tutorial-visualize-embeddings.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualizing word embeddings : Deep Learning for NLP embeddings.\n",
    "\n",
    "This notebook will guide you through the implementation of Word2Vec, a popular model used in Natural Language Processing (NLP) to capture semantic meaning from text. We will apply this model to a dataset and visualize the learned word embeddings."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center><img src=\"https://education-team-2020.s3.eu-west-1.amazonaws.com/ai-eng/w4-s3/deep_learning.png\" width=\"1000\"/></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tutorial\n",
    "\n",
    "In this notebook, we will apply the Word2Vec model to a text dataset. The Word2Vec model learns to represent words in a continuous vector space, where semantically similar words are mapped to nearby points. We will walk through the following steps:\n",
    "\n",
    "1. **Download the Training Data:** We'll start by downloading a large text corpus for training.\n",
    "2. **Set up Word2Vec in TensorFlow:** We'll configure the Word2Vec model using TensorFlow, a popular machine learning library.\n",
    "3. **Train the Model:** We'll train the Word2Vec model on the dataset to learn word embeddings.\n",
    "4. **Visualize the Embeddings:** Finally, we'll visualize the learned word embeddings using dimensionality reduction techniques."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "reset -fs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# I like to live dangerously ☠\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-08-16 23:17:33.793450: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
      "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
     ]
    }
   ],
   "source": [
    "import collections\n",
    "import math\n",
    "import os\n",
    "from pprint import pprint\n",
    "import random\n",
    "import urllib.request\n",
    "import zipfile\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import tensorflow as tf \n",
    "from sklearn.manifold import TSNE\n",
    "\n",
    "%matplotlib inline  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 1: Download the Dataset\n",
    "\n",
    "To train our Word2Vec model, we need a large text corpus. In this step, we will download the \"text8\" dataset, a popular dataset used for training word embeddings. This dataset contains 100 MB of English Wikipedia text from 2006, which is commonly used in NLP tasks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found and verified text8.zip\n"
     ]
    }
   ],
   "source": [
    "url = 'http://mattmahoney.net/dc/'\n",
    "\n",
    "def maybe_download(path, filename, expected_bytes):\n",
    "    \"\"\"Download a file if not present, and make sure it's the right size.\"\"\"\n",
    "    \n",
    "    if not os.path.exists(path+filename):\n",
    "        filename, _ = urllib.request.urlretrieve(url + filename, filename)\n",
    "    \n",
    "    statinfo = os.stat(path+filename)\n",
    "    if statinfo.st_size == expected_bytes:\n",
    "        print('Found and verified', filename)\n",
    "    else:\n",
    "        print(statinfo.st_size)\n",
    "        raise Exception(\n",
    "            'Failed to verify ' + filename + '. Can you get to it with a browser?')\n",
    "    \n",
    "    return filename\n",
    "\n",
    "path = \"\"\n",
    "filename = maybe_download(path, 'text8.zip', 31_344_016)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Note:** While the dataset is being downloaded, feel free to look ahead at the upcoming code cells to get a sense of what we'll be doing next."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset size: 17,005,207 words\n"
     ]
    }
   ],
   "source": [
    "# Read the data into a list of strings.\n",
    "def read_data(path, filename):\n",
    "    \"\"\"Extract the first file enclosed in a zip file as a list of words\"\"\"\n",
    "    with zipfile.ZipFile(path+filename) as f:\n",
    "        data = tf.compat.as_str(f.read(f.namelist()[0])).split()\n",
    "    return data\n",
    "\n",
    "vocabulary = read_data(path, filename)\n",
    "print('Dataset size: {:,} words'.format(len(vocabulary)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['anarchism',\n",
       " 'originated',\n",
       " 'as',\n",
       " 'a',\n",
       " 'term',\n",
       " 'of',\n",
       " 'abuse',\n",
       " 'first',\n",
       " 'used',\n",
       " 'against',\n",
       " 'early',\n",
       " 'working',\n",
       " 'class',\n",
       " 'radicals',\n",
       " 'including',\n",
       " 'the',\n",
       " 'diggers',\n",
       " 'of',\n",
       " 'the',\n",
       " 'english']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Take a peak at the head\n",
    "vocabulary[:20]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Observations on Preprocessing\n",
    "\n",
    "- **Case and Punctuation:** Notice that none of the words in our dataset are capitalized, and there is no punctuation. This is likely due to preprocessing steps taken before we acquired the dataset, which ensures uniformity in the text.\n",
    "- **Preprocessing Considerations:** Preprocessing is a crucial part of NLP tasks, and its specifics depend on the data and the intended use. For instance, while we're working with unigrams (single words), other tasks might benefit from encoding n-grams (combinations of words) to capture context better."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----\n",
    "Step 2: Build the dictionary \n",
    "-----"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "Now that we have our text data, the next step is to build a dictionary. This dictionary will map each unique word in our dataset to a unique integer code. \n",
    "\n",
    "Additionally, we'll keep track of the frequency of each word, which will help us prioritize the most common words."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "vocabulary_size = 50_000\n",
    "\n",
    "def build_dataset(words, n_words):\n",
    "    \"\"\"Process raw inputs into a dataset.\"\"\"\n",
    "    count = [['UNK', -1]]\n",
    "    count.extend(collections.Counter(words).most_common(n_words - 1))\n",
    "    dictionary = dict()\n",
    "    for word, _ in count:\n",
    "        dictionary[word] = len(dictionary)\n",
    "    data = list()\n",
    "    unk_count = 0\n",
    "    for word in words:\n",
    "        index = dictionary.get(word, 0)\n",
    "        if index == 0:  # dictionary['UNK']\n",
    "            unk_count += 1\n",
    "        data.append(index)\n",
    "    count[0][1] = unk_count\n",
    "    reversed_dictionary = dict(zip(dictionary.values(), dictionary.keys()))\n",
    "    return data, count, dictionary, reversed_dictionary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "data, count, dictionary, reverse_dictionary = build_dataset(vocabulary,\n",
    "                                                            vocabulary_size)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Understanding the Key Variables\n",
    "\n",
    "- **`data`:** A list of integer codes representing the words in the original text. Each word is replaced by its corresponding code from the `dictionary`.\n",
    "- **`count`:** A list of tuples where each tuple contains a word and its frequency count in the dataset.\n",
    "- **`dictionary`:** A dictionary mapping each word to its unique integer code.\n",
    "- **`reverse_dictionary`:** A reverse mapping that converts integer codes back to their corresponding words."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "del vocabulary # Reduce memory by getting rid of the \"heavy\" list of strings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[5234, 3081, 12, 6, 195]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[:5] # An index of each word (as it appears in order) to its rank. Therefore we don't have reference the string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dictionary['the'] # word: rank"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'anarchism'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reverse_dictionary[5234] # rank: word"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Most common words:\n",
      "['UNK', 418391]\n",
      "('the', 1061396)\n",
      "('of', 593677)\n",
      "('and', 416629)\n",
      "('one', 411764)\n"
     ]
    }
   ],
   "source": [
    "print('Most common words:') \n",
    "print(*count[:5], sep=\"\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Least common words:\n",
      "('codeword', 9)\n",
      "('senussi', 9)\n",
      "('unscr', 9)\n",
      "('leonards', 9)\n",
      "('hif', 9)\n"
     ]
    }
   ],
   "source": [
    "print('Least common words:')\n",
    "print(*count[-5:], sep=\"\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Step 3: Generate a Training Batch for the Skip-Gram Model\n",
    "\n",
