{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"machine_shape": "hm",
"gpuType": "T4"
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU",
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"246176084cc947b2ab1d0578969ee64a": {
"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_95b728c39e6d47009c2245e3303e906d",
"IPY_MODEL_e761286cc25f4b949c5b9927d3ce6776",
"IPY_MODEL_79f59168e9994ea184355ce5495ec854"
],
"layout": "IPY_MODEL_c5a176ba8ff0409aafe3b21f01409be5"
}
},
"95b728c39e6d47009c2245e3303e906d": {
"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_cb5f172ec47049f6bc6247071d5432c3",
"placeholder": "",
"style": "IPY_MODEL_820788b0361043f59ef383ce013434c3",
"value": "test-00000-of-00001.parquet: 100%"
}
},
"e761286cc25f4b949c5b9927d3ce6776": {
"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_e795f3968e77440285263f98e742ef92",
"max": 241419,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_7455efb7f31d44d98d1541e13eddda41",
"value": 241419
}
},
"79f59168e9994ea184355ce5495ec854": {
"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_23029dadba52441e9855a4db01bd5620",
"placeholder": "",
"style": "IPY_MODEL_df67467d297a4c429e30c0070f3afde2",
"value": " 241k/241k [00:00<00:00, 4.48MB/s]"
}
},
"c5a176ba8ff0409aafe3b21f01409be5": {
"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
}
},
"cb5f172ec47049f6bc6247071d5432c3": {
"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
}
},
"820788b0361043f59ef383ce013434c3": {
"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": ""
}
},
"e795f3968e77440285263f98e742ef92": {
"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
}
},
"7455efb7f31d44d98d1541e13eddda41": {
"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": ""
}
},
"23029dadba52441e9855a4db01bd5620": {
"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
}
},
"df67467d297a4c429e30c0070f3afde2": {
"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": ""
}
},
"dba9daa6c2b147ea8587b0b6617645ce": {
"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_1b063cf9e101422fa97970c882e32613",
"IPY_MODEL_61b8f2567fb540f8a19a3593710bb029",
"IPY_MODEL_ddc487f89cd24abe98bcf01abd1192a3"
],
"layout": "IPY_MODEL_310cb76abaa945ceb9c20f02d417f3b2"
}
},
"1b063cf9e101422fa97970c882e32613": {
"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_e382eb4e53044386b8515a739f3567c2",
"placeholder": "",
"style": "IPY_MODEL_619cbc750b1341c5a585ba2eb81a3242",
"value": "train-00000-of-00001.parquet: 100%"
}
},
"61b8f2567fb540f8a19a3593710bb029": {
"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_9859f5ba1fc8444d82a4a9a274532344",
"max": 34498539,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_724f3154d5be483eb0cd4513c151f2e4",
"value": 34498539
}
},
"ddc487f89cd24abe98bcf01abd1192a3": {
"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_05cedd76de7a421c981d6f72c26cce83",
"placeholder": "",
"style": "IPY_MODEL_bf381116d5b64267a372b8b9ef0aaa79",
"value": " 34.5M/34.5M [00:00<00:00, 144MB/s]"
}
},
"310cb76abaa945ceb9c20f02d417f3b2": {
"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
}
},
"e382eb4e53044386b8515a739f3567c2": {
"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
}
},
"619cbc750b1341c5a585ba2eb81a3242": {
"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": ""
}
},
"9859f5ba1fc8444d82a4a9a274532344": {
"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
}
},
"724f3154d5be483eb0cd4513c151f2e4": {
"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": ""
}
},
"05cedd76de7a421c981d6f72c26cce83": {
"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
}
},
"bf381116d5b64267a372b8b9ef0aaa79": {
"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": ""
}
},
"e5909528ff3b48b790c81688f93a8693": {
"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_4fa6b200c98a4aaba56f913fac7fd170",
"IPY_MODEL_77dc23fc80944f3fb69455cea9e0bbcd",
"IPY_MODEL_6e7777402a184da4953b54e6364140c0"
],
"layout": "IPY_MODEL_a777e6699432491fb2ad462d9322fe1a"
