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net2.log
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net2.log
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error_data: files_individual/files_2_4_6_8/acc_1_8_5.txt
error_data: files_individual/files_2_4_6_8/acc_1_8_157.txt
error_data: files_individual/files_3_5_7_9/acc_1_3_5.txt
error_data: files_individual/files_3_5_7_9/acc_1_9_189.txt
relative_path classID
0 [files_individual/files_2_4_6_8/acc_1_2_77.txt... 2
1 [files_individual/files_2_4_6_8/acc_1_8_52.txt... 8
2 [files_individual/files_2_4_6_8/acc_1_8_67.txt... 8
3 [files_individual/files_2_4_6_8/acc_1_2_332.tx... 2
4 [files_individual/files_2_4_6_8/acc_1_4_183.tx... 4
cuda:0
[1, 1] loss: 0.232
[1, 51] loss: 11.310
[1, 101] loss: 10.867
[1, 151] loss: 10.457
[1, 201] loss: 10.168
[1, 251] loss: 10.002
Epoch: 0, Loss: 0.24440, Accuracy: 0.26
Accuracy: 0.31, Total items: 576
[2, 1] loss: 0.184
[2, 51] loss: 10.515
[2, 101] loss: 10.242
[2, 151] loss: 9.921
[2, 201] loss: 9.456
[2, 251] loss: 9.242
Epoch: 1, Loss: 0.24640, Accuracy: 0.30
Accuracy: 0.30, Total items: 576
[3, 1] loss: 0.238
[3, 51] loss: 9.525
[3, 101] loss: 8.774
[3, 151] loss: 8.816
[3, 201] loss: 9.329
[3, 251] loss: 8.583
Epoch: 2, Loss: 0.22662, Accuracy: 0.36
Accuracy: 0.38, Total items: 576
[4, 1] loss: 0.167
[4, 51] loss: 8.823
[4, 101] loss: 8.087
[4, 151] loss: 8.397
[4, 201] loss: 8.959
[4, 251] loss: 8.375
Epoch: 3, Loss: 0.22847, Accuracy: 0.40
Accuracy: 0.42, Total items: 576
[5, 1] loss: 0.176
[5, 51] loss: 8.313
[5, 101] loss: 7.697
[5, 151] loss: 8.073
[5, 201] loss: 8.394
[5, 251] loss: 7.777
Epoch: 4, Loss: 0.22649, Accuracy: 0.43
Accuracy: 0.46, Total items: 576
[6, 1] loss: 0.121
[6, 51] loss: 8.190
[6, 101] loss: 7.787
[6, 151] loss: 7.354
[6, 201] loss: 7.338
[6, 251] loss: 7.823
Epoch: 5, Loss: 0.19785, Accuracy: 0.47
Accuracy: 0.51, Total items: 576
[7, 1] loss: 0.144
[7, 51] loss: 7.220
[7, 101] loss: 6.641
[7, 151] loss: 6.816
[7, 201] loss: 7.097
[7, 251] loss: 7.164
Epoch: 6, Loss: 0.18335, Accuracy: 0.51
Accuracy: 0.46, Total items: 576
[8, 1] loss: 0.139
[8, 51] loss: 6.474
[8, 101] loss: 6.674
[8, 151] loss: 6.341
[8, 201] loss: 6.649
[8, 251] loss: 6.160
Epoch: 7, Loss: 0.16667, Accuracy: 0.54
Accuracy: 0.51, Total items: 576
[9, 1] loss: 0.184
[9, 51] loss: 5.778
[9, 101] loss: 5.942
[9, 151] loss: 5.723
[9, 201] loss: 6.197
[9, 251] loss: 6.105
Epoch: 8, Loss: 0.15741, Accuracy: 0.58
Accuracy: 0.56, Total items: 576
