diff --git a/cw/11_Model_rekurencyjny_z_atencją.ipynb b/cw/11_Model_rekurencyjny_z_atencją.ipynb
index 46e0a90..4161f6a 100644
--- a/cw/11_Model_rekurencyjny_z_atencją.ipynb
+++ b/cw/11_Model_rekurencyjny_z_atencją.ipynb
@@ -250,12 +250,13 @@
    "outputs": [],
    "source": [
     "class EncoderRNN(nn.Module):\n",
-    "    def __init__(self, input_size, hidden_size):\n",
+    "    def __init__(self, input_size, embedding_size, hidden_size):\n",
     "        super(EncoderRNN, self).__init__()\n",
+    "        self.embedding_size = 200\n",
     "        self.hidden_size = hidden_size\n",
     "\n",
-    "        self.embedding = nn.Embedding(input_size, hidden_size)\n",
-    "        self.gru = nn.GRU(hidden_size, hidden_size)\n",
+    "        self.embedding = nn.Embedding(input_size, self.embedding_size)\n",
+    "        self.gru = nn.GRU(self.embedding_size, hidden_size)\n",
     "\n",
     "    def forward(self, input, hidden):\n",
     "        embedded = self.embedding(input).view(1, 1, -1)\n",
@@ -274,12 +275,13 @@
    "outputs": [],
    "source": [
     "class DecoderRNN(nn.Module):\n",
-    "    def __init__(self, hidden_size, output_size):\n",
+    "    def __init__(self, embedding_size, hidden_size, output_size):\n",
     "        super(DecoderRNN, self).__init__()\n",
+    "        self.embedding_size = embedding_size\n",
     "        self.hidden_size = hidden_size\n",
     "\n",
-    "        self.embedding = nn.Embedding(output_size, hidden_size)\n",
-    "        self.gru = nn.GRU(hidden_size, hidden_size)\n",
+    "        self.embedding = nn.Embedding(output_size, self.embedding_size)\n",
+    "        self.gru = nn.GRU(self.embedding_size, hidden_size)\n",
     "        self.out = nn.Linear(hidden_size, output_size)\n",
     "        self.softmax = nn.LogSoftmax(dim=1)\n",
     "\n",
@@ -301,18 +303,19 @@
    "outputs": [],
    "source": [
     "class AttnDecoderRNN(nn.Module):\n",
-    "    def __init__(self, hidden_size, output_size, dropout_p=0.1, max_length=MAX_LENGTH):\n",
+    "    def __init__(self, embedding_size, hidden_size, output_size, dropout_p=0.1, max_length=MAX_LENGTH):\n",
     "        super(AttnDecoderRNN, self).__init__()\n",
+    "        self.embedding_size = embedding_size\n",
     "        self.hidden_size = hidden_size\n",
     "        self.output_size = output_size\n",
     "        self.dropout_p = dropout_p\n",
     "        self.max_length = max_length\n",
     "\n",
-    "        self.embedding = nn.Embedding(self.output_size, self.hidden_size)\n",
-    "        self.attn = nn.Linear(self.hidden_size * 2, self.max_length)\n",
-    "        self.attn_combine = nn.Linear(self.hidden_size * 2, self.hidden_size)\n",
+    "        self.embedding = nn.Embedding(self.output_size, self.embedding_size)\n",
+    "        self.attn = nn.Linear(self.hidden_size + self.embedding_size, self.max_length)\n",
+    "        self.attn_combine = nn.Linear(self.hidden_size + self.embedding_size, self.embedding_size)\n",
     "        self.dropout = nn.Dropout(self.dropout_p)\n",
-    "        self.gru = nn.GRU(self.hidden_size, self.hidden_size)\n",
+    "        self.gru = nn.GRU(self.embedding_size, self.hidden_size)\n",
     "        self.out = nn.Linear(self.hidden_size, self.output_size)\n",
     "\n",
     "    def forward(self, input, hidden, encoder_outputs):\n",
@@ -323,6 +326,7 @@
     "            self.attn(torch.cat((embedded[0], hidden[0]), 1)), dim=1)\n",
