Skip to content

Instantly share code, notes, and snippets.

@malibayram

malibayram/llama3_finetuning.ipynb

Last active July 2, 2024 08:07
Show Gist options
  • Save malibayram/83245693459aee6db91521bd4b1f6423 to your computer and use it in GitHub Desktop.
Save malibayram/83245693459aee6db91521bd4b1f6423 to your computer and use it in GitHub Desktop.
Download ZIP
Display the source blob
Display the rendered blob
Raw
llama3_finetuning.ipynb
{
"cells": [
{
"cell_type": "code",
"id": "J5iU97wPBZ1HXwNm8psxlME4",
"metadata": {
"tags": [],
"id": "J5iU97wPBZ1HXwNm8psxlME4",
"colab": {
"base_uri": "https://localhost:8080/"
},
"executionInfo": {
"status": "ok",
"timestamp": 1719061169579,
"user_tz": -180,
"elapsed": 194561,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "ab91ae1f-6683-40ab-f024-cc3e89e10f05"
},
"source": [
"!pip install tqdm\n",
"# tqdm: Bir ilerleme çubuğu kütüphanesi. Uzun süren işlemlerin ilerlemesini görsel olarak takip etmek için kullanılır.\n",
"\n",
"!pip install transformers==4.40.1\n",
"# transformers: Hugging Face tarafından sağlanan bir kütüphane. Farklı önceden eğitilmiş dil modellerini kullanmak için kullanılır. 4.40.1 sürümü kullanılıyor.\n",
"\n",
"!pip install sentencepiece\n",
"# sentencepiece: Metinlerin tokenizasyonu ve alt parçalara ayrılması için kullanılan bir kütüphane. Transformer modelleri ile birlikte sıkça kullanılır.\n",
"\n",
"!pip install datasets\n",
"# datasets: Hugging Face tarafından sağlanan ve çeşitli veri setleriyle çalışma imkanı veren bir kütüphane.\n",
"\n",
"!pip install \"unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git\"\n",
"# unsloth: Eğitim sürecini hızlandıran bir kütüphane. Google Colab üzerinde çalışmak için yeni sürümü kuruluyor.\n",
"\n",
"!pip install trl\n",
"# trl (Transformers Reinforcement Learning): Dil modelleri ile pekiştirmeli öğrenme yapmak için kullanılan bir kütüphane.\n",
"\n",
"!pip install triton\n",
"# triton: Yüksek performanslı derleme ve hesaplama için kullanılan bir kütüphane.\n",
"\n",
"!pip install bitsandbytes\n",
"# bitsandbytes: Model parametrelerinin depolanması ve işlenmesi için optimize edilmiş bir kütüphane.\n",
"\n",
"!pip install --no-deps trl peft accelerate bitsandbytes\n",
"# trl, peft, accelerate, bitsandbytes: Bu kütüphanelerin bağımlılıklarını yüklemeden kurulumunu yapar.\n",
"\n",
"!pip install xformers\n",
"# xformers: Transformerlara yönelik optimize edilmiş performans kütüphanesi.\n",
"\n",
"!pip install pytorch-cuda==12.1 torch xformers\n",
"# pytorch-cuda, torch, xformers: CUDA desteği ile PyTorch ve xformers kütüphanelerinin kurulumu.\n",
"\n",
"#!pip install --no-deps xformers trl peft accelerate bitsandbytes\n",
"# Yorum satırı yapılmış: xformers, trl, peft, accelerate ve bitsandbytes kütüphanelerinin bağımlılıkları olmadan kurulumu.\n",
"\n",
"#!pip install \"unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git\"\n",
"# Yorum satırı yapılmış: unsloth kütüphanesinin Colab üzerinde çalışmak için yeni sürümünün kurulumu.\n",
"\n",
"!pip install hyperopt\n",
"# hyperopt: Hiperparametre optimizasyonu yapmak için kullanılan bir kütüphane.\n",
"\n",
"!pip install optuna\n",
"# optuna: Hiperparametre optimizasyonu ve otomatik makine öğrenimi süreçlerini geliştirmek için kullanılan bir kütüphane."
],
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (4.66.4)\n",
"Collecting transformers==4.40.1\n",
" Downloading transformers-4.40.1-py3-none-any.whl (9.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m9.0/9.0 MB\u001b[0m \u001b[31m28.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers==4.40.1) (3.14.0)\n",
"Requirement already satisfied: huggingface-hub<1.0,>=0.19.3 in /usr/local/lib/python3.10/dist-packages (from transformers==4.40.1) (0.23.3)\n",
"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.40.1) (1.25.2)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.40.1) (24.1)\n",
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.40.1) (6.0.1)\n",
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.40.1) (2024.5.15)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers==4.40.1) (2.31.0)\n",
"Requirement already satisfied: tokenizers<0.20,>=0.19 in /usr/local/lib/python3.10/dist-packages (from transformers==4.40.1) (0.19.1)\n",
"Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.40.1) (0.4.3)\n",
"Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers==4.40.1) (4.66.4)\n",
"Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.19.3->transformers==4.40.1) (2023.6.0)\n",
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.19.3->transformers==4.40.1) (4.12.2)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.40.1) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.40.1) (3.7)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.40.1) (2.0.7)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.40.1) (2024.6.2)\n",
"Installing collected packages: transformers\n",
" Attempting uninstall: transformers\n",
" Found existing installation: transformers 4.41.2\n",
" Uninstalling transformers-4.41.2:\n",
" Successfully uninstalled transformers-4.41.2\n",
"Successfully installed transformers-4.40.1\n",
"Requirement already satisfied: sentencepiece in /usr/local/lib/python3.10/dist-packages (0.1.99)\n",
"Collecting datasets\n",
" Downloading datasets-2.20.0-py3-none-any.whl (547 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m547.8/547.8 kB\u001b[0m \u001b[31m3.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from datasets) (3.14.0)\n",
"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from datasets) (1.25.2)\n",
"Collecting pyarrow>=15.0.0 (from datasets)\n",
" Downloading pyarrow-16.1.0-cp310-cp310-manylinux_2_28_x86_64.whl (40.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m40.8/40.8 MB\u001b[0m \u001b[31m30.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: pyarrow-hotfix in /usr/local/lib/python3.10/dist-packages (from datasets) (0.6)\n",
"Collecting dill<0.3.9,>=0.3.0 (from datasets)\n",
" Downloading dill-0.3.8-py3-none-any.whl (116 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m116.3/116.3 kB\u001b[0m \u001b[31m22.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from datasets) (2.0.3)\n",
"Collecting requests>=2.32.2 (from datasets)\n",
" Downloading requests-2.32.3-py3-none-any.whl (64 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m64.9/64.9 kB\u001b[0m \u001b[31m12.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: tqdm>=4.66.3 in /usr/local/lib/python3.10/dist-packages (from datasets) (4.66.4)\n",
"Collecting xxhash (from datasets)\n",
" Downloading xxhash-3.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (194 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m194.1/194.1 kB\u001b[0m \u001b[31m32.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting multiprocess (from datasets)\n",
" Downloading multiprocess-0.70.16-py310-none-any.whl (134 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.8/134.8 kB\u001b[0m \u001b[31m25.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: fsspec[http]<=2024.5.0,>=2023.1.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (2023.6.0)\n",
"Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from datasets) (3.9.5)\n",
"Requirement already satisfied: huggingface-hub>=0.21.2 in /usr/local/lib/python3.10/dist-packages (from datasets) (0.23.3)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from datasets) (24.1)\n",
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from datasets) (6.0.1)\n",
"Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (1.3.1)\n",
"Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (23.2.0)\n",
"Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (1.4.1)\n",
"Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (6.0.5)\n",
"Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (1.9.4)\n",
"Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (4.0.3)\n",
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.21.2->datasets) (4.12.2)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets) (3.7)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets) (2.0.7)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets) (2024.6.2)\n",
"Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2.8.2)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2023.4)\n",
"Requirement already satisfied: tzdata>=2022.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2024.1)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas->datasets) (1.16.0)\n",
"Installing collected packages: xxhash, requests, pyarrow, dill, multiprocess, datasets\n",
" Attempting uninstall: requests\n",
" Found existing installation: requests 2.31.0\n",
" Uninstalling requests-2.31.0:\n",
" Successfully uninstalled requests-2.31.0\n",
" Attempting uninstall: pyarrow\n",
" Found existing installation: pyarrow 14.0.2\n",
" Uninstalling pyarrow-14.0.2:\n",
" Successfully uninstalled pyarrow-14.0.2\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"cudf-cu12 24.4.1 requires pyarrow<15.0.0a0,>=14.0.1, but you have pyarrow 16.1.0 which is incompatible.\n",
"google-colab 1.0.0 requires requests==2.31.0, but you have requests 2.32.3 which is incompatible.\n",
"ibis-framework 8.0.0 requires pyarrow<16,>=2, but you have pyarrow 16.1.0 which is incompatible.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed datasets-2.20.0 dill-0.3.8 multiprocess-0.70.16 pyarrow-16.1.0 requests-2.32.3 xxhash-3.4.1\n",
"Collecting unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git\n",
" Cloning https://github.com/unslothai/unsloth.git to /tmp/pip-install-gas533y5/unsloth_0f3518d68eaa45b19f20320eed863695\n",
" Running command git clone --filter=blob:none --quiet https://github.com/unslothai/unsloth.git /tmp/pip-install-gas533y5/unsloth_0f3518d68eaa45b19f20320eed863695\n",
" Resolved https://github.com/unslothai/unsloth.git to commit 933d9fe2cb2459f949ee2250e90a5b610d277eab\n",
" Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
" Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
"Collecting tyro (from unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git)\n",
" Downloading tyro-0.8.4-py3-none-any.whl (102 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m102.4/102.4 kB\u001b[0m \u001b[31m1.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: transformers>=4.38.2 in /usr/local/lib/python3.10/dist-packages (from unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (4.40.1)\n",
"Requirement already satisfied: datasets>=2.16.0 in /usr/local/lib/python3.10/dist-packages (from unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (2.20.0)\n",
"Requirement already satisfied: sentencepiece in /usr/local/lib/python3.10/dist-packages (from unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (0.1.99)\n",
"Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (4.66.4)\n",
"Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (5.9.5)\n",
"Requirement already satisfied: wheel>=0.42.0 in /usr/local/lib/python3.10/dist-packages (from unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (0.43.0)\n",
"Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (1.25.2)\n",
"Requirement already satisfied: protobuf<4.0.0 in /usr/local/lib/python3.10/dist-packages (from unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (3.20.3)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (3.14.0)\n",
"Requirement already satisfied: pyarrow>=15.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (16.1.0)\n",
"Requirement already satisfied: pyarrow-hotfix in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (0.6)\n",
"Requirement already satisfied: dill<0.3.9,>=0.3.0 in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (0.3.8)\n",
"Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (2.0.3)\n",
"Requirement already satisfied: requests>=2.32.2 in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (2.32.3)\n",
"Requirement already satisfied: xxhash in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (3.4.1)\n",
"Requirement already satisfied: multiprocess in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (0.70.16)\n",
"Requirement already satisfied: fsspec[http]<=2024.5.0,>=2023.1.0 in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (2023.6.0)\n",
"Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (3.9.5)\n",
"Requirement already satisfied: huggingface-hub>=0.21.2 in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (0.23.3)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (24.1)\n",
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (6.0.1)\n",
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.38.2->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (2024.5.15)\n",
"Requirement already satisfied: tokenizers<0.20,>=0.19 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.38.2->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (0.19.1)\n",
"Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.38.2->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (0.4.3)\n",
"Requirement already satisfied: docstring-parser>=0.14.1 in /usr/local/lib/python3.10/dist-packages (from tyro->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (0.16)\n",
"Requirement already satisfied: typing-extensions>=4.7.0 in /usr/local/lib/python3.10/dist-packages (from tyro->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (4.12.2)\n",
"Requirement already satisfied: rich>=11.1.0 in /usr/local/lib/python3.10/dist-packages (from tyro->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (13.7.1)\n",
"Collecting shtab>=1.5.6 (from tyro->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git)\n",
" Downloading shtab-1.7.1-py3-none-any.whl (14 kB)\n",
"Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (1.3.1)\n",
"Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (23.2.0)\n",
"Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (1.4.1)\n",
"Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (6.0.5)\n",
"Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (1.9.4)\n",
"Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (4.0.3)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (3.7)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (2.0.7)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (2024.6.2)\n",
"Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich>=11.1.0->tyro->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (3.0.0)\n",
"Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich>=11.1.0->tyro->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (2.16.1)\n",
"Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (2.8.2)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (2023.4)\n",
"Requirement already satisfied: tzdata>=2022.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (2024.1)\n",
"Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich>=11.1.0->tyro->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (0.1.2)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas->datasets>=2.16.0->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (1.16.0)\n",
"Building wheels for collected packages: unsloth\n",
" Building wheel for unsloth (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for unsloth: filename=unsloth-2024.6-py3-none-any.whl size=117334 sha256=e0d5eb66fc3eb20ec0fe2ccc2c3ef2ab29ba06cb9b51168a5527023160da7c83\n",
" Stored in directory: /tmp/pip-ephem-wheel-cache-0jwmcft_/wheels/ed/d4/e9/76fb290ee3df0a5fc21ce5c2c788e29e9607a2353d8342fd0d\n",
"Successfully built unsloth\n",
"Installing collected packages: unsloth, shtab, tyro\n",
"Successfully installed shtab-1.7.1 tyro-0.8.4 unsloth-2024.6\n",
"Collecting trl\n",
" Downloading trl-0.9.4-py3-none-any.whl (226 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m226.7/226.7 kB\u001b[0m \u001b[31m2.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: torch>=1.4.0 in /usr/local/lib/python3.10/dist-packages (from trl) (2.3.0+cu121)\n",
"Requirement already satisfied: transformers>=4.31.0 in /usr/local/lib/python3.10/dist-packages (from trl) (4.40.1)\n",
"Requirement already satisfied: numpy>=1.18.2 in /usr/local/lib/python3.10/dist-packages (from trl) (1.25.2)\n",
"Collecting accelerate (from trl)\n",
" Downloading accelerate-0.31.0-py3-none-any.whl (309 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m309.4/309.4 kB\u001b[0m \u001b[31m8.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: datasets in /usr/local/lib/python3.10/dist-packages (from trl) (2.20.0)\n",
"Requirement already satisfied: tyro>=0.5.11 in /usr/local/lib/python3.10/dist-packages (from trl) (0.8.4)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.4.0->trl) (3.14.0)\n",
"Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.4.0->trl) (4.12.2)\n",
"Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.4.0->trl) (1.12.1)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.4.0->trl) (3.3)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.4.0->trl) (3.1.4)\n",
"Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch>=1.4.0->trl) (2023.6.0)\n",
"Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch>=1.4.0->trl)\n",
" Using cached nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)\n",
"Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch>=1.4.0->trl)\n",
" Using cached nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)\n",
"Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch>=1.4.0->trl)\n",
" Using cached nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)\n",
"Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch>=1.4.0->trl)\n",
" Using cached nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB)\n",
"Collecting nvidia-cublas-cu12==12.1.3.1 (from torch>=1.4.0->trl)\n",
" Using cached nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)\n",
"Collecting nvidia-cufft-cu12==11.0.2.54 (from torch>=1.4.0->trl)\n",
" Using cached nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)\n",
"Collecting nvidia-curand-cu12==10.3.2.106 (from torch>=1.4.0->trl)\n",
" Using cached nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)\n",
"Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch>=1.4.0->trl)\n",
" Using cached nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)\n",
"Collecting nvidia-cusparse-cu12==12.1.0.106 (from torch>=1.4.0->trl)\n",
" Using cached nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)\n",
"Collecting nvidia-nccl-cu12==2.20.5 (from torch>=1.4.0->trl)\n",
" Using cached nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl (176.2 MB)\n",
"Collecting nvidia-nvtx-cu12==12.1.105 (from torch>=1.4.0->trl)\n",
" Using cached nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)\n",
"Requirement already satisfied: triton==2.3.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.4.0->trl) (2.3.0)\n",
"Collecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch>=1.4.0->trl)\n",
" Downloading nvidia_nvjitlink_cu12-12.5.40-py3-none-manylinux2014_x86_64.whl (21.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.3/21.3 MB\u001b[0m \u001b[31m65.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: huggingface-hub<1.0,>=0.19.3 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.31.0->trl) (0.23.3)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.31.0->trl) (24.1)\n",
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.31.0->trl) (6.0.1)\n",
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.31.0->trl) (2024.5.15)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers>=4.31.0->trl) (2.32.3)\n",
"Requirement already satisfied: tokenizers<0.20,>=0.19 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.31.0->trl) (0.19.1)\n",
"Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.31.0->trl) (0.4.3)\n",
"Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.31.0->trl) (4.66.4)\n",
"Requirement already satisfied: docstring-parser>=0.14.1 in /usr/local/lib/python3.10/dist-packages (from tyro>=0.5.11->trl) (0.16)\n",
"Requirement already satisfied: rich>=11.1.0 in /usr/local/lib/python3.10/dist-packages (from tyro>=0.5.11->trl) (13.7.1)\n",
"Requirement already satisfied: shtab>=1.5.6 in /usr/local/lib/python3.10/dist-packages (from tyro>=0.5.11->trl) (1.7.1)\n",
"Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate->trl) (5.9.5)\n",
"Requirement already satisfied: pyarrow>=15.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets->trl) (16.1.0)\n",
"Requirement already satisfied: pyarrow-hotfix in /usr/local/lib/python3.10/dist-packages (from datasets->trl) (0.6)\n",
"Requirement already satisfied: dill<0.3.9,>=0.3.0 in /usr/local/lib/python3.10/dist-packages (from datasets->trl) (0.3.8)\n",
"Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from datasets->trl) (2.0.3)\n",
"Requirement already satisfied: xxhash in /usr/local/lib/python3.10/dist-packages (from datasets->trl) (3.4.1)\n",
"Requirement already satisfied: multiprocess in /usr/local/lib/python3.10/dist-packages (from datasets->trl) (0.70.16)\n",
"Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from datasets->trl) (3.9.5)\n",
"Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets->trl) (1.3.1)\n",
"Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets->trl) (23.2.0)\n",
"Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets->trl) (1.4.1)\n",
"Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets->trl) (6.0.5)\n",
"Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets->trl) (1.9.4)\n",
"Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets->trl) (4.0.3)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers>=4.31.0->trl) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers>=4.31.0->trl) (3.7)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers>=4.31.0->trl) (2.0.7)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers>=4.31.0->trl) (2024.6.2)\n",
"Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich>=11.1.0->tyro>=0.5.11->trl) (3.0.0)\n",
"Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich>=11.1.0->tyro>=0.5.11->trl) (2.16.1)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.4.0->trl) (2.1.5)\n",
"Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets->trl) (2.8.2)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets->trl) (2023.4)\n",
"Requirement already satisfied: tzdata>=2022.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets->trl) (2024.1)\n",
"Requirement already satisfied: mpmath<1.4.0,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.4.0->trl) (1.3.0)\n",
"Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich>=11.1.0->tyro>=0.5.11->trl) (0.1.2)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas->datasets->trl) (1.16.0)\n",
"Installing collected packages: nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, nvidia-cusparse-cu12, nvidia-cudnn-cu12, nvidia-cusolver-cu12, accelerate, trl\n",
"Successfully installed accelerate-0.31.0 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.5.40 nvidia-nvtx-cu12-12.1.105 trl-0.9.4\n",
"Requirement already satisfied: triton in /usr/local/lib/python3.10/dist-packages (2.3.0)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from triton) (3.14.0)\n",
"Collecting bitsandbytes\n",
" Downloading bitsandbytes-0.43.1-py3-none-manylinux_2_24_x86_64.whl (119.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m119.8/119.8 MB\u001b[0m \u001b[31m8.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from bitsandbytes) (2.3.0+cu121)\n",
"Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from bitsandbytes) (1.25.2)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (3.14.0)\n",
"Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (4.12.2)\n",
"Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (1.12.1)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (3.3)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (3.1.4)\n",
"Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (2023.6.0)\n",
"Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (12.1.105)\n",
"Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (12.1.105)\n",
"Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (12.1.105)\n",
"Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (8.9.2.26)\n",
"Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (12.1.3.1)\n",
"Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (11.0.2.54)\n",
"Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (10.3.2.106)\n",
"Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (11.4.5.107)\n",
"Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (12.1.0.106)\n",
"Requirement already satisfied: nvidia-nccl-cu12==2.20.5 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (2.20.5)\n",
"Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (12.1.105)\n",
"Requirement already satisfied: triton==2.3.0 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (2.3.0)\n",
"Requirement already satisfied: nvidia-nvjitlink-cu12 in /usr/local/lib/python3.10/dist-packages (from nvidia-cusolver-cu12==11.4.5.107->torch->bitsandbytes) (12.5.40)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch->bitsandbytes) (2.1.5)\n",
"Requirement already satisfied: mpmath<1.4.0,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch->bitsandbytes) (1.3.0)\n",
"Installing collected packages: bitsandbytes\n",
"Successfully installed bitsandbytes-0.43.1\n",
"Requirement already satisfied: trl in /usr/local/lib/python3.10/dist-packages (0.9.4)\n",
"Collecting peft\n",
" Downloading peft-0.11.1-py3-none-any.whl (251 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m251.6/251.6 kB\u001b[0m \u001b[31m333.1 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (0.31.0)\n",
"Requirement already satisfied: bitsandbytes in /usr/local/lib/python3.10/dist-packages (0.43.1)\n",
"Installing collected packages: peft\n",
"Successfully installed peft-0.11.1\n",
"Collecting xformers\n",
" Downloading xformers-0.0.26.post1-cp310-cp310-manylinux2014_x86_64.whl (222.7 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m222.7/222.7 MB\u001b[0m \u001b[31m2.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from xformers) (1.25.2)\n",
"Requirement already satisfied: torch==2.3.0 in /usr/local/lib/python3.10/dist-packages (from xformers) (2.3.0+cu121)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (3.14.0)\n",
"Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (4.12.2)\n",
"Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (1.12.1)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (3.3)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (3.1.4)\n",
"Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (2023.6.0)\n",
"Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (12.1.105)\n",
"Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (12.1.105)\n",
"Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (12.1.105)\n",
"Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (8.9.2.26)\n",
"Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (12.1.3.1)\n",
"Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (11.0.2.54)\n",
"Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (10.3.2.106)\n",
"Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (11.4.5.107)\n",
"Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (12.1.0.106)\n",
"Requirement already satisfied: nvidia-nccl-cu12==2.20.5 in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (2.20.5)\n",
"Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (12.1.105)\n",
"Requirement already satisfied: triton==2.3.0 in /usr/local/lib/python3.10/dist-packages (from torch==2.3.0->xformers) (2.3.0)\n",
"Requirement already satisfied: nvidia-nvjitlink-cu12 in /usr/local/lib/python3.10/dist-packages (from nvidia-cusolver-cu12==11.4.5.107->torch==2.3.0->xformers) (12.5.40)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch==2.3.0->xformers) (2.1.5)\n",
"Requirement already satisfied: mpmath<1.4.0,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch==2.3.0->xformers) (1.3.0)\n",
"Installing collected packages: xformers\n",
"Successfully installed xformers-0.0.26.post1\n",
"\u001b[31mERROR: Could not find a version that satisfies the requirement pytorch-cuda==12.1 (from versions: none)\u001b[0m\u001b[31m\n",
