log.txt

Lambda: 1
Epoch: [0/150], Step [100/469], Loss: 23470.3086,  Classification Accuracy: 89.06
Epoch: [0/150], Step [200/469], Loss: 22019.8145,  Classification Accuracy: 97.66
Epoch: [0/150], Step [300/469], Loss: 21768.9902,  Classification Accuracy: 96.88
Epoch: [0/150], Step [400/469], Loss: 22771.1562,  Classification Accuracy: 94.53
Epoch: [1/150], Step [100/469], Loss: 21174.7930,  Classification Accuracy: 96.09
Epoch: [1/150], Step [200/469], Loss: 22276.1562,  Classification Accuracy: 92.19
Epoch: [1/150], Step [300/469], Loss: 22783.4473,  Classification Accuracy: 95.31
Epoch: [1/150], Step [400/469], Loss: 21268.1543,  Classification Accuracy: 99.22
Epoch: [2/150], Step [100/469], Loss: 21811.0840,  Classification Accuracy: 97.66
Epoch: [2/150], Step [200/469], Loss: 20810.3359,  Classification Accuracy: 99.22
Epoch: [2/150], Step [300/469], Loss: 20016.0078,  Classification Accuracy: 98.44
Epoch: [2/150], Step [400/469], Loss: 20225.1953,  Classification Accuracy: 94.53
Epoch: [3/150], Step [100/469], Loss: 20668.4004,  Classification Accuracy: 99.22
Epoch: [3/150], Step [200/469], Loss: 20484.1035,  Classification Accuracy: 96.09
Epoch: [3/150], Step [300/469], Loss: 20206.0977,  Classification Accuracy: 98.44
Epoch: [3/150], Step [400/469], Loss: 21605.4863,  Classification Accuracy: 98.44
Epoch: [4/150], Step [100/469], Loss: 20114.1387,  Classification Accuracy: 99.22
Epoch: [4/150], Step [200/469], Loss: 20446.9922,  Classification Accuracy: 99.22
Epoch: [4/150], Step [300/469], Loss: 20335.3945,  Classification Accuracy: 96.88
Epoch: [4/150], Step [400/469], Loss: 20786.4551,  Classification Accuracy: 95.31
Epoch: [5/150], Step [100/469], Loss: 20354.4844,  Classification Accuracy: 100.00
Epoch: [5/150], Step [200/469], Loss: 20669.5234,  Classification Accuracy: 97.66
Epoch: [5/150], Step [300/469], Loss: 20192.2266,  Classification Accuracy: 96.88
Epoch: [5/150], Step [400/469], Loss: 20541.5098,  Classification Accuracy: 100.00
Epoch: [6/150], Step [100/469], Loss: 20108.6562,  Classification Accuracy: 98.44
Epoch: [6/150], Step [200/469], Loss: 19597.8105,  Classification Accuracy: 97.66
Epoch: [6/150], Step [300/469], Loss: 19229.3945,  Classification Accuracy: 99.22
Epoch: [6/150], Step [400/469], Loss: 19964.6328,  Classification Accuracy: 100.00
Epoch: [7/150], Step [100/469], Loss: 20267.2285,  Classification Accuracy: 98.44
Epoch: [7/150], Step [200/469], Loss: 20239.5703,  Classification Accuracy: 97.66
Epoch: [7/150], Step [300/469], Loss: 19826.3926,  Classification Accuracy: 96.88
Epoch: [7/150], Step [400/469], Loss: 18970.3281,  Classification Accuracy: 97.66
Epoch: [8/150], Step [100/469], Loss: 21470.6152,  Classification Accuracy: 99.22
Epoch: [8/150], Step [200/469], Loss: 19998.1133,  Classification Accuracy: 98.44
Epoch: [8/150], Step [300/469], Loss: 19552.5547,  Classification Accuracy: 100.00
Epoch: [8/150], Step [400/469], Loss: 20923.8301,  Classification Accuracy: 100.00
Epoch: [9/150], Step [100/469], Loss: 19869.6758,  Classification Accuracy: 100.00
Epoch: [9/150], Step [200/469], Loss: 19912.8438,  Classification Accuracy: 100.00
Epoch: [9/150], Step [300/469], Loss: 19712.3633,  Classification Accuracy: 100.00
Epoch: [9/150], Step [400/469], Loss: 19770.6094,  Classification Accuracy: 96.88
Epoch: [10/150], Step [100/469], Loss: 18930.6230,  Classification Accuracy: 96.88
Epoch: [10/150], Step [200/469], Loss: 20777.2305,  Classification Accuracy: 99.22
Epoch: [10/150], Step [300/469], Loss: 20469.5527,  Classification Accuracy: 96.88
Epoch: [10/150], Step [400/469], Loss: 19564.6504,  Classification Accuracy: 100.00
Epoch: [11/150], Step [100/469], Loss: 19159.0566,  Classification Accuracy: 100.00
Epoch: [11/150], Step [200/469], Loss: 18774.1309,  Classification Accuracy: 100.00
Epoch: [11/150], Step [300/469], Loss: 19057.4844,  Classification Accuracy: 99.22
Epoch: [11/150], Step [400/469], Loss: 19121.5059,  Classification Accuracy: 96.88
Epoch: [12/150], Step [100/469], Loss: 19063.6172,  Classification Accuracy: 99.22
Epoch: [12/150], Step [200/469], Loss: 19711.0918,  Classification Accuracy: 99.22
Epoch: [12/150], Step [300/469], Loss: 18820.1133,  Classification Accuracy: 100.00
Epoch: [12/150], Step [400/469], Loss: 19492.1777,  Classification Accuracy: 99.22
Epoch: [13/150], Step [100/469], Loss: 19025.3438,  Classification Accuracy: 99.22
Epoch: [13/150], Step [200/469], Loss: 19854.0332,  Classification Accuracy: 99.22
Epoch: [13/150], Step [300/469], Loss: 20018.7461,  Classification Accuracy: 99.22
Epoch: [13/150], Step [400/469], Loss: 19451.0996,  Classification Accuracy: 100.00
Epoch: [14/150], Step [100/469], Loss: 19507.0176,  Classification Accuracy: 100.00
Epoch: [14/150], Step [200/469], Loss: 19483.5762,  Classification Accuracy: 99.22
Epoch: [14/150], Step [300/469], Loss: 20049.4180,  Classification Accuracy: 97.66
Epoch: [14/150], Step [400/469], Loss: 18574.1719,  Classification Accuracy: 100.00
Epoch: [15/150], Step [100/469], Loss: 18501.2715,  Classification Accuracy: 98.44
Epoch: [15/150], Step [200/469], Loss: 18833.7266,  Classification Accuracy: 98.44
Epoch: [15/150], Step [300/469], Loss: 20134.0879,  Classification Accuracy: 98.44
Epoch: [15/150], Step [400/469], Loss: 19560.0430,  Classification Accuracy: 100.00
Epoch: [16/150], Step [100/469], Loss: 20139.7754,  Classification Accuracy: 98.44
Epoch: [16/150], Step [200/469], Loss: 19657.9688,  Classification Accuracy: 100.00
Epoch: [16/150], Step [300/469], Loss: 19511.4121,  Classification Accuracy: 99.22
Epoch: [16/150], Step [400/469], Loss: 18709.4141,  Classification Accuracy: 97.66
Epoch: [17/150], Step [100/469], Loss: 19133.5410,  Classification Accuracy: 100.00
Epoch: [17/150], Step [200/469], Loss: 19637.3301,  Classification Accuracy: 99.22
Epoch: [17/150], Step [300/469], Loss: 19836.4785,  Classification Accuracy: 97.66
Epoch: [17/150], Step [400/469], Loss: 18549.1465,  Classification Accuracy: 99.22
Epoch: [18/150], Step [100/469], Loss: 19692.2285,  Classification Accuracy: 98.44
Epoch: [18/150], Step [200/469], Loss: 19690.5195,  Classification Accuracy: 100.00
Epoch: [18/150], Step [300/469], Loss: 19508.2305,  Classification Accuracy: 98.44
Epoch: [18/150], Step [400/469], Loss: 19197.7793,  Classification Accuracy: 99.22
Epoch: [19/150], Step [100/469], Loss: 18767.3633,  Classification Accuracy: 97.66
Epoch: [19/150], Step [200/469], Loss: 19112.4316,  Classification Accuracy: 99.22
Epoch: [19/150], Step [300/469], Loss: 19662.2188,  Classification Accuracy: 99.22
Epoch: [19/150], Step [400/469], Loss: 19759.3379,  Classification Accuracy: 99.22
Epoch: [20/150], Step [100/469], Loss: 18893.3555,  Classification Accuracy: 99.22
Epoch: [20/150], Step [200/469], Loss: 18535.9238,  Classification Accuracy: 100.00
Epoch: [20/150], Step [300/469], Loss: 18901.4785,  Classification Accuracy: 99.22
Epoch: [20/150], Step [400/469], Loss: 20094.9004,  Classification Accuracy: 100.00
Epoch: [21/150], Step [100/469], Loss: 19412.0957,  Classification Accuracy: 99.22
Epoch: [21/150], Step [200/469], Loss: 17600.5820,  Classification Accuracy: 100.00
Epoch: [21/150], Step [300/469], Loss: 18772.8926,  Classification Accuracy: 100.00
Epoch: [21/150], Step [400/469], Loss: 19585.1543,  Classification Accuracy: 100.00
Epoch: [22/150], Step [100/469], Loss: 19041.5723,  Classification Accuracy: 100.00
Epoch: [22/150], Step [200/469], Loss: 19439.2441,  Classification Accuracy: 100.00
Epoch: [22/150], Step [300/469], Loss: 19470.7188,  Classification Accuracy: 99.22
Epoch: [22/150], Step [400/469], Loss: 19658.2930,  Classification Accuracy: 99.22
Epoch: [23/150], Step [100/469], Loss: 19422.6641,  Classification Accuracy: 99.22
Epoch: [23/150], Step [200/469], Loss: 18711.6777,  Classification Accuracy: 99.22
Epoch: [23/150], Step [300/469], Loss: 20189.7812,  Classification Accuracy: 100.00
Epoch: [23/150], Step [400/469], Loss: 19923.8945,  Classification Accuracy: 100.00
Epoch: [24/150], Step [100/469], Loss: 19038.6270,  Classification Accuracy: 100.00
Epoch: [24/150], Step [200/469], Loss: 18677.2910,  Classification Accuracy: 99.22
Epoch: [24/150], Step [300/469], Loss: 19257.4297,  Classification Accuracy: 98.44
Epoch: [24/150], Step [400/469], Loss: 19281.7949,  Classification Accuracy: 100.00
Epoch: [25/150], Step [100/469], Loss: 19277.3008,  Classification Accuracy: 100.00
Epoch: [25/150], Step [200/469], Loss: 18204.1367,  Classification Accuracy: 100.00
Epoch: [25/150], Step [300/469], Loss: 19919.8203,  Classification Accuracy: 99.22
Epoch: [25/150], Step [400/469], Loss: 19700.8145,  Classification Accuracy: 100.00
Epoch: [26/150], Step [100/469], Loss: 18759.3984,  Classification Accuracy: 100.00
Epoch: [26/150], Step [200/469], Loss: 19011.0195,  Classification Accuracy: 99.22
Epoch: [26/150], Step [300/469], Loss: 18812.8047,  Classification Accuracy: 99.22
Epoch: [26/150], Step [400/469], Loss: 18702.7090,  Classification Accuracy: 99.22
Epoch: [27/150], Step [100/469], Loss: 19383.9336,  Classification Accuracy: 100.00
Epoch: [27/150], Step [200/469], Loss: 18585.0996,  Classification Accuracy: 100.00
Epoch: [27/150], Step [300/469], Loss: 19480.6367,  Classification Accuracy: 99.22
Epoch: [27/150], Step [400/469], Loss: 19413.0684,  Classification Accuracy: 99.22
Epoch: [28/150], Step [100/469], Loss: 18691.2637,  Classification Accuracy: 98.44
Epoch: [28/150], Step [200/469], Loss: 18411.8145,  Classification Accuracy: 97.66
Epoch: [28/150], Step [300/469], Loss: 19219.3984,  Classification Accuracy: 100.00
Epoch: [28/150], Step [400/469], Loss: 18883.3906,  Classification Accuracy: 100.00
Epoch: [29/150], Step [100/469], Loss: 18700.7324,  Classification Accuracy: 99.22
Epoch: [29/150], Step [200/469], Loss: 18679.7188,  Classification Accuracy: 100.00
Epoch: [29/150], Step [300/469], Loss: 19078.6035,  Classification Accuracy: 100.00
Epoch: [29/150], Step [400/469], Loss: 18660.1758,  Classification Accuracy: 99.22
Epoch: [30/150], Step [100/469], Loss: 18229.7480,  Classification Accuracy: 99.22
Epoch: [30/150], Step [200/469], Loss: 18377.6465,  Classification Accuracy: 99.22
Epoch: [30/150], Step [300/469], Loss: 19168.0586,  Classification Accuracy: 99.22
Epoch: [30/150], Step [400/469], Loss: 17804.7070,  Classification Accuracy: 100.00
Epoch: [31/150], Step [100/469], Loss: 19193.5312,  Classification Accuracy: 100.00
Epoch: [31/150], Step [200/469], Loss: 17961.2988,  Classification Accuracy: 99.22
Epoch: [31/150], Step [300/469], Loss: 18878.3750,  Classification Accuracy: 99.22
Epoch: [31/150], Step [400/469], Loss: 18666.5840,  Classification Accuracy: 98.44
Epoch: [32/150], Step [100/469], Loss: 19016.6426,  Classification Accuracy: 98.44
Epoch: [32/150], Step [200/469], Loss: 19192.3105,  Classification Accuracy: 98.44
Epoch: [32/150], Step [300/469], Loss: 17938.0352,  Classification Accuracy: 99.22
Epoch: [32/150], Step [400/469], Loss: 18862.3066,  Classification Accuracy: 100.00
Epoch: [33/150], Step [100/469], Loss: 19109.7695,  Classification Accuracy: 100.00
Epoch: [33/150], Step [200/469], Loss: 18843.8730,  Classification Accuracy: 100.00
Epoch: [33/150], Step [300/469], Loss: 18618.6270,  Classification Accuracy: 99.22
Epoch: [33/150], Step [400/469], Loss: 19589.5410,  Classification Accuracy: 100.00
Epoch: [34/150], Step [100/469], Loss: 18580.8223,  Classification Accuracy: 100.00
Epoch: [34/150], Step [200/469], Loss: 18841.9141,  Classification Accuracy: 99.22
Epoch: [34/150], Step [300/469], Loss: 18625.4961,  Classification Accuracy: 100.00
Epoch: [34/150], Step [400/469], Loss: 18759.5273,  Classification Accuracy: 100.00
Epoch: [35/150], Step [100/469], Loss: 17758.5234,  Classification Accuracy: 98.44
Epoch: [35/150], Step [200/469], Loss: 18924.4512,  Classification Accuracy: 100.00
Epoch: [35/150], Step [300/469], Loss: 18746.8301,  Classification Accuracy: 100.00
Epoch: [35/150], Step [400/469], Loss: 19220.3281,  Classification Accuracy: 99.22
Epoch: [36/150], Step [100/469], Loss: 18668.9375,  Classification Accuracy: 100.00
Epoch: [36/150], Step [200/469], Loss: 18696.9766,  Classification Accuracy: 100.00
Epoch: [36/150], Step [300/469], Loss: 19031.8340,  Classification Accuracy: 99.22
Epoch: [36/150], Step [400/469], Loss: 19184.1953,  Classification Accuracy: 99.22
Epoch: [37/150], Step [100/469], Loss: 19049.1758,  Classification Accuracy: 100.00
Epoch: [37/150], Step [200/469], Loss: 18212.7070,  Classification Accuracy: 100.00
Epoch: [37/150], Step [300/469], Loss: 18766.7227,  Classification Accuracy: 100.00
Epoch: [37/150], Step [400/469], Loss: 18290.1992,  Classification Accuracy: 99.22
Epoch: [38/150], Step [100/469], Loss: 18393.1973,  Classification Accuracy: 100.00
Epoch: [38/150], Step [200/469], Loss: 17582.8672,  Classification Accuracy: 100.00
Epoch: [38/150], Step [300/469], Loss: 19050.9512,  Classification Accuracy: 100.00
Epoch: [38/150], Step [400/469], Loss: 18428.4824,  Classification Accuracy: 99.22
Epoch: [39/150], Step [100/469], Loss: 18689.2676,  Classification Accuracy: 100.00
Epoch: [39/150], Step [200/469], Loss: 18316.8418,  Classification Accuracy: 99.22
Epoch: [39/150], Step [300/469], Loss: 18634.2949,  Classification Accuracy: 99.22
Epoch: [39/150], Step [400/469], Loss: 18866.0820,  Classification Accuracy: 99.22
Epoch: [40/150], Step [100/469], Loss: 18687.0156,  Classification Accuracy: 100.00
Epoch: [40/150], Step [200/469], Loss: 18131.7969,  Classification Accuracy: 99.22
Epoch: [40/150], Step [300/469], Loss: 18492.1191,  Classification Accuracy: 100.00
Epoch: [40/150], Step [400/469], Loss: 18813.4199,  Classification Accuracy: 100.00
Epoch: [41/150], Step [100/469], Loss: 19526.1836,  Classification Accuracy: 100.00
Epoch: [41/150], Step [200/469], Loss: 19359.1270,  Classification Accuracy: 99.22
Epoch: [41/150], Step [300/469], Loss: 19137.0527,  Classification Accuracy: 100.00
Epoch: [41/150], Step [400/469], Loss: 17700.6484,  Classification Accuracy: 100.00
Epoch: [42/150], Step [100/469], Loss: 18636.9336,  Classification Accuracy: 100.00
Epoch: [42/150], Step [200/469], Loss: 19328.1680,  Classification Accuracy: 100.00
Epoch: [42/150], Step [300/469], Loss: 18746.5371,  Classification Accuracy: 100.00
Epoch: [42/150], Step [400/469], Loss: 19137.9336,  Classification Accuracy: 99.22
Epoch: [43/150], Step [100/469], Loss: 18451.5996,  Classification Accuracy: 100.00
Epoch: [43/150], Step [200/469], Loss: 18888.4141,  Classification Accuracy: 100.00
Epoch: [43/150], Step [300/469], Loss: 18946.6484,  Classification Accuracy: 99.22
Epoch: [43/150], Step [400/469], Loss: 18381.5703,  Classification Accuracy: 100.00
Epoch: [44/150], Step [100/469], Loss: 17735.0469,  Classification Accuracy: 99.22
Epoch: [44/150], Step [200/469], Loss: 18395.3438,  Classification Accuracy: 100.00
Epoch: [44/150], Step [300/469], Loss: 19118.5195,  Classification Accuracy: 100.00
Epoch: [44/150], Step [400/469], Loss: 17824.7168,  Classification Accuracy: 98.44
Epoch: [45/150], Step [100/469], Loss: 18811.3535,  Classification Accuracy: 99.22
Epoch: [45/150], Step [200/469], Loss: 19067.5742,  Classification Accuracy: 100.00
Epoch: [45/150], Step [300/469], Loss: 18574.4902,  Classification Accuracy: 100.00
Epoch: [45/150], Step [400/469], Loss: 19250.8672,  Classification Accuracy: 99.22
Epoch: [46/150], Step [100/469], Loss: 19085.4688,  Classification Accuracy: 100.00
Epoch: [46/150], Step [200/469], Loss: 19216.2852,  Classification Accuracy: 100.00
Epoch: [46/150], Step [300/469], Loss: 20363.1973,  Classification Accuracy: 100.00
Epoch: [46/150], Step [400/469], Loss: 18737.7324,  Classification Accuracy: 99.22
Epoch: [47/150], Step [100/469], Loss: 18288.2148,  Classification Accuracy: 99.22
Epoch: [47/150], Step [200/469], Loss: 18424.6152,  Classification Accuracy: 100.00
Epoch: [47/150], Step [300/469], Loss: 17920.3867,  Classification Accuracy: 100.00
Epoch: [47/150], Step [400/469], Loss: 18766.0684,  Classification Accuracy: 99.22
Epoch: [48/150], Step [100/469], Loss: 19078.4629,  Classification Accuracy: 100.00
Epoch: [48/150], Step [200/469], Loss: 17627.7617,  Classification Accuracy: 100.00
Epoch: [48/150], Step [300/469], Loss: 17864.4180,  Classification Accuracy: 100.00
Epoch: [48/150], Step [400/469], Loss: 18183.3359,  Classification Accuracy: 100.00
Epoch: [49/150], Step [100/469], Loss: 17915.3965,  Classification Accuracy: 100.00
Epoch: [49/150], Step [200/469], Loss: 19463.1816,  Classification Accuracy: 100.00
Epoch: [49/150], Step [300/469], Loss: 18831.5410,  Classification Accuracy: 99.22
Epoch: [49/150], Step [400/469], Loss: 18466.2109,  Classification Accuracy: 100.00
Epoch: [50/150], Step [100/469], Loss: 18827.8809,  Classification Accuracy: 100.00
Epoch: [50/150], Step [200/469], Loss: 18585.5762,  Classification Accuracy: 100.00
Epoch: [50/150], Step [300/469], Loss: 18182.3652,  Classification Accuracy: 100.00
Epoch: [50/150], Step [400/469], Loss: 18790.6250,  Classification Accuracy: 99.22
Epoch: [51/150], Step [100/469], Loss: 18874.6055,  Classification Accuracy: 100.00
Epoch: [51/150], Step [200/469], Loss: 19575.7539,  Classification Accuracy: 99.22
Epoch: [51/150], Step [300/469], Loss: 17759.5312,  Classification Accuracy: 100.00
Epoch: [51/150], Step [400/469], Loss: 18236.9805,  Classification Accuracy: 100.00
Epoch: [52/150], Step [100/469], Loss: 18669.8926,  Classification Accuracy: 100.00
Epoch: [52/150], Step [200/469], Loss: 17503.2070,  Classification Accuracy: 98.44
Epoch: [52/150], Step [300/469], Loss: 18816.1074,  Classification Accuracy: 99.22
Epoch: [52/150], Step [400/469], Loss: 18803.4180,  Classification Accuracy: 100.00
Epoch: [53/150], Step [100/469], Loss: 19370.7012,  Classification Accuracy: 100.00
Epoch: [53/150], Step [200/469], Loss: 18974.3242,  Classification Accuracy: 100.00
Epoch: [53/150], Step [300/469], Loss: 18548.5664,  Classification Accuracy: 100.00
Epoch: [53/150], Step [400/469], Loss: 19111.6035,  Classification Accuracy: 100.00
Epoch: [54/150], Step [100/469], Loss: 18136.2910,  Classification Accuracy: 100.00
Epoch: [54/150], Step [200/469], Loss: 18776.9219,  Classification Accuracy: 98.44
Epoch: [54/150], Step [300/469], Loss: 18634.8750,  Classification Accuracy: 100.00
Epoch: [54/150], Step [400/469], Loss: 18346.2910,  Classification Accuracy: 100.00
Epoch: [55/150], Step [100/469], Loss: 18992.4922,  Classification Accuracy: 100.00
Epoch: [55/150], Step [200/469], Loss: 18408.7188,  Classification Accuracy: 100.00
Epoch: [55/150], Step [300/469], Loss: 17478.7207,  Classification Accuracy: 99.22
Epoch: [55/150], Step [400/469], Loss: 17767.3105,  Classification Accuracy: 100.00
Epoch: [56/150], Step [100/469], Loss: 18599.4277,  Classification Accuracy: 100.00
Epoch: [56/150], Step [200/469], Loss: 17581.5430,  Classification Accuracy: 100.00
Epoch: [56/150], Step [300/469], Loss: 18801.5273,  Classification Accuracy: 99.22
Epoch: [56/150], Step [400/469], Loss: 18682.0312,  Classification Accuracy: 100.00
Epoch: [57/150], Step [100/469], Loss: 18792.4629,  Classification Accuracy: 99.22
Epoch: [57/150], Step [200/469], Loss: 18591.2129,  Classification Accuracy: 100.00
Epoch: [57/150], Step [300/469], Loss: 17992.7578,  Classification Accuracy: 100.00
Epoch: [57/150], Step [400/469], Loss: 17963.5723,  Classification Accuracy: 99.22
Epoch: [58/150], Step [100/469], Loss: 18607.8906,  Classification Accuracy: 99.22
Epoch: [58/150], Step [200/469], Loss: 18325.1094,  Classification Accuracy: 100.00
Epoch: [58/150], Step [300/469], Loss: 19358.2773,  Classification Accuracy: 99.22
Epoch: [58/150], Step [400/469], Loss: 18450.6055,  Classification Accuracy: 99.22
Epoch: [59/150], Step [100/469], Loss: 18787.7422,  Classification Accuracy: 100.00
Epoch: [59/150], Step [200/469], Loss: 18490.7812,  Classification Accuracy: 100.00
Epoch: [59/150], Step [300/469], Loss: 18698.7344,  Classification Accuracy: 100.00
Epoch: [59/150], Step [400/469], Loss: 18412.4141,  Classification Accuracy: 100.00
Epoch: [60/150], Step [100/469], Loss: 18264.3145,  Classification Accuracy: 99.22
Epoch: [60/150], Step [200/469], Loss: 18073.1055,  Classification Accuracy: 100.00
Epoch: [60/150], Step [300/469], Loss: 18713.6523,  Classification Accuracy: 100.00
Epoch: [60/150], Step [400/469], Loss: 18043.2070,  Classification Accuracy: 100.00
Epoch: [61/150], Step [100/469], Loss: 18683.9219,  Classification Accuracy: 98.44
Epoch: [61/150], Step [200/469], Loss: 18128.7461,  Classification Accuracy: 100.00
Epoch: [61/150], Step [300/469], Loss: 19502.6602,  Classification Accuracy: 97.66
Epoch: [61/150], Step [400/469], Loss: 18144.7051,  Classification Accuracy: 100.00
Epoch: [62/150], Step [100/469], Loss: 18158.9961,  Classification Accuracy: 100.00
Epoch: [62/150], Step [200/469], Loss: 18129.7305,  Classification Accuracy: 100.00
Epoch: [62/150], Step [300/469], Loss: 18499.5039,  Classification Accuracy: 100.00
Epoch: [62/150], Step [400/469], Loss: 17342.2754,  Classification Accuracy: 100.00
Epoch: [63/150], Step [100/469], Loss: 18580.6621,  Classification Accuracy: 100.00
Epoch: [63/150], Step [200/469], Loss: 18061.3555,  Classification Accuracy: 99.22
Epoch: [63/150], Step [300/469], Loss: 17664.7285,  Classification Accuracy: 99.22
Epoch: [63/150], Step [400/469], Loss: 18537.0215,  Classification Accuracy: 100.00
Epoch: [64/150], Step [100/469], Loss: 19218.0762,  Classification Accuracy: 100.00
Epoch: [64/150], Step [200/469], Loss: 18726.3496,  Classification Accuracy: 100.00
Epoch: [64/150], Step [300/469], Loss: 19088.4062,  Classification Accuracy: 100.00
Epoch: [64/150], Step [400/469], Loss: 18161.0488,  Classification Accuracy: 99.22
Epoch: [65/150], Step [100/469], Loss: 17620.0742,  Classification Accuracy: 100.00
Epoch: [65/150], Step [200/469], Loss: 18189.9004,  Classification Accuracy: 100.00
Epoch: [65/150], Step [300/469], Loss: 18574.4414,  Classification Accuracy: 100.00
Epoch: [65/150], Step [400/469], Loss: 18927.4297,  Classification Accuracy: 100.00
Epoch: [66/150], Step [100/469], Loss: 17940.3613,  Classification Accuracy: 100.00
Epoch: [66/150], Step [200/469], Loss: 18924.5566,  Classification Accuracy: 99.22
Epoch: [66/150], Step [300/469], Loss: 19069.3516,  Classification Accuracy: 99.22
Epoch: [66/150], Step [400/469], Loss: 17883.1543,  Classification Accuracy: 99.22
Epoch: [67/150], Step [100/469], Loss: 18660.8125,  Classification Accuracy: 99.22
Epoch: [67/150], Step [200/469], Loss: 18798.0664,  Classification Accuracy: 100.00
Epoch: [67/150], Step [300/469], Loss: 18281.5547,  Classification Accuracy: 99.22
Epoch: [67/150], Step [400/469], Loss: 18029.1699,  Classification Accuracy: 99.22
Epoch: [68/150], Step [100/469], Loss: 17744.4941,  Classification Accuracy: 99.22
Epoch: [68/150], Step [200/469], Loss: 18670.7812,  Classification Accuracy: 100.00
Epoch: [68/150], Step [300/469], Loss: 19167.3203,  Classification Accuracy: 100.00
Epoch: [68/150], Step [400/469], Loss: 18309.6855,  Classification Accuracy: 100.00
Epoch: [69/150], Step [100/469], Loss: 18602.0859,  Classification Accuracy: 99.22
Epoch: [69/150], Step [200/469], Loss: 18157.6172,  Classification Accuracy: 99.22
Epoch: [69/150], Step [300/469], Loss: 18532.7910,  Classification Accuracy: 100.00
Epoch: [69/150], Step [400/469], Loss: 18178.0039,  Classification Accuracy: 98.44
Epoch: [70/150], Step [100/469], Loss: 18378.5938,  Classification Accuracy: 100.00
Epoch: [70/150], Step [200/469], Loss: 19313.1836,  Classification Accuracy: 100.00
Epoch: [70/150], Step [300/469], Loss: 17973.5059,  Classification Accuracy: 100.00
Epoch: [70/150], Step [400/469], Loss: 19133.0020,  Classification Accuracy: 100.00
Epoch: [71/150], Step [100/469], Loss: 18407.6855,  Classification Accuracy: 100.00
Epoch: [71/150], Step [200/469], Loss: 18012.0684,  Classification Accuracy: 100.00
Epoch: [71/150], Step [300/469], Loss: 18499.5293,  Classification Accuracy: 100.00
Epoch: [71/150], Step [400/469], Loss: 18259.2676,  Classification Accuracy: 99.22
Epoch: [72/150], Step [100/469], Loss: 18260.4375,  Classification Accuracy: 99.22
Epoch: [72/150], Step [200/469], Loss: 18256.7617,  Classification Accuracy: 100.00
Epoch: [72/150], Step [300/469], Loss: 18001.7129,  Classification Accuracy: 99.22
Epoch: [72/150], Step [400/469], Loss: 18613.0566,  Classification Accuracy: 100.00
Epoch: [73/150], Step [100/469], Loss: 17831.9082,  Classification Accuracy: 100.00
Epoch: [73/150], Step [200/469], Loss: 17888.9492,  Classification Accuracy: 100.00
Epoch: [73/150], Step [300/469], Loss: 18046.6660,  Classification Accuracy: 99.22
Epoch: [73/150], Step [400/469], Loss: 17671.8105,  Classification Accuracy: 100.00
Epoch: [74/150], Step [100/469], Loss: 18687.4473,  Classification Accuracy: 100.00
Epoch: [74/150], Step [200/469], Loss: 18947.5488,  Classification Accuracy: 100.00
Epoch: [74/150], Step [300/469], Loss: 18329.6816,  Classification Accuracy: 99.22
Epoch: [74/150], Step [400/469], Loss: 18336.0840,  Classification Accuracy: 100.00
Epoch: [75/150], Step [100/469], Loss: 18156.2051,  Classification Accuracy: 100.00
Epoch: [75/150], Step [200/469], Loss: 18312.9648,  Classification Accuracy: 100.00
Epoch: [75/150], Step [300/469], Loss: 18205.2578,  Classification Accuracy: 100.00
Epoch: [75/150], Step [400/469], Loss: 17949.9160,  Classification Accuracy: 100.00
Epoch: [76/150], Step [100/469], Loss: 18506.1934,  Classification Accuracy: 100.00
Epoch: [76/150], Step [200/469], Loss: 17146.4023,  Classification Accuracy: 99.22
Epoch: [76/150], Step [300/469], Loss: 17947.4355,  Classification Accuracy: 100.00
Epoch: [76/150], Step [400/469], Loss: 17987.5078,  Classification Accuracy: 100.00
Epoch: [77/150], Step [100/469], Loss: 18304.5176,  Classification Accuracy: 100.00
Epoch: [77/150], Step [200/469], Loss: 18283.5508,  Classification Accuracy: 100.00
Epoch: [77/150], Step [300/469], Loss: 18615.1309,  Classification Accuracy: 100.00
Epoch: [77/150], Step [400/469], Loss: 18074.4766,  Classification Accuracy: 100.00
Epoch: [78/150], Step [100/469], Loss: 17846.3203,  Classification Accuracy: 100.00
Epoch: [78/150], Step [200/469], Loss: 17673.7695,  Classification Accuracy: 100.00
Epoch: [78/150], Step [300/469], Loss: 19075.0684,  Classification Accuracy: 100.00
Epoch: [78/150], Step [400/469], Loss: 17987.3047,  Classification Accuracy: 100.00
Epoch: [79/150], Step [100/469], Loss: 17901.3848,  Classification Accuracy: 100.00
Epoch: [79/150], Step [200/469], Loss: 17719.9785,  Classification Accuracy: 100.00
Epoch: [79/150], Step [300/469], Loss: 17608.5879,  Classification Accuracy: 100.00
Epoch: [79/150], Step [400/469], Loss: 17620.6523,  Classification Accuracy: 100.00
Epoch: [80/150], Step [100/469], Loss: 19245.9648,  Classification Accuracy: 99.22
Epoch: [80/150], Step [200/469], Loss: 18322.4570,  Classification Accuracy: 100.00
Epoch: [80/150], Step [300/469], Loss: 18422.0625,  Classification Accuracy: 98.44
Epoch: [80/150], Step [400/469], Loss: 18897.0664,  Classification Accuracy: 100.00
Epoch: [81/150], Step [100/469], Loss: 18344.5156,  Classification Accuracy: 100.00
Epoch: [81/150], Step [200/469], Loss: 18506.5117,  Classification Accuracy: 100.00
Epoch: [81/150], Step [300/469], Loss: 19215.2188,  Classification Accuracy: 100.00
Epoch: [81/150], Step [400/469], Loss: 18435.3027,  Classification Accuracy: 99.22
Epoch: [82/150], Step [100/469], Loss: 17789.4980,  Classification Accuracy: 100.00
Epoch: [82/150], Step [200/469], Loss: 18757.9512,  Classification Accuracy: 100.00
Epoch: [82/150], Step [300/469], Loss: 18131.0137,  Classification Accuracy: 100.00
Epoch: [82/150], Step [400/469], Loss: 18769.0488,  Classification Accuracy: 99.22
Epoch: [83/150], Step [100/469], Loss: 18446.0859,  Classification Accuracy: 100.00
Epoch: [83/150], Step [200/469], Loss: 18608.1562,  Classification Accuracy: 100.00
Epoch: [83/150], Step [300/469], Loss: 18317.3262,  Classification Accuracy: 100.00
Epoch: [83/150], Step [400/469], Loss: 18345.2715,  Classification Accuracy: 100.00
Epoch: [84/150], Step [100/469], Loss: 17664.1035,  Classification Accuracy: 99.22
Epoch: [84/150], Step [200/469], Loss: 17749.4141,  Classification Accuracy: 100.00
Epoch: [84/150], Step [300/469], Loss: 18332.0098,  Classification Accuracy: 100.00
Epoch: [84/150], Step [400/469], Loss: 19245.7461,  Classification Accuracy: 100.00
Epoch: [85/150], Step [100/469], Loss: 18523.0879,  Classification Accuracy: 100.00
Epoch: [85/150], Step [200/469], Loss: 18787.2812,  Classification Accuracy: 100.00
Epoch: [85/150], Step [300/469], Loss: 17519.2812,  Classification Accuracy: 99.22
Epoch: [85/150], Step [400/469], Loss: 19307.8086,  Classification Accuracy: 100.00
Epoch: [86/150], Step [100/469], Loss: 18637.5605,  Classification Accuracy: 100.00
Epoch: [86/150], Step [200/469], Loss: 19799.6152,  Classification Accuracy: 98.44
Epoch: [86/150], Step [300/469], Loss: 18455.1035,  Classification Accuracy: 99.22
Epoch: [86/150], Step [400/469], Loss: 19459.5957,  Classification Accuracy: 100.00
Epoch: [87/150], Step [100/469], Loss: 17855.0586,  Classification Accuracy: 100.00
Epoch: [87/150], Step [200/469], Loss: 18406.2051,  Classification Accuracy: 100.00
Epoch: [87/150], Step [300/469], Loss: 17749.1602,  Classification Accuracy: 97.66
Epoch: [87/150], Step [400/469], Loss: 18446.5254,  Classification Accuracy: 100.00
Epoch: [88/150], Step [100/469], Loss: 18324.3281,  Classification Accuracy: 100.00
Epoch: [88/150], Step [200/469], Loss: 18014.1602,  Classification Accuracy: 99.22
Epoch: [88/150], Step [300/469], Loss: 17924.8066,  Classification Accuracy: 100.00
Epoch: [88/150], Step [400/469], Loss: 18350.4492,  Classification Accuracy: 100.00
Epoch: [89/150], Step [100/469], Loss: 18813.0723,  Classification Accuracy: 100.00
Epoch: [89/150], Step [200/469], Loss: 18668.7539,  Classification Accuracy: 100.00
Epoch: [89/150], Step [300/469], Loss: 18108.3711,  Classification Accuracy: 100.00
Epoch: [89/150], Step [400/469], Loss: 18230.0020,  Classification Accuracy: 99.22
Epoch: [90/150], Step [100/469], Loss: 18833.2754,  Classification Accuracy: 100.00
Epoch: [90/150], Step [200/469], Loss: 18072.8438,  Classification Accuracy: 100.00
Epoch: [90/150], Step [300/469], Loss: 18033.6895,  Classification Accuracy: 100.00
Epoch: [90/150], Step [400/469], Loss: 18613.0195,  Classification Accuracy: 100.00
Epoch: [91/150], Step [100/469], Loss: 19074.0273,  Classification Accuracy: 100.00
Epoch: [91/150], Step [200/469], Loss: 17094.5234,  Classification Accuracy: 100.00
Epoch: [91/150], Step [300/469], Loss: 18126.4766,  Classification Accuracy: 100.00
Epoch: [91/150], Step [400/469], Loss: 19700.4434,  Classification Accuracy: 100.00
Epoch: [92/150], Step [100/469], Loss: 17870.0352,  Classification Accuracy: 100.00
Epoch: [92/150], Step [200/469], Loss: 18947.4141,  Classification Accuracy: 100.00
Epoch: [92/150], Step [300/469], Loss: 18078.3340,  Classification Accuracy: 99.22
Epoch: [92/150], Step [400/469], Loss: 18293.9844,  Classification Accuracy: 99.22
Epoch: [93/150], Step [100/469], Loss: 18448.4551,  Classification Accuracy: 100.00
Epoch: [93/150], Step [200/469], Loss: 18715.5410,  Classification Accuracy: 99.22
Epoch: [93/150], Step [300/469], Loss: 19113.8828,  Classification Accuracy: 99.22
Epoch: [93/150], Step [400/469], Loss: 18216.8535,  Classification Accuracy: 100.00
Epoch: [94/150], Step [100/469], Loss: 18718.2324,  Classification Accuracy: 100.00
Epoch: [94/150], Step [200/469], Loss: 18897.8262,  Classification Accuracy: 99.22
Epoch: [94/150], Step [300/469], Loss: 18740.6758,  Classification Accuracy: 100.00
Epoch: [94/150], Step [400/469], Loss: 17639.6465,  Classification Accuracy: 100.00
Epoch: [95/150], Step [100/469], Loss: 18213.1777,  Classification Accuracy: 100.00
Epoch: [95/150], Step [200/469], Loss: 18018.1895,  Classification Accuracy: 99.22
Epoch: [95/150], Step [300/469], Loss: 17289.8965,  Classification Accuracy: 100.00
Epoch: [95/150], Step [400/469], Loss: 17225.3750,  Classification Accuracy: 100.00
Epoch: [96/150], Step [100/469], Loss: 17351.0703,  Classification Accuracy: 100.00
Epoch: [96/150], Step [200/469], Loss: 17609.9316,  Classification Accuracy: 100.00
Epoch: [96/150], Step [300/469], Loss: 17470.0508,  Classification Accuracy: 100.00
Epoch: [96/150], Step [400/469], Loss: 18457.6426,  Classification Accuracy: 99.22
Epoch: [97/150], Step [100/469], Loss: 17559.8320,  Classification Accuracy: 100.00
Epoch: [97/150], Step [200/469], Loss: 18813.3418,  Classification Accuracy: 100.00
Epoch: [97/150], Step [300/469], Loss: 18574.3496,  Classification Accuracy: 100.00
Epoch: [97/150], Step [400/469], Loss: 18792.7773,  Classification Accuracy: 100.00
Epoch: [98/150], Step [100/469], Loss: 18899.4551,  Classification Accuracy: 100.00
Epoch: [98/150], Step [200/469], Loss: 17896.8047,  Classification Accuracy: 100.00
Epoch: [98/150], Step [300/469], Loss: 18309.8145,  Classification Accuracy: 99.22
Epoch: [98/150], Step [400/469], Loss: 18744.7539,  Classification Accuracy: 100.00
Epoch: [99/150], Step [100/469], Loss: 17648.8594,  Classification Accuracy: 100.00
Epoch: [99/150], Step [200/469], Loss: 17891.4746,  Classification Accuracy: 100.00
Epoch: [99/150], Step [300/469], Loss: 18738.4434,  Classification Accuracy: 99.22
Epoch: [99/150], Step [400/469], Loss: 18494.3652,  Classification Accuracy: 100.00
Epoch: [100/150], Step [100/469], Loss: 17512.4258,  Classification Accuracy: 100.00
Epoch: [100/150], Step [200/469], Loss: 18437.7188,  Classification Accuracy: 99.22
Epoch: [100/150], Step [300/469], Loss: 17638.5801,  Classification Accuracy: 100.00
Epoch: [100/150], Step [400/469], Loss: 18157.4863,  Classification Accuracy: 100.00
Epoch: [101/150], Step [100/469], Loss: 17784.2676,  Classification Accuracy: 100.00
Epoch: [101/150], Step [200/469], Loss: 19205.9473,  Classification Accuracy: 100.00
Epoch: [101/150], Step [300/469], Loss: 18424.4590,  Classification Accuracy: 100.00
Epoch: [101/150], Step [400/469], Loss: 18755.6699,  Classification Accuracy: 100.00
Epoch: [102/150], Step [100/469], Loss: 18635.2207,  Classification Accuracy: 100.00
Epoch: [102/150], Step [200/469], Loss: 17946.0176,  Classification Accuracy: 100.00
Epoch: [102/150], Step [300/469], Loss: 18341.9160,  Classification Accuracy: 100.00
Epoch: [102/150], Step [400/469], Loss: 17155.5215,  Classification Accuracy: 100.00
Epoch: [103/150], Step [100/469], Loss: 17355.3184,  Classification Accuracy: 100.00
Epoch: [103/150], Step [200/469], Loss: 18098.1816,  Classification Accuracy: 100.00
Epoch: [103/150], Step [300/469], Loss: 18252.4375,  Classification Accuracy: 100.00
Epoch: [103/150], Step [400/469], Loss: 17380.9004,  Classification Accuracy: 100.00
Epoch: [104/150], Step [100/469], Loss: 18710.3418,  Classification Accuracy: 100.00
Epoch: [104/150], Step [200/469], Loss: 18402.1270,  Classification Accuracy: 100.00
Epoch: [104/150], Step [300/469], Loss: 17964.2246,  Classification Accuracy: 100.00
Epoch: [104/150], Step [400/469], Loss: 18508.4258,  Classification Accuracy: 99.22
Epoch: [105/150], Step [100/469], Loss: 18508.7109,  Classification Accuracy: 100.00
Epoch: [105/150], Step [200/469], Loss: 17868.2852,  Classification Accuracy: 100.00
Epoch: [105/150], Step [300/469], Loss: 18396.1309,  Classification Accuracy: 100.00
Epoch: [105/150], Step [400/469], Loss: 19045.3672,  Classification Accuracy: 99.22
Epoch: [106/150], Step [100/469], Loss: 17220.7422,  Classification Accuracy: 100.00
Epoch: [106/150], Step [200/469], Loss: 18811.5859,  Classification Accuracy: 100.00
Epoch: [106/150], Step [300/469], Loss: 17448.8320,  Classification Accuracy: 99.22
Epoch: [106/150], Step [400/469], Loss: 17711.7891,  Classification Accuracy: 100.00
Epoch: [107/150], Step [100/469], Loss: 17614.3047,  Classification Accuracy: 100.00
Epoch: [107/150], Step [200/469], Loss: 17449.4883,  Classification Accuracy: 100.00
Epoch: [107/150], Step [300/469], Loss: 17602.1582,  Classification Accuracy: 99.22
Epoch: [107/150], Step [400/469], Loss: 17812.7578,  Classification Accuracy: 100.00
Epoch: [108/150], Step [100/469], Loss: 18796.5781,  Classification Accuracy: 100.00
Epoch: [108/150], Step [200/469], Loss: 18464.8008,  Classification Accuracy: 100.00
Epoch: [108/150], Step [300/469], Loss: 17501.2090,  Classification Accuracy: 99.22
Epoch: [108/150], Step [400/469], Loss: 17142.0664,  Classification Accuracy: 100.00
Epoch: [109/150], Step [100/469], Loss: 18373.5840,  Classification Accuracy: 98.44
Epoch: [109/150], Step [200/469], Loss: 17828.9746,  Classification Accuracy: 100.00
Epoch: [109/150], Step [300/469], Loss: 18327.2324,  Classification Accuracy: 100.00
Epoch: [109/150], Step [400/469], Loss: 17927.7480,  Classification Accuracy: 99.22
Epoch: [110/150], Step [100/469], Loss: 18301.2637,  Classification Accuracy: 100.00
Epoch: [110/150], Step [200/469], Loss: 18648.7246,  Classification Accuracy: 99.22
Epoch: [110/150], Step [300/469], Loss: 18861.9922,  Classification Accuracy: 100.00
Epoch: [110/150], Step [400/469], Loss: 17178.4453,  Classification Accuracy: 100.00
Epoch: [111/150], Step [100/469], Loss: 18579.2539,  Classification Accuracy: 100.00
Epoch: [111/150], Step [200/469], Loss: 18505.2812,  Classification Accuracy: 100.00
Epoch: [111/150], Step [300/469], Loss: 17940.1230,  Classification Accuracy: 98.44
Epoch: [111/150], Step [400/469], Loss: 18247.7031,  Classification Accuracy: 100.00
Epoch: [112/150], Step [100/469], Loss: 18677.5078,  Classification Accuracy: 100.00
Epoch: [112/150], Step [200/469], Loss: 18746.6367,  Classification Accuracy: 99.22
Epoch: [112/150], Step [300/469], Loss: 17810.4805,  Classification Accuracy: 100.00
Epoch: [112/150], Step [400/469], Loss: 18601.3750,  Classification Accuracy: 98.44
Epoch: [113/150], Step [100/469], Loss: 18018.3301,  Classification Accuracy: 99.22
Epoch: [113/150], Step [200/469], Loss: 17897.3887,  Classification Accuracy: 100.00
Epoch: [113/150], Step [300/469], Loss: 18271.4863,  Classification Accuracy: 99.22
Epoch: [113/150], Step [400/469], Loss: 17798.4902,  Classification Accuracy: 98.44
Epoch: [114/150], Step [100/469], Loss: 18358.5684,  Classification Accuracy: 100.00
Epoch: [114/150], Step [200/469], Loss: 17645.4590,  Classification Accuracy: 98.44
Epoch: [114/150], Step [300/469], Loss: 18203.9062,  Classification Accuracy: 99.22
Epoch: [114/150], Step [400/469], Loss: 17873.2480,  Classification Accuracy: 100.00
Epoch: [115/150], Step [100/469], Loss: 18532.4238,  Classification Accuracy: 100.00
Epoch: [115/150], Step [200/469], Loss: 18653.5723,  Classification Accuracy: 99.22
Epoch: [115/150], Step [300/469], Loss: 17329.5820,  Classification Accuracy: 100.00
Epoch: [115/150], Step [400/469], Loss: 18163.6152,  Classification Accuracy: 100.00
Epoch: [116/150], Step [100/469], Loss: 18082.0605,  Classification Accuracy: 100.00
Epoch: [116/150], Step [200/469], Loss: 18469.7305,  Classification Accuracy: 99.22
Epoch: [116/150], Step [300/469], Loss: 18434.3828,  Classification Accuracy: 97.66
Epoch: [116/150], Step [400/469], Loss: 17630.9863,  Classification Accuracy: 100.00
Epoch: [117/150], Step [100/469], Loss: 17303.0723,  Classification Accuracy: 99.22
Epoch: [117/150], Step [200/469], Loss: 17924.8340,  Classification Accuracy: 100.00
Epoch: [117/150], Step [300/469], Loss: 18166.1309,  Classification Accuracy: 100.00
Epoch: [117/150], Step [400/469], Loss: 18737.6250,  Classification Accuracy: 100.00
Epoch: [118/150], Step [100/469], Loss: 17649.2227,  Classification Accuracy: 100.00
Epoch: [118/150], Step [200/469], Loss: 18019.9922,  Classification Accuracy: 100.00
Epoch: [118/150], Step [300/469], Loss: 19006.5273,  Classification Accuracy: 100.00
Epoch: [118/150], Step [400/469], Loss: 18525.2207,  Classification Accuracy: 100.00
Epoch: [119/150], Step [100/469], Loss: 18437.6699,  Classification Accuracy: 100.00
Epoch: [119/150], Step [200/469], Loss: 18051.9844,  Classification Accuracy: 100.00
Epoch: [119/150], Step [300/469], Loss: 18368.4316,  Classification Accuracy: 99.22
Epoch: [119/150], Step [400/469], Loss: 17972.2129,  Classification Accuracy: 100.00
Epoch: [120/150], Step [100/469], Loss: 17902.0547,  Classification Accuracy: 98.44
Epoch: [120/150], Step [200/469], Loss: 17582.8672,  Classification Accuracy: 98.44
Epoch: [120/150], Step [300/469], Loss: 18212.4180,  Classification Accuracy: 100.00
Epoch: [120/150], Step [400/469], Loss: 18942.3184,  Classification Accuracy: 100.00
Epoch: [121/150], Step [100/469], Loss: 17958.0254,  Classification Accuracy: 99.22
Epoch: [121/150], Step [200/469], Loss: 17781.6133,  Classification Accuracy: 100.00
Epoch: [121/150], Step [300/469], Loss: 17679.0039,  Classification Accuracy: 99.22
Epoch: [121/150], Step [400/469], Loss: 18428.7812,  Classification Accuracy: 100.00
Epoch: [122/150], Step [100/469], Loss: 17882.5781,  Classification Accuracy: 100.00
Epoch: [122/150], Step [200/469], Loss: 17040.3906,  Classification Accuracy: 100.00
Epoch: [122/150], Step [300/469], Loss: 17367.0801,  Classification Accuracy: 100.00
Epoch: [122/150], Step [400/469], Loss: 17431.4805,  Classification Accuracy: 99.22
Epoch: [123/150], Step [100/469], Loss: 18586.0488,  Classification Accuracy: 98.44
Epoch: [123/150], Step [200/469], Loss: 17583.3398,  Classification Accuracy: 100.00
Epoch: [123/150], Step [300/469], Loss: 18195.4473,  Classification Accuracy: 99.22
Epoch: [123/150], Step [400/469], Loss: 18581.3066,  Classification Accuracy: 99.22
Epoch: [124/150], Step [100/469], Loss: 17915.9492,  Classification Accuracy: 99.22
Epoch: [124/150], Step [200/469], Loss: 17474.0371,  Classification Accuracy: 99.22
Epoch: [124/150], Step [300/469], Loss: 18174.1660,  Classification Accuracy: 100.00
Epoch: [124/150], Step [400/469], Loss: 18079.6699,  Classification Accuracy: 99.22
Epoch: [125/150], Step [100/469], Loss: 17726.4277,  Classification Accuracy: 100.00
Epoch: [125/150], Step [200/469], Loss: 17807.9082,  Classification Accuracy: 100.00
Epoch: [125/150], Step [300/469], Loss: 17430.8477,  Classification Accuracy: 99.22
Epoch: [125/150], Step [400/469], Loss: 18238.2520,  Classification Accuracy: 100.00
Epoch: [126/150], Step [100/469], Loss: 17997.2695,  Classification Accuracy: 100.00
Epoch: [126/150], Step [200/469], Loss: 18101.0234,  Classification Accuracy: 100.00
Epoch: [126/150], Step [300/469], Loss: 18296.6895,  Classification Accuracy: 99.22
Epoch: [126/150], Step [400/469], Loss: 17590.8047,  Classification Accuracy: 99.22
Epoch: [127/150], Step [100/469], Loss: 18381.1289,  Classification Accuracy: 100.00
Epoch: [127/150], Step [200/469], Loss: 18908.2168,  Classification Accuracy: 100.00
Epoch: [127/150], Step [300/469], Loss: 17325.2500,  Classification Accuracy: 100.00
Epoch: [127/150], Step [400/469], Loss: 17989.1914,  Classification Accuracy: 100.00
Epoch: [128/150], Step [100/469], Loss: 17455.5352,  Classification Accuracy: 99.22
Epoch: [128/150], Step [200/469], Loss: 19110.9492,  Classification Accuracy: 100.00
Epoch: [128/150], Step [300/469], Loss: 18230.0605,  Classification Accuracy: 99.22
Epoch: [128/150], Step [400/469], Loss: 18121.3633,  Classification Accuracy: 99.22
Epoch: [129/150], Step [100/469], Loss: 17955.4004,  Classification Accuracy: 99.22
Epoch: [129/150], Step [200/469], Loss: 18391.6270,  Classification Accuracy: 100.00
Epoch: [129/150], Step [300/469], Loss: 17968.5781,  Classification Accuracy: 100.00
Epoch: [129/150], Step [400/469], Loss: 18227.9473,  Classification Accuracy: 100.00
Epoch: [130/150], Step [100/469], Loss: 18579.4531,  Classification Accuracy: 99.22
Epoch: [130/150], Step [200/469], Loss: 18322.4629,  Classification Accuracy: 98.44
Epoch: [130/150], Step [300/469], Loss: 18015.8008,  Classification Accuracy: 100.00
Epoch: [130/150], Step [400/469], Loss: 18791.5508,  Classification Accuracy: 100.00
Epoch: [131/150], Step [100/469], Loss: 17761.3691,  Classification Accuracy: 99.22
Epoch: [131/150], Step [200/469], Loss: 18746.9863,  Classification Accuracy: 100.00
Epoch: [131/150], Step [300/469], Loss: 17154.9453,  Classification Accuracy: 100.00
Epoch: [131/150], Step [400/469], Loss: 18523.4414,  Classification Accuracy: 100.00
Epoch: [132/150], Step [100/469], Loss: 17576.3203,  Classification Accuracy: 99.22
Epoch: [132/150], Step [200/469], Loss: 18740.6797,  Classification Accuracy: 99.22
Epoch: [132/150], Step [300/469], Loss: 18587.4824,  Classification Accuracy: 99.22
Epoch: [132/150], Step [400/469], Loss: 17737.8984,  Classification Accuracy: 98.44
Epoch: [133/150], Step [100/469], Loss: 17196.8867,  Classification Accuracy: 100.00
Epoch: [133/150], Step [200/469], Loss: 18137.1074,  Classification Accuracy: 100.00
Epoch: [133/150], Step [300/469], Loss: 17278.1211,  Classification Accuracy: 98.44
Epoch: [133/150], Step [400/469], Loss: 17321.6406,  Classification Accuracy: 100.00
Epoch: [134/150], Step [100/469], Loss: 17737.9746,  Classification Accuracy: 100.00
Epoch: [134/150], Step [200/469], Loss: 18880.1191,  Classification Accuracy: 100.00
Epoch: [134/150], Step [300/469], Loss: 18038.8887,  Classification Accuracy: 99.22
Epoch: [134/150], Step [400/469], Loss: 18463.6543,  Classification Accuracy: 100.00
Epoch: [135/150], Step [100/469], Loss: 18134.2383,  Classification Accuracy: 100.00
Epoch: [135/150], Step [200/469], Loss: 17546.0684,  Classification Accuracy: 100.00
Epoch: [135/150], Step [300/469], Loss: 17508.4160,  Classification Accuracy: 100.00
Epoch: [135/150], Step [400/469], Loss: 18266.6758,  Classification Accuracy: 100.00
Epoch: [136/150], Step [100/469], Loss: 16735.7812,  Classification Accuracy: 100.00
Epoch: [136/150], Step [200/469], Loss: 18649.9297,  Classification Accuracy: 100.00
Epoch: [136/150], Step [300/469], Loss: 18074.9316,  Classification Accuracy: 99.22
Epoch: [136/150], Step [400/469], Loss: 18838.5566,  Classification Accuracy: 99.22
Epoch: [137/150], Step [100/469], Loss: 18178.5684,  Classification Accuracy: 99.22
Epoch: [137/150], Step [200/469], Loss: 18400.2324,  Classification Accuracy: 100.00
Epoch: [137/150], Step [300/469], Loss: 17541.1445,  Classification Accuracy: 99.22
Epoch: [137/150], Step [400/469], Loss: 18504.3867,  Classification Accuracy: 100.00
Epoch: [138/150], Step [100/469], Loss: 18395.9980,  Classification Accuracy: 100.00
Epoch: [138/150], Step [200/469], Loss: 18154.5801,  Classification Accuracy: 100.00
Epoch: [138/150], Step [300/469], Loss: 18253.2871,  Classification Accuracy: 100.00
Epoch: [138/150], Step [400/469], Loss: 17929.4375,  Classification Accuracy: 100.00
Epoch: [139/150], Step [100/469], Loss: 18052.3594,  Classification Accuracy: 100.00
Epoch: [139/150], Step [200/469], Loss: 17680.8926,  Classification Accuracy: 100.00
Epoch: [139/150], Step [300/469], Loss: 18067.3594,  Classification Accuracy: 100.00
Epoch: [139/150], Step [400/469], Loss: 18296.6289,  Classification Accuracy: 100.00
Epoch: [140/150], Step [100/469], Loss: 17321.4902,  Classification Accuracy: 100.00
Epoch: [140/150], Step [200/469], Loss: 17828.6445,  Classification Accuracy: 100.00
Epoch: [140/150], Step [300/469], Loss: 18396.0996,  Classification Accuracy: 100.00
Epoch: [140/150], Step [400/469], Loss: 18470.7598,  Classification Accuracy: 100.00
Epoch: [141/150], Step [100/469], Loss: 17418.2949,  Classification Accuracy: 99.22
Epoch: [141/150], Step [200/469], Loss: 17697.6211,  Classification Accuracy: 99.22
Epoch: [141/150], Step [300/469], Loss: 18095.0176,  Classification Accuracy: 100.00
Epoch: [141/150], Step [400/469], Loss: 18080.3594,  Classification Accuracy: 100.00
Epoch: [142/150], Step [100/469], Loss: 18282.4883,  Classification Accuracy: 100.00
Epoch: [142/150], Step [200/469], Loss: 18666.6016,  Classification Accuracy: 100.00
Epoch: [142/150], Step [300/469], Loss: 17932.6680,  Classification Accuracy: 98.44
Epoch: [142/150], Step [400/469], Loss: 18186.1680,  Classification Accuracy: 100.00
Epoch: [143/150], Step [100/469], Loss: 17434.9121,  Classification Accuracy: 100.00
Epoch: [143/150], Step [200/469], Loss: 17681.8086,  Classification Accuracy: 100.00
Epoch: [143/150], Step [300/469], Loss: 17779.9551,  Classification Accuracy: 99.22
Epoch: [143/150], Step [400/469], Loss: 18531.0156,  Classification Accuracy: 99.22
Epoch: [144/150], Step [100/469], Loss: 17926.2070,  Classification Accuracy: 99.22
Epoch: [144/150], Step [200/469], Loss: 18227.8457,  Classification Accuracy: 99.22
Epoch: [144/150], Step [300/469], Loss: 18154.1855,  Classification Accuracy: 100.00
Epoch: [144/150], Step [400/469], Loss: 17875.5586,  Classification Accuracy: 100.00
Epoch: [145/150], Step [100/469], Loss: 17205.4434,  Classification Accuracy: 100.00
Epoch: [145/150], Step [200/469], Loss: 18592.4336,  Classification Accuracy: 100.00
Epoch: [145/150], Step [300/469], Loss: 18481.3906,  Classification Accuracy: 100.00
Epoch: [145/150], Step [400/469], Loss: 17743.2324,  Classification Accuracy: 100.00
Epoch: [146/150], Step [100/469], Loss: 18169.6543,  Classification Accuracy: 100.00
Epoch: [146/150], Step [200/469], Loss: 17749.8711,  Classification Accuracy: 98.44
Epoch: [146/150], Step [300/469], Loss: 18295.8945,  Classification Accuracy: 100.00
Epoch: [146/150], Step [400/469], Loss: 18377.8047,  Classification Accuracy: 100.00
Epoch: [147/150], Step [100/469], Loss: 18139.5977,  Classification Accuracy: 100.00
Epoch: [147/150], Step [200/469], Loss: 17765.3418,  Classification Accuracy: 99.22
Epoch: [147/150], Step [300/469], Loss: 18137.9355,  Classification Accuracy: 100.00
Epoch: [147/150], Step [400/469], Loss: 16704.0156,  Classification Accuracy: 99.22
Epoch: [148/150], Step [100/469], Loss: 17172.9141,  Classification Accuracy: 100.00
Epoch: [148/150], Step [200/469], Loss: 17601.3867,  Classification Accuracy: 99.22
Epoch: [148/150], Step [300/469], Loss: 16923.2793,  Classification Accuracy: 100.00
Epoch: [148/150], Step [400/469], Loss: 18496.8809,  Classification Accuracy: 100.00
Epoch: [149/150], Step [100/469], Loss: 17540.0801,  Classification Accuracy: 99.22
Epoch: [149/150], Step [200/469], Loss: 17530.4590,  Classification Accuracy: 99.22
Epoch: [149/150], Step [300/469], Loss: 17193.5684,  Classification Accuracy: 100.00
Epoch: [149/150], Step [400/469], Loss: 17702.1582,  Classification Accuracy: 99.22
Accuracy of the network on the 10000 test images: 98.4700 %
The average reconstruction loss on the network is 377697
Lambda: 0.5
Epoch: [0/150], Step [100/469], Loss: 12316.5205,  Classification Accuracy: 93.75
Epoch: [0/150], Step [200/469], Loss: 11321.9580,  Classification Accuracy: 92.19
Epoch: [0/150], Step [300/469], Loss: 11302.0527,  Classification Accuracy: 92.97
Epoch: [0/150], Step [400/469], Loss: 11052.7500,  Classification Accuracy: 96.88
Epoch: [1/150], Step [100/469], Loss: 11031.3623,  Classification Accuracy: 96.09
Epoch: [1/150], Step [200/469], Loss: 10461.6152,  Classification Accuracy: 96.88
Epoch: [1/150], Step [300/469], Loss: 10388.9092,  Classification Accuracy: 99.22
Epoch: [1/150], Step [400/469], Loss: 11071.6963,  Classification Accuracy: 93.75
Epoch: [2/150], Step [100/469], Loss: 10259.5693,  Classification Accuracy: 97.66
Epoch: [2/150], Step [200/469], Loss: 10674.2598,  Classification Accuracy: 96.09
Epoch: [2/150], Step [300/469], Loss: 10670.9707,  Classification Accuracy: 94.53
Epoch: [2/150], Step [400/469], Loss: 10455.9902,  Classification Accuracy: 97.66
Epoch: [3/150], Step [100/469], Loss: 10211.7217,  Classification Accuracy: 100.00
Epoch: [3/150], Step [200/469], Loss: 10693.5674,  Classification Accuracy: 99.22
Epoch: [3/150], Step [300/469], Loss: 10647.7480,  Classification Accuracy: 98.44
Epoch: [3/150], Step [400/469], Loss: 10543.0371,  Classification Accuracy: 100.00
Epoch: [4/150], Step [100/469], Loss: 10023.3643,  Classification Accuracy: 97.66
Epoch: [4/150], Step [200/469], Loss: 10340.7627,  Classification Accuracy: 96.09
Epoch: [4/150], Step [300/469], Loss: 10552.8486,  Classification Accuracy: 98.44
Epoch: [4/150], Step [400/469], Loss: 9929.5234,  Classification Accuracy: 98.44
Epoch: [5/150], Step [100/469], Loss: 10045.4102,  Classification Accuracy: 99.22
Epoch: [5/150], Step [200/469], Loss: 10493.7959,  Classification Accuracy: 96.09
Epoch: [5/150], Step [300/469], Loss: 10169.2383,  Classification Accuracy: 98.44
Epoch: [5/150], Step [400/469], Loss: 9742.2520,  Classification Accuracy: 99.22
Epoch: [6/150], Step [100/469], Loss: 10070.6045,  Classification Accuracy: 99.22
Epoch: [6/150], Step [200/469], Loss: 10150.5215,  Classification Accuracy: 99.22
Epoch: [6/150], Step [300/469], Loss: 10875.0605,  Classification Accuracy: 98.44
Epoch: [6/150], Step [400/469], Loss: 9897.1514,  Classification Accuracy: 98.44
Epoch: [7/150], Step [100/469], Loss: 9922.4307,  Classification Accuracy: 97.66
Epoch: [7/150], Step [200/469], Loss: 9639.9512,  Classification Accuracy: 96.88
Epoch: [7/150], Step [300/469], Loss: 9779.8184,  Classification Accuracy: 98.44
Epoch: [7/150], Step [400/469], Loss: 10334.9697,  Classification Accuracy: 100.00
Epoch: [8/150], Step [100/469], Loss: 9939.6914,  Classification Accuracy: 99.22
Epoch: [8/150], Step [200/469], Loss: 9905.8467,  Classification Accuracy: 99.22
Epoch: [8/150], Step [300/469], Loss: 10094.5635,  Classification Accuracy: 100.00
Epoch: [8/150], Step [400/469], Loss: 9566.7949,  Classification Accuracy: 99.22
Epoch: [9/150], Step [100/469], Loss: 9563.4092,  Classification Accuracy: 98.44
Epoch: [9/150], Step [200/469], Loss: 10008.7295,  Classification Accuracy: 99.22
Epoch: [9/150], Step [300/469], Loss: 10189.6494,  Classification Accuracy: 97.66
Epoch: [9/150], Step [400/469], Loss: 10459.8359,  Classification Accuracy: 98.44
Epoch: [10/150], Step [100/469], Loss: 9967.1797,  Classification Accuracy: 97.66
Epoch: [10/150], Step [200/469], Loss: 10024.7588,  Classification Accuracy: 97.66
Epoch: [10/150], Step [300/469], Loss: 9964.3330,  Classification Accuracy: 100.00
Epoch: [10/150], Step [400/469], Loss: 9648.5566,  Classification Accuracy: 99.22
Epoch: [11/150], Step [100/469], Loss: 9605.6250,  Classification Accuracy: 98.44
Epoch: [11/150], Step [200/469], Loss: 9578.6621,  Classification Accuracy: 100.00
Epoch: [11/150], Step [300/469], Loss: 9631.4502,  Classification Accuracy: 97.66
Epoch: [11/150], Step [400/469], Loss: 9380.7012,  Classification Accuracy: 99.22
Epoch: [12/150], Step [100/469], Loss: 9360.0879,  Classification Accuracy: 99.22
Epoch: [12/150], Step [200/469], Loss: 9573.7998,  Classification Accuracy: 99.22
Epoch: [12/150], Step [300/469], Loss: 9315.9980,  Classification Accuracy: 100.00
Epoch: [12/150], Step [400/469], Loss: 10027.3271,  Classification Accuracy: 100.00
Epoch: [13/150], Step [100/469], Loss: 9787.5898,  Classification Accuracy: 99.22
Epoch: [13/150], Step [200/469], Loss: 10354.7744,  Classification Accuracy: 100.00
Epoch: [13/150], Step [300/469], Loss: 9509.3926,  Classification Accuracy: 100.00
Epoch: [13/150], Step [400/469], Loss: 9994.5146,  Classification Accuracy: 98.44
Epoch: [14/150], Step [100/469], Loss: 9926.8594,  Classification Accuracy: 98.44
Epoch: [14/150], Step [200/469], Loss: 9955.0303,  Classification Accuracy: 100.00
Epoch: [14/150], Step [300/469], Loss: 10167.4824,  Classification Accuracy: 98.44
Epoch: [14/150], Step [400/469], Loss: 10294.4814,  Classification Accuracy: 99.22
Epoch: [15/150], Step [100/469], Loss: 9687.9512,  Classification Accuracy: 100.00
Epoch: [15/150], Step [200/469], Loss: 9966.1465,  Classification Accuracy: 100.00
Epoch: [15/150], Step [300/469], Loss: 9521.3818,  Classification Accuracy: 98.44
Epoch: [15/150], Step [400/469], Loss: 9817.1660,  Classification Accuracy: 98.44
Epoch: [16/150], Step [100/469], Loss: 9521.0615,  Classification Accuracy: 99.22
Epoch: [16/150], Step [200/469], Loss: 9541.0283,  Classification Accuracy: 100.00
Epoch: [16/150], Step [300/469], Loss: 9445.4346,  Classification Accuracy: 99.22
Epoch: [16/150], Step [400/469], Loss: 9417.2285,  Classification Accuracy: 100.00
Epoch: [17/150], Step [100/469], Loss: 9560.3301,  Classification Accuracy: 99.22
Epoch: [17/150], Step [200/469], Loss: 9237.5273,  Classification Accuracy: 100.00
Epoch: [17/150], Step [300/469], Loss: 9545.4141,  Classification Accuracy: 99.22
Epoch: [17/150], Step [400/469], Loss: 10165.7217,  Classification Accuracy: 100.00
Epoch: [18/150], Step [100/469], Loss: 9643.3555,  Classification Accuracy: 99.22
Epoch: [18/150], Step [200/469], Loss: 9842.7861,  Classification Accuracy: 99.22
Epoch: [18/150], Step [300/469], Loss: 9453.1699,  Classification Accuracy: 98.44
Epoch: [18/150], Step [400/469], Loss: 9071.0400,  Classification Accuracy: 99.22
Epoch: [19/150], Step [100/469], Loss: 10194.4053,  Classification Accuracy: 99.22
Epoch: [19/150], Step [200/469], Loss: 9256.3984,  Classification Accuracy: 98.44
Epoch: [19/150], Step [300/469], Loss: 9681.1885,  Classification Accuracy: 100.00
Epoch: [19/150], Step [400/469], Loss: 9496.5332,  Classification Accuracy: 99.22
Epoch: [20/150], Step [100/469], Loss: 9677.8535,  Classification Accuracy: 99.22
Epoch: [20/150], Step [200/469], Loss: 8906.1045,  Classification Accuracy: 100.00
Epoch: [20/150], Step [300/469], Loss: 9630.7754,  Classification Accuracy: 100.00
Epoch: [20/150], Step [400/469], Loss: 9722.7930,  Classification Accuracy: 98.44
Epoch: [21/150], Step [100/469], Loss: 9985.1055,  Classification Accuracy: 100.00
Epoch: [21/150], Step [200/469], Loss: 9626.5996,  Classification Accuracy: 99.22
Epoch: [21/150], Step [300/469], Loss: 9959.5693,  Classification Accuracy: 99.22
Epoch: [21/150], Step [400/469], Loss: 9905.4443,  Classification Accuracy: 99.22
Epoch: [22/150], Step [100/469], Loss: 9471.1787,  Classification Accuracy: 100.00
Epoch: [22/150], Step [200/469], Loss: 9863.1377,  Classification Accuracy: 100.00
Epoch: [22/150], Step [300/469], Loss: 10239.8740,  Classification Accuracy: 99.22
Epoch: [22/150], Step [400/469], Loss: 10090.0488,  Classification Accuracy: 100.00
Epoch: [23/150], Step [100/469], Loss: 9864.6904,  Classification Accuracy: 100.00
Epoch: [23/150], Step [200/469], Loss: 9742.6836,  Classification Accuracy: 99.22
Epoch: [23/150], Step [300/469], Loss: 9515.7197,  Classification Accuracy: 99.22
Epoch: [23/150], Step [400/469], Loss: 9889.1250,  Classification Accuracy: 100.00
Epoch: [24/150], Step [100/469], Loss: 9881.4092,  Classification Accuracy: 99.22
Epoch: [24/150], Step [200/469], Loss: 9369.0547,  Classification Accuracy: 100.00
Epoch: [24/150], Step [300/469], Loss: 8954.0010,  Classification Accuracy: 99.22
Epoch: [24/150], Step [400/469], Loss: 10099.3857,  Classification Accuracy: 99.22
Epoch: [25/150], Step [100/469], Loss: 9889.7520,  Classification Accuracy: 100.00
Epoch: [25/150], Step [200/469], Loss: 10346.2783,  Classification Accuracy: 100.00
Epoch: [25/150], Step [300/469], Loss: 9861.5518,  Classification Accuracy: 100.00
Epoch: [25/150], Step [400/469], Loss: 10013.6025,  Classification Accuracy: 100.00
Epoch: [26/150], Step [100/469], Loss: 9453.5684,  Classification Accuracy: 100.00
Epoch: [26/150], Step [200/469], Loss: 9597.4629,  Classification Accuracy: 98.44
Epoch: [26/150], Step [300/469], Loss: 9377.0605,  Classification Accuracy: 99.22
Epoch: [26/150], Step [400/469], Loss: 9155.5586,  Classification Accuracy: 99.22
Epoch: [27/150], Step [100/469], Loss: 9573.4668,  Classification Accuracy: 99.22
Epoch: [27/150], Step [200/469], Loss: 9679.3926,  Classification Accuracy: 100.00
Epoch: [27/150], Step [300/469], Loss: 9521.2266,  Classification Accuracy: 99.22
Epoch: [27/150], Step [400/469], Loss: 9514.9062,  Classification Accuracy: 100.00
Epoch: [28/150], Step [100/469], Loss: 9721.1807,  Classification Accuracy: 100.00
Epoch: [28/150], Step [200/469], Loss: 9658.0117,  Classification Accuracy: 99.22
Epoch: [28/150], Step [300/469], Loss: 9036.9141,  Classification Accuracy: 99.22
Epoch: [28/150], Step [400/469], Loss: 9617.7393,  Classification Accuracy: 99.22
Epoch: [29/150], Step [100/469], Loss: 9974.3750,  Classification Accuracy: 98.44
