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4f23a2b
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Parent(s):
7f56829
Upload XGBoost_embedding.ipynb
Browse files- XGBoost_embedding.ipynb +593 -0
XGBoost_embedding.ipynb
ADDED
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| 1 |
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"Requirement already satisfied: FlagEmbedding in /usr/local/lib/python3.10/dist-packages (1.3.3)\n",
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"Requirement already satisfied: torch>=1.6.0 in /usr/local/lib/python3.10/dist-packages (from FlagEmbedding) (2.5.1+cu121)\n",
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"Requirement already satisfied: transformers==4.44.2 in /usr/local/lib/python3.10/dist-packages (from FlagEmbedding) (4.44.2)\n",
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"Requirement already satisfied: datasets==2.19.0 in /usr/local/lib/python3.10/dist-packages (from FlagEmbedding) (2.19.0)\n",
|
| 419 |
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"Requirement already satisfied: accelerate>=0.20.1 in /usr/local/lib/python3.10/dist-packages (from FlagEmbedding) (1.1.1)\n",
|
| 420 |
+
"Requirement already satisfied: sentence-transformers in /usr/local/lib/python3.10/dist-packages (from FlagEmbedding) (3.2.1)\n",
|
| 421 |
+
"Requirement already satisfied: peft in /usr/local/lib/python3.10/dist-packages (from FlagEmbedding) (0.13.2)\n",
|
| 422 |
+
"Requirement already satisfied: ir-datasets in /usr/local/lib/python3.10/dist-packages (from FlagEmbedding) (0.5.9)\n",
|
| 423 |
+
"Requirement already satisfied: sentencepiece in /usr/local/lib/python3.10/dist-packages (from FlagEmbedding) (0.2.0)\n",
|
| 424 |
+
"Requirement already satisfied: protobuf in /usr/local/lib/python3.10/dist-packages (from FlagEmbedding) (4.25.5)\n",
|
| 425 |
+
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from datasets==2.19.0->FlagEmbedding) (3.16.1)\n",
|
| 426 |
+
"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from datasets==2.19.0->FlagEmbedding) (1.26.4)\n",
|
| 427 |
+
"Requirement already satisfied: pyarrow>=12.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets==2.19.0->FlagEmbedding) (17.0.0)\n",
|
| 428 |
+
"Requirement already satisfied: pyarrow-hotfix in /usr/local/lib/python3.10/dist-packages (from datasets==2.19.0->FlagEmbedding) (0.6)\n",
|
| 429 |
+
"Requirement already satisfied: dill<0.3.9,>=0.3.0 in /usr/local/lib/python3.10/dist-packages (from datasets==2.19.0->FlagEmbedding) (0.3.8)\n",
|
| 430 |
+
"Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from datasets==2.19.0->FlagEmbedding) (2.2.2)\n",
|
| 431 |
+
"Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.10/dist-packages (from datasets==2.19.0->FlagEmbedding) (2.32.3)\n",
|
| 432 |
+
"Requirement already satisfied: tqdm>=4.62.1 in /usr/local/lib/python3.10/dist-packages (from datasets==2.19.0->FlagEmbedding) (4.66.6)\n",
|
| 433 |
+
"Requirement already satisfied: xxhash in /usr/local/lib/python3.10/dist-packages (from datasets==2.19.0->FlagEmbedding) (3.5.0)\n",
|
| 434 |
+
"Requirement already satisfied: multiprocess in /usr/local/lib/python3.10/dist-packages (from datasets==2.19.0->FlagEmbedding) (0.70.16)\n",
|
| 435 |
+
"Requirement already satisfied: fsspec<=2024.3.1,>=2023.1.0 in /usr/local/lib/python3.10/dist-packages (from fsspec[http]<=2024.3.1,>=2023.1.0->datasets==2.19.0->FlagEmbedding) (2024.3.1)\n",
|
| 436 |
+
"Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from datasets==2.19.0->FlagEmbedding) (3.11.9)\n",
|
| 437 |
+
"Requirement already satisfied: huggingface-hub>=0.21.2 in /usr/local/lib/python3.10/dist-packages (from datasets==2.19.0->FlagEmbedding) (0.26.3)\n",
|
| 438 |
+
"Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from datasets==2.19.0->FlagEmbedding) (24.2)\n",
|
| 439 |
+
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from datasets==2.19.0->FlagEmbedding) (6.0.2)\n",
|
| 440 |
+
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.44.2->FlagEmbedding) (2024.9.11)\n",
|
| 441 |
+
"Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.44.2->FlagEmbedding) (0.4.5)\n",
|
| 442 |
+
"Requirement already satisfied: tokenizers<0.20,>=0.19 in /usr/local/lib/python3.10/dist-packages (from transformers==4.44.2->FlagEmbedding) (0.19.1)\n",
|
| 443 |
+
"Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate>=0.20.1->FlagEmbedding) (5.9.5)\n",
|
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{
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],
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"version_major": 2,
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"version_minor": 0,
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"model_id": "d564a252f0994e50a82e49477311aaaf"
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}
