diff --git a/nbs/04_minibatch_training.ipynb b/nbs/04_minibatch_training.ipynb
index 5a7b56c..5df085f 100644
--- a/nbs/04_minibatch_training.ipynb
+++ b/nbs/04_minibatch_training.ipynb
@@ -1532,7 +1532,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1564,7 +1564,7 @@
     "def fit():\n",
     "    for epoch in range(epochs):\n",
     "        for xb,yb in train_dl:\n",
-    "            pred = model(xb)\n",
+    "            preds = model(xb)\n",
     "            loss = loss_func(pred, yb)\n",
     "            loss.backward()\n",
     "            opt.step()\n",
@@ -1824,7 +1824,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]