ROOT  runs-power-flip-cost
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_above_switch
957
25
CONCEPT SAMPLE COUNT concept_above_switch 25 957
687 295
[1,     1] loss: 0.873
[1,     6] loss: 0.137
[1,    11] loss: 0.278
[1,    16] loss: 0.258
[1,    21] loss: 0.071
[1,    26] loss: 0.008
[1,    31] loss: 0.198
[1,    36] loss: 0.060
[1,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[2,     1] loss: 0.064
[2,     6] loss: 0.000
[2,    11] loss: 0.004
[2,    16] loss: 0.003
[2,    21] loss: 0.000
[2,    26] loss: 0.008
[2,    31] loss: 0.000
[2,    36] loss: 0.034
[2,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[3,     1] loss: 0.047
[3,     6] loss: 0.001
[3,    11] loss: 0.016
[3,    16] loss: 0.004
[3,    21] loss: 0.003
[3,    26] loss: 0.000
[3,    31] loss: 0.000
[3,    36] loss: 0.000
[3,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.000
[4,     6] loss: 0.000
[4,    11] loss: 0.000
[4,    16] loss: 0.000
[4,    21] loss: 0.000
[4,    26] loss: 0.000
[4,    31] loss: 0.002
[4,    36] loss: 0.000
[4,    41] loss: 0.003
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.003
[5,     6] loss: 0.000
[5,    11] loss: 0.002
[5,    16] loss: 0.002
[5,    21] loss: 0.000
[5,    26] loss: 0.002
[5,    31] loss: 0.002
[5,    36] loss: 0.000
[5,    41] loss: 0.003
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.000
[6,     6] loss: 0.007
[6,    11] loss: 0.000
[6,    16] loss: 0.000
[6,    21] loss: 0.000
[6,    26] loss: 0.000
[6,    31] loss: 0.000
[6,    36] loss: 0.000
[6,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.000
[7,     6] loss: 0.001
[7,    11] loss: 0.000
[7,    16] loss: 0.002
[7,    21] loss: 0.000
[7,    26] loss: 0.005
[7,    31] loss: 0.000
[7,    36] loss: 0.000
[7,    41] loss: 0.004
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.000
[8,     6] loss: 0.000
[8,    11] loss: 0.005
[8,    16] loss: 0.000
[8,    21] loss: 0.000
[8,    26] loss: 0.000
[8,    31] loss: 0.000
[8,    36] loss: 0.001
[8,    41] loss: 0.003
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.000
[9,     6] loss: 0.000
[9,    11] loss: 0.004
[9,    16] loss: 0.000
[9,    21] loss: 0.001
[9,    26] loss: 0.001
[9,    31] loss: 0.002
[9,    36] loss: 0.000
[9,    41] loss: 0.004
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.000
[10,     6] loss: 0.000
[10,    11] loss: 0.000
[10,    16] loss: 0.000
[10,    21] loss: 0.000
[10,    26] loss: 0.001
[10,    31] loss: 0.001
[10,    36] loss: 0.000
[10,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.001
[11,     6] loss: 0.000
[11,    11] loss: 0.002
[11,    16] loss: 0.000
[11,    21] loss: 0.000
[11,    26] loss: 0.000
[11,    31] loss: 0.002
[11,    36] loss: 0.000
[11,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.002
[12,     6] loss: 0.001
[12,    11] loss: 0.000
[12,    16] loss: 0.002
[12,    21] loss: 0.001
[12,    26] loss: 0.000
[12,    31] loss: 0.000
[12,    36] loss: 0.005
[12,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.000
[13,     6] loss: 0.000
[13,    11] loss: 0.002
[13,    16] loss: 0.002
[13,    21] loss: 0.000
[13,    26] loss: 0.002
[13,    31] loss: 0.000
[13,    36] loss: 0.001
[13,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.000
[14,     6] loss: 0.001
[14,    11] loss: 0.000
[14,    16] loss: 0.001
[14,    21] loss: 0.001
[14,    26] loss: 0.001
[14,    31] loss: 0.000
[14,    36] loss: 0.000
[14,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.000
[15,     6] loss: 0.224
[15,    11] loss: 0.067
[15,    16] loss: 0.008
[15,    21] loss: 0.007
[15,    26] loss: 0.003
[15,    31] loss: 0.002
[15,    36] loss: 0.005
[15,    41] loss: 0.005
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.003
[16,     6] loss: 0.002
[16,    11] loss: 0.002
[16,    16] loss: 0.002
[16,    21] loss: 0.004
[16,    26] loss: 0.002
[16,    31] loss: 0.001
[16,    36] loss: 0.001
[16,    41] loss: 0.003
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.001
[17,     6] loss: 0.003
[17,    11] loss: 0.002
[17,    16] loss: 0.001
[17,    21] loss: 0.001
[17,    26] loss: 0.001
[17,    31] loss: 0.001
[17,    36] loss: 0.001
[17,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.001
[18,     6] loss: 0.001
[18,    11] loss: 0.002
[18,    16] loss: 0.003
[18,    21] loss: 0.001
[18,    26] loss: 0.001
[18,    31] loss: 0.002
[18,    36] loss: 0.000
[18,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.000
[19,     6] loss: 0.001
[19,    11] loss: 0.000
[19,    16] loss: 0.003
[19,    21] loss: 0.002
[19,    26] loss: 0.001
[19,    31] loss: 0.006
[19,    36] loss: 0.001
[19,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.000
[20,     6] loss: 0.001
[20,    11] loss: 0.001
[20,    16] loss: 0.000
[20,    21] loss: 0.001
[20,    26] loss: 0.000
[20,    31] loss: 0.001
[20,    36] loss: 0.003
[20,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.001
[21,     6] loss: 0.001
[21,    11] loss: 0.001
[21,    16] loss: 0.000
[21,    21] loss: 0.000
[21,    26] loss: 0.000
[21,    31] loss: 0.001
[21,    36] loss: 0.003
[21,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.005
[22,     6] loss: 0.000
[22,    11] loss: 0.003
[22,    16] loss: 0.000
[22,    21] loss: 0.000
[22,    26] loss: 0.000
[22,    31] loss: 0.001
[22,    36] loss: 0.001
[22,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.004
[23,     6] loss: 0.002
[23,    11] loss: 0.000
[23,    16] loss: 0.000
[23,    21] loss: 0.000
[23,    26] loss: 0.000
[23,    31] loss: 0.000
[23,    36] loss: 0.000
[23,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.000
[24,     6] loss: 0.000
[24,    11] loss: 0.000
[24,    16] loss: 0.001
[24,    21] loss: 0.000
[24,    26] loss: 0.001
[24,    31] loss: 0.003
[24,    36] loss: 0.000
[24,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.001
[25,     6] loss: 0.000
[25,    11] loss: 0.000
[25,    16] loss: 0.001
[25,    21] loss: 0.000
[25,    26] loss: 0.000
[25,    31] loss: 0.000
[25,    36] loss: 0.002
[25,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.000
[26,     6] loss: 0.002
[26,    11] loss: 0.002
[26,    16] loss: 0.000
[26,    21] loss: 0.000
[26,    26] loss: 0.000
[26,    31] loss: 0.001
[26,    36] loss: 0.000
[26,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.000
[27,     6] loss: 0.001
[27,    11] loss: 0.001
[27,    16] loss: 0.000
[27,    21] loss: 0.000
[27,    26] loss: 0.000
[27,    31] loss: 0.001
[27,    36] loss: 0.002
[27,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.000
[28,     6] loss: 0.000
[28,    11] loss: 0.000
[28,    16] loss: 0.003
[28,    21] loss: 0.002
[28,    26] loss: 0.002
[28,    31] loss: 0.002
[28,    36] loss: 0.000
[28,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.001
[29,     6] loss: 0.001
[29,    11] loss: 0.001
[29,    16] loss: 0.000
[29,    21] loss: 0.000
[29,    26] loss: 0.000
[29,    31] loss: 0.001
[29,    36] loss: 0.001
[29,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.002
[30,     6] loss: 0.000
[30,    11] loss: 0.000
[30,    16] loss: 0.000
[30,    21] loss: 0.002
[30,    26] loss: 0.000
[30,    31] loss: 0.001
[30,    36] loss: 0.000
[30,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.017
[31,     6] loss: 0.126
[31,    11] loss: 0.005
[31,    16] loss: 0.019
[31,    21] loss: 0.001
[31,    26] loss: 0.001
[31,    31] loss: 0.008
[31,    36] loss: 0.000
[31,    41] loss: 0.013
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.000
[32,     6] loss: 0.003
[32,    11] loss: 0.000
[32,    16] loss: 0.000
[32,    21] loss: 0.000
[32,    26] loss: 0.000
[32,    31] loss: 0.002
[32,    36] loss: 0.002
[32,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.000
[33,     6] loss: 0.000
[33,    11] loss: 0.001
[33,    16] loss: 0.000
[33,    21] loss: 0.000
[33,    26] loss: 0.000
[33,    31] loss: 0.003
[33,    36] loss: 0.000
[33,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.002
[34,     6] loss: 0.000
[34,    11] loss: 0.000
[34,    16] loss: 0.000
[34,    21] loss: 0.000
[34,    26] loss: 0.002
[34,    31] loss: 0.001
[34,    36] loss: 0.002
[34,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.002
[35,     6] loss: 0.003
[35,    11] loss: 0.001
[35,    16] loss: 0.002
[35,    21] loss: 0.000
[35,    26] loss: 0.000
[35,    31] loss: 0.000
[35,    36] loss: 0.000
[35,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.000
[36,     6] loss: 0.002
[36,    11] loss: 0.003
[36,    16] loss: 0.000
[36,    21] loss: 0.001
[36,    26] loss: 0.001
[36,    31] loss: 0.001
[36,    36] loss: 0.000
[36,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.000
[37,     6] loss: 0.000
[37,    11] loss: 0.002
[37,    16] loss: 0.000
[37,    21] loss: 0.000
[37,    26] loss: 0.002
[37,    31] loss: 0.000
[37,    36] loss: 0.001
[37,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.000
[38,     6] loss: 0.000
[38,    11] loss: 0.000
[38,    16] loss: 0.004
[38,    21] loss: 0.002
[38,    26] loss: 0.001
[38,    31] loss: 0.000
[38,    36] loss: 0.000
[38,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.000
[39,     6] loss: 0.002
[39,    11] loss: 0.000
[39,    16] loss: 0.001
[39,    21] loss: 0.002
[39,    26] loss: 0.000
[39,    31] loss: 0.000
[39,    36] loss: 0.000
[39,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.000
[40,     6] loss: 0.000
[40,    11] loss: 0.002
[40,    16] loss: 0.001
[40,    21] loss: 0.000
[40,    26] loss: 0.001
[40,    31] loss: 0.001
[40,    36] loss: 0.000
[40,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.000
[41,     6] loss: 0.001
[41,    11] loss: 0.000
[41,    16] loss: 0.000
[41,    21] loss: 0.004
[41,    26] loss: 0.001
[41,    31] loss: 0.002
[41,    36] loss: 0.000
[41,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.000
[42,     6] loss: 0.002
[42,    11] loss: 0.001
[42,    16] loss: 0.001
[42,    21] loss: 0.001
[42,    26] loss: 0.000
[42,    31] loss: 0.001
[42,    36] loss: 0.002
[42,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.003
[43,     6] loss: 0.001
[43,    11] loss: 0.000
[43,    16] loss: 0.001
[43,    21] loss: 0.000
[43,    26] loss: 0.001
[43,    31] loss: 0.002
[43,    36] loss: 0.002
[43,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.003
[44,     6] loss: 0.001
[44,    11] loss: 0.002
[44,    16] loss: 0.003
[44,    21] loss: 0.001
[44,    26] loss: 0.000
[44,    31] loss: 0.000
[44,    36] loss: 0.000
[44,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.000
[45,     6] loss: 0.001
[45,    11] loss: 0.001
[45,    16] loss: 0.000
[45,    21] loss: 0.000
[45,    26] loss: 0.001
[45,    31] loss: 0.000
[45,    36] loss: 0.002
[45,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.002
[46,     6] loss: 0.001
[46,    11] loss: 0.002
[46,    16] loss: 0.000
[46,    21] loss: 0.000
[46,    26] loss: 0.000
[46,    31] loss: 0.001
[46,    36] loss: 0.001
[46,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.001
[47,     6] loss: 0.002
[47,    11] loss: 0.001
[47,    16] loss: 0.000
[47,    21] loss: 0.001
[47,    26] loss: 0.002
[47,    31] loss: 0.000
[47,    36] loss: 0.002
[47,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.000
[48,     6] loss: 0.001
[48,    11] loss: 0.000
[48,    16] loss: 0.001
[48,    21] loss: 0.000
[48,    26] loss: 0.002
[48,    31] loss: 0.001
[48,    36] loss: 0.001
[48,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.001
[49,     6] loss: 0.000
[49,    11] loss: 0.002
[49,    16] loss: 0.001
[49,    21] loss: 0.001
[49,    26] loss: 0.002
[49,    31] loss: 0.002
[49,    36] loss: 0.000
[49,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.000
[50,     6] loss: 0.000
[50,    11] loss: 0.001
[50,    16] loss: 0.000
[50,    21] loss: 0.001
[50,    26] loss: 0.001
[50,    31] loss: 0.000
[50,    36] loss: 0.000
[50,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.001
[51,     6] loss: 0.001
[51,    11] loss: 0.001
[51,    16] loss: 0.001
[51,    21] loss: 0.002
[51,    26] loss: 0.000
[51,    31] loss: 0.003
[51,    36] loss: 0.001
[51,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.001
[52,     6] loss: 0.000
[52,    11] loss: 0.000
[52,    16] loss: 0.000
[52,    21] loss: 0.002
[52,    26] loss: 0.000
[52,    31] loss: 0.003
[52,    36] loss: 0.002
[52,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.000
[53,     6] loss: 0.002
[53,    11] loss: 0.001
[53,    16] loss: 0.000
[53,    21] loss: 0.003
[53,    26] loss: 0.000
[53,    31] loss: 0.001
[53,    36] loss: 0.002
[53,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.000
[54,     6] loss: 0.002
[54,    11] loss: 0.000
[54,    16] loss: 0.001
[54,    21] loss: 0.001
[54,    26] loss: 0.000
[54,    31] loss: 0.001
[54,    36] loss: 0.001
[54,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.001
[55,     6] loss: 0.001
[55,    11] loss: 0.000
[55,    16] loss: 0.001
[55,    21] loss: 0.000
[55,    26] loss: 0.000
[55,    31] loss: 0.000
[55,    36] loss: 0.000
[55,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.000
[56,     6] loss: 0.002
[56,    11] loss: 0.000
[56,    16] loss: 0.000
[56,    21] loss: 0.001
[56,    26] loss: 0.000
[56,    31] loss: 0.001
[56,    36] loss: 0.002
[56,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.001
[57,     6] loss: 0.000
[57,    11] loss: 0.000
[57,    16] loss: 0.001
[57,    21] loss: 0.000
[57,    26] loss: 0.001
[57,    31] loss: 0.002
[57,    36] loss: 0.000
[57,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.000
[58,     6] loss: 0.000
[58,    11] loss: 0.000
[58,    16] loss: 0.001
[58,    21] loss: 0.000
[58,    26] loss: 0.000
[58,    31] loss: 0.002
[58,    36] loss: 0.000
[58,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.000
[59,     6] loss: 0.001
[59,    11] loss: 0.001
[59,    16] loss: 0.002
[59,    21] loss: 0.000
[59,    26] loss: 0.000
[59,    31] loss: 0.000
[59,    36] loss: 0.003
[59,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.000
[60,     6] loss: 0.002
[60,    11] loss: 0.000
[60,    16] loss: 0.002
[60,    21] loss: 0.001
[60,    26] loss: 0.001
[60,    31] loss: 0.001
[60,    36] loss: 0.001
[60,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_box_above
949
33
CONCEPT SAMPLE COUNT concept_box_above 33 949
687 295
[1,     1] loss: 0.903
[1,     6] loss: 0.308
[1,    11] loss: 0.019
[1,    16] loss: 0.293
[1,    21] loss: 0.260
[1,    26] loss: 0.079
[1,    31] loss: 0.023
[1,    36] loss: 0.023
[1,    41] loss: 0.346
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[2,     1] loss: 0.286
[2,     6] loss: 0.049
[2,    11] loss: 0.232
[2,    16] loss: 0.301
[2,    21] loss: 0.065
[2,    26] loss: 0.230
[2,    31] loss: 0.236
[2,    36] loss: 0.041
[2,    41] loss: 0.243
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[3,     1] loss: 0.016
[3,     6] loss: 0.010
[3,    11] loss: 0.010
[3,    16] loss: 0.056
[3,    21] loss: 0.054
[3,    26] loss: 0.015
[3,    31] loss: 0.056
[3,    36] loss: 0.425
[3,    41] loss: 0.233
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[4,     1] loss: 0.262
[4,     6] loss: 0.036
[4,    11] loss: 0.467
[4,    16] loss: 0.235
[4,    21] loss: 0.019
[4,    26] loss: 0.019
[4,    31] loss: 0.060
[4,    36] loss: 0.020
[4,    41] loss: 0.330
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[5,     1] loss: 0.042
[5,     6] loss: 0.041
[5,    11] loss: 0.020
[5,    16] loss: 0.080
[5,    21] loss: 0.010
[5,    26] loss: 0.039
[5,    31] loss: 0.261
[5,    36] loss: 0.403
[5,    41] loss: 0.039
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[6,     1] loss: 0.249
[6,     6] loss: 0.082
[6,    11] loss: 0.051
[6,    16] loss: 0.047
[6,    21] loss: 0.014
[6,    26] loss: 0.024
[6,    31] loss: 0.035
[6,    36] loss: 0.242
[6,    41] loss: 0.025
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[7,     1] loss: 0.253
[7,     6] loss: 0.239
[7,    11] loss: 0.030
[7,    16] loss: 0.029
[7,    21] loss: 0.310
[7,    26] loss: 0.259
[7,    31] loss: 0.029
[7,    36] loss: 0.089
[7,    41] loss: 0.057
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[8,     1] loss: 0.266
[8,     6] loss: 0.048
[8,    11] loss: 0.053
[8,    16] loss: 0.293
[8,    21] loss: 0.010
[8,    26] loss: 0.024
[8,    31] loss: 0.686
[8,    36] loss: 0.377
[8,    41] loss: 0.042
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[9,     1] loss: 0.437
[9,     6] loss: 0.268
[9,    11] loss: 0.239
[9,    16] loss: 0.043
[9,    21] loss: 0.249
[9,    26] loss: 0.046
[9,    31] loss: 0.249
[9,    36] loss: 0.026
[9,    41] loss: 0.033
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[10,     1] loss: 0.014
[10,     6] loss: 0.075
[10,    11] loss: 0.025
[10,    16] loss: 0.021
[10,    21] loss: 0.023
[10,    26] loss: 0.904
[10,    31] loss: 0.243
[10,    36] loss: 0.250
[10,    41] loss: 0.500
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[11,     1] loss: 0.030
[11,     6] loss: 0.256
[11,    11] loss: 0.037
[11,    16] loss: 0.056
[11,    21] loss: 0.046
[11,    26] loss: 0.056
[11,    31] loss: 0.067
[11,    36] loss: 0.404
[11,    41] loss: 0.025
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[12,     1] loss: 0.455
[12,     6] loss: 0.031
[12,    11] loss: 0.033
[12,    16] loss: 0.052
[12,    21] loss: 0.018
[12,    26] loss: 0.242
[12,    31] loss: 0.237
[12,    36] loss: 0.040
[12,    41] loss: 0.020
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[13,     1] loss: 0.837
[13,     6] loss: 0.234
[13,    11] loss: 0.037
[13,    16] loss: 0.287
[13,    21] loss: 0.234
[13,    26] loss: 0.234
[13,    31] loss: 0.246
[13,    36] loss: 0.031
[13,    41] loss: 0.027
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[14,     1] loss: 0.537
[14,     6] loss: 0.028
[14,    11] loss: 0.017
[14,    16] loss: 0.021
[14,    21] loss: 0.283
[14,    26] loss: 0.048
[14,    31] loss: 0.261
[14,    36] loss: 0.246
[14,    41] loss: 0.074
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[15,     1] loss: 0.059
[15,     6] loss: 0.014
[15,    11] loss: 0.017
[15,    16] loss: 0.038
[15,    21] loss: 0.019
[15,    26] loss: 0.042
[15,    31] loss: 0.066
[15,    36] loss: 0.032
[15,    41] loss: 0.403
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[16,     1] loss: 0.053
[16,     6] loss: 0.235
[16,    11] loss: 0.048
[16,    16] loss: 0.075
[16,    21] loss: 0.121
[16,    26] loss: 0.047
[16,    31] loss: 0.030
[16,    36] loss: 0.253
[16,    41] loss: 0.019
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[17,     1] loss: 0.011
[17,     6] loss: 0.236
[17,    11] loss: 0.053
[17,    16] loss: 0.429
[17,    21] loss: 0.059
[17,    26] loss: 0.014
[17,    31] loss: 0.017
[17,    36] loss: 0.013
[17,    41] loss: 0.264
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[18,     1] loss: 0.037
[18,     6] loss: 0.036
[18,    11] loss: 0.053
[18,    16] loss: 0.034
[18,    21] loss: 0.041
[18,    26] loss: 0.232
[18,    31] loss: 0.520
[18,    36] loss: 0.230
[18,    41] loss: 0.018
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[19,     1] loss: 0.010
[19,     6] loss: 0.237
[19,    11] loss: 0.250
[19,    16] loss: 0.033
[19,    21] loss: 0.260
[19,    26] loss: 0.234
[19,    31] loss: 0.027
[19,    36] loss: 0.091
[19,    41] loss: 0.045
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[20,     1] loss: 0.264
[20,     6] loss: 0.013
[20,    11] loss: 0.075
[20,    16] loss: 0.022
[20,    21] loss: 0.601
[20,    26] loss: 0.231
[20,    31] loss: 0.249
[20,    36] loss: 0.252
[20,    41] loss: 0.013
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[21,     1] loss: 0.008
[21,     6] loss: 0.269
[21,    11] loss: 0.032
[21,    16] loss: 0.293
[21,    21] loss: 0.010
[21,    26] loss: 0.484
[21,    31] loss: 0.231
[21,    36] loss: 0.230
[21,    41] loss: 0.028
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[22,     1] loss: 0.252
[22,     6] loss: 0.264
[22,    11] loss: 0.252
[22,    16] loss: 0.379
[22,    21] loss: 0.025
[22,    26] loss: 0.242
[22,    31] loss: 0.237
[22,    36] loss: 0.032
[22,    41] loss: 0.244
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[23,     1] loss: 0.250
[23,     6] loss: 0.437
[23,    11] loss: 0.021
[23,    16] loss: 0.027
[23,    21] loss: 0.058
[23,    26] loss: 0.030
[23,    31] loss: 0.256
[23,    36] loss: 0.032
[23,    41] loss: 0.064
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[24,     1] loss: 0.024
[24,     6] loss: 0.268
[24,    11] loss: 0.250
[24,    16] loss: 0.019
[24,    21] loss: 0.029
[24,    26] loss: 0.233
[24,    31] loss: 0.250
[24,    36] loss: 0.046
[24,    41] loss: 0.039
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[25,     1] loss: 0.030
[25,     6] loss: 0.236
[25,    11] loss: 0.239
[25,    16] loss: 0.016
[25,    21] loss: 0.244
[25,    26] loss: 0.235
[25,    31] loss: 0.039
[25,    36] loss: 0.025
[25,    41] loss: 0.471
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[26,     1] loss: 0.240
[26,     6] loss: 0.027
[26,    11] loss: 0.027
[26,    16] loss: 0.055
[26,    21] loss: 0.050
[26,    26] loss: 0.022
[26,    31] loss: 0.009
[26,    36] loss: 0.413
[26,    41] loss: 0.066
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[27,     1] loss: 0.045
[27,     6] loss: 0.024
[27,    11] loss: 0.269
[27,    16] loss: 0.022
[27,    21] loss: 0.522
[27,    26] loss: 0.229
[27,    31] loss: 0.051
[27,    36] loss: 0.041
[27,    41] loss: 0.027
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[28,     1] loss: 0.065
[28,     6] loss: 0.439
[28,    11] loss: 0.243
[28,    16] loss: 0.039
[28,    21] loss: 0.019
[28,    26] loss: 0.025
[28,    31] loss: 0.031
[28,    36] loss: 0.030
[28,    41] loss: 0.506
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[29,     1] loss: 0.235
[29,     6] loss: 0.454
[29,    11] loss: 0.239
[29,    16] loss: 0.238
[29,    21] loss: 0.042
[29,    26] loss: 0.031
[29,    31] loss: 0.021
[29,    36] loss: 0.031
[29,    41] loss: 0.254
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[30,     1] loss: 0.032
[30,     6] loss: 0.021
[30,    11] loss: 0.268
[30,    16] loss: 0.238
[30,    21] loss: 0.036
[30,    26] loss: 0.408
[30,    31] loss: 0.490
[30,    36] loss: 0.028
[30,    41] loss: 0.228
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[31,     1] loss: 0.241
[31,     6] loss: 0.015
[31,    11] loss: 0.036
[31,    16] loss: 0.466
[31,    21] loss: 0.096
[31,    26] loss: 0.236
[31,    31] loss: 0.038
[31,    36] loss: 0.278
[31,    41] loss: 0.023
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[32,     1] loss: 0.040
[32,     6] loss: 0.043
[32,    11] loss: 0.251
[32,    16] loss: 0.019
[32,    21] loss: 0.030
[32,    26] loss: 0.037
[32,    31] loss: 0.033
[32,    36] loss: 0.233
[32,    41] loss: 0.411
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[33,     1] loss: 0.040
[33,     6] loss: 0.050
[33,    11] loss: 0.416
[33,    16] loss: 0.048
[33,    21] loss: 0.272
[33,    26] loss: 0.242
[33,    31] loss: 0.026
[33,    36] loss: 0.252
[33,    41] loss: 0.026
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[34,     1] loss: 0.245
[34,     6] loss: 0.033
[34,    11] loss: 0.268
[34,    16] loss: 0.261
[34,    21] loss: 0.389
[34,    26] loss: 0.239
[34,    31] loss: 0.033
[34,    36] loss: 0.042
[34,    41] loss: 0.014
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[35,     1] loss: 0.033
[35,     6] loss: 0.025
[35,    11] loss: 0.019
[35,    16] loss: 0.015
[35,    21] loss: 0.548
[35,    26] loss: 0.062
[35,    31] loss: 0.052
[35,    36] loss: 0.033
[35,    41] loss: 0.040
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[36,     1] loss: 0.254
[36,     6] loss: 0.033
[36,    11] loss: 0.489
[36,    16] loss: 0.027
[36,    21] loss: 0.245
[36,    26] loss: 0.036
[36,    31] loss: 0.027
[36,    36] loss: 0.034
[36,    41] loss: 0.226
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[37,     1] loss: 0.050
[37,     6] loss: 0.272
[37,    11] loss: 0.063
[37,    16] loss: 0.039
[37,    21] loss: 0.037
[37,    26] loss: 0.046
[37,    31] loss: 0.027
[37,    36] loss: 0.023
[37,    41] loss: 0.049
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[38,     1] loss: 0.238
[38,     6] loss: 0.018
[38,    11] loss: 0.057
[38,    16] loss: 0.223
[38,    21] loss: 0.050
[38,    26] loss: 0.238
[38,    31] loss: 0.048
[38,    36] loss: 0.026
[38,    41] loss: 0.032
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[39,     1] loss: 0.274
[39,     6] loss: 0.020
[39,    11] loss: 0.025
[39,    16] loss: 0.307
[39,    21] loss: 0.069
[39,    26] loss: 0.025
[39,    31] loss: 0.271
[39,    36] loss: 0.049
[39,    41] loss: 0.235
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[40,     1] loss: 0.241
[40,     6] loss: 0.271
[40,    11] loss: 0.035
[40,    16] loss: 0.680
[40,    21] loss: 0.027
[40,    26] loss: 0.038
[40,    31] loss: 0.031
[40,    36] loss: 0.022
[40,    41] loss: 0.038
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[41,     1] loss: 0.066
[41,     6] loss: 0.051
[41,    11] loss: 0.050
[41,    16] loss: 0.240
[41,    21] loss: 0.017
[41,    26] loss: 0.419
[41,    31] loss: 0.237
[41,    36] loss: 0.031
[41,    41] loss: 0.465
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[42,     1] loss: 0.042
[42,     6] loss: 0.053
[42,    11] loss: 0.016
[42,    16] loss: 0.018
[42,    21] loss: 0.044
[42,    26] loss: 0.053
[42,    31] loss: 0.040
[42,    36] loss: 0.459
[42,    41] loss: 0.051
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[43,     1] loss: 0.058
[43,     6] loss: 0.230
[43,    11] loss: 0.035
[43,    16] loss: 0.482
[43,    21] loss: 0.038
[43,    26] loss: 0.014
[43,    31] loss: 0.444
[43,    36] loss: 0.047
[43,    41] loss: 0.030
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[44,     1] loss: 0.040
[44,     6] loss: 0.024
[44,    11] loss: 0.238
[44,    16] loss: 0.051
[44,    21] loss: 0.249
[44,    26] loss: 0.231
[44,    31] loss: 0.039
[44,    36] loss: 0.264
[44,    41] loss: 0.247
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[45,     1] loss: 0.248
[45,     6] loss: 0.047
[45,    11] loss: 0.226
[45,    16] loss: 0.030
[45,    21] loss: 0.242
[45,    26] loss: 0.240
[45,    31] loss: 0.041
[45,    36] loss: 0.039
[45,    41] loss: 0.465
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[46,     1] loss: 0.029
[46,     6] loss: 0.261
[46,    11] loss: 0.016
[46,    16] loss: 0.251
[46,    21] loss: 0.046
[46,    26] loss: 0.256
[46,    31] loss: 0.240
[46,    36] loss: 0.245
[46,    41] loss: 0.062
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[47,     1] loss: 0.042
[47,     6] loss: 0.247
[47,    11] loss: 0.033
[47,    16] loss: 0.236
[47,    21] loss: 0.243
[47,    26] loss: 0.045
[47,    31] loss: 0.235
[47,    36] loss: 0.229
[47,    41] loss: 0.031
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[48,     1] loss: 0.027
[48,     6] loss: 0.232
[48,    11] loss: 0.241
[48,    16] loss: 0.240
[48,    21] loss: 0.228
[48,    26] loss: 0.058
[48,    31] loss: 0.017
[48,    36] loss: 0.038
[48,    41] loss: 0.031
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[49,     1] loss: 0.027
[49,     6] loss: 0.020
[49,    11] loss: 0.025
[49,    16] loss: 0.257
[49,    21] loss: 0.055
[49,    26] loss: 0.063
[49,    31] loss: 0.037
[49,    36] loss: 0.243
[49,    41] loss: 0.227
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[50,     1] loss: 0.246
[50,     6] loss: 0.015
[50,    11] loss: 0.033
[50,    16] loss: 0.544
[50,    21] loss: 0.226
[50,    26] loss: 0.055
[50,    31] loss: 0.235
[50,    36] loss: 0.023
[50,    41] loss: 0.050
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[51,     1] loss: 0.234
[51,     6] loss: 0.026
[51,    11] loss: 0.228
[51,    16] loss: 0.034
[51,    21] loss: 0.045
[51,    26] loss: 0.053
[51,    31] loss: 0.023
[51,    36] loss: 0.011
[51,    41] loss: 0.226
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[52,     1] loss: 0.033
[52,     6] loss: 0.014
[52,    11] loss: 0.023
[52,    16] loss: 0.029
[52,    21] loss: 0.057
[52,    26] loss: 0.045
[52,    31] loss: 0.080
[52,    36] loss: 0.029
[52,    41] loss: 0.066
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[53,     1] loss: 0.045
[53,     6] loss: 0.238
[53,    11] loss: 0.036
[53,    16] loss: 0.493
[53,    21] loss: 0.238
[53,    26] loss: 0.017
[53,    31] loss: 0.228
[53,    36] loss: 0.045
[53,    41] loss: 0.038
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[54,     1] loss: 0.035
[54,     6] loss: 0.035
[54,    11] loss: 0.020
[54,    16] loss: 0.046
[54,    21] loss: 0.240
[54,    26] loss: 0.042
[54,    31] loss: 0.503
[54,    36] loss: 0.030
[54,    41] loss: 0.225
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[55,     1] loss: 0.043
[55,     6] loss: 0.027
[55,    11] loss: 0.071
[55,    16] loss: 0.045
[55,    21] loss: 0.045
[55,    26] loss: 0.027
[55,    31] loss: 0.242
[55,    36] loss: 0.023
[55,    41] loss: 0.033
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[56,     1] loss: 0.037
[56,     6] loss: 0.239
[56,    11] loss: 0.051
[56,    16] loss: 0.439
[56,    21] loss: 0.076
[56,    26] loss: 0.037
[56,    31] loss: 0.026
[56,    36] loss: 0.018
[56,    41] loss: 0.231
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[57,     1] loss: 0.258
[57,     6] loss: 0.030
[57,    11] loss: 0.033
[57,    16] loss: 0.262
[57,    21] loss: 0.030
[57,    26] loss: 0.235
[57,    31] loss: 0.421
[57,    36] loss: 0.241
[57,    41] loss: 0.027
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[58,     1] loss: 0.255
[58,     6] loss: 0.086
[58,    11] loss: 0.035
[58,    16] loss: 0.022
[58,    21] loss: 0.237
[58,    26] loss: 0.037
[58,    31] loss: 0.021
[58,    36] loss: 0.254
[58,    41] loss: 0.032
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[59,     1] loss: 0.260
[59,     6] loss: 0.259
[59,    11] loss: 0.037
[59,    16] loss: 0.036
[59,    21] loss: 0.023
[59,    26] loss: 0.058
[59,    31] loss: 0.050
[59,    36] loss: 0.042
[59,    41] loss: 0.265
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[60,     1] loss: 0.020
[60,     6] loss: 0.267
[60,    11] loss: 0.235
[60,    16] loss: 0.241
[60,    21] loss: 0.278
[60,    26] loss: 0.715
[60,    31] loss: 0.049
[60,    36] loss: 0.023
[60,    41] loss: 0.035
[[284   0]
 [ 11   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_box_below
956
26
CONCEPT SAMPLE COUNT concept_box_below 26 956
687 295
[1,     1] loss: 0.647
[1,     6] loss: 0.069
[1,    11] loss: 0.261
[1,    16] loss: 0.004
[1,    21] loss: 0.236
[1,    26] loss: 0.544
[1,    31] loss: 0.010
[1,    36] loss: 0.308
[1,    41] loss: 0.264
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[2,     1] loss: 0.282
[2,     6] loss: 0.015
[2,    11] loss: 0.241
[2,    16] loss: 0.102
[2,    21] loss: 0.230
[2,    26] loss: 0.297
[2,    31] loss: 0.047
[2,    36] loss: 0.015
[2,    41] loss: 0.025
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[3,     1] loss: 0.023
[3,     6] loss: 0.267
[3,    11] loss: 0.238
[3,    16] loss: 0.018
[3,    21] loss: 0.011
[3,    26] loss: 0.239
[3,    31] loss: 0.010
[3,    36] loss: 0.046
[3,    41] loss: 0.256
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[4,     1] loss: 0.272
[4,     6] loss: 0.018
[4,    11] loss: 0.234
[4,    16] loss: 0.058
[4,    21] loss: 0.292
[4,    26] loss: 0.304
[4,    31] loss: 0.077
[4,    36] loss: 0.032
[4,    41] loss: 0.026
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[5,     1] loss: 0.294
[5,     6] loss: 0.017
[5,    11] loss: 0.012
[5,    16] loss: 0.074
[5,    21] loss: 0.024
[5,    26] loss: 0.039
[5,    31] loss: 0.084
[5,    36] loss: 0.261
[5,    41] loss: 0.024
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[6,     1] loss: 0.031
[6,     6] loss: 0.062
[6,    11] loss: 0.029
[6,    16] loss: 0.021
[6,    21] loss: 0.237
[6,    26] loss: 0.021
[6,    31] loss: 0.303
[6,    36] loss: 0.024
[6,    41] loss: 0.013
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[7,     1] loss: 0.617
[7,     6] loss: 0.021
[7,    11] loss: 0.032
[7,    16] loss: 0.015
[7,    21] loss: 0.026
[7,    26] loss: 0.261
[7,    31] loss: 0.011
[7,    36] loss: 0.019
[7,    41] loss: 0.232
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[8,     1] loss: 0.447
[8,     6] loss: 0.029
[8,    11] loss: 0.244
[8,    16] loss: 0.023
[8,    21] loss: 0.021
[8,    26] loss: 0.281
[8,    31] loss: 0.243
[8,    36] loss: 0.013
[8,    41] loss: 0.006
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[9,     1] loss: 0.281
[9,     6] loss: 0.022
[9,    11] loss: 0.034
[9,    16] loss: 0.245
[9,    21] loss: 0.272
[9,    26] loss: 0.029
[9,    31] loss: 0.014
[9,    36] loss: 0.244
[9,    41] loss: 0.058
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[10,     1] loss: 0.018
[10,     6] loss: 0.007
[10,    11] loss: 0.233
[10,    16] loss: 0.248
[10,    21] loss: 0.034
[10,    26] loss: 0.045
[10,    31] loss: 0.011
[10,    36] loss: 0.249
[10,    41] loss: 0.012
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[11,     1] loss: 0.612
[11,     6] loss: 0.014
[11,    11] loss: 0.020
[11,    16] loss: 0.030
[11,    21] loss: 0.240
[11,    26] loss: 0.032
[11,    31] loss: 0.235
[11,    36] loss: 0.014
[11,    41] loss: 0.045
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[12,     1] loss: 0.018
[12,     6] loss: 0.020
[12,    11] loss: 0.022
[12,    16] loss: 0.018
[12,    21] loss: 0.087
[12,    26] loss: 0.275
[12,    31] loss: 0.255
[12,    36] loss: 0.013
[12,    41] loss: 0.233
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[13,     1] loss: 0.037
[13,     6] loss: 0.293
[13,    11] loss: 0.476
[13,    16] loss: 0.260
[13,    21] loss: 0.013
[13,    26] loss: 0.029
[13,    31] loss: 0.243
[13,    36] loss: 0.046
[13,    41] loss: 0.028
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[14,     1] loss: 0.231
[14,     6] loss: 0.435
[14,    11] loss: 0.043
[14,    16] loss: 0.029
[14,    21] loss: 0.024
[14,    26] loss: 0.021
[14,    31] loss: 0.022
[14,    36] loss: 0.045
[14,    41] loss: 0.039
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[15,     1] loss: 0.028
[15,     6] loss: 0.046
[15,    11] loss: 0.044
[15,    16] loss: 0.289
[15,    21] loss: 0.506
[15,    26] loss: 0.016
[15,    31] loss: 0.235
[15,    36] loss: 0.016
[15,    41] loss: 0.030
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[16,     1] loss: 0.535
[16,     6] loss: 0.055
[16,    11] loss: 0.507
[16,    16] loss: 0.030
[16,    21] loss: 0.011
[16,    26] loss: 0.256
[16,    31] loss: 0.020
[16,    36] loss: 0.308
[16,    41] loss: 0.289
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[17,     1] loss: 0.013
[17,     6] loss: 0.019
[17,    11] loss: 0.029
[17,    16] loss: 0.023
[17,    21] loss: 0.017
[17,    26] loss: 0.042
[17,    31] loss: 0.494
[17,    36] loss: 0.017
[17,    41] loss: 0.514
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[18,     1] loss: 0.054
[18,     6] loss: 0.252
[18,    11] loss: 0.037
[18,    16] loss: 0.240
[18,    21] loss: 0.029
[18,    26] loss: 0.054
[18,    31] loss: 0.260
[18,    36] loss: 0.024
[18,    41] loss: 0.272
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[19,     1] loss: 0.017
[19,     6] loss: 0.242
[19,    11] loss: 0.040
[19,    16] loss: 0.012
[19,    21] loss: 0.237
[19,    26] loss: 0.045
[19,    31] loss: 0.027
[19,    36] loss: 0.045
[19,    41] loss: 0.019
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[20,     1] loss: 0.011
[20,     6] loss: 0.280
[20,    11] loss: 0.248
[20,    16] loss: 0.035
[20,    21] loss: 0.022
[20,    26] loss: 0.015
[20,    31] loss: 0.033
[20,    36] loss: 0.038
[20,    41] loss: 0.244
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[21,     1] loss: 0.253
[21,     6] loss: 0.039
[21,    11] loss: 0.260
[21,    16] loss: 0.235
[21,    21] loss: 0.029
[21,    26] loss: 0.025
[21,    31] loss: 0.010
[21,    36] loss: 0.324
[21,    41] loss: 0.020
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[22,     1] loss: 0.024
[22,     6] loss: 0.035
[22,    11] loss: 0.028
[22,    16] loss: 0.042
[22,    21] loss: 0.014
[22,    26] loss: 0.311
[22,    31] loss: 0.017
[22,    36] loss: 0.016
[22,    41] loss: 0.254
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[23,     1] loss: 0.077
[23,     6] loss: 0.272
[23,    11] loss: 0.031
[23,    16] loss: 0.012
[23,    21] loss: 0.248
[23,    26] loss: 0.252
[23,    31] loss: 0.028
[23,    36] loss: 0.263
[23,    41] loss: 0.046
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[24,     1] loss: 0.037
[24,     6] loss: 0.034
[24,    11] loss: 0.239
[24,    16] loss: 0.018
[24,    21] loss: 0.021
[24,    26] loss: 0.042
[24,    31] loss: 0.019
[24,    36] loss: 0.015
[24,    41] loss: 0.777
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[25,     1] loss: 0.237
[25,     6] loss: 0.267
[25,    11] loss: 0.034
[25,    16] loss: 0.013
[25,    21] loss: 0.279
[25,    26] loss: 0.018
[25,    31] loss: 0.253
[25,    36] loss: 0.031
[25,    41] loss: 0.061
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[26,     1] loss: 0.026
[26,     6] loss: 0.033
[26,    11] loss: 0.058
[26,    16] loss: 0.039
[26,    21] loss: 0.019
[26,    26] loss: 0.028
[26,    31] loss: 0.027
[26,    36] loss: 0.065
[26,    41] loss: 0.030
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[27,     1] loss: 0.270
[27,     6] loss: 0.054
[27,    11] loss: 0.029
[27,    16] loss: 0.246
[27,    21] loss: 0.233
[27,    26] loss: 0.027
[27,    31] loss: 0.027
[27,    36] loss: 0.028
[27,    41] loss: 0.011
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[28,     1] loss: 0.309
[28,     6] loss: 0.017
[28,    11] loss: 0.029
[28,    16] loss: 0.017
[28,    21] loss: 0.239
[28,    26] loss: 0.412
[28,    31] loss: 0.028
[28,    36] loss: 0.011
[28,    41] loss: 0.273
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[29,     1] loss: 0.245
[29,     6] loss: 0.021
[29,    11] loss: 0.029
[29,    16] loss: 0.030
[29,    21] loss: 0.027
[29,    26] loss: 0.023
[29,    31] loss: 0.010
[29,    36] loss: 0.330
[29,    41] loss: 0.236
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[30,     1] loss: 0.051
[30,     6] loss: 0.282
