{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "8AkMyMrAsy6k" }, "source": [ "# 1. Library & Modules" ] }, { "cell_type": "markdown", "metadata": { "id": "Ro1vT2uBr_P2" }, "source": [ "# Libraries" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "F2bWjYkZqTeH" }, "outputs": [], "source": [ "# %%capture\n", "# %pip install accelerate peft bitsandbytes transformers trl\n", "# %pip install --upgrade huggingface_hub" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "_AIasNETy2MA", "outputId": "c9b7928c-3db7-410b-8b0e-a7ab9bff5492" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/bin/bash: line 1: huggingface-cli: command not found\n" ] } ], "source": [ "#Generate Token from Hf and enter\n", "!huggingface-cli login --token" ] }, { "cell_type": "markdown", "metadata": { "id": "0tEZT4a0shcL" }, "source": [ "# Necessary modules from libraries" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "id": "HwiTB8B9rvmx" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/ubuntu/anaconda3/envs/item_group/lib/python3.9/site-packages/torch/cuda/__init__.py:138: UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 11040). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:108.)\n", " return torch._C._cuda_getDeviceCount() > 0\n", "/home/ubuntu/anaconda3/envs/item_group/lib/python3.9/site-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n", " warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "/home/ubuntu/anaconda3/envs/item_group/lib/python3.9/site-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/ubuntu/anaconda3/envs/item_group/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n", "/home/ubuntu/anaconda3/envs/item_group/lib/python3.9/site-packages/trl/trainer/ppo_config.py:141: UserWarning: The `optimize_cuda_cache` arguement will be deprecated soon, please use `optimize_device_cache` instead.\n", " warnings.warn(\n" ] } ], "source": [ "import pandas as pd \n", "import argparse\n", "import bitsandbytes as bnb\n", "from functools import partial\n", "import os\n", "import torch\n", "from datasets import load_dataset\n", "from transformers import (\n", " AutoModelForCausalLM,\n", " AutoTokenizer,\n", " set_seed,\n", " Trainer,\n", " TrainingArguments,\n", " BitsAndBytesConfig,\n", " DataCollatorForLanguageModeling,\n", " TrainingArguments,\n", " pipeline,\n", " logging\n", ")\n", "from peft import LoraConfig, get_peft_model, prepare_model_for_kbit_training, AutoPeftModelForCausalLM\n", "from trl import SFTTrainer" ] }, { "cell_type": "code", "execution_count": 48, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Xg_gBMqC8nCE", "outputId": "0d051ccf-c19b-426b-f555-4bc22909a603" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "torch.cuda.memory_allocated: 0.000000GB\n", "torch.cuda.memory_reserved: 0.000000GB\n", "torch.cuda.max_memory_reserved: 0.000000GB\n" ] } ], "source": [ "print(\"torch.cuda.memory_allocated: %fGB\"%(torch.cuda.memory_allocated(0)/1024/1024/1024))\n", "print(\"torch.cuda.memory_reserved: %fGB\"%(torch.cuda.memory_reserved(0)/1024/1024/1024))\n", "print(\"torch.cuda.max_memory_reserved: %fGB\"%(torch.cuda.max_memory_reserved(0)/1024/1024/1024))" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "df= pd.read_excel(\"/home/ubuntu/item_multiple_group/data/main_data.xlsx\")" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "df= pd.read_csv(\"/home/ubuntu/item_multiple_group/data/main_data_.csv\")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(3989, 11)" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.shape" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "df.to_csv('/home/ubuntu/item_multiple_group/data/main_data_.csv', index=False)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": { "id": "I1fL1IOvs_rE" }, "source": [ "# 2. Model configuration" ] }, { "cell_type": "markdown", "metadata": { "id": "3_DwiD79tOT7" }, "source": [ "## Using NousReaswarch's Llama-2-7b-chat-hf model from hugging face as base model." ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "id": "fKAC6hXLseaQ" }, "outputs": [], "source": [ "#base_model = \"Llama-2-7b.Q4_K_M.gguf\"\n", "\n", "#new_model = \"llama-2-7b-\"\n", "\n", "def load_model(model_name, bnb_config):\n", " n_gpus = torch.cuda.device_count()\n", " max_memory = f'{40960}MB'\n", " model = AutoModelForCausalLM.from_pretrained(\n", " model_name,\n", " quantization_config = bnb_config,\n", " device_map = \"auto\",\n", " max_memory = {i: max_memory for i in range(n_gpus)}\n", " #device = [0,1,2,3],\n", " )\n", " tokenizer = AutoTokenizer.from_pretrained(model_name, use_auth_token=True)\n", "\n", " tokenizer.pad_token = tokenizer.eos_token\n", "\n", " return model, tokenizer" ] }, { "cell_type": "markdown", "metadata": { "id": "Tgz5VkZ_xL8h" }, "source": [ "# 3. Pre-processing dataset\n" ] }, { "cell_type": "markdown", "metadata": { "id": "L032Ggo0fE00" }, "source": [ "### Load Dataset" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Downloading data files: 100%|██████████| 1/1 [00:00<00:00, 2245.34it/s]\n", "Extracting data files: 100%|██████████| 1/1 [00:00<00:00, 563.52it/s]\n", "Generating train split: 3989 examples [00:00, 15252.93 examples/s]\n" ] } ], "source": [ "from datasets import load_dataset\n", "dataset = load_dataset('csv', data_files='/home/ubuntu/item_multiple_group/data/main_data_.csv')" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "ename": "TypeError", "evalue": "string indices must be integers", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", "Input \u001b[0;32mIn [24]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m key \u001b[38;5;129;01min\u001b[39;00m keys_to_print:\n\u001b[1;32m 13\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m key \u001b[38;5;129;01min\u001b[39;00m example:\n\u001b[0;32m---> 14\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkey\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mexample[key]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n", "\u001b[0;31mTypeError\u001b[0m: string indices must be integers" ] } ], "source": [ "# train_dataset = dataset['train']\n", "# for example in train_dataset[:5]:\n", "# print(example)\n", "\n", "train_dataset = dataset['train']\n", "\n", "# Specify the keys you want to print\n", "keys_to_print = ['text', 'question', 'key-1', 'key-1(right)', 'key-1(wrong)', 'key-2', 'key-2(right)', 'key-2(wrong)']\n", "\n", "# Print the values of the specified keys for the first five examples\n", "for example in train_dataset[:5]:\n", " for key in keys_to_print:\n", " if key in example:\n", " print(f\"{key}: {example[key]}\")\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DatasetDict({\n", " train: Dataset({\n", " features: ['text', 'question', 'key-1', 'key-1(right)', 'key-1(wrong)', 'key-2', 'key-2(right)', 'key-2(wrong)', 'key-3', 'key-3(right)', 'key-3(wrong)'],\n", " num_rows: 3994\n", " })\n", "})\n" ] } ], "source": [ "print(dataset)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## dict loading " ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'train': (3989, 11)}" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset.shape" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "# import json\n", "\n", "# file_path = '/home/ubuntu/item_multiple_group/data/main_data.json'\n", "\n", "# # Load data from the JSON file\n", "# with open(file_path, 'r') as file:\n", "# data = json.load(file)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
textquestionkey_1key_1(right)key_1(wrong)key_2key_2(right)key_2(wrong)key_3key_3(right)key_3(wrong)
0hpi 20 yo f complains of sudden onset constant...A 20-year-old female presents with sudden-onse...Pain Assessment['1) Assess the nature, location, and intensit...['1) Order immediate imaging studies to identi...Gastrointestinal Symptoms['1) Assess the characteristics and frequency ...['1) Disregard gastrointestinal symptoms, assu...Nutritional Assessment['1) Evaluate changes in appetite, nutritional...['1) Disregard nutritional assessment, assumin...
