diff --git a/2. Word2Vec/out.tsv b/2. Word2Vec/out.tsv
index 57ff47e..0118902 100644
--- a/2. Word2Vec/out.tsv	
+++ b/2. Word2Vec/out.tsv	
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diff --git a/2. Word2Vec/word2vec.ipynb b/2. Word2Vec/word2vec.ipynb
index 604c6d9..aae5f34 100644
--- a/2. Word2Vec/word2vec.ipynb	
+++ b/2. Word2Vec/word2vec.ipynb	
@@ -2,19 +2,10 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 23,
    "id": "36c02fac",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "WARNING:tensorflow:From C:\\Users\\Pawel\\anaconda3\\Lib\\site-packages\\keras\\src\\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.\n",
-      "\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import os\n",
     "import pandas as pd\n",
@@ -217,45 +208,45 @@
       "\n",
       "WARNING:tensorflow:From C:\\Users\\Pawel\\anaconda3\\Lib\\site-packages\\keras\\src\\engine\\base_layer_utils.py:384: The name tf.executing_eagerly_outside_functions is deprecated. Please use tf.compat.v1.executing_eagerly_outside_functions instead.\n",
       "\n",
-      "3067/3067 [==============================] - 6s 1ms/step - loss: 0.1954 - accuracy: 0.9327 - val_loss: 0.1472 - val_accuracy: 0.9450\n",
+      "3067/3067 [==============================] - 17s 4ms/step - loss: 0.1955 - accuracy: 0.9319 - val_loss: 0.1569 - val_accuracy: 0.9404\n",
       "Epoch 2/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.1389 - accuracy: 0.9479 - val_loss: 0.1354 - val_accuracy: 0.9477\n",
+      "3067/3067 [==============================] - 11s 4ms/step - loss: 0.1393 - accuracy: 0.9471 - val_loss: 0.1337 - val_accuracy: 0.9450\n",
       "Epoch 3/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.1261 - accuracy: 0.9516 - val_loss: 0.1287 - val_accuracy: 0.9490\n",
+      "3067/3067 [==============================] - 10s 3ms/step - loss: 0.1264 - accuracy: 0.9523 - val_loss: 0.1410 - val_accuracy: 0.9426\n",
       "Epoch 4/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.1183 - accuracy: 0.9554 - val_loss: 0.1324 - val_accuracy: 0.9463\n",
+      "3067/3067 [==============================] - 15s 5ms/step - loss: 0.1189 - accuracy: 0.9543 - val_loss: 0.1231 - val_accuracy: 0.9516\n",
       "Epoch 5/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.1125 - accuracy: 0.9572 - val_loss: 0.1196 - val_accuracy: 0.9507\n",
+      "3067/3067 [==============================] - 16s 5ms/step - loss: 0.1133 - accuracy: 0.9570 - val_loss: 0.1206 - val_accuracy: 0.9490\n",
       "Epoch 6/20\n",
-      "3067/3067 [==============================] - 5s 1ms/step - loss: 0.1068 - accuracy: 0.9592 - val_loss: 0.1153 - val_accuracy: 0.9525\n",
+      "3067/3067 [==============================] - 17s 6ms/step - loss: 0.1076 - accuracy: 0.9588 - val_loss: 0.1220 - val_accuracy: 0.9481\n",
       "Epoch 7/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.1030 - accuracy: 0.9607 - val_loss: 0.1234 - val_accuracy: 0.9521\n",
+      "3067/3067 [==============================] - 11s 4ms/step - loss: 0.1039 - accuracy: 0.9605 - val_loss: 0.1125 - val_accuracy: 0.9541\n",
       "Epoch 8/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.1001 - accuracy: 0.9619 - val_loss: 0.1319 - val_accuracy: 0.9459\n",
+      "3067/3067 [==============================] - 18s 6ms/step - loss: 0.0997 - accuracy: 0.9620 - val_loss: 0.1123 - val_accuracy: 0.9536\n",
       "Epoch 9/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.0973 - accuracy: 0.9630 - val_loss: 0.1251 - val_accuracy: 0.9507\n",
+      "3067/3067 [==============================] - 17s 6ms/step - loss: 0.0964 - accuracy: 0.9639 - val_loss: 0.1092 - val_accuracy: 0.9547\n",
       "Epoch 10/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.0943 - accuracy: 0.9646 - val_loss: 0.1276 - val_accuracy: 0.9521\n",
+      "3067/3067 [==============================] - 11s 4ms/step - loss: 0.0936 - accuracy: 0.9645 - val_loss: 0.1120 - val_accuracy: 0.9567\n",