    "In this step, we'll create a function to generate training batches for our skip-gram model. The skip-gram model is a variant of Word2Vec that predicts the context words given a target word. This function will help us prepare the data in the correct format for training the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_index = 0\n",
    "\n",
    "def generate_batch(batch_size, num_skips, skip_window):\n",
    "    global data_index\n",
    "    assert batch_size % num_skips == 0\n",
    "    assert num_skips <= 2 * skip_window\n",
    "    batch = np.ndarray(shape=(batch_size), dtype=np.int32)\n",
    "    labels = np.ndarray(shape=(batch_size, 1), dtype=np.int32)\n",
    "    span = 2 * skip_window + 1  # [ skip_window target skip_window ]\n",
    "    buffer = collections.deque(maxlen=span)\n",
    "    if data_index + span > len(data):\n",
    "        data_index = 0\n",
    "    buffer.extend(data[data_index:data_index + span])\n",
    "    data_index += span\n",
    "    for i in range(batch_size // num_skips):\n",
    "        context_words = [w for w in range(span) if w != skip_window]\n",
    "        words_to_use = random.sample(context_words, num_skips)\n",
    "        for j, context_word in enumerate(words_to_use):\n",
    "            batch[i * num_skips + j] = buffer[skip_window]\n",
    "            labels[i * num_skips + j, 0] = buffer[context_word]\n",
    "        if data_index == len(data):\n",
    "            buffer[:] = data[:span]\n",
    "            data_index = span\n",
    "        else:\n",
    "            buffer.append(data[data_index])\n",
    "            data_index += 1\n",
    "    # Backtrack a little bit to avoid skipping words in the end of a batch\n",
    "    data_index = (data_index + len(data) - span) % len(data)\n",
    "    return batch, labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "batch, labels = generate_batch(batch_size=8, \n",
    "                               num_skips=2, \n",
    "                               skip_window=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3081 originated -> 12 as\n",
      "3081 originated -> 5234 anarchism\n",
      "12 as -> 6 a\n",
      "12 as -> 3081 originated\n",
      "6 a -> 195 term\n",
      "6 a -> 12 as\n",
      "195 term -> 2 of\n",
      "195 term -> 6 a\n"
     ]
    }
   ],
   "source": [
    "# Example of self-supervised learning\n",
    "for i in range(8):\n",
    "    print(batch[i], reverse_dictionary[batch[i]],\n",
    "        '->', labels[i, 0], reverse_dictionary[labels[i, 0]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----\n",
    "Step 4: Build and train a skip-gram model.\n",
    "-----\n",
    "\n",
    "The Skip-Gram model is a type of neural network model used in Natural Language Processing (NLP) to learn distributed representations of words, commonly known as word embeddings. \n",
    "\n",
    "Word embeddings are dense vector representations of words that capture semantic relationships between them, meaning that words with similar meanings are mapped to similar points in the vector space.\n",
    "\n",
    "### How the Skip-Gram Model Works\n",
    "The goal of the Skip-Gram model is to predict the context words given a target word. Here's how it works:\n",
    "\n",
    "Input: The model takes a single word (the target word) from the text as input.\n",
    "\n",
    "Output: The model is trained to predict words that are likely to appear in the context of the target word within a specified window of words before and after the target word. This context window is typically referred to as the \"skip window.\"\n",
    "\n",
    "For example, if the sentence is \"The cat sat on the mat,\" and the target word is \"sat,\" the model might be asked to predict the words \"The,\" \"cat,\" \"on,\" and \"the,\" which appear around \"sat.\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "batch_size = 128\n",
    "embedding_size = 128  # Dimension of the embedding vector.\n",
    "skip_window = 1       # How many words to consider left and right.\n",
    "num_skips = 2         # How many times to reuse an input to generate a label.\n",
    "num_sampled = 64      # Number of negative examples to sample.\n",
    "\n",
    "# We pick a random validation set to sample nearest neighbors. Here we limit the\n",
    "# validation samples to the words that have a low numeric ID, which by\n",
    "# construction are also the most frequent.\n",
    "valid_size = 16     # Random set of words to evaluate similarity on.\n",
    "valid_window = 100  # Only pick dev samples in the head of the distribution.\n",
    "valid_examples = np.random.choice(valid_window, valid_size, replace=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow.compat.v1 as v1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "graph = tf.Graph()\n",
    "\n",
    "with graph.as_default():\n",
    "\n",
    "    # Input data.\n",
    "    train_inputs = v1.placeholder(tf.int32, shape=[batch_size])\n",
    "    train_labels = v1.placeholder(tf.int32, shape=[batch_size, 1])\n",
    "    valid_dataset = v1.constant(valid_examples, dtype=tf.int32)\n",
    "\n",
    "    with tf.device('/cpu:0'):\n",
    "        # Look up embeddings for inputs.\n",
    "        embeddings = tf.Variable(\n",
    "            v1.random_uniform([vocabulary_size, embedding_size], -1.0, 1.0))\n",
    "        embed = tf.nn.embedding_lookup(embeddings, train_inputs)\n",
    "\n",
    "        # Construct the variables for the NCE loss\n",
    "        nce_weights = tf.Variable(\n",
    "            v1.truncated_normal([vocabulary_size, embedding_size],\n",
    "                                stddev=1.0 / math.sqrt(embedding_size)))\n",
    "        nce_biases = tf.Variable(tf.zeros([vocabulary_size]))\n",
    "\n",
    "        # Compute the average NCE loss for the batch.\n",
    "        # tf.nce_loss automatically draws a new sample of the negative labels each\n",
    "        # time we evaluate the loss.\n",
    "        # Explanation of the meaning of NCE loss:\n",
    "        #   http://mccormickml.com/2016/04/19/word2vec-tutorial-the-skip-gram-model/\n",
    "        loss = tf.reduce_mean(\n",
    "          tf.nn.nce_loss(weights=nce_weights,\n",
    "                         biases=nce_biases,\n",
    "                         labels=train_labels,\n",
    "                         inputs=embed,\n",
    "                         num_sampled=num_sampled,\n",
    "                         num_classes=vocabulary_size))\n",
    "\n",
    "        # Construct the SGD optimizer using a learning rate of 1.0.\n",
    "        optimizer = v1.train.GradientDescentOptimizer(1.0).minimize(loss)\n",
    "\n",
    "        # Compute the cosine similarity between minibatch examples and all embeddings.\n",
    "        norm = tf.sqrt(tf.reduce_sum(tf.square(embeddings), 1, keepdims=True))\n",
    "        normalized_embeddings = embeddings / norm\n",
    "        valid_embeddings = tf.nn.embedding_lookup(\n",
    "          normalized_embeddings, valid_dataset)\n",
    "        similarity = tf.matmul(\n",
    "          valid_embeddings, normalized_embeddings, transpose_b=True)\n",
    "\n",
    "        # Add variable initializer.\n",
    "        init = v1.global_variables_initializer()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----\n",
    "Step 5: Begin training.\n",
    "-----"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-08-16 23:18:21.593110: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:388] MLIR V1 optimization pass is not enabled\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initialized\n",
      "Average loss at step  0 :  286.0640563964844\n",
      "Nearest to 'they': guitar, infective, rlc, adm,\n",
      "Nearest to 'its': champaign, projection, cynicism, overtures,\n",
      "Nearest to 'but': retro, horizontal, militaristic, quieter,\n",
      "Nearest to 'while': rodan, typesetting, alderney, dictators,\n",
      "Nearest to 'zero': spawn, beli, antioxidants, disks,\n",
      "Nearest to 'world': diels, interned, aircraft, reports,\n",
      "Nearest to 'was': underworld, crimson, htm, contributors,\n",
      "Nearest to 'three': awarded, ample, explanations, badly,\n",
      "Nearest to 's': dianne, herzl, chocolat, cambodia,\n",
      "Nearest to 'no': fulltext, irt, antipope, elena,\n",
      "Nearest to 'known': selected, implicitly, reforming, becomes,\n",
      "Nearest to 'most': positrons, motorcycles, itchy, kayaks,\n",
      "Nearest to 'if': resonating, menlo, haemophilia, hyperthyroidism,\n",
      "Nearest to 'when': elaboration, messerschmitt, billion, slovenes,\n",
      "Nearest to 'over': compensation, attested, maggots, leg,\n",
      "Nearest to 'were': acquittal, yapese, euphoria, strapped,\n",
      "\n",
      "Average loss at step  2000 :  113.20361193799972\n",
      "Nearest to 'they': united, shall, spring, g,\n",
      "Nearest to 'its': jpg, projection, model, augustus,\n",
