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"text": [
"Collecting datasets\n",
" Downloading datasets-3.3.2-py3-none-any.whl.metadata (19 kB)\n",
"Requirement already satisfied: transformers in /usr/local/lib/python3.11/dist-packages (4.48.3)\n",
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"\u001b[?25hInstalling collected packages: xxhash, nvidia-nvjitlink-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, dill, nvidia-cusparse-cu12, nvidia-cudnn-cu12, multiprocess, nvidia-cusolver-cu12, datasets\n",
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" Found existing installation: nvidia-nvjitlink-cu12 12.5.82\n",
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" Found existing installation: nvidia-cuda-cupti-cu12 12.5.82\n",
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" Found existing installation: nvidia-cusolver-cu12 11.6.3.83\n",
" Uninstalling nvidia-cusolver-cu12-11.6.3.83:\n",
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"Successfully installed datasets-3.3.2 dill-0.3.8 multiprocess-0.70.16 nvidia-cublas-cu12-12.4.5.8 nvidia-cuda-cupti-cu12-12.4.127 nvidia-cuda-nvrtc-cu12-12.4.127 nvidia-cuda-runtime-cu12-12.4.127 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nvjitlink-cu12-12.4.127 xxhash-3.5.0\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"from datasets import load_dataset\n",
"\n",
"# Load dataset from Hugging Face\n",
"dataset = load_dataset(\"Sri221006/Tamil_Colloquial_Dataset\")\n",
"print(dataset)\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 309,
"referenced_widgets": [
"a06c9fd9c14540669987ac3afe664988",
"6b045b7b45f8477cbef29ac4e41e877b",
"072efcb385474d2c9557f7f8b32327fb",
"657ace9673f64c7f8134fc8cf4adc039",
"69b68042a540411492839ef01d1d249a",
"26039959c3724284a2398c7e4f5f9362",
"7bce065bc52a4ed582d93800347cab17",
"50e729f7655e4487b672f2d1fc7ffb00",
"aa1f9826231544519a245b394bce95ef",
"cb798dd1c5f743fa8d5ca9d819c0cafc",
"9b80009fcc894860ad309f69d9c6239c",
"1aedf98110654a32aba9c8a94208632c",
"267eac1f10da45ebaef2c4415475a23c",
"4a86ef4b37504beeb5ad40782e6b154a",
"feabd3166b064c91a2f98a88d6e366ea",
"ff0e49a1a71a4a4da16aaec8bdac4e3d",
"3fa281f83f7144debb22b33d2aac9000",
"69a33c28473940ccb60772f399f35358",
"d18ff9e8ccfd482195bccd4d49044c2d",
"7a72e54ba1dc40f5aa6845ae85c5b3ff",
"0b5e93a75f874e6595b7887b7339082e",
"662aa4baf1bb4389b5b55d8f4fd507c5"
]
},
"id": "30N7nCp5jeVm",
"outputId": "6aba3cb5-c2e1-4c8c-8932-bf1deaced13a"
},
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n",
"The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
"To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
"You will be able to reuse this secret in all of your notebooks.\n",
"Please note that authentication is recommended but still optional to access public models or datasets.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
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}
]
},
{
"cell_type": "code",
"source": [
"from datasets import load_dataset\n",
"\n",
"# Load your dataset from Hugging Face\n",
"dataset = load_dataset(\"Sri221006/Tamil_Colloquial_Dataset\")\n",
"\n",
"# Check the structure of the dataset\n",
"print(dataset)\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 185,
"referenced_widgets": [
"f0fafb511a2546d799fcefe20d0772d8",
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"5e3cd29a339b4f2192a6bf50f214275a",
"1c1ffc86c3bf489d9ef0bdb13c75162a",
"124bfe27eff74e1c992979e6f775d8bd",
"b72a303c13d84520aa74f0e54d272230",
"fd86012bf3504158b3317fc5bf292c08",
"7ed174fdefbe42169d7edfc8e7b017a4",
"2b99e342185d488093887df5f5bd5a48",
"55f817e424054470b9f78b827a55bbc9",
"44870ad40bdb4b5c8e56ee196940dceb",
"b5fa2f7d437d4639ba5b85dd798e4698",
"409fe6f5bd424c88a53ab9578ee35441",
"d9f0fea6b1cd43138dba67bdcd632761",
"70aecab51318450e963992d6cdc42773",
"b0b059c322c04379b4b454185a9146da",
"f4c4dd3bcdc844debf90f861ecea7a72",
"ab0c4d29a0ef4fd28eccad9bc92e8cf4",
"fc5d2e05e06f457d8c8047668d9474a0",
"3a0bcef566cd45ff887d60b297876594",
"8796e77aaeae4212bd0175bae6cbe587"
]
},
"id": "LVHfEzTiw6Hq",
"outputId": "d858730b-301b-4bcb-f846-49068654da2f"
},
"execution_count": 5,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"Dataset.csv: 0%| | 0.00/6.98k [00:00:4: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead.\n",
" trainer = Trainer(\n"
]
},
{
"data": {
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"
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" 3.685700 | \n",
" 1.323778 | \n",
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" 2.438600 | \n",
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"output_type": "display_data",
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" 3.685700 | \n",
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"metadata": {}
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{
"output_type": "execute_result",
"data": {
"text/plain": [
"TrainOutput(global_step=36, training_loss=2.990552054511176, metrics={'train_runtime': 563.1494, 'train_samples_per_second': 0.479, 'train_steps_per_second': 0.064, 'total_flos': 1160655505536.0, 'train_loss': 2.990552054511176, 'epoch': 3.0})"
]
},
"metadata": {},
"execution_count": 19
}
]
},
{
"cell_type": "code",
"source": [
"trainer.save_model(\"./fine_tuned_model\")\n",
"tokenizer.save_pretrained(\"./fine_tuned_model\")\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "m7wclgg63re9",
"outputId": "ff28ac16-a97c-4d2b-ff9a-a6a59bed1307"
},
"execution_count": 21,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"('./fine_tuned_model/tokenizer_config.json',\n",
" './fine_tuned_model/special_tokens_map.json',\n",
" './fine_tuned_model/tokenizer.json')"
]
},
"metadata": {},
"execution_count": 21
}
]
},
{
"cell_type": "code",
"source": [
"# Evaluate the model on the validation set\n",
"results = trainer.evaluate()\n",
"print(results)\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 74
},
"id": "KMAzD9t93xVV",
"outputId": "1f415f38-7e26-4223-a3ea-d43ff436a38c"
},
"execution_count": 22,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
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