[10, 1] loss: 0.080
[10, 51] loss: 5.221
[10, 101] loss: 5.272
[10, 151] loss: 5.534
[10, 201] loss: 5.505
[10, 251] loss: 5.374
Epoch: 9, Loss: 0.14669, Accuracy: 0.62
Accuracy: 0.62, Total items: 576
[11, 1] loss: 0.068
[11, 51] loss: 4.985
[11, 101] loss: 4.824
[11, 151] loss: 4.667
[11, 201] loss: 4.977
[11, 251] loss: 4.737
Epoch: 10, Loss: 0.13495, Accuracy: 0.67
Accuracy: 0.54, Total items: 576
[12, 1] loss: 0.051
[12, 51] loss: 4.806
[12, 101] loss: 3.753
[12, 151] loss: 4.331
[12, 201] loss: 4.246
[12, 251] loss: 3.995
Epoch: 11, Loss: 0.11288, Accuracy: 0.69
Accuracy: 0.63, Total items: 576
[13, 1] loss: 0.018
[13, 51] loss: 3.677
[13, 101] loss: 3.782
[13, 151] loss: 3.564
[13, 201] loss: 3.937
[13, 251] loss: 3.607
Epoch: 12, Loss: 0.07821, Accuracy: 0.75
Accuracy: 0.67, Total items: 576
[14, 1] loss: 0.083
[14, 51] loss: 2.753
[14, 101] loss: 3.059
[14, 151] loss: 2.773
[14, 201] loss: 3.310
[14, 251] loss: 3.308
Epoch: 13, Loss: 0.08804, Accuracy: 0.78
Accuracy: 0.63, Total items: 576
[15, 1] loss: 0.026
[15, 51] loss: 2.351
[15, 101] loss: 2.203
[15, 151] loss: 2.783
[15, 201] loss: 2.484
[15, 251] loss: 2.812
Epoch: 14, Loss: 0.06560, Accuracy: 0.83
Accuracy: 0.65, Total items: 576
[16, 1] loss: 0.051
[16, 51] loss: 1.975
[16, 101] loss: 1.822
[16, 151] loss: 1.370
[16, 201] loss: 1.638
[16, 251] loss: 1.780
Epoch: 15, Loss: 0.05730, Accuracy: 0.88
Accuracy: 0.63, Total items: 576
[17, 1] loss: 0.019
[17, 51] loss: 1.268
[17, 101] loss: 1.031
[17, 151] loss: 1.162
[17, 201] loss: 1.110
[17, 251] loss: 1.692
Epoch: 16, Loss: 0.02688, Accuracy: 0.91
Accuracy: 0.66, Total items: 576
[18, 1] loss: 0.006
[18, 51] loss: 0.654
[18, 101] loss: 0.525
[18, 151] loss: 0.567
[18, 201] loss: 0.690
[18, 251] loss: 0.472
Epoch: 17, Loss: 0.01929, Accuracy: 0.96
Accuracy: 0.66, Total items: 576
[19, 1] loss: 0.002
[19, 51] loss: 0.278
[19, 101] loss: 0.341
[19, 151] loss: 0.227
[19, 201] loss: 0.522
[19, 251] loss: 0.263
Epoch: 18, Loss: 0.00549, Accuracy: 0.98
Accuracy: 0.69, Total items: 576
[20, 1] loss: 0.018
[20, 51] loss: 0.205
[20, 101] loss: 0.164
[20, 151] loss: 0.224
[20, 201] loss: 0.150
[20, 251] loss: 0.097
Epoch: 19, Loss: 0.00402, Accuracy: 0.99
Accuracy: 0.66, Total items: 576
Finished Training
Accuracy: 0.66, Total items: 576
[[88. 1. 2. 3. 5. 5. 0. 1. 0. 3.]
[10. 62. 8. 1. 3. 0. 0. 0. 0. 9.]
[ 6. 3. 77. 2. 5. 5. 0. 0. 0. 3.]
[ 8. 1. 11. 15. 7. 3. 0. 1. 0. 3.]
[ 1. 4. 6. 2. 23. 0. 0. 0. 1. 1.]
