ROOT  runs-power-flip-cost
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_blank_cell_below
259
495
CONCEPT SAMPLE COUNT concept_blank_cell_below 495 259
527 227
[1,     1] loss: 0.681
[1,     6] loss: 0.653
[1,    11] loss: 0.694
[1,    16] loss: 0.515
[1,    21] loss: 0.682
[1,    26] loss: 0.586
[1,    31] loss: 0.528
[[  0  80]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 64 %
[2,     1] loss: 0.544
[2,     6] loss: 0.607
[2,    11] loss: 0.479
[2,    16] loss: 0.646
[2,    21] loss: 0.547
[2,    26] loss: 0.253
[2,    31] loss: 0.188
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[3,     1] loss: 0.047
[3,     6] loss: 0.397
[3,    11] loss: 0.265
[3,    16] loss: 0.145
[3,    21] loss: 0.380
[3,    26] loss: 0.043
[3,    31] loss: 0.025
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[4,     1] loss: 0.042
[4,     6] loss: 0.031
[4,    11] loss: 0.024
[4,    16] loss: 0.015
[4,    21] loss: 0.037
[4,    26] loss: 0.039
[4,    31] loss: 0.439
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[5,     1] loss: 0.042
[5,     6] loss: 0.022
[5,    11] loss: 0.019
[5,    16] loss: 0.618
[5,    21] loss: 0.081
[5,    26] loss: 0.434
[5,    31] loss: 0.249
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[6,     1] loss: 0.225
[6,     6] loss: 0.023
[6,    11] loss: 0.027
[6,    16] loss: 0.035
[6,    21] loss: 0.045
[6,    26] loss: 0.016
[6,    31] loss: 0.029
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[7,     1] loss: 0.026
[7,     6] loss: 0.066
[7,    11] loss: 0.031
[7,    16] loss: 0.018
[7,    21] loss: 0.045
[7,    26] loss: 0.045
[7,    31] loss: 0.019
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[8,     1] loss: 0.174
[8,     6] loss: 0.025
[8,    11] loss: 0.023
[8,    16] loss: 0.033
[8,    21] loss: 0.017
[8,    26] loss: 0.191
[8,    31] loss: 0.037
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[9,     1] loss: 0.016
[9,     6] loss: 0.276
[9,    11] loss: 0.016
[9,    16] loss: 0.012
[9,    21] loss: 0.029
[9,    26] loss: 0.030
[9,    31] loss: 0.040
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[10,     1] loss: 0.033
[10,     6] loss: 0.225
[10,    11] loss: 0.013
[10,    16] loss: 0.021
[10,    21] loss: 0.433
[10,    26] loss: 0.220
[10,    31] loss: 0.027
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[11,     1] loss: 0.067
[11,     6] loss: 0.015
[11,    11] loss: 0.041
[11,    16] loss: 0.019
[11,    21] loss: 0.270
[11,    26] loss: 0.246
[11,    31] loss: 0.196
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[12,     1] loss: 0.202
[12,     6] loss: 0.027
[12,    11] loss: 0.200
[12,    16] loss: 0.032
[12,    21] loss: 0.038
[12,    26] loss: 0.031
[12,    31] loss: 0.012
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[13,     1] loss: 0.204
[13,     6] loss: 0.015
[13,    11] loss: 0.013
[13,    16] loss: 0.020
[13,    21] loss: 0.056
[13,    26] loss: 0.018
[13,    31] loss: 0.162
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[14,     1] loss: 0.075
[14,     6] loss: 0.013
[14,    11] loss: 0.017
[14,    16] loss: 0.034
[14,    21] loss: 0.080
[14,    26] loss: 0.056
[14,    31] loss: 0.029
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[15,     1] loss: 0.020
[15,     6] loss: 0.234
[15,    11] loss: 0.030
[15,    16] loss: 0.458
[15,    21] loss: 0.033
[15,    26] loss: 0.012
[15,    31] loss: 0.038
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[16,     1] loss: 0.017
[16,     6] loss: 0.040
[16,    11] loss: 0.230
[16,    16] loss: 0.021
[16,    21] loss: 0.242
[16,    26] loss: 0.016
[16,    31] loss: 0.237
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[17,     1] loss: 0.044
[17,     6] loss: 0.065
[17,    11] loss: 0.034
[17,    16] loss: 0.025
[17,    21] loss: 0.034
[17,    26] loss: 0.025
[17,    31] loss: 0.031
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[18,     1] loss: 0.017
[18,     6] loss: 0.198
[18,    11] loss: 0.211
[18,    16] loss: 0.034
[18,    21] loss: 0.019
[18,    26] loss: 0.020
[18,    31] loss: 0.021
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[19,     1] loss: 0.012
[19,     6] loss: 0.028
[19,    11] loss: 0.018
[19,    16] loss: 0.232
[19,    21] loss: 0.233
[19,    26] loss: 0.037
[19,    31] loss: 0.035
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[20,     1] loss: 0.015
[20,     6] loss: 0.248
[20,    11] loss: 0.019
[20,    16] loss: 0.226
[20,    21] loss: 0.391
[20,    26] loss: 0.042
[20,    31] loss: 0.020
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[21,     1] loss: 0.173
[21,     6] loss: 0.207
[21,    11] loss: 0.020
[21,    16] loss: 0.212
[21,    21] loss: 0.029
[21,    26] loss: 0.059
[21,    31] loss: 0.019
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[22,     1] loss: 0.202
[22,     6] loss: 0.025
[22,    11] loss: 0.025
[22,    16] loss: 0.019
[22,    21] loss: 0.014
[22,    26] loss: 0.034
[22,    31] loss: 0.203
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[23,     1] loss: 0.028
[23,     6] loss: 0.029
[23,    11] loss: 0.196
[23,    16] loss: 0.065
[23,    21] loss: 0.239
[23,    26] loss: 0.030
[23,    31] loss: 0.272
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[24,     1] loss: 0.019
[24,     6] loss: 0.024
[24,    11] loss: 0.258
[24,    16] loss: 0.082
[24,    21] loss: 0.030
[24,    26] loss: 0.022
[24,    31] loss: 0.221
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[25,     1] loss: 0.208
[25,     6] loss: 0.019
[25,    11] loss: 0.405
[25,    16] loss: 0.018
[25,    21] loss: 0.218
[25,    26] loss: 0.024
[25,    31] loss: 0.034
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[26,     1] loss: 0.018
[26,     6] loss: 0.238
[26,    11] loss: 0.011
[26,    16] loss: 0.203
[26,    21] loss: 0.207
[26,    26] loss: 0.210
[26,    31] loss: 0.030
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[27,     1] loss: 0.182
[27,     6] loss: 0.031
[27,    11] loss: 0.025
[27,    16] loss: 0.022
[27,    21] loss: 0.240
[27,    26] loss: 0.022
[27,    31] loss: 0.405
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[28,     1] loss: 0.034
[28,     6] loss: 0.205
[28,    11] loss: 0.019
[28,    16] loss: 0.019
[28,    21] loss: 0.219
[28,    26] loss: 0.029
[28,    31] loss: 0.023
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[29,     1] loss: 0.036
[29,     6] loss: 0.104
[29,    11] loss: 0.022
[29,    16] loss: 0.237
[29,    21] loss: 0.025
[29,    26] loss: 0.011
[29,    31] loss: 0.217
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[30,     1] loss: 0.028
[30,     6] loss: 0.241
[30,    11] loss: 0.032
[30,    16] loss: 0.220
[30,    21] loss: 0.214
[30,    26] loss: 0.214
[30,    31] loss: 0.045
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[31,     1] loss: 0.023
[31,     6] loss: 0.038
[31,    11] loss: 0.029
[31,    16] loss: 0.429
[31,    21] loss: 0.213
[31,    26] loss: 0.035
[31,    31] loss: 0.030
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[32,     1] loss: 0.018
[32,     6] loss: 0.026
[32,    11] loss: 0.020
[32,    16] loss: 0.023
[32,    21] loss: 0.027
[32,    26] loss: 0.213
[32,    31] loss: 0.027
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[33,     1] loss: 0.175
[33,     6] loss: 0.015
[33,    11] loss: 0.383
[33,    16] loss: 0.035
[33,    21] loss: 0.039
[33,    26] loss: 0.025
[33,    31] loss: 0.024
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[34,     1] loss: 0.018
[34,     6] loss: 0.013
[34,    11] loss: 0.012
[34,    16] loss: 0.026
[34,    21] loss: 0.019
[34,    26] loss: 0.204
[34,    31] loss: 0.193
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[35,     1] loss: 0.198
[35,     6] loss: 0.195
[35,    11] loss: 0.195
[35,    16] loss: 0.025
[35,    21] loss: 0.027
[35,    26] loss: 0.032
[35,    31] loss: 0.021
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[36,     1] loss: 0.016
[36,     6] loss: 0.013
[36,    11] loss: 0.017
[36,    16] loss: 0.010
[36,    21] loss: 0.015
[36,    26] loss: 0.006
[36,    31] loss: 0.016
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[37,     1] loss: 0.051
[37,     6] loss: 0.028
[37,    11] loss: 0.019
[37,    16] loss: 0.196
[37,    21] loss: 0.016
[37,    26] loss: 0.021
[37,    31] loss: 0.037
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[38,     1] loss: 0.016
[38,     6] loss: 0.021
[38,    11] loss: 0.204
[38,    16] loss: 0.020
[38,    21] loss: 0.261
[38,    26] loss: 0.021
[38,    31] loss: 0.028
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[39,     1] loss: 0.024
[39,     6] loss: 0.031
[39,    11] loss: 0.226
[39,    16] loss: 0.025
[39,    21] loss: 0.027
[39,    26] loss: 0.016
[39,    31] loss: 0.230
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[40,     1] loss: 0.019
[40,     6] loss: 0.586
[40,    11] loss: 0.023
[40,    16] loss: 0.028
[40,    21] loss: 0.015
[40,    26] loss: 0.023
[40,    31] loss: 0.025
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[41,     1] loss: 0.020
[41,     6] loss: 0.024
[41,    11] loss: 0.021
[41,    16] loss: 0.014
[41,    21] loss: 0.011
[41,    26] loss: 0.286
[41,    31] loss: 0.225
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[42,     1] loss: 0.027
[42,     6] loss: 0.029
[42,    11] loss: 0.036
[42,    16] loss: 0.023
[42,    21] loss: 0.027
[42,    26] loss: 0.023
[42,    31] loss: 0.228
[[ 72   8]
 [ 11 136]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[43,     1] loss: 0.107
[43,     6] loss: 0.031
[43,    11] loss: 0.030
[43,    16] loss: 0.009
[43,    21] loss: 0.018
[43,    26] loss: 0.211
[43,    31] loss: 0.022
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[44,     1] loss: 0.020
[44,     6] loss: 0.027
[44,    11] loss: 0.025
[44,    16] loss: 0.198
[44,    21] loss: 0.218
[44,    26] loss: 0.027
[44,    31] loss: 0.013
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[45,     1] loss: 0.008
[45,     6] loss: 0.166
[45,    11] loss: 0.015
[45,    16] loss: 0.015
[45,    21] loss: 0.225
[45,    26] loss: 0.028
[45,    31] loss: 0.195
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[46,     1] loss: 0.020
[46,     6] loss: 0.200
[46,    11] loss: 0.019
[46,    16] loss: 0.018
[46,    21] loss: 0.262
[46,    26] loss: 0.024
[46,    31] loss: 0.214
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[47,     1] loss: 0.029
[47,     6] loss: 0.008
[47,    11] loss: 0.024
[47,    16] loss: 0.234
[47,    21] loss: 0.015
[47,    26] loss: 0.232
[47,    31] loss: 0.191
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[48,     1] loss: 0.027
[48,     6] loss: 0.193
[48,    11] loss: 0.211
[48,    16] loss: 0.024
[48,    21] loss: 0.074
[48,    26] loss: 0.033
[48,    31] loss: 0.029
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[49,     1] loss: 0.015
[49,     6] loss: 0.193
[49,    11] loss: 0.013
[49,    16] loss: 0.235
[49,    21] loss: 0.229
[49,    26] loss: 0.012
[49,    31] loss: 0.236
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[50,     1] loss: 0.037
[50,     6] loss: 0.021
[50,    11] loss: 0.017
[50,    16] loss: 0.016
[50,    21] loss: 0.100
[50,    26] loss: 0.032
[50,    31] loss: 0.202
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[51,     1] loss: 0.042
[51,     6] loss: 0.172
[51,    11] loss: 0.029
[51,    16] loss: 0.011
[51,    21] loss: 0.213
[51,    26] loss: 0.207
[51,    31] loss: 0.056
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[52,     1] loss: 0.017
[52,     6] loss: 0.013
[52,    11] loss: 0.220
[52,    16] loss: 0.038
[52,    21] loss: 0.176
[52,    26] loss: 0.232
[52,    31] loss: 0.234
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[53,     1] loss: 0.018
[53,     6] loss: 0.048
[53,    11] loss: 0.020
[53,    16] loss: 0.017
[53,    21] loss: 0.011
[53,    26] loss: 0.013
[53,    31] loss: 0.177
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[54,     1] loss: 0.028
[54,     6] loss: 0.031
[54,    11] loss: 0.025
[54,    16] loss: 0.024
[54,    21] loss: 0.029
[54,    26] loss: 0.211
[54,    31] loss: 0.189
[[ 72   8]
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DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[55,     1] loss: 0.027
[55,     6] loss: 0.376
[55,    11] loss: 0.190
[55,    16] loss: 0.025
[55,    21] loss: 0.025
[55,    26] loss: 0.028
[55,    31] loss: 0.014
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[56,     1] loss: 0.022
[56,     6] loss: 0.020
[56,    11] loss: 0.384
[56,    16] loss: 0.030
[56,    21] loss: 0.025
[56,    26] loss: 0.015
[56,    31] loss: 0.022
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[57,     1] loss: 0.021
[57,     6] loss: 0.207
[57,    11] loss: 0.041
[57,    16] loss: 0.207
[57,    21] loss: 0.408
[57,    26] loss: 0.029
[57,    31] loss: 0.025
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[58,     1] loss: 0.015
[58,     6] loss: 0.013
[58,    11] loss: 0.021
[58,    16] loss: 0.023
[58,    21] loss: 0.205
[58,    26] loss: 0.034
[58,    31] loss: 0.051
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[59,     1] loss: 0.024
[59,     6] loss: 0.012
[59,    11] loss: 0.027
[59,    16] loss: 0.217
[59,    21] loss: 0.026
[59,    26] loss: 0.016
[59,    31] loss: 0.022
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[60,     1] loss: 0.031
[60,     6] loss: 0.028
[60,    11] loss: 0.013
[60,    16] loss: 0.234
[60,    21] loss: 0.028
[60,    26] loss: 0.204
[60,    31] loss: 0.039
[[ 72   8]
 [  0 147]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_blank_cell_on_left
296
458
CONCEPT SAMPLE COUNT concept_blank_cell_on_left 458 296
527 227
[1,     1] loss: 0.741
[1,     6] loss: 0.701
[1,    11] loss: 0.669
[1,    16] loss: 0.688
[1,    21] loss: 0.686
[1,    26] loss: 0.625
[1,    31] loss: 0.701
[[  0  90]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 60 %
[2,     1] loss: 0.640
[2,     6] loss: 0.731
[2,    11] loss: 0.655
[2,    16] loss: 0.669
[2,    21] loss: 0.697
[2,    26] loss: 0.668
[2,    31] loss: 0.685
[[  0  90]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 60 %
[3,     1] loss: 0.735
[3,     6] loss: 0.736
[3,    11] loss: 0.653
[3,    16] loss: 0.683
[3,    21] loss: 0.664
[3,    26] loss: 0.665
[3,    31] loss: 0.794
[[ 40  50]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 77 %
[4,     1] loss: 0.409
[4,     6] loss: 0.368
[4,    11] loss: 0.527
[4,    16] loss: 0.114
[4,    21] loss: 0.114
[4,    26] loss: 0.343
[4,    31] loss: 0.055
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[5,     1] loss: 0.005
[5,     6] loss: 0.030
[5,    11] loss: 0.266
[5,    16] loss: 0.619
[5,    21] loss: 0.019
[5,    26] loss: 0.343
[5,    31] loss: 0.023
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[6,     1] loss: 0.057
[6,     6] loss: 0.063
[6,    11] loss: 0.011
[6,    16] loss: 0.006
[6,    21] loss: 0.246
[6,    26] loss: 0.211
[6,    31] loss: 0.030
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[7,     1] loss: 0.049
[7,     6] loss: 0.433
[7,    11] loss: 0.052
[7,    16] loss: 0.291
[7,    21] loss: 0.091
[7,    26] loss: 0.010
[7,    31] loss: 0.286
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[8,     1] loss: 0.193
[8,     6] loss: 0.027
[8,    11] loss: 0.273
[8,    16] loss: 0.008
[8,    21] loss: 0.017
[8,    26] loss: 0.071
[8,    31] loss: 0.007
[[ 87   3]
 [  1 136]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[9,     1] loss: 0.044
[9,     6] loss: 0.066
[9,    11] loss: 0.012
[9,    16] loss: 0.010
[9,    21] loss: 0.033
[9,    26] loss: 0.015
[9,    31] loss: 0.006
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[10,     1] loss: 0.020
[10,     6] loss: 0.012
[10,    11] loss: 0.017
[10,    16] loss: 0.006
[10,    21] loss: 0.047
[10,    26] loss: 0.002
[10,    31] loss: 0.172
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[11,     1] loss: 0.042
[11,     6] loss: 0.025
[11,    11] loss: 0.010
[11,    16] loss: 0.006
[11,    21] loss: 0.015
[11,    26] loss: 0.012
[11,    31] loss: 0.013
[[ 87   3]
 [  5 132]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[12,     1] loss: 0.030
[12,     6] loss: 0.009
[12,    11] loss: 0.125
[12,    16] loss: 0.018
[12,    21] loss: 0.023
[12,    26] loss: 0.006
[12,    31] loss: 0.007
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[13,     1] loss: 0.012
[13,     6] loss: 0.019
[13,    11] loss: 0.006
[13,    16] loss: 0.010
[13,    21] loss: 0.005
[13,    26] loss: 0.004
[13,    31] loss: 0.009
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[14,     1] loss: 0.005
[14,     6] loss: 0.076
[14,    11] loss: 0.011
[14,    16] loss: 0.006
[14,    21] loss: 0.004
[14,    26] loss: 0.005
[14,    31] loss: 0.033
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[15,     1] loss: 0.007
[15,     6] loss: 0.015
[15,    11] loss: 0.103
[15,    16] loss: 0.008
[15,    21] loss: 0.006
[15,    26] loss: 0.015
[15,    31] loss: 0.003
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[16,     1] loss: 0.001
[16,     6] loss: 0.092
[16,    11] loss: 0.002
[16,    16] loss: 0.004
[16,    21] loss: 0.007
[16,    26] loss: 0.005
[16,    31] loss: 0.096
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[17,     1] loss: 0.023
[17,     6] loss: 0.002
[17,    11] loss: 0.004
[17,    16] loss: 0.003
[17,    21] loss: 0.003
[17,    26] loss: 0.001
[17,    31] loss: 0.041
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[18,     1] loss: 0.004
[18,     6] loss: 0.009
[18,    11] loss: 0.006
[18,    16] loss: 0.004
[18,    21] loss: 0.001
[18,    26] loss: 0.002
[18,    31] loss: 0.002
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[19,     1] loss: 0.002
[19,     6] loss: 0.008
[19,    11] loss: 0.002
[19,    16] loss: 0.003
[19,    21] loss: 0.002
[19,    26] loss: 0.002
[19,    31] loss: 0.107
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[20,     1] loss: 0.023
[20,     6] loss: 0.005
[20,    11] loss: 0.042
[20,    16] loss: 0.002
[20,    21] loss: 0.114
[20,    26] loss: 0.003
[20,    31] loss: 0.002
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[21,     1] loss: 0.006
[21,     6] loss: 0.070
[21,    11] loss: 0.001
[21,    16] loss: 0.001
[21,    21] loss: 0.032
[21,    26] loss: 0.001
[21,    31] loss: 0.046
[[ 87   3]
 [  1 136]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[22,     1] loss: 0.001
[22,     6] loss: 0.007
[22,    11] loss: 0.002
[22,    16] loss: 0.063
[22,    21] loss: 0.004
[22,    26] loss: 0.000
[22,    31] loss: 0.002
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[23,     1] loss: 0.012
[23,     6] loss: 0.001
[23,    11] loss: 0.001
[23,    16] loss: 0.043
[23,    21] loss: 0.001
[23,    26] loss: 0.077
[23,    31] loss: 0.003
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[24,     1] loss: 0.003
[24,     6] loss: 0.001
[24,    11] loss: 0.013
[24,    16] loss: 0.001
[24,    21] loss: 0.000
[24,    26] loss: 0.014
[24,    31] loss: 0.002
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[25,     1] loss: 0.032
[25,     6] loss: 0.011
[25,    11] loss: 0.005
[25,    16] loss: 0.003
[25,    21] loss: 0.001
[25,    26] loss: 0.014
[25,    31] loss: 0.005
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[26,     1] loss: 0.002
[26,     6] loss: 0.001
[26,    11] loss: 0.003
[26,    16] loss: 0.017
[26,    21] loss: 0.001
[26,    26] loss: 0.054
[26,    31] loss: 0.091
[[ 86   4]
 [  1 136]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[27,     1] loss: 0.037
[27,     6] loss: 0.017
[27,    11] loss: 0.010
[27,    16] loss: 0.002
[27,    21] loss: 0.027
[27,    26] loss: 0.020
[27,    31] loss: 0.001
[[ 87   3]
 [  1 136]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[28,     1] loss: 0.009
[28,     6] loss: 0.005
[28,    11] loss: 0.012
[28,    16] loss: 0.001
[28,    21] loss: 0.006
[28,    26] loss: 0.019
[28,    31] loss: 0.003
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[29,     1] loss: 0.002
[29,     6] loss: 0.001
[29,    11] loss: 0.002
[29,    16] loss: 0.003
[29,    21] loss: 0.010
[29,    26] loss: 0.014
[29,    31] loss: 0.018
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[30,     1] loss: 0.025
[30,     6] loss: 0.013
[30,    11] loss: 0.006
[30,    16] loss: 0.003
[30,    21] loss: 0.006
[30,    26] loss: 0.022
[30,    31] loss: 0.002
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[31,     1] loss: 0.000
[31,     6] loss: 0.001
[31,    11] loss: 0.016
[31,    16] loss: 0.002
[31,    21] loss: 0.001
[31,    26] loss: 0.001
[31,    31] loss: 0.001
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[32,     1] loss: 0.009
[32,     6] loss: 0.020
[32,    11] loss: 0.012
[32,    16] loss: 0.004
[32,    21] loss: 0.020
[32,    26] loss: 0.004
[32,    31] loss: 0.006
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[33,     1] loss: 0.001
[33,     6] loss: 0.002
[33,    11] loss: 0.001
[33,    16] loss: 0.002
[33,    21] loss: 0.002
[33,    26] loss: 0.003
[33,    31] loss: 0.001
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[34,     1] loss: 0.003
[34,     6] loss: 0.013
[34,    11] loss: 0.001
[34,    16] loss: 0.001
[34,    21] loss: 0.025
[34,    26] loss: 0.009
[34,    31] loss: 0.001
[[ 88   2]
 [  4 133]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[35,     1] loss: 0.009
[35,     6] loss: 0.002
[35,    11] loss: 0.024
[35,    16] loss: 0.000
[35,    21] loss: 0.001
[35,    26] loss: 0.005
[35,    31] loss: 0.002
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[36,     1] loss: 0.006
[36,     6] loss: 0.001
[36,    11] loss: 0.005
[36,    16] loss: 0.001
[36,    21] loss: 0.027
[36,    26] loss: 0.001
[36,    31] loss: 0.001
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[37,     1] loss: 0.004
[37,     6] loss: 0.004
[37,    11] loss: 0.004
[37,    16] loss: 0.018
[37,    21] loss: 0.082
[37,    26] loss: 0.003
[37,    31] loss: 0.036
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[38,     1] loss: 0.002
[38,     6] loss: 0.001
[38,    11] loss: 0.008
[38,    16] loss: 0.003
[38,    21] loss: 0.000
[38,    26] loss: 0.000
[38,    31] loss: 0.008
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[39,     1] loss: 0.001
[39,     6] loss: 0.003
[39,    11] loss: 0.003
[39,    16] loss: 0.001
[39,    21] loss: 0.001
[39,    26] loss: 0.000
[39,    31] loss: 0.000
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[40,     1] loss: 0.002
[40,     6] loss: 0.019
[40,    11] loss: 0.002
[40,    16] loss: 0.009
[40,    21] loss: 0.001
[40,    26] loss: 0.002
[40,    31] loss: 0.002
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[41,     1] loss: 0.001
[41,     6] loss: 0.001
[41,    11] loss: 0.002
[41,    16] loss: 0.002
[41,    21] loss: 0.001
[41,    26] loss: 0.001
[41,    31] loss: 0.007
[[ 88   2]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[42,     1] loss: 0.047
[42,     6] loss: 0.156
[42,    11] loss: 0.003
[42,    16] loss: 0.018
[42,    21] loss: 0.006
[42,    26] loss: 0.011
[42,    31] loss: 0.002
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[43,     1] loss: 0.002
[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
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[44,     1] loss: 0.001
[44,     6] loss: 0.005
[44,    11] loss: 0.001
[44,    16] loss: 0.001
[44,    21] loss: 0.001
[44,    26] loss: 0.001
[44,    31] loss: 0.008
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[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: 0.003
[45,    31] loss: 0.002
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[46,     1] loss: 0.007
[46,     6] loss: 0.006
[46,    11] loss: 0.002
[46,    16] loss: 0.001
[46,    21] loss: 0.002
[46,    26] loss: 0.001
[46,    31] loss: 0.004
[[ 88   2]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[47,     1] loss: 0.002
[47,     6] loss: 0.009
[47,    11] loss: 0.008
[47,    16] loss: 0.001
[47,    21] loss: 0.001
[47,    26] loss: 0.003
[47,    31] loss: 0.001
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[48,     1] loss: 0.002
[48,     6] loss: 0.001
[48,    11] loss: 0.002
[48,    16] loss: 0.009
[48,    21] loss: 0.013
[48,    26] loss: 0.003
[48,    31] loss: 0.001
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[49,     1] loss: 0.001
[49,     6] loss: 0.001
[49,    11] loss: 0.004
[49,    16] loss: 0.003
[49,    21] loss: 0.010
[49,    26] loss: 0.010
[49,    31] loss: 0.001
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[50,     1] loss: 0.001
[50,     6] loss: 0.004
[50,    11] loss: 0.002
[50,    16] loss: 0.001
[50,    21] loss: 0.000
[50,    26] loss: 0.001
[50,    31] loss: 0.002
[[ 88   2]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[51,     1] loss: 0.010
[51,     6] loss: 0.003
[51,    11] loss: 0.001
[51,    16] loss: 0.001
[51,    21] loss: 0.009
[51,    26] loss: 0.032
[51,    31] loss: 0.013
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[52,     1] loss: 0.006
[52,     6] loss: 0.001
[52,    11] loss: 0.001
[52,    16] loss: 0.003
[52,    21] loss: 0.002
[52,    26] loss: 0.003
[52,    31] loss: 0.010
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[53,     1] loss: 0.006
[53,     6] loss: 0.001
[53,    11] loss: 0.006
[53,    16] loss: 0.005
[53,    21] loss: 0.002
[53,    26] loss: 0.001
[53,    31] loss: 0.004
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[54,     1] loss: 0.001
[54,     6] loss: 0.001
[54,    11] loss: 0.003
[54,    16] loss: 0.000
[54,    21] loss: 0.001
[54,    26] loss: 0.003
[54,    31] loss: 0.000
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[55,     1] loss: 0.000
[55,     6] loss: 0.018
[55,    11] loss: 0.001
[55,    16] loss: 0.004
[55,    21] loss: 0.016
[55,    26] loss: 0.002
[55,    31] loss: 0.037
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[56,     1] loss: 0.385
[56,     6] loss: 0.342
[56,    11] loss: 0.068
[56,    16] loss: 0.010
[56,    21] loss: 0.003
[56,    26] loss: 0.007
[56,    31] loss: 0.224
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[57,     1] loss: 0.039
[57,     6] loss: 0.009
[57,    11] loss: 0.133
[57,    16] loss: 0.023
[57,    21] loss: 0.038
[57,    26] loss: 0.007
[57,    31] loss: 0.008
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[58,     1] loss: 0.028
[58,     6] loss: 0.094
[58,    11] loss: 0.036
[58,    16] loss: 0.009
[58,    21] loss: 0.004
[58,    26] loss: 0.009
[58,    31] loss: 0.008
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[59,     1] loss: 0.017
[59,     6] loss: 0.003
[59,    11] loss: 0.004
[59,    16] loss: 0.004
[59,    21] loss: 0.007
[59,    26] loss: 0.036
[59,    31] loss: 0.011
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[60,     1] loss: 0.003
[60,     6] loss: 0.017
[60,    11] loss: 0.047
[60,    16] loss: 0.002
[60,    21] loss: 0.002
[60,    26] loss: 0.063
[60,    31] loss: 0.046
[[ 87   3]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_box_below
732
22
CONCEPT SAMPLE COUNT concept_box_below 22 732
527 227
[1,     1] loss: 0.652
[1,     6] loss: 0.368
[1,    11] loss: 0.263
[1,    16] loss: 0.024
[1,    21] loss: 0.006
[1,    26] loss: 0.025
[1,    31] loss: 0.376
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[2,     1] loss: 0.033
[2,     6] loss: 0.122
[2,    11] loss: 0.019
[2,    16] loss: 0.240
[2,    21] loss: 0.020
[2,    26] loss: 0.254
[2,    31] loss: 0.250
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[3,     1] loss: 0.048
[3,     6] loss: 0.018
[3,    11] loss: 0.033
[3,    16] loss: 0.442
[3,    21] loss: 0.033
[3,    26] loss: 0.022
[3,    31] loss: 0.490
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[4,     1] loss: 0.247
[4,     6] loss: 0.018
[4,    11] loss: 0.033
[4,    16] loss: 0.080
[4,    21] loss: 0.080
[4,    26] loss: 0.032
[4,    31] loss: 0.235
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[5,     1] loss: 0.036
[5,     6] loss: 0.234
[5,    11] loss: 0.056
[5,    16] loss: 0.026
[5,    21] loss: 0.241
[5,    26] loss: 0.023
[5,    31] loss: 0.029
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[6,     1] loss: 0.255
[6,     6] loss: 0.040
[6,    11] loss: 0.053
[6,    16] loss: 0.032
[6,    21] loss: 0.011
[6,    26] loss: 0.239
[6,    31] loss: 0.028
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[7,     1] loss: 0.236
[7,     6] loss: 0.249
[7,    11] loss: 0.237
[7,    16] loss: 0.041
[7,    21] loss: 0.288
[7,    26] loss: 0.272
[7,    31] loss: 0.038
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[8,     1] loss: 0.116
[8,     6] loss: 0.237
[8,    11] loss: 0.044
[8,    16] loss: 0.250
[8,    21] loss: 0.275
[8,    26] loss: 0.050
[8,    31] loss: 0.111
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[9,     1] loss: 0.236
[9,     6] loss: 0.484
[9,    11] loss: 0.042
[9,    16] loss: 0.021
[9,    21] loss: 0.496
[9,    26] loss: 0.027
[9,    31] loss: 0.047
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[10,     1] loss: 0.063
[10,     6] loss: 0.046
[10,    11] loss: 0.046
[10,    16] loss: 0.058
[10,    21] loss: 0.064
[10,    26] loss: 0.042
[10,    31] loss: 0.033
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[11,     1] loss: 0.033
[11,     6] loss: 0.819
[11,    11] loss: 0.036
[11,    16] loss: 0.245
[11,    21] loss: 0.462
[11,    26] loss: 0.056
[11,    31] loss: 0.057
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[12,     1] loss: 0.234
[12,     6] loss: 0.442
[12,    11] loss: 0.038
[12,    16] loss: 0.038
[12,    21] loss: 0.055
[12,    26] loss: 0.029
[12,    31] loss: 0.018
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[13,     1] loss: 0.242
[13,     6] loss: 0.018
[13,    11] loss: 0.010
[13,    16] loss: 0.024
[13,    21] loss: 0.237
[13,    26] loss: 0.027
[13,    31] loss: 0.067
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[14,     1] loss: 0.233
[14,     6] loss: 0.025
[14,    11] loss: 0.028
[14,    16] loss: 0.266
[14,    21] loss: 0.402
[14,    26] loss: 0.237
[14,    31] loss: 0.040
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[15,     1] loss: 0.263
[15,     6] loss: 0.021
[15,    11] loss: 0.239
[15,    16] loss: 0.029
[15,    21] loss: 0.034
[15,    26] loss: 0.025
[15,    31] loss: 0.234
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[16,     1] loss: 0.236
[16,     6] loss: 0.050
[16,    11] loss: 0.255
[16,    16] loss: 0.237
[16,    21] loss: 0.237
[16,    26] loss: 0.238
[16,    31] loss: 0.038
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[17,     1] loss: 0.021
[17,     6] loss: 0.246
[17,    11] loss: 0.254
[17,    16] loss: 0.484
[17,    21] loss: 0.027
[17,    26] loss: 0.258
[17,    31] loss: 0.041
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[18,     1] loss: 0.568
[18,     6] loss: 0.090
[18,    11] loss: 0.026
[18,    16] loss: 0.018
[18,    21] loss: 0.297
[18,    26] loss: 0.027
[18,    31] loss: 0.506
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[19,     1] loss: 0.048
[19,     6] loss: 0.036
[19,    11] loss: 0.247
[19,    16] loss: 0.454
[19,    21] loss: 0.032
[19,    26] loss: 0.244
[19,    31] loss: 0.043
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[20,     1] loss: 0.037
[20,     6] loss: 0.016
[20,    11] loss: 0.016
[20,    16] loss: 0.037
[20,    21] loss: 0.248
[20,    26] loss: 0.228
[20,    31] loss: 0.244
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[21,     1] loss: 0.049
[21,     6] loss: 0.038
[21,    11] loss: 0.055
[21,    16] loss: 0.051
[21,    21] loss: 0.030
[21,    26] loss: 0.262
[21,    31] loss: 0.246
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[22,     1] loss: 0.237
[22,     6] loss: 0.033
[22,    11] loss: 0.240
[22,    16] loss: 0.050
[22,    21] loss: 0.268
[22,    26] loss: 0.049
[22,    31] loss: 0.242
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[23,     1] loss: 0.030
[23,     6] loss: 0.401
[23,    11] loss: 0.041
[23,    16] loss: 0.475
[23,    21] loss: 0.043
[23,    26] loss: 0.018
[23,    31] loss: 0.018
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[24,     1] loss: 0.249
[24,     6] loss: 0.243
[24,    11] loss: 0.052
[24,    16] loss: 0.026
[24,    21] loss: 0.468
[24,    26] loss: 0.038
[24,    31] loss: 0.236
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[25,     1] loss: 0.041
[25,     6] loss: 0.018
[25,    11] loss: 0.021
[25,    16] loss: 0.244
[25,    21] loss: 0.228
[25,    26] loss: 0.233
[25,    31] loss: 0.038
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[26,     1] loss: 0.022
[26,     6] loss: 0.245
[26,    11] loss: 0.029
[26,    16] loss: 0.263
[26,    21] loss: 0.244
[26,    26] loss: 0.034
[26,    31] loss: 0.062
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[27,     1] loss: 0.040
[27,     6] loss: 0.239
[27,    11] loss: 0.059
[27,    16] loss: 0.072
[27,    21] loss: 0.075
[27,    26] loss: 0.026
[27,    31] loss: 0.013
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[28,     1] loss: 0.259
[28,     6] loss: 0.021
[28,    11] loss: 0.028
[28,    16] loss: 0.240
[28,    21] loss: 0.243
[28,    26] loss: 0.056
[28,    31] loss: 0.244
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[29,     1] loss: 0.029
[29,     6] loss: 0.247
[29,    11] loss: 0.237
[29,    16] loss: 0.029
[29,    21] loss: 0.021
[29,    26] loss: 0.017
[29,    31] loss: 0.235
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[30,     1] loss: 0.052
[30,     6] loss: 0.026
[30,    11] loss: 0.245
[30,    16] loss: 0.231
[30,    21] loss: 0.055
[30,    26] loss: 0.449
[30,    31] loss: 0.035
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[31,     1] loss: 0.030
[31,     6] loss: 0.022
[31,    11] loss: 0.253
[31,    16] loss: 0.238
[31,    21] loss: 0.240
[31,    26] loss: 0.251
[31,    31] loss: 0.649
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[32,     1] loss: 0.230
[32,     6] loss: 0.469
[32,    11] loss: 0.059
[32,    16] loss: 0.044
[32,    21] loss: 0.046
[32,    26] loss: 0.239
[32,    31] loss: 0.032
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[33,     1] loss: 0.021
[33,     6] loss: 0.242
[33,    11] loss: 0.033
[33,    16] loss: 0.476
[33,    21] loss: 0.249
[33,    26] loss: 0.241
[33,    31] loss: 0.032
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[34,     1] loss: 0.250
[34,     6] loss: 0.035
[34,    11] loss: 0.236
[34,    16] loss: 0.036
[34,    21] loss: 0.050
[34,    26] loss: 0.268
[34,    31] loss: 0.044
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[35,     1] loss: 0.649
[35,     6] loss: 0.082
[35,    11] loss: 0.232
[35,    16] loss: 0.036
[35,    21] loss: 0.018
[35,    26] loss: 0.017
[35,    31] loss: 0.018
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[36,     1] loss: 0.249
[36,     6] loss: 0.025
[36,    11] loss: 0.021
[36,    16] loss: 0.271
[36,    21] loss: 0.259
[36,    26] loss: 0.033
[36,    31] loss: 0.066
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[37,     1] loss: 0.083
[37,     6] loss: 0.248
[37,    11] loss: 0.863
[37,    16] loss: 0.237
[37,    21] loss: 0.060
[37,    26] loss: 0.609
[37,    31] loss: 0.034
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[38,     1] loss: 0.496
[38,     6] loss: 0.028
[38,    11] loss: 0.538
[38,    16] loss: 0.237
[38,    21] loss: 0.025
[38,    26] loss: 0.259
[38,    31] loss: 0.445
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[39,     1] loss: 0.227
[39,     6] loss: 0.052
[39,    11] loss: 0.055
[39,    16] loss: 0.440
[39,    21] loss: 0.044
[39,    26] loss: 0.020
[39,    31] loss: 0.033
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[40,     1] loss: 0.251
[40,     6] loss: 0.026
[40,    11] loss: 0.248
[40,    16] loss: 0.027
[40,    21] loss: 0.038
[40,    26] loss: 0.025
[40,    31] loss: 0.268
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[41,     1] loss: 0.081
[41,     6] loss: 0.117
[41,    11] loss: 0.046
[41,    16] loss: 0.234
[41,    21] loss: 0.054
[41,    26] loss: 0.246
[41,    31] loss: 0.252
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[42,     1] loss: 0.263
[42,     6] loss: 0.016
[42,    11] loss: 0.253
[42,    16] loss: 0.064
[42,    21] loss: 0.035
[42,    26] loss: 0.250
[42,    31] loss: 0.246
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[43,     1] loss: 0.040
[43,     6] loss: 0.061
[43,    11] loss: 0.052
[43,    16] loss: 0.233
[43,    21] loss: 0.442
[43,    26] loss: 0.027
[43,    31] loss: 0.039
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[44,     1] loss: 0.024
[44,     6] loss: 0.050
[44,    11] loss: 0.252
[44,    16] loss: 0.019
[44,    21] loss: 0.023
[44,    26] loss: 0.469
[44,    31] loss: 0.058
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[45,     1] loss: 0.033
[45,     6] loss: 0.031
[45,    11] loss: 0.038
[45,    16] loss: 0.046
[45,    21] loss: 0.236
[45,    26] loss: 0.040
[45,    31] loss: 0.250
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[46,     1] loss: 0.249
[46,     6] loss: 0.043
[46,    11] loss: 0.030
[46,    16] loss: 0.037
[46,    21] loss: 0.025
[46,    26] loss: 0.069
[46,    31] loss: 0.048
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[47,     1] loss: 0.030
[47,     6] loss: 0.036
[47,    11] loss: 0.024
[47,    16] loss: 0.253
[47,    21] loss: 0.027
[47,    26] loss: 0.249
[47,    31] loss: 0.234
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[48,     1] loss: 0.056
[48,     6] loss: 0.029
[48,    11] loss: 0.232
[48,    16] loss: 0.051
[48,    21] loss: 0.044
[48,    26] loss: 0.040
[48,    31] loss: 0.025
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[49,     1] loss: 0.241
[49,     6] loss: 0.029
[49,    11] loss: 0.511
[49,    16] loss: 0.060
[49,    21] loss: 0.034
[49,    26] loss: 0.261
[49,    31] loss: 0.240
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[50,     1] loss: 0.039
[50,     6] loss: 0.483
[50,    11] loss: 0.078
[50,    16] loss: 0.063
[50,    21] loss: 0.649
[50,    26] loss: 0.249
[50,    31] loss: 0.027
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[51,     1] loss: 0.268
[51,     6] loss: 0.449
[51,    11] loss: 0.042
[51,    16] loss: 0.456
[51,    21] loss: 0.034
[51,    26] loss: 0.250
[51,    31] loss: 0.037
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[52,     1] loss: 0.024
[52,     6] loss: 0.024
[52,    11] loss: 0.769
[52,    16] loss: 0.042
[52,    21] loss: 0.236
[52,    26] loss: 0.467
[52,    31] loss: 0.236
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[53,     1] loss: 0.032
[53,     6] loss: 0.031
[53,    11] loss: 0.239
[53,    16] loss: 0.651
[53,    21] loss: 0.039
[53,    26] loss: 0.034
[53,    31] loss: 0.024
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[54,     1] loss: 0.044
[54,     6] loss: 0.026
[54,    11] loss: 0.033
[54,    16] loss: 0.469
[54,    21] loss: 0.025
[54,    26] loss: 0.024
[54,    31] loss: 0.426
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[55,     1] loss: 0.066
[55,     6] loss: 0.402
[55,    11] loss: 0.236
[55,    16] loss: 0.053
[55,    21] loss: 0.258
[55,    26] loss: 0.034
[55,    31] loss: 0.267
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[56,     1] loss: 0.025
[56,     6] loss: 0.027
[56,    11] loss: 0.033
[56,    16] loss: 0.018
[56,    21] loss: 0.029
[56,    26] loss: 0.045
[56,    31] loss: 0.239
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[57,     1] loss: 0.055
[57,     6] loss: 0.045
[57,    11] loss: 0.040
[57,    16] loss: 0.040
[57,    21] loss: 0.031
[57,    26] loss: 0.238
[57,    31] loss: 0.243
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[58,     1] loss: 0.041
[58,     6] loss: 0.020
[58,    11] loss: 0.057
[58,    16] loss: 0.039
[58,    21] loss: 0.252
[58,    26] loss: 0.250
[58,    31] loss: 0.031
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[59,     1] loss: 0.235
[59,     6] loss: 0.043
[59,    11] loss: 0.040
[59,    16] loss: 0.232
[59,    21] loss: 0.037
[59,    26] loss: 0.261
[59,    31] loss: 0.044
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[60,     1] loss: 0.472
[60,     6] loss: 0.054
[60,    11] loss: 0.257
[60,    16] loss: 0.236
[60,    21] loss: 0.036
[60,    26] loss: 0.237
[60,    31] loss: 0.248
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_box_on_left
737
17
CONCEPT SAMPLE COUNT concept_box_on_left 17 737
527 227
[1,     1] loss: 0.893
[1,     6] loss: 0.000
[1,    11] loss: 0.720
[1,    16] loss: 0.324
[1,    21] loss: 0.254
[1,    26] loss: 0.014
[1,    31] loss: 0.319
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[2,     1] loss: 0.008
[2,     6] loss: 0.002
[2,    11] loss: 0.029
[2,    16] loss: 0.285
[2,    21] loss: 0.328
[2,    26] loss: 0.014
[2,    31] loss: 0.009
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[3,     1] loss: 0.353
[3,     6] loss: 0.046
[3,    11] loss: 0.065
[3,    16] loss: 0.006
[3,    21] loss: 0.003
[3,    26] loss: 0.236
[3,    31] loss: 0.264
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[4,     1] loss: 0.015
[4,     6] loss: 0.042
[4,    11] loss: 0.006
[4,    16] loss: 0.033
[4,    21] loss: 0.458
[4,    26] loss: 0.058
[4,    31] loss: 0.032
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[5,     1] loss: 0.054
[5,     6] loss: 0.261
[5,    11] loss: 0.009
[5,    16] loss: 0.366
[5,    21] loss: 0.007
[5,    26] loss: 0.040
[5,    31] loss: 0.027
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[6,     1] loss: 0.044
[6,     6] loss: 0.008
[6,    11] loss: 0.061
[6,    16] loss: 0.022
[6,    21] loss: 0.019
[6,    26] loss: 0.244
[6,    31] loss: 0.442
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[7,     1] loss: 0.030
[7,     6] loss: 0.012
[7,    11] loss: 0.019
[7,    16] loss: 0.017
[7,    21] loss: 0.002
[7,    26] loss: 0.261
[7,    31] loss: 0.244
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[8,     1] loss: 0.021
[8,     6] loss: 0.079
[8,    11] loss: 0.232
[8,    16] loss: 0.028
[8,    21] loss: 0.016
[8,    26] loss: 0.243
[8,    31] loss: 0.023
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[9,     1] loss: 0.265
[9,     6] loss: 0.395
[9,    11] loss: 0.242
[9,    16] loss: 0.014
[9,    21] loss: 0.324
[9,    26] loss: 0.008
[9,    31] loss: 0.010
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[10,     1] loss: 0.006
[10,     6] loss: 0.024
[10,    11] loss: 0.270
[10,    16] loss: 0.298
[10,    21] loss: 0.226
[10,    26] loss: 0.033
[10,    31] loss: 0.255
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[11,     1] loss: 0.058
[11,     6] loss: 0.085
[11,    11] loss: 0.019
[11,    16] loss: 0.465
[11,    21] loss: 0.017
[11,    26] loss: 0.012
[11,    31] loss: 0.016
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[12,     1] loss: 0.253
[12,     6] loss: 0.238
[12,    11] loss: 0.015
[12,    16] loss: 0.304
[12,    21] loss: 0.038
[12,    26] loss: 0.011
[12,    31] loss: 0.248
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[13,     1] loss: 0.041
[13,     6] loss: 0.054
[13,    11] loss: 0.029
[13,    16] loss: 0.028
[13,    21] loss: 0.025
[13,    26] loss: 0.260
[13,    31] loss: 0.016
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[14,     1] loss: 0.020
[14,     6] loss: 0.032
[14,    11] loss: 0.008
[14,    16] loss: 0.281
[14,    21] loss: 0.024
[14,    26] loss: 0.224
[14,    31] loss: 0.038
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[15,     1] loss: 0.068
[15,     6] loss: 0.052
[15,    11] loss: 0.254
[15,    16] loss: 0.296
[15,    21] loss: 0.238
[15,    26] loss: 0.238
[15,    31] loss: 0.016
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[16,     1] loss: 0.008
[16,     6] loss: 0.239
[16,    11] loss: 0.044
[16,    16] loss: 0.012
[16,    21] loss: 0.279
[16,    26] loss: 0.024
[16,    31] loss: 0.287
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[17,     1] loss: 0.024
[17,     6] loss: 0.040
[17,    11] loss: 0.412
[17,    16] loss: 0.026
[17,    21] loss: 0.023
[17,    26] loss: 0.265
[17,    31] loss: 0.021
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[18,     1] loss: 0.039
[18,     6] loss: 0.280
[18,    11] loss: 0.023
[18,    16] loss: 0.456
[18,    21] loss: 0.038
[18,    26] loss: 0.260
[18,    31] loss: 0.240
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[19,     1] loss: 0.241
[19,     6] loss: 0.037
[19,    11] loss: 0.010
[19,    16] loss: 0.027
[19,    21] loss: 0.300
[19,    26] loss: 0.073
[19,    31] loss: 0.016
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[20,     1] loss: 0.287
[20,     6] loss: 0.058
[20,    11] loss: 0.014
[20,    16] loss: 0.014
[20,    21] loss: 0.013
[20,    26] loss: 0.450
[20,    31] loss: 0.024
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[21,     1] loss: 0.238
[21,     6] loss: 0.037
[21,    11] loss: 0.041
[21,    16] loss: 0.476
[21,    21] loss: 0.035
[21,    26] loss: 0.032
[21,    31] loss: 0.025
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[22,     1] loss: 0.030
[22,     6] loss: 0.010
[22,    11] loss: 0.012
[22,    16] loss: 0.013
[22,    21] loss: 0.242
[22,    26] loss: 0.244
[22,    31] loss: 0.051
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[23,     1] loss: 0.038
[23,     6] loss: 0.286
[23,    11] loss: 0.243
[23,    16] loss: 0.040
[23,    21] loss: 0.038
[23,    26] loss: 0.239
[23,    31] loss: 0.015
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[24,     1] loss: 0.022
[24,     6] loss: 0.027
[24,    11] loss: 0.271
[24,    16] loss: 0.071
[24,    21] loss: 0.274
[24,    26] loss: 0.029
[24,    31] loss: 0.031
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[25,     1] loss: 0.015
[25,     6] loss: 0.018
[25,    11] loss: 0.014
[25,    16] loss: 0.260
[25,    21] loss: 0.266
[25,    26] loss: 0.024
[25,    31] loss: 0.044
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[26,     1] loss: 0.250
[26,     6] loss: 0.017
[26,    11] loss: 0.021
[26,    16] loss: 0.036
