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  1. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/HELMINTHS_BINARY_ConvNeXtBase_Round1.keras +1 -1
  2. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/classification_metrics.txt +1 -1
  3. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/confusion_matrix.png +0 -0
  4. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/testing_metrics.txt +1 -1
  5. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/training_accuracy.png +0 -0
  6. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/training_loss.png +0 -0
  7. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/training_validation_metrics.txt +103 -103
  8. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/HELMINTHS_BINARY_ConvNeXtBase_Round2.keras +1 -1
  9. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/classification_metrics.txt +1 -1
  10. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/confusion_matrix.png +0 -0
  11. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/testing_metrics.txt +1 -1
  12. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/training_accuracy.png +0 -0
  13. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/training_loss.png +0 -0
  14. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/training_validation_metrics.txt +98 -98
  15. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/HELMINTHS_BINARY_ConvNeXtBase_Round3.keras +1 -1
  16. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/classification_metrics.txt +1 -1
  17. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/confusion_matrix.png +0 -0
  18. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/testing_metrics.txt +1 -1
  19. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/training_accuracy.png +0 -0
  20. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/training_loss.png +0 -0
  21. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/training_validation_metrics.txt +99 -99
  22. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/HELMINTHS_BINARY_ConvNeXtBase_Round4.keras +1 -1
  23. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/classification_metrics.txt +1 -1
  24. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/confusion_matrix.png +0 -0
  25. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/testing_metrics.txt +1 -1
  26. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/training_accuracy.png +0 -0
  27. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/training_loss.png +0 -0
  28. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/training_validation_metrics.txt +97 -97
  29. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/HELMINTHS_BINARY_ConvNeXtBase_Round5.keras +1 -1
  30. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/classification_metrics.txt +1 -1
  31. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/confusion_matrix.png +0 -0
  32. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/testing_metrics.txt +1 -1
  33. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/training_accuracy.png +0 -0
  34. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/training_loss.png +0 -0
  35. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/training_validation_metrics.txt +102 -102
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ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/classification_metrics.txt CHANGED
@@ -8,5 +8,5 @@ MCC: 1.0000
8
  Cohen's Kappa: 1.0000
9
  Balanced Accuracy: 1.0000
10
  Jaccard Index: 1.0000
11
- Log Loss: 0.0001
12
  F0.5-Score: 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
ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/confusion_matrix.png CHANGED
ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/testing_metrics.txt CHANGED
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1
  accuracy: 1.0000
2
  auc: 1.0000
3
- loss: 0.0001
 
1
  accuracy: 1.0000
2
  auc: 1.0000
3
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ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/training_accuracy.png CHANGED
ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/training_loss.png CHANGED
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: 0.9839
5
- Validation Accuracy: 0.9918
6
- Training Loss: 0.0600
7
- Validation Loss: 0.0267
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9964
11
- Validation Accuracy: 0.9941
12
- Training Loss: 0.0136
13
- Validation Loss: 0.0165
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9984
17
- Validation Accuracy: 0.9961
18
- Training Loss: 0.0075
19
- Validation Loss: 0.0110
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9989
23
- Validation Accuracy: 0.9967
24
- Training Loss: 0.0050
25
- Validation Loss: 0.0082
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9992
29
- Validation Accuracy: 0.9980
30
- Training Loss: 0.0033
31
- Validation Loss: 0.0058
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9994
35
- Validation Accuracy: 0.9980
36
- Training Loss: 0.0024
37
- Validation Loss: 0.0053
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9996
41
- Validation Accuracy: 0.9980
42
- Training Loss: 0.0019
43
- Validation Loss: 0.0039
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9996
47
- Validation Accuracy: 0.9980
48
- Training Loss: 0.0015
49
- Validation Loss: 0.0042
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9996
53
- Validation Accuracy: 0.9990
54
- Training Loss: 0.0015
55
- Validation Loss: 0.0027
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9998
59
- Validation Accuracy: 0.9987
60
- Training Loss: 0.0011
61
