Masked Language Model(Masked LM):<\/strong> \uc785\ub825 \ub370\uc774\ud130\uc5d0\uc11c \ubb34\uc791\uc704\ub85c \ub2e8\uc5b4\ub97c \ub9c8\uc2a4\ud0b9\ud558\uace0 \ubaa8\ub378\uc774 \ud574\ub2f9 \ub2e8\uc5b4\ub97c \uc608\uce21\ud558\ub3c4\ub85d \ud6c8\ub828\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n\uc774\ub97c \ud1b5\ud574 BERT\ub294 \ub2e4\uc591\ud55c NLP \uc791\uc5c5, \uc608\ub97c \ub4e4\uc5b4 \ubb38\uc7a5 \ubd84\ub958, \uac10\uc815 \ubd84\uc11d, \uac1c\uccb4\uba85 \uc778\uc2dd \ub4f1\uc5d0\uc11c \uae30\uc874 \ubaa8\ub378\ubcf4\ub2e4 \ub354 \ub098\uc740 \uc131\ub2a5\uc744 \ubcf4\uc785\ub2c8\ub2e4.<\/p>\n
2. \uc559\uc0c1\ube14 \ud559\uc2b5\uc758 \ud544\uc694\uc131<\/h2>\n
\uc559\uc0c1\ube14 \ud559\uc2b5\uc740 \uc5ec\ub7ec \ubaa8\ub378\uc758 \uc608\uce21\uc744 \uacb0\ud569\ud558\uc5ec \uc131\ub2a5\uc744 \uac1c\uc120\ud558\ub294 \uae30\ubc95\uc785\ub2c8\ub2e4. \ub2e8\uc77c \ubaa8\ub378\uc5d0 \ube44\ud574 \uc77c\ubc18\ud654 \ub2a5\ub825\uc774 \ub6f0\uc5b4\ub098\uba70, \uacfc\uc801\ud569\uc744 \uc904\uc774\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4. BERT\uc640 \uac19\uc740 \ubcf5\uc7a1\ud55c \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud560 \ub54c\ub3c4 \uc559\uc0c1\ube14 \ud559\uc2b5\uc744 \ud1b5\ud574 \uc131\ub2a5 \uac1c\uc120\uc744 \uae30\ub300\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
3. \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac \uc18c\uac1c<\/h2>\n
\ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub2e4\uc591\ud55c \uc0ac\uc804 \ud6c8\ub828\ub41c NLP \ubaa8\ub378\uc744 \uc81c\uacf5\ud558\uba70, \uc0ac\uc6a9\uc790\uac00 \uc27d\uac8c \ubaa8\ub378\uc744 \ub85c\ub4dc\ud558\uace0 \ud6c8\ub828\ud560 \uc218 \uc788\ub3c4\ub85d \ub3d5\ub294 \uac15\ub825\ud55c \ub3c4\uad6c\uc785\ub2c8\ub2e4. \uc774 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud1b5\ud574 BERT\ub97c \ud3ec\ud568\ud55c \uc5ec\ub7ec \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ubaa8\ub378\uc744 \uac04\ud3b8\ud558\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
4. DataLoader \uac1c\uc694<\/h2>\n
\ub525\ub7ec\ub2dd \ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0a4\uae30 \uc704\ud574\uc11c\ub294 \ub370\uc774\ud130\uc14b\uc744 \ud6a8\uc728\uc801\uc73c\ub85c \ub85c\ub4dc\ud558\ub294 \uac83\uc774 \ub9e4\uc6b0 \uc911\uc694\ud569\ub2c8\ub2e4. DataLoader\ub294 \ub370\uc774\ud130\ub97c \ubc30\uce58(batch) \ub2e8\uc704\ub85c \ub85c\ub4dc\ud558\uba70 \ud6c8\ub828 \uc18d\ub3c4\ub97c \uadf9\ub300\ud654\ud569\ub2c8\ub2e4. \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\uc5d0\uc11c\ub294 Dataset<\/code>\uacfc DataLoader<\/code> \ud074\ub798\uc2a4\uac00 \uc774\ub7ec\ud55c \uacfc\uc815\uc744 \uc27d\uac8c \uc218\ud589\ud560 \uc218 \uc788\uac8c \ub3c4\uc640\uc90d\ub2c8\ub2e4.<\/p>\n4.1 Dataset \ud074\ub798\uc2a4<\/h3>\n
\ud5c8\uae45\ud398\uc774\uc2a4\uc758 Dataset<\/code> \ud074\ub798\uc2a4\ub294 \ub370\uc774\ud130\uc14b\uc744 \uc815\uc758\ud558\ub294 \ud45c\uc900 \uad6c\uc870\uc785\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ub370\uc774\ud130 \uc804\ucc98\ub9ac \ubc0f \ubc30\uce58 \uc0dd\uc131\uc774 \uc218\uc6d4\ud558\uac8c \uc774\ub8e8\uc5b4\uc9d1\ub2c8\ub2e4. Dataset<\/code> \ud074\ub798\uc2a4\ub97c \uc0c1\uc18d\ubc1b\uc544 \uc0ac\uc6a9\uc790\ub294 \uc790\uc2e0\uc758 \ub370\uc774\ud130\uc14b\uc5d0 \ub9de\ub294 \ubc29\uc2dd\uc73c\ub85c \uad6c\ud604\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n4.2 DataLoader \ud074\ub798\uc2a4<\/h3>\n
DataLoader<\/code>\ub294 \uc8fc\uc5b4\uc9c4 \ub370\uc774\ud130\uc14b\uc5d0\uc11c \ubc30\uce58\ub97c \uc0dd\uc131\ud558\uace0 \uc0d8\ud50c\ub9c1\ud558\ub294 \uc720\ud2f8\ub9ac\ud2f0\uc785\ub2c8\ub2e4. shuffle<\/code>, batch_size<\/code> \ub4f1\uc758 \ub9e4\uac1c\ubcc0\uc218\ub97c \ud1b5\ud574 \ub370\uc774\ud130\ub97c \ud6a8\uc728\uc801\uc73c\ub85c \ub85c\ub4dc\ud560 \uc218 \uc788\ub3c4\ub85d \ub3d5\uc2b5\ub2c8\ub2e4.<\/p>\n5. \uc2e4\uc2b5: BERT \uc559\uc0c1\ube14 \ud559\uc2b5\uc744 \uc704\ud55c DataLoader \uad6c\ud604<\/h2>\n
\uc774\uc81c \uc2e4\uc81c\ub85c BERT \ubaa8\ub378\uc744 \uc559\uc0c1\ube14 \ud559\uc2b5\ud558\uae30 \uc704\ud574 DataLoader\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \uc2e4\uc2b5\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uc804\uccb4\uc801\uc778 \ud750\ub984\uc785\ub2c8\ub2e4:<\/p>\n
\n- \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uce58 \ubc0f \uc784\ud3ec\ud2b8<\/li>\n
- \ub370\uc774\ud130\uc14b \uc900\ube44<\/li>\n
- Dataset \ud074\ub798\uc2a4 \uc815\uc758<\/li>\n
- DataLoader\ub97c \uc774\uc6a9\ud55c \ub370\uc774\ud130 \ub85c\ub4dc<\/li>\n
- BERT \ubaa8\ub378 \ud6c8\ub828\uacfc \uc559\uc0c1\ube14 \ud559\uc2b5<\/li>\n<\/ol>\n
5.1 \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uce58 \ubc0f \uc784\ud3ec\ud2b8<\/h3>\n
\uba3c\uc800 \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud558\uace0 \uc784\ud3ec\ud2b8\ud569\ub2c8\ub2e4. \uc544\ub798\uc640 \uac19\uc774 \uc9c4\ud589\ud569\ub2c8\ub2e4:<\/p>\n
!pip install transformers datasets torch\n<\/code><\/pre>\nimport torch\nfrom torch.utils.data import Dataset, DataLoader\nfrom transformers import BertTokenizer, BertForSequenceClassification, AdamW\nfrom datasets import load_dataset\n<\/code><\/pre>\n5.2 \ub370\uc774\ud130\uc14b \uc900\ube44<\/h3>\n
\uc774\ubc88 \uc608\uc81c\uc5d0\uc11c\ub294 datasets<\/code> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc774\uc6a9\ud558\uc5ec \uc601\ud654 \ub9ac\ubdf0 \ub370\uc774\ud130\uc14b\uc744 \uac00\uc838\uc635\ub2c8\ub2e4. \uc774 \ub370\uc774\ud130\uc14b\uc740 \uae0d\uc815\uc801\uc778 \ub9ac\ubdf0\uc640 \ubd80\uc815\uc801\uc778 \ub9ac\ubdf0\ub85c \uad6c\uc131\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\ndataset = load_dataset(\"imdb\")\ntrain_texts = dataset['train']['text']\ntrain_labels = dataset['train']['label']\n<\/code><\/pre>\n5.3 Dataset \ud074\ub798\uc2a4 \uc815\uc758<\/h3>\n
\uc6b0\ub9ac\ub294 BERT \ubaa8\ub378\uc5d0 \uc785\ub825\ud558\uae30 \uc704\ud55c \ub370\uc774\ud130\uc758 \uc804\ucc98\ub9ac\ub97c \uc218\ud589\ud558\ub294 Dataset<\/code> \ud074\ub798\uc2a4\ub97c \uc815\uc758\ud569\ub2c8\ub2e4:<\/p>\nclass IMDBDataset(Dataset):\n def __init__(self, texts, labels, tokenizer, max_length):\n self.texts = texts\n self.labels = labels\n self.tokenizer = tokenizer\n self.max_length = max_length\n\n def __len__(self):\n return len(self.texts)\n\n def __getitem__(self, index):\n text = self.texts[index]\n label = self.labels[index]\n encoding = self.tokenizer.encode_plus(\n text,\n truncation=True,\n max_length=self.max_length,\n padding='max_length',\n return_tensors='pt',\n )\n return {\n 'input_ids': encoding['input_ids'].flatten(),\n 'attention_mask': encoding['attention_mask'].flatten(),\n 'labels': torch.tensor(label, dtype=torch.long)\n }\n<\/code><\/pre>\n5.4 DataLoader\ub97c \uc774\uc6a9\ud55c \ub370\uc774\ud130 \ub85c\ub4dc<\/h3>\n
\uc774\uc81c \uc55e\uc11c \uc815\uc758\ud55c IMDBDataset<\/code> \ud074\ub798\uc2a4\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130\ub85c\ub354\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4:<\/p>\ntokenizer = BertTokenizer.from_pretrained('bert-base-uncased')\nmax_length = 256\ntrain_dataset = IMDBDataset(train_texts, train_labels, tokenizer, max_length)\n\ntrain_loader = DataLoader(train_dataset, batch_size=16, shuffle=True)\n<\/code><\/pre>\n5.5 BERT \ubaa8\ub378 \ud6c8\ub828\uacfc \uc559\uc0c1\ube14 \ud559\uc2b5<\/h3>\n
\uc774\uc81c BERT \ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0a4\uace0 \uc559\uc0c1\ube14\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc6b0\uc120 BERT \ubaa8\ub378\uc744 \ub85c\ub4dc\ud558\uace0 \uc635\ud2f0\ub9c8\uc774\uc800\ub97c \uc124\uc815\ud569\ub2c8\ub2e4:<\/p>\n
model = BertForSequenceClassification.from_pretrained('bert-base-uncased', num_labels=2)\noptimizer = AdamW(model.parameters(), lr=2e-5)\n<\/code><\/pre>\n\ud6c8\ub828 \uacfc\uc815\uc5d0\uc11c\ub294 \uc5ec\ub7ec epoch \ub3d9\uc548 \uc5ec\ub7ec \ubc30\uce58\ub85c\ubd80\ud130 \ud559\uc2b5\uc744 \uc9c4\ud589\ud569\ub2c8\ub2e4:<\/p>\n
model.train()\nfor epoch in range(3): # \uc5ec\ub7ec epoch \ub3d9\uc548 \ud6c8\ub828\n for batch in train_loader:\n input_ids = batch['input_ids']\n attention_mask = batch['attention_mask']\n labels = batch['labels']\n\n optimizer.zero_grad()\n outputs = model(input_ids, attention_mask=attention_mask, labels=labels)\n loss = outputs.loss\n loss.backward()\n optimizer.step()\n\n print(f\"Epoch: {epoch}, Loss: {loss.item()}\")\n<\/code><\/pre>\n\uc559\uc0c1\ube14 \ud559\uc2b5\uc744 \uad6c\ud604\ud558\uae30 \uc704\ud574 \uc5ec\ub7ec \uac1c\uc758 BERT \ubaa8\ub378\uc744 \ud6c8\ub828\ud558\uace0 \uac01 \ubaa8\ub378\uc758 \uc608\uce21\uc744 \ud3c9\uade0\ub0b4\ub294 \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \uc131\ub2a5\uc744 \ubcf4\uac15\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
# \uc5ec\ub7ec \ubaa8\ub378 \ud6c8\ub828\nnum_models = 5\nmodels = [BertForSequenceClassification.from_pretrained('bert-base-uncased', num_labels=2) for _ in range(num_models)]\n# \uac01 \ubaa8\ub378 \ud6c8\ub828 (\uc704 \ud6c8\ub828\uacfc\uc815 \ubc18\ubcf5)\n# \uc559\uc0c1\ube14 \uc608\uce21\npredictions = []\n\nfor model in models:\n model.eval()\n for batch in train_loader:\n input_ids = batch['input_ids']\n attention_mask = batch['attention_mask']\n\n with torch.no_grad():\n outputs = model(input_ids, attention_mask=attention_mask)\n logits = outputs.logits\n predictions.append(logits.argmax(dim=1).cpu().numpy())\n\n# \uc608\uce21 \ud3c9\uade0\nensemble_prediction = np.mean(predictions, axis=0)\n<\/code><\/pre>\n6. \ub9c8\uce58\uba70<\/h2>\n
\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec BERT \ubaa8\ub378\uc744 \uc559\uc0c1\ube14 \ud559\uc2b5\ud558\uae30 \uc704\ud55c DataLoader \uad6c\ud604 \ubc29\ubc95\uc744 \uc0b4\ud3b4\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \ub370\uc774\ud130 \ub85c\ub529\uc758 \ud6a8\uc728\uc131\uc744 \ub192\uc774\uace0 \ub2e4\uc591\ud55c \ubaa8\ub378\uc744 \ud559\uc2b5\ud558\uc5ec \uc131\ub2a5\uc744 \uadf9\ub300\ud654\ud558\ub294 \ubc29\ubc95\uc744 \uc774\ud574\ud558\ub294 \uac83\uc774 \uc911\uc694\ud569\ub2c8\ub2e4. BERT\uc640 \uac19\uc740 \uac15\ub825\ud55c \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\ub294 \uc559\uc0c1\ube14 \uae30\ubc95\uc774 NLP \uc791\uc5c5\uc5d0\uc11c \uc5bc\ub9c8\ub098 \ud6a8\uacfc\uc801\uc778\uc9c0 \uccb4\ud5d8\ud574\ubcf4\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n
\uc774 \uac15\uc88c\ub97c \ud1b5\ud574 \uc5ec\ub7ec\ubd84\uc774 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c BERT\ub97c \ud65c\uc6a9\ud558\ub294 \ub370 \ud544\uc694\ud55c \uae30\ucd08 \uc9c0\uc2dd\ubfd0\ub9cc \uc544\ub2c8\ub77c \uc2e4\uc9c8\uc801\uc778 \uc608\uc81c \ucf54\ub4dc\ub97c \uc5bb\uc73c\uc168\uae38 \ubc14\ub78d\ub2c8\ub2e4. \uacc4\uc18d\ud574\uc11c \ub525\ub7ec\ub2dd\uc744 \uacf5\ubd80\ud558\uace0 \uc2e4\ud5d8\ud558\uc5ec \ucd5c\uace0\uc758 \uc131\ub2a5\uc744 \ub0b4\ub294 \ubaa8\ub378\uc744 \uac1c\ubc1c\ud574 \ubcf4\uc138\uc694!