[133ee8]: / ATML_final_output.ipynb

Download this file

16692 lines (16692 with data), 4.0 MB

{
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "name": "python",
      "version": "3.10.12",
      "mimetype": "text/x-python",
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "pygments_lexer": "ipython3",
      "nbconvert_exporter": "python",
      "file_extension": ".py"
    },
    "accelerator": "GPU",
    "colab": {
      "collapsed_sections": [
        "XKL46PcIc21t",
        "PJljpW-Jc37a",
        "f4wIndWS2lyy",
        "-BMh1vbuc5qp",
        "a_6XDhvKc37b",
        "vR87HRbfce2i",
        "4MovmBY3c3Rm",
        "5kca4Wt6dGMb",
        "uJGGWVExc37f",
        "3QSzEjW2MZrc"
      ],
      "gpuType": "T4",
      "provenance": []
    },
    "kaggle": {
      "accelerator": "nvidiaTeslaT4",
      "dataSources": [
        {
          "sourceId": 10462187,
          "sourceType": "datasetVersion",
          "datasetId": 6477247
        },
        {
          "sourceId": 228876,
          "sourceType": "modelInstanceVersion",
          "modelInstanceId": 195164,
          "modelId": 217063
        }
      ],
      "dockerImageVersionId": 30823,
      "isInternetEnabled": true,
      "language": "python",
      "sourceType": "notebook",
      "isGpuEnabled": true
    },
    "widgets": {
      "application/vnd.jupyter.widget-state+json": {
        "517718876faf436299d88706bb4424b1": {
          "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_40b566b8c6a142199b1aae2043747f29",
              "IPY_MODEL_47f32ff45f3a412d8cc59473d014e8bb",
              "IPY_MODEL_60d2a9bc5d8345128e8b58b57fc500b6"
            ],
            "layout": "IPY_MODEL_7629a043c26f4bee8afaaffa844f3388"
          }
        },
        "40b566b8c6a142199b1aae2043747f29": {
          "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_e8225c1c8140457193165a789127ae2e",
            "placeholder": "​",
            "style": "IPY_MODEL_7bdf7146beb64eb8b5165cedc8778c1c",
            "value": "config.json: 100%"
          }
        },
        "47f32ff45f3a412d8cc59473d014e8bb": {
          "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_4a8ba088b63440ed9c90cfd991dc5b03",
            "max": 1272,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_5deee521852841848ce43198dfd4dbce",
            "value": 1272
          }
        },
        "60d2a9bc5d8345128e8b58b57fc500b6": {
          "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_f425dc2cb2a2422992cc5c0e57f56284",
            "placeholder": "​",
            "style": "IPY_MODEL_a5ddf2cc551f4767a4ab9d233159a814",
            "value": " 1.27k/1.27k [00:00<00:00, 26.9kB/s]"
          }
        },
        "7629a043c26f4bee8afaaffa844f3388": {
          "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
          }
        },
        "e8225c1c8140457193165a789127ae2e": {
          "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
          }
        },
        "7bdf7146beb64eb8b5165cedc8778c1c": {
          "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": ""
          }
        },
        "4a8ba088b63440ed9c90cfd991dc5b03": {
          "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
          }
        },
        "5deee521852841848ce43198dfd4dbce": {
          "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": ""
          }
        },
        "f425dc2cb2a2422992cc5c0e57f56284": {
          "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
          }
        },
        "a5ddf2cc551f4767a4ab9d233159a814": {
          "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": ""
          }
        },
        "e859e824c34b481b9d9759c537fd330e": {
          "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_e395016789054e92914cb5f00213c375",
              "IPY_MODEL_6902fb6c5def47e3bd966f6abf749a4d",
              "IPY_MODEL_66189912ae944d6d954e888268d662dd"
            ],
            "layout": "IPY_MODEL_7167b486cbd048a7929b49f8cdefe195"
          }
        },
        "e395016789054e92914cb5f00213c375": {
          "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_aae2779e99e74fc0a2b6b31bbe69c7dc",
            "placeholder": "​",
            "style": "IPY_MODEL_a7b6dd3a188146248093ee5c502d68e7",
            "value": "model.safetensors: 100%"
          }
        },
        "6902fb6c5def47e3bd966f6abf749a4d": {
          "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_1f44383baaee4038b1076b82e4ae5cf1",
            "max": 3087130976,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_2c986025fb8b4a36bd276659774511af",
            "value": 3087130976
          }
        },
        "66189912ae944d6d954e888268d662dd": {
          "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_3a55b32860be46afb1c4a9433b7a7c19",
            "placeholder": "​",
            "style": "IPY_MODEL_332c339019a64ecd8e83bc7cf6ed0cf4",
            "value": " 3.09G/3.09G [01:12<00:00, 59.7MB/s]"
          }
        },
        "7167b486cbd048a7929b49f8cdefe195": {
          "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
          }
        },
        "aae2779e99e74fc0a2b6b31bbe69c7dc": {
          "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
          }
        },
        "a7b6dd3a188146248093ee5c502d68e7": {
          "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": ""
          }
        },
        "1f44383baaee4038b1076b82e4ae5cf1": {
          "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
          }
        },
        "2c986025fb8b4a36bd276659774511af": {
          "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": ""
          }
        },
        "3a55b32860be46afb1c4a9433b7a7c19": {
          "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
          }
        },
        "332c339019a64ecd8e83bc7cf6ed0cf4": {
          "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": ""
          }
        },
        "3b09c15f87844718bcb6639eb0121695": {
          "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_0945a769b584495c88fa467de8d281e6",
              "IPY_MODEL_412049595e8b468e960ece40b0759d4a",
              "IPY_MODEL_8e41aba862a54489b14630f97d2d502a"
            ],
            "layout": "IPY_MODEL_3699f0ce0d68481383be8e3603bd3d52"
          }
        },
        "0945a769b584495c88fa467de8d281e6": {
          "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_7dd76df86c84406ba0159a09e0de636d",
            "placeholder": "​",
            "style": "IPY_MODEL_276636d40a1d4331aba840b7ce70635b",
            "value": "generation_config.json: 100%"
          }
        },
        "412049595e8b468e960ece40b0759d4a": {
          "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_4d591f2896c84a0ab342e73237e5907d",
            "max": 3903,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_575ab2e21274449bb3ca576896a4bf7d",
            "value": 3903
          }
        },
        "8e41aba862a54489b14630f97d2d502a": {
          "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_123c83f099d34112991b217157457de1",
            "placeholder": "​",
            "style": "IPY_MODEL_efc7b459f94d4c88938ce6ad66f99fca",
            "value": " 3.90k/3.90k [00:00<00:00, 249kB/s]"
          }
        },
        "3699f0ce0d68481383be8e3603bd3d52": {
          "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
          }
        },
        "7dd76df86c84406ba0159a09e0de636d": {
          "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
          }
        },
        "276636d40a1d4331aba840b7ce70635b": {
          "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": ""
          }
        },
        "4d591f2896c84a0ab342e73237e5907d": {
          "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
          }
        },
        "575ab2e21274449bb3ca576896a4bf7d": {
          "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": ""
          }
        },
        "123c83f099d34112991b217157457de1": {
          "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
          }
        },
        "efc7b459f94d4c88938ce6ad66f99fca": {
          "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": ""
          }
        },
        "f4a4dc5dadaf4f21ab68996843628f89": {
          "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_a17d02d208744b4a8822132935fd4cac",
              "IPY_MODEL_9a83c84d5842474482826314d5b106e2",
              "IPY_MODEL_45bf2939f13a41548ef218f050ce8a12"
            ],
            "layout": "IPY_MODEL_72c73d39dfb04864800540cb93ac3a7b"
          }
        },
        "a17d02d208744b4a8822132935fd4cac": {
          "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_be991c6a6134499e88d45ecb91fb450b",
            "placeholder": "​",
            "style": "IPY_MODEL_277a16094680443891aefc1489a82533",
            "value": "preprocessor_config.json: 100%"
          }
        },
        "9a83c84d5842474482826314d5b106e2": {
          "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_de480f96f3b249d78d94f1c7a4c10b4d",
            "max": 340,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_084e3f8db3dc4a37ae26f77fc920e70d",
            "value": 340
          }
        },
        "45bf2939f13a41548ef218f050ce8a12": {
          "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_50d1c0cb8e0b45fe9a2a786a91646c54",
            "placeholder": "​",
            "style": "IPY_MODEL_cc3883bbf1514c20b3808ab5f2430ca9",
            "value": " 340/340 [00:00<00:00, 11.2kB/s]"
          }
        },
        "72c73d39dfb04864800540cb93ac3a7b": {
          "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
          }
        },
        "be991c6a6134499e88d45ecb91fb450b": {
          "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
          }
        },
        "277a16094680443891aefc1489a82533": {
          "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": ""
          }
        },
        "de480f96f3b249d78d94f1c7a4c10b4d": {
          "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
          }
        },
        "084e3f8db3dc4a37ae26f77fc920e70d": {
          "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": ""
          }
        },
        "50d1c0cb8e0b45fe9a2a786a91646c54": {
          "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
          }
        },
        "cc3883bbf1514c20b3808ab5f2430ca9": {
          "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": ""
          }
        },
        "e8cbee27593e48c3ba22cf89431c1de5": {
          "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_fa092ae6df5a4978b35fa41d0273d6fb",
              "IPY_MODEL_3e76eca36028447f980836fead3c8195",
              "IPY_MODEL_62c63c4e6a594a319f2ad39c4fabf9cd"
            ],
            "layout": "IPY_MODEL_c33cc0d8be8944538357452ad0304b98"
          }
        },
        "fa092ae6df5a4978b35fa41d0273d6fb": {
          "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_39e252ff8729400890455b1c8d2cdf81",
            "placeholder": "​",
            "style": "IPY_MODEL_88377e7af3644025993525d86b2610a4",
            "value": "tokenizer_config.json: 100%"
          }
        },
        "3e76eca36028447f980836fead3c8195": {
          "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_d0838109548b447fb8b2931e15268618",
            "max": 282843,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_c07236afec77418480a799c098e9211f",
            "value": 282843
          }
        },
        "62c63c4e6a594a319f2ad39c4fabf9cd": {
          "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_55a190be4daf454c9ecf263d26bdbf72",
            "placeholder": "​",
            "style": "IPY_MODEL_31a63e6bd121425f866b5a05e1fb1531",
            "value": " 283k/283k [00:00<00:00, 2.14MB/s]"
          }
        },
        "c33cc0d8be8944538357452ad0304b98": {
          "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
          }
        },
        "39e252ff8729400890455b1c8d2cdf81": {
          "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
          }
        },
        "88377e7af3644025993525d86b2610a4": {
          "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": ""
          }
        },
        "d0838109548b447fb8b2931e15268618": {
          "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
          }
        },
        "c07236afec77418480a799c098e9211f": {
          "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": ""
          }
        },
        "55a190be4daf454c9ecf263d26bdbf72": {
          "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
          }
        },
        "31a63e6bd121425f866b5a05e1fb1531": {
          "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": ""
          }
        },
        "45b0023fdc394d629d83b22f2e4e7b09": {
          "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_430a8f2254f2435999474396be8ec173",
              "IPY_MODEL_66cedc94685348de933719a0b99e2945",
              "IPY_MODEL_0922293405e240ccbc0e1db6cc473e3b"
            ],
            "layout": "IPY_MODEL_e862ada2439e41b38d88ec61068d2b68"
          }
        },
        "430a8f2254f2435999474396be8ec173": {
          "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_d84acbce87ef40079e4acb3a363d0c97",
            "placeholder": "​",
            "style": "IPY_MODEL_6404f56020bd4fecb5a92c16fd92f4af",
            "value": "vocab.json: 100%"
          }
        },
        "66cedc94685348de933719a0b99e2945": {
          "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_7a0d1128ef6a4321bb790e883076ae77",
            "max": 1036558,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_febbe9729b654c54aff451385a83b184",
            "value": 1036558
          }
        },
        "0922293405e240ccbc0e1db6cc473e3b": {
          "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_f3f1db0de9374b8dae5893d33ba3a8a8",
            "placeholder": "​",
            "style": "IPY_MODEL_24f50d2ba3e546449c8cb15c6bc3576d",
            "value": " 1.04M/1.04M [00:00<00:00, 7.66MB/s]"
          }
        },
        "e862ada2439e41b38d88ec61068d2b68": {
          "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
          }
        },
        "d84acbce87ef40079e4acb3a363d0c97": {
          "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
          }
        },
        "6404f56020bd4fecb5a92c16fd92f4af": {
          "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": ""
          }
        },
        "7a0d1128ef6a4321bb790e883076ae77": {
          "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
          }
        },
        "febbe9729b654c54aff451385a83b184": {
          "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": ""
          }
        },
        "f3f1db0de9374b8dae5893d33ba3a8a8": {
          "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
          }
        },
        "24f50d2ba3e546449c8cb15c6bc3576d": {
          "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": ""
          }
        },
        "cd71f16db1284ecb945a9cacea72d574": {
          "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_1716a28d2cfd4f62baa4aa3e7e52abe5",
              "IPY_MODEL_dafebe22cfba41f28d01bbfe9e669241",
              "IPY_MODEL_4eb105096f584e8d8932553df1450850"
            ],
            "layout": "IPY_MODEL_0a4e54b75a1b4b0fa7567903ec175c3e"
          }
        },
        "1716a28d2cfd4f62baa4aa3e7e52abe5": {
          "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_cc768b5dbe8a453aa954e2851c18631e",
            "placeholder": "​",
            "style": "IPY_MODEL_19f024bd232a4fcda26e2d94525b9424",
            "value": "tokenizer.json: 100%"
          }
        },
        "dafebe22cfba41f28d01bbfe9e669241": {
          "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_8691a03e0d4a48b2a83e38c94550aed5",
            "max": 2480617,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_2802ae9f92b04880ac3cc05dae71fc86",
            "value": 2480617
          }
        },
        "4eb105096f584e8d8932553df1450850": {
          "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_11240260f2eb419dad7b0dca097e6ccc",
            "placeholder": "​",
            "style": "IPY_MODEL_1e53dcab8cc1478ab04aafe97b5f3dfd",
            "value": " 2.48M/2.48M [00:00<00:00, 7.63MB/s]"
          }
        },
        "0a4e54b75a1b4b0fa7567903ec175c3e": {
          "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
          }
        },
        "cc768b5dbe8a453aa954e2851c18631e": {
          "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
          }
        },
        "19f024bd232a4fcda26e2d94525b9424": {
          "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": ""
          }
        },
        "8691a03e0d4a48b2a83e38c94550aed5": {
          "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
          }
        },
        "2802ae9f92b04880ac3cc05dae71fc86": {
          "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": ""
          }
        },
        "11240260f2eb419dad7b0dca097e6ccc": {
          "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
          }
        },
        "1e53dcab8cc1478ab04aafe97b5f3dfd": {
          "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": ""
          }
        },
        "d394ae433c4248239e10b99323c73d19": {
          "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_e55074edc75b4db3b5277e37bcdba061",
              "IPY_MODEL_909f63b4c3b64acfb45ef1b21748d44d",
              "IPY_MODEL_6bd27cc0c6784a069ce2a9a7f233cffe"
            ],
            "layout": "IPY_MODEL_818f2ae8ee874a05881d6dfd4f64dbbb"
          }
        },
        "e55074edc75b4db3b5277e37bcdba061": {
          "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_d2f6f8d25ab940eaad598b4555a3f24a",
            "placeholder": "​",
            "style": "IPY_MODEL_6fdc7633b6d8441192e9919cfb68dd3a",
            "value": "merges.txt: 100%"
          }
        },
        "909f63b4c3b64acfb45ef1b21748d44d": {
          "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_dacfe809585d4edfab8c9a8c121fddea",
            "max": 493869,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_f73413ed61d54496a227a6e8ad6e578f",
            "value": 493869
          }
        },
        "6bd27cc0c6784a069ce2a9a7f233cffe": {
          "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_e37b8ac5b0fe4407adde647b02583d91",
            "placeholder": "​",
            "style": "IPY_MODEL_67990c3aa8cb4219b72bc4446e99f7c2",
            "value": " 494k/494k [00:00<00:00, 3.80MB/s]"
          }
        },
        "818f2ae8ee874a05881d6dfd4f64dbbb": {
          "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
          }
        },
        "d2f6f8d25ab940eaad598b4555a3f24a": {
          "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
          }
        },
        "6fdc7633b6d8441192e9919cfb68dd3a": {
          "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": ""
          }
        },
        "dacfe809585d4edfab8c9a8c121fddea": {
          "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
          }
        },
        "f73413ed61d54496a227a6e8ad6e578f": {
          "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": ""
          }
        },
        "e37b8ac5b0fe4407adde647b02583d91": {
          "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
          }
        },
        "67990c3aa8cb4219b72bc4446e99f7c2": {
          "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": ""
          }
        },
        "c38f7a3172c649898b48de3f6fe5bf83": {
          "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_faf8e85a8b074213ad1a7265783e8f84",
              "IPY_MODEL_68d555acf03d43d19822236a71c00094",
              "IPY_MODEL_450ca4e4cbb0476292a6ac8bffe5de85"
            ],
            "layout": "IPY_MODEL_ac54aeb0dce249fc979beaf7e5cd3336"
          }
        },
        "faf8e85a8b074213ad1a7265783e8f84": {
          "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_1246ac25f59d4bf6aa0b20a343310a12",
            "placeholder": "​",
            "style": "IPY_MODEL_8c639dbbc7634ad39bdfd14a22478bcb",
            "value": "normalizer.json: 100%"
          }
        },
        "68d555acf03d43d19822236a71c00094": {
          "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_da7d82ef210b49f8a7d2dcea7b3d6031",
            "max": 52666,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_618b99baa284453eaa1bf23a99a6c438",
            "value": 52666
          }
        },
        "450ca4e4cbb0476292a6ac8bffe5de85": {
          "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_6431d188ed2e4b12a9d7dd8cf50514ed",
            "placeholder": "​",
            "style": "IPY_MODEL_37f8e9d844374f878ff724bcfc7a596e",
            "value": " 52.7k/52.7k [00:00<00:00, 1.97MB/s]"
          }
        },
        "ac54aeb0dce249fc979beaf7e5cd3336": {
          "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
          }
        },
        "1246ac25f59d4bf6aa0b20a343310a12": {
          "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
          }
        },
        "8c639dbbc7634ad39bdfd14a22478bcb": {
          "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": ""
          }
        },
        "da7d82ef210b49f8a7d2dcea7b3d6031": {
          "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
          }
        },
        "618b99baa284453eaa1bf23a99a6c438": {
          "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": ""
          }
        },
        "6431d188ed2e4b12a9d7dd8cf50514ed": {
          "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
          }
        },
        "37f8e9d844374f878ff724bcfc7a596e": {
          "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": ""
          }
        },
        "d959c06863514615ab5e9492da60f358": {
          "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_c9a9f8f2b9c548429a3e9efeaa4e375f",
              "IPY_MODEL_6260382257154b5693e41412f5882f2a",
              "IPY_MODEL_547e3b6960af44efb06e14090c818ef0"
            ],
            "layout": "IPY_MODEL_95a9372e975c4450aeaf3ee0800505bb"
          }
        },
        "c9a9f8f2b9c548429a3e9efeaa4e375f": {
          "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_9e83d12a8cac46f8b0a0e4c38564f3e5",
            "placeholder": "​",
            "style": "IPY_MODEL_4aef2f4b28ec44f0bfabc6a37752546c",
            "value": "added_tokens.json: 100%"
          }
        },
        "6260382257154b5693e41412f5882f2a": {
          "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_960331f9dbcf4bc38348c4ce05c26afb",
            "max": 34648,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_2807c2ecd90f4bfea96a9a2808a534a7",
            "value": 34648
          }
        },
        "547e3b6960af44efb06e14090c818ef0": {
          "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_76f901b6a7d6452fb4bda453ff568ca6",
            "placeholder": "​",
            "style": "IPY_MODEL_9a11e8a69ccf4635851364ac1d4ed1b7",
            "value": " 34.6k/34.6k [00:00<00:00, 784kB/s]"
          }
        },
        "95a9372e975c4450aeaf3ee0800505bb": {
          "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
          }
        },
        "9e83d12a8cac46f8b0a0e4c38564f3e5": {
          "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
          }
        },
        "4aef2f4b28ec44f0bfabc6a37752546c": {
          "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": ""
          }
        },
        "960331f9dbcf4bc38348c4ce05c26afb": {
          "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
          }
        },
        "2807c2ecd90f4bfea96a9a2808a534a7": {
          "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": ""
          }
        },
        "76f901b6a7d6452fb4bda453ff568ca6": {
          "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
          }
        },
        "9a11e8a69ccf4635851364ac1d4ed1b7": {
          "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": ""
          }
        },
        "8eb925e82bca43949d4bc17e20006c8a": {
          "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_7dbbf51e2fcb49cea2fd050483ceac25",
              "IPY_MODEL_b3a54585f6a64d9987aa70b44cb32ef4",
              "IPY_MODEL_e5160a936ea44310952f9926e078e524"
            ],
            "layout": "IPY_MODEL_3371274fc60e4a018dc7b5e29fe754a1"
          }
        },
        "7dbbf51e2fcb49cea2fd050483ceac25": {
          "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_6d4a55cba17d4cb8999465d959c66738",
            "placeholder": "​",
            "style": "IPY_MODEL_9f49e905cdf246baa2e2df0e4142f9e6",
            "value": "special_tokens_map.json: 100%"
          }
        },
        "b3a54585f6a64d9987aa70b44cb32ef4": {
          "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_efb1d01c55cc4c2eaf2945fb61949cfb",
            "max": 2072,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_9e6f7889d66f4555bef5c28a01f190c8",
            "value": 2072
          }
        },
        "e5160a936ea44310952f9926e078e524": {
          "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_8f5a6735d453474a9fd0eacdccfb854a",
            "placeholder": "​",
            "style": "IPY_MODEL_f3734ec5fbb94fa3bc3e9e07210357e3",
            "value": " 2.07k/2.07k [00:00<00:00, 130kB/s]"
          }
        },
        "3371274fc60e4a018dc7b5e29fe754a1": {
          "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
          }
        },
        "6d4a55cba17d4cb8999465d959c66738": {
          "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
          }
        },
        "9f49e905cdf246baa2e2df0e4142f9e6": {
          "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": ""
          }
        },
        "efb1d01c55cc4c2eaf2945fb61949cfb": {
          "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
          }
        },
        "9e6f7889d66f4555bef5c28a01f190c8": {
          "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": ""
          }
        },
        "8f5a6735d453474a9fd0eacdccfb854a": {
          "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
          }
        },
        "f3734ec5fbb94fa3bc3e9e07210357e3": {
          "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": ""
          }
        },
        "c28c3a721f8d4ff49266027637d40488": {
          "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_2a1e2f445d3f43c1bfaa1998d8848c38",
              "IPY_MODEL_95b7e4bbfba5450aa3c4de300c2bbfc6",
              "IPY_MODEL_f945ddb4d493442babc868ceb1ba86d9"
            ],
            "layout": "IPY_MODEL_ca568573a2754ba596510609cc952ed3"
          }
        },
        "2a1e2f445d3f43c1bfaa1998d8848c38": {
          "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_26a40f9ed30e4d27a812e92ced5ef1fa",
            "placeholder": "​",
            "style": "IPY_MODEL_6ffb98152eae4d24a6cba4fc8e59e04f",
            "value": "config.json: 100%"
          }
        },
        "95b7e4bbfba5450aa3c4de300c2bbfc6": {
          "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_961d73c6128d4720add91baf7570dbb0",
            "max": 877,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_b9e0d2b0eaf54f8e8430d5e21eb98283",
            "value": 877
          }
        },
        "f945ddb4d493442babc868ceb1ba86d9": {
          "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_3235477be81a4c069237d859eaae57a4",
            "placeholder": "​",
            "style": "IPY_MODEL_2e41b11bfde148c5904302579c706a61",
            "value": " 877/877 [00:00<00:00, 50.1kB/s]"
          }
        },
        "ca568573a2754ba596510609cc952ed3": {
          "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
          }
        },
        "26a40f9ed30e4d27a812e92ced5ef1fa": {
          "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
          }
        },
        "6ffb98152eae4d24a6cba4fc8e59e04f": {
          "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": ""
          }
        },
        "961d73c6128d4720add91baf7570dbb0": {
          "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
          }
        },
        "b9e0d2b0eaf54f8e8430d5e21eb98283": {
          "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": ""
          }
        },
        "3235477be81a4c069237d859eaae57a4": {
          "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
          }
        },
        "2e41b11bfde148c5904302579c706a61": {
          "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": ""
          }
        },
        "de449ab187174923aab2de4c429686be": {
          "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_b95599d8e86a4fd5aa019dfa2f919b0a",
              "IPY_MODEL_ed4a1186e2a64cfa87758787bfb9f05d",
              "IPY_MODEL_1547abbd76ed4de6adb916fcd2934e1e"
            ],
            "layout": "IPY_MODEL_4f41f3f382d64787a86118834ddaae2d"
          }
        },
        "b95599d8e86a4fd5aa019dfa2f919b0a": {
          "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_30140fe3320947b5b8bbc44cc4828148",
            "placeholder": "​",
            "style": "IPY_MODEL_4b4542c38caf4a4f81cc90cfead703dc",
            "value": "model.safetensors: 100%"
          }
        },
        "ed4a1186e2a64cfa87758787bfb9f05d": {
          "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_6dc23dfa294e404ba4d04a1062ccf837",
            "max": 2471645608,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_977515d736b6407680a3948c15e38635",
            "value": 2471645608
          }
        },
        "1547abbd76ed4de6adb916fcd2934e1e": {
          "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_03a05380adca42bab8faf5b44373f3a6",
            "placeholder": "​",
            "style": "IPY_MODEL_24c27ba2b8b9426d9c83af698fd18da4",
            "value": " 2.47G/2.47G [00:58<00:00, 42.3MB/s]"
          }
        },
        "4f41f3f382d64787a86118834ddaae2d": {
          "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
          }
        },
        "30140fe3320947b5b8bbc44cc4828148": {
          "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
          }
        },
        "4b4542c38caf4a4f81cc90cfead703dc": {
          "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": ""
          }
        },
        "6dc23dfa294e404ba4d04a1062ccf837": {
          "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
          }
        },
        "977515d736b6407680a3948c15e38635": {
          "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": ""
          }
        },
        "03a05380adca42bab8faf5b44373f3a6": {
          "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
          }
        },
        "24c27ba2b8b9426d9c83af698fd18da4": {
          "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": ""
          }
        },
        "d2426c24f8b14fe399b7aee32204ce68": {
          "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_46d3441493db4bbc831301633c23fc6d",
              "IPY_MODEL_48de9343a38d449183e373297b36fc11",
              "IPY_MODEL_ca20ccf034b24b2bb7835f76b5bb09ae"
            ],
            "layout": "IPY_MODEL_e4242bdc219e492f8af0d920e5b00dd7"
          }
        },
        "46d3441493db4bbc831301633c23fc6d": {
          "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_c33307375cc142368e4cca11ee4b1c9d",
            "placeholder": "​",
            "style": "IPY_MODEL_40bb5995653d480bbb39dfb12ad0f437",
            "value": "generation_config.json: 100%"
          }
        },
        "48de9343a38d449183e373297b36fc11": {
          "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_c71534c89d484045aa586ffb9e88ad6c",
            "max": 189,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_0f622742dcda487bbd5c534ac3fd325c",
            "value": 189
          }
        },
        "ca20ccf034b24b2bb7835f76b5bb09ae": {
          "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_86f3e65651f74e80944f2c6105e813ba",
            "placeholder": "​",
            "style": "IPY_MODEL_d6f10006bdc041b79cc6f19c605583d2",
            "value": " 189/189 [00:00<00:00, 13.3kB/s]"
          }
        },
        "e4242bdc219e492f8af0d920e5b00dd7": {
          "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
          }
        },
        "c33307375cc142368e4cca11ee4b1c9d": {
          "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
          }
        },
        "40bb5995653d480bbb39dfb12ad0f437": {
          "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": ""
          }
        },
        "c71534c89d484045aa586ffb9e88ad6c": {
          "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
          }
        },
        "0f622742dcda487bbd5c534ac3fd325c": {
          "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": ""
          }
        },
        "86f3e65651f74e80944f2c6105e813ba": {
          "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
          }
        },
        "d6f10006bdc041b79cc6f19c605583d2": {
          "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": ""
          }
        },
        "c0c9907e1f274d2e8b9d989155813903": {
          "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_d4393168a2f14141a968e803f3d6fbf0",
              "IPY_MODEL_6de95a65edac43f8bb85635d091b6bc6",
              "IPY_MODEL_c477558b50534e0e91d20d0c56fa6b00"
            ],
            "layout": "IPY_MODEL_78dce176eb284683a35bbce2fced493f"
          }
        },
        "d4393168a2f14141a968e803f3d6fbf0": {
          "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_b7810c42e9ea492cb4b800bbccd61e32",
            "placeholder": "​",
            "style": "IPY_MODEL_28284dc6ebb14126bc9fbe43f29c464e",
            "value": "model.safetensors: 100%"
          }
        },
        "6de95a65edac43f8bb85635d091b6bc6": {
          "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_39866106c49d445b9b90697b43d19490",
            "max": 2242762780,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_61d095911582499bbbb1161ebfe4d162",
            "value": 2242762780
          }
        },
        "c477558b50534e0e91d20d0c56fa6b00": {
          "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_6b648b5b1fc1418e8969a2f1d6417887",
            "placeholder": "​",
            "style": "IPY_MODEL_8e1f68fa448242c2a2379e78fbcd2eea",
            "value": " 2.24G/2.24G [00:52<00:00, 41.4MB/s]"
          }
        },
        "78dce176eb284683a35bbce2fced493f": {
          "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
          }
        },
        "b7810c42e9ea492cb4b800bbccd61e32": {
          "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
          }
        },
        "28284dc6ebb14126bc9fbe43f29c464e": {
          "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": ""
          }
        },
        "39866106c49d445b9b90697b43d19490": {
          "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
          }
        },
        "61d095911582499bbbb1161ebfe4d162": {
          "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": ""
          }
        },
        "6b648b5b1fc1418e8969a2f1d6417887": {
          "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
          }
        },
        "8e1f68fa448242c2a2379e78fbcd2eea": {
          "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": ""
          }
        },
        "54791587aea64f3b862767f707364629": {
          "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_a4a4ca55801849d89ec8c486b3b56eed",
              "IPY_MODEL_620be67b7eda4c7599164aeda532e35f",
              "IPY_MODEL_51b3d72bd7fb4873b2e660c80a49b875"
            ],
            "layout": "IPY_MODEL_45f644e3ec5d4fb09af248c2d17a3dfc"
          }
        },
        "a4a4ca55801849d89ec8c486b3b56eed": {
          "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_eba2792b649e4810b84bad30b20aee4b",
            "placeholder": "​",
            "style": "IPY_MODEL_92d668de68ef47709fbe081c013372e1",
            "value": "generation_config.json: 100%"
          }
        },
        "620be67b7eda4c7599164aeda532e35f": {
          "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_f1552db3f15d4ed9aeeaf6feff4c4366",
            "max": 184,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_f9c103902baf4dc8ae1690213b8eaa16",
            "value": 184
          }
        },
        "51b3d72bd7fb4873b2e660c80a49b875": {
          "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_a6df8de43cf64ee0bac9caecfef0c30b",
            "placeholder": "​",
            "style": "IPY_MODEL_e2d6b502c89a467eb6c22e021e5ba815",
            "value": " 184/184 [00:00<00:00, 12.0kB/s]"
          }
        },
        "45f644e3ec5d4fb09af248c2d17a3dfc": {
          "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
          }
        },
        "eba2792b649e4810b84bad30b20aee4b": {
          "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
          }
        },
        "92d668de68ef47709fbe081c013372e1": {
          "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": ""
          }
        },
        "f1552db3f15d4ed9aeeaf6feff4c4366": {
          "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
          }
        },
        "f9c103902baf4dc8ae1690213b8eaa16": {
          "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": ""
          }
        },
        "a6df8de43cf64ee0bac9caecfef0c30b": {
          "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
          }
        },
        "e2d6b502c89a467eb6c22e021e5ba815": {
          "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": ""
          }
        },
        "8a0a0da80cd7422390668a3e6cf337d9": {
          "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_e87db1270f964c5a9391e72b7b7988f8",
              "IPY_MODEL_56e6fc84c64b4a6383e45ae7122c8719",
              "IPY_MODEL_da49111870c649618a89356f00ad6822"
            ],
            "layout": "IPY_MODEL_eebf6b76ccf34cfd8d27b9508d7e8444"
          }
        },
        "e87db1270f964c5a9391e72b7b7988f8": {
          "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_91e8a9aeeb3e4220a295334cb2a80074",
            "placeholder": "​",
            "style": "IPY_MODEL_07ac99861383432988147dcdd965295e",
            "value": "tokenizer_config.json: 100%"
          }
        },
        "56e6fc84c64b4a6383e45ae7122c8719": {
          "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_90e538c77e9b48fd8afd38032340b1ee",
            "max": 54598,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_1c1f240809c54408acbb9eb0687ceb4e",
            "value": 54598
          }
        },
        "da49111870c649618a89356f00ad6822": {
          "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_0be26d8f28034480a0d748492dee9445",
            "placeholder": "​",
            "style": "IPY_MODEL_0b90a2e55b124989b9ecc04941168a5a",
            "value": " 54.6k/54.6k [00:00<00:00, 4.00MB/s]"
          }
        },
        "eebf6b76ccf34cfd8d27b9508d7e8444": {
          "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
          }
        },
        "91e8a9aeeb3e4220a295334cb2a80074": {
          "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
          }
        },
        "07ac99861383432988147dcdd965295e": {
          "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": ""
          }
        },
        "90e538c77e9b48fd8afd38032340b1ee": {
          "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
          }
        },
        "1c1f240809c54408acbb9eb0687ceb4e": {
          "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": ""
          }
        },
        "0be26d8f28034480a0d748492dee9445": {
          "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
          }
        },
        "0b90a2e55b124989b9ecc04941168a5a": {
          "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": ""
          }
        },
        "08bedba70fc04bdb86e71630aed5165e": {
          "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_a718555008204633aa775ba4491f0fdb",
              "IPY_MODEL_8841f6adb2f3400eac735d2a8bab1255",
              "IPY_MODEL_b258e91e40224375b571bc8dbb3d868d"
            ],
            "layout": "IPY_MODEL_737bc03300004deaa4198fc979cc9325"
          }
        },
        "a718555008204633aa775ba4491f0fdb": {
          "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_691c42e40bf34f4fb6c22fed4cedda9e",
            "placeholder": "​",
            "style": "IPY_MODEL_4e00ccbcf1694e228eb693814efc69ec",
            "value": "tokenizer.json: 100%"
          }
        },
        "8841f6adb2f3400eac735d2a8bab1255": {
          "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_116c70ca0dbd47b2a865579e3c377696",
            "max": 9085657,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_c9041640567e4a0096e559da5390a85d",
            "value": 9085657
          }
        },
        "b258e91e40224375b571bc8dbb3d868d": {
          "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_dd2df318232c4b07a9b1b165cc052e3c",
            "placeholder": "​",
            "style": "IPY_MODEL_ed554bff361f4f61a5fc181f50981145",
            "value": " 9.09M/9.09M [00:00<00:00, 42.2MB/s]"
          }
        },
        "737bc03300004deaa4198fc979cc9325": {
          "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
          }
        },
        "691c42e40bf34f4fb6c22fed4cedda9e": {
          "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
          }
        },
        "4e00ccbcf1694e228eb693814efc69ec": {
          "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": ""
          }
        },
        "116c70ca0dbd47b2a865579e3c377696": {
          "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
          }
        },
        "c9041640567e4a0096e559da5390a85d": {
          "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": ""
          }
        },
        "dd2df318232c4b07a9b1b165cc052e3c": {
          "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
          }
        },
        "ed554bff361f4f61a5fc181f50981145": {
          "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": ""
          }
        },
        "083fdc7f33d34ab2980f013513ca8ff0": {
          "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_e7f3a14d4f6845328a9cc740181b5a85",
              "IPY_MODEL_3eddad9f2bc94c94b8dd0aef7960a5ae",
              "IPY_MODEL_ff7d8195d7fb41e1b33fc78b71a4d35c"
            ],
            "layout": "IPY_MODEL_542ea4fa8df9451a8dbfd557e30ba6bc"
          }
        },
        "e7f3a14d4f6845328a9cc740181b5a85": {
          "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_75f9dc220d9b4488b747a6d99b415295",
            "placeholder": "​",
            "style": "IPY_MODEL_0c86c102b1ab401da38ff3b60fe1ee70",
            "value": "special_tokens_map.json: 100%"
          }
        },
        "3eddad9f2bc94c94b8dd0aef7960a5ae": {
          "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_f93b3064d0f5477dae231f8e7dc3b771",
            "max": 454,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_5e34652c938442e486c72b20d55e65e7",
            "value": 454
          }
        },
        "ff7d8195d7fb41e1b33fc78b71a4d35c": {
          "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_7fee19a786ae429088ac29af00254d72",
            "placeholder": "​",
            "style": "IPY_MODEL_e335e427e0724750a8ebb5f700d7cd52",
            "value": " 454/454 [00:00<00:00, 31.5kB/s]"
          }
        },
        "542ea4fa8df9451a8dbfd557e30ba6bc": {
          "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
          }
        },
        "75f9dc220d9b4488b747a6d99b415295": {
          "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
          }
        },
        "0c86c102b1ab401da38ff3b60fe1ee70": {
          "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": ""
          }
        },
        "f93b3064d0f5477dae231f8e7dc3b771": {
          "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
          }
        },
        "5e34652c938442e486c72b20d55e65e7": {
          "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": ""
          }
        },
        "7fee19a786ae429088ac29af00254d72": {
          "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
          }
        },
        "e335e427e0724750a8ebb5f700d7cd52": {
          "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": ""
          }
        },
        "c5d48c18a4164626ba352e96356c1a12": {
          "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_45c320b63c0943e08f2d87bb8b238eba",
              "IPY_MODEL_f3a9706e401f47d38b00d852b9ec408b",
              "IPY_MODEL_62081679dc0040a4987a7228d9b6cd66"
            ],
            "layout": "IPY_MODEL_798e1c0c6277494d826cb8104cc47e59"
          }
        },
        "45c320b63c0943e08f2d87bb8b238eba": {
          "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_3605a25af3244ab5afa2605e78813984",
            "placeholder": "​",
            "style": "IPY_MODEL_a62f69033d3547668bd854ef97dab6b7",
            "value": "Map: 100%"
          }
        },
        "f3a9706e401f47d38b00d852b9ec408b": {
          "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_6291949deeb54b518ad11e1e654bf996",
            "max": 33955,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_f52b641d18d94057b57dde628a58086b",
            "value": 33955
          }
        },
        "62081679dc0040a4987a7228d9b6cd66": {
          "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_4468c5266b4e4d6a8522cc483b99e561",
            "placeholder": "​",
            "style": "IPY_MODEL_fb48c07f203248159102d7cb496180ed",
            "value": " 33955/33955 [00:02<00:00, 15548.95 examples/s]"
          }
        },
        "798e1c0c6277494d826cb8104cc47e59": {
          "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
          }
        },
        "3605a25af3244ab5afa2605e78813984": {
          "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
          }
        },
        "a62f69033d3547668bd854ef97dab6b7": {
          "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": ""
          }
        },
        "6291949deeb54b518ad11e1e654bf996": {
          "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
          }
        },
        "f52b641d18d94057b57dde628a58086b": {
          "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": ""
          }
        },
        "4468c5266b4e4d6a8522cc483b99e561": {
          "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
          }
        },
        "fb48c07f203248159102d7cb496180ed": {
          "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": ""
          }
        },
        "b7cb17a84c174c418d312cdd620d61be": {
          "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_b78b78e21eb6458f9dbc1a7b58a4aaa1",
              "IPY_MODEL_4c92c8f2460540df9b109fc97aca4dd3",
              "IPY_MODEL_78eb5bf5f0314b8a9910f043fd9a7b84"
            ],
            "layout": "IPY_MODEL_0dba6b53a3a04d058899ba645ee883e4"
          }
        },
        "b78b78e21eb6458f9dbc1a7b58a4aaa1": {
          "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_3633daf1e8ee4cc6bc34d6688632b778",
            "placeholder": "​",
            "style": "IPY_MODEL_f33fc9da52904467bd42a5e020b212d6",
            "value": "Map (num_proc=2): 100%"
          }
        },
        "4c92c8f2460540df9b109fc97aca4dd3": {
          "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_f7cf7749302246d484b7647b0be28165",
            "max": 30559,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_40ba9e436fd547598285e28fff2f8843",
            "value": 30559
          }
        },
        "78eb5bf5f0314b8a9910f043fd9a7b84": {
          "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_ce9b7efd514a44d192812b0c25903967",
            "placeholder": "​",
            "style": "IPY_MODEL_a437b920777d4933a73ee9b1bafe0df3",
            "value": " 30559/30559 [00:17<00:00, 3185.87 examples/s]"
          }
        },
        "0dba6b53a3a04d058899ba645ee883e4": {
          "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
          }
        },
        "3633daf1e8ee4cc6bc34d6688632b778": {
          "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
          }
        },
        "f33fc9da52904467bd42a5e020b212d6": {
          "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": ""
          }
        },
        "f7cf7749302246d484b7647b0be28165": {
          "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
          }
        },
        "40ba9e436fd547598285e28fff2f8843": {
          "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": ""
          }
        },
        "ce9b7efd514a44d192812b0c25903967": {
          "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
          }
        },
        "a437b920777d4933a73ee9b1bafe0df3": {
          "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": ""
          }
        },
        "a80ef24cf301406fbc6011bcade3cd2d": {
          "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_19697512107540fe90b945877a548887",
              "IPY_MODEL_0d46138470284fb98920ae2d9fcbf13a",
              "IPY_MODEL_545577c7238e44559e6f3a65d8dad0f6"
            ],
            "layout": "IPY_MODEL_d39748b17b814aa8a373b3326c88c544"
          }
        },
        "19697512107540fe90b945877a548887": {
          "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_9341fee29eac400aa03e9484d5e76295",
            "placeholder": "​",
            "style": "IPY_MODEL_076d882c3c1647c1a6e03a1bdaf7cf18",
            "value": "Map: 100%"
          }
        },
        "0d46138470284fb98920ae2d9fcbf13a": {
          "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_6accc611cb1f462d82596f9adf14d11f",
            "max": 30559,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_772f347281aa4ab7ab6e3c5a5d2e25dc",
            "value": 30559
          }
        },
        "545577c7238e44559e6f3a65d8dad0f6": {
          "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_d2d356f574d648e2a16db9aebb983cb7",
            "placeholder": "​",
            "style": "IPY_MODEL_f1c89c57380c4ae0adfe2db559af924d",
            "value": " 30559/30559 [00:03<00:00, 7834.67 examples/s]"
          }
        },
        "d39748b17b814aa8a373b3326c88c544": {
          "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
          }
        },
        "9341fee29eac400aa03e9484d5e76295": {
          "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
          }
        },
        "076d882c3c1647c1a6e03a1bdaf7cf18": {
          "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": ""
          }
        },
        "6accc611cb1f462d82596f9adf14d11f": {
          "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
          }
        },
        "772f347281aa4ab7ab6e3c5a5d2e25dc": {
          "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": ""
          }
        },
        "d2d356f574d648e2a16db9aebb983cb7": {
          "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
          }
        },
        "f1c89c57380c4ae0adfe2db559af924d": {
          "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": ""
          }
        },
        "b13d457a6840420f9e6400940061d27b": {
          "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_f2e930ea643e4e99ab92bd2a5956de3a",
              "IPY_MODEL_f4b093eee6d54d20980dd534db0789a0",
              "IPY_MODEL_5fcf92c1228e4651aef0cb6d528eba4e"
            ],
            "layout": "IPY_MODEL_6c2e06278a084d7281bc804630e5bfbf"
          }
        },
        "f2e930ea643e4e99ab92bd2a5956de3a": {
          "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_88f51440ef3f49c3b3ca43d4a9276be6",
            "placeholder": "​",
            "style": "IPY_MODEL_c5eb9d13736a45fcafe9c5e6ef7c0e0e",
            "value": "README.md: 100%"
          }
        },
        "f4b093eee6d54d20980dd534db0789a0": {
          "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_0db910d448314b419ccd441675196aa6",
            "max": 1242,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_865594e23ddf4f5cb9310f65b2bb1468",
            "value": 1242
          }
        },
        "5fcf92c1228e4651aef0cb6d528eba4e": {
          "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_7506fd5e015d4bb294d33b68fcf9c420",
            "placeholder": "​",
            "style": "IPY_MODEL_bfa763a00291410bb39f5206ff66b8da",
            "value": " 1.24k/1.24k [00:00<00:00, 16.7kB/s]"
          }
        },
        "6c2e06278a084d7281bc804630e5bfbf": {
          "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
          }
        },
        "88f51440ef3f49c3b3ca43d4a9276be6": {
          "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
          }
        },
        "c5eb9d13736a45fcafe9c5e6ef7c0e0e": {
          "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": ""
          }
        },
        "0db910d448314b419ccd441675196aa6": {
          "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
          }
        },
        "865594e23ddf4f5cb9310f65b2bb1468": {
          "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": ""
          }
        },
        "7506fd5e015d4bb294d33b68fcf9c420": {
          "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
          }
        },
        "bfa763a00291410bb39f5206ff66b8da": {
          "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": ""
          }
        },
        "5876dcce5ad04878bff343e18f873c24": {
          "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_08f8b2b9a2e14a56b630cb9ddcbd0956",
              "IPY_MODEL_3d4656a8335f44559e657378f8023ec9",
              "IPY_MODEL_a6ff01a91f6c47cbbe14baaf5460c9f3"
            ],
            "layout": "IPY_MODEL_8ffdeb8b54b14525b1704a0d64649e97"
          }
        },
        "08f8b2b9a2e14a56b630cb9ddcbd0956": {
          "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_cbc1ebb13de344e2bb223a8414e98293",
            "placeholder": "​",
            "style": "IPY_MODEL_3165de0517f044cca1000d15a485f79c",
            "value": "(…)l_meadow_wikidoc_medical_flashcards.json: 100%"
          }
        },
        "3d4656a8335f44559e657378f8023ec9": {
          "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_8b05d3297bc942b0aea2e2995a4b5030",
            "max": 17693997,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_1e0541a038734413813fbf9a0a786f3e",
            "value": 17693997
          }
        },
        "a6ff01a91f6c47cbbe14baaf5460c9f3": {
          "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_3b15224cfa81438dabef427448749ddf",
            "placeholder": "​",
            "style": "IPY_MODEL_12ba3154ce3a4631861ac1a3560d8889",
            "value": " 17.7M/17.7M [00:00<00:00, 27.9MB/s]"
          }
        },
        "8ffdeb8b54b14525b1704a0d64649e97": {
          "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
          }
        },
        "cbc1ebb13de344e2bb223a8414e98293": {
          "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
          }
        },
        "3165de0517f044cca1000d15a485f79c": {
          "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": ""
          }
        },
        "8b05d3297bc942b0aea2e2995a4b5030": {
          "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
          }
        },
        "1e0541a038734413813fbf9a0a786f3e": {
          "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": ""
          }
        },
        "3b15224cfa81438dabef427448749ddf": {
          "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
          }
        },
        "12ba3154ce3a4631861ac1a3560d8889": {
          "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": ""
          }
        },
        "4690dbc5b2a94b6490d7f9ea729e59b6": {
          "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_73d5fdc197c548bc969052a1c3f50ca6",
              "IPY_MODEL_8224b105b2c64379bd1f0b344303bb5b",
              "IPY_MODEL_7f16ace669b74e248c937523d145a295"
            ],
            "layout": "IPY_MODEL_f9fb4e0992494d57b83d23760bcd2652"
          }
        },
        "73d5fdc197c548bc969052a1c3f50ca6": {
          "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_d015a52457b4403e9c3e29f9027764b6",
            "placeholder": "​",
            "style": "IPY_MODEL_9c486c7d022f4d0bbb37923a9f0469a3",
            "value": "Generating train split: 100%"
          }
        },
        "8224b105b2c64379bd1f0b344303bb5b": {
          "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_a4621897dbb24e4ab47fd78741b0f0ea",
            "max": 33955,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_53ebe28fda9c48cf8085a5c69f5cf25a",
            "value": 33955
          }
        },
        "7f16ace669b74e248c937523d145a295": {
          "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_c13e7a01877d40bc90830240c4ce9fd9",
            "placeholder": "​",
            "style": "IPY_MODEL_11a0593d42b241cbb6178934425b088f",
            "value": " 33955/33955 [00:00<00:00, 69626.57 examples/s]"
          }
        },
        "f9fb4e0992494d57b83d23760bcd2652": {
          "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
          }
        },
        "d015a52457b4403e9c3e29f9027764b6": {
          "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
          }
        },
        "9c486c7d022f4d0bbb37923a9f0469a3": {
          "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": ""
          }
        },
        "a4621897dbb24e4ab47fd78741b0f0ea": {
          "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
          }
        },
        "53ebe28fda9c48cf8085a5c69f5cf25a": {
          "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": ""
          }
        },
        "c13e7a01877d40bc90830240c4ce9fd9": {
          "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
          }
        },
        "11a0593d42b241cbb6178934425b088f": {
          "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": ""
          }
        },
        "e460677ff37e4f79bbdec96cd88f01c1": {
          "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_796b4fdf4dff4c3eab7bfdcbe60abc22",
              "IPY_MODEL_c0bf3c9ce2264133aa3c02de1a36c286",
              "IPY_MODEL_09267cbc9d114ceabd5d5c430deb41a5"
            ],
            "layout": "IPY_MODEL_9da91a1f0b3e4a21bc77706b299c3d84"
          }
        },
        "796b4fdf4dff4c3eab7bfdcbe60abc22": {
          "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_3e7a74dbae1145a6826fa3dcf5877b36",
            "placeholder": "​",
            "style": "IPY_MODEL_2b9cc80b376544cbb31343668e01360a",
            "value": "tokenizer_config.json: 100%"
          }
        },
        "c0bf3c9ce2264133aa3c02de1a36c286": {
          "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_6b01ca158f344efea29c2ef31074054b",
            "max": 54528,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_e42b63c89aa3406b8411235507e34bb8",
            "value": 54528
          }
        },
        "09267cbc9d114ceabd5d5c430deb41a5": {
          "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_c9ad39b6c74343769bf17124e1a63a5d",
            "placeholder": "​",
            "style": "IPY_MODEL_18dae97086684144b19104301209c82f",
            "value": " 54.5k/54.5k [00:00<00:00, 2.54MB/s]"
          }
        },
        "9da91a1f0b3e4a21bc77706b299c3d84": {
          "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
          }
        },
        "3e7a74dbae1145a6826fa3dcf5877b36": {
          "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
          }
        },
        "2b9cc80b376544cbb31343668e01360a": {
          "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": ""
          }
        },
        "6b01ca158f344efea29c2ef31074054b": {
          "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
          }
        },
        "e42b63c89aa3406b8411235507e34bb8": {
          "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": ""
          }
        },
        "c9ad39b6c74343769bf17124e1a63a5d": {
          "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
          }
        },
        "18dae97086684144b19104301209c82f": {
          "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": ""
          }
        },
        "cd15f12d6600434d9df6b93878d7df97": {
          "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_de8eda20a97047d5993b07bde1b8b47e",
              "IPY_MODEL_b765a63227c24f4b8649df6f3d7c4c8e",
              "IPY_MODEL_e8f08beed4fb425ebdf894c35fa2e508"
            ],
            "layout": "IPY_MODEL_befc1f3485284d568fec7019ec255dcc"
          }
        },
        "de8eda20a97047d5993b07bde1b8b47e": {
          "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_bc03db7b96d54395bbbf8535c36c1ee4",
            "placeholder": "​",
            "style": "IPY_MODEL_dc4b1c2a0736458dace0de4a41d04099",
            "value": "tokenizer.json: 100%"
          }
        },
        "b765a63227c24f4b8649df6f3d7c4c8e": {
          "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_3537bc87b69042078db04d9fba071905",
            "max": 9085657,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_172ba1b2c7db4ecfaae25f57551d6eff",
            "value": 9085657
          }
        },
        "e8f08beed4fb425ebdf894c35fa2e508": {
          "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_918c39b1b05c452091ee4526538c64d5",
            "placeholder": "​",
            "style": "IPY_MODEL_6128d0b683484be49ee708f38fa9b270",
            "value": " 9.09M/9.09M [00:00<00:00, 22.4MB/s]"
          }
        },
        "befc1f3485284d568fec7019ec255dcc": {
          "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
          }
        },
        "bc03db7b96d54395bbbf8535c36c1ee4": {
          "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
          }
        },
        "dc4b1c2a0736458dace0de4a41d04099": {
          "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": ""
          }
        },
        "3537bc87b69042078db04d9fba071905": {
          "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
          }
        },
        "172ba1b2c7db4ecfaae25f57551d6eff": {
          "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": ""
          }
        },
        "918c39b1b05c452091ee4526538c64d5": {
          "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
          }
        },
        "6128d0b683484be49ee708f38fa9b270": {
          "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": ""
          }
        },
        "7158434489214e6e95406e9c1bd23307": {
          "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_1d5656877dd24d77a806f6a9307ceee8",
              "IPY_MODEL_1e40c78d76dd4eda95317436885ff3d4",
              "IPY_MODEL_c6125a9b02bb4f26b7a43d19d672a375"
            ],
            "layout": "IPY_MODEL_e0cea039a9ba4a969032684d0dcac681"
          }
        },
        "1d5656877dd24d77a806f6a9307ceee8": {
          "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_169467b56ad84fd9a90046da7c86da1f",
            "placeholder": "​",
            "style": "IPY_MODEL_51e05d6b7a2b4ee8a48188bc26e2a672",
            "value": "special_tokens_map.json: 100%"
          }
        },
        "1e40c78d76dd4eda95317436885ff3d4": {
          "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_48223c56e33348ef9b89c63895b41cd7",
            "max": 296,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_e779e85d3e9d4970a46a6aec471a1eaf",
            "value": 296
          }
        },
        "c6125a9b02bb4f26b7a43d19d672a375": {
          "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_11c7bfa8c99c408e8c0bb185b8286761",
            "placeholder": "​",
            "style": "IPY_MODEL_618d4da457a54706b98d6d18fc635a31",
            "value": " 296/296 [00:00<00:00, 13.4kB/s]"
          }
        },
        "e0cea039a9ba4a969032684d0dcac681": {
          "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
          }
        },
        "169467b56ad84fd9a90046da7c86da1f": {
          "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
          }
        },
        "51e05d6b7a2b4ee8a48188bc26e2a672": {
          "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": ""
          }
        },
        "48223c56e33348ef9b89c63895b41cd7": {
          "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
          }
        },
        "e779e85d3e9d4970a46a6aec471a1eaf": {
          "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": ""
          }
        },
        "11c7bfa8c99c408e8c0bb185b8286761": {
          "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
          }
        },
        "618d4da457a54706b98d6d18fc635a31": {
          "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": ""
          }
        },
        "1ea783131fde4379bb448c95664c76e8": {
          "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_bf50cb309c8d48c4983b6f70719bab1c",
              "IPY_MODEL_11465e96d79d423fb974b3caf0b93795",
              "IPY_MODEL_cc8373fc80da4ca4b74ee5d0668a14e5"
            ],
            "layout": "IPY_MODEL_a39b24e25e3040eebcda27a13b0bc5db"
          }
        },
        "bf50cb309c8d48c4983b6f70719bab1c": {
          "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_1ae691d954ab445f8ee74b10d6c0b313",
            "placeholder": "​",
            "style": "IPY_MODEL_e04fdb279d0b4d609af002c1005d087c",
            "value": "config.json: 100%"
          }
        },
        "11465e96d79d423fb974b3caf0b93795": {
          "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_312553cb8b774775bebf6cd19d84787a",
            "max": 877,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_9cf2e6e9b72c45dfa6bc8635b78c9284",
            "value": 877
          }
        },
        "cc8373fc80da4ca4b74ee5d0668a14e5": {
          "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_02ada529fc9d45d0982270c2ca3c4484",
            "placeholder": "​",
            "style": "IPY_MODEL_e31fc3003e3b49e691597dc6525e0d43",
            "value": " 877/877 [00:00<00:00, 30.7kB/s]"
          }
        },
        "a39b24e25e3040eebcda27a13b0bc5db": {
          "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
          }
        },
        "1ae691d954ab445f8ee74b10d6c0b313": {
          "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
          }
        },
        "e04fdb279d0b4d609af002c1005d087c": {
          "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": ""
          }
        },
        "312553cb8b774775bebf6cd19d84787a": {
          "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
          }
        },
        "9cf2e6e9b72c45dfa6bc8635b78c9284": {
          "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": ""
          }
        },
        "02ada529fc9d45d0982270c2ca3c4484": {
          "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
          }
        },
        "e31fc3003e3b49e691597dc6525e0d43": {
          "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": ""
          }
        },
        "b981f07b23ab42b19f86321ad5ae135b": {
          "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_f49ff485def0476097c0800b586a61da",
              "IPY_MODEL_087b2313676f48b9920638197b80c6eb",
              "IPY_MODEL_73ac12cfeb034b7e9ecd72417368d483"
            ],
            "layout": "IPY_MODEL_4516ddbc583745e2a2e3207525ae7b58"
          }
        },
        "f49ff485def0476097c0800b586a61da": {
          "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_ac57a84978174a588f9f3eed42b139e3",
            "placeholder": "​",
            "style": "IPY_MODEL_264216f1703c4ba7afd26e15d9ee564b",
            "value": "model.safetensors: 100%"
          }
        },
        "087b2313676f48b9920638197b80c6eb": {
          "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_f23228ff0fbc457999d4aa02498d3c7f",
            "max": 2471645608,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_b6c7c6231da747c2a63601822fb13cf0",
            "value": 2471645608
          }
        },
        "73ac12cfeb034b7e9ecd72417368d483": {
          "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_c943e778c4ab413cadfa73893e998f24",
            "placeholder": "​",
            "style": "IPY_MODEL_dee88be75d5a4413ab36dd11a2ad666a",
            "value": " 2.47G/2.47G [00:58<00:00, 42.7MB/s]"
          }
        },
        "4516ddbc583745e2a2e3207525ae7b58": {
          "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
          }
        },
        "ac57a84978174a588f9f3eed42b139e3": {
          "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
          }
        },
        "264216f1703c4ba7afd26e15d9ee564b": {
          "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": ""
          }
        },
        "f23228ff0fbc457999d4aa02498d3c7f": {
          "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
          }
        },
        "b6c7c6231da747c2a63601822fb13cf0": {
          "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": ""
          }
        },
        "c943e778c4ab413cadfa73893e998f24": {
          "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
          }
        },
        "dee88be75d5a4413ab36dd11a2ad666a": {
          "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": ""
          }
        },
        "fa40c7b2ca3d450cb294c0bdc910a5c0": {
          "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_a1d404ea5fc84472b5163fd4b4d0f34c",
              "IPY_MODEL_6901b16336654705ab920adf532698a2",
              "IPY_MODEL_88c9fc198e0b4dfd8b4b1739cc5889e0"
            ],
            "layout": "IPY_MODEL_a51f59b5d29b400680540170b4292199"
          }
        },
        "a1d404ea5fc84472b5163fd4b4d0f34c": {
          "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_40dba6d4ca854e75bc039c614987b82e",
            "placeholder": "​",
            "style": "IPY_MODEL_4f284cef72434953915418c1b25f94f1",
            "value": "generation_config.json: 100%"
          }
        },
        "6901b16336654705ab920adf532698a2": {
          "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_878bdd92f40c41269bcddb6b35f58a4d",
            "max": 189,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_2ee27679afa949ed9e7f5798f9b01d11",
            "value": 189
          }
        },
        "88c9fc198e0b4dfd8b4b1739cc5889e0": {
          "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_3bfe1ed1758e45f39b4a5c87d7b37ae0",
            "placeholder": "​",
            "style": "IPY_MODEL_35452073bab646c2b40dd80ef34d0f33",
            "value": " 189/189 [00:00<00:00, 7.32kB/s]"
          }
        },
        "a51f59b5d29b400680540170b4292199": {
          "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
          }
        },
        "40dba6d4ca854e75bc039c614987b82e": {
          "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
          }
        },
        "4f284cef72434953915418c1b25f94f1": {
          "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": ""
          }
        },
        "878bdd92f40c41269bcddb6b35f58a4d": {
          "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
          }
        },
        "2ee27679afa949ed9e7f5798f9b01d11": {
          "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": ""
          }
        },
        "3bfe1ed1758e45f39b4a5c87d7b37ae0": {
          "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
          }
        },
        "35452073bab646c2b40dd80ef34d0f33": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        }
      }
    }
  },
  "nbformat_minor": 0,
  "nbformat": 4,
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "<a href=\"https://colab.research.google.com/github/sAndreotti/MedicalMeadow/blob/main/ATML_part2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ],
      "metadata": {
        "id": "view-in-github"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Components\n",
        "\n",
        "Stefano Quaggio \\\\\n",
        "Damiano Ficara \\\\\n",
        "Claudio Ricci \\\\\n",
        "Stefano Andreotti"
      ],
      "metadata": {
        "id": "5RYHGBF5FZX_"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# MedicalMeadow ChatBot fine-tuning Llama 3.2 1B\n",
        "MedicalMeadow is a project focused on training a chatbot using the LLaMA model, fine-tuned with the Medical Meadow dataset. The aim is to develop a robust NLP system capable of answering medical questions effectively."