[ 6. 1. 7. 5. 4. 16. 1. 5. 0. 0.]
[ 0. 0. 0. 0. 0. 1. 33. 5. 0. 1.]
[ 0. 0. 1. 1. 0. 8. 5. 18. 0. 0.]
[ 0. 1. 3. 0. 1. 0. 0. 0. 35. 0.]
[ 3. 4. 2. 2. 1. 0. 0. 0. 2. 15.]]
Below is ResNet
[1, 1] loss: 0.534
[1, 51] loss: 22.517
[1, 101] loss: 14.239
[1, 151] loss: 11.298
[1, 201] loss: 10.043
[1, 251] loss: 9.296
Epoch: 0, Loss: 0.23804, Accuracy: 0.32
Accuracy: 0.37, Total items: 576
[2, 1] loss: 0.149
[2, 51] loss: 13.581
[2, 101] loss: 11.678
[2, 151] loss: 10.672
[2, 201] loss: 10.153
[2, 251] loss: 10.386
Epoch: 1, Loss: 0.27650, Accuracy: 0.22
Accuracy: 0.25, Total items: 576
[3, 1] loss: 0.178
[3, 51] loss: 11.010
[3, 101] loss: 10.474
[3, 151] loss: 10.219
[3, 201] loss: 10.581
[3, 251] loss: 10.063
Epoch: 2, Loss: 0.28312, Accuracy: 0.24
Accuracy: 0.29, Total items: 576
[4, 1] loss: 0.211
[4, 51] loss: 10.573
[4, 101] loss: 10.495
[4, 151] loss: 9.974
[4, 201] loss: 10.853
[4, 251] loss: 11.475
Epoch: 3, Loss: 0.29530, Accuracy: 0.23
Accuracy: 0.19, Total items: 576
[5, 1] loss: 0.257
[5, 51] loss: 11.103
[5, 101] loss: 10.915
[5, 151] loss: 10.557
[5, 201] loss: 10.373
[5, 251] loss: 10.990
Epoch: 4, Loss: 0.26704, Accuracy: 0.22
Accuracy: 0.28, Total items: 576
[6, 1] loss: 0.196
[6, 51] loss: 10.989
[6, 101] loss: 10.345
[6, 151] loss: 10.245
[6, 201] loss: 10.117
[6, 251] loss: 10.317
Epoch: 5, Loss: 0.26708, Accuracy: 0.25
Accuracy: 0.23, Total items: 576
[7, 1] loss: 0.195
[7, 51] loss: 11.481
[7, 101] loss: 11.274
[7, 151] loss: 11.201
[7, 201] loss: 10.639
[7, 251] loss: 10.537
Epoch: 6, Loss: 0.29729, Accuracy: 0.20
Accuracy: 0.19, Total items: 576
[8, 1] loss: 0.230
[8, 51] loss: 10.717
[8, 101] loss: 10.332
[8, 151] loss: 9.965
[8, 201] loss: 10.403
[8, 251] loss: 10.394
Epoch: 7, Loss: 0.27112, Accuracy: 0.25
Accuracy: 0.28, Total items: 576
[9, 1] loss: 0.235
[9, 51] loss: 10.102
[9, 101] loss: 9.846
[9, 151] loss: 10.038
[9, 201] loss: 9.878
[9, 251] loss: 10.072
Epoch: 8, Loss: 0.25767, Accuracy: 0.28
Accuracy: 0.29, Total items: 576
[10, 1] loss: 0.203
[10, 51] loss: 9.932
[10, 101] loss: 9.780
[10, 151] loss: 9.461
[10, 201] loss: 9.321
[10, 251] loss: 9.505
Epoch: 9, Loss: 0.25955, Accuracy: 0.32
Accuracy: 0.37, Total items: 576
[11, 1] loss: 0.173
[11, 51] loss: 8.988
[11, 101] loss: 9.622
[11, 151] loss: 9.231
[11, 201] loss: 9.420
