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"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 37
},
"executionInfo": {
"elapsed": 258,
"status": "ok",
"timestamp": 1749836201800,
"user": {
"displayName": "Sherbrooke Informatique",
"userId": "17298855329887496844"
},
"user_tz": 240
},
"id": "DP6O5SJKDNnX",
"outputId": "f2675a50-5f3b-4352-e74e-96f0ce1a6ee4"
},
"outputs": [
{
"data": {
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
},
"text/plain": [
"'hf_REDACTED_TOKEN'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from google.colab import userdata\n",
"userdata.get('HF_TOKEN')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 216
},
"executionInfo": {
"elapsed": 43,
"status": "error",
"timestamp": 1749836254070,
"user": {
"displayName": "Sherbrooke Informatique",
"userId": "17298855329887496844"
},
"user_tz": 240
},
"id": "kDiOO10WH4va",
"outputId": "f3336b84-e95f-4814-f2a3-9bb478089e2e"
},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'load_dataset' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-1-636644696>\u001b[0m in \u001b[0;36m<cell line: 0>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 15\u001b[0m \u001b[0;31m# Chargement et split du dataset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 16\u001b[0;31m \u001b[0mds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mload_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"opus_books\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"en-fr\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 17\u001b[0m \u001b[0ms\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"train\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain_test_split\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0.05\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mseed\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m42\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[0ms2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"train\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain_test_split\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0.05\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mseed\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m42\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mNameError\u001b[0m: name 'load_dataset' is not defined"
]
}
],
"source": [
"# Auth sur Hug‐Face si HF_TOKEN est défini dans Kaggle Secrets\n",
"try:\n",
" hf_token = UserSecretsClient().get_secret(\"HF_TOKEN\")\n",
" HfFolder.save_token(hf_token)\n",
"except:\n",
" pass\n",
"\n",
"# Configuration\n",
"MODEL = \"Helsinki-NLP/opus-mt-fr-en\"\n",
"SRC, TGT = \"fr\", \"en\"\n",
"BATCH = 32\n",
"EPOCHS = 3\n",
"OUTPUT = \"opus-mt-fr-en-colab\"\n",
"\n",
"# Chargement et split du dataset\n",
"ds = load_dataset(\"opus_books\", \"en-fr\")\n",
"s = ds[\"train\"].train_test_split(0.05, seed=42)\n",
"s2 = s[\"train\"].train_test_split(0.05, seed=42)\n",
"raw = DatasetDict({\"train\": s2[\"train\"], \"validation\": s2[\"test\"], \"test\": s[\"test\"]})\n",
"\n",
"# Tokenizer\n",
"tok = AutoTokenizer.from_pretrained(MODEL)\n",
"def preprocess(ex):\n",
" srcs = [t[SRC] for t in ex[\"translation\"]]\n",
" tgts = [t[TGT] for t in ex[\"translation\"]]\n",
" mi = tok(srcs, max_length=128, truncation=True, padding=False)\n",
" lb = tok(text_target=tgts, max_length=128, truncation=True, padding=False)\n",
" mi[\"labels\"] = lb[\"input_ids\"]\n",
" return mi\n",
"\n",
"tokenized = raw.map(preprocess, batched=True, remove_columns=raw[\"train\"].column_names)\n",
"\n",
"# Modèle + DataCollator + Métriques\n",
