Recurrent Neural Networks/Word2Vec/Negative_Sampling_Exercise.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Skip-gram Word2Vec\n",
    "\n",
    "In this notebook, I'll lead you through using PyTorch to implement the [Word2Vec algorithm](https://en.wikipedia.org/wiki/Word2vec) using the skip-gram architecture. By implementing this, you'll learn about embedding words for use in natural language processing. This will come in handy when dealing with things like machine translation.\n",
    "\n",
    "## Readings\n",
    "\n",
    "Here are the resources I used to build this notebook. I suggest reading these either beforehand or while you're working on this material.\n",
    "\n",
    "* A really good [conceptual overview](http://mccormickml.com/2016/04/19/word2vec-tutorial-the-skip-gram-model/) of Word2Vec from Chris McCormick \n",
    "* [First Word2Vec paper](https://arxiv.org/pdf/1301.3781.pdf) from Mikolov et al.\n",
    "* [Neural Information Processing Systems, paper](http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf) with improvements for Word2Vec also from Mikolov et al.\n",
    "\n",
    "---\n",
    "## Word embeddings\n",
    "\n",
    "When you're dealing with words in text, you end up with tens of thousands of word classes to analyze; one for each word in a vocabulary. Trying to one-hot encode these words is massively inefficient because most values in a one-hot vector will be set to zero. So, the matrix multiplication that happens in between a one-hot input vector and a first, hidden layer will result in mostly zero-valued hidden outputs.\n",
    "\n",
    "To solve this problem and greatly increase the efficiency of our networks, we use what are called **embeddings**. Embeddings are just a fully connected layer like you've seen before. We call this layer the embedding layer and the weights are embedding weights. We skip the multiplication into the embedding layer by instead directly grabbing the hidden layer values from the weight matrix. We can do this because the multiplication of a one-hot encoded vector with a matrix returns the row of the matrix corresponding the index of the \"on\" input unit.\n",
    "\n",
    "<img src='assets/lookup_matrix.png' width=50%>\n",
    "\n",
    "Instead of doing the matrix multiplication, we use the weight matrix as a lookup table. We encode the words as integers, for example \"heart\" is encoded as 958, \"mind\" as 18094. Then to get hidden layer values for \"heart\", you just take the 958th row of the embedding matrix. This process is called an **embedding lookup** and the number of hidden units is the **embedding dimension**.\n",
    " \n",
    "There is nothing magical going on here. The embedding lookup table is just a weight matrix. The embedding layer is just a hidden layer. The lookup is just a shortcut for the matrix multiplication. The lookup table is trained just like any weight matrix.\n",
    "\n",
    "Embeddings aren't only used for words of course. You can use them for any model where you have a massive number of classes. A particular type of model called **Word2Vec** uses the embedding layer to find vector representations of words that contain semantic meaning."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## Word2Vec\n",
    "\n",
    "The Word2Vec algorithm finds much more efficient representations by finding vectors that represent the words. These vectors also contain semantic information about the words.\n",
    "\n",
    "<img src=\"assets/context_drink.png\" width=40%>\n",
    "\n",
    "Words that show up in similar **contexts**, such as \"coffee\", \"tea\", and \"water\" will have vectors near each other. Different words will be further away from one another, and relationships can be represented by distance in vector space.\n",
    "\n",
    "\n",
    "There are two architectures for implementing Word2Vec:\n",
    ">* CBOW (Continuous Bag-Of-Words) and \n",
    "* Skip-gram\n",
    "\n",
    "<img src=\"assets/word2vec_architectures.png\" width=60%>\n",
    "\n",
    "In this implementation, we'll be using the **skip-gram architecture** with **negative sampling** because it performs better than CBOW and trains faster with negative sampling. Here, we pass in a word and try to predict the words surrounding it in the text. In this way, we can train the network to learn representations for words that show up in similar contexts."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## Loading Data\n",
    "\n",
    "Next, we'll ask you to load in data and place it in the `data` directory\n",
    "\n",
    "1. Load the [text8 dataset](https://s3.amazonaws.com/video.udacity-data.com/topher/2018/October/5bbe6499_text8/text8.zip); a file of cleaned up *Wikipedia article text* from Matt Mahoney. \n",
    "2. Place that data in the `data` folder in the home directory.\n",
    "3. Then you can extract it and delete the archive, zip file to save storage space.\n",
    "\n",
    "After following these steps, you should have one file in your data directory: `data/text8`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " anarchism originated as a term of abuse first used against early working class radicals including t\n"
     ]
    }
   ],
   "source": [
    "# read in the extracted text file      \n",
    "with open('data/text8') as f:\n",
    "    text = f.read()\n",
    "\n",
    "# print out the first 100 characters\n",
    "print(text[:100])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pre-processing\n",
    "\n",
    "Here I'm fixing up the text to make training easier. This comes from the `utils.py` file. The `preprocess` function does a few things:\n",
    ">* It converts any punctuation into tokens, so a period is changed to ` <PERIOD> `. In this data set, there aren't any periods, but it will help in other NLP problems. \n",
    "* It removes all words that show up five or *fewer* times in the dataset. This will greatly reduce issues due to noise in the data and improve the quality of the vector representations. \n",
    "* It returns a list of words in the text.\n",
    "\n",
    "This may take a few seconds to run, since our text file is quite large. If you want to write your own functions for this stuff, go for it!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['anarchism', 'originated', 'as', 'a', 'term', 'of', 'abuse', 'first', 'used', 'against', 'early', 'working', 'class', 'radicals', 'including', 'the', 'diggers', 'of', 'the', 'english', 'revolution', 'and', 'the', 'sans', 'culottes', 'of', 'the', 'french', 'revolution', 'whilst']\n"
     ]
    }
   ],
   "source": [
    "import utils\n",
    "\n",
    "# get list of words\n",
    "words = utils.preprocess(text)\n",
    "print(words[:30])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total words in text: 16680599\n",
      "Unique words: 63641\n"
     ]
    }
   ],
   "source": [
    "# print some stats about this word data\n",
    "print(\"Total words in text: {}\".format(len(words)))\n",
    "print(\"Unique words: {}\".format(len(set(words)))) # `set` removes any duplicate words"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dictionaries\n",
    "\n",