     "        attn_applied = torch.bmm(attn_weights.unsqueeze(0),\n",
     "                                 encoder_outputs.unsqueeze(0))\n",
+    "        #import pdb; pdb.set_trace()\n",
     "\n",
     "        output = torch.cat((embedded[0], attn_applied[0]), 1)\n",
     "        output = self.attn_combine(output).unsqueeze(0)\n",
@@ -508,9 +512,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "embedding_size = 200\n",
     "hidden_size = 256\n",
-    "encoder1 = EncoderRNN(eng_lang.n_words, hidden_size).to(device)\n",
-    "attn_decoder1 = AttnDecoderRNN(hidden_size, pol_lang.n_words, dropout_p=0.1).to(device)"
+    "encoder1 = EncoderRNN(eng_lang.n_words, embedding_size, hidden_size).to(device)\n",
+    "attn_decoder1 = AttnDecoderRNN(embedding_size, hidden_size, pol_lang.n_words, dropout_p=0.1).to(device)"
    ]
   },
   {
@@ -522,206 +527,206 @@
      "name": "stdout",
      "output_type": "stream",
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      ]
     }
    ],
@@ -740,45 +745,45 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "> we re both in the same class .\n",
-      "= jesteśmy oboje w tej samej klasie .\n",
-      "< jesteśmy w w . <EOS>\n",
+      "> he is a tennis player .\n",
+      "= on jest tenisistą .\n",
+      "< jest tenisistą . <EOS>\n",
       "\n",
-      "> you re telling lies again .\n",
-      "= znowu kłamiesz .\n",
-      "< znowu mi . <EOS>\n",
+      "> i m not going to change my mind .\n",
+      "= nie zamierzam zmieniać zdania .\n",
+      "< nie idę do . <EOS>\n",
       "\n",
-      "> i m glad you re back .\n",
-      "= cieszę się że wróciliście .\n",
-      "< cieszę się że . . <EOS>\n",
+      "> i m totally confused .\n",
+      "= jestem kompletnie zmieszany .\n",
+      "< jestem dziś . . <EOS>\n",
       "\n",
-      "> i m not going to have any fun .\n",
-      "= nie będę się bawił .\n",
-      "< nie wolno się . . <EOS>\n",
+      "> he is a pioneer in this field .\n",
+      "= jest pionierem w tej dziedzinie .\n",
+      "< on jest w w . . <EOS>\n",
       "\n",
-      "> i m practising judo .\n",
-      "= trenuję dżudo .\n",
-      "< jestem . . <EOS>\n",
+      "> i m so excited .\n",
+      "= jestem taki podekscytowany !\n",
+      "< jestem jestem głodny . <EOS>\n",
       "\n",
-      "> you re wasting our time .\n",
-      "= marnujesz nasz czas .\n",
-      "< masz ci na . . <EOS>\n",
+      "> they are a party of six .\n",
+      "= jest ich sześć osób .\n",
+      "< oni nie są . . <EOS>\n",
       "\n",
-      "> he is anxious about her health .\n",
-      "= on martwi się o jej zdrowie .\n",
-      "< jest bardzo z niej . . <EOS>\n",
+      "> he is the father of two children .\n",
+      "= on jest ojcem dwójki dzieci .\n",
+      "< on jest na do . . <EOS>\n",
       "\n",
-      "> you re introverted .\n",
-      "= jesteś zamknięty w sobie .\n",
-      "< masz . <EOS>\n",
+      "> i am leaving at four .\n",
+      "= wychodzę o czwartej .\n",
+      "< jestem na . <EOS>\n",
       "\n",
-      "> she s correct for sure .\n",
-      "= ona z pewnością ma rację .\n",
-      "< ona jest z z . <EOS>\n",
+      "> i m not much of a writer .\n",
+      "= pisarz ze mnie żaden .\n",
+      "< nie jestem mnie . . <EOS>\n",
       "\n",
-      "> they re armed .\n",
-      "= są uzbrojeni .\n",
-      "< są . . <EOS>\n",
+      "> you re disgusting !\n",
+      "= jesteś obrzydliwy !\n",
+      "< jesteś obrzydliwy . <EOS>\n",
       "\n"
      ]
     }