      ],
      "metadata": {
        "id": "cMsPGPB95KW4"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Libraries"
      ],
      "metadata": {
        "id": "29nxqgohSsQ3"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Download"
      ],
      "metadata": {
        "id": "K2eUNhk9tprU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install datasets accelerate peft transformers trl==0.12.0 plotly huggingface_hub\n",
        "!pip install --upgrade smart_open\n",
        "!pip install --upgrade gensim\n",
        "!pip install ffmpeg-python\n",
        "!pip install -U openai-whisper\n",
        "!pip install scipy librosa unidecode inflect\n",
        "!pip install unsloth\n",
        "!pip uninstall unsloth -y && pip install --upgrade --no-cache-dir --no-deps git+https://github.com/unslothai/unsloth.git\n",
        "!pip install TTS\n",
        "!pip uninstall -y bitsandbytes\n",
        "!pip install bitsandbytes\n",
        "!pip install nltk\n",
        "!pip install python-dotenv"
      ],
      "metadata": {
        "id": "SAho3HGib9-U",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:06:28.044510Z",
          "iopub.execute_input": "2025-01-13T17:06:28.044710Z",
          "iopub.status.idle": "2025-01-13T17:13:05.715397Z",
          "shell.execute_reply.started": "2025-01-13T17:06:28.044690Z",
          "shell.execute_reply": "2025-01-13T17:13:05.714551Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "2209c642-bec5-45fb-bbe2-42b412901b9c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting datasets\n",
            "  Downloading datasets-3.2.0-py3-none-any.whl.metadata (20 kB)\n",
            "Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (1.2.1)\n",
            "Requirement already satisfied: peft in /usr/local/lib/python3.10/dist-packages (0.14.0)\n",
            "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.47.1)\n",
            "Collecting trl==0.12.0\n",
            "  Downloading trl-0.12.0-py3-none-any.whl.metadata (10 kB)\n",
            "Requirement already satisfied: plotly in /usr/local/lib/python3.10/dist-packages (5.24.1)\n",
            "Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.10/dist-packages (0.27.1)\n",
            "Requirement already satisfied: rich in /usr/local/lib/python3.10/dist-packages (from trl==0.12.0) (13.9.4)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from datasets) (3.16.1)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from datasets) (1.26.4)\n",
            "Requirement already satisfied: pyarrow>=15.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (17.0.0)\n",
            "Collecting dill<0.3.9,>=0.3.0 (from datasets)\n",
            "  Downloading dill-0.3.8-py3-none-any.whl.metadata (10 kB)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from datasets) (2.2.2)\n",
            "Requirement already satisfied: requests>=2.32.2 in /usr/local/lib/python3.10/dist-packages (from datasets) (2.32.3)\n",
            "Requirement already satisfied: tqdm>=4.66.3 in /usr/local/lib/python3.10/dist-packages (from datasets) (4.67.1)\n",
            "Collecting xxhash (from datasets)\n",
            "  Downloading xxhash-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (12 kB)\n",
            "Collecting multiprocess<0.70.17 (from datasets)\n",
            "  Downloading multiprocess-0.70.16-py310-none-any.whl.metadata (7.2 kB)\n",
            "Collecting fsspec<=2024.9.0,>=2023.1.0 (from fsspec[http]<=2024.9.0,>=2023.1.0->datasets)\n",
            "  Downloading fsspec-2024.9.0-py3-none-any.whl.metadata (11 kB)\n",
            "Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from datasets) (3.11.11)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from datasets) (24.2)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from datasets) (6.0.2)\n",
            "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n",
            "Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (2.5.1+cu121)\n",
            "Requirement already satisfied: safetensors>=0.4.3 in /usr/local/lib/python3.10/dist-packages (from accelerate) (0.5.1)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2024.11.6)\n",
            "Requirement already satisfied: tokenizers<0.22,>=0.21 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.21.0)\n",
            "Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from plotly) (9.0.0)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (4.12.2)\n",
            "Requirement already satisfied: aiohappyeyeballs>=2.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (2.4.4)\n",
            "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (1.3.2)\n",
            "Requirement already satisfied: async-timeout<6.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (4.0.3)\n",
            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (24.3.0)\n",
            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (1.5.0)\n",
            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (6.1.0)\n",
            "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (0.2.1)\n",
            "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (1.18.3)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets) (3.4.1)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets) (2.3.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets) (2024.12.14)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.4.2)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.1.5)\n",
            "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (1.13.1)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy==1.13.1->torch>=1.10.0->accelerate) (1.3.0)\n",
            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2024.2)\n",
            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2024.2)\n",
            "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich->trl==0.12.0) (3.0.0)\n",
            "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich->trl==0.12.0) (2.18.0)\n",
            "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich->trl==0.12.0) (0.1.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas->datasets) (1.17.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.10.0->accelerate) (3.0.2)\n",
            "Downloading trl-0.12.0-py3-none-any.whl (310 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m310.2/310.2 kB\u001b[0m \u001b[31m7.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading datasets-3.2.0-py3-none-any.whl (480 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m480.6/480.6 kB\u001b[0m \u001b[31m14.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading dill-0.3.8-py3-none-any.whl (116 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m116.3/116.3 kB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading fsspec-2024.9.0-py3-none-any.whl (179 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m179.3/179.3 kB\u001b[0m \u001b[31m11.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading multiprocess-0.70.16-py310-none-any.whl (134 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.8/134.8 kB\u001b[0m \u001b[31m12.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading xxhash-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (194 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m194.1/194.1 kB\u001b[0m \u001b[31m10.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: xxhash, fsspec, dill, multiprocess, datasets, trl\n",
            "  Attempting uninstall: fsspec\n",
            "    Found existing installation: fsspec 2024.10.0\n",
            "    Uninstalling fsspec-2024.10.0:\n",
            "      Successfully uninstalled fsspec-2024.10.0\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "gcsfs 2024.10.0 requires fsspec==2024.10.0, but you have fsspec 2024.9.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed datasets-3.2.0 dill-0.3.8 fsspec-2024.9.0 multiprocess-0.70.16 trl-0.12.0 xxhash-3.5.0\n",
            "Requirement already satisfied: smart_open in /usr/local/lib/python3.10/dist-packages (7.1.0)\n",
            "Requirement already satisfied: wrapt in /usr/local/lib/python3.10/dist-packages (from smart_open) (1.17.0)\n",
            "Requirement already satisfied: gensim in /usr/local/lib/python3.10/dist-packages (4.3.3)\n",
            "Requirement already satisfied: numpy<2.0,>=1.18.5 in /usr/local/lib/python3.10/dist-packages (from gensim) (1.26.4)\n",
            "Requirement already satisfied: scipy<1.14.0,>=1.7.0 in /usr/local/lib/python3.10/dist-packages (from gensim) (1.13.1)\n",
            "Requirement already satisfied: smart-open>=1.8.1 in /usr/local/lib/python3.10/dist-packages (from gensim) (7.1.0)\n",
            "Requirement already satisfied: wrapt in /usr/local/lib/python3.10/dist-packages (from smart-open>=1.8.1->gensim) (1.17.0)\n",
            "Collecting ffmpeg-python\n",
            "  Downloading ffmpeg_python-0.2.0-py3-none-any.whl.metadata (1.7 kB)\n",
            "Requirement already satisfied: future in /usr/local/lib/python3.10/dist-packages (from ffmpeg-python) (1.0.0)\n",
            "Downloading ffmpeg_python-0.2.0-py3-none-any.whl (25 kB)\n",
            "Installing collected packages: ffmpeg-python\n",
            "Successfully installed ffmpeg-python-0.2.0\n",
            "Collecting openai-whisper\n",
            "  Downloading openai-whisper-20240930.tar.gz (800 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m800.5/800.5 kB\u001b[0m \u001b[31m16.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: numba in /usr/local/lib/python3.10/dist-packages (from openai-whisper) (0.60.0)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from openai-whisper) (1.26.4)\n",
            "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from openai-whisper) (2.5.1+cu121)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from openai-whisper) (4.67.1)\n",
            "Requirement already satisfied: more-itertools in /usr/local/lib/python3.10/dist-packages (from openai-whisper) (10.5.0)\n",
            "Collecting tiktoken (from openai-whisper)\n",
            "  Downloading tiktoken-0.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.6 kB)\n",
            "Collecting triton>=2.0.0 (from openai-whisper)\n",
            "  Downloading triton-3.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.3 kB)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from triton>=2.0.0->openai-whisper) (3.16.1)\n",
            "Requirement already satisfied: llvmlite<0.44,>=0.43.0dev0 in /usr/local/lib/python3.10/dist-packages (from numba->openai-whisper) (0.43.0)\n",
            "Requirement already satisfied: regex>=2022.1.18 in /usr/local/lib/python3.10/dist-packages (from tiktoken->openai-whisper) (2024.11.6)\n",
            "Requirement already satisfied: requests>=2.26.0 in /usr/local/lib/python3.10/dist-packages (from tiktoken->openai-whisper) (2.32.3)\n",
            "Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper) (4.12.2)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper) (3.4.2)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper) (3.1.5)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper) (2024.9.0)\n",
            "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper) (1.13.1)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy==1.13.1->torch->openai-whisper) (1.3.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->tiktoken->openai-whisper) (3.4.1)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->tiktoken->openai-whisper) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->tiktoken->openai-whisper) (2.3.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->tiktoken->openai-whisper) (2024.12.14)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch->openai-whisper) (3.0.2)\n",
            "Downloading triton-3.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (209.5 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m209.5/209.5 MB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading tiktoken-0.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.2/1.2 MB\u001b[0m \u001b[31m52.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hBuilding wheels for collected packages: openai-whisper\n",
            "  Building wheel for openai-whisper (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for openai-whisper: filename=openai_whisper-20240930-py3-none-any.whl size=803373 sha256=37ff577cf0b7161022ace1dd7a4e1112f038b28141013c3c08c0a075ca6a8a70\n",
            "  Stored in directory: /root/.cache/pip/wheels/dd/4a/1f/d1c4bf3b9133c8168fe617ed979cab7b14fe381d059ffb9d83\n",
            "Successfully built openai-whisper\n",
            "Installing collected packages: triton, tiktoken, openai-whisper\n",
            "Successfully installed openai-whisper-20240930 tiktoken-0.8.0 triton-3.1.0\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (1.13.1)\n",
            "Requirement already satisfied: librosa in /usr/local/lib/python3.10/dist-packages (0.10.2.post1)\n",
            "Collecting unidecode\n",
            "  Downloading Unidecode-1.3.8-py3-none-any.whl.metadata (13 kB)\n",
            "Requirement already satisfied: inflect in /usr/local/lib/python3.10/dist-packages (7.5.0)\n",
            "Requirement already satisfied: numpy<2.3,>=1.22.4 in /usr/local/lib/python3.10/dist-packages (from scipy) (1.26.4)\n",
            "Requirement already satisfied: audioread>=2.1.9 in /usr/local/lib/python3.10/dist-packages (from librosa) (3.0.1)\n",
            "Requirement already satisfied: scikit-learn>=0.20.0 in /usr/local/lib/python3.10/dist-packages (from librosa) (1.6.0)\n",
            "Requirement already satisfied: joblib>=0.14 in /usr/local/lib/python3.10/dist-packages (from librosa) (1.4.2)\n",
            "Requirement already satisfied: decorator>=4.3.0 in /usr/local/lib/python3.10/dist-packages (from librosa) (4.4.2)\n",
            "Requirement already satisfied: numba>=0.51.0 in /usr/local/lib/python3.10/dist-packages (from librosa) (0.60.0)\n",
            "Requirement already satisfied: soundfile>=0.12.1 in /usr/local/lib/python3.10/dist-packages (from librosa) (0.13.0)\n",
            "Requirement already satisfied: pooch>=1.1 in /usr/local/lib/python3.10/dist-packages (from librosa) (1.8.2)\n",
            "Requirement already satisfied: soxr>=0.3.2 in /usr/local/lib/python3.10/dist-packages (from librosa) (0.5.0.post1)\n",
            "Requirement already satisfied: typing-extensions>=4.1.1 in /usr/local/lib/python3.10/dist-packages (from librosa) (4.12.2)\n",
            "Requirement already satisfied: lazy-loader>=0.1 in /usr/local/lib/python3.10/dist-packages (from librosa) (0.4)\n",
            "Requirement already satisfied: msgpack>=1.0 in /usr/local/lib/python3.10/dist-packages (from librosa) (1.1.0)\n",
            "Requirement already satisfied: more_itertools>=8.5.0 in /usr/local/lib/python3.10/dist-packages (from inflect) (10.5.0)\n",
            "Requirement already satisfied: typeguard>=4.0.1 in /usr/local/lib/python3.10/dist-packages (from inflect) (4.4.1)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from lazy-loader>=0.1->librosa) (24.2)\n",
            "Requirement already satisfied: llvmlite<0.44,>=0.43.0dev0 in /usr/local/lib/python3.10/dist-packages (from numba>=0.51.0->librosa) (0.43.0)\n",
            "Requirement already satisfied: platformdirs>=2.5.0 in /usr/local/lib/python3.10/dist-packages (from pooch>=1.1->librosa) (4.3.6)\n",
            "Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.10/dist-packages (from pooch>=1.1->librosa) (2.32.3)\n",
            "Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=0.20.0->librosa) (3.5.0)\n",
            "Requirement already satisfied: cffi>=1.0 in /usr/local/lib/python3.10/dist-packages (from soundfile>=0.12.1->librosa) (1.17.1)\n",
            "Requirement already satisfied: pycparser in /usr/local/lib/python3.10/dist-packages (from cffi>=1.0->soundfile>=0.12.1->librosa) (2.22)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pooch>=1.1->librosa) (3.4.1)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pooch>=1.1->librosa) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pooch>=1.1->librosa) (2.3.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pooch>=1.1->librosa) (2024.12.14)\n",
            "Downloading Unidecode-1.3.8-py3-none-any.whl (235 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m235.5/235.5 kB\u001b[0m \u001b[31m7.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: unidecode\n",
            "Successfully installed unidecode-1.3.8\n",
            "Collecting unsloth\n",
            "  Downloading unsloth-2025.1.5-py3-none-any.whl.metadata (60 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m60.4/60.4 kB\u001b[0m \u001b[31m3.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting unsloth_zoo>=2025.1.2 (from unsloth)\n",
            "  Downloading unsloth_zoo-2025.1.3-py3-none-any.whl.metadata (16 kB)\n",
            "Requirement already satisfied: torch>=2.4.0 in /usr/local/lib/python3.10/dist-packages (from unsloth) (2.5.1+cu121)\n",
            "Collecting xformers>=0.0.27.post2 (from unsloth)\n",
            "  Downloading xformers-0.0.29.post1-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (1.0 kB)\n",
            "Collecting bitsandbytes (from unsloth)\n",
            "  Downloading bitsandbytes-0.45.0-py3-none-manylinux_2_24_x86_64.whl.metadata (2.9 kB)\n",
            "Requirement already satisfied: triton>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from unsloth) (3.1.0)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from unsloth) (24.2)\n",
            "Collecting tyro (from unsloth)\n",
            "  Downloading tyro-0.9.8-py3-none-any.whl.metadata (9.4 kB)\n",
            "Requirement already satisfied: transformers!=4.47.0,>=4.46.1 in /usr/local/lib/python3.10/dist-packages (from unsloth) (4.47.1)\n",
            "Requirement already satisfied: datasets>=2.16.0 in /usr/local/lib/python3.10/dist-packages (from unsloth) (3.2.0)\n",
            "Requirement already satisfied: sentencepiece>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from unsloth) (0.2.0)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from unsloth) (4.67.1)\n",
            "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from unsloth) (5.9.5)\n",
            "Requirement already satisfied: wheel>=0.42.0 in /usr/local/lib/python3.10/dist-packages (from unsloth) (0.45.1)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from unsloth) (1.26.4)\n",
            "Requirement already satisfied: accelerate>=0.34.1 in /usr/local/lib/python3.10/dist-packages (from unsloth) (1.2.1)\n",
            "Requirement already satisfied: trl!=0.9.0,!=0.9.1,!=0.9.2,!=0.9.3,>=0.7.9 in /usr/local/lib/python3.10/dist-packages (from unsloth) (0.12.0)\n",
            "Requirement already satisfied: peft!=0.11.0,>=0.7.1 in /usr/local/lib/python3.10/dist-packages (from unsloth) (0.14.0)\n",
            "Collecting protobuf<4.0.0 (from unsloth)\n",
            "  Downloading protobuf-3.20.3-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.metadata (679 bytes)\n",
            "Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.10/dist-packages (from unsloth) (0.27.1)\n",
            "Collecting hf_transfer (from unsloth)\n",
            "  Downloading hf_transfer-0.1.9-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.7 kB)\n",
            "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from accelerate>=0.34.1->unsloth) (6.0.2)\n",
            "Requirement already satisfied: safetensors>=0.4.3 in /usr/local/lib/python3.10/dist-packages (from accelerate>=0.34.1->unsloth) (0.5.1)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth) (3.16.1)\n",
            "Requirement already satisfied: pyarrow>=15.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth) (17.0.0)\n",
            "Requirement already satisfied: dill<0.3.9,>=0.3.0 in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth) (0.3.8)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth) (2.2.2)\n",
            "Requirement already satisfied: requests>=2.32.2 in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth) (2.32.3)\n",
            "Requirement already satisfied: xxhash in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth) (3.5.0)\n",
            "Requirement already satisfied: multiprocess<0.70.17 in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth) (0.70.16)\n",
            "Requirement already satisfied: fsspec<=2024.9.0,>=2023.1.0 in /usr/local/lib/python3.10/dist-packages (from fsspec[http]<=2024.9.0,>=2023.1.0->datasets>=2.16.0->unsloth) (2024.9.0)\n",
            "Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from datasets>=2.16.0->unsloth) (3.11.11)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub->unsloth) (4.12.2)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=2.4.0->unsloth) (3.4.2)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=2.4.0->unsloth) (3.1.5)\n",
            "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.10/dist-packages (from torch>=2.4.0->unsloth) (1.13.1)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy==1.13.1->torch>=2.4.0->unsloth) (1.3.0)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers!=4.47.0,>=4.46.1->unsloth) (2024.11.6)\n",
            "Requirement already satisfied: tokenizers<0.22,>=0.21 in /usr/local/lib/python3.10/dist-packages (from transformers!=4.47.0,>=4.46.1->unsloth) (0.21.0)\n",
            "Requirement already satisfied: rich in /usr/local/lib/python3.10/dist-packages (from trl!=0.9.0,!=0.9.1,!=0.9.2,!=0.9.3,>=0.7.9->unsloth) (13.9.4)\n",
            "Collecting cut_cross_entropy (from unsloth_zoo>=2025.1.2->unsloth)\n",
            "  Downloading cut_cross_entropy-25.1.1-py3-none-any.whl.metadata (9.3 kB)\n",
            "Requirement already satisfied: pillow in /usr/local/lib/python3.10/dist-packages (from unsloth_zoo>=2025.1.2->unsloth) (11.1.0)\n",
            "Requirement already satisfied: docstring-parser>=0.15 in /usr/local/lib/python3.10/dist-packages (from tyro->unsloth) (0.16)\n",
            "Collecting shtab>=1.5.6 (from tyro->unsloth)\n",
            "  Downloading shtab-1.7.1-py3-none-any.whl.metadata (7.3 kB)\n",
            "Requirement already satisfied: typeguard>=4.0.0 in /usr/local/lib/python3.10/dist-packages (from tyro->unsloth) (4.4.1)\n",
            "Requirement already satisfied: aiohappyeyeballs>=2.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth) (2.4.4)\n",
            "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth) (1.3.2)\n",
            "Requirement already satisfied: async-timeout<6.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth) (4.0.3)\n",
            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth) (24.3.0)\n",
            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth) (1.5.0)\n",
            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth) (6.1.0)\n",
            "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth) (0.2.1)\n",
            "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.16.0->unsloth) (1.18.3)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets>=2.16.0->unsloth) (3.4.1)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets>=2.16.0->unsloth) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets>=2.16.0->unsloth) (2.3.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets>=2.16.0->unsloth) (2024.12.14)\n",
            "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich->trl!=0.9.0,!=0.9.1,!=0.9.2,!=0.9.3,>=0.7.9->unsloth) (3.0.0)\n",
            "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich->trl!=0.9.0,!=0.9.1,!=0.9.2,!=0.9.3,>=0.7.9->unsloth) (2.18.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=2.4.0->unsloth) (3.0.2)\n",
            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets>=2.16.0->unsloth) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets>=2.16.0->unsloth) (2024.2)\n",
            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets>=2.16.0->unsloth) (2024.2)\n",
            "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich->trl!=0.9.0,!=0.9.1,!=0.9.2,!=0.9.3,>=0.7.9->unsloth) (0.1.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas->datasets>=2.16.0->unsloth) (1.17.0)\n",
            "Downloading unsloth-2025.1.5-py3-none-any.whl (177 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m177.4/177.4 kB\u001b[0m \u001b[31m9.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading protobuf-3.20.3-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.1 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.1/1.1 MB\u001b[0m \u001b[31m38.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading unsloth_zoo-2025.1.3-py3-none-any.whl (76 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.1/76.1 kB\u001b[0m \u001b[31m7.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading xformers-0.0.29.post1-cp310-cp310-manylinux_2_28_x86_64.whl (15.3 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.3/15.3 MB\u001b[0m \u001b[31m103.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading bitsandbytes-0.45.0-py3-none-manylinux_2_24_x86_64.whl (69.1 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m69.1/69.1 MB\u001b[0m \u001b[31m10.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading hf_transfer-0.1.9-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.6/3.6 MB\u001b[0m \u001b[31m37.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading tyro-0.9.8-py3-none-any.whl (113 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m113.8/113.8 kB\u001b[0m \u001b[31m10.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading shtab-1.7.1-py3-none-any.whl (14 kB)\n",
            "Downloading cut_cross_entropy-25.1.1-py3-none-any.whl (22 kB)\n",
            "Installing collected packages: shtab, protobuf, hf_transfer, xformers, tyro, cut_cross_entropy, bitsandbytes, unsloth_zoo, unsloth\n",
            "  Attempting uninstall: protobuf\n",
            "    Found existing installation: protobuf 4.25.5\n",
            "    Uninstalling protobuf-4.25.5:\n",
            "      Successfully uninstalled protobuf-4.25.5\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "grpcio-status 1.62.3 requires protobuf>=4.21.6, but you have protobuf 3.20.3 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed bitsandbytes-0.45.0 cut_cross_entropy-25.1.1 hf_transfer-0.1.9 protobuf-3.20.3 shtab-1.7.1 tyro-0.9.8 unsloth-2025.1.5 unsloth_zoo-2025.1.3 xformers-0.0.29.post1\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "google"
                ]
              },
              "id": "88f3b7b8f66c4f2889c3a946292a72d2"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found existing installation: unsloth 2025.1.5\n",
            "Uninstalling unsloth-2025.1.5:\n",
            "  Successfully uninstalled unsloth-2025.1.5\n",
            "Collecting git+https://github.com/unslothai/unsloth.git\n",
            "  Cloning https://github.com/unslothai/unsloth.git to /tmp/pip-req-build-fhp3sytp\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/unslothai/unsloth.git /tmp/pip-req-build-fhp3sytp\n",
            "  Resolved https://github.com/unslothai/unsloth.git to commit 5dddf27f3ba94506c48251e907031039eecd40d1\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Building wheels for collected packages: unsloth\n",
            "  Building wheel for unsloth (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for unsloth: filename=unsloth-2025.1.5-py3-none-any.whl size=176838 sha256=8668e25f170757a535758b645d635b2b9a4df5ad58a8140b065acb1fd848cb98\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-tw081x5u/wheels/ed/d4/e9/76fb290ee3df0a5fc21ce5c2c788e29e9607a2353d8342fd0d\n",
            "Successfully built unsloth\n",
            "Installing collected packages: unsloth\n",
            "Successfully installed unsloth-2025.1.5\n",
            "Collecting TTS\n",
            "  Downloading TTS-0.22.0-cp310-cp310-manylinux1_x86_64.whl.metadata (21 kB)\n",
            "Requirement already satisfied: cython>=0.29.30 in /usr/local/lib/python3.10/dist-packages (from TTS) (3.0.11)\n",
            "Requirement already satisfied: scipy>=1.11.2 in /usr/local/lib/python3.10/dist-packages (from TTS) (1.13.1)\n",
            "Requirement already satisfied: torch>=2.1 in /usr/local/lib/python3.10/dist-packages (from TTS) (2.5.1+cu121)\n",
            "Requirement already satisfied: torchaudio in /usr/local/lib/python3.10/dist-packages (from TTS) (2.5.1+cu121)\n",
            "Requirement already satisfied: soundfile>=0.12.0 in /usr/local/lib/python3.10/dist-packages (from TTS) (0.13.0)\n",
            "Requirement already satisfied: librosa>=0.10.0 in /usr/local/lib/python3.10/dist-packages (from TTS) (0.10.2.post1)\n",
            "Requirement already satisfied: scikit-learn>=1.3.0 in /usr/local/lib/python3.10/dist-packages (from TTS) (1.6.0)\n",
            "Requirement already satisfied: inflect>=5.6.0 in /usr/local/lib/python3.10/dist-packages (from TTS) (7.5.0)\n",
            "Requirement already satisfied: tqdm>=4.64.1 in /usr/local/lib/python3.10/dist-packages (from TTS) (4.67.1)\n",
            "Collecting anyascii>=0.3.0 (from TTS)\n",
            "  Downloading anyascii-0.3.2-py3-none-any.whl.metadata (1.5 kB)\n",
            "Requirement already satisfied: pyyaml>=6.0 in /usr/local/lib/python3.10/dist-packages (from TTS) (6.0.2)\n",
            "Requirement already satisfied: fsspec>=2023.6.0 in /usr/local/lib/python3.10/dist-packages (from TTS) (2024.9.0)\n",
            "Requirement already satisfied: aiohttp>=3.8.1 in /usr/local/lib/python3.10/dist-packages (from TTS) (3.11.11)\n",
            "Requirement already satisfied: packaging>=23.1 in /usr/local/lib/python3.10/dist-packages (from TTS) (24.2)\n",
            "Requirement already satisfied: flask>=2.0.1 in /usr/local/lib/python3.10/dist-packages (from TTS) (3.1.0)\n",
            "Collecting pysbd>=0.3.4 (from TTS)\n",
            "  Downloading pysbd-0.3.4-py3-none-any.whl.metadata (6.1 kB)\n",
            "Collecting umap-learn>=0.5.1 (from TTS)\n",
            "  Downloading umap_learn-0.5.7-py3-none-any.whl.metadata (21 kB)\n",
            "Collecting pandas<2.0,>=1.4 (from TTS)\n",
            "  Downloading pandas-1.5.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)\n",
            "Requirement already satisfied: matplotlib>=3.7.0 in /usr/local/lib/python3.10/dist-packages (from TTS) (3.10.0)\n",
            "Collecting trainer>=0.0.32 (from TTS)\n",
            "  Downloading trainer-0.0.36-py3-none-any.whl.metadata (8.1 kB)\n",
            "Collecting coqpit>=0.0.16 (from TTS)\n",
            "  Downloading coqpit-0.0.17-py3-none-any.whl.metadata (11 kB)\n",
            "Requirement already satisfied: jieba in /usr/local/lib/python3.10/dist-packages (from TTS) (0.42.1)\n",
            "Collecting pypinyin (from TTS)\n",
            "  Downloading pypinyin-0.53.0-py2.py3-none-any.whl.metadata (12 kB)\n",
            "Collecting hangul-romanize (from TTS)\n",
            "  Downloading hangul_romanize-0.1.0-py3-none-any.whl.metadata (1.2 kB)\n",
            "Collecting gruut==2.2.3 (from gruut[de,es,fr]==2.2.3->TTS)\n",
            "  Downloading gruut-2.2.3.tar.gz (73 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m73.5/73.5 kB\u001b[0m \u001b[31m5.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting jamo (from TTS)\n",
            "  Downloading jamo-0.4.1-py3-none-any.whl.metadata (2.3 kB)\n",
            "Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (from TTS) (3.9.1)\n",
            "Collecting g2pkk>=0.1.1 (from TTS)\n",
            "  Downloading g2pkk-0.1.2-py3-none-any.whl.metadata (2.0 kB)\n",
            "Collecting bangla (from TTS)\n",
            "  Downloading bangla-0.0.2-py2.py3-none-any.whl.metadata (4.5 kB)\n",
            "Collecting bnnumerizer (from TTS)\n",
            "  Downloading bnnumerizer-0.0.2.tar.gz (4.7 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting bnunicodenormalizer (from TTS)\n",
            "  Downloading bnunicodenormalizer-0.1.7-py3-none-any.whl.metadata (22 kB)\n",
            "Requirement already satisfied: einops>=0.6.0 in /usr/local/lib/python3.10/dist-packages (from TTS) (0.8.0)\n",
            "Requirement already satisfied: transformers>=4.33.0 in /usr/local/lib/python3.10/dist-packages (from TTS) (4.47.1)\n",
            "Collecting encodec>=0.1.1 (from TTS)\n",
            "  Downloading encodec-0.1.1.tar.gz (3.7 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.7/3.7 MB\u001b[0m \u001b[31m64.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: unidecode>=1.3.2 in /usr/local/lib/python3.10/dist-packages (from TTS) (1.3.8)\n",
            "Collecting num2words (from TTS)\n",
            "  Downloading num2words-0.5.14-py3-none-any.whl.metadata (13 kB)\n",
            "Requirement already satisfied: spacy>=3 in /usr/local/lib/python3.10/dist-packages (from spacy[ja]>=3->TTS) (3.7.5)\n",
            "Collecting numpy==1.22.0 (from TTS)\n",
            "  Downloading numpy-1.22.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.0 kB)\n",
            "Requirement already satisfied: numba>=0.57.0 in /usr/local/lib/python3.10/dist-packages (from TTS) (0.60.0)\n",
            "Requirement already satisfied: Babel<3.0.0,>=2.8.0 in /usr/local/lib/python3.10/dist-packages (from gruut==2.2.3->gruut[de,es,fr]==2.2.3->TTS) (2.16.0)\n",
            "Collecting dateparser~=1.1.0 (from gruut==2.2.3->gruut[de,es,fr]==2.2.3->TTS)\n",
            "  Downloading dateparser-1.1.8-py2.py3-none-any.whl.metadata (27 kB)\n",
            "Collecting gruut-ipa<1.0,>=0.12.0 (from gruut==2.2.3->gruut[de,es,fr]==2.2.3->TTS)\n",
            "  Downloading gruut-ipa-0.13.0.tar.gz (101 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m101.6/101.6 kB\u001b[0m \u001b[31m10.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting gruut_lang_en~=2.0.0 (from gruut==2.2.3->gruut[de,es,fr]==2.2.3->TTS)\n",
            "  Downloading gruut_lang_en-2.0.1.tar.gz (15.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.3/15.3 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting jsonlines~=1.2.0 (from gruut==2.2.3->gruut[de,es,fr]==2.2.3->TTS)\n",
            "  Downloading jsonlines-1.2.0-py2.py3-none-any.whl.metadata (1.3 kB)\n",
            "Collecting networkx<3.0.0,>=2.5.0 (from gruut==2.2.3->gruut[de,es,fr]==2.2.3->TTS)\n",
            "  Downloading networkx-2.8.8-py3-none-any.whl.metadata (5.1 kB)\n",
            "Collecting python-crfsuite~=0.9.7 (from gruut==2.2.3->gruut[de,es,fr]==2.2.3->TTS)\n",
            "  Downloading python_crfsuite-0.9.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.3 kB)\n",
            "Collecting gruut_lang_de~=2.0.0 (from gruut[de,es,fr]==2.2.3->TTS)\n",
            "  Downloading gruut_lang_de-2.0.1.tar.gz (18.1 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m18.1/18.1 MB\u001b[0m \u001b[31m28.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting gruut_lang_fr~=2.0.0 (from gruut[de,es,fr]==2.2.3->TTS)\n",
            "  Downloading gruut_lang_fr-2.0.2.tar.gz (10.9 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m10.9/10.9 MB\u001b[0m \u001b[31m22.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting gruut_lang_es~=2.0.0 (from gruut[de,es,fr]==2.2.3->TTS)\n",
            "  Downloading gruut_lang_es-2.0.1.tar.gz (31.4 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m31.4/31.4 MB\u001b[0m \u001b[31m16.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: aiohappyeyeballs>=2.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp>=3.8.1->TTS) (2.4.4)\n",
            "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp>=3.8.1->TTS) (1.3.2)\n",
            "Requirement already satisfied: async-timeout<6.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp>=3.8.1->TTS) (4.0.3)\n",
            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp>=3.8.1->TTS) (24.3.0)\n",
            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp>=3.8.1->TTS) (1.5.0)\n",
            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp>=3.8.1->TTS) (6.1.0)\n",
            "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp>=3.8.1->TTS) (0.2.1)\n",
            "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp>=3.8.1->TTS) (1.18.3)\n",
            "Requirement already satisfied: Werkzeug>=3.1 in /usr/local/lib/python3.10/dist-packages (from flask>=2.0.1->TTS) (3.1.3)\n",
            "Requirement already satisfied: Jinja2>=3.1.2 in /usr/local/lib/python3.10/dist-packages (from flask>=2.0.1->TTS) (3.1.5)\n",
            "Requirement already satisfied: itsdangerous>=2.2 in /usr/local/lib/python3.10/dist-packages (from flask>=2.0.1->TTS) (2.2.0)\n",
            "Requirement already satisfied: click>=8.1.3 in /usr/local/lib/python3.10/dist-packages (from flask>=2.0.1->TTS) (8.1.8)\n",
            "Requirement already satisfied: blinker>=1.9 in /usr/local/lib/python3.10/dist-packages (from flask>=2.0.1->TTS) (1.9.0)\n",
            "Requirement already satisfied: more_itertools>=8.5.0 in /usr/local/lib/python3.10/dist-packages (from inflect>=5.6.0->TTS) (10.5.0)\n",
            "Requirement already satisfied: typeguard>=4.0.1 in /usr/local/lib/python3.10/dist-packages (from inflect>=5.6.0->TTS) (4.4.1)\n",
            "Requirement already satisfied: audioread>=2.1.9 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->TTS) (3.0.1)\n",
            "INFO: pip is looking at multiple versions of librosa to determine which version is compatible with other requirements. This could take a while.\n",
            "Collecting librosa>=0.10.0 (from TTS)\n",
            "  Downloading librosa-0.10.2-py3-none-any.whl.metadata (8.6 kB)\n",
            "  Downloading librosa-0.10.1-py3-none-any.whl.metadata (8.3 kB)\n",
            "  Downloading librosa-0.10.0.post2-py3-none-any.whl.metadata (8.3 kB)\n",
            "  Downloading librosa-0.10.0.post1-py3-none-any.whl.metadata (8.3 kB)\n",
            "  Downloading librosa-0.10.0-py3-none-any.whl.metadata (8.3 kB)\n",
            "Requirement already satisfied: joblib>=0.14 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->TTS) (1.4.2)\n",
            "Requirement already satisfied: decorator>=4.3.0 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->TTS) (4.4.2)\n",
            "Requirement already satisfied: pooch>=1.0 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->TTS) (1.8.2)\n",
            "Requirement already satisfied: soxr>=0.3.2 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->TTS) (0.5.0.post1)\n",
            "Requirement already satisfied: typing-extensions>=4.1.1 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->TTS) (4.12.2)\n",
            "Requirement already satisfied: lazy-loader>=0.1 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->TTS) (0.4)\n",
            "Requirement already satisfied: msgpack>=1.0 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->TTS) (1.1.0)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.7.0->TTS) (1.3.1)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.7.0->TTS) (0.12.1)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.7.0->TTS) (4.55.3)\n",
            "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.7.0->TTS) (1.4.8)\n",
            "INFO: pip is looking at multiple versions of matplotlib to determine which version is compatible with other requirements. This could take a while.\n",
            "Collecting matplotlib>=3.7.0 (from TTS)\n",
            "  Downloading matplotlib-3.9.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)\n",
            "  Downloading matplotlib-3.9.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)\n",
            "  Downloading matplotlib-3.9.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)\n",
            "  Downloading matplotlib-3.9.1.post1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)\n",
            "  Downloading matplotlib-3.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)\n",
            "  Downloading matplotlib-3.8.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.8 kB)\n",
            "Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.7.0->TTS) (11.1.0)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.7.0->TTS) (3.2.1)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.7.0->TTS) (2.8.2)\n",
            "Collecting docopt>=0.6.2 (from num2words->TTS)\n",
            "  Downloading docopt-0.6.2.tar.gz (25 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: llvmlite<0.44,>=0.43.0dev0 in /usr/local/lib/python3.10/dist-packages (from numba>=0.57.0->TTS) (0.43.0)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas<2.0,>=1.4->TTS) (2024.2)\n",
            "Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=1.3.0->TTS) (3.5.0)\n",
            "INFO: pip is looking at multiple versions of scipy to determine which version is compatible with other requirements. This could take a while.\n",
            "Collecting scipy>=1.11.2 (from TTS)\n",
            "  Downloading scipy-1.15.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.0/62.0 kB\u001b[0m \u001b[31m5.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Downloading scipy-1.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.0/62.0 kB\u001b[0m \u001b[31m5.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Downloading scipy-1.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (60 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m60.8/60.8 kB\u001b[0m \u001b[31m5.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Downloading scipy-1.14.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (60 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m60.8/60.8 kB\u001b[0m \u001b[31m5.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Downloading scipy-1.13.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (60 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m60.6/60.6 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Downloading scipy-1.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (60 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m60.4/60.4 kB\u001b[0m \u001b[31m5.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Downloading scipy-1.11.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (60 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m60.4/60.4 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: cffi>=1.0 in /usr/local/lib/python3.10/dist-packages (from soundfile>=0.12.0->TTS) (1.17.1)\n",
            "Requirement already satisfied: spacy-legacy<3.1.0,>=3.0.11 in /usr/local/lib/python3.10/dist-packages (from spacy>=3->spacy[ja]>=3->TTS) (3.0.12)\n",
            "Requirement already satisfied: spacy-loggers<2.0.0,>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from spacy>=3->spacy[ja]>=3->TTS) (1.0.5)\n",
            "Requirement already satisfied: murmurhash<1.1.0,>=0.28.0 in /usr/local/lib/python3.10/dist-packages (from spacy>=3->spacy[ja]>=3->TTS) (1.0.11)\n",
            "Requirement already satisfied: cymem<2.1.0,>=2.0.2 in /usr/local/lib/python3.10/dist-packages (from spacy>=3->spacy[ja]>=3->TTS) (2.0.10)\n",
            "Requirement already satisfied: preshed<3.1.0,>=3.0.2 in /usr/local/lib/python3.10/dist-packages (from spacy>=3->spacy[ja]>=3->TTS) (3.0.9)\n",
