Delete finetune.ipynb

finetune.ipynb

@@ -1,2565 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "E1zyZkJbdFuH"
-   },
-   "source": [
-    "# How to Finetune Mistral AI 7B LLM with Hugging Face AutoTrain"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/"
-    },
-    "id": "j4yghPpHcxkG",
-    "outputId": "9c13119a-9c4b-4b24-ab1e-ae0695c9c863"
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
-      "\u001b[0m\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
-      "\u001b[0m"
-     ]
-    }
-   ],
-   "source": [
-    "!pip install -U autotrain-advanced -q\n",
-    "!pip install datasets transformers -q"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/",
-     "height": 177,
-     "referenced_widgets": [
-      "349b946a72ac46298a95db5e4229a381",
-      "a40f275727b54c9aa04b1fc4fff8a4fc",
-      "22fad0230fe24a43bdace165ee70558d",
-      "8efdcd2e9fcc4b8f83a6ed1c39a81b42",
-      "e005090ce2074654b3bf549d7dfa18bd",
-      "f3c42fd1fd2f4bc29bf462890b882bb2",
-      "87b2e58b20094d78a0f46b5c08c563b3",
-      "38c99e6e3f454d5ba33d4464fefa82c4",
-      "63057827544242d9a035c0873bc1d85f",
-      "fad3fdc1097244a391cc7d85f11def68",
-      "db26bb3f65bb42a7a5e0b46123f165d6",
-      "879964fd922048e7a5957b3b2d2e11ad",
-      "af67777d31c14f5680ca1d851ef6be2a",
-      "dedd6fd4d918415ebc0ee78fb053ed6a",
-      "03469a3882de440cb6a8c36b5a4568d6",
-      "80647814a92d48718aaef5be6d874ced",
-      "1eb94330421f4fa2bca65b82bedcbfef",
-      "cbea2a9da24f48a59214cee13cc6b153",
-      "d1c670a45b0f4befaa0e849ec8646a47",
-      "7dae960d1bb54f75914569fbdd45ef6c",
-      "d7708c22d8a34082b80a14302983159e",
-      "c59da8b062a84afebfad5da6ef5a496a",
-      "71089a885db64054b54e269b4e96c242",
-      "af2258a6b3884cf292819159088442a5",
-      "b7f44b7f635f4cf887c5794533737428",
-      "d397ee73099c45d69c53be2d6048bf9c",
-      "96f1acd888b145149358cbeb771c634c",
-      "e4dc8b48a318447cb8ebd7b20618bcb3",
-      "485fb67e13f04f8e92dcebf317d95488",
-      "a29d6df7874144f888fa88c52daf6ac9",
-      "77a1067871e4496893946bf485cec8af",
-      "c241b2d6899a4a62861d7e839091c2f7",
-      "249766ef96ac467caf7d529c29af60db",
-      "54d97d65052f415c9986ecf8e447b8a3",
-      "067ebf5a471e4546bc631f290411a664",
-      "208ccbf20b4d4591afa41b7a28588e7e",
-      "3e15b8ca59094602b881a91eba591596",
-      "196e0ec8434747279843840fc4c826f0",
-      "6385ed14895f414c8eda670301ebead9",
-      "f902ed42a30e476a8d508c50fa9fc602",
-      "269e619c72dd426ead5677f187c8a42b",
-      "e43fe266c77e495b9b422ccaeda2c03a",
-      "b5c1a43a427145eca43627135e967868",
-      "42737a9271d8445bb259b42b1d2bf77c",
-      "68e7d3bbc6f8420193c45055c39c333d",
-      "6bfe3ed1a59b4ecfaa566a88e58f5b9f",
-      "be3d90e349d14079874c730f0f273cc1",
-      "80639985213d47dcb3a3681dc98dfeed",
-      "29f34d4ed85f45b1bbec6d7f8d1145e6",
-      "37a803b8fec8453e891a2427c328a387",
-      "c052f02649bd40d8a60ea201c41be2f6",
-      "a9641d5441d24f4c901c86e6d5650c4e",
-      "1c295b1b2f374acfb7f2b7ddcfe3b960",
-      "0246b46f672247dab14d0ddd0c0a25ec",
-      "1d07551dc3b240da92032bcdc69fd796"
-     ]
-    },
-    "id": "AHZ9X2ALdAbd",
-    "outputId": "bbc01be1-17d3-4c8f-8b11-3b2a4c1d4d3f"
-   },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b138a11c06c447789ddbe117128c2ca3",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Downloading readme:   0%|          | 0.00/7.47k [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d5ecfb10bcb643b485e67ab2650ea831",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Downloading data files:   0%|          | 0/1 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e7f4c5df5478472297ab427f21ef1df9",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Downloading data:   0%|          | 0.00/24.2M [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "95fa808517c04f55b99aaf138640302c",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Extracting data files:   0%|          | 0/1 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "91bdba1d5ce7493ab466c0c6f6b948e5",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Generating train split: 0 examples [00:00, ? examples/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from datasets import load_dataset\n",
-    "import pandas as pd\n",
-    "\n",
-    "# Load the dataset\n",
-    "train= load_dataset(\"tatsu-lab/alpaca\",split='train[:10%]')\n",