[26,    21] loss: 0.032
[26,    26] loss: 0.017
[26,    31] loss: 0.038
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[27,     1] loss: 0.035
[27,     6] loss: 0.022
[27,    11] loss: 0.028
[27,    16] loss: 0.050
[27,    21] loss: 0.039
[27,    26] loss: 0.020
[27,    31] loss: 0.014
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[28,     1] loss: 0.018
[28,     6] loss: 0.025
[28,    11] loss: 0.226
[28,    16] loss: 0.249
[28,    21] loss: 0.015
[28,    26] loss: 0.036
[28,    31] loss: 0.024
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[29,     1] loss: 0.024
[29,     6] loss: 0.041
[29,    11] loss: 0.027
[29,    16] loss: 0.017
[29,    21] loss: 0.020
[29,    26] loss: 0.019
[29,    31] loss: 0.482
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[30,     1] loss: 0.028
[30,     6] loss: 0.043
[30,    11] loss: 0.086
[30,    16] loss: 0.049
[30,    21] loss: 0.015
[30,    26] loss: 0.012
[30,    31] loss: 0.014
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[31,     1] loss: 0.258
[31,     6] loss: 0.272
[31,    11] loss: 0.039
[31,    16] loss: 0.237
[31,    21] loss: 0.020
[31,    26] loss: 0.020
[31,    31] loss: 0.038
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[32,     1] loss: 0.018
[32,     6] loss: 0.028
[32,    11] loss: 0.030
[32,    16] loss: 0.273
[32,    21] loss: 0.236
[32,    26] loss: 0.052
[32,    31] loss: 0.018
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[33,     1] loss: 0.009
[33,     6] loss: 0.022
[33,    11] loss: 0.410
[33,    16] loss: 0.222
[33,    21] loss: 0.029
[33,    26] loss: 0.010
[33,    31] loss: 0.610
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[34,     1] loss: 0.250
[34,     6] loss: 0.049
[34,    11] loss: 0.229
[34,    16] loss: 0.035
[34,    21] loss: 0.031
[34,    26] loss: 0.028
[34,    31] loss: 0.017
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[35,     1] loss: 0.284
[35,     6] loss: 0.225
[35,    11] loss: 0.042
[35,    16] loss: 0.016
[35,    21] loss: 0.016
[35,    26] loss: 0.025
[35,    31] loss: 0.255
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[36,     1] loss: 0.037
[36,     6] loss: 0.018
[36,    11] loss: 0.014
[36,    16] loss: 0.016
[36,    21] loss: 0.220
[36,    26] loss: 0.044
[36,    31] loss: 0.262
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[37,     1] loss: 0.029
[37,     6] loss: 0.019
[37,    11] loss: 0.015
[37,    16] loss: 0.271
[37,    21] loss: 0.012
[37,    26] loss: 0.027
[37,    31] loss: 0.225
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[38,     1] loss: 0.213
[38,     6] loss: 0.259
[38,    11] loss: 0.275
[38,    16] loss: 0.025
[38,    21] loss: 0.018
[38,    26] loss: 0.286
[38,    31] loss: 0.267
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[39,     1] loss: 0.204
[39,     6] loss: 0.049
[39,    11] loss: 0.016
[39,    16] loss: 0.251
[39,    21] loss: 0.225
[39,    26] loss: 0.017
[39,    31] loss: 0.018
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[40,     1] loss: 0.218
[40,     6] loss: 0.024
[40,    11] loss: 0.021
[40,    16] loss: 0.056
[40,    21] loss: 0.036
[40,    26] loss: 0.024
[40,    31] loss: 0.024
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[41,     1] loss: 0.218
[41,     6] loss: 0.014
[41,    11] loss: 0.029
[41,    16] loss: 0.026
[41,    21] loss: 0.012
[41,    26] loss: 0.231
[41,    31] loss: 0.233
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[42,     1] loss: 0.050
[42,     6] loss: 0.199
[42,    11] loss: 0.214
[42,    16] loss: 0.026
[42,    21] loss: 0.020
[42,    26] loss: 0.257
[42,    31] loss: 0.232
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[43,     1] loss: 0.217
[43,     6] loss: 0.033
[43,    11] loss: 0.030
[43,    16] loss: 0.232
[43,    21] loss: 0.032
[43,    26] loss: 0.206
[43,    31] loss: 0.022
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[44,     1] loss: 0.316
[44,     6] loss: 0.033
[44,    11] loss: 0.016
[44,    16] loss: 0.299
[44,    21] loss: 0.023
[44,    26] loss: 0.221
[44,    31] loss: 0.508
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[45,     1] loss: 0.031
[45,     6] loss: 0.428
[45,    11] loss: 0.044
[45,    16] loss: 0.033
[45,    21] loss: 0.034
[45,    26] loss: 0.022
[45,    31] loss: 0.244
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[46,     1] loss: 0.036
[46,     6] loss: 0.007
[46,    11] loss: 0.030
[46,    16] loss: 0.355
[46,    21] loss: 0.031
[46,    26] loss: 0.226
[46,    31] loss: 0.201
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[47,     1] loss: 0.023
[47,     6] loss: 0.019
[47,    11] loss: 0.031
[47,    16] loss: 0.022
[47,    21] loss: 0.038
[47,    26] loss: 0.385
[47,    31] loss: 0.213
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[48,     1] loss: 0.404
[48,     6] loss: 0.047
[48,    11] loss: 0.293
[48,    16] loss: 0.009
[48,    21] loss: 0.002
[48,    26] loss: 0.054
[48,    31] loss: 0.051
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[49,     1] loss: 0.426
[49,     6] loss: 0.196
[49,    11] loss: 0.475
[49,    16] loss: 0.062
[49,    21] loss: 0.048
[49,    26] loss: 0.016
[49,    31] loss: 0.010
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[50,     1] loss: 0.012
[50,     6] loss: 0.245
[50,    11] loss: 0.022
[50,    16] loss: 0.023
[50,    21] loss: 0.191
[50,    26] loss: 0.212
[50,    31] loss: 0.042
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[51,     1] loss: 0.425
[51,     6] loss: 0.058
[51,    11] loss: 0.050
[51,    16] loss: 0.217
[51,    21] loss: 0.017
[51,    26] loss: 0.022
[51,    31] loss: 0.021
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[52,     1] loss: 0.244
[52,     6] loss: 0.013
[52,    11] loss: 0.016
[52,    16] loss: 0.222
[52,    21] loss: 0.216
[52,    26] loss: 0.021
[52,    31] loss: 0.013
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[53,     1] loss: 0.069
[53,     6] loss: 0.023
[53,    11] loss: 0.034
[53,    16] loss: 0.020
[53,    21] loss: 0.190
[53,    26] loss: 0.039
[53,    31] loss: 0.027
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[54,     1] loss: 0.008
[54,     6] loss: 0.032
[54,    11] loss: 0.019
[54,    16] loss: 0.020
[54,    21] loss: 0.046
[54,    26] loss: 0.025
[54,    31] loss: 0.285
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[55,     1] loss: 0.026
[55,     6] loss: 0.022
[55,    11] loss: 0.042
[55,    16] loss: 0.309
[55,    21] loss: 0.019
[55,    26] loss: 0.003
[55,    31] loss: 0.011
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[56,     1] loss: 0.004
[56,     6] loss: 0.008
[56,    11] loss: 0.252
[56,    16] loss: 0.027
[56,    21] loss: 0.263
[56,    26] loss: 0.037
[56,    31] loss: 0.022
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[57,     1] loss: 0.023
[57,     6] loss: 0.170
[57,    11] loss: 0.033
[57,    16] loss: 0.442
[57,    21] loss: 0.049
[57,    26] loss: 0.013
[57,    31] loss: 0.020
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[58,     1] loss: 0.011
[58,     6] loss: 0.021
[58,    11] loss: 0.020
[58,    16] loss: 0.277
[58,    21] loss: 0.205
[58,    26] loss: 0.226
[58,    31] loss: 0.176
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[59,     1] loss: 0.026
[59,     6] loss: 0.022
[59,    11] loss: 0.048
[59,    16] loss: 0.295
[59,    21] loss: 0.043
[59,    26] loss: 0.013
[59,    31] loss: 0.048
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[60,     1] loss: 0.014
[60,     6] loss: 0.316
[60,    11] loss: 0.159
[60,    16] loss: 0.015
[60,    21] loss: 0.201
[60,    26] loss: 0.009
[60,    31] loss: 0.318
[[223   0]
 [  4   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_box_on_right
734
20
CONCEPT SAMPLE COUNT concept_box_on_right 20 734
527 227
[1,     1] loss: 0.496
[1,     6] loss: 0.234
[1,    11] loss: 0.050
[1,    16] loss: 0.006
[1,    21] loss: 0.239
[1,    26] loss: 0.241
[1,    31] loss: 0.305
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[2,     1] loss: 0.252
[2,     6] loss: 0.255
[2,    11] loss: 0.021
[2,    16] loss: 0.048
[2,    21] loss: 0.243
[2,    26] loss: 0.304
[2,    31] loss: 0.021
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[3,     1] loss: 0.010
[3,     6] loss: 0.016
[3,    11] loss: 0.316
[3,    16] loss: 0.257
[3,    21] loss: 0.058
[3,    26] loss: 0.516
[3,    31] loss: 0.028
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[4,     1] loss: 0.025
[4,     6] loss: 0.312
[4,    11] loss: 0.027
[4,    16] loss: 0.017
[4,    21] loss: 0.398
[4,    26] loss: 0.049
[4,    31] loss: 0.025
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[5,     1] loss: 0.012
[5,     6] loss: 0.061
[5,    11] loss: 0.014
[5,    16] loss: 0.015
[5,    21] loss: 0.017
[5,    26] loss: 0.013
[5,    31] loss: 0.066
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[6,     1] loss: 0.034
[6,     6] loss: 0.034
[6,    11] loss: 0.028
[6,    16] loss: 0.018
[6,    21] loss: 0.059
[6,    26] loss: 0.240
[6,    31] loss: 0.248
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[7,     1] loss: 0.022
[7,     6] loss: 0.036
[7,    11] loss: 0.018
[7,    16] loss: 0.018
[7,    21] loss: 0.055
[7,    26] loss: 0.015
[7,    31] loss: 0.021
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[8,     1] loss: 0.236
[8,     6] loss: 0.017
[8,    11] loss: 0.015
[8,    16] loss: 0.019
[8,    21] loss: 0.032
[8,    26] loss: 0.032
[8,    31] loss: 0.048
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[9,     1] loss: 0.497
[9,     6] loss: 0.241
[9,    11] loss: 0.027
[9,    16] loss: 0.029
[9,    21] loss: 0.290
[9,    26] loss: 0.017
[9,    31] loss: 0.040
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[10,     1] loss: 0.035
[10,     6] loss: 0.244
[10,    11] loss: 0.270
[10,    16] loss: 1.085
[10,    21] loss: 0.432
[10,    26] loss: 0.037
[10,    31] loss: 0.014
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[11,     1] loss: 0.576
[11,     6] loss: 0.056
[11,    11] loss: 0.023
[11,    16] loss: 0.018
[11,    21] loss: 0.014
[11,    26] loss: 0.014
[11,    31] loss: 0.042
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[12,     1] loss: 0.258
[12,     6] loss: 0.256
[12,    11] loss: 0.543
[12,    16] loss: 0.524
[12,    21] loss: 0.243
[12,    26] loss: 0.243
[12,    31] loss: 0.034
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[13,     1] loss: 0.019
[13,     6] loss: 0.016
[13,    11] loss: 0.016
[13,    16] loss: 0.043
[13,    21] loss: 0.033
[13,    26] loss: 0.020
[13,    31] loss: 0.275
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[14,     1] loss: 0.229
[14,     6] loss: 0.032
[14,    11] loss: 0.014
[14,    16] loss: 0.274
[14,    21] loss: 0.240
[14,    26] loss: 0.029
[14,    31] loss: 0.496
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[15,     1] loss: 0.250
[15,     6] loss: 0.039
[15,    11] loss: 0.276
[15,    16] loss: 0.039
[15,    21] loss: 0.268
[15,    26] loss: 0.020
[15,    31] loss: 0.028
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[16,     1] loss: 0.438
[16,     6] loss: 0.240
[16,    11] loss: 0.038
[16,    16] loss: 0.254
[16,    21] loss: 0.237
[16,    26] loss: 0.043
[16,    31] loss: 0.016
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[17,     1] loss: 0.012
[17,     6] loss: 0.007
[17,    11] loss: 0.017
[17,    16] loss: 0.026
[17,    21] loss: 0.054
[17,    26] loss: 0.044
[17,    31] loss: 0.260
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[18,     1] loss: 0.020
[18,     6] loss: 0.265
[18,    11] loss: 0.018
[18,    16] loss: 0.016
[18,    21] loss: 0.025
[18,    26] loss: 0.239
[18,    31] loss: 0.044
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[19,     1] loss: 0.021
[19,     6] loss: 0.242
[19,    11] loss: 0.268
[19,    16] loss: 0.021
[19,    21] loss: 0.044
[19,    26] loss: 0.032
[19,    31] loss: 0.023
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[20,     1] loss: 0.256
[20,     6] loss: 0.034
[20,    11] loss: 0.026
[20,    16] loss: 0.265
[20,    21] loss: 0.014
[20,    26] loss: 0.029
[20,    31] loss: 0.233
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[21,     1] loss: 0.029
[21,     6] loss: 0.031
[21,    11] loss: 0.032
[21,    16] loss: 0.020
[21,    21] loss: 0.016
[21,    26] loss: 0.233
[21,    31] loss: 0.024
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[22,     1] loss: 0.493
[22,     6] loss: 0.033
[22,    11] loss: 0.253
[22,    16] loss: 0.016
[22,    21] loss: 0.254
[22,    26] loss: 0.030
[22,    31] loss: 0.043
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[23,     1] loss: 0.022
[23,     6] loss: 0.028
[23,    11] loss: 0.013
[23,    16] loss: 0.019
[23,    21] loss: 0.241
[23,    26] loss: 0.034
[23,    31] loss: 0.024
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[24,     1] loss: 0.033
[24,     6] loss: 0.021
[24,    11] loss: 0.232
[24,    16] loss: 0.054
[24,    21] loss: 0.044
[24,    26] loss: 0.024
[24,    31] loss: 0.029
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[25,     1] loss: 0.270
[25,     6] loss: 0.253
[25,    11] loss: 0.015
[25,    16] loss: 0.255
[25,    21] loss: 0.025
[25,    26] loss: 0.279
[25,    31] loss: 0.048
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[26,     1] loss: 0.033
[26,     6] loss: 0.015
[26,    11] loss: 0.521
[26,    16] loss: 0.037
[26,    21] loss: 0.022
[26,    26] loss: 0.029
[26,    31] loss: 0.251
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[27,     1] loss: 0.239
[27,     6] loss: 0.232
[27,    11] loss: 0.029
[27,    16] loss: 0.014
[27,    21] loss: 0.009
[27,    26] loss: 0.261
[27,    31] loss: 0.050
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[28,     1] loss: 0.038
[28,     6] loss: 0.029
[28,    11] loss: 0.029
[28,    16] loss: 0.256
[28,    21] loss: 0.029
[28,    26] loss: 0.273
[28,    31] loss: 0.021
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[29,     1] loss: 0.238
[29,     6] loss: 0.257
[29,    11] loss: 0.021
[29,    16] loss: 0.025
[29,    21] loss: 0.037
[29,    26] loss: 0.031
[29,    31] loss: 0.031
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[30,     1] loss: 0.026
[30,     6] loss: 0.018
[30,    11] loss: 0.264
[30,    16] loss: 0.258
[30,    21] loss: 0.019
[30,    26] loss: 0.024
[30,    31] loss: 0.036
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[31,     1] loss: 0.040
[31,     6] loss: 0.016
[31,    11] loss: 0.015
[31,    16] loss: 0.043
[31,    21] loss: 0.024
[31,    26] loss: 0.277
[31,    31] loss: 0.059
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[32,     1] loss: 0.258
[32,     6] loss: 0.027
[32,    11] loss: 0.551
[32,    16] loss: 0.036
[32,    21] loss: 0.014
[32,    26] loss: 0.044
[32,    31] loss: 0.021
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[33,     1] loss: 0.012
[33,     6] loss: 0.013
[33,    11] loss: 0.017
[33,    16] loss: 0.028
[33,    21] loss: 0.029
[33,    26] loss: 0.026
[33,    31] loss: 0.029
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[34,     1] loss: 0.054
[34,     6] loss: 0.049
[34,    11] loss: 0.242
[34,    16] loss: 0.026
[34,    21] loss: 0.012
[34,    26] loss: 0.540
[34,    31] loss: 0.033
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[35,     1] loss: 0.245
[35,     6] loss: 0.025
[35,    11] loss: 0.020
[35,    16] loss: 0.260
[35,    21] loss: 0.024
[35,    26] loss: 0.023
[35,    31] loss: 0.027
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[36,     1] loss: 0.239
[36,     6] loss: 0.019
[36,    11] loss: 0.036
[36,    16] loss: 0.016
[36,    21] loss: 0.034
[36,    26] loss: 0.021
[36,    31] loss: 0.031
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[37,     1] loss: 0.428
[37,     6] loss: 0.037
[37,    11] loss: 0.025
[37,    16] loss: 0.020
[37,    21] loss: 0.019
[37,    26] loss: 0.260
[37,    31] loss: 0.045
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[38,     1] loss: 0.035
[38,     6] loss: 0.029
[38,    11] loss: 0.246
[38,    16] loss: 0.267
[38,    21] loss: 0.038
[38,    26] loss: 0.260
[38,    31] loss: 0.246
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[39,     1] loss: 0.261
[39,     6] loss: 0.016
[39,    11] loss: 0.015
[39,    16] loss: 0.009
[39,    21] loss: 0.026
[39,    26] loss: 0.245
[39,    31] loss: 0.064
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[40,     1] loss: 0.239
[40,     6] loss: 0.018
[40,    11] loss: 0.032
[40,    16] loss: 0.252
[40,    21] loss: 0.048
[40,    26] loss: 0.027
[40,    31] loss: 0.024
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[41,     1] loss: 0.248
[41,     6] loss: 0.029
[41,    11] loss: 0.277
[41,    16] loss: 0.037
[41,    21] loss: 0.241
[41,    26] loss: 0.041
[41,    31] loss: 0.025
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[42,     1] loss: 0.016
[42,     6] loss: 0.036
[42,    11] loss: 0.033
[42,    16] loss: 0.026
[42,    21] loss: 0.013
[42,    26] loss: 0.048
[42,    31] loss: 0.024
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[43,     1] loss: 0.024
[43,     6] loss: 0.049
[43,    11] loss: 0.051
[43,    16] loss: 0.264
[43,    21] loss: 0.025
[43,    26] loss: 0.013
[43,    31] loss: 0.018
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[44,     1] loss: 0.258
[44,     6] loss: 0.237
[44,    11] loss: 0.235
[44,    16] loss: 0.022
[44,    21] loss: 0.025
[44,    26] loss: 0.013
[44,    31] loss: 0.013
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[45,     1] loss: 0.250
[45,     6] loss: 0.023
[45,    11] loss: 0.281
[45,    16] loss: 0.250
[45,    21] loss: 0.048
[45,    26] loss: 0.036
[45,    31] loss: 0.262
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[46,     1] loss: 0.027
[46,     6] loss: 0.014
[46,    11] loss: 0.014
[46,    16] loss: 0.028
[46,    21] loss: 0.019
[46,    26] loss: 0.487
[46,    31] loss: 0.035
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[47,     1] loss: 0.038
[47,     6] loss: 0.035
[47,    11] loss: 0.033
[47,    16] loss: 0.022
[47,    21] loss: 0.018
[47,    26] loss: 0.249
[47,    31] loss: 0.023
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[48,     1] loss: 0.035
[48,     6] loss: 0.025
[48,    11] loss: 0.283
[48,    16] loss: 0.013
[48,    21] loss: 0.021
[48,    26] loss: 0.239
[48,    31] loss: 0.068
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[49,     1] loss: 0.040
[49,     6] loss: 0.032
[49,    11] loss: 0.014
[49,    16] loss: 0.252
[49,    21] loss: 0.241
[49,    26] loss: 0.025
[49,    31] loss: 0.236
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[50,     1] loss: 0.025
[50,     6] loss: 0.030
[50,    11] loss: 0.036
[50,    16] loss: 0.035
[50,    21] loss: 0.033
[50,    26] loss: 0.263
[50,    31] loss: 0.029
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[51,     1] loss: 0.267
[51,     6] loss: 0.247
[51,    11] loss: 0.018
[51,    16] loss: 0.234
[51,    21] loss: 0.021
[51,    26] loss: 0.273
[51,    31] loss: 0.020
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[52,     1] loss: 0.249
[52,     6] loss: 0.256
[52,    11] loss: 0.023
[52,    16] loss: 0.265
[52,    21] loss: 0.236
[52,    26] loss: 0.021
[52,    31] loss: 0.257
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[53,     1] loss: 0.019
[53,     6] loss: 0.011
[53,    11] loss: 0.019
[53,    16] loss: 0.034
[53,    21] loss: 0.230
[53,    26] loss: 0.046
[53,    31] loss: 0.025
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[54,     1] loss: 0.016
[54,     6] loss: 0.016
[54,    11] loss: 0.010
[54,    16] loss: 0.261
[54,    21] loss: 0.446
[54,    26] loss: 0.052
[54,    31] loss: 0.019
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[55,     1] loss: 0.023
[55,     6] loss: 0.271
[55,    11] loss: 0.042
[55,    16] loss: 0.018
[55,    21] loss: 0.021
[55,    26] loss: 0.019
[55,    31] loss: 0.051
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[56,     1] loss: 0.041
[56,     6] loss: 0.028
[56,    11] loss: 0.014
[56,    16] loss: 0.022
[56,    21] loss: 0.429
[56,    26] loss: 0.049
[56,    31] loss: 0.268
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[57,     1] loss: 0.511
[57,     6] loss: 0.243
[57,    11] loss: 0.016
[57,    16] loss: 0.868
[57,    21] loss: 0.451
[57,    26] loss: 0.248
[57,    31] loss: 0.029
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[58,     1] loss: 0.017
[58,     6] loss: 0.011
[58,    11] loss: 0.062
[58,    16] loss: 0.022
[58,    21] loss: 0.026
[58,    26] loss: 0.243
[58,    31] loss: 0.023
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[59,     1] loss: 0.025
[59,     6] loss: 0.030
[59,    11] loss: 0.073
[59,    16] loss: 0.025
[59,    21] loss: 0.020
[59,    26] loss: 0.011
[59,    31] loss: 0.265
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[60,     1] loss: 0.037
[60,     6] loss: 0.027
[60,    11] loss: 0.014
[60,    16] loss: 0.018
[60,    21] loss: 0.231
[60,    26] loss: 0.244
[60,    31] loss: 0.043
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_box_on_top
733
21
CONCEPT SAMPLE COUNT concept_box_on_top 21 733
527 227
[1,     1] loss: 0.683
[1,     6] loss: 0.000
[1,    11] loss: 0.475
[1,    16] loss: 0.285
[1,    21] loss: 0.014
[1,    26] loss: 0.316
[1,    31] loss: 0.067
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[2,     1] loss: 0.005
[2,     6] loss: 0.016
[2,    11] loss: 0.003
[2,    16] loss: 0.250
[2,    21] loss: 0.008
[2,    26] loss: 0.008
[2,    31] loss: 0.604
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[3,     1] loss: 0.233
[3,     6] loss: 0.044
[3,    11] loss: 0.477
[3,    16] loss: 0.026
[3,    21] loss: 0.013
[3,    26] loss: 0.302
[3,    31] loss: 0.593
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[4,     1] loss: 0.257
[4,     6] loss: 0.037
[4,    11] loss: 0.067
[4,    16] loss: 0.324
[4,    21] loss: 0.055
[4,    26] loss: 0.283
[4,    31] loss: 0.260
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[5,     1] loss: 0.048
[5,     6] loss: 0.400
[5,    11] loss: 0.027
[5,    16] loss: 0.029
[5,    21] loss: 0.248
[5,    26] loss: 0.252
[5,    31] loss: 0.043
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[6,     1] loss: 0.012
[6,     6] loss: 0.274
[6,    11] loss: 0.299
[6,    16] loss: 0.285
[6,    21] loss: 0.013
[6,    26] loss: 0.041
[6,    31] loss: 0.048
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[7,     1] loss: 0.027
[7,     6] loss: 0.570
[7,    11] loss: 0.284
[7,    16] loss: 0.259
[7,    21] loss: 0.239
[7,    26] loss: 0.026
[7,    31] loss: 0.029
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[8,     1] loss: 0.275
[8,     6] loss: 0.015
[8,    11] loss: 0.148
[8,    16] loss: 0.010
[8,    21] loss: 0.018
[8,    26] loss: 0.243
[8,    31] loss: 0.049
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[9,     1] loss: 0.506
[9,     6] loss: 0.046
[9,    11] loss: 0.028
[9,    16] loss: 0.017
[9,    21] loss: 0.239
[9,    26] loss: 0.013
[9,    31] loss: 0.004
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[10,     1] loss: 0.036
[10,     6] loss: 0.239
[10,    11] loss: 0.032
[10,    16] loss: 0.231
[10,    21] loss: 0.032
[10,    26] loss: 0.026
[10,    31] loss: 0.031
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[11,     1] loss: 0.051
[11,     6] loss: 0.022
[11,    11] loss: 0.244
[11,    16] loss: 0.038
[11,    21] loss: 0.016
[11,    26] loss: 0.032
[11,    31] loss: 0.235
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[12,     1] loss: 0.463
[12,     6] loss: 0.262
[12,    11] loss: 0.284
[12,    16] loss: 0.018
[12,    21] loss: 0.318
[12,    26] loss: 0.051
[12,    31] loss: 0.247
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[13,     1] loss: 0.078
[13,     6] loss: 0.039
[13,    11] loss: 0.075
[13,    16] loss: 0.015
[13,    21] loss: 0.270
[13,    26] loss: 0.253
[13,    31] loss: 0.264
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[14,     1] loss: 0.285
[14,     6] loss: 0.020
[14,    11] loss: 0.457
[14,    16] loss: 0.025
[14,    21] loss: 0.009
[14,    26] loss: 0.237
[14,    31] loss: 0.047
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[15,     1] loss: 0.038
[15,     6] loss: 0.477
[15,    11] loss: 0.065
[15,    16] loss: 0.019
[15,    21] loss: 0.043
[15,    26] loss: 0.043
[15,    31] loss: 0.021
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[16,     1] loss: 0.027
[16,     6] loss: 0.459
[16,    11] loss: 0.231
[16,    16] loss: 0.038
[16,    21] loss: 0.019
[16,    26] loss: 0.056
[16,    31] loss: 0.029
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[17,     1] loss: 0.505
[17,     6] loss: 0.524
[17,    11] loss: 0.237
[17,    16] loss: 0.025
[17,    21] loss: 0.029
[17,    26] loss: 0.018
[17,    31] loss: 0.280
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[18,     1] loss: 0.016
[18,     6] loss: 0.033
[18,    11] loss: 0.233
[18,    16] loss: 0.025
[18,    21] loss: 0.043
[18,    26] loss: 0.093
[18,    31] loss: 0.020
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[19,     1] loss: 0.694
[19,     6] loss: 0.044
[19,    11] loss: 0.014
[19,    16] loss: 0.038
[19,    21] loss: 0.050
[19,    26] loss: 0.068
[19,    31] loss: 0.028
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[20,     1] loss: 0.241
[20,     6] loss: 0.030
[20,    11] loss: 0.018
[20,    16] loss: 0.031
[20,    21] loss: 0.019
[20,    26] loss: 0.268
[20,    31] loss: 0.240
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[21,     1] loss: 0.095
[21,     6] loss: 0.464
[21,    11] loss: 0.046
[21,    16] loss: 0.039
[21,    21] loss: 0.033
[21,    26] loss: 0.019
[21,    31] loss: 0.065
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[22,     1] loss: 0.433
[22,     6] loss: 0.028
[22,    11] loss: 0.262
[22,    16] loss: 0.746
[22,    21] loss: 0.251
[22,    26] loss: 0.539
[22,    31] loss: 0.031
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[23,     1] loss: 0.671
[23,     6] loss: 0.231
[23,    11] loss: 0.031
[23,    16] loss: 0.263
[23,    21] loss: 0.254
[23,    26] loss: 0.024
[23,    31] loss: 0.019
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[24,     1] loss: 0.535
[24,     6] loss: 0.041
[24,    11] loss: 0.040
[24,    16] loss: 0.027
[24,    21] loss: 0.012
[24,    26] loss: 0.057
[24,    31] loss: 0.023
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[25,     1] loss: 0.278
[25,     6] loss: 0.287
[25,    11] loss: 0.031
[25,    16] loss: 0.028
[25,    21] loss: 0.050
[25,    26] loss: 0.450
[25,    31] loss: 0.035
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[26,     1] loss: 0.032
[26,     6] loss: 0.261
[26,    11] loss: 0.027
[26,    16] loss: 0.276
[26,    21] loss: 0.042
[26,    26] loss: 0.016
[26,    31] loss: 0.058
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[27,     1] loss: 0.063
[27,     6] loss: 0.025
[27,    11] loss: 0.237
[27,    16] loss: 0.034
[27,    21] loss: 0.029
[27,    26] loss: 0.254
[27,    31] loss: 0.470
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[28,     1] loss: 0.029
[28,     6] loss: 0.033
[28,    11] loss: 0.013
[28,    16] loss: 0.021
[28,    21] loss: 0.011
[28,    26] loss: 0.236
[28,    31] loss: 0.260
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[29,     1] loss: 0.227
[29,     6] loss: 0.246
[29,    11] loss: 0.041
[29,    16] loss: 0.020
[29,    21] loss: 0.389
[29,    26] loss: 0.220
[29,    31] loss: 0.019
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[30,     1] loss: 0.024
[30,     6] loss: 0.271
[30,    11] loss: 0.246
[30,    16] loss: 0.280
[30,    21] loss: 0.222
[30,    26] loss: 0.247
[30,    31] loss: 0.022
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[31,     1] loss: 0.024
[31,     6] loss: 0.010
[31,    11] loss: 0.340
[31,    16] loss: 0.255
[31,    21] loss: 0.057
[31,    26] loss: 0.041
[31,    31] loss: 0.512
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[32,     1] loss: 0.235
[32,     6] loss: 0.052
[32,    11] loss: 0.445
[32,    16] loss: 0.028
[32,    21] loss: 0.027
[32,    26] loss: 0.036
[32,    31] loss: 0.259
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[33,     1] loss: 0.047
[33,     6] loss: 0.029
[33,    11] loss: 0.052
[33,    16] loss: 0.260
[33,    21] loss: 0.234
[33,    26] loss: 0.021
[33,    31] loss: 0.027
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[34,     1] loss: 0.036
[34,     6] loss: 0.259
[34,    11] loss: 0.021
[34,    16] loss: 0.030
[34,    21] loss: 0.296
[34,    26] loss: 0.284
[34,    31] loss: 0.240
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[35,     1] loss: 0.066
[35,     6] loss: 0.037
[35,    11] loss: 0.026
[35,    16] loss: 0.421
[35,    21] loss: 0.234
[35,    26] loss: 0.025
[35,    31] loss: 0.463
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[36,     1] loss: 0.033
[36,     6] loss: 0.267
[36,    11] loss: 0.019
[36,    16] loss: 0.258
[36,    21] loss: 0.274
[36,    26] loss: 0.232
[36,    31] loss: 0.039
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[37,     1] loss: 0.036
[37,     6] loss: 0.046
[37,    11] loss: 0.034
[37,    16] loss: 0.056
[37,    21] loss: 0.246
[37,    26] loss: 0.038
[37,    31] loss: 0.032
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[38,     1] loss: 0.264
[38,     6] loss: 0.023
[38,    11] loss: 0.251
[38,    16] loss: 0.416
[38,    21] loss: 0.035
[38,    26] loss: 0.247
[38,    31] loss: 0.245
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[39,     1] loss: 0.021
[39,     6] loss: 0.280
[39,    11] loss: 0.415
[39,    16] loss: 0.046
[39,    21] loss: 0.057
[39,    26] loss: 0.030
[39,    31] loss: 0.013
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[40,     1] loss: 0.009
[40,     6] loss: 0.012
[40,    11] loss: 0.291
[40,    16] loss: 0.033
[40,    21] loss: 0.240
[40,    26] loss: 0.244
[40,    31] loss: 0.045
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[41,     1] loss: 0.241
[41,     6] loss: 0.038
[41,    11] loss: 0.047
[41,    16] loss: 0.037
[41,    21] loss: 0.026
[41,    26] loss: 0.242
[41,    31] loss: 0.025
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[42,     1] loss: 0.039
[42,     6] loss: 0.247
[42,    11] loss: 0.234
[42,    16] loss: 0.035
[42,    21] loss: 0.017
[42,    26] loss: 0.260
[42,    31] loss: 0.250
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[43,     1] loss: 0.475
[43,     6] loss: 0.225
[43,    11] loss: 0.253
[43,    16] loss: 0.075
[43,    21] loss: 0.027
[43,    26] loss: 0.272
[43,    31] loss: 0.021
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[44,     1] loss: 0.033
[44,     6] loss: 0.035
[44,    11] loss: 0.030
[44,    16] loss: 0.047
[44,    21] loss: 0.469
[44,    26] loss: 0.229
[44,    31] loss: 0.021
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[45,     1] loss: 0.021
[45,     6] loss: 0.011
[45,    11] loss: 0.262
[45,    16] loss: 0.019
[45,    21] loss: 0.043
[45,    26] loss: 0.033
[45,    31] loss: 0.033
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[46,     1] loss: 0.048
[46,     6] loss: 0.048
[46,    11] loss: 0.257
[46,    16] loss: 0.251
[46,    21] loss: 0.035
[46,    26] loss: 0.019
[46,    31] loss: 0.025
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[47,     1] loss: 0.059
[47,     6] loss: 0.046
[47,    11] loss: 0.042
[47,    16] loss: 0.049
[47,    21] loss: 0.026
[47,    26] loss: 0.042
[47,    31] loss: 0.034
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[48,     1] loss: 0.022
[48,     6] loss: 0.036
[48,    11] loss: 0.255
[48,    16] loss: 0.052
[48,    21] loss: 0.031
[48,    26] loss: 0.028
[48,    31] loss: 0.034
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[49,     1] loss: 0.020
[49,     6] loss: 0.038
[49,    11] loss: 0.018
[49,    16] loss: 0.418
[49,    21] loss: 0.261
[49,    26] loss: 0.020
[49,    31] loss: 0.255
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[50,     1] loss: 0.241
[50,     6] loss: 0.045
[50,    11] loss: 0.033
[50,    16] loss: 0.020
[50,    21] loss: 0.246
[50,    26] loss: 0.028
[50,    31] loss: 0.022
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[51,     1] loss: 0.032
[51,     6] loss: 0.252
[51,    11] loss: 0.244
[51,    16] loss: 0.021
[51,    21] loss: 0.447
[51,    26] loss: 0.228
[51,    31] loss: 0.031
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[52,     1] loss: 0.265
[52,     6] loss: 0.024
[52,    11] loss: 0.239
[52,    16] loss: 0.500
[52,    21] loss: 0.028
[52,    26] loss: 0.243
[52,    31] loss: 0.025
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[53,     1] loss: 0.024
[53,     6] loss: 0.249
[53,    11] loss: 0.050
[53,    16] loss: 0.047
[53,    21] loss: 0.036
[53,    26] loss: 0.044
[53,    31] loss: 0.026
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[54,     1] loss: 0.017
[54,     6] loss: 0.022
[54,    11] loss: 0.253
[54,    16] loss: 0.261
[54,    21] loss: 0.044
[54,    26] loss: 0.041
[54,    31] loss: 0.024
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[55,     1] loss: 0.025
[55,     6] loss: 0.014
[55,    11] loss: 0.024
[55,    16] loss: 0.239
[55,    21] loss: 0.231
[55,    26] loss: 0.253
[55,    31] loss: 0.035
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[56,     1] loss: 0.275
[56,     6] loss: 0.025
[56,    11] loss: 0.056
[56,    16] loss: 0.031
[56,    21] loss: 0.263
[56,    26] loss: 0.016
[56,    31] loss: 0.247
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[57,     1] loss: 0.231
[57,     6] loss: 0.031
[57,    11] loss: 0.022
[57,    16] loss: 0.244
[57,    21] loss: 0.240
[57,    26] loss: 0.240
[57,    31] loss: 0.029
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[58,     1] loss: 0.017
[58,     6] loss: 0.017
[58,    11] loss: 0.040
[58,    16] loss: 0.259
[58,    21] loss: 0.019
[58,    26] loss: 0.235
[58,    31] loss: 0.045
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[59,     1] loss: 0.457
[59,     6] loss: 0.252
[59,    11] loss: 0.045
[59,    16] loss: 0.034
[59,    21] loss: 0.037
[59,    26] loss: 0.033
[59,    31] loss: 0.018
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[60,     1] loss: 0.013
[60,     6] loss: 0.251
[60,    11] loss: 0.030
[60,    16] loss: 0.248
[60,    21] loss: 0.027
[60,    26] loss: 0.245
[60,    31] loss: 0.248
[[221   0]
 [  6   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_no_pink_cell_below_m
187
567
CONCEPT SAMPLE COUNT concept_no_pink_cell_below_m 567 187
527 227
[1,     1] loss: 0.794
[1,     6] loss: 1.337
[1,    11] loss: 0.547
[1,    16] loss: 0.811
[1,    21] loss: 0.591
[1,    26] loss: 0.473
[1,    31] loss: 0.558
[[  0  58]
 [  0 169]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 74 %
[2,     1] loss: 0.634
[2,     6] loss: 0.294
[2,    11] loss: 0.041
[2,    16] loss: 0.019
[2,    21] loss: 0.003
[2,    26] loss: 0.001
[2,    31] loss: 0.004
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[3,     1] loss: 0.004
[3,     6] loss: 0.001
[3,    11] loss: 0.002
[3,    16] loss: 0.003
[3,    21] loss: 0.011
[3,    26] loss: 0.001
[3,    31] loss: 0.000
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[4,     1] loss: 0.002
[4,     6] loss: 0.001
[4,    11] loss: 0.000
[4,    16] loss: 0.001
[4,    21] loss: 0.210
[4,    26] loss: 0.196
[4,    31] loss: 0.072
[[ 51   7]
 [  0 169]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[5,     1] loss: 0.054
[5,     6] loss: 0.004
[5,    11] loss: 0.002
[5,    16] loss: 0.276
[5,    21] loss: 0.004
[5,    26] loss: 0.005
[5,    31] loss: 0.013
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[6,     1] loss: 0.002
[6,     6] loss: 0.002
[6,    11] loss: 0.002
[6,    16] loss: 0.001
[6,    21] loss: 0.004
[6,    26] loss: 0.006
[6,    31] loss: 0.002
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[7,     1] loss: 0.001
[7,     6] loss: 0.002
[7,    11] loss: 0.001
[7,    16] loss: 0.001
[7,    21] loss: 0.002
[7,    26] loss: 0.003
[7,    31] loss: 0.005
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[8,     1] loss: 0.003
[8,     6] loss: 0.013
[8,    11] loss: 0.008
[8,    16] loss: 0.001
[8,    21] loss: 0.001
[8,    26] loss: 0.001
[8,    31] loss: 0.060
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[9,     1] loss: 0.017
[9,     6] loss: 0.002
[9,    11] loss: 0.001
[9,    16] loss: 0.001
[9,    21] loss: 0.001
[9,    26] loss: 0.030
[9,    31] loss: 0.016
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[10,     1] loss: 0.001
[10,     6] loss: 0.002
[10,    11] loss: 0.023
[10,    16] loss: 0.001
[10,    21] loss: 0.001
[10,    26] loss: 0.001
[10,    31] loss: 0.003
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[11,     1] loss: 0.001
[11,     6] loss: 0.003
[11,    11] loss: 0.002
[11,    16] loss: 0.001
[11,    21] loss: 0.002
[11,    26] loss: 0.010
[11,    31] loss: 0.003
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[12,     1] loss: 0.007
[12,     6] loss: 0.004
[12,    11] loss: 0.017
[12,    16] loss: 0.003
[12,    21] loss: 0.002
[12,    26] loss: 0.001
[12,    31] loss: 0.009
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[13,     1] loss: 0.001
[13,     6] loss: 0.000
[13,    11] loss: 0.001
[13,    16] loss: 0.002
[13,    21] loss: 0.004
[13,    26] loss: 0.008
[13,    31] loss: 0.000
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[14,     1] loss: 0.001
[14,     6] loss: 0.001
[14,    11] loss: 0.259
[14,    16] loss: 0.006
[14,    21] loss: 0.015
[14,    26] loss: 0.002
[14,    31] loss: 0.006
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[15,     1] loss: 0.005
[15,     6] loss: 0.019
[15,    11] loss: 0.013
[15,    16] loss: 0.004
[15,    21] loss: 0.001
[15,    26] loss: 0.002
[15,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[16,     1] loss: 0.001
[16,     6] loss: 0.003
[16,    11] loss: 0.003
[16,    16] loss: 0.016
[16,    21] loss: 0.002
[16,    26] loss: 0.008
[16,    31] loss: 0.002
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[17,     1] loss: 0.001
[17,     6] loss: 0.001
[17,    11] loss: 0.001
[17,    16] loss: 0.002
[17,    21] loss: 0.004
[17,    26] loss: 0.001
[17,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[18,     1] loss: 0.001
[18,     6] loss: 0.001
[18,    11] loss: 0.001
[18,    16] loss: 0.015
[18,    21] loss: 0.007
[18,    26] loss: 0.002
[18,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[19,     1] loss: 0.186
[19,     6] loss: 0.002
[19,    11] loss: 0.002
[19,    16] loss: 0.002
[19,    21] loss: 0.001
[19,    26] loss: 0.001
[19,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[20,     1] loss: 0.003
[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: 0.030
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[21,     1] loss: 0.002
[21,     6] loss: 0.003
[21,    11] loss: 0.011
[21,    16] loss: 0.002
[21,    21] loss: 0.001
[21,    26] loss: 0.004
[21,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[22,     1] loss: 0.003
[22,     6] loss: 0.003
[22,    11] loss: 0.001
[22,    16] loss: 0.001
[22,    21] loss: 0.002
[22,    26] loss: 0.001
[22,    31] loss: 0.001
[[ 52   6]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[23,     1] loss: 0.055
[23,     6] loss: 0.405
[23,    11] loss: 0.060
[23,    16] loss: 0.031
[23,    21] loss: 0.016
[23,    26] loss: 0.003
[23,    31] loss: 0.003
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[24,     1] loss: 0.002
[24,     6] loss: 0.002
[24,    11] loss: 0.075
[24,    16] loss: 0.011
[24,    21] loss: 0.006
[24,    26] loss: 0.007
[24,    31] loss: 0.006
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[25,     1] loss: 0.005
[25,     6] loss: 0.003
[25,    11] loss: 0.005
[25,    16] loss: 0.016
[25,    21] loss: 0.002
[25,    26] loss: 0.002
[25,    31] loss: 0.002
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[26,     1] loss: 0.003
[26,     6] loss: 0.005
[26,    11] loss: 0.003
[26,    16] loss: 0.002
[26,    21] loss: 0.002
[26,    26] loss: 0.003
[26,    31] loss: 0.006
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[27,     1] loss: 0.001
[27,     6] loss: 0.002
[27,    11] loss: 0.002
[27,    16] loss: 0.004
[27,    21] loss: 0.001
[27,    26] loss: 0.003
[27,    31] loss: 0.002
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[28,     1] loss: 0.004
[28,     6] loss: 0.003
[28,    11] loss: 0.006
[28,    16] loss: 0.003
[28,    21] loss: 0.002
[28,    26] loss: 0.002
[28,    31] loss: 0.006
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[29,     1] loss: 0.004
[29,     6] loss: 0.001
[29,    11] loss: 0.001
[29,    16] loss: 0.011
[29,    21] loss: 0.003
[29,    26] loss: 0.005
[29,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[30,     1] loss: 0.002
[30,     6] loss: 0.001
[30,    11] loss: 0.002
[30,    16] loss: 0.002
[30,    21] loss: 0.010
[30,    26] loss: 0.009
[30,    31] loss: 0.007
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[31,     1] loss: 0.002
[31,     6] loss: 0.002
[31,    11] loss: 0.012
[31,    16] loss: 0.008
[31,    21] loss: 0.002
[31,    26] loss: 0.006
[31,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[32,     1] loss: 0.002
[32,     6] loss: 0.015
[32,    11] loss: 0.001
[32,    16] loss: 0.005
[32,    21] loss: 0.001
[32,    26] loss: 0.008
[32,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[33,     1] loss: 0.004
[33,     6] loss: 0.001
[33,    11] loss: 0.003
[33,    16] loss: 0.010
[33,    21] loss: 0.001
[33,    26] loss: 0.002
[33,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[34,     1] loss: 0.001
[34,     6] loss: 0.002
[34,    11] loss: 0.001
[34,    16] loss: 0.215
[34,    21] loss: 0.002
[34,    26] loss: 0.001
[34,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[35,     1] loss: 0.006
[35,     6] loss: 0.002
[35,    11] loss: 0.005
[35,    16] loss: 0.002
[35,    21] loss: 0.002
[35,    26] loss: 0.210
[35,    31] loss: 0.016
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[36,     1] loss: 0.001
[36,     6] loss: 0.001
[36,    11] loss: 0.006
[36,    16] loss: 0.001
[36,    21] loss: 0.003
[36,    26] loss: 0.016
[36,    31] loss: 0.002
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[37,     1] loss: 0.001
[37,     6] loss: 0.002
[37,    11] loss: 0.002
[37,    16] loss: 0.001
[37,    21] loss: 0.001
[37,    26] loss: 0.001
[37,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[38,     1] loss: 0.003
[38,     6] loss: 0.204
[38,    11] loss: 0.017
[38,    16] loss: 0.002
[38,    21] loss: 0.001
[38,    26] loss: 0.004
[38,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[39,     1] loss: 0.005
[39,     6] loss: 0.002
[39,    11] loss: 0.001
[39,    16] loss: 0.239
[39,    21] loss: 0.006
[39,    26] loss: 0.005
[39,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[40,     1] loss: 0.001
[40,     6] loss: 0.001
[40,    11] loss: 0.001
[40,    16] loss: 0.002
[40,    21] loss: 0.003
[40,    26] loss: 0.021
[40,    31] loss: 0.002
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[41,     1] loss: 0.001
[41,     6] loss: 0.003
[41,    11] loss: 0.008
[41,    16] loss: 0.001
[41,    21] loss: 0.002
[41,    26] loss: 0.008
[41,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[42,     1] loss: 0.001
[42,     6] loss: 0.001
[42,    11] loss: 0.213
[42,    16] loss: 0.002
[42,    21] loss: 0.001
[42,    26] loss: 0.005
[42,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[43,     1] loss: 0.001
[43,     6] loss: 0.001
[43,    11] loss: 0.001
[43,    16] loss: 0.001
[43,    21] loss: 0.003
[43,    26] loss: 0.004
[43,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[44,     1] loss: 0.001
[44,     6] loss: 0.001
[44,    11] loss: 0.004
[44,    16] loss: 0.001
[44,    21] loss: 0.001
[44,    26] loss: 0.001
[44,    31] loss: 0.008
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[45,     1] loss: 0.001
[45,     6] loss: 0.001
[45,    11] loss: 0.001
[45,    16] loss: 0.001
[45,    21] loss: 0.005
[45,    26] loss: 0.001
[45,    31] loss: 0.003
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[46,     1] loss: 0.003
[46,     6] loss: 0.001
[46,    11] loss: 0.001
[46,    16] loss: 0.003
[46,    21] loss: 0.001
[46,    26] loss: 0.001
[46,    31] loss: 0.002
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[47,     1] loss: 0.003
[47,     6] loss: 0.002
[47,    11] loss: 0.002
[47,    16] loss: 0.004
[47,    21] loss: 0.014
[47,    26] loss: 0.002
[47,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[48,     1] loss: 0.005
[48,     6] loss: 0.000
[48,    11] loss: 0.002
[48,    16] loss: 0.002
[48,    21] loss: 0.001
[48,    26] loss: 0.001
[48,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[49,     1] loss: 0.004
[49,     6] loss: 0.001
[49,    11] loss: 0.002
[49,    16] loss: 0.011
[49,    21] loss: 0.010
[49,    26] loss: 0.005
[49,    31] loss: 0.005
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[50,     1] loss: 0.001
[50,     6] loss: 0.000
[50,    11] loss: 0.003
[50,    16] loss: 0.003
[50,    21] loss: 0.017
[50,    26] loss: 0.001
[50,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[51,     1] loss: 0.001
[51,     6] loss: 0.001
[51,    11] loss: 0.001
[51,    16] loss: 0.036
[51,    21] loss: 0.002
[51,    26] loss: 0.001
[51,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[52,     1] loss: 0.001
[52,     6] loss: 0.000
[52,    11] loss: 0.002
[52,    16] loss: 0.008
[52,    21] loss: 0.002
[52,    26] loss: 0.005
[52,    31] loss: 0.004
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[53,     1] loss: 0.004
[53,     6] loss: 0.002
[53,    11] loss: 0.001
[53,    16] loss: 0.002
[53,    21] loss: 0.021
[53,    26] loss: 0.008
[53,    31] loss: 0.002
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[54,     1] loss: 0.001
[54,     6] loss: 0.001
[54,    11] loss: 0.004
[54,    16] loss: 0.003
[54,    21] loss: 0.001
[54,    26] loss: 0.002
[54,    31] loss: 0.215
