BERT_FineTuning_Classification.ipynb

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  "cells": [
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "import torch.nn as nn\n",
        "from transformers import BertTokenizer, BertForSequenceClassification, AdamW\n",
        "from torch.utils.data import DataLoader\n",
        "from datasets import load_dataset\n",
        "from transformers import DataCollatorWithPadding\n",
        "\n",
        "# Load pre-trained BERT tokenizer and model\n",
        "tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')\n",
        "model = BertForSequenceClassification.from_pretrained('bert-base-uncased', num_labels=2)  # Binary classification\n",
        "\n",
        "# Load SST-2 dataset from GLUE benchmark\n",
        "dataset = load_dataset(\"glue\", \"sst2\")\n",
        "\n",
        "# Slice the dataset to select only the first 100 entries\n",
        "dataset['train'] = dataset['train'].select(range(500))\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RusPEdbylK2n",
        "outputId": "3b48333b-cdb5-43e2-80d9-ce617f25e24d"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight']\n",
            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# Iterate over each example in the dataset and print its contents\n",
        "for example in dataset['train']:\n",
        "    print(\"Sentence:\", example['sentence'])\n",
        "    print(\"Label:\", example['label'])\n",
        "    print(\"Index:\", example['idx'])\n",
        "    print()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UdUTuHWAmGsA",
        "outputId": "095374bf-9cca-4a90-fec1-1ec9a1fb4032"
      },
      "execution_count": 33,
      "outputs": [
        {
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          "name": "stdout",
          "text": [
            "Sentence: hide new secretions from the parental units \n",
            "Label: 0\n",
            "Index: 0\n",
            "\n",
            "Sentence: contains no wit , only labored gags \n",
            "Label: 0\n",
            "Index: 1\n",
            "\n",
            "Sentence: that loves its characters and communicates something rather beautiful about human nature \n",
            "Label: 1\n",
            "Index: 2\n",
            "\n",
            "Sentence: remains utterly satisfied to remain the same throughout \n",
            "Label: 0\n",
            "Index: 3\n",
            "\n",
            "Sentence: on the worst revenge-of-the-nerds clichés the filmmakers could dredge up \n",
            "Label: 0\n",
            "Index: 4\n",
            "\n",
            "Sentence: that 's far too tragic to merit such superficial treatment \n",
            "Label: 0\n",
            "Index: 5\n",
            "\n",
            "Sentence: demonstrates that the director of such hollywood blockbusters as patriot games can still turn out a small , personal film with an emotional wallop . \n",
            "Label: 1\n",
            "Index: 6\n",
            "\n",
            "Sentence: of saucy \n",
            "Label: 1\n",
            "Index: 7\n",
            "\n",
            "Sentence: a depressed fifteen-year-old 's suicidal poetry \n",
            "Label: 0\n",
            "Index: 8\n",
            "\n",
            "Sentence: are more deeply thought through than in most ` right-thinking ' films \n",
            "Label: 1\n",
            "Index: 9\n",
            "\n",
            "Sentence: goes to absurd lengths \n",
            "Label: 0\n",
            "Index: 10\n",
            "\n",
            "Sentence: for those moviegoers who complain that ` they do n't make movies like they used to anymore \n",
            "Label: 0\n",
            "Index: 11\n",
            "\n",
            "Sentence: the part where nothing 's happening , \n",
            "Label: 0\n",
            "Index: 12\n",
            "\n",
            "Sentence: saw how bad this movie was \n",
            "Label: 0\n",
            "Index: 13\n",
            "\n",
            "Sentence: lend some dignity to a dumb story \n",
            "Label: 0\n",
            "Index: 14\n",
            "\n",
            "Sentence: the greatest musicians \n",
            "Label: 1\n",
            "Index: 15\n",
            "\n",
            "Sentence: cold movie \n",
            "Label: 0\n",
            "Index: 16\n",
            "\n",
            "Sentence: with his usual intelligence and subtlety \n",
            "Label: 1\n",
            "Index: 17\n",
            "\n",
            "Sentence: redundant concept \n",
            "Label: 0\n",
            "Index: 18\n",
            "\n",
            "Sentence: swimming is above all about a young woman 's face , and by casting an actress whose face projects that woman 's doubts and yearnings , it succeeds . \n",
            "Label: 1\n",
            "Index: 19\n",
            "\n",
            "Sentence: equals the original and in some ways even betters it \n",
            "Label: 1\n",
            "Index: 20\n",
            "\n",
            "Sentence: if anything , see it for karen black , who camps up a storm as a fringe feminist conspiracy theorist named dirty dick . \n",
            "Label: 1\n",
            "Index: 21\n",
            "\n",
            "Sentence: a smile on your face \n",
            "Label: 1\n",
            "Index: 22\n",
            "\n",
            "Sentence: comes from the brave , uninhibited performances \n",
            "Label: 1\n",
            "Index: 23\n",
            "\n",
            "Sentence: excruciatingly unfunny and pitifully unromantic \n",
            "Label: 0\n",
            "Index: 24\n",
            "\n",
            "Sentence: enriched by an imaginatively mixed cast of antic spirits \n",
            "Label: 1\n",
            "Index: 25\n",
            "\n",
            "Sentence: which half of dragonfly is worse : the part where nothing 's happening , or the part where something 's happening \n",
            "Label: 0\n",
            "Index: 26\n",
            "\n",
            "Sentence: in world cinema \n",
            "Label: 1\n",
            "Index: 27\n",
            "\n",
            "Sentence: very good viewing alternative \n",
            "Label: 1\n",
            "Index: 28\n",
            "\n",
            "Sentence: the plot is nothing but boilerplate clichés from start to finish , \n",
            "Label: 0\n",
            "Index: 29\n",
            "\n",
            "Sentence: the action is stilted \n",
            "Label: 0\n",
            "Index: 30\n",
            "\n",
            "Sentence: on all cylinders \n",
            "Label: 1\n",
            "Index: 31\n",
            "\n",
            "Sentence: will find little of interest in this film , which is often preachy and poorly acted \n",
            "Label: 0\n",
            "Index: 32\n",
            "\n",
            "Sentence: by far the worst movie of the year \n",
            "Label: 0\n",
            "Index: 33\n",
            "\n",
            "Sentence: sit through , \n",
            "Label: 0\n",
            "Index: 34\n",
            "\n",
            "Sentence: more than another `` best man '' clone by weaving a theme throughout this funny film \n",
            "Label: 1\n",
            "Index: 35\n",
            "\n",
            "Sentence: it 's about issues most adults have to face in marriage and i think that 's what i liked about it -- the real issues tucked between the silly and crude storyline \n",
            "Label: 1\n",
            "Index: 36\n",
            "\n",
            "Sentence: heroes \n",
            "Label: 1\n",
            "Index: 37\n",
            "\n",
            "Sentence: oblivious to the existence of this film \n",
            "Label: 0\n",
            "Index: 38\n",
            "\n",
            "Sentence: sharply \n",
            "Label: 1\n",
            "Index: 39\n",
            "\n",
            "Sentence: the entire point of a shaggy dog story , of course , is that it goes nowhere , and this is classic nowheresville in every sense . \n",
            "Label: 0\n",
            "Index: 40\n",
            "\n",
            "Sentence: sometimes dry \n",
            "Label: 0\n",
            "Index: 41\n",
            "\n",
            "Sentence: as they come , already having been recycled more times than i 'd care to count \n",
            "Label: 0\n",
            "Index: 42\n",
            "\n",
            "Sentence: covers this territory with wit and originality , suggesting that with his fourth feature \n",
            "Label: 1\n",
            "Index: 43\n",
            "\n",
            "Sentence: a $ 40 million version of a game \n",
            "Label: 0\n",
            "Index: 44\n",
            "\n",
            "Sentence: gorgeous and deceptively minimalist \n",
            "Label: 1\n",
            "Index: 45\n",
            "\n",
            "Sentence: cross swords with the best of them and \n",
            "Label: 1\n",
            "Index: 46\n",
            "\n",
            "Sentence: as a fringe feminist conspiracy theorist \n",
            "Label: 0\n",
            "Index: 47\n",
            "\n",
            "Sentence: proves once again he has n't lost his touch , bringing off a superb performance in an admittedly middling film . \n",
            "Label: 1\n",
            "Index: 48\n",
            "\n",
            "Sentence: disappointments \n",
            "Label: 0\n",
            "Index: 49\n",
            "\n",
            "Sentence: the horrors \n",
            "Label: 0\n",
            "Index: 50\n",
            "\n",
            "Sentence: a muddle splashed with bloody beauty as vivid as any scorsese has ever given us . \n",
            "Label: 1\n",
            "Index: 51\n",
            "\n",
            "Sentence: many pointless \n",
            "Label: 0\n",
            "Index: 52\n",
            "\n",
            "Sentence: a beautifully \n",
            "Label: 1\n",
            "Index: 53\n",
            "\n",
            "Sentence: contrived , well-worn situations \n",
            "Label: 0\n",
            "Index: 54\n",
            "\n",
            "Sentence: a doa \n",
            "Label: 0\n",
            "Index: 55\n",
            "\n",
            "Sentence: poor ben bratt could n't find stardom if mapquest emailed him point-to-point driving directions . \n",
            "Label: 0\n",
            "Index: 56\n",
            "\n",
            "Sentence: to be as subtle and touching as the son 's room \n",
            "Label: 1\n",
            "Index: 57\n",
            "\n",
            "Sentence: starts with a legend \n",
            "Label: 1\n",
            "Index: 58\n",
            "\n",
            "Sentence: far less sophisticated and \n",
            "Label: 0\n",
            "Index: 59\n",
            "\n",
            "Sentence: rich veins of funny stuff in this movie \n",
            "Label: 1\n",
            "Index: 60\n",
            "\n",
            "Sentence: no apparent joy \n",
