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ConvNeXtBase/BINARY_ConvNeXtBase_Round1/BINARY_ConvNeXtBase_Round1.keras

@@ -1,3 +1,3 @@
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ConvNeXtBase/BINARY_ConvNeXtBase_Round1/training_validation_metrics.txt

@@ -1,182 +1,182 @@
 Training and Validation Metrics Per Epoch
 ==================================================
 Epoch 1
-  Training Accuracy: 0.9769
-  Validation Accuracy: 0.9994
-  Training Loss: 0.0760
-  Validation Loss: 0.0097
+  Training Accuracy: 0.9829
+  Validation Accuracy: 0.9984
+  Training Loss: 0.0550
+  Validation Loss: 0.0069
 --------------------------------------------------
 Epoch 2
-  Training Accuracy: 0.9982
-  Validation Accuracy: 0.9994
-  Training Loss: 0.0095
-  Validation Loss: 0.0043
+  Training Accuracy: 0.9985
+  Validation Accuracy: 0.9987
+  Training Loss: 0.0064
+  Validation Loss: 0.0047
 --------------------------------------------------
 Epoch 3
-  Training Accuracy: 0.9989
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0046
-  Validation Loss: 0.0028
+  Training Accuracy: 0.9991
+  Validation Accuracy: 0.9989
+  Training Loss: 0.0035
+  Validation Loss: 0.0038
 --------------------------------------------------
 Epoch 4
-  Training Accuracy: 0.9995
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0029
-  Validation Loss: 0.0023
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9987
+  Training Loss: 0.0021
+  Validation Loss: 0.0039
 --------------------------------------------------
 Epoch 5
-  Training Accuracy: 0.9995
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0021
-  Validation Loss: 0.0015
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9990
+  Training Loss: 0.0016
+  Validation Loss: 0.0034
 --------------------------------------------------
 Epoch 6
   Training Accuracy: 0.9998
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0014
-  Validation Loss: 0.0015
+  Validation Accuracy: 0.9987
+  Training Loss: 0.0011
+  Validation Loss: 0.0048
 --------------------------------------------------
 Epoch 7
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0013
-  Validation Loss: 0.0012
+  Training Accuracy: 0.9996
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0012
+  Validation Loss: 0.0031
 --------------------------------------------------
 Epoch 8
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0012
-  Validation Loss: 0.0012
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9991
+  Training Loss: 0.0008
+  Validation Loss: 0.0038
 --------------------------------------------------
 Epoch 9
-  Training Accuracy: 0.9996
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0013
-  Validation Loss: 0.0016
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9988
+  Training Loss: 0.0008
+  Validation Loss: 0.0045
 --------------------------------------------------
 Epoch 10
   Training Accuracy: 0.9998
-  Validation Accuracy: 0.9996
+  Validation Accuracy: 0.9988
   Training Loss: 0.0007
-  Validation Loss: 0.0016
+  Validation Loss: 0.0044
 --------------------------------------------------
 Epoch 11
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0009
-  Validation Loss: 0.0018
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9991
+  Training Loss: 0.0004
+  Validation Loss: 0.0035
 --------------------------------------------------
 Epoch 12
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0007
-  Validation Loss: 0.0010
---------------------------------------------------
-Epoch 13
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9992
   Training Loss: 0.0005
-  Validation Loss: 0.0011
+  Validation Loss: 0.0020
+--------------------------------------------------
+Epoch 13
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9991
+  Training Loss: 0.0004
+  Validation Loss: 0.0029
 --------------------------------------------------
 Epoch 14
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0002
-  Validation Loss: 0.0012
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0004
+  Validation Loss: 0.0028
 --------------------------------------------------
 Epoch 15
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9993
   Training Loss: 0.0003
-  Validation Loss: 0.0009
+  Validation Loss: 0.0030
 --------------------------------------------------
 Epoch 16
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0002
-  Validation Loss: 0.0011
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0003
+  Validation Loss: 0.0037
 --------------------------------------------------
 Epoch 17
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9992
   Training Loss: 0.0003
-  Validation Loss: 0.0012
+  Validation Loss: 0.0024
 --------------------------------------------------
 Epoch 18
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9993
   Training Loss: 0.0002
-  Validation Loss: 0.0010
+  Validation Loss: 0.0016
 --------------------------------------------------
 Epoch 19
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0002
-  Validation Loss: 0.0012
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0001
+  Validation Loss: 0.0031
 --------------------------------------------------
 Epoch 20
   Training Accuracy: 0.9998
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9995
   Training Loss: 0.0004
-  Validation Loss: 0.0015
+  Validation Loss: 0.0017
 --------------------------------------------------
 Epoch 21
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0001
-  Validation Loss: 0.0015
---------------------------------------------------
-Epoch 22
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9997
   Training Loss: 0.0002
-  Validation Loss: 0.0011
+  Validation Loss: 0.0014
 --------------------------------------------------
-Epoch 23
+Epoch 22
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9996
   Training Loss: 0.0001
-  Validation Loss: 0.0012
+  Validation Loss: 0.0019
 --------------------------------------------------
-Epoch 24
+Epoch 23
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0004
-  Validation Loss: 0.0011
+  Validation Accuracy: 0.9995
+  Training Loss: 0.0002
+  Validation Loss: 0.0018
 --------------------------------------------------
-Epoch 25
+Epoch 24
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9994
   Training Loss: 0.0001
-  Validation Loss: 0.0010
+  Validation Loss: 0.0021
+--------------------------------------------------
+Epoch 25
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0002
+  Validation Loss: 0.0017
 --------------------------------------------------
 Epoch 26
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9995
   Training Loss: 0.0001
-  Validation Loss: 0.0012
+  Validation Loss: 0.0018
 --------------------------------------------------
 Epoch 27
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0000
-  Validation Loss: 0.0011
+  Validation Accuracy: 0.9995
+  Training Loss: 0.0001
+  Validation Loss: 0.0017
 --------------------------------------------------
 Epoch 28
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9994
   Training Loss: 0.0001
-  Validation Loss: 0.0008
+  Validation Loss: 0.0027
 --------------------------------------------------
 Epoch 29
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0004
-  Validation Loss: 0.0013
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0000
+  Validation Loss: 0.0016
 --------------------------------------------------
 Epoch 30
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9996
+  Validation Accuracy: 0.9991
   Training Loss: 0.0001
-  Validation Loss: 0.0014
+  Validation Loss: 0.0030
 --------------------------------------------------

