diff --git "a/model-training/ISOM5240_Project_Model_Training_ipynb(Group_37).ipynb" "b/model-training/ISOM5240_Project_Model_Training_ipynb(Group_37).ipynb"
new file mode 100644--- /dev/null
+++ "b/model-training/ISOM5240_Project_Model_Training_ipynb(Group_37).ipynb"
@@ -0,0 +1,11694 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 0,
+ "metadata": {
+ "colab": {
+ "provenance": [],
+ "gpuType": "L4",
+ "machine_shape": "hm"
+ },
+ "kernelspec": {
+ "name": "python3",
+ "display_name": "Python 3"
+ },
+ "language_info": {
+ "name": "python"
+ },
+ "widgets": {
+ "application/vnd.jupyter.widget-state+json": {
+ "1aa5311412bd477fb4b102fbe805e757": {
+ "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_f65fa288a4a34ec2b83151c7bb70a1f7",
+ "IPY_MODEL_24552c97e02c4a2482fb01edd6946fb0",
+ "IPY_MODEL_0d61c76984cf41edb32261a2db7cbf80"
+ ],
+ "layout": "IPY_MODEL_f4a6c46a1b7d4fcbbe1cdcc47f2d3b4d"
+ }
+ },
+ "f65fa288a4a34ec2b83151c7bb70a1f7": {
+ "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_0cdc23ddbace4b8e8760219a4d37a40e",
+ "placeholder": "",
+ "style": "IPY_MODEL_7e464c3f32144f9db94ae44e5aa0b618",
+ "value": "events.out.tfevents.1741789129.d900bc9a0b95.1542.4: 100%"
+ }
+ },
+ "24552c97e02c4a2482fb01edd6946fb0": {
+ "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_569f5007a7cc48de8009e9dc3079facd",
+ "max": 16664,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_b1e1ed1fc61442a1a429135efadf6fbc",
+ "value": 16664
+ }
+ },
+ "0d61c76984cf41edb32261a2db7cbf80": {
+ "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_6a71f7d21e69450b92597557a8478e96",
+ "placeholder": "",
+ "style": "IPY_MODEL_76ef015e7b4842149dec21913a8ea1f8",
+ "value": " 16.7k/16.7k [00:00<00:00, 52.2kB/s]"
+ }
+ },
+ "f4a6c46a1b7d4fcbbe1cdcc47f2d3b4d": {
+ "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
+ }
+ },
+ "0cdc23ddbace4b8e8760219a4d37a40e": {
+ "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
+ }
+ },
+ "7e464c3f32144f9db94ae44e5aa0b618": {
+ "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": ""
+ }
+ },
+ "569f5007a7cc48de8009e9dc3079facd": {
+ "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
+ }
+ },
+ "b1e1ed1fc61442a1a429135efadf6fbc": {
+ "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": ""
+ }
+ },
+ "6a71f7d21e69450b92597557a8478e96": {
+ "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
+ }
+ },
+ "76ef015e7b4842149dec21913a8ea1f8": {
+ "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": ""
+ }
+ },
+ "b32b671c4f2142f5ae18dfa40cdace48": {
+ "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_15ba12f6406e4a6881ccafae0c911850",
+ "IPY_MODEL_51304b502192445391fc581bee65f364",
+ "IPY_MODEL_daec0e0b6cf1413595a358b78f940e86"
+ ],
+ "layout": "IPY_MODEL_c1d9b5464b854915a32787913b65c311"
+ }
+ },
+ "15ba12f6406e4a6881ccafae0c911850": {
+ "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_780d0da548ea4c2f89974378477bc630",
+ "placeholder": "",
+ "style": "IPY_MODEL_fa6c142f7aed4d299b2004660a90af1e",
+ "value": "README.md: 100%"
+ }
+ },
+ "51304b502192445391fc581bee65f364": {
+ "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_1f6a64aa01864de487e2e3b35ba0d745",
+ "max": 1069,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_f6bdbca2c5f24b688e9aef3ded274c7c",
+ "value": 1069
+ }
+ },
+ "daec0e0b6cf1413595a358b78f940e86": {
+ "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_b46442b2c05b4742acaaa53ea1fe7788",
+ "placeholder": "",
+ "style": "IPY_MODEL_b7181a21b0cf4377857ed7d36f4b5c16",
+ "value": " 1.07k/1.07k [00:00<00:00, 134kB/s]"
+ }
+ },
+ "c1d9b5464b854915a32787913b65c311": {
+ "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
+ }
+ },
+ "780d0da548ea4c2f89974378477bc630": {
+ "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
+ }
+ },
+ "fa6c142f7aed4d299b2004660a90af1e": {
+ "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": ""
+ }
+ },
+ "1f6a64aa01864de487e2e3b35ba0d745": {
+ "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
+ }
+ },
+ "f6bdbca2c5f24b688e9aef3ded274c7c": {
+ "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": ""
+ }
+ },
+ "b46442b2c05b4742acaaa53ea1fe7788": {
+ "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
+ }
+ },
+ "b7181a21b0cf4377857ed7d36f4b5c16": {
+ "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": ""
+ }
+ },
+ "e30709a862f2424eb795817d10b92ee6": {
+ "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_f6dd02d585ab4953ae76a3e82db9378d",
+ "IPY_MODEL_11f33bbbfb114ce5b72d689ec7cbf0fe",
+ "IPY_MODEL_53fcc1c3a8db4a038c88c5107d9a2946"
+ ],
+ "layout": "IPY_MODEL_24c3fe07d6854f6097b4abe138991428"
+ }
+ },
+ "f6dd02d585ab4953ae76a3e82db9378d": {
+ "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_6bf9a4635b5b4f3b8da94ef65d3dddc3",
+ "placeholder": "",
+ "style": "IPY_MODEL_2767094eee4149848b2b933964c4f9e0",
+ "value": "README.md: 100%"
+ }
+ },
+ "11f33bbbfb114ce5b72d689ec7cbf0fe": {
+ "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_216e1c142bc1435395b9a4c6ae530408",
+ "max": 1080,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_7e614d40746b41ada1e1a900558a27d1",
+ "value": 1080
+ }
+ },
+ "53fcc1c3a8db4a038c88c5107d9a2946": {
+ "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_d8a1156e59144372a923728739e02080",
+ "placeholder": "",
+ "style": "IPY_MODEL_0003004573fe40ac9c01dbd66da0b66e",
+ "value": " 1.08k/1.08k [00:00<00:00, 139kB/s]"
+ }
+ },
+ "24c3fe07d6854f6097b4abe138991428": {
+ "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
+ }
+ },
+ "6bf9a4635b5b4f3b8da94ef65d3dddc3": {
+ "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
+ }
+ },
+ "2767094eee4149848b2b933964c4f9e0": {
+ "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": ""
+ }
+ },
+ "216e1c142bc1435395b9a4c6ae530408": {
+ "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
+ }
+ },
+ "7e614d40746b41ada1e1a900558a27d1": {
+ "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": ""
+ }
+ },
+ "d8a1156e59144372a923728739e02080": {
+ "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
+ }
+ },
+ "0003004573fe40ac9c01dbd66da0b66e": {
+ "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": ""
+ }
+ },
+ "23a286d8c082475b8bc0f40374ca9139": {
+ "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_c5a9a84749c346c7b552552e078d9bdb",
+ "IPY_MODEL_e124aac03c104a038444f9f5991eeaa6",
+ "IPY_MODEL_2d1dd191707e41abbd60704aeaa2baa2"
+ ],
+ "layout": "IPY_MODEL_61f9047a65dc44c58c3fdfa35f2c2f62"
+ }
+ },
+ "c5a9a84749c346c7b552552e078d9bdb": {
+ "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_f58496cfabd04567bde97fcdbc9f2611",
+ "placeholder": "",
+ "style": "IPY_MODEL_b3b01ca9c3d744be92b6ded1d86e6c34",
+ "value": "preprocessor_config.json: 100%"
+ }
+ },
+ "e124aac03c104a038444f9f5991eeaa6": {
+ "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_37be5e1eebb2474ba9403c1bc5554eba",
+ "max": 274,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_9ce15b7e1bf7408693ceabf93e81ebb3",
+ "value": 274
+ }
+ },
+ "2d1dd191707e41abbd60704aeaa2baa2": {
+ "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_4d819726ab034ca2a724280812ba836a",
+ "placeholder": "",
+ "style": "IPY_MODEL_f059dce03f2d46f3a9c2006ddee966d9",
+ "value": " 274/274 [00:00<00:00, 34.7kB/s]"
+ }
+ },
+ "61f9047a65dc44c58c3fdfa35f2c2f62": {
+ "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
+ }
+ },
+ "f58496cfabd04567bde97fcdbc9f2611": {
+ "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
+ }
+ },
+ "b3b01ca9c3d744be92b6ded1d86e6c34": {
+ "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": ""
+ }
+ },
+ "37be5e1eebb2474ba9403c1bc5554eba": {
+ "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
+ }
+ },
+ "9ce15b7e1bf7408693ceabf93e81ebb3": {
+ "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": ""
+ }
+ },
+ "4d819726ab034ca2a724280812ba836a": {
+ "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
+ }
+ },
+ "f059dce03f2d46f3a9c2006ddee966d9": {
+ "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": ""
+ }
+ },
+ "39f2499893274ce4bf7aa5d8dbfca675": {
+ "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_60c0d1d493a14c0eaf5b27295404e483",
+ "IPY_MODEL_018aff70ea0d44faafa84393066f2e81",
+ "IPY_MODEL_5b77b82ec17e4ca1b5e5c0f8e206443b"
+ ],
+ "layout": "IPY_MODEL_d5943a254c5146f5a088444ec9b7bba3"
+ }
+ },
+ "60c0d1d493a14c0eaf5b27295404e483": {
+ "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_47b2467a412d4b1785f577d746e37098",
+ "placeholder": "",
+ "style": "IPY_MODEL_dd6e66b4f8b244469bb9dacba0f16017",
+ "value": "config.json: 100%"
+ }
+ },
+ "018aff70ea0d44faafa84393066f2e81": {
+ "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_8231f6497c0a4afca8f9bc5c64c5f9cf",
+ "max": 4381,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_e91ed54437864cfcb7b3b7a01571762b",
+ "value": 4381
+ }
+ },
+ "5b77b82ec17e4ca1b5e5c0f8e206443b": {
+ "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_bbb4517205ba4804ab088032c9893dd0",
+ "placeholder": "",
+ "style": "IPY_MODEL_2ae49c0e8f374ef28801e225a0e1d6e0",
+ "value": " 4.38k/4.38k [00:00<00:00, 542kB/s]"
+ }
+ },
+ "d5943a254c5146f5a088444ec9b7bba3": {
+ "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
+ }
+ },
+ "47b2467a412d4b1785f577d746e37098": {
+ "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
+ }
+ },
+ "dd6e66b4f8b244469bb9dacba0f16017": {
+ "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": ""
+ }
+ },
+ "8231f6497c0a4afca8f9bc5c64c5f9cf": {
+ "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
+ }
+ },
+ "e91ed54437864cfcb7b3b7a01571762b": {
+ "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": ""
+ }
+ },
+ "bbb4517205ba4804ab088032c9893dd0": {
+ "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
+ }
+ },
+ "2ae49c0e8f374ef28801e225a0e1d6e0": {
+ "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": ""
+ }
+ },
+ "2f999d6760354d1da31ed6bc96703f30": {
+ "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_c37d5b37b84d40f0b1179c4ba6042aef",
+ "IPY_MODEL_8844298afccf4e9da4dafdd61a01995b",
+ "IPY_MODEL_f03633fffa7849faae33179df4641b59"
+ ],
+ "layout": "IPY_MODEL_e9f9c5c181894632a967d57f76d26ac4"
+ }
+ },
+ "c37d5b37b84d40f0b1179c4ba6042aef": {
+ "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_53c921de563d41299c9d12fac69e79b1",
+ "placeholder": "",
+ "style": "IPY_MODEL_db2629a82ceb4f8ca5f59d4fd5744e40",
+ "value": "model.safetensors: 100%"
+ }
+ },
+ "8844298afccf4e9da4dafdd61a01995b": {
+ "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_b10351c7bb5149af8d65f1f23e906b45",
+ "max": 242797616,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_c943c38251ba486097660f8a46880d7a",
+ "value": 242797616
+ }
+ },
+ "f03633fffa7849faae33179df4641b59": {
+ "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_3148fc35a5374334bc46721df8551169",
+ "placeholder": "",
+ "style": "IPY_MODEL_9241c29e31af4794bcd381217f9c9f64",
+ "value": " 243M/243M [00:10<00:00, 24.1MB/s]"
+ }
+ },
+ "e9f9c5c181894632a967d57f76d26ac4": {
+ "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
+ }
+ },
+ "53c921de563d41299c9d12fac69e79b1": {
+ "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
+ }
+ },
+ "db2629a82ceb4f8ca5f59d4fd5744e40": {
+ "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": ""
+ }
+ },
+ "b10351c7bb5149af8d65f1f23e906b45": {
+ "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
+ }
+ },
+ "c943c38251ba486097660f8a46880d7a": {
+ "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": ""
+ }
+ },
+ "3148fc35a5374334bc46721df8551169": {
+ "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
+ }
+ },
+ "9241c29e31af4794bcd381217f9c9f64": {
+ "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": ""
+ }
+ },
+ "ff6f332df3e84496a0e58985e8fce9b0": {
+ "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_bc9d04fdd14e4110b012ed42063e2943",
+ "IPY_MODEL_676d4d75671940e4904e2e42b2abe9ce",
+ "IPY_MODEL_24c74453cd7d448d937609eafd69ea33"
+ ],
+ "layout": "IPY_MODEL_96a4ec0e9b80416cbd1eeef8228050ec"
+ }
+ },
+ "bc9d04fdd14e4110b012ed42063e2943": {
+ "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_7bfec3ff696640bb80da3478e0d80092",
+ "placeholder": "",
+ "style": "IPY_MODEL_76128fed18174b8a8d966f714d7cbfbc",
+ "value": "model.safetensors: 100%"
+ }
+ },
+ "676d4d75671940e4904e2e42b2abe9ce": {
+ "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_7f39ecd41668469c96aba0e0a0abfde5",
+ "max": 178675806,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_205926ede581414f9edf386e0a3d15b5",
+ "value": 178675806
+ }
+ },
+ "24c74453cd7d448d937609eafd69ea33": {
+ "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_ea7b2fffb7104e25b9b06a25a70bce8c",
+ "placeholder": "",
+ "style": "IPY_MODEL_58c4625b49fd48ffadfd5b0999aa250b",
+ "value": " 179M/179M [00:00<00:00, 209MB/s]"
+ }
+ },
+ "96a4ec0e9b80416cbd1eeef8228050ec": {
+ "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
+ }
+ },
+ "7bfec3ff696640bb80da3478e0d80092": {
+ "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
+ }
+ },
+ "76128fed18174b8a8d966f714d7cbfbc": {
+ "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": ""
+ }
+ },
+ "7f39ecd41668469c96aba0e0a0abfde5": {
+ "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
+ }
+ },
+ "205926ede581414f9edf386e0a3d15b5": {
+ "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": ""
+ }
+ },
+ "ea7b2fffb7104e25b9b06a25a70bce8c": {
+ "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
+ }
+ },
+ "58c4625b49fd48ffadfd5b0999aa250b": {
+ "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": ""
+ }
+ },
+ "86f12da243714714978e5e260f8ee825": {
+ "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_4c793e4d4ddc4e7caeef4cdfa5efb97d",
+ "IPY_MODEL_f9eaf297464345fbad97f039faa1ba4f",
+ "IPY_MODEL_c4c8fc43e95048f598c42e35d5e24282"
+ ],
+ "layout": "IPY_MODEL_d84c193eefc2499582fcfdc2b366eb28"
+ }
+ },
+ "4c793e4d4ddc4e7caeef4cdfa5efb97d": {
+ "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_76f561f03f474e0c85f369468a2bde18",
+ "placeholder": "",
+ "style": "IPY_MODEL_d509007909934ff08733c3bd3c5165e2",
+ "value": "events.out.tfevents.1741787947.d900bc9a0b95.1542.1: 100%"
+ }
+ },
+ "f9eaf297464345fbad97f039faa1ba4f": {
+ "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_e69262fb1ea64ffb99d50c20e5374a1c",
+ "max": 14214,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_c133355e1f7a4946b569559ee1e49867",
+ "value": 14214
+ }
+ },
+ "c4c8fc43e95048f598c42e35d5e24282": {
+ "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_dc8c9021af4540d7ab4e94fb4c5d5697",
+ "placeholder": "",
+ "style": "IPY_MODEL_5f1afdb7a1864917a1b35d4e4085c0ea",
+ "value": " 14.2k/14.2k [00:00<00:00, 47.3kB/s]"
+ }
+ },
+ "d84c193eefc2499582fcfdc2b366eb28": {
+ "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
+ }
+ },
+ "76f561f03f474e0c85f369468a2bde18": {
+ "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
+ }
+ },
+ "d509007909934ff08733c3bd3c5165e2": {