[30,    11] loss: 0.024
[30,    16] loss: 0.036
[30,    21] loss: 0.235
[30,    26] loss: 0.025
[30,    31] loss: 0.034
[30,    36] loss: 0.028
[30,    41] loss: 0.018
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[31,     1] loss: 0.257
[31,     6] loss: 0.264
[31,    11] loss: 0.033
[31,    16] loss: 0.034
[31,    21] loss: 0.256
[31,    26] loss: 0.232
[31,    31] loss: 0.018
[31,    36] loss: 0.023
[31,    41] loss: 0.251
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[32,     1] loss: 0.245
[32,     6] loss: 0.015
[32,    11] loss: 0.248
[32,    16] loss: 0.030
[32,    21] loss: 0.018
[32,    26] loss: 0.265
[32,    31] loss: 0.279
[32,    36] loss: 0.030
[32,    41] loss: 0.236
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[33,     1] loss: 0.236
[33,     6] loss: 0.246
[33,    11] loss: 0.484
[33,    16] loss: 0.077
[33,    21] loss: 0.045
[33,    26] loss: 0.016
[33,    31] loss: 0.027
[33,    36] loss: 0.029
[33,    41] loss: 0.253
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[34,     1] loss: 0.269
[34,     6] loss: 0.043
[34,    11] loss: 0.037
[34,    16] loss: 0.026
[34,    21] loss: 0.042
[34,    26] loss: 0.063
[34,    31] loss: 0.018
[34,    36] loss: 0.010
[34,    41] loss: 0.020
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[35,     1] loss: 0.012
[35,     6] loss: 0.020
[35,    11] loss: 0.025
[35,    16] loss: 0.236
[35,    21] loss: 0.018
[35,    26] loss: 0.009
[35,    31] loss: 0.318
[35,    36] loss: 0.240
[35,    41] loss: 0.413
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[36,     1] loss: 0.038
[36,     6] loss: 0.447
[36,    11] loss: 0.033
[36,    16] loss: 0.237
[36,    21] loss: 0.027
[36,    26] loss: 0.241
[36,    31] loss: 0.024
[36,    36] loss: 0.262
[36,    41] loss: 0.014
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[37,     1] loss: 0.019
[37,     6] loss: 0.537
[37,    11] loss: 0.048
[37,    16] loss: 0.039
[37,    21] loss: 0.021
[37,    26] loss: 0.246
[37,    31] loss: 0.023
[37,    36] loss: 0.282
[37,    41] loss: 0.033
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[38,     1] loss: 0.499
[38,     6] loss: 0.046
[38,    11] loss: 0.017
[38,    16] loss: 0.241
[38,    21] loss: 0.027
[38,    26] loss: 0.026
[38,    31] loss: 0.018
[38,    36] loss: 0.030
[38,    41] loss: 0.034
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[39,     1] loss: 0.019
[39,     6] loss: 0.025
[39,    11] loss: 0.499
[39,    16] loss: 0.024
[39,    21] loss: 0.241
[39,    26] loss: 0.036
[39,    31] loss: 0.261
[39,    36] loss: 0.278
[39,    41] loss: 0.034
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[40,     1] loss: 0.017
[40,     6] loss: 0.263
[40,    11] loss: 0.015
[40,    16] loss: 0.261
[40,    21] loss: 0.270
[40,    26] loss: 0.021
[40,    31] loss: 0.035
[40,    36] loss: 0.503
[40,    41] loss: 0.031
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[41,     1] loss: 0.237
[41,     6] loss: 0.029
[41,    11] loss: 0.497
[41,    16] loss: 0.019
[41,    21] loss: 0.025
[41,    26] loss: 0.033
[41,    31] loss: 0.284
[41,    36] loss: 0.017
[41,    41] loss: 0.026
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[42,     1] loss: 0.066
[42,     6] loss: 0.239
[42,    11] loss: 0.029
[42,    16] loss: 0.482
[42,    21] loss: 0.225
[42,    26] loss: 0.024
[42,    31] loss: 0.021
[42,    36] loss: 0.031
[42,    41] loss: 0.025
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[43,     1] loss: 0.261
[43,     6] loss: 0.036
[43,    11] loss: 0.035
[43,    16] loss: 0.241
[43,    21] loss: 0.030
[43,    26] loss: 0.031
[43,    31] loss: 0.037
[43,    36] loss: 0.256
[43,    41] loss: 0.021
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[44,     1] loss: 0.013
[44,     6] loss: 0.272
[44,    11] loss: 0.012
[44,    16] loss: 0.012
[44,    21] loss: 0.031
[44,    26] loss: 0.490
[44,    31] loss: 0.244
[44,    36] loss: 0.058
[44,    41] loss: 0.031
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[45,     1] loss: 0.018
[45,     6] loss: 0.451
[45,    11] loss: 0.030
[45,    16] loss: 0.257
[45,    21] loss: 0.020
[45,    26] loss: 0.010
[45,    31] loss: 0.013
[45,    36] loss: 0.248
[45,    41] loss: 0.243
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[46,     1] loss: 0.034
[46,     6] loss: 0.029
[46,    11] loss: 0.019
[46,    16] loss: 0.247
[46,    21] loss: 0.489
[46,    26] loss: 0.240
[46,    31] loss: 0.254
[46,    36] loss: 0.251
[46,    41] loss: 0.033
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[47,     1] loss: 0.269
[47,     6] loss: 0.044
[47,    11] loss: 0.021
[47,    16] loss: 0.011
[47,    21] loss: 0.007
[47,    26] loss: 0.026
[47,    31] loss: 0.247
[47,    36] loss: 0.226
[47,    41] loss: 0.025
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[48,     1] loss: 0.271
[48,     6] loss: 0.257
[48,    11] loss: 0.017
[48,    16] loss: 0.016
[48,    21] loss: 0.542
[48,    26] loss: 0.044
[48,    31] loss: 0.039
[48,    36] loss: 0.026
[48,    41] loss: 0.018
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[49,     1] loss: 0.023
[49,     6] loss: 0.012
[49,    11] loss: 0.020
[49,    16] loss: 0.011
[49,    21] loss: 0.252
[49,    26] loss: 0.053
[49,    31] loss: 0.018
[49,    36] loss: 0.033
[49,    41] loss: 0.034
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[50,     1] loss: 0.032
[50,     6] loss: 0.031
[50,    11] loss: 0.019
[50,    16] loss: 0.497
[50,    21] loss: 0.025
[50,    26] loss: 0.482
[50,    31] loss: 0.020
[50,    36] loss: 0.249
[50,    41] loss: 0.022
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[51,     1] loss: 0.473
[51,     6] loss: 0.031
[51,    11] loss: 0.248
[51,    16] loss: 0.046
[51,    21] loss: 0.018
[51,    26] loss: 0.023
[51,    31] loss: 0.041
[51,    36] loss: 0.022
[51,    41] loss: 0.267
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[52,     1] loss: 0.017
[52,     6] loss: 0.237
[52,    11] loss: 0.017
[52,    16] loss: 0.712
[52,    21] loss: 0.048
[52,    26] loss: 0.038
[52,    31] loss: 0.026
[52,    36] loss: 0.013
[52,    41] loss: 0.015
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[53,     1] loss: 0.507
[53,     6] loss: 0.436
[53,    11] loss: 0.251
[53,    16] loss: 0.028
[53,    21] loss: 0.020
[53,    26] loss: 0.018
[53,    31] loss: 0.023
[53,    36] loss: 0.290
[53,    41] loss: 0.038
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[54,     1] loss: 0.022
[54,     6] loss: 0.272
[54,    11] loss: 0.240
[54,    16] loss: 0.029
[54,    21] loss: 0.033
[54,    26] loss: 0.478
[54,    31] loss: 0.245
[54,    36] loss: 0.017
[54,    41] loss: 0.026
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[55,     1] loss: 0.016
[55,     6] loss: 0.276
[55,    11] loss: 0.022
[55,    16] loss: 0.023
[55,    21] loss: 0.260
[55,    26] loss: 0.030
[55,    31] loss: 0.255
[55,    36] loss: 0.015
[55,    41] loss: 0.240
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[56,     1] loss: 0.033
[56,     6] loss: 0.033
[56,    11] loss: 0.031
[56,    16] loss: 0.033
[56,    21] loss: 0.021
[56,    26] loss: 0.263
[56,    31] loss: 0.254
[56,    36] loss: 0.023
[56,    41] loss: 0.515
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[57,     1] loss: 0.028
[57,     6] loss: 0.013
[57,    11] loss: 0.257
[57,    16] loss: 0.033
[57,    21] loss: 0.036
[57,    26] loss: 0.267
[57,    31] loss: 0.233
[57,    36] loss: 0.045
[57,    41] loss: 0.027
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[58,     1] loss: 0.275
[58,     6] loss: 0.255
[58,    11] loss: 0.259
[58,    16] loss: 0.241
[58,    21] loss: 0.256
[58,    26] loss: 0.025
[58,    31] loss: 0.496
[58,    36] loss: 0.030
[58,    41] loss: 0.265
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[59,     1] loss: 0.016
[59,     6] loss: 0.013
[59,    11] loss: 0.505
[59,    16] loss: 0.246
[59,    21] loss: 0.017
[59,    26] loss: 0.269
[59,    31] loss: 0.243
[59,    36] loss: 0.233
[59,    41] loss: 0.031
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[60,     1] loss: 0.029
[60,     6] loss: 0.237
[60,    11] loss: 0.030
[60,    16] loss: 0.014
[60,    21] loss: 0.518
[60,    26] loss: 0.024
[60,    31] loss: 0.518
[60,    36] loss: 0.024
[60,    41] loss: 0.026
[[286   0]
 [  9   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_box_left
960
22
CONCEPT SAMPLE COUNT concept_box_left 22 960
687 295
[1,     1] loss: 0.547
[1,     6] loss: 0.000
[1,    11] loss: 0.005
[1,    16] loss: 0.250
[1,    21] loss: 0.101
[1,    26] loss: 0.335
[1,    31] loss: 0.053
[1,    36] loss: 0.263
[1,    41] loss: 0.007
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[2,     1] loss: 0.352
[2,     6] loss: 0.058
[2,    11] loss: 0.019
[2,    16] loss: 0.005
[2,    21] loss: 0.287
[2,    26] loss: 0.021
[2,    31] loss: 0.278
[2,    36] loss: 0.012
[2,    41] loss: 0.046
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[3,     1] loss: 0.023
[3,     6] loss: 0.060
[3,    11] loss: 0.007
[3,    16] loss: 0.013
[3,    21] loss: 0.012
[3,    26] loss: 0.218
[3,    31] loss: 0.263
[3,    36] loss: 0.081
[3,    41] loss: 0.013
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[4,     1] loss: 0.007
[4,     6] loss: 0.069
[4,    11] loss: 0.010
[4,    16] loss: 0.011
[4,    21] loss: 0.052
[4,    26] loss: 0.039
[4,    31] loss: 0.056
[4,    36] loss: 0.026
[4,    41] loss: 0.007
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[5,     1] loss: 0.218
[5,     6] loss: 0.018
[5,    11] loss: 0.417
[5,    16] loss: 0.233
[5,    21] loss: 0.025
[5,    26] loss: 0.300
[5,    31] loss: 0.007
[5,    36] loss: 0.317
[5,    41] loss: 0.537
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[6,     1] loss: 0.023
[6,     6] loss: 0.016
[6,    11] loss: 0.240
[6,    16] loss: 0.240
[6,    21] loss: 0.015
[6,    26] loss: 0.244
[6,    31] loss: 0.236
[6,    36] loss: 0.018
[6,    41] loss: 0.006
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[7,     1] loss: 0.004
[7,     6] loss: 0.002
[7,    11] loss: 0.032
[7,    16] loss: 0.249
[7,    21] loss: 0.014
[7,    26] loss: 0.012
[7,    31] loss: 0.043
[7,    36] loss: 0.023
[7,    41] loss: 0.064
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[8,     1] loss: 0.026
[8,     6] loss: 0.031
[8,    11] loss: 0.024
[8,    16] loss: 0.207
[8,    21] loss: 0.030
[8,    26] loss: 0.033
[8,    31] loss: 0.296
[8,    36] loss: 0.020
[8,    41] loss: 0.290
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[9,     1] loss: 0.013
[9,     6] loss: 0.017
[9,    11] loss: 0.074
[9,    16] loss: 0.262
[9,    21] loss: 0.393
[9,    26] loss: 0.013
[9,    31] loss: 0.016
[9,    36] loss: 0.022
[9,    41] loss: 0.033
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[10,     1] loss: 0.013
[10,     6] loss: 0.732
[10,    11] loss: 0.333
[10,    16] loss: 0.014
[10,    21] loss: 0.011
[10,    26] loss: 0.241
[10,    31] loss: 0.039
[10,    36] loss: 0.009
[10,    41] loss: 0.005
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[11,     1] loss: 0.260
[11,     6] loss: 0.033
[11,    11] loss: 0.449
[11,    16] loss: 0.015
[11,    21] loss: 0.022
[11,    26] loss: 0.044
[11,    31] loss: 0.040
[11,    36] loss: 0.259
[11,    41] loss: 0.011
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[12,     1] loss: 0.484
[12,     6] loss: 0.038
[12,    11] loss: 0.017
[12,    16] loss: 0.005
[12,    21] loss: 0.022
[12,    26] loss: 0.009
[12,    31] loss: 0.212
[12,    36] loss: 0.023
[12,    41] loss: 0.030
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[13,     1] loss: 0.012
[13,     6] loss: 0.209
[13,    11] loss: 0.050
[13,    16] loss: 0.224
[13,    21] loss: 0.033
[13,    26] loss: 0.012
[13,    31] loss: 0.012
[13,    36] loss: 0.016
[13,    41] loss: 0.007
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[14,     1] loss: 0.004
[14,     6] loss: 0.025
[14,    11] loss: 0.222
[14,    16] loss: 0.494
[14,    21] loss: 0.198
[14,    26] loss: 0.025
[14,    31] loss: 0.014
[14,    36] loss: 0.207
[14,    41] loss: 0.021
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[15,     1] loss: 0.023
[15,     6] loss: 0.014
[15,    11] loss: 0.040
[15,    16] loss: 0.065
[15,    21] loss: 0.189
[15,    26] loss: 0.014
[15,    31] loss: 0.012
[15,    36] loss: 0.005
[15,    41] loss: 0.201
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[16,     1] loss: 0.018
[16,     6] loss: 0.224
[16,    11] loss: 0.048
[16,    16] loss: 0.008
[16,    21] loss: 0.011
[16,    26] loss: 0.020
[16,    31] loss: 0.025
[16,    36] loss: 0.020
[16,    41] loss: 0.172
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[17,     1] loss: 0.151
[17,     6] loss: 0.173
[17,    11] loss: 0.017
[17,    16] loss: 0.011
[17,    21] loss: 0.235
[17,    26] loss: 0.015
[17,    31] loss: 0.022
[17,    36] loss: 0.027
[17,    41] loss: 0.203
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[18,     1] loss: 0.008
[18,     6] loss: 0.085
[18,    11] loss: 0.006
[18,    16] loss: 0.013
[18,    21] loss: 0.908
[18,    26] loss: 0.041
[18,    31] loss: 0.029
[18,    36] loss: 0.008
[18,    41] loss: 0.030
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[19,     1] loss: 0.008
[19,     6] loss: 0.003
[19,    11] loss: 0.011
[19,    16] loss: 0.267
[19,    21] loss: 0.039
[19,    26] loss: 0.029
[19,    31] loss: 0.003
[19,    36] loss: 0.021
[19,    41] loss: 0.109
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[20,     1] loss: 0.016
[20,     6] loss: 0.157
[20,    11] loss: 0.014
[20,    16] loss: 0.004
[20,    21] loss: 0.010
[20,    26] loss: 0.003
[20,    31] loss: 0.142
[20,    36] loss: 0.009
[20,    41] loss: 0.024
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[21,     1] loss: 0.027
[21,     6] loss: 0.015
[21,    11] loss: 0.417
[21,    16] loss: 0.030
[21,    21] loss: 0.005
[21,    26] loss: 0.008
[21,    31] loss: 0.128
[21,    36] loss: 0.019
[21,    41] loss: 0.012
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[22,     1] loss: 0.006
[22,     6] loss: 0.012
[22,    11] loss: 0.008
[22,    16] loss: 0.005
[22,    21] loss: 0.159
[22,    26] loss: 0.119
[22,    31] loss: 0.006
[22,    36] loss: 0.002
[22,    41] loss: 0.015
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[23,     1] loss: 0.089
[23,     6] loss: 0.001
[23,    11] loss: 0.059
[23,    16] loss: 0.004
[23,    21] loss: 0.021
[23,    26] loss: 0.106
[23,    31] loss: 0.048
[23,    36] loss: 0.020
[23,    41] loss: 0.057
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[24,     1] loss: 0.050
[24,     6] loss: 0.016
[24,    11] loss: 0.003
[24,    16] loss: 0.061
[24,    21] loss: 0.009
[24,    26] loss: 0.073
[24,    31] loss: 0.280
[24,    36] loss: 0.003
[24,    41] loss: 0.005
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[25,     1] loss: 0.003
[25,     6] loss: 0.006
[25,    11] loss: 0.010
[25,    16] loss: 0.014
[25,    21] loss: 0.075
[25,    26] loss: 0.039
[25,    31] loss: 0.110
[25,    36] loss: 0.016
[25,    41] loss: 0.002
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[26,     1] loss: 0.004
[26,     6] loss: 0.052
[26,    11] loss: 0.004
[26,    16] loss: 0.002
[26,    21] loss: 0.054
[26,    26] loss: 0.003
[26,    31] loss: 0.007
[26,    36] loss: 0.009
[26,    41] loss: 0.002
[[289   0]
 [  5   1]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[27,     1] loss: 0.046
[27,     6] loss: 0.001
[27,    11] loss: 0.018
[27,    16] loss: 0.006
[27,    21] loss: 0.006
[27,    26] loss: 0.001
[27,    31] loss: 0.106
[27,    36] loss: 0.009
[27,    41] loss: 0.098
[[289   0]
 [  5   1]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[28,     1] loss: 0.008
[28,     6] loss: 0.001
[28,    11] loss: 0.063
[28,    16] loss: 0.074
[28,    21] loss: 0.004
[28,    26] loss: 0.001
[28,    31] loss: 0.008
[28,    36] loss: 0.006
[28,    41] loss: 0.004
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[29,     1] loss: 0.045
[29,     6] loss: 0.047
[29,    11] loss: 0.045
[29,    16] loss: 0.001
[29,    21] loss: 0.001
[29,    26] loss: 0.001
[29,    31] loss: 0.054
[29,    36] loss: 0.002
[29,    41] loss: 0.055
[[289   0]
 [  3   3]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[30,     1] loss: 0.004
[30,     6] loss: 0.004
[30,    11] loss: 0.048
[30,    16] loss: 0.050
[30,    21] loss: 0.006
[30,    26] loss: 0.002
[30,    31] loss: 0.008
[30,    36] loss: 0.000
[30,    41] loss: 0.014
[[289   0]
 [  1   5]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[31,     1] loss: 0.003
[31,     6] loss: 0.004
[31,    11] loss: 0.007
[31,    16] loss: 0.008
[31,    21] loss: 0.003
[31,    26] loss: 0.007
[31,    31] loss: 0.102
[31,    36] loss: 0.001
[31,    41] loss: 0.016
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[32,     1] loss: 0.000
[32,     6] loss: 0.000
[32,    11] loss: 0.000
[32,    16] loss: 0.003
[32,    21] loss: 0.008
[32,    26] loss: 0.069
[32,    31] loss: 0.044
[32,    36] loss: 0.001
[32,    41] loss: 0.002
[[289   0]
 [  2   4]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[33,     1] loss: 0.044
[33,     6] loss: 0.068
[33,    11] loss: 0.061
[33,    16] loss: 0.044
[33,    21] loss: 0.049
[33,    26] loss: 0.001
[33,    31] loss: 0.000
[33,    36] loss: 0.143
[33,    41] loss: 0.055
[[289   0]
 [  1   5]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[34,     1] loss: 0.015
[34,     6] loss: 0.006
[34,    11] loss: 0.060
[34,    16] loss: 0.003
[34,    21] loss: 0.046
[34,    26] loss: 0.000
[34,    31] loss: 0.044
[34,    36] loss: 0.001
[34,    41] loss: 0.001
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[35,     1] loss: 0.001
[35,     6] loss: 0.043
[35,    11] loss: 0.004
[35,    16] loss: 0.052
[35,    21] loss: 0.004
[35,    26] loss: 0.002
[35,    31] loss: 0.001
[35,    36] loss: 0.043
[35,    41] loss: 0.068
[[289   0]
 [  4   2]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[36,     1] loss: 0.090
[36,     6] loss: 0.050
[36,    11] loss: 0.049
[36,    16] loss: 0.047
[36,    21] loss: 0.070
[36,    26] loss: 0.007
[36,    31] loss: 0.001
[36,    36] loss: 0.002
[36,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.070
[37,     6] loss: 0.002
[37,    11] loss: 0.043
[37,    16] loss: 0.003
[37,    21] loss: 0.002
[37,    26] loss: 0.148
[37,    31] loss: 0.004
[37,    36] loss: 0.002
[37,    41] loss: 0.000
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[38,     1] loss: 0.005
[38,     6] loss: 0.012
[38,    11] loss: 0.004
[38,    16] loss: 0.000
[38,    21] loss: 0.003
[38,    26] loss: 0.002
[38,    31] loss: 0.013
[38,    36] loss: 0.002
[38,    41] loss: 0.046
[[289   0]
 [  2   4]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[39,     1] loss: 0.010
[39,     6] loss: 0.001
[39,    11] loss: 0.047
[39,    16] loss: 0.001
[39,    21] loss: 0.000
[39,    26] loss: 0.005
[39,    31] loss: 0.001
[39,    36] loss: 0.002
[39,    41] loss: 0.002
[[289   0]
 [  1   5]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[40,     1] loss: 0.001
[40,     6] loss: 0.001
[40,    11] loss: 0.007
[40,    16] loss: 0.044
[40,    21] loss: 0.008
[40,    26] loss: 0.004
[40,    31] loss: 0.052
[40,    36] loss: 0.043
[40,    41] loss: 0.004
[[289   0]
 [  3   3]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[41,     1] loss: 0.001
[41,     6] loss: 0.003
[41,    11] loss: 0.002
[41,    16] loss: 0.044
[41,    21] loss: 0.001
[41,    26] loss: 0.001
[41,    31] loss: 0.006
[41,    36] loss: 0.001
[41,    41] loss: 0.048
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.001
[42,     6] loss: 0.001
[42,    11] loss: 0.004
[42,    16] loss: 0.043
[42,    21] loss: 0.009
[42,    26] loss: 0.001
[42,    31] loss: 0.001
[42,    36] loss: 0.014
[42,    41] loss: 0.007
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[43,     1] loss: 0.057
[43,     6] loss: 0.004
[43,    11] loss: 0.006
[43,    16] loss: 0.083
[43,    21] loss: 0.002
[43,    26] loss: 0.001
[43,    31] loss: 0.041
[43,    36] loss: 0.000
[43,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.010
[44,     6] loss: 0.088
[44,    11] loss: 0.002
[44,    16] loss: 0.018
[44,    21] loss: 0.007
[44,    26] loss: 0.046
[44,    31] loss: 0.001
[44,    36] loss: 0.000
[44,    41] loss: 0.046
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[45,     1] loss: 0.000
[45,     6] loss: 0.000
[45,    11] loss: 0.006
[45,    16] loss: 0.003
[45,    21] loss: 0.046
[45,    26] loss: 0.045
[45,    31] loss: 0.054
[45,    36] loss: 0.006
[45,    41] loss: 0.033
[[289   0]
 [  5   1]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[46,     1] loss: 0.001
[46,     6] loss: 0.000
[46,    11] loss: 0.046
[46,    16] loss: 0.002
[46,    21] loss: 0.000
[46,    26] loss: 0.000
[46,    31] loss: 0.072
[46,    36] loss: 0.049
[46,    41] loss: 0.107
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.007
[47,     6] loss: 0.003
[47,    11] loss: 0.001
[47,    16] loss: 0.000
[47,    21] loss: 0.000
[47,    26] loss: 0.001
[47,    31] loss: 0.045
[47,    36] loss: 0.041
[47,    41] loss: 0.058
[[289   0]
 [  2   4]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[48,     1] loss: 0.043
[48,     6] loss: 0.001
[48,    11] loss: 0.027
[48,    16] loss: 0.001
[48,    21] loss: 0.000
[48,    26] loss: 0.000
[48,    31] loss: 0.000
[48,    36] loss: 0.001
[48,    41] loss: 0.001
[[289   0]
 [  1   5]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[49,     1] loss: 0.001
[49,     6] loss: 0.048
[49,    11] loss: 0.048
[49,    16] loss: 0.042
[49,    21] loss: 0.002
[49,    26] loss: 0.049
[49,    31] loss: 0.003
[49,    36] loss: 0.000
[49,    41] loss: 0.000
[[289   0]
 [  4   2]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[50,     1] loss: 0.044
[50,     6] loss: 0.002
[50,    11] loss: 0.002
[50,    16] loss: 0.002
[50,    21] loss: 0.003
[50,    26] loss: 0.043
[50,    31] loss: 0.001
[50,    36] loss: 0.002
[50,    41] loss: 0.001
[[289   0]
 [  2   4]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[51,     1] loss: 0.001
[51,     6] loss: 0.000
[51,    11] loss: 0.000
[51,    16] loss: 0.092
[51,    21] loss: 0.001
[51,    26] loss: 0.004
[51,    31] loss: 0.001
[51,    36] loss: 0.001
[51,    41] loss: 0.000
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[52,     1] loss: 0.001
[52,     6] loss: 0.006
[52,    11] loss: 0.003
[52,    16] loss: 0.054
[52,    21] loss: 0.002
[52,    26] loss: 0.002
[52,    31] loss: 0.047
[52,    36] loss: 0.045
[52,    41] loss: 0.047
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.001
[53,     6] loss: 0.001
[53,    11] loss: 0.008
[53,    16] loss: 0.042
[53,    21] loss: 0.053
[53,    26] loss: 0.003
[53,    31] loss: 0.040
[53,    36] loss: 0.001
[53,    41] loss: 0.047
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.001
[54,     6] loss: 0.003
[54,    11] loss: 0.048
[54,    16] loss: 0.043
[54,    21] loss: 0.000
[54,    26] loss: 0.001
[54,    31] loss: 0.002
[54,    36] loss: 0.001
[54,    41] loss: 0.001
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[55,     1] loss: 0.001
[55,     6] loss: 0.001
[55,    11] loss: 0.044
[55,    16] loss: 0.002
[55,    21] loss: 0.002
[55,    26] loss: 0.001
[55,    31] loss: 0.001
[55,    36] loss: 0.044
[55,    41] loss: 0.042
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.041
[56,     6] loss: 0.084
[56,    11] loss: 0.001
[56,    16] loss: 0.086
[56,    21] loss: 0.009
[56,    26] loss: 0.002
[56,    31] loss: 0.001
[56,    36] loss: 0.051
[56,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.043
[57,     6] loss: 0.001
[57,    11] loss: 0.041
[57,    16] loss: 0.057
[57,    21] loss: 0.042
[57,    26] loss: 0.005
[57,    31] loss: 0.002
[57,    36] loss: 0.041
[57,    41] loss: 0.007
[[289   0]
 [  2   4]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[58,     1] loss: 0.002
[58,     6] loss: 0.001
[58,    11] loss: 0.053
[58,    16] loss: 0.007
[58,    21] loss: 0.049
[58,    26] loss: 0.000
[58,    31] loss: 0.043
[58,    36] loss: 0.002
[58,    41] loss: 0.004
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.088
[59,     6] loss: 0.005
[59,    11] loss: 0.003
[59,    16] loss: 0.002
[59,    21] loss: 0.001
[59,    26] loss: 0.001
[59,    31] loss: 0.013
[59,    36] loss: 0.002
[59,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.000
[60,     6] loss: 0.000
[60,    11] loss: 0.044
[60,    16] loss: 0.042
[60,    21] loss: 0.000
[60,    26] loss: 0.002
[60,    31] loss: 0.001
[60,    36] loss: 0.040
[60,    41] loss: 0.041
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_box_right
957
25
CONCEPT SAMPLE COUNT concept_box_right 25 957
687 295
[1,     1] loss: 0.711
[1,     6] loss: 0.634
[1,    11] loss: 0.025
[1,    16] loss: 0.259
[1,    21] loss: 0.017
[1,    26] loss: 0.007
[1,    31] loss: 0.268
[1,    36] loss: 0.279
[1,    41] loss: 0.255
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[2,     1] loss: 0.219
[2,     6] loss: 0.042
[2,    11] loss: 0.234
[2,    16] loss: 0.051
[2,    21] loss: 0.016
[2,    26] loss: 0.005
[2,    31] loss: 0.237
[2,    36] loss: 0.053
[2,    41] loss: 0.650
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[3,     1] loss: 0.048
[3,     6] loss: 0.224
[3,    11] loss: 0.046
[3,    16] loss: 0.015
[3,    21] loss: 0.020
[3,    26] loss: 0.290
[3,    31] loss: 0.253
[3,    36] loss: 0.263
[3,    41] loss: 0.039
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[4,     1] loss: 0.013
[4,     6] loss: 0.022
[4,    11] loss: 0.028
[4,    16] loss: 0.268
[4,    21] loss: 0.238
[4,    26] loss: 0.229
[4,    31] loss: 0.235
[4,    36] loss: 0.264
[4,    41] loss: 0.288
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[5,     1] loss: 0.255
[5,     6] loss: 0.023
[5,    11] loss: 0.013
[5,    16] loss: 0.223
[5,    21] loss: 0.283
[5,    26] loss: 0.222
[5,    31] loss: 0.037
[5,    36] loss: 0.248
[5,    41] loss: 0.307
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[6,     1] loss: 0.251
[6,     6] loss: 0.227
[6,    11] loss: 0.039
[6,    16] loss: 0.258
[6,    21] loss: 0.296
[6,    26] loss: 0.009
[6,    31] loss: 0.240
[6,    36] loss: 0.035
[6,    41] loss: 0.415
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[7,     1] loss: 0.026
[7,     6] loss: 0.414
[7,    11] loss: 0.035
[7,    16] loss: 0.276
[7,    21] loss: 0.047
[7,    26] loss: 0.040
[7,    31] loss: 0.058
[7,    36] loss: 0.028
[7,    41] loss: 0.020
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[8,     1] loss: 0.287
[8,     6] loss: 0.031
[8,    11] loss: 0.020
[8,    16] loss: 0.028
[8,    21] loss: 0.026
[8,    26] loss: 0.583
[8,    31] loss: 0.034
[8,    36] loss: 0.052
[8,    41] loss: 0.021
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[9,     1] loss: 0.093
[9,     6] loss: 0.011
[9,    11] loss: 0.035
[9,    16] loss: 0.010
[9,    21] loss: 0.226
[9,    26] loss: 0.224
[9,    31] loss: 0.022
[9,    36] loss: 0.007
[9,    41] loss: 0.232
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[10,     1] loss: 0.059
[10,     6] loss: 0.019
[10,    11] loss: 0.028
[10,    16] loss: 0.008
[10,    21] loss: 0.076
[10,    26] loss: 0.035
[10,    31] loss: 0.020
[10,    36] loss: 0.094
[10,    41] loss: 0.238
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[11,     1] loss: 0.022
[11,     6] loss: 0.360
[11,    11] loss: 0.024
[11,    16] loss: 0.037
[11,    21] loss: 0.033
[11,    26] loss: 0.240
[11,    31] loss: 0.024
[11,    36] loss: 0.023
[11,    41] loss: 0.009
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[12,     1] loss: 0.628
[12,     6] loss: 0.050
[12,    11] loss: 0.269
[12,    16] loss: 0.220
[12,    21] loss: 0.048
[12,    26] loss: 0.011
[12,    31] loss: 0.005
[12,    36] loss: 0.020
[12,    41] loss: 0.034
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[13,     1] loss: 0.026
[13,     6] loss: 0.009
[13,    11] loss: 0.063
[13,    16] loss: 0.071
[13,    21] loss: 0.217
[13,    26] loss: 0.045
[13,    31] loss: 0.018
[13,    36] loss: 0.008
[13,    41] loss: 0.004
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[14,     1] loss: 0.254
[14,     6] loss: 0.014
[14,    11] loss: 0.036
[14,    16] loss: 0.251
[14,    21] loss: 0.035
[14,    26] loss: 0.399
[14,    31] loss: 0.030
[14,    36] loss: 0.469
[14,    41] loss: 0.021
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[15,     1] loss: 0.011
[15,     6] loss: 0.278
[15,    11] loss: 0.016
[15,    16] loss: 0.247
[15,    21] loss: 0.236
[15,    26] loss: 0.239
[15,    31] loss: 0.021
[15,    36] loss: 0.026
[15,    41] loss: 0.069
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[16,     1] loss: 0.019
[16,     6] loss: 0.239
[16,    11] loss: 0.023
[16,    16] loss: 0.051
[16,    21] loss: 0.027
[16,    26] loss: 0.229
[16,    31] loss: 0.263
[16,    36] loss: 0.226
[16,    41] loss: 0.223
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[17,     1] loss: 0.236
[17,     6] loss: 0.033
[17,    11] loss: 0.018
[17,    16] loss: 0.226
[17,    21] loss: 0.234
[17,    26] loss: 0.259
[17,    31] loss: 0.236
[17,    36] loss: 0.455
[17,    41] loss: 0.025
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[18,     1] loss: 0.011
[18,     6] loss: 0.020
[18,    11] loss: 0.259
[18,    16] loss: 0.222
[18,    21] loss: 0.018
[18,    26] loss: 0.372
[18,    31] loss: 0.013
[18,    36] loss: 0.022
[18,    41] loss: 0.239
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[19,     1] loss: 0.212
[19,     6] loss: 0.051
[19,    11] loss: 0.022
[19,    16] loss: 0.014
[19,    21] loss: 0.230
[19,    26] loss: 0.238
[19,    31] loss: 0.082
[19,    36] loss: 0.019
[19,    41] loss: 0.261
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[20,     1] loss: 0.252
[20,     6] loss: 0.234
[20,    11] loss: 0.049
[20,    16] loss: 0.049
[20,    21] loss: 0.025
[20,    26] loss: 0.015
[20,    31] loss: 0.019
[20,    36] loss: 0.230
[20,    41] loss: 0.035
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[21,     1] loss: 0.015
[21,     6] loss: 0.032
[21,    11] loss: 0.029
[21,    16] loss: 0.008
[21,    21] loss: 0.014
[21,    26] loss: 0.089
[21,    31] loss: 0.040
[21,    36] loss: 0.041
[21,    41] loss: 0.039
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[22,     1] loss: 0.447
[22,     6] loss: 0.044
[22,    11] loss: 0.034
[22,    16] loss: 0.020
[22,    21] loss: 0.037
[22,    26] loss: 0.015
[22,    31] loss: 0.216
[22,    36] loss: 0.209
[22,    41] loss: 0.014
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[23,     1] loss: 0.035
[23,     6] loss: 0.011
[23,    11] loss: 0.591
[23,    16] loss: 0.015
[23,    21] loss: 0.247
[23,    26] loss: 0.441
[23,    31] loss: 0.077
[23,    36] loss: 0.213
[23,    41] loss: 0.016
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[24,     1] loss: 0.011
[24,     6] loss: 0.005
[24,    11] loss: 0.216
[24,    16] loss: 0.063
[24,    21] loss: 0.032
[24,    26] loss: 0.383
[24,    31] loss: 0.019
[24,    36] loss: 0.007
[24,    41] loss: 0.011
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[25,     1] loss: 0.220
[25,     6] loss: 0.019
[25,    11] loss: 0.024
[25,    16] loss: 0.011
[25,    21] loss: 0.248
[25,    26] loss: 0.036
[25,    31] loss: 0.011
[25,    36] loss: 0.883
[25,    41] loss: 0.055
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[26,     1] loss: 0.230
[26,     6] loss: 0.031
[26,    11] loss: 0.214
[26,    16] loss: 0.240
[26,    21] loss: 0.012
[26,    26] loss: 0.220
[26,    31] loss: 0.020
[26,    36] loss: 0.045
[26,    41] loss: 0.012
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[27,     1] loss: 0.021
[27,     6] loss: 0.009
[27,    11] loss: 0.216
[27,    16] loss: 0.211
[27,    21] loss: 0.236
[27,    26] loss: 0.500
[27,    31] loss: 0.039
[27,    36] loss: 0.202
[27,    41] loss: 0.024
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[28,     1] loss: 0.046
[28,     6] loss: 0.035
[28,    11] loss: 0.424
[28,    16] loss: 0.054
[28,    21] loss: 0.199
[28,    26] loss: 0.024
[28,    31] loss: 0.024
[28,    36] loss: 0.008
[28,    41] loss: 0.022
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[29,     1] loss: 0.014
[29,     6] loss: 0.223
[29,    11] loss: 0.215
[29,    16] loss: 0.337
[29,    21] loss: 0.033
[29,    26] loss: 0.024
[29,    31] loss: 0.008
[29,    36] loss: 0.224
[29,    41] loss: 0.224
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[30,     1] loss: 0.017
[30,     6] loss: 0.187
[30,    11] loss: 0.029
[30,    16] loss: 0.026
[30,    21] loss: 0.355
[30,    26] loss: 0.025
[30,    31] loss: 0.012
[30,    36] loss: 0.013
[30,    41] loss: 0.016
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[31,     1] loss: 0.019
[31,     6] loss: 0.028
[31,    11] loss: 0.029
[31,    16] loss: 0.354
[31,    21] loss: 0.206
[31,    26] loss: 0.037
[31,    31] loss: 0.340
[31,    36] loss: 0.031
[31,    41] loss: 0.238
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[32,     1] loss: 0.198
[32,     6] loss: 0.025
[32,    11] loss: 0.041
[32,    16] loss: 0.023
[32,    21] loss: 0.198
[32,    26] loss: 0.030
[32,    31] loss: 0.012
[32,    36] loss: 0.391
[32,    41] loss: 0.191
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[33,     1] loss: 0.016
[33,     6] loss: 0.190
[33,    11] loss: 0.188
[33,    16] loss: 0.029
[33,    21] loss: 0.045
[33,    26] loss: 0.017
[33,    31] loss: 0.494
[33,    36] loss: 0.408
[33,    41] loss: 0.384
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[34,     1] loss: 0.022
[34,     6] loss: 0.192
[34,    11] loss: 0.040
[34,    16] loss: 0.026
[34,    21] loss: 0.027
[34,    26] loss: 0.022
[34,    31] loss: 0.177
[34,    36] loss: 0.029
[34,    41] loss: 0.022
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[35,     1] loss: 0.155
[35,     6] loss: 0.022
[35,    11] loss: 0.156
[35,    16] loss: 0.007
[35,    21] loss: 0.460
[35,    26] loss: 0.012
[35,    31] loss: 0.144
[35,    36] loss: 0.043
[35,    41] loss: 0.024
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[36,     1] loss: 0.023
[36,     6] loss: 0.274
[36,    11] loss: 0.063
[36,    16] loss: 0.034
[36,    21] loss: 0.207
[36,    26] loss: 0.017
[36,    31] loss: 0.130
[36,    36] loss: 0.112
[36,    41] loss: 0.014
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[37,     1] loss: 0.122
[37,     6] loss: 0.077
[37,    11] loss: 0.005
[37,    16] loss: 0.082
[37,    21] loss: 0.099
[37,    26] loss: 0.002
[37,    31] loss: 0.142
[37,    36] loss: 0.004
[37,    41] loss: 0.007
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[38,     1] loss: 0.069
[38,     6] loss: 0.003
[38,    11] loss: 0.048
[38,    16] loss: 0.083
[38,    21] loss: 0.077
[38,    26] loss: 0.079
[38,    31] loss: 0.010
[38,    36] loss: 0.059
[38,    41] loss: 0.004
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[39,     1] loss: 0.046
[39,     6] loss: 0.017
[39,    11] loss: 0.046
[39,    16] loss: 0.065
[39,    21] loss: 0.065
[39,    26] loss: 0.018
[39,    31] loss: 0.005
[39,    36] loss: 0.009
[39,    41] loss: 0.044
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[40,     1] loss: 0.081
[40,     6] loss: 0.005
[40,    11] loss: 0.006
[40,    16] loss: 0.064
[40,    21] loss: 0.006
[40,    26] loss: 0.047
[40,    31] loss: 0.002
[40,    36] loss: 0.012
[40,    41] loss: 0.002
[[288   0]
 [  5   2]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[41,     1] loss: 0.045
[41,     6] loss: 0.001
[41,    11] loss: 0.003
[41,    16] loss: 0.048
[41,    21] loss: 0.045
[41,    26] loss: 0.003
[41,    31] loss: 0.006
[41,    36] loss: 0.002
[41,    41] loss: 0.008
[[288   0]
 [  5   2]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[42,     1] loss: 0.001
[42,     6] loss: 0.063
[42,    11] loss: 0.006
[42,    16] loss: 0.002
[42,    21] loss: 0.001
[42,    26] loss: 0.009
[42,    31] loss: 0.047
[42,    36] loss: 0.002
[42,    41] loss: 0.044
[[288   0]
 [  3   4]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[43,     1] loss: 0.054
[43,     6] loss: 0.002
[43,    11] loss: 0.002
[43,    16] loss: 0.001
[43,    21] loss: 0.001
[43,    26] loss: 0.104
[43,    31] loss: 0.002
[43,    36] loss: 0.046
[43,    41] loss: 0.003
[[288   0]
 [  2   5]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[44,     1] loss: 0.002
[44,     6] loss: 0.004
[44,    11] loss: 0.050
[44,    16] loss: 0.046
[44,    21] loss: 0.005
[44,    26] loss: 0.043
[44,    31] loss: 0.001
[44,    36] loss: 0.092
[44,    41] loss: 0.054
[[288   0]
 [  5   2]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[45,     1] loss: 0.003
[45,     6] loss: 0.088
[45,    11] loss: 0.001
[45,    16] loss: 0.009
[45,    21] loss: 0.003
[45,    26] loss: 0.086
[45,    31] loss: 0.002
[45,    36] loss: 0.000
[45,    41] loss: 0.001
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[46,     1] loss: 0.090
[46,     6] loss: 0.002
[46,    11] loss: 0.044
[46,    16] loss: 0.003
[46,    21] loss: 0.003
[46,    26] loss: 0.054
[46,    31] loss: 0.002
[46,    36] loss: 0.002
[46,    41] loss: 0.002
[[288   0]
 [  2   5]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[47,     1] loss: 0.046
[47,     6] loss: 0.002
[47,    11] loss: 0.002
[47,    16] loss: 0.001
[47,    21] loss: 0.003
[47,    26] loss: 0.055
[47,    31] loss: 0.002
[47,    36] loss: 0.061
[47,    41] loss: 0.002
[[288   0]
 [  2   5]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[48,     1] loss: 0.047
[48,     6] loss: 0.001
[48,    11] loss: 0.042
[48,    16] loss: 0.003
[48,    21] loss: 0.001
[48,    26] loss: 0.005
[48,    31] loss: 0.039
[48,    36] loss: 0.001
[48,    41] loss: 0.039
[[288   0]
 [  2   5]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[49,     1] loss: 0.005
[49,     6] loss: 0.048
[49,    11] loss: 0.004
[49,    16] loss: 0.033
[49,    21] loss: 0.003
[49,    26] loss: 0.056
[49,    31] loss: 0.036
[49,    36] loss: 0.100
[49,    41] loss: 0.003
[[288   0]
 [  2   5]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[50,     1] loss: 0.041
[50,     6] loss: 0.041
[50,    11] loss: 0.001
[50,    16] loss: 0.001
[50,    21] loss: 0.026
[50,    26] loss: 0.058
[50,    31] loss: 0.001
[50,    36] loss: 0.024
[50,    41] loss: 0.020
