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  1. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/HELMINTHS_BINARY_EfficientNetB0_Round1.keras +1 -1
  2. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/classification_metrics.txt +9 -9
  3. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/confusion_matrix.png +0 -0
  4. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/roc_curve.png +0 -0
  5. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/testing_metrics.txt +2 -2
  6. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/training_accuracy.png +0 -0
  7. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/training_loss.png +0 -0
  8. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/training_validation_metrics.txt +111 -111
  9. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/HELMINTHS_BINARY_EfficientNetB0_Round2.keras +1 -1
  10. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/classification_metrics.txt +1 -1
  11. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/confusion_matrix.png +0 -0
  12. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/roc_curve.png +0 -0
  13. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/testing_metrics.txt +1 -1
  14. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/training_accuracy.png +0 -0
  15. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/training_loss.png +0 -0
  16. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/training_validation_metrics.txt +118 -118
  17. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/HELMINTHS_BINARY_EfficientNetB0_Round3.keras +1 -1
  18. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/classification_metrics.txt +1 -1
  19. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/confusion_matrix.png +0 -0
  20. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/roc_curve.png +0 -0
  21. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/testing_metrics.txt +1 -1
  22. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/training_accuracy.png +0 -0
  23. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/training_loss.png +0 -0
  24. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/training_validation_metrics.txt +116 -116
  25. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/HELMINTHS_BINARY_EfficientNetB0_Round4.keras +1 -1
  26. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/classification_metrics.txt +1 -1
  27. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/confusion_matrix.png +0 -0
  28. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/roc_curve.png +0 -0
  29. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/testing_metrics.txt +1 -1
  30. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/training_accuracy.png +0 -0
  31. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/training_loss.png +0 -0
  32. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/training_validation_metrics.txt +110 -110
  33. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/HELMINTHS_BINARY_EfficientNetB0_Round5.keras +1 -1
  34. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/classification_metrics.txt +1 -1
  35. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/confusion_matrix.png +0 -0
  36. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/roc_curve.png +0 -0
  37. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/testing_metrics.txt +1 -1
  38. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/training_accuracy.png +0 -0
  39. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/training_loss.png +0 -0
  40. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/training_validation_metrics.txt +118 -118
  41. ResNet50/HELMINTHS_BINARY_ResNet50_Round1/HELMINTHS_BINARY_ResNet50_Round1.keras +1 -1
  42. ResNet50/HELMINTHS_BINARY_ResNet50_Round1/classification_metrics.txt +9 -9
  43. ResNet50/HELMINTHS_BINARY_ResNet50_Round1/confusion_matrix.png +0 -0
  44. ResNet50/HELMINTHS_BINARY_ResNet50_Round1/roc_curve.png +0 -0
  45. ResNet50/HELMINTHS_BINARY_ResNet50_Round1/testing_metrics.txt +2 -2
  46. ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_accuracy.png +0 -0
  47. ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_loss.png +0 -0
  48. ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_validation_metrics.txt +102 -102
  49. ResNet50/HELMINTHS_BINARY_ResNet50_Round2/HELMINTHS_BINARY_ResNet50_Round2.keras +1 -1
  50. ResNet50/HELMINTHS_BINARY_ResNet50_Round2/classification_metrics.txt +1 -1
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- Precision: 1.0000
2
  Recall: 1.0000
3
  Sensitivity: 1.0000
4
- Specificity: 1.0000
5
- F1-Score: 1.0000
6
  AUC: 1.0000
7
- MCC: 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
12
- F0.5-Score: 1.0000
 
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9
+ Balanced Accuracy: 0.9996
10
+ Jaccard Index: 0.9992
11
+ Log Loss: 0.0007
12
+ F0.5-Score: 0.9994
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EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/roc_curve.png CHANGED
EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/testing_metrics.txt CHANGED
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- accuracy: 1.0000
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3
- loss: 0.0000
 
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EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/training_validation_metrics.txt CHANGED
@@ -1,182 +1,182 @@
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9870
5
- Validation Accuracy: 0.9996
6
- Training Loss: 0.0417
7
- Validation Loss: 0.0045
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9991
11
- Validation Accuracy: 0.9996
12
- Training Loss: 0.0058
13
- Validation Loss: 0.0021
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9996
17
- Validation Accuracy: 0.9994
18
- Training Loss: 0.0027
19
- Validation Loss: 0.0025
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9999
23
- Validation Accuracy: 0.9996
24
- Training Loss: 0.0016
25
- Validation Loss: 0.0018
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9997
29
- Validation Accuracy: 1.0000
30
- Training Loss: 0.0015
31
- Validation Loss: 0.0005
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9998
35
- Validation Accuracy: 0.9997
36
- Training Loss: 0.0010
37
- Validation Loss: 0.0009
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9997
41
- Validation Accuracy: 0.9996
42
- Training Loss: 0.0009
43
- Validation Loss: 0.0016
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9999
47
  Validation Accuracy: 0.9996
48
- Training Loss: 0.0007
49
- Validation Loss: 0.0007
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9999
53
  Validation Accuracy: 0.9996
54
- Training Loss: 0.0006
55
- Validation Loss: 0.0009
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9999
59
  Validation Accuracy: 0.9996
60
- Training Loss: 0.0006
61
- Validation Loss: 0.0007
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9999
65
- Validation Accuracy: 0.9994
66
- Training Loss: 0.0004
67
- Validation Loss: 0.0018
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9998
71
  Validation Accuracy: 0.9996
72
- Training Loss: 0.0006
73
- Validation Loss: 0.0010
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9999
77
- Validation Accuracy: 0.9997
78
- Training Loss: 0.0005
79
- Validation Loss: 0.0006
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9999
83
- Validation Accuracy: 0.9999
84
- Training Loss: 0.0003
85
- Validation Loss: 0.0002
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9999
89
- Validation Accuracy: 1.0000
90
- Training Loss: 0.0004
91
- Validation Loss: 0.0002
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9999
95
- Validation Accuracy: 0.9995
96
- Training Loss: 0.0005
97
- Validation Loss: 0.0013
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 0.9999
101
- Validation Accuracy: 1.0000
102
- Training Loss: 0.0004
103
- Validation Loss: 0.0003
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 1.0000
107
- Validation Accuracy: 1.0000
108
- Training Loss: 0.0002
109
- Validation Loss: 0.0002
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 0.9998
113
  Validation Accuracy: 0.9996
114
- Training Loss: 0.0005
115
- Validation Loss: 0.0009
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 0.9999
119
- Validation Accuracy: 0.9996
120
- Training Loss: 0.0004
121
- Validation Loss: 0.0008
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 1.0000
125
- Validation Accuracy: 0.9999
126
- Training Loss: 0.0001
127
- Validation Loss: 0.0003
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 1.0000
131
- Validation Accuracy: 0.9997
132
- Training Loss: 0.0001
133
- Validation Loss: 0.0005
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 1.0000
137
- Validation Accuracy: 0.9997
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: 0.0010
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 0.9999
149
- Validation Accuracy: 0.9997
150
- Training Loss: 0.0002
151
- Validation Loss: 0.0004
152
  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 1.0000
155
- Validation Accuracy: 0.9995
156
- Training Loss: 0.0001
157
- Validation Loss: 0.0016
158
  --------------------------------------------------
159
  Epoch 27
160
- Training Accuracy: 0.9998
161
  Validation Accuracy: 0.9996
162
- Training Loss: 0.0003
163
  Validation Loss: 0.0009
164
  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 0.9999
167
- Validation Accuracy: 0.9999
168
- Training Loss: 0.0003
169
- Validation Loss: 0.0003
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 0.9999
173
- Validation Accuracy: 0.9997
174
- Training Loss: 0.0003