+ "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": ""
+ }
+ },
+ "e69262fb1ea64ffb99d50c20e5374a1c": {
+ "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
+ }
+ },
+ "c133355e1f7a4946b569559ee1e49867": {
+ "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": ""
+ }
+ },
+ "dc8c9021af4540d7ab4e94fb4c5d5697": {
+ "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
+ }
+ },
+ "5f1afdb7a1864917a1b35d4e4085c0ea": {
+ "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": ""
+ }
+ },
+ "f729c745942e45ecb54108770ec5254e": {
+ "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_44f7487025884a989fbf43358657f8bc",
+ "IPY_MODEL_f418569be59b45efb85438c4e6ef2484",
+ "IPY_MODEL_81d042ad0fae461085c3cba7e5243255"
+ ],
+ "layout": "IPY_MODEL_d3a5a23ff37f4e24b8f04b813b13c56b"
+ }
+ },
+ "44f7487025884a989fbf43358657f8bc": {
+ "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_6db23bc90d9848b7b3376f8bbe32e552",
+ "placeholder": "",
+ "style": "IPY_MODEL_0a4b912d62fc420fbc85ed51e9012d27",
+ "value": "README.md: 100%"
+ }
+ },
+ "f418569be59b45efb85438c4e6ef2484": {
+ "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_98bba99dfa1e43d987eed0318b87b69f",
+ "max": 1902,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_9d93b7bb2f134199a118c54b1852ecb7",
+ "value": 1902
+ }
+ },
+ "81d042ad0fae461085c3cba7e5243255": {
+ "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_6feeb6f5c81f4c2f9002490546b1e41e",
+ "placeholder": "",
+ "style": "IPY_MODEL_de117f7724514577a1270fc2442c16a2",
+ "value": " 1.90k/1.90k [00:00<00:00, 238kB/s]"
+ }
+ },
+ "d3a5a23ff37f4e24b8f04b813b13c56b": {
+ "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
+ }
+ },
+ "6db23bc90d9848b7b3376f8bbe32e552": {
+ "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
+ }
+ },
+ "0a4b912d62fc420fbc85ed51e9012d27": {
+ "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": ""
+ }
+ },
+ "98bba99dfa1e43d987eed0318b87b69f": {
+ "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
+ }
+ },
+ "9d93b7bb2f134199a118c54b1852ecb7": {
+ "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": ""
+ }
+ },
+ "6feeb6f5c81f4c2f9002490546b1e41e": {
+ "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
+ }
+ },
+ "de117f7724514577a1270fc2442c16a2": {
+ "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": ""
+ }
+ },
+ "0b3abca0f9f24abfbb3741617c1f5e1d": {
+ "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_12eb5858d10f40d0b43579fe929b9567",
+ "IPY_MODEL_e4ae7c37be4947f19857455c33084d99",
+ "IPY_MODEL_0dd29bf1da9e4c29be981c9ca527d4ea"
+ ],
+ "layout": "IPY_MODEL_c37b236d625a45cda25302578139ddf8"
+ }
+ },
+ "12eb5858d10f40d0b43579fe929b9567": {
+ "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_346534294ff2442780b83304956a5f57",
+ "placeholder": "",
+ "style": "IPY_MODEL_66b5ce93df5a412b95df10edf881cdb6",
+ "value": "README.md: 100%"
+ }
+ },
+ "e4ae7c37be4947f19857455c33084d99": {
+ "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_37d1dbb6e77143fba1ece42cf4ead745",
+ "max": 1913,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_6f03d456e72f45b4a6483ce1249f2aa6",
+ "value": 1913
+ }
+ },
+ "0dd29bf1da9e4c29be981c9ca527d4ea": {
+ "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_ed645f26ee604b4fa8baba5c1db92e02",
+ "placeholder": "",
+ "style": "IPY_MODEL_6f0b6bd060a441b7bcea1693691e7025",
+ "value": " 1.91k/1.91k [00:00<00:00, 241kB/s]"
+ }
+ },
+ "c37b236d625a45cda25302578139ddf8": {
+ "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
+ }
+ },
+ "346534294ff2442780b83304956a5f57": {
+ "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
+ }
+ },
+ "66b5ce93df5a412b95df10edf881cdb6": {
+ "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": ""
+ }
+ },
+ "37d1dbb6e77143fba1ece42cf4ead745": {
+ "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
+ }
+ },
+ "6f03d456e72f45b4a6483ce1249f2aa6": {
+ "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": ""
+ }
+ },
+ "ed645f26ee604b4fa8baba5c1db92e02": {
+ "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
+ }
+ },
+ "6f0b6bd060a441b7bcea1693691e7025": {
+ "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": ""
+ }
+ },
+ "721482755735421c9553210f2ea74e5c": {
+ "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_a65f4b94688e4de09832ba208d8c5c3b",
+ "IPY_MODEL_7c37e79842cf4f9587cbc30e652a9606",
+ "IPY_MODEL_95ef4b46dbfc4f4ea78b2668cf640aa7"
+ ],
+ "layout": "IPY_MODEL_7258a51cbac14c6e9c78e3345855e985"
+ }
+ },
+ "a65f4b94688e4de09832ba208d8c5c3b": {
+ "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_4b6644d5f18f49b6a1514b2b352d34e9",
+ "placeholder": "",
+ "style": "IPY_MODEL_5be911b188294b6bad73bf50b818c8b2",
+ "value": "preprocessor_config.json: 100%"
+ }
+ },
+ "7c37e79842cf4f9587cbc30e652a9606": {
+ "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_b3205bb781bd49b28d196d2f8345700a",
+ "max": 274,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_5a7b172d8b934f4d96239169d8432d6e",
+ "value": 274
+ }
+ },
+ "95ef4b46dbfc4f4ea78b2668cf640aa7": {
+ "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_8f41cb68d568463ea1af6ca2abd56e4b",
+ "placeholder": "",
+ "style": "IPY_MODEL_96a1b5ee80664b8b96a5012ff0219a19",
+ "value": " 274/274 [00:00<00:00, 31.3kB/s]"
+ }
+ },
+ "7258a51cbac14c6e9c78e3345855e985": {
+ "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
+ }
+ },
+ "4b6644d5f18f49b6a1514b2b352d34e9": {
+ "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
+ }
+ },
+ "5be911b188294b6bad73bf50b818c8b2": {
+ "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": ""
+ }
+ },
+ "b3205bb781bd49b28d196d2f8345700a": {
+ "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
+ }
+ },
+ "5a7b172d8b934f4d96239169d8432d6e": {
+ "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": ""
+ }
+ },
+ "8f41cb68d568463ea1af6ca2abd56e4b": {
+ "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
+ }
+ },
+ "96a1b5ee80664b8b96a5012ff0219a19": {
+ "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": ""
+ }
+ },
+ "33a0fd08a90f4a47b4bb3cd92758c729": {
+ "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_38846078b09847a082ab8cdc1d945afd",
+ "IPY_MODEL_3df25ba81e3d4796808782d83f304fd7",
+ "IPY_MODEL_9f0b00f48d1841a283b5032c22bb91a7"
+ ],
+ "layout": "IPY_MODEL_3def802527484955947c4ef00dfdaedb"
+ }
+ },
+ "38846078b09847a082ab8cdc1d945afd": {
+ "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_3c485a431dd24319864529e8b576f423",
+ "placeholder": "",
+ "style": "IPY_MODEL_ca1d5ab209d442d48b4baadd56c468ff",
+ "value": "config.json: 100%"
+ }
+ },
+ "3df25ba81e3d4796808782d83f304fd7": {
+ "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_b4c564934a584ca5be47b757593ee218",
+ "max": 4592,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_ccdd37f8318c4380b9ece891ef5ae997",
+ "value": 4592
+ }
+ },
+ "9f0b00f48d1841a283b5032c22bb91a7": {
+ "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_f33e8b94e7af4502a179a9c9e7821527",
+ "placeholder": "",
+ "style": "IPY_MODEL_4abe50928f704eea8c6b964b5fca6e03",
+ "value": " 4.59k/4.59k [00:00<00:00, 548kB/s]"
+ }
+ },
+ "3def802527484955947c4ef00dfdaedb": {
+ "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
+ }
+ },
+ "3c485a431dd24319864529e8b576f423": {
+ "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
+ }
+ },
+ "ca1d5ab209d442d48b4baadd56c468ff": {
+ "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": ""
+ }
+ },
+ "b4c564934a584ca5be47b757593ee218": {
+ "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
+ }
+ },
+ "ccdd37f8318c4380b9ece891ef5ae997": {
+ "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": ""
+ }
+ },
+ "f33e8b94e7af4502a179a9c9e7821527": {
+ "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
+ }
+ },
+ "4abe50928f704eea8c6b964b5fca6e03": {
+ "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": ""
+ }
+ },
+ "3d2422149444488f806aadd269aba6e9": {
+ "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_04b46838f8cd4f19a45d94410a3320da",
+ "IPY_MODEL_333a01af3ebd45bb8f8b5c74bd5c2397",
+ "IPY_MODEL_891c968803744c5aabdc51a193f6d9ed"
+ ],
+ "layout": "IPY_MODEL_8acae91228c249d982b22205628b576b"
+ }
+ },
+ "04b46838f8cd4f19a45d94410a3320da": {
+ "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_c7d20fd035ff443bb028372e70a8bf41",
+ "placeholder": "",
+ "style": "IPY_MODEL_bb5ca4df881b43eabe20a2604414075f",
+ "value": "pytorch_model.bin: 100%"
+ }
+ },
+ "333a01af3ebd45bb8f8b5c74bd5c2397": {
+ "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_f71c941211dd4b9cb68b3f78f2411aa7",
+ "max": 166731871,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_0440e2b64ae54cb680a636f2afcf6a17",
+ "value": 166731871
+ }
+ },
+ "891c968803744c5aabdc51a193f6d9ed": {
+ "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_66702a84aedb4dc4a79dce7dbf8015b4",
+ "placeholder": "",
+ "style": "IPY_MODEL_f446763e45ba436f9cd4d8f6726226fa",
+ "value": " 167M/167M [00:07<00:00, 25.5MB/s]"
+ }
+ },
+ "8acae91228c249d982b22205628b576b": {
+ "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
+ }
+ },
+ "c7d20fd035ff443bb028372e70a8bf41": {
+ "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
+ }
+ },
+ "bb5ca4df881b43eabe20a2604414075f": {
+ "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": ""
+ }
+ },
+ "f71c941211dd4b9cb68b3f78f2411aa7": {
+ "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
+ }
+ },
+ "0440e2b64ae54cb680a636f2afcf6a17": {
+ "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": ""
+ }
+ },
+ "66702a84aedb4dc4a79dce7dbf8015b4": {
+ "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
+ }
+ },
+ "f446763e45ba436f9cd4d8f6726226fa": {
+ "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": ""
+ }
+ },
+ "e9a7266d816f41ad9cfecf98104c3c6e": {
+ "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_2354eed3b09f46a79d813a1b9f907c19",
+ "IPY_MODEL_4d06a626083e4dc8bea4c3d082382b2a",
+ "IPY_MODEL_ff538bad4cc94eddb4fb1d2ad3546ce5"
+ ],
+ "layout": "IPY_MODEL_e2dcb9810e1d4bcbbe46f6c43695ca6a"
+ }
+ },
+ "2354eed3b09f46a79d813a1b9f907c19": {
+ "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_f7a8f25c7a824e1e9226d132f8b04d16",
+ "placeholder": "",
+ "style": "IPY_MODEL_d7da85d478f54454ac6b461ade0e74a9",
+ "value": "model.safetensors: 100%"
+ }
+ },
+ "4d06a626083e4dc8bea4c3d082382b2a": {
+ "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_8a5fee34c8134abbb48a24a1f78a0c80",
+ "max": 102469840,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_3c7957f490794dd8b73c86606dd717a3",
+ "value": 102469840
+ }
+ },
+ "ff538bad4cc94eddb4fb1d2ad3546ce5": {
+ "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_34c49cfe30474ddf917e170b4506b5cd",
+ "placeholder": "",
+ "style": "IPY_MODEL_c9748333c5274002ad4ee5aeb046c314",
+ "value": " 102M/102M [00:00<00:00, 131MB/s]"
+ }
+ },
+ "e2dcb9810e1d4bcbbe46f6c43695ca6a": {
+ "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
+ }
+ },
+ "f7a8f25c7a824e1e9226d132f8b04d16": {
+ "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
+ }
+ },
+ "d7da85d478f54454ac6b461ade0e74a9": {
+ "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": ""
+ }
+ },
+ "8a5fee34c8134abbb48a24a1f78a0c80": {
+ "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
+ }
+ },
+ "3c7957f490794dd8b73c86606dd717a3": {
+ "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": ""
+ }
+ },
+ "34c49cfe30474ddf917e170b4506b5cd": {
+ "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
+ }
+ },
+ "c9748333c5274002ad4ee5aeb046c314": {
+ "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": ""
+ }
+ },
+ "5ef782db04824087ac810e8e7a70d3c6": {
+ "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_9eef91a93ca947be9a968fcf3423314b",
+ "IPY_MODEL_aa3820a340d34144ac3a26c9035b823c",
+ "IPY_MODEL_65330aed20ca4164a8497ab9953e94cf"
+ ],
+ "layout": "IPY_MODEL_de9d6ba5ecc441e3a37a886667f88825"
+ }
+ },
+ "9eef91a93ca947be9a968fcf3423314b": {
+ "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_0dc76ca4eb28486e8e09558604f45745",
+ "placeholder": "",
+ "style": "IPY_MODEL_e17420ac38a6464e9c4f0b2a5259a087",
+ "value": "model.safetensors: 100%"
+ }
+ },
+ "aa3820a340d34144ac3a26c9035b823c": {
+ "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_0e61eeaa64de4b30894c2b280851ba7c",
+ "max": 166587352,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_ed832b9c27324c01a29cd953ed3193a7",
+ "value": 166587352
+ }
+ },
+ "65330aed20ca4164a8497ab9953e94cf": {
+ "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_4bce3817f9014328bd016333a66eb324",
+ "placeholder": "",
+ "style": "IPY_MODEL_c55c0c7268a546269261d999e6feb6bc",
+ "value": " 167M/167M [00:13<00:00, 23.9MB/s]"
+ }
+ },
+ "de9d6ba5ecc441e3a37a886667f88825": {
+ "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
+ }
+ },
+ "0dc76ca4eb28486e8e09558604f45745": {
+ "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
+ }
+ },
+ "e17420ac38a6464e9c4f0b2a5259a087": {
+ "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": ""
+ }
+ },
+ "0e61eeaa64de4b30894c2b280851ba7c": {
+ "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
+ }
+ },
+ "ed832b9c27324c01a29cd953ed3193a7": {
+ "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": ""
+ }
+ },
+ "4bce3817f9014328bd016333a66eb324": {
+ "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
+ }
+ },
+ "c55c0c7268a546269261d999e6feb6bc": {
+ "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": ""
+ }
+ },
+ "4385233a65054b60b64023141ba905bf": {
+ "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_a959eae11806499db4be61aad01c0abb",
+ "IPY_MODEL_0f29ad2acd9d44a9966a279256229104",
+ "IPY_MODEL_1bab156af8ba4f9fa09b8ca141c7fda9"
+ ],
+ "layout": "IPY_MODEL_970d3ff739a84b62b6fccb9f0588bef6"
+ }
+ },
+ "a959eae11806499db4be61aad01c0abb": {
+ "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_e5666b1494c04fc9bdaf393d0de48459",
+ "placeholder": "",
+ "style": "IPY_MODEL_f8b1a6fc278e4f50884521ea114dca70",
+ "value": "events.out.tfevents.1741787856.d900bc9a0b95.1542.0: 100%"
+ }
+ },
+ "0f29ad2acd9d44a9966a279256229104": {
+ "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_1285ed4ad7e14f82830703a77ae61ae3",
+ "max": 16250,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_20644e8268e6490d9d41bd9b7c810a2d",
+ "value": 16250
+ }
+ },
+ "1bab156af8ba4f9fa09b8ca141c7fda9": {
+ "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_64c33a3a32f3415882b99d6b9e372528",
+ "placeholder": "",
+ "style": "IPY_MODEL_5eaf232d86324b6992484f14277b62d0",
+ "value": " 16.2k/16.2k [00:00<00:00, 48.1kB/s]"
+ }
+ },
+ "970d3ff739a84b62b6fccb9f0588bef6": {
+ "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
+ }
+ },
+ "e5666b1494c04fc9bdaf393d0de48459": {
+ "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
+ }
+ },
+ "f8b1a6fc278e4f50884521ea114dca70": {
+ "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": ""
+ }
+ },
+ "1285ed4ad7e14f82830703a77ae61ae3": {