"\u001b[0m\u001b[31mERROR: No matching distribution found for pytorch-cuda==12.1\u001b[0m\u001b[31m\n",
"\u001b[0mRequirement already satisfied: hyperopt in /usr/local/lib/python3.10/dist-packages (0.2.7)\n",
"Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from hyperopt) (1.25.2)\n",
"Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from hyperopt) (1.11.4)\n",
"Requirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from hyperopt) (1.16.0)\n",
"Requirement already satisfied: networkx>=2.2 in /usr/local/lib/python3.10/dist-packages (from hyperopt) (3.3)\n",
"Requirement already satisfied: future in /usr/local/lib/python3.10/dist-packages (from hyperopt) (0.18.3)\n",
"Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from hyperopt) (4.66.4)\n",
"Requirement already satisfied: cloudpickle in /usr/local/lib/python3.10/dist-packages (from hyperopt) (2.2.1)\n",
"Requirement already satisfied: py4j in /usr/local/lib/python3.10/dist-packages (from hyperopt) (0.10.9.7)\n",
"Collecting optuna\n",
" Downloading optuna-3.6.1-py3-none-any.whl (380 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m380.1/380.1 kB\u001b[0m \u001b[31m1.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting alembic>=1.5.0 (from optuna)\n",
" Downloading alembic-1.13.1-py3-none-any.whl (233 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m233.4/233.4 kB\u001b[0m \u001b[31m21.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting colorlog (from optuna)\n",
" Downloading colorlog-6.8.2-py3-none-any.whl (11 kB)\n",
"Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from optuna) (1.25.2)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from optuna) (24.1)\n",
"Requirement already satisfied: sqlalchemy>=1.3.0 in /usr/local/lib/python3.10/dist-packages (from optuna) (2.0.30)\n",
"Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from optuna) (4.66.4)\n",
"Requirement already satisfied: PyYAML in /usr/local/lib/python3.10/dist-packages (from optuna) (6.0.1)\n",
"Collecting Mako (from alembic>=1.5.0->optuna)\n",
" Downloading Mako-1.3.5-py3-none-any.whl (78 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m78.6/78.6 kB\u001b[0m \u001b[31m15.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: typing-extensions>=4 in /usr/local/lib/python3.10/dist-packages (from alembic>=1.5.0->optuna) (4.12.2)\n",
"Requirement already satisfied: greenlet!=0.4.17 in /usr/local/lib/python3.10/dist-packages (from sqlalchemy>=1.3.0->optuna) (3.0.3)\n",
"Requirement already satisfied: MarkupSafe>=0.9.2 in /usr/local/lib/python3.10/dist-packages (from Mako->alembic>=1.5.0->optuna) (2.1.5)\n",
"Installing collected packages: Mako, colorlog, alembic, optuna\n",
"Successfully installed Mako-1.3.5 alembic-1.13.1 colorlog-6.8.2 optuna-3.6.1\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!python -m xformers.info\n",
"# xformers.info: xformers kütüphanesi hakkında bilgi almak için kullanılır. Kurulumun ve yapılandırmanın doğruluğunu kontrol eder.\n",
"\n",
"!python -m bitsandbytes\n",
"# bitsandbytes: bitsandbytes kütüphanesinin doğru kurulduğunu ve çalıştığını kontrol eder.\n",
"\n",
"!nvidia-smi\n",
"# nvidia-smi: NVIDIA GPU'nun mevcut durumunu ve istatistiklerini gösteren bir komut. GPU'nun doğru çalıştığını ve sistemde tanındığını kontrol etmek için kullanılır.\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "APknXo7JBipf",
"executionInfo": {
"status": "ok",
"timestamp": 1719061198542,
"user_tz": -180,
"elapsed": 28965,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "2f38d1de-14e4-4e42-977c-8539fc4daa20"
},
"id": "APknXo7JBipf",
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Unable to find python bindings at /usr/local/dcgm/bindings/python3. No data will be captured.\n",
"xFormers 0.0.26.post1\n",
"memory_efficient_attention.ckF: unavailable\n",
"memory_efficient_attention.ckB: unavailable\n",
"memory_efficient_attention.ck_decoderF: unavailable\n",
"memory_efficient_attention.ck_splitKF: unavailable\n",
"memory_efficient_attention.cutlassF: available\n",
"memory_efficient_attention.cutlassB: available\n",
"memory_efficient_attention.decoderF: available\n",
"[email protected]: available\n",
"[email protected]: available\n",
"memory_efficient_attention.smallkF: available\n",
"memory_efficient_attention.smallkB: available\n",
"memory_efficient_attention.triton_splitKF: available\n",
"indexing.scaled_index_addF: available\n",
"indexing.scaled_index_addB: available\n",
"indexing.index_select: available\n",
"sequence_parallel_fused.write_values: available\n",
"sequence_parallel_fused.wait_values: available\n",
"sequence_parallel_fused.cuda_memset_32b_async: available\n",
"sp24.sparse24_sparsify_both_ways: available\n",
"sp24.sparse24_apply: available\n",
"sp24.sparse24_apply_dense_output: available\n",
"sp24._sparse24_gemm: available\n",
"[email protected]: available\n",
"swiglu.dual_gemm_silu: available\n",
"swiglu.gemm_fused_operand_sum: available\n",
"swiglu.fused.p.cpp: available\n",
"is_triton_available: True\n",
"pytorch.version: 2.3.0+cu121\n",
"pytorch.cuda: available\n",
"gpu.compute_capability: 8.0\n",
"gpu.name: NVIDIA A100-SXM4-40GB\n",
"dcgm_profiler: unavailable\n",
"build.info: available\n",
"build.cuda_version: 1201\n",
"build.hip_version: None\n",
"build.python_version: 3.10.14\n",
"build.torch_version: 2.3.0+cu121\n",
"build.env.TORCH_CUDA_ARCH_LIST: 5.0+PTX 6.0 6.1 7.0 7.5 8.0+PTX 9.0\n",
"build.env.PYTORCH_ROCM_ARCH: None\n",
"build.env.XFORMERS_BUILD_TYPE: Release\n",
"build.env.XFORMERS_ENABLE_DEBUG_ASSERTIONS: None\n",
"build.env.NVCC_FLAGS: None\n",
"build.env.XFORMERS_PACKAGE_FROM: wheel-v0.0.26.post1\n",
"build.nvcc_version: 12.1.66\n",
"source.privacy: open source\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"++++++++++++++++++ BUG REPORT INFORMATION ++++++++++++++++++\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"++++++++++++++++++++++++++ OTHER +++++++++++++++++++++++++++\n",
"CUDA specs: CUDASpecs(highest_compute_capability=(8, 0), cuda_version_string='121', cuda_version_tuple=(12, 1))\n",
"PyTorch settings found: CUDA_VERSION=121, Highest Compute Capability: (8, 0).\n",
"To manually override the PyTorch CUDA version please see: https://github.com/TimDettmers/bitsandbytes/blob/main/docs/source/nonpytorchcuda.mdx\n",
"The directory listed in your path is found to be non-existent: /usr/local/nvidia/lib\n",
"The directory listed in your path is found to be non-existent: /usr/lib64-nvidia\n",
"The directory listed in your path is found to be non-existent: //colab-embedded.cloud.google.com|https\n",
"The directory listed in your path is found to be non-existent: //colab.sandbox.google.com|https\n",
"The directory listed in your path is found to be non-existent: //colab.research.google.com|https\n",
"The directory listed in your path is found to be non-existent: //[0-9a-z]+-dot-[-0-9a-z]*.aiplatform-notebooks.googleusercontent.com|/localhost\n",
"The directory listed in your path is found to be non-existent: //colab-embedded.cloud.google.com|/localhost\n",
"The directory listed in your path is found to be non-existent: //colab.sandbox.google.com|/localhost\n",
"The directory listed in your path is found to be non-existent: //colab.research.google.com|null\n",
"The directory listed in your path is found to be non-existent: /content/.config\n",
"The directory listed in your path is found to be non-existent: /env/python\n",
"The directory listed in your path is found to be non-existent: /var/spark-connect/spark_connect_environment_config.textproto\n",
"The directory listed in your path is found to be non-existent: /api/sessions\n",
"The directory listed in your path is found to be non-existent: //ipykernel.pylab.backend_inline\n",
"CUDA SETUP: WARNING! CUDA runtime files not found in any environmental path.\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"++++++++++++++++++++++ DEBUG INFO END ++++++++++++++++++++++\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"Checking that the library is importable and CUDA is callable...\n",
"SUCCESS!\n",
"Installation was successful!\n",
"Sat Jun 22 12:59:57 2024 \n",
"+-----------------------------------------------------------------------------------------+\n",
"| NVIDIA-SMI 550.54.15 Driver Version: 550.54.15 CUDA Version: 12.4 |\n",
"|-----------------------------------------+------------------------+----------------------+\n",
"| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n",
"| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n",
"| | | MIG M. |\n",
"|=========================================+========================+======================|\n",
"| 0 NVIDIA A100-SXM4-40GB Off | 00000000:00:04.0 Off | 0 |\n",
"| N/A 28C P0 54W / 400W | 0MiB / 40960MiB | 9% Default |\n",
"| | | Disabled |\n",
"+-----------------------------------------+------------------------+----------------------+\n",
" \n",
"+-----------------------------------------------------------------------------------------+\n",
"| Processes: |\n",
"| GPU GI CI PID Type Process name GPU Memory |\n",
"| ID ID Usage |\n",
"|=========================================================================================|\n",
"| No running processes found |\n",
"+-----------------------------------------------------------------------------------------+\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"import json\n",
"import torch\n",
"from datasets import load_dataset\n",
"from huggingface_hub import notebook_login\n",
"from transformers import TrainingArguments\n",
"from trl import SFTTrainer\n",
"from unsloth import FastLanguageModel\n",
"print(torch.__version__)\n",
"print(torch.version.cuda)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "JBGfdQ63Bim5",
"executionInfo": {
"status": "ok",
"timestamp": 1719061249851,
"user_tz": -180,
"elapsed": 27055,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "e73d2f25-8ea9-4c3c-fe3e-99122d297e72"
},
"id": "JBGfdQ63Bim5",
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n",
"2.3.0+cu121\n",
"12.1\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"notebook_login()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 145,
"referenced_widgets": [
"bc7cf067a7e94f7993ea06c9d35da4fe",
"12af06c6067e4045bd693e03588acc13",
"d46fdbe4a6cb4e6385a1571d11e29e03",
"cd115c6826c44c429f28e3228c3c0a77",
"1e89e4fa9aab4ea2991b2e0a8d0aced9",
"2f46c5fca7594f06b2f8de576e8e5964",
"bcebbabe26694d2d8adec743b8e4bb62",
"01e5ee608f134a9aa32a135ca5ef0a97",
"492d50c612b843a1a8d7846a1d7e0157",
"f333e261c77346b5a61ec5ed8967c7e9",
"3eb389cbef254f5a913f896da30a3dd1",
"6af50ee84d6a4b108e16be03bdae67af",
"218c50548a61438cbe00c2d6eee33c7a",
"b160a2ec4f7e4deeace9b52c5a797eb6",
"0c0ff8618eb44ec88a70b476cc4eab8b",
"1633ffac0f804fd9a796eee645dfd802",
"4b54976a3ee94639aecb27da799631b2",
"be07f59a9106482d8b0a76475f1495f5",
"5daf8d78f8d340a09f625de149cf6f46",
"624acf848a1f48daa4fb5409a87d4219",
"3fe3c9a7cacc4f7b89c127908dcb5c2d",
"7c42e6bc8c0546cbb58003d52222d0d6",
"91a99911c63d46948ff16f1b1ec7eba3",
"7d2451abdfd848d3934e50a028addbfe",
"e91f9d6e36f44b3396e39d3e817650db",
"bae8aecddff342ce8bd7f48140e9242b",
"84d6978ea6bb42d4b29a96c52fd05224",
"45ff8f892d82404d836e90cb7c2ea9b5",
"948cb2d9477643bdafbd995e1b6b894a",
"60432ef7b65b447fbf597d2573e5cf97",
"6ea1e5e9598a4207a063f7dff2dcf951",
"b9b5860606504c93b97d69788a012544"
]
},
"id": "kmI_2mrnBij9",
"executionInfo": {
"status": "ok",
"timestamp": 1719061284613,
"user_tz": -180,
"elapsed": 760,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "08d8b9ec-8ca4-407e-83cd-1569c1a1900e"
},
"id": "kmI_2mrnBij9",
"execution_count": 4,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "bc7cf067a7e94f7993ea06c9d35da4fe"
}
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Defining the configuration for the base model, LoRA and training\n",
"config = {\n",
" \"hugging_face_username\":\"alibayram\",\n",
" \"model_config\": {\n",
" # \"base_model\":\"meta-llama/Meta-Llama-3-8B-Instruct\", # The base model\n",
" \"base_model\":\"meta-llama/Meta-Llama-3-8B-Instruct\", # The base model\n",
" \"finetuned_model\":\"alibayram/Doktor-Llama-3-8b-2\", # The finetuned model\n",
" \"max_seq_length\": 1024, # The maximum sequence length\n",
" # \"dtype\":torch.float16, # The data type\n",
" # \"dtype\": torch.float32, # Use float32 instead of half CUDA capability < 8\n",
" \"dtype\" : torch.bfloat16, # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+\n",
" \"load_in_4bit\": True, # Load the model in 4-bit\n",
" },\n",
" \"lora_config\": {\n",
" \"r\": 8, # The number of LoRA layers 8, 16, 32, 64\n",
" \"target_modules\": [\"q_proj\", \"k_proj\", \"v_proj\", \"o_proj\",\n",
" \"gate_proj\", \"up_proj\", \"down_proj\"], # The target modules\n",
" # \"lora_alpha\":16, # The alpha value for LoRA\n",
" \"lora_alpha\":32, # The alpha value for LoRA by search grid\n",
" \"lora_dropout\":0.05, # The dropout value for LoRA\n",
" #\"task_type\":\"CAUSAL_LM\",\n",
" \"bias\":\"none\", # The bias for LoRA\n",
" \"use_gradient_checkpointing\":True, # Use gradient checkpointing\n",
" \"use_rslora\":False, # Use RSLora\n",
" \"use_dora\":False, # Use DoRa\n",
" \"loftq_config\":None # The LoFTQ configuration\n",
" },\n",
"\n",
" \"training_config\": {\n",
" \"per_device_train_batch_size\": 16, # The batch size\n",
" #\"per_device_train_batch_size\": 6, # The batch size by search grid\n",
" \"gradient_accumulation_steps\": 8, # The gradient accumulation steps\n",
" #\"gradient_accumulation_steps\": 7, # The gradient accumulation steps by search grid\n",
" \"warmup_steps\": 50, # The warmup steps\n",
" \"max_steps\":0, # The maximum steps (0 if the epochs are defined)\n",
" \"num_train_epochs\": 2, # The number of training epochs(0 if the maximum steps are defined)\n",
" \"learning_rate\": 2e-4, # The learning rate 0.0002\n",
" #\"learning_rate\": 9.5e-05, # The learning rate by search grid\n",
" \"fp16\": not torch.cuda.is_bf16_supported(), # The fp16\n",
" \"bf16\": torch.cuda.is_bf16_supported(), # The bf16\n",
" \"logging_steps\": 1, # The logging steps\n",
