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  1. DenseNet169/BINARY_DenseNet169_Round1/.ipynb_checkpoints/confusion_matrix-checkpoint.png +0 -0
  2. DenseNet169/BINARY_DenseNet169_Round1/BINARY_DenseNet169_Round1.keras +2 -2
  3. DenseNet169/BINARY_DenseNet169_Round1/classification_metrics.txt +9 -9
  4. DenseNet169/BINARY_DenseNet169_Round1/confusion_matrix.png +0 -0
  5. DenseNet169/BINARY_DenseNet169_Round1/roc_curve.png +0 -0
  6. DenseNet169/BINARY_DenseNet169_Round1/testing_metrics.txt +2 -2
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  8. DenseNet169/BINARY_DenseNet169_Round1/training_loss.png +0 -0
  9. DenseNet169/BINARY_DenseNet169_Round1/training_validation_metrics.txt +117 -117
  10. DenseNet169/BINARY_DenseNet169_Round2/BINARY_DenseNet169_Round2.keras +2 -2
  11. DenseNet169/BINARY_DenseNet169_Round2/classification_metrics.txt +9 -9
  12. DenseNet169/BINARY_DenseNet169_Round2/confusion_matrix.png +0 -0
  13. DenseNet169/BINARY_DenseNet169_Round2/roc_curve.png +0 -0
  14. DenseNet169/BINARY_DenseNet169_Round2/testing_metrics.txt +2 -2
  15. DenseNet169/BINARY_DenseNet169_Round2/training_accuracy.png +0 -0
  16. DenseNet169/BINARY_DenseNet169_Round2/training_loss.png +0 -0
  17. DenseNet169/BINARY_DenseNet169_Round2/training_validation_metrics.txt +113 -113
  18. DenseNet169/BINARY_DenseNet169_Round3/BINARY_DenseNet169_Round3.keras +2 -2
  19. DenseNet169/BINARY_DenseNet169_Round3/classification_metrics.txt +9 -9
  20. DenseNet169/BINARY_DenseNet169_Round3/confusion_matrix.png +0 -0
  21. DenseNet169/BINARY_DenseNet169_Round3/roc_curve.png +0 -0
  22. DenseNet169/BINARY_DenseNet169_Round3/testing_metrics.txt +2 -2
  23. DenseNet169/BINARY_DenseNet169_Round3/training_accuracy.png +0 -0
  24. DenseNet169/BINARY_DenseNet169_Round3/training_loss.png +0 -0
  25. DenseNet169/BINARY_DenseNet169_Round3/training_validation_metrics.txt +111 -111
  26. DenseNet169/BINARY_DenseNet169_Round4/BINARY_DenseNet169_Round4.keras +2 -2
  27. DenseNet169/BINARY_DenseNet169_Round4/classification_metrics.txt +1 -1
  28. DenseNet169/BINARY_DenseNet169_Round4/confusion_matrix.png +0 -0
  29. DenseNet169/BINARY_DenseNet169_Round4/roc_curve.png +0 -0
  30. DenseNet169/BINARY_DenseNet169_Round4/testing_metrics.txt +1 -1
  31. DenseNet169/BINARY_DenseNet169_Round4/training_accuracy.png +0 -0
  32. DenseNet169/BINARY_DenseNet169_Round4/training_loss.png +0 -0
  33. DenseNet169/BINARY_DenseNet169_Round4/training_validation_metrics.txt +115 -115
  34. DenseNet169/BINARY_DenseNet169_Round5/BINARY_DenseNet169_Round5.keras +2 -2
  35. DenseNet169/BINARY_DenseNet169_Round5/classification_metrics.txt +9 -9
  36. DenseNet169/BINARY_DenseNet169_Round5/confusion_matrix.png +0 -0
  37. DenseNet169/BINARY_DenseNet169_Round5/roc_curve.png +0 -0
  38. DenseNet169/BINARY_DenseNet169_Round5/testing_metrics.txt +2 -2
  39. DenseNet169/BINARY_DenseNet169_Round5/training_accuracy.png +0 -0
  40. DenseNet169/BINARY_DenseNet169_Round5/training_loss.png +0 -0
  41. DenseNet169/BINARY_DenseNet169_Round5/training_validation_metrics.txt +115 -115
  42. EfficientNetB0/BINARY_EfficientNetB0_Round1/BINARY_EfficientNetB0_Round1.keras +2 -2
  43. EfficientNetB0/BINARY_EfficientNetB0_Round1/classification_metrics.txt +9 -9
  44. EfficientNetB0/BINARY_EfficientNetB0_Round1/confusion_matrix.png +0 -0
  45. EfficientNetB0/BINARY_EfficientNetB0_Round1/roc_curve.png +0 -0
  46. EfficientNetB0/BINARY_EfficientNetB0_Round1/testing_metrics.txt +2 -2
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  48. EfficientNetB0/BINARY_EfficientNetB0_Round1/training_loss.png +0 -0
  49. EfficientNetB0/BINARY_EfficientNetB0_Round1/training_validation_metrics.txt +114 -114
  50. EfficientNetB0/BINARY_EfficientNetB0_Round2/BINARY_EfficientNetB0_Round2.keras +2 -2
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- Precision: 1.0000
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  Sensitivity: 1.0000
4
- Specificity: 1.0000
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- F1-Score: 1.0000
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  AUC: 1.0000
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- Balanced Accuracy: 1.0000
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- Jaccard Index: 1.0000
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- Log Loss: 0.0001
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  Recall: 1.0000
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  AUC: 1.0000
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+ Balanced Accuracy: 0.9998
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+ Jaccard Index: 0.9996
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DenseNet169/BINARY_DenseNet169_Round1/training_validation_metrics.txt CHANGED
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9773
5
- Validation Accuracy: 0.9976
6
- Training Loss: 0.0732
7
- Validation Loss: 0.0096
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9982
11
- Validation Accuracy: 0.9994
12
- Training Loss: 0.0093
13
- Validation Loss: 0.0037
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9988
17
- Validation Accuracy: 0.9996
18
- Training Loss: 0.0047
19
- Validation Loss: 0.0023
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9992
23
- Validation Accuracy: 0.9992
24
- Training Loss: 0.0035
25
- Validation Loss: 0.0024
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9997
29
- Validation Accuracy: 0.9996
30
- Training Loss: 0.0022
31
- Validation Loss: 0.0016
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9995
35
- Validation Accuracy: 0.9992
36
- Training Loss: 0.0019
37
- Validation Loss: 0.0023
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9999
41
- Validation Accuracy: 0.9996
42
- Training Loss: 0.0013
43
- Validation Loss: 0.0016
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9998
47
- Validation Accuracy: 0.9998
48
- Training Loss: 0.0014
49
- Validation Loss: 0.0015
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9999
53
- Validation Accuracy: 0.9998
54
- Training Loss: 0.0008
55
- Validation Loss: 0.0015
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 1.0000
59
- Validation Accuracy: 0.9998
60
- Training Loss: 0.0006
61
- Validation Loss: 0.0009
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9999
65
- Validation Accuracy: 0.9998
66
- Training Loss: 0.0005
67
- Validation Loss: 0.0008
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9999
71
- Validation Accuracy: 0.9998
72
- Training Loss: 0.0004
73
- Validation Loss: 0.0008
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9998
77
- Validation Accuracy: 0.9998
78
- Training Loss: 0.0007
79
- Validation Loss: 0.0007
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 1.0000
83
- Validation Accuracy: 0.9998
84
- Training Loss: 0.0003
85
- Validation Loss: 0.0006
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 1.0000
89
- Validation Accuracy: 0.9998
90
- Training Loss: 0.0002
91
- Validation Loss: 0.0006
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9999
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  Validation Accuracy: 0.9998
96
- Training Loss: 0.0003
97
- Validation Loss: 0.0008
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  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 1.0000
101
- Validation Accuracy: 0.9998
102
- Training Loss: 0.0002
103
- Validation Loss: 0.0007
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 0.9998
107
- Validation Accuracy: 0.9996
108
- Training Loss: 0.0006
109
- Validation Loss: 0.0007
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 1.0000
113
- Validation Accuracy: 0.9998
114
- Training Loss: 0.0002
115
- Validation Loss: 0.0005
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 1.0000
119
- Validation Accuracy: 0.9998
120
- Training Loss: 0.0001
121
- Validation Loss: 0.0004
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 1.0000
125
- Validation Accuracy: 1.0000
126
- Training Loss: 0.0001
127
- Validation Loss: 0.0004
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 1.0000
131
- Validation Accuracy: 0.9992
132
- Training Loss: 0.0002
133
- Validation Loss: 0.0020
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 1.0000
137
  Validation Accuracy: 0.9998
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- Training Loss: 0.0001
139
- Validation Loss: 0.0007
140
  --------------------------------------------------
141
  Epoch 24
142
- Training Accuracy: 0.9999
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- Validation Accuracy: 0.9998
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- Training Loss: 0.0001
145
- Validation Loss: 0.0006
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  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 0.9999
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- Validation Accuracy: 0.9998
150
- Training Loss: 0.0003
151
- Validation Loss: 0.0003
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  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 0.9999
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- Validation Accuracy: 0.9998
156
- Training Loss: 0.0001
157
- Validation Loss: 0.0004
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  --------------------------------------------------
159
  Epoch 27
160
- Training Accuracy: 0.9999
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- Validation Accuracy: 0.9998
162
- Training Loss: 0.0002
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- Validation Loss: 0.0004
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  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 0.9999
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- Validation Accuracy: 0.9998
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- Training Loss: 0.0002
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- Validation Loss: 0.0004
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  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 0.9998
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- Validation Accuracy: 0.9998
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- Training Loss: 0.0004
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- Validation Loss: 0.0007