175
- Validation Loss: 0.0006
176
  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 0.9999
179
- Validation Accuracy: 0.9999
180
- Training Loss: 0.0002
181
- Validation Loss: 0.0006
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9734
5
+ Validation Accuracy: 0.9963
6
+ Training Loss: 0.0851
7
+ Validation Loss: 0.0189
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9955
11
+ Validation Accuracy: 0.9979
12
+ Training Loss: 0.0184
13
+ Validation Loss: 0.0094
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9976
17
+ Validation Accuracy: 0.9985
18
+ Training Loss: 0.0103
19
+ Validation Loss: 0.0057
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9982
23
+ Validation Accuracy: 0.9992
24
+ Training Loss: 0.0080
25
+ Validation Loss: 0.0039
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9988
29
+ Validation Accuracy: 0.9986
30
+ Training Loss: 0.0053
31
+ Validation Loss: 0.0039
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9992
35
+ Validation Accuracy: 0.9996
36
+ Training Loss: 0.0044
37
+ Validation Loss: 0.0025
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9990
41
+ Validation Accuracy: 0.9990
42
+ Training Loss: 0.0041
43
+ Validation Loss: 0.0039
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9993
47
  Validation Accuracy: 0.9996
48
+ Training Loss: 0.0033
49
+ Validation Loss: 0.0022
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9991
53
  Validation Accuracy: 0.9996
54
+ Training Loss: 0.0029
55
+ Validation Loss: 0.0020
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9994
59
  Validation Accuracy: 0.9996
60
+ Training Loss: 0.0023
61
+ Validation Loss: 0.0017
62
  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 0.9994
65
+ Validation Accuracy: 0.9996
66
+ Training Loss: 0.0024
67
+ Validation Loss: 0.0023
68
  --------------------------------------------------
69
  Epoch 12
70
+ Training Accuracy: 0.9994
71
  Validation Accuracy: 0.9996
72
+ Training Loss: 0.0024
73
+ Validation Loss: 0.0019
74
  --------------------------------------------------
75
  Epoch 13
76
+ Training Accuracy: 0.9996
77
+ Validation Accuracy: 0.9994
78
+ Training Loss: 0.0015
79
+ Validation Loss: 0.0016
80
  --------------------------------------------------
81
  Epoch 14
82
+ Training Accuracy: 0.9995
83
+ Validation Accuracy: 0.9996
84
+ Training Loss: 0.0016
85
+ Validation Loss: 0.0014
86
  --------------------------------------------------
87
  Epoch 15
88
+ Training Accuracy: 0.9994
89
+ Validation Accuracy: 0.9994
90
+ Training Loss: 0.0016
91
+ Validation Loss: 0.0015
92
  --------------------------------------------------
93
  Epoch 16
94
+ Training Accuracy: 0.9995
95
+ Validation Accuracy: 0.9996
96
+ Training Loss: 0.0015
97
+ Validation Loss: 0.0012
98
  --------------------------------------------------
99
  Epoch 17
100
+ Training Accuracy: 0.9995
101
+ Validation Accuracy: 0.9996
102
+ Training Loss: 0.0014
103
+ Validation Loss: 0.0022
104
  --------------------------------------------------
105
  Epoch 18
106
+ Training Accuracy: 0.9996
107
+ Validation Accuracy: 0.9994
108
+ Training Loss: 0.0016
109
+ Validation Loss: 0.0014
110
  --------------------------------------------------
111
  Epoch 19
112
+ Training Accuracy: 0.9996
113
  Validation Accuracy: 0.9996
114
+ Training Loss: 0.0012
115
+ Validation Loss: 0.0013
116
  --------------------------------------------------
117
  Epoch 20
118
+ Training Accuracy: 0.9996
119
+ Validation Accuracy: 0.9994
120
+ Training Loss: 0.0014
121
+ Validation Loss: 0.0016
122
  --------------------------------------------------
123
  Epoch 21
124
+ Training Accuracy: 0.9999
125
+ Validation Accuracy: 0.9996
126
+ Training Loss: 0.0007
127
+ Validation Loss: 0.0012
128
  --------------------------------------------------
129
  Epoch 22
130
+ Training Accuracy: 0.9997
131
+ Validation Accuracy: 0.9996
132
+ Training Loss: 0.0009
133
+ Validation Loss: 0.0008
134
  --------------------------------------------------
135
  Epoch 23
136
+ Training Accuracy: 0.9996
137
+ Validation Accuracy: 0.9994
138
+ Training Loss: 0.0013
139
+ Validation Loss: 0.0015
140
  --------------------------------------------------
141
  Epoch 24
142
+ Training Accuracy: 0.9998
143
  Validation Accuracy: 0.9996
144
+ Training Loss: 0.0010
145
+ Validation Loss: 0.0013
146
  --------------------------------------------------
147
  Epoch 25
148
+ Training Accuracy: 0.9996
149
+ Validation Accuracy: 0.9994
150
+ Training Loss: 0.0012
151
+ Validation Loss: 0.0010
152
  --------------------------------------------------
153
  Epoch 26
154
+ Training Accuracy: 0.9998
155
+ Validation Accuracy: 0.9996
156
+ Training Loss: 0.0007
157
+ Validation Loss: 0.0013
158
  --------------------------------------------------
159
  Epoch 27
160
+ Training Accuracy: 0.9996
161
  Validation Accuracy: 0.9996
162
+ Training Loss: 0.0012
163
  Validation Loss: 0.0009
164
  --------------------------------------------------
165
  Epoch 28
166
+ Training Accuracy: 0.9998
167
+ Validation Accuracy: 0.9994
168
+ Training Loss: 0.0008
169
+ Validation Loss: 0.0012
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 0.9999
173
+ Validation Accuracy: 0.9996
174
+ Training Loss: 0.0005
175
+ Validation Loss: 0.0010
176
  --------------------------------------------------
177
  Epoch 30
178
+ Training Accuracy: 0.9998
179
+ Validation Accuracy: 0.9994
180
+ Training Loss: 0.0008
181
+ Validation Loss: 0.0018
182
  --------------------------------------------------
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  Jaccard Index: 1.0000
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  Jaccard Index: 1.0000
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EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/testing_metrics.txt CHANGED
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EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/training_validation_metrics.txt CHANGED
@@ -1,182 +1,182 @@
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9859
5
- Validation Accuracy: 0.9991
6
- Training Loss: 0.0462
7
- Validation Loss: 0.0062
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9987
11
- Validation Accuracy: 0.9999
12
- Training Loss: 0.0062
13
- Validation Loss: 0.0020
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9994
17
- Validation Accuracy: 0.9999
18
- Training Loss: 0.0033
19
- Validation Loss: 0.0013
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9996
23
- Validation Accuracy: 1.0000
24
- Training Loss: 0.0023
25
- Validation Loss: 0.0007
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9997
29
- Validation Accuracy: 0.9996
30
- Training Loss: 0.0014
31
- Validation Loss: 0.0013
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9997
35
- Validation Accuracy: 0.9997
36
- Training Loss: 0.0011
37
- Validation Loss: 0.0008
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9996
41
- Validation Accuracy: 0.9997
42
- Training Loss: 0.0013
43
- Validation Loss: 0.0009
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9999
47
- Validation Accuracy: 0.9997
48
- Training Loss: 0.0007
49
- Validation Loss: 0.0006
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 1.0000
53
- Validation Accuracy: 0.9999
54
- Training Loss: 0.0004
55
- Validation Loss: 0.0004
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9999
59
- Validation Accuracy: 0.9996
60
- Training Loss: 0.0004
61
- Validation Loss: 0.0008
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9999
65
- Validation Accuracy: 0.9997
66
- Training Loss: 0.0005
67
- Validation Loss: 0.0005
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9999
71
- Validation Accuracy: 0.9996
72
- Training Loss: 0.0004
73
- Validation Loss: 0.0013
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9999
77
- Validation Accuracy: 0.9997
78
- Training Loss: 0.0005
79
- Validation Loss: 0.0004
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 1.0000
83
- Validation Accuracy: 0.9997
84
- Training Loss: 0.0002
85
- Validation Loss: 0.0009
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 1.0000
89
- Validation Accuracy: 1.0000
90
- Training Loss: 0.0001
91
- Validation Loss: 0.0002
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9999
95
- Validation Accuracy: 0.9991
96
- Training Loss: 0.0002
97
- Validation Loss: 0.0024
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 0.9998
101
- Validation Accuracy: 0.9997
102
- Training Loss: 0.0007
103
- Validation Loss: 0.0007
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 0.9999
107
- Validation Accuracy: 0.9997
108
- Training Loss: 0.0002
109
- Validation Loss: 0.0004
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 1.0000
113
- Validation Accuracy: 0.9997
114
- Training Loss: 0.0002
115
- Validation Loss: 0.0012
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 1.0000
119
- Validation Accuracy: 0.9997
120
- Training Loss: 0.0001
121
- Validation Loss: 0.0009
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 0.9999
125
- Validation Accuracy: 0.9997
126
- Training Loss: 0.0002
127
- Validation Loss: 0.0004
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9999
131
- Validation Accuracy: 1.0000
132
- Training Loss: 0.0005
133
- Validation Loss: 0.0001
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 1.0000
137
- Validation Accuracy: 0.9997
138
- Training Loss: 0.0001
139
- Validation Loss: 0.0004
140
  --------------------------------------------------
141
  Epoch 24
142
- Training Accuracy: 0.9999
143
- Validation Accuracy: 0.9997
144
- Training Loss: 0.0004
145
- Validation Loss: 0.0004
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 1.0000