      "Nearest to 'but': humans, horizontal, alien, when,\n",
      "Nearest to 'while': government, score, knows, austroasiatic,\n",
      "Nearest to 'zero': vs, hermes, b, nine,\n",
      "Nearest to 'world': vs, aircraft, reports, dutch,\n",
      "Nearest to 'was': vs, community, consists, old,\n",
      "Nearest to 'three': awarded, states, vs, anthropology,\n",
      "Nearest to 's': railroad, amoeboid, consequence, cambodia,\n",
      "Nearest to 'no': sacred, aircraft, vs, animalium,\n",
      "Nearest to 'known': becomes, selected, evil, french,\n",
      "Nearest to 'most': final, led, run, trees,\n",
      "Nearest to 'if': eventual, particular, office, vs,\n",
      "Nearest to 'when': but, viewed, billion, identify,\n",
      "Nearest to 'over': springfield, attested, syndrome, leg,\n",
      "Nearest to 'were': astronomers, king, claims, census,\n",
      "\n",
      "Average loss at step  4000 :  52.71962926602364\n",
      "Nearest to 'they': shall, spring, worms, results,\n",
      "Nearest to 'its': robeson, jpg, model, agave,\n",
      "Nearest to 'but': horizontal, humans, carbon, alien,\n",
      "Nearest to 'while': binomial, government, base, knows,\n",
      "Nearest to 'zero': agave, nine, vs, basins,\n",
      "Nearest to 'world': aircraft, vs, reports, dutch,\n",
      "Nearest to 'was': in, and, gland, rifle,\n",
      "Nearest to 'three': basins, vs, awarded, agave,\n",
      "Nearest to 's': agave, cambodia, and, railroad,\n",
      "Nearest to 'no': sacred, travels, selected, var,\n",
      "Nearest to 'known': selected, gland, becomes, appellate,\n",
      "Nearest to 'most': var, final, led, run,\n",
      "Nearest to 'if': agave, eventual, extreme, legacy,\n",
      "Nearest to 'when': billion, but, intelligence, agave,\n",
      "Nearest to 'over': attested, springfield, bond, leg,\n",
      "Nearest to 'were': agave, king, respected, oxford,\n",
      "\n",
      "Average loss at step  6000 :  33.621938976287844\n",
      "Nearest to 'they': shall, worms, spring, producer,\n",
      "Nearest to 'its': robeson, jpg, model, agave,\n",
      "Nearest to 'but': horizontal, humans, when, carbon,\n",
      "Nearest to 'while': argentine, knows, caught, binomial,\n",
      "Nearest to 'zero': nine, agave, vs, ada,\n",
      "Nearest to 'world': aircraft, vs, dutch, reports,\n",
      "Nearest to 'was': in, is, hi, largely,\n",
      "Nearest to 'three': vs, basins, agave, manhattan,\n",
      "Nearest to 's': and, agave, cambodia, cite,\n",
      "Nearest to 'no': sacred, ptolemy, travels, downs,\n",
      "Nearest to 'known': selected, gland, galatians, evil,\n",
      "Nearest to 'most': var, led, trees, final,\n",
      "Nearest to 'if': agave, eventual, mosque, legacy,\n",
      "Nearest to 'when': billion, but, viewed, agave,\n",
      "Nearest to 'over': bond, attested, springfield, leg,\n",
      "Nearest to 'were': agave, king, respected, crew,\n",
      "\n",
      "Average loss at step  8000 :  23.4378579274416\n",
      "Nearest to 'they': guitar, shall, worms, results,\n",
      "Nearest to 'its': robeson, model, agave, projection,\n",
      "Nearest to 'but': horizontal, lymphoma, humans, when,\n",
      "Nearest to 'while': argentine, knows, caught, binomial,\n",
      "Nearest to 'zero': nine, coke, eight, archie,\n",
      "Nearest to 'world': aircraft, vs, reports, dutch,\n",
      "Nearest to 'was': is, in, and, coke,\n",
      "Nearest to 'three': vs, basins, agave, nine,\n",
      "Nearest to 's': and, agave, woe, shockwave,\n",
      "Nearest to 'no': frontal, sacred, kenya, travels,\n",
      "Nearest to 'known': selected, galatians, becomes, evil,\n",
      "Nearest to 'most': var, trees, run, final,\n",
      "Nearest to 'if': agave, hepatitis, eventual, legacy,\n",
      "Nearest to 'when': lymphoma, coke, but, billion,\n",
      "Nearest to 'over': bond, attested, springfield, compensation,\n",
      "Nearest to 'were': was, agave, king, respected,\n",
      "\n",
      "Average loss at step  10000 :  17.90175498855114\n",
      "Nearest to 'they': guitar, shall, it, adm,\n",
      "Nearest to 'its': agave, robeson, model, projection,\n",
      "Nearest to 'but': horizontal, lymphoma, and, when,\n",
      "Nearest to 'while': argentine, knows, caught, yeast,\n",
      "Nearest to 'zero': nine, eight, coke, archie,\n",
      "Nearest to 'world': reports, aircraft, vs, wozniak,\n",
      "Nearest to 'was': is, in, and, has,\n",
      "Nearest to 'three': vs, basins, zero, agave,\n",
      "Nearest to 's': and, the, agave, zero,\n",
      "Nearest to 'no': frontal, sacred, travels, kenya,\n",
      "Nearest to 'known': selected, becomes, galatians, evil,\n",
      "Nearest to 'most': var, trees, final, steps,\n",
      "Nearest to 'if': agave, hepatitis, defeating, eventual,\n",
      "Nearest to 'when': lymphoma, coke, but, billion,\n",
      "Nearest to 'over': bond, attested, leg, coke,\n",
      "Nearest to 'were': was, and, had, agave,\n",
      "\n",
      "Average loss at step  12000 :  14.148671652317047\n",
      "Nearest to 'they': guitar, it, adm, shall,\n",
      "Nearest to 'its': the, agave, matrices, model,\n",
      "Nearest to 'but': and, horizontal, lymphoma, when,\n",
      "Nearest to 'while': argentine, caught, knows, spalding,\n",
      "Nearest to 'zero': nine, eight, six, and,\n",
      "Nearest to 'world': reports, aircraft, vs, uses,\n",
      "Nearest to 'was': is, in, has, and,\n",
      "Nearest to 'three': nine, zero, vs, basins,\n",
      "Nearest to 's': and, the, zero, agave,\n",
      "Nearest to 'no': frontal, sacred, formalism, travels,\n",
      "Nearest to 'known': selected, galatians, becomes, implicitly,\n",
      "Nearest to 'most': var, trees, steps, final,\n",
      "Nearest to 'if': agave, defeating, hepatitis, eventual,\n",
      "Nearest to 'when': lymphoma, but, coke, billion,\n",
      "Nearest to 'over': bond, attested, leg, nile,\n",
      "Nearest to 'were': was, are, is, had,\n",
      "\n",
      "Average loss at step  14000 :  11.921675191283226\n",
      "Nearest to 'they': it, agouti, guitar, he,\n",
      "Nearest to 'its': the, agave, matrices, model,\n",
      "Nearest to 'but': agouti, and, horizontal, dasyprocta,\n",
      "Nearest to 'while': argentine, agouti, caught, yeast,\n",
      "Nearest to 'zero': nine, dasyprocta, agouti, eight,\n",
      "Nearest to 'world': dasyprocta, agouti, reports, vs,\n",
      "Nearest to 'was': is, agouti, has, coke,\n",
      "Nearest to 'three': agouti, nine, dasyprocta, zero,\n",
      "Nearest to 's': and, the, of, agouti,\n",
      "Nearest to 'no': frontal, formalism, travels, sacred,\n",
      "Nearest to 'known': selected, galatians, agouti, implicitly,\n",
      "Nearest to 'most': var, trees, dasyprocta, agouti,\n",
      "Nearest to 'if': agave, defeating, speculations, hepatitis,\n",
      "Nearest to 'when': agouti, lymphoma, but, coke,\n",
      "Nearest to 'over': agouti, bond, attested, leg,\n",
      "Nearest to 'were': are, was, and, had,\n",
      "\n",
      "Average loss at step  16000 :  10.002672465443611\n",
      "Nearest to 'they': he, it, agouti, guitar,\n",
      "Nearest to 'its': the, his, matrices, model,\n",
      "Nearest to 'but': and, agouti, dasyprocta, horizontal,\n",
      "Nearest to 'while': argentine, caught, agouti, yeast,\n",
      "Nearest to 'zero': nine, eight, six, five,\n",
      "Nearest to 'world': dasyprocta, agouti, reports, vs,\n",
      "Nearest to 'was': is, agouti, were, by,\n",
      "Nearest to 'three': nine, eight, zero, two,\n",
      "Nearest to 's': and, of, zero, the,\n",
      "Nearest to 'no': formalism, frontal, travels, kenya,\n",
      "Nearest to 'known': selected, galatians, agouti, appellate,\n",
      "Nearest to 'most': var, trees, cds, steps,\n",
      "Nearest to 'if': agave, defeating, speculations, when,\n",
      "Nearest to 'when': agouti, but, lymphoma, and,\n",
      "Nearest to 'over': agouti, bond, attested, leg,\n",
      "Nearest to 'were': are, and, was, had,\n",
      "\n",
      "Average loss at step  18000 :  8.532727939605714\n",
      "Nearest to 'they': he, it, agouti, guitar,\n",
      "Nearest to 'its': the, his, matrices, model,\n",
      "Nearest to 'but': and, agouti, dasyprocta, when,\n",
      "Nearest to 'while': argentine, caught, agouti, yeast,\n",
      "Nearest to 'zero': nine, eight, six, three,\n",
      "Nearest to 'world': dasyprocta, agouti, vs, reports,\n",
      "Nearest to 'was': is, were, by, has,\n",
      "Nearest to 'three': zero, nine, eight, two,\n",
      "Nearest to 's': and, zero, the, of,\n",
      "Nearest to 'no': antipope, formalism, frontal, travels,\n",
      "Nearest to 'known': selected, galatians, infancy, appellate,\n",
      "Nearest to 'most': var, trees, cds, steps,\n",
      "Nearest to 'if': agave, when, defeating, speculations,\n",
      "Nearest to 'when': agouti, but, lymphoma, was,\n",