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[55,     1] loss: 0.002
[55,     6] loss: 0.007
[55,    11] loss: 0.002
[55,    16] loss: 0.001
[55,    21] loss: 0.007
[55,    26] loss: 0.001
[55,    31] loss: 0.025
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[56,     1] loss: 0.002
[56,     6] loss: 0.002
[56,    11] loss: 0.002
[56,    16] loss: 0.008
[56,    21] loss: 0.001
[56,    26] loss: 0.003
[56,    31] loss: 0.013
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[57,     1] loss: 0.002
[57,     6] loss: 0.002
[57,    11] loss: 0.005
[57,    16] loss: 0.001
[57,    21] loss: 0.001
[57,    26] loss: 0.004
[57,    31] loss: 0.200
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[58,     1] loss: 0.008
[58,     6] loss: 0.056
[58,    11] loss: 0.003
[58,    16] loss: 0.004
[58,    21] loss: 0.002
[58,    26] loss: 0.006
[58,    31] loss: 0.001
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[59,     1] loss: 0.001
[59,     6] loss: 0.001
[59,    11] loss: 0.003
[59,    16] loss: 0.010
[59,    21] loss: 0.001
[59,    26] loss: 0.001
[59,    31] loss: 0.002
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[60,     1] loss: 0.004
[60,     6] loss: 0.001
[60,    11] loss: 0.001
[60,    16] loss: 0.185
[60,    21] loss: 0.002
[60,    26] loss: 0.005
[60,    31] loss: 0.006
[[ 58   0]
 [  1 168]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_no_pink_cell_on_top_m
181
573
CONCEPT SAMPLE COUNT concept_no_pink_cell_on_top_m 573 181
527 227
[1,     1] loss: 0.720
[1,     6] loss: 0.684
[1,    11] loss: 0.616
[1,    16] loss: 0.619
[1,    21] loss: 0.661
[1,    26] loss: 0.479
[1,    31] loss: 0.556
[[  0  64]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 71 %
[2,     1] loss: 0.440
[2,     6] loss: 0.299
[2,    11] loss: 0.124
[2,    16] loss: 0.019
[2,    21] loss: 0.003
[2,    26] loss: 0.005
[2,    31] loss: 0.006
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[3,     1] loss: 0.002
[3,     6] loss: 0.005
[3,    11] loss: 0.003
[3,    16] loss: 0.036
[3,    21] loss: 0.119
[3,    26] loss: 0.003
[3,    31] loss: 0.002
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.003
[4,     6] loss: 0.006
[4,    11] loss: 0.286
[4,    16] loss: 0.005
[4,    21] loss: 0.001
[4,    26] loss: 0.004
[4,    31] loss: 0.002
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.002
[5,     6] loss: 0.002
[5,    11] loss: 0.006
[5,    16] loss: 0.002
[5,    21] loss: 0.002
[5,    26] loss: 0.002
[5,    31] loss: 0.012
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.006
[6,     6] loss: 0.002
[6,    11] loss: 0.013
[6,    16] loss: 0.049
[6,    21] loss: 0.005
[6,    26] loss: 0.010
[6,    31] loss: 0.004
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.004
[7,     6] loss: 0.005
[7,    11] loss: 0.008
[7,    16] loss: 0.002
[7,    21] loss: 0.210
[7,    26] loss: 0.014
[7,    31] loss: 0.006
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.003
[8,     6] loss: 0.001
[8,    11] loss: 0.264
[8,    16] loss: 0.013
[8,    21] loss: 0.004
[8,    26] loss: 0.275
[8,    31] loss: 0.014
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.010
[9,     6] loss: 0.004
[9,    11] loss: 0.006
[9,    16] loss: 0.004
[9,    21] loss: 0.003
[9,    26] loss: 0.009
[9,    31] loss: 0.005
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.006
[10,     6] loss: 0.001
[10,    11] loss: 0.016
[10,    16] loss: 0.002
[10,    21] loss: 0.024
[10,    26] loss: 0.001
[10,    31] loss: 0.002
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.004
[11,     6] loss: 0.001
[11,    11] loss: 0.002
[11,    16] loss: 0.001
[11,    21] loss: 0.175
[11,    26] loss: 0.003
[11,    31] loss: 0.003
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.001
[12,     6] loss: 0.212
[12,    11] loss: 0.011
[12,    16] loss: 0.002
[12,    21] loss: 0.003
[12,    26] loss: 0.293
[12,    31] loss: 0.021
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
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: 0.003
[13,    21] loss: 0.013
[13,    26] loss: 0.003
[13,    31] loss: 0.006
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.219
[14,     6] loss: 0.011
[14,    11] loss: 0.001
[14,    16] loss: 0.001
[14,    21] loss: 0.001
[14,    26] loss: 0.060
[14,    31] loss: 0.008
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.005
[15,     6] loss: 0.001
[15,    11] loss: 0.002
[15,    16] loss: 0.001
[15,    21] loss: 0.195
[15,    26] loss: 0.005
[15,    31] loss: 0.003
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.001
[16,     6] loss: 0.057
[16,    11] loss: 0.018
[16,    16] loss: 0.005
[16,    21] loss: 0.003
[16,    26] loss: 0.001
[16,    31] loss: 0.002
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
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: 0.021
[17,    21] loss: 0.020
[17,    26] loss: 0.006
[17,    31] loss: 0.292
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.012
[18,     6] loss: 0.008
[18,    11] loss: 0.009
[18,    16] loss: 0.023
[18,    21] loss: 0.011
[18,    26] loss: 0.002
[18,    31] loss: 0.001
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.001
[19,     6] loss: 0.002
[19,    11] loss: 0.002
[19,    16] loss: 0.018
[19,    21] loss: 0.004
[19,    26] loss: 0.014
[19,    31] loss: 0.016
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.006
[20,     6] loss: 0.003
[20,    11] loss: 0.011
[20,    16] loss: 0.001
[20,    21] loss: 0.006
[20,    26] loss: 0.006
[20,    31] loss: 0.015
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.001
[21,     6] loss: 0.002
[21,    11] loss: 0.022
[21,    16] loss: 0.002
[21,    21] loss: 0.003
[21,    26] loss: 0.009
[21,    31] loss: 0.004
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.004
[22,     6] loss: 0.015
[22,    11] loss: 0.002
[22,    16] loss: 0.004
[22,    21] loss: 0.007
[22,    26] loss: 0.005
[22,    31] loss: 0.008
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.001
[23,     6] loss: 0.001
[23,    11] loss: 0.006
[23,    16] loss: 0.251
[23,    21] loss: 0.004
[23,    26] loss: 0.008
[23,    31] loss: 0.003
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.006
[24,     6] loss: 0.001
[24,    11] loss: 0.020
[24,    16] loss: 0.007
[24,    21] loss: 0.008
[24,    26] loss: 0.003
[24,    31] loss: 0.014
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.005
[25,     6] loss: 0.002
[25,    11] loss: 0.005
[25,    16] loss: 0.005
[25,    21] loss: 0.009
[25,    26] loss: 0.002
[25,    31] loss: 0.239
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.023
[26,     6] loss: 0.001
[26,    11] loss: 0.011
[26,    16] loss: 0.004
[26,    21] loss: 0.009
[26,    26] loss: 0.012
[26,    31] loss: 0.021
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.001
[27,     6] loss: 0.183
[27,    11] loss: 0.004
[27,    16] loss: 0.010
[27,    21] loss: 0.007
[27,    26] loss: 0.001
[27,    31] loss: 0.001
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.003
[28,     6] loss: 0.006
[28,    11] loss: 0.007
[28,    16] loss: 0.007
[28,    21] loss: 0.020
[28,    26] loss: 0.001
[28,    31] loss: 0.003
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.004
[29,     6] loss: 0.207
[29,    11] loss: 0.020
[29,    16] loss: 0.017
[29,    21] loss: 0.019
[29,    26] loss: 0.003
[29,    31] loss: 0.010
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.002
[30,     6] loss: 0.002
[30,    11] loss: 0.001
[30,    16] loss: 0.008
[30,    21] loss: 0.006
[30,    26] loss: 0.012
[30,    31] loss: 0.002
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.002
[31,     6] loss: 0.003
[31,    11] loss: 0.002
[31,    16] loss: 0.003
[31,    21] loss: 0.354
[31,    26] loss: 0.005
[31,    31] loss: 0.022
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.013
[32,     6] loss: 0.001
[32,    11] loss: 0.001
[32,    16] loss: 0.008
[32,    21] loss: 0.003
[32,    26] loss: 0.009
[32,    31] loss: 0.002
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.005
[33,     6] loss: 0.033
[33,    11] loss: 0.034
[33,    16] loss: 0.002
[33,    21] loss: 0.011
[33,    26] loss: 0.004
[33,    31] loss: 0.003
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.002
[34,     6] loss: 0.001
[34,    11] loss: 0.003
[34,    16] loss: 0.009
[34,    21] loss: 0.002
[34,    26] loss: 0.009
[34,    31] loss: 0.002
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.001
[35,     6] loss: 0.001
[35,    11] loss: 0.002
[35,    16] loss: 0.224
[35,    21] loss: 0.019
[35,    26] loss: 0.010
[35,    31] loss: 0.002
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.005
[36,     6] loss: 0.009
[36,    11] loss: 0.001
[36,    16] loss: 0.002
[36,    21] loss: 0.003
[36,    26] loss: 0.008
[36,    31] loss: 0.015
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.007
[37,     6] loss: 0.002
[37,    11] loss: 0.185
[37,    16] loss: 0.006
[37,    21] loss: 0.004
[37,    26] loss: 0.005
[37,    31] loss: 0.007
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.003
[38,     6] loss: 0.002
[38,    11] loss: 0.001
[38,    16] loss: 0.009
[38,    21] loss: 0.001
[38,    26] loss: 0.011
[38,    31] loss: 0.001
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.009
[39,     6] loss: 0.007
[39,    11] loss: 0.001
[39,    16] loss: 0.017
[39,    21] loss: 0.005
[39,    26] loss: 0.013
[39,    31] loss: 0.009
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.005
[40,     6] loss: 0.003
[40,    11] loss: 0.001
[40,    16] loss: 0.002
[40,    21] loss: 0.002
[40,    26] loss: 0.004
[40,    31] loss: 0.012
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.002
[41,     6] loss: 0.009
[41,    11] loss: 0.001
[41,    16] loss: 0.028
[41,    21] loss: 0.012
[41,    26] loss: 0.004
[41,    31] loss: 0.004
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.003
[42,     6] loss: 0.020
[42,    11] loss: 0.006
[42,    16] loss: 0.016
[42,    21] loss: 0.010
[42,    26] loss: 0.005
[42,    31] loss: 0.003
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.007
[43,     6] loss: 0.004
[43,    11] loss: 0.001
[43,    16] loss: 0.004
[43,    21] loss: 0.014
[43,    26] loss: 0.018
[43,    31] loss: 0.001
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.002
[44,     6] loss: 0.016
[44,    11] loss: 0.009
[44,    16] loss: 0.013
[44,    21] loss: 0.008
[44,    26] loss: 0.006
[44,    31] loss: 0.001
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.004
[45,     6] loss: 0.195
[45,    11] loss: 0.001
[45,    16] loss: 0.010
[45,    21] loss: 0.007
[45,    26] loss: 0.001
[45,    31] loss: 0.001
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.001
[46,     6] loss: 0.002
[46,    11] loss: 0.001
[46,    16] loss: 0.005
[46,    21] loss: 0.001
[46,    26] loss: 0.001
[46,    31] loss: 0.005
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.035
[47,     6] loss: 0.005
[47,    11] loss: 0.002
[47,    16] loss: 0.002
[47,    21] loss: 0.009
[47,    26] loss: 0.005
[47,    31] loss: 0.001
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.005
[48,     6] loss: 0.001
[48,    11] loss: 0.049
[48,    16] loss: 0.008
[48,    21] loss: 0.001
[48,    26] loss: 0.006
[48,    31] loss: 0.000
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.238
[49,     6] loss: 0.003
[49,    11] loss: 0.015
[49,    16] loss: 0.001
[49,    21] loss: 0.001
[49,    26] loss: 0.007
[49,    31] loss: 0.001
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.004
[50,     6] loss: 0.006
[50,    11] loss: 0.007
[50,    16] loss: 0.003
[50,    21] loss: 0.013
[50,    26] loss: 0.007
[50,    31] loss: 0.001
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.005
[51,     6] loss: 0.001
[51,    11] loss: 0.015
[51,    16] loss: 0.019
[51,    21] loss: 0.004
[51,    26] loss: 0.001
[51,    31] loss: 0.004
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.002
[52,     6] loss: 0.001
[52,    11] loss: 0.003
[52,    16] loss: 0.002
[52,    21] loss: 0.003
[52,    26] loss: 0.010
[52,    31] loss: 0.003
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.001
[53,     6] loss: 0.007
[53,    11] loss: 0.001
[53,    16] loss: 0.194
[53,    21] loss: 0.003
[53,    26] loss: 0.001
[53,    31] loss: 0.005
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.005
[54,     6] loss: 0.001
[54,    11] loss: 0.002
[54,    16] loss: 0.001
[54,    21] loss: 0.001
[54,    26] loss: 0.007
[54,    31] loss: 0.019
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.164
[55,     6] loss: 0.002
[55,    11] loss: 0.004
[55,    16] loss: 0.001
[55,    21] loss: 0.012
[55,    26] loss: 0.001
[55,    31] loss: 0.003
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.006
[56,     6] loss: 0.247
[56,    11] loss: 0.038
[56,    16] loss: 0.006
[56,    21] loss: 0.004
[56,    26] loss: 0.009
[56,    31] loss: 0.004
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.003
[57,     6] loss: 0.004
[57,    11] loss: 0.002
[57,    16] loss: 0.002
[57,    21] loss: 0.003
[57,    26] loss: 0.002
[57,    31] loss: 0.010
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.001
[58,     6] loss: 0.007
[58,    11] loss: 0.008
[58,    16] loss: 0.201
[58,    21] loss: 0.010
[58,    26] loss: 0.014
[58,    31] loss: 0.007
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.001
[59,     6] loss: 0.002
[59,    11] loss: 0.006
[59,    16] loss: 0.003
[59,    21] loss: 0.006
[59,    26] loss: 0.003
[59,    31] loss: 0.008
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.006
[60,     6] loss: 0.006
[60,    11] loss: 0.005
[60,    16] loss: 0.001
[60,    21] loss: 0.001
[60,    26] loss: 0.003
[60,    31] loss: 0.013
[[ 64   0]
 [  0 163]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_no_wall_below_m
298
456
CONCEPT SAMPLE COUNT concept_no_wall_below_m 456 298
527 227
[1,     1] loss: 0.692
[1,     6] loss: 0.697
[1,    11] loss: 0.665
[1,    16] loss: 0.667
[1,    21] loss: 0.641
[1,    26] loss: 0.638
[1,    31] loss: 0.734
[[  0  92]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 59 %
[2,     1] loss: 0.686
[2,     6] loss: 0.692
[2,    11] loss: 0.713
[2,    16] loss: 0.615
[2,    21] loss: 0.658
[2,    26] loss: 0.696
[2,    31] loss: 0.597
[[  0  92]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 59 %
[3,     1] loss: 0.624
[3,     6] loss: 0.343
[3,    11] loss: 0.006
[3,    16] loss: 0.001
[3,    21] loss: 0.019
[3,    26] loss: 0.140
[3,    31] loss: 0.006
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.003
[4,     6] loss: 0.003
[4,    11] loss: 0.005
[4,    16] loss: 0.002
[4,    21] loss: 0.002
[4,    26] loss: 0.002
[4,    31] loss: 0.002
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.001
[5,     6] loss: 0.004
[5,    11] loss: 0.001
[5,    16] loss: 0.001
[5,    21] loss: 0.001
[5,    26] loss: 0.001
[5,    31] loss: 0.003
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.002
[6,     6] loss: 0.002
[6,    11] loss: 0.003
[6,    16] loss: 0.002
[6,    21] loss: 0.001
[6,    26] loss: 0.001
[6,    31] loss: 0.002
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.002
[7,     6] loss: 0.001
[7,    11] loss: 0.001
[7,    16] loss: 0.002
[7,    21] loss: 0.001
[7,    26] loss: 0.001
[7,    31] loss: 0.588
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.011
[8,     6] loss: 0.002
[8,    11] loss: 0.005
[8,    16] loss: 0.001
[8,    21] loss: 0.001
[8,    26] loss: 0.001
[8,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.002
[9,     6] loss: 0.001
[9,    11] loss: 0.001
[9,    16] loss: 0.001
[9,    21] loss: 0.001
[9,    26] loss: 0.002
[9,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.001
[10,     6] loss: 0.001
[10,    11] loss: 0.001
[10,    16] loss: 0.001
[10,    21] loss: 0.001
[10,    26] loss: 0.001
[10,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.001
[11,    26] loss: 0.002
[11,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.002
[12,    31] loss: 0.002
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.001
[13,     6] loss: 0.001
[13,    11] loss: 0.001
[13,    16] loss: 0.001
[13,    21] loss: 0.001
[13,    26] loss: 0.001
[13,    31] loss: 0.000
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.001
[14,     6] loss: 0.000
[14,    11] loss: 0.001
[14,    16] loss: 0.001
[14,    21] loss: 0.001
[14,    26] loss: 0.001
[14,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.002
[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: 0.002
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.001
[18,     6] loss: 0.002
[18,    11] loss: 0.002
[18,    16] loss: 0.001
[18,    21] loss: 0.000
[18,    26] loss: 0.001
[18,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.003
[19,    31] loss: 0.000
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.000
[20,    21] loss: 0.001
[20,    26] loss: 0.001
[20,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.002
[21,    21] loss: 0.001
[21,    26] loss: 0.001
[21,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.000
[22,    26] loss: 0.001
[22,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.001
[23,    26] loss: 0.000
[23,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.004
[25,    26] loss: 0.000
[25,    31] loss: 0.000
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.001
[26,     6] loss: 0.001
[26,    11] loss: 0.000
[26,    16] loss: 0.001
[26,    21] loss: 0.001
[26,    26] loss: 0.001
[26,    31] loss: 0.002
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.073
[27,    21] loss: 0.008
[27,    26] loss: 0.001
[27,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.002
[28,     6] loss: 0.002
[28,    11] loss: 0.002
[28,    16] loss: 0.001
[28,    21] loss: 0.001
[28,    26] loss: 0.001
[28,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.001
[30,     6] loss: 0.001
[30,    11] loss: 0.002
[30,    16] loss: 0.001
[30,    21] loss: 0.001
[30,    26] loss: 0.001
[30,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.001
[31,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.001
[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
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.002
[34,    21] loss: 0.001
[34,    26] loss: 0.001
[34,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.001
[36,     6] loss: 0.001
[36,    11] loss: 0.000
[36,    16] loss: 0.001
[36,    21] loss: 0.001
[36,    26] loss: 0.001
[36,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.000
[38,     6] loss: 0.001
[38,    11] loss: 0.001
[38,    16] loss: 0.001
[38,    21] loss: 0.002
[38,    26] loss: 0.002
[38,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.002
[39,    26] loss: 0.001
[39,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.001
[40,     6] loss: 0.002
[40,    11] loss: 0.001
[40,    16] loss: 0.001
[40,    21] loss: 0.001
[40,    26] loss: 0.001
[40,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.001
[41,    26] loss: 0.001
[41,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.001
[42,     6] loss: 0.002
[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
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.001
[43,    26] loss: 0.001
[43,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.001
[44,    21] loss: 0.001
[44,    26] loss: 0.001
[44,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.009
[45,     6] loss: 0.010
[45,    11] loss: 0.000
[45,    16] loss: 0.001
[45,    21] loss: 0.001
[45,    26] loss: 0.001
[45,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.001
[46,     6] loss: 0.001
[46,    11] loss: 0.000
[46,    16] loss: 0.001
[46,    21] loss: 0.001
[46,    26] loss: 0.001
[46,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.001
[47,     6] loss: 0.001
[47,    11] loss: 0.002
[47,    16] loss: 0.001
[47,    21] loss: 0.001
[47,    26] loss: 0.001
[47,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.001
[48,     6] loss: 0.001
[48,    11] loss: 0.000
[48,    16] loss: 0.003
[48,    21] loss: 0.001
[48,    26] loss: 0.001
[48,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.001
[49,     6] loss: 0.001
[49,    11] loss: 0.000
[49,    16] loss: 0.000
[49,    21] loss: 0.001
[49,    26] loss: 0.001
[49,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.000
[50,    21] loss: 0.001
[50,    26] loss: 0.001
[50,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.001
[51,     6] loss: 0.000
[51,    11] loss: 0.001
[51,    16] loss: 0.001
[51,    21] loss: 0.010
[51,    26] loss: 0.186
[51,    31] loss: 0.009
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.011
[52,     6] loss: 0.005
[52,    11] loss: 0.003
[52,    16] loss: 0.002
[52,    21] loss: 0.002
[52,    26] loss: 0.002
[52,    31] loss: 0.002
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.001
[53,    21] loss: 0.002
[53,    26] loss: 0.001
[53,    31] loss: 0.002
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.001
[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
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.001
[56,     6] loss: 0.002
[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
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.002
[57,    21] loss: 0.001
[57,    26] loss: 0.001
[57,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.001
[58,    21] loss: 0.001
[58,    26] loss: 0.001
[58,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
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: 0.002
[59,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.002
[60,     6] loss: 0.001
[60,    11] loss: 0.001
[60,    16] loss: 0.001
[60,    21] loss: 0.001
[60,    26] loss: 0.001
[60,    31] loss: 0.001
[[ 92   0]
 [  0 135]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_no_wall_on_left_m
430
324
CONCEPT SAMPLE COUNT concept_no_wall_on_left_m 324 430
527 227
[1,     1] loss: 0.722
[1,     6] loss: 0.682
[1,    11] loss: 0.694
[1,    16] loss: 0.673
[1,    21] loss: 0.662
[1,    26] loss: 0.687
[1,    31] loss: 0.671
[[123   0]
 [104   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 54 %
[2,     1] loss: 0.686
[2,     6] loss: 0.685
[2,    11] loss: 0.726
[2,    16] loss: 0.685
[2,    21] loss: 0.685
[2,    26] loss: 0.696
[2,    31] loss: 0.719
[[123   0]
 [104   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 54 %
[3,     1] loss: 0.681
[3,     6] loss: 0.730
[3,    11] loss: 0.706
[3,    16] loss: 0.704
[3,    21] loss: 0.681
[3,    26] loss: 0.682
[3,    31] loss: 0.716
[[123   0]
 [104   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 54 %
[4,     1] loss: 0.683
[4,     6] loss: 0.633
[4,    11] loss: 0.648
[4,    16] loss: 0.521
[4,    21] loss: 0.066
[4,    26] loss: 0.157
[4,    31] loss: 0.014
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.006
[5,     6] loss: 0.004
[5,    11] loss: 0.001
[5,    16] loss: 0.003
[5,    21] loss: 0.003
[5,    26] loss: 0.073
[5,    31] loss: 0.005
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.003
[6,    21] loss: 0.003
[6,    26] loss: 0.003
[6,    31] loss: 0.002
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.002
[7,     6] loss: 0.001
[7,    11] loss: 0.002
[7,    16] loss: 0.002
[7,    21] loss: 0.002
[7,    26] loss: 0.001
[7,    31] loss: 0.003
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.002
[9,     6] loss: 0.002
[9,    11] loss: 0.001
[9,    16] loss: 0.001
[9,    21] loss: 0.001
[9,    26] loss: 0.002
[9,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.002
[10,     6] loss: 0.002
[10,    11] loss: 0.001
[10,    16] loss: 0.001
[10,    21] loss: 0.001
[10,    26] loss: 0.001
[10,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.002
[11,     6] loss: 0.001
[11,    11] loss: 0.001
[11,    16] loss: 0.001
[11,    21] loss: 0.002
[11,    26] loss: 0.001
[11,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.002
[12,    26] loss: 0.001
[12,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.001
[13,    21] loss: 0.001
[13,    26] loss: 0.001
[13,    31] loss: 0.002
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.001
[15,    21] loss: 0.001
[15,    26] loss: 0.001
[15,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.001
[16,     6] loss: 0.001
[16,    11] loss: 0.002
[16,    16] loss: 0.002
[16,    21] loss: 0.001
[16,    26] loss: 0.001
[16,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.001
[17,     6] loss: 0.001
[17,    11] loss: 0.002
[17,    16] loss: 0.002
[17,    21] loss: 0.443
[17,    26] loss: 0.027
[17,    31] loss: 0.005
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.006
[18,     6] loss: 0.003
[18,    11] loss: 0.005
[18,    16] loss: 0.004
[18,    21] loss: 0.005
[18,    26] loss: 0.003
[18,    31] loss: 0.003
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.001
[19,     6] loss: 0.002
[19,    11] loss: 0.003
[19,    16] loss: 0.003
[19,    21] loss: 0.002
[19,    26] loss: 0.003
[19,    31] loss: 0.003
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.002
[20,     6] loss: 0.001
[20,    11] loss: 0.003
[20,    16] loss: 0.002
[20,    21] loss: 0.002
[20,    26] loss: 0.003
[20,    31] loss: 0.002
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.002
[21,     6] loss: 0.002
[21,    11] loss: 0.003
[21,    16] loss: 0.002
[21,    21] loss: 0.002
[21,    26] loss: 0.002
[21,    31] loss: 0.003
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.001
[22,     6] loss: 0.002
[22,    11] loss: 0.002
[22,    16] loss: 0.002
[22,    21] loss: 0.002
[22,    26] loss: 0.001
[22,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.002
[23,     6] loss: 0.001
[23,    11] loss: 0.002
[23,    16] loss: 0.002
[23,    21] loss: 0.001
[23,    26] loss: 0.001
[23,    31] loss: 0.002
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.001
[24,     6] loss: 0.002
[24,    11] loss: 0.001
[24,    16] loss: 0.002
[24,    21] loss: 0.001
[24,    26] loss: 0.001
[24,    31] loss: 0.002
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.002
[25,    21] loss: 0.002
[25,    26] loss: 0.001
[25,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.002
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.001
[27,    31] loss: 0.002
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.002
[28,    21] loss: 0.001
[28,    26] loss: 0.001
[28,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.002
[29,     6] loss: 0.001
[29,    11] loss: 0.002
[29,    16] loss: 0.001
[29,    21] loss: 0.001
[29,    26] loss: 0.001
[29,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.002
[30,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.001
[31,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.001
[32,    26] loss: 0.001
[32,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.001
[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
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.001
[34,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.002
[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
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.001
[38,    21] loss: 0.001
[38,    26] loss: 0.001
[38,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.001
[40,     6] loss: 0.001
[40,    11] loss: 0.002
[40,    16] loss: 0.001
[40,    21] loss: 0.001
[40,    26] loss: 0.001
[40,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.139
[41,    31] loss: 0.021
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.005
[42,     6] loss: 0.003
[42,    11] loss: 0.003
[42,    16] loss: 0.002
[42,    21] loss: 0.003
[42,    26] loss: 0.002
[42,    31] loss: 0.003
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.003
[43,     6] loss: 0.002
[43,    11] loss: 0.003
[43,    16] loss: 0.002
[43,    21] loss: 0.002
[43,    26] loss: 0.002
[43,    31] loss: 0.003
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.002
[44,     6] loss: 0.002
[44,    11] loss: 0.001
[44,    16] loss: 0.002
[44,    21] loss: 0.002
[44,    26] loss: 0.002
[44,    31] loss: 0.003
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.002
[45,     6] loss: 0.002
[45,    11] loss: 0.002
[45,    16] loss: 0.002
[45,    21] loss: 0.002
[45,    26] loss: 0.002
[45,    31] loss: 0.002
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.002
[46,     6] loss: 0.002
[46,    11] loss: 0.002
[46,    16] loss: 0.001
[46,    21] loss: 0.001
[46,    26] loss: 0.002
[46,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.002
[47,     6] loss: 0.001
[47,    11] loss: 0.001
[47,    16] loss: 0.002
[47,    21] loss: 0.002
[47,    26] loss: 0.001
[47,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.001
[48,     6] loss: 0.002
[48,    11] loss: 0.002
[48,    16] loss: 0.002
[48,    21] loss: 0.002
[48,    26] loss: 0.001
[48,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.002
[49,     6] loss: 0.001
[49,    11] loss: 0.002
[49,    16] loss: 0.002
[49,    21] loss: 0.002
[49,    26] loss: 0.001
[49,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.001
[50,     6] loss: 0.002
[50,    11] loss: 0.002
[50,    16] loss: 0.002
[50,    21] loss: 0.002
[50,    26] loss: 0.002
[50,    31] loss: 0.002
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.001
[51,     6] loss: 0.002
[51,    11] loss: 0.001
[51,    16] loss: 0.002
[51,    21] loss: 0.001
[51,    26] loss: 0.001
[51,    31] loss: 0.002
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.001
[52,     6] loss: 0.002
[52,    11] loss: 0.001
[52,    16] loss: 0.001
[52,    21] loss: 0.001
[52,    26] loss: 0.002
[52,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.002
[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
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.002
[57,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.001
[58,    21] loss: 0.001
[58,    26] loss: 0.001
[58,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.002
[59,     6] loss: 0.002
[59,    11] loss: 0.001
[59,    16] loss: 0.001
[59,    21] loss: 0.001
[59,    26] loss: 0.001
[59,    31] loss: 0.002
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
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: 0.001
[60,    26] loss: 0.001
[60,    31] loss: 0.001
[[123   0]
 [  0 104]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_no_wall_on_right_m
414
340
CONCEPT SAMPLE COUNT concept_no_wall_on_right_m 340 414
527 227
[1,     1] loss: 0.661
[1,     6] loss: 0.693
[1,    11] loss: 0.693
[1,    16] loss: 0.698
[1,    21] loss: 0.698
[1,    26] loss: 0.684
[1,    31] loss: 0.698
[[132   0]
 [ 95   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 58 %
[2,     1] loss: 0.693
[2,     6] loss: 0.674
[2,    11] loss: 0.700
[2,    16] loss: 0.681
[2,    21] loss: 0.695
[2,    26] loss: 0.697
[2,    31] loss: 0.681
[[132   0]
 [ 89   6]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 60 %
[3,     1] loss: 0.667
[3,     6] loss: 0.680
[3,    11] loss: 0.665
[3,    16] loss: 0.645
[3,    21] loss: 0.345
[3,    26] loss: 0.486
[3,    31] loss: 0.134
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.033
[4,     6] loss: 0.009
[4,    11] loss: 0.007
[4,    16] loss: 0.007
[4,    21] loss: 0.004
[4,    26] loss: 0.006
[4,    31] loss: 0.003
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.007
[5,     6] loss: 0.004
[5,    11] loss: 0.004
[5,    16] loss: 0.003
[5,    21] loss: 0.003
[5,    26] loss: 0.002
[5,    31] loss: 0.003
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.004
[6,     6] loss: 0.002
[6,    11] loss: 0.003
[6,    16] loss: 0.006
[6,    21] loss: 0.006
[6,    26] loss: 0.003
[6,    31] loss: 0.003
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.002
[7,     6] loss: 0.003
[7,    11] loss: 0.009
[7,    16] loss: 0.004
[7,    21] loss: 0.002
[7,    26] loss: 0.001
[7,    31] loss: 0.003
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.001
[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: 0.001
[[126   6]
 [ 13  82]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[9,     1] loss: 0.392
[9,     6] loss: 0.009
[9,    11] loss: 0.003
[9,    16] loss: 0.005
[9,    21] loss: 0.004
[9,    26] loss: 0.002
[9,    31] loss: 0.005
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.002
[10,     6] loss: 0.003
[10,    11] loss: 0.002
[10,    16] loss: 0.002
[10,    21] loss: 0.002
[10,    26] loss: 0.002
[10,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.002
[11,     6] loss: 0.003
[11,    11] loss: 0.002
[11,    16] loss: 0.001
[11,    21] loss: 0.002
[11,    26] loss: 0.002
[11,    31] loss: 0.002
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.001
[12,     6] loss: 0.001
[12,    11] loss: 0.002
[12,    16] loss: 0.001
[12,    21] loss: 0.003
[12,    26] loss: 0.001
[12,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.002
[13,     6] loss: 0.002
[13,    11] loss: 0.002
[13,    16] loss: 0.002
[13,    21] loss: 0.002
[13,    26] loss: 0.002
[13,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.002
[14,    21] loss: 0.003
[14,    26] loss: 0.001
[14,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.001
[15,     6] loss: 0.003
[15,    11] loss: 0.002
[15,    16] loss: 0.001
[15,    21] loss: 0.002
[15,    26] loss: 0.002
[15,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.002
[16,     6] loss: 0.002
[16,    11] loss: 0.001
[16,    16] loss: 0.004
[16,    21] loss: 0.001
[16,    26] loss: 0.001
[16,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.002
[17,     6] loss: 0.001
[17,    11] loss: 0.002
[17,    16] loss: 0.001
[17,    21] loss: 0.002
[17,    26] loss: 0.001
[17,    31] loss: 0.002
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.002
[18,     6] loss: 0.002
[18,    11] loss: 0.002
[18,    16] loss: 0.002
[18,    21] loss: 0.001
[18,    26] loss: 0.001
[18,    31] loss: 0.002
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.001
[19,     6] loss: 0.002
[19,    11] loss: 0.001
[19,    16] loss: 0.002
[19,    21] loss: 0.001
[19,    26] loss: 0.003
[19,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.002
[20,    21] loss: 0.001
[20,    26] loss: 0.002
[20,    31] loss: 0.003
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.001
[21,     6] loss: 0.001
[21,    11] loss: 0.000
[21,    16] loss: 0.001
[21,    21] loss: 0.001
[21,    26] loss: 0.001
[21,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.001
[22,     6] loss: 0.002
[22,    11] loss: 0.002
[22,    16] loss: 0.001
[22,    21] loss: 0.001
[22,    26] loss: 0.001
[22,    31] loss: 0.003
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.001
[23,     6] loss: 0.004
[23,    11] loss: 0.005
[23,    16] loss: 0.005
[23,    21] loss: 0.003
[23,    26] loss: 0.002
[23,    31] loss: 0.003
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.001
[24,     6] loss: 0.002
[24,    11] loss: 0.001
[24,    16] loss: 0.002
[24,    21] loss: 0.001
[24,    26] loss: 0.001
[24,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.001
[25,    26] loss: 0.001
[25,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.001
[26,     6] loss: 0.002
[26,    11] loss: 0.001
[26,    16] loss: 0.001
[26,    21] loss: 0.001
[26,    26] loss: 0.002
[26,    31] loss: 0.002
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.002
[27,    26] loss: 0.002
[27,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.003
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.002
[29,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.002
[30,    21] loss: 0.001
[30,    26] loss: 0.001
[30,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.002
[31,    26] loss: 0.001
[31,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.001
[32,     6] loss: 0.001
[32,    11] loss: 0.002
[32,    16] loss: 0.002
[32,    21] loss: 0.002
[32,    26] loss: 0.001
[32,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.001
[33,    21] loss: 0.001
[33,    26] loss: 0.001
[33,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.002
[34,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.002
[35,    31] loss: 0.002
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.001
[36,    26] loss: 0.001
[36,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.002
[37,    21] loss: 0.001
[37,    26] loss: 0.001
[37,    31] loss: 0.002
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.002
[38,     6] loss: 0.001
[38,    11] loss: 0.002
[38,    16] loss: 0.001
[38,    21] loss: 0.001
[38,    26] loss: 0.001
[38,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.001
[39,     6] loss: 0.001
[39,    11] loss: 0.002
[39,    16] loss: 0.001
[39,    21] loss: 0.002
[39,    26] loss: 0.001
[39,    31] loss: 0.000
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.002
[40,     6] loss: 0.002
[40,    11] loss: 0.001
[40,    16] loss: 0.002
[40,    21] loss: 0.001
[40,    26] loss: 0.000
[40,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.001
[41,    26] loss: 0.001
[41,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.002
[42,     6] loss: 0.001
[42,    11] loss: 0.001
[42,    16] loss: 0.003
[42,    21] loss: 0.001
[42,    26] loss: 0.001
[42,    31] loss: 0.002
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.002
[43,    26] loss: 0.001
[43,    31] loss: 0.002
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.002
[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
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.001
[45,     6] loss: 0.002
[45,    11] loss: 0.001
[45,    16] loss: 0.002
[45,    21] loss: 0.002
[45,    26] loss: 0.001
[45,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.003
[46,    21] loss: 0.001
[46,    26] loss: 0.001
[46,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.001
[47,     6] loss: 0.001
[47,    11] loss: 0.000
[47,    16] loss: 0.004
[47,    21] loss: 0.007
[47,    26] loss: 0.001
[47,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.001
[49,     6] loss: 0.003
[49,    11] loss: 0.002
[49,    16] loss: 0.002
[49,    21] loss: 0.002
[49,    26] loss: 0.002
[49,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.003
[50,    21] loss: 0.001
[50,    26] loss: 0.001
[50,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.001
[51,     6] loss: 0.002
[51,    11] loss: 0.001
[51,    16] loss: 0.001
[51,    21] loss: 0.002
[51,    26] loss: 0.001
[51,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.001
[52,    31] loss: 0.002
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.001
[53,    21] loss: 0.001
[53,    26] loss: 0.002
[53,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.002
[54,    26] loss: 0.000
[54,    31] loss: 0.002
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.002
[55,    31] loss: 0.006
[[114  18]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 92 %
[56,     1] loss: 0.315
[56,     6] loss: 0.054
[56,    11] loss: 0.026
[56,    16] loss: 0.010
[56,    21] loss: 0.006
[56,    26] loss: 0.006
[56,    31] loss: 0.004
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.002
[57,     6] loss: 0.005
[57,    11] loss: 0.002
[57,    16] loss: 0.002
[57,    21] loss: 0.002
[57,    26] loss: 0.002
[57,    31] loss: 0.002
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.002
[58,     6] loss: 0.003
[58,    11] loss: 0.002
[58,    16] loss: 0.002
[58,    21] loss: 0.001
[58,    26] loss: 0.002
[58,    31] loss: 0.002
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.002
[59,    21] loss: 0.002
[59,    26] loss: 0.002
[59,    31] loss: 0.002
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
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: 0.002
[60,    21] loss: 0.001
[60,    26] loss: 0.001
[60,    31] loss: 0.001
[[132   0]
 [  0  95]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_no_wall_on_top_m
306
448
CONCEPT SAMPLE COUNT concept_no_wall_on_top_m 448 306
527 227
[1,     1] loss: 0.735
[1,     6] loss: 0.679
[1,    11] loss: 0.646
[1,    16] loss: 0.682
[1,    21] loss: 0.701
[1,    26] loss: 0.665
[1,    31] loss: 0.677
[[ 11  79]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 65 %
[2,     1] loss: 0.629
[2,     6] loss: 0.393
[2,    11] loss: 0.086
[2,    16] loss: 0.011
[2,    21] loss: 0.008
[2,    26] loss: 0.013
[2,    31] loss: 0.005
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[3,     1] loss: 0.005
[3,     6] loss: 0.006
[3,    11] loss: 0.003
[3,    16] loss: 0.003
[3,    21] loss: 0.003
[3,    26] loss: 0.003
[3,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.004
[4,     6] loss: 0.002
[4,    11] loss: 0.003
[4,    16] loss: 0.003
[4,    21] loss: 0.002
[4,    26] loss: 0.002
[4,    31] loss: 0.003
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.002
[5,     6] loss: 0.003
[5,    11] loss: 0.002
[5,    16] loss: 0.003
[5,    21] loss: 0.001
[5,    26] loss: 0.002
[5,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.004
[6,     6] loss: 0.001
[6,    11] loss: 0.001
[6,    16] loss: 0.002
[6,    21] loss: 0.002
[6,    26] loss: 0.002
[6,    31] loss: 0.003
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.002
[7,     6] loss: 0.001
[7,    11] loss: 0.001
[7,    16] loss: 0.002
[7,    21] loss: 0.001
[7,    26] loss: 0.001
[7,    31] loss: 0.002
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.002
[8,     6] loss: 0.001
[8,    11] loss: 0.003
[8,    16] loss: 0.002
[8,    21] loss: 0.004
[8,    26] loss: 0.001
[8,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.001
[9,    21] loss: 0.001
[9,    26] loss: 0.002
[9,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.001
[10,     6] loss: 0.001
[10,    11] loss: 0.001
[10,    16] loss: 0.001
[10,    21] loss: 0.002
[10,    26] loss: 0.001
[10,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.002
[11,     6] loss: 0.001
[11,    11] loss: 0.001
[11,    16] loss: 0.001
[11,    21] loss: 0.001
[11,    26] loss: 0.001
[11,    31] loss: 0.002
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.002
[12,    21] loss: 0.002
[12,    26] loss: 0.001
[12,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.001
[13,     6] loss: 0.002
[13,    11] loss: 0.000
[13,    16] loss: 0.003
[13,    21] loss: 0.513
[13,    26] loss: 0.336
[13,    31] loss: 0.058
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.010
[14,     6] loss: 0.008
[14,    11] loss: 0.004
[14,    16] loss: 0.005
[14,    21] loss: 0.004
[14,    26] loss: 0.004
[14,    31] loss: 0.004
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.004
[15,     6] loss: 0.004
[15,    11] loss: 0.003
[15,    16] loss: 0.004
[15,    21] loss: 0.003
[15,    26] loss: 0.003
[15,    31] loss: 0.002
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.002
[16,     6] loss: 0.004
[16,    11] loss: 0.002
[16,    16] loss: 0.003
[16,    21] loss: 0.003
[16,    26] loss: 0.002
[16,    31] loss: 0.002
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.001
[17,     6] loss: 0.003
[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
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.004
[18,     6] loss: 0.002
[18,    11] loss: 0.002
[18,    16] loss: 0.002
[18,    21] loss: 0.002
[18,    26] loss: 0.002
[18,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.003
[19,     6] loss: 0.002
[19,    11] loss: 0.002
[19,    16] loss: 0.002
[19,    21] loss: 0.002
[19,    26] loss: 0.003
[19,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.002
[20,     6] loss: 0.002
[20,    11] loss: 0.001
[20,    16] loss: 0.001
[20,    21] loss: 0.001
[20,    26] loss: 0.002
[20,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.002
[21,     6] loss: 0.002
[21,    11] loss: 0.003
[21,    16] loss: 0.001
[21,    21] loss: 0.002
[21,    26] loss: 0.001
[21,    31] loss: 0.002
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.002
[22,     6] loss: 0.001
[22,    11] loss: 0.002
[22,    16] loss: 0.002
[22,    21] loss: 0.001
[22,    26] loss: 0.001
[22,    31] loss: 0.002
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.002
[23,     6] loss: 0.002
[23,    11] loss: 0.002
[23,    16] loss: 0.001
[23,    21] loss: 0.002
[23,    26] loss: 0.002
[23,    31] loss: 0.002
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.001
[24,     6] loss: 0.001
[24,    11] loss: 0.002
[24,    16] loss: 0.001
[24,    21] loss: 0.002
[24,    26] loss: 0.001
[24,    31] loss: 0.002
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.002
[25,    21] loss: 0.001
[25,    26] loss: 0.001
[25,    31] loss: 0.002
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.002
[26,    21] loss: 0.001
[26,    26] loss: 0.001
[26,    31] loss: 0.002
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.002
[27,     6] loss: 0.001
[27,    11] loss: 0.001
[27,    16] loss: 0.001
[27,    21] loss: 0.001
[27,    26] loss: 0.002
[27,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.002
[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
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.002
[29,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.002
[30,    26] loss: 0.001
[30,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.002
[31,    21] loss: 0.001
[31,    26] loss: 0.001
[31,    31] loss: 0.002
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.001
[32,    26] loss: 0.001
[32,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.001
[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: 0.003
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.002
[34,    21] loss: 0.001
[34,    26] loss: 0.001
[34,    31] loss: 0.002
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.001
[36,    31] loss: 0.002
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.002
[37,    21] loss: 0.001
[37,    26] loss: 0.001
[37,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.002
[38,    21] loss: 0.001
[38,    26] loss: 0.002
[38,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.001
[39,     6] loss: 0.002
[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
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.000
[40,     6] loss: 0.002
[40,    11] loss: 0.001
[40,    16] loss: 0.001
[40,    21] loss: 0.001
[40,    26] loss: 0.001
[40,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.000
[41,    26] loss: 0.001
[41,    31] loss: 0.002
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.000
