diff --git a/19_learner.ipynb b/19_learner.ipynb
index e53b42a..8944fe9 100644
--- a/19_learner.ipynb
+++ b/19_learner.ipynb
@@ -1326,7 +1326,7 @@
    "outputs": [],
    "source": [
     "class SGD:\n",
-    "    def __init__(self, params, lr, wd=0.): store_attr(self, 'params,lr,wd')\n",
+    "    def __init__(self, params, lr, wd=0.): store_attr()\n",
     "    def step(self):\n",
     "        for p in self.params:\n",
     "            p.data -= (p.grad.data + p.data*self.wd) * self.lr\n",
@@ -1367,7 +1367,7 @@
    "source": [
     "class Learner:\n",
     "    def __init__(self, model, dls, loss_func, lr, cbs, opt_func=SGD):\n",
-    "        store_attr(self, 'model,dls,loss_func,lr,cbs,opt_func')\n",
+    "        store_attr()\n",
     "        for cb in cbs: cb.learner = self\n",
     "\n",
     "    def one_batch(self):\n",
diff --git a/clean/19_learner.ipynb b/clean/19_learner.ipynb
index e9cf3a0..7012fc0 100644
--- a/clean/19_learner.ipynb
+++ b/clean/19_learner.ipynb
@@ -606,7 +606,7 @@
    "outputs": [],
    "source": [
     "class SGD:\n",
-    "    def __init__(self, params, lr, wd=0.): store_attr(self, 'params,lr,wd')\n",
+    "    def __init__(self, params, lr, wd=0.): store_attr()\n",
     "    def step(self):\n",
     "        for p in self.params:\n",
     "            p.data -= (p.grad.data + p.data*self.wd) * self.lr\n",
@@ -633,7 +633,7 @@
    "source": [
     "class Learner:\n",
     "    def __init__(self, model, dls, loss_func, lr, cbs, opt_func=SGD):\n",
-    "        store_attr(self, 'model,dls,loss_func,lr,cbs,opt_func')\n",
+    "        store_attr()\n",
     "        for cb in cbs: cb.learner = self\n",
     "\n",
     "    def one_batch(self):\n",