\n", "
" ], "text/plain": [ " text \\\n", "0 hpi 20 yo f complains of sudden onset constant... \n", "\n", " question key_1 \\\n", "0 A 20-year-old female presents with sudden-onse... Pain Assessment \n", "\n", " key_1(right) \\\n", "0 ['1) Assess the nature, location, and intensit... \n", "\n", " key_1(wrong) \\\n", "0 ['1) Order immediate imaging studies to identi... \n", "\n", " key_2 \\\n", "0 Gastrointestinal Symptoms \n", "\n", " key_2(right) \\\n", "0 ['1) Assess the characteristics and frequency ... \n", "\n", " key_2(wrong) key_3 \\\n", "0 ['1) Disregard gastrointestinal symptoms, assu... Nutritional Assessment \n", "\n", " key_3(right) \\\n", "0 ['1) Evaluate changes in appetite, nutritional... \n", "\n", " key_3(wrong) \n", "0 ['1) Disregard nutritional assessment, assumin... " ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "\n", "df = pd.read_csv(\"/home/ubuntu/item_multiple_group/data/main_data_.csv\")\n", "df.head(1)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['text', 'question', 'key_1', 'key_1(right)', 'key_1(wrong)', 'key_2',\n", " 'key_2(right)', 'key_2(wrong)', 'key_3', 'key_3(right)',\n", " 'key_3(wrong)'],\n", " dtype='object')" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.columns" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# df_subset = df.head(1100)\n", "\n", "# # Save the subset to a new CSV file (replace 'subset_dataset.csv' with your desired file name)\n", "# df_subset.to_csv('subset_dataset.csv', index=False)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "text object\n", "question object\n", "key_1 object\n", "key_1(right) object\n", "key_1(wrong) object\n", "key_2 object\n", "key_2(right) object\n", "key_2(wrong) object\n", "key_3 object\n", "key_3(right) object\n", "key_3(wrong) object\n", "dtype: object" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.dtypes" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "df = df.astype(str)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "text object\n", "question object\n", "key_1 object\n", "key_1(right) object\n", "key_1(wrong) object\n", "key_2 object\n", "key_2(right) object\n", "key_2(wrong) object\n", "key_3 object\n", "key_3(right) object\n", "key_3(wrong) object\n", "dtype: object" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.dtypes" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "text 0\n", "question 0\n", "key_1 0\n", "key_1(right) 0\n", "key_1(wrong) 0\n", "key_2 0\n", "key_2(right) 0\n", "key_2(wrong) 0\n", "key_3 0\n", "key_3(right) 0\n", "key_3(wrong) 0\n", "dtype: int64" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.isna().sum()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index([1286], dtype='int64')" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.loc[df['question'].isna()].index" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index([1880], dtype='int64')" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.loc[df['key_1'].isna()].index" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# custom data_dict formate making " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## working dict code " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'Text': 'ms madden is a 20yearold female who comes to the clinic with the worse headache shes ever had that started yesterday morning since then she has been unable to leave bed due to nausea and vomiting and photophobia she cannot locate the headache as it is everywhere she has felt warm and achy but has not taken her temperature the patient also complains of pain on neck extension she denies sob chest pain and abdominal pain and sick contacts she works at a sporting goods store and has had to call off due to the severity of her headache ros negative unless stated above pmh none psh none fh mother migranes father htn hyperlipidemia sh never a smoker 23 drinks of alcohol over the weekend marijuana 34 times a week allergies none', 'Question': \"What is the potential diagnosis for Ms. Madden's severe headache, and what clinical features distinguish it from her typical health status?\", 'Headache Characteristics': {'right': \"['1) Migraine']\", 'wrong': \"['1) Tension headache', '2) Cluster headache', '3) Sinus headache', '4) Hypertensive crisis']\"}, 'Associated Symptoms': {'right': \"['1) Migraine with Nausea, Vomiting, Photophobia, and Neck Pain']\", 'wrong': \"['1) Sinusitis', '2) Gastroenteritis', '3) Tension headache', '4) Cluster headache']\"}, 'Pain Localization': {'right': \"['1) Headache is Diffuse and Widespread']\", 'wrong': \"['1) Localized', '2) Focal Pain', '3) Unilateral Headache']\"}}\n" ] } ], "source": [ "from datasets import load_dataset\n", "import pandas as pd\n", "\n", "# Load the dataset\n", "dataset = load_dataset('csv', data_files='/home/ubuntu/item_multiple_group/data/main_data_.csv')\n", "\n", "# Convert the 'train' split to a Pandas DataFrame\n", "train_df = pd.DataFrame(dataset['train'])\n", "\n", "# Convert DataFrame columns to string type\n", "train_df = train_df.astype(str)\n", "\n", "# def custom_format(row):\n", "# custom_dict = {\n", "# 'Text': row['text'],\n", "# 'Question': row['question'],\n", "# }\n", "\n", "# options_columns = ['key_1', 'key_2', 'key_3']\n", "\n", "# for column in options_columns:\n", "# right_key = f\"{column}(right)\"\n", "# wrong_key = f\"{column}(wrong)\"\n", " \n", "# # right = f\"({row[column]}(right))\"\n", "# # wrong = f\"({row[column]}(wrong))\"\n", " \n", "# key = row[column] \n", "# custom_dict [key].update({\n", "# \"right\": row[right_key],\n", "# \"wrong\": row[wrong_key],\n", "# })\n", "\n", "# return custom_dict\n", "\n", "def custom_format(row):\n", " custom_dict = {\n", " 'Text': row['text'],\n", " 'Question': row['question'],\n", " }\n", "\n", " options_columns = ['key_1', 'key_2', 'key_3']\n", "\n", " for column in options_columns:\n", " right_key = f\"{column}(right)\"\n", " wrong_key = f\"{column}(wrong)\"\n", " \n", " key = row[column]\n", "\n", " # Create a new entry in custom_dict for the current key\n", " custom_dict[key] = {}\n", "\n", " custom_dict[key].update({\n", " \"right\": row[right_key],\n", " \"wrong\": row[wrong_key],\n", " })\n", "\n", " return custom_dict\n", "\n", "\n", "# Apply custom formatting to each row in the DataFrame\n", "formatted_dataset = train_df.apply(custom_format, axis=1)\n", "\n", "# Print the formatted output for the first row\n", "print(formatted_dataset.iloc[325])\n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "3989\n" ] } ], "source": [ "print(len(formatted_dataset))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# main DICT making " ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "from datasets import load_dataset\n", "import pandas as pd\n", "import os\n", "import json\n", "\n", "# Load the dataset\n", "dataset = pd.read_csv('/home/ubuntu/item_multiple_group/data/main_data_.csv')\n", "\n", "# Convert DataFrame columns to string type\n", "dataset = dataset.astype(str)\n", "\n", "def custom_format(row):\n", " custom_dict = {\n", " 'Text': row['text'],\n", " 'Question': row['question'],\n", " }\n", "\n", " options_columns = ['key_1', 'key_2', 'key_3']\n", " \n", " row_dicts_str = []\n", "\n", " for column in options_columns:\n", " right_key = f\"{column}(right)\"\n", " wrong_key = f\"{column}(wrong)\"\n", " \n", " key = row[column]\n", "\n", " # Create a new entry in custom_dict for the current key\n", " custom_dict[key] = {}\n", "\n", " custom_dict[key].update({\n", " \"right\": row[right_key],\n", " \"wrong\": row[wrong_key],\n", " })\n", "\n", " return custom_dict\n", "\n", "# # Apply custom formatting to each row in the DataFrame\n", "# formatted_dataset = dataset.apply(custom_format, axis=1)\n", "\n", "# # Save each formatted row as a JSON file\n", "# output_dir = '/home/ubuntu/item_multiple_group/'\n", "# os.makedirs(output_dir, exist_ok=True)\n", "\n", "# for index, row in formatted_dataset.iterrows():\n", "# # Use the 'Question' field as the filename (you might want to sanitize it)\n", "# filename = os.path.join(output_dir, f\"{row['Question']}.json\")\n", " \n", "# # Save the formatted row as a JSON file\n", "# with open(filename, 'w') as json_file:\n", "# json.dump(row, json_file, indent=2)\n", "\n", "# print(\"JSON files saved to:\", output_dir)\n", "# Convert the dictionary to a single-line string and append to the list\n", "row_dict_str = json.dumps(custom_dict, separators=(',', ':')) + '\\n'\n", "row_dicts_str.append(row_dict_str)\n", "\n", "# Save the list of single-line dictionaries to a JSON file\n", "output_file_path = \"/home/ubuntu/item_group/data/main_dict.json\"\n", "with open(output_file_path, 'w') as output_file:\n", " output_file.writelines(row_dicts_str)\n", "\n", "\n", "print(\"Row-wise dictionaries saved to a JSON file with sub-dictionaries in a single line.