+ "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
+ }
+ },
+ "20644e8268e6490d9d41bd9b7c810a2d": {
+ "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": ""
+ }
+ },
+ "64c33a3a32f3415882b99d6b9e372528": {
+ "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
+ }
+ },
+ "5eaf232d86324b6992484f14277b62d0": {
+ "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": ""
+ }
+ },
+ "11c2a5cbc2a843c8ace804a4a0462b5a": {
+ "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_f22029f4b18240be96ba24bcc0a79c12",
+ "IPY_MODEL_6727ffb8310444b38778dfe94dd63a10",
+ "IPY_MODEL_42a410a07fe5419db008a24c998ff5d4"
+ ],
+ "layout": "IPY_MODEL_c8d9cfe4f19d4baea2d93de48ed1ed38"
+ }
+ },
+ "f22029f4b18240be96ba24bcc0a79c12": {
+ "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_3cb1859881774930a7ab43212c0b71c6",
+ "placeholder": "",
+ "style": "IPY_MODEL_28f2a60584e641f69bd3dfb358d19186",
+ "value": "Upload 6 LFS files: 100%"
+ }
+ },
+ "6727ffb8310444b38778dfe94dd63a10": {
+ "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_b1ed927d090b4086951e973b592fa76f",
+ "max": 6,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_7f7e6933fd944563b1aebccf5aed70d8",
+ "value": 6
+ }
+ },
+ "42a410a07fe5419db008a24c998ff5d4": {
+ "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_4d2f6e50f10c4429a671e4b72f1e1990",
+ "placeholder": "",
+ "style": "IPY_MODEL_92cdfefdf5414f6e8643cb999bf13285",
+ "value": " 6/6 [00:13<00:00, 13.71s/it]"
+ }
+ },
+ "c8d9cfe4f19d4baea2d93de48ed1ed38": {
+ "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
+ }
+ },
+ "3cb1859881774930a7ab43212c0b71c6": {
+ "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
+ }
+ },
+ "28f2a60584e641f69bd3dfb358d19186": {
+ "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": ""
+ }
+ },
+ "b1ed927d090b4086951e973b592fa76f": {
+ "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
+ }
+ },
+ "7f7e6933fd944563b1aebccf5aed70d8": {
+ "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": ""
+ }
+ },
+ "4d2f6e50f10c4429a671e4b72f1e1990": {
+ "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
+ }
+ },
+ "92cdfefdf5414f6e8643cb999bf13285": {
+ "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": ""
+ }
+ },
+ "87d7f7586632473c9bf200e5de020670": {
+ "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_8606af714ce54c5caf979cc26efdcff4",
+ "IPY_MODEL_77afb28f1d33424c8a846495731eb713",
+ "IPY_MODEL_43920a72ae154f9fb341e12b9b76f8e1"
+ ],
+ "layout": "IPY_MODEL_966d84b22b784918acdb23af4e73bdb7"
+ }
+ },
+ "8606af714ce54c5caf979cc26efdcff4": {
+ "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_930b6658ae9448be95e86ef0d4492a9c",
+ "placeholder": "",
+ "style": "IPY_MODEL_1c3f2fe04c5f4b43a367e76e5f9ae3af",
+ "value": "events.out.tfevents.1741788068.d900bc9a0b95.1542.2: 100%"
+ }
+ },
+ "77afb28f1d33424c8a846495731eb713": {
+ "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_ecf08854995844b08379b6247bc44a6b",
+ "max": 14390,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_6bea0b51fcc04a029c5a134251e69cfb",
+ "value": 14390
+ }
+ },
+ "43920a72ae154f9fb341e12b9b76f8e1": {
+ "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_16adfa19c240443cb39edb277e0735e1",
+ "placeholder": "",
+ "style": "IPY_MODEL_b285ba1d9780451b82cc3c6d53ded5b6",
+ "value": " 14.4k/14.4k [00:00<00:00, 47.1kB/s]"
+ }
+ },
+ "966d84b22b784918acdb23af4e73bdb7": {
+ "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
+ }
+ },
+ "930b6658ae9448be95e86ef0d4492a9c": {
+ "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
+ }
+ },
+ "1c3f2fe04c5f4b43a367e76e5f9ae3af": {
+ "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": ""
+ }
+ },
+ "ecf08854995844b08379b6247bc44a6b": {
+ "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
+ }
+ },
+ "6bea0b51fcc04a029c5a134251e69cfb": {
+ "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": ""
+ }
+ },
+ "16adfa19c240443cb39edb277e0735e1": {
+ "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
+ }
+ },
+ "b285ba1d9780451b82cc3c6d53ded5b6": {
+ "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": ""
+ }
+ },
+ "b87cd479e76c454dba4c7d670d868d7d": {
+ "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_dfb71a38e6b0494a9b56da43085a4052",
+ "IPY_MODEL_6a8c3d34e93f419f8b8b6f5eb1a8aaa2",
+ "IPY_MODEL_d5346374370f42e9a8f2c7a51d695604"
+ ],
+ "layout": "IPY_MODEL_77ee2def5bf44dbfa818c8d2c03f6999"
+ }
+ },
+ "dfb71a38e6b0494a9b56da43085a4052": {
+ "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_98c0c41fb65a400896e4ab6a15eeab6a",
+ "placeholder": "",
+ "style": "IPY_MODEL_ceb4abd9e61a4ceb905437efd7a1f0e6",
+ "value": "training_args.bin: 100%"
+ }
+ },
+ "6a8c3d34e93f419f8b8b6f5eb1a8aaa2": {
+ "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_e91d483dade34e60a32b59f524da7b6f",
+ "max": 5368,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_6853c308075741f58e715153df465456",
+ "value": 5368
+ }
+ },
+ "d5346374370f42e9a8f2c7a51d695604": {
+ "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_5e43aaa3a7fb452eb8a33303b652716a",
+ "placeholder": "",
+ "style": "IPY_MODEL_a32762d3176741b8a1c1fea55b26dabe",
+ "value": " 5.37k/5.37k [00:00<00:00, 16.2kB/s]"
+ }
+ },
+ "77ee2def5bf44dbfa818c8d2c03f6999": {
+ "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
+ }
+ },
+ "98c0c41fb65a400896e4ab6a15eeab6a": {
+ "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
+ }
+ },
+ "ceb4abd9e61a4ceb905437efd7a1f0e6": {
+ "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": ""
+ }
+ },
+ "e91d483dade34e60a32b59f524da7b6f": {
+ "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
+ }
+ },
+ "6853c308075741f58e715153df465456": {
+ "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": ""
+ }
+ },
+ "5e43aaa3a7fb452eb8a33303b652716a": {
+ "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
+ }
+ },
+ "a32762d3176741b8a1c1fea55b26dabe": {
+ "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": ""
+ }
+ },
+ "7a7c7e3dcddc4f32947c3c5d65466851": {
+ "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_f9a45ce825a749afa04481d93d9346b5",
+ "IPY_MODEL_80e781335f26440788d4a5f257d5e068",
+ "IPY_MODEL_f0ef0bef54554731bbf772606b4f7eb0"
+ ],
+ "layout": "IPY_MODEL_d471cea51eae497aaa02945964eda38f"
+ }
+ },
+ "f9a45ce825a749afa04481d93d9346b5": {
+ "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_65872d17f03644e99210da6af2d9275c",
+ "placeholder": "",
+ "style": "IPY_MODEL_bf21d87ca55d40618cd4fed319cb38d7",
+ "value": "model.safetensors: 100%"
+ }
+ },
+ "80e781335f26440788d4a5f257d5e068": {
+ "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_b7075e6de50d48e097f3648d0a14ee12",
+ "max": 166587352,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_ab291170d3d3434b91005561a85a9865",
+ "value": 166587352
+ }
+ },
+ "f0ef0bef54554731bbf772606b4f7eb0": {
+ "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_41ea6c61c023466597614b891b4c1f82",
+ "placeholder": "",
+ "style": "IPY_MODEL_e0c8211531d14b73bb80d27db98ef5e1",
+ "value": " 167M/167M [00:06<00:00, 25.4MB/s]"
+ }
+ },
+ "d471cea51eae497aaa02945964eda38f": {
+ "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
+ }
+ },
+ "65872d17f03644e99210da6af2d9275c": {
+ "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
+ }
+ },
+ "bf21d87ca55d40618cd4fed319cb38d7": {
+ "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": ""
+ }
+ },
+ "b7075e6de50d48e097f3648d0a14ee12": {
+ "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
+ }
+ },
+ "ab291170d3d3434b91005561a85a9865": {
+ "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": ""
+ }
+ },
+ "41ea6c61c023466597614b891b4c1f82": {
+ "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
+ }
+ },
+ "e0c8211531d14b73bb80d27db98ef5e1": {
+ "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": ""
+ }
+ },
+ "780d00b3b45447ef82c5f952fc1ee9f1": {
+ "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_b8071ae3a4e34fcc92bc0943ff9282ae",
+ "IPY_MODEL_2bae5335b8dd4f8f959238d8bf109996",
+ "IPY_MODEL_0febdfb158ac4d1c9e19e59781142f22"
+ ],
+ "layout": "IPY_MODEL_d488f67d6d4840e9937c3f3fa6006aed"
+ }
+ },
+ "b8071ae3a4e34fcc92bc0943ff9282ae": {
+ "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_95424565046b4066b81cb2f98bc7bae3",
+ "placeholder": "",
+ "style": "IPY_MODEL_44d347b2b1c045d2936c693349604ac1",
+ "value": "training_args.bin: 100%"
+ }
+ },
+ "2bae5335b8dd4f8f959238d8bf109996": {
+ "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_6360b10929ba46f2a9f20c3f320c424b",
+ "max": 5368,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_879f3e9f46f24fbcb4fc804420c7a7c4",
+ "value": 5368
+ }
+ },
+ "0febdfb158ac4d1c9e19e59781142f22": {
+ "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_37cda2b98e7d480f98399efd6ced5c01",
+ "placeholder": "",
+ "style": "IPY_MODEL_002ad0d3c3aa4c52a0f782ee5ccc7d61",
+ "value": " 5.37k/5.37k [00:00<00:00, 19.5kB/s]"
+ }
+ },
+ "d488f67d6d4840e9937c3f3fa6006aed": {
+ "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
+ }
+ },
+ "95424565046b4066b81cb2f98bc7bae3": {
+ "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
+ }
+ },
+ "44d347b2b1c045d2936c693349604ac1": {
+ "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": ""
+ }
+ },
+ "6360b10929ba46f2a9f20c3f320c424b": {
+ "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
+ }
+ },
+ "879f3e9f46f24fbcb4fc804420c7a7c4": {
+ "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": ""
+ }
+ },
+ "37cda2b98e7d480f98399efd6ced5c01": {
+ "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
+ }
+ },
+ "002ad0d3c3aa4c52a0f782ee5ccc7d61": {
+ "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": ""
+ }
+ },
+ "16e990b67ad34aadb5ff145e096c92d1": {
+ "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_54ade80f3b7a4927aaa61e5392195871",
+ "IPY_MODEL_c117d50c9ecc4d458f99f046d32e4d35",
+ "IPY_MODEL_819481ca8c1a40e9818ef47ab31689cf"
+ ],
+ "layout": "IPY_MODEL_16c6b33fc2d9455cb76b1f29f271cad0"
+ }
+ },
+ "54ade80f3b7a4927aaa61e5392195871": {
+ "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_51348c901bbf4e3a804bffccb8573c30",
+ "placeholder": "",
+ "style": "IPY_MODEL_505258699c2c4e61b50060ba47580309",
+ "value": "README.md: 100%"
+ }
+ },
+ "c117d50c9ecc4d458f99f046d32e4d35": {
+ "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_bbf7d8cda63c4be28c317291cf722a77",
+ "max": 1919,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_638a0c7ce51d4eebaab5d8b225c56fd2",
+ "value": 1919
+ }
+ },
+ "819481ca8c1a40e9818ef47ab31689cf": {
+ "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_39b2c3098ff04d2dbfb9796337e84223",
+ "placeholder": "",
+ "style": "IPY_MODEL_c4f8d4fa703d4d9eb86e7a84679f81c6",
+ "value": " 1.92k/1.92k [00:00<00:00, 234kB/s]"
+ }
+ },
+ "16c6b33fc2d9455cb76b1f29f271cad0": {
+ "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
+ }
+ },
+ "51348c901bbf4e3a804bffccb8573c30": {
+ "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
+ }
+ },
+ "505258699c2c4e61b50060ba47580309": {
+ "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": ""
+ }
+ },
+ "bbf7d8cda63c4be28c317291cf722a77": {
+ "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
+ }
+ },
+ "638a0c7ce51d4eebaab5d8b225c56fd2": {
+ "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": ""
+ }
+ },
+ "39b2c3098ff04d2dbfb9796337e84223": {
+ "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
+ }
+ },
+ "c4f8d4fa703d4d9eb86e7a84679f81c6": {
+ "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": ""
+ }
+ },
+ "bbf94cd435c244e1a0491307815ec9b1": {
+ "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_6fdf23cb30bf4af39d93454b0a330f38",
+ "IPY_MODEL_fc80b8d66a784a7884342f249b276639",
+ "IPY_MODEL_83bb0196e73f41ddb62e695183e781e0"
+ ],
+ "layout": "IPY_MODEL_be1bc301a57c4f0ebe9b57e16e85da6a"
+ }
+ },
+ "6fdf23cb30bf4af39d93454b0a330f38": {
+ "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_25d89959843e4c3bad2abbab7d03fb6e",
+ "placeholder": "",
+ "style": "IPY_MODEL_bfe075894b264dfc8a7ff0a623b36ab3",
+ "value": "README.md: 100%"
+ }
+ },
+ "fc80b8d66a784a7884342f249b276639": {
+ "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_18c6c6bfd5ec4e8ebc29132a66ddb670",
+ "max": 1930,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_345ff46eeb974d0aa2a119d6f2649d48",
+ "value": 1930
+ }
+ },
+ "83bb0196e73f41ddb62e695183e781e0": {
+ "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_0877b73b7c0d48fcbc53fce41e3766d9",
+ "placeholder": "",
+ "style": "IPY_MODEL_351808ca376643a49e1ab37da3f201e5",
+ "value": " 1.93k/1.93k [00:00<00:00, 252kB/s]"
+ }
+ },
+ "be1bc301a57c4f0ebe9b57e16e85da6a": {
+ "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
+ }
+ },
+ "25d89959843e4c3bad2abbab7d03fb6e": {
+ "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
+ }
+ },
+ "bfe075894b264dfc8a7ff0a623b36ab3": {
+ "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": ""
+ }
+ },
+ "18c6c6bfd5ec4e8ebc29132a66ddb670": {
+ "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
+ }
+ },
+ "345ff46eeb974d0aa2a119d6f2649d48": {
+ "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": ""
+ }
+ },
+ "0877b73b7c0d48fcbc53fce41e3766d9": {
+ "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
+ }
+ },
+ "351808ca376643a49e1ab37da3f201e5": {
+ "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": ""
+ }
+ },
+ "6107d4f0715642288c3c03c50beee316": {
+ "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_ec422904a43848aab05e311fca10025a",
+ "IPY_MODEL_81e7a294daab4f72a46f1f4af6536be0",
+ "IPY_MODEL_5b6bcbc4060341c4827974c8978396b0"
+ ],
+ "layout": "IPY_MODEL_e0fb0a3d56974b0983b49d36f2b10de7"
+ }
+ },
+ "ec422904a43848aab05e311fca10025a": {
+ "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_7bf77aad7b024822986fe47a9af9b130",
+ "placeholder": "",
+ "style": "IPY_MODEL_14a900c5c32b44d9b516a13f14e9f2e8",
+ "value": "model.safetensors: 100%"
+ }
+ },
+ "81e7a294daab4f72a46f1f4af6536be0": {
+ "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_07def4a5ffe542b696a5b95ef558c0ba",
+ "max": 166596256,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_39393da4ba03492082dc17ccf3bcfe5b",
+ "value": 166596256
+ }
+ },
+ "5b6bcbc4060341c4827974c8978396b0": {
+ "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_29fe2211e4804dc1b1c91918e7f4604e",
+ "placeholder": "",
+ "style": "IPY_MODEL_1ef5c4c6718c4c71ba227e1d5276e71c",
+ "value": " 167M/167M [00:08<00:00, 23.2MB/s]"
+ }
+ },
+ "e0fb0a3d56974b0983b49d36f2b10de7": {
+ "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
+ }
+ },
+ "7bf77aad7b024822986fe47a9af9b130": {
+ "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
+ }
+ },
+ "14a900c5c32b44d9b516a13f14e9f2e8": {
+ "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": ""
+ }
+ },
+ "07def4a5ffe542b696a5b95ef558c0ba": {
+ "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
+ }
+ },
+ "39393da4ba03492082dc17ccf3bcfe5b": {
+ "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": ""
