Skip to content

Instantly share code, notes, and snippets.

@prasadwrites

prasadwrites/lab_1_summarize_dialogue.ipynb

Created July 1, 2023 01:27
Show Gist options
  • Save prasadwrites/084819358b6e7d7e9b3acbf467bee297 to your computer and use it in GitHub Desktop.
Save prasadwrites/084819358b6e7d7e9b3acbf467bee297 to your computer and use it in GitHub Desktop.
Download ZIP
Lab_1_summarize_dialogue.ipynb
Display the source blob
Display the rendered blob
Raw
lab_1_summarize_dialogue.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/prasadwrites/084819358b6e7d7e9b3acbf467bee297/lab_1_summarize_dialogue.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "_Q-CI6-alehe"
},
"source": [
"# Generative AI Use Case: Summarize Dialogue\n",
"\n",
"Welcome to the practical side of this course. In this lab you will do the dialogue summarization task using generative AI. You will explore how the input text affects the output of the model, and perform prompt engineering to direct it towards the task you need. By comparing zero shot, one shot, and few shot inferences, you will take the first step towards prompt engineering and see how it can enhance the generative output of Large Language Models."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "_1bGbJW-lehf"
},
"source": [
"# Table of Contents"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "9uPGyEhwlehg"
},
"source": [
"- [ 1 - Set up Kernel and Required Dependencies](#1)\n",
"- [ 2 - Summarize Dialogue without Prompt Engineering](#2)\n",
"- [ 3 - Summarize Dialogue with an Instruction Prompt](#3)\n",
" - [ 3.1 - Zero Shot Inference with an Instruction Prompt](#3.1)\n",
" - [ 3.2 - Zero Shot Inference with the Prompt Template from FLAN-T5](#3.2)\n",
"- [ 4 - Summarize Dialogue with One Shot and Few Shot Inference](#4)\n",
" - [ 4.1 - One Shot Inference](#4.1)\n",
" - [ 4.2 - Few Shot Inference](#4.2)\n",
"- [ 5 - Generative Configuration Parameters for Inference](#5)\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "-5O88fRDlehg"
},
"source": [
"<a name='1'></a>\n",
"## 1 - Set up Kernel and Required Dependencies"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [],
"id": "idS3fggflehg"
},
"source": [
"First, check that the correct kernel is chosen.\n",
"\n",
"<img src=\"images/kernel_set_up.png\" width=\"300\"/>\n",
"\n",
"You can click on that (top right of the screen) to see and check the details of the image, kernel, and instance type.\n",
"\n",
"<img src=\"images/w1_kernel_and_instance_type.png\" width=\"600\"/>"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [],
"id": "2viqgAOulehg"
},
"source": [
"Now install the required packages to use PyTorch and Hugging Face transformers and datasets.\n",
"\n",
"<img src=\"data:image/svg+xml;base64,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\" alt=\"Time alert open medium\"/>"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"tags": [],
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "W2JLDPJHlehh",
"outputId": "e929a6c6-0840-4c2e-c4ca-c4ef41dcadd9"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Requirement already satisfied: pip in /usr/local/lib/python3.10/dist-packages (23.1.2)\n"
]
}
],
"source": [
"%pip install --upgrade pip\n",
"%pip install --disable-pip-version-check \\\n",
" torch==1.13.1 \\\n",
" torchdata==0.5.1 --quiet\n",
"\n",
"%pip install \\\n",
" transformers==4.27.2 \\\n",
" datasets==2.11.0 --quiet"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [],
"id": "6Zb1Uon3lehi"
},
"source": [
"<img src=\"data:image/svg+xml;base64,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\" alt=\"Time alert close\"/>"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [],
"id": "RWdYpmzOlehi"
},
"source": [
"Load the datasets, Large Language Model (LLM), tokenizer, and configurator. Do not worry if you do not understand yet all of those components - they will be described and discussed later in the notebook."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"tags": [],
"id": "icM4xXrllehj"
},
"outputs": [],
"source": [
"from datasets import load_dataset\n",
"from transformers import AutoModelForSeq2SeqLM\n",
"from transformers import AutoTokenizer\n",
"from transformers import GenerationConfig"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "z5YLYCf_lehj"
},
"source": [
"<a name='2'></a>\n",
"## 2 - Summarize Dialogue without Prompt Engineering\n",
"\n",
"In this use case, you will be generating a summary of a dialogue with the pre-trained Large Language Model (LLM) FLAN-T5 from Hugging Face. The list of available models in the Hugging Face `transformers` package can be found [here](https://huggingface.co/docs/transformers/index).\n",
"\n",
"Let's upload some simple dialogues from the [DialogSum](https://huggingface.co/datasets/knkarthick/dialogsum) Hugging Face dataset. This dataset contains 10,000+ dialogues with the corresponding manually labeled summaries and topics."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"tags": [],
"colab": {
"base_uri": "https://localhost:8080/",
"height": 296,
"referenced_widgets": [
"6f7bbe5b3a4f4185b5613ff252e52c81",
"caf16b484af54fd79d668f360bfe5372",
"0a7e2866ffc24070bf739ddba8eb0822",
"7996201a0fcf46628e6930d5cb51b3b2",
"860265ecb1fa492f9fd3b1231fb5125d",
"8916fa98c2ac4226acab41d5fbbeca2d",
"68cd1d4602c24c02aa9ddc797e66d862",
"451a2877ad5e479fb00a1c5941d0fa60",
"824d97379b1a4b27ac987a755fcf875c",
"ff787812a10640ca931395d441071544",
"42cf41f998b644498448634d2dfec3fa",
"ea5a9004b94544aebd7e096cbbd92c4a",
"2e7a60d2d0c04d29bd64d805a1d51b52",
"c1a772f5a11b4a5a8a72af4b608ecda7",
"3f1be3de5877423aa31900b307760cc7",
"2a936672bf8a43c7bed707e6e0842cd8",
"c8d1877efedc4184b705b16dd3ebefc2",
"2dc392089cbc4d13aac52e45318b3186",
"932a546c07314987a513541f629e319e",
"35711bab422d4217b2c5018b0456cc47",
"48d1298cd8a6468c862eea5b8c72b321",
"921cb4faf1ee4570a9a181b654f47eed",
"eca3d956b2f144dd922f732c00143a9c",
"e691e1a389264580b741867e6e50dc5e",
"fdcbdceb86574753a61d8418d0b0d12a",
"d334ab5569f54d6aba0ebcad749b340c",
"dffbfeaaf19c468a895422eb0558a328",
"73f1eba4ffc746d6bc22248bf6d0a6bb",
"156f1cce9b244494a0d1eef377800aaf",
"4a282570b37343328959a15b5f66ed21",
"59176b9618b94da782ef96f656be0d67",
"b9023ebb1a7f4a6087bd5a0dac1a96e0",
"e5e3d79012eb4b33b17b600dff1d767f",
"07db79a88057439697fea4adaa019169",
"440e5a5f467f4c76b12b83ef3a775564",
"168085414b75492eb1ce73a309e3887e",
"70f420553af748c6929e9946d66e4bd1",
"7bbbc98420ec43e4a1cd5824944e42a8",
"3860491af38749dca5775bbb340ccc59",
"7c086a8a1e544c00b40ab55a35be5d10",
"5a5c5e997cf8417cae2b1b133c5880df",
"cb4e95f244b7497abd3c141c0115b171",
"0b5a54f162f745d3be225651c6308279",
"2194e71307de4b75844116687de03b3b",
"33c43fea64524b569316b14e045ec4ab",
"c77ab50eccff434c92be3949976a08af",
"fe7e26e92db945818619eb4ec2421e41",
"fdb84cd16c874d5a9f2470cd69f751f6",
"317f516e74324bb182b338416262f420",
"dfcc8cc239a04a959023a17820b2ea18",
"ed7e27f5b78f4f78b3eea416fbead16c",
"2357746de9f444168a06f543d21eaaf8",
"9e70772f47fb4ad38140d884ab7e1178",
"e9be4ac99a9c47f29c9e87508eacaa4c",
"5d63a27b53964a90a550ad6e769b0f55",
"33da82ad5858498abd975219dbd37175",
"5c58359376ad4f2286d643f062f8a8a4",
"30f0f632e45f4aa789b7c50e822a558e",
"e8188ea7ee064f1198fc16f19a6938d9",
"6db3bd03a54f4b1f9043522b0a00e44c",
"3262e01bc8d94df7a47fe5d31f3bee96",
"ef4df34e007a4349b9e3542f983770d1",
"f0c9fc563a114e9fa61b3c502bb3cea4",
"6e96a6fe3e024cc99f59fb5f0082fa58",
"8cb2cfabcd8741c3b80953c0995a722b",
"23b173ed3c9e43ae8f254919fd721597",
"6eb0b898066c478f89754fe0de334f6e",
"0ba97f38f8ff457c89679a6c372f707b",
"03d68af3774a4faebf831b67df5f1f79",
"01e96b5cd95146c5aed45d8013697ed9",
"957d9c22a38b48f0b9c892e58eaa6af0",
"a6a2541a42c44474bd65f1bae022d0b7",
"c85977b1aae74d48913a0203ef66bfa8",
"1a497a3a22b342ac9ba7d2af11b3dd0a",
"f101887116dd4a88bccc71bdfe5a649d",
"6f2676aa2ed2496ab7559779526cda88",
"12a7a2e10c144ff986d3c0eafbc9878a",
"c89a7045eb6f412383c0a101152bb7d6",
"28855f7cc75241c2a431413e735baf53",
"0a71773ab40245da82ddc77c7b4c064b",
"515f910e030347cea99125ebfb6fe3cb",
"ef9a0e1086dd464193b90351dcd04091",
"c2d81763056e43eeb5166d3ae659ff10",
"156a0e9a9c494b9884859ed4837be3ba",
"d2f98858673945b3b147788a917e1b06",
"076d326be9a542d6a0dd10cc1313816d",
"ed5122ec13eb438b84e7e8179137504b",
"c3affd0ba15146ce8bc789246d351da9",
"bb4340f9b72a4456bf19efa9560b26e8",
"44998e8c8c614229a7a4c859f6a36c05",
"77295626ad684e74bb88f55cc35387a8",
"d0ab439c42f24acdb152956da9741ea7",
"b8c8be6b85974452b147f6f688cf9a3f",
"7debdfcf5184418486578a1f38c974b3",
"b1031400d9f4471f9da5cdcdbbea3921",
"7ac14cae707e477d88d09bc820ea1278",
"eb6c67f84a004231a477d7dc08d232cd",
"21080ff5efa042deb0049cffbafcbe73",
"48918dc2bb1641129a385e419898e06a",
"ddba42cc10084f9bad5f9b74ddd48041",
"bca1efe11aeb4b1391370cd702c819e0",
"ad8eba06ccd44396b860c9134ee2a680",
"3cc3bc8c7e3e4d82a24070da1c33b3a9",
"48e98568500946ae858ee1f438802d52",
"d49655c3ee5c462fa2e096c4d614f14d",
"183377dbf4424110b7365e9f8f51367c",
"094774694cbf49cd95fb9604cf6f2ad8",
"d50c1f07012e4e09a3572531b80c0595",
"950222534c164f34ae118dee99fa0757",
"2339b7f243dc45c589c32e7bb225dea7"
]
},
"id": "kbYJdT-olehj",
"outputId": "f5ec185e-2fce-48c5-d6af-37c37e694d78"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading readme: 0%| | 0.00/4.56k [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "6f7bbe5b3a4f4185b5613ff252e52c81"
}
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Downloading and preparing dataset csv/knkarthick--dialogsum to /root/.cache/huggingface/datasets/knkarthick___csv/knkarthick--dialogsum-c8fac5d84cd35861/0.0.0/6954658bab30a358235fa864b05cf819af0e179325c740e4bc853bcc7ec513e1...\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading data files: 0%| | 0/3 [00:00<?, ?it/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "ea5a9004b94544aebd7e096cbbd92c4a"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading data: 0%| | 0.00/11.3M [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "eca3d956b2f144dd922f732c00143a9c"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading data: 0%| | 0.00/1.35M [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "07db79a88057439697fea4adaa019169"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading data: 0%| | 0.00/442k [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "33c43fea64524b569316b14e045ec4ab"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Extracting data files: 0%| | 0/3 [00:00<?, ?it/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "33da82ad5858498abd975219dbd37175"
}
},
"metadata": {}
},
{
"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": "6eb0b898066c478f89754fe0de334f6e"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Generating test split: 0 examples [00:00, ? examples/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "c89a7045eb6f412383c0a101152bb7d6"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Generating validation split: 0 examples [00:00, ? examples/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "bb4340f9b72a4456bf19efa9560b26e8"
}
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Dataset csv downloaded and prepared to /root/.cache/huggingface/datasets/knkarthick___csv/knkarthick--dialogsum-c8fac5d84cd35861/0.0.0/6954658bab30a358235fa864b05cf819af0e179325c740e4bc853bcc7ec513e1. Subsequent calls will reuse this data.\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
" 0%| | 0/3 [00:00<?, ?it/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "ddba42cc10084f9bad5f9b74ddd48041"
}
},
"metadata": {}
}
],
"source": [
"huggingface_dataset_name = \"knkarthick/dialogsum\"\n",
"\n",
"dataset = load_dataset(huggingface_dataset_name)"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [],
"id": "KSgEO-oqlehj"
},
"source": [