" \"optim\" :\"adamw_8bit\", # The optimizer\n",
" \"weight_decay\" : 0.01, # The weight decay\n",
" \"lr_scheduler_type\": \"linear\", # The learning rate scheduler\n",
" \"seed\" : 42, # The seed\n",
" \"output_dir\" : \"outputs\", # The output directory,\n",
" \"push_to_hub\": True\n",
" }\n",
"}"
],
"metadata": {
"id": "QUHbFpWmBig0",
"executionInfo": {
"status": "ok",
"timestamp": 1719062658664,
"user_tz": -180,
"elapsed": 5,
"user": {
"displayName": "",
"userId": ""
}
}
},
"id": "QUHbFpWmBig0",
"execution_count": 8,
"outputs": []
},
{
"cell_type": "code",
"source": [
"config_dataset={\n",
" \"training_dataset\": {\n",
" \"name\": \"/content/sohbetler167732.csv\", # The dataset name(huggingface/datasets)\n",
" \"file_type\": \"csv\",\n",
" \"split\": \"train\", # The dataset split\n",
" \"input_fields\": [\"question_content\", \"question_answer\"] ,# The input fields\n",
" \"input_field\": \"text\",# The input field\n",
" },\n",
" }"
],
"metadata": {
"id": "Lo8pmcW2Bidz",
"executionInfo": {
"status": "ok",
"timestamp": 1719062443099,
"user_tz": -180,
"elapsed": 708,
"user": {
"displayName": "",
"userId": ""
}
}
},
"id": "Lo8pmcW2Bidz",
"execution_count": 6,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Loading the model and the tokinizer for the model\n",
"model, tokenizer = FastLanguageModel.from_pretrained(\n",
" model_name = config.get(\"model_config\").get(\"base_model\"),\n",
" max_seq_length = config.get(\"model_config\").get(\"max_seq_length\"),\n",
" dtype = config.get(\"model_config\").get(\"dtype\"),\n",
" load_in_4bit = config.get(\"model_config\").get(\"load_in_4bit\"),\n",
")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 313,
"referenced_widgets": [
"54cf9a3847944023b5eb6c4d045908fc",
"4a434fa776cc4cf69f0def2e82bba80e",
"acd0a35eb7e044b78ec2476b53870ab4",
"98a5cbb9e1fe49d585cc146735ce8063",
"edb956929e9947c99ce6e1cdd72a0430",
"6aeb181b49044f47ab6013cd66f052b1",
"c86cff2416f7420d9b752b3563841c91",
"0d36f80c97014ba7a7eee6afb78aae04",
"5fd807772b294792b2a9e5ed7559dffe",
"1a232c1ecd8b4ebc87e315f2e222f648",
"98b8ba6d1cc34309a77f0b6f6a005051",
"0f1252d6f23c4ac7a186de7b44e0e5b7",
"53e7f03966464773a7f922820aa43563",
"8dd5a76db35a40c4973c34a9e3183d7f",
"8b53885013fc4e5e86f54edac812e741",
"1c235da1ca524ad99a94c9c327cb678b",
"7be4c4c7fc994e9b84e232dd4ced810e",
"b76a214ad32c4dec86a76c05726111f5",
"02fc2cc64a404401a529a679d308067b",
"be42c6acfcf746cfb1b5d9d7365b61b3",
"db85d9c0e3eb4da6a238eacfbe65bdcf",
"3e493a8c46cd4bc79903b709c6d9a69b",
"5871900c457d468e90c8709cf6dfebc6",
"19958d3d305541af91eb8984962c7cae",
"345136eeda1341ea9a6b1243db3aa42a",
"6aedc73283a648aea384000d6a7cc97b",
"64aefd4aedcc44839d6f81f793136a1e",
"7c4333c462964aa49d12bcbd9d2ade5a",
"5f72354416c045c7983607424c9bc8d4",
"87947ff104534d06864eb7794b3a4e82",
"f70253b9e46241b38b5612c3cd677428",
"d482cda263374122b6a686c191966ea2",
"0c6e24fc0b7f46c881e421ae01fa5ab5",
"2dfc515b6415485fb8366476af1bcb3a",
"89ed05d69798498d9c7afdfd271a8b47",
"58f6a95489024815967728772d2165f8",
"5479db92eab8411fb2f0c450a918a57c",
"b36849f384334510852048bd4a52026d",
"caef05d1888d4c7087ac1f4869d982a8",
"7daa0b37127d4d0d9046a1b5158831ce",
"7e468db20fa544eb854bee8ed8a6279a",
"84427507156d41e186244b6e7edef5d8",
"dcc4ce9ebc77444f8a90a38c57a49b0f",
"ce59b233906245a6b32e43d1e5898051",
"4a2813d8e26d4cad97f0326297ba6659",
"1018970cb1b240d0a91805d4ca15adf6",
"ae8cf4f09d1449ce8834ae5b7e0bf4d9",
"2769525725a346b6ac431319569bc9a2",
"3024ae73c0dc4499871c36df0ecf1812",
"172333e0ad4341c29dcc500b86f736d9",
"8b1513fac02b42eb95b8d128a47f9a1d",
"737c94dd02b848bc9df5f6d793b0037c",
"c1c82aace2234113b33573976ada97fd",
"b9ae6bf8f7154b2b80a52e0f2eb9c58c",
"84e9a902aedd41deb19167c47bc1dc39",
"b321d057f453452dabac21b2d96ef44e",
"4a3890687f7b466fab0efb7e852b3f97",
"fc41b03c892f4509b6b52e78e4f625a5",
"884eb783f936456b842786b976f7900b",
"88762b69893c4f4b8db2922e32faf65a",
"165779fb2ab143b4bb5a93d37e9e1d6a",
"2506fc6c897242b793a8b4f75e48c8d9",
"925750ef0ef146de9a9522d82922d3cb",
"e278748fdcfd4cdcbad4a3660513be30",
"c19a3624ce1b41199dd3488b986e1fd2",
"22524d3b8cae425c830645c0dbc887e1"
]
},
"id": "QUNvzLiDBiau",
"executionInfo": {
"status": "ok",
"timestamp": 1719062657185,
"user_tz": -180,
"elapsed": 105539,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "6bfaef86-cdb2-4625-8a95-b329f0749393"
},
"id": "QUNvzLiDBiau",
"execution_count": 7,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"config.json: 0%| | 0.00/1.15k [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "54cf9a3847944023b5eb6c4d045908fc"
}
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"==((====))== Unsloth: Fast Llama patching release 2024.6\n",
" \\\\ /| GPU: NVIDIA A100-SXM4-40GB. Max memory: 39.381 GB. Platform = Linux.\n",
"O^O/ \\_/ \\ Pytorch: 2.3.0+cu121. CUDA = 8.0. CUDA Toolkit = 12.1.\n",
"\\ / Bfloat16 = TRUE. Xformers = 0.0.26.post1. FA = False.\n",
" \"-____-\" Free Apache license: http://github.com/unslothai/unsloth\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"model.safetensors: 0%| | 0.00/5.70G [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "0f1252d6f23c4ac7a186de7b44e0e5b7"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"generation_config.json: 0%| | 0.00/131 [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "5871900c457d468e90c8709cf6dfebc6"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"tokenizer_config.json: 0%| | 0.00/51.1k [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "2dfc515b6415485fb8366476af1bcb3a"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"tokenizer.json: 0%| | 0.00/9.09M [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "4a2813d8e26d4cad97f0326297ba6659"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"special_tokens_map.json: 0%| | 0.00/459 [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "b321d057f453452dabac21b2d96ef44e"
}
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# Set up GPU acceleration\n",
"if torch.cuda.device_count() > 1:\n",
" print(\"Multiple GPUs enabled\")\n",
" devices = [f\"cuda:{i}\" for i in range(torch.cuda.device_count())]\n",
" model_parallel = torch.nn.DataParallel(model, device_ids=[0, 1])\n",
" # Access the original model from the DataParallel object\n",
" model = model_parallel.module\n",
"else:\n",
" print(\"No DataParallel \")\n",
" #device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "0klp-rPJBiYD",
"executionInfo": {
"status": "ok",
"timestamp": 1719062710036,
"user_tz": -180,
"elapsed": 746,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "4185fcd5-ab26-48ca-b2cb-ce5d376e7772"
},
"id": "0klp-rPJBiYD",
"execution_count": 9,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"No DataParallel \n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# Setup for QLoRA/LoRA peft of the base model\n",
"model = FastLanguageModel.get_peft_model(\n",
" model,\n",
" r = config.get(\"lora_config\").get(\"r\"),\n",
" target_modules = config.get(\"lora_config\").get(\"target_modules\"),\n",
" lora_alpha = config.get(\"lora_config\").get(\"lora_alpha\"),\n",
" lora_dropout = config.get(\"lora_config\").get(\"lora_dropout\"),\n",
" #task_type = config.get(\"lora_config\").get(\"task_type\"),\n",
" bias = config.get(\"lora_config\").get(\"bias\"),\n",
" use_gradient_checkpointing = config.get(\"lora_config\").get(\"use_gradient_checkpointing\"),\n",
" random_state = config.get(\"training_config\").get(\"seed\"),\n",
" use_rslora = config.get(\"lora_config\").get(\"use_rslora\"),\n",
" use_dora = config.get(\"lora_config\").get(\"use_dora\"),\n",
" loftq_config = config.get(\"lora_config\").get(\"loftq_config\"),\n",
")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "EISRb-ARBiVd",
"executionInfo": {
"status": "ok",
"timestamp": 1719062879081,
"user_tz": -180,
"elapsed": 3231,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "7e4757e1-5bec-457e-bbee-b5a08956acb4"
},
"id": "EISRb-ARBiVd",
"execution_count": 10,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"Unsloth: Dropout = 0 is supported for fast patching. You are using dropout = 0.05.\n",
"Unsloth will patch all other layers, except LoRA matrices, causing a performance hit.\n",
"Unsloth 2024.6 patched 32 layers with 0 QKV layers, 0 O layers and 0 MLP layers.\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"from transformers import AutoModelForCausalLM, BitsAndBytesConfig, AutoTokenizer\n",
"tokenizer = AutoTokenizer.from_pretrained(config.get(\"model_config\").get(\"base_model\"))\n",
"\n",
"\n",
"tokenizer.add_eos_token = True\n",
"tokenizer.pad_token_id = 0\n",
"tokenizer.padding_side = \"left\""
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 130,
"referenced_widgets": [
"9491dfba9d4d43bf8f887862446562d8",
"25fa773a38374a1ea149866cfc148d7e",
"999d1a17ff024eca930f32b9389c3140",
"6d7c71ede1114d71831af08133f7ab3c",
"f2514b81fce343e887aa0c7141c821d6",
"2043c49f8aeb4514823b1009bbd7bfb6",
"49569d9cbea14bf9b174f3e74c699873",
"26a68fedae5248ed998f073c2ae5eb16",
"fe36d29a25b3405ea9c05d4c63e3792e",
"f03dc7337e044579944a1191e30fb67a",
"931248c8cf1043928934dc8cedc69fd2",
"4de8dcd322e545c88efaaa9f887433a5",
"a090147e3a3448418ced482daf24cbb9",
"ab6a126b82764586846279023721f893",
"c7ec69b0fe904066abaee3638fbdeccd",
"a772eb7619bf4f8dabf9f0b1af4d43cd",
"cf75dc26c2d74f0fad1052e6598822b4",
"0496c4a93f9f409ba35562b75af46492",
"60b9a3a8aba442c1a9fef2e4eeeecc8c",
"91d140ec6d5d460d996bdb34e493c929",
"72e7868a82e14e45a14b8fa1e87bf53f",
"d39aec216ebf471ca23fe4b304461cd2",
"fc8012b10ff24666990fdbb69b41dbed",
"8294ebcb8f334eb984028f9f181e21ee",
"0ac41db0969f4f878fdaaa7984890994",
"8c4e4f83a12346ca8d47f46ac03b46cc",
"1bd71c74c631442cbf3e5f6599b120a0",
"a46939b4f3a54891a98646008c6605a4",
"d0ffd7db02df485b8d12336c176b1ec7",
"25bef32000ac4f96892b0cbdf605d7aa",
"14ec01135d504e49a77d07a2bc3fff29",
"d2a12cee32a046a1b69c1c227ea570db",
"913ff6190a1a478d87629d0d67c1af17"
]
},
"id": "4oVEpa_kIpcH",
"executionInfo": {
"status": "ok",
"timestamp": 1719062986375,
"user_tz": -180,
"elapsed": 3864,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "60a6bb60-13b2-4028-82fe-61cd44baeefd"
},
"id": "4oVEpa_kIpcH",
"execution_count": 11,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"tokenizer_config.json: 0%| | 0.00/51.0k [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "9491dfba9d4d43bf8f887862446562d8"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"tokenizer.json: 0%| | 0.00/9.09M [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "4de8dcd322e545c88efaaa9f887433a5"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"special_tokens_map.json: 0%| | 0.00/73.0 [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "fc8012b10ff24666990fdbb69b41dbed"
}
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"train_dataset = load_dataset(\n",
" config_dataset.get(\"training_dataset\").get(\"file_type\"),\n",
" data_files=config_dataset.get(\"training_dataset\").get(\"name\"),\n",
" split = config_dataset.get(\"training_dataset\").get(\"split\")\n",
" )\n",
"train_dataset"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 118,
"referenced_widgets": [
"37e34ad77ebc43bba34c02c1bbd2243a",
"6f686dffedb845e6aaf0661305b0db6f",
"e300fafed4b7482e9cb89361a916207a",
"19599fd2a4054651a1c839758cf3a246",
"05e08d35ab484c9c86371484fc6564fe",
"7339dec3846e45ba9e22d5487ce78d1d",
"9e2e17dd93244381be209a64ad7fad05",
"0f6ef71e5bac4adca3309879718c6cdf",
"2154703768bc4b438ee13819e420aeae",
"0378bfda014e476fac234c5abf944802",
"77aaabbfa6474fc2a9341ed0b062b953"
]
},
"id": "JsF12hHKJN6t",
"executionInfo": {
"status": "ok",
"timestamp": 1719063107278,
"user_tz": -180,
"elapsed": 3604,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "c2406f29-5c33-472b-c7fb-b6d89d22ca4c"
},
"id": "JsF12hHKJN6t",
"execution_count": 12,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"Generating train split: 0 examples [00:00, ? examples/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "37e34ad77ebc43bba34c02c1bbd2243a"
}
},
"metadata": {}
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Dataset({\n",
" features: ['doctor_title', 'doctor_speciality', 'question_content', 'question_answer'],\n",
" num_rows: 167732\n",
"})"
]
},
"metadata": {},
"execution_count": 12
}
]
},
{
"cell_type": "code",
"source": [
"test_dataset = train_dataset.select(range(500))\n",
"test_dataset"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "c1E4hW2OJTP6",
"executionInfo": {
"status": "ok",
"timestamp": 1719063143393,
"user_tz": -180,
"elapsed": 710,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "e1be6567-9d22-493c-f234-e5489a049ed9"
},
"id": "c1E4hW2OJTP6",
"execution_count": 13,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Dataset({\n",
" features: ['doctor_title', 'doctor_speciality', 'question_content', 'question_answer'],\n",
" num_rows: 500\n",
"})"
]
},
"metadata": {},
"execution_count": 13
}
]
},
{
"cell_type": "code",
"source": [
"tr_medikal_prompt = \"\"\"Siz bir AI Medikal Asistan Chatbot'sunuz ve medikal soruları cevaplamak üzere eğitildiniz. Aşağıda, bir görevi tanımlayan bir talimat ve yanıt bağlamı verilmiştir. Talebe uygun bir yanıt yazın.\n",
"\n",
"### Talimat:\n",
"{}\n",
"\n",
"\n",
"### Yanıt:\n",
"{}\"\"\""
],
"metadata": {
"id": "xinSS9wcJTNZ",
"executionInfo": {
"status": "ok",
"timestamp": 1719063229719,
"user_tz": -180,
"elapsed": 754,
"user": {
"displayName": "",
"userId": ""
}
}
},
"id": "xinSS9wcJTNZ",
"execution_count": 14,
"outputs": []
},
{
"cell_type": "code",
"source": [
"tokenizer.eos_token"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"id": "Mx6iBNeOJ5Bw",
"executionInfo": {
"status": "ok",
"timestamp": 1719063256326,
"user_tz": -180,
"elapsed": 756,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "75e2ffa6-e408-4727-ee7a-b7f5702e671b"
},
"id": "Mx6iBNeOJ5Bw",
"execution_count": 15,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"'<|eot_id|>'"
],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
}
},
"metadata": {},
"execution_count": 15
}
]
},
{
"cell_type": "code",
"source": [
"EOS_TOKEN = tokenizer.eos_token # Must add EOS_TOKEN\n",
