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executed in the\n", " current browser session. Please rerun this cell to enable.\n", " \n", " " ] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "Saving netflix_titles.csv to netflix_titles.csv\n" ] } ] }, { "cell_type": "code", "source": [ "import pandas as pd\n", "import numpy as np\n", "import torch\n", "\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.metrics import accuracy_score, classification_report\n", "\n", "from transformers import (\n", " AutoTokenizer,\n", " AutoModelForSequenceClassification,\n", " TrainingArguments,\n", " Trainer\n", ")\n", "\n", "from datasets import Dataset" ], "metadata": { "id": "kVSv-4QIjPc7" }, "execution_count": 3, "outputs": [] }, { "cell_type": "code", "source": [ "df = pd.read_csv(\n", " \"netflix_titles.csv\",\n", " encoding=\"latin1\"\n", ")\n", "\n", "print(df.shape)\n", "print(df.columns)\n", "df.head()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 793 }, "id": "YQWeOOeejPgb", "outputId": "2c8633bc-7e26-48ca-9071-7edaa48611d1" }, "execution_count": 4, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "(8809, 26)\n", "Index(['show_id', 'type', 'title', 'director', 'cast', 'country', 'date_added',\n", " 'release_year', 'rating', 'duration', 'listed_in', 'description',\n", " 'Unnamed: 12', 'Unnamed: 13', 'Unnamed: 14', 'Unnamed: 15',\n", " 'Unnamed: 16', 'Unnamed: 17', 'Unnamed: 18', 'Unnamed: 19',\n", " 'Unnamed: 20', 'Unnamed: 21', 'Unnamed: 22', 'Unnamed: 23',\n", " 'Unnamed: 24', 'Unnamed: 25'],\n", " dtype='object')\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ " show_id type title director \\\n", "0 s1 Movie Dick Johnson Is Dead Kirsten Johnson \n", "1 s2 TV Show Blood & Water NaN \n", "2 s3 TV Show Ganglands Julien Leclercq \n", "3 s4 TV Show Jailbirds New Orleans NaN \n", "4 s5 TV Show Kota Factory NaN \n", "\n", " cast country \\\n", "0 NaN United States \n", "1 Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban... 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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "df", "summary": "{\n \"name\": \"df\",\n \"rows\": 8809,\n \"fields\": [\n {\n \"column\": \"title\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 8806,\n \"samples\": [\n \"BoJack Horseman Christmas Special: Sabrina's Christmas Wish\",\n \"Black Mirror: Bandersnatch\",\n \"Rocky Handsome\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"description\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 8777,\n \"samples\": [\n \"When an aspiring actress hits it big thanks to a candid Instagram post, the lives of several Tokyo women cross as they struggle to define happiness IRL.\",\n \"When a local musician and his band are forced to perform in honor of a right-wing coup, his daughter schemes to make their music subversive instead.\",\n \"Using breakthroughs in technology and neuroscience, this series examines how environment affects infants \\u00e2\\u0080\\u0093 and how infants can affect our future.\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"listed_in\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 516,\n \"samples\": [\n \"Crime TV Shows, International TV Shows, TV Mysteries\",\n \"Dramas, Horror Movies, Music & Musicals\",\n \"Action & Adventure, Children & Family Movies, Independent Movies\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"type\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"TV Show\",\n \"Movie\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 5 } ] }, { "cell_type": "code", "source": [ "df = df.dropna(\n", " subset=[\"title\", \"description\", \"type\"]\n", ")\n", "\n", "print(df.isnull().sum())\n", "print(\"\\nDataset size:\", len(df))" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "e07HDlrajt4M", "outputId": "5a67f747-56f4-4bae-f12e-bb0ea1eb04be" }, "execution_count": 6, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "title 0\n", "description 0\n", "listed_in 0\n", "type 0\n", "dtype: int64\n", "\n", "Dataset size: 8809\n" ] } ] }, { "cell_type": "code", "source": [ "df[\"listed_in\"] = df[\"listed_in\"].fillna(\"\")\n", "\n", "df[\"text\"] = (\n", " df[\"title\"].astype(str)\n", " + \" \"\n", " + df[\"description\"].astype(str)\n", " + \" \"\n", " + df[\"listed_in\"].astype(str)\n", ")\n", "\n", "df[[\"text\", \"type\"]].head()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "id": "fzkV6LBGjt79", "outputId": "a12aed48-e27a-4268-8154-1b291bfe5574" }, "execution_count": 7, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " text type\n", "0 Dick Johnson Is Dead As her father nears the e... Movie\n", "1 Blood & Water After crossing paths at a party,... TV Show\n", "2 Ganglands To protect his family from a powerfu... TV Show\n", "3 Jailbirds New Orleans Feuds, flirtations and t... TV Show\n", "4 Kota Factory In a city of coaching centers kno... TV Show" ], "text/html": [ "\n", "
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0Dick Johnson Is Dead As her father nears the e...Movie
1Blood & Water After crossing paths at a party,...TV Show
2Ganglands To protect his family from a powerfu...TV Show
3Jailbirds New Orleans Feuds, flirtations and t...TV Show
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"df[[\\\"text\\\", \\\"type\\\"]]\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"text\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"Blood & Water After crossing paths at a party, a Cape Town teen sets out to prove whether a private-school swimming star is her sister who was abducted at birth. International TV Shows, TV Dramas, TV Mysteries\",\n \"Kota Factory In a city of coaching centers known to train India\\u00e2\\u0080\\u0099s finest collegiate minds, an earnest but unexceptional student and his friends navigate campus life. International TV Shows, Romantic TV Shows, TV Comedies\",\n \"Ganglands To protect his family from a powerful drug lord, skilled thief Mehdi and his expert team of robbers are pulled into a violent and deadly turf war. Crime TV Shows, International TV Shows, TV Action & Adventure\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"type\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"TV Show\",\n \"Movie\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 7 } ] }, { "cell_type": "code", "source": [ "label_map = {\n", " \"Movie\": 0,\n", " \"TV Show\": 1\n", "}\n", "\n", "df[\"label\"] = df[\"type\"].map(label_map)\n", "\n", "print(df[\"type\"].value_counts())\n", "print(df[\"label\"].value_counts())" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "fJ1HqRBCjt_i", "outputId": "77a5d88c-318f-4b30-ee92-0138b2ae0da0" }, "execution_count": 8, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "type\n", "Movie 6132\n", "TV Show 2677\n", "Name: count, dtype: int64\n", "label\n", "0 6132\n", "1 2677\n", "Name: count, dtype: int64\n" ] } ] }, { "cell_type": "code", "source": [ "train_df, test_df = train_test_split(\n", " df[[\"text\", \"label\"]],\n", " test_size=0.20,\n", " random_state=42,\n", " stratify=df[\"label\"]\n", ")\n", "\n", "print(\"Training:\", len(train_df))\n", "print(\"Testing :\", len(test_df))" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "1enYAu-fj4HC", "outputId": "1e7a46b1-9696-4911-e6b4-67e40925298d" }, "execution_count": 9, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Training: 7047\n", "Testing : 1762\n" ] } ] }, { "cell_type": "code", "source": [ "train_dataset = Dataset.from_pandas(\n", " train_df.reset_index(drop=True)\n", ")\n", "\n", "test_dataset = Dataset.from_pandas(\n", " test_df.reset_index(drop=True)\n", ")" ], "metadata": { "id": "iJI6ylBCj4J-" }, "execution_count": 10, "outputs": [] }, { "cell_type": "code", "source": [ "MODEL_NAME = \"distilbert-base-uncased\"\n", "\n", "tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 200, "referenced_widgets": [ "a756b65bdf7a44539c08cbdc91f470a3", "726f24d6bf57486ca5ea0058fbdae425", "1e880ce726634ef89e6f34262dae1c0e", "8a34e78b978b475c93328289401d0f43", "b5710fedfa6544dfb03c92f244defe61", "550814fa0a2c45748ecb8e8e34bc3e84", "380416b48d7e40d8ad743459723bfd3f", "2a0bd0639f8544b0a16a7cb1c8b4f99d", "8f0be659d5b3401ab136a52d37bfcfce", "e2f34af71b374968a2831c761b2b1ad6", "07648bb81c30445db5d5fc1ddb35377a", "285e2d0f2ec7435e8e6c9054e5dacf3d", "323ddd2ffa0048a4903dbde8e5d9f0e9", "a7a7948ab4cc42c7abfebc251607ab31", "94ab2f25d5104adf83b823b4987dec84", "accce9d0939240cfa742d7b88218e2b6", "99d793de9fc8465a8a4a5f2cc59e6371", "1724bc1a44eb42e98cca2eb11e583f83", "27b5ca8d6739402ea235d37bccdbf842", "cb23aa8b7ad941caafbc1fd1872e9e35", "c16128589c1547aeb928af5e153ac73d", "929cdb7044f24e63a849133bfd0f9d44", "e784c194f7d542078123ccc513996494", "38156259535e447992930389e678178e", "3ce99fcf2106454eb6f5fbdf27a6551e", "f4b75fbc178c453bbf0eead7855ec7e1", "c9197edae9fd489aaf7babe27971a6a8", "d97cddf41f034a818b325252fa8ee6de", "06702be237324e9e809c6a4875806b58", "5f536f9b24444ca78b94d98671049dc9", "3382308ac82147d5b4289d3e1357c5c2", "0f619848b18c408d82ff721f3b4e7dd7", "30634152bcb444b58a501f2902d5a0a7", "921fb115befc4357ab509039378ad4b7", "7f0d6a5e695a42b3a69e866fc1daecad", "8003a0aeb931475daf39e7506c47062d", "f370ed60d340456d82c1d952eb3e7061", "5e04111e7d6d480ca5377516b1d3a3dc", "9ddb85c8ea2a4adea8411cf48211f5b9", "486b3d7da8114d82b917798e362ef645", "cb25431fb0f94d1d8c90dc9a8c5a208a", "54eee7f3e86e4a7dade646054f0b3872", "e902b56f022641fb89a12a48fca6de99", "aeff49ce4e1e4b42aeca76feeca45d56" ] }, "id": "B65Iyx3ij4Ne", "outputId": "7db18ef3-e496-4ce7-cbdf-4b81b879353e" }, "execution_count": 11, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n", "WARNING:huggingface_hub.utils._http:Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "config.json: 0%| | 0.00/483 [00:00" ], "text/html": [ "\n", "
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StepTraining Loss
500.000137
1000.000115
1500.000098
2000.000087
2500.000075
3000.000067
3500.000065
4000.000057
4500.000053
5000.000049
5500.000048
6000.000045
6500.000043
7000.000041
7500.000039
8000.000037
8500.000035
9000.000035
9500.000034
10000.000033
10500.000031
11000.000031
11500.000030
12000.000031
12500.000029
13000.000029

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Training LossValidation LossStepAccuracy
0.0000290.00001913231.000000

" ] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "{'eval_loss': 1.8980124877998605e-05, 'eval_accuracy': 1.0}\n" ] } ] }, { "cell_type": "code", "source": [ "print(\n", " \"Test Accuracy:\",\n", " round(results[\"eval_accuracy\"] * 100, 2),\n", " \"%\"\n", ")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Mw1balXUkTbG", "outputId": "2a9d3080-00b4-4847-8ca4-2c6f6956a2da" }, "execution_count": 20, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Test Accuracy: 100.0 %\n" ] } ] }, { "cell_type": "code", "source": [ "predictions = trainer.predict(test_dataset)\n", "\n", "y_pred = np.argmax(\n", " predictions.predictions,\n", " axis=1\n", ")\n", "\n", "y_true = test_df[\"label\"].values\n", "\n", "print(\n", " classification_report(\n", " y_true,\n", " y_pred,\n", " target_names=[\n", " \"Movie\",\n", " \"TV Show\"\n", " ]\n", " )\n", ")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 173 }, "id": "TgBNNijfkTeU", "outputId": "86baee68-9fba-4afb-c6ce-25988883d5b4" }, "execution_count": 21, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ " precision recall f1-score support\n", "\n", " Movie 1.00 1.00 1.00 1227\n", " TV Show 1.00 1.00 1.00 535\n", "\n", " accuracy 1.00 1762\n", " macro avg 1.00 1.00 1.00 1762\n", "weighted avg 1.00 1.00 1.00 1762\n", "\n" ] } ] }, { "cell_type": "code", "source": [ "model.save_pretrained(\n", " \"netflix_finetuned_model\"\n", ")\n", "\n", "tokenizer.save_pretrained(\n", " \"netflix_finetuned_model\"\n", ")\n", "\n", "print(\"Fine-tuned model saved!\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 66, "referenced_widgets": [ "b68968a0716245f8a4b159c3a08b44d1", "4eca1f74fcee49fa982a3a5ad516f98e", "000ff34ea2b04370a61d84c29451e1f1", "31796e33f807480bbd98aee24a389492", "17ad83c19bb043099d50682a072c6339", "af5e75f8302445b99ad1ea432423f992", "8c5b2738aca14c5ea8635624a0efd38a", "214250339c934de8b156cef5497da867", "1f80c1a63dd04b4ea89f6e30c6609e8f", "00d1c38957c3429899937f0da4e93e39", "a331f6f1caa94631ba96f991f5598db1" ] }, "id": "rWWczT-8kHJC", "outputId": "ad3f2151-98f9-47ef-9edb-531506e38dbd" }, "execution_count": 22, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "Writing model shards: 0%| | 0/1 [00:00