      "Nearest to 'over': agouti, bond, attested, leg,\n",
      "Nearest to 'were': are, was, and, had,\n",
      "\n",
      "Average loss at step  20000 :  8.130032890319825\n",
      "Nearest to 'they': he, it, agouti, guitar,\n",
      "Nearest to 'its': the, his, matrices, proximity,\n",
      "Nearest to 'but': and, agouti, dasyprocta, when,\n",
      "Nearest to 'while': argentine, caught, agouti, spalding,\n",
      "Nearest to 'zero': nine, eight, five, six,\n",
      "Nearest to 'world': dasyprocta, agouti, vs, reports,\n",
      "Nearest to 'was': is, were, by, has,\n",
      "Nearest to 'three': zero, two, eight, nine,\n",
      "Nearest to 's': and, the, zero, his,\n",
      "Nearest to 'no': antipope, formalism, frontal, travels,\n",
      "Nearest to 'known': selected, galatians, agouti, archduke,\n",
      "Nearest to 'most': antiprism, var, trees, agouti,\n",
      "Nearest to 'if': agave, when, eagles, defeating,\n",
      "Nearest to 'when': agouti, but, lymphoma, was,\n",
      "Nearest to 'over': agouti, inappropriate, bond, attested,\n",
      "Nearest to 'were': are, was, had, is,\n",
      "\n",
      "Average loss at step  22000 :  6.942255160927773\n",
      "Nearest to 'they': he, it, agouti, not,\n",
      "Nearest to 'its': the, his, their, matrices,\n",
      "Nearest to 'but': and, agouti, sponsors, dasyprocta,\n",
      "Nearest to 'while': argentine, agouti, caught, spalding,\n",
      "Nearest to 'zero': eight, nine, six, five,\n",
      "Nearest to 'world': dasyprocta, agouti, uses, reports,\n",
      "Nearest to 'was': is, were, has, by,\n",
      "Nearest to 'three': eight, two, six, zero,\n",
      "Nearest to 's': and, the, his, zero,\n",
      "Nearest to 'no': antipope, formalism, frontal, a,\n",
      "Nearest to 'known': selected, galatians, archduke, agouti,\n",
      "Nearest to 'most': var, antiprism, trees, agouti,\n",
      "Nearest to 'if': agave, when, defeating, eagles,\n",
      "Nearest to 'when': but, agouti, was, and,\n",
      "Nearest to 'over': inappropriate, sponsors, agouti, attested,\n",
      "Nearest to 'were': are, was, had, is,\n",
      "\n",
      "Average loss at step  24000 :  6.789062440514565\n",
      "Nearest to 'they': he, it, not, agouti,\n",
      "Nearest to 'its': the, his, their, agave,\n",
      "Nearest to 'but': and, agouti, sponsors, dasyprocta,\n",
      "Nearest to 'while': argentine, agouti, caught, spalding,\n",
      "Nearest to 'zero': eight, nine, six, five,\n",
      "Nearest to 'world': dasyprocta, agouti, uses, reports,\n",
      "Nearest to 'was': is, were, has, by,\n",
      "Nearest to 'three': nine, eight, two, zero,\n",
      "Nearest to 's': and, two, his, zero,\n",
      "Nearest to 'no': antipope, formalism, frontal, travels,\n",
      "Nearest to 'known': selected, galatians, archduke, well,\n",
      "Nearest to 'most': var, antiprism, trees, agouti,\n",
      "Nearest to 'if': eagles, when, agave, defeating,\n",
      "Nearest to 'when': but, agouti, was, lymphoma,\n",
      "Nearest to 'over': inappropriate, agouti, sponsors, attested,\n",
      "Nearest to 'were': are, was, had, is,\n",
      "\n",
      "Average loss at step  26000 :  6.7098153595924375\n",
      "Nearest to 'they': he, it, not, agouti,\n",
      "Nearest to 'its': the, his, their, agave,\n",
      "Nearest to 'but': agouti, and, sponsors, dasyprocta,\n",
      "Nearest to 'while': argentine, agouti, caught, yeast,\n",
      "Nearest to 'zero': eight, three, six, five,\n",
      "Nearest to 'world': dasyprocta, agouti, uses, reports,\n",
      "Nearest to 'was': is, were, has, by,\n",
      "Nearest to 'three': eight, zero, seven, six,\n",
      "Nearest to 's': and, two, his, zero,\n",
      "Nearest to 'no': formalism, antipope, frontal, travels,\n",
      "Nearest to 'known': selected, galatians, archduke, agouti,\n",
      "Nearest to 'most': var, antiprism, agouti, trees,\n",
      "Nearest to 'if': when, eagles, agave, defeating,\n",
      "Nearest to 'when': but, agouti, was, six,\n",
      "Nearest to 'over': inappropriate, agouti, sponsors, attested,\n",
      "Nearest to 'were': are, was, had, by,\n",
      "\n",
      "Average loss at step  28000 :  6.347582849025726\n",
      "Nearest to 'they': he, it, not, who,\n",
      "Nearest to 'its': the, his, their, agave,\n",
      "Nearest to 'but': and, agouti, sponsors, dasyprocta,\n",
      "Nearest to 'while': argentine, agouti, caught, yeast,\n",
      "Nearest to 'zero': eight, six, five, three,\n",
      "Nearest to 'world': dasyprocta, aba, uses, agouti,\n",
      "Nearest to 'was': is, were, has, had,\n",
      "Nearest to 'three': eight, six, seven, five,\n",
      "Nearest to 's': and, the, his, zero,\n",
      "Nearest to 'no': formalism, antipope, frontal, travels,\n",
      "Nearest to 'known': selected, galatians, archduke, well,\n",
      "Nearest to 'most': var, antiprism, trees, imperium,\n",
      "Nearest to 'if': when, eagles, defeating, agave,\n",
      "Nearest to 'when': but, agouti, was, six,\n",
      "Nearest to 'over': inappropriate, agouti, sponsors, attested,\n",
      "Nearest to 'were': are, was, had, is,\n",
      "\n",
      "Average loss at step  30000 :  5.969282798051834\n",
      "Nearest to 'they': he, it, not, there,\n",
      "Nearest to 'its': the, his, their, agave,\n",
      "Nearest to 'but': and, agouti, dasyprocta, sponsors,\n",
      "Nearest to 'while': argentine, agouti, caught, spalding,\n",
      "Nearest to 'zero': five, eight, six, nine,\n",
      "Nearest to 'world': dasyprocta, diels, aba, uses,\n",
      "Nearest to 'was': is, were, has, had,\n",
      "Nearest to 'three': six, seven, eight, four,\n",
      "Nearest to 's': and, two, his, zero,\n",
      "Nearest to 'no': formalism, antipope, frontal, travels,\n",
      "Nearest to 'known': selected, galatians, well, archduke,\n",
      "Nearest to 'most': var, antiprism, imperium, trees,\n",
      "Nearest to 'if': when, eagles, defeating, agave,\n",
      "Nearest to 'when': but, agouti, six, if,\n",
      "Nearest to 'over': inappropriate, agouti, sponsors, attested,\n",
      "Nearest to 'were': are, was, had, by,\n",
      "\n",
      "Average loss at step  32000 :  5.987811906814575\n",
      "Nearest to 'they': he, it, not, there,\n",
      "Nearest to 'its': the, their, his, agave,\n",
      "Nearest to 'but': and, agouti, dasyprocta, sponsors,\n",
      "Nearest to 'while': argentine, agouti, caught, spalding,\n",
      "Nearest to 'zero': eight, five, six, nine,\n",
      "Nearest to 'world': dasyprocta, diels, aba, agouti,\n",
      "Nearest to 'was': is, were, has, had,\n",
      "Nearest to 'three': seven, six, five, four,\n",
      "Nearest to 's': and, the, his, two,\n",
      "Nearest to 'no': formalism, antipope, frontal, travels,\n",
      "Nearest to 'known': selected, archduke, well, galatians,\n",
      "Nearest to 'most': var, antiprism, imperium, trees,\n",
      "Nearest to 'if': when, eagles, defeating, agave,\n",
      "Nearest to 'when': but, agouti, if, six,\n",
      "Nearest to 'over': inappropriate, agouti, sponsors, attested,\n",
      "Nearest to 'were': are, was, by, had,\n",
      "\n",
      "Average loss at step  34000 :  5.670014519453049\n",
      "Nearest to 'they': he, it, not, there,\n",
      "Nearest to 'its': the, their, his, agave,\n",
      "Nearest to 'but': and, agouti, however, dasyprocta,\n",
      "Nearest to 'while': argentine, agm, agouti, yeast,\n",
      "Nearest to 'zero': five, eight, six, three,\n",
      "Nearest to 'world': dasyprocta, diels, aba, agouti,\n",
      "Nearest to 'was': is, were, has, had,\n",
      "Nearest to 'three': six, seven, five, four,\n",
      "Nearest to 's': and, two, his, agouti,\n",
      "Nearest to 'no': courtesan, formalism, a, antipope,\n",
      "Nearest to 'known': well, archduke, selected, galatians,\n",
      "Nearest to 'most': antiprism, var, imperium, trees,\n",
      "Nearest to 'if': when, eagles, defeating, agave,\n",
      "Nearest to 'when': but, agouti, if, and,\n",
      "Nearest to 'over': inappropriate, agouti, sponsors, circumnavigate,\n",
      "Nearest to 'were': are, was, had, by,\n",
      "\n",
      "Average loss at step  36000 :  5.73351345050335\n",
      "Nearest to 'they': he, it, there, not,\n",
      "Nearest to 'its': the, their, his, agave,\n",
      "Nearest to 'but': and, agouti, dasyprocta, however,\n",
      "Nearest to 'while': albury, argentine, agm, agouti,\n",
      "Nearest to 'zero': eight, five, six, seven,\n",
      "Nearest to 'world': dasyprocta, diels, aba, uses,\n",
      "Nearest to 'was': is, were, has, had,\n",
      "Nearest to 'three': seven, four, six, five,\n",
      "Nearest to 's': and, the, his, agouti,\n",
      "Nearest to 'no': courtesan, formalism, antipope, frontal,\n",
      "Nearest to 'known': well, archduke, selected, galatians,\n",
      "Nearest to 'most': antiprism, var, imperium, trees,\n",