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},
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"metadata": {}
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}
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]
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},
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{
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"cell_type": "code",
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| 503 |
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"source": [
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| 504 |
+
"#import pandas as pd\n",
|
| 505 |
+
"import xgboost as xgb\n",
|
| 506 |
+
"from sklearn.metrics import accuracy_score, classification_report\n",
|
| 507 |
+
"\n",
|
| 508 |
+
"csv_file_path = '/content/drive/Shared drives/5190_NLP_Project/test_data_random_subset.csv'\n",
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| 509 |
+
"model_path = '/content/drive/Shared drives/5190_NLP_Project/xgboost_model/final_xgboost_model.json'\n",
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+
"\n",
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| 511 |
+
"data = pd.read_csv(csv_file_path, index_col=0)\n",
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| 512 |
+
"\n",
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| 513 |
+
"titles = data['title'].tolist()\n",
|
| 514 |
+
"labels = data['labels'].tolist()\n",
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| 515 |
+
"\n",
|
| 516 |
+
"labels = [1 if label == 0 else 0 for label in labels]\n",
|
| 517 |
+
"\n",
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| 518 |
+
"batch_size = 32\n",
|
| 519 |
+
"embeddings = []\n",
|
| 520 |
+
"\n",
|
| 521 |
+
"print('Encoding titles...')\n",
|
| 522 |
+
"for i in range(0, len(titles), batch_size):\n",
|
| 523 |
+
" batch = titles[i:i + batch_size]\n",
|
| 524 |
+
" batch_embeddings = model.encode(batch, batch_size=batch_size, max_length=512)['dense_vecs']\n",
|
| 525 |
+
" embeddings.extend(batch_embeddings)\n",
|
| 526 |
+
" print(f\"Processed {i + len(batch)}/{len(titles)} titles\")\n",
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| 527 |
+
"\n",
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| 528 |
+
"embeddings_df = pd.DataFrame(embeddings)\n",
|
| 529 |
+
"embeddings_df['label'] = labels\n",
|
| 530 |
+
"\n",
|
| 531 |
+
"X = embeddings_df.iloc[:, :-1].values\n",
|
| 532 |
+
"y = embeddings_df['label'].values\n",
|
| 533 |
+
"\n",
|
| 534 |
+
"\n",
|
| 535 |
+
"print('Loading XGBoost model...')\n",
|
| 536 |
+
"xgboost_model = xgb.XGBClassifier()\n",
|
| 537 |
+
"xgboost_model.load_model(model_path)\n",
|
| 538 |
+
"\n",
|
| 539 |
+
"print('Making predictions...')\n",
|
| 540 |
+
"y_pred_prob = xgboost_model.predict(X)\n",
|
| 541 |
+
"y_pred = (y_pred_prob >= 0.5).astype(int)\n",
|
| 542 |
+
"\n",
|
| 543 |
+
"print(\"\\nModel Performance:\")\n",
|
| 544 |
+
"accuracy = accuracy_score(y, y_pred)\n",
|
| 545 |
+
"print(f\"Accuracy: {accuracy:.4f}\")\n",
|
| 546 |
+
"\n",
|
| 547 |
+
"print(\"\\nClassification Report:\\n\", classification_report(y, y_pred))\n",
|
| 548 |
+
"\n"
|
| 549 |
+
],
|
| 550 |
+
"metadata": {
|
| 551 |
+
"colab": {
|
| 552 |
+
"base_uri": "https://localhost:8080/"
|
| 553 |
+
},
|
| 554 |
+
"id": "O5L-7-7c-6B2",
|
| 555 |
+
"outputId": "39441b83-0302-40e8-aaff-bbb32ce0474a"
|
| 556 |
+
},
|
| 557 |
+
"execution_count": 4,
|
| 558 |
+
"outputs": [
|
| 559 |
+
{
|
| 560 |
+
"output_type": "stream",
|
| 561 |
+
"name": "stderr",
|
| 562 |
+
"text": [
|
| 563 |
+
"You're using a XLMRobertaTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.\n"
|
| 564 |
+
]
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"output_type": "stream",
|
| 568 |
+
"name": "stdout",
|
| 569 |
+
"text": [
|
| 570 |
+
"Encoding titles...\n",
|
| 571 |
+
"Processed 20/20 titles\n",
|
| 572 |
+
"Loading XGBoost model...\n",
|
| 573 |
+
"Making predictions...\n",
|
| 574 |
+
"\n",
|
| 575 |
+
"Model Performance:\n",
|
| 576 |
+
"Accuracy: 0.7500\n",
|
| 577 |
+
"\n",
|
| 578 |
+
"Classification Report:\n",
|
| 579 |
+
" precision recall f1-score support\n",
|
| 580 |
+
"\n",
|
| 581 |
+
" 0 0.73 0.80 0.76 10\n",
|
| 582 |
+
" 1 0.78 0.70 0.74 10\n",
|
| 583 |
+
"\n",
|
| 584 |
+
" accuracy 0.75 20\n",
|
| 585 |
+
" macro avg 0.75 0.75 0.75 20\n",
|
| 586 |
+
"weighted avg 0.75 0.75 0.75 20\n",
|
| 587 |
+
"\n"
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| 588 |
+
]
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| 589 |
+
}
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| 590 |
+
]
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| 591 |
+
}
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+
]
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+
}
|