            "Label: 0\n",
            "Index: 61\n",
            "\n",
            "Sentence: shot on ugly digital video \n",
            "Label: 0\n",
            "Index: 62\n",
            "\n",
            "Sentence: ... a sour little movie at its core ; an exploration of the emptiness that underlay the relentless gaiety of the 1920 's ... the film 's ending has a `` what was it all for ? '' \n",
            "Label: 0\n",
            "Index: 63\n",
            "\n",
            "Sentence: though ford and neeson capably hold our interest , but its just not a thrilling movie \n",
            "Label: 0\n",
            "Index: 64\n",
            "\n",
            "Sentence: is pretty damned funny . \n",
            "Label: 1\n",
            "Index: 65\n",
            "\n",
            "Sentence: we never feel anything for these characters \n",
            "Label: 0\n",
            "Index: 66\n",
            "\n",
            "Sentence: 's a lousy one at that \n",
            "Label: 0\n",
            "Index: 67\n",
            "\n",
            "Sentence: the corporate circus that is the recording industry in the current climate of mergers and downsizing \n",
            "Label: 0\n",
            "Index: 68\n",
            "\n",
            "Sentence: the storylines are woven together skilfully , the magnificent swooping aerial shots are breathtaking , and the overall experience is awesome . \n",
            "Label: 1\n",
            "Index: 69\n",
            "\n",
            "Sentence: of the most highly-praised disappointments i \n",
            "Label: 0\n",
            "Index: 70\n",
            "\n",
            "Sentence: sounds like a cruel deception carried out by men of marginal intelligence , with reactionary ideas about women and a total lack of empathy . \n",
            "Label: 0\n",
            "Index: 71\n",
            "\n",
            "Sentence: seem fresh \n",
            "Label: 1\n",
            "Index: 72\n",
            "\n",
            "Sentence: to the dustbin of history \n",
            "Label: 0\n",
            "Index: 73\n",
            "\n",
            "Sentence: as a director , eastwood is off his game \n",
            "Label: 0\n",
            "Index: 74\n",
            "\n",
            "Sentence: pays earnest homage to turntablists \n",
            "Label: 1\n",
            "Index: 75\n",
            "\n",
            "Sentence: weak and \n",
            "Label: 0\n",
            "Index: 76\n",
            "\n",
            "Sentence: skip this dreck , \n",
            "Label: 0\n",
            "Index: 77\n",
            "\n",
            "Sentence: contains very few laughs and even less surprises \n",
            "Label: 0\n",
            "Index: 78\n",
            "\n",
            "Sentence: film to affirm love 's power to help people endure almost unimaginable horror \n",
            "Label: 1\n",
            "Index: 79\n",
            "\n",
            "Sentence: are an absolute joy \n",
            "Label: 1\n",
            "Index: 80\n",
            "\n",
            "Sentence: generates \n",
            "Label: 1\n",
            "Index: 81\n",
            "\n",
            "Sentence: , like life , is n't much fun without the highs and lows \n",
            "Label: 1\n",
            "Index: 82\n",
            "\n",
            "Sentence: based on a true and historically significant story \n",
            "Label: 1\n",
            "Index: 83\n",
            "\n",
            "Sentence: well-rounded tribute \n",
            "Label: 1\n",
            "Index: 84\n",
            "\n",
            "Sentence: , though many of the actors throw off a spark or two when they first appear , they ca n't generate enough heat in this cold vacuum of a comedy to start a reaction . \n",
            "Label: 0\n",
            "Index: 85\n",
            "\n",
            "Sentence: so much like a young robert deniro \n",
            "Label: 1\n",
            "Index: 86\n",
            "\n",
            "Sentence: khouri manages , with terrific flair , to keep the extremes of screwball farce and blood-curdling family intensity on one continuum . \n",
            "Label: 1\n",
            "Index: 87\n",
            "\n",
            "Sentence: fashioning an engrossing entertainment out \n",
            "Label: 1\n",
            "Index: 88\n",
            "\n",
            "Sentence: spiffy animated feature \n",
            "Label: 1\n",
            "Index: 89\n",
            "\n",
            "Sentence: that 's so sloppily written and cast that you can not believe anyone more central to the creation of bugsy than the caterer \n",
            "Label: 0\n",
            "Index: 90\n",
            "\n",
            "Sentence: alternating between facetious comic parody and pulp melodrama , this smart-aleck movie ... tosses around some intriguing questions about the difference between human and android life \n",
            "Label: 1\n",
            "Index: 91\n",
            "\n",
            "Sentence: strung-together moments \n",
            "Label: 0\n",
            "Index: 92\n",
            "\n",
            "Sentence: , generous and subversive artworks \n",
            "Label: 1\n",
            "Index: 93\n",
            "\n",
            "Sentence: it does n't follow the stale , standard , connect-the-dots storyline which has become commonplace in movies that explore the seamy underbelly of the criminal world \n",
            "Label: 1\n",
            "Index: 94\n",
            "\n",
            "Sentence: funny yet \n",
            "Label: 1\n",
            "Index: 95\n",
            "\n",
            "Sentence: overbearing and over-the-top \n",
            "Label: 0\n",
            "Index: 96\n",
            "\n",
            "Sentence: it 's robert duvall ! \n",
            "Label: 1\n",
            "Index: 97\n",
            "\n",
            "Sentence: rich and sudden wisdom \n",
            "Label: 1\n",
            "Index: 98\n",
            "\n",
            "Sentence: acted and directed , it 's clear that washington most certainly has a new career ahead of him \n",
            "Label: 1\n",
            "Index: 99\n",
            "\n",
            "Sentence: in memory \n",
            "Label: 1\n",
            "Index: 100\n",
            "\n",
            "Sentence: respectable new one \n",
            "Label: 1\n",
            "Index: 101\n",
            "\n",
            "Sentence: yet this grating showcase \n",
            "Label: 0\n",
            "Index: 102\n",
            "\n",
            "Sentence: hate to tear your eyes away from the images long enough to read the subtitles \n",
            "Label: 1\n",
            "Index: 103\n",
            "\n",
            "Sentence: addition to sporting one of the worst titles in recent cinematic history \n",
            "Label: 0\n",
            "Index: 104\n",
            "\n",
            "Sentence: , this gender-bending comedy is generally quite funny . \n",
            "Label: 1\n",
            "Index: 105\n",
            "\n",
            "Sentence: build some robots , haul 'em to the theater with you for the late show , and put on your own mystery science theatre 3000 tribute to what is almost certainly going to go down as the worst -- and only -- killer website movie of this or any other year \n",
            "Label: 0\n",
            "Index: 106\n",
            "\n",
            "Sentence: do n't work in concert \n",
            "Label: 0\n",
            "Index: 107\n",
            "\n",
            "Sentence: the direction has a fluid , no-nonsense authority , and the performances by harris , phifer and cam ` ron seal the deal . \n",
            "Label: 1\n",
            "Index: 108\n",
            "\n",
            "Sentence: would have liked it more if it had just gone that one step further \n",
            "Label: 1\n",
            "Index: 109\n",
            "\n",
            "Sentence: it 's too harsh to work as a piece of storytelling , \n",
            "Label: 0\n",
            "Index: 110\n",
            "\n",
            "Sentence: hawaiian shirt \n",
            "Label: 1\n",
            "Index: 111\n",
            "\n",
            "Sentence: takes a classic story , casts attractive and talented actors and uses a magnificent landscape to create a feature film that is wickedly fun to watch . \n",
            "Label: 1\n",
            "Index: 112\n",
            "\n",
            "Sentence: provide its keenest pleasures \n",
            "Label: 1\n",
            "Index: 113\n",
            "\n",
            "Sentence: altogether too slight to be called any kind of masterpiece \n",
            "Label: 0\n",
            "Index: 114\n",
            "\n",
            "Sentence: grievous but \n",
            "Label: 0\n",
            "Index: 115\n",
            "\n",
            "Sentence: after you laugh once ( maybe twice ) , you will have completely forgotten the movie by the time you get back to your car in the parking lot . \n",
            "Label: 0\n",
            "Index: 116\n",
            "\n",
            "Sentence: hopeless \n",
            "Label: 0\n",
            "Index: 117\n",
            "\n",
            "Sentence: unpretentious , charming , quirky , original \n",
            "Label: 1\n",
            "Index: 118\n",
            "\n",
            "Sentence: nicks and steinberg match their own creations for pure venality -- that 's giving it the old college try . \n",
            "Label: 0\n",
            "Index: 119\n",
            "\n",
            "Sentence: very well-written and very well-acted . \n",
            "Label: 1\n",
            "Index: 120\n",
            "\n",
            "Sentence: are n't many conclusive answers in the film \n",
            "Label: 0\n",
            "Index: 121\n",
            "\n",
            "Sentence: clumsy dialogue , heavy-handed phoney-feeling sentiment , \n",
            "Label: 0\n",
            "Index: 122\n",
            "\n",
            "Sentence: proves a lovely trifle that , unfortunately , is a little too in love with its own cuteness . \n",
            "Label: 0\n",
            "Index: 123\n",
            "\n",
            "Sentence: bring tissues . \n",
            "Label: 1\n",
            "Index: 124\n",
            "\n",
            "Sentence: the film 's mid-to-low budget is betrayed by the surprisingly shoddy makeup work . \n",
            "Label: 0\n",
            "Index: 125\n",
            "\n",
            "Sentence: brings the proper conviction to his role as ( jason bourne ) . \n",
            "Label: 1\n",
            "Index: 126\n",
            "\n",
            "Sentence: as a young woman of great charm , generosity and diplomacy \n",
            "Label: 1\n",
            "Index: 127\n",
            "\n",
            "Sentence: there 's something poignant about an artist of 90-plus years taking the effort to share his impressions of life and loss and time and art with us . \n",
            "Label: 1\n",
            "Index: 128\n",