149
- Validation Accuracy: 0.9997
150
- Training Loss: 0.0003
151
- Validation Loss: 0.0008
152
  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 1.0000
155
- Validation Accuracy: 1.0000
156
- Training Loss: 0.0001
157
- Validation Loss: 0.0001
158
  --------------------------------------------------
159
  Epoch 27
160
- Training Accuracy: 0.9999
161
- Validation Accuracy: 0.9999
162
- Training Loss: 0.0003
163
- Validation Loss: 0.0002
164
  --------------------------------------------------
165
  Epoch 28
166
  Training Accuracy: 0.9998
167
- Validation Accuracy: 0.9999
168
- Training Loss: 0.0004
169
- Validation Loss: 0.0003
170
  --------------------------------------------------
171
  Epoch 29
172
- Training Accuracy: 1.0000
173
- Validation Accuracy: 0.9997
174
- Training Loss: 0.0001
175
- Validation Loss: 0.0003
176
  --------------------------------------------------
177
  Epoch 30
178
  Training Accuracy: 1.0000
179
- Validation Accuracy: 0.9997
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: 0.9702
5
+ Validation Accuracy: 0.9965
6
+ Training Loss: 0.0894
7
+ Validation Loss: 0.0201
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9962
11
+ Validation Accuracy: 0.9977
12
+ Training Loss: 0.0175
13
+ Validation Loss: 0.0089
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9976
17
+ Validation Accuracy: 0.9986
18
+ Training Loss: 0.0105
19
+ Validation Loss: 0.0056
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9981
23
+ Validation Accuracy: 0.9990
24
+ Training Loss: 0.0075
25
+ Validation Loss: 0.0041
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9987
29
+ Validation Accuracy: 0.9986
30
+ Training Loss: 0.0053
31
+ Validation Loss: 0.0043
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9985
35
+ Validation Accuracy: 0.9994
36
+ Training Loss: 0.0045
37
+ Validation Loss: 0.0026
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9994
41
+ Validation Accuracy: 0.9998
42
+ Training Loss: 0.0030
43
+ Validation Loss: 0.0021
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9991
47
+ Validation Accuracy: 0.9996
48
+ Training Loss: 0.0033
49
+ Validation Loss: 0.0019
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9993
53
+ Validation Accuracy: 0.9996
54
+ Training Loss: 0.0022
55
+ Validation Loss: 0.0017
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9991
59
+ Validation Accuracy: 0.9994
60
+ Training Loss: 0.0025
61
+ Validation Loss: 0.0016
62
  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 0.9994
65
+ Validation Accuracy: 0.9992
66
+ Training Loss: 0.0021
67
+ Validation Loss: 0.0016
68
  --------------------------------------------------
69
  Epoch 12
70
+ Training Accuracy: 0.9991
71
+ Validation Accuracy: 0.9994
72
+ Training Loss: 0.0031
73
+ Validation Loss: 0.0016
74
  --------------------------------------------------
75
  Epoch 13
76
+ Training Accuracy: 0.9996
77
+ Validation Accuracy: 0.9994
78
+ Training Loss: 0.0015
79
+ Validation Loss: 0.0017
80
  --------------------------------------------------
81
  Epoch 14
82
+ Training Accuracy: 0.9997
83
+ Validation Accuracy: 0.9996
84
+ Training Loss: 0.0016
85
+ Validation Loss: 0.0015
86
  --------------------------------------------------
87
  Epoch 15
88
+ Training Accuracy: 0.9994
89
+ Validation Accuracy: 0.9994
90
+ Training Loss: 0.0018
91
+ Validation Loss: 0.0015
92
  --------------------------------------------------
93
  Epoch 16
94
+ Training Accuracy: 0.9993
95
+ Validation Accuracy: 0.9996
96
+ Training Loss: 0.0015
97
+ Validation Loss: 0.0011
98
  --------------------------------------------------
99
  Epoch 17
100
+ Training Accuracy: 0.9992
101
+ Validation Accuracy: 0.9994
102
+ Training Loss: 0.0017
103
+ Validation Loss: 0.0012
104
  --------------------------------------------------
105
  Epoch 18
106
+ Training Accuracy: 0.9996
107
+ Validation Accuracy: 0.9996
108
+ Training Loss: 0.0016
109
+ Validation Loss: 0.0012
110
  --------------------------------------------------
111
  Epoch 19
112
+ Training Accuracy: 0.9996
113
+ Validation Accuracy: 0.9990
114
+ Training Loss: 0.0014
115
+ Validation Loss: 0.0016
116
  --------------------------------------------------
117
  Epoch 20
118
+ Training Accuracy: 0.9997
119
+ Validation Accuracy: 0.9994
120
+ Training Loss: 0.0013
121
+ Validation Loss: 0.0012
122
  --------------------------------------------------
123
  Epoch 21
124
+ Training Accuracy: 0.9993
125
+ Validation Accuracy: 0.9994
126
+ Training Loss: 0.0017
127
+ Validation Loss: 0.0014
128
  --------------------------------------------------
129
  Epoch 22
130
+ Training Accuracy: 0.9998
131
+ Validation Accuracy: 0.9996
132
+ Training Loss: 0.0010
133
+ Validation Loss: 0.0012
134
  --------------------------------------------------
135
  Epoch 23
136
+ Training Accuracy: 0.9997
137
+ Validation Accuracy: 0.9996
138
+ Training Loss: 0.0010
139
+ Validation Loss: 0.0012
140
  --------------------------------------------------
141
  Epoch 24
142
+ Training Accuracy: 0.9997
143
+ Validation Accuracy: 0.9996
144
+ Training Loss: 0.0009
145
+ Validation Loss: 0.0012
146
  --------------------------------------------------
147
  Epoch 25
148
+ Training Accuracy: 0.9996
149
+ Validation Accuracy: 0.9994
150
+ Training Loss: 0.0013
151
+ Validation Loss: 0.0012
152
  --------------------------------------------------
153
  Epoch 26
154
+ Training Accuracy: 0.9997
155
+ Validation Accuracy: 0.9996
156
+ Training Loss: 0.0011
157
+ Validation Loss: 0.0012
158
  --------------------------------------------------
159
  Epoch 27
160
+ Training Accuracy: 0.9997
161
+ Validation Accuracy: 0.9996
162
+ Training Loss: 0.0011
163
+ Validation Loss: 0.0010
164
  --------------------------------------------------
165
  Epoch 28
166
  Training Accuracy: 0.9998
167
+ Validation Accuracy: 0.9994
168
+ Training Loss: 0.0012
169
+ Validation Loss: 0.0012
170
  --------------------------------------------------
171
  Epoch 29
172
+ Training Accuracy: 0.9998
173
+ Validation Accuracy: 0.9996
174
+ Training Loss: 0.0007
175
+ Validation Loss: 0.0012
176
  --------------------------------------------------
177
  Epoch 30
178
  Training Accuracy: 1.0000
179
+ Validation Accuracy: 0.9996
180
+ Training Loss: 0.0005
181
+ Validation Loss: 0.0012
182
  --------------------------------------------------
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9
  Balanced Accuracy: 1.0000
10
  Jaccard Index: 1.0000
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  F0.5-Score: 1.0000
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9855
5
- Validation Accuracy: 0.9994
6
- Training Loss: 0.0463
7
- Validation Loss: 0.0059
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9987
11
- Validation Accuracy: 0.9997
12
- Training Loss: 0.0062
13
- Validation Loss: 0.0026
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9992
17
- Validation Accuracy: 0.9996
18
- Training Loss: 0.0032
19
- Validation Loss: 0.0020
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9997
23
- Validation Accuracy: 0.9996
24
- Training Loss: 0.0020
25
- Validation Loss: 0.0015
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9997
29
- Validation Accuracy: 0.9996
30
- Training Loss: 0.0014
31
- Validation Loss: 0.0012
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9998
35
- Validation Accuracy: 0.9996
36
- Training Loss: 0.0010
37
- Validation Loss: 0.0011
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9997
41
  Validation Accuracy: 0.9996
42
- Training Loss: 0.0010
43
- Validation Loss: 0.0015
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9999
47
- Validation Accuracy: 1.0000
48
- Training Loss: 0.0006
49
- Validation Loss: 0.0005
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9999
53
- Validation Accuracy: 0.9999
54
- Training Loss: 0.0005
55
- Validation Loss: 0.0005
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9999
59
  Validation Accuracy: 0.9996
60
- Training Loss: 0.0005
61
- Validation Loss: 0.0010
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9999
65
- Validation Accuracy: 0.9990
66
- Training Loss: 0.0005
67
- Validation Loss: 0.0037
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9999
71
- Validation Accuracy: 0.9999
72
- Training Loss: 0.0005
73
- Validation Loss: 0.0004
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9999
77
- Validation Accuracy: 0.9997
78
- Training Loss: 0.0005
79
- Validation Loss: 0.0007
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9999
83
- Validation Accuracy: 0.9999
84
- Training Loss: 0.0004
85
- Validation Loss: 0.0007
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9999
89
- Validation Accuracy: 1.0000
90
- Training Loss: 0.0004
91
- Validation Loss: 0.0002
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9999
95
- Validation Accuracy: 0.9999
96
- Training Loss: 0.0003
97
- Validation Loss: 0.0004
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 1.0000
101
- Validation Accuracy: 0.9997
102
- Training Loss: 0.0002
103
- Validation Loss: 0.0007
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 1.0000
107
- Validation Accuracy: 0.9995
108
- Training Loss: 0.0002
109
  Validation Loss: 0.0011
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 1.0000
113
- Validation Accuracy: 0.9997
114
- Training Loss: 0.0002
115
- Validation Loss: 0.0004
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 0.9998
119
- Validation Accuracy: 0.9997
120
- Training Loss: 0.0006
121
- Validation Loss: 0.0004
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 1.0000
125
- Validation Accuracy: 0.9999
126