}
},
"4fa6b200c98a4aaba56f913fac7fd170": {
"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_0d640c924bd34d3ab84c25bb9acab65b",
"placeholder": "",
"style": "IPY_MODEL_ee6b1096453546a4a63ee1fe0372b16b",
"value": "validation-00000-of-00001.parquet: 100%"
}
},
"77dc23fc80944f3fb69455cea9e0bbcd": {
"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_e8b2cb98bde749328fd5433a92b6f500",
"max": 248901,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_96b23b035a9e4c1482bf2ac1282ac1dc",
"value": 248901
}
},
"6e7777402a184da4953b54e6364140c0": {
"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_82ef6db544854961866f9181fbd65c06",
"placeholder": "",
"style": "IPY_MODEL_14f2fc9ce76447aaa35d7a0a3b18e68a",
"value": " 249k/249k [00:00<00:00, 17.9MB/s]"
}
},
"a777e6699432491fb2ad462d9322fe1a": {
"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
}
},
"0d640c924bd34d3ab84c25bb9acab65b": {
"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
}
},
"ee6b1096453546a4a63ee1fe0372b16b": {
"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": ""
}
},
"e8b2cb98bde749328fd5433a92b6f500": {
"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
}
},
"96b23b035a9e4c1482bf2ac1282ac1dc": {
"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": ""
}
},
"82ef6db544854961866f9181fbd65c06": {
"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
}
},
"14f2fc9ce76447aaa35d7a0a3b18e68a": {
"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": ""
}
},
"5efa67b4e1264b0d97403635fac5aca7": {
"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_d16f43433220429eae0fe5f6fedfee28",
"IPY_MODEL_8cc60d94844c4cd58e664bf7514b56f7",
"IPY_MODEL_553f6763b6754cbc83407ae7c3ae9314"
],
"layout": "IPY_MODEL_b4969b629ffc49b8aae6893852b6983e"
}
},
"d16f43433220429eae0fe5f6fedfee28": {
"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_f2d9cb5e854a492ca895a815d6d3cb6a",
"placeholder": "",
"style": "IPY_MODEL_722ad38088ba41fcbdd2256ca83aea1c",
"value": "Generating test split: 100%"
}
},
"8cc60d94844c4cd58e664bf7514b56f7": {
"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_fbbb632c37654facb118bf7446d0f0e9",
"max": 2000,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_62f327c822d848cc883dc048c1607748",
"value": 2000
}
},
"553f6763b6754cbc83407ae7c3ae9314": {
"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_772013c2ebcd44ff9fcb794cf355cd6f",
"placeholder": "",
"style": "IPY_MODEL_264c684e3a974acda5c04d83106f8802",
"value": " 2000/2000 [00:00<00:00, 43219.31 examples/s]"
}
},
"b4969b629ffc49b8aae6893852b6983e": {
"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
}
},
"f2d9cb5e854a492ca895a815d6d3cb6a": {
"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
}
},
"722ad38088ba41fcbdd2256ca83aea1c": {
"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": ""
}
},
"fbbb632c37654facb118bf7446d0f0e9": {
"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
}
},
"62f327c822d848cc883dc048c1607748": {
"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": ""
}
},
"772013c2ebcd44ff9fcb794cf355cd6f": {
"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
}
},
"264c684e3a974acda5c04d83106f8802": {
"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": ""
}
},
"f3398dc2a2db4223aedb659e94a86355": {
"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_97f82b4bc0584c4ab2e44de2b554c4db",
"IPY_MODEL_5753aa4fef0047d98c4d4dec0c9dc624",
"IPY_MODEL_24a4d6e1d8ce44d4a55076f84ee02e6c"
],
"layout": "IPY_MODEL_6585a79f8cc84e85bafc762f9a6e10b7"
}
},
"97f82b4bc0584c4ab2e44de2b554c4db": {
"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_29df41aecf4d44b2b52682fa3f6b4790",
"placeholder": "",
"style": "IPY_MODEL_f9916eb4a18c4685b9b0f9119bcd0ba6",
"value": "Generating train split: 100%"
}
},
"5753aa4fef0047d98c4d4dec0c9dc624": {
"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_37e69ea25ee24d4d8d21b97d4850ef43",
"max": 262089,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_bbcd0ea3f7384734afe0339912b014a6",
