[doc] do not save model in tutorial (#6614)

notebooks/stochastic_training/node_classification.ipynb

@@ -4,8 +4,7 @@
   "metadata": {
     "colab": {
       "private_outputs": true,
-      "provenance": [],
-      "authorship_tag": "ABX9TyMWE8zjXNzesRPRk8RK7jsv"
+      "provenance": []
     },
     "kernelspec": {
       "name": "python3",
@@ -313,8 +312,6 @@
       "source": [
         "import tqdm\n",
         "\n",
-        "best_accuracy = 0\n",
-        "best_model_path = \"model.pt\"\n",
         "for epoch in range(10):\n",
         "    model.train()\n",
         "\n",
@@ -353,9 +350,6 @@
         "        labels = np.concatenate(labels)\n",
         "        accuracy = sklearn.metrics.accuracy_score(labels, predictions)\n",
         "        print(\"Epoch {} Validation Accuracy {}\".format(epoch, accuracy))\n",
-        "        if best_accuracy < accuracy:\n",
-        "            best_accuracy = accuracy\n",
-        "            torch.save(model.state_dict(), best_model_path)\n",
         "\n",
         "        # Note that this tutorial do not train the whole model to the end.\n",
         "        break"
@@ -378,4 +372,4 @@
       }
     }
   ]
-}
+}
\ No newline at end of file