word2vec_demo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 下載訓練資料(這邊使用 wiki Data)\n",
    "## 主要以 pages-articles.xml.bz2 結尾之檔案類型\n",
    "* 維基資料集: https://zh.wikipedia.org/wiki/Wikipedia:%E6%95%B0%E6%8D%AE%E5%BA%93%E4%B8%8B%E8%BD%BD\n",
    "* 這邊以　[zhwiki-latest-pages-meta-current.xml.bz2　為訓練集](https://dumps.wikimedia.org/zhwiki/latest/)。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 將 Wiki 資料轉為 txt(請先下載 zhwiki-latest-pages-meta-current.xml.bz2 至同一個目錄下)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 16:24:52,595 : INFO : 目前已處理 10000 篇文章\n",
      "2018-09-09 16:25:17,922 : INFO : 目前已處理 20000 篇文章\n",
      "2018-09-09 16:25:41,908 : INFO : 目前已處理 30000 篇文章\n",
      "2018-09-09 16:26:09,030 : INFO : 目前已處理 40000 篇文章\n",
      "2018-09-09 16:26:36,661 : INFO : 目前已處理 50000 篇文章\n",
      "2018-09-09 16:27:09,588 : INFO : 目前已處理 60000 篇文章\n",
      "2018-09-09 16:27:35,170 : INFO : 目前已處理 70000 篇文章\n",
      "2018-09-09 16:28:01,230 : INFO : 目前已處理 80000 篇文章\n",
      "2018-09-09 16:28:26,329 : INFO : 目前已處理 90000 篇文章\n",
      "2018-09-09 16:28:53,387 : INFO : 目前已處理 100000 篇文章\n",
      "2018-09-09 16:29:31,692 : INFO : 目前已處理 110000 篇文章\n",
      "2018-09-09 16:30:02,021 : INFO : 目前已處理 120000 篇文章\n",
      "2018-09-09 16:30:34,177 : INFO : 目前已處理 130000 篇文章\n",
      "2018-09-09 16:31:06,717 : INFO : 目前已處理 140000 篇文章\n",
      "2018-09-09 16:31:50,375 : INFO : 目前已處理 150000 篇文章\n",
      "2018-09-09 16:32:26,061 : INFO : 目前已處理 160000 篇文章\n",
      "2018-09-09 16:32:56,670 : INFO : 目前已處理 170000 篇文章\n",
      "2018-09-09 16:33:48,106 : INFO : 目前已處理 180000 篇文章\n",
      "2018-09-09 16:36:45,043 : INFO : 目前已處理 190000 篇文章\n",
      "2018-09-09 16:37:55,749 : INFO : 目前已處理 200000 篇文章\n",
      "2018-09-09 16:38:58,354 : INFO : 目前已處理 210000 篇文章\n",
      "2018-09-09 16:39:51,365 : INFO : 目前已處理 220000 篇文章\n",
      "2018-09-09 16:40:56,564 : INFO : 目前已處理 230000 篇文章\n",
      "2018-09-09 16:41:58,769 : INFO : 目前已處理 240000 篇文章\n",
      "2018-09-09 16:43:51,079 : INFO : 目前已處理 250000 篇文章\n",
      "2018-09-09 16:45:32,132 : INFO : 目前已處理 260000 篇文章\n",
      "2018-09-09 16:46:58,642 : INFO : 目前已處理 270000 篇文章\n",
      "2018-09-09 16:47:52,373 : INFO : 目前已處理 280000 篇文章\n",
      "2018-09-09 16:48:36,070 : INFO : 目前已處理 290000 篇文章\n",
      "2018-09-09 16:49:27,008 : INFO : 目前已處理 300000 篇文章\n",
      "2018-09-09 16:50:31,272 : INFO : 目前已處理 310000 篇文章\n",
      "2018-09-09 16:51:33,702 : INFO : 目前已處理 320000 篇文章\n",
      "2018-09-09 16:51:52,245 : INFO : finished iterating over Wikipedia corpus of 322803 documents with 73534912 positions (total 5507378 articles, 87235411 positions before pruning articles shorter than 50 words)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "轉檔完畢!\n"
     ]
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "__author__ = \"ALEX-CHUN-YU (P76064538@mail.ncku.edu.tw)\"\n",
    "import logging\n",
    "import sys\n",
    "import warnings\n",
    "warnings.filterwarnings(action ='ignore', category = UserWarning, module = 'gensim')\n",
    "from gensim.corpora import WikiCorpus\n",
    "\n",
    "# 將 wiki 資料集載下後進行 xml convert to txt \n",
    "class Wiki_to_txt(object):\n",
    "\n",
    "    def __init__(self):\n",
    "        # 用默認 Formatter 為日誌系統建立一個 StreamHandler ，設置基礎配置並加到 root logger 中\n",
    "        logging.basicConfig(format = '%(asctime)s : %(levelname)s : %(message)s', level = logging.INFO)\n",
    "\n",
    "    # 使用方法 https://radimrehurek.com/gensim/corpora/wikicorpus.html\n",
    "    def set_wiki_to_txt(self, wiki_data_path = None):\n",
    "        if wiki_data_path == None:\n",
    "            # 系統下參數\n",
    "            if len(sys.argv) != 2:\n",
    "                print(\"Please Usage: python3 \" + sys.argv[0] + \" wiki_data_path\")\n",
    "                exit()\n",
    "            else:\n",
    "                wiki_corpus = WikiCorpus(sys.argv[1], dictionary = {})\n",
    "        else:\n",
    "            wiki_corpus = WikiCorpus(wiki_data_path, dictionary = {})\n",
    "        # wiki.xml convert to wiki.txt\n",
    "        with open(\"wiki_text.txt\", 'w', encoding = 'utf-8') as output:\n",
    "            text_count = 0\n",
    "            for text in wiki_corpus.get_texts():\n",
    "                # save use string(gensim)\n",
    "                output.write(' '.join(text) + '\\n')\n",
    "                text_count += 1\n",
    "                if text_count % 10000 == 0:\n",
    "                    logging.info(\"目前已處理 %d 篇文章\" % text_count)\n",
    "            print(\"轉檔完畢!\")\n",
    "            \n",
    "if __name__ == \"__main__\":\n",
    "    wiki_to_txt = Wiki_to_txt()\n",
    "    # 將 wiki xml 轉換成 wiki txt\n",
    "    wiki_to_txt.set_wiki_to_txt(\"zhwiki-latest-pages-meta-current.xml.bz2\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 簡體轉繁體 -> 進行斷詞 -> 過濾[停用詞](https://github.com/Alex-CHUN-YU/Word2vec/blob/master/stopwords.txt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 16:57:25,915 : INFO : 等待中..(簡 to 繁)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "StopWord Set 已儲存!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 17:14:05,024 : INFO : 等待中..(jieba 斷詞，並過濾停用詞)\n",
      "Building prefix dict from the default dictionary ...\n",
      "2018-09-09 17:14:05,026 : DEBUG : Building prefix dict from the default dictionary ...\n",
      "Loading model from cache C:\\Users\\alex\\AppData\\Local\\Temp\\jieba.cache\n",
      "2018-09-09 17:14:05,039 : DEBUG : Loading model from cache C:\\Users\\alex\\AppData\\Local\\Temp\\jieba.cache\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "成功簡體轉繁體!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading model cost 0.717 seconds.\n",
      "2018-09-09 17:14:05,743 : DEBUG : Loading model cost 0.717 seconds.\n",
      "Prefix dict has been built succesfully.\n",
      "2018-09-09 17:14:05,744 : DEBUG : Prefix dict has been built succesfully.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "jieba 斷詞完畢，並已完成過濾停用詞!\n"
     ]
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "__author__ = \"ALEX-CHUN-YU (P76064538@mail.ncku.edu.tw)\"\n",
    "import jieba\n",
    "import logging\n",
    "from hanziconv import HanziConv\n",
    "\n",
    "# 進行斷詞並過濾 stopword\n",
    "class Segmentation(object):\n",
    "\n",
    "    def __init__(self):\n",
    "        # 用默認 Formatter 為日誌系統建立一個 StreamHandler ，設置基礎配置並加到 root logger 中\n",
    "        logging.basicConfig(format = \"%(asctime)s : %(levelname)s : %(message)s\", level = logging.INFO)\n",
    "        self.stopwordset = set()\n",
    "        \n",
    "    # 讀取 stopword 辭典，並存到 stopwordset\n",
    "    def set_stopword(self):\n",
    "        with open(\"stopwords.txt\", \"r\", encoding = \"utf-8\") as stopwords:\n",
    "            for stopword in stopwords:\n",
    "                self.stopwordset.add(stopword.strip('\\n'))\n",
    "        #print(self.stopwordset)\n",
    "        print(\"StopWord Set 已儲存!\")\n",
    "\n",
    "    # 簡 to 繁\n",
    "    def simplified_to_traditional(self):\n",
    "        logging.info(\"等待中..(簡 to 繁)\")\n",
    "        traditional = open(\"traditional.txt\", \"w\", encoding = \"utf-8\")\n",
    "        with open(\"wiki_text.txt\", \"r\", encoding = \"utf-8\") as simplified:\n",
    "            for s in simplified:\n",
    "                traditional.write(HanziConv.toTraditional(s))\n",
    "        print(\"成功簡體轉繁體!\")\n",
    "        traditional.close()\n",
    "\n",
    "    # 斷詞(Segmentation)並過濾掉停用詞(Stop Word)\n",
    "    def segmentation(self):\n",
    "        logging.info(\"等待中..(jieba 斷詞，並過濾停用詞)\")\n",
    "        segmentation = open(\"segmentation.txt\", \"w\", encoding = \"utf-8\")\n",
    "        with open(\"traditional.txt\", \"r\", encoding = \"utf-8\") as Corpus:\n",
    "            for sentence in Corpus:\n",
    "                sentence = sentence.strip(\"\\n\")\n",
    "                pos = jieba.cut(sentence, cut_all = False)\n",
    "                for term in pos:\n",
    "                    if term not in self.stopwordset:\n",