"value": 262089
}
},
"24a4d6e1d8ce44d4a55076f84ee02e6c": {
"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_0fd06c5e84004164899284e9407a641d",
"placeholder": "",
"style": "IPY_MODEL_751c65c2a61c47f389c7d055d7551b5a",
"value": " 262089/262089 [00:00<00:00, 765973.85 examples/s]"
}
},
"6585a79f8cc84e85bafc762f9a6e10b7": {
"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
}
},
"29df41aecf4d44b2b52682fa3f6b4790": {
"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
}
},
"f9916eb4a18c4685b9b0f9119bcd0ba6": {
"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": ""
}
},
"37e69ea25ee24d4d8d21b97d4850ef43": {
"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
}
},
"bbcd0ea3f7384734afe0339912b014a6": {
"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": ""
}
},
"0fd06c5e84004164899284e9407a641d": {
"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
}
},
"751c65c2a61c47f389c7d055d7551b5a": {
"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": ""
}
},
"dea5454d32214338acc21de4fd4f6a4d": {
"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_23a7097a14bf4525a4ba078bc0913b61",
"IPY_MODEL_6c2f4929504a4f45a5235efa2e083537",
"IPY_MODEL_55cd27dbcbbc4899a80763d018f6798f"
],
"layout": "IPY_MODEL_04f6276dc0fa43898f2b0ec588a02371"
}
},
"23a7097a14bf4525a4ba078bc0913b61": {
"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_1c3d6cabc87a46bdaa8be6851a54e433",
"placeholder": "",
"style": "IPY_MODEL_297f7c0084c44862bc2161a41797e0e5",
"value": "Generating validation split: 100%"
}
},
"6c2f4929504a4f45a5235efa2e083537": {
"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_906505620222432e8904f54c6bdaf295",
"max": 2000,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_c94be0b374a8440db4397841345e33ad",
"value": 2000
}
},
"55cd27dbcbbc4899a80763d018f6798f": {
"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_d8257308ff3e48478c40607df0efbc6b",
"placeholder": "",
"style": "IPY_MODEL_a40596352e3a4e88aa94109b64931fb3",
"value": " 2000/2000 [00:00<00:00, 110866.57 examples/s]"
}
},
"04f6276dc0fa43898f2b0ec588a02371": {
"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
}
},
"1c3d6cabc87a46bdaa8be6851a54e433": {
"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
}
},
"297f7c0084c44862bc2161a41797e0e5": {
"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": ""
}
},
"906505620222432e8904f54c6bdaf295": {
"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
}
},
"c94be0b374a8440db4397841345e33ad": {
"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": ""
}
},
"d8257308ff3e48478c40607df0efbc6b": {
"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
}
},
"a40596352e3a4e88aa94109b64931fb3": {
"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": ""
}
},
"2ebe86e7cd134fcaa7ba44e990ff0307": {
"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_b3afaff2118840119216cffcc6beb063",
"IPY_MODEL_4c686dc2c35344b1ae28c75a44667b07",
"IPY_MODEL_10dc17bd3e054c78867d6b08be2aad3c"
],
"layout": "IPY_MODEL_a4db5afdb0c24a65b7883d8e60be1168"
}
},
"b3afaff2118840119216cffcc6beb063": {
"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_1df3bbc92c8245d6bf1ad4b701ad40be",
"placeholder": "",
"style": "IPY_MODEL_3a769b0c59d14bc08211e199207176cf",
"value": "tokenizer_config.json: 100%"
}
},
"4c686dc2c35344b1ae28c75a44667b07": {
"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_0022387ca48046f9b0357572419709bb",
"max": 48,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_a90cfc4d3ede48c69801d804feb2949d",
"value": 48
}
},
"10dc17bd3e054c78867d6b08be2aad3c": {
"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_d94c6a121c994d54ace2fefc05addc77",
"placeholder": "",
"style": "IPY_MODEL_a1f599b5e0834fe78e3b43d3e08ac090",
"value": " 48.0/48.0 [00:00<00:00, 3.91kB/s]"
}
},
"a4db5afdb0c24a65b7883d8e60be1168": {
"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
}
},
"1df3bbc92c8245d6bf1ad4b701ad40be": {