    "Next, I'm creating two dictionaries to convert words to integers and back again (integers to words). This is again done with a function in the `utils.py` file. `create_lookup_tables` takes in a list of words in a text and returns two dictionaries.\n",
    ">* The integers are assigned in descending frequency order, so the most frequent word (\"the\") is given the integer 0 and the next most frequent is 1, and so on. \n",
    "\n",
    "Once we have our dictionaries, the words are converted to integers and stored in the list `int_words`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5233, 3080, 11, 5, 194, 1, 3133, 45, 58, 155, 127, 741, 476, 10571, 133, 0, 27349, 1, 0, 102, 854, 2, 0, 15067, 58112, 1, 0, 150, 854, 3580]\n"
     ]
    }
   ],
   "source": [
    "vocab_to_int, int_to_vocab = utils.create_lookup_tables(words)\n",
    "int_words = [vocab_to_int[word] for word in words]\n",
    "\n",
    "print(int_words[:30])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Subsampling\n",
    "\n",
    "Words that show up often such as \"the\", \"of\", and \"for\" don't provide much context to the nearby words. If we discard some of them, we can remove some of the noise from our data and in return get faster training and better representations. This process is called subsampling by Mikolov. For each word $w_i$ in the training set, we'll discard it with probability given by \n",
    "\n",
    "$$ P(w_i) = 1 - \\sqrt{\\frac{t}{f(w_i)}} $$\n",
    "\n",
    "where $t$ is a threshold parameter and $f(w_i)$ is the frequency of word $w_i$ in the total dataset.\n",
    "\n",
    "> Implement subsampling for the words in `int_words`. That is, go through `int_words` and discard each word given the probablility $P(w_i)$ shown above. Note that $P(w_i)$ is the probability that a word is discarded. Assign the subsampled data to `train_words`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[11, 127, 10571, 27349, 15067, 58112, 10712, 1324, 708, 539, 1423, 686, 7088, 320, 44611, 2877, 792, 5233, 2621, 25, 8983, 4147, 6437, 4860, 6753, 7573, 566, 11064, 7088, 89]\n"
     ]
    }
   ],
   "source": [
    "from collections import Counter\n",
    "import random\n",
    "import numpy as np\n",
    "\n",
    "threshold = 1e-5\n",
    "word_counts = Counter(int_words)\n",
    "#print(list(word_counts.items())[0])  # dictionary of int_words, how many times they appear\n",
    "\n",
    "total_count = len(int_words)\n",
    "freqs = {word: count/total_count for word, count in word_counts.items()}\n",
    "p_drop = {word: 1 - np.sqrt(threshold/freqs[word]) for word in word_counts}\n",
    "# discard some frequent words, according to the subsampling equation\n",
    "# create a new list of words for training\n",
    "train_words = [word for word in int_words if random.random() < (1 - p_drop[word])]\n",
    "\n",
    "print(train_words[:30])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Making batches"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that our data is in good shape, we need to get it into the proper form to pass it into our network. With the skip-gram architecture, for each word in the text, we want to define a surrounding _context_ and grab all the words in a window around that word, with size $C$. \n",
    "\n",
    "From [Mikolov et al.](https://arxiv.org/pdf/1301.3781.pdf): \n",
    "\n",
    "\"Since the more distant words are usually less related to the current word than those close to it, we give less weight to the distant words by sampling less from those words in our training examples... If we choose $C = 5$, for each training word we will select randomly a number $R$ in range $[ 1: C ]$, and then use $R$ words from history and $R$ words from the future of the current word as correct labels.\"\n",
    "\n",
    "> **Exercise:** Implement a function `get_target` that receives a list of words, an index, and a window size, then returns a list of words in the window around the index. Make sure to use the algorithm described above, where you chose a random number of words to from the window.\n",
    "\n",
    "Say, we have an input and we're interested in the idx=2 token, `741`: \n",
    "```\n",
    "[5233, 58, 741, 10571, 27349, 0, 15067, 58112, 3580, 58, 10712]\n",
    "```\n",
    "\n",
    "For `R=2`, `get_target` should return a list of four values:\n",
    "```\n",
    "[5233, 58, 10571, 27349]\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_target(words, idx, window_size=5):\n",
    "    ''' Get a list of words in a window around an index. '''\n",
    "    \n",
    "    R = np.random.randint(1, window_size+1)\n",
    "    start = idx - R if (idx - R) > 0 else 0\n",
    "    stop = idx + R\n",
    "    target_words = words[start:idx] + words[idx+1:stop+1]\n",
    "    \n",
    "    return list(target_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Input:  [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\n",
      "Target:  [1, 2, 3, 4, 6, 7, 8, 9]\n"
     ]
    }
   ],
   "source": [
    "# test your code!\n",
    "\n",
    "# run this cell multiple times to check for random window selection\n",
    "int_text = [i for i in range(10)]\n",
    "print('Input: ', int_text)\n",
    "idx=5 # word index of interest\n",
    "\n",
    "target = get_target(int_text, idx=idx, window_size=5)\n",
    "print('Target: ', target)  # you should get some indices around the idx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Generating Batches \n",
    "\n",
    "Here's a generator function that returns batches of input and target data for our model, using the `get_target` function from above. The idea is that it grabs `batch_size` words from a words list. Then for each of those batches, it gets the target words in a window."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_batches(words, batch_size, window_size=5):\n",
    "    ''' Create a generator of word batches as a tuple (inputs, targets) '''\n",
    "    \n",
    "    n_batches = len(words)//batch_size\n",
    "    \n",
    "    # only full batches\n",
    "    words = words[:n_batches*batch_size]\n",
    "    \n",
    "    for idx in range(0, len(words), batch_size):\n",
    "        x, y = [], []\n",
    "        batch = words[idx:idx+batch_size]\n",
    "        for ii in range(len(batch)):\n",
    "            batch_x = batch[ii]\n",
    "            batch_y = get_target(batch, ii, window_size)\n",
    "            y.extend(batch_y)\n",
    "            x.extend([batch_x]*len(batch_y))\n",
    "        yield x, y\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x\n",
      " [0, 0, 0, 1, 1, 1, 2, 2, 2, 3, 3, 3]\n",
      "y\n",
      " [1, 2, 3, 0, 2, 3, 0, 1, 3, 0, 1, 2]\n"
     ]
    }
   ],
   "source": [
    "int_text = [i for i in range(20)]\n",
    "x,y = next(get_batches(int_text, batch_size=4, window_size=5))\n",
    "\n",
    "print('x\\n', x)\n",
    "print('y\\n', y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## Validation\n",
    "\n",
    "Here, I'm creating a function that will help us observe our model as it learns. We're going to choose a few common words and few uncommon words. Then, we'll print out the closest words to them using the cosine similarity: \n",