    "                        segmentation.write(term + \" \")\n",
    "        print(\"jieba 斷詞完畢，並已完成過濾停用詞!\")\n",
    "        segmentation.close()\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    segmentation = Segmentation()\n",
    "    # 讀取停用詞辭典\n",
    "    segmentation.set_stopword()\n",
    "    # data 進行簡體轉繁體\n",
    "    segmentation.simplified_to_traditional()\n",
    "    # 進行 jieba 斷詞同步過濾停用詞，並產生辭典\n",
    "    segmentation.segmentation()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 透過 Gensim Word2Vec 來進行訓練(這邊使用 Skip-gram 模型，Dimension 設為 300 維度)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:13:54,072 : INFO : collecting all words and their counts\n",
      "2018-09-09 18:13:54,076 : INFO : PROGRESS: at sentence #0, processed 0 words, keeping 0 word types\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "訓練中...(喝個咖啡吧^0^)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:14:26,653 : INFO : PROGRESS: at sentence #10000, processed 100000000 words, keeping 3909684 word types\n",
      "2018-09-09 18:14:48,566 : INFO : collected 5457654 word types from a corpus of 171163178 raw words and 17117 sentences\n",
      "2018-09-09 18:14:48,566 : INFO : Loading a fresh vocabulary\n",
      "2018-09-09 18:14:53,131 : INFO : effective_min_count=5 retains 1020890 unique words (18% of original 5457654, drops 4436764)\n",
      "2018-09-09 18:14:53,131 : INFO : effective_min_count=5 leaves 164617681 word corpus (96% of original 171163178, drops 6545497)\n",
      "2018-09-09 18:14:55,334 : INFO : deleting the raw counts dictionary of 5457654 items\n",
      "2018-09-09 18:14:55,648 : INFO : sample=0.001 downsamples 16 most-common words\n",
      "2018-09-09 18:14:55,649 : INFO : downsampling leaves estimated 161870805 word corpus (98.3% of prior 164617681)\n",
      "2018-09-09 18:14:58,822 : INFO : estimated required memory for 1020890 words and 300 dimensions: 2960581000 bytes\n",
      "2018-09-09 18:14:58,822 : INFO : resetting layer weights\n",
      "2018-09-09 18:15:09,746 : INFO : training model with 4 workers on 1020890 vocabulary and 300 features, using sg=1 hs=0 sample=0.001 negative=5 window=10\n",
      "2018-09-09 18:15:10,832 : INFO : EPOCH 1 - PROGRESS: at 0.05% examples, 80643 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:16:18,034 : INFO : EPOCH 1 - PROGRESS: at 5.13% examples, 121335 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:18:54,938 : INFO : EPOCH 1 - PROGRESS: at 16.99% examples, 121875 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:21:30,634 : INFO : EPOCH 1 - PROGRESS: at 28.50% examples, 120897 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:24:05,898 : INFO : EPOCH 1 - PROGRESS: at 39.67% examples, 119576 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:25:24,214 : INFO : EPOCH 1 - PROGRESS: at 45.59% examples, 119921 words/s, in_qsize 6, out_qsize 1\n",
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      "2018-09-09 18:26:42,079 : INFO : EPOCH 1 - PROGRESS: at 51.37% examples, 119950 words/s, in_qsize 8, out_qsize 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:26:43,083 : INFO : EPOCH 1 - PROGRESS: at 51.45% examples, 119952 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:29:18,032 : INFO : EPOCH 1 - PROGRESS: at 62.84% examples, 119782 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:31:54,431 : INFO : EPOCH 1 - PROGRESS: at 74.93% examples, 120626 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:33:12,523 : INFO : EPOCH 1 - PROGRESS: at 80.80% examples, 120741 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:34:29,951 : INFO : EPOCH 1 - PROGRESS: at 86.66% examples, 120869 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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      "2018-09-09 18:36:31,997 : INFO : EPOCH 1 - PROGRESS: at 95.83% examples, 120983 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 18:36:34,143 : INFO : EPOCH 1 - PROGRESS: at 95.99% examples, 120987 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:36:35,155 : INFO : EPOCH 1 - PROGRESS: at 96.07% examples, 120995 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:36:36,279 : INFO : EPOCH 1 - PROGRESS: at 96.16% examples, 120992 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:36:37,292 : INFO : EPOCH 1 - PROGRESS: at 96.23% examples, 120993 words/s, in_qsize 7, out_qsize 1\n",
      "2018-09-09 18:36:38,353 : INFO : EPOCH 1 - PROGRESS: at 96.32% examples, 121004 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:36:39,360 : INFO : EPOCH 1 - PROGRESS: at 96.40% examples, 121005 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:36:40,387 : INFO : EPOCH 1 - PROGRESS: at 96.47% examples, 121005 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:36:41,391 : INFO : EPOCH 1 - PROGRESS: at 96.55% examples, 121014 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:36:42,401 : INFO : EPOCH 1 - PROGRESS: at 96.63% examples, 121014 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:36:43,460 : INFO : EPOCH 1 - PROGRESS: at 96.71% examples, 121011 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:36:44,467 : INFO : EPOCH 1 - PROGRESS: at 96.79% examples, 121020 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:36:45,542 : INFO : EPOCH 1 - PROGRESS: at 96.87% examples, 121024 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:36:46,720 : INFO : EPOCH 1 - PROGRESS: at 96.96% examples, 121030 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:36:47,931 : INFO : EPOCH 1 - PROGRESS: at 97.06% examples, 121033 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:36:49,155 : INFO : EPOCH 1 - PROGRESS: at 97.15% examples, 121036 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:36:50,160 : INFO : EPOCH 1 - PROGRESS: at 97.24% examples, 121051 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:36:51,303 : INFO : EPOCH 1 - PROGRESS: at 97.31% examples, 121040 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:36:52,405 : INFO : EPOCH 1 - PROGRESS: at 97.41% examples, 121055 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:36:53,567 : INFO : EPOCH 1 - PROGRESS: at 97.50% examples, 121064 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:36:54,579 : INFO : EPOCH 1 - PROGRESS: at 97.58% examples, 121071 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:36:55,677 : INFO : EPOCH 1 - PROGRESS: at 97.66% examples, 121070 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:36:56,700 : INFO : EPOCH 1 - PROGRESS: at 97.74% examples, 121069 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:36:57,819 : INFO : EPOCH 1 - PROGRESS: at 97.83% examples, 121074 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:36:58,860 : INFO : EPOCH 1 - PROGRESS: at 97.90% examples, 121072 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:36:59,861 : INFO : EPOCH 1 - PROGRESS: at 97.98% examples, 121080 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:00,904 : INFO : EPOCH 1 - PROGRESS: at 98.06% examples, 121078 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:01,927 : INFO : EPOCH 1 - PROGRESS: at 98.14% examples, 121077 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:03,042 : INFO : EPOCH 1 - PROGRESS: at 98.22% examples, 121083 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:04,084 : INFO : EPOCH 1 - PROGRESS: at 98.30% examples, 121080 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:05,182 : INFO : EPOCH 1 - PROGRESS: at 98.39% examples, 121087 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:06,268 : INFO : EPOCH 1 - PROGRESS: at 98.46% examples, 121080 words/s, in_qsize 7, out_qsize 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:37:07,293 : INFO : EPOCH 1 - PROGRESS: at 98.55% examples, 121093 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:08,392 : INFO : EPOCH 1 - PROGRESS: at 98.63% examples, 121085 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:09,445 : INFO : EPOCH 1 - PROGRESS: at 98.71% examples, 121096 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 18:37:11,612 : INFO : EPOCH 1 - PROGRESS: at 98.88% examples, 121095 