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  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 1.0000
179
- Validation Accuracy: 0.9998
180
- Training Loss: 0.0001
181
- Validation Loss: 0.0005
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  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9785
5
+ Validation Accuracy: 0.9960
6
+ Training Loss: 0.0679
7
+ Validation Loss: 0.0146
8
  --------------------------------------------------
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  Epoch 2
10
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11
+ Validation Accuracy: 0.9976
12
+ Training Loss: 0.0139
13
+ Validation Loss: 0.0079
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9977
17
+ Validation Accuracy: 0.9987
18
+ Training Loss: 0.0084
19
+ Validation Loss: 0.0045
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9982
23
+ Validation Accuracy: 0.9991
24
+ Training Loss: 0.0060
25
+ Validation Loss: 0.0035
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9986
29
+ Validation Accuracy: 0.9991
30
+ Training Loss: 0.0044
31
+ Validation Loss: 0.0028
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9990
35
+ Validation Accuracy: 0.9995
36
+ Training Loss: 0.0035
37
+ Validation Loss: 0.0025
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9993
41
+ Validation Accuracy: 0.9994
42
+ Training Loss: 0.0030
43
+ Validation Loss: 0.0019
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9992
47
+ Validation Accuracy: 0.9994
48
+ Training Loss: 0.0024
49
+ Validation Loss: 0.0021
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9994
53
+ Validation Accuracy: 0.9996
54
+ Training Loss: 0.0021
55
+ Validation Loss: 0.0013
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9996
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+ Validation Accuracy: 0.9996
60
+ Training Loss: 0.0018
61
+ Validation Loss: 0.0013
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  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 0.9995
65
+ Validation Accuracy: 0.9997
66
+ Training Loss: 0.0016
67
+ Validation Loss: 0.0011
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  --------------------------------------------------
69
  Epoch 12
70
+ Training Accuracy: 0.9994
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+ Validation Accuracy: 0.9997
72
+ Training Loss: 0.0016
73
+ Validation Loss: 0.0015
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  --------------------------------------------------
75
  Epoch 13
76
+ Training Accuracy: 0.9997
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0012
79
+ Validation Loss: 0.0016
80
  --------------------------------------------------
81
  Epoch 14
82
+ Training Accuracy: 0.9996
83
+ Validation Accuracy: 0.9996
84
+ Training Loss: 0.0013
85
+ Validation Loss: 0.0015
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  --------------------------------------------------
87
  Epoch 15
88
+ Training Accuracy: 0.9995
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+ Validation Accuracy: 0.9993
90
+ Training Loss: 0.0017
91
+ Validation Loss: 0.0025
92
  --------------------------------------------------
93
  Epoch 16
94
+ Training Accuracy: 0.9998
95
  Validation Accuracy: 0.9998
96
+ Training Loss: 0.0012
97
+ Validation Loss: 0.0009
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  --------------------------------------------------
99
  Epoch 17
100
+ Training Accuracy: 0.9996
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+ Validation Accuracy: 0.9996
102
+ Training Loss: 0.0011
103
+ Validation Loss: 0.0010
104
  --------------------------------------------------
105
  Epoch 18
106
+ Training Accuracy: 0.9996
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+ Validation Accuracy: 0.9995
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+ Training Loss: 0.0012
109
+ Validation Loss: 0.0013
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  --------------------------------------------------
111
  Epoch 19
112
+ Training Accuracy: 0.9998
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0008
115
+ Validation Loss: 0.0013
116
  --------------------------------------------------
117
  Epoch 20
118
+ Training Accuracy: 0.9998
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+ Validation Accuracy: 0.9997
120
+ Training Loss: 0.0008
121
+ Validation Loss: 0.0010
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  --------------------------------------------------
123
  Epoch 21
124
+ Training Accuracy: 0.9997
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0010
127
+ Validation Loss: 0.0008
128
  --------------------------------------------------
129
  Epoch 22
130
+ Training Accuracy: 0.9997
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+ Validation Accuracy: 0.9997
132
+ Training Loss: 0.0008
133
+ Validation Loss: 0.0007
134
  --------------------------------------------------
135
  Epoch 23
136
+ Training Accuracy: 0.9998
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  Validation Accuracy: 0.9998
138
+ Training Loss: 0.0008
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+ Validation Loss: 0.0008
140
  --------------------------------------------------
141
  Epoch 24
142
+ Training Accuracy: 0.9998
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+ Validation Accuracy: 0.9999
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+ Training Loss: 0.0006
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+ Validation Loss: 0.0007
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  --------------------------------------------------
147
  Epoch 25
148
+ Training Accuracy: 0.9997
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0009
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+ Validation Loss: 0.0008
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  --------------------------------------------------
153
  Epoch 26
154
+ Training Accuracy: 0.9998
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0008
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+ Validation Loss: 0.0006
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  --------------------------------------------------
159
  Epoch 27
160
+ Training Accuracy: 0.9996
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+ Validation Accuracy: 0.9995
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+ Training Loss: 0.0012
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+ Validation Loss: 0.0011
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  --------------------------------------------------
165
  Epoch 28
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+ Training Accuracy: 0.9998
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0008
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+ Validation Loss: 0.0005
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  --------------------------------------------------
171
  Epoch 29
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  Training Accuracy: 0.9998
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+ Validation Accuracy: 0.9999
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+ Training Loss: 0.0008
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+ Validation Loss: 0.0005
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  --------------------------------------------------
177
  Epoch 30
178
+ Training Accuracy: 0.9998
179
+ Validation Accuracy: 0.9999
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+ Training Loss: 0.0008
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+ Validation Loss: 0.0004
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  --------------------------------------------------
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  Precision: 1.0000
2
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- Sensitivity: 1.0000
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  Specificity: 1.0000
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- F1-Score: 1.0000
6
  AUC: 1.0000
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- Balanced Accuracy: 1.0000
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- Jaccard Index: 1.0000
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- Log Loss: 0.0000
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  Precision: 1.0000
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  AUC: 1.0000
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DenseNet169/BINARY_DenseNet169_Round2/training_validation_metrics.txt CHANGED
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9775
5
- Validation Accuracy: 0.9978
6
- Training Loss: 0.0756
7
- Validation Loss: 0.0087
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9983
11
- Validation Accuracy: 0.9992
12
- Training Loss: 0.0095
13
- Validation Loss: 0.0043
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9990
17
- Validation Accuracy: 0.9996
18
- Training Loss: 0.0051
19
- Validation Loss: 0.0025
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9993
23
- Validation Accuracy: 0.9998
24
- Training Loss: 0.0036
25
- Validation Loss: 0.0016
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9994
29
- Validation Accuracy: 0.9996
30
- Training Loss: 0.0025
31
- Validation Loss: 0.0017
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9995
35
- Validation Accuracy: 0.9998
36
- Training Loss: 0.0020
37
- Validation Loss: 0.0011
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9998
41
- Validation Accuracy: 0.9996
42
- Training Loss: 0.0013
43
- Validation Loss: 0.0015
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9997
47
  Validation Accuracy: 0.9996
48
- Training Loss: 0.0012
49
- Validation Loss: 0.0010
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9998
53
- Validation Accuracy: 0.9998
54
- Training Loss: 0.0009
55
- Validation Loss: 0.0009
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9998
59
- Validation Accuracy: 0.9998
60
- Training Loss: 0.0009
61
- Validation Loss: 0.0008
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9999
65
- Validation Accuracy: 0.9998
66
- Training Loss: 0.0005
67
- Validation Loss: 0.0007
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9999