Epoch: [29/150], Step [200/469], Loss: 10184.4463,  Classification Accuracy: 100.00
Epoch: [29/150], Step [300/469], Loss: 8921.7285,  Classification Accuracy: 99.22
Epoch: [29/150], Step [400/469], Loss: 9581.0234,  Classification Accuracy: 100.00
Epoch: [30/150], Step [100/469], Loss: 9147.0371,  Classification Accuracy: 100.00
Epoch: [30/150], Step [200/469], Loss: 9620.7314,  Classification Accuracy: 100.00
Epoch: [30/150], Step [300/469], Loss: 9693.6836,  Classification Accuracy: 99.22
Epoch: [30/150], Step [400/469], Loss: 9875.3203,  Classification Accuracy: 98.44
Epoch: [31/150], Step [100/469], Loss: 10063.2529,  Classification Accuracy: 100.00
Epoch: [31/150], Step [200/469], Loss: 9427.3369,  Classification Accuracy: 100.00
Epoch: [31/150], Step [300/469], Loss: 9356.4248,  Classification Accuracy: 100.00
Epoch: [31/150], Step [400/469], Loss: 9227.4863,  Classification Accuracy: 99.22
Epoch: [32/150], Step [100/469], Loss: 9204.7881,  Classification Accuracy: 100.00
Epoch: [32/150], Step [200/469], Loss: 9915.5283,  Classification Accuracy: 100.00
Epoch: [32/150], Step [300/469], Loss: 9086.0469,  Classification Accuracy: 99.22
Epoch: [32/150], Step [400/469], Loss: 9297.7178,  Classification Accuracy: 99.22
Epoch: [33/150], Step [100/469], Loss: 9148.8018,  Classification Accuracy: 100.00
Epoch: [33/150], Step [200/469], Loss: 9707.4160,  Classification Accuracy: 99.22
Epoch: [33/150], Step [300/469], Loss: 9419.3320,  Classification Accuracy: 100.00
Epoch: [33/150], Step [400/469], Loss: 9567.4043,  Classification Accuracy: 100.00
Epoch: [34/150], Step [100/469], Loss: 9819.0771,  Classification Accuracy: 100.00
Epoch: [34/150], Step [200/469], Loss: 9265.0947,  Classification Accuracy: 100.00
Epoch: [34/150], Step [300/469], Loss: 9970.8857,  Classification Accuracy: 100.00
Epoch: [34/150], Step [400/469], Loss: 9624.4600,  Classification Accuracy: 100.00
Epoch: [35/150], Step [100/469], Loss: 9610.9697,  Classification Accuracy: 100.00
Epoch: [35/150], Step [200/469], Loss: 9575.0088,  Classification Accuracy: 100.00
Epoch: [35/150], Step [300/469], Loss: 9192.3701,  Classification Accuracy: 98.44
Epoch: [35/150], Step [400/469], Loss: 9754.2754,  Classification Accuracy: 99.22
Epoch: [36/150], Step [100/469], Loss: 9593.9482,  Classification Accuracy: 100.00
Epoch: [36/150], Step [200/469], Loss: 9432.4072,  Classification Accuracy: 100.00
Epoch: [36/150], Step [300/469], Loss: 9411.0615,  Classification Accuracy: 99.22
Epoch: [36/150], Step [400/469], Loss: 9466.5869,  Classification Accuracy: 100.00
Epoch: [37/150], Step [100/469], Loss: 9293.9111,  Classification Accuracy: 100.00
Epoch: [37/150], Step [200/469], Loss: 9426.4668,  Classification Accuracy: 100.00
Epoch: [37/150], Step [300/469], Loss: 9427.0010,  Classification Accuracy: 99.22
Epoch: [37/150], Step [400/469], Loss: 9287.8047,  Classification Accuracy: 100.00
Epoch: [38/150], Step [100/469], Loss: 9344.5371,  Classification Accuracy: 100.00
Epoch: [38/150], Step [200/469], Loss: 9709.4844,  Classification Accuracy: 100.00
Epoch: [38/150], Step [300/469], Loss: 9065.9287,  Classification Accuracy: 100.00
Epoch: [38/150], Step [400/469], Loss: 10181.4707,  Classification Accuracy: 99.22
Epoch: [39/150], Step [100/469], Loss: 9305.4648,  Classification Accuracy: 100.00
Epoch: [39/150], Step [200/469], Loss: 9795.9033,  Classification Accuracy: 100.00
Epoch: [39/150], Step [300/469], Loss: 9596.3760,  Classification Accuracy: 99.22
Epoch: [39/150], Step [400/469], Loss: 8954.0684,  Classification Accuracy: 100.00
Epoch: [40/150], Step [100/469], Loss: 9476.4541,  Classification Accuracy: 100.00
Epoch: [40/150], Step [200/469], Loss: 9214.3037,  Classification Accuracy: 100.00
Epoch: [40/150], Step [300/469], Loss: 9460.5146,  Classification Accuracy: 100.00
Epoch: [40/150], Step [400/469], Loss: 9448.8711,  Classification Accuracy: 100.00
Epoch: [41/150], Step [100/469], Loss: 9523.5781,  Classification Accuracy: 99.22
Epoch: [41/150], Step [200/469], Loss: 9494.1299,  Classification Accuracy: 100.00
Epoch: [41/150], Step [300/469], Loss: 9370.2031,  Classification Accuracy: 100.00
Epoch: [41/150], Step [400/469], Loss: 9598.1992,  Classification Accuracy: 97.66
Epoch: [42/150], Step [100/469], Loss: 9402.2061,  Classification Accuracy: 100.00
Epoch: [42/150], Step [200/469], Loss: 9531.6309,  Classification Accuracy: 100.00
Epoch: [42/150], Step [300/469], Loss: 9354.8828,  Classification Accuracy: 100.00
Epoch: [42/150], Step [400/469], Loss: 9411.1582,  Classification Accuracy: 100.00
Epoch: [43/150], Step [100/469], Loss: 9067.0850,  Classification Accuracy: 100.00
Epoch: [43/150], Step [200/469], Loss: 9605.8311,  Classification Accuracy: 100.00
Epoch: [43/150], Step [300/469], Loss: 9175.7812,  Classification Accuracy: 99.22
Epoch: [43/150], Step [400/469], Loss: 9464.3994,  Classification Accuracy: 100.00
Epoch: [44/150], Step [100/469], Loss: 9201.8457,  Classification Accuracy: 99.22
Epoch: [44/150], Step [200/469], Loss: 9217.1406,  Classification Accuracy: 99.22
Epoch: [44/150], Step [300/469], Loss: 9809.0576,  Classification Accuracy: 100.00
Epoch: [44/150], Step [400/469], Loss: 9429.0000,  Classification Accuracy: 100.00
Epoch: [45/150], Step [100/469], Loss: 8795.0508,  Classification Accuracy: 100.00
Epoch: [45/150], Step [200/469], Loss: 9582.0420,  Classification Accuracy: 99.22
Epoch: [45/150], Step [300/469], Loss: 9605.2070,  Classification Accuracy: 100.00
Epoch: [45/150], Step [400/469], Loss: 10142.5332,  Classification Accuracy: 100.00
Epoch: [46/150], Step [100/469], Loss: 9363.9961,  Classification Accuracy: 100.00
Epoch: [46/150], Step [200/469], Loss: 9412.4219,  Classification Accuracy: 99.22
Epoch: [46/150], Step [300/469], Loss: 9483.8877,  Classification Accuracy: 100.00
Epoch: [46/150], Step [400/469], Loss: 9677.3965,  Classification Accuracy: 99.22
Epoch: [47/150], Step [100/469], Loss: 8983.9971,  Classification Accuracy: 100.00
Epoch: [47/150], Step [200/469], Loss: 9291.6602,  Classification Accuracy: 100.00
Epoch: [47/150], Step [300/469], Loss: 9652.2861,  Classification Accuracy: 100.00
Epoch: [47/150], Step [400/469], Loss: 9452.0684,  Classification Accuracy: 100.00
Epoch: [48/150], Step [100/469], Loss: 9606.6641,  Classification Accuracy: 99.22
Epoch: [48/150], Step [200/469], Loss: 9362.7920,  Classification Accuracy: 100.00
Epoch: [48/150], Step [300/469], Loss: 9317.1797,  Classification Accuracy: 99.22
Epoch: [48/150], Step [400/469], Loss: 9134.6543,  Classification Accuracy: 100.00
Epoch: [49/150], Step [100/469], Loss: 9228.1914,  Classification Accuracy: 100.00
Epoch: [49/150], Step [200/469], Loss: 9257.4248,  Classification Accuracy: 99.22
Epoch: [49/150], Step [300/469], Loss: 9316.4453,  Classification Accuracy: 100.00
Epoch: [49/150], Step [400/469], Loss: 9217.6084,  Classification Accuracy: 99.22
Epoch: [50/150], Step [100/469], Loss: 9209.0527,  Classification Accuracy: 99.22
Epoch: [50/150], Step [200/469], Loss: 9155.7754,  Classification Accuracy: 100.00
Epoch: [50/150], Step [300/469], Loss: 9295.1768,  Classification Accuracy: 100.00
Epoch: [50/150], Step [400/469], Loss: 8724.3623,  Classification Accuracy: 100.00
Epoch: [51/150], Step [100/469], Loss: 8898.5566,  Classification Accuracy: 100.00
Epoch: [51/150], Step [200/469], Loss: 9840.6211,  Classification Accuracy: 99.22
Epoch: [51/150], Step [300/469], Loss: 9151.1494,  Classification Accuracy: 100.00
Epoch: [51/150], Step [400/469], Loss: 9237.7832,  Classification Accuracy: 99.22
Epoch: [52/150], Step [100/469], Loss: 8996.0566,  Classification Accuracy: 100.00
Epoch: [52/150], Step [200/469], Loss: 8867.4912,  Classification Accuracy: 100.00
Epoch: [52/150], Step [300/469], Loss: 9489.2705,  Classification Accuracy: 100.00
Epoch: [52/150], Step [400/469], Loss: 9720.2656,  Classification Accuracy: 100.00
Epoch: [53/150], Step [100/469], Loss: 9534.9844,  Classification Accuracy: 100.00
Epoch: [53/150], Step [200/469], Loss: 9116.1562,  Classification Accuracy: 100.00
Epoch: [53/150], Step [300/469], Loss: 9273.2129,  Classification Accuracy: 99.22
Epoch: [53/150], Step [400/469], Loss: 9379.3691,  Classification Accuracy: 100.00
Epoch: [54/150], Step [100/469], Loss: 9068.8916,  Classification Accuracy: 100.00
Epoch: [54/150], Step [200/469], Loss: 9099.8193,  Classification Accuracy: 99.22
Epoch: [54/150], Step [300/469], Loss: 9542.4258,  Classification Accuracy: 100.00
Epoch: [54/150], Step [400/469], Loss: 9255.8818,  Classification Accuracy: 100.00
Epoch: [55/150], Step [100/469], Loss: 9239.0781,  Classification Accuracy: 98.44
Epoch: [55/150], Step [200/469], Loss: 9559.9922,  Classification Accuracy: 100.00
Epoch: [55/150], Step [300/469], Loss: 9322.1875,  Classification Accuracy: 100.00
Epoch: [55/150], Step [400/469], Loss: 9398.6475,  Classification Accuracy: 100.00
Epoch: [56/150], Step [100/469], Loss: 8807.7695,  Classification Accuracy: 100.00
Epoch: [56/150], Step [200/469], Loss: 9074.9512,  Classification Accuracy: 98.44
Epoch: [56/150], Step [300/469], Loss: 9980.0713,  Classification Accuracy: 100.00
Epoch: [56/150], Step [400/469], Loss: 9617.6514,  Classification Accuracy: 99.22
Epoch: [57/150], Step [100/469], Loss: 9307.5693,  Classification Accuracy: 99.22
Epoch: [57/150], Step [200/469], Loss: 9650.8545,  Classification Accuracy: 100.00
Epoch: [57/150], Step [300/469], Loss: 9340.9785,  Classification Accuracy: 100.00
Epoch: [57/150], Step [400/469], Loss: 9025.3975,  Classification Accuracy: 100.00
Epoch: [58/150], Step [100/469], Loss: 9019.5430,  Classification Accuracy: 99.22
Epoch: [58/150], Step [200/469], Loss: 9388.9580,  Classification Accuracy: 100.00
Epoch: [58/150], Step [300/469], Loss: 9245.7383,  Classification Accuracy: 99.22
Epoch: [58/150], Step [400/469], Loss: 9373.2012,  Classification Accuracy: 100.00
Epoch: [59/150], Step [100/469], Loss: 9370.6123,  Classification Accuracy: 100.00
Epoch: [59/150], Step [200/469], Loss: 9379.0156,  Classification Accuracy: 100.00
Epoch: [59/150], Step [300/469], Loss: 9686.1641,  Classification Accuracy: 98.44
Epoch: [59/150], Step [400/469], Loss: 9238.7559,  Classification Accuracy: 99.22
Epoch: [60/150], Step [100/469], Loss: 9413.0518,  Classification Accuracy: 100.00
Epoch: [60/150], Step [200/469], Loss: 9705.4443,  Classification Accuracy: 99.22
Epoch: [60/150], Step [300/469], Loss: 9141.1270,  Classification Accuracy: 99.22
Epoch: [60/150], Step [400/469], Loss: 9145.0986,  Classification Accuracy: 99.22
Epoch: [61/150], Step [100/469], Loss: 9235.5156,  Classification Accuracy: 100.00
Epoch: [61/150], Step [200/469], Loss: 9005.7090,  Classification Accuracy: 100.00
Epoch: [61/150], Step [300/469], Loss: 9438.2568,  Classification Accuracy: 99.22
Epoch: [61/150], Step [400/469], Loss: 8908.8223,  Classification Accuracy: 100.00
Epoch: [62/150], Step [100/469], Loss: 9238.5273,  Classification Accuracy: 100.00
Epoch: [62/150], Step [200/469], Loss: 8942.1777,  Classification Accuracy: 100.00
Epoch: [62/150], Step [300/469], Loss: 9695.9297,  Classification Accuracy: 99.22
Epoch: [62/150], Step [400/469], Loss: 9869.8896,  Classification Accuracy: 100.00
Epoch: [63/150], Step [100/469], Loss: 9297.0195,  Classification Accuracy: 100.00
Epoch: [63/150], Step [200/469], Loss: 8877.0830,  Classification Accuracy: 98.44
Epoch: [63/150], Step [300/469], Loss: 9768.2041,  Classification Accuracy: 100.00
Epoch: [63/150], Step [400/469], Loss: 9019.7744,  Classification Accuracy: 100.00
Epoch: [64/150], Step [100/469], Loss: 9470.6855,  Classification Accuracy: 99.22
Epoch: [64/150], Step [200/469], Loss: 9962.6064,  Classification Accuracy: 100.00
Epoch: [64/150], Step [300/469], Loss: 9254.6016,  Classification Accuracy: 100.00
Epoch: [64/150], Step [400/469], Loss: 9390.5576,  Classification Accuracy: 100.00
Epoch: [65/150], Step [100/469], Loss: 9094.6230,  Classification Accuracy: 99.22
Epoch: [65/150], Step [200/469], Loss: 9622.6191,  Classification Accuracy: 100.00
Epoch: [65/150], Step [300/469], Loss: 9485.3740,  Classification Accuracy: 100.00
Epoch: [65/150], Step [400/469], Loss: 9348.7617,  Classification Accuracy: 100.00
Epoch: [66/150], Step [100/469], Loss: 9529.5811,  Classification Accuracy: 100.00
Epoch: [66/150], Step [200/469], Loss: 9402.8770,  Classification Accuracy: 100.00
Epoch: [66/150], Step [300/469], Loss: 9603.3271,  Classification Accuracy: 100.00
Epoch: [66/150], Step [400/469], Loss: 9155.7285,  Classification Accuracy: 100.00
Epoch: [67/150], Step [100/469], Loss: 9302.8311,  Classification Accuracy: 100.00
Epoch: [67/150], Step [200/469], Loss: 9688.2500,  Classification Accuracy: 100.00
Epoch: [67/150], Step [300/469], Loss: 9026.6074,  Classification Accuracy: 99.22
Epoch: [67/150], Step [400/469], Loss: 9140.7305,  Classification Accuracy: 100.00
Epoch: [68/150], Step [100/469], Loss: 9286.0137,  Classification Accuracy: 100.00
Epoch: [68/150], Step [200/469], Loss: 9367.6719,  Classification Accuracy: 100.00
Epoch: [68/150], Step [300/469], Loss: 9118.7061,  Classification Accuracy: 100.00
Epoch: [68/150], Step [400/469], Loss: 9642.0635,  Classification Accuracy: 100.00
Epoch: [69/150], Step [100/469], Loss: 9022.7510,  Classification Accuracy: 99.22
Epoch: [69/150], Step [200/469], Loss: 8989.6260,  Classification Accuracy: 100.00
Epoch: [69/150], Step [300/469], Loss: 8966.9932,  Classification Accuracy: 99.22
Epoch: [69/150], Step [400/469], Loss: 9104.7520,  Classification Accuracy: 100.00
Epoch: [70/150], Step [100/469], Loss: 9289.3418,  Classification Accuracy: 100.00
Epoch: [70/150], Step [200/469], Loss: 9613.7744,  Classification Accuracy: 98.44
Epoch: [70/150], Step [300/469], Loss: 8822.0830,  Classification Accuracy: 98.44
Epoch: [70/150], Step [400/469], Loss: 9640.6357,  Classification Accuracy: 99.22
Epoch: [71/150], Step [100/469], Loss: 9166.9990,  Classification Accuracy: 100.00
Epoch: [71/150], Step [200/469], Loss: 9185.9229,  Classification Accuracy: 100.00
Epoch: [71/150], Step [300/469], Loss: 9078.3701,  Classification Accuracy: 100.00
Epoch: [71/150], Step [400/469], Loss: 9299.0996,  Classification Accuracy: 100.00
Epoch: [72/150], Step [100/469], Loss: 8857.1855,  Classification Accuracy: 98.44
Epoch: [72/150], Step [200/469], Loss: 9739.4492,  Classification Accuracy: 100.00
Epoch: [72/150], Step [300/469], Loss: 9644.6328,  Classification Accuracy: 100.00
Epoch: [72/150], Step [400/469], Loss: 8857.4639,  Classification Accuracy: 99.22
Epoch: [73/150], Step [100/469], Loss: 9652.6621,  Classification Accuracy: 100.00
Epoch: [73/150], Step [200/469], Loss: 9595.2939,  Classification Accuracy: 99.22
Epoch: [73/150], Step [300/469], Loss: 9082.0850,  Classification Accuracy: 100.00
Epoch: [73/150], Step [400/469], Loss: 9227.1582,  Classification Accuracy: 98.44
Epoch: [74/150], Step [100/469], Loss: 9515.2207,  Classification Accuracy: 100.00
Epoch: [74/150], Step [200/469], Loss: 8975.3750,  Classification Accuracy: 99.22
Epoch: [74/150], Step [300/469], Loss: 9924.0850,  Classification Accuracy: 100.00
Epoch: [74/150], Step [400/469], Loss: 9861.4482,  Classification Accuracy: 100.00
Epoch: [75/150], Step [100/469], Loss: 9022.4238,  Classification Accuracy: 100.00
Epoch: [75/150], Step [200/469], Loss: 9452.5205,  Classification Accuracy: 100.00
Epoch: [75/150], Step [300/469], Loss: 9208.7930,  Classification Accuracy: 100.00
Epoch: [75/150], Step [400/469], Loss: 9452.4385,  Classification Accuracy: 100.00
Epoch: [76/150], Step [100/469], Loss: 9683.7539,  Classification Accuracy: 100.00
Epoch: [76/150], Step [200/469], Loss: 9372.4434,  Classification Accuracy: 99.22
Epoch: [76/150], Step [300/469], Loss: 9273.5342,  Classification Accuracy: 100.00
Epoch: [76/150], Step [400/469], Loss: 9128.6787,  Classification Accuracy: 100.00
Epoch: [77/150], Step [100/469], Loss: 9145.6670,  Classification Accuracy: 100.00
Epoch: [77/150], Step [200/469], Loss: 8779.8262,  Classification Accuracy: 98.44
Epoch: [77/150], Step [300/469], Loss: 9087.0381,  Classification Accuracy: 100.00
Epoch: [77/150], Step [400/469], Loss: 9192.6289,  Classification Accuracy: 100.00
Epoch: [78/150], Step [100/469], Loss: 8967.7402,  Classification Accuracy: 100.00
Epoch: [78/150], Step [200/469], Loss: 8962.4561,  Classification Accuracy: 100.00
Epoch: [78/150], Step [300/469], Loss: 8871.5361,  Classification Accuracy: 100.00
Epoch: [78/150], Step [400/469], Loss: 9316.9453,  Classification Accuracy: 100.00
Epoch: [79/150], Step [100/469], Loss: 8878.3428,  Classification Accuracy: 98.44
Epoch: [79/150], Step [200/469], Loss: 8976.0303,  Classification Accuracy: 100.00
Epoch: [79/150], Step [300/469], Loss: 9209.7461,  Classification Accuracy: 100.00
Epoch: [79/150], Step [400/469], Loss: 9305.5312,  Classification Accuracy: 99.22
Epoch: [80/150], Step [100/469], Loss: 9164.7773,  Classification Accuracy: 100.00
Epoch: [80/150], Step [200/469], Loss: 9190.3457,  Classification Accuracy: 100.00
Epoch: [80/150], Step [300/469], Loss: 8987.6943,  Classification Accuracy: 100.00
Epoch: [80/150], Step [400/469], Loss: 9609.4951,  Classification Accuracy: 99.22
Epoch: [81/150], Step [100/469], Loss: 9076.4404,  Classification Accuracy: 100.00
Epoch: [81/150], Step [200/469], Loss: 8719.4121,  Classification Accuracy: 99.22
Epoch: [81/150], Step [300/469], Loss: 8617.2051,  Classification Accuracy: 100.00
Epoch: [81/150], Step [400/469], Loss: 9035.1826,  Classification Accuracy: 99.22
Epoch: [82/150], Step [100/469], Loss: 9102.3564,  Classification Accuracy: 99.22
Epoch: [82/150], Step [200/469], Loss: 9172.8574,  Classification Accuracy: 100.00
Epoch: [82/150], Step [300/469], Loss: 8987.3438,  Classification Accuracy: 100.00
Epoch: [82/150], Step [400/469], Loss: 9044.2402,  Classification Accuracy: 100.00
Epoch: [83/150], Step [100/469], Loss: 9358.6621,  Classification Accuracy: 100.00
Epoch: [83/150], Step [200/469], Loss: 9719.7471,  Classification Accuracy: 100.00
Epoch: [83/150], Step [300/469], Loss: 9272.6855,  Classification Accuracy: 99.22
Epoch: [83/150], Step [400/469], Loss: 9514.3379,  Classification Accuracy: 99.22
Epoch: [84/150], Step [100/469], Loss: 9332.1182,  Classification Accuracy: 99.22
Epoch: [84/150], Step [200/469], Loss: 9541.9531,  Classification Accuracy: 100.00
Epoch: [84/150], Step [300/469], Loss: 8893.2695,  Classification Accuracy: 99.22
Epoch: [84/150], Step [400/469], Loss: 9710.5811,  Classification Accuracy: 99.22
Epoch: [85/150], Step [100/469], Loss: 9012.1523,  Classification Accuracy: 100.00
Epoch: [85/150], Step [200/469], Loss: 9293.3057,  Classification Accuracy: 100.00
Epoch: [85/150], Step [300/469], Loss: 9370.3057,  Classification Accuracy: 100.00
Epoch: [85/150], Step [400/469], Loss: 9392.2539,  Classification Accuracy: 100.00
Epoch: [86/150], Step [100/469], Loss: 9006.3213,  Classification Accuracy: 99.22
Epoch: [86/150], Step [200/469], Loss: 9614.5859,  Classification Accuracy: 100.00
Epoch: [86/150], Step [300/469], Loss: 9418.1826,  Classification Accuracy: 100.00
Epoch: [86/150], Step [400/469], Loss: 9423.7002,  Classification Accuracy: 100.00
Epoch: [87/150], Step [100/469], Loss: 9333.0723,  Classification Accuracy: 100.00
Epoch: [87/150], Step [200/469], Loss: 9314.6309,  Classification Accuracy: 99.22
Epoch: [87/150], Step [300/469], Loss: 9469.7568,  Classification Accuracy: 99.22
Epoch: [87/150], Step [400/469], Loss: 9287.2441,  Classification Accuracy: 100.00
Epoch: [88/150], Step [100/469], Loss: 9513.4551,  Classification Accuracy: 100.00
Epoch: [88/150], Step [200/469], Loss: 8930.7686,  Classification Accuracy: 100.00
Epoch: [88/150], Step [300/469], Loss: 9179.6084,  Classification Accuracy: 100.00
Epoch: [88/150], Step [400/469], Loss: 9403.8525,  Classification Accuracy: 100.00
Epoch: [89/150], Step [100/469], Loss: 9434.1152,  Classification Accuracy: 100.00
Epoch: [89/150], Step [200/469], Loss: 9107.8936,  Classification Accuracy: 100.00
Epoch: [89/150], Step [300/469], Loss: 9738.7383,  Classification Accuracy: 100.00
Epoch: [89/150], Step [400/469], Loss: 9200.7217,  Classification Accuracy: 99.22
Epoch: [90/150], Step [100/469], Loss: 9276.1455,  Classification Accuracy: 100.00
Epoch: [90/150], Step [200/469], Loss: 9500.5176,  Classification Accuracy: 99.22
Epoch: [90/150], Step [300/469], Loss: 9233.1201,  Classification Accuracy: 100.00
Epoch: [90/150], Step [400/469], Loss: 9485.4580,  Classification Accuracy: 100.00
Epoch: [91/150], Step [100/469], Loss: 9112.3154,  Classification Accuracy: 100.00
Epoch: [91/150], Step [200/469], Loss: 9703.6885,  Classification Accuracy: 100.00
Epoch: [91/150], Step [300/469], Loss: 9428.6797,  Classification Accuracy: 100.00
Epoch: [91/150], Step [400/469], Loss: 9337.6172,  Classification Accuracy: 100.00
Epoch: [92/150], Step [100/469], Loss: 9115.4404,  Classification Accuracy: 98.44
Epoch: [92/150], Step [200/469], Loss: 9195.8535,  Classification Accuracy: 100.00
Epoch: [92/150], Step [300/469], Loss: 9876.8965,  Classification Accuracy: 100.00
Epoch: [92/150], Step [400/469], Loss: 9194.7207,  Classification Accuracy: 98.44
Epoch: [93/150], Step [100/469], Loss: 9011.7080,  Classification Accuracy: 99.22
Epoch: [93/150], Step [200/469], Loss: 9085.4814,  Classification Accuracy: 100.00
Epoch: [93/150], Step [300/469], Loss: 9112.5693,  Classification Accuracy: 100.00
Epoch: [93/150], Step [400/469], Loss: 9164.6953,  Classification Accuracy: 100.00
Epoch: [94/150], Step [100/469], Loss: 8759.3076,  Classification Accuracy: 100.00
Epoch: [94/150], Step [200/469], Loss: 9034.7959,  Classification Accuracy: 100.00
Epoch: [94/150], Step [300/469], Loss: 9424.6113,  Classification Accuracy: 100.00
Epoch: [94/150], Step [400/469], Loss: 9551.1338,  Classification Accuracy: 100.00
Epoch: [95/150], Step [100/469], Loss: 8828.2090,  Classification Accuracy: 100.00
Epoch: [95/150], Step [200/469], Loss: 8978.0244,  Classification Accuracy: 100.00
Epoch: [95/150], Step [300/469], Loss: 9334.7305,  Classification Accuracy: 100.00
Epoch: [95/150], Step [400/469], Loss: 8754.4854,  Classification Accuracy: 100.00
Epoch: [96/150], Step [100/469], Loss: 9129.2383,  Classification Accuracy: 100.00
Epoch: [96/150], Step [200/469], Loss: 9140.7998,  Classification Accuracy: 100.00
Epoch: [96/150], Step [300/469], Loss: 8926.8506,  Classification Accuracy: 98.44
Epoch: [96/150], Step [400/469], Loss: 9358.8281,  Classification Accuracy: 100.00
Epoch: [97/150], Step [100/469], Loss: 8980.8193,  Classification Accuracy: 100.00
Epoch: [97/150], Step [200/469], Loss: 8849.6318,  Classification Accuracy: 100.00
Epoch: [97/150], Step [300/469], Loss: 9047.6221,  Classification Accuracy: 99.22
Epoch: [97/150], Step [400/469], Loss: 8866.9629,  Classification Accuracy: 100.00
Epoch: [98/150], Step [100/469], Loss: 8790.1670,  Classification Accuracy: 99.22
Epoch: [98/150], Step [200/469], Loss: 9009.3262,  Classification Accuracy: 100.00
Epoch: [98/150], Step [300/469], Loss: 9344.6270,  Classification Accuracy: 100.00
Epoch: [98/150], Step [400/469], Loss: 9041.5596,  Classification Accuracy: 100.00
Epoch: [99/150], Step [100/469], Loss: 9177.6953,  Classification Accuracy: 100.00
Epoch: [99/150], Step [200/469], Loss: 9224.3242,  Classification Accuracy: 100.00
Epoch: [99/150], Step [300/469], Loss: 9328.5225,  Classification Accuracy: 100.00
Epoch: [99/150], Step [400/469], Loss: 9508.7139,  Classification Accuracy: 99.22
Epoch: [100/150], Step [100/469], Loss: 9279.0771,  Classification Accuracy: 99.22
Epoch: [100/150], Step [200/469], Loss: 9299.4678,  Classification Accuracy: 100.00
Epoch: [100/150], Step [300/469], Loss: 9805.1738,  Classification Accuracy: 100.00
Epoch: [100/150], Step [400/469], Loss: 9418.7158,  Classification Accuracy: 100.00
Epoch: [101/150], Step [100/469], Loss: 8895.9893,  Classification Accuracy: 100.00
Epoch: [101/150], Step [200/469], Loss: 9299.4102,  Classification Accuracy: 100.00
Epoch: [101/150], Step [300/469], Loss: 8914.0303,  Classification Accuracy: 100.00
Epoch: [101/150], Step [400/469], Loss: 8764.0781,  Classification Accuracy: 100.00
Epoch: [102/150], Step [100/469], Loss: 9082.3271,  Classification Accuracy: 99.22
Epoch: [102/150], Step [200/469], Loss: 9249.4629,  Classification Accuracy: 99.22
Epoch: [102/150], Step [300/469], Loss: 8979.6006,  Classification Accuracy: 99.22
Epoch: [102/150], Step [400/469], Loss: 9336.8330,  Classification Accuracy: 99.22
Epoch: [103/150], Step [100/469], Loss: 9156.5391,  Classification Accuracy: 100.00
Epoch: [103/150], Step [200/469], Loss: 8883.0869,  Classification Accuracy: 99.22
Epoch: [103/150], Step [300/469], Loss: 9213.5166,  Classification Accuracy: 100.00
Epoch: [103/150], Step [400/469], Loss: 9370.3594,  Classification Accuracy: 99.22
Epoch: [104/150], Step [100/469], Loss: 9138.3574,  Classification Accuracy: 99.22
Epoch: [104/150], Step [200/469], Loss: 9381.0293,  Classification Accuracy: 100.00
Epoch: [104/150], Step [300/469], Loss: 9484.2402,  Classification Accuracy: 100.00
Epoch: [104/150], Step [400/469], Loss: 9288.3604,  Classification Accuracy: 100.00
Epoch: [105/150], Step [100/469], Loss: 8889.4463,  Classification Accuracy: 100.00
Epoch: [105/150], Step [200/469], Loss: 9129.6270,  Classification Accuracy: 100.00
Epoch: [105/150], Step [300/469], Loss: 9640.9785,  Classification Accuracy: 99.22
Epoch: [105/150], Step [400/469], Loss: 9190.9023,  Classification Accuracy: 99.22
Epoch: [106/150], Step [100/469], Loss: 8607.5547,  Classification Accuracy: 98.44
Epoch: [106/150], Step [200/469], Loss: 8728.1982,  Classification Accuracy: 99.22
Epoch: [106/150], Step [300/469], Loss: 9106.2607,  Classification Accuracy: 100.00
Epoch: [106/150], Step [400/469], Loss: 9657.3389,  Classification Accuracy: 100.00
Epoch: [107/150], Step [100/469], Loss: 9030.8604,  Classification Accuracy: 100.00
Epoch: [107/150], Step [200/469], Loss: 9263.7793,  Classification Accuracy: 99.22
Epoch: [107/150], Step [300/469], Loss: 9014.5322,  Classification Accuracy: 100.00
Epoch: [107/150], Step [400/469], Loss: 8592.2539,  Classification Accuracy: 100.00
Epoch: [108/150], Step [100/469], Loss: 9102.3447,  Classification Accuracy: 100.00
Epoch: [108/150], Step [200/469], Loss: 9090.3281,  Classification Accuracy: 100.00
Epoch: [108/150], Step [300/469], Loss: 8979.0654,  Classification Accuracy: 100.00
Epoch: [108/150], Step [400/469], Loss: 9172.2578,  Classification Accuracy: 99.22
Epoch: [109/150], Step [100/469], Loss: 9127.5186,  Classification Accuracy: 100.00
Epoch: [109/150], Step [200/469], Loss: 9370.7041,  Classification Accuracy: 100.00
Epoch: [109/150], Step [300/469], Loss: 9705.9072,  Classification Accuracy: 100.00
Epoch: [109/150], Step [400/469], Loss: 9224.1084,  Classification Accuracy: 100.00
Epoch: [110/150], Step [100/469], Loss: 9304.0947,  Classification Accuracy: 100.00
Epoch: [110/150], Step [200/469], Loss: 9004.2979,  Classification Accuracy: 100.00
Epoch: [110/150], Step [300/469], Loss: 9240.4199,  Classification Accuracy: 100.00
Epoch: [110/150], Step [400/469], Loss: 8648.0674,  Classification Accuracy: 100.00
Epoch: [111/150], Step [100/469], Loss: 8661.2588,  Classification Accuracy: 100.00
Epoch: [111/150], Step [200/469], Loss: 9235.8916,  Classification Accuracy: 100.00
Epoch: [111/150], Step [300/469], Loss: 9131.8350,  Classification Accuracy: 100.00
Epoch: [111/150], Step [400/469], Loss: 9474.5967,  Classification Accuracy: 100.00
Epoch: [112/150], Step [100/469], Loss: 9362.9141,  Classification Accuracy: 99.22
Epoch: [112/150], Step [200/469], Loss: 8880.4775,  Classification Accuracy: 100.00
Epoch: [112/150], Step [300/469], Loss: 9352.4121,  Classification Accuracy: 100.00
Epoch: [112/150], Step [400/469], Loss: 8871.8408,  Classification Accuracy: 100.00
Epoch: [113/150], Step [100/469], Loss: 8795.5742,  Classification Accuracy: 99.22
Epoch: [113/150], Step [200/469], Loss: 8967.5576,  Classification Accuracy: 99.22
Epoch: [113/150], Step [300/469], Loss: 9186.6016,  Classification Accuracy: 99.22
Epoch: [113/150], Step [400/469], Loss: 9388.2646,  Classification Accuracy: 99.22
Epoch: [114/150], Step [100/469], Loss: 9194.6182,  Classification Accuracy: 97.66
Epoch: [114/150], Step [200/469], Loss: 9223.2998,  Classification Accuracy: 100.00
Epoch: [114/150], Step [300/469], Loss: 9033.7334,  Classification Accuracy: 99.22
Epoch: [114/150], Step [400/469], Loss: 9360.4785,  Classification Accuracy: 98.44
Epoch: [115/150], Step [100/469], Loss: 8502.9199,  Classification Accuracy: 100.00
Epoch: [115/150], Step [200/469], Loss: 9556.1982,  Classification Accuracy: 100.00
Epoch: [115/150], Step [300/469], Loss: 9833.0547,  Classification Accuracy: 100.00
Epoch: [115/150], Step [400/469], Loss: 9670.7227,  Classification Accuracy: 99.22
Epoch: [116/150], Step [100/469], Loss: 9306.0078,  Classification Accuracy: 99.22
Epoch: [116/150], Step [200/469], Loss: 9252.6309,  Classification Accuracy: 99.22
Epoch: [116/150], Step [300/469], Loss: 9564.7783,  Classification Accuracy: 100.00
Epoch: [116/150], Step [400/469], Loss: 8692.6230,  Classification Accuracy: 99.22
Epoch: [117/150], Step [100/469], Loss: 9477.7803,  Classification Accuracy: 98.44
Epoch: [117/150], Step [200/469], Loss: 9159.7451,  Classification Accuracy: 100.00
Epoch: [117/150], Step [300/469], Loss: 9150.2266,  Classification Accuracy: 100.00
Epoch: [117/150], Step [400/469], Loss: 9383.5479,  Classification Accuracy: 100.00
Epoch: [118/150], Step [100/469], Loss: 9090.4883,  Classification Accuracy: 100.00
Epoch: [118/150], Step [200/469], Loss: 9064.3301,  Classification Accuracy: 100.00
Epoch: [118/150], Step [300/469], Loss: 9015.5654,  Classification Accuracy: 100.00
Epoch: [118/150], Step [400/469], Loss: 8974.5869,  Classification Accuracy: 99.22
Epoch: [119/150], Step [100/469], Loss: 9138.4277,  Classification Accuracy: 99.22
Epoch: [119/150], Step [200/469], Loss: 9475.5029,  Classification Accuracy: 99.22
Epoch: [119/150], Step [300/469], Loss: 9392.3877,  Classification Accuracy: 100.00
Epoch: [119/150], Step [400/469], Loss: 9749.8174,  Classification Accuracy: 100.00
Epoch: [120/150], Step [100/469], Loss: 9161.7188,  Classification Accuracy: 100.00
Epoch: [120/150], Step [200/469], Loss: 9119.7803,  Classification Accuracy: 100.00
Epoch: [120/150], Step [300/469], Loss: 8606.5059,  Classification Accuracy: 100.00
Epoch: [120/150], Step [400/469], Loss: 8974.1191,  Classification Accuracy: 100.00
Epoch: [121/150], Step [100/469], Loss: 9259.4902,  Classification Accuracy: 100.00
Epoch: [121/150], Step [200/469], Loss: 9201.4678,  Classification Accuracy: 99.22
Epoch: [121/150], Step [300/469], Loss: 9159.9658,  Classification Accuracy: 100.00
Epoch: [121/150], Step [400/469], Loss: 9037.2432,  Classification Accuracy: 100.00
Epoch: [122/150], Step [100/469], Loss: 9050.0508,  Classification Accuracy: 99.22
Epoch: [122/150], Step [200/469], Loss: 9035.6426,  Classification Accuracy: 100.00
Epoch: [122/150], Step [300/469], Loss: 8977.1094,  Classification Accuracy: 99.22
Epoch: [122/150], Step [400/469], Loss: 9375.7861,  Classification Accuracy: 98.44
Epoch: [123/150], Step [100/469], Loss: 9148.8682,  Classification Accuracy: 100.00
Epoch: [123/150], Step [200/469], Loss: 9512.5215,  Classification Accuracy: 99.22
Epoch: [123/150], Step [300/469], Loss: 8840.9883,  Classification Accuracy: 100.00
Epoch: [123/150], Step [400/469], Loss: 8381.5635,  Classification Accuracy: 100.00
Epoch: [124/150], Step [100/469], Loss: 9526.0967,  Classification Accuracy: 100.00
Epoch: [124/150], Step [200/469], Loss: 9603.3203,  Classification Accuracy: 99.22
Epoch: [124/150], Step [300/469], Loss: 9434.4414,  Classification Accuracy: 100.00
Epoch: [124/150], Step [400/469], Loss: 9153.8398,  Classification Accuracy: 100.00
Epoch: [125/150], Step [100/469], Loss: 9196.0088,  Classification Accuracy: 100.00
Epoch: [125/150], Step [200/469], Loss: 9283.8340,  Classification Accuracy: 100.00
Epoch: [125/150], Step [300/469], Loss: 8993.3086,  Classification Accuracy: 100.00
Epoch: [125/150], Step [400/469], Loss: 9390.7012,  Classification Accuracy: 100.00
Epoch: [126/150], Step [100/469], Loss: 9289.6484,  Classification Accuracy: 99.22
Epoch: [126/150], Step [200/469], Loss: 9233.2432,  Classification Accuracy: 99.22
Epoch: [126/150], Step [300/469], Loss: 9477.4854,  Classification Accuracy: 100.00
Epoch: [126/150], Step [400/469], Loss: 9018.9287,  Classification Accuracy: 99.22
Epoch: [127/150], Step [100/469], Loss: 8730.4561,  Classification Accuracy: 100.00
Epoch: [127/150], Step [200/469], Loss: 9330.0645,  Classification Accuracy: 100.00
Epoch: [127/150], Step [300/469], Loss: 9050.7832,  Classification Accuracy: 100.00
Epoch: [127/150], Step [400/469], Loss: 9095.7197,  Classification Accuracy: 100.00
Epoch: [128/150], Step [100/469], Loss: 9040.3057,  Classification Accuracy: 100.00
Epoch: [128/150], Step [200/469], Loss: 9288.7559,  Classification Accuracy: 100.00
Epoch: [128/150], Step [300/469], Loss: 9464.0518,  Classification Accuracy: 99.22
Epoch: [128/150], Step [400/469], Loss: 8764.1914,  Classification Accuracy: 99.22
Epoch: [129/150], Step [100/469], Loss: 9049.6982,  Classification Accuracy: 99.22
Epoch: [129/150], Step [200/469], Loss: 9120.4600,  Classification Accuracy: 100.00
Epoch: [129/150], Step [300/469], Loss: 8947.6826,  Classification Accuracy: 100.00
Epoch: [129/150], Step [400/469], Loss: 9364.9424,  Classification Accuracy: 100.00
Epoch: [130/150], Step [100/469], Loss: 9050.3496,  Classification Accuracy: 99.22
Epoch: [130/150], Step [200/469], Loss: 9323.9658,  Classification Accuracy: 100.00
Epoch: [130/150], Step [300/469], Loss: 9436.9512,  Classification Accuracy: 100.00
Epoch: [130/150], Step [400/469], Loss: 8994.2666,  Classification Accuracy: 100.00
Epoch: [131/150], Step [100/469], Loss: 9603.2695,  Classification Accuracy: 100.00
Epoch: [131/150], Step [200/469], Loss: 9265.1953,  Classification Accuracy: 99.22
Epoch: [131/150], Step [300/469], Loss: 9106.2285,  Classification Accuracy: 100.00
Epoch: [131/150], Step [400/469], Loss: 9319.4629,  Classification Accuracy: 100.00
Epoch: [132/150], Step [100/469], Loss: 9129.7188,  Classification Accuracy: 100.00
Epoch: [132/150], Step [200/469], Loss: 8864.5205,  Classification Accuracy: 99.22
Epoch: [132/150], Step [300/469], Loss: 9518.0791,  Classification Accuracy: 100.00
Epoch: [132/150], Step [400/469], Loss: 9141.1289,  Classification Accuracy: 99.22
Epoch: [133/150], Step [100/469], Loss: 9227.2764,  Classification Accuracy: 100.00
Epoch: [133/150], Step [200/469], Loss: 8999.3750,  Classification Accuracy: 100.00
Epoch: [133/150], Step [300/469], Loss: 9409.0752,  Classification Accuracy: 99.22
Epoch: [133/150], Step [400/469], Loss: 9217.8291,  Classification Accuracy: 100.00
Epoch: [134/150], Step [100/469], Loss: 9415.1934,  Classification Accuracy: 100.00
Epoch: [134/150], Step [200/469], Loss: 9011.9814,  Classification Accuracy: 100.00
Epoch: [134/150], Step [300/469], Loss: 9317.0420,  Classification Accuracy: 100.00
Epoch: [134/150], Step [400/469], Loss: 9391.8740,  Classification Accuracy: 99.22
Epoch: [135/150], Step [100/469], Loss: 8837.7354,  Classification Accuracy: 99.22
Epoch: [135/150], Step [200/469], Loss: 9285.0107,  Classification Accuracy: 100.00
Epoch: [135/150], Step [300/469], Loss: 9467.3389,  Classification Accuracy: 99.22
Epoch: [135/150], Step [400/469], Loss: 8787.8867,  Classification Accuracy: 100.00
Epoch: [136/150], Step [100/469], Loss: 8667.0537,  Classification Accuracy: 98.44
Epoch: [136/150], Step [200/469], Loss: 8958.5469,  Classification Accuracy: 100.00
Epoch: [136/150], Step [300/469], Loss: 9286.7725,  Classification Accuracy: 99.22
Epoch: [136/150], Step [400/469], Loss: 9429.9951,  Classification Accuracy: 99.22
Epoch: [137/150], Step [100/469], Loss: 9031.9229,  Classification Accuracy: 99.22
Epoch: [137/150], Step [200/469], Loss: 9325.8867,  Classification Accuracy: 100.00
Epoch: [137/150], Step [300/469], Loss: 9138.8506,  Classification Accuracy: 100.00
Epoch: [137/150], Step [400/469], Loss: 8732.8643,  Classification Accuracy: 100.00
Epoch: [138/150], Step [100/469], Loss: 9271.7139,  Classification Accuracy: 100.00
Epoch: [138/150], Step [200/469], Loss: 8874.8594,  Classification Accuracy: 99.22
Epoch: [138/150], Step [300/469], Loss: 8998.8340,  Classification Accuracy: 100.00
Epoch: [138/150], Step [400/469], Loss: 9135.6943,  Classification Accuracy: 100.00
Epoch: [139/150], Step [100/469], Loss: 9130.8936,  Classification Accuracy: 99.22
Epoch: [139/150], Step [200/469], Loss: 9273.1387,  Classification Accuracy: 100.00
Epoch: [139/150], Step [300/469], Loss: 8765.6562,  Classification Accuracy: 100.00
Epoch: [139/150], Step [400/469], Loss: 8975.2109,  Classification Accuracy: 100.00
Epoch: [140/150], Step [100/469], Loss: 8827.6348,  Classification Accuracy: 100.00
Epoch: [140/150], Step [200/469], Loss: 8667.9121,  Classification Accuracy: 99.22
Epoch: [140/150], Step [300/469], Loss: 9237.2412,  Classification Accuracy: 100.00
Epoch: [140/150], Step [400/469], Loss: 8947.3564,  Classification Accuracy: 100.00
Epoch: [141/150], Step [100/469], Loss: 9525.1924,  Classification Accuracy: 99.22
Epoch: [141/150], Step [200/469], Loss: 9326.3584,  Classification Accuracy: 99.22
Epoch: [141/150], Step [300/469], Loss: 9011.4434,  Classification Accuracy: 100.00
Epoch: [141/150], Step [400/469], Loss: 9522.5781,  Classification Accuracy: 99.22
Epoch: [142/150], Step [100/469], Loss: 9066.6377,  Classification Accuracy: 100.00
Epoch: [142/150], Step [200/469], Loss: 9287.6055,  Classification Accuracy: 98.44
Epoch: [142/150], Step [300/469], Loss: 9098.9248,  Classification Accuracy: 99.22
Epoch: [142/150], Step [400/469], Loss: 9272.9336,  Classification Accuracy: 100.00
Epoch: [143/150], Step [100/469], Loss: 9143.6133,  Classification Accuracy: 100.00
Epoch: [143/150], Step [200/469], Loss: 8867.3164,  Classification Accuracy: 100.00
Epoch: [143/150], Step [300/469], Loss: 9145.1699,  Classification Accuracy: 99.22
Epoch: [143/150], Step [400/469], Loss: 9835.0596,  Classification Accuracy: 99.22
Epoch: [144/150], Step [100/469], Loss: 9096.4170,  Classification Accuracy: 100.00
Epoch: [144/150], Step [200/469], Loss: 9127.9512,  Classification Accuracy: 100.00
Epoch: [144/150], Step [300/469], Loss: 9182.6387,  Classification Accuracy: 100.00
Epoch: [144/150], Step [400/469], Loss: 8597.5791,  Classification Accuracy: 99.22
Epoch: [145/150], Step [100/469], Loss: 8947.1807,  Classification Accuracy: 100.00
Epoch: [145/150], Step [200/469], Loss: 9580.7090,  Classification Accuracy: 100.00
Epoch: [145/150], Step [300/469], Loss: 8694.8506,  Classification Accuracy: 100.00
Epoch: [145/150], Step [400/469], Loss: 9551.8652,  Classification Accuracy: 99.22
Epoch: [146/150], Step [100/469], Loss: 9508.2441,  Classification Accuracy: 100.00
Epoch: [146/150], Step [200/469], Loss: 8710.4473,  Classification Accuracy: 100.00
Epoch: [146/150], Step [300/469], Loss: 8877.0439,  Classification Accuracy: 100.00
Epoch: [146/150], Step [400/469], Loss: 8791.1016,  Classification Accuracy: 100.00
Epoch: [147/150], Step [100/469], Loss: 9131.5645,  Classification Accuracy: 99.22
Epoch: [147/150], Step [200/469], Loss: 9203.5430,  Classification Accuracy: 99.22
Epoch: [147/150], Step [300/469], Loss: 8887.2002,  Classification Accuracy: 100.00
Epoch: [147/150], Step [400/469], Loss: 9067.6318,  Classification Accuracy: 99.22
Epoch: [148/150], Step [100/469], Loss: 8810.4912,  Classification Accuracy: 100.00
Epoch: [148/150], Step [200/469], Loss: 9203.4287,  Classification Accuracy: 100.00
Epoch: [148/150], Step [300/469], Loss: 9557.1670,  Classification Accuracy: 100.00
Epoch: [148/150], Step [400/469], Loss: 8967.8477,  Classification Accuracy: 99.22
Epoch: [149/150], Step [100/469], Loss: 8937.8936,  Classification Accuracy: 98.44
Epoch: [149/150], Step [200/469], Loss: 9133.1699,  Classification Accuracy: 100.00
Epoch: [149/150], Step [300/469], Loss: 9452.5615,  Classification Accuracy: 100.00
Epoch: [149/150], Step [400/469], Loss: 9223.1807,  Classification Accuracy: 100.00
Accuracy of the network on the 10000 test images: 98.4800 %
The average reconstruction loss on the network is 394927
Lambda: 0.2
Epoch: [0/150], Step [100/469], Loss: 4672.1494,  Classification Accuracy: 89.06
Epoch: [0/150], Step [200/469], Loss: 4595.7837,  Classification Accuracy: 90.62
Epoch: [0/150], Step [300/469], Loss: 4361.0200,  Classification Accuracy: 94.53
Epoch: [0/150], Step [400/469], Loss: 4390.3555,  Classification Accuracy: 96.88
Epoch: [1/150], Step [100/469], Loss: 4121.7729,  Classification Accuracy: 97.66
Epoch: [1/150], Step [200/469], Loss: 4358.8892,  Classification Accuracy: 97.66
Epoch: [1/150], Step [300/469], Loss: 4315.4087,  Classification Accuracy: 96.09
Epoch: [1/150], Step [400/469], Loss: 4250.5898,  Classification Accuracy: 96.88
Epoch: [2/150], Step [100/469], Loss: 4166.4365,  Classification Accuracy: 97.66
Epoch: [2/150], Step [200/469], Loss: 4215.0933,  Classification Accuracy: 96.88
Epoch: [2/150], Step [300/469], Loss: 4193.8833,  Classification Accuracy: 98.44
Epoch: [2/150], Step [400/469], Loss: 4332.2144,  Classification Accuracy: 95.31
Epoch: [3/150], Step [100/469], Loss: 4232.3374,  Classification Accuracy: 100.00
Epoch: [3/150], Step [200/469], Loss: 3953.6152,  Classification Accuracy: 99.22
Epoch: [3/150], Step [300/469], Loss: 4077.0505,  Classification Accuracy: 100.00
Epoch: [3/150], Step [400/469], Loss: 4045.2786,  Classification Accuracy: 100.00
Epoch: [4/150], Step [100/469], Loss: 4096.8770,  Classification Accuracy: 95.31
Epoch: [4/150], Step [200/469], Loss: 4257.5986,  Classification Accuracy: 99.22
Epoch: [4/150], Step [300/469], Loss: 4014.4502,  Classification Accuracy: 97.66
Epoch: [4/150], Step [400/469], Loss: 4172.1968,  Classification Accuracy: 97.66
Epoch: [5/150], Step [100/469], Loss: 4137.3794,  Classification Accuracy: 97.66
Epoch: [5/150], Step [200/469], Loss: 4066.3579,  Classification Accuracy: 100.00
Epoch: [5/150], Step [300/469], Loss: 4007.0186,  Classification Accuracy: 98.44
Epoch: [5/150], Step [400/469], Loss: 3924.1812,  Classification Accuracy: 97.66
Epoch: [6/150], Step [100/469], Loss: 3935.4929,  Classification Accuracy: 97.66
Epoch: [6/150], Step [200/469], Loss: 4074.6792,  Classification Accuracy: 100.00
Epoch: [6/150], Step [300/469], Loss: 3898.2798,  Classification Accuracy: 98.44
Epoch: [6/150], Step [400/469], Loss: 3757.5347,  Classification Accuracy: 98.44
Epoch: [7/150], Step [100/469], Loss: 3836.6455,  Classification Accuracy: 99.22
Epoch: [7/150], Step [200/469], Loss: 3934.5403,  Classification Accuracy: 98.44
Epoch: [7/150], Step [300/469], Loss: 3988.5459,  Classification Accuracy: 99.22
Epoch: [7/150], Step [400/469], Loss: 3848.1829,  Classification Accuracy: 100.00
Epoch: [8/150], Step [100/469], Loss: 3762.0974,  Classification Accuracy: 99.22
Epoch: [8/150], Step [200/469], Loss: 3948.4524,  Classification Accuracy: 99.22
Epoch: [8/150], Step [300/469], Loss: 3894.9180,  Classification Accuracy: 98.44
Epoch: [8/150], Step [400/469], Loss: 3875.7151,  Classification Accuracy: 99.22
Epoch: [9/150], Step [100/469], Loss: 3947.2024,  Classification Accuracy: 98.44
Epoch: [9/150], Step [200/469], Loss: 3978.5320,  Classification Accuracy: 100.00
Epoch: [9/150], Step [300/469], Loss: 3969.7932,  Classification Accuracy: 99.22
Epoch: [9/150], Step [400/469], Loss: 3752.0925,  Classification Accuracy: 96.88
Epoch: [10/150], Step [100/469], Loss: 4172.6914,  Classification Accuracy: 98.44
Epoch: [10/150], Step [200/469], Loss: 3794.6287,  Classification Accuracy: 98.44
Epoch: [10/150], Step [300/469], Loss: 3930.9209,  Classification Accuracy: 99.22
Epoch: [10/150], Step [400/469], Loss: 3908.1921,  Classification Accuracy: 100.00
Epoch: [11/150], Step [100/469], Loss: 3754.8013,  Classification Accuracy: 98.44
Epoch: [11/150], Step [200/469], Loss: 4051.3469,  Classification Accuracy: 99.22
Epoch: [11/150], Step [300/469], Loss: 3910.7275,  Classification Accuracy: 97.66
Epoch: [11/150], Step [400/469], Loss: 4059.2034,  Classification Accuracy: 100.00
Epoch: [12/150], Step [100/469], Loss: 3853.4612,  Classification Accuracy: 97.66
Epoch: [12/150], Step [200/469], Loss: 3829.0701,  Classification Accuracy: 99.22
Epoch: [12/150], Step [300/469], Loss: 3918.6775,  Classification Accuracy: 100.00
Epoch: [12/150], Step [400/469], Loss: 3889.4783,  Classification Accuracy: 99.22
Epoch: [13/150], Step [100/469], Loss: 3825.0728,  Classification Accuracy: 97.66
Epoch: [13/150], Step [200/469], Loss: 3737.5410,  Classification Accuracy: 99.22
Epoch: [13/150], Step [300/469], Loss: 4061.6277,  Classification Accuracy: 100.00
Epoch: [13/150], Step [400/469], Loss: 4148.2617,  Classification Accuracy: 99.22
Epoch: [14/150], Step [100/469], Loss: 4034.3264,  Classification Accuracy: 98.44
Epoch: [14/150], Step [200/469], Loss: 3892.3865,  Classification Accuracy: 100.00
Epoch: [14/150], Step [300/469], Loss: 4000.0105,  Classification Accuracy: 99.22
Epoch: [14/150], Step [400/469], Loss: 3844.9231,  Classification Accuracy: 99.22
Epoch: [15/150], Step [100/469], Loss: 3950.0093,  Classification Accuracy: 100.00
Epoch: [15/150], Step [200/469], Loss: 3975.5432,  Classification Accuracy: 100.00
Epoch: [15/150], Step [300/469], Loss: 3915.8376,  Classification Accuracy: 99.22
Epoch: [15/150], Step [400/469], Loss: 3881.6560,  Classification Accuracy: 99.22
Epoch: [16/150], Step [100/469], Loss: 4001.6523,  Classification Accuracy: 99.22
Epoch: [16/150], Step [200/469], Loss: 4039.0361,  Classification Accuracy: 100.00
Epoch: [16/150], Step [300/469], Loss: 3937.6199,  Classification Accuracy: 98.44
Epoch: [16/150], Step [400/469], Loss: 3904.5481,  Classification Accuracy: 97.66
Epoch: [17/150], Step [100/469], Loss: 3694.4463,  Classification Accuracy: 100.00
Epoch: [17/150], Step [200/469], Loss: 3954.0212,  Classification Accuracy: 100.00
Epoch: [17/150], Step [300/469], Loss: 3902.2563,  Classification Accuracy: 98.44
Epoch: [17/150], Step [400/469], Loss: 4015.2786,  Classification Accuracy: 100.00
Epoch: [18/150], Step [100/469], Loss: 3744.0303,  Classification Accuracy: 98.44
Epoch: [18/150], Step [200/469], Loss: 3891.3145,  Classification Accuracy: 99.22
Epoch: [18/150], Step [300/469], Loss: 3943.5815,  Classification Accuracy: 98.44
Epoch: [18/150], Step [400/469], Loss: 4048.1807,  Classification Accuracy: 98.44
Epoch: [19/150], Step [100/469], Loss: 3755.8823,  Classification Accuracy: 100.00
Epoch: [19/150], Step [200/469], Loss: 3859.6133,  Classification Accuracy: 100.00
Epoch: [19/150], Step [300/469], Loss: 3947.9495,  Classification Accuracy: 99.22
Epoch: [19/150], Step [400/469], Loss: 3870.9893,  Classification Accuracy: 97.66
Epoch: [20/150], Step [100/469], Loss: 3858.3743,  Classification Accuracy: 99.22
Epoch: [20/150], Step [200/469], Loss: 3771.9905,  Classification Accuracy: 100.00
Epoch: [20/150], Step [300/469], Loss: 3890.4966,  Classification Accuracy: 100.00
Epoch: [20/150], Step [400/469], Loss: 3951.3689,  Classification Accuracy: 99.22
Epoch: [21/150], Step [100/469], Loss: 3790.8772,  Classification Accuracy: 100.00
Epoch: [21/150], Step [200/469], Loss: 3937.1672,  Classification Accuracy: 97.66
Epoch: [21/150], Step [300/469], Loss: 3546.7881,  Classification Accuracy: 99.22
Epoch: [21/150], Step [400/469], Loss: 3911.1904,  Classification Accuracy: 97.66
Epoch: [22/150], Step [100/469], Loss: 3872.9062,  Classification Accuracy: 99.22
Epoch: [22/150], Step [200/469], Loss: 4053.0693,  Classification Accuracy: 99.22
Epoch: [22/150], Step [300/469], Loss: 3906.7842,  Classification Accuracy: 99.22
Epoch: [22/150], Step [400/469], Loss: 3653.6399,  Classification Accuracy: 99.22
Epoch: [23/150], Step [100/469], Loss: 3834.1851,  Classification Accuracy: 100.00
Epoch: [23/150], Step [200/469], Loss: 4068.5525,  Classification Accuracy: 99.22
Epoch: [23/150], Step [300/469], Loss: 3793.3250,  Classification Accuracy: 100.00
Epoch: [23/150], Step [400/469], Loss: 4059.5146,  Classification Accuracy: 99.22
Epoch: [24/150], Step [100/469], Loss: 3663.4924,  Classification Accuracy: 100.00
Epoch: [24/150], Step [200/469], Loss: 3830.8972,  Classification Accuracy: 99.22
Epoch: [24/150], Step [300/469], Loss: 3970.9592,  Classification Accuracy: 100.00
Epoch: [24/150], Step [400/469], Loss: 3830.3503,  Classification Accuracy: 100.00
Epoch: [25/150], Step [100/469], Loss: 3701.1035,  Classification Accuracy: 99.22
Epoch: [25/150], Step [200/469], Loss: 3838.6248,  Classification Accuracy: 100.00
Epoch: [25/150], Step [300/469], Loss: 3872.9871,  Classification Accuracy: 100.00
Epoch: [25/150], Step [400/469], Loss: 3716.9341,  Classification Accuracy: 99.22
Epoch: [26/150], Step [100/469], Loss: 3891.7192,  Classification Accuracy: 99.22
Epoch: [26/150], Step [200/469], Loss: 3989.5215,  Classification Accuracy: 100.00
Epoch: [26/150], Step [300/469], Loss: 3873.5952,  Classification Accuracy: 98.44
Epoch: [26/150], Step [400/469], Loss: 3765.3496,  Classification Accuracy: 99.22
Epoch: [27/150], Step [100/469], Loss: 3787.0305,  Classification Accuracy: 100.00
Epoch: [27/150], Step [200/469], Loss: 3591.0652,  Classification Accuracy: 100.00
Epoch: [27/150], Step [300/469], Loss: 3809.4150,  Classification Accuracy: 100.00
Epoch: [27/150], Step [400/469], Loss: 3752.6619,  Classification Accuracy: 99.22
Epoch: [28/150], Step [100/469], Loss: 3928.1221,  Classification Accuracy: 100.00
Epoch: [28/150], Step [200/469], Loss: 3760.6301,  Classification Accuracy: 100.00
Epoch: [28/150], Step [300/469], Loss: 3779.4651,  Classification Accuracy: 99.22
Epoch: [28/150], Step [400/469], Loss: 3899.3867,  Classification Accuracy: 99.22
Epoch: [29/150], Step [100/469], Loss: 3978.4983,  Classification Accuracy: 100.00
Epoch: [29/150], Step [200/469], Loss: 3629.7729,  Classification Accuracy: 100.00
Epoch: [29/150], Step [300/469], Loss: 3793.5544,  Classification Accuracy: 99.22
Epoch: [29/150], Step [400/469], Loss: 3747.8555,  Classification Accuracy: 100.00
Epoch: [30/150], Step [100/469], Loss: 3948.2415,  Classification Accuracy: 99.22
Epoch: [30/150], Step [200/469], Loss: 3644.3833,  Classification Accuracy: 99.22
Epoch: [30/150], Step [300/469], Loss: 3812.5244,  Classification Accuracy: 100.00
Epoch: [30/150], Step [400/469], Loss: 3733.9685,  Classification Accuracy: 100.00
Epoch: [31/150], Step [100/469], Loss: 3809.8230,  Classification Accuracy: 100.00
Epoch: [31/150], Step [200/469], Loss: 3744.9800,  Classification Accuracy: 100.00
Epoch: [31/150], Step [300/469], Loss: 3778.6299,  Classification Accuracy: 100.00
Epoch: [31/150], Step [400/469], Loss: 3962.0000,  Classification Accuracy: 100.00
Epoch: [32/150], Step [100/469], Loss: 3724.1985,  Classification Accuracy: 100.00
Epoch: [32/150], Step [200/469], Loss: 3800.3130,  Classification Accuracy: 99.22
Epoch: [32/150], Step [300/469], Loss: 3765.0454,  Classification Accuracy: 99.22
Epoch: [32/150], Step [400/469], Loss: 3732.0027,  Classification Accuracy: 100.00
Epoch: [33/150], Step [100/469], Loss: 3810.4412,  Classification Accuracy: 100.00
Epoch: [33/150], Step [200/469], Loss: 3917.0710,  Classification Accuracy: 100.00
Epoch: [33/150], Step [300/469], Loss: 3818.6121,  Classification Accuracy: 98.44
Epoch: [33/150], Step [400/469], Loss: 3733.2346,  Classification Accuracy: 99.22
Epoch: [34/150], Step [100/469], Loss: 3849.4053,  Classification Accuracy: 100.00
Epoch: [34/150], Step [200/469], Loss: 3644.2224,  Classification Accuracy: 100.00
Epoch: [34/150], Step [300/469], Loss: 4082.8748,  Classification Accuracy: 99.22
Epoch: [34/150], Step [400/469], Loss: 3841.1462,  Classification Accuracy: 100.00
Epoch: [35/150], Step [100/469], Loss: 3785.4407,  Classification Accuracy: 100.00
Epoch: [35/150], Step [200/469], Loss: 3861.5652,  Classification Accuracy: 100.00
Epoch: [35/150], Step [300/469], Loss: 4004.3372,  Classification Accuracy: 100.00
Epoch: [35/150], Step [400/469], Loss: 3765.2634,  Classification Accuracy: 100.00
Epoch: [36/150], Step [100/469], Loss: 3749.8667,  Classification Accuracy: 100.00
Epoch: [36/150], Step [200/469], Loss: 3837.0220,  Classification Accuracy: 99.22
Epoch: [36/150], Step [300/469], Loss: 3795.3284,  Classification Accuracy: 100.00
Epoch: [36/150], Step [400/469], Loss: 3860.0066,  Classification Accuracy: 99.22
Epoch: [37/150], Step [100/469], Loss: 3756.1125,  Classification Accuracy: 100.00
Epoch: [37/150], Step [200/469], Loss: 3754.9319,  Classification Accuracy: 100.00
Epoch: [37/150], Step [300/469], Loss: 3719.5408,  Classification Accuracy: 99.22
Epoch: [37/150], Step [400/469], Loss: 3622.0249,  Classification Accuracy: 100.00
Epoch: [38/150], Step [100/469], Loss: 3727.4639,  Classification Accuracy: 100.00
Epoch: [38/150], Step [200/469], Loss: 3674.9585,  Classification Accuracy: 98.44
Epoch: [38/150], Step [300/469], Loss: 3896.0308,  Classification Accuracy: 100.00
Epoch: [38/150], Step [400/469], Loss: 3831.8342,  Classification Accuracy: 100.00
Epoch: [39/150], Step [100/469], Loss: 3805.3926,  Classification Accuracy: 100.00
Epoch: [39/150], Step [200/469], Loss: 3654.6975,  Classification Accuracy: 99.22
Epoch: [39/150], Step [300/469], Loss: 3555.1707,  Classification Accuracy: 100.00
Epoch: [39/150], Step [400/469], Loss: 3784.0835,  Classification Accuracy: 98.44
Epoch: [40/150], Step [100/469], Loss: 3827.8215,  Classification Accuracy: 99.22
Epoch: [40/150], Step [200/469], Loss: 3687.1562,  Classification Accuracy: 100.00
Epoch: [40/150], Step [300/469], Loss: 3871.8435,  Classification Accuracy: 100.00
Epoch: [40/150], Step [400/469], Loss: 3820.6541,  Classification Accuracy: 99.22
Epoch: [41/150], Step [100/469], Loss: 3820.3721,  Classification Accuracy: 100.00
Epoch: [41/150], Step [200/469], Loss: 3703.9746,  Classification Accuracy: 100.00
Epoch: [41/150], Step [300/469], Loss: 3926.5874,  Classification Accuracy: 100.00
Epoch: [41/150], Step [400/469], Loss: 3703.9961,  Classification Accuracy: 100.00
Epoch: [42/150], Step [100/469], Loss: 3632.1614,  Classification Accuracy: 100.00
Epoch: [42/150], Step [200/469], Loss: 3665.3809,  Classification Accuracy: 100.00
Epoch: [42/150], Step [300/469], Loss: 3896.2646,  Classification Accuracy: 100.00
Epoch: [42/150], Step [400/469], Loss: 3838.4973,  Classification Accuracy: 100.00
Epoch: [43/150], Step [100/469], Loss: 3797.6155,  Classification Accuracy: 100.00
Epoch: [43/150], Step [200/469], Loss: 3719.2039,  Classification Accuracy: 100.00
Epoch: [43/150], Step [300/469], Loss: 3589.2383,  Classification Accuracy: 99.22
Epoch: [43/150], Step [400/469], Loss: 3667.7656,  Classification Accuracy: 99.22
Epoch: [44/150], Step [100/469], Loss: 3805.1675,  Classification Accuracy: 100.00
Epoch: [44/150], Step [200/469], Loss: 3609.6482,  Classification Accuracy: 99.22
Epoch: [44/150], Step [300/469], Loss: 3792.5530,  Classification Accuracy: 100.00
Epoch: [44/150], Step [400/469], Loss: 3770.7351,  Classification Accuracy: 99.22
Epoch: [45/150], Step [100/469], Loss: 3563.4109,  Classification Accuracy: 100.00
Epoch: [45/150], Step [200/469], Loss: 3583.3494,  Classification Accuracy: 99.22
Epoch: [45/150], Step [300/469], Loss: 3672.0535,  Classification Accuracy: 100.00
Epoch: [45/150], Step [400/469], Loss: 3910.7136,  Classification Accuracy: 100.00
Epoch: [46/150], Step [100/469], Loss: 3612.0559,  Classification Accuracy: 98.44
Epoch: [46/150], Step [200/469], Loss: 3904.3523,  Classification Accuracy: 99.22
Epoch: [46/150], Step [300/469], Loss: 3720.4036,  Classification Accuracy: 100.00
Epoch: [46/150], Step [400/469], Loss: 3789.4561,  Classification Accuracy: 100.00
Epoch: [47/150], Step [100/469], Loss: 3745.0759,  Classification Accuracy: 100.00
Epoch: [47/150], Step [200/469], Loss: 3787.0925,  Classification Accuracy: 99.22
Epoch: [47/150], Step [300/469], Loss: 3720.7454,  Classification Accuracy: 100.00
Epoch: [47/150], Step [400/469], Loss: 3766.7017,  Classification Accuracy: 98.44
Epoch: [48/150], Step [100/469], Loss: 3770.1743,  Classification Accuracy: 100.00
Epoch: [48/150], Step [200/469], Loss: 3665.4680,  Classification Accuracy: 100.00
Epoch: [48/150], Step [300/469], Loss: 3472.6731,  Classification Accuracy: 100.00
Epoch: [48/150], Step [400/469], Loss: 3836.0364,  Classification Accuracy: 100.00
Epoch: [49/150], Step [100/469], Loss: 3739.7634,  Classification Accuracy: 100.00
Epoch: [49/150], Step [200/469], Loss: 3685.5254,  Classification Accuracy: 100.00
Epoch: [49/150], Step [300/469], Loss: 3765.4246,  Classification Accuracy: 99.22
Epoch: [49/150], Step [400/469], Loss: 3808.0132,  Classification Accuracy: 100.00
Epoch: [50/150], Step [100/469], Loss: 3538.9485,  Classification Accuracy: 100.00
Epoch: [50/150], Step [200/469], Loss: 3620.4739,  Classification Accuracy: 100.00
Epoch: [50/150], Step [300/469], Loss: 3877.4404,  Classification Accuracy: 100.00
Epoch: [50/150], Step [400/469], Loss: 3740.1240,  Classification Accuracy: 100.00
Epoch: [51/150], Step [100/469], Loss: 3701.3982,  Classification Accuracy: 99.22
Epoch: [51/150], Step [200/469], Loss: 3715.2966,  Classification Accuracy: 100.00
Epoch: [51/150], Step [300/469], Loss: 3804.1846,  Classification Accuracy: 100.00
Epoch: [51/150], Step [400/469], Loss: 3750.5684,  Classification Accuracy: 100.00
Epoch: [52/150], Step [100/469], Loss: 3709.6692,  Classification Accuracy: 99.22
Epoch: [52/150], Step [200/469], Loss: 3810.9871,  Classification Accuracy: 100.00
Epoch: [52/150], Step [300/469], Loss: 3851.6765,  Classification Accuracy: 99.22
Epoch: [52/150], Step [400/469], Loss: 3829.7786,  Classification Accuracy: 100.00
Epoch: [53/150], Step [100/469], Loss: 3581.9172,  Classification Accuracy: 100.00
Epoch: [53/150], Step [200/469], Loss: 3832.0640,  Classification Accuracy: 100.00
Epoch: [53/150], Step [300/469], Loss: 3843.9612,  Classification Accuracy: 100.00
Epoch: [53/150], Step [400/469], Loss: 3767.8198,  Classification Accuracy: 99.22
Epoch: [54/150], Step [100/469], Loss: 3599.8950,  Classification Accuracy: 100.00
Epoch: [54/150], Step [200/469], Loss: 3713.9070,  Classification Accuracy: 100.00
Epoch: [54/150], Step [300/469], Loss: 3740.7695,  Classification Accuracy: 100.00
Epoch: [54/150], Step [400/469], Loss: 3559.9231,  Classification Accuracy: 100.00
Epoch: [55/150], Step [100/469], Loss: 3829.0100,  Classification Accuracy: 100.00
Epoch: [55/150], Step [200/469], Loss: 3689.9377,  Classification Accuracy: 99.22
Epoch: [55/150], Step [300/469], Loss: 3648.1135,  Classification Accuracy: 100.00
Epoch: [55/150], Step [400/469], Loss: 3686.4658,  Classification Accuracy: 100.00
Epoch: [56/150], Step [100/469], Loss: 3728.0386,  Classification Accuracy: 100.00
Epoch: [56/150], Step [200/469], Loss: 3568.7896,  Classification Accuracy: 100.00
Epoch: [56/150], Step [300/469], Loss: 3879.5254,  Classification Accuracy: 100.00
Epoch: [56/150], Step [400/469], Loss: 3843.2280,  Classification Accuracy: 100.00
Epoch: [57/150], Step [100/469], Loss: 3810.8325,  Classification Accuracy: 100.00
Epoch: [57/150], Step [200/469], Loss: 3653.0112,  Classification Accuracy: 100.00
Epoch: [57/150], Step [300/469], Loss: 3662.9116,  Classification Accuracy: 100.00
Epoch: [57/150], Step [400/469], Loss: 3703.4604,  Classification Accuracy: 100.00
Epoch: [58/150], Step [100/469], Loss: 3520.4526,  Classification Accuracy: 99.22
Epoch: [58/150], Step [200/469], Loss: 3569.4036,  Classification Accuracy: 100.00
Epoch: [58/150], Step [300/469], Loss: 3696.6221,  Classification Accuracy: 99.22
Epoch: [58/150], Step [400/469], Loss: 3783.7795,  Classification Accuracy: 100.00
Epoch: [59/150], Step [100/469], Loss: 3811.3425,  Classification Accuracy: 99.22
Epoch: [59/150], Step [200/469], Loss: 3621.5828,  Classification Accuracy: 100.00
Epoch: [59/150], Step [300/469], Loss: 3730.5813,  Classification Accuracy: 100.00
Epoch: [59/150], Step [400/469], Loss: 3881.1943,  Classification Accuracy: 100.00
Epoch: [60/150], Step [100/469], Loss: 3703.1445,  Classification Accuracy: 100.00
