{"id":29534,"date":"2024-10-28T01:55:19","date_gmt":"2024-10-28T01:55:19","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=29534"},"modified":"2024-11-26T06:52:23","modified_gmt":"2024-11-26T06:52:23","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-bert-%eb%a1%9c%eb%94%a9-mlm-%ed%8c%8c%ec%9d%b4%ed%94%84%eb%9d%bc","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/29534\/","title":{"rendered":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BERT \ub85c\ub529 MLM \ud30c\uc774\ud504\ub77c\uc778"},"content":{"rendered":"

<\/p>\n

\n \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uc778\uacf5\uc9c0\ub2a5 \ubd84\uc57c\uc5d0\uc11c \ub9e4\uc6b0 \uc911\uc694\ud55c \uc791\uc5c5 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \uc5ec\ub7ec \uac00\uc9c0 \ubaa8\ub378\ub4e4\uc774 \uc788\uc9c0\ub9cc,
\n \uadf8 \uc911\uc5d0\uc11c\ub3c4 BERT(Bidirectional Encoder Representations from Transformers)\ub294 \ud2b9\ud788 \uadf8 \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc73c\ub85c
\n \uc8fc\ubaa9\ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec BERT \ubaa8\ub378\uc744 \ub85c\ub529\ud558\uace0
\n \ub9c8\uc2a4\ud06c \uc5b8\uc5b4 \ubaa8\ub378(Masked Language Model, MLM) \ud30c\uc774\ud504\ub77c\uc778\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4.\n<\/p>\n

1. \uc18c\uac1c<\/h2>\n

\n BERT\ub294 \uad6c\uae00\uc5d0 \uc758\ud574 \uac1c\ubc1c\ub41c \ubaa8\ub378\ub85c, \ubb38\ub9e5\uc5d0\uc11c \ub2e8\uc5b4\uc758 \uc758\ubbf8\ub97c \uc774\ud574\ud558\uace0 \uc608\uce21\ud558\ub294 \ub370 \uac15\ub825\ud55c \ub2a5\ub825\uc744
\n \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. BERT\uc758 \uac00\uc7a5 \ud070 \ud2b9\uc9d5 \uc911 \ud558\ub098\ub294 \ub450 \uac00\uc9c0 \ubc29\ud5a5\uc73c\ub85c \uc815\ubcf4\ub97c \uc218\uc9d1\ud560 \uc218 \uc788\ub2e4\ub294 \uac83\uc785\ub2c8\ub2e4.
\n \uc989, \uc785\ub825 \ub2e8\uc5b4\uac00 \ubb38\uc7a5\uc758 \uc67c\ucabd\uacfc \uc624\ub978\ucabd \ubaa8\ub450\uc758 \ub2e8\uc5b4\uc5d0 \uc758\uc874\ud558\uac8c \ud568\uc73c\ub85c\uc368 \ub354 \uae4a\uc740 \uc758\ubbf8\ub97c \ud30c\uc545\ud569\ub2c8\ub2e4.\n<\/p>\n

2. \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac<\/h2>\n

\n \ud5c8\uae45\ud398\uc774\uc2a4\ub294 \uc5ec\ub7ec \uac00\uc9c0 \ucd5c\uc2e0 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubaa8\ub378\uc744 \uc27d\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub3c4\ub85d \ub9cc\ub4e4\uc5b4\uc9c4 \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4.
\n \uc6b0\ub9ac\ub294 \uba3c\uc800 \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4.\n<\/p>\n