"def formatting_prompts_func(examples):\n",
" instructions = examples[config_dataset.get(\"training_dataset\").get(\"input_fields\")[0]]\n",
" outputs = examples[config_dataset.get(\"training_dataset\").get(\"input_fields\")[1]]\n",
" texts = []\n",
" for instruction, output in zip(instructions, outputs):\n",
" # Must add EOS_TOKEN, otherwise your generation will go on forever!\n",
" text = tr_medikal_prompt.format(instruction, output) + EOS_TOKEN\n",
" texts.append(text)\n",
" return { \"text\" : texts, }\n",
"pass\n",
"\n",
"test_dataset= test_dataset.map(formatting_prompts_func, batched = True,)\n",
"\n",
"\n",
"\n",
"test_dataset['text'][1]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 137,
"referenced_widgets": [
"739176886a1441e29ea4b823daa3754b",
"b8c8f78ba5ae4ac8a0b884baa63da3bc",
"4f32338f24c14f709984b25a935a92ca",
"5741f5d17c6e49a5baeb39a0ae326af6",
"148b04d6a3f14ba2a4ac50f2aeea4297",
"31248159f45a4a3b91c2d1edf87e6335",
"1adc9b1fdd8943ce8c027fec2e8d4b47",
"e93d80aa04934269a7252df8e6310a2d",
"9b538fbcec6e4f9a837816c11a982363",
"7960760c42d04d7da364bae6f4532968",
"10d5b8ed03f64968b5767753c88f159e"
]
},
"id": "Mv1WPlRCJTK3",
"executionInfo": {
"status": "ok",
"timestamp": 1719063383303,
"user_tz": -180,
"elapsed": 715,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "dad33a34-61a0-4214-8131-e81ea407985f"
},
"id": "Mv1WPlRCJTK3",
"execution_count": 16,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"Map: 0%| | 0/500 [00:00<?, ? examples/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "739176886a1441e29ea4b823daa3754b"
}
},
"metadata": {}
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"\"Siz bir AI Medikal Asistan Chatbot'sunuz ve medikal soruları cevaplamak üzere eğitildiniz. Aşağıda, bir görevi tanımlayan bir talimat ve yanıt bağlamı verilmiştir. Talebe uygun bir yanıt yazın.\\n\\n### Talimat:\\nbir aydır ağzımda geçmeyen ufak bir yara var alt çenemde protezdenmi acaba ne yapmalıyım kötü bir hastalık olur diye korkmaya başladım lütfen beni aydınlatırmısınız meliha özkan\\n\\n\\n### Yanıt:\\nprotez travmasına baglı epulıs gelısebılır yada patolojık bi durum olabılır bulunudugunuz yerde fakulte varsa cene hastalıkları yada cerrahısıne gorunmenız onerılır<|eot_id|>\""
],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
}
},
"metadata": {},
"execution_count": 16
}
]
},
{
"cell_type": "code",
"source": [
"is_test=True\n",
"if is_test:\n",
" train_dataset=test_dataset\n",
"else:\n",
" train_dataset= train_dataset.map(formatting_prompts_func, batched = True)\n",
"len(train_dataset['text'])"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "vR517d18JTId",
"executionInfo": {
"status": "ok",
"timestamp": 1719063427039,
"user_tz": -180,
"elapsed": 753,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "96ddefdd-ab2b-40a3-a9c2-7a804989f751"
},
"id": "vR517d18JTId",
"execution_count": 17,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"500"
]
},
"metadata": {},
"execution_count": 17
}
]
},
{
"cell_type": "code",
"source": [
"# Setting up the trainer for the model\n",
"trainer = SFTTrainer(\n",
" model = model,\n",
" tokenizer = tokenizer,\n",
" train_dataset = train_dataset,\n",
" dataset_text_field = config_dataset.get(\"training_dataset\").get(\"input_field\"),\n",
" max_seq_length = config.get(\"model_config\").get(\"max_seq_length\"),\n",
" dataset_num_proc = 2,\n",
" packing = False,\n",
" args = TrainingArguments(\n",
" per_device_train_batch_size = config.get(\"training_config\").get(\"per_device_train_batch_size\"),\n",
" gradient_accumulation_steps = config.get(\"training_config\").get(\"gradient_accumulation_steps\"),\n",
" warmup_steps = config.get(\"training_config\").get(\"warmup_steps\"),\n",
" max_steps = config.get(\"training_config\").get(\"max_steps\"),\n",
" num_train_epochs= config.get(\"training_config\").get(\"num_train_epochs\"),\n",
" learning_rate = config.get(\"training_config\").get(\"learning_rate\"),\n",
" fp16 = config.get(\"training_config\").get(\"fp16\"),\n",
" bf16 = config.get(\"training_config\").get(\"bf16\"),\n",
" logging_steps = config.get(\"training_config\").get(\"logging_steps\"),\n",
" optim = config.get(\"training_config\").get(\"optim\"),\n",
" weight_decay = config.get(\"training_config\").get(\"weight_decay\"),\n",
" lr_scheduler_type = config.get(\"training_config\").get(\"lr_scheduler_type\"),\n",
" seed = config.get(\"training_config\").get('seed'),\n",
" output_dir = config.get(\"training_config\").get(\"output_dir\"),\n",
" # push_to_hub = config.get(\"training_config\").get(\"push_to_hub\"),\n",
" ),\n",
")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 277,
"referenced_widgets": [
"f7b455df24a54a7d85dd983c9433daea",
"a9c55810c2674da690bcbb3c796b613b",
"be1feba55e9e4fdf929595dc17816ddf",
"8301c3c5c2234eeb820a8542c9a9faf0",
"74e5e6059c6248a3b9cb46b8a05847c2",
"8998678654df4cc684e75002334f2baf",
"5fce3ed179f8441b9d0ee9886631ae6e",
"19933722206f431e9b2edab583ff7ffd",
"8fa24fd662434c6aa5eac3222883406d",
"d4da2299a6c4406eaaab0ec04899e1e4",
"7c9dd611e58549d4a63f4d6678d42a85"
]
},
"id": "TLE4pe7WKn_U",
"executionInfo": {
"status": "ok",
"timestamp": 1719063610517,
"user_tz": -180,
"elapsed": 2180,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "89c9e637-4dcf-44c3-a5fd-d469923c04f7"
},
"id": "TLE4pe7WKn_U",
"execution_count": 19,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.10/dist-packages/transformers/training_args.py:1910: FutureWarning: `--push_to_hub_token` is deprecated and will be removed in version 5 of 🤗 Transformers. Use `--hub_token` instead.\n",
" warnings.warn(\n",
"/usr/local/lib/python3.10/dist-packages/trl/trainer/sft_trainer.py:269: UserWarning: You passed a `max_seq_length` argument to the SFTTrainer, the value you passed will override the one in the `SFTConfig`.\n",
" warnings.warn(\n",
"/usr/local/lib/python3.10/dist-packages/trl/trainer/sft_trainer.py:283: UserWarning: You passed a `dataset_num_proc` argument to the SFTTrainer, the value you passed will override the one in the `SFTConfig`.\n",
" warnings.warn(\n",
"/usr/local/lib/python3.10/dist-packages/trl/trainer/sft_trainer.py:307: UserWarning: You passed a `dataset_text_field` argument to the SFTTrainer, the value you passed will override the one in the `SFTConfig`.\n",
" warnings.warn(\n",
"/usr/local/lib/python3.10/dist-packages/multiprocess/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
" self.pid = os.fork()\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Map (num_proc=2): 0%| | 0/500 [00:00<?, ? examples/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "f7b455df24a54a7d85dd983c9433daea"
}
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.10/dist-packages/trl/trainer/sft_trainer.py:397: UserWarning: You passed a tokenizer with `padding_side` not equal to `right` to the SFTTrainer. This might lead to some unexpected behaviour due to overflow issues when training a model in half-precision. You might consider adding `tokenizer.padding_side = 'right'` to your code.\n",
" warnings.warn(\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# Memory statistics before training\n",
"gpu_statistics = torch.cuda.get_device_properties(0)\n",
"reserved_memory = round(torch.cuda.max_memory_reserved() / 1024**3, 2)\n",
"max_memory = round(gpu_statistics.total_memory / 1024**3, 2)\n",
"print(f\"Reserved Memory: {reserved_memory}GB\")\n",
"print(f\"Max Memory: {max_memory}GB\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "iTjOS9KqLYkZ",
"executionInfo": {
"status": "ok",
"timestamp": 1719063660425,
"user_tz": -180,
"elapsed": 714,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "3c4fbf46-49a5-4d9b-e7b8-dec637fd0998"
},
"id": "iTjOS9KqLYkZ",
"execution_count": 20,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Reserved Memory: 5.52GB\n",
"Max Memory: 39.38GB\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"trainer_stats = trainer.train()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 413
},
"id": "pKnQjhKSKn87",
"executionInfo": {
"status": "ok",
"timestamp": 1719063915264,
"user_tz": -180,
"elapsed": 156880,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "6b4418c7-8cb3-4d01-a5dd-a686b93c65db"
},
"id": "pKnQjhKSKn87",
"execution_count": 21,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1\n",
" \\\\ /| Num examples = 500 | Num Epochs = 2\n",
"O^O/ \\_/ \\ Batch size per device = 16 | Gradient Accumulation steps = 8\n",
"\\ / Total batch size = 128 | Total steps = 8\n",
" \"-____-\" Number of trainable parameters = 20,971,520\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.HTML object>"
],
"text/html": [
"\n",
" <div>\n",
" \n",
" <progress value='8' max='8' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
" [8/8 02:05, Epoch 2/2]\n",
" </div>\n",
" <table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: left;\">\n",
" <th>Step</th>\n",
" <th>Training Loss</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td>1</td>\n",
" <td>4.356100</td>\n",
" </tr>\n",
" <tr>\n",
" <td>2</td>\n",
" <td>4.355800</td>\n",
" </tr>\n",
" <tr>\n",
" <td>3</td>\n",
" <td>4.506100</td>\n",
" </tr>\n",
" <tr>\n",
" <td>4</td>\n",
" <td>4.265300</td>\n",
" </tr>\n",
" <tr>\n",
" <td>5</td>\n",
" <td>4.492000</td>\n",
" </tr>\n",
" <tr>\n",
" <td>6</td>\n",
" <td>4.328200</td>\n",
" </tr>\n",
" <tr>\n",
" <td>7</td>\n",
" <td>4.240900</td>\n",
" </tr>\n",
" <tr>\n",
" <td>8</td>\n",
" <td>4.069100</td>\n",
" </tr>\n",
" </tbody>\n",
"</table><p>"
]
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Memory statistics after training\n",
"used_memory = round(torch.cuda.max_memory_allocated() / 1024**3, 2)\n",
"used_memory_lora = round(used_memory - reserved_memory, 2)\n",
"used_memory_persentage = round((used_memory / max_memory) * 100, 2)\n",
"used_memory_lora_persentage = round((used_memory_lora / max_memory) * 100, 2)\n",
"print(f\"Used Memory: {used_memory}GB ({used_memory_persentage}%)\")\n",
"print(f\"Used Memory for training(fine-tuning) LoRA: {used_memory_lora}GB ({used_memory_lora_persentage}%)\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "dOBvvyyqKn6Y",
"executionInfo": {
"status": "ok",
"timestamp": 1719064101336,
"user_tz": -180,
"elapsed": 756,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "71306f10-9595-49e1-a26a-1722f7d99f6b"
},
"id": "dOBvvyyqKn6Y",
"execution_count": 22,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Used Memory: 18.25GB (46.34%)\n",
"Used Memory for training(fine-tuning) LoRA: 12.73GB (32.33%)\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"from optuna import create_study, Trial\n",
"\n",
"# Define search space\n",
"search_space = {\n",
" \"learning_rate\": [1e-5, 5e-5, 1e-4, 2e-4, 1e-3],\n",
" \"per_device_train_batch_size\": [2, 4, 8],\n",
" \"lora_alpha\": [8, 16, 32],\n",
"}\n",
"\n",
"def objective(trial):\n",
" # Set hyperparameters based on trial values\n",
" config[\"training_config\"][\"learning_rate\"] = trial.suggest_float(\"learning_rate\", search_space[\"learning_rate\"][0], search_space[\"learning_rate\"][-1])\n",
" config[\"training_config\"][\"per_device_train_batch_size\"] = trial.suggest_int(\"per_device_train_batch_size\", search_space[\"per_device_train_batch_size\"][0], search_space[\"per_device_train_batch_size\"][-1])\n",
" config[\"lora_config\"][\"lora_alpha\"] = trial.suggest_int(\"lora_alpha\", search_space[\"lora_alpha\"][0], search_space[\"lora_alpha\"][-1])\n",
"\n",
" # Train the model with the current hyperparameters\n",
" try:\n",
" trainer_stats = trainer_test.train() # Assuming this trains the model\n",
" return trainer_stats[\"train_loss\"] # Assuming this is the metric to minimize\n",
" except Exception as e:\n",
" return float(\"inf\") # Assign a high value if training fails\n",
"\n",
"study = create_study(direction=\"minimize\")\n",
"study.optimize(objective, n_trials=2) # Adjust the number of trials\n",
"\n",
"# Access the best trial and its hyperparameters after optimization\n",
"best_trial = study.best_trial\n",
"best_params = best_trial.params\n",
"\n",
"print(\"Best Trial:\", best_trial.number)\n",
"print(\"Best Hyperparameters:\", best_params)\n",
"print(\"Best Training Loss:\", best_trial.value)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "lHUi1B_LKn3w",
"executionInfo": {
"status": "ok",
"timestamp": 1719064203654,
"user_tz": -180,
"elapsed": 748,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "a90789a4-4212-410b-8e61-dbb87abad856"
},
"id": "lHUi1B_LKn3w",
"execution_count": 23,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"[I 2024-06-22 13:50:02,805] A new study created in memory with name: no-name-9002f2c7-8814-47fc-9170-7aff249d822a\n",
"[I 2024-06-22 13:50:02,809] Trial 0 finished with value: inf and parameters: {'learning_rate': 0.0009142858196147339, 'per_device_train_batch_size': 7, 'lora_alpha': 24}. Best is trial 0 with value: inf.\n",
"[I 2024-06-22 13:50:02,811] Trial 1 finished with value: inf and parameters: {'learning_rate': 0.0002844431028064285, 'per_device_train_batch_size': 2, 'lora_alpha': 22}. Best is trial 0 with value: inf.\n"
]
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Best Trial: 0\n",
"Best Hyperparameters: {'learning_rate': 0.0009142858196147339, 'per_device_train_batch_size': 7, 'lora_alpha': 24}\n",
"Best Training Loss: inf\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# Saving the trainer stats\n",
"with open(\"trainer_stats.json\", \"w\") as f:\n",
" json.dump(trainer_stats, f, indent=4)"
],
"metadata": {
"id": "1Y_KKM2UNRZG",
"executionInfo": {
"status": "ok",
"timestamp": 1719064307546,
"user_tz": -180,
"elapsed": 2048,
"user": {
"displayName": "",
"userId": ""
}
}
},
"id": "1Y_KKM2UNRZG",
"execution_count": 24,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Locally saving the model and pushing it to the Hugging Face Hub (only LoRA adapters)\n",
"# model.save_pretrained(config.get(\"model_config\").get(\"finetuned_model\"))\n",
"model.push_to_hub(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer = tokenizer)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 98,