-    "train = pd.DataFrame(train)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "13NK0qgZeQkN"
-   },
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "-Kb_0gjcddbT"
-   },
-   "source": [
-    "The dataset already contains the text columns with a format we need to fine-tune our LLM model. That’s why we don’t need to perform anything. However, I would provide a code if you have another dataset that needs the formatting."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "id": "rt09VgS2dehn"
-   },
-   "outputs": [],
-   "source": [
-    "def text_formatting(data):\n",
-    "\n",
-    "    # If the input column is not empty\n",
-    "    if data['input']:\n",
-    "\n",
-    "        text = f\"\"\"Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\\n\\n### Instruction:\\n{data[\"instruction\"]} \\n\\n### Input:\\n{data[\"input\"]}\\n\\n### Response:\\n{data[\"output\"]}\"\"\"\n",
-    "\n",
-    "    else:\n",
-    "\n",
-    "        text = f\"\"\"Below is an instruction that describes a task. Write a response that appropriately completes the request.\\n\\n### Instruction:\\n{data[\"instruction\"]}\\n\\n### Response:\\n{data[\"output\"]}\"\"\"\n",
-    "\n",
-    "    return text\n",
-    "\n",
-    "train['text'] = train.apply(text_formatting, axis =1)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "y5OqQjqRdokC"
-   },
-   "source": [
-    "For the Hugging Face AutoTrain, we would need the data in the CSV format so that we would save the data with the following code."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "id": "QMaTqtpfdjoj"
-   },
-   "outputs": [],
-   "source": [
-    "train.to_csv('train.csv', index = False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "UpGg8NRKdsEQ"
-   },
-   "source": [
-    "If you want to fine-tune the Mistral 7B Instruct v0.1 for conversation and question answering, we need to follow the chat template format provided by Mistral, shown in the code block below.\n",
-    "\n",
-    "```\n",
-    "<s>[INST] Instruction [/INST] Model answer</s>[INST] Follow-up instruction [/INST]\n",
-    "```"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "zUkxtYZ-eDxR"
-   },
-   "source": [
-    "We would use only the data without any input for the chat model."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "id": "pMduUpJmdrKg"
-   },
-   "outputs": [],
-   "source": [
-    "train_chat = train[train['input'] == ''].reset_index(drop = True).copy()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "m_jN0bDEeRba"
-   },
-   "source": [
-    "Then, we could reformat the data with the following code."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "id": "y5d5KjKseRxs"
-   },
-   "outputs": [],
-   "source": [
-    "def chat_formatting(data):\n",
-    "\n",
-    "  text = f\"<s>[INST] {data['instruction']} [/INST] {data['output']} </s>\"\n",
-    "\n",
-    "  return text\n",
-    "\n",
-    "train_chat['text'] = train_chat.apply(chat_formatting, axis =1)\n",
-    "train_chat.to_csv('train_chat.csv', index =False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "uPxeXTsweZor"
-   },
-   "source": [
-    "# Training and Fine-tuning\n",
-    "\n",
-    "\n",
-    "Let’s set up the Hugging Face AutoTrain environment to fine-tune the Mistral model. First, let’s run the AutoTrain setup using the following command."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/"
-    },
-    "id": "du0G6-fCeUI4",
-    "outputId": "309254c2-1210-4b6f-ea61-3fa642db07e6"
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "> \u001b[1mINFO    Installing latest xformers\u001b[0m\n",
-      "> \u001b[1mINFO    Successfully installed latest xformers\u001b[0m\n"
-     ]
-    }
-   ],
-   "source": [
-    "!autotrain setup"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "id": "TkxXDYnFgl1d"
-   },
-   "outputs": [],
-   "source": [
-    "!mkdir data\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "YAlexnSeelKL"
-   },
-   "source": [
-    "let’s use the Mistral 7B Instruct v0.1."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "id": "gomc9H3zemN-"
-   },
-   "outputs": [],
-   "source": [
-    "project_name = 'my_autotrain_llm'\n",
-    "model_name = 'mistralai/Mistral-7B-Instruct-v0.1'"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "qg_3MVYAeti5"
-   },
-   "source": [
-    "Then, we would add the Hugging Face information if you want to push your model to the repository."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "id": "8_AHiHnWeoNI"