\")\n", "\n" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Row-wise dictionaries saved to a JSON file.\n" ] } ], "source": [ "# from datasets import load_dataset\n", "# import pandas as pd\n", "# import os\n", "# import json\n", "\n", "# # Load the dataset\n", "# dataset = pd.read_csv('/home/ubuntu/item_multiple_group/data/main_data_.csv')\n", "\n", "# # Convert DataFrame columns to string type\n", "# dataset = dataset.astype(str)\n", "\n", "# def custom_format(row):\n", "# custom_dict = {\n", "# 'Text': row['text'],\n", "# 'Question': row['question'],\n", "# }\n", "\n", "# options_columns = ['key_1', 'key_2', 'key_3']\n", "# row_dicts_str = []\n", "# for column in options_columns:\n", "# right_key = f\"{column}(right)\"\n", "# wrong_key = f\"{column}(wrong)\"\n", " \n", "# key = row[column]\n", "\n", "# # Create a new entry in custom_dict for the current key\n", "# custom_dict[key] = {}\n", "\n", "# custom_dict[key].update({\n", "# \"right\": row[right_key],\n", "# \"wrong\": row[wrong_key],\n", "# })\n", "\n", "# #return custom_dict\n", "\n", "# row_dict_str = json.dumps(custom_dict, separators=(',', ':')) + '\\n'\n", "# row_dicts_str.append(row_dict_str)\n", "# return row_dict_str\n", "\n", "# # Save the list of single-line dictionaries to a JSON file\n", "# output_file_path = \"/home/ubuntu/item_group/data/main_dict.json\"\n", "# with open(output_file_path, 'w') as output_file:\n", "# output_file.writelines(row_dicts_str)\n", " \n", "# print(\"Row-wise dictionaries saved to a JSON file with sub-dictionaries in a single line.\")\n", "\n", "\n", "# # # Apply custom formatting to each row in the DataFrame\n", "# # formatted_dataset = dataset.apply(custom_format, axis=1)\n", "\n", "# # # Convert the formatted_dataset to a list of row-wise dictionaries\n", "# # row_dicts = formatted_dataset.tolist()\n", "\n", "# # # Save the list of single-line dictionaries to a JSON file\n", "# # output_file_path = \"/home/ubuntu/item_multiple_group/data/main_data_llm.json\"\n", "# # with open(output_file_path, 'w') as output_file:\n", "# # json.dump(row_dicts, output_file, indent=2)\n", "\n", "# # print(\"Row-wise dictionaries saved to a JSON file.\")\n" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Row-wise dictionaries saved to a JSON file with sub-dictionaries in a single line.\n" ] } ], "source": [ "from datasets import load_dataset\n", "import pandas as pd\n", "import os\n", "import json\n", "\n", "# Load the dataset\n", "dataset = pd.read_csv('/home/ubuntu/item_multiple_group/data/main_data_.csv')\n", "\n", "# Convert DataFrame columns to string type\n", "dataset = dataset.astype(str)\n", "\n", "# Initialize the list to store row-wise dictionaries as strings\n", "row_dicts_str = []\n", "\n", "def custom_format(row):\n", " custom_dict = {\n", " 'text': row['text'],\n", " 'question': row['question'],\n", " }\n", "\n", " options_columns = ['key_1', 'key_2', 'key_3']\n", "\n", " for column in options_columns:\n", " right_key = f\"{column}(right)\"\n", " wrong_key = f\"{column}(wrong)\"\n", " \n", " key = row[column]\n", "\n", " # Create a new entry in custom_dict for the current key\n", " custom_dict[key] = {}\n", "\n", " custom_dict[key].update({\n", " \"right\": row[right_key],\n", " \"wrong\": row[wrong_key],\n", " })\n", "\n", " # Convert the dictionary to a single-line string and append to the list\n", " row_dict_str = json.dumps(custom_dict, separators=(',', ':')) + '\\n'\n", " row_dicts_str.append(row_dict_str)\n", "\n", " return row_dict_str\n", "\n", "# Apply custom formatting to each row in the DataFrame\n", "formatted_dataset = dataset.apply(custom_format, axis=1)\n", "\n", "# Save the list of single-line dictionaries to a JSON file\n", "output_file_path = \"/home/ubuntu/item_multiple_group/data/main_data_llm.json\"\n", "with open(output_file_path, 'w') as output_file:\n", " output_file.writelines(row_dicts_str)\n", "\n", "print(\"Row-wise dictionaries saved to a JSON file with sub-dictionaries in a single line.\")\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 58, "metadata": { "id": "0FvIXEA_AjiE" }, "outputs": [], "source": [ "# def create_prompt_format(example):\n", "# instruction = f''\n", "# formatted_question = f'[INST]{example[\"Question\"]}[/INST]'\n", "# formatted_answer = f'[INST]{example[\"Answer\"]}[/INST]'\n", "\n", "# # Combine the formatted question and answer into a single column\n", "# combined_entry = {'text': f'{formatted_question} {formatted_answer}'}\n", "# return combined_entry\n", "\n", "\n", "def create_prompt_format(dFrame):\n", " for i in range(len(dFrame)):\n", " pre_prompt = \"\"\"[INST]\n", " <>\n", " You are a subject matter expert in medical domain. For given a context generate questions, \n", " keywords and respective right and wrong options.\n", " <>\n", " \"\"\"\n", " prompt = pre_prompt + \"CONTEXT:\\n\\n{dFrame.text.iloc[i]}[\\INST][INST]{dFrame.question.iloc[i]}[INST]{dFrame.key_1.iloc[i]}[INST]{dFrame.key_2.iloc[i]}[INST]{dFrame.key_3.iloc[i]}[\\INST]\"\n", " \n", " return prompt" ] }, { "cell_type": "markdown", "metadata": { "id": "_zRGtACNfETU" }, "source": [ "### Explore Dataset" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "0Kvq5gegoIUA", "outputId": "a2334ac3-169f-4b49-d2aa-327008ad10e2" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DatasetDict({\n", " train: Dataset({\n", " features: ['text', 'question', 'key_1', 'key_1(right)', 'key_1(wrong)', 'key_2', 'key_2(right)', 'key_2(wrong)', 'key_3', 'key_3(right)', 'key_3(wrong)'],\n", " num_rows: 3989\n", " })\n", "})\n" ] } ], "source": [ "print(dataset)" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "3989" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(formatted_dataset)" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "_8lsNfmKfQZJ", "outputId": "fe870a9a-f86f-4003-d9c0-c29abb0e0681" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of prompts: 3989\n", "Column names are: {'train': ['text', 'question', 'key_1', 'key_1(right)', 'key_1(wrong)', 'key_2', 'key_2(right)', 'key_2(wrong)', 'key_3', 'key_3(right)', 'key_3(wrong)']}\n" ] } ], "source": [ "print(f'Number of prompts: {len(formatted_dataset)}')\n", "print(f'Column names are: {dataset.column_names}')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "def create_prompt_formats(example):\n", " formatted_question = f'[INST]{example[\"Question\"]}[/INST]'\n", " formatted_answer = f'[INST]{example[\"Answer\"]}[/INST]'\n", "\n", " # Combine the formatted question and answer into a single column\n", " combined_entry = {'text': f'{formatted_question} {formatted_answer}'}\n", " return