diff --git a/ch06/01_main-chapter-code/exercise-solutions.ipynb b/ch06/01_main-chapter-code/exercise-solutions.ipynb
index 5d10ed55..10de5b66 100644
--- a/ch06/01_main-chapter-code/exercise-solutions.ipynb
+++ b/ch06/01_main-chapter-code/exercise-solutions.ipynb
@@ -49,7 +49,6 @@
     "train_dataset = SpamDataset(base_path / \"train.csv\", max_length=max_length, tokenizer=tokenizer)\n",
     "val_dataset = SpamDataset(base_path / \"validation.csv\", max_length=max_length, tokenizer=tokenizer)\n",
     "test_dataset = SpamDataset(base_path / \"test.csv\", max_length=max_length, tokenizer=tokenizer)\n",
-    "\n",
     "```\n",
     "\n",
     "or, equivalently, we can define the `max_length` via:\n",
@@ -72,7 +71,7 @@
    "source": [
     "For convenience, you can run this experiment via\n",
     "\n",
-    "```\n",
+    "```bash\n",
     "python additional-experiments.py --context_length \"model_context_length\"\n",
     "```\n",
     "\n",
@@ -101,7 +100,7 @@
     "\n",
     "For convenience, you can run this experiment via\n",
     "\n",
-    "```\n",
+    "```bash\n",
     "python additional-experiments.py --trainable_layers all\n",
     "```\n",
     "\n",
@@ -143,14 +142,6 @@
     "\n",
     "using the code in the [../02_bonus_additional-experiments](../02_bonus_additional-experiments) folder, which results in a substantially worse test accuracy of 75.00% (versus the 95.67% in the main chapter)."
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e5e6188a-f182-4f26-b9e5-ccae3ecadae0",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -169,7 +160,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.10.11"
   }
  },
  "nbformat": 4,