    "\n",
    "<img src=\"assets/vector_distance.png\" width=30%>\n",
    "\n",
    "$$\n",
    "\\mathrm{similarity} = \\cos(\\theta) = \\frac{\\vec{a} \\cdot \\vec{b}}{|\\vec{a}||\\vec{b}|}\n",
    "$$\n",
    "\n",
    "\n",
    "We can encode the validation words as vectors $\\vec{a}$ using the embedding table, then calculate the similarity with each word vector $\\vec{b}$ in the embedding table. With the similarities, we can print out the validation words and words in our embedding table semantically similar to those words. It's a nice way to check that our embedding table is grouping together words with similar semantic meanings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cosine_similarity(embedding, valid_size=16, valid_window=100, device='cpu'):\n",
    "    \"\"\" Returns the cosine similarity of validation words with words in the embedding matrix.\n",
    "        Here, embedding should be a PyTorch embedding module.\n",
    "    \"\"\"\n",
    "    \n",
    "    # Here we're calculating the cosine similarity between some random words and \n",
    "    # our embedding vectors. With the similarities, we can look at what words are\n",
    "    # close to our random words.\n",
    "    \n",
    "    # sim = (a . b) / |a||b|\n",
    "    \n",
    "    embed_vectors = embedding.weight\n",
    "    \n",
    "    # magnitude of embedding vectors, |b|\n",
    "    magnitudes = embed_vectors.pow(2).sum(dim=1).sqrt().unsqueeze(0)\n",
    "    \n",
    "    # pick N words from our ranges (0,window) and (1000,1000+window). lower id implies more frequent \n",
    "    valid_examples = np.array(random.sample(range(valid_window), valid_size//2))\n",
    "    valid_examples = np.append(valid_examples,\n",
    "                               random.sample(range(1000,1000+valid_window), valid_size//2))\n",
    "    valid_examples = torch.LongTensor(valid_examples).to(device)\n",
    "    \n",
    "    valid_vectors = embedding(valid_examples)\n",
    "    similarities = torch.mm(valid_vectors, embed_vectors.t())/magnitudes\n",
    "        \n",
    "    return valid_examples, similarities"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "# SkipGram model\n",
    "\n",
    "Define and train the SkipGram model. \n",
    "> You'll need to define an [embedding layer](https://pytorch.org/docs/stable/nn.html#embedding) and a final, softmax output layer.\n",
    "\n",
    "An Embedding layer takes in a number of inputs, importantly:\n",
    "* **num_embeddings** – the size of the dictionary of embeddings, or how many rows you'll want in the embedding weight matrix\n",
    "* **embedding_dim** – the size of each embedding vector; the embedding dimension\n",
    "\n",
    "Below is an approximate diagram of the general structure of our network.\n",
    "<img src=\"assets/skip_gram_net_arch.png\" width=60%>\n",
    "\n",
    ">* The input words are passed in as batches of input word tokens. \n",
    "* This will go into a hidden layer of linear units (our embedding layer). \n",
    "* Then, finally into a softmax output layer. \n",
    "\n",
    "We'll use the softmax layer to make a prediction about the context words by sampling, as usual."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## Negative Sampling\n",
    "\n",
    "For every example we give the network, we train it using the output from the softmax layer. That means for each input, we're making very small changes to millions of weights even though we only have one true example. This makes training the network very inefficient. We can approximate the loss from the softmax layer by only updating a small subset of all the weights at once. We'll update the weights for the correct example, but only a small number of incorrect, or noise, examples. This is called [\"negative sampling\"](http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf). \n",
    "\n",
    "There are two modifications we need to make. First, since we're not taking the softmax output over all the words, we're really only concerned with one output word at a time. Similar to how we use an embedding table to map the input word to the hidden layer, we can now use another embedding table to map the hidden layer to the output word. Now we have two embedding layers, one for input words and one for output words. Secondly, we use a modified loss function where we only care about the true example and a small subset of noise examples.\n",
    "\n",
    "$$\n",
    "- \\large \\log{\\sigma\\left(u_{w_O}\\hspace{0.001em}^\\top v_{w_I}\\right)} -\n",
    "\\sum_i^N \\mathbb{E}_{w_i \\sim P_n(w)}\\log{\\sigma\\left(-u_{w_i}\\hspace{0.001em}^\\top v_{w_I}\\right)}\n",
    "$$\n",
    "\n",
    "This is a little complicated so I'll go through it bit by bit. $u_{w_O}\\hspace{0.001em}^\\top$ is the embedding vector for our \"output\" target word (transposed, that's the $^\\top$ symbol) and $v_{w_I}$ is the embedding vector for the \"input\" word. Then the first term \n",
    "\n",
    "$$\\large \\log{\\sigma\\left(u_{w_O}\\hspace{0.001em}^\\top v_{w_I}\\right)}$$\n",
    "\n",
    "says we take the log-sigmoid of the inner product of the output word vector and the input word vector. Now the second term, let's first look at \n",
    "\n",
    "$$\\large \\sum_i^N \\mathbb{E}_{w_i \\sim P_n(w)}$$ \n",
    "\n",
    "This means we're going to take a sum over words $w_i$ drawn from a noise distribution $w_i \\sim P_n(w)$. The noise distribution is basically our vocabulary of words that aren't in the context of our input word. In effect, we can randomly sample words from our vocabulary to get these words. $P_n(w)$ is an arbitrary probability distribution though, which means we get to decide how to weight the words that we're sampling. This could be a uniform distribution, where we sample all words with equal probability. Or it could be according to the frequency that each word shows up in our text corpus, the unigram distribution $U(w)$. The authors found the best distribution to be $U(w)^{3/4}$, empirically. \n",
    "\n",
    "Finally, in \n",
    "\n",
    "$$\\large \\log{\\sigma\\left(-u_{w_i}\\hspace{0.001em}^\\top v_{w_I}\\right)},$$ \n",
    "\n",
    "we take the log-sigmoid of the negated inner product of a noise vector with the input vector. \n",
    "\n",
    "<img src=\"assets/neg_sampling_loss.png\" width=50%>\n",
    "\n",
    "To give you an intuition for what we're doing here, remember that the sigmoid function returns a probability between 0 and 1. The first term in the loss pushes the probability that our network will predict the correct word $w_O$ towards 1. In the second term, since we are negating the sigmoid input, we're pushing the probabilities of the noise words towards 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "from torch import nn\n",
    "import torch.optim as optim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "class SkipGramNeg(nn.Module):\n",
    "    def __init__(self, n_vocab, n_embed, noise_dist=None):\n",
    "        super().__init__()\n",
    "        \n",
    "        self.n_vocab = n_vocab\n",
    "        self.n_embed = n_embed\n",