- Training Loss: 0.0001
127
- Validation Loss: 0.0003
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9999
131
- Validation Accuracy: 0.9997
132
- Training Loss: 0.0003
133
- Validation Loss: 0.0010
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 1.0000
137
  Validation Accuracy: 0.9996
138
- Training Loss: 0.0002
139
- Validation Loss: 0.0010
140
  --------------------------------------------------
141
  Epoch 24
142
- Training Accuracy: 1.0000
143
- Validation Accuracy: 0.9996
144
- Training Loss: 0.0001
145
- Validation Loss: 0.0013
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 0.9999
149
- Validation Accuracy: 1.0000
150
- Training Loss: 0.0003
151
- Validation Loss: 0.0002
152
  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 1.0000
155
- Validation Accuracy: 0.9996
156
- Training Loss: 0.0000
157
- Validation Loss: 0.0013
158
  --------------------------------------------------
159
  Epoch 27
160
- Training Accuracy: 0.9999
161
- Validation Accuracy: 0.9999
162
- Training Loss: 0.0004
163
- Validation Loss: 0.0004
164
  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 0.9999
167
- Validation Accuracy: 0.9997
168
- Training Loss: 0.0003
169
- Validation Loss: 0.0004
170
  --------------------------------------------------
171
  Epoch 29
172
- Training Accuracy: 1.0000
173
- Validation Accuracy: 0.9999
174
- Training Loss: 0.0000
175
- Validation Loss: 0.0003
176
  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 0.9999
179
- Validation Accuracy: 0.9997
180
- Training Loss: 0.0002
181
- Validation Loss: 0.0004
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9718
5
+ Validation Accuracy: 0.9961
6
+ Training Loss: 0.0905
7
+ Validation Loss: 0.0201
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9960
11
+ Validation Accuracy: 0.9979
12
+ Training Loss: 0.0177
13
+ Validation Loss: 0.0084
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9973
17
+ Validation Accuracy: 0.9992
18
+ Training Loss: 0.0106
19
+ Validation Loss: 0.0053
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9985
23
+ Validation Accuracy: 0.9990
24
+ Training Loss: 0.0066
25
+ Validation Loss: 0.0040
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9987
29
+ Validation Accuracy: 0.9992
30
+ Training Loss: 0.0053
31
+ Validation Loss: 0.0032
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9982
35
+ Validation Accuracy: 0.9994
36
+ Training Loss: 0.0052
37
+ Validation Loss: 0.0028
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9988
41
  Validation Accuracy: 0.9996
42
+ Training Loss: 0.0045
43
+ Validation Loss: 0.0023
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9992
47
+ Validation Accuracy: 0.9996
48
+ Training Loss: 0.0032
49
+ Validation Loss: 0.0018
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9994
53
+ Validation Accuracy: 0.9996
54
+ Training Loss: 0.0025
55
+ Validation Loss: 0.0016
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9992
59
  Validation Accuracy: 0.9996
60
+ Training Loss: 0.0027
61
+ Validation Loss: 0.0015
62
  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 0.9994
65
+ Validation Accuracy: 0.9996
66
+ Training Loss: 0.0023
67
+ Validation Loss: 0.0014
68
  --------------------------------------------------
69
  Epoch 12
70
+ Training Accuracy: 0.9993
71
+ Validation Accuracy: 0.9998
72
+ Training Loss: 0.0023
73
+ Validation Loss: 0.0015
74
  --------------------------------------------------
75
  Epoch 13
76
+ Training Accuracy: 0.9994
77
+ Validation Accuracy: 0.9996
78
+ Training Loss: 0.0019
79
+ Validation Loss: 0.0013
80
  --------------------------------------------------
81
  Epoch 14
82
+ Training Accuracy: 0.9996
83
+ Validation Accuracy: 0.9994
84
+ Training Loss: 0.0016
85
+ Validation Loss: 0.0014
86
  --------------------------------------------------
87
  Epoch 15
88
+ Training Accuracy: 0.9996
89
+ Validation Accuracy: 0.9994
90
+ Training Loss: 0.0015
91
+ Validation Loss: 0.0017
92
  --------------------------------------------------
93
  Epoch 16
94
+ Training Accuracy: 0.9996
95
+ Validation Accuracy: 0.9994
96
+ Training Loss: 0.0015
97
+ Validation Loss: 0.0015
98
  --------------------------------------------------
99
  Epoch 17
100
+ Training Accuracy: 0.9995
101
+ Validation Accuracy: 0.9992
102
+ Training Loss: 0.0016
103
+ Validation Loss: 0.0015
104
  --------------------------------------------------
105
  Epoch 18
106
+ Training Accuracy: 0.9996
107
+ Validation Accuracy: 0.9998
108
+ Training Loss: 0.0012
109
  Validation Loss: 0.0011
110
  --------------------------------------------------
111
  Epoch 19
112
+ Training Accuracy: 0.9998
113
+ Validation Accuracy: 0.9994
114
+ Training Loss: 0.0012
115
+ Validation Loss: 0.0015
116
  --------------------------------------------------
117
  Epoch 20
118
+ Training Accuracy: 0.9996
119
+ Validation Accuracy: 0.9994
120
+ Training Loss: 0.0013
121
+ Validation Loss: 0.0013
122
  --------------------------------------------------
123
  Epoch 21
124
+ Training Accuracy: 0.9997
125
+ Validation Accuracy: 0.9994
126
+ Training Loss: 0.0013
127
+ Validation Loss: 0.0019
128
  --------------------------------------------------
129
  Epoch 22
130
+ Training Accuracy: 0.9998
131
+ Validation Accuracy: 0.9990
132
+ Training Loss: 0.0014
133
+ Validation Loss: 0.0015
134
  --------------------------------------------------
135
  Epoch 23
136
+ Training Accuracy: 0.9997
137
  Validation Accuracy: 0.9996
138
+ Training Loss: 0.0012
139
+ Validation Loss: 0.0009
140
  --------------------------------------------------
141
  Epoch 24
142
+ Training Accuracy: 0.9999
143
+ Validation Accuracy: 0.9998
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  --------------------------------------------------
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  Epoch 25
148
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+ Validation Accuracy: 0.9994
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+ Training Loss: 0.0010
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+ Validation Loss: 0.0013
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  --------------------------------------------------
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  Epoch 26
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+ Validation Accuracy: 0.9992
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+ Training Loss: 0.0009
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+ Validation Loss: 0.0014
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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: 0.0010
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+ Validation Loss: 0.0008
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  --------------------------------------------------
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  Epoch 28
166
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0009
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+ Validation Loss: 0.0014
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  --------------------------------------------------
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  Epoch 29
172
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0013
175
+ Validation Loss: 0.0007
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  --------------------------------------------------
177
  Epoch 30
178
+ Training Accuracy: 0.9998
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+ Validation Accuracy: 0.9994
180
+ Training Loss: 0.0006
181
+ Validation Loss: 0.0008
182
  --------------------------------------------------
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  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9855
5
- Validation Accuracy: 0.9991
6
- Training Loss: 0.0454
7
- Validation Loss: 0.0058
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  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9991
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- Validation Accuracy: 0.9995
12
- Training Loss: 0.0053
13
- Validation Loss: 0.0032
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9994
17
- Validation Accuracy: 0.9996
18
- Training Loss: 0.0033
19
- Validation Loss: 0.0020
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9998
23
- Validation Accuracy: 0.9991
24
- Training Loss: 0.0016
25
- Validation Loss: 0.0028
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9998
29
- Validation Accuracy: 0.9996
30
- Training Loss: 0.0015
31
- Validation Loss: 0.0012
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9997
35
- Validation Accuracy: 0.9996
36
- Training Loss: 0.0013
37
- Validation Loss: 0.0015
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9999
41
  Validation Accuracy: 0.9996
42
- Training Loss: 0.0009
43
- Validation Loss: 0.0011
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9998
47
- Validation Accuracy: 0.9999
48
- Training Loss: 0.0009
49
- Validation Loss: 0.0004
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9999
53
  Validation Accuracy: 0.9996
54
- Training Loss: 0.0005
55
- Validation Loss: 0.0010
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9998
59
  Validation Accuracy: 0.9996
60
- Training Loss: 0.0007
61
- Validation Loss: 0.0012
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9999
65
- Validation Accuracy: 0.9996
66
- Training Loss: 0.0004
67
- Validation Loss: 0.0013
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 1.0000
71
- Validation Accuracy: 0.9996
72
- Training Loss: 0.0004
73
- Validation Loss: 0.0006
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9999
77
  Validation Accuracy: 0.9996
78
- Training Loss: 0.0006
79