"referenced_widgets": [
"73b2c357633e4b2cbbc1b2d3d549b797",
"86d0a575fd8c4e119b59372f45d3ad5c",
"028e02fae1fc437e903ed23db63a2919",
"2d074395962349f48a316fe21aa86687",
"b1424bb6710f44ca93d29ad36c36de1c",
"21f18d42b1ca4d068622de3489f0bbf3",
"7f3807024cdf4bc8a63ac37b14e01631",
"61b88b9d68564628bd2787e39a290510",
"c53d4d3795014ff88c6c029ac7b50254",
"a311fbe4d1c04bfd99e524bb4776b7a8",
"d86e4da40c12498ead1a7446923c061f",
"dd33bdea55e74deab395187c8bd4ebc3",
"1d3f37fbd27d47c0a81c6cdb54266f5c",
"84a5243586b9407c91454e671eeb4f84",
"f552447ba76547b3be9aab434d479a5a",
"77a2c9f3b9f6400d8a0035451761c2f6",
"c715b4102a4843d0b36d4b1a3fdce453",
"e3d6c4f2a7ab4f17b4d9256107250442",
"aba51e16d29d462aa13dd5d81a5ec724",
"e97b8e9a43154e6ca55c27cb0679887f",
"0bf642f82be64494b03e1c05970a2cd8",
"a19f6d9a96ca4f479c42cb6952923cf2"
]
},
"id": "Ju6uMfzqNRWj",
"executionInfo": {
"status": "ok",
"timestamp": 1719064379719,
"user_tz": -180,
"elapsed": 16146,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "98a6697b-4785-4c57-b613-5804bc04c3b4"
},
"id": "Ju6uMfzqNRWj",
"execution_count": 25,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"README.md: 0%| | 0.00/594 [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "73b2c357633e4b2cbbc1b2d3d549b797"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"adapter_model.safetensors: 0%| | 0.00/83.9M [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "dd33bdea55e74deab395187c8bd4ebc3"
}
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Saved model to https://huggingface.co/alibayram/Doktor-Llama-3-8b-2\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# Saving the model using merged_16bit(float16), merged_4bit(int4) or quantization options(q8_0, q4_k_m, q5_k_m)...\n",
"# model.save_pretrained_merged(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, save_method = \"merged_16bit\",)\n",
"model.push_to_hub_merged(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, save_method = \"merged_16bit\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 385,
"referenced_widgets": [
"1d1b3a469dfe42eb87fa4c4f6b4098bd",
"af71b9e66c374809b031b7058d48d756",
"93fea8700fcd4a53abc561b08b307755",
"c35221bea0cb4af9a584aa1987644f67",
"dfa9073d29c94802821f0c1d4fe2c858",
"e9c5d8d2a9a6414dbc9428af04f30927",
"1e9fc7beb25d4867ab3d6f39ac013233",
"00b50178dd6b463e9bfdfbefc475d161",
"d2d862aea95040daa4336f030faaf24b",
"6a5c8e59d82b464f9f85e8c7f5c560b8",
"2c3aa91a655c4cf0802235cc1497be75",
"7458fd5ad6bb4dbc8e4d6a1325006d12",
"7639820b32b948a294c7159ebc74a17f",
"f41d85fce5cb4badb78b0f905f7bff38",
"12ee990c4efc4a008b97c4f141dbabf3",
"6245c254c73a475eaee2c200e0e264e8",
"a9a5cd5f8b7644efb49ab7f8109ebf82",
"1c8a1c6b6b0e4bdc9bda61e020c1d57f",
"b8a4776c93314ecc9cfa1a2cf9b6a874",
"6ecac8091cbb4fbd8968984b3e991446",
"05ccd2949269435a927c57d1d0320245",
"96b4d572cbe04135a78997f9ede71e06",
"e15bfcdb79ad4014891a87106c0aa7a1",
"ff01b1594ca04b2983349f71998713a0",
"70b1be4f1d37406287470206e2bcfc14",
"897341fdb52b4950a4cfc0cec5d45660",
"732754acdcae410c9431b30b5415591c",
"cec874adaff64030a65953ad715aadb4",
"83b771f3298d44d09829fa53b5395fbd",
"87379f93fc1f4c68a331ce22d776a48e",
"6869a16f273c47f9ab0a77c40cd79896",
"ba3d43b429624d15b4cf7214211e75e4",
"e122e1528ea547e9a1f48bdd178c52c7",
"9277fee6c55c487fb27a465217aec5bd",
"00c8784dc73243268d012f75172b5e95",
"ec5177f9e05d4c9b87d949a6490ab732",
"b63fac95bbd840aaacbd98268f0b9a75",
"aee503c2b7bd4d9aa100c86968db4a70",
"5332f828ed1a4bfbacaa85fe4145ed8c",
"205e73911df947488044334c712a1d1d",
"1317d39b44ce4666b92b85136335a74f",
"6583d80cf6c04a39893de42a9c1c6c39",
"d0ee616ff8994b9f94ee5fb855e60b22",
"dcfa652a8b964c7189ec5fcfe6c677de",
"91516d94f38d4bf19a362edb56f5eef0",
"ec14df270da04814ad23cf9c409f5ba9",
"aff896e165f84488bfa17a1f5fb30f6f",
"650b9ee4b3bb4b09bae6b91cca541664",
"c0efe67ed40248d0ae2d4c6adeb5f838",
"813a93a3408044c4b0428a7b1b65a703",
"dde59c494d784b2d860560aca2225739",
"9df4232f2e124426a769db46ff9b1c22",
"53063d4da42c4854a3934855214f59dd",
"af420dfb37174044adfd371362dc4fe5",
"01b338018fcd4a3fa97c56599b54b5de"
]
},
"id": "COox_hS4NRT7",
"executionInfo": {
"status": "ok",
"timestamp": 1719064770057,
"user_tz": -180,
"elapsed": 286062,
"user": {
"displayName": "",
"userId": ""
}
},
"outputId": "aba5f690-61d6-4ca9-e23a-8d22c23a7ca5"
},
"id": "COox_hS4NRT7",
"execution_count": 26,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"Unsloth: You are pushing to hub, but you passed your HF username = alibayram.\n",
"We shall truncate alibayram/Doktor-Llama-3-8b-2 to Doktor-Llama-3-8b-2\n",
"Unsloth: Kaggle/Colab has limited disk space. We need to delete the downloaded\n",
"model which will save 4-16GB of disk space, allowing you to save on Kaggle/Colab.\n",
"Unsloth: Will remove a cached repo with size 5.7G\n"
]
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Unsloth: Merging 4bit and LoRA weights to 16bit...\n",
"Unsloth: Will use up to 56.16 out of 83.48 RAM for saving.\n"
]
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"100%|██████████| 32/32 [00:00<00:00, 43.29it/s]\n"
]
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Unsloth: Saving tokenizer... Done.\n",
"Unsloth: Saving model... This might take 5 minutes for Llama-7b...\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"model-00001-of-00004.safetensors: 0%| | 0.00/4.98G [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "1d1b3a469dfe42eb87fa4c4f6b4098bd"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"model-00004-of-00004.safetensors: 0%| | 0.00/1.17G [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "7458fd5ad6bb4dbc8e4d6a1325006d12"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"model-00003-of-00004.safetensors: 0%| | 0.00/4.92G [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "e15bfcdb79ad4014891a87106c0aa7a1"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"model-00002-of-00004.safetensors: 0%| | 0.00/5.00G [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "9277fee6c55c487fb27a465217aec5bd"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Upload 4 LFS files: 0%| | 0/4 [00:00<?, ?it/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "91516d94f38d4bf19a362edb56f5eef0"
}
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Done.\n",
"Saved merged model to https://huggingface.co/alibayram/Doktor-Llama-3-8b-2\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"try:\n",
" # model.save_pretrained_merged(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, save_method = \"merged_4bit\",)\n",
" model.push_to_hub_merged(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, save_method = \"merged_4bit\")\n",
"except Exception as e:\n",
" print(e)\n",
"\n",
"try:\n",
" # model.save_pretrained_gguf(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer)\n",
" model.push_to_hub_gguf(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer)\n",
"except Exception as e:\n",
" print(e)\n",
"\n",
"try:\n",
" # model.save_pretrained_gguf(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, quantization_method = \"f16\")\n",
" model.push_to_hub_gguf(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, quantization_method = \"f16\")\n",
"except Exception as e:\n",
" print(e)\n",
"\n",
"try:\n",
" # model.save_pretrained_gguf(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, quantization_method = \"q4_k_m\")\n",
" model.push_to_hub_gguf(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, quantization_method = \"q4_k_m\")\n",
"except Exception as e:\n",
" print(e)"
],
"metadata": {
"id": "zcSNDrLeNRRW"
},
"id": "zcSNDrLeNRRW",
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "w89I2SdENRPO"
},
"id": "w89I2SdENRPO",
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "7sZeYeaKNRMa"
},
"id": "7sZeYeaKNRMa",
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "bxtio-CgJTGD"
},
"id": "bxtio-CgJTGD",
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "5kc4U-6UJTDv"
},
"id": "5kc4U-6UJTDv",
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "Dp8W8FRGJTBB"
},
"id": "Dp8W8FRGJTBB",
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "NiCIGqwlJSeQ"
},
"id": "NiCIGqwlJSeQ",
"execution_count": null,
"outputs": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.10"
},
"colab": {
"provenance": [],
"name": "ali.bayram (Jun 22, 2024, 3:49:12 PM)"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"bc7cf067a7e94f7993ea06c9d35da4fe": {
"model_module": "@jupyter-widgets/controls",
"model_name": "VBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "VBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "VBoxView",
"box_style": "",
"children": [
"IPY_MODEL_3fe3c9a7cacc4f7b89c127908dcb5c2d",
"IPY_MODEL_7c42e6bc8c0546cbb58003d52222d0d6",
"IPY_MODEL_91a99911c63d46948ff16f1b1ec7eba3",
"IPY_MODEL_7d2451abdfd848d3934e50a028addbfe"
],
"layout": "IPY_MODEL_bcebbabe26694d2d8adec743b8e4bb62"
}
},
"12af06c6067e4045bd693e03588acc13": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_01e5ee608f134a9aa32a135ca5ef0a97",
"placeholder": "​",
"style": "IPY_MODEL_492d50c612b843a1a8d7846a1d7e0157",
"value": "<center> <img\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.svg\nalt='Hugging Face'> <br> Copy a token from <a\nhref=\"https://huggingface.co/settings/tokens\" target=\"_blank\">your Hugging Face\ntokens page</a> and paste it below. <br> Immediately click login after copying\nyour token or it might be stored in plain text in this notebook file. </center>"
}
},
"d46fdbe4a6cb4e6385a1571d11e29e03": {
"model_module": "@jupyter-widgets/controls",
"model_name": "PasswordModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "PasswordModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "PasswordView",
"continuous_update": true,
"description": "Token:",
"description_tooltip": null,
"disabled": false,
"layout": "IPY_MODEL_f333e261c77346b5a61ec5ed8967c7e9",
"placeholder": "​",
"style": "IPY_MODEL_3eb389cbef254f5a913f896da30a3dd1",
"value": ""
}
},
"cd115c6826c44c429f28e3228c3c0a77": {
"model_module": "@jupyter-widgets/controls",
"model_name": "CheckboxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "CheckboxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "CheckboxView",
"description": "Add token as git credential?",
"description_tooltip": null,
"disabled": false,
"indent": true,
"layout": "IPY_MODEL_6af50ee84d6a4b108e16be03bdae67af",
"style": "IPY_MODEL_218c50548a61438cbe00c2d6eee33c7a",
"value": true
}
},
"1e89e4fa9aab4ea2991b2e0a8d0aced9": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ButtonModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ButtonModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ButtonView",
"button_style": "",
"description": "Login",
"disabled": false,
"icon": "",
"layout": "IPY_MODEL_b160a2ec4f7e4deeace9b52c5a797eb6",
"style": "IPY_MODEL_0c0ff8618eb44ec88a70b476cc4eab8b",
"tooltip": ""
}
},
"2f46c5fca7594f06b2f8de576e8e5964": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_1633ffac0f804fd9a796eee645dfd802",
"placeholder": "​",
"style": "IPY_MODEL_4b54976a3ee94639aecb27da799631b2",
"value": "\n<b>Pro Tip:</b> If you don't already have one, you can create a dedicated\n'notebooks' token with 'write' access, that you can then easily reuse for all\nnotebooks. </center>"
}
},
"bcebbabe26694d2d8adec743b8e4bb62": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": "center",
"align_self": null,
"border": null,
"bottom": null,
"display": "flex",
"flex": null,
"flex_flow": "column",
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": "50%"
}
},
"01e5ee608f134a9aa32a135ca5ef0a97": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"492d50c612b843a1a8d7846a1d7e0157": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"f333e261c77346b5a61ec5ed8967c7e9": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"3eb389cbef254f5a913f896da30a3dd1": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"6af50ee84d6a4b108e16be03bdae67af": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"218c50548a61438cbe00c2d6eee33c7a": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"b160a2ec4f7e4deeace9b52c5a797eb6": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"0c0ff8618eb44ec88a70b476cc4eab8b": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ButtonStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ButtonStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"button_color": null,
"font_weight": ""
}
},
"1633ffac0f804fd9a796eee645dfd802": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"4b54976a3ee94639aecb27da799631b2": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"be07f59a9106482d8b0a76475f1495f5": {
"model_module": "@jupyter-widgets/controls",
"model_name": "LabelModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "LabelModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "LabelView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_5daf8d78f8d340a09f625de149cf6f46",
"placeholder": "​",
"style": "IPY_MODEL_624acf848a1f48daa4fb5409a87d4219",
"value": "Connecting..."
}
},
"5daf8d78f8d340a09f625de149cf6f46": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"624acf848a1f48daa4fb5409a87d4219": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"3fe3c9a7cacc4f7b89c127908dcb5c2d": {
"model_module": "@jupyter-widgets/controls",
"model_name": "LabelModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "LabelModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "LabelView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_e91f9d6e36f44b3396e39d3e817650db",
"placeholder": "​",
"style": "IPY_MODEL_bae8aecddff342ce8bd7f48140e9242b",
"value": "Token is valid (permission: write)."
}
},
"7c42e6bc8c0546cbb58003d52222d0d6": {
"model_module": "@jupyter-widgets/controls",
"model_name": "LabelModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "LabelModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "LabelView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_84d6978ea6bb42d4b29a96c52fd05224",
"placeholder": "​",
"style": "IPY_MODEL_45ff8f892d82404d836e90cb7c2ea9b5",
"value": "Your token has been saved in your configured git credential helpers (store)."