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 18:37:13,758 : INFO : EPOCH 1 - PROGRESS: at 99.05% examples, 121109 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:14,811 : INFO : EPOCH 1 - PROGRESS: at 99.14% examples, 121122 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:15,828 : INFO : EPOCH 1 - PROGRESS: at 99.22% examples, 121121 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:16,829 : INFO : EPOCH 1 - PROGRESS: at 99.30% examples, 121129 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:17,884 : INFO : EPOCH 1 - PROGRESS: at 99.37% examples, 121125 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:18,920 : INFO : EPOCH 1 - PROGRESS: at 99.46% examples, 121131 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:20,015 : INFO : EPOCH 1 - PROGRESS: at 99.54% examples, 121130 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:21,041 : INFO : EPOCH 1 - PROGRESS: at 99.61% examples, 121129 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:22,144 : INFO : EPOCH 1 - PROGRESS: at 99.70% examples, 121135 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:23,229 : INFO : EPOCH 1 - PROGRESS: at 99.78% examples, 121129 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:24,264 : INFO : EPOCH 1 - PROGRESS: at 99.87% examples, 121139 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:25,353 : INFO : EPOCH 1 - PROGRESS: at 99.94% examples, 121132 words/s, in_qsize 8, out_qsize 1\n",
      "2018-09-09 18:37:25,757 : INFO : worker thread finished; awaiting finish of 3 more threads\n",
      "2018-09-09 18:37:25,771 : INFO : worker thread finished; awaiting finish of 2 more threads\n",
      "2018-09-09 18:37:25,915 : INFO : worker thread finished; awaiting finish of 1 more threads\n",
      "2018-09-09 18:37:25,927 : INFO : worker thread finished; awaiting finish of 0 more threads\n",
      "2018-09-09 18:37:25,928 : INFO : EPOCH - 1 : training on 171163178 raw words (161870586 effective words) took 1336.2s, 121146 effective words/s\n",
      "2018-09-09 18:37:26,933 : INFO : EPOCH 2 - PROGRESS: at 0.07% examples, 114264 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:28,110 : INFO : EPOCH 2 - PROGRESS: at 0.15% examples, 109692 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:29,111 : INFO : EPOCH 2 - PROGRESS: at 0.23% examples, 120211 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:30,272 : INFO : EPOCH 2 - PROGRESS: at 0.31% examples, 116175 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:31,286 : INFO : EPOCH 2 - PROGRESS: at 0.40% examples, 120875 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:32,416 : INFO : EPOCH 2 - PROGRESS: at 0.47% examples, 118849 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:33,445 : INFO : EPOCH 2 - PROGRESS: at 0.56% examples, 121507 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:34,574 : INFO : EPOCH 2 - PROGRESS: at 0.64% examples, 119860 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:35,629 : INFO : EPOCH 2 - PROGRESS: at 0.72% examples, 121544 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:36,703 : INFO : EPOCH 2 - PROGRESS: at 0.80% examples, 120811 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:37,724 : INFO : EPOCH 2 - PROGRESS: at 0.88% examples, 121529 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:38,858 : INFO : EPOCH 2 - PROGRESS: at 0.96% examples, 121137 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:39,918 : INFO : EPOCH 2 - PROGRESS: at 1.05% examples, 121439 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:40,976 : INFO : EPOCH 2 - PROGRESS: at 1.13% examples, 121660 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:42,032 : INFO : EPOCH 2 - PROGRESS: at 1.21% examples, 121956 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:43,128 : INFO : EPOCH 2 - PROGRESS: at 1.29% examples, 121916 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:44,164 : INFO : EPOCH 2 - PROGRESS: at 1.37% examples, 121688 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:45,267 : INFO : EPOCH 2 - PROGRESS: at 1.45% examples, 122062 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:46,331 : INFO : EPOCH 2 - PROGRESS: at 1.53% examples, 121689 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:47,449 : INFO : EPOCH 2 - PROGRESS: at 1.62% examples, 121946 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:48,480 : INFO : EPOCH 2 - PROGRESS: at 1.69% examples, 121813 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:49,605 : INFO : EPOCH 2 - PROGRESS: at 1.78% examples, 121973 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:50,608 : INFO : EPOCH 2 - PROGRESS: at 1.86% examples, 121929 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:51,613 : INFO : EPOCH 2 - PROGRESS: at 1.93% examples, 121981 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:52,614 : INFO : EPOCH 2 - PROGRESS: at 2.01% examples, 122029 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:53,682 : INFO : EPOCH 2 - PROGRESS: at 2.09% examples, 121734 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:54,733 : INFO : EPOCH 2 - PROGRESS: at 2.17% examples, 121848 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:55,874 : INFO : EPOCH 2 - PROGRESS: at 2.25% examples, 121610 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:37:56,884 : INFO : EPOCH 2 - PROGRESS: at 2.33% examples, 121910 words/s, in_qsize 7, out_qsize 1\n",
      "2018-09-09 18:37:58,048 : INFO : EPOCH 2 - PROGRESS: at 2.41% examples, 121625 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:37:59,079 : INFO : EPOCH 2 - PROGRESS: at 2.49% examples, 121817 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:38:00,191 : INFO : EPOCH 2 - PROGRESS: at 2.58% examples, 121698 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:01,247 : INFO : EPOCH 2 - PROGRESS: at 2.66% examples, 121695 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:02,255 : INFO : EPOCH 2 - PROGRESS: at 2.74% examples, 121925 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:03,369 : INFO : EPOCH 2 - PROGRESS: at 2.82% examples, 121587 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:38:04,406 : INFO : EPOCH 2 - PROGRESS: at 2.90% examples, 121756 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:38:05,436 : INFO : EPOCH 2 - PROGRESS: at 2.97% examples, 121674 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:38:06,462 : INFO : EPOCH 2 - PROGRESS: at 3.06% examples, 121858 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:07,477 : INFO : EPOCH 2 - PROGRESS: at 3.13% examples, 121823 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:08,529 : INFO : EPOCH 2 - PROGRESS: at 3.21% examples, 121712 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:09,613 : INFO : EPOCH 2 - PROGRESS: at 3.29% examples, 121718 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:10,687 : INFO : EPOCH 2 - PROGRESS: at 3.37% examples, 121756 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:11,691 : INFO : EPOCH 2 - PROGRESS: at 3.45% examples, 121770 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:12,732 : INFO : EPOCH 2 - PROGRESS: at 3.53% examples, 121851 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:13,749 : INFO : EPOCH 2 - PROGRESS: at 3.60% examples, 121805 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:14,767 : INFO : EPOCH 2 - PROGRESS: at 3.68% examples, 121787 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:15,795 : INFO : EPOCH 2 - PROGRESS: at 3.76% examples, 121925 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:38:16,905 : INFO : EPOCH 2 - PROGRESS: at 3.84% examples, 121857 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:17,933 : INFO : EPOCH 2 - PROGRESS: at 3.93% examples, 121954 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:19,010 : INFO : EPOCH 2 - PROGRESS: at 4.01% examples, 121975 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:20,053 : INFO : EPOCH 2 - PROGRESS: at 4.09% examples, 122062 words/s, in_qsize 8, out_qsize 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:38:21,131 : INFO : EPOCH 2 - PROGRESS: at 4.17% examples, 122065 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:22,176 : INFO : EPOCH 2 - PROGRESS: at 4.25% examples, 122146 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:23,285 : INFO : EPOCH 2 - PROGRESS: at 4.33% examples, 122088 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 18:38:25,339 : INFO : EPOCH 2 - PROGRESS: at 4.49% examples, 122141 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:26,408 : INFO : EPOCH 2 - PROGRESS: at 4.58% examples, 122316 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 18:38:28,464 : INFO : EPOCH 2 - PROGRESS: at 4.74% examples, 122358 words/s, in_qsize 7, out_qsize 0\n",