[[288   0]
 [  2   5]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[51,     1] loss: 0.000
[51,     6] loss: 0.007
[51,    11] loss: 0.000
[51,    16] loss: 0.002
[51,    21] loss: 0.013
[51,    26] loss: 0.001
[51,    31] loss: 0.198
[51,    36] loss: 0.006
[51,    41] loss: 0.007
[[288   0]
 [  2   5]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[52,     1] loss: 0.002
[52,     6] loss: 0.018
[52,    11] loss: 0.019
[52,    16] loss: 0.001
[52,    21] loss: 0.001
[52,    26] loss: 0.001
[52,    31] loss: 0.024
[52,    36] loss: 0.000
[52,    41] loss: 0.000
[[288   0]
 [  5   2]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[53,     1] loss: 0.000
[53,     6] loss: 0.000
[53,    11] loss: 0.002
[53,    16] loss: 0.001
[53,    21] loss: 0.001
[53,    26] loss: 0.009
[53,    31] loss: 0.007
[53,    36] loss: 0.001
[53,    41] loss: 0.002
[[288   0]
 [  2   5]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[54,     1] loss: 0.001
[54,     6] loss: 0.015
[54,    11] loss: 0.009
[54,    16] loss: 0.009
[54,    21] loss: 0.001
[54,    26] loss: 0.006
[54,    31] loss: 0.009
[54,    36] loss: 0.002
[54,    41] loss: 0.014
[[288   0]
 [  2   5]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[55,     1] loss: 0.000
[55,     6] loss: 0.000
[55,    11] loss: 0.008
[55,    16] loss: 0.004
[55,    21] loss: 0.007
[55,    26] loss: 0.019
[55,    31] loss: 0.001
[55,    36] loss: 0.000
[55,    41] loss: 0.000
[[288   0]
 [  5   2]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[56,     1] loss: 0.039
[56,     6] loss: 0.001
[56,    11] loss: 0.006
[56,    16] loss: 0.001
[56,    21] loss: 0.039
[56,    26] loss: 0.001
[56,    31] loss: 0.000
[56,    36] loss: 0.002
[56,    41] loss: 0.000
[[288   0]
 [  2   5]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[57,     1] loss: 0.002
[57,     6] loss: 0.001
[57,    11] loss: 0.001
[57,    16] loss: 0.002
[57,    21] loss: 0.000
[57,    26] loss: 0.003
[57,    31] loss: 0.001
[57,    36] loss: 0.002
[57,    41] loss: 0.004
[[288   0]
 [  2   5]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[58,     1] loss: 0.002
[58,     6] loss: 0.003
[58,    11] loss: 0.002
[58,    16] loss: 0.001
[58,    21] loss: 0.001
[58,    26] loss: 0.000
[58,    31] loss: 0.002
[58,    36] loss: 0.000
[58,    41] loss: 0.007
[[288   0]
 [  2   5]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[59,     1] loss: 0.001
[59,     6] loss: 0.000
[59,    11] loss: 0.008
[59,    16] loss: 0.006
[59,    21] loss: 0.001
[59,    26] loss: 0.001
[59,    31] loss: 0.003
[59,    36] loss: 0.004
[59,    41] loss: 0.003
[[288   0]
 [  2   5]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[60,     1] loss: 0.012
[60,     6] loss: 0.001
[60,    11] loss: 0.001
[60,    16] loss: 0.001
[60,    21] loss: 0.003
[60,    26] loss: 0.001
[60,    31] loss: 0.003
[60,    36] loss: 0.001
[60,    41] loss: 0.001
[[288   0]
 [  1   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_empty_above
251
731
CONCEPT SAMPLE COUNT concept_empty_above 731 251
687 295
[1,     1] loss: 0.785
[1,     6] loss: 0.554
[1,    11] loss: 0.684
[1,    16] loss: 0.603
[1,    21] loss: 0.459
[1,    26] loss: 0.397
[1,    31] loss: 0.552
[1,    36] loss: 0.455
[1,    41] loss: 0.290
[[ 39  26]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 91 %
[2,     1] loss: 0.260
[2,     6] loss: 0.216
[2,    11] loss: 0.159
[2,    16] loss: 0.030
[2,    21] loss: 0.154
[2,    26] loss: 0.091
[2,    31] loss: 0.012
[2,    36] loss: 0.011
[2,    41] loss: 0.022
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[3,     1] loss: 0.010
[3,     6] loss: 0.005
[3,    11] loss: 0.005
[3,    16] loss: 0.006
[3,    21] loss: 0.017
[3,    26] loss: 0.006
[3,    31] loss: 0.004
[3,    36] loss: 0.004
[3,    41] loss: 0.006
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.005
[4,     6] loss: 0.008
[4,    11] loss: 0.005
[4,    16] loss: 0.004
[4,    21] loss: 0.007
[4,    26] loss: 0.004
[4,    31] loss: 0.013
[4,    36] loss: 0.004
[4,    41] loss: 0.003
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.002
[5,     6] loss: 0.006
[5,    11] loss: 0.004
[5,    16] loss: 0.002
[5,    21] loss: 0.034
[5,    26] loss: 0.006
[5,    31] loss: 0.003
[5,    36] loss: 0.004
[5,    41] loss: 0.005
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.003
[6,     6] loss: 0.002
[6,    11] loss: 0.003
[6,    16] loss: 0.002
[6,    21] loss: 0.002
[6,    26] loss: 0.002
[6,    31] loss: 0.004
[6,    36] loss: 0.003
[6,    41] loss: 0.002
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.004
[7,     6] loss: 0.002
[7,    11] loss: 0.007
[7,    16] loss: 0.002
[7,    21] loss: 0.003
[7,    26] loss: 0.002
[7,    31] loss: 0.006
[7,    36] loss: 0.002
[7,    41] loss: 0.002
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.002
[8,     6] loss: 0.003
[8,    11] loss: 0.002
[8,    16] loss: 0.044
[8,    21] loss: 0.439
[8,    26] loss: 0.189
[8,    31] loss: 0.198
[8,    36] loss: 0.121
[8,    41] loss: 0.028
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.020
[9,     6] loss: 0.029
[9,    11] loss: 0.024
[9,    16] loss: 0.016
[9,    21] loss: 0.014
[9,    26] loss: 0.006
[9,    31] loss: 0.004
[9,    36] loss: 0.011
[9,    41] loss: 0.006
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.006
[10,     6] loss: 0.010
[10,    11] loss: 0.008
[10,    16] loss: 0.008
[10,    21] loss: 0.004
[10,    26] loss: 0.007
[10,    31] loss: 0.007
[10,    36] loss: 0.005
[10,    41] loss: 0.006
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.010
[11,     6] loss: 0.006
[11,    11] loss: 0.006
[11,    16] loss: 0.010
[11,    21] loss: 0.008
[11,    26] loss: 0.004
[11,    31] loss: 0.004
[11,    36] loss: 0.005
[11,    41] loss: 0.005
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.008
[12,     6] loss: 0.008
[12,    11] loss: 0.007
[12,    16] loss: 0.007
[12,    21] loss: 0.006
[12,    26] loss: 0.004
[12,    31] loss: 0.005
[12,    36] loss: 0.003
[12,    41] loss: 0.004
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.003
[13,     6] loss: 0.002
[13,    11] loss: 0.009
[13,    16] loss: 0.006
[13,    21] loss: 0.006
[13,    26] loss: 0.004
[13,    31] loss: 0.005
[13,    36] loss: 0.005
[13,    41] loss: 0.004
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.008
[14,     6] loss: 0.003
[14,    11] loss: 0.005
[14,    16] loss: 0.004
[14,    21] loss: 0.004
[14,    26] loss: 0.006
[14,    31] loss: 0.006
[14,    36] loss: 0.006
[14,    41] loss: 0.005
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.006
[15,     6] loss: 0.004
[15,    11] loss: 0.004
[15,    16] loss: 0.007
[15,    21] loss: 0.002
[15,    26] loss: 0.007
[15,    31] loss: 0.007
[15,    36] loss: 0.007
[15,    41] loss: 0.004
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.007
[16,     6] loss: 0.004
[16,    11] loss: 0.005
[16,    16] loss: 0.004
[16,    21] loss: 0.004
[16,    26] loss: 0.006
[16,    31] loss: 0.005
[16,    36] loss: 0.004
[16,    41] loss: 0.004
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.006
[17,     6] loss: 0.002
[17,    11] loss: 0.003
[17,    16] loss: 0.005
[17,    21] loss: 0.005
[17,    26] loss: 0.005
[17,    31] loss: 0.004
[17,    36] loss: 0.004
[17,    41] loss: 0.004
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.005
[18,     6] loss: 0.002
[18,    11] loss: 0.004
[18,    16] loss: 0.006
[18,    21] loss: 0.007
[18,    26] loss: 0.007
[18,    31] loss: 0.004
[18,    36] loss: 0.005
[18,    41] loss: 0.003
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.005
[19,     6] loss: 0.003
[19,    11] loss: 0.003
[19,    16] loss: 0.005
[19,    21] loss: 0.003
[19,    26] loss: 0.005
[19,    31] loss: 0.004
[19,    36] loss: 0.004
[19,    41] loss: 0.004
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.003
[20,     6] loss: 0.003
[20,    11] loss: 0.003
[20,    16] loss: 0.006
[20,    21] loss: 0.003
[20,    26] loss: 0.005
[20,    31] loss: 0.004
[20,    36] loss: 0.003
[20,    41] loss: 0.005
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.003
[21,     6] loss: 0.003
[21,    11] loss: 0.005
[21,    16] loss: 0.004
[21,    21] loss: 0.003
[21,    26] loss: 0.003
[21,    31] loss: 0.003
[21,    36] loss: 0.002
[21,    41] loss: 0.005
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.003
[22,     6] loss: 0.004
[22,    11] loss: 0.003
[22,    16] loss: 0.004
[22,    21] loss: 0.002
[22,    26] loss: 0.005
[22,    31] loss: 0.007
[22,    36] loss: 0.004
[22,    41] loss: 0.002
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.003
[23,     6] loss: 0.004
[23,    11] loss: 0.004
[23,    16] loss: 0.003
[23,    21] loss: 0.003
[23,    26] loss: 0.003
[23,    31] loss: 0.005
[23,    36] loss: 0.003
[23,    41] loss: 0.007
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.003
[24,     6] loss: 0.003
[24,    11] loss: 0.004
[24,    16] loss: 0.004
[24,    21] loss: 0.005
[24,    26] loss: 0.005
[24,    31] loss: 0.006
[24,    36] loss: 0.006
[24,    41] loss: 0.003
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.006
[25,     6] loss: 0.004
[25,    11] loss: 0.002
[25,    16] loss: 0.003
[25,    21] loss: 0.003
[25,    26] loss: 0.002
[25,    31] loss: 0.004
[25,    36] loss: 0.004
[25,    41] loss: 0.006
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.003
[26,     6] loss: 0.004
[26,    11] loss: 0.004
[26,    16] loss: 0.004
[26,    21] loss: 0.003
[26,    26] loss: 0.004
[26,    31] loss: 0.003
[26,    36] loss: 0.003
[26,    41] loss: 0.004
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.007
[27,     6] loss: 0.002
[27,    11] loss: 0.004
[27,    16] loss: 0.004
[27,    21] loss: 0.002
[27,    26] loss: 0.005
[27,    31] loss: 0.003
[27,    36] loss: 0.004
[27,    41] loss: 0.002
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.003
[28,     6] loss: 0.005
[28,    11] loss: 0.004
[28,    16] loss: 0.007
[28,    21] loss: 0.002
[28,    26] loss: 0.002
[28,    31] loss: 0.004
[28,    36] loss: 0.003
[28,    41] loss: 0.002
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.005
[29,     6] loss: 0.003
[29,    11] loss: 0.003
[29,    16] loss: 0.005
[29,    21] loss: 0.003
[29,    26] loss: 0.003
[29,    31] loss: 0.003
[29,    36] loss: 0.004
[29,    41] loss: 0.004
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.004
[30,     6] loss: 0.001
[30,    11] loss: 0.004
[30,    16] loss: 0.003
[30,    21] loss: 0.003
[30,    26] loss: 0.002
[30,    31] loss: 0.004
[30,    36] loss: 0.002
[30,    41] loss: 0.002
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.004
[31,     6] loss: 0.002
[31,    11] loss: 0.002
[31,    16] loss: 0.003
[31,    21] loss: 0.003
[31,    26] loss: 0.006
[31,    31] loss: 0.005
[31,    36] loss: 0.002
[31,    41] loss: 0.003
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.002
[32,     6] loss: 0.007
[32,    11] loss: 0.005
[32,    16] loss: 0.002
[32,    21] loss: 0.006
[32,    26] loss: 0.004
[32,    31] loss: 0.005
[32,    36] loss: 0.002
[32,    41] loss: 0.002
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.003
[33,     6] loss: 0.003
[33,    11] loss: 0.002
[33,    16] loss: 0.002
[33,    21] loss: 0.004
[33,    26] loss: 0.002
[33,    31] loss: 0.005
[33,    36] loss: 0.006
[33,    41] loss: 0.003
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.002
[34,     6] loss: 0.005
[34,    11] loss: 0.003
[34,    16] loss: 0.004
[34,    21] loss: 0.003
[34,    26] loss: 0.003
[34,    31] loss: 0.003
[34,    36] loss: 0.003
[34,    41] loss: 0.004
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.005
[35,     6] loss: 0.015
[35,    11] loss: 0.002
[35,    16] loss: 0.006
[35,    21] loss: 0.002
[35,    26] loss: 0.002
[35,    31] loss: 0.002
[35,    36] loss: 0.002
[35,    41] loss: 0.002
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.003
[36,     6] loss: 0.003
[36,    11] loss: 0.003
[36,    16] loss: 0.016
[36,    21] loss: 0.003
[36,    26] loss: 0.002
[36,    31] loss: 0.004
[36,    36] loss: 0.002
[36,    41] loss: 0.001
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.004
[37,     6] loss: 0.003
[37,    11] loss: 0.005
[37,    16] loss: 0.002
[37,    21] loss: 0.002
[37,    26] loss: 0.003
[37,    31] loss: 0.006
[37,    36] loss: 0.002
[37,    41] loss: 0.002
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.002
[38,     6] loss: 0.003
[38,    11] loss: 0.002
[38,    16] loss: 0.007
[38,    21] loss: 0.004
[38,    26] loss: 0.003
[38,    31] loss: 0.002
[38,    36] loss: 0.002
[38,    41] loss: 0.003
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.002
[39,     6] loss: 0.003
[39,    11] loss: 0.003
[39,    16] loss: 0.002
[39,    21] loss: 0.004
[39,    26] loss: 0.002
[39,    31] loss: 0.003
[39,    36] loss: 0.004
[39,    41] loss: 0.005
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.004
[40,     6] loss: 0.003
[40,    11] loss: 0.004
[40,    16] loss: 0.003
[40,    21] loss: 0.002
[40,    26] loss: 0.002
[40,    31] loss: 0.004
[40,    36] loss: 0.002
[40,    41] loss: 0.006
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.004
[41,     6] loss: 0.003
[41,    11] loss: 0.002
[41,    16] loss: 0.003
[41,    21] loss: 0.002
[41,    26] loss: 0.003
[41,    31] loss: 0.013
[41,    36] loss: 0.003
[41,    41] loss: 0.003
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.003
[42,     6] loss: 0.002
[42,    11] loss: 0.002
[42,    16] loss: 0.002
[42,    21] loss: 0.003
[42,    26] loss: 0.004
[42,    31] loss: 0.003
[42,    36] loss: 0.001
[42,    41] loss: 0.002
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.002
[43,     6] loss: 0.005
[43,    11] loss: 0.002
[43,    16] loss: 0.003
[43,    21] loss: 0.002
[43,    26] loss: 0.002
[43,    31] loss: 0.002
[43,    36] loss: 0.002
[43,    41] loss: 0.003
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.003
[44,     6] loss: 0.004
[44,    11] loss: 0.003
[44,    16] loss: 0.003
[44,    21] loss: 0.003
[44,    26] loss: 0.002
[44,    31] loss: 0.002
[44,    36] loss: 0.003
[44,    41] loss: 0.002
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.001
[45,     6] loss: 0.001
[45,    11] loss: 0.003
[45,    16] loss: 0.005
[45,    21] loss: 0.002
[45,    26] loss: 0.005
[45,    31] loss: 0.002
[45,    36] loss: 0.003
[45,    41] loss: 0.003
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.003
[46,     6] loss: 0.004
[46,    11] loss: 0.003
[46,    16] loss: 0.003
[46,    21] loss: 0.003
[46,    26] loss: 0.003
[46,    31] loss: 0.004
[46,    36] loss: 0.003
[46,    41] loss: 0.004
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.003
[47,     6] loss: 0.003
[47,    11] loss: 0.003
[47,    16] loss: 0.003
[47,    21] loss: 0.006
[47,    26] loss: 0.002
[47,    31] loss: 0.003
[47,    36] loss: 0.003
[47,    41] loss: 0.006
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.002
[48,     6] loss: 0.002
[48,    11] loss: 0.004
[48,    16] loss: 0.003
[48,    21] loss: 0.004
[48,    26] loss: 0.003
[48,    31] loss: 0.003
[48,    36] loss: 0.002
[48,    41] loss: 0.001
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.003
[49,     6] loss: 0.003
[49,    11] loss: 0.003
[49,    16] loss: 0.002
[49,    21] loss: 0.002
[49,    26] loss: 0.004
[49,    31] loss: 0.003
[49,    36] loss: 0.002
[49,    41] loss: 0.002
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.002
[50,     6] loss: 0.002
[50,    11] loss: 0.004
[50,    16] loss: 0.003
[50,    21] loss: 0.002
[50,    26] loss: 0.003
[50,    31] loss: 0.002
[50,    36] loss: 0.002
[50,    41] loss: 0.003
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.003
[51,     6] loss: 0.003
[51,    11] loss: 0.002
[51,    16] loss: 0.001
[51,    21] loss: 0.028
[51,    26] loss: 0.003
[51,    31] loss: 0.002
[51,    36] loss: 0.002
[51,    41] loss: 0.002
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.003
[52,     6] loss: 0.002
[52,    11] loss: 0.002
[52,    16] loss: 0.002
[52,    21] loss: 0.002
[52,    26] loss: 0.001
[52,    31] loss: 0.003
[52,    36] loss: 0.002
[52,    41] loss: 0.002
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.002
[53,     6] loss: 0.002
[53,    11] loss: 0.002
[53,    16] loss: 0.002
[53,    21] loss: 0.002
[53,    26] loss: 0.002
[53,    31] loss: 0.003
[53,    36] loss: 0.004
[53,    41] loss: 0.003
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.002
[54,     6] loss: 0.003
[54,    11] loss: 0.002
[54,    16] loss: 0.002
[54,    21] loss: 0.002
[54,    26] loss: 0.001
[54,    31] loss: 0.005
[54,    36] loss: 0.002
[54,    41] loss: 0.001
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.001
[55,     6] loss: 0.002
[55,    11] loss: 0.002
[55,    16] loss: 0.004
[55,    21] loss: 0.001
[55,    26] loss: 0.002
[55,    31] loss: 0.003
[55,    36] loss: 0.002
[55,    41] loss: 0.003
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.002
[56,     6] loss: 0.002
[56,    11] loss: 0.002
[56,    16] loss: 0.013
[56,    21] loss: 0.358
[56,    26] loss: 0.075
[56,    31] loss: 0.025
[56,    36] loss: 0.013
[56,    41] loss: 0.008
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.007
[57,     6] loss: 0.004
[57,    11] loss: 0.007
[57,    16] loss: 0.007
[57,    21] loss: 0.005
[57,    26] loss: 0.005
[57,    31] loss: 0.004
[57,    36] loss: 0.006
[57,    41] loss: 0.007
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.004
[58,     6] loss: 0.003
[58,    11] loss: 0.002
[58,    16] loss: 0.003
[58,    21] loss: 0.005
[58,    26] loss: 0.003
[58,    31] loss: 0.003
[58,    36] loss: 0.004
[58,    41] loss: 0.003
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.002
[59,     6] loss: 0.004
[59,    11] loss: 0.003
[59,    16] loss: 0.003
[59,    21] loss: 0.003
[59,    26] loss: 0.004
[59,    31] loss: 0.004
[59,    36] loss: 0.004
[59,    41] loss: 0.003
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.003
[60,     6] loss: 0.003
[60,    11] loss: 0.002
[60,    16] loss: 0.002
[60,    21] loss: 0.002
[60,    26] loss: 0.002
[60,    31] loss: 0.002
[60,    36] loss: 0.002
[60,    41] loss: 0.002
[[ 65   0]
 [  0 230]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_empty_below
307
675
CONCEPT SAMPLE COUNT concept_empty_below 675 307
687 295
[1,     1] loss: 0.691
[1,     6] loss: 0.662
[1,    11] loss: 0.790
[1,    16] loss: 0.691
[1,    21] loss: 0.582
[1,    26] loss: 0.604
[1,    31] loss: 0.554
[1,    36] loss: 0.577
[1,    41] loss: 0.752
[[  0  92]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 68 %
[2,     1] loss: 0.504
[2,     6] loss: 0.550
[2,    11] loss: 0.654
[2,    16] loss: 0.516
[2,    21] loss: 0.499
[2,    26] loss: 0.577
[2,    31] loss: 0.424
[2,    36] loss: 0.511
[2,    41] loss: 0.290
[[ 72  20]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 93 %
[3,     1] loss: 0.159
[3,     6] loss: 0.438
[3,    11] loss: 0.101
[3,    16] loss: 0.298
[3,    21] loss: 0.113
[3,    26] loss: 0.091
[3,    31] loss: 0.093
[3,    36] loss: 0.014
[3,    41] loss: 0.264
[[ 83   9]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[4,     1] loss: 0.040
[4,     6] loss: 0.036
[4,    11] loss: 0.034
[4,    16] loss: 0.021
[4,    21] loss: 0.061
[4,    26] loss: 0.229
[4,    31] loss: 0.072
[4,    36] loss: 0.024
[4,    41] loss: 0.011
[[ 86   6]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[5,     1] loss: 0.056
[5,     6] loss: 0.049
[5,    11] loss: 0.066
[5,    16] loss: 0.003
[5,    21] loss: 0.093
[5,    26] loss: 0.005
[5,    31] loss: 0.006
[5,    36] loss: 0.005
[5,    41] loss: 0.009
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.008
[6,     6] loss: 0.024
[6,    11] loss: 0.005
[6,    16] loss: 0.005
[6,    21] loss: 0.004
[6,    26] loss: 0.003
[6,    31] loss: 0.005
[6,    36] loss: 0.003
[6,    41] loss: 0.002
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.006
[7,     6] loss: 0.001
[7,    11] loss: 0.005
[7,    16] loss: 0.015
[7,    21] loss: 0.007
[7,    26] loss: 0.008
[7,    31] loss: 0.008
[7,    36] loss: 0.004
[7,    41] loss: 0.001
[[ 91   1]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[8,     1] loss: 0.003
[8,     6] loss: 0.003
[8,    11] loss: 0.002
[8,    16] loss: 0.006
[8,    21] loss: 0.101
[8,    26] loss: 0.011
[8,    31] loss: 0.134
[8,    36] loss: 0.014
[8,    41] loss: 0.258
[[ 83   9]
 [ 10 193]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 93 %
[9,     1] loss: 0.157
[9,     6] loss: 0.011
[9,    11] loss: 0.006
[9,    16] loss: 0.066
[9,    21] loss: 0.004
[9,    26] loss: 0.004
[9,    31] loss: 0.007
[9,    36] loss: 0.003
[9,    41] loss: 0.011
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.002
[10,     6] loss: 0.003
[10,    11] loss: 0.001
[10,    16] loss: 0.010
[10,    21] loss: 0.002
[10,    26] loss: 0.001
[10,    31] loss: 0.001
[10,    36] loss: 0.001
[10,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.001
[11,     6] loss: 0.002
[11,    11] loss: 0.002
[11,    16] loss: 0.002
[11,    21] loss: 0.002
[11,    26] loss: 0.010
[11,    31] loss: 0.005
[11,    36] loss: 0.005
[11,    41] loss: 0.002
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.002
[12,     6] loss: 0.002
[12,    11] loss: 0.010
[12,    16] loss: 0.001
[12,    21] loss: 0.005
[12,    26] loss: 0.001
[12,    31] loss: 0.001
[12,    36] loss: 0.004
[12,    41] loss: 0.002
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.002
[13,     6] loss: 0.002
[13,    11] loss: 0.003
[13,    16] loss: 0.008
[13,    21] loss: 0.003
[13,    26] loss: 0.002
[13,    31] loss: 0.001
[13,    36] loss: 0.003
[13,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.001
[14,     6] loss: 0.004
[14,    11] loss: 0.001
[14,    16] loss: 0.001
[14,    21] loss: 0.001
[14,    26] loss: 0.002
[14,    31] loss: 0.012
[14,    36] loss: 0.005
[14,    41] loss: 0.006
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.003
[15,     6] loss: 0.002
[15,    11] loss: 0.001
[15,    16] loss: 0.009
[15,    21] loss: 0.003
[15,    26] loss: 0.001
[15,    31] loss: 0.007
[15,    36] loss: 0.002
[15,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.003
[16,     6] loss: 0.002
[16,    11] loss: 0.001
[16,    16] loss: 0.005
[16,    21] loss: 0.001
[16,    26] loss: 0.001
[16,    31] loss: 0.022
[16,    36] loss: 0.006
[16,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.001
[17,     6] loss: 0.005
[17,    11] loss: 0.018
[17,    16] loss: 0.003
[17,    21] loss: 0.011
[17,    26] loss: 0.001
[17,    31] loss: 0.002
[17,    36] loss: 0.003
[17,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.001
[18,     6] loss: 0.001
[18,    11] loss: 0.001
[18,    16] loss: 0.001
[18,    21] loss: 0.004
[18,    26] loss: 0.004
[18,    31] loss: 0.002
[18,    36] loss: 0.001
[18,    41] loss: 0.004
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.001
[19,     6] loss: 0.003
[19,    11] loss: 0.002
[19,    16] loss: 0.001
[19,    21] loss: 0.004
[19,    26] loss: 0.001
[19,    31] loss: 0.001
[19,    36] loss: 0.001
[19,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.001
[20,     6] loss: 0.001
[20,    11] loss: 0.002
[20,    16] loss: 0.001
[20,    21] loss: 0.002
[20,    26] loss: 0.001
[20,    31] loss: 0.001
[20,    36] loss: 0.004
[20,    41] loss: 0.002
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.002
[21,     6] loss: 0.001
[21,    11] loss: 0.003
[21,    16] loss: 0.002
[21,    21] loss: 0.002
[21,    26] loss: 0.001
[21,    31] loss: 0.001
[21,    36] loss: 0.002
[21,    41] loss: 0.002
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.002
[22,     6] loss: 0.001
[22,    11] loss: 0.006
[22,    16] loss: 0.003
[22,    21] loss: 0.002
[22,    26] loss: 0.001
[22,    31] loss: 0.003
[22,    36] loss: 0.001
[22,    41] loss: 0.003
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.003
[23,     6] loss: 0.001
[23,    11] loss: 0.001
[23,    16] loss: 0.003
[23,    21] loss: 0.003
[23,    26] loss: 0.001
[23,    31] loss: 0.001
[23,    36] loss: 0.002
[23,    41] loss: 0.007
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.002
[24,     6] loss: 0.001
[24,    11] loss: 0.001
[24,    16] loss: 0.002
[24,    21] loss: 0.003
[24,    26] loss: 0.004
[24,    31] loss: 0.001
[24,    36] loss: 0.001
[24,    41] loss: 0.005
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.001
[25,     6] loss: 0.002
[25,    11] loss: 0.002
[25,    16] loss: 0.001
[25,    21] loss: 0.002
[25,    26] loss: 0.001
[25,    31] loss: 0.001
[25,    36] loss: 0.002
[25,    41] loss: 0.002
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.001
[26,     6] loss: 0.001
[26,    11] loss: 0.001
[26,    16] loss: 0.001
[26,    21] loss: 0.002
[26,    26] loss: 0.008
[26,    31] loss: 0.002
[26,    36] loss: 0.001
[26,    41] loss: 0.006
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.001
[27,     6] loss: 0.003
[27,    11] loss: 0.005
[27,    16] loss: 0.007
[27,    21] loss: 0.001
[27,    26] loss: 0.002
[27,    31] loss: 0.004
[27,    36] loss: 0.003
[27,    41] loss: 0.003
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.003
[28,     6] loss: 0.002
[28,    11] loss: 0.001
[28,    16] loss: 0.006
[28,    21] loss: 0.001
[28,    26] loss: 0.002
[28,    31] loss: 0.001
[28,    36] loss: 0.002
[28,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.002
[29,     6] loss: 0.064
[29,    11] loss: 0.048
[29,    16] loss: 0.003
[29,    21] loss: 0.003
[29,    26] loss: 0.004
[29,    31] loss: 0.002
[29,    36] loss: 0.002
[29,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.000
[30,     6] loss: 0.001
[30,    11] loss: 0.001
[30,    16] loss: 0.003
[30,    21] loss: 0.001
[30,    26] loss: 0.004
[30,    31] loss: 0.002
[30,    36] loss: 0.001
[30,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.000
[31,     6] loss: 0.005
[31,    11] loss: 0.003
[31,    16] loss: 0.002
[31,    21] loss: 0.003
[31,    26] loss: 0.002
[31,    31] loss: 0.002
[31,    36] loss: 0.001
[31,    41] loss: 0.002
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.002
[32,     6] loss: 0.003
[32,    11] loss: 0.002
[32,    16] loss: 0.003
[32,    21] loss: 0.003
[32,    26] loss: 0.001
[32,    31] loss: 0.002
[32,    36] loss: 0.001
[32,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.001
[33,     6] loss: 0.004
[33,    11] loss: 0.009
[33,    16] loss: 0.001
[33,    21] loss: 0.002
[33,    26] loss: 0.005
[33,    31] loss: 0.001
[33,    36] loss: 0.001
[33,    41] loss: 0.002
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.001
[34,     6] loss: 0.003
[34,    11] loss: 0.001
[34,    16] loss: 0.001
[34,    21] loss: 0.002
[34,    26] loss: 0.001
[34,    31] loss: 0.002
[34,    36] loss: 0.006
[34,    41] loss: 0.004
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.003
[35,     6] loss: 0.003
[35,    11] loss: 0.001
[35,    16] loss: 0.001
[35,    21] loss: 0.003
[35,    26] loss: 0.003
[35,    31] loss: 0.003
[35,    36] loss: 0.002
[35,    41] loss: 0.004
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.001
[36,     6] loss: 0.001
[36,    11] loss: 0.001
[36,    16] loss: 0.001
[36,    21] loss: 0.002
[36,    26] loss: 0.003
[36,    31] loss: 0.021
[36,    36] loss: 0.280
[36,    41] loss: 0.088
[[ 83   9]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[37,     1] loss: 0.331
[37,     6] loss: 0.111
[37,    11] loss: 0.115
[37,    16] loss: 0.029
[37,    21] loss: 0.006
[37,    26] loss: 0.901
[37,    31] loss: 0.047
[37,    36] loss: 0.046
[37,    41] loss: 0.010
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.005
[38,     6] loss: 0.009
[38,    11] loss: 0.004
[38,    16] loss: 0.002
[38,    21] loss: 0.005
[38,    26] loss: 0.003
[38,    31] loss: 0.004
[38,    36] loss: 0.002
[38,    41] loss: 0.003
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.001
[39,     6] loss: 0.001
[39,    11] loss: 0.001
[39,    16] loss: 0.004
[39,    21] loss: 0.002
[39,    26] loss: 0.004
[39,    31] loss: 0.002
[39,    36] loss: 0.002
[39,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.002
[40,     6] loss: 0.002
[40,    11] loss: 0.003
[40,    16] loss: 0.001
[40,    21] loss: 0.003
[40,    26] loss: 0.001
[40,    31] loss: 0.002
[40,    36] loss: 0.005
[40,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.001
[41,     6] loss: 0.002
[41,    11] loss: 0.002
[41,    16] loss: 0.001
[41,    21] loss: 0.002
[41,    26] loss: 0.001
[41,    31] loss: 0.002
[41,    36] loss: 0.001
[41,    41] loss: 0.002
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.002
[42,     6] loss: 0.001
[42,    11] loss: 0.004
[42,    16] loss: 0.001
[42,    21] loss: 0.002
[42,    26] loss: 0.002
[42,    31] loss: 0.002
[42,    36] loss: 0.002
[42,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.002
[43,     6] loss: 0.002
[43,    11] loss: 0.001
[43,    16] loss: 0.002
[43,    21] loss: 0.004
[43,    26] loss: 0.002
[43,    31] loss: 0.001
[43,    36] loss: 0.001
[43,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.001
[44,     6] loss: 0.001
[44,    11] loss: 0.001
[44,    16] loss: 0.001
[44,    21] loss: 0.002
[44,    26] loss: 0.001
[44,    31] loss: 0.003
[44,    36] loss: 0.310
[44,    41] loss: 0.068
[[ 83   9]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[45,     1] loss: 0.045
[45,     6] loss: 0.072
[45,    11] loss: 0.005
[45,    16] loss: 0.020
[45,    21] loss: 0.006
[45,    26] loss: 0.012
[45,    31] loss: 0.004
[45,    36] loss: 0.004
[45,    41] loss: 0.005
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.006
[46,     6] loss: 0.006
[46,    11] loss: 0.008
[46,    16] loss: 0.002
[46,    21] loss: 0.003
[46,    26] loss: 0.001
[46,    31] loss: 0.001
[46,    36] loss: 0.001
[46,    41] loss: 0.006
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.001
[47,     6] loss: 0.007
[47,    11] loss: 0.001
[47,    16] loss: 0.001
[47,    21] loss: 0.001
[47,    26] loss: 0.001
[47,    31] loss: 0.002
[47,    36] loss: 0.001
[47,    41] loss: 0.003
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.001
[48,     6] loss: 0.003
[48,    11] loss: 0.001
[48,    16] loss: 0.002
[48,    21] loss: 0.001
[48,    26] loss: 0.001
[48,    31] loss: 0.002
[48,    36] loss: 0.005
[48,    41] loss: 0.002
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.002
[49,     6] loss: 0.001
[49,    11] loss: 0.001
[49,    16] loss: 0.001
[49,    21] loss: 0.001
[49,    26] loss: 0.001
[49,    31] loss: 0.002
[49,    36] loss: 0.003
[49,    41] loss: 0.000
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.002
[50,     6] loss: 0.004
[50,    11] loss: 0.001
[50,    16] loss: 0.001
[50,    21] loss: 0.001
[50,    26] loss: 0.001
[50,    31] loss: 0.002
[50,    36] loss: 0.001
[50,    41] loss: 0.002
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.002
[51,     6] loss: 0.001
[51,    11] loss: 0.004
[51,    16] loss: 0.002
[51,    21] loss: 0.001
[51,    26] loss: 0.004
[51,    31] loss: 0.002
[51,    36] loss: 0.001
[51,    41] loss: 0.004
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.001
[52,     6] loss: 0.003
[52,    11] loss: 0.001
[52,    16] loss: 0.001
[52,    21] loss: 0.005
[52,    26] loss: 0.003
[52,    31] loss: 0.001
[52,    36] loss: 0.001
[52,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.001
[53,     6] loss: 0.011
[53,    11] loss: 0.001
[53,    16] loss: 0.001
[53,    21] loss: 0.001
[53,    26] loss: 0.005
[53,    31] loss: 0.001
[53,    36] loss: 0.003
[53,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.004
[54,     6] loss: 0.001
[54,    11] loss: 0.003
[54,    16] loss: 0.001
[54,    21] loss: 0.001
[54,    26] loss: 0.004
[54,    31] loss: 0.002
[54,    36] loss: 0.001
[54,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.002
[55,     6] loss: 0.002
[55,    11] loss: 0.001
[55,    16] loss: 0.002
[55,    21] loss: 0.001
[55,    26] loss: 0.001
[55,    31] loss: 0.002
[55,    36] loss: 0.002
[55,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.002
[56,     6] loss: 0.001
[56,    11] loss: 0.003
[56,    16] loss: 0.002
[56,    21] loss: 0.002
[56,    26] loss: 0.001
[56,    31] loss: 0.003
[56,    36] loss: 0.001
[56,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.001
[57,     6] loss: 0.001
[57,    11] loss: 0.003
[57,    16] loss: 0.002
[57,    21] loss: 0.001
[57,    26] loss: 0.001
[57,    31] loss: 0.001
[57,    36] loss: 0.001
[57,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.002
[58,     6] loss: 0.001
[58,    11] loss: 0.001
[58,    16] loss: 0.004
[58,    21] loss: 0.006
[58,    26] loss: 0.229
[58,    31] loss: 0.204
[58,    36] loss: 0.153
[58,    41] loss: 0.147
[[ 83   9]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[59,     1] loss: 0.015
[59,     6] loss: 0.020
[59,    11] loss: 0.083
[59,    16] loss: 0.090
[59,    21] loss: 0.005
[59,    26] loss: 0.005
[59,    31] loss: 0.030
[59,    36] loss: 0.006
[59,    41] loss: 0.005
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.007
[60,     6] loss: 0.002
[60,    11] loss: 0.001
[60,    16] loss: 0.007
[60,    21] loss: 0.011
[60,    26] loss: 0.002
[60,    31] loss: 0.001
[60,    36] loss: 0.002
[60,    41] loss: 0.001
[[ 92   0]
 [  0 203]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_empty_left
337
645
CONCEPT SAMPLE COUNT concept_empty_left 645 337
687 295
[1,     1] loss: 0.711
[1,     6] loss: 0.674
[1,    11] loss: 0.683
[1,    16] loss: 0.665
[1,    21] loss: 0.657
[1,    26] loss: 0.635
[1,    31] loss: 0.596
[1,    36] loss: 0.694
[1,    41] loss: 0.544
[[  0  99]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 66 %
[2,     1] loss: 0.601
[2,     6] loss: 0.466
[2,    11] loss: 0.684
[2,    16] loss: 0.777
[2,    21] loss: 0.142
[2,    26] loss: 0.529
[2,    31] loss: 0.279
[2,    36] loss: 0.352
[2,    41] loss: 0.958
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[3,     1] loss: 0.170
[3,     6] loss: 0.009
[3,    11] loss: 0.018
[3,    16] loss: 0.013
[3,    21] loss: 0.224
[3,    26] loss: 0.196
[3,    31] loss: 0.036
[3,    36] loss: 0.006
[3,    41] loss: 0.036
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[4,     1] loss: 0.437
[4,     6] loss: 0.010
[4,    11] loss: 0.029
[4,    16] loss: 0.415
[4,    21] loss: 0.064
[4,    26] loss: 0.034
[4,    31] loss: 0.016
[4,    36] loss: 0.006
[4,    41] loss: 0.126
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[5,     1] loss: 0.042
[5,     6] loss: 0.220
[5,    11] loss: 0.249
[5,    16] loss: 0.029
[5,    21] loss: 0.052
[5,    26] loss: 0.043
[5,    31] loss: 0.051
[5,    36] loss: 0.011
[5,    41] loss: 0.224
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[6,     1] loss: 0.214
[6,     6] loss: 0.239
[6,    11] loss: 0.020
[6,    16] loss: 0.052
[6,    21] loss: 0.027
[6,    26] loss: 0.037
[6,    31] loss: 0.016
[6,    36] loss: 0.029
[6,    41] loss: 0.151
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[7,     1] loss: 0.022
[7,     6] loss: 0.025
[7,    11] loss: 0.064
[7,    16] loss: 0.036
[7,    21] loss: 0.008
[7,    26] loss: 0.229
[7,    31] loss: 0.024
[7,    36] loss: 0.014
[7,    41] loss: 0.037
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[8,     1] loss: 0.167
[8,     6] loss: 0.008
[8,    11] loss: 0.180
[8,    16] loss: 0.021
[8,    21] loss: 0.025
[8,    26] loss: 0.009
[8,    31] loss: 0.042
[8,    36] loss: 0.013
[8,    41] loss: 0.059
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[9,     1] loss: 0.033
[9,     6] loss: 0.012
[9,    11] loss: 0.009
[9,    16] loss: 0.063
[9,    21] loss: 0.017
[9,    26] loss: 0.033
[9,    31] loss: 0.026
[9,    36] loss: 0.027
[9,    41] loss: 0.161
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[10,     1] loss: 0.052
[10,     6] loss: 0.056
[10,    11] loss: 0.030
[10,    16] loss: 0.011
[10,    21] loss: 0.262
[10,    26] loss: 0.200
[10,    31] loss: 0.063
[10,    36] loss: 0.029
[10,    41] loss: 0.020
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[11,     1] loss: 0.198
[11,     6] loss: 0.010
[11,    11] loss: 0.026
[11,    16] loss: 0.019
[11,    21] loss: 0.201
[11,    26] loss: 0.005
[11,    31] loss: 0.508
[11,    36] loss: 0.041
[11,    41] loss: 0.010
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[12,     1] loss: 0.243
[12,     6] loss: 0.029
[12,    11] loss: 0.056
[12,    16] loss: 0.011
[12,    21] loss: 0.253
[12,    26] loss: 0.009
[12,    31] loss: 0.032
[12,    36] loss: 0.008
[12,    41] loss: 0.240
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[13,     1] loss: 0.083
[13,     6] loss: 0.408
[13,    11] loss: 0.063
[13,    16] loss: 0.014
[13,    21] loss: 0.006
[13,    26] loss: 0.027
[13,    31] loss: 0.040
[13,    36] loss: 0.167
[13,    41] loss: 0.025
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[14,     1] loss: 0.009
[14,     6] loss: 0.009
[14,    11] loss: 0.205
[14,    16] loss: 0.018
[14,    21] loss: 0.189
[14,    26] loss: 0.052
[14,    31] loss: 0.020
[14,    36] loss: 0.029
[14,    41] loss: 0.017
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[15,     1] loss: 0.385
[15,     6] loss: 0.028
[15,    11] loss: 0.006
[15,    16] loss: 0.015
[15,    21] loss: 0.033
[15,    26] loss: 0.017
[15,    31] loss: 0.232
[15,    36] loss: 0.040
[15,    41] loss: 0.283
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[16,     1] loss: 0.027
[16,     6] loss: 0.191
[16,    11] loss: 0.025
[16,    16] loss: 0.013
[16,    21] loss: 0.011
[16,    26] loss: 0.030
[16,    31] loss: 0.253
[16,    36] loss: 0.038
[16,    41] loss: 0.185
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[17,     1] loss: 0.039
[17,     6] loss: 0.033
[17,    11] loss: 0.017
[17,    16] loss: 0.034
[17,    21] loss: 0.257
[17,    26] loss: 0.013
[17,    31] loss: 0.021
[17,    36] loss: 0.006
[17,    41] loss: 0.019
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[18,     1] loss: 0.028
[18,     6] loss: 0.270
[18,    11] loss: 0.134
[18,    16] loss: 0.007
[18,    21] loss: 0.210
[18,    26] loss: 0.024
[18,    31] loss: 0.022
[18,    36] loss: 0.028
[18,    41] loss: 0.019
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[19,     1] loss: 0.019
[19,     6] loss: 0.019
[19,    11] loss: 0.051
[19,    16] loss: 0.054
[19,    21] loss: 0.017
[19,    26] loss: 0.022
[19,    31] loss: 0.007
[19,    36] loss: 0.193
[19,    41] loss: 0.013