            "Requirement already satisfied: thinc<8.3.0,>=8.2.2 in /usr/local/lib/python3.10/dist-packages (from spacy>=3->spacy[ja]>=3->TTS) (8.2.5)\n",
            "Requirement already satisfied: wasabi<1.2.0,>=0.9.1 in /usr/local/lib/python3.10/dist-packages (from spacy>=3->spacy[ja]>=3->TTS) (1.1.3)\n",
            "Requirement already satisfied: srsly<3.0.0,>=2.4.3 in /usr/local/lib/python3.10/dist-packages (from spacy>=3->spacy[ja]>=3->TTS) (2.5.0)\n",
            "Requirement already satisfied: catalogue<2.1.0,>=2.0.6 in /usr/local/lib/python3.10/dist-packages (from spacy>=3->spacy[ja]>=3->TTS) (2.0.10)\n",
            "Requirement already satisfied: weasel<0.5.0,>=0.1.0 in /usr/local/lib/python3.10/dist-packages (from spacy>=3->spacy[ja]>=3->TTS) (0.4.1)\n",
            "Requirement already satisfied: typer<1.0.0,>=0.3.0 in /usr/local/lib/python3.10/dist-packages (from spacy>=3->spacy[ja]>=3->TTS) (0.15.1)\n",
            "Requirement already satisfied: requests<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from spacy>=3->spacy[ja]>=3->TTS) (2.32.3)\n",
            "Requirement already satisfied: pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4 in /usr/local/lib/python3.10/dist-packages (from spacy>=3->spacy[ja]>=3->TTS) (2.10.4)\n",
            "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from spacy>=3->spacy[ja]>=3->TTS) (75.1.0)\n",
            "Requirement already satisfied: langcodes<4.0.0,>=3.2.0 in /usr/local/lib/python3.10/dist-packages (from spacy>=3->spacy[ja]>=3->TTS) (3.5.0)\n",
            "Collecting sudachipy!=0.6.1,>=0.5.2 (from spacy[ja]>=3->TTS)\n",
            "  Downloading SudachiPy-0.6.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (12 kB)\n",
            "Collecting sudachidict-core>=20211220 (from spacy[ja]>=3->TTS)\n",
            "  Downloading SudachiDict_core-20241021-py3-none-any.whl.metadata (2.5 kB)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=2.1->TTS) (3.16.1)\n",
            "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.10/dist-packages (from torch>=2.1->TTS) (1.13.1)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy==1.13.1->torch>=2.1->TTS) (1.3.0)\n",
            "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from trainer>=0.0.32->TTS) (5.9.5)\n",
            "Requirement already satisfied: tensorboard in /usr/local/lib/python3.10/dist-packages (from trainer>=0.0.32->TTS) (2.17.1)\n",
            "Requirement already satisfied: huggingface-hub<1.0,>=0.24.0 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.33.0->TTS) (0.27.1)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.33.0->TTS) (2024.11.6)\n",
            "Requirement already satisfied: tokenizers<0.22,>=0.21 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.33.0->TTS) (0.21.0)\n",
            "Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.33.0->TTS) (0.5.1)\n",
            "Collecting pynndescent>=0.5 (from umap-learn>=0.5.1->TTS)\n",
            "  Downloading pynndescent-0.5.13-py3-none-any.whl.metadata (6.8 kB)\n",
            "Requirement already satisfied: pycparser in /usr/local/lib/python3.10/dist-packages (from cffi>=1.0->soundfile>=0.12.0->TTS) (2.22)\n",
            "INFO: pip is looking at multiple versions of contourpy to determine which version is compatible with other requirements. This could take a while.\n",
            "Collecting contourpy>=1.0.1 (from matplotlib>=3.7.0->TTS)\n",
            "  Downloading contourpy-1.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.4 kB)\n",
            "  Downloading contourpy-1.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.8 kB)\n",
            "Requirement already satisfied: tzlocal in /usr/local/lib/python3.10/dist-packages (from dateparser~=1.1.0->gruut==2.2.3->gruut[de,es,fr]==2.2.3->TTS) (5.2)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from Jinja2>=3.1.2->flask>=2.0.1->TTS) (3.0.2)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from jsonlines~=1.2.0->gruut==2.2.3->gruut[de,es,fr]==2.2.3->TTS) (1.17.0)\n",
            "Requirement already satisfied: language-data>=1.2 in /usr/local/lib/python3.10/dist-packages (from langcodes<4.0.0,>=3.2.0->spacy>=3->spacy[ja]>=3->TTS) (1.3.0)\n",
            "Requirement already satisfied: platformdirs>=2.5.0 in /usr/local/lib/python3.10/dist-packages (from pooch>=1.0->librosa>=0.10.0->TTS) (4.3.6)\n",
            "Requirement already satisfied: annotated-types>=0.6.0 in /usr/local/lib/python3.10/dist-packages (from pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4->spacy>=3->spacy[ja]>=3->TTS) (0.7.0)\n",
            "Requirement already satisfied: pydantic-core==2.27.2 in /usr/local/lib/python3.10/dist-packages (from pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4->spacy>=3->spacy[ja]>=3->TTS) (2.27.2)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0,>=2.13.0->spacy>=3->spacy[ja]>=3->TTS) (3.4.1)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0,>=2.13.0->spacy>=3->spacy[ja]>=3->TTS) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0,>=2.13.0->spacy>=3->spacy[ja]>=3->TTS) (2.3.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0,>=2.13.0->spacy>=3->spacy[ja]>=3->TTS) (2024.12.14)\n",
            "Requirement already satisfied: blis<0.8.0,>=0.7.8 in /usr/local/lib/python3.10/dist-packages (from thinc<8.3.0,>=8.2.2->spacy>=3->spacy[ja]>=3->TTS) (0.7.11)\n",
            "Requirement already satisfied: confection<1.0.0,>=0.0.1 in /usr/local/lib/python3.10/dist-packages (from thinc<8.3.0,>=8.2.2->spacy>=3->spacy[ja]>=3->TTS) (0.1.5)\n",
            "Requirement already satisfied: shellingham>=1.3.0 in /usr/local/lib/python3.10/dist-packages (from typer<1.0.0,>=0.3.0->spacy>=3->spacy[ja]>=3->TTS) (1.5.4)\n",
            "Requirement already satisfied: rich>=10.11.0 in /usr/local/lib/python3.10/dist-packages (from typer<1.0.0,>=0.3.0->spacy>=3->spacy[ja]>=3->TTS) (13.9.4)\n",
            "Requirement already satisfied: cloudpathlib<1.0.0,>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from weasel<0.5.0,>=0.1.0->spacy>=3->spacy[ja]>=3->TTS) (0.20.0)\n",
            "Requirement already satisfied: smart-open<8.0.0,>=5.2.1 in /usr/local/lib/python3.10/dist-packages (from weasel<0.5.0,>=0.1.0->spacy>=3->spacy[ja]>=3->TTS) (7.1.0)\n",
            "Requirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.10/dist-packages (from tensorboard->trainer>=0.0.32->TTS) (1.4.0)\n",
            "Requirement already satisfied: grpcio>=1.48.2 in /usr/local/lib/python3.10/dist-packages (from tensorboard->trainer>=0.0.32->TTS) (1.69.0)\n",
            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.10/dist-packages (from tensorboard->trainer>=0.0.32->TTS) (3.7)\n",
            "Requirement already satisfied: protobuf!=4.24.0,>=3.19.6 in /usr/local/lib/python3.10/dist-packages (from tensorboard->trainer>=0.0.32->TTS) (3.20.3)\n",
            "Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from tensorboard->trainer>=0.0.32->TTS) (0.7.2)\n",
            "Requirement already satisfied: marisa-trie>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from language-data>=1.2->langcodes<4.0.0,>=3.2.0->spacy>=3->spacy[ja]>=3->TTS) (1.2.1)\n",
            "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich>=10.11.0->typer<1.0.0,>=0.3.0->spacy>=3->spacy[ja]>=3->TTS) (3.0.0)\n",
            "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich>=10.11.0->typer<1.0.0,>=0.3.0->spacy>=3->spacy[ja]>=3->TTS) (2.18.0)\n",
            "Requirement already satisfied: wrapt in /usr/local/lib/python3.10/dist-packages (from smart-open<8.0.0,>=5.2.1->weasel<0.5.0,>=0.1.0->spacy>=3->spacy[ja]>=3->TTS) (1.17.0)\n",
            "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich>=10.11.0->typer<1.0.0,>=0.3.0->spacy>=3->spacy[ja]>=3->TTS) (0.1.2)\n",
            "Downloading TTS-0.22.0-cp310-cp310-manylinux1_x86_64.whl (938 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m938.0/938.0 kB\u001b[0m \u001b[31m56.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading numpy-1.22.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.8 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m16.8/16.8 MB\u001b[0m \u001b[31m98.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading anyascii-0.3.2-py3-none-any.whl (289 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m289.9/289.9 kB\u001b[0m \u001b[31m24.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading coqpit-0.0.17-py3-none-any.whl (13 kB)\n",
            "Downloading g2pkk-0.1.2-py3-none-any.whl (25 kB)\n",
            "Downloading librosa-0.10.0-py3-none-any.whl (252 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m252.9/252.9 kB\u001b[0m \u001b[31m23.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading matplotlib-3.8.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.6 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.6/11.6 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading num2words-0.5.14-py3-none-any.whl (163 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m163.5/163.5 kB\u001b[0m \u001b[31m15.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading pandas-1.5.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.1 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m12.1/12.1 MB\u001b[0m \u001b[31m30.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading pysbd-0.3.4-py3-none-any.whl (71 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m71.1/71.1 kB\u001b[0m \u001b[31m6.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading scipy-1.11.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (36.4 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m36.4/36.4 MB\u001b[0m \u001b[31m52.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading trainer-0.0.36-py3-none-any.whl (51 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m51.2/51.2 kB\u001b[0m \u001b[31m4.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading umap_learn-0.5.7-py3-none-any.whl (88 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m88.8/88.8 kB\u001b[0m \u001b[31m7.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading bangla-0.0.2-py2.py3-none-any.whl (6.2 kB)\n",
            "Downloading bnunicodenormalizer-0.1.7-py3-none-any.whl (23 kB)\n",
            "Downloading hangul_romanize-0.1.0-py3-none-any.whl (4.6 kB)\n",
            "Downloading jamo-0.4.1-py3-none-any.whl (9.5 kB)\n",
            "Downloading pypinyin-0.53.0-py2.py3-none-any.whl (834 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m834.7/834.7 kB\u001b[0m \u001b[31m53.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading contourpy-1.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (305 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m305.2/305.2 kB\u001b[0m \u001b[31m26.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading dateparser-1.1.8-py2.py3-none-any.whl (293 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m293.8/293.8 kB\u001b[0m \u001b[31m23.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading jsonlines-1.2.0-py2.py3-none-any.whl (7.6 kB)\n",
            "Downloading networkx-2.8.8-py3-none-any.whl (2.0 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.0/2.0 MB\u001b[0m \u001b[31m74.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading pynndescent-0.5.13-py3-none-any.whl (56 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m56.9/56.9 kB\u001b[0m \u001b[31m5.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading python_crfsuite-0.9.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.2/1.2 MB\u001b[0m \u001b[31m65.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading SudachiDict_core-20241021-py3-none-any.whl (72.1 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m72.1/72.1 MB\u001b[0m \u001b[31m10.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading SudachiPy-0.6.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.7/1.7 MB\u001b[0m \u001b[31m75.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hBuilding wheels for collected packages: gruut, encodec, bnnumerizer, docopt, gruut-ipa, gruut_lang_de, gruut_lang_en, gruut_lang_es, gruut_lang_fr\n",
            "  Building wheel for gruut (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for gruut: filename=gruut-2.2.3-py3-none-any.whl size=75788 sha256=4ee4bf36d07798325dd61f75185a82d2f1301508b1c1694f88ac11e81fe83a97\n",
            "  Stored in directory: /root/.cache/pip/wheels/fc/57/a8/f9de532daf5214f53644f20f3a9e6f69269453c87df9c0a817\n",
            "  Building wheel for encodec (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for encodec: filename=encodec-0.1.1-py3-none-any.whl size=45760 sha256=9d2a4145626e37e352d79002ee008a1b6ad27c4972c944fdd9e9094a47c7c1c1\n",
            "  Stored in directory: /root/.cache/pip/wheels/fc/36/cb/81af8b985a5f5e0815312d5e52b41263237af07b977e6bcbf3\n",
            "  Building wheel for bnnumerizer (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for bnnumerizer: filename=bnnumerizer-0.0.2-py3-none-any.whl size=5261 sha256=0238a296da4fc4114503adf78c7a1853e7a0df1053b78562556f38726889666f\n",
            "  Stored in directory: /root/.cache/pip/wheels/59/6b/e8/223172e7d5c9f72df3ea1a0d9258f3a8ab5b28e827728edef5\n",
            "  Building wheel for docopt (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for docopt: filename=docopt-0.6.2-py2.py3-none-any.whl size=13706 sha256=47a9cfa5bc98e47b11bcc7b2eee1546250d925d38f7ead272a0bdd23e21f1660\n",
            "  Stored in directory: /root/.cache/pip/wheels/fc/ab/d4/5da2067ac95b36618c629a5f93f809425700506f72c9732fac\n",
            "  Building wheel for gruut-ipa (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for gruut-ipa: filename=gruut_ipa-0.13.0-py3-none-any.whl size=104873 sha256=8b379d2015d17d8d13f657280e4a1033abad58fe8f890e34dd9dd0aa8b35d382\n",
            "  Stored in directory: /root/.cache/pip/wheels/7b/18/49/e4f500ecdf0babe757953f844e4d7cd1ea81c5503c09bfe984\n",
            "  Building wheel for gruut_lang_de (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for gruut_lang_de: filename=gruut_lang_de-2.0.1-py3-none-any.whl size=18498313 sha256=4e7b7c9c5afb8abec840e9434bb38bf6c0c2e6134e939ccbb600fead7f833850\n",
            "  Stored in directory: /root/.cache/pip/wheels/83/80/5f/775b357ae61d7cb68793327c7470d848715cbc60bb373af8dd\n",
            "  Building wheel for gruut_lang_en (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for gruut_lang_en: filename=gruut_lang_en-2.0.1-py3-none-any.whl size=15326857 sha256=508df2fffe855c7b42b01532cee239ad10d43d96b3cb6b58d2b21f1bd06768d8\n",
            "  Stored in directory: /root/.cache/pip/wheels/64/8d/b7/d484d224facd899ed188e00374f25dd3f19d1a3f53da6517bd\n",
            "  Building wheel for gruut_lang_es (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for gruut_lang_es: filename=gruut_lang_es-2.0.1-py3-none-any.whl size=32173928 sha256=f9c9e807010e9bd1b03752ca2e6906061272c0278a5ed10cee58600cc42ede6f\n",
            "  Stored in directory: /root/.cache/pip/wheels/ab/bd/96/5ddde14e8e6932a96f12c5ab5de62b619d39e2507d7daf5188\n",
            "  Building wheel for gruut_lang_fr (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for gruut_lang_fr: filename=gruut_lang_fr-2.0.2-py3-none-any.whl size=10968766 sha256=b780963fff43e1aa8d502f16e8a8c67e8e6b01560854309f8e52afaa0eaf7bcb\n",
            "  Stored in directory: /root/.cache/pip/wheels/db/21/be/d0436e3f1cf9bf38b9bb9b4a476399c77a1ab19f7172b45e19\n",
            "Successfully built gruut encodec bnnumerizer docopt gruut-ipa gruut_lang_de gruut_lang_en gruut_lang_es gruut_lang_fr\n",
            "Installing collected packages: sudachipy, jamo, hangul-romanize, gruut_lang_fr, gruut_lang_es, gruut_lang_en, gruut_lang_de, docopt, bnunicodenormalizer, bnnumerizer, bangla, sudachidict-core, python-crfsuite, pysbd, pypinyin, numpy, num2words, networkx, jsonlines, gruut-ipa, coqpit, anyascii, scipy, pandas, g2pkk, dateparser, contourpy, trainer, matplotlib, gruut, pynndescent, librosa, encodec, umap-learn, TTS\n",
            "  Attempting uninstall: numpy\n",
            "    Found existing installation: numpy 1.26.4\n",
            "    Uninstalling numpy-1.26.4:\n",
            "      Successfully uninstalled numpy-1.26.4\n",
            "  Attempting uninstall: networkx\n",
            "    Found existing installation: networkx 3.4.2\n",
            "    Uninstalling networkx-3.4.2:\n",
            "      Successfully uninstalled networkx-3.4.2\n",
            "  Attempting uninstall: scipy\n",
            "    Found existing installation: scipy 1.13.1\n",
            "    Uninstalling scipy-1.13.1:\n",
            "      Successfully uninstalled scipy-1.13.1\n",
            "  Attempting uninstall: pandas\n",
            "    Found existing installation: pandas 2.2.2\n",
            "    Uninstalling pandas-2.2.2:\n",
            "      Successfully uninstalled pandas-2.2.2\n",
            "  Attempting uninstall: contourpy\n",
            "    Found existing installation: contourpy 1.3.1\n",
            "    Uninstalling contourpy-1.3.1:\n",
            "      Successfully uninstalled contourpy-1.3.1\n",
            "  Attempting uninstall: matplotlib\n",
            "    Found existing installation: matplotlib 3.10.0\n",
            "    Uninstalling matplotlib-3.10.0:\n",
            "      Successfully uninstalled matplotlib-3.10.0\n",
            "  Attempting uninstall: librosa\n",
            "    Found existing installation: librosa 0.10.2.post1\n",
            "    Uninstalling librosa-0.10.2.post1:\n",
            "      Successfully uninstalled librosa-0.10.2.post1\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "albucore 0.0.19 requires numpy>=1.24.4, but you have numpy 1.22.0 which is incompatible.\n",
            "albumentations 1.4.20 requires numpy>=1.24.4, but you have numpy 1.22.0 which is incompatible.\n",
            "arviz 0.20.0 requires numpy>=1.23.0, but you have numpy 1.22.0 which is incompatible.\n",
            "astropy 6.1.7 requires numpy>=1.23, but you have numpy 1.22.0 which is incompatible.\n",
            "bigframes 1.31.0 requires numpy>=1.24.0, but you have numpy 1.22.0 which is incompatible.\n",
            "chex 0.1.88 requires numpy>=1.24.1, but you have numpy 1.22.0 which is incompatible.\n",
            "cudf-cu12 24.10.1 requires numpy<3.0a0,>=1.23, but you have numpy 1.22.0 which is incompatible.\n",
            "cudf-cu12 24.10.1 requires pandas<2.2.3dev0,>=2.0, but you have pandas 1.5.3 which is incompatible.\n",
            "google-colab 1.0.0 requires pandas==2.2.2, but you have pandas 1.5.3 which is incompatible.\n",
            "ibis-framework 9.2.0 requires numpy<3,>=1.23.2, but you have numpy 1.22.0 which is incompatible.\n",
            "imbalanced-learn 0.13.0 requires numpy<3,>=1.24.3, but you have numpy 1.22.0 which is incompatible.\n",
            "jax 0.4.33 requires numpy>=1.24, but you have numpy 1.22.0 which is incompatible.\n",
            "jaxlib 0.4.33 requires numpy>=1.24, but you have numpy 1.22.0 which is incompatible.\n",
            "langchain 0.3.14 requires numpy<2,>=1.22.4; python_version < \"3.12\", but you have numpy 1.22.0 which is incompatible.\n",
            "mizani 0.13.1 requires numpy>=1.23.5, but you have numpy 1.22.0 which is incompatible.\n",
            "mizani 0.13.1 requires pandas>=2.2.0, but you have pandas 1.5.3 which is incompatible.\n",
            "numexpr 2.10.2 requires numpy>=1.23.0, but you have numpy 1.22.0 which is incompatible.\n",
            "nx-cugraph-cu12 24.10.0 requires networkx>=3.0, but you have networkx 2.8.8 which is incompatible.\n",
            "nx-cugraph-cu12 24.10.0 requires numpy<3.0a0,>=1.23, but you have numpy 1.22.0 which is incompatible.\n",
            "pandas-stubs 2.2.2.240909 requires numpy>=1.23.5, but you have numpy 1.22.0 which is incompatible.\n",
            "plotnine 0.14.5 requires numpy>=1.23.5, but you have numpy 1.22.0 which is incompatible.\n",
            "plotnine 0.14.5 requires pandas>=2.2.0, but you have pandas 1.5.3 which is incompatible.\n",
            "pylibraft-cu12 24.10.0 requires numpy<3.0a0,>=1.23, but you have numpy 1.22.0 which is incompatible.\n",
            "pymc 5.19.1 requires numpy>=1.25.0, but you have numpy 1.22.0 which is incompatible.\n",
            "rmm-cu12 24.10.0 requires numpy<3.0a0,>=1.23, but you have numpy 1.22.0 which is incompatible.\n",
            "scikit-image 0.25.0 requires networkx>=3.0, but you have networkx 2.8.8 which is incompatible.\n",
            "scikit-image 0.25.0 requires numpy>=1.24, but you have numpy 1.22.0 which is incompatible.\n",
            "statsmodels 0.14.4 requires numpy<3,>=1.22.3, but you have numpy 1.22.0 which is incompatible.\n",
            "tensorflow 2.17.1 requires numpy<2.0.0,>=1.23.5; python_version <= \"3.11\", but you have numpy 1.22.0 which is incompatible.\n",
            "xarray 2025.1.0 requires numpy>=1.24, but you have numpy 1.22.0 which is incompatible.\n",
            "xarray 2025.1.0 requires pandas>=2.1, but you have pandas 1.5.3 which is incompatible.\n",
            "xarray-einstats 0.8.0 requires numpy>=1.23, but you have numpy 1.22.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed TTS-0.22.0 anyascii-0.3.2 bangla-0.0.2 bnnumerizer-0.0.2 bnunicodenormalizer-0.1.7 contourpy-1.2.1 coqpit-0.0.17 dateparser-1.1.8 docopt-0.6.2 encodec-0.1.1 g2pkk-0.1.2 gruut-2.2.3 gruut-ipa-0.13.0 gruut_lang_de-2.0.1 gruut_lang_en-2.0.1 gruut_lang_es-2.0.1 gruut_lang_fr-2.0.2 hangul-romanize-0.1.0 jamo-0.4.1 jsonlines-1.2.0 librosa-0.10.0 matplotlib-3.8.4 networkx-2.8.8 num2words-0.5.14 numpy-1.22.0 pandas-1.5.3 pynndescent-0.5.13 pypinyin-0.53.0 pysbd-0.3.4 python-crfsuite-0.9.11 scipy-1.11.4 sudachidict-core-20241021 sudachipy-0.6.10 trainer-0.0.36 umap-learn-0.5.7\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "matplotlib",
                  "mpl_toolkits",
                  "numpy"
                ]
              },
              "id": "87b97536e6034cd0ac997ec9a5cc349b"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found existing installation: bitsandbytes 0.45.0\n",
            "Uninstalling bitsandbytes-0.45.0:\n",
            "  Successfully uninstalled bitsandbytes-0.45.0\n",
            "Collecting bitsandbytes\n",
            "  Using cached bitsandbytes-0.45.0-py3-none-manylinux_2_24_x86_64.whl.metadata (2.9 kB)\n",
            "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from bitsandbytes) (2.5.1+cu121)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from bitsandbytes) (1.22.0)\n",
            "Requirement already satisfied: typing_extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from bitsandbytes) (4.12.2)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (3.16.1)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (2.8.8)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (3.1.5)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (2024.9.0)\n",
            "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (1.13.1)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy==1.13.1->torch->bitsandbytes) (1.3.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch->bitsandbytes) (3.0.2)\n",
            "Using cached bitsandbytes-0.45.0-py3-none-manylinux_2_24_x86_64.whl (69.1 MB)\n",
            "Installing collected packages: bitsandbytes\n",
            "Successfully installed bitsandbytes-0.45.0\n",
            "Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (3.9.1)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from nltk) (8.1.8)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from nltk) (1.4.2)\n",
            "Requirement already satisfied: regex>=2021.8.3 in /usr/local/lib/python3.10/dist-packages (from nltk) (2024.11.6)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from nltk) (4.67.1)\n",
            "Collecting python-dotenv\n",
            "  Downloading python_dotenv-1.0.1-py3-none-any.whl.metadata (23 kB)\n",
            "Downloading python_dotenv-1.0.1-py3-none-any.whl (19 kB)\n",
            "Installing collected packages: python-dotenv\n",
            "Successfully installed python-dotenv-1.0.1\n"
          ]
        }
      ],
      "execution_count": 1
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Import"
      ],
      "metadata": {
        "id": "8b63DJghtprV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from datasets import load_dataset\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "from collections import Counter\n",
        "from trl import SFTTrainer\n",
        "import re\n",
        "from gensim.models.word2vec import Word2Vec\n",
        "import plotly.express as px\n",
        "import random\n",
        "from sklearn.manifold import TSNE\n",
        "from torch.utils.data import Dataset\n",
        "from torch.utils.data import random_split\n",
        "from torch.utils.data import Subset\n",
        "from peft import prepare_model_for_kbit_training, LoraConfig\n",
        "import torch\n",
        "from transformers import (\n",
        "    AutoTokenizer,\n",
        "    AutoModelForCausalLM,\n",
        "    BitsAndBytesConfig,\n",
        "    TrainingArguments,\n",
        "    DataCollatorForSeq2Seq,\n",
        "    AutoModelForSpeechSeq2Seq,\n",
        "    AutoProcessor,\n",
        "    pipeline,\n",
        "    TextStreamer\n",
        ")\n",
        "from peft import AutoPeftModelForCausalLM\n",
        "import pandas as pd\n",
        "from wordcloud import WordCloud\n",
        "import nltk\n",
        "from nltk.translate.bleu_score import sentence_bleu\n",
        "from tabulate import tabulate\n",
        "\n",
        "from unsloth import FastLanguageModel\n",
        "from unsloth.chat_templates import get_chat_template\n",
        "from unsloth.chat_templates import train_on_responses_only\n",
        "from TTS.api import TTS\n",
        "from dotenv import load_dotenv\n",
        "from huggingface_hub import login\n",
        "import os"
      ],
      "metadata": {
        "id": "q_JimYqjjY4S",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:13:05.716458Z",
          "iopub.execute_input": "2025-01-13T17:13:05.716748Z",
          "iopub.status.idle": "2025-01-13T17:13:56.041478Z",
          "shell.execute_reply.started": "2025-01-13T17:13:05.716725Z",
          "shell.execute_reply": "2025-01-13T17:13:56.040781Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "69952044-8282-4bdd-d3ec-f04ac02ada69"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n",
            "🦥 Unsloth Zoo will now patch everything to make training faster!\n"
          ]
        }
      ],
      "execution_count": 2
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Import for audio section"
      ],
      "metadata": {
        "id": "E2DDMWKGSsQ5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from IPython.display import HTML, Audio\n",
        "from google.colab.output import eval_js\n",
        "from base64 import b64decode\n",
        "from scipy.io.wavfile import read as wav_read\n",
        "import io\n",
        "import ffmpeg\n",
        "import scipy\n",
        "import whisper\n",
        "\n",
        "import librosa\n",
        "import soundfile as sf"
      ],
      "metadata": {
        "id": "lkjSoQT4SsQ6",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:13:56.042221Z",
          "iopub.execute_input": "2025-01-13T17:13:56.043009Z",
          "iopub.status.idle": "2025-01-13T17:13:56.124800Z",
          "shell.execute_reply.started": "2025-01-13T17:13:56.042968Z",
          "shell.execute_reply": "2025-01-13T17:13:56.124212Z"
        }
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Hugging Face settings"
      ],
      "metadata": {
        "id": "zcC-cug1tprW"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "In order to carry out operations with Llama and to have authorisations to use it, it is necessary to log in to Hugging Face and make a request to use the template. The HF access token must be saved in an .env file"
      ],
      "metadata": {
        "id": "dtsQ1mTD5KW6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "load_dotenv()\n",
        "login(token=\"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\")"
      ],
      "metadata": {
        "id": "40cASCEmtprW",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:13:56.126706Z",
          "iopub.execute_input": "2025-01-13T17:13:56.126907Z",
          "iopub.status.idle": "2025-01-13T17:13:56.229769Z",
          "shell.execute_reply.started": "2025-01-13T17:13:56.126890Z",
          "shell.execute_reply": "2025-01-13T17:13:56.229177Z"
        }
      },
      "outputs": [],
      "execution_count": 3
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Investigate Dataset"
      ],
      "metadata": {
        "id": "XKL46PcIc21t"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "This dataset, [Medical Meadow](https://huggingface.co/datasets/medalpaca/medical_meadow_medical_flashcards?row=0), includes a deep understanding of basic medical sciences, clinical knowledge, and clinical skills. The embedded flashcards are created and updated by medical students and cover the entirety of this curriculum, addressing subjects such as anatomy, physiology, pathology, pharmacology, and more. These flashcards frequently feature succinct summaries and mnemonics to aid in learning and retention of vital medical concepts."
      ],
      "metadata": {
        "id": "uVAMYeZl5KW7"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "In this section, we analyse the dataset under consideration"
      ],
      "metadata": {
        "id": "OkKpKz_25KW7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Download Medical Meadow dataset from HF\n",
        "ds = load_dataset(\"medalpaca/medical_meadow_medical_flashcards\")\n",
        "\n",
        "# The dataset is composed by just on split: 'train'\n",
        "ds = ds['train']\n",
        "ds"
      ],
      "metadata": {
        "id": "YltBm7i4b0IM",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:13:56.230999Z",
          "iopub.execute_input": "2025-01-13T17:13:56.231185Z",
          "iopub.status.idle": "2025-01-13T17:13:57.804959Z",
          "shell.execute_reply.started": "2025-01-13T17:13:56.231168Z",
          "shell.execute_reply": "2025-01-13T17:13:57.804296Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 182,
          "referenced_widgets": [
            "b13d457a6840420f9e6400940061d27b",
            "f2e930ea643e4e99ab92bd2a5956de3a",
            "f4b093eee6d54d20980dd534db0789a0",
            "5fcf92c1228e4651aef0cb6d528eba4e",
            "6c2e06278a084d7281bc804630e5bfbf",
            "88f51440ef3f49c3b3ca43d4a9276be6",
            "c5eb9d13736a45fcafe9c5e6ef7c0e0e",
            "0db910d448314b419ccd441675196aa6",
            "865594e23ddf4f5cb9310f65b2bb1468",
            "7506fd5e015d4bb294d33b68fcf9c420",
            "bfa763a00291410bb39f5206ff66b8da",
            "5876dcce5ad04878bff343e18f873c24",
            "08f8b2b9a2e14a56b630cb9ddcbd0956",
            "3d4656a8335f44559e657378f8023ec9",
            "a6ff01a91f6c47cbbe14baaf5460c9f3",
            "8ffdeb8b54b14525b1704a0d64649e97",
            "cbc1ebb13de344e2bb223a8414e98293",
            "3165de0517f044cca1000d15a485f79c",
            "8b05d3297bc942b0aea2e2995a4b5030",
            "1e0541a038734413813fbf9a0a786f3e",
            "3b15224cfa81438dabef427448749ddf",
            "12ba3154ce3a4631861ac1a3560d8889",
            "4690dbc5b2a94b6490d7f9ea729e59b6",
            "73d5fdc197c548bc969052a1c3f50ca6",
            "8224b105b2c64379bd1f0b344303bb5b",
            "7f16ace669b74e248c937523d145a295",
            "f9fb4e0992494d57b83d23760bcd2652",
            "d015a52457b4403e9c3e29f9027764b6",
            "9c486c7d022f4d0bbb37923a9f0469a3",
            "a4621897dbb24e4ab47fd78741b0f0ea",
            "53ebe28fda9c48cf8085a5c69f5cf25a",
            "c13e7a01877d40bc90830240c4ce9fd9",
            "11a0593d42b241cbb6178934425b088f"
          ]
        },
        "outputId": "ddbcb27e-5265-44a0-c98e-546a4d66c3c4"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "README.md:   0%|          | 0.00/1.24k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "b13d457a6840420f9e6400940061d27b"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "(…)l_meadow_wikidoc_medical_flashcards.json:   0%|          | 0.00/17.7M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "5876dcce5ad04878bff343e18f873c24"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Generating train split:   0%|          | 0/33955 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "4690dbc5b2a94b6490d7f9ea729e59b6"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Dataset({\n",
              "    features: ['input', 'output', 'instruction'],\n",
              "    num_rows: 33955\n",
              "})"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "execution_count": 4
    },
    {
      "cell_type": "code",
      "source": [
        "# Analyze the dataset: input, output, instruction\n",
        "print(ds.features, \"\\n\")\n",
        "print(\"Instruction:\")\n",
        "print(f\"length: {len(ds['instruction'])}\")\n",
        "print(f\"example: {ds['instruction'][0]} \\n\")\n",
        "\n",
        "print(f\"Input:\")\n",
        "print(f\"length: {len(ds['input'])}\")\n",
        "print(f\"example: {ds['input'][0]} \\n\")\n",
        "\n",
        "print(f\"Output:\")\n",
        "print(f\"length: {len(ds['output'])}\")\n",
        "print(f\"example: {ds['output'][0]} \\n\")"
      ],
      "metadata": {
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:13:57.805826Z",
          "iopub.execute_input": "2025-01-13T17:13:57.806046Z",
          "iopub.status.idle": "2025-01-13T17:13:58.004827Z",
          "shell.execute_reply.started": "2025-01-13T17:13:57.806027Z",
          "shell.execute_reply": "2025-01-13T17:13:58.004123Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8chiR9U-5KW7",
        "outputId": "2c9f48aa-ebea-486a-8e40-240b02f6e3b7"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'input': Value(dtype='string', id=None), 'output': Value(dtype='string', id=None), 'instruction': Value(dtype='string', id=None)} \n",
            "\n",
            "Instruction:\n",
            "length: 33955\n",
            "example: Answer this question truthfully \n",
            "\n",
            "Input:\n",
            "length: 33955\n",
            "example: What is the relationship between very low Mg2+ levels, PTH levels, and Ca2+ levels? \n",
            "\n",
            "Output:\n",
            "length: 33955\n",
            "example: Very low Mg2+ levels correspond to low PTH levels which in turn results in low Ca2+ levels. \n",
            "\n"
          ]
        }
      ],
      "execution_count": 5
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Some plots about the dataset"
      ],
      "metadata": {
        "id": "a9SXu1UFoE4x"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Better usability\n",
        "instructions = ds['instruction']\n",
        "input_phrases = ds['input']\n",
        "output_phrases = ds['output']"
      ],
      "metadata": {
        "id": "nLEtHKtISsQ7",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:13:58.005807Z",
          "iopub.execute_input": "2025-01-13T17:13:58.006105Z",
          "iopub.status.idle": "2025-01-13T17:13:58.129682Z",
          "shell.execute_reply.started": "2025-01-13T17:13:58.006081Z",
          "shell.execute_reply": "2025-01-13T17:13:58.128869Z"
        }
      },
      "outputs": [],
      "execution_count": 6
    },
    {
      "cell_type": "markdown",
      "source": [
        "Plot about the ditribution of instruction's classes (just 1 class for all instances)"
      ],
      "metadata": {
        "id": "TWAxDZ05j1Pj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "%matplotlib inline"
      ],
      "metadata": {
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:13:58.130499Z",
          "iopub.execute_input": "2025-01-13T17:13:58.130753Z",
          "iopub.status.idle": "2025-01-13T17:13:58.142403Z",
          "shell.execute_reply.started": "2025-01-13T17:13:58.130731Z",
          "shell.execute_reply": "2025-01-13T17:13:58.141745Z"
        },
        "id": "JcWFL2CG5KW7"
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Count the frequency of each unique instruction\n",
        "instruction_counts = {instruction: instructions.count(instruction) for instruction in set(instructions)}\n",
        "\n",
        "# Sort the instructions by frequency\n",
        "sorted_instructions = sorted(instruction_counts.items(), key=lambda x: x[1], reverse=True)\n",
        "\n",
        "# Separate the instructions and their counts for plotting\n",
        "sorted_instruction_names = [item[0] for item in sorted_instructions]\n",
        "sorted_instruction_counts = [item[1] for item in sorted_instructions]\n",
        "\n",
        "# Plotting the frequency of instructions\n",
        "plt.figure(figsize=(10, 5))\n",
        "\n",
        "bars = plt.barh(sorted_instruction_names, sorted_instruction_counts, color='skyblue', edgecolor='black', linewidth=1.2)\n",
        "plt.title('Instruction Frequency Distribution')\n",
        "plt.xlabel('Frequency')\n",
        "plt.ylabel('Instruction')\n",
        "\n",
        "# Show the plot\n",
        "plt.tight_layout()\n",
        "plt.savefig(\"instruction_frequency_distribution.png\")\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "4TAMV5DdnRg7",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:13:58.143186Z",
          "iopub.execute_input": "2025-01-13T17:13:58.143500Z",
          "iopub.status.idle": "2025-01-13T17:13:58.464056Z",
          "shell.execute_reply.started": "2025-01-13T17:13:58.143467Z",
          "shell.execute_reply": "2025-01-13T17:13:58.463374Z"
        },
        "outputId": "f52ed3e0-ca1a-4eab-c06c-100a3bf4a487"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1000x500 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "Two plots about the distribution of the lengths of the instances of the input and output sentences"
      ],
      "metadata": {
        "id": "auVHyN0rj-fO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculate the length of each phrase\n",
        "input_lengths = [len(phrase) for phrase in input_phrases]\n",
        "output_lengths = [len(phrase) for phrase in output_phrases]\n",
        "\n",
        "# Define the bins for the length ranges\n",
        "max_input = max(input_lengths)\n",
        "max_output = max(output_lengths)\n",
        "\n",
        "input_bins = [i * max_input / 10 for i in range(1, 11)]\n",
        "output_bins = [i * max_output / 10 for i in range(1, 11)]\n",
        "bin_labels_input = [f'{int(input_bins[i-1])}-{int(input_bins[i])}' for i in range(1, 10)]\n",
        "bin_labels_output = [f'{int(output_bins[i-1])}-{int(output_bins[i])}' for i in range(1, 10)]\n",
        "\n",
        "# Bin the lengths into the categories\n",
        "input_binned = np.digitize(input_lengths, input_bins)  # Categorize based on input lengths\n",
        "output_binned = np.digitize(output_lengths, output_bins)  # Categorize based on output lengths\n",
        "\n",
        "# Count how many phrases fall into each bin\n",
        "input_bin_counts = [sum(input_binned == i) for i in range(1, len(input_bins))]\n",
        "output_bin_counts = [sum(output_binned == i) for i in range(1, len(output_bins))]\n",
        "\n",
        "# Plotting the bar charts\n",
        "plt.figure(figsize=(20, 10))\n",
        "\n",
        "# Plotting the input phrase lengths\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.bar(bin_labels_input, input_bin_counts, color='skyblue', edgecolor='black')\n",
        "plt.title('Input Phrases Length Distribution')\n",
        "plt.xlabel('Length Range')\n",
        "plt.ylabel('Number of Phrases')\n",
        "\n",
        "# Plotting the output phrase lengths\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.bar(bin_labels_output, output_bin_counts, color='skyblue', edgecolor='black')\n",
        "plt.title('Output Phrases Length Distribution')\n",
        "plt.xlabel('Length Range')\n",
        "plt.ylabel('Number of Phrases')\n",
        "\n",
        "# Show the plots\n",
        "plt.tight_layout()\n",
        "plt.savefig(\"sentences_length.png\")\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "d9lEMELsiqIx",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:13:58.464893Z",
          "iopub.execute_input": "2025-01-13T17:13:58.465225Z",
          "iopub.status.idle": "2025-01-13T17:13:59.165218Z",
          "shell.execute_reply.started": "2025-01-13T17:13:58.465191Z",
          "shell.execute_reply": "2025-01-13T17:13:59.164367Z"
        },
        "outputId": "ca293924-3bb1-4383-c256-e7fb7c27d211"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 2000x1000 with 2 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Extra Plot\n",
        "WordCloud to show the most frequent words in input and output set\n"
      ],
      "metadata": {
        "id": "PJljpW-Jc37a"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Join together all words from input set\n",
        "input = ' '.join(input_phrases)\n",
        "\n",
        "# Join together all words from output set\n",
        "output = ' '.join(output_phrases)\n",
        "\n",
        "# Instantiate WC for input and for output\n",
        "wordcloud1 = WordCloud(width=800, height=400, background_color='white').generate(input)\n",
        "wordcloud2 = WordCloud(width=800, height=400, background_color='white').generate(output)\n",
        "\n",
        "# Plotting the bar charts\n",
        "plt.figure(figsize=(20, 10))\n",
        "\n",
        "# Plotting the input words\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.imshow(wordcloud1, interpolation='bilinear')\n",
        "plt.axis('off')\n",
        "plt.title('Question Word Cloud')\n",
        "\n",
        "# Plotting the output words\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.imshow(wordcloud2, interpolation='bilinear')\n",
        "plt.axis('off')\n",
        "plt.title('Answer Word Cloud')\n",
        "\n",
        "# Show\n",
        "plt.tight_layout()\n",
        "plt.savefig(\"question_word_cloud.png\")\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "M5PVKri8c37a",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:13:59.165991Z",
          "iopub.execute_input": "2025-01-13T17:13:59.166267Z",
          "iopub.status.idle": "2025-01-13T17:14:06.697918Z",
          "shell.execute_reply.started": "2025-01-13T17:13:59.166230Z",
          "shell.execute_reply": "2025-01-13T17:14:06.696761Z"
        },
        "outputId": "607b537a-2b34-4407-bf2a-9bed96a42f99"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 2000x1000 with 2 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Word2Vec"
      ],
      "metadata": {
        "id": "f4wIndWS2lyy"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Word2Vec transforms the words in the dataset into numerical vectors based on the context in which they appear in the text, creating dense word representations that capture their semantic and syntactic relationships. In this notebook, we are using it to analyze the words in the dataset and generate graphs that visualize the relationships and similarities between words, providing a visual representation of the linguistic connections within the corpus."
