diff --git a/notebooks/chronos-2-quickstart.ipynb b/notebooks/chronos-2-quickstart.ipynb
index 783103e..e17a995 100644
--- a/notebooks/chronos-2-quickstart.ipynb
+++ b/notebooks/chronos-2-quickstart.ipynb
@@ -1450,7 +1450,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_2205321/1561245919.py:2: FutureWarning: Fine-tuning support is experimental and may be changed in future versions.\n",
+      "/tmp/ipykernel_2466579/3520825307.py:2: FutureWarning: Fine-tuning support is experimental and may be changed in future versions.\n",
       "  finetuned_pipeline = pipeline.fit(\n",
       "/fsx/ansarnd/repos/chronos-forecasting/.venv/lib/python3.11/site-packages/torch/backends/cuda/__init__.py:131: UserWarning: Please use the new API settings to control TF32 behavior, such as torch.backends.cudnn.conv.fp32_precision = 'tf32' or torch.backends.cuda.matmul.fp32_precision = 'ieee'. Old settings, e.g, torch.backends.cuda.matmul.allow_tf32 = True, torch.backends.cudnn.allow_tf32 = True, allowTF32CuDNN() and allowTF32CuBLAS() will be deprecated after Pytorch 2.9. Please see https://pytorch.org/docs/main/notes/cuda.html#tensorfloat-32-tf32-on-ampere-and-later-devices (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:80.)\n",
       "  return torch._C._get_cublas_allow_tf32()\n",
@@ -1474,6 +1474,26 @@
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>10</td>\n",
+       "      <td>0.387400</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>20</td>\n",
+       "      <td>0.345000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>30</td>\n",
+       "      <td>0.362900</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>40</td>\n",
+       "      <td>0.346400</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>50</td>\n",
+       "      <td>0.343400</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table><p>"
       ],
@@ -1493,6 +1513,7 @@
     "    num_steps=50,  # few fine-tuning steps for a quick demo\n",
     "    learning_rate=1e-5,\n",
     "    batch_size=32,\n",
+    "    logging_steps=10,\n",
     ")"
    ]
   },