425, err: 88.7300
Train iter: 0,  loss: 7.524770, tr_loss: 15.494685, G_loss: 0.000046
Train iter: 100,  loss: 7.442151, tr_loss: 7.040938, G_loss: 0.000048
Train iter: 200,  loss: 7.237282, tr_loss: 6.368376, G_loss: 0.000048
Train iter: 300,  loss: 7.884315, tr_loss: 7.642786, G_loss: 0.000048
Train iter: 400,  loss: 6.890627, tr_loss: 6.325077, G_loss: 0.000049
Epoch: 65, DC: 0.7364, err: 89.1300
Train iter: 0,  loss: 7.327494, tr_loss: 8.077978, G_loss: 0.000047
Train iter: 100,  loss: 6.825253, tr_loss: 7.436691, G_loss: 0.000046
Train iter: 200,  loss: 7.196019, tr_loss: 7.582705, G_loss: 0.000047
Train iter: 300,  loss: 6.989713, tr_loss: 7.894996, G_loss: 0.000047
Train iter: 400,  loss: 7.904001, tr_loss: 8.109440, G_loss: 0.000046
Epoch: 66, DC: 0.7459, err: 84.5600
Train iter: 0,  loss: 8.071054, tr_loss: 8.013303, G_loss: 0.000046
Train iter: 100,  loss: 7.490495, tr_loss: 7.797512, G_loss: 0.000046
Train iter: 200,  loss: 7.812304, tr_loss: 7.351617, G_loss: 0.000048
Train iter: 300,  loss: 8.182188, tr_loss: 7.378051, G_loss: 0.000048
Train iter: 400,  loss: 7.857212, tr_loss: 24.924889, G_loss: 0.000048
Epoch: 67, DC: 0.7495, err: 89.6700
Train iter: 0,  loss: 8.725488, tr_loss: 6.647526, G_loss: 0.000048
Train iter: 100,  loss: 7.478906, tr_loss: 6.824840, G_loss: 0.000050
Train iter: 200,  loss: 7.726218, tr_loss: 6.158152, G_loss: 0.000044
Train iter: 300,  loss: 7.571146, tr_loss: 6.972931, G_loss: 0.000047
Train iter: 400,  loss: 6.847949, tr_loss: 12.865671, G_loss: 0.000049
Epoch: 68, DC: 0.7414, err: 82.2300
Train iter: 0,  loss: 8.112432, tr_loss: 17.492085, G_loss: 0.000049
Train iter: 100,  loss: 7.411387, tr_loss: 6.117437, G_loss: 0.000050
Train iter: 200,  loss: 7.575529, tr_loss: 7.330952, G_loss: 0.000048
Train iter: 300,  loss: 7.665499, tr_loss: 8.041964, G_loss: 0.000047
Train iter: 400,  loss: 7.398961, tr_loss: 14.674999, G_loss: 0.000049
Epoch: 69, DC: 0.7468, err: 89.9200
Train iter: 0,  loss: 7.784776, tr_loss: 6.449720, G_loss: 0.000048
Train iter: 100,  loss: 7.755313, tr_loss: 8.626174, G_loss: 0.000047
Train iter: 200,  loss: 7.692613, tr_loss: 7.222781, G_loss: 0.000047
Train iter: 300,  loss: 7.483991, tr_loss: 7.443335, G_loss: 0.000048
Train iter: 400,  loss: 7.559292, tr_loss: 7.264376, G_loss: 0.000049
Epoch: 70, DC: 0.7489, err: 85.6900
Train iter: 0,  loss: 7.602817, tr_loss: 6.454141, G_loss: 0.000049
Train iter: 100,  loss: 8.547333, tr_loss: 8.352971, G_loss: 0.000040
Train iter: 200,  loss: 9.527219, tr_loss: 8.305861, G_loss: 0.000044
Train iter: 300,  loss: 8.593222, tr_loss: 9.740231, G_loss: 0.000046
Train iter: 400,  loss: 7.749581, tr_loss: 7.257236, G_loss: 0.000047
Epoch: 71, DC: 0.7280, err: 89.5700
Train iter: 0,  loss: 8.096229, tr_loss: 6.986217, G_loss: 0.000047
Train iter: 100,  loss: 8.495129, tr_loss: 6.784669, G_loss: 0.000045
Train iter: 200,  loss: 7.480187, tr_loss: 8.696169, G_loss: 0.000045
Train iter: 300,  loss: 8.252248, tr_loss: 6.995975, G_loss: 0.000047
Train iter: 400,  loss: 7.491176, tr_loss: 8.464579, G_loss: 0.000048
Epoch: 72, DC: 0.7460, err: 88.5000
Train iter: 0,  loss: 7.987939, tr_loss: 9.397993, G_loss: 0.000048
Train iter: 100,  loss: 7.075343, tr_loss: 7.279805, G_loss: 0.000046
Train iter: 200,  loss: 7.672110, tr_loss: 7.484752, G_loss: 0.000047
Train iter: 300,  loss: 7.676307, tr_loss: 6.527814, G_loss: 0.000046
Train iter: 400,  loss: 7.083203, tr_loss: 7.711727, G_loss: 0.000047
Epoch: 73, DC: 0.7342, err: 89.7400
Train iter: 0,  loss: 8.300984, tr_loss: 7.168378, G_loss: 0.000046
Train iter: 100,  loss: 7.492333, tr_loss: 6.465390, G_loss: 0.000049
Train iter: 200,  loss: 7.312930, tr_loss: 9.077592, G_loss: 0.000047
Train iter: 300,  loss: 6.986988, tr_loss: 6.335601, G_loss: 0.000049
Train iter: 400,  loss: 7.558650, tr_loss: 6.608531, G_loss: 0.000047
Epoch: 74, DC: 0.7406, err: 87.1300
Train iter: 0,  loss: 7.701424, tr_loss: 7.329983, G_loss: 0.000049
Train iter: 100,  loss: 7.370365, tr_loss: 7.596008, G_loss: 0.000047
Train iter: 200,  loss: 7.436370, tr_loss: 5.885324, G_loss: 0.000048
Train iter: 300,  loss: 7.219165, tr_loss: 5.980541, G_loss: 0.000049
Train iter: 400,  loss: 6.665122, tr_loss: 6.138121, G_loss: 0.000048
Epoch: 75, DC: 0.7412, err: 89.4600
Train iter: 0,  loss: 6.817473, tr_loss: 7.289927, G_loss: 0.000048
Train iter: 100,  loss: 7.219415, tr_loss: 7.976365, G_loss: 0.000048
Train iter: 200,  loss: 8.473975, tr_loss: 7.020169, G_loss: 0.000048
Train iter: 300,  loss: 7.865296, tr_loss: 8.348244, G_loss: 0.000048
Train iter: 400,  loss: 7.132243, tr_loss: 6.318484, G_loss: 0.000049
Epoch: 76, DC: 0.7380, err: 89.6200
Train iter: 0,  loss: 7.311176, tr_loss: 8.062525, G_loss: 0.000050
Train iter: 100,  loss: 6.929781, tr_loss: 6.493117, G_loss: 0.000049
Train iter: 200,  loss: 7.114824, tr_loss: 6.971120, G_loss: 0.000048
Train iter: 300,  loss: 7.678538, tr_loss: 6.953062, G_loss: 0.000049
Train iter: 400,  loss: 7.620942, tr_loss: 13.674035, G_loss: 0.000049
Epoch: 77, DC: 0.7124, err: 89.9900
Train iter: 0,  loss: 7.997053, tr_loss: 9.603065, G_loss: 0.000047
Train iter: 100,  loss: 5.959801, tr_loss: 6.614154, G_loss: 0.000047
Train iter: 200,  loss: 7.540666, tr_loss: 7.368485, G_loss: 0.000048
Train iter: 300,  loss: 6.583965, tr_loss: 7.110229, G_loss: 0.000047
Train iter: 400,  loss: 6.773630, tr_loss: 6.886815, G_loss: 0.000049
Epoch: 78, DC: 0.7399, err: 89.9400
Train iter: 0,  loss: 7.791656, tr_loss: 7.302628, G_loss: 0.000051
Train iter: 100,  loss: 6.964987, tr_loss: 7.165804, G_loss: 0.000045
Train iter: 200,  loss: 7.557956, tr_loss: 9.427588, G_loss: 0.000048
Train iter: 300,  loss: 8.046026, tr_loss: 13.899715, G_loss: 0.000049
Train iter: 400,  loss: 7.835396, tr_loss: 6.409011, G_loss: 0.000049
Epoch: 79, DC: 0.7320, err: 89.7100
Train iter: 0,  loss: 6.913479, tr_loss: 6.455301, G_loss: 0.000047
Train iter: 100,  loss: 6.869578, tr_loss: 10.934643, G_loss: 0.000051
Train iter: 200,  loss: 6.949900, tr_loss: 7.587086, G_loss: 0.000049
Train iter: 300,  loss: 7.262127, tr_loss: 9.923061, G_loss: 0.000048
Train iter: 400,  loss: 7.513134, tr_loss: 6.221189, G_loss: 0.000048
Epoch: 80, DC: 0.7453, err: 89.5100
Train iter: 0,  loss: 7.266889, tr_loss: 5.644120, G_loss: 0.000050
Train iter: 100,  loss: 6.873739, tr_loss: 7.223716, G_loss: 0.000048
Train iter: 200,  loss: 6.810363, tr_loss: 6.984740, G_loss: 0.000047
Train iter: 300,  loss: 7.107292, tr_loss: 8.215593, G_loss: 0.000049
Train iter: 400,  loss: 6.953164, tr_loss: 6.573683, G_loss: 0.000049
Epoch: 81, DC: 0.7449, err: 87.2400
