Update REPORT2_Modification1_Training_Results_in_Colab

REPORT2_Modification1_Training_Results_in_Colab

@@ -25,7 +25,7 @@ Data loaded. Training on cuda.
   Validation samples: 2000
   Test samples:       9999
 
-Model V2.0 initialized with 1,19X,XXX trainable parameters (more efficient!).
+Model V2.0 initialized with 1,198,858 trainable parameters (more efficient!).
 
 --- Starting Training (V2 Model) ---
 Epoch 01/25 | Train Loss: 2.2214 | Val Loss: 2.0350 | Val Acc: 25.30%
@@ -71,4 +71,12 @@ Epoch 22/25 | Train Loss: 0.1922 | Val Loss: 0.1755 | Val Acc: 94.85%
   -> New best validation accuracy! Saving model state.
 Epoch 23/25 | Train Loss: 0.1786 | Val Loss: 0.1668 | Val Acc: 95.20%
   -> New best validation accuracy! Saving model state.
-Epoch 24/25 | Train Loss: 0.1751 | Val Loss: 0.1628 | Val Acc: 95.10%
+Epoch 24/25 | Train Loss: 0.1751 | Val Loss: 0.1628 | Val Acc: 95.10%
+Epoch 25/25 | Train Loss: 0.1649 | Val Loss: 0.1583 | Val Acc: 95.35%
+  -> New best validation accuracy! Saving model state.
+--- Training Finished ---
+
+--- Evaluating on Test Set (V2 Model) ---
+                                                                     Final Test Loss: 0.1376
+Final Test Accuracy: 95.83%
+-------------------------------------------