From 9eb37dd8859720ee5853595391467ebdab1090ae Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sun, 28 Sep 2025 07:39:29 +0000 Subject: [PATCH 1/8] Initial plan From d1aa1506bc9980e382902a042ae585daa0656f9e Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sun, 28 Sep 2025 07:43:18 +0000 Subject: [PATCH 2/8] =?UTF-8?q?Fix=20Korean=20grammar=20typo:=20=EB=B2=84?= =?UTF-8?q?=EC=A0=84=EC=9D=84=20=E2=86=92=20=EB=B2=84=EC=A0=84=EC=9D=B4?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: braintrue <89627517+braintrue@users.noreply.github.com> --- chapters/ko/chapter0/1.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/chapters/ko/chapter0/1.mdx b/chapters/ko/chapter0/1.mdx index 90aa72de2..541bbd5a6 100644 --- a/chapters/ko/chapter0/1.mdx +++ b/chapters/ko/chapter0/1.mdx @@ -50,7 +50,7 @@ import transformers 파이썬 가상 환경 사용을 원하신다면 먼저 파이썬을 설치해야 합니다. 이 [가이드](https://realpython.com/installing-python/)를 따라 설치를 진행하실 수 있습니다. -파이썬 설치가 완료되면 터미널에서 파이썬 명령어를 실행할 수 있습니다. 다음 단계로 넘어가기 전에, 다음과 같은 명령어를 실행하여 설치가 잘 되었는지 확인하세요: `python --version`. 이 때 시스템에 사용할 수 있는 파이썬 버전을 출력되어야 합니다. +파이썬 설치가 완료되면 터미널에서 파이썬 명령어를 실행할 수 있습니다. 다음 단계로 넘어가기 전에, 다음과 같은 명령어를 실행하여 설치가 잘 되었는지 확인하세요: `python --version`. 이 때 시스템에 사용할 수 있는 파이썬 버전이 출력되어야 합니다. 터미널에서 `python --version` 과 같은 파이썬 명령어를 실행하면, 명령어를 실행하는 프로그램을 시스템의 “메인(main)” 파이썬으로 생각해야 합니다. 이 메인 파이썬은 어떤 패키지도 설치하지 않은 상태로 유지하면서, 작업 중인 각 어플리케이션마다 별도의 환경을 생성하여 이용하는 것을 권장합니다. 이렇게 하면, 각 어플리케이션은 각각의 의존성 및 패키지를 갖게 되어 다른 어플리케이션과의 잠재적 호환성 문제를 피할 수 있습니다. From 6853239955b3710772229db9764fb5abc0ca7693 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sun, 28 Sep 2025 07:48:25 +0000 Subject: [PATCH 3/8] Initial plan From 03cf605e8dc4821913230e1f5595323b459e9bbf Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sun, 28 Sep 2025 07:55:32 +0000 Subject: [PATCH 4/8] Fix Korean course structure and notebook links Co-authored-by: braintrue <89627517+braintrue@users.noreply.github.com> --- chapters/ko/_toctree.yml | 7 ++----- chapters/ko/chapter2/2.mdx | 8 ++++---- chapters/ko/chapter2/4.mdx | 8 ++++---- chapters/ko/chapter2/5.mdx | 8 ++++---- chapters/ko/chapter2/6.mdx | 8 ++++---- chapters/ko/chapter3/2.mdx | 4 ++-- chapters/ko/chapter3/3.mdx | 4 ++-- chapters/ko/chapter3/5.mdx | 4 ++-- chapters/ko/chapter5/2.mdx | 4 ++-- chapters/ko/chapter8/2.mdx | 4 ++-- chapters/ko/chapter8/3.mdx | 4 ++-- chapters/ko/chapter8/4.mdx | 4 ++-- chapters/ko/chapter8/4_tf.mdx | 4 ++-- chapters/ko/chapter8/5.mdx | 4 ++-- 14 files changed, 36 insertions(+), 39 deletions(-) diff --git a/chapters/ko/_toctree.yml b/chapters/ko/_toctree.yml index da836b8cf..0c62d0bab 100644 --- a/chapters/ko/_toctree.yml +++ b/chapters/ko/_toctree.yml @@ -51,13 +51,10 @@ sections: - local: chapter3/2 title: 데이터 처리 - - local: chapter3/5 - title: 학습 곡선 이해하기 - -- title: 3. 🤗 사전훈련된 모델 미세조정 - sections: - local: chapter3/3 title: Trainer API를 사용한 모델 미세조정 + - local: chapter3/5 + title: 학습 곡선 이해하기 - title: 5. 