"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
}
},
"3a769b0c59d14bc08211e199207176cf": {
"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": ""
}
},
"0022387ca48046f9b0357572419709bb": {
"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
}
},
"a90cfc4d3ede48c69801d804feb2949d": {
"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": ""
}
},
"d94c6a121c994d54ace2fefc05addc77": {
"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
}
},
"a1f599b5e0834fe78e3b43d3e08ac090": {
"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": ""
}
},
"869711aa139b481492d198979507a686": {
"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_7ecd542d2b8a4361ac3756804d207a71",
"IPY_MODEL_2fe542eaeed14867bc1a369da94fcc1b",
"IPY_MODEL_5d4a885b05a44999aa359ccb7f30e9f6"
],
"layout": "IPY_MODEL_18a50bdb072d4347932e64a9c29f5f9b"
}
},
"7ecd542d2b8a4361ac3756804d207a71": {
"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_1bdbc41957d04cbeac0ce9cf34b0d9c9",
"placeholder": "",
"style": "IPY_MODEL_db33a1f6620a44ccb8be872b90005ff5",
"value": "config.json: 100%"
}
},
"2fe542eaeed14867bc1a369da94fcc1b": {
"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_87adf594c9e345218d59298c2cdc39ea",
"max": 570,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_30cf1fd874d447b1b99b9f9cf32b2eab",
"value": 570
}
},
"5d4a885b05a44999aa359ccb7f30e9f6": {
"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_0010eb79ba5b4785b54e71d99e1676d4",
"placeholder": "",
"style": "IPY_MODEL_7a646f01e7d449f0b512008f2bf5daae",
"value": " 570/570 [00:00<00:00, 50.7kB/s]"
}
},
"18a50bdb072d4347932e64a9c29f5f9b": {
"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
}
},
"1bdbc41957d04cbeac0ce9cf34b0d9c9": {
"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
}
},
"db33a1f6620a44ccb8be872b90005ff5": {
"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": ""
}
},
"87adf594c9e345218d59298c2cdc39ea": {
"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
}
},
"30cf1fd874d447b1b99b9f9cf32b2eab": {
"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": ""
}
},
"0010eb79ba5b4785b54e71d99e1676d4": {
"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
}
},
"7a646f01e7d449f0b512008f2bf5daae": {
"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": ""
}
},
"6c496b9f273e462a9003ac61e77077ca": {
"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_7af67f0d7f644b8e86cafd70f0fb2932",
"IPY_MODEL_2e875db7df7f4dc8907b0773335f2520",
"IPY_MODEL_50d192e606724d18ae3103fb0ee81552"
],
"layout": "IPY_MODEL_b5a47157118e4c6ba7e0503bde4f6d69"
}
},
"7af67f0d7f644b8e86cafd70f0fb2932": {
"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_ea958ededd4f429ba3753e6e0f1f7b50",
"placeholder": "",
"style": "IPY_MODEL_f9f09499f22d4f71a3882bbcc707e1a4",
"value": "vocab.txt: 100%"
}
},
"2e875db7df7f4dc8907b0773335f2520": {
"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_e9967ffed5a540d7a9112af0f506ab3f",
"max": 231508,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_4f2fa25deaba44e6a223b90d9264f0a7",
"value": 231508
}
},
"50d192e606724d18ae3103fb0ee81552": {
"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_79453a22f9d649d3b9980d3290219606",
"placeholder": "",
"style": "IPY_MODEL_047193aaaeff4fc393347fa403c8d4a6",
"value": " 232k/232k [00:00<00:00, 8.65MB/s]"
}
},
"b5a47157118e4c6ba7e0503bde4f6d69": {
"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
}
},
"ea958ededd4f429ba3753e6e0f1f7b50": {
"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
}
},
"f9f09499f22d4f71a3882bbcc707e1a4": {
"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": ""
}
},
"e9967ffed5a540d7a9112af0f506ab3f": {
"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
}
},
"4f2fa25deaba44e6a223b90d9264f0a7": {
"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": ""
}
},
"79453a22f9d649d3b9980d3290219606": {
"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
}
},
"047193aaaeff4fc393347fa403c8d4a6": {