Train iter: 0,  loss: 7.228577, tr_loss: 8.075021, G_loss: 0.000049
Train iter: 100,  loss: 7.216057, tr_loss: 6.209516, G_loss: 0.000049
Train iter: 200,  loss: 7.489581, tr_loss: 7.867937, G_loss: 0.000049
Train iter: 300,  loss: 8.380823, tr_loss: 7.019610, G_loss: 0.000049
Train iter: 400,  loss: 7.412708, tr_loss: 6.766974, G_loss: 0.000049
Epoch: 82, DC: 0.7411, err: 89.9500
Train iter: 0,  loss: 8.217368, tr_loss: 7.449409, G_loss: 0.000049
Train iter: 100,  loss: 7.152427, tr_loss: 6.928150, G_loss: 0.000050
Train iter: 200,  loss: 6.959488, tr_loss: 6.824123, G_loss: 0.000050
Train iter: 300,  loss: 6.789406, tr_loss: 7.973076, G_loss: 0.000049
Train iter: 400,  loss: 6.738903, tr_loss: 7.507392, G_loss: 0.000050
Epoch: 83, DC: 0.7470, err: 89.9000
Train iter: 0,  loss: 6.789802, tr_loss: 5.979172, G_loss: 0.000051
Train iter: 100,  loss: 6.963504, tr_loss: 12.411671, G_loss: 0.000049
Train iter: 200,  loss: 7.587301, tr_loss: 7.169358, G_loss: 0.000051
Train iter: 300,  loss: 7.616657, tr_loss: 7.326418, G_loss: 0.000051
Train iter: 400,  loss: 6.594363, tr_loss: 6.869977, G_loss: 0.000050
Epoch: 84, DC: 0.7584, err: 90.0200
Train iter: 0,  loss: 7.357719, tr_loss: 6.142911, G_loss: 0.000050
Train iter: 100,  loss: 7.686046, tr_loss: 6.589697, G_loss: 0.000048
Train iter: 200,  loss: 7.193858, tr_loss: 7.369283, G_loss: 0.000048
Train iter: 300,  loss: 7.235826, tr_loss: 13.190307, G_loss: 0.000051
Train iter: 400,  loss: 7.133167, tr_loss: 6.407121, G_loss: 0.000049
Epoch: 85, DC: 0.7612, err: 89.9600
Train iter: 0,  loss: 7.592588, tr_loss: 11.975927, G_loss: 0.000050
Train iter: 100,  loss: 7.150627, tr_loss: 6.219292, G_loss: 0.000049
Train iter: 200,  loss: 6.720197, tr_loss: 6.292082, G_loss: 0.000049
Train iter: 300,  loss: 6.069647, tr_loss: 7.772124, G_loss: 0.000050
Train iter: 400,  loss: 6.471775, tr_loss: 7.079566, G_loss: 0.000053
Epoch: 86, DC: 0.7557, err: 89.9700
Train iter: 0,  loss: 6.792461, tr_loss: 7.378997, G_loss: 0.000053
Train iter: 100,  loss: 6.955168, tr_loss: 5.809377, G_loss: 0.000049
Train iter: 200,  loss: 8.338457, tr_loss: 7.969867, G_loss: 0.000043
Train iter: 300,  loss: 6.989599, tr_loss: 7.548102, G_loss: 0.000046
Train iter: 400,  loss: 7.670199, tr_loss: 6.645094, G_loss: 0.000048
Epoch: 87, DC: 0.7563, err: 89.8900
Train iter: 0,  loss: 6.960645, tr_loss: 21.990088, G_loss: 0.000048
Train iter: 100,  loss: 7.019180, tr_loss: 6.001540, G_loss: 0.000050
Train iter: 200,  loss: 7.531354, tr_loss: 9.025018, G_loss: 0.000050
Train iter: 300,  loss: 7.755537, tr_loss: 7.211383, G_loss: 0.000051
Train iter: 400,  loss: 7.658024, tr_loss: 7.979050, G_loss: 0.000050
Epoch: 88, DC: 0.7546, err: 89.8200
Train iter: 0,  loss: 7.709531, tr_loss: 5.932909, G_loss: 0.000050
Train iter: 100,  loss: 7.936409, tr_loss: 7.782108, G_loss: 0.000049
Train iter: 200,  loss: 7.939585, tr_loss: 7.250647, G_loss: 0.000049
Train iter: 300,  loss: 7.321622, tr_loss: 6.270821, G_loss: 0.000048
Train iter: 400,  loss: 7.104392, tr_loss: 6.182597, G_loss: 0.000051
Epoch: 89, DC: 0.7437, err: 89.0000
Train iter: 0,  loss: 7.338301, tr_loss: 7.043140, G_loss: 0.000048
Train iter: 100,  loss: 7.323490, tr_loss: 6.712046, G_loss: 0.000044
Train iter: 200,  loss: 6.082434, tr_loss: 6.639248, G_loss: 0.000046
Train iter: 300,  loss: 6.798824, tr_loss: 11.354711, G_loss: 0.000049
Train iter: 400,  loss: 7.285449, tr_loss: 7.055879, G_loss: 0.000050
Epoch: 90, DC: 0.7562, err: 89.8600
Train iter: 0,  loss: 6.813449, tr_loss: 6.380378, G_loss: 0.000049
Train iter: 100,  loss: 7.513391, tr_loss: 6.342819, G_loss: 0.000050
Train iter: 200,  loss: 7.305074, tr_loss: 6.500333, G_loss: 0.000050
Train iter: 300,  loss: 7.203389, tr_loss: 6.975772, G_loss: 0.000048
Train iter: 400,  loss: 7.305645, tr_loss: 6.987009, G_loss: 0.000049
Epoch: 91, DC: 0.7515, err: 89.6300
Train iter: 0,  loss: 8.359440, tr_loss: 8.113014, G_loss: 0.000051
Train iter: 100,  loss: 7.311789, tr_loss: 6.221777, G_loss: 0.000050
Train iter: 200,  loss: 6.943871, tr_loss: 7.638062, G_loss: 0.000052
Train iter: 300,  loss: 7.677458, tr_loss: 6.919650, G_loss: 0.000051
Train iter: 400,  loss: 7.451313, tr_loss: 7.147098, G_loss: 0.000051
Epoch: 92, DC: 0.7532, err: 89.8800
Train iter: 0,  loss: 6.199510, tr_loss: 6.198404, G_loss: 0.000051
Train iter: 100,  loss: 7.953873, tr_loss: 6.908650, G_loss: 0.000048
Train iter: 200,  loss: 7.018682, tr_loss: 6.141207, G_loss: 0.000051
Train iter: 300,  loss: 6.930766, tr_loss: 6.393716, G_loss: 0.000051
Train iter: 400,  loss: 6.615643, tr_loss: 6.013009, G_loss: 0.000052
Epoch: 93, DC: 0.7528, err: 82.0900
Train iter: 0,  loss: 7.631809, tr_loss: 8.046347, G_loss: 0.000051
Train iter: 100,  loss: 7.629586, tr_loss: 7.387749, G_loss: 0.000051
Train iter: 200,  loss: 7.235784, tr_loss: 7.107365, G_loss: 0.000051
Train iter: 300,  loss: 7.039114, tr_loss: 8.693383, G_loss: 0.000051
Train iter: 400,  loss: 7.178944, tr_loss: 5.672389, G_loss: 0.000053
Epoch: 94, DC: 0.7505, err: 89.9400
Train iter: 0,  loss: 7.169033, tr_loss: 6.647206, G_loss: 0.000050
Train iter: 100,  loss: 7.235919, tr_loss: 6.157153, G_loss: 0.000052
Train iter: 200,  loss: 6.805357, tr_loss: 5.643787, G_loss: 0.000052
Train iter: 300,  loss: 6.525312, tr_loss: 7.884566, G_loss: 0.000051
Train iter: 400,  loss: 7.159050, tr_loss: 5.769084, G_loss: 0.000052
Epoch: 95, DC: 0.7633, err: 89.8900
Train iter: 0,  loss: 6.081286, tr_loss: 6.256184, G_loss: 0.000049
Train iter: 100,  loss: 6.074090, tr_loss: 7.082895, G_loss: 0.000050
Train iter: 200,  loss: 6.594458, tr_loss: 6.705841, G_loss: 0.000050
Train iter: 300,  loss: 8.027930, tr_loss: 6.878187, G_loss: 0.000051
Train iter: 400,  loss: 7.515542, tr_loss: 6.059958, G_loss: 0.000051
Epoch: 96, DC: 0.7664, err: 89.9200
Train iter: 0,  loss: 7.164677, tr_loss: 6.565835, G_loss: 0.000052
Train iter: 100,  loss: 6.925207, tr_loss: 6.206486, G_loss: 0.000050
Train iter: 200,  loss: 6.598057, tr_loss: 6.401501, G_loss: 0.000049
Train iter: 300,  loss: 6.747629, tr_loss: 8.106211, G_loss: 0.000050
Train iter: 400,  loss: 7.520806, tr_loss: 7.263635, G_loss: 0.000052
Epoch: 97, DC: 0.7583, err: 85.8600
Train iter: 0,  loss: 6.648220, tr_loss: 6.587315, G_loss: 0.000049
Train iter: 100,  loss: 6.858790, tr_loss: 8.585362, G_loss: 0.000049
Train iter: 200,  loss: 5.635340, tr_loss: 7.255650, G_loss: 0.000050
Train iter: 300,  loss: 6.269253, tr_loss: 10.498793, G_loss: 0.000051
Train iter: 400,  loss: 6.684341, tr_loss: 5.580726, G_loss: 0.000049
Epoch: 98, DC: 0.7621, err: 89.9300