🤗 Datasets 라이브러리 sections: diff --git a/chapters/ko/chapter2/2.mdx b/chapters/ko/chapter2/2.mdx index 7468ea435..00dd20e7b 100644 --- a/chapters/ko/chapter2/2.mdx +++ b/chapters/ko/chapter2/2.mdx @@ -7,8 +7,8 @@ {:else} @@ -16,8 +16,8 @@ {/if} diff --git a/chapters/ko/chapter2/4.mdx b/chapters/ko/chapter2/4.mdx index fed8fc9cf..729cbbf77 100644 --- a/chapters/ko/chapter2/4.mdx +++ b/chapters/ko/chapter2/4.mdx @@ -7,8 +7,8 @@ {:else} @@ -16,8 +16,8 @@ {/if} diff --git a/chapters/ko/chapter2/5.mdx b/chapters/ko/chapter2/5.mdx index faf950b4f..6d3dcda33 100644 --- a/chapters/ko/chapter2/5.mdx +++ b/chapters/ko/chapter2/5.mdx @@ -7,8 +7,8 @@ {:else} @@ -16,8 +16,8 @@ {/if} diff --git a/chapters/ko/chapter2/6.mdx b/chapters/ko/chapter2/6.mdx index e564a39fa..552e05c7d 100644 --- a/chapters/ko/chapter2/6.mdx +++ b/chapters/ko/chapter2/6.mdx @@ -7,8 +7,8 @@ {:else} @@ -16,8 +16,8 @@ {/if} diff --git a/chapters/ko/chapter3/2.mdx b/chapters/ko/chapter3/2.mdx index 106801824..e18436f01 100644 --- a/chapters/ko/chapter3/2.mdx +++ b/chapters/ko/chapter3/2.mdx @@ -3,8 +3,8 @@ [이전 챕터](/course/chapter2)의 예제에 이어서, 한 배치에서 시퀀스 분류기를 훈련하는 방법은 다음과 같습니다. diff --git a/chapters/ko/chapter3/3.mdx b/chapters/ko/chapter3/3.mdx index 4f1b830f3..4e0b08bc8 100644 --- a/chapters/ko/chapter3/3.mdx +++ b/chapters/ko/chapter3/3.mdx @@ -5,8 +5,8 @@ diff --git a/chapters/ko/chapter3/5.mdx b/chapters/ko/chapter3/5.mdx index e0624b3d4..ea61a5e2f 100644 --- a/chapters/ko/chapter3/5.mdx +++ b/chapters/ko/chapter3/5.mdx @@ -3,8 +3,8 @@ 이제 `Trainer` API와 사용자 정의 훈련 루프를 모두 사용하여 미세 조정을 구현하는 방법을 배웠으므로, 결과를 해석하는 방법을 이해하는 것이 중요합니다. 학습 곡선은 훈련 중 모델의 성능을 평가하고 성능 저하를 일으킬 수 있는 잠재적 문제를 미리 식별하는 데 도움이 되는 매우 유용한 도구입니다. diff --git a/chapters/ko/chapter5/2.mdx b/chapters/ko/chapter5/2.mdx index 67ccff72a..39da07a86 100644 --- a/chapters/ko/chapter5/2.mdx +++ b/chapters/ko/chapter5/2.mdx @@ -3,8 +3,8 @@ [Hugging Face Hub](https://huggingface.co/datasets)를 통해 데이터셋을 다운로드하는 방법은 배웠지만, Hub가 아닌 로컬 환경이나 원격 서버에 저장된 데이터로 작업해야하는 경우도 많이 있을 것입니다. 이번 섹션에서는 🤗 Datasets를 이용하여 Hugging Face Hub에 없는 데이터셋을 로딩하는 방법을 알려드리도록 하겠습니다. diff --git a/chapters/ko/chapter8/2.mdx b/chapters/ko/chapter8/2.mdx index 1970013e5..644833d7f 100644 --- a/chapters/ko/chapter8/2.mdx +++ b/chapters/ko/chapter8/2.mdx @@ -3,8 +3,8 @@ 이번 장에서는 Transformer 모델을 새롭게 튜닝 후 예측을 하려고 할 때 발생할 수 있는 몇가지 일반적인 에러를 살펴보겠습니다. diff --git a/chapters/ko/chapter8/3.mdx b/chapters/ko/chapter8/3.mdx index a5185455a..ce533eccc 100644 --- a/chapters/ko/chapter8/3.mdx +++ b/chapters/ko/chapter8/3.mdx @@ -3,8 +3,8 @@ diff --git a/chapters/ko/chapter8/4.mdx b/chapters/ko/chapter8/4.mdx index ee408de5b..c7c9a3003 100644 --- a/chapters/ko/chapter8/4.mdx +++ b/chapters/ko/chapter8/4.mdx @@ -5,8 +5,8 @@ [단원 7](/course/chapter7)의 조언을 충실히 따라 주어진 작업에서 모델을 학습하거나 파인튜닝 하는 아름다운 스크립트를 작성했습니다. 하지만 `trainer.train()` 명령을 실행하면 끔찍한 일이 발생합니다. 에러가 발생합니다 😱! 또는 더 나쁜 것은 모든 것이 정상인 것처럼 보이고 학습이 에러 없이 실행되지만 결과 모델은 엉망입니다. 이 섹션에서는 이러한 종류의 문제를 디버그하기 위해 수행할 수 있는 것들을 보여줍니다. diff --git a/chapters/ko/chapter8/4_tf.mdx b/chapters/ko/chapter8/4_tf.mdx index 5640c6aba..fd851270e 100644 --- a/chapters/ko/chapter8/4_tf.mdx +++ b/chapters/ko/chapter8/4_tf.mdx @@ -5,8 +5,8 @@ [단원 7](/course/chapter7)의 조언에 충실히 따라 주어진 작업에서 모델을 훈련하거나 파인튜닝하는 멋진 스크립트를 작성했습니다. 하지만 `model.fit()` 명령을 실행하면 끔찍한 일이 발생합니다. 오류가 발생했네요 😱! 또는 더 좋지 못한 일은 모든 것이 정상인 것처럼 보이고 훈련은 오류 없이 실행되었지만 결과 모델이 엉망인 경우입니다. 