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      "2018-09-09 18:38:34,920 : INFO : EPOCH 2 - PROGRESS: at 5.23% examples, 122401 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:38:36,067 : INFO : EPOCH 2 - PROGRESS: at 5.31% examples, 122281 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:38:37,105 : INFO : EPOCH 2 - PROGRESS: at 5.40% examples, 122496 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:38,200 : INFO : EPOCH 2 - PROGRESS: at 5.47% examples, 122330 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:38:39,215 : INFO : EPOCH 2 - PROGRESS: at 5.56% examples, 122575 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:40,361 : INFO : EPOCH 2 - PROGRESS: at 5.64% examples, 122343 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 18:38:42,835 : INFO : EPOCH 2 - PROGRESS: at 5.82% examples, 122340 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:44,065 : INFO : EPOCH 2 - PROGRESS: at 5.92% examples, 122341 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:38:45,284 : INFO : EPOCH 2 - PROGRESS: at 6.01% examples, 122363 words/s, in_qsize 6, out_qsize 1\n",
      "2018-09-09 18:38:46,476 : INFO : EPOCH 2 - PROGRESS: at 6.11% examples, 122422 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:38:47,476 : INFO : EPOCH 2 - PROGRESS: at 6.19% examples, 122540 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:48,618 : INFO : EPOCH 2 - PROGRESS: at 6.27% examples, 122453 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:38:49,658 : INFO : EPOCH 2 - PROGRESS: at 6.36% examples, 122627 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 18:38:51,764 : INFO : EPOCH 2 - PROGRESS: at 6.51% examples, 122599 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:52,887 : INFO : EPOCH 2 - PROGRESS: at 6.60% examples, 122533 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:38:53,902 : INFO : EPOCH 2 - PROGRESS: at 6.68% examples, 122631 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:55,030 : INFO : EPOCH 2 - PROGRESS: at 6.76% examples, 122557 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 18:38:57,152 : INFO : EPOCH 2 - PROGRESS: at 6.92% examples, 122598 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:38:58,154 : INFO : EPOCH 2 - PROGRESS: at 7.00% examples, 122597 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:38:59,299 : INFO : EPOCH 2 - PROGRESS: at 7.09% examples, 122609 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:39:00,340 : INFO : EPOCH 2 - PROGRESS: at 7.17% examples, 122661 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:39:01,450 : INFO : EPOCH 2 - PROGRESS: at 7.25% examples, 122618 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:39:40,160 : INFO : EPOCH 2 - PROGRESS: at 10.22% examples, 122892 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:40:57,196 : INFO : EPOCH 2 - PROGRESS: at 16.09% examples, 123021 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:42:15,127 : INFO : EPOCH 2 - PROGRESS: at 22.05% examples, 123142 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:43:33,107 : INFO : EPOCH 2 - PROGRESS: at 28.01% examples, 123239 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:44:50,755 : INFO : EPOCH 2 - PROGRESS: at 33.94% examples, 123271 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:46:07,854 : INFO : EPOCH 2 - PROGRESS: at 39.87% examples, 123464 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 18:47:23,645 : INFO : EPOCH 2 - PROGRESS: at 45.68% examples, 123517 words/s, in_qsize 7, out_qsize 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:47:24,758 : INFO : EPOCH 2 - PROGRESS: at 45.77% examples, 123526 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:48:41,908 : INFO : EPOCH 2 - PROGRESS: at 51.66% examples, 123553 words/s, in_qsize 7, out_qsize 0\n",
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      "2018-09-09 18:49:57,593 : INFO : EPOCH 2 - PROGRESS: at 57.46% examples, 123615 words/s, in_qsize 7, out_qsize 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:49:58,621 : INFO : EPOCH 2 - PROGRESS: at 57.57% examples, 123668 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:49:59,671 : INFO : EPOCH 2 - PROGRESS: at 57.67% examples, 123718 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:51:15,034 : INFO : EPOCH 2 - PROGRESS: at 63.52% examples, 123890 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 18:52:31,259 : INFO : EPOCH 2 - PROGRESS: at 69.39% examples, 123963 words/s, in_qsize 7, out_qsize 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:52:32,263 : INFO : EPOCH 2 - PROGRESS: at 69.49% examples, 123990 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:53:50,661 : INFO : EPOCH 2 - PROGRESS: at 75.63% examples, 124234 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:55:08,512 : INFO : EPOCH 2 - PROGRESS: at 81.64% examples, 124316 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:56:26,305 : INFO : EPOCH 2 - PROGRESS: at 87.65% examples, 124383 words/s, in_qsize 7, out_qsize 0\n",
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      "2018-09-09 18:56:46,524 : INFO : EPOCH 2 - PROGRESS: at 89.20% examples, 124393 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:56:47,557 : INFO : EPOCH 2 - PROGRESS: at 89.29% examples, 124405 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:56:48,651 : INFO : EPOCH 2 - PROGRESS: at 89.37% examples, 124394 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 18:56:50,760 : INFO : EPOCH 2 - PROGRESS: at 89.53% examples, 124397 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:56:51,809 : INFO : EPOCH 2 - PROGRESS: at 89.62% examples, 124407 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:56:52,867 : INFO : EPOCH 2 - PROGRESS: at 89.69% examples, 124400 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:56:53,887 : INFO : EPOCH 2 - PROGRESS: at 89.77% examples, 124397 words/s, in_qsize 6, out_qsize 1\n",
      "2018-09-09 18:56:54,987 : INFO : EPOCH 2 - PROGRESS: at 89.86% examples, 124402 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 18:56:58,137 : INFO : EPOCH 2 - PROGRESS: at 90.10% examples, 124401 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:56:59,227 : INFO : EPOCH 2 - PROGRESS: at 90.19% examples, 124407 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:00,249 : INFO : EPOCH 2 - PROGRESS: at 90.26% examples, 124404 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 18:57:03,423 : INFO : EPOCH 2 - PROGRESS: at 90.51% examples, 124415 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 18:57:08,700 : INFO : EPOCH 2 - PROGRESS: at 90.92% examples, 124421 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:09,778 : INFO : EPOCH 2 - PROGRESS: at 91.00% examples, 124420 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:10,825 : INFO : EPOCH 2 - PROGRESS: at 91.08% examples, 124424 words/s, in_qsize 7, out_qsize 0\n",
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      "2018-09-09 18:57:12,907 : INFO : EPOCH 2 - PROGRESS: at 91.24% examples, 124423 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:14,045 : INFO : EPOCH 2 - PROGRESS: at 91.33% examples, 124424 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:15,101 : INFO : EPOCH 2 - PROGRESS: at 91.41% examples, 124425 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:16,179 : INFO : EPOCH 2 - PROGRESS: at 91.49% examples, 124424 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:17,225 : INFO : EPOCH 2 - PROGRESS: at 91.58% examples, 124427 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:18,324 : INFO : EPOCH 2 - PROGRESS: at 91.66% examples, 124423 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:19,351 : INFO : EPOCH 2 - PROGRESS: at 91.74% examples, 124428 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:20,452 : INFO : EPOCH 2 - PROGRESS: at 91.82% examples, 124425 words/s, in_qsize 7, out_qsize 0\n",