      "Nearest to 'if': when, eagles, defeating, agave,\n",
      "Nearest to 'when': but, agouti, and, if,\n",
      "Nearest to 'over': agouti, inappropriate, sponsors, albury,\n",
      "Nearest to 'were': are, was, had, by,\n",
      "\n",
      "Average loss at step  38000 :  5.512344720840454\n",
      "Nearest to 'they': he, it, there, not,\n",
      "Nearest to 'its': their, the, his, agave,\n",
      "Nearest to 'but': agouti, however, dasyprocta, and,\n",
      "Nearest to 'while': albury, argentine, agm, agouti,\n",
      "Nearest to 'zero': eight, five, six, four,\n",
      "Nearest to 'world': dasyprocta, diels, aba, uses,\n",
      "Nearest to 'was': is, were, has, had,\n",
      "Nearest to 'three': four, five, six, seven,\n",
      "Nearest to 's': the, and, his, agouti,\n",
      "Nearest to 'no': courtesan, formalism, antipope, a,\n",
      "Nearest to 'known': well, archduke, selected, wears,\n",
      "Nearest to 'most': antiprism, var, imperium, advice,\n",
      "Nearest to 'if': when, eagles, defeating, but,\n",
      "Nearest to 'when': but, agouti, if, six,\n",
      "Nearest to 'over': agouti, inappropriate, sponsors, circumnavigate,\n",
      "Nearest to 'were': are, was, had, is,\n",
      "\n",
      "Average loss at step  40000 :  5.278297510743141\n",
      "Nearest to 'they': he, it, there, not,\n",
      "Nearest to 'its': their, the, his, agave,\n",
      "Nearest to 'but': agouti, and, however, dasyprocta,\n",
      "Nearest to 'while': albury, argentine, agm, agouti,\n",
      "Nearest to 'zero': eight, five, six, four,\n",
      "Nearest to 'world': diels, dasyprocta, uses, aba,\n",
      "Nearest to 'was': is, were, has, had,\n",
      "Nearest to 'three': four, five, seven, six,\n",
      "Nearest to 's': his, zero, the, and,\n",
      "Nearest to 'no': courtesan, formalism, antipope, frontal,\n",
      "Nearest to 'known': well, archduke, selected, galatians,\n",
      "Nearest to 'most': antiprism, var, agouti, advice,\n",
      "Nearest to 'if': when, eagles, defeating, agave,\n",
      "Nearest to 'when': but, if, agouti, six,\n",
      "Nearest to 'over': inappropriate, agouti, sponsors, circumnavigate,\n",
      "Nearest to 'were': are, was, had, is,\n",
      "\n",
      "Average loss at step  42000 :  5.357700305461884\n",
      "Nearest to 'they': he, it, there, not,\n",
      "Nearest to 'its': their, his, the, agave,\n",
      "Nearest to 'but': and, agouti, however, dasyprocta,\n",
      "Nearest to 'while': albury, argentine, agm, agouti,\n",
      "Nearest to 'zero': five, eight, six, seven,\n",
      "Nearest to 'world': diels, dasyprocta, republic, uses,\n",
      "Nearest to 'was': is, were, has, had,\n",
      "Nearest to 'three': four, five, six, seven,\n",
      "Nearest to 's': his, and, agouti, dasyprocta,\n",
      "Nearest to 'no': courtesan, formalism, antipope, frontal,\n",
      "Nearest to 'known': well, archduke, selected, wears,\n",
      "Nearest to 'most': antiprism, var, advice, imperium,\n",
      "Nearest to 'if': when, eagles, defeating, agave,\n",
      "Nearest to 'when': agouti, but, if, six,\n",
      "Nearest to 'over': agouti, sponsors, inappropriate, albury,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  44000 :  5.232381311893463\n",
      "Nearest to 'they': he, it, there, not,\n",
      "Nearest to 'its': their, the, his, robeson,\n",
      "Nearest to 'but': and, agouti, however, sponsors,\n",
      "Nearest to 'while': albury, argentine, agouti, agm,\n",
      "Nearest to 'zero': eight, five, six, nine,\n",
      "Nearest to 'world': diels, dasyprocta, republic, aba,\n",
      "Nearest to 'was': is, were, has, had,\n",
      "Nearest to 'three': five, four, six, seven,\n",
      "Nearest to 's': his, and, the, three,\n",
      "Nearest to 'no': courtesan, formalism, antipope, frontal,\n",
      "Nearest to 'known': well, archduke, selected, wears,\n",
      "Nearest to 'most': antiprism, var, imperium, agouti,\n",
      "Nearest to 'if': when, eagles, defeating, agave,\n",
      "Nearest to 'when': if, agouti, but, six,\n",
      "Nearest to 'over': inappropriate, agouti, sponsors, circumnavigate,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  46000 :  5.245139038443566\n",
      "Nearest to 'they': he, there, it, you,\n",
      "Nearest to 'its': their, his, the, robeson,\n",
      "Nearest to 'but': and, agouti, however, dasyprocta,\n",
      "Nearest to 'while': albury, argentine, agouti, and,\n",
      "Nearest to 'zero': eight, five, six, nine,\n",
      "Nearest to 'world': dasyprocta, diels, agouti, aba,\n",
      "Nearest to 'was': is, were, has, had,\n",
      "Nearest to 'three': five, four, two, six,\n",
      "Nearest to 's': his, and, agouti, cyclic,\n",
      "Nearest to 'no': courtesan, formalism, a, antipope,\n",
      "Nearest to 'known': archduke, well, selected, wears,\n",
      "Nearest to 'most': antiprism, var, imperium, agouti,\n",
      "Nearest to 'if': when, eagles, defeating, but,\n",
      "Nearest to 'when': but, agouti, and, if,\n",
      "Nearest to 'over': agouti, sponsors, inappropriate, circumnavigate,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  48000 :  5.236904027938842\n",
      "Nearest to 'they': he, there, it, you,\n",
      "Nearest to 'its': their, his, the, robeson,\n",
      "Nearest to 'but': and, agouti, however, dasyprocta,\n",
      "Nearest to 'while': albury, argentine, agouti, since,\n",
      "Nearest to 'zero': eight, nine, six, five,\n",
      "Nearest to 'world': diels, dasyprocta, aba, uses,\n",
      "Nearest to 'was': is, were, had, has,\n",
      "Nearest to 'three': four, five, six, seven,\n",
      "Nearest to 's': his, and, zero, agouti,\n",
      "Nearest to 'no': courtesan, formalism, a, antipope,\n",
      "Nearest to 'known': well, archduke, selected, wears,\n",
      "Nearest to 'most': antiprism, var, agouti, imperium,\n",
      "Nearest to 'if': when, eagles, defeating, agave,\n",
      "Nearest to 'when': if, but, agouti, and,\n",
      "Nearest to 'over': inappropriate, agouti, sponsors, circumnavigate,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  50000 :  4.994686614632607\n",
      "Nearest to 'they': he, there, you, it,\n",
      "Nearest to 'its': their, his, the, robeson,\n",
      "Nearest to 'but': and, however, agouti, dasyprocta,\n",
      "Nearest to 'while': albury, argentine, agouti, for,\n",
      "Nearest to 'zero': eight, five, seven, six,\n",
      "Nearest to 'world': diels, dasyprocta, agouti, aba,\n",
      "Nearest to 'was': is, were, has, had,\n",
      "Nearest to 'three': four, five, seven, six,\n",
      "Nearest to 's': his, and, of, zero,\n",
      "Nearest to 'no': courtesan, formalism, antipope, a,\n",
      "Nearest to 'known': well, archduke, selected, wears,\n",
      "Nearest to 'most': antiprism, var, trees, imperium,\n",
      "Nearest to 'if': when, eagles, defeating, while,\n",
      "Nearest to 'when': if, and, but, agouti,\n",
      "Nearest to 'over': agouti, inappropriate, sponsors, circumnavigate,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  52000 :  5.025877690196038\n",
      "Nearest to 'they': he, there, you, it,\n",
      "Nearest to 'its': their, his, the, robeson,\n",
      "Nearest to 'but': and, however, agouti, dasyprocta,\n",
      "Nearest to 'while': albury, argentine, agouti, since,\n",
      "Nearest to 'zero': eight, five, nine, six,\n",
      "Nearest to 'world': diels, uses, dasyprocta, huggins,\n",
      "Nearest to 'was': is, were, has, had,\n",
      "Nearest to 'three': four, five, two, six,\n",
      "Nearest to 's': his, and, cyclic, of,\n",
      "Nearest to 'no': courtesan, formalism, antipope, a,\n",
      "Nearest to 'known': well, archduke, selected, wears,\n",
      "Nearest to 'most': antiprism, var, ursus, agouti,\n",
      "Nearest to 'if': when, but, defeating, while,\n",
      "Nearest to 'when': if, agouti, but, and,\n",
      "Nearest to 'over': agouti, inappropriate, sponsors, circumnavigate,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  54000 :  5.190672221302986\n",
      "Nearest to 'they': he, there, it, you,\n",
      "Nearest to 'its': their, his, the, robeson,\n",
      "Nearest to 'but': however, and, agouti, dasyprocta,\n",
      "Nearest to 'while': albury, argentine, agouti, since,\n",
      "Nearest to 'zero': eight, six, five, nine,\n",
      "Nearest to 'world': diels, uses, dasyprocta, republic,\n",
      "Nearest to 'was': is, were, has, had,\n",
      "Nearest to 'three': five, two, six, four,\n",
      "Nearest to 's': his, zero, cyclic, and,\n",
      "Nearest to 'no': courtesan, formalism, antipope, a,\n",
      "Nearest to 'known': well, archduke, selected, wears,\n",
      "Nearest to 'most': antiprism, more, var, ursus,\n",
      "Nearest to 'if': when, but, eagles, defeating,\n",
      "Nearest to 'when': if, but, agouti, and,\n",