71
- Validation Accuracy: 0.9996
72
- Training Loss: 0.0005
73
- Validation Loss: 0.0008
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9998
77
- Validation Accuracy: 0.9996
78
- Training Loss: 0.0007
79
- Validation Loss: 0.0009
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9999
83
- Validation Accuracy: 0.9998
84
- Training Loss: 0.0005
85
- Validation Loss: 0.0007
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 1.0000
89
- Validation Accuracy: 0.9998
90
- Training Loss: 0.0003
91
  Validation Loss: 0.0008
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 1.0000
95
- Validation Accuracy: 0.9998
96
- Training Loss: 0.0003
97
- Validation Loss: 0.0007
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 0.9999
101
  Validation Accuracy: 0.9998
102
- Training Loss: 0.0003
103
  Validation Loss: 0.0007
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 0.9999
107
- Validation Accuracy: 0.9998
108
- Training Loss: 0.0003
109
- Validation Loss: 0.0003
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 1.0000
113
- Validation Accuracy: 0.9998
114
- Training Loss: 0.0002
115
- Validation Loss: 0.0005
116
  --------------------------------------------------
117
  Epoch 20
118
  Training Accuracy: 0.9999
119
- Validation Accuracy: 0.9998
120
- Training Loss: 0.0002
121
- Validation Loss: 0.0006
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 0.9999
125
- Validation Accuracy: 1.0000
126
- Training Loss: 0.0002
127
- Validation Loss: 0.0003
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9999
131
- Validation Accuracy: 1.0000
132
- Training Loss: 0.0002
133
- Validation Loss: 0.0002
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 1.0000
137
- Validation Accuracy: 0.9998
138
- Training Loss: 0.0001
139
- Validation Loss: 0.0004
140
  --------------------------------------------------
141
  Epoch 24
142
- Training Accuracy: 0.9999
143
- Validation Accuracy: 1.0000
144
- Training Loss: 0.0002
145
- Validation Loss: 0.0004
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 1.0000
149
- Validation Accuracy: 1.0000
150
- Training Loss: 0.0001
151
- Validation Loss: 0.0002
152
  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 1.0000
155
- Validation Accuracy: 0.9998
156
- Training Loss: 0.0001
157
- Validation Loss: 0.0003
158
  --------------------------------------------------
159
  Epoch 27
160
- Training Accuracy: 1.0000
161
- Validation Accuracy: 1.0000
162
- Training Loss: 0.0001
163
- Validation Loss: 0.0001
164
  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 1.0000
167
- Validation Accuracy: 1.0000
168
- Training Loss: 0.0000
169
- Validation Loss: 0.0001
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 0.9999
173
- Validation Accuracy: 1.0000
174
- Training Loss: 0.0002
175
- Validation Loss: 0.0002
176
  --------------------------------------------------
177
  Epoch 30
178
  Training Accuracy: 0.9999
179
- Validation Accuracy: 1.0000
180
- Training Loss: 0.0001
181
- Validation Loss: 0.0002
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9797
5
+ Validation Accuracy: 0.9969
6
+ Training Loss: 0.0669
7
+ Validation Loss: 0.0133
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9961
11
+ Validation Accuracy: 0.9984
12
+ Training Loss: 0.0139
13
+ Validation Loss: 0.0064
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9979
17
+ Validation Accuracy: 0.9991
18
+ Training Loss: 0.0079
19
+ Validation Loss: 0.0040
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9986
23
+ Validation Accuracy: 0.9994
24
+ Training Loss: 0.0056
25
+ Validation Loss: 0.0030
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9986
29
+ Validation Accuracy: 0.9995
30
+ Training Loss: 0.0047
31
+ Validation Loss: 0.0024
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9993
35
+ Validation Accuracy: 0.9995
36
+ Training Loss: 0.0029
37
+ Validation Loss: 0.0019
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9993
41
+ Validation Accuracy: 0.9995
42
+ Training Loss: 0.0026
43
+ Validation Loss: 0.0017
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9993
47
  Validation Accuracy: 0.9996
48
+ Training Loss: 0.0026
49
+ Validation Loss: 0.0014
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9995
53
+ Validation Accuracy: 0.9996
54
+ Training Loss: 0.0022
55
+ Validation Loss: 0.0012
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9994
59
+ Validation Accuracy: 0.9997
60
+ Training Loss: 0.0020
61
+ Validation Loss: 0.0010
62
  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 0.9996
65
+ Validation Accuracy: 0.9996
66
+ Training Loss: 0.0015
67
+ Validation Loss: 0.0009
68
  --------------------------------------------------
69
  Epoch 12
70
+ Training Accuracy: 0.9997
71
+ Validation Accuracy: 0.9995
72
+ Training Loss: 0.0014
73
+ Validation Loss: 0.0013
74
  --------------------------------------------------
75
  Epoch 13
76
+ Training Accuracy: 0.9996
77
+ Validation Accuracy: 0.9997
78
+ Training Loss: 0.0010
79
+ Validation Loss: 0.0007
80
  --------------------------------------------------
81
  Epoch 14
82
+ Training Accuracy: 0.9998
83
+ Validation Accuracy: 0.9996
84
+ Training Loss: 0.0011
85
+ Validation Loss: 0.0010
86
  --------------------------------------------------
87
  Epoch 15
88
+ Training Accuracy: 0.9997
89
+ Validation Accuracy: 0.9997
90
+ Training Loss: 0.0011
91
  Validation Loss: 0.0008
92
  --------------------------------------------------
93
  Epoch 16
94
+ Training Accuracy: 0.9998
95
+ Validation Accuracy: 0.9996
96
+ Training Loss: 0.0008
97
+ Validation Loss: 0.0009
98
  --------------------------------------------------
99
  Epoch 17
100
+ Training Accuracy: 0.9996
101
  Validation Accuracy: 0.9998
102
+ Training Loss: 0.0013
103
  Validation Loss: 0.0007
104
  --------------------------------------------------
105
  Epoch 18
106
+ Training Accuracy: 0.9996
107
+ Validation Accuracy: 0.9997
108
+ Training Loss: 0.0011
109
+ Validation Loss: 0.0008
110
  --------------------------------------------------
111
  Epoch 19
112
+ Training Accuracy: 0.9997
113
+ Validation Accuracy: 0.9997
114
+ Training Loss: 0.0010
115
+ Validation Loss: 0.0007
116
  --------------------------------------------------
117
  Epoch 20
118
  Training Accuracy: 0.9999
119
+ Validation Accuracy: 0.9996
120
+ Training Loss: 0.0005
121
+ Validation Loss: 0.0008
122
  --------------------------------------------------
123
  Epoch 21
124
+ Training Accuracy: 0.9996
125
+ Validation Accuracy: 0.9997
126
+ Training Loss: 0.0012
127
+ Validation Loss: 0.0007
128
  --------------------------------------------------
129
  Epoch 22
130
+ Training Accuracy: 0.9996
131
+ Validation Accuracy: 0.9996
132
+ Training Loss: 0.0010
133
+ Validation Loss: 0.0009
134
  --------------------------------------------------
135
  Epoch 23
136
+ Training Accuracy: 0.9998
137
+ Validation Accuracy: 0.9997
138
+ Training Loss: 0.0007
139
+ Validation Loss: 0.0006
140
  --------------------------------------------------
141
  Epoch 24
142
+ Training Accuracy: 0.9998
143
+ Validation Accuracy: 0.9998
144
+ Training Loss: 0.0007
145
+ Validation Loss: 0.0005
146
  --------------------------------------------------
147
  Epoch 25
148
+ Training Accuracy: 0.9999
149
+ Validation Accuracy: 0.9998
150
+ Training Loss: 0.0004
151
+ Validation Loss: 0.0005
152
  --------------------------------------------------
153
  Epoch 26
154
+ Training Accuracy: 0.9999
155
+ Validation Accuracy: 0.9997
156
+ Training Loss: 0.0004
157
+ Validation Loss: 0.0010
158
  --------------------------------------------------
159
  Epoch 27
160
+ Training Accuracy: 0.9997
161
+ Validation Accuracy: 0.9999
162
+ Training Loss: 0.0009
163
+ Validation Loss: 0.0003
164
  --------------------------------------------------
165
  Epoch 28
166
+ Training Accuracy: 0.9999
167
+ Validation Accuracy: 0.9997
168
+ Training Loss: 0.0005
169
+ Validation Loss: 0.0005
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 0.9999
173
+ Validation Accuracy: 0.9998
174
+ Training Loss: 0.0004
175
+ Validation Loss: 0.0004
176
  --------------------------------------------------
177
  Epoch 30
178
  Training Accuracy: 0.9999
179
+ Validation Accuracy: 0.9998
180
+ Training Loss: 0.0003
181
+ Validation Loss: 0.0004
182
  --------------------------------------------------
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- Sensitivity: 1.0000
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  Specificity: 1.0000
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- F1-Score: 1.0000
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  AUC: 1.0000
7
- MCC: 1.0000
8
- Cohen's Kappa: 1.0000
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- Balanced Accuracy: 1.0000
10
- Jaccard Index: 1.0000
11
- Log Loss: 0.0000
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- F0.5-Score: 1.0000
 
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  Precision: 1.0000
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+ Sensitivity: 0.9996
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  Specificity: 1.0000
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+ F1-Score: 0.9998
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  AUC: 1.0000
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+ MCC: 0.9996
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+ Cohen's Kappa: 0.9996
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+ Balanced Accuracy: 0.9998
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+ Jaccard Index: 0.9996
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+ Log Loss: 0.0004
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DenseNet169/BINARY_DenseNet169_Round3/training_validation_metrics.txt CHANGED
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9708
5
- Validation Accuracy: 0.9970
6
- Training Loss: 0.0846
7
- Validation Loss: 0.0106
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9980
11
- Validation Accuracy: 0.9992
12
- Training Loss: 0.0103
13
- Validation Loss: 0.0040
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9989
17
- Validation Accuracy: 0.9996
18
- Training Loss: 0.0054
19
- Validation Loss: 0.0023