Epoch: [60/150], Step [200/469], Loss: 3659.1606,  Classification Accuracy: 99.22
Epoch: [60/150], Step [300/469], Loss: 3587.1572,  Classification Accuracy: 100.00
Epoch: [60/150], Step [400/469], Loss: 3670.3137,  Classification Accuracy: 100.00
Epoch: [61/150], Step [100/469], Loss: 3844.0154,  Classification Accuracy: 100.00
Epoch: [61/150], Step [200/469], Loss: 3683.8564,  Classification Accuracy: 100.00
Epoch: [61/150], Step [300/469], Loss: 3907.6711,  Classification Accuracy: 99.22
Epoch: [61/150], Step [400/469], Loss: 3869.0742,  Classification Accuracy: 100.00
Epoch: [62/150], Step [100/469], Loss: 3678.8008,  Classification Accuracy: 99.22
Epoch: [62/150], Step [200/469], Loss: 3648.4531,  Classification Accuracy: 100.00
Epoch: [62/150], Step [300/469], Loss: 3582.1785,  Classification Accuracy: 99.22
Epoch: [62/150], Step [400/469], Loss: 3624.5496,  Classification Accuracy: 99.22
Epoch: [63/150], Step [100/469], Loss: 3783.4343,  Classification Accuracy: 100.00
Epoch: [63/150], Step [200/469], Loss: 3750.6611,  Classification Accuracy: 100.00
Epoch: [63/150], Step [300/469], Loss: 3717.4001,  Classification Accuracy: 100.00
Epoch: [63/150], Step [400/469], Loss: 3870.2766,  Classification Accuracy: 98.44
Epoch: [64/150], Step [100/469], Loss: 3850.9739,  Classification Accuracy: 100.00
Epoch: [64/150], Step [200/469], Loss: 3842.9961,  Classification Accuracy: 100.00
Epoch: [64/150], Step [300/469], Loss: 3661.6587,  Classification Accuracy: 99.22
Epoch: [64/150], Step [400/469], Loss: 3676.3303,  Classification Accuracy: 100.00
Epoch: [65/150], Step [100/469], Loss: 3674.3259,  Classification Accuracy: 99.22
Epoch: [65/150], Step [200/469], Loss: 3689.8420,  Classification Accuracy: 100.00
Epoch: [65/150], Step [300/469], Loss: 3633.8550,  Classification Accuracy: 99.22
Epoch: [65/150], Step [400/469], Loss: 3832.2400,  Classification Accuracy: 100.00
Epoch: [66/150], Step [100/469], Loss: 3868.0774,  Classification Accuracy: 100.00
Epoch: [66/150], Step [200/469], Loss: 3643.2305,  Classification Accuracy: 100.00
Epoch: [66/150], Step [300/469], Loss: 3613.8376,  Classification Accuracy: 100.00
Epoch: [66/150], Step [400/469], Loss: 3573.4880,  Classification Accuracy: 99.22
Epoch: [67/150], Step [100/469], Loss: 3855.7317,  Classification Accuracy: 100.00
Epoch: [67/150], Step [200/469], Loss: 3795.5850,  Classification Accuracy: 99.22
Epoch: [67/150], Step [300/469], Loss: 3781.7314,  Classification Accuracy: 100.00
Epoch: [67/150], Step [400/469], Loss: 3779.6570,  Classification Accuracy: 99.22
Epoch: [68/150], Step [100/469], Loss: 3740.4282,  Classification Accuracy: 100.00
Epoch: [68/150], Step [200/469], Loss: 3874.5391,  Classification Accuracy: 100.00
Epoch: [68/150], Step [300/469], Loss: 3738.6448,  Classification Accuracy: 99.22
Epoch: [68/150], Step [400/469], Loss: 3640.6577,  Classification Accuracy: 99.22
Epoch: [69/150], Step [100/469], Loss: 3609.9839,  Classification Accuracy: 100.00
Epoch: [69/150], Step [200/469], Loss: 3526.3508,  Classification Accuracy: 100.00
Epoch: [69/150], Step [300/469], Loss: 3619.9990,  Classification Accuracy: 100.00
Epoch: [69/150], Step [400/469], Loss: 3685.6238,  Classification Accuracy: 100.00
Epoch: [70/150], Step [100/469], Loss: 3663.0100,  Classification Accuracy: 100.00
Epoch: [70/150], Step [200/469], Loss: 3769.2024,  Classification Accuracy: 100.00
Epoch: [70/150], Step [300/469], Loss: 3540.8650,  Classification Accuracy: 100.00
Epoch: [70/150], Step [400/469], Loss: 3747.8091,  Classification Accuracy: 100.00
Epoch: [71/150], Step [100/469], Loss: 3785.2869,  Classification Accuracy: 100.00
Epoch: [71/150], Step [200/469], Loss: 3627.2878,  Classification Accuracy: 100.00
Epoch: [71/150], Step [300/469], Loss: 3756.3577,  Classification Accuracy: 100.00
Epoch: [71/150], Step [400/469], Loss: 3620.6738,  Classification Accuracy: 100.00
Epoch: [72/150], Step [100/469], Loss: 3832.4746,  Classification Accuracy: 100.00
Epoch: [72/150], Step [200/469], Loss: 3738.5671,  Classification Accuracy: 100.00
Epoch: [72/150], Step [300/469], Loss: 3871.9404,  Classification Accuracy: 100.00
Epoch: [72/150], Step [400/469], Loss: 3662.3977,  Classification Accuracy: 98.44
Epoch: [73/150], Step [100/469], Loss: 3699.0676,  Classification Accuracy: 100.00
Epoch: [73/150], Step [200/469], Loss: 3571.9001,  Classification Accuracy: 100.00
Epoch: [73/150], Step [300/469], Loss: 3695.3799,  Classification Accuracy: 100.00
Epoch: [73/150], Step [400/469], Loss: 3706.8923,  Classification Accuracy: 100.00
Epoch: [74/150], Step [100/469], Loss: 3747.8716,  Classification Accuracy: 100.00
Epoch: [74/150], Step [200/469], Loss: 3576.2744,  Classification Accuracy: 100.00
Epoch: [74/150], Step [300/469], Loss: 3636.6482,  Classification Accuracy: 100.00
Epoch: [74/150], Step [400/469], Loss: 3768.2532,  Classification Accuracy: 100.00
Epoch: [75/150], Step [100/469], Loss: 3627.4470,  Classification Accuracy: 100.00
Epoch: [75/150], Step [200/469], Loss: 3605.7678,  Classification Accuracy: 99.22
Epoch: [75/150], Step [300/469], Loss: 3738.5042,  Classification Accuracy: 100.00
Epoch: [75/150], Step [400/469], Loss: 3630.0037,  Classification Accuracy: 99.22
Epoch: [76/150], Step [100/469], Loss: 3731.5061,  Classification Accuracy: 100.00
Epoch: [76/150], Step [200/469], Loss: 3764.7783,  Classification Accuracy: 100.00
Epoch: [76/150], Step [300/469], Loss: 3672.1038,  Classification Accuracy: 98.44
Epoch: [76/150], Step [400/469], Loss: 3647.3853,  Classification Accuracy: 99.22
Epoch: [77/150], Step [100/469], Loss: 3623.2781,  Classification Accuracy: 100.00
Epoch: [77/150], Step [200/469], Loss: 3845.3137,  Classification Accuracy: 100.00
Epoch: [77/150], Step [300/469], Loss: 3686.0754,  Classification Accuracy: 98.44
Epoch: [77/150], Step [400/469], Loss: 3784.0793,  Classification Accuracy: 100.00
Epoch: [78/150], Step [100/469], Loss: 3736.0400,  Classification Accuracy: 100.00
Epoch: [78/150], Step [200/469], Loss: 3890.9636,  Classification Accuracy: 100.00
Epoch: [78/150], Step [300/469], Loss: 3640.9624,  Classification Accuracy: 100.00
Epoch: [78/150], Step [400/469], Loss: 3664.9229,  Classification Accuracy: 100.00
Epoch: [79/150], Step [100/469], Loss: 3685.3748,  Classification Accuracy: 99.22
Epoch: [79/150], Step [200/469], Loss: 3655.8901,  Classification Accuracy: 100.00
Epoch: [79/150], Step [300/469], Loss: 3600.3943,  Classification Accuracy: 99.22
Epoch: [79/150], Step [400/469], Loss: 3762.1475,  Classification Accuracy: 99.22
Epoch: [80/150], Step [100/469], Loss: 3846.6284,  Classification Accuracy: 98.44
Epoch: [80/150], Step [200/469], Loss: 3681.7690,  Classification Accuracy: 100.00
Epoch: [80/150], Step [300/469], Loss: 3541.8616,  Classification Accuracy: 100.00
Epoch: [80/150], Step [400/469], Loss: 3600.7661,  Classification Accuracy: 100.00
Epoch: [81/150], Step [100/469], Loss: 3676.6262,  Classification Accuracy: 99.22
Epoch: [81/150], Step [200/469], Loss: 3741.6096,  Classification Accuracy: 99.22
Epoch: [81/150], Step [300/469], Loss: 3870.9036,  Classification Accuracy: 100.00
Epoch: [81/150], Step [400/469], Loss: 3597.4304,  Classification Accuracy: 100.00
Epoch: [82/150], Step [100/469], Loss: 3642.9058,  Classification Accuracy: 100.00
Epoch: [82/150], Step [200/469], Loss: 3702.1526,  Classification Accuracy: 100.00
Epoch: [82/150], Step [300/469], Loss: 3731.8567,  Classification Accuracy: 99.22
Epoch: [82/150], Step [400/469], Loss: 3851.7788,  Classification Accuracy: 98.44
Epoch: [83/150], Step [100/469], Loss: 3579.8062,  Classification Accuracy: 100.00
Epoch: [83/150], Step [200/469], Loss: 3799.5813,  Classification Accuracy: 100.00
Epoch: [83/150], Step [300/469], Loss: 3739.5540,  Classification Accuracy: 99.22
Epoch: [83/150], Step [400/469], Loss: 3541.6003,  Classification Accuracy: 100.00
Epoch: [84/150], Step [100/469], Loss: 3815.2847,  Classification Accuracy: 100.00
Epoch: [84/150], Step [200/469], Loss: 3689.9846,  Classification Accuracy: 100.00
Epoch: [84/150], Step [300/469], Loss: 3687.9465,  Classification Accuracy: 100.00
Epoch: [84/150], Step [400/469], Loss: 3755.5293,  Classification Accuracy: 100.00
Epoch: [85/150], Step [100/469], Loss: 3787.4607,  Classification Accuracy: 100.00
Epoch: [85/150], Step [200/469], Loss: 3633.1907,  Classification Accuracy: 100.00
Epoch: [85/150], Step [300/469], Loss: 3720.3621,  Classification Accuracy: 100.00
Epoch: [85/150], Step [400/469], Loss: 3720.0728,  Classification Accuracy: 100.00
Epoch: [86/150], Step [100/469], Loss: 3744.1301,  Classification Accuracy: 100.00
Epoch: [86/150], Step [200/469], Loss: 3715.7793,  Classification Accuracy: 100.00
Epoch: [86/150], Step [300/469], Loss: 3702.1289,  Classification Accuracy: 98.44
Epoch: [86/150], Step [400/469], Loss: 3889.6179,  Classification Accuracy: 100.00
Epoch: [87/150], Step [100/469], Loss: 3526.0579,  Classification Accuracy: 100.00
Epoch: [87/150], Step [200/469], Loss: 3705.0469,  Classification Accuracy: 100.00
Epoch: [87/150], Step [300/469], Loss: 3615.4734,  Classification Accuracy: 100.00
Epoch: [87/150], Step [400/469], Loss: 3797.9792,  Classification Accuracy: 100.00
Epoch: [88/150], Step [100/469], Loss: 3828.7346,  Classification Accuracy: 100.00
Epoch: [88/150], Step [200/469], Loss: 3604.7830,  Classification Accuracy: 99.22
Epoch: [88/150], Step [300/469], Loss: 3491.6086,  Classification Accuracy: 99.22
Epoch: [88/150], Step [400/469], Loss: 3637.1199,  Classification Accuracy: 98.44
Epoch: [89/150], Step [100/469], Loss: 3678.8914,  Classification Accuracy: 100.00
Epoch: [89/150], Step [200/469], Loss: 3676.1274,  Classification Accuracy: 100.00
Epoch: [89/150], Step [300/469], Loss: 3703.1511,  Classification Accuracy: 100.00
Epoch: [89/150], Step [400/469], Loss: 3578.5955,  Classification Accuracy: 100.00
Epoch: [90/150], Step [100/469], Loss: 3803.1614,  Classification Accuracy: 100.00
Epoch: [90/150], Step [200/469], Loss: 3574.8350,  Classification Accuracy: 100.00
Epoch: [90/150], Step [300/469], Loss: 3793.1240,  Classification Accuracy: 100.00
Epoch: [90/150], Step [400/469], Loss: 3593.2568,  Classification Accuracy: 97.66
Epoch: [91/150], Step [100/469], Loss: 3740.2869,  Classification Accuracy: 99.22
Epoch: [91/150], Step [200/469], Loss: 3668.5032,  Classification Accuracy: 100.00
Epoch: [91/150], Step [300/469], Loss: 3640.6021,  Classification Accuracy: 99.22
Epoch: [91/150], Step [400/469], Loss: 3580.2502,  Classification Accuracy: 100.00
Epoch: [92/150], Step [100/469], Loss: 3750.6113,  Classification Accuracy: 100.00
Epoch: [92/150], Step [200/469], Loss: 3601.2371,  Classification Accuracy: 100.00
Epoch: [92/150], Step [300/469], Loss: 3836.5464,  Classification Accuracy: 99.22
Epoch: [92/150], Step [400/469], Loss: 3767.0278,  Classification Accuracy: 98.44
Epoch: [93/150], Step [100/469], Loss: 3708.7146,  Classification Accuracy: 100.00
Epoch: [93/150], Step [200/469], Loss: 3660.8296,  Classification Accuracy: 100.00
Epoch: [93/150], Step [300/469], Loss: 3636.5388,  Classification Accuracy: 100.00
Epoch: [93/150], Step [400/469], Loss: 3733.4377,  Classification Accuracy: 100.00
Epoch: [94/150], Step [100/469], Loss: 3705.0869,  Classification Accuracy: 100.00
Epoch: [94/150], Step [200/469], Loss: 3635.4167,  Classification Accuracy: 100.00
Epoch: [94/150], Step [300/469], Loss: 3800.0391,  Classification Accuracy: 99.22
Epoch: [94/150], Step [400/469], Loss: 3634.8325,  Classification Accuracy: 99.22
Epoch: [95/150], Step [100/469], Loss: 3632.3164,  Classification Accuracy: 100.00
Epoch: [95/150], Step [200/469], Loss: 3540.2898,  Classification Accuracy: 100.00
Epoch: [95/150], Step [300/469], Loss: 3716.1348,  Classification Accuracy: 100.00
Epoch: [95/150], Step [400/469], Loss: 3873.3032,  Classification Accuracy: 98.44
Epoch: [96/150], Step [100/469], Loss: 3639.7634,  Classification Accuracy: 98.44
Epoch: [96/150], Step [200/469], Loss: 3628.7341,  Classification Accuracy: 99.22
Epoch: [96/150], Step [300/469], Loss: 3547.8911,  Classification Accuracy: 99.22
Epoch: [96/150], Step [400/469], Loss: 3758.2988,  Classification Accuracy: 100.00
Epoch: [97/150], Step [100/469], Loss: 3601.7964,  Classification Accuracy: 100.00
Epoch: [97/150], Step [200/469], Loss: 3656.3477,  Classification Accuracy: 100.00
Epoch: [97/150], Step [300/469], Loss: 3593.5933,  Classification Accuracy: 100.00
Epoch: [97/150], Step [400/469], Loss: 3505.3093,  Classification Accuracy: 100.00
Epoch: [98/150], Step [100/469], Loss: 3489.1716,  Classification Accuracy: 100.00
Epoch: [98/150], Step [200/469], Loss: 3723.3523,  Classification Accuracy: 99.22
Epoch: [98/150], Step [300/469], Loss: 3649.5557,  Classification Accuracy: 100.00
Epoch: [98/150], Step [400/469], Loss: 3702.9668,  Classification Accuracy: 100.00
Epoch: [99/150], Step [100/469], Loss: 3566.2961,  Classification Accuracy: 99.22
Epoch: [99/150], Step [200/469], Loss: 3595.1704,  Classification Accuracy: 100.00
Epoch: [99/150], Step [300/469], Loss: 3778.3481,  Classification Accuracy: 100.00
Epoch: [99/150], Step [400/469], Loss: 3922.2031,  Classification Accuracy: 100.00
Epoch: [100/150], Step [100/469], Loss: 3516.5979,  Classification Accuracy: 99.22
Epoch: [100/150], Step [200/469], Loss: 3679.5896,  Classification Accuracy: 100.00
Epoch: [100/150], Step [300/469], Loss: 3620.7600,  Classification Accuracy: 100.00
Epoch: [100/150], Step [400/469], Loss: 3853.0142,  Classification Accuracy: 99.22
Epoch: [101/150], Step [100/469], Loss: 3600.0752,  Classification Accuracy: 99.22
Epoch: [101/150], Step [200/469], Loss: 3805.6758,  Classification Accuracy: 99.22
Epoch: [101/150], Step [300/469], Loss: 3649.2046,  Classification Accuracy: 99.22
Epoch: [101/150], Step [400/469], Loss: 3665.2437,  Classification Accuracy: 100.00
Epoch: [102/150], Step [100/469], Loss: 3525.8713,  Classification Accuracy: 99.22
Epoch: [102/150], Step [200/469], Loss: 3561.1035,  Classification Accuracy: 99.22
Epoch: [102/150], Step [300/469], Loss: 3559.6418,  Classification Accuracy: 100.00
Epoch: [102/150], Step [400/469], Loss: 3755.5361,  Classification Accuracy: 100.00
Epoch: [103/150], Step [100/469], Loss: 3796.8572,  Classification Accuracy: 100.00
Epoch: [103/150], Step [200/469], Loss: 3567.1594,  Classification Accuracy: 99.22
Epoch: [103/150], Step [300/469], Loss: 3760.9321,  Classification Accuracy: 100.00
Epoch: [103/150], Step [400/469], Loss: 3703.5811,  Classification Accuracy: 100.00
Epoch: [104/150], Step [100/469], Loss: 3788.6729,  Classification Accuracy: 100.00
Epoch: [104/150], Step [200/469], Loss: 3723.9104,  Classification Accuracy: 100.00
Epoch: [104/150], Step [300/469], Loss: 3667.1687,  Classification Accuracy: 100.00
Epoch: [104/150], Step [400/469], Loss: 3684.3635,  Classification Accuracy: 100.00
Epoch: [105/150], Step [100/469], Loss: 3607.2776,  Classification Accuracy: 100.00
Epoch: [105/150], Step [200/469], Loss: 3573.0652,  Classification Accuracy: 100.00
Epoch: [105/150], Step [300/469], Loss: 3586.8738,  Classification Accuracy: 100.00
Epoch: [105/150], Step [400/469], Loss: 3726.1719,  Classification Accuracy: 100.00
Epoch: [106/150], Step [100/469], Loss: 3716.5913,  Classification Accuracy: 100.00
Epoch: [106/150], Step [200/469], Loss: 3445.8240,  Classification Accuracy: 100.00
Epoch: [106/150], Step [300/469], Loss: 3714.5066,  Classification Accuracy: 99.22
Epoch: [106/150], Step [400/469], Loss: 3728.5945,  Classification Accuracy: 99.22
Epoch: [107/150], Step [100/469], Loss: 3657.3857,  Classification Accuracy: 100.00
Epoch: [107/150], Step [200/469], Loss: 3920.0042,  Classification Accuracy: 100.00
Epoch: [107/150], Step [300/469], Loss: 3569.7573,  Classification Accuracy: 99.22
Epoch: [107/150], Step [400/469], Loss: 3595.9016,  Classification Accuracy: 98.44
Epoch: [108/150], Step [100/469], Loss: 3710.5181,  Classification Accuracy: 98.44
Epoch: [108/150], Step [200/469], Loss: 3517.7102,  Classification Accuracy: 100.00
Epoch: [108/150], Step [300/469], Loss: 3729.9285,  Classification Accuracy: 100.00
Epoch: [108/150], Step [400/469], Loss: 3665.7051,  Classification Accuracy: 98.44
Epoch: [109/150], Step [100/469], Loss: 3679.4084,  Classification Accuracy: 100.00
Epoch: [109/150], Step [200/469], Loss: 3591.5093,  Classification Accuracy: 100.00
Epoch: [109/150], Step [300/469], Loss: 3705.5444,  Classification Accuracy: 100.00
Epoch: [109/150], Step [400/469], Loss: 3722.2422,  Classification Accuracy: 99.22
Epoch: [110/150], Step [100/469], Loss: 3587.6033,  Classification Accuracy: 100.00
Epoch: [110/150], Step [200/469], Loss: 3512.4126,  Classification Accuracy: 100.00
Epoch: [110/150], Step [300/469], Loss: 3798.0303,  Classification Accuracy: 100.00
Epoch: [110/150], Step [400/469], Loss: 3464.6943,  Classification Accuracy: 100.00
Epoch: [111/150], Step [100/469], Loss: 3665.4438,  Classification Accuracy: 100.00
Epoch: [111/150], Step [200/469], Loss: 3658.9080,  Classification Accuracy: 100.00
Epoch: [111/150], Step [300/469], Loss: 3586.9407,  Classification Accuracy: 100.00
Epoch: [111/150], Step [400/469], Loss: 3597.0005,  Classification Accuracy: 100.00
Epoch: [112/150], Step [100/469], Loss: 3649.6863,  Classification Accuracy: 100.00
Epoch: [112/150], Step [200/469], Loss: 3749.3403,  Classification Accuracy: 100.00
Epoch: [112/150], Step [300/469], Loss: 3820.4739,  Classification Accuracy: 99.22
Epoch: [112/150], Step [400/469], Loss: 3618.3899,  Classification Accuracy: 99.22
Epoch: [113/150], Step [100/469], Loss: 3463.0837,  Classification Accuracy: 99.22
Epoch: [113/150], Step [200/469], Loss: 3608.4385,  Classification Accuracy: 100.00
Epoch: [113/150], Step [300/469], Loss: 3575.1040,  Classification Accuracy: 100.00
Epoch: [113/150], Step [400/469], Loss: 3651.8467,  Classification Accuracy: 100.00
Epoch: [114/150], Step [100/469], Loss: 3661.0747,  Classification Accuracy: 100.00
Epoch: [114/150], Step [200/469], Loss: 3674.7358,  Classification Accuracy: 100.00
Epoch: [114/150], Step [300/469], Loss: 3810.8162,  Classification Accuracy: 99.22
Epoch: [114/150], Step [400/469], Loss: 3802.9724,  Classification Accuracy: 99.22
Epoch: [115/150], Step [100/469], Loss: 3820.0557,  Classification Accuracy: 100.00
Epoch: [115/150], Step [200/469], Loss: 3611.2878,  Classification Accuracy: 100.00
Epoch: [115/150], Step [300/469], Loss: 3807.8098,  Classification Accuracy: 100.00
Epoch: [115/150], Step [400/469], Loss: 3714.4343,  Classification Accuracy: 99.22
Epoch: [116/150], Step [100/469], Loss: 3762.5974,  Classification Accuracy: 100.00
Epoch: [116/150], Step [200/469], Loss: 3843.0935,  Classification Accuracy: 100.00
Epoch: [116/150], Step [300/469], Loss: 3710.2141,  Classification Accuracy: 100.00
Epoch: [116/150], Step [400/469], Loss: 3643.2019,  Classification Accuracy: 99.22
Epoch: [117/150], Step [100/469], Loss: 3689.2373,  Classification Accuracy: 99.22
Epoch: [117/150], Step [200/469], Loss: 3766.0247,  Classification Accuracy: 99.22
Epoch: [117/150], Step [300/469], Loss: 3502.1580,  Classification Accuracy: 99.22
Epoch: [117/150], Step [400/469], Loss: 3600.6489,  Classification Accuracy: 100.00
Epoch: [118/150], Step [100/469], Loss: 3679.5002,  Classification Accuracy: 100.00
Epoch: [118/150], Step [200/469], Loss: 3762.8848,  Classification Accuracy: 99.22
Epoch: [118/150], Step [300/469], Loss: 3734.6238,  Classification Accuracy: 99.22
Epoch: [118/150], Step [400/469], Loss: 3666.4946,  Classification Accuracy: 99.22
Epoch: [119/150], Step [100/469], Loss: 3577.3167,  Classification Accuracy: 100.00
Epoch: [119/150], Step [200/469], Loss: 3759.8049,  Classification Accuracy: 99.22
Epoch: [119/150], Step [300/469], Loss: 3788.5576,  Classification Accuracy: 99.22
Epoch: [119/150], Step [400/469], Loss: 3577.8633,  Classification Accuracy: 100.00
Epoch: [120/150], Step [100/469], Loss: 3670.3765,  Classification Accuracy: 100.00
Epoch: [120/150], Step [200/469], Loss: 3654.0791,  Classification Accuracy: 100.00
Epoch: [120/150], Step [300/469], Loss: 3556.7664,  Classification Accuracy: 100.00
Epoch: [120/150], Step [400/469], Loss: 3732.3401,  Classification Accuracy: 100.00
Epoch: [121/150], Step [100/469], Loss: 3500.6089,  Classification Accuracy: 100.00
Epoch: [121/150], Step [200/469], Loss: 3652.6824,  Classification Accuracy: 100.00
Epoch: [121/150], Step [300/469], Loss: 3581.7202,  Classification Accuracy: 100.00
Epoch: [121/150], Step [400/469], Loss: 3636.1240,  Classification Accuracy: 100.00
Epoch: [122/150], Step [100/469], Loss: 3613.8896,  Classification Accuracy: 99.22
Epoch: [122/150], Step [200/469], Loss: 3569.4395,  Classification Accuracy: 100.00
Epoch: [122/150], Step [300/469], Loss: 3448.2881,  Classification Accuracy: 100.00
Epoch: [122/150], Step [400/469], Loss: 3742.6499,  Classification Accuracy: 100.00
Epoch: [123/150], Step [100/469], Loss: 3635.4519,  Classification Accuracy: 100.00
Epoch: [123/150], Step [200/469], Loss: 3664.9697,  Classification Accuracy: 100.00
Epoch: [123/150], Step [300/469], Loss: 3740.2698,  Classification Accuracy: 99.22
Epoch: [123/150], Step [400/469], Loss: 3739.5271,  Classification Accuracy: 100.00
Epoch: [124/150], Step [100/469], Loss: 3607.7026,  Classification Accuracy: 100.00
Epoch: [124/150], Step [200/469], Loss: 3648.1206,  Classification Accuracy: 99.22
Epoch: [124/150], Step [300/469], Loss: 3701.7581,  Classification Accuracy: 99.22
Epoch: [124/150], Step [400/469], Loss: 3740.6868,  Classification Accuracy: 99.22
Epoch: [125/150], Step [100/469], Loss: 3670.2605,  Classification Accuracy: 100.00
Epoch: [125/150], Step [200/469], Loss: 3653.9653,  Classification Accuracy: 100.00
Epoch: [125/150], Step [300/469], Loss: 3533.6455,  Classification Accuracy: 99.22
Epoch: [125/150], Step [400/469], Loss: 3845.1211,  Classification Accuracy: 99.22
Epoch: [126/150], Step [100/469], Loss: 3613.9282,  Classification Accuracy: 99.22
Epoch: [126/150], Step [200/469], Loss: 3677.2678,  Classification Accuracy: 100.00
Epoch: [126/150], Step [300/469], Loss: 3591.7471,  Classification Accuracy: 100.00
Epoch: [126/150], Step [400/469], Loss: 3631.2078,  Classification Accuracy: 99.22
Epoch: [127/150], Step [100/469], Loss: 3642.7349,  Classification Accuracy: 100.00
Epoch: [127/150], Step [200/469], Loss: 3439.6729,  Classification Accuracy: 100.00
Epoch: [127/150], Step [300/469], Loss: 3855.3503,  Classification Accuracy: 100.00
Epoch: [127/150], Step [400/469], Loss: 3669.5344,  Classification Accuracy: 100.00
Epoch: [128/150], Step [100/469], Loss: 3487.6367,  Classification Accuracy: 100.00
Epoch: [128/150], Step [200/469], Loss: 3576.0544,  Classification Accuracy: 99.22
Epoch: [128/150], Step [300/469], Loss: 3607.6814,  Classification Accuracy: 99.22
Epoch: [128/150], Step [400/469], Loss: 3557.1689,  Classification Accuracy: 100.00
Epoch: [129/150], Step [100/469], Loss: 3787.7131,  Classification Accuracy: 100.00
Epoch: [129/150], Step [200/469], Loss: 3527.4836,  Classification Accuracy: 100.00
Epoch: [129/150], Step [300/469], Loss: 3555.9712,  Classification Accuracy: 100.00
Epoch: [129/150], Step [400/469], Loss: 3605.8804,  Classification Accuracy: 100.00
Epoch: [130/150], Step [100/469], Loss: 3533.9861,  Classification Accuracy: 100.00
Epoch: [130/150], Step [200/469], Loss: 3714.6919,  Classification Accuracy: 100.00
Epoch: [130/150], Step [300/469], Loss: 3565.5193,  Classification Accuracy: 100.00
Epoch: [130/150], Step [400/469], Loss: 3560.5107,  Classification Accuracy: 99.22
Epoch: [131/150], Step [100/469], Loss: 3510.2544,  Classification Accuracy: 100.00
Epoch: [131/150], Step [200/469], Loss: 3679.3696,  Classification Accuracy: 100.00
Epoch: [131/150], Step [300/469], Loss: 3619.3860,  Classification Accuracy: 100.00
Epoch: [131/150], Step [400/469], Loss: 3881.4048,  Classification Accuracy: 100.00
Epoch: [132/150], Step [100/469], Loss: 3794.4365,  Classification Accuracy: 98.44
Epoch: [132/150], Step [200/469], Loss: 3720.7937,  Classification Accuracy: 100.00
Epoch: [132/150], Step [300/469], Loss: 3443.1624,  Classification Accuracy: 100.00
Epoch: [132/150], Step [400/469], Loss: 3735.4658,  Classification Accuracy: 99.22
Epoch: [133/150], Step [100/469], Loss: 3669.5857,  Classification Accuracy: 100.00
Epoch: [133/150], Step [200/469], Loss: 3494.0342,  Classification Accuracy: 98.44
Epoch: [133/150], Step [300/469], Loss: 3474.3638,  Classification Accuracy: 98.44
Epoch: [133/150], Step [400/469], Loss: 3563.8313,  Classification Accuracy: 97.66
Epoch: [134/150], Step [100/469], Loss: 3732.1104,  Classification Accuracy: 100.00
Epoch: [134/150], Step [200/469], Loss: 3683.0496,  Classification Accuracy: 100.00
Epoch: [134/150], Step [300/469], Loss: 3606.0471,  Classification Accuracy: 100.00
Epoch: [134/150], Step [400/469], Loss: 3587.9033,  Classification Accuracy: 97.66
Epoch: [135/150], Step [100/469], Loss: 3610.1865,  Classification Accuracy: 100.00
Epoch: [135/150], Step [200/469], Loss: 3605.2578,  Classification Accuracy: 100.00
Epoch: [135/150], Step [300/469], Loss: 3623.9705,  Classification Accuracy: 99.22
Epoch: [135/150], Step [400/469], Loss: 3689.5940,  Classification Accuracy: 99.22
Epoch: [136/150], Step [100/469], Loss: 3487.5100,  Classification Accuracy: 100.00
Epoch: [136/150], Step [200/469], Loss: 3511.4014,  Classification Accuracy: 98.44
Epoch: [136/150], Step [300/469], Loss: 3571.1147,  Classification Accuracy: 100.00
Epoch: [136/150], Step [400/469], Loss: 3636.8855,  Classification Accuracy: 99.22
Epoch: [137/150], Step [100/469], Loss: 3670.8708,  Classification Accuracy: 100.00
Epoch: [137/150], Step [200/469], Loss: 3465.8538,  Classification Accuracy: 100.00
Epoch: [137/150], Step [300/469], Loss: 3661.1692,  Classification Accuracy: 100.00
Epoch: [137/150], Step [400/469], Loss: 3682.9998,  Classification Accuracy: 100.00
Epoch: [138/150], Step [100/469], Loss: 3520.2090,  Classification Accuracy: 100.00
Epoch: [138/150], Step [200/469], Loss: 3711.1074,  Classification Accuracy: 99.22
Epoch: [138/150], Step [300/469], Loss: 3560.9072,  Classification Accuracy: 100.00
Epoch: [138/150], Step [400/469], Loss: 3643.7346,  Classification Accuracy: 99.22
Epoch: [139/150], Step [100/469], Loss: 3671.1536,  Classification Accuracy: 99.22
Epoch: [139/150], Step [200/469], Loss: 3615.3284,  Classification Accuracy: 100.00
Epoch: [139/150], Step [300/469], Loss: 3765.9678,  Classification Accuracy: 99.22
Epoch: [139/150], Step [400/469], Loss: 3548.8164,  Classification Accuracy: 100.00
Epoch: [140/150], Step [100/469], Loss: 3674.0056,  Classification Accuracy: 100.00
Epoch: [140/150], Step [200/469], Loss: 3671.7053,  Classification Accuracy: 98.44
Epoch: [140/150], Step [300/469], Loss: 3617.5439,  Classification Accuracy: 100.00
Epoch: [140/150], Step [400/469], Loss: 3579.1057,  Classification Accuracy: 100.00
Epoch: [141/150], Step [100/469], Loss: 3703.1853,  Classification Accuracy: 100.00
Epoch: [141/150], Step [200/469], Loss: 3527.0935,  Classification Accuracy: 100.00
Epoch: [141/150], Step [300/469], Loss: 3689.2087,  Classification Accuracy: 99.22
Epoch: [141/150], Step [400/469], Loss: 3704.3286,  Classification Accuracy: 100.00
Epoch: [142/150], Step [100/469], Loss: 3558.4067,  Classification Accuracy: 100.00
Epoch: [142/150], Step [200/469], Loss: 3534.0842,  Classification Accuracy: 100.00
Epoch: [142/150], Step [300/469], Loss: 3678.1836,  Classification Accuracy: 100.00
Epoch: [142/150], Step [400/469], Loss: 3652.3542,  Classification Accuracy: 100.00
Epoch: [143/150], Step [100/469], Loss: 3761.9785,  Classification Accuracy: 100.00
Epoch: [143/150], Step [200/469], Loss: 3510.0996,  Classification Accuracy: 100.00
Epoch: [143/150], Step [300/469], Loss: 3739.3997,  Classification Accuracy: 98.44
Epoch: [143/150], Step [400/469], Loss: 3677.1438,  Classification Accuracy: 100.00
Epoch: [144/150], Step [100/469], Loss: 3611.9028,  Classification Accuracy: 99.22
Epoch: [144/150], Step [200/469], Loss: 3701.2649,  Classification Accuracy: 100.00
Epoch: [144/150], Step [300/469], Loss: 3586.6707,  Classification Accuracy: 100.00
Epoch: [144/150], Step [400/469], Loss: 3577.2446,  Classification Accuracy: 100.00
Epoch: [145/150], Step [100/469], Loss: 3775.8052,  Classification Accuracy: 100.00
Epoch: [145/150], Step [200/469], Loss: 3642.2749,  Classification Accuracy: 99.22
Epoch: [145/150], Step [300/469], Loss: 3519.1897,  Classification Accuracy: 100.00
Epoch: [145/150], Step [400/469], Loss: 3744.9548,  Classification Accuracy: 100.00
Epoch: [146/150], Step [100/469], Loss: 3596.4004,  Classification Accuracy: 100.00
Epoch: [146/150], Step [200/469], Loss: 3674.1287,  Classification Accuracy: 100.00
Epoch: [146/150], Step [300/469], Loss: 3560.2905,  Classification Accuracy: 100.00
Epoch: [146/150], Step [400/469], Loss: 3580.1221,  Classification Accuracy: 99.22
Epoch: [147/150], Step [100/469], Loss: 3569.1626,  Classification Accuracy: 100.00
Epoch: [147/150], Step [200/469], Loss: 3638.6426,  Classification Accuracy: 100.00
Epoch: [147/150], Step [300/469], Loss: 3710.6379,  Classification Accuracy: 100.00
Epoch: [147/150], Step [400/469], Loss: 3570.8660,  Classification Accuracy: 100.00
Epoch: [148/150], Step [100/469], Loss: 3643.1118,  Classification Accuracy: 99.22
Epoch: [148/150], Step [200/469], Loss: 3436.9106,  Classification Accuracy: 100.00
Epoch: [148/150], Step [300/469], Loss: 3536.9724,  Classification Accuracy: 100.00
Epoch: [148/150], Step [400/469], Loss: 3605.2024,  Classification Accuracy: 99.22
Epoch: [149/150], Step [100/469], Loss: 3767.6206,  Classification Accuracy: 100.00
Epoch: [149/150], Step [200/469], Loss: 3660.6689,  Classification Accuracy: 99.22
Epoch: [149/150], Step [300/469], Loss: 3767.7959,  Classification Accuracy: 100.00
Epoch: [149/150], Step [400/469], Loss: 3591.9058,  Classification Accuracy: 98.44
Accuracy of the network on the 10000 test images: 98.6500 %
The average reconstruction loss on the network is 385494
Lambda: 0.1
Epoch: [0/150], Step [100/469], Loss: 2342.1226,  Classification Accuracy: 88.28
Epoch: [0/150], Step [200/469], Loss: 2172.8672,  Classification Accuracy: 95.31
Epoch: [0/150], Step [300/469], Loss: 2129.7175,  Classification Accuracy: 95.31
Epoch: [0/150], Step [400/469], Loss: 2217.9165,  Classification Accuracy: 96.88
Epoch: [1/150], Step [100/469], Loss: 2116.1025,  Classification Accuracy: 93.75
Epoch: [1/150], Step [200/469], Loss: 2090.3066,  Classification Accuracy: 96.09
Epoch: [1/150], Step [300/469], Loss: 2104.5449,  Classification Accuracy: 98.44
Epoch: [1/150], Step [400/469], Loss: 1982.7797,  Classification Accuracy: 96.88
Epoch: [2/150], Step [100/469], Loss: 2024.6709,  Classification Accuracy: 93.75
Epoch: [2/150], Step [200/469], Loss: 2058.9763,  Classification Accuracy: 96.88
Epoch: [2/150], Step [300/469], Loss: 2086.0251,  Classification Accuracy: 97.66
Epoch: [2/150], Step [400/469], Loss: 2013.8960,  Classification Accuracy: 97.66
Epoch: [3/150], Step [100/469], Loss: 2055.2354,  Classification Accuracy: 97.66
Epoch: [3/150], Step [200/469], Loss: 2005.2308,  Classification Accuracy: 99.22
Epoch: [3/150], Step [300/469], Loss: 2004.3073,  Classification Accuracy: 97.66
Epoch: [3/150], Step [400/469], Loss: 2099.2146,  Classification Accuracy: 99.22
Epoch: [4/150], Step [100/469], Loss: 2099.9788,  Classification Accuracy: 100.00
Epoch: [4/150], Step [200/469], Loss: 1904.4340,  Classification Accuracy: 96.88
Epoch: [4/150], Step [300/469], Loss: 2069.6614,  Classification Accuracy: 97.66
Epoch: [4/150], Step [400/469], Loss: 1895.3972,  Classification Accuracy: 98.44
Epoch: [5/150], Step [100/469], Loss: 2039.4806,  Classification Accuracy: 96.88
Epoch: [5/150], Step [200/469], Loss: 1998.4020,  Classification Accuracy: 99.22
Epoch: [5/150], Step [300/469], Loss: 2035.6356,  Classification Accuracy: 100.00
Epoch: [5/150], Step [400/469], Loss: 2027.8949,  Classification Accuracy: 99.22
Epoch: [6/150], Step [100/469], Loss: 2061.2188,  Classification Accuracy: 98.44
Epoch: [6/150], Step [200/469], Loss: 2024.5825,  Classification Accuracy: 98.44
Epoch: [6/150], Step [300/469], Loss: 1995.6332,  Classification Accuracy: 100.00
Epoch: [6/150], Step [400/469], Loss: 2044.7593,  Classification Accuracy: 100.00
Epoch: [7/150], Step [100/469], Loss: 2002.5388,  Classification Accuracy: 97.66
Epoch: [7/150], Step [200/469], Loss: 1992.1779,  Classification Accuracy: 99.22
Epoch: [7/150], Step [300/469], Loss: 1934.9573,  Classification Accuracy: 99.22
Epoch: [7/150], Step [400/469], Loss: 2066.3096,  Classification Accuracy: 98.44
Epoch: [8/150], Step [100/469], Loss: 2037.3071,  Classification Accuracy: 99.22
Epoch: [8/150], Step [200/469], Loss: 1939.1863,  Classification Accuracy: 99.22
Epoch: [8/150], Step [300/469], Loss: 1929.8307,  Classification Accuracy: 96.88
Epoch: [8/150], Step [400/469], Loss: 2018.7394,  Classification Accuracy: 97.66
Epoch: [9/150], Step [100/469], Loss: 1931.6132,  Classification Accuracy: 97.66
Epoch: [9/150], Step [200/469], Loss: 2057.0598,  Classification Accuracy: 99.22
Epoch: [9/150], Step [300/469], Loss: 1989.5206,  Classification Accuracy: 96.88
Epoch: [9/150], Step [400/469], Loss: 2024.3645,  Classification Accuracy: 98.44
Epoch: [10/150], Step [100/469], Loss: 2041.7302,  Classification Accuracy: 97.66
Epoch: [10/150], Step [200/469], Loss: 1954.8481,  Classification Accuracy: 100.00
Epoch: [10/150], Step [300/469], Loss: 1988.8826,  Classification Accuracy: 100.00
Epoch: [10/150], Step [400/469], Loss: 2036.1783,  Classification Accuracy: 99.22
Epoch: [11/150], Step [100/469], Loss: 1993.4613,  Classification Accuracy: 99.22
Epoch: [11/150], Step [200/469], Loss: 2002.7588,  Classification Accuracy: 98.44
Epoch: [11/150], Step [300/469], Loss: 1922.4697,  Classification Accuracy: 96.88
Epoch: [11/150], Step [400/469], Loss: 1944.5402,  Classification Accuracy: 98.44
Epoch: [12/150], Step [100/469], Loss: 1885.9070,  Classification Accuracy: 97.66
Epoch: [12/150], Step [200/469], Loss: 1948.7865,  Classification Accuracy: 99.22
Epoch: [12/150], Step [300/469], Loss: 1955.4706,  Classification Accuracy: 98.44
Epoch: [12/150], Step [400/469], Loss: 2012.4680,  Classification Accuracy: 99.22
Epoch: [13/150], Step [100/469], Loss: 1935.7129,  Classification Accuracy: 99.22
Epoch: [13/150], Step [200/469], Loss: 2042.8446,  Classification Accuracy: 99.22
Epoch: [13/150], Step [300/469], Loss: 1934.4679,  Classification Accuracy: 98.44
Epoch: [13/150], Step [400/469], Loss: 1935.0295,  Classification Accuracy: 99.22
Epoch: [14/150], Step [100/469], Loss: 1859.8113,  Classification Accuracy: 98.44
Epoch: [14/150], Step [200/469], Loss: 1998.9510,  Classification Accuracy: 100.00
Epoch: [14/150], Step [300/469], Loss: 1895.5374,  Classification Accuracy: 99.22
Epoch: [14/150], Step [400/469], Loss: 2016.1503,  Classification Accuracy: 99.22
Epoch: [15/150], Step [100/469], Loss: 1995.7782,  Classification Accuracy: 98.44
Epoch: [15/150], Step [200/469], Loss: 2007.9015,  Classification Accuracy: 99.22
Epoch: [15/150], Step [300/469], Loss: 1811.6027,  Classification Accuracy: 100.00
Epoch: [15/150], Step [400/469], Loss: 2109.0796,  Classification Accuracy: 99.22
Epoch: [16/150], Step [100/469], Loss: 1952.1743,  Classification Accuracy: 100.00
Epoch: [16/150], Step [200/469], Loss: 2073.3149,  Classification Accuracy: 100.00
Epoch: [16/150], Step [300/469], Loss: 1938.8723,  Classification Accuracy: 99.22
Epoch: [16/150], Step [400/469], Loss: 1980.4817,  Classification Accuracy: 100.00
Epoch: [17/150], Step [100/469], Loss: 1999.9540,  Classification Accuracy: 100.00
Epoch: [17/150], Step [200/469], Loss: 1949.4218,  Classification Accuracy: 100.00
Epoch: [17/150], Step [300/469], Loss: 1988.1488,  Classification Accuracy: 99.22
Epoch: [17/150], Step [400/469], Loss: 1894.6033,  Classification Accuracy: 100.00
Epoch: [18/150], Step [100/469], Loss: 1923.1672,  Classification Accuracy: 100.00
Epoch: [18/150], Step [200/469], Loss: 1958.8219,  Classification Accuracy: 99.22
Epoch: [18/150], Step [300/469], Loss: 2032.0304,  Classification Accuracy: 99.22
Epoch: [18/150], Step [400/469], Loss: 1867.7168,  Classification Accuracy: 100.00
Epoch: [19/150], Step [100/469], Loss: 1923.0143,  Classification Accuracy: 100.00
Epoch: [19/150], Step [200/469], Loss: 1861.4020,  Classification Accuracy: 99.22
Epoch: [19/150], Step [300/469], Loss: 1971.0093,  Classification Accuracy: 99.22
Epoch: [19/150], Step [400/469], Loss: 1962.5779,  Classification Accuracy: 100.00
Epoch: [20/150], Step [100/469], Loss: 1973.5117,  Classification Accuracy: 100.00
Epoch: [20/150], Step [200/469], Loss: 1858.7803,  Classification Accuracy: 100.00
Epoch: [20/150], Step [300/469], Loss: 1859.4917,  Classification Accuracy: 100.00
Epoch: [20/150], Step [400/469], Loss: 1882.1655,  Classification Accuracy: 100.00
Epoch: [21/150], Step [100/469], Loss: 1842.4902,  Classification Accuracy: 100.00
Epoch: [21/150], Step [200/469], Loss: 1950.4586,  Classification Accuracy: 100.00
Epoch: [21/150], Step [300/469], Loss: 1883.7056,  Classification Accuracy: 100.00
Epoch: [21/150], Step [400/469], Loss: 1949.3829,  Classification Accuracy: 100.00
Epoch: [22/150], Step [100/469], Loss: 1960.5660,  Classification Accuracy: 99.22
Epoch: [22/150], Step [200/469], Loss: 1812.4404,  Classification Accuracy: 100.00
Epoch: [22/150], Step [300/469], Loss: 1900.2819,  Classification Accuracy: 100.00
Epoch: [22/150], Step [400/469], Loss: 1964.6115,  Classification Accuracy: 100.00
Epoch: [23/150], Step [100/469], Loss: 1950.7714,  Classification Accuracy: 100.00
Epoch: [23/150], Step [200/469], Loss: 1923.5865,  Classification Accuracy: 99.22
Epoch: [23/150], Step [300/469], Loss: 1892.5188,  Classification Accuracy: 100.00
Epoch: [23/150], Step [400/469], Loss: 1980.7964,  Classification Accuracy: 100.00
Epoch: [24/150], Step [100/469], Loss: 1922.1713,  Classification Accuracy: 100.00
Epoch: [24/150], Step [200/469], Loss: 1874.6218,  Classification Accuracy: 100.00
Epoch: [24/150], Step [300/469], Loss: 1814.1346,  Classification Accuracy: 100.00
Epoch: [24/150], Step [400/469], Loss: 1935.7899,  Classification Accuracy: 100.00
Epoch: [25/150], Step [100/469], Loss: 1908.1649,  Classification Accuracy: 99.22
Epoch: [25/150], Step [200/469], Loss: 1959.3180,  Classification Accuracy: 99.22
Epoch: [25/150], Step [300/469], Loss: 1879.1089,  Classification Accuracy: 100.00
Epoch: [25/150], Step [400/469], Loss: 1967.6104,  Classification Accuracy: 100.00
Epoch: [26/150], Step [100/469], Loss: 1882.7373,  Classification Accuracy: 99.22
Epoch: [26/150], Step [200/469], Loss: 1901.6351,  Classification Accuracy: 100.00
Epoch: [26/150], Step [300/469], Loss: 1946.2660,  Classification Accuracy: 100.00
Epoch: [26/150], Step [400/469], Loss: 1884.5361,  Classification Accuracy: 100.00
Epoch: [27/150], Step [100/469], Loss: 1917.4121,  Classification Accuracy: 99.22
Epoch: [27/150], Step [200/469], Loss: 2009.1127,  Classification Accuracy: 99.22
Epoch: [27/150], Step [300/469], Loss: 1968.7290,  Classification Accuracy: 100.00
Epoch: [27/150], Step [400/469], Loss: 1930.7035,  Classification Accuracy: 98.44
Epoch: [28/150], Step [100/469], Loss: 1912.1758,  Classification Accuracy: 100.00
Epoch: [28/150], Step [200/469], Loss: 1857.9799,  Classification Accuracy: 100.00
Epoch: [28/150], Step [300/469], Loss: 1987.2209,  Classification Accuracy: 99.22
Epoch: [28/150], Step [400/469], Loss: 1937.2483,  Classification Accuracy: 99.22
Epoch: [29/150], Step [100/469], Loss: 1917.1077,  Classification Accuracy: 99.22
Epoch: [29/150], Step [200/469], Loss: 1878.7369,  Classification Accuracy: 100.00
Epoch: [29/150], Step [300/469], Loss: 1910.7238,  Classification Accuracy: 100.00
Epoch: [29/150], Step [400/469], Loss: 1854.0494,  Classification Accuracy: 99.22
Epoch: [30/150], Step [100/469], Loss: 1920.7665,  Classification Accuracy: 100.00
Epoch: [30/150], Step [200/469], Loss: 1875.3771,  Classification Accuracy: 100.00
Epoch: [30/150], Step [300/469], Loss: 1902.1304,  Classification Accuracy: 99.22
Epoch: [30/150], Step [400/469], Loss: 1831.5153,  Classification Accuracy: 100.00
Epoch: [31/150], Step [100/469], Loss: 1896.7034,  Classification Accuracy: 100.00
Epoch: [31/150], Step [200/469], Loss: 1906.4425,  Classification Accuracy: 100.00
Epoch: [31/150], Step [300/469], Loss: 1872.2906,  Classification Accuracy: 100.00
Epoch: [31/150], Step [400/469], Loss: 1973.4293,  Classification Accuracy: 100.00
Epoch: [32/150], Step [100/469], Loss: 1897.4814,  Classification Accuracy: 99.22
Epoch: [32/150], Step [200/469], Loss: 1919.5835,  Classification Accuracy: 98.44
Epoch: [32/150], Step [300/469], Loss: 1922.2749,  Classification Accuracy: 100.00
Epoch: [32/150], Step [400/469], Loss: 1872.2836,  Classification Accuracy: 100.00
Epoch: [33/150], Step [100/469], Loss: 1998.5527,  Classification Accuracy: 100.00
Epoch: [33/150], Step [200/469], Loss: 1910.0447,  Classification Accuracy: 100.00
Epoch: [33/150], Step [300/469], Loss: 1868.6790,  Classification Accuracy: 97.66
Epoch: [33/150], Step [400/469], Loss: 1939.9967,  Classification Accuracy: 99.22
Epoch: [34/150], Step [100/469], Loss: 1855.7603,  Classification Accuracy: 100.00
Epoch: [34/150], Step [200/469], Loss: 1852.2767,  Classification Accuracy: 100.00
Epoch: [34/150], Step [300/469], Loss: 1881.8506,  Classification Accuracy: 100.00
Epoch: [34/150], Step [400/469], Loss: 1856.5779,  Classification Accuracy: 98.44
Epoch: [35/150], Step [100/469], Loss: 2068.9741,  Classification Accuracy: 100.00
Epoch: [35/150], Step [200/469], Loss: 1945.9834,  Classification Accuracy: 100.00
Epoch: [35/150], Step [300/469], Loss: 1986.1808,  Classification Accuracy: 100.00
Epoch: [35/150], Step [400/469], Loss: 1863.0637,  Classification Accuracy: 99.22
Epoch: [36/150], Step [100/469], Loss: 1917.8049,  Classification Accuracy: 100.00
Epoch: [36/150], Step [200/469], Loss: 1879.0653,  Classification Accuracy: 99.22
Epoch: [36/150], Step [300/469], Loss: 1871.2823,  Classification Accuracy: 98.44
Epoch: [36/150], Step [400/469], Loss: 1910.2201,  Classification Accuracy: 98.44
Epoch: [37/150], Step [100/469], Loss: 1906.2014,  Classification Accuracy: 100.00
Epoch: [37/150], Step [200/469], Loss: 1879.6100,  Classification Accuracy: 100.00
Epoch: [37/150], Step [300/469], Loss: 1897.0341,  Classification Accuracy: 100.00
Epoch: [37/150], Step [400/469], Loss: 1842.5061,  Classification Accuracy: 100.00
Epoch: [38/150], Step [100/469], Loss: 1950.9301,  Classification Accuracy: 100.00
Epoch: [38/150], Step [200/469], Loss: 1992.7184,  Classification Accuracy: 100.00
Epoch: [38/150], Step [300/469], Loss: 1933.0922,  Classification Accuracy: 100.00
Epoch: [38/150], Step [400/469], Loss: 1896.9062,  Classification Accuracy: 100.00
Epoch: [39/150], Step [100/469], Loss: 1786.4160,  Classification Accuracy: 100.00
Epoch: [39/150], Step [200/469], Loss: 1855.9811,  Classification Accuracy: 100.00
Epoch: [39/150], Step [300/469], Loss: 1844.5699,  Classification Accuracy: 100.00
Epoch: [39/150], Step [400/469], Loss: 1936.5168,  Classification Accuracy: 99.22
Epoch: [40/150], Step [100/469], Loss: 2006.4178,  Classification Accuracy: 100.00
Epoch: [40/150], Step [200/469], Loss: 1910.5673,  Classification Accuracy: 100.00
Epoch: [40/150], Step [300/469], Loss: 1951.9730,  Classification Accuracy: 100.00
Epoch: [40/150], Step [400/469], Loss: 1884.2635,  Classification Accuracy: 100.00
Epoch: [41/150], Step [100/469], Loss: 1835.0428,  Classification Accuracy: 100.00
Epoch: [41/150], Step [200/469], Loss: 1903.0656,  Classification Accuracy: 100.00
Epoch: [41/150], Step [300/469], Loss: 1958.0841,  Classification Accuracy: 100.00
Epoch: [41/150], Step [400/469], Loss: 1847.5717,  Classification Accuracy: 100.00
Epoch: [42/150], Step [100/469], Loss: 1895.7894,  Classification Accuracy: 99.22
Epoch: [42/150], Step [200/469], Loss: 1899.7822,  Classification Accuracy: 100.00
Epoch: [42/150], Step [300/469], Loss: 1984.1641,  Classification Accuracy: 100.00
Epoch: [42/150], Step [400/469], Loss: 1981.0953,  Classification Accuracy: 99.22
Epoch: [43/150], Step [100/469], Loss: 1866.3981,  Classification Accuracy: 100.00
Epoch: [43/150], Step [200/469], Loss: 1787.7993,  Classification Accuracy: 98.44
Epoch: [43/150], Step [300/469], Loss: 1885.8818,  Classification Accuracy: 100.00
Epoch: [43/150], Step [400/469], Loss: 1852.7052,  Classification Accuracy: 98.44
Epoch: [44/150], Step [100/469], Loss: 1893.5695,  Classification Accuracy: 100.00
Epoch: [44/150], Step [200/469], Loss: 1944.1375,  Classification Accuracy: 100.00
Epoch: [44/150], Step [300/469], Loss: 1845.1587,  Classification Accuracy: 100.00
Epoch: [44/150], Step [400/469], Loss: 1737.3766,  Classification Accuracy: 98.44
Epoch: [45/150], Step [100/469], Loss: 1827.9326,  Classification Accuracy: 100.00
Epoch: [45/150], Step [200/469], Loss: 1918.3595,  Classification Accuracy: 100.00
Epoch: [45/150], Step [300/469], Loss: 1831.9351,  Classification Accuracy: 99.22
Epoch: [45/150], Step [400/469], Loss: 1845.9579,  Classification Accuracy: 99.22
Epoch: [46/150], Step [100/469], Loss: 1957.7479,  Classification Accuracy: 99.22
Epoch: [46/150], Step [200/469], Loss: 1856.9938,  Classification Accuracy: 100.00
Epoch: [46/150], Step [300/469], Loss: 1997.9911,  Classification Accuracy: 99.22
Epoch: [46/150], Step [400/469], Loss: 1840.2460,  Classification Accuracy: 100.00
Epoch: [47/150], Step [100/469], Loss: 1776.2695,  Classification Accuracy: 100.00
Epoch: [47/150], Step [200/469], Loss: 1837.2362,  Classification Accuracy: 98.44
Epoch: [47/150], Step [300/469], Loss: 1925.0676,  Classification Accuracy: 100.00
Epoch: [47/150], Step [400/469], Loss: 1878.5698,  Classification Accuracy: 100.00
Epoch: [48/150], Step [100/469], Loss: 1908.0323,  Classification Accuracy: 100.00
Epoch: [48/150], Step [200/469], Loss: 1969.8497,  Classification Accuracy: 100.00
Epoch: [48/150], Step [300/469], Loss: 1870.3179,  Classification Accuracy: 99.22
Epoch: [48/150], Step [400/469], Loss: 1724.0312,  Classification Accuracy: 99.22
Epoch: [49/150], Step [100/469], Loss: 1874.6486,  Classification Accuracy: 100.00
Epoch: [49/150], Step [200/469], Loss: 1851.8186,  Classification Accuracy: 99.22
Epoch: [49/150], Step [300/469], Loss: 1790.7384,  Classification Accuracy: 100.00
Epoch: [49/150], Step [400/469], Loss: 1942.5088,  Classification Accuracy: 100.00
Epoch: [50/150], Step [100/469], Loss: 1931.4705,  Classification Accuracy: 100.00
Epoch: [50/150], Step [200/469], Loss: 1835.7710,  Classification Accuracy: 100.00
Epoch: [50/150], Step [300/469], Loss: 1944.9105,  Classification Accuracy: 99.22
Epoch: [50/150], Step [400/469], Loss: 1861.1625,  Classification Accuracy: 100.00
Epoch: [51/150], Step [100/469], Loss: 1871.5350,  Classification Accuracy: 99.22
Epoch: [51/150], Step [200/469], Loss: 1905.5022,  Classification Accuracy: 100.00
Epoch: [51/150], Step [300/469], Loss: 1925.0413,  Classification Accuracy: 100.00
Epoch: [51/150], Step [400/469], Loss: 1836.2749,  Classification Accuracy: 100.00
Epoch: [52/150], Step [100/469], Loss: 1870.9817,  Classification Accuracy: 99.22
Epoch: [52/150], Step [200/469], Loss: 1758.7025,  Classification Accuracy: 100.00
Epoch: [52/150], Step [300/469], Loss: 1838.8828,  Classification Accuracy: 100.00
Epoch: [52/150], Step [400/469], Loss: 1863.0499,  Classification Accuracy: 100.00
Epoch: [53/150], Step [100/469], Loss: 1951.4543,  Classification Accuracy: 100.00
Epoch: [53/150], Step [200/469], Loss: 1892.2450,  Classification Accuracy: 100.00
Epoch: [53/150], Step [300/469], Loss: 1956.7028,  Classification Accuracy: 99.22
Epoch: [53/150], Step [400/469], Loss: 1843.0984,  Classification Accuracy: 100.00
Epoch: [54/150], Step [100/469], Loss: 1775.8130,  Classification Accuracy: 100.00
Epoch: [54/150], Step [200/469], Loss: 1804.3153,  Classification Accuracy: 100.00
Epoch: [54/150], Step [300/469], Loss: 1839.5957,  Classification Accuracy: 100.00
Epoch: [54/150], Step [400/469], Loss: 1858.2477,  Classification Accuracy: 99.22
Epoch: [55/150], Step [100/469], Loss: 1878.6508,  Classification Accuracy: 100.00
Epoch: [55/150], Step [200/469], Loss: 1853.8330,  Classification Accuracy: 100.00
Epoch: [55/150], Step [300/469], Loss: 1855.2502,  Classification Accuracy: 100.00
Epoch: [55/150], Step [400/469], Loss: 1858.6862,  Classification Accuracy: 100.00
Epoch: [56/150], Step [100/469], Loss: 1923.3530,  Classification Accuracy: 100.00
Epoch: [56/150], Step [200/469], Loss: 1876.2306,  Classification Accuracy: 100.00
Epoch: [56/150], Step [300/469], Loss: 1884.4147,  Classification Accuracy: 100.00
Epoch: [56/150], Step [400/469], Loss: 1815.8881,  Classification Accuracy: 100.00
Epoch: [57/150], Step [100/469], Loss: 1882.3196,  Classification Accuracy: 100.00
Epoch: [57/150], Step [200/469], Loss: 1918.4679,  Classification Accuracy: 100.00
Epoch: [57/150], Step [300/469], Loss: 1935.5818,  Classification Accuracy: 100.00
Epoch: [57/150], Step [400/469], Loss: 1970.1846,  Classification Accuracy: 100.00
Epoch: [58/150], Step [100/469], Loss: 1793.0986,  Classification Accuracy: 100.00
Epoch: [58/150], Step [200/469], Loss: 1771.6819,  Classification Accuracy: 100.00
Epoch: [58/150], Step [300/469], Loss: 1857.0681,  Classification Accuracy: 99.22
Epoch: [58/150], Step [400/469], Loss: 1863.6321,  Classification Accuracy: 99.22
Epoch: [59/150], Step [100/469], Loss: 1989.7971,  Classification Accuracy: 99.22
Epoch: [59/150], Step [200/469], Loss: 1894.3070,  Classification Accuracy: 100.00
Epoch: [59/150], Step [300/469], Loss: 1891.0503,  Classification Accuracy: 100.00
Epoch: [59/150], Step [400/469], Loss: 1908.6370,  Classification Accuracy: 98.44
Epoch: [60/150], Step [100/469], Loss: 1933.6816,  Classification Accuracy: 100.00
Epoch: [60/150], Step [200/469], Loss: 1821.9650,  Classification Accuracy: 100.00
Epoch: [60/150], Step [300/469], Loss: 1984.9596,  Classification Accuracy: 98.44
Epoch: [60/150], Step [400/469], Loss: 1803.3127,  Classification Accuracy: 99.22
Epoch: [61/150], Step [100/469], Loss: 1797.0919,  Classification Accuracy: 99.22
Epoch: [61/150], Step [200/469], Loss: 1933.2037,  Classification Accuracy: 100.00
Epoch: [61/150], Step [300/469], Loss: 1856.9003,  Classification Accuracy: 99.22
Epoch: [61/150], Step [400/469], Loss: 1928.5266,  Classification Accuracy: 100.00
Epoch: [62/150], Step [100/469], Loss: 1795.0747,  Classification Accuracy: 99.22
Epoch: [62/150], Step [200/469], Loss: 1854.9852,  Classification Accuracy: 99.22
Epoch: [62/150], Step [300/469], Loss: 1888.5936,  Classification Accuracy: 99.22
Epoch: [62/150], Step [400/469], Loss: 1810.7140,  Classification Accuracy: 100.00
Epoch: [63/150], Step [100/469], Loss: 1875.2207,  Classification Accuracy: 100.00
Epoch: [63/150], Step [200/469], Loss: 1927.9476,  Classification Accuracy: 98.44
Epoch: [63/150], Step [300/469], Loss: 1855.1877,  Classification Accuracy: 99.22
Epoch: [63/150], Step [400/469], Loss: 1835.3431,  Classification Accuracy: 100.00
Epoch: [64/150], Step [100/469], Loss: 1875.1750,  Classification Accuracy: 100.00
Epoch: [64/150], Step [200/469], Loss: 1827.5321,  Classification Accuracy: 100.00
Epoch: [64/150], Step [300/469], Loss: 1911.4484,  Classification Accuracy: 100.00
Epoch: [64/150], Step [400/469], Loss: 1801.2778,  Classification Accuracy: 100.00
Epoch: [65/150], Step [100/469], Loss: 1792.8365,  Classification Accuracy: 100.00
Epoch: [65/150], Step [200/469], Loss: 1881.0939,  Classification Accuracy: 99.22
Epoch: [65/150], Step [300/469], Loss: 1781.5198,  Classification Accuracy: 99.22
Epoch: [65/150], Step [400/469], Loss: 1988.4474,  Classification Accuracy: 99.22
Epoch: [66/150], Step [100/469], Loss: 1791.5491,  Classification Accuracy: 99.22
Epoch: [66/150], Step [200/469], Loss: 1886.0651,  Classification Accuracy: 100.00
Epoch: [66/150], Step [300/469], Loss: 1768.6237,  Classification Accuracy: 100.00
Epoch: [66/150], Step [400/469], Loss: 1908.3616,  Classification Accuracy: 100.00
Epoch: [67/150], Step [100/469], Loss: 1814.4935,  Classification Accuracy: 100.00
Epoch: [67/150], Step [200/469], Loss: 1803.3384,  Classification Accuracy: 100.00
Epoch: [67/150], Step [300/469], Loss: 1821.9061,  Classification Accuracy: 100.00
Epoch: [67/150], Step [400/469], Loss: 1813.4161,  Classification Accuracy: 99.22
Epoch: [68/150], Step [100/469], Loss: 1753.3782,  Classification Accuracy: 100.00
Epoch: [68/150], Step [200/469], Loss: 1795.2336,  Classification Accuracy: 100.00
Epoch: [68/150], Step [300/469], Loss: 1869.9695,  Classification Accuracy: 100.00
Epoch: [68/150], Step [400/469], Loss: 1872.5845,  Classification Accuracy: 100.00
Epoch: [69/150], Step [100/469], Loss: 1846.5042,  Classification Accuracy: 100.00
Epoch: [69/150], Step [200/469], Loss: 1902.2689,  Classification Accuracy: 99.22
Epoch: [69/150], Step [300/469], Loss: 1855.8070,  Classification Accuracy: 100.00
Epoch: [69/150], Step [400/469], Loss: 1903.1793,  Classification Accuracy: 100.00
Epoch: [70/150], Step [100/469], Loss: 1952.7635,  Classification Accuracy: 100.00
Epoch: [70/150], Step [200/469], Loss: 1961.4796,  Classification Accuracy: 100.00
Epoch: [70/150], Step [300/469], Loss: 1765.2531,  Classification Accuracy: 99.22
Epoch: [70/150], Step [400/469], Loss: 1835.9778,  Classification Accuracy: 100.00
Epoch: [71/150], Step [100/469], Loss: 1913.9324,  Classification Accuracy: 100.00
Epoch: [71/150], Step [200/469], Loss: 1926.9545,  Classification Accuracy: 99.22
Epoch: [71/150], Step [300/469], Loss: 1707.7347,  Classification Accuracy: 100.00
Epoch: [71/150], Step [400/469], Loss: 1880.1351,  Classification Accuracy: 99.22
Epoch: [72/150], Step [100/469], Loss: 1947.0389,  Classification Accuracy: 99.22
Epoch: [72/150], Step [200/469], Loss: 1865.7671,  Classification Accuracy: 100.00
Epoch: [72/150], Step [300/469], Loss: 1784.3702,  Classification Accuracy: 99.22
Epoch: [72/150], Step [400/469], Loss: 1789.1741,  Classification Accuracy: 100.00
Epoch: [73/150], Step [100/469], Loss: 1876.3560,  Classification Accuracy: 100.00
Epoch: [73/150], Step [200/469], Loss: 1810.4626,  Classification Accuracy: 100.00
Epoch: [73/150], Step [300/469], Loss: 1929.8407,  Classification Accuracy: 100.00
Epoch: [73/150], Step [400/469], Loss: 1905.6622,  Classification Accuracy: 100.00
Epoch: [74/150], Step [100/469], Loss: 1803.4353,  Classification Accuracy: 100.00
Epoch: [74/150], Step [200/469], Loss: 1808.8873,  Classification Accuracy: 100.00
Epoch: [74/150], Step [300/469], Loss: 1900.2380,  Classification Accuracy: 100.00
Epoch: [74/150], Step [400/469], Loss: 1845.7388,  Classification Accuracy: 100.00
Epoch: [75/150], Step [100/469], Loss: 1729.9935,  Classification Accuracy: 100.00
Epoch: [75/150], Step [200/469], Loss: 1771.9330,  Classification Accuracy: 99.22
Epoch: [75/150], Step [300/469], Loss: 1946.8467,  Classification Accuracy: 100.00
Epoch: [75/150], Step [400/469], Loss: 1882.7623,  Classification Accuracy: 100.00
Epoch: [76/150], Step [100/469], Loss: 1843.5934,  Classification Accuracy: 100.00
Epoch: [76/150], Step [200/469], Loss: 1934.3185,  Classification Accuracy: 100.00
Epoch: [76/150], Step [300/469], Loss: 1860.7434,  Classification Accuracy: 100.00
Epoch: [76/150], Step [400/469], Loss: 1758.9202,  Classification Accuracy: 100.00
Epoch: [77/150], Step [100/469], Loss: 1840.7257,  Classification Accuracy: 100.00
Epoch: [77/150], Step [200/469], Loss: 1899.1472,  Classification Accuracy: 100.00
Epoch: [77/150], Step [300/469], Loss: 1838.2793,  Classification Accuracy: 99.22
Epoch: [77/150], Step [400/469], Loss: 1784.0427,  Classification Accuracy: 99.22
Epoch: [78/150], Step [100/469], Loss: 1914.4379,  Classification Accuracy: 100.00
Epoch: [78/150], Step [200/469], Loss: 1830.8458,  Classification Accuracy: 100.00
Epoch: [78/150], Step [300/469], Loss: 1854.7677,  Classification Accuracy: 100.00
Epoch: [78/150], Step [400/469], Loss: 1848.7616,  Classification Accuracy: 99.22
Epoch: [79/150], Step [100/469], Loss: 1858.6505,  Classification Accuracy: 100.00
Epoch: [79/150], Step [200/469], Loss: 1792.5073,  Classification Accuracy: 99.22
Epoch: [79/150], Step [300/469], Loss: 1867.8130,  Classification Accuracy: 100.00
Epoch: [79/150], Step [400/469], Loss: 1831.3656,  Classification Accuracy: 99.22
Epoch: [80/150], Step [100/469], Loss: 1810.9283,  Classification Accuracy: 99.22
Epoch: [80/150], Step [200/469], Loss: 1859.1074,  Classification Accuracy: 99.22
Epoch: [80/150], Step [300/469], Loss: 1896.3617,  Classification Accuracy: 98.44
Epoch: [80/150], Step [400/469], Loss: 1935.2069,  Classification Accuracy: 99.22
Epoch: [81/150], Step [100/469], Loss: 1814.2103,  Classification Accuracy: 100.00
Epoch: [81/150], Step [200/469], Loss: 1826.0977,  Classification Accuracy: 99.22
Epoch: [81/150], Step [300/469], Loss: 1733.0586,  Classification Accuracy: 99.22
Epoch: [81/150], Step [400/469], Loss: 1782.4156,  Classification Accuracy: 99.22
Epoch: [82/150], Step [100/469], Loss: 1817.2670,  Classification Accuracy: 99.22
Epoch: [82/150], Step [200/469], Loss: 1846.9839,  Classification Accuracy: 99.22
Epoch: [82/150], Step [300/469], Loss: 1850.9543,  Classification Accuracy: 100.00
Epoch: [82/150], Step [400/469], Loss: 1731.4586,  Classification Accuracy: 99.22
Epoch: [83/150], Step [100/469], Loss: 1935.4628,  Classification Accuracy: 99.22
Epoch: [83/150], Step [200/469], Loss: 1895.2883,  Classification Accuracy: 100.00
Epoch: [83/150], Step [300/469], Loss: 1799.8871,  Classification Accuracy: 99.22
Epoch: [83/150], Step [400/469], Loss: 1923.6833,  Classification Accuracy: 98.44
Epoch: [84/150], Step [100/469], Loss: 1867.1593,  Classification Accuracy: 100.00
Epoch: [84/150], Step [200/469], Loss: 1764.7039,  Classification Accuracy: 100.00
Epoch: [84/150], Step [300/469], Loss: 1781.7880,  Classification Accuracy: 100.00
Epoch: [84/150], Step [400/469], Loss: 1867.9955,  Classification Accuracy: 100.00
Epoch: [85/150], Step [100/469], Loss: 1877.2344,  Classification Accuracy: 99.22
Epoch: [85/150], Step [200/469], Loss: 1851.0575,  Classification Accuracy: 100.00
Epoch: [85/150], Step [300/469], Loss: 1743.0508,  Classification Accuracy: 100.00
Epoch: [85/150], Step [400/469], Loss: 1857.1046,  Classification Accuracy: 100.00
Epoch: [86/150], Step [100/469], Loss: 1805.4679,  Classification Accuracy: 99.22
Epoch: [86/150], Step [200/469], Loss: 1900.4974,  Classification Accuracy: 100.00
Epoch: [86/150], Step [300/469], Loss: 1803.8123,  Classification Accuracy: 99.22
Epoch: [86/150], Step [400/469], Loss: 1878.5040,  Classification Accuracy: 100.00
Epoch: [87/150], Step [100/469], Loss: 1827.3041,  Classification Accuracy: 100.00
Epoch: [87/150], Step [200/469], Loss: 1947.0300,  Classification Accuracy: 100.00
Epoch: [87/150], Step [300/469], Loss: 1806.1320,  Classification Accuracy: 100.00
Epoch: [87/150], Step [400/469], Loss: 1769.9740,  Classification Accuracy: 100.00
Epoch: [88/150], Step [100/469], Loss: 1816.4608,  Classification Accuracy: 100.00
Epoch: [88/150], Step [200/469], Loss: 1855.6823,  Classification Accuracy: 100.00
Epoch: [88/150], Step [300/469], Loss: 1850.8707,  Classification Accuracy: 99.22
Epoch: [88/150], Step [400/469], Loss: 1897.0452,  Classification Accuracy: 100.00
Epoch: [89/150], Step [100/469], Loss: 1796.9873,  Classification Accuracy: 100.00
Epoch: [89/150], Step [200/469], Loss: 1834.8877,  Classification Accuracy: 100.00
Epoch: [89/150], Step [300/469], Loss: 1751.5880,  Classification Accuracy: 100.00
Epoch: [89/150], Step [400/469], Loss: 1846.7198,  Classification Accuracy: 100.00
Epoch: [90/150], Step [100/469], Loss: 1812.2257,  Classification Accuracy: 100.00
Epoch: [90/150], Step [200/469], Loss: 1862.4277,  Classification Accuracy: 98.44
Epoch: [90/150], Step [300/469], Loss: 1987.5479,  Classification Accuracy: 100.00
Epoch: [90/150], Step [400/469], Loss: 1866.4810,  Classification Accuracy: 99.22
Epoch: [91/150], Step [100/469], Loss: 1866.3555,  Classification Accuracy: 100.00