- Validation Loss: 0.0027
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9997
65
- Validation Accuracy: 0.9980
66
- Training Loss: 0.0011
67
- Validation Loss: 0.0037
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9998
71
- Validation Accuracy: 0.9984
72
- Training Loss: 0.0009
73
- Validation Loss: 0.0028
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9999
77
- Validation Accuracy: 0.9987
78
- Training Loss: 0.0007
79
- Validation Loss: 0.0024
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9997
83
- Validation Accuracy: 0.9990
84
- Training Loss: 0.0008
85
- Validation Loss: 0.0016
86
  --------------------------------------------------
87
  Epoch 15
88
  Training Accuracy: 1.0000
89
- Validation Accuracy: 0.9993
90
- Training Loss: 0.0005
91
- Validation Loss: 0.0014
92
  --------------------------------------------------
93
  Epoch 16
94
  Training Accuracy: 1.0000
95
- Validation Accuracy: 0.9993
96
- Training Loss: 0.0004
97
- Validation Loss: 0.0013
98
  --------------------------------------------------
99
  Epoch 17
100
  Training Accuracy: 1.0000
101
- Validation Accuracy: 0.9990
102
- Training Loss: 0.0004
103
- Validation Loss: 0.0013
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 0.9997
107
- Validation Accuracy: 0.9997
108
- Training Loss: 0.0008
109
- Validation Loss: 0.0010
110
  --------------------------------------------------
111
  Epoch 19
112
  Training Accuracy: 1.0000
113
- Validation Accuracy: 0.9993
114
- Training Loss: 0.0003
115
- Validation Loss: 0.0015
116
  --------------------------------------------------
117
  Epoch 20
118
  Training Accuracy: 1.0000
119
- Validation Accuracy: 0.9997
120
- Training Loss: 0.0003
121
- Validation Loss: 0.0009
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 0.9999
125
  Validation Accuracy: 1.0000
126
- Training Loss: 0.0004
127
- Validation Loss: 0.0007
128
  --------------------------------------------------
129
  Epoch 22
130
  Training Accuracy: 1.0000
131
- Validation Accuracy: 0.9997
132
  Training Loss: 0.0001
133
- Validation Loss: 0.0007
134
  --------------------------------------------------
135
  Epoch 23
136
  Training Accuracy: 1.0000
137
  Validation Accuracy: 1.0000
138
- Training Loss: 0.0002
139
- Validation Loss: 0.0007
140
  --------------------------------------------------
141
  Epoch 24
142
  Training Accuracy: 1.0000
143
- Validation Accuracy: 0.9997
144
- Training Loss: 0.0002
145
- Validation Loss: 0.0008
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 0.9999
149
- Validation Accuracy: 0.9997
150
- Training Loss: 0.0003
151
- Validation Loss: 0.0007
152
  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 0.9999
155
- Validation Accuracy: 0.9997
156
- Training Loss: 0.0003
157
- Validation Loss: 0.0006
158
  --------------------------------------------------
159
  Epoch 27
160
- Training Accuracy: 0.9998
161
  Validation Accuracy: 1.0000
162
- Training Loss: 0.0006
163
- Validation Loss: 0.0004
164
  --------------------------------------------------
165
  Epoch 28
166
  Training Accuracy: 1.0000
167
  Validation Accuracy: 1.0000
168
- Training Loss: 0.0002
169
- Validation Loss: 0.0003
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 1.0000
173
  Validation Accuracy: 1.0000
174
- Training Loss: 0.0001
175
- Validation Loss: 0.0004
176
  --------------------------------------------------
177
  Epoch 30
178
  Training Accuracy: 1.0000
179
- Validation Accuracy: 1.0000
180
- Training Loss: 0.0001
181
- Validation Loss: 0.0004
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
  --------------------------------------------------
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ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/classification_metrics.txt CHANGED
@@ -8,5 +8,5 @@ MCC: 1.0000
8
  Cohen's Kappa: 1.0000
9
  Balanced Accuracy: 1.0000
10
  Jaccard Index: 1.0000
11
- Log Loss: 0.0001
12
  F0.5-Score: 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
ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/confusion_matrix.png CHANGED
ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/testing_metrics.txt CHANGED
@@ -1,3 +1,3 @@
1
  accuracy: 1.0000
2
  auc: 1.0000
3
- loss: 0.0001
 
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  auc: 1.0000
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ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/training_accuracy.png CHANGED
ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/training_loss.png CHANGED
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: 0.9811
5
- Validation Accuracy: 0.9918
6
- Training Loss: 0.0647
7
- Validation Loss: 0.0285
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9968
11
- Validation Accuracy: 0.9957
12
- Training Loss: 0.0146
13
- Validation Loss: 0.0139
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9980
17
- Validation Accuracy: 0.9967
18
- Training Loss: 0.0074
19
- Validation Loss: 0.0094
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9993
23
- Validation Accuracy: 0.9977
24
- Training Loss: 0.0044
25
- Validation Loss: 0.0065
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9992
29
- Validation Accuracy: 0.9980
30
- Training Loss: 0.0036
31
- Validation Loss: 0.0054
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9993
35
- Validation Accuracy: 0.9984
36
- Training Loss: 0.0025
37
- Validation Loss: 0.0041
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9995
41
- Validation Accuracy: 0.9993
42
- Training Loss: 0.0021
43
- Validation Loss: 0.0029
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9992
