Update sample

sample

@@ -1,6 +1,5 @@
-Train accuracy
+Train accuracy = 89.648%
 
-1515/1515 [00:53<00:00, 28.33it/s]num_classes: 7
 per_face_accuracy: 0.8964884874006657
 mean_confidence: 0.90162826
 class_0_acc: 0.8309014514896867
@@ -16,9 +15,8 @@ IoU: 0.80784581826577
 
 
 
-Test Accuracy
+Test Accuracy = 86.432%
 
-191/191 [00:10<00:00, 18.99it/s]num_classes: 7
 per_face_accuracy: 0.864323620706919
 mean_confidence: 0.89635736
 class_0_acc: 0.7909681833732467
@@ -34,9 +32,8 @@ IoU: 0.7578926103706184
 
 
 
-Unseen Accuracy
+Unseen Accuracy (Current AI Model) = 86.64%
 
-49/49 [00:03<00:00, 14.00it/s]num_classes: 7
 per_face_accuracy: 0.866403162055336
 mean_confidence: 0.8827821
 class_0_acc: 0.875
@@ -49,3 +46,19 @@ class_6_acc: 0.9120370370370371
 per_class_accuracy: 0.8747658783864625
 IoU: 0.7264917818820532
 49/49 [00:03<00:00, 13.94it/s]
+
+
+Unseen Accuracy (Previous AI Model) = 64.15%
+
+per_face_accuracy: 0.6415019762845849
+mean_confidence: 0.79006696
+class_0_acc: 0.5881410256410257
+class_1_acc: 0.93058568329718
+class_2_acc: 0.38207547169811323
+class_3_acc: 0.22641509433962265
+class_4_acc: 0.6273764258555133
+class_5_acc: 0.6433666191155493
+class_6_acc: 0.5462962962962963
+per_class_accuracy: 0.5634652308919
+IoU: 0.40713622181722414
+49/49 [00:08<00:00,  6.12it/s]