[11, 251] loss: 8.599
Epoch: 10, Loss: 0.21542, Accuracy: 0.37
Accuracy: 0.36, Total items: 576
[12, 1] loss: 0.103
[12, 51] loss: 8.483
[12, 101] loss: 8.207
[12, 151] loss: 8.501
[12, 201] loss: 8.290
[12, 251] loss: 8.018
Epoch: 11, Loss: 0.21042, Accuracy: 0.42
Accuracy: 0.42, Total items: 576
[13, 1] loss: 0.131
[13, 51] loss: 7.655
[13, 101] loss: 7.451
[13, 151] loss: 7.660
[13, 201] loss: 7.437
[13, 251] loss: 7.821
Epoch: 12, Loss: 0.19391, Accuracy: 0.47
Accuracy: 0.48, Total items: 576
[14, 1] loss: 0.156
[14, 51] loss: 6.602
[14, 101] loss: 7.142
[14, 151] loss: 7.166
[14, 201] loss: 6.504
[14, 251] loss: 7.185
Epoch: 13, Loss: 0.17699, Accuracy: 0.52
Accuracy: 0.49, Total items: 576
[15, 1] loss: 0.155
[15, 51] loss: 6.170
[15, 101] loss: 6.755
[15, 151] loss: 6.223
[15, 201] loss: 5.936
[15, 251] loss: 6.426
Epoch: 14, Loss: 0.16220, Accuracy: 0.56
Accuracy: 0.55, Total items: 576
[16, 1] loss: 0.066
[16, 51] loss: 6.329
[16, 101] loss: 5.940
[16, 151] loss: 6.330
[16, 201] loss: 6.004
[16, 251] loss: 5.873
Epoch: 15, Loss: 0.15014, Accuracy: 0.58
Accuracy: 0.57, Total items: 576
[17, 1] loss: 0.094
[17, 51] loss: 5.785
[17, 101] loss: 4.770
[17, 151] loss: 4.992
[17, 201] loss: 5.709
[17, 251] loss: 5.942
Epoch: 16, Loss: 0.14366, Accuracy: 0.62
Accuracy: 0.57, Total items: 576
[18, 1] loss: 0.069
[18, 51] loss: 5.094
[18, 101] loss: 5.172
[18, 151] loss: 5.168
[18, 201] loss: 5.093
[18, 251] loss: 4.977
Epoch: 17, Loss: 0.12591, Accuracy: 0.65
Accuracy: 0.57, Total items: 576
[19, 1] loss: 0.057
[19, 51] loss: 4.438
[19, 101] loss: 4.954
[19, 151] loss: 4.589
[19, 201] loss: 4.851
[19, 251] loss: 5.036
Epoch: 18, Loss: 0.12627, Accuracy: 0.67
Accuracy: 0.58, Total items: 576
[20, 1] loss: 0.091
[20, 51] loss: 5.001
[20, 101] loss: 4.374
[20, 151] loss: 4.395
[20, 201] loss: 4.379
[20, 251] loss: 4.281
Epoch: 19, Loss: 0.10180, Accuracy: 0.70
Accuracy: 0.59, Total items: 576
Finished Training
Accuracy: 0.59, Total items: 576
[[67. 9. 8. 3. 5. 7. 0. 4. 0. 5.]
[ 4. 67. 13. 0. 2. 0. 0. 1. 2. 4.]
[ 5. 10. 76. 2. 6. 0. 0. 1. 1. 0.]
[20. 6. 6. 4. 5. 3. 1. 4. 0. 0.]
[ 2. 5. 9. 2. 18. 1. 0. 0. 1. 0.]
[ 3. 2. 5. 3. 3. 15. 2. 9. 1. 2.]
[ 0. 0. 2. 0. 0. 0. 31. 7. 0. 0.]
[ 3. 0. 0. 0. 1. 2. 5. 22. 0. 0.]
[ 0. 2. 2. 0. 1. 0. 1. 0. 34. 0.]
[ 3. 13. 2. 0. 0. 0. 1. 2. 3. 5.]]