{
  "cells": [
    {
      "cell_type": "code",
      "id": "initial_id",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2024-07-01T11:08:00.253851Z",
          "start_time": "2024-07-01T11:08:00.067738Z"
        },
        "id": "initial_id"
      },
      "source": [
        "import torch\n",
        "from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, TrainingArguments\n",
        "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")"
      ],
      "outputs": [],
      "execution_count": 2
    },
    {
      "cell_type": "code",
      "id": "df5ce2489db64f8d",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2024-07-01T11:08:15.731889Z",
          "start_time": "2024-07-01T11:08:03.640950Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 205,
          "referenced_widgets": [
            "6ecdc71d497b4ab7bc6dca2ace0bd656",
            "2af56a7c045d4bc294c6cb6d362a8120",
            "f5611ea1eab5406eb5796ffed1218a0c",
            "68855bdfbeed46e7b7e3d82a9b4c0988",
            "24b9e5603be54e72b2bcf99be716b97d",
            "64c42ce2cab04fb0aed8e65efebdfd11",
            "85fc022f4f1841e480af3f5496f36fe0",
            "2e384f5f20db45579dc708ede8b15c87",
            "c9409991f35d4966989cf936f88fe99a",
            "0f4ba7cacc6d49599f3178b738092e09",
            "ddf9f8decaf948bbb67b8f71610c31b1",
            "46756e51804c48ebbabee753ea455457",
            "f98f7a5726d6434d9087fe521e136795",
            "cc3c582d99d24da1b7bf1f8168961749",
            "81b3bc430cc7409f9f51cd222fb0ca0e",
            "f66bc695f26e4603ac38f23168e65763",
            "d4a74b31d8064a5bba43849ed4b6658b",
            "72731803b79343b0b6a61d722009b6b6",
            "0ff317589550455f8eef5021912dd27c",
            "7e110f5c777442c4aab4ea06a27a3dc1",
            "ae1843d43b0f4199ba61e8c9e962f2b3",
            "d72cd66e520a4eea83c06d7df23ccc0e"
          ]
        },
        "id": "df5ce2489db64f8d",
        "outputId": "34a739e5-75cd-4f03-b6b2-15e4b767bb64"
      },
      "source": [
        "tokenizer = AutoTokenizer.from_pretrained(\"google/flan-t5-xl\")\n",
        "model = AutoModelForSeq2SeqLM.from_pretrained(\"google/flan-t5-xl\")"
      ],
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "6ecdc71d497b4ab7bc6dca2ace0bd656"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "generation_config.json:   0%|          | 0.00/147 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "46756e51804c48ebbabee753ea455457"
            }
          },
          "metadata": {}
        }
      ],
      "execution_count": 3
    },
    {
      "cell_type": "code",
      "source": [
        "model.to(device)"
      ],
      "metadata": {
        "collapsed": true,
        "id": "WJ623uJ0XR60",
        "outputId": "54381bb6-1b49-4478-e5b8-b20b03dc388a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "id": "WJ623uJ0XR60",
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "T5ForConditionalGeneration(\n",
              "  (shared): Embedding(32128, 2048)\n",
              "  (encoder): T5Stack(\n",
              "    (embed_tokens): Embedding(32128, 2048)\n",
              "    (block): ModuleList(\n",
              "      (0): T5Block(\n",
              "        (layer): ModuleList(\n",
              "          (0): T5LayerSelfAttention(\n",
              "            (SelfAttention): T5Attention(\n",
              "              (q): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (k): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (v): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (o): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (relative_attention_bias): Embedding(32, 32)\n",
              "            )\n",
              "            (layer_norm): T5LayerNorm()\n",
              "            (dropout): Dropout(p=0.1, inplace=False)\n",
              "          )\n",
              "          (1): T5LayerFF(\n",
              "            (DenseReluDense): T5DenseGatedActDense(\n",
              "              (wi_0): Linear(in_features=2048, out_features=5120, bias=False)\n",
              "              (wi_1): Linear(in_features=2048, out_features=5120, bias=False)\n",
              "              (wo): Linear(in_features=5120, out_features=2048, bias=False)\n",
              "              (dropout): Dropout(p=0.1, inplace=False)\n",
              "              (act): NewGELUActivation()\n",
              "            )\n",
              "            (layer_norm): T5LayerNorm()\n",
              "            (dropout): Dropout(p=0.1, inplace=False)\n",
              "          )\n",
              "        )\n",
              "      )\n",
              "      (1-23): 23 x T5Block(\n",
              "        (layer): ModuleList(\n",
              "          (0): T5LayerSelfAttention(\n",
              "            (SelfAttention): T5Attention(\n",
              "              (q): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (k): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (v): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (o): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "            )\n",
              "            (layer_norm): T5LayerNorm()\n",
              "            (dropout): Dropout(p=0.1, inplace=False)\n",
              "          )\n",
              "          (1): T5LayerFF(\n",
              "            (DenseReluDense): T5DenseGatedActDense(\n",
              "              (wi_0): Linear(in_features=2048, out_features=5120, bias=False)\n",
              "              (wi_1): Linear(in_features=2048, out_features=5120, bias=False)\n",
              "              (wo): Linear(in_features=5120, out_features=2048, bias=False)\n",