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      "2018-09-09 18:57:22,511 : INFO : EPOCH 2 - PROGRESS: at 91.98% examples, 124425 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:23,523 : INFO : EPOCH 2 - PROGRESS: at 92.06% examples, 124431 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:24,536 : INFO : EPOCH 2 - PROGRESS: at 92.14% examples, 124429 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:25,585 : INFO : EPOCH 2 - PROGRESS: at 92.22% examples, 124431 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:26,626 : INFO : EPOCH 2 - PROGRESS: at 92.30% examples, 124434 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:27,640 : INFO : EPOCH 2 - PROGRESS: at 92.38% examples, 124432 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:28,658 : INFO : EPOCH 2 - PROGRESS: at 92.45% examples, 124428 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:29,784 : INFO : EPOCH 2 - PROGRESS: at 92.54% examples, 124430 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:30,790 : INFO : EPOCH 2 - PROGRESS: at 92.62% examples, 124427 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:31,919 : INFO : EPOCH 2 - PROGRESS: at 92.70% examples, 124429 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:32,923 : INFO : EPOCH 2 - PROGRESS: at 92.78% examples, 124428 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:34,055 : INFO : EPOCH 2 - PROGRESS: at 92.87% examples, 124430 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:35,060 : INFO : EPOCH 2 - PROGRESS: at 92.94% examples, 124428 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:36,196 : INFO : EPOCH 2 - PROGRESS: at 93.03% examples, 124429 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:37,217 : INFO : EPOCH 2 - PROGRESS: at 93.11% examples, 124426 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:38,364 : INFO : EPOCH 2 - PROGRESS: at 93.19% examples, 124426 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:39,382 : INFO : EPOCH 2 - PROGRESS: at 93.28% examples, 124430 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:40,519 : INFO : EPOCH 2 - PROGRESS: at 93.36% examples, 124423 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:41,528 : INFO : EPOCH 2 - PROGRESS: at 93.44% examples, 124429 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:42,640 : INFO : EPOCH 2 - PROGRESS: at 93.52% examples, 124424 words/s, in_qsize 8, out_qsize 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:57:43,660 : INFO : EPOCH 2 - PROGRESS: at 93.61% examples, 124436 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:44,759 : INFO : EPOCH 2 - PROGRESS: at 93.68% examples, 124426 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:45,771 : INFO : EPOCH 2 - PROGRESS: at 93.77% examples, 124431 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:46,872 : INFO : EPOCH 2 - PROGRESS: at 93.85% examples, 124427 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:47,892 : INFO : EPOCH 2 - PROGRESS: at 93.93% examples, 124431 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:48,984 : INFO : EPOCH 2 - PROGRESS: at 94.01% examples, 124428 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:49,987 : INFO : EPOCH 2 - PROGRESS: at 94.09% examples, 124427 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:51,099 : INFO : EPOCH 2 - PROGRESS: at 94.18% examples, 124430 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:52,119 : INFO : EPOCH 2 - PROGRESS: at 94.25% examples, 124427 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:53,248 : INFO : EPOCH 2 - PROGRESS: at 94.34% examples, 124428 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:57:54,257 : INFO : EPOCH 2 - PROGRESS: at 94.42% examples, 124434 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:55,368 : INFO : EPOCH 2 - PROGRESS: at 94.50% examples, 124430 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 18:57:58,531 : INFO : EPOCH 2 - PROGRESS: at 94.75% examples, 124441 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:57:59,634 : INFO : EPOCH 2 - PROGRESS: at 94.83% examples, 124430 words/s, in_qsize 7, out_qsize 0\n",
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      "2018-09-09 18:58:01,765 : INFO : EPOCH 2 - PROGRESS: at 94.99% examples, 124430 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:58:02,780 : INFO : EPOCH 2 - PROGRESS: at 95.08% examples, 124443 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 18:58:37,773 : INFO : EPOCH 2 - PROGRESS: at 97.80% examples, 124484 words/s, in_qsize 7, out_qsize 0\n",
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      "2018-09-09 18:58:39,915 : INFO : EPOCH 2 - PROGRESS: at 97.96% examples, 124483 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:58:40,921 : INFO : EPOCH 2 - PROGRESS: at 98.04% examples, 124481 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 18:58:43,071 : INFO : EPOCH 2 - PROGRESS: at 98.20% examples, 124480 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:58:44,180 : INFO : EPOCH 2 - PROGRESS: at 98.29% examples, 124483 words/s, in_qsize 7, out_qsize 0\n",
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      "2018-09-09 18:58:48,388 : INFO : EPOCH 2 - PROGRESS: at 98.62% examples, 124485 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:58:49,465 : INFO : EPOCH 2 - PROGRESS: at 98.70% examples, 124484 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:58:50,500 : INFO : EPOCH 2 - PROGRESS: at 98.78% examples, 124487 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:58:51,510 : INFO : EPOCH 2 - PROGRESS: at 98.85% examples, 124482 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:58:52,629 : INFO : EPOCH 2 - PROGRESS: at 98.94% examples, 124483 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:58:53,690 : INFO : EPOCH 2 - PROGRESS: at 99.04% examples, 124496 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:58:54,800 : INFO : EPOCH 2 - PROGRESS: at 99.13% examples, 124507 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:58:55,831 : INFO : EPOCH 2 - PROGRESS: at 99.21% examples, 124503 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:58:56,927 : INFO : EPOCH 2 - PROGRESS: at 99.29% examples, 124506 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:58:57,952 : INFO : EPOCH 2 - PROGRESS: at 99.37% examples, 124503 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:58:59,074 : INFO : EPOCH 2 - PROGRESS: at 99.46% examples, 124504 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:59:00,093 : INFO : EPOCH 2 - PROGRESS: at 99.54% examples, 124508 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:59:01,179 : INFO : EPOCH 2 - PROGRESS: at 99.62% examples, 124505 words/s, in_qsize 8, out_qsize 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 18:59:02,200 : INFO : EPOCH 2 - PROGRESS: at 99.70% examples, 124503 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 18:59:03,336 : INFO : EPOCH 2 - PROGRESS: at 99.78% examples, 124503 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:59:04,369 : INFO : EPOCH 2 - PROGRESS: at 99.87% examples, 124512 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:59:05,419 : INFO : EPOCH 2 - PROGRESS: at 99.95% examples, 124505 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:59:05,799 : INFO : worker thread finished; awaiting finish of 3 more threads\n",
      "2018-09-09 18:59:05,840 : INFO : worker thread finished; awaiting finish of 2 more threads\n",
      "2018-09-09 18:59:05,861 : INFO : worker thread finished; awaiting finish of 1 more threads\n",
      "2018-09-09 18:59:05,977 : INFO : worker thread finished; awaiting finish of 0 more threads\n",