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9987
23
- Validation Accuracy: 0.9998
24
- Training Loss: 0.0041
25
- Validation Loss: 0.0016
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9996
29
- Validation Accuracy: 0.9998
30
- Training Loss: 0.0023
31
- Validation Loss: 0.0014
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9994
35
- Validation Accuracy: 0.9998
36
- Training Loss: 0.0023
37
- Validation Loss: 0.0014
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9997
41
- Validation Accuracy: 0.9998
42
- Training Loss: 0.0013
43
- Validation Loss: 0.0013
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9999
47
- Validation Accuracy: 0.9998
48
- Training Loss: 0.0009
49
- Validation Loss: 0.0011
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9995
53
- Validation Accuracy: 0.9998
54
- Training Loss: 0.0013
55
- Validation Loss: 0.0009
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9997
59
- Validation Accuracy: 0.9998
60
- Training Loss: 0.0011
61
- Validation Loss: 0.0008
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9998
65
- Validation Accuracy: 0.9998
66
- Training Loss: 0.0008
67
- Validation Loss: 0.0008
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9999
71
- Validation Accuracy: 0.9998
72
- Training Loss: 0.0004
73
- Validation Loss: 0.0008
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9999
77
  Validation Accuracy: 0.9996
78
- Training Loss: 0.0005
79
- Validation Loss: 0.0013
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9999
83
- Validation Accuracy: 0.9996
84
- Training Loss: 0.0005
85
- Validation Loss: 0.0014
86
  --------------------------------------------------
87
  Epoch 15
88
  Training Accuracy: 0.9999
89
- Validation Accuracy: 1.0000
90
- Training Loss: 0.0004
91
- Validation Loss: 0.0005
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 1.0000
95
- Validation Accuracy: 0.9998
96
- Training Loss: 0.0002
97
- Validation Loss: 0.0006
98
  --------------------------------------------------
99
  Epoch 17
100
  Training Accuracy: 0.9998
101
- Validation Accuracy: 0.9998
102
- Training Loss: 0.0006
103
- Validation Loss: 0.0006
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 1.0000
107
- Validation Accuracy: 0.9998
108
- Training Loss: 0.0002
109
- Validation Loss: 0.0007
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 1.0000
113
- Validation Accuracy: 0.9998
114
- Training Loss: 0.0002
115
- Validation Loss: 0.0007
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 0.9999
119
- Validation Accuracy: 0.9998
120
- Training Loss: 0.0002
121
  Validation Loss: 0.0008
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 1.0000
125
  Validation Accuracy: 0.9998
126
- Training Loss: 0.0002
127
- Validation Loss: 0.0005
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9999
131
- Validation Accuracy: 0.9998
132
- Training Loss: 0.0001
133
  Validation Loss: 0.0008
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 1.0000
137
- Validation Accuracy: 0.9996
138
- Training Loss: 0.0001
139
- Validation Loss: 0.0006
140
  --------------------------------------------------
141
  Epoch 24
142
- Training Accuracy: 1.0000
143
- Validation Accuracy: 0.9996
144
- Training Loss: 0.0001
145
  Validation Loss: 0.0005
146
  --------------------------------------------------
147
  Epoch 25
148
  Training Accuracy: 0.9999
149
- Validation Accuracy: 0.9996
150
- Training Loss: 0.0001
151
- Validation Loss: 0.0013
152
  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 1.0000
155
- Validation Accuracy: 1.0000
156
- Training Loss: 0.0001
157
- Validation Loss: 0.0003
158
  --------------------------------------------------
159
  Epoch 27
160
- Training Accuracy: 0.9999
161
- Validation Accuracy: 0.9998
162
- Training Loss: 0.0002
163
- Validation Loss: 0.0004
164
  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 1.0000
167
- Validation Accuracy: 0.9998
168
- Training Loss: 0.0001
169
- Validation Loss: 0.0002
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 0.9998
173
- Validation Accuracy: 0.9998
174
- Training Loss: 0.0003
175
- Validation Loss: 0.0003
176
  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 1.0000
179
- Validation Accuracy: 1.0000
180
- Training Loss: 0.0001
181
- Validation Loss: 0.0003
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9734
5
+ Validation Accuracy: 0.9957
6
+ Training Loss: 0.0791
7
+ Validation Loss: 0.0167
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9959
11
+ Validation Accuracy: 0.9977
12
+ Training Loss: 0.0156
13
+ Validation Loss: 0.0083
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9973
17
+ Validation Accuracy: 0.9986
18
+ Training Loss: 0.0092
19
+ Validation Loss: 0.0051
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9980
23
+ Validation Accuracy: 0.9985
24
+ Training Loss: 0.0063
25
+ Validation Loss: 0.0040
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9987
29
+ Validation Accuracy: 0.9993
30
+ Training Loss: 0.0045
31
+ Validation Loss: 0.0031
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9991
35
+ Validation Accuracy: 0.9994
36
+ Training Loss: 0.0035
37
+ Validation Loss: 0.0023
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9993
41
+ Validation Accuracy: 0.9994
42
+ Training Loss: 0.0029
43
+ Validation Loss: 0.0023
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9993
47
+ Validation Accuracy: 0.9995
48
+ Training Loss: 0.0023
49
+ Validation Loss: 0.0016
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9994
53
+ Validation Accuracy: 0.9996
54
+ Training Loss: 0.0020
55
+ Validation Loss: 0.0013
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9994
59
+ Validation Accuracy: 0.9997
60
+ Training Loss: 0.0021
61
+ Validation Loss: 0.0011
62
  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 0.9994
65
+ Validation Accuracy: 0.9997
66
+ Training Loss: 0.0017
67
+ Validation Loss: 0.0010
68
  --------------------------------------------------
69
  Epoch 12
70
+ Training Accuracy: 0.9997
71
+ Validation Accuracy: 0.9997
72
+ Training Loss: 0.0015
73
+ Validation Loss: 0.0011
74
  --------------------------------------------------
75
  Epoch 13
76
+ Training Accuracy: 0.9995
77
  Validation Accuracy: 0.9996
78
+ Training Loss: 0.0015
79
+ Validation Loss: 0.0010
80
  --------------------------------------------------
81
  Epoch 14
82
+ Training Accuracy: 0.9996
83
+ Validation Accuracy: 0.9995
84
+ Training Loss: 0.0013
85
+ Validation Loss: 0.0010
86
  --------------------------------------------------
87
  Epoch 15
88
  Training Accuracy: 0.9999
89
+ Validation Accuracy: 0.9997
90
+ Training Loss: 0.0008
91
+ Validation Loss: 0.0010
92
  --------------------------------------------------
93
  Epoch 16
94
+ Training Accuracy: 0.9997
95
+ Validation Accuracy: 0.9997
96
+ Training Loss: 0.0013
97
+ Validation Loss: 0.0007
98
  --------------------------------------------------
99
  Epoch 17
100
  Training Accuracy: 0.9998
101
+ Validation Accuracy: 0.9996
102
+ Training Loss: 0.0009
103
+ Validation Loss: 0.0008
104
  --------------------------------------------------
105
  Epoch 18
106
+ Training Accuracy: 0.9998
107
+ Validation Accuracy: 0.9997
108
+ Training Loss: 0.0009
109
+ Validation Loss: 0.0009
110
  --------------------------------------------------
111
  Epoch 19
112
+ Training Accuracy: 0.9998
113
+ Validation Accuracy: 0.9997
114
+ Training Loss: 0.0007
115
+ Validation Loss: 0.0008
116
  --------------------------------------------------
117
  Epoch 20
118
+ Training Accuracy: 0.9998
119
+ Validation Accuracy: 0.9997
120
+ Training Loss: 0.0007
121
  Validation Loss: 0.0008
122
  --------------------------------------------------
123
  Epoch 21
124
+ Training Accuracy: 0.9999
125
  Validation Accuracy: 0.9998
126
+ Training Loss: 0.0005
127
+ Validation Loss: 0.0007
128
  --------------------------------------------------
129
  Epoch 22
130
+ Training Accuracy: 0.9998
131
+ Validation Accuracy: 0.9997
132
+ Training Loss: 0.0007
133
  Validation Loss: 0.0008
134
  --------------------------------------------------
135
  Epoch 23
136
+ Training Accuracy: 0.9998
137
+ Validation Accuracy: 0.9997
138
+ Training Loss: 0.0006
139
+ Validation Loss: 0.0009
140
  --------------------------------------------------
141
  Epoch 24
142
+ Training Accuracy: 0.9998
143
+ Validation Accuracy: 0.9999
144
+ Training Loss: 0.0008
145
  Validation Loss: 0.0005
146
  --------------------------------------------------
147
  Epoch 25
148
  Training Accuracy: 0.9999
149
+ Validation Accuracy: 0.9999
150
+ Training Loss: 0.0004
151
+ Validation Loss: 0.0005
152
  --------------------------------------------------
153
  Epoch 26
154
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0003
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  --------------------------------------------------
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  Epoch 27
160
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0011
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+ Validation Loss: 0.0011
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  --------------------------------------------------
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  Epoch 28
166
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0007
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+ Validation Loss: 0.0007
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  --------------------------------------------------
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  Epoch 29
172
  Training Accuracy: 0.9998
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+ Validation Accuracy: 0.9995
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+ Training Loss: 0.0005
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+ Validation Loss: 0.0016
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  --------------------------------------------------
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  Epoch 30
178
+ Training Accuracy: 0.9998
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0007
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+ Validation Loss: 0.0008