}
},
"91a99911c63d46948ff16f1b1ec7eba3": {
"model_module": "@jupyter-widgets/controls",
"model_name": "LabelModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "LabelModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "LabelView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_948cb2d9477643bdafbd995e1b6b894a",
"placeholder": "​",
"style": "IPY_MODEL_60432ef7b65b447fbf597d2573e5cf97",
"value": "Your token has been saved to /root/.cache/huggingface/token"
}
},
"7d2451abdfd848d3934e50a028addbfe": {
"model_module": "@jupyter-widgets/controls",
"model_name": "LabelModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "LabelModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "LabelView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_6ea1e5e9598a4207a063f7dff2dcf951",
"placeholder": "​",
"style": "IPY_MODEL_b9b5860606504c93b97d69788a012544",
"value": "Login successful"
}
},
"e91f9d6e36f44b3396e39d3e817650db": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"bae8aecddff342ce8bd7f48140e9242b": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"84d6978ea6bb42d4b29a96c52fd05224": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"45ff8f892d82404d836e90cb7c2ea9b5": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"948cb2d9477643bdafbd995e1b6b894a": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"60432ef7b65b447fbf597d2573e5cf97": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"6ea1e5e9598a4207a063f7dff2dcf951": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"b9b5860606504c93b97d69788a012544": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"54cf9a3847944023b5eb6c4d045908fc": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_4a434fa776cc4cf69f0def2e82bba80e",
"IPY_MODEL_acd0a35eb7e044b78ec2476b53870ab4",
"IPY_MODEL_98a5cbb9e1fe49d585cc146735ce8063"
],
"layout": "IPY_MODEL_edb956929e9947c99ce6e1cdd72a0430"
}
},
"4a434fa776cc4cf69f0def2e82bba80e": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_6aeb181b49044f47ab6013cd66f052b1",
"placeholder": "​",
"style": "IPY_MODEL_c86cff2416f7420d9b752b3563841c91",
"value": "config.json: 100%"
}
},
"acd0a35eb7e044b78ec2476b53870ab4": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_0d36f80c97014ba7a7eee6afb78aae04",
"max": 1149,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_5fd807772b294792b2a9e5ed7559dffe",
"value": 1149
}
},
"98a5cbb9e1fe49d585cc146735ce8063": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_1a232c1ecd8b4ebc87e315f2e222f648",
"placeholder": "​",
"style": "IPY_MODEL_98b8ba6d1cc34309a77f0b6f6a005051",
"value": " 1.15k/1.15k [00:00&lt;00:00, 92.2kB/s]"
}
},
"edb956929e9947c99ce6e1cdd72a0430": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"6aeb181b49044f47ab6013cd66f052b1": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"c86cff2416f7420d9b752b3563841c91": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"0d36f80c97014ba7a7eee6afb78aae04": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"5fd807772b294792b2a9e5ed7559dffe": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"1a232c1ecd8b4ebc87e315f2e222f648": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"98b8ba6d1cc34309a77f0b6f6a005051": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"0f1252d6f23c4ac7a186de7b44e0e5b7": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_53e7f03966464773a7f922820aa43563",
"IPY_MODEL_8dd5a76db35a40c4973c34a9e3183d7f",
"IPY_MODEL_8b53885013fc4e5e86f54edac812e741"
],
"layout": "IPY_MODEL_1c235da1ca524ad99a94c9c327cb678b"
}
},
"53e7f03966464773a7f922820aa43563": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_7be4c4c7fc994e9b84e232dd4ced810e",
"placeholder": "​",
"style": "IPY_MODEL_b76a214ad32c4dec86a76c05726111f5",
"value": "model.safetensors: 100%"
}
},
"8dd5a76db35a40c4973c34a9e3183d7f": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_02fc2cc64a404401a529a679d308067b",
"max": 5702746403,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_be42c6acfcf746cfb1b5d9d7365b61b3",
"value": 5702746403
}
},
"8b53885013fc4e5e86f54edac812e741": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_db85d9c0e3eb4da6a238eacfbe65bdcf",
"placeholder": "​",
"style": "IPY_MODEL_3e493a8c46cd4bc79903b709c6d9a69b",
"value": " 5.70G/5.70G [01:30&lt;00:00, 63.7MB/s]"
}
},
"1c235da1ca524ad99a94c9c327cb678b": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"7be4c4c7fc994e9b84e232dd4ced810e": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"b76a214ad32c4dec86a76c05726111f5": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"02fc2cc64a404401a529a679d308067b": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"be42c6acfcf746cfb1b5d9d7365b61b3": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"db85d9c0e3eb4da6a238eacfbe65bdcf": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"3e493a8c46cd4bc79903b709c6d9a69b": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"5871900c457d468e90c8709cf6dfebc6": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_19958d3d305541af91eb8984962c7cae",
"IPY_MODEL_345136eeda1341ea9a6b1243db3aa42a",
"IPY_MODEL_6aedc73283a648aea384000d6a7cc97b"
],
"layout": "IPY_MODEL_64aefd4aedcc44839d6f81f793136a1e"
}
},
"19958d3d305541af91eb8984962c7cae": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_7c4333c462964aa49d12bcbd9d2ade5a",
"placeholder": "​",
"style": "IPY_MODEL_5f72354416c045c7983607424c9bc8d4",
"value": "generation_config.json: 100%"
}
},
"345136eeda1341ea9a6b1243db3aa42a": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_87947ff104534d06864eb7794b3a4e82",
"max": 131,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_f70253b9e46241b38b5612c3cd677428",
"value": 131
}
},
"6aedc73283a648aea384000d6a7cc97b": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_d482cda263374122b6a686c191966ea2",
"placeholder": "​",
"style": "IPY_MODEL_0c6e24fc0b7f46c881e421ae01fa5ab5",
"value": " 131/131 [00:00&lt;00:00, 9.99kB/s]"
}
},
"64aefd4aedcc44839d6f81f793136a1e": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"7c4333c462964aa49d12bcbd9d2ade5a": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"5f72354416c045c7983607424c9bc8d4": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"87947ff104534d06864eb7794b3a4e82": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"f70253b9e46241b38b5612c3cd677428": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"d482cda263374122b6a686c191966ea2": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"0c6e24fc0b7f46c881e421ae01fa5ab5": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"2dfc515b6415485fb8366476af1bcb3a": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_89ed05d69798498d9c7afdfd271a8b47",
"IPY_MODEL_58f6a95489024815967728772d2165f8",
"IPY_MODEL_5479db92eab8411fb2f0c450a918a57c"
],
"layout": "IPY_MODEL_b36849f384334510852048bd4a52026d"
}
},
"89ed05d69798498d9c7afdfd271a8b47": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_caef05d1888d4c7087ac1f4869d982a8",
"placeholder": "​",
"style": "IPY_MODEL_7daa0b37127d4d0d9046a1b5158831ce",
"value": "tokenizer_config.json: 100%"
}
},
"58f6a95489024815967728772d2165f8": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_7e468db20fa544eb854bee8ed8a6279a",
"max": 51052,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_84427507156d41e186244b6e7edef5d8",
"value": 51052
}
},
"5479db92eab8411fb2f0c450a918a57c": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_dcc4ce9ebc77444f8a90a38c57a49b0f",
"placeholder": "​",
"style": "IPY_MODEL_ce59b233906245a6b32e43d1e5898051",
"value": " 51.1k/51.1k [00:00&lt;00:00, 3.69MB/s]"
}
},
"b36849f384334510852048bd4a52026d": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"caef05d1888d4c7087ac1f4869d982a8": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"7daa0b37127d4d0d9046a1b5158831ce": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"7e468db20fa544eb854bee8ed8a6279a": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"84427507156d41e186244b6e7edef5d8": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"dcc4ce9ebc77444f8a90a38c57a49b0f": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"ce59b233906245a6b32e43d1e5898051": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"4a2813d8e26d4cad97f0326297ba6659": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_1018970cb1b240d0a91805d4ca15adf6",
"IPY_MODEL_ae8cf4f09d1449ce8834ae5b7e0bf4d9",
"IPY_MODEL_2769525725a346b6ac431319569bc9a2"
],
"layout": "IPY_MODEL_3024ae73c0dc4499871c36df0ecf1812"
}
},
"1018970cb1b240d0a91805d4ca15adf6": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_172333e0ad4341c29dcc500b86f736d9",
"placeholder": "​",
"style": "IPY_MODEL_8b1513fac02b42eb95b8d128a47f9a1d",
"value": "tokenizer.json: 100%"
}
},
"ae8cf4f09d1449ce8834ae5b7e0bf4d9": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_737c94dd02b848bc9df5f6d793b0037c",
"max": 9085698,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_c1c82aace2234113b33573976ada97fd",
"value": 9085698
}
},
"2769525725a346b6ac431319569bc9a2": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_b9ae6bf8f7154b2b80a52e0f2eb9c58c",
"placeholder": "​",
"style": "IPY_MODEL_84e9a902aedd41deb19167c47bc1dc39",
"value": " 9.09M/9.09M [00:01&lt;00:00, 6.71MB/s]"
}
},
"3024ae73c0dc4499871c36df0ecf1812": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"172333e0ad4341c29dcc500b86f736d9": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"8b1513fac02b42eb95b8d128a47f9a1d": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"737c94dd02b848bc9df5f6d793b0037c": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"c1c82aace2234113b33573976ada97fd": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"b9ae6bf8f7154b2b80a52e0f2eb9c58c": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"84e9a902aedd41deb19167c47bc1dc39": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"b321d057f453452dabac21b2d96ef44e": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_4a3890687f7b466fab0efb7e852b3f97",
"IPY_MODEL_fc41b03c892f4509b6b52e78e4f625a5",
"IPY_MODEL_884eb783f936456b842786b976f7900b"
],
"layout": "IPY_MODEL_88762b69893c4f4b8db2922e32faf65a"
}
},
"4a3890687f7b466fab0efb7e852b3f97": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_165779fb2ab143b4bb5a93d37e9e1d6a",
"placeholder": "​",
"style": "IPY_MODEL_2506fc6c897242b793a8b4f75e48c8d9",
"value": "special_tokens_map.json: 100%"
}
},
"fc41b03c892f4509b6b52e78e4f625a5": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_925750ef0ef146de9a9522d82922d3cb",
"max": 459,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_e278748fdcfd4cdcbad4a3660513be30",
"value": 459
}
},
"884eb783f936456b842786b976f7900b": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_c19a3624ce1b41199dd3488b986e1fd2",
"placeholder": "​",
"style": "IPY_MODEL_22524d3b8cae425c830645c0dbc887e1",
"value": " 459/459 [00:00&lt;00:00, 30.9kB/s]"
}
},
"88762b69893c4f4b8db2922e32faf65a": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"165779fb2ab143b4bb5a93d37e9e1d6a": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"2506fc6c897242b793a8b4f75e48c8d9": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"925750ef0ef146de9a9522d82922d3cb": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"e278748fdcfd4cdcbad4a3660513be30": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"c19a3624ce1b41199dd3488b986e1fd2": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"22524d3b8cae425c830645c0dbc887e1": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"9491dfba9d4d43bf8f887862446562d8": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_25fa773a38374a1ea149866cfc148d7e",
"IPY_MODEL_999d1a17ff024eca930f32b9389c3140",
"IPY_MODEL_6d7c71ede1114d71831af08133f7ab3c"
],
"layout": "IPY_MODEL_f2514b81fce343e887aa0c7141c821d6"
}
},
"25fa773a38374a1ea149866cfc148d7e": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_2043c49f8aeb4514823b1009bbd7bfb6",
"placeholder": "​",
"style": "IPY_MODEL_49569d9cbea14bf9b174f3e74c699873",
"value": "tokenizer_config.json: 100%"
}
},
"999d1a17ff024eca930f32b9389c3140": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_26a68fedae5248ed998f073c2ae5eb16",
"max": 50977,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_fe36d29a25b3405ea9c05d4c63e3792e",
"value": 50977
}
},
"6d7c71ede1114d71831af08133f7ab3c": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_f03dc7337e044579944a1191e30fb67a",
"placeholder": "​",
"style": "IPY_MODEL_931248c8cf1043928934dc8cedc69fd2",
"value": " 51.0k/51.0k [00:00&lt;00:00, 275kB/s]"
}
},
"f2514b81fce343e887aa0c7141c821d6": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"2043c49f8aeb4514823b1009bbd7bfb6": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"49569d9cbea14bf9b174f3e74c699873": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"26a68fedae5248ed998f073c2ae5eb16": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"fe36d29a25b3405ea9c05d4c63e3792e": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"f03dc7337e044579944a1191e30fb67a": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"931248c8cf1043928934dc8cedc69fd2": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"4de8dcd322e545c88efaaa9f887433a5": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_a090147e3a3448418ced482daf24cbb9",
"IPY_MODEL_ab6a126b82764586846279023721f893",
"IPY_MODEL_c7ec69b0fe904066abaee3638fbdeccd"
],
"layout": "IPY_MODEL_a772eb7619bf4f8dabf9f0b1af4d43cd"
}
},
"a090147e3a3448418ced482daf24cbb9": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_cf75dc26c2d74f0fad1052e6598822b4",
"placeholder": "​",
"style": "IPY_MODEL_0496c4a93f9f409ba35562b75af46492",
"value": "tokenizer.json: 100%"
}
},
"ab6a126b82764586846279023721f893": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_60b9a3a8aba442c1a9fef2e4eeeecc8c",
"max": 9085698,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_91d140ec6d5d460d996bdb34e493c929",
"value": 9085698
}
},
"c7ec69b0fe904066abaee3638fbdeccd": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_72e7868a82e14e45a14b8fa1e87bf53f",
"placeholder": "​",
"style": "IPY_MODEL_d39aec216ebf471ca23fe4b304461cd2",
"value": " 9.09M/9.09M [00:01&lt;00:00, 8.04MB/s]"
}
},
"a772eb7619bf4f8dabf9f0b1af4d43cd": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"cf75dc26c2d74f0fad1052e6598822b4": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"0496c4a93f9f409ba35562b75af46492": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"60b9a3a8aba442c1a9fef2e4eeeecc8c": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"91d140ec6d5d460d996bdb34e493c929": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"72e7868a82e14e45a14b8fa1e87bf53f": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"d39aec216ebf471ca23fe4b304461cd2": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"fc8012b10ff24666990fdbb69b41dbed": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_8294ebcb8f334eb984028f9f181e21ee",
"IPY_MODEL_0ac41db0969f4f878fdaaa7984890994",
"IPY_MODEL_8c4e4f83a12346ca8d47f46ac03b46cc"
],
"layout": "IPY_MODEL_1bd71c74c631442cbf3e5f6599b120a0"
}
},
"8294ebcb8f334eb984028f9f181e21ee": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_a46939b4f3a54891a98646008c6605a4",
"placeholder": "​",
"style": "IPY_MODEL_d0ffd7db02df485b8d12336c176b1ec7",
"value": "special_tokens_map.json: 100%"
}
},
"0ac41db0969f4f878fdaaa7984890994": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_25bef32000ac4f96892b0cbdf605d7aa",
"max": 73,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_14ec01135d504e49a77d07a2bc3fff29",
"value": 73
}
},
"8c4e4f83a12346ca8d47f46ac03b46cc": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_d2a12cee32a046a1b69c1c227ea570db",
"placeholder": "​",
"style": "IPY_MODEL_913ff6190a1a478d87629d0d67c1af17",
"value": " 73.0/73.0 [00:00&lt;00:00, 6.07kB/s]"
}
},
"1bd71c74c631442cbf3e5f6599b120a0": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"a46939b4f3a54891a98646008c6605a4": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"d0ffd7db02df485b8d12336c176b1ec7": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"25bef32000ac4f96892b0cbdf605d7aa": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"14ec01135d504e49a77d07a2bc3fff29": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"d2a12cee32a046a1b69c1c227ea570db": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"913ff6190a1a478d87629d0d67c1af17": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"37e34ad77ebc43bba34c02c1bbd2243a": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_6f686dffedb845e6aaf0661305b0db6f",