      "Nearest to 'over': inappropriate, sponsors, agouti, circumnavigate,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  56000 :  5.068837879657745\n",
      "Nearest to 'they': he, there, you, it,\n",
      "Nearest to 'its': their, his, the, robeson,\n",
      "Nearest to 'but': however, and, agouti, dasyprocta,\n",
      "Nearest to 'while': albury, argentine, agouti, but,\n",
      "Nearest to 'zero': six, eight, five, seven,\n",
      "Nearest to 'world': diels, dasyprocta, uses, agouti,\n",
      "Nearest to 'was': is, has, were, had,\n",
      "Nearest to 'three': four, five, six, two,\n",
      "Nearest to 's': his, zero, cyclic, and,\n",
      "Nearest to 'no': courtesan, formalism, antipope, hounds,\n",
      "Nearest to 'known': well, archduke, selected, wears,\n",
      "Nearest to 'most': antiprism, more, var, trees,\n",
      "Nearest to 'if': when, but, while, eagles,\n",
      "Nearest to 'when': if, and, but, agouti,\n",
      "Nearest to 'over': inappropriate, sponsors, agouti, circumnavigate,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  58000 :  5.070266503095627\n",
      "Nearest to 'they': he, there, you, it,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, and, agouti, dasyprocta,\n",
      "Nearest to 'while': albury, argentine, agouti, although,\n",
      "Nearest to 'zero': six, eight, seven, five,\n",
      "Nearest to 'world': diels, dasyprocta, uses, republic,\n",
      "Nearest to 'was': is, has, had, were,\n",
      "Nearest to 'three': four, five, two, six,\n",
      "Nearest to 's': his, cyclic, and, zero,\n",
      "Nearest to 'no': courtesan, formalism, a, antipope,\n",
      "Nearest to 'known': well, archduke, selected, wears,\n",
      "Nearest to 'most': more, antiprism, var, trees,\n",
      "Nearest to 'if': when, but, while, defeating,\n",
      "Nearest to 'when': if, but, agouti, and,\n",
      "Nearest to 'over': agouti, sponsors, inappropriate, four,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  60000 :  4.939685839891434\n",
      "Nearest to 'they': he, there, you, it,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, agouti, and, dasyprocta,\n",
      "Nearest to 'while': albury, argentine, pulau, but,\n",
      "Nearest to 'zero': six, eight, seven, five,\n",
      "Nearest to 'world': diels, dasyprocta, uses, agouti,\n",
      "Nearest to 'was': is, had, has, were,\n",
      "Nearest to 'three': four, five, two, six,\n",
      "Nearest to 's': and, his, cyclic, agouti,\n",
      "Nearest to 'no': courtesan, formalism, antipope, hounds,\n",
      "Nearest to 'known': well, archduke, selected, wears,\n",
      "Nearest to 'most': antiprism, more, var, advice,\n",
      "Nearest to 'if': when, but, while, eagles,\n",
      "Nearest to 'when': if, but, agouti, six,\n",
      "Nearest to 'over': agouti, sponsors, inappropriate, five,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  62000 :  5.017626127123832\n",
      "Nearest to 'they': he, there, you, it,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, and, agouti, dasyprocta,\n",
      "Nearest to 'while': albury, argentine, pulau, but,\n",
      "Nearest to 'zero': eight, six, five, seven,\n",
      "Nearest to 'world': diels, dasyprocta, uses, republic,\n",
      "Nearest to 'was': is, had, has, were,\n",
      "Nearest to 'three': five, four, six, two,\n",
      "Nearest to 's': his, and, cyclic, agouti,\n",
      "Nearest to 'no': courtesan, formalism, antipope, hounds,\n",
      "Nearest to 'known': well, archduke, selected, wears,\n",
      "Nearest to 'most': more, antiprism, many, var,\n",
      "Nearest to 'if': when, while, but, eagles,\n",
      "Nearest to 'when': if, but, agouti, since,\n",
      "Nearest to 'over': agouti, sponsors, inappropriate, circumnavigate,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  64000 :  4.843605765998364\n",
      "Nearest to 'they': he, there, you, it,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, agouti, and, dasyprocta,\n",
      "Nearest to 'while': albury, pulau, agouti, argentine,\n",
      "Nearest to 'zero': eight, six, seven, five,\n",
      "Nearest to 'world': diels, dasyprocta, republic, uses,\n",
      "Nearest to 'was': is, had, has, were,\n",
      "Nearest to 'three': five, four, six, two,\n",
      "Nearest to 's': his, and, cyclic, agouti,\n",
      "Nearest to 'no': formalism, courtesan, antipope, keeping,\n",
      "Nearest to 'known': well, archduke, selected, wears,\n",
      "Nearest to 'most': more, antiprism, many, var,\n",
      "Nearest to 'if': when, while, but, eagles,\n",
      "Nearest to 'when': if, but, agouti, since,\n",
      "Nearest to 'over': agouti, sponsors, inappropriate, four,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  66000 :  4.587689897179604\n",
      "Nearest to 'they': he, there, you, it,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, agouti, and, dasyprocta,\n",
      "Nearest to 'while': albury, but, pulau, although,\n",
      "Nearest to 'zero': six, eight, seven, five,\n",
      "Nearest to 'world': diels, republic, dasyprocta, uses,\n",
      "Nearest to 'was': is, had, has, were,\n",
      "Nearest to 'three': five, four, six, two,\n",
      "Nearest to 's': his, cyclic, dasyprocta, agouti,\n",
      "Nearest to 'no': formalism, courtesan, antipope, keeping,\n",
      "Nearest to 'known': well, archduke, selected, wears,\n",
      "Nearest to 'most': upanija, more, antiprism, many,\n",
      "Nearest to 'if': when, while, but, eagles,\n",
      "Nearest to 'when': if, but, agouti, since,\n",
      "Nearest to 'over': agouti, inappropriate, sponsors, four,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  68000 :  4.9824735847711565\n",
      "Nearest to 'they': he, there, you, it,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, and, agouti, dasyprocta,\n",
      "Nearest to 'while': albury, thaler, but, although,\n",
      "Nearest to 'zero': eight, six, five, seven,\n",
      "Nearest to 'world': diels, dasyprocta, republic, uses,\n",
      "Nearest to 'was': is, had, has, were,\n",
      "Nearest to 'three': five, four, six, two,\n",
      "Nearest to 's': his, cyclic, zero, agouti,\n",
      "Nearest to 'no': formalism, courtesan, keeping, hounds,\n",
      "Nearest to 'known': well, archduke, selected, such,\n",
      "Nearest to 'most': more, many, upanija, antiprism,\n",
      "Nearest to 'if': when, while, defeating, but,\n",
      "Nearest to 'when': if, but, agouti, since,\n",
      "Nearest to 'over': agouti, inappropriate, sponsors, circumnavigate,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  70000 :  4.889037759780884\n",
      "Nearest to 'they': he, there, you, it,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, and, agouti, or,\n",
      "Nearest to 'while': albury, thaler, but, although,\n",
      "Nearest to 'zero': eight, five, six, seven,\n",
      "Nearest to 'world': diels, republic, dasyprocta, uses,\n",
      "Nearest to 'was': is, had, has, were,\n",
      "Nearest to 'three': five, four, six, eight,\n",
      "Nearest to 's': his, and, cyclic, refueling,\n",
      "Nearest to 'no': formalism, courtesan, antipope, keeping,\n",
      "Nearest to 'known': well, archduke, selected, such,\n",
      "Nearest to 'most': more, upanija, antiprism, many,\n",
      "Nearest to 'if': when, while, but, though,\n",
      "Nearest to 'when': if, but, agouti, since,\n",
      "Nearest to 'over': agouti, inappropriate, sponsors, circumnavigate,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  72000 :  4.7428207352161404\n",
      "Nearest to 'they': he, there, you, it,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, and, agouti, dasyprocta,\n",
      "Nearest to 'while': albury, but, thaler, although,\n",
      "Nearest to 'zero': eight, five, six, seven,\n",
      "Nearest to 'world': diels, dasyprocta, republic, agouti,\n",
      "Nearest to 'was': is, had, has, were,\n",
      "Nearest to 'three': five, four, six, two,\n",
      "Nearest to 's': his, and, cyclic, agouti,\n",
      "Nearest to 'no': formalism, courtesan, accumulator, antipope,\n",
      "Nearest to 'known': well, archduke, such, selected,\n",
      "Nearest to 'most': more, upanija, antiprism, many,\n",
      "Nearest to 'if': when, while, though, defeating,\n",
      "Nearest to 'when': if, agouti, but, since,\n",
      "Nearest to 'over': agouti, inappropriate, sponsors, circumnavigate,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  74000 :  4.812519575595855\n",
      "Nearest to 'they': he, there, you, it,\n",
      "Nearest to 'its': their, the, his, michelob,\n",
      "Nearest to 'but': however, and, agouti, dasyprocta,\n",
      "Nearest to 'while': albury, thaler, but, although,\n",
      "Nearest to 'zero': five, eight, six, four,\n",
      "Nearest to 'world': diels, republic, dasyprocta, huggins,\n",
      "Nearest to 'was': is, had, has, were,\n",
      "Nearest to 'three': five, four, six, two,\n",
      "Nearest to 's': his, and, cyclic, agouti,\n",