    "        self.noise_dist = noise_dist\n",
    "        \n",
    "        # define embedding layers for input and output words\n",
    "        self.in_embed = nn.Embedding(n_vocab, n_embed)\n",
    "        self.out_embed = nn.Embedding(n_vocab, n_embed)\n",
    "        \n",
    "        # Initialize both embedding tables with uniform distribution\n",
    "        self.in_embed.weight.data.uniform_(-1, 1)\n",
    "        self.out_embed.weight.data.uniform_(-1, 1)\n",
    "        \n",
    "        \n",
    "    def forward_input(self, input_words):\n",
    "        input_vector = self.in_embed(input_words)\n",
    "        return input_vector\n",
    "    \n",
    "    def forward_output(self, output_words):\n",
    "        output_vector = self.out_embed(output_words)\n",
    "        return output_vector\n",
    "    \n",
    "    def forward_noise(self, batch_size, n_samples):\n",
    "        \"\"\" Generate noise vectors with shape (batch_size, n_samples, n_embed)\"\"\"\n",
    "        if self.noise_dist is None:\n",
    "            # Sample words uniformly\n",
    "            noise_dist = torch.ones(self.n_vocab)\n",
    "        else:\n",
    "            noise_dist = self.noise_dist\n",
    "            \n",
    "        # Sample words from our noise distribution\n",
    "        noise_words = torch.multinomial(noise_dist,\n",
    "                                        batch_size * n_samples,\n",
    "                                        replacement=True)\n",
    "        \n",
    "        device = \"cuda\" if model.out_embed.weight.is_cuda else \"cpu\"\n",
    "        noise_words = noise_words.to(device)\n",
    "        \n",
    "        # reshape the embeddings so that they have dims (batch_size, n_samples, n_embed)\n",
    "        noise_vectors = self.out_embed(noise_words).view(batch_size, n_samples, self.n_embed)\n",
    "        \n",
    "        return noise_vectors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "class NegativeSamplingLoss(nn.Module):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "\n",
    "    def forward(self, input_vectors, output_vectors, noise_vectors):\n",
    "        \n",
    "        batch_size, embed_size = input_vectors.shape\n",
    "        \n",
    "        # Input vectors should be a batch of column vectors\n",
    "        input_vectors = input_vectors.view(batch_size, embed_size, 1)\n",
    "        \n",
    "        # Output vectors should be a batch of row vectors\n",
    "        output_vectors = output_vectors.view(batch_size, 1, embed_size)\n",
    "        \n",
    "        # bmm = batch matrix multiplication\n",
    "        # correct log-sigmoid loss\n",
    "        out_loss = torch.bmm(output_vectors, input_vectors).sigmoid().log()\n",
    "        out_loss = out_loss.squeeze()\n",
    "        \n",
    "        # incorrect log-sigmoid loss\n",
    "        noise_loss = torch.bmm(noise_vectors.neg(), input_vectors).sigmoid().log()\n",
    "        noise_loss = noise_loss.squeeze().sum(1)  # sum the losses over the sample of noise vectors\n",
    "\n",
    "        # negate and sum correct and noisy log-sigmoid losses\n",
    "        # return average batch loss\n",
    "        return -(out_loss + noise_loss).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Training\n",
    "\n",
    "Below is our training loop, and I recommend that you train on GPU, if available."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: 1/5\n",
      "Loss:  6.852975368499756\n",
      "war | supine, prisons, absorber, competition, cassius\n",
      "his | the, arose, centauri, rather, down\n",
      "while | charismatic, majorca, built, superintendents, ideally\n",
      "are | among, the, killing, selling, performs\n",
      "during | regionally, ballet, bank, volumes, reserve\n",
      "he | belgium, who, theorist, xxvi, the\n",
      "were | airlines, one, engineering, whatsoever, dealers\n",
      "more | decoration, latest, miss, the, prepare\n",
      "mainly | synthesis, blown, surrender, thunderball, zoo\n",
      "consists | a, ridings, liu, wedding, repository\n",
      "existence | character, uniforms, fbi, fictional, wondrous\n",
      "san | uncovered, lewiston, split, obscura, airlines\n",
      "mathematics | veneziano, bushmen, direct, circulatory, solemnly\n",
      "ice | historic, says, underlying, shizuka, togo\n",
      "governor | rspca, insertion, bird, go, approaches\n",
      "articles | laptops, scenes, giovani, flour, bank\n",
      "...\n",
      "\n",
      "Epoch: 1/5\n",
      "Loss:  5.390674591064453\n",
      "world | zero, and, in, one, but\n",
      "into | the, of, in, a, is\n",
      "states | for, hospital, latino, augment, graduate\n",
      "are | of, and, for, the, to\n",
      "system | being, tram, navy, that, compost\n",
      "many | it, was, of, zero, s\n",
      "who | and, in, of, yavapai, nine\n",
      "zero | two, one, of, in, five\n",
      "heavy | temporal, instructing, for, and, vegetarians\n",
      "operations | accountability, city, glutamate, rote, microbes\n",
      "centre | in, reliability, as, solidity, tin\n",
      "brother | genealogical, meals, that, mcnamara, empty\n",
      "police | lucio, creator, were, majoring, slovakia\n",
      "prince | three, quality, satellite, forrest, queries\n",
      "lived | kio, immensely, offa, pilot, abstaining\n",
      "consists | ridings, wedding, liu, can, repository\n",
      "...\n",
      "\n",
      "Epoch: 1/5\n",
      "Loss:  4.016761779785156\n",
      "system | is, this, for, its, other\n",
      "history | france, in, eight, french, first\n",
      "s | of, and, his, the, was\n",
      "there | a, to, of, is, that\n",
      "i | is, this, of, to, the\n",
      "united | three, the, and, first, one\n",
      "when | the, to, is, of, and\n",
      "b | eight, e, h, g, lowering\n",
      "event | per, imperfection, rallying, hijackers, variety\n",
      "active | suharto, endowment, maclachlan, pleiades, discuss\n",
      "except | tribune, precepts, examination, orl, presidential\n",
      "mainly | nero, russian, triplets, synthesis, emilio\n",
      "pre | must, sebasti, emilio, capital, exchange\n",
      "animals | unbeatable, system, tramway, immoral, disruptions\n",
      "freedom | commodity, ssh, illuminations, creatures, my\n",
      "shown | sense, prognosis, ambracia, deficits, have\n",
      "...\n",
      "\n",
      "Epoch: 1/5\n",
      "Loss:  3.6987416744232178\n",
      "had | the, to, in, by, his\n",
      "as | the, in, of, a, was\n",
      "state | in, the, and, states, europe\n",
      "which | been, the, of, by, and\n",
      "six | eight, four, five, seven, three\n",
      "all | is, this, these, or, any\n",
      "world | the, many, five, nine, about\n",
      "eight | six, one, seven, five, four\n",
      "quite | that, it, jasmine, can, even\n",
      "freedom | commodity, creatures, submissions, mildly, local\n",
      "except | way, considered, called, surrendered, applescript\n",
      "alternative | dodecanese, herzog, on, only, weekday\n",
      "gold | robin, jurors, centimetres, petroleum, cause\n",