      ],
      "metadata": {
        "id": "bLAHHu8j5KW8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Tokenize with spaces or any non word character\n",
        "tokenized_sentences = [re.sub('\\W', ' ', sentence).lower().split() for sentence in input_phrases]\n",
        "\n",
        "# remove sentences that are only 1 word long\n",
        "tokenized_sentences = [sentence for sentence in tokenized_sentences if len(sentence) > 1]\n",
        "\n",
        "for sentence in tokenized_sentences[:5]:\n",
        "    print(sentence)"
      ],
      "metadata": {
        "id": "HUU3TXC5c37a",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:14:06.698815Z",
          "iopub.execute_input": "2025-01-13T17:14:06.699033Z",
          "iopub.status.idle": "2025-01-13T17:14:06.934847Z",
          "shell.execute_reply.started": "2025-01-13T17:14:06.699015Z",
          "shell.execute_reply": "2025-01-13T17:14:06.934139Z"
        },
        "outputId": "cea9607c-dbf5-4334-f21d-76134017dfc7"
      },
      "outputs": [
        {
          "name": "stdout",
          "text": "['what', 'is', 'the', 'relationship', 'between', 'very', 'low', 'mg2', 'levels', 'pth', 'levels', 'and', 'ca2', 'levels']\n['what', 'leads', 'to', 'genitourinary', 'syndrome', 'of', 'menopause', 'atrophic', 'vaginitis']\n['what', 'does', 'low', 'rem', 'sleep', 'latency', 'and', 'experiencing', 'hallucinations', 'sleep', 'paralysis', 'suggest']\n['what', 'are', 'some', 'possible', 'causes', 'of', 'low', 'pth', 'and', 'high', 'calcium', 'levels']\n['how', 'does', 'the', 'level', 'of', 'anti', 'müllerian', 'hormone', 'relate', 'to', 'ovarian', 'reserve']\n",
          "output_type": "stream"
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Create Word2Vec (ignore words with frequency less than 5)\n",
        "WordModel = Word2Vec(tokenized_sentences, vector_size=30, min_count=5, window=10)"
      ],
      "metadata": {
        "id": "e05BkgN-2lyz",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:14:06.937825Z",
          "iopub.execute_input": "2025-01-13T17:14:06.938031Z",
          "iopub.status.idle": "2025-01-13T17:14:08.714043Z",
          "shell.execute_reply.started": "2025-01-13T17:14:06.938013Z",
          "shell.execute_reply": "2025-01-13T17:14:08.713142Z"
        }
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "sample = random.sample(list(WordModel.wv.key_to_index), 500)\n",
        "word_vectors = WordModel.wv[sample]"
      ],
      "metadata": {
        "id": "blQAYdGr2lyz",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:14:08.715963Z",
          "iopub.execute_input": "2025-01-13T17:14:08.716177Z",
          "iopub.status.idle": "2025-01-13T17:14:08.721763Z",
          "shell.execute_reply.started": "2025-01-13T17:14:08.716157Z",
          "shell.execute_reply": "2025-01-13T17:14:08.721019Z"
        }
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 3D plot with words"
      ],
      "metadata": {
        "id": "CskZCC7a2lyz"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Now we use [t-SNE](https://www.datacamp.com/tutorial/introduction-t-sne) (t-distributed Stochastic Neighbor Embedding) for data exploration and visualizing high-dimensional data."
      ],
      "metadata": {
        "id": "OPSytXCQlGy_"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Visualize a plot with dataset words' in the 3D space"
      ],
      "metadata": {
        "id": "NwSdGIXKlaPm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Apply t-SNE to word vectors\n",
        "tsne = TSNE(n_components=3, n_iter=2000)\n",
        "tsne_embedding = tsne.fit_transform(word_vectors)\n",
        "\n",
        "# Extract individual dimensions\n",
        "x, y, z = np.transpose(tsne_embedding)\n",
        "\n",
        "# Create 3D scatter plot with a subset of the dataset\n",
        "fig = px.scatter_3d(x=x[:200],y=y[:200],z=z[:200],text=sample[:200])\n",
        "# Full dataset\n",
        "# fig = px.scatter_3d(x=x,y=y,z=z,text=sample)\n",
        "fig.update_traces(marker=dict(size=3,line=dict(width=2)),textfont_size=10)\n",
        "fig.show()"
      ],
      "metadata": {
        "id": "_0EGqbEA2lyz",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:26.670668Z",
          "iopub.execute_input": "2025-01-13T17:22:26.670944Z",
          "iopub.status.idle": "2025-01-13T17:22:34.117018Z",
          "shell.execute_reply.started": "2025-01-13T17:22:26.670922Z",
          "shell.execute_reply": "2025-01-13T17:22:34.116158Z"
        },
        "outputId": "1132f91e-637a-4a05-fd1e-7a2e52946f20"
      },
      "outputs": [
        {
          "name": "stderr",
          "text": "/usr/local/lib/python3.10/dist-packages/sklearn/manifold/_t_sne.py:1164: FutureWarning:\n\n'n_iter' was renamed to 'max_iter' in version 1.5 and will be removed in 1.7.\n\n",
          "output_type": "stream"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": "<html>\n<head><meta charset=\"utf-8\" /></head>\n<body>\n    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n        <script charset=\"utf-8\" src=\"https://cdn.plot.ly/plotly-2.35.2.min.js\"></script>                <div id=\"4ab678df-8e28-47db-aeb3-82d57b86f730\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"4ab678df-8e28-47db-aeb3-82d57b86f730\")) {                    Plotly.newPlot(                        \"4ab678df-8e28-47db-aeb3-82d57b86f730\",                        [{\"hovertemplate\":\"x=%{x}\\u003cbr\\u003ey=%{y}\\u003cbr\\u003ez=%{z}\\u003cbr\\u003etext=%{text}\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"legendgroup\":\"\",\"marker\":{\"color\":\"#636efa\",\"symbol\":\"circle\",\"line\":{\"width\":2},\"size\":3},\"mode\":\"markers+text\",\"name\":\"\",\"scene\":\"scene\",\"showlegend\":false,\"text\":[\"mineralization\",\"defined\",\"polyp\",\"inactivated\",\"mediating\",\"enhance\",\"swollen\",\"protect\",\"tibc\",\"il\",\"lambda\",\"pathway\",\"twin\",\"variation\",\"igg\",\"transmitting\",\"splints\",\"disrupted\",\"breaks\",\"et\",\"marie\",\"outflow\",\"multinucleated\",\"trh\",\"unstable\",\"testes\",\"parental\",\"atrioventricular\",\"walker\",\"splanchnic\",\"inducing\",\"skin\",\"ketogenesis\",\"gunshot\",\"conducting\",\"copies\",\"epo\",\"amphotericin\",\"hyperplasia\",\"t\",\"implantation\",\"bnp\",\"releasing\",\"residues\",\"nose\",\"obsessive\",\"hypoxemia\",\"before\",\"opportunistic\",\"intrahepatic\",\"could\",\"gardnerella\",\"hemothorax\",\"syphilis\",\"pneumocytes\",\"peptide\",\"supportive\",\"goodpasture\",\"paradoxus\",\"forced\",\"mortality\",\"ppar\",\"malate\",\"distributive\",\"remain\",\"abnormality\",\"toes\",\"forming\",\"ghon\",\"vaginalis\",\"mr\",\"immunoglobulins\",\"velocity\",\"deep\",\"course\",\"anticoagulation\",\"bell\",\"memory\",\"generation\",\"triangle\",\"basement\",\"heard\",\"aged\",\"audible\",\"meglitinides\",\"pprom\",\"flutter\",\"jc\",\"scleroderma\",\"depletion\",\"depressed\",\"cystitis\",\"hmg\",\"meningitis\",\"etoposide\",\"agonist\",\"total\",\"thrombophlebitis\",\"5fu\",\"sulfonylureas\",\"mcv\",\"serous\",\"anion\",\"dic\",\"diagnosing\",\"acanthosis\",\"endocarditis\",\"splenomegaly\",\"salvage\",\"synthesizes\",\"barrett\",\"composition\",\"pgi2\",\"legionnaires\",\"decompensated\",\"gabapentin\",\"leukocyte\",\"cardiomegaly\",\"pelvis\",\"sulfa\",\"myotonic\",\"phenomenon\",\"proteins\",\"cyclosporine\",\"physiological\",\"maple\",\"uptake\",\"detected\",\"lung\",\"voice\",\"toddler\",\"adenylyl\",\"tracing\",\"atria\",\"21\\u03b2\",\"relative\",\"wet\",\"calculated\",\"demyelination\",\"follicles\",\"responding\",\"atrial\",\"calcaneal\",\"leukoplakia\",\"synovitis\",\"leukotrienes\",\"hysterectomy\",\"empirical\",\"toxin\",\"fibrillation\",\"felt\",\"najjar\",\"tendency\",\"cofactor\",\"topiramate\",\"hypopituitarism\",\"bupropion\",\"iron\",\"lobar\",\"positioning\",\"electrophoresis\",\"csf\",\"cavernous\",\"flexion\",\"endotoxin\",\"sequard\",\"affected\",\"extension\",\"protection\",\"afebrile\",\"oxide\",\"disorders\",\"rates\",\"meet\",\"partial\",\"purple\",\"excessive\",\"paragangliomas\",\"arteriosus\",\"histologically\",\"conservative\",\"depression\",\"hip\",\"venereum\",\"evidence\",\"display\",\"mpo\",\"lynch\",\"limited\",\"dorsum\",\"induration\",\"doses\",\"entire\",\"epilepticus\",\"characterize\",\"treatment\",\"v1\",\"pertussis\",\"larvae\",\"eyelid\"],\"x\":[-6.539900302886963,-7.610690116882324,1.0602285861968994,-4.318500995635986,-0.21115244925022125,-3.5897021293640137,-3.0579874515533447,-2.07759428024292,-1.8749812841415405,6.263032913208008,-2.1308820247650146,-6.848287582397461,1.7511929273605347,-9.33759880065918,-0.8440257906913757,1.414716124534607,-2.812318801879883,-4.00208044052124,1.2295944690704346,2.5559768676757812,-3.7238972187042236,4.4252705574035645,2.009019613265991,-3.903404474258423,-0.30680564045906067,-1.7810338735580444,0.013967773877084255,-3.6240603923797607,2.6764321327209473,1.4109550714492798,3.051161289215088,2.949740409851074,4.58890962600708,1.0578778982162476,0.4558924734592438,3.2585177421569824,-1.6880906820297241,1.275280237197876,-2.6807782649993896,-2.7299258708953857,-1.3492233753204346,-9.942183494567871,0.29879820346832275,2.205369234085083,-5.7493414878845215,-0.338802307844162,4.439035415649414,5.170577526092529,-0.7094185948371887,-0.2751167416572571,5.18192195892334,1.4494928121566772,0.34988608956336975,2.0087108612060547,4.227203845977783,1.7864880561828613,3.562556028366089,-7.394199848175049,2.7676126956939697,4.672770023345947,3.844810724258423,1.0712192058563232,1.6550261974334717,1.1333937644958496,0.2934631407260895,5.255589485168457,-1.3684866428375244,0.15375067293643951,-0.7018394470214844,-3.328716278076172,5.081485271453857,-1.7478450536727905,0.5194314122200012,5.000306606292725,-6.533237934112549,-2.044154167175293,0.9482038617134094,3.3628733158111572,6.270108699798584,-1.7522212266921997,-8.361900329589844,3.1977269649505615,-6.798092842102051,-2.2302517890930176,-1.477064847946167,2.85785174369812,7.883621692657471,1.3244094848632812,3.715926170349121,5.743130683898926,2.4401021003723145,1.9235484600067139,2.808053493499756,2.5844228267669678,-5.682969093322754,1.4927258491516113,0.2235880345106125,-1.8896808624267578,-6.359310626983643,2.264608383178711,-0.3629458546638489,8.319598197937012,1.5786359310150146,5.58453369140625,-2.0673046112060547,-1.7861114740371704,2.24525785446167,6.855506420135498,1.6130985021591187,-1.0447622537612915,1.888025164604187,0.4511871635913849,1.9687644243240356,-7.820658206939697,2.551833391189575,5.4540181159973145,5.5488362312316895,6.455315589904785,-3.8055641651153564,5.075966835021973,-0.36161792278289795,7.724020004272461,0.8261412382125854,-2.18578839302063,-9.264060020446777,-0.2174782156944275,-5.294591903686523,6.129847526550293,-4.696223258972168,-2.571420192718506,-2.4154837131500244,-1.955654263496399,3.3826003074645996,-0.39276111125946045,-0.5573148727416992,2.2799980640411377,5.632300853729248,-5.284119606018066,3.498826503753662,-3.6028521060943604,-2.4516994953155518,0.17565487325191498,4.264289379119873,-5.181805610656738,3.773345708847046,1.8058911561965942,5.93098258972168,-2.3544068336486816,3.895136594772339,2.2989625930786133,-8.542252540588379,-0.8973497748374939,4.664647579193115,3.017610549926758,-1.5187422037124634,-5.731896877288818,3.736091136932373,3.560138463973999,5.753920555114746,-2.6021242141723633,0.2078888714313507,6.196065425872803,-3.183013677597046,-5.36952018737793,2.6812334060668945,-2.271162748336792,-1.8511545658111572,4.148412704467773,-0.1972818523645401,-0.5997905731201172,0.21390050649642944,0.44824525713920593,-3.696139097213745,0.39446839690208435,0.16814497113227844,2.994821310043335,-4.641958236694336,0.8258499503135681,-4.551030158996582,5.9231858253479,-2.495868682861328,1.749707818031311,5.805646896362305,-1.0374099016189575,-3.059504985809326,-1.962738275527954,-1.423317790031433,-0.4369688034057617,0.5090867280960083,4.555329322814941,-2.7143638134002686,3.786287784576416,1.4709917306900024,0.969327986240387,2.165714979171753,5.537482261657715,0.5747060179710388,2.3497474193573,1.856489658355713,-3.167879343032837],\"y\":[2.345885753631592,-0.7091786861419678,-2.2221169471740723,0.5673217177391052,-0.9800174832344055,0.8929079174995422,1.7167719602584839,3.6304829120635986,-3.2314517498016357,-1.8793165683746338,-3.361285924911499,1.9548319578170776,-2.1948280334472656,1.1738762855529785,1.1623246669769287,0.7317719459533691,0.41477450728416443,2.2847330570220947,-4.955690860748291,-1.6676080226898193,0.936340868473053,-0.37482884526252747,2.4004228115081787,0.8275047540664673,1.5716887712478638,-0.37850967049598694,-0.6385970711708069,0.24372532963752747,-1.7837878465652466,-1.2332097291946411,2.442521095275879,-1.3118705749511719,1.1661454439163208,4.856941223144531,-0.9142201542854309,-2.796217918395996,-0.846052348613739,-4.0391926765441895,-2.578298807144165,3.764539957046509,4.973485469818115,1.3333295583724976,-2.541720390319824,-0.9258190393447876,0.4488283395767212,-1.3396159410476685,-4.4548258781433105,0.8843318223953247,-4.157162666320801,-2.436133623123169,1.1468098163604736,0.5219777822494507,-1.039686918258667,1.4426873922348022,-4.11950159072876,4.805935382843018,1.2900432348251343,0.12404940277338028,0.37749183177948,3.838502883911133,-0.15295858681201935,-1.224446177482605,-4.116596698760986,0.26452526450157166,2.0431509017944336,-0.6966174840927124,0.07074163109064102,4.897745132446289,-0.5193321704864502,2.3760151863098145,-1.3390254974365234,0.8698185086250305,-1.4803271293640137,-1.3818527460098267,2.623426914215088,-0.630889892578125,-1.3451069593429565,-1.924031376838684,0.7360199093818665,-2.2237305641174316,-2.0926127433776855,0.047680046409368515,1.9655168056488037,-3.3953304290771484,-2.312697410583496,-5.394509792327881,-3.265509605407715,-1.4648895263671875,-4.839475631713867,-0.3152342140674591,3.710068464279175,-2.7530159950256348,-4.924511909484863,0.5117729902267456,1.013895034790039,2.299259662628174,-0.02363666333258152,2.030299425125122,-1.1601749658584595,1.130646824836731,-1.9130417108535767,-3.387016773223877,-4.806876182556152,-2.1680712699890137,-3.343252658843994,-0.013189767487347126,0.24154631793498993,0.48448628187179565,2.30232834815979,-3.3243699073791504,1.2861169576644897,0.04185783118009567,4.11758279800415,2.837096929550171,-0.011661314405500889,1.9205738306045532,-4.854883670806885,-1.3966776132583618,1.085868239402771,-4.708183288574219,-2.432371139526367,-1.229166865348816,2.802994728088379,3.510957717895508,0.5095826983451843,0.30649980902671814,1.202752709388733,-5.740386962890625,-0.7821948528289795,-5.721419811248779,4.737661361694336,-3.1705305576324463,-2.85410475730896,0.874518871307373,-3.9851341247558594,-1.2855819463729858,-0.2600444257259369,0.7318935394287109,3.9069817066192627,-2.454068183898926,-5.372739315032959,-2.7232506275177,-2.966399669647217,-1.854345440864563,-1.930815577507019,2.1690428256988525,0.15293435752391815,1.3414976596832275,-5.272929668426514,0.8825044631958008,1.362580418586731,-3.4277358055114746,-4.0602240562438965,1.6281079053878784,-2.3570501804351807,1.999276041984558,2.579864263534546,4.208434104919434,-0.19096291065216064,4.051582336425781,-5.214844226837158,-2.3267982006073,-3.4335529804229736,-0.6356016993522644,2.911566972732544,-3.668131113052368,1.0294947624206543,2.7586264610290527,4.875377178192139,-2.6669209003448486,2.1431374549865723,-3.261087656021118,0.07805288583040237,5.069361209869385,-4.9341254234313965,-1.604467511177063,-0.5170838236808777,-2.3668031692504883,-0.31350818276405334,-0.247163325548172,0.6989933848381042,2.3601834774017334,-0.3949516713619232,-3.590574264526367,-3.319366693496704,-0.6834374070167542,-3.3060708045959473,-2.0973432064056396,1.4354701042175293,2.6769039630889893,-0.8063743710517883,-0.4565829634666443,-2.929823875427246,-1.4619872570037842,0.7673805356025696,0.3097299039363861,5.636928081512451,1.2174923419952393,-0.49144700169563293,2.382554054260254],\"z\":[4.328798294067383,6.582820892333984,-4.750846862792969,8.291176795959473,-3.6568660736083984,1.7850600481033325,-0.6845576167106628,-1.0367109775543213,3.3936033248901367,-5.390838623046875,-1.286474585533142,3.7131760120391846,-6.349541187286377,3.7371633052825928,5.611931324005127,-0.4120996296405792,4.108928203582764,0.3126351833343506,-1.9940435886383057,-5.216972827911377,0.4384382665157318,-5.734925746917725,1.5385810136795044,1.917689323425293,-3.2000184059143066,-3.4594342708587646,7.02694034576416,1.8694320917129517,1.5857032537460327,-0.3403305113315582,-0.15004973113536835,-7.085150718688965,-6.183912754058838,6.4584126472473145,-6.903886795043945,-5.0043253898620605,-5.446091175079346,-1.7411448955535889,-0.08530198037624359,-0.7518755197525024,6.074796199798584,5.9689178466796875,-1.4930334091186523,-5.379933834075928,3.7191882133483887,-5.499557018280029,-5.0971245765686035,1.0145344734191895,-0.25388526916503906,8.515907287597656,-1.8584076166152954,-0.17939743399620056,8.182525634765625,1.771697998046875,-5.183786869049072,3.2992873191833496,-8.20777416229248,5.331567764282227,1.590815544128418,0.6943740844726562,-2.718759059906006,-2.299316644668579,2.118441104888916,-6.616720199584961,-5.817036151885986,-2.8837523460388184,3.8057382106781006,5.774323463439941,-2.1648080348968506,-1.1512342691421509,-6.609156608581543,5.750539779663086,1.4553699493408203,-8.378829956054688,4.75340461730957,7.00131368637085,7.038288116455078,1.469028115272522,-6.743439197540283,3.3604862689971924,3.673905372619629,-8.594615936279297,3.8454363346099854,5.008370399475098,7.837881088256836,-1.2117193937301636,-5.528357982635498,4.421440601348877,-4.043262958526611,-6.593259334564209,0.9221163988113403,-2.901522636413574,-0.6768484711647034,2.596008062362671,1.6494522094726562,6.155643463134766,-0.5948849320411682,2.2941808700561523,7.086727142333984,-2.411240339279175,-0.49567046761512756,-5.5495476722717285,-5.4083333015441895,-4.956272602081299,1.6121909618377686,5.843576908111572,6.62303352355957,-7.267547130584717,6.345025539398193,3.2415695190429688,-6.86538553237915,-5.477306365966797,-1.068631649017334,1.9258646965026855,-7.098575592041016,-6.009673595428467,-6.026434898376465,-5.628245830535889,4.308034420013428,-6.377871990203857,-0.9205014109611511,-5.504188537597656,-0.43544381856918335,3.0181334018707275,4.338872909545898,-2.1243014335632324,4.357586860656738,-6.852579593658447,0.4092212915420532,1.941685438156128,6.856398582458496,3.781869888305664,-4.7021942138671875,-5.65874719619751,-0.6570499539375305,-6.8288445472717285,-2.923229694366455,6.710343837738037,-0.7001011967658997,1.1435614824295044,1.1592777967453003,-7.479269504547119,-6.584019184112549,7.5185041427612305,-4.296356201171875,-0.7680321931838989,-7.107327938079834,-1.581657886505127,-7.547524452209473,1.3173636198043823,3.3609087467193604,5.431585311889648,-7.186883926391602,0.34289446473121643,-5.031107425689697,2.2229392528533936,2.3547022342681885,-0.594577968120575,-4.5078582763671875,6.845999240875244,0.5588132739067078,-4.506247520446777,2.459893226623535,5.48777437210083,-1.1744133234024048,3.34774112701416,-1.0596545934677124,-3.3993887901306152,7.693851947784424,1.1060255765914917,-1.8288812637329102,4.085853576660156,1.283052682876587,6.084332466125488,-3.0134456157684326,1.7349404096603394,6.857698917388916,-2.056100368499756,6.535653114318848,-7.012855529785156,5.553941249847412,-3.227546215057373,0.9877848625183105,6.466625213623047,6.80606746673584,2.360931634902954,5.346121788024902,-2.1959424018859863,-1.5507707595825195,-3.1584203243255615,5.0408501625061035,-8.569246292114258,1.3149654865264893,5.323944091796875,-4.258965969085693,0.509552001953125,2.559328556060791,7.011517524719238,-7.96144962310791,3.088069200515747],\"type\":\"scatter3d\",\"textfont\":{\"size\":10}}],                        {\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"mesh3d\":[{\"type\":\"mesh3d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"parcoords\":[{\"type\":\"parcoords\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolargl\":[{\"type\":\"scatterpolargl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"scattergeo\":[{\"type\":\"scattergeo\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolar\":[{\"type\":\"scatterpolar\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"scattergl\":[{\"type\":\"scattergl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatter3d\":[{\"type\":\"scatter3d\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattermapbox\":[{\"type\":\"scattermapbox\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterternary\":[{\"type\":\"scatterternary\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattercarpet\":[{\"type\":\"scattercarpet\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}]},\"layout\":{\"autotypenumbers\":\"strict\",\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"hovermode\":\"closest\",\"hoverlabel\":{\"align\":\"left\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"bgcolor\":\"#E5ECF6\",\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"ternary\":{\"bgcolor\":\"#E5ECF6\",\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]]},\"xaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"yaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"geo\":{\"bgcolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"subunitcolor\":\"white\",\"showland\":true,\"showlakes\":true,\"lakecolor\":\"white\"},\"title\":{\"x\":0.05},\"mapbox\":{\"style\":\"light\"}}},\"scene\":{\"domain\":{\"x\":[0.0,1.0],\"y\":[0.0,1.0]},\"xaxis\":{\"title\":{\"text\":\"x\"}},\"yaxis\":{\"title\":{\"text\":\"y\"}},\"zaxis\":{\"title\":{\"text\":\"z\"}}},\"legend\":{\"tracegroupgap\":0},\"margin\":{\"t\":60}},                        {\"responsive\": true}                    ).then(function(){\n                            \nvar gd = document.getElementById('4ab678df-8e28-47db-aeb3-82d57b86f730');\nvar x = new MutationObserver(function (mutations, observer) {{\n        var display = window.getComputedStyle(gd).display;\n        if (!display || display === 'none') {{\n            console.log([gd, 'removed!']);\n            Plotly.purge(gd);\n            observer.disconnect();\n        }}\n}});\n\n// Listen for the removal of the full notebook cells\nvar notebookContainer = gd.closest('#notebook-container');\nif (notebookContainer) {{\n    x.observe(notebookContainer, {childList: true});\n}}\n\n// Listen for the clearing of the current output cell\nvar outputEl = gd.closest('.output');\nif (outputEl) {{\n    x.observe(outputEl, {childList: true});\n}}\n\n                        })                };                            </script>        </div>\n</body>\n</html>"
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "Here's a question of the dataset: \"What is the relationship between very low Mg2+ levels, PTH levels, and Ca2+ levels?\" now we want to see if Mg2 and Ca2 are close in the 3D space."
      ],
      "metadata": {
        "id": "vh_SImyT5KW9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "first_question = ['mg2', 'ca2']\n",
        "\n",
        "word_vectors = WordModel.wv[first_question+sample]\n",
        "\n",
        "tsne = TSNE(n_components=3)\n",
        "tsne_embedding = tsne.fit_transform(word_vectors)\n",
        "\n",
        "x, y, z = np.transpose(tsne_embedding)"
      ],
      "metadata": {
        "id": "ruxbKZBt2lyz",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:34.118185Z",
          "iopub.execute_input": "2025-01-13T17:22:34.118423Z",
          "iopub.status.idle": "2025-01-13T17:22:38.523314Z",
          "shell.execute_reply.started": "2025-01-13T17:22:34.118403Z",
          "shell.execute_reply": "2025-01-13T17:22:38.522621Z"
        }
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "r = (-30,30)\n",
        "fig = px.scatter_3d(x=x, y=y, z=z, range_x=r, range_y=r, range_z=r, text=first_question + [None] * 500)\n",
        "fig.update_traces(marker=dict(size=3,line=dict(width=2)),textfont_size=10)\n",
        "fig.show()"
      ],
      "metadata": {
        "id": "Cem4IiRb2lyz",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:38.525251Z",
          "iopub.execute_input": "2025-01-13T17:22:38.525540Z",
          "iopub.status.idle": "2025-01-13T17:22:38.572773Z",
          "shell.execute_reply.started": "2025-01-13T17:22:38.525519Z",
          "shell.execute_reply": "2025-01-13T17:22:38.571906Z"
        },
        "outputId": "d460791f-0663-4991-a9d3-7b71cf141a35"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": "<html>\n<head><meta charset=\"utf-8\" /></head>\n<body>\n    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n        <script charset=\"utf-8\" src=\"https://cdn.plot.ly/plotly-2.35.2.min.js\"></script>                <div id=\"22854378-4375-4484-a1b0-91c4ea3ba032\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"22854378-4375-4484-a1b0-91c4ea3ba032\")) {                    Plotly.newPlot(                        \"22854378-4375-4484-a1b0-91c4ea3ba032\",                        [{\"hovertemplate\":\"x=%{x}\\u003cbr\\u003ey=%{y}\\u003cbr\\u003ez=%{z}\\u003cbr\\u003etext=%{text}\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"legendgroup\":\"\",\"marker\":{\"color\":\"#636efa\",\"symbol\":\"circle\",\"line\":{\"width\":2},\"size\":3},\"mode\":\"markers+text\",\"name\":\"\",\"scene\":\"scene\",\"showlegend\":false,\"text\":[\"mg2\",\"ca2\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],\"x\":[-5.2697014808654785,-8.418997764587402,1.6893067359924316,-6.648516654968262,1.2157909870147705,-2.549294948577881,-0.6672412753105164,1.076142430305481,-3.6133508682250977,5.600121974945068,-2.2802562713623047,-5.400591850280762,2.794095993041992,-6.778439521789551,-2.7784228324890137,1.3496609926223755,-3.952557325363159,-1.587470293045044,-0.925850510597229,3.1234164237976074,-2.384207248687744,5.41569185256958,1.3508851528167725,-2.7911555767059326,2.650043487548828,0.335292249917984,-3.450153350830078,-3.031026601791382,-0.06261269003152847,0.7346553802490234,2.961639404296875,4.381799697875977,6.593185901641846,-1.3170307874679565,2.895839214324951,3.046626091003418,1.1833503246307373,-0.3328617811203003,-3.361974000930786,0.5752711892127991,-1.5695403814315796,-7.295490741729736,-0.41456735134124756,3.3595924377441406,-5.355897903442383,1.4742223024368286,2.70145845413208,3.327841281890869,-2.7017600536346436,-5.940584182739258,4.762426376342773,1.0441222190856934,-4.146402359008789,0.83181232213974,2.721043586730957,1.2566629648208618,5.51404333114624,-7.2978739738464355,1.3302565813064575,4.376306056976318,3.822049379348755,1.1379672288894653,-2.712846517562866,3.819880723953247,3.4882748126983643,4.874363422393799,-3.552389144897461,-1.0047218799591064,0.33114320039749146,-0.010995883494615555,5.605786323547363,-3.8087198734283447,-0.789107084274292,6.393930435180664,-5.5465168952941895,-5.38950777053833,-3.7844600677490234,0.3046797513961792,7.748411178588867,-3.0618064403533936,-8.841313362121582,6.1705145835876465,-5.412332057952881,-4.715001583099365,-5.640130519866943,-0.6527915000915527,4.974586486816406,-6.049417495727539,2.698982000350952,6.676972389221191,2.5102956295013428,0.9564709067344666,-0.6706090569496155,0.4448120594024658,-4.101539611816406,-0.510652482509613,0.4589686095714569,-1.0773088932037354,-8.155029296875,3.3474929332733154,-1.0275051593780518,5.172453880310059,0.8734754323959351,4.971686363220215,-3.404125213623047,-3.965498208999634,-1.6829547882080078,8.124488830566406,-0.6032750010490417,-3.071744918823242,5.204566478729248,2.8680408000946045,4.047725200653076,-4.264285087585449,4.919510364532471,7.6748504638671875,4.8700995445251465,6.077785491943359,-4.611614227294922,4.64035701751709,-1.0449838638305664,6.910799503326416,1.9883860349655151,-1.0548392534255981,-7.503894329071045,1.0687828063964844,-5.5275750160217285,4.842325210571289,-4.831968307495117,-1.2467280626296997,-2.6239895820617676,-3.8709492683410645,2.8502554893493652,2.589303970336914,-2.411022186279297,3.872046709060669,5.37807035446167,-7.244521141052246,4.108876705169678,-4.7755937576293945,-1.1342049837112427,2.059194564819336,4.008552074432373,-7.981656551361084,3.421538829803467,2.50693416595459,7.234230041503906,0.16608741879463196,3.3230466842651367,1.353696346282959,-6.149339199066162,-3.999770402908325,4.317783832550049,2.4513232707977295,0.10828472673892975,-4.372638702392578,0.34277573227882385,4.27016019821167,5.9637064933776855,-3.20743989944458,-2.993387222290039,4.925473213195801,-4.604044437408447,-5.933678150177002,3.4387850761413574,-4.1221418380737305,-0.00910139735788107,5.778855800628662,-2.1224348545074463,-1.5092476606369019,2.126392126083374,-2.2340896129608154,-3.2400546073913574,-1.0603927373886108,-1.206467628479004,0.20621661841869354,-6.7374467849731445,0.11474588513374329,-6.564809799194336,7.016940593719482,-4.372317314147949,3.9161694049835205,3.063624143600464,-4.449707508087158,-5.006929874420166,-2.742781162261963,-4.11387825012207,-0.32381144165992737,1.8617286682128906,5.845419883728027,-4.091797351837158,6.275761127471924,-1.3786004781723022,-6.40914249420166,3.793445587158203,3.4959020614624023,1.887901782989502,-1.1106939315795898,4.440108776092529,-2.079802989959717,5.770431041717529,4.258779525756836,0.31123074889183044,-4.773811340332031,2.3339250087738037,5.6033196449279785,5.388744831085205,5.428233623504639,3.9194118976593018,-0.3979320228099823,5.3013105392456055,-0.31781303882598877,-8.957072257995605,-1.7775472402572632,3.902085781097412,1.4476085901260376,0.9583091735839844,-5.435097694396973,5.941511154174805,-6.696213722229004,-5.7593183517456055,-2.18670654296875,1.5708162784576416,2.0000030994415283,-0.19684872031211853,7.348550796508789,7.162675380706787,-7.596449851989746,1.271321177482605,-2.221977472305298,-8.904035568237305,-1.9393725395202637,-0.6992456316947937,7.161115646362305,6.778524875640869,-5.352166652679443,-0.6216150522232056,4.925370693206787,2.0127482414245605,2.1986796855926514,-1.9060050249099731,4.517949104309082,-3.0314230918884277,5.31789493560791,8.297971725463867,3.877692222595215,-3.9028055667877197,3.121612071990967,1.5266196727752686,-6.959893703460693,-2.310736894607544,5.607213973999023,-3.0484671592712402,-5.477205753326416,0.32266372442245483,-4.469277381896973,-3.925765037536621,-4.154000759124756,2.159099578857422,-3.9393320083618164,3.272228956222534,5.838744163513184,7.670540809631348,4.374602317810059,-7.476474285125732,-5.413250923156738,-5.957414150238037,6.365580081939697,-4.9419989585876465,4.1762895584106445,-2.3484320640563965,3.9735419750213623,-3.2691874504089355,-1.6563968658447266,-6.731879234313965,-5.48555850982666,1.6063768863677979,3.326932907104492,-2.0455775260925293,0.058531638234853745,4.327570915222168,-4.522578716278076,1.8188003301620483,-0.45101413130760193,1.4558621644973755,2.265212297439575,-7.167788028717041,0.8616465330123901,5.441742420196533,1.9241682291030884,-3.6965858936309814,-7.020325183868408,2.14217209815979,1.0955735445022583,-1.4060606956481934,4.909992218017578,4.935198783874512,1.2006666660308838,0.6198275685310364,1.6484525203704834,-5.332962989807129,-3.9042093753814697,-0.10119620710611343,1.7382895946502686,4.044740200042725,-4.907530307769775,6.092446327209473,-2.027798891067505,1.251981496810913,-4.647404193878174,3.6036148071289062,-0.4491159915924072,-8.220120429992676,1.7665138244628906,0.04692170023918152,-7.578591346740723,3.871616840362549,-3.059796094894409,2.0389983654022217,1.599678635597229,3.2825870513916016,0.7513095140457153,-1.7179193496704102,-7.593287944793701,4.013936996459961,2.3914244174957275,2.694967269897461,-0.27930060029029846,2.8621532917022705,-1.9796026945114136,-1.8680368661880493,-6.252537727355957,3.6555025577545166,-1.1006108522415161,-7.416988372802734,1.7268990278244019,-2.080949068069458,6.8809494972229,-6.426740646362305,0.5880351066589355,-1.2062134742736816,1.742831826210022,2.4503157138824463,-1.9793740510940552,-1.7404823303222656,0.7590314745903015,-6.615036964416504,4.237607002258301,-7.683827877044678,3.376375436782837,0.415603369474411,-0.5168759822845459,2.219193458557129,0.3006889224052429,0.05646178871393204,-4.381744384765625,-2.2752859592437744,-1.6171963214874268,-8.588512420654297,3.940885543823242,-4.255157470703125,-5.883469104766846,-6.760621547698975,-2.888211727142334,1.2796263694763184,6.582479476928711,8.241143226623535,-2.8343963623046875,1.056276559829712,2.1372897624969482,0.5048545598983765,-7.720208168029785,3.001451015472412,5.445329189300537,1.102867603302002,-3.176805019378662,-3.8416666984558105,-2.697868824005127,2.423508405685425,-7.630301475524902,-1.5674753189086914,0.9575753211975098,-1.722135305404663,3.1417179107666016,1.2896604537963867,5.931934356689453,3.052567720413208,-1.824168086051941,-0.7876520156860352,-1.4855279922485352,2.062199831008911,2.445978879928589,1.011837124824524,0.7821545004844666,-8.514439582824707,1.713143229484558,-4.152987003326416,2.001511335372925,-7.043992042541504,6.13573694229126,3.95444917678833,-0.3262951672077179,0.05717732012271881,-5.236253261566162,-1.1070356369018555,-1.8604745864868164,-5.77634334564209,2.6277546882629395,-3.5242457389831543,-3.867194890975952,-1.5511943101882935,3.042444944381714,4.473802089691162,-2.247065544128418,5.607784748077393,2.5910606384277344,1.7607179880142212,-2.36794114112854,-1.9305261373519897,7.964249134063721,2.9546806812286377,-3.694941759109497,2.243828773498535,6.006957530975342,3.340648651123047,-8.502215385437012,-1.625267505645752,-6.626481533050537,6.1970295906066895,7.1609086990356445,-1.9935979843139648,3.0356781482696533,6.0962443351745605,6.929485321044922,4.761410713195801,-2.2185823917388916,-1.5895228385925293,4.406205654144287,-2.3803462982177734,-5.134716987609863,2.087735414505005,0.4658645689487457,-1.0286839008331299,-7.267289161682129,-0.4314408004283905,7.12903356552124,5.885445594787598,-2.0611698627471924,1.9497345685958862,2.6970465183258057,3.373819351196289,0.5400514006614685,-6.211197376251221,-3.098362445831299,-4.13286828994751,-5.292871475219727,-1.5885612964630127,-3.2712955474853516,-0.9179666638374329,-3.873377561569214,7.624260902404785,4.467823028564453,8.388681411743164,-0.6523758769035339,-4.1235480308532715,6.339367866516113,-8.684052467346191,-2.4824059009552,2.962587833404541,5.933084964752197,3.5145156383514404,2.130204677581787,-0.7499657869338989,-1.3419514894485474,1.6331202983856201,-4.243698596954346,2.2454991340637207,-5.116690635681152,1.2282538414001465,-2.1369552612304688,-2.207512140274048,-4.125992774963379,-6.095738410949707,-5.6564202308654785,-5.955626487731934,1.5968077182769775,-4.709172248840332,-0.23344238102436066,5.293731689453125,-0.8158221244812012,2.4880945682525635,-7.15557336807251,5.7429022789001465,-5.586219787597656,6.351165294647217,-0.3306563198566437,0.26755180954933167,4.497361183166504,-4.131301403045654,1.0978708267211914,-0.11301586776971817,1.7784878015518188],\"y\":[3.823716402053833,2.7739291191101074,0.706869900226593,0.42018812894821167,1.8188800811767578,2.912381887435913,4.2004570960998535,3.9005188941955566,-1.460310697555542,-2.403136730194092,1.6797761917114258,4.645196914672852,1.076572299003601,5.946893692016602,-0.914848804473877,-0.30413395166397095,1.2697622776031494,4.724327564239502,-1.5925673246383667,0.18637801706790924,3.725243091583252,-0.18600286543369293,-1.2169716358184814,3.0969715118408203,2.931218385696411,3.209005355834961,-3.5561881065368652,2.6718740463256836,-3.4914422035217285,-1.7430601119995117,-0.6681151390075684,1.0085177421569824,0.6514322757720947,-2.027859926223755,2.1813693046569824,-1.0040546655654907,3.8565993309020996,-1.376469373703003,1.4385961294174194,4.065319538116455,0.2778913378715515,5.194291114807129,0.09269554913043976,0.8612170219421387,3.4010677337646484,2.6069986820220947,-1.4621506929397583,-3.7342586517333984,-0.32479026913642883,-4.554574966430664,-1.9533953666687012,-0.5019420385360718,-4.556650161743164,-1.7427669763565063,-1.0955864191055298,-0.7864683866500854,1.9225660562515259,3.510901927947998,-2.631459951400757,-1.743101954460144,-0.6977158784866333,0.20025141537189484,-3.3678877353668213,3.074873924255371,-3.2440378665924072,-1.743897795677185,0.7038852572441101,-1.0698347091674805,2.0830111503601074,4.729698181152344,-0.7505800724029541,-0.48568782210350037,-1.8156778812408447,0.11072888970375061,3.8424625396728516,-1.0067716836929321,-4.899561882019043,-3.9220199584960938,-0.4099273383617401,-0.8766452074050903,4.708043575286865,2.1867856979370117,4.5300750732421875,-2.6218032836914062,-3.373716115951538,-3.274566888809204,-3.655193328857422,-1.5793646574020386,-2.580312728881836,-0.7103495597839355,-0.28200840950012207,-0.18849565088748932,-3.1155014038085938,-2.9870927333831787,4.423708438873291,-2.9151010513305664,1.8932836055755615,2.343780279159546,1.4354050159454346,0.47699403762817383,0.7121718525886536,-4.228027820587158,-0.5342762470245361,-1.9904918670654297,-0.02872941829264164,-0.8732810616493225,-4.836797714233398,-0.8014015555381775,-3.1077637672424316,-1.79414963722229,2.71397066116333,2.949979782104492,0.9794604182243347,5.810119152069092,1.8427337408065796,0.4564644992351532,-1.8288519382476807,-2.354266881942749,1.7874119281768799,-1.740454077720642,0.530476450920105,-3.12599778175354,1.0762484073638916,2.2616803646087646,5.466804027557373,2.1781656742095947,2.781287908554077,-0.3581819534301758,3.3824784755706787,-0.4265921115875244,0.8519467711448669,-1.6174540519714355,-1.5606001615524292,4.001266002655029,-0.153908833861351,1.3594367504119873,-1.6687804460525513,1.5729295015335083,0.06307883560657501,1.027603268623352,0.08488842844963074,2.592780113220215,-2.0505530834198,0.06294012814760208,-0.9758517146110535,0.2512034773826599,-0.2870175242424011,3.934799909591675,-2.472177743911743,-1.9313061237335205,5.57113790512085,-3.027726411819458,-1.195669412612915,-1.4377561807632446,2.9118635654449463,5.2173752784729,-0.22904624044895172,-0.011574174277484417,-1.3555781841278076,0.9006744027137756,-1.6233171224594116,-2.769473075866699,-0.7793567180633545,1.8886232376098633,0.04603010416030884,-1.6154084205627441,3.2770309448242188,0.3615128993988037,-1.1450556516647339,-0.9136532545089722,2.169005870819092,-3.0742857456207275,2.8204848766326904,-1.3192464113235474,-0.3694301247596741,-3.7527031898498535,0.7156668901443481,0.10557255893945694,0.879910945892334,-0.5783368945121765,-0.04108656942844391,1.7612905502319336,-4.743642807006836,-2.962101936340332,-2.1472182273864746,0.7189817428588867,-2.7097790241241455,1.1038122177124023,1.3683557510375977,-0.08493153005838394,0.24912679195404053,1.5571831464767456,-2.778502941131592,-1.1711832284927368,2.0869343280792236,-3.9810707569122314,0.8990312218666077,-4.446472644805908,2.6508734226226807,2.754396438598633,0.019707107916474342,-1.5238865613937378,-5.034976959228516,-2.083878517150879,-0.7734447717666626,-2.134662389755249,3.099269390106201,-2.9058821201324463,1.4741519689559937,-2.1459853649139404,1.2279828786849976,0.5997249484062195,1.1570143699645996,4.445641040802002,0.7406684756278992,-2.114993095397949,-0.6165735721588135,-1.876788854598999,-1.5943719148635864,0.4848381280899048,-2.771639108657837,-0.6431829929351807,4.756603240966797,2.3717074394226074,5.451125144958496,-2.9962515830993652,-1.520338773727417,0.5917476415634155,-0.04260515794157982,-1.7080141305923462,4.675358772277832,0.845531165599823,-0.44419917464256287,-0.6108865141868591,-3.126985788345337,4.449765205383301,-3.1555652618408203,-0.768415093421936,1.484905481338501,-0.6081417798995972,3.703001022338867,1.677448034286499,-3.3715126514434814,-1.2074898481369019,0.1415376365184784,0.530087947845459,0.9983450174331665,-1.1962567567825317,-2.0637879371643066,3.2654287815093994,0.7637831568717957,0.6399703025817871,2.376389503479004,3.588041067123413,3.7443222999572754,1.312064290046692,-0.07249709218740463,3.193047523498535,2.571547269821167,0.7520042061805725,-4.964219093322754,-3.0363423824310303,-2.0447754859924316,0.8534607887268066,2.4817867279052734,-1.0895205736160278,-1.4216325283050537,2.7463762760162354,4.186311721801758,-0.3523680865764618,0.6232858300209045,-2.1537675857543945,-1.4413641691207886,-3.599574565887451,4.330348968505859,-1.0840483903884888,0.5957478880882263,0.16127930581569672,-1.421998143196106,1.5987694263458252,-0.21756398677825928,-2.2249131202697754,0.758590579032898,-3.0404577255249023,0.6248826384544373,1.8729127645492554,5.2695183753967285,-3.678741455078125,-0.7376055121421814,0.8130356669425964,-0.3263542950153351,4.409059524536133,5.041213512420654,1.6645420789718628,3.8674163818359375,-2.2765157222747803,-0.5208895802497864,-0.2143251746892929,-1.9238063097000122,-0.6705415844917297,-3.350907325744629,1.931109070777893,0.024174433201551437,-0.7611249685287476,1.8032288551330566,-1.9796826839447021,1.0230827331542969,-1.9036271572113037,0.07839970290660858,-0.17267972230911255,-2.063023567199707,0.10753088444471359,4.350534439086914,1.3870519399642944,0.15711887180805206,4.136889457702637,-3.8530640602111816,-0.6016190052032471,-1.1860225200653076,3.7131052017211914,0.13156931102275848,-0.952759325504303,-0.7628602981567383,5.453545570373535,1.1961209774017334,1.604436993598938,2.94492769241333,1.658486008644104,-1.3478038311004639,-1.7513539791107178,5.060499668121338,1.9882217645645142,-2.971649646759033,-0.7368512749671936,3.2383198738098145,4.377055644989014,-3.3064124584198,0.011809454299509525,-2.8274974822998047,1.6847208738327026,4.089319229125977,0.9576622247695923,-4.944425582885742,-0.6990823745727539,-2.374814510345459,0.6248475909233093,1.599520206451416,-3.39042329788208,4.990426540374756,-2.256007671356201,0.7189313769340515,2.5923829078674316,0.5028335452079773,3.840703010559082,1.682433009147644,3.131009340286255,0.5414260625839233,-3.3980772495269775,4.221078395843506,0.9234545826911926,5.813346862792969,-2.0208423137664795,-0.26093345880508423,-1.273512601852417,-4.1933393478393555,1.7849923372268677,-1.1967945098876953,-1.5458406209945679,1.0650306940078735,4.657219886779785,-1.9409054517745972,5.367464065551758,-0.5376944541931152,-0.67522132396698,-3.637885093688965,-0.21642988920211792,1.748415470123291,-0.985345721244812,0.5153884887695312,5.130981922149658,1.497613787651062,0.47015270590782166,0.9546672105789185,1.2388012409210205,4.214020729064941,-1.8109651803970337,0.256568968296051,-2.6407997608184814,-3.746800661087036,-0.09698669612407684,1.4693306684494019,2.360856771469116,4.386767387390137,-1.3333041667938232,0.17004306614398956,3.9047698974609375,6.053597450256348,0.4985560178756714,3.4044950008392334,-1.559593677520752,-0.8697848916053772,-0.7778606414794922,3.7116990089416504,-2.7224745750427246,-2.3167927265167236,-1.523488163948059,3.293231725692749,0.23370543122291565,-0.6176523566246033,-4.352474212646484,0.8773798942565918,1.4303593635559082,-0.736626148223877,1.918731927871704,0.0970427617430687,0.839086651802063,0.16839751601219177,-0.9258923530578613,0.4603310823440552,-1.3353595733642578,-0.0546741783618927,2.5771849155426025,2.205756902694702,3.385678291320801,-1.252258062362671,2.508345365524292,2.0884177684783936,3.7729384899139404,-0.8218469619750977,-2.226109504699707,-2.8780136108398438,-1.5320042371749878,0.2503667175769806,-3.0191893577575684,1.3028236627578735,1.2013500928878784,1.2390756607055664,-0.6944360733032227,-3.2908430099487305,3.045488119125366,1.6805927753448486,1.3522453308105469,-2.233086109161377,3.613316535949707,-1.9892977476119995,-1.437756061553955,-3.4173357486724854,-3.545578718185425,-2.527689218521118,4.413877964019775,-4.743081092834473,0.94772869348526,-4.895790100097656,-1.7655854225158691,3.3800764083862305,1.9952625036239624,-5.191840171813965,2.3154385089874268,-0.2778855264186859,-2.6711604595184326,0.9941481947898865,-1.9420874118804932,0.7069183588027954,-2.906975269317627,-2.3806188106536865,0.10096370428800583,3.215261459350586,1.2122275829315186,-3.906550645828247,-2.1339402198791504,1.2414631843566895,-0.6578768491744995,-0.6892868876457214,0.5119329690933228,1.5524474382400513,3.119091033935547,0.22986844182014465,3.6729249954223633,2.688927173