"device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
"model = AutoModelForSeq2SeqLM.from_pretrained(MODEL).to(device)\n",
"dc = DataCollatorForSeq2Seq(tok, model=model)\n",
"sacrebleu = evaluate.load(\"sacrebleu\")\n",
"\n",
"def compute_metrics(p):\n",
" preds, labels = p.predictions, p.label_ids\n",
" if isinstance(preds, tuple): preds = preds[0]\n",
" preds = np.where(preds != -100, preds, tok.pad_token_id)\n",
" labels = np.where(labels != -100, labels, tok.pad_token_id)\n",
" dp = tok.batch_decode(preds, skip_special_tokens=True)\n",
" dl = tok.batch_decode(labels, skip_special_tokens=True)\n",
" return {\"bleu\": sacrebleu.compute(predictions=dp, references=[[l] for l in dl])[\"score\"]}\n",
"\n",
"args = Seq2SeqTrainingArguments(\n",
" output_dir=OUTPUT,\n",
" evaluation_strategy=\"epoch\",\n",
" save_strategy=\"epoch\",\n",
" per_device_train_batch_size=BATCH,\n",
" per_device_eval_batch_size=BATCH,\n",
" learning_rate=2e-5,\n",
" num_train_epochs=EPOCHS,\n",
" predict_with_generate=True,\n",
" fp16=torch.cuda.is_available(),\n",
" load_best_model_at_end=True,\n",
" metric_for_best_model=\"bleu\",\n",
" push_to_hub=hf_token is not None,\n",
" hub_model_id=\"DomLoyer/\" + OUTPUT # remplace USERNAME par ton nom\n",
")\n",
"\n",
"trainer = Seq2SeqTrainer(\n",
" model=model, args=args,\n",
" train_dataset=tokenized[\"train\"],\n",
" eval_dataset=tokenized[\"validation\"],\n",
" tokenizer=tok, data_collator=dc,\n",
" compute_metrics=compute_metrics\n",
")\n",
"\n",
"# Lancement\n",
"trainer.train()\n",
"trainer.save_model()\n",
"print(trainer.predict(tokenized[\"test\"], metric_key_prefix=\"test\").metrics)\n",
"\n",
"# Inférence\n",
"for s in [\"Bonjour le monde\", \"J'espère BLEU ~40\", \"Bonne traduction !\"]:\n",
" out = model.generate(**tok(s, return_tensors=\"pt\", truncation=True).to(device),\n",
" max_length=128, num_beams=4)\n",
" print(f\"{s} → {tok.decode(out[0], skip_special_tokens=True)}\")\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"executionInfo": {
"elapsed": 29743,
"status": "ok",
"timestamp": 1749836237637,
"user": {
"displayName": "Sherbrooke Informatique",
"userId": "17298855329887496844"
},
"user_tz": 240
},
"id": "k6MeElK2WK08",
"outputId": "94355224-4616-473b-dade-c3b91fd127e6"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting datasets\n",
" Using cached datasets-3.6.0-py3-none-any.whl.metadata (19 kB)\n",
"Collecting huggingface_hub\n",
" Using cached huggingface_hub-0.33.0-py3-none-any.whl.metadata (14 kB)\n",
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"Collecting pyyaml>=5.1 (from datasets)\n",
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"Collecting typing-extensions>=3.7.4.3 (from huggingface_hub)\n",
" Using cached typing_extensions-4.14.0-py3-none-any.whl.metadata (3.0 kB)\n",
"Collecting hf-xet<2.0.0,>=1.1.2 (from huggingface_hub)\n",
" Using cached hf_xet-1.1.3-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (879 bytes)\n",
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" Using cached aiohttp-3.12.12-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.6 kB)\n",
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"Installing collected packages: pytz, xxhash, urllib3, tzdata, typing-extensions, tqdm, six, pyyaml, pyarrow, propcache, packaging, numpy, multidict, idna, hf-xet, fsspec, frozenlist, filelock, dill, charset_normalizer, certifi, attrs, aiohappyeyeballs, yarl, requests, python-dateutil, multiprocess, aiosignal, pandas, huggingface_hub, aiohttp, datasets\n",
" Attempting uninstall: pytz\n",
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" Successfully uninstalled typing_extensions-4.14.0\n",