-   },
-   "outputs": [],
-   "source": [
-    "push_to_hub = True\n",
-    "hf_token = \""\n",
-    "repo_id = \"Andyrasika/mistral_autotrain_llm\""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "_YSh92jHfGc7"
-   },
-   "source": [
-    "Lastly, we would initiate the model parameter information in the variables below. You can change them to see if the result is good."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "id": "4CgrMR_LfBEp"
-   },
-   "outputs": [],
-   "source": [
-    "learning_rate = 2e-4\n",
-    "num_epochs = 4\n",
-    "batch_size = 1\n",
-    "block_size = 1024\n",
-    "trainer = \"sft\"\n",
-    "warmup_ratio = 0.1\n",
-    "weight_decay = 0.01\n",
-    "gradient_accumulation = 4\n",
-    "use_fp16 = True\n",
-    "use_peft = True\n",
-    "use_int4 = True\n",
-    "lora_r = 16\n",
-    "lora_alpha = 32\n",
-    "lora_dropout = 0.045"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "oSzTX6CIfSsQ"
-   },
-   "source": [
-    "When all the information is ready, we will set up the environment to accept all the information we have set up previously."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "id": "D2hxzc4VfE2r"
-   },
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.environ[\"PROJECT_NAME\"] = project_name\n",
-    "os.environ[\"MODEL_NAME\"] = model_name\n",
-    "os.environ[\"PUSH_TO_HUB\"] = str(push_to_hub)\n",
-    "os.environ[\"HF_TOKEN\"] = hf_token\n",
-    "os.environ[\"REPO_ID\"] = repo_id\n",
-    "os.environ[\"LEARNING_RATE\"] = str(learning_rate)\n",
-    "os.environ[\"NUM_EPOCHS\"] = str(num_epochs)\n",
-    "os.environ[\"BATCH_SIZE\"] = str(batch_size)\n",
-    "os.environ[\"BLOCK_SIZE\"] = str(block_size)\n",
-    "os.environ[\"WARMUP_RATIO\"] = str(warmup_ratio)\n",
-    "os.environ[\"WEIGHT_DECAY\"] = str(weight_decay)\n",
-    "os.environ[\"GRADIENT_ACCUMULATION\"] = str(gradient_accumulation)\n",
-    "os.environ[\"USE_FP16\"] = str(use_fp16)\n",
-    "os.environ[\"USE_PEFT\"] = str(use_peft)\n",
-    "os.environ[\"USE_INT4\"] = str(use_int4)\n",
-    "os.environ[\"LORA_R\"] = str(lora_r)\n",
-    "os.environ[\"LORA_ALPHA\"] = str(lora_alpha)\n",
-    "os.environ[\"LORA_DROPOUT\"] = str(lora_dropout)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/"
-    },
-    "id": "1Aea0SPPfU-o",
-    "outputId": "866a7737-ee30-4807-9ac2-cea83f7c9759"
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "> \u001b[1mINFO    Running LLM\u001b[0m\n",
-      "> \u001b[1mINFO    Params: Namespace(version=False, train=True, deploy=False, inference=False, data_path='data/', train_split='train', valid_split=None, text_column='text', rejected_text_column='rejected', prompt_text_column='prompt', model='mistralai/Mistral-7B-Instruct-v0.1', model_ref=None, learning_rate=0.0002, num_train_epochs=4, train_batch_size=1, warmup_ratio=0.1, gradient_accumulation_steps=4, optimizer='adamw_torch', scheduler='linear', weight_decay=0.01, max_grad_norm=1.0, seed=42, add_eos_token=False, block_size=1024, use_peft=True, lora_r=16, lora_alpha=32, lora_dropout=0.045, logging_steps=-1, project_name='my_autotrain_llm', evaluation_strategy='epoch', save_total_limit=1, save_strategy='epoch', auto_find_batch_size=False, fp16=True, push_to_hub=True, use_int8=False, model_max_length=1024, repo_id='Andyrasika/mistral_autotrain_llm', use_int4=True, trainer='default', target_modules='q_proj,v_proj', merge_adapter=False, token='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', backend='default', username=None, use_flash_attention_2=False, log='none', disable_gradient_checkpointing=False, dpo_beta=0.1, func=<function run_llm_command_factory at 0x7fd29fe97b50>)\u001b[0m\n",
-      "Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n",
-      "Loading checkpoint shards: 100%|██████████████████| 2/2 [00:10<00:00,  5.27s/it]\n",
-      "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py:374: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers.\n",
-      "  warnings.warn(\n",
-      "> \u001b[1mINFO    Using block size 1024\u001b[0m\n",
-      "Running tokenizer on train dataset: 100%|█| 2919/2919 [00:00<00:00, 16401.43 exa\n",
-      "Grouping texts in chunks of 1024 (num_proc=4): 100%|█| 2919/2919 [00:00<00:00, 8\n",
-      "/usr/local/lib/python3.10/dist-packages/datasets/table.py:1395: FutureWarning: promote has been superseded by mode='default'.\n",