- Validation Loss: 0.0014
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9998
83
- Validation Accuracy: 0.9995
84
- Training Loss: 0.0006
85
- Validation Loss: 0.0019
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9999
89
- Validation Accuracy: 0.9986
90
- Training Loss: 0.0002
91
- Validation Loss: 0.0044
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9999
95
- Validation Accuracy: 0.9997
96
- Training Loss: 0.0002
97
- Validation Loss: 0.0005
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 0.9998
101
  Validation Accuracy: 0.9996
102
- Training Loss: 0.0004
103
- Validation Loss: 0.0010
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 1.0000
107
- Validation Accuracy: 0.9990
108
- Training Loss: 0.0003
109
- Validation Loss: 0.0026
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 0.9999
113
- Validation Accuracy: 0.9995
114
- Training Loss: 0.0002
115
- Validation Loss: 0.0015
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 0.9999
119
- Validation Accuracy: 0.9997
120
- Training Loss: 0.0003
121
  Validation Loss: 0.0008
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 0.9999
125
- Validation Accuracy: 0.9997
126
- Training Loss: 0.0004
127
  Validation Loss: 0.0010
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9999
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- Validation Accuracy: 0.9997
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- Training Loss: 0.0002
133
- Validation Loss: 0.0008
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  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 1.0000
137
- Validation Accuracy: 0.9997
138
- Training Loss: 0.0002
139
- Validation Loss: 0.0010
140
  --------------------------------------------------
141
  Epoch 24
142
- Training Accuracy: 1.0000
143
- Validation Accuracy: 0.9997
144
- Training Loss: 0.0002
145
- Validation Loss: 0.0010
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 1.0000
149
- Validation Accuracy: 0.9997
150
- Training Loss: 0.0001
151
- Validation Loss: 0.0007
152
  --------------------------------------------------
153
  Epoch 26
154
  Training Accuracy: 0.9998
155
- Validation Accuracy: 0.9997
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- Training Loss: 0.0006
157
- Validation Loss: 0.0004
158
  --------------------------------------------------
159
  Epoch 27
160
- Training Accuracy: 0.9999
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  Validation Accuracy: 1.0000
162
- Training Loss: 0.0002
163
- Validation Loss: 0.0001
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  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 1.0000
167
- Validation Accuracy: 0.9997
168
- Training Loss: 0.0002
169
- Validation Loss: 0.0007
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 0.9999
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- Validation Accuracy: 1.0000
174
- Training Loss: 0.0004
175
- Validation Loss: 0.0001
176
  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 1.0000
179
- Validation Accuracy: 0.9997
180
- Training Loss: 0.0002
181
- Validation Loss: 0.0003
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
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5
+ Validation Accuracy: 0.9956
6
+ Training Loss: 0.0874
7
+ Validation Loss: 0.0208
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  --------------------------------------------------
9
  Epoch 2
10
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+ Validation Accuracy: 0.9973
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+ Training Loss: 0.0178
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+ Validation Loss: 0.0099
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  --------------------------------------------------
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  Epoch 3
16
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17
+ Validation Accuracy: 0.9985
18
+ Training Loss: 0.0111
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+ Validation Loss: 0.0060
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  --------------------------------------------------
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  Epoch 4
22
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23
+ Validation Accuracy: 0.9988
24
+ Training Loss: 0.0071
25
+ Validation Loss: 0.0042
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9980
29
+ Validation Accuracy: 0.9992
30
+ Training Loss: 0.0063
31
+ Validation Loss: 0.0032
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9986
35
+ Validation Accuracy: 0.9992
36
+ Training Loss: 0.0045
37
+ Validation Loss: 0.0028
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9988
41
  Validation Accuracy: 0.9996
42
+ Training Loss: 0.0043
43
+ Validation Loss: 0.0026
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9991
47
+ Validation Accuracy: 0.9996
48
+ Training Loss: 0.0038
49
+ Validation Loss: 0.0020
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9992
53
  Validation Accuracy: 0.9996
54
+ Training Loss: 0.0030
55
+ Validation Loss: 0.0019
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9992
59
  Validation Accuracy: 0.9996
60
+ Training Loss: 0.0028
61
+ Validation Loss: 0.0020
62
  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 0.9994
65
+ Validation Accuracy: 0.9994
66
+ Training Loss: 0.0022
67
+ Validation Loss: 0.0022
68
  --------------------------------------------------
69
  Epoch 12
70
+ Training Accuracy: 0.9994
71
+ Validation Accuracy: 0.9992
72
+ Training Loss: 0.0021
73
+ Validation Loss: 0.0021
74
  --------------------------------------------------
75
  Epoch 13
76
+ Training Accuracy: 0.9994
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  Validation Accuracy: 0.9996
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+ Training Loss: 0.0024
79
+ Validation Loss: 0.0011
80
  --------------------------------------------------
81
  Epoch 14
82
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83
+ Validation Accuracy: 0.9996
84
+ Training Loss: 0.0017
85
+ Validation Loss: 0.0014
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  --------------------------------------------------
87
  Epoch 15
88
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+ Validation Accuracy: 0.9994
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+ Training Loss: 0.0015
91
+ Validation Loss: 0.0014
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  --------------------------------------------------
93
  Epoch 16
94
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95
+ Validation Accuracy: 0.9996
96
+ Training Loss: 0.0012
97
+ Validation Loss: 0.0014
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  --------------------------------------------------
99
  Epoch 17
100
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  Validation Accuracy: 0.9996
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+ Training Loss: 0.0017
103
+ Validation Loss: 0.0011
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  --------------------------------------------------
105
  Epoch 18
106
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+ Validation Accuracy: 0.9994
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+ Training Loss: 0.0014
109
+ Validation Loss: 0.0013
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  --------------------------------------------------
111
  Epoch 19
112
+ Training Accuracy: 0.9994
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0013
115
+ Validation Loss: 0.0008
116
  --------------------------------------------------
117
  Epoch 20
118
+ Training Accuracy: 0.9997
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+ Validation Accuracy: 0.9998
120
+ Training Loss: 0.0011
121
  Validation Loss: 0.0008
122
  --------------------------------------------------
123
  Epoch 21
124
+ Training Accuracy: 0.9996
125
+ Validation Accuracy: 0.9992
126
+ Training Loss: 0.0012
127
  Validation Loss: 0.0010
128
  --------------------------------------------------
129
  Epoch 22
130
+ Training Accuracy: 0.9998
131
+ Validation Accuracy: 0.9994
132
+ Training Loss: 0.0009
133
+ Validation Loss: 0.0009
134
  --------------------------------------------------
135
  Epoch 23
136
+ Training Accuracy: 0.9997
137
+ Validation Accuracy: 0.9996
138
+ Training Loss: 0.0011
139
+ Validation Loss: 0.0012
140
  --------------------------------------------------
141
  Epoch 24
142
+ Training Accuracy: 0.9996
143
+ Validation Accuracy: 0.9994
144
+ Training Loss: 0.0010
145
+ Validation Loss: 0.0015
146
  --------------------------------------------------
147
  Epoch 25
148
+ Training Accuracy: 0.9996
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0014
151
+ Validation Loss: 0.0006
152
  --------------------------------------------------
153
  Epoch 26
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  Training Accuracy: 0.9998
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+ Validation Accuracy: 1.0000
156
+ Training Loss: 0.0008
157
+ Validation Loss: 0.0006
158
  --------------------------------------------------
159
  Epoch 27
160
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161
  Validation Accuracy: 1.0000
162
+ Training Loss: 0.0009
163
+ Validation Loss: 0.0005
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  --------------------------------------------------
165
  Epoch 28
166
+ Training Accuracy: 0.9997
167
+ Validation Accuracy: 0.9994
168
+ Training Loss: 0.0011
169
+ Validation Loss: 0.0012
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 0.9999
173
+ Validation Accuracy: 0.9996
174
+ Training Loss: 0.0005
175
+ Validation Loss: 0.0010
