{"id":29666,"date":"2024-10-28T01:55:59","date_gmt":"2024-10-28T01:55:59","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=29666"},"modified":"2024-11-26T06:51:47","modified_gmt":"2024-11-26T06:51:47","slug":"%ed%97%88%ea%b9%85%ed%8e%98%ec%9d%b4%ec%8a%a4-%ed%8a%b8%eb%a0%8c%ec%8a%a4%ed%8f%ac%eb%a8%b8-%ed%99%9c%ec%9a%a9%ea%b0%95%ec%a2%8c-%eb%b6%84%eb%a5%98-%eb%a6%ac%ed%8f%ac%ed%8a%b8","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/29666\/","title":{"rendered":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \ubd84\ub958 \ub9ac\ud3ec\ud2b8"},"content":{"rendered":"

<\/p>\n

\ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP) \ubd84\uc57c\ub294 \ube44\uc57d\uc801\uc778 \ubc1c\uc804\uc744 \uc774\ub8e8\uc5c8\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc2ec\uc5d0\ub294 \ub525\ub7ec\ub2dd<\/strong>\uacfc \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ubaa8\ub378<\/strong>\uc774 \uc790\ub9ac \uc7a1\uace0 \uc788\uc73c\uba70, \ud2b9\ud788 \ud5c8\uae45\ud398\uc774\uc2a4<\/strong>\uc758 Transformers<\/strong> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub9ce\uc740 \uc5f0\uad6c\uc790 \ubc0f \uac1c\ubc1c\uc790\ub4e4\uc5d0\uac8c \ub110\ub9ac \uc0ac\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec \ud14d\uc2a4\ud2b8 \ubd84\ub958 \ubaa8\ub378\uc744 \ud559\uc2b5\ud558\uace0 \ud3c9\uac00\ud558\ub294 \ubc29\ubc95\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

1. \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac \uc18c\uac1c<\/h2>\n

\ud5c8\uae45\ud398\uc774\uc2a4\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \uc0ac\uc6a9\uc790\uac00 \uc0ac\uc804 \ud559\uc2b5\ub41c \ub2e4\uc591\ud55c \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ubaa8\ub378\uc744 \uc27d\uac8c \uc0ac\uc6a9\ud558\uace0, \uc790\uc2e0\uc758 \ub370\uc774\ud130\uc5d0 \ub9de\uac8c \ubaa8\ub378\uc744 fine-tuning\ud560 \uc218 \uc788\ub3c4\ub85d \ub3d5\ub294 \uc624\ud508\uc18c\uc2a4 \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. BERT, GPT-2, RoBERTa \ub4f1 \ub2e4\uc591\ud55c \ubaa8\ub378\uc774 \ud3ec\ud568\ub418\uc5b4 \uc788\uc73c\uba70, API\uac00 \uc9c1\uad00\uc801\uc774\uc5b4\uc11c \uac04\ud3b8\ud558\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

2. \ud14d\uc2a4\ud2b8 \ubd84\ub958 \ubb38\uc81c \uc815\uc758<\/h2>\n

\ud14d\uc2a4\ud2b8 \ubd84\ub958\ub294 \uc8fc\uc5b4\uc9c4 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ud558\ub098 \uc774\uc0c1\uc758 \ud074\ub798\uc2a4 \ub808\uc774\ube14\ub85c \ubd84\ub958\ud558\ub294 \uc791\uc5c5\uc785\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc774\uba54\uc77c\uc774 \uc2a4\ud338\uc778\uc9c0 \uc544\ub2cc\uc9c0\ub97c \ubd84\ub958\ud558\ub294 \ubb38\uc81c \ub610\ub294 \uc601\ud654 \ub9ac\ubdf0\uac00 \uae0d\uc815\uc801\uc778\uc9c0 \ubd80\uc815\uc801\uc778\uc9c0\ub97c \ubd84\ub958\ud558\ub294 \ubb38\uc81c\uac00 \uc774\uc5d0 \ud574\ub2f9\ud569\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \uac04\ub2e8\ud55c \uc608\ub85c IMDB \uc601\ud654 \ub9ac\ubdf0 \ub370\uc774\ud130\uc14b\uc744 \uc0ac\uc6a9\ud558\uc5ec \uae0d\uc815 \ubc0f \ubd80\uc815 \ub9ac\ubdf0\ub85c \ubd84\ub958\ud558\ub294 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