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[20,     1] loss: 0.032
[20,     6] loss: 0.020
[20,    11] loss: 0.023
[20,    16] loss: 0.194
[20,    21] loss: 0.059
[20,    26] loss: 0.122
[20,    31] loss: 0.203
[20,    36] loss: 0.258
[20,    41] loss: 0.040
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[21,     1] loss: 0.018
[21,     6] loss: 0.016
[21,    11] loss: 0.011
[21,    16] loss: 0.013
[21,    21] loss: 0.232
[21,    26] loss: 0.405
[21,    31] loss: 0.343
[21,    36] loss: 0.246
[21,    41] loss: 0.022
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[22,     1] loss: 0.034
[22,     6] loss: 0.010
[22,    11] loss: 0.181
[22,    16] loss: 0.013
[22,    21] loss: 0.133
[22,    26] loss: 0.182
[22,    31] loss: 0.239
[22,    36] loss: 0.019
[22,    41] loss: 0.449
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[23,     1] loss: 0.064
[23,     6] loss: 0.021
[23,    11] loss: 0.179
[23,    16] loss: 0.050
[23,    21] loss: 0.011
[23,    26] loss: 0.009
[23,    31] loss: 0.046
[23,    36] loss: 0.026
[23,    41] loss: 0.025
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[24,     1] loss: 0.027
[24,     6] loss: 0.031
[24,    11] loss: 0.064
[24,    16] loss: 0.014
[24,    21] loss: 0.191
[24,    26] loss: 0.020
[24,    31] loss: 0.018
[24,    36] loss: 0.021
[24,    41] loss: 0.294
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[25,     1] loss: 0.020
[25,     6] loss: 0.017
[25,    11] loss: 0.021
[25,    16] loss: 0.016
[25,    21] loss: 0.052
[25,    26] loss: 0.005
[25,    31] loss: 0.121
[25,    36] loss: 0.182
[25,    41] loss: 0.193
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[26,     1] loss: 0.024
[26,     6] loss: 0.017
[26,    11] loss: 0.012
[26,    16] loss: 0.007
[26,    21] loss: 0.011
[26,    26] loss: 0.011
[26,    31] loss: 0.488
[26,    36] loss: 0.386
[26,    41] loss: 0.215
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[27,     1] loss: 0.018
[27,     6] loss: 0.177
[27,    11] loss: 0.019
[27,    16] loss: 0.258
[27,    21] loss: 0.018
[27,    26] loss: 0.183
[27,    31] loss: 0.027
[27,    36] loss: 0.045
[27,    41] loss: 0.183
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[28,     1] loss: 0.012
[28,     6] loss: 0.008
[28,    11] loss: 0.034
[28,    16] loss: 0.017
[28,    21] loss: 0.059
[28,    26] loss: 0.034
[28,    31] loss: 0.025
[28,    36] loss: 0.026
[28,    41] loss: 0.052
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[29,     1] loss: 0.020
[29,     6] loss: 0.009
[29,    11] loss: 0.007
[29,    16] loss: 0.019
[29,    21] loss: 0.184
[29,    26] loss: 0.138
[29,    31] loss: 0.034
[29,    36] loss: 0.039
[29,    41] loss: 0.017
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[30,     1] loss: 0.005
[30,     6] loss: 0.016
[30,    11] loss: 0.017
[30,    16] loss: 0.016
[30,    21] loss: 0.151
[30,    26] loss: 0.022
[30,    31] loss: 0.282
[30,    36] loss: 0.023
[30,    41] loss: 0.005
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[31,     1] loss: 0.019
[31,     6] loss: 0.011
[31,    11] loss: 0.026
[31,    16] loss: 0.016
[31,    21] loss: 0.009
[31,    26] loss: 0.146
[31,    31] loss: 0.133
[31,    36] loss: 0.007
[31,    41] loss: 0.018
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[32,     1] loss: 0.004
[32,     6] loss: 0.018
[32,    11] loss: 0.011
[32,    16] loss: 0.020
[32,    21] loss: 0.041
[32,    26] loss: 0.017
[32,    31] loss: 0.013
[32,    36] loss: 0.068
[32,    41] loss: 0.037
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[33,     1] loss: 0.191
[33,     6] loss: 0.022
[33,    11] loss: 0.039
[33,    16] loss: 0.010
[33,    21] loss: 0.018
[33,    26] loss: 0.039
[33,    31] loss: 0.125
[33,    36] loss: 0.024
[33,    41] loss: 0.011
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[34,     1] loss: 0.014
[34,     6] loss: 0.220
[34,    11] loss: 0.119
[34,    16] loss: 0.009
[34,    21] loss: 0.009
[34,    26] loss: 0.005
[34,    31] loss: 0.013
[34,    36] loss: 0.021
[34,    41] loss: 0.170
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[35,     1] loss: 0.007
[35,     6] loss: 0.011
[35,    11] loss: 0.262
[35,    16] loss: 0.011
[35,    21] loss: 0.020
[35,    26] loss: 0.124
[35,    31] loss: 0.207
[35,    36] loss: 0.008
[35,    41] loss: 0.006
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[36,     1] loss: 0.018
[36,     6] loss: 0.041
[36,    11] loss: 0.008
[36,    16] loss: 0.014
[36,    21] loss: 0.118
[36,    26] loss: 0.145
[36,    31] loss: 0.286
[36,    36] loss: 0.035
[36,    41] loss: 0.021
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[37,     1] loss: 0.008
[37,     6] loss: 0.017
[37,    11] loss: 0.212
[37,    16] loss: 0.100
[37,    21] loss: 0.215
[37,    26] loss: 0.022
[37,    31] loss: 0.018
[37,    36] loss: 0.263
[37,    41] loss: 0.025
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[38,     1] loss: 0.053
[38,     6] loss: 0.042
[38,    11] loss: 0.140
[38,    16] loss: 0.027
[38,    21] loss: 0.023
[38,    26] loss: 0.008
[38,    31] loss: 0.156
[38,    36] loss: 0.014
[38,    41] loss: 0.033
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[39,     1] loss: 0.016
[39,     6] loss: 0.238
[39,    11] loss: 0.015
[39,    16] loss: 0.020
[39,    21] loss: 0.007
[39,    26] loss: 0.016
[39,    31] loss: 0.037
[39,    36] loss: 0.243
[39,    41] loss: 0.206
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[40,     1] loss: 0.059
[40,     6] loss: 0.027
[40,    11] loss: 0.035
[40,    16] loss: 0.009
[40,    21] loss: 0.163
[40,    26] loss: 0.017
[40,    31] loss: 0.015
[40,    36] loss: 0.016
[40,    41] loss: 0.010
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[41,     1] loss: 0.030
[41,     6] loss: 0.191
[41,    11] loss: 0.368
[41,    16] loss: 0.139
[41,    21] loss: 0.023
[41,    26] loss: 0.017
[41,    31] loss: 0.012
[41,    36] loss: 0.027
[41,    41] loss: 0.005
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[42,     1] loss: 0.012
[42,     6] loss: 0.163
[42,    11] loss: 0.243
[42,    16] loss: 0.018
[42,    21] loss: 0.015
[42,    26] loss: 0.021
[42,    31] loss: 0.721
[42,    36] loss: 0.038
[42,    41] loss: 0.020
[[ 91   8]
 [  9 187]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 94 %
[43,     1] loss: 0.150
[43,     6] loss: 0.035
[43,    11] loss: 0.015
[43,    16] loss: 0.023
[43,    21] loss: 0.161
[43,    26] loss: 0.025
[43,    31] loss: 0.015
[43,    36] loss: 0.171
[43,    41] loss: 0.021
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[44,     1] loss: 0.019
[44,     6] loss: 0.205
[44,    11] loss: 0.032
[44,    16] loss: 0.009
[44,    21] loss: 0.021
[44,    26] loss: 0.010
[44,    31] loss: 0.027
[44,    36] loss: 0.009
[44,    41] loss: 0.023
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[45,     1] loss: 0.014
[45,     6] loss: 0.016
[45,    11] loss: 0.195
[45,    16] loss: 0.027
[45,    21] loss: 0.277
[45,    26] loss: 0.018
[45,    31] loss: 0.028
[45,    36] loss: 0.017
[45,    41] loss: 0.009
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[46,     1] loss: 0.010
[46,     6] loss: 0.133
[46,    11] loss: 0.025
[46,    16] loss: 0.204
[46,    21] loss: 0.013
[46,    26] loss: 0.013
[46,    31] loss: 0.021
[46,    36] loss: 0.025
[46,    41] loss: 0.013
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[47,     1] loss: 0.142
[47,     6] loss: 0.125
[47,    11] loss: 0.009
[47,    16] loss: 0.315
[47,    21] loss: 0.017
[47,    26] loss: 0.007
[47,    31] loss: 0.018
[47,    36] loss: 0.019
[47,    41] loss: 0.057
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[48,     1] loss: 0.018
[48,     6] loss: 0.024
[48,    11] loss: 0.013
[48,    16] loss: 0.023
[48,    21] loss: 0.013
[48,    26] loss: 0.148
[48,    31] loss: 0.215
[48,    36] loss: 0.027
[48,    41] loss: 0.024
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[49,     1] loss: 0.007
[49,     6] loss: 0.163
[49,    11] loss: 0.010
[49,    16] loss: 0.002
[49,    21] loss: 0.132
[49,    26] loss: 0.021
[49,    31] loss: 0.019
[49,    36] loss: 0.120
[49,    41] loss: 0.017
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[50,     1] loss: 0.028
[50,     6] loss: 0.012
[50,    11] loss: 0.434
[50,    16] loss: 0.019
[50,    21] loss: 0.021
[50,    26] loss: 0.029
[50,    31] loss: 0.174
[50,    36] loss: 0.012
[50,    41] loss: 0.016
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[51,     1] loss: 0.021
[51,     6] loss: 0.011
[51,    11] loss: 0.016
[51,    16] loss: 0.355
[51,    21] loss: 0.021
[51,    26] loss: 0.006
[51,    31] loss: 0.237
[51,    36] loss: 0.015
[51,    41] loss: 0.022
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[52,     1] loss: 0.018
[52,     6] loss: 0.013
[52,    11] loss: 0.010
[52,    16] loss: 0.008
[52,    21] loss: 0.010
[52,    26] loss: 0.004
[52,    31] loss: 0.004
[52,    36] loss: 0.184
[52,    41] loss: 0.125
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[53,     1] loss: 0.023
[53,     6] loss: 0.007
[53,    11] loss: 0.012
[53,    16] loss: 0.013
[53,    21] loss: 0.009
[53,    26] loss: 0.031
[53,    31] loss: 0.010
[53,    36] loss: 0.270
[53,    41] loss: 0.034
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[54,     1] loss: 0.034
[54,     6] loss: 0.041
[54,    11] loss: 0.027
[54,    16] loss: 0.035
[54,    21] loss: 0.008
[54,    26] loss: 0.223
[54,    31] loss: 0.028
[54,    36] loss: 0.019
[54,    41] loss: 0.022
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[55,     1] loss: 0.022
[55,     6] loss: 0.037
[55,    11] loss: 0.030
[55,    16] loss: 0.013
[55,    21] loss: 0.134
[55,    26] loss: 0.023
[55,    31] loss: 0.026
[55,    36] loss: 0.009
[55,    41] loss: 0.023
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[56,     1] loss: 0.144
[56,     6] loss: 0.010
[56,    11] loss: 0.013
[56,    16] loss: 0.007
[56,    21] loss: 0.005
[56,    26] loss: 0.008
[56,    31] loss: 0.021
[56,    36] loss: 0.116
[56,    41] loss: 0.014
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[57,     1] loss: 0.111
[57,     6] loss: 0.136
[57,    11] loss: 0.032
[57,    16] loss: 0.010
[57,    21] loss: 0.006
[57,    26] loss: 0.006
[57,    31] loss: 0.023
[57,    36] loss: 0.023
[57,    41] loss: 0.008
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[58,     1] loss: 0.005
[58,     6] loss: 0.008
[58,    11] loss: 0.195
[58,    16] loss: 0.090
[58,    21] loss: 0.128
[58,    26] loss: 0.006
[58,    31] loss: 0.010
[58,    36] loss: 0.008
[58,    41] loss: 0.154
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[59,     1] loss: 0.089
[59,     6] loss: 0.089
[59,    11] loss: 0.029
[59,    16] loss: 0.008
[59,    21] loss: 0.009
[59,    26] loss: 0.016
[59,    31] loss: 0.011
[59,    36] loss: 0.042
[59,    41] loss: 0.005
[[ 91   8]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[60,     1] loss: 0.007
[60,     6] loss: 0.007
[60,    11] loss: 0.016
[60,    16] loss: 0.096
[60,    21] loss: 0.006
[60,    26] loss: 0.028
[60,    31] loss: 0.008
[60,    36] loss: 0.005
[60,    41] loss: 0.011
[[ 92   7]
 [  0 196]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_empty_right
350
632
CONCEPT SAMPLE COUNT concept_empty_right 632 350
687 295
[1,     1] loss: 0.905
[1,     6] loss: 2.199
[1,    11] loss: 0.578
[1,    16] loss: 0.694
[1,    21] loss: 0.669
[1,    26] loss: 0.694
[1,    31] loss: 0.604
[1,    36] loss: 0.677
[1,    41] loss: 0.613
[[  0 116]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 60 %
[2,     1] loss: 0.615
[2,     6] loss: 0.566
[2,    11] loss: 0.580
[2,    16] loss: 0.576
[2,    21] loss: 0.229
[2,    26] loss: 0.503
[2,    31] loss: 0.047
[2,    36] loss: 0.129
[2,    41] loss: 0.304
[[107   9]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[3,     1] loss: 0.020
[3,     6] loss: 0.294
[3,    11] loss: 0.011
[3,    16] loss: 0.089
[3,    21] loss: 0.667
[3,    26] loss: 0.030
[3,    31] loss: 0.706
[3,    36] loss: 0.198
[3,    41] loss: 0.276
[[107   9]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[4,     1] loss: 0.026
[4,     6] loss: 0.010
[4,    11] loss: 0.405
[4,    16] loss: 0.027
[4,    21] loss: 0.024
[4,    26] loss: 0.234
[4,    31] loss: 0.016
[4,    36] loss: 0.033
[4,    41] loss: 0.262
[[107   9]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[5,     1] loss: 0.015
[5,     6] loss: 0.372
[5,    11] loss: 0.149
[5,    16] loss: 0.170
[5,    21] loss: 0.005
[5,    26] loss: 0.017
[5,    31] loss: 0.042
[5,    36] loss: 0.043
[5,    41] loss: 0.007
[[107   9]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[6,     1] loss: 0.021
[6,     6] loss: 0.030
[6,    11] loss: 0.010
[6,    16] loss: 0.029
[6,    21] loss: 0.014
[6,    26] loss: 0.029
[6,    31] loss: 0.029
[6,    36] loss: 0.168
[6,    41] loss: 0.024
[[107   9]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[7,     1] loss: 0.012
[7,     6] loss: 0.019
[7,    11] loss: 0.153
[7,    16] loss: 0.112
[7,    21] loss: 0.010
[7,    26] loss: 0.087
[7,    31] loss: 0.004
[7,    36] loss: 0.018
[7,    41] loss: 0.037
[[107   9]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[8,     1] loss: 0.016
[8,     6] loss: 0.024
[8,    11] loss: 0.019
[8,    16] loss: 0.223
[8,    21] loss: 0.007
[8,    26] loss: 0.089
[8,    31] loss: 2.041
[8,    36] loss: 0.080
[8,    41] loss: 0.006
[[107   9]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[9,     1] loss: 0.130
[9,     6] loss: 0.173
[9,    11] loss: 0.095
[9,    16] loss: 0.009
[9,    21] loss: 0.114
[9,    26] loss: 0.027
[9,    31] loss: 0.006
[9,    36] loss: 0.040
[9,    41] loss: 0.022
[[107   9]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[10,     1] loss: 0.010
[10,     6] loss: 0.114
[10,    11] loss: 0.011
[10,    16] loss: 0.006
[10,    21] loss: 0.146
[10,    26] loss: 0.011
[10,    31] loss: 0.015
[10,    36] loss: 0.013
[10,    41] loss: 0.005
[[109   7]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[11,     1] loss: 0.013
[11,     6] loss: 0.096
[11,    11] loss: 0.063
[11,    16] loss: 0.089
[11,    21] loss: 0.005
[11,    26] loss: 0.005
[11,    31] loss: 0.008
[11,    36] loss: 0.008
[11,    41] loss: 0.006
[[110   6]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[12,     1] loss: 0.098
[12,     6] loss: 0.012
[12,    11] loss: 0.011
[12,    16] loss: 0.045
[12,    21] loss: 0.010
[12,    26] loss: 0.003
[12,    31] loss: 0.009
[12,    36] loss: 0.002
[12,    41] loss: 0.002
[[111   5]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[13,     1] loss: 0.002
[13,     6] loss: 0.007
[13,    11] loss: 0.021
[13,    16] loss: 0.003
[13,    21] loss: 0.002
[13,    26] loss: 0.002
[13,    31] loss: 0.002
[13,    36] loss: 0.007
[13,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.001
[14,     6] loss: 0.004
[14,    11] loss: 0.006
[14,    16] loss: 0.002
[14,    21] loss: 0.002
[14,    26] loss: 0.005
[14,    31] loss: 0.001
[14,    36] loss: 0.001
[14,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.001
[15,     6] loss: 0.001
[15,    11] loss: 0.002
[15,    16] loss: 0.002
[15,    21] loss: 0.001
[15,    26] loss: 0.004
[15,    31] loss: 0.001
[15,    36] loss: 0.002
[15,    41] loss: 0.003
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.002
[16,     6] loss: 0.003
[16,    11] loss: 0.002
[16,    16] loss: 0.003
[16,    21] loss: 0.002
[16,    26] loss: 0.002
[16,    31] loss: 0.002
[16,    36] loss: 0.002
[16,    41] loss: 0.005
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.003
[17,     6] loss: 0.002
[17,    11] loss: 0.006
[17,    16] loss: 0.002
[17,    21] loss: 0.005
[17,    26] loss: 0.001
[17,    31] loss: 0.004
[17,    36] loss: 0.001
[17,    41] loss: 0.001
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.002
[18,     6] loss: 0.001
[18,    11] loss: 0.002
[18,    16] loss: 0.002
[18,    21] loss: 0.005
[18,    26] loss: 0.003
[18,    31] loss: 0.003
[18,    36] loss: 0.001
[18,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.004
[19,     6] loss: 0.002
[19,    11] loss: 0.004
[19,    16] loss: 0.002
[19,    21] loss: 0.003
[19,    26] loss: 0.002
[19,    31] loss: 0.002
[19,    36] loss: 0.002
[19,    41] loss: 0.001
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.001
[20,     6] loss: 0.003
[20,    11] loss: 0.002
[20,    16] loss: 0.001
[20,    21] loss: 0.002
[20,    26] loss: 0.001
[20,    31] loss: 0.003
[20,    36] loss: 0.001
[20,    41] loss: 0.003
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.002
[21,     6] loss: 0.002
[21,    11] loss: 0.001
[21,    16] loss: 0.002
[21,    21] loss: 0.004
[21,    26] loss: 0.003
[21,    31] loss: 0.005
[21,    36] loss: 0.003
[21,    41] loss: 0.001
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.001
[22,     6] loss: 0.002
[22,    11] loss: 0.005
[22,    16] loss: 0.002
[22,    21] loss: 0.004
[22,    26] loss: 0.002
[22,    31] loss: 0.002
[22,    36] loss: 0.003
[22,    41] loss: 0.005
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.002
[23,     6] loss: 0.001
[23,    11] loss: 0.003
[23,    16] loss: 0.003
[23,    21] loss: 0.001
[23,    26] loss: 0.001
[23,    31] loss: 0.001
[23,    36] loss: 0.197
[23,    41] loss: 0.251
[[111   5]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[24,     1] loss: 0.159
[24,     6] loss: 0.020
[24,    11] loss: 0.173
[24,    16] loss: 0.036
[24,    21] loss: 0.011
[24,    26] loss: 0.003
[24,    31] loss: 0.003
[24,    36] loss: 0.002
[24,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.011
[25,     6] loss: 0.006
[25,    11] loss: 0.002
[25,    16] loss: 0.003
[25,    21] loss: 0.007
[25,    26] loss: 0.002
[25,    31] loss: 0.002
[25,    36] loss: 0.001
[25,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.004
[26,     6] loss: 0.002
[26,    11] loss: 0.001
[26,    16] loss: 0.006
[26,    21] loss: 0.001
[26,    26] loss: 0.003
[26,    31] loss: 0.004
[26,    36] loss: 0.001
[26,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.001
[27,     6] loss: 0.002
[27,    11] loss: 0.001
[27,    16] loss: 0.006
[27,    21] loss: 0.002
[27,    26] loss: 0.002
[27,    31] loss: 0.001
[27,    36] loss: 0.002
[27,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.002
[28,     6] loss: 0.003
[28,    11] loss: 0.001
[28,    16] loss: 0.001
[28,    21] loss: 0.001
[28,    26] loss: 0.002
[28,    31] loss: 0.001
[28,    36] loss: 0.003
[28,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.002
[29,     6] loss: 0.002
[29,    11] loss: 0.001
[29,    16] loss: 0.003
[29,    21] loss: 0.001
[29,    26] loss: 0.001
[29,    31] loss: 0.004
[29,    36] loss: 0.001
[29,    41] loss: 0.001
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.002
[30,     6] loss: 0.002
[30,    11] loss: 0.003
[30,    16] loss: 0.004
[30,    21] loss: 0.001
[30,    26] loss: 0.002
[30,    31] loss: 0.002
[30,    36] loss: 0.002
[30,    41] loss: 0.001
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.001
[31,     6] loss: 0.002
[31,    11] loss: 0.003
[31,    16] loss: 0.001
[31,    21] loss: 0.006
[31,    26] loss: 0.002
[31,    31] loss: 0.007
[31,    36] loss: 0.001
[31,    41] loss: 0.004
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.003
[32,     6] loss: 0.001
[32,    11] loss: 0.002
[32,    16] loss: 0.002
[32,    21] loss: 0.002
[32,    26] loss: 0.002
[32,    31] loss: 0.001
[32,    36] loss: 0.001
[32,    41] loss: 0.001
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.002
[33,     6] loss: 0.004
[33,    11] loss: 0.001
[33,    16] loss: 0.003
[33,    21] loss: 0.004
[33,    26] loss: 0.001
[33,    31] loss: 0.005
[33,    36] loss: 0.003
[33,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.004
[34,     6] loss: 0.002
[34,    11] loss: 0.002
[34,    16] loss: 0.004
[34,    21] loss: 0.001
[34,    26] loss: 0.002
[34,    31] loss: 0.001
[34,    36] loss: 0.002
[34,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.004
[35,     6] loss: 0.003
[35,    11] loss: 0.001
[35,    16] loss: 0.004
[35,    21] loss: 0.001
[35,    26] loss: 0.013
[35,    31] loss: 0.004
[35,    36] loss: 0.002
[35,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.003
[36,     6] loss: 0.002
[36,    11] loss: 0.002
[36,    16] loss: 0.001
[36,    21] loss: 0.001
[36,    26] loss: 0.001
[36,    31] loss: 0.002
[36,    36] loss: 0.002
[36,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.004
[37,     6] loss: 0.001
[37,    11] loss: 0.001
[37,    16] loss: 0.001
[37,    21] loss: 0.002
[37,    26] loss: 0.002
[37,    31] loss: 0.001
[37,    36] loss: 0.002
[37,    41] loss: 0.005
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.001
[38,     6] loss: 0.001
[38,    11] loss: 0.002
[38,    16] loss: 0.002
[38,    21] loss: 0.003
[38,    26] loss: 0.005
[38,    31] loss: 0.002
[38,    36] loss: 0.002
[38,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.001
[39,     6] loss: 0.001
[39,    11] loss: 0.004
[39,    16] loss: 0.002
[39,    21] loss: 0.003
[39,    26] loss: 0.001
[39,    31] loss: 0.002
[39,    36] loss: 0.002
[39,    41] loss: 0.016
[[116   0]
 [ 11 168]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[40,     1] loss: 0.151
[40,     6] loss: 0.052
[40,    11] loss: 0.008
[40,    16] loss: 0.005
[40,    21] loss: 0.003
[40,    26] loss: 0.002
[40,    31] loss: 0.004
[40,    36] loss: 0.001
[40,    41] loss: 0.003
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.002
[41,     6] loss: 0.004
[41,    11] loss: 0.001
[41,    16] loss: 0.001
[41,    21] loss: 0.001
[41,    26] loss: 0.003
[41,    31] loss: 0.001
[41,    36] loss: 0.004
[41,    41] loss: 0.001
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.003
[42,     6] loss: 0.001
[42,    11] loss: 0.001
[42,    16] loss: 0.002
[42,    21] loss: 0.001
[42,    26] loss: 0.001
[42,    31] loss: 0.004
[42,    36] loss: 0.001
[42,    41] loss: 0.001
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.002
[43,     6] loss: 0.002
[43,    11] loss: 0.001
[43,    16] loss: 0.002
[43,    21] loss: 0.004
[43,    26] loss: 0.001
[43,    31] loss: 0.002
[43,    36] loss: 0.002
[43,    41] loss: 0.001
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.001
[44,     6] loss: 0.002
[44,    11] loss: 0.002
[44,    16] loss: 0.003
[44,    21] loss: 0.005
[44,    26] loss: 0.005
[44,    31] loss: 0.002
[44,    36] loss: 0.001
[44,    41] loss: 0.004
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.001
[45,     6] loss: 0.001
[45,    11] loss: 0.002
[45,    16] loss: 0.003
[45,    21] loss: 0.002
[45,    26] loss: 0.002
[45,    31] loss: 0.002
[45,    36] loss: 0.003
[45,    41] loss: 0.001
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.001
[46,     6] loss: 0.002
[46,    11] loss: 0.002
[46,    16] loss: 0.001
[46,    21] loss: 0.001
[46,    26] loss: 0.001
[46,    31] loss: 0.002
[46,    36] loss: 0.001
[46,    41] loss: 0.001
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.002
[47,     6] loss: 0.005
[47,    11] loss: 0.001
[47,    16] loss: 0.003
[47,    21] loss: 0.001
[47,    26] loss: 0.002
[47,    31] loss: 0.002
[47,    36] loss: 0.002
[47,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.002
[48,     6] loss: 0.007
[48,    11] loss: 0.002
[48,    16] loss: 0.001
[48,    21] loss: 0.002
[48,    26] loss: 0.001
[48,    31] loss: 0.002
[48,    36] loss: 0.003
[48,    41] loss: 0.001
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.001
[49,     6] loss: 0.001
[49,    11] loss: 0.002
[49,    16] loss: 0.002
[49,    21] loss: 0.002
[49,    26] loss: 0.002
[49,    31] loss: 0.002
[49,    36] loss: 0.003
[49,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.002
[50,     6] loss: 0.001
[50,    11] loss: 0.001
[50,    16] loss: 0.002
[50,    21] loss: 0.002
[50,    26] loss: 0.002
[50,    31] loss: 0.002
[50,    36] loss: 0.003
[50,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.001
[51,     6] loss: 0.001
[51,    11] loss: 0.001
[51,    16] loss: 0.001
[51,    21] loss: 0.003
[51,    26] loss: 0.001
[51,    31] loss: 0.002
[51,    36] loss: 0.001
[51,    41] loss: 0.001
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.002
[52,     6] loss: 0.003
[52,    11] loss: 0.003
[52,    16] loss: 0.002
[52,    21] loss: 0.001
[52,    26] loss: 0.002
[52,    31] loss: 0.004
[52,    36] loss: 0.002
[52,    41] loss: 0.006
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.002
[53,     6] loss: 0.001
[53,    11] loss: 0.004
[53,    16] loss: 0.001
[53,    21] loss: 0.002
[53,    26] loss: 0.002
[53,    31] loss: 0.004
[53,    36] loss: 0.001
[53,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.002
[54,     6] loss: 0.002
[54,    11] loss: 0.003
[54,    16] loss: 0.001
[54,    21] loss: 0.002
[54,    26] loss: 0.002
[54,    31] loss: 0.001
[54,    36] loss: 0.001
[54,    41] loss: 0.001
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.001
[55,     6] loss: 0.002
[55,    11] loss: 0.003
[55,    16] loss: 0.007
[55,    21] loss: 0.003
[55,    26] loss: 0.001
[55,    31] loss: 0.004
[55,    36] loss: 0.002
[55,    41] loss: 0.001
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.001
[56,     6] loss: 0.003
[56,    11] loss: 0.003
[56,    16] loss: 0.001
[56,    21] loss: 0.002
[56,    26] loss: 0.003
[56,    31] loss: 0.004
[56,    36] loss: 0.006
[56,    41] loss: 0.003
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.002
[57,     6] loss: 0.001
[57,    11] loss: 0.001
[57,    16] loss: 0.002
[57,    21] loss: 0.001
[57,    26] loss: 0.001
[57,    31] loss: 0.002
[57,    36] loss: 0.001
[57,    41] loss: 0.002
[[116   0]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.001
[58,     6] loss: 0.001
[58,    11] loss: 0.001
[58,    16] loss: 0.002
[58,    21] loss: 0.003
[58,    26] loss: 0.002
[58,    31] loss: 0.043
[58,    36] loss: 0.632
[58,    41] loss: 0.246
[[108   8]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[59,     1] loss: 0.182
[59,     6] loss: 0.197
[59,    11] loss: 0.064
[59,    16] loss: 0.036
[59,    21] loss: 0.033
[59,    26] loss: 0.022
[59,    31] loss: 0.124
[59,    36] loss: 0.009
[59,    41] loss: 0.054
[[112   4]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[60,     1] loss: 0.017
[60,     6] loss: 0.008
[60,    11] loss: 0.013
[60,    16] loss: 0.087
[60,    21] loss: 0.009
[60,    26] loss: 0.027
[60,    31] loss: 0.007
[60,    36] loss: 0.004
[60,    41] loss: 0.005
[[113   3]
 [  0 179]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_left_switch
952
30
CONCEPT SAMPLE COUNT concept_left_switch 30 952
687 295
[1,     1] loss: 0.691
[1,     6] loss: 0.673
[1,    11] loss: 0.532
[1,    16] loss: 0.016
[1,    21] loss: 0.007
[1,    26] loss: 0.178
[1,    31] loss: 0.004
[1,    36] loss: 0.002
[1,    41] loss: 0.001
[[285   0]
 [ 10   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[2,     1] loss: 0.568
[2,     6] loss: 0.014
[2,    11] loss: 0.003
[2,    16] loss: 0.009
[2,    21] loss: 0.001
[2,    26] loss: 0.001
[2,    31] loss: 0.001
[2,    36] loss: 0.001
[2,    41] loss: 0.001
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[3,     1] loss: 0.003
[3,     6] loss: 0.003
[3,    11] loss: 0.000
[3,    16] loss: 0.006
[3,    21] loss: 0.000
[3,    26] loss: 0.001
[3,    31] loss: 0.003
[3,    36] loss: 0.001
[3,    41] loss: 0.005
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.001
[4,     6] loss: 0.001
[4,    11] loss: 0.002
[4,    16] loss: 0.000
[4,    21] loss: 0.049
[4,    26] loss: 0.001
[4,    31] loss: 0.004
[4,    36] loss: 0.002
[4,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.003
[5,     6] loss: 0.001
[5,    11] loss: 0.001
[5,    16] loss: 0.000
[5,    21] loss: 0.002
[5,    26] loss: 0.000
[5,    31] loss: 0.002
[5,    36] loss: 0.000
[5,    41] loss: 0.001
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.000
[6,     6] loss: 0.000
[6,    11] loss: 0.002
[6,    16] loss: 0.000
[6,    21] loss: 0.001
[6,    26] loss: 0.000
[6,    31] loss: 0.005
[6,    36] loss: 0.001
[6,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.000
[7,     6] loss: 0.001
[7,    11] loss: 0.000
[7,    16] loss: 0.001
[7,    21] loss: 0.001
[7,    26] loss: 0.001
[7,    31] loss: 0.000
[7,    36] loss: 0.000
[7,    41] loss: 0.001
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.001
[8,     6] loss: 0.001
[8,    11] loss: 0.003
[8,    16] loss: 0.002
[8,    21] loss: 0.000
[8,    26] loss: 0.000
[8,    31] loss: 0.000
[8,    36] loss: 0.000
[8,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.000
[9,     6] loss: 0.000
[9,    11] loss: 0.002
[9,    16] loss: 0.003
[9,    21] loss: 0.002
[9,    26] loss: 0.001
[9,    31] loss: 0.000
[9,    36] loss: 0.002
[9,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.000
[10,     6] loss: 0.002
[10,    11] loss: 0.000
[10,    16] loss: 0.000
[10,    21] loss: 0.000
[10,    26] loss: 0.000
[10,    31] loss: 0.000
[10,    36] loss: 0.002
[10,    41] loss: 0.001
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.011
[11,     6] loss: 0.011
[11,    11] loss: 0.225
[11,    16] loss: 0.028
[11,    21] loss: 0.023
[11,    26] loss: 0.017
[11,    31] loss: 0.023
[11,    36] loss: 0.002
[11,    41] loss: 0.004
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.002
[12,     6] loss: 0.002
[12,    11] loss: 0.004
[12,    16] loss: 0.001
[12,    21] loss: 0.004
[12,    26] loss: 0.001
[12,    31] loss: 0.002
[12,    36] loss: 0.002
[12,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.001
[13,     6] loss: 0.001
[13,    11] loss: 0.000
[13,    16] loss: 0.001
[13,    21] loss: 0.002
[13,    26] loss: 0.001
[13,    31] loss: 0.000
[13,    36] loss: 0.001
[13,    41] loss: 0.003
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.001
[14,     6] loss: 0.001
[14,    11] loss: 0.001
[14,    16] loss: 0.000
[14,    21] loss: 0.001
[14,    26] loss: 0.000
[14,    31] loss: 0.001
[14,    36] loss: 0.000
[14,    41] loss: 0.002
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.001
[15,     6] loss: 0.001
[15,    11] loss: 0.003
[15,    16] loss: 0.001
[15,    21] loss: 0.001
[15,    26] loss: 0.001
[15,    31] loss: 0.000
[15,    36] loss: 0.001
[15,    41] loss: 0.001
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.000
[16,     6] loss: 0.002
[16,    11] loss: 0.000
[16,    16] loss: 0.002
[16,    21] loss: 0.002
[16,    26] loss: 0.002
[16,    31] loss: 0.000
[16,    36] loss: 0.001
[16,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.001
[17,     6] loss: 0.000
[17,    11] loss: 0.001
[17,    16] loss: 0.000
[17,    21] loss: 0.001
[17,    26] loss: 0.001
[17,    31] loss: 0.001
[17,    36] loss: 0.004
[17,    41] loss: 0.002
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.000
[18,     6] loss: 0.001
[18,    11] loss: 0.002
[18,    16] loss: 0.000
[18,    21] loss: 0.000
[18,    26] loss: 0.000
[18,    31] loss: 0.002
[18,    36] loss: 0.000
[18,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.000
[19,     6] loss: 0.000
[19,    11] loss: 0.002
[19,    16] loss: 0.002
[19,    21] loss: 0.003
[19,    26] loss: 0.001
[19,    31] loss: 0.000
[19,    36] loss: 0.002
[19,    41] loss: 0.002
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.001
[20,     6] loss: 0.001
[20,    11] loss: 0.001
[20,    16] loss: 0.001
[20,    21] loss: 0.000
[20,    26] loss: 0.004
[20,    31] loss: 0.001
[20,    36] loss: 0.001
[20,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.000
[21,     6] loss: 0.000
[21,    11] loss: 0.001
[21,    16] loss: 0.000
[21,    21] loss: 0.001
[21,    26] loss: 0.000
[21,    31] loss: 0.000
[21,    36] loss: 0.001
[21,    41] loss: 0.001
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.002
[22,     6] loss: 0.001
[22,    11] loss: 0.001
[22,    16] loss: 0.002
[22,    21] loss: 0.000
[22,    26] loss: 0.000
[22,    31] loss: 0.000
[22,    36] loss: 0.003
[22,    41] loss: 0.002
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.000
[23,     6] loss: 0.000
[23,    11] loss: 0.002
[23,    16] loss: 0.001
[23,    21] loss: 0.001
[23,    26] loss: 0.001
[23,    31] loss: 0.001
[23,    36] loss: 0.001
[23,    41] loss: 0.002
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.002
[24,     6] loss: 0.061
[24,    11] loss: 0.071
[24,    16] loss: 0.002
[24,    21] loss: 0.011
[24,    26] loss: 0.007
[24,    31] loss: 0.001
[24,    36] loss: 0.001
[24,    41] loss: 0.004
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.000
[25,     6] loss: 0.000
[25,    11] loss: 0.000
[25,    16] loss: 0.002
[25,    21] loss: 0.001
[25,    26] loss: 0.001
[25,    31] loss: 0.000
[25,    36] loss: 0.002
[25,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.000
[26,     6] loss: 0.000
[26,    11] loss: 0.000
[26,    16] loss: 0.000
[26,    21] loss: 0.000
[26,    26] loss: 0.000
[26,    31] loss: 0.000
[26,    36] loss: 0.001
[26,    41] loss: 0.001
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.003
[27,     6] loss: 0.001
[27,    11] loss: 0.000
[27,    16] loss: 0.000
[27,    21] loss: 0.001
[27,    26] loss: 0.000
[27,    31] loss: 0.000
[27,    36] loss: 0.000
[27,    41] loss: 0.003
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.002
[28,     6] loss: 0.000
[28,    11] loss: 0.001
[28,    16] loss: 0.000
[28,    21] loss: 0.000
[28,    26] loss: 0.001
[28,    31] loss: 0.000
[28,    36] loss: 0.005
[28,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.001
[29,     6] loss: 0.000
[29,    11] loss: 0.000
[29,    16] loss: 0.000
[29,    21] loss: 0.002
[29,    26] loss: 0.001
[29,    31] loss: 0.003
[29,    36] loss: 0.000
[29,    41] loss: 0.001
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.001
[30,     6] loss: 0.003
[30,    11] loss: 0.001
[30,    16] loss: 0.002
[30,    21] loss: 0.000
[30,    26] loss: 0.003
[30,    31] loss: 0.001
[30,    36] loss: 0.000
[30,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.002
[31,     6] loss: 0.000
[31,    11] loss: 0.000
[31,    16] loss: 0.000
[31,    21] loss: 0.002
[31,    26] loss: 0.002
[31,    31] loss: 0.000
[31,    36] loss: 0.000
[31,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.000
[32,     6] loss: 0.001
[32,    11] loss: 0.001
[32,    16] loss: 0.003
[32,    21] loss: 0.000
[32,    26] loss: 0.000
[32,    31] loss: 0.001
[32,    36] loss: 0.002
[32,    41] loss: 0.001
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.001
[33,     6] loss: 0.002
[33,    11] loss: 0.001
[33,    16] loss: 0.001
[33,    21] loss: 0.000
[33,    26] loss: 0.000
[33,    31] loss: 0.001
[33,    36] loss: 0.000
[33,    41] loss: 0.006
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.002
[34,     6] loss: 0.003
[34,    11] loss: 0.003
[34,    16] loss: 0.003
[34,    21] loss: 0.001
[34,    26] loss: 0.001
[34,    31] loss: 0.001
[34,    36] loss: 0.001
[34,    41] loss: 0.001
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.001
[35,     6] loss: 0.003
[35,    11] loss: 0.001
[35,    16] loss: 0.000
[35,    21] loss: 0.001
[35,    26] loss: 0.001
[35,    31] loss: 0.000
[35,    36] loss: 0.001
[35,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.000
[36,     6] loss: 0.001
[36,    11] loss: 0.001
[36,    16] loss: 0.002
[36,    21] loss: 0.001
[36,    26] loss: 0.000
[36,    31] loss: 0.001
[36,    36] loss: 0.004
[36,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.000
[37,     6] loss: 0.000
[37,    11] loss: 0.002
[37,    16] loss: 0.003
[37,    21] loss: 0.002
[37,    26] loss: 0.001
[37,    31] loss: 0.000
[37,    36] loss: 0.000
[37,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.000
[38,     6] loss: 0.000
[38,    11] loss: 0.000
[38,    16] loss: 0.000
[38,    21] loss: 0.000
[38,    26] loss: 0.000
[38,    31] loss: 0.001
[38,    36] loss: 0.000
[38,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.001
[39,     6] loss: 0.000
[39,    11] loss: 0.000
[39,    16] loss: 0.000
[39,    21] loss: 0.000
[39,    26] loss: 0.000
[39,    31] loss: 0.000
[39,    36] loss: 0.001
[39,    41] loss: 0.013
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.002
[40,     6] loss: 0.001
[40,    11] loss: 0.001
[40,    16] loss: 0.000
[40,    21] loss: 0.002
[40,    26] loss: 0.001
[40,    31] loss: 0.000
[40,    36] loss: 0.000
[40,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.000
[41,     6] loss: 0.001
[41,    11] loss: 0.000
[41,    16] loss: 0.000
[41,    21] loss: 0.004
[41,    26] loss: 0.000
[41,    31] loss: 0.000
[41,    36] loss: 0.001
[41,    41] loss: 0.001
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.001
[42,     6] loss: 0.000
[42,    11] loss: 0.001
[42,    16] loss: 0.001
[42,    21] loss: 0.002
[42,    26] loss: 0.002
[42,    31] loss: 0.000
[42,    36] loss: 0.001
[42,    41] loss: 0.002
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.001
[43,     6] loss: 0.001
[43,    11] loss: 0.001
[43,    16] loss: 0.000
[43,    21] loss: 0.000
[43,    26] loss: 0.001
[43,    31] loss: 0.000
[43,    36] loss: 0.001
[43,    41] loss: 0.002
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.000
[44,     6] loss: 0.000
[44,    11] loss: 0.003
[44,    16] loss: 0.001
[44,    21] loss: 0.000
[44,    26] loss: 0.001
[44,    31] loss: 0.003
[44,    36] loss: 0.000
[44,    41] loss: 0.002
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.000
[45,     6] loss: 0.001
[45,    11] loss: 0.001
[45,    16] loss: 0.001
[45,    21] loss: 0.000
[45,    26] loss: 0.003
[45,    31] loss: 0.000
[45,    36] loss: 0.000
[45,    41] loss: 0.001
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.000
[46,     6] loss: 0.001
[46,    11] loss: 0.001
[46,    16] loss: 0.000
[46,    21] loss: 0.000
[46,    26] loss: 0.000
[46,    31] loss: 0.001
[46,    36] loss: 0.001
[46,    41] loss: 0.001
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.000
[47,     6] loss: 0.000
[47,    11] loss: 0.000
[47,    16] loss: 0.002
[47,    21] loss: 0.000
[47,    26] loss: 0.002
[47,    31] loss: 0.001
[47,    36] loss: 0.002
[47,    41] loss: 0.001
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.002
[48,     6] loss: 0.001
[48,    11] loss: 0.000
[48,    16] loss: 0.000
[48,    21] loss: 0.000
[48,    26] loss: 0.000
[48,    31] loss: 0.000
[48,    36] loss: 0.001
[48,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.000
[49,     6] loss: 0.001
[49,    11] loss: 0.002