Train iter: 0,  loss: 6.867076, tr_loss: 11.107265, G_loss: 0.000050
Train iter: 100,  loss: 7.226617, tr_loss: 6.473561, G_loss: 0.000052
Train iter: 200,  loss: 6.904736, tr_loss: 6.087802, G_loss: 0.000052
Train iter: 300,  loss: 6.913363, tr_loss: 5.892676, G_loss: 0.000051
Train iter: 400,  loss: 6.612386, tr_loss: 6.389227, G_loss: 0.000052
Epoch: 99, DC: 0.7468, err: 89.8200
Train iter: 0,  loss: 7.542168, tr_loss: 7.227574, G_loss: 0.000047
Train iter: 100,  loss: 7.545319, tr_loss: 6.335420, G_loss: 0.000048
Train iter: 200,  loss: 7.051100, tr_loss: 5.844240, G_loss: 0.000050
Train iter: 300,  loss: 7.486817, tr_loss: 7.201715, G_loss: 0.000049
Train iter: 400,  loss: 7.192881, tr_loss: 6.620546, G_loss: 0.000051
Epoch: 100, DC: 0.7529, err: 89.9400
Train iter: 0,  loss: 7.577312, tr_loss: 6.735272, G_loss: 0.000048
Train iter: 100,  loss: 6.730113, tr_loss: 6.925423, G_loss: 0.000051
Train iter: 200,  loss: 7.044382, tr_loss: 5.913428, G_loss: 0.000051
Train iter: 300,  loss: 7.063254, tr_loss: 5.741407, G_loss: 0.000051
Train iter: 400,  loss: 6.931852, tr_loss: 5.569768, G_loss: 0.000052
Epoch: 101, DC: 0.7642, err: 89.9300
Train iter: 0,  loss: 7.622628, tr_loss: 5.920799, G_loss: 0.000053
Train iter: 100,  loss: 7.477620, tr_loss: 12.016100, G_loss: 0.000051
Train iter: 200,  loss: 7.144048, tr_loss: 6.723012, G_loss: 0.000051
Train iter: 300,  loss: 7.026971, tr_loss: 5.795413, G_loss: 0.000049
Train iter: 400,  loss: 7.424917, tr_loss: 6.332089, G_loss: 0.000049
Epoch: 102, DC: 0.7563, err: 89.9700
Train iter: 0,  loss: 7.728273, tr_loss: 6.928946, G_loss: 0.000050
Train iter: 100,  loss: 8.629182, tr_loss: 5.701435, G_loss: 0.000050
Train iter: 200,  loss: 7.849375, tr_loss: 6.790730, G_loss: 0.000050
Train iter: 300,  loss: 7.210715, tr_loss: 6.180396, G_loss: 0.000050
Train iter: 400,  loss: 7.219970, tr_loss: 6.318457, G_loss: 0.000051
Epoch: 103, DC: 0.7638, err: 89.7200
Train iter: 0,  loss: 6.629543, tr_loss: 7.826739, G_loss: 0.000050
Train iter: 100,  loss: 8.102896, tr_loss: 6.434298, G_loss: 0.000050
Train iter: 200,  loss: 7.851566, tr_loss: 7.167028, G_loss: 0.000051
Train iter: 300,  loss: 6.950411, tr_loss: 8.392012, G_loss: 0.000051
Train iter: 400,  loss: 7.647972, tr_loss: 15.169821, G_loss: 0.000050
Epoch: 104, DC: 0.7564, err: 89.7500
Train iter: 0,  loss: 7.756529, tr_loss: 6.477077, G_loss: 0.000049
Train iter: 100,  loss: 6.804338, tr_loss: 7.791039, G_loss: 0.000047
Train iter: 200,  loss: 7.967739, tr_loss: 6.241383, G_loss: 0.000049
Train iter: 300,  loss: 7.314099, tr_loss: 7.156363, G_loss: 0.000050
Train iter: 400,  loss: 8.016933, tr_loss: 7.592846, G_loss: 0.000050
Epoch: 105, DC: 0.7561, err: 89.9900
Train iter: 0,  loss: 7.688962, tr_loss: 6.837663, G_loss: 0.000049
Train iter: 100,  loss: 7.456913, tr_loss: 6.692637, G_loss: 0.000049
Train iter: 200,  loss: 6.884256, tr_loss: 6.707696, G_loss: 0.000051
Train iter: 300,  loss: 7.888387, tr_loss: 6.374110, G_loss: 0.000050
Train iter: 400,  loss: 7.114830, tr_loss: 7.060333, G_loss: 0.000050
Epoch: 106, DC: 0.7503, err: 90.2200
Train iter: 0,  loss: 7.203917, tr_loss: 6.724350, G_loss: 0.000049
Train iter: 100,  loss: 8.033411, tr_loss: 6.323225, G_loss: 0.000048
Train iter: 200,  loss: 7.506950, tr_loss: 5.794412, G_loss: 0.000049
Train iter: 300,  loss: 6.930023, tr_loss: 8.693832, G_loss: 0.000049
Train iter: 400,  loss: 7.104838, tr_loss: 6.372962, G_loss: 0.000048
Epoch: 107, DC: 0.7460, err: 89.9800
Train iter: 0,  loss: 7.101289, tr_loss: 6.372633, G_loss: 0.000049
Train iter: 100,  loss: 6.594463, tr_loss: 10.678536, G_loss: 0.000050
Train iter: 200,  loss: 7.436942, tr_loss: 8.665123, G_loss: 0.000050
Train iter: 300,  loss: 8.619642, tr_loss: 6.845341, G_loss: 0.000050
Train iter: 400,  loss: 7.827377, tr_loss: 5.975343, G_loss: 0.000051
Epoch: 108, DC: 0.7544, err: 89.9200
Train iter: 0,  loss: 8.173391, tr_loss: 7.042644, G_loss: 0.000050
Train iter: 100,  loss: 7.521118, tr_loss: 7.221508, G_loss: 0.000049
Train iter: 200,  loss: 7.361578, tr_loss: 5.849766, G_loss: 0.000049
Train iter: 300,  loss: 8.600607, tr_loss: 6.571780, G_loss: 0.000049
Train iter: 400,  loss: 8.174685, tr_loss: 6.302346, G_loss: 0.000048
Epoch: 109, DC: 0.7628, err: 89.8900
Train iter: 0,  loss: 7.071020, tr_loss: 9.122069, G_loss: 0.000050
Train iter: 100,  loss: 7.932453, tr_loss: 5.843943, G_loss: 0.000050
Train iter: 200,  loss: 7.161666, tr_loss: 5.723775, G_loss: 0.000052
Train iter: 300,  loss: 7.669744, tr_loss: 6.344183, G_loss: 0.000051
Train iter: 400,  loss: 7.304792, tr_loss: 6.342993, G_loss: 0.000051
Epoch: 110, DC: 0.7242, err: 89.9000
Train iter: 0,  loss: 7.351338, tr_loss: 6.321982, G_loss: 0.000052
Train iter: 100,  loss: 6.930736, tr_loss: 9.704891, G_loss: 0.000049
Train iter: 200,  loss: 7.707366, tr_loss: 5.994731, G_loss: 0.000051
Train iter: 300,  loss: 7.515728, tr_loss: 5.591500, G_loss: 0.000049
Train iter: 400,  loss: 7.435262, tr_loss: 6.895899, G_loss: 0.000049
Epoch: 111, DC: 0.7601, err: 89.9600
Train iter: 0,  loss: 7.068647, tr_loss: 7.105997, G_loss: 0.000052
Train iter: 100,  loss: 6.517442, tr_loss: 5.474000, G_loss: 0.000050
Train iter: 200,  loss: 7.210643, tr_loss: 5.758979, G_loss: 0.000050
Train iter: 300,  loss: 7.110268, tr_loss: 6.156678, G_loss: 0.000050
Train iter: 400,  loss: 6.931335, tr_loss: 5.576547, G_loss: 0.000050
Epoch: 112, DC: 0.7621, err: 89.9100
Train iter: 0,  loss: 7.167790, tr_loss: 6.018380, G_loss: 0.000051
Train iter: 100,  loss: 6.989734, tr_loss: 5.492793, G_loss: 0.000051
Train iter: 200,  loss: 6.432525, tr_loss: 6.209909, G_loss: 0.000052
Train iter: 300,  loss: 7.531009, tr_loss: 6.708889, G_loss: 0.000050
Train iter: 400,  loss: 7.404104, tr_loss: 6.334552, G_loss: 0.000049
Epoch: 113, DC: 0.7642, err: 89.9500
Train iter: 0,  loss: 7.064799, tr_loss: 10.027792, G_loss: 0.000053
Train iter: 100,  loss: 7.544755, tr_loss: 6.778555, G_loss: 0.000050
Train iter: 200,  loss: 7.363726, tr_loss: 6.194016, G_loss: 0.000047
Train iter: 300,  loss: 7.759891, tr_loss: 6.630679, G_loss: 0.000048
Train iter: 400,  loss: 7.267101, tr_loss: 6.631239, G_loss: 0.000050
Epoch: 114, DC: 0.7606, err: 89.9900
Train iter: 0,  loss: 7.390676, tr_loss: 5.362262, G_loss: 0.000051
Train iter: 100,  loss: 7.694483, tr_loss: 6.706841, G_loss: 0.000049
Train iter: 200,  loss: 7.196497, tr_loss: 5.957678, G_loss: 0.000050
Train iter: 300,  loss: 7.115271, tr_loss: 6.052390, G_loss: 0.000051
Train iter: 400,  loss: 7.537509, tr_loss: 6.601545, G_loss: 0.000048
Epoch: 115, DC: 0.7541, err: 89.9300