614502,-0.009995550848543644,4.1911749839782715,0.3631053566932678,0.8098030090332031,-3.5623860359191895,0.9014989137649536,-0.9196736812591553,3.8655123710632324,4.161234378814697,-1.2462514638900757,3.854830741882324,-0.39231956005096436,3.246967077255249,3.0091636180877686,2.3929901123046875,-0.30050650238990784,-0.4824913740158081,0.7601797580718994,-1.2982333898544312,1.2167510986328125,-0.49678221344947815,-0.792201817035675,2.0455007553100586],\"z\":[0.6013918519020081,4.787112712860107,-4.787104606628418,6.460856914520264,-3.284548759460449,1.844840168952942,0.5897665023803711,1.9881892204284668,0.29506102204322815,-4.951844215393066,-2.3148891925811768,1.6107133626937866,-5.939763069152832,4.502139568328857,4.021184921264648,-0.004829147830605507,3.179154396057129,1.6539816856384277,-4.689286231994629,-4.915278434753418,0.8679988980293274,-4.642582893371582,2.4057579040527344,1.979140281677246,-0.9976085424423218,-3.038609027862549,3.993137836456299,1.6138039827346802,-0.9173547029495239,-1.9200955629348755,1.419656753540039,-5.992286682128906,-4.089630603790283,7.253742694854736,-5.359318733215332,-5.370977878570557,-4.712547779083252,-3.861595630645752,-1.3716987371444702,2.3759031295776367,7.378635883331299,6.4196343421936035,-2.5905168056488037,-4.570033073425293,3.001523733139038,-4.78294038772583,-7.299698829650879,0.8269990086555481,-2.6396257877349854,3.7338531017303467,-0.671979546546936,-0.021259883418679237,4.511707782745361,1.8193813562393188,-7.039819240570068,5.402449607849121,-7.412721633911133,4.220522880554199,0.84815913438797,2.5018839836120605,-2.023759603500366,-2.3708059787750244,-2.082915782928467,-4.67842960357666,-1.2598024606704712,-2.4481585025787354,2.295902729034424,6.9924445152282715,-1.9396699666976929,0.9737290143966675,-6.100479602813721,4.154611110687256,-0.3021930158138275,-7.11018180847168,0.3867816627025604,4.13207483291626,3.4633021354675293,-1.1665606498718262,-4.9815568923950195,1.125495433807373,2.107973575592041,-5.887757301330566,1.5679670572280884,1.4921491146087646,4.261844158172607,-5.076656818389893,-6.228447437286377,0.8034825921058655,-6.369266033172607,-5.222536087036133,2.990460157394409,-3.639927387237549,-4.418680667877197,1.7401978969573975,1.6295804977416992,5.164417743682861,-0.537675142288208,3.203561305999756,4.6439924240112305,-1.1882256269454956,-1.761549949645996,-6.248105525970459,-6.898598670959473,-4.746448516845703,-0.6568363308906555,3.9844133853912354,4.285234451293945,-5.430111885070801,5.281103134155273,0.40696272253990173,-4.351120948791504,-3.9132485389709473,1.3133710622787476,4.685025215148926,-5.098020553588867,-3.6940383911132812,-9.017535209655762,-4.93707275390625,4.898565292358398,-8.452932357788086,-1.9460893869400024,-4.673219680786133,1.399588704109192,4.709813594818115,4.509762287139893,-1.492409110069275,2.4458858966827393,-9.387445449829102,0.2002784013748169,1.0650185346603394,7.770492076873779,0.5500087141990662,-5.027122497558594,-3.2889175415039062,-2.8690779209136963,-5.723083019256592,-2.1478891372680664,2.951725482940674,2.427367925643921,-0.4834214150905609,0.34053152799606323,-6.879756450653076,-6.469956398010254,4.5192551612854,-4.382149696350098,0.5984678268432617,-5.514636039733887,-0.17875134944915771,-8.391471862792969,1.0427273511886597,4.06229829788208,2.0624840259552,-7.63102388381958,1.0804760456085205,-5.27131986618042,2.6996543407440186,1.6338647603988647,2.6295247077941895,-3.4149696826934814,7.251873970031738,-3.1162755489349365,-4.527353763580322,-0.8813719749450684,5.0386128425598145,1.300272822380066,-0.15532122552394867,-0.14103306829929352,-0.3958234190940857,8.448060989379883,-0.9674144983291626,0.24437832832336426,1.3186293840408325,1.134294867515564,7.136768817901611,-5.260697364807129,-0.7905280590057373,4.320470333099365,-2.908860921859741,3.937976837158203,-5.5744123458862305,3.4184961318969727,-0.6007367372512817,-0.12644220888614655,3.0242462158203125,5.516870975494385,1.285943865776062,2.0820417404174805,-2.8148977756500244,0.02585255354642868,-0.33499786257743835,4.525784492492676,-6.196321964263916,-1.7204725742340088,1.4500404596328735,-2.320676803588867,0.10347659885883331,4.9429931640625,4.997195243835449,-5.803074359893799,4.034255027770996,-5.320619106292725,-8.051804542541504,0.2884587049484253,4.711686134338379,-1.400328278541565,-5.3392462730407715,-4.253896713256836,-7.875742435455322,-6.480804920196533,-1.5274192094802856,-4.970272541046143,2.866260528564453,4.892695426940918,-1.6633514165878296,-7.373801231384277,-3.670637607574463,-6.342942714691162,3.402907133102417,-5.904767990112305,6.699477672576904,4.95116662979126,-0.06423932313919067,-3.6455960273742676,-4.940894603729248,0.17488564550876617,-7.111861228942871,-3.191398859024048,4.435944557189941,-1.4616669416427612,1.731589913368225,2.107079029083252,6.012588977813721,2.707841157913208,-4.52959680557251,-6.5160322189331055,3.0928919315338135,-4.582249641418457,-8.954174995422363,-6.587820053100586,-3.0591323375701904,4.366015434265137,0.9337805509567261,1.9034154415130615,-2.6672394275665283,-2.957345962524414,-9.323049545288086,4.538476943969727,-2.491368532180786,1.0960400104522705,5.401614665985107,3.1324844360351562,-6.534464359283447,1.52178955078125,2.809584140777588,-5.200150966644287,0.7937238216400146,1.0619240999221802,4.54447078704834,-2.052189826965332,4.445816993713379,-0.5858823657035828,-4.079959392547607,-5.03281831741333,-2.3283121585845947,1.8638083934783936,2.2091875076293945,1.112377643585205,-5.982812404632568,2.4255402088165283,-6.135400772094727,6.567814350128174,0.35936239361763,2.798759698867798,-2.7844672203063965,3.828256130218506,1.9807578325271606,1.6860787868499756,-3.2271957397460938,-3.2112667560577393,1.5135114192962646,-4.946160793304443,6.048388481140137,-4.350190162658691,-4.3338751792907715,-3.435452938079834,-1.075738549232483,6.66265344619751,-2.7959840297698975,-2.2461163997650146,-1.7087435722351074,5.518213748931885,4.193019390106201,-0.9302164316177368,3.01973032951355,5.259549617767334,-6.113126277923584,-4.690695762634277,4.166031360626221,0.20600688457489014,4.577085018157959,3.216322422027588,0.7746854424476624,7.217873573303223,4.459453582763672,-6.277760028839111,5.227525234222412,-6.145777225494385,8.357178688049316,-5.878950119018555,2.8827054500579834,-8.29145336151123,3.1032533645629883,3.905249834060669,-4.064286231994629,-1.252345323562622,6.247124195098877,-4.916303634643555,2.0793449878692627,4.517865180969238,0.4672517478466034,-2.6600542068481445,-6.025893211364746,-1.9822413921356201,5.9697346687316895,-5.719976425170898,-6.681529998779297,-0.7790919542312622,-4.437012672424316,4.1703081130981445,5.851653575897217,1.712465524673462,0.4042756259441376,-0.01872936822474003,-5.219336986541748,4.408375263214111,2.3127706050872803,4.013179302215576,-6.865694046020508,5.298188209533691,-3.3035552501678467,5.499235153198242,5.507697105407715,0.6093732118606567,8.180047035217285,6.642142295837402,-7.168908596038818,4.251428604125977,-0.3847472667694092,3.017348051071167,-3.0785045623779297,-4.190081596374512,0.05201491340994835,1.2956387996673584,0.2289310246706009,1.1535784006118774,0.2154253125190735,2.9994325637817383,-3.807710886001587,2.56008243560791,-5.770107746124268,4.700605392456055,3.1784868240356445,4.3970818519592285,0.6043099164962769,-2.4357306957244873,-3.850987195968628,-7.091414451599121,5.477790355682373,1.6731092929840088,-2.429182291030884,-1.1251353025436401,4.266922473907471,5.271718978881836,-8.083998680114746,-2.4839301109313965,1.0424360036849976,0.6310946345329285,-1.2202563285827637,-3.391817569732666,3.0013504028320312,1.5576626062393188,-6.651003837585449,3.4460837841033936,0.4560236930847168,2.1389877796173096,-7.787771701812744,-5.034590721130371,-1.6066070795059204,5.272906303405762,-1.9363799095153809,-2.9892420768737793,-3.419391393661499,-4.367825031280518,2.7869067192077637,4.679778575897217,-5.041708946228027,4.708958148956299,4.422779560089111,1.792817234992981,-7.356590747833252,0.4751087725162506,-2.840691089630127,-2.7048733234405518,4.55876350402832,3.5164849758148193,3.025249719619751,3.629965305328369,0.7682734131813049,0.7268416881561279,4.052626609802246,7.874276161193848,-0.4971293807029724,3.0778305530548096,4.713696002960205,-4.052884578704834,-2.2001986503601074,4.441868305206299,-1.7960350513458252,5.525211334228516,-6.612728118896484,2.153993844985962,2.521068572998047,0.44407427310943604,-6.277868747711182,-8.705002784729004,4.6879377365112305,4.360677719116211,2.275543451309204,0.06349088251590729,-6.0421977043151855,1.327246904373169,2.172032117843628,-4.40073299407959,-6.5265655517578125,-5.211832523345947,-2.3107216358184814,8.159991264343262,-0.6565165519714355,2.0054168701171875,-0.5404481291770935,1.7795677185058594,-5.928431987762451,1.072671890258789,3.743278980255127,7.441231727600098,-2.9852330684661865,-3.3503410816192627,-0.5300036668777466,1.4755172729492188,-2.281810998916626,-2.937650680541992,-2.8840155601501465,3.668386459350586,-1.7358343601226807,4.4807658195495605,3.041008710861206,3.9724066257476807,0.8051259517669678,7.220560550689697,4.206270217895508,-5.365098476409912,-4.477686405181885,-4.658099174499512,-0.7040075063705444,-0.4887729287147522,-2.1388020515441895,5.053615093231201,-2.6047468185424805,-1.4030961990356445,-5.314795970916748,-1.1405750513076782,-3.549692153930664,5.146639347076416,-0.2700791656970978,-5.572411060333252,5.120690822601318,-3.065274238586426,3.517763137817383,2.1464462280273438,5.298736095428467,3.9645092487335205,2.035834550857544,2.2397563457489014,3.470012664794922,2.351818323135376,-3.3241825103759766,4.948675632476807,0.49386218190193176,-2.7622220516204834,1.7214033603668213,-1.5522572994232178,4.395811080932617,-3.4863195419311523,1.5915838479995728,-3.9942750930786133,-2.7334959506988525,6.348821640014648,-7.033571720123291,-0.16880591213703156,-4.9084343910217285,4.886470317840576,1.2423629760742188],\"type\":\"scatter3d\",\"textfont\":{\"size\":10}}],                        {\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"mesh3d\":[{\"type\":\"mesh3d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"parcoords\":[{\"type\":\"parcoords\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolargl\":[{\"type\":\"scatterpolargl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"scattergeo\":[{\"type\":\"scattergeo\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolar\":[{\"type\":\"scatterpolar\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"scattergl\":[{\"type\":\"scattergl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatter3d\":[{\"type\":\"scatter3d\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattermapbox\":[{\"type\":\"scattermapbox\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterternary\":[{\"type\":\"scatterternary\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattercarpet\":[{\"type\":\"scattercarpet\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}]},\"layout\":{\"autotypenumbers\":\"strict\",\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"hovermode\":\"closest\",\"hoverlabel\":{\"align\":\"left\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"bgcolor\":\"#E5ECF6\",\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"ternary\":{\"bgcolor\":\"#E5ECF6\",\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]]},\"xaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"yaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"geo\":{\"bgcolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"subunitcolor\":\"white\",\"showland\":true,\"showlakes\":true,\"lakecolor\":\"white\"},\"title\":{\"x\":0.05},\"mapbox\":{\"style\":\"light\"}}},\"scene\":{\"domain\":{\"x\":[0.0,1.0],\"y\":[0.0,1.0]},\"xaxis\":{\"title\":{\"text\":\"x\"},\"range\":[-30,30]},\"yaxis\":{\"title\":{\"text\":\"y\"},\"range\":[-30,30]},\"zaxis\":{\"title\":{\"text\":\"z\"},\"range\":[-30,30]}},\"legend\":{\"tracegroupgap\":0},\"margin\":{\"t\":60}},                        {\"responsive\": true}                    ).then(function(){\n                            \nvar gd = document.getElementById('22854378-4375-4484-a1b0-91c4ea3ba032');\nvar x = new MutationObserver(function (mutations, observer) {{\n        var display = window.getComputedStyle(gd).display;\n        if (!display || display === 'none') {{\n            console.log([gd, 'removed!']);\n            Plotly.purge(gd);\n            observer.disconnect();\n        }}\n}});\n\n// Listen for the removal of the full notebook cells\nvar notebookContainer = gd.closest('#notebook-container');\nif (notebookContainer) {{\n    x.observe(notebookContainer, {childList: true});\n}}\n\n// Listen for the clearing of the current output cell\nvar outputEl = gd.closest('.output');\nif (outputEl) {{\n    x.observe(outputEl, {childList: true});\n}}\n\n                        })                };                            </script>        </div>\n</body>\n</html>"
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Use Word2Vec to find most similar words\n",
        "WordModel.wv.most_similar('ca2')"
      ],
      "metadata": {
        "id": "E795I6ej2lyz",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:38.574159Z",
          "iopub.execute_input": "2025-01-13T17:22:38.574468Z",
          "iopub.status.idle": "2025-01-13T17:22:38.587036Z",
          "shell.execute_reply.started": "2025-01-13T17:22:38.574416Z",
          "shell.execute_reply": "2025-01-13T17:22:38.586504Z"
        },
        "outputId": "174879f6-ba77-48ca-f895-95af60d30554"
      },
      "outputs": [
        {
          "execution_count": 50,
          "output_type": "execute_result",
          "data": {
            "text/plain": "[('na', 0.9731886982917786),\n ('k', 0.9687626361846924),\n ('adh', 0.9573239088058472),\n ('filtration', 0.9522146582603455),\n ('reabsorption', 0.9505029916763306),\n ('glomerular', 0.9497273564338684),\n ('velocity', 0.9496407508850098),\n ('concentration', 0.9471977353096008),\n ('excretion', 0.9465910792350769),\n ('release', 0.9465163946151733)]"
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Example of King – Man + Woman = Queen\n",
        "vec = WordModel.wv.get_vector('headache') + (WordModel.wv.get_vector('fever') - WordModel.wv.get_vector('drug'))\n",
        "WordModel.wv.similar_by_vector(vec)"
      ],
      "metadata": {
        "id": "8RkQLdpv2lyz",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:38.587630Z",
          "iopub.execute_input": "2025-01-13T17:22:38.588103Z",
          "iopub.status.idle": "2025-01-13T17:22:38.602329Z",
          "shell.execute_reply.started": "2025-01-13T17:22:38.588072Z",
          "shell.execute_reply": "2025-01-13T17:22:38.601294Z"
        },
        "outputId": "d66fec07-1151-4f16-d36d-ba2456ee72de"
      },
      "outputs": [
        {
          "execution_count": 51,
          "output_type": "execute_result",
          "data": {
            "text/plain": "[('pain', 0.8947863578796387),\n ('abdominal', 0.8598266243934631),\n ('chest', 0.8562307953834534),\n ('leukocytosis', 0.8470276594161987),\n ('x', 0.8289405703544617),\n ('ray', 0.822690486907959),\n ('wheezing', 0.812017560005188),\n ('weakness', 0.8102148175239563),\n ('shortness', 0.8047013282775879),\n ('fever', 0.8044383525848389)]"
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Dataset Class"
      ],
      "metadata": {
        "id": "t__NU-CxtprY"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "We create a `MedDataset` class to ensure consistency between the format of the MedicalMeadow dataset and how it will be used during the training process with roles supported by Llama [text models](https://www.llama.com/docs/model-cards-and-prompt-formats/llama3_2)."
      ],
      "metadata": {
        "id": "RbFTpY9C5KW-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "class MedDataset(Dataset):\n",
        "    def __init__(self, dataset, tokenizer):\n",
        "        self.dataset = dataset\n",
        "        self.tokenizer = tokenizer\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.dataset)\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        example = self.dataset[idx]\n",
        "\n",
        "        # Construct a conversation-style prompt with instruction, input, and output\n",
        "        messages = [\n",
        "            {\"role\": \"system\", \"content\": example['instruction']},  # Starting instruction\n",
        "            {\"role\": \"user\", \"content\": example['input']},  # Input provided by the user\n",
        "            {\"role\": \"assistant\", \"content\": example['output']}  # Expected output from the assistant\n",
        "        ]\n",
        "\n",
        "        # Create a prompt using the tokenizer's chat template\n",
        "        prompt = self.tokenizer.apply_chat_template(\n",
        "            messages,\n",
        "            tokenize=False,  # The prompt remains untokenized for now\n",
        "            add_generation_prompt=True  # Add any required generation-specific tokens\n",
        "        )\n",
        "\n",
        "        # Tokenize the prompt into a format suitable for model input\n",
        "        tokens = self.tokenizer(\n",
        "            prompt,\n",
        "            padding=\"max_length\",  # Pad sequences to a fixed maximum length\n",
        "            truncation=True,  # Truncate sequences that exceed the maximum length\n",
        "            max_length=128,  # Set the maximum sequence length\n",
        "            return_tensors=\"pt\"\n",
        "        )\n",
        "\n",
        "        tokens['labels'] = tokens['input_ids'].clone()\n",
        "        # Mask padding tokens in the labels to ignore them during loss computation\n",
        "        tokens['labels'][tokens['input_ids'] == self.tokenizer.pad_token_id] = -100\n",
        "\n",
        "        return {\n",
        "            \"input_ids\": tokens['input_ids'].squeeze(),  # Tokenized input sequence\n",
        "            \"attention_mask\": tokens['attention_mask'].squeeze(),  # Attention mask for the input\n",
        "            \"labels\": tokens['labels'].squeeze()  # Labels for the model to predict\n",
        "        }"
      ],
      "metadata": {
        "id": "etwCQ4z6tprY",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:38.603118Z",
          "iopub.execute_input": "2025-01-13T17:22:38.603433Z",
          "iopub.status.idle": "2025-01-13T17:22:38.614234Z",
          "shell.execute_reply.started": "2025-01-13T17:22:38.603398Z",
          "shell.execute_reply": "2025-01-13T17:22:38.613149Z"
        }
      },
      "outputs": [],
      "execution_count": 7
    },
    {
      "cell_type": "code",
      "source": [
        "# Split dataset\n",
        "train_set, val_set, test_dataset = random_split(ds, [0.8, 0.1, 0.1])"
      ],
      "metadata": {
        "id": "IUEN8DT5YzQR",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:38.614918Z",
          "iopub.execute_input": "2025-01-13T17:22:38.615217Z",
          "iopub.status.idle": "2025-01-13T17:22:38.644819Z",
          "shell.execute_reply.started": "2025-01-13T17:22:38.615181Z",
          "shell.execute_reply": "2025-01-13T17:22:38.641535Z"
        }
      },
      "outputs": [],
      "execution_count": 8
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Model Creation\n",
        "This section imports and sets the model to be fine-tuned"
      ],
      "metadata": {
        "id": "-BMh1vbuc5qp"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Load [Llama 3.2 1B Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)\n",
        "The model chosen to be fine-tuned is Llama, specifically version 3.2 which has a variant with only 1B parameters and is optimized for chat-style question answering (Instruct)"
      ],
      "metadata": {
        "id": "17sDebt1YzQR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Base model from Hugging Face\n",
        "base_model = \"meta-llama/Llama-3.2-1B-Instruct\"\n",
        "\n",
        "# Load tokenizer\n",
        "tokenizer = AutoTokenizer.from_pretrained(base_model)\n",
        "tokenizer.pad_token = tokenizer.eos_token"
      ],
      "metadata": {
        "id": "AelKMq1xSsQ-",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:38.647956Z",
          "iopub.execute_input": "2025-01-13T17:22:38.648274Z",
          "iopub.status.idle": "2025-01-13T17:22:39.234154Z",
          "shell.execute_reply.started": "2025-01-13T17:22:38.648244Z",
          "shell.execute_reply": "2025-01-13T17:22:39.233506Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 113,
          "referenced_widgets": [
            "e460677ff37e4f79bbdec96cd88f01c1",
            "796b4fdf4dff4c3eab7bfdcbe60abc22",
            "c0bf3c9ce2264133aa3c02de1a36c286",
            "09267cbc9d114ceabd5d5c430deb41a5",
            "9da91a1f0b3e4a21bc77706b299c3d84",
            "3e7a74dbae1145a6826fa3dcf5877b36",
            "2b9cc80b376544cbb31343668e01360a",
            "6b01ca158f344efea29c2ef31074054b",
            "e42b63c89aa3406b8411235507e34bb8",
            "c9ad39b6c74343769bf17124e1a63a5d",
            "18dae97086684144b19104301209c82f",
            "cd15f12d6600434d9df6b93878d7df97",
            "de8eda20a97047d5993b07bde1b8b47e",
            "b765a63227c24f4b8649df6f3d7c4c8e",
            "e8f08beed4fb425ebdf894c35fa2e508",
            "befc1f3485284d568fec7019ec255dcc",
            "bc03db7b96d54395bbbf8535c36c1ee4",
            "dc4b1c2a0736458dace0de4a41d04099",
            "3537bc87b69042078db04d9fba071905",
            "172ba1b2c7db4ecfaae25f57551d6eff",
            "918c39b1b05c452091ee4526538c64d5",
            "6128d0b683484be49ee708f38fa9b270",
            "7158434489214e6e95406e9c1bd23307",
            "1d5656877dd24d77a806f6a9307ceee8",
            "1e40c78d76dd4eda95317436885ff3d4",
            "c6125a9b02bb4f26b7a43d19d672a375",
            "e0cea039a9ba4a969032684d0dcac681",
            "169467b56ad84fd9a90046da7c86da1f",
            "51e05d6b7a2b4ee8a48188bc26e2a672",
            "48223c56e33348ef9b89c63895b41cd7",
            "e779e85d3e9d4970a46a6aec471a1eaf",
            "11c7bfa8c99c408e8c0bb185b8286761",
            "618d4da457a54706b98d6d18fc635a31"
          ]
        },
        "outputId": "34cc30f4-e254-416a-da57-42771d7f2bd2"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer_config.json:   0%|          | 0.00/54.5k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "e460677ff37e4f79bbdec96cd88f01c1"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer.json:   0%|          | 0.00/9.09M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "cd15f12d6600434d9df6b93878d7df97"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "special_tokens_map.json:   0%|          | 0.00/296 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "7158434489214e6e95406e9c1bd23307"
            }
          },
          "metadata": {}
        }
      ],
      "execution_count": 9
    },
    {
      "cell_type": "markdown",
      "source": [
        "We only initialize the dataset class for train and validation now since we needed the tokenizer, which is useful to apply the template for chat. While for the testset we are going to use a different template."
      ],
      "metadata": {
        "id": "JhcOiPoxYzQR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Create datasets for training and validation\n",
        "train_dataset = MedDataset(train_set, tokenizer)\n",
        "val_dataset = MedDataset(val_set, tokenizer)\n",
        "\n",
        "# Print dataset dimensions\n",
        "print(f\"Train dataset dimension: {len(train_dataset)}\")\n",
        "print(f\"Validation dataset dimension: {len(val_dataset)}\")\n",
        "print(f\"Test dataset dimension: {len(test_dataset)}\")"
      ],
      "metadata": {
        "id": "U775LBiXYzQR",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:39.236791Z",
          "iopub.execute_input": "2025-01-13T17:22:39.237013Z",
          "iopub.status.idle": "2025-01-13T17:22:39.242362Z",
          "shell.execute_reply.started": "2025-01-13T17:22:39.236994Z",
          "shell.execute_reply": "2025-01-13T17:22:39.241566Z"
        },
        "outputId": "6b0417a1-3420-4b05-f1c9-dd2f2db83eed",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Train dataset dimension: 27165\n",
            "Validation dataset dimension: 3395\n",
            "Test dataset dimension: 3395\n"
          ]
        }
      ],
      "execution_count": 10
    },
    {
      "cell_type": "markdown",
      "source": [
        "In the next cell we configured BitsandBytes, to apply 4-bit quantization.\n",
        " It allows us to reduce the precision of the numbers used to represent the model weights, saving memory space and improving the speed of inference"
      ],
      "metadata": {
        "id": "nCE-rr6AYzQR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Set dtype for quantization\n",
        "compute_dtype = getattr(torch, \"float16\")\n",
        "\n",
        "# Set quantization config for BitsAndBytes\n",
        "quant_config = BitsAndBytesConfig(\n",
        "    load_in_4bit=True,\n",
        "    bnb_4bit_quant_type=\"nf4\",\n",
        "    bnb_4bit_compute_dtype=compute_dtype,\n",
        "    bnb_4bit_use_double_quant=False,\n",
        "    bnb_4bit_representation=\"nested\"\n",
        ")"
      ],
      "metadata": {
        "id": "gR4BtF8AHD0I",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:39.243805Z",
          "iopub.execute_input": "2025-01-13T17:22:39.244020Z",
          "iopub.status.idle": "2025-01-13T17:22:39.259187Z",
          "shell.execute_reply.started": "2025-01-13T17:22:39.244001Z",
          "shell.execute_reply": "2025-01-13T17:22:39.258360Z"
        }
      },
      "outputs": [],
      "execution_count": 11
    },
    {
      "cell_type": "markdown",
      "source": [
        "We load the model from Hugging Face"
      ],
      "metadata": {
        "id": "eFr1wdv2YzQR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Load LLAMA model with quantization\n",
        "model = AutoModelForCausalLM.from_pretrained(\n",
        "    base_model,\n",
        "    quantization_config=quant_config,\n",
        "    device_map={\"\": 0},\n",
        "    torch_dtype=torch.float32,\n",
        "    trust_remote_code=True\n",
        ")\n",
        "model.config.use_cache = False\n",
        "model.config.pretraining_tp = 1\n",
        "\n",
        "model.gradient_checkpointing_enable()\n",
        "model = prepare_model_for_kbit_training(model)"
      ],
      "metadata": {
        "id": "AAl1RmdGYzQR",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:39.260109Z",
          "iopub.execute_input": "2025-01-13T17:22:39.260392Z",
          "iopub.status.idle": "2025-01-13T17:22:43.868554Z",
          "shell.execute_reply.started": "2025-01-13T17:22:39.260364Z",
          "shell.execute_reply": "2025-01-13T17:22:43.867911Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 113,
          "referenced_widgets": [
            "1ea783131fde4379bb448c95664c76e8",
            "bf50cb309c8d48c4983b6f70719bab1c",
            "11465e96d79d423fb974b3caf0b93795",
            "cc8373fc80da4ca4b74ee5d0668a14e5",
            "a39b24e25e3040eebcda27a13b0bc5db",
            "1ae691d954ab445f8ee74b10d6c0b313",
            "e04fdb279d0b4d609af002c1005d087c",
            "312553cb8b774775bebf6cd19d84787a",
            "9cf2e6e9b72c45dfa6bc8635b78c9284",
            "02ada529fc9d45d0982270c2ca3c4484",
            "e31fc3003e3b49e691597dc6525e0d43",
            "b981f07b23ab42b19f86321ad5ae135b",
            "f49ff485def0476097c0800b586a61da",
            "087b2313676f48b9920638197b80c6eb",
            "73ac12cfeb034b7e9ecd72417368d483",
            "4516ddbc583745e2a2e3207525ae7b58",
            "ac57a84978174a588f9f3eed42b139e3",
            "264216f1703c4ba7afd26e15d9ee564b",
            "f23228ff0fbc457999d4aa02498d3c7f",
            "b6c7c6231da747c2a63601822fb13cf0",
            "c943e778c4ab413cadfa73893e998f24",
            "dee88be75d5a4413ab36dd11a2ad666a",
            "fa40c7b2ca3d450cb294c0bdc910a5c0",
            "a1d404ea5fc84472b5163fd4b4d0f34c",
            "6901b16336654705ab920adf532698a2",
            "88c9fc198e0b4dfd8b4b1739cc5889e0",
            "a51f59b5d29b400680540170b4292199",
            "40dba6d4ca854e75bc039c614987b82e",
            "4f284cef72434953915418c1b25f94f1",
            "878bdd92f40c41269bcddb6b35f58a4d",
            "2ee27679afa949ed9e7f5798f9b01d11",
            "3bfe1ed1758e45f39b4a5c87d7b37ae0",
            "35452073bab646c2b40dd80ef34d0f33"
          ]
        },
        "outputId": "ad8e3619-4e5c-4ec8-ec63-0285abc3cc5c"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "config.json:   0%|          | 0.00/877 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "1ea783131fde4379bb448c95664c76e8"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "model.safetensors:   0%|          | 0.00/2.47G [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "b981f07b23ab42b19f86321ad5ae135b"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "generation_config.json:   0%|          | 0.00/189 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "fa40c7b2ca3d450cb294c0bdc910a5c0"
            }
          },
          "metadata": {}
        }
      ],
      "execution_count": 12
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Model training"
      ],
      "metadata": {
        "id": "XMNZAui5YzQS"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Relative to training, in order to minimize the fine-tuning time and without having to retrain all model parameters, we used the PEFT technique, to update only a small part of parameters useful for the task"
      ],
      "metadata": {
        "id": "CTGJKF_XYzQS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "peft_params = LoraConfig(\n",
        "    lora_alpha=32,  # Scaling factor for the LoRA updates to control the adaptation strength\n",
        "    lora_dropout=0.1,\n",
        "    r=16,  # Rank of the low-rank adaptation matrices; smaller values reduce the number of trainable parameters\n",
        "    bias=\"none\",\n",
        "    task_type=\"CAUSAL_LM\",  # Causal language modeling task\n",
        ")"
      ],
      "metadata": {
        "id": "ew98HuwaKW1P",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:43.869274Z",
          "iopub.execute_input": "2025-01-13T17:22:43.869510Z",
          "iopub.status.idle": "2025-01-13T17:22:43.873074Z",
          "shell.execute_reply.started": "2025-01-13T17:22:43.869490Z",
          "shell.execute_reply": "2025-01-13T17:22:43.872496Z"
        }
      },
      "outputs": [],
      "execution_count": 13
    },
    {
      "cell_type": "code",
      "source": [
        "model.train()\n",
        "\n",
        "# Define training parameters using the TrainingArguments class\n",
        "training_params = TrainingArguments(\n",
        "    output_dir=\"./results\",  # Directory to save model checkpoints and training outputs\n",
        "    num_train_epochs=1,\n",
        "    per_device_train_batch_size=8,  # Batch size for each device during training\n",
        "    gradient_accumulation_steps=4,  # Number of steps to accumulate gradients before updating weights\n",
        "    optim=\"paged_adamw_32bit\",\n",
        "    eval_strategy=\"steps\",  # Evaluation frequency is defined by the number of steps\n",
        "    logging_steps=90,\n",
        "    eval_steps=90,\n",
        "    learning_rate=2e-4,\n",
        "    weight_decay=0.001,  # Weight decay factor for regularization to prevent overfitting\n",
        "    fp16=False,  # Disable 16-bit floating-point precision for training\n",
        "    bf16=False,  # Disable bfloat16 precision for training\n",
        "    max_grad_norm=0.3,  # Maximum gradient norm for gradient clipping\n",
        "    max_steps=-1,  # Total number of training steps (-1 means determined by epochs)\n",
        "    warmup_ratio=0.03,  # Fraction of steps for learning rate warmup\n",
        "    group_by_length=True,  # Group samples of similar lengths for more efficient training\n",
        "    lr_scheduler_type=\"constant\",\n",
        "    gradient_checkpointing=True  # Enable gradient checkpointing to save memory\n",
        ")"
      ],
      "metadata": {
        "id": "n8dBHX-j-M1J",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:43.873773Z",
          "iopub.execute_input": "2025-01-13T17:22:43.874001Z",
          "iopub.status.idle": "2025-01-13T17:22:43.917248Z",
          "shell.execute_reply.started": "2025-01-13T17:22:43.873982Z",
          "shell.execute_reply": "2025-01-13T17:22:43.916702Z"
        }
      },
      "outputs": [],
      "execution_count": 14
    },
    {
      "cell_type": "markdown",
      "source": [
        "For fine-tuning we use Supervised Fine-Tuning Trainer, passing the parameters set previously"
      ],
      "metadata": {
        "id": "DzC-_09pYzQS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "trainer = SFTTrainer(\n",
        "    model=model,\n",
        "    train_dataset=train_dataset,\n",
        "    eval_dataset=val_dataset,\n",
        "    peft_config=peft_params,\n",
        "    max_seq_length=256,\n",
        "    tokenizer=tokenizer,\n",
        "    args=training_params,\n",
        "    packing=False,\n",
        ")"
      ],
      "metadata": {
        "id": "ARnpWrEFSsQ_",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:43.917998Z",
          "iopub.execute_input": "2025-01-13T17:22:43.918251Z",
          "iopub.status.idle": "2025-01-13T17:22:44.043288Z",
          "shell.execute_reply.started": "2025-01-13T17:22:43.918226Z",
          "shell.execute_reply": "2025-01-13T17:22:44.042498Z"
        }
      },
      "outputs": [],
      "execution_count": 15
    },
    {
      "cell_type": "markdown",
      "source": [
        "Uncomment the below cell to train the model"
      ],
      "metadata": {
        "id": "Z11mpIBo5KXA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Train the model\n",
        "# trainer.train()\n",
        "\n",
        "# Save the model and tokenizer\n",
        "# trainer.save_model(\"./fine-tuned-model\")\n",
        "# tokenizer.save_pretrained(\"./fine-tuned-model\")"
      ],
      "metadata": {
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:44.044200Z",
          "iopub.execute_input": "2025-01-13T17:22:44.044393Z",
          "iopub.status.idle": "2025-01-13T17:22:44.047365Z",
          "shell.execute_reply.started": "2025-01-13T17:22:44.044374Z",
          "shell.execute_reply": "2025-01-13T17:22:44.046666Z"
        },
        "id": "bVvLi_Eu5KXA"
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Plots"
      ],
      "metadata": {
        "id": "a_6XDhvKc37b"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "The below cell plots the validation and training loss. If you execute the previous training, uncomment also this cell"
      ],
      "metadata": {
        "id": "pChtU-To5KXA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# df = pd.DataFrame(trainer.state.log_history)\n",
        "\n",
        "# # Plot training and validation loss\n",
        "# plt.figure(figsize=(10, 6))\n",
        "# plt.plot(df['loss'], label='Training Loss')\n",
        "# plt.title('Training and Validation Loss')\n",
        "# plt.xlabel('Steps')\n",
        "# plt.ylabel('Loss')\n",
        "# plt.legend()\n",
        "# plt.grid(True)\n",
        "\n",
        "# plt.savefig(\"training_and_validation_loss.png\")\n",
        "# plt.show()"
      ],
      "metadata": {
        "id": "5DaDCbaMc37b",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:44.048233Z",
          "iopub.execute_input": "2025-01-13T17:22:44.048545Z",
          "iopub.status.idle": "2025-01-13T17:22:44.059010Z",
          "shell.execute_reply.started": "2025-01-13T17:22:44.048514Z",
          "shell.execute_reply": "2025-01-13T17:22:44.058203Z"
        }
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 0-shot fine tuning"
      ],
      "metadata": {
        "id": "K_ma4ZFM5KXA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Define the model for 0-shot\n",
        "model0 = AutoModelForCausalLM.from_pretrained(\n",
        "    base_model,\n",
        "    quantization_config=quant_config,\n",
        "    device_map={\"\": 0},\n",
        "    torch_dtype=torch.float16,\n",
        "    trust_remote_code=True\n",
        ")\n",
        "model0.config.use_cache = False\n",
        "model0.config.pretraining_tp = 1"
      ],
      "metadata": {
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:44.059844Z",
          "iopub.execute_input": "2025-01-13T17:22:44.060099Z",
          "iopub.status.idle": "2025-01-13T17:22:47.382296Z",
          "shell.execute_reply.started": "2025-01-13T17:22:44.060070Z",
          "shell.execute_reply": "2025-01-13T17:22:47.381441Z"
        },
        "id": "PoTc4kUa5KXA"
      },
      "outputs": [],
      "execution_count": 16
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Few-shot fine tuning"
      ],
      "metadata": {
        "id": "wtpQnFYN5KXB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Prepare the dataset for few-shot fine tuning (just 5 instances)\n",
        "subset = Subset(ds, list(range(5)))\n",
        "\n",
        "few_dataset = MedDataset(subset, tokenizer)\n",
        "few_dataset"
      ],
      "metadata": {
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:47.383384Z",
          "iopub.execute_input": "2025-01-13T17:22:47.383725Z",
          "iopub.status.idle": "2025-01-13T17:22:47.388909Z",
          "shell.execute_reply.started": "2025-01-13T17:22:47.383693Z",
          "shell.execute_reply": "2025-01-13T17:22:47.388250Z"
        },
        "id": "-Z-ngfmS5KXB",
        "outputId": "b45200bc-592a-4d11-c705-ba669c9b8789",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<__main__.MedDataset at 0x7c007cba1f00>"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ],
      "execution_count": 17
    },
    {
      "cell_type": "code",
      "source": [
        "# Define the model\n",
        "modelFEW = AutoModelForCausalLM.from_pretrained(\n",
        "    base_model,\n",
        "    quantization_config=quant_config,\n",
        "    device_map={\"\": 0},\n",
        "    torch_dtype=torch.float16,\n",
        "    trust_remote_code=True\n",
        ")\n",
        "modelFEW.config.use_cache = False\n",
        "modelFEW.config.pretraining_tp = 1\n",
        "\n",
        "training_params = TrainingArguments(\n",
        "    output_dir=\"./results\",  # Directory to save model checkpoints and training outputs\n",
        "    num_train_epochs=1,\n",
        "    per_device_train_batch_size=8,  # Batch size for each device during training\n",
        "    gradient_accumulation_steps=4,  # Number of steps to accumulate gradients before updating weights\n",
        "    optim=\"paged_adamw_32bit\",\n",
        "    logging_steps=90,\n",
        "    learning_rate=2e-4,\n",
        "    weight_decay=0.001,  # Weight decay factor for regularization to prevent overfitting\n",
        "    fp16=False,  # Disable 16-bit floating-point precision for training\n",
        "    bf16=False,  # Disable bfloat16 precision for training\n",
        "    max_grad_norm=0.3,  # Maximum gradient norm for gradient clipping\n",
        "    max_steps=-1,  # Total number of training steps (-1 means determined by epochs)\n",
        "    warmup_ratio=0.03,  # Fraction of steps for learning rate warmup\n",
        "    group_by_length=True,  # Group samples of similar lengths for more efficient training\n",
        "    lr_scheduler_type=\"constant\",\n",
        "    gradient_checkpointing=True,  # Enable gradient checkpointing to save memory\n",
        "    report_to=\"none\",\n",
        ")\n",
        "\n",
        "trainer = SFTTrainer(\n",
        "    model=modelFEW,\n",
        "    train_dataset=few_dataset,\n",
        "    peft_config=peft_params,\n",
        "    max_seq_length=256,\n",
        "    tokenizer=tokenizer,\n",
        "    args=training_params,\n",
        "    packing=False,\n",
        ")\n",
        "# Few shot training\n",
        "trainer.train()"
      ],
      "metadata": {
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:47.389706Z",
          "iopub.execute_input": "2025-01-13T17:22:47.389991Z",
          "iopub.status.idle": "2025-01-13T17:22:55.245605Z",
          "shell.execute_reply.started": "2025-01-13T17:22:47.389962Z",
          "shell.execute_reply": "2025-01-13T17:22:55.244707Z"
        },
        "id": "ySJRJ24V5KXB",
        "outputId": "94ff7471-7c54-436a-f2f8-44a6c27d45ed",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 110
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "    <div>\n",
              "      \n",
              "      <progress value='1' max='1' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      [1/1 00:00, Epoch 1/1]\n",
              "    </div>\n",
              "    <table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              " <tr style=\"text-align: left;\">\n",
              "      <th>Step</th>\n",
              "      <th>Training Loss</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "  </tbody>\n",
              "</table><p>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "TrainOutput(global_step=1, training_loss=4.027472496032715, metrics={'train_runtime': 3.1748, 'train_samples_per_second': 1.575, 'train_steps_per_second': 0.315, 'total_flos': 3743424184320.0, 'train_loss': 4.027472496032715, 'epoch': 1.0})"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ],
      "execution_count": 18
    },
    {
      "cell_type": "code",
      "source": [
        "def inference(question, model_inf, tokenizer_inf):\n",
        "    messages = [{\"role\": \"system\", \"content\": instructions[0]},\n",
        "        {\"role\": \"user\", \"content\": question}]\n",
        "\n",
        "    prompt = tokenizer_inf.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)\n",
        "\n",
        "    model_inputs = tokenizer_inf(prompt, return_tensors='pt', padding=True, truncation=True).to(\"cuda\")\n",
        "\n",
        "    outputs = model_inf.generate(**model_inputs, max_new_tokens=128)\n",
        "\n",
        "    response = tokenizer_inf.decode(outputs[0], skip_special_tokens=True)\n",
        "\n",
        "    return response.partition('assistant')[2][2:]"
      ],
      "metadata": {
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:55.246551Z",
          "iopub.execute_input": "2025-01-13T17:22:55.246810Z",
          "iopub.status.idle": "2025-01-13T17:22:55.251678Z",
          "shell.execute_reply.started": "2025-01-13T17:22:55.246790Z",
          "shell.execute_reply": "2025-01-13T17:22:55.250908Z"
        },
        "id": "9wEp93f15KXB"
      },
      "outputs": [],
      "execution_count": 19
    },
    {
      "cell_type": "code",
      "source": [
        "question = test_dataset[0]\n",
        "question"
      ],
      "metadata": {
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:55.252521Z",
          "iopub.execute_input": "2025-01-13T17:22:55.252814Z",
          "iopub.status.idle": "2025-01-13T17:22:55.271136Z",
          "shell.execute_reply.started": "2025-01-13T17:22:55.252786Z",
          "shell.execute_reply": "2025-01-13T17:22:55.270410Z"
        },
        "id": "23ILDKOL5KXB",
        "outputId": "39705808-eb2e-44a4-989b-b51a8ebbe62d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'input': 'What type of cells is Cyclophosphamide selective for, in terms of Aldehyde Dehydrogenase expression?',\n",
              " 'output': 'Cyclophosphamide is selective for cells that express low/no levels of Aldehyde Dehydrogenase.',\n",
              " 'instruction': 'Answer this question truthfully'}"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ],
      "execution_count": 20
    },
    {
      "cell_type": "markdown",
      "source": [
        "Now starting from a question of the dataset we want to generate an anser for each model, in order to compare the results."