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  --------------------------------------------------
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9737
5
- Validation Accuracy: 0.9978
6
- Training Loss: 0.0837
7
- Validation Loss: 0.0097
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  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9981
11
- Validation Accuracy: 0.9990
12
- Training Loss: 0.0099
13
- Validation Loss: 0.0041
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9990
17
- Validation Accuracy: 0.9990
18
- Training Loss: 0.0055
19
- Validation Loss: 0.0035
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9990
23
- Validation Accuracy: 0.9996
24
- Training Loss: 0.0037
25
- Validation Loss: 0.0019
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9994
29
- Validation Accuracy: 0.9998
30
- Training Loss: 0.0030
31
- Validation Loss: 0.0018
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9996
35
- Validation Accuracy: 0.9998
36
- Training Loss: 0.0016
37
- Validation Loss: 0.0014
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9996
41
- Validation Accuracy: 1.0000
42
- Training Loss: 0.0016
43
- Validation Loss: 0.0008
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9998
47
- Validation Accuracy: 1.0000
48
- Training Loss: 0.0012
49
- Validation Loss: 0.0010
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9999
53
- Validation Accuracy: 1.0000
54
- Training Loss: 0.0008
55
- Validation Loss: 0.0007
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9997
59
- Validation Accuracy: 0.9998
60
- Training Loss: 0.0009
61
- Validation Loss: 0.0006
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9998
65
- Validation Accuracy: 0.9998
66
- Training Loss: 0.0008
67
- Validation Loss: 0.0006
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9999
71
- Validation Accuracy: 1.0000
72
- Training Loss: 0.0005
73
- Validation Loss: 0.0004
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 1.0000
77
- Validation Accuracy: 1.0000
78
- Training Loss: 0.0003
79
- Validation Loss: 0.0003
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9999
83
- Validation Accuracy: 1.0000
84
- Training Loss: 0.0004
85
- Validation Loss: 0.0004
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9999
89
- Validation Accuracy: 1.0000
90
- Training Loss: 0.0003
91
- Validation Loss: 0.0004
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9999
95
- Validation Accuracy: 1.0000
96
- Training Loss: 0.0006
97
- Validation Loss: 0.0005
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 1.0000
101
- Validation Accuracy: 1.0000
102
- Training Loss: 0.0002
103
- Validation Loss: 0.0003
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 0.9999
107
- Validation Accuracy: 1.0000
108
- Training Loss: 0.0003
109
- Validation Loss: 0.0004
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 0.9999
113
- Validation Accuracy: 1.0000
114
- Training Loss: 0.0002
115
- Validation Loss: 0.0003
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 0.9999
119
- Validation Accuracy: 1.0000
120
- Training Loss: 0.0002
121
- Validation Loss: 0.0004
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 1.0000
125
- Validation Accuracy: 0.9998
126
- Training Loss: 0.0003
127
- Validation Loss: 0.0003
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9999
131
- Validation Accuracy: 1.0000
132
- Training Loss: 0.0002
133
- Validation Loss: 0.0003
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  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 0.9999
137
- Validation Accuracy: 0.9998
138
- Training Loss: 0.0003
139
- Validation Loss: 0.0003
140
  --------------------------------------------------
141
  Epoch 24
142
  Training Accuracy: 1.0000
143
- Validation Accuracy: 1.0000
144
- Training Loss: 0.0001
145
- Validation Loss: 0.0002
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 1.0000
149
  Validation Accuracy: 0.9998
150
- Training Loss: 0.0001
151
- Validation Loss: 0.0004
152
  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 0.9999
155
- Validation Accuracy: 0.9998
156
- Training Loss: 0.0003
157
- Validation Loss: 0.0004
158
  --------------------------------------------------
159
  Epoch 27
160
- Training Accuracy: 0.9999
161
  Validation Accuracy: 0.9998
162
- Training Loss: 0.0002
163
- Validation Loss: 0.0004
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  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 1.0000
167
  Validation Accuracy: 0.9998
168
- Training Loss: 0.0001
169
- Validation Loss: 0.0003
170
  --------------------------------------------------
171
  Epoch 29
172
- Training Accuracy: 0.9999
173
- Validation Accuracy: 0.9998
174
- Training Loss: 0.0002
175
- Validation Loss: 0.0003
176
  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 1.0000
179
  Validation Accuracy: 0.9998
180
- Training Loss: 0.0000
181
- Validation Loss: 0.0004
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9753
5
+ Validation Accuracy: 0.9962
6
+ Training Loss: 0.0722
7
+ Validation Loss: 0.0145
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9960
11
+ Validation Accuracy: 0.9979
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+ Training Loss: 0.0141
13
+ Validation Loss: 0.0071
14
  --------------------------------------------------
15
  Epoch 3
16
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17
+ Validation Accuracy: 0.9988
18
+ Training Loss: 0.0082
19
+ Validation Loss: 0.0048
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9985
23
+ Validation Accuracy: 0.9993
24
+ Training Loss: 0.0059
25
+ Validation Loss: 0.0033
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9988
29
+ Validation Accuracy: 0.9994
30
+ Training Loss: 0.0045
31
+ Validation Loss: 0.0030
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9991
35
+ Validation Accuracy: 0.9992
36
+ Training Loss: 0.0034
37
+ Validation Loss: 0.0025
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9992
41
+ Validation Accuracy: 0.9995
42
+ Training Loss: 0.0031
43
+ Validation Loss: 0.0018
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9994
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+ Validation Accuracy: 0.9995
48
+ Training Loss: 0.0025
49
+ Validation Loss: 0.0016
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9995
53
+ Validation Accuracy: 0.9997
54
+ Training Loss: 0.0022
55
+ Validation Loss: 0.0013
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9994
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+ Validation Accuracy: 0.9995
60
+ Training Loss: 0.0022
61
+ Validation Loss: 0.0016
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  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 0.9994
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+ Validation Accuracy: 0.9995
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+ Training Loss: 0.0017
67
+ Validation Loss: 0.0015
68
  --------------------------------------------------
69
  Epoch 12
70
+ Training Accuracy: 0.9995
71
+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0017
73
+ Validation Loss: 0.0014
74
  --------------------------------------------------
75
  Epoch 13
76
+ Training Accuracy: 0.9998
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0010
79
+ Validation Loss: 0.0009
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  --------------------------------------------------
81
  Epoch 14
82
+ Training Accuracy: 0.9998
83
+ Validation Accuracy: 0.9995
84
+ Training Loss: 0.0010
85
+ Validation Loss: 0.0014
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  --------------------------------------------------
87
  Epoch 15
88
+ Training Accuracy: 0.9996
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+ Validation Accuracy: 0.9996
90
+ Training Loss: 0.0013
91
+ Validation Loss: 0.0008
92
  --------------------------------------------------
93
  Epoch 16
94
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95
+ Validation Accuracy: 0.9999
96
+ Training Loss: 0.0012
97
+ Validation Loss: 0.0006
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  --------------------------------------------------
99
  Epoch 17
100
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+ Validation Accuracy: 0.9995
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+ Training Loss: 0.0009
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+ Validation Loss: 0.0012
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  --------------------------------------------------
105
  Epoch 18
106
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0010
109
+ Validation Loss: 0.0007
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  --------------------------------------------------
111
  Epoch 19
112
+ Training Accuracy: 0.9998
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+ Validation Accuracy: 0.9999
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+ Training Loss: 0.0007
115
+ Validation Loss: 0.0006
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  --------------------------------------------------
117
  Epoch 20
118
+ Training Accuracy: 0.9996
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+ Validation Accuracy: 0.9996
120
+ Training Loss: 0.0010
121
+ Validation Loss: 0.0010
122
  --------------------------------------------------
123
  Epoch 21
124
+ Training Accuracy: 0.9998
125
+ Validation Accuracy: 0.9997
126
+ Training Loss: 0.0008
127
+ Validation Loss: 0.0005
128
  --------------------------------------------------
129
  Epoch 22
130
+ Training Accuracy: 0.9997
131
+ Validation Accuracy: 0.9998
132
+ Training Loss: 0.0007
133
+ Validation Loss: 0.0006
134
  --------------------------------------------------
135
  Epoch 23
136
+ Training Accuracy: 0.9998
137
+ Validation Accuracy: 0.9997
138
+ Training Loss: 0.0008
139
+ Validation Loss: 0.0005
140
  --------------------------------------------------
141
  Epoch 24
142
  Training Accuracy: 1.0000
143
+ Validation Accuracy: 0.9996
144
+ Training Loss: 0.0003
145
+ Validation Loss: 0.0009
146
  --------------------------------------------------
147
  Epoch 25
148
+ Training Accuracy: 0.9997
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  Validation Accuracy: 0.9998