      "grand | coefficients, ardour, chappell, rock, of\n",
      "resources | agi, mockingbird, hostess, percent, vedder\n",
      "account | textual, unities, providing, hardcover, on\n",
      "...\n",
      "\n",
      "Epoch: 1/5\n",
      "Loss:  3.067525863647461\n",
      "th | seven, in, century, six, eight\n",
      "they | that, out, to, but, not\n",
      "time | him, that, not, who, and\n",
      "first | the, in, was, and, nine\n",
      "many | when, who, some, been, was\n",
      "seven | one, two, six, eight, four\n",
      "known | the, and, in, with, s\n",
      "to | the, by, and, of, as\n",
      "lived | last, born, president, period, at\n",
      "units | system, open, technology, totality, varitek\n",
      "bbc | february, links, songs, allen, radio\n",
      "smith | john, mother, press, peter, taylor\n",
      "taking | out, on, but, not, were\n",
      "report | world, organization, by, campaign, has\n",
      "channel | radio, network, lever, across, television\n",
      "animals | mechanism, body, tramway, disruptions, carries\n",
      "...\n",
      "\n",
      "Epoch: 1/5\n",
      "Loss:  3.133134603500366\n",
      "one | four, five, eight, nine, seven\n",
      "of | the, and, by, in, s\n",
      "between | is, into, natural, larger, area\n",
      "would | will, could, if, he, had\n",
      "first | nine, six, in, and, to\n",
      "most | are, used, often, as, using\n",
      "which | as, also, an, and, to\n",
      "such | is, these, more, used, process\n",
      "smith | john, writer, david, actor, peter\n",
      "nobel | prize, physicist, writer, thomas, d\n",
      "resources | services, data, database, technology, development\n",
      "square | km, sea, river, mountains, m\n",
      "defense | military, force, republic, political, armed\n",
      "know | you, why, said, your, how\n",
      "older | families, developed, basic, part, images\n",
      "applications | file, mode, system, code, for\n",
      "...\n",
      "\n",
      "Epoch: 2/5\n",
      "Loss:  2.464759111404419\n",
      "has | the, and, is, its, for\n",
      "called | is, like, can, to, same\n",
      "his | he, him, father, who, king\n",
      "one | eight, three, two, seven, four\n",
      "american | actor, actress, born, singer, musician\n",
      "at | near, in, the, on, of\n",
      "by | the, and, of, was, to\n",
      "he | his, him, she, father, her\n",
      "magazine | external, org, featured, edition, com\n",
      "additional | example, personal, will, set, a\n",
      "professional | baseball, australian, association, football, american\n",
      "taking | out, was, hands, after, did\n",
      "test | launch, turn, limited, space, alphanumeric\n",
      "account | divine, testament, messiah, ancient, whom\n",
      "liberal | election, democratic, party, liberals, justice\n",
      "construction | building, largest, industry, city, urban\n",
      "...\n",
      "\n",
      "Epoch: 2/5\n",
      "Loss:  2.988272190093994\n",
      "people | as, have, other, their, and\n",
      "where | with, a, the, they, which\n",
      "eight | two, nine, zero, six, three\n",
      "will | or, not, be, are, so\n",
      "it | a, to, or, of, with\n",
      "new | university, eight, website, york, one\n",
      "many | with, in, of, variety, areas\n",
      "as | a, and, in, the, are\n",
      "joseph | smith, sir, robert, poet, richard\n",
      "award | awards, series, winners, baseball, awarded\n",
      "liberal | party, election, liberals, parties, presidential\n",
      "shows | same, ways, a, performed, it\n",
      "square | miles, m, west, km, northwest\n",
      "paris | cole, de, des, jean, france\n",
      "professional | baseball, manager, training, sports, association\n",
      "experience | requires, factors, patients, physical, some\n",
      "...\n",
      "\n",
      "Epoch: 2/5\n",
      "Loss:  2.7265286445617676\n",
      "as | the, and, by, is, some\n",
      "by | of, as, a, was, the\n",
      "at | high, part, when, near, visible\n",
      "zero | two, six, five, four, one\n",
      "two | zero, four, one, three, nine\n",
      "so | example, be, is, to, a\n",
      "during | war, was, until, after, remained\n",
      "be | can, if, this, it, a\n",
      "creation | scientific, evolution, understanding, applied, arguing\n",
      "articles | online, page, com, external, pdf\n",
      "lived | daughter, born, mother, story, her\n",
      "additional | are, need, easily, high, taken\n",
      "test | tests, program, data, distributed, systems\n",
      "discovered | chemical, observed, et, properties, discovery\n",
      "joseph | sir, jr, historian, smith, richard\n",
      "older | small, using, more, use, age\n",
      "...\n",
      "\n",
      "Epoch: 2/5\n",
      "Loss:  2.677213191986084\n",
      "he | his, him, her, himself, death\n",
      "years | age, zero, rate, birth, seven\n",
      "eight | seven, six, five, one, three\n",
      "will | be, should, that, it, you\n",
      "so | if, is, could, it, to\n",
      "seven | one, five, eight, four, three\n",
      "were | the, of, in, was, roman\n",
      "nine | zero, seven, one, five, three\n",
      "notes | note, comes, music, ti, musical\n",
      "accepted | law, in, not, scholars, legal\n",
      "something | know, what, good, my, you\n",
      "orthodox | church, christians, catholic, christian, christianity\n",
      "applications | interface, graphics, software, hardware, systems\n",
      "test | tests, observation, nuclear, effectiveness, laboratory\n",
      "discovered | near, astronomer, found, sir, the\n",
      "alternative | approach, theory, evolution, techniques, limiting\n",
      "...\n",
      "\n",
      "Epoch: 2/5\n",
      "Loss:  2.564753770828247\n",
      "often | some, more, as, many, or\n",
      "most | are, many, is, the, or\n",
      "to | however, of, with, the, that\n",
      "not | that, be, to, if, might\n",
      "between | the, border, area, and, central\n",
      "if | we, so, will, must, not\n",
      "other | as, and, mostly, the, many\n",
      "state | states, county, northern, united, district\n",
      "magazine | magazines, jerry, fan, guest, media\n",
      "lived | daughter, late, brother, himself, mother\n",
      "channel | stations, radio, cable, broadcast, channels\n",
      "operating | software, capabilities, os, hardware, java\n",
      "mean | uses, meaning, root, note, generalized\n",
      "bill | executive, george, actor, canadian, president\n",
      "road | county, street, ride, park, at\n",
      "proposed | theory, rejected, commission, concluded, applied\n",
      "...\n",
      "\n",
      "Epoch: 2/5\n",
      "Loss:  2.7311341762542725\n",
      "new | york, in, san, project, commercial\n",
      "such | some, other, or, various, these\n",
      "these | are, or, a, such, types\n",
      "in | the, of, from, a, and\n",
      "united | states, national, presidents, council, ministers\n",
      "b | d, one, eight, seven, actor\n",
      "however | to, that, would, not, even\n",
      "into | the, a, while, to, divided\n",
      "egypt | egyptian, israel, syria, kings, reigned\n",