"Print a couple of dialogues with their baseline summaries."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"tags": [],
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "CktFdYatlehj",
"outputId": "97c50d3f-6026-4d58-8183-f2c508033afb"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"---------------------------------------------------------------------------------------------------\n",
"Example 1\n",
"---------------------------------------------------------------------------------------------------\n",
"INPUT DIALOGUE:\n",
"#Person1#: What time is it, Tom?\n",
"#Person2#: Just a minute. It's ten to nine by my watch.\n",
"#Person1#: Is it? I had no idea it was so late. I must be off now.\n",
"#Person2#: What's the hurry?\n",
"#Person1#: I must catch the nine-thirty train.\n",
"#Person2#: You've plenty of time yet. The railway station is very close. It won't take more than twenty minutes to get there.\n",
"---------------------------------------------------------------------------------------------------\n",
"BASELINE HUMAN SUMMARY:\n",
"#Person1# is in a hurry to catch a train. Tom tells #Person1# there is plenty of time.\n",
"---------------------------------------------------------------------------------------------------\n",
"\n",
"---------------------------------------------------------------------------------------------------\n",
"Example 2\n",
"---------------------------------------------------------------------------------------------------\n",
"INPUT DIALOGUE:\n",
"#Person1#: Have you considered upgrading your system?\n",
"#Person2#: Yes, but I'm not sure what exactly I would need.\n",
"#Person1#: You could consider adding a painting program to your software. It would allow you to make up your own flyers and banners for advertising.\n",
"#Person2#: That would be a definite bonus.\n",
"#Person1#: You might also want to upgrade your hardware because it is pretty outdated now.\n",
"#Person2#: How can we do that?\n",
"#Person1#: You'd probably need a faster processor, to begin with. And you also need a more powerful hard disc, more memory and a faster modem. Do you have a CD-ROM drive?\n",
"#Person2#: No.\n",
"#Person1#: Then you might want to add a CD-ROM drive too, because most new software programs are coming out on Cds.\n",
"#Person2#: That sounds great. Thanks.\n",
"---------------------------------------------------------------------------------------------------\n",
"BASELINE HUMAN SUMMARY:\n",
"#Person1# teaches #Person2# how to upgrade software and hardware in #Person2#'s system.\n",
"---------------------------------------------------------------------------------------------------\n",
"\n"
]
}
],
"source": [
"example_indices = [40, 200]\n",
"\n",
"dash_line = '-'.join('' for x in range(100))\n",
"\n",
"for i, index in enumerate(example_indices):\n",
" print(dash_line)\n",
" print('Example ', i + 1)\n",
" print(dash_line)\n",
" print('INPUT DIALOGUE:')\n",
" print(dataset['test'][index]['dialogue'])\n",
" print(dash_line)\n",
" print('BASELINE HUMAN SUMMARY:')\n",
" print(dataset['test'][index]['summary'])\n",
" print(dash_line)\n",
" print()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "9h9vuSw9lehk"
},
"source": [
"Load the [FLAN-T5 model](https://huggingface.co/docs/transformers/model_doc/flan-t5), creating an instance of the `AutoModelForSeq2SeqLM` class with the `.from_pretrained()` method."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"id": "iAYlS40Z3l-v",
"tags": [],
"colab": {
"base_uri": "https://localhost:8080/",
"height": 113,
"referenced_widgets": [
"13f4dfafd9c147e49d14acb6fb0a44b2",
"bdf112e47cfe4bbb97f28aae9a9f1ce1",
"ab5cd090390545139779e59d818ede32",
"820f66003d5e4bbd98f62c00e5224366",
"895ee6da6506484c95e762f009bf15dc",
"f990977143a447e7af249abcd5f413de",
"4695878735294b2e8719898eceb0985a",
"cfd6397ec57848aba81724fa49e488ad",
"fddf4f997e0a4ff88c19f38c9f224292",
"6db6eade30764ded9a7ce6fe1e9d54bf",
"4f503c49068444c497b29f7986169c83",
"9a130f42c1b44065aa5c5072e20998cf",
"61195a5c3f4c4682bb79635e5397d5ff",
"673bbac5ec7f47ceba130dea82a25525",
"5f2f101bc15341babb7cb589d81eb31a",
"7b6588a1eaeb42bbb95bae6887d1a50d",
"5e93f91d15c14f73a9b5c2a4c93ba3c7",
"fdb15c0b05dc462ba8bb463aa3149dfc",
"7e56917ae8934b5a9f80c8f14e38d04b",
"cffd165860604900a76e37d6b4717c88",
"53c4ee6fe2214d8a98502f6b772e4f46",
"33ff17254e3e4198a732ef3a713ed4e3",
"8f16d4dbe32a4b08be47689a944cc74d",
"fa82638d75654e3196c6b0af20e2e327",
"b1c4055b8f48466aaaa8399f8bc6d29f",
"04f580501fc1491fabb06d00a05bf88c",
"9b76b5340365486bbe25f766286b6cb8",
"42bc1f017a764ec3bcc52349d1639fc6",
"3b8b3d978e4e468c84078ceea4ab697d",
"3290d879c7f74facb3c65bc226cf1a7d",
"0434a7044aab4ac0b14e10bdd2f3b4ed",
"6744f2eb264344008fedb77862a38858",
"21343bef3678407b8201243b68e3cc68"
]
},
"outputId": "e9a722be-32e4-42a7-8856-d759b3dcdb69"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading (…)lve/main/config.json: 0%| | 0.00/1.40k [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "13f4dfafd9c147e49d14acb6fb0a44b2"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading pytorch_model.bin: 0%| | 0.00/990M [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "9a130f42c1b44065aa5c5072e20998cf"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading (…)neration_config.json: 0%| | 0.00/147 [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "8f16d4dbe32a4b08be47689a944cc74d"
}
},
"metadata": {}
}
],
"source": [
"model_name='google/flan-t5-base'\n",
"\n",
"model = AutoModelForSeq2SeqLM.from_pretrained(model_name)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "sPqQA3TT3l_I",
"tags": []
},
"source": [
"To perform encoding and decoding, you need to work with text in a tokenized form. **Tokenization** is the process of splitting texts into smaller units that can be processed by the LLM models.\n",
"\n",
"Download the tokenizer for the FLAN-T5 model using `AutoTokenizer.from_pretrained()` method. Parameter `use_fast` switches on fast tokenizer. At this stage, there is no need to go into the details of that, but you can find the tokenizer parameters in the [documentation](https://huggingface.co/docs/transformers/v4.28.1/en/model_doc/auto#transformers.AutoTokenizer)."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"tags": [],
"colab": {
"base_uri": "https://localhost:8080/",
"height": 145,
"referenced_widgets": [
"4ee1830ff2284d34aa833af84579e487",
"149db271e6a44841aea50ea74821619b",
"d4c7a726a5ef4cfbb475f61067f59df6",
"ea1bf52055f949bd88eebcd1b78dd4e7",
"9977684d90254371b08994a606d9d27d",
"4f760b37847d493880318a20c7947b94",
"e202aed83d1e4c549ec4e063cd4853e9",
"7b154eb0afb2434e856283c30510c702",
"9e75992943b64996b8343d055728cd9b",
"6711ca452fb2464095c30a8a92e5ca6f",
"56ac7e9e6f8b49059a20a35265b782d3",
"a116d766bfdc49cfa7cd03d1961265a9",
"6b494cee98c0458fbdb87dd40e64017d",
"c05e9272a40c4abea2aeef31af23abfd",
"aa68679193e2457f88f08219790b3661",
"9c71849cf8a846a0914dda1c1ab66771",
"710c50630914453982db7168d2041174",
"0d29e5dd87e64355844c9fb79ad0c133",
"48c6b555045a450ca3cf854f44e9866f",
"efb5b707fe364adbb75b306617ed15aa",
"ae5a9701cf7c465aa337ba35b0b3de0d",
"8d4a5d8ae0c5481bbd52caa6df10db89",
"78ebb0aeb224484b8bc8d10a82c09540",
"6b1e76bcbe26441bb92ef32f87538200",
"50e58307d9f246d293fcbe8a27073128",
"70508819de6e491cbf577b9d3308a26b",
"68c9d89d315d4f02b1e435a9029d0993",
"c2eb7482ccfd4b7da844992ab63c1eb0",
"99fc0ee2485e44dab921f822105153bc",
"8ed96a1e3c3b495b91cdf0e12f7d66b7",
"76e960d04b8145578ff47c863f8c97d5",
"86d6b1f9551f445aa0d6d63a135e8168",
"c29a453932b5472b9435aa7b0cf96dea",
"f5106fdcb53c4edbbcac33ff15483beb",
"7a86dac722ac401a9f95b8a0adf7d532",
"54114014618d4bc6a1124a96b1b7f512",
"97f459122fe8454491fc1cc20b166564",
"791e813cf7fd4628a6d994a7abbb499e",
"da3c6b442c8f4964ac80217636d8c4f2",
"5aa4ee88d7ff4f7db4a198175eac930a",
"2e1e9605b3934a11a12081b6b7e1f2c7",
"6891c4573ffd44ad9beb402b1dc5868c",
"8e73860c64904278a65955dc658b9234",
"b36830a86a2d40ec9f06fc82c81352e8"
]
},
"id": "KB-vJdXmlehk",
"outputId": "31e3b305-cadd-45c5-bc78-bd1075ac10c4"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading (…)okenizer_config.json: 0%| | 0.00/2.54k [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "4ee1830ff2284d34aa833af84579e487"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading spiece.model: 0%| | 0.00/792k [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "a116d766bfdc49cfa7cd03d1961265a9"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading (…)/main/tokenizer.json: 0%| | 0.00/2.42M [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "78ebb0aeb224484b8bc8d10a82c09540"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading (…)cial_tokens_map.json: 0%| | 0.00/2.20k [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "f5106fdcb53c4edbbcac33ff15483beb"
}
},
"metadata": {}
}
],
"source": [
"tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=True)"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [],
"id": "zB8Z8ULplehk"
},
"source": [
"Test the tokenizer encoding and decoding a simple sentence:"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"tags": [],
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Hb6-5TyRlehk",
"outputId": "3121b72e-80fe-4e74-d77f-f2ff1be066e9"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"ENCODED SENTENCE:\n",
"tensor([ 363, 97, 19, 34, 6, 3059, 58, 1])\n",
"\n",
"DECODED SENTENCE:\n",
"What time is it, Tom?\n"
]
}
],
"source": [
"sentence = \"What time is it, Tom?\"\n",
"\n",
"sentence_encoded = tokenizer(sentence, return_tensors='pt')\n",
"\n",
"sentence_decoded = tokenizer.decode(\n",
" sentence_encoded[\"input_ids\"][0],\n",
" skip_special_tokens=True\n",
" )\n",
"\n",
"print('ENCODED SENTENCE:')\n",
"print(sentence_encoded[\"input_ids\"][0])\n",
"print('\\nDECODED SENTENCE:')\n",
"print(sentence_decoded)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "UT8Vq97mlehl"
},
"source": [
"Now it's time to explore how well the base LLM summarizes a dialogue without any prompt engineering. **Prompt engineering** is an act of a human changing the **prompt** (input) to improve the response for a given task."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"tags": [],
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "oow7IiE-lehl",
"outputId": "0364cd6c-f08a-42f2-b71c-c64bbd428a14"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"---------------------------------------------------------------------------------------------------\n",
"Example 1\n",
"---------------------------------------------------------------------------------------------------\n",
"INPUT PROMPT:\n",
"#Person1#: What time is it, Tom?\n",
"#Person2#: Just a minute. It's ten to nine by my watch.\n",
"#Person1#: Is it? I had no idea it was so late. I must be off now.\n",
"#Person2#: What's the hurry?\n",
"#Person1#: I must catch the nine-thirty train.\n",
"#Person2#: You've plenty of time yet. The railway station is very close. It won't take more than twenty minutes to get there.\n",
"---------------------------------------------------------------------------------------------------\n",
"BASELINE HUMAN SUMMARY:\n",
"#Person1# is in a hurry to catch a train. Tom tells #Person1# there is plenty of time.\n",
"---------------------------------------------------------------------------------------------------\n",
"MODEL GENERATION - WITHOUT PROMPT ENGINEERING:\n",
"Person1: It's ten to nine.\n",
"\n",
"---------------------------------------------------------------------------------------------------\n",
"Example 2\n",
"---------------------------------------------------------------------------------------------------\n",
"INPUT PROMPT:\n",
"#Person1#: Have you considered upgrading your system?\n",
"#Person2#: Yes, but I'm not sure what exactly I would need.\n",
"#Person1#: You could consider adding a painting program to your software. It would allow you to make up your own flyers and banners for advertising.\n",
"#Person2#: That would be a definite bonus.\n",
"#Person1#: You might also want to upgrade your hardware because it is pretty outdated now.\n",
"#Person2#: How can we do that?\n",
"#Person1#: You'd probably need a faster processor, to begin with. And you also need a more powerful hard disc, more memory and a faster modem. Do you have a CD-ROM drive?\n",
"#Person2#: No.\n",
"#Person1#: Then you might want to add a CD-ROM drive too, because most new software programs are coming out on Cds.\n",
"#Person2#: That sounds great. Thanks.\n",
"---------------------------------------------------------------------------------------------------\n",
"BASELINE HUMAN SUMMARY:\n",
"#Person1# teaches #Person2# how to upgrade software and hardware in #Person2#'s system.\n",
"---------------------------------------------------------------------------------------------------\n",
"MODEL GENERATION - WITHOUT PROMPT ENGINEERING:\n",
"#Person1#: I'm thinking of upgrading my computer.\n",
"\n"
]
}
],
"source": [
"for i, index in enumerate(example_indices):\n",
" dialogue = dataset['test'][index]['dialogue']\n",
" summary = dataset['test'][index]['summary']\n",
"\n",
" inputs = tokenizer(dialogue, return_tensors='pt')\n",
" output = tokenizer.decode(\n",
" model.generate(\n",
" inputs[\"input_ids\"],\n",
" max_new_tokens=50,\n",
" )[0],\n",
" skip_special_tokens=True\n",
" )\n",
"\n",
" print(dash_line)\n",
" print('Example ', i + 1)\n",
" print(dash_line)\n",
" print(f'INPUT PROMPT:\\n{dialogue}')\n",
" print(dash_line)\n",
" print(f'BASELINE HUMAN SUMMARY:\\n{summary}')\n",
" print(dash_line)\n",
" print(f'MODEL GENERATION - WITHOUT PROMPT ENGINEERING:\\n{output}\\n')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "xSqRhZTWlehl"
},
"source": [
"You can see that the guesses of the model make some sense, but it doesn't seem to be sure what task it is supposed to accomplish. Seems it just makes up the next sentence in the dialogue. Prompt engineering can help here."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "DLdNtGsrlehl"
},
"source": [
"<a name='3'></a>\n",
"## 3 - Summarize Dialogue with an Instruction Prompt\n",
"\n",
"Prompt engineering is an important concept in using foundation models for text generation. You can check out [this blog](https://www.amazon.science/blog/emnlp-prompt-engineering-is-the-new-feature-engineering) from Amazon Science for a quick introduction to prompt engineering."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "RiYy9hw-lehl"
},
"source": [
"<a name='3.1'></a>\n",
"### 3.1 - Zero Shot Inference with an Instruction Prompt\n",
"\n",
"In order to instruct the model to perform a task - summarize a dialogue - you can take the dialogue and convert it into an instruction prompt. This is often called **zero shot inference**. You can check out [this blog from AWS](https://aws.amazon.com/blogs/machine-learning/zero-shot-prompting-for-the-flan-t5-foundation-model-in-amazon-sagemaker-jumpstart/) for a quick description of what zero shot learning is and why it is an important concept to the LLM model.\n",
"\n",
"Wrap the dialogue in a descriptive instruction and see how the generated text will change:"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"tags": [],
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "MMXkV65Ilehm",
"outputId": "3d21cf2b-6be6-4923-8476-cac5c463ac69"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"---------------------------------------------------------------------------------------------------\n",
"Example 1\n",
"---------------------------------------------------------------------------------------------------\n",
"INPUT PROMPT:\n",
"\n",
"Summarize the following conversation.\n",
"\n",
"#Person1#: What time is it, Tom?\n",
"#Person2#: Just a minute. It's ten to nine by my watch.\n",
"#Person1#: Is it? I had no idea it was so late. I must be off now.\n",
"#Person2#: What's the hurry?\n",
"#Person1#: I must catch the nine-thirty train.\n",
"#Person2#: You've plenty of time yet. The railway station is very close. It won't take more than twenty minutes to get there.\n",
"\n",
"Summary:\n",
" \n",
"---------------------------------------------------------------------------------------------------\n",
"BASELINE HUMAN SUMMARY:\n",
"#Person1# is in a hurry to catch a train. Tom tells #Person1# there is plenty of time.\n",
"---------------------------------------------------------------------------------------------------\n",
"MODEL GENERATION - ZERO SHOT:\n",
"The train is about to leave.\n",
"\n",
"---------------------------------------------------------------------------------------------------\n",
"Example 2\n",
"---------------------------------------------------------------------------------------------------\n",
"INPUT PROMPT:\n",
"\n",
"Summarize the following conversation.\n",
"\n",
"#Person1#: Have you considered upgrading your system?\n",
"#Person2#: Yes, but I'm not sure what exactly I would need.\n",
"#Person1#: You could consider adding a painting program to your software. It would allow you to make up your own flyers and banners for advertising.\n",
"#Person2#: That would be a definite bonus.\n",
"#Person1#: You might also want to upgrade your hardware because it is pretty outdated now.\n",
"#Person2#: How can we do that?\n",
"#Person1#: You'd probably need a faster processor, to begin with. And you also need a more powerful hard disc, more memory and a faster modem. Do you have a CD-ROM drive?\n",
"#Person2#: No.\n",
"#Person1#: Then you might want to add a CD-ROM drive too, because most new software programs are coming out on Cds.\n",
"#Person2#: That sounds great. Thanks.\n",
"\n",
"Summary:\n",
" \n",
"---------------------------------------------------------------------------------------------------\n",
"BASELINE HUMAN SUMMARY:\n",
"#Person1# teaches #Person2# how to upgrade software and hardware in #Person2#'s system.\n",
"---------------------------------------------------------------------------------------------------\n",
"MODEL GENERATION - ZERO SHOT:\n",
"#Person1#: I'm thinking of upgrading my computer.\n",
"\n"
]
}
],
"source": [
"for i, index in enumerate(example_indices):\n",
" dialogue = dataset['test'][index]['dialogue']\n",
" summary = dataset['test'][index]['summary']\n",
"\n",
" prompt = f\"\"\"\n",
"Summarize the following conversation.\n",
"\n",
"{dialogue}\n",
"\n",
"Summary:\n",
" \"\"\"\n",
"\n",
" # Input constructed prompt instead of the dialogue.\n",
" inputs = tokenizer(prompt, return_tensors='pt')\n",
" output = tokenizer.decode(\n",
" model.generate(\n",
" inputs[\"input_ids\"],\n",
" max_new_tokens=50,\n",
" )[0],\n",
" skip_special_tokens=True\n",
" )\n",
"\n",
" print(dash_line)\n",
" print('Example ', i + 1)\n",
" print(dash_line)\n",
" print(f'INPUT PROMPT:\\n{prompt}')\n",
" print(dash_line)\n",
" print(f'BASELINE HUMAN SUMMARY:\\n{summary}')\n",
" print(dash_line)\n",
" print(f'MODEL GENERATION - ZERO SHOT:\\n{output}\\n')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Aw1ZXM1ylehm"
},
"source": [
"This is much better! But the model still does not pick up on the nuance of the conversations though."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "MALqF1rwlehm"
},
"source": [
"**Exercise:**\n",
"\n",
"- Experiment with the `prompt` text and see how the inferences will be changed. Will the inferences change if you end the prompt with just empty string vs. `Summary: `?\n",
"- Try to rephrase the beginning of the `prompt` text from `Summarize the following conversation.` to something different - and see how it will influence the generated output."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "pnkfWjrhlehm"
},
"source": [
"<a name='3.2'></a>\n",
"### 3.2 - Zero Shot Inference with the Prompt Template from FLAN-T5\n",
"\n",
"Let's use a slightly different prompt. FLAN-T5 has many prompt templates that are published for certain tasks [here](https://github.com/google-research/FLAN/tree/main/flan/v2). In the following code, you will use one of the [pre-built FLAN-T5 prompts](https://github.com/google-research/FLAN/blob/main/flan/v2/templates.py):"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"tags": [],
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "yBMoMYxOlehm",
"outputId": "cdda246c-ed5a-44ac-ed0f-faf45b9a9540"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"---------------------------------------------------------------------------------------------------\n",
"Example 1\n",
"---------------------------------------------------------------------------------------------------\n",
"INPUT PROMPT:\n",
"\n",
"Dialogue:\n",
"\n",
"#Person1#: What time is it, Tom?\n",
"#Person2#: Just a minute. It's ten to nine by my watch.\n",
"#Person1#: Is it? I had no idea it was so late. I must be off now.\n",
"#Person2#: What's the hurry?\n",
"#Person1#: I must catch the nine-thirty train.\n",
"#Person2#: You've plenty of time yet. The railway station is very close. It won't take more than twenty minutes to get there.\n",
"\n",
"What was going on?\n",
"\n",
"---------------------------------------------------------------------------------------------------\n",
"BASELINE HUMAN SUMMARY:\n",
"#Person1# is in a hurry to catch a train. Tom tells #Person1# there is plenty of time.\n",
"\n",
"---------------------------------------------------------------------------------------------------\n",
"MODEL GENERATION - ZERO SHOT:\n",
"Tom is late for the train.\n",
"\n",
"---------------------------------------------------------------------------------------------------\n",
"Example 2\n",
"---------------------------------------------------------------------------------------------------\n",
"INPUT PROMPT:\n",
"\n",
"Dialogue:\n",
"\n",
"#Person1#: Have you considered upgrading your system?\n",
"#Person2#: Yes, but I'm not sure what exactly I would need.\n",
"#Person1#: You could consider adding a painting program to your software. It would allow you to make up your own flyers and banners for advertising.\n",
"#Person2#: That would be a definite bonus.\n",
"#Person1#: You might also want to upgrade your hardware because it is pretty outdated now.\n",
"#Person2#: How can we do that?\n",
"#Person1#: You'd probably need a faster processor, to begin with. And you also need a more powerful hard disc, more memory and a faster modem. Do you have a CD-ROM drive?\n",
"#Person2#: No.\n",
"#Person1#: Then you might want to add a CD-ROM drive too, because most new software programs are coming out on Cds.\n",
"#Person2#: That sounds great. Thanks.\n",
"\n",
"What was going on?\n",
"\n",
"---------------------------------------------------------------------------------------------------\n",
"BASELINE HUMAN SUMMARY:\n",
"#Person1# teaches #Person2# how to upgrade software and hardware in #Person2#'s system.\n",
"\n",
"---------------------------------------------------------------------------------------------------\n",
"MODEL GENERATION - ZERO SHOT:\n",
"#Person1#: You could add a painting program to your software. #Person2#: That would be a bonus. #Person1#: You might also want to upgrade your hardware. #Person1#\n",
"\n"
]
}
],
"source": [
"for i, index in enumerate(example_indices):\n",
" dialogue = dataset['test'][index]['dialogue']\n",
" summary = dataset['test'][index]['summary']\n",
"\n",
" prompt = f\"\"\"\n",
"Dialogue:\n",
"\n",
"{dialogue}\n",
"\n",
"What was going on?\n",
"\"\"\"\n",
"\n",
" inputs = tokenizer(prompt, return_tensors='pt')\n",
" output = tokenizer.decode(\n",
" model.generate(\n",
" inputs[\"input_ids\"],\n",
" max_new_tokens=50,\n",
" )[0],\n",
" skip_special_tokens=True\n",
" )\n",
"\n",
" print(dash_line)\n",
" print('Example ', i + 1)\n",
" print(dash_line)\n",
" print(f'INPUT PROMPT:\\n{prompt}')\n",
" print(dash_line)\n",
" print(f'BASELINE HUMAN SUMMARY:\\n{summary}\\n')\n",
" print(dash_line)\n",
" print(f'MODEL GENERATION - ZERO SHOT:\\n{output}\\n')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "rOKH2_bBlehm"
},
"source": [
"Notice that this prompt from FLAN-T5 did help a bit, but still struggles to pick up on the nuance of the conversation. This is what you will try to solve with the few shot inferencing."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "lJiDYDKglehn"
},
"source": [
"<a name='4'></a>\n",
"## 4 - Summarize Dialogue with One Shot and Few Shot Inference\n",
"\n",
"**One shot and few shot inference** are the practices of providing an LLM with either one or more full examples of prompt-response pairs that match your task - before your actual prompt that you want completed. This is called \"in-context learning\" and puts your model into a state that understands your specific task. You can read more about it in [this blog from HuggingFace](https://huggingface.co/blog/few-shot-learning-gpt-neo-and-inference-api)."
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [],
"id": "kZvz20e6lehn"
},
"source": [
"<a name='4.1'></a>\n",
"### 4.1 - One Shot Inference\n",
"\n",
"Let's build a function that takes a list of `example_indices_full`, generates a prompt with full examples, then at the end appends the prompt which you want the model to complete (`example_index_to_summarize`). You will use the same FLAN-T5 prompt template from section [3.2](#3.2)."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"tags": [],
"id": "chxguTvnlehn"
},
"outputs": [],
"source": [
"def make_prompt(example_indices_full, example_index_to_summarize):\n",
" prompt = ''\n",
" for index in example_indices_full:\n",
" dialogue = dataset['test'][index]['dialogue']\n",
" summary = dataset['test'][index]['summary']\n",
"\n",
" # The stop sequence '{summary}\\n\\n\\n' is important for FLAN-T5. Other models may have their own preferred stop sequence.\n",
" prompt += f\"\"\"\n",
"Dialogue:\n",
"\n",
"{dialogue}\n",
"\n",
"What was going on?\n",
"{summary}\n",
"\n",
"\n",
"\"\"\"\n",
"\n",
" dialogue = dataset['test'][example_index_to_summarize]['dialogue']\n",
"\n",
" prompt += f\"\"\"\n",
"Dialogue:\n",
"\n",
"{dialogue}\n",
"\n",
"What was going on?\n",
"\"\"\"\n",
"\n",
" return prompt"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [],
"id": "xJnXS5vWlehn"
},
"source": [
"Construct the prompt to perform one shot inference:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"tags": [],
"id": "e-W_R2N3lehn",
"outputId": "7d45d686-3883-43fa-c996-a6f5f04fb887"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Dialogue:\n",
"\n",
"#Person1#: What time is it, Tom?\n",
"#Person2#: Just a minute. It's ten to nine by my watch.\n",
"#Person1#: Is it? I had no idea it was so late. I must be off now.\n",
"#Person2#: What's the hurry?\n",
"#Person1#: I must catch the nine-thirty train.\n",
"#Person2#: You've plenty of time yet. The railway station is very close. It won't take more than twenty minutes to get there.\n",
"\n",
"What was going on?\n",
"#Person1# is in a hurry to catch a train. Tom tells #Person1# there is plenty of time.\n",
"\n",
"\n",
"\n",
"Dialogue:\n",
"\n",
"#Person1#: Have you considered upgrading your system?\n",
"#Person2#: Yes, but I'm not sure what exactly I would need.\n",
"#Person1#: You could consider adding a painting program to your software. It would allow you to make up your own flyers and banners for advertising.\n",
"#Person2#: That would be a definite bonus.\n",
"#Person1#: You might also want to upgrade your hardware because it is pretty outdated now.\n",
"#Person2#: How can we do that?\n",
"#Person1#: You'd probably need a faster processor, to begin with. And you also need a more powerful hard disc, more memory and a faster modem. Do you have a CD-ROM drive?\n",
"#Person2#: No.\n",
"#Person1#: Then you might want to add a CD-ROM drive too, because most new software programs are coming out on Cds.\n",
"#Person2#: That sounds great. Thanks.\n",
"\n",
"What was going on?\n",
"\n"
]
}
],
"source": [
"example_indices_full = [40]\n",
"example_index_to_summarize = 200\n",
"\n",
"one_shot_prompt = make_prompt(example_indices_full, example_index_to_summarize)\n",
"\n",
"print(one_shot_prompt)"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [],
"id": "MxZ5xg2Dlehn"
},
"source": [
"Now pass this prompt to perform the one shot inference:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"tags": [],
"id": "OpyDy77Tlehn",
"outputId": "9273801e-eec6-41cf-acc0-72a885deb6ce"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"---------------------------------------------------------------------------------------------------\n",
"BASELINE HUMAN SUMMARY:\n",
"#Person1# teaches #Person2# how to upgrade software and hardware in #Person2#'s system.\n",
"\n",
"---------------------------------------------------------------------------------------------------\n",
"MODEL GENERATION - ONE SHOT:\n",
"#Person1 wants to upgrade his system. #Person2 wants to add a painting program to his software. #Person1 wants to add a CD-ROM drive.\n"
]
}
],
"source": [
"summary = dataset['test'][example_index_to_summarize]['summary']\n",
"\n",
"inputs = tokenizer(one_shot_prompt, return_tensors='pt')\n",
"output = tokenizer.decode(\n",
" model.generate(\n",
" inputs[\"input_ids\"],\n",
" max_new_tokens=50,\n",
" )[0],\n",
" skip_special_tokens=True\n",
")\n",
"\n",
"print(dash_line)\n",
"print(f'BASELINE HUMAN SUMMARY:\\n{summary}\\n')\n",
"print(dash_line)\n",
"print(f'MODEL GENERATION - ONE SHOT:\\n{output}')"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [],
"id": "dqjEuvF9leho"
},
"source": [
"<a name='4.2'></a>\n",
"### 4.2 - Few Shot Inference\n",
"\n",
"Let's explore few shot inference by adding two more full dialogue-summary pairs to your prompt."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"tags": [],
"id": "KKEmshgBlehw",
"outputId": "8dd306eb-2d4d-4803-fd1e-ba62c2d7e12a"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Dialogue:\n",
"\n",
"#Person1#: What time is it, Tom?\n",
"#Person2#: Just a minute. It's ten to nine by my watch.\n",
"#Person1#: Is it? I had no idea it was so late. I must be off now.\n",
"#Person2#: What's the hurry?\n",
"#Person1#: I must catch the nine-thirty train.\n",
"#Person2#: You've plenty of time yet. The railway station is very close. It won't take more than twenty minutes to get there.\n",
"\n",
"What was going on?\n",
"#Person1# is in a hurry to catch a train. Tom tells #Person1# there is plenty of time.\n",
"\n",
"\n",
"\n",
"Dialogue:\n",
"\n",
"#Person1#: May, do you mind helping me prepare for the picnic?\n",
"#Person2#: Sure. Have you checked the weather report?\n",
"#Person1#: Yes. It says it will be sunny all day. No sign of rain at all. This is your father's favorite sausage. Sandwiches for you and Daniel.\n",
"#Person2#: No, thanks Mom. I'd like some toast and chicken wings.\n",
"#Person1#: Okay. Please take some fruit salad and crackers for me.\n",
"#Person2#: Done. Oh, don't forget to take napkins disposable plates, cups and picnic blanket.\n",
"#Person1#: All set. May, can you help me take all these things to the living room?\n",
"#Person2#: Yes, madam.\n",
"#Person1#: Ask Daniel to give you a hand?\n",
"#Person2#: No, mom, I can manage it by myself. His help just causes more trouble.\n",
"\n",
"What was going on?\n",
"Mom asks May to help to prepare for the picnic and May agrees.\n",
"\n",
"\n",
"\n",
"Dialogue:\n",
"\n",
"#Person1#: Hello, I bought the pendant in your shop, just before. \n",
"#Person2#: Yes. Thank you very much. \n",
"#Person1#: Now I come back to the hotel and try to show it to my friend, the pendant is broken, I'm afraid. \n",
"#Person2#: Oh, is it? \n",
"#Person1#: Would you change it to a new one? \n",
"#Person2#: Yes, certainly. You have the receipt? \n",
"#Person1#: Yes, I do. \n",
"#Person2#: Then would you kindly come to our shop with the receipt by 10 o'clock? We will replace it. \n",
"#Person1#: Thank you so much. \n",
"\n",
"What was going on?\n",
"#Person1# wants to change the broken pendant in #Person2#'s shop.\n",
"\n",
"\n",
"\n",
"Dialogue:\n",
"\n",
"#Person1#: Have you considered upgrading your system?\n",
"#Person2#: Yes, but I'm not sure what exactly I would need.\n",
"#Person1#: You could consider adding a painting program to your software. It would allow you to make up your own flyers and banners for advertising.\n",
"#Person2#: That would be a definite bonus.\n",
"#Person1#: You might also want to upgrade your hardware because it is pretty outdated now.\n",
"#Person2#: How can we do that?\n",
"#Person1#: You'd probably need a faster processor, to begin with. And you also need a more powerful hard disc, more memory and a faster modem. Do you have a CD-ROM drive?\n",
"#Person2#: No.\n",
"#Person1#: Then you might want to add a CD-ROM drive too, because most new software programs are coming out on Cds.\n",
"#Person2#: That sounds great. Thanks.\n",
"\n",
"What was going on?\n",
"\n"
]
}
],
"source": [
"example_indices_full = [40, 80, 120]\n",
"example_index_to_summarize = 200\n",
"\n",
"few_shot_prompt = make_prompt(example_indices_full, example_index_to_summarize)\n",
"\n",
"print(few_shot_prompt)"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [],
"id": "OhwB-7Zslehw"
},
"source": [
"Now pass this prompt to perform a few shot inference:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"tags": [],
"id": "I8QGy7wElehw",
"outputId": "462f71c2-79a2-45c5-9313-c488abfe2b33"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Token indices sequence length is longer than the specified maximum sequence length for this model (819 > 512). Running this sequence through the model will result in indexing errors\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"---------------------------------------------------------------------------------------------------\n",
"BASELINE HUMAN SUMMARY:\n",
"#Person1# teaches #Person2# how to upgrade software and hardware in #Person2#'s system.\n",
"\n",
"---------------------------------------------------------------------------------------------------\n",
"MODEL GENERATION - FEW SHOT:\n",
"#Person1 wants to upgrade his system. #Person2 wants to add a painting program to his software. #Person1 wants to upgrade his hardware.\n"
]
}
],
"source": [
"summary = dataset['test'][example_index_to_summarize]['summary']\n",
"\n",
"inputs = tokenizer(few_shot_prompt, return_tensors='pt')\n",
"output = tokenizer.decode(\n",
" model.generate(\n",
" inputs[\"input_ids\"],\n",
" max_new_tokens=50,\n",
" )[0],\n",
" skip_special_tokens=True\n",
")\n",
"\n",
"print(dash_line)\n",
"print(f'BASELINE HUMAN SUMMARY:\\n{summary}\\n')\n",
"print(dash_line)\n",
"print(f'MODEL GENERATION - FEW SHOT:\\n{output}')"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [],
"id": "BvwIJXQjlehx"
},
"source": [
"In this case, few shot did not provide much of an improvement over one shot inference. And, anything above 5 or 6 shot will typically not help much, either. Also, you need to make sure that you do not exceed the model's input-context length which, in our case, if 512 tokens. Anything above the context length will be ignored.\n",
"\n",
"However, you can see that feeding in at least one full example (one shot) provides the model with more information and qualitatively improves the summary overall."
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [],
"id": "gOAU6aSVlehx"
},
"source": [
"**Exercise:**\n",
"\n",
"Experiment with the few shot inferencing.\n",
"- Choose different dialogues - change the indices in the `example_indices_full` list and `example_index_to_summarize` value.\n",
"- Change the number of shots. Be sure to stay within the model's 512 context length, however.\n",
"\n",
"How well does few shot inferencing work with other examples?"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [],
"id": "GRTxwEhNlehx"
},
"source": [
"<a name='5'></a>\n",
"## 5 - Generative Configuration Parameters for Inference"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [],
"id": "-KsgZQA4lehx"
},
"source": [
"You can change the configuration parameters of the `generate()` method to see a different output from the LLM. So far the only parameter that you have been setting was `max_new_tokens=50`, which defines the maximum number of tokens to generate. A full list of available parameters can be found in the [Hugging Face Generation documentation](https://huggingface.co/docs/transformers/v4.29.1/en/main_classes/text_generation#transformers.GenerationConfig).\n",
"\n",
"A convenient way of organizing the configuration parameters is to use `GenerationConfig` class."
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [],
"id": "nfIkm-w_lehx"
},
"source": [
"**Exercise:**\n",
"\n",
"Change the configuration parameters to investigate their influence on the output.\n",
"\n",
"Putting the parameter `do_sample = True`, you activate various decoding strategies which influence the next token from the probability distribution over the entire vocabulary. You can then adjust the outputs changing `temperature` and other parameters (such as `top_k` and `top_p`).\n",
"\n",
"Uncomment the lines in the cell below and rerun the code. Try to analyze the results. You can read some comments below."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"tags": [],
"id": "p6-JMgvYlehx"
},
"outputs": [],
"source": [
"generation_config = GenerationConfig(max_new_tokens=50)\n",
"# generation_config = GenerationConfig(max_new_tokens=10)\n",
"# generation_config = GenerationConfig(max_new_tokens=50, do_sample=True, temperature=0.1)\n",
"# generation_config = GenerationConfig(max_new_tokens=50, do_sample=True, temperature=0.5)\n",
"# generation_config = GenerationConfig(max_new_tokens=50, do_sample=True, temperature=1.0)\n",
"\n",
"inputs = tokenizer(few_shot_prompt, return_tensors='pt')\n",
"output = tokenizer.decode(\n",
" model.generate(\n",
" inputs[\"input_ids\"],\n",
" generation_config=generation_config,\n",
" )[0],\n",
" skip_special_tokens=True\n",
")\n",
"\n",
"print(dash_line)\n",
"print(f'MODEL GENERATION - FEW SHOT:\\n{output}')\n",
"print(dash_line)\n",
"print(f'BASELINE HUMAN SUMMARY:\\n{summary}\\n')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "4ZTNHF2Xlehy"
},
"source": [
"Comments related to the choice of the parameters in the code cell above:\n",
"- Choosing `max_new_tokens=10` will make the output text too short, so the dialogue summary will be cut.\n",
"- Putting `do_sample = True` and changing the temperature value you get more flexibility in the output."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "mRSFqIS3lehy"
},
"source": [
"As you can see, prompt engineering can take you a long way for this use case, but there are some limitations. Next, you will start to explore how you can use fine-tuning to help your LLM to understand a particular use case in better depth!"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "fhpylXLNlehy"
},
"outputs": [],
"source": []
}
],
"metadata": {
"availableInstances": [
{
"_defaultOrder": 0,
"_isFastLaunch": true,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 4,
"name": "ml.t3.medium",
"vcpuNum": 2
},
{
"_defaultOrder": 1,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 8,
"name": "ml.t3.large",
"vcpuNum": 2
},
{
"_defaultOrder": 2,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 16,
"name": "ml.t3.xlarge",
"vcpuNum": 4
},
{
"_defaultOrder": 3,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 32,
"name": "ml.t3.2xlarge",
"vcpuNum": 8
},
{
"_defaultOrder": 4,
"_isFastLaunch": true,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 8,
"name": "ml.m5.large",
"vcpuNum": 2
},
{
"_defaultOrder": 5,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 16,
"name": "ml.m5.xlarge",
"vcpuNum": 4
},
{
"_defaultOrder": 6,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 32,
"name": "ml.m5.2xlarge",
"vcpuNum": 8
},
{
"_defaultOrder": 7,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 64,
"name": "ml.m5.4xlarge",
"vcpuNum": 16
},
{
"_defaultOrder": 8,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 128,
"name": "ml.m5.8xlarge",
"vcpuNum": 32
},
{
"_defaultOrder": 9,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 192,
"name": "ml.m5.12xlarge",
"vcpuNum": 48
},
{
"_defaultOrder": 10,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 256,
"name": "ml.m5.16xlarge",
"vcpuNum": 64
},
{
"_defaultOrder": 11,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 384,
"name": "ml.m5.24xlarge",
"vcpuNum": 96
},
{
"_defaultOrder": 12,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 8,
"name": "ml.m5d.large",
"vcpuNum": 2
},
{
"_defaultOrder": 13,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 16,
"name": "ml.m5d.xlarge",
"vcpuNum": 4
},
{
"_defaultOrder": 14,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 32,
"name": "ml.m5d.2xlarge",
"vcpuNum": 8
},
{
"_defaultOrder": 15,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 64,
"name": "ml.m5d.4xlarge",
"vcpuNum": 16
},
{
"_defaultOrder": 16,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 128,
"name": "ml.m5d.8xlarge",
"vcpuNum": 32
},
{
"_defaultOrder": 17,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 192,
"name": "ml.m5d.12xlarge",
"vcpuNum": 48
},
{
"_defaultOrder": 18,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 256,
"name": "ml.m5d.16xlarge",
"vcpuNum": 64
},
{
"_defaultOrder": 19,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 384,
"name": "ml.m5d.24xlarge",
"vcpuNum": 96
},
{
"_defaultOrder": 20,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": true,
"memoryGiB": 0,
"name": "ml.geospatial.interactive",
"supportedImageNames": [
"sagemaker-geospatial-v1-0"
],
"vcpuNum": 0
},
{
"_defaultOrder": 21,
"_isFastLaunch": true,
"category": "Compute optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 4,
"name": "ml.c5.large",
"vcpuNum": 2
},
{
"_defaultOrder": 22,
"_isFastLaunch": false,
"category": "Compute optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 8,
"name": "ml.c5.xlarge",
"vcpuNum": 4
},
{
"_defaultOrder": 23,
"_isFastLaunch": false,
"category": "Compute optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 16,
"name": "ml.c5.2xlarge",
"vcpuNum": 8
},
{
"_defaultOrder": 24,
"_isFastLaunch": false,
"category": "Compute optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 32,
"name": "ml.c5.4xlarge",
"vcpuNum": 16
},
{
"_defaultOrder": 25,
"_isFastLaunch": false,
"category": "Compute optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 72,
"name": "ml.c5.9xlarge",
"vcpuNum": 36
},
{
"_defaultOrder": 26,
"_isFastLaunch": false,
"category": "Compute optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 96,
"name": "ml.c5.12xlarge",
"vcpuNum": 48
},
{
"_defaultOrder": 27,
"_isFastLaunch": false,
"category": "Compute optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 144,
"name": "ml.c5.18xlarge",
"vcpuNum": 72
},
{
"_defaultOrder": 28,
"_isFastLaunch": false,
"category": "Compute optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 192,
"name": "ml.c5.24xlarge",
"vcpuNum": 96
},
{
"_defaultOrder": 29,
"_isFastLaunch": true,
"category": "Accelerated computing",
"gpuNum": 1,
"hideHardwareSpecs": false,
"memoryGiB": 16,
"name": "ml.g4dn.xlarge",
"vcpuNum": 4
},
{
"_defaultOrder": 30,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 1,
"hideHardwareSpecs": false,
"memoryGiB": 32,
"name": "ml.g4dn.2xlarge",
"vcpuNum": 8
},
{
"_defaultOrder": 31,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 1,
"hideHardwareSpecs": false,
"memoryGiB": 64,
"name": "ml.g4dn.4xlarge",
"vcpuNum": 16
},
{
"_defaultOrder": 32,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 1,
"hideHardwareSpecs": false,
"memoryGiB": 128,
"name": "ml.g4dn.8xlarge",
"vcpuNum": 32
},
{
"_defaultOrder": 33,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 4,
"hideHardwareSpecs": false,
"memoryGiB": 192,
"name": "ml.g4dn.12xlarge",
"vcpuNum": 48
},
{
"_defaultOrder": 34,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 1,
"hideHardwareSpecs": false,
"memoryGiB": 256,
"name": "ml.g4dn.16xlarge",
"vcpuNum": 64
},
{
"_defaultOrder": 35,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 1,
"hideHardwareSpecs": false,
"memoryGiB": 61,
"name": "ml.p3.2xlarge",
"vcpuNum": 8
},
{
"_defaultOrder": 36,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 4,
"hideHardwareSpecs": false,
"memoryGiB": 244,
"name": "ml.p3.8xlarge",
"vcpuNum": 32
},
{
"_defaultOrder": 37,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 8,
"hideHardwareSpecs": false,
"memoryGiB": 488,
"name": "ml.p3.16xlarge",
"vcpuNum": 64
},
{
"_defaultOrder": 38,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 8,
"hideHardwareSpecs": false,
"memoryGiB": 768,
"name": "ml.p3dn.24xlarge",
"vcpuNum": 96
},
{
"_defaultOrder": 39,
"_isFastLaunch": false,
"category": "Memory Optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 16,
"name": "ml.r5.large",
"vcpuNum": 2
},
{
"_defaultOrder": 40,
"_isFastLaunch": false,
"category": "Memory Optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 32,
"name": "ml.r5.xlarge",
"vcpuNum": 4
},
{
"_defaultOrder": 41,
"_isFastLaunch": false,
"category": "Memory Optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 64,
"name": "ml.r5.2xlarge",
"vcpuNum": 8
},
{
"_defaultOrder": 42,
"_isFastLaunch": false,
"category": "Memory Optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 128,
"name": "ml.r5.4xlarge",
"vcpuNum": 16
},
{
"_defaultOrder": 43,
"_isFastLaunch": false,
"category": "Memory Optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 256,
"name": "ml.r5.8xlarge",
"vcpuNum": 32
},
{
"_defaultOrder": 44,
"_isFastLaunch": false,
"category": "Memory Optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 384,
"name": "ml.r5.12xlarge",
"vcpuNum": 48
},
{
"_defaultOrder": 45,
"_isFastLaunch": false,
"category": "Memory Optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 512,
"name": "ml.r5.16xlarge",
"vcpuNum": 64
},
{
"_defaultOrder": 46,
"_isFastLaunch": false,
"category": "Memory Optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 768,
"name": "ml.r5.24xlarge",
"vcpuNum": 96
},
{
"_defaultOrder": 47,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 1,
"hideHardwareSpecs": false,
"memoryGiB": 16,
"name": "ml.g5.xlarge",
"vcpuNum": 4
},
{
"_defaultOrder": 48,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 1,
"hideHardwareSpecs": false,
"memoryGiB": 32,
"name": "ml.g5.2xlarge",
"vcpuNum": 8
},
{
"_defaultOrder": 49,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 1,
"hideHardwareSpecs": false,
"memoryGiB": 64,
"name": "ml.g5.4xlarge",
"vcpuNum": 16
},
{
"_defaultOrder": 50,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 1,
"hideHardwareSpecs": false,
"memoryGiB": 128,
"name": "ml.g5.8xlarge",
"vcpuNum": 32
},
{
"_defaultOrder": 51,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 1,
"hideHardwareSpecs": false,
"memoryGiB": 256,
"name": "ml.g5.16xlarge",
"vcpuNum": 64
},
{
"_defaultOrder": 52,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 4,
"hideHardwareSpecs": false,
"memoryGiB": 192,
"name": "ml.g5.12xlarge",
"vcpuNum": 48
},
{
"_defaultOrder": 53,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 4,
"hideHardwareSpecs": false,
"memoryGiB": 384,
"name": "ml.g5.24xlarge",
"vcpuNum": 96
},
{
"_defaultOrder": 54,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 8,
"hideHardwareSpecs": false,
"memoryGiB": 768,
"name": "ml.g5.48xlarge",
"vcpuNum": 192
},
{
"_defaultOrder": 55,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 8,
"hideHardwareSpecs": false,
"memoryGiB": 1152,
"name": "ml.p4d.24xlarge",
"vcpuNum": 96
},
{
"_defaultOrder": 56,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 8,
"hideHardwareSpecs": false,
"memoryGiB": 1152,
"name": "ml.p4de.24xlarge",
"vcpuNum": 96
}
],
"instance_type": "ml.m5.2xlarge",
"kernelspec": {
"display_name": "Python 3 (Data Science)",
"language": "python",
"name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east-1:081325390199:image/datascience-1.0"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.10"
},
"colab": {
"provenance": [],
"include_colab_link": true
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"6f7bbe5b3a4f4185b5613ff252e52c81": {
"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_caf16b484af54fd79d668f360bfe5372",
"IPY_MODEL_0a7e2866ffc24070bf739ddba8eb0822",
"IPY_MODEL_7996201a0fcf46628e6930d5cb51b3b2"
],
"layout": "IPY_MODEL_860265ecb1fa492f9fd3b1231fb5125d"
}
},
"caf16b484af54fd79d668f360bfe5372": {
"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_8916fa98c2ac4226acab41d5fbbeca2d",
"placeholder": "​",
"style": "IPY_MODEL_68cd1d4602c24c02aa9ddc797e66d862",
"value": "Downloading readme: 100%"
}
},
"0a7e2866ffc24070bf739ddba8eb0822": {
"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_451a2877ad5e479fb00a1c5941d0fa60",
"max": 4563,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_824d97379b1a4b27ac987a755fcf875c",
"value": 4563
}
},
"7996201a0fcf46628e6930d5cb51b3b2": {
"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_ff787812a10640ca931395d441071544",
"placeholder": "​",
"style": "IPY_MODEL_42cf41f998b644498448634d2dfec3fa",
"value": " 4.56k/4.56k [00:00&lt;00:00, 226kB/s]"
}
},
"860265ecb1fa492f9fd3b1231fb5125d": {
"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
}
},
"8916fa98c2ac4226acab41d5fbbeca2d": {
"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
}
},
"68cd1d4602c24c02aa9ddc797e66d862": {
"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": ""
}
},
"451a2877ad5e479fb00a1c5941d0fa60": {
"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
}
},
"824d97379b1a4b27ac987a755fcf875c": {
"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": ""
}
},
"ff787812a10640ca931395d441071544": {
"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
}
},
"42cf41f998b644498448634d2dfec3fa": {
"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": ""
}
},
"ea5a9004b94544aebd7e096cbbd92c4a": {
"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_2e7a60d2d0c04d29bd64d805a1d51b52",
"IPY_MODEL_c1a772f5a11b4a5a8a72af4b608ecda7",
"IPY_MODEL_3f1be3de5877423aa31900b307760cc7"
],
"layout": "IPY_MODEL_2a936672bf8a43c7bed707e6e0842cd8"
}
},
"2e7a60d2d0c04d29bd64d805a1d51b52": {
"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_c8d1877efedc4184b705b16dd3ebefc2",
"placeholder": "​",
"style": "IPY_MODEL_2dc392089cbc4d13aac52e45318b3186",
"value": "Downloading data files: 100%"
}
},
"c1a772f5a11b4a5a8a72af4b608ecda7": {
"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_932a546c07314987a513541f629e319e",
"max": 3,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_35711bab422d4217b2c5018b0456cc47",
"value": 3
}
},
"3f1be3de5877423aa31900b307760cc7": {
"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_48d1298cd8a6468c862eea5b8c72b321",
"placeholder": "​",
"style": "IPY_MODEL_921cb4faf1ee4570a9a181b654f47eed",
"value": " 3/3 [00:01&lt;00:00, 2.12it/s]"
}
},
"2a936672bf8a43c7bed707e6e0842cd8": {
"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
}
},
"c8d1877efedc4184b705b16dd3ebefc2": {
"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
}
},
"2dc392089cbc4d13aac52e45318b3186": {
"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": ""
}
},
"932a546c07314987a513541f629e319e": {
"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
}
},
"35711bab422d4217b2c5018b0456cc47": {
"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": ""
}
},
"48d1298cd8a6468c862eea5b8c72b321": {
"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
}
},
"921cb4faf1ee4570a9a181b654f47eed": {
"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": ""
}
},
"eca3d956b2f144dd922f732c00143a9c": {
"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_e691e1a389264580b741867e6e50dc5e",
"IPY_MODEL_fdcbdceb86574753a61d8418d0b0d12a",
"IPY_MODEL_d334ab5569f54d6aba0ebcad749b340c"
],
"layout": "IPY_MODEL_dffbfeaaf19c468a895422eb0558a328"
}
},
"e691e1a389264580b741867e6e50dc5e": {
"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_73f1eba4ffc746d6bc22248bf6d0a6bb",
"placeholder": "​",
"style": "IPY_MODEL_156f1cce9b244494a0d1eef377800aaf",
"value": "Downloading data: 100%"
}
},
"fdcbdceb86574753a61d8418d0b0d12a": {
"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_4a282570b37343328959a15b5f66ed21",
"max": 11321474,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_59176b9618b94da782ef96f656be0d67",
"value": 11321474
}
},
"d334ab5569f54d6aba0ebcad749b340c": {
"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_b9023ebb1a7f4a6087bd5a0dac1a96e0",
"placeholder": "​",
"style": "IPY_MODEL_e5e3d79012eb4b33b17b600dff1d767f",
"value": " 11.3M/11.3M [00:00&lt;00:00, 32.7MB/s]"
}
},
"dffbfeaaf19c468a895422eb0558a328": {
"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
}
},
"73f1eba4ffc746d6bc22248bf6d0a6bb": {
"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
}
},
"156f1cce9b244494a0d1eef377800aaf": {
"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": ""
}
},
"4a282570b37343328959a15b5f66ed21": {
"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
}
},
"59176b9618b94da782ef96f656be0d67": {
"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": ""
}
},
"b9023ebb1a7f4a6087bd5a0dac1a96e0": {
"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
}
},
"e5e3d79012eb4b33b17b600dff1d767f": {
"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": ""
}
},
"07db79a88057439697fea4adaa019169": {
"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_440e5a5f467f4c76b12b83ef3a775564",
"IPY_MODEL_168085414b75492eb1ce73a309e3887e",
"IPY_MODEL_70f420553af748c6929e9946d66e4bd1"
],
"layout": "IPY_MODEL_7bbbc98420ec43e4a1cd5824944e42a8"
}
},
"440e5a5f467f4c76b12b83ef3a775564": {
"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_3860491af38749dca5775bbb340ccc59",
"placeholder": "​",
"style": "IPY_MODEL_7c086a8a1e544c00b40ab55a35be5d10",
"value": "Downloading data: 100%"
}
},
"168085414b75492eb1ce73a309e3887e": {
"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_5a5c5e997cf8417cae2b1b133c5880df",
"max": 1353147,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_cb4e95f244b7497abd3c141c0115b171",
"value": 1353147
}
},
"70f420553af748c6929e9946d66e4bd1": {
"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_0b5a54f162f745d3be225651c6308279",
"placeholder": "​",
"style": "IPY_MODEL_2194e71307de4b75844116687de03b3b",
"value": " 1.35M/1.35M [00:00&lt;00:00, 6.40MB/s]"
}
},
"7bbbc98420ec43e4a1cd5824944e42a8": {
"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
}
},
"3860491af38749dca5775bbb340ccc59": {
"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
}
},
"7c086a8a1e544c00b40ab55a35be5d10": {
"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": ""
}
},
"5a5c5e997cf8417cae2b1b133c5880df": {
"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
}
},
"cb4e95f244b7497abd3c141c0115b171": {
"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": ""
}
},
"0b5a54f162f745d3be225651c6308279": {
"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
}
},
"2194e71307de4b75844116687de03b3b": {
"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": ""
}
},
"33c43fea64524b569316b14e045ec4ab": {
"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_c77ab50eccff434c92be3949976a08af",
"IPY_MODEL_fe7e26e92db945818619eb4ec2421e41",
"IPY_MODEL_fdb84cd16c874d5a9f2470cd69f751f6"
],
"layout": "IPY_MODEL_317f516e74324bb182b338416262f420"
}
},
"c77ab50eccff434c92be3949976a08af": {
"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_dfcc8cc239a04a959023a17820b2ea18",
"placeholder": "​",
"style": "IPY_MODEL_ed7e27f5b78f4f78b3eea416fbead16c",
"value": "Downloading data: 100%"
}
},
"fe7e26e92db945818619eb4ec2421e41": {
"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_2357746de9f444168a06f543d21eaaf8",
"max": 441935,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_9e70772f47fb4ad38140d884ab7e1178",
"value": 441935
}
},
"fdb84cd16c874d5a9f2470cd69f751f6": {
"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_e9be4ac99a9c47f29c9e87508eacaa4c",
"placeholder": "​",
"style": "IPY_MODEL_5d63a27b53964a90a550ad6e769b0f55",
"value": " 442k/442k [00:00&lt;00:00, 4.63MB/s]"
}
},
"317f516e74324bb182b338416262f420": {
"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
}
},
"dfcc8cc239a04a959023a17820b2ea18": {
"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
}
},
"ed7e27f5b78f4f78b3eea416fbead16c": {
"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": ""
}
},
"2357746de9f444168a06f543d21eaaf8": {
"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
}
},
"9e70772f47fb4ad38140d884ab7e1178": {
"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": ""
}
},
"e9be4ac99a9c47f29c9e87508eacaa4c": {
"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
}
},
"5d63a27b53964a90a550ad6e769b0f55": {
"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": ""
}
},
"33da82ad5858498abd975219dbd37175": {
"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_5c58359376ad4f2286d643f062f8a8a4",
"IPY_MODEL_30f0f632e45f4aa789b7c50e822a558e",
"IPY_MODEL_e8188ea7ee064f1198fc16f19a6938d9"
],
"layout": "IPY_MODEL_6db3bd03a54f4b1f9043522b0a00e44c"
}
},
"5c58359376ad4f2286d643f062f8a8a4": {
"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_3262e01bc8d94df7a47fe5d31f3bee96",
"placeholder": "​",
"style": "IPY_MODEL_ef4df34e007a4349b9e3542f983770d1",
"value": "Extracting data files: 100%"
}
},
"30f0f632e45f4aa789b7c50e822a558e": {
"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_f0c9fc563a114e9fa61b3c502bb3cea4",
"max": 3,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_6e96a6fe3e024cc99f59fb5f0082fa58",
"value": 3
}
},
"e8188ea7ee064f1198fc16f19a6938d9": {
"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_8cb2cfabcd8741c3b80953c0995a722b",
"placeholder": "​",
"style": "IPY_MODEL_23b173ed3c9e43ae8f254919fd721597",
"value": " 3/3 [00:00&lt;00:00, 105.53it/s]"
}
},
"6db3bd03a54f4b1f9043522b0a00e44c": {
"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
}
},
"3262e01bc8d94df7a47fe5d31f3bee96": {
"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
}
},
"ef4df34e007a4349b9e3542f983770d1": {
"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": ""
}
},
"f0c9fc563a114e9fa61b3c502bb3cea4": {
"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
}
},
"6e96a6fe3e024cc99f59fb5f0082fa58": {
"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": ""
}
},
"8cb2cfabcd8741c3b80953c0995a722b": {
"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
}
},
"23b173ed3c9e43ae8f254919fd721597": {
"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": ""
}
},
"6eb0b898066c478f89754fe0de334f6e": {
"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_0ba97f38f8ff457c89679a6c372f707b",
"IPY_MODEL_03d68af3774a4faebf831b67df5f1f79",
"IPY_MODEL_01e96b5cd95146c5aed45d8013697ed9"
],
"layout": "IPY_MODEL_957d9c22a38b48f0b9c892e58eaa6af0"
}
},
"0ba97f38f8ff457c89679a6c372f707b": {
"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_a6a2541a42c44474bd65f1bae022d0b7",
"placeholder": "​",
"style": "IPY_MODEL_c85977b1aae74d48913a0203ef66bfa8",
"value": "Generating train split: "
}
},
"03d68af3774a4faebf831b67df5f1f79": {
"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": "info",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_1a497a3a22b342ac9ba7d2af11b3dd0a",
"max": 1,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_f101887116dd4a88bccc71bdfe5a649d",
"value": 1
}
},
"01e96b5cd95146c5aed45d8013697ed9": {
"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_6f2676aa2ed2496ab7559779526cda88",
"placeholder": "​",
"style": "IPY_MODEL_12a7a2e10c144ff986d3c0eafbc9878a",
"value": " 10000/0 [00:00&lt;00:00, 24608.16 examples/s]"
}
},
"957d9c22a38b48f0b9c892e58eaa6af0": {
"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": "hidden",
"width": null
}
},
"a6a2541a42c44474bd65f1bae022d0b7": {
"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
}
},
"c85977b1aae74d48913a0203ef66bfa8": {
"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": ""
}
},
"1a497a3a22b342ac9ba7d2af11b3dd0a": {
"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"
}
},
"f101887116dd4a88bccc71bdfe5a649d": {
"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": ""
}
},
"6f2676aa2ed2496ab7559779526cda88": {
"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
}
},
"12a7a2e10c144ff986d3c0eafbc9878a": {
"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": ""
}
},
"c89a7045eb6f412383c0a101152bb7d6": {
"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_28855f7cc75241c2a431413e735baf53",
"IPY_MODEL_0a71773ab40245da82ddc77c7b4c064b",
"IPY_MODEL_515f910e030347cea99125ebfb6fe3cb"
],
"layout": "IPY_MODEL_ef9a0e1086dd464193b90351dcd04091"
}
},
"28855f7cc75241c2a431413e735baf53": {
"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_c2d81763056e43eeb5166d3ae659ff10",
"placeholder": "​",
"style": "IPY_MODEL_156a0e9a9c494b9884859ed4837be3ba",
"value": "Generating test split: "
}
},
"0a71773ab40245da82ddc77c7b4c064b": {
"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": "info",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_d2f98858673945b3b147788a917e1b06",
"max": 1,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_076d326be9a542d6a0dd10cc1313816d",
"value": 1
}
},
"515f910e030347cea99125ebfb6fe3cb": {
"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_ed5122ec13eb438b84e7e8179137504b",
"placeholder": "​",
"style": "IPY_MODEL_c3affd0ba15146ce8bc789246d351da9",
"value": " 0/0 [00:00&lt;?, ? examples/s]"
}
},
"ef9a0e1086dd464193b90351dcd04091": {
"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": "hidden",
"width": null
}
},
"c2d81763056e43eeb5166d3ae659ff10": {
"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
}
},
"156a0e9a9c494b9884859ed4837be3ba": {
"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": ""
}
},
"d2f98858673945b3b147788a917e1b06": {
"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"
}
},
"076d326be9a542d6a0dd10cc1313816d": {
"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": ""
}
},
"ed5122ec13eb438b84e7e8179137504b": {
"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
}
},
"c3affd0ba15146ce8bc789246d351da9": {
"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": ""
}
},
"bb4340f9b72a4456bf19efa9560b26e8": {
"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_44998e8c8c614229a7a4c859f6a36c05",
"IPY_MODEL_77295626ad684e74bb88f55cc35387a8",
"IPY_MODEL_d0ab439c42f24acdb152956da9741ea7"
],
"layout": "IPY_MODEL_b8c8be6b85974452b147f6f688cf9a3f"
}
},
"44998e8c8c614229a7a4c859f6a36c05": {
"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_7debdfcf5184418486578a1f38c974b3",
"placeholder": "​",
"style": "IPY_MODEL_b1031400d9f4471f9da5cdcdbbea3921",
"value": "Generating validation split: "
}
},
"77295626ad684e74bb88f55cc35387a8": {
"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": "info",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_7ac14cae707e477d88d09bc820ea1278",
"max": 1,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_eb6c67f84a004231a477d7dc08d232cd",
"value": 1
}
},
"d0ab439c42f24acdb152956da9741ea7": {
"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_21080ff5efa042deb0049cffbafcbe73",
"placeholder": "​",
"style": "IPY_MODEL_48918dc2bb1641129a385e419898e06a",
"value": " 0/0 [00:00&lt;?, ? examples/s]"
}
},
"b8c8be6b85974452b147f6f688cf9a3f": {
"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": "hidden",
"width": null
}
},
"7debdfcf5184418486578a1f38c974b3": {
"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
}
},
"b1031400d9f4471f9da5cdcdbbea3921": {
"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": ""
}
},
"7ac14cae707e477d88d09bc820ea1278": {
"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"
}
},
"eb6c67f84a004231a477d7dc08d232cd": {
"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": ""
}
},
"21080ff5efa042deb0049cffbafcbe73": {
"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
}
},
"48918dc2bb1641129a385e419898e06a": {
"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": ""
}
},
"ddba42cc10084f9bad5f9b74ddd48041": {
"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_bca1efe11aeb4b1391370cd702c819e0",
"IPY_MODEL_ad8eba06ccd44396b860c9134ee2a680",
"IPY_MODEL_3cc3bc8c7e3e4d82a24070da1c33b3a9"
],
"layout": "IPY_MODEL_48e98568500946ae858ee1f438802d52"
}
},
"bca1efe11aeb4b1391370cd702c819e0": {
"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_d49655c3ee5c462fa2e096c4d614f14d",
"placeholder": "​",
"style": "IPY_MODEL_183377dbf4424110b7365e9f8f51367c",
"value": "100%"
}
},
"ad8eba06ccd44396b860c9134ee2a680": {
"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_094774694cbf49cd95fb9604cf6f2ad8",
"max": 3,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_d50c1f07012e4e09a3572531b80c0595",
"value": 3
}
},
"3cc3bc8c7e3e4d82a24070da1c33b3a9": {
"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_950222534c164f34ae118dee99fa0757",
"placeholder": "​",
"style": "IPY_MODEL_2339b7f243dc45c589c32e7bb225dea7",
"value": " 3/3 [00:00&lt;00:00, 66.55it/s]"
}
},
"48e98568500946ae858ee1f438802d52": {
"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
}
},
"d49655c3ee5c462fa2e096c4d614f14d": {
"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
}
},
"183377dbf4424110b7365e9f8f51367c": {
"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": ""
}
},
"094774694cbf49cd95fb9604cf6f2ad8": {
"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
}
},
"d50c1f07012e4e09a3572531b80c0595": {
"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": ""
}
},
"950222534c164f34ae118dee99fa0757": {
"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
}
},
"2339b7f243dc45c589c32e7bb225dea7": {
"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": ""
}
},
"13f4dfafd9c147e49d14acb6fb0a44b2": {
"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_bdf112e47cfe4bbb97f28aae9a9f1ce1",
"IPY_MODEL_ab5cd090390545139779e59d818ede32",
"IPY_MODEL_820f66003d5e4bbd98f62c00e5224366"
],
"layout": "IPY_MODEL_895ee6da6506484c95e762f009bf15dc"
}
},
"bdf112e47cfe4bbb97f28aae9a9f1ce1": {
"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_f990977143a447e7af249abcd5f413de",
"placeholder": "​",
"style": "IPY_MODEL_4695878735294b2e8719898eceb0985a",
"value": "Downloading (…)lve/main/config.json: 100%"
}
},
"ab5cd090390545139779e59d818ede32": {
"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_cfd6397ec57848aba81724fa49e488ad",
"max": 1404,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_fddf4f997e0a4ff88c19f38c9f224292",
"value": 1404
}
},
"820f66003d5e4bbd98f62c00e5224366": {
"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_6db6eade30764ded9a7ce6fe1e9d54bf",
"placeholder": "​",
"style": "IPY_MODEL_4f503c49068444c497b29f7986169c83",
"value": " 1.40k/1.40k [00:00&lt;00:00, 50.7kB/s]"
}
},
"895ee6da6506484c95e762f009bf15dc": {
"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
}
},
"f990977143a447e7af249abcd5f413de": {
"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
}
},
"4695878735294b2e8719898eceb0985a": {
"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": ""
}
},
"cfd6397ec57848aba81724fa49e488ad": {
"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
}
},
"fddf4f997e0a4ff88c19f38c9f224292": {
"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": ""
}
},
"6db6eade30764ded9a7ce6fe1e9d54bf": {
"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
}
},
"4f503c49068444c497b29f7986169c83": {
"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": ""
}
},
"9a130f42c1b44065aa5c5072e20998cf": {
"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_61195a5c3f4c4682bb79635e5397d5ff",
"IPY_MODEL_673bbac5ec7f47ceba130dea82a25525",
"IPY_MODEL_5f2f101bc15341babb7cb589d81eb31a"
],
"layout": "IPY_MODEL_7b6588a1eaeb42bbb95bae6887d1a50d"
}
},
"61195a5c3f4c4682bb79635e5397d5ff": {
"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_5e93f91d15c14f73a9b5c2a4c93ba3c7",
"placeholder": "​",
"style": "IPY_MODEL_fdb15c0b05dc462ba8bb463aa3149dfc",
"value": "Downloading pytorch_model.bin: 100%"
}
},
"673bbac5ec7f47ceba130dea82a25525": {
"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_7e56917ae8934b5a9f80c8f14e38d04b",
"max": 990402637,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_cffd165860604900a76e37d6b4717c88",
"value": 990402637
}
},
"5f2f101bc15341babb7cb589d81eb31a": {
"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_53c4ee6fe2214d8a98502f6b772e4f46",
"placeholder": "​",
"style": "IPY_MODEL_33ff17254e3e4198a732ef3a713ed4e3",
"value": " 990M/990M [00:10&lt;00:00, 110MB/s]"
}
},
"7b6588a1eaeb42bbb95bae6887d1a50d": {
"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
}
},
"5e93f91d15c14f73a9b5c2a4c93ba3c7": {
"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
}
},
"fdb15c0b05dc462ba8bb463aa3149dfc": {
"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": ""
}
},
"7e56917ae8934b5a9f80c8f14e38d04b": {
"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
}
},
"cffd165860604900a76e37d6b4717c88": {
"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": ""
}
},
"53c4ee6fe2214d8a98502f6b772e4f46": {
"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
}
},
"33ff17254e3e4198a732ef3a713ed4e3": {
"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": ""
}
},
"8f16d4dbe32a4b08be47689a944cc74d": {
"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_fa82638d75654e3196c6b0af20e2e327",
"IPY_MODEL_b1c4055b8f48466aaaa8399f8bc6d29f",
"IPY_MODEL_04f580501fc1491fabb06d00a05bf88c"
],
"layout": "IPY_MODEL_9b76b5340365486bbe25f766286b6cb8"
}
},
"fa82638d75654e3196c6b0af20e2e327": {
"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_42bc1f017a764ec3bcc52349d1639fc6",
"placeholder": "​",
"style": "IPY_MODEL_3b8b3d978e4e468c84078ceea4ab697d",
"value": "Downloading (…)neration_config.json: 100%"
}
},
"b1c4055b8f48466aaaa8399f8bc6d29f": {
"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_3290d879c7f74facb3c65bc226cf1a7d",
"max": 147,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_0434a7044aab4ac0b14e10bdd2f3b4ed",
"value": 147
}
},
"04f580501fc1491fabb06d00a05bf88c": {
"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_6744f2eb264344008fedb77862a38858",
"placeholder": "​",
"style": "IPY_MODEL_21343bef3678407b8201243b68e3cc68",
"value": " 147/147 [00:00&lt;00:00, 7.79kB/s]"
}
},
"9b76b5340365486bbe25f766286b6cb8": {
"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
}
},
"42bc1f017a764ec3bcc52349d1639fc6": {
"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
}
},
"3b8b3d978e4e468c84078ceea4ab697d": {
"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": ""
}
},
"3290d879c7f74facb3c65bc226cf1a7d": {
"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
}
},
"0434a7044aab4ac0b14e10bdd2f3b4ed": {
"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": ""
}
},
"6744f2eb264344008fedb77862a38858": {
"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
}
},
"21343bef3678407b8201243b68e3cc68": {
"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": ""
}
},
"4ee1830ff2284d34aa833af84579e487": {
"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_149db271e6a44841aea50ea74821619b",
"IPY_MODEL_d4c7a726a5ef4cfbb475f61067f59df6",
"IPY_MODEL_ea1bf52055f949bd88eebcd1b78dd4e7"
],
"layout": "IPY_MODEL_9977684d90254371b08994a606d9d27d"
}
},
"149db271e6a44841aea50ea74821619b": {
"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_4f760b37847d493880318a20c7947b94",
"placeholder": "​",
"style": "IPY_MODEL_e202aed83d1e4c549ec4e063cd4853e9",
"value": "Downloading (…)okenizer_config.json: 100%"
}
},
"d4c7a726a5ef4cfbb475f61067f59df6": {
"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_7b154eb0afb2434e856283c30510c702",
"max": 2537,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_9e75992943b64996b8343d055728cd9b",
"value": 2537
}
},
"ea1bf52055f949bd88eebcd1b78dd4e7": {
"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_6711ca452fb2464095c30a8a92e5ca6f",
"placeholder": "​",
"style": "IPY_MODEL_56ac7e9e6f8b49059a20a35265b782d3",
"value": " 2.54k/2.54k [00:00&lt;00:00, 52.7kB/s]"
}
},
"9977684d90254371b08994a606d9d27d": {
"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
}
},
"4f760b37847d493880318a20c7947b94": {
"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
}
},
"e202aed83d1e4c549ec4e063cd4853e9": {
"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": ""
}
},
"7b154eb0afb2434e856283c30510c702": {
"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
}
},
"9e75992943b64996b8343d055728cd9b": {
"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": ""
}
},
"6711ca452fb2464095c30a8a92e5ca6f": {
"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
}
},
"56ac7e9e6f8b49059a20a35265b782d3": {
"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": ""
}
},
"a116d766bfdc49cfa7cd03d1961265a9": {
"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_6b494cee98c0458fbdb87dd40e64017d",
"IPY_MODEL_c05e9272a40c4abea2aeef31af23abfd",
"IPY_MODEL_aa68679193e2457f88f08219790b3661"
],
"layout": "IPY_MODEL_9c71849cf8a846a0914dda1c1ab66771"
}
},
"6b494cee98c0458fbdb87dd40e64017d": {
"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_710c50630914453982db7168d2041174",
"placeholder": "​",
"style": "IPY_MODEL_0d29e5dd87e64355844c9fb79ad0c133",
"value": "Downloading spiece.model: 100%"
}
},
"c05e9272a40c4abea2aeef31af23abfd": {
"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_48c6b555045a450ca3cf854f44e9866f",
"max": 791656,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_efb5b707fe364adbb75b306617ed15aa",
"value": 791656
}
},
"aa68679193e2457f88f08219790b3661": {
"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_ae5a9701cf7c465aa337ba35b0b3de0d",
"placeholder": "​",
"style": "IPY_MODEL_8d4a5d8ae0c5481bbd52caa6df10db89",
"value": " 792k/792k [00:00&lt;00:00, 5.64MB/s]"
}
},
"9c71849cf8a846a0914dda1c1ab66771": {
"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
}
},
"710c50630914453982db7168d2041174": {
"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
}
},
"0d29e5dd87e64355844c9fb79ad0c133": {
"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": ""
}
},
"48c6b555045a450ca3cf854f44e9866f": {
"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
}
},
"efb5b707fe364adbb75b306617ed15aa": {
"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": ""
}
},
"ae5a9701cf7c465aa337ba35b0b3de0d": {
"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
}
},
"8d4a5d8ae0c5481bbd52caa6df10db89": {
"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": ""
}
},
"78ebb0aeb224484b8bc8d10a82c09540": {
"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_6b1e76bcbe26441bb92ef32f87538200",
"IPY_MODEL_50e58307d9f246d293fcbe8a27073128",
"IPY_MODEL_70508819de6e491cbf577b9d3308a26b"
],
"layout": "IPY_MODEL_68c9d89d315d4f02b1e435a9029d0993"
}
},
"6b1e76bcbe26441bb92ef32f87538200": {
"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_c2eb7482ccfd4b7da844992ab63c1eb0",
"placeholder": "​",
"style": "IPY_MODEL_99fc0ee2485e44dab921f822105153bc",
"value": "Downloading (…)/main/tokenizer.json: 100%"
}
},
"50e58307d9f246d293fcbe8a27073128": {
"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_8ed96a1e3c3b495b91cdf0e12f7d66b7",
"max": 2424064,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_76e960d04b8145578ff47c863f8c97d5",
"value": 2424064
}
},
"70508819de6e491cbf577b9d3308a26b": {
"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_86d6b1f9551f445aa0d6d63a135e8168",
"placeholder": "​",
"style": "IPY_MODEL_c29a453932b5472b9435aa7b0cf96dea",
"value": " 2.42M/2.42M [00:00&lt;00:00, 10.9MB/s]"
}
},
"68c9d89d315d4f02b1e435a9029d0993": {
"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
}
},
"c2eb7482ccfd4b7da844992ab63c1eb0": {
"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
}
},
"99fc0ee2485e44dab921f822105153bc": {
"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": ""
}
},
"8ed96a1e3c3b495b91cdf0e12f7d66b7": {
"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
}
},
"76e960d04b8145578ff47c863f8c97d5": {
"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": ""
}
},
"86d6b1f9551f445aa0d6d63a135e8168": {
"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
}
},
"c29a453932b5472b9435aa7b0cf96dea": {
"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": ""
}
},
"f5106fdcb53c4edbbcac33ff15483beb": {
"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_7a86dac722ac401a9f95b8a0adf7d532",
"IPY_MODEL_54114014618d4bc6a1124a96b1b7f512",
"IPY_MODEL_97f459122fe8454491fc1cc20b166564"
],
"layout": "IPY_MODEL_791e813cf7fd4628a6d994a7abbb499e"
}
},
"7a86dac722ac401a9f95b8a0adf7d532": {
"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_da3c6b442c8f4964ac80217636d8c4f2",
"placeholder": "​",
"style": "IPY_MODEL_5aa4ee88d7ff4f7db4a198175eac930a",
"value": "Downloading (…)cial_tokens_map.json: 100%"
}
},
"54114014618d4bc6a1124a96b1b7f512": {
"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_2e1e9605b3934a11a12081b6b7e1f2c7",
"max": 2201,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_6891c4573ffd44ad9beb402b1dc5868c",
"value": 2201
}
},
"97f459122fe8454491fc1cc20b166564": {
"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_8e73860c64904278a65955dc658b9234",
"placeholder": "​",
"style": "IPY_MODEL_b36830a86a2d40ec9f06fc82c81352e8",
"value": " 2.20k/2.20k [00:00&lt;00:00, 19.3kB/s]"
}
},
"791e813cf7fd4628a6d994a7abbb499e": {
"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
}
},
"da3c6b442c8f4964ac80217636d8c4f2": {
"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
}
},
"5aa4ee88d7ff4f7db4a198175eac930a": {
"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": ""
}
},
"2e1e9605b3934a11a12081b6b7e1f2c7": {
"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
}
},
"6891c4573ffd44ad9beb402b1dc5868c": {
"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": ""
}
},
"8e73860c64904278a65955dc658b9234": {
"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
}
},
"b36830a86a2d40ec9f06fc82c81352e8": {
"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": 0
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment