diff --git a/hatt_train.ipynb b/hatt_train.ipynb
index 16a2c42..d732e1c 100644
--- a/hatt_train.ipynb
+++ b/hatt_train.ipynb
@@ -2537,22 +2537,6 @@
     "np.save('/data/tmp/embedding_matrix', embedding_matrix)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": true,
-    "deletable": true,
-    "editable": true
-   },
-   "outputs": [],
-   "source": [
-    "x_train = np.load('/data/tmp/x_train.npy')\n",
-    "y_train = np.load('/data/tmp/y_train.npy')\n",
-    "reviews = np.load('/data/tmp/reviews.npy')\n",
-    "embedding_matrix = np.load('/data/tmp/embedding_matrix.npy')"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 5,
diff --git a/lstm_word2vec.ipynb b/lstm_word2vec.ipynb
index deb14f5..4cb4b1e 100644
--- a/lstm_word2vec.ipynb
+++ b/lstm_word2vec.ipynb
@@ -1317,7 +1317,6 @@
    "source": [
     "BATCH_SIZE = 100\n",
     "NUM_EPOCHS = 10\n",
-    "REG_PARAMS = [1e-7, 1e-3, 1e1]\n",
     "LSTM_DIM = 100\n",
     "OPTIMIZER = SGD(lr=0.01, nesterov=True)"
    ]
@@ -1380,30 +1379,6 @@
     "        res_file.write(str(history.history))"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": false,
-    "deletable": true,
-    "editable": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 1/10\n",
-      "16017s - loss: 1.1015 - acc: 0.5225\n",
-      "Epoch 4/10\n"
-     ]
-    }
-   ],
-   "source": [
-    "for reg_param in REG_PARAMS:\n",
-    "    lstm_create_train(reg_param)"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -1439,31 +1414,13 @@
     "# Tensorflow automatically uses several cores and one GPU of the DSVM. "
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/anaconda/envs/py35/lib/python3.5/site-packages/keras/models.py:281: UserWarning: Error in loading the saved optimizer state. As a result, your model is starting with a freshly initialized optimizer.\n",
-      "  warnings.warn('Error in loading the saved optimizer '\n"
-     ]
-    }
-   ],
-   "source": [
-    "model = load_model('model_wvec_1e-10.h5')"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": []