[42,    21] loss: 0.001
[42,    26] loss: 0.001
[42,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.000
[43,     6] loss: 0.001
[43,    11] loss: 0.000
[43,    16] loss: 0.001
[43,    21] loss: 0.003
[43,    26] loss: 0.003
[43,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.000
[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: 0.002
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.003
[45,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.002
[46,    26] loss: 0.001
[46,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.001
[47,     6] loss: 0.001
[47,    11] loss: 0.002
[47,    16] loss: 0.001
[47,    21] loss: 0.001
[47,    26] loss: 0.001
[47,    31] loss: 0.002
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.002
[49,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.002
[50,    21] loss: 0.001
[50,    26] loss: 0.001
[50,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.002
[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: 0.000
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.003
[52,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.001
[53,     6] loss: 0.000
[53,    11] loss: 0.001
[53,    16] loss: 0.001
[53,    21] loss: 0.000
[53,    26] loss: 0.001
[53,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.000
[54,    21] loss: 0.001
[54,    26] loss: 0.001
[54,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.001
[55,    26] loss: 0.002
[55,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.000
[57,     6] loss: 0.001
[57,    11] loss: 0.001
[57,    16] loss: 0.001
[57,    21] loss: 0.002
[57,    26] loss: 0.001
[57,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.100
[58,    21] loss: 0.006
[58,    26] loss: 0.003
[58,    31] loss: 0.003
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.002
[59,     6] loss: 0.002
[59,    11] loss: 0.003
[59,    16] loss: 0.001
[59,    21] loss: 0.001
[59,    26] loss: 0.001
[59,    31] loss: 0.002
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
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: 0.002
[60,    21] loss: 0.001
[60,    26] loss: 0.002
[60,    31] loss: 0.001
[[ 90   0]
 [  0 137]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_on_pink_cell
654
100
CONCEPT SAMPLE COUNT concept_on_pink_cell 100 654
527 227
[1,     1] loss: 0.894
[1,     6] loss: 0.582
[1,    11] loss: 0.651
[1,    16] loss: 0.495
[1,    21] loss: 0.378
[1,    26] loss: 0.538
[1,    31] loss: 0.455
[[197   0]
 [ 30   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 86 %
[2,     1] loss: 0.482
[2,     6] loss: 0.267
[2,    11] loss: 0.370
[2,    16] loss: 0.530
[2,    21] loss: 0.317
[2,    26] loss: 0.262
[2,    31] loss: 0.067
[[197   0]
 [ 30   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 86 %
[3,     1] loss: 0.411
[3,     6] loss: 0.153
[3,    11] loss: 0.414
[3,    16] loss: 0.179
[3,    21] loss: 0.295
[3,    26] loss: 0.278
[3,    31] loss: 0.347
[[197   0]
 [ 30   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 86 %
[4,     1] loss: 0.191
[4,     6] loss: 0.207
[4,    11] loss: 0.305
[4,    16] loss: 0.253
[4,    21] loss: 0.048
[4,    26] loss: 0.035
[4,    31] loss: 0.301
[[197   0]
 [ 30   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 86 %
[5,     1] loss: 0.915
[5,     6] loss: 0.119
[5,    11] loss: 0.355
[5,    16] loss: 0.045
[5,    21] loss: 0.084
[5,    26] loss: 0.143
[5,    31] loss: 0.135
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.101
[6,     6] loss: 0.164
[6,    11] loss: 0.082
[6,    16] loss: 0.001
[6,    21] loss: 0.101
[6,    26] loss: 0.062
[6,    31] loss: 0.067
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.009
[7,     6] loss: 0.007
[7,    11] loss: 0.191
[7,    16] loss: 0.245
[7,    21] loss: 0.077
[7,    26] loss: 0.078
[7,    31] loss: 0.024
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.022
[8,     6] loss: 0.018
[8,    11] loss: 0.004
[8,    16] loss: 0.005
[8,    21] loss: 0.011
[8,    26] loss: 0.007
[8,    31] loss: 0.004
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.008
[9,     6] loss: 0.002
[9,    11] loss: 0.003
[9,    16] loss: 0.001
[9,    21] loss: 0.004
[9,    26] loss: 0.001
[9,    31] loss: 0.004
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.005
[10,     6] loss: 0.002
[10,    11] loss: 0.006
[10,    16] loss: 0.002
[10,    21] loss: 0.003
[10,    26] loss: 0.002
[10,    31] loss: 0.001
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.002
[11,     6] loss: 0.004
[11,    11] loss: 0.006
[11,    16] loss: 0.002
[11,    21] loss: 0.007
[11,    26] loss: 0.002
[11,    31] loss: 0.001
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.001
[12,     6] loss: 0.003
[12,    11] loss: 0.004
[12,    16] loss: 0.003
[12,    21] loss: 0.004
[12,    26] loss: 0.008
[12,    31] loss: 0.003
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.003
[13,     6] loss: 0.003
[13,    11] loss: 0.003
[13,    16] loss: 0.002
[13,    21] loss: 0.000
[13,    26] loss: 0.002
[13,    31] loss: 0.005
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.003
[14,     6] loss: 0.005
[14,    11] loss: 0.002
[14,    16] loss: 0.003
[14,    21] loss: 0.002
[14,    26] loss: 0.002
[14,    31] loss: 0.001
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
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: 0.001
[15,    21] loss: 0.001
[15,    26] loss: 0.003
[15,    31] loss: 0.002
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.003
[16,     6] loss: 0.005
[16,    11] loss: 0.001
[16,    16] loss: 0.002
[16,    21] loss: 0.030
[16,    26] loss: 0.339
[16,    31] loss: 0.452
[[197   0]
 [ 30   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 86 %
[17,     1] loss: 0.047
[17,     6] loss: 0.146
[17,    11] loss: 0.198
[17,    16] loss: 0.093
[17,    21] loss: 0.268
[17,    26] loss: 0.146
[17,    31] loss: 0.088
[[197   0]
 [  9  21]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[18,     1] loss: 0.075
[18,     6] loss: 0.108
[18,    11] loss: 0.196
[18,    16] loss: 0.074
[18,    21] loss: 0.012
[18,    26] loss: 0.005
[18,    31] loss: 0.016
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.008
[19,     6] loss: 0.007
[19,    11] loss: 0.008
[19,    16] loss: 0.006
[19,    21] loss: 0.007
[19,    26] loss: 0.009
[19,    31] loss: 0.005
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.002
[20,     6] loss: 0.005
[20,    11] loss: 0.006
[20,    16] loss: 0.007
[20,    21] loss: 0.003
[20,    26] loss: 0.002
[20,    31] loss: 0.001
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.004
[21,     6] loss: 0.002
[21,    11] loss: 0.002
[21,    16] loss: 0.002
[21,    21] loss: 0.003
[21,    26] loss: 0.004
[21,    31] loss: 0.001
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.002
[22,     6] loss: 0.001
[22,    11] loss: 0.005
[22,    16] loss: 0.002
[22,    21] loss: 0.003
[22,    26] loss: 0.003
[22,    31] loss: 0.002
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.001
[23,     6] loss: 0.002
[23,    11] loss: 0.002
[23,    16] loss: 0.003
[23,    21] loss: 0.000
[23,    26] loss: 0.003
[23,    31] loss: 0.003
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.003
[24,     6] loss: 0.007
[24,    11] loss: 0.002
[24,    16] loss: 0.001
[24,    21] loss: 0.003
[24,    26] loss: 0.004
[24,    31] loss: 0.001
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.001
[25,     6] loss: 0.002
[25,    11] loss: 0.003
[25,    16] loss: 0.006
[25,    21] loss: 0.001
[25,    26] loss: 0.003
[25,    31] loss: 0.003
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.002
[26,     6] loss: 0.002
[26,    11] loss: 0.002
[26,    16] loss: 0.003
[26,    21] loss: 0.283
[26,    26] loss: 0.200
[26,    31] loss: 0.028
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.074
[27,     6] loss: 0.025
[27,    11] loss: 0.014
[27,    16] loss: 0.005
[27,    21] loss: 0.002
[27,    26] loss: 0.002
[27,    31] loss: 0.003
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.004
[28,     6] loss: 0.008
[28,    11] loss: 0.003
[28,    16] loss: 0.004
[28,    21] loss: 0.002
[28,    26] loss: 0.002
[28,    31] loss: 0.013
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.009
[29,     6] loss: 0.001
[29,    11] loss: 0.000
[29,    16] loss: 0.002
[29,    21] loss: 0.002
[29,    26] loss: 0.004
[29,    31] loss: 0.005
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.002
[30,     6] loss: 0.000
[30,    11] loss: 0.002
[30,    16] loss: 0.004
[30,    21] loss: 0.003
[30,    26] loss: 0.002
[30,    31] loss: 0.006
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.003
[31,     6] loss: 0.004
[31,    11] loss: 0.002
[31,    16] loss: 0.002
[31,    21] loss: 0.001
[31,    26] loss: 0.002
[31,    31] loss: 0.001
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.001
[32,     6] loss: 0.002
[32,    11] loss: 0.002
[32,    16] loss: 0.002
[32,    21] loss: 0.002
[32,    26] loss: 0.001
[32,    31] loss: 0.002
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.002
[33,     6] loss: 0.005
[33,    11] loss: 0.005
[33,    16] loss: 0.001
[33,    21] loss: 0.000
[33,    26] loss: 0.003
[33,    31] loss: 0.003
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.008
[34,     6] loss: 0.002
[34,    11] loss: 0.003
[34,    16] loss: 0.003
[34,    21] loss: 0.002
[34,    26] loss: 0.002
[34,    31] loss: 0.000
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.004
[35,     6] loss: 0.002
[35,    11] loss: 0.002
[35,    16] loss: 0.002
[35,    21] loss: 0.006
[35,    26] loss: 0.001
[35,    31] loss: 0.001
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.002
[36,     6] loss: 0.003
[36,    11] loss: 0.001
[36,    16] loss: 0.001
[36,    21] loss: 0.001
[36,    26] loss: 0.001
[36,    31] loss: 0.001
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.004
[37,     6] loss: 0.003
[37,    11] loss: 0.001
[37,    16] loss: 0.002
[37,    21] loss: 0.000
[37,    26] loss: 0.002
[37,    31] loss: 0.001
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.004
[38,     6] loss: 0.007
[38,    11] loss: 0.001
[38,    16] loss: 0.000
[38,    21] loss: 0.001
[38,    26] loss: 0.002
[38,    31] loss: 0.005
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.001
[39,     6] loss: 0.002
[39,    11] loss: 0.007
[39,    16] loss: 0.002
[39,    21] loss: 0.003
[39,    26] loss: 0.002
[39,    31] loss: 0.002
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
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: 0.001
[40,    21] loss: 0.004
[40,    26] loss: 0.002
[40,    31] loss: 0.002
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.005
[41,     6] loss: 0.001
[41,    11] loss: 0.002
[41,    16] loss: 0.002
[41,    21] loss: 0.002
[41,    26] loss: 0.003
[41,    31] loss: 0.002
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.004
[42,     6] loss: 0.005
[42,    11] loss: 0.001
[42,    16] loss: 0.001
[42,    21] loss: 0.001
[42,    26] loss: 0.001
[42,    31] loss: 0.002
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.001
[43,     6] loss: 0.002
[43,    11] loss: 0.003
[43,    16] loss: 0.002
[43,    21] loss: 0.002
[43,    26] loss: 0.001
[43,    31] loss: 0.002
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.001
[44,     6] loss: 0.003
[44,    11] loss: 0.001
[44,    16] loss: 0.001
[44,    21] loss: 0.004
[44,    26] loss: 0.001
[44,    31] loss: 0.002
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.002
[45,     6] loss: 0.001
[45,    11] loss: 0.002
[45,    16] loss: 0.004
[45,    21] loss: 0.001
[45,    26] loss: 0.003
[45,    31] loss: 0.001
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.002
[46,     6] loss: 0.002
[46,    11] loss: 0.001
[46,    16] loss: 0.002
[46,    21] loss: 0.002
[46,    26] loss: 0.002
[46,    31] loss: 0.002
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.002
[47,     6] loss: 0.001
[47,    11] loss: 0.001
[47,    16] loss: 0.002
[47,    21] loss: 0.002
[47,    26] loss: 0.002
[47,    31] loss: 6.333
[[197   0]
 [ 30   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 86 %
[48,     1] loss: 1.100
[48,     6] loss: 0.086
[48,    11] loss: 0.176
[48,    16] loss: 0.096
[48,    21] loss: 0.019
[48,    26] loss: 0.011
[48,    31] loss: 0.024
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.010
[49,     6] loss: 0.033
[49,    11] loss: 0.006
[49,    16] loss: 0.006
[49,    21] loss: 0.006
[49,    26] loss: 0.007
[49,    31] loss: 0.014
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.009
[50,     6] loss: 0.008
[50,    11] loss: 0.001
[50,    16] loss: 0.013
[50,    21] loss: 0.006
[50,    26] loss: 0.005
[50,    31] loss: 0.005
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.007
[51,     6] loss: 0.005
[51,    11] loss: 0.007
[51,    16] loss: 0.004
[51,    21] loss: 0.002
[51,    26] loss: 0.004
[51,    31] loss: 0.002
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.003
[52,     6] loss: 0.004
[52,    11] loss: 0.002
[52,    16] loss: 0.005
[52,    21] loss: 0.003
[52,    26] loss: 0.004
[52,    31] loss: 0.009
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.002
[53,     6] loss: 0.004
[53,    11] loss: 0.005
[53,    16] loss: 0.001
[53,    21] loss: 0.002
[53,    26] loss: 0.003
[53,    31] loss: 0.004
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.002
[54,     6] loss: 0.007
[54,    11] loss: 0.003
[54,    16] loss: 0.004
[54,    21] loss: 0.003
[54,    26] loss: 0.003
[54,    31] loss: 0.003
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.003
[55,     6] loss: 0.003
[55,    11] loss: 0.005
[55,    16] loss: 0.001
[55,    21] loss: 0.009
[55,    26] loss: 0.004
[55,    31] loss: 0.002
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.003
[56,     6] loss: 0.002
[56,    11] loss: 0.003
[56,    16] loss: 0.002
[56,    21] loss: 0.005
[56,    26] loss: 0.004
[56,    31] loss: 0.001
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.007
[57,     6] loss: 0.003
[57,    11] loss: 0.001
[57,    16] loss: 0.004
[57,    21] loss: 0.006
[57,    26] loss: 0.002
[57,    31] loss: 0.002
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.002
[58,     6] loss: 0.002
[58,    11] loss: 0.004
[58,    16] loss: 0.003
[58,    21] loss: 0.001
[58,    26] loss: 0.003
[58,    31] loss: 0.002
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.003
[59,     6] loss: 0.002
[59,    11] loss: 0.001
[59,    16] loss: 0.003
[59,    21] loss: 0.003
[59,    26] loss: 0.001
[59,    31] loss: 0.003
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
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: 0.005
[60,    21] loss: 0.004
[60,    26] loss: 0.002
[60,    31] loss: 0.002
[[197   0]
 [  0  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_pink_cell_below
685
69
CONCEPT SAMPLE COUNT concept_pink_cell_below 69 685
527 227
[1,     1] loss: 1.521
[1,     6] loss: 0.032
[1,    11] loss: 0.557
[1,    16] loss: 0.290
[1,    21] loss: 0.429
[1,    26] loss: 0.498
[1,    31] loss: 0.236
[[203   0]
 [ 24   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 89 %
[2,     1] loss: 0.369
[2,     6] loss: 0.356
[2,    11] loss: 0.232
[2,    16] loss: 0.182
[2,    21] loss: 0.390
[2,    26] loss: 0.380
[2,    31] loss: 0.253
[[203   0]
 [ 24   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 89 %
[3,     1] loss: 0.204
[3,     6] loss: 0.340
[3,    11] loss: 0.356
[3,    16] loss: 0.500
[3,    21] loss: 0.297
[3,    26] loss: 0.139
[3,    31] loss: 0.257
[[203   0]
 [ 24   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 89 %
[4,     1] loss: 0.182
[4,     6] loss: 0.096
[4,    11] loss: 0.026
[4,    16] loss: 0.018
[4,    21] loss: 0.021
[4,    26] loss: 0.025
[4,    31] loss: 0.001
[[203   0]
 [  2  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[5,     1] loss: 0.050
[5,     6] loss: 0.026
[5,    11] loss: 0.002
[5,    16] loss: 0.006
[5,    21] loss: 0.007
[5,    26] loss: 0.009
[5,    31] loss: 0.008
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.010
[6,     6] loss: 0.010
[6,    11] loss: 0.001
[6,    16] loss: 0.004
[6,    21] loss: 0.003
[6,    26] loss: 0.005
[6,    31] loss: 0.049
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.144
[7,     6] loss: 0.015
[7,    11] loss: 0.171
[7,    16] loss: 0.019
[7,    21] loss: 0.002
[7,    26] loss: 0.002
[7,    31] loss: 0.010
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.001
[8,     6] loss: 0.010
[8,    11] loss: 0.007
[8,    16] loss: 0.007
[8,    21] loss: 0.007
[8,    26] loss: 0.007
[8,    31] loss: 0.001
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.001
[9,     6] loss: 0.008
[9,    11] loss: 0.006
[9,    16] loss: 0.025
[9,    21] loss: 0.003
[9,    26] loss: 0.013
[9,    31] loss: 0.229
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.013
[10,     6] loss: 0.014
[10,    11] loss: 0.023
[10,    16] loss: 0.225
[10,    21] loss: 0.003
[10,    26] loss: 0.218
[10,    31] loss: 0.158
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.002
[11,     6] loss: 0.005
[11,    11] loss: 0.018
[11,    16] loss: 0.182
[11,    21] loss: 0.002
[11,    26] loss: 0.011
[11,    31] loss: 0.006
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.004
[12,     6] loss: 0.001
[12,    11] loss: 0.010
[12,    16] loss: 0.003
[12,    21] loss: 0.011
[12,    26] loss: 0.002
[12,    31] loss: 0.001
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.015
[13,     6] loss: 0.012
[13,    11] loss: 0.006
[13,    16] loss: 0.001
[13,    21] loss: 0.008
[13,    26] loss: 0.006
[13,    31] loss: 0.005
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.001
[14,     6] loss: 0.012
[14,    11] loss: 0.001
[14,    16] loss: 0.006
[14,    21] loss: 0.008
[14,    26] loss: 0.004
[14,    31] loss: 0.003
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.005
[15,     6] loss: 0.200
[15,    11] loss: 0.010
[15,    16] loss: 0.004
[15,    21] loss: 0.009
[15,    26] loss: 0.002
[15,    31] loss: 0.006
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.001
[16,     6] loss: 0.015
[16,    11] loss: 0.010
[16,    16] loss: 0.189
[16,    21] loss: 0.009
[16,    26] loss: 0.002
[16,    31] loss: 0.004
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.035
[17,     6] loss: 0.203
[17,    11] loss: 0.012
[17,    16] loss: 0.002
[17,    21] loss: 0.001
[17,    26] loss: 0.014
[17,    31] loss: 0.001
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.008
[18,     6] loss: 0.002
[18,    11] loss: 0.001
[18,    16] loss: 0.007
[18,    21] loss: 0.184
[18,    26] loss: 0.006
[18,    31] loss: 0.001
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.005
[19,     6] loss: 0.005
[19,    11] loss: 0.411
[19,    16] loss: 0.004
[19,    21] loss: 0.012
[19,    26] loss: 0.001
[19,    31] loss: 0.009
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.010
[20,     6] loss: 0.004
[20,    11] loss: 0.160
[20,    16] loss: 0.035
[20,    21] loss: 0.007
[20,    26] loss: 0.004
[20,    31] loss: 0.025
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.003
[21,     6] loss: 0.011
[21,    11] loss: 0.024
[21,    16] loss: 0.171
[21,    21] loss: 0.002
[21,    26] loss: 0.002
[21,    31] loss: 0.011
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.002
[22,     6] loss: 0.006
[22,    11] loss: 0.003
[22,    16] loss: 0.001
[22,    21] loss: 0.013
[22,    26] loss: 0.015
[22,    31] loss: 0.004
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.197
[23,     6] loss: 0.152
[23,    11] loss: 0.004
[23,    16] loss: 0.023
[23,    21] loss: 0.012
[23,    26] loss: 0.018
[23,    31] loss: 0.001
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.012
[24,     6] loss: 0.005
[24,    11] loss: 0.003
[24,    16] loss: 0.005
[24,    21] loss: 0.024
[24,    26] loss: 0.009
[24,    31] loss: 0.005
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.006
[25,     6] loss: 0.003
[25,    11] loss: 0.007
[25,    16] loss: 0.003
[25,    21] loss: 0.004
[25,    26] loss: 0.006
[25,    31] loss: 0.027
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.007
[26,     6] loss: 0.006
[26,    11] loss: 0.006
[26,    16] loss: 0.017
[26,    21] loss: 0.016
[26,    26] loss: 0.007
[26,    31] loss: 0.008
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.012
[27,     6] loss: 0.004
[27,    11] loss: 0.011
[27,    16] loss: 0.006
[27,    21] loss: 0.001
[27,    26] loss: 0.001
[27,    31] loss: 0.008
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.011
[28,     6] loss: 0.001
[28,    11] loss: 0.201
[28,    16] loss: 0.006
[28,    21] loss: 0.001
[28,    26] loss: 0.001
[28,    31] loss: 0.005
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.013
[29,     6] loss: 0.002
[29,    11] loss: 0.006
[29,    16] loss: 0.341
[29,    21] loss: 0.017
[29,    26] loss: 0.010
[29,    31] loss: 0.011
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.015
[30,     6] loss: 0.007
[30,    11] loss: 0.203
[30,    16] loss: 0.014
[30,    21] loss: 0.002
[30,    26] loss: 0.007
[30,    31] loss: 0.018
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.001
[31,     6] loss: 0.006
[31,    11] loss: 0.012
[31,    16] loss: 0.001
[31,    21] loss: 0.001
[31,    26] loss: 0.214
[31,    31] loss: 0.012
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.001
[32,     6] loss: 0.007
[32,    11] loss: 0.002
[32,    16] loss: 0.001
[32,    21] loss: 0.163
[32,    26] loss: 0.002
[32,    31] loss: 0.007
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.012
[33,     6] loss: 0.007
[33,    11] loss: 0.224
[33,    16] loss: 0.011
[33,    21] loss: 0.029
[33,    26] loss: 0.007
[33,    31] loss: 0.012
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.005
[34,     6] loss: 0.001
[34,    11] loss: 0.008
[34,    16] loss: 0.005
[34,    21] loss: 0.165
[34,    26] loss: 0.012
[34,    31] loss: 0.010
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.006
[35,     6] loss: 0.006
[35,    11] loss: 0.002
[35,    16] loss: 0.003
[35,    21] loss: 0.197
[35,    26] loss: 0.006
[35,    31] loss: 0.184
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.159
[36,     6] loss: 0.019
[36,    11] loss: 0.010
[36,    16] loss: 0.008
[36,    21] loss: 0.006
[36,    26] loss: 0.008
[36,    31] loss: 0.013
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.000
[37,     6] loss: 0.007
[37,    11] loss: 0.010
[37,    16] loss: 0.007
[37,    21] loss: 0.001
[37,    26] loss: 0.010
[37,    31] loss: 0.009
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.027
[38,     6] loss: 0.009
[38,    11] loss: 0.007
[38,    16] loss: 0.005
[38,    21] loss: 0.006
[38,    26] loss: 0.010
[38,    31] loss: 0.009
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.010
[39,     6] loss: 0.008
[39,    11] loss: 0.006
[39,    16] loss: 0.006
[39,    21] loss: 0.014
[39,    26] loss: 0.013
[39,    31] loss: 0.008
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.017
[40,     6] loss: 0.022
[40,    11] loss: 0.006
[40,    16] loss: 0.012
[40,    21] loss: 0.029
[40,    26] loss: 0.002
[40,    31] loss: 0.001
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.179
[41,     6] loss: 0.001
[41,    11] loss: 0.007
[41,    16] loss: 0.006
[41,    21] loss: 0.009
[41,    26] loss: 0.001
[41,    31] loss: 0.011
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.022
[42,     6] loss: 0.010
[42,    11] loss: 0.000
[42,    16] loss: 0.004
[42,    21] loss: 0.005
[42,    26] loss: 0.013
[42,    31] loss: 0.005
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.008
[43,     6] loss: 0.005
[43,    11] loss: 0.006
[43,    16] loss: 0.002
[43,    21] loss: 0.012
[43,    26] loss: 0.037
[43,    31] loss: 0.001
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.186
[44,     6] loss: 0.000
[44,    11] loss: 0.006
[44,    16] loss: 0.152
[44,    21] loss: 0.010
[44,    26] loss: 0.008
[44,    31] loss: 0.017
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.007
[45,     6] loss: 0.004
[45,    11] loss: 0.003
[45,    16] loss: 0.000
[45,    21] loss: 0.216
[45,    26] loss: 0.001
[45,    31] loss: 0.169
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.048
[46,     6] loss: 0.008
[46,    11] loss: 0.006
[46,    16] loss: 0.006
[46,    21] loss: 0.004
[46,    26] loss: 0.014
[46,    31] loss: 0.013
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.176
[47,     6] loss: 0.001
[47,    11] loss: 0.023
[47,    16] loss: 0.007
[47,    21] loss: 0.007
[47,    26] loss: 0.014
[47,    31] loss: 0.007
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.003
[48,     6] loss: 0.007
[48,    11] loss: 0.000
[48,    16] loss: 0.001
[48,    21] loss: 0.003
[48,    26] loss: 0.007
[48,    31] loss: 0.007
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.012
[49,     6] loss: 0.007
[49,    11] loss: 0.003
[49,    16] loss: 0.006
[49,    21] loss: 0.007
[49,    26] loss: 0.014
[49,    31] loss: 0.002
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.010
[50,     6] loss: 0.004
[50,    11] loss: 0.011
[50,    16] loss: 0.006
[50,    21] loss: 0.004
[50,    26] loss: 0.008
[50,    31] loss: 0.010
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.008
[51,     6] loss: 0.006
[51,    11] loss: 0.005
[51,    16] loss: 0.006
[51,    21] loss: 0.008
[51,    26] loss: 0.011
[51,    31] loss: 0.001
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.015
[52,     6] loss: 0.001
[52,    11] loss: 0.014
[52,    16] loss: 0.010
[52,    21] loss: 0.014
[52,    26] loss: 0.008
[52,    31] loss: 0.000
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.007
[53,     6] loss: 0.005
[53,    11] loss: 0.006
[53,    16] loss: 0.013
[53,    21] loss: 0.017
[53,    26] loss: 0.001
[53,    31] loss: 0.006
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.020
[54,     6] loss: 0.005
[54,    11] loss: 0.009
[54,    16] loss: 0.003
[54,    21] loss: 0.008
[54,    26] loss: 0.000
[54,    31] loss: 0.016
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.144
[55,     6] loss: 0.009
[55,    11] loss: 0.003
[55,    16] loss: 0.006
[55,    21] loss: 0.010
[55,    26] loss: 0.001
[55,    31] loss: 0.014
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.016
[56,     6] loss: 0.001
[56,    11] loss: 0.017
[56,    16] loss: 0.194
[56,    21] loss: 0.017
[56,    26] loss: 0.006
[56,    31] loss: 0.001
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.005
[57,     6] loss: 0.006
[57,    11] loss: 0.023
[57,    16] loss: 0.002
[57,    21] loss: 0.006
[57,    26] loss: 0.019
[57,    31] loss: 0.005
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.009
[58,     6] loss: 0.004
[58,    11] loss: 0.002
[58,    16] loss: 0.001
[58,    21] loss: 0.175
[58,    26] loss: 0.004
[58,    31] loss: 0.211
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.008
[59,     6] loss: 0.004
[59,    11] loss: 0.001
[59,    16] loss: 0.011
[59,    21] loss: 0.008
[59,    26] loss: 0.000
[59,    31] loss: 0.004
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.000
[60,     6] loss: 0.001
[60,    11] loss: 0.177
[60,    16] loss: 0.009
[60,    21] loss: 0.001
[60,    26] loss: 0.001
[60,    31] loss: 0.004
[[203   0]
 [  0  24]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_pink_cell_on_left
687
67
CONCEPT SAMPLE COUNT concept_pink_cell_on_left 67 687
527 227
[1,     1] loss: 0.677
[1,     6] loss: 0.706
[1,    11] loss: 0.587
[1,    16] loss: 0.256
[1,    21] loss: 0.268
[1,    26] loss: 0.242
[1,    31] loss: 0.074
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[2,     1] loss: 0.051
[2,     6] loss: 0.263
[2,    11] loss: 0.185
[2,    16] loss: 0.231
[2,    21] loss: 0.408
[2,    26] loss: 0.241
[2,    31] loss: 0.382
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[3,     1] loss: 0.207
[3,     6] loss: 0.287
[3,    11] loss: 0.301
[3,    16] loss: 0.264
[3,    21] loss: 0.244
[3,    26] loss: 0.025
[3,    31] loss: 0.015
[[207   0]
 [ 15   5]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 93 %
[4,     1] loss: 0.264
[4,     6] loss: 0.106
[4,    11] loss: 0.114
[4,    16] loss: 0.096
[4,    21] loss: 0.176
[4,    26] loss: 0.183
[4,    31] loss: 0.069
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.049
[5,     6] loss: 0.014
[5,    11] loss: 0.031
[5,    16] loss: 0.046
[5,    21] loss: 0.034
[5,    26] loss: 0.027
[5,    31] loss: 0.045
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.030
[6,     6] loss: 0.040
[6,    11] loss: 0.015
[6,    16] loss: 0.017
[6,    21] loss: 0.006
[6,    26] loss: 0.005
[6,    31] loss: 0.000
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.007
[7,     6] loss: 0.011
[7,    11] loss: 0.000
[7,    16] loss: 0.003
[7,    21] loss: 0.012
[7,    26] loss: 0.008
[7,    31] loss: 0.065
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.012
[8,     6] loss: 0.039
[8,    11] loss: 0.000
[8,    16] loss: 0.005
[8,    21] loss: 0.021
[8,    26] loss: 0.012
[8,    31] loss: 0.215
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.013
[9,     6] loss: 0.010
[9,    11] loss: 0.010
[9,    16] loss: 0.012
[9,    21] loss: 0.006
[9,    26] loss: 0.001
[9,    31] loss: 0.013
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.010
[10,     6] loss: 0.009
[10,    11] loss: 0.007
[10,    16] loss: 0.008
[10,    21] loss: 0.006
[10,    26] loss: 0.011
[10,    31] loss: 0.080
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.016
[11,     6] loss: 0.008
[11,    11] loss: 0.015
[11,    16] loss: 0.003
[11,    21] loss: 0.009
[11,    26] loss: 0.012
[11,    31] loss: 0.013
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.020
[12,     6] loss: 0.026
[12,    11] loss: 0.007
[12,    16] loss: 0.003
[12,    21] loss: 0.007
[12,    26] loss: 0.000
[12,    31] loss: 0.144
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.001
[13,     6] loss: 0.018
[13,    11] loss: 0.017
[13,    16] loss: 0.019
[13,    21] loss: 0.015
[13,    26] loss: 0.001
[13,    31] loss: 0.009
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.018
[14,     6] loss: 0.018
[14,    11] loss: 0.009
[14,    16] loss: 0.008
[14,    21] loss: 0.005
[14,    26] loss: 0.012
[14,    31] loss: 0.001
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.008
[15,     6] loss: 0.024
[15,    11] loss: 0.011
[15,    16] loss: 0.042
[15,    21] loss: 0.018
[15,    26] loss: 0.001
[15,    31] loss: 0.005
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.006
[16,     6] loss: 0.005
[16,    11] loss: 0.015
[16,    16] loss: 0.006
[16,    21] loss: 0.014
[16,    26] loss: 0.019
[16,    31] loss: 0.027
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.018
[17,     6] loss: 0.001
[17,    11] loss: 0.208
[17,    16] loss: 0.013
[17,    21] loss: 0.005
[17,    26] loss: 0.002
[17,    31] loss: 0.206
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.006
[18,     6] loss: 0.079
[18,    11] loss: 0.003
[18,    16] loss: 0.044
[18,    21] loss: 0.019
[18,    26] loss: 0.001
[18,    31] loss: 0.010
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.000
[19,     6] loss: 0.006
[19,    11] loss: 0.005
[19,    16] loss: 0.014
[19,    21] loss: 0.001
[19,    26] loss: 0.001
[19,    31] loss: 0.190
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.020
[20,     6] loss: 0.001
[20,    11] loss: 0.013
[20,    16] loss: 0.004
[20,    21] loss: 0.008
[20,    26] loss: 0.012
[20,    31] loss: 0.028
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.001
[21,     6] loss: 0.032
[21,    11] loss: 0.009
[21,    16] loss: 0.010
[21,    21] loss: 0.006
[21,    26] loss: 0.027
[21,    31] loss: 0.006
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.006
[22,     6] loss: 0.021
[22,    11] loss: 0.000
[22,    16] loss: 0.020
[22,    21] loss: 0.018
[22,    26] loss: 0.011
[22,    31] loss: 0.006
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.010
[23,     6] loss: 0.023
[23,    11] loss: 0.008
[23,    16] loss: 0.007
[23,    21] loss: 0.005
[23,    26] loss: 0.007
[23,    31] loss: 0.016
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.015
[24,     6] loss: 0.001
[24,    11] loss: 0.008
[24,    16] loss: 0.007
[24,    21] loss: 0.001
[24,    26] loss: 0.003
[24,    31] loss: 0.006
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.005
[25,     6] loss: 0.001
[25,    11] loss: 0.008
[25,    16] loss: 0.004
[25,    21] loss: 0.000
[25,    26] loss: 0.007
[25,    31] loss: 0.200
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.020
[26,     6] loss: 0.001
[26,    11] loss: 0.000
[26,    16] loss: 0.024
[26,    21] loss: 0.004
[26,    26] loss: 0.007
[26,    31] loss: 0.002
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.007
[27,     6] loss: 0.013
[27,    11] loss: 0.012
[27,    16] loss: 0.013
[27,    21] loss: 0.005
[27,    26] loss: 0.000
[27,    31] loss: 0.241
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.010
[28,     6] loss: 0.010
[28,    11] loss: 0.007
[28,    16] loss: 0.025
[28,    21] loss: 0.012
[28,    26] loss: 0.170
[28,    31] loss: 0.014
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.001
[29,     6] loss: 0.017
[29,    11] loss: 0.007
[29,    16] loss: 0.004
[29,    21] loss: 0.009
[29,    26] loss: 0.014
[29,    31] loss: 0.001
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.021
[30,     6] loss: 0.005
[30,    11] loss: 0.010
[30,    16] loss: 0.003
[30,    21] loss: 0.000
[30,    26] loss: 0.004
[30,    31] loss: 0.138
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.001
[31,     6] loss: 0.008
[31,    11] loss: 0.030
[31,    16] loss: 0.006
[31,    21] loss: 0.004
[31,    26] loss: 0.022
[31,    31] loss: 0.180
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.000
[32,     6] loss: 0.015
[32,    11] loss: 0.005
[32,    16] loss: 0.006
[32,    21] loss: 0.006
[32,    26] loss: 0.176
[32,    31] loss: 0.011
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.016
[33,     6] loss: 0.002
[33,    11] loss: 0.001
[33,    16] loss: 0.001
[33,    21] loss: 0.005
[33,    26] loss: 0.031
[33,    31] loss: 0.004
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.009
[34,     6] loss: 0.001
[34,    11] loss: 0.009
[34,    16] loss: 0.148
[34,    21] loss: 0.021
[34,    26] loss: 0.001
[34,    31] loss: 0.012
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.000
[35,     6] loss: 0.192
[35,    11] loss: 0.007
[35,    16] loss: 0.000
[35,    21] loss: 0.002
[35,    26] loss: 0.005
[35,    31] loss: 0.000
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.023
[36,     6] loss: 0.006
[36,    11] loss: 0.001
[36,    16] loss: 0.010
[36,    21] loss: 0.009
[36,    26] loss: 0.004
[36,    31] loss: 0.221
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.001
[37,     6] loss: 0.005
[37,    11] loss: 0.000
[37,    16] loss: 0.025
[37,    21] loss: 0.019
[37,    26] loss: 0.198
[37,    31] loss: 0.001
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.176
[38,     6] loss: 0.013
[38,    11] loss: 0.159
[38,    16] loss: 0.014
[38,    21] loss: 0.010
[38,    26] loss: 0.014
[38,    31] loss: 0.002
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.006
[39,     6] loss: 0.000
[39,    11] loss: 0.005
[39,    16] loss: 0.002
[39,    21] loss: 0.231
[39,    26] loss: 0.005
[39,    31] loss: 0.000
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.021
[40,     6] loss: 0.038
[40,    11] loss: 0.007
[40,    16] loss: 0.009
[40,    21] loss: 0.005
[40,    26] loss: 0.004
[40,    31] loss: 0.006
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.007
[41,     6] loss: 0.006
[41,    11] loss: 0.003
[41,    16] loss: 0.003
[41,    21] loss: 0.002
[41,    26] loss: 0.003
[41,    31] loss: 0.503
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.025
[42,     6] loss: 0.048
[42,    11] loss: 0.026
[42,    16] loss: 0.164
[42,    21] loss: 0.024
[42,    26] loss: 0.013
[42,    31] loss: 0.006
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.018
[43,     6] loss: 0.006
[43,    11] loss: 0.028
[43,    16] loss: 0.007
[43,    21] loss: 0.003
[43,    26] loss: 0.177
[43,    31] loss: 0.001
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.001
[44,     6] loss: 0.011
[44,    11] loss: 0.000
[44,    16] loss: 0.008
[44,    21] loss: 0.001
[44,    26] loss: 0.232
[44,    31] loss: 0.204
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.141
[45,     6] loss: 0.023
[45,    11] loss: 0.013
[45,    16] loss: 0.004
[45,    21] loss: 0.000
[45,    26] loss: 0.214
[45,    31] loss: 0.017
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.017
[46,     6] loss: 0.008
[46,    11] loss: 0.006
[46,    16] loss: 0.007
[46,    21] loss: 0.010
[46,    26] loss: 0.001
[46,    31] loss: 0.211
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.010
[47,     6] loss: 0.012
[47,    11] loss: 0.005
[47,    16] loss: 0.000
[47,    21] loss: 0.321
[47,    26] loss: 0.017
[47,    31] loss: 0.004
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.159
[48,     6] loss: 0.019
[48,    11] loss: 0.004
[48,    16] loss: 0.018
[48,    21] loss: 0.001
[48,    26] loss: 0.010
[48,    31] loss: 0.006
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.007
[49,     6] loss: 0.003
[49,    11] loss: 0.005
[49,    16] loss: 0.002
[49,    21] loss: 0.000
[49,    26] loss: 0.004
[49,    31] loss: 0.173
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.013
[50,     6] loss: 0.000
[50,    11] loss: 0.186
[50,    16] loss: 0.001
[50,    21] loss: 0.000
[50,    26] loss: 0.017
[50,    31] loss: 0.007
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.001
[51,     6] loss: 0.024
[51,    11] loss: 0.010
[51,    16] loss: 0.007
[51,    21] loss: 0.003
[51,    26] loss: 0.003
[51,    31] loss: 0.001
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.015
[52,     6] loss: 0.016
[52,    11] loss: 0.006
[52,    16] loss: 0.000
[52,    21] loss: 0.007
[52,    26] loss: 0.216
[52,    31] loss: 0.004
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.017
[53,     6] loss: 0.016
[53,    11] loss: 0.011
[53,    16] loss: 0.023
[53,    21] loss: 0.005
[53,    26] loss: 0.006
[53,    31] loss: 0.001
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.006
[54,     6] loss: 0.001
[54,    11] loss: 0.004
[54,    16] loss: 0.000
[54,    21] loss: 0.010
[54,    26] loss: 0.009
[54,    31] loss: 0.176
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.009
[55,     6] loss: 0.006
[55,    11] loss: 0.008
[55,    16] loss: 0.007
[55,    21] loss: 0.010
[55,    26] loss: 0.021
[55,    31] loss: 0.008
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.009
[56,     6] loss: 0.030
[56,    11] loss: 0.010
[56,    16] loss: 0.006
[56,    21] loss: 0.000
[56,    26] loss: 0.004
[56,    31] loss: 0.004
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.009
[57,     6] loss: 0.224
[57,    11] loss: 0.017
[57,    16] loss: 0.000
[57,    21] loss: 0.008
[57,    26] loss: 0.007
[57,    31] loss: 0.003
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.004
[58,     6] loss: 0.002
[58,    11] loss: 0.032
[58,    16] loss: 0.005
[58,    21] loss: 0.004
[58,    26] loss: 0.009
[58,    31] loss: 0.011
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.004
[59,     6] loss: 0.004
[59,    11] loss: 0.007
[59,    16] loss: 0.008
[59,    21] loss: 0.005
[59,    26] loss: 0.010
[59,    31] loss: 0.006
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.004
[60,     6] loss: 0.001
[60,    11] loss: 0.000
[60,    16] loss: 0.005
[60,    21] loss: 0.208
[60,    26] loss: 0.001
[60,    31] loss: 0.007
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_pink_cell_on_right
684
70
CONCEPT SAMPLE COUNT concept_pink_cell_on_right 70 684
527 227
[1,     1] loss: 1.027
[1,     6] loss: 0.605
[1,    11] loss: 0.995
[1,    16] loss: 0.233
[1,    21] loss: 0.474
[1,    26] loss: 0.151
[1,    31] loss: 0.463
[[215   0]
 [ 12   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 94 %
[2,     1] loss: 0.321
[2,     6] loss: 0.410
[2,    11] loss: 0.467
[2,    16] loss: 0.382
[2,    21] loss: 0.424
[2,    26] loss: 0.015
[2,    31] loss: 0.035
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[3,     1] loss: 0.003
[3,     6] loss: 0.018
[3,    11] loss: 0.015
[3,    16] loss: 0.000
[3,    21] loss: 0.006
[3,    26] loss: 0.015
[3,    31] loss: 0.006
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[4,     1] loss: 0.004
[4,     6] loss: 0.032
[4,    11] loss: 0.013
[4,    16] loss: 0.004
[4,    21] loss: 0.003
[4,    26] loss: 0.001
[4,    31] loss: 0.002
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[5,     1] loss: 0.002
[5,     6] loss: 0.230
[5,    11] loss: 0.035
[5,    16] loss: 0.007
[5,    21] loss: 0.004
[5,    26] loss: 0.001
[5,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[6,     1] loss: 0.004
[6,     6] loss: 0.001
[6,    11] loss: 0.003
[6,    16] loss: 0.003
[6,    21] loss: 0.001
[6,    26] loss: 0.005
[6,    31] loss: 0.004
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[7,     1] loss: 0.002
[7,     6] loss: 0.001
[7,    11] loss: 0.003
[7,    16] loss: 0.039
[7,    21] loss: 0.002
[7,    26] loss: 0.001
[7,    31] loss: 0.002
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[8,     1] loss: 0.003
[8,     6] loss: 0.001
[8,    11] loss: 0.001
[8,    16] loss: 0.001
[8,    21] loss: 0.000
[8,    26] loss: 0.001
[8,    31] loss: 0.053
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[9,     1] loss: 0.023
[9,     6] loss: 0.005
[9,    11] loss: 0.002
[9,    16] loss: 0.038
[9,    21] loss: 0.002
[9,    26] loss: 0.001
[9,    31] loss: 0.006
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[10,     1] loss: 0.001
[10,     6] loss: 0.003
[10,    11] loss: 0.234
[10,    16] loss: 0.004
[10,    21] loss: 0.006
[10,    26] loss: 0.004
[10,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[11,     1] loss: 0.001
[11,     6] loss: 0.001
[11,    11] loss: 0.016
[11,    16] loss: 0.003
[11,    21] loss: 0.008
[11,    26] loss: 0.001
[11,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[12,     1] loss: 0.001
[12,     6] loss: 0.001
[12,    11] loss: 0.010
[12,    16] loss: 0.001
[12,    21] loss: 0.001
[12,    26] loss: 0.006
[12,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[13,     1] loss: 0.001
[13,     6] loss: 0.001
[13,    11] loss: 0.001
[13,    16] loss: 0.001
[13,    21] loss: 0.006
[13,    26] loss: 0.002
[13,    31] loss: 0.003
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[14,     1] loss: 0.003
[14,     6] loss: 0.001
[14,    11] loss: 0.001
[14,    16] loss: 0.003
[14,    21] loss: 0.002
[14,    26] loss: 0.011
[14,    31] loss: 0.004
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[15,     1] loss: 0.001
[15,     6] loss: 0.001
[15,    11] loss: 0.000
[15,    16] loss: 0.004
[15,    21] loss: 0.001
[15,    26] loss: 0.002
[15,    31] loss: 0.008
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[16,     1] loss: 0.007
[16,     6] loss: 0.001
[16,    11] loss: 0.003
[16,    16] loss: 0.001
[16,    21] loss: 0.001
[16,    26] loss: 0.004
[16,    31] loss: 0.003
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[17,     1] loss: 0.001
[17,     6] loss: 0.001
[17,    11] loss: 0.000
[17,    16] loss: 0.001
[17,    21] loss: 0.003
[17,    26] loss: 0.001
[17,    31] loss: 0.022
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[18,     1] loss: 0.002
[18,     6] loss: 0.003
[18,    11] loss: 0.003
[18,    16] loss: 0.004
[18,    21] loss: 0.003
[18,    26] loss: 0.001
[18,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[19,     1] loss: 0.001
[19,     6] loss: 0.001
[19,    11] loss: 0.002
[19,    16] loss: 0.006
[19,    21] loss: 0.003
[19,    26] loss: 0.007
[19,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[20,     1] loss: 0.001
[20,     6] loss: 0.004
[20,    11] loss: 0.001
[20,    16] loss: 0.003
[20,    21] loss: 0.003
[20,    26] loss: 0.004
[20,    31] loss: 0.000
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[21,     1] loss: 0.001
[21,     6] loss: 0.003
[21,    11] loss: 0.004
[21,    16] loss: 0.001
[21,    21] loss: 0.001
[21,    26] loss: 0.003
[21,    31] loss: 0.015
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[22,     1] loss: 0.010
[22,     6] loss: 0.007
[22,    11] loss: 0.193
[22,    16] loss: 0.001
[22,    21] loss: 0.001
[22,    26] loss: 0.002
[22,    31] loss: 0.000
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[23,     1] loss: 0.001
[23,     6] loss: 0.000
[23,    11] loss: 0.001
[23,    16] loss: 0.000
[23,    21] loss: 0.236
[23,    26] loss: 0.008
[23,    31] loss: 0.009
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[24,     1] loss: 0.001
[24,     6] loss: 0.001
[24,    11] loss: 0.000
[24,    16] loss: 0.019
[24,    21] loss: 0.000
[24,    26] loss: 0.000
[24,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[25,     1] loss: 0.199
[25,     6] loss: 0.001
[25,    11] loss: 0.001
[25,    16] loss: 0.004
[25,    21] loss: 0.000
[25,    26] loss: 0.001
[25,    31] loss: 0.003
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[26,     1] loss: 0.000
[26,     6] loss: 0.001
[26,    11] loss: 0.002
[26,    16] loss: 0.000
[26,    21] loss: 0.010
[26,    26] loss: 0.011
[26,    31] loss: 0.002
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[27,     1] loss: 0.001
[27,     6] loss: 0.001
[27,    11] loss: 0.017
[27,    16] loss: 0.007
[27,    21] loss: 0.001
[27,    26] loss: 0.003
[27,    31] loss: 0.003
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[28,     1] loss: 0.000
[28,     6] loss: 0.002
[28,    11] loss: 0.004
[28,    16] loss: 0.001
[28,    21] loss: 0.001
[28,    26] loss: 0.001
[28,    31] loss: 0.010
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[29,     1] loss: 0.001
[29,     6] loss: 0.002
[29,    11] loss: 0.009
[29,    16] loss: 0.014
[29,    21] loss: 0.001
[29,    26] loss: 0.000
[29,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[30,     1] loss: 0.002
[30,     6] loss: 0.002
[30,    11] loss: 0.000
[30,    16] loss: 0.001
[30,    21] loss: 0.003
[30,    26] loss: 0.006