-      "  block_group = [InMemoryTable(cls._concat_blocks(list(block_group), axis=axis))]\n",
-      "/usr/local/lib/python3.10/dist-packages/datasets/table.py:1421: FutureWarning: promote has been superseded by mode='default'.\n",
-      "  table = cls._concat_blocks(blocks, axis=0)\n",
-      "> \u001b[1mINFO    creating trainer\u001b[0m\n",
-      "Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n",
-      "  0%|                                                   | 0/272 [00:00<?, ?it/s]/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",
-      "{'loss': 1.6221, 'learning_rate': 0.00017868852459016393, 'epoch': 0.79}        \n",
-      " 25%|██████████▌                               | 68/272 [06:12<18:36,  5.47s/it]/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",
-      "{'loss': 1.1985, 'learning_rate': 0.00013442622950819673, 'epoch': 1.58}        \n",
-      " 50%|████████████████████▋                    | 137/272 [12:30<12:19,  5.48s/it]/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",
-      "{'loss': 1.1718, 'learning_rate': 9.016393442622952e-05, 'epoch': 2.36}         \n",
-      " 75%|██████████████████████████████▉          | 205/272 [18:43<06:06,  5.48s/it]/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",
-      "{'loss': 1.1195, 'learning_rate': 4.672131147540984e-05, 'epoch': 3.15}         \n",
-      "{'loss': 1.0857, 'learning_rate': 2.459016393442623e-06, 'epoch': 3.94}         \n",
-      "{'train_runtime': 1490.6488, 'train_samples_per_second': 0.735, 'train_steps_per_second': 0.182, 'train_loss': 1.2388554951723885, 'epoch': 3.97}\n",
-      "100%|█████████████████████████████████████████| 272/272 [24:50<00:00,  5.48s/it]\n",
-      "> \u001b[1mINFO    Finished training, saving model...\u001b[0m\n",
-      "> \u001b[1mINFO    Pushing model to hub...\u001b[0m\n",
-      "adapter_model.bin:   0%|                            | 0.00/27.3M [00:00<?, ?B/s]\n",
-      "adapter_model.bin:   0%|                            | 0.00/27.3M [00:00<?, ?B/s]\u001b[A\n",
-      "\n",
-      "optimizer.pt:   0%|                                 | 0.00/54.6M [00:00<?, ?B/s]\u001b[A\u001b[A\n",
-      "\n",
-      "\n",
-      "Upload 10 LFS files:   0%|                               | 0/10 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\n",
-      "\n",
-      "\n",
-      "\n",
-      "pytorch_model.bin:   0%|                              | 0.00/888 [00:00<?, ?B/s]\u001b[A\u001b[A\u001b[A\u001b[A\n",
-      "\n",
-      "\n",
-      "\n",
-      "\n",
-      "rng_state.pth:   0%|                                | 0.00/14.2k [00:00<?, ?B/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
-      "\n",
-      "\n",
-      "\n",
-      "pytorch_model.bin: 100%|███████████████████████| 888/888 [00:00<00:00, 1.48kB/s]\u001b[A\u001b[A\u001b[A\u001b[A\n",
-      "\n",
-      "\n",
-      "\n",
-      "\n",
-      "rng_state.pth:  58%|█████████████▏         | 8.19k/14.2k [00:00<00:00, 13.5kB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
-      "adapter_model.bin:   0%|                   | 8.19k/27.3M [00:00<36:31, 12.5kB/s]\u001b[A\n",
-      "\n",
-      "optimizer.pt:   0%|                      | 8.19k/54.6M [00:00<1:11:58, 12.6kB/s]\u001b[A\u001b[A\n",
-      "adapter_model.bin:   9%|█▊                 | 2.57M/27.3M [00:00<00:05, 4.56MB/s]\u001b[A\n",
-      "\n",
-      "pytorch_model.bin: 100%|███████████████████████| 888/888 [00:00<00:00, 1.18kB/s]\u001b[A\u001b[A\n",
-      "\n",
-      "adapter_model.bin:  20%|███▊               | 5.55M/27.3M [00:00<00:02, 8.02MB/s]\u001b[A\n",
-      "\n",
-      "adapter_model.bin:  16%|███                | 4.37M/27.3M [00:00<00:03, 6.20MB/s]\u001b[A\u001b[A\n",
-      "adapter_model.bin:  29%|█████▍             | 7.81M/27.3M [00:01<00:01, 10.7MB/s]\u001b[A\n",
-      "\n",
-      "rng_state.pth: 100%|███████████████████████| 14.2k/14.2k [00:01<00:00, 13.2kB/s]\u001b[A\u001b[A\n",
-      "\n",
-      "\n",
-      "adapter_model.bin:  31%|█████▊             | 8.40M/27.3M [00:01<00:01, 11.2MB/s]\u001b[A\u001b[A\n",
-      "adapter_model.bin:  38%|███████▎           | 10.4M/27.3M [00:01<00:01, 10.6MB/s]\u001b[A\n",
-      "\n",
-      "\n",
-      "\n",
-      "scheduler.pt:   0%|                                 | 0.00/1.06k [00:00<?, ?B/s]\u001b[A\u001b[A\u001b[A\u001b[A\n",
-      "\n",
