update train file nam

01.train_ODC_MobileNet.ipynb

@@ -428,55 +428,6 @@
     "plt.tight_layout()\n",
     "plt.show()\n"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "28f87d0e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import json\n",
-    "from datetime import datetime\n",
-    "\n",
-    "# ── Lưu mô hình PyTorch ────────────────────────────────────────────────────────\n",
-    "model_path = \"model_mobilenet_land_use.pth\"\n",
-    "torch.save(model.state_dict(), model_path)\n",
-    "print(f\"✅ Model saved → {model_path}\")\n",
-    "\n",
-    "# ── Lưu thông tin mô hình ──────────────────────────────────────────────────────\n",
-    "info = {\n",
-    "    \"model_type\": \"MobileNetV3_LR-ASPP\",\n",
-    "    \"n_features\": n_features,\n",
-    "    \"n_classes\": n_classes,\n",
-    "    \"learning_rate\": LEARNING_RATE,\n",
-    "    \"batch_size\": BATCH_SIZE,\n",
-    "    \"max_epochs\": N_EPOCHS,\n",
-    "    \"early_stopping_patience\": PATIENCE,\n",
-    "    \"optimizer\": \"Adam\",\n",
-    "    \"scheduler\": \"ReduceLROnPlateau(factor=0.5, patience=5)\",\n",
-    "    \"class_weight\": \"balanced\",\n",
-    "    \"label_mapping\": label_mapping,\n",
-    "    \"test_accuracy\": float(acc),\n",
-    "    \"train_samples\": len(X_train_np),\n",
-    "    \"val_samples\": len(X_val_np),\n",
-    "    \"test_samples\": len(X_test_np),\n",
-    "    \"saved_at\": datetime.now().isoformat(),\n",
-    "}\n",
-    "info_path = \"model_mobilenet_land_use_info.json\"\n",
-    "with open(info_path, \"w\") as f:\n",
-    "    json.dump(info, f, indent=2, ensure_ascii=False)\n",
-    "print(f\"✅ Info saved  → {info_path}\")\n",
-    "print(json.dumps(info, indent=2, ensure_ascii=False))\n",
-    "\n",
-    "# ── Đóng kết nối Dask ──────────────────────────────────────────────────────────\n",
-    "try:\n",
-    "    client.close()\n",
-    "    cluster.close()\n",
-    "    print(\"✅ Dask cluster closed.\")\n",
-    "except Exception:\n",
-    "    pass\n"
-   ]
   }
  ],
  "metadata": {