            "\n",
            "Sentence: just too silly \n",
            "Label: 0\n",
            "Index: 129\n",
            "\n",
            "Sentence: cinematic bon bons \n",
            "Label: 1\n",
            "Index: 130\n",
            "\n",
            "Sentence: it is supremely unfunny and unentertaining to watch middle-age and \n",
            "Label: 0\n",
            "Index: 131\n",
            "\n",
            "Sentence: a lively and engaging examination of how similar obsessions can dominate a family . \n",
            "Label: 1\n",
            "Index: 132\n",
            "\n",
            "Sentence: irritates and \n",
            "Label: 0\n",
            "Index: 133\n",
            "\n",
            "Sentence: collapse \n",
            "Label: 0\n",
            "Index: 134\n",
            "\n",
            "Sentence: so many of the challenges it poses for itself that one can forgive the film its flaws \n",
            "Label: 1\n",
            "Index: 135\n",
            "\n",
            "Sentence: , it serves as a workable primer for the region 's recent history , and would make a terrific 10th-grade learning tool . \n",
            "Label: 1\n",
            "Index: 136\n",
            "\n",
            "Sentence: wide-awake all the way through \n",
            "Label: 1\n",
            "Index: 137\n",
            "\n",
            "Sentence: ( vainly , i think ) \n",
            "Label: 0\n",
            "Index: 138\n",
            "\n",
            "Sentence: is one big excuse to play one lewd scene after another . \n",
            "Label: 0\n",
            "Index: 139\n",
            "\n",
            "Sentence: is effective if you stick with it \n",
            "Label: 1\n",
            "Index: 140\n",
            "\n",
            "Sentence: that underscore the importance of family tradition and familial community \n",
            "Label: 1\n",
            "Index: 141\n",
            "\n",
            "Sentence: delivers what it promises : a look at the `` wild ride '' that ensues when brash young men set out to conquer the online world with laptops , cell phones and sketchy business plans \n",
            "Label: 1\n",
            "Index: 142\n",
            "\n",
            "Sentence: watching this digital-effects-heavy , supposed family-friendly comedy \n",
            "Label: 0\n",
            "Index: 143\n",
            "\n",
            "Sentence: absolutely and completely ridiculous and \n",
            "Label: 0\n",
            "Index: 144\n",
            "\n",
            "Sentence: 's a very tasteful rock and roll movie . \n",
            "Label: 1\n",
            "Index: 145\n",
            "\n",
            "Sentence: the movie is almost completely lacking in suspense , surprise and consistent emotional conviction . \n",
            "Label: 0\n",
            "Index: 146\n",
            "\n",
            "Sentence: realistic portrayal \n",
            "Label: 1\n",
            "Index: 147\n",
            "\n",
            "Sentence: as if trying to grab a lump of play-doh , the harder that liman tries to squeeze his story \n",
            "Label: 0\n",
            "Index: 148\n",
            "\n",
            "Sentence: well-thought stunts or \n",
            "Label: 1\n",
            "Index: 149\n",
            "\n",
            "Sentence: reveals how important our special talents can be when put in service of of others . \n",
            "Label: 1\n",
            "Index: 150\n",
            "\n",
            "Sentence: no lika da \n",
            "Label: 0\n",
            "Index: 151\n",
            "\n",
            "Sentence: a welcome relief \n",
            "Label: 1\n",
            "Index: 152\n",
            "\n",
            "Sentence: the promise of digital filmmaking \n",
            "Label: 1\n",
            "Index: 153\n",
            "\n",
            "Sentence: just one that could easily wait for your pay per view dollar \n",
            "Label: 0\n",
            "Index: 154\n",
            "\n",
            "Sentence: justify a theatrical simulation of the death camp of auschwitz ii-birkenau \n",
            "Label: 0\n",
            "Index: 155\n",
            "\n",
            "Sentence: extraordinary faith \n",
            "Label: 1\n",
            "Index: 156\n",
            "\n",
            "Sentence: have i seen a film so willing to champion the fallibility of the human heart \n",
            "Label: 1\n",
            "Index: 157\n",
            "\n",
            "Sentence: , sometimes beautiful adaptation \n",
            "Label: 1\n",
            "Index: 158\n",
            "\n",
            "Sentence: about as interesting \n",
            "Label: 0\n",
            "Index: 159\n",
            "\n",
            "Sentence: caruso sometimes descends into sub-tarantino cuteness ... but for the most part he makes sure the salton sea works the way a good noir should , keeping it tight and nasty . \n",
            "Label: 1\n",
            "Index: 160\n",
            "\n",
            "Sentence: overlong , and bombastic \n",
            "Label: 0\n",
            "Index: 161\n",
            "\n",
            "Sentence: derivative and hammily \n",
            "Label: 0\n",
            "Index: 162\n",
            "\n",
            "Sentence: most audacious , outrageous , \n",
            "Label: 1\n",
            "Index: 163\n",
            "\n",
            "Sentence: at its best moments \n",
            "Label: 1\n",
            "Index: 164\n",
            "\n",
            "Sentence: disney again ransacks its archives for a quick-buck sequel . \n",
            "Label: 0\n",
            "Index: 165\n",
            "\n",
            "Sentence: that final , beautiful scene \n",
            "Label: 1\n",
            "Index: 166\n",
            "\n",
            "Sentence: some movies suck you in despite their flaws , \n",
            "Label: 1\n",
            "Index: 167\n",
            "\n",
            "Sentence: eats , meddles , argues , laughs , kibbitzes and fights \n",
            "Label: 1\n",
            "Index: 168\n",
            "\n",
            "Sentence: the problem with the film is whether these ambitions , laudable in themselves , justify a theatrical simulation of the death camp of auschwitz ii-birkenau . \n",
            "Label: 0\n",
            "Index: 169\n",
            "\n",
            "Sentence: , compelling \n",
            "Label: 1\n",
            "Index: 170\n",
            "\n",
            "Sentence: infectiously \n",
            "Label: 1\n",
            "Index: 171\n",
            "\n",
            "Sentence: the picture runs a mere 84 minutes , but it 's no glance . \n",
            "Label: 1\n",
            "Index: 172\n",
            "\n",
            "Sentence: think of this dog of a movie \n",
            "Label: 0\n",
            "Index: 173\n",
            "\n",
            "Sentence: 's remarkable procession of sweeping pictures that have reinvigorated the romance genre . \n",
            "Label: 1\n",
            "Index: 174\n",
            "\n",
            "Sentence: those so-so films that could have been much better \n",
            "Label: 0\n",
            "Index: 175\n",
            "\n",
            "Sentence: a passable date film \n",
            "Label: 1\n",
            "Index: 176\n",
            "\n",
            "Sentence: imax in short \n",
            "Label: 1\n",
            "Index: 177\n",
            "\n",
            "Sentence: i hate it . \n",
            "Label: 0\n",
            "Index: 178\n",
            "\n",
            "Sentence: 's pleasant enough -- and oozing with attractive men \n",
            "Label: 1\n",
            "Index: 179\n",
            "\n",
            "Sentence: no one involved , save dash , shows the slightest aptitude for acting \n",
            "Label: 0\n",
            "Index: 180\n",
            "\n",
            "Sentence: in this wildly uneven movie \n",
            "Label: 0\n",
            "Index: 181\n",
            "\n",
            "Sentence: pokes , provokes , takes expressionistic license \n",
            "Label: 1\n",
            "Index: 182\n",
            "\n",
            "Sentence: like one of ( spears ' ) music videos in content -- except that it goes on for at least 90 more minutes and , worse , that you have to pay if you want to see it \n",
            "Label: 0\n",
            "Index: 183\n",
            "\n",
            "Sentence: with color and depth , and rather a good time \n",
            "Label: 1\n",
            "Index: 184\n",
            "\n",
            "Sentence: silly , outrageous , ingenious \n",
            "Label: 1\n",
            "Index: 185\n",
            "\n",
            "Sentence: being able to hit on a 15-year old when you 're over 100 \n",
            "Label: 0\n",
            "Index: 186\n",
            "\n",
            "Sentence: the story of trouble every day ... is so sketchy it amounts to little more than preliminary notes for a science-fiction horror film , and the movie 's fragmentary narrative style makes piecing the story together frustrating difficult . \n",
            "Label: 0\n",
            "Index: 187\n",
            "\n",
            "Sentence: the year 's best and most unpredictable comedy \n",
            "Label: 1\n",
            "Index: 188\n",
            "\n",
            "Sentence: starts off so bad that you feel like running out screaming \n",
            "Label: 0\n",
            "Index: 189\n",
            "\n",
            "Sentence: men in black ii achieves ultimate insignificance -- it 's the sci-fi comedy spectacle as whiffle-ball epic . \n",
            "Label: 0\n",
            "Index: 190\n",
            "\n",
            "Sentence: elvira fans could hardly ask for more . \n",
            "Label: 1\n",
            "Index: 191\n",
            "\n",
            "Sentence: a good one \n",
            "Label: 1\n",
            "Index: 192\n",
            "\n",
            "Sentence: , plodding picture \n",
            "Label: 0\n",
            "Index: 193\n",
            "\n",
            "Sentence: the character dramas , which never reach satisfying conclusions \n",
            "Label: 0\n",
            "Index: 194\n",
            "\n",
            "Sentence: lost in the translation this time \n",
            "Label: 0\n",
            "Index: 195\n",
            "\n",
            "Sentence: speak for it while it forces you to ponder anew what a movie can be \n",
            "Label: 1\n",
            "Index: 196\n",
            "\n",
            "Sentence: enables shafer to navigate spaces both large ... and small ... with considerable aplomb \n",
            "Label: 1\n",
            "Index: 197\n",
            "\n",
            "Sentence: a plot cobbled together from largely flat and uncreative moments \n",
            "Label: 0\n",
            "Index: 198\n",
            "\n",
            "Sentence: inane and awful \n",
            "Label: 0\n",
            "Index: 199\n",
            "\n",