[49,    16] loss: 0.002
[49,    21] loss: 0.001
[49,    26] loss: 0.000
[49,    31] loss: 0.003
[49,    36] loss: 0.000
[49,    41] loss: 0.001
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.000
[50,     6] loss: 0.001
[50,    11] loss: 0.000
[50,    16] loss: 0.001
[50,    21] loss: 0.001
[50,    26] loss: 0.001
[50,    31] loss: 0.000
[50,    36] loss: 0.002
[50,    41] loss: 0.004
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.001
[51,     6] loss: 0.001
[51,    11] loss: 0.001
[51,    16] loss: 0.001
[51,    21] loss: 0.002
[51,    26] loss: 0.003
[51,    31] loss: 0.000
[51,    36] loss: 0.001
[51,    41] loss: 0.001
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.000
[52,     6] loss: 0.003
[52,    11] loss: 0.001
[52,    16] loss: 0.001
[52,    21] loss: 0.000
[52,    26] loss: 0.002
[52,    31] loss: 0.001
[52,    36] loss: 0.000
[52,    41] loss: 0.002
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.000
[53,     6] loss: 0.000
[53,    11] loss: 0.005
[53,    16] loss: 0.000
[53,    21] loss: 0.001
[53,    26] loss: 0.000
[53,    31] loss: 0.000
[53,    36] loss: 0.000
[53,    41] loss: 0.001
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.001
[54,     6] loss: 0.000
[54,    11] loss: 0.001
[54,    16] loss: 0.001
[54,    21] loss: 0.001
[54,    26] loss: 0.000
[54,    31] loss: 0.001
[54,    36] loss: 0.000
[54,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.000
[55,     6] loss: 0.002
[55,    11] loss: 0.000
[55,    16] loss: 0.001
[55,    21] loss: 0.001
[55,    26] loss: 0.002
[55,    31] loss: 0.001
[55,    36] loss: 0.001
[55,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.000
[56,     6] loss: 0.003
[56,    11] loss: 0.001
[56,    16] loss: 0.004
[56,    21] loss: 0.001
[56,    26] loss: 0.000
[56,    31] loss: 0.003
[56,    36] loss: 0.000
[56,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.001
[57,     6] loss: 0.001
[57,    11] loss: 0.001
[57,    16] loss: 0.000
[57,    21] loss: 0.002
[57,    26] loss: 0.000
[57,    31] loss: 0.000
[57,    36] loss: 0.001
[57,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.001
[58,     6] loss: 0.001
[58,    11] loss: 0.000
[58,    16] loss: 0.002
[58,    21] loss: 0.000
[58,    26] loss: 3.068
[58,    31] loss: 0.061
[58,    36] loss: 0.038
[58,    41] loss: 0.007
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.016
[59,     6] loss: 0.003
[59,    11] loss: 0.002
[59,    16] loss: 0.006
[59,    21] loss: 0.001
[59,    26] loss: 0.002
[59,    31] loss: 0.002
[59,    36] loss: 0.004
[59,    41] loss: 0.007
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.001
[60,     6] loss: 0.001
[60,    11] loss: 0.003
[60,    16] loss: 0.001
[60,    21] loss: 0.001
[60,    26] loss: 0.002
[60,    31] loss: 0.002
[60,    36] loss: 0.001
[60,    41] loss: 0.000
[[285   0]
 [  0  10]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_switch_on
650
332
CONCEPT SAMPLE COUNT concept_switch_on 332 650
687 295
[1,     1] loss: 0.697
[1,     6] loss: 0.862
[1,    11] loss: 0.677
[1,    16] loss: 0.588
[1,    21] loss: 0.532
[1,    26] loss: 0.218
[1,    31] loss: 0.121
[1,    36] loss: 0.013
[1,    41] loss: 0.007
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[2,     1] loss: 0.006
[2,     6] loss: 0.005
[2,    11] loss: 0.005
[2,    16] loss: 0.005
[2,    21] loss: 0.004
[2,    26] loss: 0.005
[2,    31] loss: 0.006
[2,    36] loss: 0.003
[2,    41] loss: 0.003
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[3,     1] loss: 0.005
[3,     6] loss: 0.002
[3,    11] loss: 0.002
[3,    16] loss: 0.010
[3,    21] loss: 0.159
[3,    26] loss: 0.015
[3,    31] loss: 0.006
[3,    36] loss: 0.005
[3,    41] loss: 0.005
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.003
[4,     6] loss: 0.003
[4,    11] loss: 0.003
[4,    16] loss: 0.004
[4,    21] loss: 0.003
[4,    26] loss: 0.003
[4,    31] loss: 0.003
[4,    36] loss: 0.003
[4,    41] loss: 0.003
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.003
[5,     6] loss: 0.003
[5,    11] loss: 0.002
[5,    16] loss: 0.004
[5,    21] loss: 0.003
[5,    26] loss: 0.003
[5,    31] loss: 0.003
[5,    36] loss: 0.004
[5,    41] loss: 0.003
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.003
[6,     6] loss: 0.003
[6,    11] loss: 0.002
[6,    16] loss: 0.003
[6,    21] loss: 0.003
[6,    26] loss: 0.003
[6,    31] loss: 0.003
[6,    36] loss: 0.002
[6,    41] loss: 0.002
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.002
[7,     6] loss: 0.002
[7,    11] loss: 0.003
[7,    16] loss: 0.002
[7,    21] loss: 0.002
[7,    26] loss: 0.002
[7,    31] loss: 0.002
[7,    36] loss: 0.002
[7,    41] loss: 0.002
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.002
[8,     6] loss: 0.002
[8,    11] loss: 0.002
[8,    16] loss: 0.002
[8,    21] loss: 0.002
[8,    26] loss: 0.002
[8,    31] loss: 0.002
[8,    36] loss: 0.002
[8,    41] loss: 0.002
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.002
[9,     6] loss: 0.002
[9,    11] loss: 0.002
[9,    16] loss: 0.002
[9,    21] loss: 0.002
[9,    26] loss: 0.002
[9,    31] loss: 0.002
[9,    36] loss: 0.001
[9,    41] loss: 0.002
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.002
[10,     6] loss: 0.002
[10,    11] loss: 0.002
[10,    16] loss: 0.002
[10,    21] loss: 0.002
[10,    26] loss: 0.002
[10,    31] loss: 0.002
[10,    36] loss: 0.002
[10,    41] loss: 0.002
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.002
[11,     6] loss: 0.002
[11,    11] loss: 0.002
[11,    16] loss: 0.001
[11,    21] loss: 0.002
[11,    26] loss: 0.001
[11,    31] loss: 0.001
[11,    36] loss: 0.001
[11,    41] loss: 0.002
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.001
[12,     6] loss: 0.001
[12,    11] loss: 0.001
[12,    16] loss: 0.001
[12,    21] loss: 0.002
[12,    26] loss: 0.001
[12,    31] loss: 0.001
[12,    36] loss: 0.001
[12,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.002
[13,     6] loss: 0.002
[13,    11] loss: 0.001
[13,    16] loss: 0.001
[13,    21] loss: 0.001
[13,    26] loss: 0.002
[13,    31] loss: 0.402
[13,    36] loss: 0.048
[13,    41] loss: 0.008
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.006
[14,     6] loss: 0.004
[14,    11] loss: 0.003
[14,    16] loss: 0.003
[14,    21] loss: 0.002
[14,    26] loss: 0.002
[14,    31] loss: 0.002
[14,    36] loss: 0.002
[14,    41] loss: 0.002
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.002
[15,     6] loss: 0.002
[15,    11] loss: 0.002
[15,    16] loss: 0.002
[15,    21] loss: 0.001
[15,    26] loss: 0.001
[15,    31] loss: 0.002
[15,    36] loss: 0.001
[15,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.001
[16,     6] loss: 0.001
[16,    11] loss: 0.001
[16,    16] loss: 0.001
[16,    21] loss: 0.001
[16,    26] loss: 0.001
[16,    31] loss: 0.001
[16,    36] loss: 0.001
[16,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.001
[17,     6] loss: 0.001
[17,    11] loss: 0.001
[17,    16] loss: 0.001
[17,    21] loss: 0.001
[17,    26] loss: 0.001
[17,    31] loss: 0.001
[17,    36] loss: 0.001
[17,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.001
[18,     6] loss: 0.001
[18,    11] loss: 0.001
[18,    16] loss: 0.001
[18,    21] loss: 0.001
[18,    26] loss: 0.001
[18,    31] loss: 0.001
[18,    36] loss: 0.001
[18,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.001
[19,     6] loss: 0.001
[19,    11] loss: 0.001
[19,    16] loss: 0.001
[19,    21] loss: 0.001
[19,    26] loss: 0.001
[19,    31] loss: 0.001
[19,    36] loss: 0.001
[19,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.001
[20,     6] loss: 0.001
[20,    11] loss: 0.001
[20,    16] loss: 0.001
[20,    21] loss: 0.001
[20,    26] loss: 0.001
[20,    31] loss: 0.001
[20,    36] loss: 0.001
[20,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.001
[21,     6] loss: 0.001
[21,    11] loss: 0.001
[21,    16] loss: 0.001
[21,    21] loss: 0.001
[21,    26] loss: 0.001
[21,    31] loss: 0.001
[21,    36] loss: 0.001
[21,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.001
[22,     6] loss: 0.001
[22,    11] loss: 0.001
[22,    16] loss: 0.001
[22,    21] loss: 0.001
[22,    26] loss: 0.001
[22,    31] loss: 0.001
[22,    36] loss: 0.001
[22,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.001
[23,     6] loss: 0.001
[23,    11] loss: 0.001
[23,    16] loss: 0.001
[23,    21] loss: 0.001
[23,    26] loss: 0.001
[23,    31] loss: 0.001
[23,    36] loss: 0.001
[23,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.001
[24,     6] loss: 0.001
[24,    11] loss: 0.001
[24,    16] loss: 0.001
[24,    21] loss: 0.001
[24,    26] loss: 0.001
[24,    31] loss: 0.001
[24,    36] loss: 0.001
[24,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.001
[25,     6] loss: 0.001
[25,    11] loss: 0.001
[25,    16] loss: 0.001
[25,    21] loss: 0.001
[25,    26] loss: 0.001
[25,    31] loss: 0.001
[25,    36] loss: 0.001
[25,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.001
[26,     6] loss: 0.001
[26,    11] loss: 0.001
[26,    16] loss: 0.001
[26,    21] loss: 0.001
[26,    26] loss: 0.001
[26,    31] loss: 0.001
[26,    36] loss: 0.001
[26,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.001
[27,     6] loss: 0.001
[27,    11] loss: 0.001
[27,    16] loss: 0.001
[27,    21] loss: 0.001
[27,    26] loss: 0.001
[27,    31] loss: 0.001
[27,    36] loss: 0.001
[27,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.001
[28,     6] loss: 0.001
[28,    11] loss: 0.001
[28,    16] loss: 0.001
[28,    21] loss: 0.001
[28,    26] loss: 0.001
[28,    31] loss: 0.001
[28,    36] loss: 0.001
[28,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.001
[29,     6] loss: 0.001
[29,    11] loss: 0.001
[29,    16] loss: 0.001
[29,    21] loss: 0.001
[29,    26] loss: 0.001
[29,    31] loss: 0.001
[29,    36] loss: 0.001
[29,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.001
[30,     6] loss: 0.001
[30,    11] loss: 0.001
[30,    16] loss: 0.001
[30,    21] loss: 0.001
[30,    26] loss: 0.001
[30,    31] loss: 0.001
[30,    36] loss: 0.001
[30,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.001
[31,     6] loss: 0.001
[31,    11] loss: 0.001
[31,    16] loss: 0.001
[31,    21] loss: 0.000
[31,    26] loss: 0.001
[31,    31] loss: 0.001
[31,    36] loss: 0.001
[31,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.001
[32,     6] loss: 0.001
[32,    11] loss: 0.714
[32,    16] loss: 0.068
[32,    21] loss: 0.016
[32,    26] loss: 0.008
[32,    31] loss: 0.007
[32,    36] loss: 0.004
[32,    41] loss: 0.004
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.004
[33,     6] loss: 0.004
[33,    11] loss: 0.003
[33,    16] loss: 0.003
[33,    21] loss: 0.003
[33,    26] loss: 0.003
[33,    31] loss: 0.003
[33,    36] loss: 0.003
[33,    41] loss: 0.002
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.002
[34,     6] loss: 0.002
[34,    11] loss: 0.002
[34,    16] loss: 0.002
[34,    21] loss: 0.002
[34,    26] loss: 0.002
[34,    31] loss: 0.002
[34,    36] loss: 0.002
[34,    41] loss: 0.002
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.002
[35,     6] loss: 0.002
[35,    11] loss: 0.002
[35,    16] loss: 0.002
[35,    21] loss: 0.002
[35,    26] loss: 0.002
[35,    31] loss: 0.001
[35,    36] loss: 0.002
[35,    41] loss: 0.002
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.002
[36,     6] loss: 0.002
[36,    11] loss: 0.001
[36,    16] loss: 0.002
[36,    21] loss: 0.002
[36,    26] loss: 0.002
[36,    31] loss: 0.002
[36,    36] loss: 0.002
[36,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.002
[37,     6] loss: 0.001
[37,    11] loss: 0.001
[37,    16] loss: 0.001
[37,    21] loss: 0.001
[37,    26] loss: 0.002
[37,    31] loss: 0.001
[37,    36] loss: 0.001
[37,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.001
[38,     6] loss: 0.002
[38,    11] loss: 0.001
[38,    16] loss: 0.001
[38,    21] loss: 0.002
[38,    26] loss: 0.001
[38,    31] loss: 0.001
[38,    36] loss: 0.001
[38,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.001
[39,     6] loss: 0.001
[39,    11] loss: 0.001
[39,    16] loss: 0.001
[39,    21] loss: 0.001
[39,    26] loss: 0.001
[39,    31] loss: 0.001
[39,    36] loss: 0.001
[39,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.001
[40,     6] loss: 0.001
[40,    11] loss: 0.001
[40,    16] loss: 0.001
[40,    21] loss: 0.001
[40,    26] loss: 0.000
[40,    31] loss: 0.000
[40,    36] loss: 0.001
[40,    41] loss: 0.000
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.001
[41,     6] loss: 0.000
[41,    11] loss: 0.000
[41,    16] loss: 0.000
[41,    21] loss: 0.000
[41,    26] loss: 0.000
[41,    31] loss: 0.000
[41,    36] loss: 1.564
[41,    41] loss: 0.546
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.198
[42,     6] loss: 0.058
[42,    11] loss: 0.020
[42,    16] loss: 0.009
[42,    21] loss: 0.004
[42,    26] loss: 0.003
[42,    31] loss: 0.002
[42,    36] loss: 0.002
[42,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.002
[43,     6] loss: 0.001
[43,    11] loss: 0.001
[43,    16] loss: 0.001
[43,    21] loss: 0.001
[43,    26] loss: 0.001
[43,    31] loss: 0.001
[43,    36] loss: 0.001
[43,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.001
[44,     6] loss: 0.001
[44,    11] loss: 0.001
[44,    16] loss: 0.001
[44,    21] loss: 0.001
[44,    26] loss: 0.001
[44,    31] loss: 0.001
[44,    36] loss: 0.001
[44,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.001
[45,     6] loss: 0.001
[45,    11] loss: 0.001
[45,    16] loss: 0.001
[45,    21] loss: 0.001
[45,    26] loss: 0.001
[45,    31] loss: 0.001
[45,    36] loss: 0.001
[45,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.001
[46,     6] loss: 0.001
[46,    11] loss: 0.001
[46,    16] loss: 0.001
[46,    21] loss: 0.001
[46,    26] loss: 0.001
[46,    31] loss: 0.001
[46,    36] loss: 0.001
[46,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.001
[47,     6] loss: 0.001
[47,    11] loss: 0.001
[47,    16] loss: 0.001
[47,    21] loss: 0.001
[47,    26] loss: 0.001
[47,    31] loss: 0.001
[47,    36] loss: 0.001
[47,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.001
[48,     6] loss: 0.001
[48,    11] loss: 0.001
[48,    16] loss: 0.001
[48,    21] loss: 0.001
[48,    26] loss: 0.001
[48,    31] loss: 0.001
[48,    36] loss: 0.001
[48,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.001
[49,     6] loss: 0.001
[49,    11] loss: 0.001
[49,    16] loss: 0.001
[49,    21] loss: 0.001
[49,    26] loss: 0.001
[49,    31] loss: 0.001
[49,    36] loss: 0.001
[49,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.001
[50,     6] loss: 0.001
[50,    11] loss: 0.001
[50,    16] loss: 0.001
[50,    21] loss: 0.001
[50,    26] loss: 0.001
[50,    31] loss: 0.001
[50,    36] loss: 0.001
[50,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.001
[51,     6] loss: 0.001
[51,    11] loss: 0.001
[51,    16] loss: 0.001
[51,    21] loss: 0.001
[51,    26] loss: 0.001
[51,    31] loss: 0.001
[51,    36] loss: 0.001
[51,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.001
[52,     6] loss: 0.001
[52,    11] loss: 0.001
[52,    16] loss: 0.001
[52,    21] loss: 0.001
[52,    26] loss: 0.001
[52,    31] loss: 0.001
[52,    36] loss: 0.001
[52,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.001
[53,     6] loss: 0.001
[53,    11] loss: 0.001
[53,    16] loss: 0.001
[53,    21] loss: 0.001
[53,    26] loss: 0.001
[53,    31] loss: 0.001
[53,    36] loss: 0.001
[53,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.001
[54,     6] loss: 0.001
[54,    11] loss: 0.001
[54,    16] loss: 0.001
[54,    21] loss: 0.001
[54,    26] loss: 0.001
[54,    31] loss: 0.001
[54,    36] loss: 0.001
[54,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.001
[55,     6] loss: 0.001
[55,    11] loss: 0.001
[55,    16] loss: 0.001
[55,    21] loss: 0.001
[55,    26] loss: 0.001
[55,    31] loss: 0.001
[55,    36] loss: 0.001
[55,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.001
[56,     6] loss: 0.001
[56,    11] loss: 0.001
[56,    16] loss: 0.001
[56,    21] loss: 0.001
[56,    26] loss: 0.001
[56,    31] loss: 0.001
[56,    36] loss: 0.001
[56,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.002
[57,     6] loss: 0.557
[57,    11] loss: 0.191
[57,    16] loss: 0.372
[57,    21] loss: 0.113
[57,    26] loss: 0.017
[57,    31] loss: 0.007
[57,    36] loss: 0.004
[57,    41] loss: 0.003
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.003
[58,     6] loss: 0.003
[58,    11] loss: 0.002
[58,    16] loss: 0.002
[58,    21] loss: 0.002
[58,    26] loss: 0.002
[58,    31] loss: 0.002
[58,    36] loss: 0.002
[58,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.002
[59,     6] loss: 0.002
[59,    11] loss: 0.002
[59,    16] loss: 0.001
[59,    21] loss: 0.001
[59,    26] loss: 0.002
[59,    31] loss: 0.002
[59,    36] loss: 0.002
[59,    41] loss: 0.002
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.001
[60,     6] loss: 0.002
[60,    11] loss: 0.002
[60,    16] loss: 0.001
[60,    21] loss: 0.002
[60,    26] loss: 0.001
[60,    31] loss: 0.001
[60,    36] loss: 0.001
[60,    41] loss: 0.001
[[199   0]
 [  0  96]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_target_above
953
29
CONCEPT SAMPLE COUNT concept_target_above 29 953
687 295
[1,     1] loss: 0.808
[1,     6] loss: 0.000
[1,    11] loss: 0.623
[1,    16] loss: 0.001
[1,    21] loss: 0.307
[1,    26] loss: 0.353
[1,    31] loss: 0.018
[1,    36] loss: 0.010
[1,    41] loss: 0.004
[[282   0]
 [ 13   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 95 %
[2,     1] loss: 0.003
[2,     6] loss: 0.002
[2,    11] loss: 0.002
[2,    16] loss: 0.219
[2,    21] loss: 0.208
[2,    26] loss: 0.350
[2,    31] loss: 0.200
[2,    36] loss: 0.111
[2,    41] loss: 0.015
[[282   0]
 [ 13   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 95 %
[3,     1] loss: 0.073
[3,     6] loss: 0.003
[3,    11] loss: 0.042
[3,    16] loss: 0.003
[3,    21] loss: 0.003
[3,    26] loss: 0.033
[3,    31] loss: 0.001
[3,    36] loss: 0.018
[3,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[4,     1] loss: 0.000
[4,     6] loss: 0.001
[4,    11] loss: 0.028
[4,    16] loss: 0.002
[4,    21] loss: 0.002
[4,    26] loss: 0.016
[4,    31] loss: 0.007
[4,    36] loss: 0.001
[4,    41] loss: 0.002
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[5,     1] loss: 0.001
[5,     6] loss: 0.001
[5,    11] loss: 0.000
[5,    16] loss: 0.001
[5,    21] loss: 0.240
[5,    26] loss: 0.002
[5,    31] loss: 0.044
[5,    36] loss: 0.001
[5,    41] loss: 0.029
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[6,     1] loss: 0.001
[6,     6] loss: 0.000
[6,    11] loss: 0.002
[6,    16] loss: 0.009
[6,    21] loss: 0.003
[6,    26] loss: 0.000
[6,    31] loss: 0.002
[6,    36] loss: 0.005
[6,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[7,     1] loss: 0.002
[7,     6] loss: 0.001
[7,    11] loss: 0.001
[7,    16] loss: 0.002
[7,    21] loss: 0.002
[7,    26] loss: 0.000
[7,    31] loss: 0.001
[7,    36] loss: 0.003
[7,    41] loss: 0.194
[[282   0]
 [ 13   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 95 %
[8,     1] loss: 0.005
[8,     6] loss: 0.010
[8,    11] loss: 0.025
[8,    16] loss: 0.008
[8,    21] loss: 0.003
[8,    26] loss: 0.005
[8,    31] loss: 0.002
[8,    36] loss: 0.002
[8,    41] loss: 0.002
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[9,     1] loss: 0.007
[9,     6] loss: 0.004
[9,    11] loss: 0.001
[9,    16] loss: 0.012
[9,    21] loss: 0.001
[9,    26] loss: 0.008
[9,    31] loss: 0.001
[9,    36] loss: 0.001
[9,    41] loss: 0.011
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[10,     1] loss: 0.004
[10,     6] loss: 0.001
[10,    11] loss: 0.001
[10,    16] loss: 0.001
[10,    21] loss: 0.007
[10,    26] loss: 0.001
[10,    31] loss: 0.001
[10,    36] loss: 0.000
[10,    41] loss: 0.000
[[282   0]
 [ 13   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 95 %
[11,     1] loss: 0.000
[11,     6] loss: 0.110
[11,    11] loss: 0.006
[11,    16] loss: 0.002
[11,    21] loss: 0.001
[11,    26] loss: 0.001
[11,    31] loss: 0.008
[11,    36] loss: 0.006
[11,    41] loss: 0.001
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[12,     1] loss: 0.014
[12,     6] loss: 0.001
[12,    11] loss: 0.000
[12,    16] loss: 0.190
[12,    21] loss: 0.001
[12,    26] loss: 0.001
[12,    31] loss: 0.001
[12,    36] loss: 0.002
[12,    41] loss: 0.001
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[13,     1] loss: 0.012
[13,     6] loss: 0.000
[13,    11] loss: 0.000
[13,    16] loss: 0.001
[13,    21] loss: 0.005
[13,    26] loss: 0.000
[13,    31] loss: 0.001
[13,    36] loss: 0.134
[13,    41] loss: 0.002
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[14,     1] loss: 0.001
[14,     6] loss: 0.001
[14,    11] loss: 0.001
[14,    16] loss: 0.001
[14,    21] loss: 0.000
[14,    26] loss: 0.004
[14,    31] loss: 0.001
[14,    36] loss: 0.007
[14,    41] loss: 0.001
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[15,     1] loss: 0.006
[15,     6] loss: 0.001
[15,    11] loss: 0.000
[15,    16] loss: 0.004
[15,    21] loss: 0.001
[15,    26] loss: 0.001
[15,    31] loss: 0.004
[15,    36] loss: 0.001
[15,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[16,     1] loss: 0.001
[16,     6] loss: 0.007
[16,    11] loss: 0.001
[16,    16] loss: 0.002
[16,    21] loss: 0.005
[16,    26] loss: 0.014
[16,    31] loss: 0.001
[16,    36] loss: 0.001
[16,    41] loss: 0.008
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[17,     1] loss: 0.002
[17,     6] loss: 0.001
[17,    11] loss: 0.000
[17,    16] loss: 0.015
[17,    21] loss: 0.009
[17,    26] loss: 0.001
[17,    31] loss: 0.007
[17,    36] loss: 0.004
[17,    41] loss: 0.002
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[18,     1] loss: 0.000
[18,     6] loss: 0.001
[18,    11] loss: 0.000
[18,    16] loss: 0.004
[18,    21] loss: 0.003
[18,    26] loss: 0.001
[18,    31] loss: 0.001
[18,    36] loss: 0.001
[18,    41] loss: 0.001
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[19,     1] loss: 0.001
[19,     6] loss: 0.129
[19,    11] loss: 0.033
[19,    16] loss: 0.010
[19,    21] loss: 0.001
[19,    26] loss: 0.001
[19,    31] loss: 0.006
[19,    36] loss: 0.006
[19,    41] loss: 0.005
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[20,     1] loss: 0.172
[20,     6] loss: 0.019
[20,    11] loss: 0.000
[20,    16] loss: 0.001
[20,    21] loss: 0.001
[20,    26] loss: 0.000
[20,    31] loss: 0.011
[20,    36] loss: 0.001
[20,    41] loss: 0.001
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[21,     1] loss: 0.000
[21,     6] loss: 0.000
[21,    11] loss: 0.000
[21,    16] loss: 0.001
[21,    21] loss: 0.004
[21,    26] loss: 0.004
[21,    31] loss: 0.004
[21,    36] loss: 0.188
[21,    41] loss: 0.014
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[22,     1] loss: 0.007
[22,     6] loss: 0.001
[22,    11] loss: 0.001
[22,    16] loss: 0.001
[22,    21] loss: 0.000
[22,    26] loss: 0.000
[22,    31] loss: 0.016
[22,    36] loss: 0.000
[22,    41] loss: 0.001
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[23,     1] loss: 0.000
[23,     6] loss: 0.011
[23,    11] loss: 0.004
[23,    16] loss: 0.001
[23,    21] loss: 0.008
[23,    26] loss: 0.008
[23,    31] loss: 0.001
[23,    36] loss: 0.014
[23,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[24,     1] loss: 0.001
[24,     6] loss: 0.000
[24,    11] loss: 0.000
[24,    16] loss: 0.001
[24,    21] loss: 0.001
[24,    26] loss: 0.007
[24,    31] loss: 0.000
[24,    36] loss: 0.000
[24,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[25,     1] loss: 0.001
[25,     6] loss: 0.009
[25,    11] loss: 0.001
[25,    16] loss: 0.001
[25,    21] loss: 0.001
[25,    26] loss: 0.001
[25,    31] loss: 0.002
[25,    36] loss: 0.001
[25,    41] loss: 0.001
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[26,     1] loss: 0.005
[26,     6] loss: 0.001
[26,    11] loss: 0.001
[26,    16] loss: 0.000
[26,    21] loss: 0.042
[26,    26] loss: 0.000
[26,    31] loss: 0.001
[26,    36] loss: 0.002
[26,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[27,     1] loss: 0.006
[27,     6] loss: 0.000
[27,    11] loss: 0.009
[27,    16] loss: 0.001
[27,    21] loss: 0.001
[27,    26] loss: 0.019
[27,    31] loss: 0.001
[27,    36] loss: 0.001
[27,    41] loss: 0.009
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[28,     1] loss: 0.009
[28,     6] loss: 0.000
[28,    11] loss: 0.001
[28,    16] loss: 0.001
[28,    21] loss: 0.005
[28,    26] loss: 0.004
[28,    31] loss: 0.000
[28,    36] loss: 0.000
[28,    41] loss: 0.017
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[29,     1] loss: 0.001
[29,     6] loss: 0.001
[29,    11] loss: 0.000
[29,    16] loss: 0.000
[29,    21] loss: 0.001
[29,    26] loss: 0.001
[29,    31] loss: 0.167
[29,    36] loss: 0.009
[29,    41] loss: 0.001
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[30,     1] loss: 0.001
[30,     6] loss: 0.001
[30,    11] loss: 0.000
[30,    16] loss: 0.005
[30,    21] loss: 0.000
[30,    26] loss: 0.174
[30,    31] loss: 0.005
[30,    36] loss: 0.000
[30,    41] loss: 0.001
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[31,     1] loss: 0.006
[31,     6] loss: 0.000
[31,    11] loss: 0.000
[31,    16] loss: 0.008
[31,    21] loss: 0.001
[31,    26] loss: 0.004
[31,    31] loss: 0.000
[31,    36] loss: 0.000
[31,    41] loss: 0.009
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[32,     1] loss: 0.003
[32,     6] loss: 0.006
[32,    11] loss: 0.002
[32,    16] loss: 0.017
[32,    21] loss: 0.001
[32,    26] loss: 0.018
[32,    31] loss: 0.001
[32,    36] loss: 0.015
[32,    41] loss: 0.001
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[33,     1] loss: 0.009
[33,     6] loss: 0.000
[33,    11] loss: 0.001
[33,    16] loss: 0.000
[33,    21] loss: 0.001
[33,    26] loss: 0.001
[33,    31] loss: 0.011
[33,    36] loss: 0.000
[33,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[34,     1] loss: 0.016
[34,     6] loss: 0.001
[34,    11] loss: 0.000
[34,    16] loss: 0.012
[34,    21] loss: 0.001
[34,    26] loss: 0.020
[34,    31] loss: 0.001
[34,    36] loss: 0.000
[34,    41] loss: 0.007
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[35,     1] loss: 0.006
[35,     6] loss: 0.011
[35,    11] loss: 0.001
[35,    16] loss: 0.000
[35,    21] loss: 0.000
[35,    26] loss: 0.001
[35,    31] loss: 0.197
[35,    36] loss: 0.010
[35,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[36,     1] loss: 0.001
[36,     6] loss: 0.009
[36,    11] loss: 0.008
[36,    16] loss: 0.001
[36,    21] loss: 0.001
[36,    26] loss: 0.006
[36,    31] loss: 0.007
[36,    36] loss: 0.020
[36,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[37,     1] loss: 0.008
[37,     6] loss: 0.011
[37,    11] loss: 0.000
[37,    16] loss: 0.000
[37,    21] loss: 0.000
[37,    26] loss: 0.009
[37,    31] loss: 0.001
[37,    36] loss: 0.015
[37,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[38,     1] loss: 0.000
[38,     6] loss: 0.000
[38,    11] loss: 0.005
[38,    16] loss: 0.009
[38,    21] loss: 0.001
[38,    26] loss: 0.003
[38,    31] loss: 0.000
[38,    36] loss: 0.178
[38,    41] loss: 0.008
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[39,     1] loss: 0.001
[39,     6] loss: 0.001
[39,    11] loss: 0.001
[39,    16] loss: 0.002
[39,    21] loss: 0.014
[39,    26] loss: 0.000
[39,    31] loss: 0.000
[39,    36] loss: 0.000
[39,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[40,     1] loss: 0.001
[40,     6] loss: 0.005
[40,    11] loss: 0.001
[40,    16] loss: 0.008
[40,    21] loss: 0.001
[40,    26] loss: 0.004
[40,    31] loss: 0.001
[40,    36] loss: 0.190
[40,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[41,     1] loss: 0.005
[41,     6] loss: 0.000
[41,    11] loss: 0.000
[41,    16] loss: 0.008
[41,    21] loss: 0.001
[41,    26] loss: 0.006
[41,    31] loss: 0.000
[41,    36] loss: 0.000
[41,    41] loss: 0.006
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[42,     1] loss: 0.006
[42,     6] loss: 0.001
[42,    11] loss: 0.001
[42,    16] loss: 0.002
[42,    21] loss: 0.009
[42,    26] loss: 0.001
[42,    31] loss: 0.000
[42,    36] loss: 0.001
[42,    41] loss: 0.006
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[43,     1] loss: 0.001
[43,     6] loss: 0.001
[43,    11] loss: 0.000
[43,    16] loss: 0.000
[43,    21] loss: 0.006
[43,    26] loss: 0.000
[43,    31] loss: 0.001
[43,    36] loss: 0.010
[43,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[44,     1] loss: 0.001
[44,     6] loss: 0.006
[44,    11] loss: 0.010
[44,    16] loss: 0.000
[44,    21] loss: 0.000
[44,    26] loss: 0.000
[44,    31] loss: 0.000
[44,    36] loss: 0.181
[44,    41] loss: 0.007
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[45,     1] loss: 0.001
[45,     6] loss: 0.000
[45,    11] loss: 0.000
[45,    16] loss: 0.000
[45,    21] loss: 0.000
[45,    26] loss: 0.007
[45,    31] loss: 0.001
[45,    36] loss: 0.001
[45,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[46,     1] loss: 0.000
[46,     6] loss: 0.001
[46,    11] loss: 0.005
[46,    16] loss: 0.001
[46,    21] loss: 0.001
[46,    26] loss: 0.000
[46,    31] loss: 0.001
[46,    36] loss: 0.000
[46,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[47,     1] loss: 0.001
[47,     6] loss: 0.001
[47,    11] loss: 0.000
[47,    16] loss: 0.009
[47,    21] loss: 0.002
[47,    26] loss: 0.001
[47,    31] loss: 0.000
[47,    36] loss: 0.000
[47,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[48,     1] loss: 0.000
[48,     6] loss: 0.000
[48,    11] loss: 0.001
[48,    16] loss: 0.004
[48,    21] loss: 0.015
[48,    26] loss: 0.001
[48,    31] loss: 0.001
[48,    36] loss: 0.000
[48,    41] loss: 0.001
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[49,     1] loss: 0.007
[49,     6] loss: 0.000
[49,    11] loss: 0.015
[49,    16] loss: 0.001
[49,    21] loss: 0.001
[49,    26] loss: 0.000
[49,    31] loss: 0.000
[49,    36] loss: 0.005
[49,    41] loss: 0.002
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[50,     1] loss: 0.005
[50,     6] loss: 0.009
[50,    11] loss: 0.007
[50,    16] loss: 0.001
[50,    21] loss: 0.000
[50,    26] loss: 0.000
[50,    31] loss: 0.001
[50,    36] loss: 0.000
[50,    41] loss: 0.004
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[51,     1] loss: 0.002
[51,     6] loss: 0.000
[51,    11] loss: 0.001
[51,    16] loss: 0.001
[51,    21] loss: 0.004
[51,    26] loss: 0.004
[51,    31] loss: 0.004
[51,    36] loss: 0.000
[51,    41] loss: 0.017
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[52,     1] loss: 0.006
[52,     6] loss: 0.003
[52,    11] loss: 0.000
[52,    16] loss: 0.000
[52,    21] loss: 0.001
[52,    26] loss: 0.001
[52,    31] loss: 0.000
[52,    36] loss: 0.006
[52,    41] loss: 0.001
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[53,     1] loss: 0.006
[53,     6] loss: 0.000
[53,    11] loss: 0.000
[53,    16] loss: 0.000
[53,    21] loss: 0.000
[53,    26] loss: 0.000
[53,    31] loss: 0.004
[53,    36] loss: 0.000
[53,    41] loss: 0.003
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[54,     1] loss: 0.020
[54,     6] loss: 0.002
[54,    11] loss: 0.006
[54,    16] loss: 0.020
[54,    21] loss: 0.008
[54,    26] loss: 0.007
[54,    31] loss: 0.013
[54,    36] loss: 0.000
[54,    41] loss: 0.001
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[55,     1] loss: 0.000
[55,     6] loss: 0.001
[55,    11] loss: 0.001
[55,    16] loss: 0.000
[55,    21] loss: 0.004
[55,    26] loss: 0.008
[55,    31] loss: 0.000
[55,    36] loss: 0.000
[55,    41] loss: 0.003
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[56,     1] loss: 0.000
[56,     6] loss: 0.001
[56,    11] loss: 0.001
[56,    16] loss: 0.010
[56,    21] loss: 0.005
[56,    26] loss: 0.010
[56,    31] loss: 0.007
[56,    36] loss: 0.000
[56,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[57,     1] loss: 0.000
[57,     6] loss: 0.000
[57,    11] loss: 0.000
[57,    16] loss: 0.010
[57,    21] loss: 0.001
[57,    26] loss: 0.000
[57,    31] loss: 0.002
[57,    36] loss: 0.000
[57,    41] loss: 0.006
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[58,     1] loss: 0.010
[58,     6] loss: 0.005
[58,    11] loss: 0.001
[58,    16] loss: 0.169
[58,    21] loss: 0.001
[58,    26] loss: 0.001
[58,    31] loss: 0.000
[58,    36] loss: 0.002
[58,    41] loss: 0.000
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[59,     1] loss: 0.005
[59,     6] loss: 0.017
[59,    11] loss: 0.008
[59,    16] loss: 0.000
[59,    21] loss: 0.006
[59,    26] loss: 0.002
[59,    31] loss: 0.005
[59,    36] loss: 0.000
[59,    41] loss: 0.002
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[60,     1] loss: 0.000
[60,     6] loss: 0.001
[60,    11] loss: 0.000
[60,    16] loss: 0.004
[60,    21] loss: 0.071
[60,    26] loss: 0.004
[60,    31] loss: 0.001
[60,    36] loss: 0.001
[60,    41] loss: 0.001
[[281   1]
 [  0  13]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_target_below
953
29
CONCEPT SAMPLE COUNT concept_target_below 29 953
687 295
[1,     1] loss: 0.683
[1,     6] loss: 7.984
[1,    11] loss: 0.226
[1,    16] loss: 0.248
[1,    21] loss: 0.057
[1,    26] loss: 0.013
[1,    31] loss: 0.215
[1,    36] loss: 0.008
[1,    41] loss: 0.067
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[2,     1] loss: 0.055
[2,     6] loss: 0.100
[2,    11] loss: 0.074
[2,    16] loss: 0.328
[2,    21] loss: 0.118
[2,    26] loss: 0.005
[2,    31] loss: 0.050
[2,    36] loss: 0.019
[2,    41] loss: 0.003
[[289   0]
 [  2   4]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[3,     1] loss: 0.128
[3,     6] loss: 0.001
[3,    11] loss: 0.019
[3,    16] loss: 0.003
[3,    21] loss: 0.001
[3,    26] loss: 0.040
[3,    31] loss: 0.014
[3,    36] loss: 0.016
[3,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.001
[4,     6] loss: 0.002
[4,    11] loss: 0.000
[4,    16] loss: 0.000
[4,    21] loss: 0.004
[4,    26] loss: 0.003
[4,    31] loss: 0.002
[4,    36] loss: 0.397
[4,    41] loss: 0.064
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.002
[5,     6] loss: 0.001
[5,    11] loss: 0.001
[5,    16] loss: 0.001
[5,    21] loss: 0.000
[5,    26] loss: 0.001
[5,    31] loss: 0.027
[5,    36] loss: 0.001
[5,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.003
[6,     6] loss: 0.000
[6,    11] loss: 0.005
[6,    16] loss: 0.000
[6,    21] loss: 0.002
[6,    26] loss: 0.000
[6,    31] loss: 0.007
[6,    36] loss: 0.004
[6,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.000
[7,     6] loss: 0.003
[7,    11] loss: 0.005
[7,    16] loss: 0.000
[7,    21] loss: 0.005
[7,    26] loss: 0.000
[7,    31] loss: 0.002
[7,    36] loss: 0.000
[7,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.000
[8,     6] loss: 0.004
[8,    11] loss: 0.001
[8,    16] loss: 0.000
[8,    21] loss: 0.000
[8,    26] loss: 0.001
[8,    31] loss: 0.000
[8,    36] loss: 0.000
[8,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.002
[9,     6] loss: 0.002
[9,    11] loss: 0.000
[9,    16] loss: 0.001
[9,    21] loss: 0.001
[9,    26] loss: 0.001
[9,    31] loss: 0.001
[9,    36] loss: 0.001
[9,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.000
[10,     6] loss: 0.001
[10,    11] loss: 0.644
[10,    16] loss: 0.001
[10,    21] loss: 0.013
[10,    26] loss: 0.001
[10,    31] loss: 0.000
[10,    36] loss: 0.000
[10,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.000
[11,     6] loss: 0.004
[11,    11] loss: 0.000
[11,    16] loss: 0.000
[11,    21] loss: 0.002
[11,    26] loss: 0.001
[11,    31] loss: 0.000
[11,    36] loss: 0.003
[11,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.000
[12,     6] loss: 0.002
[12,    11] loss: 0.000
[12,    16] loss: 0.001
[12,    21] loss: 0.000
[12,    26] loss: 0.000
[12,    31] loss: 0.000
[12,    36] loss: 0.000
[12,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.000
[13,     6] loss: 0.001
[13,    11] loss: 0.000
[13,    16] loss: 0.002
[13,    21] loss: 0.000
[13,    26] loss: 0.002
[13,    31] loss: 0.001
[13,    36] loss: 0.001
[13,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.002
[14,     6] loss: 0.000
[14,    11] loss: 0.000
[14,    16] loss: 0.001
[14,    21] loss: 0.000
[14,    26] loss: 0.001
[14,    31] loss: 0.001
[14,    36] loss: 0.001
[14,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.000
[15,     6] loss: 0.003
[15,    11] loss: 0.000
[15,    16] loss: 0.000
[15,    21] loss: 0.002
[15,    26] loss: 0.002
[15,    31] loss: 0.003
[15,    36] loss: 0.000
[15,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.003
[16,     6] loss: 0.000
[16,    11] loss: 0.000
[16,    16] loss: 0.000
[16,    21] loss: 0.001
[16,    26] loss: 0.000
[16,    31] loss: 0.001
[16,    36] loss: 0.002
[16,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.002
[17,     6] loss: 0.001
[17,    11] loss: 0.001
[17,    16] loss: 0.000
[17,    21] loss: 0.004
[17,    26] loss: 0.001
[17,    31] loss: 0.000
[17,    36] loss: 0.001
[17,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.001
[18,     6] loss: 0.001
[18,    11] loss: 0.001
[18,    16] loss: 0.001
[18,    21] loss: 0.000
[18,    26] loss: 0.000
[18,    31] loss: 0.000
[18,    36] loss: 0.009
[18,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.000
[19,     6] loss: 0.000
[19,    11] loss: 0.002
[19,    16] loss: 0.002
[19,    21] loss: 0.000
[19,    26] loss: 0.001
[19,    31] loss: 0.000
[19,    36] loss: 0.001
[19,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.002
[20,     6] loss: 0.000
[20,    11] loss: 0.000
[20,    16] loss: 0.000
[20,    21] loss: 0.005
[20,    26] loss: 0.007
[20,    31] loss: 1.173
[20,    36] loss: 0.019
[20,    41] loss: 0.025
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.005
[21,     6] loss: 0.006
[21,    11] loss: 0.002
[21,    16] loss: 0.003
[21,    21] loss: 0.004
[21,    26] loss: 0.003
[21,    31] loss: 0.003
[21,    36] loss: 0.001
