{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Test\n", "A testing file where we can show how to use each of our components and leverage the components of others." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Bert Embeddings\n", "Here is an example showing how to embed the course sentences collected by Kalen." ] }, { "cell_type": "code", "execution_count": 79, "metadata": {}, "outputs": [], "source": [ "from embeddings.bert import BertSentenceEmbedder\n", "import pandas as pd\n", "import numpy as np\n", "from nltk.metrics import edit_distance\n", "from helper import load_data" ] }, { "cell_type": "code", "execution_count": 96, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Some weights of the model checkpoint at bert-base-uncased were not used when initializing BertModel: ['cls.predictions.transform.LayerNorm.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.seq_relationship.bias', 'cls.predictions.bias', 'cls.predictions.transform.dense.bias', 'cls.seq_relationship.weight', 'cls.predictions.transform.dense.weight', 'cls.predictions.decoder.weight']\n", "- This IS expected if you are initializing BertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", "- This IS NOT expected if you are initializing BertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n" ] } ], "source": [ "sents, labels = load_data(num_majors=5)\n", "embedder = BertSentenceEmbedder(device=\"mps\", padding_length=1000)\n", "embs = embedder.transform(sents)\n" ] }, { "cell_type": "code", "execution_count": 101, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 101, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from sklearn.decomposition import PCA\n", "import seaborn as sns\n", "pca = PCA(n_components=2)\n", "dims = pca.fit_transform(embs)\n", "\n", "df = pd.DataFrame({\"x\": dims[:,0], \"y\": dims[:,1], \"Major\": labels})\n", "sns.scatterplot(df, x=\"x\", y=\"y\", hue=\"Major\")" ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [], "source": [ "\n", "\n", "courses = pd.read_csv(\"course_sentences.csv\")\n", "program_descs = pd.read_csv(\"program_descriptions.csv\")\n", "# program_descs[\"program\"] = program_descs[\"Program\"].apply(str.strip).replace({\"Comparative Ethics Studies\": \"Comparative Ethnic Studies\", \"Statistic\": \"Statistics\"})\n", "# program_descs = program_descs.drop([\"Program\"],axis=1)\n", "# program_descs.columns = [\"description\", \"program\"]\n", "# program_descs = program_descs.drop_duplicates(subset=[\"description\"])\n" ] }, { "cell_type": "code", "execution_count": 78, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
programsentencecourse
42Computer Engineering2121
\n", "
" ], "text/plain": [ " program sentence course\n", "42 Computer Engineering 21 21" ] }, "execution_count": 78, "metadata": {}, "output_type": "execute_result" } ], "source": [ "t = courses.groupby(\"program\").count().sort_values(by=[\"course\"], ascending=False).reset_index()\n", "t[t[\"program\"] == \"Computer Engineering\"]" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "almost_matches = []\n", "dist = 4\n", "def preprocess(x:str):\n", " return x.strip()\n", "for n1 in courses[\"program\"].unique():\n", " for n2 in map(preprocess, program_descs[\"program\"].unique()):\n", " if n1 != n2 and edit_distance(n1,n2) < dist:\n", " almost_matches.append((n1,n2))\n", "\n", "almost_matches" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "3002" ] }, "execution_count": 56, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(courses)+ len(program_descs)" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [], "source": [ "program_descs.to_csv(\"program_descriptions.csv\", index=False)" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Some weights of the model checkpoint at bert-base-uncased were not used when initializing BertModel: ['cls.predictions.transform.LayerNorm.weight', 'cls.predictions.transform.dense.bias', 'cls.predictions.decoder.weight', 'cls.seq_relationship.weight', 'cls.predictions.transform.dense.weight', 'cls.predictions.bias', 'cls.predictions.transform.LayerNorm.bias', 'cls.seq_relationship.bias']\n", "- This IS expected if you are initializing BertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", "- This IS NOT expected if you are initializing BertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n" ] } ], "source": [ "# Note this will take about 2 minutes on a CPU. Highly recommend you utilize your GPU\n", "device = \"cpu\"\n", "# The associated warning is not a problem for us. See https://huggingface.co/bert-base-uncased/discussions/4\n", "embedder = BertSentenceEmbedder(device=device, padding_length=1000)\n" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "ename": "RuntimeError", "evalue": "The expanded size of the tensor (1000) must match the existing size (512) at non-singleton dimension 1. Target sizes: [2623, 1000]. Tensor sizes: [1, 512]", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn [42], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m embeddings \u001b[39m=\u001b[39m embedder\u001b[39m.