"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": ""
}
},
"3f949734eb7d4ad397e3680ce43ff7bc": {
"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_7fe03a86ebb9400095dbd0634b39d029",
"IPY_MODEL_645b9fe279e3441c82dc39a8b7c50d7e",
"IPY_MODEL_207466edef5843bcb17d49e696789dee"
],
"layout": "IPY_MODEL_0adcc6fd30dc427ebe39437e9931dc2c"
}
},
"7fe03a86ebb9400095dbd0634b39d029": {
"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_9b38c9da5c7347d6b181686494e051a6",
"placeholder": "",
"style": "IPY_MODEL_0c6490af3f37485aba4327b127486efa",
"value": "tokenizer.json: 100%"
}
},
"645b9fe279e3441c82dc39a8b7c50d7e": {
"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_5887dc57ee014660a7660ffab33cddd5",
"max": 466062,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_1eeaf64efef547fc987de8854b1e14ae",
"value": 466062
}
},
"207466edef5843bcb17d49e696789dee": {
"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_de499f6b8b834c26949a9767583e4a6d",
"placeholder": "",
"style": "IPY_MODEL_e1d7d75b15884662877b7948b2780a8f",
"value": " 466k/466k [00:00<00:00, 27.4MB/s]"
}
},
"0adcc6fd30dc427ebe39437e9931dc2c": {
"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
}
},
"9b38c9da5c7347d6b181686494e051a6": {
"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
}
},
"0c6490af3f37485aba4327b127486efa": {
"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": ""
}
},
"5887dc57ee014660a7660ffab33cddd5": {
"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
}
},
"1eeaf64efef547fc987de8854b1e14ae": {
"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": ""
}
},
"de499f6b8b834c26949a9767583e4a6d": {
"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
}
},
"e1d7d75b15884662877b7948b2780a8f": {
"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": ""
}
},
"8503e21e1d3244fbb0af09c0785abf62": {
"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_f47ccbf9cf8b4131b710f582eec829f4",
"IPY_MODEL_4217c7fb3c6042c8956912fa66c92a2e",
"IPY_MODEL_77a03d03c71942bc936a588c89e7fc4e"
],
"layout": "IPY_MODEL_22bf4881d3244c78bdba1d70b9be629e"
}
},
"f47ccbf9cf8b4131b710f582eec829f4": {
"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_10009388e4c74ec1b8dc07aa89feb600",
"placeholder": "",
"style": "IPY_MODEL_35b907ae524f42e4b8b97703b2fe475a",
"value": "Map: 100%"
}
},
"4217c7fb3c6042c8956912fa66c92a2e": {
"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_e07c71f1497a4701aaea9bf95a33ab9a",
"max": 262089,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_7e224845cc3240cbad4ef3fb2bb7fa4d",
"value": 262089
}
},
"77a03d03c71942bc936a588c89e7fc4e": {
"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_ecc9da36957041f58a0e8a56f7366789",
"placeholder": "",
"style": "IPY_MODEL_29545b8e25ce478088555446ec29b00b",
"value": " 262089/262089 [00:59<00:00, 3951.18 examples/s]"
}
},
"22bf4881d3244c78bdba1d70b9be629e": {
"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
}
},
"10009388e4c74ec1b8dc07aa89feb600": {
"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
}
},
"35b907ae524f42e4b8b97703b2fe475a": {
"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": ""
}
},
"e07c71f1497a4701aaea9bf95a33ab9a": {
"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
}
},
"7e224845cc3240cbad4ef3fb2bb7fa4d": {
"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": ""
}
},
"ecc9da36957041f58a0e8a56f7366789": {
"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
}
},
"29545b8e25ce478088555446ec29b00b": {
"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": ""
}
},
"d1d33a6f8cbe4ab59692d7f7ba5760e8": {
"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_7545fd9014c548b4b98caee6f369ed4c",
"IPY_MODEL_eb0a4622300c4f39b3984c1b9bd17717",
"IPY_MODEL_4b84090398fe44829a31e23643f3dddb"
],
"layout": "IPY_MODEL_51f56cc8980c489684c41caa63a75942"
}
},
"7545fd9014c548b4b98caee6f369ed4c": {
"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_eaf68041c49f4141896d28bd3dfd9dfa",
"placeholder": "",