[21,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.002
[22,     6] loss: 0.002
[22,    11] loss: 0.002
[22,    16] loss: 0.002
[22,    21] loss: 0.000
[22,    26] loss: 0.001
[22,    31] loss: 0.002
[22,    36] loss: 0.001
[22,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.001
[23,     6] loss: 0.002
[23,    11] loss: 0.001
[23,    16] loss: 0.002
[23,    21] loss: 0.000
[23,    26] loss: 0.002
[23,    31] loss: 0.000
[23,    36] loss: 0.001
[23,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.001
[24,     6] loss: 0.001
[24,    11] loss: 0.001
[24,    16] loss: 0.001
[24,    21] loss: 0.001
[24,    26] loss: 0.001
[24,    31] loss: 0.001
[24,    36] loss: 0.000
[24,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.000
[25,     6] loss: 0.001
[25,    11] loss: 0.000
[25,    16] loss: 0.001
[25,    21] loss: 0.000
[25,    26] loss: 0.001
[25,    31] loss: 0.001
[25,    36] loss: 0.000
[25,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.000
[26,     6] loss: 0.000
[26,    11] loss: 0.000
[26,    16] loss: 0.000
[26,    21] loss: 0.002
[26,    26] loss: 0.000
[26,    31] loss: 0.002
[26,    36] loss: 0.000
[26,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.002
[27,     6] loss: 0.000
[27,    11] loss: 0.000
[27,    16] loss: 0.000
[27,    21] loss: 0.000
[27,    26] loss: 0.001
[27,    31] loss: 0.001
[27,    36] loss: 0.000
[27,    41] loss: 0.003
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.001
[28,     6] loss: 0.001
[28,    11] loss: 0.000
[28,    16] loss: 0.003
[28,    21] loss: 0.000
[28,    26] loss: 0.001
[28,    31] loss: 0.000
[28,    36] loss: 0.001
[28,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.000
[29,     6] loss: 0.000
[29,    11] loss: 0.000
[29,    16] loss: 0.001
[29,    21] loss: 0.001
[29,    26] loss: 0.004
[29,    31] loss: 0.002
[29,    36] loss: 0.001
[29,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.001
[30,     6] loss: 0.001
[30,    11] loss: 0.001
[30,    16] loss: 0.000
[30,    21] loss: 0.003
[30,    26] loss: 0.005
[30,    31] loss: 0.000
[30,    36] loss: 0.002
[30,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.000
[31,     6] loss: 0.001
[31,    11] loss: 0.000
[31,    16] loss: 0.001
[31,    21] loss: 0.003
[31,    26] loss: 0.000
[31,    31] loss: 0.001
[31,    36] loss: 0.001
[31,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.000
[32,     6] loss: 0.000
[32,    11] loss: 0.002
[32,    16] loss: 0.254
[32,    21] loss: 0.305
[32,    26] loss: 0.016
[32,    31] loss: 0.005
[32,    36] loss: 0.006
[32,    41] loss: 0.028
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.002
[33,     6] loss: 0.009
[33,    11] loss: 0.002
[33,    16] loss: 0.001
[33,    21] loss: 0.011
[33,    26] loss: 0.001
[33,    31] loss: 0.006
[33,    36] loss: 0.003
[33,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.005
[34,     6] loss: 0.003
[34,    11] loss: 0.001
[34,    16] loss: 0.000
[34,    21] loss: 0.004
[34,    26] loss: 0.002
[34,    31] loss: 0.000
[34,    36] loss: 0.001
[34,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.000
[35,     6] loss: 0.000
[35,    11] loss: 0.003
[35,    16] loss: 0.003
[35,    21] loss: 0.001
[35,    26] loss: 0.001
[35,    31] loss: 0.001
[35,    36] loss: 0.003
[35,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.002
[36,     6] loss: 0.002
[36,    11] loss: 0.000
[36,    16] loss: 0.000
[36,    21] loss: 0.001
[36,    26] loss: 0.002
[36,    31] loss: 0.001
[36,    36] loss: 0.003
[36,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.002
[37,     6] loss: 0.000
[37,    11] loss: 0.002
[37,    16] loss: 0.000
[37,    21] loss: 0.000
[37,    26] loss: 0.001
[37,    31] loss: 0.001
[37,    36] loss: 0.001
[37,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.000
[38,     6] loss: 0.000
[38,    11] loss: 0.000
[38,    16] loss: 0.000
[38,    21] loss: 0.001
[38,    26] loss: 0.001
[38,    31] loss: 0.001
[38,    36] loss: 0.000
[38,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.000
[39,     6] loss: 0.000
[39,    11] loss: 0.000
[39,    16] loss: 0.000
[39,    21] loss: 0.000
[39,    26] loss: 0.001
[39,    31] loss: 0.001
[39,    36] loss: 0.000
[39,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.001
[40,     6] loss: 0.000
[40,    11] loss: 0.001
[40,    16] loss: 0.001
[40,    21] loss: 0.001
[40,    26] loss: 0.000
[40,    31] loss: 0.002
[40,    36] loss: 0.000
[40,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.000
[41,     6] loss: 0.001
[41,    11] loss: 0.001
[41,    16] loss: 0.000
[41,    21] loss: 0.000
[41,    26] loss: 0.001
[41,    31] loss: 0.000
[41,    36] loss: 0.001
[41,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.001
[42,     6] loss: 0.001
[42,    11] loss: 0.000
[42,    16] loss: 0.001
[42,    21] loss: 0.001
[42,    26] loss: 0.001
[42,    31] loss: 0.000
[42,    36] loss: 0.001
[42,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.004
[43,     6] loss: 0.000
[43,    11] loss: 0.002
[43,    16] loss: 0.002
[43,    21] loss: 0.001
[43,    26] loss: 0.000
[43,    31] loss: 0.000
[43,    36] loss: 0.000
[43,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.001
[44,     6] loss: 0.000
[44,    11] loss: 0.001
[44,    16] loss: 0.000
[44,    21] loss: 0.003
[44,    26] loss: 0.001
[44,    31] loss: 0.001
[44,    36] loss: 0.001
[44,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.000
[45,     6] loss: 0.000
[45,    11] loss: 0.000
[45,    16] loss: 0.000
[45,    21] loss: 0.000
[45,    26] loss: 0.002
[45,    31] loss: 0.001
[45,    36] loss: 0.001
[45,    41] loss: 0.003
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.001
[46,     6] loss: 0.001
[46,    11] loss: 0.001
[46,    16] loss: 0.000
[46,    21] loss: 0.000
[46,    26] loss: 0.001
[46,    31] loss: 0.000
[46,    36] loss: 0.001
[46,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.000
[47,     6] loss: 0.000
[47,    11] loss: 0.001
[47,    16] loss: 0.001
[47,    21] loss: 0.001
[47,    26] loss: 0.001
[47,    31] loss: 0.001
[47,    36] loss: 0.000
[47,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.000
[48,     6] loss: 0.002
[48,    11] loss: 0.000
[48,    16] loss: 0.000
[48,    21] loss: 0.004
[48,    26] loss: 0.002
[48,    31] loss: 0.001
[48,    36] loss: 0.001
[48,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.000
[49,     6] loss: 0.000
[49,    11] loss: 0.001
[49,    16] loss: 0.001
[49,    21] loss: 0.000
[49,    26] loss: 0.000
[49,    31] loss: 0.001
[49,    36] loss: 0.000
[49,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.002
[50,     6] loss: 0.000
[50,    11] loss: 0.000
[50,    16] loss: 0.003
[50,    21] loss: 0.001
[50,    26] loss: 0.001
[50,    31] loss: 0.000
[50,    36] loss: 0.000
[50,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.002
[51,     6] loss: 0.001
[51,    11] loss: 0.002
[51,    16] loss: 0.000
[51,    21] loss: 0.001
[51,    26] loss: 0.000
[51,    31] loss: 0.000
[51,    36] loss: 0.002
[51,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.000
[52,     6] loss: 0.001
[52,    11] loss: 0.000
[52,    16] loss: 0.001
[52,    21] loss: 0.002
[52,    26] loss: 0.000
[52,    31] loss: 0.001
[52,    36] loss: 0.000
[52,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.000
[53,     6] loss: 0.000
[53,    11] loss: 0.001
[53,    16] loss: 0.001
[53,    21] loss: 0.003
[53,    26] loss: 0.001
[53,    31] loss: 0.000
[53,    36] loss: 0.000
[53,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.000
[54,     6] loss: 0.000
[54,    11] loss: 0.002
[54,    16] loss: 0.001
[54,    21] loss: 0.001
[54,    26] loss: 0.000
[54,    31] loss: 0.000
[54,    36] loss: 0.000
[54,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.001
[55,     6] loss: 0.001
[55,    11] loss: 0.002
[55,    16] loss: 0.002
[55,    21] loss: 0.000
[55,    26] loss: 0.000
[55,    31] loss: 0.001
[55,    36] loss: 0.002
[55,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.000
[56,     6] loss: 0.001
[56,    11] loss: 0.001
[56,    16] loss: 0.001
[56,    21] loss: 0.001
[56,    26] loss: 0.000
[56,    31] loss: 0.000
[56,    36] loss: 0.001
[56,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.001
[57,     6] loss: 0.003
[57,    11] loss: 0.000
[57,    16] loss: 0.000
[57,    21] loss: 0.000
[57,    26] loss: 0.002
[57,    31] loss: 0.000
[57,    36] loss: 0.002
[57,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.000
[58,     6] loss: 0.001
[58,    11] loss: 0.001
[58,    16] loss: 0.002
[58,    21] loss: 0.001
[58,    26] loss: 0.000
[58,    31] loss: 0.001
[58,    36] loss: 0.001
[58,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.001
[59,     6] loss: 0.001
[59,    11] loss: 0.000
[59,    16] loss: 0.001
[59,    21] loss: 0.001
[59,    26] loss: 0.000
[59,    31] loss: 0.000
[59,    36] loss: 0.001
[59,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.000
[60,     6] loss: 0.001
[60,    11] loss: 0.000
[60,    16] loss: 0.000
[60,    21] loss: 0.001
[60,    26] loss: 0.000
[60,    31] loss: 0.000
[60,    36] loss: 0.000
[60,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_target_left
955
27
CONCEPT SAMPLE COUNT concept_target_left 27 955
687 295
[1,     1] loss: 0.874
[1,     6] loss: 0.644
[1,    11] loss: 0.001
[1,    16] loss: 0.030
[1,    21] loss: 0.051
[1,    26] loss: 0.017
[1,    31] loss: 0.112
[1,    36] loss: 0.285
[1,    41] loss: 0.272
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[2,     1] loss: 0.185
[2,     6] loss: 0.010
[2,    11] loss: 0.066
[2,    16] loss: 0.004
[2,    21] loss: 0.228
[2,    26] loss: 0.049
[2,    31] loss: 0.068
[2,    36] loss: 0.019
[2,    41] loss: 0.019
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[3,     1] loss: 0.176
[3,     6] loss: 0.016
[3,    11] loss: 0.005
[3,    16] loss: 0.248
[3,    21] loss: 0.082
[3,    26] loss: 0.036
[3,    31] loss: 0.025
[3,    36] loss: 0.060
[3,    41] loss: 0.268
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[4,     1] loss: 0.254
[4,     6] loss: 0.004
[4,    11] loss: 0.217
[4,    16] loss: 0.014
[4,    21] loss: 0.330
[4,    26] loss: 0.052
[4,    31] loss: 0.009
[4,    36] loss: 0.013
[4,    41] loss: 0.061
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[5,     1] loss: 0.167
[5,     6] loss: 0.003
[5,    11] loss: 0.001
[5,    16] loss: 0.010
[5,    21] loss: 0.092
[5,    26] loss: 0.061
[5,    31] loss: 0.007
[5,    36] loss: 0.014
[5,    41] loss: 0.003
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[6,     1] loss: 0.005
[6,     6] loss: 0.053
[6,    11] loss: 0.001
[6,    16] loss: 0.049
[6,    21] loss: 0.004
[6,    26] loss: 0.049
[6,    31] loss: 0.001
[6,    36] loss: 0.001
[6,    41] loss: 0.002
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[7,     1] loss: 0.048
[7,     6] loss: 0.001
[7,    11] loss: 0.002
[7,    16] loss: 0.097
[7,    21] loss: 0.000
[7,    26] loss: 0.001
[7,    31] loss: 0.002
[7,    36] loss: 0.001
[7,    41] loss: 0.000
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[8,     1] loss: 0.005
[8,     6] loss: 0.001
[8,    11] loss: 0.048
[8,    16] loss: 0.140
[8,    21] loss: 0.048
[8,    26] loss: 0.093
[8,    31] loss: 0.001
[8,    36] loss: 0.047
[8,    41] loss: 0.047
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[9,     1] loss: 0.000
[9,     6] loss: 0.046
[9,    11] loss: 0.092
[9,    16] loss: 0.047
[9,    21] loss: 0.001
[9,    26] loss: 0.047
[9,    31] loss: 0.000
[9,    36] loss: 0.001
[9,    41] loss: 0.046
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[10,     1] loss: 0.001
[10,     6] loss: 0.000
[10,    11] loss: 0.046
[10,    16] loss: 0.001
[10,    21] loss: 0.047
[10,    26] loss: 0.136
[10,    31] loss: 0.001
[10,    36] loss: 0.001
[10,    41] loss: 0.001
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[11,     1] loss: 0.046
[11,     6] loss: 0.003
[11,    11] loss: 0.001
[11,    16] loss: 0.001
[11,    21] loss: 0.046
[11,    26] loss: 0.046
[11,    31] loss: 0.050
[11,    36] loss: 0.001
[11,    41] loss: 0.093
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[12,     1] loss: 0.047
[12,     6] loss: 0.000
[12,    11] loss: 0.001
[12,    16] loss: 0.001
[12,    21] loss: 0.051
[12,    26] loss: 0.002
[12,    31] loss: 0.002
[12,    36] loss: 0.000
[12,    41] loss: 0.002
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[13,     1] loss: 0.001
[13,     6] loss: 0.001
[13,    11] loss: 0.001
[13,    16] loss: 0.000
[13,    21] loss: 0.089
[13,    26] loss: 0.045
[13,    31] loss: 0.000
[13,    36] loss: 0.046
[13,    41] loss: 0.001
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[14,     1] loss: 0.000
[14,     6] loss: 0.045
[14,    11] loss: 0.000
[14,    16] loss: 0.044
[14,    21] loss: 0.001
[14,    26] loss: 0.000
[14,    31] loss: 0.001
[14,    36] loss: 0.089
[14,    41] loss: 0.045
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[15,     1] loss: 0.001
[15,     6] loss: 0.090
[15,    11] loss: 0.000
[15,    16] loss: 0.045
[15,    21] loss: 0.045
[15,    26] loss: 0.045
[15,    31] loss: 0.000
[15,    36] loss: 0.000
[15,    41] loss: 0.000
[[289   0]
 [  6   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[16,     1] loss: 0.046
[16,     6] loss: 0.001
[16,    11] loss: 0.001
[16,    16] loss: 0.046
[16,    21] loss: 0.002
[16,    26] loss: 0.036
[16,    31] loss: 0.000
[16,    36] loss: 0.000
[16,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.004
[17,     6] loss: 0.000
[17,    11] loss: 0.000
[17,    16] loss: 0.000
[17,    21] loss: 0.001
[17,    26] loss: 0.002
[17,    31] loss: 0.003
[17,    36] loss: 0.001
[17,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.001
[18,     6] loss: 0.004
[18,    11] loss: 0.002
[18,    16] loss: 0.000
[18,    21] loss: 0.002
[18,    26] loss: 0.001
[18,    31] loss: 0.003
[18,    36] loss: 0.156
[18,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.000
[19,     6] loss: 0.010
[19,    11] loss: 0.000
[19,    16] loss: 0.006
[19,    21] loss: 0.000
[19,    26] loss: 0.000
[19,    31] loss: 0.000
[19,    36] loss: 0.000
[19,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.004
[20,     6] loss: 0.000
[20,    11] loss: 0.002
[20,    16] loss: 0.001
[20,    21] loss: 0.000
[20,    26] loss: 0.001
[20,    31] loss: 0.000
[20,    36] loss: 0.000
[20,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.001
[21,     6] loss: 0.002
[21,    11] loss: 0.003
[21,    16] loss: 0.001
[21,    21] loss: 0.000
[21,    26] loss: 0.000
[21,    31] loss: 0.002
[21,    36] loss: 0.000
[21,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.001
[22,     6] loss: 0.001
[22,    11] loss: 0.002
[22,    16] loss: 0.000
[22,    21] loss: 0.001
[22,    26] loss: 0.000
[22,    31] loss: 0.001
[22,    36] loss: 0.001
[22,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.001
[23,     6] loss: 0.001
[23,    11] loss: 0.000
[23,    16] loss: 0.000
[23,    21] loss: 0.002
[23,    26] loss: 0.000
[23,    31] loss: 0.004
[23,    36] loss: 0.001
[23,    41] loss: 0.000
[[289   0]
 [  3   3]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[24,     1] loss: 0.000
[24,     6] loss: 0.007
[24,    11] loss: 0.000
[24,    16] loss: 0.000
[24,    21] loss: 0.001
[24,    26] loss: 0.000
[24,    31] loss: 0.002
[24,    36] loss: 0.001
[24,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.001
[25,     6] loss: 0.000
[25,    11] loss: 0.002
[25,    16] loss: 0.000
[25,    21] loss: 0.000
[25,    26] loss: 0.000
[25,    31] loss: 0.000
[25,    36] loss: 0.000
[25,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.000
[26,     6] loss: 0.000
[26,    11] loss: 0.001
[26,    16] loss: 0.000
[26,    21] loss: 0.000
[26,    26] loss: 0.000
[26,    31] loss: 0.000
[26,    36] loss: 0.000
[26,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.000
[27,     6] loss: 0.000
[27,    11] loss: 0.002
[27,    16] loss: 0.000
[27,    21] loss: 0.000
[27,    26] loss: 0.000
[27,    31] loss: 0.001
[27,    36] loss: 0.002
[27,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.000
[28,     6] loss: 0.000
[28,    11] loss: 0.000
[28,    16] loss: 0.000
[28,    21] loss: 0.003
[28,    26] loss: 0.001
[28,    31] loss: 0.001
[28,    36] loss: 0.000
[28,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.004
[29,     6] loss: 0.000
[29,    11] loss: 0.001
[29,    16] loss: 0.002
[29,    21] loss: 0.002
[29,    26] loss: 0.000
[29,    31] loss: 0.000
[29,    36] loss: 0.002
[29,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.000
[30,     6] loss: 0.002
[30,    11] loss: 0.000
[30,    16] loss: 0.006
[30,    21] loss: 0.000
[30,    26] loss: 0.000
[30,    31] loss: 0.000
[30,    36] loss: 0.002
[30,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.000
[31,     6] loss: 0.001
[31,    11] loss: 0.002
[31,    16] loss: 0.000
[31,    21] loss: 0.001
[31,    26] loss: 0.001
[31,    31] loss: 0.000
[31,    36] loss: 0.000
[31,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.000
[32,     6] loss: 0.003
[32,    11] loss: 0.000
[32,    16] loss: 0.002
[32,    21] loss: 0.001
[32,    26] loss: 0.001
[32,    31] loss: 0.003
[32,    36] loss: 0.001
[32,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.001
[33,     6] loss: 0.001
[33,    11] loss: 0.000
[33,    16] loss: 0.000
[33,    21] loss: 0.001
[33,    26] loss: 0.002
[33,    31] loss: 0.002
[33,    36] loss: 0.001
[33,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.000
[34,     6] loss: 0.003
[34,    11] loss: 0.000
[34,    16] loss: 0.001
[34,    21] loss: 0.000
[34,    26] loss: 0.000
[34,    31] loss: 0.002
[34,    36] loss: 0.004
[34,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.000
[35,     6] loss: 0.003
[35,    11] loss: 0.000
[35,    16] loss: 0.001
[35,    21] loss: 0.000
[35,    26] loss: 0.000
[35,    31] loss: 0.001
[35,    36] loss: 0.002
[35,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.001
[36,     6] loss: 0.003
[36,    11] loss: 0.001
[36,    16] loss: 0.002
[36,    21] loss: 0.000
[36,    26] loss: 0.001
[36,    31] loss: 0.000
[36,    36] loss: 0.000
[36,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.001
[37,     6] loss: 0.001
[37,    11] loss: 0.000
[37,    16] loss: 0.002
[37,    21] loss: 0.001
[37,    26] loss: 0.000
[37,    31] loss: 0.001
[37,    36] loss: 0.000
[37,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.001
[38,     6] loss: 0.002
[38,    11] loss: 0.001
[38,    16] loss: 0.001
[38,    21] loss: 0.001
[38,    26] loss: 0.000
[38,    31] loss: 0.000
[38,    36] loss: 0.001
[38,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.000
[39,     6] loss: 0.001
[39,    11] loss: 0.003
[39,    16] loss: 0.001
[39,    21] loss: 0.000
[39,    26] loss: 0.002
[39,    31] loss: 0.001
[39,    36] loss: 0.004
[39,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.001
[40,     6] loss: 0.000
[40,    11] loss: 0.000
[40,    16] loss: 0.000
[40,    21] loss: 0.000
[40,    26] loss: 0.002
[40,    31] loss: 0.002
[40,    36] loss: 0.001
[40,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.000
[41,     6] loss: 0.000
[41,    11] loss: 0.002
[41,    16] loss: 0.001
[41,    21] loss: 0.053
[41,    26] loss: 0.000
[41,    31] loss: 0.010
[41,    36] loss: 0.000
[41,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.008
[42,     6] loss: 0.000
[42,    11] loss: 0.003
[42,    16] loss: 0.000
[42,    21] loss: 0.003
[42,    26] loss: 0.000
[42,    31] loss: 0.000
[42,    36] loss: 0.000
[42,    41] loss: 0.003
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.000
[43,     6] loss: 0.000
[43,    11] loss: 0.000
[43,    16] loss: 0.002
[43,    21] loss: 0.000
[43,    26] loss: 0.000
[43,    31] loss: 0.000
[43,    36] loss: 0.002
[43,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.000
[44,     6] loss: 0.002
[44,    11] loss: 0.000
[44,    16] loss: 0.011
[44,    21] loss: 0.000
[44,    26] loss: 0.001
[44,    31] loss: 0.000
[44,    36] loss: 0.000
[44,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.000
[45,     6] loss: 0.000
[45,    11] loss: 0.001
[45,    16] loss: 0.000
[45,    21] loss: 0.001
[45,    26] loss: 0.000
[45,    31] loss: 0.000
[45,    36] loss: 0.001
[45,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.001
[46,     6] loss: 0.000
[46,    11] loss: 0.004
[46,    16] loss: 0.001
[46,    21] loss: 0.002
[46,    26] loss: 0.000
[46,    31] loss: 0.001
[46,    36] loss: 0.001
[46,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.003
[47,     6] loss: 0.000
[47,    11] loss: 0.001
[47,    16] loss: 0.000
[47,    21] loss: 0.001
[47,    26] loss: 0.001
[47,    31] loss: 0.001
[47,    36] loss: 0.001
[47,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.000
[48,     6] loss: 0.001
[48,    11] loss: 0.000
[48,    16] loss: 0.000
[48,    21] loss: 0.001
[48,    26] loss: 0.000
[48,    31] loss: 0.000
[48,    36] loss: 0.001
[48,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.000
[49,     6] loss: 0.000
[49,    11] loss: 0.001
[49,    16] loss: 0.001
[49,    21] loss: 0.002
[49,    26] loss: 0.005
[49,    31] loss: 0.000
[49,    36] loss: 0.000
[49,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.000
[50,     6] loss: 0.001
[50,    11] loss: 0.001
[50,    16] loss: 0.002
[50,    21] loss: 0.001
[50,    26] loss: 0.000
[50,    31] loss: 0.001
[50,    36] loss: 0.002
[50,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.003
[51,     6] loss: 0.001
[51,    11] loss: 0.000
[51,    16] loss: 0.001
[51,    21] loss: 0.000
[51,    26] loss: 0.000
[51,    31] loss: 0.000
[51,    36] loss: 0.000
[51,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.000
[52,     6] loss: 0.002
[52,    11] loss: 0.002
[52,    16] loss: 0.001
[52,    21] loss: 0.000
[52,    26] loss: 0.000
[52,    31] loss: 0.000
[52,    36] loss: 0.000
[52,    41] loss: 0.005
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.001
[53,     6] loss: 0.001
[53,    11] loss: 0.002
[53,    16] loss: 0.000
[53,    21] loss: 0.000
[53,    26] loss: 0.003
[53,    31] loss: 0.002
[53,    36] loss: 0.001
[53,    41] loss: 0.003
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.000
[54,     6] loss: 0.000
[54,    11] loss: 0.000
[54,    16] loss: 0.000
[54,    21] loss: 0.000
[54,    26] loss: 0.002
[54,    31] loss: 0.002
[54,    36] loss: 0.002
[54,    41] loss: 0.003
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.002
[55,     6] loss: 0.001
[55,    11] loss: 0.001
[55,    16] loss: 0.001
[55,    21] loss: 0.000
[55,    26] loss: 0.000
[55,    31] loss: 0.000
[55,    36] loss: 0.000
[55,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.000
[56,     6] loss: 0.001
[56,    11] loss: 0.001
[56,    16] loss: 0.003
[56,    21] loss: 0.002
[56,    26] loss: 0.000
[56,    31] loss: 0.000
[56,    36] loss: 0.000
[56,    41] loss: 0.001
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.000
[57,     6] loss: 0.000
[57,    11] loss: 0.001
[57,    16] loss: 0.002
[57,    21] loss: 0.004
[57,    26] loss: 0.001
[57,    31] loss: 0.000
[57,    36] loss: 0.000
[57,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.000
[58,     6] loss: 0.003
[58,    11] loss: 0.001
[58,    16] loss: 0.001
[58,    21] loss: 0.000
[58,    26] loss: 0.002
[58,    31] loss: 0.004
[58,    36] loss: 0.001
[58,    41] loss: 0.002
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.000
[59,     6] loss: 0.002
[59,    11] loss: 0.001
[59,    16] loss: 0.002
[59,    21] loss: 0.004
[59,    26] loss: 0.001
[59,    31] loss: 0.001
[59,    36] loss: 0.000
[59,    41] loss: 0.000
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.002
[60,     6] loss: 0.000
[60,    11] loss: 0.000
[60,    16] loss: 0.000
[60,    21] loss: 0.003
[60,    26] loss: 0.000
[60,    31] loss: 0.000
[60,    36] loss: 0.001
[60,    41] loss: 0.003
[[289   0]
 [  0   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_target_right
953
29
CONCEPT SAMPLE COUNT concept_target_right 29 953
687 295
[1,     1] loss: 0.853
[1,     6] loss: 0.373
[1,    11] loss: 0.225
[1,    16] loss: 0.011
[1,    21] loss: 0.004
[1,    26] loss: 0.058
[1,    31] loss: 0.134
[1,    36] loss: 0.021
[1,    41] loss: 0.223
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[2,     1] loss: 0.035
[2,     6] loss: 0.095
[2,    11] loss: 0.004
[2,    16] loss: 0.089
[2,    21] loss: 0.096
[2,    26] loss: 0.117
[2,    31] loss: 0.041
[2,    36] loss: 0.020
[2,    41] loss: 0.003
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[3,     1] loss: 0.002
[3,     6] loss: 0.003
[3,    11] loss: 0.002
[3,    16] loss: 0.088
[3,    21] loss: 0.056
[3,    26] loss: 0.041
[3,    31] loss: 0.064
[3,    36] loss: 0.054
[3,    41] loss: 0.037
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[4,     1] loss: 0.085
[4,     6] loss: 0.040
[4,    11] loss: 0.056
[4,    16] loss: 0.003
[4,    21] loss: 0.110
[4,    26] loss: 0.003
[4,    31] loss: 0.086
[4,    36] loss: 0.103
[4,    41] loss: 0.088
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[5,     1] loss: 0.022
[5,     6] loss: 0.001
[5,    11] loss: 0.142
[5,    16] loss: 0.000
[5,    21] loss: 0.041
[5,    26] loss: 0.058
[5,    31] loss: 0.142
[5,    36] loss: 0.060
[5,    41] loss: 0.002
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[6,     1] loss: 0.056
[6,     6] loss: 0.054
[6,    11] loss: 0.052
[6,    16] loss: 0.000
[6,    21] loss: 0.113
[6,    26] loss: 0.098
[6,    31] loss: 0.003
[6,    36] loss: 0.001
[6,    41] loss: 0.001
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.030
[7,     6] loss: 0.208
[7,    11] loss: 0.032
[7,    16] loss: 0.003
[7,    21] loss: 0.004
[7,    26] loss: 0.055
[7,    31] loss: 0.051
[7,    36] loss: 0.052
[7,    41] loss: 0.003
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[8,     1] loss: 0.001
[8,     6] loss: 0.001
[8,    11] loss: 0.154
[8,    16] loss: 0.035
[8,    21] loss: 0.026
[8,    26] loss: 0.001
[8,    31] loss: 0.036
[8,    36] loss: 0.052
[8,    41] loss: 0.182
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[9,     1] loss: 0.115
[9,     6] loss: 0.001
[9,    11] loss: 0.001
[9,    16] loss: 0.052
[9,    21] loss: 0.052
[9,    26] loss: 0.001
[9,    31] loss: 0.001
[9,    36] loss: 0.077
[9,    41] loss: 0.048
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[10,     1] loss: 0.054
[10,     6] loss: 0.001
[10,    11] loss: 0.047
[10,    16] loss: 0.045
[10,    21] loss: 0.001
[10,    26] loss: 0.008
[10,    31] loss: 0.037
[10,    36] loss: 0.004
[10,    41] loss: 0.048
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[11,     1] loss: 0.001
[11,     6] loss: 0.002
[11,    11] loss: 0.001
[11,    16] loss: 0.001
[11,    21] loss: 0.046
[11,    26] loss: 0.001
[11,    31] loss: 0.091
[11,    36] loss: 0.061
[11,    41] loss: 0.001
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[12,     1] loss: 0.046
[12,     6] loss: 0.082
[12,    11] loss: 0.001
[12,    16] loss: 0.051
[12,    21] loss: 0.001
[12,    26] loss: 0.087
[12,    31] loss: 0.006
[12,    36] loss: 0.001
[12,    41] loss: 0.050
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[13,     1] loss: 0.001
[13,     6] loss: 0.088
[13,    11] loss: 0.002
[13,    16] loss: 0.001
[13,    21] loss: 0.002
[13,    26] loss: 0.045
[13,    31] loss: 0.044
[13,    36] loss: 0.045
[13,    41] loss: 0.001
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[14,     1] loss: 0.051
[14,     6] loss: 0.001
[14,    11] loss: 0.010
[14,    16] loss: 0.001
[14,    21] loss: 0.001
[14,    26] loss: 0.001
[14,    31] loss: 0.044
[14,    36] loss: 0.044
[14,    41] loss: 0.013
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[15,     1] loss: 0.001
[15,     6] loss: 0.048
[15,    11] loss: 0.054
[15,    16] loss: 0.036
[15,    21] loss: 0.047
[15,    26] loss: 0.020
[15,    31] loss: 0.001
[15,    36] loss: 0.099
[15,    41] loss: 0.087
[[286   2]
 [  1   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[16,     1] loss: 0.050
[16,     6] loss: 0.044
[16,    11] loss: 0.015
[16,    16] loss: 0.001
[16,    21] loss: 0.160
[16,    26] loss: 0.001
[16,    31] loss: 0.044
[16,    36] loss: 0.044
[16,    41] loss: 0.055
[[288   0]
 [  5   2]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[17,     1] loss: 0.094
[17,     6] loss: 0.002
[17,    11] loss: 0.044
[17,    16] loss: 0.002
[17,    21] loss: 0.003
[17,    26] loss: 0.001
[17,    31] loss: 0.094
[17,    36] loss: 0.005
[17,    41] loss: 0.103
[[285   3]
 [  1   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[18,     1] loss: 0.001
[18,     6] loss: 0.044
[18,    11] loss: 0.023
[18,    16] loss: 0.001
[18,    21] loss: 0.001
[18,    26] loss: 0.040
[18,    31] loss: 0.001
[18,    36] loss: 0.043
[18,    41] loss: 0.043
[[286   2]
 [  1   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[19,     1] loss: 0.043
[19,     6] loss: 0.043
[19,    11] loss: 0.043
[19,    16] loss: 0.000
[19,    21] loss: 0.009
[19,    26] loss: 0.043
[19,    31] loss: 0.085
[19,    36] loss: 0.001
[19,    41] loss: 0.007
[[286   2]
 [  1   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[20,     1] loss: 0.042
[20,     6] loss: 0.043
[20,    11] loss: 0.003
[20,    16] loss: 0.042
[20,    21] loss: 0.087
[20,    26] loss: 0.046
[20,    31] loss: 0.003
[20,    36] loss: 0.091
[20,    41] loss: 0.000
[[288   0]
 [  4   3]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[21,     1] loss: 0.002
[21,     6] loss: 0.001
[21,    11] loss: 0.042
[21,    16] loss: 0.085
[21,    21] loss: 0.043
[21,    26] loss: 0.007
[21,    31] loss: 0.000
[21,    36] loss: 0.097
[21,    41] loss: 0.015
[[286   2]
 [  1   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[22,     1] loss: 0.086
[22,     6] loss: 0.000
[22,    11] loss: 0.000
[22,    16] loss: 0.001
[22,    21] loss: 0.125
[22,    26] loss: 0.046
[22,    31] loss: 0.042
[22,    36] loss: 0.000
[22,    41] loss: 0.042
[[286   2]
 [  1   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[23,     1] loss: 0.001
[23,     6] loss: 0.075
[23,    11] loss: 0.002
[23,    16] loss: 0.001
[23,    21] loss: 0.001
[23,    26] loss: 0.013
[23,    31] loss: 0.001
[23,    36] loss: 0.042
[23,    41] loss: 0.000
[[285   3]
 [  1   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[24,     1] loss: 0.042
[24,     6] loss: 0.001
[24,    11] loss: 0.048
[24,    16] loss: 0.001
[24,    21] loss: 0.083
[24,    26] loss: 0.001
[24,    31] loss: 0.001
[24,    36] loss: 0.043
[24,    41] loss: 0.001
[[286   2]
 [  1   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[25,     1] loss: 0.004
[25,     6] loss: 0.000
[25,    11] loss: 0.005
[25,    16] loss: 0.001
[25,    21] loss: 0.013
[25,    26] loss: 0.000
[25,    31] loss: 0.046
[25,    36] loss: 0.009
[25,    41] loss: 0.000
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[26,     1] loss: 0.002
[26,     6] loss: 0.074
[26,    11] loss: 0.055
[26,    16] loss: 0.042
[26,    21] loss: 0.004
[26,    26] loss: 0.042
[26,    31] loss: 0.081
[26,    36] loss: 0.001
[26,    41] loss: 0.041
[[286   2]
 [  1   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[27,     1] loss: 0.011
[27,     6] loss: 0.006
[27,    11] loss: 0.000
[27,    16] loss: 0.001
[27,    21] loss: 0.042
[27,    26] loss: 0.046
[27,    31] loss: 0.002
[27,    36] loss: 0.081
[27,    41] loss: 0.000
[[286   2]
 [  1   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[28,     1] loss: 0.000
[28,     6] loss: 0.000
[28,    11] loss: 0.000
[28,    16] loss: 0.131
[28,    21] loss: 0.042
[28,    26] loss: 0.001
[28,    31] loss: 0.081
[28,    36] loss: 0.045
[28,    41] loss: 0.000
[[286   2]
 [  1   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[29,     1] loss: 0.000
[29,     6] loss: 0.001
[29,    11] loss: 0.052
[29,    16] loss: 0.045
[29,    21] loss: 0.040
[29,    26] loss: 0.040
[29,    31] loss: 0.043
[29,    36] loss: 0.002
[29,    41] loss: 0.043
[[286   2]
 [  1   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[30,     1] loss: 0.040
[30,     6] loss: 0.002
[30,    11] loss: 0.011
[30,    16] loss: 0.021
[30,    21] loss: 0.079
[30,    26] loss: 0.040
[30,    31] loss: 0.001
[30,    36] loss: 0.001
[30,    41] loss: 0.001
[[286   2]
 [  1   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[31,     1] loss: 0.001
[31,     6] loss: 0.039
[31,    11] loss: 0.000
[31,    16] loss: 0.001
[31,    21] loss: 0.117
[31,    26] loss: 0.041
[31,    31] loss: 0.048
[31,    36] loss: 0.007
[31,    41] loss: 0.047
[[285   3]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[32,     1] loss: 0.048
[32,     6] loss: 0.001
[32,    11] loss: 0.041
[32,    16] loss: 0.001
[32,    21] loss: 0.040
[32,    26] loss: 0.000
[32,    31] loss: 0.040
[32,    36] loss: 0.001
[32,    41] loss: 0.004
[[286   2]
 [  1   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 98 %
[33,     1] loss: 0.003
[33,     6] loss: 0.002
[33,    11] loss: 0.033
[33,    16] loss: 0.050
[33,    21] loss: 0.047
[33,    26] loss: 0.077
[33,    31] loss: 0.039
[33,    36] loss: 0.000
[33,    41] loss: 0.001
[[288   0]
 [  1   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[34,     1] loss: 0.000
[34,     6] loss: 0.003
[34,    11] loss: 0.043
[34,    16] loss: 0.002
[34,    21] loss: 0.000
[34,    26] loss: 0.042
[34,    31] loss: 0.037
[34,    36] loss: 0.000
[34,    41] loss: 0.072
[[288   0]
 [  1   6]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[35,     1] loss: 0.034
[35,     6] loss: 0.069
[35,    11] loss: 0.000
[35,    16] loss: 0.000
[35,    21] loss: 0.072
[35,    26] loss: 0.030
[35,    31] loss: 0.004
[35,    36] loss: 0.000
[35,    41] loss: 0.033
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.027
[36,     6] loss: 0.001
[36,    11] loss: 0.648
[36,    16] loss: 0.003
[36,    21] loss: 0.005
[36,    26] loss: 0.132
[36,    31] loss: 0.132
[36,    36] loss: 0.002
[36,    41] loss: 0.002
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[37,     1] loss: 0.001
[37,     6] loss: 0.001
[37,    11] loss: 0.001
[37,    16] loss: 0.000
[37,    21] loss: 0.000
[37,    26] loss: 0.008
[37,    31] loss: 0.036
[37,    36] loss: 0.003
[37,    41] loss: 0.083
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[38,     1] loss: 0.003
[38,     6] loss: 0.001
[38,    11] loss: 0.044
[38,    16] loss: 0.043
[38,    21] loss: 0.082
[38,    26] loss: 0.041
[38,    31] loss: 0.085
[38,    36] loss: 0.001
[38,    41] loss: 0.041
[[288   0]
 [  7   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[39,     1] loss: 0.003
[39,     6] loss: 0.055
[39,    11] loss: 0.001
[39,    16] loss: 0.042
[39,    21] loss: 0.080
[39,    26] loss: 0.000
[39,    31] loss: 0.003
[39,    36] loss: 0.043
[39,    41] loss: 0.049
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.000
[40,     6] loss: 0.040
[40,    11] loss: 0.044
[40,    16] loss: 0.001
[40,    21] loss: 0.004
[40,    26] loss: 0.000
[40,    31] loss: 0.002
[40,    36] loss: 0.001
[40,    41] loss: 0.047
[[287   1]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[41,     1] loss: 0.017
[41,     6] loss: 0.000
[41,    11] loss: 0.000
[41,    16] loss: 0.047
[41,    21] loss: 0.082
[41,    26] loss: 0.000
[41,    31] loss: 0.003
[41,    36] loss: 0.041
[41,    41] loss: 0.040
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.041
[42,     6] loss: 0.000
[42,    11] loss: 0.001
[42,    16] loss: 0.001
[42,    21] loss: 0.000
[42,    26] loss: 0.009
[42,    31] loss: 0.000
[42,    36] loss: 0.040
[42,    41] loss: 0.001
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.001
[43,     6] loss: 0.001
[43,    11] loss: 0.003
[43,    16] loss: 0.000
[43,    21] loss: 0.051
[43,    26] loss: 0.002
[43,    31] loss: 0.039
[43,    36] loss: 0.039
[43,    41] loss: 0.000
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.001
[44,     6] loss: 0.001
[44,    11] loss: 0.085
[44,    16] loss: 0.001
[44,    21] loss: 0.003
[44,    26] loss: 0.116
[44,    31] loss: 0.039
[44,    36] loss: 0.000
[44,    41] loss: 0.001
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.000
[45,     6] loss: 0.155
[45,    11] loss: 0.001
[45,    16] loss: 0.001
[45,    21] loss: 0.000
[45,    26] loss: 0.000
[45,    31] loss: 0.042
[45,    36] loss: 0.043
[45,    41] loss: 0.078
[[287   1]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[46,     1] loss: 0.039
[46,     6] loss: 0.077
[46,    11] loss: 0.077
[46,    16] loss: 0.038
[46,    21] loss: 0.038
[46,    26] loss: 0.039
[46,    31] loss: 0.002
[46,    36] loss: 0.000
[46,    41] loss: 0.001
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.039
[47,     6] loss: 0.001
[47,    11] loss: 0.001
[47,    16] loss: 0.038
[47,    21] loss: 0.000
[47,    26] loss: 0.039
[47,    31] loss: 0.002
[47,    36] loss: 0.001
[47,    41] loss: 0.038
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.039
[48,     6] loss: 0.001
[48,    11] loss: 0.001
[48,    16] loss: 0.001
[48,    21] loss: 0.000
[48,    26] loss: 0.003
[48,    31] loss: 0.008
[48,    36] loss: 0.002
[48,    41] loss: 0.076
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.000
[49,     6] loss: 0.039
[49,    11] loss: 0.039
[49,    16] loss: 0.040
[49,    21] loss: 0.000
[49,    26] loss: 0.001
[49,    31] loss: 0.041
[49,    36] loss: 0.039
[49,    41] loss: 0.001
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.077
[50,     6] loss: 0.038
[50,    11] loss: 0.002
[50,    16] loss: 0.001
[50,    21] loss: 0.045
[50,    26] loss: 0.000
[50,    31] loss: 0.001
[50,    36] loss: 0.001
[50,    41] loss: 0.002
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.040
[51,     6] loss: 0.077
[51,    11] loss: 0.001
[51,    16] loss: 0.000
[51,    21] loss: 0.001
[51,    26] loss: 0.046
[51,    31] loss: 0.002
[51,    36] loss: 0.038
[51,    41] loss: 0.038
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.001
[52,     6] loss: 0.001
[52,    11] loss: 0.001
[52,    16] loss: 0.001
[52,    21] loss: 0.002
[52,    26] loss: 0.038
[52,    31] loss: 0.038
[52,    36] loss: 0.001
[52,    41] loss: 0.002
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.001
[53,     6] loss: 0.004
[53,    11] loss: 0.001
[53,    16] loss: 0.002
[53,    21] loss: 0.041
[53,    26] loss: 0.037
[53,    31] loss: 0.002
[53,    36] loss: 0.001
[53,    41] loss: 0.040