이 장에서는 이러한 종류의 이슈를 디버그하기 위해 수행할 수 있는 작업을 보여줍니다. diff --git a/chapters/ko/chapter8/5.mdx b/chapters/ko/chapter8/5.mdx index 229cb67da..cb78acfea 100644 --- a/chapters/ko/chapter8/5.mdx +++ b/chapters/ko/chapter8/5.mdx @@ -3,8 +3,8 @@ Hugging Face 라이브러리 중에서 이상한 것을 발견하면 고칠 수 있도록 반드시 알려주셔야 합니다(해당 문제에 대해서는 모든 오픈 소스 라이브러리가 동일). 버그가 자신의 코드에 있는지 또는 라이브러리에 있는지 확실하지 않은 경우 가장 먼저 [포럼](https://discuss.huggingface.co/)에서 확인하세요. 커뮤니티에서 이를 파악하는 데 도움을 줄 것이며 Hugging Face 팀도 그곳에서 토론을 면밀히 관찰합니다. From 1b4f57ece7586a59ccda6b61ad97c3452a34a956 Mon Sep 17 00:00:00 2001 From: Changseop Yeom <89627517+braintrue@users.noreply.github.com> Date: Sun, 28 Sep 2025 17:32:39 +0900 Subject: [PATCH 5/8] Created using Colab --- course/ko/chapter1/section3.ipynb | 6743 +++++++++++++++++++++++++++++ 1 file changed, 6743 insertions(+) create mode 100644 course/ko/chapter1/section3.ipynb diff --git a/course/ko/chapter1/section3.ipynb b/course/ko/chapter1/section3.ipynb new file mode 100644 index 000000000..ba29857c2 --- /dev/null +++ b/course/ko/chapter1/section3.ipynb @@ -0,0 +1,6743 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ckIo8Tl5Ycam" + }, + "source": [ + "# 트랜스포머로 무엇을 할 수 있나요?" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ey2Bp0JvYcan" + }, + "source": [ + "Install the Transformers, Datasets, and Evaluate libraries to run this notebook." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "id": "EgLAiKy0Ycan", + "outputId": "8163557d-48d5-426c-f551-42184725ddef", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: datasets in /usr/local/lib/python3.12/dist-packages (4.0.0)\n", + "Collecting evaluate\n", + " Downloading evaluate-0.4.6-py3-none-any.whl.metadata (9.5 kB)\n", + "Requirement already satisfied: transformers[sentencepiece] in /usr/local/lib/python3.12/dist-packages (4.56.1)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from datasets) (3.19.1)\n", + "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.12/dist-packages (from datasets) (2.0.2)\n", + "Requirement already satisfied: pyarrow>=15.0.0 in /usr/local/lib/python3.12/dist-packages (from datasets) (18.1.0)\n", + 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+ "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (1.7.0)\n", + "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (6.6.4)\n", + "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (0.3.2)\n", + "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (1.20.1)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.8.2->pandas->datasets) (1.17.0)\n", + "Downloading evaluate-0.4.6-py3-none-any.whl (84 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m84.1/84.1 kB\u001b[0m \u001b[31m2.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hInstalling collected packages: evaluate\n", + "Successfully installed evaluate-0.4.6\n" + ] + } + ], + "source": [ + "!pip install datasets evaluate transformers[sentencepiece]" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "id": "MwkgrzfHYcao", + "outputId": "e5c75315-8f15-4aa6-8e55-cb6211ab980f", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 344, + "referenced_widgets": [ + "3b3d0ba79efe4f4db8975bf57c856ea4", + "f50efa7264ae483485a0009ebdc8c770", + "59cdc552e8b84792820479727246b08a", + "f1f4c158881e4b3ea749a684eff0660a", + "b67cb696004f4a3ba33a1e2d62a71eb7", + "71b43ec270ff46f987762aeb432f7034", + "5de2998c0c4940c28496cc42c5db1506", + "ddb9cb2a1ffc44e5bb7ad239afa9ef70", + "70edef4750e44725aa6d423d6fdbe611", + "513e044b454f483e908261230d327027", + 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"d40fdb9239de41b9af58146afafd29f6", + "bb9e8cf3fa174c2d97d97ab80ce77e2f", + "1cd91d68c4884daf926de9b89455c1a6", + "3cab15fa19484ac6942d072d6033ef15", + "fd7126fc80d5434e97d30ff7b1db9a6b", + "50b6d0dce4994eeda6d6c6e20ca755c1", + "654e9cd33a8f491d8da035ee96bc8815", + "2256da0d57e94dc9904ab99dc1a48d6b" + ] + } + }, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "No model was supplied, defaulted to distilbert/distilbert-base-uncased-finetuned-sst-2-english and revision 714eb0f (https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english).\n", + "Using a pipeline without specifying a model name and revision in production is not recommended.\n", + "/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n", + "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", + "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", + "You will be able to reuse this secret in all of your notebooks.\n", + "Please note that authentication is recommended but still optional to access public models or datasets.\n", + " warnings.warn(\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "config.json: 0%| | 0.00/629 [00:00 models.\", top_k=2)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "8uHcJZvxYcar", + "outputId": "6e5c86dd-3e28-467e-baad-000adb9e2748" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'entity_group': 'PER', 'score': 0.99816, 'word': 'Sylvain', 'start': 11, 'end': 18},\n", + " {'entity_group': 'ORG', 'score': 0.97960, 'word': 'Hugging Face', 'start': 33, 'end': 45},\n", + " {'entity_group': 'LOC', 'score': 0.99321, 'word': 'Brooklyn', 'start': 49, 'end': 57}\n", + "]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from transformers import pipeline\n", + "\n", + "ner = pipeline(\"ner\", grouped_entities=True)\n", + "ner(\"My name is Sylvain and I work at Hugging Face in Brooklyn.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "bN6k5WZzYcar", + "outputId": "a7fa5b73-2d98-43e4-eb97-bd28904bb074" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'score': 0.6385916471481323, 'start': 33, 'end': 45, 'answer': 'Hugging Face'}" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from transformers import pipeline\n", + "\n", + "question_answerer = pipeline(\"question-answering\")\n", + "question_answerer(\n", + " question=\"Where do I work?\",\n", + " context=\"My name is Sylvain and I work at Hugging Face in Brooklyn\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "iJIIe820Ycar", + "outputId": "b2d2ee24-795f-4979-b60c-90ef42f42cda" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'summary_text': ' America has changed dramatically during recent years . The '\n", + " 'number of engineering graduates in the U.S. has declined in '\n", + " 'traditional engineering disciplines such as mechanical, civil '\n", + " ', electrical, chemical, and aeronautical engineering . Rapidly '\n", + " 'developing economies such as China and India, as well as other '\n", + " 'industrial countries in Europe and Asia, continue to encourage '\n", + " 'and advance engineering .'}]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from transformers import pipeline\n", + "\n", + "summarizer = pipeline(\"summarization\")\n", + "summarizer(\n", + " \"\"\"\n", + " America has changed dramatically during recent years. Not only has the number of\n", + " graduates in traditional engineering disciplines such as mechanical, civil,\n", + " electrical, chemical, and aeronautical engineering declined, but in most of\n", + " the premier American universities engineering curricula now concentrate on\n", + " and encourage largely the study of engineering science. As a result, there\n", + " are declining offerings in engineering subjects dealing with infrastructure,\n", + " the environment, and related issues, and greater concentration on high\n", + " technology subjects, largely supporting increasingly complex scientific\n", + " developments. While the latter is important, it should not be at the expense\n", + " of more traditional engineering.\n", + "\n", + " Rapidly developing economies such as China and India, as well as other\n", + " industrial countries in Europe and Asia, continue to encourage and advance\n", + " the teaching of engineering. Both China and India, respectively, graduate\n", + " six and eight times as many traditional engineers as does the United States.\n", + " Other industrial countries at minimum maintain their output, while America\n", + " suffers an increasingly serious decline in the number of engineering graduates\n", + " and a lack of well-educated engineers.\n", + "\"\"\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "RRzrWXTqYcas", + "outputId": "4461a98b-9883-4df8-e591-c9a4b1015feb" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'translation_text': 'This course is produced by Hugging Face.'}]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from transformers import pipeline\n", + "\n", + "translator = pipeline(\"translation\", model=\"Helsinki-NLP/opus-mt-fr-en\")\n", + "translator(\"Ce cours est produit par Hugging Face.\")" + ] + } + ], + "metadata": { + "colab": { + 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} } } diff --git a/utils/generate_notebooks.py b/utils/generate_notebooks.py index 9a439e7dd..37dab9ac7 100644 --- a/utils/generate_notebooks.py +++ b/utils/generate_notebooks.py @@ -250,7 +250,14 @@ def build_notebook(fname, title, output_dir="."): ] ) nb_cells += [convert_to_nb_cell(cell) for cell in cells] - metadata = {"colab": {"name": title, "provenance": []}} + metadata = { + "colab": {"name": title, "provenance": []}, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "state": {} + } + } + } nb_dict = { "cells": nb_cells, "metadata": metadata, From 53d0282f90ce030f49c17d49d85ffffc203b5fff Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sun, 28 Sep 2025 08:39:58 +0000 Subject: [PATCH 8/8] Initial plan