combined_entry" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": { "id": "9W6u6GmvpYes" }, "source": [ "### Model tokenizer (prompts processed to tokens)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "RloDGV0RpoQ2" }, "outputs": [], "source": [ "def get_max_length(model):\n", " conf = model.config\n", " max_length = None\n", " for length_setting in [\"n_positions\", \"max_position_embeddings\", \"seq_length\"]:\n", " max_length = getattr(model.config, length_setting, None)\n", " if max_length:\n", " max_length = 1024\n", " print(f\"Using default max length: {max_length}\")\n", " return max_length\n", "\n", "def preprocess_batch(batch, tokenizer, max_length):\n", " \"\"\"\n", " Tokenizing a batch\n", " \"\"\"\n", " return tokenizer(\n", " batch[\"text\"],\n", " max_length=max_length,\n", " truncation=True,\n", " )\n", "\n", "def preprocess_dataset(tokenizer: AutoTokenizer, max_length: int, seed, dataset: str):\n", " \"\"\"\n", " Format & tokenize it so it is ready for training\n", " :param tokenizer (AutoTokenizer): Model Tokenizer\n", " :param max_length (int): Maximum number of tokens to emit from tokenizer\n", " \"\"\"\n", " # Add prompt to each sample\n", " print(\"Preprocessing dataset...\")\n", " dataset = dataset.map(create_prompt_formats)#, batched=True)\n", "\n", " # Apply preprocessing to each batch of the dataset & remove field other than text column.\n", " _preprocessing_function = partial(preprocess_batch, max_length=max_length, tokenizer=tokenizer)\n", " dataset = dataset.map(\n", " _preprocessing_function,\n", " batched=True,\n", " remove_columns=['Context', 'Question', 'Answer']\n", " )\n", " # Filter out samples that have input_ids exceeding max_length\n", " dataset = dataset.filter(lambda sample: len(sample[\"input_ids\"]) < max_length)\n", "\n", " # Shuffle dataset\n", " dataset = dataset.shuffle(seed=seed)\n", "\n", " return dataset" ] }, { "cell_type": "markdown", "metadata": { "id": "t1egZvRly0X1" }, "source": [ "## BitsandBytes configuration\n", "

In QLoRa method, pre-trained language model is\n", "quantized to 4 bits and the parameters are freezed. Few new Low-Rank Adapter layers are attached at the end of the model. 4-bit quantization with NF4 type configuration using BitsAndBytes." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "AEP2aRmryqfW" }, "outputs": [], "source": [ "def create_bnb_config():\n", " bnb_config = BitsAndBytesConfig(\n", " load_in_4bit=True,\n", " bnb_4bit_use_double_quant=True,\n", " bnb_4bit_quant_type=\"nf4\",\n", " bnb_4bit_compute_dtype=torch.bfloat16,\n", " )\n", "\n", " return bnb_config" ] }, { "cell_type": "markdown", "metadata": { "id": "V4O8IjctwT_M" }, "source": [ "## LoRa Configuration" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "fdg1XR0ywiaz" }, "outputs": [], "source": [ "def create_peft_config(modules):\n", " \"\"\"\n", " Create Parameter-Efficient Fine-Tuning config for your model\n", " :param modules: Names of the modules to apply Lora to\n", " \"\"\"\n", " config = LoraConfig(\n", " r=16, # dimension of the updated matrices\n", " lora_alpha=64, # parameter for scaling\n", " target_modules=modules,\n", " lora_dropout=0.1, # dropout probability for layers\n", " bias=\"none\",\n", " task_type=\"CAUSAL_LM\",\n", " )\n", "\n", " return config" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "iRra2t9wwlLj" }, "outputs": [], "source": [ "def find_all_linear_names(model):\n", " cls = bnb.nn.Linear4bit #if args.bits == 4 else (bnb.nn.Linear8bitLt if args.bits == 8 else torch.nn.Linear)\n", " lora_module_names = set()\n", " for name, module in model.named_modules():\n", " if isinstance(module, cls):\n", " names = name.split('.')\n", " lora_module_names.add(names[0] if len(names) == 1 else names[-1])\n", "\n", " if 'lm_head' in lora_module_names: # needed for 16-bit\n", " lora_module_names.remove('lm_head')\n", " return list(lora_module_names)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "Tqvao9LawvAy" }, "outputs": [], "source": [ "def print_trainable_parameters(model, use_4bit=False):\n", " \"\"\"\n", " Prints the number of trainable parameters in the model.\n", " \"\"\"\n", " trainable_params = 0\n", " all_param = 0\n", " for _, param in model.named_parameters():\n", " num_params = param.numel()\n", " # if using DS Zero 3 and the weights are initialized empty\n", " if num_params == 0 and hasattr(param, \"ds_numel\"):\n", " num_params = param.ds_numel\n", "\n", " all_param += num_params\n", " if param.requires_grad:\n", " trainable_params += num_params\n", " if use_4bit:\n", " trainable_params /= 2\n", " print(\n", " f\"all params: {all_param:,d} || trainable params: {trainable_params:,d} || trainable%: {100 * trainable_params / all_param}\"\n", " )" ] }, { "cell_type": "markdown", "metadata": { "id": "2Zj8-tuMw0BQ" }, "source": [ "# 4. Train" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 333, "referenced_widgets": [ "b6f73ac793ea47f8bae51d5ba996d44f", "dfa45ae9fdb243b5a248d8f6650d30c7", "d7b256780abe4fcab8e591d6623a4ce8", "37e94c61c34d48ebb0f89a3d70b961f8", "91c6d3638f9045f1b855522fbe314f2d", "509a541309a544f4a6881aefbffe9fee", "61b6f1430d8c46eb89fa70bbc624dcf6", "c7f8bbd2fd884cd9a49929c1cbfae2e0", "e608bc51eb3b4fd5b2678b14bf87b959", "28a643d0aae2483b9ee8ba0076f1a581", "6ecff14dc92e4a1e9f7b57f00d0d9a6d", "5b3040975eb84f97aa117b1e6b0082ff", "6b147210ee494fea98b72e14f051c944", "57e80613aba24628b54abc8a7ab0d39b", "74ca0e8fd9d24affb6b7094c63f0e14d", "1d912577f09d4476a02cf94d412307d9", "c94c2aba038a4f97a64ba13373b3640d", "82d4405e31aa4c809dc45d4615bb8c06", "95e54ac201b8466590c81c156e6ff606", "e1efd632f5544d7182c78bc653aeeb90", "5ceb9a404f514f07af12ff776b5628e4", "0594393185d44a048962ae40724ab829", "687e52962f524b11a4d9c197b81f3031", "5690f2b0e4014977b252af61eefdd73e", "4cfbeae6e0514e36bf0b871084160287", "855655711a704932a6c019ba49e1aaa8", "6293185d87954365af1794773bcdb613", "34341e9df86d495a93694460af2b6c33", "4df180b7528046d6ac2f6e2f55404e6b", "be5fe9925b07474d9d01ef01b77ca123", "114fdd738696429aba9bd7794ad55135", "0eb77c78dea4440a99d4ae53178feeba", "71482ec768234ab68a515a7e7cd03a7c", "f1be1a7ca917472e8b7c6cf8119ebcbc", "afbb570686a348be83742f9c4bb0af44", "247c7969dc534c0893f0665de35b25ad", "b1393f658f2c422f850b955dab5565c0", "49240e5e60bf41cc81f1e9210cb55f8d", "2a9b92fab2eb4777beddbbdb7bea1aca", "12b7f279e7554ce0b2870342000c5e9d", "f61a4daba8d64caab1e1728f595f7cc8", "e10ce3a19c0d4821bed240ce7ea602b4", "60ae4bd7d89e45e5a8cbb797e309748f", "840e4793a50042aea445c6326db1140c", "4d1b1c3af359436699cd9b75b20c3173", "0f9322fd1a824888b717c7663ecccab2", "74b8345fe1c74b10a49fdc5958571af7", "bc615652607b4f79af53345328789493", "e1fbbe5020444ff39410a7c2b97faa16", "490ddce69e28430c9f4212c935ef3ff7", "ea6013f4f25542f3891fe56b5d142967", "7fbeb9b4e3c942538c0faf466c106cef", "013afdd390c84133aef274a57db40f86", "0fe83e5f2c634466b37241cf4ccd2d05", "5b39e8956903485f903231e371c31280", "3976e8737f0e4ffab25437557222c8f3", "c60b858cfc224e07b93f6f13e8f7e0f0", "eae3723469174a1cbe9e2cf71cfe3e93", "a8208cfdc5fe4581900d6a652895a1aa", "a90cc369ea06465ba1fddf7bd822c69c", "623020bfe9b1403bbe293e0055f629f8", "f8accad555ba4c53897693a7e620aba4", "52f1cbeaf4654be99bd1444754d37acc", "a892db8f539b48a0bdf454906bd6339f", "5847f2a0a7dc4da0ac799d334b6c670d", "b3cf942a7eff41e0a104256e15c740c3" ] }, "id": "kzoPIDe1w2YY", "outputId": "75b40dc0-8117-40d7-b427-314fe20cde2f" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "b6f73ac793ea47f8bae51d5ba996d44f", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Loading checkpoint shards: 0%| | 0/2 [00:00\n", " \n", " \n", " [20/20 02:36, Epoch 0/1]\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
StepTraining Loss
14.137700
23.183600
33.251800
42.639600
53.112200
62.323200
72.231800
82.479300
91.652300
102.078800
112.267800
122.247400
132.411500
141.945700
152.248600
162.360500
171.906000
182.028700
192.009500
201.840500

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "***** train metrics *****\n", " epoch = 0.0\n", " total_flos = 700773GF\n", " train_loss = 2.4178\n", " train_runtime = 0:02:47.00\n", " train_samples_per_second = 0.479\n", " train_steps_per_second = 0.12\n", "{'train_runtime': 167.004, 'train_samples_per_second': 0.479, 'train_steps_per_second': 0.12, 'total_flos': 752450099920896.0, 'train_loss': 2.417821300029755, 'epoch': 0.0}\n", "Saving last checkpoint of the model...\n" ] } ], "source": [ "def train(model, tokenizer, dataset, output_dir):\n", " # Apply preprocessing to the model to prepare it by\n", " # 1 - Enabling gradient checkpointing to reduce memory usage during fine-tuning\n", " model.gradient_checkpointing_enable()\n", "\n", " # 2 - Using the prepare_model_for_kbit_training method from PEFT\n", " model = prepare_model_for_kbit_training(model)\n", "\n", " # Get lora module names\n", " modules = find_all_linear_names(model)\n", "\n", " # Create PEFT config for these modules and wrap the model to PEFT\n", " peft_config = create_peft_config(modules)\n", " model = get_peft_model(model, peft_config)\n", "\n", " # Print information about the percentage of trainable parameters\n", " print_trainable_parameters(model)\n", "\n", " # Training parameters\n", " trainer = Trainer(\n", " model=model,\n", " train_dataset=dataset,\n", " args=TrainingArguments(\n", " per_device_train_batch_size=1,\n", " gradient_accumulation_steps=4,\n", " warmup_steps=2,\n", " max_steps=20,\n", " learning_rate=2e-4,\n", " fp16=True,\n", " logging_steps=1,\n", " output_dir=\"outputs\",\n", " optim=\"paged_adamw_8bit\",\n", " ),\n", " data_collator=DataCollatorForLanguageModeling(tokenizer, mlm=False)\n", " )\n", "\n", " model.config.use_cache = False # re-enable for inference to speed up predictions for similar inputs\n", "\n", " ### SOURCE https://github.com/artidoro/qlora/blob/main/qlora.py\n", " # Verifying the datatypes before training\n", "\n", " dtypes = {}\n", " for _, p in model.named_parameters():\n", " dtype = p.dtype\n", " if dtype not in dtypes: dtypes[dtype] = 0\n", " dtypes[dtype] += p.numel()\n", " total = 0\n", " for k, v in dtypes.items(): total+= v\n", " for k, v in dtypes.items():\n", " print(k, v, v/total)\n", "\n", " do_train = True\n", "\n", " # Launch training\n", " print(\"Training...\")\n", "\n", " if do_train:\n", " train_result = trainer.train()\n", " metrics = train_result.metrics\n", " trainer.log_metrics(\"train\", metrics)\n", " trainer.save_metrics(\"train\", metrics)\n", " trainer.save_state()\n", " print(metrics)\n", "\n", " ###\n", "\n", " # Saving model\n", " print(\"Saving last checkpoint of the model...\")\n", " os.makedirs(output_dir, exist_ok=True)\n", " trainer.model.save_pretrained(output_dir)\n", "\n", " # Free memory for merging weights\n", " del model\n", " del trainer\n", " torch.cuda.empty_cache()\n", "\n", "\n", "output_dir = \"results/llama2/final_checkpoint\"\n", "train(model, tokenizer, dataset, output_dir)" ] }, { "cell_type": "markdown", "metadata": { "id": "WZ9v-arf3EID" }, "source": [ "# Merge weights\n", "

Once we have our fine-tuned weights, we can build our fine-tuned model and save it to a new directory, with its associated tokenizer. By performing these steps, we can have a memory-efficient fine-tuned model and tokenizer ready for inference!" ] }, { "cell_type": "markdown", "metadata": { "id": "IL6pnYEv3gnK" }, "source": [ "# Lets Use trained medical assistant model" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "yX0M2VVz3nIL", "outputId": "5b9f662a-cd3e-4f15-dc89-bfd60de2faa3" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", " warnings.warn(\n", "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n", " warnings.warn(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[INST] preferred food for sugar patients [/INST][INST]hi, i am a diabetic patient.. i am looking for a diet plan that is suitable for me. can you please provide me with a diet plan that is suitable for diabetic patients?[/INST] nobody can give you a diet plan that is suitable for diabetic patients. diabetes is a disease that affects each person differently. the diet plan that is suitable for one diabetic patient may not be suitable for another. the diet plan that is suitable for you will depend on your age, sex, weight, height, and the severity of your diabetes. you should consult a doctor or a dietician who specializes in diabetes to get a diet plan that is suitable for you. the dietician will take into account your medical history, your lifestyle, and\n" ] } ], "source": [ "prompt = \"preferred food for sugar patients\"\n", "pipe = pipeline(task=\"text-generation\", model=model, tokenizer=tokenizer, max_length=200)\n", "result = pipe(f\"[INST] {prompt} [/INST]\")\n", "print(result[0]['generated_text'])" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "zzZUaXFQEbwS" }, "outputs": [], "source": [] } ], "metadata": { "accelerator": "GPU", "colab": { "gpuType": "T4", "provenance": [] }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.18" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "00634b73c1a34157b1d8750fe45fb903": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_4cf595a3e07e41c5a12708f3b159bcd8", "placeholder": "​", "style": "IPY_MODEL_8cd0ce8a790c4e0e989239fa589f2501", "value": "Downloading data files: 100%" } }, "013afdd390c84133aef274a57db40f86": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "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": "" } }, "0594393185d44a048962ae40724ab829": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "07e74f1e8ae34f47a73c4511d4d66d68": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "0eb77c78dea4440a99d4ae53178feeba": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "0f77400710114cd2bce590a76cc2a90c": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "0f9322fd1a824888b717c7663ecccab2": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_490ddce69e28430c9f4212c935ef3ff7", "placeholder": "​", "style": "IPY_MODEL_ea6013f4f25542f3891fe56b5d142967", "value": "Downloading (…)in/added_tokens.json: 100%" } }, "0fe83e5f2c634466b37241cf4ccd2d05": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "114fdd738696429aba9bd7794ad55135": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "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": "" } }, "12b7f279e7554ce0b2870342000c5e9d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "13c9427228fe4cd485a74f7202f207e3": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_d9f2ebe7cf8841c2acd9e2456f872ad3", "placeholder": "​", "style": "IPY_MODEL_39dc7fe7bb814729b1dfe3150d3b3c27", "value": " 24073/24073 [00:06<00:00, 5361.28 examples/s]" } }, "1585dab4021c4c209bd1c9e95854f713": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "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": "" } }, "1683ed53014743f4a4fd8315977e250a": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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" } }, "1d912577f09d4476a02cf94d412307d9": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "1fba7be06b0f48528e277828fad0c31c": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "22edc699d9b04bfca054a3a9c9d85bd0": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "2412c5751aae4da285bd77cf3035400e": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "247c7969dc534c0893f0665de35b25ad": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "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_f61a4daba8d64caab1e1728f595f7cc8", "max": 