47
- Validation Accuracy: 0.9997
48
- Training Loss: 0.0022
49
- Validation Loss: 0.0026
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9998
53
- Validation Accuracy: 0.9990
54
- Training Loss: 0.0012
55
- Validation Loss: 0.0028
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9998
59
- Validation Accuracy: 0.9990
60
- Training Loss: 0.0013
61
- Validation Loss: 0.0021
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9997
65
- Validation Accuracy: 0.9987
66
- Training Loss: 0.0012
67
- Validation Loss: 0.0025
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9997
71
- Validation Accuracy: 0.9993
72
- Training Loss: 0.0010
73
- Validation Loss: 0.0022
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9998
77
- Validation Accuracy: 0.9997
78
- Training Loss: 0.0010
79
- Validation Loss: 0.0013
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9999
83
- Validation Accuracy: 0.9997
84
- Training Loss: 0.0006
85
- Validation Loss: 0.0019
86
  --------------------------------------------------
87
  Epoch 15
88
  Training Accuracy: 0.9999
89
  Validation Accuracy: 1.0000
90
- Training Loss: 0.0006
91
- Validation Loss: 0.0009
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9999
95
  Validation Accuracy: 1.0000
96
- Training Loss: 0.0005
97
- Validation Loss: 0.0010
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 0.9999
101
  Validation Accuracy: 1.0000
102
- Training Loss: 0.0003
103
- Validation Loss: 0.0008
104
  --------------------------------------------------
105
  Epoch 18
106
  Training Accuracy: 1.0000
107
  Validation Accuracy: 1.0000
108
- Training Loss: 0.0003
109
- Validation Loss: 0.0008
110
  --------------------------------------------------
111
  Epoch 19
112
  Training Accuracy: 1.0000
113
  Validation Accuracy: 1.0000
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- Training Loss: 0.0003
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- Validation Loss: 0.0007
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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: 0.0003
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- Validation Loss: 0.0007
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  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 0.9999
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- Validation Accuracy: 1.0000
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- Training Loss: 0.0005
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- Validation Loss: 0.0008
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  --------------------------------------------------
129
  Epoch 22
130
  Training Accuracy: 1.0000
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- Validation Accuracy: 0.9997
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- Training Loss: 0.0001
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- Validation Loss: 0.0008
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  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 0.9999
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0005
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- Validation Loss: 0.0004
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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: 0.0002
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- Validation Loss: 0.0005
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  --------------------------------------------------
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  Epoch 25
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- Validation Accuracy: 0.9993
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- Training Loss: 0.0005
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- Validation Loss: 0.0012
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  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 0.9998
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0005
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- Validation Loss: 0.0006
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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: 0.0001
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- Validation Loss: 0.0004
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  --------------------------------------------------
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  Epoch 28
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0006
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- Validation Loss: 0.0003
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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: 0.0001
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- Validation Loss: 0.0003
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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: 0.0001
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- Validation Loss: 0.0002
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  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
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5
+ Validation Accuracy: 0.9996
6
+ Training Loss: 0.0373
7
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  --------------------------------------------------
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  Epoch 2
10
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11
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  --------------------------------------------------
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  Epoch 3
16
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17