Train iter: 0,  loss: 7.885021, tr_loss: 8.113933, G_loss: 0.000050
Train iter: 100,  loss: 6.759628, tr_loss: 6.890285, G_loss: 0.000051
Train iter: 200,  loss: 8.150660, tr_loss: 6.084198, G_loss: 0.000050
Train iter: 300,  loss: 7.534304, tr_loss: 8.943240, G_loss: 0.000051
Train iter: 400,  loss: 8.193210, tr_loss: 5.835008, G_loss: 0.000051
Epoch: 116, DC: 0.7608, err: 89.9500
Train iter: 0,  loss: 7.395570, tr_loss: 11.944270, G_loss: 0.000050
Train iter: 100,  loss: 8.280672, tr_loss: 8.752619, G_loss: 0.000048
Train iter: 200,  loss: 7.736426, tr_loss: 5.927989, G_loss: 0.000050
Train iter: 300,  loss: 7.866642, tr_loss: 5.769942, G_loss: 0.000050
Train iter: 400,  loss: 7.359306, tr_loss: 5.693600, G_loss: 0.000049
Epoch: 117, DC: 0.7588, err: 89.9500
Train iter: 0,  loss: 7.689368, tr_loss: 10.951523, G_loss: 0.000049
Train iter: 100,  loss: 7.052514, tr_loss: 5.484216, G_loss: 0.000050
Train iter: 200,  loss: 6.598021, tr_loss: 6.416060, G_loss: 0.000051
Train iter: 300,  loss: 8.216559, tr_loss: 7.962603, G_loss: 0.000047
Train iter: 400,  loss: 8.080218, tr_loss: 7.057140, G_loss: 0.000049
Epoch: 118, DC: 0.7532, err: 89.9300
Train iter: 0,  loss: 7.911693, tr_loss: 6.596416, G_loss: 0.000048
Train iter: 100,  loss: 8.179965, tr_loss: 6.924795, G_loss: 0.000049
Train iter: 200,  loss: 7.561498, tr_loss: 6.234292, G_loss: 0.000050
Train iter: 300,  loss: 6.960340, tr_loss: 6.224691, G_loss: 0.000049
Train iter: 400,  loss: 6.660724, tr_loss: 5.687529, G_loss: 0.000049
Epoch: 119, DC: 0.7537, err: 89.9500
Train iter: 0,  loss: 7.476741, tr_loss: 6.289725, G_loss: 0.000049
Train iter: 100,  loss: 7.139441, tr_loss: 6.017224, G_loss: 0.000049
Train iter: 200,  loss: 6.897572, tr_loss: 6.169600, G_loss: 0.000051
Train iter: 300,  loss: 7.206708, tr_loss: 7.011611, G_loss: 0.000050
Train iter: 400,  loss: 7.194276, tr_loss: 5.650363, G_loss: 0.000049
Epoch: 120, DC: 0.7587, err: 90.0000
Train iter: 0,  loss: 7.229448, tr_loss: 6.850378, G_loss: 0.000050
Train iter: 100,  loss: 7.403183, tr_loss: 6.731480, G_loss: 0.000050
Train iter: 200,  loss: 7.674438, tr_loss: 16.034864, G_loss: 0.000045
Train iter: 300,  loss: 7.917317, tr_loss: 6.571890, G_loss: 0.000047
Train iter: 400,  loss: 8.129673, tr_loss: 13.435707, G_loss: 0.000048
Epoch: 121, DC: 0.7563, err: 89.9700
Train iter: 0,  loss: 7.734324, tr_loss: 6.129826, G_loss: 0.000048
Train iter: 100,  loss: 6.658085, tr_loss: 6.834445, G_loss: 0.000047
Train iter: 200,  loss: 7.159179, tr_loss: 5.898488, G_loss: 0.000048
Train iter: 300,  loss: 7.773653, tr_loss: 6.485528, G_loss: 0.000050
Train iter: 400,  loss: 7.123937, tr_loss: 5.672895, G_loss: 0.000049
Epoch: 122, DC: 0.7622, err: 89.9600
Train iter: 0,  loss: 7.489317, tr_loss: 6.309267, G_loss: 0.000050
Train iter: 100,  loss: 7.736542, tr_loss: 8.280137, G_loss: 0.000048
Train iter: 200,  loss: 7.497519, tr_loss: 6.131288, G_loss: 0.000049
Train iter: 300,  loss: 7.901293, tr_loss: 6.091150, G_loss: 0.000047
Train iter: 400,  loss: 7.271548, tr_loss: 5.615144, G_loss: 0.000048
Epoch: 123, DC: 0.7595, err: 89.9500
Train iter: 0,  loss: 7.895772, tr_loss: 7.278651, G_loss: 0.000049
Train iter: 100,  loss: 7.026476, tr_loss: 5.511023, G_loss: 0.000048
Train iter: 200,  loss: 7.626309, tr_loss: 6.639803, G_loss: 0.000048
Train iter: 300,  loss: 7.469850, tr_loss: 7.066912, G_loss: 0.000047
Train iter: 400,  loss: 7.494485, tr_loss: 6.321688, G_loss: 0.000047
Epoch: 124, DC: 0.7548, err: 89.9500
Train iter: 0,  loss: 7.646579, tr_loss: 6.487400, G_loss: 0.000047
Train iter: 100,  loss: 7.357984, tr_loss: 7.519757, G_loss: 0.000049
Train iter: 200,  loss: 6.511297, tr_loss: 5.663679, G_loss: 0.000050
Train iter: 300,  loss: 6.714697, tr_loss: 6.063818, G_loss: 0.000051
Train iter: 400,  loss: 7.131725, tr_loss: 6.106857, G_loss: 0.000052
Epoch: 125, DC: 0.7530, err: 89.9800
Train iter: 0,  loss: 7.102030, tr_loss: 6.702982, G_loss: 0.000051
Train iter: 100,  loss: 6.986357, tr_loss: 6.491970, G_loss: 0.000051
Train iter: 200,  loss: 6.963548, tr_loss: 5.887468, G_loss: 0.000051
Train iter: 300,  loss: 7.233725, tr_loss: 7.003439, G_loss: 0.000051
Train iter: 400,  loss: 7.410645, tr_loss: 6.018038, G_loss: 0.000049
Epoch: 126, DC: 0.7534, err: 89.9200
Train iter: 0,  loss: 6.849211, tr_loss: 6.447277, G_loss: 0.000050
Train iter: 100,  loss: 6.855287, tr_loss: 5.846993, G_loss: 0.000051
Train iter: 200,  loss: 6.449748, tr_loss: 5.842294, G_loss: 0.000050
Train iter: 300,  loss: 7.136543, tr_loss: 5.618850, G_loss: 0.000051
Train iter: 400,  loss: 6.726548, tr_loss: 5.935147, G_loss: 0.000050
Epoch: 127, DC: 0.7559, err: 89.9700
Train iter: 0,  loss: 7.258997, tr_loss: 5.844668, G_loss: 0.000052
Train iter: 100,  loss: 6.406495, tr_loss: 7.136309, G_loss: 0.000051
Train iter: 200,  loss: 6.847935, tr_loss: 7.695386, G_loss: 0.000046
Train iter: 300,  loss: 6.967127, tr_loss: 6.251905, G_loss: 0.000048
Train iter: 400,  loss: 6.662695, tr_loss: 5.990356, G_loss: 0.000049
Epoch: 128, DC: 0.7506, err: 89.8700
Train iter: 0,  loss: 7.430440, tr_loss: 5.929323, G_loss: 0.000052
Train iter: 100,  loss: 7.649667, tr_loss: 5.731028, G_loss: 0.000051
Train iter: 200,  loss: 7.051788, tr_loss: 6.008447, G_loss: 0.000049
Train iter: 300,  loss: 6.560299, tr_loss: 6.303481, G_loss: 0.000051
Train iter: 400,  loss: 8.046766, tr_loss: 12.609328, G_loss: 0.000051
Epoch: 129, DC: 0.7541, err: 89.9100
Train iter: 0,  loss: 6.984950, tr_loss: 5.700337, G_loss: 0.000050
Train iter: 100,  loss: 7.219652, tr_loss: 13.823036, G_loss: 0.000051
Train iter: 200,  loss: 7.451364, tr_loss: 7.173190, G_loss: 0.000051
Train iter: 300,  loss: 7.344207, tr_loss: 5.647199, G_loss: 0.000050
Train iter: 400,  loss: 6.875696, tr_loss: 7.164729, G_loss: 0.000049
Epoch: 130, DC: 0.7509, err: 89.9600
Train iter: 0,  loss: 7.390108, tr_loss: 6.609995, G_loss: 0.000053
Train iter: 100,  loss: 6.908445, tr_loss: 5.389562, G_loss: 0.000051
Train iter: 200,  loss: 7.333008, tr_loss: 5.441617, G_loss: 0.000051
Train iter: 300,  loss: 6.742387, tr_loss: 7.103361, G_loss: 0.000052
Train iter: 400,  loss: 6.812773, tr_loss: 8.001572, G_loss: 0.000052
Epoch: 131, DC: 0.7505, err: 89.9400
Train iter: 0,  loss: 6.397902, tr_loss: 6.454026, G_loss: 0.000050
Train iter: 100,  loss: 7.236237, tr_loss: 5.554829, G_loss: 0.000051
Train iter: 200,  loss: 6.646540, tr_loss: 7.340045, G_loss: 0.000052
Train iter: 300,  loss: 6.811662, tr_loss: 12.194820, G_loss: 0.000051
Train iter: 400,  loss: 6.382981, tr_loss: 5.692877, G_loss: 0.000051
Epoch: 132, DC: 0.7453, err: 89.9800