       "Epoch 11/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.0913 - accuracy: 0.9662 - val_loss: 0.1151 - val_accuracy: 0.9543\n",
+      "3067/3067 [==============================] - 17s 5ms/step - loss: 0.0906 - accuracy: 0.9656 - val_loss: 0.1170 - val_accuracy: 0.9527\n",
       "Epoch 12/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.0893 - accuracy: 0.9669 - val_loss: 0.1176 - val_accuracy: 0.9536\n",
+      "3067/3067 [==============================] - 12s 4ms/step - loss: 0.0882 - accuracy: 0.9670 - val_loss: 0.1171 - val_accuracy: 0.9549\n",
       "Epoch 13/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.0867 - accuracy: 0.9671 - val_loss: 0.1252 - val_accuracy: 0.9505\n",
+      "3067/3067 [==============================] - 18s 6ms/step - loss: 0.0854 - accuracy: 0.9681 - val_loss: 0.1120 - val_accuracy: 0.9567\n",
       "Epoch 14/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.0852 - accuracy: 0.9685 - val_loss: 0.1309 - val_accuracy: 0.9514\n",
+      "3067/3067 [==============================] - 13s 4ms/step - loss: 0.0830 - accuracy: 0.9688 - val_loss: 0.1171 - val_accuracy: 0.9562\n",
       "Epoch 15/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.0828 - accuracy: 0.9692 - val_loss: 0.1208 - val_accuracy: 0.9543\n",
+      "3067/3067 [==============================] - 12s 4ms/step - loss: 0.0810 - accuracy: 0.9695 - val_loss: 0.1226 - val_accuracy: 0.9510\n",
       "Epoch 16/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.0808 - accuracy: 0.9696 - val_loss: 0.1311 - val_accuracy: 0.9503\n",
+      "3067/3067 [==============================] - 16s 5ms/step - loss: 0.0791 - accuracy: 0.9704 - val_loss: 0.1167 - val_accuracy: 0.9567\n",
       "Epoch 17/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.0794 - accuracy: 0.9703 - val_loss: 0.1301 - val_accuracy: 0.9519\n",
+      "3067/3067 [==============================] - 14s 4ms/step - loss: 0.0776 - accuracy: 0.9709 - val_loss: 0.1264 - val_accuracy: 0.9532\n",
       "Epoch 18/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.0778 - accuracy: 0.9710 - val_loss: 0.1237 - val_accuracy: 0.9518\n",
+      "3067/3067 [==============================] - 14s 4ms/step - loss: 0.0755 - accuracy: 0.9714 - val_loss: 0.1191 - val_accuracy: 0.9519\n",
       "Epoch 19/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.0751 - accuracy: 0.9720 - val_loss: 0.1280 - val_accuracy: 0.9507\n",
+      "3067/3067 [==============================] - 13s 4ms/step - loss: 0.0742 - accuracy: 0.9722 - val_loss: 0.1190 - val_accuracy: 0.9545\n",
       "Epoch 20/20\n",
-      "3067/3067 [==============================] - 4s 1ms/step - loss: 0.0744 - accuracy: 0.9722 - val_loss: 0.1239 - val_accuracy: 0.9510\n"
+      "3067/3067 [==============================] - 13s 4ms/step - loss: 0.0725 - accuracy: 0.9732 - val_loss: 0.1295 - val_accuracy: 0.9552\n"
      ]
     }
    ],
@@ -271,7 +262,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -300,20 +291,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 26,
    "id": "54f93a9b",
    "metadata": {},
    "outputs": [],
    "source": [
     "def predict_and_save(X, filename):\n",
     "    Y_predicted = model.predict(X)\n",
+    "    Y_predicted = np.round(Y_predicted,0).astype(int)\n",
     "    Y_predicted_df = pd.DataFrame(Y_predicted, columns=['predicted_label'])\n",
     "    Y_predicted_df.to_csv(filename, sep='\\t', index=False, header=None)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 27,
    "id": "9d3b3867",
    "metadata": {},
    "outputs": [
@@ -321,8 +313,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "171/171 [==============================] - 0s 906us/step\n",
-      "171/171 [==============================] - 0s 900us/step\n"
+      "171/171 [==============================] - 0s 3ms/step\n",
+      "171/171 [==============================] - 1s 3ms/step\n"
      ]
     }
    ],