176
  --------------------------------------------------
177
  Epoch 30
178
+ Training Accuracy: 0.9999
179
+ Validation Accuracy: 0.9994
180
+ Training Loss: 0.0007
181
+ Validation Loss: 0.0007
182
  --------------------------------------------------
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8
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9
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10
  Jaccard Index: 1.0000
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12
  F0.5-Score: 1.0000
 
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  Balanced Accuracy: 1.0000
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  Jaccard Index: 1.0000
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9857
5
- Validation Accuracy: 0.9992
6
- Training Loss: 0.0458
7
- Validation Loss: 0.0051
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9990
11
- Validation Accuracy: 0.9997
12
- Training Loss: 0.0058
13
- Validation Loss: 0.0018
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9994
17
- Validation Accuracy: 0.9996
18
- Training Loss: 0.0031
19
- Validation Loss: 0.0016
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9996
23
- Validation Accuracy: 0.9996
24
- Training Loss: 0.0021
25
- Validation Loss: 0.0014
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9999
29
- Validation Accuracy: 0.9995
30
- Training Loss: 0.0011
31
- Validation Loss: 0.0021
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9997
35
- Validation Accuracy: 0.9996
36
- Training Loss: 0.0013
37
- Validation Loss: 0.0010
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9999
41
- Validation Accuracy: 0.9997
42
- Training Loss: 0.0009
43
- Validation Loss: 0.0006
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9999
47
- Validation Accuracy: 0.9996
48
- Training Loss: 0.0007
49
- Validation Loss: 0.0008
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9999
53
- Validation Accuracy: 0.9995
54
- Training Loss: 0.0005
55
- Validation Loss: 0.0014
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9999
59
- Validation Accuracy: 0.9999
60
- Training Loss: 0.0008
61
- Validation Loss: 0.0004
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9999
65
- Validation Accuracy: 0.9994
66
- Training Loss: 0.0005
67
- Validation Loss: 0.0022
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9997
71
- Validation Accuracy: 0.9997
72
- Training Loss: 0.0008
73
- Validation Loss: 0.0005
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9999
77
- Validation Accuracy: 0.9999
78
- Training Loss: 0.0005
79
- Validation Loss: 0.0004
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9999
83
- Validation Accuracy: 0.9999
84
- Training Loss: 0.0005
85
- Validation Loss: 0.0003
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 1.0000
89
  Validation Accuracy: 0.9996
90
- Training Loss: 0.0003
91
- Validation Loss: 0.0008
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9999
95
- Validation Accuracy: 1.0000
96
- Training Loss: 0.0003
97
- Validation Loss: 0.0001
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 0.9999
101
- Validation Accuracy: 0.9997
102
- Training Loss: 0.0004
103
- Validation Loss: 0.0005
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 1.0000
107
- Validation Accuracy: 0.9996
108
- Training Loss: 0.0001
109
- Validation Loss: 0.0009
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 0.9999
113
- Validation Accuracy: 0.9999
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- 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: 0.0004
121
- Validation Loss: 0.0002
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 0.9999
125
- Validation Accuracy: 0.9999
126
- Training Loss: 0.0003
127
- Validation Loss: 0.0004
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 1.0000
131
- Validation Accuracy: 0.9997
132
- Training Loss: 0.0002
133
- Validation Loss: 0.0007
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 1.0000
137
- Validation Accuracy: 0.9997
138
- Training Loss: 0.0001
139
- Validation Loss: 0.0007
140
  --------------------------------------------------
141
  Epoch 24
142
- Training Accuracy: 0.9999
143
- Validation Accuracy: 0.9995
144
- Training Loss: 0.0002
145
- Validation Loss: 0.0013
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 1.0000
149
  Validation Accuracy: 0.9996
150
- Training Loss: 0.0002
151
- Validation Loss: 0.0013
152
  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 1.0000
155
- Validation Accuracy: 0.9999
156
- Training Loss: 0.0002
157
- Validation Loss: 0.0002
158
  --------------------------------------------------
159
  Epoch 27
160
- Training Accuracy: 0.9999
161
- Validation Accuracy: 0.9994
162
- Training Loss: 0.0003
163
- Validation Loss: 0.0015
164
  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 1.0000
167
- Validation Accuracy: 0.9997
168
- Training Loss: 0.0002
169
- Validation Loss: 0.0006
170
  --------------------------------------------------
171
  Epoch 29
172
- Training Accuracy: 1.0000
173
- Validation Accuracy: 0.9999
174
- Training Loss: 0.0001
175
- Validation Loss: 0.0003
176
  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 1.0000
179
- Validation Accuracy: 0.9997
180
- Training Loss: 0.0001
181
- Validation Loss: 0.0006
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9725
5
+ Validation Accuracy: 0.9963
6
+ Training Loss: 0.0885
7
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  --------------------------------------------------
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  Epoch 2
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+ Training Accuracy: 0.9955
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+ Validation Accuracy: 0.9979
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  --------------------------------------------------
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  Epoch 3
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+ Training Accuracy: 0.9977
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+ Validation Accuracy: 0.9977
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  --------------------------------------------------
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  Epoch 4
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+ Validation Accuracy: 0.9986
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+ Validation Loss: 0.0040
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  --------------------------------------------------
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  Epoch 5
28
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+ Validation Accuracy: 0.9986
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+ Validation Loss: 0.0037
32
  --------------------------------------------------
33
  Epoch 6
34
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35
+ Validation Accuracy: 0.9990
36
+ Training Loss: 0.0046
37
+ Validation Loss: 0.0032
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9989
41
+ Validation Accuracy: 0.9992
42
+ Training Loss: 0.0044
43
+ Validation Loss: 0.0024
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  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9992
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+ Validation Accuracy: 0.9992
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+ Training Loss: 0.0031
49
+ Validation Loss: 0.0026
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  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9996
53
+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0023
55
+ Validation Loss: 0.0017
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  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9995
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0022
61
+ Validation Loss: 0.0018
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  --------------------------------------------------
63
  Epoch 11
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+ Training Loss: 0.0019
67
+ Validation Loss: 0.0021
68
  --------------------------------------------------
69
  Epoch 12
70
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73
+ Validation Loss: 0.0032
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  --------------------------------------------------
75
  Epoch 13
76
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+ Training Loss: 0.0023
79
+ Validation Loss: 0.0016
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  --------------------------------------------------
81
  Epoch 14
82
+ Training Accuracy: 0.9995
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0017
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+ Validation Loss: 0.0015
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  --------------------------------------------------
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  Epoch 15
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+ Training Accuracy: 0.9996
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  Validation Accuracy: 0.9996
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+ Training Loss: 0.0013
91
+ Validation Loss: 0.0012
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  --------------------------------------------------
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  Epoch 16
94
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+ Training Loss: 0.0013
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+ Validation Loss: 0.0011
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  --------------------------------------------------
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  Epoch 17
100
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0011
103
+ Validation Loss: 0.0016
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  --------------------------------------------------
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  Epoch 18
106
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+ Training Loss: 0.0010
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+ Validation Loss: 0.0008
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  --------------------------------------------------
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  Epoch 19
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+ Training Accuracy: 0.9996
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0015
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+ Validation Loss: 0.0017
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  --------------------------------------------------
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  Epoch 20
118
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+ Training Loss: 0.0008
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+ Validation Loss: 0.0010
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  --------------------------------------------------
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  Epoch 21
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+ Validation Loss: 0.0010
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  --------------------------------------------------
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  Epoch 22
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+ Training Loss: 0.0011
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+ Validation Loss: 0.0012
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  --------------------------------------------------
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  Epoch 23
136
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+ Validation Loss: 0.0010
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  --------------------------------------------------
141
  Epoch 24
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+ Validation Loss: 0.0008
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  --------------------------------------------------
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  Epoch 25
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  Validation Accuracy: 0.9996
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  --------------------------------------------------
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  Epoch 26
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+ Validation Loss: 0.0007
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  --------------------------------------------------
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  Epoch 27
160
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  --------------------------------------------------
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  Epoch 28
166
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+ Training Loss: 0.0009
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+ Validation Loss: 0.0009
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  --------------------------------------------------
171
  Epoch 29
172
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+ Training Loss: 0.0010
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+ Validation Loss: 0.0010
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  --------------------------------------------------
177
  Epoch 30
178
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0009
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+ Validation Loss: 0.0007
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  --------------------------------------------------
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- Precision: 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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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9953
5
- Validation Accuracy: 0.9997
6
- Training Loss: 0.0160
7
- Validation Loss: 0.0012
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9997
11
- Validation Accuracy: 1.0000
12
- Training Loss: 0.0017
13
- Validation Loss: 0.0003
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9997
17
- Validation Accuracy: 0.9999
18
- Training Loss: 0.0009
19
- Validation Loss: 0.0006
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 1.0000
23
- Validation Accuracy: 0.9999
24
- Training Loss: 0.0003
25
- Validation Loss: 0.0003
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9999
29
- Validation Accuracy: 0.9999
30
- Training Loss: 0.0003
31
- Validation Loss: 0.0003
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
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- Training Loss: 0.0002
37
- Validation Loss: 0.0001
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  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 1.0000
41
- Validation Accuracy: 0.9999
42
- Training Loss: 0.0002
43
- Validation Loss: 0.0002
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  --------------------------------------------------
45
  Epoch 8
46
  Training Accuracy: 1.0000
47
- Validation Accuracy: 1.0000
48
- Training Loss: 0.0001
49
- Validation Loss: 0.0001
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 1.0000
53
- Validation Accuracy: 1.0000
54
- Training Loss: 0.0001
55
- Validation Loss: 0.0000
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 1.0000
59
- Validation Accuracy: 1.0000
60
- Training Loss: 0.0001
61
- Validation Loss: 0.0000
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  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 1.0000
65
- Validation Accuracy: 1.0000
66
- Training Loss: 0.0000
67
- Validation Loss: 0.0000
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  --------------------------------------------------
69
  Epoch 12
70
  Training Accuracy: 0.9999
71
- Validation Accuracy: 0.9996
72
- Training Loss: 0.0002
73
- Validation Loss: 0.0010
74
  --------------------------------------------------
75
  Epoch 13
76
  Training Accuracy: 0.9999
77
- Validation Accuracy: 0.9999
78
- Training Loss: 0.0002
79
- Validation Loss: 0.0002
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  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 1.0000
83
  Validation Accuracy: 1.0000
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- Training Loss: 0.0001
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- Validation Loss: 0.0000
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  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 1.0000
89
- Validation Accuracy: 0.9999
90
- Training Loss: 0.0001
91
- Validation Loss: 0.0002
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
96
- Training Loss: 0.0000
97
- Validation Loss: 0.0000
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 1.0000
101
- Validation Accuracy: 1.0000
102
- Training Loss: 0.0000
103
- Validation Loss: 0.0001
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 1.0000
107
- Validation Accuracy: 1.0000
108
- Training Loss: 0.0000
109
- Validation Loss: 0.0000
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  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 1.0000
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- Validation Accuracy: 0.9999
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- Training Loss: 0.0000
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  Validation Loss: 0.0002
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  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
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- Training Loss: 0.0002
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- Validation Loss: 0.0000
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  --------------------------------------------------
123
  Epoch 21
124
  Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
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  Training Loss: 0.0000
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- Validation Loss: 0.0000
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  --------------------------------------------------
129
  Epoch 22
130
  Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
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- Training Loss: 0.0002
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- Validation Loss: 0.0000
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  --------------------------------------------------
135
  Epoch 23
136
  Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
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- Training Loss: 0.0000
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- Validation Loss: 0.0000
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  --------------------------------------------------
141
  Epoch 24
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0000
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- Validation Loss: 0.0000
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  --------------------------------------------------
147
  Epoch 25
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- Validation Accuracy: 1.0000
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  Training Loss: 0.0001
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- Validation Loss: 0.0000
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  --------------------------------------------------
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  Epoch 26
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- Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
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- Training Loss: 0.0001
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- Validation Loss: 0.0000
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  --------------------------------------------------
159
  Epoch 27
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  Training Loss: 0.0000
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- Validation Loss: 0.0001
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  --------------------------------------------------
165
  Epoch 28
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0001
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- Validation Loss: 0.0000
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  --------------------------------------------------
171
  Epoch 29
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- Training Accuracy: 1.0000
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- Validation Accuracy: 0.9999
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- Training Loss: 0.0000
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  Validation Loss: 0.0001
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  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
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- Training Loss: 0.0000
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- Validation Loss: 0.0000
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  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9876
5
+ Validation Accuracy: 0.9988
6
+ Training Loss: 0.0357
7
+ Validation Loss: 0.0047
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  --------------------------------------------------
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  Epoch 2
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  --------------------------------------------------
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  Epoch 3
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0029
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+ Validation Loss: 0.0018
20
  --------------------------------------------------
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  Epoch 4
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+ Training Accuracy: 0.9994
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+ Validation Accuracy: 0.9996
24
+ Training Loss: 0.0022
25
+ Validation Loss: 0.0010
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9997
29
+ Validation Accuracy: 1.0000
30
+ Training Loss: 0.0016
31
+ Validation Loss: 0.0008
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9999
35
+ Validation Accuracy: 0.9998
36
+ Training Loss: 0.0009
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+ Validation Loss: 0.0006
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  --------------------------------------------------
39
  Epoch 7
40
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0007
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+ Validation Loss: 0.0008
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  --------------------------------------------------
45
  Epoch 8
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  Training Accuracy: 1.0000
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0005
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+ Validation Loss: 0.0004
50
  --------------------------------------------------
51
  Epoch 9
52
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0004
55
+ Validation Loss: 0.0007
56
  --------------------------------------------------
57
  Epoch 10
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+ Training Accuracy: 0.9999
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0004
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+ Validation Loss: 0.0008
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  --------------------------------------------------
63
  Epoch 11
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0011
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+ Validation Loss: 0.0004
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  --------------------------------------------------
69
  Epoch 12
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  Training Accuracy: 0.9999
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0004
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+ Validation Loss: 0.0009
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  --------------------------------------------------
75
  Epoch 13
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  Training Accuracy: 0.9999
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+ Training Loss: 0.0004
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+ Validation Loss: 0.0004
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  --------------------------------------------------
81
  Epoch 14
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0003
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  --------------------------------------------------
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  Epoch 15
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  --------------------------------------------------
93
  Epoch 16
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0007
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  --------------------------------------------------
99
  Epoch 17
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0004
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+ Validation Loss: 0.0010
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  --------------------------------------------------
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  Epoch 18
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+ Training Loss: 0.0003
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  --------------------------------------------------
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  Epoch 19
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  Validation Loss: 0.0002
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  --------------------------------------------------
117
  Epoch 20
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0004
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+ Validation Loss: 0.0003
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  --------------------------------------------------
123
  Epoch 21
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  Training Accuracy: 1.0000
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+ Validation Accuracy: 0.9998
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  Training Loss: 0.0000
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+ Validation Loss: 0.0003
128
  --------------------------------------------------
129
  Epoch 22
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  Training Accuracy: 1.0000
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0001
133
+ Validation Loss: 0.0005
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  --------------------------------------------------
135
  Epoch 23
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  Training Accuracy: 1.0000
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+ Training Loss: 0.0001
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+ Validation Loss: 0.0005
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  --------------------------------------------------
141
  Epoch 24
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0001
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+ Validation Loss: 0.0001
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  --------------------------------------------------
147
  Epoch 25
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+ Validation Accuracy: 0.9998
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  Training Loss: 0.0001
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+ Validation Loss: 0.0005
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  --------------------------------------------------
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  Epoch 26
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+ Training Loss: 0.0002
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+ Validation Loss: 0.0009
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  --------------------------------------------------
159
  Epoch 27
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  Validation Accuracy: 1.0000
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  Training Loss: 0.0000
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+ Validation Loss: 0.0002
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  --------------------------------------------------
165
  Epoch 28
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0000
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+ Validation Loss: 0.0001
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  --------------------------------------------------
171
  Epoch 29
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0002
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  Validation Loss: 0.0001
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  --------------------------------------------------
177
  Epoch 30
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0002
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+ Validation Loss: 0.0007
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  --------------------------------------------------
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