ConvNeXtBase/BINARY_ConvNeXtBase_Round2/BINARY_ConvNeXtBase_Round2.keras

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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ConvNeXtBase/BINARY_ConvNeXtBase_Round2/classification_metrics.txt

@@ -1,12 +1,12 @@
-Precision: 0.9992
-Recall: 1.0000
-Sensitivity: 1.0000
-Specificity: 0.9992
+Precision: 1.0000
+Recall: 0.9992
+Sensitivity: 0.9992
+Specificity: 1.0000
 F1-Score: 0.9996
 AUC: 1.0000
 MCC: 0.9992
 Cohen's Kappa: 0.9992
 Balanced Accuracy: 0.9996
 Jaccard Index: 0.9992
-Log Loss: 0.0004
-F0.5-Score: 0.9994
+Log Loss: 0.0005
+F0.5-Score: 0.9998

ConvNeXtBase/BINARY_ConvNeXtBase_Round2/testing_metrics.txt

@@ -1,3 +1,3 @@
 accuracy: 0.9996
 auc: 1.0000
-loss: 0.0004
+loss: 0.0005

ConvNeXtBase/BINARY_ConvNeXtBase_Round2/training_validation_metrics.txt

@@ -1,182 +1,182 @@
 Training and Validation Metrics Per Epoch
 ==================================================
 Epoch 1
-  Training Accuracy: 0.9804
-  Validation Accuracy: 0.9994
-  Training Loss: 0.0717
-  Validation Loss: 0.0091
+  Training Accuracy: 0.9867
+  Validation Accuracy: 0.9985
+  Training Loss: 0.0467
+  Validation Loss: 0.0075
 --------------------------------------------------
 Epoch 2
-  Training Accuracy: 0.9984
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0092
-  Validation Loss: 0.0039
+  Training Accuracy: 0.9986
+  Validation Accuracy: 0.9986
+  Training Loss: 0.0061
+  Validation Loss: 0.0046
 --------------------------------------------------
 Epoch 3
   Training Accuracy: 0.9992
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0043
-  Validation Loss: 0.0024
+  Validation Accuracy: 0.9988
+  Training Loss: 0.0035
+  Validation Loss: 0.0043
 --------------------------------------------------
 Epoch 4
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0026
-  Validation Loss: 0.0022
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9989
+  Training Loss: 0.0023
+  Validation Loss: 0.0038
 --------------------------------------------------
 Epoch 5
   Training Accuracy: 0.9996
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0019
-  Validation Loss: 0.0014
+  Validation Accuracy: 0.9990
+  Training Loss: 0.0015
+  Validation Loss: 0.0036
 --------------------------------------------------
 Epoch 6
-  Training Accuracy: 0.9995
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0018
-  Validation Loss: 0.0013
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9991
+  Training Loss: 0.0013
+  Validation Loss: 0.0030
 --------------------------------------------------
 Epoch 7
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0010
-  Validation Loss: 0.0011
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0009
+  Validation Loss: 0.0025
 --------------------------------------------------
 Epoch 8
   Training Accuracy: 0.9998
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0011
-  Validation Loss: 0.0017
+  Validation Accuracy: 0.9991
+  Training Loss: 0.0007
+  Validation Loss: 0.0034
 --------------------------------------------------
 Epoch 9
-  Training Accuracy: 0.9996
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0013
-  Validation Loss: 0.0010
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0004
+  Validation Loss: 0.0028
 --------------------------------------------------
 Epoch 10
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9995
   Training Loss: 0.0005
-  Validation Loss: 0.0009
+  Validation Loss: 0.0025
 --------------------------------------------------
 Epoch 11
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9998
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9992
   Training Loss: 0.0008
-  Validation Loss: 0.0009
+  Validation Loss: 0.0021
 --------------------------------------------------
 Epoch 12
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0005
-  Validation Loss: 0.0009
+  Validation Accuracy: 0.9988
+  Training Loss: 0.0004
+  Validation Loss: 0.0045
 --------------------------------------------------
 Epoch 13
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0003
-  Validation Loss: 0.0011