Epoch: [91/150], Step [200/469], Loss: 1853.1044,  Classification Accuracy: 100.00
Epoch: [91/150], Step [300/469], Loss: 1896.3617,  Classification Accuracy: 98.44
Epoch: [91/150], Step [400/469], Loss: 1810.5642,  Classification Accuracy: 100.00
Epoch: [92/150], Step [100/469], Loss: 1863.6078,  Classification Accuracy: 100.00
Epoch: [92/150], Step [200/469], Loss: 1749.0502,  Classification Accuracy: 99.22
Epoch: [92/150], Step [300/469], Loss: 1887.1199,  Classification Accuracy: 98.44
Epoch: [92/150], Step [400/469], Loss: 1722.5067,  Classification Accuracy: 100.00
Epoch: [93/150], Step [100/469], Loss: 1890.7817,  Classification Accuracy: 100.00
Epoch: [93/150], Step [200/469], Loss: 1829.2925,  Classification Accuracy: 100.00
Epoch: [93/150], Step [300/469], Loss: 1773.0035,  Classification Accuracy: 99.22
Epoch: [93/150], Step [400/469], Loss: 1887.2904,  Classification Accuracy: 98.44
Epoch: [94/150], Step [100/469], Loss: 1870.5812,  Classification Accuracy: 100.00
Epoch: [94/150], Step [200/469], Loss: 1898.0203,  Classification Accuracy: 100.00
Epoch: [94/150], Step [300/469], Loss: 1745.9713,  Classification Accuracy: 100.00
Epoch: [94/150], Step [400/469], Loss: 1857.8257,  Classification Accuracy: 100.00
Epoch: [95/150], Step [100/469], Loss: 1816.0143,  Classification Accuracy: 100.00
Epoch: [95/150], Step [200/469], Loss: 1841.6062,  Classification Accuracy: 100.00
Epoch: [95/150], Step [300/469], Loss: 1871.7627,  Classification Accuracy: 100.00
Epoch: [95/150], Step [400/469], Loss: 1828.8960,  Classification Accuracy: 100.00
Epoch: [96/150], Step [100/469], Loss: 1833.4326,  Classification Accuracy: 100.00
Epoch: [96/150], Step [200/469], Loss: 1799.9554,  Classification Accuracy: 100.00
Epoch: [96/150], Step [300/469], Loss: 1821.9421,  Classification Accuracy: 98.44
Epoch: [96/150], Step [400/469], Loss: 1851.3595,  Classification Accuracy: 100.00
Epoch: [97/150], Step [100/469], Loss: 1857.6272,  Classification Accuracy: 99.22
Epoch: [97/150], Step [200/469], Loss: 1805.0372,  Classification Accuracy: 100.00
Epoch: [97/150], Step [300/469], Loss: 1805.8329,  Classification Accuracy: 100.00
Epoch: [97/150], Step [400/469], Loss: 1789.9355,  Classification Accuracy: 100.00
Epoch: [98/150], Step [100/469], Loss: 1915.6592,  Classification Accuracy: 100.00
Epoch: [98/150], Step [200/469], Loss: 1897.3997,  Classification Accuracy: 100.00
Epoch: [98/150], Step [300/469], Loss: 1903.2100,  Classification Accuracy: 99.22
Epoch: [98/150], Step [400/469], Loss: 1815.8328,  Classification Accuracy: 100.00
Epoch: [99/150], Step [100/469], Loss: 1871.1920,  Classification Accuracy: 100.00
Epoch: [99/150], Step [200/469], Loss: 1843.6262,  Classification Accuracy: 100.00
Epoch: [99/150], Step [300/469], Loss: 1825.5111,  Classification Accuracy: 100.00
Epoch: [99/150], Step [400/469], Loss: 1816.9615,  Classification Accuracy: 100.00
Epoch: [100/150], Step [100/469], Loss: 1772.2905,  Classification Accuracy: 100.00
Epoch: [100/150], Step [200/469], Loss: 1909.9821,  Classification Accuracy: 99.22
Epoch: [100/150], Step [300/469], Loss: 1797.3517,  Classification Accuracy: 100.00
Epoch: [100/150], Step [400/469], Loss: 1829.5968,  Classification Accuracy: 99.22
Epoch: [101/150], Step [100/469], Loss: 1831.8735,  Classification Accuracy: 100.00
Epoch: [101/150], Step [200/469], Loss: 1847.6360,  Classification Accuracy: 100.00
Epoch: [101/150], Step [300/469], Loss: 1752.2786,  Classification Accuracy: 99.22
Epoch: [101/150], Step [400/469], Loss: 1820.6262,  Classification Accuracy: 100.00
Epoch: [102/150], Step [100/469], Loss: 1921.1711,  Classification Accuracy: 100.00
Epoch: [102/150], Step [200/469], Loss: 1870.1681,  Classification Accuracy: 100.00
Epoch: [102/150], Step [300/469], Loss: 1836.7845,  Classification Accuracy: 100.00
Epoch: [102/150], Step [400/469], Loss: 1824.8474,  Classification Accuracy: 100.00
Epoch: [103/150], Step [100/469], Loss: 1876.1394,  Classification Accuracy: 100.00
Epoch: [103/150], Step [200/469], Loss: 1751.2281,  Classification Accuracy: 99.22
Epoch: [103/150], Step [300/469], Loss: 1821.5009,  Classification Accuracy: 100.00
Epoch: [103/150], Step [400/469], Loss: 1860.4375,  Classification Accuracy: 100.00
Epoch: [104/150], Step [100/469], Loss: 1796.3917,  Classification Accuracy: 100.00
Epoch: [104/150], Step [200/469], Loss: 1801.9490,  Classification Accuracy: 100.00
Epoch: [104/150], Step [300/469], Loss: 1855.0742,  Classification Accuracy: 100.00
Epoch: [104/150], Step [400/469], Loss: 1828.0735,  Classification Accuracy: 100.00
Epoch: [105/150], Step [100/469], Loss: 1824.6631,  Classification Accuracy: 100.00
Epoch: [105/150], Step [200/469], Loss: 1790.1083,  Classification Accuracy: 100.00
Epoch: [105/150], Step [300/469], Loss: 1800.1395,  Classification Accuracy: 99.22
Epoch: [105/150], Step [400/469], Loss: 1771.1390,  Classification Accuracy: 100.00
Epoch: [106/150], Step [100/469], Loss: 1920.4576,  Classification Accuracy: 100.00
Epoch: [106/150], Step [200/469], Loss: 1849.8755,  Classification Accuracy: 100.00
Epoch: [106/150], Step [300/469], Loss: 1790.5726,  Classification Accuracy: 100.00
Epoch: [106/150], Step [400/469], Loss: 1774.1403,  Classification Accuracy: 100.00
Epoch: [107/150], Step [100/469], Loss: 1821.0917,  Classification Accuracy: 100.00
Epoch: [107/150], Step [200/469], Loss: 1823.5868,  Classification Accuracy: 97.66
Epoch: [107/150], Step [300/469], Loss: 1732.9980,  Classification Accuracy: 100.00
Epoch: [107/150], Step [400/469], Loss: 1836.7302,  Classification Accuracy: 100.00
Epoch: [108/150], Step [100/469], Loss: 1797.1146,  Classification Accuracy: 99.22
Epoch: [108/150], Step [200/469], Loss: 1824.3710,  Classification Accuracy: 100.00
Epoch: [108/150], Step [300/469], Loss: 1735.6399,  Classification Accuracy: 99.22
Epoch: [108/150], Step [400/469], Loss: 1900.0286,  Classification Accuracy: 98.44
Epoch: [109/150], Step [100/469], Loss: 1741.4084,  Classification Accuracy: 99.22
Epoch: [109/150], Step [200/469], Loss: 1817.4785,  Classification Accuracy: 99.22
Epoch: [109/150], Step [300/469], Loss: 1840.7397,  Classification Accuracy: 99.22
Epoch: [109/150], Step [400/469], Loss: 1801.1321,  Classification Accuracy: 100.00
Epoch: [110/150], Step [100/469], Loss: 1807.9373,  Classification Accuracy: 100.00
Epoch: [110/150], Step [200/469], Loss: 1860.1726,  Classification Accuracy: 100.00
Epoch: [110/150], Step [300/469], Loss: 1814.2856,  Classification Accuracy: 100.00
Epoch: [110/150], Step [400/469], Loss: 1891.7052,  Classification Accuracy: 100.00
Epoch: [111/150], Step [100/469], Loss: 1851.3729,  Classification Accuracy: 99.22
Epoch: [111/150], Step [200/469], Loss: 1797.3430,  Classification Accuracy: 100.00
Epoch: [111/150], Step [300/469], Loss: 1870.3982,  Classification Accuracy: 100.00
Epoch: [111/150], Step [400/469], Loss: 1765.7917,  Classification Accuracy: 100.00
Epoch: [112/150], Step [100/469], Loss: 1837.1694,  Classification Accuracy: 100.00
Epoch: [112/150], Step [200/469], Loss: 1891.3579,  Classification Accuracy: 100.00
Epoch: [112/150], Step [300/469], Loss: 1816.1906,  Classification Accuracy: 100.00
Epoch: [112/150], Step [400/469], Loss: 1826.1752,  Classification Accuracy: 100.00
Epoch: [113/150], Step [100/469], Loss: 1839.7794,  Classification Accuracy: 100.00
Epoch: [113/150], Step [200/469], Loss: 1863.7511,  Classification Accuracy: 99.22
Epoch: [113/150], Step [300/469], Loss: 1856.4288,  Classification Accuracy: 99.22
Epoch: [113/150], Step [400/469], Loss: 1742.8175,  Classification Accuracy: 99.22
Epoch: [114/150], Step [100/469], Loss: 1887.0502,  Classification Accuracy: 100.00
Epoch: [114/150], Step [200/469], Loss: 1833.6553,  Classification Accuracy: 100.00
Epoch: [114/150], Step [300/469], Loss: 1884.9451,  Classification Accuracy: 100.00
Epoch: [114/150], Step [400/469], Loss: 1779.4095,  Classification Accuracy: 100.00
Epoch: [115/150], Step [100/469], Loss: 1880.4170,  Classification Accuracy: 100.00
Epoch: [115/150], Step [200/469], Loss: 1752.8000,  Classification Accuracy: 100.00
Epoch: [115/150], Step [300/469], Loss: 1812.5480,  Classification Accuracy: 100.00
Epoch: [115/150], Step [400/469], Loss: 1865.6002,  Classification Accuracy: 100.00
Epoch: [116/150], Step [100/469], Loss: 1803.9786,  Classification Accuracy: 100.00
Epoch: [116/150], Step [200/469], Loss: 1887.8411,  Classification Accuracy: 100.00
Epoch: [116/150], Step [300/469], Loss: 1844.6007,  Classification Accuracy: 99.22
Epoch: [116/150], Step [400/469], Loss: 1802.0851,  Classification Accuracy: 100.00
Epoch: [117/150], Step [100/469], Loss: 1780.3391,  Classification Accuracy: 99.22
Epoch: [117/150], Step [200/469], Loss: 1866.5422,  Classification Accuracy: 99.22
Epoch: [117/150], Step [300/469], Loss: 1846.4586,  Classification Accuracy: 100.00
Epoch: [117/150], Step [400/469], Loss: 1774.8588,  Classification Accuracy: 100.00
Epoch: [118/150], Step [100/469], Loss: 1898.3456,  Classification Accuracy: 99.22
Epoch: [118/150], Step [200/469], Loss: 1805.0590,  Classification Accuracy: 100.00
Epoch: [118/150], Step [300/469], Loss: 1905.7102,  Classification Accuracy: 99.22
Epoch: [118/150], Step [400/469], Loss: 1857.6251,  Classification Accuracy: 100.00
Epoch: [119/150], Step [100/469], Loss: 1809.9534,  Classification Accuracy: 100.00
Epoch: [119/150], Step [200/469], Loss: 1766.7034,  Classification Accuracy: 98.44
Epoch: [119/150], Step [300/469], Loss: 1765.5767,  Classification Accuracy: 100.00
Epoch: [119/150], Step [400/469], Loss: 1787.8469,  Classification Accuracy: 100.00
Epoch: [120/150], Step [100/469], Loss: 1773.0160,  Classification Accuracy: 100.00
Epoch: [120/150], Step [200/469], Loss: 1704.1240,  Classification Accuracy: 100.00
Epoch: [120/150], Step [300/469], Loss: 1795.6766,  Classification Accuracy: 99.22
Epoch: [120/150], Step [400/469], Loss: 1767.1779,  Classification Accuracy: 100.00
Epoch: [121/150], Step [100/469], Loss: 1784.7572,  Classification Accuracy: 100.00
Epoch: [121/150], Step [200/469], Loss: 1807.3147,  Classification Accuracy: 100.00
Epoch: [121/150], Step [300/469], Loss: 1794.0385,  Classification Accuracy: 100.00
Epoch: [121/150], Step [400/469], Loss: 1924.4858,  Classification Accuracy: 100.00
Epoch: [122/150], Step [100/469], Loss: 1764.3915,  Classification Accuracy: 99.22
Epoch: [122/150], Step [200/469], Loss: 1802.2562,  Classification Accuracy: 98.44
Epoch: [122/150], Step [300/469], Loss: 1863.5238,  Classification Accuracy: 99.22
Epoch: [122/150], Step [400/469], Loss: 1825.8701,  Classification Accuracy: 98.44
Epoch: [123/150], Step [100/469], Loss: 1857.6747,  Classification Accuracy: 100.00
Epoch: [123/150], Step [200/469], Loss: 1731.1208,  Classification Accuracy: 100.00
Epoch: [123/150], Step [300/469], Loss: 1710.9818,  Classification Accuracy: 100.00
Epoch: [123/150], Step [400/469], Loss: 1834.6854,  Classification Accuracy: 100.00
Epoch: [124/150], Step [100/469], Loss: 1831.1201,  Classification Accuracy: 100.00
Epoch: [124/150], Step [200/469], Loss: 1859.8495,  Classification Accuracy: 99.22
Epoch: [124/150], Step [300/469], Loss: 1904.9994,  Classification Accuracy: 100.00
Epoch: [124/150], Step [400/469], Loss: 1834.9125,  Classification Accuracy: 100.00
Epoch: [125/150], Step [100/469], Loss: 1860.7755,  Classification Accuracy: 99.22
Epoch: [125/150], Step [200/469], Loss: 1817.5436,  Classification Accuracy: 100.00
Epoch: [125/150], Step [300/469], Loss: 1820.0007,  Classification Accuracy: 100.00
Epoch: [125/150], Step [400/469], Loss: 1784.3702,  Classification Accuracy: 99.22
Epoch: [126/150], Step [100/469], Loss: 1765.3434,  Classification Accuracy: 100.00
Epoch: [126/150], Step [200/469], Loss: 1881.7529,  Classification Accuracy: 100.00
Epoch: [126/150], Step [300/469], Loss: 1824.6824,  Classification Accuracy: 100.00
Epoch: [126/150], Step [400/469], Loss: 1781.1827,  Classification Accuracy: 100.00
Epoch: [127/150], Step [100/469], Loss: 1764.3625,  Classification Accuracy: 100.00
Epoch: [127/150], Step [200/469], Loss: 1839.5624,  Classification Accuracy: 99.22
Epoch: [127/150], Step [300/469], Loss: 1811.8418,  Classification Accuracy: 100.00
Epoch: [127/150], Step [400/469], Loss: 1931.2745,  Classification Accuracy: 100.00
Epoch: [128/150], Step [100/469], Loss: 1860.2378,  Classification Accuracy: 100.00
Epoch: [128/150], Step [200/469], Loss: 1823.2059,  Classification Accuracy: 100.00
Epoch: [128/150], Step [300/469], Loss: 1890.8729,  Classification Accuracy: 99.22
Epoch: [128/150], Step [400/469], Loss: 1814.1677,  Classification Accuracy: 99.22
Epoch: [129/150], Step [100/469], Loss: 1825.0813,  Classification Accuracy: 99.22
Epoch: [129/150], Step [200/469], Loss: 1837.8030,  Classification Accuracy: 99.22
Epoch: [129/150], Step [300/469], Loss: 1830.0742,  Classification Accuracy: 100.00
Epoch: [129/150], Step [400/469], Loss: 1853.7496,  Classification Accuracy: 100.00
Epoch: [130/150], Step [100/469], Loss: 1861.6566,  Classification Accuracy: 100.00
Epoch: [130/150], Step [200/469], Loss: 1861.4379,  Classification Accuracy: 100.00
Epoch: [130/150], Step [300/469], Loss: 1892.1958,  Classification Accuracy: 100.00
Epoch: [130/150], Step [400/469], Loss: 1821.3829,  Classification Accuracy: 100.00
Epoch: [131/150], Step [100/469], Loss: 1717.1439,  Classification Accuracy: 100.00
Epoch: [131/150], Step [200/469], Loss: 1750.1067,  Classification Accuracy: 98.44
Epoch: [131/150], Step [300/469], Loss: 1751.0216,  Classification Accuracy: 99.22
Epoch: [131/150], Step [400/469], Loss: 1878.6669,  Classification Accuracy: 99.22
Epoch: [132/150], Step [100/469], Loss: 1730.6493,  Classification Accuracy: 100.00
Epoch: [132/150], Step [200/469], Loss: 1801.5596,  Classification Accuracy: 100.00
Epoch: [132/150], Step [300/469], Loss: 1894.4811,  Classification Accuracy: 100.00
Epoch: [132/150], Step [400/469], Loss: 1765.2749,  Classification Accuracy: 99.22
Epoch: [133/150], Step [100/469], Loss: 1729.3032,  Classification Accuracy: 99.22
Epoch: [133/150], Step [200/469], Loss: 1911.9489,  Classification Accuracy: 100.00
Epoch: [133/150], Step [300/469], Loss: 1758.7947,  Classification Accuracy: 99.22
Epoch: [133/150], Step [400/469], Loss: 1790.3368,  Classification Accuracy: 100.00
Epoch: [134/150], Step [100/469], Loss: 1779.4929,  Classification Accuracy: 100.00
Epoch: [134/150], Step [200/469], Loss: 1866.1333,  Classification Accuracy: 100.00
Epoch: [134/150], Step [300/469], Loss: 1876.7146,  Classification Accuracy: 100.00
Epoch: [134/150], Step [400/469], Loss: 1764.1630,  Classification Accuracy: 100.00
Epoch: [135/150], Step [100/469], Loss: 1779.4891,  Classification Accuracy: 99.22
Epoch: [135/150], Step [200/469], Loss: 1850.7330,  Classification Accuracy: 100.00
Epoch: [135/150], Step [300/469], Loss: 1773.3253,  Classification Accuracy: 99.22
Epoch: [135/150], Step [400/469], Loss: 1785.5599,  Classification Accuracy: 99.22
Epoch: [136/150], Step [100/469], Loss: 1864.6819,  Classification Accuracy: 100.00
Epoch: [136/150], Step [200/469], Loss: 1823.4044,  Classification Accuracy: 100.00
Epoch: [136/150], Step [300/469], Loss: 1837.8159,  Classification Accuracy: 100.00
Epoch: [136/150], Step [400/469], Loss: 1803.1932,  Classification Accuracy: 99.22
Epoch: [137/150], Step [100/469], Loss: 1846.9567,  Classification Accuracy: 99.22
Epoch: [137/150], Step [200/469], Loss: 1784.1880,  Classification Accuracy: 98.44
Epoch: [137/150], Step [300/469], Loss: 1807.7869,  Classification Accuracy: 100.00
Epoch: [137/150], Step [400/469], Loss: 1821.1044,  Classification Accuracy: 100.00
Epoch: [138/150], Step [100/469], Loss: 1867.7065,  Classification Accuracy: 99.22
Epoch: [138/150], Step [200/469], Loss: 1866.4939,  Classification Accuracy: 100.00
Epoch: [138/150], Step [300/469], Loss: 1908.9091,  Classification Accuracy: 100.00
Epoch: [138/150], Step [400/469], Loss: 1786.7767,  Classification Accuracy: 99.22
Epoch: [139/150], Step [100/469], Loss: 1808.9244,  Classification Accuracy: 100.00
Epoch: [139/150], Step [200/469], Loss: 1739.6755,  Classification Accuracy: 100.00
Epoch: [139/150], Step [300/469], Loss: 1886.6792,  Classification Accuracy: 99.22
Epoch: [139/150], Step [400/469], Loss: 1751.2976,  Classification Accuracy: 100.00
Epoch: [140/150], Step [100/469], Loss: 1909.4567,  Classification Accuracy: 99.22
Epoch: [140/150], Step [200/469], Loss: 1824.6956,  Classification Accuracy: 100.00
Epoch: [140/150], Step [300/469], Loss: 1871.2004,  Classification Accuracy: 100.00
Epoch: [140/150], Step [400/469], Loss: 1810.9536,  Classification Accuracy: 99.22
Epoch: [141/150], Step [100/469], Loss: 1825.1625,  Classification Accuracy: 100.00
Epoch: [141/150], Step [200/469], Loss: 1817.5641,  Classification Accuracy: 100.00
Epoch: [141/150], Step [300/469], Loss: 1850.8706,  Classification Accuracy: 99.22
Epoch: [141/150], Step [400/469], Loss: 1802.4296,  Classification Accuracy: 99.22
Epoch: [142/150], Step [100/469], Loss: 1881.5013,  Classification Accuracy: 100.00
Epoch: [142/150], Step [200/469], Loss: 1817.8671,  Classification Accuracy: 100.00
Epoch: [142/150], Step [300/469], Loss: 1826.6138,  Classification Accuracy: 100.00
Epoch: [142/150], Step [400/469], Loss: 1863.5035,  Classification Accuracy: 100.00
Epoch: [143/150], Step [100/469], Loss: 1860.7120,  Classification Accuracy: 99.22
Epoch: [143/150], Step [200/469], Loss: 1778.2640,  Classification Accuracy: 100.00
Epoch: [143/150], Step [300/469], Loss: 1779.4817,  Classification Accuracy: 100.00
Epoch: [143/150], Step [400/469], Loss: 1749.8502,  Classification Accuracy: 100.00
Epoch: [144/150], Step [100/469], Loss: 1923.7084,  Classification Accuracy: 100.00
Epoch: [144/150], Step [200/469], Loss: 1734.4733,  Classification Accuracy: 99.22
Epoch: [144/150], Step [300/469], Loss: 1802.9790,  Classification Accuracy: 99.22
Epoch: [144/150], Step [400/469], Loss: 1811.4136,  Classification Accuracy: 100.00
Epoch: [145/150], Step [100/469], Loss: 1793.0433,  Classification Accuracy: 100.00
Epoch: [145/150], Step [200/469], Loss: 1761.9685,  Classification Accuracy: 99.22
Epoch: [145/150], Step [300/469], Loss: 1743.1805,  Classification Accuracy: 99.22
Epoch: [145/150], Step [400/469], Loss: 1917.9374,  Classification Accuracy: 99.22
Epoch: [146/150], Step [100/469], Loss: 1822.5547,  Classification Accuracy: 99.22
Epoch: [146/150], Step [200/469], Loss: 1754.4500,  Classification Accuracy: 100.00
Epoch: [146/150], Step [300/469], Loss: 1857.0774,  Classification Accuracy: 100.00
Epoch: [146/150], Step [400/469], Loss: 1831.4031,  Classification Accuracy: 100.00
Epoch: [147/150], Step [100/469], Loss: 1845.7007,  Classification Accuracy: 100.00
Epoch: [147/150], Step [200/469], Loss: 1776.4445,  Classification Accuracy: 100.00
Epoch: [147/150], Step [300/469], Loss: 1898.8324,  Classification Accuracy: 100.00
Epoch: [147/150], Step [400/469], Loss: 1915.4357,  Classification Accuracy: 100.00
Epoch: [148/150], Step [100/469], Loss: 1804.5570,  Classification Accuracy: 100.00
Epoch: [148/150], Step [200/469], Loss: 1944.2003,  Classification Accuracy: 100.00
Epoch: [148/150], Step [300/469], Loss: 1777.3284,  Classification Accuracy: 99.22
Epoch: [148/150], Step [400/469], Loss: 1834.0757,  Classification Accuracy: 100.00
Epoch: [149/150], Step [100/469], Loss: 1868.7902,  Classification Accuracy: 100.00
Epoch: [149/150], Step [200/469], Loss: 1740.7246,  Classification Accuracy: 100.00
Epoch: [149/150], Step [300/469], Loss: 1727.7643,  Classification Accuracy: 100.00
Epoch: [149/150], Step [400/469], Loss: 1855.0508,  Classification Accuracy: 100.00
Accuracy of the network on the 10000 test images: 98.6500 %
The average reconstruction loss on the network is 405612
Lambda: 0.01
Epoch: [0/150], Step [100/469], Loss: 248.5918,  Classification Accuracy: 94.53
Epoch: [0/150], Step [200/469], Loss: 234.7483,  Classification Accuracy: 94.53
Epoch: [0/150], Step [300/469], Loss: 224.3184,  Classification Accuracy: 96.09
Epoch: [0/150], Step [400/469], Loss: 224.8586,  Classification Accuracy: 96.88
Epoch: [1/150], Step [100/469], Loss: 213.6101,  Classification Accuracy: 98.44
Epoch: [1/150], Step [200/469], Loss: 204.4178,  Classification Accuracy: 98.44
Epoch: [1/150], Step [300/469], Loss: 211.4097,  Classification Accuracy: 96.88
Epoch: [1/150], Step [400/469], Loss: 205.3574,  Classification Accuracy: 97.66
Epoch: [2/150], Step [100/469], Loss: 215.0760,  Classification Accuracy: 98.44
Epoch: [2/150], Step [200/469], Loss: 209.3730,  Classification Accuracy: 99.22
Epoch: [2/150], Step [300/469], Loss: 206.3481,  Classification Accuracy: 96.88
Epoch: [2/150], Step [400/469], Loss: 205.8489,  Classification Accuracy: 96.09
Epoch: [3/150], Step [100/469], Loss: 202.0271,  Classification Accuracy: 95.31
Epoch: [3/150], Step [200/469], Loss: 209.3447,  Classification Accuracy: 96.88
Epoch: [3/150], Step [300/469], Loss: 214.5805,  Classification Accuracy: 100.00
Epoch: [3/150], Step [400/469], Loss: 204.2050,  Classification Accuracy: 100.00
Epoch: [4/150], Step [100/469], Loss: 203.3195,  Classification Accuracy: 97.66
Epoch: [4/150], Step [200/469], Loss: 198.8427,  Classification Accuracy: 97.66
Epoch: [4/150], Step [300/469], Loss: 202.5861,  Classification Accuracy: 99.22
Epoch: [4/150], Step [400/469], Loss: 204.9873,  Classification Accuracy: 96.09
Epoch: [5/150], Step [100/469], Loss: 202.2023,  Classification Accuracy: 98.44
Epoch: [5/150], Step [200/469], Loss: 204.0382,  Classification Accuracy: 99.22
Epoch: [5/150], Step [300/469], Loss: 212.7644,  Classification Accuracy: 99.22
Epoch: [5/150], Step [400/469], Loss: 194.3104,  Classification Accuracy: 99.22
Epoch: [6/150], Step [100/469], Loss: 208.3559,  Classification Accuracy: 99.22
Epoch: [6/150], Step [200/469], Loss: 196.1913,  Classification Accuracy: 98.44
Epoch: [6/150], Step [300/469], Loss: 201.5655,  Classification Accuracy: 100.00
Epoch: [6/150], Step [400/469], Loss: 204.9537,  Classification Accuracy: 97.66
Epoch: [7/150], Step [100/469], Loss: 201.4024,  Classification Accuracy: 99.22
Epoch: [7/150], Step [200/469], Loss: 195.5245,  Classification Accuracy: 99.22
Epoch: [7/150], Step [300/469], Loss: 193.0123,  Classification Accuracy: 96.88
Epoch: [7/150], Step [400/469], Loss: 206.9741,  Classification Accuracy: 99.22
Epoch: [8/150], Step [100/469], Loss: 196.2958,  Classification Accuracy: 100.00
Epoch: [8/150], Step [200/469], Loss: 193.1865,  Classification Accuracy: 98.44
Epoch: [8/150], Step [300/469], Loss: 203.8899,  Classification Accuracy: 100.00
Epoch: [8/150], Step [400/469], Loss: 202.9574,  Classification Accuracy: 96.88
Epoch: [9/150], Step [100/469], Loss: 204.0629,  Classification Accuracy: 98.44
Epoch: [9/150], Step [200/469], Loss: 205.1535,  Classification Accuracy: 99.22
Epoch: [9/150], Step [300/469], Loss: 197.2267,  Classification Accuracy: 97.66
Epoch: [9/150], Step [400/469], Loss: 202.4930,  Classification Accuracy: 98.44
Epoch: [10/150], Step [100/469], Loss: 197.1331,  Classification Accuracy: 99.22
Epoch: [10/150], Step [200/469], Loss: 194.4729,  Classification Accuracy: 100.00
Epoch: [10/150], Step [300/469], Loss: 206.4334,  Classification Accuracy: 97.66
Epoch: [10/150], Step [400/469], Loss: 196.5360,  Classification Accuracy: 100.00
Epoch: [11/150], Step [100/469], Loss: 188.4293,  Classification Accuracy: 99.22
Epoch: [11/150], Step [200/469], Loss: 207.3342,  Classification Accuracy: 99.22
Epoch: [11/150], Step [300/469], Loss: 192.2309,  Classification Accuracy: 99.22
Epoch: [11/150], Step [400/469], Loss: 197.7770,  Classification Accuracy: 99.22
Epoch: [12/150], Step [100/469], Loss: 200.1253,  Classification Accuracy: 99.22
Epoch: [12/150], Step [200/469], Loss: 189.4913,  Classification Accuracy: 98.44
Epoch: [12/150], Step [300/469], Loss: 204.5592,  Classification Accuracy: 99.22
Epoch: [12/150], Step [400/469], Loss: 196.0232,  Classification Accuracy: 99.22
Epoch: [13/150], Step [100/469], Loss: 192.1488,  Classification Accuracy: 99.22
Epoch: [13/150], Step [200/469], Loss: 196.8829,  Classification Accuracy: 98.44
Epoch: [13/150], Step [300/469], Loss: 200.9655,  Classification Accuracy: 100.00
Epoch: [13/150], Step [400/469], Loss: 198.0418,  Classification Accuracy: 98.44
Epoch: [14/150], Step [100/469], Loss: 184.9715,  Classification Accuracy: 100.00
Epoch: [14/150], Step [200/469], Loss: 199.5608,  Classification Accuracy: 100.00
Epoch: [14/150], Step [300/469], Loss: 197.3267,  Classification Accuracy: 97.66
Epoch: [14/150], Step [400/469], Loss: 189.2738,  Classification Accuracy: 99.22
Epoch: [15/150], Step [100/469], Loss: 198.9472,  Classification Accuracy: 99.22
Epoch: [15/150], Step [200/469], Loss: 197.5498,  Classification Accuracy: 97.66
Epoch: [15/150], Step [300/469], Loss: 190.9964,  Classification Accuracy: 99.22
Epoch: [15/150], Step [400/469], Loss: 190.2598,  Classification Accuracy: 100.00
Epoch: [16/150], Step [100/469], Loss: 192.6174,  Classification Accuracy: 98.44
Epoch: [16/150], Step [200/469], Loss: 193.8627,  Classification Accuracy: 96.88
Epoch: [16/150], Step [300/469], Loss: 203.1608,  Classification Accuracy: 100.00
Epoch: [16/150], Step [400/469], Loss: 198.6559,  Classification Accuracy: 98.44
Epoch: [17/150], Step [100/469], Loss: 195.0443,  Classification Accuracy: 100.00
Epoch: [17/150], Step [200/469], Loss: 194.0424,  Classification Accuracy: 100.00
Epoch: [17/150], Step [300/469], Loss: 199.2278,  Classification Accuracy: 99.22
Epoch: [17/150], Step [400/469], Loss: 186.5978,  Classification Accuracy: 99.22
Epoch: [18/150], Step [100/469], Loss: 193.0099,  Classification Accuracy: 100.00
Epoch: [18/150], Step [200/469], Loss: 192.5092,  Classification Accuracy: 99.22
Epoch: [18/150], Step [300/469], Loss: 195.2442,  Classification Accuracy: 99.22
Epoch: [18/150], Step [400/469], Loss: 194.0204,  Classification Accuracy: 100.00
Epoch: [19/150], Step [100/469], Loss: 186.0769,  Classification Accuracy: 100.00
Epoch: [19/150], Step [200/469], Loss: 200.1350,  Classification Accuracy: 100.00
Epoch: [19/150], Step [300/469], Loss: 191.6035,  Classification Accuracy: 100.00
Epoch: [19/150], Step [400/469], Loss: 194.7305,  Classification Accuracy: 100.00
Epoch: [20/150], Step [100/469], Loss: 191.7822,  Classification Accuracy: 100.00
Epoch: [20/150], Step [200/469], Loss: 189.2881,  Classification Accuracy: 100.00
Epoch: [20/150], Step [300/469], Loss: 198.5919,  Classification Accuracy: 98.44
Epoch: [20/150], Step [400/469], Loss: 184.4922,  Classification Accuracy: 99.22
Epoch: [21/150], Step [100/469], Loss: 188.4418,  Classification Accuracy: 99.22
Epoch: [21/150], Step [200/469], Loss: 189.0825,  Classification Accuracy: 99.22
Epoch: [21/150], Step [300/469], Loss: 192.9797,  Classification Accuracy: 99.22
Epoch: [21/150], Step [400/469], Loss: 192.4665,  Classification Accuracy: 99.22
Epoch: [22/150], Step [100/469], Loss: 190.7538,  Classification Accuracy: 100.00
Epoch: [22/150], Step [200/469], Loss: 195.1972,  Classification Accuracy: 99.22
Epoch: [22/150], Step [300/469], Loss: 197.5780,  Classification Accuracy: 99.22
Epoch: [22/150], Step [400/469], Loss: 193.3474,  Classification Accuracy: 99.22
Epoch: [23/150], Step [100/469], Loss: 190.8525,  Classification Accuracy: 98.44
Epoch: [23/150], Step [200/469], Loss: 202.1179,  Classification Accuracy: 100.00
Epoch: [23/150], Step [300/469], Loss: 193.4861,  Classification Accuracy: 99.22
Epoch: [23/150], Step [400/469], Loss: 194.6821,  Classification Accuracy: 100.00
Epoch: [24/150], Step [100/469], Loss: 191.9820,  Classification Accuracy: 100.00
Epoch: [24/150], Step [200/469], Loss: 191.1010,  Classification Accuracy: 99.22
Epoch: [24/150], Step [300/469], Loss: 191.3084,  Classification Accuracy: 100.00
Epoch: [24/150], Step [400/469], Loss: 187.8589,  Classification Accuracy: 98.44
Epoch: [25/150], Step [100/469], Loss: 200.7590,  Classification Accuracy: 100.00
Epoch: [25/150], Step [200/469], Loss: 185.2580,  Classification Accuracy: 100.00
Epoch: [25/150], Step [300/469], Loss: 188.4885,  Classification Accuracy: 99.22
Epoch: [25/150], Step [400/469], Loss: 195.0647,  Classification Accuracy: 99.22
Epoch: [26/150], Step [100/469], Loss: 192.4215,  Classification Accuracy: 100.00
Epoch: [26/150], Step [200/469], Loss: 192.0988,  Classification Accuracy: 99.22
Epoch: [26/150], Step [300/469], Loss: 201.2207,  Classification Accuracy: 98.44
Epoch: [26/150], Step [400/469], Loss: 200.6204,  Classification Accuracy: 100.00
Epoch: [27/150], Step [100/469], Loss: 189.1345,  Classification Accuracy: 100.00
Epoch: [27/150], Step [200/469], Loss: 184.9620,  Classification Accuracy: 100.00
Epoch: [27/150], Step [300/469], Loss: 190.9883,  Classification Accuracy: 100.00
Epoch: [27/150], Step [400/469], Loss: 190.2993,  Classification Accuracy: 100.00
Epoch: [28/150], Step [100/469], Loss: 188.7416,  Classification Accuracy: 99.22
Epoch: [28/150], Step [200/469], Loss: 183.0478,  Classification Accuracy: 100.00
Epoch: [28/150], Step [300/469], Loss: 199.5296,  Classification Accuracy: 98.44
Epoch: [28/150], Step [400/469], Loss: 184.3838,  Classification Accuracy: 99.22
Epoch: [29/150], Step [100/469], Loss: 191.5156,  Classification Accuracy: 99.22
Epoch: [29/150], Step [200/469], Loss: 190.4647,  Classification Accuracy: 100.00
Epoch: [29/150], Step [300/469], Loss: 201.8164,  Classification Accuracy: 100.00
Epoch: [29/150], Step [400/469], Loss: 194.2685,  Classification Accuracy: 99.22
Epoch: [30/150], Step [100/469], Loss: 191.8048,  Classification Accuracy: 100.00
Epoch: [30/150], Step [200/469], Loss: 182.5027,  Classification Accuracy: 99.22
Epoch: [30/150], Step [300/469], Loss: 187.4408,  Classification Accuracy: 99.22
Epoch: [30/150], Step [400/469], Loss: 187.1277,  Classification Accuracy: 99.22
Epoch: [31/150], Step [100/469], Loss: 184.8283,  Classification Accuracy: 99.22
Epoch: [31/150], Step [200/469], Loss: 185.1555,  Classification Accuracy: 100.00
Epoch: [31/150], Step [300/469], Loss: 193.5498,  Classification Accuracy: 100.00
Epoch: [31/150], Step [400/469], Loss: 194.1251,  Classification Accuracy: 100.00
Epoch: [32/150], Step [100/469], Loss: 190.4977,  Classification Accuracy: 100.00
Epoch: [32/150], Step [200/469], Loss: 198.2672,  Classification Accuracy: 99.22
Epoch: [32/150], Step [300/469], Loss: 192.5023,  Classification Accuracy: 100.00
Epoch: [32/150], Step [400/469], Loss: 193.7571,  Classification Accuracy: 98.44
Epoch: [33/150], Step [100/469], Loss: 200.9680,  Classification Accuracy: 100.00
Epoch: [33/150], Step [200/469], Loss: 194.3446,  Classification Accuracy: 100.00
Epoch: [33/150], Step [300/469], Loss: 189.9801,  Classification Accuracy: 99.22
Epoch: [33/150], Step [400/469], Loss: 187.6777,  Classification Accuracy: 100.00
Epoch: [34/150], Step [100/469], Loss: 194.1516,  Classification Accuracy: 100.00
Epoch: [34/150], Step [200/469], Loss: 190.0007,  Classification Accuracy: 100.00
Epoch: [34/150], Step [300/469], Loss: 187.3740,  Classification Accuracy: 100.00
Epoch: [34/150], Step [400/469], Loss: 187.4169,  Classification Accuracy: 99.22
Epoch: [35/150], Step [100/469], Loss: 193.0632,  Classification Accuracy: 100.00
Epoch: [35/150], Step [200/469], Loss: 190.9580,  Classification Accuracy: 100.00
Epoch: [35/150], Step [300/469], Loss: 187.6766,  Classification Accuracy: 100.00
Epoch: [35/150], Step [400/469], Loss: 186.2098,  Classification Accuracy: 99.22
Epoch: [36/150], Step [100/469], Loss: 188.2444,  Classification Accuracy: 100.00
Epoch: [36/150], Step [200/469], Loss: 196.1568,  Classification Accuracy: 100.00
Epoch: [36/150], Step [300/469], Loss: 197.2890,  Classification Accuracy: 98.44
Epoch: [36/150], Step [400/469], Loss: 192.9933,  Classification Accuracy: 100.00
Epoch: [37/150], Step [100/469], Loss: 187.4386,  Classification Accuracy: 100.00
Epoch: [37/150], Step [200/469], Loss: 193.1086,  Classification Accuracy: 100.00
Epoch: [37/150], Step [300/469], Loss: 189.6652,  Classification Accuracy: 100.00
Epoch: [37/150], Step [400/469], Loss: 191.2480,  Classification Accuracy: 100.00
Epoch: [38/150], Step [100/469], Loss: 186.0275,  Classification Accuracy: 100.00
Epoch: [38/150], Step [200/469], Loss: 183.1027,  Classification Accuracy: 100.00
Epoch: [38/150], Step [300/469], Loss: 199.2353,  Classification Accuracy: 100.00
Epoch: [38/150], Step [400/469], Loss: 190.4191,  Classification Accuracy: 100.00
Epoch: [39/150], Step [100/469], Loss: 176.2742,  Classification Accuracy: 100.00
Epoch: [39/150], Step [200/469], Loss: 188.4375,  Classification Accuracy: 98.44
Epoch: [39/150], Step [300/469], Loss: 192.4104,  Classification Accuracy: 100.00
Epoch: [39/150], Step [400/469], Loss: 197.3401,  Classification Accuracy: 100.00
Epoch: [40/150], Step [100/469], Loss: 190.5722,  Classification Accuracy: 100.00
Epoch: [40/150], Step [200/469], Loss: 183.0529,  Classification Accuracy: 100.00
Epoch: [40/150], Step [300/469], Loss: 188.8405,  Classification Accuracy: 100.00
Epoch: [40/150], Step [400/469], Loss: 182.6485,  Classification Accuracy: 100.00
Epoch: [41/150], Step [100/469], Loss: 190.1683,  Classification Accuracy: 100.00
Epoch: [41/150], Step [200/469], Loss: 192.3114,  Classification Accuracy: 100.00
Epoch: [41/150], Step [300/469], Loss: 188.6977,  Classification Accuracy: 100.00
Epoch: [41/150], Step [400/469], Loss: 192.2180,  Classification Accuracy: 100.00
Epoch: [42/150], Step [100/469], Loss: 192.2883,  Classification Accuracy: 99.22
Epoch: [42/150], Step [200/469], Loss: 179.4031,  Classification Accuracy: 100.00
Epoch: [42/150], Step [300/469], Loss: 186.6694,  Classification Accuracy: 99.22
Epoch: [42/150], Step [400/469], Loss: 184.3978,  Classification Accuracy: 99.22
Epoch: [43/150], Step [100/469], Loss: 184.9303,  Classification Accuracy: 100.00
Epoch: [43/150], Step [200/469], Loss: 186.4979,  Classification Accuracy: 100.00
Epoch: [43/150], Step [300/469], Loss: 188.9614,  Classification Accuracy: 100.00
Epoch: [43/150], Step [400/469], Loss: 198.4778,  Classification Accuracy: 99.22
Epoch: [44/150], Step [100/469], Loss: 186.5430,  Classification Accuracy: 100.00
Epoch: [44/150], Step [200/469], Loss: 184.7476,  Classification Accuracy: 100.00
Epoch: [44/150], Step [300/469], Loss: 181.5847,  Classification Accuracy: 100.00
Epoch: [44/150], Step [400/469], Loss: 193.8693,  Classification Accuracy: 100.00
Epoch: [45/150], Step [100/469], Loss: 190.7695,  Classification Accuracy: 100.00
Epoch: [45/150], Step [200/469], Loss: 184.9360,  Classification Accuracy: 100.00
Epoch: [45/150], Step [300/469], Loss: 185.7578,  Classification Accuracy: 100.00
Epoch: [45/150], Step [400/469], Loss: 190.3140,  Classification Accuracy: 100.00
Epoch: [46/150], Step [100/469], Loss: 191.4449,  Classification Accuracy: 100.00
Epoch: [46/150], Step [200/469], Loss: 196.3893,  Classification Accuracy: 100.00
Epoch: [46/150], Step [300/469], Loss: 180.9583,  Classification Accuracy: 100.00
Epoch: [46/150], Step [400/469], Loss: 183.2276,  Classification Accuracy: 100.00
Epoch: [47/150], Step [100/469], Loss: 187.0904,  Classification Accuracy: 100.00
Epoch: [47/150], Step [200/469], Loss: 181.2448,  Classification Accuracy: 100.00
Epoch: [47/150], Step [300/469], Loss: 197.1742,  Classification Accuracy: 99.22
Epoch: [47/150], Step [400/469], Loss: 186.4507,  Classification Accuracy: 100.00
Epoch: [48/150], Step [100/469], Loss: 191.8130,  Classification Accuracy: 100.00
Epoch: [48/150], Step [200/469], Loss: 189.1819,  Classification Accuracy: 100.00
Epoch: [48/150], Step [300/469], Loss: 185.0465,  Classification Accuracy: 100.00
Epoch: [48/150], Step [400/469], Loss: 195.7310,  Classification Accuracy: 99.22
Epoch: [49/150], Step [100/469], Loss: 181.0562,  Classification Accuracy: 100.00
Epoch: [49/150], Step [200/469], Loss: 188.8503,  Classification Accuracy: 100.00
Epoch: [49/150], Step [300/469], Loss: 195.7512,  Classification Accuracy: 100.00
Epoch: [49/150], Step [400/469], Loss: 183.8343,  Classification Accuracy: 98.44
Epoch: [50/150], Step [100/469], Loss: 188.8992,  Classification Accuracy: 99.22
Epoch: [50/150], Step [200/469], Loss: 194.9426,  Classification Accuracy: 99.22
Epoch: [50/150], Step [300/469], Loss: 188.6409,  Classification Accuracy: 100.00
Epoch: [50/150], Step [400/469], Loss: 196.0084,  Classification Accuracy: 100.00
Epoch: [51/150], Step [100/469], Loss: 183.6717,  Classification Accuracy: 99.22
Epoch: [51/150], Step [200/469], Loss: 193.8910,  Classification Accuracy: 100.00
Epoch: [51/150], Step [300/469], Loss: 188.2028,  Classification Accuracy: 99.22
Epoch: [51/150], Step [400/469], Loss: 184.7701,  Classification Accuracy: 100.00
Epoch: [52/150], Step [100/469], Loss: 183.9821,  Classification Accuracy: 100.00
Epoch: [52/150], Step [200/469], Loss: 177.1407,  Classification Accuracy: 99.22
Epoch: [52/150], Step [300/469], Loss: 184.2858,  Classification Accuracy: 100.00
Epoch: [52/150], Step [400/469], Loss: 187.0399,  Classification Accuracy: 99.22
Epoch: [53/150], Step [100/469], Loss: 185.3771,  Classification Accuracy: 100.00
Epoch: [53/150], Step [200/469], Loss: 175.5432,  Classification Accuracy: 100.00
Epoch: [53/150], Step [300/469], Loss: 180.5836,  Classification Accuracy: 100.00
Epoch: [53/150], Step [400/469], Loss: 199.5755,  Classification Accuracy: 100.00
Epoch: [54/150], Step [100/469], Loss: 191.5979,  Classification Accuracy: 99.22
Epoch: [54/150], Step [200/469], Loss: 182.3259,  Classification Accuracy: 100.00
Epoch: [54/150], Step [300/469], Loss: 183.0042,  Classification Accuracy: 99.22
Epoch: [54/150], Step [400/469], Loss: 189.1232,  Classification Accuracy: 98.44
Epoch: [55/150], Step [100/469], Loss: 199.7300,  Classification Accuracy: 100.00
Epoch: [55/150], Step [200/469], Loss: 174.5552,  Classification Accuracy: 100.00
Epoch: [55/150], Step [300/469], Loss: 193.8722,  Classification Accuracy: 100.00
Epoch: [55/150], Step [400/469], Loss: 189.0033,  Classification Accuracy: 100.00
Epoch: [56/150], Step [100/469], Loss: 195.7243,  Classification Accuracy: 100.00
Epoch: [56/150], Step [200/469], Loss: 190.3325,  Classification Accuracy: 99.22
Epoch: [56/150], Step [300/469], Loss: 179.0918,  Classification Accuracy: 100.00
Epoch: [56/150], Step [400/469], Loss: 190.9449,  Classification Accuracy: 99.22
Epoch: [57/150], Step [100/469], Loss: 182.6854,  Classification Accuracy: 100.00
Epoch: [57/150], Step [200/469], Loss: 184.0136,  Classification Accuracy: 100.00
Epoch: [57/150], Step [300/469], Loss: 186.7995,  Classification Accuracy: 100.00
Epoch: [57/150], Step [400/469], Loss: 185.5096,  Classification Accuracy: 100.00
Epoch: [58/150], Step [100/469], Loss: 180.8055,  Classification Accuracy: 100.00
Epoch: [58/150], Step [200/469], Loss: 184.8119,  Classification Accuracy: 100.00
Epoch: [58/150], Step [300/469], Loss: 191.3297,  Classification Accuracy: 100.00
Epoch: [58/150], Step [400/469], Loss: 205.5080,  Classification Accuracy: 99.22
Epoch: [59/150], Step [100/469], Loss: 182.9254,  Classification Accuracy: 100.00
Epoch: [59/150], Step [200/469], Loss: 191.6601,  Classification Accuracy: 100.00
Epoch: [59/150], Step [300/469], Loss: 188.8182,  Classification Accuracy: 100.00
Epoch: [59/150], Step [400/469], Loss: 187.1873,  Classification Accuracy: 100.00
Epoch: [60/150], Step [100/469], Loss: 190.0582,  Classification Accuracy: 100.00
Epoch: [60/150], Step [200/469], Loss: 181.1039,  Classification Accuracy: 100.00
Epoch: [60/150], Step [300/469], Loss: 194.3450,  Classification Accuracy: 100.00
Epoch: [60/150], Step [400/469], Loss: 190.9106,  Classification Accuracy: 100.00
Epoch: [61/150], Step [100/469], Loss: 184.1148,  Classification Accuracy: 100.00
Epoch: [61/150], Step [200/469], Loss: 185.2608,  Classification Accuracy: 100.00
Epoch: [61/150], Step [300/469], Loss: 183.7617,  Classification Accuracy: 100.00
Epoch: [61/150], Step [400/469], Loss: 190.1632,  Classification Accuracy: 100.00
Epoch: [62/150], Step [100/469], Loss: 190.2642,  Classification Accuracy: 99.22
Epoch: [62/150], Step [200/469], Loss: 189.2936,  Classification Accuracy: 100.00
Epoch: [62/150], Step [300/469], Loss: 181.8031,  Classification Accuracy: 100.00
Epoch: [62/150], Step [400/469], Loss: 184.5955,  Classification Accuracy: 100.00
Epoch: [63/150], Step [100/469], Loss: 180.1801,  Classification Accuracy: 100.00
Epoch: [63/150], Step [200/469], Loss: 186.2520,  Classification Accuracy: 99.22
Epoch: [63/150], Step [300/469], Loss: 179.4173,  Classification Accuracy: 100.00
Epoch: [63/150], Step [400/469], Loss: 188.2260,  Classification Accuracy: 100.00
Epoch: [64/150], Step [100/469], Loss: 180.1326,  Classification Accuracy: 100.00
Epoch: [64/150], Step [200/469], Loss: 191.8795,  Classification Accuracy: 100.00
Epoch: [64/150], Step [300/469], Loss: 192.3925,  Classification Accuracy: 99.22
Epoch: [64/150], Step [400/469], Loss: 187.5018,  Classification Accuracy: 100.00
Epoch: [65/150], Step [100/469], Loss: 184.8540,  Classification Accuracy: 100.00
Epoch: [65/150], Step [200/469], Loss: 190.8027,  Classification Accuracy: 98.44
Epoch: [65/150], Step [300/469], Loss: 184.2542,  Classification Accuracy: 100.00
Epoch: [65/150], Step [400/469], Loss: 184.8448,  Classification Accuracy: 98.44
Epoch: [66/150], Step [100/469], Loss: 176.6229,  Classification Accuracy: 100.00
Epoch: [66/150], Step [200/469], Loss: 186.5694,  Classification Accuracy: 99.22
Epoch: [66/150], Step [300/469], Loss: 187.5654,  Classification Accuracy: 100.00
Epoch: [66/150], Step [400/469], Loss: 185.0561,  Classification Accuracy: 99.22
Epoch: [67/150], Step [100/469], Loss: 185.5360,  Classification Accuracy: 100.00
Epoch: [67/150], Step [200/469], Loss: 184.7384,  Classification Accuracy: 100.00
Epoch: [67/150], Step [300/469], Loss: 181.9306,  Classification Accuracy: 100.00
Epoch: [67/150], Step [400/469], Loss: 189.0285,  Classification Accuracy: 100.00
Epoch: [68/150], Step [100/469], Loss: 185.4689,  Classification Accuracy: 100.00
Epoch: [68/150], Step [200/469], Loss: 187.1177,  Classification Accuracy: 100.00
Epoch: [68/150], Step [300/469], Loss: 193.6817,  Classification Accuracy: 100.00
Epoch: [68/150], Step [400/469], Loss: 190.6372,  Classification Accuracy: 100.00
Epoch: [69/150], Step [100/469], Loss: 178.1325,  Classification Accuracy: 100.00
Epoch: [69/150], Step [200/469], Loss: 187.4825,  Classification Accuracy: 100.00
Epoch: [69/150], Step [300/469], Loss: 186.0545,  Classification Accuracy: 100.00
Epoch: [69/150], Step [400/469], Loss: 193.9083,  Classification Accuracy: 99.22
Epoch: [70/150], Step [100/469], Loss: 182.7893,  Classification Accuracy: 100.00
Epoch: [70/150], Step [200/469], Loss: 189.9745,  Classification Accuracy: 100.00
Epoch: [70/150], Step [300/469], Loss: 180.7135,  Classification Accuracy: 100.00
Epoch: [70/150], Step [400/469], Loss: 182.1041,  Classification Accuracy: 100.00
Epoch: [71/150], Step [100/469], Loss: 178.3890,  Classification Accuracy: 100.00
Epoch: [71/150], Step [200/469], Loss: 184.8107,  Classification Accuracy: 100.00
Epoch: [71/150], Step [300/469], Loss: 189.2086,  Classification Accuracy: 99.22
Epoch: [71/150], Step [400/469], Loss: 179.3790,  Classification Accuracy: 99.22
Epoch: [72/150], Step [100/469], Loss: 188.4820,  Classification Accuracy: 100.00
Epoch: [72/150], Step [200/469], Loss: 182.3591,  Classification Accuracy: 100.00
Epoch: [72/150], Step [300/469], Loss: 190.4684,  Classification Accuracy: 99.22
Epoch: [72/150], Step [400/469], Loss: 185.8705,  Classification Accuracy: 100.00
Epoch: [73/150], Step [100/469], Loss: 185.0550,  Classification Accuracy: 100.00
Epoch: [73/150], Step [200/469], Loss: 190.2459,  Classification Accuracy: 100.00
Epoch: [73/150], Step [300/469], Loss: 183.2473,  Classification Accuracy: 99.22
Epoch: [73/150], Step [400/469], Loss: 186.6010,  Classification Accuracy: 99.22
Epoch: [74/150], Step [100/469], Loss: 185.3385,  Classification Accuracy: 100.00
Epoch: [74/150], Step [200/469], Loss: 197.5196,  Classification Accuracy: 100.00
Epoch: [74/150], Step [300/469], Loss: 192.7689,  Classification Accuracy: 97.66
Epoch: [74/150], Step [400/469], Loss: 188.7155,  Classification Accuracy: 100.00
Epoch: [75/150], Step [100/469], Loss: 187.2478,  Classification Accuracy: 100.00
Epoch: [75/150], Step [200/469], Loss: 185.8828,  Classification Accuracy: 99.22
Epoch: [75/150], Step [300/469], Loss: 179.6895,  Classification Accuracy: 99.22
Epoch: [75/150], Step [400/469], Loss: 184.0906,  Classification Accuracy: 100.00
Epoch: [76/150], Step [100/469], Loss: 189.1636,  Classification Accuracy: 100.00
Epoch: [76/150], Step [200/469], Loss: 192.5355,  Classification Accuracy: 100.00
Epoch: [76/150], Step [300/469], Loss: 194.3999,  Classification Accuracy: 99.22
Epoch: [76/150], Step [400/469], Loss: 192.7761,  Classification Accuracy: 99.22
Epoch: [77/150], Step [100/469], Loss: 184.0419,  Classification Accuracy: 100.00
Epoch: [77/150], Step [200/469], Loss: 178.2050,  Classification Accuracy: 100.00
Epoch: [77/150], Step [300/469], Loss: 179.8808,  Classification Accuracy: 100.00
Epoch: [77/150], Step [400/469], Loss: 187.5001,  Classification Accuracy: 100.00
Epoch: [78/150], Step [100/469], Loss: 177.6955,  Classification Accuracy: 100.00
Epoch: [78/150], Step [200/469], Loss: 179.9380,  Classification Accuracy: 100.00
Epoch: [78/150], Step [300/469], Loss: 181.9655,  Classification Accuracy: 100.00
Epoch: [78/150], Step [400/469], Loss: 181.8413,  Classification Accuracy: 98.44
Epoch: [79/150], Step [100/469], Loss: 183.7527,  Classification Accuracy: 99.22
Epoch: [79/150], Step [200/469], Loss: 180.1286,  Classification Accuracy: 100.00
Epoch: [79/150], Step [300/469], Loss: 192.6848,  Classification Accuracy: 100.00
Epoch: [79/150], Step [400/469], Loss: 189.5360,  Classification Accuracy: 100.00
Epoch: [80/150], Step [100/469], Loss: 173.5790,  Classification Accuracy: 100.00
Epoch: [80/150], Step [200/469], Loss: 180.0748,  Classification Accuracy: 100.00
Epoch: [80/150], Step [300/469], Loss: 179.9810,  Classification Accuracy: 100.00
Epoch: [80/150], Step [400/469], Loss: 179.0078,  Classification Accuracy: 99.22
Epoch: [81/150], Step [100/469], Loss: 189.0941,  Classification Accuracy: 100.00
Epoch: [81/150], Step [200/469], Loss: 183.6369,  Classification Accuracy: 100.00
Epoch: [81/150], Step [300/469], Loss: 185.3820,  Classification Accuracy: 100.00
Epoch: [81/150], Step [400/469], Loss: 192.6636,  Classification Accuracy: 99.22
Epoch: [82/150], Step [100/469], Loss: 182.3848,  Classification Accuracy: 100.00
Epoch: [82/150], Step [200/469], Loss: 185.9119,  Classification Accuracy: 100.00
Epoch: [82/150], Step [300/469], Loss: 185.0387,  Classification Accuracy: 100.00
Epoch: [82/150], Step [400/469], Loss: 189.2922,  Classification Accuracy: 99.22
Epoch: [83/150], Step [100/469], Loss: 191.4168,  Classification Accuracy: 100.00
Epoch: [83/150], Step [200/469], Loss: 181.2613,  Classification Accuracy: 100.00
Epoch: [83/150], Step [300/469], Loss: 170.2236,  Classification Accuracy: 100.00
Epoch: [83/150], Step [400/469], Loss: 183.8313,  Classification Accuracy: 100.00
Epoch: [84/150], Step [100/469], Loss: 186.1200,  Classification Accuracy: 100.00
Epoch: [84/150], Step [200/469], Loss: 184.4805,  Classification Accuracy: 100.00
Epoch: [84/150], Step [300/469], Loss: 185.7410,  Classification Accuracy: 99.22
Epoch: [84/150], Step [400/469], Loss: 184.2388,  Classification Accuracy: 100.00
Epoch: [85/150], Step [100/469], Loss: 185.0988,  Classification Accuracy: 100.00
Epoch: [85/150], Step [200/469], Loss: 181.0070,  Classification Accuracy: 99.22
Epoch: [85/150], Step [300/469], Loss: 178.6553,  Classification Accuracy: 100.00
Epoch: [85/150], Step [400/469], Loss: 181.5530,  Classification Accuracy: 100.00
Epoch: [86/150], Step [100/469], Loss: 181.1429,  Classification Accuracy: 99.22
Epoch: [86/150], Step [200/469], Loss: 172.4911,  Classification Accuracy: 100.00
Epoch: [86/150], Step [300/469], Loss: 185.0314,  Classification Accuracy: 100.00
Epoch: [86/150], Step [400/469], Loss: 182.8858,  Classification Accuracy: 98.44
Epoch: [87/150], Step [100/469], Loss: 170.8158,  Classification Accuracy: 100.00
Epoch: [87/150], Step [200/469], Loss: 188.0110,  Classification Accuracy: 100.00
Epoch: [87/150], Step [300/469], Loss: 181.2427,  Classification Accuracy: 100.00
Epoch: [87/150], Step [400/469], Loss: 181.7466,  Classification Accuracy: 100.00
Epoch: [88/150], Step [100/469], Loss: 183.0626,  Classification Accuracy: 100.00
Epoch: [88/150], Step [200/469], Loss: 186.9028,  Classification Accuracy: 100.00
Epoch: [88/150], Step [300/469], Loss: 185.7941,  Classification Accuracy: 99.22
Epoch: [88/150], Step [400/469], Loss: 180.6415,  Classification Accuracy: 100.00
Epoch: [89/150], Step [100/469], Loss: 185.8775,  Classification Accuracy: 100.00
Epoch: [89/150], Step [200/469], Loss: 178.0326,  Classification Accuracy: 100.00
Epoch: [89/150], Step [300/469], Loss: 177.4996,  Classification Accuracy: 100.00
Epoch: [89/150], Step [400/469], Loss: 186.8580,  Classification Accuracy: 97.66
Epoch: [90/150], Step [100/469], Loss: 184.6895,  Classification Accuracy: 100.00
Epoch: [90/150], Step [200/469], Loss: 190.5311,  Classification Accuracy: 99.22
Epoch: [90/150], Step [300/469], Loss: 180.9628,  Classification Accuracy: 100.00
Epoch: [90/150], Step [400/469], Loss: 191.2772,  Classification Accuracy: 100.00
Epoch: [91/150], Step [100/469], Loss: 182.4070,  Classification Accuracy: 99.22
Epoch: [91/150], Step [200/469], Loss: 187.5269,  Classification Accuracy: 100.00
Epoch: [91/150], Step [300/469], Loss: 192.3223,  Classification Accuracy: 99.22
Epoch: [91/150], Step [400/469], Loss: 191.1163,  Classification Accuracy: 100.00
Epoch: [92/150], Step [100/469], Loss: 192.6204,  Classification Accuracy: 99.22
Epoch: [92/150], Step [200/469], Loss: 190.1660,  Classification Accuracy: 99.22
Epoch: [92/150], Step [300/469], Loss: 195.1642,  Classification Accuracy: 99.22
Epoch: [92/150], Step [400/469], Loss: 183.7719,  Classification Accuracy: 100.00
Epoch: [93/150], Step [100/469], Loss: 191.7973,  Classification Accuracy: 100.00
Epoch: [93/150], Step [200/469], Loss: 182.7902,  Classification Accuracy: 100.00
Epoch: [93/150], Step [300/469], Loss: 178.0969,  Classification Accuracy: 99.22
Epoch: [93/150], Step [400/469], Loss: 175.9028,  Classification Accuracy: 100.00
Epoch: [94/150], Step [100/469], Loss: 181.9986,  Classification Accuracy: 100.00
Epoch: [94/150], Step [200/469], Loss: 182.6488,  Classification Accuracy: 100.00
Epoch: [94/150], Step [300/469], Loss: 181.5109,  Classification Accuracy: 99.22
Epoch: [94/150], Step [400/469], Loss: 174.0497,  Classification Accuracy: 100.00
Epoch: [95/150], Step [100/469], Loss: 182.7783,  Classification Accuracy: 100.00
Epoch: [95/150], Step [200/469], Loss: 183.1201,  Classification Accuracy: 100.00
Epoch: [95/150], Step [300/469], Loss: 182.4763,  Classification Accuracy: 100.00
Epoch: [95/150], Step [400/469], Loss: 187.1329,  Classification Accuracy: 100.00
Epoch: [96/150], Step [100/469], Loss: 192.5208,  Classification Accuracy: 100.00
Epoch: [96/150], Step [200/469], Loss: 187.3972,  Classification Accuracy: 100.00
Epoch: [96/150], Step [300/469], Loss: 178.7776,  Classification Accuracy: 100.00
Epoch: [96/150], Step [400/469], Loss: 173.5980,  Classification Accuracy: 99.22
Epoch: [97/150], Step [100/469], Loss: 194.9064,  Classification Accuracy: 100.00
Epoch: [97/150], Step [200/469], Loss: 194.8780,  Classification Accuracy: 100.00
Epoch: [97/150], Step [300/469], Loss: 177.4044,  Classification Accuracy: 100.00
Epoch: [97/150], Step [400/469], Loss: 191.2274,  Classification Accuracy: 100.00
Epoch: [98/150], Step [100/469], Loss: 172.6355,  Classification Accuracy: 100.00
Epoch: [98/150], Step [200/469], Loss: 186.7645,  Classification Accuracy: 100.00
Epoch: [98/150], Step [300/469], Loss: 185.6959,  Classification Accuracy: 100.00
Epoch: [98/150], Step [400/469], Loss: 188.3038,  Classification Accuracy: 100.00
Epoch: [99/150], Step [100/469], Loss: 177.4211,  Classification Accuracy: 100.00
Epoch: [99/150], Step [200/469], Loss: 178.8016,  Classification Accuracy: 98.44
Epoch: [99/150], Step [300/469], Loss: 177.7787,  Classification Accuracy: 100.00
Epoch: [99/150], Step [400/469], Loss: 184.5910,  Classification Accuracy: 100.00
Epoch: [100/150], Step [100/469], Loss: 186.6033,  Classification Accuracy: 99.22
Epoch: [100/150], Step [200/469], Loss: 177.3687,  Classification Accuracy: 100.00
Epoch: [100/150], Step [300/469], Loss: 185.5486,  Classification Accuracy: 99.22
Epoch: [100/150], Step [400/469], Loss: 197.1408,  Classification Accuracy: 100.00
Epoch: [101/150], Step [100/469], Loss: 186.3098,  Classification Accuracy: 100.00
Epoch: [101/150], Step [200/469], Loss: 180.0182,  Classification Accuracy: 100.00
Epoch: [101/150], Step [300/469], Loss: 179.4563,  Classification Accuracy: 100.00
Epoch: [101/150], Step [400/469], Loss: 192.6722,  Classification Accuracy: 100.00
Epoch: [102/150], Step [100/469], Loss: 191.3049,  Classification Accuracy: 100.00
Epoch: [102/150], Step [200/469], Loss: 176.3836,  Classification Accuracy: 100.00
Epoch: [102/150], Step [300/469], Loss: 178.5764,  Classification Accuracy: 100.00
Epoch: [102/150], Step [400/469], Loss: 177.0995,  Classification Accuracy: 100.00
Epoch: [103/150], Step [100/469], Loss: 184.0136,  Classification Accuracy: 100.00
Epoch: [103/150], Step [200/469], Loss: 174.7637,  Classification Accuracy: 100.00
Epoch: [103/150], Step [300/469], Loss: 180.7105,  Classification Accuracy: 100.00
Epoch: [103/150], Step [400/469], Loss: 192.0088,  Classification Accuracy: 100.00
Epoch: [104/150], Step [100/469], Loss: 182.0876,  Classification Accuracy: 100.00
Epoch: [104/150], Step [200/469], Loss: 185.8255,  Classification Accuracy: 100.00
Epoch: [104/150], Step [300/469], Loss: 188.5861,  Classification Accuracy: 100.00
Epoch: [104/150], Step [400/469], Loss: 185.2182,  Classification Accuracy: 100.00
Epoch: [105/150], Step [100/469], Loss: 184.1552,  Classification Accuracy: 100.00
Epoch: [105/150], Step [200/469], Loss: 184.3077,  Classification Accuracy: 99.22
Epoch: [105/150], Step [300/469], Loss: 182.4893,  Classification Accuracy: 99.22
Epoch: [105/150], Step [400/469], Loss: 176.1088,  Classification Accuracy: 100.00
Epoch: [106/150], Step [100/469], Loss: 184.4798,  Classification Accuracy: 99.22
Epoch: [106/150], Step [200/469], Loss: 188.2385,  Classification Accuracy: 100.00
Epoch: [106/150], Step [300/469], Loss: 180.1937,  Classification Accuracy: 100.00
Epoch: [106/150], Step [400/469], Loss: 178.2420,  Classification Accuracy: 100.00
Epoch: [107/150], Step [100/469], Loss: 180.1015,  Classification Accuracy: 100.00
Epoch: [107/150], Step [200/469], Loss: 192.5158,  Classification Accuracy: 99.22
Epoch: [107/150], Step [300/469], Loss: 170.9513,  Classification Accuracy: 100.00
Epoch: [107/150], Step [400/469], Loss: 178.8615,  Classification Accuracy: 100.00
Epoch: [108/150], Step [100/469], Loss: 177.8912,  Classification Accuracy: 100.00
Epoch: [108/150], Step [200/469], Loss: 179.9394,  Classification Accuracy: 100.00
Epoch: [108/150], Step [300/469], Loss: 182.3797,  Classification Accuracy: 99.22
Epoch: [108/150], Step [400/469], Loss: 185.5701,  Classification Accuracy: 100.00
Epoch: [109/150], Step [100/469], Loss: 183.8777,  Classification Accuracy: 100.00
Epoch: [109/150], Step [200/469], Loss: 186.3821,  Classification Accuracy: 100.00
Epoch: [109/150], Step [300/469], Loss: 179.9845,  Classification Accuracy: 98.44
Epoch: [109/150], Step [400/469], Loss: 188.7665,  Classification Accuracy: 100.00
Epoch: [110/150], Step [100/469], Loss: 182.7708,  Classification Accuracy: 99.22
Epoch: [110/150], Step [200/469], Loss: 176.0818,  Classification Accuracy: 100.00
Epoch: [110/150], Step [300/469], Loss: 175.9549,  Classification Accuracy: 100.00
Epoch: [110/150], Step [400/469], Loss: 193.3565,  Classification Accuracy: 98.44
Epoch: [111/150], Step [100/469], Loss: 187.6116,  Classification Accuracy: 99.22
Epoch: [111/150], Step [200/469], Loss: 179.3830,  Classification Accuracy: 100.00
Epoch: [111/150], Step [300/469], Loss: 173.4991,  Classification Accuracy: 100.00
Epoch: [111/150], Step [400/469], Loss: 184.8811,  Classification Accuracy: 100.00
Epoch: [112/150], Step [100/469], Loss: 182.3898,  Classification Accuracy: 99.22
Epoch: [112/150], Step [200/469], Loss: 176.0394,  Classification Accuracy: 99.22
Epoch: [112/150], Step [300/469], Loss: 184.4302,  Classification Accuracy: 100.00
Epoch: [112/150], Step [400/469], Loss: 181.9457,  Classification Accuracy: 99.22
Epoch: [113/150], Step [100/469], Loss: 179.0832,  Classification Accuracy: 100.00
Epoch: [113/150], Step [200/469], Loss: 180.8104,  Classification Accuracy: 100.00
Epoch: [113/150], Step [300/469], Loss: 177.4746,  Classification Accuracy: 100.00
Epoch: [113/150], Step [400/469], Loss: 175.5933,  Classification Accuracy: 100.00
Epoch: [114/150], Step [100/469], Loss: 191.2592,  Classification Accuracy: 100.00
Epoch: [114/150], Step [200/469], Loss: 186.1954,  Classification Accuracy: 100.00
Epoch: [114/150], Step [300/469], Loss: 178.8405,  Classification Accuracy: 100.00
Epoch: [114/150], Step [400/469], Loss: 181.6172,  Classification Accuracy: 100.00
Epoch: [115/150], Step [100/469], Loss: 187.8632,  Classification Accuracy: 100.00
Epoch: [115/150], Step [200/469], Loss: 187.3886,  Classification Accuracy: 100.00
Epoch: [115/150], Step [300/469], Loss: 186.6063,  Classification Accuracy: 100.00
Epoch: [115/150], Step [400/469], Loss: 188.7307,  Classification Accuracy: 98.44
Epoch: [116/150], Step [100/469], Loss: 181.0111,  Classification Accuracy: 100.00
Epoch: [116/150], Step [200/469], Loss: 182.4616,  Classification Accuracy: 98.44
Epoch: [116/150], Step [300/469], Loss: 180.4987,  Classification Accuracy: 100.00
Epoch: [116/150], Step [400/469], Loss: 187.8309,  Classification Accuracy: 99.22
Epoch: [117/150], Step [100/469], Loss: 189.6180,  Classification Accuracy: 100.00
Epoch: [117/150], Step [200/469], Loss: 183.4223,  Classification Accuracy: 99.22
Epoch: [117/150], Step [300/469], Loss: 187.9227,  Classification Accuracy: 100.00
Epoch: [117/150], Step [400/469], Loss: 184.7749,  Classification Accuracy: 98.44
Epoch: [118/150], Step [100/469], Loss: 187.0860,  Classification Accuracy: 99.22
Epoch: [118/150], Step [200/469], Loss: 184.4945,  Classification Accuracy: 100.00
Epoch: [118/150], Step [300/469], Loss: 173.2406,  Classification Accuracy: 100.00
Epoch: [118/150], Step [400/469], Loss: 182.3261,  Classification Accuracy: 100.00
Epoch: [119/150], Step [100/469], Loss: 183.5281,  Classification Accuracy: 100.00
Epoch: [119/150], Step [200/469], Loss: 182.7234,  Classification Accuracy: 100.00
Epoch: [119/150], Step [300/469], Loss: 183.5377,  Classification Accuracy: 100.00
Epoch: [119/150], Step [400/469], Loss: 182.0614,  Classification Accuracy: 100.00
Epoch: [120/150], Step [100/469], Loss: 175.3790,  Classification Accuracy: 99.22
Epoch: [120/150], Step [200/469], Loss: 180.5021,  Classification Accuracy: 100.00
Epoch: [120/150], Step [300/469], Loss: 181.6343,  Classification Accuracy: 98.44
Epoch: [120/150], Step [400/469], Loss: 178.9401,  Classification Accuracy: 100.00
Epoch: [121/150], Step [100/469], Loss: 177.9489,  Classification Accuracy: 100.00
Epoch: [121/150], Step [200/469], Loss: 186.8639,  Classification Accuracy: 100.00
Epoch: [121/150], Step [300/469], Loss: 181.8880,  Classification Accuracy: 100.00
Epoch: [121/150], Step [400/469], Loss: 181.0696,  Classification Accuracy: 100.00
Epoch: [122/150], Step [100/469], Loss: 182.7393,  Classification Accuracy: 100.00
Epoch: [122/150], Step [200/469], Loss: 186.0619,  Classification Accuracy: 99.22
Epoch: [122/150], Step [300/469], Loss: 180.5376,  Classification Accuracy: 100.00
Epoch: [122/150], Step [400/469], Loss: 180.3884,  Classification Accuracy: 100.00
Epoch: [123/150], Step [100/469], Loss: 184.0543,  Classification Accuracy: 99.22
Epoch: [123/150], Step [200/469], Loss: 181.5365,  Classification Accuracy: 100.00
Epoch: [123/150], Step [300/469], Loss: 180.4845,  Classification Accuracy: 100.00
Epoch: [123/150], Step [400/469], Loss: 182.0672,  Classification Accuracy: 100.00
Epoch: [124/150], Step [100/469], Loss: 183.2213,  Classification Accuracy: 100.00
Epoch: [124/150], Step [200/469], Loss: 183.8733,  Classification Accuracy: 100.00
Epoch: [124/150], Step [300/469], Loss: 186.2809,  Classification Accuracy: 100.00
Epoch: [124/150], Step [400/469], Loss: 171.3755,  Classification Accuracy: 100.00
Epoch: [125/150], Step [100/469], Loss: 176.0664,  Classification Accuracy: 100.00
Epoch: [125/150], Step [200/469], Loss: 176.2975,  Classification Accuracy: 99.22
Epoch: [125/150], Step [300/469], Loss: 173.3743,  Classification Accuracy: 99.22
Epoch: [125/150], Step [400/469], Loss: 177.2031,  Classification Accuracy: 100.00
Epoch: [126/150], Step [100/469], Loss: 181.2825,  Classification Accuracy: 99.22
Epoch: [126/150], Step [200/469], Loss: 179.0011,  Classification Accuracy: 100.00
Epoch: [126/150], Step [300/469], Loss: 185.2460,  Classification Accuracy: 100.00
Epoch: [126/150], Step [400/469], Loss: 183.4186,  Classification Accuracy: 100.00
Epoch: [127/150], Step [100/469], Loss: 180.5205,  Classification Accuracy: 100.00
Epoch: [127/150], Step [200/469], Loss: 182.6275,  Classification Accuracy: 100.00
Epoch: [127/150], Step [300/469], Loss: 185.8202,  Classification Accuracy: 100.00
Epoch: [127/150], Step [400/469], Loss: 181.8978,  Classification Accuracy: 100.00
Epoch: [128/150], Step [100/469], Loss: 182.2404,  Classification Accuracy: 100.00
Epoch: [128/150], Step [200/469], Loss: 184.8105,  Classification Accuracy: 100.00
Epoch: [128/150], Step [300/469], Loss: 184.7297,  Classification Accuracy: 99.22
Epoch: [128/150], Step [400/469], Loss: 180.7064,  Classification Accuracy: 100.00
Epoch: [129/150], Step [100/469], Loss: 182.5061,  Classification Accuracy: 100.00
Epoch: [129/150], Step [200/469], Loss: 186.6537,  Classification Accuracy: 99.22
Epoch: [129/150], Step [300/469], Loss: 184.4077,  Classification Accuracy: 100.00
Epoch: [129/150], Step [400/469], Loss: 170.3977,  Classification Accuracy: 100.00
Epoch: [130/150], Step [100/469], Loss: 177.8941,  Classification Accuracy: 100.00
Epoch: [130/150], Step [200/469], Loss: 192.3963,  Classification Accuracy: 100.00
Epoch: [130/150], Step [300/469], Loss: 180.3645,  Classification Accuracy: 99.22
Epoch: [130/150], Step [400/469], Loss: 186.9149,  Classification Accuracy: 99.22
Epoch: [131/150], Step [100/469], Loss: 182.9839,  Classification Accuracy: 100.00
Epoch: [131/150], Step [200/469], Loss: 180.8121,  Classification Accuracy: 100.00
Epoch: [131/150], Step [300/469], Loss: 180.0713,  Classification Accuracy: 99.22
Epoch: [131/150], Step [400/469], Loss: 186.4677,  Classification Accuracy: 99.22
Epoch: [132/150], Step [100/469], Loss: 182.1525,  Classification Accuracy: 100.00
Epoch: [132/150], Step [200/469], Loss: 180.7651,  Classification Accuracy: 100.00
Epoch: [132/150], Step [300/469], Loss: 182.5681,  Classification Accuracy: 100.00
Epoch: [132/150], Step [400/469], Loss: 179.8358,  Classification Accuracy: 100.00
Epoch: [133/150], Step [100/469], Loss: 179.4410,  Classification Accuracy: 100.00
Epoch: [133/150], Step [200/469], Loss: 184.0417,  Classification Accuracy: 100.00
Epoch: [133/150], Step [300/469], Loss: 192.3175,  Classification Accuracy: 100.00
Epoch: [133/150], Step [400/469], Loss: 194.7912,  Classification Accuracy: 100.00
Epoch: [134/150], Step [100/469], Loss: 184.3965,  Classification Accuracy: 99.22
Epoch: [134/150], Step [200/469], Loss: 179.4408,  Classification Accuracy: 100.00
Epoch: [134/150], Step [300/469], Loss: 180.8753,  Classification Accuracy: 100.00
Epoch: [134/150], Step [400/469], Loss: 181.8967,  Classification Accuracy: 99.22
Epoch: [135/150], Step [100/469], Loss: 177.1218,  Classification Accuracy: 100.00
Epoch: [135/150], Step [200/469], Loss: 179.6131,  Classification Accuracy: 100.00
Epoch: [135/150], Step [300/469], Loss: 182.2294,  Classification Accuracy: 100.00
Epoch: [135/150], Step [400/469], Loss: 177.0953,  Classification Accuracy: 100.00
Epoch: [136/150], Step [100/469], Loss: 185.4613,  Classification Accuracy: 100.00
Epoch: [136/150], Step [200/469], Loss: 173.4694,  Classification Accuracy: 100.00
Epoch: [136/150], Step [300/469], Loss: 179.0348,  Classification Accuracy: 100.00
Epoch: [136/150], Step [400/469], Loss: 179.8700,  Classification Accuracy: 100.00
Epoch: [137/150], Step [100/469], Loss: 179.4455,  Classification Accuracy: 100.00
Epoch: [137/150], Step [200/469], Loss: 186.9023,  Classification Accuracy: 100.00
Epoch: [137/150], Step [300/469], Loss: 187.6431,  Classification Accuracy: 99.22
Epoch: [137/150], Step [400/469], Loss: 181.3878,  Classification Accuracy: 100.00
Epoch: [138/150], Step [100/469], Loss: 181.8282,  Classification Accuracy: 98.44
Epoch: [138/150], Step [200/469], Loss: 184.4706,  Classification Accuracy: 100.00
Epoch: [138/150], Step [300/469], Loss: 183.3532,  Classification Accuracy: 100.00
Epoch: [138/150], Step [400/469], Loss: 183.9628,  Classification Accuracy: 100.00
Epoch: [139/150], Step [100/469], Loss: 183.3352,  Classification Accuracy: 99.22
Epoch: [139/150], Step [200/469], Loss: 183.8828,  Classification Accuracy: 100.00
Epoch: [139/150], Step [300/469], Loss: 178.9740,  Classification Accuracy: 100.00
Epoch: [139/150], Step [400/469], Loss: 182.1627,  Classification Accuracy: 100.00
Epoch: [140/150], Step [100/469], Loss: 180.3329,  Classification Accuracy: 100.00
Epoch: [140/150], Step [200/469], Loss: 182.1098,  Classification Accuracy: 100.00
Epoch: [140/150], Step [300/469], Loss: 184.1955,  Classification Accuracy: 100.00
Epoch: [140/150], Step [400/469], Loss: 179.4146,  Classification Accuracy: 100.00
Epoch: [141/150], Step [100/469], Loss: 191.7699,  Classification Accuracy: 100.00
Epoch: [141/150], Step [200/469], Loss: 188.7690,  Classification Accuracy: 100.00
Epoch: [141/150], Step [300/469], Loss: 184.2384,  Classification Accuracy: 99.22
Epoch: [141/150], Step [400/469], Loss: 183.9262,  Classification Accuracy: 100.00
Epoch: [142/150], Step [100/469], Loss: 181.2896,  Classification Accuracy: 100.00
Epoch: [142/150], Step [200/469], Loss: 187.3702,  Classification Accuracy: 100.00
Epoch: [142/150], Step [300/469], Loss: 177.1962,  Classification Accuracy: 100.00
Epoch: [142/150], Step [400/469], Loss: 181.8917,  Classification Accuracy: 99.22
Epoch: [143/150], Step [100/469], Loss: 187.3385,  Classification Accuracy: 99.22
Epoch: [143/150], Step [200/469], Loss: 180.0004,  Classification Accuracy: 99.22
Epoch: [143/150], Step [300/469], Loss: 176.6439,  Classification Accuracy: 99.22
Epoch: [143/150], Step [400/469], Loss: 180.8005,  Classification Accuracy: 100.00
Epoch: [144/150], Step [100/469], Loss: 179.6567,  Classification Accuracy: 100.00
Epoch: [144/150], Step [200/469], Loss: 179.1658,  Classification Accuracy: 100.00
Epoch: [144/150], Step [300/469], Loss: 177.9623,  Classification Accuracy: 100.00
Epoch: [144/150], Step [400/469], Loss: 182.5389,  Classification Accuracy: 100.00
Epoch: [145/150], Step [100/469], Loss: 175.2137,  Classification Accuracy: 99.22
Epoch: [145/150], Step [200/469], Loss: 176.1751,  Classification Accuracy: 100.00
Epoch: [145/150], Step [300/469], Loss: 170.9290,  Classification Accuracy: 100.00
Epoch: [145/150], Step [400/469], Loss: 176.8850,  Classification Accuracy: 99.22
Epoch: [146/150], Step [100/469], Loss: 186.6671,  Classification Accuracy: 100.00
Epoch: [146/150], Step [200/469], Loss: 185.6446,  Classification Accuracy: 100.00
Epoch: [146/150], Step [300/469], Loss: 179.8671,  Classification Accuracy: 100.00
Epoch: [146/150], Step [400/469], Loss: 188.3704,  Classification Accuracy: 99.22
Epoch: [147/150], Step [100/469], Loss: 183.5592,  Classification Accuracy: 99.22
Epoch: [147/150], Step [200/469], Loss: 193.7210,  Classification Accuracy: 99.22
Epoch: [147/150], Step [300/469], Loss: 176.7537,  Classification Accuracy: 100.00
Epoch: [147/150], Step [400/469], Loss: 181.6348,  Classification Accuracy: 100.00
Epoch: [148/150], Step [100/469], Loss: 190.0250,  Classification Accuracy: 100.00
Epoch: [148/150], Step [200/469], Loss: 180.3878,  Classification Accuracy: 99.22
Epoch: [148/150], Step [300/469], Loss: 180.2341,  Classification Accuracy: 98.44
Epoch: [148/150], Step [400/469], Loss: 181.2871,  Classification Accuracy: 100.00
Epoch: [149/150], Step [100/469], Loss: 182.2610,  Classification Accuracy: 99.22
Epoch: [149/150], Step [200/469], Loss: 181.3079,  Classification Accuracy: 99.22
Epoch: [149/150], Step [300/469], Loss: 189.5524,  Classification Accuracy: 100.00
Epoch: [149/150], Step [400/469], Loss: 186.0835,  Classification Accuracy: 99.22
Accuracy of the network on the 10000 test images: 98.5700 %
The average reconstruction loss on the network is 389824
Lambda: 0.001
Epoch: [0/150], Step [100/469], Loss: 24.0269,  Classification Accuracy: 92.97
Epoch: [0/150], Step [200/469], Loss: 22.6274,  Classification Accuracy: 96.88
Epoch: [0/150], Step [300/469], Loss: 22.6147,  Classification Accuracy: 95.31
Epoch: [0/150], Step [400/469], Loss: 22.9353,  Classification Accuracy: 100.00
Epoch: [1/150], Step [100/469], Loss: 21.4877,  Classification Accuracy: 99.22
Epoch: [1/150], Step [200/469], Loss: 20.7635,  Classification Accuracy: 96.88
Epoch: [1/150], Step [300/469], Loss: 21.1932,  Classification Accuracy: 97.66
Epoch: [1/150], Step [400/469], Loss: 20.6045,  Classification Accuracy: 98.44
Epoch: [2/150], Step [100/469], Loss: 19.7574,  Classification Accuracy: 98.44
Epoch: [2/150], Step [200/469], Loss: 21.0432,  Classification Accuracy: 99.22
Epoch: [2/150], Step [300/469], Loss: 20.9250,  Classification Accuracy: 99.22
Epoch: [2/150], Step [400/469], Loss: 20.3212,  Classification Accuracy: 98.44
Epoch: [3/150], Step [100/469], Loss: 20.7296,  Classification Accuracy: 100.00
Epoch: [3/150], Step [200/469], Loss: 21.1882,  Classification Accuracy: 98.44
Epoch: [3/150], Step [300/469], Loss: 19.7258,  Classification Accuracy: 98.44
Epoch: [3/150], Step [400/469], Loss: 19.7649,  Classification Accuracy: 99.22
Epoch: [4/150], Step [100/469], Loss: 19.5692,  Classification Accuracy: 100.00
Epoch: [4/150], Step [200/469], Loss: 20.8085,  Classification Accuracy: 100.00
Epoch: [4/150], Step [300/469], Loss: 20.5811,  Classification Accuracy: 99.22
Epoch: [4/150], Step [400/469], Loss: 20.8469,  Classification Accuracy: 100.00
Epoch: [5/150], Step [100/469], Loss: 21.0527,  Classification Accuracy: 97.66
Epoch: [5/150], Step [200/469], Loss: 20.1806,  Classification Accuracy: 98.44
Epoch: [5/150], Step [300/469], Loss: 22.1284,  Classification Accuracy: 99.22
Epoch: [5/150], Step [400/469], Loss: 21.6351,  Classification Accuracy: 99.22
Epoch: [6/150], Step [100/469], Loss: 20.1327,  Classification Accuracy: 98.44
Epoch: [6/150], Step [200/469], Loss: 20.5154,  Classification Accuracy: 100.00
Epoch: [6/150], Step [300/469], Loss: 20.9854,  Classification Accuracy: 98.44
Epoch: [6/150], Step [400/469], Loss: 20.9621,  Classification Accuracy: 99.22
Epoch: [7/150], Step [100/469], Loss: 20.7832,  Classification Accuracy: 98.44
Epoch: [7/150], Step [200/469], Loss: 20.1343,  Classification Accuracy: 100.00
Epoch: [7/150], Step [300/469], Loss: 19.2545,  Classification Accuracy: 100.00
Epoch: [7/150], Step [400/469], Loss: 19.9388,  Classification Accuracy: 100.00
Epoch: [8/150], Step [100/469], Loss: 20.7854,  Classification Accuracy: 99.22
Epoch: [8/150], Step [200/469], Loss: 19.6968,  Classification Accuracy: 100.00
Epoch: [8/150], Step [300/469], Loss: 20.1844,  Classification Accuracy: 97.66
Epoch: [8/150], Step [400/469], Loss: 19.8879,  Classification Accuracy: 99.22
Epoch: [9/150], Step [100/469], Loss: 20.2177,  Classification Accuracy: 99.22
Epoch: [9/150], Step [200/469], Loss: 20.5143,  Classification Accuracy: 97.66
Epoch: [9/150], Step [300/469], Loss: 20.6142,  Classification Accuracy: 99.22
Epoch: [9/150], Step [400/469], Loss: 21.4831,  Classification Accuracy: 97.66
Epoch: [10/150], Step [100/469], Loss: 20.4160,  Classification Accuracy: 100.00
Epoch: [10/150], Step [200/469], Loss: 19.2324,  Classification Accuracy: 100.00
Epoch: [10/150], Step [300/469], Loss: 20.3681,  Classification Accuracy: 99.22
Epoch: [10/150], Step [400/469], Loss: 20.1913,  Classification Accuracy: 100.00
Epoch: [11/150], Step [100/469], Loss: 19.0262,  Classification Accuracy: 100.00
Epoch: [11/150], Step [200/469], Loss: 20.0959,  Classification Accuracy: 99.22
Epoch: [11/150], Step [300/469], Loss: 19.8277,  Classification Accuracy: 98.44
Epoch: [11/150], Step [400/469], Loss: 19.8455,  Classification Accuracy: 100.00
Epoch: [12/150], Step [100/469], Loss: 19.7377,  Classification Accuracy: 99.22
Epoch: [12/150], Step [200/469], Loss: 20.1281,  Classification Accuracy: 100.00
Epoch: [12/150], Step [300/469], Loss: 18.6949,  Classification Accuracy: 100.00
Epoch: [12/150], Step [400/469], Loss: 18.3449,  Classification Accuracy: 98.44
Epoch: [13/150], Step [100/469], Loss: 20.0955,  Classification Accuracy: 99.22
Epoch: [13/150], Step [200/469], Loss: 18.7052,  Classification Accuracy: 100.00
Epoch: [13/150], Step [300/469], Loss: 20.1903,  Classification Accuracy: 98.44
Epoch: [13/150], Step [400/469], Loss: 19.6015,  Classification Accuracy: 100.00
Epoch: [14/150], Step [100/469], Loss: 19.2296,  Classification Accuracy: 100.00
Epoch: [14/150], Step [200/469], Loss: 20.4916,  Classification Accuracy: 100.00
Epoch: [14/150], Step [300/469], Loss: 19.9712,  Classification Accuracy: 100.00
Epoch: [14/150], Step [400/469], Loss: 20.8519,  Classification Accuracy: 100.00
Epoch: [15/150], Step [100/469], Loss: 19.6771,  Classification Accuracy: 100.00
Epoch: [15/150], Step [200/469], Loss: 19.3246,  Classification Accuracy: 99.22
Epoch: [15/150], Step [300/469], Loss: 19.4660,  Classification Accuracy: 100.00
Epoch: [15/150], Step [400/469], Loss: 19.6654,  Classification Accuracy: 98.44
Epoch: [16/150], Step [100/469], Loss: 20.7585,  Classification Accuracy: 100.00
Epoch: [16/150], Step [200/469], Loss: 20.3609,  Classification Accuracy: 99.22
Epoch: [16/150], Step [300/469], Loss: 20.4575,  Classification Accuracy: 100.00
Epoch: [16/150], Step [400/469], Loss: 19.6187,  Classification Accuracy: 100.00
Epoch: [17/150], Step [100/469], Loss: 20.2018,  Classification Accuracy: 99.22
Epoch: [17/150], Step [200/469], Loss: 20.0409,  Classification Accuracy: 99.22
Epoch: [17/150], Step [300/469], Loss: 19.8440,  Classification Accuracy: 100.00
Epoch: [17/150], Step [400/469], Loss: 19.2486,  Classification Accuracy: 100.00
Epoch: [18/150], Step [100/469], Loss: 19.2506,  Classification Accuracy: 100.00
Epoch: [18/150], Step [200/469], Loss: 19.4523,  Classification Accuracy: 100.00
Epoch: [18/150], Step [300/469], Loss: 18.8424,  Classification Accuracy: 98.44
Epoch: [18/150], Step [400/469], Loss: 19.4153,  Classification Accuracy: 100.00
Epoch: [19/150], Step [100/469], Loss: 19.7199,  Classification Accuracy: 100.00
Epoch: [19/150], Step [200/469], Loss: 19.7549,  Classification Accuracy: 100.00
Epoch: [19/150], Step [300/469], Loss: 19.5944,  Classification Accuracy: 100.00
Epoch: [19/150], Step [400/469], Loss: 19.2241,  Classification Accuracy: 100.00
Epoch: [20/150], Step [100/469], Loss: 19.7104,  Classification Accuracy: 100.00
Epoch: [20/150], Step [200/469], Loss: 19.1557,  Classification Accuracy: 100.00
Epoch: [20/150], Step [300/469], Loss: 20.1452,  Classification Accuracy: 99.22
Epoch: [20/150], Step [400/469], Loss: 18.9201,  Classification Accuracy: 97.66
Epoch: [21/150], Step [100/469], Loss: 19.6975,  Classification Accuracy: 100.00
Epoch: [21/150], Step [200/469], Loss: 19.8704,  Classification Accuracy: 99.22
Epoch: [21/150], Step [300/469], Loss: 18.7589,  Classification Accuracy: 100.00
Epoch: [21/150], Step [400/469], Loss: 19.1013,  Classification Accuracy: 99.22
Epoch: [22/150], Step [100/469], Loss: 19.5694,  Classification Accuracy: 100.00
Epoch: [22/150], Step [200/469], Loss: 19.2826,  Classification Accuracy: 99.22
Epoch: [22/150], Step [300/469], Loss: 19.9012,  Classification Accuracy: 100.00
Epoch: [22/150], Step [400/469], Loss: 18.9666,  Classification Accuracy: 98.44
Epoch: [23/150], Step [100/469], Loss: 19.9111,  Classification Accuracy: 100.00
Epoch: [23/150], Step [200/469], Loss: 19.8836,  Classification Accuracy: 99.22
Epoch: [23/150], Step [300/469], Loss: 19.3271,  Classification Accuracy: 100.00
Epoch: [23/150], Step [400/469], Loss: 18.8746,  Classification Accuracy: 99.22
Epoch: [24/150], Step [100/469], Loss: 18.4938,  Classification Accuracy: 100.00
Epoch: [24/150], Step [200/469], Loss: 18.3803,  Classification Accuracy: 100.00
Epoch: [24/150], Step [300/469], Loss: 19.8793,  Classification Accuracy: 100.00
Epoch: [24/150], Step [400/469], Loss: 20.1971,  Classification Accuracy: 100.00
Epoch: [25/150], Step [100/469], Loss: 18.5321,  Classification Accuracy: 99.22
Epoch: [25/150], Step [200/469], Loss: 19.2550,  Classification Accuracy: 100.00
Epoch: [25/150], Step [300/469], Loss: 19.6323,  Classification Accuracy: 100.00
Epoch: [25/150], Step [400/469], Loss: 19.8235,  Classification Accuracy: 100.00
Epoch: [26/150], Step [100/469], Loss: 18.3544,  Classification Accuracy: 100.00
Epoch: [26/150], Step [200/469], Loss: 19.7132,  Classification Accuracy: 100.00
Epoch: [26/150], Step [300/469], Loss: 19.4050,  Classification Accuracy: 99.22
Epoch: [26/150], Step [400/469], Loss: 19.5005,  Classification Accuracy: 100.00
Epoch: [27/150], Step [100/469], Loss: 19.3993,  Classification Accuracy: 100.00
Epoch: [27/150], Step [200/469], Loss: 18.7343,  Classification Accuracy: 100.00
Epoch: [27/150], Step [300/469], Loss: 19.3609,  Classification Accuracy: 100.00
Epoch: [27/150], Step [400/469], Loss: 18.8430,  Classification Accuracy: 100.00
Epoch: [28/150], Step [100/469], Loss: 19.3962,  Classification Accuracy: 100.00
Epoch: [28/150], Step [200/469], Loss: 18.7381,  Classification Accuracy: 100.00
Epoch: [28/150], Step [300/469], Loss: 18.6678,  Classification Accuracy: 100.00
Epoch: [28/150], Step [400/469], Loss: 20.0028,  Classification Accuracy: 100.00
Epoch: [29/150], Step [100/469], Loss: 19.1581,  Classification Accuracy: 100.00
Epoch: [29/150], Step [200/469], Loss: 19.2030,  Classification Accuracy: 100.00
Epoch: [29/150], Step [300/469], Loss: 18.2460,  Classification Accuracy: 100.00
Epoch: [29/150], Step [400/469], Loss: 19.1361,  Classification Accuracy: 99.22
Epoch: [30/150], Step [100/469], Loss: 18.8464,  Classification Accuracy: 100.00
Epoch: [30/150], Step [200/469], Loss: 18.5997,  Classification Accuracy: 100.00
Epoch: [30/150], Step [300/469], Loss: 19.5753,  Classification Accuracy: 100.00
Epoch: [30/150], Step [400/469], Loss: 18.1092,  Classification Accuracy: 100.00
Epoch: [31/150], Step [100/469], Loss: 19.4252,  Classification Accuracy: 100.00
Epoch: [31/150], Step [200/469], Loss: 18.5871,  Classification Accuracy: 100.00
Epoch: [31/150], Step [300/469], Loss: 19.2358,  Classification Accuracy: 100.00
Epoch: [31/150], Step [400/469], Loss: 18.2262,  Classification Accuracy: 100.00
Epoch: [32/150], Step [100/469], Loss: 18.4558,  Classification Accuracy: 99.22
Epoch: [32/150], Step [200/469], Loss: 18.6746,  Classification Accuracy: 100.00
Epoch: [32/150], Step [300/469], Loss: 19.2706,  Classification Accuracy: 99.22
Epoch: [32/150], Step [400/469], Loss: 19.2306,  Classification Accuracy: 99.22
Epoch: [33/150], Step [100/469], Loss: 19.3554,  Classification Accuracy: 99.22
Epoch: [33/150], Step [200/469], Loss: 19.7763,  Classification Accuracy: 100.00
Epoch: [33/150], Step [300/469], Loss: 19.3618,  Classification Accuracy: 99.22
Epoch: [33/150], Step [400/469], Loss: 19.4994,  Classification Accuracy: 100.00
Epoch: [34/150], Step [100/469], Loss: 18.6328,  Classification Accuracy: 100.00
Epoch: [34/150], Step [200/469], Loss: 18.6598,  Classification Accuracy: 100.00
Epoch: [34/150], Step [300/469], Loss: 18.7985,  Classification Accuracy: 100.00
Epoch: [34/150], Step [400/469], Loss: 20.0515,  Classification Accuracy: 100.00
Epoch: [35/150], Step [100/469], Loss: 20.3365,  Classification Accuracy: 100.00
Epoch: [35/150], Step [200/469], Loss: 19.3161,  Classification Accuracy: 100.00
Epoch: [35/150], Step [300/469], Loss: 19.0361,  Classification Accuracy: 100.00
Epoch: [35/150], Step [400/469], Loss: 18.9266,  Classification Accuracy: 99.22
Epoch: [36/150], Step [100/469], Loss: 18.0981,  Classification Accuracy: 100.00
Epoch: [36/150], Step [200/469], Loss: 19.8007,  Classification Accuracy: 100.00
Epoch: [36/150], Step [300/469], Loss: 19.6787,  Classification Accuracy: 100.00
Epoch: [36/150], Step [400/469], Loss: 18.7655,  Classification Accuracy: 100.00
Epoch: [37/150], Step [100/469], Loss: 18.6294,  Classification Accuracy: 100.00
Epoch: [37/150], Step [200/469], Loss: 19.8904,  Classification Accuracy: 99.22
Epoch: [37/150], Step [300/469], Loss: 18.6010,  Classification Accuracy: 100.00
Epoch: [37/150], Step [400/469], Loss: 18.4863,  Classification Accuracy: 100.00
Epoch: [38/150], Step [100/469], Loss: 18.9086,  Classification Accuracy: 100.00
Epoch: [38/150], Step [200/469], Loss: 19.4338,  Classification Accuracy: 100.00
Epoch: [38/150], Step [300/469], Loss: 18.3415,  Classification Accuracy: 100.00
Epoch: [38/150], Step [400/469], Loss: 17.9504,  Classification Accuracy: 100.00
Epoch: [39/150], Step [100/469], Loss: 18.6511,  Classification Accuracy: 100.00
Epoch: [39/150], Step [200/469], Loss: 18.4752,  Classification Accuracy: 100.00
Epoch: [39/150], Step [300/469], Loss: 19.5958,  Classification Accuracy: 100.00
Epoch: [39/150], Step [400/469], Loss: 18.8961,  Classification Accuracy: 100.00
Epoch: [40/150], Step [100/469], Loss: 18.1994,  Classification Accuracy: 100.00
Epoch: [40/150], Step [200/469], Loss: 18.4882,  Classification Accuracy: 100.00
Epoch: [40/150], Step [300/469], Loss: 18.8326,  Classification Accuracy: 100.00
Epoch: [40/150], Step [400/469], Loss: 18.6693,  Classification Accuracy: 100.00
Epoch: [41/150], Step [100/469], Loss: 18.8822,  Classification Accuracy: 100.00
Epoch: [41/150], Step [200/469], Loss: 18.0733,  Classification Accuracy: 100.00
Epoch: [41/150], Step [300/469], Loss: 19.5173,  Classification Accuracy: 100.00
Epoch: [41/150], Step [400/469], Loss: 18.4282,  Classification Accuracy: 100.00
Epoch: [42/150], Step [100/469], Loss: 18.8151,  Classification Accuracy: 100.00
Epoch: [42/150], Step [200/469], Loss: 18.6687,  Classification Accuracy: 100.00
Epoch: [42/150], Step [300/469], Loss: 18.2983,  Classification Accuracy: 100.00
Epoch: [42/150], Step [400/469], Loss: 18.7825,  Classification Accuracy: 100.00
Epoch: [43/150], Step [100/469], Loss: 18.6896,  Classification Accuracy: 100.00
Epoch: [43/150], Step [200/469], Loss: 19.2620,  Classification Accuracy: 100.00
Epoch: [43/150], Step [300/469], Loss: 18.8486,  Classification Accuracy: 100.00
Epoch: [43/150], Step [400/469], Loss: 19.3036,  Classification Accuracy: 100.00
Epoch: [44/150], Step [100/469], Loss: 18.5121,  Classification Accuracy: 100.00
Epoch: [44/150], Step [200/469], Loss: 19.1678,  Classification Accuracy: 100.00
Epoch: [44/150], Step [300/469], Loss: 19.3386,  Classification Accuracy: 100.00
Epoch: [44/150], Step [400/469], Loss: 19.3503,  Classification Accuracy: 99.22
Epoch: [45/150], Step [100/469], Loss: 19.4697,  Classification Accuracy: 100.00
Epoch: [45/150], Step [200/469], Loss: 19.0593,  Classification Accuracy: 100.00
Epoch: [45/150], Step [300/469], Loss: 18.5145,  Classification Accuracy: 100.00
Epoch: [45/150], Step [400/469], Loss: 19.7900,  Classification Accuracy: 99.22
Epoch: [46/150], Step [100/469], Loss: 19.5694,  Classification Accuracy: 100.00
Epoch: [46/150], Step [200/469], Loss: 19.3818,  Classification Accuracy: 100.00
Epoch: [46/150], Step [300/469], Loss: 18.8648,  Classification Accuracy: 100.00
Epoch: [46/150], Step [400/469], Loss: 18.1223,  Classification Accuracy: 100.00
Epoch: [47/150], Step [100/469], Loss: 18.7853,  Classification Accuracy: 100.00
Epoch: [47/150], Step [200/469], Loss: 19.0447,  Classification Accuracy: 100.00
Epoch: [47/150], Step [300/469], Loss: 17.4516,  Classification Accuracy: 100.00
Epoch: [47/150], Step [400/469], Loss: 19.4889,  Classification Accuracy: 100.00
Epoch: [48/150], Step [100/469], Loss: 18.6466,  Classification Accuracy: 100.00
Epoch: [48/150], Step [200/469], Loss: 19.2419,  Classification Accuracy: 99.22
Epoch: [48/150], Step [300/469], Loss: 18.9598,  Classification Accuracy: 100.00
Epoch: [48/150], Step [400/469], Loss: 18.6847,  Classification Accuracy: 100.00
Epoch: [49/150], Step [100/469], Loss: 18.4251,  Classification Accuracy: 100.00
Epoch: [49/150], Step [200/469], Loss: 18.7046,  Classification Accuracy: 100.00
Epoch: [49/150], Step [300/469], Loss: 18.5222,  Classification Accuracy: 100.00
Epoch: [49/150], Step [400/469], Loss: 19.0981,  Classification Accuracy: 100.00
Epoch: [50/150], Step [100/469], Loss: 19.1008,  Classification Accuracy: 100.00
Epoch: [50/150], Step [200/469], Loss: 19.1776,  Classification Accuracy: 100.00
Epoch: [50/150], Step [300/469], Loss: 18.2336,  Classification Accuracy: 100.00
Epoch: [50/150], Step [400/469], Loss: 18.4389,  Classification Accuracy: 100.00
Epoch: [51/150], Step [100/469], Loss: 18.6585,  Classification Accuracy: 100.00
Epoch: [51/150], Step [200/469], Loss: 18.3649,  Classification Accuracy: 100.00
Epoch: [51/150], Step [300/469], Loss: 18.0610,  Classification Accuracy: 100.00
Epoch: [51/150], Step [400/469], Loss: 18.6903,  Classification Accuracy: 100.00
Epoch: [52/150], Step [100/469], Loss: 18.3183,  Classification Accuracy: 100.00
Epoch: [52/150], Step [200/469], Loss: 19.4614,  Classification Accuracy: 99.22
Epoch: [52/150], Step [300/469], Loss: 18.9956,  Classification Accuracy: 100.00
Epoch: [52/150], Step [400/469], Loss: 18.5688,  Classification Accuracy: 100.00
Epoch: [53/150], Step [100/469], Loss: 19.3282,  Classification Accuracy: 100.00
Epoch: [53/150], Step [200/469], Loss: 18.1175,  Classification Accuracy: 100.00
Epoch: [53/150], Step [300/469], Loss: 18.9257,  Classification Accuracy: 100.00
Epoch: [53/150], Step [400/469], Loss: 18.8913,  Classification Accuracy: 100.00
Epoch: [54/150], Step [100/469], Loss: 18.0732,  Classification Accuracy: 100.00
Epoch: [54/150], Step [200/469], Loss: 18.9946,  Classification Accuracy: 100.00
Epoch: [54/150], Step [300/469], Loss: 19.1055,  Classification Accuracy: 100.00
Epoch: [54/150], Step [400/469], Loss: 18.5604,  Classification Accuracy: 100.00
Epoch: [55/150], Step [100/469], Loss: 18.3364,  Classification Accuracy: 100.00
Epoch: [55/150], Step [200/469], Loss: 19.1181,  Classification Accuracy: 100.00
Epoch: [55/150], Step [300/469], Loss: 18.7478,  Classification Accuracy: 100.00
Epoch: [55/150], Step [400/469], Loss: 18.8834,  Classification Accuracy: 100.00
Epoch: [56/150], Step [100/469], Loss: 19.2064,  Classification Accuracy: 100.00
Epoch: [56/150], Step [200/469], Loss: 18.4863,  Classification Accuracy: 100.00
Epoch: [56/150], Step [300/469], Loss: 18.9195,  Classification Accuracy: 100.00
Epoch: [56/150], Step [400/469], Loss: 19.2161,  Classification Accuracy: 99.22
Epoch: [57/150], Step [100/469], Loss: 18.0358,  Classification Accuracy: 100.00
Epoch: [57/150], Step [200/469], Loss: 18.9576,  Classification Accuracy: 100.00
Epoch: [57/150], Step [300/469], Loss: 18.4152,  Classification Accuracy: 100.00
Epoch: [57/150], Step [400/469], Loss: 19.0091,  Classification Accuracy: 100.00
Epoch: [58/150], Step [100/469], Loss: 19.3594,  Classification Accuracy: 100.00
Epoch: [58/150], Step [200/469], Loss: 18.4984,  Classification Accuracy: 100.00
Epoch: [58/150], Step [300/469], Loss: 18.1130,  Classification Accuracy: 100.00
Epoch: [58/150], Step [400/469], Loss: 18.6132,  Classification Accuracy: 100.00
Epoch: [59/150], Step [100/469], Loss: 18.7511,  Classification Accuracy: 100.00
Epoch: [59/150], Step [200/469], Loss: 18.9453,  Classification Accuracy: 100.00
Epoch: [59/150], Step [300/469], Loss: 19.0930,  Classification Accuracy: 100.00
Epoch: [59/150], Step [400/469], Loss: 18.2016,  Classification Accuracy: 100.00
Epoch: [60/150], Step [100/469], Loss: 19.3936,  Classification Accuracy: 100.00
Epoch: [60/150], Step [200/469], Loss: 18.1888,  Classification Accuracy: 100.00
Epoch: [60/150], Step [300/469], Loss: 18.2166,  Classification Accuracy: 100.00
Epoch: [60/150], Step [400/469], Loss: 17.9690,  Classification Accuracy: 100.00
Epoch: [61/150], Step [100/469], Loss: 18.4612,  Classification Accuracy: 100.00
Epoch: [61/150], Step [200/469], Loss: 18.8377,  Classification Accuracy: 100.00
Epoch: [61/150], Step [300/469], Loss: 19.1083,  Classification Accuracy: 100.00
Epoch: [61/150], Step [400/469], Loss: 18.5171,  Classification Accuracy: 100.00
Epoch: [62/150], Step [100/469], Loss: 18.5507,  Classification Accuracy: 100.00
Epoch: [62/150], Step [200/469], Loss: 19.1832,  Classification Accuracy: 100.00
Epoch: [62/150], Step [300/469], Loss: 20.0758,  Classification Accuracy: 100.00
Epoch: [62/150], Step [400/469], Loss: 18.4845,  Classification Accuracy: 100.00
Epoch: [63/150], Step [100/469], Loss: 18.6090,  Classification Accuracy: 100.00
Epoch: [63/150], Step [200/469], Loss: 18.8843,  Classification Accuracy: 100.00
Epoch: [63/150], Step [300/469], Loss: 18.5992,  Classification Accuracy: 100.00
Epoch: [63/150], Step [400/469], Loss: 18.8659,  Classification Accuracy: 100.00
Epoch: [64/150], Step [100/469], Loss: 18.7174,  Classification Accuracy: 100.00
Epoch: [64/150], Step [200/469], Loss: 19.1432,  Classification Accuracy: 100.00
Epoch: [64/150], Step [300/469], Loss: 19.2170,  Classification Accuracy: 100.00
Epoch: [64/150], Step [400/469], Loss: 17.5512,  Classification Accuracy: 100.00
Epoch: [65/150], Step [100/469], Loss: 18.4893,  Classification Accuracy: 100.00
Epoch: [65/150], Step [200/469], Loss: 18.0711,  Classification Accuracy: 100.00
Epoch: [65/150], Step [300/469], Loss: 18.5869,  Classification Accuracy: 100.00
Epoch: [65/150], Step [400/469], Loss: 18.1089,  Classification Accuracy: 100.00
Epoch: [66/150], Step [100/469], Loss: 18.9191,  Classification Accuracy: 100.00
Epoch: [66/150], Step [200/469], Loss: 18.6516,  Classification Accuracy: 100.00
Epoch: [66/150], Step [300/469], Loss: 19.0542,  Classification Accuracy: 99.22
Epoch: [66/150], Step [400/469], Loss: 19.4609,  Classification Accuracy: 100.00
Epoch: [67/150], Step [100/469], Loss: 17.9472,  Classification Accuracy: 100.00
Epoch: [67/150], Step [200/469], Loss: 18.1896,  Classification Accuracy: 100.00
Epoch: [67/150], Step [300/469], Loss: 19.3801,  Classification Accuracy: 100.00
Epoch: [67/150], Step [400/469], Loss: 18.1089,  Classification Accuracy: 99.22
Epoch: [68/150], Step [100/469], Loss: 18.3472,  Classification Accuracy: 100.00
Epoch: [68/150], Step [200/469], Loss: 18.1367,  Classification Accuracy: 100.00
Epoch: [68/150], Step [300/469], Loss: 19.6093,  Classification Accuracy: 100.00
Epoch: [68/150], Step [400/469], Loss: 19.0312,  Classification Accuracy: 100.00
Epoch: [69/150], Step [100/469], Loss: 17.7211,  Classification Accuracy: 100.00
Epoch: [69/150], Step [200/469], Loss: 17.9628,  Classification Accuracy: 100.00
Epoch: [69/150], Step [300/469], Loss: 19.1281,  Classification Accuracy: 100.00
Epoch: [69/150], Step [400/469], Loss: 18.5490,  Classification Accuracy: 100.00
Epoch: [70/150], Step [100/469], Loss: 18.4190,  Classification Accuracy: 100.00
Epoch: [70/150], Step [200/469], Loss: 18.6352,  Classification Accuracy: 100.00
Epoch: [70/150], Step [300/469], Loss: 17.7240,  Classification Accuracy: 100.00
Epoch: [70/150], Step [400/469], Loss: 18.4715,  Classification Accuracy: 100.00
Epoch: [71/150], Step [100/469], Loss: 18.9538,  Classification Accuracy: 100.00
Epoch: [71/150], Step [200/469], Loss: 18.5612,  Classification Accuracy: 100.00
Epoch: [71/150], Step [300/469], Loss: 18.3109,  Classification Accuracy: 100.00
Epoch: [71/150], Step [400/469], Loss: 18.6898,  Classification Accuracy: 100.00
Epoch: [72/150], Step [100/469], Loss: 18.1946,  Classification Accuracy: 100.00
Epoch: [72/150], Step [200/469], Loss: 18.2286,  Classification Accuracy: 100.00
Epoch: [72/150], Step [300/469], Loss: 19.4744,  Classification Accuracy: 100.00
Epoch: [72/150], Step [400/469], Loss: 18.4615,  Classification Accuracy: 100.00
Epoch: [73/150], Step [100/469], Loss: 17.7957,  Classification Accuracy: 100.00
Epoch: [73/150], Step [200/469], Loss: 19.6569,  Classification Accuracy: 100.00
Epoch: [73/150], Step [300/469], Loss: 18.5991,  Classification Accuracy: 100.00
Epoch: [73/150], Step [400/469], Loss: 17.7281,  Classification Accuracy: 100.00
Epoch: [74/150], Step [100/469], Loss: 19.3129,  Classification Accuracy: 100.00
Epoch: [74/150], Step [200/469], Loss: 18.1872,  Classification Accuracy: 100.00
Epoch: [74/150], Step [300/469], Loss: 18.4829,  Classification Accuracy: 100.00
Epoch: [74/150], Step [400/469], Loss: 18.6818,  Classification Accuracy: 100.00
Epoch: [75/150], Step [100/469], Loss: 18.8627,  Classification Accuracy: 100.00
Epoch: [75/150], Step [200/469], Loss: 18.5642,  Classification Accuracy: 100.00
Epoch: [75/150], Step [300/469], Loss: 18.4501,  Classification Accuracy: 100.00
Epoch: [75/150], Step [400/469], Loss: 18.8988,  Classification Accuracy: 100.00
Epoch: [76/150], Step [100/469], Loss: 18.4021,  Classification Accuracy: 100.00
Epoch: [76/150], Step [200/469], Loss: 18.9746,  Classification Accuracy: 100.00
Epoch: [76/150], Step [300/469], Loss: 18.4259,  Classification Accuracy: 100.00
Epoch: [76/150], Step [400/469], Loss: 18.6264,  Classification Accuracy: 100.00
Epoch: [77/150], Step [100/469], Loss: 18.4135,  Classification Accuracy: 100.00
Epoch: [77/150], Step [200/469], Loss: 18.3525,  Classification Accuracy: 100.00
Epoch: [77/150], Step [300/469], Loss: 18.3817,  Classification Accuracy: 100.00
Epoch: [77/150], Step [400/469], Loss: 18.7090,  Classification Accuracy: 100.00
Epoch: [78/150], Step [100/469], Loss: 19.3686,  Classification Accuracy: 100.00
Epoch: [78/150], Step [200/469], Loss: 18.6779,  Classification Accuracy: 100.00
Epoch: [78/150], Step [300/469], Loss: 17.4987,  Classification Accuracy: 100.00
Epoch: [78/150], Step [400/469], Loss: 18.6829,  Classification Accuracy: 100.00
Epoch: [79/150], Step [100/469], Loss: 19.1502,  Classification Accuracy: 100.00
Epoch: [79/150], Step [200/469], Loss: 18.5830,  Classification Accuracy: 100.00
Epoch: [79/150], Step [300/469], Loss: 17.7915,  Classification Accuracy: 100.00
Epoch: [79/150], Step [400/469], Loss: 18.7160,  Classification Accuracy: 100.00
Epoch: [80/150], Step [100/469], Loss: 17.6419,  Classification Accuracy: 100.00
Epoch: [80/150], Step [200/469], Loss: 19.1232,  Classification Accuracy: 100.00
Epoch: [80/150], Step [300/469], Loss: 18.3906,  Classification Accuracy: 100.00
Epoch: [80/150], Step [400/469], Loss: 18.8140,  Classification Accuracy: 100.00
Epoch: [81/150], Step [100/469], Loss: 17.9500,  Classification Accuracy: 100.00
Epoch: [81/150], Step [200/469], Loss: 19.3971,  Classification Accuracy: 100.00
Epoch: [81/150], Step [300/469], Loss: 18.7651,  Classification Accuracy: 100.00
Epoch: [81/150], Step [400/469], Loss: 17.8606,  Classification Accuracy: 100.00
Epoch: [82/150], Step [100/469], Loss: 18.3476,  Classification Accuracy: 100.00
Epoch: [82/150], Step [200/469], Loss: 17.9865,  Classification Accuracy: 100.00
Epoch: [82/150], Step [300/469], Loss: 18.1350,  Classification Accuracy: 100.00
Epoch: [82/150], Step [400/469], Loss: 18.3529,  Classification Accuracy: 100.00
Epoch: [83/150], Step [100/469], Loss: 18.2274,  Classification Accuracy: 100.00
Epoch: [83/150], Step [200/469], Loss: 18.1423,  Classification Accuracy: 100.00
Epoch: [83/150], Step [300/469], Loss: 18.5836,  Classification Accuracy: 100.00
Epoch: [83/150], Step [400/469], Loss: 19.1526,  Classification Accuracy: 100.00
Epoch: [84/150], Step [100/469], Loss: 17.7249,  Classification Accuracy: 100.00
Epoch: [84/150], Step [200/469], Loss: 18.5844,  Classification Accuracy: 100.00
Epoch: [84/150], Step [300/469], Loss: 17.6640,  Classification Accuracy: 100.00
Epoch: [84/150], Step [400/469], Loss: 18.9679,  Classification Accuracy: 100.00
Epoch: [85/150], Step [100/469], Loss: 19.7521,  Classification Accuracy: 99.22
Epoch: [85/150], Step [200/469], Loss: 18.2422,  Classification Accuracy: 100.00
Epoch: [85/150], Step [300/469], Loss: 18.7896,  Classification Accuracy: 100.00
Epoch: [85/150], Step [400/469], Loss: 19.4501,  Classification Accuracy: 100.00
Epoch: [86/150], Step [100/469], Loss: 18.7331,  Classification Accuracy: 100.00
Epoch: [86/150], Step [200/469], Loss: 18.9681,  Classification Accuracy: 100.00
Epoch: [86/150], Step [300/469], Loss: 18.8197,  Classification Accuracy: 100.00
Epoch: [86/150], Step [400/469], Loss: 18.1399,  Classification Accuracy: 100.00
Epoch: [87/150], Step [100/469], Loss: 19.0214,  Classification Accuracy: 100.00
Epoch: [87/150], Step [200/469], Loss: 18.1337,  Classification Accuracy: 100.00
Epoch: [87/150], Step [300/469], Loss: 18.6753,  Classification Accuracy: 100.00
Epoch: [87/150], Step [400/469], Loss: 18.8706,  Classification Accuracy: 100.00
Epoch: [88/150], Step [100/469], Loss: 17.6006,  Classification Accuracy: 100.00
Epoch: [88/150], Step [200/469], Loss: 19.2592,  Classification Accuracy: 100.00
Epoch: [88/150], Step [300/469], Loss: 18.4052,  Classification Accuracy: 100.00
Epoch: [88/150], Step [400/469], Loss: 18.7590,  Classification Accuracy: 99.22
Epoch: [89/150], Step [100/469], Loss: 18.4321,  Classification Accuracy: 100.00
Epoch: [89/150], Step [200/469], Loss: 17.3784,  Classification Accuracy: 100.00
Epoch: [89/150], Step [300/469], Loss: 18.7473,  Classification Accuracy: 100.00
Epoch: [89/150], Step [400/469], Loss: 18.3089,  Classification Accuracy: 100.00
Epoch: [90/150], Step [100/469], Loss: 18.8285,  Classification Accuracy: 100.00
Epoch: [90/150], Step [200/469], Loss: 18.3436,  Classification Accuracy: 100.00
Epoch: [90/150], Step [300/469], Loss: 18.8325,  Classification Accuracy: 100.00
Epoch: [90/150], Step [400/469], Loss: 17.5214,  Classification Accuracy: 100.00
Epoch: [91/150], Step [100/469], Loss: 18.7529,  Classification Accuracy: 100.00
Epoch: [91/150], Step [200/469], Loss: 18.3758,  Classification Accuracy: 100.00
Epoch: [91/150], Step [300/469], Loss: 19.0074,  Classification Accuracy: 100.00
Epoch: [91/150], Step [400/469], Loss: 18.3880,  Classification Accuracy: 100.00
Epoch: [92/150], Step [100/469], Loss: 19.0135,  Classification Accuracy: 100.00
Epoch: [92/150], Step [200/469], Loss: 18.4433,  Classification Accuracy: 100.00
Epoch: [92/150], Step [300/469], Loss: 18.3299,  Classification Accuracy: 100.00
Epoch: [92/150], Step [400/469], Loss: 18.7383,  Classification Accuracy: 100.00
Epoch: [93/150], Step [100/469], Loss: 18.3145,  Classification Accuracy: 100.00
Epoch: [93/150], Step [200/469], Loss: 17.1113,  Classification Accuracy: 100.00
Epoch: [93/150], Step [300/469], Loss: 18.2736,  Classification Accuracy: 99.22
Epoch: [93/150], Step [400/469], Loss: 18.0131,  Classification Accuracy: 100.00
Epoch: [94/150], Step [100/469], Loss: 16.9702,  Classification Accuracy: 100.00
Epoch: [94/150], Step [200/469], Loss: 18.5721,  Classification Accuracy: 100.00
Epoch: [94/150], Step [300/469], Loss: 17.8533,  Classification Accuracy: 100.00
Epoch: [94/150], Step [400/469], Loss: 17.9587,  Classification Accuracy: 100.00
Epoch: [95/150], Step [100/469], Loss: 17.5350,  Classification Accuracy: 100.00
Epoch: [95/150], Step [200/469], Loss: 19.2130,  Classification Accuracy: 100.00
Epoch: [95/150], Step [300/469], Loss: 18.6770,  Classification Accuracy: 100.00
Epoch: [95/150], Step [400/469], Loss: 18.5672,  Classification Accuracy: 100.00
Epoch: [96/150], Step [100/469], Loss: 18.5370,  Classification Accuracy: 100.00
Epoch: [96/150], Step [200/469], Loss: 19.1922,  Classification Accuracy: 100.00
Epoch: [96/150], Step [300/469], Loss: 18.4525,  Classification Accuracy: 100.00
Epoch: [96/150], Step [400/469], Loss: 19.2938,  Classification Accuracy: 100.00
Epoch: [97/150], Step [100/469], Loss: 18.1032,  Classification Accuracy: 100.00
Epoch: [97/150], Step [200/469], Loss: 19.1227,  Classification Accuracy: 100.00
Epoch: [97/150], Step [300/469], Loss: 18.1940,  Classification Accuracy: 99.22
Epoch: [97/150], Step [400/469], Loss: 18.1864,  Classification Accuracy: 100.00
Epoch: [98/150], Step [100/469], Loss: 19.3119,  Classification Accuracy: 100.00
Epoch: [98/150], Step [200/469], Loss: 18.4233,  Classification Accuracy: 100.00
Epoch: [98/150], Step [300/469], Loss: 18.1465,  Classification Accuracy: 100.00
Epoch: [98/150], Step [400/469], Loss: 18.2708,  Classification Accuracy: 100.00
Epoch: [99/150], Step [100/469], Loss: 19.5455,  Classification Accuracy: 100.00
Epoch: [99/150], Step [200/469], Loss: 17.9981,  Classification Accuracy: 100.00
Epoch: [99/150], Step [300/469], Loss: 18.4346,  Classification Accuracy: 100.00
Epoch: [99/150], Step [400/469], Loss: 17.7353,  Classification Accuracy: 100.00
Epoch: [100/150], Step [100/469], Loss: 18.8946,  Classification Accuracy: 100.00
Epoch: [100/150], Step [200/469], Loss: 18.1678,  Classification Accuracy: 100.00
Epoch: [100/150], Step [300/469], Loss: 18.2727,  Classification Accuracy: 100.00
Epoch: [100/150], Step [400/469], Loss: 18.6641,  Classification Accuracy: 100.00
Epoch: [101/150], Step [100/469], Loss: 18.3549,  Classification Accuracy: 100.00
Epoch: [101/150], Step [200/469], Loss: 18.9415,  Classification Accuracy: 100.00
Epoch: [101/150], Step [300/469], Loss: 18.8638,  Classification Accuracy: 100.00
Epoch: [101/150], Step [400/469], Loss: 18.6199,  Classification Accuracy: 100.00
Epoch: [102/150], Step [100/469], Loss: 18.4067,  Classification Accuracy: 100.00
Epoch: [102/150], Step [200/469], Loss: 18.8824,  Classification Accuracy: 100.00
Epoch: [102/150], Step [300/469], Loss: 18.9857,  Classification Accuracy: 100.00
Epoch: [102/150], Step [400/469], Loss: 18.1566,  Classification Accuracy: 100.00
Epoch: [103/150], Step [100/469], Loss: 18.9114,  Classification Accuracy: 99.22
Epoch: [103/150], Step [200/469], Loss: 18.0632,  Classification Accuracy: 100.00
Epoch: [103/150], Step [300/469], Loss: 18.6179,  Classification Accuracy: 100.00
Epoch: [103/150], Step [400/469], Loss: 18.5203,  Classification Accuracy: 100.00
Epoch: [104/150], Step [100/469], Loss: 18.5233,  Classification Accuracy: 100.00
Epoch: [104/150], Step [200/469], Loss: 18.0807,  Classification Accuracy: 100.00
Epoch: [104/150], Step [300/469], Loss: 18.0763,  Classification Accuracy: 100.00
Epoch: [104/150], Step [400/469], Loss: 18.7860,  Classification Accuracy: 100.00
Epoch: [105/150], Step [100/469], Loss: 18.4140,  Classification Accuracy: 100.00
Epoch: [105/150], Step [200/469], Loss: 17.3632,  Classification Accuracy: 100.00
Epoch: [105/150], Step [300/469], Loss: 18.2892,  Classification Accuracy: 100.00
Epoch: [105/150], Step [400/469], Loss: 20.0137,  Classification Accuracy: 99.22
Epoch: [106/150], Step [100/469], Loss: 18.5801,  Classification Accuracy: 100.00
Epoch: [106/150], Step [200/469], Loss: 18.5128,  Classification Accuracy: 100.00
Epoch: [106/150], Step [300/469], Loss: 18.1986,  Classification Accuracy: 100.00
Epoch: [106/150], Step [400/469], Loss: 17.7846,  Classification Accuracy: 100.00
Epoch: [107/150], Step [100/469], Loss: 17.9277,  Classification Accuracy: 100.00
Epoch: [107/150], Step [200/469], Loss: 20.1304,  Classification Accuracy: 100.00
Epoch: [107/150], Step [300/469], Loss: 18.8862,  Classification Accuracy: 100.00
Epoch: [107/150], Step [400/469], Loss: 17.5527,  Classification Accuracy: 100.00
Epoch: [108/150], Step [100/469], Loss: 18.9505,  Classification Accuracy: 100.00
Epoch: [108/150], Step [200/469], Loss: 18.4526,  Classification Accuracy: 100.00
Epoch: [108/150], Step [300/469], Loss: 19.0369,  Classification Accuracy: 100.00
Epoch: [108/150], Step [400/469], Loss: 18.7593,  Classification Accuracy: 100.00
Epoch: [109/150], Step [100/469], Loss: 18.1583,  Classification Accuracy: 100.00
Epoch: [109/150], Step [200/469], Loss: 18.3977,  Classification Accuracy: 100.00
Epoch: [109/150], Step [300/469], Loss: 18.2192,  Classification Accuracy: 100.00
Epoch: [109/150], Step [400/469], Loss: 18.7273,  Classification Accuracy: 100.00
Epoch: [110/150], Step [100/469], Loss: 18.6110,  Classification Accuracy: 100.00
Epoch: [110/150], Step [200/469], Loss: 18.2857,  Classification Accuracy: 100.00
Epoch: [110/150], Step [300/469], Loss: 18.3480,  Classification Accuracy: 100.00
Epoch: [110/150], Step [400/469], Loss: 18.7155,  Classification Accuracy: 100.00
Epoch: [111/150], Step [100/469], Loss: 18.3379,  Classification Accuracy: 100.00
Epoch: [111/150], Step [200/469], Loss: 18.8223,  Classification Accuracy: 100.00
Epoch: [111/150], Step [300/469], Loss: 18.6918,  Classification Accuracy: 100.00
Epoch: [111/150], Step [400/469], Loss: 17.7176,  Classification Accuracy: 100.00
Epoch: [112/150], Step [100/469], Loss: 17.6195,  Classification Accuracy: 99.22
Epoch: [112/150], Step [200/469], Loss: 17.9575,  Classification Accuracy: 100.00
Epoch: [112/150], Step [300/469], Loss: 18.0109,  Classification Accuracy: 100.00
Epoch: [112/150], Step [400/469], Loss: 19.1756,  Classification Accuracy: 100.00
Epoch: [113/150], Step [100/469], Loss: 16.8983,  Classification Accuracy: 100.00
Epoch: [113/150], Step [200/469], Loss: 18.2701,  Classification Accuracy: 100.00
Epoch: [113/150], Step [300/469], Loss: 18.0625,  Classification Accuracy: 100.00
Epoch: [113/150], Step [400/469], Loss: 19.3896,  Classification Accuracy: 100.00
Epoch: [114/150], Step [100/469], Loss: 18.6550,  Classification Accuracy: 100.00
Epoch: [114/150], Step [200/469], Loss: 18.4662,  Classification Accuracy: 100.00
Epoch: [114/150], Step [300/469], Loss: 19.1833,  Classification Accuracy: 100.00
Epoch: [114/150], Step [400/469], Loss: 18.5748,  Classification Accuracy: 100.00
Epoch: [115/150], Step [100/469], Loss: 18.0987,  Classification Accuracy: 100.00
Epoch: [115/150], Step [200/469], Loss: 17.9206,  Classification Accuracy: 100.00
Epoch: [115/150], Step [300/469], Loss: 18.8535,  Classification Accuracy: 100.00
Epoch: [115/150], Step [400/469], Loss: 18.1779,  Classification Accuracy: 100.00
Epoch: [116/150], Step [100/469], Loss: 19.9184,  Classification Accuracy: 100.00
Epoch: [116/150], Step [200/469], Loss: 18.1141,  Classification Accuracy: 100.00
Epoch: [116/150], Step [300/469], Loss: 18.0434,  Classification Accuracy: 100.00
Epoch: [116/150], Step [400/469], Loss: 18.4008,  Classification Accuracy: 100.00
Epoch: [117/150], Step [100/469], Loss: 18.5954,  Classification Accuracy: 100.00
Epoch: [117/150], Step [200/469], Loss: 17.5355,  Classification Accuracy: 100.00
Epoch: [117/150], Step [300/469], Loss: 17.8141,  Classification Accuracy: 100.00
Epoch: [117/150], Step [400/469], Loss: 17.8676,  Classification Accuracy: 100.00
Epoch: [118/150], Step [100/469], Loss: 17.7209,  Classification Accuracy: 100.00
Epoch: [118/150], Step [200/469], Loss: 18.6399,  Classification Accuracy: 100.00
Epoch: [118/150], Step [300/469], Loss: 18.8408,  Classification Accuracy: 100.00
Epoch: [118/150], Step [400/469], Loss: 17.5537,  Classification Accuracy: 100.00
Epoch: [119/150], Step [100/469], Loss: 18.1433,  Classification Accuracy: 100.00
Epoch: [119/150], Step [200/469], Loss: 18.1256,  Classification Accuracy: 100.00
Epoch: [119/150], Step [300/469], Loss: 19.0991,  Classification Accuracy: 100.00
Epoch: [119/150], Step [400/469], Loss: 17.6722,  Classification Accuracy: 100.00
Epoch: [120/150], Step [100/469], Loss: 17.5413,  Classification Accuracy: 100.00
Epoch: [120/150], Step [200/469], Loss: 18.5815,  Classification Accuracy: 100.00
Epoch: [120/150], Step [300/469], Loss: 18.8779,  Classification Accuracy: 100.00
Epoch: [120/150], Step [400/469], Loss: 18.8729,  Classification Accuracy: 100.00
Epoch: [121/150], Step [100/469], Loss: 18.0558,  Classification Accuracy: 100.00
Epoch: [121/150], Step [200/469], Loss: 18.8684,  Classification Accuracy: 100.00
Epoch: [121/150], Step [300/469], Loss: 17.1604,  Classification Accuracy: 100.00
Epoch: [121/150], Step [400/469], Loss: 17.9626,  Classification Accuracy: 100.00
Epoch: [122/150], Step [100/469], Loss: 18.2095,  Classification Accuracy: 100.00
Epoch: [122/150], Step [200/469], Loss: 17.5078,  Classification Accuracy: 100.00
Epoch: [122/150], Step [300/469], Loss: 18.2630,  Classification Accuracy: 100.00
Epoch: [122/150], Step [400/469], Loss: 17.9756,  Classification Accuracy: 100.00
Epoch: [123/150], Step [100/469], Loss: 17.4047,  Classification Accuracy: 100.00
Epoch: [123/150], Step [200/469], Loss: 17.4770,  Classification Accuracy: 100.00
Epoch: [123/150], Step [300/469], Loss: 18.6184,  Classification Accuracy: 100.00
Epoch: [123/150], Step [400/469], Loss: 18.0552,  Classification Accuracy: 100.00
Epoch: [124/150], Step [100/469], Loss: 18.6310,  Classification Accuracy: 100.00
Epoch: [124/150], Step [200/469], Loss: 18.2478,  Classification Accuracy: 100.00
Epoch: [124/150], Step [300/469], Loss: 17.0169,  Classification Accuracy: 100.00
Epoch: [124/150], Step [400/469], Loss: 17.3776,  Classification Accuracy: 100.00
Epoch: [125/150], Step [100/469], Loss: 18.6744,  Classification Accuracy: 100.00
Epoch: [125/150], Step [200/469], Loss: 17.9693,  Classification Accuracy: 100.00
Epoch: [125/150], Step [300/469], Loss: 18.3710,  Classification Accuracy: 100.00
Epoch: [125/150], Step [400/469], Loss: 16.9827,  Classification Accuracy: 100.00
Epoch: [126/150], Step [100/469], Loss: 19.0547,  Classification Accuracy: 100.00
Epoch: [126/150], Step [200/469], Loss: 18.3152,  Classification Accuracy: 100.00
Epoch: [126/150], Step [300/469], Loss: 18.1579,  Classification Accuracy: 100.00
Epoch: [126/150], Step [400/469], Loss: 18.3120,  Classification Accuracy: 100.00
Epoch: [127/150], Step [100/469], Loss: 18.4769,  Classification Accuracy: 100.00
Epoch: [127/150], Step [200/469], Loss: 17.5970,  Classification Accuracy: 100.00
Epoch: [127/150], Step [300/469], Loss: 18.5844,  Classification Accuracy: 100.00
Epoch: [127/150], Step [400/469], Loss: 18.0992,  Classification Accuracy: 100.00
Epoch: [128/150], Step [100/469], Loss: 17.7794,  Classification Accuracy: 100.00
Epoch: [128/150], Step [200/469], Loss: 18.6973,  Classification Accuracy: 100.00
Epoch: [128/150], Step [300/469], Loss: 18.1280,  Classification Accuracy: 100.00
Epoch: [128/150], Step [400/469], Loss: 18.0245,  Classification Accuracy: 100.00
Epoch: [129/150], Step [100/469], Loss: 18.7677,  Classification Accuracy: 100.00
Epoch: [129/150], Step [200/469], Loss: 18.1177,  Classification Accuracy: 100.00
Epoch: [129/150], Step [300/469], Loss: 17.9206,  Classification Accuracy: 100.00
Epoch: [129/150], Step [400/469], Loss: 17.4545,  Classification Accuracy: 100.00
Epoch: [130/150], Step [100/469], Loss: 18.8917,  Classification Accuracy: 100.00
Epoch: [130/150], Step [200/469], Loss: 18.0976,  Classification Accuracy: 100.00
Epoch: [130/150], Step [300/469], Loss: 19.0061,  Classification Accuracy: 99.22
Epoch: [130/150], Step [400/469], Loss: 18.8780,  Classification Accuracy: 100.00
Epoch: [131/150], Step [100/469], Loss: 18.0241,  Classification Accuracy: 100.00
Epoch: [131/150], Step [200/469], Loss: 18.1183,  Classification Accuracy: 100.00
Epoch: [131/150], Step [300/469], Loss: 17.9766,  Classification Accuracy: 100.00
Epoch: [131/150], Step [400/469], Loss: 19.1029,  Classification Accuracy: 100.00
Epoch: [132/150], Step [100/469], Loss: 17.3148,  Classification Accuracy: 100.00
Epoch: [132/150], Step [200/469], Loss: 17.9455,  Classification Accuracy: 100.00
Epoch: [132/150], Step [300/469], Loss: 18.2511,  Classification Accuracy: 100.00
Epoch: [132/150], Step [400/469], Loss: 17.9359,  Classification Accuracy: 100.00
Epoch: [133/150], Step [100/469], Loss: 18.2918,  Classification Accuracy: 100.00
Epoch: [133/150], Step [200/469], Loss: 18.3669,  Classification Accuracy: 100.00
Epoch: [133/150], Step [300/469], Loss: 18.3588,  Classification Accuracy: 99.22
Epoch: [133/150], Step [400/469], Loss: 17.8960,  Classification Accuracy: 100.00
Epoch: [134/150], Step [100/469], Loss: 18.1205,  Classification Accuracy: 100.00
Epoch: [134/150], Step [200/469], Loss: 18.9772,  Classification Accuracy: 100.00
Epoch: [134/150], Step [300/469], Loss: 18.1001,  Classification Accuracy: 100.00
Epoch: [134/150], Step [400/469], Loss: 18.3539,  Classification Accuracy: 100.00
Epoch: [135/150], Step [100/469], Loss: 18.9699,  Classification Accuracy: 100.00
Epoch: [135/150], Step [200/469], Loss: 18.1994,  Classification Accuracy: 100.00
Epoch: [135/150], Step [300/469], Loss: 18.4744,  Classification Accuracy: 100.00
Epoch: [135/150], Step [400/469], Loss: 17.8152,  Classification Accuracy: 100.00
Epoch: [136/150], Step [100/469], Loss: 18.3846,  Classification Accuracy: 100.00
Epoch: [136/150], Step [200/469], Loss: 18.6481,  Classification Accuracy: 100.00
Epoch: [136/150], Step [300/469], Loss: 18.4004,  Classification Accuracy: 100.00
Epoch: [136/150], Step [400/469], Loss: 17.5591,  Classification Accuracy: 100.00
Epoch: [137/150], Step [100/469], Loss: 18.0363,  Classification Accuracy: 100.00
Epoch: [137/150], Step [200/469], Loss: 17.7831,  Classification Accuracy: 100.00
Epoch: [137/150], Step [300/469], Loss: 18.4047,  Classification Accuracy: 99.22
Epoch: [137/150], Step [400/469], Loss: 17.9862,  Classification Accuracy: 100.00
Epoch: [138/150], Step [100/469], Loss: 17.4166,  Classification Accuracy: 100.00
Epoch: [138/150], Step [200/469], Loss: 18.9470,  Classification Accuracy: 100.00
Epoch: [138/150], Step [300/469], Loss: 18.7857,  Classification Accuracy: 100.00
Epoch: [138/150], Step [400/469], Loss: 18.4703,  Classification Accuracy: 100.00
Epoch: [139/150], Step [100/469], Loss: 18.6637,  Classification Accuracy: 99.22
Epoch: [139/150], Step [200/469], Loss: 18.1961,  Classification Accuracy: 100.00
Epoch: [139/150], Step [300/469], Loss: 17.4850,  Classification Accuracy: 100.00
Epoch: [139/150], Step [400/469], Loss: 18.2839,  Classification Accuracy: 100.00
Epoch: [140/150], Step [100/469], Loss: 18.2035,  Classification Accuracy: 100.00
Epoch: [140/150], Step [200/469], Loss: 17.2566,  Classification Accuracy: 100.00
Epoch: [140/150], Step [300/469], Loss: 18.6618,  Classification Accuracy: 100.00
Epoch: [140/150], Step [400/469], Loss: 17.5948,  Classification Accuracy: 99.22
Epoch: [141/150], Step [100/469], Loss: 18.2880,  Classification Accuracy: 100.00
Epoch: [141/150], Step [200/469], Loss: 18.6380,  Classification Accuracy: 100.00
Epoch: [141/150], Step [300/469], Loss: 18.1490,  Classification Accuracy: 100.00
Epoch: [141/150], Step [400/469], Loss: 17.8622,  Classification Accuracy: 100.00
Epoch: [142/150], Step [100/469], Loss: 18.2600,  Classification Accuracy: 100.00
Epoch: [142/150], Step [200/469], Loss: 17.7635,  Classification Accuracy: 100.00
Epoch: [142/150], Step [300/469], Loss: 18.0939,  Classification Accuracy: 100.00
Epoch: [142/150], Step [400/469], Loss: 17.4828,  Classification Accuracy: 100.00
Epoch: [143/150], Step [100/469], Loss: 18.2529,  Classification Accuracy: 100.00
Epoch: [143/150], Step [200/469], Loss: 18.4738,  Classification Accuracy: 100.00
Epoch: [143/150], Step [300/469], Loss: 18.9203,  Classification Accuracy: 99.22
Epoch: [143/150], Step [400/469], Loss: 18.5866,  Classification Accuracy: 100.00
Epoch: [144/150], Step [100/469], Loss: 18.9528,  Classification Accuracy: 100.00
Epoch: [144/150], Step [200/469], Loss: 17.9473,  Classification Accuracy: 100.00
Epoch: [144/150], Step [300/469], Loss: 17.1928,  Classification Accuracy: 100.00
Epoch: [144/150], Step [400/469], Loss: 19.0859,  Classification Accuracy: 100.00
Epoch: [145/150], Step [100/469], Loss: 17.6604,  Classification Accuracy: 100.00
Epoch: [145/150], Step [200/469], Loss: 18.6722,  Classification Accuracy: 99.22
Epoch: [145/150], Step [300/469], Loss: 18.1237,  Classification Accuracy: 100.00
Epoch: [145/150], Step [400/469], Loss: 17.5643,  Classification Accuracy: 100.00
Epoch: [146/150], Step [100/469], Loss: 18.7933,  Classification Accuracy: 100.00
Epoch: [146/150], Step [200/469], Loss: 18.5344,  Classification Accuracy: 100.00
Epoch: [146/150], Step [300/469], Loss: 17.7641,  Classification Accuracy: 99.22
Epoch: [146/150], Step [400/469], Loss: 19.3006,  Classification Accuracy: 100.00
Epoch: [147/150], Step [100/469], Loss: 18.2342,  Classification Accuracy: 100.00
Epoch: [147/150], Step [200/469], Loss: 18.1548,  Classification Accuracy: 100.00
Epoch: [147/150], Step [300/469], Loss: 18.9212,  Classification Accuracy: 100.00
Epoch: [147/150], Step [400/469], Loss: 18.3476,  Classification Accuracy: 100.00
Epoch: [148/150], Step [100/469], Loss: 17.4995,  Classification Accuracy: 100.00
Epoch: [148/150], Step [200/469], Loss: 17.8986,  Classification Accuracy: 100.00
Epoch: [148/150], Step [300/469], Loss: 17.6390,  Classification Accuracy: 100.00
Epoch: [148/150], Step [400/469], Loss: 17.8401,  Classification Accuracy: 100.00
Epoch: [149/150], Step [100/469], Loss: 18.2514,  Classification Accuracy: 100.00
Epoch: [149/150], Step [200/469], Loss: 18.4760,  Classification Accuracy: 100.00
Epoch: [149/150], Step [300/469], Loss: 18.2995,  Classification Accuracy: 100.00
Epoch: [149/150], Step [400/469], Loss: 17.6822,  Classification Accuracy: 100.00
Accuracy of the network on the 10000 test images: 99.0000 %
The average reconstruction loss on the network is 370505
Lambda: 0.0001
Epoch: [0/150], Step [100/469], Loss: 2.4774,  Classification Accuracy: 96.09
Epoch: [0/150], Step [200/469], Loss: 2.3391,  Classification Accuracy: 96.09
Epoch: [0/150], Step [300/469], Loss: 2.3163,  Classification Accuracy: 96.09
Epoch: [0/150], Step [400/469], Loss: 2.1829,  Classification Accuracy: 97.66
Epoch: [1/150], Step [100/469], Loss: 2.2251,  Classification Accuracy: 98.44
Epoch: [1/150], Step [200/469], Loss: 2.1869,  Classification Accuracy: 98.44
Epoch: [1/150], Step [300/469], Loss: 2.2803,  Classification Accuracy: 98.44
Epoch: [1/150], Step [400/469], Loss: 2.2475,  Classification Accuracy: 100.00
Epoch: [2/150], Step [100/469], Loss: 2.1801,  Classification Accuracy: 98.44
Epoch: [2/150], Step [200/469], Loss: 2.1026,  Classification Accuracy: 96.88
Epoch: [2/150], Step [300/469], Loss: 2.1235,  Classification Accuracy: 97.66
Epoch: [2/150], Step [400/469], Loss: 2.1637,  Classification Accuracy: 97.66
Epoch: [3/150], Step [100/469], Loss: 2.0665,  Classification Accuracy: 98.44
Epoch: [3/150], Step [200/469], Loss: 2.0545,  Classification Accuracy: 100.00
Epoch: [3/150], Step [300/469], Loss: 2.0339,  Classification Accuracy: 98.44
Epoch: [3/150], Step [400/469], Loss: 2.0394,  Classification Accuracy: 99.22
Epoch: [4/150], Step [100/469], Loss: 1.9782,  Classification Accuracy: 100.00
Epoch: [4/150], Step [200/469], Loss: 2.0847,  Classification Accuracy: 100.00
Epoch: [4/150], Step [300/469], Loss: 1.9700,  Classification Accuracy: 100.00
Epoch: [4/150], Step [400/469], Loss: 1.9905,  Classification Accuracy: 100.00
Epoch: [5/150], Step [100/469], Loss: 2.0713,  Classification Accuracy: 100.00
Epoch: [5/150], Step [200/469], Loss: 2.0567,  Classification Accuracy: 100.00
Epoch: [5/150], Step [300/469], Loss: 2.0788,  Classification Accuracy: 98.44
Epoch: [5/150], Step [400/469], Loss: 2.0626,  Classification Accuracy: 99.22
Epoch: [6/150], Step [100/469], Loss: 1.9857,  Classification Accuracy: 100.00
Epoch: [6/150], Step [200/469], Loss: 2.0185,  Classification Accuracy: 100.00
Epoch: [6/150], Step [300/469], Loss: 1.9154,  Classification Accuracy: 100.00
Epoch: [6/150], Step [400/469], Loss: 1.9921,  Classification Accuracy: 100.00
Epoch: [7/150], Step [100/469], Loss: 1.9635,  Classification Accuracy: 100.00
Epoch: [7/150], Step [200/469], Loss: 2.0506,  Classification Accuracy: 99.22
Epoch: [7/150], Step [300/469], Loss: 2.0234,  Classification Accuracy: 100.00
Epoch: [7/150], Step [400/469], Loss: 1.9857,  Classification Accuracy: 100.00
Epoch: [8/150], Step [100/469], Loss: 2.0402,  Classification Accuracy: 100.00
Epoch: [8/150], Step [200/469], Loss: 2.0519,  Classification Accuracy: 100.00
Epoch: [8/150], Step [300/469], Loss: 1.9571,  Classification Accuracy: 100.00
Epoch: [8/150], Step [400/469], Loss: 1.9959,  Classification Accuracy: 100.00
Epoch: [9/150], Step [100/469], Loss: 1.9197,  Classification Accuracy: 100.00
Epoch: [9/150], Step [200/469], Loss: 1.9890,  Classification Accuracy: 100.00
Epoch: [9/150], Step [300/469], Loss: 2.0139,  Classification Accuracy: 100.00
Epoch: [9/150], Step [400/469], Loss: 2.0758,  Classification Accuracy: 100.00
Epoch: [10/150], Step [100/469], Loss: 2.0364,  Classification Accuracy: 100.00
Epoch: [10/150], Step [200/469], Loss: 2.0744,  Classification Accuracy: 100.00
Epoch: [10/150], Step [300/469], Loss: 2.0659,  Classification Accuracy: 100.00
Epoch: [10/150], Step [400/469], Loss: 1.9765,  Classification Accuracy: 99.22
Epoch: [11/150], Step [100/469], Loss: 1.9818,  Classification Accuracy: 100.00
Epoch: [11/150], Step [200/469], Loss: 1.9035,  Classification Accuracy: 100.00
Epoch: [11/150], Step [300/469], Loss: 1.8771,  Classification Accuracy: 100.00
Epoch: [11/150], Step [400/469], Loss: 1.9851,  Classification Accuracy: 100.00
Epoch: [12/150], Step [100/469], Loss: 1.9999,  Classification Accuracy: 100.00
Epoch: [12/150], Step [200/469], Loss: 1.8667,  Classification Accuracy: 100.00
Epoch: [12/150], Step [300/469], Loss: 1.9451,  Classification Accuracy: 100.00
Epoch: [12/150], Step [400/469], Loss: 1.9002,  Classification Accuracy: 100.00
Epoch: [13/150], Step [100/469], Loss: 1.9372,  Classification Accuracy: 100.00
Epoch: [13/150], Step [200/469], Loss: 2.0101,  Classification Accuracy: 100.00
Epoch: [13/150], Step [300/469], Loss: 1.8847,  Classification Accuracy: 100.00
Epoch: [13/150], Step [400/469], Loss: 1.9466,  Classification Accuracy: 100.00
Epoch: [14/150], Step [100/469], Loss: 1.9486,  Classification Accuracy: 100.00
Epoch: [14/150], Step [200/469], Loss: 1.9416,  Classification Accuracy: 100.00
Epoch: [14/150], Step [300/469], Loss: 2.0551,  Classification Accuracy: 99.22
Epoch: [14/150], Step [400/469], Loss: 2.0228,  Classification Accuracy: 100.00
Epoch: [15/150], Step [100/469], Loss: 1.9511,  Classification Accuracy: 100.00
Epoch: [15/150], Step [200/469], Loss: 2.0317,  Classification Accuracy: 100.00
Epoch: [15/150], Step [300/469], Loss: 2.0078,  Classification Accuracy: 99.22
Epoch: [15/150], Step [400/469], Loss: 2.0207,  Classification Accuracy: 100.00
Epoch: [16/150], Step [100/469], Loss: 1.9566,  Classification Accuracy: 100.00
Epoch: [16/150], Step [200/469], Loss: 1.9831,  Classification Accuracy: 100.00
Epoch: [16/150], Step [300/469], Loss: 1.9364,  Classification Accuracy: 100.00
Epoch: [16/150], Step [400/469], Loss: 1.9272,  Classification Accuracy: 100.00
Epoch: [17/150], Step [100/469], Loss: 1.8660,  Classification Accuracy: 100.00
Epoch: [17/150], Step [200/469], Loss: 2.0376,  Classification Accuracy: 100.00
Epoch: [17/150], Step [300/469], Loss: 1.9833,  Classification Accuracy: 100.00
Epoch: [17/150], Step [400/469], Loss: 1.9806,  Classification Accuracy: 100.00
Epoch: [18/150], Step [100/469], Loss: 1.8936,  Classification Accuracy: 100.00
Epoch: [18/150], Step [200/469], Loss: 1.8671,  Classification Accuracy: 100.00
Epoch: [18/150], Step [300/469], Loss: 1.9852,  Classification Accuracy: 100.00
Epoch: [18/150], Step [400/469], Loss: 2.0853,  Classification Accuracy: 100.00
Epoch: [19/150], Step [100/469], Loss: 2.0089,  Classification Accuracy: 100.00
Epoch: [19/150], Step [200/469], Loss: 1.9069,  Classification Accuracy: 100.00
Epoch: [19/150], Step [300/469], Loss: 1.9595,  Classification Accuracy: 100.00
Epoch: [19/150], Step [400/469], Loss: 1.9300,  Classification Accuracy: 100.00
Epoch: [20/150], Step [100/469], Loss: 2.0942,  Classification Accuracy: 100.00
Epoch: [20/150], Step [200/469], Loss: 1.9466,  Classification Accuracy: 100.00
Epoch: [20/150], Step [300/469], Loss: 1.8683,  Classification Accuracy: 100.00
Epoch: [20/150], Step [400/469], Loss: 1.9416,  Classification Accuracy: 100.00
Epoch: [21/150], Step [100/469], Loss: 1.8774,  Classification Accuracy: 100.00
Epoch: [21/150], Step [200/469], Loss: 2.0120,  Classification Accuracy: 100.00
Epoch: [21/150], Step [300/469], Loss: 2.0742,  Classification Accuracy: 100.00
Epoch: [21/150], Step [400/469], Loss: 1.8812,  Classification Accuracy: 100.00
Epoch: [22/150], Step [100/469], Loss: 1.9845,  Classification Accuracy: 100.00
Epoch: [22/150], Step [200/469], Loss: 1.9121,  Classification Accuracy: 100.00
Epoch: [22/150], Step [300/469], Loss: 1.8290,  Classification Accuracy: 100.00
Epoch: [22/150], Step [400/469], Loss: 2.0202,  Classification Accuracy: 100.00
Epoch: [23/150], Step [100/469], Loss: 1.9877,  Classification Accuracy: 100.00
Epoch: [23/150], Step [200/469], Loss: 1.9964,  Classification Accuracy: 100.00
Epoch: [23/150], Step [300/469], Loss: 1.8504,  Classification Accuracy: 100.00
Epoch: [23/150], Step [400/469], Loss: 1.8857,  Classification Accuracy: 100.00
Epoch: [24/150], Step [100/469], Loss: 1.8991,  Classification Accuracy: 100.00
Epoch: [24/150], Step [200/469], Loss: 1.9040,  Classification Accuracy: 100.00
Epoch: [24/150], Step [300/469], Loss: 1.9443,  Classification Accuracy: 100.00
Epoch: [24/150], Step [400/469], Loss: 1.9277,  Classification Accuracy: 100.00
Epoch: [25/150], Step [100/469], Loss: 2.0105,  Classification Accuracy: 100.00
Epoch: [25/150], Step [200/469], Loss: 1.9641,  Classification Accuracy: 100.00
Epoch: [25/150], Step [300/469], Loss: 1.8505,  Classification Accuracy: 100.00
Epoch: [25/150], Step [400/469], Loss: 1.8989,  Classification Accuracy: 100.00
Epoch: [26/150], Step [100/469], Loss: 1.8672,  Classification Accuracy: 100.00
Epoch: [26/150], Step [200/469], Loss: 1.9139,  Classification Accuracy: 100.00
Epoch: [26/150], Step [300/469], Loss: 1.8704,  Classification Accuracy: 100.00
Epoch: [26/150], Step [400/469], Loss: 1.9627,  Classification Accuracy: 100.00
Epoch: [27/150], Step [100/469], Loss: 1.8653,  Classification Accuracy: 100.00
Epoch: [27/150], Step [200/469], Loss: 1.9346,  Classification Accuracy: 100.00
Epoch: [27/150], Step [300/469], Loss: 1.9025,  Classification Accuracy: 100.00
Epoch: [27/150], Step [400/469], Loss: 1.8213,  Classification Accuracy: 100.00
Epoch: [28/150], Step [100/469], Loss: 1.8661,  Classification Accuracy: 100.00
Epoch: [28/150], Step [200/469], Loss: 1.9500,  Classification Accuracy: 100.00
Epoch: [28/150], Step [300/469], Loss: 1.9126,  Classification Accuracy: 100.00
Epoch: [28/150], Step [400/469], Loss: 1.9439,  Classification Accuracy: 100.00
Epoch: [29/150], Step [100/469], Loss: 1.9069,  Classification Accuracy: 100.00
Epoch: [29/150], Step [200/469], Loss: 1.9046,  Classification Accuracy: 100.00
Epoch: [29/150], Step [300/469], Loss: 1.8762,  Classification Accuracy: 100.00
Epoch: [29/150], Step [400/469], Loss: 1.9436,  Classification Accuracy: 100.00
Epoch: [30/150], Step [100/469], Loss: 1.9274,  Classification Accuracy: 100.00
Epoch: [30/150], Step [200/469], Loss: 1.7638,  Classification Accuracy: 100.00
Epoch: [30/150], Step [300/469], Loss: 1.9196,  Classification Accuracy: 100.00
Epoch: [30/150], Step [400/469], Loss: 1.9219,  Classification Accuracy: 100.00
Epoch: [31/150], Step [100/469], Loss: 1.9104,  Classification Accuracy: 100.00
Epoch: [31/150], Step [200/469], Loss: 1.9047,  Classification Accuracy: 100.00
Epoch: [31/150], Step [300/469], Loss: 1.8107,  Classification Accuracy: 100.00
Epoch: [31/150], Step [400/469], Loss: 1.8803,  Classification Accuracy: 100.00
Epoch: [32/150], Step [100/469], Loss: 1.7689,  Classification Accuracy: 100.00
Epoch: [32/150], Step [200/469], Loss: 1.8826,  Classification Accuracy: 100.00
Epoch: [32/150], Step [300/469], Loss: 2.0256,  Classification Accuracy: 99.22
Epoch: [32/150], Step [400/469], Loss: 1.8383,  Classification Accuracy: 100.00
Epoch: [33/150], Step [100/469], Loss: 1.8974,  Classification Accuracy: 100.00
Epoch: [33/150], Step [200/469], Loss: 1.8763,  Classification Accuracy: 100.00
Epoch: [33/150], Step [300/469], Loss: 1.8940,  Classification Accuracy: 100.00
Epoch: [33/150], Step [400/469], Loss: 1.8578,  Classification Accuracy: 100.00
Epoch: [34/150], Step [100/469], Loss: 1.8846,  Classification Accuracy: 100.00
Epoch: [34/150], Step [200/469], Loss: 1.9997,  Classification Accuracy: 100.00
Epoch: [34/150], Step [300/469], Loss: 1.9481,  Classification Accuracy: 100.00
Epoch: [34/150], Step [400/469], Loss: 1.9417,  Classification Accuracy: 100.00
Epoch: [35/150], Step [100/469], Loss: 1.8126,  Classification Accuracy: 100.00
Epoch: [35/150], Step [200/469], Loss: 1.9186,  Classification Accuracy: 100.00
Epoch: [35/150], Step [300/469], Loss: 1.9231,  Classification Accuracy: 100.00
Epoch: [35/150], Step [400/469], Loss: 1.9467,  Classification Accuracy: 100.00
Epoch: [36/150], Step [100/469], Loss: 1.8801,  Classification Accuracy: 100.00
Epoch: [36/150], Step [200/469], Loss: 1.9395,  Classification Accuracy: 100.00
Epoch: [36/150], Step [300/469], Loss: 1.8148,  Classification Accuracy: 100.00
Epoch: [36/150], Step [400/469], Loss: 1.8840,  Classification Accuracy: 100.00
Epoch: [37/150], Step [100/469], Loss: 1.8788,  Classification Accuracy: 100.00
Epoch: [37/150], Step [200/469], Loss: 1.7772,  Classification Accuracy: 100.00
Epoch: [37/150], Step [300/469], Loss: 1.8258,  Classification Accuracy: 100.00
Epoch: [37/150], Step [400/469], Loss: 2.0094,  Classification Accuracy: 100.00
Epoch: [38/150], Step [100/469], Loss: 1.8545,  Classification Accuracy: 100.00
Epoch: [38/150], Step [200/469], Loss: 1.8923,  Classification Accuracy: 100.00
Epoch: [38/150], Step [300/469], Loss: 1.8906,  Classification Accuracy: 100.00
Epoch: [38/150], Step [400/469], Loss: 1.8975,  Classification Accuracy: 100.00
Epoch: [39/150], Step [100/469], Loss: 1.9051,  Classification Accuracy: 100.00
Epoch: [39/150], Step [200/469], Loss: 1.8364,  Classification Accuracy: 100.00
Epoch: [39/150], Step [300/469], Loss: 1.9424,  Classification Accuracy: 100.00
Epoch: [39/150], Step [400/469], Loss: 1.8427,  Classification Accuracy: 100.00
Epoch: [40/150], Step [100/469], Loss: 1.8380,  Classification Accuracy: 100.00
Epoch: [40/150], Step [200/469], Loss: 1.9033,  Classification Accuracy: 100.00
Epoch: [40/150], Step [300/469], Loss: 1.8278,  Classification Accuracy: 100.00
Epoch: [40/150], Step [400/469], Loss: 1.9182,  Classification Accuracy: 100.00
Epoch: [41/150], Step [100/469], Loss: 1.9556,  Classification Accuracy: 100.00
Epoch: [41/150], Step [200/469], Loss: 1.8059,  Classification Accuracy: 100.00
Epoch: [41/150], Step [300/469], Loss: 1.9065,  Classification Accuracy: 100.00
Epoch: [41/150], Step [400/469], Loss: 1.8155,  Classification Accuracy: 100.00
Epoch: [42/150], Step [100/469], Loss: 1.8367,  Classification Accuracy: 100.00
Epoch: [42/150], Step [200/469], Loss: 1.8600,  Classification Accuracy: 100.00
Epoch: [42/150], Step [300/469], Loss: 1.8914,  Classification Accuracy: 100.00
Epoch: [42/150], Step [400/469], Loss: 1.9891,  Classification Accuracy: 100.00
Epoch: [43/150], Step [100/469], Loss: 1.8150,  Classification Accuracy: 100.00
Epoch: [43/150], Step [200/469], Loss: 1.9995,  Classification Accuracy: 100.00
Epoch: [43/150], Step [300/469], Loss: 1.8901,  Classification Accuracy: 100.00
Epoch: [43/150], Step [400/469], Loss: 1.9395,  Classification Accuracy: 100.00
Epoch: [44/150], Step [100/469], Loss: 1.9350,  Classification Accuracy: 100.00
Epoch: [44/150], Step [200/469], Loss: 1.9588,  Classification Accuracy: 100.00
Epoch: [44/150], Step [300/469], Loss: 1.8793,  Classification Accuracy: 100.00
Epoch: [44/150], Step [400/469], Loss: 1.9615,  Classification Accuracy: 100.00
Epoch: [45/150], Step [100/469], Loss: 1.7403,  Classification Accuracy: 100.00
Epoch: [45/150], Step [200/469], Loss: 1.8662,  Classification Accuracy: 100.00
Epoch: [45/150], Step [300/469], Loss: 1.9164,  Classification Accuracy: 100.00
Epoch: [45/150], Step [400/469], Loss: 1.9050,  Classification Accuracy: 100.00
Epoch: [46/150], Step [100/469], Loss: 1.8201,  Classification Accuracy: 100.00
Epoch: [46/150], Step [200/469], Loss: 1.8649,  Classification Accuracy: 100.00
Epoch: [46/150], Step [300/469], Loss: 1.9631,  Classification Accuracy: 100.00
Epoch: [46/150], Step [400/469], Loss: 1.9260,  Classification Accuracy: 100.00
Epoch: [47/150], Step [100/469], Loss: 1.8454,  Classification Accuracy: 100.00
Epoch: [47/150], Step [200/469], Loss: 1.8913,  Classification Accuracy: 100.00
Epoch: [47/150], Step [300/469], Loss: 1.8853,  Classification Accuracy: 100.00
Epoch: [47/150], Step [400/469], Loss: 1.8387,  Classification Accuracy: 100.00
Epoch: [48/150], Step [100/469], Loss: 1.9188,  Classification Accuracy: 100.00
Epoch: [48/150], Step [200/469], Loss: 1.8353,  Classification Accuracy: 100.00
Epoch: [48/150], Step [300/469], Loss: 1.9858,  Classification Accuracy: 100.00
Epoch: [48/150], Step [400/469], Loss: 1.9536,  Classification Accuracy: 100.00
Epoch: [49/150], Step [100/469], Loss: 1.8886,  Classification Accuracy: 100.00
Epoch: [49/150], Step [200/469], Loss: 2.0033,  Classification Accuracy: 100.00
Epoch: [49/150], Step [300/469], Loss: 1.9060,  Classification Accuracy: 100.00
Epoch: [49/150], Step [400/469], Loss: 1.9014,  Classification Accuracy: 100.00
Epoch: [50/150], Step [100/469], Loss: 1.8849,  Classification Accuracy: 100.00
Epoch: [50/150], Step [200/469], Loss: 1.9326,  Classification Accuracy: 100.00
Epoch: [50/150], Step [300/469], Loss: 1.8654,  Classification Accuracy: 100.00
Epoch: [50/150], Step [400/469], Loss: 1.9860,  Classification Accuracy: 100.00
Epoch: [51/150], Step [100/469], Loss: 1.9942,  Classification Accuracy: 100.00
Epoch: [51/150], Step [200/469], Loss: 1.8957,  Classification Accuracy: 100.00
Epoch: [51/150], Step [300/469], Loss: 1.8849,  Classification Accuracy: 100.00
Epoch: [51/150], Step [400/469], Loss: 1.9415,  Classification Accuracy: 100.00
Epoch: [52/150], Step [100/469], Loss: 1.8698,  Classification Accuracy: 100.00
Epoch: [52/150], Step [200/469], Loss: 1.8871,  Classification Accuracy: 100.00
Epoch: [52/150], Step [300/469], Loss: 1.8435,  Classification Accuracy: 100.00
Epoch: [52/150], Step [400/469], Loss: 1.9347,  Classification Accuracy: 100.00
Epoch: [53/150], Step [100/469], Loss: 1.9780,  Classification Accuracy: 100.00
Epoch: [53/150], Step [200/469], Loss: 1.8849,  Classification Accuracy: 100.00
Epoch: [53/150], Step [300/469], Loss: 1.9158,  Classification Accuracy: 100.00
Epoch: [53/150], Step [400/469], Loss: 1.8578,  Classification Accuracy: 100.00
Epoch: [54/150], Step [100/469], Loss: 1.8812,  Classification Accuracy: 100.00
Epoch: [54/150], Step [200/469], Loss: 1.9838,  Classification Accuracy: 100.00
Epoch: [54/150], Step [300/469], Loss: 1.8982,  Classification Accuracy: 100.00
Epoch: [54/150], Step [400/469], Loss: 1.8485,  Classification Accuracy: 100.00
Epoch: [55/150], Step [100/469], Loss: 1.8170,  Classification Accuracy: 100.00
Epoch: [55/150], Step [200/469], Loss: 1.8556,  Classification Accuracy: 100.00
Epoch: [55/150], Step [300/469], Loss: 1.9542,  Classification Accuracy: 100.00
Epoch: [55/150], Step [400/469], Loss: 1.8606,  Classification Accuracy: 100.00
Epoch: [56/150], Step [100/469], Loss: 1.8772,  Classification Accuracy: 100.00
Epoch: [56/150], Step [200/469], Loss: 1.8978,  Classification Accuracy: 100.00
Epoch: [56/150], Step [300/469], Loss: 1.9018,  Classification Accuracy: 100.00
Epoch: [56/150], Step [400/469], Loss: 1.8488,  Classification Accuracy: 100.00
Epoch: [57/150], Step [100/469], Loss: 1.8847,  Classification Accuracy: 100.00
Epoch: [57/150], Step [200/469], Loss: 1.8938,  Classification Accuracy: 100.00
Epoch: [57/150], Step [300/469], Loss: 1.8555,  Classification Accuracy: 100.00
Epoch: [57/150], Step [400/469], Loss: 1.8897,  Classification Accuracy: 100.00
Epoch: [58/150], Step [100/469], Loss: 1.8195,  Classification Accuracy: 100.00
Epoch: [58/150], Step [200/469], Loss: 1.9178,  Classification Accuracy: 100.00
Epoch: [58/150], Step [300/469], Loss: 1.8435,  Classification Accuracy: 100.00
Epoch: [58/150], Step [400/469], Loss: 1.8496,  Classification Accuracy: 100.00
Epoch: [59/150], Step [100/469], Loss: 1.8762,  Classification Accuracy: 100.00
Epoch: [59/150], Step [200/469], Loss: 1.9894,  Classification Accuracy: 100.00
Epoch: [59/150], Step [300/469], Loss: 1.7731,  Classification Accuracy: 100.00
Epoch: [59/150], Step [400/469], Loss: 1.7973,  Classification Accuracy: 100.00
Epoch: [60/150], Step [100/469], Loss: 1.7073,  Classification Accuracy: 100.00
Epoch: [60/150], Step [200/469], Loss: 1.8659,  Classification Accuracy: 100.00
Epoch: [60/150], Step [300/469], Loss: 1.8410,  Classification Accuracy: 100.00
Epoch: [60/150], Step [400/469], Loss: 1.7694,  Classification Accuracy: 100.00
Epoch: [61/150], Step [100/469], Loss: 1.8567,  Classification Accuracy: 100.00
Epoch: [61/150], Step [200/469], Loss: 1.9755,  Classification Accuracy: 100.00
Epoch: [61/150], Step [300/469], Loss: 1.8089,  Classification Accuracy: 100.00
Epoch: [61/150], Step [400/469], Loss: 1.8602,  Classification Accuracy: 100.00
Epoch: [62/150], Step [100/469], Loss: 1.8285,  Classification Accuracy: 100.00
Epoch: [62/150], Step [200/469], Loss: 1.8726,  Classification Accuracy: 100.00
Epoch: [62/150], Step [300/469], Loss: 1.8707,  Classification Accuracy: 100.00
Epoch: [62/150], Step [400/469], Loss: 1.8662,  Classification Accuracy: 100.00
Epoch: [63/150], Step [100/469], Loss: 1.8538,  Classification Accuracy: 100.00
Epoch: [63/150], Step [200/469], Loss: 1.8345,  Classification Accuracy: 100.00
Epoch: [63/150], Step [300/469], Loss: 1.8460,  Classification Accuracy: 100.00
Epoch: [63/150], Step [400/469], Loss: 1.9191,  Classification Accuracy: 100.00
Epoch: [64/150], Step [100/469], Loss: 1.8345,  Classification Accuracy: 100.00
Epoch: [64/150], Step [200/469], Loss: 1.8756,  Classification Accuracy: 100.00
Epoch: [64/150], Step [300/469], Loss: 1.8276,  Classification Accuracy: 100.00
Epoch: [64/150], Step [400/469], Loss: 1.8056,  Classification Accuracy: 100.00
Epoch: [65/150], Step [100/469], Loss: 1.8065,  Classification Accuracy: 100.00
Epoch: [65/150], Step [200/469], Loss: 1.8751,  Classification Accuracy: 100.00
Epoch: [65/150], Step [300/469], Loss: 1.8396,  Classification Accuracy: 100.00
Epoch: [65/150], Step [400/469], Loss: 1.8628,  Classification Accuracy: 100.00
Epoch: [66/150], Step [100/469], Loss: 1.8756,  Classification Accuracy: 100.00
Epoch: [66/150], Step [200/469], Loss: 1.9223,  Classification Accuracy: 100.00
Epoch: [66/150], Step [300/469], Loss: 1.8813,  Classification Accuracy: 100.00
Epoch: [66/150], Step [400/469], Loss: 1.9174,  Classification Accuracy: 100.00
Epoch: [67/150], Step [100/469], Loss: 1.8961,  Classification Accuracy: 100.00
Epoch: [67/150], Step [200/469], Loss: 1.8140,  Classification Accuracy: 100.00
Epoch: [67/150], Step [300/469], Loss: 1.8028,  Classification Accuracy: 100.00
Epoch: [67/150], Step [400/469], Loss: 1.8968,  Classification Accuracy: 100.00
Epoch: [68/150], Step [100/469], Loss: 1.9159,  Classification Accuracy: 100.00
Epoch: [68/150], Step [200/469], Loss: 1.9225,  Classification Accuracy: 100.00
Epoch: [68/150], Step [300/469], Loss: 1.9428,  Classification Accuracy: 100.00
Epoch: [68/150], Step [400/469], Loss: 1.9284,  Classification Accuracy: 100.00
Epoch: [69/150], Step [100/469], Loss: 1.8772,  Classification Accuracy: 100.00
Epoch: [69/150], Step [200/469], Loss: 1.9143,  Classification Accuracy: 100.00
Epoch: [69/150], Step [300/469], Loss: 1.9249,  Classification Accuracy: 100.00
Epoch: [69/150], Step [400/469], Loss: 1.8895,  Classification Accuracy: 100.00
Epoch: [70/150], Step [100/469], Loss: 1.7594,  Classification Accuracy: 100.00
Epoch: [70/150], Step [200/469], Loss: 1.8263,  Classification Accuracy: 100.00
Epoch: [70/150], Step [300/469], Loss: 1.7938,  Classification Accuracy: 100.00
Epoch: [70/150], Step [400/469], Loss: 1.9865,  Classification Accuracy: 100.00
Epoch: [71/150], Step [100/469], Loss: 1.8560,  Classification Accuracy: 100.00
Epoch: [71/150], Step [200/469], Loss: 1.8004,  Classification Accuracy: 100.00
Epoch: [71/150], Step [300/469], Loss: 1.9876,  Classification Accuracy: 100.00
Epoch: [71/150], Step [400/469], Loss: 1.9346,  Classification Accuracy: 100.00
Epoch: [72/150], Step [100/469], Loss: 1.8287,  Classification Accuracy: 100.00
Epoch: [72/150], Step [200/469], Loss: 1.8527,  Classification Accuracy: 100.00
Epoch: [72/150], Step [300/469], Loss: 1.8742,  Classification Accuracy: 100.00
Epoch: [72/150], Step [400/469], Loss: 1.8411,  Classification Accuracy: 100.00
Epoch: [73/150], Step [100/469], Loss: 1.8512,  Classification Accuracy: 100.00
Epoch: [73/150], Step [200/469], Loss: 1.8997,  Classification Accuracy: 100.00
Epoch: [73/150], Step [300/469], Loss: 1.8991,  Classification Accuracy: 100.00
Epoch: [73/150], Step [400/469], Loss: 1.9184,  Classification Accuracy: 100.00
Epoch: [74/150], Step [100/469], Loss: 1.8410,  Classification Accuracy: 100.00
Epoch: [74/150], Step [200/469], Loss: 1.9022,  Classification Accuracy: 100.00
Epoch: [74/150], Step [300/469], Loss: 1.8107,  Classification Accuracy: 100.00
Epoch: [74/150], Step [400/469], Loss: 1.8738,  Classification Accuracy: 100.00
Epoch: [75/150], Step [100/469], Loss: 1.9089,  Classification Accuracy: 100.00
Epoch: [75/150], Step [200/469], Loss: 1.8530,  Classification Accuracy: 100.00
Epoch: [75/150], Step [300/469], Loss: 1.8777,  Classification Accuracy: 100.00
Epoch: [75/150], Step [400/469], Loss: 1.9585,  Classification Accuracy: 100.00
Epoch: [76/150], Step [100/469], Loss: 1.8271,  Classification Accuracy: 100.00
Epoch: [76/150], Step [200/469], Loss: 1.8439,  Classification Accuracy: 100.00
Epoch: [76/150], Step [300/469], Loss: 1.8925,  Classification Accuracy: 100.00
Epoch: [76/150], Step [400/469], Loss: 1.8544,  Classification Accuracy: 100.00
Epoch: [77/150], Step [100/469], Loss: 1.8471,  Classification Accuracy: 100.00
Epoch: [77/150], Step [200/469], Loss: 1.8835,  Classification Accuracy: 100.00
Epoch: [77/150], Step [300/469], Loss: 1.8728,  Classification Accuracy: 100.00
Epoch: [77/150], Step [400/469], Loss: 2.0017,  Classification Accuracy: 100.00
Epoch: [78/150], Step [100/469], Loss: 1.8343,  Classification Accuracy: 100.00
Epoch: [78/150], Step [200/469], Loss: 1.9673,  Classification Accuracy: 100.00
Epoch: [78/150], Step [300/469], Loss: 1.8130,  Classification Accuracy: 100.00
Epoch: [78/150], Step [400/469], Loss: 2.0333,  Classification Accuracy: 100.00
Epoch: [79/150], Step [100/469], Loss: 1.8990,  Classification Accuracy: 100.00
Epoch: [79/150], Step [200/469], Loss: 1.7654,  Classification Accuracy: 100.00
Epoch: [79/150], Step [300/469], Loss: 1.9171,  Classification Accuracy: 100.00
Epoch: [79/150], Step [400/469], Loss: 1.8507,  Classification Accuracy: 100.00
Epoch: [80/150], Step [100/469], Loss: 1.9644,  Classification Accuracy: 100.00
Epoch: [80/150], Step [200/469], Loss: 1.8538,  Classification Accuracy: 100.00
Epoch: [80/150], Step [300/469], Loss: 1.8248,  Classification Accuracy: 100.00
Epoch: [80/150], Step [400/469], Loss: 1.8856,  Classification Accuracy: 100.00
Epoch: [81/150], Step [100/469], Loss: 1.8280,  Classification Accuracy: 100.00
Epoch: [81/150], Step [200/469], Loss: 1.9625,  Classification Accuracy: 100.00
Epoch: [81/150], Step [300/469], Loss: 1.8437,  Classification Accuracy: 100.00
Epoch: [81/150], Step [400/469], Loss: 1.8250,  Classification Accuracy: 100.00
Epoch: [82/150], Step [100/469], Loss: 1.8406,  Classification Accuracy: 100.00
Epoch: [82/150], Step [200/469], Loss: 1.8872,  Classification Accuracy: 100.00
Epoch: [82/150], Step [300/469], Loss: 1.8900,  Classification Accuracy: 100.00
Epoch: [82/150], Step [400/469], Loss: 1.8948,  Classification Accuracy: 100.00
Epoch: [83/150], Step [100/469], Loss: 1.8249,  Classification Accuracy: 100.00
Epoch: [83/150], Step [200/469], Loss: 1.9364,  Classification Accuracy: 100.00
Epoch: [83/150], Step [300/469], Loss: 1.8482,  Classification Accuracy: 100.00
Epoch: [83/150], Step [400/469], Loss: 1.8239,  Classification Accuracy: 100.00
Epoch: [84/150], Step [100/469], Loss: 1.8782,  Classification Accuracy: 100.00
Epoch: [84/150], Step [200/469], Loss: 1.7999,  Classification Accuracy: 100.00
Epoch: [84/150], Step [300/469], Loss: 1.7446,  Classification Accuracy: 100.00
Epoch: [84/150], Step [400/469], Loss: 1.8161,  Classification Accuracy: 100.00
Epoch: [85/150], Step [100/469], Loss: 1.8530,  Classification Accuracy: 100.00
Epoch: [85/150], Step [200/469], Loss: 1.9344,  Classification Accuracy: 100.00
Epoch: [85/150], Step [300/469], Loss: 1.8575,  Classification Accuracy: 100.00
Epoch: [85/150], Step [400/469], Loss: 1.8816,  Classification Accuracy: 100.00
Epoch: [86/150], Step [100/469], Loss: 1.8032,  Classification Accuracy: 100.00
Epoch: [86/150], Step [200/469], Loss: 1.8923,  Classification Accuracy: 100.00
Epoch: [86/150], Step [300/469], Loss: 1.8319,  Classification Accuracy: 100.00
Epoch: [86/150], Step [400/469], Loss: 1.9021,  Classification Accuracy: 100.00
Epoch: [87/150], Step [100/469], Loss: 1.8248,  Classification Accuracy: 100.00
Epoch: [87/150], Step [200/469], Loss: 1.9202,  Classification Accuracy: 100.00
Epoch: [87/150], Step [300/469], Loss: 1.9126,  Classification Accuracy: 100.00
Epoch: [87/150], Step [400/469], Loss: 1.7891,  Classification Accuracy: 100.00
Epoch: [88/150], Step [100/469], Loss: 1.8086,  Classification Accuracy: 100.00
Epoch: [88/150], Step [200/469], Loss: 1.9126,  Classification Accuracy: 100.00
Epoch: [88/150], Step [300/469], Loss: 1.8884,  Classification Accuracy: 100.00
Epoch: [88/150], Step [400/469], Loss: 1.7851,  Classification Accuracy: 100.00
Epoch: [89/150], Step [100/469], Loss: 1.9053,  Classification Accuracy: 100.00
Epoch: [89/150], Step [200/469], Loss: 1.8145,  Classification Accuracy: 100.00
Epoch: [89/150], Step [300/469], Loss: 1.8924,  Classification Accuracy: 100.00
Epoch: [89/150], Step [400/469], Loss: 1.8637,  Classification Accuracy: 100.00
Epoch: [90/150], Step [100/469], Loss: 2.0393,  Classification Accuracy: 100.00
Epoch: [90/150], Step [200/469], Loss: 1.8346,  Classification Accuracy: 100.00
Epoch: [90/150], Step [300/469], Loss: 1.8610,  Classification Accuracy: 100.00
Epoch: [90/150], Step [400/469], Loss: 1.8576,  Classification Accuracy: 100.00
Epoch: [91/150], Step [100/469], Loss: 1.8920,  Classification Accuracy: 100.00
Epoch: [91/150], Step [200/469], Loss: 1.8594,  Classification Accuracy: 100.00
Epoch: [91/150], Step [300/469], Loss: 1.8805,  Classification Accuracy: 100.00
Epoch: [91/150], Step [400/469], Loss: 1.7991,  Classification Accuracy: 100.00
Epoch: [92/150], Step [100/469], Loss: 1.8198,  Classification Accuracy: 100.00
Epoch: [92/150], Step [200/469], Loss: 1.8902,  Classification Accuracy: 100.00
Epoch: [92/150], Step [300/469], Loss: 1.8400,  Classification Accuracy: 100.00
Epoch: [92/150], Step [400/469], Loss: 1.8786,  Classification Accuracy: 100.00
Epoch: [93/150], Step [100/469], Loss: 1.8803,  Classification Accuracy: 100.00
Epoch: [93/150], Step [200/469], Loss: 1.8229,  Classification Accuracy: 100.00
Epoch: [93/150], Step [300/469], Loss: 1.8519,  Classification Accuracy: 100.00
Epoch: [93/150], Step [400/469], Loss: 1.8653,  Classification Accuracy: 100.00
Epoch: [94/150], Step [100/469], Loss: 1.8466,  Classification Accuracy: 100.00
Epoch: [94/150], Step [200/469], Loss: 1.9302,  Classification Accuracy: 100.00
Epoch: [94/150], Step [300/469], Loss: 1.8272,  Classification Accuracy: 100.00
Epoch: [94/150], Step [400/469], Loss: 1.9459,  Classification Accuracy: 100.00
Epoch: [95/150], Step [100/469], Loss: 1.9253,  Classification Accuracy: 100.00
Epoch: [95/150], Step [200/469], Loss: 1.8574,  Classification Accuracy: 100.00
Epoch: [95/150], Step [300/469], Loss: 1.9175,  Classification Accuracy: 100.00
Epoch: [95/150], Step [400/469], Loss: 1.8902,  Classification Accuracy: 100.00
Epoch: [96/150], Step [100/469], Loss: 1.8651,  Classification Accuracy: 100.00
Epoch: [96/150], Step [200/469], Loss: 1.9680,  Classification Accuracy: 100.00
Epoch: [96/150], Step [300/469], Loss: 1.8897,  Classification Accuracy: 100.00
Epoch: [96/150], Step [400/469], Loss: 1.8714,  Classification Accuracy: 100.00
Epoch: [97/150], Step [100/469], Loss: 1.8870,  Classification Accuracy: 100.00
Epoch: [97/150], Step [200/469], Loss: 1.8426,  Classification Accuracy: 100.00
Epoch: [97/150], Step [300/469], Loss: 1.8043,  Classification Accuracy: 100.00
Epoch: [97/150], Step [400/469], Loss: 1.8727,  Classification Accuracy: 100.00
Epoch: [98/150], Step [100/469], Loss: 1.7832,  Classification Accuracy: 100.00
Epoch: [98/150], Step [200/469], Loss: 1.7850,  Classification Accuracy: 100.00
Epoch: [98/150], Step [300/469], Loss: 1.7763,  Classification Accuracy: 100.00
Epoch: [98/150], Step [400/469], Loss: 1.9323,  Classification Accuracy: 100.00
Epoch: [99/150], Step [100/469], Loss: 1.8019,  Classification Accuracy: 100.00
Epoch: [99/150], Step [200/469], Loss: 1.8331,  Classification Accuracy: 100.00
Epoch: [99/150], Step [300/469], Loss: 1.9188,  Classification Accuracy: 100.00
Epoch: [99/150], Step [400/469], Loss: 1.7418,  Classification Accuracy: 100.00
Epoch: [100/150], Step [100/469], Loss: 1.7420,  Classification Accuracy: 100.00
Epoch: [100/150], Step [200/469], Loss: 1.8240,  Classification Accuracy: 100.00
Epoch: [100/150], Step [300/469], Loss: 1.8761,  Classification Accuracy: 100.00
Epoch: [100/150], Step [400/469], Loss: 1.7974,  Classification Accuracy: 100.00
Epoch: [101/150], Step [100/469], Loss: 1.8610,  Classification Accuracy: 100.00
Epoch: [101/150], Step [200/469], Loss: 1.8291,  Classification Accuracy: 100.00
Epoch: [101/150], Step [300/469], Loss: 1.9048,  Classification Accuracy: 100.00
Epoch: [101/150], Step [400/469], Loss: 1.8352,  Classification Accuracy: 100.00
Epoch: [102/150], Step [100/469], Loss: 1.8215,  Classification Accuracy: 100.00
Epoch: [102/150], Step [200/469], Loss: 1.8369,  Classification Accuracy: 100.00
Epoch: [102/150], Step [300/469], Loss: 1.8215,  Classification Accuracy: 100.00
Epoch: [102/150], Step [400/469], Loss: 1.6991,  Classification Accuracy: 100.00
Epoch: [103/150], Step [100/469], Loss: 1.7791,  Classification Accuracy: 100.00
Epoch: [103/150], Step [200/469], Loss: 1.8435,  Classification Accuracy: 100.00
Epoch: [103/150], Step [300/469], Loss: 1.8935,  Classification Accuracy: 100.00
Epoch: [103/150], Step [400/469], Loss: 1.8444,  Classification Accuracy: 100.00
Epoch: [104/150], Step [100/469], Loss: 1.8759,  Classification Accuracy: 100.00
Epoch: [104/150], Step [200/469], Loss: 1.8954,  Classification Accuracy: 100.00
Epoch: [104/150], Step [300/469], Loss: 1.7646,  Classification Accuracy: 100.00
Epoch: [104/150], Step [400/469], Loss: 1.8733,  Classification Accuracy: 100.00
Epoch: [105/150], Step [100/469], Loss: 1.8197,  Classification Accuracy: 100.00
Epoch: [105/150], Step [200/469], Loss: 1.8949,  Classification Accuracy: 100.00
Epoch: [105/150], Step [300/469], Loss: 1.8193,  Classification Accuracy: 100.00
Epoch: [105/150], Step [400/469], Loss: 1.8076,  Classification Accuracy: 100.00
Epoch: [106/150], Step [100/469], Loss: 1.9083,  Classification Accuracy: 100.00
Epoch: [106/150], Step [200/469], Loss: 1.8787,  Classification Accuracy: 100.00
Epoch: [106/150], Step [300/469], Loss: 1.8621,  Classification Accuracy: 100.00
Epoch: [106/150], Step [400/469], Loss: 1.9162,  Classification Accuracy: 100.00
Epoch: [107/150], Step [100/469], Loss: 1.8240,  Classification Accuracy: 100.00
Epoch: [107/150], Step [200/469], Loss: 1.9382,  Classification Accuracy: 100.00
Epoch: [107/150], Step [300/469], Loss: 1.8821,  Classification Accuracy: 100.00
Epoch: [107/150], Step [400/469], Loss: 1.7971,  Classification Accuracy: 100.00
Epoch: [108/150], Step [100/469], Loss: 1.9263,  Classification Accuracy: 100.00
Epoch: [108/150], Step [200/469], Loss: 1.9538,  Classification Accuracy: 100.00
Epoch: [108/150], Step [300/469], Loss: 1.8558,  Classification Accuracy: 100.00
Epoch: [108/150], Step [400/469], Loss: 1.8698,  Classification Accuracy: 100.00
Epoch: [109/150], Step [100/469], Loss: 1.7929,  Classification Accuracy: 100.00
Epoch: [109/150], Step [200/469], Loss: 1.8559,  Classification Accuracy: 100.00
Epoch: [109/150], Step [300/469], Loss: 1.8320,  Classification Accuracy: 100.00
Epoch: [109/150], Step [400/469], Loss: 1.8593,  Classification Accuracy: 100.00
Epoch: [110/150], Step [100/469], Loss: 1.8008,  Classification Accuracy: 100.00
Epoch: [110/150], Step [200/469], Loss: 1.8495,  Classification Accuracy: 100.00
Epoch: [110/150], Step [300/469], Loss: 1.8474,  Classification Accuracy: 100.00
Epoch: [110/150], Step [400/469], Loss: 1.8982,  Classification Accuracy: 100.00
Epoch: [111/150], Step [100/469], Loss: 1.8273,  Classification Accuracy: 100.00
Epoch: [111/150], Step [200/469], Loss: 1.8200,  Classification Accuracy: 100.00
Epoch: [111/150], Step [300/469], Loss: 1.7719,  Classification Accuracy: 100.00
Epoch: [111/150], Step [400/469], Loss: 1.8197,  Classification Accuracy: 100.00
Epoch: [112/150], Step [100/469], Loss: 1.8425,  Classification Accuracy: 100.00
Epoch: [112/150], Step [200/469], Loss: 1.9143,  Classification Accuracy: 100.00
Epoch: [112/150], Step [300/469], Loss: 1.8212,  Classification Accuracy: 100.00
Epoch: [112/150], Step [400/469], Loss: 1.8426,  Classification Accuracy: 100.00
Epoch: [113/150], Step [100/469], Loss: 1.7501,  Classification Accuracy: 100.00
Epoch: [113/150], Step [200/469], Loss: 1.8283,  Classification Accuracy: 100.00
Epoch: [113/150], Step [300/469], Loss: 1.7328,  Classification Accuracy: 100.00
Epoch: [113/150], Step [400/469], Loss: 1.8953,  Classification Accuracy: 100.00
Epoch: [114/150], Step [100/469], Loss: 1.8749,  Classification Accuracy: 100.00
Epoch: [114/150], Step [200/469], Loss: 1.8881,  Classification Accuracy: 100.00
Epoch: [114/150], Step [300/469], Loss: 1.8328,  Classification Accuracy: 100.00
Epoch: [114/150], Step [400/469], Loss: 1.8620,  Classification Accuracy: 100.00
Epoch: [115/150], Step [100/469], Loss: 1.8605,  Classification Accuracy: 100.00
Epoch: [115/150], Step [200/469], Loss: 1.8552,  Classification Accuracy: 100.00
Epoch: [115/150], Step [300/469], Loss: 1.8762,  Classification Accuracy: 100.00
Epoch: [115/150], Step [400/469], Loss: 1.8597,  Classification Accuracy: 100.00
Epoch: [116/150], Step [100/469], Loss: 1.7839,  Classification Accuracy: 100.00
Epoch: [116/150], Step [200/469], Loss: 1.8011,  Classification Accuracy: 100.00
Epoch: [116/150], Step [300/469], Loss: 1.7743,  Classification Accuracy: 100.00
Epoch: [116/150], Step [400/469], Loss: 1.7774,  Classification Accuracy: 100.00
Epoch: [117/150], Step [100/469], Loss: 1.7779,  Classification Accuracy: 100.00
Epoch: [117/150], Step [200/469], Loss: 1.8572,  Classification Accuracy: 100.00
Epoch: [117/150], Step [300/469], Loss: 1.8913,  Classification Accuracy: 100.00
Epoch: [117/150], Step [400/469], Loss: 1.8835,  Classification Accuracy: 100.00
Epoch: [118/150], Step [100/469], Loss: 1.7790,  Classification Accuracy: 100.00
Epoch: [118/150], Step [200/469], Loss: 1.8384,  Classification Accuracy: 100.00
Epoch: [118/150], Step [300/469], Loss: 1.7988,  Classification Accuracy: 100.00
Epoch: [118/150], Step [400/469], Loss: 1.8449,  Classification Accuracy: 100.00
Epoch: [119/150], Step [100/469], Loss: 1.8379,  Classification Accuracy: 100.00
Epoch: [119/150], Step [200/469], Loss: 1.8162,  Classification Accuracy: 100.00
Epoch: [119/150], Step [300/469], Loss: 1.8747,  Classification Accuracy: 100.00
Epoch: [119/150], Step [400/469], Loss: 1.8501,  Classification Accuracy: 100.00
Epoch: [120/150], Step [100/469], Loss: 1.8858,  Classification Accuracy: 100.00
Epoch: [120/150], Step [200/469], Loss: 1.8171,  Classification Accuracy: 100.00
Epoch: [120/150], Step [300/469], Loss: 1.9125,  Classification Accuracy: 100.00
Epoch: [120/150], Step [400/469], Loss: 1.8247,  Classification Accuracy: 100.00
Epoch: [121/150], Step [100/469], Loss: 1.8345,  Classification Accuracy: 100.00
Epoch: [121/150], Step [200/469], Loss: 1.8363,  Classification Accuracy: 100.00
Epoch: [121/150], Step [300/469], Loss: 1.8540,  Classification Accuracy: 100.00
Epoch: [121/150], Step [400/469], Loss: 1.7754,  Classification Accuracy: 100.00
Epoch: [122/150], Step [100/469], Loss: 1.7912,  Classification Accuracy: 100.00
Epoch: [122/150], Step [200/469], Loss: 1.9096,  Classification Accuracy: 100.00
Epoch: [122/150], Step [300/469], Loss: 1.8296,  Classification Accuracy: 100.00
Epoch: [122/150], Step [400/469], Loss: 1.8476,  Classification Accuracy: 100.00
Epoch: [123/150], Step [100/469], Loss: 1.8685,  Classification Accuracy: 100.00
Epoch: [123/150], Step [200/469], Loss: 1.8579,  Classification Accuracy: 100.00
Epoch: [123/150], Step [300/469], Loss: 1.8297,  Classification Accuracy: 100.00
Epoch: [123/150], Step [400/469], Loss: 1.9785,  Classification Accuracy: 100.00
Epoch: [124/150], Step [100/469], Loss: 1.8931,  Classification Accuracy: 100.00
Epoch: [124/150], Step [200/469], Loss: 1.8079,  Classification Accuracy: 100.00
Epoch: [124/150], Step [300/469], Loss: 1.8381,  Classification Accuracy: 100.00
Epoch: [124/150], Step [400/469], Loss: 1.7699,  Classification Accuracy: 100.00
Epoch: [125/150], Step [100/469], Loss: 1.7568,  Classification Accuracy: 100.00
Epoch: [125/150], Step [200/469], Loss: 1.8823,  Classification Accuracy: 100.00
Epoch: [125/150], Step [300/469], Loss: 1.8921,  Classification Accuracy: 100.00
Epoch: [125/150], Step [400/469], Loss: 1.8874,  Classification Accuracy: 100.00
Epoch: [126/150], Step [100/469], Loss: 1.8076,  Classification Accuracy: 100.00
Epoch: [126/150], Step [200/469], Loss: 1.9267,  Classification Accuracy: 100.00
Epoch: [126/150], Step [300/469], Loss: 1.7862,  Classification Accuracy: 100.00
Epoch: [126/150], Step [400/469], Loss: 1.8806,  Classification Accuracy: 100.00
Epoch: [127/150], Step [100/469], Loss: 1.9064,  Classification Accuracy: 100.00
Epoch: [127/150], Step [200/469], Loss: 1.8884,  Classification Accuracy: 100.00
Epoch: [127/150], Step [300/469], Loss: 1.8357,  Classification Accuracy: 100.00
Epoch: [127/150], Step [400/469], Loss: 1.9523,  Classification Accuracy: 100.00
Epoch: [128/150], Step [100/469], Loss: 1.8325,  Classification Accuracy: 100.00
Epoch: [128/150], Step [200/469], Loss: 1.8978,  Classification Accuracy: 100.00
Epoch: [128/150], Step [300/469], Loss: 1.9677,  Classification Accuracy: 100.00
Epoch: [128/150], Step [400/469], Loss: 1.8756,  Classification Accuracy: 100.00
Epoch: [129/150], Step [100/469], Loss: 1.8902,  Classification Accuracy: 100.00
Epoch: [129/150], Step [200/469], Loss: 1.7856,  Classification Accuracy: 100.00
Epoch: [129/150], Step [300/469], Loss: 1.8750,  Classification Accuracy: 100.00
Epoch: [129/150], Step [400/469], Loss: 1.9157,  Classification Accuracy: 100.00
Epoch: [130/150], Step [100/469], Loss: 1.8573,  Classification Accuracy: 100.00
Epoch: [130/150], Step [200/469], Loss: 1.9395,  Classification Accuracy: 100.00
Epoch: [130/150], Step [300/469], Loss: 1.8569,  Classification Accuracy: 100.00
Epoch: [130/150], Step [400/469], Loss: 1.8840,  Classification Accuracy: 100.00
Epoch: [131/150], Step [100/469], Loss: 1.7862,  Classification Accuracy: 100.00
Epoch: [131/150], Step [200/469], Loss: 1.8534,  Classification Accuracy: 100.00
Epoch: [131/150], Step [300/469], Loss: 1.8542,  Classification Accuracy: 100.00
Epoch: [131/150], Step [400/469], Loss: 1.8863,  Classification Accuracy: 100.00
Epoch: [132/150], Step [100/469], Loss: 1.9395,  Classification Accuracy: 100.00
Epoch: [132/150], Step [200/469], Loss: 1.9065,  Classification Accuracy: 100.00
Epoch: [132/150], Step [300/469], Loss: 1.8422,  Classification Accuracy: 100.00
Epoch: [132/150], Step [400/469], Loss: 1.8281,  Classification Accuracy: 100.00
Epoch: [133/150], Step [100/469], Loss: 1.8547,  Classification Accuracy: 100.00
Epoch: [133/150], Step [200/469], Loss: 1.8330,  Classification Accuracy: 100.00
Epoch: [133/150], Step [300/469], Loss: 1.7615,  Classification Accuracy: 100.00
Epoch: [133/150], Step [400/469], Loss: 1.8075,  Classification Accuracy: 100.00
Epoch: [134/150], Step [100/469], Loss: 1.8202,  Classification Accuracy: 100.00
Epoch: [134/150], Step [200/469], Loss: 1.8119,  Classification Accuracy: 100.00
Epoch: [134/150], Step [300/469], Loss: 1.7582,  Classification Accuracy: 100.00
Epoch: [134/150], Step [400/469], Loss: 1.9081,  Classification Accuracy: 100.00
Epoch: [135/150], Step [100/469], Loss: 1.8769,  Classification Accuracy: 100.00
Epoch: [135/150], Step [200/469], Loss: 1.7807,  Classification Accuracy: 100.00
Epoch: [135/150], Step [300/469], Loss: 1.8774,  Classification Accuracy: 100.00
Epoch: [135/150], Step [400/469], Loss: 1.9274,  Classification Accuracy: 100.00
Epoch: [136/150], Step [100/469], Loss: 1.8541,  Classification Accuracy: 100.00
Epoch: [136/150], Step [200/469], Loss: 1.9392,  Classification Accuracy: 100.00
Epoch: [136/150], Step [300/469], Loss: 1.8134,  Classification Accuracy: 100.00
Epoch: [136/150], Step [400/469], Loss: 1.8859,  Classification Accuracy: 100.00
Epoch: [137/150], Step [100/469], Loss: 1.9180,  Classification Accuracy: 100.00
Epoch: [137/150], Step [200/469], Loss: 1.9003,  Classification Accuracy: 100.00
Epoch: [137/150], Step [300/469], Loss: 1.8697,  Classification Accuracy: 100.00
Epoch: [137/150], Step [400/469], Loss: 1.8200,  Classification Accuracy: 100.00
Epoch: [138/150], Step [100/469], Loss: 1.7907,  Classification Accuracy: 100.00
Epoch: [138/150], Step [200/469], Loss: 1.9089,  Classification Accuracy: 100.00
Epoch: [138/150], Step [300/469], Loss: 1.7833,  Classification Accuracy: 100.00
Epoch: [138/150], Step [400/469], Loss: 1.8618,  Classification Accuracy: 100.00
Epoch: [139/150], Step [100/469], Loss: 1.8587,  Classification Accuracy: 100.00
Epoch: [139/150], Step [200/469], Loss: 1.8631,  Classification Accuracy: 100.00
Epoch: [139/150], Step [300/469], Loss: 1.9063,  Classification Accuracy: 100.00
Epoch: [139/150], Step [400/469], Loss: 1.8235,  Classification Accuracy: 100.00
Epoch: [140/150], Step [100/469], Loss: 1.8678,  Classification Accuracy: 100.00
Epoch: [140/150], Step [200/469], Loss: 1.8065,  Classification Accuracy: 100.00
Epoch: [140/150], Step [300/469], Loss: 1.8077,  Classification Accuracy: 100.00
Epoch: [140/150], Step [400/469], Loss: 1.8406,  Classification Accuracy: 100.00
Epoch: [141/150], Step [100/469], Loss: 1.9296,  Classification Accuracy: 100.00
Epoch: [141/150], Step [200/469], Loss: 1.8272,  Classification Accuracy: 100.00
Epoch: [141/150], Step [300/469], Loss: 1.8166,  Classification Accuracy: 100.00
Epoch: [141/150], Step [400/469], Loss: 1.8953,  Classification Accuracy: 100.00
Epoch: [142/150], Step [100/469], Loss: 1.8265,  Classification Accuracy: 100.00
Epoch: [142/150], Step [200/469], Loss: 1.8574,  Classification Accuracy: 100.00
Epoch: [142/150], Step [300/469], Loss: 1.8603,  Classification Accuracy: 100.00
Epoch: [142/150], Step [400/469], Loss: 1.9051,  Classification Accuracy: 100.00
Epoch: [143/150], Step [100/469], Loss: 1.8559,  Classification Accuracy: 100.00
Epoch: [143/150], Step [200/469], Loss: 1.8559,  Classification Accuracy: 100.00
Epoch: [143/150], Step [300/469], Loss: 1.8395,  Classification Accuracy: 100.00
Epoch: [143/150], Step [400/469], Loss: 1.8186,  Classification Accuracy: 100.00
Epoch: [144/150], Step [100/469], Loss: 1.8515,  Classification Accuracy: 100.00
Epoch: [144/150], Step [200/469], Loss: 1.8746,  Classification Accuracy: 100.00
Epoch: [144/150], Step [300/469], Loss: 1.8766,  Classification Accuracy: 100.00
Epoch: [144/150], Step [400/469], Loss: 1.7643,  Classification Accuracy: 100.00
Epoch: [145/150], Step [100/469], Loss: 1.8675,  Classification Accuracy: 100.00
Epoch: [145/150], Step [200/469], Loss: 1.8802,  Classification Accuracy: 100.00
Epoch: [145/150], Step [300/469], Loss: 1.7794,  Classification Accuracy: 100.00
Epoch: [145/150], Step [400/469], Loss: 1.7115,  Classification Accuracy: 100.00
Epoch: [146/150], Step [100/469], Loss: 1.8465,  Classification Accuracy: 100.00
Epoch: [146/150], Step [200/469], Loss: 1.7979,  Classification Accuracy: 100.00
Epoch: [146/150], Step [300/469], Loss: 1.7862,  Classification Accuracy: 100.00
Epoch: [146/150], Step [400/469], Loss: 1.8938,  Classification Accuracy: 100.00
Epoch: [147/150], Step [100/469], Loss: 1.7975,  Classification Accuracy: 100.00
Epoch: [147/150], Step [200/469], Loss: 1.8627,  Classification Accuracy: 100.00
Epoch: [147/150], Step [300/469], Loss: 1.8377,  Classification Accuracy: 100.00
Epoch: [147/150], Step [400/469], Loss: 1.8945,  Classification Accuracy: 100.00
Epoch: [148/150], Step [100/469], Loss: 1.8582,  Classification Accuracy: 100.00
Epoch: [148/150], Step [200/469], Loss: 1.9035,  Classification Accuracy: 100.00
Epoch: [148/150], Step [300/469], Loss: 1.8750,  Classification Accuracy: 100.00
Epoch: [148/150], Step [400/469], Loss: 1.8352,  Classification Accuracy: 100.00
Epoch: [149/150], Step [100/469], Loss: 1.9078,  Classification Accuracy: 100.00
Epoch: [149/150], Step [200/469], Loss: 1.8461,  Classification Accuracy: 100.00
Epoch: [149/150], Step [300/469], Loss: 1.8121,  Classification Accuracy: 100.00
Epoch: [149/150], Step [400/469], Loss: 1.8530,  Classification Accuracy: 100.00
Accuracy of the network on the 10000 test images: 99.0300 %
The average reconstruction loss on the network is 408082
Lambda: 1e-05
Epoch: [0/150], Step [100/469], Loss: 0.3122,  Classification Accuracy: 99.22
Epoch: [0/150], Step [200/469], Loss: 0.2841,  Classification Accuracy: 98.44
Epoch: [0/150], Step [300/469], Loss: 0.3087,  Classification Accuracy: 98.44
Epoch: [0/150], Step [400/469], Loss: 0.2545,  Classification Accuracy: 99.22
Epoch: [1/150], Step [100/469], Loss: 0.2201,  Classification Accuracy: 100.00
Epoch: [1/150], Step [200/469], Loss: 0.2653,  Classification Accuracy: 99.22
Epoch: [1/150], Step [300/469], Loss: 0.3748,  Classification Accuracy: 98.44
Epoch: [1/150], Step [400/469], Loss: 0.2809,  Classification Accuracy: 97.66
Epoch: [2/150], Step [100/469], Loss: 0.2287,  Classification Accuracy: 99.22
Epoch: [2/150], Step [200/469], Loss: 0.2479,  Classification Accuracy: 99.22
Epoch: [2/150], Step [300/469], Loss: 0.2188,  Classification Accuracy: 100.00
Epoch: [2/150], Step [400/469], Loss: 0.2389,  Classification Accuracy: 99.22
Epoch: [3/150], Step [100/469], Loss: 0.2109,  Classification Accuracy: 100.00
Epoch: [3/150], Step [200/469], Loss: 0.2220,  Classification Accuracy: 100.00
Epoch: [3/150], Step [300/469], Loss: 0.2536,  Classification Accuracy: 98.44
Epoch: [3/150], Step [400/469], Loss: 0.2386,  Classification Accuracy: 99.22
Epoch: [4/150], Step [100/469], Loss: 0.2189,  Classification Accuracy: 99.22
Epoch: [4/150], Step [200/469], Loss: 0.2512,  Classification Accuracy: 98.44
Epoch: [4/150], Step [300/469], Loss: 0.2287,  Classification Accuracy: 100.00
Epoch: [4/150], Step [400/469], Loss: 0.2051,  Classification Accuracy: 100.00
Epoch: [5/150], Step [100/469], Loss: 0.2193,  Classification Accuracy: 99.22
Epoch: [5/150], Step [200/469], Loss: 0.2072,  Classification Accuracy: 100.00
Epoch: [5/150], Step [300/469], Loss: 0.2281,  Classification Accuracy: 99.22
Epoch: [5/150], Step [400/469], Loss: 0.2150,  Classification Accuracy: 100.00
Epoch: [6/150], Step [100/469], Loss: 0.2049,  Classification Accuracy: 100.00
Epoch: [6/150], Step [200/469], Loss: 0.2080,  Classification Accuracy: 100.00
Epoch: [6/150], Step [300/469], Loss: 0.2087,  Classification Accuracy: 100.00
Epoch: [6/150], Step [400/469], Loss: 0.2185,  Classification Accuracy: 100.00
Epoch: [7/150], Step [100/469], Loss: 0.2124,  Classification Accuracy: 100.00
Epoch: [7/150], Step [200/469], Loss: 0.2181,  Classification Accuracy: 100.00
Epoch: [7/150], Step [300/469], Loss: 0.2185,  Classification Accuracy: 100.00
Epoch: [7/150], Step [400/469], Loss: 0.2026,  Classification Accuracy: 100.00
Epoch: [8/150], Step [100/469], Loss: 0.2110,  Classification Accuracy: 100.00
Epoch: [8/150], Step [200/469], Loss: 0.2295,  Classification Accuracy: 99.22
Epoch: [8/150], Step [300/469], Loss: 0.2088,  Classification Accuracy: 100.00
Epoch: [8/150], Step [400/469], Loss: 0.2061,  Classification Accuracy: 100.00
Epoch: [9/150], Step [100/469], Loss: 0.2076,  Classification Accuracy: 100.00
Epoch: [9/150], Step [200/469], Loss: 0.2149,  Classification Accuracy: 100.00
Epoch: [9/150], Step [300/469], Loss: 0.2074,  Classification Accuracy: 100.00
Epoch: [9/150], Step [400/469], Loss: 0.2250,  Classification Accuracy: 99.22
Epoch: [10/150], Step [100/469], Loss: 0.2101,  Classification Accuracy: 100.00
Epoch: [10/150], Step [200/469], Loss: 0.2003,  Classification Accuracy: 100.00
Epoch: [10/150], Step [300/469], Loss: 0.2109,  Classification Accuracy: 100.00
Epoch: [10/150], Step [400/469], Loss: 0.2254,  Classification Accuracy: 99.22
Epoch: [11/150], Step [100/469], Loss: 0.2116,  Classification Accuracy: 100.00
Epoch: [11/150], Step [200/469], Loss: 0.2046,  Classification Accuracy: 100.00
Epoch: [11/150], Step [300/469], Loss: 0.2124,  Classification Accuracy: 100.00
Epoch: [11/150], Step [400/469], Loss: 0.2362,  Classification Accuracy: 98.44
Epoch: [12/150], Step [100/469], Loss: 0.2297,  Classification Accuracy: 99.22
Epoch: [12/150], Step [200/469], Loss: 0.2026,  Classification Accuracy: 100.00
Epoch: [12/150], Step [300/469], Loss: 0.2260,  Classification Accuracy: 100.00
Epoch: [12/150], Step [400/469], Loss: 0.2102,  Classification Accuracy: 99.22
Epoch: [13/150], Step [100/469], Loss: 0.2050,  Classification Accuracy: 100.00
Epoch: [13/150], Step [200/469], Loss: 0.2067,  Classification Accuracy: 100.00
Epoch: [13/150], Step [300/469], Loss: 0.2101,  Classification Accuracy: 100.00
Epoch: [13/150], Step [400/469], Loss: 0.2197,  Classification Accuracy: 100.00
Epoch: [14/150], Step [100/469], Loss: 0.1998,  Classification Accuracy: 100.00
Epoch: [14/150], Step [200/469], Loss: 0.2126,  Classification Accuracy: 100.00
Epoch: [14/150], Step [300/469], Loss: 0.2132,  Classification Accuracy: 100.00
Epoch: [14/150], Step [400/469], Loss: 0.1981,  Classification Accuracy: 100.00
Epoch: [15/150], Step [100/469], Loss: 0.1974,  Classification Accuracy: 100.00
Epoch: [15/150], Step [200/469], Loss: 0.1957,  Classification Accuracy: 100.00
Epoch: [15/150], Step [300/469], Loss: 0.1983,  Classification Accuracy: 100.00
Epoch: [15/150], Step [400/469], Loss: 0.2067,  Classification Accuracy: 100.00
Epoch: [16/150], Step [100/469], Loss: 0.1890,  Classification Accuracy: 100.00
Epoch: [16/150], Step [200/469], Loss: 0.2088,  Classification Accuracy: 100.00
Epoch: [16/150], Step [300/469], Loss: 0.1962,  Classification Accuracy: 100.00
Epoch: [16/150], Step [400/469], Loss: 0.1905,  Classification Accuracy: 100.00
Epoch: [17/150], Step [100/469], Loss: 0.1934,  Classification Accuracy: 100.00
Epoch: [17/150], Step [200/469], Loss: 0.2029,  Classification Accuracy: 100.00
Epoch: [17/150], Step [300/469], Loss: 0.2057,  Classification Accuracy: 100.00
Epoch: [17/150], Step [400/469], Loss: 0.2029,  Classification Accuracy: 100.00
Epoch: [18/150], Step [100/469], Loss: 0.2028,  Classification Accuracy: 100.00
Epoch: [18/150], Step [200/469], Loss: 0.2002,  Classification Accuracy: 100.00
Epoch: [18/150], Step [300/469], Loss: 0.1989,  Classification Accuracy: 100.00
Epoch: [18/150], Step [400/469], Loss: 0.2020,  Classification Accuracy: 100.00
Epoch: [19/150], Step [100/469], Loss: 0.2002,  Classification Accuracy: 100.00
Epoch: [19/150], Step [200/469], Loss: 0.2117,  Classification Accuracy: 100.00
Epoch: [19/150], Step [300/469], Loss: 0.2131,  Classification Accuracy: 99.22
Epoch: [19/150], Step [400/469], Loss: 0.3021,  Classification Accuracy: 98.44
Epoch: [20/150], Step [100/469], Loss: 0.2018,  Classification Accuracy: 100.00
Epoch: [20/150], Step [200/469], Loss: 0.2069,  Classification Accuracy: 100.00
Epoch: [20/150], Step [300/469], Loss: 0.2120,  Classification Accuracy: 99.22
Epoch: [20/150], Step [400/469], Loss: 0.2067,  Classification Accuracy: 100.00
Epoch: [21/150], Step [100/469], Loss: 0.2095,  Classification Accuracy: 100.00
Epoch: [21/150], Step [200/469], Loss: 0.2004,  Classification Accuracy: 100.00
Epoch: [21/150], Step [300/469], Loss: 0.2080,  Classification Accuracy: 100.00
Epoch: [21/150], Step [400/469], Loss: 0.2053,  Classification Accuracy: 100.00
Epoch: [22/150], Step [100/469], Loss: 0.1954,  Classification Accuracy: 100.00
Epoch: [22/150], Step [200/469], Loss: 0.2030,  Classification Accuracy: 100.00
Epoch: [22/150], Step [300/469], Loss: 0.1961,  Classification Accuracy: 100.00
Epoch: [22/150], Step [400/469], Loss: 0.2029,  Classification Accuracy: 100.00
Epoch: [23/150], Step [100/469], Loss: 0.1998,  Classification Accuracy: 100.00
Epoch: [23/150], Step [200/469], Loss: 0.1998,  Classification Accuracy: 100.00
Epoch: [23/150], Step [300/469], Loss: 0.1921,  Classification Accuracy: 100.00
Epoch: [23/150], Step [400/469], Loss: 0.2032,  Classification Accuracy: 100.00
Epoch: [24/150], Step [100/469], Loss: 0.2058,  Classification Accuracy: 100.00
Epoch: [24/150], Step [200/469], Loss: 0.1995,  Classification Accuracy: 100.00
Epoch: [24/150], Step [300/469], Loss: 0.1961,  Classification Accuracy: 100.00
Epoch: [24/150], Step [400/469], Loss: 0.2010,  Classification Accuracy: 100.00
Epoch: [25/150], Step [100/469], Loss: 0.2002,  Classification Accuracy: 100.00
Epoch: [25/150], Step [200/469], Loss: 0.2019,  Classification Accuracy: 100.00
Epoch: [25/150], Step [300/469], Loss: 0.2010,  Classification Accuracy: 100.00
Epoch: [25/150], Step [400/469], Loss: 0.1889,  Classification Accuracy: 100.00
Epoch: [26/150], Step [100/469], Loss: 0.1963,  Classification Accuracy: 100.00
Epoch: [26/150], Step [200/469], Loss: 0.1986,  Classification Accuracy: 100.00
Epoch: [26/150], Step [300/469], Loss: 0.2047,  Classification Accuracy: 100.00
Epoch: [26/150], Step [400/469], Loss: 0.1999,  Classification Accuracy: 100.00
Epoch: [27/150], Step [100/469], Loss: 0.1936,  Classification Accuracy: 100.00
Epoch: [27/150], Step [200/469], Loss: 0.1960,  Classification Accuracy: 100.00
Epoch: [27/150], Step [300/469], Loss: 0.1901,  Classification Accuracy: 100.00
Epoch: [27/150], Step [400/469], Loss: 0.2027,  Classification Accuracy: 100.00
Epoch: [28/150], Step [100/469], Loss: 0.2169,  Classification Accuracy: 100.00
Epoch: [28/150], Step [200/469], Loss: 0.2090,  Classification Accuracy: 100.00
Epoch: [28/150], Step [300/469], Loss: 0.2076,  Classification Accuracy: 100.00
Epoch: [28/150], Step [400/469], Loss: 0.2048,  Classification Accuracy: 100.00
Epoch: [29/150], Step [100/469], Loss: 0.2112,  Classification Accuracy: 99.22
Epoch: [29/150], Step [200/469], Loss: 0.2023,  Classification Accuracy: 100.00
Epoch: [29/150], Step [300/469], Loss: 0.2089,  Classification Accuracy: 100.00
Epoch: [29/150], Step [400/469], Loss: 0.1919,  Classification Accuracy: 100.00
Epoch: [30/150], Step [100/469], Loss: 0.1980,  Classification Accuracy: 100.00
Epoch: [30/150], Step [200/469], Loss: 0.2032,  Classification Accuracy: 100.00
Epoch: [30/150], Step [300/469], Loss: 0.2007,  Classification Accuracy: 100.00
Epoch: [30/150], Step [400/469], Loss: 0.1992,  Classification Accuracy: 100.00
Epoch: [31/150], Step [100/469], Loss: 0.1931,  Classification Accuracy: 100.00
Epoch: [31/150], Step [200/469], Loss: 0.2052,  Classification Accuracy: 100.00
Epoch: [31/150], Step [300/469], Loss: 0.2075,  Classification Accuracy: 100.00
Epoch: [31/150], Step [400/469], Loss: 0.1901,  Classification Accuracy: 100.00
Epoch: [32/150], Step [100/469], Loss: 0.1897,  Classification Accuracy: 100.00
Epoch: [32/150], Step [200/469], Loss: 0.2013,  Classification Accuracy: 100.00
Epoch: [32/150], Step [300/469], Loss: 0.2013,  Classification Accuracy: 100.00
Epoch: [32/150], Step [400/469], Loss: 0.1902,  Classification Accuracy: 100.00
Epoch: [33/150], Step [100/469], Loss: 0.1997,  Classification Accuracy: 100.00
Epoch: [33/150], Step [200/469], Loss: 0.2050,  Classification Accuracy: 100.00
Epoch: [33/150], Step [300/469], Loss: 0.1999,  Classification Accuracy: 100.00
Epoch: [33/150], Step [400/469], Loss: 0.1961,  Classification Accuracy: 100.00
Epoch: [34/150], Step [100/469], Loss: 0.2056,  Classification Accuracy: 100.00
Epoch: [34/150], Step [200/469], Loss: 0.1974,  Classification Accuracy: 100.00
Epoch: [34/150], Step [300/469], Loss: 0.1949,  Classification Accuracy: 100.00
Epoch: [34/150], Step [400/469], Loss: 0.1917,  Classification Accuracy: 100.00
Epoch: [35/150], Step [100/469], Loss: 0.2026,  Classification Accuracy: 100.00
Epoch: [35/150], Step [200/469], Loss: 0.1820,  Classification Accuracy: 100.00
Epoch: [35/150], Step [300/469], Loss: 0.1928,  Classification Accuracy: 100.00
Epoch: [35/150], Step [400/469], Loss: 0.2034,  Classification Accuracy: 100.00
Epoch: [36/150], Step [100/469], Loss: 0.2077,  Classification Accuracy: 99.22
Epoch: [36/150], Step [200/469], Loss: 0.2129,  Classification Accuracy: 100.00
Epoch: [36/150], Step [300/469], Loss: 0.1990,  Classification Accuracy: 100.00
Epoch: [36/150], Step [400/469], Loss: 0.1996,  Classification Accuracy: 100.00
Epoch: [37/150], Step [100/469], Loss: 0.2011,  Classification Accuracy: 100.00
Epoch: [37/150], Step [200/469], Loss: 0.1925,  Classification Accuracy: 100.00
Epoch: [37/150], Step [300/469], Loss: 0.1975,  Classification Accuracy: 100.00
Epoch: [37/150], Step [400/469], Loss: 0.1979,  Classification Accuracy: 100.00
Epoch: [38/150], Step [100/469], Loss: 0.1931,  Classification Accuracy: 100.00
Epoch: [38/150], Step [200/469], Loss: 0.1874,  Classification Accuracy: 100.00
Epoch: [38/150], Step [300/469], Loss: 0.1994,  Classification Accuracy: 100.00
Epoch: [38/150], Step [400/469], Loss: 0.1923,  Classification Accuracy: 100.00
Epoch: [39/150], Step [100/469], Loss: 0.1986,  Classification Accuracy: 100.00
Epoch: [39/150], Step [200/469], Loss: 0.2059,  Classification Accuracy: 100.00
Epoch: [39/150], Step [300/469], Loss: 0.1925,  Classification Accuracy: 100.00
Epoch: [39/150], Step [400/469], Loss: 0.1935,  Classification Accuracy: 100.00
Epoch: [40/150], Step [100/469], Loss: 0.2020,  Classification Accuracy: 100.00
Epoch: [40/150], Step [200/469], Loss: 0.1957,  Classification Accuracy: 100.00
Epoch: [40/150], Step [300/469], Loss: 0.2100,  Classification Accuracy: 100.00
Epoch: [40/150], Step [400/469], Loss: 0.2001,  Classification Accuracy: 100.00
Epoch: [41/150], Step [100/469], Loss: 0.2055,  Classification Accuracy: 100.00
Epoch: [41/150], Step [200/469], Loss: 0.1953,  Classification Accuracy: 100.00
Epoch: [41/150], Step [300/469], Loss: 0.1905,  Classification Accuracy: 100.00
Epoch: [41/150], Step [400/469], Loss: 0.2023,  Classification Accuracy: 100.00
Epoch: [42/150], Step [100/469], Loss: 0.1971,  Classification Accuracy: 100.00
Epoch: [42/150], Step [200/469], Loss: 0.1913,  Classification Accuracy: 100.00
Epoch: [42/150], Step [300/469], Loss: 0.1873,  Classification Accuracy: 100.00
Epoch: [42/150], Step [400/469], Loss: 0.1918,  Classification Accuracy: 100.00
Epoch: [43/150], Step [100/469], Loss: 0.1857,  Classification Accuracy: 100.00
Epoch: [43/150], Step [200/469], Loss: 0.1925,  Classification Accuracy: 100.00
Epoch: [43/150], Step [300/469], Loss: 0.1849,  Classification Accuracy: 100.00
Epoch: [43/150], Step [400/469], Loss: 0.1894,  Classification Accuracy: 100.00
Epoch: [44/150], Step [100/469], Loss: 0.1961,  Classification Accuracy: 100.00
Epoch: [44/150], Step [200/469], Loss: 0.1946,  Classification Accuracy: 100.00