      "2018-09-09 18:59:05,978 : INFO : EPOCH - 2 : training on 171163178 raw words (161871346 effective words) took 1300.0s, 124512 effective words/s\n",
      "2018-09-09 18:59:07,217 : INFO : EPOCH 3 - PROGRESS: at 0.08% examples, 100370 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:59:08,465 : INFO : EPOCH 3 - PROGRESS: at 0.17% examples, 111725 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 18:59:09,712 : INFO : EPOCH 3 - PROGRESS: at 0.26% examples, 115028 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 19:00:16,954 : INFO : EPOCH 3 - PROGRESS: at 5.43% examples, 123632 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 19:02:54,231 : INFO : EPOCH 3 - PROGRESS: at 17.50% examples, 123849 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 19:05:32,185 : INFO : EPOCH 3 - PROGRESS: at 29.63% examples, 123953 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "2018-09-09 19:06:49,245 : INFO : EPOCH 3 - PROGRESS: at 35.56% examples, 124036 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 19:06:50,267 : INFO : EPOCH 3 - PROGRESS: at 35.64% examples, 124049 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 19:08:06,224 : INFO : EPOCH 3 - PROGRESS: at 41.52% examples, 124210 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "2018-09-09 19:09:24,718 : INFO : EPOCH 3 - PROGRESS: at 47.55% examples, 124205 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 19:10:43,838 : INFO : EPOCH 3 - PROGRESS: at 53.62% examples, 124230 words/s, in_qsize 7, out_qsize 0\n",
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     ]
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     "output_type": "stream",
     "text": [
      "2018-09-09 19:33:13,674 : INFO : EPOCH 3 - PROGRESS: at 59.57% examples, 47029 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
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     "output_type": "stream",
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     ]
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     "output_type": "stream",
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     ]
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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     ]
    },
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      "2018-09-09 19:40:57,899 : INFO : EPOCH 3 - PROGRESS: at 93.46% examples, 60228 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 19:40:58,937 : INFO : EPOCH 3 - PROGRESS: at 93.54% examples, 60252 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 19:41:00,035 : INFO : EPOCH 3 - PROGRESS: at 93.62% examples, 60278 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 19:41:01,042 : INFO : EPOCH 3 - PROGRESS: at 93.70% examples, 60307 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 19:41:02,049 : INFO : EPOCH 3 - PROGRESS: at 93.78% examples, 60331 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 19:41:03,051 : INFO : EPOCH 3 - PROGRESS: at 93.85% examples, 60356 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 19:41:04,094 : INFO : EPOCH 3 - PROGRESS: at 93.94% examples, 60384 words/s, in_qsize 8, out_qsize 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 19:41:05,210 : INFO : EPOCH 3 - PROGRESS: at 94.02% examples, 60409 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 19:41:06,238 : INFO : EPOCH 3 - PROGRESS: at 94.10% examples, 60438 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 19:42:23,957 : INFO : EPOCH 3 - PROGRESS: at 99.77% examples, 62166 words/s, in_qsize 7, out_qsize 0\n",
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      "2018-09-09 19:42:26,672 : INFO : worker thread finished; awaiting finish of 3 more threads\n",
      "2018-09-09 19:42:26,749 : INFO : worker thread finished; awaiting finish of 2 more threads\n",
      "2018-09-09 19:42:26,770 : INFO : worker thread finished; awaiting finish of 1 more threads\n",
      "2018-09-09 19:42:26,811 : INFO : worker thread finished; awaiting finish of 0 more threads\n",
      "2018-09-09 19:42:26,812 : INFO : EPOCH - 3 : training on 171163178 raw words (161870538 effective words) took 2600.9s, 62236 effective words/s\n",
      "2018-09-09 19:42:27,819 : INFO : EPOCH 4 - PROGRESS: at 0.07% examples, 113997 words/s, in_qsize 6, out_qsize 0\n",
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      "2018-09-09 19:43:08,468 : INFO : EPOCH 4 - PROGRESS: at 3.07% examples, 119250 words/s, in_qsize 7, out_qsize 0\n",
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      "2018-09-09 19:43:23,128 : INFO : EPOCH 4 - PROGRESS: at 4.18% examples, 119821 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 19:43:24,167 : INFO : EPOCH 4 - PROGRESS: at 4.26% examples, 119955 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 19:43:25,261 : INFO : EPOCH 4 - PROGRESS: at 4.34% examples, 119972 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 19:43:39,131 : INFO : EPOCH 4 - PROGRESS: at 5.34% examples, 119254 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 19:46:15,862 : INFO : EPOCH 4 - PROGRESS: at 16.58% examples, 116938 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 19:48:50,109 : INFO : EPOCH 4 - PROGRESS: at 27.97% examples, 117910 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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      "2018-09-09 19:51:24,830 : INFO : EPOCH 4 - PROGRESS: at 39.29% examples, 118017 words/s, in_qsize 7, out_qsize 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 19:51:25,888 : INFO : EPOCH 4 - PROGRESS: at 39.36% examples, 118017 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 19:52:44,652 : INFO : EPOCH 4 - PROGRESS: at 45.15% examples, 118115 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 19:54:02,254 : INFO : EPOCH 4 - PROGRESS: at 50.86% examples, 118212 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 19:56:38,831 : INFO : EPOCH 4 - PROGRESS: at 62.49% examples, 118602 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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      "2018-09-09 19:59:15,117 : INFO : EPOCH 4 - PROGRESS: at 74.14% examples, 118920 words/s, in_qsize 8, out_qsize 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 19:59:16,161 : INFO : EPOCH 4 - PROGRESS: at 74.22% examples, 118929 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 20:00:33,364 : INFO : EPOCH 4 - PROGRESS: at 79.88% examples, 118935 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 20:01:51,295 : INFO : EPOCH 4 - PROGRESS: at 85.64% examples, 119005 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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      "2018-09-09 20:03:57,231 : INFO : EPOCH 4 - PROGRESS: at 94.88% examples, 119025 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:03:58,252 : INFO : EPOCH 4 - PROGRESS: at 94.96% examples, 119027 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:03:59,311 : INFO : EPOCH 4 - PROGRESS: at 95.04% examples, 119032 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:00,362 : INFO : EPOCH 4 - PROGRESS: at 95.12% examples, 119038 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:04:01,512 : INFO : EPOCH 4 - PROGRESS: at 95.20% examples, 119034 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:04:02,549 : INFO : EPOCH 4 - PROGRESS: at 95.29% examples, 119048 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:04:03,653 : INFO : EPOCH 4 - PROGRESS: at 95.37% examples, 119041 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:04,739 : INFO : EPOCH 4 - PROGRESS: at 95.45% examples, 119051 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:05,809 : INFO : EPOCH 4 - PROGRESS: at 95.53% examples, 119047 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:06,873 : INFO : EPOCH 4 - PROGRESS: at 95.62% examples, 119060 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:07,936 : INFO : EPOCH 4 - PROGRESS: at 95.69% examples, 119058 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:08,966 : INFO : EPOCH 4 - PROGRESS: at 95.78% examples, 119065 words/s, in_qsize 7, out_qsize 0\n",