            "Sentence: told in scattered fashion \n",
            "Label: 0\n",
            "Index: 200\n",
            "\n",
            "Sentence: takes chances that are bold by studio standards \n",
            "Label: 1\n",
            "Index: 201\n",
            "\n",
            "Sentence: believe it or not , jason actually takes a backseat in his own film to special effects \n",
            "Label: 0\n",
            "Index: 202\n",
            "\n",
            "Sentence: only thing to fear about `` fear dot com '' \n",
            "Label: 0\n",
            "Index: 203\n",
            "\n",
            "Sentence: whole mess \n",
            "Label: 0\n",
            "Index: 204\n",
            "\n",
            "Sentence: manages to infuse the rocky path to sibling reconciliation with flashes of warmth and gentle humor \n",
            "Label: 1\n",
            "Index: 205\n",
            "\n",
            "Sentence: working from a surprisingly sensitive script co-written by gianni romoli ... ozpetek avoids most of the pitfalls you 'd expect in such a potentially sudsy set-up . \n",
            "Label: 1\n",
            "Index: 206\n",
            "\n",
            "Sentence: a résumé loaded with credits like `` girl in bar # 3 \n",
            "Label: 0\n",
            "Index: 207\n",
            "\n",
            "Sentence: enjoy the ride \n",
            "Label: 1\n",
            "Index: 208\n",
            "\n",
            "Sentence: very little to add beyond the dark visions already relayed by superb recent predecessors \n",
            "Label: 0\n",
            "Index: 209\n",
            "\n",
            "Sentence: the , yes , snail-like pacing \n",
            "Label: 0\n",
            "Index: 210\n",
            "\n",
            "Sentence: an extremely unpleasant film . \n",
            "Label: 0\n",
            "Index: 211\n",
            "\n",
            "Sentence: if it is n't entirely persuasive , it does give exposure to some talented performers \n",
            "Label: 1\n",
            "Index: 212\n",
            "\n",
            "Sentence: the whole affair , true story or not , feels incredibly hokey ... \n",
            "Label: 0\n",
            "Index: 213\n",
            "\n",
            "Sentence: are all things we 've seen before \n",
            "Label: 0\n",
            "Index: 214\n",
            "\n",
            "Sentence: poignant and leavened \n",
            "Label: 1\n",
            "Index: 215\n",
            "\n",
            "Sentence: breathless anticipation \n",
            "Label: 1\n",
            "Index: 216\n",
            "\n",
            "Sentence: significantly better \n",
            "Label: 1\n",
            "Index: 217\n",
            "\n",
            "Sentence: as predictable as the tides \n",
            "Label: 0\n",
            "Index: 218\n",
            "\n",
            "Sentence: bewilderingly brilliant and entertaining \n",
            "Label: 1\n",
            "Index: 219\n",
            "\n",
            "Sentence: it 's smooth and professional \n",
            "Label: 1\n",
            "Index: 220\n",
            "\n",
            "Sentence: , unassuming , subordinate \n",
            "Label: 0\n",
            "Index: 221\n",
            "\n",
            "Sentence: the horror \n",
            "Label: 0\n",
            "Index: 222\n",
            "\n",
            "Sentence: a technically superb film \n",
            "Label: 1\n",
            "Index: 223\n",
            "\n",
            "Sentence: the positive change in tone here seems to have recharged him . \n",
            "Label: 1\n",
            "Index: 224\n",
            "\n",
            "Sentence: pays earnest homage to turntablists and beat jugglers , old schoolers and current innovators \n",
            "Label: 1\n",
            "Index: 225\n",
            "\n",
            "Sentence: a dim \n",
            "Label: 0\n",
            "Index: 226\n",
            "\n",
            "Sentence: , vicious and absurd \n",
            "Label: 0\n",
            "Index: 227\n",
            "\n",
            "Sentence: because he acts so goofy all the time \n",
            "Label: 0\n",
            "Index: 228\n",
            "\n",
            "Sentence: to a kinetic life so teeming that even cranky adults may rediscover the quivering kid inside \n",
            "Label: 1\n",
            "Index: 229\n",
            "\n",
            "Sentence: 's at once laughable and compulsively watchable , \n",
            "Label: 1\n",
            "Index: 230\n",
            "\n",
            "Sentence: merit its 103-minute length \n",
            "Label: 1\n",
            "Index: 231\n",
            "\n",
            "Sentence: the value and respect for the term epic cinema \n",
            "Label: 1\n",
            "Index: 232\n",
            "\n",
            "Sentence: as a dentist 's waiting room \n",
            "Label: 0\n",
            "Index: 233\n",
            "\n",
            "Sentence: showing honest emotions \n",
            "Label: 1\n",
            "Index: 234\n",
            "\n",
            "Sentence: amazingly lame . \n",
            "Label: 0\n",
            "Index: 235\n",
            "\n",
            "Sentence: confessions may not be a straightforward bio \n",
            "Label: 0\n",
            "Index: 236\n",
            "\n",
            "Sentence: seems a disappointingly thin slice of lower-class london life ; despite the title ... amounts to surprisingly little \n",
            "Label: 0\n",
            "Index: 237\n",
            "\n",
            "Sentence: the story is bogus and \n",
            "Label: 0\n",
            "Index: 238\n",
            "\n",
            "Sentence: this comic gem is as delightful as it is derivative . \n",
            "Label: 1\n",
            "Index: 239\n",
            "\n",
            "Sentence: to spare wildlife \n",
            "Label: 1\n",
            "Index: 240\n",
            "\n",
            "Sentence: ugly as the shabby digital photography \n",
            "Label: 0\n",
            "Index: 241\n",
            "\n",
            "Sentence: understand the difference between dumb fun and just plain dumb \n",
            "Label: 0\n",
            "Index: 242\n",
            "\n",
            "Sentence: traditionally structured \n",
            "Label: 1\n",
            "Index: 243\n",
            "\n",
            "Sentence: frida is n't that much different from many a hollywood romance . \n",
            "Label: 0\n",
            "Index: 244\n",
            "\n",
            "Sentence: does point the way for adventurous indian filmmakers toward a crossover into nonethnic markets . \n",
            "Label: 1\n",
            "Index: 245\n",
            "\n",
            "Sentence: are worth the price of admission ... if `` gory mayhem '' is your idea of a good time \n",
            "Label: 1\n",
            "Index: 246\n",
            "\n",
            "Sentence: was produced by jerry bruckheimer and directed by joel schumacher , and reflects the worst of their shallow styles : wildly overproduced , inadequately motivated every step of the way and demographically targeted to please every one ( and no one ) \n",
            "Label: 0\n",
            "Index: 247\n",
            "\n",
            "Sentence: carnage and \n",
            "Label: 0\n",
            "Index: 248\n",
            "\n",
            "Sentence: degraded , handheld blair witch video-cam footage \n",
            "Label: 0\n",
            "Index: 249\n",
            "\n",
            "Sentence: second fiddle \n",
            "Label: 0\n",
            "Index: 250\n",
            "\n",
            "Sentence: about the folly of superficiality that is itself \n",
            "Label: 0\n",
            "Index: 251\n",
            "\n",
            "Sentence: serves as auto-critique , and its clumsiness as its own most damning censure . \n",
            "Label: 0\n",
            "Index: 252\n",
            "\n",
            "Sentence: tedious norwegian offering which somehow snagged an oscar nomination . \n",
            "Label: 0\n",
            "Index: 253\n",
            "\n",
            "Sentence: , esther kahn is unusual but unfortunately also irritating . \n",
            "Label: 0\n",
            "Index: 254\n",
            "\n",
            "Sentence: a stylish exercise \n",
            "Label: 1\n",
            "Index: 255\n",
            "\n",
            "Sentence: halfway through this picture i was beginning to hate it \n",
            "Label: 0\n",
            "Index: 256\n",
            "\n",
            "Sentence: a setup so easy it borders on facile \n",
            "Label: 0\n",
            "Index: 257\n",
            "\n",
            "Sentence: a thoroughly awful movie \n",
            "Label: 0\n",
            "Index: 258\n",
            "\n",
            "Sentence: takes hold and grips hard \n",
            "Label: 1\n",
            "Index: 259\n",
            "\n",
            "Sentence: look smeary and blurry , to the point of distraction \n",
            "Label: 0\n",
            "Index: 260\n",
            "\n",
            "Sentence: the picture 's fascinating byways \n",
            "Label: 1\n",
            "Index: 261\n",
            "\n",
            "Sentence: guns , cheatfully filmed martial arts , disintegrating bloodsucker computer effects and jagged camera moves \n",
            "Label: 0\n",
            "Index: 262\n",
            "\n",
            "Sentence: breezy , distracted rhythms \n",
            "Label: 0\n",
            "Index: 263\n",
            "\n",
            "Sentence: than this mess \n",
            "Label: 0\n",
            "Index: 264\n",
            "\n",
            "Sentence: evanescent , seamless and sumptuous stream \n",
            "Label: 1\n",
            "Index: 265\n",
            "\n",
            "Sentence: slick and manufactured to claim street credibility . \n",
            "Label: 1\n",
            "Index: 266\n",
            "\n",
            "Sentence: take care is nicely performed by a quintet of actresses , \n",
            "Label: 1\n",
            "Index: 267\n",
            "\n",
            "Sentence: valuable messages \n",
            "Label: 1\n",
            "Index: 268\n",
            "\n",
            "Sentence: in no small part thanks to lau \n",
            "Label: 1\n",
            "Index: 269\n",
            "\n",
            "Sentence: two guys who desperately want to be quentin tarantino when they grow up \n",
            "Label: 0\n",
            "Index: 270\n",
            "\n",
            "Sentence: no new plot conceptions \n",
            "Label: 0\n",
            "Index: 271\n",
            "\n",
            "Sentence: essentially a collection of bits -- \n",
            "Label: 0\n",
            "Index: 272\n",
            "\n",
            "Sentence: does n't bode well for the rest of it \n",
            "Label: 0\n",
            "Index: 273\n",
            "\n",