"style": "IPY_MODEL_d707a4383b9e446b985610d2ce154f21",
"value": "Map: 100%"
}
},
"eb0a4622300c4f39b3984c1b9bd17717": {
"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_43e5dda1a3294efa8b80d6299b0c9876",
"max": 2000,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_2799f6dab1694b44b8789475301714a8",
"value": 2000
}
},
"4b84090398fe44829a31e23643f3dddb": {
"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_38b6e9f96dbf42c7afae43dd51a9c6ea",
"placeholder": "",
"style": "IPY_MODEL_28752990c8a24a96ac3d54a0cb83cba2",
"value": " 2000/2000 [00:00<00:00, 4536.84 examples/s]"
}
},
"51f56cc8980c489684c41caa63a75942": {
"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
}
},
"eaf68041c49f4141896d28bd3dfd9dfa": {
"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
}
},
"d707a4383b9e446b985610d2ce154f21": {
"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": ""
}
},
"43e5dda1a3294efa8b80d6299b0c9876": {
"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
}
},
"2799f6dab1694b44b8789475301714a8": {
"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": ""
}
},
"38b6e9f96dbf42c7afae43dd51a9c6ea": {
"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
}
},
"28752990c8a24a96ac3d54a0cb83cba2": {
"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": ""
}
},
"646b009b73a54a9597d987a8f781bad5": {
"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_44db5aae47354e6b8e2e3dd578f21ff2",
"IPY_MODEL_1825a41cfff94ad89fc07127c60d2484",
"IPY_MODEL_5ea51c79dffb46efa9e9bd322df4f785"
],
"layout": "IPY_MODEL_13aa1436bdd346c3bbb0d68b6d3ad8bb"
}
},
"44db5aae47354e6b8e2e3dd578f21ff2": {
"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_c41cfbe8e6fc4412bb36cafe21ac7050",
"placeholder": "",
"style": "IPY_MODEL_3878b286eef74dc0b98b9dc8e3c05ba8",
"value": "Map: 100%"
}
},
"1825a41cfff94ad89fc07127c60d2484": {
"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_24aae7067a3b435697523018c6640eb9",
"max": 2000,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_c58a0f0addbe487e88c9dfb38a9168a9",
"value": 2000
}
},
"5ea51c79dffb46efa9e9bd322df4f785": {
"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_23535ef3c09f40a682a4fd87f3f516de",
"placeholder": "",
"style": "IPY_MODEL_dafc342e51ce44e488b6471ff3fc46ca",
"value": " 2000/2000 [00:00<00:00, 4532.35 examples/s]"
}
},
"13aa1436bdd346c3bbb0d68b6d3ad8bb": {
"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
}
},
"c41cfbe8e6fc4412bb36cafe21ac7050": {
"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
}
},
"3878b286eef74dc0b98b9dc8e3c05ba8": {
"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": ""
}
},
"24aae7067a3b435697523018c6640eb9": {
"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
}
},
"c58a0f0addbe487e88c9dfb38a9168a9": {
"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": ""
}
},
"23535ef3c09f40a682a4fd87f3f516de": {
"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
}
},
"dafc342e51ce44e488b6471ff3fc46ca": {
"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": ""
}
}
}
}
},
"cells": [
{
"cell_type": "code",
"source": [
"!pip install datasets"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "FMdhq9ynfdM0",
"outputId": "1be6e0e8-d6b6-4bb6-a00a-fe8bda4cedf1"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting datasets\n",
" Downloading datasets-3.1.0-py3-none-any.whl.metadata (20 kB)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from datasets) (3.16.1)\n",
"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from datasets) (1.26.4)\n",
"Requirement already satisfied: pyarrow>=15.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (17.0.0)\n",
"Collecting dill<0.3.9,>=0.3.0 (from datasets)\n",
" Downloading dill-0.3.8-py3-none-any.whl.metadata (10 kB)\n",
"Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from datasets) (2.2.2)\n",
"Requirement already satisfied: requests>=2.32.2 in /usr/local/lib/python3.10/dist-packages (from datasets) (2.32.3)\n",
