diff --git a/02_pytorch_classification.ipynb b/02_pytorch_classification.ipynb
index 03064f5d..0a4c44ba 100644
--- a/02_pytorch_classification.ipynb
+++ b/02_pytorch_classification.ipynb
@@ -1377,7 +1377,7 @@
     "\n",
     "    # 1. Forward pass (model outputs raw logits)\n",
     "    y_logits = model_0(X_train).squeeze() # squeeze to remove extra `1` dimensions, this won't work unless model and data are on same device \n",
-    "    y_pred = torch.round(torch.sigmoid(y_logits)) # turn logits -> pred probs -> pred labls\n",
+    "    y_pred = torch.round(torch.sigmoid(y_logits)) # turn logits -> pred probs -> pred labels\n",
     "  \n",
     "    # 2. Calculate loss/accuracy\n",
     "    # loss = loss_fn(torch.sigmoid(y_logits), # Using nn.BCELoss you need torch.sigmoid()\n",