-      "adapter_model.bin:  43%|████████▏          | 11.8M/27.3M [00:01<00:01, 13.3MB/s]\u001b[A\u001b[A\n",
-      "adapter_model.bin:  50%|█████████▌         | 13.7M/27.3M [00:01<00:01, 13.0MB/s]\u001b[A\n",
-      "\n",
-      "adapter_model.bin:  55%|██████████▌        | 15.1M/27.3M [00:01<00:00, 16.0MB/s]\u001b[A\u001b[A\n",
-      "\n",
-      "\n",
-      "\n",
-      "\n",
-      "scheduler.pt: 100%|████████████████████████| 1.06k/1.06k [00:00<00:00, 2.74kB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
-      "\n",
-      "\n",
-      "\n",
-      "\n",
-      "training_args.bin:   0%|                            | 0.00/4.47k [00:00<?, ?B/s]\u001b[A\u001b[A\u001b[A\u001b[A\n",
-      "adapter_model.bin:  59%|███████████▏       | 16.0M/27.3M [00:01<00:01, 8.57MB/s]\u001b[A\n",
-      "\n",
-      "adapter_model.bin:  62%|███████████▊       | 17.0M/27.3M [00:02<00:01, 8.69MB/s]\u001b[A\u001b[A\n",
-      "\n",
-      "optimizer.pt:  39%|█████████▍              | 21.5M/54.6M [00:02<00:02, 14.6MB/s]\u001b[A\u001b[A\n",
-      "tokenizer.model: 100%|████████████████████████| 493k/493k [00:00<00:00, 881kB/s]\u001b[A\n",
-      "adapter_model.bin:  74%|█████████████▉     | 20.1M/27.3M [00:02<00:00, 11.3MB/s]\n",
-      "\n",
-      "training_args.bin: 100%|███████████████████| 4.47k/4.47k [00:00<00:00, 17.7kB/s]\u001b[A\u001b[A\n",
-      "\n",
-      "adapter_model.bin:  82%|███████████████▌   | 22.4M/27.3M [00:02<00:00, 13.1MB/s]\u001b[A\n",
-      "\n",
-      "optimizer.pt:  49%|███████████▋            | 26.7M/54.6M [00:02<00:01, 18.6MB/s]\u001b[A\u001b[A\n",
-      "\n",
-      "\n",
-      "\n",
-      "adapter_model.bin:  93%|█████████████████▋ | 25.4M/27.3M [00:02<00:00, 16.0MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\n",
-      "\n",
-      "\n",
-      "\n",
-      "\n",
-      "training_args.bin:   0%|                            | 0.00/4.47k [00:00<?, ?B/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
-      "\n",
-      "optimizer.pt:  59%|██████████████          | 32.0M/54.6M [00:02<00:01, 18.4MB/s]\u001b[A\u001b[A\n",
-      "adapter_model.bin:  96%|██████████████████▏| 26.2M/27.3M [00:02<00:00, 11.5MB/s]\u001b[A\n",
-      "\n",
-      "training_args.bin: 100%|███████████████████| 4.47k/4.47k [00:00<00:00, 11.7kB/s]\u001b[A\u001b[A\n",
-      "\n",
-      "\n",
-      "tokenizer.model: 100%|████████████████████████| 493k/493k [00:00<00:00, 643kB/s]\u001b[A\u001b[A\n",
-      "adapter_model.bin: 100%|███████████████████| 27.3M/27.3M [00:03<00:00, 8.30MB/s]\n",
-      "\n",
-      "\n",
-      "adapter_model.bin: 100%|███████████████████| 27.3M/27.3M [00:03<00:00, 7.91MB/s]\u001b[A\u001b[A\n",
-      "\n",
-      "\n",
-      "optimizer.pt:  88%|█████████████████████▏  | 48.1M/54.6M [00:03<00:00, 10.6MB/s]\u001b[A\u001b[A\n",
-      "\n",
-      "\n",
-      "optimizer.pt: 100%|████████████████████████| 54.6M/54.6M [00:04<00:00, 11.3MB/s]\u001b[A\u001b[A\u001b[A\n",
-      "\n",
-      "\n",
-      "\n",
-      "Upload 10 LFS files: 100%|██████████████████████| 10/10 [00:05<00:00,  1.91it/s]\u001b[A\u001b[A\u001b[A\n"
-     ]
-    }
-   ],
-   "source": [
-    "!autotrain llm \\\n",
-    "--train \\\n",
-    "--model ${MODEL_NAME} \\\n",
-    "--project-name ${PROJECT_NAME} \\\n",
-    "--data-path data/ \\\n",
-    "--text-column text \\\n",
-    "--lr ${LEARNING_RATE} \\\n",
-    "--batch-size ${BATCH_SIZE} \\\n",
-    "--epochs ${NUM_EPOCHS} \\\n",
-    "--block-size ${BLOCK_SIZE} \\\n",
-    "--warmup-ratio ${WARMUP_RATIO} \\\n",
-    "--lora-r ${LORA_R} \\\n",
-    "--lora-alpha ${LORA_ALPHA} \\\n",
-    "--lora-dropout ${LORA_DROPOUT} \\\n",
-    "--target_modules q_proj,v_proj \\\n",
-    "--weight-decay ${WEIGHT_DECAY} \\\n",
-    "--gradient-accumulation ${GRADIENT_ACCUMULATION} \\\n",
-    "$( [[ \"$USE_FP16\" == \"True\" ]] && echo \"--fp16\" ) \\\n",
-    "$( [[ \"$USE_PEFT\" == \"True\" ]] && echo \"--use-peft\" ) \\\n",
-    "$( [[ \"$USE_INT4\" == \"True\" ]] && echo \"--use-int4\" ) \\\n",
-    "$( [[ \"$PUSH_TO_HUB\" == \"True\" ]] && echo \"--push-to-hub --token ${HF_TOKEN} --repo-id ${REPO_ID}\" )"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "df8a23a00d324ce9b75ab46be15c45c1",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from huggingface_hub import notebook_login\n",
-    "notebook_login()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {
-    "id": "7KCWb68ufYNx"