[30,    31] loss: 0.004
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[31,     1] loss: 0.008
[31,     6] loss: 0.000
[31,    11] loss: 0.003
[31,    16] loss: 0.000
[31,    21] loss: 0.000
[31,    26] loss: 0.000
[31,    31] loss: 0.004
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[32,     1] loss: 0.001
[32,     6] loss: 0.008
[32,    11] loss: 0.001
[32,    16] loss: 0.001
[32,    21] loss: 0.001
[32,    26] loss: 0.023
[32,    31] loss: 0.002
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[33,     1] loss: 0.001
[33,     6] loss: 0.003
[33,    11] loss: 0.006
[33,    16] loss: 0.007
[33,    21] loss: 0.001
[33,    26] loss: 0.008
[33,    31] loss: 0.003
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[34,     1] loss: 0.001
[34,     6] loss: 0.003
[34,    11] loss: 0.015
[34,    16] loss: 0.002
[34,    21] loss: 0.012
[34,    26] loss: 0.004
[34,    31] loss: 0.000
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[35,     1] loss: 0.001
[35,     6] loss: 0.001
[35,    11] loss: 0.026
[35,    16] loss: 0.007
[35,    21] loss: 0.001
[35,    26] loss: 0.008
[35,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[36,     1] loss: 0.005
[36,     6] loss: 0.001
[36,    11] loss: 0.225
[36,    16] loss: 0.004
[36,    21] loss: 0.002
[36,    26] loss: 0.000
[36,    31] loss: 0.003
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[37,     1] loss: 0.001
[37,     6] loss: 0.001
[37,    11] loss: 0.000
[37,    16] loss: 0.217
[37,    21] loss: 0.001
[37,    26] loss: 0.001
[37,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[38,     1] loss: 0.001
[38,     6] loss: 0.002
[38,    11] loss: 0.000
[38,    16] loss: 0.001
[38,    21] loss: 0.001
[38,    26] loss: 0.000
[38,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[39,     1] loss: 0.009
[39,     6] loss: 0.002
[39,    11] loss: 0.003
[39,    16] loss: 0.003
[39,    21] loss: 0.003
[39,    26] loss: 0.001
[39,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[40,     1] loss: 0.004
[40,     6] loss: 0.004
[40,    11] loss: 0.009
[40,    16] loss: 0.002
[40,    21] loss: 0.013
[40,    26] loss: 0.001
[40,    31] loss: 0.000
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[41,     1] loss: 0.005
[41,     6] loss: 0.001
[41,    11] loss: 0.000
[41,    16] loss: 0.001
[41,    21] loss: 0.023
[41,    26] loss: 0.001
[41,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
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: 0.001
[42,    21] loss: 0.005
[42,    26] loss: 0.001
[42,    31] loss: 0.000
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[43,     1] loss: 0.207
[43,     6] loss: 0.009
[43,    11] loss: 0.006
[43,    16] loss: 0.000
[43,    21] loss: 0.003
[43,    26] loss: 0.001
[43,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[44,     1] loss: 0.003
[44,     6] loss: 0.003
[44,    11] loss: 0.002
[44,    16] loss: 0.003
[44,    21] loss: 0.001
[44,    26] loss: 0.005
[44,    31] loss: 0.004
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[45,     1] loss: 0.201
[45,     6] loss: 0.002
[45,    11] loss: 0.013
[45,    16] loss: 0.001
[45,    21] loss: 0.004
[45,    26] loss: 0.000
[45,    31] loss: 0.002
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[46,     1] loss: 0.003
[46,     6] loss: 0.002
[46,    11] loss: 0.002
[46,    16] loss: 0.014
[46,    21] loss: 0.004
[46,    26] loss: 0.001
[46,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[47,     1] loss: 0.001
[47,     6] loss: 0.003
[47,    11] loss: 0.017
[47,    16] loss: 0.001
[47,    21] loss: 0.004
[47,    26] loss: 0.004
[47,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[48,     1] loss: 0.003
[48,     6] loss: 0.001
[48,    11] loss: 0.003
[48,    16] loss: 0.000
[48,    21] loss: 0.001
[48,    26] loss: 0.002
[48,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[49,     1] loss: 0.001
[49,     6] loss: 0.003
[49,    11] loss: 0.000
[49,    16] loss: 0.003
[49,    21] loss: 0.000
[49,    26] loss: 0.000
[49,    31] loss: 0.002
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[50,     1] loss: 0.005
[50,     6] loss: 0.009
[50,    11] loss: 0.001
[50,    16] loss: 0.000
[50,    21] loss: 0.001
[50,    26] loss: 0.002
[50,    31] loss: 0.006
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[51,     1] loss: 0.005
[51,     6] loss: 0.001
[51,    11] loss: 0.001
[51,    16] loss: 0.010
[51,    21] loss: 0.004
[51,    26] loss: 0.003
[51,    31] loss: 0.002
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[52,     1] loss: 0.001
[52,     6] loss: 0.173
[52,    11] loss: 0.043
[52,    16] loss: 0.001
[52,    21] loss: 0.000
[52,    26] loss: 0.004
[52,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[53,     1] loss: 0.001
[53,     6] loss: 0.003
[53,    11] loss: 0.001
[53,    16] loss: 0.006
[53,    21] loss: 0.006
[53,    26] loss: 0.004
[53,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[54,     1] loss: 0.001
[54,     6] loss: 0.010
[54,    11] loss: 0.002
[54,    16] loss: 0.001
[54,    21] loss: 0.004
[54,    26] loss: 0.003
[54,    31] loss: 0.003
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[55,     1] loss: 0.001
[55,     6] loss: 0.002
[55,    11] loss: 0.003
[55,    16] loss: 0.001
[55,    21] loss: 0.001
[55,    26] loss: 0.001
[55,    31] loss: 0.000
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[56,     1] loss: 0.000
[56,     6] loss: 0.001
[56,    11] loss: 0.000
[56,    16] loss: 0.004
[56,    21] loss: 0.002
[56,    26] loss: 0.001
[56,    31] loss: 0.008
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[57,     1] loss: 0.002
[57,     6] loss: 0.001
[57,    11] loss: 0.013
[57,    16] loss: 0.001
[57,    21] loss: 0.002
[57,    26] loss: 0.004
[57,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[58,     1] loss: 0.000
[58,     6] loss: 0.016
[58,    11] loss: 0.001
[58,    16] loss: 0.001
[58,    21] loss: 0.004
[58,    26] loss: 0.003
[58,    31] loss: 0.001
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[59,     1] loss: 0.003
[59,     6] loss: 0.005
[59,    11] loss: 0.002
[59,    16] loss: 0.006
[59,    21] loss: 0.001
[59,    26] loss: 0.003
[59,    31] loss: 0.003
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[60,     1] loss: 0.001
[60,     6] loss: 0.001
[60,    11] loss: 0.002
[60,    16] loss: 0.001
[60,    21] loss: 0.000
[60,    26] loss: 0.001
[60,    31] loss: 0.244
[[213   2]
 [  0  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_pink_cell_on_top
686
68
CONCEPT SAMPLE COUNT concept_pink_cell_on_top 68 686
527 227
[1,     1] loss: 0.313
[1,     6] loss: 3.934
[1,    11] loss: 0.121
[1,    16] loss: 0.402
[1,    21] loss: 0.227
[1,    26] loss: 0.101
[1,    31] loss: 0.234
[[205   0]
 [ 22   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 90 %
[2,     1] loss: 0.083
[2,     6] loss: 0.417
[2,    11] loss: 0.067
[2,    16] loss: 0.371
[2,    21] loss: 0.066
[2,    26] loss: 0.373
[2,    31] loss: 0.190
[[205   0]
 [ 22   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 90 %
[3,     1] loss: 0.221
[3,     6] loss: 0.232
[3,    11] loss: 0.248
[3,    16] loss: 0.231
[3,    21] loss: 0.228
[3,    26] loss: 0.367
[3,    31] loss: 0.381
[[205   0]
 [ 22   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 90 %
[4,     1] loss: 0.706
[4,     6] loss: 0.224
[4,    11] loss: 0.355
[4,    16] loss: 0.216
[4,    21] loss: 0.233
[4,    26] loss: 0.345
[4,    31] loss: 0.231
[[205   0]
 [ 22   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 90 %
[5,     1] loss: 0.341
[5,     6] loss: 0.222
[5,    11] loss: 0.221
[5,    16] loss: 0.449
[5,    21] loss: 0.204
[5,    26] loss: 0.572
[5,    31] loss: 0.231
[[205   0]
 [ 22   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 90 %
[6,     1] loss: 0.231
[6,     6] loss: 0.094
[6,    11] loss: 0.171
[6,    16] loss: 0.437
[6,    21] loss: 0.189
[6,    26] loss: 0.331
[6,    31] loss: 0.276
[[205   0]
 [ 22   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 90 %
[7,     1] loss: 0.232
[7,     6] loss: 0.255
[7,    11] loss: 0.383
[7,    16] loss: 0.208
[7,    21] loss: 0.243
[7,    26] loss: 0.375
[7,    31] loss: 0.418
[[205   0]
 [ 22   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 90 %
[8,     1] loss: 0.217
[8,     6] loss: 0.652
[8,    11] loss: 0.502
[8,    16] loss: 0.134
[8,    21] loss: 0.344
[8,    26] loss: 0.078
[8,    31] loss: 0.088
[[205   0]
 [ 11  11]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 95 %
[9,     1] loss: 0.025
[9,     6] loss: 0.081
[9,    11] loss: 0.243
[9,    16] loss: 0.224
[9,    21] loss: 0.108
[9,    26] loss: 0.254
[9,    31] loss: 0.068
[[205   0]
 [  7  15]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[10,     1] loss: 0.066
[10,     6] loss: 0.170
[10,    11] loss: 0.146
[10,    16] loss: 0.035
[10,    21] loss: 0.070
[10,    26] loss: 0.037
[10,    31] loss: 0.082
[[205   0]
 [  6  16]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[11,     1] loss: 0.165
[11,     6] loss: 0.010
[11,    11] loss: 0.151
[11,    16] loss: 0.071
[11,    21] loss: 0.010
[11,    26] loss: 0.023
[11,    31] loss: 0.017
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[12,     1] loss: 0.009
[12,     6] loss: 0.004
[12,    11] loss: 0.006
[12,    16] loss: 0.010
[12,    21] loss: 0.006
[12,    26] loss: 0.019
[12,    31] loss: 0.006
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[13,     1] loss: 0.007
[13,     6] loss: 0.009
[13,    11] loss: 0.019
[13,    16] loss: 0.014
[13,    21] loss: 0.031
[13,    26] loss: 0.014
[13,    31] loss: 0.007
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[14,     1] loss: 0.006
[14,     6] loss: 0.006
[14,    11] loss: 0.001
[14,    16] loss: 0.008
[14,    21] loss: 0.007
[14,    26] loss: 0.003
[14,    31] loss: 0.027
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[15,     1] loss: 0.002
[15,     6] loss: 0.001
[15,    11] loss: 0.004
[15,    16] loss: 0.038
[15,    21] loss: 0.006
[15,    26] loss: 0.008
[15,    31] loss: 0.007
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[16,     1] loss: 0.020
[16,     6] loss: 0.041
[16,    11] loss: 0.001
[16,    16] loss: 0.208
[16,    21] loss: 0.002
[16,    26] loss: 0.006
[16,    31] loss: 0.008
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[17,     1] loss: 0.010
[17,     6] loss: 0.004
[17,    11] loss: 0.003
[17,    16] loss: 0.021
[17,    21] loss: 0.007
[17,    26] loss: 0.003
[17,    31] loss: 0.007
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[18,     1] loss: 0.016
[18,     6] loss: 0.006
[18,    11] loss: 0.007
[18,    16] loss: 0.002
[18,    21] loss: 0.028
[18,    26] loss: 0.001
[18,    31] loss: 0.004
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[19,     1] loss: 0.023
[19,     6] loss: 0.005
[19,    11] loss: 0.008
[19,    16] loss: 0.011
[19,    21] loss: 0.003
[19,    26] loss: 0.002
[19,    31] loss: 0.009
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[20,     1] loss: 0.005
[20,     6] loss: 0.012
[20,    11] loss: 0.001
[20,    16] loss: 0.035
[20,    21] loss: 0.013
[20,    26] loss: 0.003
[20,    31] loss: 0.004
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[21,     1] loss: 0.006
[21,     6] loss: 0.009
[21,    11] loss: 0.198
[21,    16] loss: 0.295
[21,    21] loss: 0.015
[21,    26] loss: 0.014
[21,    31] loss: 0.010
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[22,     1] loss: 0.004
[22,     6] loss: 0.011
[22,    11] loss: 0.028
[22,    16] loss: 0.176
[22,    21] loss: 0.002
[22,    26] loss: 0.001
[22,    31] loss: 0.002
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[23,     1] loss: 0.001
[23,     6] loss: 0.181
[23,    11] loss: 0.009
[23,    16] loss: 0.201
[23,    21] loss: 0.002
[23,    26] loss: 0.009
[23,    31] loss: 0.012
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[24,     1] loss: 0.004
[24,     6] loss: 0.005
[24,    11] loss: 0.003
[24,    16] loss: 0.003
[24,    21] loss: 0.001
[24,    26] loss: 0.017
[24,    31] loss: 0.007
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[25,     1] loss: 0.009
[25,     6] loss: 0.006
[25,    11] loss: 0.003
[25,    16] loss: 0.006
[25,    21] loss: 0.005
[25,    26] loss: 0.217
[25,    31] loss: 0.006
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[26,     1] loss: 0.002
[26,     6] loss: 0.002
[26,    11] loss: 0.005
[26,    16] loss: 0.001
[26,    21] loss: 0.061
[26,    26] loss: 0.003
[26,    31] loss: 0.002
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[27,     1] loss: 0.037
[27,     6] loss: 0.013
[27,    11] loss: 0.004
[27,    16] loss: 0.004
[27,    21] loss: 0.010
[27,    26] loss: 0.007
[27,    31] loss: 0.001
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[28,     1] loss: 0.004
[28,     6] loss: 0.008
[28,    11] loss: 0.003
[28,    16] loss: 0.003
[28,    21] loss: 0.002
[28,    26] loss: 0.002
[28,    31] loss: 0.010
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[29,     1] loss: 0.019
[29,     6] loss: 0.008
[29,    11] loss: 0.002
[29,    16] loss: 0.245
[29,    21] loss: 0.102
[29,    26] loss: 0.066
[29,    31] loss: 0.010
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[30,     1] loss: 0.039
[30,     6] loss: 0.015
[30,    11] loss: 0.015
[30,    16] loss: 0.004
[30,    21] loss: 0.003
[30,    26] loss: 0.002
[30,    31] loss: 0.006
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[31,     1] loss: 0.005
[31,     6] loss: 0.007
[31,    11] loss: 0.019
[31,    16] loss: 0.024
[31,    21] loss: 0.002
[31,    26] loss: 0.003
[31,    31] loss: 0.001
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[32,     1] loss: 0.016
[32,     6] loss: 0.007
[32,    11] loss: 0.007
[32,    16] loss: 0.008
[32,    21] loss: 0.003
[32,    26] loss: 0.010
[32,    31] loss: 0.001
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[33,     1] loss: 0.005
[33,     6] loss: 0.006
[33,    11] loss: 0.004
[33,    16] loss: 0.004
[33,    21] loss: 0.005
[33,    26] loss: 0.003
[33,    31] loss: 0.008
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[34,     1] loss: 0.001
[34,     6] loss: 0.001
[34,    11] loss: 0.006
[34,    16] loss: 0.015
[34,    21] loss: 0.002
[34,    26] loss: 0.007
[34,    31] loss: 0.001
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[35,     1] loss: 0.001
[35,     6] loss: 0.001
[35,    11] loss: 0.002
[35,    16] loss: 0.001
[35,    21] loss: 0.003
[35,    26] loss: 0.009
[35,    31] loss: 0.003
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[36,     1] loss: 0.007
[36,     6] loss: 0.168
[36,    11] loss: 0.011
[36,    16] loss: 0.006
[36,    21] loss: 0.003
[36,    26] loss: 0.008
[36,    31] loss: 0.003
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[37,     1] loss: 0.012
[37,     6] loss: 0.003
[37,    11] loss: 0.005
[37,    16] loss: 0.004
[37,    21] loss: 0.011
[37,    26] loss: 0.002
[37,    31] loss: 0.001
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[38,     1] loss: 0.005
[38,     6] loss: 0.211
[38,    11] loss: 0.008
[38,    16] loss: 0.003
[38,    21] loss: 0.006
[38,    26] loss: 0.005
[38,    31] loss: 0.005
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[39,     1] loss: 0.008
[39,     6] loss: 0.001
[39,    11] loss: 0.008
[39,    16] loss: 0.002
[39,    21] loss: 0.001
[39,    26] loss: 0.009
[39,    31] loss: 0.004
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[40,     1] loss: 0.010
[40,     6] loss: 0.180
[40,    11] loss: 0.001
[40,    16] loss: 0.013
[40,    21] loss: 0.012
[40,    26] loss: 0.002
[40,    31] loss: 0.002
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[41,     1] loss: 0.001
[41,     6] loss: 0.004
[41,    11] loss: 0.009
[41,    16] loss: 0.001
[41,    21] loss: 0.001
[41,    26] loss: 0.004
[41,    31] loss: 0.012
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[42,     1] loss: 0.001
[42,     6] loss: 0.011
[42,    11] loss: 0.005
[42,    16] loss: 0.004
[42,    21] loss: 0.001
[42,    26] loss: 0.221
[42,    31] loss: 0.003
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[43,     1] loss: 0.010
[43,     6] loss: 0.196
[43,    11] loss: 0.007
[43,    16] loss: 0.009
[43,    21] loss: 0.008
[43,    26] loss: 0.001
[43,    31] loss: 0.002
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[44,     1] loss: 0.007
[44,     6] loss: 0.001
[44,    11] loss: 0.010
[44,    16] loss: 0.001
[44,    21] loss: 0.010
[44,    26] loss: 0.013
[44,    31] loss: 0.009
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[45,     1] loss: 0.004
[45,     6] loss: 0.001
[45,    11] loss: 0.006
[45,    16] loss: 0.002
[45,    21] loss: 0.001
[45,    26] loss: 0.003
[45,    31] loss: 0.207
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[46,     1] loss: 0.014
[46,     6] loss: 0.002
[46,    11] loss: 0.008
[46,    16] loss: 0.003
[46,    21] loss: 0.003
[46,    26] loss: 0.220
[46,    31] loss: 0.009
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[47,     1] loss: 0.014
[47,     6] loss: 0.001
[47,    11] loss: 0.027
[47,    16] loss: 0.015
[47,    21] loss: 0.009
[47,    26] loss: 0.001
[47,    31] loss: 0.002
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[48,     1] loss: 0.004
[48,     6] loss: 0.012
[48,    11] loss: 0.006
[48,    16] loss: 0.001
[48,    21] loss: 0.007
[48,    26] loss: 0.001
[48,    31] loss: 0.001
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[49,     1] loss: 0.004
[49,     6] loss: 0.005
[49,    11] loss: 0.003
[49,    16] loss: 0.002
[49,    21] loss: 0.005
[49,    26] loss: 0.005
[49,    31] loss: 0.011
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[50,     1] loss: 0.006
[50,     6] loss: 0.005
[50,    11] loss: 0.000
[50,    16] loss: 0.022
[50,    21] loss: 0.016
[50,    26] loss: 0.008
[50,    31] loss: 0.008
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[51,     1] loss: 0.007
[51,     6] loss: 0.005
[51,    11] loss: 0.002
[51,    16] loss: 0.001
[51,    21] loss: 0.180
[51,    26] loss: 0.001
[51,    31] loss: 0.006
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[52,     1] loss: 0.008
[52,     6] loss: 0.004
[52,    11] loss: 0.003
[52,    16] loss: 0.216
[52,    21] loss: 0.003
[52,    26] loss: 0.001
[52,    31] loss: 0.004
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[53,     1] loss: 0.002
[53,     6] loss: 0.177
[53,    11] loss: 0.005
[53,    16] loss: 0.003
[53,    21] loss: 0.004
[53,    26] loss: 0.013
[53,    31] loss: 0.001
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[54,     1] loss: 0.007
[54,     6] loss: 0.001
[54,    11] loss: 0.002
[54,    16] loss: 0.011
[54,    21] loss: 0.012
[54,    26] loss: 0.005
[54,    31] loss: 0.001
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[55,     1] loss: 0.001
[55,     6] loss: 0.004
[55,    11] loss: 0.002
[55,    16] loss: 0.128
[55,    21] loss: 0.001
[55,    26] loss: 0.001
[55,    31] loss: 0.005
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[56,     1] loss: 0.002
[56,     6] loss: 0.006
[56,    11] loss: 0.007
[56,    16] loss: 0.009
[56,    21] loss: 0.003
[56,    26] loss: 0.013
[56,    31] loss: 0.006
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[57,     1] loss: 0.178
[57,     6] loss: 0.001
[57,    11] loss: 0.128
[57,    16] loss: 0.009
[57,    21] loss: 0.004
[57,    26] loss: 0.001
[57,    31] loss: 0.003
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[58,     1] loss: 0.003
[58,     6] loss: 0.005
[58,    11] loss: 0.003
[58,    16] loss: 0.006
[58,    21] loss: 0.003
[58,    26] loss: 0.001
[58,    31] loss: 0.211
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[59,     1] loss: 0.004
[59,     6] loss: 0.004
[59,    11] loss: 0.002
[59,    16] loss: 0.004
[59,    21] loss: 0.008
[59,    26] loss: 0.009
[59,    31] loss: 0.008
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[60,     1] loss: 0.003
[60,     6] loss: 0.002
[60,    11] loss: 0.001
[60,    16] loss: 0.001
[60,    21] loss: 0.003
[60,    26] loss: 0.002
[60,    31] loss: 0.181
[[204   1]
 [  0  22]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_target_on_right
731
23
CONCEPT SAMPLE COUNT concept_target_on_right 23 731
527 227
[1,     1] loss: 0.550
[1,     6] loss: 1.158
[1,    11] loss: 0.100
[1,    16] loss: 0.329
[1,    21] loss: 0.229
[1,    26] loss: 0.003
[1,    31] loss: 0.064
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[2,     1] loss: 0.006
[2,     6] loss: 0.573
[2,    11] loss: 0.021
[2,    16] loss: 0.277
[2,    21] loss: 0.006
[2,    26] loss: 0.047
[2,    31] loss: 0.228
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[3,     1] loss: 0.235
[3,     6] loss: 0.013
[3,    11] loss: 0.127
[3,    16] loss: 0.285
[3,    21] loss: 0.021
[3,    26] loss: 0.025
[3,    31] loss: 0.080
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[4,     1] loss: 0.049
[4,     6] loss: 0.115
[4,    11] loss: 0.508
[4,    16] loss: 0.012
[4,    21] loss: 0.228
[4,    26] loss: 0.011
[4,    31] loss: 0.219
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[5,     1] loss: 0.099
[5,     6] loss: 0.272
[5,    11] loss: 0.725
[5,    16] loss: 0.048
[5,    21] loss: 0.022
[5,    26] loss: 1.436
[5,    31] loss: 0.041
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[6,     1] loss: 0.054
[6,     6] loss: 0.052
[6,    11] loss: 0.070
[6,    16] loss: 0.204
[6,    21] loss: 0.398
[6,    26] loss: 0.022
[6,    31] loss: 0.008
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[7,     1] loss: 0.197
[7,     6] loss: 0.203
[7,    11] loss: 0.017
[7,    16] loss: 0.419
[7,    21] loss: 0.359
[7,    26] loss: 0.057
[7,    31] loss: 0.030
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[8,     1] loss: 0.019
[8,     6] loss: 0.012
[8,    11] loss: 0.027
[8,    16] loss: 0.026
[8,    21] loss: 0.033
[8,    26] loss: 0.015
[8,    31] loss: 0.104
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[9,     1] loss: 0.006
[9,     6] loss: 0.019
[9,    11] loss: 0.067
[9,    16] loss: 0.024
[9,    21] loss: 0.135
[9,    26] loss: 0.005
[9,    31] loss: 0.049
[[220   0]
 [  1   6]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[10,     1] loss: 0.002
[10,     6] loss: 0.003
[10,    11] loss: 0.004
[10,    16] loss: 0.002
[10,    21] loss: 0.026
[10,    26] loss: 0.001
[10,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.003
[11,     6] loss: 0.002
[11,    11] loss: 0.017
[11,    16] loss: 0.002
[11,    21] loss: 0.000
[11,    26] loss: 0.004
[11,    31] loss: 0.127
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[12,     1] loss: 0.006
[12,     6] loss: 0.033
[12,    11] loss: 0.002
[12,    16] loss: 0.032
[12,    21] loss: 0.022
[12,    26] loss: 0.010
[12,    31] loss: 0.021
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.022
[13,     6] loss: 0.017
[13,    11] loss: 0.002
[13,    16] loss: 0.003
[13,    21] loss: 0.001
[13,    26] loss: 0.004
[13,    31] loss: 0.010
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.001
[14,     6] loss: 0.013
[14,    11] loss: 0.005
[14,    16] loss: 0.006
[14,    21] loss: 0.008
[14,    26] loss: 0.011
[14,    31] loss: 0.003
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.002
[15,     6] loss: 0.005
[15,    11] loss: 0.000
[15,    16] loss: 0.003
[15,    21] loss: 0.000
[15,    26] loss: 0.007
[15,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.003
[16,     6] loss: 0.004
[16,    11] loss: 0.001
[16,    16] loss: 0.000
[16,    21] loss: 0.005
[16,    26] loss: 0.002
[16,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.006
[17,     6] loss: 0.002
[17,    11] loss: 0.006
[17,    16] loss: 0.001
[17,    21] loss: 0.005
[17,    26] loss: 0.004
[17,    31] loss: 0.003
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.004
[18,     6] loss: 0.004
[18,    11] loss: 0.006
[18,    16] loss: 0.001
[18,    21] loss: 0.001
[18,    26] loss: 0.001
[18,    31] loss: 0.009
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.001
[19,     6] loss: 0.000
[19,    11] loss: 0.002
[19,    16] loss: 0.000
[19,    21] loss: 0.005
[19,    26] loss: 0.000
[19,    31] loss: 0.008
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.003
[20,     6] loss: 0.000
[20,    11] loss: 0.001
[20,    16] loss: 0.002
[20,    21] loss: 0.004
[20,    26] loss: 0.006
[20,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.001
[21,     6] loss: 0.004
[21,    11] loss: 0.001
[21,    16] loss: 0.007
[21,    21] loss: 0.002
[21,    26] loss: 0.000
[21,    31] loss: 0.008
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.002
[22,     6] loss: 0.004
[22,    11] loss: 0.003
[22,    16] loss: 0.002
[22,    21] loss: 0.004
[22,    26] loss: 0.004
[22,    31] loss: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.003
[23,     6] loss: 0.000
[23,    11] loss: 0.003
[23,    16] loss: 0.001
[23,    21] loss: 0.002
[23,    26] loss: 0.003
[23,    31] loss: 0.005
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.001
[24,     6] loss: 0.001
[24,    11] loss: 0.003
[24,    16] loss: 0.002
[24,    21] loss: 0.001
[24,    26] loss: 0.001
[24,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.000
[25,     6] loss: 0.083
[25,    11] loss: 0.021
[25,    16] loss: 0.002
[25,    21] loss: 0.001
[25,    26] loss: 0.001
[25,    31] loss: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.001
[26,     6] loss: 0.000
[26,    11] loss: 0.010
[26,    16] loss: 0.001
[26,    21] loss: 0.000
[26,    26] loss: 0.007
[26,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.000
[27,     6] loss: 0.003
[27,    11] loss: 0.000
[27,    16] loss: 0.001
[27,    21] loss: 0.001
[27,    26] loss: 0.004
[27,    31] loss: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.003
[28,     6] loss: 0.000
[28,    11] loss: 0.000
[28,    16] loss: 0.004
[28,    21] loss: 0.001
[28,    26] loss: 0.000
[28,    31] loss: 0.005
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.000
[29,     6] loss: 0.000
[29,    11] loss: 0.008
[29,    16] loss: 0.001
[29,    21] loss: 0.005
[29,    26] loss: 0.002
[29,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.001
[30,     6] loss: 0.000
[30,    11] loss: 0.003
[30,    16] loss: 0.001
[30,    21] loss: 0.004
[30,    26] loss: 0.000
[30,    31] loss: 0.006
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.001
[31,     6] loss: 0.003
[31,    11] loss: 0.004
[31,    16] loss: 0.005
[31,    21] loss: 0.006
[31,    26] loss: 0.001
[31,    31] loss: 0.005
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.001
[32,     6] loss: 0.003
[32,    11] loss: 0.003
[32,    16] loss: 0.002
[32,    21] loss: 0.001
[32,    26] loss: 0.004
[32,    31] loss: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.000
[33,     6] loss: 0.003
[33,    11] loss: 0.000
[33,    16] loss: 0.002
[33,    21] loss: 0.001
[33,    26] loss: 0.001
[33,    31] loss: 0.004
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.002
[34,     6] loss: 0.003
[34,    11] loss: 0.001
[34,    16] loss: 0.003
[34,    21] loss: 0.000
[34,    26] loss: 0.003
[34,    31] loss: 0.003
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.005
[35,    31] loss: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.000
[36,    21] loss: 0.004
[36,    26] loss: 0.002
[36,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.000
[37,     6] loss: 0.000
[37,    11] loss: 0.004
[37,    16] loss: 0.000
[37,    21] loss: 0.001
[37,    26] loss: 0.005
[37,    31] loss: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.006
[38,    21] loss: 0.003
[38,    26] loss: 0.000
[38,    31] loss: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.003
[39,     6] loss: 0.004
[39,    11] loss: 0.005
[39,    16] loss: 0.001
[39,    21] loss: 0.002
[39,    26] loss: 0.007
[39,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.002
[40,     6] loss: 0.004
[40,    11] loss: 0.001
[40,    16] loss: 0.003
[40,    21] loss: 0.001
[40,    26] loss: 0.000
[40,    31] loss: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.004
[41,     6] loss: 0.000
[41,    11] loss: 0.000
[41,    16] loss: 0.003
[41,    21] loss: 0.003
[41,    26] loss: 0.002
[41,    31] loss: 0.004
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.006
[42,     6] loss: 0.000
[42,    11] loss: 0.009
[42,    16] loss: 0.000
[42,    21] loss: 0.007
[42,    26] loss: 0.002
[42,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.000
[43,     6] loss: 0.001
[43,    11] loss: 0.003
[43,    16] loss: 0.000
[43,    21] loss: 0.003
[43,    26] loss: 0.002
[43,    31] loss: 0.003
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.001
[44,     6] loss: 0.003
[44,    11] loss: 0.002
[44,    16] loss: 0.001
[44,    21] loss: 0.001
[44,    26] loss: 0.000
[44,    31] loss: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.004
[45,    26] loss: 0.000
[45,    31] loss: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.003
[46,     6] loss: 0.009
[46,    11] loss: 0.000
[46,    16] loss: 0.001
[46,    21] loss: 0.002
[46,    26] loss: 0.001
[46,    31] loss: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.001
[47,    21] loss: 0.003
[47,    26] loss: 0.007
[47,    31] loss: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.000
[48,     6] loss: 0.002
[48,    11] loss: 0.001
[48,    16] loss: 0.011
[48,    21] loss: 0.005
[48,    26] loss: 0.004
[48,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.002
[49,     6] loss: 0.003
[49,    11] loss: 0.002
[49,    16] loss: 0.000
[49,    21] loss: 0.003
[49,    26] loss: 0.002
[49,    31] loss: 0.003
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.002
[50,    21] loss: 0.001
[50,    26] loss: 0.001
[50,    31] loss: 0.712
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[51,     1] loss: 0.334
[51,     6] loss: 0.014
[51,    11] loss: 0.023
[51,    16] loss: 0.001
[51,    21] loss: 0.106
[51,    26] loss: 0.010
[51,    31] loss: 0.035
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.001
[52,     6] loss: 0.019
[52,    11] loss: 0.008
[52,    16] loss: 0.000
[52,    21] loss: 0.001
[52,    26] loss: 0.011
[52,    31] loss: 0.005
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.007
[53,     6] loss: 0.010
[53,    11] loss: 0.001
[53,    16] loss: 0.008
[53,    21] loss: 0.000
[53,    26] loss: 0.000
[53,    31] loss: 0.006
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.002
[54,     6] loss: 0.002
[54,    11] loss: 0.010
[54,    16] loss: 0.000
[54,    21] loss: 0.003
[54,    26] loss: 0.002
[54,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.000
[55,     6] loss: 0.001
[55,    11] loss: 0.004
[55,    16] loss: 0.010
[55,    21] loss: 0.000
[55,    26] loss: 0.003
[55,    31] loss: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.008
[56,     6] loss: 0.005
[56,    11] loss: 0.002
[56,    16] loss: 0.004
[56,    21] loss: 0.000
[56,    26] loss: 0.001
[56,    31] loss: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.004
[57,     6] loss: 0.006
[57,    11] loss: 0.002
[57,    16] loss: 0.005
[57,    21] loss: 0.001
[57,    26] loss: 0.003
[57,    31] loss: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.000
[58,    21] loss: 0.004
[58,    26] loss: 0.000
[58,    31] loss: 0.005
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.001
[59,     6] loss: 0.000
[59,    11] loss: 0.000
[59,    16] loss: 0.001
[59,    21] loss: 0.000
[59,    26] loss: 0.001
[59,    31] loss: 0.004
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.004
[60,     6] loss: 0.001
[60,    11] loss: 0.003
[60,    16] loss: 0.001
[60,    21] loss: 0.000
[60,    26] loss: 0.001
[60,    31] loss: 0.003
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_target_on_top
730
24
CONCEPT SAMPLE COUNT concept_target_on_top 24 730
527 227
[1,     1] loss: 1.359
[1,     6] loss: 0.459
[1,    11] loss: 0.015
[1,    16] loss: 0.417
[1,    21] loss: 0.068
[1,    26] loss: 0.059
[1,    31] loss: 0.021
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[2,     1] loss: 0.043
[2,     6] loss: 0.005
[2,    11] loss: 0.023
[2,    16] loss: 0.196
[2,    21] loss: 0.259
[2,    26] loss: 0.184
[2,    31] loss: 0.194
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[3,     1] loss: 0.037
[3,     6] loss: 0.052
[3,    11] loss: 0.046
[3,    16] loss: 0.004
[3,    21] loss: 0.013
[3,    26] loss: 0.150
[3,    31] loss: 0.019
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[4,     1] loss: 0.083
[4,     6] loss: 0.061
[4,    11] loss: 0.205
[4,    16] loss: 0.012
[4,    21] loss: 0.100
[4,    26] loss: 0.010
[4,    31] loss: 0.003
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[5,     1] loss: 0.055
[5,     6] loss: 0.098
[5,    11] loss: 0.001
[5,    16] loss: 0.096
[5,    21] loss: 0.001
[5,    26] loss: 0.002
[5,    31] loss: 0.001
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[6,     1] loss: 0.004
[6,     6] loss: 0.045
[6,    11] loss: 0.047
[6,    16] loss: 0.049
[6,    21] loss: 0.087
[6,    26] loss: 0.003
[6,    31] loss: 0.009
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.004
[7,     6] loss: 0.002
[7,    11] loss: 0.004
[7,    16] loss: 0.037
[7,    21] loss: 0.030
[7,    26] loss: 0.043
[7,    31] loss: 0.000
[[220   0]
 [  6   1]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[8,     1] loss: 0.053
[8,     6] loss: 0.002
[8,    11] loss: 0.000
[8,    16] loss: 0.021
[8,    21] loss: 0.017
[8,    26] loss: 0.015
[8,    31] loss: 0.001
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[9,     1] loss: 0.029
[9,     6] loss: 0.019
[9,    11] loss: 0.001
[9,    16] loss: 0.006
[9,    21] loss: 0.001
[9,    26] loss: 0.007
[9,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[10,     1] loss: 0.007
[10,     6] loss: 0.000
[10,    11] loss: 0.003
[10,    16] loss: 0.001
[10,    21] loss: 0.022
[10,    26] loss: 0.000
[10,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[11,     1] loss: 0.011
[11,     6] loss: 0.001
[11,    11] loss: 0.000
[11,    16] loss: 0.002
[11,    21] loss: 0.004
[11,    26] loss: 0.000
[11,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[12,     1] loss: 0.002
[12,     6] loss: 0.000
[12,    11] loss: 0.000
[12,    16] loss: 0.001
[12,    21] loss: 0.003
[12,    26] loss: 0.024
[12,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[13,     1] loss: 0.000
[13,     6] loss: 0.008
[13,    11] loss: 0.006
[13,    16] loss: 0.005
[13,    21] loss: 0.000
[13,    26] loss: 0.014
[13,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[14,     1] loss: 0.002
[14,     6] loss: 0.002
[14,    11] loss: 0.000
[14,    16] loss: 0.001
[14,    21] loss: 0.001
[14,    26] loss: 0.000
[14,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[15,     1] loss: 0.000
[15,     6] loss: 0.002
[15,    11] loss: 0.001
[15,    16] loss: 0.000
[15,    21] loss: 0.000
[15,    26] loss: 0.003
[15,    31] loss: 0.001
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[16,     1] loss: 0.000
[16,     6] loss: 0.000
[16,    11] loss: 0.001
[16,    16] loss: 0.000
[16,    21] loss: 0.005
[16,    26] loss: 0.001
[16,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[17,     1] loss: 0.002
[17,     6] loss: 0.000
[17,    11] loss: 0.000
[17,    16] loss: 0.000
[17,    21] loss: 0.001
[17,    26] loss: 0.003
[17,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[18,     1] loss: 0.001
[18,     6] loss: 0.001
[18,    11] loss: 0.000
[18,    16] loss: 0.000
[18,    21] loss: 0.006
[18,    26] loss: 0.002
[18,    31] loss: 0.003
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[19,     1] loss: 0.001
[19,     6] loss: 0.002
[19,    11] loss: 0.000
[19,    16] loss: 0.003
[19,    21] loss: 0.001
[19,    26] loss: 0.001
[19,    31] loss: 0.001
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[20,     1] loss: 0.001
[20,     6] loss: 0.002
[20,    11] loss: 0.028
[20,    16] loss: 0.002
[20,    21] loss: 0.002
[20,    26] loss: 0.002
[20,    31] loss: 0.003
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.002
[21,    21] loss: 0.000
[21,    26] loss: 0.000
[21,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[22,     1] loss: 0.003
[22,     6] loss: 0.001
[22,    11] loss: 0.000
[22,    16] loss: 0.000
[22,    21] loss: 0.001
[22,    26] loss: 0.001
[22,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[23,     1] loss: 0.001
[23,     6] loss: 0.000
[23,    11] loss: 0.000
[23,    16] loss: 0.002
[23,    21] loss: 0.000
[23,    26] loss: 0.000
[23,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[24,     1] loss: 0.001
[24,     6] loss: 0.001
[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
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[25,     1] loss: 0.001
[25,     6] loss: 0.003
[25,    11] loss: 0.001
[25,    16] loss: 0.000
[25,    21] loss: 0.001
[25,    26] loss: 0.000
[25,    31] loss: 0.011
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[26,     1] loss: 0.000
[26,     6] loss: 0.175
[26,    11] loss: 0.002
[26,    16] loss: 0.009
[26,    21] loss: 0.000
[26,    26] loss: 0.001
[26,    31] loss: 0.007
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[27,     1] loss: 0.000
[27,     6] loss: 0.000
[27,    11] loss: 0.000
[27,    16] loss: 0.002
[27,    21] loss: 0.000
[27,    26] loss: 0.003
[27,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[28,     1] loss: 0.000
[28,     6] loss: 0.003
[28,    11] loss: 0.000
[28,    16] loss: 0.001
[28,    21] loss: 0.000
[28,    26] loss: 0.000
[28,    31] loss: 0.003
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[29,     1] loss: 0.001
[29,     6] loss: 0.000
[29,    11] loss: 0.000
[29,    16] loss: 0.002
[29,    21] loss: 0.000
[29,    26] loss: 0.001
[29,    31] loss: 0.003
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[30,     1] loss: 0.001
[30,     6] loss: 0.000
[30,    11] loss: 0.004
[30,    16] loss: 0.000
[30,    21] loss: 0.000
[30,    26] loss: 0.001
[30,    31] loss: 0.001
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[31,     1] loss: 0.000
[31,     6] loss: 0.001
[31,    11] loss: 0.001
[31,    16] loss: 0.000
[31,    21] loss: 0.000
[31,    26] loss: 0.002
[31,    31] loss: 0.001
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[32,     1] loss: 0.001
[32,     6] loss: 0.001
[32,    11] loss: 0.001
[32,    16] loss: 0.000
[32,    21] loss: 0.001
[32,    26] loss: 0.004
[32,    31] loss: 0.001
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[33,     1] loss: 0.001
[33,     6] loss: 0.001
[33,    11] loss: 0.003
[33,    16] loss: 0.000
[33,    21] loss: 0.000
[33,    26] loss: 0.001
[33,    31] loss: 0.003
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[34,     1] loss: 0.002
[34,     6] loss: 0.001
[34,    11] loss: 0.000
[34,    16] loss: 0.001
[34,    21] loss: 0.001
[34,    26] loss: 0.002
[34,    31] loss: 0.003
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[35,     1] loss: 0.000
[35,     6] loss: 0.002
[35,    11] loss: 0.000
[35,    16] loss: 0.002
[35,    21] loss: 0.001
[35,    26] loss: 0.001
[35,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[36,     1] loss: 0.000
[36,     6] loss: 0.000
[36,    11] loss: 0.000
[36,    16] loss: 0.000
[36,    21] loss: 0.002
[36,    26] loss: 0.002
[36,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[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: 0.002
[37,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[38,     1] loss: 0.000
[38,     6] loss: 0.001
[38,    11] loss: 0.476
[38,    16] loss: 0.035
[38,    21] loss: 0.003
[38,    26] loss: 0.001
[38,    31] loss: 0.001
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[39,     1] loss: 0.001
[39,     6] loss: 0.005
[39,    11] loss: 0.003
[39,    16] loss: 0.000
[39,    21] loss: 0.001
[39,    26] loss: 0.000
[39,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[40,     1] loss: 0.000
[40,     6] loss: 0.010
[40,    11] loss: 0.007
[40,    16] loss: 0.000
[40,    21] loss: 0.001
[40,    26] loss: 0.003
[40,    31] loss: 0.002
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[41,     1] loss: 0.002
[41,     6] loss: 0.000
[41,    11] loss: 0.000
[41,    16] loss: 0.000
[41,    21] loss: 0.001
[41,    26] loss: 0.000
[41,    31] loss: 0.001
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[42,     1] loss: 0.000
[42,     6] loss: 0.004
[42,    11] loss: 0.000
[42,    16] loss: 0.003
[42,    21] loss: 0.001
[42,    26] loss: 0.000
[42,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[43,     1] loss: 0.000
[43,     6] loss: 0.000
[43,    11] loss: 0.000
[43,    16] loss: 0.001
[43,    21] loss: 0.001
[43,    26] loss: 0.003
[43,    31] loss: 0.001
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[44,     1] loss: 0.003
[44,     6] loss: 0.001
[44,    11] loss: 0.002
[44,    16] loss: 0.002
[44,    21] loss: 0.001
[44,    26] loss: 0.001
[44,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[45,     1] loss: 0.005
[45,     6] loss: 0.001
[45,    11] loss: 0.002
[45,    16] loss: 0.001
[45,    21] loss: 0.000
[45,    26] loss: 0.002
[45,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[46,     1] loss: 0.001
[46,     6] loss: 0.002
[46,    11] loss: 0.002
[46,    16] loss: 0.000
[46,    21] loss: 0.002
[46,    26] loss: 0.000
[46,    31] loss: 0.001
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[47,     1] loss: 0.003
[47,     6] loss: 0.000
[47,    11] loss: 0.001
[47,    16] loss: 0.001
[47,    21] loss: 0.000
[47,    26] loss: 0.002
[47,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[48,     1] loss: 0.002
[48,     6] loss: 0.003
[48,    11] loss: 0.001
[48,    16] loss: 0.001
[48,    21] loss: 0.001
[48,    26] loss: 0.004
[48,    31] loss: 0.001
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[49,     1] loss: 0.001
[49,     6] loss: 0.001
[49,    11] loss: 0.002
[49,    16] loss: 0.006
[49,    21] loss: 0.000
[49,    26] loss: 0.000
[49,    31] loss: 0.001
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[50,     1] loss: 0.000
[50,     6] loss: 0.004
[50,    11] loss: 0.002
[50,    16] loss: 0.000
[50,    21] loss: 0.000
[50,    26] loss: 0.001
[50,    31] loss: 0.004
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[51,     1] loss: 0.000
[51,     6] loss: 0.000
[51,    11] loss: 0.002
[51,    16] loss: 0.001
[51,    21] loss: 0.001
[51,    26] loss: 0.000
[51,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[52,     1] loss: 0.000
[52,     6] loss: 0.000
[52,    11] loss: 0.000
[52,    16] loss: 0.001
[52,    21] loss: 0.007
[52,    26] loss: 0.001
[52,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[53,     1] loss: 0.001
[53,     6] loss: 0.001
[53,    11] loss: 0.000
[53,    16] loss: 0.000
[53,    21] loss: 0.000
[53,    26] loss: 0.003
[53,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[54,     1] loss: 0.000
[54,     6] loss: 0.000
[54,    11] loss: 0.003
[54,    16] loss: 0.001
[54,    21] loss: 0.001
[54,    26] loss: 0.001
[54,    31] loss: 0.001
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[55,     1] loss: 0.000
[55,     6] loss: 0.003
[55,    11] loss: 0.000
[55,    16] loss: 0.001
[55,    21] loss: 0.001
[55,    26] loss: 0.000
[55,    31] loss: 0.001
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[56,     1] loss: 0.001
[56,     6] loss: 0.000
[56,    11] loss: 0.002
[56,    16] loss: 0.000
[56,    21] loss: 0.002
[56,    26] loss: 0.000
[56,    31] loss: 0.002
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[57,     1] loss: 0.001
[57,     6] loss: 0.014
[57,    11] loss: 0.001
[57,    16] loss: 0.001
[57,    21] loss: 0.000
[57,    26] loss: 0.000
[57,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[58,     1] loss: 0.001
[58,     6] loss: 0.000
[58,    11] loss: 0.000
[58,    16] loss: 0.001
[58,    21] loss: 0.001
[58,    26] loss: 0.000
[58,    31] loss: 0.003
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[59,     1] loss: 0.015
[59,     6] loss: 0.001
[59,    11] loss: 0.001
[59,    16] loss: 0.000
[59,    21] loss: 0.002
[59,    26] loss: 0.001
[59,    31] loss: 0.002
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[60,     1] loss: 0.000
[60,     6] loss: 0.000
[60,    11] loss: 0.002
[60,    16] loss: 0.001
[60,    21] loss: 0.005
[60,    26] loss: 0.001
[60,    31] loss: 0.000
[[219   1]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_above_box
684
70
CONCEPT SAMPLE COUNT concept_wall_above_box 70 684
527 227
[1,     1] loss: 1.033
[1,     6] loss: 0.519
[1,    11] loss: 0.336
[1,    16] loss: 0.284
[1,    21] loss: 0.715
[1,    26] loss: 0.134
[1,    31] loss: 0.038
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[2,     1] loss: 0.707
[2,     6] loss: 0.369
[2,    11] loss: 0.373
[2,    16] loss: 0.227
[2,    21] loss: 0.352
[2,    26] loss: 0.134
[2,    31] loss: 0.057
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[3,     1] loss: 0.292
[3,     6] loss: 0.561
[3,    11] loss: 0.595
[3,    16] loss: 0.333
[3,    21] loss: 0.342
[3,    26] loss: 0.287
[3,    31] loss: 0.099
[[207   0]
 [ 18   2]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 92 %
[4,     1] loss: 0.147
[4,     6] loss: 0.142
[4,    11] loss: 0.189
[4,    16] loss: 0.139
[4,    21] loss: 0.050
[4,    26] loss: 0.010
[4,    31] loss: 0.400
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[5,     1] loss: 0.530
[5,     6] loss: 0.042
[5,    11] loss: 0.234
[5,    16] loss: 0.040
[5,    21] loss: 0.357
[5,    26] loss: 0.128
[5,    31] loss: 0.126
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.060
[6,     6] loss: 0.010
[6,    11] loss: 0.002
[6,    16] loss: 0.014
[6,    21] loss: 0.002
[6,    26] loss: 0.049
[6,    31] loss: 0.019
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.010
[7,     6] loss: 0.009
[7,    11] loss: 0.001
[7,    16] loss: 0.004
[7,    21] loss: 0.003
[7,    26] loss: 0.001
[7,    31] loss: 0.049
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.023
[8,     6] loss: 0.025
[8,    11] loss: 0.003
[8,    16] loss: 0.001
[8,    21] loss: 0.002
[8,    26] loss: 0.002