3. \ub370\uc774\ud130\ub85c\ub4dc \ubc0f \uae30\ubcf8 \uc804\ucc98\ub9ac<\/h2>\n

\uc6b0\uc120, \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud558\uace0, IMDB \ub370\uc774\ud130\uc14b\uc744 \ub85c\ub4dc\ud558\uaca0\uc2b5\ub2c8\ub2e4. IMDB \ub370\uc774\ud130\uc14b\uc740 \uc601\ud654 \ub9ac\ubdf0\uc640 \ud574\ub2f9 \ub9ac\ubdf0\uc758 \uac10\uc815 \ub808\uc774\ube14\uc744 \ud3ec\ud568\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

python\n# \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uce58\n!pip install transformers torch datasets\n\n# \ub77c\uc774\ube0c\ub7ec\ub9ac \uc784\ud3ec\ud2b8\nfrom datasets import load_dataset\n\n# IMDB \ub370\uc774\ud130\uc14b \ub85c\ub4dc\ndataset = load_dataset('imdb')\n\nprint(dataset)\n<\/code><\/pre>\n
\uc704 \ucf54\ub4dc\ub97c \uc2e4\ud589\ud558\uba74 IMDB \ub370\uc774\ud130\uc14b\uc774 \ub85c\ub4dc\ub418\uace0, train\uacfc validation \uc138\ud2b8\ub85c \ub098\ub204\uc5b4\uc838 \uc788\ub294 \uac83\uc744 \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uac01 \ub370\uc774\ud130\uc14b\uc740 \uc601\ud654 \ub9ac\ubdf0\uc640 \uac10\uc815 \ub808\uc774\ube14\uc744 \ud3ec\ud568\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
4. \ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h2>\n
\ubaa8\ub378\uc5d0 \ub370\uc774\ud130\ub97c \uc785\ub825\ud558\uae30 \uc704\ud574\uc11c\ub294 \ud14d\uc2a4\ud2b8 \ud1a0\ud070\ud654\uc640 \uc778\ucf54\ub529\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ubaa8\ub378\uc5d0\uc11c \uc81c\uacf5\ud558\ub294 \ud1a0\ud06c\ub098\uc774\uc800\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud14d\uc2a4\ud2b8\ub97c \ucc98\ub9ac\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
python\nfrom transformers import AutoTokenizer\n\n# \ubaa8\ub378\uba85 \uc124\uc815\nmodel_name = 'distilbert-base-uncased'\ntokenizer = AutoTokenizer.from_pretrained(model_name)\n\n# \uc0d8\ud50c \ub370\uc774\ud130 \ud655\uc778\nsample_text = dataset['train'][0]['text']\nencoded_input = tokenizer(sample_text, padding='max_length', truncation=True, return_tensors='pt')\n\nprint(encoded_input)\n<\/code><\/pre>\n
\uc704 \ucf54\ub4dc\ub294 DistilBERT \ubaa8\ub378\uc758 \ud1a0\ud06c\ub098\uc774\uc800\ub97c \uc0ac\uc6a9\ud558\uc5ec \uccab \ubc88\uc9f8 \uc601\ud654 \ub9ac\ubdf0\ub97c \ud1a0\ud070\ud654\ud558\uace0, \ucd5c\ub300 \uae38\uc774\uc5d0 \ub9de\uac8c \ud328\ub529 \ubc0f \uc798\ub77c\ub0b4\uae30\ub97c \uc218\ud589\ud558\uc5ec \uc778\ucf54\ub529\ub41c \ud150\uc11c\ub97c \ucd9c\ub825\ud569\ub2c8\ub2e4.<\/p>\n
5. \ubaa8\ub378 \uc815\uc758 \ubc0f \ud559\uc2b5<\/h2>\n
\uc774\uc81c \ubaa8\ub378\uc744 \uc815\uc758\ud558\uace0 \ud559\uc2b5\uc744 \uc9c4\ud589\ud558\uaca0\uc2b5\ub2c8\ub2e4. \ud5c8\uae45\ud398\uc774\uc2a4\uc758 Trainer API\ub97c \ud65c\uc6a9\ud558\uc5ec \ud559\uc2b5 \uacfc\uc815\uc744 \uac04\ud3b8\ud558\uac8c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