            "Sentence: elevated by it -- the kind of movie \n",
            "Label: 1\n",
            "Index: 274\n",
            "\n",
            "Sentence: usual worst \n",
            "Label: 0\n",
            "Index: 275\n",
            "\n",
            "Sentence: hugh grant , who has a good line in charm \n",
            "Label: 1\n",
            "Index: 276\n",
            "\n",
            "Sentence: arrive early and stay late \n",
            "Label: 1\n",
            "Index: 277\n",
            "\n",
            "Sentence: is a pan-american movie , with moments of genuine insight into the urban heart . \n",
            "Label: 1\n",
            "Index: 278\n",
            "\n",
            "Sentence: i could have used my two hours better watching being john malkovich again . \n",
            "Label: 0\n",
            "Index: 279\n",
            "\n",
            "Sentence: shot in artful , watery tones of blue , green and brown \n",
            "Label: 1\n",
            "Index: 280\n",
            "\n",
            "Sentence: an unorthodox little film noir organized crime story that includes one of the strangest \n",
            "Label: 1\n",
            "Index: 281\n",
            "\n",
            "Sentence: considerable aplomb \n",
            "Label: 1\n",
            "Index: 282\n",
            "\n",
            "Sentence: acted by diane lane and richard gere . \n",
            "Label: 1\n",
            "Index: 283\n",
            "\n",
            "Sentence: scant \n",
            "Label: 0\n",
            "Index: 284\n",
            "\n",
            "Sentence: an admittedly middling film \n",
            "Label: 1\n",
            "Index: 285\n",
            "\n",
            "Sentence: too ludicrous \n",
            "Label: 0\n",
            "Index: 286\n",
            "\n",
            "Sentence: the rock 's fighting skills are more in line with steven seagal \n",
            "Label: 1\n",
            "Index: 287\n",
            "\n",
            "Sentence: rich and full \n",
            "Label: 1\n",
            "Index: 288\n",
            "\n",
            "Sentence: warm water under a red bridge is a celebration of feminine energy , a tribute to the power of women to heal . \n",
            "Label: 1\n",
            "Index: 289\n",
            "\n",
            "Sentence: that uses a sensational , real-life 19th-century crime as a metaphor for \n",
            "Label: 1\n",
            "Index: 290\n",
            "\n",
            "Sentence: , home movie will leave you wanting more , not to mention leaving you with some laughs and a smile on your face . \n",
            "Label: 1\n",
            "Index: 291\n",
            "\n",
            "Sentence: , the film retains ambiguities that make it well worth watching . \n",
            "Label: 1\n",
            "Index: 292\n",
            "\n",
            "Sentence: ultra-cheesy dialogue \n",
            "Label: 0\n",
            "Index: 293\n",
            "\n",
            "Sentence: added depth and resonance \n",
            "Label: 1\n",
            "Index: 294\n",
            "\n",
            "Sentence: the sensational \n",
            "Label: 1\n",
            "Index: 295\n",
            "\n",
            "Sentence: huge-screen format to make an old-fashioned nature film that educates viewers with words and pictures while entertaining them \n",
            "Label: 1\n",
            "Index: 296\n",
            "\n",
            "Sentence: handsome but unfulfilling suspense drama \n",
            "Label: 0\n",
            "Index: 297\n",
            "\n",
            "Sentence: 's not very good either . \n",
            "Label: 0\n",
            "Index: 298\n",
            "\n",
            "Sentence: in her most charmless \n",
            "Label: 0\n",
            "Index: 299\n",
            "\n",
            "Sentence: makes an unusual but pleasantly haunting debut behind the camera . \n",
            "Label: 1\n",
            "Index: 300\n",
            "\n",
            "Sentence: a fine , rousing , g-rated family film , aimed mainly at little kids but with plenty of entertainment value to keep grown-ups from squirming in their seats . \n",
            "Label: 1\n",
            "Index: 301\n",
            "\n",
            "Sentence: everything about girls ca n't swim , even its passages of sensitive observation , feels secondhand , familiar -- and not in a good way . \n",
            "Label: 0\n",
            "Index: 302\n",
            "\n",
            "Sentence: the cast is spot on and \n",
            "Label: 1\n",
            "Index: 303\n",
            "\n",
            "Sentence: ugly digital video \n",
            "Label: 0\n",
            "Index: 304\n",
            "\n",
            "Sentence: can only love the players it brings to the fore for the gifted but no-nonsense human beings they are and for the still-inestimable contribution they have made to our shared history \n",
            "Label: 1\n",
            "Index: 305\n",
            "\n",
            "Sentence: rather choppy \n",
            "Label: 0\n",
            "Index: 306\n",
            "\n",
            "Sentence: becomes one more dumb high school comedy about sex gags and prom dates \n",
            "Label: 0\n",
            "Index: 307\n",
            "\n",
            "Sentence: demands and receives excellent performances \n",
            "Label: 1\n",
            "Index: 308\n",
            "\n",
            "Sentence: xxx is a blast of adrenalin , \n",
            "Label: 1\n",
            "Index: 309\n",
            "\n",
            "Sentence: pure escapism \n",
            "Label: 1\n",
            "Index: 310\n",
            "\n",
            "Sentence: create a film that 's not merely about kicking undead *** \n",
            "Label: 1\n",
            "Index: 311\n",
            "\n",
            "Sentence: about love and culture \n",
            "Label: 1\n",
            "Index: 312\n",
            "\n",
            "Sentence: is worse : \n",
            "Label: 0\n",
            "Index: 313\n",
            "\n",
            "Sentence: horrifying \n",
            "Label: 0\n",
            "Index: 314\n",
            "\n",
            "Sentence: mourns her tragedies in private \n",
            "Label: 0\n",
            "Index: 315\n",
            "\n",
            "Sentence: the action scenes are poorly delivered \n",
            "Label: 0\n",
            "Index: 316\n",
            "\n",
            "Sentence: it 's so bad \n",
            "Label: 0\n",
            "Index: 317\n",
            "\n",
            "Sentence: so bad \n",
            "Label: 0\n",
            "Index: 318\n",
            "\n",
            "Sentence: , 84 minutes is short \n",
            "Label: 1\n",
            "Index: 319\n",
            "\n",
            "Sentence: dabbles all around , never gaining much momentum \n",
            "Label: 0\n",
            "Index: 320\n",
            "\n",
            "Sentence: a masterpiece \n",
            "Label: 1\n",
            "Index: 321\n",
            "\n",
            "Sentence: a lot to do with the casting of juliette binoche as sand , who brings to the role her pale , dark beauty and characteristic warmth \n",
            "Label: 1\n",
            "Index: 322\n",
            "\n",
            "Sentence: does n't leave you with much . \n",
            "Label: 0\n",
            "Index: 323\n",
            "\n",
            "Sentence: good acting \n",
            "Label: 1\n",
            "Index: 324\n",
            "\n",
            "Sentence: like most of jaglom 's films , some of it is honestly affecting \n",
            "Label: 1\n",
            "Index: 325\n",
            "\n",
            "Sentence: marivaux 's rhythms , and mira sorvino 's limitations as a classical actress \n",
            "Label: 0\n",
            "Index: 326\n",
            "\n",
            "Sentence: is less successful on other levels \n",
            "Label: 0\n",
            "Index: 327\n",
            "\n",
            "Sentence: 's still quite worth seeing \n",
            "Label: 1\n",
            "Index: 328\n",
            "\n",
            "Sentence: intelligent and moving . \n",
            "Label: 1\n",
            "Index: 329\n",
            "\n",
            "Sentence: he appears miserable throughout as he swaggers through his scenes \n",
            "Label: 0\n",
            "Index: 330\n",
            "\n",
            "Sentence: men \n",
            "Label: 1\n",
            "Index: 331\n",
            "\n",
            "Sentence: accomplish what few sequels can \n",
            "Label: 1\n",
            "Index: 332\n",
            "\n",
            "Sentence: a clunky tv-movie approach to detailing a chapter in the life of the celebrated irish playwright , poet and drinker \n",
            "Label: 0\n",
            "Index: 333\n",
            "\n",
            "Sentence: i 'm not sure which half of dragonfly is worse : the part where nothing 's happening , or the part where something 's happening \n",
            "Label: 0\n",
            "Index: 334\n",
            "\n",
            "Sentence: exhilarating , funny and fun . \n",
            "Label: 1\n",
            "Index: 335\n",
            "\n",
            "Sentence: bound to appeal to women looking for a howlingly trashy time \n",
            "Label: 1\n",
            "Index: 336\n",
            "\n",
            "Sentence: , it never quite makes the grade as tawdry trash . \n",
            "Label: 0\n",
            "Index: 337\n",
            "\n",
            "Sentence: has the right stuff for silly summer entertainment and has enough laughs to sustain interest to the end . \n",
            "Label: 1\n",
            "Index: 338\n",
            "\n",
            "Sentence: endearing , caring \n",
            "Label: 1\n",
            "Index: 339\n",
            "\n",
            "Sentence: seagal , who looks more like danny aiello these days \n",
            "Label: 1\n",
            "Index: 340\n",
            "\n",
            "Sentence: enactments , however fascinating they may be as history , are too crude to serve the work especially well . \n",
            "Label: 0\n",
            "Index: 341\n",
            "\n",
            "Sentence: not everything in this ambitious comic escapade works , but coppola , along with his sister , sofia , is a real filmmaker \n",
            "Label: 1\n",
            "Index: 342\n",
            "\n",
            "Sentence: the dehumanizing and ego-destroying process \n",
            "Label: 0\n",
            "Index: 343\n",
            "\n",
            "Sentence: taboo subject matter \n",
            "Label: 0\n",
            "Index: 344\n",
            "\n",
            "Sentence: see this \n",
            "Label: 1\n",
            "Index: 345\n",
            "\n",
            "Sentence: utterly incompetent conclusion \n",
            "Label: 0\n",
            "Index: 346\n",
            "\n",