+ }
+ },
+ "29fe2211e4804dc1b1c91918e7f4604e": {
+ "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
+ }
+ },
+ "1ef5c4c6718c4c71ba227e1d5276e71c": {
+ "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": ""
+ }
+ },
+ "4fe2f7011a3746f18c51a2b71a8f59f8": {
+ "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_97af1b40b72d495b9e8e79a36f096f2e",
+ "IPY_MODEL_52f8d17076d74eb3b2b1fd8b0dcba7da",
+ "IPY_MODEL_c79895034172473a99e4b6b04df132f7"
+ ],
+ "layout": "IPY_MODEL_dcb31353518d428096bff4d1c07df751"
+ }
+ },
+ "97af1b40b72d495b9e8e79a36f096f2e": {
+ "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_3152f42062c948448ccc92bccbf61c59",
+ "placeholder": "",
+ "style": "IPY_MODEL_9979a6b1bb36437697034544488375fb",
+ "value": "Evaluating images: 100%"
+ }
+ },
+ "52f8d17076d74eb3b2b1fd8b0dcba7da": {
+ "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_9f6a75afac59405195145e53292746b7",
+ "max": 7,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_ac9f0d7d79bf464a98b9e750f55b4604",
+ "value": 7
+ }
+ },
+ "c79895034172473a99e4b6b04df132f7": {
+ "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_831a9e4268794c909b69ec400be88582",
+ "placeholder": "",
+ "style": "IPY_MODEL_dc92893b6f004001bbd297ce94232338",
+ "value": " 7/7 [00:02<00:00, 2.92it/s]"
+ }
+ },
+ "dcb31353518d428096bff4d1c07df751": {
+ "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
+ }
+ },
+ "3152f42062c948448ccc92bccbf61c59": {
+ "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
+ }
+ },
+ "9979a6b1bb36437697034544488375fb": {
+ "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": ""
+ }
+ },
+ "9f6a75afac59405195145e53292746b7": {
+ "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
+ }
+ },
+ "ac9f0d7d79bf464a98b9e750f55b4604": {
+ "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": ""
+ }
+ },
+ "831a9e4268794c909b69ec400be88582": {
+ "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
+ }
+ },
+ "dc92893b6f004001bbd297ce94232338": {
+ "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": ""
+ }
+ },
+ "69d37fdd9fbe49818cf0c032b5b27fd1": {
+ "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_5ce96376e4504a17bad94799e1810a4d",
+ "IPY_MODEL_344dc01e7fb249bc83530f3c60df96c4",
+ "IPY_MODEL_f8dbcb6bf44c4378aa5193ab34193175"
+ ],
+ "layout": "IPY_MODEL_fb07e3225be14a5e8e4b8d1c5c0fffdb"
+ }
+ },
+ "5ce96376e4504a17bad94799e1810a4d": {
+ "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_e266318ff4514a2b87dbb1f04afaff0c",
+ "placeholder": "",
+ "style": "IPY_MODEL_b83156ed5fa04acabe5639723ebbe500",
+ "value": "Evaluating images: 100%"
+ }
+ },
+ "344dc01e7fb249bc83530f3c60df96c4": {
+ "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_4a5f036414c44e8390a4b224437986ae",
+ "max": 7,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_d328e1683a034f5ca9efec7c99d5096d",
+ "value": 7
+ }
+ },
+ "f8dbcb6bf44c4378aa5193ab34193175": {
+ "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_214910d8bccc485da5ec17af4d71aa35",
+ "placeholder": "",
+ "style": "IPY_MODEL_f563a3ca10444a07a829075e3b9626b3",
+ "value": " 7/7 [00:02<00:00, 2.37it/s]"
+ }
+ },
+ "fb07e3225be14a5e8e4b8d1c5c0fffdb": {
+ "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
+ }
+ },
+ "e266318ff4514a2b87dbb1f04afaff0c": {
+ "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
+ }
+ },
+ "b83156ed5fa04acabe5639723ebbe500": {
+ "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": ""
+ }
+ },
+ "4a5f036414c44e8390a4b224437986ae": {
+ "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
+ }
+ },
+ "d328e1683a034f5ca9efec7c99d5096d": {
+ "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": ""
+ }
+ },
+ "214910d8bccc485da5ec17af4d71aa35": {
+ "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
+ }
+ },
+ "f563a3ca10444a07a829075e3b9626b3": {
+ "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": ""
+ }
+ },
+ "3a79807a1fa14b5a9de05690d285622c": {
+ "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_398acb10698a4e0fadf3017682ef796b",
+ "IPY_MODEL_bf89d3fe1ba943a3bbb5166e49c1e807",
+ "IPY_MODEL_b7822d966d4c45a5af8dd3b90c140d49"
+ ],
+ "layout": "IPY_MODEL_15dff91017dc4a0a89792fd93bf2a3d7"
+ }
+ },
+ "398acb10698a4e0fadf3017682ef796b": {
+ "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_be4e498aff22499eb8513aa54b41ae04",
+ "placeholder": "",
+ "style": "IPY_MODEL_9e4e2e6fc6a54b3692cfd9d06c882d05",
+ "value": "Evaluating images: 100%"
+ }
+ },
+ "bf89d3fe1ba943a3bbb5166e49c1e807": {
+ "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_6bd35418c3c542b4bc459216bf02ab24",
+ "max": 7,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_d540772be39a45f99332cfc0d0dcb8b2",
+ "value": 7
+ }
+ },
+ "b7822d966d4c45a5af8dd3b90c140d49": {
+ "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_612d81e1a1f8470ca8cd4590154d6537",
+ "placeholder": "",
+ "style": "IPY_MODEL_8b8a367b70ac45abb3e142f7b60c81fe",
+ "value": " 7/7 [00:02<00:00, 3.05it/s]"
+ }
+ },
+ "15dff91017dc4a0a89792fd93bf2a3d7": {
+ "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
+ }
+ },
+ "be4e498aff22499eb8513aa54b41ae04": {
+ "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
+ }
+ },
+ "9e4e2e6fc6a54b3692cfd9d06c882d05": {
+ "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": ""
+ }
+ },
+ "6bd35418c3c542b4bc459216bf02ab24": {
+ "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
+ }
+ },
+ "d540772be39a45f99332cfc0d0dcb8b2": {
+ "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": ""
+ }
+ },
+ "612d81e1a1f8470ca8cd4590154d6537": {
+ "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
+ }
+ },
+ "8b8a367b70ac45abb3e142f7b60c81fe": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "DescriptionStyleModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "DescriptionStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
+ "_view_name": "StyleView",
+ "description_width": ""
+ }
+ }
+ }
+ },
+ "accelerator": "GPU"
+ },
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "source": [
+ "
ISOM5240 - Deep learning for facebook/DERT Model from Department of Transport 's statistics\n",
+ "\n",
+ "**Training and Evaluation**\n",
+ "
\n",
+ "\n",
+ "by Gordon Li (20317033)"
+ ],
+ "metadata": {
+ "id": "KZY-fT334cBr"
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "**Pre install Python library**"
+ ],
+ "metadata": {
+ "id": "780DlQtS4zVN"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# install required library\n",
+ "!pip install torch torchvision\n",
+ "!pip install transformers datasets\n",
+ "!pip install huggingface_hub\n",
+ "!pip install Pillow\n",
+ "!pip install numpy requests tqdm\n",
+ "!pip install accelerate\n",
+ "!pip install tensorboard"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "-OOjUxKE4Ue3",
+ "outputId": "3f4c0720-2013-42a0-ec21-689c0a30f1dd",
+ "jupyter": {
+ "is_executing": true
+ }
+ },
+ "outputs": [],
+ "execution_count": null
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "**Script Context for Detr Image Processing Model**"
+ ],
+ "metadata": {
+ "id": "eFfsjuWi41w0"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import os\n",
+ "import json\n",
+ "import torch\n",
+ "from PIL import Image\n",
+ "import io\n",
+ "from torch.utils.data import Dataset, DataLoader\n",
+ "from transformers import DetrImageProcessor, DetrForObjectDetection, TrainingArguments, Trainer\n",
+ "from transformers.trainer_callback import TrainerCallback\n",
+ "from datasets import load_dataset\n",
+ "from huggingface_hub import login, HfApi\n",
+ "import time\n",
+ "import datetime\n",
+ "import shutil\n",
+ "import logging\n",
+ "\n",
+ "def train_detr_model(model_name, push_to_hub_name,\n",
+ " dataset_name=\"slliac/isom5240-td-traffic-analysis\",\n",
+ " num_epochs=5,\n",
+ " learning_rate=5e-5,\n",
+ " batch_size=2,\n",
+ " hf_token=None):\n",
+ "\n",
+ " class TrainingProgressCallback(TrainerCallback):\n",
+ " def __init__(self, print_interval=10):\n",
+ " self.print_interval = print_interval\n",
+ " self.step = 0\n",
+ " self.start_time = time.time()\n",
+ " self.losses = []\n",
+ "\n",
+ " def on_step_end(self, args, state, control, logs=None, **kwargs):\n",
+ " self.step += 1\n",
+ " if logs is not None and \"loss\" in logs:\n",
+ " self.losses.append(logs[\"loss\"])\n",
+ "\n",
+ " if self.step % self.print_interval == 0:\n",
+ " elapsed = time.time() - self.start_time\n",
+ " elapsed_str = str(datetime.timedelta(seconds=int(elapsed)))\n",
+ "\n",
+ " if logs is not None and \"loss\" in logs:\n",
+ " loss = logs[\"loss\"]\n",
+ " print(f\"Step: {self.step}/{state.max_steps} | \"\n",
+ " f\"Loss: {loss:.4f} | \"\n",
+ " f\"Elapsed: {elapsed_str}\")\n",
+ " else:\n",
+ " print(f\"Step: {self.step}/{state.max_steps} | \"\n",
+ " f\"Elapsed: {elapsed_str}\")\n",
+ "\n",
+ " logging.basicConfig(level=logging.INFO)\n",
+ " logger = logging.getLogger(__name__)\n",
+ "\n",
+ " if hf_token:\n",
+ " login(hf_token)\n",
+ " logger.info(\"Logged in to Hugging Face Hub\")\n",
+ " else:\n",
+ " logger.warning(\"No Hugging Face token provided. Will not be able to push to Hub unless already logged in.\")\n",
+ "\n",
+ " device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
+ " logger.info(f\"Using device: {device}\")\n",
+ "\n",
+ " model_short_name = model_name.split(\"/\")[-1]\n",
+ " output_dir = f\"./{model_short_name}-finetuned\"\n",
+ "\n",
+ " os.makedirs(output_dir, exist_ok=True)\n",
+ "\n",
+ " VEHICLE_CLASSES = {2, 3, 4, 5, 6, 7, 8}\n",
+ " CATEGORY_NAMES = {\n",
+ " 2: \"bicycle\",\n",
+ " 3: \"car\",\n",
+ " 4: \"motorcycle\",\n",
+ " 5: \"airplane\",\n",
+ " 6: \"bus\",\n",
+ " 7: \"train\",\n",
+ " 8: \"truck\"\n",
+ " }\n",
+ "\n",
+ " PRINT_INTERVAL = 5\n",
+ " logger.info(f\"Loading dataset: {dataset_name}\")\n",
+ " dataset = load_dataset(dataset_name)\n",
+ " logger.info(f\"Dataset loaded with {len(dataset['fbDetr50Train'])} train and {len(dataset['fbDetr50Test'])} test examples\")\n",
+ " logger.info(f\"Initializing processor for {model_name}\")\n",
+ " processor = DetrImageProcessor.from_pretrained(model_name)\n",
+ "\n",
+ " class TrafficDetectionDataset(Dataset):\n",
+ " def __init__(self, dataset_split, processor):\n",
+ " self.dataset = dataset_split\n",
+ " self.processor = processor\n",
+ "\n",
+ " def __len__(self):\n",
+ " return len(self.dataset)\n",
+ "\n",
+ " def __getitem__(self, idx):\n",
+ " item = self.dataset[idx]\n",
+ " image = Image.open(io.BytesIO(item['original_image'])).convert(\"RGB\")\n",
+ " coco_annotations = json.loads(item['coco_annotations'])\n",
+ " image_id = coco_annotations['image_id']\n",
+ " annotations = coco_annotations['annotations']\n",
+ "\n",
+ " boxes = []\n",
+ " class_labels = []\n",
+ " areas = []\n",
+ " iscrowd = []\n",
+ "\n",
+ " width, height = image.size\n",
+ "\n",
+ " for ann in annotations:\n",
+ " x, y, width_box, height_box = ann['bbox']\n",
+ " center_x = (x + width_box / 2) / width\n",
+ " center_y = (y + height_box / 2) / height\n",
+ " norm_width = width_box / width\n",
+ " norm_height = height_box / height\n",
+ " boxes.append([center_x, center_y, norm_width, norm_height])\n",
+ " class_labels.append(ann['category_id'])\n",
+ " areas.append(ann['area'])\n",
+ " iscrowd.append(ann['iscrowd'])\n",
+ "\n",
+ " boxes = torch.tensor(boxes, dtype=torch.float32) if boxes else torch.zeros((0, 4))\n",
+ " class_labels = torch.tensor(class_labels, dtype=torch.int64) if class_labels else torch.zeros((0,), dtype=torch.int64)\n",
+ "\n",
+ " encoding = self.processor(images=image, return_tensors=\"pt\")\n",
+ " pixel_values = encoding['pixel_values'].squeeze()\n",
+ " pixel_mask = encoding['pixel_mask'].squeeze() if 'pixel_mask' in encoding else None\n",
+ "\n",
+ " target = {}\n",
+ " target[\"boxes\"] = boxes\n",
+ " target[\"class_labels\"] = class_labels\n",
+ " target[\"image_id\"] = torch.tensor([image_id])\n",
+ " target[\"area\"] = torch.tensor(areas) if areas else torch.zeros((0,))\n",
+ " target[\"iscrowd\"] = torch.tensor(iscrowd) if iscrowd else torch.zeros((0,), dtype=torch.int64)\n",
+ "\n",
+ " return {\n",
+ " 'pixel_values': pixel_values,\n",
+ " 'pixel_mask': pixel_mask if pixel_mask is not None else torch.ones(pixel_values.shape[1:], dtype=torch.bool),\n",
+ " 'labels': [target],\n",
+ " }\n",
+ "\n",
+ " train_dataset = TrafficDetectionDataset(dataset['fbDetr50Train'], processor)\n",
+ "\n",
+ " def collate_fn(batch):\n",
+ " pixel_values = torch.stack([item['pixel_values'] for item in batch])\n",
+ " pixel_mask = torch.stack([item['pixel_mask'] for item in batch])\n",
+ " labels = [item['labels'][0] for item in batch]\n",
+ "\n",
+ " batch_dict = {\n",
+ " 'pixel_values': pixel_values,\n",
+ " 'pixel_mask': pixel_mask,\n",
+ " 'labels': labels,\n",
+ " }\n",
+ "\n",
+ " return batch_dict\n",
+ "\n",
+ " try_methods = [\n",
+ " lambda: DetrForObjectDetection.from_pretrained(\n",
+ " model_name,\n",
+ " revision=\"no_timm\",\n",
+ " ignore_mismatched_sizes=True\n",
+ " ),\n",
+ " lambda: DetrForObjectDetection.from_pretrained(\n",
+ " model_name,\n",
+ " trust_remote_code=True,\n",
+ " ignore_mismatched_sizes=True\n",
+ " ),\n",
+ " lambda: DetrForObjectDetection.from_pretrained(\n",
+ " model_name,\n",
+ " revision=\"main\",\n",
+ " ignore_mismatched_sizes=True\n",
+ " ),\n",
+ " lambda: install_timm_and_load(model_name),\n",
+ " lambda: DetrForObjectDetection.from_pretrained(model_name)\n",
+ " ]\n",
+ "\n",
+ " def install_timm_and_load(model_name):\n",
+ " \"\"\"Helper to install a compatible timm version and load the model\"\"\"\n",
+ " import subprocess\n",
+ " logger.info(\"Installing compatible timm version...\")\n",
+ " subprocess.check_call([\"pip\", \"install\", \"timm==0.4.12\"])\n",
+ " return DetrForObjectDetection.from_pretrained(model_name)\n",
+ "\n",
+ " model = None\n",
+ " for i, method in enumerate(try_methods):\n",
+ " try:\n",
+ " logger.info(f\"Trying model loading method {i+1}...\")\n",
+ " model = method()\n",
+ " logger.info(f\"Successfully loaded model with method {i+1}\")\n",
+ " break\n",
+ " except Exception as e:\n",
+ " logger.warning(f\"Method {i+1} failed: {str(e)}\")\n",
+ "\n",
+ " if model is None:\n",
+ " raise RuntimeError(\"Failed to load model with any method\")\n",
+ "\n",
+ " num_vehicle_classes = len(VEHICLE_CLASSES)\n",
+ " logger.info(f\"Model initialized with {model.config.num_labels} total classes\")\n",
+ " logger.info(f\"Tracking {num_vehicle_classes} vehicle classes: {sorted(list(VEHICLE_CLASSES))}\")\n",
+ " logger.info(f\"Model's category mapping for vehicle classes:\")\n",
+ " for i in sorted(list(VEHICLE_CLASSES)):\n",
+ " model_id = i-1\n",
+ " if model_id in model.config.id2label:\n",
+ " logger.info(f\"COCO Category ID {i}: {model.config.id2label[model_id]}\")\n",
+ " else:\n",
+ " logger.info(f\"COCO Category ID {i}: Not found in model's id2label mapping\")\n",
+ "\n",
+ " model.to(device)\n",
+ "\n",