      "account | human, value, observations, view, inflation\n",
      "orthodox | christians, jewish, christian, orthodoxy, catholic\n",
      "scale | key, scales, diatonic, pitch, tone\n",
      "frac | mathbf, equation, sqrt, cdot, cos\n",
      "http | www, htm, org, com, external\n",
      "woman | husband, children, her, married, birth\n",
      "running | operating, support, platforms, platform, systems\n",
      "...\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: 3/5\n",
      "Loss:  2.184408664703369\n",
      "use | used, applications, using, quality, such\n",
      "other | and, has, for, or, such\n",
      "five | zero, two, three, four, one\n",
      "war | allied, forces, nazi, retreat, battle\n",
      "would | needed, no, could, defending, move\n",
      "some | are, such, different, been, including\n",
      "from | of, in, the, and, four\n",
      "may | be, to, occur, can, or\n",
      "applied | properties, be, principles, can, theory\n",
      "square | area, situated, miles, city, feet\n",
      "smith | actor, james, joseph, david, taylor\n",
      "professional | football, association, baseball, league, australian\n",
      "marriage | wife, marry, married, daughter, children\n",
      "bill | jerry, bills, bob, joe, wilson\n",
      "report | reports, review, journal, agency, assessment\n",
      "gold | silver, iron, precious, bronze, diamonds\n",
      "...\n",
      "\n",
      "Epoch: 3/5\n",
      "Loss:  2.513038158416748\n",
      "by | of, the, a, to, as\n",
      "have | that, evidence, consider, still, has\n",
      "they | to, their, them, a, when\n",
      "his | he, him, friend, father, who\n",
      "as | and, by, such, also, of\n",
      "people | living, parents, and, among, americans\n",
      "states | united, countries, nations, federal, constitution\n",
      "th | nd, rd, century, st, early\n",
      "institute | university, technology, college, sciences, engineering\n",
      "know | say, we, you, if, saying\n",
      "applications | systems, properties, software, electrical, application\n",
      "hit | hits, hitting, scored, pitcher, ball\n",
      "applied | principles, theory, measured, engineering, mathematics\n",
      "liberal | liberals, election, conservative, party, democratic\n",
      "quite | very, to, however, way, it\n",
      "troops | army, soldiers, war, fighting, armed\n",
      "...\n",
      "\n",
      "Epoch: 3/5\n",
      "Loss:  2.259892463684082\n",
      "than | more, less, amount, higher, low\n",
      "may | be, often, occur, cases, is\n",
      "states | united, union, countries, constitution, treaty\n",
      "some | are, other, as, though, such\n",
      "who | his, father, did, her, and\n",
      "he | his, him, friend, himself, she\n",
      "his | he, who, him, s, was\n",
      "for | a, an, the, s, as\n",
      "mainly | tribes, german, scandinavia, groups, region\n",
      "applied | theory, fundamental, principles, physics, mathematics\n",
      "hit | hits, hitting, track, album, scored\n",
      "older | age, families, although, usually, household\n",
      "notes | counterpoint, classical, bass, tone, diatonic\n",
      "assembly | legislative, elected, minister, unicameral, seats\n",
      "engine | engines, diesel, fuel, powered, efficiency\n",
      "joseph | smith, george, jr, politician, james\n",
      "...\n",
      "\n",
      "Epoch: 3/5\n",
      "Loss:  2.663980007171631\n",
      "when | pressure, as, can, they, not\n",
      "s | nine, of, and, in, eight\n",
      "of | in, the, from, and, were\n",
      "one | four, seven, three, five, two\n",
      "three | one, two, six, five, four\n",
      "this | to, not, is, it, be\n",
      "seven | eight, six, four, one, five\n",
      "known | the, of, in, also, such\n",
      "heavy | metal, heavier, tends, extremely, bands\n",
      "behind | man, side, face, scene, out\n",
      "square | tallest, mile, miles, avenue, boundaries\n",
      "frac | cdot, equation, mathbf, sqrt, cos\n",
      "discovered | discovery, discoveries, astronomer, he, observations\n",
      "arts | university, campus, art, institute, education\n",
      "resources | mining, resource, forests, natural, timber\n",
      "powers | government, governments, role, independent, ministers\n",
      "...\n",
      "\n",
      "Epoch: 3/5\n",
      "Loss:  2.372767210006714\n",
      "to | the, a, be, of, some\n",
      "however | to, not, be, have, some\n",
      "as | the, and, of, to, a\n",
      "most | the, other, have, are, has\n",
      "who | had, people, his, daughter, s\n",
      "of | the, in, and, by, from\n",
      "at | of, the, to, where, s\n",
      "be | to, a, some, or, would\n",
      "woman | children, sexual, women, her, pregnant\n",
      "scale | blow, richter, impact, scales, ratios\n",
      "applications | interface, application, windows, networking, software\n",
      "prince | throne, crown, edward, duke, son\n",
      "powers | superhero, abilities, comics, legislature, continuity\n",
      "joseph | d, austrian, b, american, jr\n",
      "proposed | concluded, commission, theory, solar, committee\n",
      "square | mile, tallest, feet, kilometres, miles\n",
      "...\n",
      "\n",
      "Epoch: 3/5\n",
      "Loss:  2.463052749633789\n",
      "after | was, had, the, before, october\n",
      "an | a, the, and, is, to\n",
      "however | would, to, it, not, could\n",
      "world | war, germany, team, nations, union\n",
      "see | of, links, article, com, is\n",
      "this | the, a, called, which, is\n",
      "other | are, as, and, the, such\n",
      "war | battle, troops, army, forces, ii\n",
      "primarily | generally, other, developed, mostly, also\n",
      "applied | used, uses, characteristic, can, equations\n",
      "san | francisco, diego, los, santiago, angeles\n",
      "mathematics | mathematical, mathematicians, geometry, theorem, algebra\n",
      "operations | operation, arithmetic, function, multiplication, command\n",
      "mainly | recently, encouraged, especially, rich, industry\n",
      "bill | house, senator, tim, michael, candidacy\n",
      "bbc | news, february, listing, day, radio\n",
      "...\n",
      "\n",
      "Epoch: 4/5\n",
      "Loss:  2.399505376815796\n",
      "united | states, nations, kingdom, countries, caribbean\n",
      "four | zero, one, seven, three, six\n",
      "at | on, a, of, time, seven\n",
      "have | been, their, these, to, those\n",
      "they | their, to, them, that, often\n",
      "such | are, used, as, these, often\n",
      "the | of, in, and, has, a\n",
      "he | him, his, was, died, himself\n",
      "pressure | fluid, flow, tube, lowering, pump\n",
      "alternative | complementary, is, uk, provides, comprehensive\n",
      "instance | such, therefore, itself, apply, universally\n",
      "mean | sqrt, curve, mathbf, arithmetic, constant\n",
      "bbc | news, pbs, fm, links, external\n",
      "test | tests, testing, rocket, fly, evaluation\n",
      "prince | throne, king, duke, ruler, emperor\n",
      "defense | military, armed, defensive, personnel, forces\n",
      "...\n",
      "\n",