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" Uninstalling six-1.17.0:\n",
" Successfully uninstalled six-1.17.0\n",
" Attempting uninstall: pyyaml\n",
" Found existing installation: PyYAML 6.0.2\n",
" Uninstalling PyYAML-6.0.2:\n",
" Successfully uninstalled PyYAML-6.0.2\n",
" Attempting uninstall: pyarrow\n",
" Found existing installation: pyarrow 20.0.0\n",
" Uninstalling pyarrow-20.0.0:\n",
" Successfully uninstalled pyarrow-20.0.0\n",
" Attempting uninstall: propcache\n",
" Found existing installation: propcache 0.3.2\n",
" Uninstalling propcache-0.3.2:\n",
" Successfully uninstalled propcache-0.3.2\n",
" Attempting uninstall: packaging\n",
" Found existing installation: packaging 25.0\n",
" Uninstalling packaging-25.0:\n",
" Successfully uninstalled packaging-25.0\n",
" Attempting uninstall: numpy\n",
" Found existing installation: numpy 2.3.0\n",
" Uninstalling numpy-2.3.0:\n",
" Successfully uninstalled numpy-2.3.0\n",
" Attempting uninstall: multidict\n",
" Found existing installation: multidict 6.4.4\n",
" Uninstalling multidict-6.4.4:\n",
" Successfully uninstalled multidict-6.4.4\n",
" Attempting uninstall: idna\n",
" Found existing installation: idna 3.10\n",
" Uninstalling idna-3.10:\n",
" Successfully uninstalled idna-3.10\n",
" Attempting uninstall: hf-xet\n",
" Found existing installation: hf-xet 1.1.3\n",
" Uninstalling hf-xet-1.1.3:\n",
" Successfully uninstalled hf-xet-1.1.3\n",
" Attempting uninstall: fsspec\n",
" Found existing installation: fsspec 2025.3.0\n",
" Uninstalling fsspec-2025.3.0:\n",
" Successfully uninstalled fsspec-2025.3.0\n",
" Attempting uninstall: frozenlist\n",
" Found existing installation: frozenlist 1.7.0\n",
" Uninstalling frozenlist-1.7.0:\n",
" Successfully uninstalled frozenlist-1.7.0\n",
" Attempting uninstall: filelock\n",
" Found existing installation: filelock 3.18.0\n",
" Uninstalling filelock-3.18.0:\n",
" Successfully uninstalled filelock-3.18.0\n",
" Attempting uninstall: dill\n",
" Found existing installation: dill 0.3.8\n",
" Uninstalling dill-0.3.8:\n",
" Successfully uninstalled dill-0.3.8\n",
" Attempting uninstall: charset_normalizer\n",
" Found existing installation: charset-normalizer 3.4.2\n",
" Uninstalling charset-normalizer-3.4.2:\n",
" Successfully uninstalled charset-normalizer-3.4.2\n",
" Attempting uninstall: certifi\n",
" Found existing installation: certifi 2025.4.26\n",
" Uninstalling certifi-2025.4.26:\n",
" Successfully uninstalled certifi-2025.4.26\n",
" Attempting uninstall: attrs\n",
" Found existing installation: attrs 25.3.0\n",
" Uninstalling attrs-25.3.0:\n",
" Successfully uninstalled attrs-25.3.0\n",
" Attempting uninstall: aiohappyeyeballs\n",
" Found existing installation: aiohappyeyeballs 2.6.1\n",
" Uninstalling aiohappyeyeballs-2.6.1:\n",
" Successfully uninstalled aiohappyeyeballs-2.6.1\n",
" Attempting uninstall: yarl\n",
" Found existing installation: yarl 1.20.1\n",
" Uninstalling yarl-1.20.1:\n",
" Successfully uninstalled yarl-1.20.1\n",
" Attempting uninstall: requests\n",
" Found existing installation: requests 2.32.4\n",
" Uninstalling requests-2.32.4:\n",
" Successfully uninstalled requests-2.32.4\n",
" Attempting uninstall: python-dateutil\n",
" Found existing installation: python-dateutil 2.9.0.post0\n",
" Uninstalling python-dateutil-2.9.0.post0:\n",
" Successfully uninstalled python-dateutil-2.9.0.post0\n",
" Attempting uninstall: multiprocess\n",
" Found existing installation: multiprocess 0.70.16\n",
" Uninstalling multiprocess-0.70.16:\n",
" Successfully uninstalled multiprocess-0.70.16\n",