1842764, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_e10ce3a19c0d4821bed240ce7ea602b4", "value": 1842764 } }, "25077f23e0f6452ca32d8d4aa4c3edf8": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "275ae14fbc8d45b485fa47b2e217fe8b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_937c5ed9fda640ec941e343e5a1123eb", "placeholder": "​", "style": "IPY_MODEL_32997a947650462a8c92f3b3ddf36e02", "value": " 24073/0 [00:00<00:00, 60407.57 examples/s]" } }, "28a643d0aae2483b9ee8ba0076f1a581": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "29d7a11c57ae45ec870e505a110f98eb": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "2a9b92fab2eb4777beddbbdb7bea1aca": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "2eced127638741cfb54ba4f65d94b649": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "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": "" } }, "306d2807a2a343af84436d3550b52c71": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "32997a947650462a8c92f3b3ddf36e02": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "34341e9df86d495a93694460af2b6c33": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "37e94c61c34d48ebb0f89a3d70b961f8": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_28a643d0aae2483b9ee8ba0076f1a581", "placeholder": "​", "style": "IPY_MODEL_6ecff14dc92e4a1e9f7b57f00d0d9a6d", "value": " 2/2 [00:59<00:00, 27.14s/it]" } }, "3976e8737f0e4ffab25437557222c8f3": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "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_c60b858cfc224e07b93f6f13e8f7e0f0", "IPY_MODEL_eae3723469174a1cbe9e2cf71cfe3e93", "IPY_MODEL_a8208cfdc5fe4581900d6a652895a1aa" ], "layout": "IPY_MODEL_a90cc369ea06465ba1fddf7bd822c69c" } }, "399624baa8b74da9bb49e394b8398d1d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "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": "" } }, "39dc7fe7bb814729b1dfe3150d3b3c27": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "3bb66d5002b44f79b4eed5454f51b678": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_1fba7be06b0f48528e277828fad0c31c", "placeholder": "​", "style": "IPY_MODEL_ef5d452b55154ee9af7db3ff716d77f2", "value": "Map: 100%" } }, "3c62e6432e08477ca6b1516448d8f04a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "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_94f5d5bf4aa240399bd31980007e2d11", "IPY_MODEL_41a587c4f053434285970284ac6b282b", "IPY_MODEL_5432af7c82414807b90a07deeed371ff" ], "layout": "IPY_MODEL_25077f23e0f6452ca32d8d4aa4c3edf8" } }, "3dbf5c76cd554d2a8585d67c65190c4a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "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_45fa99332f41481cb987ce83c845c636", "max": 1, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_b162ec1a0dff431687a74f2833fcf381", "value": 1 } }, "3dca7f93747a460aaf7cca8546183ed9": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "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_81196dd034d64b09a9f8ec9d20c56a6d", "max": 1, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_5e3b6bbb4d3c4a36b94287324fea4f98", "value": 1 } }, "41a587c4f053434285970284ac6b282b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "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_2412c5751aae4da285bd77cf3035400e", "max": 485183, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_c4caf21e3cc6434fb729babc6ae5986e", "value": 485183 } }, "45fa99332f41481cb987ce83c845c636": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "47fc0977705c414db0fedc499dfdc376": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_dd2db5256df74032b6987b8d83b5c412", "placeholder": "​", "style": "IPY_MODEL_6a177db7501b40f0ad4d836b67d96d78", "value": "Filter: 100%" } }, "490ddce69e28430c9f4212c935ef3ff7": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "49240e5e60bf41cc81f1e9210cb55f8d": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "49d584d0a648490bb689f92d64ed627a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "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_306d2807a2a343af84436d3550b52c71", "max": 21094946, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_e1bb0f5c135e4d999059d501eebac09f", "value": 21094946 } }, "4cf595a3e07e41c5a12708f3b159bcd8": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "4cfbeae6e0514e36bf0b871084160287": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "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_be5fe9925b07474d9d01ef01b77ca123", "max": 499723, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_114fdd738696429aba9bd7794ad55135", "value": 499723 } }, "4d1b1c3af359436699cd9b75b20c3173": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "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_0f9322fd1a824888b717c7663ecccab2", "IPY_MODEL_74b8345fe1c74b10a49fdc5958571af7", "IPY_MODEL_bc615652607b4f79af53345328789493" ], "layout": "IPY_MODEL_e1fbbe5020444ff39410a7c2b97faa16" } }, "4df180b7528046d6ac2f6e2f55404e6b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "4fe548a6fcf645acb29b2f3893119e60": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "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_8081ddaf250e41b798c4d97ec3469f72", "IPY_MODEL_49d584d0a648490bb689f92d64ed627a", "IPY_MODEL_6299d5080dbf4e47963d5142cdb8e6e6" ], "layout": "IPY_MODEL_29d7a11c57ae45ec870e505a110f98eb" } }, "4fe5be015d8c4d5daba83f0742323f7f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "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_3bb66d5002b44f79b4eed5454f51b678", "IPY_MODEL_9e8e9912223e4a87aa1f9a97619fbfcb", "IPY_MODEL_6e1874e75ef740bf8d488387c8f936f5" ], "layout": "IPY_MODEL_5a322362cc36445487ac5f195366c004" } }, "509a541309a544f4a6881aefbffe9fee": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "52f1cbeaf4654be99bd1444754d37acc": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "5432af7c82414807b90a07deeed371ff": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_e42619c509f0454c8184920fde0a80b3", "placeholder": "​", "style": "IPY_MODEL_b68d54197a5d4257ac73aaf15dd2efc3", "value": " 485k/485k [00:00<00:00, 1.55MB/s]" } }, "5690f2b0e4014977b252af61eefdd73e": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_34341e9df86d495a93694460af2b6c33", "placeholder": "​", "style": "IPY_MODEL_4df180b7528046d6ac2f6e2f55404e6b", "value": "Downloading tokenizer.model: 100%" } }, "57e80613aba24628b54abc8a7ab0d39b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "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_95e54ac201b8466590c81c156e6ff606", "max": 746, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_e1efd632f5544d7182c78bc653aeeb90", "value": 746 } }, "5847f2a0a7dc4da0ac799d334b6c670d": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "5a322362cc36445487ac5f195366c004": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "5b1d217ebc1c49809a402374c642f407": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "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_1683ed53014743f4a4fd8315977e250a", "max": 1, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_1585dab4021c4c209bd1c9e95854f713", "value": 1 } }, "5b3040975eb84f97aa117b1e6b0082ff": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "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_6b147210ee494fea98b72e14f051c944", "IPY_MODEL_57e80613aba24628b54abc8a7ab0d39b", "IPY_MODEL_74ca0e8fd9d24affb6b7094c63f0e14d" ], "layout": "IPY_MODEL_1d912577f09d4476a02cf94d412307d9" } }, "5b39e8956903485f903231e371c31280": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "5ceb9a404f514f07af12ff776b5628e4": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "5e3b6bbb4d3c4a36b94287324fea4f98": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "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": "" } }, "60ae4bd7d89e45e5a8cbb797e309748f": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "61b6f1430d8c46eb89fa70bbc624dcf6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "623020bfe9b1403bbe293e0055f629f8": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "6293185d87954365af1794773bcdb613": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "6299d5080dbf4e47963d5142cdb8e6e6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_7ecea979b2374267ac3ab90b266a6a67", "placeholder": "​", "style": "IPY_MODEL_a88779bb748a44f8849c84353ac6815f", "value": " 21.1M/21.1M [00:00<00:00, 27.8MB/s]" } }, "653e66f7e4614eb5add2555d2e7360dc": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "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_81297c5f2e93449fa13608bcd3aec938", "max": 24073, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_2eced127638741cfb54ba4f65d94b649", "value": 24073 } }, "687e52962f524b11a4d9c197b81f3031": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "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_5690f2b0e4014977b252af61eefdd73e", "IPY_MODEL_4cfbeae6e0514e36bf0b871084160287", "IPY_MODEL_855655711a704932a6c019ba49e1aaa8" ], "layout": "IPY_MODEL_6293185d87954365af1794773bcdb613" } }, "6a177db7501b40f0ad4d836b67d96d78": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "6a30efd0a2654c69822236465e6873d9": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "6b147210ee494fea98b72e14f051c944": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_c94c2aba038a4f97a64ba13373b3640d", "placeholder": "​", "style": "IPY_MODEL_82d4405e31aa4c809dc45d4615bb8c06", "value": "Downloading (…)okenizer_config.json: 100%" } }, "6e1874e75ef740bf8d488387c8f936f5": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_8eec6059d5ee4360ae93e6b14069623a", "placeholder": "​", "style": "IPY_MODEL_f0a5b72276374542b9b77e5f4c618bf8", "value": " 24073/24073 [00:18<00:00, 1666.33 examples/s]" } }, "6ecff14dc92e4a1e9f7b57f00d0d9a6d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "6f0ecaefbf224eb5ab667d022f1454f2": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "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_22edc699d9b04bfca054a3a9c9d85bd0", "max": 216996, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_399624baa8b74da9bb49e394b8398d1d", "value": 216996 } }, "71482ec768234ab68a515a7e7cd03a7c": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "74b4f6c80fd241ef97da34708f75a483": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "74b8345fe1c74b10a49fdc5958571af7": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "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_7fbeb9b4e3c942538c0faf466c106cef", "max": 21, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_013afdd390c84133aef274a57db40f86", "value": 21 } }, "74ca0e8fd9d24affb6b7094c63f0e14d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_5ceb9a404f514f07af12ff776b5628e4", "placeholder": "​", "style": "IPY_MODEL_0594393185d44a048962ae40724ab829", "value": " 746/746 [00:00<00:00, 28.4kB/s]" } }, "750abaaa97b24bafb1b57699615733dd": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "75d6e6086b104a7d8a4a5fd15772e68c": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_e1dcbf85502b40dc9d747e5a980de077", "placeholder": "​", "style": "IPY_MODEL_6a30efd0a2654c69822236465e6873d9", "value": "Downloading data: 100%" } }, "7b4103c00b9a438082f8aff513e3fa5c": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_74b4f6c80fd241ef97da34708f75a483", "placeholder": "​", "style": "IPY_MODEL_ef0b9759704741308d8069dbfefde3c1", "value": " 1/1 [00:00<00:00, 29.80it/s]" } }, "7da902f5358f475f8921e4b09f61675d": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "7ecea979b2374267ac3ab90b266a6a67": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "7fbeb9b4e3c942538c0faf466c106cef": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "7fea175ed2984207be909e56dcd1550f": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "8081ddaf250e41b798c4d97ec3469f72": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_07e74f1e8ae34f47a73c4511d4d66d68", "placeholder": "​", "style": "IPY_MODEL_a374622fe3284eb3b9e378691110898b", "value": "Downloading data: 100%" } }, "81196dd034d64b09a9f8ec9d20c56a6d": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "81297c5f2e93449fa13608bcd3aec938": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "82d4405e31aa4c809dc45d4615bb8c06": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "840e4793a50042aea445c6326db1140c": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "855655711a704932a6c019ba49e1aaa8": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_0eb77c78dea4440a99d4ae53178feeba", "placeholder": "​", "style": "IPY_MODEL_71482ec768234ab68a515a7e7cd03a7c", "value": " 500k/500k [00:00<00:00, 5.17MB/s]" } }, "88656a180ae24432aa339d2d18316a28": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "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_00634b73c1a34157b1d8750fe45fb903", "IPY_MODEL_3dca7f93747a460aaf7cca8546183ed9", "IPY_MODEL_f5f7618922554a03b76e9026241c8d68" ], "layout": "IPY_MODEL_0f77400710114cd2bce590a76cc2a90c" } }, "8a8a11ed48b545c990d6acde9d4781b0": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "8cd0ce8a790c4e0e989239fa589f2501": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "8eec6059d5ee4360ae93e6b14069623a": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "91c6d3638f9045f1b855522fbe314f2d": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "937c5ed9fda640ec941e343e5a1123eb": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "94f5d5bf4aa240399bd31980007e2d11": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_abc006f417134772ab5dc955f7f4a2f3", "placeholder": "​", "style": "IPY_MODEL_f429622b1fe04a03b073e5279faeaa1a", "value": "Downloading data: 100%" } }, "95e54ac201b8466590c81c156e6ff606": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "99967feb2c53497f8762a24aea5d1891": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_e3eff8e4555c4238b92035a7df33ea4f", "placeholder": "​", "style": "IPY_MODEL_cd5563aa8624490294fd8d8caa3485ca", "value": "Generating train split: " } }, "9e8e9912223e4a87aa1f9a97619fbfcb": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "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_8a8a11ed48b545c990d6acde9d4781b0", "max": 24073, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_ee9e059d28cb4b9e9411f7eab057d793", "value": 24073 } }, "a374622fe3284eb3b9e378691110898b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "a8208cfdc5fe4581900d6a652895a1aa": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_5847f2a0a7dc4da0ac799d334b6c670d", "placeholder": "​", "style": "IPY_MODEL_b3cf942a7eff41e0a104256e15c740c3", "value": " 435/435 [00:00<00:00, 16.7kB/s]" } }, "a88779bb748a44f8849c84353ac6815f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "a892db8f539b48a0bdf454906bd6339f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "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": "" } }, "a90cc369ea06465ba1fddf7bd822c69c": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "ab49a847145f4532b82f2c6e92ae9aed": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "abc006f417134772ab5dc955f7f4a2f3": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "afbb570686a348be83742f9c4bb0af44": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_2a9b92fab2eb4777beddbbdb7bea1aca", "placeholder": "​", "style": "IPY_MODEL_12b7f279e7554ce0b2870342000c5e9d", "value": "Downloading (…)/main/tokenizer.json: 100%" } }, "b1393f658f2c422f850b955dab5565c0": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_60ae4bd7d89e45e5a8cbb797e309748f", "placeholder": "​", "style": "IPY_MODEL_840e4793a50042aea445c6326db1140c", "value": " 