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pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2023.3.post1)\n", "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->datasets) (1.16.0)\n", "Installing collected packages: pyarrow-hotfix, dill, multiprocess, datasets\n", "Successfully installed datasets-2.15.0 dill-0.3.7 multiprocess-0.70.15 pyarrow-hotfix-0.6\n" ] } ], "source": [ "!pip install datasets" ] }, { "cell_type": "code", "source": [ "import pandas as pd\n", "import tensorflow as tf\n", "from transformers import DistilBertTokenizerFast, TFDistilBertForSequenceClassification\n", "from sklearn.model_selection import train_test_split\n", "from datasets import load_dataset" ], "metadata": { "id": "fDxkomU9ID4-" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "#cargamos el dataset completo\n", "dataset = load_dataset(\"FredZhang7/all-scam-spam\")\n", "print(dataset['train'])" ], "metadata": { 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textis_spam
0Re: New Sequences Window\\n\\n Date: W...0
1[zzzzteana] RE: Alexander\\n\\nMartin A posted:\\...0
2[zzzzteana] Moscow bomber\\n\\nMan Threatens Exp...0
3[IRR] Klez: The Virus That Won't Die\\n\\nKlez:...0
4Re: [zzzzteana] Nothing like mama used to make...0
.........
42614Какой у тебя любимый цвет? Фантастический един...1
42615Что ты сегодня ел, Чудо-печенье1
42616Что ты думаешь о спорте? Секретный ключ1
42617Какой твой любимый вид спорта, Волшебный ковер1
42618Ты умеешь петь? Чудо-птица1
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textis_spam
37790No. She's currently in scotland for that.0
12273timesheets\\n\\nhello all :\\ni am afraid i did n...0
15159vp & director count for the research group\\n\\n...0
14437re : mr . sud\\n\\nvince ,\\nit never hurts ( or ...0
7386hpl expense contracts\\n\\nfyi . . . . . . . . c...0
.........
36826Alright, I'll head out in a few minutes, text ...0
28801full time analysts opp .\\n\\nthis candidate is ...0
561Since we were on the subject...\\n\\n\\nGays, gay...0
15536special report ! tivo : now or never ?\\n\\nin t...1
36290increase your penis size\\n\\nyes . . it is poss...1
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\n" ] }, "metadata": {}, "execution_count": 5 } ] }, { "cell_type": "code", "source": [ "#feature independiente\n", "X=list(df['text'])\n", "#feature dependiente\n", "#La ventaja del dataset, es que ya viene binario (no ocupamos utilizar la funcioon pd.get_dummies)\n", "y=list(df['is_spam'])" ], "metadata": { "id": "fwQVyNvvIx47" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# Split the data\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)\n", "\n", "# Initialize the tokenizer\n", "tokenizer = DistilBertTokenizerFast.from_pretrained('distilbert-base-uncased')\n", "\n", "# Tokenize the text\n", "train_encodings = tokenizer(X_train, truncation=True, padding=True)\n", "test_encodings = tokenizer(X_test, truncation=True, padding=True)\n", "\n", "# Convert the encodings to a TensorFlow dataset\n", "train_dataset = tf.data.Dataset.from_tensor_slices((\n", " dict(train_encodings),\n", " y_train\n", "))\n", "test_dataset = tf.data.Dataset.from_tensor_slices((\n", " dict(test_encodings),\n", " y_test\n", "))\n", "\n", "# Load the pre-trained DistilBERT model\n", "model = TFDistilBertForSequenceClassification.from_pretrained('distilbert-base-uncased')\n", "\n", "# Compile the model\n", "model.compile(\n", " optimizer=tf.keras.optimizers.Adam(learning_rate=5e-5),\n", " loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n", " metrics=tf.metrics.SparseCategoricalAccuracy()\n", ")\n", "\n", "# Train the model\n", "model.fit(\n", " train_dataset.shuffle(1000).batch(8),\n", " epochs=2,\n", " batch_size=8,\n", " validation_data=test_dataset.batch(16)\n", ")\n", "\n", "# Save the model\n", "model.save_pretrained('./saved_model/')\n", "# Save tokenizer\n", "tokenizer.save_pretrained('./saved_model')" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 451, "referenced_widgets": [ "01df8ebb4f6d415bb44820443d56a72b", "42ee8b7b825e45fe9d21c58c0d8560da", 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"36614a83-5d3e-4849-c51d-e47fdf438a09" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "tokenizer_config.json: 0%| | 0.00/28.0 [00:00=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (2023.6.0)\n", "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (2.31.0)\n", "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (4.66.1)\n", "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (6.0.1)\n", "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (4.5.0)\n", "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (23.2)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in 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