" Attempting uninstall: aiosignal\n",
" Found existing installation: aiosignal 1.3.2\n",
" Uninstalling aiosignal-1.3.2:\n",
" Successfully uninstalled aiosignal-1.3.2\n",
" Attempting uninstall: pandas\n",
" Found existing installation: pandas 2.3.0\n",
" Uninstalling pandas-2.3.0:\n",
" Successfully uninstalled pandas-2.3.0\n",
" Attempting uninstall: huggingface_hub\n",
" Found existing installation: huggingface-hub 0.33.0\n",
" Uninstalling huggingface-hub-0.33.0:\n",
" Successfully uninstalled huggingface-hub-0.33.0\n",
" Attempting uninstall: aiohttp\n",
" Found existing installation: aiohttp 3.12.12\n",
" Uninstalling aiohttp-3.12.12:\n",
" Successfully uninstalled aiohttp-3.12.12\n",
" Attempting uninstall: datasets\n",
" Found existing installation: datasets 3.6.0\n",
" Uninstalling datasets-3.6.0:\n",
" Successfully uninstalled datasets-3.6.0\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"google-colab 1.0.0 requires pandas==2.2.2, but you have pandas 2.3.0 which is incompatible.\n",
"google-colab 1.0.0 requires requests==2.32.3, but you have requests 2.32.4 which is incompatible.\n",
"pylibcudf-cu12 25.2.1 requires pyarrow<20.0.0a0,>=14.0.0; platform_machine == \"x86_64\", but you have pyarrow 20.0.0 which is incompatible.\n",
"gcsfs 2025.3.2 requires fsspec==2025.3.2, but you have fsspec 2025.3.0 which is incompatible.\n",
"langchain-core 0.3.63 requires packaging<25,>=23.2, but you have packaging 25.0 which is incompatible.\n",
"tensorflow 2.18.0 requires numpy<2.1.0,>=1.26.0, but you have numpy 2.3.0 which is incompatible.\n",
"cudf-cu12 25.2.1 requires pandas<2.2.4dev0,>=2.0, but you have pandas 2.3.0 which is incompatible.\n",
"cudf-cu12 25.2.1 requires pyarrow<20.0.0a0,>=14.0.0; platform_machine == \"x86_64\", but you have pyarrow 20.0.0 which is incompatible.\n",
"cupy-cuda12x 13.3.0 requires numpy<2.3,>=1.22, but you have numpy 2.3.0 which is incompatible.\n",
"numba 0.60.0 requires numpy<2.1,>=1.22, but you have numpy 2.3.0 which is incompatible.\n",
"dask-cudf-cu12 25.2.2 requires pandas<2.2.4dev0,>=2.0, but you have pandas 2.3.0 which is incompatible.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed aiohappyeyeballs-2.6.1 aiohttp-3.12.12 aiosignal-1.3.2 attrs-25.3.0 certifi-2025.4.26 charset_normalizer-3.4.2 datasets-3.6.0 dill-0.3.8 filelock-3.18.0 frozenlist-1.7.0 fsspec-2025.3.0 hf-xet-1.1.3 huggingface_hub-0.33.0 idna-3.10 multidict-6.4.4 multiprocess-0.70.16 numpy-2.3.0 packaging-25.0 pandas-2.3.0 propcache-0.3.2 pyarrow-20.0.0 python-dateutil-2.9.0.post0 pytz-2025.2 pyyaml-6.0.2 requests-2.32.4 six-1.17.0 tqdm-4.67.1 typing-extensions-4.14.0 tzdata-2025.2 urllib3-2.4.0 xxhash-3.5.0 yarl-1.20.1\n"
]
},
{
"data": {
"application/vnd.colab-display-data+json": {
"id": "ae4d31dee6cd40b6a1fcf02dec1788df",
"pip_warning": {
"packages": [
"certifi",
"dateutil",
"numpy",
"packaging",
"six"
]
}
}
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"!pip install --upgrade --force-reinstall datasets huggingface_hub fsspec"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"executionInfo": {
"elapsed": 967,
"status": "ok",
"timestamp": 1749836238600,
"user": {
"displayName": "Sherbrooke Informatique",
"userId": "17298855329887496844"
},
"user_tz": 240
},
"id": "2Suudw5uV_j_"
},
"outputs": [],
"source": [
"from datasets import load_dataset, DatasetDict"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "VpxBdNZ5W1D_"
},
"outputs": [],
"source": []
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"authorship_tag": "ABX9TyNhHG9w1J+5wHaNvPlhZ376",
"gpuType": "T4",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
|