1.84M/1.84M [00:00<00:00, 9.65MB/s]" } }, "b162ec1a0dff431687a74f2833fcf381": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "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": "" } }, "b3cf942a7eff41e0a104256e15c740c3": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "b68d54197a5d4257ac73aaf15dd2efc3": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "b6f73ac793ea47f8bae51d5ba996d44f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "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_dfa45ae9fdb243b5a248d8f6650d30c7", "IPY_MODEL_d7b256780abe4fcab8e591d6623a4ce8", "IPY_MODEL_37e94c61c34d48ebb0f89a3d70b961f8" ], "layout": "IPY_MODEL_91c6d3638f9045f1b855522fbe314f2d" } }, "b9d79f16ecea4e9fac883e8dc0e44b73": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "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_d2d6fed4d4de454abf7ba53040b8fae5", "IPY_MODEL_3dbf5c76cd554d2a8585d67c65190c4a", "IPY_MODEL_7b4103c00b9a438082f8aff513e3fa5c" ], "layout": "IPY_MODEL_e8a455e3136b4570b1c5b842d3912a99" } }, "bc615652607b4f79af53345328789493": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_0fe83e5f2c634466b37241cf4ccd2d05", "placeholder": "​", "style": "IPY_MODEL_5b39e8956903485f903231e371c31280", "value": " 21.0/21.0 [00:00<00:00, 803B/s]" } }, "bca84fb0723d4030948c36238246130a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "be5fe9925b07474d9d01ef01b77ca123": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "c46083dbe16f41a58b15ba9b6bef6083": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "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_47fc0977705c414db0fedc499dfdc376", "IPY_MODEL_653e66f7e4614eb5add2555d2e7360dc", "IPY_MODEL_13c9427228fe4cd485a74f7202f207e3" ], "layout": "IPY_MODEL_750abaaa97b24bafb1b57699615733dd" } }, "c4caf21e3cc6434fb729babc6ae5986e": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "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": "" } }, "c60b858cfc224e07b93f6f13e8f7e0f0": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_623020bfe9b1403bbe293e0055f629f8", "placeholder": "​", "style": "IPY_MODEL_f8accad555ba4c53897693a7e620aba4", "value": "Downloading (…)cial_tokens_map.json: 100%" } }, "c7f8bbd2fd884cd9a49929c1cbfae2e0": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "c94c2aba038a4f97a64ba13373b3640d": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "cb8e129618d24c96bfa31680e36153d7": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "cd5563aa8624490294fd8d8caa3485ca": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "d183eb2e25324f44b7dd67e4e7e31be6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_7da902f5358f475f8921e4b09f61675d", "placeholder": "​", "style": "IPY_MODEL_daebadbe5ff74f479b38648df60b4575", "value": " 217k/217k [00:00<00:00, 902kB/s]" } }, "d2d6fed4d4de454abf7ba53040b8fae5": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_dcf7dad35644429cbce0a8b526b40406", "placeholder": "​", "style": "IPY_MODEL_bca84fb0723d4030948c36238246130a", "value": "Extracting data files: 100%" } }, "d3fdeaa84e9d408b95fdc2c955ace0f2": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "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_99967feb2c53497f8762a24aea5d1891", "IPY_MODEL_5b1d217ebc1c49809a402374c642f407", "IPY_MODEL_275ae14fbc8d45b485fa47b2e217fe8b" ], "layout": "IPY_MODEL_cb8e129618d24c96bfa31680e36153d7" } }, "d7b256780abe4fcab8e591d6623a4ce8": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "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_c7f8bbd2fd884cd9a49929c1cbfae2e0", "max": 2, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_e608bc51eb3b4fd5b2678b14bf87b959", "value": 2 } }, "d9f2ebe7cf8841c2acd9e2456f872ad3": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "daebadbe5ff74f479b38648df60b4575": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "dcf7dad35644429cbce0a8b526b40406": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "dd2db5256df74032b6987b8d83b5c412": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "dfa45ae9fdb243b5a248d8f6650d30c7": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_509a541309a544f4a6881aefbffe9fee", "placeholder": "​", "style": "IPY_MODEL_61b6f1430d8c46eb89fa70bbc624dcf6", "value": "Loading checkpoint shards: 100%" } }, "e10ce3a19c0d4821bed240ce7ea602b4": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "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": "" } }, "e1bb0f5c135e4d999059d501eebac09f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "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": "" } }, "e1dcbf85502b40dc9d747e5a980de077": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "e1efd632f5544d7182c78bc653aeeb90": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "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": "" } }, "e1fbbe5020444ff39410a7c2b97faa16": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "e3eff8e4555c4238b92035a7df33ea4f": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "e42619c509f0454c8184920fde0a80b3": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "e51b57d4c39742d4bd3a2a2d7048162b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "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_75d6e6086b104a7d8a4a5fd15772e68c", "IPY_MODEL_6f0ecaefbf224eb5ab667d022f1454f2", "IPY_MODEL_d183eb2e25324f44b7dd67e4e7e31be6" ], "layout": "IPY_MODEL_e5a6d17438064bb68cb510f947e63926" } }, "e5a6d17438064bb68cb510f947e63926": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "e608bc51eb3b4fd5b2678b14bf87b959": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "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": "" } }, "e8a455e3136b4570b1c5b842d3912a99": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "ea6013f4f25542f3891fe56b5d142967": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "eae3723469174a1cbe9e2cf71cfe3e93": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "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_52f1cbeaf4654be99bd1444754d37acc", "max": 435, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_a892db8f539b48a0bdf454906bd6339f", "value": 435 } }, "ee9e059d28cb4b9e9411f7eab057d793": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "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": "" } }, "ef0b9759704741308d8069dbfefde3c1": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "ef5d452b55154ee9af7db3ff716d77f2": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "f0a5b72276374542b9b77e5f4c618bf8": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "f1be1a7ca917472e8b7c6cf8119ebcbc": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "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_afbb570686a348be83742f9c4bb0af44", "IPY_MODEL_247c7969dc534c0893f0665de35b25ad", "IPY_MODEL_b1393f658f2c422f850b955dab5565c0" ], "layout": "IPY_MODEL_49240e5e60bf41cc81f1e9210cb55f8d" } }, "f429622b1fe04a03b073e5279faeaa1a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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": "" } }, "f5f7618922554a03b76e9026241c8d68": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "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_7fea175ed2984207be909e56dcd1550f", "placeholder": "​", "style": "IPY_MODEL_ab49a847145f4532b82f2c6e92ae9aed", "value": " 1/1 [00:01<00:00, 1.50s/it]" } }, "f61a4daba8d64caab1e1728f595f7cc8": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "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 } }, "f8accad555ba4c53897693a7e620aba4": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "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 }