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9991
+  Training Loss: 0.0004
+  Validation Loss: 0.0033
 --------------------------------------------------
 Epoch 14
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0003
-  Validation Loss: 0.0013
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0007
+  Validation Loss: 0.0029
 --------------------------------------------------
 Epoch 15
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0006
-  Validation Loss: 0.0010
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0002
+  Validation Loss: 0.0026
 --------------------------------------------------
 Epoch 16
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0003
-  Validation Loss: 0.0010
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0002
+  Validation Loss: 0.0017
 --------------------------------------------------
 Epoch 17
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0004
-  Validation Loss: 0.0008
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0005
+  Validation Loss: 0.0019
 --------------------------------------------------
 Epoch 18
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0005
-  Validation Loss: 0.0014
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0004
+  Validation Loss: 0.0025
 --------------------------------------------------
 Epoch 19
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0003
-  Validation Loss: 0.0011
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9995
+  Training Loss: 0.0004
+  Validation Loss: 0.0021
 --------------------------------------------------
 Epoch 20
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0002
-  Validation Loss: 0.0011
---------------------------------------------------
-Epoch 21
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9995
   Training Loss: 0.0002
-  Validation Loss: 0.0009
+  Validation Loss: 0.0019
 --------------------------------------------------
-Epoch 22
+Epoch 21
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9996
   Training Loss: 0.0001
-  Validation Loss: 0.0009
+  Validation Loss: 0.0017
 --------------------------------------------------
-Epoch 23
+Epoch 22
   Training Accuracy: 0.9999
+  Validation Accuracy: 0.9997
+  Training Loss: 0.0002
+  Validation Loss: 0.0014
+--------------------------------------------------
+Epoch 23
+  Training Accuracy: 1.0000
   Validation Accuracy: 0.9996
-  Training Loss: 0.0003
-  Validation Loss: 0.0011
+  Training Loss: 0.0001
+  Validation Loss: 0.0013
 --------------------------------------------------
 Epoch 24
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0002
-  Validation Loss: 0.0009
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0001
+  Validation Loss: 0.0015
 --------------------------------------------------
 Epoch 25
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0001
-  Validation Loss: 0.0012
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0004
+  Validation Loss: 0.0018
 --------------------------------------------------
 Epoch 26
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9995
   Training Loss: 0.0002
-  Validation Loss: 0.0009
+  Validation Loss: 0.0016
 --------------------------------------------------
 Epoch 27
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0001
-  Validation Loss: 0.0007
+  Validation Accuracy: 0.9995
+  Training Loss: 0.0002
+  Validation Loss: 0.0020
 --------------------------------------------------
 Epoch 28
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0000
-  Validation Loss: 0.0011
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0002
+  Validation Loss: 0.0020
 --------------------------------------------------
 Epoch 29
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0001
-  Validation Loss: 0.0007
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0002
+  Validation Loss: 0.0034
 --------------------------------------------------
 Epoch 30
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9995
   Training Loss: 0.0002
-  Validation Loss: 0.0008
+  Validation Loss: 0.0021
 --------------------------------------------------