[8,    31] loss: 0.004
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.001
[9,     6] loss: 0.003
[9,    11] loss: 0.000
[9,    16] loss: 0.003
[9,    21] loss: 0.001
[9,    26] loss: 0.002
[9,    31] loss: 0.002
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.000
[10,     6] loss: 0.003
[10,    11] loss: 0.002
[10,    16] loss: 0.002
[10,    21] loss: 0.002
[10,    26] loss: 0.022
[10,    31] loss: 0.065
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.028
[11,     6] loss: 0.006
[11,    11] loss: 0.004
[11,    16] loss: 0.018
[11,    21] loss: 0.032
[11,    26] loss: 0.005
[11,    31] loss: 0.001
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.002
[12,     6] loss: 0.002
[12,    11] loss: 0.001
[12,    16] loss: 0.002
[12,    21] loss: 0.002
[12,    26] loss: 0.003
[12,    31] loss: 0.005
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.003
[13,     6] loss: 0.000
[13,    11] loss: 0.002
[13,    16] loss: 0.002
[13,    21] loss: 0.001
[13,    26] loss: 0.002
[13,    31] loss: 0.004
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.001
[14,     6] loss: 0.001
[14,    11] loss: 0.002
[14,    16] loss: 0.003
[14,    21] loss: 0.001
[14,    26] loss: 0.001
[14,    31] loss: 0.002
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
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: 0.002
[15,    31] loss: 0.005
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.006
[16,     6] loss: 0.001
[16,    11] loss: 0.001
[16,    16] loss: 0.002
[16,    21] loss: 0.000
[16,    26] loss: 0.001
[16,    31] loss: 0.003
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
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: 0.005
[17,    21] loss: 0.002
[17,    26] loss: 0.002
[17,    31] loss: 0.006
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.001
[18,     6] loss: 0.002
[18,    11] loss: 0.002
[18,    16] loss: 0.001
[18,    21] loss: 0.002
[18,    26] loss: 0.003
[18,    31] loss: 0.001
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.001
[19,     6] loss: 0.006
[19,    11] loss: 0.001
[19,    16] loss: 0.001
[19,    21] loss: 0.001
[19,    26] loss: 0.004
[19,    31] loss: 0.001
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.003
[20,     6] loss: 0.002
[20,    11] loss: 0.001
[20,    16] loss: 0.001
[20,    21] loss: 0.002
[20,    26] loss: 0.001
[20,    31] loss: 0.002
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
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: 0.935
[21,    21] loss: 0.542
[21,    26] loss: 0.515
[21,    31] loss: 0.273
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[22,     1] loss: 0.178
[22,     6] loss: 0.045
[22,    11] loss: 0.042
[22,    16] loss: 0.015
[22,    21] loss: 0.013
[22,    26] loss: 0.013
[22,    31] loss: 0.005
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.001
[23,     6] loss: 0.007
[23,    11] loss: 0.003
[23,    16] loss: 0.005
[23,    21] loss: 0.009
[23,    26] loss: 0.002
[23,    31] loss: 0.004
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.013
[24,     6] loss: 0.001
[24,    11] loss: 0.001
[24,    16] loss: 0.001
[24,    21] loss: 0.002
[24,    26] loss: 0.004
[24,    31] loss: 0.003
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.002
[25,     6] loss: 0.004
[25,    11] loss: 0.006
[25,    16] loss: 0.002
[25,    21] loss: 0.001
[25,    26] loss: 0.001
[25,    31] loss: 0.001
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.005
[26,     6] loss: 0.004
[26,    11] loss: 0.002
[26,    16] loss: 0.002
[26,    21] loss: 0.001
[26,    26] loss: 0.001
[26,    31] loss: 0.002
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.003
[27,     6] loss: 0.002
[27,    11] loss: 0.006
[27,    16] loss: 0.001
[27,    21] loss: 0.001
[27,    26] loss: 0.002
[27,    31] loss: 0.001
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.001
[28,     6] loss: 0.004
[28,    11] loss: 0.001
[28,    16] loss: 0.000
[28,    21] loss: 0.001
[28,    26] loss: 0.001
[28,    31] loss: 0.003
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.001
[29,     6] loss: 0.001
[29,    11] loss: 0.002
[29,    16] loss: 0.002
[29,    21] loss: 0.001
[29,    26] loss: 0.003
[29,    31] loss: 0.006
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.002
[30,     6] loss: 0.000
[30,    11] loss: 0.003
[30,    16] loss: 0.001
[30,    21] loss: 0.002
[30,    26] loss: 0.003
[30,    31] loss: 0.002
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.001
[31,     6] loss: 0.003
[31,    11] loss: 0.000
[31,    16] loss: 0.001
[31,    21] loss: 0.002
[31,    26] loss: 0.002
[31,    31] loss: 0.002
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.001
[32,     6] loss: 0.000
[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
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.001
[33,     6] loss: 0.003
[33,    11] loss: 0.004
[33,    16] loss: 0.001
[33,    21] loss: 0.002
[33,    26] loss: 0.002
[33,    31] loss: 0.001
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.001
[34,     6] loss: 0.003
[34,    11] loss: 0.002
[34,    16] loss: 0.294
[34,    21] loss: 0.630
[34,    26] loss: 0.606
[34,    31] loss: 0.538
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[35,     1] loss: 0.485
[35,     6] loss: 0.394
[35,    11] loss: 0.239
[35,    16] loss: 0.233
[35,    21] loss: 0.372
[35,    26] loss: 0.225
[35,    31] loss: 0.035
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[36,     1] loss: 0.361
[36,     6] loss: 0.314
[36,    11] loss: 0.501
[36,    16] loss: 0.195
[36,    21] loss: 0.247
[36,    26] loss: 0.023
[36,    31] loss: 0.354
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[37,     1] loss: 0.231
[37,     6] loss: 0.383
[37,    11] loss: 0.235
[37,    16] loss: 0.240
[37,    21] loss: 0.042
[37,    26] loss: 0.143
[37,    31] loss: 0.405
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[38,     1] loss: 0.228
[38,     6] loss: 0.250
[38,    11] loss: 0.062
[38,    16] loss: 0.358
[38,    21] loss: 0.216
[38,    26] loss: 0.403
[38,    31] loss: 0.724
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[39,     1] loss: 0.475
[39,     6] loss: 0.339
[39,    11] loss: 0.177
[39,    16] loss: 0.500
[39,    21] loss: 0.202
[39,    26] loss: 0.236
[39,    31] loss: 0.558
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[40,     1] loss: 0.349
[40,     6] loss: 0.376
[40,    11] loss: 0.402
[40,    16] loss: 0.222
[40,    21] loss: 0.080
[40,    26] loss: 0.822
[40,    31] loss: 0.125
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[41,     1] loss: 0.090
[41,     6] loss: 0.811
[41,    11] loss: 0.202
[41,    16] loss: 0.045
[41,    21] loss: 0.449
[41,    26] loss: 0.144
[41,    31] loss: 0.400
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[42,     1] loss: 0.175
[42,     6] loss: 0.131
[42,    11] loss: 0.078
[42,    16] loss: 0.278
[42,    21] loss: 0.145
[42,    26] loss: 0.074
[42,    31] loss: 0.256
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[43,     1] loss: 0.253
[43,     6] loss: 0.159
[43,    11] loss: 0.255
[43,    16] loss: 0.193
[43,    21] loss: 0.102
[43,    26] loss: 0.496
[43,    31] loss: 0.265
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[44,     1] loss: 0.266
[44,     6] loss: 0.072
[44,    11] loss: 0.214
[44,    16] loss: 0.077
[44,    21] loss: 0.118
[44,    26] loss: 0.130
[44,    31] loss: 0.065
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[45,     1] loss: 0.232
[45,     6] loss: 0.261
[45,    11] loss: 0.116
[45,    16] loss: 0.233
[45,    21] loss: 0.252
[45,    26] loss: 0.122
[45,    31] loss: 0.087
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[46,     1] loss: 0.030
[46,     6] loss: 0.059
[46,    11] loss: 0.020
[46,    16] loss: 0.148
[46,    21] loss: 0.205
[46,    26] loss: 0.216
[46,    31] loss: 0.012
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[47,     1] loss: 0.121
[47,     6] loss: 0.008
[47,    11] loss: 0.015
[47,    16] loss: 0.409
[47,    21] loss: 0.061
[47,    26] loss: 0.073
[47,    31] loss: 0.004
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[48,     1] loss: 0.104
[48,     6] loss: 0.026
[48,    11] loss: 0.103
[48,    16] loss: 0.065
[48,    21] loss: 0.070
[48,    26] loss: 0.286
[48,    31] loss: 0.116
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[49,     1] loss: 0.090
[49,     6] loss: 0.134
[49,    11] loss: 0.200
[49,    16] loss: 0.074
[49,    21] loss: 0.149
[49,    26] loss: 0.157
[49,    31] loss: 0.054
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[50,     1] loss: 0.005
[50,     6] loss: 0.115
[50,    11] loss: 0.098
[50,    16] loss: 0.177
[50,    21] loss: 0.176
[50,    26] loss: 0.132
[50,    31] loss: 0.061
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[51,     1] loss: 0.022
[51,     6] loss: 0.018
[51,    11] loss: 0.001
[51,    16] loss: 0.178
[51,    21] loss: 0.157
[51,    26] loss: 0.100
[51,    31] loss: 0.145
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[52,     1] loss: 0.095
[52,     6] loss: 0.105
[52,    11] loss: 0.052
[52,    16] loss: 0.053
[52,    21] loss: 0.164
[52,    26] loss: 0.195
[52,    31] loss: 0.194
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[53,     1] loss: 0.095
[53,     6] loss: 0.093
[53,    11] loss: 0.094
[53,    16] loss: 0.050
[53,    21] loss: 0.143
[53,    26] loss: 0.098
[53,    31] loss: 0.093
[[207   0]
 [ 20   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[54,     1] loss: 0.143
[54,     6] loss: 0.093
[54,    11] loss: 0.050
[54,    16] loss: 0.033
[54,    21] loss: 0.228
[54,    26] loss: 0.008
[54,    31] loss: 0.002
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.010
[55,     6] loss: 0.060
[55,    11] loss: 0.003
[55,    16] loss: 0.004
[55,    21] loss: 0.003
[55,    26] loss: 0.006
[55,    31] loss: 0.011
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.005
[56,     6] loss: 0.025
[56,    11] loss: 0.008
[56,    16] loss: 0.011
[56,    21] loss: 0.002
[56,    26] loss: 0.009
[56,    31] loss: 0.005
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.002
[57,     6] loss: 0.009
[57,    11] loss: 0.001
[57,    16] loss: 0.002
[57,    21] loss: 0.002
[57,    26] loss: 0.002
[57,    31] loss: 0.004
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.000
[58,     6] loss: 0.001
[58,    11] loss: 0.003
[58,    16] loss: 0.048
[58,    21] loss: 0.006
[58,    26] loss: 0.005
[58,    31] loss: 0.003
[[207   0]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.006
[59,     6] loss: 0.000
[59,    11] loss: 0.001
[59,    16] loss: 0.000
[59,    21] loss: 0.006
[59,    26] loss: 0.004
[59,    31] loss: 0.001
[[204   3]
 [  0  20]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[60,     1] loss: 0.022
[60,     6] loss: 0.001
[60,    11] loss: 0.001
[60,    16] loss: 0.000
[60,    21] loss: 0.002
[60,    26] loss: 0.002
[60,    31] loss: 0.001
[[207   0]
 [  2  18]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_below
586
168
CONCEPT SAMPLE COUNT concept_wall_below 168 586
527 227
[1,     1] loss: 0.745
[1,     6] loss: 0.555
[1,    11] loss: 0.429
[1,    16] loss: 0.474
[1,    21] loss: 0.498
[1,    26] loss: 0.553
[1,    31] loss: 0.449
[[174   0]
 [ 53   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 76 %
[2,     1] loss: 0.346
[2,     6] loss: 0.381
[2,    11] loss: 0.511
[2,    16] loss: 0.822
[2,    21] loss: 0.278
[2,    26] loss: 0.167
[2,    31] loss: 0.112
[[174   0]
 [  5  48]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[3,     1] loss: 0.043
[3,     6] loss: 0.053
[3,    11] loss: 0.047
[3,    16] loss: 0.010
[3,    21] loss: 0.007
[3,    26] loss: 0.017
[3,    31] loss: 0.023
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.003
[4,     6] loss: 0.009
[4,    11] loss: 0.005
[4,    16] loss: 0.006
[4,    21] loss: 0.005
[4,    26] loss: 0.007
[4,    31] loss: 0.003
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.001
[5,     6] loss: 0.004
[5,    11] loss: 0.061
[5,    16] loss: 0.005
[5,    21] loss: 0.005
[5,    26] loss: 0.002
[5,    31] loss: 0.006
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.007
[6,     6] loss: 0.001
[6,    11] loss: 0.003
[6,    16] loss: 0.001
[6,    21] loss: 0.002
[6,    26] loss: 0.006
[6,    31] loss: 0.003
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.005
[7,     6] loss: 0.001
[7,    11] loss: 0.056
[7,    16] loss: 0.020
[7,    21] loss: 0.005
[7,    26] loss: 0.006
[7,    31] loss: 0.004
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.003
[8,     6] loss: 0.003
[8,    11] loss: 0.002
[8,    16] loss: 0.004
[8,    21] loss: 0.006
[8,    26] loss: 0.004
[8,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.001
[9,     6] loss: 0.003
[9,    11] loss: 0.002
[9,    16] loss: 0.001
[9,    21] loss: 0.003
[9,    26] loss: 0.002
[9,    31] loss: 0.003
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.006
[10,     6] loss: 0.001
[10,    11] loss: 0.002
[10,    16] loss: 0.008
[10,    21] loss: 0.003
[10,    26] loss: 0.001
[10,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.002
[11,     6] loss: 0.003
[11,    11] loss: 0.001
[11,    16] loss: 0.003
[11,    21] loss: 0.003
[11,    26] loss: 0.002
[11,    31] loss: 0.003
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.006
[12,     6] loss: 0.021
[12,    11] loss: 0.021
[12,    16] loss: 0.009
[12,    21] loss: 0.002
[12,    26] loss: 0.002
[12,    31] loss: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.003
[13,     6] loss: 0.002
[13,    11] loss: 0.001
[13,    16] loss: 0.002
[13,    21] loss: 0.002
[13,    26] loss: 0.002
[13,    31] loss: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.001
[14,     6] loss: 0.001
[14,    11] loss: 0.002
[14,    16] loss: 0.001
[14,    21] loss: 0.002
[14,    26] loss: 0.002
[14,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.001
[15,    21] loss: 0.001
[15,    26] loss: 0.001
[15,    31] loss: 0.005
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.001
[16,     6] loss: 0.001
[16,    11] loss: 0.002
[16,    16] loss: 0.005
[16,    21] loss: 0.002
[16,    26] loss: 0.001
[16,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.000
[17,    21] loss: 0.020
[17,    26] loss: 0.003
[17,    31] loss: 0.026
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.001
[18,    21] loss: 0.001
[18,    26] loss: 0.001
[18,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.002
[19,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.477
[20,    21] loss: 0.008
[20,    26] loss: 0.006
[20,    31] loss: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.004
[21,     6] loss: 0.002
[21,    11] loss: 0.003
[21,    16] loss: 0.005
[21,    21] loss: 0.003
[21,    26] loss: 0.003
[21,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.002
[22,     6] loss: 0.002
[22,    11] loss: 0.003
[22,    16] loss: 0.002
[22,    21] loss: 0.001
[22,    26] loss: 0.002
[22,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.003
[23,     6] loss: 0.000
[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
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.004
[24,     6] loss: 0.001
[24,    11] loss: 0.002
[24,    16] loss: 0.001
[24,    21] loss: 0.001
[24,    26] loss: 0.001
[24,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.002
[25,     6] loss: 0.001
[25,    11] loss: 0.002
[25,    16] loss: 0.001
[25,    21] loss: 0.001
[25,    26] loss: 0.001
[25,    31] loss: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.001
[26,     6] loss: 0.002
[26,    11] loss: 0.001
[26,    16] loss: 0.001
[26,    21] loss: 0.001
[26,    26] loss: 0.004
[26,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.002
[27,     6] loss: 0.001
[27,    11] loss: 0.001
[27,    16] loss: 0.005
[27,    21] loss: 0.002
[27,    26] loss: 0.001
[27,    31] loss: 0.000
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.005
[29,     6] loss: 0.003
[29,    11] loss: 0.002
[29,    16] loss: 0.002
[29,    21] loss: 0.001
[29,    26] loss: 0.001
[29,    31] loss: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.001
[30,     6] loss: 0.001
[30,    11] loss: 0.002
[30,    16] loss: 0.001
[30,    21] loss: 0.001
[30,    26] loss: 0.001
[30,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.001
[31,    31] loss: 0.003
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.001
[32,    26] loss: 0.001
[32,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.001
[33,    21] loss: 0.001
[33,    26] loss: 0.001
[33,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.001
[34,     6] loss: 0.002
[34,    11] loss: 0.001
[34,    16] loss: 0.001
[34,    21] loss: 0.001
[34,    26] loss: 0.001
[34,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.005
[35,    21] loss: 0.001
[35,    26] loss: 0.001
[35,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.001
[36,    26] loss: 0.002
[36,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.001
[37,     6] loss: 0.006
[37,    11] loss: 0.048
[37,    16] loss: 0.016
[37,    21] loss: 0.004
[37,    26] loss: 0.004
[37,    31] loss: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.002
[38,     6] loss: 0.002
[38,    11] loss: 0.001
[38,    16] loss: 0.001
[38,    21] loss: 0.002
[38,    26] loss: 0.002
[38,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.002
[39,     6] loss: 0.002
[39,    11] loss: 0.002
[39,    16] loss: 0.003
[39,    21] loss: 0.001
[39,    26] loss: 0.001
[39,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.002
[40,    21] loss: 0.001
[40,    26] loss: 0.001
[40,    31] loss: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.001
[41,     6] loss: 0.002
[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
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.001
[42,    21] loss: 0.002
[42,    26] loss: 0.001
[42,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.000
[46,    31] loss: 0.000
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.002
[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
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.001
[48,     6] loss: 0.001
[48,    11] loss: 0.000
[48,    16] loss: 0.000
[48,    21] loss: 0.001
[48,    26] loss: 0.001
[48,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.001
[49,     6] loss: 0.002
[49,    11] loss: 0.001
[49,    16] loss: 0.001
[49,    21] loss: 0.002
[49,    26] loss: 0.002
[49,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.000
[50,     6] loss: 0.002
[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
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.001
[51,     6] loss: 0.000
[51,    11] loss: 0.002
[51,    16] loss: 0.001
[51,    21] loss: 0.001
[51,    26] loss: 0.001
[51,    31] loss: 0.000
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.001
[53,     6] loss: 0.009
[53,    11] loss: 0.003
[53,    16] loss: 0.002
[53,    21] loss: 0.000
[53,    26] loss: 0.002
[53,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.002
[54,     6] loss: 0.000
[54,    11] loss: 0.001
[54,    16] loss: 0.001
[54,    21] loss: 0.001
[54,    26] loss: 0.001
[54,    31] loss: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.001
[56,     6] loss: 0.002
[56,    11] loss: 0.002
[56,    16] loss: 0.001
[56,    21] loss: 0.002
[56,    26] loss: 0.001
[56,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.001
[57,     6] loss: 0.001
[57,    11] loss: 0.000
[57,    16] loss: 0.001
[57,    21] loss: 0.001
[57,    26] loss: 0.001
[57,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.001
[58,    21] loss: 0.001
[58,    26] loss: 0.001
[58,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.000
[60,     6] loss: 0.001
[60,    11] loss: 0.001
[60,    16] loss: 0.001
[60,    21] loss: 0.001
[60,    26] loss: 0.001
[60,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_below_box
601
153
CONCEPT SAMPLE COUNT concept_wall_below_box 153 601
527 227
[1,     1] loss: 0.640
[1,     6] loss: 0.685
[1,    11] loss: 0.581
[1,    16] loss: 0.542
[1,    21] loss: 0.291
[1,    26] loss: 0.499
[1,    31] loss: 0.476
[[185   0]
 [ 42   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 81 %
[2,     1] loss: 0.704
[2,     6] loss: 0.486
[2,    11] loss: 0.481
[2,    16] loss: 0.953
[2,    21] loss: 0.461
[2,    26] loss: 0.665
[2,    31] loss: 0.573
[[185   0]
 [ 42   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 81 %
[3,     1] loss: 0.706
[3,     6] loss: 0.654
[3,    11] loss: 0.883
[3,    16] loss: 0.591
[3,    21] loss: 0.552
[3,    26] loss: 0.469
[3,    31] loss: 0.391
[[185   0]
 [ 42   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 81 %
[4,     1] loss: 0.252
[4,     6] loss: 0.386
[4,    11] loss: 0.539
[4,    16] loss: 0.498
[4,    21] loss: 0.778
[4,    26] loss: 0.289
[4,    31] loss: 0.428
[[185   0]
 [ 12  30]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 94 %
[5,     1] loss: 0.127
[5,     6] loss: 0.434
[5,    11] loss: 0.025
[5,    16] loss: 0.012
[5,    21] loss: 0.035
[5,    26] loss: 0.003
[5,    31] loss: 0.003
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.006
[6,     6] loss: 0.001
[6,    11] loss: 0.001
[6,    16] loss: 0.002
[6,    21] loss: 0.002
[6,    26] loss: 0.003
[6,    31] loss: 0.003
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.002
[7,     6] loss: 0.001
[7,    11] loss: 0.002
[7,    16] loss: 0.001
[7,    21] loss: 0.004
[7,    26] loss: 0.001
[7,    31] loss: 0.002
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.001
[8,     6] loss: 0.002
[8,    11] loss: 0.001
[8,    16] loss: 0.002
[8,    21] loss: 0.004
[8,    26] loss: 0.002
[8,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.001
[9,    21] loss: 0.668
[9,    26] loss: 0.249
[9,    31] loss: 0.026
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.005
[10,     6] loss: 0.006
[10,    11] loss: 0.002
[10,    16] loss: 0.001
[10,    21] loss: 0.003
[10,    26] loss: 0.003
[10,    31] loss: 0.004
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.001
[11,     6] loss: 0.002
[11,    11] loss: 0.003
[11,    16] loss: 0.003
[11,    21] loss: 0.002
[11,    26] loss: 0.003
[11,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.001
[12,     6] loss: 0.002
[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
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.001
[13,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.003
[14,     6] loss: 0.001
[14,    11] loss: 0.002
[14,    16] loss: 0.000
[14,    21] loss: 0.001
[14,    26] loss: 0.002
[14,    31] loss: 0.003
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.001
[15,     6] loss: 0.003
[15,    11] loss: 0.001
[15,    16] loss: 0.002
[15,    21] loss: 0.003
[15,    26] loss: 0.002
[15,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.002
[16,     6] loss: 0.001
[16,    11] loss: 0.001
[16,    16] loss: 0.002
[16,    21] loss: 0.001
[16,    26] loss: 0.031
[16,    31] loss: 0.004
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.003
[17,     6] loss: 0.001
[17,    11] loss: 0.001
[17,    16] loss: 0.002
[17,    21] loss: 0.001
[17,    26] loss: 0.001
[17,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.002
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.002
[19,     6] loss: 0.001
[19,    11] loss: 0.001
[19,    16] loss: 0.001
[19,    21] loss: 0.002
[19,    26] loss: 0.001
[19,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.002
[20,    21] loss: 0.001
[20,    26] loss: 0.001
[20,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.004
[21,    21] loss: 0.003
[21,    26] loss: 0.002
[21,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.002
[22,    21] loss: 0.001
[22,    26] loss: 0.001
[22,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.001
[23,     6] loss: 0.452
[23,    11] loss: 0.131
[23,    16] loss: 0.015
[23,    21] loss: 0.007
[23,    26] loss: 0.004
[23,    31] loss: 0.004
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.007
[24,     6] loss: 0.001
[24,    11] loss: 0.002
[24,    16] loss: 0.006
[24,    21] loss: 0.002
[24,    26] loss: 0.004
[24,    31] loss: 0.002
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.001
[25,     6] loss: 0.003
[25,    11] loss: 0.003
[25,    16] loss: 0.003
[25,    21] loss: 0.003
[25,    26] loss: 0.001
[25,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.003
[26,     6] loss: 0.001
[26,    11] loss: 0.003
[26,    16] loss: 0.004
[26,    21] loss: 0.002
[26,    26] loss: 0.002
[26,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.001
[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: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.001
[28,     6] loss: 0.003
[28,    11] loss: 0.004
[28,    16] loss: 0.001
[28,    21] loss: 0.001
[28,    26] loss: 0.001
[28,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.001
[29,    31] loss: 0.003
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.001
[30,     6] loss: 0.001
[30,    11] loss: 0.002
[30,    16] loss: 0.001
[30,    21] loss: 0.002
[30,    26] loss: 0.001
[30,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.001
[31,     6] loss: 0.001
[31,    11] loss: 0.002
[31,    16] loss: 0.000
[31,    21] loss: 0.002
[31,    26] loss: 0.002
[31,    31] loss: 0.003
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.001
[32,     6] loss: 0.000
[32,    11] loss: 0.002
[32,    16] loss: 0.001
[32,    21] loss: 0.002
[32,    26] loss: 0.002
[32,    31] loss: 0.002
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.003
[33,    21] loss: 0.001
[33,    26] loss: 0.001
[33,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.001
[34,     6] loss: 0.002
[34,    11] loss: 0.002
[34,    16] loss: 0.001
[34,    21] loss: 0.001
[34,    26] loss: 0.001
[34,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.000
[35,     6] loss: 0.001
[35,    11] loss: 0.000
[35,    16] loss: 0.002
[35,    21] loss: 0.002
[35,    26] loss: 0.001
[35,    31] loss: 0.002
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.002
[36,     6] loss: 0.000
[36,    11] loss: 0.001
[36,    16] loss: 0.001
[36,    21] loss: 0.001
[36,    26] loss: 0.002
[36,    31] loss: 0.004
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.001
[37,     6] loss: 0.001
[37,    11] loss: 0.002
[37,    16] loss: 0.001
[37,    21] loss: 0.001
[37,    26] loss: 0.001
[37,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.001
[38,    21] loss: 0.001
[38,    26] loss: 0.001
[38,    31] loss: 0.002
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.002
[39,     6] loss: 0.003
[39,    11] loss: 0.002
[39,    16] loss: 0.000
[39,    21] loss: 0.001
[39,    26] loss: 0.002
[39,    31] loss: 0.000
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.094
[40,    21] loss: 0.168
[40,    26] loss: 0.098
[40,    31] loss: 0.011
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.011
[41,     6] loss: 0.010
[41,    11] loss: 0.003
[41,    16] loss: 0.005
[41,    21] loss: 0.004
[41,    26] loss: 0.002
[41,    31] loss: 0.002
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.003
[42,     6] loss: 0.002
[42,    11] loss: 0.004
[42,    16] loss: 0.001
[42,    21] loss: 0.003
[42,    26] loss: 0.002
[42,    31] loss: 0.003
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.004
[43,     6] loss: 0.001
[43,    11] loss: 0.001
[43,    16] loss: 0.001
[43,    21] loss: 0.003
[43,    26] loss: 0.001
[43,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.002
[44,    21] loss: 0.002
[44,    26] loss: 0.001
[44,    31] loss: 0.002
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.002
[45,     6] loss: 0.001
[45,    11] loss: 0.003
[45,    16] loss: 0.001
[45,    21] loss: 0.001
[45,    26] loss: 0.002
[45,    31] loss: 0.002
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.003
[46,    26] loss: 0.001
[46,    31] loss: 0.000
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.001
[47,     6] loss: 0.001
[47,    11] loss: 0.002
[47,    16] loss: 0.001
[47,    21] loss: 0.002
[47,    26] loss: 0.003
[47,    31] loss: 0.002
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.002
[48,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.001
[49,     6] loss: 0.002
[49,    11] loss: 0.001
[49,    16] loss: 0.001
[49,    21] loss: 0.002
[49,    26] loss: 0.002
[49,    31] loss: 0.002
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.002
[50,    26] loss: 0.001
[50,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.002
[51,    21] loss: 0.001
[51,    26] loss: 0.002
[51,    31] loss: 0.000
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.001
[52,     6] loss: 0.001
[52,    11] loss: 0.002
[52,    16] loss: 0.001
[52,    21] loss: 0.001
[52,    26] loss: 0.002
[52,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.002
[54,    26] loss: 0.001
[54,    31] loss: 0.003
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.000
[55,    26] loss: 0.001
[55,    31] loss: 0.001
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.001
[56,     6] loss: 0.001
[56,    11] loss: 0.004
[56,    16] loss: 0.450
[56,    21] loss: 0.129
[56,    26] loss: 0.034
[56,    31] loss: 0.018
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.003
[57,     6] loss: 0.003
[57,    11] loss: 0.005
[57,    16] loss: 0.004
[57,    21] loss: 0.002
[57,    26] loss: 0.005
[57,    31] loss: 0.004
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.003
[58,     6] loss: 0.002
[58,    11] loss: 0.002
[58,    16] loss: 0.002
[58,    21] loss: 0.003
[58,    26] loss: 0.004
[58,    31] loss: 0.002
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.001
[59,     6] loss: 0.006
[59,    11] loss: 0.002
[59,    16] loss: 0.002
[59,    21] loss: 0.002
[59,    26] loss: 0.001
[59,    31] loss: 0.002
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
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: 0.001
[60,    26] loss: 0.002
[60,    31] loss: 0.002
[[185   0]
 [  0  42]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_down_left
713
41
CONCEPT SAMPLE COUNT concept_wall_down_left 41 713
527 227
[1,     1] loss: 0.358
[1,     6] loss: 0.651
[1,    11] loss: 0.085
[1,    16] loss: 0.234
[1,    21] loss: 0.070
[1,    26] loss: 0.398
[1,    31] loss: 0.457
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[2,     1] loss: 0.038
[2,     6] loss: 0.232
[2,    11] loss: 0.243
[2,    16] loss: 0.394
[2,    21] loss: 0.253
[2,    26] loss: 0.066
[2,    31] loss: 0.254
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[3,     1] loss: 0.724
[3,     6] loss: 0.231
[3,    11] loss: 0.232
[3,    16] loss: 0.233
[3,    21] loss: 0.236
[3,    26] loss: 0.235
[3,    31] loss: 0.414
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[4,     1] loss: 0.058
[4,     6] loss: 0.374
[4,    11] loss: 0.034
[4,    16] loss: 0.558
[4,    21] loss: 0.064
[4,    26] loss: 0.075
[4,    31] loss: 0.234
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[5,     1] loss: 0.233
[5,     6] loss: 0.221
[5,    11] loss: 0.222
[5,    16] loss: 0.228
[5,    21] loss: 0.409
[5,    26] loss: 0.219
[5,    31] loss: 0.249
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[6,     1] loss: 0.217
[6,     6] loss: 0.209
[6,    11] loss: 0.228
[6,    16] loss: 0.021
[6,    21] loss: 0.190
[6,    26] loss: 0.078
[6,    31] loss: 0.170
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[7,     1] loss: 0.265
[7,     6] loss: 0.207
[7,    11] loss: 0.026
[7,    16] loss: 0.048
[7,    21] loss: 0.196
[7,    26] loss: 0.216
[7,    31] loss: 0.103
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[8,     1] loss: 0.089
[8,     6] loss: 0.149
[8,    11] loss: 0.025
[8,    16] loss: 0.079
[8,    21] loss: 0.062
[8,    26] loss: 0.164
[8,    31] loss: 0.016
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[9,     1] loss: 0.082
[9,     6] loss: 0.059
[9,    11] loss: 0.010
[9,    16] loss: 0.080
[9,    21] loss: 0.051
[9,    26] loss: 0.027
[9,    31] loss: 0.092
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[10,     1] loss: 0.002
[10,     6] loss: 0.091
[10,    11] loss: 0.055
[10,    16] loss: 0.001
[10,    21] loss: 0.054
[10,    26] loss: 0.148
[10,    31] loss: 0.004
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[11,     1] loss: 0.001
[11,     6] loss: 0.015
[11,    11] loss: 0.047
[11,    16] loss: 0.006
[11,    21] loss: 0.091
[11,    26] loss: 0.047
[11,    31] loss: 0.090
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[12,     1] loss: 0.001
[12,     6] loss: 0.046
[12,    11] loss: 0.002
[12,    16] loss: 0.133
[12,    21] loss: 0.002
[12,    26] loss: 0.000
[12,    31] loss: 0.003
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[13,     1] loss: 0.000
[13,     6] loss: 0.087
[13,    11] loss: 0.044
[13,    16] loss: 0.087
[13,    21] loss: 0.050
[13,    26] loss: 0.002
[13,    31] loss: 0.001
[[218   0]
 [  8   1]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[14,     1] loss: 0.050
[14,     6] loss: 0.000
[14,    11] loss: 0.088
[14,    16] loss: 0.044
[14,    21] loss: 0.001
[14,    26] loss: 0.047
[14,    31] loss: 0.045
[[218   0]
 [  3   6]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[15,     1] loss: 0.044
[15,     6] loss: 0.171
[15,    11] loss: 0.128
[15,    16] loss: 0.002
[15,    21] loss: 0.003
[15,    26] loss: 0.045
[15,    31] loss: 0.045
[[218   0]
 [  7   2]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[16,     1] loss: 0.043
[16,     6] loss: 0.003
[16,    11] loss: 0.086
[16,    16] loss: 0.044
[16,    21] loss: 0.002
[16,    26] loss: 0.091
[16,    31] loss: 0.044
[[218   0]
 [  1   8]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[17,     1] loss: 0.042
[17,     6] loss: 0.044
[17,    11] loss: 0.083
[17,    16] loss: 0.042
[17,    21] loss: 0.083
[17,    26] loss: 0.043
[17,    31] loss: 0.001
[[218   0]
 [  1   8]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[18,     1] loss: 0.042
[18,     6] loss: 0.003
[18,    11] loss: 0.083
[18,    16] loss: 0.001
[18,    21] loss: 0.041
[18,    26] loss: 0.041
[18,    31] loss: 0.041
[[218   0]
 [  1   8]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[19,     1] loss: 0.041
[19,     6] loss: 0.001
[19,    11] loss: 0.045
[19,    16] loss: 0.043
[19,    21] loss: 0.000
[19,    26] loss: 0.000
[19,    31] loss: 0.082
[[218   0]
 [  1   8]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[20,     1] loss: 0.002
[20,     6] loss: 0.042
[20,    11] loss: 0.081
[20,    16] loss: 0.000
[20,    21] loss: 0.002
[20,    26] loss: 0.001
[20,    31] loss: 0.080
[[218   0]
 [  1   8]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[21,     1] loss: 0.001
[21,     6] loss: 0.087
[21,    11] loss: 0.003
[21,    16] loss: 0.045
[21,    21] loss: 0.001
[21,    26] loss: 0.040
[21,    31] loss: 0.040
[[218   0]
 [  1   8]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[22,     1] loss: 0.040
[22,     6] loss: 0.040
[22,    11] loss: 0.000
[22,    16] loss: 0.043
[22,    21] loss: 0.000
[22,    26] loss: 0.000
[22,    31] loss: 0.040
[[218   0]
 [  1   8]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[23,     1] loss: 0.040
[23,     6] loss: 0.041
[23,    11] loss: 0.040
[23,    16] loss: 0.039
[23,    21] loss: 0.002
[23,    26] loss: 0.002
[23,    31] loss: 0.001
[[218   0]
 [  2   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[24,     1] loss: 0.000
[24,     6] loss: 0.125
[24,    11] loss: 0.001
[24,    16] loss: 0.040
[24,    21] loss: 0.001
[24,    26] loss: 0.078
[24,    31] loss: 0.078
[[218   0]
 [  1   8]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[25,     1] loss: 0.039
[25,     6] loss: 0.039
[25,    11] loss: 0.078
[25,    16] loss: 0.079
[25,    21] loss: 0.000
[25,    26] loss: 0.039
[25,    31] loss: 0.116
[[218   0]
 [  1   8]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[26,     1] loss: 0.000
[26,     6] loss: 0.039
[26,    11] loss: 0.001
[26,    16] loss: 0.077
[26,    21] loss: 0.039
[26,    26] loss: 0.040
[26,    31] loss: 0.001
[[218   0]
 [  1   8]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[27,     1] loss: 0.000
[27,     6] loss: 0.076
[27,    11] loss: 0.076
[27,    16] loss: 0.002
[27,    21] loss: 0.040
[27,    26] loss: 0.119
[27,    31] loss: 0.082
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.039
[28,     6] loss: 0.038
[28,    11] loss: 0.113
[28,    16] loss: 0.043
[28,    21] loss: 0.039
[28,    26] loss: 0.075
[28,    31] loss: 0.091
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.077
[29,     6] loss: 0.038
[29,    11] loss: 0.039
[29,    16] loss: 0.038
[29,    21] loss: 0.001
[29,    26] loss: 0.038
[29,    31] loss: 0.075
[[218   0]
 [  1   8]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[30,     1] loss: 0.038
[30,     6] loss: 0.037
[30,    11] loss: 0.040
[30,    16] loss: 0.074
[30,    21] loss: 0.037
[30,    26] loss: 0.111
[30,    31] loss: 0.001
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.000
[31,     6] loss: 0.037
[31,    11] loss: 0.037
[31,    16] loss: 0.002
[31,    21] loss: 0.001
[31,    26] loss: 0.037
[31,    31] loss: 0.037
[[218   0]
 [  1   8]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[32,     1] loss: 0.037
[32,     6] loss: 0.041
[32,    11] loss: 0.039
[32,    16] loss: 0.037
[32,    21] loss: 0.037
[32,    26] loss: 0.003
[32,    31] loss: 1.874
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[33,     1] loss: 0.006
[33,     6] loss: 0.076
[33,    11] loss: 0.004
[33,    16] loss: 0.068
[33,    21] loss: 0.034
[33,    26] loss: 0.002
[33,    31] loss: 0.061
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.058
[34,     6] loss: 0.057
[34,    11] loss: 0.001
[34,    16] loss: 0.095
[34,    21] loss: 0.025
[34,    26] loss: 0.001
[34,    31] loss: 0.035
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.018
[35,     6] loss: 0.032
[35,    11] loss: 0.001
[35,    16] loss: 0.029
[35,    21] loss: 0.005
[35,    26] loss: 0.011
[35,    31] loss: 0.006
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.001
[36,     6] loss: 0.006
[36,    11] loss: 0.010
[36,    16] loss: 0.001
[36,    21] loss: 0.002
[36,    26] loss: 0.004
[36,    31] loss: 0.001
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.003
[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: 0.002
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
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: 0.003
[38,    21] loss: 0.002
[38,    26] loss: 0.000
[38,    31] loss: 0.000
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.002
[39,     6] loss: 0.001
[39,    11] loss: 0.000
[39,    16] loss: 0.002
[39,    21] loss: 0.001
[39,    26] loss: 0.001
[39,    31] loss: 0.000
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.001
[40,     6] loss: 0.002
[40,    11] loss: 0.001
[40,    16] loss: 0.002
[40,    21] loss: 0.000
[40,    26] loss: 0.000
[40,    31] loss: 0.002
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.001
[41,     6] loss: 0.005
[41,    11] loss: 0.004
[41,    16] loss: 0.002
[41,    21] loss: 0.002
[41,    26] loss: 0.001
[41,    31] loss: 0.001
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.003
[42,     6] loss: 0.001
[42,    11] loss: 0.002
[42,    16] loss: 0.001
[42,    21] loss: 0.001
[42,    26] loss: 0.000
[42,    31] loss: 0.002
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.001
[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: 0.003
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.001
[44,     6] loss: 0.000
[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
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.001
[45,     6] loss: 0.002
[45,    11] loss: 0.001
[45,    16] loss: 0.001
[45,    21] loss: 0.002
[45,    26] loss: 0.000
[45,    31] loss: 0.001
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.002
[46,     6] loss: 0.002
[46,    11] loss: 0.000
[46,    16] loss: 0.002
[46,    21] loss: 0.001
[46,    26] loss: 0.000
[46,    31] loss: 0.002
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
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: 0.001
[47,    31] loss: 0.001
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.001
[48,     6] loss: 0.000
[48,    11] loss: 0.002
[48,    16] loss: 0.002
[48,    21] loss: 0.002
[48,    26] loss: 0.000
[48,    31] loss: 0.004
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.000
[49,     6] loss: 0.001
[49,    11] loss: 0.000
[49,    16] loss: 0.001
[49,    21] loss: 0.000
[49,    26] loss: 0.001
[49,    31] loss: 0.001
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.000
[50,     6] loss: 0.003
[50,    11] loss: 0.000
[50,    16] loss: 0.000
[50,    21] loss: 0.000
[50,    26] loss: 0.001
[50,    31] loss: 0.002
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.002
[51,     6] loss: 0.001
[51,    11] loss: 0.001
[51,    16] loss: 0.003
[51,    21] loss: 0.001
[51,    26] loss: 0.004
[51,    31] loss: 0.001
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.001
[52,     6] loss: 0.001
[52,    11] loss: 0.000
[52,    16] loss: 0.001
[52,    21] loss: 0.002
[52,    26] loss: 0.003
[52,    31] loss: 0.004
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
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: 0.002
[53,    21] loss: 0.001
[53,    26] loss: 0.000
[53,    31] loss: 0.000
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.002
[54,     6] loss: 0.002
[54,    11] loss: 0.002
[54,    16] loss: 0.000
[54,    21] loss: 0.000
[54,    26] loss: 0.002
[54,    31] loss: 0.000
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.001
[55,     6] loss: 0.000
[55,    11] loss: 0.002
[55,    16] loss: 0.001
[55,    21] loss: 0.001
[55,    26] loss: 0.000
[55,    31] loss: 0.002
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.002
[56,     6] loss: 0.003
[56,    11] loss: 0.000
[56,    16] loss: 0.001
[56,    21] loss: 0.001
[56,    26] loss: 0.001
[56,    31] loss: 0.001
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.002
[57,     6] loss: 0.000
[57,    11] loss: 0.002
[57,    16] loss: 0.001
[57,    21] loss: 0.003
[57,    26] loss: 0.002
[57,    31] loss: 0.003
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.001
[58,     6] loss: 0.000
[58,    11] loss: 0.001
[58,    16] loss: 0.003
[58,    21] loss: 0.001
[58,    26] loss: 0.001
[58,    31] loss: 0.002
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
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: 0.000
[59,    21] loss: 0.002
[59,    26] loss: 0.000
[59,    31] loss: 0.001
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
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: 0.000
[60,    21] loss: 0.003
[60,    26] loss: 0.000
[60,    31] loss: 0.001
[[218   0]
 [  0   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_down_right
688
66
CONCEPT SAMPLE COUNT concept_wall_down_right 66 688
527 227
[1,     1] loss: 0.430
[1,     6] loss: 0.649
[1,    11] loss: 0.123
[1,    16] loss: 0.253
[1,    21] loss: 0.232
[1,    26] loss: 0.243
[1,    31] loss: 0.376
[[210   0]
 [ 17   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 92 %
[2,     1] loss: 0.633
[2,     6] loss: 0.232
[2,    11] loss: 0.372
[2,    16] loss: 0.240
[2,    21] loss: 0.377
[2,    26] loss: 0.228
[2,    31] loss: 0.238
[[210   0]
 [ 17   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 92 %
[3,     1] loss: 0.536
[3,     6] loss: 0.058
[3,    11] loss: 0.510
[3,    16] loss: 0.361
[3,    21] loss: 0.231
[3,    26] loss: 0.742
[3,    31] loss: 0.227
[[210   0]
 [ 17   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 92 %
[4,     1] loss: 0.368
[4,     6] loss: 0.654
[4,    11] loss: 0.243
[4,    16] loss: 0.369
[4,    21] loss: 0.254
[4,    26] loss: 0.234
[4,    31] loss: 0.222
[[210   0]
 [ 17   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 92 %
[5,     1] loss: 0.229
[5,     6] loss: 0.046
[5,    11] loss: 0.611
[5,    16] loss: 0.343
[5,    21] loss: 0.348
[5,    26] loss: 0.503
[5,    31] loss: 0.079
[[210   0]
 [ 17   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 92 %
[6,     1] loss: 0.086
[6,     6] loss: 0.351
[6,    11] loss: 0.432
[6,    16] loss: 0.223
[6,    21] loss: 0.318
[6,    26] loss: 0.272
[6,    31] loss: 0.162
[[210   0]
 [ 17   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 92 %
[7,     1] loss: 0.112
[7,     6] loss: 0.011
[7,    11] loss: 0.006
[7,    16] loss: 0.006
[7,    21] loss: 0.025
[7,    26] loss: 0.001
[7,    31] loss: 0.002
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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: 0.002
[8,    21] loss: 0.000
[8,    26] loss: 0.000
[8,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.003
[9,     6] loss: 0.000
[9,    11] loss: 0.003
[9,    16] loss: 0.001
[9,    21] loss: 0.001
[9,    26] loss: 0.000
[9,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.001
[10,     6] loss: 0.000
[10,    11] loss: 0.002
[10,    16] loss: 0.001
[10,    21] loss: 0.000
[10,    26] loss: 0.001
[10,    31] loss: 0.001
[[210   0]
 [ 17   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 92 %
[11,     1] loss: 0.272
[11,     6] loss: 0.072
[11,    11] loss: 0.016
[11,    16] loss: 0.012
[11,    21] loss: 0.007
[11,    26] loss: 0.005
[11,    31] loss: 0.004
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.001
[12,     6] loss: 0.002
[12,    11] loss: 0.003
[12,    16] loss: 0.001
[12,    21] loss: 0.001
[12,    26] loss: 0.001
[12,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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: 0.001
[13,    21] loss: 0.001
[13,    26] loss: 0.001
[13,    31] loss: 0.002
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.000
[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: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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: 0.000
[15,    21] loss: 0.002
[15,    26] loss: 0.000
[15,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.001
[16,     6] loss: 0.002
[16,    11] loss: 0.002
[16,    16] loss: 0.002
[16,    21] loss: 0.000
[16,    26] loss: 0.001
[16,    31] loss: 0.000
