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  1. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/.ipynb_checkpoints/confusion_matrix-checkpoint.png +0 -0
  2. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/HELMINTHS_BINARY_ConvNeXtBase_Round1.keras +1 -1
  3. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/classification_metrics.txt +9 -9
  4. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/confusion_matrix.png +0 -0
  5. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/roc_curve.png +0 -0
  6. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/testing_metrics.txt +2 -2
  7. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/training_accuracy.png +0 -0
  8. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/training_loss.png +0 -0
  9. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/training_validation_metrics.txt +98 -98
  10. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/.ipynb_checkpoints/confusion_matrix-checkpoint.png +0 -0
  11. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/HELMINTHS_BINARY_ConvNeXtBase_Round2.keras +1 -1
  12. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/classification_metrics.txt +9 -9
  13. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/confusion_matrix.png +0 -0
  14. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/roc_curve.png +0 -0
  15. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/testing_metrics.txt +3 -3
  16. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/training_accuracy.png +0 -0
  17. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/training_loss.png +0 -0
  18. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/training_validation_metrics.txt +98 -98
  19. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/HELMINTHS_BINARY_ConvNeXtBase_Round3.keras +1 -1
  20. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/classification_metrics.txt +9 -9
  21. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/confusion_matrix.png +0 -0
  22. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/roc_curve.png +0 -0
  23. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/testing_metrics.txt +2 -2
  24. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/training_accuracy.png +0 -0
  25. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/training_loss.png +0 -0
  26. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/training_validation_metrics.txt +99 -99
  27. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/HELMINTHS_BINARY_ConvNeXtBase_Round4.keras +1 -1
  28. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/classification_metrics.txt +9 -9
  29. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/confusion_matrix.png +0 -0
  30. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/roc_curve.png +0 -0
  31. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/testing_metrics.txt +2 -2
  32. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/training_accuracy.png +0 -0
  33. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/training_loss.png +0 -0
  34. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/training_validation_metrics.txt +99 -99
  35. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/HELMINTHS_BINARY_ConvNeXtBase_Round5.keras +1 -1
  36. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/classification_metrics.txt +9 -9
  37. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/confusion_matrix.png +0 -0
  38. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/roc_curve.png +0 -0
  39. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/testing_metrics.txt +2 -2
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  41. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/training_loss.png +0 -0
  42. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/training_validation_metrics.txt +107 -107
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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
8
- Cohen's Kappa: 1.0000
9
- Balanced Accuracy: 1.0000
10
- Jaccard Index: 1.0000
11
- Log Loss: 0.0002
12
- F0.5-Score: 1.0000
 
1
+ Precision: 0.9992
2
  Recall: 1.0000
3
  Sensitivity: 1.0000
4
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5
+ F1-Score: 0.9996
6
  AUC: 1.0000
7
+ MCC: 0.9992
8
+ Cohen's Kappa: 0.9992
9
+ Balanced Accuracy: 0.9996
10
+ Jaccard Index: 0.9992
11
+ Log Loss: 0.0010
12
+ F0.5-Score: 0.9994
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- accuracy: 1.0000
2
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3
- loss: 0.0002
 
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2
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3
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ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/training_validation_metrics.txt CHANGED
@@ -1,182 +1,182 @@
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9878
5
- Validation Accuracy: 0.9997
6
- Training Loss: 0.0385
7
- Validation Loss: 0.0039
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9996
11
- Validation Accuracy: 1.0000
12
- Training Loss: 0.0035
13
- Validation Loss: 0.0011
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9998
17
- Validation Accuracy: 1.0000
18
- Training Loss: 0.0016
19
- Validation Loss: 0.0007
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9999
23
- Validation Accuracy: 1.0000
24
- Training Loss: 0.0009
25
- Validation Loss: 0.0003
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9999
29
- Validation Accuracy: 1.0000
30
- Training Loss: 0.0007
31
- Validation Loss: 0.0002
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 1.0000
35
- Validation Accuracy: 1.0000
36
- Training Loss: 0.0005
37
- Validation Loss: 0.0004
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9998
41
- Validation Accuracy: 1.0000
42
- Training Loss: 0.0005
43
- Validation Loss: 0.0001
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9999
47
- Validation Accuracy: 1.0000
48
- Training Loss: 0.0003
49
- Validation Loss: 0.0001
50
  --------------------------------------------------
51
  Epoch 9
52
  Training Accuracy: 1.0000
53
- Validation Accuracy: 1.0000
54
- Training Loss: 0.0002
55
- Validation Loss: 0.0001
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 1.0000
59
- Validation Accuracy: 1.0000
60
- Training Loss: 0.0001
61
- Validation Loss: 0.0001
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 1.0000
65
- Validation Accuracy: 1.0000
66
- Training Loss: 0.0001
67
- Validation Loss: 0.0001
68
  --------------------------------------------------
69
  Epoch 12
70
  Training Accuracy: 1.0000
71
- Validation Accuracy: 1.0000
72
- Training Loss: 0.0001
73
- Validation Loss: 0.0000
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 1.0000
77
- Validation Accuracy: 1.0000
78
- Training Loss: 0.0000
79
- Validation Loss: 0.0000
80
  --------------------------------------------------
81
  Epoch 14
82
  Training Accuracy: 0.9999
83
- Validation Accuracy: 1.0000
84
- Training Loss: 0.0002
85
- Validation Loss: 0.0000
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 1.0000
89
- Validation Accuracy: 1.0000
90
- Training Loss: 0.0001
91
- Validation Loss: 0.0000
92
  --------------------------------------------------
93
  Epoch 16
94
  Training Accuracy: 1.0000
95
- Validation Accuracy: 1.0000
96
- Training Loss: 0.0001
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: 0.0000
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 1.0000
107
- Validation Accuracy: 1.0000
108
- Training Loss: 0.0000
109
- Validation Loss: 0.0000
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 1.0000
113
- Validation Accuracy: 1.0000
114
- Training Loss: 0.0000
115
- Validation Loss: 0.0000
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 1.0000
119
  Validation Accuracy: 1.0000
120
- Training Loss: 0.0001
121
  Validation Loss: 0.0001
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 1.0000
125
  Validation Accuracy: 1.0000
126
- Training Loss: 0.0001
127
- Validation Loss: 0.0000
128
  --------------------------------------------------
129
  Epoch 22
130
  Training Accuracy: 1.0000
131
- Validation Accuracy: 0.9999
132
  Training Loss: 0.0001
133
- Validation Loss: 0.0001
134
  --------------------------------------------------
135
  Epoch 23
136
  Training Accuracy: 1.0000
137
  Validation Accuracy: 1.0000
138
  Training Loss: 0.0001
139
- Validation Loss: 0.0001
140
  --------------------------------------------------
141
  Epoch 24
142
  Training Accuracy: 1.0000
143
  Validation Accuracy: 1.0000
144
  Training Loss: 0.0001
145
- Validation Loss: 0.0001
146
  --------------------------------------------------
147
  Epoch 25
148
  Training Accuracy: 1.0000
149
- Validation Accuracy: 0.9999
150
- Training Loss: 0.0001
151
- Validation Loss: 0.0001
152
  --------------------------------------------------
153
  Epoch 26
154
  Training Accuracy: 1.0000
155
- Validation Accuracy: 1.0000
156
- Training Loss: 0.0000
157
- Validation Loss: 0.0000
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 1.0000
161
- Validation Accuracy: 1.0000
162
- Training Loss: 0.0000
163
- Validation Loss: 0.0000
164
  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 1.0000
167
- Validation Accuracy: 1.0000
168
- Training Loss: 0.0000
169
- Validation Loss: 0.0000
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 1.0000
173
  Validation Accuracy: 1.0000
174
- Training Loss: 0.0000
175
- Validation Loss: 0.0000
176
  --------------------------------------------------
177
  Epoch 30
178
  Training Accuracy: 1.0000
179
- Validation Accuracy: 0.9999
180
- Training Loss: 0.0000
181
  Validation Loss: 0.0002
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9801
5
+ Validation Accuracy: 0.9986
6
+ Training Loss: 0.0670
7
+ Validation Loss: 0.0115
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9983
11
+ Validation Accuracy: 0.9988
12
+ Training Loss: 0.0092
13
+ Validation Loss: 0.0062
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9989
17
+ Validation Accuracy: 0.9996
18
+ Training Loss: 0.0053
19
+ Validation Loss: 0.0036
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9994
23
+ Validation Accuracy: 0.9996
24
+ Training Loss: 0.0030
25
+ Validation Loss: 0.0020
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9996
29
+ Validation Accuracy: 0.9996
30
+ Training Loss: 0.0020
31
+ Validation Loss: 0.0027
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9997
35
+ Validation Accuracy: 0.9998
36
+ Training Loss: 0.0017
37
+ Validation Loss: 0.0012
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9999
41
+ Validation Accuracy: 0.9998
42
+ Training Loss: 0.0009
43
+ Validation Loss: 0.0015
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9998
47
+ Validation Accuracy: 0.9998
48
+ Training Loss: 0.0010
49
+ Validation Loss: 0.0011
50
  --------------------------------------------------
51
  Epoch 9
52
  Training Accuracy: 1.0000
53
+ Validation Accuracy: 0.9998
54
+ Training Loss: 0.0007
55
+ Validation Loss: 0.0009
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9999
59
+ Validation Accuracy: 0.9996
60
+ Training Loss: 0.0005
61
+ Validation Loss: 0.0007
62
  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 0.9998
65
+ Validation Accuracy: 0.9996
66
+ Training Loss: 0.0007
67
+ Validation Loss: 0.0010
68
  --------------------------------------------------
69
  Epoch 12
70
  Training Accuracy: 1.0000
71
+ Validation Accuracy: 0.9996
72
+ Training Loss: 0.0004
73
+ Validation Loss: 0.0011
74
  --------------------------------------------------
75
  Epoch 13
76
+ Training Accuracy: 0.9999
77
+ Validation Accuracy: 0.9996
78
+ Training Loss: 0.0004
79
+ Validation Loss: 0.0017
80
  --------------------------------------------------
81
  Epoch 14
82
  Training Accuracy: 0.9999
83
+ Validation Accuracy: 0.9998
84
+ Training Loss: 0.0003
85
+ Validation Loss: 0.0005
86
  --------------------------------------------------
87
  Epoch 15
88
+ Training Accuracy: 0.9999
89
+ Validation Accuracy: 0.9998
90
+ Training Loss: 0.0004
91
+ Validation Loss: 0.0007
92
  --------------------------------------------------
93
  Epoch 16
94
  Training Accuracy: 1.0000
95
+ Validation Accuracy: 0.9998
96
+ Training Loss: 0.0002
97
+ Validation Loss: 0.0005
98
  --------------------------------------------------
99
  Epoch 17
100
+ Training Accuracy: 0.9999
101
+ Validation Accuracy: 0.9998
102
+ Training Loss: 0.0004
103
+ Validation Loss: 0.0004
104
  --------------------------------------------------
105
  Epoch 18
106
+ Training Accuracy: 0.9999
107
+ Validation Accuracy: 0.9994
108
+ Training Loss: 0.0004
109
+ Validation Loss: 0.0019
110
  --------------------------------------------------
111
  Epoch 19
112
+ Training Accuracy: 0.9999
113
+ Validation Accuracy: 0.9998
114
+ Training Loss: 0.0004
115
+ Validation Loss: 0.0005
116
  --------------------------------------------------
117
  Epoch 20
118
+ Training Accuracy: 0.9999
119
  Validation Accuracy: 1.0000
120
+ Training Loss: 0.0002
121
  Validation Loss: 0.0001
122
  --------------------------------------------------
123
  Epoch 21
124
+ Training Accuracy: 0.9999
125
  Validation Accuracy: 1.0000
126
+ Training Loss: 0.0003
127
+ Validation Loss: 0.0003
128
  --------------------------------------------------
129
  Epoch 22
130
  Training Accuracy: 1.0000
131
+ Validation Accuracy: 1.0000
132
  Training Loss: 0.0001
133
+ Validation Loss: 0.0003
134
  --------------------------------------------------
135
  Epoch 23
136
  Training Accuracy: 1.0000
137
  Validation Accuracy: 1.0000
138
  Training Loss: 0.0001
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: 0.0004
146
  --------------------------------------------------
147
  Epoch 25
148
  Training Accuracy: 1.0000
149
+ Validation Accuracy: 1.0000
150
+ Training Loss: 0.0000
151
+ Validation Loss: 0.0003
152
  --------------------------------------------------
153
  Epoch 26
154
  Training Accuracy: 1.0000
155
+ Validation Accuracy: 0.9998
156
+ Training Loss: 0.0001
157
+ Validation Loss: 0.0004
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 1.0000
161
+ Validation Accuracy: 0.9998
162
+ Training Loss: 0.0001
163
+ Validation Loss: 0.0003
164
  --------------------------------------------------
165
  Epoch 28
166
+ Training Accuracy: 0.9999
167
+ Validation Accuracy: 0.9998
168
+ Training Loss: 0.0001
169
+ Validation Loss: 0.0006
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 1.0000
173
  Validation Accuracy: 1.0000
174
+ Training Loss: 0.0001
175
+ Validation Loss: 0.0002
176
  --------------------------------------------------
177
  Epoch 30
178
  Training Accuracy: 1.0000
179
+ Validation Accuracy: 1.0000
180
+ Training Loss: 0.0001
181
  Validation Loss: 0.0002
182
  --------------------------------------------------
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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
8
- Cohen's Kappa: 1.0000
9
- Balanced Accuracy: 1.0000
10
- Jaccard Index: 1.0000
11
- Log Loss: 0.0000
12
- F0.5-Score: 1.0000
 
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2
  Recall: 1.0000
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  Sensitivity: 1.0000
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5
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  AUC: 1.0000
7
+ MCC: 0.9992
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+ Balanced Accuracy: 0.9996
10
+ Jaccard Index: 0.9992
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ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/testing_metrics.txt CHANGED
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2
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3
- loss: 0.0000
 
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ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/training_validation_metrics.txt CHANGED
@@ -1,182 +1,182 @@
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9881
5
- Validation Accuracy: 0.9996
6
- Training Loss: 0.0373
7
- Validation Loss: 0.0039
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9992
11
- Validation Accuracy: 0.9997
12
- Training Loss: 0.0041
13
- Validation Loss: 0.0020
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9998
17
- Validation Accuracy: 1.0000
18
- Training Loss: 0.0018
19
- Validation Loss: 0.0008
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9999
23
- Validation Accuracy: 1.0000
24
- Training Loss: 0.0008
25
- Validation Loss: 0.0004
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 1.0000
29
- Validation Accuracy: 1.0000
30
- Training Loss: 0.0006
31
- Validation Loss: 0.0002
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9999
35
- Validation Accuracy: 1.0000
36
- Training Loss: 0.0005
37
- Validation Loss: 0.0002
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 1.0000
41
- Validation Accuracy: 1.0000
42
- Training Loss: 0.0003
43
- Validation Loss: 0.0002
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 1.0000
47
- Validation Accuracy: 1.0000
48
- Training Loss: 0.0002
49
- Validation Loss: 0.0001
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9999
53
  Validation Accuracy: 1.0000
54
- Training Loss: 0.0003
55
- Validation Loss: 0.0000
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 1.0000
59
  Validation Accuracy: 1.0000
60
- Training Loss: 0.0002
61
- Validation Loss: 0.0000
62
  --------------------------------------------------
63
  Epoch 11
64
  Training Accuracy: 0.9999
65
  Validation Accuracy: 1.0000
66
- Training Loss: 0.0003
67
- Validation Loss: 0.0001
68
  --------------------------------------------------
69
  Epoch 12
70
  Training Accuracy: 1.0000
71
- Validation Accuracy: 1.0000
72
- Training Loss: 0.0002
73
- Validation Loss: 0.0000
74
  --------------------------------------------------
75
  Epoch 13
76
  Training Accuracy: 1.0000
77
  Validation Accuracy: 1.0000
78
- Training Loss: 0.0001
79
- Validation Loss: 0.0000
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 1.0000
83
- Validation Accuracy: 1.0000
84
- Training Loss: 0.0000
85
- Validation Loss: 0.0000
86
  --------------------------------------------------
87
  Epoch 15
88
  Training Accuracy: 0.9999
89
  Validation Accuracy: 1.0000
90
- Training Loss: 0.0002
91
- Validation Loss: 0.0000
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 1.0000
95
- Validation Accuracy: 1.0000
96
- Training Loss: 0.0001
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: 0.0000
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 1.0000
107
  Validation Accuracy: 1.0000
108
- Training Loss: 0.0001
109
- Validation Loss: 0.0000
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 1.0000
113
  Validation Accuracy: 1.0000
114
- Training Loss: 0.0000
115
- Validation Loss: 0.0000
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 1.0000
119
  Validation Accuracy: 1.0000
120
- Training Loss: 0.0000
121
- Validation Loss: 0.0000
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 1.0000
125
- Validation Accuracy: 0.9999
126
- Training Loss: 0.0000
127
- Validation Loss: 0.0001
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 1.0000
131
- Validation Accuracy: 1.0000
132
- Training Loss: 0.0000
133
- Validation Loss: 0.0000
134
  --------------------------------------------------
135
  Epoch 23
136
  Training Accuracy: 1.0000
137
  Validation Accuracy: 1.0000
138
- Training Loss: 0.0000
139
- Validation Loss: 0.0000
140
  --------------------------------------------------
141
  Epoch 24
142
  Training Accuracy: 1.0000
143
- Validation Accuracy: 1.0000
144
- Training Loss: 0.0000
145
- Validation Loss: 0.0000
146
  --------------------------------------------------
147
  Epoch 25
148
  Training Accuracy: 1.0000
149
- Validation Accuracy: 1.0000
150
- Training Loss: 0.0000
151
- Validation Loss: 0.0000
152
  --------------------------------------------------
153
  Epoch 26
154
  Training Accuracy: 1.0000
155
- Validation Accuracy: 1.0000
156
- Training Loss: 0.0000
157
- Validation Loss: 0.0000
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  --------------------------------------------------
159
  Epoch 27
160
- Training Accuracy: 1.0000
161
  Validation Accuracy: 1.0000
162
- Training Loss: 0.0000
163
- Validation Loss: 0.0000
164
  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 1.0000
167
- Validation Accuracy: 1.0000
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- Training Loss: 0.0000
169
- Validation Loss: 0.0000
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  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 1.0000
173
  Validation Accuracy: 1.0000
174
  Training Loss: 0.0000
175
- Validation Loss: 0.0000
176
  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 1.0000
179
  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
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5
+ Validation Accuracy: 0.9990
6
+ Training Loss: 0.0726
7
+ Validation Loss: 0.0112
8
  --------------------------------------------------
9
  Epoch 2
10
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11
+ Validation Accuracy: 0.9996
12
+ Training Loss: 0.0103
13
+ Validation Loss: 0.0048
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9992
17
+ Validation Accuracy: 0.9996
18
+ Training Loss: 0.0049
19
+ Validation Loss: 0.0032
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9993
23
+ Validation Accuracy: 0.9998
24
+ Training Loss: 0.0033
25
+ Validation Loss: 0.0021
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9995
29
+ Validation Accuracy: 0.9998
30
+ Training Loss: 0.0025
31
+ Validation Loss: 0.0016
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9997
35
+ Validation Accuracy: 0.9998
36
+ Training Loss: 0.0018
37
+ Validation Loss: 0.0012
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9999
41
+ Validation Accuracy: 0.9998
42
+ Training Loss: 0.0012
43
+ Validation Loss: 0.0014
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9998
47
+ Validation Accuracy: 0.9998
48
+ Training Loss: 0.0011
49
+ Validation Loss: 0.0019
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9997
53
  Validation Accuracy: 1.0000
54
+ Training Loss: 0.0010
55
+ Validation Loss: 0.0006
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9998
59
  Validation Accuracy: 1.0000
60
+ Training Loss: 0.0008
61
+ Validation Loss: 0.0004
62
  --------------------------------------------------
63
  Epoch 11
64
  Training Accuracy: 0.9999
65
  Validation Accuracy: 1.0000
66
+ Training Loss: 0.0005
67
+ Validation Loss: 0.0004
68
  --------------------------------------------------
69
  Epoch 12
70
  Training Accuracy: 1.0000
71
+ Validation Accuracy: 0.9998
72
+ Training Loss: 0.0005
73
+ Validation Loss: 0.0006
74
  --------------------------------------------------
75
  Epoch 13
76
  Training Accuracy: 1.0000
77
  Validation Accuracy: 1.0000
78
+ Training Loss: 0.0003
79
+ Validation Loss: 0.0004
80
  --------------------------------------------------
81
  Epoch 14
82
+ Training Accuracy: 0.9999
83
+ Validation Accuracy: 0.9998
84
+ Training Loss: 0.0004
85
+ Validation Loss: 0.0003
86
  --------------------------------------------------
87
  Epoch 15
88
  Training Accuracy: 0.9999
89
  Validation Accuracy: 1.0000
90
+ Training Loss: 0.0003
91
+ Validation Loss: 0.0003
92
  --------------------------------------------------
93
  Epoch 16
94
+ Training Accuracy: 0.9999
95
+ Validation Accuracy: 0.9998
96
+ Training Loss: 0.0003
97
+ Validation Loss: 0.0005
98
  --------------------------------------------------
99
  Epoch 17
100
+ Training Accuracy: 0.9999
101
+ Validation Accuracy: 0.9998
102
+ Training Loss: 0.0004
103
+ Validation Loss: 0.0004
104
  --------------------------------------------------
105
  Epoch 18
106
+ Training Accuracy: 0.9998
107
  Validation Accuracy: 1.0000
108
+ Training Loss: 0.0004
109
+ Validation Loss: 0.0002
110
  --------------------------------------------------
111
  Epoch 19
112
+ Training Accuracy: 0.9998
113
  Validation Accuracy: 1.0000
114
+ Training Loss: 0.0004
115
+ Validation Loss: 0.0001
116
  --------------------------------------------------
117
  Epoch 20
118
+ Training Accuracy: 0.9999
119
  Validation Accuracy: 1.0000
120
+ Training Loss: 0.0003
121
+ Validation Loss: 0.0002
122
  --------------------------------------------------
123
  Epoch 21
124
+ Training Accuracy: 0.9999
125
+ Validation Accuracy: 0.9998
126
+ Training Loss: 0.0002
127
+ Validation Loss: 0.0003
128
  --------------------------------------------------
129
  Epoch 22
130
+ Training Accuracy: 0.9999
131
+ Validation Accuracy: 0.9998
132
+ Training Loss: 0.0005
133
+ Validation Loss: 0.0003
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: 0.0005
146
  --------------------------------------------------
147
  Epoch 25
148
  Training Accuracy: 1.0000
149
+ Validation Accuracy: 0.9998
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: 0.0005
158
  --------------------------------------------------
159
  Epoch 27
160
+ Training Accuracy: 0.9998
161
  Validation Accuracy: 1.0000
162
+ Training Loss: 0.0003
163
+ Validation Loss: 0.0001
164
  --------------------------------------------------
165
  Epoch 28
166
+ Training Accuracy: 0.9999
167
+ Validation Accuracy: 0.9998
168
+ Training Loss: 0.0001
169
+ Validation Loss: 0.0003
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 1.0000
173
  Validation Accuracy: 1.0000
174
  Training Loss: 0.0000
175
+ Validation Loss: 0.0002
176
  --------------------------------------------------
177
  Epoch 30
178
+ Training Accuracy: 0.9999
179
  Validation Accuracy: 1.0000
180
+ Training Loss: 0.0003
181
+ Validation Loss: 0.0002
182
  --------------------------------------------------
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  AUC: 1.0000
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- MCC: 1.0000
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- Cohen's Kappa: 1.0000
9
- 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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  Recall: 1.0000
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  Sensitivity: 1.0000
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  AUC: 1.0000
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+ MCC: 0.9992
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+ Balanced Accuracy: 0.9996
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+ Jaccard Index: 0.9992
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+ Log Loss: 0.0010
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9876
5
- Validation Accuracy: 0.9992
6
- Training Loss: 0.0368
7
- Validation Loss: 0.0040
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9992
11
- Validation Accuracy: 1.0000
12
- Training Loss: 0.0042
13
- Validation Loss: 0.0014
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9998
17
- Validation Accuracy: 1.0000
18
- Training Loss: 0.0016
19
- Validation Loss: 0.0008
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9997
23
- Validation Accuracy: 1.0000
24
- Training Loss: 0.0011
25
- Validation Loss: 0.0005
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9999
29
- Validation Accuracy: 1.0000
30
- Training Loss: 0.0007
31
- Validation Loss: 0.0003
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9999
35
- Validation Accuracy: 1.0000
36
- Training Loss: 0.0005
37
- Validation Loss: 0.0002
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9999
41
- Validation Accuracy: 1.0000
42
- Training Loss: 0.0005
43
- Validation Loss: 0.0001
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 1.0000
47
- Validation Accuracy: 1.0000
48
- Training Loss: 0.0002
49
- Validation Loss: 0.0001
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 1.0000
53
- Validation Accuracy: 1.0000
54
- Training Loss: 0.0002
55
- Validation Loss: 0.0001
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 1.0000
59
- Validation Accuracy: 1.0000
60
- Training Loss: 0.0001
61
- Validation Loss: 0.0001
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 1.0000
65
- Validation Accuracy: 1.0000
66
- Training Loss: 0.0001
67
- Validation Loss: 0.0001
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 1.0000
71
- Validation Accuracy: 1.0000
72
- Training Loss: 0.0001
73
- Validation Loss: 0.0001
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 1.0000
77
- Validation Accuracy: 1.0000
78
- Training Loss: 0.0002
79
- Validation Loss: 0.0000
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 1.0000
83
- Validation Accuracy: 1.0000
84
- Training Loss: 0.0000
85
- Validation Loss: 0.0000
86
  --------------------------------------------------
87
  Epoch 15
88
  Training Accuracy: 1.0000
89
- Validation Accuracy: 1.0000
90
- Training Loss: 0.0001
91
- Validation Loss: 0.0000
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 1.0000
95
- Validation Accuracy: 1.0000
96
- Training Loss: 0.0000
97
- Validation Loss: 0.0000
98
  --------------------------------------------------
99
  Epoch 17
100
  Training Accuracy: 0.9999
101
  Validation Accuracy: 1.0000
102
- Training Loss: 0.0001
103
- Validation Loss: 0.0000
104
  --------------------------------------------------
105
  Epoch 18
106
  Training Accuracy: 1.0000
107
- Validation Accuracy: 1.0000
108
- Training Loss: 0.0001
109
- Validation Loss: 0.0000
110
  --------------------------------------------------
111
  Epoch 19
112
  Training Accuracy: 0.9999
113
- Validation Accuracy: 1.0000
114
- Training Loss: 0.0002
115
- Validation Loss: 0.0000
116
  --------------------------------------------------
117
  Epoch 20
118
  Training Accuracy: 1.0000
119
- Validation Accuracy: 1.0000
120
  Training Loss: 0.0001
121
- Validation Loss: 0.0001
122
  --------------------------------------------------
123
  Epoch 21
124
  Training Accuracy: 1.0000
125
- Validation Accuracy: 1.0000
126
- Training Loss: 0.0000
127
- Validation Loss: 0.0000
128
  --------------------------------------------------
129
  Epoch 22
130
  Training Accuracy: 1.0000
131
- Validation Accuracy: 1.0000
132
- Training Loss: 0.0000
133
- Validation Loss: 0.0000
134
  --------------------------------------------------
135
  Epoch 23
136
  Training Accuracy: 1.0000
137
- Validation Accuracy: 1.0000
138
- Training Loss: 0.0000
139
- Validation Loss: 0.0000
140
  --------------------------------------------------
141
  Epoch 24
142
  Training Accuracy: 1.0000
143
- Validation Accuracy: 1.0000
144
  Training Loss: 0.0001
145
- Validation Loss: 0.0000
146
  --------------------------------------------------
147
  Epoch 25
148
  Training Accuracy: 1.0000
149
  Validation Accuracy: 1.0000
150
  Training Loss: 0.0001
151
- Validation Loss: 0.0000
152
  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 1.0000
155
  Validation Accuracy: 1.0000
156
- Training Loss: 0.0001
157
- Validation Loss: 0.0000
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 1.0000
161
- Validation Accuracy: 1.0000
162
- Training Loss: 0.0000
163
- Validation Loss: 0.0000
164
  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 1.0000
167
  Validation Accuracy: 1.0000
168
- Training Loss: 0.0000
169
- Validation Loss: 0.0000
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 1.0000
173
  Validation Accuracy: 1.0000
174
- Training Loss: 0.0000
175
- Validation Loss: 0.0000
176
  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 1.0000
179
  Validation Accuracy: 1.0000
180
- Training Loss: 0.0000
181
- Validation Loss: 0.0000
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9803
5
+ Validation Accuracy: 0.9986
6
+ Training Loss: 0.0671
7
+ Validation Loss: 0.0125
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9979
11
+ Validation Accuracy: 0.9990
12
+ Training Loss: 0.0106
13
+ Validation Loss: 0.0057
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9992
17
+ Validation Accuracy: 0.9994
18
+ Training Loss: 0.0048
19
+ Validation Loss: 0.0032
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9993
23
+ Validation Accuracy: 0.9996
24
+ Training Loss: 0.0035
25
+ Validation Loss: 0.0031
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9998
29
+ Validation Accuracy: 0.9998
30
+ Training Loss: 0.0018
31
+ Validation Loss: 0.0022
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9997
35
+ Validation Accuracy: 0.9998
36
+ Training Loss: 0.0017
37
+ Validation Loss: 0.0018
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9998
41
+ Validation Accuracy: 0.9998
42
+ Training Loss: 0.0014
43
+ Validation Loss: 0.0018
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9998
47
+ Validation Accuracy: 0.9998
48
+ Training Loss: 0.0010
49
+ Validation Loss: 0.0010
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9999
53
+ Validation Accuracy: 0.9998
54
+ Training Loss: 0.0007
55
+ Validation Loss: 0.0010
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9998
59
+ Validation Accuracy: 0.9996
60
+ Training Loss: 0.0008
61
+ Validation Loss: 0.0014
62
  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 0.9999
65
+ Validation Accuracy: 0.9998
66
+ Training Loss: 0.0004
67
+ Validation Loss: 0.0006
68
  --------------------------------------------------
69
  Epoch 12
70
+ Training Accuracy: 0.9998
71
+ Validation Accuracy: 0.9998
72
+ Training Loss: 0.0007
73
+ Validation Loss: 0.0009
74
  --------------------------------------------------
75
  Epoch 13
76
+ Training Accuracy: 0.9998
77
+ Validation Accuracy: 0.9998
78
+ Training Loss: 0.0005
79
+ Validation Loss: 0.0007
80
  --------------------------------------------------
81
  Epoch 14
82
+ Training Accuracy: 0.9999
83
+ Validation Accuracy: 0.9998
84
+ Training Loss: 0.0004
85
+ Validation Loss: 0.0006
86
  --------------------------------------------------
87
  Epoch 15
88
  Training Accuracy: 1.0000
89
+ Validation Accuracy: 0.9996
90
+ Training Loss: 0.0002
91
+ Validation Loss: 0.0011
92
  --------------------------------------------------
93
  Epoch 16
94
+ Training Accuracy: 0.9999
95
+ Validation Accuracy: 0.9998
96
+ Training Loss: 0.0003
97
+ Validation Loss: 0.0005
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  --------------------------------------------------
99
  Epoch 17
100
  Training Accuracy: 0.9999
101
  Validation Accuracy: 1.0000
102
+ Training Loss: 0.0003
103
+ Validation Loss: 0.0002
104
  --------------------------------------------------
105
  Epoch 18
106
  Training Accuracy: 1.0000
107
+ Validation Accuracy: 0.9998
108
+ Training Loss: 0.0002
109
+ Validation Loss: 0.0006
110
  --------------------------------------------------
111
  Epoch 19
112
  Training Accuracy: 0.9999
113
+ Validation Accuracy: 0.9998
114
+ Training Loss: 0.0003
115
+ Validation Loss: 0.0008
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: 0.9998
126
+ Training Loss: 0.0001
127
+ Validation Loss: 0.0003
128
  --------------------------------------------------
129
  Epoch 22
130
  Training Accuracy: 1.0000
131
+ Validation Accuracy: 0.9998
132
+ Training Loss: 0.0001
133
+ Validation Loss: 0.0003
134
  --------------------------------------------------
135
  Epoch 23
136
  Training Accuracy: 1.0000
137
+ Validation Accuracy: 0.9998
138
+ Training Loss: 0.0001
139
+ Validation Loss: 0.0002
140
  --------------------------------------------------
141
  Epoch 24
142
  Training Accuracy: 1.0000
143
+ Validation Accuracy: 0.9998
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  --------------------------------------------------
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  Validation Accuracy: 1.0000
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  Training Loss: 0.0001
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  --------------------------------------------------
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  --------------------------------------------------
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  --------------------------------------------------
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  --------------------------------------------------
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 30
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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- Balanced Accuracy: 1.0000
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  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9898
5
- Validation Accuracy: 1.0000
6
- Training Loss: 0.0357
7
- Validation Loss: 0.0031
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  --------------------------------------------------
9
  Epoch 2
10
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- Validation Accuracy: 1.0000
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- Training Loss: 0.0042
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- Validation Loss: 0.0011
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  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9997
17
- Validation Accuracy: 1.0000
18
- Training Loss: 0.0016
19
- Validation Loss: 0.0007
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9997
23
- Validation Accuracy: 1.0000
24
- Training Loss: 0.0011
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- Validation Loss: 0.0005
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9999
29
- Validation Accuracy: 1.0000
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- Training Loss: 0.0007
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- Validation Loss: 0.0002
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  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9999
35
- Validation Accuracy: 1.0000
36
- Training Loss: 0.0004
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- Validation Loss: 0.0002
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  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9999
41
- Validation Accuracy: 1.0000
42
- Training Loss: 0.0003
43
- Validation Loss: 0.0002
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  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9999
47
- Validation Accuracy: 1.0000
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- Training Loss: 0.0003
49
- Validation Loss: 0.0001
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 1.0000
53
- Validation Accuracy: 1.0000
54
- Training Loss: 0.0002
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- Validation Loss: 0.0001
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  --------------------------------------------------
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: 0.9999
66
- Training Loss: 0.0001
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- Validation Loss: 0.0002
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  --------------------------------------------------
69
  Epoch 12
70
  Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
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- Training Loss: 0.0001
73
- Validation Loss: 0.0001
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  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 1.0000
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: 0.9999
83
- Validation Accuracy: 1.0000
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- Training Loss: 0.0003
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- Validation Loss: 0.0000
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  --------------------------------------------------
87
  Epoch 15
88
- 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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  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
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- Training Loss: 0.0001
97
- Validation Loss: 0.0000
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  --------------------------------------------------
99
  Epoch 17
100
  Training Accuracy: 1.0000
101
- Validation Accuracy: 0.9999
102
- Training Loss: 0.0001
103
- Validation Loss: 0.0001
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  --------------------------------------------------
105
  Epoch 18
106
  Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
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  Training Loss: 0.0002
109
- Validation Loss: 0.0000
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  --------------------------------------------------
111
  Epoch 19
112
  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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  --------------------------------------------------
117
  Epoch 20
118
- 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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  --------------------------------------------------
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: 0.0000
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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: 0.9999
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- Training Loss: 0.0001
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  Validation Loss: 0.0002
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  --------------------------------------------------
141
  Epoch 24
142
- 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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  --------------------------------------------------
147
  Epoch 25
148
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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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  --------------------------------------------------
153
  Epoch 26
154
- 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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  --------------------------------------------------
159
  Epoch 27
160
  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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  --------------------------------------------------
165
  Epoch 28
166
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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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  --------------------------------------------------
171
  Epoch 29
172
  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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  --------------------------------------------------
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  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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  --------------------------------------------------
 
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  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
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5
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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
16
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  --------------------------------------------------
21
  Epoch 4
22
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24
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25
+ Validation Loss: 0.0021
26
  --------------------------------------------------
27
  Epoch 5
28
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29
+ Validation Accuracy: 0.9998
30
+ Training Loss: 0.0024
31
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32
  --------------------------------------------------
33
  Epoch 6
34
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36
+ Training Loss: 0.0016
37
+ Validation Loss: 0.0014
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  --------------------------------------------------
39
  Epoch 7
40
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41
+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0013
43
+ Validation Loss: 0.0013
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  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9998
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0011
49
+ Validation Loss: 0.0009
50
  --------------------------------------------------
51
  Epoch 9
52
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0007
55
+ Validation Loss: 0.0011
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  --------------------------------------------------
57
  Epoch 10
58
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0008
61
+ Validation Loss: 0.0008
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  --------------------------------------------------
63
  Epoch 11
64
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0006
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+ Validation Loss: 0.0007
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  --------------------------------------------------
69
  Epoch 12
70
  Training Accuracy: 1.0000
71
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+ Training Loss: 0.0004
73
+ Validation Loss: 0.0006
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  --------------------------------------------------
75
  Epoch 13
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+ Validation Loss: 0.0006
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  --------------------------------------------------
81
  Epoch 14
82
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+ Validation Accuracy: 0.9998
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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 15
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0005
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+ Validation Loss: 0.0007
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  --------------------------------------------------
93
  Epoch 16
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0003
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  --------------------------------------------------
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  Epoch 17
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  Training Accuracy: 1.0000
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  --------------------------------------------------
105
  Epoch 18
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  Training Accuracy: 1.0000
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  Training Loss: 0.0002
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  --------------------------------------------------
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  Epoch 19
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  Training Accuracy: 1.0000
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+ Validation Accuracy: 0.9996
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+ Validation Loss: 0.0007
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  --------------------------------------------------
117
  Epoch 20
118
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0003
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+ Validation Loss: 0.0002
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  --------------------------------------------------
123
  Epoch 21
124
  Training Accuracy: 1.0000
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+ Validation Accuracy: 0.9998
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+ Training Loss: 0.0001
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+ Validation Loss: 0.0002
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  --------------------------------------------------
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  Epoch 22
130
  Training Accuracy: 1.0000
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+ Training Loss: 0.0001
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+ Validation Loss: 0.0004
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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: 0.0002
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  Validation Loss: 0.0002
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  --------------------------------------------------
141
  Epoch 24
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0005
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+ Validation Loss: 0.0003
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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: 0.0001
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  --------------------------------------------------
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  Epoch 26
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0004
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+ Validation Loss: 0.0001
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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: 0.0001
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+ Validation Loss: 0.0003
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  --------------------------------------------------
165
  Epoch 28
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0002
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+ Validation Loss: 0.0002
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  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
177
  Epoch 30
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  Training Accuracy: 1.0000
179
  Validation Accuracy: 1.0000
180
  Training Loss: 0.0000
181
+ Validation Loss: 0.0003
182
  --------------------------------------------------
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  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9876
5
- Validation Accuracy: 0.9997
6
- Training Loss: 0.0391
7
- Validation Loss: 0.0039
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9994
11
  Validation Accuracy: 0.9994
12
- Training Loss: 0.0041
13
- Validation Loss: 0.0023
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9997
17
- Validation Accuracy: 1.0000
18
- Training Loss: 0.0017
19
- Validation Loss: 0.0008
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9999
23
- Validation Accuracy: 1.0000
24
- Training Loss: 0.0010
25
- Validation Loss: 0.0006
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9999
29
- Validation Accuracy: 1.0000
30
- Training Loss: 0.0006
31
- Validation Loss: 0.0003
32
  --------------------------------------------------
33
  Epoch 6
34
  Training Accuracy: 0.9999
35
- Validation Accuracy: 1.0000
36
- Training Loss: 0.0005
37
- Validation Loss: 0.0003
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 1.0000
41
- Validation Accuracy: 1.0000
42
- Training Loss: 0.0003
43
- Validation Loss: 0.0002
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 1.0000
47
- Validation Accuracy: 1.0000
48
- Training Loss: 0.0002
49
- Validation Loss: 0.0001
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 1.0000
53
- Validation Accuracy: 1.0000
54
- Training Loss: 0.0002
55
- Validation Loss: 0.0002
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 1.0000
59
- Validation Accuracy: 1.0000
60
- Training Loss: 0.0001
61
- Validation Loss: 0.0000
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
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- Training Loss: 0.0001
67
- Validation Loss: 0.0000
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  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
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- Training Loss: 0.0001
73
- Validation Loss: 0.0001
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  --------------------------------------------------
75
  Epoch 13
76
- 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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  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
84
- Training Loss: 0.0001
85
- Validation Loss: 0.0000
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  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 1.0000
89
- Validation Accuracy: 1.0000
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- Training Loss: 0.0001
91
- Validation Loss: 0.0000
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
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- Training Loss: 0.0001
97
- Validation Loss: 0.0000
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  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 1.0000
101
- Validation Accuracy: 0.9999
102
- Training Loss: 0.0001
103
- Validation Loss: 0.0001
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
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- Training Loss: 0.0000
109
- Validation Loss: 0.0000
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  --------------------------------------------------
111
  Epoch 19
112
  Training Accuracy: 1.0000
113
- Validation Accuracy: 1.0000
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- Training Loss: 0.0000
115
- Validation Loss: 0.0000
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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: 0.0001
121
- Validation Loss: 0.0000
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
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- Training Loss: 0.0000
127
- Validation Loss: 0.0000
128
  --------------------------------------------------
129
  Epoch 22
130
- 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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  --------------------------------------------------
135
  Epoch 23
136
  Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
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  Training Loss: 0.0001
139
- Validation Loss: 0.0000
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  --------------------------------------------------
141
  Epoch 24
142
  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
148
  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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  --------------------------------------------------
153
  Epoch 26
154
- 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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  --------------------------------------------------
159
  Epoch 27
160
  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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  --------------------------------------------------
165
  Epoch 28
166
  Training Accuracy: 1.0000
167
- Validation Accuracy: 1.0000
168
- Training Loss: 0.0000
169
- Validation Loss: 0.0000
170
  --------------------------------------------------
171
  Epoch 29
172
- Training Accuracy: 1.0000
173
- Validation Accuracy: 1.0000
174
- Training Loss: 0.0000
175
- Validation Loss: 0.0000
176
  --------------------------------------------------
177
  Epoch 30
178
  Training Accuracy: 1.0000
179
- Validation Accuracy: 1.0000
180
- Training Loss: 0.0000
181
- Validation Loss: 0.0000
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9760
5
+ Validation Accuracy: 0.9988
6
+ Training Loss: 0.0762
7
+ Validation Loss: 0.0123
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9978
11
  Validation Accuracy: 0.9994
12
+ Training Loss: 0.0109
13
+ Validation Loss: 0.0057
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9988
17
+ Validation Accuracy: 0.9996
18
+ Training Loss: 0.0057
19
+ Validation Loss: 0.0039
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9996
23
+ Validation Accuracy: 0.9998
24
+ Training Loss: 0.0030
25
+ Validation Loss: 0.0023
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9996
29
+ Validation Accuracy: 0.9998
30
+ Training Loss: 0.0025
31
+ Validation Loss: 0.0022
32
  --------------------------------------------------
33
  Epoch 6
34
  Training Accuracy: 0.9999
35
+ Validation Accuracy: 0.9998
36
+ Training Loss: 0.0015
37
+ Validation Loss: 0.0013
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9998
41
+ Validation Accuracy: 0.9998
42
+ Training Loss: 0.0013
43
+ Validation Loss: 0.0015
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9999
47
+ Validation Accuracy: 0.9998
48
+ Training Loss: 0.0010
49
+ Validation Loss: 0.0013
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9999
53
+ Validation Accuracy: 0.9998
54
+ Training Loss: 0.0010
55
+ Validation Loss: 0.0011
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9998
59
+ Validation Accuracy: 0.9998
60
+ Training Loss: 0.0008
61
+ Validation Loss: 0.0012
62
  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 0.9999
65
+ Validation Accuracy: 0.9998
66
+ Training Loss: 0.0006
67
+ Validation Loss: 0.0010
68
  --------------------------------------------------
69
  Epoch 12
70
+ Training Accuracy: 0.9999
71
+ Validation Accuracy: 0.9998
72
+ Training Loss: 0.0004
73
+ Validation Loss: 0.0007
74
  --------------------------------------------------
75
  Epoch 13
76
+ Training Accuracy: 0.9999
77
+ Validation Accuracy: 0.9998
78
+ Training Loss: 0.0005
79
+ Validation Loss: 0.0007
80
  --------------------------------------------------
81
  Epoch 14
82
+ Training Accuracy: 0.9999
83
+ Validation Accuracy: 0.9998
84
+ Training Loss: 0.0004
85
+ Validation Loss: 0.0005
86
  --------------------------------------------------
87
  Epoch 15
88
+ Training Accuracy: 0.9999
89
+ Validation Accuracy: 0.9998
90
+ Training Loss: 0.0004
91
+ Validation Loss: 0.0009
92
  --------------------------------------------------
93
  Epoch 16
94
+ Training Accuracy: 0.9998
95
+ Validation Accuracy: 0.9998
96
+ Training Loss: 0.0007
97
+ Validation Loss: 0.0003
98
  --------------------------------------------------
99
  Epoch 17
100
+ Training Accuracy: 0.9998
101
+ Validation Accuracy: 0.9998
102
+ Training Loss: 0.0005
103
+ Validation Loss: 0.0003
104
  --------------------------------------------------
105
  Epoch 18
106
+ Training Accuracy: 0.9999
107
+ Validation Accuracy: 0.9998
108
+ Training Loss: 0.0003
109
+ Validation Loss: 0.0004
110
  --------------------------------------------------
111
  Epoch 19
112
  Training Accuracy: 1.0000
113
+ Validation Accuracy: 0.9998
114
+ Training Loss: 0.0001
115
+ Validation Loss: 0.0003
116
  --------------------------------------------------
117
  Epoch 20
118
  Training Accuracy: 1.0000
119
+ Validation Accuracy: 0.9998
120
  Training Loss: 0.0001
121
+ Validation Loss: 0.0003
122
  --------------------------------------------------
123
  Epoch 21
124
+ Training Accuracy: 0.9999
125
+ Validation Accuracy: 0.9998
126
+ Training Loss: 0.0002
127
+ Validation Loss: 0.0004
128
  --------------------------------------------------
129
  Epoch 22
130
+ Training Accuracy: 0.9999
131
+ Validation Accuracy: 0.9998
132
+ Training Loss: 0.0004
133
+ Validation Loss: 0.0004
134
  --------------------------------------------------
135
  Epoch 23
136
  Training Accuracy: 1.0000
137
+ Validation Accuracy: 0.9998
138
  Training Loss: 0.0001
139
+ Validation Loss: 0.0009
140
  --------------------------------------------------
141
  Epoch 24
142
  Training Accuracy: 1.0000
143
+ Validation Accuracy: 0.9998
144
+ Training Loss: 0.0001
145
+ Validation Loss: 0.0005
146
  --------------------------------------------------
147
  Epoch 25
148
  Training Accuracy: 1.0000
149
+ Validation Accuracy: 0.9998
150
  Training Loss: 0.0001
151
+ Validation Loss: 0.0006
152
  --------------------------------------------------
153
  Epoch 26
154
+ Training Accuracy: 0.9999
155
+ Validation Accuracy: 0.9998
156
+ Training Loss: 0.0003
157
+ Validation Loss: 0.0006
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 1.0000
161
+ Validation Accuracy: 0.9998
162
+ Training Loss: 0.0001
163
+ Validation Loss: 0.0002
164
  --------------------------------------------------
165
  Epoch 28
166
  Training Accuracy: 1.0000
167
+ Validation Accuracy: 0.9998
168
+ Training Loss: 0.0001
169
+ Validation Loss: 0.0005
170
  --------------------------------------------------
171
  Epoch 29
172
+ Training Accuracy: 0.9999
173
+ Validation Accuracy: 0.9996
174
+ Training Loss: 0.0002
175
+ Validation Loss: 0.0011
176
  --------------------------------------------------
177
  Epoch 30
178
  Training Accuracy: 1.0000
179
+ Validation Accuracy: 0.9998
180
+ Training Loss: 0.0001
181
+ Validation Loss: 0.0006
182
  --------------------------------------------------