      "Epoch: 4/5\n",
      "Loss:  2.3178038597106934\n",
      "to | the, with, that, a, for\n",
      "often | some, used, is, typically, or\n",
      "over | the, every, years, one, a\n",
      "this | to, be, with, the, which\n",
      "by | of, and, s, the, as\n",
      "on | the, a, of, in, and\n",
      "seven | six, one, five, four, eight\n",
      "when | the, to, that, be, being\n",
      "numerous | particularly, large, been, include, significant\n",
      "consists | composed, consisting, structure, each, called\n",
      "operations | operation, arithmetic, algebra, multiplication, rational\n",
      "recorded | records, two, song, record, last\n",
      "except | as, it, regular, less, similarly\n",
      "scale | scales, measurements, sitter, resulting, masses\n",
      "existence | truth, theories, universe, argument, logical\n",
      "troops | soldiers, army, fighting, invasion, forces\n",
      "...\n",
      "\n",
      "Epoch: 4/5\n",
      "Loss:  2.493962287902832\n",
      "only | are, to, be, as, have\n",
      "while | the, however, and, that, be\n",
      "be | that, can, is, this, so\n",
      "have | these, been, they, are, only\n",
      "so | be, that, we, not, is\n",
      "one | seven, six, four, eight, three\n",
      "three | two, seven, five, four, one\n",
      "history | external, modern, links, origins, references\n",
      "instance | example, can, cannot, different, such\n",
      "hold | holding, step, shoulder, hands, may\n",
      "ice | frozen, rocks, glaciers, glacial, lakes\n",
      "heavy | metal, heavier, air, propelled, armour\n",
      "know | we, you, say, t, what\n",
      "except | is, not, called, only, start\n",
      "egypt | syria, egyptian, libya, arab, sudan\n",
      "active | with, members, united, organizations, worldwide\n",
      "...\n",
      "\n",
      "Epoch: 4/5\n",
      "Loss:  2.4258463382720947\n",
      "other | are, some, as, most, for\n",
      "may | or, be, either, are, occur\n",
      "world | from, championship, finals, nation, countries\n",
      "be | it, that, not, is, this\n",
      "it | be, its, to, that, this\n",
      "such | a, other, is, as, non\n",
      "often | usually, are, most, or, also\n",
      "however | the, in, only, to, even\n",
      "notes | octave, note, piano, music, bach\n",
      "scale | scales, magnitude, measurements, cycles, mass\n",
      "http | www, html, htm, org, com\n",
      "road | rail, highway, route, construction, train\n",
      "egypt | egyptian, syria, egyptians, ancient, sinai\n",
      "arts | university, academy, colleges, college, institute\n",
      "powers | monarchy, constitutional, prime, power, monarch\n",
      "engineering | research, electrical, engineers, science, undergraduate\n",
      "...\n",
      "\n",
      "Epoch: 4/5\n",
      "Loss:  2.580833673477173\n",
      "more | with, less, than, have, the\n",
      "after | his, was, november, on, had\n",
      "an | for, to, in, of, was\n",
      "but | to, not, they, because, thus\n",
      "was | his, had, later, first, when\n",
      "when | his, was, he, them, to\n",
      "may | be, as, either, or, it\n",
      "between | and, the, central, of, in\n",
      "hit | hits, singles, hitting, billboard, pitcher\n",
      "issue | issues, controversy, claiming, stating, parties\n",
      "proposed | allow, examine, implementation, concept, regarding\n",
      "articles | discussion, online, topics, org, article\n",
      "primarily | areas, has, and, form, parts\n",
      "accepted | recognized, may, sometime, regarding, that\n",
      "numerous | mainly, were, among, as, become\n",
      "joseph | robert, smith, american, d, b\n",
      "...\n",
      "\n",
      "Epoch: 4/5\n",
      "Loss:  2.5155282020568848\n",
      "people | ethnic, living, lives, thousands, nationality\n",
      "called | a, the, like, is, form\n",
      "there | are, have, is, other, this\n",
      "after | was, his, had, later, before\n",
      "no | if, which, all, would, this\n",
      "one | nine, seven, four, five, eight\n",
      "to | that, the, a, for, and\n",
      "who | him, he, whom, his, followers\n",
      "engineering | electrical, laboratory, materials, sciences, computational\n",
      "shows | actors, films, movie, stage, appeared\n",
      "versions | version, compatible, windows, operating, os\n",
      "scale | scales, pitch, richter, instruments, by\n",
      "existence | logically, infinite, transcendent, arguing, essence\n",
      "question | whether, questions, truth, what, answer\n",
      "mainly | especially, particularly, many, developed, groups\n",
      "smith | joseph, jr, robert, american, richard\n",
      "...\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: 5/5\n",
      "Loss:  2.313613176345825\n",
      "most | many, are, widely, some, has\n",
      "history | links, external, century, see, of\n",
      "eight | one, seven, nine, five, six\n",
      "time | to, that, was, first, after\n",
      "i | me, you, t, him, he\n",
      "is | of, a, the, are, from\n",
      "united | states, nations, kingdom, of, member\n",
      "into | and, of, were, the, from\n",
      "applied | artefact, studied, be, methods, some\n",
      "event | events, olympic, memorial, prospect, against\n",
      "magazine | news, magazines, interview, links, com\n",
      "issue | claiming, opposition, questioned, apparently, credibility\n",
      "prince | duke, princess, king, crowned, succeeded\n",
      "behind | side, defensive, spot, forward, quarterback\n",
      "lived | century, centuries, settled, during, died\n",
      "nobel | prize, laureate, recipient, writer, physicist\n",
      "...\n",
      "\n",
      "Epoch: 5/5\n",
      "Loss:  2.270679235458374\n",
      "be | that, it, must, if, the\n",
      "only | the, were, of, in, with\n",
      "there | are, as, all, in, the\n",
      "their | they, them, to, are, themselves\n",
      "had | was, after, he, were, gave\n",
      "called | as, a, the, is, and\n",
      "in | a, the, of, and, from\n",
      "american | america, americans, actress, actor, association\n",
      "except | to, usually, often, it, not\n",
      "square | cubic, squares, street, metres, city\n",
      "paris | des, de, jean, la, sur\n",
      "liberal | liberals, conservative, conservatives, democrats, party\n",
      "report | agency, reports, journal, drug, health\n",
      "smith | joseph, john, jr, michael, thomas\n",
      "freedom | liberty, political, economic, liberties, neoliberalism\n",
      "resources | mining, mineral, resource, agricultural, hydropower\n",
      "...\n",
      "\n",
      "Epoch: 5/5\n",
      "Loss:  2.5106377601623535\n",
      "history | links, external, modern, origins, website\n",
      "its | is, form, be, a, forms\n",
      "from | of, the, in, to, and\n",
      "system | systems, use, for, operating, is\n",
      "i | you, t, we, me, k\n",
      "use | used, uses, systems, employ, system\n",
      "he | his, him, father, himself, was\n",
      "would | it, to, that, out, so\n",
      "alternative | collaboration, some, phenomenon, generally, specific\n",