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.001
[17,     6] loss: 0.001
[17,    11] loss: 0.002
[17,    16] loss: 0.002
[17,    21] loss: 0.001
[17,    26] loss: 0.000
[17,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.000
[18,     6] loss: 0.002
[18,    11] loss: 0.001
[18,    16] loss: 0.001
[18,    21] loss: 0.000
[18,    26] loss: 0.000
[18,    31] loss: 0.002
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.001
[19,     6] loss: 0.001
[19,    11] loss: 0.003
[19,    16] loss: 0.001
[19,    21] loss: 0.000
[19,    26] loss: 0.001
[19,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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: 0.000
[20,    26] loss: 0.000
[20,    31] loss: 0.003
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.000
[21,     6] loss: 0.001
[21,    11] loss: 0.000
[21,    16] loss: 0.001
[21,    21] loss: 0.000
[21,    26] loss: 0.002
[21,    31] loss: 0.000
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.000
[22,     6] loss: 0.001
[22,    11] loss: 0.001
[22,    16] loss: 0.001
[22,    21] loss: 0.002
[22,    26] loss: 0.001
[22,    31] loss: 0.000
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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: 0.001
[23,    21] loss: 0.001
[23,    26] loss: 0.001
[23,    31] loss: 0.000
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.001
[24,     6] loss: 0.002
[24,    11] loss: 0.000
[24,    16] loss: 0.000
[24,    21] loss: 0.001
[24,    26] loss: 0.001
[24,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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: 0.001
[25,    21] loss: 0.001
[25,    26] loss: 0.001
[25,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.000
[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: 0.000
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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: 0.000
[27,    21] loss: 0.002
[27,    26] loss: 0.001
[27,    31] loss: 0.000
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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: 0.000
[29,    26] loss: 0.002
[29,    31] loss: 0.000
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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: 0.001
[30,    21] loss: 0.001
[30,    26] loss: 0.001
[30,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.002
[31,     6] loss: 0.001
[31,    11] loss: 0.001
[31,    16] loss: 0.001
[31,    21] loss: 0.001
[31,    26] loss: 0.001
[31,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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: 0.000
[32,    21] loss: 0.001
[32,    26] loss: 0.001
[32,    31] loss: 0.002
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.001
[33,     6] loss: 0.001
[33,    11] loss: 0.001
[33,    16] loss: 0.000
[33,    21] loss: 0.001
[33,    26] loss: 0.001
[33,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.001
[34,     6] loss: 0.002
[34,    11] loss: 0.001
[34,    16] loss: 0.001
[34,    21] loss: 0.001
[34,    26] loss: 0.001
[34,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.003
[35,     6] loss: 0.000
[35,    11] loss: 0.001
[35,    16] loss: 0.003
[35,    21] loss: 0.001
[35,    26] loss: 0.001
[35,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.002
[36,     6] loss: 0.000
[36,    11] loss: 0.000
[36,    16] loss: 0.002
[36,    21] loss: 0.001
[36,    26] loss: 0.001
[36,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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: 0.000
[37,    26] loss: 0.001
[37,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.000
[38,     6] loss: 0.001
[38,    11] loss: 0.002
[38,    16] loss: 0.001
[38,    21] loss: 0.002
[38,    26] loss: 0.002
[38,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.000
[39,     6] loss: 0.001
[39,    11] loss: 0.001
[39,    16] loss: 0.001
[39,    21] loss: 0.000
[39,    26] loss: 0.001
[39,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.001
[40,     6] loss: 0.002
[40,    11] loss: 0.003
[40,    16] loss: 0.003
[40,    21] loss: 0.001
[40,    26] loss: 0.001
[40,    31] loss: 0.000
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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: 0.001
[41,    21] loss: 0.001
[41,    26] loss: 0.001
[41,    31] loss: 0.000
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.000
[42,     6] loss: 0.001
[42,    11] loss: 0.001
[42,    16] loss: 0.001
[42,    21] loss: 0.000
[42,    26] loss: 0.002
[42,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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: 0.001
[43,    26] loss: 0.001
[43,    31] loss: 0.002
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.001
[44,     6] loss: 0.002
[44,    11] loss: 0.000
[44,    16] loss: 0.000
[44,    21] loss: 0.000
[44,    26] loss: 0.001
[44,    31] loss: 0.002
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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: 0.002
[45,    21] loss: 0.001
[45,    26] loss: 0.001
[45,    31] loss: 0.004
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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: 0.121
[46,    21] loss: 0.106
[46,    26] loss: 0.006
[46,    31] loss: 0.006
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.008
[47,     6] loss: 0.003
[47,    11] loss: 0.003
[47,    16] loss: 0.001
[47,    21] loss: 0.003
[47,    26] loss: 0.002
[47,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.001
[48,     6] loss: 0.002
[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
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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: 0.003
[49,    21] loss: 0.000
[49,    26] loss: 0.001
[49,    31] loss: 0.000
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.001
[50,     6] loss: 0.000
[50,    11] loss: 0.001
[50,    16] loss: 0.001
[50,    21] loss: 0.001
[50,    26] loss: 0.002
[50,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.002
[51,     6] loss: 0.001
[51,    11] loss: 0.001
[51,    16] loss: 0.000
[51,    21] loss: 0.001
[51,    26] loss: 0.001
[51,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.000
[52,     6] loss: 0.001
[52,    11] loss: 0.001
[52,    16] loss: 0.001
[52,    21] loss: 0.001
[52,    26] loss: 0.000
[52,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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: 0.002
[53,    26] loss: 0.001
[53,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.001
[54,     6] loss: 0.000
[54,    11] loss: 0.002
[54,    16] loss: 0.001
[54,    21] loss: 0.001
[54,    26] loss: 0.001
[54,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.000
[55,     6] loss: 0.001
[55,    11] loss: 0.002
[55,    16] loss: 0.001
[55,    21] loss: 0.000
[55,    26] loss: 0.001
[55,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.002
[56,     6] loss: 0.001
[56,    11] loss: 0.001
[56,    16] loss: 0.001
[56,    21] loss: 0.001
[56,    26] loss: 0.003
[56,    31] loss: 0.000
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.001
[57,     6] loss: 0.002
[57,    11] loss: 0.000
[57,    16] loss: 0.001
[57,    21] loss: 0.002
[57,    26] loss: 0.000
[57,    31] loss: 0.001
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.001
[58,     6] loss: 0.000
[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
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
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
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.001
[60,     6] loss: 0.001
[60,    11] loss: 0.000
[60,    16] loss: 0.001
[60,    21] loss: 0.002
[60,    26] loss: 0.003
[60,    31] loss: 0.002
[[210   0]
 [  0  17]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_on_left
542
212
CONCEPT SAMPLE COUNT concept_wall_on_left 212 542
527 227
[1,     1] loss: 0.720
[1,     6] loss: 4.625
[1,    11] loss: 0.642
[1,    16] loss: 0.593
[1,    21] loss: 0.810
[1,    26] loss: 0.564
[1,    31] loss: 0.566
[[153   0]
 [ 74   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 67 %
[2,     1] loss: 0.591
[2,     6] loss: 0.526
[2,    11] loss: 0.616
[2,    16] loss: 0.695
[2,    21] loss: 0.419
[2,    26] loss: 0.043
[2,    31] loss: 0.060
[[153   0]
 [  6  68]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[3,     1] loss: 0.024
[3,     6] loss: 0.002
[3,    11] loss: 0.002
[3,    16] loss: 0.001
[3,    21] loss: 0.001
[3,    26] loss: 0.000
[3,    31] loss: 0.000
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.004
[4,     6] loss: 0.002
[4,    11] loss: 0.001
[4,    16] loss: 0.001
[4,    21] loss: 0.002
[4,    26] loss: 0.652
[4,    31] loss: 0.046
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.002
[5,     6] loss: 0.003
[5,    11] loss: 0.002
[5,    16] loss: 0.001
[5,    21] loss: 0.001
[5,    26] loss: 0.004
[5,    31] loss: 0.002
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.002
[6,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.001
[7,    21] loss: 0.001
[7,    26] loss: 0.001
[7,    31] loss: 0.002
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.001
[8,     6] loss: 0.001
[8,    11] loss: 0.001
[8,    16] loss: 0.001
[8,    21] loss: 0.002
[8,    26] loss: 0.001
[8,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.000
[9,     6] loss: 0.002
[9,    11] loss: 0.001
[9,    16] loss: 0.001
[9,    21] loss: 0.001
[9,    26] loss: 0.001
[9,    31] loss: 0.002
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.002
[10,     6] loss: 0.001
[10,    11] loss: 0.001
[10,    16] loss: 0.001
[10,    21] loss: 0.001
[10,    26] loss: 0.002
[10,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.002
[11,    21] loss: 0.001
[11,    26] loss: 0.001
[11,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.001
[12,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.001
[13,     6] loss: 0.001
[13,    11] loss: 0.001
[13,    16] loss: 0.002
[13,    21] loss: 0.001
[13,    26] loss: 0.001
[13,    31] loss: 0.002
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.002
[15,    21] loss: 0.001
[15,    26] loss: 0.001
[15,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.001
[16,     6] loss: 0.001
[16,    11] loss: 0.007
[16,    16] loss: 0.029
[16,    21] loss: 0.001
[16,    26] loss: 0.001
[16,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.001
[18,    21] loss: 0.002
[18,    26] loss: 0.001
[18,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.002
[21,    21] loss: 0.002
[21,    26] loss: 0.001
[21,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.000
[22,    26] loss: 0.001
[22,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.000
[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
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.002
[24,     6] loss: 0.001
[24,    11] loss: 0.000
[24,    16] loss: 0.001
[24,    21] loss: 0.001
[24,    26] loss: 0.001
[24,    31] loss: 0.002
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.000
[25,    26] loss: 0.001
[25,    31] loss: 0.002
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.006
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.001
[27,    21] loss: 0.001
[27,    26] loss: 0.000
[27,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.001
[28,     6] loss: 0.000
[28,    11] loss: 0.000
[28,    16] loss: 0.001
[28,    21] loss: 0.001
[28,    26] loss: 0.010
[28,    31] loss: 0.014
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.003
[29,     6] loss: 0.003
[29,    11] loss: 0.003
[29,    16] loss: 0.001
[29,    21] loss: 0.002
[29,    26] loss: 0.001
[29,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.002
[30,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.001
[31,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.001
[32,     6] loss: 0.001
[32,    11] loss: 0.002
[32,    16] loss: 0.002
[32,    21] loss: 0.001
[32,    26] loss: 0.001
[32,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.001
[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: 0.002
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.000
[34,    21] loss: 0.001
[34,    26] loss: 0.001
[34,    31] loss: 0.002
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.001
[36,    26] loss: 0.002
[36,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.002
[37,    21] loss: 0.001
[37,    26] loss: 0.001
[37,    31] loss: 0.002
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.002
[38,    26] loss: 0.001
[38,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.001
[39,     6] loss: 0.001
[39,    11] loss: 0.002
[39,    16] loss: 0.001
[39,    21] loss: 0.000
[39,    26] loss: 0.001
[39,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.001
[41,    26] loss: 0.002
[41,    31] loss: 0.000
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.002
[42,    21] loss: 0.001
[42,    26] loss: 0.001
[42,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.000
[43,     6] loss: 0.001
[43,    11] loss: 0.002
[43,    16] loss: 0.001
[43,    21] loss: 0.001
[43,    26] loss: 0.000
[43,    31] loss: 0.002
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.000
[44,    21] loss: 0.000
[44,    26] loss: 0.001
[44,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.001
[45,    21] loss: 0.001
[45,    26] loss: 0.002
[45,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.001
[46,     6] loss: 0.000
[46,    11] loss: 0.001
[46,    16] loss: 0.001
[46,    21] loss: 0.001
[46,    26] loss: 0.004
[46,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.000
[47,    21] loss: 0.001
[47,    26] loss: 0.001
[47,    31] loss: 0.002
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.002
[48,    26] loss: 0.002
[48,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.004
[49,     6] loss: 0.000
[49,    11] loss: 0.001
[49,    16] loss: 0.001
[49,    21] loss: 0.002
[49,    26] loss: 0.001
[49,    31] loss: 0.002
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.002
[50,     6] loss: 0.000
[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
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.001
[51,    21] loss: 0.003
[51,    26] loss: 0.002
[51,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.002
[52,    21] loss: 0.002
[52,    26] loss: 0.001
[52,    31] loss: 0.000
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.003
[53,     6] loss: 0.001
[53,    11] loss: 0.001
[53,    16] loss: 0.001
[53,    21] loss: 0.001
[53,    26] loss: 0.000
[53,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.001
[54,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.001
[55,     6] loss: 0.000
[55,    11] loss: 0.000
[55,    16] loss: 0.002
[55,    21] loss: 0.001
[55,    26] loss: 0.001
[55,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.003
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.001
[58,    21] loss: 0.003
[58,    26] loss: 0.001
[58,    31] loss: 0.003
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
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: 0.000
[59,    26] loss: 0.000
[59,    31] loss: 0.001
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.001
[60,     6] loss: 0.002
[60,    11] loss: 0.000
[60,    16] loss: 0.001
[60,    21] loss: 0.008
[60,    26] loss: 0.184
[60,    31] loss: 0.055
[[153   0]
 [  0  74]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_on_left_of_box
555
199
CONCEPT SAMPLE COUNT concept_wall_on_left_of_box 199 555
527 227
[1,     1] loss: 0.700
[1,     6] loss: 0.628
[1,    11] loss: 0.632
[1,    16] loss: 0.612
[1,    21] loss: 0.656
[1,    26] loss: 0.535
[1,    31] loss: 0.589
[[166   0]
 [ 61   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 73 %
[2,     1] loss: 0.469
[2,     6] loss: 0.330
[2,    11] loss: 0.156
[2,    16] loss: 0.218
[2,    21] loss: 0.009
[2,    26] loss: 0.003
[2,    31] loss: 0.004
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[3,     1] loss: 0.003
[3,     6] loss: 0.003
[3,    11] loss: 0.005
[3,    16] loss: 0.002
[3,    21] loss: 0.002
[3,    26] loss: 0.002
[3,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.026
[4,     6] loss: 0.003
[4,    11] loss: 0.003
[4,    16] loss: 0.001
[4,    21] loss: 0.002
[4,    26] loss: 0.002
[4,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.003
[5,     6] loss: 0.004
[5,    11] loss: 0.002
[5,    16] loss: 0.002
[5,    21] loss: 0.002
[5,    26] loss: 0.002
[5,    31] loss: 0.003
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.003
[6,     6] loss: 0.003
[6,    11] loss: 0.001
[6,    16] loss: 0.002
[6,    21] loss: 0.002
[6,    26] loss: 0.003
[6,    31] loss: 0.007
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.001
[7,     6] loss: 0.002
[7,    11] loss: 0.006
[7,    16] loss: 0.001
[7,    21] loss: 0.001
[7,    26] loss: 0.002
[7,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.003
[8,     6] loss: 0.001
[8,    11] loss: 0.001
[8,    16] loss: 0.021
[8,    21] loss: 0.671
[8,    26] loss: 0.565
[8,    31] loss: 0.022
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.013
[9,     6] loss: 0.011
[9,    11] loss: 0.002
[9,    16] loss: 0.011
[9,    21] loss: 0.002
[9,    26] loss: 0.002
[9,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.006
[10,     6] loss: 0.003
[10,    11] loss: 0.002
[10,    16] loss: 0.002
[10,    21] loss: 0.004
[10,    26] loss: 0.001
[10,    31] loss: 0.005
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.003
[11,     6] loss: 0.002
[11,    11] loss: 0.001
[11,    16] loss: 0.002
[11,    21] loss: 0.001
[11,    26] loss: 0.002
[11,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[12,     1] loss: 0.004
[12,     6] loss: 0.003
[12,    11] loss: 0.002
[12,    16] loss: 0.002
[12,    21] loss: 0.002
[12,    26] loss: 0.002
[12,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.003
[13,    21] loss: 0.003
[13,    26] loss: 0.001
[13,    31] loss: 0.003
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.002
[14,     6] loss: 0.002
[14,    11] loss: 0.003
[14,    16] loss: 0.002
[14,    21] loss: 0.002
[14,    26] loss: 0.002
[14,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.002
[15,     6] loss: 0.002
[15,    11] loss: 0.001
[15,    16] loss: 0.003
[15,    21] loss: 0.003
[15,    26] loss: 0.002
[15,    31] loss: 0.003
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.001
[16,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.002
[17,    21] loss: 0.002
[17,    26] loss: 0.003
[17,    31] loss: 0.004
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.003
[18,     6] loss: 0.003
[18,    11] loss: 0.003
[18,    16] loss: 0.001
[18,    21] loss: 0.005
[18,    26] loss: 0.001
[18,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.002
[19,    26] loss: 0.004
[19,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.027
[20,     6] loss: 0.634
[20,    11] loss: 0.015
[20,    16] loss: 0.006
[20,    21] loss: 0.005
[20,    26] loss: 0.003
[20,    31] loss: 0.003
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.003
[21,     6] loss: 0.002
[21,    11] loss: 0.005
[21,    16] loss: 0.002
[21,    21] loss: 0.003
[21,    26] loss: 0.003
[21,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.001
[22,    26] loss: 0.004
[22,    31] loss: 0.003
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.002
[23,    21] loss: 0.003
[23,    26] loss: 0.002
[23,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.003
[24,     6] loss: 0.003
[24,    11] loss: 0.003
[24,    16] loss: 0.002
[24,    21] loss: 0.002
[24,    26] loss: 0.003
[24,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.001
[25,     6] loss: 0.005
[25,    11] loss: 0.001
[25,    16] loss: 0.002
[25,    21] loss: 0.002
[25,    26] loss: 0.002
[25,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.002
[26,     6] loss: 0.001
[26,    11] loss: 0.001
[26,    16] loss: 0.002
[26,    21] loss: 0.002
[26,    26] loss: 0.001
[26,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.004
[27,     6] loss: 0.002
[27,    11] loss: 0.003
[27,    16] loss: 0.002
[27,    21] loss: 0.002
[27,    26] loss: 0.001
[27,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.002
[28,     6] loss: 0.002
[28,    11] loss: 0.002
[28,    16] loss: 0.002
[28,    21] loss: 0.001
[28,    26] loss: 0.002
[28,    31] loss: 0.003
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.002
[29,     6] loss: 0.001
[29,    11] loss: 0.003
[29,    16] loss: 0.002
[29,    21] loss: 0.002
[29,    26] loss: 0.002
[29,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.009
[30,     6] loss: 0.002
[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
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.001
[31,     6] loss: 0.001
[31,    11] loss: 0.002
[31,    16] loss: 0.001
[31,    21] loss: 0.001
[31,    26] loss: 0.001
[31,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.001
[32,     6] loss: 0.002
[32,    11] loss: 0.002
[32,    16] loss: 0.001
[32,    21] loss: 0.002
[32,    26] loss: 0.001
[32,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.002
[33,     6] loss: 0.001
[33,    11] loss: 0.002
[33,    16] loss: 0.001
[33,    21] loss: 0.001
[33,    26] loss: 0.001
[33,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.002
[34,     6] loss: 0.003
[34,    11] loss: 0.001
[34,    16] loss: 0.002
[34,    21] loss: 0.002
[34,    26] loss: 0.003
[34,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.001
[35,     6] loss: 0.002
[35,    11] loss: 0.001
[35,    16] loss: 0.001
[35,    21] loss: 0.002
[35,    26] loss: 0.001
[35,    31] loss: 0.004
[[ 47 119]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 47 %
[36,     1] loss: 0.830
[36,     6] loss: 0.100
[36,    11] loss: 0.033
[36,    16] loss: 0.011
[36,    21] loss: 0.005
[36,    26] loss: 0.006
[36,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.003
[37,     6] loss: 0.002
[37,    11] loss: 0.001
[37,    16] loss: 0.001
[37,    21] loss: 0.001
[37,    26] loss: 0.004
[37,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.017
[38,     6] loss: 0.030
[38,    11] loss: 0.004
[38,    16] loss: 0.009
[38,    21] loss: 0.004
[38,    26] loss: 0.004
[38,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.002
[40,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.002
[41,    21] loss: 0.001
[41,    26] loss: 0.002
[41,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.002
[42,     6] loss: 0.001
[42,    11] loss: 0.001
[42,    16] loss: 0.002
[42,    21] loss: 0.002
[42,    26] loss: 0.002
[42,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.002
[43,    26] loss: 0.001
[43,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.002
[44,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.002
[45,     6] loss: 0.002
[45,    11] loss: 0.002
[45,    16] loss: 0.002
[45,    21] loss: 0.002
[45,    26] loss: 0.001
[45,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.001
[46,     6] loss: 0.002
[46,    11] loss: 0.001
[46,    16] loss: 0.002
[46,    21] loss: 0.002
[46,    26] loss: 0.001
[46,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.002
[47,    21] loss: 0.001
[47,    26] loss: 0.001
[47,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.002
[48,     6] loss: 0.003
[48,    11] loss: 0.002
[48,    16] loss: 0.002
[48,    21] loss: 0.002
[48,    26] loss: 0.001
[48,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.002
[49,    26] loss: 0.001
[49,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.004
[50,     6] loss: 0.002
[50,    11] loss: 0.001
[50,    16] loss: 0.002
[50,    21] loss: 0.003
[50,    26] loss: 0.003
[50,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.001
[51,     6] loss: 0.002
[51,    11] loss: 0.003
[51,    16] loss: 0.001
[51,    21] loss: 0.001
[51,    26] loss: 0.001
[51,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.002
[52,     6] loss: 0.002
[52,    11] loss: 0.002
[52,    16] loss: 0.001
[52,    21] loss: 0.003
[52,    26] loss: 0.002
[52,    31] loss: 0.003
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.003
[53,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.001
[54,     6] loss: 0.002
[54,    11] loss: 0.001
[54,    16] loss: 0.006
[54,    21] loss: 0.002
[54,    26] loss: 0.002
[54,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.002
[55,     6] loss: 0.001
[55,    11] loss: 0.003
[55,    16] loss: 0.002
[55,    21] loss: 0.004
[55,    26] loss: 0.002
[55,    31] loss: 0.003
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.002
[56,     6] loss: 0.001
[56,    11] loss: 0.001
[56,    16] loss: 0.002
[56,    21] loss: 0.003
[56,    26] loss: 0.001
[56,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.001
[57,     6] loss: 0.002
[57,    11] loss: 0.002
[57,    16] loss: 0.002
[57,    21] loss: 0.002
[57,    26] loss: 0.002
[57,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.001
[58,     6] loss: 0.002
[58,    11] loss: 0.002
[58,    16] loss: 0.001
[58,    21] loss: 0.001
[58,    26] loss: 0.002
[58,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.002
[59,     6] loss: 0.001
[59,    11] loss: 0.001
[59,    16] loss: 0.001
[59,    21] loss: 0.002
[59,    26] loss: 0.002
[59,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.002
[60,     6] loss: 0.002
[60,    11] loss: 0.001
[60,    16] loss: 0.002
[60,    21] loss: 0.001
[60,    26] loss: 0.002
[60,    31] loss: 0.003
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_on_right
555
199
CONCEPT SAMPLE COUNT concept_wall_on_right 199 555
527 227
[1,     1] loss: 0.961
[1,     6] loss: 0.735
[1,    11] loss: 0.541
[1,    16] loss: 0.617
[1,    21] loss: 0.645
[1,    26] loss: 0.611
[1,    31] loss: 0.567
[[166   0]
 [ 61   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 73 %
[2,     1] loss: 0.391
[2,     6] loss: 0.582
[2,    11] loss: 0.500
[2,    16] loss: 0.394
[2,    21] loss: 0.164
[2,    26] loss: 0.003
[2,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[3,     1] loss: 0.021
[3,     6] loss: 0.002
[3,    11] loss: 0.001
[3,    16] loss: 0.001
[3,    21] loss: 0.001
[3,    26] loss: 0.001
[3,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.001
[4,     6] loss: 0.001
[4,    11] loss: 0.001
[4,    16] loss: 0.001
[4,    21] loss: 0.001
[4,    26] loss: 0.001
[4,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.001
[5,     6] loss: 0.002
[5,    11] loss: 0.001
[5,    16] loss: 0.001
[5,    21] loss: 0.003
[5,    26] loss: 0.001
[5,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[6,     1] loss: 0.000
[6,     6] loss: 0.000
[6,    11] loss: 0.001
[6,    16] loss: 0.001
[6,    21] loss: 0.006
[6,    26] loss: 0.000
[6,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.271
[7,    21] loss: 0.018
[7,    26] loss: 0.007
[7,    31] loss: 0.003
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.002
[8,     6] loss: 0.001
[8,    11] loss: 0.001
[8,    16] loss: 0.001
[8,    21] loss: 0.001
[8,    26] loss: 0.000
[8,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.001
[9,    21] loss: 0.001
[9,    26] loss: 0.001
[9,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.001
[10,     6] loss: 0.001
[10,    11] loss: 0.001
[10,    16] loss: 0.001
[10,    21] loss: 0.001
[10,    26] loss: 0.002
[10,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.002
[11,    21] loss: 0.000
[11,    26] loss: 0.001
[11,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.005
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.000
[13,     6] loss: 0.001
[13,    11] loss: 0.001
[13,    16] loss: 0.001
[13,    21] loss: 0.001
[13,    26] loss: 0.001
[13,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.002
[14,    21] loss: 0.001
[14,    26] loss: 0.001
[14,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.005
[16,     6] loss: 0.004
[16,    11] loss: 0.006
[16,    16] loss: 0.002
[16,    21] loss: 0.002
[16,    26] loss: 0.001
[16,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.002
[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
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.000
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.000
[20,    21] loss: 0.001
[20,    26] loss: 0.001
[20,    31] loss: 0.000
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.000
[21,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.002
[22,    26] loss: 0.001
[22,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.000
[23,    26] loss: 0.001
[23,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.008
[24,    21] loss: 0.001
[24,    26] loss: 0.001
[24,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.000
[25,     6] loss: 0.000
[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
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.001
[26,     6] loss: 0.001
[26,    11] loss: 0.000
[26,    16] loss: 0.001
[26,    21] loss: 0.001
[26,    26] loss: 0.001
[26,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.002
[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
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.001
[28,     6] loss: 0.001
[28,    11] loss: 0.002
[28,    16] loss: 0.287
[28,    21] loss: 0.006
[28,    26] loss: 0.009
[28,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.003
[29,     6] loss: 0.002
[29,    11] loss: 0.002
[29,    16] loss: 0.001
[29,    21] loss: 0.002
[29,    26] loss: 0.001
[29,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.001
[30,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.001
[31,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.001
[32,     6] loss: 0.002
[32,    11] loss: 0.002
[32,    16] loss: 0.001
[32,    21] loss: 0.001
[32,    26] loss: 0.001
[32,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.001
[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
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.000
[34,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.001
[38,    21] loss: 0.000
[38,    26] loss: 0.001
[38,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.001
[39,     6] loss: 0.000
[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
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.000
[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: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.001
[41,     6] loss: 0.000
[41,    11] loss: 0.002
[41,    16] loss: 0.001
[41,    21] loss: 0.001
[41,    26] loss: 0.001
[41,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.001
[42,    21] loss: 0.001
[42,    26] loss: 0.001
[42,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.001
[43,    21] loss: 0.001
[43,    26] loss: 0.001
[43,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.001
[45,    21] loss: 0.002
[45,    26] loss: 0.001
[45,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.000
[46,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.001
[47,     6] loss: 0.001
[47,    11] loss: 0.000
[47,    16] loss: 0.001
[47,    21] loss: 0.342
[47,    26] loss: 0.378
[47,    31] loss: 0.020
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.007
[48,     6] loss: 0.027
[48,    11] loss: 0.001
[48,    16] loss: 0.001
[48,    21] loss: 0.002
[48,    26] loss: 0.001
[48,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.002
[49,    21] loss: 0.001
[49,    26] loss: 0.001
[49,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.002
[50,     6] loss: 0.002
[50,    11] loss: 0.001
[50,    16] loss: 0.001
[50,    21] loss: 0.002
[50,    26] loss: 0.002
[50,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.001
[51,     6] loss: 0.002
[51,    11] loss: 0.001
[51,    16] loss: 0.001
[51,    21] loss: 0.001
[51,    26] loss: 0.002
[51,    31] loss: 0.002
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.001
[53,    21] loss: 0.001
[53,    26] loss: 0.001
[53,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.002
[54,    26] loss: 0.001
[54,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.002
[57,    26] loss: 0.001
[57,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[58,     1] loss: 0.001
[58,     6] loss: 0.000
[58,    11] loss: 0.001
[58,    16] loss: 0.001
[58,    21] loss: 0.001
[58,    26] loss: 0.002
[58,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
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: 0.000
[60,    26] loss: 0.000
[60,    31] loss: 0.001
[[166   0]
 [  0  61]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_on_right_of_box
585
169
CONCEPT SAMPLE COUNT concept_wall_on_right_of_box 169 585
527 227
[1,     1] loss: 0.279
[1,     6] loss: 0.977
[1,    11] loss: 0.482
[1,    16] loss: 0.482
[1,    21] loss: 0.585
[1,    26] loss: 0.556
[1,    31] loss: 0.563
[[174   0]
 [ 53   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 76 %
[2,     1] loss: 0.625
[2,     6] loss: 0.414
[2,    11] loss: 0.457
[2,    16] loss: 0.626
[2,    21] loss: 0.477
[2,    26] loss: 0.569
[2,    31] loss: 0.479
[[174   0]
 [ 53   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 76 %
[3,     1] loss: 0.380
[3,     6] loss: 0.477
[3,    11] loss: 0.560
[3,    16] loss: 0.481
[3,    21] loss: 0.559
[3,    26] loss: 0.482
[3,    31] loss: 0.630
[[174   0]
 [ 53   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 76 %
[4,     1] loss: 0.450
[4,     6] loss: 0.557
[4,    11] loss: 0.726
[4,    16] loss: 0.562
[4,    21] loss: 0.360
[4,    26] loss: 0.552
[4,    31] loss: 0.594
[[174   0]
 [ 53   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 76 %
[5,     1] loss: 0.553
[5,     6] loss: 0.419
[5,    11] loss: 0.307
[5,    16] loss: 0.700
[5,    21] loss: 0.473
[5,    26] loss: 0.553
[5,    31] loss: 0.553
[[174   0]
 [ 53   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 76 %
[6,     1] loss: 0.306
[6,     6] loss: 0.629
[6,    11] loss: 0.644
[6,    16] loss: 0.608
[6,    21] loss: 0.637
[6,    26] loss: 0.539
[6,    31] loss: 0.467
[[174   0]
 [ 53   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 76 %
[7,     1] loss: 0.457
[7,     6] loss: 0.547
[7,    11] loss: 0.506
[7,    16] loss: 0.726
[7,    21] loss: 0.525
[7,    26] loss: 0.480
[7,    31] loss: 0.468
[[174   0]
 [ 53   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 76 %
[8,     1] loss: 0.420
[8,     6] loss: 0.671
[8,    11] loss: 0.207
[8,    16] loss: 0.500
[8,    21] loss: 0.052
[8,    26] loss: 0.477
[8,    31] loss: 0.475
[[174   0]
 [ 44   9]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 80 %
[9,     1] loss: 0.713
[9,     6] loss: 0.314
[9,    11] loss: 0.260
[9,    16] loss: 0.337
[9,    21] loss: 0.247
[9,    26] loss: 0.242
[9,    31] loss: 0.174
[[174   0]
 [ 19  34]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 91 %
[10,     1] loss: 0.054
[10,     6] loss: 0.152
[10,    11] loss: 0.267
[10,    16] loss: 0.128
[10,    21] loss: 0.320
[10,    26] loss: 0.183
[10,    31] loss: 0.332
[[174   0]
 [  4  49]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[11,     1] loss: 0.034
[11,     6] loss: 0.062
[11,    11] loss: 0.020
[11,    16] loss: 0.239
[11,    21] loss: 0.022
[11,    26] loss: 0.325
[11,    31] loss: 0.016
[[173   1]
 [  4  49]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 97 %
[12,     1] loss: 0.063
[12,     6] loss: 0.126
[12,    11] loss: 0.014
[12,    16] loss: 0.004
[12,    21] loss: 0.005
[12,    26] loss: 0.026
[12,    31] loss: 0.004
[[174   0]
 [  3  50]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[13,     1] loss: 0.018
[13,     6] loss: 0.126
[13,    11] loss: 0.081
[13,    16] loss: 0.125
[13,    21] loss: 0.010
[13,    26] loss: 0.011
[13,    31] loss: 0.004
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.017
[14,     6] loss: 0.004
[14,    11] loss: 0.003
[14,    16] loss: 0.593
[14,    21] loss: 0.097
[14,    26] loss: 0.036
[14,    31] loss: 0.030
[[174   0]
 [  3  50]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[15,     1] loss: 0.013
[15,     6] loss: 0.040
[15,    11] loss: 0.007
[15,    16] loss: 0.006
[15,    21] loss: 0.304
[15,    26] loss: 0.010
[15,    31] loss: 0.008
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.005
[16,     6] loss: 0.004
[16,    11] loss: 0.006
[16,    16] loss: 0.006
[16,    21] loss: 0.004
[16,    26] loss: 0.004
[16,    31] loss: 0.009
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.008
[17,     6] loss: 0.006
[17,    11] loss: 0.002
[17,    16] loss: 0.085
[17,    21] loss: 0.008
[17,    26] loss: 0.002
[17,    31] loss: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.002
[18,     6] loss: 0.003
[18,    11] loss: 0.002
[18,    16] loss: 0.002
[18,    21] loss: 0.036
[18,    26] loss: 0.016
[18,    31] loss: 0.003
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.004
[19,     6] loss: 0.006
[19,    11] loss: 0.003
[19,    16] loss: 0.003
[19,    21] loss: 0.003
[19,    26] loss: 0.002
[19,    31] loss: 0.003
[[172   2]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[20,     1] loss: 0.075
[20,     6] loss: 0.002
[20,    11] loss: 0.005
[20,    16] loss: 0.003
[20,    21] loss: 0.254
[20,    26] loss: 0.002
[20,    31] loss: 0.006
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.002
[21,     6] loss: 0.231
[21,    11] loss: 0.003
[21,    16] loss: 0.003
[21,    21] loss: 0.004
[21,    26] loss: 0.004
[21,    31] loss: 0.003
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.002
[22,     6] loss: 0.003
[22,    11] loss: 0.006
[22,    16] loss: 0.003
[22,    21] loss: 0.001
[22,    26] loss: 0.005
[22,    31] loss: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.002
[23,     6] loss: 0.002
[23,    11] loss: 0.004
[23,    16] loss: 0.002
[23,    21] loss: 0.095
[23,    26] loss: 0.005
[23,    31] loss: 0.007
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.004
[24,     6] loss: 0.002
[24,    11] loss: 0.006
[24,    16] loss: 0.007
[24,    21] loss: 0.004
[24,    26] loss: 0.005
[24,    31] loss: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.003
[25,     6] loss: 0.002
[25,    11] loss: 0.005
[25,    16] loss: 0.004
[25,    21] loss: 0.003
[25,    26] loss: 0.001
[25,    31] loss: 0.003
[[167   7]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[26,     1] loss: 0.152
[26,     6] loss: 0.000
[26,    11] loss: 0.004
[26,    16] loss: 0.003
[26,    21] loss: 0.007
[26,    26] loss: 0.002
[26,    31] loss: 0.003
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.141
[27,     6] loss: 0.003
[27,    11] loss: 0.005
[27,    16] loss: 0.002
[27,    21] loss: 0.002
[27,    26] loss: 0.006
[27,    31] loss: 0.003
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.002
[28,     6] loss: 0.002
[28,    11] loss: 0.002
[28,    16] loss: 0.001
[28,    21] loss: 0.002
[28,    26] loss: 0.002
[28,    31] loss: 0.001
[[165   9]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[29,     1] loss: 0.231
[29,     6] loss: 0.008
[29,    11] loss: 0.012
[29,    16] loss: 0.009
[29,    21] loss: 0.003
[29,    26] loss: 0.007
[29,    31] loss: 0.013
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[30,     1] loss: 0.004
[30,     6] loss: 0.007
[30,    11] loss: 0.003
[30,    16] loss: 0.005
[30,    21] loss: 0.005
[30,    26] loss: 0.002
[30,    31] loss: 0.007
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.001
[31,     6] loss: 0.002
[31,    11] loss: 0.002
[31,    16] loss: 0.003
[31,    21] loss: 0.002
[31,    26] loss: 0.010
[31,    31] loss: 0.003
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.001
[32,     6] loss: 0.001
[32,    11] loss: 0.100
[32,    16] loss: 0.002
[32,    21] loss: 0.003
[32,    26] loss: 0.002
[32,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.003
[33,     6] loss: 0.001
[33,    11] loss: 0.003
[33,    16] loss: 0.001
[33,    21] loss: 0.001
[33,    26] loss: 0.002
[33,    31] loss: 0.104
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.002
[34,     6] loss: 0.003
[34,    11] loss: 0.004
[34,    16] loss: 0.002
[34,    21] loss: 0.002
[34,    26] loss: 0.001
[34,    31] loss: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.001
[35,     6] loss: 0.002
[35,    11] loss: 0.002
[35,    16] loss: 0.001
[35,    21] loss: 0.002
[35,    26] loss: 0.001
[35,    31] loss: 0.003
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.006
[36,     6] loss: 0.002
[36,    11] loss: 0.002
[36,    16] loss: 0.002
[36,    21] loss: 0.002
[36,    26] loss: 0.001
[36,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.002
[37,    21] loss: 0.002
[37,    26] loss: 0.004
[37,    31] loss: 0.080
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[38,     1] loss: 0.004
[38,     6] loss: 0.002
[38,    11] loss: 0.022
[38,    16] loss: 0.002
[38,    21] loss: 0.003
[38,    26] loss: 0.002
[38,    31] loss: 0.003
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.002
[39,     6] loss: 0.002
[39,    11] loss: 0.004
[39,    16] loss: 0.002
[39,    21] loss: 0.001
[39,    26] loss: 0.003
[39,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.001
[40,     6] loss: 0.003
[40,    11] loss: 0.002
[40,    16] loss: 0.002
[40,    21] loss: 0.003
[40,    26] loss: 0.007
[40,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[41,     1] loss: 0.001
[41,     6] loss: 0.002
[41,    11] loss: 0.030
[41,    16] loss: 0.002
[41,    21] loss: 0.001
[41,    26] loss: 0.001
[41,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[42,     1] loss: 0.001
[42,     6] loss: 0.003
[42,    11] loss: 0.004
[42,    16] loss: 0.002
[42,    21] loss: 0.003
[42,    26] loss: 0.001
[42,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.001
[43,     6] loss: 0.001
[43,    11] loss: 0.002
[43,    16] loss: 0.003
[43,    21] loss: 0.001
[43,    26] loss: 0.001
[43,    31] loss: 0.004
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.002
[44,     6] loss: 0.001
[44,    11] loss: 0.001
[44,    16] loss: 0.002
[44,    21] loss: 0.001
[44,    26] loss: 0.002
[44,    31] loss: 0.003
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.004
[45,     6] loss: 0.001
[45,    11] loss: 0.002
[45,    16] loss: 0.001
[45,    21] loss: 0.017
[45,    26] loss: 0.001
[45,    31] loss: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.001
[46,     6] loss: 0.001
[46,    11] loss: 0.005
[46,    16] loss: 0.002
[46,    21] loss: 0.002
[46,    26] loss: 0.002
[46,    31] loss: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.003
[47,     6] loss: 0.002
[47,    11] loss: 0.001
[47,    16] loss: 0.003
[47,    21] loss: 0.002
[47,    26] loss: 0.001
[47,    31] loss: 0.074
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.006
[48,     6] loss: 0.001
[48,    11] loss: 0.003
[48,    16] loss: 0.004
[48,    21] loss: 0.005
[48,    26] loss: 0.002
[48,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.001
[49,     6] loss: 0.001
[49,    11] loss: 0.039
[49,    16] loss: 0.002
[49,    21] loss: 0.002
[49,    26] loss: 0.004
[49,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.002
[50,     6] loss: 0.002
[50,    11] loss: 0.026
[50,    16] loss: 0.003
[50,    21] loss: 0.001
[50,    26] loss: 0.001
[50,    31] loss: 0.005
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.002
[51,    21] loss: 0.001
[51,    26] loss: 0.008
[51,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.003
[52,     6] loss: 0.003
[52,    11] loss: 0.002
[52,    16] loss: 0.001
[52,    21] loss: 0.003
[52,    26] loss: 0.019
[52,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.004
[53,     6] loss: 0.004
[53,    11] loss: 0.005
[53,    16] loss: 0.002
[53,    21] loss: 0.003
[53,    26] loss: 0.001
[53,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.001
[54,     6] loss: 0.002
[54,    11] loss: 0.002
[54,    16] loss: 0.003
[54,    21] loss: 0.002
[54,    26] loss: 0.003
[54,    31] loss: 0.003
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.005
[55,     6] loss: 0.001
[55,    11] loss: 0.003
[55,    16] loss: 0.003
[55,    21] loss: 0.001
[55,    26] loss: 0.001
[55,    31] loss: 0.037
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.002
[56,     6] loss: 0.003
[56,    11] loss: 0.002
[56,    16] loss: 0.002
[56,    21] loss: 0.019
[56,    26] loss: 0.002
[56,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.003
[57,     6] loss: 0.002
[57,    11] loss: 0.002
[57,    16] loss: 0.002
[57,    21] loss: 0.001
[57,    26] loss: 0.021
[57,    31] loss: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
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: 0.005
[58,    21] loss: 0.001
[58,    26] loss: 0.001
[58,    31] loss: 0.002
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.002
[59,     6] loss: 0.002
[59,    11] loss: 0.003
[59,    16] loss: 0.001
[59,    21] loss: 0.005
[59,    26] loss: 0.002
[59,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.002
[60,     6] loss: 0.001
[60,    11] loss: 0.002
[60,    16] loss: 0.013
[60,    21] loss: 0.001
[60,    26] loss: 0.002
[60,    31] loss: 0.001
[[174   0]
 [  0  53]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_on_top
584
170
CONCEPT SAMPLE COUNT concept_wall_on_top 170 584
527 227
[1,     1] loss: 1.286
[1,     6] loss: 0.599
[1,    11] loss: 0.609
[1,    16] loss: 0.492
[1,    21] loss: 0.513
[1,    26] loss: 0.631
[1,    31] loss: 0.618
[[189   0]
 [ 38   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 83 %
[2,     1] loss: 0.546
[2,     6] loss: 0.604
[2,    11] loss: 0.553
[2,    16] loss: 0.534
[2,    21] loss: 0.469
[2,    26] loss: 0.417
[2,    31] loss: 0.542
[[189   0]
 [ 13  25]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 94 %
[3,     1] loss: 0.152
[3,     6] loss: 0.125
[3,    11] loss: 0.029
[3,    16] loss: 0.191
[3,    21] loss: 0.087
[3,    26] loss: 0.005
[3,    31] loss: 0.002
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[4,     1] loss: 0.002
[4,     6] loss: 0.007
[4,    11] loss: 0.002
[4,    16] loss: 0.002
[4,    21] loss: 0.003
[4,    26] loss: 0.001
[4,    31] loss: 0.002
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[5,     1] loss: 0.001
[5,     6] loss: 0.001
[5,    11] loss: 0.002
[5,    16] loss: 0.001
[5,    21] loss: 0.003
[5,    26] loss: 0.001
[5,    31] loss: 0.002
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.002
[6,    21] loss: 0.003