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+ Training Loss: 0.0009
151
+ Validation Loss: 0.0005
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  --------------------------------------------------
153
  Epoch 26
154
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0012
157
+ Validation Loss: 0.0008
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  --------------------------------------------------
159
  Epoch 27
160
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161
  Validation Accuracy: 0.9998
162
+ Training Loss: 0.0008
163
+ Validation Loss: 0.0005
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  --------------------------------------------------
165
  Epoch 28
166
+ Training Accuracy: 0.9998
167
  Validation Accuracy: 0.9998
168
+ Training Loss: 0.0007
169
+ Validation Loss: 0.0005
170
  --------------------------------------------------
171
  Epoch 29
172
+ Training Accuracy: 0.9998
173
+ Validation Accuracy: 0.9999
174
+ Training Loss: 0.0007
175
+ Validation Loss: 0.0005
176
  --------------------------------------------------
177
  Epoch 30
178
+ Training Accuracy: 0.9998
179
  Validation Accuracy: 0.9998
180
+ Training Loss: 0.0006
181
+ Validation Loss: 0.0005
182
  --------------------------------------------------
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  Precision: 1.0000
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  Specificity: 1.0000
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  AUC: 1.0000
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- Cohen's Kappa: 1.0000
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- Balanced Accuracy: 1.0000
10
- Jaccard Index: 1.0000
11
- Log Loss: 0.0000
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- F0.5-Score: 1.0000
 
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  Specificity: 1.0000
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  AUC: 1.0000
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+ Balanced Accuracy: 0.9998
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+ Jaccard Index: 0.9996
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9743
5
- Validation Accuracy: 0.9976
6
- Training Loss: 0.0800
7
- Validation Loss: 0.0098
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9977
11
- Validation Accuracy: 0.9990
12
- Training Loss: 0.0104
13
- Validation Loss: 0.0040
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9986
17
- Validation Accuracy: 0.9996
18
- Training Loss: 0.0056
19
- Validation Loss: 0.0025
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9993
23
- Validation Accuracy: 0.9992
24
- Training Loss: 0.0034
25
- Validation Loss: 0.0023
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9993
29
- Validation Accuracy: 0.9996
30
- Training Loss: 0.0027
31
- Validation Loss: 0.0016
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9997
35
- Validation Accuracy: 0.9998
36
- Training Loss: 0.0019
37
- Validation Loss: 0.0012
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9999
41
- Validation Accuracy: 0.9998
42
- Training Loss: 0.0015
43
- Validation Loss: 0.0010
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9999
47
- Validation Accuracy: 1.0000
48
- Training Loss: 0.0010
49
- Validation Loss: 0.0007
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9999
53
- Validation Accuracy: 1.0000
54
- Training Loss: 0.0010
55
- Validation Loss: 0.0007
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9999
59
- Validation Accuracy: 1.0000
60
- Training Loss: 0.0006
61
- Validation Loss: 0.0008
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9999
65
- Validation Accuracy: 0.9998
66
- Training Loss: 0.0005
67
- Validation Loss: 0.0007
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 1.0000
71
- Validation Accuracy: 0.9998
72
- Training Loss: 0.0004
73
- Validation Loss: 0.0005
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9999
77
- Validation Accuracy: 1.0000
78
- Training Loss: 0.0005
79
  Validation Loss: 0.0008
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9999
83
- Validation Accuracy: 0.9996
84
- Training Loss: 0.0003
85
- Validation Loss: 0.0006
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9999
89
- Validation Accuracy: 1.0000
90
- Training Loss: 0.0007
91
- Validation Loss: 0.0005
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 1.0000
95
- Validation Accuracy: 1.0000
96
- Training Loss: 0.0004
97
- Validation Loss: 0.0005
98
  --------------------------------------------------
99
  Epoch 17
100
  Training Accuracy: 0.9999
101
- Validation Accuracy: 0.9996
102
- Training Loss: 0.0005
103
  Validation Loss: 0.0008
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 0.9999
107
- Validation Accuracy: 1.0000
108
- Training Loss: 0.0003
109
- Validation Loss: 0.0005
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 1.0000
113
- Validation Accuracy: 1.0000
114
- Training Loss: 0.0004
115
- Validation Loss: 0.0003
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 1.0000
119
- Validation Accuracy: 1.0000
120
- Training Loss: 0.0001
121
- Validation Loss: 0.0003
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 0.9999
125
- Validation Accuracy: 1.0000
126
- Training Loss: 0.0002
127
- Validation Loss: 0.0003
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9999
131
- Validation Accuracy: 1.0000
132
- Training Loss: 0.0002
133
- Validation Loss: 0.0002
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 1.0000
137
- Validation Accuracy: 1.0000
138
- Training Loss: 0.0001
139
- Validation Loss: 0.0002
140
  --------------------------------------------------
141
  Epoch 24
142
- Training Accuracy: 1.0000
143
- Validation Accuracy: 0.9998
144
- Training Loss: 0.0001
145
- Validation Loss: 0.0004
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 1.0000
149
- Validation Accuracy: 0.9998
150
- Training Loss: 0.0001
151
- Validation Loss: 0.0003
152
  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 0.9999
155
- Validation Accuracy: 0.9998
156
- Training Loss: 0.0003
157
- Validation Loss: 0.0004
158
  --------------------------------------------------
159
  Epoch 27
160
- Training Accuracy: 1.0000
161
- Validation Accuracy: 1.0000
162
- Training Loss: 0.0001
163
- Validation Loss: 0.0002
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  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 0.9999
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- Validation Accuracy: 0.9998
168
- Training Loss: 0.0001
169
- Validation Loss: 0.0002
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  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 0.9999
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  Validation Accuracy: 0.9998
174
- Training Loss: 0.0002
175
- Validation Loss: 0.0005
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  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 1.0000
179
- Validation Accuracy: 0.9998
180
- Training Loss: 0.0001
181
- Validation Loss: 0.0002
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  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9793
5
+ Validation Accuracy: 0.9960
6
+ Training Loss: 0.0679
7
+ Validation Loss: 0.0150
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9961
11
+ Validation Accuracy: 0.9982
12
+ Training Loss: 0.0142
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  --------------------------------------------------
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  Epoch 3
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  --------------------------------------------------
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  --------------------------------------------------
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  --------------------------------------------------
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  --------------------------------------------------
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  Epoch 7
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  --------------------------------------------------
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  Epoch 8
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  --------------------------------------------------
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  Epoch 9
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  --------------------------------------------------
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  Epoch 10
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  --------------------------------------------------
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  --------------------------------------------------
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  Epoch 12
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  --------------------------------------------------
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  Epoch 13
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  Validation Loss: 0.0008
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  --------------------------------------------------
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  Epoch 14
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  --------------------------------------------------
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  Epoch 15
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  --------------------------------------------------
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  Epoch 16
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  --------------------------------------------------
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  Validation Loss: 0.0008
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  --------------------------------------------------
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  --------------------------------------------------
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  --------------------------------------------------
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  --------------------------------------------------
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  --------------------------------------------------