"IPY_MODEL_e300fafed4b7482e9cb89361a916207a",
"IPY_MODEL_19599fd2a4054651a1c839758cf3a246"
],
"layout": "IPY_MODEL_05e08d35ab484c9c86371484fc6564fe"
}
},
"6f686dffedb845e6aaf0661305b0db6f": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_7339dec3846e45ba9e22d5487ce78d1d",
"placeholder": "​",
"style": "IPY_MODEL_9e2e17dd93244381be209a64ad7fad05",
"value": "Generating train split: "
}
},
"e300fafed4b7482e9cb89361a916207a": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_0f6ef71e5bac4adca3309879718c6cdf",
"max": 1,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_2154703768bc4b438ee13819e420aeae",
"value": 1
}
},
"19599fd2a4054651a1c839758cf3a246": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_0378bfda014e476fac234c5abf944802",
"placeholder": "​",
"style": "IPY_MODEL_77aaabbfa6474fc2a9341ed0b062b953",
"value": " 167732/0 [00:02&lt;00:00, 68377.99 examples/s]"
}
},
"05e08d35ab484c9c86371484fc6564fe": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"7339dec3846e45ba9e22d5487ce78d1d": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"9e2e17dd93244381be209a64ad7fad05": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"0f6ef71e5bac4adca3309879718c6cdf": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": "20px"
}
},
"2154703768bc4b438ee13819e420aeae": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"0378bfda014e476fac234c5abf944802": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"77aaabbfa6474fc2a9341ed0b062b953": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"739176886a1441e29ea4b823daa3754b": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_b8c8f78ba5ae4ac8a0b884baa63da3bc",
"IPY_MODEL_4f32338f24c14f709984b25a935a92ca",
"IPY_MODEL_5741f5d17c6e49a5baeb39a0ae326af6"
],
"layout": "IPY_MODEL_148b04d6a3f14ba2a4ac50f2aeea4297"
}
},
"b8c8f78ba5ae4ac8a0b884baa63da3bc": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_31248159f45a4a3b91c2d1edf87e6335",
"placeholder": "​",
"style": "IPY_MODEL_1adc9b1fdd8943ce8c027fec2e8d4b47",
"value": "Map: 100%"
}
},
"4f32338f24c14f709984b25a935a92ca": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_e93d80aa04934269a7252df8e6310a2d",
"max": 500,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_9b538fbcec6e4f9a837816c11a982363",
"value": 500
}
},
"5741f5d17c6e49a5baeb39a0ae326af6": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_7960760c42d04d7da364bae6f4532968",
"placeholder": "​",
"style": "IPY_MODEL_10d5b8ed03f64968b5767753c88f159e",
"value": " 500/500 [00:00&lt;00:00, 17352.05 examples/s]"
}
},
"148b04d6a3f14ba2a4ac50f2aeea4297": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"31248159f45a4a3b91c2d1edf87e6335": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"1adc9b1fdd8943ce8c027fec2e8d4b47": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"e93d80aa04934269a7252df8e6310a2d": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"9b538fbcec6e4f9a837816c11a982363": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"7960760c42d04d7da364bae6f4532968": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"10d5b8ed03f64968b5767753c88f159e": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"f7b455df24a54a7d85dd983c9433daea": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_a9c55810c2674da690bcbb3c796b613b",
"IPY_MODEL_be1feba55e9e4fdf929595dc17816ddf",
"IPY_MODEL_8301c3c5c2234eeb820a8542c9a9faf0"
],
"layout": "IPY_MODEL_74e5e6059c6248a3b9cb46b8a05847c2"
}
},
"a9c55810c2674da690bcbb3c796b613b": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_8998678654df4cc684e75002334f2baf",
"placeholder": "​",
"style": "IPY_MODEL_5fce3ed179f8441b9d0ee9886631ae6e",
"value": "Map (num_proc=2): 100%"
}
},
"be1feba55e9e4fdf929595dc17816ddf": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_19933722206f431e9b2edab583ff7ffd",
"max": 500,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_8fa24fd662434c6aa5eac3222883406d",
"value": 500
}
},
"8301c3c5c2234eeb820a8542c9a9faf0": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_d4da2299a6c4406eaaab0ec04899e1e4",
"placeholder": "​",
"style": "IPY_MODEL_7c9dd611e58549d4a63f4d6678d42a85",
"value": " 500/500 [00:01&lt;00:00, 512.02 examples/s]"
}
},
"74e5e6059c6248a3b9cb46b8a05847c2": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"8998678654df4cc684e75002334f2baf": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"5fce3ed179f8441b9d0ee9886631ae6e": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"19933722206f431e9b2edab583ff7ffd": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"8fa24fd662434c6aa5eac3222883406d": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"d4da2299a6c4406eaaab0ec04899e1e4": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"7c9dd611e58549d4a63f4d6678d42a85": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"73b2c357633e4b2cbbc1b2d3d549b797": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_86d0a575fd8c4e119b59372f45d3ad5c",
"IPY_MODEL_028e02fae1fc437e903ed23db63a2919",
"IPY_MODEL_2d074395962349f48a316fe21aa86687"
],
"layout": "IPY_MODEL_b1424bb6710f44ca93d29ad36c36de1c"
}
},
"86d0a575fd8c4e119b59372f45d3ad5c": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_21f18d42b1ca4d068622de3489f0bbf3",
"placeholder": "​",
"style": "IPY_MODEL_7f3807024cdf4bc8a63ac37b14e01631",
"value": "README.md: 100%"
}
},
"028e02fae1fc437e903ed23db63a2919": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_61b88b9d68564628bd2787e39a290510",
"max": 594,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_c53d4d3795014ff88c6c029ac7b50254",
"value": 594
}
},
"2d074395962349f48a316fe21aa86687": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_a311fbe4d1c04bfd99e524bb4776b7a8",
"placeholder": "​",
"style": "IPY_MODEL_d86e4da40c12498ead1a7446923c061f",
"value": " 594/594 [00:00&lt;00:00, 48.2kB/s]"
}
},
"b1424bb6710f44ca93d29ad36c36de1c": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"21f18d42b1ca4d068622de3489f0bbf3": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"7f3807024cdf4bc8a63ac37b14e01631": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"61b88b9d68564628bd2787e39a290510": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"c53d4d3795014ff88c6c029ac7b50254": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"a311fbe4d1c04bfd99e524bb4776b7a8": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"d86e4da40c12498ead1a7446923c061f": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"dd33bdea55e74deab395187c8bd4ebc3": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_1d3f37fbd27d47c0a81c6cdb54266f5c",
"IPY_MODEL_84a5243586b9407c91454e671eeb4f84",
"IPY_MODEL_f552447ba76547b3be9aab434d479a5a"
],
"layout": "IPY_MODEL_77a2c9f3b9f6400d8a0035451761c2f6"
}
},
"1d3f37fbd27d47c0a81c6cdb54266f5c": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_c715b4102a4843d0b36d4b1a3fdce453",
"placeholder": "​",
"style": "IPY_MODEL_e3d6c4f2a7ab4f17b4d9256107250442",
"value": "adapter_model.safetensors: 100%"
}
},
"84a5243586b9407c91454e671eeb4f84": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_aba51e16d29d462aa13dd5d81a5ec724",
"max": 83945296,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_e97b8e9a43154e6ca55c27cb0679887f",
"value": 83945296
}
},
"f552447ba76547b3be9aab434d479a5a": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_0bf642f82be64494b03e1c05970a2cd8",
"placeholder": "​",
"style": "IPY_MODEL_a19f6d9a96ca4f479c42cb6952923cf2",
"value": " 83.9M/83.9M [00:09&lt;00:00, 10.1MB/s]"
}
},
"77a2c9f3b9f6400d8a0035451761c2f6": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"c715b4102a4843d0b36d4b1a3fdce453": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"e3d6c4f2a7ab4f17b4d9256107250442": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"aba51e16d29d462aa13dd5d81a5ec724": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"e97b8e9a43154e6ca55c27cb0679887f": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"0bf642f82be64494b03e1c05970a2cd8": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"a19f6d9a96ca4f479c42cb6952923cf2": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"1d1b3a469dfe42eb87fa4c4f6b4098bd": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_af71b9e66c374809b031b7058d48d756",
"IPY_MODEL_93fea8700fcd4a53abc561b08b307755",
"IPY_MODEL_c35221bea0cb4af9a584aa1987644f67"
],
"layout": "IPY_MODEL_dfa9073d29c94802821f0c1d4fe2c858"
}
},
"af71b9e66c374809b031b7058d48d756": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_e9c5d8d2a9a6414dbc9428af04f30927",
"placeholder": "​",
"style": "IPY_MODEL_1e9fc7beb25d4867ab3d6f39ac013233",
"value": "model-00001-of-00004.safetensors: 100%"
}
},
"93fea8700fcd4a53abc561b08b307755": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_00b50178dd6b463e9bfdfbefc475d161",
"max": 4976698672,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_d2d862aea95040daa4336f030faaf24b",
"value": 4976698672
}
},
"c35221bea0cb4af9a584aa1987644f67": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_6a5c8e59d82b464f9f85e8c7f5c560b8",
"placeholder": "​",
"style": "IPY_MODEL_2c3aa91a655c4cf0802235cc1497be75",
"value": " 4.98G/4.98G [02:42&lt;00:00, 38.1MB/s]"
}
},
"dfa9073d29c94802821f0c1d4fe2c858": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"e9c5d8d2a9a6414dbc9428af04f30927": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"1e9fc7beb25d4867ab3d6f39ac013233": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"00b50178dd6b463e9bfdfbefc475d161": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"d2d862aea95040daa4336f030faaf24b": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"6a5c8e59d82b464f9f85e8c7f5c560b8": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"2c3aa91a655c4cf0802235cc1497be75": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"7458fd5ad6bb4dbc8e4d6a1325006d12": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_7639820b32b948a294c7159ebc74a17f",
"IPY_MODEL_f41d85fce5cb4badb78b0f905f7bff38",
"IPY_MODEL_12ee990c4efc4a008b97c4f141dbabf3"
],
"layout": "IPY_MODEL_6245c254c73a475eaee2c200e0e264e8"
}
},
"7639820b32b948a294c7159ebc74a17f": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_a9a5cd5f8b7644efb49ab7f8109ebf82",
"placeholder": "​",
"style": "IPY_MODEL_1c8a1c6b6b0e4bdc9bda61e020c1d57f",
"value": "model-00004-of-00004.safetensors: 100%"
}
},
"f41d85fce5cb4badb78b0f905f7bff38": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_b8a4776c93314ecc9cfa1a2cf9b6a874",
"max": 1168138808,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_6ecac8091cbb4fbd8968984b3e991446",
"value": 1168138808
}
},
"12ee990c4efc4a008b97c4f141dbabf3": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_05ccd2949269435a927c57d1d0320245",
"placeholder": "​",
"style": "IPY_MODEL_96b4d572cbe04135a78997f9ede71e06",
"value": " 1.17G/1.17G [00:43&lt;00:00, 37.2MB/s]"
}
},
"6245c254c73a475eaee2c200e0e264e8": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"a9a5cd5f8b7644efb49ab7f8109ebf82": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"1c8a1c6b6b0e4bdc9bda61e020c1d57f": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"b8a4776c93314ecc9cfa1a2cf9b6a874": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"6ecac8091cbb4fbd8968984b3e991446": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"05ccd2949269435a927c57d1d0320245": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"96b4d572cbe04135a78997f9ede71e06": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"e15bfcdb79ad4014891a87106c0aa7a1": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_ff01b1594ca04b2983349f71998713a0",
"IPY_MODEL_70b1be4f1d37406287470206e2bcfc14",
"IPY_MODEL_897341fdb52b4950a4cfc0cec5d45660"
],
"layout": "IPY_MODEL_732754acdcae410c9431b30b5415591c"
}
},
"ff01b1594ca04b2983349f71998713a0": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_cec874adaff64030a65953ad715aadb4",
"placeholder": "​",
"style": "IPY_MODEL_83b771f3298d44d09829fa53b5395fbd",
"value": "model-00003-of-00004.safetensors: 100%"
}
},
"70b1be4f1d37406287470206e2bcfc14": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_87379f93fc1f4c68a331ce22d776a48e",
"max": 4915916176,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_6869a16f273c47f9ab0a77c40cd79896",
"value": 4915916176
}
},
"897341fdb52b4950a4cfc0cec5d45660": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_ba3d43b429624d15b4cf7214211e75e4",
"placeholder": "​",
"style": "IPY_MODEL_e122e1528ea547e9a1f48bdd178c52c7",
"value": " 4.92G/4.92G [02:38&lt;00:00, 16.3MB/s]"
}
},
"732754acdcae410c9431b30b5415591c": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"cec874adaff64030a65953ad715aadb4": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"83b771f3298d44d09829fa53b5395fbd": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"87379f93fc1f4c68a331ce22d776a48e": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"6869a16f273c47f9ab0a77c40cd79896": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"ba3d43b429624d15b4cf7214211e75e4": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"e122e1528ea547e9a1f48bdd178c52c7": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"9277fee6c55c487fb27a465217aec5bd": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_00c8784dc73243268d012f75172b5e95",
"IPY_MODEL_ec5177f9e05d4c9b87d949a6490ab732",
"IPY_MODEL_b63fac95bbd840aaacbd98268f0b9a75"
],
"layout": "IPY_MODEL_aee503c2b7bd4d9aa100c86968db4a70"
}
},
"00c8784dc73243268d012f75172b5e95": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_5332f828ed1a4bfbacaa85fe4145ed8c",
"placeholder": "​",
"style": "IPY_MODEL_205e73911df947488044334c712a1d1d",
"value": "model-00002-of-00004.safetensors: 100%"
}
},
"ec5177f9e05d4c9b87d949a6490ab732": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_1317d39b44ce4666b92b85136335a74f",
"max": 4999802720,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_6583d80cf6c04a39893de42a9c1c6c39",
"value": 4999802720
}
},
"b63fac95bbd840aaacbd98268f0b9a75": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_d0ee616ff8994b9f94ee5fb855e60b22",
"placeholder": "​",
"style": "IPY_MODEL_dcfa652a8b964c7189ec5fcfe6c677de",
"value": " 5.00G/5.00G [03:01&lt;00:00, 38.0MB/s]"
}
},
"aee503c2b7bd4d9aa100c86968db4a70": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"5332f828ed1a4bfbacaa85fe4145ed8c": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"205e73911df947488044334c712a1d1d": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"1317d39b44ce4666b92b85136335a74f": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"6583d80cf6c04a39893de42a9c1c6c39": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"d0ee616ff8994b9f94ee5fb855e60b22": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"dcfa652a8b964c7189ec5fcfe6c677de": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"91516d94f38d4bf19a362edb56f5eef0": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_ec14df270da04814ad23cf9c409f5ba9",
"IPY_MODEL_aff896e165f84488bfa17a1f5fb30f6f",
"IPY_MODEL_650b9ee4b3bb4b09bae6b91cca541664"
],
"layout": "IPY_MODEL_c0efe67ed40248d0ae2d4c6adeb5f838"
}
},
"ec14df270da04814ad23cf9c409f5ba9": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_813a93a3408044c4b0428a7b1b65a703",
"placeholder": "​",
"style": "IPY_MODEL_dde59c494d784b2d860560aca2225739",
"value": "Upload 4 LFS files: 100%"
}
},
"aff896e165f84488bfa17a1f5fb30f6f": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_9df4232f2e124426a769db46ff9b1c22",
"max": 4,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_53063d4da42c4854a3934855214f59dd",
"value": 4
}
},
"650b9ee4b3bb4b09bae6b91cca541664": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_af420dfb37174044adfd371362dc4fe5",
"placeholder": "​",
"style": "IPY_MODEL_01b338018fcd4a3fa97c56599b54b5de",
"value": " 4/4 [03:02&lt;00:00, 56.68s/it]"
}
},
"c0efe67ed40248d0ae2d4c6adeb5f838": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"813a93a3408044c4b0428a7b1b65a703": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"dde59c494d784b2d860560aca2225739": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"9df4232f2e124426a769db46ff9b1c22": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"53063d4da42c4854a3934855214f59dd": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"af420dfb37174044adfd371362dc4fe5": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"01b338018fcd4a3fa97c56599b54b5de": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
}
}
}
},
"nbformat": 4,
"nbformat_minor": 5
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment