From 12858e93e61cb4b09c12bc11c7e6a01999d3097a Mon Sep 17 00:00:00 2001 From: Mikhail Nefedov Date: Thu, 27 Jun 2024 16:29:09 +0200 Subject: [PATCH] add exam 24 --- .../exam_prep/EXAM_practical_part_24.ipynb | 13333 ++++++++++++++++ 1 file changed, 13333 insertions(+) create mode 100644 notebooks/exam_prep/EXAM_practical_part_24.ipynb diff --git a/notebooks/exam_prep/EXAM_practical_part_24.ipynb b/notebooks/exam_prep/EXAM_practical_part_24.ipynb new file mode 100644 index 0000000..ebee19b --- /dev/null +++ b/notebooks/exam_prep/EXAM_practical_part_24.ipynb @@ -0,0 +1,13333 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "9ce6aa68", + "metadata": { + "id": "9ce6aa68" + }, + "source": [ + "# Задание 1.\n", + "\n", + "Проанализируйте текст ниже с помощью майстема. Уберите из получившегося списка элементы, у которых нет грамматического разбора. Для каждего из оставшихся токенов выберите самый вероятный грамматический разбор. Из каждого разбора выделите только тег части речи. Посчитайте сколько раз встречается каждый тэг. Найдите самый частотный тэг. Какой процент от всего текста занимают слова с этим тэгом?\n", + "\n", + "Вставьте ответ в форму в виде - `1` или `12` (округлите изначальное число до 2 знаков и умножьте на 100 или умножьте на 100 и округлите до целого числа) .\n", + "\n", + "\n", + "*Пример: для такого разбора \"PR=\" частеречный тэг - \"PR\", а для такого \"S,муж,неод=твор,ед\" - \"S\" *" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "54488642", + "metadata": { + "id": "54488642" + }, + "outputs": [], + "source": [ + "text = \"\"\"\n", + "Американская компания Fisker, основанная в 2016 году датским автомобильным дизайнером и предпринимателем Хенриком Фискером, еще несколько лет назад позиционировалась как конкурент Tesla и других электромобильных стартапов (таких как Lucid и Rivian). Однако неполадки с программным обеспечением кроссовера Ocean — единственной модели, которую смогла выпустить Fisker, — а также низкое качество сервиса и хаотичный стиль руководства привели компанию к краху. По оценкам конца 2023 года, ее убытки составляли 1,3 миллиарда долларов. «Медуза» рассказывает, почему, несмотря на амбициозные планы, проект Фискера провалился.\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "069560c3", + "metadata": { + "id": "069560c3" + }, + "outputs": [], + "source": [ + "..." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "5d0ff2b7", + "metadata": { + "id": "5d0ff2b7" + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "ede26498", + "metadata": { + "id": "ede26498" + }, + "source": [ + "## Задание 2.\n", + "\n", + "Вам дана последовательность с правильными ответами для задачи многоклассовой классификации. А также массив с предсказаниями такой же длины, но в виде вероятностей для каждого класса. Для каждой строчки выберете самый вероятный класс. Сравните полученные метки классов с правильными ответами с помощью f1-меры с макро усреднением по классам. Округлите полученную метрику до 2 знака после запятой и вставьте в форму для экзамена в соответствующее поле.\n", + "\n", + "*также используйте параметр zero_division=0 если используете sklearn" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "fbaeb58a", + "metadata": { + "id": "fbaeb58a" + }, + "outputs": [], + "source": [ + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "ef070800", + "metadata": { + "id": "ef070800" + }, + "outputs": [], + "source": [ + "multiclass_true = [0,3,0,0,3,0,0,1,2,4,1,2,4,0,2,0,4,1,2,4,1,1,4,1,2,0]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "9237b3dc", + "metadata": { + "id": "9237b3dc" + }, + "outputs": [], + "source": [ + "probas = np.array([[0.14283307, 0.69125398, 0.08801677, 0.05890497, 0.01899121],\n", + " [0.05017326, 0.16837714, 0.09787715, 0.37586925, 0.3077032 ],\n", + " [0.07349622, 0.20737874, 0.06666821, 0.0582571 , 0.59419973],\n", + " [0.08704361, 0.18970222, 0.16262277, 0.08630088, 0.47433053],\n", + " [0.16137361, 0.21450292, 0.22870402, 0.24422044, 0.151199 ],\n", + " [0.268094 , 0.43761478, 0.12385365, 0.04917541, 0.12126215],\n", + " [0.27161954, 0.01412896, 0.11056462, 0.09468905, 0.50899783],\n", + " [0.09363269, 0.02693918, 0.33977914, 0.39909705, 0.14055195],\n", + " [0.29520778, 0.05132426, 0.06673668, 0.45254433, 0.13418695],\n", + " [0.15421375, 0.22964685, 0.16662999, 0.21004033, 0.23946907],\n", + " [0.24755032, 0.24628846, 0.12956078, 0.24832473, 0.12827571],\n", + " [0.11797719, 0.03232272, 0.07293219, 0.52455883, 0.25220907],\n", + " [0.75835945, 0.07189134, 0.06032446, 0.04986686, 0.05955789],\n", + " [0.02601848, 0.26673495, 0.03124844, 0.21992134, 0.4560768 ],\n", + " [0.58059452, 0.03148405, 0.11400383, 0.14452069, 0.12939691],\n", + " [0.08215579, 0.32887402, 0.10776154, 0.30880314, 0.17240552],\n", + " [0.11467395, 0.07250172, 0.03868279, 0.04358503, 0.73055651],\n", + " [0.09546111, 0.22318028, 0.04797582, 0.42230537, 0.21107742],\n", + " [0.17088269, 0.31617363, 0.02329777, 0.26480448, 0.22484143],\n", + " [0.1573525 , 0.04416687, 0.59056588, 0.0854817 , 0.12243306],\n", + " [0.16300152, 0.224168 , 0.11143585, 0.09995103, 0.4014436 ],\n", + " [0.17649215, 0.32146966, 0.21575183, 0.0238604 , 0.26242596],\n", + " [0.00860468, 0.01201256, 0.96059244, 0.00327634, 0.01551398],\n", + " [0.06455855, 0.11772163, 0.25971348, 0.32510222, 0.23290411],\n", + " [0.04150647, 0.1329052 , 0.22146507, 0.03930956, 0.5648137 ],\n", + " [0.12671909, 0.01486602, 0.77637796, 0.06239952, 0.01963741]])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "edfa3d4c", + "metadata": {}, + "outputs": [], + "source": [ + "..." + ] + }, + { + "cell_type": "markdown", + "id": "3dd46798", + "metadata": { + "id": "3dd46798" + }, + "source": [ + "## Задание 3\n", + "\n", + "Загрузите модель `openai/clip-vit-base-patch32`. Рассчитайте близость (similarity score) между данной картинкой и текстом. Окгруглите значение до 2 знака после запятой и вставьте в форму\n", + "\n", + "*вам нужен logit а не значение после софтмакса (текст у вас один и софтмакс даст 1.0)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "1b8396f6", + "metadata": { + "id": "1b8396f6" + }, + "outputs": [], + "source": [ + "image_url = \"https://i.ibb.co/fYQkR4L/Ewl-AFp-TWUAA0-GEu.jpg\"" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "6a7d84e3", + "metadata": { + "id": "6a7d84e3" + }, + "outputs": [], + "source": [ + "text = \"собака повар готовит сырники\"" + ] + }, + { + "cell_type": "markdown", + "id": "4b4fb936", + "metadata": { + "id": "4b4fb936" + }, + "source": [ + "# Задание 4" + ] + }, + { + "cell_type": "markdown", + "id": "5af1adfb", + "metadata": { + "id": "5af1adfb" + }, + "source": [ + "Используя модель \"microsoft/Phi-3-mini-4k-instruct\" (huggingface), сгенерируйте ответ на следующую инструкцию:\n", + "\"Tell me a joke about natural language processing?\".\n", + "\n", + "Используйте следующее параметры при генерации: максимальная длина продолжения - 38 токенов, отсутствие повторов длиной 2 токена, отсутствие семплирования (выбирается только самый вероятный токен).\n", + "\n", + "Модель должна быть загружена в 4bit формате.\n", + "\n", + "Вставьте сгенерированный текст в форму целиком (кавычки лучше не включать, но сработает и с ними)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "aaff9986", + "metadata": { + "id": "aaff9986" + }, + "outputs": [], + "source": [ + "# !pip install bitsandbytes accelerate\n", + "# может понадобиться сделать restart session после установки библиотек" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "PwJGFJYbNXiO", + "metadata": { + "id": "PwJGFJYbNXiO" + }, + "outputs": [], + "source": [ + "messages = [\n", + " {\"role\": \"user\", \"content\": \"Tell me a joke about natural language processing?\"},\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "681a6441", + "metadata": { + "id": "681a6441" + }, + "outputs": [], + "source": [ + "..." + ] + }, + { + "cell_type": "markdown", + "id": "CFvZX4qYN61z", + "metadata": { + "id": "CFvZX4qYN61z" + }, + "source": [ + "# Задание 5\n", + "\n", + "C помощью модели `segmind/SSD-1B` сгенерируйте картинку со следующими параметрами:\n", + "промпт - \"a colorful English letter\"\n", + "отрицательный промпт - \"blurry, bad quality, unreadable\"\n", + "guidance scale - 10.0\n", + "ширина - 768\n", + "высота - 1024\n", + "количество шагов - 16\n", + "\n", + "В качестве seed поставьте число \"1231473\"\n", + "\n", + "Какая буква на картинке? Вставьте ответ в форму (одна буква в верхнем регистре, например `A`)." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "vY0Yq96bN9OY", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "vY0Yq96bN9OY", + "outputId": "6c64cdf5-a05c-4da3-ea98-fd744463e2f8" + }, + "outputs": [], + "source": [ + "# !pip install diffusers" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b5467f2d", + "metadata": {}, + "outputs": [], + "source": [ + "...\n", + "generator = generator=torch.Generator('cuda').manual_seed(1231473)\n", + "..." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "h0V-ovs9Ok_g", + "metadata": { + "id": "h0V-ovs9Ok_g" + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "accelerator": "GPU", + "colab": { + "gpuType": "T4", + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + 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