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+ Training Loss: 0.0018
19
+ Validation Loss: 0.0008
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  --------------------------------------------------
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
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  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9999
35
+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0005
37
+ Validation Loss: 0.0002
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  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 1.0000
41
+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0003
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  --------------------------------------------------
45
  Epoch 8
46
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+ Validation Accuracy: 1.0000
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+ Validation Loss: 0.0001
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  --------------------------------------------------
51
  Epoch 9
52
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0003
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  --------------------------------------------------
57
  Epoch 10
58
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0002
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  --------------------------------------------------
63
  Epoch 11
64
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+ Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 12
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+ Training Loss: 0.0002
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  --------------------------------------------------
75
  Epoch 13
76
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  --------------------------------------------------
81
  Epoch 14
82
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0000
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  --------------------------------------------------
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  Epoch 15
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  Training Accuracy: 0.9999
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 16
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 17
100
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
105
  Epoch 18
106
  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 19
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
117
  Epoch 20
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
123
  Epoch 21
124
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+ Validation Accuracy: 0.9999
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+ Training Loss: 0.0000
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  --------------------------------------------------
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  Epoch 22
130
  Training Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 23
136
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 24
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 25
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  --------------------------------------------------
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  Epoch 26
154
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 27
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 28
166
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
177
  Epoch 30
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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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  --------------------------------------------------
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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: 0.9846
5
- Validation Accuracy: 0.9918
6
- Training Loss: 0.0611
7
- Validation Loss: 0.0264
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9961
11
- Validation Accuracy: 0.9961
12
- Training Loss: 0.0134
13
- Validation Loss: 0.0133
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9980
17
- Validation Accuracy: 0.9967
18
- Training Loss: 0.0078
19
- Validation Loss: 0.0106
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9991
23
- Validation Accuracy: 0.9974
24
- Training Loss: 0.0041
25
- Validation Loss: 0.0071
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9992
29
- Validation Accuracy: 0.9977
30
- Training Loss: 0.0039
31
- Validation Loss: 0.0054
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9995
35
- Validation Accuracy: 0.9980
36
- Training Loss: 0.0025
37
- Validation Loss: 0.0037
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9997
41
- Validation Accuracy: 0.9980
42
- Training Loss: 0.0019
43
- Validation Loss: 0.0049
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9993
47
- Validation Accuracy: 0.9980
48
- Training Loss: 0.0019
49
- Validation Loss: 0.0038
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9997
53
- Validation Accuracy: 0.9984
54
- Training Loss: 0.0016
55
- Validation Loss: 0.0028
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9996
59
- Validation Accuracy: 0.9993
60
- Training Loss: 0.0012
61
- Validation Loss: 0.0024
62
  --------------------------------------------------
63
  Epoch 11
64
  Training Accuracy: 1.0000
65
- Validation Accuracy: 0.9993
66
- Training Loss: 0.0007
67
- Validation Loss: 0.0026
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9999
71
- Validation Accuracy: 0.9993
72
- Training Loss: 0.0008
73
- Validation Loss: 0.0017
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9999
77
- Validation Accuracy: 0.9990
78
- Training Loss: 0.0007
79
- Validation Loss: 0.0020
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9998
83
- Validation Accuracy: 0.9997
84
- Training Loss: 0.0008
85
- Validation Loss: 0.0013
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9999
89
- Validation Accuracy: 0.9997
90
- Training Loss: 0.0007
91
- Validation Loss: 0.0013
92
  --------------------------------------------------
93
  Epoch 16
94
  Training Accuracy: 1.0000
95
- Validation Accuracy: 0.9997
96
- Training Loss: 0.0004
97
- Validation Loss: 0.0014
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 1.0000
101
- Validation Accuracy: 0.9997
102
- Training Loss: 0.0003
103
- Validation Loss: 0.0010
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 0.9999
107
  Validation Accuracy: 1.0000
108
- Training Loss: 0.0008
109
- Validation Loss: 0.0006
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0003
115
- Validation Loss: 0.0006
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  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 0.9999
119
  Validation Accuracy: 1.0000
120
- Training Loss: 0.0003
121
- Validation Loss: 0.0005
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 0.9999
125
  Validation Accuracy: 1.0000
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- Training Loss: 0.0002
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- Validation Loss: 0.0004
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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: 0.0005
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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: 0.0003
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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: 0.0002
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- Validation Loss: 0.0004
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  --------------------------------------------------
147
  Epoch 25
148
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0006
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- Validation Loss: 0.0005
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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: 0.0002
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- Validation Loss: 0.0002
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  --------------------------------------------------
159
  Epoch 27
160
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0004
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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: 0.0001
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- Validation Loss: 0.0002
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  --------------------------------------------------
171
  Epoch 29
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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: 0.0002
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  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 0.9999
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  Validation Accuracy: 1.0000
180
- Training Loss: 0.0003
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- Validation Loss: 0.0002
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  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
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5
+ Validation Accuracy: 0.9992
6
+ Training Loss: 0.0368
7
+ Validation Loss: 0.0040
8
  --------------------------------------------------
9
  Epoch 2
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0042
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+ Validation Loss: 0.0014
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  --------------------------------------------------
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  Epoch 3
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0016
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+ Validation Loss: 0.0008
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  --------------------------------------------------
21
  Epoch 4
22
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23
+ Validation Accuracy: 1.0000
24
+ Training Loss: 0.0011
25
+ Validation Loss: 0.0005
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  --------------------------------------------------
27
  Epoch 5
28
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0007
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+ Validation Loss: 0.0003
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  --------------------------------------------------
33
  Epoch 6
34
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35
+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0005
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+ Validation Loss: 0.0002
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  --------------------------------------------------
39
  Epoch 7
40
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0005
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+ Validation Loss: 0.0001
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  --------------------------------------------------
45
  Epoch 8
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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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  --------------------------------------------------
51
  Epoch 9
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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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  --------------------------------------------------