<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub525\ub7ec\ub2dd\uc758 \ubc1c\uc804\uc5d0 \ub530\ub77c \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP) \ubd84\uc57c\uc5d0\uc11c\ub3c4 \ud601\uc2e0\uc801\uc778 \ubaa8\ub378\ub4e4\uc774 \ub4f1\uc7a5\ud588\uc2b5\ub2c8\ub2e4. \uadf8\uc911 \ud558\ub098\uac00 \ubc14\ub85c BERT(Bidirectional Encoder Representations from Transformers)\uc785\ub2c8\ub2e4. BERT\ub294 \uc591\ubc29\ud5a5 \ub9e5\ub77d\uc744 \uc774\ud574\ud558\uc5ec \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc791\uc5c5\uc5d0\uc11c \ub300\ub2e8\ud55c \uc131\ub2a5\uc744 \ubc1c\ud718\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ubc88 \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 BERT\ub97c \uc774\uc6a9\ud55c \uc559\uc0c1\ube14 \ud559\uc2b5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ub370\uc774\ud130 \ub85c\ub529(Data Loading) \ubd80\ubd84\uc5d0 \uc911\uc810\uc744 \ub450\uc5b4 \ub2e4\uc591\ud55c \ub370\uc774\ud130\uc14b\uc744 \uc2e0\uc18d\ud558\uac8c \ucc98\ub9ac\ud560 \uc218 \uc788\ub294 … \ub354 \ubcf4\uae30 “\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BERT \uc559\uc0c1\ube14 \ud559\uc2b5 – DataLoader”<\/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-29548","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, BERT \uc559\uc0c1\ube14 \ud559\uc2b5 - DataLoader - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/29548\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BERT \uc559\uc0c1\ube14 \ud559\uc2b5 - DataLoader - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\ub525\ub7ec\ub2dd\uc758 \ubc1c\uc804\uc5d0 \ub530\ub77c \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP) \ubd84\uc57c\uc5d0\uc11c\ub3c4 \ud601\uc2e0\uc801\uc778 \ubaa8\ub378\ub4e4\uc774 \ub4f1\uc7a5\ud588\uc2b5\ub2c8\ub2e4. \uadf8\uc911 \ud558\ub098\uac00 \ubc14\ub85c BERT(Bidirectional Encoder Representations from Transformers)\uc785\ub2c8\ub2e4. BERT\ub294 \uc591\ubc29\ud5a5 \ub9e5\ub77d\uc744 \uc774\ud574\ud558\uc5ec \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc791\uc5c5\uc5d0\uc11c \ub300\ub2e8\ud55c \uc131\ub2a5\uc744 \ubc1c\ud718\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ubc88 \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 BERT\ub97c \uc774\uc6a9\ud55c \uc559\uc0c1\ube14 \ud559\uc2b5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ub370\uc774\ud130 \ub85c\ub529(Data Loading) \ubd80\ubd84\uc5d0 \uc911\uc810\uc744 \ub450\uc5b4 \ub2e4\uc591\ud55c \ub370\uc774\ud130\uc14b\uc744 \uc2e0\uc18d\ud558\uac8c \ucc98\ub9ac\ud560 \uc218 \uc788\ub294 … \ub354 \ubcf4\uae30 "\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BERT \uc559\uc0c1\ube14 \ud559\uc2b5 – DataLoader"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/29548\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-28T01:55:23+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:52:20+00:00\" \/>\n<meta name=\"author\" content=\"root\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:site\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:label1\" content=\"\uae00\uc4f4\uc774\" \/>\n\t<meta name=\"twitter:data1\" content=\"root\" \/>\n\t<meta name=\"twitter:label2\" content=\"\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04\" \/>\n\t<meta name=\"twitter:data2\" content=\"2\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/29548\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29548\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BERT \uc559\uc0c1\ube14 \ud559\uc2b5 – DataLoader\",\"datePublished\":\"2024-10-28T01:55:23+00:00\",\"dateModified\":\"2024-11-26T06:52:20+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29548\/\"},\"wordCount\":54,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud65c\uc6a9\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/29548\/\",\"url\":\"https:\/\/atmokpo.com\/w\/29548\/\",\"name\":\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BERT \uc559\uc0c1\ube14 \ud559\uc2b5 - DataLoader - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#website\"},\"datePublished\":\"2024-10-28T01:55:23+00:00\",\"dateModified\":\"2024-11-26T06:52:20+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29548\/#breadcrumb\"},\"inLanguage\":\"ko-KR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/atmokpo.com\/w\/29548\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/atmokpo.com\/w\/29548\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\ud648\",\"item\":\"https:\/\/atmokpo.com\/w\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BERT \uc559\uc0c1\ube14 \ud559\uc2b5 – DataLoader\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/atmokpo.com\/w\/#website\",\"url\":\"https:\/\/atmokpo.com\/w\/\",\"name\":\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/atmokpo.com\/w\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"ko-KR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\",\"name\":\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\",\"url\":\"https:\/\/atmokpo.com\/w\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ko-KR\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png\",\"contentUrl\":\"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png\",\"width\":400,\"height\":400,\"caption\":\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\"},\"image\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/x.com\/bebubo4\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\",\"name\":\"root\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ko-KR\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g\",\"caption\":\"root\"},\"sameAs\":[\"http:\/\/atmokpo.com\/w\"],\"url\":\"https:\/\/atmokpo.com\/w\/author\/root\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BERT \uc559\uc0c1\ube14 \ud559\uc2b5 - DataLoader - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/atmokpo.com\/w\/29548\/","og_locale":"ko_KR","og_type":"article","og_title":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BERT \uc559\uc0c1\ube14 \ud559\uc2b5 - DataLoader - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","og_description":"\ub525\ub7ec\ub2dd\uc758 \ubc1c\uc804\uc5d0 \ub530\ub77c \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP) \ubd84\uc57c\uc5d0\uc11c\ub3c4 \ud601\uc2e0\uc801\uc778 \ubaa8\ub378\ub4e4\uc774 \ub4f1\uc7a5\ud588\uc2b5\ub2c8\ub2e4. \uadf8\uc911 \ud558\ub098\uac00 \ubc14\ub85c BERT(Bidirectional Encoder Representations from Transformers)\uc785\ub2c8\ub2e4. BERT\ub294 \uc591\ubc29\ud5a5 \ub9e5\ub77d\uc744 \uc774\ud574\ud558\uc5ec \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc791\uc5c5\uc5d0\uc11c \ub300\ub2e8\ud55c \uc131\ub2a5\uc744 \ubc1c\ud718\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ubc88 \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 BERT\ub97c \uc774\uc6a9\ud55c \uc559\uc0c1\ube14 \ud559\uc2b5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ub370\uc774\ud130 \ub85c\ub529(Data Loading) \ubd80\ubd84\uc5d0 \uc911\uc810\uc744 \ub450\uc5b4 \ub2e4\uc591\ud55c \ub370\uc774\ud130\uc14b\uc744 \uc2e0\uc18d\ud558\uac8c \ucc98\ub9ac\ud560 \uc218 \uc788\ub294 … \ub354 \ubcf4\uae30 \"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BERT \uc559\uc0c1\ube14 \ud559\uc2b5 – DataLoader\"","og_url":"https:\/\/atmokpo.com\/w\/29548\/","og_site_name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","article_published_time":"2024-10-28T01:55:23+00:00","article_modified_time":"2024-11-26T06:52:20+00:00","author":"root","twitter_card":"summary_large_image","twitter_creator":"@bebubo4","twitter_site":"@bebubo4","twitter_misc":{"\uae00\uc4f4\uc774":"root","\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04":"2\ubd84"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/atmokpo.com\/w\/29548\/#article","isPartOf":{"@id":"https:\/\/atmokpo.com\/w\/29548\/"},"author":{"name":"root","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7"},"headline":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BERT \uc559\uc0c1\ube14 \ud559\uc2b5 – DataLoader","datePublished":"2024-10-28T01:55:23+00:00","dateModified":"2024-11-26T06:52:20+00:00","mainEntityOfPage":{"@id":"https:\/\/atmokpo.com\/w\/29548\/"},"wordCount":54,"publisher":{"@id":"https:\/\/atmokpo.com\/w\/#organization"},"articleSection":["\ud5c8\uae45\ud398\uc774\uc2a4 \ud65c\uc6a9"],"inLanguage":"ko-KR"},{"@type":"WebPage","@id":"https:\/\/atmokpo.com\/w\/29548\/","url":"https:\/\/atmokpo.com\/w\/29548\/","name":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BERT \uc559\uc0c1\ube14 \ud559\uc2b5 - DataLoader - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","isPartOf":{"@id":"https:\/\/atmokpo.com\/w\/#website"},"datePublished":"2024-10-28T01:55:23+00:00","dateModified":"2024-11-26T06:52:20+00:00","breadcrumb":{"@id":"https:\/\/atmokpo.com\/w\/29548\/#breadcrumb"},"inLanguage":"ko-KR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/atmokpo.com\/w\/29548\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/atmokpo.com\/w\/29548\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\ud648","item":"https:\/\/atmokpo.com\/w\/en\/"},{"@type":"ListItem","position":2,"name":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BERT \uc559\uc0c1\ube14 \ud559\uc2b5 – DataLoader"}]},{"@type":"WebSite","@id":"https:\/\/atmokpo.com\/w\/#website","url":"https:\/\/atmokpo.com\/w\/","name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","description":"","publisher":{"@id":"https:\/\/atmokpo.com\/w\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/atmokpo.com\/w\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"ko-KR"},{"@type":"Organization","@id":"https:\/\/atmokpo.com\/w\/#organization","name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","url":"https:\/\/atmokpo.com\/w\/","logo":{"@type":"ImageObject","inLanguage":"ko-KR","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/","url":"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png","contentUrl":"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png","width":400,"height":400,"caption":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8"},"image":{"@id":"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/bebubo4"]},{"@type":"Person","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7","name":"root","image":{"@type":"ImageObject","inLanguage":"ko-KR","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g","caption":"root"},"sameAs":["http:\/\/atmokpo.com\/w"],"url":"https:\/\/atmokpo.com\/w\/author\/root\/"}]}},"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/29548","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/comments?post=29548"}],"version-history":[{"count":1,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/29548\/revisions"}],"predecessor-version":[{"id":29549,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/29548\/revisions\/29549"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=29548"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=29548"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=29548"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}