-   },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "52b6379edab4461ea5e6ac2b1a38648a",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Downloading (…)okenizer_config.json:   0%|          | 0.00/1.39k [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f5d783597eb84c628a9a72023ac94806",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Downloading tokenizer.model:   0%|          | 0.00/493k [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "adef9f06343b4549b22cd565152a0f98",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Downloading (…)/main/tokenizer.json:   0%|          | 0.00/1.80M [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "2a674d46e0084d61abebde36e42c0774",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Downloading (…)cial_tokens_map.json:   0%|          | 0.00/437 [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "aed414ba3d4544178e159b9840f1f4b6",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Downloading (…)/adapter_config.json:   0%|          | 0.00/458 [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "65f87796eb044b73859b43bf5e435759",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "23dccfc550ad436a9f53f909478f2e26",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Downloading adapter_model.bin:   0%|          | 0.00/27.3M [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from transformers import AutoModelForCausalLM, AutoTokenizer\n",
-    "\n",
-    "model_path = \"Andyrasika/mistral_autotrain_llm\"\n",
-    "tokenizer = AutoTokenizer.from_pretrained(model_path)\n",
-    "model = AutoModelForCausalLM.from_pretrained(model_path)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "The attention mask and the pad token id were not set. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.\n",
-      "Setting `pad_token_id` to `eos_token_id`:2 for open-end generation.\n",
-      "/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py:1260: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<s> Health benefits of regular exercise include improved cardiovascular health, increased strength and flexibility, improved mental\n"
-     ]
-    }
-   ],
-   "source": [
-    "input_text = \"Health benefits of regular exercise\"\n",
-    "input_ids = tokenizer.encode(input_text, return_tensors=\"pt\")\n",
-    "output = model.generate(input_ids)\n",
-    "predicted_text = tokenizer.decode(output[0], skip_special_tokens=False)\n",
-    "print(predicted_text)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "accelerator": "GPU",
-  "colab": {
-   "gpuType": "T4",
-   "provenance": []
-  },
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.12"
-  },
-  "widgets": {
-   "application/vnd.jupyter.widget-state+json": {
-    "0246b46f672247dab14d0ddd0c0a25ec": {
-     "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
-     }
-    },
-    "03469a3882de440cb6a8c36b5a4568d6": {
-     "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_d7708c22d8a34082b80a14302983159e",
-      "placeholder": "​",
-      "style": "IPY_MODEL_c59da8b062a84afebfad5da6ef5a496a",
-      "value": " 1/1 [00:01&lt;00:00,  1.00s/it]"
-     }
-    },
-    "067ebf5a471e4546bc631f290411a664": {
-     "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_6385ed14895f414c8eda670301ebead9",
-      "placeholder": "​",
-      "style": "IPY_MODEL_f902ed42a30e476a8d508c50fa9fc602",
-      "value": "Extracting data files: 100%"
-     }
-    },
-    "196e0ec8434747279843840fc4c826f0": {
-     "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
-     }
-    },
-    "1c295b1b2f374acfb7f2b7ddcfe3b960": {
-     "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": ""
-     }
-    },
-    "1d07551dc3b240da92032bcdc69fd796": {
-     "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": ""
-     }
-    },
-    "1eb94330421f4fa2bca65b82bedcbfef": {
-     "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
-     }
-    },
-    "208ccbf20b4d4591afa41b7a28588e7e": {
-     "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_269e619c72dd426ead5677f187c8a42b",
-      "max": 1,
-      "min": 0,
-      "orientation": "horizontal",
-      "style": "IPY_MODEL_e43fe266c77e495b9b422ccaeda2c03a",
-      "value": 1
-     }
-    },
-    "22fad0230fe24a43bdace165ee70558d": {
-     "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_38c99e6e3f454d5ba33d4464fefa82c4",
-      "max": 7472,
-      "min": 0,