Epoch: [44/150], Step [300/469], Loss: 0.2015,  Classification Accuracy: 99.22
Epoch: [44/150], Step [400/469], Loss: 0.2673,  Classification Accuracy: 99.22
Epoch: [45/150], Step [100/469], Loss: 0.2374,  Classification Accuracy: 99.22
Epoch: [45/150], Step [200/469], Loss: 0.2008,  Classification Accuracy: 100.00
Epoch: [45/150], Step [300/469], Loss: 0.1914,  Classification Accuracy: 100.00
Epoch: [45/150], Step [400/469], Loss: 0.1971,  Classification Accuracy: 100.00
Epoch: [46/150], Step [100/469], Loss: 0.1970,  Classification Accuracy: 100.00
Epoch: [46/150], Step [200/469], Loss: 0.2005,  Classification Accuracy: 100.00
Epoch: [46/150], Step [300/469], Loss: 0.1956,  Classification Accuracy: 100.00
Epoch: [46/150], Step [400/469], Loss: 0.2104,  Classification Accuracy: 100.00
Epoch: [47/150], Step [100/469], Loss: 0.1910,  Classification Accuracy: 100.00
Epoch: [47/150], Step [200/469], Loss: 0.1891,  Classification Accuracy: 100.00
Epoch: [47/150], Step [300/469], Loss: 0.1926,  Classification Accuracy: 100.00
Epoch: [47/150], Step [400/469], Loss: 0.1892,  Classification Accuracy: 100.00
Epoch: [48/150], Step [100/469], Loss: 0.1971,  Classification Accuracy: 100.00
Epoch: [48/150], Step [200/469], Loss: 0.1959,  Classification Accuracy: 100.00
Epoch: [48/150], Step [300/469], Loss: 0.1971,  Classification Accuracy: 100.00
Epoch: [48/150], Step [400/469], Loss: 0.1921,  Classification Accuracy: 100.00
Epoch: [49/150], Step [100/469], Loss: 0.2057,  Classification Accuracy: 100.00
Epoch: [49/150], Step [200/469], Loss: 0.1944,  Classification Accuracy: 100.00
Epoch: [49/150], Step [300/469], Loss: 0.1852,  Classification Accuracy: 100.00
Epoch: [49/150], Step [400/469], Loss: 0.2013,  Classification Accuracy: 100.00
Epoch: [50/150], Step [100/469], Loss: 0.1925,  Classification Accuracy: 100.00
Epoch: [50/150], Step [200/469], Loss: 0.2004,  Classification Accuracy: 100.00
Epoch: [50/150], Step [300/469], Loss: 0.1889,  Classification Accuracy: 100.00
Epoch: [50/150], Step [400/469], Loss: 0.2073,  Classification Accuracy: 100.00
Epoch: [51/150], Step [100/469], Loss: 0.1981,  Classification Accuracy: 100.00
Epoch: [51/150], Step [200/469], Loss: 0.1896,  Classification Accuracy: 100.00
Epoch: [51/150], Step [300/469], Loss: 0.2055,  Classification Accuracy: 100.00
Epoch: [51/150], Step [400/469], Loss: 0.2027,  Classification Accuracy: 100.00
Epoch: [52/150], Step [100/469], Loss: 0.1993,  Classification Accuracy: 100.00
Epoch: [52/150], Step [200/469], Loss: 0.1895,  Classification Accuracy: 100.00
Epoch: [52/150], Step [300/469], Loss: 0.1853,  Classification Accuracy: 100.00
Epoch: [52/150], Step [400/469], Loss: 0.2013,  Classification Accuracy: 100.00
Epoch: [53/150], Step [100/469], Loss: 0.2110,  Classification Accuracy: 100.00
Epoch: [53/150], Step [200/469], Loss: 0.1931,  Classification Accuracy: 100.00
Epoch: [53/150], Step [300/469], Loss: 0.2029,  Classification Accuracy: 100.00
Epoch: [53/150], Step [400/469], Loss: 0.2120,  Classification Accuracy: 100.00
Epoch: [54/150], Step [100/469], Loss: 0.2002,  Classification Accuracy: 100.00
Epoch: [54/150], Step [200/469], Loss: 0.2028,  Classification Accuracy: 100.00
Epoch: [54/150], Step [300/469], Loss: 0.1932,  Classification Accuracy: 100.00
Epoch: [54/150], Step [400/469], Loss: 0.2013,  Classification Accuracy: 100.00
Epoch: [55/150], Step [100/469], Loss: 0.1956,  Classification Accuracy: 100.00
Epoch: [55/150], Step [200/469], Loss: 0.1911,  Classification Accuracy: 100.00
Epoch: [55/150], Step [300/469], Loss: 0.2002,  Classification Accuracy: 100.00
Epoch: [55/150], Step [400/469], Loss: 0.1935,  Classification Accuracy: 100.00
Epoch: [56/150], Step [100/469], Loss: 0.1874,  Classification Accuracy: 100.00
Epoch: [56/150], Step [200/469], Loss: 0.1936,  Classification Accuracy: 100.00
Epoch: [56/150], Step [300/469], Loss: 0.1830,  Classification Accuracy: 100.00
Epoch: [56/150], Step [400/469], Loss: 0.1978,  Classification Accuracy: 100.00
Epoch: [57/150], Step [100/469], Loss: 0.1987,  Classification Accuracy: 100.00
Epoch: [57/150], Step [200/469], Loss: 0.2028,  Classification Accuracy: 100.00
Epoch: [57/150], Step [300/469], Loss: 0.2033,  Classification Accuracy: 100.00
Epoch: [57/150], Step [400/469], Loss: 0.1940,  Classification Accuracy: 100.00
Epoch: [58/150], Step [100/469], Loss: 0.1958,  Classification Accuracy: 100.00
Epoch: [58/150], Step [200/469], Loss: 0.2032,  Classification Accuracy: 100.00
Epoch: [58/150], Step [300/469], Loss: 0.1986,  Classification Accuracy: 100.00
Epoch: [58/150], Step [400/469], Loss: 0.1946,  Classification Accuracy: 100.00
Epoch: [59/150], Step [100/469], Loss: 0.1916,  Classification Accuracy: 100.00
Epoch: [59/150], Step [200/469], Loss: 0.1902,  Classification Accuracy: 100.00
Epoch: [59/150], Step [300/469], Loss: 0.1911,  Classification Accuracy: 100.00
Epoch: [59/150], Step [400/469], Loss: 0.1853,  Classification Accuracy: 100.00
Epoch: [60/150], Step [100/469], Loss: 0.1946,  Classification Accuracy: 100.00
Epoch: [60/150], Step [200/469], Loss: 0.1977,  Classification Accuracy: 100.00
Epoch: [60/150], Step [300/469], Loss: 0.1957,  Classification Accuracy: 100.00
Epoch: [60/150], Step [400/469], Loss: 0.1982,  Classification Accuracy: 100.00
Epoch: [61/150], Step [100/469], Loss: 0.1985,  Classification Accuracy: 100.00
Epoch: [61/150], Step [200/469], Loss: 0.1976,  Classification Accuracy: 100.00
Epoch: [61/150], Step [300/469], Loss: 0.1948,  Classification Accuracy: 100.00
Epoch: [61/150], Step [400/469], Loss: 0.1993,  Classification Accuracy: 100.00
Epoch: [62/150], Step [100/469], Loss: 0.2036,  Classification Accuracy: 100.00
Epoch: [62/150], Step [200/469], Loss: 0.1928,  Classification Accuracy: 100.00
Epoch: [62/150], Step [300/469], Loss: 0.2323,  Classification Accuracy: 99.22
Epoch: [62/150], Step [400/469], Loss: 0.2048,  Classification Accuracy: 99.22
Epoch: [63/150], Step [100/469], Loss: 0.1916,  Classification Accuracy: 100.00
Epoch: [63/150], Step [200/469], Loss: 0.2019,  Classification Accuracy: 100.00
Epoch: [63/150], Step [300/469], Loss: 0.1907,  Classification Accuracy: 100.00
Epoch: [63/150], Step [400/469], Loss: 0.1942,  Classification Accuracy: 100.00
Epoch: [64/150], Step [100/469], Loss: 0.1928,  Classification Accuracy: 100.00
Epoch: [64/150], Step [200/469], Loss: 0.1938,  Classification Accuracy: 100.00
Epoch: [64/150], Step [300/469], Loss: 0.1790,  Classification Accuracy: 100.00
Epoch: [64/150], Step [400/469], Loss: 0.1990,  Classification Accuracy: 100.00
Epoch: [65/150], Step [100/469], Loss: 0.1977,  Classification Accuracy: 100.00
Epoch: [65/150], Step [200/469], Loss: 0.1970,  Classification Accuracy: 100.00
Epoch: [65/150], Step [300/469], Loss: 0.1956,  Classification Accuracy: 100.00
Epoch: [65/150], Step [400/469], Loss: 0.1975,  Classification Accuracy: 100.00
Epoch: [66/150], Step [100/469], Loss: 0.1926,  Classification Accuracy: 100.00
Epoch: [66/150], Step [200/469], Loss: 0.1811,  Classification Accuracy: 100.00
Epoch: [66/150], Step [300/469], Loss: 0.1898,  Classification Accuracy: 100.00
Epoch: [66/150], Step [400/469], Loss: 0.1920,  Classification Accuracy: 100.00
Epoch: [67/150], Step [100/469], Loss: 0.1980,  Classification Accuracy: 100.00
Epoch: [67/150], Step [200/469], Loss: 0.1943,  Classification Accuracy: 100.00
Epoch: [67/150], Step [300/469], Loss: 0.1836,  Classification Accuracy: 100.00
Epoch: [67/150], Step [400/469], Loss: 0.1866,  Classification Accuracy: 100.00
Epoch: [68/150], Step [100/469], Loss: 0.1902,  Classification Accuracy: 100.00
Epoch: [68/150], Step [200/469], Loss: 0.1944,  Classification Accuracy: 100.00
Epoch: [68/150], Step [300/469], Loss: 0.1964,  Classification Accuracy: 100.00
Epoch: [68/150], Step [400/469], Loss: 0.1941,  Classification Accuracy: 100.00
Epoch: [69/150], Step [100/469], Loss: 0.1911,  Classification Accuracy: 100.00
Epoch: [69/150], Step [200/469], Loss: 0.1921,  Classification Accuracy: 100.00
Epoch: [69/150], Step [300/469], Loss: 0.1787,  Classification Accuracy: 100.00
Epoch: [69/150], Step [400/469], Loss: 0.2025,  Classification Accuracy: 100.00
Epoch: [70/150], Step [100/469], Loss: 0.2031,  Classification Accuracy: 100.00
Epoch: [70/150], Step [200/469], Loss: 0.1975,  Classification Accuracy: 100.00
Epoch: [70/150], Step [300/469], Loss: 0.1949,  Classification Accuracy: 100.00
Epoch: [70/150], Step [400/469], Loss: 0.2021,  Classification Accuracy: 100.00
Epoch: [71/150], Step [100/469], Loss: 0.1879,  Classification Accuracy: 100.00
Epoch: [71/150], Step [200/469], Loss: 0.1864,  Classification Accuracy: 100.00
Epoch: [71/150], Step [300/469], Loss: 0.1861,  Classification Accuracy: 100.00
Epoch: [71/150], Step [400/469], Loss: 0.1931,  Classification Accuracy: 100.00
Epoch: [72/150], Step [100/469], Loss: 0.1936,  Classification Accuracy: 100.00
Epoch: [72/150], Step [200/469], Loss: 0.2013,  Classification Accuracy: 100.00
Epoch: [72/150], Step [300/469], Loss: 0.1902,  Classification Accuracy: 100.00
Epoch: [72/150], Step [400/469], Loss: 0.1792,  Classification Accuracy: 100.00
Epoch: [73/150], Step [100/469], Loss: 0.2026,  Classification Accuracy: 100.00
Epoch: [73/150], Step [200/469], Loss: 0.2004,  Classification Accuracy: 100.00
Epoch: [73/150], Step [300/469], Loss: 0.1910,  Classification Accuracy: 100.00
Epoch: [73/150], Step [400/469], Loss: 0.1919,  Classification Accuracy: 100.00
Epoch: [74/150], Step [100/469], Loss: 0.1885,  Classification Accuracy: 100.00
Epoch: [74/150], Step [200/469], Loss: 0.1985,  Classification Accuracy: 100.00
Epoch: [74/150], Step [300/469], Loss: 0.2001,  Classification Accuracy: 100.00
Epoch: [74/150], Step [400/469], Loss: 0.1915,  Classification Accuracy: 100.00
Epoch: [75/150], Step [100/469], Loss: 0.1883,  Classification Accuracy: 100.00
Epoch: [75/150], Step [200/469], Loss: 0.1853,  Classification Accuracy: 100.00
Epoch: [75/150], Step [300/469], Loss: 0.1934,  Classification Accuracy: 100.00
Epoch: [75/150], Step [400/469], Loss: 0.1951,  Classification Accuracy: 100.00
Epoch: [76/150], Step [100/469], Loss: 0.2053,  Classification Accuracy: 100.00
Epoch: [76/150], Step [200/469], Loss: 0.1971,  Classification Accuracy: 100.00
Epoch: [76/150], Step [300/469], Loss: 0.1889,  Classification Accuracy: 100.00
Epoch: [76/150], Step [400/469], Loss: 0.1977,  Classification Accuracy: 100.00
Epoch: [77/150], Step [100/469], Loss: 0.1931,  Classification Accuracy: 100.00
Epoch: [77/150], Step [200/469], Loss: 0.1992,  Classification Accuracy: 100.00
Epoch: [77/150], Step [300/469], Loss: 0.1926,  Classification Accuracy: 100.00
Epoch: [77/150], Step [400/469], Loss: 0.2023,  Classification Accuracy: 100.00
Epoch: [78/150], Step [100/469], Loss: 0.1899,  Classification Accuracy: 100.00
Epoch: [78/150], Step [200/469], Loss: 0.2035,  Classification Accuracy: 100.00
Epoch: [78/150], Step [300/469], Loss: 0.1971,  Classification Accuracy: 100.00
Epoch: [78/150], Step [400/469], Loss: 0.1958,  Classification Accuracy: 100.00
Epoch: [79/150], Step [100/469], Loss: 0.1947,  Classification Accuracy: 100.00
Epoch: [79/150], Step [200/469], Loss: 0.1977,  Classification Accuracy: 100.00
Epoch: [79/150], Step [300/469], Loss: 0.1980,  Classification Accuracy: 100.00
Epoch: [79/150], Step [400/469], Loss: 0.1860,  Classification Accuracy: 100.00
Epoch: [80/150], Step [100/469], Loss: 0.1877,  Classification Accuracy: 100.00
Epoch: [80/150], Step [200/469], Loss: 0.1852,  Classification Accuracy: 100.00
Epoch: [80/150], Step [300/469], Loss: 0.1861,  Classification Accuracy: 100.00
Epoch: [80/150], Step [400/469], Loss: 0.1991,  Classification Accuracy: 100.00
Epoch: [81/150], Step [100/469], Loss: 0.1914,  Classification Accuracy: 100.00
Epoch: [81/150], Step [200/469], Loss: 0.1963,  Classification Accuracy: 100.00
Epoch: [81/150], Step [300/469], Loss: 0.2014,  Classification Accuracy: 100.00
Epoch: [81/150], Step [400/469], Loss: 0.1977,  Classification Accuracy: 100.00
Epoch: [82/150], Step [100/469], Loss: 0.1948,  Classification Accuracy: 100.00
Epoch: [82/150], Step [200/469], Loss: 0.1903,  Classification Accuracy: 100.00
Epoch: [82/150], Step [300/469], Loss: 0.1976,  Classification Accuracy: 100.00
Epoch: [82/150], Step [400/469], Loss: 0.1909,  Classification Accuracy: 100.00
Epoch: [83/150], Step [100/469], Loss: 0.1867,  Classification Accuracy: 100.00
Epoch: [83/150], Step [200/469], Loss: 0.2022,  Classification Accuracy: 100.00
Epoch: [83/150], Step [300/469], Loss: 0.1979,  Classification Accuracy: 100.00
Epoch: [83/150], Step [400/469], Loss: 0.1937,  Classification Accuracy: 100.00
Epoch: [84/150], Step [100/469], Loss: 0.1855,  Classification Accuracy: 100.00
Epoch: [84/150], Step [200/469], Loss: 0.1867,  Classification Accuracy: 100.00
Epoch: [84/150], Step [300/469], Loss: 0.1953,  Classification Accuracy: 100.00
Epoch: [84/150], Step [400/469], Loss: 0.1944,  Classification Accuracy: 100.00
Epoch: [85/150], Step [100/469], Loss: 0.1920,  Classification Accuracy: 100.00
Epoch: [85/150], Step [200/469], Loss: 0.1822,  Classification Accuracy: 100.00
Epoch: [85/150], Step [300/469], Loss: 0.1959,  Classification Accuracy: 100.00
Epoch: [85/150], Step [400/469], Loss: 0.1929,  Classification Accuracy: 100.00
Epoch: [86/150], Step [100/469], Loss: 0.1915,  Classification Accuracy: 100.00
Epoch: [86/150], Step [200/469], Loss: 0.1953,  Classification Accuracy: 100.00
Epoch: [86/150], Step [300/469], Loss: 0.2116,  Classification Accuracy: 100.00
Epoch: [86/150], Step [400/469], Loss: 0.1953,  Classification Accuracy: 100.00
Epoch: [87/150], Step [100/469], Loss: 0.1889,  Classification Accuracy: 100.00
Epoch: [87/150], Step [200/469], Loss: 0.1882,  Classification Accuracy: 100.00
Epoch: [87/150], Step [300/469], Loss: 0.1896,  Classification Accuracy: 100.00
Epoch: [87/150], Step [400/469], Loss: 0.2056,  Classification Accuracy: 100.00
Epoch: [88/150], Step [100/469], Loss: 0.1948,  Classification Accuracy: 100.00
Epoch: [88/150], Step [200/469], Loss: 0.1909,  Classification Accuracy: 100.00
Epoch: [88/150], Step [300/469], Loss: 0.1970,  Classification Accuracy: 100.00
Epoch: [88/150], Step [400/469], Loss: 0.1897,  Classification Accuracy: 100.00
Epoch: [89/150], Step [100/469], Loss: 0.2001,  Classification Accuracy: 100.00
Epoch: [89/150], Step [200/469], Loss: 0.1900,  Classification Accuracy: 100.00
Epoch: [89/150], Step [300/469], Loss: 0.1933,  Classification Accuracy: 100.00
Epoch: [89/150], Step [400/469], Loss: 0.1961,  Classification Accuracy: 100.00
Epoch: [90/150], Step [100/469], Loss: 0.1869,  Classification Accuracy: 100.00
Epoch: [90/150], Step [200/469], Loss: 0.1915,  Classification Accuracy: 100.00
Epoch: [90/150], Step [300/469], Loss: 0.1920,  Classification Accuracy: 100.00
Epoch: [90/150], Step [400/469], Loss: 0.1809,  Classification Accuracy: 100.00
Epoch: [91/150], Step [100/469], Loss: 0.1845,  Classification Accuracy: 100.00
Epoch: [91/150], Step [200/469], Loss: 0.1881,  Classification Accuracy: 100.00
Epoch: [91/150], Step [300/469], Loss: 0.1901,  Classification Accuracy: 100.00
Epoch: [91/150], Step [400/469], Loss: 0.1906,  Classification Accuracy: 100.00
Epoch: [92/150], Step [100/469], Loss: 0.1830,  Classification Accuracy: 100.00
Epoch: [92/150], Step [200/469], Loss: 0.1951,  Classification Accuracy: 100.00
Epoch: [92/150], Step [300/469], Loss: 0.1913,  Classification Accuracy: 100.00
Epoch: [92/150], Step [400/469], Loss: 0.1935,  Classification Accuracy: 100.00
Epoch: [93/150], Step [100/469], Loss: 0.1921,  Classification Accuracy: 100.00
Epoch: [93/150], Step [200/469], Loss: 0.2019,  Classification Accuracy: 100.00
Epoch: [93/150], Step [300/469], Loss: 0.1810,  Classification Accuracy: 100.00
Epoch: [93/150], Step [400/469], Loss: 0.1891,  Classification Accuracy: 100.00
Epoch: [94/150], Step [100/469], Loss: 0.1864,  Classification Accuracy: 100.00
Epoch: [94/150], Step [200/469], Loss: 0.1941,  Classification Accuracy: 100.00
Epoch: [94/150], Step [300/469], Loss: 0.1911,  Classification Accuracy: 100.00
Epoch: [94/150], Step [400/469], Loss: 0.2576,  Classification Accuracy: 98.44
Epoch: [95/150], Step [100/469], Loss: 0.1967,  Classification Accuracy: 100.00
Epoch: [95/150], Step [200/469], Loss: 0.2009,  Classification Accuracy: 100.00
Epoch: [95/150], Step [300/469], Loss: 0.2052,  Classification Accuracy: 99.22
Epoch: [95/150], Step [400/469], Loss: 0.1950,  Classification Accuracy: 100.00
Epoch: [96/150], Step [100/469], Loss: 0.1976,  Classification Accuracy: 100.00
Epoch: [96/150], Step [200/469], Loss: 0.2001,  Classification Accuracy: 100.00
Epoch: [96/150], Step [300/469], Loss: 0.1865,  Classification Accuracy: 100.00
Epoch: [96/150], Step [400/469], Loss: 0.1894,  Classification Accuracy: 100.00
Epoch: [97/150], Step [100/469], Loss: 0.1946,  Classification Accuracy: 100.00
Epoch: [97/150], Step [200/469], Loss: 0.1884,  Classification Accuracy: 100.00
Epoch: [97/150], Step [300/469], Loss: 0.1919,  Classification Accuracy: 100.00
Epoch: [97/150], Step [400/469], Loss: 0.2044,  Classification Accuracy: 100.00
Epoch: [98/150], Step [100/469], Loss: 0.1875,  Classification Accuracy: 100.00
Epoch: [98/150], Step [200/469], Loss: 0.1900,  Classification Accuracy: 100.00
Epoch: [98/150], Step [300/469], Loss: 0.1987,  Classification Accuracy: 100.00
Epoch: [98/150], Step [400/469], Loss: 0.1904,  Classification Accuracy: 100.00
Epoch: [99/150], Step [100/469], Loss: 0.1941,  Classification Accuracy: 100.00
Epoch: [99/150], Step [200/469], Loss: 0.1930,  Classification Accuracy: 100.00
Epoch: [99/150], Step [300/469], Loss: 0.1987,  Classification Accuracy: 100.00
Epoch: [99/150], Step [400/469], Loss: 0.1950,  Classification Accuracy: 100.00
Epoch: [100/150], Step [100/469], Loss: 0.2018,  Classification Accuracy: 100.00
Epoch: [100/150], Step [200/469], Loss: 0.1943,  Classification Accuracy: 100.00
Epoch: [100/150], Step [300/469], Loss: 0.2010,  Classification Accuracy: 100.00
Epoch: [100/150], Step [400/469], Loss: 0.1844,  Classification Accuracy: 100.00
Epoch: [101/150], Step [100/469], Loss: 0.1991,  Classification Accuracy: 100.00
Epoch: [101/150], Step [200/469], Loss: 0.1915,  Classification Accuracy: 100.00
Epoch: [101/150], Step [300/469], Loss: 0.2001,  Classification Accuracy: 100.00
Epoch: [101/150], Step [400/469], Loss: 0.1923,  Classification Accuracy: 100.00
Epoch: [102/150], Step [100/469], Loss: 0.1892,  Classification Accuracy: 100.00
Epoch: [102/150], Step [200/469], Loss: 0.1977,  Classification Accuracy: 100.00
Epoch: [102/150], Step [300/469], Loss: 0.1942,  Classification Accuracy: 100.00
Epoch: [102/150], Step [400/469], Loss: 0.1907,  Classification Accuracy: 100.00
Epoch: [103/150], Step [100/469], Loss: 0.1897,  Classification Accuracy: 100.00
Epoch: [103/150], Step [200/469], Loss: 0.1953,  Classification Accuracy: 100.00
Epoch: [103/150], Step [300/469], Loss: 0.1964,  Classification Accuracy: 100.00
Epoch: [103/150], Step [400/469], Loss: 0.2351,  Classification Accuracy: 99.22
Epoch: [104/150], Step [100/469], Loss: 0.2105,  Classification Accuracy: 100.00
Epoch: [104/150], Step [200/469], Loss: 0.2012,  Classification Accuracy: 100.00
Epoch: [104/150], Step [300/469], Loss: 0.1850,  Classification Accuracy: 100.00
Epoch: [104/150], Step [400/469], Loss: 0.1905,  Classification Accuracy: 100.00
Epoch: [105/150], Step [100/469], Loss: 0.1935,  Classification Accuracy: 100.00
Epoch: [105/150], Step [200/469], Loss: 0.1932,  Classification Accuracy: 100.00
Epoch: [105/150], Step [300/469], Loss: 0.1975,  Classification Accuracy: 100.00
Epoch: [105/150], Step [400/469], Loss: 0.1898,  Classification Accuracy: 100.00
Epoch: [106/150], Step [100/469], Loss: 0.1919,  Classification Accuracy: 100.00
Epoch: [106/150], Step [200/469], Loss: 0.1894,  Classification Accuracy: 100.00
Epoch: [106/150], Step [300/469], Loss: 0.1952,  Classification Accuracy: 100.00
Epoch: [106/150], Step [400/469], Loss: 0.1924,  Classification Accuracy: 100.00
Epoch: [107/150], Step [100/469], Loss: 0.1950,  Classification Accuracy: 100.00
Epoch: [107/150], Step [200/469], Loss: 0.1948,  Classification Accuracy: 100.00
Epoch: [107/150], Step [300/469], Loss: 0.1980,  Classification Accuracy: 100.00
Epoch: [107/150], Step [400/469], Loss: 0.1934,  Classification Accuracy: 100.00
Epoch: [108/150], Step [100/469], Loss: 0.1934,  Classification Accuracy: 100.00
Epoch: [108/150], Step [200/469], Loss: 0.1930,  Classification Accuracy: 100.00
Epoch: [108/150], Step [300/469], Loss: 0.2020,  Classification Accuracy: 100.00
Epoch: [108/150], Step [400/469], Loss: 0.1912,  Classification Accuracy: 100.00
Epoch: [109/150], Step [100/469], Loss: 0.1820,  Classification Accuracy: 100.00
Epoch: [109/150], Step [200/469], Loss: 0.1889,  Classification Accuracy: 100.00
Epoch: [109/150], Step [300/469], Loss: 0.1925,  Classification Accuracy: 100.00
Epoch: [109/150], Step [400/469], Loss: 0.1927,  Classification Accuracy: 100.00
Epoch: [110/150], Step [100/469], Loss: 0.1920,  Classification Accuracy: 100.00
Epoch: [110/150], Step [200/469], Loss: 0.1932,  Classification Accuracy: 100.00
Epoch: [110/150], Step [300/469], Loss: 0.1845,  Classification Accuracy: 100.00
Epoch: [110/150], Step [400/469], Loss: 0.1891,  Classification Accuracy: 100.00
Epoch: [111/150], Step [100/469], Loss: 0.1892,  Classification Accuracy: 100.00
Epoch: [111/150], Step [200/469], Loss: 0.1876,  Classification Accuracy: 100.00
Epoch: [111/150], Step [300/469], Loss: 0.1836,  Classification Accuracy: 100.00
Epoch: [111/150], Step [400/469], Loss: 0.1936,  Classification Accuracy: 100.00
Epoch: [112/150], Step [100/469], Loss: 0.1889,  Classification Accuracy: 100.00
Epoch: [112/150], Step [200/469], Loss: 0.1942,  Classification Accuracy: 100.00
Epoch: [112/150], Step [300/469], Loss: 0.2014,  Classification Accuracy: 100.00
Epoch: [112/150], Step [400/469], Loss: 0.1885,  Classification Accuracy: 100.00
Epoch: [113/150], Step [100/469], Loss: 0.1965,  Classification Accuracy: 99.22
Epoch: [113/150], Step [200/469], Loss: 0.2011,  Classification Accuracy: 100.00
Epoch: [113/150], Step [300/469], Loss: 0.1928,  Classification Accuracy: 100.00
Epoch: [113/150], Step [400/469], Loss: 0.1907,  Classification Accuracy: 100.00
Epoch: [114/150], Step [100/469], Loss: 0.1969,  Classification Accuracy: 100.00
Epoch: [114/150], Step [200/469], Loss: 0.1861,  Classification Accuracy: 100.00
Epoch: [114/150], Step [300/469], Loss: 0.1975,  Classification Accuracy: 100.00
Epoch: [114/150], Step [400/469], Loss: 0.1894,  Classification Accuracy: 100.00
Epoch: [115/150], Step [100/469], Loss: 0.1952,  Classification Accuracy: 100.00
Epoch: [115/150], Step [200/469], Loss: 0.1863,  Classification Accuracy: 100.00
Epoch: [115/150], Step [300/469], Loss: 0.1939,  Classification Accuracy: 100.00
Epoch: [115/150], Step [400/469], Loss: 0.1991,  Classification Accuracy: 100.00
Epoch: [116/150], Step [100/469], Loss: 0.1992,  Classification Accuracy: 100.00
Epoch: [116/150], Step [200/469], Loss: 0.1849,  Classification Accuracy: 100.00
Epoch: [116/150], Step [300/469], Loss: 0.1955,  Classification Accuracy: 100.00
Epoch: [116/150], Step [400/469], Loss: 0.1962,  Classification Accuracy: 100.00
Epoch: [117/150], Step [100/469], Loss: 0.1985,  Classification Accuracy: 100.00
Epoch: [117/150], Step [200/469], Loss: 0.1829,  Classification Accuracy: 100.00
Epoch: [117/150], Step [300/469], Loss: 0.1918,  Classification Accuracy: 100.00
Epoch: [117/150], Step [400/469], Loss: 0.1838,  Classification Accuracy: 100.00
Epoch: [118/150], Step [100/469], Loss: 0.1880,  Classification Accuracy: 100.00
Epoch: [118/150], Step [200/469], Loss: 0.1892,  Classification Accuracy: 100.00
Epoch: [118/150], Step [300/469], Loss: 0.1887,  Classification Accuracy: 100.00
Epoch: [118/150], Step [400/469], Loss: 0.1866,  Classification Accuracy: 100.00
Epoch: [119/150], Step [100/469], Loss: 0.1846,  Classification Accuracy: 100.00
Epoch: [119/150], Step [200/469], Loss: 0.1911,  Classification Accuracy: 100.00
Epoch: [119/150], Step [300/469], Loss: 0.1914,  Classification Accuracy: 100.00
Epoch: [119/150], Step [400/469], Loss: 0.1892,  Classification Accuracy: 100.00
Epoch: [120/150], Step [100/469], Loss: 0.1915,  Classification Accuracy: 100.00
Epoch: [120/150], Step [200/469], Loss: 0.1987,  Classification Accuracy: 100.00
Epoch: [120/150], Step [300/469], Loss: 0.2056,  Classification Accuracy: 100.00
Epoch: [120/150], Step [400/469], Loss: 0.2070,  Classification Accuracy: 100.00
Epoch: [121/150], Step [100/469], Loss: 0.2023,  Classification Accuracy: 100.00
Epoch: [121/150], Step [200/469], Loss: 0.1880,  Classification Accuracy: 100.00
Epoch: [121/150], Step [300/469], Loss: 0.1911,  Classification Accuracy: 100.00
Epoch: [121/150], Step [400/469], Loss: 0.1899,  Classification Accuracy: 100.00
Epoch: [122/150], Step [100/469], Loss: 0.1953,  Classification Accuracy: 100.00
Epoch: [122/150], Step [200/469], Loss: 0.1909,  Classification Accuracy: 100.00
Epoch: [122/150], Step [300/469], Loss: 0.1837,  Classification Accuracy: 100.00
Epoch: [122/150], Step [400/469], Loss: 0.1991,  Classification Accuracy: 100.00
Epoch: [123/150], Step [100/469], Loss: 0.1978,  Classification Accuracy: 100.00
Epoch: [123/150], Step [200/469], Loss: 0.1942,  Classification Accuracy: 100.00
Epoch: [123/150], Step [300/469], Loss: 0.1937,  Classification Accuracy: 100.00
Epoch: [123/150], Step [400/469], Loss: 0.2055,  Classification Accuracy: 100.00
Epoch: [124/150], Step [100/469], Loss: 0.2048,  Classification Accuracy: 100.00
Epoch: [124/150], Step [200/469], Loss: 0.1860,  Classification Accuracy: 100.00
Epoch: [124/150], Step [300/469], Loss: 0.2011,  Classification Accuracy: 100.00
Epoch: [124/150], Step [400/469], Loss: 0.1871,  Classification Accuracy: 100.00
Epoch: [125/150], Step [100/469], Loss: 0.1814,  Classification Accuracy: 100.00
Epoch: [125/150], Step [200/469], Loss: 0.1853,  Classification Accuracy: 100.00
Epoch: [125/150], Step [300/469], Loss: 0.1984,  Classification Accuracy: 100.00
Epoch: [125/150], Step [400/469], Loss: 0.1901,  Classification Accuracy: 100.00
Epoch: [126/150], Step [100/469], Loss: 0.1887,  Classification Accuracy: 100.00
Epoch: [126/150], Step [200/469], Loss: 0.1891,  Classification Accuracy: 100.00
Epoch: [126/150], Step [300/469], Loss: 0.1897,  Classification Accuracy: 100.00
Epoch: [126/150], Step [400/469], Loss: 0.1858,  Classification Accuracy: 100.00
Epoch: [127/150], Step [100/469], Loss: 0.1881,  Classification Accuracy: 100.00
Epoch: [127/150], Step [200/469], Loss: 0.1945,  Classification Accuracy: 100.00
Epoch: [127/150], Step [300/469], Loss: 0.1969,  Classification Accuracy: 100.00
Epoch: [127/150], Step [400/469], Loss: 0.1910,  Classification Accuracy: 100.00
Epoch: [128/150], Step [100/469], Loss: 0.1896,  Classification Accuracy: 100.00
Epoch: [128/150], Step [200/469], Loss: 0.1929,  Classification Accuracy: 100.00
Epoch: [128/150], Step [300/469], Loss: 0.1861,  Classification Accuracy: 100.00
Epoch: [128/150], Step [400/469], Loss: 0.1908,  Classification Accuracy: 100.00
Epoch: [129/150], Step [100/469], Loss: 0.1993,  Classification Accuracy: 100.00
Epoch: [129/150], Step [200/469], Loss: 0.1914,  Classification Accuracy: 100.00
Epoch: [129/150], Step [300/469], Loss: 0.2137,  Classification Accuracy: 99.22
Epoch: [129/150], Step [400/469], Loss: 0.2044,  Classification Accuracy: 100.00
Epoch: [130/150], Step [100/469], Loss: 0.1897,  Classification Accuracy: 100.00
Epoch: [130/150], Step [200/469], Loss: 0.1943,  Classification Accuracy: 100.00
Epoch: [130/150], Step [300/469], Loss: 0.1863,  Classification Accuracy: 100.00
Epoch: [130/150], Step [400/469], Loss: 0.1959,  Classification Accuracy: 100.00
Epoch: [131/150], Step [100/469], Loss: 0.1863,  Classification Accuracy: 100.00
Epoch: [131/150], Step [200/469], Loss: 0.1876,  Classification Accuracy: 100.00
Epoch: [131/150], Step [300/469], Loss: 0.1903,  Classification Accuracy: 100.00
Epoch: [131/150], Step [400/469], Loss: 0.1923,  Classification Accuracy: 100.00
Epoch: [132/150], Step [100/469], Loss: 0.1895,  Classification Accuracy: 100.00
Epoch: [132/150], Step [200/469], Loss: 0.1810,  Classification Accuracy: 100.00
Epoch: [132/150], Step [300/469], Loss: 0.1949,  Classification Accuracy: 100.00
Epoch: [132/150], Step [400/469], Loss: 0.1906,  Classification Accuracy: 100.00
Epoch: [133/150], Step [100/469], Loss: 0.1864,  Classification Accuracy: 100.00
Epoch: [133/150], Step [200/469], Loss: 0.1950,  Classification Accuracy: 100.00
Epoch: [133/150], Step [300/469], Loss: 0.1824,  Classification Accuracy: 100.00
Epoch: [133/150], Step [400/469], Loss: 0.1993,  Classification Accuracy: 100.00
Epoch: [134/150], Step [100/469], Loss: 0.1944,  Classification Accuracy: 100.00
Epoch: [134/150], Step [200/469], Loss: 0.1830,  Classification Accuracy: 100.00
Epoch: [134/150], Step [300/469], Loss: 0.1833,  Classification Accuracy: 100.00
Epoch: [134/150], Step [400/469], Loss: 0.1882,  Classification Accuracy: 100.00
Epoch: [135/150], Step [100/469], Loss: 0.1942,  Classification Accuracy: 100.00
Epoch: [135/150], Step [200/469], Loss: 0.1793,  Classification Accuracy: 100.00
Epoch: [135/150], Step [300/469], Loss: 0.1878,  Classification Accuracy: 100.00
Epoch: [135/150], Step [400/469], Loss: 0.1980,  Classification Accuracy: 100.00
Epoch: [136/150], Step [100/469], Loss: 0.1875,  Classification Accuracy: 100.00
Epoch: [136/150], Step [200/469], Loss: 0.1893,  Classification Accuracy: 100.00
Epoch: [136/150], Step [300/469], Loss: 0.1837,  Classification Accuracy: 100.00
Epoch: [136/150], Step [400/469], Loss: 0.2014,  Classification Accuracy: 100.00
Epoch: [137/150], Step [100/469], Loss: 0.1922,  Classification Accuracy: 100.00
Epoch: [137/150], Step [200/469], Loss: 0.1860,  Classification Accuracy: 100.00
Epoch: [137/150], Step [300/469], Loss: 0.1966,  Classification Accuracy: 100.00
Epoch: [137/150], Step [400/469], Loss: 0.1963,  Classification Accuracy: 100.00
Epoch: [138/150], Step [100/469], Loss: 0.1978,  Classification Accuracy: 100.00
Epoch: [138/150], Step [200/469], Loss: 0.1855,  Classification Accuracy: 100.00
Epoch: [138/150], Step [300/469], Loss: 0.2006,  Classification Accuracy: 100.00
Epoch: [138/150], Step [400/469], Loss: 0.1943,  Classification Accuracy: 100.00
Epoch: [139/150], Step [100/469], Loss: 0.1911,  Classification Accuracy: 100.00
Epoch: [139/150], Step [200/469], Loss: 0.2115,  Classification Accuracy: 99.22
Epoch: [139/150], Step [300/469], Loss: 0.1864,  Classification Accuracy: 100.00
Epoch: [139/150], Step [400/469], Loss: 0.1881,  Classification Accuracy: 100.00
Epoch: [140/150], Step [100/469], Loss: 0.1899,  Classification Accuracy: 100.00
Epoch: [140/150], Step [200/469], Loss: 0.1876,  Classification Accuracy: 100.00
Epoch: [140/150], Step [300/469], Loss: 0.1875,  Classification Accuracy: 100.00
Epoch: [140/150], Step [400/469], Loss: 0.1999,  Classification Accuracy: 100.00
Epoch: [141/150], Step [100/469], Loss: 0.1869,  Classification Accuracy: 100.00
Epoch: [141/150], Step [200/469], Loss: 0.1855,  Classification Accuracy: 100.00
Epoch: [141/150], Step [300/469], Loss: 0.1801,  Classification Accuracy: 100.00
Epoch: [141/150], Step [400/469], Loss: 0.1822,  Classification Accuracy: 100.00
Epoch: [142/150], Step [100/469], Loss: 0.1926,  Classification Accuracy: 100.00
Epoch: [142/150], Step [200/469], Loss: 0.1935,  Classification Accuracy: 100.00
Epoch: [142/150], Step [300/469], Loss: 0.1901,  Classification Accuracy: 100.00
Epoch: [142/150], Step [400/469], Loss: 0.1867,  Classification Accuracy: 100.00
Epoch: [143/150], Step [100/469], Loss: 0.1968,  Classification Accuracy: 100.00
Epoch: [143/150], Step [200/469], Loss: 0.1904,  Classification Accuracy: 100.00
Epoch: [143/150], Step [300/469], Loss: 0.1902,  Classification Accuracy: 100.00
Epoch: [143/150], Step [400/469], Loss: 0.1812,  Classification Accuracy: 100.00
Epoch: [144/150], Step [100/469], Loss: 0.1801,  Classification Accuracy: 100.00
Epoch: [144/150], Step [200/469], Loss: 0.1834,  Classification Accuracy: 100.00
Epoch: [144/150], Step [300/469], Loss: 0.1931,  Classification Accuracy: 100.00
Epoch: [144/150], Step [400/469], Loss: 0.1903,  Classification Accuracy: 100.00
Epoch: [145/150], Step [100/469], Loss: 0.1899,  Classification Accuracy: 100.00
Epoch: [145/150], Step [200/469], Loss: 0.1910,  Classification Accuracy: 100.00
Epoch: [145/150], Step [300/469], Loss: 0.1892,  Classification Accuracy: 100.00
Epoch: [145/150], Step [400/469], Loss: 0.1835,  Classification Accuracy: 100.00
Epoch: [146/150], Step [100/469], Loss: 0.1940,  Classification Accuracy: 100.00
Epoch: [146/150], Step [200/469], Loss: 0.1847,  Classification Accuracy: 100.00
Epoch: [146/150], Step [300/469], Loss: 0.1988,  Classification Accuracy: 100.00
Epoch: [146/150], Step [400/469], Loss: 0.1901,  Classification Accuracy: 100.00
Epoch: [147/150], Step [100/469], Loss: 0.1886,  Classification Accuracy: 100.00
Epoch: [147/150], Step [200/469], Loss: 0.1918,  Classification Accuracy: 100.00
Epoch: [147/150], Step [300/469], Loss: 0.1937,  Classification Accuracy: 100.00
Epoch: [147/150], Step [400/469], Loss: 0.1908,  Classification Accuracy: 100.00
Epoch: [148/150], Step [100/469], Loss: 0.1930,  Classification Accuracy: 100.00
Epoch: [148/150], Step [200/469], Loss: 0.1937,  Classification Accuracy: 100.00
Epoch: [148/150], Step [300/469], Loss: 0.1933,  Classification Accuracy: 100.00
Epoch: [148/150], Step [400/469], Loss: 0.1903,  Classification Accuracy: 100.00
Epoch: [149/150], Step [100/469], Loss: 0.1884,  Classification Accuracy: 100.00
Epoch: [149/150], Step [200/469], Loss: 0.2029,  Classification Accuracy: 100.00
Epoch: [149/150], Step [300/469], Loss: 0.1841,  Classification Accuracy: 100.00
Epoch: [149/150], Step [400/469], Loss: 0.1988,  Classification Accuracy: 100.00
Accuracy of the network on the 10000 test images: 99.0500 %
The average reconstruction loss on the network is 410035
Lambda: 1e-06
Epoch: [0/150], Step [100/469], Loss: 0.1348,  Classification Accuracy: 95.31
Epoch: [0/150], Step [200/469], Loss: 0.0575,  Classification Accuracy: 99.22
Epoch: [0/150], Step [300/469], Loss: 0.1648,  Classification Accuracy: 96.88
Epoch: [0/150], Step [400/469], Loss: 0.0879,  Classification Accuracy: 98.44
Epoch: [1/150], Step [100/469], Loss: 0.0906,  Classification Accuracy: 96.09
Epoch: [1/150], Step [200/469], Loss: 0.0790,  Classification Accuracy: 96.88
Epoch: [1/150], Step [300/469], Loss: 0.0422,  Classification Accuracy: 99.22
Epoch: [1/150], Step [400/469], Loss: 0.0300,  Classification Accuracy: 100.00
Epoch: [2/150], Step [100/469], Loss: 0.0356,  Classification Accuracy: 99.22
Epoch: [2/150], Step [200/469], Loss: 0.0444,  Classification Accuracy: 98.44
Epoch: [2/150], Step [300/469], Loss: 0.0444,  Classification Accuracy: 98.44
Epoch: [2/150], Step [400/469], Loss: 0.0438,  Classification Accuracy: 99.22
Epoch: [3/150], Step [100/469], Loss: 0.0360,  Classification Accuracy: 99.22
Epoch: [3/150], Step [200/469], Loss: 0.0239,  Classification Accuracy: 100.00
Epoch: [3/150], Step [300/469], Loss: 0.0696,  Classification Accuracy: 98.44
Epoch: [3/150], Step [400/469], Loss: 0.0303,  Classification Accuracy: 100.00
Epoch: [4/150], Step [100/469], Loss: 0.0261,  Classification Accuracy: 100.00
Epoch: [4/150], Step [200/469], Loss: 0.0543,  Classification Accuracy: 98.44
Epoch: [4/150], Step [300/469], Loss: 0.0271,  Classification Accuracy: 100.00
Epoch: [4/150], Step [400/469], Loss: 0.0404,  Classification Accuracy: 99.22
Epoch: [5/150], Step [100/469], Loss: 0.0349,  Classification Accuracy: 99.22
Epoch: [5/150], Step [200/469], Loss: 0.0228,  Classification Accuracy: 100.00
Epoch: [5/150], Step [300/469], Loss: 0.0359,  Classification Accuracy: 99.22
Epoch: [5/150], Step [400/469], Loss: 0.0225,  Classification Accuracy: 100.00
Epoch: [6/150], Step [100/469], Loss: 0.0290,  Classification Accuracy: 99.22
Epoch: [6/150], Step [200/469], Loss: 0.0226,  Classification Accuracy: 100.00
Epoch: [6/150], Step [300/469], Loss: 0.0264,  Classification Accuracy: 100.00
Epoch: [6/150], Step [400/469], Loss: 0.0380,  Classification Accuracy: 99.22
Epoch: [7/150], Step [100/469], Loss: 0.0247,  Classification Accuracy: 100.00
Epoch: [7/150], Step [200/469], Loss: 0.0228,  Classification Accuracy: 100.00
Epoch: [7/150], Step [300/469], Loss: 0.0478,  Classification Accuracy: 99.22
Epoch: [7/150], Step [400/469], Loss: 0.0294,  Classification Accuracy: 99.22
Epoch: [8/150], Step [100/469], Loss: 0.0408,  Classification Accuracy: 99.22
Epoch: [8/150], Step [200/469], Loss: 0.0258,  Classification Accuracy: 100.00
Epoch: [8/150], Step [300/469], Loss: 0.0324,  Classification Accuracy: 99.22
Epoch: [8/150], Step [400/469], Loss: 0.0335,  Classification Accuracy: 100.00
Epoch: [9/150], Step [100/469], Loss: 0.0222,  Classification Accuracy: 100.00
Epoch: [9/150], Step [200/469], Loss: 0.0262,  Classification Accuracy: 100.00
Epoch: [9/150], Step [300/469], Loss: 0.0212,  Classification Accuracy: 100.00
Epoch: [9/150], Step [400/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [10/150], Step [100/469], Loss: 0.0218,  Classification Accuracy: 100.00
Epoch: [10/150], Step [200/469], Loss: 0.0222,  Classification Accuracy: 100.00
Epoch: [10/150], Step [300/469], Loss: 0.0231,  Classification Accuracy: 100.00
Epoch: [10/150], Step [400/469], Loss: 0.0281,  Classification Accuracy: 99.22
Epoch: [11/150], Step [100/469], Loss: 0.0235,  Classification Accuracy: 100.00
Epoch: [11/150], Step [200/469], Loss: 0.0216,  Classification Accuracy: 100.00
Epoch: [11/150], Step [300/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [11/150], Step [400/469], Loss: 0.0340,  Classification Accuracy: 99.22
Epoch: [12/150], Step [100/469], Loss: 0.0211,  Classification Accuracy: 100.00
Epoch: [12/150], Step [200/469], Loss: 0.0523,  Classification Accuracy: 99.22
Epoch: [12/150], Step [300/469], Loss: 0.0221,  Classification Accuracy: 100.00
Epoch: [12/150], Step [400/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [13/150], Step [100/469], Loss: 0.0229,  Classification Accuracy: 100.00
Epoch: [13/150], Step [200/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [13/150], Step [300/469], Loss: 0.0220,  Classification Accuracy: 100.00
Epoch: [13/150], Step [400/469], Loss: 0.0226,  Classification Accuracy: 100.00
Epoch: [14/150], Step [100/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [14/150], Step [200/469], Loss: 0.0216,  Classification Accuracy: 100.00
Epoch: [14/150], Step [300/469], Loss: 0.0291,  Classification Accuracy: 99.22
Epoch: [14/150], Step [400/469], Loss: 0.0251,  Classification Accuracy: 100.00
Epoch: [15/150], Step [100/469], Loss: 0.0242,  Classification Accuracy: 100.00
Epoch: [15/150], Step [200/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [15/150], Step [300/469], Loss: 0.0217,  Classification Accuracy: 100.00
Epoch: [15/150], Step [400/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [16/150], Step [100/469], Loss: 0.0240,  Classification Accuracy: 100.00
Epoch: [16/150], Step [200/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [16/150], Step [300/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [16/150], Step [400/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [17/150], Step [100/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [17/150], Step [200/469], Loss: 0.0218,  Classification Accuracy: 100.00
Epoch: [17/150], Step [300/469], Loss: 0.0195,  Classification Accuracy: 100.00
Epoch: [17/150], Step [400/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [18/150], Step [100/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [18/150], Step [200/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [18/150], Step [300/469], Loss: 0.0218,  Classification Accuracy: 100.00
Epoch: [18/150], Step [400/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [19/150], Step [100/469], Loss: 0.0255,  Classification Accuracy: 100.00
Epoch: [19/150], Step [200/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [19/150], Step [300/469], Loss: 0.0249,  Classification Accuracy: 100.00
Epoch: [19/150], Step [400/469], Loss: 0.0227,  Classification Accuracy: 100.00
Epoch: [20/150], Step [100/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [20/150], Step [200/469], Loss: 0.0246,  Classification Accuracy: 100.00
Epoch: [20/150], Step [300/469], Loss: 0.0229,  Classification Accuracy: 100.00
Epoch: [20/150], Step [400/469], Loss: 0.0214,  Classification Accuracy: 100.00
Epoch: [21/150], Step [100/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [21/150], Step [200/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [21/150], Step [300/469], Loss: 0.0227,  Classification Accuracy: 100.00
Epoch: [21/150], Step [400/469], Loss: 0.0234,  Classification Accuracy: 100.00
Epoch: [22/150], Step [100/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [22/150], Step [200/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [22/150], Step [300/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [22/150], Step [400/469], Loss: 0.0219,  Classification Accuracy: 100.00
Epoch: [23/150], Step [100/469], Loss: 0.0214,  Classification Accuracy: 100.00
Epoch: [23/150], Step [200/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [23/150], Step [300/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [23/150], Step [400/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [24/150], Step [100/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [24/150], Step [200/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [24/150], Step [300/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [24/150], Step [400/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [25/150], Step [100/469], Loss: 0.0211,  Classification Accuracy: 100.00
Epoch: [25/150], Step [200/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [25/150], Step [300/469], Loss: 0.0215,  Classification Accuracy: 100.00
Epoch: [25/150], Step [400/469], Loss: 0.0212,  Classification Accuracy: 100.00
Epoch: [26/150], Step [100/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [26/150], Step [200/469], Loss: 0.0211,  Classification Accuracy: 100.00
Epoch: [26/150], Step [300/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [26/150], Step [400/469], Loss: 0.0192,  Classification Accuracy: 100.00
Epoch: [27/150], Step [100/469], Loss: 0.0213,  Classification Accuracy: 100.00
Epoch: [27/150], Step [200/469], Loss: 0.0213,  Classification Accuracy: 100.00
Epoch: [27/150], Step [300/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [27/150], Step [400/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [28/150], Step [100/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [28/150], Step [200/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [28/150], Step [300/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [28/150], Step [400/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [29/150], Step [100/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [29/150], Step [200/469], Loss: 0.0198,  Classification Accuracy: 100.00
Epoch: [29/150], Step [300/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [29/150], Step [400/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [30/150], Step [100/469], Loss: 0.0233,  Classification Accuracy: 100.00
Epoch: [30/150], Step [200/469], Loss: 0.1461,  Classification Accuracy: 95.31
Epoch: [30/150], Step [300/469], Loss: 0.0254,  Classification Accuracy: 100.00
Epoch: [30/150], Step [400/469], Loss: 0.0561,  Classification Accuracy: 97.66
Epoch: [31/150], Step [100/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [31/150], Step [200/469], Loss: 0.0236,  Classification Accuracy: 100.00
Epoch: [31/150], Step [300/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [31/150], Step [400/469], Loss: 0.0214,  Classification Accuracy: 100.00
Epoch: [32/150], Step [100/469], Loss: 0.0213,  Classification Accuracy: 100.00
Epoch: [32/150], Step [200/469], Loss: 0.0221,  Classification Accuracy: 100.00
Epoch: [32/150], Step [300/469], Loss: 0.0213,  Classification Accuracy: 100.00
Epoch: [32/150], Step [400/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [33/150], Step [100/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [33/150], Step [200/469], Loss: 0.0218,  Classification Accuracy: 100.00
Epoch: [33/150], Step [300/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [33/150], Step [400/469], Loss: 0.0194,  Classification Accuracy: 100.00
Epoch: [34/150], Step [100/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [34/150], Step [200/469], Loss: 0.0215,  Classification Accuracy: 100.00
Epoch: [34/150], Step [300/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [34/150], Step [400/469], Loss: 0.0198,  Classification Accuracy: 100.00
Epoch: [35/150], Step [100/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [35/150], Step [200/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [35/150], Step [300/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [35/150], Step [400/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [36/150], Step [100/469], Loss: 0.0211,  Classification Accuracy: 100.00
Epoch: [36/150], Step [200/469], Loss: 0.0221,  Classification Accuracy: 100.00
Epoch: [36/150], Step [300/469], Loss: 0.0194,  Classification Accuracy: 100.00
Epoch: [36/150], Step [400/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [37/150], Step [100/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [37/150], Step [200/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [37/150], Step [300/469], Loss: 0.0212,  Classification Accuracy: 100.00
Epoch: [37/150], Step [400/469], Loss: 0.0215,  Classification Accuracy: 100.00
Epoch: [38/150], Step [100/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [38/150], Step [200/469], Loss: 0.0211,  Classification Accuracy: 100.00
Epoch: [38/150], Step [300/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [38/150], Step [400/469], Loss: 0.0196,  Classification Accuracy: 100.00
Epoch: [39/150], Step [100/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [39/150], Step [200/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [39/150], Step [300/469], Loss: 0.0198,  Classification Accuracy: 100.00
Epoch: [39/150], Step [400/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [40/150], Step [100/469], Loss: 0.0842,  Classification Accuracy: 98.44
Epoch: [40/150], Step [200/469], Loss: 0.0739,  Classification Accuracy: 96.88
Epoch: [40/150], Step [300/469], Loss: 0.0528,  Classification Accuracy: 99.22
Epoch: [40/150], Step [400/469], Loss: 0.0238,  Classification Accuracy: 100.00
Epoch: [41/150], Step [100/469], Loss: 0.0219,  Classification Accuracy: 100.00
Epoch: [41/150], Step [200/469], Loss: 0.0488,  Classification Accuracy: 99.22
Epoch: [41/150], Step [300/469], Loss: 0.0238,  Classification Accuracy: 100.00
Epoch: [41/150], Step [400/469], Loss: 0.0226,  Classification Accuracy: 100.00
Epoch: [42/150], Step [100/469], Loss: 0.0215,  Classification Accuracy: 100.00
Epoch: [42/150], Step [200/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [42/150], Step [300/469], Loss: 0.0214,  Classification Accuracy: 100.00
Epoch: [42/150], Step [400/469], Loss: 0.0222,  Classification Accuracy: 100.00
Epoch: [43/150], Step [100/469], Loss: 0.0198,  Classification Accuracy: 100.00
Epoch: [43/150], Step [200/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [43/150], Step [300/469], Loss: 0.0217,  Classification Accuracy: 100.00
Epoch: [43/150], Step [400/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [44/150], Step [100/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [44/150], Step [200/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [44/150], Step [300/469], Loss: 0.0214,  Classification Accuracy: 100.00
Epoch: [44/150], Step [400/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [45/150], Step [100/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [45/150], Step [200/469], Loss: 0.0195,  Classification Accuracy: 100.00
Epoch: [45/150], Step [300/469], Loss: 0.0215,  Classification Accuracy: 100.00
Epoch: [45/150], Step [400/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [46/150], Step [100/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [46/150], Step [200/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [46/150], Step [300/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [46/150], Step [400/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [47/150], Step [100/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [47/150], Step [200/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [47/150], Step [300/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [47/150], Step [400/469], Loss: 0.0218,  Classification Accuracy: 100.00
Epoch: [48/150], Step [100/469], Loss: 0.0216,  Classification Accuracy: 100.00
Epoch: [48/150], Step [200/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [48/150], Step [300/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [48/150], Step [400/469], Loss: 0.0218,  Classification Accuracy: 100.00
Epoch: [49/150], Step [100/469], Loss: 0.0214,  Classification Accuracy: 100.00
Epoch: [49/150], Step [200/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [49/150], Step [300/469], Loss: 0.0382,  Classification Accuracy: 99.22
Epoch: [49/150], Step [400/469], Loss: 0.0243,  Classification Accuracy: 100.00
Epoch: [50/150], Step [100/469], Loss: 0.0517,  Classification Accuracy: 98.44
Epoch: [50/150], Step [200/469], Loss: 0.0265,  Classification Accuracy: 100.00
Epoch: [50/150], Step [300/469], Loss: 0.0226,  Classification Accuracy: 100.00
Epoch: [50/150], Step [400/469], Loss: 0.0297,  Classification Accuracy: 100.00
Epoch: [51/150], Step [100/469], Loss: 0.0214,  Classification Accuracy: 100.00
Epoch: [51/150], Step [200/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [51/150], Step [300/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [51/150], Step [400/469], Loss: 0.0216,  Classification Accuracy: 100.00
Epoch: [52/150], Step [100/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [52/150], Step [200/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [52/150], Step [300/469], Loss: 0.0212,  Classification Accuracy: 100.00
Epoch: [52/150], Step [400/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [53/150], Step [100/469], Loss: 0.0222,  Classification Accuracy: 100.00
Epoch: [53/150], Step [200/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [53/150], Step [300/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [53/150], Step [400/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [54/150], Step [100/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [54/150], Step [200/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [54/150], Step [300/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [54/150], Step [400/469], Loss: 0.0215,  Classification Accuracy: 100.00
Epoch: [55/150], Step [100/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [55/150], Step [200/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [55/150], Step [300/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [55/150], Step [400/469], Loss: 0.0213,  Classification Accuracy: 100.00
Epoch: [56/150], Step [100/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [56/150], Step [200/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [56/150], Step [300/469], Loss: 0.0213,  Classification Accuracy: 100.00
Epoch: [56/150], Step [400/469], Loss: 0.0217,  Classification Accuracy: 100.00
Epoch: [57/150], Step [100/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [57/150], Step [200/469], Loss: 0.0212,  Classification Accuracy: 100.00
Epoch: [57/150], Step [300/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [57/150], Step [400/469], Loss: 0.0194,  Classification Accuracy: 100.00
Epoch: [58/150], Step [100/469], Loss: 0.0186,  Classification Accuracy: 100.00
Epoch: [58/150], Step [200/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [58/150], Step [300/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [58/150], Step [400/469], Loss: 0.0212,  Classification Accuracy: 100.00
Epoch: [59/150], Step [100/469], Loss: 0.0308,  Classification Accuracy: 100.00
Epoch: [59/150], Step [200/469], Loss: 0.0384,  Classification Accuracy: 98.44
Epoch: [59/150], Step [300/469], Loss: 0.0221,  Classification Accuracy: 100.00
Epoch: [59/150], Step [400/469], Loss: 0.0355,  Classification Accuracy: 99.22
Epoch: [60/150], Step [100/469], Loss: 0.0288,  Classification Accuracy: 99.22
Epoch: [60/150], Step [200/469], Loss: 0.0220,  Classification Accuracy: 100.00
Epoch: [60/150], Step [300/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [60/150], Step [400/469], Loss: 0.0218,  Classification Accuracy: 100.00
Epoch: [61/150], Step [100/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [61/150], Step [200/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [61/150], Step [300/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [61/150], Step [400/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [62/150], Step [100/469], Loss: 0.0197,  Classification Accuracy: 100.00
Epoch: [62/150], Step [200/469], Loss: 0.0213,  Classification Accuracy: 100.00
Epoch: [62/150], Step [300/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [62/150], Step [400/469], Loss: 0.0196,  Classification Accuracy: 100.00
Epoch: [63/150], Step [100/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [63/150], Step [200/469], Loss: 0.0198,  Classification Accuracy: 100.00
Epoch: [63/150], Step [300/469], Loss: 0.0217,  Classification Accuracy: 100.00
Epoch: [63/150], Step [400/469], Loss: 0.0211,  Classification Accuracy: 100.00
Epoch: [64/150], Step [100/469], Loss: 0.0198,  Classification Accuracy: 100.00
Epoch: [64/150], Step [200/469], Loss: 0.0215,  Classification Accuracy: 100.00
Epoch: [64/150], Step [300/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [64/150], Step [400/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [65/150], Step [100/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [65/150], Step [200/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [65/150], Step [300/469], Loss: 0.0216,  Classification Accuracy: 100.00
Epoch: [65/150], Step [400/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [66/150], Step [100/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [66/150], Step [200/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [66/150], Step [300/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [66/150], Step [400/469], Loss: 0.0194,  Classification Accuracy: 100.00
Epoch: [67/150], Step [100/469], Loss: 0.0197,  Classification Accuracy: 100.00
Epoch: [67/150], Step [200/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [67/150], Step [300/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [67/150], Step [400/469], Loss: 0.0214,  Classification Accuracy: 100.00
Epoch: [68/150], Step [100/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [68/150], Step [200/469], Loss: 0.0214,  Classification Accuracy: 100.00
Epoch: [68/150], Step [300/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [68/150], Step [400/469], Loss: 0.0584,  Classification Accuracy: 97.66
Epoch: [69/150], Step [100/469], Loss: 0.0599,  Classification Accuracy: 98.44
Epoch: [69/150], Step [200/469], Loss: 0.0679,  Classification Accuracy: 97.66
Epoch: [69/150], Step [300/469], Loss: 0.0235,  Classification Accuracy: 100.00
Epoch: [69/150], Step [400/469], Loss: 0.0220,  Classification Accuracy: 100.00
Epoch: [70/150], Step [100/469], Loss: 0.0217,  Classification Accuracy: 100.00
Epoch: [70/150], Step [200/469], Loss: 0.0330,  Classification Accuracy: 99.22
Epoch: [70/150], Step [300/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [70/150], Step [400/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [71/150], Step [100/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [71/150], Step [200/469], Loss: 0.0212,  Classification Accuracy: 100.00
Epoch: [71/150], Step [300/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [71/150], Step [400/469], Loss: 0.0212,  Classification Accuracy: 100.00
Epoch: [72/150], Step [100/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [72/150], Step [200/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [72/150], Step [300/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [72/150], Step [400/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [73/150], Step [100/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [73/150], Step [200/469], Loss: 0.0196,  Classification Accuracy: 100.00
Epoch: [73/150], Step [300/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [73/150], Step [400/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [74/150], Step [100/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [74/150], Step [200/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [74/150], Step [300/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [74/150], Step [400/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [75/150], Step [100/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [75/150], Step [200/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [75/150], Step [300/469], Loss: 0.0211,  Classification Accuracy: 100.00
Epoch: [75/150], Step [400/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [76/150], Step [100/469], Loss: 0.0198,  Classification Accuracy: 100.00
Epoch: [76/150], Step [200/469], Loss: 0.0215,  Classification Accuracy: 100.00
Epoch: [76/150], Step [300/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [76/150], Step [400/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [77/150], Step [100/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [77/150], Step [200/469], Loss: 0.0214,  Classification Accuracy: 100.00
Epoch: [77/150], Step [300/469], Loss: 0.0196,  Classification Accuracy: 100.00
Epoch: [77/150], Step [400/469], Loss: 0.0212,  Classification Accuracy: 100.00
Epoch: [78/150], Step [100/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [78/150], Step [200/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [78/150], Step [300/469], Loss: 0.0196,  Classification Accuracy: 100.00
Epoch: [78/150], Step [400/469], Loss: 0.0808,  Classification Accuracy: 99.22
Epoch: [79/150], Step [100/469], Loss: 0.0326,  Classification Accuracy: 99.22
Epoch: [79/150], Step [200/469], Loss: 0.0262,  Classification Accuracy: 99.22
Epoch: [79/150], Step [300/469], Loss: 0.0322,  Classification Accuracy: 100.00
Epoch: [79/150], Step [400/469], Loss: 0.0266,  Classification Accuracy: 100.00
Epoch: [80/150], Step [100/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [80/150], Step [200/469], Loss: 0.0211,  Classification Accuracy: 100.00
Epoch: [80/150], Step [300/469], Loss: 0.0213,  Classification Accuracy: 100.00
Epoch: [80/150], Step [400/469], Loss: 0.0197,  Classification Accuracy: 100.00
Epoch: [81/150], Step [100/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [81/150], Step [200/469], Loss: 0.0198,  Classification Accuracy: 100.00
Epoch: [81/150], Step [300/469], Loss: 0.0224,  Classification Accuracy: 100.00
Epoch: [81/150], Step [400/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [82/150], Step [100/469], Loss: 0.0189,  Classification Accuracy: 100.00
Epoch: [82/150], Step [200/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [82/150], Step [300/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [82/150], Step [400/469], Loss: 0.0211,  Classification Accuracy: 100.00
Epoch: [83/150], Step [100/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [83/150], Step [200/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [83/150], Step [300/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [83/150], Step [400/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [84/150], Step [100/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [84/150], Step [200/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [84/150], Step [300/469], Loss: 0.0197,  Classification Accuracy: 100.00