              "              (dropout): Dropout(p=0.1, inplace=False)\n",
              "              (act): NewGELUActivation()\n",
              "            )\n",
              "            (layer_norm): T5LayerNorm()\n",
              "            (dropout): Dropout(p=0.1, inplace=False)\n",
              "          )\n",
              "        )\n",
              "      )\n",
              "    )\n",
              "    (final_layer_norm): T5LayerNorm()\n",
              "    (dropout): Dropout(p=0.1, inplace=False)\n",
              "  )\n",
              "  (decoder): T5Stack(\n",
              "    (embed_tokens): Embedding(32128, 2048)\n",
              "    (block): ModuleList(\n",
              "      (0): T5Block(\n",
              "        (layer): ModuleList(\n",
              "          (0): T5LayerSelfAttention(\n",
              "            (SelfAttention): T5Attention(\n",
              "              (q): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (k): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (v): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (o): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (relative_attention_bias): Embedding(32, 32)\n",
              "            )\n",
              "            (layer_norm): T5LayerNorm()\n",
              "            (dropout): Dropout(p=0.1, inplace=False)\n",
              "          )\n",
              "          (1): T5LayerCrossAttention(\n",
              "            (EncDecAttention): T5Attention(\n",
              "              (q): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (k): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (v): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (o): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "            )\n",
              "            (layer_norm): T5LayerNorm()\n",
              "            (dropout): Dropout(p=0.1, inplace=False)\n",
              "          )\n",
              "          (2): T5LayerFF(\n",
              "            (DenseReluDense): T5DenseGatedActDense(\n",
              "              (wi_0): Linear(in_features=2048, out_features=5120, bias=False)\n",
              "              (wi_1): Linear(in_features=2048, out_features=5120, bias=False)\n",
              "              (wo): Linear(in_features=5120, out_features=2048, bias=False)\n",
              "              (dropout): Dropout(p=0.1, inplace=False)\n",
              "              (act): NewGELUActivation()\n",
              "            )\n",
              "            (layer_norm): T5LayerNorm()\n",
              "            (dropout): Dropout(p=0.1, inplace=False)\n",
              "          )\n",
              "        )\n",
              "      )\n",
              "      (1-23): 23 x T5Block(\n",
              "        (layer): ModuleList(\n",
              "          (0): T5LayerSelfAttention(\n",
              "            (SelfAttention): T5Attention(\n",
              "              (q): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (k): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (v): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (o): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "            )\n",
              "            (layer_norm): T5LayerNorm()\n",
              "            (dropout): Dropout(p=0.1, inplace=False)\n",
              "          )\n",
              "          (1): T5LayerCrossAttention(\n",
              "            (EncDecAttention): T5Attention(\n",
              "              (q): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (k): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (v): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "              (o): Linear(in_features=2048, out_features=2048, bias=False)\n",
              "            )\n",
              "            (layer_norm): T5LayerNorm()\n",
              "            (dropout): Dropout(p=0.1, inplace=False)\n",
              "          )\n",
              "          (2): T5LayerFF(\n",
              "            (DenseReluDense): T5DenseGatedActDense(\n",
              "              (wi_0): Linear(in_features=2048, out_features=5120, bias=False)\n",
              "              (wi_1): Linear(in_features=2048, out_features=5120, bias=False)\n",
              "              (wo): Linear(in_features=5120, out_features=2048, bias=False)\n",
              "              (dropout): Dropout(p=0.1, inplace=False)\n",
              "              (act): NewGELUActivation()\n",
              "            )\n",
              "            (layer_norm): T5LayerNorm()\n",
              "            (dropout): Dropout(p=0.1, inplace=False)\n",
              "          )\n",
              "        )\n",
              "      )\n",
              "    )\n",
              "    (final_layer_norm): T5LayerNorm()\n",
              "    (dropout): Dropout(p=0.1, inplace=False)\n",
              "  )\n",
              "  (lm_head): Linear(in_features=2048, out_features=32128, bias=False)\n",
              ")"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import Trainer, TrainingArguments\n",
        "\n",
        "# Define training arguments\n",
        "training_args = TrainingArguments(\n",
        "    output_dir=\"./output\",\n",
        "    num_train_epochs=3,\n",
        "    per_device_train_batch_size=8,\n",
        "    # ... other training arguments\n",
        ")\n",
        "\n",
        "# Create a Trainer object\n",
        "trainer = Trainer(\n",
        "    model=model,\n",
        "    args=training_args,\n",
        "    train_dataset=Financial.csv, # Load your training dataset\n",
        ")\n",
        "\n",
