Initializing...
Performance and Training Settings:
Test Accuracy: 0.6857142448425293
Test Loss: 1.1961393356323242
Precision: 0.6904761904761904
Recall: 0.6777777777777777
F1 Score: 0.6709401709401709
AUC: 0.816
Per Class Precision: 0.5714285714285714,0.5,1
Per Class Recall: 0.8,0.5,0.7333333333333333
Per Class F1 Score: 0.6666666666666666,0.5,0.846153846153846
Per Class AUC: 0.7839999999999999,0.744,0.92
Validation Accuracy: 0.6571428179740906
Validation Loss: 0.8666220307350159
Training Accuracy: 0.9180887937545776
Training Loss: 0.26207441091537476
Class Counts (n): 102, 105, 156
Outcome: major amp, minor amp, salvage
Number of Epochs: 14
Initial Learning Rate: 0.001
Batch Size: 16
Image Augmentation: Flip Horizontal
Confusion Matrix:
Training and Validation Logs:
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