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.076
[54,     6] loss: 0.077
[54,    11] loss: 0.039
[54,    16] loss: 0.001
[54,    21] loss: 0.001
[54,    26] loss: 0.001
[54,    31] loss: 0.001
[54,    36] loss: 0.038
[54,    41] loss: 0.074
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.001
[55,     6] loss: 0.002
[55,    11] loss: 0.002
[55,    16] loss: 0.042
[55,    21] loss: 0.004
[55,    26] loss: 0.000
[55,    31] loss: 0.038
[55,    36] loss: 0.038
[55,    41] loss: 0.002
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.003
[56,     6] loss: 0.037
[56,    11] loss: 0.038
[56,    16] loss: 0.002
[56,    21] loss: 0.002
[56,    26] loss: 0.037
[56,    31] loss: 0.001
[56,    36] loss: 0.001
[56,    41] loss: 0.001
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.076
[57,     6] loss: 0.001
[57,    11] loss: 0.002
[57,    16] loss: 0.074
[57,    21] loss: 0.037
[57,    26] loss: 0.002
[57,    31] loss: 0.073
[57,    36] loss: 0.000
[57,    41] loss: 0.037
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.039
[58,     6] loss: 0.004
[58,    11] loss: 0.073
[58,    16] loss: 0.001
[58,    21] loss: 0.001
[58,    26] loss: 0.040
[58,    31] loss: 0.074
[58,    36] loss: 0.001
[58,    41] loss: 0.036
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.037
[59,     6] loss: 0.037
[59,    11] loss: 0.001
[59,    16] loss: 0.001
[59,    21] loss: 0.114
[59,    26] loss: 0.037
[59,    31] loss: 0.002
[59,    36] loss: 0.036
[59,    41] loss: 0.003
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.072
[60,     6] loss: 0.002
[60,    11] loss: 0.037
[60,    16] loss: 0.072
[60,    21] loss: 0.000
[60,    26] loss: 0.002
[60,    31] loss: 0.001
[60,    36] loss: 0.001
[60,    41] loss: 0.003
[[288   0]
 [  0   7]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_above
793
189
CONCEPT SAMPLE COUNT concept_wall_above 189 793
687 295
[1,     1] loss: 1.145
[1,     6] loss: 0.672
[1,    11] loss: 0.572
[1,    16] loss: 0.463
[1,    21] loss: 0.400
[1,    26] loss: 0.493
[1,    31] loss: 0.089
[1,    36] loss: 0.150
[1,    41] loss: 0.024
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[2,     1] loss: 0.003
[2,     6] loss: 0.013
[2,    11] loss: 0.002
[2,    16] loss: 0.000
[2,    21] loss: 0.002
[2,    26] loss: 0.001
[2,    31] loss: 0.003
[2,    36] loss: 0.001
[2,    41] loss: 0.006
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[3,     1] loss: 0.001
[3,     6] loss: 0.001
[3,    11] loss: 0.004
[3,    16] loss: 0.002
[3,    21] loss: 0.002
[3,    26] loss: 0.002
[3,    31] loss: 0.001
[3,    36] loss: 0.000
[3,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.003
[4,     6] loss: 0.001
[4,    11] loss: 0.002
[4,    16] loss: 0.001
[4,    21] loss: 0.001
[4,    26] loss: 0.002
[4,    31] loss: 0.001
[4,    36] loss: 0.005
[4,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.000
[5,     6] loss: 0.002
[5,    11] loss: 0.002
[5,    16] loss: 0.003
[5,    21] loss: 1.499
[5,    26] loss: 0.223
[5,    31] loss: 0.039
[5,    36] loss: 0.010
[5,    41] loss: 0.009
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.007
[6,     6] loss: 0.005
[6,    11] loss: 0.003
[6,    16] loss: 0.003
[6,    21] loss: 0.003
[6,    26] loss: 0.004
[6,    31] loss: 0.003
[6,    36] loss: 0.005
[6,    41] loss: 0.002
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.002
[7,     6] loss: 0.003
[7,    11] loss: 0.004
[7,    16] loss: 0.002
[7,    21] loss: 0.003
[7,    26] loss: 0.001
[7,    31] loss: 0.003
[7,    36] loss: 0.002
[7,    41] loss: 0.003
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.003
[8,     6] loss: 0.001
[8,    11] loss: 0.002
[8,    16] loss: 0.002
[8,    21] loss: 0.002
[8,    26] loss: 0.003
[8,    31] loss: 0.003
[8,    36] loss: 0.002
[8,    41] loss: 0.003
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.001
[9,     6] loss: 0.001
[9,    11] loss: 0.002
[9,    16] loss: 0.001
[9,    21] loss: 0.001
[9,    26] loss: 0.002
[9,    31] loss: 0.001
[9,    36] loss: 0.002
[9,    41] loss: 0.003
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.003
[10,     6] loss: 0.002
[10,    11] loss: 0.002
[10,    16] loss: 0.001
[10,    21] loss: 0.001
[10,    26] loss: 0.002
[10,    31] loss: 0.003
[10,    36] loss: 0.002
[10,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.001
[11,     6] loss: 0.002
[11,    11] loss: 0.002
[11,    16] loss: 0.001
[11,    21] loss: 0.001
[11,    26] loss: 0.004
[11,    31] loss: 0.001
[11,    36] loss: 0.002
[11,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.001
[12,     6] loss: 0.001
[12,    11] loss: 0.001
[12,    16] loss: 0.001
[12,    21] loss: 0.001
[12,    26] loss: 0.002
[12,    31] loss: 0.002
[12,    36] loss: 0.001
[12,    41] loss: 0.002
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.002
[13,     6] loss: 0.001
[13,    11] loss: 0.002
[13,    16] loss: 0.001
[13,    21] loss: 0.001
[13,    26] loss: 0.001
[13,    31] loss: 0.002
[13,    36] loss: 0.001
[13,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.001
[14,     6] loss: 0.002
[14,    11] loss: 0.002
[14,    16] loss: 0.001
[14,    21] loss: 0.001
[14,    26] loss: 0.002
[14,    31] loss: 0.001
[14,    36] loss: 0.001
[14,    41] loss: 0.002
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.003
[15,     6] loss: 0.001
[15,    11] loss: 0.002
[15,    16] loss: 0.001
[15,    21] loss: 0.001
[15,    26] loss: 0.002
[15,    31] loss: 0.004
[15,    36] loss: 0.001
[15,    41] loss: 0.002
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.001
[16,     6] loss: 0.001
[16,    11] loss: 0.001
[16,    16] loss: 0.001
[16,    21] loss: 0.001
[16,    26] loss: 0.001
[16,    31] loss: 0.000
[16,    36] loss: 0.001
[16,    41] loss: 0.002
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.001
[17,     6] loss: 0.001
[17,    11] loss: 0.000
[17,    16] loss: 0.002
[17,    21] loss: 0.001
[17,    26] loss: 0.001
[17,    31] loss: 0.002
[17,    36] loss: 0.002
[17,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.001
[18,     6] loss: 0.001
[18,    11] loss: 0.001
[18,    16] loss: 0.002
[18,    21] loss: 0.001
[18,    26] loss: 0.000
[18,    31] loss: 0.001
[18,    36] loss: 0.000
[18,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.001
[19,     6] loss: 0.001
[19,    11] loss: 0.002
[19,    16] loss: 0.001
[19,    21] loss: 0.002
[19,    26] loss: 0.001
[19,    31] loss: 0.001
[19,    36] loss: 0.002
[19,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.001
[20,     6] loss: 0.001
[20,    11] loss: 0.001
[20,    16] loss: 0.001
[20,    21] loss: 0.000
[20,    26] loss: 0.002
[20,    31] loss: 0.001
[20,    36] loss: 0.002
[20,    41] loss: 0.002
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.000
[21,     6] loss: 0.001
[21,    11] loss: 0.001
[21,    16] loss: 0.001
[21,    21] loss: 0.001
[21,    26] loss: 0.012
[21,    31] loss: 0.001
[21,    36] loss: 0.001
[21,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.000
[22,     6] loss: 0.000
[22,    11] loss: 0.001
[22,    16] loss: 0.000
[22,    21] loss: 0.002
[22,    26] loss: 0.001
[22,    31] loss: 0.001
[22,    36] loss: 0.001
[22,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.001
[23,     6] loss: 0.001
[23,    11] loss: 0.001
[23,    16] loss: 0.002
[23,    21] loss: 0.006
[23,    26] loss: 0.002
[23,    31] loss: 0.000
[23,    36] loss: 0.001
[23,    41] loss: 0.003
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.001
[24,     6] loss: 0.001
[24,    11] loss: 0.001
[24,    16] loss: 0.001
[24,    21] loss: 0.002
[24,    26] loss: 0.001
[24,    31] loss: 0.001
[24,    36] loss: 0.002
[24,    41] loss: 0.000
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.001
[25,     6] loss: 0.002
[25,    11] loss: 0.001
[25,    16] loss: 0.006
[25,    21] loss: 0.003
[25,    26] loss: 0.001
[25,    31] loss: 0.001
[25,    36] loss: 0.001
[25,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.001
[26,     6] loss: 0.000
[26,    11] loss: 0.001
[26,    16] loss: 0.002
[26,    21] loss: 0.001
[26,    26] loss: 0.001
[26,    31] loss: 0.001
[26,    36] loss: 0.001
[26,    41] loss: 0.000
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.001
[27,     6] loss: 0.002
[27,    11] loss: 0.027
[27,    16] loss: 0.008
[27,    21] loss: 0.005
[27,    26] loss: 0.002
[27,    31] loss: 0.001
[27,    36] loss: 0.002
[27,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.002
[28,     6] loss: 0.002
[28,    11] loss: 0.001
[28,    16] loss: 0.002
[28,    21] loss: 0.003
[28,    26] loss: 0.002
[28,    31] loss: 0.001
[28,    36] loss: 0.001
[28,    41] loss: 0.002
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.002
[29,     6] loss: 0.002
[29,    11] loss: 0.001
[29,    16] loss: 0.001
[29,    21] loss: 0.002
[29,    26] loss: 0.002
[29,    31] loss: 0.001
[29,    36] loss: 0.000
[29,    41] loss: 0.002
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.001
[30,     6] loss: 0.000
[30,    11] loss: 0.001
[30,    16] loss: 0.002
[30,    21] loss: 0.002
[30,    26] loss: 0.002
[30,    31] loss: 0.001
[30,    36] loss: 0.001
[30,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.001
[31,     6] loss: 0.001
[31,    11] loss: 0.001
[31,    16] loss: 0.002
[31,    21] loss: 0.001
[31,    26] loss: 0.001
[31,    31] loss: 0.001
[31,    36] loss: 0.002
[31,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.001
[32,     6] loss: 0.001
[32,    11] loss: 0.001
[32,    16] loss: 0.001
[32,    21] loss: 0.002
[32,    26] loss: 0.001
[32,    31] loss: 0.001
[32,    36] loss: 0.001
[32,    41] loss: 0.002
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.001
[33,     6] loss: 0.001
[33,    11] loss: 0.002
[33,    16] loss: 0.002
[33,    21] loss: 0.001
[33,    26] loss: 0.001
[33,    31] loss: 0.001
[33,    36] loss: 0.001
[33,    41] loss: 0.002
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.001
[34,     6] loss: 0.001
[34,    11] loss: 0.002
[34,    16] loss: 0.001
[34,    21] loss: 0.001
[34,    26] loss: 0.000
[34,    31] loss: 0.001
[34,    36] loss: 0.001
[34,    41] loss: 0.002
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.001
[35,     6] loss: 0.001
[35,    11] loss: 0.001
[35,    16] loss: 0.001
[35,    21] loss: 0.001
[35,    26] loss: 0.001
[35,    31] loss: 0.002
[35,    36] loss: 0.001
[35,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.001
[36,     6] loss: 0.001
[36,    11] loss: 0.001
[36,    16] loss: 0.002
[36,    21] loss: 0.002
[36,    26] loss: 0.002
[36,    31] loss: 0.001
[36,    36] loss: 0.001
[36,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.001
[37,     6] loss: 0.001
[37,    11] loss: 0.001
[37,    16] loss: 0.001
[37,    21] loss: 0.002
[37,    26] loss: 0.002
[37,    31] loss: 0.002
[37,    36] loss: 0.001
[37,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.001
[38,     6] loss: 0.000
[38,    11] loss: 0.001
[38,    16] loss: 0.001
[38,    21] loss: 0.001
[38,    26] loss: 0.001
[38,    31] loss: 0.002
[38,    36] loss: 0.001
[38,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.001
[39,     6] loss: 0.001
[39,    11] loss: 0.001
[39,    16] loss: 0.001
[39,    21] loss: 0.001
[39,    26] loss: 0.001
[39,    31] loss: 0.000
[39,    36] loss: 0.003
[39,    41] loss: 0.002
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.001
[40,     6] loss: 0.001
[40,    11] loss: 0.000
[40,    16] loss: 0.002
[40,    21] loss: 0.002
[40,    26] loss: 0.001
[40,    31] loss: 0.000
[40,    36] loss: 0.001
[40,    41] loss: 0.002
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.002
[41,     6] loss: 0.001
[41,    11] loss: 0.001
[41,    16] loss: 0.002
[41,    21] loss: 0.001
[41,    26] loss: 0.001
[41,    31] loss: 0.001
[41,    36] loss: 0.001
[41,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.001
[42,     6] loss: 0.002
[42,    11] loss: 0.001
[42,    16] loss: 0.001
[42,    21] loss: 0.001
[42,    26] loss: 0.002
[42,    31] loss: 0.001
[42,    36] loss: 0.001
[42,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.000
[43,     6] loss: 0.002
[43,    11] loss: 0.000
[43,    16] loss: 0.000
[43,    21] loss: 0.001
[43,    26] loss: 0.001
[43,    31] loss: 0.001
[43,    36] loss: 0.001
[43,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.001
[44,     6] loss: 0.000
[44,    11] loss: 0.000
[44,    16] loss: 0.001
[44,    21] loss: 0.001
[44,    26] loss: 0.001
[44,    31] loss: 0.001
[44,    36] loss: 0.001
[44,    41] loss: 0.000
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.002
[45,     6] loss: 0.001
[45,    11] loss: 0.001
[45,    16] loss: 0.001
[45,    21] loss: 0.002
[45,    26] loss: 0.000
[45,    31] loss: 0.002
[45,    36] loss: 0.001
[45,    41] loss: 0.003
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.001
[46,     6] loss: 0.001
[46,    11] loss: 0.002
[46,    16] loss: 0.002
[46,    21] loss: 0.001
[46,    26] loss: 0.001
[46,    31] loss: 0.001
[46,    36] loss: 0.001
[46,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.001
[47,     6] loss: 0.001
[47,    11] loss: 0.001
[47,    16] loss: 0.001
[47,    21] loss: 0.000
[47,    26] loss: 0.004
[47,    31] loss: 0.001
[47,    36] loss: 0.001
[47,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.001
[48,     6] loss: 0.001
[48,    11] loss: 0.001
[48,    16] loss: 0.001
[48,    21] loss: 0.001
[48,    26] loss: 0.001
[48,    31] loss: 0.000
[48,    36] loss: 0.001
[48,    41] loss: 0.002
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.002
[49,     6] loss: 0.001
[49,    11] loss: 0.001
[49,    16] loss: 0.002
[49,    21] loss: 0.001
[49,    26] loss: 0.000
[49,    31] loss: 0.001
[49,    36] loss: 0.001
[49,    41] loss: 0.002
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.001
[50,     6] loss: 0.001
[50,    11] loss: 0.001
[50,    16] loss: 0.001
[50,    21] loss: 0.001
[50,    26] loss: 0.000
[50,    31] loss: 0.001
[50,    36] loss: 0.003
[50,    41] loss: 0.002
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.000
[51,     6] loss: 0.001
[51,    11] loss: 0.003
[51,    16] loss: 0.000
[51,    21] loss: 0.001
[51,    26] loss: 0.001
[51,    31] loss: 0.003
[51,    36] loss: 0.001
[51,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.001
[52,     6] loss: 0.001
[52,    11] loss: 0.001
[52,    16] loss: 0.001
[52,    21] loss: 0.002
[52,    26] loss: 0.000
[52,    31] loss: 0.002
[52,    36] loss: 0.001
[52,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.001
[53,     6] loss: 0.001
[53,    11] loss: 0.001
[53,    16] loss: 0.001
[53,    21] loss: 0.000
[53,    26] loss: 0.003
[53,    31] loss: 0.003
[53,    36] loss: 0.002
[53,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.002
[54,     6] loss: 0.001
[54,    11] loss: 0.000
[54,    16] loss: 0.001
[54,    21] loss: 0.001
[54,    26] loss: 0.001
[54,    31] loss: 0.001
[54,    36] loss: 0.001
[54,    41] loss: 0.004
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.001
[55,     6] loss: 0.001
[55,    11] loss: 0.001
[55,    16] loss: 0.001
[55,    21] loss: 0.001
[55,    26] loss: 0.002
[55,    31] loss: 0.002
[55,    36] loss: 0.001
[55,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.000
[56,     6] loss: 0.002
[56,    11] loss: 0.001
[56,    16] loss: 0.001
[56,    21] loss: 0.002
[56,    26] loss: 0.001
[56,    31] loss: 0.001
[56,    36] loss: 0.001
[56,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.001
[57,     6] loss: 0.001
[57,    11] loss: 0.001
[57,    16] loss: 0.001
[57,    21] loss: 0.001
[57,    26] loss: 0.001
[57,    31] loss: 0.001
[57,    36] loss: 0.001
[57,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.001
[58,     6] loss: 0.001
[58,    11] loss: 0.002
[58,    16] loss: 0.007
[58,    21] loss: 0.000
[58,    26] loss: 0.001
[58,    31] loss: 0.002
[58,    36] loss: 0.001
[58,    41] loss: 0.003
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.001
[59,     6] loss: 0.002
[59,    11] loss: 0.001
[59,    16] loss: 0.002
[59,    21] loss: 0.001
[59,    26] loss: 0.001
[59,    31] loss: 0.000
[59,    36] loss: 0.001
[59,    41] loss: 0.002
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.002
[60,     6] loss: 0.002
[60,    11] loss: 0.002
[60,    16] loss: 0.000
[60,    21] loss: 0.001
[60,    26] loss: 0.001
[60,    31] loss: 0.001
[60,    36] loss: 0.001
[60,    41] loss: 0.001
[[230   0]
 [  0  65]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_below
755
227
CONCEPT SAMPLE COUNT concept_wall_below 227 755
687 295
[1,     1] loss: 0.491
[1,     6] loss: 0.307
[1,    11] loss: 0.445
[1,    16] loss: 0.511
[1,    21] loss: 0.553
[1,    26] loss: 0.549
[1,    31] loss: 0.326
[1,    36] loss: 0.094
[1,    41] loss: 0.025
[[219   1]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 99 %
[2,     1] loss: 0.041
[2,     6] loss: 0.002
[2,    11] loss: 0.003
[2,    16] loss: 0.005
[2,    21] loss: 0.003
[2,    26] loss: 0.002
[2,    31] loss: 0.001
[2,    36] loss: 0.009
[2,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[3,     1] loss: 0.001
[3,     6] loss: 0.002
[3,    11] loss: 0.002
[3,    16] loss: 0.001
[3,    21] loss: 0.003
[3,    26] loss: 0.003
[3,    31] loss: 0.001
[3,    36] loss: 0.006
[3,    41] loss: 0.003
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.001
[4,     6] loss: 0.003
[4,    11] loss: 0.721
[4,    16] loss: 0.018
[4,    21] loss: 0.001
[4,    26] loss: 0.004
[4,    31] loss: 0.004
[4,    36] loss: 0.002
[4,    41] loss: 0.006
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.002
[5,     6] loss: 0.001
[5,    11] loss: 0.004
[5,    16] loss: 0.003
[5,    21] loss: 0.004
[5,    26] loss: 0.001
[5,    31] loss: 0.001
[5,    36] loss: 0.001
[5,    41] loss: 0.002
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.002
[6,     6] loss: 0.003
[6,    11] loss: 0.002
[6,    16] loss: 0.001
[6,    21] loss: 0.001
[6,    26] loss: 0.005
[6,    31] loss: 0.004
[6,    36] loss: 0.002
[6,    41] loss: 0.002
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.001
[7,     6] loss: 0.002
[7,    11] loss: 0.001
[7,    16] loss: 0.001
[7,    21] loss: 0.003
[7,    26] loss: 0.001
[7,    31] loss: 0.002
[7,    36] loss: 0.004
[7,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.003
[8,     6] loss: 0.002
[8,    11] loss: 0.001
[8,    16] loss: 0.004
[8,    21] loss: 0.002
[8,    26] loss: 0.002
[8,    31] loss: 0.001
[8,    36] loss: 0.002
[8,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.001
[9,     6] loss: 0.001
[9,    11] loss: 0.002
[9,    16] loss: 0.002
[9,    21] loss: 0.001
[9,    26] loss: 0.001
[9,    31] loss: 0.005
[9,    36] loss: 0.003
[9,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.001
[10,     6] loss: 0.002
[10,    11] loss: 0.003
[10,    16] loss: 0.001
[10,    21] loss: 0.001
[10,    26] loss: 0.001
[10,    31] loss: 0.001
[10,    36] loss: 0.001
[10,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.003
[11,     6] loss: 0.001
[11,    11] loss: 0.001
[11,    16] loss: 0.001
[11,    21] loss: 0.001
[11,    26] loss: 0.000
[11,    31] loss: 0.003
[11,    36] loss: 0.002
[11,    41] loss: 0.000
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.001
[12,     6] loss: 0.001
[12,    11] loss: 0.001
[12,    16] loss: 0.001
[12,    21] loss: 0.002
[12,    26] loss: 0.001
[12,    31] loss: 0.000
[12,    36] loss: 0.002
[12,    41] loss: 0.002
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.002
[13,     6] loss: 0.011
[13,    11] loss: 0.004
[13,    16] loss: 0.002
[13,    21] loss: 0.001
[13,    26] loss: 0.001
[13,    31] loss: 0.001
[13,    36] loss: 0.000
[13,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.002
[14,     6] loss: 0.001
[14,    11] loss: 0.003
[14,    16] loss: 0.002
[14,    21] loss: 0.002
[14,    26] loss: 0.002
[14,    31] loss: 0.002
[14,    36] loss: 0.001
[14,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.002
[15,     6] loss: 0.001
[15,    11] loss: 0.001
[15,    16] loss: 0.002
[15,    21] loss: 0.002
[15,    26] loss: 0.005
[15,    31] loss: 0.002
[15,    36] loss: 0.000
[15,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.001
[16,     6] loss: 0.001
[16,    11] loss: 0.001
[16,    16] loss: 0.001
[16,    21] loss: 0.001
[16,    26] loss: 0.003
[16,    31] loss: 0.001
[16,    36] loss: 0.002
[16,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.002
[17,     6] loss: 0.002
[17,    11] loss: 0.002
[17,    16] loss: 0.000
[17,    21] loss: 0.001
[17,    26] loss: 0.001
[17,    31] loss: 0.003
[17,    36] loss: 0.001
[17,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.002
[18,     6] loss: 0.001
[18,    11] loss: 0.001
[18,    16] loss: 0.001
[18,    21] loss: 0.001
[18,    26] loss: 0.000
[18,    31] loss: 0.003
[18,    36] loss: 0.001
[18,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.003
[19,     6] loss: 0.000
[19,    11] loss: 0.001
[19,    16] loss: 0.002
[19,    21] loss: 0.001
[19,    26] loss: 0.001
[19,    31] loss: 0.001
[19,    36] loss: 0.001
[19,    41] loss: 0.002
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.001
[20,     6] loss: 0.002
[20,    11] loss: 0.001
[20,    16] loss: 0.001
[20,    21] loss: 0.001
[20,    26] loss: 0.003
[20,    31] loss: 0.001
[20,    36] loss: 0.017
[20,    41] loss: 0.116
[[220   0]
 [  9  66]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 96 %
[21,     1] loss: 0.090
[21,     6] loss: 0.007
[21,    11] loss: 0.006
[21,    16] loss: 0.006
[21,    21] loss: 0.236
[21,    26] loss: 0.019
[21,    31] loss: 0.006
[21,    36] loss: 0.001
[21,    41] loss: 0.005
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.003
[22,     6] loss: 0.001
[22,    11] loss: 0.003
[22,    16] loss: 0.003
[22,    21] loss: 0.001
[22,    26] loss: 0.001
[22,    31] loss: 0.002
[22,    36] loss: 0.002
[22,    41] loss: 0.002
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.001
[23,     6] loss: 0.002
[23,    11] loss: 0.001
[23,    16] loss: 0.002
[23,    21] loss: 0.001
[23,    26] loss: 0.001
[23,    31] loss: 0.001
[23,    36] loss: 0.001
[23,    41] loss: 0.002
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.002
[24,     6] loss: 0.000
[24,    11] loss: 0.002
[24,    16] loss: 0.002
[24,    21] loss: 0.002
[24,    26] loss: 0.001
[24,    31] loss: 0.001
[24,    36] loss: 0.001
[24,    41] loss: 0.004
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.001
[25,     6] loss: 0.001
[25,    11] loss: 0.002
[25,    16] loss: 0.002
[25,    21] loss: 0.001
[25,    26] loss: 0.002
[25,    31] loss: 0.002
[25,    36] loss: 0.001
[25,    41] loss: 0.000
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.001
[26,     6] loss: 0.001
[26,    11] loss: 0.001
[26,    16] loss: 0.001
[26,    21] loss: 0.001
[26,    26] loss: 0.001
[26,    31] loss: 0.002
[26,    36] loss: 0.001
[26,    41] loss: 0.002
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.002
[27,     6] loss: 0.000
[27,    11] loss: 0.001
[27,    16] loss: 0.001
[27,    21] loss: 0.001
[27,    26] loss: 0.002
[27,    31] loss: 0.003
[27,    36] loss: 0.001
[27,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.001
[28,     6] loss: 0.002
[28,    11] loss: 0.001
[28,    16] loss: 0.001
[28,    21] loss: 0.002
[28,    26] loss: 0.002
[28,    31] loss: 0.001
[28,    36] loss: 0.002
[28,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.001
[29,     6] loss: 0.002
[29,    11] loss: 0.001
[29,    16] loss: 0.001
[29,    21] loss: 0.001
[29,    26] loss: 0.001
[29,    31] loss: 0.001
[29,    36] loss: 0.001
[29,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.001
[30,     6] loss: 0.001
[30,    11] loss: 0.001
[30,    16] loss: 0.002
[30,    21] loss: 0.001
[30,    26] loss: 0.001
[30,    31] loss: 0.001
[30,    36] loss: 0.001
[30,    41] loss: 0.002
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.002
[31,     6] loss: 0.002
[31,    11] loss: 0.001
[31,    16] loss: 0.002
[31,    21] loss: 0.002
[31,    26] loss: 0.002
[31,    31] loss: 0.001
[31,    36] loss: 0.001
[31,    41] loss: 0.002
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.001
[32,     6] loss: 0.001
[32,    11] loss: 0.001
[32,    16] loss: 0.002
[32,    21] loss: 0.001
[32,    26] loss: 0.001
[32,    31] loss: 0.002
[32,    36] loss: 0.001
[32,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.001
[33,     6] loss: 0.001
[33,    11] loss: 0.003
[33,    16] loss: 0.001
[33,    21] loss: 0.002
[33,    26] loss: 0.002
[33,    31] loss: 0.002
[33,    36] loss: 0.000
[33,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.003
[34,     6] loss: 0.001
[34,    11] loss: 0.001
[34,    16] loss: 0.001
[34,    21] loss: 0.001
[34,    26] loss: 0.001
[34,    31] loss: 0.002
[34,    36] loss: 0.002
[34,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.005
[35,     6] loss: 0.001
[35,    11] loss: 0.001
[35,    16] loss: 0.001
[35,    21] loss: 0.001
[35,    26] loss: 0.002
[35,    31] loss: 0.001
[35,    36] loss: 0.001
[35,    41] loss: 0.002
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.001
[36,     6] loss: 0.001
[36,    11] loss: 0.001
[36,    16] loss: 0.001
[36,    21] loss: 0.002
[36,    26] loss: 0.001
[36,    31] loss: 0.002
[36,    36] loss: 0.001
[36,    41] loss: 0.002
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.001
[37,     6] loss: 0.000
[37,    11] loss: 0.001
[37,    16] loss: 0.001
[37,    21] loss: 0.001
[37,    26] loss: 0.002
[37,    31] loss: 0.001
[37,    36] loss: 0.001
[37,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.001
[38,     6] loss: 0.001
[38,    11] loss: 0.001
[38,    16] loss: 0.000
[38,    21] loss: 0.002
[38,    26] loss: 0.001
[38,    31] loss: 0.001
[38,    36] loss: 0.002
[38,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.002
[39,     6] loss: 0.001
[39,    11] loss: 0.002
[39,    16] loss: 0.001
[39,    21] loss: 0.003
[39,    26] loss: 0.003
[39,    31] loss: 0.001
[39,    36] loss: 0.001
[39,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.001
[40,     6] loss: 0.001
[40,    11] loss: 0.001
[40,    16] loss: 0.002
[40,    21] loss: 0.002
[40,    26] loss: 0.001
[40,    31] loss: 0.002
[40,    36] loss: 0.004
[40,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.002
[41,     6] loss: 0.002
[41,    11] loss: 0.000
[41,    16] loss: 0.001
[41,    21] loss: 0.001
[41,    26] loss: 0.001
[41,    31] loss: 0.000
[41,    36] loss: 0.001
[41,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.001
[42,     6] loss: 0.001
[42,    11] loss: 0.000
[42,    16] loss: 0.001
[42,    21] loss: 0.001
[42,    26] loss: 0.001
[42,    31] loss: 0.002
[42,    36] loss: 0.001
[42,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.001
[43,     6] loss: 0.002
[43,    11] loss: 0.001
[43,    16] loss: 0.002
[43,    21] loss: 0.002
[43,    26] loss: 0.001
[43,    31] loss: 0.004
[43,    36] loss: 0.001
[43,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.001
[44,     6] loss: 0.001
[44,    11] loss: 0.002
[44,    16] loss: 0.001
[44,    21] loss: 0.001
[44,    26] loss: 0.001
[44,    31] loss: 0.001
[44,    36] loss: 0.001
[44,    41] loss: 0.002
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.001
[45,     6] loss: 0.000
[45,    11] loss: 0.001
[45,    16] loss: 0.000
[45,    21] loss: 0.002
[45,    26] loss: 0.001
[45,    31] loss: 0.002
[45,    36] loss: 0.000
[45,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.001
[46,     6] loss: 0.001
[46,    11] loss: 0.001
[46,    16] loss: 0.004
[46,    21] loss: 0.001
[46,    26] loss: 0.001
[46,    31] loss: 0.002
[46,    36] loss: 0.002
[46,    41] loss: 0.000
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.001
[47,     6] loss: 0.001
[47,    11] loss: 0.001
[47,    16] loss: 0.001
[47,    21] loss: 0.002
[47,    26] loss: 0.001
[47,    31] loss: 0.001
[47,    36] loss: 0.001
[47,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.002
[48,     6] loss: 0.000
[48,    11] loss: 0.001
[48,    16] loss: 0.001
[48,    21] loss: 0.001
[48,    26] loss: 0.001
[48,    31] loss: 0.002
[48,    36] loss: 0.001
[48,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.000
[49,     6] loss: 0.002
[49,    11] loss: 0.001
[49,    16] loss: 0.001
[49,    21] loss: 0.000
[49,    26] loss: 0.000
[49,    31] loss: 0.001
[49,    36] loss: 0.003
[49,    41] loss: 0.002
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.001
[50,     6] loss: 0.001
[50,    11] loss: 0.002
[50,    16] loss: 0.001
[50,    21] loss: 0.001
[50,    26] loss: 0.001
[50,    31] loss: 0.001
[50,    36] loss: 0.001
[50,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.003
[51,     6] loss: 0.001
[51,    11] loss: 0.002
[51,    16] loss: 0.000
[51,    21] loss: 0.000
[51,    26] loss: 0.001
[51,    31] loss: 0.001
[51,    36] loss: 0.001
[51,    41] loss: 0.004
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.002
[52,     6] loss: 0.001
[52,    11] loss: 0.001
[52,    16] loss: 0.001
[52,    21] loss: 0.000
[52,    26] loss: 0.001
[52,    31] loss: 0.001
[52,    36] loss: 0.001
[52,    41] loss: 0.000
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.001
[53,     6] loss: 0.002
[53,    11] loss: 0.002
[53,    16] loss: 0.000
[53,    21] loss: 0.001
[53,    26] loss: 0.001
[53,    31] loss: 0.001
[53,    36] loss: 0.002
[53,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.000
[54,     6] loss: 0.002
[54,    11] loss: 0.001
[54,    16] loss: 0.001
[54,    21] loss: 0.002
[54,    26] loss: 0.002
[54,    31] loss: 0.001
[54,    36] loss: 0.001
[54,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.001
[55,     6] loss: 0.002
[55,    11] loss: 0.002
[55,    16] loss: 0.002
[55,    21] loss: 0.001
[55,    26] loss: 0.002
[55,    31] loss: 0.000
[55,    36] loss: 0.001
[55,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.001
[56,     6] loss: 0.001
[56,    11] loss: 0.001
[56,    16] loss: 0.004
[56,    21] loss: 0.001
[56,    26] loss: 0.001
[56,    31] loss: 0.002
[56,    36] loss: 0.001
[56,    41] loss: 0.004
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.001
[57,     6] loss: 0.001
[57,    11] loss: 0.002
[57,    16] loss: 0.001
[57,    21] loss: 0.002
[57,    26] loss: 0.001
[57,    31] loss: 0.001
[57,    36] loss: 0.002
[57,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.001
[58,     6] loss: 0.001
[58,    11] loss: 0.001
[58,    16] loss: 0.002
[58,    21] loss: 0.002
[58,    26] loss: 0.002
[58,    31] loss: 0.001
[58,    36] loss: 0.001
[58,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.000
[59,     6] loss: 0.001
[59,    11] loss: 0.001
[59,    16] loss: 0.003
[59,    21] loss: 0.001
[59,    26] loss: 0.001
[59,    31] loss: 0.000
[59,    36] loss: 0.003
[59,    41] loss: 0.001
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.001
[60,     6] loss: 0.001
[60,    11] loss: 0.002
[60,    16] loss: 0.001
[60,    21] loss: 0.003
[60,    26] loss: 0.001
[60,    31] loss: 0.002
[60,    36] loss: 0.001
[60,    41] loss: 0.002
[[220   0]
 [  0  75]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_left
694
288
CONCEPT SAMPLE COUNT concept_wall_left 288 694
687 295
[1,     1] loss: 0.709
[1,     6] loss: 0.674
[1,    11] loss: 0.569
[1,    16] loss: 0.589
[1,    21] loss: 0.580
[1,    26] loss: 0.371
[1,    31] loss: 0.033
[1,    36] loss: 0.010
[1,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[2,     1] loss: 0.003
[2,     6] loss: 0.002
[2,    11] loss: 0.003
[2,    16] loss: 0.001
[2,    21] loss: 0.004
[2,    26] loss: 0.002
[2,    31] loss: 0.003
[2,    36] loss: 0.002
[2,    41] loss: 0.721
[[197   6]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 97 %
[3,     1] loss: 0.013
[3,     6] loss: 0.005
[3,    11] loss: 0.003
[3,    16] loss: 0.002
[3,    21] loss: 0.002
[3,    26] loss: 0.003
[3,    31] loss: 0.003
[3,    36] loss: 0.001
[3,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.002
[4,     6] loss: 0.002
[4,    11] loss: 0.002
[4,    16] loss: 0.002
[4,    21] loss: 0.002
[4,    26] loss: 0.003
[4,    31] loss: 0.001
[4,    36] loss: 0.001
[4,    41] loss: 0.003
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.001
[5,     6] loss: 0.001
[5,    11] loss: 0.001
[5,    16] loss: 0.001
[5,    21] loss: 0.002
[5,    26] loss: 0.002
[5,    31] loss: 0.001
[5,    36] loss: 0.001
[5,    41] loss: 0.002
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.002
[6,     6] loss: 0.001
[6,    11] loss: 0.001
[6,    16] loss: 0.001
[6,    21] loss: 0.002
[6,    26] loss: 0.001
[6,    31] loss: 0.014
[6,    36] loss: 0.342
[6,    41] loss: 0.026
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.015
[7,     6] loss: 0.005
[7,    11] loss: 0.003
[7,    16] loss: 0.003
[7,    21] loss: 0.004
[7,    26] loss: 0.003
[7,    31] loss: 0.003
[7,    36] loss: 0.003
[7,    41] loss: 0.003
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.002
[8,     6] loss: 0.003
[8,    11] loss: 0.002
[8,    16] loss: 0.002
[8,    21] loss: 0.002
[8,    26] loss: 0.002
[8,    31] loss: 0.002
[8,    36] loss: 0.003
[8,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.001
[9,     6] loss: 0.001
[9,    11] loss: 0.001
[9,    16] loss: 0.003
[9,    21] loss: 0.001
[9,    26] loss: 0.001
[9,    31] loss: 0.002
[9,    36] loss: 0.001
[9,    41] loss: 0.002
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.002
[10,     6] loss: 0.001
[10,    11] loss: 0.002
[10,    16] loss: 0.001
[10,    21] loss: 0.001
[10,    26] loss: 0.001
[10,    31] loss: 0.002
[10,    36] loss: 0.001
[10,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.001
[11,     6] loss: 0.001
[11,    11] loss: 0.002
[11,    16] loss: 0.001
[11,    21] loss: 0.002
[11,    26] loss: 0.001
[11,    31] loss: 0.001
[11,    36] loss: 0.001
[11,    41] loss: 0.002
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.002
[12,     6] loss: 0.001
[12,    11] loss: 0.001
[12,    16] loss: 0.001
[12,    21] loss: 0.001
[12,    26] loss: 0.001
[12,    31] loss: 0.001
[12,    36] loss: 0.001
[12,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.002
[13,     6] loss: 0.001
[13,    11] loss: 0.001
[13,    16] loss: 0.002
[13,    21] loss: 0.002
[13,    26] loss: 0.001
[13,    31] loss: 0.002
[13,    36] loss: 0.001
[13,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.002
[14,     6] loss: 0.001
[14,    11] loss: 0.001
[14,    16] loss: 0.001
[14,    21] loss: 0.001
[14,    26] loss: 0.001
[14,    31] loss: 0.002
[14,    36] loss: 0.001
[14,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.001
[15,     6] loss: 0.001
[15,    11] loss: 0.001
[15,    16] loss: 0.001
[15,    21] loss: 0.000
[15,    26] loss: 0.001
[15,    31] loss: 0.001
[15,    36] loss: 0.003
[15,    41] loss: 0.002
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.001
[16,     6] loss: 0.001
[16,    11] loss: 0.001
[16,    16] loss: 0.001
[16,    21] loss: 0.001
[16,    26] loss: 0.001
[16,    31] loss: 0.001
[16,    36] loss: 0.002
[16,    41] loss: 0.002
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.001
[17,     6] loss: 0.001
[17,    11] loss: 0.001
[17,    16] loss: 0.002
[17,    21] loss: 0.002
[17,    26] loss: 0.002
[17,    31] loss: 0.001
[17,    36] loss: 0.001
[17,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.001
[18,     6] loss: 0.001
[18,    11] loss: 0.001
[18,    16] loss: 0.001
[18,    21] loss: 0.001
[18,    26] loss: 0.001
[18,    31] loss: 0.003
[18,    36] loss: 0.002
[18,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.001
[19,     6] loss: 0.001
[19,    11] loss: 0.001
[19,    16] loss: 0.001
[19,    21] loss: 0.001
[19,    26] loss: 0.001
[19,    31] loss: 0.001
[19,    36] loss: 0.001
[19,    41] loss: 0.003
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.001
[20,     6] loss: 0.001
[20,    11] loss: 0.001
[20,    16] loss: 0.001
[20,    21] loss: 0.001
[20,    26] loss: 0.001
[20,    31] loss: 0.001
[20,    36] loss: 0.001
[20,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.002
[21,     6] loss: 0.002
[21,    11] loss: 0.001
[21,    16] loss: 0.002
[21,    21] loss: 0.002
[21,    26] loss: 0.001
[21,    31] loss: 0.001
[21,    36] loss: 0.003
[21,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.001
[22,     6] loss: 0.001
[22,    11] loss: 0.002
[22,    16] loss: 0.001
[22,    21] loss: 0.001
[22,    26] loss: 0.001
[22,    31] loss: 0.001
[22,    36] loss: 0.002
[22,    41] loss: 0.002
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.001
[23,     6] loss: 0.001
[23,    11] loss: 0.002
[23,    16] loss: 0.001
[23,    21] loss: 0.002
[23,    26] loss: 0.001
[23,    31] loss: 0.001
[23,    36] loss: 0.003
[23,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.001
[24,     6] loss: 0.005
[24,    11] loss: 0.001
[24,    16] loss: 0.001
[24,    21] loss: 0.001
[24,    26] loss: 0.002
[24,    31] loss: 0.001
[24,    36] loss: 0.001
[24,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.001
[25,     6] loss: 0.002
[25,    11] loss: 0.001
[25,    16] loss: 0.002
[25,    21] loss: 0.002
[25,    26] loss: 0.001
[25,    31] loss: 0.001
[25,    36] loss: 0.001
[25,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.001
[26,     6] loss: 0.001
[26,    11] loss: 0.002
[26,    16] loss: 0.001
[26,    21] loss: 0.001
[26,    26] loss: 0.001
[26,    31] loss: 0.001
[26,    36] loss: 0.001
[26,    41] loss: 0.002
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.001
[27,     6] loss: 0.001
[27,    11] loss: 0.002
[27,    16] loss: 0.001
[27,    21] loss: 0.001
[27,    26] loss: 0.004
[27,    31] loss: 0.002
[27,    36] loss: 0.001
[27,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.001
[28,     6] loss: 0.001
[28,    11] loss: 0.001
[28,    16] loss: 0.001
[28,    21] loss: 0.002
[28,    26] loss: 0.001
[28,    31] loss: 0.001
[28,    36] loss: 0.003
[28,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.001
[29,     6] loss: 0.001
[29,    11] loss: 0.001
[29,    16] loss: 0.001
[29,    21] loss: 0.001
[29,    26] loss: 0.001
[29,    31] loss: 0.002
[29,    36] loss: 0.001
[29,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.002
[30,     6] loss: 0.001
[30,    11] loss: 0.002
[30,    16] loss: 0.001
[30,    21] loss: 0.001
[30,    26] loss: 0.003
[30,    31] loss: 0.001
[30,    36] loss: 0.001
[30,    41] loss: 0.000
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.001
[31,     6] loss: 0.002
[31,    11] loss: 0.001
[31,    16] loss: 0.001