      "Nearest to 'no': courtesan, formalism, a, antipope,\n",
      "Nearest to 'known': well, archduke, such, selected,\n",
      "Nearest to 'most': more, upanija, antiprism, many,\n",
      "Nearest to 'if': when, while, defeating, for,\n",
      "Nearest to 'when': if, but, agouti, because,\n",
      "Nearest to 'over': inappropriate, agouti, circumnavigate, sponsors,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  76000 :  4.722892417430877\n",
      "Nearest to 'they': he, there, you, we,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, agouti, and, dasyprocta,\n",
      "Nearest to 'while': albury, but, thaler, although,\n",
      "Nearest to 'zero': eight, five, six, four,\n",
      "Nearest to 'world': diels, dasyprocta, huggins, agouti,\n",
      "Nearest to 'was': is, had, were, has,\n",
      "Nearest to 'three': five, four, six, two,\n",
      "Nearest to 's': his, cyclic, refueling, orchid,\n",
      "Nearest to 'no': courtesan, formalism, a, antipope,\n",
      "Nearest to 'known': well, archduke, such, selected,\n",
      "Nearest to 'most': more, upanija, antiprism, many,\n",
      "Nearest to 'if': when, while, defeating, agave,\n",
      "Nearest to 'when': if, but, agouti, because,\n",
      "Nearest to 'over': agouti, inappropriate, sponsors, circumnavigate,\n",
      "Nearest to 'were': are, was, had, have,\n",
      "\n",
      "Average loss at step  78000 :  4.784711600631476\n",
      "Nearest to 'they': he, there, you, we,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, agouti, and, dasyprocta,\n",
      "Nearest to 'while': albury, but, thaler, although,\n",
      "Nearest to 'zero': five, eight, six, seven,\n",
      "Nearest to 'world': diels, dasyprocta, agouti, republic,\n",
      "Nearest to 'was': is, had, were, has,\n",
      "Nearest to 'three': five, six, four, two,\n",
      "Nearest to 's': his, cyclic, agouti, dasyprocta,\n",
      "Nearest to 'no': courtesan, formalism, antipope, a,\n",
      "Nearest to 'known': well, archduke, used, such,\n",
      "Nearest to 'most': more, many, upanija, antiprism,\n",
      "Nearest to 'if': when, while, defeating, though,\n",
      "Nearest to 'when': if, but, because, agouti,\n",
      "Nearest to 'over': agouti, inappropriate, sponsors, circumnavigate,\n",
      "Nearest to 'were': are, had, was, have,\n",
      "\n",
      "Average loss at step  80000 :  4.792739159703254\n",
      "Nearest to 'they': he, there, you, we,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, and, agouti, dasyprocta,\n",
      "Nearest to 'while': but, albury, although, thaler,\n",
      "Nearest to 'zero': five, four, six, eight,\n",
      "Nearest to 'world': diels, iit, dasyprocta, republic,\n",
      "Nearest to 'was': is, had, were, has,\n",
      "Nearest to 'three': five, six, four, two,\n",
      "Nearest to 's': his, busan, cyclic, zero,\n",
      "Nearest to 'no': courtesan, formalism, antipope, hounds,\n",
      "Nearest to 'known': well, archduke, used, such,\n",
      "Nearest to 'most': more, many, upanija, antiprism,\n",
      "Nearest to 'if': when, though, defeating, eagles,\n",
      "Nearest to 'when': if, agouti, because, but,\n",
      "Nearest to 'over': agouti, sponsors, inappropriate, determinative,\n",
      "Nearest to 'were': are, had, was, have,\n",
      "\n",
      "Average loss at step  82000 :  4.755909363150597\n",
      "Nearest to 'they': he, there, you, we,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, and, agouti, dasyprocta,\n",
      "Nearest to 'while': but, albury, although, thaler,\n",
      "Nearest to 'zero': eight, five, four, six,\n",
      "Nearest to 'world': diels, iit, dasyprocta, huggins,\n",
      "Nearest to 'was': is, had, were, has,\n",
      "Nearest to 'three': five, six, four, two,\n",
      "Nearest to 's': busan, his, agouti, zero,\n",
      "Nearest to 'no': courtesan, formalism, antipope, accumulator,\n",
      "Nearest to 'known': well, archduke, used, such,\n",
      "Nearest to 'most': more, many, upanija, some,\n",
      "Nearest to 'if': when, though, while, where,\n",
      "Nearest to 'when': if, agouti, because, since,\n",
      "Nearest to 'over': agouti, inappropriate, sponsors, determinative,\n",
      "Nearest to 'were': are, had, was, have,\n",
      "\n",
      "Average loss at step  84000 :  4.745693093180656\n",
      "Nearest to 'they': he, there, you, we,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, and, agouti, or,\n",
      "Nearest to 'while': but, albury, although, however,\n",
      "Nearest to 'zero': five, eight, six, seven,\n",
      "Nearest to 'world': diels, iit, dasyprocta, huggins,\n",
      "Nearest to 'was': is, had, were, has,\n",
      "Nearest to 'three': five, four, six, two,\n",
      "Nearest to 's': his, busan, zero, agouti,\n",
      "Nearest to 'no': formalism, courtesan, antipope, accumulator,\n",
      "Nearest to 'known': well, archduke, used, such,\n",
      "Nearest to 'most': more, many, some, upanija,\n",
      "Nearest to 'if': when, though, while, defeating,\n",
      "Nearest to 'when': if, agouti, but, where,\n",
      "Nearest to 'over': agouti, sponsors, inappropriate, duplicates,\n",
      "Nearest to 'were': are, had, was, have,\n",
      "\n",
      "Average loss at step  86000 :  4.773068067908287\n",
      "Nearest to 'they': he, there, you, we,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, and, agouti, which,\n",
      "Nearest to 'while': but, albury, although, however,\n",
      "Nearest to 'zero': five, eight, six, seven,\n",
      "Nearest to 'world': iit, diels, dasyprocta, agouti,\n",
      "Nearest to 'was': is, had, were, has,\n",
      "Nearest to 'three': four, five, two, six,\n",
      "Nearest to 's': busan, his, five, agouti,\n",
      "Nearest to 'no': courtesan, formalism, antipope, a,\n",
      "Nearest to 'known': well, used, archduke, such,\n",
      "Nearest to 'most': more, many, upanija, some,\n",
      "Nearest to 'if': when, though, while, agave,\n",
      "Nearest to 'when': if, agouti, but, after,\n",
      "Nearest to 'over': agouti, duplicates, sponsors, determinative,\n",
      "Nearest to 'were': are, had, was, have,\n",
      "\n",
      "Average loss at step  88000 :  4.754999238729477\n",
      "Nearest to 'they': there, he, you, we,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, and, agouti, which,\n",
      "Nearest to 'while': but, although, albury, and,\n",
      "Nearest to 'zero': five, eight, seven, six,\n",
      "Nearest to 'world': diels, iit, huggins, dasyprocta,\n",
      "Nearest to 'was': is, had, were, has,\n",
      "Nearest to 'three': four, five, two, six,\n",
      "Nearest to 's': his, busan, agouti, dasyprocta,\n",
      "Nearest to 'no': formalism, courtesan, antipope, accumulator,\n",
      "Nearest to 'known': well, used, archduke, such,\n",
      "Nearest to 'most': more, many, some, upanija,\n",
      "Nearest to 'if': when, though, while, where,\n",
      "Nearest to 'when': if, agouti, where, but,\n",
      "Nearest to 'over': agouti, determinative, duplicates, sponsors,\n",
      "Nearest to 'were': are, had, was, have,\n",
      "\n",
      "Average loss at step  90000 :  4.750420444846153\n",
      "Nearest to 'they': he, there, you, we,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, and, agouti, which,\n",
      "Nearest to 'while': but, however, albury, although,\n",
      "Nearest to 'zero': five, eight, seven, six,\n",
      "Nearest to 'world': diels, iit, huggins, dasyprocta,\n",
      "Nearest to 'was': is, had, has, were,\n",
      "Nearest to 'three': five, four, two, six,\n",
      "Nearest to 's': his, and, busan, agouti,\n",
      "Nearest to 'no': courtesan, formalism, any, antipope,\n",
      "Nearest to 'known': well, used, archduke, such,\n",
      "Nearest to 'most': more, many, some, upanija,\n",
      "Nearest to 'if': when, though, while, where,\n",
      "Nearest to 'when': if, after, because, where,\n",
      "Nearest to 'over': agouti, determinative, sponsors, duplicates,\n",
      "Nearest to 'were': are, had, have, was,\n",
      "\n",
      "Average loss at step  92000 :  4.6628129469156265\n",
      "Nearest to 'they': there, he, you, we,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, and, agouti, or,\n",
      "Nearest to 'while': but, however, although, albury,\n",
      "Nearest to 'zero': five, eight, seven, six,\n",
      "Nearest to 'world': iit, diels, dasyprocta, huggins,\n",
      "Nearest to 'was': is, had, has, were,\n",
      "Nearest to 'three': five, two, four, seven,\n",
      "Nearest to 's': his, busan, and, agouti,\n",
      "Nearest to 'no': courtesan, formalism, any, antipope,\n",
      "Nearest to 'known': well, used, archduke, such,\n",
      "Nearest to 'most': more, many, some, upanija,\n",
      "Nearest to 'if': when, though, while, where,\n",
      "Nearest to 'when': if, after, because, agouti,\n",