-      "orientation": "horizontal",
-      "style": "IPY_MODEL_63057827544242d9a035c0873bc1d85f",
-      "value": 7472
-     }
-    },
-    "249766ef96ac467caf7d529c29af60db": {
-     "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": ""
-     }
-    },
-    "269e619c72dd426ead5677f187c8a42b": {
-     "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
-     }
-    },
-    "29f34d4ed85f45b1bbec6d7f8d1145e6": {
-     "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
-     }
-    },
-    "349b946a72ac46298a95db5e4229a381": {
-     "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_a40f275727b54c9aa04b1fc4fff8a4fc",
-       "IPY_MODEL_22fad0230fe24a43bdace165ee70558d",
-       "IPY_MODEL_8efdcd2e9fcc4b8f83a6ed1c39a81b42"
-      ],
-      "layout": "IPY_MODEL_e005090ce2074654b3bf549d7dfa18bd"
-     }
-    },
-    "37a803b8fec8453e891a2427c328a387": {
-     "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
-     }
-    },
-    "38c99e6e3f454d5ba33d4464fefa82c4": {
-     "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
-     }
-    },
-    "3e15b8ca59094602b881a91eba591596": {
-     "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_b5c1a43a427145eca43627135e967868",
-      "placeholder": "​",
-      "style": "IPY_MODEL_42737a9271d8445bb259b42b1d2bf77c",
-      "value": " 1/1 [00:00&lt;00:00, 31.43it/s]"
-     }
-    },
-    "42737a9271d8445bb259b42b1d2bf77c": {
-     "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": ""
-     }
-    },
-    "485fb67e13f04f8e92dcebf317d95488": {
-     "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": ""
-     }
-    },
-    "54d97d65052f415c9986ecf8e447b8a3": {
-     "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_067ebf5a471e4546bc631f290411a664",
-       "IPY_MODEL_208ccbf20b4d4591afa41b7a28588e7e",
-       "IPY_MODEL_3e15b8ca59094602b881a91eba591596"
-      ],
-      "layout": "IPY_MODEL_196e0ec8434747279843840fc4c826f0"
-     }
-    },
-    "63057827544242d9a035c0873bc1d85f": {
-     "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": ""
-     }
-    },
-    "6385ed14895f414c8eda670301ebead9": {
-     "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
-     }
-    },
-    "68e7d3bbc6f8420193c45055c39c333d": {
-     "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_6bfe3ed1a59b4ecfaa566a88e58f5b9f",
-       "IPY_MODEL_be3d90e349d14079874c730f0f273cc1",
-       "IPY_MODEL_80639985213d47dcb3a3681dc98dfeed"
-      ],
-      "layout": "IPY_MODEL_29f34d4ed85f45b1bbec6d7f8d1145e6"
-     }
-    },
-    "6bfe3ed1a59b4ecfaa566a88e58f5b9f": {
-     "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_37a803b8fec8453e891a2427c328a387",
-      "placeholder": "​",
-      "style": "IPY_MODEL_c052f02649bd40d8a60ea201c41be2f6",
-      "value": "Generating train split: "
-     }
-    },
-    "71089a885db64054b54e269b4e96c242": {
-     "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_af2258a6b3884cf292819159088442a5",
-       "IPY_MODEL_b7f44b7f635f4cf887c5794533737428",
-       "IPY_MODEL_d397ee73099c45d69c53be2d6048bf9c"
-      ],
-      "layout": "IPY_MODEL_96f1acd888b145149358cbeb771c634c"
-     }
-    },
-    "77a1067871e4496893946bf485cec8af": {
-     "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": ""
-     }
-    },
-    "7dae960d1bb54f75914569fbdd45ef6c": {
-     "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": ""
-     }
-    },
-    "80639985213d47dcb3a3681dc98dfeed": {
-     "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_0246b46f672247dab14d0ddd0c0a25ec",
-      "placeholder": "​",
-      "style": "IPY_MODEL_1d07551dc3b240da92032bcdc69fd796",
-      "value": " 52002/0 [00:00&lt;00:00, 160684.66 examples/s]"
-     }
-    },
-    "80647814a92d48718aaef5be6d874ced": {
-     "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
-     }
-    },
-    "879964fd922048e7a5957b3b2d2e11ad": {
-     "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_af67777d31c14f5680ca1d851ef6be2a",
-       "IPY_MODEL_dedd6fd4d918415ebc0ee78fb053ed6a",
-       "IPY_MODEL_03469a3882de440cb6a8c36b5a4568d6"
-      ],
-      "layout": "IPY_MODEL_80647814a92d48718aaef5be6d874ced"
-     }
-    },
-    "87b2e58b20094d78a0f46b5c08c563b3": {
-     "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": ""
-     }
-    },
-    "8efdcd2e9fcc4b8f83a6ed1c39a81b42": {
-     "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_fad3fdc1097244a391cc7d85f11def68",