Train iter: 0,  loss: 6.530638, tr_loss: 6.517837, G_loss: 0.000050
Train iter: 100,  loss: 6.500328, tr_loss: 6.272888, G_loss: 0.000053
Train iter: 200,  loss: 6.328084, tr_loss: 19.052959, G_loss: 0.000051
Train iter: 300,  loss: 7.531826, tr_loss: 7.916124, G_loss: 0.000050
Train iter: 400,  loss: 7.075860, tr_loss: 5.753222, G_loss: 0.000051
Epoch: 133, DC: 0.7471, err: 89.9600
Train iter: 0,  loss: 6.585147, tr_loss: 5.688571, G_loss: 0.000051
Train iter: 100,  loss: 7.421748, tr_loss: 6.425904, G_loss: 0.000051
Train iter: 200,  loss: 7.472252, tr_loss: 5.710135, G_loss: 0.000051
Train iter: 300,  loss: 6.947090, tr_loss: 6.025870, G_loss: 0.000048
Train iter: 400,  loss: 7.406285, tr_loss: 7.169190, G_loss: 0.000048
Epoch: 134, DC: 0.7260, err: 89.8900
Train iter: 0,  loss: 6.936475, tr_loss: 6.248831, G_loss: 0.000050
Train iter: 100,  loss: 7.329930, tr_loss: 8.203947, G_loss: 0.000051
Train iter: 200,  loss: 7.266932, tr_loss: 7.230913, G_loss: 0.000050
Train iter: 300,  loss: 7.545869, tr_loss: 7.575460, G_loss: 0.000050
Train iter: 400,  loss: 7.013262, tr_loss: 5.571463, G_loss: 0.000051
Epoch: 135, DC: 0.7397, err: 89.9500
Train iter: 0,  loss: 6.867710, tr_loss: 8.786071, G_loss: 0.000050
Train iter: 100,  loss: 6.936326, tr_loss: 7.152166, G_loss: 0.000050
Train iter: 200,  loss: 7.149488, tr_loss: 5.926059, G_loss: 0.000052
Train iter: 300,  loss: 6.639224, tr_loss: 6.816617, G_loss: 0.000051
Train iter: 400,  loss: 6.791895, tr_loss: 6.232713, G_loss: 0.000051
Epoch: 136, DC: 0.7429, err: 89.9500
Train iter: 0,  loss: 7.311131, tr_loss: 6.104043, G_loss: 0.000049
Train iter: 100,  loss: 7.028758, tr_loss: 5.370621, G_loss: 0.000050
Train iter: 200,  loss: 6.488460, tr_loss: 6.587010, G_loss: 0.000049
Train iter: 300,  loss: 6.638955, tr_loss: 5.505198, G_loss: 0.000050
Train iter: 400,  loss: 6.726449, tr_loss: 5.978130, G_loss: 0.000049
Epoch: 137, DC: 0.7277, err: 89.9900
Train iter: 0,  loss: 6.223380, tr_loss: 7.655752, G_loss: 0.000050
Train iter: 100,  loss: 6.399109, tr_loss: 6.263780, G_loss: 0.000051
Train iter: 200,  loss: 7.454482, tr_loss: 8.778846, G_loss: 0.000049
Train iter: 300,  loss: 7.090026, tr_loss: 6.682875, G_loss: 0.000051
Train iter: 400,  loss: 6.656941, tr_loss: 6.535258, G_loss: 0.000048
Epoch: 138, DC: 0.7430, err: 89.9600
Train iter: 0,  loss: 7.276862, tr_loss: 6.082407, G_loss: 0.000050
Train iter: 100,  loss: 6.473936, tr_loss: 6.438183, G_loss: 0.000051
Train iter: 200,  loss: 6.985920, tr_loss: 6.568250, G_loss: 0.000051
Train iter: 300,  loss: 6.681190, tr_loss: 5.856357, G_loss: 0.000050
Train iter: 400,  loss: 7.125226, tr_loss: 6.334497, G_loss: 0.000048
Epoch: 139, DC: 0.7443, err: 89.9500
Train iter: 0,  loss: 7.162215, tr_loss: 5.500612, G_loss: 0.000050
Train iter: 100,  loss: 7.140111, tr_loss: 6.963308, G_loss: 0.000049
Train iter: 200,  loss: 7.563705, tr_loss: 6.625476, G_loss: 0.000049
Train iter: 300,  loss: 7.641952, tr_loss: 6.134320, G_loss: 0.000049
Train iter: 400,  loss: 7.482788, tr_loss: 6.716513, G_loss: 0.000050
Epoch: 140, DC: 0.7353, err: 89.9800
Train iter: 0,  loss: 7.226867, tr_loss: 6.458897, G_loss: 0.000049
Train iter: 100,  loss: 7.146678, tr_loss: 5.970964, G_loss: 0.000048
Train iter: 200,  loss: 7.362861, tr_loss: 8.562143, G_loss: 0.000049
Train iter: 300,  loss: 7.547316, tr_loss: 7.012653, G_loss: 0.000050
Train iter: 400,  loss: 8.240172, tr_loss: 6.946881, G_loss: 0.000048
Epoch: 141, DC: 0.7408, err: 89.9700
Train iter: 0,  loss: 7.798101, tr_loss: 6.819034, G_loss: 0.000050
Train iter: 100,  loss: 7.354029, tr_loss: 6.217021, G_loss: 0.000050
Train iter: 200,  loss: 7.687223, tr_loss: 5.849744, G_loss: 0.000052
Train iter: 300,  loss: 7.125788, tr_loss: 5.911856, G_loss: 0.000051
Train iter: 400,  loss: 8.328611, tr_loss: 5.904014, G_loss: 0.000050
Epoch: 142, DC: 0.7337, err: 89.9900
Train iter: 0,  loss: 8.126541, tr_loss: 21.696285, G_loss: 0.000049
Train iter: 100,  loss: 7.451476, tr_loss: 6.466774, G_loss: 0.000049
Train iter: 200,  loss: 7.480758, tr_loss: 6.292230, G_loss: 0.000049
Train iter: 300,  loss: 7.811546, tr_loss: 9.726940, G_loss: 0.000051
Train iter: 400,  loss: 7.423347, tr_loss: 6.525545, G_loss: 0.000048
Epoch: 143, DC: 0.7336, err: 89.9700
Train iter: 0,  loss: 7.673248, tr_loss: 5.817094, G_loss: 0.000050
Train iter: 100,  loss: 7.911526, tr_loss: 6.256128, G_loss: 0.000049
Train iter: 200,  loss: 7.728474, tr_loss: 5.277428, G_loss: 0.000050
Train iter: 300,  loss: 7.437866, tr_loss: 5.228409, G_loss: 0.000050
Train iter: 400,  loss: 7.146985, tr_loss: 5.217945, G_loss: 0.000053
Epoch: 144, DC: 0.7314, err: 89.9300
Train iter: 0,  loss: 7.557112, tr_loss: 6.868521, G_loss: 0.000051
Train iter: 100,  loss: 7.947009, tr_loss: 6.426177, G_loss: 0.000053
Train iter: 200,  loss: 7.653334, tr_loss: 5.553976, G_loss: 0.000051
Train iter: 300,  loss: 7.732301, tr_loss: 7.391540, G_loss: 0.000049
Train iter: 400,  loss: 7.110991, tr_loss: 6.033808, G_loss: 0.000052
Epoch: 145, DC: 0.7348, err: 89.9800
Train iter: 0,  loss: 7.589363, tr_loss: 5.798319, G_loss: 0.000053
Train iter: 100,  loss: 8.212276, tr_loss: 5.979490, G_loss: 0.000051
Train iter: 200,  loss: 7.615005, tr_loss: 6.515231, G_loss: 0.000053
Train iter: 300,  loss: 7.619030, tr_loss: 5.377357, G_loss: 0.000052
Train iter: 400,  loss: 7.195128, tr_loss: 7.074424, G_loss: 0.000049
Epoch: 146, DC: 0.7339, err: 89.9900
Train iter: 0,  loss: 7.757271, tr_loss: 6.685314, G_loss: 0.000051
Train iter: 100,  loss: 7.476915, tr_loss: 5.454870, G_loss: 0.000050
Train iter: 200,  loss: 7.881066, tr_loss: 5.368395, G_loss: 0.000052
Train iter: 300,  loss: 7.512481, tr_loss: 5.790657, G_loss: 0.000049
Train iter: 400,  loss: 7.731163, tr_loss: 5.212112, G_loss: 0.000052
Epoch: 147, DC: 0.7381, err: 89.9600
Train iter: 0,  loss: 7.697857, tr_loss: 6.028659, G_loss: 0.000049
Train iter: 100,  loss: 7.629527, tr_loss: 5.772383, G_loss: 0.000052
Train iter: 200,  loss: 8.061211, tr_loss: 7.414871, G_loss: 0.000046
Train iter: 300,  loss: 7.975855, tr_loss: 6.451550, G_loss: 0.000050
Train iter: 400,  loss: 7.339333, tr_loss: 6.338990, G_loss: 0.000049
Epoch: 148, DC: 0.7289, err: 90.0100
Train iter: 0,  loss: 7.839903, tr_loss: 6.383968, G_loss: 0.000049
Train iter: 100,  loss: 7.442284, tr_loss: 6.005425, G_loss: 0.000051
Train iter: 200,  loss: 7.058160, tr_loss: 7.155994, G_loss: 0.000049
Train iter: 300,  loss: 7.509271, tr_loss: 10.139124, G_loss: 0.000051
Train iter: 400,  loss: 6.652387, tr_loss: 6.339192, G_loss: 0.000049
Epoch: 149, DC: 0.7392, err: 89.9600