+ " push_to_hub_id = push_to_hub_name.split(\"/\")[-1] if \"/\" in push_to_hub_name else push_to_hub_name\n",
+ "\n",
+ " training_args = TrainingArguments(\n",
+ " output_dir=output_dir,\n",
+ " per_device_train_batch_size=batch_size,\n",
+ " per_device_eval_batch_size=batch_size,\n",
+ " evaluation_strategy=\"no\",\n",
+ " save_strategy=\"epoch\",\n",
+ " save_total_limit=3,\n",
+ " learning_rate=learning_rate,\n",
+ " num_train_epochs=num_epochs,\n",
+ " weight_decay=1e-4,\n",
+ " report_to=\"tensorboard\",\n",
+ " push_to_hub=True,\n",
+ " hub_model_id=push_to_hub_name,\n",
+ " hub_strategy=\"end\",\n",
+ " remove_unused_columns=False,\n",
+ " dataloader_num_workers=2,\n",
+ " fp16=True,\n",
+ " logging_steps=PRINT_INTERVAL,\n",
+ " logging_dir=os.path.join(output_dir, \"logs\"),\n",
+ " logging_first_step=True,\n",
+ " )\n",
+ "\n",
+ " progress_callback = TrainingProgressCallback(print_interval=PRINT_INTERVAL)\n",
+ "\n",
+ " trainer = Trainer(\n",
+ " model=model,\n",
+ " args=training_args,\n",
+ " train_dataset=train_dataset,\n",
+ " data_collator=collate_fn,\n",
+ " callbacks=[progress_callback]\n",
+ " )\n",
+ "\n",
+ " logger.info(f\"Starting training for {num_epochs} epochs...\")\n",
+ " train_results = trainer.train()\n",
+ "\n",
+ " final_model_path = f\"{output_dir}/final\"\n",
+ " logger.info(f\"Saving final model to {final_model_path}\")\n",
+ " trainer.save_model(final_model_path)\n",
+ " processor.save_pretrained(final_model_path)\n",
+ "\n",
+ " logger.info(f\"Pushing model to Hugging Face Hub as {push_to_hub_name}\")\n",
+ " trainer.push_to_hub()\n",
+ "\n",
+ " logger.info(\"\\nTraining completed!\")\n",
+ " logger.info(\"Training metrics:\")\n",
+ " for key, value in train_results.metrics.items():\n",
+ " logger.info(f\" {key}: {value}\")\n",
+ "\n",
+ " # Calculate and print training statistics\n",
+ " train_runtime = train_results.metrics.get(\"train_runtime\", 0)\n",
+ " train_samples_per_second = train_results.metrics.get(\"train_samples_per_second\", 0)\n",
+ " train_steps_per_second = train_results.metrics.get(\"train_steps_per_second\", 0)\n",
+ " train_loss = train_results.metrics.get(\"train_loss\", 0)\n",
+ "\n",
+ " logger.info(\"\\nTraining Statistics:\")\n",
+ " logger.info(f\" Total runtime: {train_runtime:.2f} seconds\")\n",
+ " logger.info(f\" Samples per second: {train_samples_per_second:.2f}\")\n",
+ " logger.info(f\" Steps per second: {train_steps_per_second:.2f}\")\n",
+ " logger.info(f\" Final training loss: {train_loss:.4f}\")\n",
+ "\n",
+ " # Save the final model and processor with specific name\n",
+ " logger.info(f\"Saving final model to local directory\")\n",
+ " model.save_pretrained(output_dir)\n",
+ " processor.save_pretrained(output_dir)\n",
+ "\n",
+ " # Create detailed model card (README.md)\n",
+ " date_today = datetime.datetime.now().strftime(\"%Y-%m-%d\")\n",
+ "\n",
+ " model_card_content = f\"\"\"\n",
+ " ## DETR for Traffic Analysis - {push_to_hub_id}\n",
+ "\n",
+ " ## Model Description\n",
+ " This model is a fine-tuned version of [{model_name}] for detecting vehicles in traffic camera images. The model was trained for improved vehicle detection in traffic scenarios.\n",
+ "\n",
+ " ## Training Data\n",
+ " The model was trained on the [{dataset_name}], which contains traffic camera images with annotations for various vehicle types.\n",
+ " ## Training Details\n",
+ " - **Base Model**: {model_name}\n",
+ " - **Training Dataset Size**: {len(train_dataset)} examples\n",
+ " - **Epochs**: {num_epochs}\n",
+ " - **Batch Size**: {batch_size}\n",
+ " - **Learning Rate**: {learning_rate}\n",
+ " - **Weight Decay**: 1e-4\n",
+ " - **Training Date**: {date_today}\n",
+ " - **Final Training Loss**: {train_loss:.4f}\n",
+ " - **Training Time**: {train_runtime:.2f} seconds\n",
+ "\n",
+ " ## Performance Metrics\n",
+ " - **Training Loss**: {train_loss:.4f}\n",
+ " - **Samples per Second**: {train_samples_per_second:.2f}\n",
+ " - **Steps per Second**: {train_steps_per_second:.2f} \"\"\"\n",
+ "\n",
+ " model_card_path = os.path.join(output_dir, \"README.md\")\n",
+ " with open(model_card_path, \"w\") as f:\n",
+ " f.write(model_card_content)\n",
+ "\n",
+ " try:\n",
+ " api = HfApi()\n",
+ " api.upload_file(\n",
+ " path_or_fileobj=model_card_path,\n",
+ " path_in_repo=\"README.md\",\n",
+ " repo_id=push_to_hub_name,\n",
+ " repo_type=\"model\"\n",
+ " )\n",
+ " logger.info(f\"Model card created and uploaded to Hugging Face Hub\")\n",
+ " except Exception as e:\n",
+ " logger.warning(f\"Error uploading model card: {str(e)}\")\n",
+ "\n",
+ " try:\n",
+ " # Ensure model is also pushed directly (in case trainer push failed)\n",
+ " model.push_to_hub(push_to_hub_name)\n",
+ " processor.push_to_hub(push_to_hub_name)\n",
+ " logger.info(f\"Model saved and pushed to Hugging Face Hub as '{push_to_hub_name}'\")\n",
+ " except Exception as e:\n",
+ " logger.warning(f\"Error in final push to hub: {str(e)}\")\n",
+ "\n",
+ " logger.info(\"Training complete!\")\n",
+ "\n",
+ " # Return training results and metrics\n",
+ " return {\n",
+ " \"model_name\": model_name,\n",
+ " \"push_to_hub_name\": push_to_hub_name,\n",
+ " \"output_dir\": output_dir,\n",
+ " \"train_loss\": train_loss,\n",
+ " \"train_runtime\": train_runtime,\n",
+ " \"train_samples_per_second\": train_samples_per_second,\n",
+ " \"train_steps_per_second\": train_steps_per_second,\n",
+ " \"num_train_samples\": len(train_dataset),\n",
+ " \"num_epochs\": num_epochs\n",
+ " }"
+ ],
+ "metadata": {
+ "id": "D7M726gTW2le"
+ },
+ "execution_count": 17,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "**Model Train 1 : detr-resnet-50**"
+ ],
+ "metadata": {
+ "id": "bPkvzEmwZIiL"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "results = train_detr_model(\n",
+ " model_name=\"facebook/detr-resnet-50\",\n",
+ " push_to_hub_name=\"slliac/detr-group37-resnet-50\",\n",
+ " num_epochs=2,\n",
+ " learning_rate=5e-5,\n",
+ " batch_size=2,\n",
+ " hf_token=\"HUGGING_FACE_SECRET\"\n",
+ ")\n",
+ "print(f\"Training completed with loss: {results['train_loss']:.4f}\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000,
+ "referenced_widgets": [
+ "1aa5311412bd477fb4b102fbe805e757",
+ "f65fa288a4a34ec2b83151c7bb70a1f7",
+ "24552c97e02c4a2482fb01edd6946fb0",
+ "0d61c76984cf41edb32261a2db7cbf80",
+ "f4a6c46a1b7d4fcbbe1cdcc47f2d3b4d",
+ "0cdc23ddbace4b8e8760219a4d37a40e",
+ "7e464c3f32144f9db94ae44e5aa0b618",
+ "569f5007a7cc48de8009e9dc3079facd",
+ "b1e1ed1fc61442a1a429135efadf6fbc",
+ "6a71f7d21e69450b92597557a8478e96",
+ "76ef015e7b4842149dec21913a8ea1f8",
+ "b32b671c4f2142f5ae18dfa40cdace48",
+ "15ba12f6406e4a6881ccafae0c911850",
+ "51304b502192445391fc581bee65f364",
+ "daec0e0b6cf1413595a358b78f940e86",
+ "c1d9b5464b854915a32787913b65c311",
+ "780d0da548ea4c2f89974378477bc630",
+ "fa6c142f7aed4d299b2004660a90af1e",
+ "1f6a64aa01864de487e2e3b35ba0d745",
+ "f6bdbca2c5f24b688e9aef3ded274c7c",
+ "b46442b2c05b4742acaaa53ea1fe7788",
+ "b7181a21b0cf4377857ed7d36f4b5c16",
+ "e30709a862f2424eb795817d10b92ee6",
+ "f6dd02d585ab4953ae76a3e82db9378d",
+ "11f33bbbfb114ce5b72d689ec7cbf0fe",
+ "53fcc1c3a8db4a038c88c5107d9a2946",
+ "24c3fe07d6854f6097b4abe138991428",
+ "6bf9a4635b5b4f3b8da94ef65d3dddc3",
+ "2767094eee4149848b2b933964c4f9e0",
+ "216e1c142bc1435395b9a4c6ae530408",
+ "7e614d40746b41ada1e1a900558a27d1",
+ "d8a1156e59144372a923728739e02080",
+ "0003004573fe40ac9c01dbd66da0b66e"
+ ]
+ },
+ "id": "9hLEsBKTa6p5",
+ "outputId": "83636206-bb8a-4382-982a-807da7854f2a"
+ },
+ "execution_count": 16,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.11/dist-packages/transformers/training_args.py:1575: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "text/html": [
+ "\n",
+ " \n",
+ " \n",
+ "
\n",
+ " [120/120 00:20, Epoch 2/2]\n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " Step | \n",
+ " Training Loss | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 1 | \n",
+ " 0.510700 | \n",
+ "
\n",
+ " \n",
+ " 5 | \n",
+ " 0.566800 | \n",
+ "
\n",
+ " \n",
+ " 10 | \n",
+ " 0.780800 | \n",
+ "
\n",
+ " \n",
+ " 15 | \n",
+ " 0.672100 | \n",
+ "
\n",
+ " \n",
+ " 20 | \n",
+ " 0.629700 | \n",
+ "
\n",
+ " \n",
+ " 25 | \n",
+ " 0.561500 | \n",
+ "
\n",
+ " \n",
+ " 30 | \n",
+ " 0.698200 | \n",
+ "
\n",
+ " \n",
+ " 35 | \n",
+ " 0.637900 | \n",
+ "
\n",
+ " \n",
+ " 40 | \n",
+ " 0.602900 | \n",
+ "
\n",
+ " \n",
+ " 45 | \n",
+ " 0.583400 | \n",
+ "
\n",
+ " \n",
+ " 50 | \n",
+ " 0.574200 | \n",
+ "
\n",
+ " \n",
+ " 55 | \n",
+ " 0.512900 | \n",
+ "
\n",
+ " \n",
+ " 60 | \n",
+ " 0.491400 | \n",
+ "
\n",
+ " \n",
+ " 65 | \n",
+ " 0.597300 | \n",
+ "
\n",
+ " \n",
+ " 70 | \n",
+ " 0.505200 | \n",
+ "
\n",
+ " \n",
+ " 75 | \n",
+ " 0.580400 | \n",
+ "
\n",
+ " \n",
+ " 80 | \n",
+ " 0.581900 | \n",
+ "
\n",
+ " \n",
+ " 85 | \n",
+ " 0.476000 | \n",
+ "
\n",
+ " \n",
+ " 90 | \n",
+ " 0.653200 | \n",
+ "
\n",
+ " \n",
+ " 95 | \n",
+ " 0.598900 | \n",
+ "
\n",
+ " \n",
+ " 100 | \n",
+ " 0.518700 | \n",
+ "
\n",
+ " \n",
+ " 105 | \n",
+ " 0.428800 | \n",
+ "
\n",
+ " \n",
+ " 110 | \n",
+ " 0.638800 | \n",
+ "
\n",
+ " \n",
+ " 115 | \n",
+ " 0.567100 | \n",
+ "
\n",
+ " \n",
+ " 120 | \n",
+ " 0.528000 | \n",
+ "
\n",
+ " \n",
+ "
"
+ ]
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Step: 5/120 | Elapsed: 0:00:01\n",
+ "Step: 10/120 | Elapsed: 0:00:02\n",
+ "Step: 15/120 | Elapsed: 0:00:03\n",
+ "Step: 20/120 | Elapsed: 0:00:04\n",
+ "Step: 25/120 | Elapsed: 0:00:04\n",
+ "Step: 30/120 | Elapsed: 0:00:05\n",
+ "Step: 35/120 | Elapsed: 0:00:06\n",
+ "Step: 40/120 | Elapsed: 0:00:06\n",
+ "Step: 45/120 | Elapsed: 0:00:07\n",
+ "Step: 50/120 | Elapsed: 0:00:08\n",
+ "Step: 55/120 | Elapsed: 0:00:09\n",
+ "Step: 60/120 | Elapsed: 0:00:09\n",
+ "Step: 65/120 | Elapsed: 0:00:11\n",
+ "Step: 70/120 | Elapsed: 0:00:12\n",
+ "Step: 75/120 | Elapsed: 0:00:13\n",
+ "Step: 80/120 | Elapsed: 0:00:14\n",
+ "Step: 85/120 | Elapsed: 0:00:14\n",
+ "Step: 90/120 | Elapsed: 0:00:15\n",
+ "Step: 95/120 | Elapsed: 0:00:16\n",
+ "Step: 100/120 | Elapsed: 0:00:17\n",
+ "Step: 105/120 | Elapsed: 0:00:17\n",
+ "Step: 110/120 | Elapsed: 0:00:18\n",
+ "Step: 115/120 | Elapsed: 0:00:19\n",
+ "Step: 120/120 | Elapsed: 0:00:20\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Repo card metadata block was not found. Setting CardData to empty.\n",
+ "WARNING:huggingface_hub.repocard:Repo card metadata block was not found. Setting CardData to empty.\n",
+ "Repo card metadata block was not found. Setting CardData to empty.\n",
+ "WARNING:huggingface_hub.repocard:Repo card metadata block was not found. Setting CardData to empty.\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "events.out.tfevents.1741789129.d900bc9a0b95.1542.4: 0%| | 0.00/16.7k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "1aa5311412bd477fb4b102fbe805e757"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "No files have been modified since last commit. Skipping to prevent empty commit.\n",
+ "WARNING:huggingface_hub.hf_api:No files have been modified since last commit. Skipping to prevent empty commit.\n",
+ "/usr/local/lib/python3.11/dist-packages/huggingface_hub/hf_api.py:9216: UserWarning: Warnings while validating metadata in README.md:\n",
+ "- empty or missing yaml metadata in repo card\n",
+ " warnings.warn(f\"Warnings while validating metadata in README.md:\\n{message}\")\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "README.md: 0%| | 0.00/1.07k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "b32b671c4f2142f5ae18dfa40cdace48"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Repo card metadata block was not found. Setting CardData to empty.\n",
+ "WARNING:huggingface_hub.repocard:Repo card metadata block was not found. Setting CardData to empty.\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "README.md: 0%| | 0.00/1.08k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "e30709a862f2424eb795817d10b92ee6"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "No files have been modified since last commit. Skipping to prevent empty commit.\n",
+ "WARNING:huggingface_hub.hf_api:No files have been modified since last commit. Skipping to prevent empty commit.\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Training completed with loss: 0.5823\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "**Model Train 2 : detr-resnet-101-dc5**"
+ ],
+ "metadata": {
+ "id": "kW8Rbq0envE0"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "results = train_detr_model(\n",
+ " model_name=\"facebook/detr-resnet-101-dc5\",\n",
+ " push_to_hub_name=\"slliac/detr-group37-resnet-101-dc5\",\n",
+ " num_epochs=2,\n",
+ " learning_rate=5e-5,\n",
+ " batch_size=2,\n",
+ " hf_token=\"HUGGING_FACE_SECRET\"\n",
+ ")\n",
+ "print(f\"Training completed with loss: {results['train_loss']:.4f}\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000,
+ "referenced_widgets": [
+ "23a286d8c082475b8bc0f40374ca9139",
+ "c5a9a84749c346c7b552552e078d9bdb",
+ "e124aac03c104a038444f9f5991eeaa6",
+ "2d1dd191707e41abbd60704aeaa2baa2",
+ "61f9047a65dc44c58c3fdfa35f2c2f62",
+ "f58496cfabd04567bde97fcdbc9f2611",
+ "b3b01ca9c3d744be92b6ded1d86e6c34",
+ "37be5e1eebb2474ba9403c1bc5554eba",
+ "9ce15b7e1bf7408693ceabf93e81ebb3",
+ "4d819726ab034ca2a724280812ba836a",
+ "f059dce03f2d46f3a9c2006ddee966d9",
+ "39f2499893274ce4bf7aa5d8dbfca675",
+ "60c0d1d493a14c0eaf5b27295404e483",
+ "018aff70ea0d44faafa84393066f2e81",
+ "5b77b82ec17e4ca1b5e5c0f8e206443b",
+ "d5943a254c5146f5a088444ec9b7bba3",
+ "47b2467a412d4b1785f577d746e37098",
+ "dd6e66b4f8b244469bb9dacba0f16017",
+ "8231f6497c0a4afca8f9bc5c64c5f9cf",
+ "e91ed54437864cfcb7b3b7a01571762b",
+ "bbb4517205ba4804ab088032c9893dd0",
+ "2ae49c0e8f374ef28801e225a0e1d6e0",
+ "2f999d6760354d1da31ed6bc96703f30",
+ "c37d5b37b84d40f0b1179c4ba6042aef",
+ "8844298afccf4e9da4dafdd61a01995b",
+ "f03633fffa7849faae33179df4641b59",
+ "e9f9c5c181894632a967d57f76d26ac4",
+ "53c921de563d41299c9d12fac69e79b1",
+ "db2629a82ceb4f8ca5f59d4fd5744e40",
+ "b10351c7bb5149af8d65f1f23e906b45",
+ "c943c38251ba486097660f8a46880d7a",
+ "3148fc35a5374334bc46721df8551169",
+ "9241c29e31af4794bcd381217f9c9f64",
+ "ff6f332df3e84496a0e58985e8fce9b0",
+ "bc9d04fdd14e4110b012ed42063e2943",
+ "676d4d75671940e4904e2e42b2abe9ce",
+ "24c74453cd7d448d937609eafd69ea33",
+ "96a4ec0e9b80416cbd1eeef8228050ec",
+ "7bfec3ff696640bb80da3478e0d80092",
+ "76128fed18174b8a8d966f714d7cbfbc",
+ "7f39ecd41668469c96aba0e0a0abfde5",
+ "205926ede581414f9edf386e0a3d15b5",
+ "ea7b2fffb7104e25b9b06a25a70bce8c",
+ "58c4625b49fd48ffadfd5b0999aa250b",
+ "86f12da243714714978e5e260f8ee825",
+ "4c793e4d4ddc4e7caeef4cdfa5efb97d",
+ "f9eaf297464345fbad97f039faa1ba4f",
+ "c4c8fc43e95048f598c42e35d5e24282",
+ "d84c193eefc2499582fcfdc2b366eb28",
+ "76f561f03f474e0c85f369468a2bde18",
+ "d509007909934ff08733c3bd3c5165e2",
+ "e69262fb1ea64ffb99d50c20e5374a1c",
+ "c133355e1f7a4946b569559ee1e49867",
+ "dc8c9021af4540d7ab4e94fb4c5d5697",