pip install transformers<\/code><\/pre>\n
3. BERT \ub85c\ub529<\/h2>\n
\n    \uc774\uc81c BERT \ubaa8\ub378\uc744 \ub85c\ub529\ud558\uace0 \ub9c8\uc2a4\ud06c \uc5b8\uc5b4 \ubaa8\ub378 \uc791\uc5c5\uc744 \uc218\ud589\ud558\uae30 \uc704\ud574 \ud544\uc694\ud55c \uc124\uc815\uc744 \ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n<\/p>\n
3.1. BERT \ubaa8\ub378 \ubc0f \ud1a0\ud06c\ub098\uc774\uc800 \ub85c\ub529<\/h3>\n
from transformers import BertTokenizer, BertForMaskedLM\n\n# \ud1a0\ud06c\ub098\uc774\uc800\uc640 \ubaa8\ub378 \ub85c\ub529\ntokenizer = BertTokenizer.from_pretrained(\"bert-base-uncased\")\nmodel = BertForMaskedLM.from_pretrained(\"bert-base-uncased\")<\/code><\/pre>\n
3.2. \uc785\ub825 \ub370\uc774\ud130 \uc900\ube44<\/h3>\n
\n    BERT \ubaa8\ub378\uc740 \uc785\ub825 \ubb38\uc7a5\uc5d0\uc11c \ud2b9\uc815 \ub2e8\uc5b4\ub97c \ub9c8\uc2a4\ud0b9\ud558\uc5ec \uadf8 \ub2e8\uc5b4\ub97c \uc608\uce21\ud558\ub294 \ubc29\uc2dd\uc73c\ub85c \ud559\uc2b5\ub429\ub2c8\ub2e4.
\n    \uc5ec\uae30\uc11c\ub294 \uc785\ub825 \ubb38\uc7a5\uc744 \uc815\uc758\ud558\uace0, \uc77c\ubd80 \ub2e8\uc5b4\ub97c \ub9c8\uc2a4\ud0b9\ud55c \ud6c4 \uadf8\uac83\uc744 \uc785\ub825\uc73c\ub85c \uc0ac\uc6a9\ud558\uc5ec \uacb0\uacfc\ub97c
\n    \uc608\uce21\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n<\/p>\n
import torch\n\n# \uc785\ub825 \ubb38\uc7a5 \uc815\uc758\ninput_text = \"The capital of France is [MASK].\"\ninput_ids = tokenizer.encode(input_text, return_tensors=\"pt\")<\/code><\/pre>\n
4. \ub9c8\uc2a4\ud06c \uc5b8\uc5b4 \ubaa8\ub378 \uc608\uce21<\/h2>\n
\n    \uc774\uc81c \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub9c8\uc2a4\ud0b9\ub41c \ub2e8\uc5b4\ub97c \uc608\uce21\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.
\n    \ubaa8\ub378\uc758 \ucd9c\ub825\uc740 \uc5ec\ub7ec \ud1a0\ud070\uc5d0 \ub300\ud55c \ud655\ub960 \ubd84\ud3ec\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.
\n    \uc6b0\ub9ac\ub294 \uac00\uc7a5 \ub192\uc740 \ud655\ub960\uc744 \uac00\uc9c4 \ud1a0\ud070\uc744 \uc120\ud0dd\ud558\uc5ec \uc6d0\ub798 \ubb38\uc7a5\uc744 \uc644\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n
# \ubaa8\ub378 \uc608\uce21 \uc218\ud589\nwith torch.no_grad():\n    outputs = model(input_ids)\n    predictions = outputs.logits\n\n# \ub9c8\uc2a4\ud06c\ub41c \ud1a0\ud070\uc758 ID \uc5bb\uae30\nmasked_index = torch.where(input_ids == tokenizer.mask_token_id)[1]\n\n# \uac00\uc7a5 \ub192\uc740 \ud655\ub960\uc744 \uac00\uc9c4 \ud1a0\ud070 \uc120\ud0dd\npredicted_index = predictions[0, masked_index].argmax(axis=-1)\npredicted_token = tokenizer.decode(predicted_index)\n\n# \uacb0\uacfc \ucd9c\ub825\nprint(f\"\uc608\uce21\ub41c \ub2e8\uc5b4\ub294: {predicted_token}\")  # \uc608\ub97c \ub4e4\uba74 \"Paris\"\uac00 \ub098\uc62c \uc218 \uc788\uc74c<\/code><\/pre>\n
5. \ubaa8\ub378 \uc131\ub2a5 \ud3c9\uac00<\/h2>\n
\n    BERT \ubaa8\ub378\uc740 \ub9ce\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ud0dc\uc2a4\ud06c\uc5d0\uc11c \ud6cc\ub96d\ud55c \uc131\ub2a5\uc744 \ubcf4\uc5ec \uc90d\ub2c8\ub2e4.
\n    \ud2b9\ud788 MLM \ud0dc\uc2a4\ud06c\uc5d0\uc11c\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\ub294 \uac83\ub3c4 \uc911\uc694\ud569\ub2c8\ub2e4.
\n    \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \uc815\ub7c9\uc801\uc73c\ub85c \ud3c9\uac00\ud558\ub824\uba74 \ub77c\ubca8\uacfc \uc608\uce21\ub41c \uacb0\uacfc\ub97c \ube44\uad50\ud574\uc57c \ud569\ub2c8\ub2e4.\n<\/p>\n
def evaluate_performance(predicted, actual):\n    return predicted == actual\n\n# \uc608\uc2dc\ub85c \uc62c\ubc14\ub978 \ub2e8\uc5b4 \"Paris\"\uc640 \uc608\uce21\ub41c \ub2e8\uc5b4 \ube44\uad50\nactual_token = \"Paris\"\nperformance = evaluate_performance(predicted_token, actual_token)\n\nif performance:\n    print(\"\ubaa8\ub378\uc758 \uc608\uce21\uc774 \uc815\ud655\ud569\ub2c8\ub2e4.\")\nelse:\n    print(\"\ubaa8\ub378\uc758 \uc608\uce21\uc774 \ud2c0\ub838\uc2b5\ub2c8\ub2e4.\")<\/code><\/pre>\n
6. \uacb0\ub860<\/h2>\n
\n    \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec BERT \ubaa8\ub378\uc744 \ub85c\ub529\ud558\uace0, \ub9c8\uc2a4\ud06c\ub41c \uc5b8\uc5b4 \ubaa8\ub378