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+ Validation Loss: 0.0008
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  --------------------------------------------------
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  --------------------------------------------------
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  --------------------------------------------------
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  --------------------------------------------------
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  --------------------------------------------------
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  --------------------------------------------------
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  --------------------------------------------------
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  Epoch 29
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  Validation Accuracy: 0.9998
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  --------------------------------------------------
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  Epoch 30
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+ Validation Accuracy: 0.9999
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+ Training Loss: 0.0003
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+ Validation Loss: 0.0004
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  --------------------------------------------------
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9660
5
- Validation Accuracy: 0.9932
6
- Training Loss: 0.1018
7
- Validation Loss: 0.0236
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  --------------------------------------------------
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  Epoch 2
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- Validation Accuracy: 0.9960
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- Validation Loss: 0.0136
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  --------------------------------------------------
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  Epoch 3
16
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- Validation Accuracy: 0.9972
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- Training Loss: 0.0119
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- Validation Loss: 0.0102
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  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9976
23
- Validation Accuracy: 0.9976
24
- Training Loss: 0.0086
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- Validation Loss: 0.0080
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  --------------------------------------------------
27
  Epoch 5
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29
- Validation Accuracy: 0.9982
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- Training Loss: 0.0070
31
- Validation Loss: 0.0068
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  --------------------------------------------------
33
  Epoch 6
34
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  Validation Accuracy: 0.9982
36
- Training Loss: 0.0054
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- Validation Loss: 0.0064
38
  --------------------------------------------------
39
  Epoch 7
40
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41
- Validation Accuracy: 0.9986
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- Training Loss: 0.0038
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  Validation Loss: 0.0045
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  --------------------------------------------------
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  Epoch 8
46
- Training Accuracy: 0.9989
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- Validation Accuracy: 0.9984
48
- Training Loss: 0.0042
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- Validation Loss: 0.0050
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  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9994
53
- Validation Accuracy: 0.9990
54
- Training Loss: 0.0031
55
- Validation Loss: 0.0036
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  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9993
59
- Validation Accuracy: 0.9990
60
- Training Loss: 0.0029
61
- Validation Loss: 0.0038
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  --------------------------------------------------
63
  Epoch 11
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- Training Accuracy: 0.9994
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- Validation Accuracy: 0.9992
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- Training Loss: 0.0024
67
- Validation Loss: 0.0031
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  --------------------------------------------------
69
  Epoch 12
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- Training Accuracy: 0.9995
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- Validation Accuracy: 0.9992
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- Training Loss: 0.0020
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- Validation Loss: 0.0029
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  --------------------------------------------------
75
  Epoch 13
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- Training Accuracy: 0.9995
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- Validation Accuracy: 0.9992
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- Training Loss: 0.0018
79
- Validation Loss: 0.0032
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  --------------------------------------------------
81
  Epoch 14
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- Training Accuracy: 0.9997
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- Validation Accuracy: 0.9990
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- Training Loss: 0.0015
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  Validation Loss: 0.0029
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  --------------------------------------------------
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  Epoch 15
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- Validation Accuracy: 0.9994
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- Training Loss: 0.0014
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- Validation Loss: 0.0023
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  --------------------------------------------------
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  Epoch 16
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- Validation Accuracy: 0.9994
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- Training Loss: 0.0015
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- Validation Loss: 0.0027
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  --------------------------------------------------
99
  Epoch 17
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  Validation Accuracy: 0.9990
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- Training Loss: 0.0014
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- Validation Loss: 0.0028
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  --------------------------------------------------
105
  Epoch 18
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- Training Accuracy: 0.9998
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- Validation Accuracy: 0.9994
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- Training Loss: 0.0010
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- Validation Loss: 0.0023
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  --------------------------------------------------
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  Epoch 19
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- Training Accuracy: 0.9998
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- Validation Accuracy: 0.9994
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- Training Loss: 0.0012
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- Validation Loss: 0.0022
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  --------------------------------------------------
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  Epoch 20
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- Training Accuracy: 0.9999
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- Validation Accuracy: 0.9994
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- Training Loss: 0.0008
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  Validation Loss: 0.0019
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  --------------------------------------------------
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  Epoch 21
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- Validation Accuracy: 0.9996
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- Training Loss: 0.0007
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- Validation Loss: 0.0016
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  --------------------------------------------------
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  Validation Accuracy: 0.9992
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- Training Loss: 0.0009
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- Validation Loss: 0.0026
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  --------------------------------------------------
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  Epoch 23
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- Validation Accuracy: 0.9996
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- Training Loss: 0.0014
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- Validation Loss: 0.0015
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  --------------------------------------------------
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  Epoch 24
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- Validation Accuracy: 0.9988
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- Training Loss: 0.0011
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- Validation Loss: 0.0039