-      "placeholder": "​",
-      "style": "IPY_MODEL_db26bb3f65bb42a7a5e0b46123f165d6",
-      "value": " 7.47k/7.47k [00:00&lt;00:00, 150kB/s]"
-     }
-    },
-    "96f1acd888b145149358cbeb771c634c": {
-     "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
-     }
-    },
-    "a29d6df7874144f888fa88c52daf6ac9": {
-     "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
-     }
-    },
-    "a40f275727b54c9aa04b1fc4fff8a4fc": {
-     "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_f3c42fd1fd2f4bc29bf462890b882bb2",
-      "placeholder": "​",
-      "style": "IPY_MODEL_87b2e58b20094d78a0f46b5c08c563b3",
-      "value": "Downloading readme: 100%"
-     }
-    },
-    "a9641d5441d24f4c901c86e6d5650c4e": {
-     "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"
-     }
-    },
-    "af2258a6b3884cf292819159088442a5": {
-     "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_e4dc8b48a318447cb8ebd7b20618bcb3",
-      "placeholder": "​",
-      "style": "IPY_MODEL_485fb67e13f04f8e92dcebf317d95488",
-      "value": "Downloading data: 100%"
-     }
-    },
-    "af67777d31c14f5680ca1d851ef6be2a": {
-     "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_1eb94330421f4fa2bca65b82bedcbfef",
-      "placeholder": "​",
-      "style": "IPY_MODEL_cbea2a9da24f48a59214cee13cc6b153",
-      "value": "Downloading data files: 100%"
-     }
-    },
-    "b5c1a43a427145eca43627135e967868": {
-     "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
-     }
-    },
-    "b7f44b7f635f4cf887c5794533737428": {
-     "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_a29d6df7874144f888fa88c52daf6ac9",
-      "max": 24246638,
-      "min": 0,
-      "orientation": "horizontal",
-      "style": "IPY_MODEL_77a1067871e4496893946bf485cec8af",
-      "value": 24246638
-     }
-    },
-    "be3d90e349d14079874c730f0f273cc1": {
-     "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_a9641d5441d24f4c901c86e6d5650c4e",
-      "max": 1,
-      "min": 0,
-      "orientation": "horizontal",
-      "style": "IPY_MODEL_1c295b1b2f374acfb7f2b7ddcfe3b960",
-      "value": 1
-     }
-    },
-    "c052f02649bd40d8a60ea201c41be2f6": {
-     "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": ""
-     }
-    },
-    "c241b2d6899a4a62861d7e839091c2f7": {
-     "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
-     }
-    },
-    "c59da8b062a84afebfad5da6ef5a496a": {
-     "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": ""
-     }
-    },
-    "cbea2a9da24f48a59214cee13cc6b153": {
-     "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": ""
-     }
-    },
-    "d1c670a45b0f4befaa0e849ec8646a47": {
-     "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
-     }
-    },
-    "d397ee73099c45d69c53be2d6048bf9c": {
-     "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_c241b2d6899a4a62861d7e839091c2f7",
-      "placeholder": "​",
-      "style": "IPY_MODEL_249766ef96ac467caf7d529c29af60db",
-      "value": " 24.2M/24.2M [00:00&lt;00:00, 27.7MB/s]"
-     }
-    },
-    "d7708c22d8a34082b80a14302983159e": {
-     "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
-     }
-    },
-    "db26bb3f65bb42a7a5e0b46123f165d6": {
-     "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": ""
-     }
-    },
-    "dedd6fd4d918415ebc0ee78fb053ed6a": {
-     "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_d1c670a45b0f4befaa0e849ec8646a47",
-      "max": 1,
-      "min": 0,
-      "orientation": "horizontal",
-      "style": "IPY_MODEL_7dae960d1bb54f75914569fbdd45ef6c",
-      "value": 1
-     }
-    },
-    "e005090ce2074654b3bf549d7dfa18bd": {
-     "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
-     }
-    },
-    "e43fe266c77e495b9b422ccaeda2c03a": {
-     "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": ""
-     }
-    },
-    "e4dc8b48a318447cb8ebd7b20618bcb3": {
-     "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
-     }
-    },
-    "f3c42fd1fd2f4bc29bf462890b882bb2": {
-     "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
-     }
-    },
-    "f902ed42a30e476a8d508c50fa9fc602": {
-     "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": ""
-     }
-    },
-    "fad3fdc1097244a391cc7d85f11def68": {
-     "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
-     }
-    }
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}