57
  Epoch 10
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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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  --------------------------------------------------
63
  Epoch 11
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+ Training Loss: 0.0001
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+ Validation Loss: 0.0001
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  --------------------------------------------------
69
  Epoch 12
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0001
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  --------------------------------------------------
75
  Epoch 13
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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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  --------------------------------------------------
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  Epoch 14
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0000
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  --------------------------------------------------
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  Epoch 15
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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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  --------------------------------------------------
93
  Epoch 16
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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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  --------------------------------------------------
99
  Epoch 17
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+ Training Loss: 0.0001
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  --------------------------------------------------
105
  Epoch 18
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  Validation Accuracy: 1.0000
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+ Validation Loss: 0.0000
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  --------------------------------------------------
111
  Epoch 19
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0002
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  --------------------------------------------------
117
  Epoch 20
118
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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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  --------------------------------------------------
123
  Epoch 21
124
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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
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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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  --------------------------------------------------
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: 0.0001
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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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+ Validation Loss: 0.0000
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  --------------------------------------------------
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  Epoch 26
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 27
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0000
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  --------------------------------------------------
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  Epoch 28
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 29
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
177
  Epoch 30
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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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ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/training_validation_metrics.txt CHANGED
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9819
5
- Validation Accuracy: 0.9931
6
- Training Loss: 0.0647
7
- Validation Loss: 0.0269
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9960
11
- Validation Accuracy: 0.9961
12
- Training Loss: 0.0143
13
- Validation Loss: 0.0145
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9976
17
- Validation Accuracy: 0.9967
18
- Training Loss: 0.0092
19
- Validation Loss: 0.0098
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9987
23
- Validation Accuracy: 0.9967
24
- Training Loss: 0.0053
25
- Validation Loss: 0.0075
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9991
29
- Validation Accuracy: 0.9977
30
- Training Loss: 0.0035
31
- Validation Loss: 0.0053
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9993
35
- Validation Accuracy: 0.9977
36
- Training Loss: 0.0029
37
- Validation Loss: 0.0049
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9996
41
- Validation Accuracy: 0.9977
42
- Training Loss: 0.0023
43
- Validation Loss: 0.0039
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9994
47
- Validation Accuracy: 0.9984
48
- Training Loss: 0.0021
49
- Validation Loss: 0.0029
50
  --------------------------------------------------
51
  Epoch 9
52
  Training Accuracy: 1.0000
53
- Validation Accuracy: 0.9987
54
- Training Loss: 0.0010
55
- Validation Loss: 0.0030
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9996
59
- Validation Accuracy: 0.9984
60
- Training Loss: 0.0014
61
- Validation Loss: 0.0033
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9996
65
- Validation Accuracy: 0.9997
66
- Training Loss: 0.0014
67
- Validation Loss: 0.0020
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9997
71
- Validation Accuracy: 0.9993
72
- Training Loss: 0.0010
73
- Validation Loss: 0.0017
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9999
77
- Validation Accuracy: 0.9997
78
- Training Loss: 0.0007
79
- Validation Loss: 0.0014
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 1.0000
83
- Validation Accuracy: 0.9993
84
- Training Loss: 0.0004
85
- Validation Loss: 0.0015
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9996
89
  Validation Accuracy: 1.0000
90
- Training Loss: 0.0012
91
- Validation Loss: 0.0011
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9996
95
  Validation Accuracy: 1.0000
96
- Training Loss: 0.0008
97
- Validation Loss: 0.0009
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 0.9999
101
- Validation Accuracy: 1.0000
102
- Training Loss: 0.0005
103
- Validation Loss: 0.0007
104
  --------------------------------------------------
105
  Epoch 18
106
  Training Accuracy: 1.0000
107
  Validation Accuracy: 1.0000
108
- Training Loss: 0.0003
109
- Validation Loss: 0.0008
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 0.9998
113
  Validation Accuracy: 1.0000
114
- Training Loss: 0.0005
115
- Validation Loss: 0.0010
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 0.9999
119
  Validation Accuracy: 1.0000
120
- Training Loss: 0.0003
121
- Validation Loss: 0.0008
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 0.9999
125
  Validation Accuracy: 1.0000
126
- Training Loss: 0.0004
127
- Validation Loss: 0.0007
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9996
131
  Validation Accuracy: 1.0000
132
- Training Loss: 0.0008
133
- Validation Loss: 0.0004
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: 0.9999
143
  Validation Accuracy: 1.0000
144
- Training Loss: 0.0005
145
- Validation Loss: 0.0004
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 0.9999
149
  Validation Accuracy: 1.0000
150
- Training Loss: 0.0004
151
- Validation Loss: 0.0004
152
  --------------------------------------------------
153
  Epoch 26
154
  Training Accuracy: 1.0000
155
  Validation Accuracy: 1.0000
156
- Training Loss: 0.0003
157
- Validation Loss: 0.0006
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 1.0000
161
  Validation Accuracy: 1.0000
162
- Training Loss: 0.0001
163
- Validation Loss: 0.0003
164
  --------------------------------------------------
165
  Epoch 28
166
  Training Accuracy: 1.0000
167
  Validation Accuracy: 1.0000
168
- Training Loss: 0.0001
169
- Validation Loss: 0.0002
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: 0.0004
182
  --------------------------------------------------
 
1
  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
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9990
11
+ Validation Accuracy: 1.0000
12
+ Training Loss: 0.0042
13
+ Validation Loss: 0.0011
14
  --------------------------------------------------
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
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: 0.0002
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9999
35
+ Validation Accuracy: 1.0000
36
+ Training Loss: 0.0004
37
+ Validation Loss: 0.0002
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9999
41
+ Validation Accuracy: 1.0000
42
+ Training Loss: 0.0003
43
+ Validation Loss: 0.0002
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: 0.0000
62
  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 1.0000
65
+ Validation Accuracy: 0.9999
66
+ Training Loss: 0.0001
67
+ Validation Loss: 0.0002
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: 0.9999
78
+ Training Loss: 0.0002
79
+ Validation Loss: 0.0002
80
  --------------------------------------------------
81
  Epoch 14
82
+ Training Accuracy: 0.9999
83
+ Validation Accuracy: 1.0000
84
+ Training Loss: 0.0003
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: 0.0001
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: 0.9999
102
+ Training Loss: 0.0001
103
+ Validation Loss: 0.0001
104
  --------------------------------------------------
105
  Epoch 18
106
  Training Accuracy: 1.0000
107
  Validation Accuracy: 1.0000
108
+ Training Loss: 0.0002
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: 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: 0.9999
138
  Training Loss: 0.0001
139
+ Validation Loss: 0.0002
140
  --------------------------------------------------
141
  Epoch 24
142
+ Training Accuracy: 1.0000
143
  Validation Accuracy: 1.0000
144
+ Training Loss: 0.0000
145
+ Validation Loss: 0.0001
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
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: 0.0001
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
  --------------------------------------------------
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  Jaccard Index: 1.0000
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  F0.5-Score: 1.0000
 
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9
  Balanced Accuracy: 1.0000
10
  Jaccard Index: 1.0000
11
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2
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3
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ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/training_validation_metrics.txt CHANGED
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9783
5
- Validation Accuracy: 0.9921
6
- Training Loss: 0.0724
7
- Validation Loss: 0.0268
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9963
11
- Validation Accuracy: 0.9961
12
- Training Loss: 0.0145
13
- Validation Loss: 0.0146
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9975
17
- Validation Accuracy: 0.9964
18
- Training Loss: 0.0083
19
- Validation Loss: 0.0110
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9990
23
- Validation Accuracy: 0.9967
24
- Training Loss: 0.0052
25
- Validation Loss: 0.0080
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9993
29
- Validation Accuracy: 0.9974
30
- Training Loss: 0.0035
31
- Validation Loss: 0.0066
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9994
35
- Validation Accuracy: 0.9987
36
- Training Loss: 0.0030
37
- Validation Loss: 0.0047
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9995
41
- Validation Accuracy: 0.9990
42
- Training Loss: 0.0023
43
- Validation Loss: 0.0034
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9993
47
- Validation Accuracy: 0.9990
48
- Training Loss: 0.0022
49
- Validation Loss: 0.0032
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9998
53
- Validation Accuracy: 0.9993
54
- Training Loss: 0.0019
55
- Validation Loss: 0.0027
56
  --------------------------------------------------
57
  Epoch 10
58
  Training Accuracy: 1.0000
59
- Validation Accuracy: 0.9993
60
- Training Loss: 0.0009
61
- Validation Loss: 0.0021
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9999
65
- Validation Accuracy: 0.9993
66
- Training Loss: 0.0012
67
- Validation Loss: 0.0022
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9999
71
- Validation Accuracy: 0.9997
72
- Training Loss: 0.0006
73
- Validation Loss: 0.0018
74
  --------------------------------------------------
75
  Epoch 13
76
  Training Accuracy: 1.0000
77
- Validation Accuracy: 0.9993
78
- Training Loss: 0.0005
79
- Validation Loss: 0.0019
80
  --------------------------------------------------
81
  Epoch 14
82
  Training Accuracy: 1.0000
83
- Validation Accuracy: 0.9997
84
- Training Loss: 0.0006
85
- Validation Loss: 0.0015
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9998
89
- Validation Accuracy: 0.9997
90
- Training Loss: 0.0008
91
- Validation Loss: 0.0014
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9996
95
  Validation Accuracy: 1.0000
96
- Training Loss: 0.0009
97
- Validation Loss: 0.0018
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 0.9999
101
- Validation Accuracy: 0.9997
102
- Training Loss: 0.0005
103
- Validation Loss: 0.0012
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 0.9999
107
- Validation Accuracy: 0.9997
108
- Training Loss: 0.0003
109
- Validation Loss: 0.0016
110
  --------------------------------------------------
111
  Epoch 19
112
  Training Accuracy: 1.0000
113
- Validation Accuracy: 0.9997
114
- Training Loss: 0.0003
115
- Validation Loss: 0.0012
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 0.9999
119
  Validation Accuracy: 1.0000
120
- Training Loss: 0.0003
121
- Validation Loss: 0.0008
122
  --------------------------------------------------
123
  Epoch 21
124
  Training Accuracy: 1.0000
125
- Validation Accuracy: 0.9997
126
- Training Loss: 0.0002
127
- Validation Loss: 0.0009
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9999
131
  Validation Accuracy: 1.0000
132
- Training Loss: 0.0004
133
- Validation Loss: 0.0008
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 0.9997
137
- Validation Accuracy: 0.9993
138
- Training Loss: 0.0006
139
- Validation Loss: 0.0010
140
  --------------------------------------------------
141
  Epoch 24
142
- Training Accuracy: 0.9999
143
  Validation Accuracy: 1.0000
144
- Training Loss: 0.0003
145
- Validation Loss: 0.0005
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 0.9999
149
  Validation Accuracy: 1.0000
150
- Training Loss: 0.0002
151
- Validation Loss: 0.0005
152
  --------------------------------------------------
153
  Epoch 26
154
  Training Accuracy: 1.0000
155
  Validation Accuracy: 1.0000
156
- Training Loss: 0.0001
157
- Validation Loss: 0.0005
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 1.0000
161
  Validation Accuracy: 1.0000
162
- Training Loss: 0.0001
163
- Validation Loss: 0.0004
164
  --------------------------------------------------
165
  Epoch 28
166
  Training Accuracy: 1.0000
167
  Validation Accuracy: 1.0000
168
- Training Loss: 0.0003
169
- Validation Loss: 0.0007
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 1.0000
173
  Validation Accuracy: 1.0000
174
- Training Loss: 0.0001
175
- Validation Loss: 0.0004
176
  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 0.9999
179
- Validation Accuracy: 0.9997
180
- Training Loss: 0.0003
181
- Validation Loss: 0.0006
182
  --------------------------------------------------
 
1
  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
65
+ Validation Accuracy: 1.0000
66
+ Training Loss: 0.0001
67
+ Validation Loss: 0.0000
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: 0.0001
79
+ Validation Loss: 0.0001
80
  --------------------------------------------------
81
  Epoch 14
82
  Training Accuracy: 1.0000
83
+ Validation Accuracy: 1.0000
84
+ Training Loss: 0.0001
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: 0.9999
102
+ Training Loss: 0.0001
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
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: 0.0000
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: 0.0001
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: 0.0001
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: 0.0001
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
  --------------------------------------------------