Epoch: [84/150], Step [400/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [85/150], Step [100/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [85/150], Step [200/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [85/150], Step [300/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [85/150], Step [400/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [86/150], Step [100/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [86/150], Step [200/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [86/150], Step [300/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [86/150], Step [400/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [87/150], Step [100/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [87/150], Step [200/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [87/150], Step [300/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [87/150], Step [400/469], Loss: 0.0369,  Classification Accuracy: 99.22
Epoch: [88/150], Step [100/469], Loss: 0.0317,  Classification Accuracy: 100.00
Epoch: [88/150], Step [200/469], Loss: 0.0211,  Classification Accuracy: 100.00
Epoch: [88/150], Step [300/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [88/150], Step [400/469], Loss: 0.0282,  Classification Accuracy: 100.00
Epoch: [89/150], Step [100/469], Loss: 0.0234,  Classification Accuracy: 100.00
Epoch: [89/150], Step [200/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [89/150], Step [300/469], Loss: 0.0218,  Classification Accuracy: 100.00
Epoch: [89/150], Step [400/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [90/150], Step [100/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [90/150], Step [200/469], Loss: 0.0213,  Classification Accuracy: 100.00
Epoch: [90/150], Step [300/469], Loss: 0.0219,  Classification Accuracy: 100.00
Epoch: [90/150], Step [400/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [91/150], Step [100/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [91/150], Step [200/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [91/150], Step [300/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [91/150], Step [400/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [92/150], Step [100/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [92/150], Step [200/469], Loss: 0.0196,  Classification Accuracy: 100.00
Epoch: [92/150], Step [300/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [92/150], Step [400/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [93/150], Step [100/469], Loss: 0.0197,  Classification Accuracy: 100.00
Epoch: [93/150], Step [200/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [93/150], Step [300/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [93/150], Step [400/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [94/150], Step [100/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [94/150], Step [200/469], Loss: 0.0194,  Classification Accuracy: 100.00
Epoch: [94/150], Step [300/469], Loss: 0.0185,  Classification Accuracy: 100.00
Epoch: [94/150], Step [400/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [95/150], Step [100/469], Loss: 0.0221,  Classification Accuracy: 100.00
Epoch: [95/150], Step [200/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [95/150], Step [300/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [95/150], Step [400/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [96/150], Step [100/469], Loss: 0.0213,  Classification Accuracy: 100.00
Epoch: [96/150], Step [200/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [96/150], Step [300/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [96/150], Step [400/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [97/150], Step [100/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [97/150], Step [200/469], Loss: 0.0197,  Classification Accuracy: 100.00
Epoch: [97/150], Step [300/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [97/150], Step [400/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [98/150], Step [100/469], Loss: 0.0293,  Classification Accuracy: 99.22
Epoch: [98/150], Step [200/469], Loss: 0.0261,  Classification Accuracy: 100.00
Epoch: [98/150], Step [300/469], Loss: 0.0283,  Classification Accuracy: 100.00
Epoch: [98/150], Step [400/469], Loss: 0.0271,  Classification Accuracy: 100.00
Epoch: [99/150], Step [100/469], Loss: 0.0237,  Classification Accuracy: 100.00
Epoch: [99/150], Step [200/469], Loss: 0.0224,  Classification Accuracy: 100.00
Epoch: [99/150], Step [300/469], Loss: 0.0212,  Classification Accuracy: 100.00
Epoch: [99/150], Step [400/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [100/150], Step [100/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [100/150], Step [200/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [100/150], Step [300/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [100/150], Step [400/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [101/150], Step [100/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [101/150], Step [200/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [101/150], Step [300/469], Loss: 0.0215,  Classification Accuracy: 100.00
Epoch: [101/150], Step [400/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [102/150], Step [100/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [102/150], Step [200/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [102/150], Step [300/469], Loss: 0.0216,  Classification Accuracy: 100.00
Epoch: [102/150], Step [400/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [103/150], Step [100/469], Loss: 0.0196,  Classification Accuracy: 100.00
Epoch: [103/150], Step [200/469], Loss: 0.0214,  Classification Accuracy: 100.00
Epoch: [103/150], Step [300/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [103/150], Step [400/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [104/150], Step [100/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [104/150], Step [200/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [104/150], Step [300/469], Loss: 0.0194,  Classification Accuracy: 100.00
Epoch: [104/150], Step [400/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [105/150], Step [100/469], Loss: 0.0198,  Classification Accuracy: 100.00
Epoch: [105/150], Step [200/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [105/150], Step [300/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [105/150], Step [400/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [106/150], Step [100/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [106/150], Step [200/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [106/150], Step [300/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [106/150], Step [400/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [107/150], Step [100/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [107/150], Step [200/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [107/150], Step [300/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [107/150], Step [400/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [108/150], Step [100/469], Loss: 0.0330,  Classification Accuracy: 99.22
Epoch: [108/150], Step [200/469], Loss: 0.0246,  Classification Accuracy: 100.00
Epoch: [108/150], Step [300/469], Loss: 0.0232,  Classification Accuracy: 100.00
Epoch: [108/150], Step [400/469], Loss: 0.0236,  Classification Accuracy: 100.00
Epoch: [109/150], Step [100/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [109/150], Step [200/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [109/150], Step [300/469], Loss: 0.0198,  Classification Accuracy: 100.00
Epoch: [109/150], Step [400/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [110/150], Step [100/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [110/150], Step [200/469], Loss: 0.0196,  Classification Accuracy: 100.00
Epoch: [110/150], Step [300/469], Loss: 0.0211,  Classification Accuracy: 100.00
Epoch: [110/150], Step [400/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [111/150], Step [100/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [111/150], Step [200/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [111/150], Step [300/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [111/150], Step [400/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [112/150], Step [100/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [112/150], Step [200/469], Loss: 0.0193,  Classification Accuracy: 100.00
Epoch: [112/150], Step [300/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [112/150], Step [400/469], Loss: 0.0187,  Classification Accuracy: 100.00
Epoch: [113/150], Step [100/469], Loss: 0.0197,  Classification Accuracy: 100.00
Epoch: [113/150], Step [200/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [113/150], Step [300/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [113/150], Step [400/469], Loss: 0.0193,  Classification Accuracy: 100.00
Epoch: [114/150], Step [100/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [114/150], Step [200/469], Loss: 0.0214,  Classification Accuracy: 100.00
Epoch: [114/150], Step [300/469], Loss: 0.0197,  Classification Accuracy: 100.00
Epoch: [114/150], Step [400/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [115/150], Step [100/469], Loss: 0.0214,  Classification Accuracy: 100.00
Epoch: [115/150], Step [200/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [115/150], Step [300/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [115/150], Step [400/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [116/150], Step [100/469], Loss: 0.0213,  Classification Accuracy: 100.00
Epoch: [116/150], Step [200/469], Loss: 0.0213,  Classification Accuracy: 100.00
Epoch: [116/150], Step [300/469], Loss: 0.0198,  Classification Accuracy: 100.00
Epoch: [116/150], Step [400/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [117/150], Step [100/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [117/150], Step [200/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [117/150], Step [300/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [117/150], Step [400/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [118/150], Step [100/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [118/150], Step [200/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [118/150], Step [300/469], Loss: 0.0656,  Classification Accuracy: 98.44
Epoch: [118/150], Step [400/469], Loss: 0.0300,  Classification Accuracy: 99.22
Epoch: [119/150], Step [100/469], Loss: 0.0288,  Classification Accuracy: 99.22
Epoch: [119/150], Step [200/469], Loss: 0.0259,  Classification Accuracy: 100.00
Epoch: [119/150], Step [300/469], Loss: 0.0230,  Classification Accuracy: 100.00
Epoch: [119/150], Step [400/469], Loss: 0.0274,  Classification Accuracy: 100.00
Epoch: [120/150], Step [100/469], Loss: 0.0218,  Classification Accuracy: 100.00
Epoch: [120/150], Step [200/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [120/150], Step [300/469], Loss: 0.0222,  Classification Accuracy: 100.00
Epoch: [120/150], Step [400/469], Loss: 0.0231,  Classification Accuracy: 100.00
Epoch: [121/150], Step [100/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [121/150], Step [200/469], Loss: 0.0198,  Classification Accuracy: 100.00
Epoch: [121/150], Step [300/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [121/150], Step [400/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [122/150], Step [100/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [122/150], Step [200/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [122/150], Step [300/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [122/150], Step [400/469], Loss: 0.0197,  Classification Accuracy: 100.00
Epoch: [123/150], Step [100/469], Loss: 0.0195,  Classification Accuracy: 100.00
Epoch: [123/150], Step [200/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [123/150], Step [300/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [123/150], Step [400/469], Loss: 0.0195,  Classification Accuracy: 100.00
Epoch: [124/150], Step [100/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [124/150], Step [200/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [124/150], Step [300/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [124/150], Step [400/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [125/150], Step [100/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [125/150], Step [200/469], Loss: 0.0211,  Classification Accuracy: 100.00
Epoch: [125/150], Step [300/469], Loss: 0.0197,  Classification Accuracy: 100.00
Epoch: [125/150], Step [400/469], Loss: 0.0213,  Classification Accuracy: 100.00
Epoch: [126/150], Step [100/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [126/150], Step [200/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [126/150], Step [300/469], Loss: 0.0197,  Classification Accuracy: 100.00
Epoch: [126/150], Step [400/469], Loss: 0.0195,  Classification Accuracy: 100.00
Epoch: [127/150], Step [100/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [127/150], Step [200/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [127/150], Step [300/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [127/150], Step [400/469], Loss: 0.0197,  Classification Accuracy: 100.00
Epoch: [128/150], Step [100/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [128/150], Step [200/469], Loss: 0.0194,  Classification Accuracy: 100.00
Epoch: [128/150], Step [300/469], Loss: 0.0197,  Classification Accuracy: 100.00
Epoch: [128/150], Step [400/469], Loss: 0.0227,  Classification Accuracy: 100.00
Epoch: [129/150], Step [100/469], Loss: 0.0508,  Classification Accuracy: 99.22
Epoch: [129/150], Step [200/469], Loss: 0.0228,  Classification Accuracy: 100.00
Epoch: [129/150], Step [300/469], Loss: 0.0272,  Classification Accuracy: 100.00
Epoch: [129/150], Step [400/469], Loss: 0.0314,  Classification Accuracy: 99.22
Epoch: [130/150], Step [100/469], Loss: 0.0211,  Classification Accuracy: 100.00
Epoch: [130/150], Step [200/469], Loss: 0.0212,  Classification Accuracy: 100.00
Epoch: [130/150], Step [300/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [130/150], Step [400/469], Loss: 0.0211,  Classification Accuracy: 100.00
Epoch: [131/150], Step [100/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [131/150], Step [200/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [131/150], Step [300/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [131/150], Step [400/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [132/150], Step [100/469], Loss: 0.0196,  Classification Accuracy: 100.00
Epoch: [132/150], Step [200/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [132/150], Step [300/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [132/150], Step [400/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [133/150], Step [100/469], Loss: 0.0197,  Classification Accuracy: 100.00
Epoch: [133/150], Step [200/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [133/150], Step [300/469], Loss: 0.0197,  Classification Accuracy: 100.00
Epoch: [133/150], Step [400/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [134/150], Step [100/469], Loss: 0.0196,  Classification Accuracy: 100.00
Epoch: [134/150], Step [200/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [134/150], Step [300/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [134/150], Step [400/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [135/150], Step [100/469], Loss: 0.0197,  Classification Accuracy: 100.00
Epoch: [135/150], Step [200/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [135/150], Step [300/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [135/150], Step [400/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [136/150], Step [100/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [136/150], Step [200/469], Loss: 0.0212,  Classification Accuracy: 100.00
Epoch: [136/150], Step [300/469], Loss: 0.0194,  Classification Accuracy: 100.00
Epoch: [136/150], Step [400/469], Loss: 0.0198,  Classification Accuracy: 100.00
Epoch: [137/150], Step [100/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [137/150], Step [200/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [137/150], Step [300/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [137/150], Step [400/469], Loss: 0.0195,  Classification Accuracy: 100.00
Epoch: [138/150], Step [100/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [138/150], Step [200/469], Loss: 0.0192,  Classification Accuracy: 100.00
Epoch: [138/150], Step [300/469], Loss: 0.0398,  Classification Accuracy: 98.44
Epoch: [138/150], Step [400/469], Loss: 0.0379,  Classification Accuracy: 99.22
Epoch: [139/150], Step [100/469], Loss: 0.0253,  Classification Accuracy: 100.00
Epoch: [139/150], Step [200/469], Loss: 0.0231,  Classification Accuracy: 100.00
Epoch: [139/150], Step [300/469], Loss: 0.0228,  Classification Accuracy: 100.00
Epoch: [139/150], Step [400/469], Loss: 0.0254,  Classification Accuracy: 100.00
Epoch: [140/150], Step [100/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [140/150], Step [200/469], Loss: 0.0211,  Classification Accuracy: 100.00
Epoch: [140/150], Step [300/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [140/150], Step [400/469], Loss: 0.0223,  Classification Accuracy: 100.00
Epoch: [141/150], Step [100/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [141/150], Step [200/469], Loss: 0.0208,  Classification Accuracy: 100.00
Epoch: [141/150], Step [300/469], Loss: 0.0217,  Classification Accuracy: 100.00
Epoch: [141/150], Step [400/469], Loss: 0.0197,  Classification Accuracy: 100.00
Epoch: [142/150], Step [100/469], Loss: 0.0205,  Classification Accuracy: 100.00
Epoch: [142/150], Step [200/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [142/150], Step [300/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [142/150], Step [400/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [143/150], Step [100/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [143/150], Step [200/469], Loss: 0.0209,  Classification Accuracy: 100.00
Epoch: [143/150], Step [300/469], Loss: 0.0202,  Classification Accuracy: 100.00
Epoch: [143/150], Step [400/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [144/150], Step [100/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [144/150], Step [200/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [144/150], Step [300/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [144/150], Step [400/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [145/150], Step [100/469], Loss: 0.0204,  Classification Accuracy: 100.00
Epoch: [145/150], Step [200/469], Loss: 0.0213,  Classification Accuracy: 100.00
Epoch: [145/150], Step [300/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [145/150], Step [400/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [146/150], Step [100/469], Loss: 0.0195,  Classification Accuracy: 100.00
Epoch: [146/150], Step [200/469], Loss: 0.0210,  Classification Accuracy: 100.00
Epoch: [146/150], Step [300/469], Loss: 0.0201,  Classification Accuracy: 100.00
Epoch: [146/150], Step [400/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [147/150], Step [100/469], Loss: 0.0195,  Classification Accuracy: 100.00
Epoch: [147/150], Step [200/469], Loss: 0.0207,  Classification Accuracy: 100.00
Epoch: [147/150], Step [300/469], Loss: 0.0199,  Classification Accuracy: 100.00
Epoch: [147/150], Step [400/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [148/150], Step [100/469], Loss: 0.0200,  Classification Accuracy: 100.00
Epoch: [148/150], Step [200/469], Loss: 0.0206,  Classification Accuracy: 100.00
Epoch: [148/150], Step [300/469], Loss: 0.0203,  Classification Accuracy: 100.00
Epoch: [148/150], Step [400/469], Loss: 0.0260,  Classification Accuracy: 100.00
Epoch: [149/150], Step [100/469], Loss: 0.0238,  Classification Accuracy: 100.00
Epoch: [149/150], Step [200/469], Loss: 0.0307,  Classification Accuracy: 99.22
Epoch: [149/150], Step [300/469], Loss: 0.0271,  Classification Accuracy: 100.00
Epoch: [149/150], Step [400/469], Loss: 0.0216,  Classification Accuracy: 100.00
Accuracy of the network on the 10000 test images: 99.1100 %
The average reconstruction loss on the network is 481516
Lambda: 0
Epoch: [0/150], Step [100/469], Loss: 0.1230,  Classification Accuracy: 94.53
Epoch: [0/150], Step [200/469], Loss: 0.1103,  Classification Accuracy: 96.09
Epoch: [0/150], Step [300/469], Loss: 0.0920,  Classification Accuracy: 97.66
Epoch: [0/150], Step [400/469], Loss: 0.0721,  Classification Accuracy: 98.44
Epoch: [1/150], Step [100/469], Loss: 0.0156,  Classification Accuracy: 99.22
Epoch: [1/150], Step [200/469], Loss: 0.0660,  Classification Accuracy: 97.66
Epoch: [1/150], Step [300/469], Loss: 0.1375,  Classification Accuracy: 98.44
Epoch: [1/150], Step [400/469], Loss: 0.0680,  Classification Accuracy: 97.66
Epoch: [2/150], Step [100/469], Loss: 0.0560,  Classification Accuracy: 98.44
Epoch: [2/150], Step [200/469], Loss: 0.0361,  Classification Accuracy: 98.44
Epoch: [2/150], Step [300/469], Loss: 0.0553,  Classification Accuracy: 96.88
Epoch: [2/150], Step [400/469], Loss: 0.0209,  Classification Accuracy: 99.22
Epoch: [3/150], Step [100/469], Loss: 0.0518,  Classification Accuracy: 97.66
Epoch: [3/150], Step [200/469], Loss: 0.0267,  Classification Accuracy: 99.22
Epoch: [3/150], Step [300/469], Loss: 0.0660,  Classification Accuracy: 97.66
Epoch: [3/150], Step [400/469], Loss: 0.0109,  Classification Accuracy: 100.00
Epoch: [4/150], Step [100/469], Loss: 0.0198,  Classification Accuracy: 99.22
Epoch: [4/150], Step [200/469], Loss: 0.0025,  Classification Accuracy: 100.00
Epoch: [4/150], Step [300/469], Loss: 0.0085,  Classification Accuracy: 100.00
Epoch: [4/150], Step [400/469], Loss: 0.0212,  Classification Accuracy: 99.22
Epoch: [5/150], Step [100/469], Loss: 0.0069,  Classification Accuracy: 100.00
Epoch: [5/150], Step [200/469], Loss: 0.0053,  Classification Accuracy: 100.00
Epoch: [5/150], Step [300/469], Loss: 0.0179,  Classification Accuracy: 99.22
Epoch: [5/150], Step [400/469], Loss: 0.0022,  Classification Accuracy: 100.00
Epoch: [6/150], Step [100/469], Loss: 0.0022,  Classification Accuracy: 100.00
Epoch: [6/150], Step [200/469], Loss: 0.0058,  Classification Accuracy: 100.00
Epoch: [6/150], Step [300/469], Loss: 0.0020,  Classification Accuracy: 100.00
Epoch: [6/150], Step [400/469], Loss: 0.0005,  Classification Accuracy: 100.00
Epoch: [7/150], Step [100/469], Loss: 0.0090,  Classification Accuracy: 100.00
Epoch: [7/150], Step [200/469], Loss: 0.0011,  Classification Accuracy: 100.00
Epoch: [7/150], Step [300/469], Loss: 0.0640,  Classification Accuracy: 99.22
Epoch: [7/150], Step [400/469], Loss: 0.0015,  Classification Accuracy: 100.00
Epoch: [8/150], Step [100/469], Loss: 0.0004,  Classification Accuracy: 100.00
Epoch: [8/150], Step [200/469], Loss: 0.0010,  Classification Accuracy: 100.00
Epoch: [8/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [8/150], Step [400/469], Loss: 0.0027,  Classification Accuracy: 100.00
Epoch: [9/150], Step [100/469], Loss: 0.0097,  Classification Accuracy: 99.22
Epoch: [9/150], Step [200/469], Loss: 0.0143,  Classification Accuracy: 100.00
Epoch: [9/150], Step [300/469], Loss: 0.0097,  Classification Accuracy: 99.22
Epoch: [9/150], Step [400/469], Loss: 0.0413,  Classification Accuracy: 99.22
Epoch: [10/150], Step [100/469], Loss: 0.0247,  Classification Accuracy: 99.22
Epoch: [10/150], Step [200/469], Loss: 0.0008,  Classification Accuracy: 100.00
Epoch: [10/150], Step [300/469], Loss: 0.0021,  Classification Accuracy: 100.00
Epoch: [10/150], Step [400/469], Loss: 0.0097,  Classification Accuracy: 99.22
Epoch: [11/150], Step [100/469], Loss: 0.0048,  Classification Accuracy: 100.00
Epoch: [11/150], Step [200/469], Loss: 0.0026,  Classification Accuracy: 100.00
Epoch: [11/150], Step [300/469], Loss: 0.0019,  Classification Accuracy: 100.00
Epoch: [11/150], Step [400/469], Loss: 0.0015,  Classification Accuracy: 100.00
Epoch: [12/150], Step [100/469], Loss: 0.0229,  Classification Accuracy: 99.22
Epoch: [12/150], Step [200/469], Loss: 0.0058,  Classification Accuracy: 100.00
Epoch: [12/150], Step [300/469], Loss: 0.0328,  Classification Accuracy: 99.22
Epoch: [12/150], Step [400/469], Loss: 0.0106,  Classification Accuracy: 99.22
Epoch: [13/150], Step [100/469], Loss: 0.0035,  Classification Accuracy: 100.00
Epoch: [13/150], Step [200/469], Loss: 0.0108,  Classification Accuracy: 99.22
Epoch: [13/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [13/150], Step [400/469], Loss: 0.0027,  Classification Accuracy: 100.00
Epoch: [14/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [14/150], Step [200/469], Loss: 0.0008,  Classification Accuracy: 100.00
Epoch: [14/150], Step [300/469], Loss: 0.0039,  Classification Accuracy: 100.00
Epoch: [14/150], Step [400/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [15/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [15/150], Step [200/469], Loss: 0.0081,  Classification Accuracy: 100.00
Epoch: [15/150], Step [300/469], Loss: 0.0031,  Classification Accuracy: 100.00
Epoch: [15/150], Step [400/469], Loss: 0.0062,  Classification Accuracy: 100.00
Epoch: [16/150], Step [100/469], Loss: 0.0018,  Classification Accuracy: 100.00
Epoch: [16/150], Step [200/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [16/150], Step [300/469], Loss: 0.0014,  Classification Accuracy: 100.00
Epoch: [16/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [17/150], Step [100/469], Loss: 0.0087,  Classification Accuracy: 99.22
Epoch: [17/150], Step [200/469], Loss: 0.0004,  Classification Accuracy: 100.00
Epoch: [17/150], Step [300/469], Loss: 0.0009,  Classification Accuracy: 100.00
Epoch: [17/150], Step [400/469], Loss: 0.0041,  Classification Accuracy: 100.00
Epoch: [18/150], Step [100/469], Loss: 0.0005,  Classification Accuracy: 100.00
Epoch: [18/150], Step [200/469], Loss: 0.0023,  Classification Accuracy: 100.00
Epoch: [18/150], Step [300/469], Loss: 0.0033,  Classification Accuracy: 100.00
Epoch: [18/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [19/150], Step [100/469], Loss: 0.0179,  Classification Accuracy: 99.22
Epoch: [19/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [19/150], Step [300/469], Loss: 0.0016,  Classification Accuracy: 100.00
Epoch: [19/150], Step [400/469], Loss: 0.0012,  Classification Accuracy: 100.00
Epoch: [20/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [20/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [20/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [20/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [21/150], Step [100/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [21/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [21/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [21/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [22/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [22/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [22/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [22/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [23/150], Step [100/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [23/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [23/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [23/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [24/150], Step [100/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [24/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [24/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [24/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [25/150], Step [100/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [25/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [25/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [25/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [26/150], Step [100/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [26/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [26/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [26/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [27/150], Step [100/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [27/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [27/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [27/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [28/150], Step [100/469], Loss: 0.0057,  Classification Accuracy: 100.00
Epoch: [28/150], Step [200/469], Loss: 0.0202,  Classification Accuracy: 99.22
Epoch: [28/150], Step [300/469], Loss: 0.0019,  Classification Accuracy: 100.00
Epoch: [28/150], Step [400/469], Loss: 0.0223,  Classification Accuracy: 99.22
Epoch: [29/150], Step [100/469], Loss: 0.0015,  Classification Accuracy: 100.00
Epoch: [29/150], Step [200/469], Loss: 0.0009,  Classification Accuracy: 100.00
Epoch: [29/150], Step [300/469], Loss: 0.0006,  Classification Accuracy: 100.00
Epoch: [29/150], Step [400/469], Loss: 0.0020,  Classification Accuracy: 100.00
Epoch: [30/150], Step [100/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [30/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [30/150], Step [300/469], Loss: 0.0005,  Classification Accuracy: 100.00
Epoch: [30/150], Step [400/469], Loss: 0.0005,  Classification Accuracy: 100.00
Epoch: [31/150], Step [100/469], Loss: 0.0015,  Classification Accuracy: 100.00
Epoch: [31/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [31/150], Step [300/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [31/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [32/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [32/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [32/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [32/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [33/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [33/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [33/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [33/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [34/150], Step [100/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [34/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [34/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [34/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [35/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [35/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [35/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [35/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [36/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [36/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [36/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [36/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [37/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [37/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [37/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [37/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [38/150], Step [100/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [38/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [38/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [38/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [39/150], Step [100/469], Loss: 0.0045,  Classification Accuracy: 100.00
Epoch: [39/150], Step [200/469], Loss: 0.0089,  Classification Accuracy: 100.00
Epoch: [39/150], Step [300/469], Loss: 0.0087,  Classification Accuracy: 100.00
Epoch: [39/150], Step [400/469], Loss: 0.0103,  Classification Accuracy: 100.00
Epoch: [40/150], Step [100/469], Loss: 0.0097,  Classification Accuracy: 100.00
Epoch: [40/150], Step [200/469], Loss: 0.0005,  Classification Accuracy: 100.00
Epoch: [40/150], Step [300/469], Loss: 0.0023,  Classification Accuracy: 100.00
Epoch: [40/150], Step [400/469], Loss: 0.0016,  Classification Accuracy: 100.00
Epoch: [41/150], Step [100/469], Loss: 0.0007,  Classification Accuracy: 100.00
Epoch: [41/150], Step [200/469], Loss: 0.0012,  Classification Accuracy: 100.00
Epoch: [41/150], Step [300/469], Loss: 0.0016,  Classification Accuracy: 100.00
Epoch: [41/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [42/150], Step [100/469], Loss: 0.0004,  Classification Accuracy: 100.00
Epoch: [42/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [42/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [42/150], Step [400/469], Loss: 0.0006,  Classification Accuracy: 100.00
Epoch: [43/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [43/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [43/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [43/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [44/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [44/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [44/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [44/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [45/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [45/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [45/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [45/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [46/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [46/150], Step [200/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [46/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [46/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [47/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [47/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [47/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [47/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [48/150], Step [100/469], Loss: 0.0412,  Classification Accuracy: 99.22
Epoch: [48/150], Step [200/469], Loss: 0.0114,  Classification Accuracy: 99.22
Epoch: [48/150], Step [300/469], Loss: 0.0449,  Classification Accuracy: 97.66
Epoch: [48/150], Step [400/469], Loss: 0.0242,  Classification Accuracy: 98.44
Epoch: [49/150], Step [100/469], Loss: 0.0092,  Classification Accuracy: 99.22
Epoch: [49/150], Step [200/469], Loss: 0.0012,  Classification Accuracy: 100.00
Epoch: [49/150], Step [300/469], Loss: 0.0007,  Classification Accuracy: 100.00
Epoch: [49/150], Step [400/469], Loss: 0.0030,  Classification Accuracy: 100.00
Epoch: [50/150], Step [100/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [50/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [50/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [50/150], Step [400/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [51/150], Step [100/469], Loss: 0.0005,  Classification Accuracy: 100.00
Epoch: [51/150], Step [200/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [51/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [51/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [52/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [52/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [52/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [52/150], Step [400/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [53/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [53/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [53/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [53/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [54/150], Step [100/469], Loss: 0.0005,  Classification Accuracy: 100.00
Epoch: [54/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [54/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [54/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [55/150], Step [100/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [55/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [55/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [55/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [56/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [56/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [56/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [56/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [57/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [57/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [57/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [57/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [58/150], Step [100/469], Loss: 0.0237,  Classification Accuracy: 99.22
Epoch: [58/150], Step [200/469], Loss: 0.0020,  Classification Accuracy: 100.00
Epoch: [58/150], Step [300/469], Loss: 0.0514,  Classification Accuracy: 99.22
Epoch: [58/150], Step [400/469], Loss: 0.0100,  Classification Accuracy: 100.00
Epoch: [59/150], Step [100/469], Loss: 0.0046,  Classification Accuracy: 100.00
Epoch: [59/150], Step [200/469], Loss: 0.0099,  Classification Accuracy: 99.22
Epoch: [59/150], Step [300/469], Loss: 0.0005,  Classification Accuracy: 100.00
Epoch: [59/150], Step [400/469], Loss: 0.0037,  Classification Accuracy: 100.00
Epoch: [60/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [60/150], Step [200/469], Loss: 0.0013,  Classification Accuracy: 100.00
Epoch: [60/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [60/150], Step [400/469], Loss: 0.0004,  Classification Accuracy: 100.00
Epoch: [61/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [61/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [61/150], Step [300/469], Loss: 0.0004,  Classification Accuracy: 100.00
Epoch: [61/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [62/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [62/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [62/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [62/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [63/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [63/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [63/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [63/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [64/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [64/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [64/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [64/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [65/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [65/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [65/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [65/150], Step [400/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [66/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [66/150], Step [200/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [66/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [66/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [67/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [67/150], Step [200/469], Loss: 0.0329,  Classification Accuracy: 97.66
Epoch: [67/150], Step [300/469], Loss: 0.0100,  Classification Accuracy: 100.00
Epoch: [67/150], Step [400/469], Loss: 0.0078,  Classification Accuracy: 100.00
Epoch: [68/150], Step [100/469], Loss: 0.0012,  Classification Accuracy: 100.00
Epoch: [68/150], Step [200/469], Loss: 0.0021,  Classification Accuracy: 100.00
Epoch: [68/150], Step [300/469], Loss: 0.0012,  Classification Accuracy: 100.00
Epoch: [68/150], Step [400/469], Loss: 0.0017,  Classification Accuracy: 100.00
Epoch: [69/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [69/150], Step [200/469], Loss: 0.0015,  Classification Accuracy: 100.00
Epoch: [69/150], Step [300/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [69/150], Step [400/469], Loss: 0.0006,  Classification Accuracy: 100.00
Epoch: [70/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [70/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [70/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [70/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [71/150], Step [100/469], Loss: 0.0004,  Classification Accuracy: 100.00
Epoch: [71/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [71/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [71/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [72/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [72/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [72/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [72/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [73/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [73/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [73/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [73/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [74/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [74/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [74/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [74/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [75/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [75/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [75/150], Step [300/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [75/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [76/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [76/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [76/150], Step [300/469], Loss: 0.0108,  Classification Accuracy: 99.22
Epoch: [76/150], Step [400/469], Loss: 0.0409,  Classification Accuracy: 98.44
Epoch: [77/150], Step [100/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [77/150], Step [200/469], Loss: 0.0004,  Classification Accuracy: 100.00
Epoch: [77/150], Step [300/469], Loss: 0.0006,  Classification Accuracy: 100.00
Epoch: [77/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [78/150], Step [100/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [78/150], Step [200/469], Loss: 0.0004,  Classification Accuracy: 100.00
Epoch: [78/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [78/150], Step [400/469], Loss: 0.0010,  Classification Accuracy: 100.00
Epoch: [79/150], Step [100/469], Loss: 0.0008,  Classification Accuracy: 100.00
Epoch: [79/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [79/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [79/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [80/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [80/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [80/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [80/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [81/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [81/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [81/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [81/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [82/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [82/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [82/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [82/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [83/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [83/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [83/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [83/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [84/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [84/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [84/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [84/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [85/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [85/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [85/150], Step [300/469], Loss: 0.0009,  Classification Accuracy: 100.00
Epoch: [85/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [86/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [86/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [86/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [86/150], Step [400/469], Loss: 0.0355,  Classification Accuracy: 98.44
Epoch: [87/150], Step [100/469], Loss: 0.0030,  Classification Accuracy: 100.00
Epoch: [87/150], Step [200/469], Loss: 0.0031,  Classification Accuracy: 100.00
Epoch: [87/150], Step [300/469], Loss: 0.0214,  Classification Accuracy: 99.22
Epoch: [87/150], Step [400/469], Loss: 0.0013,  Classification Accuracy: 100.00
Epoch: [88/150], Step [100/469], Loss: 0.0007,  Classification Accuracy: 100.00
Epoch: [88/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [88/150], Step [300/469], Loss: 0.0012,  Classification Accuracy: 100.00
Epoch: [88/150], Step [400/469], Loss: 0.0009,  Classification Accuracy: 100.00
Epoch: [89/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [89/150], Step [200/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [89/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [89/150], Step [400/469], Loss: 0.0009,  Classification Accuracy: 100.00
Epoch: [90/150], Step [100/469], Loss: 0.0004,  Classification Accuracy: 100.00
Epoch: [90/150], Step [200/469], Loss: 0.0005,  Classification Accuracy: 100.00
Epoch: [90/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [90/150], Step [400/469], Loss: 0.0004,  Classification Accuracy: 100.00
Epoch: [91/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [91/150], Step [200/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [91/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [91/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [92/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [92/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [92/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [92/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [93/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [93/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [93/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [93/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [94/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [94/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [94/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [94/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [95/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [95/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [95/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [95/150], Step [400/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [96/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [96/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [96/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [96/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [97/150], Step [100/469], Loss: 0.0301,  Classification Accuracy: 98.44
Epoch: [97/150], Step [200/469], Loss: 0.0024,  Classification Accuracy: 100.00
Epoch: [97/150], Step [300/469], Loss: 0.0096,  Classification Accuracy: 99.22
Epoch: [97/150], Step [400/469], Loss: 0.0084,  Classification Accuracy: 99.22
Epoch: [98/150], Step [100/469], Loss: 0.0075,  Classification Accuracy: 99.22
Epoch: [98/150], Step [200/469], Loss: 0.0025,  Classification Accuracy: 100.00
Epoch: [98/150], Step [300/469], Loss: 0.0006,  Classification Accuracy: 100.00
Epoch: [98/150], Step [400/469], Loss: 0.0008,  Classification Accuracy: 100.00
Epoch: [99/150], Step [100/469], Loss: 0.0008,  Classification Accuracy: 100.00
Epoch: [99/150], Step [200/469], Loss: 0.0006,  Classification Accuracy: 100.00
Epoch: [99/150], Step [300/469], Loss: 0.0004,  Classification Accuracy: 100.00
Epoch: [99/150], Step [400/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [100/150], Step [100/469], Loss: 0.0004,  Classification Accuracy: 100.00
Epoch: [100/150], Step [200/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [100/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [100/150], Step [400/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [101/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [101/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [101/150], Step [300/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [101/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [102/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [102/150], Step [200/469], Loss: 0.0004,  Classification Accuracy: 100.00
Epoch: [102/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [102/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [103/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [103/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [103/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [103/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [104/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [104/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [104/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [104/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [105/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [105/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [105/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [105/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [106/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [106/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [106/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [106/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [107/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [107/150], Step [200/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [107/150], Step [300/469], Loss: 0.0033,  Classification Accuracy: 100.00
Epoch: [107/150], Step [400/469], Loss: 0.0325,  Classification Accuracy: 98.44
Epoch: [108/150], Step [100/469], Loss: 0.0063,  Classification Accuracy: 100.00
Epoch: [108/150], Step [200/469], Loss: 0.0053,  Classification Accuracy: 100.00
Epoch: [108/150], Step [300/469], Loss: 0.0217,  Classification Accuracy: 99.22
Epoch: [108/150], Step [400/469], Loss: 0.0018,  Classification Accuracy: 100.00
Epoch: [109/150], Step [100/469], Loss: 0.0007,  Classification Accuracy: 100.00
Epoch: [109/150], Step [200/469], Loss: 0.0017,  Classification Accuracy: 100.00
Epoch: [109/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [109/150], Step [400/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [110/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [110/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [110/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [110/150], Step [400/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [111/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [111/150], Step [200/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [111/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [111/150], Step [400/469], Loss: 0.0004,  Classification Accuracy: 100.00
Epoch: [112/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [112/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [112/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [112/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [113/150], Step [100/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [113/150], Step [200/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [113/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [113/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [114/150], Step [100/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [114/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [114/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [114/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [115/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [115/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [115/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [115/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [116/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [116/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [116/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [116/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [117/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [117/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [117/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [117/150], Step [400/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [118/150], Step [100/469], Loss: 0.0091,  Classification Accuracy: 100.00
Epoch: [118/150], Step [200/469], Loss: 0.0053,  Classification Accuracy: 100.00
Epoch: [118/150], Step [300/469], Loss: 0.0015,  Classification Accuracy: 100.00
Epoch: [118/150], Step [400/469], Loss: 0.0069,  Classification Accuracy: 99.22
Epoch: [119/150], Step [100/469], Loss: 0.0011,  Classification Accuracy: 100.00
Epoch: [119/150], Step [200/469], Loss: 0.0005,  Classification Accuracy: 100.00
Epoch: [119/150], Step [300/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [119/150], Step [400/469], Loss: 0.0005,  Classification Accuracy: 100.00
Epoch: [120/150], Step [100/469], Loss: 0.0020,  Classification Accuracy: 100.00
Epoch: [120/150], Step [200/469], Loss: 0.0005,  Classification Accuracy: 100.00
Epoch: [120/150], Step [300/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [120/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [121/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [121/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [121/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [121/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [122/150], Step [100/469], Loss: 0.0004,  Classification Accuracy: 100.00
Epoch: [122/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [122/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [122/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [123/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [123/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [123/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [123/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [124/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [124/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [124/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [124/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [125/150], Step [100/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [125/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [125/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [125/150], Step [400/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [126/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [126/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [126/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [126/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [127/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [127/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [127/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [127/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [128/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [128/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [128/150], Step [300/469], Loss: 0.0175,  Classification Accuracy: 99.22
Epoch: [128/150], Step [400/469], Loss: 0.0362,  Classification Accuracy: 98.44
Epoch: [129/150], Step [100/469], Loss: 0.0048,  Classification Accuracy: 100.00
Epoch: [129/150], Step [200/469], Loss: 0.0005,  Classification Accuracy: 100.00
Epoch: [129/150], Step [300/469], Loss: 0.0007,  Classification Accuracy: 100.00
Epoch: [129/150], Step [400/469], Loss: 0.0065,  Classification Accuracy: 100.00
Epoch: [130/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [130/150], Step [200/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [130/150], Step [300/469], Loss: 0.0016,  Classification Accuracy: 100.00
Epoch: [130/150], Step [400/469], Loss: 0.0006,  Classification Accuracy: 100.00
Epoch: [131/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [131/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [131/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [131/150], Step [400/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [132/150], Step [100/469], Loss: 0.0005,  Classification Accuracy: 100.00
Epoch: [132/150], Step [200/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [132/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [132/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [133/150], Step [100/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [133/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [133/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [133/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [134/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [134/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [134/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [134/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [135/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [135/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [135/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [135/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [136/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [136/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [136/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [136/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [137/150], Step [100/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [137/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [137/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [137/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [138/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [138/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [138/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [138/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [139/150], Step [100/469], Loss: 0.0250,  Classification Accuracy: 99.22
Epoch: [139/150], Step [200/469], Loss: 0.0089,  Classification Accuracy: 99.22
Epoch: [139/150], Step [300/469], Loss: 0.0011,  Classification Accuracy: 100.00
Epoch: [139/150], Step [400/469], Loss: 0.0057,  Classification Accuracy: 100.00
Epoch: [140/150], Step [100/469], Loss: 0.0008,  Classification Accuracy: 100.00
Epoch: [140/150], Step [200/469], Loss: 0.0070,  Classification Accuracy: 100.00
Epoch: [140/150], Step [300/469], Loss: 0.0099,  Classification Accuracy: 99.22
Epoch: [140/150], Step [400/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [141/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [141/150], Step [200/469], Loss: 0.0012,  Classification Accuracy: 100.00
Epoch: [141/150], Step [300/469], Loss: 0.0004,  Classification Accuracy: 100.00
Epoch: [141/150], Step [400/469], Loss: 0.0003,  Classification Accuracy: 100.00
Epoch: [142/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [142/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [142/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [142/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [143/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [143/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [143/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [143/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [144/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [144/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [144/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [144/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [145/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [145/150], Step [200/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [145/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [145/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [146/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [146/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [146/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [146/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [147/150], Step [100/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [147/150], Step [200/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [147/150], Step [300/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [147/150], Step [400/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [148/150], Step [100/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [148/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [148/150], Step [300/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [148/150], Step [400/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [149/150], Step [100/469], Loss: 0.0000,  Classification Accuracy: 100.00
Epoch: [149/150], Step [200/469], Loss: 0.0001,  Classification Accuracy: 100.00
Epoch: [149/150], Step [300/469], Loss: 0.0002,  Classification Accuracy: 100.00
Epoch: [149/150], Step [400/469], Loss: 0.0007,  Classification Accuracy: 100.00
Accuracy of the network on the 10000 test images: 97.9100 %
The average reconstruction loss on the network is 4070310