[6,    26] loss: 0.002
[6,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.002
[7,     6] loss: 0.001
[7,    11] loss: 0.001
[7,    16] loss: 0.002
[7,    21] loss: 0.001
[7,    26] loss: 0.001
[7,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.003
[8,     6] loss: 0.001
[8,    11] loss: 0.001
[8,    16] loss: 0.001
[8,    21] loss: 0.002
[8,    26] loss: 0.002
[8,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[9,     1] loss: 0.002
[9,     6] loss: 0.003
[9,    11] loss: 0.001
[9,    16] loss: 0.000
[9,    21] loss: 0.001
[9,    26] loss: 0.003
[9,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.001
[10,     6] loss: 0.001
[10,    11] loss: 0.002
[10,    16] loss: 0.001
[10,    21] loss: 0.003
[10,    26] loss: 0.001
[10,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.001
[11,    21] loss: 0.001
[11,    26] loss: 0.001
[11,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.003
[12,    26] loss: 0.003
[12,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.003
[14,     6] loss: 0.001
[14,    11] loss: 0.001
[14,    16] loss: 0.001
[14,    21] loss: 0.002
[14,    26] loss: 0.001
[14,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.007
[15,     6] loss: 0.019
[15,    11] loss: 0.003
[15,    16] loss: 0.002
[15,    21] loss: 0.002
[15,    26] loss: 0.002
[15,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.002
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.001
[19,     6] loss: 0.002
[19,    11] loss: 0.001
[19,    16] loss: 0.002
[19,    21] loss: 0.001
[19,    26] loss: 0.001
[19,    31] loss: 0.002
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.001
[20,    26] loss: 0.001
[20,    31] loss: 0.002
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.001
[21,     6] loss: 0.001
[21,    11] loss: 0.002
[21,    16] loss: 0.001
[21,    21] loss: 0.001
[21,    26] loss: 0.001
[21,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.002
[22,    21] loss: 0.002
[22,    26] loss: 0.001
[22,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.003
[23,     6] loss: 0.219
[23,    11] loss: 0.033
[23,    16] loss: 0.007
[23,    21] loss: 0.012
[23,    26] loss: 0.004
[23,    31] loss: 0.003
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.003
[24,     6] loss: 0.003
[24,    11] loss: 0.003
[24,    16] loss: 0.001
[24,    21] loss: 0.002
[24,    26] loss: 0.001
[24,    31] loss: 0.002
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[25,     1] loss: 0.002
[25,     6] loss: 0.001
[25,    11] loss: 0.002
[25,    16] loss: 0.000
[25,    21] loss: 0.001
[25,    26] loss: 0.002
[25,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.002
[26,    21] loss: 0.001
[26,    26] loss: 0.002
[26,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.002
[27,    31] loss: 0.000
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.001
[28,    26] loss: 0.001
[28,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.002
[29,    21] loss: 0.001
[29,    26] loss: 0.001
[29,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.001
[30,    21] loss: 0.001
[30,    26] loss: 0.001
[30,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.002
[31,    26] loss: 0.001
[31,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.001
[32,    26] loss: 0.000
[32,    31] loss: 0.000
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.002
[33,    26] loss: 0.001
[33,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.002
[34,    21] loss: 0.001
[34,    26] loss: 0.001
[34,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.002
[35,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[36,     1] loss: 0.001
[36,     6] loss: 0.001
[36,    11] loss: 0.000
[36,    16] loss: 0.001
[36,    21] loss: 0.002
[36,    26] loss: 0.001
[36,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.002
[38,    21] loss: 0.001
[38,    26] loss: 0.002
[38,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.000
[39,     6] loss: 0.001
[39,    11] loss: 0.001
[39,    16] loss: 0.002
[39,    21] loss: 0.001
[39,    26] loss: 0.001
[39,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.000
[40,     6] loss: 0.001
[40,    11] loss: 0.001
[40,    16] loss: 0.001
[40,    21] loss: 0.003
[40,    26] loss: 0.003
[40,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.001
[41,    21] loss: 0.001
[41,    26] loss: 0.001
[41,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.002
[42,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.001
[43,    26] loss: 0.000
[43,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[44,     1] loss: 0.001
[44,     6] loss: 0.002
[44,    11] loss: 0.000
[44,    16] loss: 0.001
[44,    21] loss: 0.001
[44,    26] loss: 0.001
[44,    31] loss: 0.000
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.001
[45,    21] loss: 0.001
[45,    26] loss: 0.001
[45,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.002
[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: 0.002
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.001
[47,     6] loss: 0.000
[47,    11] loss: 0.001
[47,    16] loss: 0.001
[47,    21] loss: 0.000
[47,    26] loss: 0.001
[47,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.001
[48,     6] loss: 0.002
[48,    11] loss: 0.000
[48,    16] loss: 0.001
[48,    21] loss: 0.001
[48,    26] loss: 0.002
[48,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.000
[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
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.002
[51,     6] loss: 0.000
[51,    11] loss: 0.001
[51,    16] loss: 0.000
[51,    21] loss: 0.001
[51,    26] loss: 0.003
[51,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.000
[52,     6] loss: 0.001
[52,    11] loss: 0.001
[52,    16] loss: 0.003
[52,    21] loss: 0.001
[52,    26] loss: 0.001
[52,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[53,     1] loss: 0.000
[53,     6] loss: 0.001
[53,    11] loss: 0.002
[53,    16] loss: 0.002
[53,    21] loss: 0.001
[53,    26] loss: 0.001
[53,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.002
[54,    26] loss: 0.002
[54,    31] loss: 0.002
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.002
[55,     6] loss: 0.001
[55,    11] loss: 0.000
[55,    16] loss: 0.001
[55,    21] loss: 0.001
[55,    26] loss: 0.001
[55,    31] loss: 0.000
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.000
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.000
[57,    31] loss: 0.002
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.001
[58,    21] loss: 0.002
[58,    26] loss: 0.001
[58,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
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: 0.000
[59,    26] loss: 0.001
[59,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[60,     1] loss: 0.002
[60,     6] loss: 0.000
[60,    11] loss: 0.001
[60,    16] loss: 0.001
[60,    21] loss: 0.002
[60,    26] loss: 0.001
[60,    31] loss: 0.001
[[189   0]
 [  0  38]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_top_left
723
31
CONCEPT SAMPLE COUNT concept_wall_top_left 31 723
527 227
[1,     1] loss: 0.263
[1,     6] loss: 0.432
[1,    11] loss: 0.001
[1,    16] loss: 0.260
[1,    21] loss: 0.131
[1,    26] loss: 0.259
[1,    31] loss: 0.010
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[2,     1] loss: 0.534
[2,     6] loss: 0.020
[2,    11] loss: 0.459
[2,    16] loss: 0.034
[2,    21] loss: 0.438
[2,    26] loss: 0.045
[2,    31] loss: 0.126
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[3,     1] loss: 0.388
[3,     6] loss: 0.231
[3,    11] loss: 0.054
[3,    16] loss: 0.066
[3,    21] loss: 0.046
[3,    26] loss: 0.033
[3,    31] loss: 0.245
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[4,     1] loss: 0.240
[4,     6] loss: 0.597
[4,    11] loss: 0.234
[4,    16] loss: 0.238
[4,    21] loss: 0.401
[4,    26] loss: 0.024
[4,    31] loss: 0.016
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[5,     1] loss: 0.239
[5,     6] loss: 0.064
[5,    11] loss: 0.084
[5,    16] loss: 0.092
[5,    21] loss: 0.249
[5,    26] loss: 0.264
[5,    31] loss: 0.227
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[6,     1] loss: 0.059
[6,     6] loss: 0.242
[6,    11] loss: 0.230
[6,    16] loss: 0.062
[6,    21] loss: 0.231
[6,    26] loss: 0.224
[6,    31] loss: 0.076
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[7,     1] loss: 0.048
[7,     6] loss: 0.030
[7,    11] loss: 0.240
[7,    16] loss: 0.240
[7,    21] loss: 0.223
[7,    26] loss: 0.049
[7,    31] loss: 0.224
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[8,     1] loss: 0.372
[8,     6] loss: 0.064
[8,    11] loss: 0.048
[8,    16] loss: 0.053
[8,    21] loss: 0.236
[8,    26] loss: 0.232
[8,    31] loss: 0.224
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[9,     1] loss: 0.063
[9,     6] loss: 0.224
[9,    11] loss: 0.236
[9,    16] loss: 0.224
[9,    21] loss: 0.226
[9,    26] loss: 0.223
[9,    31] loss: 0.057
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[10,     1] loss: 0.240
[10,     6] loss: 0.231
[10,    11] loss: 0.032
[10,    16] loss: 0.219
[10,    21] loss: 0.445
[10,    26] loss: 0.208
[10,    31] loss: 0.224
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[11,     1] loss: 0.220
[11,     6] loss: 0.050
[11,    11] loss: 0.371
[11,    16] loss: 0.371
[11,    21] loss: 0.041
[11,    26] loss: 0.055
[11,    31] loss: 0.209
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[12,     1] loss: 0.047
[12,     6] loss: 0.222
[12,    11] loss: 0.355
[12,    16] loss: 0.031
[12,    21] loss: 0.041
[12,    26] loss: 0.371
[12,    31] loss: 0.189
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[13,     1] loss: 0.220
[13,     6] loss: 0.030
[13,    11] loss: 0.034
[13,    16] loss: 0.035
[13,    21] loss: 0.282
[13,    26] loss: 0.205
[13,    31] loss: 0.030
[[220   0]
 [  7   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[14,     1] loss: 0.047
[14,     6] loss: 0.082
[14,    11] loss: 0.007
[14,    16] loss: 0.050
[14,    21] loss: 0.003
[14,    26] loss: 0.001
[14,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.000
[15,     6] loss: 0.003
[15,    11] loss: 0.004
[15,    16] loss: 0.000
[15,    21] loss: 0.004
[15,    26] loss: 0.002
[15,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.002
[16,     6] loss: 0.003
[16,    11] loss: 0.000
[16,    16] loss: 0.005
[16,    21] loss: 0.001
[16,    26] loss: 0.004
[16,    31] loss: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.004
[17,     6] loss: 0.004
[17,    11] loss: 0.000
[17,    16] loss: 0.001
[17,    21] loss: 0.000
[17,    26] loss: 0.001
[17,    31] loss: 0.003
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.000
[18,     6] loss: 0.003
[18,    11] loss: 0.000
[18,    16] loss: 0.045
[18,    21] loss: 0.394
[18,    26] loss: 0.007
[18,    31] loss: 0.010
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.002
[19,     6] loss: 0.001
[19,    11] loss: 0.004
[19,    16] loss: 0.001
[19,    21] loss: 0.000
[19,    26] loss: 0.005
[19,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.001
[20,     6] loss: 0.003
[20,    11] loss: 0.000
[20,    16] loss: 0.001
[20,    21] loss: 0.003
[20,    26] loss: 0.001
[20,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.001
[21,     6] loss: 0.000
[21,    11] loss: 0.001
[21,    16] loss: 0.000
[21,    21] loss: 0.003
[21,    26] loss: 0.001
[21,    31] loss: 0.003
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.000
[22,    21] loss: 0.001
[22,    26] loss: 0.002
[22,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.000
[23,     6] loss: 0.001
[23,    11] loss: 0.004
[23,    16] loss: 0.001
[23,    21] loss: 0.001
[23,    26] loss: 0.004
[23,    31] loss: 0.003
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.003
[24,     6] loss: 0.002
[24,    11] loss: 0.001
[24,    16] loss: 0.001
[24,    21] loss: 0.001
[24,    26] loss: 0.000
[24,    31] loss: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.000
[25,    21] loss: 0.002
[25,    26] loss: 0.003
[25,    31] loss: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.003
[26,     6] loss: 0.001
[26,    11] loss: 0.001
[26,    16] loss: 0.001
[26,    21] loss: 0.001
[26,    26] loss: 0.000
[26,    31] loss: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.001
[27,     6] loss: 0.004
[27,    11] loss: 0.003
[27,    16] loss: 0.000
[27,    21] loss: 0.003
[27,    26] loss: 0.001
[27,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.000
[28,     6] loss: 0.001
[28,    11] loss: 0.002
[28,    16] loss: 0.001
[28,    21] loss: 0.002
[28,    26] loss: 0.001
[28,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[29,     1] loss: 0.002
[29,     6] loss: 0.001
[29,    11] loss: 0.002
[29,    16] loss: 0.001
[29,    21] loss: 0.000
[29,    26] loss: 0.221
[29,    31] loss: 0.020
[[220   0]
 [  3   4]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 98 %
[30,     1] loss: 0.013
[30,     6] loss: 0.005
[30,    11] loss: 0.004
[30,    16] loss: 0.004
[30,    21] loss: 0.003
[30,    26] loss: 0.006
[30,    31] loss: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.002
[31,     6] loss: 0.001
[31,    11] loss: 0.003
[31,    16] loss: 0.001
[31,    21] loss: 0.004
[31,    26] loss: 0.001
[31,    31] loss: 0.003
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[32,     1] loss: 0.002
[32,     6] loss: 0.002
[32,    11] loss: 0.002
[32,    16] loss: 0.003
[32,    21] loss: 0.001
[32,    26] loss: 0.002
[32,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[33,     1] loss: 0.001
[33,     6] loss: 0.001
[33,    11] loss: 0.001
[33,    16] loss: 0.002
[33,    21] loss: 0.001
[33,    26] loss: 0.001
[33,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.000
[34,    21] loss: 0.002
[34,    26] loss: 0.001
[34,    31] loss: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.000
[35,     6] loss: 0.001
[35,    11] loss: 0.001
[35,    16] loss: 0.001
[35,    21] loss: 0.003
[35,    26] loss: 0.000
[35,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.000
[36,    21] loss: 0.000
[36,    26] loss: 0.002
[36,    31] loss: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.000
[37,     6] loss: 0.001
[37,    11] loss: 0.001
[37,    16] loss: 0.000
[37,    21] loss: 0.002
[37,    26] loss: 0.000
[37,    31] loss: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.001
[39,     6] loss: 0.002
[39,    11] loss: 0.001
[39,    16] loss: 0.001
[39,    21] loss: 0.000
[39,    26] loss: 0.001
[39,    31] loss: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.002
[40,    26] loss: 0.001
[40,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.000
[41,    26] loss: 0.003
[41,    31] loss: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.000
[42,    21] loss: 0.001
[42,    26] loss: 0.001
[42,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.000
[43,     6] loss: 0.001
[43,    11] loss: 0.001
[43,    16] loss: 0.001
[43,    21] loss: 0.000
[43,    26] loss: 0.001
[43,    31] loss: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.003
[44,    21] loss: 0.001
[44,    26] loss: 0.002
[44,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.002
[45,    21] loss: 0.001
[45,    26] loss: 0.000
[45,    31] loss: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.002
[46,     6] loss: 0.001
[46,    11] loss: 0.000
[46,    16] loss: 0.001
[46,    21] loss: 0.001
[46,    26] loss: 0.001
[46,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[47,     1] loss: 0.000
[47,     6] loss: 0.001
[47,    11] loss: 0.002
[47,    16] loss: 0.001
[47,    21] loss: 0.002
[47,    26] loss: 0.002
[47,    31] loss: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.001
[48,     6] loss: 0.002
[48,    11] loss: 0.001
[48,    16] loss: 0.001
[48,    21] loss: 0.002
[48,    26] loss: 0.001
[48,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.002
[49,    26] loss: 0.000
[49,    31] loss: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.000
[50,    21] loss: 0.000
[50,    26] loss: 0.002
[50,    31] loss: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[51,     1] loss: 0.002
[51,     6] loss: 0.000
[51,    11] loss: 0.000
[51,    16] loss: 0.001
[51,    21] loss: 0.002
[51,    26] loss: 0.001
[51,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.000
[52,    21] loss: 0.001
[52,    26] loss: 0.000
[52,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.002
[53,    21] loss: 0.001
[53,    26] loss: 0.001
[53,    31] loss: 0.003
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[54,     1] loss: 0.002
[54,     6] loss: 0.000
[54,    11] loss: 0.000
[54,    16] loss: 0.001
[54,    21] loss: 0.001
[54,    26] loss: 0.002
[54,    31] loss: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.000
[55,    21] loss: 0.000
[55,    26] loss: 0.001
[55,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.002
[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: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[57,     1] loss: 0.000
[57,     6] loss: 0.000
[57,    11] loss: 0.003
[57,    16] loss: 0.001
[57,    21] loss: 0.001
[57,    26] loss: 0.002
[57,    31] loss: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.000
[58,    26] loss: 0.001
[58,    31] loss: 0.002
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.000
[59,     6] loss: 0.001
[59,    11] loss: 0.003
[59,    16] loss: 0.000
[59,    21] loss: 0.000
[59,    26] loss: 0.001
[59,    31] loss: 0.001
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
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: 0.002
[60,    21] loss: 0.001
[60,    26] loss: 0.001
[60,    31] loss: 0.000
[[220   0]
 [  0   7]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_top_right
702
52
CONCEPT SAMPLE COUNT concept_wall_top_right 52 702
527 227
[1,     1] loss: 1.716
[1,     6] loss: 1.573
[1,    11] loss: 0.488
[1,    16] loss: 0.070
[1,    21] loss: 0.222
[1,    26] loss: 0.357
[1,    31] loss: 0.353
[[214   0]
 [ 13   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 94 %
[2,     1] loss: 0.074
[2,     6] loss: 0.106
[2,    11] loss: 0.114
[2,    16] loss: 0.214
[2,    21] loss: 0.328
[2,    26] loss: 0.069
[2,    31] loss: 0.385
[[214   0]
 [ 13   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 94 %
[3,     1] loss: 0.203
[3,     6] loss: 0.203
[3,    11] loss: 0.375
[3,    16] loss: 0.150
[3,    21] loss: 0.244
[3,    26] loss: 0.097
[3,    31] loss: 0.231
[[214   0]
 [ 13   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 94 %
[4,     1] loss: 0.212
[4,     6] loss: 0.239
[4,    11] loss: 0.065
[4,    16] loss: 0.227
[4,    21] loss: 0.050
[4,    26] loss: 0.261
[4,    31] loss: 0.346
[[214   0]
 [ 13   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 94 %
[5,     1] loss: 0.031
[5,     6] loss: 0.738
[5,    11] loss: 0.052
[5,    16] loss: 0.071
[5,    21] loss: 0.154
[5,    26] loss: 0.044
[5,    31] loss: 0.072
[[214   0]
 [ 13   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 94 %
[6,     1] loss: 0.129
[6,     6] loss: 0.180
[6,    11] loss: 0.006
[6,    16] loss: 0.015
[6,    21] loss: 0.003
[6,    26] loss: 0.037
[6,    31] loss: 0.017
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[7,     1] loss: 0.005
[7,     6] loss: 0.016
[7,    11] loss: 0.005
[7,    16] loss: 0.004
[7,    21] loss: 0.002
[7,    26] loss: 0.004
[7,    31] loss: 0.029
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[8,     1] loss: 0.001
[8,     6] loss: 0.002
[8,    11] loss: 0.001
[8,    16] loss: 0.000
[8,    21] loss: 0.001
[8,    26] loss: 0.000
[8,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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: 0.033
[9,    31] loss: 0.048
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[10,     1] loss: 0.013
[10,     6] loss: 0.001
[10,    11] loss: 0.004
[10,    16] loss: 0.004
[10,    21] loss: 0.003
[10,    26] loss: 0.003
[10,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[11,     1] loss: 0.003
[11,     6] loss: 0.005
[11,    11] loss: 0.003
[11,    16] loss: 0.002
[11,    21] loss: 0.001
[11,    26] loss: 0.001
[11,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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: 0.000
[12,    21] loss: 0.001
[12,    26] loss: 0.001
[12,    31] loss: 0.002
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[13,     1] loss: 0.002
[13,     6] loss: 0.000
[13,    11] loss: 0.001
[13,    16] loss: 0.001
[13,    21] loss: 0.004
[13,    26] loss: 0.003
[13,    31] loss: 0.000
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[14,     1] loss: 0.003
[14,     6] loss: 0.002
[14,    11] loss: 0.001
[14,    16] loss: 0.001
[14,    21] loss: 0.001
[14,    26] loss: 0.003
[14,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[15,     1] loss: 0.001
[15,     6] loss: 0.000
[15,    11] loss: 0.003
[15,    16] loss: 0.001
[15,    21] loss: 0.002
[15,    26] loss: 0.002
[15,    31] loss: 0.002
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[16,     1] loss: 0.001
[16,     6] loss: 0.000
[16,    11] loss: 0.002
[16,    16] loss: 0.015
[16,    21] loss: 0.625
[16,    26] loss: 0.136
[16,    31] loss: 0.032
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[17,     1] loss: 0.012
[17,     6] loss: 0.004
[17,    11] loss: 0.006
[17,    16] loss: 0.006
[17,    21] loss: 0.005
[17,    26] loss: 0.002
[17,    31] loss: 0.004
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[18,     1] loss: 0.008
[18,     6] loss: 0.005
[18,    11] loss: 0.003
[18,    16] loss: 0.003
[18,    21] loss: 0.004
[18,    26] loss: 0.002
[18,    31] loss: 0.002
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[19,     1] loss: 0.003
[19,     6] loss: 0.003
[19,    11] loss: 0.002
[19,    16] loss: 0.003
[19,    21] loss: 0.002
[19,    26] loss: 0.002
[19,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[20,     1] loss: 0.004
[20,     6] loss: 0.002
[20,    11] loss: 0.004
[20,    16] loss: 0.003
[20,    21] loss: 0.001
[20,    26] loss: 0.002
[20,    31] loss: 0.004
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[21,     1] loss: 0.003
[21,     6] loss: 0.002
[21,    11] loss: 0.005
[21,    16] loss: 0.002
[21,    21] loss: 0.002
[21,    26] loss: 0.003
[21,    31] loss: 0.002
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[22,     1] loss: 0.003
[22,     6] loss: 0.001
[22,    11] loss: 0.001
[22,    16] loss: 0.001
[22,    21] loss: 0.002
[22,    26] loss: 0.002
[22,    31] loss: 0.002
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[23,     1] loss: 0.002
[23,     6] loss: 0.001
[23,    11] loss: 0.001
[23,    16] loss: 0.002
[23,    21] loss: 0.001
[23,    26] loss: 0.002
[23,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[24,     1] loss: 0.003
[24,     6] loss: 0.002
[24,    11] loss: 0.002
[24,    16] loss: 0.001
[24,    21] loss: 0.002
[24,    26] loss: 0.001
[24,    31] loss: 0.002
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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: 0.002
[25,    21] loss: 0.001
[25,    26] loss: 0.001
[25,    31] loss: 0.003
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[26,     1] loss: 0.002
[26,     6] loss: 0.002
[26,    11] loss: 0.001
[26,    16] loss: 0.001
[26,    21] loss: 0.002
[26,    26] loss: 0.001
[26,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[27,     1] loss: 0.002
[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: 0.002
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[28,     1] loss: 0.001
[28,     6] loss: 0.001
[28,    11] loss: 0.002
[28,    16] loss: 0.001
[28,    21] loss: 0.001
[28,    26] loss: 0.001
[28,    31] loss: 0.000
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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: 0.002
[30,    26] loss: 0.000
[30,    31] loss: 0.014
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[31,     1] loss: 0.017
[31,     6] loss: 0.001
[31,    11] loss: 0.008
[31,    16] loss: 0.002
[31,    21] loss: 0.006
[31,    26] loss: 0.001
[31,    31] loss: 0.007
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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: 0.001
[32,    21] loss: 0.002
[32,    26] loss: 0.000
[32,    31] loss: 0.003
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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: 0.002
[33,    21] loss: 0.001
[33,    26] loss: 0.001
[33,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[34,     1] loss: 0.001
[34,     6] loss: 0.002
[34,    11] loss: 0.002
[34,    16] loss: 0.001
[34,    21] loss: 0.001
[34,    26] loss: 0.001
[34,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[35,     1] loss: 0.002
[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: 0.000
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[37,     1] loss: 0.001
[37,     6] loss: 0.002
[37,    11] loss: 0.000
[37,    16] loss: 0.001
[37,    21] loss: 0.001
[37,    26] loss: 0.001
[37,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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: 0.001
[38,    21] loss: 0.001
[38,    26] loss: 0.001
[38,    31] loss: 0.002
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[39,     1] loss: 0.001
[39,     6] loss: 0.002
[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
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[40,     1] loss: 0.000
[40,     6] loss: 0.001
[40,    11] loss: 0.002
[40,    16] loss: 0.000
[40,    21] loss: 0.000
[40,    26] loss: 0.000
[40,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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: 0.003
[41,    21] loss: 0.000
[41,    26] loss: 0.000
[41,    31] loss: 0.000
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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: 0.003
[42,    21] loss: 0.001
[42,    26] loss: 0.000
[42,    31] loss: 0.002
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[43,     1] loss: 0.001
[43,     6] loss: 0.001
[43,    11] loss: 0.000
[43,    16] loss: 0.000
[43,    21] loss: 0.001
[43,    26] loss: 0.000
[43,    31] loss: 0.004
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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: 0.001
[44,    21] loss: 0.002
[44,    26] loss: 0.001
[44,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[45,     1] loss: 0.001
[45,     6] loss: 0.001
[45,    11] loss: 0.000
[45,    16] loss: 0.000
[45,    21] loss: 0.001
[45,    26] loss: 0.001
[45,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[46,     1] loss: 0.001
[46,     6] loss: 0.002
[46,    11] loss: 0.000
[46,    16] loss: 0.001
[46,    21] loss: 0.004
[46,    26] loss: 0.623
[46,    31] loss: 0.023
[[214   0]
 [  1  12]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 99 %
[47,     1] loss: 0.016
[47,     6] loss: 0.006
[47,    11] loss: 0.010
[47,    16] loss: 0.003
[47,    21] loss: 0.005
[47,    26] loss: 0.003
[47,    31] loss: 0.002
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[48,     1] loss: 0.004
[48,     6] loss: 0.002
[48,    11] loss: 0.003
[48,    16] loss: 0.002
[48,    21] loss: 0.002
[48,    26] loss: 0.001
[48,    31] loss: 0.003
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[49,     1] loss: 0.002
[49,     6] loss: 0.001
[49,    11] loss: 0.002
[49,    16] loss: 0.001
[49,    21] loss: 0.002
[49,    26] loss: 0.002
[49,    31] loss: 0.002
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[50,     1] loss: 0.002
[50,     6] loss: 0.002
[50,    11] loss: 0.001
[50,    16] loss: 0.001
[50,    21] loss: 0.001
[50,    26] loss: 0.002
[50,    31] loss: 0.002
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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: 0.002
[51,    21] loss: 0.001
[51,    26] loss: 0.001
[51,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[52,     1] loss: 0.001
[52,     6] loss: 0.001
[52,    11] loss: 0.002
[52,    16] loss: 0.002
[52,    21] loss: 0.001
[52,    26] loss: 0.001
[52,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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: 0.001
[53,    21] loss: 0.001
[53,    26] loss: 0.001
[53,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[55,     1] loss: 0.001
[55,     6] loss: 0.002
[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
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[56,     1] loss: 0.001
[56,     6] loss: 0.001
[56,    11] loss: 0.000
[56,    16] loss: 0.001
[56,    21] loss: 0.001
[56,    26] loss: 0.001
[56,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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: 0.002
[57,    26] loss: 0.002
[57,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
[59,     1] loss: 0.002
[59,     6] loss: 0.001
[59,    11] loss: 0.000
[59,    16] loss: 0.001
[59,    21] loss: 0.002
[59,    26] loss: 0.001
[59,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
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: 0.001
[60,    26] loss: 0.001
[60,    31] loss: 0.001
[[214   0]
 [  0  13]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 100 %
Finished Training
----------------------------------------
TRAINING -- CONCEPT_NAME : concept_wall_up_down_right
735
19
CONCEPT SAMPLE COUNT concept_wall_up_down_right 19 735
527 227
[1,     1] loss: 0.396
[1,     6] loss: 0.000
[1,    11] loss: 0.000
[1,    16] loss: 0.000
[1,    21] loss: 0.102
[1,    26] loss: 0.333
[1,    31] loss: 0.062
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[2,     1] loss: 0.008
[2,     6] loss: 0.009
[2,    11] loss: 0.017
[2,    16] loss: 0.003
[2,    21] loss: 0.387
[2,    26] loss: 0.012
[2,    31] loss: 0.245
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[3,     1] loss: 0.015
[3,     6] loss: 0.013
[3,    11] loss: 0.048
[3,    16] loss: 0.012
[3,    21] loss: 0.028
[3,    26] loss: 0.005
[3,    31] loss: 0.026
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[4,     1] loss: 0.008
[4,     6] loss: 0.003
[4,    11] loss: 0.291
[4,    16] loss: 0.013
[4,    21] loss: 0.337
[4,    26] loss: 0.504
[4,    31] loss: 0.098
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[5,     1] loss: 0.018
[5,     6] loss: 0.047
[5,    11] loss: 0.304
[5,    16] loss: 0.016
[5,    21] loss: 0.025
[5,    26] loss: 0.026
[5,    31] loss: 0.288
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[6,     1] loss: 0.043
[6,     6] loss: 0.106
[6,    11] loss: 0.243
[6,    16] loss: 0.024
[6,    21] loss: 0.007
[6,    26] loss: 0.025
[6,    31] loss: 0.026
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[7,     1] loss: 0.292
[7,     6] loss: 0.009
[7,    11] loss: 0.004
[7,    16] loss: 0.371
[7,    21] loss: 0.053
[7,    26] loss: 0.010
[7,    31] loss: 0.047
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[8,     1] loss: 0.040
[8,     6] loss: 0.016
[8,    11] loss: 0.025
[8,    16] loss: 0.007
[8,    21] loss: 0.350
[8,    26] loss: 0.263
[8,    31] loss: 0.057
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[9,     1] loss: 0.029
[9,     6] loss: 0.008
[9,    11] loss: 0.051
[9,    16] loss: 0.029
[9,    21] loss: 0.307
[9,    26] loss: 0.020
[9,    31] loss: 0.028
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[10,     1] loss: 0.052
[10,     6] loss: 0.021
[10,    11] loss: 0.019
[10,    16] loss: 0.023
[10,    21] loss: 0.039
[10,    26] loss: 0.026
[10,    31] loss: 0.008
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[11,     1] loss: 0.033
[11,     6] loss: 0.009
[11,    11] loss: 0.286
[11,    16] loss: 0.245
[11,    21] loss: 0.020
[11,    26] loss: 0.023
[11,    31] loss: 0.008
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[12,     1] loss: 0.032
[12,     6] loss: 0.017
[12,    11] loss: 0.034
[12,    16] loss: 0.009
[12,    21] loss: 0.014
[12,    26] loss: 0.235
[12,    31] loss: 0.019
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[13,     1] loss: 0.021
[13,     6] loss: 0.039
[13,    11] loss: 0.038
[13,    16] loss: 0.259
[13,    21] loss: 0.017
[13,    26] loss: 0.318
[13,    31] loss: 0.308
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[14,     1] loss: 0.025
[14,     6] loss: 0.023
[14,    11] loss: 0.032
[14,    16] loss: 0.025
[14,    21] loss: 0.013
[14,    26] loss: 0.032
[14,    31] loss: 0.029
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[15,     1] loss: 0.243
[15,     6] loss: 0.049
[15,    11] loss: 0.028
[15,    16] loss: 0.020
[15,    21] loss: 0.008
[15,    26] loss: 0.025
[15,    31] loss: 0.023
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[16,     1] loss: 0.023
[16,     6] loss: 0.276
[16,    11] loss: 0.056
[16,    16] loss: 0.012
[16,    21] loss: 0.041
[16,    26] loss: 0.236
[16,    31] loss: 0.016
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[17,     1] loss: 0.009
[17,     6] loss: 0.034
[17,    11] loss: 0.253
[17,    16] loss: 0.021
[17,    21] loss: 0.018
[17,    26] loss: 0.015
[17,    31] loss: 0.315
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[18,     1] loss: 0.023
[18,     6] loss: 0.022
[18,    11] loss: 0.304
[18,    16] loss: 0.067
[18,    21] loss: 0.014
[18,    26] loss: 0.251
[18,    31] loss: 0.024
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[19,     1] loss: 0.287
[19,     6] loss: 0.040
[19,    11] loss: 0.017
[19,    16] loss: 0.616
[19,    21] loss: 0.019
[19,    26] loss: 0.306
[19,    31] loss: 0.009
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[20,     1] loss: 0.018
[20,     6] loss: 0.310
[20,    11] loss: 0.234
[20,    16] loss: 0.035
[20,    21] loss: 0.039
[20,    26] loss: 0.017
[20,    31] loss: 0.020
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[21,     1] loss: 0.011
[21,     6] loss: 0.025
[21,    11] loss: 0.235
[21,    16] loss: 0.237
[21,    21] loss: 0.024
[21,    26] loss: 0.009
[21,    31] loss: 0.005
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[22,     1] loss: 0.004
[22,     6] loss: 0.021
[22,    11] loss: 0.522
[22,    16] loss: 0.028
[22,    21] loss: 0.015
[22,    26] loss: 0.246
[22,    31] loss: 0.014
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[23,     1] loss: 0.009
[23,     6] loss: 0.026
[23,    11] loss: 0.019
[23,    16] loss: 0.008
[23,    21] loss: 0.255
[23,    26] loss: 0.036
[23,    31] loss: 0.019
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[24,     1] loss: 0.261
[24,     6] loss: 0.282
[24,    11] loss: 0.055
[24,    16] loss: 0.240
[24,    21] loss: 0.016
[24,    26] loss: 0.007
[24,    31] loss: 0.005
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[25,     1] loss: 0.013
[25,     6] loss: 0.012
[25,    11] loss: 0.040
[25,    16] loss: 0.022
[25,    21] loss: 0.021
[25,    26] loss: 0.014
[25,    31] loss: 0.017
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[26,     1] loss: 0.020
[26,     6] loss: 0.020
[26,    11] loss: 0.009
[26,    16] loss: 0.064
[26,    21] loss: 0.028
[26,    26] loss: 0.275
[26,    31] loss: 0.012
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[27,     1] loss: 0.020
[27,     6] loss: 0.016
[27,    11] loss: 0.516
[27,    16] loss: 0.251
[27,    21] loss: 0.031
[27,    26] loss: 0.011
[27,    31] loss: 0.276
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[28,     1] loss: 0.016
[28,     6] loss: 0.018
[28,    11] loss: 0.008
[28,    16] loss: 0.020
[28,    21] loss: 0.030
[28,    26] loss: 0.027
[28,    31] loss: 0.017
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[29,     1] loss: 0.037
[29,     6] loss: 0.290
[29,    11] loss: 0.037
[29,    16] loss: 0.022
[29,    21] loss: 0.016
[29,    26] loss: 0.008
[29,    31] loss: 0.035
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[30,     1] loss: 0.047
[30,     6] loss: 0.024
[30,    11] loss: 0.299
[30,    16] loss: 0.017
[30,    21] loss: 0.008
[30,    26] loss: 0.253
[30,    31] loss: 0.551
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[31,     1] loss: 0.037
[31,     6] loss: 0.012
[31,    11] loss: 0.016
[31,    16] loss: 0.309
[31,    21] loss: 0.020
[31,    26] loss: 0.261
[31,    31] loss: 0.480
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[32,     1] loss: 0.051
[32,     6] loss: 0.015
[32,    11] loss: 0.013
[32,    16] loss: 0.030
[32,    21] loss: 0.063
[32,    26] loss: 0.026
[32,    31] loss: 0.010
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[33,     1] loss: 0.018
[33,     6] loss: 0.015
[33,    11] loss: 0.240
[33,    16] loss: 0.017
[33,    21] loss: 0.026
[33,    26] loss: 0.011
[33,    31] loss: 0.260
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[34,     1] loss: 0.020
[34,     6] loss: 0.009
[34,    11] loss: 0.005
[34,    16] loss: 0.019
[34,    21] loss: 0.050
[34,    26] loss: 0.015
[34,    31] loss: 0.025
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[35,     1] loss: 0.235
[35,     6] loss: 0.025
[35,    11] loss: 0.022
[35,    16] loss: 0.010
[35,    21] loss: 0.261
[35,    26] loss: 0.023
[35,    31] loss: 0.043
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[36,     1] loss: 0.020
[36,     6] loss: 0.014
[36,    11] loss: 0.013
[36,    16] loss: 0.287
[36,    21] loss: 0.020
[36,    26] loss: 0.239
[36,    31] loss: 0.258
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[37,     1] loss: 0.021
[37,     6] loss: 0.009
[37,    11] loss: 0.246
[37,    16] loss: 0.016
[37,    21] loss: 0.025
[37,    26] loss: 0.024
[37,    31] loss: 0.017
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[38,     1] loss: 0.266
[38,     6] loss: 0.019
[38,    11] loss: 0.009
[38,    16] loss: 0.006
[38,    21] loss: 0.304
[38,    26] loss: 0.030
[38,    31] loss: 0.033
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[39,     1] loss: 0.232
[39,     6] loss: 0.044
[39,    11] loss: 0.022
[39,    16] loss: 0.010
[39,    21] loss: 0.006
[39,    26] loss: 0.587
[39,    31] loss: 0.050
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[40,     1] loss: 0.258
[40,     6] loss: 0.253
[40,    11] loss: 0.020
[40,    16] loss: 0.016
[40,    21] loss: 0.014
[40,    26] loss: 0.007
[40,    31] loss: 0.031
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[41,     1] loss: 0.017
[41,     6] loss: 0.016
[41,    11] loss: 0.028
[41,    16] loss: 0.017
[41,    21] loss: 0.255
[41,    26] loss: 0.015
[41,    31] loss: 0.279
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[42,     1] loss: 0.251
[42,     6] loss: 0.246
[42,    11] loss: 0.041
[42,    16] loss: 0.026
[42,    21] loss: 0.016
[42,    26] loss: 0.009
[42,    31] loss: 0.011
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[43,     1] loss: 0.018
[43,     6] loss: 0.027
[43,    11] loss: 0.027
[43,    16] loss: 0.016
[43,    21] loss: 0.015
[43,    26] loss: 0.043
[43,    31] loss: 0.026
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[44,     1] loss: 0.015
[44,     6] loss: 0.015
[44,    11] loss: 0.239
[44,    16] loss: 0.040
[44,    21] loss: 0.019
[44,    26] loss: 0.583
[44,    31] loss: 0.015
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[45,     1] loss: 0.010
[45,     6] loss: 0.012
[45,    11] loss: 0.029
[45,    16] loss: 0.027
[45,    21] loss: 0.024
[45,    26] loss: 0.011
[45,    31] loss: 0.027
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[46,     1] loss: 0.016
[46,     6] loss: 0.016
[46,    11] loss: 0.030
[46,    16] loss: 0.012
[46,    21] loss: 0.023
[46,    26] loss: 0.245
[46,    31] loss: 0.017
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[47,     1] loss: 0.291
[47,     6] loss: 0.011
[47,    11] loss: 0.255
[47,    16] loss: 0.028
[47,    21] loss: 0.031
[47,    26] loss: 0.018
[47,    31] loss: 0.015
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[48,     1] loss: 0.011
[48,     6] loss: 0.006
[48,    11] loss: 0.004
[48,    16] loss: 0.003
[48,    21] loss: 0.051
[48,    26] loss: 0.640
[48,    31] loss: 0.027
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[49,     1] loss: 0.016
[49,     6] loss: 0.304
[49,    11] loss: 0.016
[49,    16] loss: 0.008
[49,    21] loss: 0.243
[49,    26] loss: 0.035
[49,    31] loss: 0.026
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[50,     1] loss: 0.276
[50,     6] loss: 0.281
[50,    11] loss: 0.292
[50,    16] loss: 0.251
[50,    21] loss: 0.044
[50,    26] loss: 0.016
[50,    31] loss: 0.014
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[51,     1] loss: 0.010
[51,     6] loss: 0.022
[51,    11] loss: 0.011
[51,    16] loss: 0.006
[51,    21] loss: 0.305
[51,    26] loss: 0.028
[51,    31] loss: 0.037
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[52,     1] loss: 0.033
[52,     6] loss: 0.013
[52,    11] loss: 0.255
[52,    16] loss: 0.257
[52,    21] loss: 0.027
[52,    26] loss: 0.033
[52,    31] loss: 0.021
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[53,     1] loss: 0.544
[53,     6] loss: 0.040
[53,    11] loss: 0.043
[53,    16] loss: 0.025
[53,    21] loss: 0.019
[53,    26] loss: 0.010
[53,    31] loss: 0.013
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[54,     1] loss: 0.264
[54,     6] loss: 0.014
[54,    11] loss: 0.246
[54,    16] loss: 0.024
[54,    21] loss: 0.049
[54,    26] loss: 0.017
[54,    31] loss: 0.009
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[55,     1] loss: 0.015
[55,     6] loss: 0.278
[55,    11] loss: 0.012
[55,    16] loss: 0.007
[55,    21] loss: 0.265
[55,    26] loss: 0.258
[55,    31] loss: 0.051
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[56,     1] loss: 0.024
[56,     6] loss: 0.029
[56,    11] loss: 0.012
[56,    16] loss: 0.031
[56,    21] loss: 0.281
[56,    26] loss: 0.287
[56,    31] loss: 0.029
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[57,     1] loss: 0.025
[57,     6] loss: 0.024
[57,    11] loss: 0.018
[57,    16] loss: 0.275
[57,    21] loss: 0.029
[57,    26] loss: 0.550
[57,    31] loss: 0.028
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[58,     1] loss: 0.016
[58,     6] loss: 0.022
[58,    11] loss: 0.295
[58,    16] loss: 0.011
[58,    21] loss: 0.021
[58,    26] loss: 0.240
[58,    31] loss: 0.264
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[59,     1] loss: 0.262
[59,     6] loss: 0.029
[59,    11] loss: 0.013
[59,    16] loss: 0.024
[59,    21] loss: 0.291
[59,    26] loss: 0.270
[59,    31] loss: 0.282
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
[60,     1] loss: 0.026
[60,     6] loss: 0.012
[60,    11] loss: 0.027
[60,    16] loss: 0.493
[60,    21] loss: 0.043
[60,    26] loss: 0.033
[60,    31] loss: 0.014
[[218   0]
 [  9   0]]
DATESET -- 
Train  527 Test  227
In Train : 
Accuracy of the network on test images: 96 %
Finished Training
{'concept_blank_cell_below': 96.47577092511013, 'concept_blank_cell_on_left': 98.6784140969163, 'concept_box_below': 98.23788546255507, 'concept_box_on_left': 98.23788546255507, 'concept_box_on_right': 96.91629955947137, 'concept_box_on_top': 97.3568281938326, 'concept_no_pink_cell_below_m': 99.55947136563877, 'concept_no_pink_cell_on_top_m': 100.0, 'concept_no_wall_below_m': 100.0, 'concept_no_wall_on_left_m': 100.0, 'concept_no_wall_on_right_m': 100.0, 'concept_no_wall_on_top_m': 100.0, 'concept_on_pink_cell': 100.0, 'concept_pink_cell_below': 100.0, 'concept_pink_cell_on_left': 100.0, 'concept_pink_cell_on_right': 99.11894273127753, 'concept_pink_cell_on_top': 99.55947136563877, 'concept_target_on_right': 100.0, 'concept_target_on_top': 99.55947136563877, 'concept_wall_above_box': 99.11894273127753, 'concept_wall_below': 100.0, 'concept_wall_below_box': 100.0, 'concept_wall_down_left': 100.0, 'concept_wall_down_right': 100.0, 'concept_wall_on_left': 100.0, 'concept_wall_on_left_of_box': 100.0, 'concept_wall_on_right': 100.0, 'concept_wall_on_right_of_box': 100.0, 'concept_wall_on_top': 100.0, 'concept_wall_top_left': 100.0, 'concept_wall_top_right': 100.0, 'concept_wall_up_down_right': 96.0352422907489}
{'concept_blank_cell_below': array([[ 72,   8],
       [  0, 147]]), 'concept_blank_cell_on_left': array([[ 87,   3],
       [  0, 137]]), 'concept_box_below': array([[223,   0],
       [  4,   0]]), 'concept_box_on_left': array([[223,   0],
       [  4,   0]]), 'concept_box_on_right': array([[220,   0],
       [  7,   0]]), 'concept_box_on_top': array([[221,   0],
       [  6,   0]]), 'concept_no_pink_cell_below_m': array([[ 58,   0],
       [  1, 168]]), 'concept_no_pink_cell_on_top_m': array([[ 64,   0],
       [  0, 163]]), 'concept_no_wall_below_m': array([[ 92,   0],
       [  0, 135]]), 'concept_no_wall_on_left_m': array([[123,   0],
       [  0, 104]]), 'concept_no_wall_on_right_m': array([[132,   0],
       [  0,  95]]), 'concept_no_wall_on_top_m': array([[ 90,   0],
       [  0, 137]]), 'concept_on_pink_cell': array([[197,   0],
       [  0,  30]]), 'concept_pink_cell_below': array([[203,   0],
       [  0,  24]]), 'concept_pink_cell_on_left': array([[207,   0],
       [  0,  20]]), 'concept_pink_cell_on_right': array([[213,   2],
       [  0,  12]]), 'concept_pink_cell_on_top': array([[204,   1],
       [  0,  22]]), 'concept_target_on_right': array([[220,   0],
       [  0,   7]]), 'concept_target_on_top': array([[219,   1],
       [  0,   7]]), 'concept_wall_above_box': array([[207,   0],
       [  2,  18]]), 'concept_wall_below': array([[174,   0],
       [  0,  53]]), 'concept_wall_below_box': array([[185,   0],
       [  0,  42]]), 'concept_wall_down_left': array([[218,   0],
       [  0,   9]]), 'concept_wall_down_right': array([[210,   0],
       [  0,  17]]), 'concept_wall_on_left': array([[153,   0],
       [  0,  74]]), 'concept_wall_on_left_of_box': array([[166,   0],
       [  0,  61]]), 'concept_wall_on_right': array([[166,   0],
       [  0,  61]]), 'concept_wall_on_right_of_box': array([[174,   0],
       [  0,  53]]), 'concept_wall_on_top': array([[189,   0],
       [  0,  38]]), 'concept_wall_top_left': array([[220,   0],
       [  0,   7]]), 'concept_wall_top_right': array([[214,   0],
       [  0,  13]]), 'concept_wall_up_down_right': array([[218,   0],
       [  9,   0]])}