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  --------------------------------------------------
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- Training Loss: 0.0010
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- Validation Loss: 0.0014
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  --------------------------------------------------
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- Validation Accuracy: 0.9996
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- Training Loss: 0.0006
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- Validation Loss: 0.0018
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  --------------------------------------------------
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  Epoch 27
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- Validation Accuracy: 0.9996
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- Training Loss: 0.0010
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- Validation Loss: 0.0015
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  --------------------------------------------------
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  Epoch 28
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- Validation Accuracy: 0.9994
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- Training Loss: 0.0006
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- Validation Loss: 0.0020
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  --------------------------------------------------
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  Epoch 29
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- Validation Accuracy: 0.9996
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- Training Loss: 0.0006
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- Validation Loss: 0.0015
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  --------------------------------------------------
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  Epoch 30
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- Validation Accuracy: 0.9996
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- Training Loss: 0.0006
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- Validation Loss: 0.0016
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  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
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5
+ Validation Accuracy: 0.9956
6
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7
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  --------------------------------------------------
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  Epoch 2
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  --------------------------------------------------
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  Epoch 3
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18
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20
  --------------------------------------------------
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  Epoch 4
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24
+ Training Loss: 0.0144
25
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  --------------------------------------------------
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  Epoch 5
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29
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30
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31
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  --------------------------------------------------
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  Epoch 6
34
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35
  Validation Accuracy: 0.9982
36
+ Training Loss: 0.0102
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38
  --------------------------------------------------
39
  Epoch 7
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+ Training Loss: 0.0090
43
  Validation Loss: 0.0045
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  --------------------------------------------------
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  Epoch 8
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+ Training Loss: 0.0081
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+ Validation Loss: 0.0040
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  --------------------------------------------------
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  Epoch 9
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  --------------------------------------------------
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  Epoch 10
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+ Validation Accuracy: 0.9986
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  --------------------------------------------------
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  Epoch 11
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+ Training Loss: 0.0059
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  --------------------------------------------------
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  Epoch 12
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+ Training Loss: 0.0059
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+ Validation Loss: 0.0031
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  --------------------------------------------------
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  Epoch 13
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  --------------------------------------------------
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  Epoch 14
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  Validation Loss: 0.0029
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  --------------------------------------------------
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  Epoch 15
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  --------------------------------------------------
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  Epoch 16
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  --------------------------------------------------
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  Epoch 17
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  Validation Accuracy: 0.9990
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  --------------------------------------------------
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  --------------------------------------------------
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  Epoch 19
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+ Validation Accuracy: 0.9992
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+ Training Loss: 0.0037
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+ Validation Loss: 0.0027
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  --------------------------------------------------
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  Epoch 20
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+ Validation Accuracy: 0.9992
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+ Training Loss: 0.0042
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  Validation Loss: 0.0019
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  --------------------------------------------------
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  Epoch 21
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+ Validation Accuracy: 0.9992
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+ Training Loss: 0.0040
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  --------------------------------------------------
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  Epoch 22
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  Validation Accuracy: 0.9992
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+ Training Loss: 0.0032
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+ Validation Loss: 0.0016
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  --------------------------------------------------
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  Epoch 23
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+ Validation Accuracy: 0.9992
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+ Training Loss: 0.0032
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  --------------------------------------------------
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  --------------------------------------------------
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  --------------------------------------------------
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+ Training Loss: 0.0028
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+ Validation Loss: 0.0014
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  --------------------------------------------------
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+ Validation Accuracy: 0.9993
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+ Training Loss: 0.0032
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  --------------------------------------------------
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+ Validation Accuracy: 0.9993
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+ Validation Loss: 0.0019
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  --------------------------------------------------
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  Epoch 29
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+ Validation Accuracy: 0.9994
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+ Validation Loss: 0.0019
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  --------------------------------------------------
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  Epoch 30
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179
+ Validation Accuracy: 0.9994
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+ Training Loss: 0.0035
181
+ Validation Loss: 0.0012
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  --------------------------------------------------
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