"Requirement already satisfied: tqdm>=4.66.3 in /usr/local/lib/python3.10/dist-packages (from datasets) (4.66.6)\n",
"Collecting xxhash (from datasets)\n",
" Downloading xxhash-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (12 kB)\n",
"Collecting multiprocess<0.70.17 (from datasets)\n",
" Downloading multiprocess-0.70.16-py310-none-any.whl.metadata (7.2 kB)\n",
"Collecting fsspec<=2024.9.0,>=2023.1.0 (from fsspec[http]<=2024.9.0,>=2023.1.0->datasets)\n",
" Downloading fsspec-2024.9.0-py3-none-any.whl.metadata (11 kB)\n",
"Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from datasets) (3.10.10)\n",
"Requirement already satisfied: huggingface-hub>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (0.26.2)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from datasets) (24.2)\n",
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from datasets) (6.0.2)\n",
"Requirement already satisfied: aiohappyeyeballs>=2.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (2.4.3)\n",
"Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (1.3.1)\n",
"Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (24.2.0)\n",
"Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (1.5.0)\n",
"Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (6.1.0)\n",
"Requirement already satisfied: yarl<2.0,>=1.12.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (1.17.1)\n",
"Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (4.0.3)\n",
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.23.0->datasets) (4.12.2)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets) (3.4.0)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets) (3.10)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets) (2.2.3)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.32.2->datasets) (2024.8.30)\n",
"Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2.8.2)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2024.2)\n",
"Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2024.2)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas->datasets) (1.16.0)\n",
"Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from yarl<2.0,>=1.12.0->aiohttp->datasets) (0.2.0)\n",
"Downloading datasets-3.1.0-py3-none-any.whl (480 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m480.6/480.6 kB\u001b[0m \u001b[31m9.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading dill-0.3.8-py3-none-any.whl (116 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m116.3/116.3 kB\u001b[0m \u001b[31m9.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading fsspec-2024.9.0-py3-none-any.whl (179 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m179.3/179.3 kB\u001b[0m \u001b[31m16.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading multiprocess-0.70.16-py310-none-any.whl (134 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.8/134.8 kB\u001b[0m \u001b[31m11.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading xxhash-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (194 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m194.1/194.1 kB\u001b[0m \u001b[31m17.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hInstalling collected packages: xxhash, fsspec, dill, multiprocess, datasets\n",
" Attempting uninstall: fsspec\n",
" Found existing installation: fsspec 2024.10.0\n",
" Uninstalling fsspec-2024.10.0:\n",
" Successfully uninstalled fsspec-2024.10.0\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"gcsfs 2024.10.0 requires fsspec==2024.10.0, but you have fsspec 2024.9.0 which is incompatible.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed datasets-3.1.0 dill-0.3.8 fsspec-2024.9.0 multiprocess-0.70.16 xxhash-3.5.0\n"
]
}
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 433,
"referenced_widgets": [
"246176084cc947b2ab1d0578969ee64a",
"95b728c39e6d47009c2245e3303e906d",
"e761286cc25f4b949c5b9927d3ce6776",
"79f59168e9994ea184355ce5495ec854",
"c5a176ba8ff0409aafe3b21f01409be5",
"cb5f172ec47049f6bc6247071d5432c3",