            "Sentence: has always been part of for the most part wilde 's droll whimsy helps `` being earnest '' overcome its weaknesses and parker 's creative interference ... \n",
            "Label: 1\n",
            "Index: 347\n",
            "\n",
            "Sentence: you find yourself rooting for gai 's character to avoid the fate that has befallen every other carmen before her \n",
            "Label: 1\n",
            "Index: 348\n",
            "\n",
            "Sentence: run for cover \n",
            "Label: 0\n",
            "Index: 349\n",
            "\n",
            "Sentence: low budget \n",
            "Label: 0\n",
            "Index: 350\n",
            "\n",
            "Sentence: a deceptively casual ode \n",
            "Label: 1\n",
            "Index: 351\n",
            "\n",
            "Sentence: walked out muttering words like `` horrible '' and `` terrible , '' \n",
            "Label: 0\n",
            "Index: 352\n",
            "\n",
            "Sentence: help chicago make the transition from stage to screen with considerable appeal intact \n",
            "Label: 1\n",
            "Index: 353\n",
            "\n",
            "Sentence: you have ellen pompeo sitting next to you for the ride \n",
            "Label: 1\n",
            "Index: 354\n",
            "\n",
            "Sentence: a giant step backward \n",
            "Label: 0\n",
            "Index: 355\n",
            "\n",
            "Sentence: true fans \n",
            "Label: 1\n",
            "Index: 356\n",
            "\n",
            "Sentence: just copies \n",
            "Label: 0\n",
            "Index: 357\n",
            "\n",
            "Sentence: quite rich and exciting \n",
            "Label: 1\n",
            "Index: 358\n",
            "\n",
            "Sentence: luminous interviews and amazingly evocative film from three decades ago \n",
            "Label: 1\n",
            "Index: 359\n",
            "\n",
            "Sentence: from lynch , jeunet , and von trier while failing to find a spark of its own \n",
            "Label: 0\n",
            "Index: 360\n",
            "\n",
            "Sentence: , you ca n't help but get caught up in the thrill of the company 's astonishing growth . \n",
            "Label: 1\n",
            "Index: 361\n",
            "\n",
            "Sentence: this frozen tundra soap opera \n",
            "Label: 0\n",
            "Index: 362\n",
            "\n",
            "Sentence: a showdown \n",
            "Label: 1\n",
            "Index: 363\n",
            "\n",
            "Sentence: is simply too overdone \n",
            "Label: 0\n",
            "Index: 364\n",
            "\n",
            "Sentence: greatly \n",
            "Label: 1\n",
            "Index: 365\n",
            "\n",
            "Sentence: free \n",
            "Label: 1\n",
            "Index: 366\n",
            "\n",
            "Sentence: intriguing species \n",
            "Label: 1\n",
            "Index: 367\n",
            "\n",
            "Sentence: try and evade \n",
            "Label: 0\n",
            "Index: 368\n",
            "\n",
            "Sentence: scherfig , who has had a successful career in tv \n",
            "Label: 1\n",
            "Index: 369\n",
            "\n",
            "Sentence: watching it leaves you giddy \n",
            "Label: 1\n",
            "Index: 370\n",
            "\n",
            "Sentence: beautifully acted and directed , it 's clear that washington most certainly has a new career ahead of him if he so chooses . \n",
            "Label: 1\n",
            "Index: 371\n",
            "\n",
            "Sentence: far tamer \n",
            "Label: 0\n",
            "Index: 372\n",
            "\n",
            "Sentence: outrageously creative action \n",
            "Label: 1\n",
            "Index: 373\n",
            "\n",
            "Sentence: the most purely enjoyable and satisfying evenings \n",
            "Label: 1\n",
            "Index: 374\n",
            "\n",
            "Sentence: is never any question of how things will turn out \n",
            "Label: 0\n",
            "Index: 375\n",
            "\n",
            "Sentence: only open new wounds \n",
            "Label: 0\n",
            "Index: 376\n",
            "\n",
            "Sentence: despite suffering a sense-of-humour failure \n",
            "Label: 0\n",
            "Index: 377\n",
            "\n",
            "Sentence: for a story \n",
            "Label: 1\n",
            "Index: 378\n",
            "\n",
            "Sentence: in addition to hoffman 's powerful acting clinic \n",
            "Label: 1\n",
            "Index: 379\n",
            "\n",
            "Sentence: right stuff \n",
            "Label: 1\n",
            "Index: 380\n",
            "\n",
            "Sentence: the wonderful cinematography and naturalistic acting \n",
            "Label: 1\n",
            "Index: 381\n",
            "\n",
            "Sentence: high-concept films \n",
            "Label: 1\n",
            "Index: 382\n",
            "\n",
            "Sentence: sleepwalk through vulgarities in a sequel you can refuse \n",
            "Label: 0\n",
            "Index: 383\n",
            "\n",
            "Sentence: with no reason for being \n",
            "Label: 0\n",
            "Index: 384\n",
            "\n",
            "Sentence: just about all of the film is confusing on one level or another , making ararat far more demanding than it needs to be . \n",
            "Label: 0\n",
            "Index: 385\n",
            "\n",
            "Sentence: invigorating , surreal , and resonant \n",
            "Label: 1\n",
            "Index: 386\n",
            "\n",
            "Sentence: the chateau , a sense of light-heartedness , that makes it attractive throughout \n",
            "Label: 1\n",
            "Index: 387\n",
            "\n",
            "Sentence: have a passion for the material \n",
            "Label: 1\n",
            "Index: 388\n",
            "\n",
            "Sentence: maybe it is formula filmmaking , but there 's nothing wrong with that if the film is well-crafted and this one is . \n",
            "Label: 1\n",
            "Index: 389\n",
            "\n",
            "Sentence: a movie that ca n't get sufficient distance from leroy 's \n",
            "Label: 0\n",
            "Index: 390\n",
            "\n",
            "Sentence: romanticized rendering \n",
            "Label: 1\n",
            "Index: 391\n",
            "\n",
            "Sentence: is terrific as rachel \n",
            "Label: 1\n",
            "Index: 392\n",
            "\n",
            "Sentence: of special effects that run the gamut from cheesy to cheesier to cheesiest \n",
            "Label: 0\n",
            "Index: 393\n",
            "\n",
            "Sentence: the worst film a man has made about women since valley of the dolls \n",
            "Label: 0\n",
            "Index: 394\n",
            "\n",
            "Sentence: come , already having been recycled more times than i 'd care to count \n",
            "Label: 0\n",
            "Index: 395\n",
            "\n",
            "Sentence: with awe \n",
            "Label: 1\n",
            "Index: 396\n",
            "\n",
            "Sentence: joyous romp of a film . \n",
            "Label: 1\n",
            "Index: 397\n",
            "\n",
            "Sentence: a nonstop hoot \n",
            "Label: 1\n",
            "Index: 398\n",
            "\n",
            "Sentence: , partisans and sabotage \n",
            "Label: 0\n",
            "Index: 399\n",
            "\n",
            "Sentence: gory as the scenes of torture and self-mutilation \n",
            "Label: 0\n",
            "Index: 400\n",
            "\n",
            "Sentence: just as the recent argentine film son of the bride reminded us that a feel-good movie can still show real heart \n",
            "Label: 1\n",
            "Index: 401\n",
            "\n",
            "Sentence: ub equally spoofs and celebrates the more outre aspects of ` black culture ' and the dorkier aspects of ` white culture , ' even as it points out how inseparable the two are . \n",
            "Label: 1\n",
            "Index: 402\n",
            "\n",
            "Sentence: the package in which this fascinating -- and timely -- content comes wrapped is disappointingly generic . \n",
            "Label: 0\n",
            "Index: 403\n",
            "\n",
            "Sentence: this obscenely bad dark comedy , so crass \n",
            "Label: 0\n",
            "Index: 404\n",
            "\n",
            "Sentence: naomi watts is terrific as rachel ; her petite frame and vulnerable persona emphasising her plight and isolation \n",
            "Label: 1\n",
            "Index: 405\n",
            "\n",
            "Sentence: exciting and \n",
            "Label: 1\n",
            "Index: 406\n",
            "\n",
            "Sentence: schticky \n",
            "Label: 0\n",
            "Index: 407\n",
            "\n",
            "Sentence: and in the best way \n",
            "Label: 1\n",
            "Index: 408\n",
            "\n",
            "Sentence: of our most flamboyant female comics \n",
            "Label: 1\n",
            "Index: 409\n",
            "\n",
            "Sentence: squareness that would make it the darling of many a kids-and-family-oriented cable channel \n",
            "Label: 1\n",
            "Index: 410\n",
            "\n",
            "Sentence: ( less a movie than ) an appalling , odoriferous thing ... so \n",
            "Label: 0\n",
            "Index: 411\n",
            "\n",
            "Sentence: this film special \n",
            "Label: 1\n",
            "Index: 412\n",
            "\n",
            "Sentence: of the amazing spider-man \n",
            "Label: 1\n",
            "Index: 413\n",
            "\n",
            "Sentence: the stomach-turning violence \n",
            "Label: 0\n",
            "Index: 414\n",
            "\n",
            "Sentence: could use a little more humanity \n",
            "Label: 0\n",
            "Index: 415\n",
            "\n",
            "Sentence: not everything \n",
            "Label: 0\n",
            "Index: 416\n",
            "\n",
            "Sentence: acquires an undeniable entertainment value as the slight , pale mr. broomfield continues to force himself on people and into situations that would make lesser men run for cover . \n",
            "Label: 1\n",
            "Index: 417\n",
            "\n",
            "Sentence: a slow-moving police-procedural thriller \n",
            "Label: 0\n",
            "Index: 418\n",
            "\n",
            "Sentence: a bad idea from frame one \n",
            "Label: 0\n",
            "Index: 419\n",
            "\n",
            "Sentence: terrific , sweaty-palmed fun \n",
            "Label: 1\n",
            "Index: 420\n",
            "\n",
            "Sentence: very funny joke \n",
            "Label: 1\n",