python\nfrom transformers import AutoModelForSequenceClassification, Trainer, TrainingArguments\n\n# \ubaa8\ub378 \ub85c\ub4dc\nmodel = AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=2)\n\n# \ud559\uc2b5 \uc778\uc790 \uc815\uc758\ntraining_args = TrainingArguments(\n    output_dir='.\/results',\n    num_train_epochs=3,\n    per_device_train_batch_size=8,\n    per_device_eval_batch_size=8,\n    warmup_steps=500,\n    weight_decay=0.01,\n    logging_dir='.\/logs',\n)\n\n# Trainer \uac1d\uccb4 \uc0dd\uc131\ntrainer = Trainer(\n    model=model,\n    args=training_args,\n    train_dataset=dataset['train'],\n    eval_dataset=dataset['test']\n)\n\n# \ubaa8\ub378 \ud559\uc2b5\ntrainer.train()\n<\/code><\/pre>\n
\uc704 \ucf54\ub4dc\ub294 DistilBERT \uae30\ubc18\uc758 \ud14d\uc2a4\ud2b8 \ubd84\ub958 \ubaa8\ub378\uc744 \uc815\uc758\ud558\uace0, Trainer API\ub97c \uc0ac\uc6a9\ud558\uc5ec IMDB \ub370\uc774\ud130\uc14b\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4. \ud559\uc2b5\uc774 \uc644\ub8cc\ub418\uba74 \uac00\uc911\uce58\uac00 .\/results \ud3f4\ub354\uc5d0 \uc800\uc7a5\ub429\ub2c8\ub2e4.<\/p>\n
6. \ubaa8\ub378 \ud3c9\uac00<\/h2>\n
\ubaa8\ub378 \ud559\uc2b5 \ud6c4, \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\uc14b\uc744 \uc774\uc6a9\ud558\uc5ec \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ud3c9\uac00 \uc9c0\ud45c\ub85c\ub294 \uc815\ud655\ub3c4(Accuracy)\ub97c \uc0ac\uc6a9\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
python\n# \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\uc14b\uc73c\ub85c \ud3c9\uac00\nresults = trainer.evaluate()\n\nprint(f\"Accuracy: {results['eval_accuracy']:.2f}\")\n<\/code><\/pre>\n
\ubaa8\ub378 \ud3c9\uac00 \ud6c4 \uc815\ud655\ub3c4\ub97c \ucd9c\ub825\ud558\uac8c \ub429\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
7. \uc608\uce21 \ubc0f \ubd84\ub958 \ub9ac\ud3ec\ud2b8<\/h2>\n
\uc774\uc81c, \ud559\uc2b5\ub41c \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc0c8\ub85c\uc6b4 \ub370\uc774\ud130\uc5d0 \ub300\ud55c \uc608\uce21\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \ucf54\ub4dc\ub97c \ud1b5\ud574 \uc608\uce21 \uacb0\uacfc\ub97c \ud655\uc778\ud558\uace0, \uadf8 \uacb0\uacfc\uc758 \ubd84\ub958 \ub9ac\ud3ec\ud2b8\ub97c \ucd9c\ub825\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
python\nfrom sklearn.metrics import classification_report\nimport numpy as np\n\n# \uc608\uce21 \ub370\uc774\ud130 \uc900\ube44\npredictions = trainer.predict(dataset['test'])\npreds = np.argmax(predictions.predictions, axis=1)\n\n# \ubd84\ub958 \ub9ac\ud3ec\ud2b8 \ucd9c\ub825\nreport = classification_report(dataset['test']['label'], preds)\nprint(report)\n<\/code><\/pre>\n