\n    \ud0dc\uc2a4\ud06c\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4. BERT\ub294 \uadf8 \uc790\uccb4\ub85c\ub3c4 \uac15\ub825\ud55c \ubaa8\ub378\uc774\uc9c0\ub9cc, \ud2b9\uc815 \ub3c4\uba54\uc778\uc5d0
\n    \ub9de\uac8c \ud30c\uc778\ud29c\ub2dd\ud558\ub294 \uacfc\uc815\uc774 \ucd94\uac00\ub418\uba74 \ub354\uc6b1 \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubc1c\ud718\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n
\n    \uc774 \uae00\uc744 \ud1b5\ud574 \uc5ec\ub7ec\ubd84\uc774 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0 \ub300\ud55c \uc774\ud574\ub97c \ub192\uc774\uace0,
\n    \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud55c \ubaa8\ub378 \ud65c\uc6a9\ubc95\uc744 \uc775\ud790 \uc218 \uc788\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4.
\n    \uc55e\uc73c\ub85c \ub354 \ub9ce\uc740 \uc608\uc81c\uc640 \uc2ec\ud654 \ub0b4\uc6a9\uc744 \ub2e4\ub8f0 \uc608\uc815\uc774\ub2c8 \uacc4\uc18d\ud574\uc11c \uc8fc\ubaa9\ud574 \uc8fc\uc138\uc694!\n<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uc778\uacf5\uc9c0\ub2a5 \ubd84\uc57c\uc5d0\uc11c \ub9e4\uc6b0 \uc911\uc694\ud55c \uc791\uc5c5 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \uc5ec\ub7ec \uac00\uc9c0 \ubaa8\ub378\ub4e4\uc774 \uc788\uc9c0\ub9cc, \uadf8 \uc911\uc5d0\uc11c\ub3c4 BERT(Bidirectional Encoder Representations from Transformers)\ub294 \ud2b9\ud788 \uadf8 \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc73c\ub85c \uc8fc\ubaa9\ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec BERT \ubaa8\ub378\uc744 \ub85c\ub529\ud558\uace0 \ub9c8\uc2a4\ud06c \uc5b8\uc5b4 \ubaa8\ub378(Masked Language Model, MLM) \ud30c\uc774\ud504\ub77c\uc778\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc18c\uac1c BERT\ub294 \uad6c\uae00\uc5d0 \uc758\ud574 \uac1c\ubc1c\ub41c \ubaa8\ub378\ub85c, \ubb38\ub9e5\uc5d0\uc11c \ub2e8\uc5b4\uc758 \uc758\ubbf8\ub97c … \ub354 \ubcf4\uae30 “\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BERT \ub85c\ub529 MLM \ud30c\uc774\ud504\ub77c\uc778”<\/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-29534","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 \ub85c\ub529 MLM \ud30c\uc774\ud504\ub77c\uc778 - \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\/29534\/\" \/>\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 \ub85c\ub529 MLM \ud30c\uc774\ud504\ub77c\uc778 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uc778\uacf5\uc9c0\ub2a5 \ubd84\uc57c\uc5d0\uc11c \ub9e4\uc6b0 \uc911\uc694\ud55c \uc791\uc5c5 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \uc5ec\ub7ec \uac00\uc9c0 \ubaa8\ub378\ub4e4\uc774 \uc788\uc9c0\ub9cc, \uadf8 \uc911\uc5d0\uc11c\ub3c4 BERT(Bidirectional Encoder Representations from Transformers)\ub294 \ud2b9\ud788 \uadf8 \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc73c\ub85c \uc8fc\ubaa9\ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec BERT \ubaa8\ub378\uc744 \ub85c\ub529\ud558\uace0 \ub9c8\uc2a4\ud06c \uc5b8\uc5b4 \ubaa8\ub378(Masked Language Model, MLM) \ud30c\uc774\ud504\ub77c\uc778\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc18c\uac1c BERT\ub294 \uad6c\uae00\uc5d0 \uc758\ud574 \uac1c\ubc1c\ub41c \ubaa8\ub378\ub85c, \ubb38\ub9e5\uc5d0\uc11c \ub2e8\uc5b4\uc758 \uc758\ubbf8\ub97c … \ub354 \ubcf4\uae30 "\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BERT \ub85c\ub529 MLM \ud30c\uc774\ud504\ub77c\uc778"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/29534\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-28T01:55:19+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:52:23+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=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/29534\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29534\/\"},\"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 \ub85c\ub529 MLM \ud30c\uc774\ud504\ub77c\uc778\",\"datePublished\":\"2024-10-28T01:55:19+00:00\",\"dateModified\":\"2024-11-26T06:52:23+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29534\/\"},\"wordCount\":23,\"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\/29534\/\",\"url\":\"https:\/\/atmokpo.com\/w\/29534\/\",\"name\":\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BERT \ub85c\ub529 MLM \ud30c\uc774\ud504\ub77c\uc778 - 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