[31,    21] loss: 0.001
[31,    26] loss: 0.002
[31,    31] loss: 0.001
[31,    36] loss: 0.001
[31,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.001
[32,     6] loss: 0.001
[32,    11] loss: 0.001
[32,    16] loss: 0.002
[32,    21] loss: 0.002
[32,    26] loss: 0.001
[32,    31] loss: 0.002
[32,    36] loss: 0.002
[32,    41] loss: 0.002
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.000
[33,     6] loss: 0.001
[33,    11] loss: 0.001
[33,    16] loss: 0.001
[33,    21] loss: 0.001
[33,    26] loss: 0.001
[33,    31] loss: 0.001
[33,    36] loss: 0.001
[33,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.001
[34,     6] loss: 0.001
[34,    11] loss: 0.001
[34,    16] loss: 0.001
[34,    21] loss: 0.003
[34,    26] loss: 0.001
[34,    31] loss: 0.001
[34,    36] loss: 0.002
[34,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.001
[35,     6] loss: 0.001
[35,    11] loss: 0.001
[35,    16] loss: 0.000
[35,    21] loss: 0.001
[35,    26] loss: 0.001
[35,    31] loss: 0.001
[35,    36] loss: 0.002
[35,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.001
[36,     6] loss: 0.001
[36,    11] loss: 0.002
[36,    16] loss: 0.001
[36,    21] loss: 0.001
[36,    26] loss: 0.001
[36,    31] loss: 0.001
[36,    36] loss: 0.001
[36,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.001
[37,     6] loss: 0.002
[37,    11] loss: 0.001
[37,    16] loss: 0.001
[37,    21] loss: 0.001
[37,    26] loss: 0.001
[37,    31] loss: 0.001
[37,    36] loss: 0.001
[37,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.001
[38,     6] loss: 0.002
[38,    11] loss: 0.001
[38,    16] loss: 0.001
[38,    21] loss: 0.001
[38,    26] loss: 0.001
[38,    31] loss: 0.002
[38,    36] loss: 0.001
[38,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.001
[39,     6] loss: 0.008
[39,    11] loss: 0.002
[39,    16] loss: 0.001
[39,    21] loss: 0.001
[39,    26] loss: 0.001
[39,    31] loss: 0.001
[39,    36] loss: 0.001
[39,    41] loss: 0.000
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.001
[40,     6] loss: 0.001
[40,    11] loss: 0.001
[40,    16] loss: 0.001
[40,    21] loss: 0.001
[40,    26] loss: 0.001
[40,    31] loss: 0.003
[40,    36] loss: 0.002
[40,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.001
[41,     6] loss: 0.001
[41,    11] loss: 0.001
[41,    16] loss: 0.001
[41,    21] loss: 0.003
[41,    26] loss: 0.001
[41,    31] loss: 0.001
[41,    36] loss: 0.001
[41,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.001
[42,     6] loss: 0.001
[42,    11] loss: 0.001
[42,    16] loss: 0.002
[42,    21] loss: 0.001
[42,    26] loss: 0.001
[42,    31] loss: 0.001
[42,    36] loss: 0.001
[42,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.000
[43,     6] loss: 0.003
[43,    11] loss: 0.001
[43,    16] loss: 0.001
[43,    21] loss: 0.001
[43,    26] loss: 0.001
[43,    31] loss: 0.001
[43,    36] loss: 0.001
[43,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.001
[44,     6] loss: 0.001
[44,    11] loss: 0.001
[44,    16] loss: 0.001
[44,    21] loss: 0.001
[44,    26] loss: 0.002
[44,    31] loss: 0.001
[44,    36] loss: 0.000
[44,    41] loss: 0.004
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.001
[45,     6] loss: 0.001
[45,    11] loss: 0.001
[45,    16] loss: 0.001
[45,    21] loss: 0.001
[45,    26] loss: 0.001
[45,    31] loss: 0.001
[45,    36] loss: 0.001
[45,    41] loss: 0.000
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.001
[46,     6] loss: 0.001
[46,    11] loss: 0.003
[46,    16] loss: 0.001
[46,    21] loss: 0.001
[46,    26] loss: 0.000
[46,    31] loss: 0.001
[46,    36] loss: 0.002
[46,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.001
[47,     6] loss: 0.002
[47,    11] loss: 0.001
[47,    16] loss: 0.002
[47,    21] loss: 0.001
[47,    26] loss: 0.001
[47,    31] loss: 0.001
[47,    36] loss: 0.001
[47,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.001
[48,     6] loss: 0.001
[48,    11] loss: 0.002
[48,    16] loss: 0.001
[48,    21] loss: 0.001
[48,    26] loss: 0.000
[48,    31] loss: 0.002
[48,    36] loss: 0.001
[48,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.001
[49,     6] loss: 0.001
[49,    11] loss: 0.001
[49,    16] loss: 0.001
[49,    21] loss: 0.001
[49,    26] loss: 0.001
[49,    31] loss: 0.001
[49,    36] loss: 0.001
[49,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.001
[50,     6] loss: 0.003
[50,    11] loss: 0.001
[50,    16] loss: 0.001
[50,    21] loss: 0.002
[50,    26] loss: 0.001
[50,    31] loss: 0.001
[50,    36] loss: 0.001
[50,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.001
[51,     6] loss: 0.001
[51,    11] loss: 0.001
[51,    16] loss: 0.001
[51,    21] loss: 0.004
[51,    26] loss: 0.001
[51,    31] loss: 0.003
[51,    36] loss: 0.001
[51,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.001
[52,     6] loss: 0.001
[52,    11] loss: 0.001
[52,    16] loss: 0.004
[52,    21] loss: 0.001
[52,    26] loss: 0.001
[52,    31] loss: 0.001
[52,    36] loss: 0.001
[52,    41] loss: 0.000
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.001
[53,     6] loss: 0.001
[53,    11] loss: 0.001
[53,    16] loss: 0.001
[53,    21] loss: 0.001
[53,    26] loss: 0.002
[53,    31] loss: 0.001
[53,    36] loss: 0.001
[53,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.002
[54,     6] loss: 0.001
[54,    11] loss: 0.004
[54,    16] loss: 0.001
[54,    21] loss: 0.001
[54,    26] loss: 0.001
[54,    31] loss: 0.002
[54,    36] loss: 0.001
[54,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.001
[55,     6] loss: 0.000
[55,    11] loss: 0.001
[55,    16] loss: 0.001
[55,    21] loss: 0.001
[55,    26] loss: 0.001
[55,    31] loss: 0.001
[55,    36] loss: 0.001
[55,    41] loss: 0.000
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.002
[56,     6] loss: 0.003
[56,    11] loss: 0.001
[56,    16] loss: 0.001
[56,    21] loss: 0.001
[56,    26] loss: 0.001
[56,    31] loss: 0.001
[56,    36] loss: 0.001
[56,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.001
[57,     6] loss: 0.001
[57,    11] loss: 0.002
[57,    16] loss: 0.001
[57,    21] loss: 0.001
[57,    26] loss: 0.001
[57,    31] loss: 0.001
[57,    36] loss: 0.001
[57,    41] loss: 0.002
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.001
[58,     6] loss: 0.002
[58,    11] loss: 0.001
[58,    16] loss: 0.003
[58,    21] loss: 0.001
[58,    26] loss: 0.001
[58,    31] loss: 0.001
[58,    36] loss: 0.001
[58,    41] loss: 0.000
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.001
[59,     6] loss: 0.001
[59,    11] loss: 0.001
[59,    16] loss: 0.002
[59,    21] loss: 0.001
[59,    26] loss: 0.001
[59,    31] loss: 0.001
[59,    36] loss: 0.002
[59,    41] loss: 0.001
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.001
[60,     6] loss: 0.000
[60,    11] loss: 0.001
[60,    16] loss: 0.001
[60,    21] loss: 0.001
[60,    26] loss: 0.099
[60,    31] loss: 0.006
[60,    36] loss: 0.002
[60,    41] loss: 0.003
[[203   0]
 [  0  92]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_left_below_ofbox
931
51
CONCEPT SAMPLE COUNT concept_wall_left_below_ofbox 51 931
687 295
[1,     1] loss: 0.601
[1,     6] loss: 0.687
[1,    11] loss: 0.949
[1,    16] loss: 0.022
[1,    21] loss: 0.351
[1,    26] loss: 0.064
[1,    31] loss: 0.311
[1,    36] loss: 0.391
[1,    41] loss: 0.366
[[273   0]
 [ 22   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 92 %
[2,     1] loss: 0.465
[2,     6] loss: 0.106
[2,    11] loss: 0.237
[2,    16] loss: 0.025
[2,    21] loss: 0.014
[2,    26] loss: 0.334
[2,    31] loss: 0.062
[2,    36] loss: 0.218
[2,    41] loss: 0.294
[[273   0]
 [ 22   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 92 %
[3,     1] loss: 0.250
[3,     6] loss: 0.126
[3,    11] loss: 0.295
[3,    16] loss: 0.058
[3,    21] loss: 0.004
[3,    26] loss: 0.096
[3,    31] loss: 0.032
[3,    36] loss: 0.048
[3,    41] loss: 0.013
[[  0 273]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 7 %
[4,     1] loss: 1.964
[4,     6] loss: 0.207
[4,    11] loss: 0.024
[4,    16] loss: 0.076
[4,    21] loss: 0.214
[4,    26] loss: 0.018
[4,    31] loss: 0.038
[4,    36] loss: 0.059
[4,    41] loss: 0.026
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.032
[5,     6] loss: 0.003
[5,    11] loss: 0.242
[5,    16] loss: 0.013
[5,    21] loss: 0.009
[5,    26] loss: 0.001
[5,    31] loss: 0.006
[5,    36] loss: 0.005
[5,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.007
[6,     6] loss: 0.002
[6,    11] loss: 0.002
[6,    16] loss: 0.001
[6,    21] loss: 0.000
[6,    26] loss: 0.007
[6,    31] loss: 0.360
[6,    36] loss: 0.002
[6,    41] loss: 0.002
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.013
[7,     6] loss: 0.002
[7,    11] loss: 0.003
[7,    16] loss: 0.002
[7,    21] loss: 0.001
[7,    26] loss: 0.231
[7,    31] loss: 0.133
[7,    36] loss: 0.010
[7,    41] loss: 0.002
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.003
[8,     6] loss: 0.006
[8,    11] loss: 0.007
[8,    16] loss: 0.001
[8,    21] loss: 0.005
[8,    26] loss: 0.012
[8,    31] loss: 0.003
[8,    36] loss: 0.009
[8,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.006
[9,     6] loss: 0.002
[9,    11] loss: 0.001
[9,    16] loss: 0.003
[9,    21] loss: 0.003
[9,    26] loss: 0.002
[9,    31] loss: 0.003
[9,    36] loss: 0.004
[9,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.006
[10,     6] loss: 0.004
[10,    11] loss: 0.002
[10,    16] loss: 0.003
[10,    21] loss: 0.001
[10,    26] loss: 0.003
[10,    31] loss: 0.002
[10,    36] loss: 0.033
[10,    41] loss: 0.004
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.004
[11,     6] loss: 0.002
[11,    11] loss: 0.025
[11,    16] loss: 0.001
[11,    21] loss: 0.001
[11,    26] loss: 0.001
[11,    31] loss: 0.001
[11,    36] loss: 0.004
[11,    41] loss: 0.003
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.001
[12,     6] loss: 0.001
[12,    11] loss: 0.001
[12,    16] loss: 0.003
[12,    21] loss: 0.012
[12,    26] loss: 0.000
[12,    31] loss: 0.003
[12,    36] loss: 0.024
[12,    41] loss: 0.002
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.001
[13,     6] loss: 0.002
[13,    11] loss: 0.003
[13,    16] loss: 0.002
[13,    21] loss: 0.000
[13,    26] loss: 0.001
[13,    31] loss: 0.002
[13,    36] loss: 0.000
[13,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.002
[14,     6] loss: 0.001
[14,    11] loss: 0.002
[14,    16] loss: 0.002
[14,    21] loss: 0.003
[14,    26] loss: 0.003
[14,    31] loss: 0.003
[14,    36] loss: 0.002
[14,    41] loss: 0.249
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.006
[15,     6] loss: 0.004
[15,    11] loss: 0.002
[15,    16] loss: 0.001
[15,    21] loss: 0.002
[15,    26] loss: 0.003
[15,    31] loss: 0.003
[15,    36] loss: 0.004
[15,    41] loss: 0.005
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.003
[16,     6] loss: 0.005
[16,    11] loss: 0.003
[16,    16] loss: 0.001
[16,    21] loss: 0.001
[16,    26] loss: 0.004
[16,    31] loss: 0.002
[16,    36] loss: 0.004
[16,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.003
[17,     6] loss: 0.001
[17,    11] loss: 0.002
[17,    16] loss: 0.003
[17,    21] loss: 0.002
[17,    26] loss: 0.003
[17,    31] loss: 0.001
[17,    36] loss: 0.005
[17,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.001
[18,     6] loss: 0.001
[18,    11] loss: 0.002
[18,    16] loss: 0.003
[18,    21] loss: 0.003
[18,    26] loss: 0.004
[18,    31] loss: 0.004
[18,    36] loss: 0.005
[18,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.003
[19,     6] loss: 0.001
[19,    11] loss: 0.001
[19,    16] loss: 0.002
[19,    21] loss: 0.003
[19,    26] loss: 0.000
[19,    31] loss: 0.001
[19,    36] loss: 0.001
[19,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.001
[20,     6] loss: 0.002
[20,    11] loss: 0.002
[20,    16] loss: 0.001
[20,    21] loss: 0.004
[20,    26] loss: 0.003
[20,    31] loss: 0.000
[20,    36] loss: 0.001
[20,    41] loss: 0.002
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.001
[21,     6] loss: 0.002
[21,    11] loss: 0.002
[21,    16] loss: 0.008
[21,    21] loss: 0.000
[21,    26] loss: 0.001
[21,    31] loss: 0.003
[21,    36] loss: 0.001
[21,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.003
[22,     6] loss: 0.001
[22,    11] loss: 0.003
[22,    16] loss: 0.000
[22,    21] loss: 0.000
[22,    26] loss: 0.000
[22,    31] loss: 0.001
[22,    36] loss: 0.000
[22,    41] loss: 0.010
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.001
[23,     6] loss: 0.004
[23,    11] loss: 0.001
[23,    16] loss: 0.002
[23,    21] loss: 0.002
[23,    26] loss: 0.003
[23,    31] loss: 0.002
[23,    36] loss: 0.001
[23,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.006
[24,     6] loss: 0.002
[24,    11] loss: 0.001
[24,    16] loss: 0.000
[24,    21] loss: 0.001
[24,    26] loss: 0.001
[24,    31] loss: 0.001
[24,    36] loss: 0.000
[24,    41] loss: 0.002
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.002
[25,     6] loss: 0.001
[25,    11] loss: 0.000
[25,    16] loss: 0.000
[25,    21] loss: 0.001
[25,    26] loss: 0.002
[25,    31] loss: 0.003
[25,    36] loss: 0.003
[25,    41] loss: 0.003
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.002
[26,     6] loss: 0.003
[26,    11] loss: 0.000
[26,    16] loss: 0.000
[26,    21] loss: 0.001
[26,    26] loss: 0.003
[26,    31] loss: 0.004
[26,    36] loss: 0.001
[26,    41] loss: 0.000
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.009
[27,     6] loss: 0.003
[27,    11] loss: 0.002
[27,    16] loss: 0.001
[27,    21] loss: 0.001
[27,    26] loss: 0.001
[27,    31] loss: 0.003
[27,    36] loss: 0.002
[27,    41] loss: 0.000
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.000
[28,     6] loss: 0.000
[28,    11] loss: 0.040
[28,    16] loss: 0.003
[28,    21] loss: 0.001
[28,    26] loss: 0.001
[28,    31] loss: 0.002
[28,    36] loss: 0.000
[28,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.000
[29,     6] loss: 0.001
[29,    11] loss: 0.000
[29,    16] loss: 0.000
[29,    21] loss: 0.009
[29,    26] loss: 0.002
[29,    31] loss: 0.002
[29,    36] loss: 0.001
[29,    41] loss: 0.002
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.002
[30,     6] loss: 0.000
[30,    11] loss: 0.001
[30,    16] loss: 0.001
[30,    21] loss: 0.001
[30,    26] loss: 0.000
[30,    31] loss: 0.002
[30,    36] loss: 0.001
[30,    41] loss: 0.002
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.003
[31,     6] loss: 0.000
[31,    11] loss: 0.001
[31,    16] loss: 0.002
[31,    21] loss: 0.001
[31,    26] loss: 0.001
[31,    31] loss: 0.001
[31,    36] loss: 0.000
[31,    41] loss: 0.002
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.002
[32,     6] loss: 0.001
[32,    11] loss: 0.001
[32,    16] loss: 0.001
[32,    21] loss: 0.040
[32,    26] loss: 0.009
[32,    31] loss: 0.003
[32,    36] loss: 0.002
[32,    41] loss: 0.007
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.002
[33,     6] loss: 0.002
[33,    11] loss: 0.002
[33,    16] loss: 0.003
[33,    21] loss: 0.001
[33,    26] loss: 0.001
[33,    31] loss: 0.001
[33,    36] loss: 0.002
[33,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.001
[34,     6] loss: 0.001
[34,    11] loss: 0.001
[34,    16] loss: 0.001
[34,    21] loss: 0.001
[34,    26] loss: 0.002
[34,    31] loss: 0.001
[34,    36] loss: 0.000
[34,    41] loss: 0.007
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.003
[35,     6] loss: 0.003
[35,    11] loss: 0.001
[35,    16] loss: 0.001
[35,    21] loss: 0.001
[35,    26] loss: 0.001
[35,    31] loss: 0.000
[35,    36] loss: 0.012
[35,    41] loss: 0.006
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.002
[36,     6] loss: 0.002
[36,    11] loss: 0.001
[36,    16] loss: 0.001
[36,    21] loss: 0.001
[36,    26] loss: 0.002
[36,    31] loss: 0.001
[36,    36] loss: 0.001
[36,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.003
[37,     6] loss: 0.000
[37,    11] loss: 0.000
[37,    16] loss: 0.003
[37,    21] loss: 0.004
[37,    26] loss: 0.011
[37,    31] loss: 0.002
[37,    36] loss: 0.001
[37,    41] loss: 0.004
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.001
[38,     6] loss: 0.002
[38,    11] loss: 0.001
[38,    16] loss: 0.002
[38,    21] loss: 0.002
[38,    26] loss: 0.011
[38,    31] loss: 0.001
[38,    36] loss: 0.003
[38,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.001
[39,     6] loss: 0.000
[39,    11] loss: 0.000
[39,    16] loss: 0.000
[39,    21] loss: 0.003
[39,    26] loss: 0.001
[39,    31] loss: 0.000
[39,    36] loss: 0.001
[39,    41] loss: 0.000
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.001
[40,     6] loss: 0.002
[40,    11] loss: 0.005
[40,    16] loss: 0.000
[40,    21] loss: 0.000
[40,    26] loss: 0.003
[40,    31] loss: 0.002
[40,    36] loss: 0.002
[40,    41] loss: 0.003
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.003
[41,     6] loss: 0.000
[41,    11] loss: 0.006
[41,    16] loss: 0.001
[41,    21] loss: 0.001
[41,    26] loss: 0.003
[41,    31] loss: 0.001
[41,    36] loss: 0.002
[41,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.000
[42,     6] loss: 0.011
[42,    11] loss: 0.001
[42,    16] loss: 0.000
[42,    21] loss: 0.001
[42,    26] loss: 0.001
[42,    31] loss: 0.002
[42,    36] loss: 0.003
[42,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.002
[43,     6] loss: 0.000
[43,    11] loss: 0.000
[43,    16] loss: 0.000
[43,    21] loss: 0.000
[43,    26] loss: 0.005
[43,    31] loss: 0.001
[43,    36] loss: 0.001
[43,    41] loss: 0.000
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.001
[44,     6] loss: 0.001
[44,    11] loss: 0.000
[44,    16] loss: 0.002
[44,    21] loss: 0.006
[44,    26] loss: 0.001
[44,    31] loss: 0.001
[44,    36] loss: 0.003
[44,    41] loss: 0.000
[[273   0]
 [ 22   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 92 %
[45,     1] loss: 0.000
[45,     6] loss: 0.061
[45,    11] loss: 0.013
[45,    16] loss: 0.002
[45,    21] loss: 0.007
[45,    26] loss: 0.038
[45,    31] loss: 0.008
[45,    36] loss: 0.008
[45,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.001
[46,     6] loss: 0.000
[46,    11] loss: 0.002
[46,    16] loss: 0.001
[46,    21] loss: 0.002
[46,    26] loss: 0.003
[46,    31] loss: 0.003
[46,    36] loss: 0.003
[46,    41] loss: 0.000
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.000
[47,     6] loss: 0.001
[47,    11] loss: 0.001
[47,    16] loss: 0.000
[47,    21] loss: 0.000
[47,    26] loss: 0.000
[47,    31] loss: 0.001
[47,    36] loss: 0.000
[47,    41] loss: 0.000
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.002
[48,     6] loss: 0.002
[48,    11] loss: 0.002
[48,    16] loss: 0.000
[48,    21] loss: 0.000
[48,    26] loss: 0.001
[48,    31] loss: 0.002
[48,    36] loss: 0.000
[48,    41] loss: 0.002
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.003
[49,     6] loss: 0.002
[49,    11] loss: 0.001
[49,    16] loss: 0.003
[49,    21] loss: 0.001
[49,    26] loss: 0.001
[49,    31] loss: 0.002
[49,    36] loss: 0.007
[49,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.001
[50,     6] loss: 0.001
[50,    11] loss: 0.002
[50,    16] loss: 0.000
[50,    21] loss: 0.001
[50,    26] loss: 0.008
[50,    31] loss: 0.001
[50,    36] loss: 0.001
[50,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.001
[51,     6] loss: 0.001
[51,    11] loss: 0.000
[51,    16] loss: 0.000
[51,    21] loss: 0.003
[51,    26] loss: 0.001
[51,    31] loss: 0.003
[51,    36] loss: 0.002
[51,    41] loss: 0.002
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.003
[52,     6] loss: 0.000
[52,    11] loss: 0.000
[52,    16] loss: 0.001
[52,    21] loss: 0.005
[52,    26] loss: 0.001
[52,    31] loss: 0.001
[52,    36] loss: 0.001
[52,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.001
[53,     6] loss: 0.002
[53,    11] loss: 0.001
[53,    16] loss: 0.002
[53,    21] loss: 0.000
[53,    26] loss: 0.001
[53,    31] loss: 0.002
[53,    36] loss: 0.002
[53,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.007
[54,     6] loss: 0.001
[54,    11] loss: 0.001
[54,    16] loss: 0.000
[54,    21] loss: 0.000
[54,    26] loss: 0.001
[54,    31] loss: 0.001
[54,    36] loss: 0.003
[54,    41] loss: 0.010
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.007
[55,     6] loss: 0.001
[55,    11] loss: 0.000
[55,    16] loss: 0.000
[55,    21] loss: 0.000
[55,    26] loss: 0.001
[55,    31] loss: 0.001
[55,    36] loss: 0.003
[55,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.003
[56,     6] loss: 0.001
[56,    11] loss: 0.000
[56,    16] loss: 0.001
[56,    21] loss: 0.001
[56,    26] loss: 0.002
[56,    31] loss: 0.001
[56,    36] loss: 0.001
[56,    41] loss: 0.000
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.000
[57,     6] loss: 0.000
[57,    11] loss: 0.000
[57,    16] loss: 0.000
[57,    21] loss: 0.003
[57,    26] loss: 0.001
[57,    31] loss: 0.002
[57,    36] loss: 0.000
[57,    41] loss: 0.001
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.002
[58,     6] loss: 0.001
[58,    11] loss: 0.000
[58,    16] loss: 0.000
[58,    21] loss: 0.001
[58,    26] loss: 0.011
[58,    31] loss: 0.004
[58,    36] loss: 0.015
[58,    41] loss: 0.000
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.002
[59,     6] loss: 0.003
[59,    11] loss: 0.000
[59,    16] loss: 0.001
[59,    21] loss: 0.002
[59,    26] loss: 0.001
[59,    31] loss: 0.000
[59,    36] loss: 0.001
[59,    41] loss: 0.002
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.002
[60,     6] loss: 0.000
[60,    11] loss: 0.002
[60,    16] loss: 0.001
[60,    21] loss: 0.003
[60,    26] loss: 0.010
[60,    31] loss: 0.001
[60,    36] loss: 0.000
[60,    41] loss: 0.002
[[273   0]
 [  0  22]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_right
716
266
CONCEPT SAMPLE COUNT concept_wall_right 266 716
687 295
[1,     1] loss: 0.913
[1,     6] loss: 0.685
[1,    11] loss: 0.636
[1,    16] loss: 0.566
[1,    21] loss: 0.465
[1,    26] loss: 0.699
[1,    31] loss: 0.552
[1,    36] loss: 0.592
[1,    41] loss: 0.541
[[217   0]
 [ 78   0]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 73 %
[2,     1] loss: 0.626
[2,     6] loss: 0.607
[2,    11] loss: 0.555
[2,    16] loss: 0.529
[2,    21] loss: 0.381
[2,    26] loss: 0.148
[2,    31] loss: 0.139
[2,    36] loss: 0.008
[2,    41] loss: 0.005
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[3,     1] loss: 0.002
[3,     6] loss: 0.006
[3,    11] loss: 0.002
[3,    16] loss: 0.002
[3,    21] loss: 0.001
[3,    26] loss: 0.001
[3,    31] loss: 1.051
[3,    36] loss: 0.009
[3,    41] loss: 0.005
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.002
[4,     6] loss: 0.003
[4,    11] loss: 0.002
[4,    16] loss: 0.001
[4,    21] loss: 0.001
[4,    26] loss: 0.001
[4,    31] loss: 0.001
[4,    36] loss: 0.009
[4,    41] loss: 0.004
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.003
[5,     6] loss: 0.002
[5,    11] loss: 0.001
[5,    16] loss: 0.001
[5,    21] loss: 0.003
[5,    26] loss: 0.002
[5,    31] loss: 0.003
[5,    36] loss: 0.001
[5,    41] loss: 0.002
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.001
[6,     6] loss: 0.001
[6,    11] loss: 0.001
[6,    16] loss: 0.001
[6,    21] loss: 0.001
[6,    26] loss: 0.001
[6,    31] loss: 0.001
[6,    36] loss: 0.002
[6,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.001
[7,     6] loss: 0.001
[7,    11] loss: 0.001
[7,    16] loss: 0.002
[7,    21] loss: 0.001
[7,    26] loss: 0.002
[7,    31] loss: 0.003
[7,    36] loss: 0.001
[7,    41] loss: 0.002
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.001
[8,     6] loss: 0.003
[8,    11] loss: 0.010
[8,    16] loss: 0.003
[8,    21] loss: 0.003
[8,    26] loss: 0.001
[8,    31] loss: 0.001
[8,    36] loss: 0.001
[8,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.002
[9,     6] loss: 0.001
[9,    11] loss: 0.005
[9,    16] loss: 0.001
[9,    21] loss: 0.001
[9,    26] loss: 0.002
[9,    31] loss: 0.001
[9,    36] loss: 0.001
[9,    41] loss: 0.003
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.002
[10,     6] loss: 0.001
[10,    11] loss: 0.002
[10,    16] loss: 0.001
[10,    21] loss: 0.001
[10,    26] loss: 0.001
[10,    31] loss: 0.001
[10,    36] loss: 0.001
[10,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.001
[11,     6] loss: 0.001
[11,    11] loss: 0.001
[11,    16] loss: 0.004
[11,    21] loss: 0.001
[11,    26] loss: 0.001
[11,    31] loss: 0.001
[11,    36] loss: 0.001
[11,    41] loss: 0.041
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.027
[12,     6] loss: 0.008
[12,    11] loss: 0.004
[12,    16] loss: 0.002
[12,    21] loss: 0.004
[12,    26] loss: 0.002
[12,    31] loss: 0.001
[12,    36] loss: 0.001
[12,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.001
[13,     6] loss: 0.001
[13,    11] loss: 0.002
[13,    16] loss: 0.002
[13,    21] loss: 0.001
[13,    26] loss: 0.001
[13,    31] loss: 0.003
[13,    36] loss: 0.001
[13,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.001
[14,     6] loss: 0.001
[14,    11] loss: 0.001
[14,    16] loss: 0.001
[14,    21] loss: 0.001
[14,    26] loss: 0.001
[14,    31] loss: 0.002
[14,    36] loss: 0.002
[14,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.001
[15,     6] loss: 0.001
[15,    11] loss: 0.001
[15,    16] loss: 0.001
[15,    21] loss: 0.001
[15,    26] loss: 0.001
[15,    31] loss: 0.001
[15,    36] loss: 0.001
[15,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.001
[16,     6] loss: 0.001
[16,    11] loss: 0.001
[16,    16] loss: 0.001
[16,    21] loss: 0.001
[16,    26] loss: 0.001
[16,    31] loss: 0.001
[16,    36] loss: 0.002
[16,    41] loss: 0.004
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.001
[17,     6] loss: 0.002
[17,    11] loss: 0.001
[17,    16] loss: 0.002
[17,    21] loss: 0.002
[17,    26] loss: 0.001
[17,    31] loss: 0.006
[17,    36] loss: 0.001
[17,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.001
[18,     6] loss: 0.002
[18,    11] loss: 0.001
[18,    16] loss: 0.002
[18,    21] loss: 0.002
[18,    26] loss: 0.001
[18,    31] loss: 0.002
[18,    36] loss: 0.001
[18,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.001
[19,     6] loss: 0.001
[19,    11] loss: 0.001
[19,    16] loss: 0.001
[19,    21] loss: 0.001
[19,    26] loss: 0.001
[19,    31] loss: 0.001
[19,    36] loss: 0.000
[19,    41] loss: 0.002
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.001
[20,     6] loss: 0.004
[20,    11] loss: 0.001
[20,    16] loss: 0.001
[20,    21] loss: 0.001
[20,    26] loss: 0.001
[20,    31] loss: 0.016
[20,    36] loss: 0.009
[20,    41] loss: 0.003
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.001
[21,     6] loss: 0.003
[21,    11] loss: 0.001
[21,    16] loss: 0.001
[21,    21] loss: 0.001
[21,    26] loss: 0.001
[21,    31] loss: 0.001
[21,    36] loss: 0.001
[21,    41] loss: 0.002
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.001
[22,     6] loss: 0.002
[22,    11] loss: 0.001
[22,    16] loss: 0.001
[22,    21] loss: 0.001
[22,    26] loss: 0.001
[22,    31] loss: 0.001
[22,    36] loss: 0.003
[22,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.001
[23,     6] loss: 0.001
[23,    11] loss: 0.001
[23,    16] loss: 0.001
[23,    21] loss: 0.001
[23,    26] loss: 0.002
[23,    31] loss: 0.001
[23,    36] loss: 0.001
[23,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.002
[24,     6] loss: 0.000
[24,    11] loss: 0.001
[24,    16] loss: 0.001
[24,    21] loss: 0.001
[24,    26] loss: 0.001
[24,    31] loss: 0.001
[24,    36] loss: 0.001
[24,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.001
[25,     6] loss: 0.001
[25,    11] loss: 0.003
[25,    16] loss: 0.001
[25,    21] loss: 0.001
[25,    26] loss: 0.001
[25,    31] loss: 0.000
[25,    36] loss: 0.001
[25,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.001
[26,     6] loss: 0.001
[26,    11] loss: 0.001
[26,    16] loss: 0.001
[26,    21] loss: 0.001
[26,    26] loss: 0.001
[26,    31] loss: 0.003
[26,    36] loss: 0.001
[26,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.001
[27,     6] loss: 0.001
[27,    11] loss: 0.001
[27,    16] loss: 0.002
[27,    21] loss: 0.000
[27,    26] loss: 0.002
[27,    31] loss: 0.001
[27,    36] loss: 0.003
[27,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.000
[28,     6] loss: 0.001
[28,    11] loss: 0.001
[28,    16] loss: 0.007
[28,    21] loss: 0.046
[28,    26] loss: 0.015
[28,    31] loss: 0.007
[28,    36] loss: 0.002
[28,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.001
[29,     6] loss: 0.001
[29,    11] loss: 0.001
[29,    16] loss: 0.001
[29,    21] loss: 0.002
[29,    26] loss: 0.007
[29,    31] loss: 0.001
[29,    36] loss: 0.001
[29,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.001
[30,     6] loss: 0.002
[30,    11] loss: 0.001
[30,    16] loss: 0.001
[30,    21] loss: 0.001
[30,    26] loss: 0.001
[30,    31] loss: 0.001
[30,    36] loss: 0.001
[30,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.001
[31,     6] loss: 0.001
[31,    11] loss: 0.001
[31,    16] loss: 0.001
[31,    21] loss: 0.001
[31,    26] loss: 0.002
[31,    31] loss: 0.001
[31,    36] loss: 0.001
[31,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.002
[32,     6] loss: 0.001
[32,    11] loss: 0.001
[32,    16] loss: 0.001
[32,    21] loss: 0.001
[32,    26] loss: 0.001
[32,    31] loss: 0.000
[32,    36] loss: 0.001
[32,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.004
[33,     6] loss: 0.000
[33,    11] loss: 0.001
[33,    16] loss: 0.001
[33,    21] loss: 0.001
[33,    26] loss: 0.001
[33,    31] loss: 0.002
[33,    36] loss: 0.001
[33,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.001
[34,     6] loss: 0.001
[34,    11] loss: 0.002
[34,    16] loss: 0.001
[34,    21] loss: 0.001
[34,    26] loss: 0.000
[34,    31] loss: 0.001
[34,    36] loss: 0.001
[34,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.002
[35,     6] loss: 0.001
[35,    11] loss: 0.003
[35,    16] loss: 0.001
[35,    21] loss: 0.001
[35,    26] loss: 0.001
[35,    31] loss: 0.001
[35,    36] loss: 0.001
[35,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.001
[36,     6] loss: 0.002
[36,    11] loss: 0.001
[36,    16] loss: 0.001
[36,    21] loss: 0.001
[36,    26] loss: 0.000
[36,    31] loss: 0.000
[36,    36] loss: 0.002
[36,    41] loss: 0.003
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.001
[37,     6] loss: 0.001
[37,    11] loss: 0.001
[37,    16] loss: 0.001
[37,    21] loss: 0.001
[37,    26] loss: 0.001
[37,    31] loss: 0.002
[37,    36] loss: 0.001
[37,    41] loss: 0.004
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.001
[38,     6] loss: 0.001
[38,    11] loss: 0.000
[38,    16] loss: 0.001
[38,    21] loss: 0.001
[38,    26] loss: 0.001
[38,    31] loss: 0.001
[38,    36] loss: 0.003
[38,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.001
[39,     6] loss: 0.001
[39,    11] loss: 0.001
[39,    16] loss: 0.001
[39,    21] loss: 0.001
[39,    26] loss: 0.001
[39,    31] loss: 0.002
[39,    36] loss: 0.001
[39,    41] loss: 0.002
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.001
[40,     6] loss: 0.001
[40,    11] loss: 0.001
[40,    16] loss: 0.001
[40,    21] loss: 0.003
[40,    26] loss: 0.001
[40,    31] loss: 0.001
[40,    36] loss: 0.001
[40,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.000
[41,     6] loss: 0.001
[41,    11] loss: 0.001
[41,    16] loss: 0.001
[41,    21] loss: 0.001
[41,    26] loss: 0.001
[41,    31] loss: 0.001
[41,    36] loss: 0.001
[41,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.001
[42,     6] loss: 0.001
[42,    11] loss: 0.002
[42,    16] loss: 0.001
[42,    21] loss: 0.001
[42,    26] loss: 0.001
[42,    31] loss: 0.001
[42,    36] loss: 0.001
[42,    41] loss: 0.004
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.001
[43,     6] loss: 0.001
[43,    11] loss: 0.001
[43,    16] loss: 0.001
[43,    21] loss: 0.007
[43,    26] loss: 0.001
[43,    31] loss: 0.001
[43,    36] loss: 0.002
[43,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.001
[44,     6] loss: 0.000
[44,    11] loss: 0.001
[44,    16] loss: 0.001
[44,    21] loss: 0.001
[44,    26] loss: 0.002
[44,    31] loss: 0.001
[44,    36] loss: 0.001
[44,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.001
[45,     6] loss: 0.001
[45,    11] loss: 0.001
[45,    16] loss: 0.001
[45,    21] loss: 0.001
[45,    26] loss: 0.001
[45,    31] loss: 0.001
[45,    36] loss: 0.001
[45,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.001
[46,     6] loss: 0.001
[46,    11] loss: 0.001
[46,    16] loss: 0.005
[46,    21] loss: 0.002
[46,    26] loss: 0.001
[46,    31] loss: 0.002
[46,    36] loss: 0.001
[46,    41] loss: 0.002
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.001
[47,     6] loss: 0.001
[47,    11] loss: 0.001
[47,    16] loss: 0.001
[47,    21] loss: 0.001
[47,    26] loss: 0.001
[47,    31] loss: 0.001
[47,    36] loss: 0.001
[47,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.001
[48,     6] loss: 0.001
[48,    11] loss: 0.002
[48,    16] loss: 0.001
[48,    21] loss: 0.001
[48,    26] loss: 0.001
[48,    31] loss: 0.001
[48,    36] loss: 0.000
[48,    41] loss: 0.002
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.001
[49,     6] loss: 0.001
[49,    11] loss: 0.001
[49,    16] loss: 0.001
[49,    21] loss: 0.001
[49,    26] loss: 0.001
[49,    31] loss: 0.001
[49,    36] loss: 0.001
[49,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.002
[50,     6] loss: 0.001
[50,    11] loss: 0.002
[50,    16] loss: 0.001
[50,    21] loss: 0.001
[50,    26] loss: 0.001
[50,    31] loss: 0.006
[50,    36] loss: 0.001
[50,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.001
[51,     6] loss: 0.001
[51,    11] loss: 0.002
[51,    16] loss: 0.000
[51,    21] loss: 0.001
[51,    26] loss: 0.001
[51,    31] loss: 0.001
[51,    36] loss: 0.001
[51,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.001
[52,     6] loss: 0.001
[52,    11] loss: 0.001
[52,    16] loss: 0.001
[52,    21] loss: 0.001
[52,    26] loss: 0.001
[52,    31] loss: 0.002
[52,    36] loss: 0.001
[52,    41] loss: 0.000
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.000
[53,     6] loss: 0.001
[53,    11] loss: 0.001
[53,    16] loss: 0.002
[53,    21] loss: 0.001
[53,    26] loss: 0.001
[53,    31] loss: 0.002
[53,    36] loss: 0.001
[53,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.000
[54,     6] loss: 0.001
[54,    11] loss: 0.001
[54,    16] loss: 0.001
[54,    21] loss: 0.001
[54,    26] loss: 0.001
[54,    31] loss: 0.001
[54,    36] loss: 0.001
[54,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.001
[55,     6] loss: 0.001
[55,    11] loss: 0.002
[55,    16] loss: 0.001
[55,    21] loss: 0.001
[55,    26] loss: 0.001
[55,    31] loss: 0.001
[55,    36] loss: 0.002
[55,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.001
[56,     6] loss: 0.001
[56,    11] loss: 0.002
[56,    16] loss: 0.001
[56,    21] loss: 0.001
[56,    26] loss: 0.001
[56,    31] loss: 0.001
[56,    36] loss: 0.001
[56,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.001
[57,     6] loss: 0.002
[57,    11] loss: 0.001
[57,    16] loss: 0.001
[57,    21] loss: 0.001
[57,    26] loss: 0.001
[57,    31] loss: 0.001
[57,    36] loss: 0.000
[57,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.001
[58,     6] loss: 0.001
[58,    11] loss: 0.001
[58,    16] loss: 0.001
[58,    21] loss: 0.001
[58,    26] loss: 0.001
[58,    31] loss: 0.001
[58,    36] loss: 0.001
[58,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.001
[59,     6] loss: 0.001
[59,    11] loss: 0.001
[59,    16] loss: 0.001
[59,    21] loss: 0.001
[59,    26] loss: 0.001
[59,    31] loss: 0.001
[59,    36] loss: 0.002
[59,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.001
[60,     6] loss: 0.001
[60,    11] loss: 0.001
[60,    16] loss: 0.001
[60,    21] loss: 0.000
[60,    26] loss: 0.001
[60,    31] loss: 0.001
[60,    36] loss: 0.002
[60,    41] loss: 0.001
[[217   0]
 [  0  78]]
DATESET -- 
Train  687 Test  295
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
{'concept_above_switch': 100.0, 'concept_box_above': 96.27118644067797, 'concept_box_below': 96.94915254237289, 'concept_box_left': 100.0, 'concept_box_right': 99.66101694915254, 'concept_empty_above': 100.0, 'concept_empty_below': 100.0, 'concept_empty_left': 97.62711864406779, 'concept_empty_right': 98.98305084745763, 'concept_left_switch': 100.0, 'concept_switch_on': 100.0, 'concept_target_above': 99.66101694915254, 'concept_target_below': 100.0, 'concept_target_left': 100.0, 'concept_target_right': 100.0, 'concept_wall_above': 100.0, 'concept_wall_below': 100.0, 'concept_wall_left': 100.0, 'concept_wall_left_below_ofbox': 100.0, 'concept_wall_right': 100.0}
{'concept_above_switch': array([[289,   0],
       [  0,   6]]), 'concept_box_above': array([[284,   0],
       [ 11,   0]]), 'concept_box_below': array([[286,   0],
       [  9,   0]]), 'concept_box_left': array([[289,   0],
       [  0,   6]]), 'concept_box_right': array([[288,   0],
       [  1,   6]]), 'concept_empty_above': array([[ 65,   0],
       [  0, 230]]), 'concept_empty_below': array([[ 92,   0],
       [  0, 203]]), 'concept_empty_left': array([[ 92,   7],
       [  0, 196]]), 'concept_empty_right': array([[113,   3],
       [  0, 179]]), 'concept_left_switch': array([[285,   0],
       [  0,  10]]), 'concept_switch_on': array([[199,   0],
       [  0,  96]]), 'concept_target_above': array([[281,   1],
       [  0,  13]]), 'concept_target_below': array([[289,   0],
       [  0,   6]]), 'concept_target_left': array([[289,   0],
       [  0,   6]]), 'concept_target_right': array([[288,   0],
       [  0,   7]]), 'concept_wall_above': array([[230,   0],
       [  0,  65]]), 'concept_wall_below': array([[220,   0],
       [  0,  75]]), 'concept_wall_left': array([[203,   0],
       [  0,  92]]), 'concept_wall_left_below_ofbox': array([[273,   0],
       [  0,  22]]), 'concept_wall_right': array([[217,   0],
       [  0,  78]])}