+ "5f1afdb7a1864917a1b35d4e4085c0ea",
+ "f729c745942e45ecb54108770ec5254e",
+ "44f7487025884a989fbf43358657f8bc",
+ "f418569be59b45efb85438c4e6ef2484",
+ "81d042ad0fae461085c3cba7e5243255",
+ "d3a5a23ff37f4e24b8f04b813b13c56b",
+ "6db23bc90d9848b7b3376f8bbe32e552",
+ "0a4b912d62fc420fbc85ed51e9012d27",
+ "98bba99dfa1e43d987eed0318b87b69f",
+ "9d93b7bb2f134199a118c54b1852ecb7",
+ "6feeb6f5c81f4c2f9002490546b1e41e",
+ "de117f7724514577a1270fc2442c16a2",
+ "0b3abca0f9f24abfbb3741617c1f5e1d",
+ "12eb5858d10f40d0b43579fe929b9567",
+ "e4ae7c37be4947f19857455c33084d99",
+ "0dd29bf1da9e4c29be981c9ca527d4ea",
+ "c37b236d625a45cda25302578139ddf8",
+ "346534294ff2442780b83304956a5f57",
+ "66b5ce93df5a412b95df10edf881cdb6",
+ "37d1dbb6e77143fba1ece42cf4ead745",
+ "6f03d456e72f45b4a6483ce1249f2aa6",
+ "ed645f26ee604b4fa8baba5c1db92e02",
+ "6f0b6bd060a441b7bcea1693691e7025"
+ ]
+ },
+ "id": "WJWDr39Fe6hC",
+ "outputId": "f687c371-3b30-4211-9edf-7dbc374f5c07"
+ },
+ "execution_count": 4,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "preprocessor_config.json: 0%| | 0.00/274 [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "23a286d8c082475b8bc0f40374ca9139"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "The `max_size` parameter is deprecated and will be removed in v4.26. Please specify in `size['longest_edge'] instead`.\n",
+ "WARNING:__main__:Method 1 failed: no_timm is not a valid git identifier (branch name, tag name or commit id) that exists for this model name. Check the model page at 'https://huggingface.co/facebook/detr-resnet-101-dc5' for available revisions.\n",
+ "The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "config.json: 0%| | 0.00/4.38k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "39f2499893274ce4bf7aa5d8dbfca675"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "model.safetensors: 0%| | 0.00/243M [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "2f999d6760354d1da31ed6bc96703f30"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "model.safetensors: 0%| | 0.00/179M [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "ff6f332df3e84496a0e58985e8fce9b0"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Some weights of the model checkpoint at facebook/detr-resnet-101-dc5 were not used when initializing DetrForObjectDetection: ['model.backbone.conv_encoder.model.layer1.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer2.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer3.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer4.0.downsample.1.num_batches_tracked']\n",
+ "- This IS expected if you are initializing DetrForObjectDetection from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
+ "- This IS NOT expected if you are initializing DetrForObjectDetection from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
+ "/usr/local/lib/python3.11/dist-packages/transformers/training_args.py:1575: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "text/html": [
+ "\n",
+ " \n",
+ " \n",
+ "
\n",
+ " [112/112 01:03, Epoch 2/2]\n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " Step | \n",
+ " Training Loss | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 1 | \n",
+ " 0.850900 | \n",
+ "
\n",
+ " \n",
+ " 5 | \n",
+ " 1.255300 | \n",
+ "
\n",
+ " \n",
+ " 10 | \n",
+ " 2.391000 | \n",
+ "
\n",
+ " \n",
+ " 15 | \n",
+ " 1.234300 | \n",
+ "
\n",
+ " \n",
+ " 20 | \n",
+ " 2.049200 | \n",
+ "
\n",
+ " \n",
+ " 25 | \n",
+ " 1.189600 | \n",
+ "
\n",
+ " \n",
+ " 30 | \n",
+ " 1.355500 | \n",
+ "
\n",
+ " \n",
+ " 35 | \n",
+ " 1.456000 | \n",
+ "
\n",
+ " \n",
+ " 40 | \n",
+ " 1.585200 | \n",
+ "
\n",
+ " \n",
+ " 45 | \n",
+ " 1.878700 | \n",
+ "
\n",
+ " \n",
+ " 50 | \n",
+ " 1.620500 | \n",
+ "
\n",
+ " \n",
+ " 55 | \n",
+ " 1.133600 | \n",
+ "
\n",
+ " \n",
+ " 60 | \n",
+ " 1.309900 | \n",
+ "
\n",
+ " \n",
+ " 65 | \n",
+ " 1.096300 | \n",
+ "
\n",
+ " \n",
+ " 70 | \n",
+ " 0.954300 | \n",
+ "
\n",
+ " \n",
+ " 75 | \n",
+ " 0.998600 | \n",
+ "
\n",
+ " \n",
+ " 80 | \n",
+ " 1.190700 | \n",
+ "
\n",
+ " \n",
+ " 85 | \n",
+ " 1.439300 | \n",
+ "
\n",
+ " \n",
+ " 90 | \n",
+ " 1.171300 | \n",
+ "
\n",
+ " \n",
+ " 95 | \n",
+ " 1.191800 | \n",
+ "
\n",
+ " \n",
+ " 100 | \n",
+ " 1.085300 | \n",
+ "
\n",
+ " \n",
+ " 105 | \n",
+ " 0.919500 | \n",
+ "
\n",
+ " \n",
+ " 110 | \n",
+ " 1.063400 | \n",
+ "
\n",
+ " \n",
+ "
"
+ ]
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Step: 5/112 | Elapsed: 0:00:04\n",
+ "Step: 10/112 | Elapsed: 0:00:06\n",
+ "Step: 15/112 | Elapsed: 0:00:09\n",
+ "Step: 20/112 | Elapsed: 0:00:12\n",
+ "Step: 25/112 | Elapsed: 0:00:14\n",
+ "Step: 30/112 | Elapsed: 0:00:17\n",
+ "Step: 35/112 | Elapsed: 0:00:20\n",
+ "Step: 40/112 | Elapsed: 0:00:22\n",
+ "Step: 45/112 | Elapsed: 0:00:25\n",
+ "Step: 50/112 | Elapsed: 0:00:28\n",
+ "Step: 55/112 | Elapsed: 0:00:30\n",
+ "Step: 60/112 | Elapsed: 0:00:35\n",
+ "Step: 65/112 | Elapsed: 0:00:37\n",
+ "Step: 70/112 | Elapsed: 0:00:40\n",
+ "Step: 75/112 | Elapsed: 0:00:43\n",
+ "Step: 80/112 | Elapsed: 0:00:45\n",
+ "Step: 85/112 | Elapsed: 0:00:48\n",
+ "Step: 90/112 | Elapsed: 0:00:51\n",
+ "Step: 95/112 | Elapsed: 0:00:54\n",
+ "Step: 100/112 | Elapsed: 0:00:56\n",
+ "Step: 105/112 | Elapsed: 0:00:59\n",
+ "Step: 110/112 | Elapsed: 0:01:02\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "events.out.tfevents.1741787947.d900bc9a0b95.1542.1: 0%| | 0.00/14.2k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "86f12da243714714978e5e260f8ee825"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "No files have been modified since last commit. Skipping to prevent empty commit.\n",
+ "WARNING:huggingface_hub.hf_api:No files have been modified since last commit. Skipping to prevent empty commit.\n",
+ "/usr/local/lib/python3.11/dist-packages/huggingface_hub/hf_api.py:9216: UserWarning: Warnings while validating metadata in README.md:\n",
+ "- empty or missing yaml metadata in repo card\n",
+ " warnings.warn(f\"Warnings while validating metadata in README.md:\\n{message}\")\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "README.md: 0%| | 0.00/1.90k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "f729c745942e45ecb54108770ec5254e"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Repo card metadata block was not found. Setting CardData to empty.\n",
+ "WARNING:huggingface_hub.repocard:Repo card metadata block was not found. Setting CardData to empty.\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "README.md: 0%| | 0.00/1.91k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "0b3abca0f9f24abfbb3741617c1f5e1d"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "No files have been modified since last commit. Skipping to prevent empty commit.\n",
+ "WARNING:huggingface_hub.hf_api:No files have been modified since last commit. Skipping to prevent empty commit.\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Training completed with loss: 1.3318\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "**Model Train 3 : liaujianjie-resnet-50**"
+ ],
+ "metadata": {
+ "id": "2ieH9dNCn82P"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "results = train_detr_model(\n",
+ " model_name=\"liaujianjie/detr-resnet-50\",\n",
+ " push_to_hub_name=\"slliac/detr-group37-liaujianjie-resnet-50\",\n",
+ " num_epochs=2,\n",
+ " learning_rate=5e-5,\n",
+ " batch_size=2,\n",
+ " hf_token=\"HUGGING_FACE_SECRET\"\n",
+ " )\n",
+ "print(f\"Training completed with loss: {results['train_loss']:.4f}\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000,
+ "referenced_widgets": [
+ "721482755735421c9553210f2ea74e5c",
+ "a65f4b94688e4de09832ba208d8c5c3b",
+ "7c37e79842cf4f9587cbc30e652a9606",
+ "95ef4b46dbfc4f4ea78b2668cf640aa7",
+ "7258a51cbac14c6e9c78e3345855e985",
+ "4b6644d5f18f49b6a1514b2b352d34e9",
+ "5be911b188294b6bad73bf50b818c8b2",
+ "b3205bb781bd49b28d196d2f8345700a",
+ "5a7b172d8b934f4d96239169d8432d6e",
+ "8f41cb68d568463ea1af6ca2abd56e4b",
+ "96a1b5ee80664b8b96a5012ff0219a19",
+ "33a0fd08a90f4a47b4bb3cd92758c729",
+ "38846078b09847a082ab8cdc1d945afd",
+ "3df25ba81e3d4796808782d83f304fd7",
+ "9f0b00f48d1841a283b5032c22bb91a7",
+ "3def802527484955947c4ef00dfdaedb",
+ "3c485a431dd24319864529e8b576f423",
+ "ca1d5ab209d442d48b4baadd56c468ff",
+ "b4c564934a584ca5be47b757593ee218",
+ "ccdd37f8318c4380b9ece891ef5ae997",
+ "f33e8b94e7af4502a179a9c9e7821527",
+ "4abe50928f704eea8c6b964b5fca6e03",
+ "3d2422149444488f806aadd269aba6e9",
+ "04b46838f8cd4f19a45d94410a3320da",
+ "333a01af3ebd45bb8f8b5c74bd5c2397",
+ "891c968803744c5aabdc51a193f6d9ed",
+ "8acae91228c249d982b22205628b576b",
+ "c7d20fd035ff443bb028372e70a8bf41",
+ "bb5ca4df881b43eabe20a2604414075f",
+ "f71c941211dd4b9cb68b3f78f2411aa7",
+ "0440e2b64ae54cb680a636f2afcf6a17",
+ "66702a84aedb4dc4a79dce7dbf8015b4",
+ "f446763e45ba436f9cd4d8f6726226fa",
+ "e9a7266d816f41ad9cfecf98104c3c6e",
+ "2354eed3b09f46a79d813a1b9f907c19",
+ "4d06a626083e4dc8bea4c3d082382b2a",
+ "ff538bad4cc94eddb4fb1d2ad3546ce5",
+ "e2dcb9810e1d4bcbbe46f6c43695ca6a",
+ "f7a8f25c7a824e1e9226d132f8b04d16",
+ "d7da85d478f54454ac6b461ade0e74a9",
+ "8a5fee34c8134abbb48a24a1f78a0c80",
+ "3c7957f490794dd8b73c86606dd717a3",
+ "34c49cfe30474ddf917e170b4506b5cd",
+ "c9748333c5274002ad4ee5aeb046c314",
+ "5ef782db04824087ac810e8e7a70d3c6",
+ "9eef91a93ca947be9a968fcf3423314b",
+ "aa3820a340d34144ac3a26c9035b823c",
+ "65330aed20ca4164a8497ab9953e94cf",
+ "de9d6ba5ecc441e3a37a886667f88825",
+ "0dc76ca4eb28486e8e09558604f45745",
+ "e17420ac38a6464e9c4f0b2a5259a087",
+ "0e61eeaa64de4b30894c2b280851ba7c",
+ "ed832b9c27324c01a29cd953ed3193a7",
+ "4bce3817f9014328bd016333a66eb324",
+ "c55c0c7268a546269261d999e6feb6bc",
+ "4385233a65054b60b64023141ba905bf",
+ "a959eae11806499db4be61aad01c0abb",
+ "0f29ad2acd9d44a9966a279256229104",
+ "1bab156af8ba4f9fa09b8ca141c7fda9",
+ "970d3ff739a84b62b6fccb9f0588bef6",
+ "e5666b1494c04fc9bdaf393d0de48459",
+ "f8b1a6fc278e4f50884521ea114dca70",
+ "1285ed4ad7e14f82830703a77ae61ae3",
+ "20644e8268e6490d9d41bd9b7c810a2d",
+ "64c33a3a32f3415882b99d6b9e372528",
+ "5eaf232d86324b6992484f14277b62d0",
+ "11c2a5cbc2a843c8ace804a4a0462b5a",
+ "f22029f4b18240be96ba24bcc0a79c12",
+ "6727ffb8310444b38778dfe94dd63a10",
+ "42a410a07fe5419db008a24c998ff5d4",
+ "c8d9cfe4f19d4baea2d93de48ed1ed38",
+ "3cb1859881774930a7ab43212c0b71c6",
+ "28f2a60584e641f69bd3dfb358d19186",
+ "b1ed927d090b4086951e973b592fa76f",
+ "7f7e6933fd944563b1aebccf5aed70d8",
+ "4d2f6e50f10c4429a671e4b72f1e1990",
+ "92cdfefdf5414f6e8643cb999bf13285",
+ "87d7f7586632473c9bf200e5de020670",
+ "8606af714ce54c5caf979cc26efdcff4",
+ "77afb28f1d33424c8a846495731eb713",
+ "43920a72ae154f9fb341e12b9b76f8e1",
+ "966d84b22b784918acdb23af4e73bdb7",
+ "930b6658ae9448be95e86ef0d4492a9c",
+ "1c3f2fe04c5f4b43a367e76e5f9ae3af",
+ "ecf08854995844b08379b6247bc44a6b",
+ "6bea0b51fcc04a029c5a134251e69cfb",
+ "16adfa19c240443cb39edb277e0735e1",
+ "b285ba1d9780451b82cc3c6d53ded5b6",
+ "b87cd479e76c454dba4c7d670d868d7d",
+ "dfb71a38e6b0494a9b56da43085a4052",
+ "6a8c3d34e93f419f8b8b6f5eb1a8aaa2",
+ "d5346374370f42e9a8f2c7a51d695604",
+ "77ee2def5bf44dbfa818c8d2c03f6999",
+ "98c0c41fb65a400896e4ab6a15eeab6a",
+ "ceb4abd9e61a4ceb905437efd7a1f0e6",
+ "e91d483dade34e60a32b59f524da7b6f",
+ "6853c308075741f58e715153df465456",
+ "5e43aaa3a7fb452eb8a33303b652716a",
+ "a32762d3176741b8a1c1fea55b26dabe",
+ "7a7c7e3dcddc4f32947c3c5d65466851",
+ "f9a45ce825a749afa04481d93d9346b5",
+ "80e781335f26440788d4a5f257d5e068",
+ "f0ef0bef54554731bbf772606b4f7eb0",
+ "d471cea51eae497aaa02945964eda38f",
+ "65872d17f03644e99210da6af2d9275c",
+ "bf21d87ca55d40618cd4fed319cb38d7",
+ "b7075e6de50d48e097f3648d0a14ee12",
+ "ab291170d3d3434b91005561a85a9865",
+ "41ea6c61c023466597614b891b4c1f82",
+ "e0c8211531d14b73bb80d27db98ef5e1",
+ "780d00b3b45447ef82c5f952fc1ee9f1",
+ "b8071ae3a4e34fcc92bc0943ff9282ae",
+ "2bae5335b8dd4f8f959238d8bf109996",
+ "0febdfb158ac4d1c9e19e59781142f22",
+ "d488f67d6d4840e9937c3f3fa6006aed",
+ "95424565046b4066b81cb2f98bc7bae3",
+ "44d347b2b1c045d2936c693349604ac1",
+ "6360b10929ba46f2a9f20c3f320c424b",
+ "879f3e9f46f24fbcb4fc804420c7a7c4",
+ "37cda2b98e7d480f98399efd6ced5c01",
+ "002ad0d3c3aa4c52a0f782ee5ccc7d61",
+ "16e990b67ad34aadb5ff145e096c92d1",
+ "54ade80f3b7a4927aaa61e5392195871",
+ "c117d50c9ecc4d458f99f046d32e4d35",
+ "819481ca8c1a40e9818ef47ab31689cf",
+ "16c6b33fc2d9455cb76b1f29f271cad0",
+ "51348c901bbf4e3a804bffccb8573c30",
+ "505258699c2c4e61b50060ba47580309",
+ "bbf7d8cda63c4be28c317291cf722a77",
+ "638a0c7ce51d4eebaab5d8b225c56fd2",
+ "39b2c3098ff04d2dbfb9796337e84223",
+ "c4f8d4fa703d4d9eb86e7a84679f81c6",
+ "bbf94cd435c244e1a0491307815ec9b1",
+ "6fdf23cb30bf4af39d93454b0a330f38",
+ "fc80b8d66a784a7884342f249b276639",
+ "83bb0196e73f41ddb62e695183e781e0",
+ "be1bc301a57c4f0ebe9b57e16e85da6a",
+ "25d89959843e4c3bad2abbab7d03fb6e",
+ "bfe075894b264dfc8a7ff0a623b36ab3",
+ "18c6c6bfd5ec4e8ebc29132a66ddb670",
+ "345ff46eeb974d0aa2a119d6f2649d48",
+ "0877b73b7c0d48fcbc53fce41e3766d9",
+ "351808ca376643a49e1ab37da3f201e5"
+ ]
+ },
+ "id": "xezkif15n5PF",
+ "outputId": "486c39b6-a778-42aa-f8b5-b88780467764"
+ },
+ "execution_count": 5,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "preprocessor_config.json: 0%| | 0.00/274 [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "721482755735421c9553210f2ea74e5c"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "WARNING:__main__:Method 1 failed: no_timm is not a valid git identifier (branch name, tag name or commit id) that exists for this model name. Check the model page at 'https://huggingface.co/liaujianjie/detr-resnet-50' for available revisions.\n",
+ "The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "config.json: 0%| | 0.00/4.59k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "33a0fd08a90f4a47b4bb3cd92758c729"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "pytorch_model.bin: 0%| | 0.00/167M [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "3d2422149444488f806aadd269aba6e9"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "model.safetensors: 0%| | 0.00/102M [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "e9a7266d816f41ad9cfecf98104c3c6e"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Some weights of the model checkpoint at liaujianjie/detr-resnet-50 were not used when initializing DetrForObjectDetection: ['model.backbone.conv_encoder.model.layer1.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer2.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer3.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer4.0.downsample.1.num_batches_tracked']\n",
+ "- This IS expected if you are initializing DetrForObjectDetection from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
+ "- This IS NOT expected if you are initializing DetrForObjectDetection from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