        "# Start training\n",
        "trainer.train()"
      ],
      "metadata": {
        "id": "j_Y33_fMfGd9"
      },
      "id": "j_Y33_fMfGd9",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "id": "7ce8ee88e61ac738",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2024-07-01T11:08:50.346303Z",
          "start_time": "2024-07-01T11:08:50.336252Z"
        },
        "id": "7ce8ee88e61ac738"
      },
      "source": [
        "def get_response(prompt, max_new_tokens=50):\n",
        "    inputs = tokenizer(prompt, return_tensors=\"pt\").to(device)\n",
        "    outputs = model.generate(**inputs, max_new_tokens=max_new_tokens, temperature= 0.0001, do_sample=True)\n",
        "    response = tokenizer.decode(outputs[0], skip_special_tokens=True) # Use indexing instead of calling\n",
        "    return response"
      ],
      "outputs": [],
      "execution_count": 15
    },
    {
      "metadata": {
        "jupyter": {
          "is_executing": true
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "de9f0fcc6dc9fa82",
        "outputId": "91cc9e78-4e4e-4f29-99b4-94fdaedccd1b"
      },
      "cell_type": "code",
      "source": [
        "prompt ='What is capital of Madhya Pradesh'\n",
        "get_response(prompt, max_new_tokens=50)"
      ],
      "id": "de9f0fcc6dc9fa82",
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'bhopal'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 34
        }
      ],
      "execution_count": 34
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "s77Nu-3UaeZ9"
      },
      "id": "s77Nu-3UaeZ9",
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "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": "3.12.4"
    },
    "colab": {
      "provenance": [],
      "gpuType": "T4"
    },
    "widgets": {
      "application/vnd.jupyter.widget-state+json": {
        "6ecdc71d497b4ab7bc6dca2ace0bd656": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_2af56a7c045d4bc294c6cb6d362a8120",
              "IPY_MODEL_f5611ea1eab5406eb5796ffed1218a0c",
              "IPY_MODEL_68855bdfbeed46e7b7e3d82a9b4c0988"
            ],
            "layout": "IPY_MODEL_24b9e5603be54e72b2bcf99be716b97d"
          }
        },
        "2af56a7c045d4bc294c6cb6d362a8120": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_64c42ce2cab04fb0aed8e65efebdfd11",
            "placeholder": "​",
            "style": "IPY_MODEL_85fc022f4f1841e480af3f5496f36fe0",
            "value": "Loading checkpoint shards: 100%"
          }
        },
        "f5611ea1eab5406eb5796ffed1218a0c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_2e384f5f20db45579dc708ede8b15c87",
            "max": 2,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_c9409991f35d4966989cf936f88fe99a",
            "value": 2
          }
        },
        "68855bdfbeed46e7b7e3d82a9b4c0988": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_0f4ba7cacc6d49599f3178b738092e09",
            "placeholder": "​",
            "style": "IPY_MODEL_ddf9f8decaf948bbb67b8f71610c31b1",
            "value": " 2/2 [00:52&lt;00:00, 23.08s/it]"
          }
        },
        "24b9e5603be54e72b2bcf99be716b97d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "64c42ce2cab04fb0aed8e65efebdfd11": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "85fc022f4f1841e480af3f5496f36fe0": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "2e384f5f20db45579dc708ede8b15c87": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "c9409991f35d4966989cf936f88fe99a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "0f4ba7cacc6d49599f3178b738092e09": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "ddf9f8decaf948bbb67b8f71610c31b1": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "46756e51804c48ebbabee753ea455457": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_f98f7a5726d6434d9087fe521e136795",
              "IPY_MODEL_cc3c582d99d24da1b7bf1f8168961749",
              "IPY_MODEL_81b3bc430cc7409f9f51cd222fb0ca0e"
            ],
            "layout": "IPY_MODEL_f66bc695f26e4603ac38f23168e65763"
          }
        },
        "f98f7a5726d6434d9087fe521e136795": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_d4a74b31d8064a5bba43849ed4b6658b",
            "placeholder": "​",
            "style": "IPY_MODEL_72731803b79343b0b6a61d722009b6b6",
            "value": "generation_config.json: 100%"
          }
        },
        "cc3c582d99d24da1b7bf1f8168961749": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_0ff317589550455f8eef5021912dd27c",
            "max": 147,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_7e110f5c777442c4aab4ea06a27a3dc1",
            "value": 147
          }
        },
        "81b3bc430cc7409f9f51cd222fb0ca0e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_ae1843d43b0f4199ba61e8c9e962f2b3",
            "placeholder": "​",
            "style": "IPY_MODEL_d72cd66e520a4eea83c06d7df23ccc0e",
            "value": " 147/147 [00:00&lt;00:00, 7.99kB/s]"
          }
        },
        "f66bc695f26e4603ac38f23168e65763": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "d4a74b31d8064a5bba43849ed4b6658b": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "72731803b79343b0b6a61d722009b6b6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "0ff317589550455f8eef5021912dd27c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "7e110f5c777442c4aab4ea06a27a3dc1": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "ae1843d43b0f4199ba61e8c9e962f2b3": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "d72cd66e520a4eea83c06d7df23ccc0e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        }
      }
    },
    "accelerator": "GPU"
  },
  "nbformat": 4,
  "nbformat_minor": 5
}