ConvNeXtBase/BINARY_ConvNeXtBase_Round3/BINARY_ConvNeXtBase_Round3.keras

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 version https://git-lfs.github.com/spec/v1
-oid sha256:7dba71a2affe9bd0593b8cb52aeac9b1481df29fdd165b395fc7c3620a60324c
-size 354388232
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+size 354390599

ConvNeXtBase/BINARY_ConvNeXtBase_Round3/classification_metrics.txt

@@ -1,12 +1,12 @@
 Precision: 1.0000
-Recall: 1.0000
-Sensitivity: 1.0000
+Recall: 0.9985
+Sensitivity: 0.9985
 Specificity: 1.0000
-F1-Score: 1.0000
+F1-Score: 0.9992
 AUC: 1.0000
-MCC: 1.0000
-Cohen's Kappa: 1.0000
-Balanced Accuracy: 1.0000
-Jaccard Index: 1.0000
-Log Loss: 0.0004
-F0.5-Score: 1.0000
+MCC: 0.9985
+Cohen's Kappa: 0.9985
+Balanced Accuracy: 0.9992
+Jaccard Index: 0.9985
+Log Loss: 0.0008
+F0.5-Score: 0.9997

ConvNeXtBase/BINARY_ConvNeXtBase_Round3/testing_metrics.txt

@@ -1,3 +1,3 @@
-accuracy: 1.0000
+accuracy: 0.9992
 auc: 1.0000
-loss: 0.0004
+loss: 0.0008

ConvNeXtBase/BINARY_ConvNeXtBase_Round3/training_validation_metrics.txt

@@ -1,182 +1,182 @@
 Training and Validation Metrics Per Epoch
 ==================================================
 Epoch 1
-  Training Accuracy: 0.9764
-  Validation Accuracy: 0.9986
-  Training Loss: 0.0768
-  Validation Loss: 0.0116
+  Training Accuracy: 0.9865
+  Validation Accuracy: 0.9977
+  Training Loss: 0.0488
+  Validation Loss: 0.0094
 --------------------------------------------------
 Epoch 2
-  Training Accuracy: 0.9983
-  Validation Accuracy: 0.9994
-  Training Loss: 0.0088
-  Validation Loss: 0.0048
+  Training Accuracy: 0.9985
+  Validation Accuracy: 0.9981
+  Training Loss: 0.0062
+  Validation Loss: 0.0053
 --------------------------------------------------
 Epoch 3
-  Training Accuracy: 0.9991
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0046
-  Validation Loss: 0.0027
+  Training Accuracy: 0.9992
+  Validation Accuracy: 0.9990
+  Training Loss: 0.0033
+  Validation Loss: 0.0036
 --------------------------------------------------
 Epoch 4
-  Training Accuracy: 0.9994
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0031
-  Validation Loss: 0.0022
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9990
+  Training Loss: 0.0020
+  Validation Loss: 0.0031
 --------------------------------------------------
 Epoch 5
-  Training Accuracy: 0.9995
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0023
-  Validation Loss: 0.0020
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0016
+  Validation Loss: 0.0022
 --------------------------------------------------
 Epoch 6
   Training Accuracy: 0.9998
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0014
-  Validation Loss: 0.0015
+  Validation Accuracy: 0.9987
+  Training Loss: 0.0010
+  Validation Loss: 0.0027
 --------------------------------------------------
 Epoch 7
   Training Accuracy: 0.9998
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0013
-  Validation Loss: 0.0011
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0010
+  Validation Loss: 0.0025
 --------------------------------------------------
 Epoch 8
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0012
-  Validation Loss: 0.0010
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0007
+  Validation Loss: 0.0027
 --------------------------------------------------
 Epoch 9
   Training Accuracy: 0.9998
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0008
-  Validation Loss: 0.0011
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0007
+  Validation Loss: 0.0024
 --------------------------------------------------
 Epoch 10
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0008
-  Validation Loss: 0.0018
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0006
+  Validation Loss: 0.0028
 --------------------------------------------------
 Epoch 11
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9994
   Training Loss: 0.0006
-  Validation Loss: 0.0011
+  Validation Loss: 0.0023
 --------------------------------------------------
 Epoch 12
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9995
   Training Loss: 0.0003
-  Validation Loss: 0.0009
+  Validation Loss: 0.0022
 --------------------------------------------------
 Epoch 13
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0004
-  Validation Loss: 0.0009
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0003
+  Validation Loss: 0.0026
 --------------------------------------------------
 Epoch 14
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0002
-  Validation Loss: 0.0009
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9991
+  Training Loss: 0.0005
+  Validation Loss: 0.0039
 --------------------------------------------------
 Epoch 15
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9995
   Training Loss: 0.0005
-  Validation Loss: 0.0007
+  Validation Loss: 0.0022
 --------------------------------------------------
 Epoch 16
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0007
-  Validation Loss: 0.0008
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0002
+  Validation Loss: 0.0025
 --------------------------------------------------
 Epoch 17
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0004
-  Validation Loss: 0.0010
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0003
+  Validation Loss: 0.0025
 --------------------------------------------------
 Epoch 18
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0003
-  Validation Loss: 0.0005
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0004
+  Validation Loss: 0.0027
 --------------------------------------------------
 Epoch 19
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0003
-  Validation Loss: 0.0006
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0004
+  Validation Loss: 0.0034
 --------------------------------------------------
 Epoch 20
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9996
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9994
   Training Loss: 0.0002
-  Validation Loss: 0.0011
+  Validation Loss: 0.0027
 --------------------------------------------------
 Epoch 21
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9995
   Training Loss: 0.0001
-  Validation Loss: 0.0009
+  Validation Loss: 0.0020
 --------------------------------------------------
 Epoch 22
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9996
+  Validation Accuracy: 0.9994
   Training Loss: 0.0003
-  Validation Loss: 0.0014
+  Validation Loss: 0.0021
 --------------------------------------------------
 Epoch 23
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0001
-  Validation Loss: 0.0012
---------------------------------------------------
-Epoch 24
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9995
   Training Loss: 0.0002
-  Validation Loss: 0.0010
+  Validation Loss: 0.0020
+--------------------------------------------------
+Epoch 24
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9995
+  Training Loss: 0.0001
+  Validation Loss: 0.0025
 --------------------------------------------------
 Epoch 25
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0002
-  Validation Loss: 0.0011
+  Validation Accuracy: 0.9995
+  Training Loss: 0.0003
+  Validation Loss: 0.0022
 --------------------------------------------------
 Epoch 26
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9996
+  Validation Accuracy: 0.9994
   Training Loss: 0.0001
-  Validation Loss: 0.0010
+  Validation Loss: 0.0027
 --------------------------------------------------
 Epoch 27
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9995
   Training Loss: 0.0001
-  Validation Loss: 0.0011
+  Validation Loss: 0.0028
 --------------------------------------------------
 Epoch 28
-  Training Accuracy: 0.9998
+  Training Accuracy: 1.0000
   Validation Accuracy: 0.9996
-  Training Loss: 0.0003
-  Validation Loss: 0.0009
+  Training Loss: 0.0000
+  Validation Loss: 0.0022
 --------------------------------------------------
 Epoch 29
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0001
-  Validation Loss: 0.0012
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9999
+  Training Loss: 0.0002
+  Validation Loss: 0.0015
 --------------------------------------------------
 Epoch 30
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0001
-  Validation Loss: 0.0012
+  Validation Accuracy: 0.9997
+  Training Loss: 0.0002
+  Validation Loss: 0.0017
 --------------------------------------------------

ConvNeXtBase/BINARY_ConvNeXtBase_Round4/BINARY_ConvNeXtBase_Round4.keras

@@ -1,3 +1,3 @@
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-oid sha256:aa089faea911c7774b26f40206367fde4e4b4aeea4df2c83bb1519040837e16c
-size 354388232
+oid sha256:a6176fc033d71dd1856d63736319fea77de94b32a3e897b7ab59e93ae22fce5f
+size 354390599

ConvNeXtBase/BINARY_ConvNeXtBase_Round4/training_validation_metrics.txt

@@ -1,182 +1,182 @@
 Training and Validation Metrics Per Epoch
 ==================================================
 Epoch 1
-  Training Accuracy: 0.9792
-  Validation Accuracy: 0.9994
-  Training Loss: 0.0714
-  Validation Loss: 0.0093
+  Training Accuracy: 0.9864
+  Validation Accuracy: 0.9984
+  Training Loss: 0.0485
+  Validation Loss: 0.0077
 --------------------------------------------------
 Epoch 2
-  Training Accuracy: 0.9983
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0086
-  Validation Loss: 0.0044
+  Training Accuracy: 0.9988
+  Validation Accuracy: 0.9986
+  Training Loss: 0.0056
+  Validation Loss: 0.0047
 --------------------------------------------------
 Epoch 3
-  Training Accuracy: 0.9991
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0043
-  Validation Loss: 0.0033
+  Training Accuracy: 0.9992
+  Validation Accuracy: 0.9988
+  Training Loss: 0.0036
+  Validation Loss: 0.0042
 --------------------------------------------------
 Epoch 4
-  Training Accuracy: 0.9995
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0029
-  Validation Loss: 0.0024
+  Training Accuracy: 0.9996
+  Validation Accuracy: 0.9989
+  Training Loss: 0.0020
+  Validation Loss: 0.0038
 --------------------------------------------------
 Epoch 5
-  Training Accuracy: 0.9993
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0026
-  Validation Loss: 0.0018
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9987
+  Training Loss: 0.0014
+  Validation Loss: 0.0037
 --------------------------------------------------
 Epoch 6
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0015
-  Validation Loss: 0.0016
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0013
+  Validation Loss: 0.0030
 --------------------------------------------------
 Epoch 7
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0012
-  Validation Loss: 0.0014
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0006
+  Validation Loss: 0.0028
 --------------------------------------------------
 Epoch 8
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0008
-  Validation Loss: 0.0014
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9991
+  Training Loss: 0.0007
+  Validation Loss: 0.0027
 --------------------------------------------------
 Epoch 9
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0008
-  Validation Loss: 0.0014
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0004
+  Validation Loss: 0.0022
 --------------------------------------------------
 Epoch 10
-  Training Accuracy: 0.9996
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0011
-  Validation Loss: 0.0018
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0004
+  Validation Loss: 0.0020
 --------------------------------------------------
 Epoch 11
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0004
-  Validation Loss: 0.0009
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0005
+  Validation Loss: 0.0021
 --------------------------------------------------
 Epoch 12
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0003
-  Validation Loss: 0.0010
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0002
+  Validation Loss: 0.0024
 --------------------------------------------------
 Epoch 13
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0003
-  Validation Loss: 0.0009
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0005
+  Validation Loss: 0.0023
 --------------------------------------------------
 Epoch 14
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0006
-  Validation Loss: 0.0013
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0005
+  Validation Loss: 0.0023
 --------------------------------------------------
 Epoch 15
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0004
-  Validation Loss: 0.0009
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0002
+  Validation Loss: 0.0021
 --------------------------------------------------
 Epoch 16
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0004
-  Validation Loss: 0.0012
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0002
+  Validation Loss: 0.0031
 --------------------------------------------------
 Epoch 17
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0001
-  Validation Loss: 0.0015
---------------------------------------------------
-Epoch 18
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9992
   Training Loss: 0.0003
-  Validation Loss: 0.0012
+  Validation Loss: 0.0028
 --------------------------------------------------
-Epoch 19
+Epoch 18
   Training Accuracy: 0.9998
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9993
   Training Loss: 0.0004
-  Validation Loss: 0.0016
+  Validation Loss: 0.0033
 --------------------------------------------------
-Epoch 20
+Epoch 19
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9993
   Training Loss: 0.0003
-  Validation Loss: 0.0014
+  Validation Loss: 0.0030
+--------------------------------------------------
+Epoch 20
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0001
+  Validation Loss: 0.0026
 --------------------------------------------------
 Epoch 21
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0002
-  Validation Loss: 0.0007
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0001
+  Validation Loss: 0.0027
 --------------------------------------------------
 Epoch 22
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0002
-  Validation Loss: 0.0013
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0003
+  Validation Loss: 0.0029
 --------------------------------------------------
 Epoch 23
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9996
   Training Loss: 0.0001
-  Validation Loss: 0.0012
+  Validation Loss: 0.0020
 --------------------------------------------------
 Epoch 24
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0002
-  Validation Loss: 0.0013
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0003
+  Validation Loss: 0.0017
 --------------------------------------------------
 Epoch 25
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9997
   Training Loss: 0.0001
-  Validation Loss: 0.0013
+  Validation Loss: 0.0015
 --------------------------------------------------
 Epoch 26
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0001
-  Validation Loss: 0.0011
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0005
+  Validation Loss: 0.0021
 --------------------------------------------------
 Epoch 27
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0002
-  Validation Loss: 0.0008
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0001
+  Validation Loss: 0.0032
 --------------------------------------------------
 Epoch 28
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9992
   Training Loss: 0.0001
-  Validation Loss: 0.0011
+  Validation Loss: 0.0044
 --------------------------------------------------
 Epoch 29
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9996
+  Validation Accuracy: 0.9995
   Training Loss: 0.0001
-  Validation Loss: 0.0019
+  Validation Loss: 0.0023
 --------------------------------------------------
 Epoch 30
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0001
-  Validation Loss: 0.0009
+  Validation Accuracy: 0.9995
+  Training Loss: 0.0002
+  Validation Loss: 0.0020
 --------------------------------------------------

ConvNeXtBase/BINARY_ConvNeXtBase_Round5/BINARY_ConvNeXtBase_Round5.keras

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-size 354388232
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+size 354390599

ConvNeXtBase/BINARY_ConvNeXtBase_Round5/classification_metrics.txt

@@ -1,12 +1,12 @@
 Precision: 1.0000
-Recall: 1.0000
-Sensitivity: 1.0000
+Recall: 0.9992
+Sensitivity: 0.9992
 Specificity: 1.0000
-F1-Score: 1.0000
+F1-Score: 0.9996
 AUC: 1.0000
-MCC: 1.0000
-Cohen's Kappa: 1.0000
-Balanced Accuracy: 1.0000
-Jaccard Index: 1.0000
-Log Loss: 0.0002
-F0.5-Score: 1.0000
+MCC: 0.9992
+Cohen's Kappa: 0.9992
+Balanced Accuracy: 0.9996
+Jaccard Index: 0.9992
+Log Loss: 0.0006
+F0.5-Score: 0.9998

ConvNeXtBase/BINARY_ConvNeXtBase_Round5/testing_metrics.txt

@@ -1,3 +1,3 @@
-accuracy: 1.0000
+accuracy: 0.9996
 auc: 1.0000
-loss: 0.0002
+loss: 0.0006