      "woman | her, she, husband, women, female\n",
      "discovered | discovery, discoveries, found, named, discoverer\n",
      "governor | governors, defeated, appointed, charles, senators\n",
      "versions | version, windows, rom, compatible, os\n",
      "troops | army, soldiers, forces, allied, war\n",
      "gold | silver, bronze, diamonds, mineral, copper\n",
      "bbc | itv, news, broadcast, radio, programme\n",
      "...\n",
      "\n",
      "Epoch: 5/5\n",
      "Loss:  2.21753191947937\n",
      "about | zero, at, up, the, four\n",
      "as | the, and, of, in, is\n",
      "american | musician, actress, states, americans, george\n",
      "no | import, jargon, info, duplicate, symbolic\n",
      "that | to, is, if, not, be\n",
      "most | the, many, also, of, some\n",
      "i | you, my, me, am, we\n",
      "first | at, the, in, year, name\n",
      "creation | humanity, appears, timeline, in, modern\n",
      "paris | de, lyon, les, henri, jean\n",
      "proposed | passed, hypothesis, proposals, systems, propose\n",
      "nobel | prize, laureate, chemist, physicist, recipient\n",
      "frac | cdot, sqrt, cdots, equation, mathbf\n",
      "articles | encyclopedia, article, online, wiki, links\n",
      "pressure | temperature, heat, pressures, vapor, atmospheric\n",
      "event | events, extinction, week, beginning, particular\n",
      "...\n",
      "\n",
      "Epoch: 5/5\n",
      "Loss:  2.2613611221313477\n",
      "some | these, however, many, other, were\n",
      "and | of, the, in, as, s\n",
      "be | or, are, have, a, to\n",
      "to | did, the, they, had, that\n",
      "used | use, word, or, which, commonly\n",
      "their | they, to, the, many, his\n",
      "known | the, as, and, several, of\n",
      "or | be, are, either, can, used\n",
      "defense | security, defence, personnel, criminal, armed\n",
      "troops | forces, army, war, soldiers, invasion\n",
      "smith | jr, mormonism, joseph, advocate, martin\n",
      "quite | someone, too, because, that, often\n",
      "shows | shown, show, theatrical, comedy, theater\n",
      "test | tests, tested, testing, nuclear, ozone\n",
      "experience | album, hendrix, psychedelic, experiences, jimi\n",
      "liberal | liberals, conservative, party, democrats, democrat\n",
      "...\n",
      "\n",
      "Epoch: 5/5\n",
      "Loss:  2.3982081413269043\n",
      "one | seven, nine, four, eight, five\n",
      "an | a, the, of, and, to\n",
      "would | were, however, that, not, could\n",
      "been | many, of, has, some, due\n",
      "known | the, is, in, from, are\n",
      "s | of, the, had, nine, on\n",
      "not | if, that, so, it, just\n",
      "they | that, could, when, to, their\n",
      "notes | diatonic, note, instruments, banknotes, musical\n",
      "pope | cardinal, papal, archbishop, gregory, viii\n",
      "marriage | marriages, divorce, marry, sexual, married\n",
      "event | events, organizers, in, after, she\n",
      "applied | means, characteristic, examples, change, electrical\n",
      "creation | communities, their, changes, formed, its\n",
      "experience | perception, reality, cognitive, ethical, lives\n",
      "gold | silver, precious, bronze, platinum, copper\n",
      "...\n",
      "\n"
     ]
    }
   ],
   "source": [
    "device = 'cuda' if torch.cuda.is_available() else 'cpu'\n",
    "\n",
    "# Get our noise distribution\n",
    "# Using word frequencies calculated earlier in the notebook\n",
    "word_freqs = np.array(sorted(freqs.values(), reverse=True))\n",
    "unigram_dist = word_freqs/word_freqs.sum()\n",
    "noise_dist = torch.from_numpy(unigram_dist**(0.75)/np.sum(unigram_dist**(0.75)))\n",
    "\n",
    "# instantiating the model\n",
    "embedding_dim = 300\n",
    "model = SkipGramNeg(len(vocab_to_int), embedding_dim, noise_dist=noise_dist).to(device)\n",
    "\n",
    "# using the loss that we defined\n",
    "criterion = NegativeSamplingLoss() \n",
    "optimizer = optim.Adam(model.parameters(), lr=0.003)\n",
    "\n",
    "print_every = 1500\n",
    "steps = 0\n",
    "epochs = 5\n",
    "\n",
    "# train for some number of epochs\n",
    "for e in range(epochs):\n",
    "    \n",
    "    # get our input, target batches\n",
    "    for input_words, target_words in get_batches(train_words, 512):\n",
    "        steps += 1\n",
    "        inputs, targets = torch.LongTensor(input_words), torch.LongTensor(target_words)\n",
    "        inputs, targets = inputs.to(device), targets.to(device)\n",
    "        \n",
    "        # input, outpt, and noise vectors\n",
    "        input_vectors = model.forward_input(inputs)\n",
    "        output_vectors = model.forward_output(targets)\n",
    "        noise_vectors = model.forward_noise(inputs.shape[0], 5)\n",
    "\n",
    "        # negative sampling loss\n",
    "        loss = criterion(input_vectors, output_vectors, noise_vectors)\n",
    "\n",
    "        optimizer.zero_grad()\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "\n",
    "        # loss stats\n",
    "        if steps % print_every == 0:\n",
    "            print(\"Epoch: {}/{}\".format(e+1, epochs))\n",
    "            print(\"Loss: \", loss.item()) # avg batch loss at this point in training\n",
    "            valid_examples, valid_similarities = cosine_similarity(model.in_embed, device=device)\n",
    "            _, closest_idxs = valid_similarities.topk(6)\n",
    "\n",
    "            valid_examples, closest_idxs = valid_examples.to('cpu'), closest_idxs.to('cpu')\n",
    "            for ii, valid_idx in enumerate(valid_examples):\n",
    "                closest_words = [int_to_vocab[idx.item()] for idx in closest_idxs[ii]][1:]\n",
    "                print(int_to_vocab[valid_idx.item()] + \" | \" + ', '.join(closest_words))\n",
    "            print(\"...\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing the word vectors\n",
    "\n",
    "Below we'll use T-SNE to visualize how our high-dimensional word vectors cluster together. T-SNE is used to project these vectors into two dimensions while preserving local stucture. Check out [this post from Christopher Olah](http://colah.github.io/posts/2014-10-Visualizing-MNIST/) to learn more about T-SNE and other ways to visualize high-dimensional data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.manifold import TSNE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# getting embeddings from the embedding layer of our model, by name\n",
    "embeddings = model.in_embed.weight.to('cpu').data.numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "viz_words = 380\n",
    "tsne = TSNE()\n",
    "embed_tsne = tsne.fit_transform(embeddings[:viz_words, :])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa292933b00>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 902,
       "width": 943
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(16, 16))\n",
    "for idx in range(viz_words):\n",
    "    plt.scatter(*embed_tsne[idx, :], color='steelblue')\n",
    "    plt.annotate(int_to_vocab[idx], (embed_tsne[idx, 0], embed_tsne[idx, 1]), alpha=0.7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}