diff --git a/mlmodel/Final/FINAL_car_prediction_cnn_BRAND.ipynb b/mlmodel/Final/FINAL_car_prediction_cnn_BRAND.ipynb
index 4efae187e98c6e83c1cd5d7e2e78e2d9fd67084a..82fc58bc8218ba604c3e0291387d5eebe540ca65 100644
--- a/mlmodel/Final/FINAL_car_prediction_cnn_BRAND.ipynb
+++ b/mlmodel/Final/FINAL_car_prediction_cnn_BRAND.ipynb
@@ -602,6 +602,21 @@
     ")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "45f4b04a",
+   "metadata": {},
+   "source": [
+    "Epoch 1/100\n",
+    "75/75 ━━━━━━━━━━━━━━━━━━━━ 44s 564ms/step - accuracy: 0.0413 - loss: 5.2123 - val_accuracy: 0.0285 - val_loss: 3.1749\n",
+    "Epoch 2/100\n",
+    "75/75 ━━━━━━━━━━━━━━━━━━━━ 47s 595ms/step - accuracy: 0.0466 - loss: 5.1717 - val_accuracy: 0.0271 - val_loss: 8.1496\n",
+    "Epoch 3/100\n",
+    "75/75 ━━━━━━━━━━━━━━━━━━━━ 42s 544ms/step - accuracy: 0.0312 - loss: 6.1538 - val_accuracy: 0.0252 - val_loss: 128.1242\n",
+    "Epoch 4/100\n",
+    "75/75 ━━━━━━━━━━━━━━━━━━━━ 42s 541ms/step - accuracy: 0.0344 - loss: 6.1308 - val_accuracy: 0.0204 - val_loss: 1824.0942"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "e2625de2",