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  1. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round3/HELMINTHS_BINARY_DenseNet169_Round3.keras +1 -1
  2. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round3/classification_metrics.txt +1 -1
  3. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round3/confusion_matrix.png +0 -0
  4. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round3/testing_metrics.txt +1 -1
  5. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round3/training_accuracy.png +0 -0
  6. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round3/training_loss.png +0 -0
  7. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round3/training_validation_metrics.txt +75 -75
  8. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round4/HELMINTHS_BINARY_DenseNet169_Round4.keras +1 -1
  9. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round4/classification_metrics.txt +9 -9
  10. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round4/confusion_matrix.png +0 -0
  11. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round4/testing_metrics.txt +2 -2
  12. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round4/training_accuracy.png +0 -0
  13. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round4/training_loss.png +0 -0
  14. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round4/training_validation_metrics.txt +88 -88
  15. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round5/HELMINTHS_BINARY_DenseNet169_Round5.keras +1 -1
  16. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round5/confusion_matrix.png +0 -0
  17. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round5/training_accuracy.png +0 -0
  18. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round5/training_loss.png +0 -0
  19. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round5/training_validation_metrics.txt +76 -76
DenseNet169/HELMINTHS_BINARY_DenseNet169_Round3/HELMINTHS_BINARY_DenseNet169_Round3.keras CHANGED
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DenseNet169/HELMINTHS_BINARY_DenseNet169_Round3/classification_metrics.txt CHANGED
@@ -8,5 +8,5 @@ MCC: 1.0000
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  Cohen's Kappa: 1.0000
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  Balanced Accuracy: 1.0000
10
  Jaccard Index: 1.0000
11
- Log Loss: 0.0001
12
  F0.5-Score: 1.0000
 
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  Cohen's Kappa: 1.0000
9
  Balanced Accuracy: 1.0000
10
  Jaccard Index: 1.0000
11
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DenseNet169/HELMINTHS_BINARY_DenseNet169_Round3/confusion_matrix.png CHANGED
DenseNet169/HELMINTHS_BINARY_DenseNet169_Round3/testing_metrics.txt CHANGED
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- loss: 0.0001
 
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DenseNet169/HELMINTHS_BINARY_DenseNet169_Round3/training_accuracy.png CHANGED
DenseNet169/HELMINTHS_BINARY_DenseNet169_Round3/training_loss.png CHANGED
DenseNet169/HELMINTHS_BINARY_DenseNet169_Round3/training_validation_metrics.txt CHANGED
@@ -1,182 +1,182 @@
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9844
5
- Validation Accuracy: 0.9931
6
- Training Loss: 0.0551
7
- Validation Loss: 0.0224
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9966
11
- Validation Accuracy: 0.9964
12
- Training Loss: 0.0125
13
- Validation Loss: 0.0080
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9979
17
- Validation Accuracy: 0.9993
18
- Training Loss: 0.0073
19
- Validation Loss: 0.0038
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9992
23
- Validation Accuracy: 0.9993
24
- Training Loss: 0.0042
25
- Validation Loss: 0.0032
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9994
29
  Validation Accuracy: 1.0000
30
- Training Loss: 0.0030
31
- Validation Loss: 0.0014
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9997
35
  Validation Accuracy: 1.0000
36
- Training Loss: 0.0019
37
- Validation Loss: 0.0010
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9997
41
  Validation Accuracy: 1.0000
42
- Training Loss: 0.0014
43
- Validation Loss: 0.0008
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9996
47
  Validation Accuracy: 1.0000
48
- Training Loss: 0.0016
49
- Validation Loss: 0.0006
50
  --------------------------------------------------
51
  Epoch 9
52
  Training Accuracy: 0.9999
53
  Validation Accuracy: 1.0000
54
- Training Loss: 0.0007
55
- Validation Loss: 0.0005
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9998
59
  Validation Accuracy: 1.0000
60
- Training Loss: 0.0009
61
- Validation Loss: 0.0005
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9998
65
  Validation Accuracy: 1.0000
66
- Training Loss: 0.0008
67