+ "/usr/local/lib/python3.11/dist-packages/transformers/training_args.py:1575: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "text/html": [
+ "\n",
+ " \n",
+ " \n",
+ "
\n",
+ " [112/112 00:24, Epoch 2/2]\n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " Step | \n",
+ " Training Loss | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 1 | \n",
+ " 0.375000 | \n",
+ "
\n",
+ " \n",
+ " 5 | \n",
+ " 0.604600 | \n",
+ "
\n",
+ " \n",
+ " 10 | \n",
+ " 0.923900 | \n",
+ "
\n",
+ " \n",
+ " 15 | \n",
+ " 1.457600 | \n",
+ "
\n",
+ " \n",
+ " 20 | \n",
+ " 3.377300 | \n",
+ "
\n",
+ " \n",
+ " 25 | \n",
+ " 1.405600 | \n",
+ "
\n",
+ " \n",
+ " 30 | \n",
+ " 1.214700 | \n",
+ "
\n",
+ " \n",
+ " 35 | \n",
+ " 1.039300 | \n",
+ "
\n",
+ " \n",
+ " 40 | \n",
+ " 1.314200 | \n",
+ "
\n",
+ " \n",
+ " 45 | \n",
+ " 1.300300 | \n",
+ "
\n",
+ " \n",
+ " 50 | \n",
+ " 1.147100 | \n",
+ "
\n",
+ " \n",
+ " 55 | \n",
+ " 1.073000 | \n",
+ "
\n",
+ " \n",
+ " 60 | \n",
+ " 1.331400 | \n",
+ "
\n",
+ " \n",
+ " 65 | \n",
+ " 1.086300 | \n",
+ "
\n",
+ " \n",
+ " 70 | \n",
+ " 1.093500 | \n",
+ "
\n",
+ " \n",
+ " 75 | \n",
+ " 0.942100 | \n",
+ "
\n",
+ " \n",
+ " 80 | \n",
+ " 0.936700 | \n",
+ "
\n",
+ " \n",
+ " 85 | \n",
+ " 1.162900 | \n",
+ "
\n",
+ " \n",
+ " 90 | \n",
+ " 0.877700 | \n",
+ "
\n",
+ " \n",
+ " 95 | \n",
+ " 1.050500 | \n",
+ "
\n",
+ " \n",
+ " 100 | \n",
+ " 0.705500 | \n",
+ "
\n",
+ " \n",
+ " 105 | \n",
+ " 0.835600 | \n",
+ "
\n",
+ " \n",
+ " 110 | \n",
+ " 0.879000 | \n",
+ "
\n",
+ " \n",
+ "
"
+ ]
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Step: 5/112 | Elapsed: 0:00:02\n",
+ "Step: 10/112 | Elapsed: 0:00:03\n",
+ "Step: 15/112 | Elapsed: 0:00:04\n",
+ "Step: 20/112 | Elapsed: 0:00:05\n",
+ "Step: 25/112 | Elapsed: 0:00:06\n",
+ "Step: 30/112 | Elapsed: 0:00:07\n",
+ "Step: 35/112 | Elapsed: 0:00:08\n",
+ "Step: 40/112 | Elapsed: 0:00:09\n",
+ "Step: 45/112 | Elapsed: 0:00:10\n",
+ "Step: 50/112 | Elapsed: 0:00:11\n",
+ "Step: 55/112 | Elapsed: 0:00:12\n",
+ "Step: 60/112 | Elapsed: 0:00:15\n",
+ "Step: 65/112 | Elapsed: 0:00:15\n",
+ "Step: 70/112 | Elapsed: 0:00:16\n",
+ "Step: 75/112 | Elapsed: 0:00:17\n",
+ "Step: 80/112 | Elapsed: 0:00:18\n",
+ "Step: 85/112 | Elapsed: 0:00:19\n",
+ "Step: 90/112 | Elapsed: 0:00:20\n",
+ "Step: 95/112 | Elapsed: 0:00:21\n",
+ "Step: 100/112 | Elapsed: 0:00:22\n",
+ "Step: 105/112 | Elapsed: 0:00:23\n",
+ "Step: 110/112 | Elapsed: 0:00:24\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Repo card metadata block was not found. Setting CardData to empty.\n",
+ "WARNING:huggingface_hub.repocard:Repo card metadata block was not found. Setting CardData to empty.\n",
+ "Repo card metadata block was not found. Setting CardData to empty.\n",
+ "WARNING:huggingface_hub.repocard:Repo card metadata block was not found. Setting CardData to empty.\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "model.safetensors: 0%| | 0.00/167M [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "5ef782db04824087ac810e8e7a70d3c6"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "events.out.tfevents.1741787856.d900bc9a0b95.1542.0: 0%| | 0.00/16.2k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "4385233a65054b60b64023141ba905bf"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Upload 6 LFS files: 0%| | 0/6 [00:00, ?it/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "11c2a5cbc2a843c8ace804a4a0462b5a"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "events.out.tfevents.1741788068.d900bc9a0b95.1542.2: 0%| | 0.00/14.4k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "87d7f7586632473c9bf200e5de020670"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "training_args.bin: 0%| | 0.00/5.37k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "b87cd479e76c454dba4c7d670d868d7d"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "model.safetensors: 0%| | 0.00/167M [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "7a7c7e3dcddc4f32947c3c5d65466851"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "training_args.bin: 0%| | 0.00/5.37k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "780d00b3b45447ef82c5f952fc1ee9f1"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "No files have been modified since last commit. Skipping to prevent empty commit.\n",
+ "WARNING:huggingface_hub.hf_api:No files have been modified since last commit. Skipping to prevent empty commit.\n",
+ "/usr/local/lib/python3.11/dist-packages/huggingface_hub/hf_api.py:9216: UserWarning: Warnings while validating metadata in README.md:\n",
+ "- empty or missing yaml metadata in repo card\n",
+ " warnings.warn(f\"Warnings while validating metadata in README.md:\\n{message}\")\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "README.md: 0%| | 0.00/1.92k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "16e990b67ad34aadb5ff145e096c92d1"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Repo card metadata block was not found. Setting CardData to empty.\n",
+ "WARNING:huggingface_hub.repocard:Repo card metadata block was not found. Setting CardData to empty.\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "README.md: 0%| | 0.00/1.93k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "bbf94cd435c244e1a0491307815ec9b1"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "No files have been modified since last commit. Skipping to prevent empty commit.\n",
+ "WARNING:huggingface_hub.hf_api:No files have been modified since last commit. Skipping to prevent empty commit.\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Training completed with loss: 1.1597\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "**Evaluation Method Initialization**"
+ ],
+ "metadata": {
+ "id": "7UK0gThEbAcq"
+ }
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {
+ "id": "rvlTd3mMmpGX",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "a1ed51a9-7721-47a6-a606-537facf0870d"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Using device: cuda\n"
+ ]
+ }
+ ],
+ "source": [
+ "import torch\n",
+ "from PIL import Image, ImageDraw, ImageFont\n",
+ "import io\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "from transformers import DetrImageProcessor, DetrForObjectDetection\n",
+ "from tqdm.auto import tqdm\n",
+ "import pandas as pd\n",
+ "import os\n",
+ "import re\n",
+ "import shutil\n",
+ "\n",
+ "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
+ "print(f\"Using device: {device}\")\n",
+ "TEST_FOLDER = \"/content/Manual_Test\" # Path to test images in Colab\n",
+ "\n",
+ "GROUND_TRUTH = {\n",
+ " \"H421F.jpeg\": 5,\n",
+ " \"AID01108.jpeg\": 4,\n",
+ " \"AID01109.jpeg\": 4,\n",
+ " \"AID01111.jpeg\": 4,\n",
+ " \"AID01112.jpeg\": 1,\n",
+ " \"AID01114.jpeg\": 1,\n",
+ " \"AID01115.jpeg\": 4\n",
+ "}\n",
+ "\n",
+ "VEHICLE_CLASSES = {2, 3, 4, 5, 6, 7, 8}\n",
+ "CATEGORY_NAMES = {\n",
+ " 2: \"bicycle\",\n",
+ " 3: \"car\",\n",
+ " 4: \"motorcycle\",\n",
+ " 5: \"airplane\",\n",
+ " 6: \"bus\",\n",
+ " 7: \"train\",\n",
+ " 8: \"truck\"\n",
+ "}\n",
+ "\n",
+ "def visualize_detections(image, detections, title=\"Detections\"):\n",
+ " draw = ImageDraw.Draw(image)\n",
+ " try:\n",
+ " font = ImageFont.truetype(\"DejaVuSans.ttf\", 14)\n",
+ " except IOError:\n",
+ " font = ImageFont.load_default()\n",
+ "\n",
+ " for score, label, box in zip(detections[\"scores\"], detections[\"labels\"], detections[\"boxes\"]):\n",
+ " if label.item() in VEHICLE_CLASSES:\n",
+ " box = [int(i) for i in box.tolist()]\n",
+ " draw.rectangle([(box[0], box[1]), (box[2], box[3])], outline=\"red\", width=3)\n",
+ " class_id = label.item()\n",
+ " class_name = CATEGORY_NAMES.get(class_id, f\"Unknown-{class_id}\")\n",
+ " text = f\"{class_name}: {score.item():.2f}\"\n",
+ " draw.rectangle([(box[0], box[1]-20), (box[0]+len(text)*8, box[1])], fill=\"red\")\n",
+ " draw.text((box[0], box[1]-20), text, fill=\"white\", font=font)\n",
+ " draw.text((10, 10), title, fill=\"black\", font=font)\n",
+ " return image\n",
+ "\n",
+ "def count_vehicles(detections):\n",
+ " vehicle_count = 0\n",
+ " vehicle_types = {}\n",
+ "\n",
+ " for score, label in zip(detections[\"scores\"], detections[\"labels\"]):\n",
+ " if label.item() in VEHICLE_CLASSES:\n",
+ " vehicle_count += 1\n",
+ " class_id = label.item()\n",
+ " class_name = CATEGORY_NAMES.get(class_id, f\"Unknown-{class_id}\")\n",
+ " if class_name in vehicle_types:\n",
+ " vehicle_types[class_name] += 1\n",
+ " else:\n",
+ " vehicle_types[class_name] = 1\n",
+ "\n",
+ " return vehicle_count, vehicle_types\n",
+ "\n",
+ "def calculate_proportion_correct(detected, ground_truth):\n",
+ " if ground_truth == 0:\n",
+ " return 1.0 if detected == 0 else 0.0\n",
+ " elif detected <= ground_truth:\n",
+ " return detected / ground_truth\n",
+ " else:\n",
+ " return ground_truth / detected\n",
+ "\n",
+ "def evaluate_model(model_name, confidence_threshold=0.7):\n",
+ " clean_model_name = re.sub(r'[^\\w\\-]', '_', model_name.split('/')[-1])\n",
+ " output_dir = f\"{clean_model_name}_detection\"\n",
+ " if not os.path.exists(output_dir):\n",
+ " os.makedirs(output_dir)\n",
+ " print(f\"Starting evaluation of {model_name}\")\n",
+ " print(f\"Results will be saved to: {output_dir}\")\n",
+ " print(f\"Loading model: {model_name}\")\n",
+ " try:\n",
+ " processor = DetrImageProcessor.from_pretrained(model_name, revision=\"main\")\n",
+ " model = DetrForObjectDetection.from_pretrained(model_name, revision=\"main\")\n",
+ " except Exception as e:\n",
+ " print(f\"Error loading with revision: {e}\")\n",
+ " processor = DetrImageProcessor.from_pretrained(model_name)\n",
+ " model = DetrForObjectDetection.from_pretrained(model_name)\n",
+ "\n",
+ " model.to(device)\n",
+ " model.eval()\n",
+ " results = {\n",
+ " \"image_name\": [],\n",
+ " \"ground_truth_count\": [],\n",
+ " \"detected_count\": [],\n",
+ " \"proportion_correct\": [],\n",
+ " \"match\": [],\n",
+ " \"difference\": []\n",
+ " }\n",
+ "\n",
+ " if not os.path.exists(TEST_FOLDER):\n",
+ " print(f\"Error: Test folder not found at {TEST_FOLDER}\")\n",
+ " return None, None\n",
+ "\n",
+ " test_images = [img for img in os.listdir(TEST_FOLDER) if img in GROUND_TRUTH]\n",
+ "\n",
+ " if not test_images:\n",
+ " print(\"No matching test images found in the folder!\")\n",
+ " return None, None\n",
+ "\n",
+ " print(f\"Found {len(test_images)} test images with ground truth annotations.\")\n",
+ "\n",
+ " for image_name in tqdm(test_images, desc=\"Evaluating images\"):\n",
+ " image_path = os.path.join(TEST_FOLDER, image_name)\n",
+ "\n",
+ " try:\n",
+ " image = Image.open(image_path).convert(\"RGB\")\n",
+ " ground_truth_count = GROUND_TRUTH[image_name]\n",
+ " inputs = processor(images=image, return_tensors=\"pt\").to(device)\n",
+ " with torch.no_grad():\n",
+ " outputs = model(**inputs)\n",
+ " target_sizes = torch.tensor([image.size[::-1]]).to(device)\n",
+ " results_detection = processor.post_process_object_detection(\n",
+ " outputs,\n",
+ " target_sizes=target_sizes,\n",
+ " threshold=confidence_threshold\n",
+ " )[0]\n",
+ " detected_count, detected_types = count_vehicles(results_detection)\n",
+ " prop_correct = calculate_proportion_correct(detected_count, ground_truth_count)\n",
+ " results[\"image_name\"].append(image_name)\n",
+ " results[\"ground_truth_count\"].append(ground_truth_count)\n",
+ " results[\"detected_count\"].append(detected_count)\n",
+ " results[\"proportion_correct\"].append(prop_correct)\n",
+ " results[\"match\"].append(detected_count == ground_truth_count)\n",
+ " results[\"difference\"].append(detected_count - ground_truth_count)\n",
+ " vis_image = image.copy()\n",
+ " vis_image = visualize_detections(vis_image, results_detection,\n",
+ " f\"Detected: {detected_count} | Truth: {ground_truth_count} | Accuracy: {prop_correct:.1%}\")\n",
+ " plt.figure(figsize=(10, 8))\n",
+ " plt.imshow(vis_image)\n",
+ " plt.axis('off')\n",
+ " plt.title(f\"{image_name} - Accuracy: {prop_correct:.1%}\")\n",
+ " output_path = os.path.join(output_dir, f\"detection_{image_name.split('.')[0]}.png\")\n",
+ " plt.savefig(output_path, bbox_inches='tight')\n",
+ " plt.close()\n",
+ " print(f\"\\nImage: {image_name}\")\n",
+ " print(f\" Ground truth count: {ground_truth_count}\")\n",
+ " print(f\" Model detected: {detected_count}\")\n",
+ " print(f\" Detected types: {detected_types}\")\n",
+ " print(f\" Proportion correct: {prop_correct:.1%}\")\n",
+ " except Exception as e:\n",
+ " print(f\"Error processing {image_name}: {e}\")\n",
+ "\n",
+ " results_df = pd.DataFrame(results)\n",
+ "\n",
+ " mean_proportion = results_df[\"proportion_correct\"].mean() * 100\n",
+ "\n",
+ " print(\"\\n\" + \"=\"*50)\n",
+ " print(\"EVALUATION RESULTS\")\n",
+ " print(\"=\"*50)\n",
+ " print(f\"Model: {model_name}\")\n",
+ " print(f\"Test folder: {TEST_FOLDER}\")\n",
+ " print(f\"Images evaluated: {len(results_df)}\")\n",
+ " print(f\"Confidence threshold: {confidence_threshold}\")\n",
+ " print(\"\\nAccuracy Metrics:\")\n",
+ " print(f\" Average proportion correct: {mean_proportion:.2f}%\") # This is the key metric\n",
+ " print(f\" Exact match percentage: {results_df['match'].mean() * 100:.2f}%\")\n",
+ " print(\"\\nVehicle Count Summary:\")\n",
+ " print(f\" Average ground truth count: {results_df['ground_truth_count'].mean():.2f}\")\n",
+ " print(f\" Average model detections: {results_df['detected_count'].mean():.2f}\")\n",
+ " print(\"\\n\" + \"=\"*90)\n",
+ " print(\"DETAILED RESULTS FOR ALL IMAGES\")\n",
+ " print(\"=\"*90)\n",
+ " print(\"| Image Name | Ground Truth | Detected | Proportion Correct | Difference |\")\n",
+ " print(\"|---------------|-------------|----------|-------------------|------------|\")\n",
+ "\n",
+ " for _, row in results_df.iterrows():\n",
+ " print(f\"| {row['image_name']:<13} | {row['ground_truth_count']:11d} | {row['detected_count']:8d} | {row['proportion_correct']*100:17.1f}% | {row['difference']:10d} |\")\n",
+ "\n",
+ " csv_path = os.path.join(output_dir, \"model_evaluation_results.csv\")\n",
+ " results_df.to_csv(csv_path, index=False)\n",
+ " print(f\"\\nFull results saved to {csv_path}\")\n",
+ " plt.figure(figsize=(12, 8))\n",
+ " sorted_df = results_df.sort_values('image_name')\n",
+ " x = range(len(sorted_df))\n",
+ " plt.bar(x, sorted_df[\"ground_truth_count\"], width=0.4,\n",
+ " align='edge', alpha=0.6, label=\"Ground Truth\", color='blue')\n",
+ " plt.bar([i+0.4 for i in x], sorted_df[\"detected_count\"], width=0.4,\n",
+ " align='edge', alpha=0.6, label=\"Model Detections\", color='red')\n",
+ " for i, row in enumerate(sorted_df.itertuples()):\n",
+ " plt.text(i+0.2, max(row.ground_truth_count, row.detected_count) + 0.5,\n",
+ " f\"{row.proportion_correct*100:.0f}%\", ha='center')\n",
+ " plt.xticks([i+0.2 for i in x], sorted_df[\"image_name\"], rotation=45, ha='right')\n",
+ " plt.xlabel(\"Image Name\")\n",
+ " plt.ylabel(\"Vehicle Count\")\n",
+ " plt.title(f\"Vehicle Detection Results - {clean_model_name}\\nAverage Accuracy: {mean_proportion:.1f}%\")\n",