\u001b[39;49mtransform(\u001b[39mlist\u001b[39;49m(df[\u001b[39m\"\u001b[39;49m\u001b[39msentence\u001b[39;49m\u001b[39m\"\u001b[39;49m]))\n", "File \u001b[0;32m~/Desktop/School/CSC-570/csc-570-proj/embeddings/bert.py:40\u001b[0m, in \u001b[0;36mBertSentenceEmbedder.transform\u001b[0;34m(self, X)\u001b[0m\n\u001b[1;32m 38\u001b[0m tokens \u001b[39m=\u001b[39m tokens[\u001b[39m\"\u001b[39m\u001b[39minput_ids\u001b[39m\u001b[39m\"\u001b[39m]\u001b[39m.\u001b[39mto(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_device)\n\u001b[1;32m 39\u001b[0m \u001b[39mwith\u001b[39;00m torch\u001b[39m.\u001b[39mno_grad():\n\u001b[0;32m---> 40\u001b[0m hidden_states \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_model(\n\u001b[1;32m 41\u001b[0m input_ids\u001b[39m=\u001b[39;49mtokens, \n\u001b[1;32m 42\u001b[0m output_hidden_states\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m\n\u001b[1;32m 43\u001b[0m )[\u001b[39m\"\u001b[39m\u001b[39mhidden_states\u001b[39m\u001b[39m\"\u001b[39m]\n\u001b[1;32m 44\u001b[0m embeddings \u001b[39m=\u001b[39m torch\u001b[39m.\u001b[39mcat(hidden_states[\u001b[39m-\u001b[39m\u001b[39m4\u001b[39m:], dim\u001b[39m=\u001b[39m\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m)\n\u001b[1;32m 45\u001b[0m embeddings \u001b[39m=\u001b[39m torch\u001b[39m.\u001b[39mmean(embeddings, dim\u001b[39m=\u001b[39m\u001b[39m1\u001b[39m)\n", "File \u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/csc-570/lib/python3.10/site-packages/torch/nn/modules/module.py:1190\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *input, **kwargs)\u001b[0m\n\u001b[1;32m 1186\u001b[0m \u001b[39m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1187\u001b[0m \u001b[39m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1188\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m (\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_pre_hooks \u001b[39mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1189\u001b[0m \u001b[39mor\u001b[39;00m _global_forward_hooks \u001b[39mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1190\u001b[0m \u001b[39mreturn\u001b[39;00m forward_call(\u001b[39m*\u001b[39;49m\u001b[39minput\u001b[39;49m, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m 1191\u001b[0m \u001b[39m# Do not call functions when jit is used\u001b[39;00m\n\u001b[1;32m 1192\u001b[0m full_backward_hooks, non_full_backward_hooks \u001b[39m=\u001b[39m [], []\n", "File \u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/csc-570/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py:962\u001b[0m, in \u001b[0;36mBertModel.forward\u001b[0;34m(self, input_ids, attention_mask, token_type_ids, position_ids, head_mask, inputs_embeds, encoder_hidden_states, encoder_attention_mask, past_key_values, use_cache, output_attentions, output_hidden_states, return_dict)\u001b[0m\n\u001b[1;32m 960\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mhasattr\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39membeddings, \u001b[39m\"\u001b[39m\u001b[39mtoken_type_ids\u001b[39m\u001b[39m\"\u001b[39m):\n\u001b[1;32m 961\u001b[0m buffered_token_type_ids \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39membeddings\u001b[39m.\u001b[39mtoken_type_ids[:, :seq_length]\n\u001b[0;32m--> 962\u001b[0m buffered_token_type_ids_expanded \u001b[39m=\u001b[39m buffered_token_type_ids\u001b[39m.\u001b[39;49mexpand(batch_size, seq_length)\n\u001b[1;32m 963\u001b[0m token_type_ids \u001b[39m=\u001b[39m buffered_token_type_ids_expanded\n\u001b[1;32m 964\u001b[0m \u001b[39melse\u001b[39;00m:\n", "\u001b[0;31mRuntimeError\u001b[0m: The expanded size of the tensor (1000) must match the existing size (512) at non-singleton dimension 1. Target sizes: [2623, 1000]. Tensor sizes: [1, 512]" ] } ], "source": [ "embeddings = embedder.transform(list(df[\"sentence\"]))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
KNeighborsClassifier()
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" ], "text/plain": [ "KNeighborsClassifier()" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.neighbors import KNeighborsClassifier\n", "labels = df[\"program\"]\n", "classifier = KNeighborsClassifier()\n", "classifier.fit(embeddings, labels)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['Materials Engineering', 'Aerospace Engineering',\n", " 'Liberal Studies', 'Recreation, Parks, and Tourism Administration'],\n", " dtype='