Train iter: 0,  loss: 7.085525, tr_loss: 5.405329, G_loss: 0.000049
Train iter: 100,  loss: 7.312945, tr_loss: 5.894093, G_loss: 0.000050
Train iter: 200,  loss: 8.255925, tr_loss: 7.025399, G_loss: 0.000051
Train iter: 300,  loss: 7.169747, tr_loss: 7.296375, G_loss: 0.000050
Train iter: 400,  loss: 7.522671, tr_loss: 5.867572, G_loss: 0.000050
Epoch: 150, DC: 0.7382, err: 89.9600
Train iter: 0,  loss: 7.284633, tr_loss: 6.036678, G_loss: 0.000051
Train iter: 100,  loss: 7.239876, tr_loss: 5.789230, G_loss: 0.000052
Train iter: 200,  loss: 7.059796, tr_loss: 7.135042, G_loss: 0.000050
Train iter: 300,  loss: 7.630303, tr_loss: 5.746736, G_loss: 0.000052
Train iter: 400,  loss: 6.983320, tr_loss: 6.118282, G_loss: 0.000049
Epoch: 151, DC: 0.7404, err: 89.9200
Train iter: 0,  loss: 7.469474, tr_loss: 5.258948, G_loss: 0.000050
Train iter: 100,  loss: 6.707369, tr_loss: 6.200480, G_loss: 0.000050
Train iter: 200,  loss: 7.779007, tr_loss: 5.449744, G_loss: 0.000052
Train iter: 300,  loss: 7.287374, tr_loss: 6.385449, G_loss: 0.000049
Train iter: 400,  loss: 7.207846, tr_loss: 6.136162, G_loss: 0.000051
Epoch: 152, DC: 0.7407, err: 89.9700
Train iter: 0,  loss: 7.599679, tr_loss: 5.642889, G_loss: 0.000049
Train iter: 100,  loss: 7.244233, tr_loss: 6.683126, G_loss: 0.000051
Train iter: 200,  loss: 7.875441, tr_loss: 6.640779, G_loss: 0.000052
Train iter: 300,  loss: 7.388722, tr_loss: 5.182482, G_loss: 0.000052
Train iter: 400,  loss: 7.291429, tr_loss: 8.722628, G_loss: 0.000051
Epoch: 153, DC: 0.7340, err: 89.9700
Train iter: 0,  loss: 8.172619, tr_loss: 5.355233, G_loss: 0.000051
Train iter: 100,  loss: 7.773726, tr_loss: 5.915667, G_loss: 0.000052
Train iter: 200,  loss: 7.796005, tr_loss: 5.415860, G_loss: 0.000050
Train iter: 300,  loss: 6.880796, tr_loss: 5.793540, G_loss: 0.000053
Train iter: 400,  loss: 6.752398, tr_loss: 5.689681, G_loss: 0.000053
Epoch: 154, DC: 0.7351, err: 89.9300
Train iter: 0,  loss: 7.222985, tr_loss: 5.844670, G_loss: 0.000052
Train iter: 100,  loss: 6.958407, tr_loss: 6.547297, G_loss: 0.000052
Train iter: 200,  loss: 7.091864, tr_loss: 5.380718, G_loss: 0.000049
Train iter: 300,  loss: 7.663259, tr_loss: 6.109678, G_loss: 0.000051
Train iter: 400,  loss: 7.229548, tr_loss: 5.578290, G_loss: 0.000051
Epoch: 155, DC: 0.7353, err: 89.9900
Train iter: 0,  loss: 7.212633, tr_loss: 6.581899, G_loss: 0.000049
Train iter: 100,  loss: 7.078902, tr_loss: 8.763617, G_loss: 0.000052
Train iter: 200,  loss: 7.224460, tr_loss: 5.768500, G_loss: 0.000050
Train iter: 300,  loss: 7.098026, tr_loss: 5.979545, G_loss: 0.000052
Train iter: 400,  loss: 7.419714, tr_loss: 11.134088, G_loss: 0.000049
Epoch: 156, DC: 0.7327, err: 89.9700
Train iter: 0,  loss: 7.603674, tr_loss: 5.587458, G_loss: 0.000048
Train iter: 100,  loss: 8.042025, tr_loss: 5.915356, G_loss: 0.000051
Train iter: 200,  loss: 8.056852, tr_loss: 5.416035, G_loss: 0.000049
Train iter: 300,  loss: 7.784762, tr_loss: 5.377634, G_loss: 0.000050
Train iter: 400,  loss: 8.291917, tr_loss: 5.374843, G_loss: 0.000048
Epoch: 157, DC: 0.6931, err: 89.9600
Train iter: 0,  loss: 7.984251, tr_loss: 14.401552, G_loss: 0.000050
Train iter: 100,  loss: 7.086654, tr_loss: 7.340278, G_loss: 0.000050
Train iter: 200,  loss: 7.638060, tr_loss: 6.815270, G_loss: 0.000048
Train iter: 300,  loss: 7.187546, tr_loss: 6.556315, G_loss: 0.000048
Train iter: 400,  loss: 7.385786, tr_loss: 5.610874, G_loss: 0.000049
Epoch: 158, DC: 0.7317, err: 89.9700
Train iter: 0,  loss: 6.653738, tr_loss: 6.988918, G_loss: 0.000051
Train iter: 100,  loss: 7.513636, tr_loss: 5.931643, G_loss: 0.000051
Train iter: 200,  loss: 7.446177, tr_loss: 7.129063, G_loss: 0.000049
Train iter: 300,  loss: 6.909479, tr_loss: 6.404831, G_loss: 0.000049
Train iter: 400,  loss: 7.687961, tr_loss: 7.132748, G_loss: 0.000050
Epoch: 159, DC: 0.7330, err: 89.9100
Train iter: 0,  loss: 7.078054, tr_loss: 8.989960, G_loss: 0.000048
Train iter: 100,  loss: 8.115819, tr_loss: 6.134101, G_loss: 0.000050
Train iter: 200,  loss: 7.116969, tr_loss: 6.363333, G_loss: 0.000049
Train iter: 300,  loss: 7.623453, tr_loss: 5.495082, G_loss: 0.000050
Train iter: 400,  loss: 7.197140, tr_loss: 5.772920, G_loss: 0.000053
Epoch: 160, DC: 0.7365, err: 89.9700
Train iter: 0,  loss: 6.638277, tr_loss: 6.234718, G_loss: 0.000048
Train iter: 100,  loss: 8.385238, tr_loss: 6.370978, G_loss: 0.000050
Train iter: 200,  loss: 7.722342, tr_loss: 5.910969, G_loss: 0.000050
Train iter: 300,  loss: 7.648636, tr_loss: 5.666326, G_loss: 0.000051
Train iter: 400,  loss: 8.065633, tr_loss: 7.865181, G_loss: 0.000049
Epoch: 161, DC: 0.7304, err: 90.0000
Train iter: 0,  loss: 7.630245, tr_loss: 6.262407, G_loss: 0.000050
Train iter: 100,  loss: 8.124116, tr_loss: 5.794733, G_loss: 0.000051
Train iter: 200,  loss: 7.462497, tr_loss: 6.224638, G_loss: 0.000050
Train iter: 300,  loss: 8.148038, tr_loss: 5.693268, G_loss: 0.000050
Train iter: 400,  loss: 7.715044, tr_loss: 6.120287, G_loss: 0.000052
Epoch: 162, DC: 0.7355, err: 90.0000
Train iter: 0,  loss: 7.488099, tr_loss: 5.659214, G_loss: 0.000049
Train iter: 100,  loss: 7.459489, tr_loss: 6.048906, G_loss: 0.000049
Train iter: 200,  loss: 7.213211, tr_loss: 8.055416, G_loss: 0.000051
Train iter: 300,  loss: 7.667389, tr_loss: 7.294553, G_loss: 0.000052
Train iter: 400,  loss: 7.863911, tr_loss: 7.691914, G_loss: 0.000051
Epoch: 163, DC: 0.7262, err: 89.9900
Train iter: 0,  loss: 7.413632, tr_loss: 6.153177, G_loss: 0.000049
Train iter: 100,  loss: 8.202471, tr_loss: 6.142317, G_loss: 0.000052
Train iter: 200,  loss: 8.112686, tr_loss: 5.350973, G_loss: 0.000050
Train iter: 300,  loss: 8.100501, tr_loss: 5.451539, G_loss: 0.000048
Train iter: 400,  loss: 8.491027, tr_loss: 6.594043, G_loss: 0.000049
Epoch: 164, DC: 0.7232, err: 89.9800
Train iter: 0,  loss: 7.838157, tr_loss: 7.309299, G_loss: 0.000049
Train iter: 100,  loss: 7.663095, tr_loss: 5.969783, G_loss: 0.000049
Train iter: 200,  loss: 7.919125, tr_loss: 5.153138, G_loss: 0.000049
Train iter: 300,  loss: 7.824083, tr_loss: 6.390952, G_loss: 0.000051
Train iter: 400,  loss: 7.493927, tr_loss: 6.740243, G_loss: 0.000048
Epoch: 165, DC: 0.7199, err: 89.9800
Train iter: 0,  loss: 6.793090, tr_loss: 6.917384, G_loss: 0.000048
Train iter: 100,  loss: 7.586227, tr_loss: 5.674121, G_loss: 0.000046
Train iter: 200,  loss: 6.829808, tr_loss: 5.587321, G_loss: 0.000047
Train iter: 300,  loss: 7.789955, tr_loss: 6.139404, G_loss: 0.000049
Train iter: 400,  loss: 7.241647, tr_loss: 6.224489, G_loss: 0.000049
Epoch: 166, DC: 0.7259, err: 89.9500