+ " plt.legend()\n",
+ " plt.grid(True, axis='y', alpha=0.3)\n",
+ " plt.tight_layout()\n",
+ " chart_path = os.path.join(output_dir, \"summary_chart.png\")\n",
+ " plt.savefig(chart_path)\n",
+ " plt.close()\n",
+ "\n",
+ " summary_path = os.path.join(output_dir, \"evaluation_summary.txt\")\n",
+ " with open(summary_path, 'w') as f:\n",
+ " f.write(\"=\" * 50 + \"\\n\")\n",
+ " f.write(f\"EVALUATION SUMMARY FOR {model_name}\\n\")\n",
+ " f.write(\"=\" * 50 + \"\\n\\n\")\n",
+ " f.write(f\"Test folder: {TEST_FOLDER}\\n\")\n",
+ " f.write(f\"Images evaluated: {len(results_df)}\\n\")\n",
+ " f.write(f\"Confidence threshold: {confidence_threshold}\\n\\n\")\n",
+ " f.write(\"Accuracy Metrics:\\n\")\n",
+ " f.write(f\" Average proportion correct: {mean_proportion:.2f}%\\n\")\n",
+ " f.write(f\" Exact match percentage: {results_df['match'].mean() * 100:.2f}%\\n\\n\")\n",
+ " f.write(\"Vehicle Count Summary:\\n\")\n",
+ " f.write(f\" Average ground truth count: {results_df['ground_truth_count'].mean():.2f}\\n\")\n",
+ " f.write(f\" Average model detections: {results_df['detected_count'].mean():.2f}\\n\\n\")\n",
+ " f.write(\"Detailed Results for Each Image:\\n\")\n",
+ " f.write(\"-\" * 80 + \"\\n\")\n",
+ " f.write(f\"{'Image Name':<15} | {'Ground Truth':<12} | {'Detected':<8} | {'Proportion':<12} | {'Difference':<10}\\n\")\n",
+ " f.write(\"-\" * 80 + \"\\n\")\n",
+ "\n",
+ " for _, row in results_df.iterrows():\n",
+ " f.write(f\"{row['image_name']:<15} | {row['ground_truth_count']:12d} | {row['detected_count']:8d} | {row['proportion_correct']*100:11.1f}% | {row['difference']:10d}\\n\")\n",
+ "\n",
+ " print(f\"Summary saved to {summary_path}\")\n",
+ " print(\"\\n\" + \"=\"*50)\n",
+ " print(f\"OVERALL MODEL ACCURACY: {mean_proportion:.1f}%\")\n",
+ " print(\"=\"*50)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "**Evaluate trained DETR-RESNET-50 model**"
+ ],
+ "metadata": {
+ "id": "ZG10gI2CYzSu"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "evaluate_model(\"slliac/detr-group37-resnet-50\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000,
+ "referenced_widgets": [
+ "6107d4f0715642288c3c03c50beee316",
+ "ec422904a43848aab05e311fca10025a",
+ "81e7a294daab4f72a46f1f4af6536be0",
+ "5b6bcbc4060341c4827974c8978396b0",
+ "e0fb0a3d56974b0983b49d36f2b10de7",
+ "7bf77aad7b024822986fe47a9af9b130",
+ "14a900c5c32b44d9b516a13f14e9f2e8",
+ "07def4a5ffe542b696a5b95ef558c0ba",
+ "39393da4ba03492082dc17ccf3bcfe5b",
+ "29fe2211e4804dc1b1c91918e7f4604e",
+ "1ef5c4c6718c4c71ba227e1d5276e71c",
+ "4fe2f7011a3746f18c51a2b71a8f59f8",
+ "97af1b40b72d495b9e8e79a36f096f2e",
+ "52f8d17076d74eb3b2b1fd8b0dcba7da",
+ "c79895034172473a99e4b6b04df132f7",
+ "dcb31353518d428096bff4d1c07df751",
+ "3152f42062c948448ccc92bccbf61c59",
+ "9979a6b1bb36437697034544488375fb",
+ "9f6a75afac59405195145e53292746b7",
+ "ac9f0d7d79bf464a98b9e750f55b4604",
+ "831a9e4268794c909b69ec400be88582",
+ "dc92893b6f004001bbd297ce94232338"
+ ]
+ },
+ "id": "S79m3AyzYM4X",
+ "outputId": "5ba8dcec-c7bd-4951-bdad-1e8e76e77e61"
+ },
+ "execution_count": 20,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Starting evaluation of slliac/detr-group37-resnet-50\n",
+ "Results will be saved to: detr-group37-resnet-50_detection\n",
+ "Loading model: slliac/detr-group37-resnet-50\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "model.safetensors: 0%| | 0.00/167M [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "6107d4f0715642288c3c03c50beee316"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Found 7 test images with ground truth annotations.\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Evaluating images: 0%| | 0/7 [00:00, ?it/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "4fe2f7011a3746f18c51a2b71a8f59f8"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\n",
+ "Image: AID01112.jpeg\n",
+ " Ground truth count: 1\n",
+ " Model detected: 0\n",
+ " Detected types: {}\n",
+ " Proportion correct: 0.0%\n",
+ "\n",
+ "Image: AID01109.jpeg\n",
+ " Ground truth count: 4\n",
+ " Model detected: 1\n",
+ " Detected types: {'train': 1}\n",
+ " Proportion correct: 25.0%\n",
+ "\n",
+ "Image: AID01111.jpeg\n",
+ " Ground truth count: 4\n",
+ " Model detected: 4\n",
+ " Detected types: {'car': 3, 'truck': 1}\n",
+ " Proportion correct: 100.0%\n",
+ "\n",
+ "Image: AID01115.jpeg\n",
+ " Ground truth count: 4\n",
+ " Model detected: 5\n",
+ " Detected types: {'truck': 2, 'car': 3}\n",
+ " Proportion correct: 80.0%\n",
+ "\n",
+ "Image: AID01114.jpeg\n",
+ " Ground truth count: 1\n",
+ " Model detected: 3\n",
+ " Detected types: {'truck': 2, 'car': 1}\n",
+ " Proportion correct: 33.3%\n",
+ "\n",
+ "Image: H421F.jpeg\n",
+ " Ground truth count: 5\n",
+ " Model detected: 6\n",
+ " Detected types: {'car': 5, 'truck': 1}\n",
+ " Proportion correct: 83.3%\n",
+ "\n",
+ "Image: AID01108.jpeg\n",
+ " Ground truth count: 4\n",
+ " Model detected: 3\n",
+ " Detected types: {'truck': 1, 'bus': 2}\n",
+ " Proportion correct: 75.0%\n",
+ "\n",
+ "==================================================\n",
+ "EVALUATION RESULTS\n",
+ "==================================================\n",
+ "Model: slliac/detr-group37-resnet-50\n",
+ "Test folder: /content/Manual_Test\n",
+ "Images evaluated: 7\n",
+ "Confidence threshold: 0.7\n",
+ "\n",
+ "Accuracy Metrics:\n",
+ " Average proportion correct: 56.67%\n",
+ " Exact match percentage: 14.29%\n",
+ "\n",
+ "Vehicle Count Summary:\n",
+ " Average ground truth count: 3.29\n",
+ " Average model detections: 3.14\n",
+ "\n",
+ "==========================================================================================\n",
+ "DETAILED RESULTS FOR ALL IMAGES\n",
+ "==========================================================================================\n",
+ "| Image Name | Ground Truth | Detected | Proportion Correct | Difference |\n",
+ "|---------------|-------------|----------|-------------------|------------|\n",
+ "| AID01112.jpeg | 1 | 0 | 0.0% | -1 |\n",
+ "| AID01109.jpeg | 4 | 1 | 25.0% | -3 |\n",
+ "| AID01111.jpeg | 4 | 4 | 100.0% | 0 |\n",
+ "| AID01115.jpeg | 4 | 5 | 80.0% | 1 |\n",
+ "| AID01114.jpeg | 1 | 3 | 33.3% | 2 |\n",
+ "| H421F.jpeg | 5 | 6 | 83.3% | 1 |\n",
+ "| AID01108.jpeg | 4 | 3 | 75.0% | -1 |\n",
+ "\n",
+ "Full results saved to detr-group37-resnet-50_detection/model_evaluation_results.csv\n",
+ "Summary saved to detr-group37-resnet-50_detection/evaluation_summary.txt\n",
+ "\n",
+ "==================================================\n",
+ "OVERALL MODEL ACCURACY: 56.7%\n",
+ "==================================================\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "**Evaluate detr-resnet-101-dc5**"
+ ],
+ "metadata": {
+ "id": "sff5CPVEnE_C"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "evaluate_model(\"slliac/detr-group37-resnet-101-dc5\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000,
+ "referenced_widgets": [
+ "69d37fdd9fbe49818cf0c032b5b27fd1",
+ "5ce96376e4504a17bad94799e1810a4d",
+ "344dc01e7fb249bc83530f3c60df96c4",
+ "f8dbcb6bf44c4378aa5193ab34193175",
+ "fb07e3225be14a5e8e4b8d1c5c0fffdb",
+ "e266318ff4514a2b87dbb1f04afaff0c",
+ "b83156ed5fa04acabe5639723ebbe500",
+ "4a5f036414c44e8390a4b224437986ae",
+ "d328e1683a034f5ca9efec7c99d5096d",
+ "214910d8bccc485da5ec17af4d71aa35",
+ "f563a3ca10444a07a829075e3b9626b3"
+ ]
+ },
+ "id": "yAB7L4H9Yr9N",
+ "outputId": "f8f39bda-b5ca-4297-f032-e82e8c193322"
+ },
+ "execution_count": 21,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Starting evaluation of slliac/detr-group37-resnet-101-dc5\n",
+ "Results will be saved to: detr-group37-resnet-101-dc5_detection\n",
+ "Loading model: slliac/detr-group37-resnet-101-dc5\n",
+ "Found 7 test images with ground truth annotations.\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Evaluating images: 0%| | 0/7 [00:00, ?it/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "69d37fdd9fbe49818cf0c032b5b27fd1"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\n",
+ "Image: AID01112.jpeg\n",
+ " Ground truth count: 1\n",
+ " Model detected: 2\n",
+ " Detected types: {'train': 2}\n",
+ " Proportion correct: 50.0%\n",
+ "\n",
+ "Image: AID01109.jpeg\n",
+ " Ground truth count: 4\n",
+ " Model detected: 4\n",
+ " Detected types: {'train': 1, 'car': 3}\n",
+ " Proportion correct: 100.0%\n",
+ "\n",
+ "Image: AID01111.jpeg\n",
+ " Ground truth count: 4\n",
+ " Model detected: 5\n",
+ " Detected types: {'car': 3, 'truck': 2}\n",
+ " Proportion correct: 80.0%\n",
+ "\n",
+ "Image: AID01115.jpeg\n",
+ " Ground truth count: 4\n",
+ " Model detected: 7\n",
+ " Detected types: {'car': 4, 'truck': 3}\n",
+ " Proportion correct: 57.1%\n",
+ "\n",
+ "Image: AID01114.jpeg\n",
+ " Ground truth count: 1\n",
+ " Model detected: 4\n",
+ " Detected types: {'train': 1, 'car': 2, 'truck': 1}\n",
+ " Proportion correct: 25.0%\n",
+ "\n",
+ "Image: H421F.jpeg\n",
+ " Ground truth count: 5\n",
+ " Model detected: 6\n",
+ " Detected types: {'car': 5, 'truck': 1}\n",
+ " Proportion correct: 83.3%\n",
+ "\n",
+ "Image: AID01108.jpeg\n",
+ " Ground truth count: 4\n",
+ " Model detected: 5\n",
+ " Detected types: {'bus': 3, 'truck': 2}\n",
+ " Proportion correct: 80.0%\n",
+ "\n",
+ "==================================================\n",
+ "EVALUATION RESULTS\n",
+ "==================================================\n",
+ "Model: slliac/detr-group37-resnet-101-dc5\n",
+ "Test folder: /content/Manual_Test\n",
+ "Images evaluated: 7\n",
+ "Confidence threshold: 0.7\n",
+ "\n",
+ "Accuracy Metrics:\n",
+ " Average proportion correct: 67.93%\n",
+ " Exact match percentage: 14.29%\n",
+ "\n",
+ "Vehicle Count Summary:\n",
+ " Average ground truth count: 3.29\n",
+ " Average model detections: 4.71\n",
+ "\n",
+ "==========================================================================================\n",
+ "DETAILED RESULTS FOR ALL IMAGES\n",
+ "==========================================================================================\n",
+ "| Image Name | Ground Truth | Detected | Proportion Correct | Difference |\n",
+ "|---------------|-------------|----------|-------------------|------------|\n",
+ "| AID01112.jpeg | 1 | 2 | 50.0% | 1 |\n",
+ "| AID01109.jpeg | 4 | 4 | 100.0% | 0 |\n",
+ "| AID01111.jpeg | 4 | 5 | 80.0% | 1 |\n",
+ "| AID01115.jpeg | 4 | 7 | 57.1% | 3 |\n",
+ "| AID01114.jpeg | 1 | 4 | 25.0% | 3 |\n",
+ "| H421F.jpeg | 5 | 6 | 83.3% | 1 |\n",
+ "| AID01108.jpeg | 4 | 5 | 80.0% | 1 |\n",
+ "\n",
+ "Full results saved to detr-group37-resnet-101-dc5_detection/model_evaluation_results.csv\n",
+ "Summary saved to detr-group37-resnet-101-dc5_detection/evaluation_summary.txt\n",
+ "\n",
+ "==================================================\n",
+ "OVERALL MODEL ACCURACY: 67.9%\n",
+ "==================================================\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "evaluate_model(\"slliac/detr-group37-liaujianjie-resnet-50\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000,
+ "referenced_widgets": [
+ "3a79807a1fa14b5a9de05690d285622c",
+ "398acb10698a4e0fadf3017682ef796b",
+ "bf89d3fe1ba943a3bbb5166e49c1e807",
+ "b7822d966d4c45a5af8dd3b90c140d49",
+ "15dff91017dc4a0a89792fd93bf2a3d7",
+ "be4e498aff22499eb8513aa54b41ae04",
+ "9e4e2e6fc6a54b3692cfd9d06c882d05",
+ "6bd35418c3c542b4bc459216bf02ab24",
+ "d540772be39a45f99332cfc0d0dcb8b2",
+ "612d81e1a1f8470ca8cd4590154d6537",
+ "8b8a367b70ac45abb3e142f7b60c81fe"
+ ]
+ },
+ "id": "buREZvlAnm7V",
+ "outputId": "f61bf186-4908-4773-bd87-b7533063bde5"
+ },
+ "execution_count": 22,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Starting evaluation of slliac/detr-group37-liaujianjie-resnet-50\n",
+ "Results will be saved to: detr-group37-liaujianjie-resnet-50_detection\n",
+ "Loading model: slliac/detr-group37-liaujianjie-resnet-50\n",
+ "Found 7 test images with ground truth annotations.\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Evaluating images: 0%| | 0/7 [00:00, ?it/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "3a79807a1fa14b5a9de05690d285622c"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\n",
+ "Image: AID01112.jpeg\n",
+ " Ground truth count: 1\n",
+ " Model detected: 1\n",
+ " Detected types: {'train': 1}\n",
+ " Proportion correct: 100.0%\n",
+ "\n",
+ "Image: AID01109.jpeg\n",
+ " Ground truth count: 4\n",
+ " Model detected: 4\n",
+ " Detected types: {'car': 4}\n",
+ " Proportion correct: 100.0%\n",
+ "\n",
+ "Image: AID01111.jpeg\n",
+ " Ground truth count: 4\n",
+ " Model detected: 7\n",
+ " Detected types: {'truck': 2, 'car': 5}\n",
+ " Proportion correct: 57.1%\n",
+ "\n",
+ "Image: AID01115.jpeg\n",
+ " Ground truth count: 4\n",
+ " Model detected: 4\n",
+ " Detected types: {'car': 3, 'truck': 1}\n",
+ " Proportion correct: 100.0%\n",
+ "\n",
+ "Image: AID01114.jpeg\n",
+ " Ground truth count: 1\n",
+ " Model detected: 2\n",
+ " Detected types: {'car': 1, 'truck': 1}\n",
+ " Proportion correct: 50.0%\n",
+ "\n",
+ "Image: H421F.jpeg\n",
+ " Ground truth count: 5\n",
+ " Model detected: 8\n",
+ " Detected types: {'car': 8}\n",
+ " Proportion correct: 62.5%\n",
+ "\n",
+ "Image: AID01108.jpeg\n",
+ " Ground truth count: 4\n",
+ " Model detected: 2\n",
+ " Detected types: {'bus': 2}\n",
+ " Proportion correct: 50.0%\n",
+ "\n",
+ "==================================================\n",
+ "EVALUATION RESULTS\n",
+ "==================================================\n",
+ "Model: slliac/detr-group37-liaujianjie-resnet-50\n",
+ "Test folder: /content/Manual_Test\n",
+ "Images evaluated: 7\n",
+ "Confidence threshold: 0.7\n",
+ "\n",
+ "Accuracy Metrics:\n",
+ " Average proportion correct: 74.23%\n",
+ " Exact match percentage: 42.86%\n",
+ "\n",
+ "Vehicle Count Summary:\n",
+ " Average ground truth count: 3.29\n",
+ " Average model detections: 4.00\n",
+ "\n",
+ "==========================================================================================\n",
+ "DETAILED RESULTS FOR ALL IMAGES\n",
+ "==========================================================================================\n",
+ "| Image Name | Ground Truth | Detected | Proportion Correct | Difference |\n",
+ "|---------------|-------------|----------|-------------------|------------|\n",
+ "| AID01112.jpeg | 1 | 1 | 100.0% | 0 |\n",
+ "| AID01109.jpeg | 4 | 4 | 100.0% | 0 |\n",
+ "| AID01111.jpeg | 4 | 7 | 57.1% | 3 |\n",
+ "| AID01115.jpeg | 4 | 4 | 100.0% | 0 |\n",
+ "| AID01114.jpeg | 1 | 2 | 50.0% | 1 |\n",
+ "| H421F.jpeg | 5 | 8 | 62.5% | 3 |\n",
+ "| AID01108.jpeg | 4 | 2 | 50.0% | -2 |\n",
+ "\n",
+ "Full results saved to detr-group37-liaujianjie-resnet-50_detection/model_evaluation_results.csv\n",
+ "Summary saved to detr-group37-liaujianjie-resnet-50_detection/evaluation_summary.txt\n",
+ "\n",
+ "==================================================\n",
+ "OVERALL MODEL ACCURACY: 74.2%\n",
+ "==================================================\n"
+ ]
+ }
+ ]
+ }
+ ]
+}