      ],
      "metadata": {
        "id": "q-nGzLxdVv-0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "responseFEW = inference(question['input'], modelFEW, tokenizer)\n",
        "print(\"Response FEW shot: \", responseFEW)"
      ],
      "metadata": {
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:22:55.271808Z",
          "iopub.execute_input": "2025-01-13T17:22:55.272023Z",
          "iopub.status.idle": "2025-01-13T17:23:15.861376Z",
          "shell.execute_reply.started": "2025-01-13T17:22:55.271994Z",
          "shell.execute_reply": "2025-01-13T17:23:15.860506Z"
        },
        "id": "Scxy5VzV5KXB",
        "outputId": "03c6085b-7388-4a4a-d1bf-a4cc56f4652b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Response FEW shot:  I can't find information on the specific type of cells that Cyclophosphamide is selective for in terms of Aldehyde Dehydrogenase expression.\n"
          ]
        }
      ],
      "execution_count": 21
    },
    {
      "cell_type": "code",
      "source": [
        "response0 = inference(question['input'], model0, tokenizer)\n",
        "print(\"\\nResponse 0 shot: \", response0)"
      ],
      "metadata": {
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:23:15.862320Z",
          "iopub.execute_input": "2025-01-13T17:23:15.862672Z",
          "iopub.status.idle": "2025-01-13T17:23:17.238270Z",
          "shell.execute_reply.started": "2025-01-13T17:23:15.862637Z",
          "shell.execute_reply": "2025-01-13T17:23:17.237574Z"
        },
        "id": "E2iO01UZ5KXB",
        "outputId": "1e147818-62f3-4f0f-da49-06446f1298d4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Response 0 shot:  Cyclophosphamide is a chemotherapy medication that is selective for cells with high levels of aldehyde dehydrogenase (ALDH) 1. This enzyme is responsible for the metabolism of certain drugs, including cyclophosphamide.\n",
            "\n",
            "ALDH 1 is a specific isozyme of aldehyde dehydrogenase that is highly expressed in normal tissues, such as the liver, lungs, and bone marrow, but not in the tumor cells. This means that the drug is selectively metabolized in the cells with high levels of ALDH 1, reducing its accumulation in tumor cells and minimizing its toxicity to normal cells.\n",
            "\n",
            "\n"
          ]
        }
      ],
      "execution_count": 22
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Model Test"
      ],
      "metadata": {
        "id": "nVuYEfyh5KXB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Change with model folder\n",
        "trained_model = \"/content/medical-llama-v2\"\n",
        "\n",
        "model = AutoPeftModelForCausalLM.from_pretrained(\n",
        "    trained_model,\n",
        "    quantization_config=quant_config,\n",
        "    device_map={\"\": 0},\n",
        "    torch_dtype=torch.float32,\n",
        "    trust_remote_code=True\n",
        ")\n",
        "tokenizer = AutoTokenizer.from_pretrained(trained_model)"
      ],
      "metadata": {
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:23:17.239103Z",
          "iopub.execute_input": "2025-01-13T17:23:17.239418Z",
          "iopub.status.idle": "2025-01-13T17:23:23.462692Z",
          "shell.execute_reply.started": "2025-01-13T17:23:17.239384Z",
          "shell.execute_reply": "2025-01-13T17:23:23.461993Z"
        },
        "id": "yfj3m2vp5KXC"
      },
      "outputs": [],
      "execution_count": 23
    },
    {
      "cell_type": "code",
      "source": [
        "reponse = inference(question['input'], model, tokenizer)\n",
        "\n",
        "reponse"
      ],
      "metadata": {
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:23:23.463543Z",
          "iopub.execute_input": "2025-01-13T17:23:23.463801Z",
          "iopub.status.idle": "2025-01-13T17:23:28.208229Z",
          "shell.execute_reply.started": "2025-01-13T17:23:23.463779Z",
          "shell.execute_reply": "2025-01-13T17:23:28.207519Z"
        },
        "id": "FMcvy1_x5KXC",
        "outputId": "9b080302-8230-41ac-c1ca-b23ae75d5ce9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 104
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Cyclophosphamide is selective for lymphocytes. Lymphocytes are a type of white blood cell that plays a key role in the immune system, helping to fight off infections and diseases. Cyclophosphamide is a chemotherapy medication that is used to treat a variety of cancers, including lymphomas and leukemia. It works by interfering with the DNA replication process, which can lead to cell death. However, it can also affect the function of certain cells, including lymphocytes. Lymphocytes are particularly sensitive to Cyclophosphamide because they express a high level of Aldehyde Dehydrogenase, an enzyme that breaks'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 24
        }
      ],
      "execution_count": 24
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Comparison between the three models"
      ],
      "metadata": {
        "id": "24hrNDfsO0ZX"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "It is not feasible to accurately compare the three responses provided by the models merely through manual reading. Therefore, to evaluate the performance of our models, we utilize the BLEU score. The [BLEU](https://www.nltk.org/_modules/nltk/translate/bleu_score.html) score outputs a value between 0 and 1, where a value closer to 1 indicates a higher similarity between the candidate text and the reference text.\n",
        "\n",
        "The reference text used to compute the BLEU score corresponds to the answer associated with a specific question in the dataset."
      ],
      "metadata": {
        "id": "JBj_UlApj4Fm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from nltk.translate.bleu_score import sentence_bleu, SmoothingFunction\n",
        "\n",
        "nltk.download('punkt')\n",
        "\n",
        "# BLUE score between the candidate (generated answer) and the reference answer (taken from dataset)\n",
        "def calculate_bleu(reference, candidate):\n",
        "    try:\n",
        "      smoothing_function = SmoothingFunction().method1\n",
        "      score = sentence_bleu(reference, candidate, smoothing_function=smoothing_function)\n",
        "      return score\n",
        "    except Exception as e:\n",
        "      print(f\"Error during BLUE computing: {e}\")\n",
        "      return None"
      ],
      "metadata": {
        "id": "bgPTQB_qc37f",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:25:18.341777Z",
          "iopub.execute_input": "2025-01-13T17:25:18.342007Z",
          "iopub.status.idle": "2025-01-13T17:25:18.348304Z",
          "shell.execute_reply.started": "2025-01-13T17:25:18.341988Z",
          "shell.execute_reply": "2025-01-13T17:25:18.347515Z"
        },
        "outputId": "1a120c14-c2a1-4ba9-f9e3-904c3a3c5e26",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Package punkt is already up-to-date!\n"
          ]
        }
      ],
      "execution_count": 30
    },
    {
      "cell_type": "markdown",
      "source": [
        "In addition to the BLEU score, we also evaluate the models using the Cosine Similarity score. Cosine Similarity measures the cosine of the angle between two vectors in a multi-dimensional space, which in this case represents the vectorized forms of the candidate and reference texts. This score ranges from 0 to 1, where a value closer to 1 indicates a higher degree of similarity between the texts. Unlike BLEU, which focuses on exact n-gram matches, Cosine Similarity captures the semantic similarity between texts, making it useful for assessing how well the models capture the overall meaning and context."
      ],
      "metadata": {
        "id": "L0BSLH-Jg8QC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "from sklearn.metrics.pairwise import cosine_similarity\n",
        "\n",
        "def calculate_cosine_similarity(reference, candidate):\n",
        "    try:\n",
        "        # Vectorize the texts using TF-IDF\n",
        "        vectorizer = TfidfVectorizer()\n",
        "        tfidf_matrix = vectorizer.fit_transform([reference, candidate])\n",
        "\n",
        "        # Calculate cosine similarity\n",
        "        similarity = cosine_similarity(tfidf_matrix[0:1], tfidf_matrix[1:2])\n",
        "        return similarity[0][0]\n",
        "    except Exception as e:\n",
        "        print(f\"Error during cosine similarity computation: {e}\")\n",
        "        return None"
      ],
      "metadata": {
        "id": "QGZIdkDxf1xf"
      },
      "execution_count": 45,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Take 10 instances from testset\n",
        "test = test_dataset[:10]"
      ],
      "metadata": {
        "id": "GAS31dMvc37f",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:25:18.349211Z",
          "iopub.execute_input": "2025-01-13T17:25:18.349530Z",
          "iopub.status.idle": "2025-01-13T17:25:18.409564Z",
          "shell.execute_reply.started": "2025-01-13T17:25:18.349499Z",
          "shell.execute_reply": "2025-01-13T17:25:18.408847Z"
        }
      },
      "outputs": [],
      "execution_count": 26
    },
    {
      "cell_type": "code",
      "source": [
        "test"
      ],
      "metadata": {
        "id": "EbTmer27xNT5",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:25:18.410424Z",
          "iopub.execute_input": "2025-01-13T17:25:18.410719Z",
          "iopub.status.idle": "2025-01-13T17:25:18.423814Z",
          "shell.execute_reply.started": "2025-01-13T17:25:18.410689Z",
          "shell.execute_reply": "2025-01-13T17:25:18.423173Z"
        },
        "outputId": "68f77577-b936-4d26-ab64-1bd10e41c03b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'input': ['What type of cells is Cyclophosphamide selective for, in terms of Aldehyde Dehydrogenase expression?',\n",
              "  'What is the probable diagnosis for a patient who presents with ear pain on the right side that worsens during chewing, has nocturnal teeth grinding, and has a normal physical examination?',\n",
              "  'What are some causes of vitamin B7 (biotin) deficiency besides ingestion of raw eggs?',\n",
              "  'What are the most common causes of hypoparathyroidism, and what are some less common causes?',\n",
              "  'How does the velocity of shortening of cardiac muscle change in response to an increase in afterload?',\n",
              "  'What is the gelatinous structure in which the cilia on the hair cells of the semicircular canal are embedded?',\n",
              "  'What is the difference between parasympathetic output and CN III oculomotor output, and which type of CN III output is peripheral and which is central?',\n",
              "  'What happens to forward stroke volume in compensated chronic mitral regurgitation?',\n",
              "  'What are the characteristic ECG features of Brugada syndrome and which leads show these changes?',\n",
              "  'Does the rectum below the pectinate line drain into the portal or systemic circulation?'],\n",
              " 'output': ['Cyclophosphamide is selective for cells that express low/no levels of Aldehyde Dehydrogenase.',\n",
              "  'The likely diagnosis for this patient is temporomandibular joint dysfunction (TMJ). TMJ is a condition that affects the temporomandibular joint, which is the joint that connects the jawbone to the skull. Symptoms of TMJ can include ear pain, pain or discomfort in the jaw joint, difficulty or discomfort while chewing, and clicking or popping sounds when opening or closing the mouth. Nocturnal teeth grinding, also known as bruxism, is a common associated symptom of TMJ. A normal physical examination does not rule out the diagnosis of TMJ, as the condition is typically diagnosed based on symptoms and a thorough medical history. Treatment for TMJ may involve pain medication, physical therapy, or the use of a mouthguard or splint to help alleviate symptoms. In some cases, more invasive treatments such as surgery may be necessary.',\n",
              "  \"In addition to ingestion of raw eggs, vitamin B7 (biotin) deficiency may occur with antibiotic use or biotinidase deficiency. Biotin is a water-soluble vitamin that is important for the metabolism of carbohydrates, fats, and proteins. It is found in a variety of foods, including egg yolks, liver, and nuts. However, biotin is also produced by bacteria in the gut, so deficiency is rare in healthy individuals. Antibiotics can disrupt the gut microbiome and reduce biotin production, leading to deficiency. Biotinidase deficiency is a rare genetic disorder that impairs the body's ability to recycle biotin from food. Symptoms of biotin deficiency include hair loss, skin rash, and neurological symptoms such as depression and seizures. Treatment involves supplementation with biotin.\",\n",
              "  'The most common cause of hypoparathyroidism is thyroid surgery, which can damage or remove the parathyroid glands. Less commonly, hypoparathyroidism may be caused by autoimmune disorders or congenital conditions.',\n",
              "  'The velocity of shortening of cardiac muscle decreases as afterload increases. Afterload is the resistance that the heart must overcome to eject blood from the left ventricle into the systemic circulation. As afterload increases, the heart has to work harder to overcome this resistance, which can lead to a decrease in the velocity of shortening of cardiac muscle. This can have important clinical implications, as changes in afterload can affect cardiac function and contribute to the development of heart failure.',\n",
              "  'The gelatinous structure in which the cilia on the hair cells of the semicircular canal are embedded is called the cupula.',\n",
              "  'Parasympathetic output and CN III oculomotor output are two different types of output associated with the third cranial nerve (CN III). Parasympathetic output refers to the part of the nerve that controls the autonomic nervous system, specifically the parasympathetic division. This output is considered peripheral CN III. On the other hand, CN III oculomotor output refers to the part of the nerve that controls eye movement and is considered central CN III. The oculomotor output is responsible for controlling the movement of several muscles in the eye, including the levator palpebrae superioris, superior rectus, medial rectus, inferior rectus, and inferior oblique muscles. The parasympathetic output of CN III is responsible for controlling the size of the pupil and the shape of the lens.',\n",
              "  'In compensated chronic mitral regurgitation, there is no change in forward stroke volume. Mitral regurgitation is a condition in which blood flows back into the left atrium of the heart during systole, rather than being pumped out into the aorta. In compensated chronic mitral regurgitation, the heart is able to adapt to this increased workload by enlarging and increasing its contractility. This allows it to maintain cardiac output and blood pressure despite the regurgitation. However, the amount of blood that is pumped out of the heart with each beat (forward stroke volume) remains the same. This is because the increased contractility of the heart compensates for the regurgitation, allowing it to pump out the same amount of blood with each beat. Understanding the changes that occur in the heart and circulatory system in chronic mitral regurgitation is an important part of diagnosing and treating this condition, and it requires a deep understanding of cardiovascular physiology.',\n",
              "  'Brugada syndrome is characterized by an ECG pattern of pseudo-right bundle branch block and ST elevations in leads V1 - V3.',\n",
              "  'The rectum below the pectinate line drains into the systemic circulation.'],\n",
              " 'instruction': ['Answer this question truthfully',\n",
              "  'Answer this question truthfully',\n",
              "  'Answer this question truthfully',\n",
              "  'Answer this question truthfully',\n",
              "  'Answer this question truthfully',\n",
              "  'Answer this question truthfully',\n",
              "  'Answer this question truthfully',\n",
              "  'Answer this question truthfully',\n",
              "  'Answer this question truthfully',\n",
              "  'Answer this question truthfully']}"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ],
      "execution_count": 27
    },
    {
      "cell_type": "code",
      "source": [
        "scores_base = []\n",
        "scores_zero = []\n",
        "scores_few = []\n",
        "\n",
        "cosine_base = []\n",
        "cosine_zero = []\n",
        "cosine_few = []\n",
        "\n",
        "for i, question in enumerate(test['input']):\n",
        "  print(\"Question:\", question)\n",
        "  reference = test['output'][i]\n",
        "  print(\"Reference Answer:\", reference)\n",
        "\n",
        "  # Base model\n",
        "  responseBase = inference(question, model, tokenizer)\n",
        "  bleu = calculate_bleu(reference, responseBase.split())\n",
        "  cosine = calculate_cosine_similarity(reference, responseBase)\n",
        "  scores_base.append(bleu)\n",
        "  cosine_base.append(cosine)\n",
        "  print(\"Response base model: \", responseBase)\n",
        "\n",
        "  # 0 shot model\n",
        "  responseZero = inference(question, model0, tokenizer)\n",
        "  bleu = calculate_bleu(reference, responseZero.split())\n",
        "  cosine = calculate_cosine_similarity(reference, responseZero)\n",
        "  scores_zero.append(bleu)\n",
        "  cosine_zero.append(cosine)\n",
        "  print(\"Response 0 shot: \", responseZero)\n",
        "\n",
        "  # Few shot model\n",
        "  responseFEW = inference(question, modelFEW, tokenizer)\n",
        "  bleu = calculate_bleu(reference, responseFEW.split())\n",
        "  cosine = calculate_cosine_similarity(reference, responseFEW)\n",
        "  scores_few.append(bleu)\n",
        "  cosine_few.append(cosine)\n",
        "  print(\"Response FEW shot: \", responseFEW)"
      ],
      "metadata": {
        "id": "zYx34yc9PUCK",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f5c76429-67c1-4b00-bc5e-87dcc621566c"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Question: What type of cells is Cyclophosphamide selective for, in terms of Aldehyde Dehydrogenase expression?\n",
            "Reference Answer: Cyclophosphamide is selective for cells that express low/no levels of Aldehyde Dehydrogenase.\n",
            "Response base model:  Cyclophosphamide is selective for a subset of lymphocytes, which have high expression of Aldehyde Dehydrogenase. This enzyme is involved in the metabolism of certain drugs, including cyclophosphamide, and is present in a subset of immune cells such as T cells and B cells. By selectively targeting these cells, cyclophosphamide can exert its anti-cancer effects without affecting other cells. This property makes cyclophosphamide useful for treating various types of cancer, including lymphomas and leukemia.\n",
            "Response 0 shot:  I can't answer that question.\n",
            "Response FEW shot:  Cyclophosphamide is a chemotherapeutic agent that is selective for cells expressing the enzyme aldehyde dehydrogenase 2 (ALDH2). It is a type of enzyme that catalyzes the conversion of 4-hydroxycyclophosphine to 4-hydroxycyclophosphine, which is then metabolized to form 4-hydroxycyclophosphine and phosphoribosyl pyrophosphate.\n",
            "\n",
            "ALDH2 is a specific isoform of the enzyme, which is responsible for the detoxification of 4-hydroxycyclophosph\n",
            "Question: What is the probable diagnosis for a patient who presents with ear pain on the right side that worsens during chewing, has nocturnal teeth grinding, and has a normal physical examination?\n",
            "Reference Answer: The likely diagnosis for this patient is temporomandibular joint dysfunction (TMJ). TMJ is a condition that affects the temporomandibular joint, which is the joint that connects the jawbone to the skull. Symptoms of TMJ can include ear pain, pain or discomfort in the jaw joint, difficulty or discomfort while chewing, and clicking or popping sounds when opening or closing the mouth. Nocturnal teeth grinding, also known as bruxism, is a common associated symptom of TMJ. A normal physical examination does not rule out the diagnosis of TMJ, as the condition is typically diagnosed based on symptoms and a thorough medical history. Treatment for TMJ may involve pain medication, physical therapy, or the use of a mouthguard or splint to help alleviate symptoms. In some cases, more invasive treatments such as surgery may be necessary.\n",
            "Response base model:  The likely diagnosis for the patient's condition is temporomandibular joint (TMJ) disorder. TMJ disorders are a common cause of ear pain, especially during chewing, and can also cause other symptoms such as ear fullness, ear pain, and difficulty opening the mouth. The presence of nocturnal teeth grinding and a normal physical examination can also be indicative of TMJ disorder. Treatment for TMJ disorder may include physical therapy, medication to reduce pain and inflammation, and in some cases, surgery.\n",
            "Response 0 shot:  Based on the symptoms you've described, here's a probable diagnosis:\n",
            "\n",
            "**Possible Diagnosis:**\n",
            "\n",
            "* Temporomandibular Joint (TMJ) disorder\n",
            "\n",
            "**Explanation:**\n",
            "\n",
            "1. **Ear pain worsens during chewing**: TMJ disorders often cause pain when opening or closing the mouth, which is more pronounced during activities like chewing, eating, or speaking.\n",
            "2. **Nocturnal teeth grinding**: Grinding or clenching of the teeth at night can put additional stress on the TMJ, leading to inflammation and irritation, which can worsen symptoms.\n",
            "3. **Normal physical examination**: The absence of other symptoms like fever\n",
            "Response FEW shot:  Given the symptoms of ear pain on the right side that worsens during chewing and nocturnal teeth grinding, and a normal physical examination, the probable diagnosis is likely to be Temporomandibular Joint (TMJ) disorder or Temporomandibular Joint Dysfunction (TMD).\n",
            "\n",
            "TMJ disorders can cause pain and discomfort in the jaw joint, which connects the jawbone to the skull. The symptoms can worsen when the jaw is in a certain position, such as when chewing or talking. The pain can be felt on the side of the face, including the ear.\n",
            "\n",
            "The nocturnal teeth grinding (also known as br\n",
            "Question: What are some causes of vitamin B7 (biotin) deficiency besides ingestion of raw eggs?\n",
            "Reference Answer: In addition to ingestion of raw eggs, vitamin B7 (biotin) deficiency may occur with antibiotic use or biotinidase deficiency. Biotin is a water-soluble vitamin that is important for the metabolism of carbohydrates, fats, and proteins. It is found in a variety of foods, including egg yolks, liver, and nuts. However, biotin is also produced by bacteria in the gut, so deficiency is rare in healthy individuals. Antibiotics can disrupt the gut microbiome and reduce biotin production, leading to deficiency. Biotinidase deficiency is a rare genetic disorder that impairs the body's ability to recycle biotin from food. Symptoms of biotin deficiency include hair loss, skin rash, and neurological symptoms such as depression and seizures. Treatment involves supplementation with biotin.\n",
            "Response base model:  Vitamin B7 (biotin) deficiency can also be caused by poor absorption, which can be due to a variety of factors. In addition to ingestion of raw eggs, other causes of vitamin B7 deficiency include gastrointestinal disorders such as celiac disease, Crohn's disease, and ulcerative colitis, as well as certain medications such as antacids and proton pump inhibitors. It is also important to note that vitamin B7 is a fat-soluble vitamin, which means that it needs to be taken in conjunction with a healthy diet to avoid deficiency. Foods that are rich in vitamin B7 include nuts, seeds, and\n",
            "Response 0 shot:  Vitamin B7 (biotin) deficiency can occur due to various reasons besides the ingestion of raw eggs. Here are some of the possible causes:\n",
            "\n",
            "1. **Poor diet**: A diet lacking in biotin-rich foods can lead to deficiency. Biotin is an essential nutrient that is found in small amounts in foods such as nuts, leafy greens, and whole grains.\n",
            "\n",
            "2. **Vitamin B12 deficiency**: Vitamin B12 is often linked to biotin because they are synthesized together in the body. A deficiency in vitamin B12 can lead to biotin deficiency.\n",
            "\n",
            "3. **Gastrointestinal issues**:\n",
            "Response FEW shot:  Vitamin B7, also known as biotin, is an essential nutrient that plays a crucial role in various bodily functions, including metabolism, energy production, and skin health. While ingesting raw eggs can be a source of biotin, there are other potential causes of deficiency. Here are some possible causes of biotin deficiency besides ingestion of raw eggs:\n",
            "\n",
            "1. **Poor diet**: A diet lacking in biotin-rich foods can lead to deficiency. Biotin is found in foods like nuts, seeds, legumes, whole grains, and some types of fish.\n",
            "2. **Vegetarian or vegan diet**:\n",
            "Question: What are the most common causes of hypoparathyroidism, and what are some less common causes?\n",
            "Reference Answer: The most common cause of hypoparathyroidism is thyroid surgery, which can damage or remove the parathyroid glands. Less commonly, hypoparathyroidism may be caused by autoimmune disorders or congenital conditions.\n",
            "Response base model:  Hypoparathyroidism is a condition characterized by low levels of parathyroid hormone (PTH) in the blood. The most common cause of hypoparathyroidism is autoimmune destruction of the parathyroid glands, which can be caused by thyroid disorders such as Graves' disease. Other less common causes of hypoparathyroidism include genetic disorders such as Multiple Endocrine Neoplasia type 1 (MEN 1) and familial isolated hypoparathyroidism (FIH). These conditions are characterized by the presence of multiple endocrine tumors or genetic mutations that affect the function of the parathy\n",
            "Response 0 shot:  Hypoparathyroidism is a rare endocrine disorder that affects the parathyroid glands. The most common causes of hypoparathyroidism are:\n",
            "\n",
            "**Common causes:**\n",
            "\n",
            "1. **Hyperparathyroidism**: This is the most common cause of hypoparathyroidism. It is usually caused by a parathyroid adenoma (benign tumor) in the neck, which leads to an overproduction of parathyroid hormone (PTH), causing the parathyroid glands to become enlarged. This can be due to genetic mutations, radiation exposure, or other factors.\n",
            "\n",
            "**Less common causes:**\n",
            "\n",
            "1\n",
            "Response FEW shot:  Hypoparathyroidism is a rare endocrine disorder characterized by an overproduction of parathyroid hormone (PTH). Here are the most common causes and some less common causes:\n",
            "\n",
            "**Common causes:**\n",
            "\n",
            "1. **Benign tumors**: Benign tumors, such as adenomas or hyperplastic cysts, can cause hypoparathyroidism by producing excessive PTH.\n",
            "2. **Medications**: Certain medications, including calcium channel blockers, can increase PTH levels by blocking calcium channels.\n",
            "3. **Cushing's syndrome**: Cushing's syndrome, a hormonal disorder caused by excess cortisol, can cause hypop\n",
            "Question: How does the velocity of shortening of cardiac muscle change in response to an increase in afterload?\n",
            "Reference Answer: The velocity of shortening of cardiac muscle decreases as afterload increases. Afterload is the resistance that the heart must overcome to eject blood from the left ventricle into the systemic circulation. As afterload increases, the heart has to work harder to overcome this resistance, which can lead to a decrease in the velocity of shortening of cardiac muscle. This can have important clinical implications, as changes in afterload can affect cardiac function and contribute to the development of heart failure.\n",
            "Response base model:  In response to an increase in afterload, the velocity of shortening of cardiac muscle decreases. Afterload is the resistance to blood flow in the systemic circulation, and when afterload increases, it can lead to a decrease in the heart's ability to pump blood effectively. This is because the heart muscle must work harder to pump blood through the increased resistance, which can lead to a decrease in the heart's ability to contract and relax efficiently. In response to an increase in afterload, the heart muscle may shorten less quickly or at a slower rate, which can lead to a decrease in the heart's efficiency and a potential increase in the risk\n",
            "Response 0 shot:  When afterload increases, the velocity of shortening (or shortening velocity) of cardiac muscle decreases. This is a fundamental concept in cardiovascular physiology.\n",
            "\n",
            "Afterload refers to the resistance or pressure exerted by the cardiac muscle on the heart. An increase in afterload means that the heart has to work harder to pump blood out of the heart and to the body. This increased workload puts additional stress on the cardiac muscle, leading to a decrease in its shortening velocity.\n",
            "\n",
            "To understand why, let's consider the relationship between afterload and shortening velocity:\n",
            "\n",
            "1. **Increased afterload**: With an increase in afterload, the cardiac muscle\n",
            "Response FEW shot:  In cardiac muscle, the velocity of shortening (also known as the velocity of shortening velocity, VSM) is a critical parameter that is influenced by the afterload, which is the resistance to blood flow through the heart muscle.\n",
            "\n",
            "When afterload increases, the heart muscle contracts more forcefully to pump blood out to the body. As a result, the muscle fibers shorten faster and more forcefully.\n",
            "\n",
            "Here's a simplified explanation of the relationship between afterload and VSM:\n",
            "\n",
            "1. **Increased afterload**: As afterload increases, the heart muscle contracts more forcefully to pump blood out to the body. This requires more energy from the muscle fibers\n",
            "Question: What is the gelatinous structure in which the cilia on the hair cells of the semicircular canal are embedded?\n",
            "Reference Answer: The gelatinous structure in which the cilia on the hair cells of the semicircular canal are embedded is called the cupula.\n",
            "Response base model:  The cilia on the hair cells of the semicircular canal are embedded in the cupula of the cochlea. The cupula is a gelatinous structure that surrounds the hair cells and is responsible for detecting movement in the fluid of the inner ear. The cilia on the hair cells of the semicircular canal are embedded in the cupula and help to detect movement in the fluid of the inner ear. This helps to transmit vibrations from the environment to the hair cells, which are then transmitted to the brain via the auditory nerve. This process is called the vestibular system and is important for maintaining balance and spatial orientation in the\n",
            "Response 0 shot:  The answer is: The otolith organs (also known as the vestibular organs).\n",
            "\n",
            "The cilia on the hair cells of the semicircular canals in the inner ear are embedded in a gelatinous structure called the otolith organs (also known as the vestibular organs). The otolith organs are a pair of small, gelatinous structures that are embedded in the otoliths, which are small, calcium carbonate-based crystals embedded in the fluid of the inner ear. The otoliths are responsible for detecting linear acceleration and gravity, which helps to regulate balance and maintain posture.\n",
            "\n",
            "The cilia on the hair cells of the\n",
            "Response FEW shot:  The gelatinous structure in which the cilia on the hair cells of the semicircular canal are embedded is called a cupula.\n",
            "Question: What is the difference between parasympathetic output and CN III oculomotor output, and which type of CN III output is peripheral and which is central?\n",
            "Reference Answer: Parasympathetic output and CN III oculomotor output are two different types of output associated with the third cranial nerve (CN III). Parasympathetic output refers to the part of the nerve that controls the autonomic nervous system, specifically the parasympathetic division. This output is considered peripheral CN III. On the other hand, CN III oculomotor output refers to the part of the nerve that controls eye movement and is considered central CN III. The oculomotor output is responsible for controlling the movement of several muscles in the eye, including the levator palpebrae superioris, superior rectus, medial rectus, inferior rectus, and inferior oblique muscles. The parasympathetic output of CN III is responsible for controlling the size of the pupil and the shape of the lens.\n",
            "Response base model:  The difference between parasympathetic output and CN III oculomotor output is that CN III output is peripheral, whereas CN III oculomotor output is central. CN III is one of the cranial nerves that controls the muscles of the eye, including the superior rectus, medial rectus, inferior rectus, and inferior oblique muscles. Parasympathetic output, on the other hand, is the type of CN III output that is mediated by the autonomic nervous system and is responsible for the regulation of the eye's size and focus. In contrast, CN III oculomotor output is the type\n",
            "Response 0 shot:  In the autonomic nervous system (ANS), the oculomotor nerve (CN III) is a cranial nerve that controls eye movements. The main differences between parasympathetic and sympathetic output from CN III are:\n",
            "\n",
            "1. Function:\n",
            "   - **Parasympathetic output:** Regulates the constriction of the pupil and accommodation (focusing the lens) for near vision. It is primarily responsible for the'rest and digest' functions.\n",
            "   - **Sympathetic output:** Regulates the constriction of pupils, but also has a role in heart rate, blood pressure, and the 'fight or flight\n",
            "Response FEW shot:  In the autonomic nervous system (ANS), the parasympathetic output and the cranial nerve III (CN III) oculomotor output are two distinct types of parasympathetic and sympathetic outputs.\n",
            "\n",
            "**Parasympathetic Output:**\n",
            "\n",
            "The parasympathetic output is a type of parasympathetic output that is involved in the regulation of the body's internal environment, particularly in relation to the autonomic nervous system's \"rest and digest\" functions. The parasympathetic output of CN III is responsible for:\n",
            "\n",
            "* Decreasing the heart rate and promoting relaxation\n",
            "* Increasing the\n",
            "Question: What happens to forward stroke volume in compensated chronic mitral regurgitation?\n",
            "Reference Answer: In compensated chronic mitral regurgitation, there is no change in forward stroke volume. Mitral regurgitation is a condition in which blood flows back into the left atrium of the heart during systole, rather than being pumped out into the aorta. In compensated chronic mitral regurgitation, the heart is able to adapt to this increased workload by enlarging and increasing its contractility. This allows it to maintain cardiac output and blood pressure despite the regurgitation. However, the amount of blood that is pumped out of the heart with each beat (forward stroke volume) remains the same. This is because the increased contractility of the heart compensates for the regurgitation, allowing it to pump out the same amount of blood with each beat. Understanding the changes that occur in the heart and circulatory system in chronic mitral regurgitation is an important part of diagnosing and treating this condition, and it requires a deep understanding of cardiovascular physiology.\n",
            "Response base model:  In compensated chronic mitral regurgitation, forward stroke volume is increased. Mitral regurgitation is a condition in which the mitral valve does not close properly, allowing blood to flow backward into the left atrium during systole. This can lead to an increase in the volume of blood that is pumped out of the heart, resulting in an increase in forward stroke volume. In compensated chronic mitral regurgitation, the heart is able to pump blood efficiently and effectively, despite the presence of mitral regurgitation. This is because the heart has adapted to the chronic condition and is able to compensate by increasing forward stroke volume.\n",
            "Response 0 shot:  In compensated chronic mitral regurgitation (CMR), forward stroke volume (FSV) is actually decreased. This is because the mitral valve leaflets are not fully closed, allowing blood to flow back into the left atrium (LA) during systole.\n",
            "\n",
            "As a result, the ventricle's ability to pump blood into the aorta is impaired, leading to a decrease in forward stroke volume (FSV). The ventricle's ability to pump blood is further exacerbated by the increased pressure gradient across the mitral valve, which results in a higher pressure gradient across the pulmonary valve during diastole, leading to decreased\n",
            "Response FEW shot:  In compensated chronic mitral regurgitation (CMR), the forward stroke volume (FSV) is typically preserved or slightly decreased.\n",
            "\n",
            "Mitral regurgitation occurs when the mitral valve does not close properly, allowing blood to leak back into the left atrium. In compensated CMR, the mitral valve is already dilated, which reduces the pressure gradient across the valve. As a result, the volume of blood that flows through the mitral valve is already at a minimum.\n",
            "\n",
            "In compensated CMR, the ventricle is able to pump a sufficient volume of blood to meet the body's needs, but the forward stroke volume\n",
            "Question: What are the characteristic ECG features of Brugada syndrome and which leads show these changes?\n",
            "Reference Answer: Brugada syndrome is characterized by an ECG pattern of pseudo-right bundle branch block and ST elevations in leads V1 - V3.\n",
            "Response base model:  Brugada syndrome is characterized by a \"coved\" T wave in leads I, V, and V6, and a \"V wave\" in leads II, III, and aVF. These changes are associated with an increased risk of sudden cardiac death and are often seen in conjunction with other electrocardiographic (ECG) findings such as ST elevation in leads II, III, and aVF. The ECG changes associated with Brugada syndrome are thought to be caused by abnormal electrical activity in the heart, which can lead to abnormal repolarization and increased risk of arrhythmias. Brugada syndrome is a\n",
            "Response 0 shot:  Brugada syndrome (BRS) is a genetic disorder that affects the heart's electrical system. The characteristic ECG features of Brugada syndrome include:\n",
            "\n",
            "1. **J-point elevation**: A sharp, upward deflection (J-point) in the ST segment, typically above 0.5 mV.\n",
            "2. **Right bundle branch block (RBBB)**: A characteristic right bundle branch block pattern, often with a \"saddleback\" or \"saddle-shaped\" RBBB.\n",
            "3. **Strawberry pattern**: A characteristic \"strawberry\" pattern of the T-wave, with a long, narrow\n",
            "Response FEW shot:  Brugada syndrome (BRS) is a type of long QT interval (LQI) disorder characterized by distinctive ECG features. The key ECG features of Brugada syndrome include:\n",
            "\n",
            "1. **T-wave inversion in leads V1-V2 and V3-V4**: This is the most characteristic ECG feature of Brugada syndrome. T-wave inversion in these leads is often seen in BRS.\n",
            "2. **S-T segment depression**: The S-T segment is typically elevated, but in BRS, it is often depressed or flattened.\n",
            "3. **QRS complex widening**: The QRS complex may be widened\n",
            "Question: Does the rectum below the pectinate line drain into the portal or systemic circulation?\n",
            "Reference Answer: The rectum below the pectinate line drains into the systemic circulation.\n",
            "Response base model:  The rectum below the pectinate line drains into the portal circulation. The pectinate line is a landmark on the anterior abdominal wall that marks the point at which the rectum begins to empty into the pelvic cavity. The rectum is a tube-like organ that extends from the rectum of the colon to the anus. It is responsible for absorbing water and electrolytes from the colon and storing stool until it is eliminated. The rectum is divided into three parts: the ascending, transverse, and descending colon. The ascending colon is the upper part of the colon that extends from the ileocecal valve to the junction of the\n",
            "Response 0 shot:  The rectum below the pectinate line is part of the rectal veins, which are part of the portal circulation. The rectal veins drain into the inferior mesenteric vein (IMV), which is part of the portal venous system.\n",
            "Response FEW shot:  The rectum below the pectinate line (also known as the pectinate valve) is part of the rectum and does drain into the rectal veins. However, it is not directly into the portal circulation.\n",
            "\n",
            "The rectum is a part of the large intestine, and it is the lowest part of the rectum that is above the pectinate line. The pectinate line is a muscular ridge in the rectum that separates the rectal canal from the rectal pouch.\n",
            "\n",
            "The rectal veins, which include the superior rectal vein and the inferior rectal vein, drain into the inferior mesenteric vein.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "mean_base = np.mean(scores_base)\n",
        "mean_zero = np.mean(scores_zero)\n",
        "mean_few = np.mean(scores_few)\n",
        "\n",
        "print(f\"\\n-> Average BLEU score for Base model: {mean_base}\")\n",
        "print(f\"-> Average BLEU score for 0-shot model: {mean_zero}\")\n",
        "print(f\"-> Average BLEU score for Few-shot model: {mean_few}\")\n",
        "\n",
        "# Table to view all scores\n",
        "table = list(zip(scores_base, scores_zero, scores_few))\n",
        "\n",
        "print('BLEU score')\n",
        "print(tabulate(table, headers=['Base Model', '0 Shot', 'Few Shot'], tablefmt='grid'))"
      ],
      "metadata": {
        "id": "TEco-ZdiRVgq",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "bd4dabdb-f934-483d-e0db-713a6270ed4d"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "-> Average BLEU score for Base model: 0.001718107591592692\n",
            "-> Average BLEU score for 0-shot model: 0.0017713895384982616\n",
            "-> Average BLEU score for Few-shot model: 0.0017705966600592368\n",
            "BLEU score\n",
            "+--------------+------------+------------+\n",
            "|   Base Model |     0 Shot |   Few Shot |\n",
            "+==============+============+============+\n",
            "|   0.00208004 | 0.00248741 | 0.0028457  |\n",
            "+--------------+------------+------------+\n",
            "|   0.00188191 | 0.00178733 | 0.0018622  |\n",
            "+--------------+------------+------------+\n",
            "|   0.0018429  | 0          | 0.00215569 |\n",
            "+--------------+------------+------------+\n",
            "|   0.00218214 | 0.00267448 | 0.0025227  |\n",
            "+--------------+------------+------------+\n",
            "|   0.00168567 | 0.00180548 | 0.0019226  |\n",
            "+--------------+------------+------------+\n",
            "|   0.0017018  | 0          | 0          |\n",
            "+--------------+------------+------------+\n",
            "|   0          | 0.00220926 | 0          |\n",
            "+--------------+------------+------------+\n",
            "|   0.0018429  | 0.00194362 | 0.00200952 |\n",
            "+--------------+------------+------------+\n",
            "|   0.00226192 | 0.00294412 | 0.00256356 |\n",
            "+--------------+------------+------------+\n",
            "|   0.0017018  | 0.0018622  | 0.001824   |\n",
            "+--------------+------------+------------+\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "mean_base = np.mean(cosine_base)\n",
        "mean_zero = np.mean(cosine_zero)\n",
        "mean_few = np.mean(cosine_few)\n",
        "\n",
        "print(f\"\\n-> Average cosine similarity score for Base model: {mean_base}\")\n",
        "print(f\"-> Average cosine similarity score for 0-shot model: {mean_zero}\")\n",
        "print(f\"-> Average cosine similarity score for Few-shot model: {mean_few}\")\n",
        "\n",
        "# Table to view all scores\n",
        "table = list(zip(scores_base, scores_zero, scores_few))\n",
        "\n",
        "print('Cosine similarity score')\n",
        "print(tabulate(table, headers=['Base Model', '0 Shot', 'Few Shot'], tablefmt='grid'))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "icdj-IxSeejS",
        "outputId": "eaf93bf7-b5df-4b7b-d7a0-914240f7d11c"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "-> Average cosine similarity score for Base model: 0.6018927768649033\n",
            "-> Average cosine similarity score for 0-shot model: 0.5079889759730767\n",
            "-> Average cosine similarity score for Few-shot model: 0.5735498278297059\n",
            "Cosine similarity score\n",
            "+--------------+------------+------------+\n",
            "|   Base Model |     0 Shot |   Few Shot |\n",
            "+==============+============+============+\n",
            "|   0.00248741 | 0          | 0.00320476 |\n",
            "+--------------+------------+------------+\n",
            "|   0.0023248  | 0.00212987 | 0.0018622  |\n",
            "+--------------+------------+------------+\n",
            "|   0.0018429  | 0.00203249 | 0.00238973 |\n",
            "+--------------+------------+------------+\n",
            "|   0.00218214 | 0.00241971 | 0.00238722 |\n",
            "+--------------+------------+------------+\n",
            "|   0.00162408 | 0.00178733 | 0.00176954 |\n",
            "+--------------+------------+------------+\n",
            "|   0.00163905 | 0.0018429  | 0.00913442 |\n",
            "+--------------+------------+------------+\n",
            "|   0          | 0.00220926 | 0.00223705 |\n",
            "+--------------+------------+------------+\n",
            "|   0.00175211 | 0.00194362 | 0.00188191 |\n",
            "+--------------+------------+------------+\n",
            "|   0.00233691 | 0.00255901 | 0.00220926 |\n",
            "+--------------+------------+------------+\n",
            "|   0.0017018  | 0          | 0.00188191 |\n",
            "+--------------+------------+------------+\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "From the results above, we observe that the three models produce very similar BLEU scores. So to select the best-performing model, we consider the Cosine Similairty score. The model with the best result is the Base Model, which was trained on the Medical Meadow dataset. Therefore, we will proceed with this model in the remainder of this notebook, rather than the other two."
      ],
      "metadata": {
        "id": "cJLGg5l8dHZ4"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Compare our model with MedAlpaca"
      ],
      "metadata": {
        "id": "uJGGWVExc37f"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "We want to use [MedAlpaca](https://huggingface.co/medalpaca/medalpaca-7b) as benchmark to test the quality of our fine-tuning.\n",
        "\n",
        "***medalpaca-7b*** is a large language model specifically fine-tuned for medical domain tasks. It is based on LLaMA (Large Language Model Meta AI) and contains 7 billion parameters. The primary goal of this model is to improve question-answering and medical dialogue tasks."