Train iter: 0,  loss: 7.218922, tr_loss: 15.673303, G_loss: 0.000049
Train iter: 100,  loss: 7.682028, tr_loss: 6.277858, G_loss: 0.000051
Train iter: 200,  loss: 8.594784, tr_loss: 6.231344, G_loss: 0.000047
Train iter: 300,  loss: 8.445415, tr_loss: 6.410038, G_loss: 0.000050
Train iter: 400,  loss: 7.128157, tr_loss: 6.290207, G_loss: 0.000050
Epoch: 167, DC: 0.7315, err: 89.8800
Train iter: 0,  loss: 7.291768, tr_loss: 5.954295, G_loss: 0.000050
Train iter: 100,  loss: 8.560388, tr_loss: 5.261169, G_loss: 0.000050
Train iter: 200,  loss: 7.549024, tr_loss: 5.582376, G_loss: 0.000052
Train iter: 300,  loss: 8.024378, tr_loss: 5.737370, G_loss: 0.000051
Train iter: 400,  loss: 8.356232, tr_loss: 7.943779, G_loss: 0.000052
Epoch: 168, DC: 0.7105, err: 89.8700
Train iter: 0,  loss: 7.869263, tr_loss: 6.027308, G_loss: 0.000051
Train iter: 100,  loss: 8.366982, tr_loss: 5.824684, G_loss: 0.000049
Train iter: 200,  loss: 8.141221, tr_loss: 5.570415, G_loss: 0.000051
Train iter: 300,  loss: 7.290016, tr_loss: 5.840062, G_loss: 0.000049
Train iter: 400,  loss: 7.412738, tr_loss: 5.385242, G_loss: 0.000048
Epoch: 169, DC: 0.7268, err: 89.9100
Train iter: 0,  loss: 7.892034, tr_loss: 5.662853, G_loss: 0.000048
Train iter: 100,  loss: 8.173410, tr_loss: 5.463086, G_loss: 0.000051
Train iter: 200,  loss: 7.526744, tr_loss: 6.883647, G_loss: 0.000049
Train iter: 300,  loss: 7.989503, tr_loss: 5.232170, G_loss: 0.000050
Train iter: 400,  loss: 8.107160, tr_loss: 6.204778, G_loss: 0.000050
Epoch: 170, DC: 0.7272, err: 89.9600
Train iter: 0,  loss: 7.781745, tr_loss: 5.051311, G_loss: 0.000050
Train iter: 100,  loss: 7.993256, tr_loss: 5.122651, G_loss: 0.000050
Train iter: 200,  loss: 7.426129, tr_loss: 5.468259, G_loss: 0.000049
Train iter: 300,  loss: 7.485314, tr_loss: 7.517223, G_loss: 0.000050
Train iter: 400,  loss: 7.672739, tr_loss: 5.524356, G_loss: 0.000050
Epoch: 171, DC: 0.7220, err: 89.9900
Train iter: 0,  loss: 7.816761, tr_loss: 5.922753, G_loss: 0.000048
Train iter: 100,  loss: 8.148083, tr_loss: 7.572652, G_loss: 0.000046
Train iter: 200,  loss: 9.038559, tr_loss: 5.970503, G_loss: 0.000049
Train iter: 300,  loss: 8.274127, tr_loss: 5.605991, G_loss: 0.000047
Train iter: 400,  loss: 8.523127, tr_loss: 6.787181, G_loss: 0.000048
Epoch: 172, DC: 0.7306, err: 89.9500
Train iter: 0,  loss: 8.308149, tr_loss: 7.199463, G_loss: 0.000048
Train iter: 100,  loss: 7.628400, tr_loss: 5.734596, G_loss: 0.000048
Train iter: 200,  loss: 8.830971, tr_loss: 6.087230, G_loss: 0.000052
Train iter: 300,  loss: 7.860973, tr_loss: 31.969851, G_loss: 0.000049
Train iter: 400,  loss: 8.319502, tr_loss: 6.428244, G_loss: 0.000047
Epoch: 173, DC: 0.7255, err: 89.9300
Train iter: 0,  loss: 8.375669, tr_loss: 7.063567, G_loss: 0.000049
Train iter: 100,  loss: 7.939258, tr_loss: 5.797134, G_loss: 0.000048
Train iter: 200,  loss: 8.008378, tr_loss: 5.527460, G_loss: 0.000049
Train iter: 300,  loss: 9.113714, tr_loss: 6.567236, G_loss: 0.000051
Train iter: 400,  loss: 7.952532, tr_loss: 5.932013, G_loss: 0.000049
Epoch: 174, DC: 0.7172, err: 89.9700
Train iter: 0,  loss: 7.996095, tr_loss: 5.529703, G_loss: 0.000050
Train iter: 100,  loss: 8.259835, tr_loss: 5.800897, G_loss: 0.000048
Train iter: 200,  loss: 8.318851, tr_loss: 6.425019, G_loss: 0.000050
Train iter: 300,  loss: 8.918407, tr_loss: 5.612937, G_loss: 0.000048
Train iter: 400,  loss: 8.606945, tr_loss: 5.888179, G_loss: 0.000050
Epoch: 175, DC: 0.7237, err: 89.9600
Train iter: 0,  loss: 7.992282, tr_loss: 5.300164, G_loss: 0.000050
Train iter: 100,  loss: 8.037999, tr_loss: 6.302423, G_loss: 0.000051
Train iter: 200,  loss: 7.737779, tr_loss: 7.499029, G_loss: 0.000049
Train iter: 300,  loss: 8.846011, tr_loss: 6.140502, G_loss: 0.000049
Train iter: 400,  loss: 7.970884, tr_loss: 6.018137, G_loss: 0.000048
Epoch: 176, DC: 0.7265, err: 89.9900
Train iter: 0,  loss: 7.779849, tr_loss: 8.255576, G_loss: 0.000048
Train iter: 100,  loss: 8.329648, tr_loss: 6.122825, G_loss: 0.000050
Train iter: 200,  loss: 8.340056, tr_loss: 4.810072, G_loss: 0.000051
Train iter: 300,  loss: 7.631246, tr_loss: 5.385826, G_loss: 0.000048
Train iter: 400,  loss: 7.765295, tr_loss: 7.711063, G_loss: 0.000050
Epoch: 177, DC: 0.7288, err: 89.9600
Train iter: 0,  loss: 8.399096, tr_loss: 7.109777, G_loss: 0.000046
Train iter: 100,  loss: 8.789149, tr_loss: 6.148649, G_loss: 0.000045
Train iter: 200,  loss: 8.131563, tr_loss: 6.083273, G_loss: 0.000047
Train iter: 300,  loss: 7.697981, tr_loss: 5.496963, G_loss: 0.000047
Train iter: 400,  loss: 8.360841, tr_loss: 6.128200, G_loss: 0.000049
Epoch: 178, DC: 0.7307, err: 90.0000
Train iter: 0,  loss: 8.664266, tr_loss: 6.144851, G_loss: 0.000048
Train iter: 100,  loss: 8.425079, tr_loss: 5.632086, G_loss: 0.000046
Train iter: 200,  loss: 7.241983, tr_loss: 5.338774, G_loss: 0.000049
Train iter: 300,  loss: 8.280486, tr_loss: 5.644532, G_loss: 0.000049
Train iter: 400,  loss: 7.880591, tr_loss: 5.421378, G_loss: 0.000049
Epoch: 179, DC: 0.7083, err: 89.9600
Train iter: 0,  loss: 8.089577, tr_loss: 6.688150, G_loss: 0.000048
Train iter: 100,  loss: 7.925617, tr_loss: 6.285560, G_loss: 0.000047
Train iter: 200,  loss: 7.490183, tr_loss: 6.533557, G_loss: 0.000047
Train iter: 300,  loss: 7.998031, tr_loss: 6.396551, G_loss: 0.000047
Train iter: 400,  loss: 8.367864, tr_loss: 5.823861, G_loss: 0.000050
Epoch: 180, DC: 0.7292, err: 89.9300
Train iter: 0,  loss: 7.660002, tr_loss: 5.520551, G_loss: 0.000050
Train iter: 100,  loss: 7.932619, tr_loss: 5.973567, G_loss: 0.000049
Train iter: 200,  loss: 7.930412, tr_loss: 5.273105, G_loss: 0.000050
Train iter: 300,  loss: 7.733103, tr_loss: 5.647593, G_loss: 0.000051
Train iter: 400,  loss: 7.573822, tr_loss: 5.617292, G_loss: 0.000050
Epoch: 181, DC: 0.7289, err: 89.9800
Train iter: 0,  loss: 7.944023, tr_loss: 5.921757, G_loss: 0.000050
Train iter: 100,  loss: 7.058949, tr_loss: 9.024046, G_loss: 0.000050
Train iter: 200,  loss: 7.840934, tr_loss: 6.020041, G_loss: 0.000048
Train iter: 300,  loss: 7.668903, tr_loss: 6.087031, G_loss: 0.000051
Train iter: 400,  loss: 8.235919, tr_loss: 7.759292, G_loss: 0.000045
Epoch: 182, DC: 0.7328, err: 89.8900
Train iter: 0,  loss: 8.683878, tr_loss: 8.029913, G_loss: 0.000048
Train iter: 100,  loss: 8.891140, tr_loss: 5.792108, G_loss: 0.000047
Train iter: 200,  loss: 7.875441, tr_loss: 6.805531, G_loss: 0.000046
Train iter: 300,  loss: 7.746312, tr_loss: 8.417200, G_loss: 0.000048
Train iter: 400,  loss: 7.938786, tr_loss: 6.749755, G_loss: 0.000048
Epoch: 183, DC: 0.7242, err: 89.9600
Train iter: 0,  loss: 7.563947, tr_loss: 8.139578, G_loss: 0.000048
Train iter: 100,  loss: 8.648352, tr_loss: 6.273059, G_loss: 0.000050
Train iter: 200,  loss: 8.410297, tr_loss: 5.814552, G_loss: 0.000049
Train iter: 300,  loss: 8.640378, tr_loss: 6.032442, G_loss: 0.000050
Train iter: 400,  loss: 8.396717, tr_loss: 7.166272, G_loss: 0.000047
Epoch: 184, DC: 0.7204, err: 89.9900
Train iter: 0,  loss: 8.474100, tr_loss: 13.842574, G_loss: 0.000050
Train iter: 100,  loss: 8.320072, tr_loss: 5.506047, G_loss: 0.000047
Train iter: 200,  loss: 8.744662, tr_loss: 6.247931, G_loss: 0.000049
Train iter: 300,  loss: 8.128970, tr_loss: 5.644941, G_loss: 0.000048
Train iter: 400,  loss: 8.626358, tr_loss: 5.298411, G_loss: 0.000051
Epoch: 185, DC: 0.7278, err: 89.9700
Train iter: 0,  loss: 8.023988, tr_loss: 8.120728, G_loss: 0.000048
Train iter: 100,  loss: 8.565766, tr_loss: 5.580243, G_loss: 0.000049
Train iter: 200,  loss: 7.877894, tr_loss: 5.624577, G_loss: 0.000049
Train iter: 300,  loss: 8.201539, tr_loss: 5.932220, G_loss: 0.000047
Train iter: 400,  loss: 8.472866, tr_loss: 7.745797, G_loss: 0.000050
Epoch: 186, DC: 0.7230, err: 89.9600
Train iter: 0,  loss: 7.641003, tr_loss: 5.062026, G_loss: 0.000048
Train iter: 100,  loss: 7.853396, tr_loss: 5.549144, G_loss: 0.000046
Train iter: 200,  loss: 7.897279, tr_loss: 5.576744, G_loss: 0.000050
Train iter: 300,  loss: 7.625382, tr_loss: 5.230553, G_loss: 0.000050
Train iter: 400,  loss: 8.167116, tr_loss: 5.731494, G_loss: 0.000050
Epoch: 187, DC: 0.7179, err: 89.9800
Train iter: 0,  loss: 7.847531, tr_loss: 5.463121, G_loss: 0.000049
Train iter: 100,  loss: 7.366314, tr_loss: 8.041396, G_loss: 0.000051
Train iter: 200,  loss: 8.173093, tr_loss: 6.517253, G_loss: 0.000051
Train iter: 300,  loss: 7.702634, tr_loss: 5.456543, G_loss: 0.000048
Train iter: 400,  loss: 7.622585, tr_loss: 5.969709, G_loss: 0.000049
Epoch: 188, DC: 0.7215, err: 89.9800
Train iter: 0,  loss: 7.582114, tr_loss: 5.552087, G_loss: 0.000049
Train iter: 100,  loss: 8.642544, tr_loss: 7.230209, G_loss: 0.000048
Train iter: 200,  loss: 8.217018, tr_loss: 6.087642, G_loss: 0.000048
Train iter: 300,  loss: 8.473485, tr_loss: 6.790839, G_loss: 0.000049
Train iter: 400,  loss: 7.631695, tr_loss: 6.341919, G_loss: 0.000049
Epoch: 189, DC: 0.7239, err: 89.9000
Train iter: 0,  loss: 8.375091, tr_loss: 6.442509, G_loss: 0.000048
Train iter: 100,  loss: 8.556581, tr_loss: 6.458194, G_loss: 0.000048
Train iter: 200,  loss: 8.449297, tr_loss: 6.090806, G_loss: 0.000052
Train iter: 300,  loss: 7.632638, tr_loss: 6.719550, G_loss: 0.000048
Train iter: 400,  loss: 8.490359, tr_loss: 6.945885, G_loss: 0.000050
Epoch: 190, DC: 0.7274, err: 89.9400
Train iter: 0,  loss: 8.611124, tr_loss: 5.260387, G_loss: 0.000049
Train iter: 100,  loss: 8.403975, tr_loss: 6.940996, G_loss: 0.000049
Train iter: 200,  loss: 7.598450, tr_loss: 5.991157, G_loss: 0.000049
Train iter: 300,  loss: 8.576004, tr_loss: 6.240134, G_loss: 0.000050
Train iter: 400,  loss: 7.392981, tr_loss: 5.920646, G_loss: 0.000048
Epoch: 191, DC: 0.7250, err: 89.9800
Train iter: 0,  loss: 8.401027, tr_loss: 5.981604, G_loss: 0.000049
Train iter: 100,  loss: 7.566269, tr_loss: 6.331486, G_loss: 0.000048
Train iter: 200,  loss: 8.666553, tr_loss: 7.026367, G_loss: 0.000050
Train iter: 300,  loss: 7.996577, tr_loss: 5.481326, G_loss: 0.000050
Train iter: 400,  loss: 7.974231, tr_loss: 5.380093, G_loss: 0.000049
Epoch: 192, DC: 0.7219, err: 89.9800
Train iter: 0,  loss: 8.044453, tr_loss: 5.840757, G_loss: 0.000049
Train iter: 100,  loss: 7.660748, tr_loss: 6.409336, G_loss: 0.000048
Train iter: 200,  loss: 7.911582, tr_loss: 5.876599, G_loss: 0.000049
Train iter: 300,  loss: 8.076420, tr_loss: 6.328734, G_loss: 0.000048
Train iter: 400,  loss: 7.982419, tr_loss: 6.238644, G_loss: 0.000050
Epoch: 193, DC: 0.7196, err: 89.9700
Train iter: 0,  loss: 7.927159, tr_loss: 5.500596, G_loss: 0.000050
Train iter: 100,  loss: 7.542562, tr_loss: 5.533439, G_loss: 0.000050
Train iter: 200,  loss: 8.021582, tr_loss: 5.197778, G_loss: 0.000051
Train iter: 300,  loss: 7.468131, tr_loss: 5.971618, G_loss: 0.000050
Train iter: 400,  loss: 8.617592, tr_loss: 5.154615, G_loss: 0.000049
Epoch: 194, DC: 0.7224, err: 89.9700
Train iter: 0,  loss: 8.303144, tr_loss: 10.553982, G_loss: 0.000048
Train iter: 100,  loss: 8.441027, tr_loss: 7.533767, G_loss: 0.000049
Train iter: 200,  loss: 8.876912, tr_loss: 5.663299, G_loss: 0.000048
Train iter: 300,  loss: 8.134810, tr_loss: 8.445774, G_loss: 0.000046
Train iter: 400,  loss: 8.629857, tr_loss: 7.420536, G_loss: 0.000048
Epoch: 195, DC: 0.7229, err: 89.9800
Train iter: 0,  loss: 8.776959, tr_loss: 8.043164, G_loss: 0.000048
Train iter: 100,  loss: 8.152941, tr_loss: 5.402806, G_loss: 0.000045
Train iter: 200,  loss: 8.148752, tr_loss: 5.977044, G_loss: 0.000046
Train iter: 300,  loss: 7.913931, tr_loss: 7.177814, G_loss: 0.000047
Train iter: 400,  loss: 8.780235, tr_loss: 6.356553, G_loss: 0.000048
Epoch: 196, DC: 0.7253, err: 89.9800
Train iter: 0,  loss: 8.446751, tr_loss: 5.952015, G_loss: 0.000047
Train iter: 100,  loss: 8.936053, tr_loss: 7.236192, G_loss: 0.000047
Train iter: 200,  loss: 8.349618, tr_loss: 6.405933, G_loss: 0.000046
Train iter: 300,  loss: 8.801532, tr_loss: 6.363669, G_loss: 0.000048
Train iter: 400,  loss: 8.367458, tr_loss: 6.823963, G_loss: 0.000050
Epoch: 197, DC: 0.7247, err: 89.9600
Train iter: 0,  loss: 8.073158, tr_loss: 5.928439, G_loss: 0.000048
Train iter: 100,  loss: 8.423815, tr_loss: 7.116088, G_loss: 0.000049
Train iter: 200,  loss: 7.107987, tr_loss: 6.486984, G_loss: 0.000048
Train iter: 300,  loss: 8.019095, tr_loss: 5.471528, G_loss: 0.000047
Train iter: 400,  loss: 7.612630, tr_loss: 5.389101, G_loss: 0.000048
Epoch: 198, DC: 0.7222, err: 89.9200
Train iter: 0,  loss: 7.664289, tr_loss: 5.720695, G_loss: 0.000049
Train iter: 100,  loss: 8.278905, tr_loss: 5.861067, G_loss: 0.000050
Train iter: 200,  loss: 8.268421, tr_loss: 6.042219, G_loss: 0.000048
Train iter: 300,  loss: 8.105104, tr_loss: 6.371473, G_loss: 0.000051
Train iter: 400,  loss: 8.744065, tr_loss: 5.351976, G_loss: 0.000049
Epoch: 199, DC: 0.7151, err: 89.8800
Train iter: 0,  loss: 9.053030, tr_loss: 6.366685, G_loss: 0.000050
Train iter: 100,  loss: 7.926635, tr_loss: 5.507154, G_loss: 0.000049
Train iter: 200,  loss: 8.394776, tr_loss: 13.011127, G_loss: 0.000049
Train iter: 300,  loss: 8.445211, tr_loss: 6.246350, G_loss: 0.000051
Train iter: 400,  loss: 8.337844, tr_loss: 5.494661, G_loss: 0.000050
Epoch: 200, DC: 0.7132, err: 89.9900
Accuracy: 98.810000 
Done!