ConvNeXtBase/BINARY_ConvNeXtBase_Round5/training_validation_metrics.txt

@@ -1,182 +1,182 @@
 Training and Validation Metrics Per Epoch
 ==================================================
 Epoch 1
-  Training Accuracy: 0.9778
-  Validation Accuracy: 0.9984
-  Training Loss: 0.0777
-  Validation Loss: 0.0122
+  Training Accuracy: 0.9856
+  Validation Accuracy: 0.9983
+  Training Loss: 0.0511
+  Validation Loss: 0.0081
 --------------------------------------------------
 Epoch 2
-  Training Accuracy: 0.9983
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0092
-  Validation Loss: 0.0054
+  Training Accuracy: 0.9986
+  Validation Accuracy: 0.9987
+  Training Loss: 0.0059
+  Validation Loss: 0.0046
 --------------------------------------------------
 Epoch 3
-  Training Accuracy: 0.9990
-  Validation Accuracy: 0.9990
-  Training Loss: 0.0046
-  Validation Loss: 0.0043
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9988
+  Training Loss: 0.0032
+  Validation Loss: 0.0041
 --------------------------------------------------
 Epoch 4
   Training Accuracy: 0.9995
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0029
-  Validation Loss: 0.0022
+  Validation Accuracy: 0.9990
+  Training Loss: 0.0023
+  Validation Loss: 0.0033
 --------------------------------------------------
 Epoch 5
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0018
-  Validation Loss: 0.0018
+  Training Accuracy: 0.9996
+  Validation Accuracy: 0.9989
+  Training Loss: 0.0014
+  Validation Loss: 0.0034
 --------------------------------------------------
 Epoch 6
   Training Accuracy: 0.9997
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0019
-  Validation Loss: 0.0012
+  Validation Accuracy: 0.9991
+  Training Loss: 0.0012
+  Validation Loss: 0.0036
 --------------------------------------------------
 Epoch 7
   Training Accuracy: 0.9998
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0013
-  Validation Loss: 0.0011
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0011
+  Validation Loss: 0.0032
 --------------------------------------------------
 Epoch 8
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9998
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9992
   Training Loss: 0.0009
-  Validation Loss: 0.0014
+  Validation Loss: 0.0037
 --------------------------------------------------
 Epoch 9
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0010
-  Validation Loss: 0.0013
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9991
+  Training Loss: 0.0008
+  Validation Loss: 0.0030
 --------------------------------------------------
 Epoch 10
   Training Accuracy: 0.9998
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0009
-  Validation Loss: 0.0011
+  Validation Accuracy: 0.9991
+  Training Loss: 0.0006
+  Validation Loss: 0.0033
 --------------------------------------------------
 Epoch 11
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0006
-  Validation Loss: 0.0015
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0003
+  Validation Loss: 0.0019
 --------------------------------------------------
 Epoch 12
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0005
-  Validation Loss: 0.0012
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0003
+  Validation Loss: 0.0023
 --------------------------------------------------
 Epoch 13
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0003
-  Validation Loss: 0.0012
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0002
+  Validation Loss: 0.0031
 --------------------------------------------------
 Epoch 14
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0005
-  Validation Loss: 0.0013
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0003
+  Validation Loss: 0.0021
 --------------------------------------------------
 Epoch 15
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9993
   Training Loss: 0.0005
-  Validation Loss: 0.0008
+  Validation Loss: 0.0023
 --------------------------------------------------
 Epoch 16
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0002
-  Validation Loss: 0.0010
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9995
+  Training Loss: 0.0003
+  Validation Loss: 0.0021
 --------------------------------------------------
 Epoch 17
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0009
-  Validation Loss: 0.0014
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0003
+  Validation Loss: 0.0025
 --------------------------------------------------
 Epoch 18
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0002
+  Validation Loss: 0.0025
+--------------------------------------------------
+Epoch 19
   Training Accuracy: 0.9999
   Validation Accuracy: 0.9994
-  Training Loss: 0.0004
+  Training Loss: 0.0002
   Validation Loss: 0.0022
 --------------------------------------------------
-Epoch 19
+Epoch 20
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0003
-  Validation Loss: 0.0009
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0002
+  Validation Loss: 0.0023
 --------------------------------------------------
-Epoch 20
+Epoch 21
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9994
   Training Loss: 0.0001
-  Validation Loss: 0.0011
---------------------------------------------------
-Epoch 21
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9996
-  Training Loss: 0.0002
-  Validation Loss: 0.0011
+  Validation Loss: 0.0025
 --------------------------------------------------
 Epoch 22
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0003
-  Validation Loss: 0.0012
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0001
+  Validation Loss: 0.0024
 --------------------------------------------------
 Epoch 23
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0001
-  Validation Loss: 0.0012
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0002
+  Validation Loss: 0.0022
 --------------------------------------------------
 Epoch 24
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0001
-  Validation Loss: 0.0011
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9995
+  Training Loss: 0.0002
+  Validation Loss: 0.0027
 --------------------------------------------------
 Epoch 25
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
+  Validation Accuracy: 0.9995
   Training Loss: 0.0001
-  Validation Loss: 0.0012
+  Validation Loss: 0.0030
 --------------------------------------------------
 Epoch 26
   Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0003
-  Validation Loss: 0.0011
+  Validation Accuracy: 0.9995
+  Training Loss: 0.0002
+  Validation Loss: 0.0027
 --------------------------------------------------
 Epoch 27
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9993
   Training Loss: 0.0001
-  Validation Loss: 0.0011
+  Validation Loss: 0.0031
 --------------------------------------------------
 Epoch 28
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0001
-  Validation Loss: 0.0009
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9995
+  Training Loss: 0.0002
+  Validation Loss: 0.0023
 --------------------------------------------------
 Epoch 29
   Training Accuracy: 1.0000
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0001
-  Validation Loss: 0.0010
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0000
+  Validation Loss: 0.0022
 --------------------------------------------------
 Epoch 30
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9998
-  Training Loss: 0.0001
-  Validation Loss: 0.0011
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9995
+  Training Loss: 0.0005
+  Validation Loss: 0.0020
 --------------------------------------------------