            "Index: 421\n",
            "\n",
            "Sentence: volletta wallace 's maternal fury \n",
            "Label: 0\n",
            "Index: 422\n",
            "\n",
            "Sentence: complex story \n",
            "Label: 1\n",
            "Index: 423\n",
            "\n",
            "Sentence: atop wooden dialogue \n",
            "Label: 0\n",
            "Index: 424\n",
            "\n",
            "Sentence: that it progresses in such a low-key manner that it risks monotony \n",
            "Label: 0\n",
            "Index: 425\n",
            "\n",
            "Sentence: be burns 's strongest film since the brothers mcmullen \n",
            "Label: 1\n",
            "Index: 426\n",
            "\n",
            "Sentence: ca n't miss it \n",
            "Label: 1\n",
            "Index: 427\n",
            "\n",
            "Sentence: dover kosashvili 's outstanding feature debut so potent \n",
            "Label: 1\n",
            "Index: 428\n",
            "\n",
            "Sentence: of the best short story writing \n",
            "Label: 1\n",
            "Index: 429\n",
            "\n",
            "Sentence: it seeks excitement in manufactured high drama \n",
            "Label: 0\n",
            "Index: 430\n",
            "\n",
            "Sentence: feeble comedy . \n",
            "Label: 0\n",
            "Index: 431\n",
            "\n",
            "Sentence: an insult to every family \n",
            "Label: 0\n",
            "Index: 432\n",
            "\n",
            "Sentence: it is essentially empty \n",
            "Label: 0\n",
            "Index: 433\n",
            "\n",
            "Sentence: of the film 's problems \n",
            "Label: 0\n",
            "Index: 434\n",
            "\n",
            "Sentence: makes my big fat greek wedding look like an apartheid drama \n",
            "Label: 0\n",
            "Index: 435\n",
            "\n",
            "Sentence: is not even half the interest . \n",
            "Label: 0\n",
            "Index: 436\n",
            "\n",
            "Sentence: never achieve the popularity of my big fat greek wedding \n",
            "Label: 0\n",
            "Index: 437\n",
            "\n",
            "Sentence: `` auto focus '' works as an unusual biopic and document of male swingers in the playboy era \n",
            "Label: 1\n",
            "Index: 438\n",
            "\n",
            "Sentence: right now , they 're merely signposts marking the slow , lingering death of imagination . \n",
            "Label: 0\n",
            "Index: 439\n",
            "\n",
            "Sentence: appealing character quirks to forgive that still serious problem \n",
            "Label: 1\n",
            "Index: 440\n",
            "\n",
            "Sentence: often lingers just as long on the irrelevant as on the engaging , which gradually turns what time is it there ? \n",
            "Label: 0\n",
            "Index: 441\n",
            "\n",
            "Sentence: the energy it takes to describe how bad it is \n",
            "Label: 0\n",
            "Index: 442\n",
            "\n",
            "Sentence: wait to see it then . \n",
            "Label: 0\n",
            "Index: 443\n",
            "\n",
            "Sentence: could easily be called the best korean film of 2002 \n",
            "Label: 1\n",
            "Index: 444\n",
            "\n",
            "Sentence: largest-ever historical canvas \n",
            "Label: 1\n",
            "Index: 445\n",
            "\n",
            "Sentence: a solid cast , assured direction and complete lack of modern day irony . \n",
            "Label: 1\n",
            "Index: 446\n",
            "\n",
            "Sentence: comatose ballerinas \n",
            "Label: 0\n",
            "Index: 447\n",
            "\n",
            "Sentence: oh-so-important \n",
            "Label: 1\n",
            "Index: 448\n",
            "\n",
            "Sentence: of the road , where the thematic ironies are too obvious and the sexual politics too smug \n",
            "Label: 0\n",
            "Index: 449\n",
            "\n",
            "Sentence: formulaic equations \n",
            "Label: 0\n",
            "Index: 450\n",
            "\n",
            "Sentence: 's a work that , with humor , warmth , and intelligence , captures a life interestingly lived \n",
            "Label: 1\n",
            "Index: 451\n",
            "\n",
            "Sentence: deserve a passing grade \n",
            "Label: 1\n",
            "Index: 452\n",
            "\n",
            "Sentence: you 're gon na like this movie . \n",
            "Label: 1\n",
            "Index: 453\n",
            "\n",
            "Sentence: simply stupid , irrelevant \n",
            "Label: 0\n",
            "Index: 454\n",
            "\n",
            "Sentence: weaves both the elements of the plot and a powerfully evocative mood combining heated sexuality with a haunting sense of malaise . \n",
            "Label: 1\n",
            "Index: 455\n",
            "\n",
            "Sentence: a heavy-handed indictment of parental failings and \n",
            "Label: 0\n",
            "Index: 456\n",
            "\n",
            "Sentence: felt performances across the board . \n",
            "Label: 1\n",
            "Index: 457\n",
            "\n",
            "Sentence: seem weird and distanced \n",
            "Label: 0\n",
            "Index: 458\n",
            "\n",
            "Sentence: has finally made a movie that is n't just offensive \n",
            "Label: 1\n",
            "Index: 459\n",
            "\n",
            "Sentence: casual and fun \n",
            "Label: 1\n",
            "Index: 460\n",
            "\n",
            "Sentence: plodding mess \n",
            "Label: 0\n",
            "Index: 461\n",
            "\n",
            "Sentence: the weird thing about the santa clause 2 , purportedly a children 's movie , is that there is nothing in it to engage children emotionally . \n",
            "Label: 0\n",
            "Index: 462\n",
            "\n",
            "Sentence: the film 's intimate camera work \n",
            "Label: 1\n",
            "Index: 463\n",
            "\n",
            "Sentence: you 'll find yourself wishing that you and they were in another movie . \n",
            "Label: 0\n",
            "Index: 464\n",
            "\n",
            "Sentence: of dishonesty \n",
            "Label: 0\n",
            "Index: 465\n",
            "\n",
            "Sentence: as bestial \n",
            "Label: 0\n",
            "Index: 466\n",
            "\n",
            "Sentence: as it is a loose collection of not-so-funny gags , scattered moments of lazy humor \n",
            "Label: 0\n",
            "Index: 467\n",
            "\n",
            "Sentence: , they prove more distressing than suspenseful . \n",
            "Label: 0\n",
            "Index: 468\n",
            "\n",
            "Sentence: crackles \n",
            "Label: 1\n",
            "Index: 469\n",
            "\n",
            "Sentence: a fairly revealing study of its two main characters \n",
            "Label: 1\n",
            "Index: 470\n",
            "\n",
            "Sentence: high drama , disney-style \n",
            "Label: 1\n",
            "Index: 471\n",
            "\n",
            "Sentence: may be more genial than ingenious , but it gets the job done . \n",
            "Label: 1\n",
            "Index: 472\n",
            "\n",
            "Sentence: , good action , good acting , good dialogue , good pace , good cinematography . \n",
            "Label: 1\n",
            "Index: 473\n",
            "\n",
            "Sentence: her bully of a husband \n",
            "Label: 0\n",
            "Index: 474\n",
            "\n",
            "Sentence: gaghan ... has thrown every suspenseful cliché in the book at this nonsensical story . \n",
            "Label: 0\n",
            "Index: 475\n",
            "\n",
            "Sentence: the darker elements of misogyny and unprovoked violence suffocate the illumination created by the two daughters \n",
            "Label: 0\n",
            "Index: 476\n",
            "\n",
            "Sentence: oozing , chilling and heart-warming \n",
            "Label: 1\n",
            "Index: 477\n",
            "\n",
            "Sentence: stale retread \n",
            "Label: 0\n",
            "Index: 478\n",
            "\n",
            "Sentence: filming the teeming life on the reefs \n",
            "Label: 1\n",
            "Index: 479\n",
            "\n",
            "Sentence: an already thin story boils down to surviving invaders seeking an existent anti-virus . \n",
            "Label: 0\n",
            "Index: 480\n",
            "\n",
            "Sentence: quite endearing . \n",
            "Label: 1\n",
            "Index: 481\n",
            "\n",
            "Sentence: with fewer gags to break the tedium \n",
            "Label: 0\n",
            "Index: 482\n",
            "\n",
            "Sentence: overbearing and \n",
            "Label: 0\n",
            "Index: 483\n",
            "\n",
            "Sentence: deep deceptions \n",
            "Label: 0\n",
            "Index: 484\n",
            "\n",
            "Sentence: things will turn out okay \n",
            "Label: 1\n",
            "Index: 485\n",
            "\n",
            "Sentence: the paranoid claustrophobia of a submarine movie with the unsettling spookiness of the supernatural \n",
            "Label: 1\n",
            "Index: 486\n",
            "\n",
            "Sentence: grand \n",
            "Label: 1\n",
            "Index: 487\n",
            "\n",
            "Sentence: good-natured fun found in films like tremors \n",
            "Label: 1\n",
            "Index: 488\n",
            "\n",
            "Sentence: betters it \n",
            "Label: 1\n",
            "Index: 489\n",
            "\n",
            "Sentence: transfixes the audience \n",
            "Label: 1\n",
            "Index: 490\n",
            "\n",
            "Sentence: moving and important \n",
            "Label: 1\n",
            "Index: 491\n",
            "\n",
            "Sentence: dope \n",
            "Label: 1\n",
            "Index: 492\n",
            "\n",
            "Sentence: an avid interest \n",
            "Label: 1\n",
            "Index: 493\n",
            "\n",
            "Sentence: blessed with two fine , nuanced lead performances \n",
            "Label: 1\n",
            "Index: 494\n",
            "\n",
            "Sentence: true star \n",
            "Label: 1\n",
            "Index: 495\n",
            "\n",
            "Sentence: hampered -- no , paralyzed -- by a self-indulgent script ... \n",
            "Label: 0\n",
            "Index: 496\n",
            "\n",
            "Sentence: is expressly for idiots who do n't care what kind of sewage they shovel into their mental gullets to simulate sustenance . \n",
            "Label: 0\n",
            "Index: 497\n",
            "\n",
            "Sentence: is haunting ... ( it 's ) what punk rock music used to be , and what the video medium could use more of : spirit , perception , conviction \n",
            "Label: 1\n",
            "Index: 498\n",
            "\n",
            "Sentence: which nurses plot holes gaping enough to pilot an entire olympic swim team through \n",
            "Label: 0\n",
            "Index: 499\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "\n",
        "# Tokenize input texts\n",
        "def tokenize(batch):\n",
        "    return tokenizer(batch[\"sentence\"], padding=True, truncation=True)\n",
        "\n",
        "dataset = dataset.map(tokenize, batched=True)\n",
        "\n",
        "\n",
        "# Convert the dataset to PyTorch tensors\n",
        "dataset.set_format(type='torch', columns=['input_ids', 'attention_mask', 'label'])\n",
        "\n",
        "# Create DataLoader for training\n",
        "data_collator = DataCollatorWithPadding(tokenizer)\n",
        "train_dataloader = DataLoader(dataset['train'], batch_size=8, shuffle=True, collate_fn=data_collator)\n",
        "\n",
        "# Define optimizer and loss function\n",
        "optimizer = AdamW(model.parameters(), lr=5e-5)  # Using AdamW optimizer\n",
        "criterion = nn.CrossEntropyLoss()  # Assuming cross-entropy loss for classification\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 104,
          "referenced_widgets": [
            "75898d49e2e346738f69837a76921e76",
            "59951ec6ecab462d8c56001cdac8ee44",
            "28ca5dac250044aba209aeae79f271dc",
            "41fa381cc96a43ddae55bff45e2cae55",
            "b482c21d62424d95a077d8b865fba465",
            "e2923435430f450e99370c2db0ad0c9e",
            "e83b37a653de4adbb41d8747b5274602",
            "dadc7a9524634e63a5b6c11046a83d10",
            "dccbc911795e48fe804db4b107fd243d",
            "866a77043a0545168a4b5f8e5911d1b5",
            "b765054efc0d496b81ff4e7fa7987a94"
          ]
        },
        "id": "4Hdnb8tbkSKN",
        "outputId": "f6a3dfc0-170e-45e0-8307-f0c6f354c4f8"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Map:   0%|          | 0/500 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "75898d49e2e346738f69837a76921e76"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/transformers/optimization.py:429: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n",
            "  warnings.warn(\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Fine-tune BERT\n",
        "model.train()\n",
        "epochs = 3  # Adjust as needed\n",
        "for epoch in range(epochs):\n",
        "    total_loss = 0\n",
        "    for batch in train_dataloader:\n",
        "        optimizer.zero_grad()\n",
        "        input_ids, attention_mask, labels = batch['input_ids'], batch['attention_mask'], batch['labels']\n",
        "\n",
        "        # Forward pass\n",
        "        outputs = model(input_ids, attention_mask=attention_mask, labels=labels)\n",
        "        loss = outputs.loss\n",
        "\n",
        "        # Backward pass and optimization\n",
        "        loss.backward()\n",
        "        optimizer.step()\n",
        "\n",
        "        total_loss += loss.item()\n",
        "\n",
        "    avg_loss = total_loss / len(train_dataloader)\n",
        "    print(f\"Epoch {epoch+1}/{epochs}, Average Loss: {avg_loss:.4f}\")\n",
        "\n",
        "# Save the fine-tuned model\n",
        "torch.save(model.state_dict(), 'bert_classification_model.pth')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "H5gwrA53pmvO",
        "outputId": "ec22c9f2-6fc2-403b-a4f6-46133aa6fc06"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/3, Average Loss: 0.5392\n",
            "Epoch 2/3, Average Loss: 0.3380\n",
            "Epoch 3/3, Average Loss: 0.1705\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Example new input texts\n",
        "new_texts = [\n",
        "    \"This movie is fantastic!\",\n",
        "    \"I didn't like this film at all.\",\n",
        "    \"This is a great movie!\",\n",
        "    \"I couldn't stop laughing during this film.\",\n",
        "    \"I found the movie to be disappointing.\",\n",
        "    \"The acting was superb!\",\n",
        "    \"The plot was predictable.\",\n",
        "    \"I highly recommend this movie to everyone.\",\n",
        "    \"I regret watching this film.\",\n",
        "    \"The cinematography was breathtaking.\"\n",
        "]\n",
        "\n",
        "# Tokenize new input texts\n",
        "tokenized_inputs = tokenizer(new_texts, padding=True, truncation=True, return_tensors=\"pt\")\n",
        "\n",
        "# Prepare input tensors\n",
        "input_ids = tokenized_inputs[\"input_ids\"]\n",
        "attention_mask = tokenized_inputs[\"attention_mask\"]\n",
        "\n",
        "# Perform inference\n",
        "with torch.no_grad():\n",
        "    outputs = model(input_ids, attention_mask=attention_mask)\n",
        "\n",
        "# Interpret model outputs\n",
        "logits = outputs.logits\n",
        "predicted_labels = torch.argmax(logits, dim=1)\n",
        "\n",
        "# Display predictions with human-readable labels\n",
        "for text, label in zip(new_texts, predicted_labels):\n",
        "    print(f\"Text: {text}\")\n",
        "    print(f\"Predicted Label: {label_map[label.item()]}\")\n",
        "    print()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "X_GlBfY2nXUN",
        "outputId": "79aa956b-0f43-499b-b578-25d01816edb9"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Text: This movie is fantastic!\n",
            "Predicted Label: Positive\n",
            "\n",
            "Text: I didn't like this film at all.\n",
            "Predicted Label: Negative\n",
            "\n",
            "Text: This is a great movie!\n",
            "Predicted Label: Positive\n",
            "\n",
            "Text: I couldn't stop laughing during this film.\n",
            "Predicted Label: Negative\n",
            "\n",
            "Text: I found the movie to be disappointing.\n",
            "Predicted Label: Negative\n",
            "\n",
            "Text: The acting was superb!\n",
            "Predicted Label: Positive\n",
            "\n",
            "Text: The plot was predictable.\n",
            "Predicted Label: Negative\n",
            "\n",
            "Text: I highly recommend this movie to everyone.\n",
            "Predicted Label: Positive\n",
            "\n",
            "Text: I regret watching this film.\n",
            "Predicted Label: Negative\n",
            "\n",
            "Text: The cinematography was breathtaking.\n",
            "Predicted Label: Positive\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model = BertForSequenceClassification.from_pretrained('bert-base-uncased', num_labels=2)  # Binary classification\n",
        "\n",
        "# Load the saved state dictionary into the model\n",
        "model.load_state_dict(torch.load('bert_classification_model.pth'))\n",
        "\n",
        "# Now the 'model' object contains the loaded weights"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xB68o8jju-cR",
        "outputId": "2d455893-0650-4896-cb17-6492e902c5a9"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight']\n",
            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<All keys matched successfully>"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "from transformers import BertForSequenceClassification, BertTokenizer\n",
        "\n",
        "# Load the saved state dictionary into the model\n",
        "model = BertForSequenceClassification.from_pretrained('bert-base-uncased', num_labels=2)\n",
        "model.load_state_dict(torch.load('bert_classification_model.pth'))\n",
        "\n",
        "# Initialize the tokenizer\n",
        "tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')\n",
        "\n",
        "# Example new input texts\n",
        "new_texts = [\n",
        "    \"This movie is fantastic!\",\n",
        "    \"I didn't like this film at all.\",\n",
        "    \"This is a great movie!\",\n",
        "    \"I couldn't stop laughing during this film.\",\n",
        "    \"I found the movie to be disappointing.\",\n",
        "    \"The acting was superb!\",\n",
        "    \"The plot was predictable.\",\n",
        "    \"I highly recommend this movie to everyone.\",\n",
        "    \"I regret watching this film.\",\n",
        "    \"The cinematography was breathtaking.\"\n",
        "]\n",
        "\n",
        "# Tokenize new input texts\n",
        "tokenized_inputs = tokenizer(new_texts, padding=True, truncation=True, return_tensors=\"pt\")\n",
        "\n",
        "# Prepare input tensors\n",
        "input_ids = tokenized_inputs[\"input_ids\"]\n",
        "attention_mask = tokenized_inputs[\"attention_mask\"]\n",
        "\n",
        "# Perform inference\n",
        "with torch.no_grad():\n",
        "    outputs = model(input_ids, attention_mask=attention_mask)\n",
        "\n",
        "# Interpret model outputs\n",
        "logits = outputs.logits\n",
        "predicted_labels = torch.argmax(logits, dim=1)\n",
        "\n",
        "# Display predictions with human-readable labels\n",
        "label_map = {0: \"Negative\", 1: \"Positive\"}\n",
        "for text, label in zip(new_texts, predicted_labels):\n",
        "    print(f\"Text: {text}\")\n",
        "    print(f\"Predicted Label: {label_map[label.item()]}\")\n",
        "    print()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AW_mHHdxwAZF",
        "outputId": "2a1014b3-30b6-4f25-b011-d59592d4e5ee"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight']\n",
            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Text: This movie is fantastic!\n",
            "Predicted Label: Positive\n",
            "\n",
            "Text: I didn't like this film at all.\n",
            "Predicted Label: Negative\n",
            "\n",
            "Text: This is a great movie!\n",
            "Predicted Label: Positive\n",
            "\n",
            "Text: I couldn't stop laughing during this film.\n",
            "Predicted Label: Positive\n",
            "\n",
            "Text: I found the movie to be disappointing.\n",
            "Predicted Label: Negative\n",
            "\n",
            "Text: The acting was superb!\n",
            "Predicted Label: Positive\n",
            "\n",
            "Text: The plot was predictable.\n",
            "Predicted Label: Negative\n",
            "\n",
            "Text: I highly recommend this movie to everyone.\n",
            "Predicted Label: Positive\n",
            "\n",
            "Text: I regret watching this film.\n",
            "Predicted Label: Negative\n",
            "\n",
            "Text: The cinematography was breathtaking.\n",
            "Predicted Label: Positive\n",
            "\n"
          ]
        }
      ]
    }
  ]
}