- Validation Loss: 0.0003
68
  --------------------------------------------------
69
  Epoch 12
70
  Training Accuracy: 1.0000
71
  Validation Accuracy: 1.0000
72
- Training Loss: 0.0005
73
- Validation Loss: 0.0003
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9998
77
  Validation Accuracy: 1.0000
78
- Training Loss: 0.0007
79
- Validation Loss: 0.0004
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9996
83
  Validation Accuracy: 1.0000
84
- Training Loss: 0.0011
85
- Validation Loss: 0.0003
86
  --------------------------------------------------
87
  Epoch 15
88
  Training Accuracy: 1.0000
89
  Validation Accuracy: 1.0000
90
- Training Loss: 0.0003
91
- Validation Loss: 0.0002
92
  --------------------------------------------------
93
  Epoch 16
94
  Training Accuracy: 1.0000
95
  Validation Accuracy: 1.0000
96
  Training Loss: 0.0001
97
- Validation Loss: 0.0002
98
  --------------------------------------------------
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: 0.9999
107
  Validation Accuracy: 1.0000
108
- Training Loss: 0.0003
109
- Validation Loss: 0.0002
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 0.9999
113
  Validation Accuracy: 1.0000
114
- Training Loss: 0.0003
115
- Validation Loss: 0.0001
116
  --------------------------------------------------
117
  Epoch 20
118
  Training Accuracy: 1.0000
119
  Validation Accuracy: 1.0000
120
  Training Loss: 0.0001
121
- Validation Loss: 0.0002
122
  --------------------------------------------------
123
  Epoch 21
124
  Training Accuracy: 1.0000
125
  Validation Accuracy: 1.0000
126
- Training Loss: 0.0002
127
- Validation Loss: 0.0001
128
  --------------------------------------------------
129
  Epoch 22
130
  Training Accuracy: 1.0000
131
  Validation Accuracy: 1.0000
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: 0.0003
145
- Validation Loss: 0.0003
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 0.9996
149
  Validation Accuracy: 1.0000
150
- Training Loss: 0.0008
151
- Validation Loss: 0.0001
152
  --------------------------------------------------
153
  Epoch 26
154
  Training Accuracy: 1.0000
155
  Validation Accuracy: 1.0000
156
- Training Loss: 0.0001
157
- Validation Loss: 0.0001
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 1.0000
161
  Validation Accuracy: 1.0000
162
  Training Loss: 0.0001
163
- Validation Loss: 0.0001
164
  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 0.9999
167
  Validation Accuracy: 1.0000
168
- Training Loss: 0.0001
169
- Validation Loss: 0.0001
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 1.0000
173
  Validation Accuracy: 1.0000
174
- Training Loss: 0.0001
175
  Validation Loss: 0.0000
176
  --------------------------------------------------
177
  Epoch 30
178
  Training Accuracy: 1.0000
179
  Validation Accuracy: 1.0000
180
- Training Loss: 0.0001
181
- Validation Loss: 0.0001
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9896
5
+ Validation Accuracy: 0.9997
6
+ Training Loss: 0.0340
7
+ Validation Loss: 0.0033
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9994
11
+ Validation Accuracy: 1.0000
12
+ Training Loss: 0.0041
13
+ Validation Loss: 0.0009
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9998
17
+ Validation Accuracy: 1.0000
18
+ Training Loss: 0.0017
19
+ Validation Loss: 0.0005
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9999
23
+ Validation Accuracy: 1.0000
24
+ Training Loss: 0.0010
25
+ Validation Loss: 0.0002
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 1.0000
29
  Validation Accuracy: 1.0000
30
+ Training Loss: 0.0005
31
+ Validation Loss: 0.0001
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9999
35
  Validation Accuracy: 1.0000
36
+ Training Loss: 0.0005
37
+ Validation Loss: 0.0001
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: 0.0000
50
  --------------------------------------------------
51
  Epoch 9
52
  Training Accuracy: 0.9999
53
  Validation Accuracy: 1.0000
54
+ Training Loss: 0.0004
55
+ Validation Loss: 0.0000
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 1.0000
59
  Validation Accuracy: 1.0000
60
+ Training Loss: 0.0001
61
+ Validation Loss: 0.0000
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: 0.0001
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: 0.0001
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: 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: 0.0001
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: 0.0001
127
+ Validation Loss: 0.0000
128
  --------------------------------------------------
129
  Epoch 22
130
  Training Accuracy: 1.0000
131
  Validation Accuracy: 1.0000
132
  Training Loss: 0.0001
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: 0.0001
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