\uc704 \ucf54\ub4dc\ub294 \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\uc14b\uc5d0 \ub300\ud574 \uc608\uce21\uc744 \uc218\ud589\ud558\uace0, sklearn\uc758 classification_report\ub97c \ud65c\uc6a9\ud558\uc5ec Precision, Recall, F1-Score \ub4f1\uc758 \uc9c0\ud45c\ub97c \ucd9c\ub825\ud569\ub2c8\ub2e4. \uc774 \ub9ac\ud3ec\ud2b8\ub97c \ud1b5\ud574 \ubaa8\ub378\uc758 \uc131\ub2a5\uc5d0 \ub300\ud55c \uc0c1\uc138\ud55c \uc815\ubcf4\ub97c \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
8. \uacb0\ub860 \ubc0f \ub2e4\uc74c \ub2e8\uacc4<\/h2>\n
\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec \uac04\ub2e8\ud55c \ud14d\uc2a4\ud2b8 \ubd84\ub958 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uace0, \uc774\ub97c \ud3c9\uac00\ud558\ub294 \uacfc\uc815\uc744 \uc0b4\ud3b4\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \uc9c0\uc18d\uc801\uc73c\ub85c \uac1c\uc120\ud558\uae30 \uc704\ud574 \ub370\uc774\ud130 \uc804\ucc98\ub9ac \ub2e8\uacc4\uc5d0\uc11c \ub354\uc6b1 \ub2e4\uc591\ud55c \uae30\ubc95\uc744 \uc801\uc6a9\ud558\uac70\ub098, Hyperparameter \ud29c\ub2dd \ub4f1\uc744 \uace0\ub824\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
\uc55e\uc73c\ub85c\ub3c4 \ub2e4\uc591\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubb38\uc81c\ub97c \ub2e4\ub8e8\uba70, \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud55c \uc2ec\ud654 \uac15\uc88c\ub97c \uc9c4\ud589\ud560 \uc608\uc815\uc774\uc624\ub2c8 \ub9ce\uc740 \uad00\uc2ec \ubd80\ud0c1\ub4dc\ub9bd\ub2c8\ub2e4. \uac10\uc0ac\ud569\ub2c8\ub2e4!<\/p>\n
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\ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP) \ubd84\uc57c\ub294 \ube44\uc57d\uc801\uc778 \ubc1c\uc804\uc744 \uc774\ub8e8\uc5c8\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc2ec\uc5d0\ub294 \ub525\ub7ec\ub2dd\uacfc \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ubaa8\ub378\uc774 \uc790\ub9ac \uc7a1\uace0 \uc788\uc73c\uba70, \ud2b9\ud788 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub9ce\uc740 \uc5f0\uad6c\uc790 \ubc0f \uac1c\ubc1c\uc790\ub4e4\uc5d0\uac8c \ub110\ub9ac \uc0ac\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec \ud14d\uc2a4\ud2b8 \ubd84\ub958 \ubaa8\ub378\uc744 \ud559\uc2b5\ud558\uace0 \ud3c9\uac00\ud558\ub294 \ubc29\ubc95\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac \uc18c\uac1c \ud5c8\uae45\ud398\uc774\uc2a4\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \uc0ac\uc6a9\uc790\uac00 \uc0ac\uc804 \ud559\uc2b5\ub41c \ub2e4\uc591\ud55c \ud2b8\ub79c\uc2a4\ud3ec\uba38 … \ub354 \ubcf4\uae30 “\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \ubd84\ub958 \ub9ac\ud3ec\ud2b8”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[30],"tags":[],"class_list":["post-29666","post","type-post","status-publish","format-standard","hentry","category-30"],"yoast_head":"\n\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \ubd84\ub958 \ub9ac\ud3ec\ud2b8 - 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