      ],
      "metadata": {
        "id": "ennfkv3vjRbE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Function to download MedAlpaca model and tokenizer\n",
        "def setup_medAlpaca():\n",
        "    try:\n",
        "        # try not quantize model\n",
        "        model = AutoModelForCausalLM.from_pretrained(\n",
        "            \"medalpaca/medalpaca-7b\",\n",
        "            trust_remote_code=True,\n",
        "            device_map='auto',\n",
        "            torch_dtype=torch.float16\n",
        "        )\n",
        "\n",
        "        tokenizer = AutoTokenizer.from_pretrained(\"medalpaca/medalpaca-7b\")\n",
        "\n",
        "        return model, tokenizer\n",
        "\n",
        "    except Exception as e:\n",
        "        print(f\"Error: {str(e)}\")\n",
        "        print(f\"Python version: {sys.version}\")\n",
        "        if torch.cuda.is_available():\n",
        "            print(f\"GPU: {torch.cuda.get_device_name()}\")\n",
        "        return None, None"
      ],
      "metadata": {
        "id": "6eAja8tHc37f",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:23:28.209089Z",
          "iopub.execute_input": "2025-01-13T17:23:28.209372Z",
          "iopub.status.idle": "2025-01-13T17:23:28.213903Z",
          "shell.execute_reply.started": "2025-01-13T17:23:28.209350Z",
          "shell.execute_reply": "2025-01-13T17:23:28.213183Z"
        }
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Setup\n",
        "modelMED, tokenizerMED = setup_medAlpaca()"
      ],
      "metadata": {
        "id": "OomPFh1yc37f",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:23:28.218860Z",
          "iopub.execute_input": "2025-01-13T17:23:28.219057Z",
          "iopub.status.idle": "2025-01-13T17:25:18.337866Z",
          "shell.execute_reply.started": "2025-01-13T17:23:28.219040Z",
          "shell.execute_reply": "2025-01-13T17:25:18.337174Z"
        },
        "colab": {
          "referenced_widgets": [
            "5e9347fc58084cceb9d56550fa6d753f"
          ]
        },
        "outputId": "a5330d7e-5b71-4f37-fbcc-7b9db879d2ab"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]",
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "5e9347fc58084cceb9d56550fa6d753f"
            }
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "alpaca_bleu = []\n",
        "our_bleu = []"
      ],
      "metadata": {
        "id": "_vyh3DvPc37f",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:25:18.424513Z",
          "iopub.execute_input": "2025-01-13T17:25:18.424799Z",
          "iopub.status.idle": "2025-01-13T17:25:18.434314Z",
          "shell.execute_reply.started": "2025-01-13T17:25:18.424773Z",
          "shell.execute_reply": "2025-01-13T17:25:18.433654Z"
        }
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Preprompt used also from our model\n",
        "instruction = \"Answer this question truthfully: \"\n",
        "\n",
        "# medAlpaca\n",
        "print(\"MedAlpaca\")\n",
        "\n",
        "# A question is in the field input of an instance of the testset\n",
        "for i, question in enumerate(test['input']):\n",
        "    print(f\"\\nQuestion: {question}\")\n",
        "\n",
        "    input_text = instruction + question\n",
        "\n",
        "    # Tokenize\n",
        "    input_ids = tokenizerMED(input_text, return_tensors='pt').to(modelMED.device)[\"input_ids\"]\n",
        "\n",
        "    # Generate response\n",
        "    outputs = modelMED.generate(input_ids, max_new_tokens=128)\n",
        "    response = tokenizerMED.decode(outputs[0])\n",
        "\n",
        "    # Clean response by remove the question (NOT WORKING)\n",
        "    clean_response = re.sub(r'.*?\\? ', '', response, flags=re.DOTALL)\n",
        "\n",
        "    print(\"   Response MedAlpaca:\", clean_response)\n",
        "\n",
        "    # Comput BLEU score between generated answer and answer in testset\n",
        "    candidate = clean_response.split()\n",
        "    bleu_score = calculate_bleu(test['output'][i], candidate)\n",
        "\n",
        "    if bleu_score is not None:\n",
        "        print(f\"BLEU score for Llama answer {i}: {bleu_score}\")\n",
        "        # Append score to a list\n",
        "        alpaca_bleu.append(bleu_score)"
      ],
      "metadata": {
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:25:18.435133Z",
          "iopub.execute_input": "2025-01-13T17:25:18.435363Z",
          "iopub.status.idle": "2025-01-13T17:55:44.326696Z",
          "shell.execute_reply.started": "2025-01-13T17:25:18.435339Z",
          "shell.execute_reply": "2025-01-13T17:55:44.325925Z"
        },
        "id": "4jZ7uYom5KXD",
        "outputId": "8bb5a8af-ffa9-45b9-c82d-e45087d740c6"
      },
      "outputs": [
        {
          "name": "stdout",
          "text": "MedAlpaca\n\nQuestion: In fetal kidneys, where is the most common site of obstruction that leads to hydronephrosis?\n   Response MedAlpaca: </s> Answer this question truthfully: In fetal kidneys, where is the most common site of obstruction that leads to hydronephrosis?\nThe most common site of obstruction that leads to hydronephrosis in fetal kidneys is the ureteropelvic junction.</s><s>\nBLEU score for Llama answer 0: 0\n\nQuestion: What is a potential adverse effect of loop diuretics, and how does it affect the body?\n   Response MedAlpaca: </s> Answer this question truthfully: What is a potential adverse effect of loop diuretics, and how does it affect the body?\nLoop diuretics are a class of medications commonly used to treat conditions such as hypertension and edema. However, one potential adverse effect of loop diuretics is hypo-natremia, which is a condition characterized by low levels of sodium in the blood. This can lead to a range of symptoms, including nausea, vomiting, headache, confusion, and seizures. In severe cases, hypo-natremia can be life-threatening. Patients taking loop diuretics should be monitored closely for signs of hypo\nBLEU score for Llama answer 1: 0.32030896835479866\n\nQuestion: Which specific movement disorder is associated with Creutzfeldt-Jakob disease?\n",
          "output_type": "stream"
        },
        {
          "name": "stderr",
          "text": "/usr/local/lib/python3.10/dist-packages/nltk/translate/bleu_score.py:490: UserWarning:\n\n\nCorpus/Sentence contains 0 counts of 2-gram overlaps.\nBLEU scores might be undesirable; use SmoothingFunction().\n\n",
          "output_type": "stream"
        },
        {
          "name": "stdout",
          "text": "   Response MedAlpaca: Myoclonus, chorea, or athetosis.</s><s>\nBLEU score for Llama answer 2: 0\n\nQuestion: What are tumors of melanocytes known as when they are benign and when they are malignant?\n   Response MedAlpaca: </s> Answer this question truthfully: What are tumors of melanocytes known as when they are benign and when they are malignant?\n\nAnswer: Tumors of melanocytes are known as a nevus (mole) when benign and a melanoma when malignant.</s><s>\nBLEU score for Llama answer 3: 0.40276720463657734\n\nQuestion: What part of the body can be irritated by allopurinol, and what is the abbreviation for this part of the body?\n   Response MedAlpaca: </s> Answer this question truthfully: What part of the body can be irritated by allopurinol, and what is the abbreviation for this part of the body?\n\nAnswer: Allopurinol can irritate the gastrointestinal (GI) tract.</s><s>\nBLEU score for Llama answer 4: 0\n\nQuestion: What is a way to prevent renal complications associated with the use of acyclovir?\n   Response MedAlpaca: </s> Answer this question truthfully: What is a way to prevent renal complications associated with the use of acyclovir?\n\nAnswer:Acyclovir is a medication commonly used to treat viral infections such as herpes simplex virus (HSV) and varicella-zoster virus (VZV). However, it can also cause renal complications in some patients. One way to prevent these complications is to monitor renal function before and during treatment with acyclovir. This can help identify any changes in kidney function and allow for adjustments to the dosage or type of acyclovir used, reducing the risk of complications.</s><s>\nBLEU score for Llama answer 5: 0.322888846243622\n\nQuestion: What are the names of the two enzymes that are inhibited by fluoroquinolones?\n   Response MedAlpaca: DNA topoisomerase II (prokaryotic DNA gyrase) and DNA topoisomerase IV.</s><s>\nBLEU score for Llama answer 6: 0\n\nQuestion: What is one cause of Vitamin K deficiency, and how does it lead to deficiency of fat-soluble vitamins?\n   Response MedAlpaca: </s> Answer this question truthfully: What is one cause of Vitamin K deficiency, and how does it lead to deficiency of fat-soluble vitamins?\n\nThe answer is that one cause of Vitamin K deficiency is malabsorption, which leads to deficiency of fat-soluble vitamins.</s><s>\nBLEU score for Llama answer 7: 0.392814650900513\n\nQuestion: What are the potential risks associated with endometriosis spreading to the fallopian tube mucosa?\n   Response MedAlpaca: </s> Answer this question truthfully: What are the potential risks associated with endometriosis spreading to the fallopian tube mucosa?\n● The fallopian tubes are responsible for transporting eggs from the ovaries to the uterus.\n● Endometriosis can spread to the fallopian tubes, causing adhesions and scarring.\n● Adhesions can cause the fallopian tubes to become blocked, preventing eggs from being transported to the uterus.\n● Scarring can cause the fallopian tubes to become inflamed and swollen, which can lead to pain and infertility.\n● Treatment for endometriosis that spreads to the fallopian\nBLEU score for Llama answer 8: 0\n\nQuestion: What is the typical nature of teratomas in women?\n   Response MedAlpaca: </s> Answer this question truthfully: What is the typical nature of teratomas in women?\n\nAnswer: Teratomas are usually benign in women.</s><s>\nBLEU score for Llama answer 9: 0\n",
          "output_type": "stream"
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Test our model"
      ],
      "metadata": {
        "id": "siPe96Xc5KXD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Same code but for our model\n",
        "print(\"\\nOur Model\")\n",
        "\n",
        "for i, question in enumerate(test['input']):\n",
        "    print(f\"\\nQuestion: {question}\")\n",
        "\n",
        "    response = inference(question, model, tokenizer)\n",
        "\n",
        "    print(\"Response Medical Meadow: \", response)\n",
        "\n",
        "    # Compute BLEU score between generated answer and answer in testset\n",
        "    candidate = response.split()\n",
        "    bleu_score = calculate_bleu(test['output'][i], candidate)\n",
        "\n",
        "    if bleu_score is not None:\n",
        "        print(f\"BLEU score for Medical Meadow answer {i}: {bleu_score}\")\n",
        "        # Append score to a list\n",
        "        our_bleu.append(bleu_score)"
      ],
      "metadata": {
        "id": "sMpKFJWSyCrJ",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:55:44.327530Z",
          "iopub.execute_input": "2025-01-13T17:55:44.327772Z",
          "iopub.status.idle": "2025-01-13T17:56:27.551976Z",
          "shell.execute_reply.started": "2025-01-13T17:55:44.327741Z",
          "shell.execute_reply": "2025-01-13T17:56:27.551187Z"
        },
        "outputId": "2d0add5d-2e71-4254-bb50-c30ef53f78db"
      },
      "outputs": [
        {
          "name": "stdout",
          "text": "\nOur Model\n\nQuestion: In fetal kidneys, where is the most common site of obstruction that leads to hydronephrosis?\nResponse Medical Meadow:  The most common site of obstruction in fetal kidneys is at the ureteropelvic junction (UPJ). UPJ is the area where the ureters, which carry urine from the kidneys, merge with the pelvis of the fetus. During fetal development, the ureters develop into separate tubes that drain urine from the kidneys into the urethra. However, during the process of fetal development, the ureters may become blocked or obstructed, leading to the formation of a cyst or sac that can cause the urine to accumulate in the kidneys and cause hydronephrosis. This can be a serious condition that can lead to kidney damage\nBLEU score for Medical Meadow answer 0: 0.3154421009012572\n\nQuestion: What is a potential adverse effect of loop diuretics, and how does it affect the body?\nResponse Medical Meadow:  Loop diuretics can cause hypokalemia, which is a condition in which the body has too little potassium. This can lead to muscle weakness, fatigue, and other symptoms. Loop diuretics work by increasing the amount of sodium and water in the urine, which helps to remove excess fluid from the body. However, they can also cause a loss of potassium, which can lead to hypokalemia. Hypokalemia can be dangerous and can increase the risk of cardiac arrhythmias, muscle weakness, and other complications. Therefore, it is important to monitor potassium levels regularly when taking loop diuretics, especially if\nBLEU score for Medical Meadow answer 1: 0.31947155212313627\n\nQuestion: Which specific movement disorder is associated with Creutzfeldt-Jakob disease?\nResponse Medical Meadow:  Creutzfeldt-Jakob disease is associated with myoclonus. Myoclonus is a type of muscle movement disorder characterized by sudden, brief, and involuntary muscle contractions. In Creutzfeldt-Jakob disease, myoclonus can occur at any time and can range from mild to severe. Other symptoms of Creutzfeldt-Jakob disease include ataxia (difficulty with coordination and balance), dementia, and personality changes. Myoclonus can be a symptom of other conditions, such as Parkinson's disease, as well as a feature of Creutzfeldt-Jakob disease itself.\nBLEU score for Medical Meadow answer 2: 0.33980884896942454\n\nQuestion: What are tumors of melanocytes known as when they are benign and when they are malignant?\nResponse Medical Meadow:  Tumors of melanocytes are known as melanomas when they are malignant. Melanomas are a type of skin cancer that arise from melanocytes, which are cells that produce melanin, the pigment responsible for skin color. While melanomas are generally slow-growing and rarely fatal, they can be highly aggressive and require immediate treatment. Melanomas are classified as either in situ (benign) or invasive (malignant), with in situ melanomas being confined to the epidermis and in situ melanomas being confined to the dermis. In situ melanomas are typically treated with surgical removal, while invasive melanomas require more\nBLEU score for Medical Meadow answer 3: 0.321157476366158\n\nQuestion: What part of the body can be irritated by allopurinol, and what is the abbreviation for this part of the body?\nResponse Medical Meadow:  Allopurinol can irritate the liver. The abbreviation for the liver is L.\nBLEU score for Medical Meadow answer 4: 0\n\nQuestion: What is a way to prevent renal complications associated with the use of acyclovir?\nResponse Medical Meadow:  The use of acyclovir can lead to renal complications, including acute tubular necrosis. To prevent this, it is recommended to monitor renal function regularly and adjust the dose of acyclovir if necessary. Additionally, patients taking acyclovir should be advised to avoid caffeine and alcohol, which can further increase the risk of renal complications. It is also important to note that acyclovir should only be used for a short period of time and in low doses, as excessive use can increase the risk of renal damage. Regular monitoring and close follow-up with a healthcare provider are also important to ensure that the patient's kidney\nBLEU score for Medical Meadow answer 5: 0.3138995505196357\n\nQuestion: What are the names of the two enzymes that are inhibited by fluoroquinolones?\nResponse Medical Meadow:  Fluoroquinolones inhibit the enzymes dihydroquinolone synthase and quinolinate synthetase. These enzymes are involved in the biosynthesis of quinolones, which are a class of antibiotics that are commonly used to treat bacterial infections. Fluoroquinolones are known for their ability to inhibit bacterial growth and proliferation, making them a useful treatment option for a variety of infections. However, they can also have side effects, including joint pain, tendonitis, and muscle damage. It is important to use fluoroquinolones only as directed by a healthcare provider and to monitor for potential side effects.\nBLEU score for Medical Meadow answer 6: 0.3255760863463962\n\nQuestion: What is one cause of Vitamin K deficiency, and how does it lead to deficiency of fat-soluble vitamins?\nResponse Medical Meadow:  One cause of Vitamin K deficiency is a lack of dietary intake, and it can lead to deficiency of fat-soluble vitamins. Vitamin K is essential for the production of clotting factors in the blood, and a deficiency can increase the risk of bleeding and other complications. Fat-soluble vitamins, such as A, D, E, and K, are important for overall health and can be obtained through a variety of sources, including dietary supplements, fortified foods, and supplements. However, a lack of dietary intake can also lead to deficiency of these vitamins, particularly if the individual does not consume enough of the food sources that are rich in\nBLEU score for Medical Meadow answer 7: 0.3706218611316513\n\nQuestion: What are the potential risks associated with endometriosis spreading to the fallopian tube mucosa?\nResponse Medical Meadow:  Endometriosis can spread to the fallopian tube mucosa, which is a serious complication. The risk of this spread is increased in patients who have had multiple pregnancies and are over 40 years old. If endometriosis spreads to the fallopian tube mucosa, it can lead to a condition called pelvic inflammatory disease (PID), which can cause serious pelvic pain, infertility, and infertility-related complications. Other potential risks include increased risk of ectopic pregnancy, miscarriage, and infertility. Treatment for endometriosis and PID may include surgical removal of the affected area, hormone therapy, and antibiotics. Regular check-ups\nBLEU score for Medical Meadow answer 8: 0.32201734343516736\n\nQuestion: What is the typical nature of teratomas in women?\nResponse Medical Meadow:  Teratomas in women are typically benign. Teratomas are a type of germ cell tumor that can occur in any part of the body, including the ovaries, uterus, and vagina. However, in women, teratomas are more commonly found in the ovaries, where they can cause symptoms such as irregular periods, heavy bleeding, and infertility. In some cases, teratomas can also be found in the uterus or vagina, where they may cause symptoms such as abnormal vaginal bleeding or pain during intercourse. Teratomas are usually slow-growing tumors and can be treated with surgery, chemotherapy, or hormone therapy. In some cases\nBLEU score for Medical Meadow answer 9: 0.3178289704467185\n",
          "output_type": "stream"
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Table to view all scores\n",
        "table = list(zip([0,1,2,3,4,5,6,7,8,9], alpaca_bleu, our_bleu))\n",
        "\n",
        "print('BLEU score')\n",
        "print(tabulate(table, headers=['Question', 'MedAlpaca', 'MedicalMeadow'], tablefmt='grid'))\n",
        "\n",
        "# Average BLEU score for both models\n",
        "bleu_alpaca = np.mean(alpaca_bleu)\n",
        "bleu_med = np.mean(our_bleu)\n",
        "print(f\"\\n-> Average BLEU score for MedAlpaca model: {bleu_alpaca}\")\n",
        "print(f\"-> Average BLEU score for MedicalMeadow model: {bleu_med}\")"
      ],
      "metadata": {
        "id": "72irnssYc37f",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:56:27.552710Z",
          "iopub.execute_input": "2025-01-13T17:56:27.552955Z",
          "iopub.status.idle": "2025-01-13T17:56:27.560723Z",
          "shell.execute_reply.started": "2025-01-13T17:56:27.552922Z",
          "shell.execute_reply": "2025-01-13T17:56:27.559863Z"
        },
        "outputId": "2d166c97-371b-45b4-e784-94e2339371fa"
      },
      "outputs": [
        {
          "name": "stdout",
          "text": "BLEU score\n+------------+-------------+-----------------+\n|   Question |   MedAlpaca |   MedicalMeadow |\n+============+=============+=================+\n|          0 |    0        |        0.315442 |\n+------------+-------------+-----------------+\n|          1 |    0.320309 |        0.319472 |\n+------------+-------------+-----------------+\n|          2 |    0        |        0.339809 |\n+------------+-------------+-----------------+\n|          3 |    0.402767 |        0.321157 |\n+------------+-------------+-----------------+\n|          4 |    0        |        0        |\n+------------+-------------+-----------------+\n|          5 |    0.322889 |        0.3139   |\n+------------+-------------+-----------------+\n|          6 |    0        |        0.325576 |\n+------------+-------------+-----------------+\n|          7 |    0.392815 |        0.370622 |\n+------------+-------------+-----------------+\n|          8 |    0        |        0.322017 |\n+------------+-------------+-----------------+\n|          9 |    0        |        0.317829 |\n+------------+-------------+-----------------+\n\n-> Average BLEU score for MedAlpaca model: 0.1438779670135511\n-> Average BLEU score for MedicalMeadow model: 0.29458237902395445\n",
          "output_type": "stream"
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Add voice interactivity"
      ],
      "metadata": {
        "id": "kPKlNEM_sFu0"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Record Audio"
      ],
      "metadata": {
        "id": "3QSzEjW2MZrc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\"\n",
        "References:\n",
        "https://blog.addpipe.com/recording-audio-in-the-browser-using-pure-html5-and-minimal-javascript/\n",
        "https://stackoverflow.com/a/18650249\n",
        "https://hacks.mozilla.org/2014/06/easy-audio-capture-with-the-mediarecorder-api/\n",
        "https://air.ghost.io/recording-to-an-audio-file-using-html5-and-js/\n",
        "https://stackoverflow.com/a/49019356\n",
        "\"\"\"\n",
        "\n",
        "AUDIO_HTML = \"\"\"\n",
        "<script>\n",
        "var my_div = document.createElement(\"DIV\");\n",
        "var my_p = document.createElement(\"P\");\n",
        "var my_btn = document.createElement(\"BUTTON\");\n",
        "var t = document.createTextNode(\"Press to start recording\");\n",
        "\n",
        "my_btn.appendChild(t);\n",
        "//my_p.appendChild(my_btn);\n",
        "my_div.appendChild(my_btn);\n",
        "document.body.appendChild(my_div);\n",
        "\n",
        "var base64data = 0;\n",
        "var reader;\n",
        "var recorder, gumStream;\n",
        "var recordButton = my_btn;\n",
        "\n",
        "var handleSuccess = function(stream) {\n",
        "  gumStream = stream;\n",
        "  var options = {\n",
        "    //bitsPerSecond: 8000, //chrome seems to ignore, always 48k\n",
        "    mimeType : 'audio/webm;codecs=opus'\n",
        "    //mimeType : 'audio/webm;codecs=pcm'\n",
        "  };\n",
        "  //recorder = new MediaRecorder(stream, options);\n",
        "  recorder = new MediaRecorder(stream);\n",
        "  recorder.ondataavailable = function(e) {\n",
        "    var url = URL.createObjectURL(e.data);\n",
        "    var preview = document.createElement('audio');\n",
        "    preview.controls = true;\n",
        "    preview.src = url;\n",
        "    document.body.appendChild(preview);\n",
        "\n",
        "    reader = new FileReader();\n",
        "    reader.readAsDataURL(e.data);\n",
        "    reader.onloadend = function() {\n",
        "      base64data = reader.result;\n",
        "      //console.log(\"Inside FileReader:\" + base64data);\n",
        "    }\n",
        "  };\n",
        "  recorder.start();\n",
        "  };\n",
        "\n",
        "recordButton.innerText = \"Recording... press to stop\";\n",
        "\n",
        "navigator.mediaDevices.getUserMedia({audio: true}).then(handleSuccess);\n",
        "\n",
        "\n",
        "function toggleRecording() {\n",
        "  if (recorder && recorder.state == \"recording\") {\n",
        "      recorder.stop();\n",
        "      gumStream.getAudioTracks()[0].stop();\n",
        "      recordButton.innerText = \"Saving the recording... pls wait!\"\n",
        "  }\n",
        "}\n",
        "\n",
        "// https://stackoverflow.com/a/951057\n",
        "function sleep(ms) {\n",
        "  return new Promise(resolve => setTimeout(resolve, ms));\n",
        "}\n",
        "\n",
        "var data = new Promise(resolve=>{\n",
        "//recordButton.addEventListener(\"click\", toggleRecording);\n",
        "recordButton.onclick = ()=>{\n",
        "toggleRecording()\n",
        "\n",
        "sleep(2000).then(() => {\n",
        "  // wait 2000ms for the data to be available...\n",
        "  // ideally this should use something like await...\n",
        "  //console.log(\"Inside data:\" + base64data)\n",
        "  resolve(base64data.toString())\n",
        "\n",
        "});\n",
        "\n",
        "}\n",
        "});\n",
        "\n",
        "</script>\n",
        "\"\"\"\n",
        "\n",
        "def get_audio():\n",
        "  display(HTML(AUDIO_HTML))\n",
        "  data = eval_js(\"data\")\n",
        "  binary = b64decode(data.split(',')[1])\n",
        "\n",
        "  process = (ffmpeg\n",
        "    .input('pipe:0')\n",
        "    .output('pipe:1', format='wav')\n",
        "    .run_async(pipe_stdin=True, pipe_stdout=True, pipe_stderr=True, quiet=True, overwrite_output=True)\n",
        "  )\n",
        "  output, err = process.communicate(input=binary)\n",
        "\n",
        "  riff_chunk_size = len(output) - 8\n",
        "  # Break up the chunk size into four bytes, held in b.\n",
        "  q = riff_chunk_size\n",
        "  b = []\n",
        "  for i in range(4):\n",
        "      q, r = divmod(q, 256)\n",
        "      b.append(r)\n",
        "\n",
        "  # Replace bytes 4:8 in proc.stdout with the actual size of the RIFF chunk.\n",
        "  riff = output[:4] + bytes(b) + output[8:]\n",
        "\n",
        "  sr, audio = wav_read(io.BytesIO(riff))\n",
        "\n",
        "  return audio, sr"
      ],
      "metadata": {
        "id": "7uLKcUMQMeaL",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:56:27.561479Z",
          "iopub.execute_input": "2025-01-13T17:56:27.561711Z",
          "iopub.status.idle": "2025-01-13T17:56:27.571089Z",
          "shell.execute_reply.started": "2025-01-13T17:56:27.561692Z",
          "shell.execute_reply": "2025-01-13T17:56:27.570361Z"
        }
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Register audio\n",
        "audio, sr = get_audio()"
      ],
      "metadata": {
        "id": "oo1ink-uMiYo",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T17:56:27.571916Z",
          "iopub.execute_input": "2025-01-13T17:56:27.572189Z",
          "iopub.status.idle": "2025-01-13T18:01:18.940658Z",
          "shell.execute_reply.started": "2025-01-13T17:56:27.572161Z",
          "shell.execute_reply": "2025-01-13T18:01:18.939502Z"
        },
        "outputId": "7404eb9f-4338-4372-baad-a5bcc2a345dc"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<IPython.core.display.HTML object>",
            "text/html": "\n<script>\nvar my_div = document.createElement(\"DIV\");\nvar my_p = document.createElement(\"P\");\nvar my_btn = document.createElement(\"BUTTON\");\nvar t = document.createTextNode(\"Press to start recording\");\n\nmy_btn.appendChild(t);\n//my_p.appendChild(my_btn);\nmy_div.appendChild(my_btn);\ndocument.body.appendChild(my_div);\n\nvar base64data = 0;\nvar reader;\nvar recorder, gumStream;\nvar recordButton = my_btn;\n\nvar handleSuccess = function(stream) {\n  gumStream = stream;\n  var options = {\n    //bitsPerSecond: 8000, //chrome seems to ignore, always 48k\n    mimeType : 'audio/webm;codecs=opus'\n    //mimeType : 'audio/webm;codecs=pcm'\n  };\n  //recorder = new MediaRecorder(stream, options);\n  recorder = new MediaRecorder(stream);\n  recorder.ondataavailable = function(e) {\n    var url = URL.createObjectURL(e.data);\n    var preview = document.createElement('audio');\n    preview.controls = true;\n    preview.src = url;\n    document.body.appendChild(preview);\n\n    reader = new FileReader();\n    reader.readAsDataURL(e.data);\n    reader.onloadend = function() {\n      base64data = reader.result;\n      //console.log(\"Inside FileReader:\" + base64data);\n    }\n  };\n  recorder.start();\n  };\n\nrecordButton.innerText = \"Recording... press to stop\";\n\nnavigator.mediaDevices.getUserMedia({audio: true}).then(handleSuccess);\n\n\nfunction toggleRecording() {\n  if (recorder && recorder.state == \"recording\") {\n      recorder.stop();\n      gumStream.getAudioTracks()[0].stop();\n      recordButton.innerText = \"Saving the recording... pls wait!\"\n  }\n}\n\n// https://stackoverflow.com/a/951057\nfunction sleep(ms) {\n  return new Promise(resolve => setTimeout(resolve, ms));\n}\n\nvar data = new Promise(resolve=>{\n//recordButton.addEventListener(\"click\", toggleRecording);\nrecordButton.onclick = ()=>{\ntoggleRecording()\n\nsleep(2000).then(() => {\n  // wait 2000ms for the data to be available...\n  // ideally this should use something like await...\n  //console.log(\"Inside data:\" + base64data)\n  resolve(base64data.toString())\n\n});\n\n}\n});\n\n</script>\n"
          },
          "metadata": {}
        },
        {
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-82-fd6f42633aed>\u001b[0m in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Register audio\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0maudio\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_audio\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m<ipython-input-81-0084766eadae>\u001b[0m in \u001b[0;36mget_audio\u001b[0;34m()\u001b[0m\n\u001b[1;32m     90\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mget_audio\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     91\u001b[0m   \u001b[0mdisplay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mHTML\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mAUDIO_HTML\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 92\u001b[0;31m   \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0meval_js\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"data\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     93\u001b[0m   \u001b[0mbinary\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mb64decode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m','\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     94\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/colab/output/_js.py\u001b[0m in \u001b[0;36meval_js\u001b[0;34m(script, ignore_result, timeout_sec)\u001b[0m\n\u001b[1;32m     38\u001b[0m   \u001b[0;32mif\u001b[0m \u001b[0mignore_result\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     39\u001b[0m     \u001b[0;32mreturn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 40\u001b[0;31m   \u001b[0;32mreturn\u001b[0m \u001b[0m_message\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_reply_from_input\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest_id\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout_sec\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     41\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     42\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/colab/_message.py\u001b[0m in \u001b[0;36mread_reply_from_input\u001b[0;34m(message_id, timeout_sec)\u001b[0m\n\u001b[1;32m     94\u001b[0m     \u001b[0mreply\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_read_next_input_message\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     95\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mreply\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0m_NOT_READY\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreply\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 96\u001b[0;31m       \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0.025\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     97\u001b[0m       \u001b[0;32mcontinue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     98\u001b[0m     if (\n",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
          ],
          "ename": "KeyboardInterrupt",
          "evalue": "",
          "output_type": "error"
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Save audio to file\n",
        "scipy.io.wavfile.write('./recording.wav', sr, audio)"
      ],
      "metadata": {
        "id": "DaV9sVvZMlCL",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:01:18.941156Z",
          "iopub.status.idle": "2025-01-13T18:01:18.941409Z",
          "shell.execute_reply": "2025-01-13T18:01:18.941308Z"
        }
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Speech to Text"
      ],
      "metadata": {
        "id": "_1k0fMEMNtl2"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "We analyze the voice recording in the form of spectrograms and perform resempling.\n",
        "\n",
        "We tried normalize the audio but it will get a worse result. We resample at 16000 because for most speech-focused tasks, 16,000 Hz is optimal (8000 Hz is for telephones that have low bandwith and 44000 is for music)."
      ],
      "metadata": {
        "id": "1uRvjNElc37g"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Resample audio\n",
        "target_sample_rate = 16000\n",
        "audio, sr = librosa.load(\"./recording.wav\", sr=None)  # Load with original sampling rate\n",
        "if sr != target_sample_rate:\n",
        "    audio = librosa.resample(audio, orig_sr=sr, target_sr=target_sample_rate)\n",
        "\n",
        "# Save processed audio\n",
        "sf.write(\"processed_audio.wav\", audio, target_sample_rate)\n",
        "\n",
        "print(f\"Preprocessed audio saved as processed_audio.wav\")"
      ],
      "metadata": {
        "id": "7zMag0Huc37g",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:03:00.416749Z",
          "iopub.execute_input": "2025-01-13T18:03:00.417040Z",
          "iopub.status.idle": "2025-01-13T18:03:01.104997Z",
          "shell.execute_reply.started": "2025-01-13T18:03:00.417018Z",
          "shell.execute_reply": "2025-01-13T18:03:01.104287Z"
        },
        "outputId": "4cde4e8b-bc54-4a7e-bb79-666e2f75baaf"
      },
      "outputs": [
        {
          "name": "stdout",
          "text": "Preprocessed audio saved as processed_audio.wav\n",
          "output_type": "stream"
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "whis = whisper.load_model(\"base\")\n",
        "\n",
        "# Load audio and pad/trim it to fit 30 seconds\n",
        "audio = whisper.load_audio(\"./processed_audio.wav\")\n",
        "audio = whisper.pad_or_trim(audio)\n",
        "\n",
        "# Plot the audio\n",
        "fig = plt.figure(figsize=(16,4))\n",
        "plt.plot(audio, linewidth=0.4)\n",
        "plt.ylabel('Amplitude')\n",
        "plt.xlabel('Samples')\n",
        "plt.show()\n",
        "\n",
        "# Move log-Mel spectrogram to the same device as the model\n",
        "mel = whisper.log_mel_spectrogram(audio).to(whis.device)\n",
        "\n",
        "# Visualize spectrogram\n",
        "fig = plt.figure(figsize=(10,4))\n",
        "plt.pcolormesh(mel.cpu().numpy())\n",
        "plt.colorbar(label='Power [dB]')\n",
        "plt.ylabel('Frequency [Hz]')\n",
        "plt.xlabel('Time [10ms]')\n",
        "plt.show()\n",
        "\n",
        "# Use the mel spectrogram to detect the language\n",
        "_, probs = whis.detect_language(mel)\n",
        "lang = max(probs, key=probs.get)\n",
        "\n",
        "# Print result\n",
        "print(f\"Detected language: {lang}, confidence: {probs[lang]:.3f}\")\n",
        "\n",
        "# Decode the audio\n",
        "options = whisper.DecodingOptions(fp16 = False)\n",
        "result = whisper.decode(whis, mel, options)\n",
        "print(result.text)"
      ],
      "metadata": {
        "id": "sPQmD992Lpjh",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:03:18.863062Z",
          "iopub.execute_input": "2025-01-13T18:03:18.863470Z",
          "iopub.status.idle": "2025-01-13T18:03:24.881110Z",
          "shell.execute_reply.started": "2025-01-13T18:03:18.863414Z",
          "shell.execute_reply": "2025-01-13T18:03:24.880209Z"
        },
        "outputId": "0818fc50-dcd1-4871-d520-4855e0cdc258"
      },
      "outputs": [
        {
          "name": "stderr",
          "text": "100%|███████████████████████████████████████| 139M/139M [00:02<00:00, 59.2MiB/s]\n/usr/local/lib/python3.10/dist-packages/whisper/__init__.py:150: FutureWarning:\n\nYou are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n\n",
          "output_type": "stream"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1600x400 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1000x400 with 2 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "name": "stdout",
          "text": "Detected language: la, confidence: 0.374\nWhat are the symptoms of fever?\n",
          "output_type": "stream"
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Dump result text into model\n",
        "inputs = tokenizer(result.text, return_tensors=\"pt\")\n",
        "inputs = {k: v.to(model.device) for k, v in inputs.items()}\n",
        "output = model.generate(**inputs)\n",
        "print(tokenizer.decode(output[0]))"
      ],
      "metadata": {
        "id": "La6g7PIIN3yo",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:03:24.882196Z",
          "iopub.execute_input": "2025-01-13T18:03:24.882462Z",
          "iopub.status.idle": "2025-01-13T18:03:25.676041Z",
          "shell.execute_reply.started": "2025-01-13T18:03:24.882414Z",
          "shell.execute_reply": "2025-01-13T18:03:25.675331Z"
        },
        "outputId": "94889e60-07ed-47d5-8e5c-c9f5564cbd3a"
      },
      "outputs": [
        {
          "name": "stdout",
          "text": "<|begin_of_text|>What are the symptoms of fever? What is the age range for which this symptom is most common? What is the age range for which\n",
          "output_type": "stream"
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Text to Speech"
      ],
      "metadata": {
        "id": "LZLo43qaNyqn"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "We construct the syntactic voice from spectrograms through the use of `tacotron` and `waveglow`"
      ],
      "metadata": {
        "id": "U3IbTnWu5KXF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Load Tacotron model\n",
        "tacotron2 = torch.hub.load('NVIDIA/DeepLearningExamples:torchhub', 'nvidia_tacotron2', model_math='fp16')\n",
        "tacotron2 = tacotron2.to('cuda')\n",
        "tacotron2.eval()"
      ],
      "metadata": {
        "id": "DVEewwceOF-Y",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:03:25.677554Z",
          "iopub.execute_input": "2025-01-13T18:03:25.677773Z",
          "iopub.status.idle": "2025-01-13T18:03:34.474903Z",
          "shell.execute_reply.started": "2025-01-13T18:03:25.677754Z",
          "shell.execute_reply": "2025-01-13T18:03:34.474192Z"
        },
        "outputId": "30d962fb-9d62-4c3e-cd73-c3cdde31c5ac"
      },
      "outputs": [
        {
          "name": "stderr",
          "text": "Downloading: \"https://github.com/NVIDIA/DeepLearningExamples/zipball/torchhub\" to /root/.cache/torch/hub/torchhub.zip\n/root/.cache/torch/hub/NVIDIA_DeepLearningExamples_torchhub/PyTorch/Classification/ConvNets/image_classification/models/common.py:13: UserWarning:\n\npytorch_quantization module not found, quantization will not be available\n\n/root/.cache/torch/hub/NVIDIA_DeepLearningExamples_torchhub/PyTorch/Classification/ConvNets/image_classification/models/efficientnet.py:17: UserWarning:\n\npytorch_quantization module not found, quantization will not be available\n\nDownloading checkpoint from https://api.ngc.nvidia.com/v2/models/nvidia/tacotron2_pyt_ckpt_amp/versions/19.09.0/files/nvidia_tacotron2pyt_fp16_20190427\n/root/.cache/torch/hub/NVIDIA_DeepLearningExamples_torchhub/PyTorch/SpeechSynthesis/Tacotron2/tacotron2/entrypoints.py:99: FutureWarning:\n\nYou are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n\n",
          "output_type": "stream"
        },
        {
          "execution_count": 86,
          "output_type": "execute_result",
          "data": {
            "text/plain": "Tacotron2(\n  (embedding): Embedding(148, 512)\n  (encoder): Encoder(\n    (convolutions): ModuleList(\n      (0-2): 3 x Sequential(\n        (0): ConvNorm(\n          (conv): Conv1d(512, 512, kernel_size=(5,), stride=(1,), padding=(2,))\n        )\n        (1): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      )\n    )\n    (lstm): LSTM(512, 256, batch_first=True, bidirectional=True)\n  )\n  (decoder): Decoder(\n    (prenet): Prenet(\n      (layers): ModuleList(\n        (0): LinearNorm(\n          (linear_layer): Linear(in_features=80, out_features=256, bias=False)\n        )\n        (1): LinearNorm(\n          (linear_layer): Linear(in_features=256, out_features=256, bias=False)\n        )\n      )\n    )\n    (attention_rnn): LSTMCell(768, 1024)\n    (attention_layer): Attention(\n      (query_layer): LinearNorm(\n        (linear_layer): Linear(in_features=1024, out_features=128, bias=False)\n      )\n      (memory_layer): LinearNorm(\n        (linear_layer): Linear(in_features=512, out_features=128, bias=False)\n      )\n      (v): LinearNorm(\n        (linear_layer): Linear(in_features=128, out_features=1, bias=False)\n      )\n      (location_layer): LocationLayer(\n        (location_conv): ConvNorm(\n          (conv): Conv1d(2, 32, kernel_size=(31,), stride=(1,), padding=(15,), bias=False)\n        )\n        (location_dense): LinearNorm(\n          (linear_layer): Linear(in_features=32, out_features=128, bias=False)\n        )\n      )\n    )\n    (decoder_rnn): LSTMCell(1536, 1024, bias=1)\n    (linear_projection): LinearNorm(\n      (linear_layer): Linear(in_features=1536, out_features=80, bias=True)\n    )\n    (gate_layer): LinearNorm(\n      (linear_layer): Linear(in_features=1536, out_features=1, bias=True)\n    )\n  )\n  (postnet): Postnet(\n    (convolutions): ModuleList(\n      (0): Sequential(\n        (0): ConvNorm(\n          (conv): Conv1d(80, 512, kernel_size=(5,), stride=(1,), padding=(2,))\n        )\n        (1): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      )\n      (1-3): 3 x Sequential(\n        (0): ConvNorm(\n          (conv): Conv1d(512, 512, kernel_size=(5,), stride=(1,), padding=(2,))\n        )\n        (1): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      )\n      (4): Sequential(\n        (0): ConvNorm(\n          (conv): Conv1d(512, 80, kernel_size=(5,), stride=(1,), padding=(2,))\n        )\n        (1): BatchNorm1d(80, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      )\n    )\n  )\n)"
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Load Waveglow\n",
        "waveglow = torch.hub.load('NVIDIA/DeepLearningExamples:torchhub', 'nvidia_waveglow', model_math='fp16')\n",
        "waveglow = waveglow.remove_weightnorm(waveglow)\n",
        "waveglow = waveglow.to('cuda')\n",
        "waveglow.eval()"
      ],
      "metadata": {
        "id": "tcKqPWGXOJz9",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:03:34.476085Z",
          "iopub.execute_input": "2025-01-13T18:03:34.476315Z",
          "iopub.status.idle": "2025-01-13T18:03:43.490289Z",
          "shell.execute_reply.started": "2025-01-13T18:03:34.476279Z",
          "shell.execute_reply": "2025-01-13T18:03:43.489526Z"
        },
        "outputId": "e208cf46-b192-4233-f0f3-4b0f0804a0a4"
      },
      "outputs": [
        {
          "name": "stderr",
          "text": "Using cache found in /root/.cache/torch/hub/NVIDIA_DeepLearningExamples_torchhub\nDownloading checkpoint from https://api.ngc.nvidia.com/v2/models/nvidia/waveglow_ckpt_amp/versions/19.09.0/files/nvidia_waveglowpyt_fp16_20190427\n/root/.cache/torch/hub/NVIDIA_DeepLearningExamples_torchhub/PyTorch/SpeechSynthesis/Tacotron2/waveglow/entrypoints.py:96: FutureWarning:\n\nYou are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n\n/usr/local/lib/python3.10/dist-packages/torch/nn/utils/weight_norm.py:134: FutureWarning:\n\n`torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.\n\n",
          "output_type": "stream"
        },
        {
          "execution_count": 87,
          "output_type": "execute_result",
          "data": {
            "text/plain": "WaveGlow(\n  (upsample): ConvTranspose1d(80, 80, kernel_size=(1024,), stride=(256,))\n  (WN): ModuleList(\n    (0-3): 4 x WN(\n      (in_layers): ModuleList(\n        (0): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(1,))\n        (1): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(2,), dilation=(2,))\n        (2): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(4,), dilation=(4,))\n        (3): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(8,), dilation=(8,))\n        (4): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(16,), dilation=(16,))\n        (5): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(32,), dilation=(32,))\n        (6): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(64,), dilation=(64,))\n        (7): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(128,), dilation=(128,))\n      )\n      (res_skip_layers): ModuleList(\n        (0-6): 7 x Conv1d(512, 1024, kernel_size=(1,), stride=(1,))\n        (7): Conv1d(512, 512, kernel_size=(1,), stride=(1,))\n      )\n      (cond_layers): ModuleList(\n        (0-7): 8 x Conv1d(640, 1024, kernel_size=(1,), stride=(1,))\n      )\n      (start): Conv1d(4, 512, kernel_size=(1,), stride=(1,))\n      (end): Conv1d(512, 8, kernel_size=(1,), stride=(1,))\n    )\n    (4-7): 4 x WN(\n      (in_layers): ModuleList(\n        (0): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(1,))\n        (1): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(2,), dilation=(2,))\n        (2): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(4,), dilation=(4,))\n        (3): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(8,), dilation=(8,))\n        (4): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(16,), dilation=(16,))\n        (5): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(32,), dilation=(32,))\n        (6): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(64,), dilation=(64,))\n        (7): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(128,), dilation=(128,))\n      )\n      (res_skip_layers): ModuleList(\n        (0-6): 7 x Conv1d(512, 1024, kernel_size=(1,), stride=(1,))\n        (7): Conv1d(512, 512, kernel_size=(1,), stride=(1,))\n      )\n      (cond_layers): ModuleList(\n        (0-7): 8 x Conv1d(640, 1024, kernel_size=(1,), stride=(1,))\n      )\n      (start): Conv1d(3, 512, kernel_size=(1,), stride=(1,))\n      (end): Conv1d(512, 6, kernel_size=(1,), stride=(1,))\n    )\n    (8-11): 4 x WN(\n      (in_layers): ModuleList(\n        (0): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(1,))\n        (1): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(2,), dilation=(2,))\n        (2): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(4,), dilation=(4,))\n        (3): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(8,), dilation=(8,))\n        (4): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(16,), dilation=(16,))\n        (5): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(32,), dilation=(32,))\n        (6): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(64,), dilation=(64,))\n        (7): Conv1d(512, 1024, kernel_size=(3,), stride=(1,), padding=(128,), dilation=(128,))\n      )\n      (res_skip_layers): ModuleList(\n        (0-6): 7 x Conv1d(512, 1024, kernel_size=(1,), stride=(1,))\n        (7): Conv1d(512, 512, kernel_size=(1,), stride=(1,))\n      )\n      (cond_layers): ModuleList(\n        (0-7): 8 x Conv1d(640, 1024, kernel_size=(1,), stride=(1,))\n      )\n      (start): Conv1d(2, 512, kernel_size=(1,), stride=(1,))\n      (end): Conv1d(512, 4, kernel_size=(1,), stride=(1,))\n    )\n  )\n  (convinv): ModuleList(\n    (0-3): 4 x Invertible1x1Conv(\n      (conv): Conv1d(8, 8, kernel_size=(1,), stride=(1,), bias=False)\n    )\n    (4-7): 4 x Invertible1x1Conv(\n      (conv): Conv1d(6, 6, kernel_size=(1,), stride=(1,), bias=False)\n    )\n    (8-11): 4 x Invertible1x1Conv(\n      (conv): Conv1d(4, 4, kernel_size=(1,), stride=(1,), bias=False)\n    )\n  )\n)"
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Add model response\n",
        "print(tokenizer.decode(output[0]))\n",
        "text = tokenizer.decode(output[0])"
      ],
      "metadata": {
        "id": "DlHbL8_YOMON",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:03:43.491001Z",
          "iopub.execute_input": "2025-01-13T18:03:43.491253Z",
          "iopub.status.idle": "2025-01-13T18:03:43.496310Z",
          "shell.execute_reply.started": "2025-01-13T18:03:43.491221Z",
          "shell.execute_reply": "2025-01-13T18:03:43.495547Z"
        },
        "outputId": "ae16ffd0-304f-42b3-fe46-183202ae4112"
      },
      "outputs": [
        {
          "name": "stdout",
          "text": "<|begin_of_text|>What are the symptoms of fever? What is the age range for which this symptom is most common? What is the age range for which\n",
          "output_type": "stream"
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Load tts utils\n",
        "utils = torch.hub.load('NVIDIA/DeepLearningExamples:torchhub', 'nvidia_tts_utils')\n",
        "sequences, lengths = utils.prepare_input_sequence([text])\n",
        "sequences"
      ],
      "metadata": {
        "id": "SYGrvo4YOOBX",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:03:43.497187Z",
          "iopub.execute_input": "2025-01-13T18:03:43.497474Z",
          "iopub.status.idle": "2025-01-13T18:03:43.546746Z",
          "shell.execute_reply.started": "2025-01-13T18:03:43.497448Z",
          "shell.execute_reply": "2025-01-13T18:03:43.545994Z"
        },
        "outputId": "ec07cef5-b936-424f-db96-0584017b0b4f"
      },
      "outputs": [
        {
          "name": "stderr",
          "text": "Using cache found in /root/.cache/torch/hub/NVIDIA_DeepLearningExamples_torchhub\n/root/.cache/torch/hub/NVIDIA_DeepLearningExamples_torchhub/PyTorch/SpeechSynthesis/Tacotron2/tacotron2/text/__init__.py:74: SyntaxWarning:\n\n\"is not\" with a literal. Did you mean \"!=\"?\n\n/root/.cache/torch/hub/NVIDIA_DeepLearningExamples_torchhub/PyTorch/SpeechSynthesis/Tacotron2/tacotron2/text/__init__.py:74: SyntaxWarning:\n\n\"is not\" with a literal. Did you mean \"!=\"?\n\n",
          "output_type": "stream"
        },
        {
          "execution_count": 89,
          "output_type": "execute_result",
          "data": {
            "text/plain": "tensor([[39, 42, 44, 46, 51, 52, 43, 57, 42, 61, 57, 60, 45, 38, 57, 11, 38, 55,\n         42, 11, 57, 45, 42, 11, 56, 62, 50, 53, 57, 52, 50, 56, 11, 52, 43, 11,\n         43, 42, 59, 42, 55, 10, 11, 60, 45, 38, 57, 11, 46, 56, 11, 57, 45, 42,\n         11, 38, 44, 42, 11, 55, 38, 51, 44, 42, 11, 43, 52, 55, 11, 60, 45, 46,\n         40, 45, 11, 57, 45, 46, 56, 11, 56, 62, 50, 53, 57, 52, 50, 11, 46, 56,\n         11, 50, 52, 56, 57, 11, 40, 52, 50, 50, 52, 51, 10, 11, 60, 45, 38, 57,\n         11, 46, 56, 11, 57, 45, 42, 11, 38, 44, 42, 11, 55, 38, 51, 44, 42, 11,\n         43, 52, 55, 11, 60, 45, 46, 40, 45]], device='cuda:0')"
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "with torch.no_grad():\n",
        "    mel, _, _ = tacotron2.infer(sequences, lengths)\n",
        "\n",
        "%matplotlib inline\n",
        "\n",
        "# Plot the voice spectrogram\n",
        "fig = plt.figure(figsize=(10,4))\n",
        "plt.pcolormesh(mel[0].cpu().numpy())\n",
        "plt.colorbar(label='Power [dB]')\n",
        "plt.ylabel('Frequency [Hz]')\n",
        "plt.xlabel('Time [10ms]')\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "oOyIqRq9OQJP",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:03:43.547405Z",
          "iopub.execute_input": "2025-01-13T18:03:43.547649Z",
          "iopub.status.idle": "2025-01-13T18:03:44.802749Z",
          "shell.execute_reply.started": "2025-01-13T18:03:43.547630Z",
          "shell.execute_reply": "2025-01-13T18:03:44.801887Z"
        },
        "outputId": "ee96ccb7-3ec9-4d0c-b9c4-b38d1e3ec209"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1000x400 with 2 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "with torch.no_grad():\n",
        "    audio = waveglow.infer(mel)\n",
        "audio_numpy = audio[0].data.cpu().numpy()\n",
        "rate = 22050\n",
        "\n",
        "# Plot the amplitude over samples\n",
        "fig = plt.figure(figsize=(16,4))\n",
        "plt.plot(audio_numpy, linewidth=0.4)\n",
        "plt.ylabel('Amplitude')\n",
        "plt.xlabel('Samples')\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "t-dE1l-dOVwn",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:03:44.803621Z",
          "iopub.execute_input": "2025-01-13T18:03:44.803892Z",
          "iopub.status.idle": "2025-01-13T18:03:50.353971Z",
          "shell.execute_reply.started": "2025-01-13T18:03:44.803869Z",
          "shell.execute_reply": "2025-01-13T18:03:50.353101Z"
        },
        "outputId": "60d4cdb5-e35b-4407-99f6-ba0d156ad372"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1600x400 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Play response audio\n",
        "Audio(audio_numpy, rate=rate)"
      ],
      "metadata": {
        "id": "PNwE-1SuObFF",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:03:50.356942Z",
          "iopub.execute_input": "2025-01-13T18:03:50.357216Z",
          "iopub.status.idle": "2025-01-13T18:03:50.371226Z",
          "shell.execute_reply.started": "2025-01-13T18:03:50.357193Z",
          "shell.execute_reply": "2025-01-13T18:03:50.370371Z"
        },
        "outputId": "72a48d3c-44a2-4cdc-92ec-71e86317c6a3"
      },
      "outputs": [
        {
          "execution_count": 92,
          "output_type": "execute_result",
          "data": {
            "text/plain": "<IPython.lib.display.Audio object>",
            "text/html": "\n                <audio  controls=\"controls\" >\n                    <source src=\"data:audio/wav;base64,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\" type=\"audio/wav\" />\n                    Your browser does not support the audio element.\n                </audio>\n              "
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Potential Extensions"
      ],
      "metadata": {
        "id": "mgu3JQjGc37i"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Improved Audio\n",
        "\n",
        "We use a bigger model to recognize the speech, tha basic model is whisper but now we use the larger version."
      ],
      "metadata": {
        "id": "9C_3YgMPtprd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Setting the device\n",
        "device = \"cuda:0\" if torch.cuda.is_available() else \"cpu\"\n",
        "torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32\n",
        "\n",
        "# Loading the model\n",
        "model_id = \"openai/whisper-large-v3\"\n",
        "\n",
        "model_stp = AutoModelForSpeechSeq2Seq.from_pretrained(\n",
        "    model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True\n",
        ")\n",
        "model_stp.to(device)\n",
        "processor = AutoProcessor.from_pretrained(model_id)\n",
        "\n",
        "pipe = pipeline(\n",
        "    \"automatic-speech-recognition\",\n",
        "    model=model_stp,\n",
        "    tokenizer=processor.tokenizer,\n",
        "    feature_extractor=processor.feature_extractor,\n",
        "    torch_dtype=torch_dtype,\n",
        "    device=device,\n",
        ")"
      ],
      "metadata": {
        "id": "eSQcFys7c37i",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:03:50.372928Z",
          "iopub.execute_input": "2025-01-13T18:03:50.373182Z",
          "iopub.status.idle": "2025-01-13T18:05:14.143234Z",
          "shell.execute_reply.started": "2025-01-13T18:03:50.373159Z",
          "shell.execute_reply": "2025-01-13T18:05:14.141784Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 387,
          "referenced_widgets": [
            "517718876faf436299d88706bb4424b1",
            "40b566b8c6a142199b1aae2043747f29",
            "47f32ff45f3a412d8cc59473d014e8bb",
            "60d2a9bc5d8345128e8b58b57fc500b6",
            "7629a043c26f4bee8afaaffa844f3388",
            "e8225c1c8140457193165a789127ae2e",
            "7bdf7146beb64eb8b5165cedc8778c1c",
            "4a8ba088b63440ed9c90cfd991dc5b03",
            "5deee521852841848ce43198dfd4dbce",
            "f425dc2cb2a2422992cc5c0e57f56284",
            "a5ddf2cc551f4767a4ab9d233159a814",
            "e859e824c34b481b9d9759c537fd330e",
            "e395016789054e92914cb5f00213c375",
            "6902fb6c5def47e3bd966f6abf749a4d",
            "66189912ae944d6d954e888268d662dd",
            "7167b486cbd048a7929b49f8cdefe195",
            "aae2779e99e74fc0a2b6b31bbe69c7dc",
            "a7b6dd3a188146248093ee5c502d68e7",
            "1f44383baaee4038b1076b82e4ae5cf1",
            "2c986025fb8b4a36bd276659774511af",
            "3a55b32860be46afb1c4a9433b7a7c19",
            "332c339019a64ecd8e83bc7cf6ed0cf4",
            "3b09c15f87844718bcb6639eb0121695",
            "0945a769b584495c88fa467de8d281e6",
            "412049595e8b468e960ece40b0759d4a",
            "8e41aba862a54489b14630f97d2d502a",
            "3699f0ce0d68481383be8e3603bd3d52",
            "7dd76df86c84406ba0159a09e0de636d",
            "276636d40a1d4331aba840b7ce70635b",
            "4d591f2896c84a0ab342e73237e5907d",
            "575ab2e21274449bb3ca576896a4bf7d",
            "123c83f099d34112991b217157457de1",
            "efc7b459f94d4c88938ce6ad66f99fca",
            "f4a4dc5dadaf4f21ab68996843628f89",
            "a17d02d208744b4a8822132935fd4cac",
            "9a83c84d5842474482826314d5b106e2",
            "45bf2939f13a41548ef218f050ce8a12",
            "72c73d39dfb04864800540cb93ac3a7b",
            "be991c6a6134499e88d45ecb91fb450b",
            "277a16094680443891aefc1489a82533",
            "de480f96f3b249d78d94f1c7a4c10b4d",
            "084e3f8db3dc4a37ae26f77fc920e70d",
            "50d1c0cb8e0b45fe9a2a786a91646c54",
            "cc3883bbf1514c20b3808ab5f2430ca9",
            "e8cbee27593e48c3ba22cf89431c1de5",
            "fa092ae6df5a4978b35fa41d0273d6fb",
            "3e76eca36028447f980836fead3c8195",
            "62c63c4e6a594a319f2ad39c4fabf9cd",
            "c33cc0d8be8944538357452ad0304b98",
            "39e252ff8729400890455b1c8d2cdf81",
            "88377e7af3644025993525d86b2610a4",
            "d0838109548b447fb8b2931e15268618",
            "c07236afec77418480a799c098e9211f",
            "55a190be4daf454c9ecf263d26bdbf72",
            "31a63e6bd121425f866b5a05e1fb1531",
            "45b0023fdc394d629d83b22f2e4e7b09",
            "430a8f2254f2435999474396be8ec173",
            "66cedc94685348de933719a0b99e2945",
            "0922293405e240ccbc0e1db6cc473e3b",
            "e862ada2439e41b38d88ec61068d2b68",
            "d84acbce87ef40079e4acb3a363d0c97",
            "6404f56020bd4fecb5a92c16fd92f4af",
            "7a0d1128ef6a4321bb790e883076ae77",
            "febbe9729b654c54aff451385a83b184",
            "f3f1db0de9374b8dae5893d33ba3a8a8",
            "24f50d2ba3e546449c8cb15c6bc3576d",
            "cd71f16db1284ecb945a9cacea72d574",
            "1716a28d2cfd4f62baa4aa3e7e52abe5",
            "dafebe22cfba41f28d01bbfe9e669241",
            "4eb105096f584e8d8932553df1450850",
            "0a4e54b75a1b4b0fa7567903ec175c3e",
            "cc768b5dbe8a453aa954e2851c18631e",
            "19f024bd232a4fcda26e2d94525b9424",
            "8691a03e0d4a48b2a83e38c94550aed5",
            "2802ae9f92b04880ac3cc05dae71fc86",
            "11240260f2eb419dad7b0dca097e6ccc",
            "1e53dcab8cc1478ab04aafe97b5f3dfd",
            "d394ae433c4248239e10b99323c73d19",
            "e55074edc75b4db3b5277e37bcdba061",
            "909f63b4c3b64acfb45ef1b21748d44d",
            "6bd27cc0c6784a069ce2a9a7f233cffe",
            "818f2ae8ee874a05881d6dfd4f64dbbb",
            "d2f6f8d25ab940eaad598b4555a3f24a",
            "6fdc7633b6d8441192e9919cfb68dd3a",
            "dacfe809585d4edfab8c9a8c121fddea",
            "f73413ed61d54496a227a6e8ad6e578f",
            "e37b8ac5b0fe4407adde647b02583d91",
            "67990c3aa8cb4219b72bc4446e99f7c2",
            "c38f7a3172c649898b48de3f6fe5bf83",
            "faf8e85a8b074213ad1a7265783e8f84",
            "68d555acf03d43d19822236a71c00094",
            "450ca4e4cbb0476292a6ac8bffe5de85",
            "ac54aeb0dce249fc979beaf7e5cd3336",
            "1246ac25f59d4bf6aa0b20a343310a12",
            "8c639dbbc7634ad39bdfd14a22478bcb",
            "da7d82ef210b49f8a7d2dcea7b3d6031",
            "618b99baa284453eaa1bf23a99a6c438",
            "6431d188ed2e4b12a9d7dd8cf50514ed",
            "37f8e9d844374f878ff724bcfc7a596e",
            "d959c06863514615ab5e9492da60f358",
            "c9a9f8f2b9c548429a3e9efeaa4e375f",
            "6260382257154b5693e41412f5882f2a",
            "547e3b6960af44efb06e14090c818ef0",
            "95a9372e975c4450aeaf3ee0800505bb",
            "9e83d12a8cac46f8b0a0e4c38564f3e5",
            "4aef2f4b28ec44f0bfabc6a37752546c",
            "960331f9dbcf4bc38348c4ce05c26afb",
            "2807c2ecd90f4bfea96a9a2808a534a7",
            "76f901b6a7d6452fb4bda453ff568ca6",
            "9a11e8a69ccf4635851364ac1d4ed1b7",
            "8eb925e82bca43949d4bc17e20006c8a",
            "7dbbf51e2fcb49cea2fd050483ceac25",
            "b3a54585f6a64d9987aa70b44cb32ef4",
            "e5160a936ea44310952f9926e078e524",
            "3371274fc60e4a018dc7b5e29fe754a1",
            "6d4a55cba17d4cb8999465d959c66738",
            "9f49e905cdf246baa2e2df0e4142f9e6",
            "efb1d01c55cc4c2eaf2945fb61949cfb",
            "9e6f7889d66f4555bef5c28a01f190c8",
            "8f5a6735d453474a9fd0eacdccfb854a",
            "f3734ec5fbb94fa3bc3e9e07210357e3"
          ]
        },
        "outputId": "67fabdba-193f-46e8-aa50-c4cc0003b81b"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "config.json:   0%|          | 0.00/1.27k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "517718876faf436299d88706bb4424b1"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "model.safetensors:   0%|          | 0.00/3.09G [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "e859e824c34b481b9d9759c537fd330e"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "generation_config.json:   0%|          | 0.00/3.90k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "3b09c15f87844718bcb6639eb0121695"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "preprocessor_config.json:   0%|          | 0.00/340 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "f4a4dc5dadaf4f21ab68996843628f89"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer_config.json:   0%|          | 0.00/283k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "e8cbee27593e48c3ba22cf89431c1de5"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "vocab.json:   0%|          | 0.00/1.04M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "45b0023fdc394d629d83b22f2e4e7b09"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer.json:   0%|          | 0.00/2.48M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "cd71f16db1284ecb945a9cacea72d574"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "merges.txt:   0%|          | 0.00/494k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "d394ae433c4248239e10b99323c73d19"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "normalizer.json:   0%|          | 0.00/52.7k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "c38f7a3172c649898b48de3f6fe5bf83"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "added_tokens.json:   0%|          | 0.00/34.6k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "d959c06863514615ab5e9492da60f358"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "special_tokens_map.json:   0%|          | 0.00/2.07k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "8eb925e82bca43949d4bc17e20006c8a"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Device set to use cuda:0\n"
          ]
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Inference the model\n",
        "result = pipe(\"/content/recording.wav\")\n",
        "print(result[\"text\"])"
      ],
      "metadata": {
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:05.013861Z",
          "iopub.execute_input": "2025-01-13T18:06:05.014154Z",
          "iopub.status.idle": "2025-01-13T18:06:06.229590Z",
          "shell.execute_reply.started": "2025-01-13T18:06:05.014133Z",
          "shell.execute_reply": "2025-01-13T18:06:06.228802Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "j_aLeVBu5KXH",
        "outputId": "e2014f84-7a6b-4d32-9117-e50e6441a700"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/transformers/models/whisper/generation_whisper.py:512: FutureWarning: The input name `inputs` is deprecated. Please make sure to use `input_features` instead.\n",
            "  warnings.warn(\n",
            "Due to a bug fix in https://github.com/huggingface/transformers/pull/28687 transcription using a multilingual Whisper will default to language detection followed by transcription instead of translation to English.This might be a breaking change for your use case. If you want to instead always translate your audio to English, make sure to pass `language='en'`.\n",
            "Passing a tuple of `past_key_values` is deprecated and will be removed in Transformers v4.43.0. You should pass an instance of `EncoderDecoderCache` instead, e.g. `past_key_values=EncoderDecoderCache.from_legacy_cache(past_key_values)`.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " What are the symptoms of fever?\n"
          ]
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Inference the model with our question\n",
        "question = result[\"text\"]\n",
        "print(question)\n",
        "\n",
        "# Loading the fine-tuned model and the tokenizer for inference\n",
        "model = AutoModelForCausalLM.from_pretrained(\n",
        "    base_model,\n",
        "    quantization_config=quant_config,\n",
        "    device_map={\"\": 0},\n",
        "    torch_dtype=torch.float32,\n",
        "    trust_remote_code=True\n",
        ")\n",
        "# Set the right template for the question\n",
        "messages = [\n",
        "    {\"role\": \"user\", \"content\": f\"Answer this question truthfully:{question}\"},\n",
        "]\n",
        "\n",
        "# Standard generation\n",
        "inputs = tokenizer.apply_chat_template(\n",
        "    messages,\n",
        "    tokenize = True,\n",
        "    add_generation_prompt = True,\n",
        "    return_tensors = \"pt\",\n",
        ").to(\"cuda\")\n",
        "\n",
        "print(\"\\n Generation:\")\n",
        "streamer = TextStreamer(tokenizer, skip_prompt = True)\n",
        "\n",
        "response = model.generate(\n",
        "    input_ids = inputs,\n",
        "    streamer = streamer,\n",
        "    max_new_tokens = 64,\n",
        "    use_cache = True,\n",
        "    temperature = 0.7,\n",
        "    min_p = 0.1\n",
        ")\n",
        "\n",
        "# Get the response\n",
        "resp = tokenizer.decode(response[0], skip_special_tokens=True)\n",
        "response = resp.partition('assistant')[2][2:]"
      ],
      "metadata": {
        "id": "6H9L3uHQc37i",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:09:10.017459Z",
          "iopub.execute_input": "2025-01-13T18:09:10.017818Z",
          "iopub.status.idle": "2025-01-13T18:09:19.395528Z",
          "shell.execute_reply.started": "2025-01-13T18:09:10.017791Z",
          "shell.execute_reply": "2025-01-13T18:09:19.394326Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 353,
          "referenced_widgets": [
            "c28c3a721f8d4ff49266027637d40488",
            "2a1e2f445d3f43c1bfaa1998d8848c38",
            "95b7e4bbfba5450aa3c4de300c2bbfc6",
            "f945ddb4d493442babc868ceb1ba86d9",
            "ca568573a2754ba596510609cc952ed3",
            "26a40f9ed30e4d27a812e92ced5ef1fa",
            "6ffb98152eae4d24a6cba4fc8e59e04f",
            "961d73c6128d4720add91baf7570dbb0",
            "b9e0d2b0eaf54f8e8430d5e21eb98283",
            "3235477be81a4c069237d859eaae57a4",
            "2e41b11bfde148c5904302579c706a61",
            "de449ab187174923aab2de4c429686be",
            "b95599d8e86a4fd5aa019dfa2f919b0a",
            "ed4a1186e2a64cfa87758787bfb9f05d",
            "1547abbd76ed4de6adb916fcd2934e1e",
            "4f41f3f382d64787a86118834ddaae2d",
            "30140fe3320947b5b8bbc44cc4828148",
            "4b4542c38caf4a4f81cc90cfead703dc",
            "6dc23dfa294e404ba4d04a1062ccf837",
            "977515d736b6407680a3948c15e38635",
            "03a05380adca42bab8faf5b44373f3a6",
            "24c27ba2b8b9426d9c83af698fd18da4",
            "d2426c24f8b14fe399b7aee32204ce68",
            "46d3441493db4bbc831301633c23fc6d",
            "48de9343a38d449183e373297b36fc11",
            "ca20ccf034b24b2bb7835f76b5bb09ae",
            "e4242bdc219e492f8af0d920e5b00dd7",
            "c33307375cc142368e4cca11ee4b1c9d",
            "40bb5995653d480bbb39dfb12ad0f437",
            "c71534c89d484045aa586ffb9e88ad6c",
            "0f622742dcda487bbd5c534ac3fd325c",
            "86f3e65651f74e80944f2c6105e813ba",
            "d6f10006bdc041b79cc6f19c605583d2"
          ]
        },
        "outputId": "2ee5e454-b956-45fe-d19e-fb03adcdf788"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " What are the symptoms of fever?\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "config.json:   0%|          | 0.00/877 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "c28c3a721f8d4ff49266027637d40488"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "model.safetensors:   0%|          | 0.00/2.47G [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "de449ab187174923aab2de4c429686be"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "generation_config.json:   0%|          | 0.00/189 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "d2426c24f8b14fe399b7aee32204ce68"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "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",
            "The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            " Generation:\n",
            "The symptoms of fever can vary from person to person, but here are some common ones:\n",
            "\n",
            "1. **Fever itself**: A body temperature of 100.4°F (38°C) or higher is considered fever.\n",
            "\n",
            "2. **Headache**: A headache is one of the most common symptoms of fever.\n",
            "\n",
            "3.\n"
          ]
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "We use a different model for Text-to-speech to achieve a custom voice"
      ],
      "metadata": {
        "id": "1PGt2CvB5KXH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Load text to speech model\n",
        "tts = TTS(\"tts_models/multilingual/multi-dataset/xtts_v2\")\n",
        "tts.to(device)\n",
        "\n",
        "# Generate speech by cloning a voice\n",
        "tts.tts_to_file(text=response,\n",
        "                file_path=\"output_tts.wav\",\n",
        "                speaker_wav=\"obama_audio.mp3\",\n",
        "                language=\"en\")"
      ],
      "metadata": {
        "id": "S56zwOs2c37i",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.697650Z",
          "iopub.status.idle": "2025-01-13T18:06:57.697935Z",
          "shell.execute_reply": "2025-01-13T18:06:57.697822Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 534
        },
        "outputId": "b69d23e7-c3d3-430c-d3c6-4c6787d1c7ef"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " > You must confirm the following:\n",
            " | > \"I have purchased a commercial license from Coqui: licensing@coqui.ai\"\n",
            " | > \"Otherwise, I agree to the terms of the non-commercial CPML: https://coqui.ai/cpml\" - [y/n]\n",
            " | | > y\n",
            " > Downloading model to /root/.local/share/tts/tts_models--multilingual--multi-dataset--xtts_v2\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|█████████▉| 1.87G/1.87G [00:44<00:00, 42.6MiB/s]\n",
            "100%|██████████| 1.87G/1.87G [00:44<00:00, 41.8MiB/s]\n",
            "100%|██████████| 4.37k/4.37k [00:00<00:00, 15.7kiB/s]\n",
            " 55%|█████▍    | 198k/361k [00:00<00:00, 1.53MiB/s]\n",
            "100%|██████████| 361k/361k [00:00<00:00, 919kiB/s] \n",
            "100%|██████████| 32.0/32.0 [00:00<00:00, 92.0iB/s]\n",
            " 55%|█████▍    | 4.24M/7.75M [00:00<00:00, 40.8MiB/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " > Model's license - CPML\n",
            " > Check https://coqui.ai/cpml.txt for more info.\n",
            " > Using model: xtts\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/TTS/tts/layers/xtts/xtts_manager.py:5: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
            "  self.speakers = torch.load(speaker_file_path)\n",
            "100%|██████████| 7.75M/7.75M [00:13<00:00, 40.8MiB/s]/usr/local/lib/python3.10/dist-packages/TTS/utils/io.py:54: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
            "  return torch.load(f, map_location=map_location, **kwargs)\n",
            "GPT2InferenceModel has generative capabilities, as `prepare_inputs_for_generation` is explicitly overwritten. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.\n",
            "  - If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes\n",
            "  - If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).\n",
            "  - If you are not the owner of the model architecture class, please contact the model code owner to update it.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " > Text splitted to sentences.\n",
            "['The symptoms of fever can vary from person to person, but here are some common ones:', '1. **Fever itself**: A body temperature of 100.4°F (38°C) or higher is considered fever.', '2. **Headache**: A headache is one of the most common symptoms of fever.', '3.']\n",
            " > Processing time: 14.847885847091675\n",
            " > Real-time factor: 0.6776474593662477\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'output_tts.wav'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 13
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Audio with generated response\n",
        "Audio(\"output_tts.wav\")"
      ],
      "metadata": {
        "id": "zFCg_Vsdc37i",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.698818Z",
          "iopub.status.idle": "2025-01-13T18:06:57.699168Z",
          "shell.execute_reply": "2025-01-13T18:06:57.698992Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 62
        },
        "outputId": "917b005f-8e65-4dc1-d979-896224e608e3"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ],
            "text/html": [
              "\n",
              "                <audio  controls=\"controls\" >\n",
              "                    <source src=\"data:audio/x-wav;base64,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\" type=\"audio/x-wav\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Chat Bot"
      ],
      "metadata": {
        "id": "SPypvRtFo9y3"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Now we want to use our fine-tuned model as a chatbot which in a continuos way responds to the user's questions."
      ],
      "metadata": {
        "id": "toWR_1li5KXH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Initialise dialogue history\n",
        "dialogue_history = [\"Hello, I'm a medical assistant chatbot, how can I help you?\\n\"]\n",
        "\n",
        "# Start chatting\n",
        "print(\"Press [Ctrl-C] to stop\\n\\n\\n\\n\")\n",
        "print(f\"Chatbot: {dialogue_history[0]}\")\n",
        "# Keep talking until stop\n",
        "running = True\n",
        "while running:\n",
        "    try:\n",
        "        # Read user message\n",
        "        user_message = input(\"User: \")\n",
        "        # Append message to dialogue history\n",
        "        dialogue_history.append(user_message)\n",
        "        # Search for a chatbot response\n",
        "        text = inference(user_message, model, tokenizer)\n",
        "\n",
        "        # Append chatbot response to dialogue history\n",
        "        dialogue_history.append(text)\n",
        "        # Print chatbot response\n",
        "        print(f\"Chatbot: {text}\\n\")\n",
        "    except KeyboardInterrupt:\n",
        "        running = False"
      ],
      "metadata": {
        "id": "0pnRhiT6Di2b",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.700116Z",
          "iopub.status.idle": "2025-01-13T18:06:57.700523Z",
          "shell.execute_reply": "2025-01-13T18:06:57.700332Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "810d04ef-66dc-4a01-981c-ce016b39c948"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Press [Ctrl-C] to stop\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Chatbot: Hello, I'm a medical assistant chatbot, how can I help you?\n",
            "\n",
            "User: what are the symptoms of fever?\n",
            "Chatbot: The symptoms of fever can vary from person to person, but here are some common ones:\n",
            "\n",
            "**Mild to Moderate Fever:**\n",
            "\n",
            "1. Elevated body temperature (usually above 100.4°F or 38°C)\n",
            "2. Fever rash (also known as chills)\n",
            "3. Headache\n",
            "4. Fatigue\n",
            "5. Muscle aches\n",
            "6. Joint pain\n",
            "7. Nausea and vomiting\n",
            "8. Diarrhea\n",
            "9. Loss of appetite\n",
            "10. Sweating\n",
            "\n",
            "**Severe Fever:**\n",
            "\n",
            "1. High fever (usually above 103°F or 39.4°C)\n",
            "2. Se\n",
            "\n"
          ]
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Unsloth"
      ],
      "metadata": {
        "id": "oSvH1RiqHVIv"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "[Unsloth](https://unsloth.ai) provides an efficient framework for deploying large-scale language models with minimal computational and memory overhead. By incorporating 4-bit quantization, Unsloth models achieve faster inference and significantly reduce hardware requirements without compromising performance.\n",
        "\n",
        "This makes it an excellent choice for:\n",
        "- Large-scale text generation tasks\n",
        "- Real-time applications\n",
        "- Deployments in resource-constrained environments\n",
        "\n",
        "Additionally,  offers a diverse set of pre-trained and fine-tuned models for various use cases, ensuring flexibility and adaptability to a wide range of NLP tasks.\n"
      ],
      "metadata": {
        "id": "Cfh79ivuuIs_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Define maximum sequence length; RoPE Scaling is auto-supported for longer sequences.\n",
        "max_seq_length = 2048\n",
        "\n",
        "# Set computation data type. Auto-detected by default; use Float16 or Bfloat16 for specific GPUs.\n",
        "dtype = None\n",
        "\n",
        "# Enable 4-bit quantization to save memory and boost inference speed.\n",
        "load_in_4bit = True\n",
        "\n",
        "# Pre-quantized 4-bit models for faster downloads and reduced memory usage.\n",
        "fourbit_models = [\n",
        "    \"unsloth/Meta-Llama-3.1-8B-bnb-4bit\",\n",
        "    \"unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit\",\n",
        "    \"unsloth/Meta-Llama-3.1-70B-bnb-4bit\",\n",
        "    \"unsloth/Meta-Llama-3.1-405B-bnb-4bit\",\n",
        "    \"unsloth/Mistral-Small-Instruct-2409\",\n",
        "    \"unsloth/mistral-7b-instruct-v0.3-bnb-4bit\",\n",
        "    \"unsloth/Phi-3.5-mini-instruct\",\n",
        "    \"unsloth/Phi-3-medium-4k-instruct\",\n",
        "    \"unsloth/gemma-2-9b-bnb-4bit\",\n",
        "    \"unsloth/gemma-2-27b-bnb-4bit\",\n",
        "    \"unsloth/Llama-3.2-1B-bnb-4bit\",\n",
        "    \"unsloth/Llama-3.2-1B-Instruct-bnb-4bit\",\n",
        "    \"unsloth/Llama-3.2-3B-bnb-4bit\",\n",
        "    \"unsloth/Llama-3.2-3B-Instruct-bnb-4bit\",\n",
        "    \"unsloth/Llama-3.3-70B-Instruct-bnb-4bit\"\n",
        "]\n",
        "\n",
        "# Load the specified pre-trained model and tokenizer with chosen settings.\n",
        "model, tokenizer = FastLanguageModel.from_pretrained(\n",
        "    model_name = \"unsloth/Llama-3.2-3B-Instruct\",\n",
        "    dtype = dtype,\n",
        "    load_in_4bit = load_in_4bit,\n",
        ")\n"
      ],
      "metadata": {
        "id": "TtOVoYxocULS",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.701587Z",
          "iopub.status.idle": "2025-01-13T18:06:57.701871Z",
          "shell.execute_reply": "2025-01-13T18:06:57.701768Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287,
          "referenced_widgets": [
            "c0c9907e1f274d2e8b9d989155813903",
            "d4393168a2f14141a968e803f3d6fbf0",
            "6de95a65edac43f8bb85635d091b6bc6",
            "c477558b50534e0e91d20d0c56fa6b00",
            "78dce176eb284683a35bbce2fced493f",
            "b7810c42e9ea492cb4b800bbccd61e32",
            "28284dc6ebb14126bc9fbe43f29c464e",
            "39866106c49d445b9b90697b43d19490",
            "61d095911582499bbbb1161ebfe4d162",
            "6b648b5b1fc1418e8969a2f1d6417887",
            "8e1f68fa448242c2a2379e78fbcd2eea",
            "54791587aea64f3b862767f707364629",
            "a4a4ca55801849d89ec8c486b3b56eed",
            "620be67b7eda4c7599164aeda532e35f",
            "51b3d72bd7fb4873b2e660c80a49b875",
            "45f644e3ec5d4fb09af248c2d17a3dfc",
            "eba2792b649e4810b84bad30b20aee4b",
            "92d668de68ef47709fbe081c013372e1",
            "f1552db3f15d4ed9aeeaf6feff4c4366",
            "f9c103902baf4dc8ae1690213b8eaa16",
            "a6df8de43cf64ee0bac9caecfef0c30b",
            "e2d6b502c89a467eb6c22e021e5ba815",
            "8a0a0da80cd7422390668a3e6cf337d9",
            "e87db1270f964c5a9391e72b7b7988f8",
            "56e6fc84c64b4a6383e45ae7122c8719",
            "da49111870c649618a89356f00ad6822",
            "eebf6b76ccf34cfd8d27b9508d7e8444",
            "91e8a9aeeb3e4220a295334cb2a80074",
            "07ac99861383432988147dcdd965295e",
            "90e538c77e9b48fd8afd38032340b1ee",
            "1c1f240809c54408acbb9eb0687ceb4e",
            "0be26d8f28034480a0d748492dee9445",
            "0b90a2e55b124989b9ecc04941168a5a",
            "08bedba70fc04bdb86e71630aed5165e",
            "a718555008204633aa775ba4491f0fdb",
            "8841f6adb2f3400eac735d2a8bab1255",
            "b258e91e40224375b571bc8dbb3d868d",
            "737bc03300004deaa4198fc979cc9325",
            "691c42e40bf34f4fb6c22fed4cedda9e",
            "4e00ccbcf1694e228eb693814efc69ec",
            "116c70ca0dbd47b2a865579e3c377696",
            "c9041640567e4a0096e559da5390a85d",
            "dd2df318232c4b07a9b1b165cc052e3c",
            "ed554bff361f4f61a5fc181f50981145",
            "083fdc7f33d34ab2980f013513ca8ff0",
            "e7f3a14d4f6845328a9cc740181b5a85",
            "3eddad9f2bc94c94b8dd0aef7960a5ae",
            "ff7d8195d7fb41e1b33fc78b71a4d35c",
            "542ea4fa8df9451a8dbfd557e30ba6bc",
            "75f9dc220d9b4488b747a6d99b415295",
            "0c86c102b1ab401da38ff3b60fe1ee70",
            "f93b3064d0f5477dae231f8e7dc3b771",
            "5e34652c938442e486c72b20d55e65e7",
            "7fee19a786ae429088ac29af00254d72",
            "e335e427e0724750a8ebb5f700d7cd52"
          ]
        },
        "outputId": "85293537-8761-4859-c8d8-2b741f4090fb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "==((====))==  Unsloth 2025.1.5: Fast Llama patching. Transformers: 4.47.1.\n",
            "   \\\\   /|    GPU: Tesla T4. Max memory: 14.748 GB. Platform: Linux.\n",
            "O^O/ \\_/ \\    Torch: 2.5.1+cu121. CUDA: 7.5. CUDA Toolkit: 12.1. Triton: 3.1.0\n",
            "\\        /    Bfloat16 = FALSE. FA [Xformers = 0.0.29.post1. FA2 = False]\n",
            " \"-____-\"     Free Apache license: http://github.com/unslothai/unsloth\n",
            "Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "model.safetensors:   0%|          | 0.00/2.24G [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "c0c9907e1f274d2e8b9d989155813903"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "generation_config.json:   0%|          | 0.00/184 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "54791587aea64f3b862767f707364629"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer_config.json:   0%|          | 0.00/54.6k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "8a0a0da80cd7422390668a3e6cf337d9"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer.json:   0%|          | 0.00/9.09M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "08bedba70fc04bdb86e71630aed5165e"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "special_tokens_map.json:   0%|          | 0.00/454 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "083fdc7f33d34ab2980f013513ca8ff0"
            }
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "LoRA adapters"
      ],
      "metadata": {
        "id": "vR87HRbfce2i"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Configure the PEFT (Parameter-Efficient Fine-Tuning) model with LoRA (Low-Rank Adaptation).\n",
        "model = FastLanguageModel.get_peft_model(\n",
        "    model,\n",
        "    r = 16,  # LoRA rank; suggested values: 8, 16, 32, 64, 128\n",
        "    target_modules = [\"q_proj\", \"k_proj\", \"v_proj\", \"o_proj\",\n",
        "                      \"gate_proj\", \"up_proj\", \"down_proj\"],  # Modules to apply LoRA\n",
        "    lora_alpha = 16,  # Scaling factor for LoRA\n",
        "    lora_dropout = 0,  # Dropout rate; 0 is optimized for most cases\n",
        "    bias = \"none\",  # Bias mode; \"none\" is optimized for minimal overhead\n",
        "    use_gradient_checkpointing = \"unsloth\",  # Optimized gradient checkpointing for long contexts\n",
        "    random_state = 3407,  # Seed for reproducibility\n",
        "    use_rslora = False,  # Enable Rank Stabilized LoRA\n",
        "    loftq_config = None,  # Config for LoFT-Q quantization\n",
        ")"
      ],
      "metadata": {
        "id": "G-0tWbxschYi",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.702723Z",
          "iopub.status.idle": "2025-01-13T18:06:57.703013Z",
          "shell.execute_reply": "2025-01-13T18:06:57.702884Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2c4841a8-9653-44c1-8891-66119d59bf2b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Unsloth 2025.1.5 patched 28 layers with 28 QKV layers, 28 O layers and 28 MLP layers.\n"
          ]
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "Format Template"
      ],
      "metadata": {
        "id": "4MovmBY3c3Rm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Load the dataset\n",
        "dataset = load_dataset(\"medalpaca/medical_meadow_medical_flashcards\", split=\"train\")\n",
        "\n",
        "# Set up the tokenizer with Llama-3.1 chat template\n",
        "tokenizer = get_chat_template(\n",
        "    tokenizer,\n",
        "    chat_template=\"llama-3.1\",\n",
        ")"
      ],
      "metadata": {
        "id": "5w8bQdnhc9G3",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.703599Z",
          "iopub.status.idle": "2025-01-13T18:06:57.703861Z",
          "shell.execute_reply": "2025-01-13T18:06:57.703757Z"
        }
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "def format_examples(examples):\n",
        "    \"\"\"Format the examples while maintaining original columns\"\"\"\n",
        "    texts = []\n",
        "    for instruction, input_text, output in zip(\n",
        "        examples['instruction'],\n",
        "        examples['input'],\n",
        "        examples['output']\n",
        "    ):\n",
        "        # Apply the template to each example individually\n",
        "        formatted_text = tokenizer.apply_chat_template(\n",
        "            [\n",
        "                {\"role\": \"user\", \"content\": f\"{instruction}: {input_text}\"},\n",
        "                {\"role\": \"assistant\", \"content\": output}\n",
        "            ],\n",
        "            tokenize=False,\n",
        "            add_generation_prompt=False\n",
        "        )\n",
        "        texts.append(formatted_text)\n",
        "\n",
        "    # Return all original columns plus the formatted text\n",
        "    return {\n",
        "        \"instruction\": examples[\"instruction\"],\n",
        "        \"input\": examples[\"input\"],\n",
        "        \"output\": examples[\"output\"],\n",
        "        \"text\": texts\n",
        "    }"
      ],
      "metadata": {
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.704525Z",
          "iopub.status.idle": "2025-01-13T18:06:57.704800Z",
          "shell.execute_reply": "2025-01-13T18:06:57.704694Z"
        },
        "id": "lBn7F9nG5KXI"
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Apply the formatting while keeping original columns\n",
        "formatted_dataset = dataset.map(\n",
        "    format_examples,\n",
        "    batched=True,\n",
        ")"
      ],
      "metadata": {
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.705715Z",
          "iopub.status.idle": "2025-01-13T18:06:57.706009Z",
          "shell.execute_reply": "2025-01-13T18:06:57.705885Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "c5d48c18a4164626ba352e96356c1a12",
            "45c320b63c0943e08f2d87bb8b238eba",
            "f3a9706e401f47d38b00d852b9ec408b",
            "62081679dc0040a4987a7228d9b6cd66",
            "798e1c0c6277494d826cb8104cc47e59",
            "3605a25af3244ab5afa2605e78813984",
            "a62f69033d3547668bd854ef97dab6b7",
            "6291949deeb54b518ad11e1e654bf996",
            "f52b641d18d94057b57dde628a58086b",
            "4468c5266b4e4d6a8522cc483b99e561",
            "fb48c07f203248159102d7cb496180ed"
          ]
        },
        "id": "oLHRYKdZ5KXI",
        "outputId": "b29350c1-7319-459e-b0bc-cc194d4c994d"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Map:   0%|          | 0/33955 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "c5d48c18a4164626ba352e96356c1a12"
            }
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Print an example to verify the format\n",
        "print(\"Example of formatted conversation:\")\n",
        "print(formatted_dataset[0]['text'])\n",
        "\n",
        "# The dataset is now ready for training\n",
        "# You can access it as formatted_dataset['text']\n",
        "train_dataset, val_dataset, test_dataset = random_split(formatted_dataset, [0.8, 0.1, 0.1])\n",
        "# If you need to split it into train/validation sets:\n",
        "train_val = formatted_dataset.train_test_split(test_size=0.1, seed=42)\n",
        "train_data = train_val['train']\n",
        "val_data = train_val['test']\n",
        "\n",
        "print(\"\\nDataset sizes:\")\n",
        "print(f\"Train: {len(train_data)}\")\n",
        "print(f\"Validation: {len(val_data)}\")"
      ],
      "metadata": {
        "id": "9acv847bdClb",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.706864Z",
          "iopub.status.idle": "2025-01-13T18:06:57.707165Z",
          "shell.execute_reply": "2025-01-13T18:06:57.707042Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "806ba9de-e65b-469e-fbf0-dfe76928836e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Example of formatted conversation:\n",
            "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n",
            "\n",
            "Cutting Knowledge Date: December 2023\n",
            "Today Date: 26 July 2024\n",
            "\n",
            "<|eot_id|><|start_header_id|>user<|end_header_id|>\n",
            "\n",
            "Answer this question truthfully: What is the relationship between very low Mg2+ levels, PTH levels, and Ca2+ levels?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n",
            "\n",
            "Very low Mg2+ levels correspond to low PTH levels which in turn results in low Ca2+ levels.<|eot_id|>\n",
            "\n",
            "Dataset sizes:\n",
            "Train: 30559\n",
            "Validation: 3396\n"
          ]
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Unsloth training"
      ],
      "metadata": {
        "id": "GDmyCvJZHX3U"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Train the model"
      ],
      "metadata": {
        "id": "5kca4Wt6dGMb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Data collator preparation for the dataset\n",
        "data_collator = DataCollatorForSeq2Seq(tokenizer=tokenizer)\n",
        "\n",
        "# Trainer with evaluation and without reporting\n",
        "trainer = SFTTrainer(\n",
        "    model=model,\n",
        "    tokenizer=tokenizer,\n",
        "    train_dataset=train_data,  # Training dataset\n",
        "    # eval_dataset=val_data,  # Validation dataset\n",
        "    dataset_text_field=\"text\",\n",
        "    max_seq_length=max_seq_length,\n",
        "    data_collator=data_collator,\n",
        "    dataset_num_proc=2,\n",
        "    packing=False,\n",
        "    args=TrainingArguments(\n",
        "        per_device_train_batch_size=4,  # Training batch size\n",
        "        per_device_eval_batch_size=8,  # Evaluation batch size\n",
        "        gradient_accumulation_steps=8,\n",
        "        warmup_steps=10,\n",
        "        max_steps=30,\n",
        "        learning_rate=1e-4,\n",
        "        fp16=True,  # Mixed precision\n",
        "        logging_steps=2,  # Log every 2 steps\n",
        "        # eval_strategy=\"steps\",  # Enable evaluation\n",
        "        # eval_steps=2,  # Evaluation frequency\n",
        "        save_steps=50,  # Checkpoint saving frequency\n",
        "        save_total_limit=2,  # Limit the number of saved checkpoints\n",
        "        optim=\"adamw_8bit\",\n",
        "        weight_decay=0.01,\n",
        "        lr_scheduler_type=\"cosine\",\n",
        "        seed=42,\n",
        "        output_dir=\"outputs\",\n",
        "        report_to=\"none\",  # Disable reporting\n",
        "        # load_best_model_at_end=True,  # Load the best model at the end\n",
        "        metric_for_best_model=\"eval_loss\",  # Use loss as the metric\n",
        "        greater_is_better=False,  # Lower loss is better\n",
        "    ),\n",
        ")"
      ],
      "metadata": {
        "id": "-OCmnk9fdNuB",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.708040Z",
          "iopub.status.idle": "2025-01-13T18:06:57.708343Z",
          "shell.execute_reply": "2025-01-13T18:06:57.708237Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "b7cb17a84c174c418d312cdd620d61be",
            "b78b78e21eb6458f9dbc1a7b58a4aaa1",
            "4c92c8f2460540df9b109fc97aca4dd3",
            "78eb5bf5f0314b8a9910f043fd9a7b84",
            "0dba6b53a3a04d058899ba645ee883e4",
            "3633daf1e8ee4cc6bc34d6688632b778",
            "f33fc9da52904467bd42a5e020b212d6",
            "f7cf7749302246d484b7647b0be28165",
            "40ba9e436fd547598285e28fff2f8843",
            "ce9b7efd514a44d192812b0c25903967",
            "a437b920777d4933a73ee9b1bafe0df3"
          ]
        },
        "outputId": "4627a5b6-b451-460a-b6fb-6fab28cbc9d4"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Map (num_proc=2):   0%|          | 0/30559 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "b7cb17a84c174c418d312cdd620d61be"
            }
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# We use Unsloth's train_on_completions method to focus training on the assistant's responses\n",
        "trainer = train_on_responses_only(\n",
        "    trainer,\n",
        "    instruction_part = \"<|start_header_id|>user<|end_header_id|>\\n\\n\",  # Identifier for the user's input\n",
        "    response_part = \"<|start_header_id|>assistant<|end_header_id|>\\n\\n\",  # Identifier for the assistant's output\n",
        ")"
      ],
      "metadata": {
        "id": "BgiZ1Fi7dT5H",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.709001Z",
          "iopub.status.idle": "2025-01-13T18:06:57.709308Z",
          "shell.execute_reply": "2025-01-13T18:06:57.709138Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "a80ef24cf301406fbc6011bcade3cd2d",
            "19697512107540fe90b945877a548887",
            "0d46138470284fb98920ae2d9fcbf13a",
            "545577c7238e44559e6f3a65d8dad0f6",
            "d39748b17b814aa8a373b3326c88c544",
            "9341fee29eac400aa03e9484d5e76295",
            "076d882c3c1647c1a6e03a1bdaf7cf18",
            "6accc611cb1f462d82596f9adf14d11f",
            "772f347281aa4ab7ab6e3c5a5d2e25dc",
            "d2d356f574d648e2a16db9aebb983cb7",
            "f1c89c57380c4ae0adfe2db559af924d"
          ]
        },
        "outputId": "74b120bb-cfcd-49f2-87e0-9257c501e4a6"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Map:   0%|          | 0/30559 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "a80ef24cf301406fbc6011bcade3cd2d"
            }
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# We verify that the masking has been correctly applied by decoding the tokenized input\n",
        "tokenizer.decode(trainer.train_dataset[5][\"input_ids\"])"
      ],
      "metadata": {
        "id": "yEaUPiqzdVrS",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.710117Z",
          "iopub.status.idle": "2025-01-13T18:06:57.710357Z",
          "shell.execute_reply": "2025-01-13T18:06:57.710258Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 73
        },
        "outputId": "f92b2435-cd6e-43f1-9953-5358ddc033fb"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'<|begin_of_text|><|start_header_id|>system<|end_header_id|>\\n\\nCutting Knowledge Date: December 2023\\nToday Date: 26 July 2024\\n\\n<|eot_id|><|start_header_id|>user<|end_header_id|>\\n\\nAnswer this question truthfully: Which muscle is considered the most important for inspiration?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\\n\\nThe diaphragm is the most important muscle for inspiration.<|eot_id|>'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 31
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Get the token ID for a space\n",
        "space_token_id = tokenizer(\" \", add_special_tokens=False).input_ids[0]\n",
        "\n",
        "# Process the labels, replacing -100 with the space token ID\n",
        "labels = trainer.train_dataset[5][\"labels\"]\n",
        "processed_labels = [space_token_id if token == -100 else token for token in labels]\n",
        "\n",
        "# Decode the processed labels into text\n",
        "decoded_text = tokenizer.decode(processed_labels)\n",
        "\n",
        "print(decoded_text)"
      ],
      "metadata": {
        "id": "f5kkR3xvdhRw",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.710977Z",
          "iopub.status.idle": "2025-01-13T18:06:57.711202Z",
          "shell.execute_reply": "2025-01-13T18:06:57.711109Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "31d899c6-c942-412a-ec05-cc13a0332885"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                                                  \n",
            "\n",
            "The diaphragm is the most important muscle for inspiration.<|eot_id|>\n"
          ]
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# See the stats before training\n",
        "gpu_stats = torch.cuda.get_device_properties(0)\n",
        "start_gpu_memory = round(torch.cuda.max_memory_reserved() / 1024 / 1024 / 1024, 3)\n",
        "max_memory = round(gpu_stats.total_memory / 1024 / 1024 / 1024, 3)\n",
        "print(f\"GPU = {gpu_stats.name}. Max memory = {max_memory} GB.\")\n",
        "print(f\"{start_gpu_memory} GB of memory reserved.\")"
      ],
      "metadata": {
        "id": "K_1w3r-ud7pc",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.711822Z",
          "iopub.status.idle": "2025-01-13T18:06:57.712126Z",
          "shell.execute_reply": "2025-01-13T18:06:57.711978Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c7bce586-c83d-4ad1-c0ce-ec5e93dc36ed"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "GPU = Tesla T4. Max memory = 14.748 GB.\n",
            "8.703 GB of memory reserved.\n"
          ]
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "trainer_stats = trainer.train()"
      ],
      "metadata": {
        "id": "9fB3HtLtd0-W",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.712951Z",
          "iopub.status.idle": "2025-01-13T18:06:57.713277Z",
          "shell.execute_reply": "2025-01-13T18:06:57.713128Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 638
        },
        "outputId": "89220cdb-8752-42f9-d348-bdea3ce14930"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "==((====))==  Unsloth - 2x faster free finetuning | Num GPUs = 1\n",
            "   \\\\   /|    Num examples = 30,559 | Num Epochs = 1\n",
            "O^O/ \\_/ \\    Batch size per device = 4 | Gradient Accumulation steps = 8\n",
            "\\        /    Total batch size = 32 | Total steps = 30\n",
            " \"-____-\"     Number of trainable parameters = 24,313,856\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "    <div>\n",
              "      \n",
              "      <progress value='30' max='30' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      [30/30 04:36, Epoch 0/1]\n",
              "    </div>\n",
              "    <table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              " <tr style=\"text-align: left;\">\n",
              "      <th>Step</th>\n",
              "      <th>Training Loss</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
              "      <td>1.099400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4</td>\n",
              "      <td>1.135500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6</td>\n",
              "      <td>1.110100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8</td>\n",
              "      <td>1.056600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10</td>\n",
              "      <td>0.962900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12</td>\n",
              "      <td>0.927200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14</td>\n",
              "      <td>0.849000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16</td>\n",
              "      <td>0.919200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18</td>\n",
              "      <td>0.832900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20</td>\n",
              "      <td>0.853400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22</td>\n",
              "      <td>0.814000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24</td>\n",
              "      <td>0.825500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26</td>\n",
              "      <td>0.801600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28</td>\n",
              "      <td>0.866300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30</td>\n",
              "      <td>0.790700</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table><p>"
            ]
          },
          "metadata": {}
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "#Show final memory and time stats\n",
        "used_memory = round(torch.cuda.max_memory_reserved() / 1024 / 1024 / 1024, 3)\n",
        "used_memory_for_lora = round(used_memory - start_gpu_memory, 3)\n",
        "used_percentage = round(used_memory         /max_memory*100, 3)\n",
        "lora_percentage = round(used_memory_for_lora/max_memory*100, 3)\n",
        "print(f\"{trainer_stats.metrics['train_runtime']} seconds used for training.\")\n",
        "print(f\"{round(trainer_stats.metrics['train_runtime']/60, 2)} minutes used for training.\")\n",
        "print(f\"Peak reserved memory = {used_memory} GB.\")\n",
        "print(f\"Peak reserved memory for training = {used_memory_for_lora} GB.\")\n",
        "print(f\"Peak reserved memory % of max memory = {used_percentage} %.\")\n",
        "print(f\"Peak reserved memory for training % of max memory = {lora_percentage} %.\")"
      ],
      "metadata": {
        "id": "qmAOlPjQeJRX",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.715535Z",
          "iopub.status.idle": "2025-01-13T18:06:57.715812Z",
          "shell.execute_reply": "2025-01-13T18:06:57.715705Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "01a9ac77-a3f7-4e94-cfcb-c24467f9d02c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "296.9525 seconds used for training.\n",
            "4.95 minutes used for training.\n",
            "Peak reserved memory = 10.17 GB.\n",
            "Peak reserved memory for training = 1.467 GB.\n",
            "Peak reserved memory % of max memory = 68.959 %.\n",
            "Peak reserved memory for training % of max memory = 9.947 %.\n"
          ]
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "# Save the model\n",
        "model.save_pretrained(\"finetuned_unsloth_model\") # Local saving\n",
        "tokenizer.save_pretrained(\"finetuned_unsloth_model\")"
      ],
      "metadata": {
        "id": "oenKzibBlSnr",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.716328Z",
          "iopub.status.idle": "2025-01-13T18:06:57.716659Z",
          "shell.execute_reply": "2025-01-13T18:06:57.716495Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "4b0040fc-9f32-4d23-a76c-61b3a2875db5"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "('finetuned_unsloth_model/tokenizer_config.json',\n",
              " 'finetuned_unsloth_model/special_tokens_map.json',\n",
              " 'finetuned_unsloth_model/tokenizer.json')"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": [
        "Inference"
      ],
      "metadata": {
        "id": "1Mb8Yzs9eL15"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Setup tokenizer with Llama-3.1 template\n",
        "# Loading the fine-tuned model and the tokenizer for inference\n",
        "model, tokenizer = FastLanguageModel.from_pretrained(\n",
        "        model_name = \"/content/finetuned_unsloth_model\",\n",
        "        max_seq_length = 2048,\n",
        "        dtype = None,\n",
        "        load_in_4bit = True,\n",
        "        device = \"cuda\"\n",
        "    )"
      ],
      "metadata": {
        "id": "_20v1bbjeLZw",
        "trusted": true,
        "execution": {
          "iopub.status.busy": "2025-01-13T18:06:57.717343Z",
          "iopub.status.idle": "2025-01-13T18:06:57.717689Z",
          "shell.execute_reply": "2025-01-13T18:06:57.717561Z"
        }
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# Enable faster inference\n",
        "FastLanguageModel.for_inference(model)\n",
        "\n",
        "# Example medical question from our dataset\n",
        "messages = [\n",
        "    {\"role\": \"user\", \"content\": \"Answer this question truthfully: What is the relationship between very low Mg2+ levels, PTH levels, and Ca2+ levels?\"},\n",
        "]\n",
        "\n",
        "# Standard generation\n",
        "inputs = tokenizer.apply_chat_template(\n",
        "    messages,\n",
        "    tokenize = True,\n",
        "    add_generation_prompt = True,\n",
        "    return_tensors = \"pt\",\n",
        ").to(\"cuda\")\n",
        "\n",
        "\n",
        "print(\"\\n Generation:\")\n",
        "streamer = TextStreamer(tokenizer, skip_prompt = True)\n",
        "\n",
        "\n",
        "_ = model.generate(\n",
        "    input_ids = inputs,\n",
        "    streamer = streamer,\n",
        "    max_new_tokens = 32,\n",
        "    use_cache = True,\n",
        "    temperature = 0.7,\n",
        "    min_p = 0.1\n",
        ")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BMACnjVaFQWz",
        "outputId": "093849ab-4e42-4b0a-9c7e-5c78297f624e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            " Generation:\n",
            "PTH levels are low, and Ca2+ levels are low.<|eot_id|>\n"
          ]
        }
      ]
    }
  ]
}