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 1.0000
161
  Validation Accuracy: 1.0000
162
  Training Loss: 0.0001
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
  --------------------------------------------------
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DenseNet169/HELMINTHS_BINARY_DenseNet169_Round4/classification_metrics.txt CHANGED
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1
- Precision: 0.9952
2
  Recall: 1.0000
3
  Sensitivity: 1.0000
4
- Specificity: 0.9992
5
- F1-Score: 0.9976
6
  AUC: 1.0000
7
- MCC: 0.9972
8
- Cohen's Kappa: 0.9972
9
- Balanced Accuracy: 0.9996
10
- Jaccard Index: 0.9952
11
- Log Loss: 0.0008
12
- F0.5-Score: 0.9961
 
1
+ Precision: 1.0000
2
  Recall: 1.0000
3
  Sensitivity: 1.0000
4
+ Specificity: 1.0000
5
+ F1-Score: 1.0000
6
  AUC: 1.0000
7
+ MCC: 1.0000
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+ Cohen's Kappa: 1.0000
9
+ Balanced Accuracy: 1.0000
10
+ Jaccard Index: 1.0000
11
+ Log Loss: 0.0000
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+ F0.5-Score: 1.0000
DenseNet169/HELMINTHS_BINARY_DenseNet169_Round4/confusion_matrix.png CHANGED
DenseNet169/HELMINTHS_BINARY_DenseNet169_Round4/testing_metrics.txt CHANGED
@@ -1,3 +1,3 @@
1
- accuracy: 0.9993
2
  auc: 1.0000
3
- loss: 0.0008
 
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3
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DenseNet169/HELMINTHS_BINARY_DenseNet169_Round4/training_accuracy.png CHANGED
DenseNet169/HELMINTHS_BINARY_DenseNet169_Round4/training_loss.png CHANGED
DenseNet169/HELMINTHS_BINARY_DenseNet169_Round4/training_validation_metrics.txt CHANGED
@@ -1,182 +1,182 @@
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9655
5
- Validation Accuracy: 0.9938
6
- Training Loss: 0.0983
7
- Validation Loss: 0.0260
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9962
11
- Validation Accuracy: 0.9970
12
- Training Loss: 0.0163
13
- Validation Loss: 0.0109
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9979
17
- Validation Accuracy: 0.9997
18
- Training Loss: 0.0080
19
- Validation Loss: 0.0058
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9986
23
- Validation Accuracy: 0.9997
24
- Training Loss: 0.0056
25
- Validation Loss: 0.0034
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9993
29
  Validation Accuracy: 1.0000
30
- Training Loss: 0.0033
31
- Validation Loss: 0.0023
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9993
35
- Validation Accuracy: 1.0000
36
- Training Loss: 0.0028
37
- Validation Loss: 0.0019
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9996
41
  Validation Accuracy: 1.0000
42
- Training Loss: 0.0021
43
- Validation Loss: 0.0011
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9995
47
  Validation Accuracy: 1.0000
48
- Training Loss: 0.0017
49
- Validation Loss: 0.0014
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9996
53
  Validation Accuracy: 1.0000
54
- Training Loss: 0.0013
55
- Validation Loss: 0.0010
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9998
59
  Validation Accuracy: 1.0000
60
- Training Loss: 0.0008
61
- Validation Loss: 0.0009
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9998
65
  Validation Accuracy: 1.0000
66
- Training Loss: 0.0009
67
- Validation Loss: 0.0006
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9998
71
  Validation Accuracy: 1.0000
72
- Training Loss: 0.0007
73
- Validation Loss: 0.0006
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9999
77
- Validation Accuracy: 0.9993
78
- Training Loss: 0.0007
79
- Validation Loss: 0.0016
80
  --------------------------------------------------
81
  Epoch 14
82
  Training Accuracy: 0.9999
83
  Validation Accuracy: 1.0000
84
- Training Loss: 0.0005
85
- Validation Loss: 0.0007
86
  --------------------------------------------------
87
  Epoch 15
88
  Training Accuracy: 1.0000
89
  Validation Accuracy: 1.0000
90
- Training Loss: 0.0003
91
- Validation Loss: 0.0009
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9997
95
  Validation Accuracy: 1.0000
96
- Training Loss: 0.0006
97
- Validation Loss: 0.0009
98
  --------------------------------------------------
99
  Epoch 17
100
  Training Accuracy: 1.0000
101
  Validation Accuracy: 1.0000
102
- Training Loss: 0.0003
103
- Validation Loss: 0.0004
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 0.9999
107
- Validation Accuracy: 0.9997
108
- Training Loss: 0.0003
109
- Validation Loss: 0.0010
110
  --------------------------------------------------
111
  Epoch 19
112
  Training Accuracy: 1.0000
113
  Validation Accuracy: 1.0000
114
- Training Loss: 0.0002
115
- Validation Loss: 0.0002
116
  --------------------------------------------------
117
  Epoch 20
118
  Training Accuracy: 1.0000
119
  Validation Accuracy: 1.0000
120
- Training Loss: 0.0001
121
- Validation Loss: 0.0002
122
  --------------------------------------------------
123
  Epoch 21
124
  Training Accuracy: 1.0000
125
  Validation Accuracy: 1.0000
126
- Training Loss: 0.0003
127
- Validation Loss: 0.0005
128
  --------------------------------------------------
129
  Epoch 22
130
  Training Accuracy: 1.0000
131
  Validation Accuracy: 1.0000
132
- Training Loss: 0.0001
133
- Validation Loss: 0.0001
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 0.9999
137
- Validation Accuracy: 0.9990
138
- Training Loss: 0.0002
139
- Validation Loss: 0.0015
140
- --------------------------------------------------
141
- Epoch 24
142
  Training Accuracy: 1.0000
143
  Validation Accuracy: 1.0000
144
  Training Loss: 0.0001
145
- Validation Loss: 0.0002
 
 
 
 
 
 
146
  --------------------------------------------------
147
  Epoch 25
148
  Training Accuracy: 1.0000
149
  Validation Accuracy: 1.0000
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: 0.0001
157
- Validation Loss: 0.0003
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 1.0000
161
  Validation Accuracy: 1.0000
162
- Training Loss: 0.0002
163
- Validation Loss: 0.0001
164
  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 0.9999
167
  Validation Accuracy: 1.0000
168
- Training Loss: 0.0002
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: 0.0009
176
  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 0.9999
179
- Validation Accuracy: 0.9993
180
- Training Loss: 0.0002
181
- Validation Loss: 0.0012
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9894
5
+ Validation Accuracy: 0.9995
6
+ Training Loss: 0.0345
7
+ Validation Loss: 0.0042
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9992
11
+ Validation Accuracy: 1.0000
12
+ Training Loss: 0.0044
13
+ Validation Loss: 0.0011
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9997
17
+ Validation Accuracy: 1.0000
18
+ Training Loss: 0.0020
19
+ Validation Loss: 0.0005
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9998
23
+ Validation Accuracy: 1.0000
24
+ Training Loss: 0.0012
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: 0.9999
36
+ Training Loss: 0.0005
37
+ Validation Loss: 0.0008
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: 0.0003
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: 0.0000
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: 0.0001
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: 0.0000
97
+ Validation Loss: 0.0000
98
  --------------------------------------------------
99
  Epoch 17
100
  Training Accuracy: 1.0000
101
  Validation Accuracy: 1.0000
102
+ Training Loss: 0.0000
103
+ Validation Loss: 0.0000
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: 0.0000
121
+ Validation Loss: 0.0000
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: 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: 0.9999
143
+ Validation Accuracy: 1.0000
144
+ Training Loss: 0.0003
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
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 1.0000
161
  Validation Accuracy: 1.0000
162
+ Training Loss: 0.0001
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
  --------------------------------------------------
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9859
5
- Validation Accuracy: 0.9925
6
- Training Loss: 0.0526
7
- Validation Loss: 0.0249
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9964
11
- Validation Accuracy: 0.9977
12
- Training Loss: 0.0128
13
- Validation Loss: 0.0077
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9983
17
- Validation Accuracy: 0.9990
18
- Training Loss: 0.0059
19
- Validation Loss: 0.0035
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9989
23
  Validation Accuracy: 1.0000
24
- Training Loss: 0.0041
25
- Validation Loss: 0.0020
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9994
29
  Validation Accuracy: 1.0000
30
- Training Loss: 0.0027
31
- Validation Loss: 0.0012
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9997
35
  Validation Accuracy: 1.0000
36
- Training Loss: 0.0016
37
- Validation Loss: 0.0010
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9998
41
  Validation Accuracy: 1.0000
42
- Training Loss: 0.0014
43
- Validation Loss: 0.0010
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9998
47
  Validation Accuracy: 1.0000
48
- Training Loss: 0.0012
49
- Validation Loss: 0.0007
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9998
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: 0.0010
61
- Validation Loss: 0.0007
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9999
65
  Validation Accuracy: 1.0000
66
- Training Loss: 0.0009
67
- Validation Loss: 0.0004
68
  --------------------------------------------------
69
  Epoch 12
70
  Training Accuracy: 1.0000
71
  Validation Accuracy: 1.0000
72
- Training Loss: 0.0005
73
- Validation Loss: 0.0004
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9999
77
  Validation Accuracy: 1.0000
78
- Training Loss: 0.0003
79
- Validation Loss: 0.0004
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 1.0000
83
  Validation Accuracy: 1.0000
84
- Training Loss: 0.0003
85
- Validation Loss: 0.0003
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9999
89
  Validation Accuracy: 1.0000
90
- Training Loss: 0.0004
91
- Validation Loss: 0.0006
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9999
95
  Validation Accuracy: 1.0000
96
- Training Loss: 0.0003
97
- Validation Loss: 0.0003
98
  --------------------------------------------------
99
  Epoch 17
100
  Training Accuracy: 1.0000
101
  Validation Accuracy: 1.0000
102
- Training Loss: 0.0002
103
- Validation Loss: 0.0002
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 0.9998
107
  Validation Accuracy: 1.0000
108
- Training Loss: 0.0005
109
- Validation Loss: 0.0007
110
  --------------------------------------------------
111
  Epoch 19
112
  Training Accuracy: 1.0000
113
  Validation Accuracy: 1.0000
114
- Training Loss: 0.0001
115
- Validation Loss: 0.0005
116
  --------------------------------------------------
117
  Epoch 20
118
  Training Accuracy: 1.0000
119
  Validation Accuracy: 1.0000
120
  Training Loss: 0.0001
121
- Validation Loss: 0.0002
122
  --------------------------------------------------
123
  Epoch 21
124
  Training Accuracy: 1.0000
125
  Validation Accuracy: 1.0000
126
  Training Loss: 0.0001
127
- Validation Loss: 0.0001
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9999
131
  Validation Accuracy: 1.0000
132
- Training Loss: 0.0004
133
- Validation Loss: 0.0005
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: 1.0000
150
- Training Loss: 0.0001
151
- Validation Loss: 0.0001
152
  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 0.9999
155
  Validation Accuracy: 1.0000
156
- Training Loss: 0.0002
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: 0.0001
164
  --------------------------------------------------
165
  Epoch 28
166
  Training Accuracy: 1.0000
167
  Validation Accuracy: 1.0000
168
  Training Loss: 0.0000
169
- Validation Loss: 0.0001
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 1.0000
@@ -177,6 +177,6 @@ Epoch 29
177
  Epoch 30
178
  Training Accuracy: 1.0000
179
  Validation Accuracy: 1.0000
180
- Training Loss: 0.0000
181
- Validation Loss: 0.0001
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9872
5
+ Validation Accuracy: 0.9999
6
+ Training Loss: 0.0392
7
+ Validation Loss: 0.0044
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9992
11
+ Validation Accuracy: 1.0000
12
+ Training Loss: 0.0045
13
+ Validation Loss: 0.0013
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9997
17
+ Validation Accuracy: 1.0000
18
+ Training Loss: 0.0018
19
+ Validation Loss: 0.0005
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 1.0000
23
  Validation Accuracy: 1.0000
24
+ Training Loss: 0.0010
25
+ Validation Loss: 0.0003
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9999
29
  Validation Accuracy: 1.0000
30
+ Training Loss: 0.0008
31
+ Validation Loss: 0.0003
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 1.0000
35
  Validation Accuracy: 1.0000
36
+ Training Loss: 0.0004
37
+ Validation Loss: 0.0002
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 1.0000
41
  Validation Accuracy: 1.0000
42
+ Training Loss: 0.0004
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: 0.9999
53
  Validation Accuracy: 1.0000
54
+ Training Loss: 0.0005
55
+ Validation Loss: 0.0004
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: 0.0000
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: 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: 0.0000
97
+ Validation Loss: 0.0000
98
  --------------------------------------------------
99
  Epoch 17
100
  Training Accuracy: 1.0000
101
  Validation Accuracy: 1.0000
102
+ Training Loss: 0.0000
103
+ Validation Loss: 0.0000
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: 0.0001
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: 0.0001
127
+ Validation Loss: 0.0000
128
  --------------------------------------------------
129
  Epoch 22
130
+ Training Accuracy: 1.0000
131
  Validation Accuracy: 1.0000
132
+ Training Loss: 0.0001
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
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
 
177
  Epoch 30
178
  Training Accuracy: 1.0000
179
  Validation Accuracy: 1.0000
180
+ Training Loss: 0.0001
181
+ Validation Loss: 0.0000
182
  --------------------------------------------------