      "Nearest to 'over': determinative, agouti, sponsors, duplicates,\n",
      "Nearest to 'were': are, had, have, was,\n",
      "\n",
      "Average loss at step  94000 :  4.721879860758781\n",
      "Nearest to 'they': there, he, we, you,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, and, agouti, which,\n",
      "Nearest to 'while': but, although, however, albury,\n",
      "Nearest to 'zero': seven, eight, five, six,\n",
      "Nearest to 'world': diels, iit, dasyprocta, huggins,\n",
      "Nearest to 'was': is, had, has, were,\n",
      "Nearest to 'three': five, two, four, seven,\n",
      "Nearest to 's': his, busan, and, agouti,\n",
      "Nearest to 'no': courtesan, formalism, any, accumulator,\n",
      "Nearest to 'known': well, used, archduke, such,\n",
      "Nearest to 'most': more, many, some, upanija,\n",
      "Nearest to 'if': when, though, where, while,\n",
      "Nearest to 'when': if, agouti, after, because,\n",
      "Nearest to 'over': determinative, sponsors, duplicates, agouti,\n",
      "Nearest to 'were': are, had, have, was,\n",
      "\n",
      "Average loss at step  96000 :  4.696141667485237\n",
      "Nearest to 'they': there, he, we, you,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, and, agouti, or,\n",
      "Nearest to 'while': but, however, although, albury,\n",
      "Nearest to 'zero': eight, five, six, seven,\n",
      "Nearest to 'world': iit, dasyprocta, diels, huggins,\n",
      "Nearest to 'was': is, had, has, were,\n",
      "Nearest to 'three': five, four, two, six,\n",
      "Nearest to 's': his, and, busan, agouti,\n",
      "Nearest to 'no': any, courtesan, formalism, accumulator,\n",
      "Nearest to 'known': well, used, archduke, such,\n",
      "Nearest to 'most': more, many, some, upanija,\n",
      "Nearest to 'if': when, though, where, while,\n",
      "Nearest to 'when': if, because, after, agouti,\n",
      "Nearest to 'over': determinative, agouti, sponsors, duplicates,\n",
      "Nearest to 'were': are, had, was, have,\n",
      "\n",
      "Average loss at step  98000 :  4.596550449848175\n",
      "Nearest to 'they': he, there, you, we,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, and, agouti, which,\n",
      "Nearest to 'while': but, however, although, albury,\n",
      "Nearest to 'zero': eight, five, seven, six,\n",
      "Nearest to 'world': iit, diels, dasyprocta, huggins,\n",
      "Nearest to 'was': is, has, had, were,\n",
      "Nearest to 'three': five, four, two, six,\n",
      "Nearest to 's': busan, agouti, dasyprocta, his,\n",
      "Nearest to 'no': courtesan, any, formalism, accumulator,\n",
      "Nearest to 'known': used, well, archduke, such,\n",
      "Nearest to 'most': more, many, some, upanija,\n",
      "Nearest to 'if': when, though, while, where,\n",
      "Nearest to 'when': if, after, because, agouti,\n",
      "Nearest to 'over': determinative, sponsors, agouti, benchers,\n",
      "Nearest to 'were': are, had, have, was,\n",
      "\n",
      "Average loss at step  100000 :  4.6995703723430635\n",
      "Nearest to 'they': he, there, you, we,\n",
      "Nearest to 'its': their, his, the, michelob,\n",
      "Nearest to 'but': however, and, agouti, thaler,\n",
      "Nearest to 'while': but, however, although, albury,\n",
      "Nearest to 'zero': eight, five, seven, nine,\n",
      "Nearest to 'world': iit, dasyprocta, diels, huggins,\n",
      "Nearest to 'was': is, had, has, were,\n",
      "Nearest to 'three': five, four, two, seven,\n",
      "Nearest to 's': his, busan, agouti, cyclic,\n",
      "Nearest to 'no': any, courtesan, formalism, accumulator,\n",
      "Nearest to 'known': used, well, such, archduke,\n",
      "Nearest to 'most': more, many, some, upanija,\n",
      "Nearest to 'if': when, though, while, where,\n",
      "Nearest to 'when': if, after, because, where,\n",
      "Nearest to 'over': determinative, agouti, sponsors, benchers,\n",
      "Nearest to 'were': are, had, have, was,\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num_steps = 100_001 #1 #2_001 #100_001\n",
    "\n",
    "with v1.Session(graph=graph) as session:\n",
    "    # We must initialize all variables before we use them.\n",
    "    init.run()\n",
    "    print(\"Initialized\")\n",
    "\n",
    "    average_loss = 0\n",
    "    for step in range(num_steps):\n",
    "        batch_inputs, batch_labels = generate_batch(\n",
    "            batch_size, num_skips, skip_window)\n",
    "        feed_dict = {train_inputs : batch_inputs, train_labels : batch_labels}\n",
    "\n",
    "        # We perform one update step by evaluating the optimizer op (including it\n",
    "        # in the list of returned values for session.run()\n",
    "        _, loss_val = session.run([optimizer, loss], feed_dict=feed_dict)\n",
    "        average_loss += loss_val\n",
    "\n",
    "        if step % 2_000 == 0:\n",
    "            if step > 0:\n",
    "                average_loss /= 2000\n",
    "            # The average loss is an estimate of the loss over the last 2000 batches.\n",
    "            print(\"Average loss at step \", step, \": \", average_loss)\n",
    "            average_loss = 0\n",
    "\n",
    "        # Note that this is expensive (~20% slowdown if computed every 500 steps)\n",
    "        if step % 2_000 == 0:\n",
    "            sim = similarity.eval()\n",
    "            for i in range(valid_size):\n",
    "                valid_word = reverse_dictionary[valid_examples[i]]\n",
    "                top_k = 4 # number of nearest neighbors\n",
    "                nearest = (-sim[i, :]).argsort()[1:top_k+1]\n",
    "                log_str = \"Nearest to '%s':\" % valid_word\n",
    "                for k in range(top_k):\n",
    "                    close_word = reverse_dictionary[nearest[k]]\n",
    "                    log_str = \"%s %s,\" % (log_str, close_word)\n",
    "                print(log_str)\n",
    "            print()\n",
    "    final_embeddings = normalized_embeddings.eval()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center><img src=\"../images/watiing.jpg\" width=\"700\"/></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----\n",
    "Step 6: Visualize the embeddings with t-SNE.\n",
    "----\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this step, we use the t-SNE algorithm to reduce the dimensionality of the learned word embeddings for visualization. \n",
    "\n",
    "The top 500 words (based on frequency) are plotted in a 2D space, allowing us to visually inspect the relationships and groupings among words. \n",
    "\n",
    "This visualization is a powerful tool to understand how well the model has learned semantic relationships."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tsne = TSNE(perplexity=30, \n",
    "            n_components=2, \n",
    "            init='pca', \n",
    "            n_iter=5_000)\n",
    "plot_only = 500\n",
    "low_dim_embs = tsne.fit_transform(final_embeddings[:plot_only,:])\n",
    "labels = [reverse_dictionary[i] for i in range(plot_only)]\n",
    "\n",
    "n_words_to_visualize = 40\n",
    "\n",
    "for i, label in enumerate(labels[:n_words_to_visualize]):\n",
    "        x, y = low_dim_embs[i,:]\n",
    "        plt.scatter(x, y)\n",
    "        plt.annotate(label,\n",
    "                     xy=(x, y),\n",
    "                     xytext=(5, 2),\n",
    "                     textcoords='offset points',\n",
    "                     ha='right',\n",
    "                     va='bottom')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "------\n",
    "\n",
    "# Let's render and plot more samples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def plot_with_labels(low_dim_embs, labels, filename='../images/tsne.png'):\n",
    "    assert low_dim_embs.shape[0] >= len(labels), \"More labels than embeddings\"\n",
    "    plt.figure(figsize=(18, 18))  #in inches\n",
    "    for i, label in enumerate(labels):\n",
    "        x, y = low_dim_embs[i,:]\n",
    "        plt.scatter(x, y)\n",
    "        plt.annotate(label,\n",
    "                     xy=(x, y),\n",
    "                     xytext=(5, 2),\n",
    "                     textcoords='offset points',\n",
    "                     ha='right',\n",
    "                     va='bottom')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tsne = TSNE(perplexity=30, n_components=2, init='pca', n_iter=5000)\n",
    "plot_only = 500\n",
    "low_dim_embs = tsne.fit_transform(final_embeddings[:plot_only,:])\n",
    "labels = [reverse_dictionary[i] for i in range(plot_only)]\n",
    "plot_with_labels(low_dim_embs, labels)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# And voila!\n",
    "\n",
    "Now you have a visual understanding of embeddings."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Thank you for following this tutorial!"
   ]
  }
 ],
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