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      "2018-09-09 20:04:12,215 : INFO : EPOCH 4 - PROGRESS: at 96.02% examples, 119074 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:13,216 : INFO : EPOCH 4 - PROGRESS: at 96.10% examples, 119083 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:14,218 : INFO : EPOCH 4 - PROGRESS: at 96.18% examples, 119086 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:15,263 : INFO : EPOCH 4 - PROGRESS: at 96.26% examples, 119086 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:16,330 : INFO : EPOCH 4 - PROGRESS: at 96.34% examples, 119098 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:17,348 : INFO : EPOCH 4 - PROGRESS: at 96.42% examples, 119100 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:18,346 : INFO : EPOCH 4 - PROGRESS: at 96.50% examples, 119110 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:19,356 : INFO : EPOCH 4 - PROGRESS: at 96.58% examples, 119113 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:20,426 : INFO : EPOCH 4 - PROGRESS: at 96.65% examples, 119109 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:21,464 : INFO : EPOCH 4 - PROGRESS: at 96.74% examples, 119123 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:22,549 : INFO : EPOCH 4 - PROGRESS: at 96.82% examples, 119121 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:23,543 : INFO : EPOCH 4 - PROGRESS: at 96.90% examples, 119140 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:24,672 : INFO : EPOCH 4 - PROGRESS: at 96.99% examples, 119138 words/s, in_qsize 8, out_qsize 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 20:04:25,762 : INFO : EPOCH 4 - PROGRESS: at 97.07% examples, 119147 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:04:26,783 : INFO : EPOCH 4 - PROGRESS: at 97.15% examples, 119148 words/s, in_qsize 7, out_qsize 0\n",
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      "2018-09-09 20:04:30,028 : INFO : EPOCH 4 - PROGRESS: at 97.40% examples, 119164 words/s, in_qsize 7, out_qsize 0\n",
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      "2018-09-09 20:04:32,216 : INFO : EPOCH 4 - PROGRESS: at 97.58% examples, 119188 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:33,327 : INFO : EPOCH 4 - PROGRESS: at 97.66% examples, 119180 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:34,340 : INFO : EPOCH 4 - PROGRESS: at 97.74% examples, 119190 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 20:04:41,961 : INFO : EPOCH 4 - PROGRESS: at 98.29% examples, 119177 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:04:43,001 : INFO : EPOCH 4 - PROGRESS: at 98.36% examples, 119176 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:04:44,011 : INFO : EPOCH 4 - PROGRESS: at 98.44% examples, 119177 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:04:45,070 : INFO : EPOCH 4 - PROGRESS: at 98.51% examples, 119167 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 20:04:52,412 : INFO : EPOCH 4 - PROGRESS: at 99.04% examples, 119143 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 20:05:05,239 : INFO : EPOCH 4 - PROGRESS: at 99.96% examples, 119116 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:05:05,545 : INFO : worker thread finished; awaiting finish of 3 more threads\n",
      "2018-09-09 20:05:05,564 : INFO : worker thread finished; awaiting finish of 2 more threads\n",
      "2018-09-09 20:05:05,599 : INFO : worker thread finished; awaiting finish of 1 more threads\n",
      "2018-09-09 20:05:05,684 : INFO : worker thread finished; awaiting finish of 0 more threads\n",
      "2018-09-09 20:05:05,685 : INFO : EPOCH - 4 : training on 171163178 raw words (161869821 effective words) took 1358.9s, 119121 effective words/s\n",
      "2018-09-09 20:05:06,714 : INFO : EPOCH 5 - PROGRESS: at 0.07% examples, 111540 words/s, in_qsize 7, out_qsize 0\n",
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      "2018-09-09 20:05:24,232 : INFO : EPOCH 5 - PROGRESS: at 1.33% examples, 116610 words/s, in_qsize 7, out_qsize 0\n",
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      "2018-09-09 20:05:27,437 : INFO : EPOCH 5 - PROGRESS: at 1.57% examples, 116746 words/s, in_qsize 7, out_qsize 0\n",
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      "2018-09-09 20:05:32,831 : INFO : EPOCH 5 - PROGRESS: at 1.96% examples, 116825 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:05:33,979 : INFO : EPOCH 5 - PROGRESS: at 2.04% examples, 116761 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:05:35,078 : INFO : EPOCH 5 - PROGRESS: at 2.12% examples, 116882 words/s, in_qsize 8, out_qsize 0\n",
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      "2018-09-09 20:05:38,414 : INFO : EPOCH 5 - PROGRESS: at 2.37% examples, 117059 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:05:39,523 : INFO : EPOCH 5 - PROGRESS: at 2.45% examples, 117134 words/s, in_qsize 8, out_qsize 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 20:05:40,632 : INFO : EPOCH 5 - PROGRESS: at 2.53% examples, 117178 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    },
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     "output_type": "stream",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 20:09:33,963 : INFO : EPOCH 5 - PROGRESS: at 19.49% examples, 117318 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
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     "output_type": "stream",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 20:12:11,361 : INFO : EPOCH 5 - PROGRESS: at 31.16% examples, 118247 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 20:14:46,991 : INFO : EPOCH 5 - PROGRESS: at 42.95% examples, 119418 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
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     "output_type": "stream",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 20:17:22,986 : INFO : EPOCH 5 - PROGRESS: at 54.52% examples, 119572 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 20:19:57,832 : INFO : EPOCH 5 - PROGRESS: at 65.44% examples, 118624 words/s, in_qsize 8, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 20:22:32,156 : INFO : EPOCH 5 - PROGRESS: at 77.20% examples, 119336 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 20:25:07,524 : INFO : EPOCH 5 - PROGRESS: at 88.88% examples, 119681 words/s, in_qsize 7, out_qsize 0\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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      "2018-09-09 20:26:57,685 : INFO : EPOCH 5 - PROGRESS: at 96.83% examples, 119483 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:26:58,687 : INFO : EPOCH 5 - PROGRESS: at 96.91% examples, 119487 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:26:59,857 : INFO : EPOCH 5 - PROGRESS: at 97.00% examples, 119488 words/s, in_qsize 6, out_qsize 1\n",
      "2018-09-09 20:27:00,870 : INFO : EPOCH 5 - PROGRESS: at 97.08% examples, 119496 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:02,040 : INFO : EPOCH 5 - PROGRESS: at 97.16% examples, 119491 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:27:03,060 : INFO : EPOCH 5 - PROGRESS: at 97.25% examples, 119505 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:04,232 : INFO : EPOCH 5 - PROGRESS: at 97.32% examples, 119493 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:05,413 : INFO : EPOCH 5 - PROGRESS: at 97.42% examples, 119502 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:27:06,624 : INFO : EPOCH 5 - PROGRESS: at 97.51% examples, 119508 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:07,643 : INFO : EPOCH 5 - PROGRESS: at 97.60% examples, 119522 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:08,809 : INFO : EPOCH 5 - PROGRESS: at 97.67% examples, 119509 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:09,854 : INFO : EPOCH 5 - PROGRESS: at 97.76% examples, 119522 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:11,000 : INFO : EPOCH 5 - PROGRESS: at 97.84% examples, 119511 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:12,001 : INFO : EPOCH 5 - PROGRESS: at 97.92% examples, 119521 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:13,004 : INFO : EPOCH 5 - PROGRESS: at 98.00% examples, 119523 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:14,177 : INFO : EPOCH 5 - PROGRESS: at 98.07% examples, 119510 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:27:15,222 : INFO : EPOCH 5 - PROGRESS: at 98.14% examples, 119502 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:27:16,294 : INFO : EPOCH 5 - PROGRESS: at 98.22% examples, 119506 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:17,413 : INFO : EPOCH 5 - PROGRESS: at 98.31% examples, 119505 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:18,460 : INFO : EPOCH 5 - PROGRESS: at 98.39% examples, 119510 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:27:19,621 : INFO : EPOCH 5 - PROGRESS: at 98.47% examples, 119505 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:27:20,662 : INFO : EPOCH 5 - PROGRESS: at 98.56% examples, 119517 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:21,798 : INFO : EPOCH 5 - PROGRESS: at 98.63% examples, 119507 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:27:22,833 : INFO : EPOCH 5 - PROGRESS: at 98.71% examples, 119514 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:27:23,983 : INFO : EPOCH 5 - PROGRESS: at 98.80% examples, 119510 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:27:25,016 : INFO : EPOCH 5 - PROGRESS: at 98.88% examples, 119514 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:26,022 : INFO : EPOCH 5 - PROGRESS: at 98.96% examples, 119522 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:27,031 : INFO : EPOCH 5 - PROGRESS: at 99.04% examples, 119522 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:27:28,095 : INFO : EPOCH 5 - PROGRESS: at 99.12% examples, 119534 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:27:29,173 : INFO : EPOCH 5 - PROGRESS: at 99.20% examples, 119529 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:30,213 : INFO : EPOCH 5 - PROGRESS: at 99.28% examples, 119528 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:31,233 : INFO : EPOCH 5 - PROGRESS: at 99.35% examples, 119529 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:32,257 : INFO : EPOCH 5 - PROGRESS: at 99.42% examples, 119522 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:33,262 : INFO : EPOCH 5 - PROGRESS: at 99.50% examples, 119524 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:34,311 : INFO : EPOCH 5 - PROGRESS: at 99.56% examples, 119508 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:27:35,321 : INFO : EPOCH 5 - PROGRESS: at 99.64% examples, 119509 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:27:36,378 : INFO : EPOCH 5 - PROGRESS: at 99.71% examples, 119507 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:27:37,490 : INFO : EPOCH 5 - PROGRESS: at 99.79% examples, 119499 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:38,495 : INFO : EPOCH 5 - PROGRESS: at 99.86% examples, 119493 words/s, in_qsize 8, out_qsize 0\n",
      "2018-09-09 20:27:39,550 : INFO : EPOCH 5 - PROGRESS: at 99.94% examples, 119490 words/s, in_qsize 7, out_qsize 0\n",
      "2018-09-09 20:27:40,157 : INFO : worker thread finished; awaiting finish of 3 more threads\n",
      "2018-09-09 20:27:40,192 : INFO : worker thread finished; awaiting finish of 2 more threads\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 20:27:40,207 : INFO : worker thread finished; awaiting finish of 1 more threads\n",
      "2018-09-09 20:27:40,297 : INFO : worker thread finished; awaiting finish of 0 more threads\n",
      "2018-09-09 20:27:40,297 : INFO : EPOCH - 5 : training on 171163178 raw words (161870318 effective words) took 1354.6s, 119496 effective words/s\n",
      "2018-09-09 20:27:40,297 : INFO : training on a 855815890 raw words (809352609 effective words) took 7950.6s, 101797 effective words/s\n",
      "2018-09-09 20:27:40,299 : INFO : storing 1020890x300 projection weights into wiki300.model.bin\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "model 已儲存完畢\n"
     ]
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "__author__ = \"ALEX-CHUN-YU (P76064538@mail.ncku.edu.tw)\"\n",
    "import warnings\n",
    "warnings.filterwarnings(action = 'ignore', category = UserWarning, module = 'gensim')\n",
    "from gensim.models import word2vec\n",
    "\n",
    "# 主要透過 gensim 訓練成 model 並供使用\n",
    "class Train(object):\n",
    "\n",
    "    def __init__(self):\n",
    "        pass\n",
    "\n",
    "    # 可參考 https://radimrehurek.com/gensim/models/word2vec.html 更多運用\n",
    "    def train(self):\n",
    "        print(\"訓練中...(喝個咖啡吧^0^)\")\n",
    "        # Load file\n",
    "        sentence = word2vec.Text8Corpus(\"segmentation.txt\")\n",
    "        # Setting degree and Produce Model(Train)\n",
    "        model = word2vec.Word2Vec(sentence, size = 300, window = 10, min_count = 5, workers = 4, sg = 1)\n",
    "        # Save model \n",
    "        model.wv.save_word2vec_format(u\"wiki300.model.bin\", binary = True)\n",
    "        print(\"model 已儲存完畢\")\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    t = Train()\n",
    "    # 訓練(shallow semantic space)\n",
    "    t.train()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 將訓練好的 Model 進行測試"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2018-09-09 20:37:22,821 : INFO : loading projection weights from wiki300.model.bin\n",
      "2018-09-09 20:37:33,984 : INFO : loaded (1020890, 300) matrix from wiki300.model.bin\n",
      "c:\\users\\alex\\desktop\\project\\ml\\lib\\site-packages\\ipykernel_launcher.py:13: DeprecationWarning: Call to deprecated `wv` (Attribute will be removed in 4.0.0, use self instead).\n",
      "  del sys.path[0]\n",
      "2018-09-09 20:37:33,985 : INFO : precomputing L2-norms of word weight vectors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'爸爸'前10名相似:\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\alex\\desktop\\project\\ml\\lib\\site-packages\\gensim\\matutils.py:737: FutureWarning: Conversion of the second argument of issubdtype from `int` to `np.signedinteger` is deprecated. In future, it will be treated as `np.int32 == np.dtype(int).type`.\n",
      "  if np.issubdtype(vec.dtype, np.int):\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "媽媽,0.8637059926986694\n",
      "奶奶,0.7334481477737427\n",
      "爺爺,0.7206591367721558\n",
      "老公,0.6799066066741943\n",
      "賢彬,0.6610162258148193\n",
      "阿姨,0.6590244770050049\n",
      "唐溫蒂,0.6552596092224121\n",
      "哥哥,0.6547386646270752\n",
      "惠京,0.6547234058380127\n",
      "方大銅,0.6540009379386902\n",
      "\n",
      "'爸爸','媽媽'之間相似度:\n",
      "0.86370593\n",
      "\n",
      "'爸爸'之於'老公',如'媽媽'之於'老婆':\n",
      "老婆,0.6548448801040649\n",
      "男友,0.6017208099365234\n",
      "石麥,0.5878061056137085\n",
      "尤亮,0.5823331475257874\n",
      "柯欣宜,0.5816488265991211\n"
     ]
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "__author__ = \"ALEX-CHUN-YU (P76064538@mail.ncku.edu.tw)\"\n",
    "import warnings\n",
    "warnings.filterwarnings(action = 'ignore', category = UserWarning, module = 'gensim')\n",
    "from gensim.models.keyedvectors import KeyedVectors\n",
    "\n",
    "# 載入 model 並去運用\n",
    "def main():\n",
    "    # 可參考 https://radimrehurek.com/gensim/models/word2vec.html 更多運用\n",
    "    # How to use bin(model)?\n",
    "    word_vectors = KeyedVectors.load_word2vec_format(\"wiki300.model.bin\", binary = True)\n",
    "    print(\"'爸爸'前10名相似:\")    \n",
    "    res = word_vectors.wv.most_similar('爸爸', topn = 10)\n",
    "    for item in res:\n",
    "        print(item[0] + \",\" + str(item[1]))\n",
    "    print(\"\\n'爸爸','媽媽'之間相似度:\")\n",
    "    res = word_vectors.similarity('爸爸', '媽媽')\n",
    "    print(res)\n",
    "    print(\"\\n'爸爸'之於'老公',如'媽媽'之於'老婆':\")\n",
    "    res = word_vectors.most_similar(positive = ['爸爸', '老公'], negative = ['媽媽'], topn = 5)\n",
    "    for item in res:\n",
    "        print(item[0] + \",\" + str(item[1]))\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    main()\n"
   ]
  }
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