"820788b0361043f59ef383ce013434c3",
"e795f3968e77440285263f98e742ef92",
"7455efb7f31d44d98d1541e13eddda41",
"23029dadba52441e9855a4db01bd5620",
"df67467d297a4c429e30c0070f3afde2",
"dba9daa6c2b147ea8587b0b6617645ce",
"1b063cf9e101422fa97970c882e32613",
"61b8f2567fb540f8a19a3593710bb029",
"ddc487f89cd24abe98bcf01abd1192a3",
"310cb76abaa945ceb9c20f02d417f3b2",
"e382eb4e53044386b8515a739f3567c2",
"619cbc750b1341c5a585ba2eb81a3242",
"9859f5ba1fc8444d82a4a9a274532344",
"724f3154d5be483eb0cd4513c151f2e4",
"05cedd76de7a421c981d6f72c26cce83",
"bf381116d5b64267a372b8b9ef0aaa79",
"e5909528ff3b48b790c81688f93a8693",
"4fa6b200c98a4aaba56f913fac7fd170",
"77dc23fc80944f3fb69455cea9e0bbcd",
"6e7777402a184da4953b54e6364140c0",
"a777e6699432491fb2ad462d9322fe1a",
"0d640c924bd34d3ab84c25bb9acab65b",
"ee6b1096453546a4a63ee1fe0372b16b",
"e8b2cb98bde749328fd5433a92b6f500",
"96b23b035a9e4c1482bf2ac1282ac1dc",
"82ef6db544854961866f9181fbd65c06",
"14f2fc9ce76447aaa35d7a0a3b18e68a",
"5efa67b4e1264b0d97403635fac5aca7",
"d16f43433220429eae0fe5f6fedfee28",
"8cc60d94844c4cd58e664bf7514b56f7",
"553f6763b6754cbc83407ae7c3ae9314",
"b4969b629ffc49b8aae6893852b6983e",
"f2d9cb5e854a492ca895a815d6d3cb6a",
"722ad38088ba41fcbdd2256ca83aea1c",
"fbbb632c37654facb118bf7446d0f0e9",
"62f327c822d848cc883dc048c1607748",
"772013c2ebcd44ff9fcb794cf355cd6f",
"264c684e3a974acda5c04d83106f8802",
"f3398dc2a2db4223aedb659e94a86355",
"97f82b4bc0584c4ab2e44de2b554c4db",
"5753aa4fef0047d98c4d4dec0c9dc624",
"24a4d6e1d8ce44d4a55076f84ee02e6c",
"6585a79f8cc84e85bafc762f9a6e10b7",
"29df41aecf4d44b2b52682fa3f6b4790",
"f9916eb4a18c4685b9b0f9119bcd0ba6",
"37e69ea25ee24d4d8d21b97d4850ef43",
"bbcd0ea3f7384734afe0339912b014a6",
"0fd06c5e84004164899284e9407a641d",
"751c65c2a61c47f389c7d055d7551b5a",
"dea5454d32214338acc21de4fd4f6a4d",
"23a7097a14bf4525a4ba078bc0913b61",
"6c2f4929504a4f45a5235efa2e083537",
"55cd27dbcbbc4899a80763d018f6798f",
"04f6276dc0fa43898f2b0ec588a02371",
"1c3d6cabc87a46bdaa8be6851a54e433",
"297f7c0084c44862bc2161a41797e0e5",
"906505620222432e8904f54c6bdaf295",
"c94be0b374a8440db4397841345e33ad",
"d8257308ff3e48478c40607df0efbc6b",
"a40596352e3a4e88aa94109b64931fb3",
"2ebe86e7cd134fcaa7ba44e990ff0307",
"b3afaff2118840119216cffcc6beb063",
"4c686dc2c35344b1ae28c75a44667b07",
"10dc17bd3e054c78867d6b08be2aad3c",
"a4db5afdb0c24a65b7883d8e60be1168",
"1df3bbc92c8245d6bf1ad4b701ad40be",
"3a769b0c59d14bc08211e199207176cf",
"0022387ca48046f9b0357572419709bb",
"a90cfc4d3ede48c69801d804feb2949d",
"d94c6a121c994d54ace2fefc05addc77",
"a1f599b5e0834fe78e3b43d3e08ac090",
"869711aa139b481492d198979507a686",
"7ecd542d2b8a4361ac3756804d207a71",
"2fe542eaeed14867bc1a369da94fcc1b",
"5d4a885b05a44999aa359ccb7f30e9f6",
"18a50bdb072d4347932e64a9c29f5f9b",
"1bdbc41957d04cbeac0ce9cf34b0d9c9",
"db33a1f6620a44ccb8be872b90005ff5",
"87adf594c9e345218d59298c2cdc39ea",
"30cf1fd874d447b1b99b9f9cf32b2eab",
"0010eb79ba5b4785b54e71d99e1676d4",
"7a646f01e7d449f0b512008f2bf5daae",
"6c496b9f273e462a9003ac61e77077ca",
"7af67f0d7f644b8e86cafd70f0fb2932",
"2e875db7df7f4dc8907b0773335f2520",
"50d192e606724d18ae3103fb0ee81552",
"b5a47157118e4c6ba7e0503bde4f6d69",
"ea958ededd4f429ba3753e6e0f1f7b50",
"f9f09499f22d4f71a3882bbcc707e1a4",
"e9967ffed5a540d7a9112af0f506ab3f",
"4f2fa25deaba44e6a223b90d9264f0a7",
"79453a22f9d649d3b9980d3290219606",
"047193aaaeff4fc393347fa403c8d4a6",
"3f949734eb7d4ad397e3680ce43ff7bc",
"7fe03a86ebb9400095dbd0634b39d029",
"645b9fe279e3441c82dc39a8b7c50d7e",
"207466edef5843bcb17d49e696789dee",
"0adcc6fd30dc427ebe39437e9931dc2c",
"9b38c9da5c7347d6b181686494e051a6",
"0c6490af3f37485aba4327b127486efa",
"5887dc57ee014660a7660ffab33cddd5",
"1eeaf64efef547fc987de8854b1e14ae",
"de499f6b8b834c26949a9767583e4a6d",
"e1d7d75b15884662877b7948b2780a8f",
"8503e21e1d3244fbb0af09c0785abf62",
"f47ccbf9cf8b4131b710f582eec829f4",
"4217c7fb3c6042c8956912fa66c92a2e",
"77a03d03c71942bc936a588c89e7fc4e",
"22bf4881d3244c78bdba1d70b9be629e",
"10009388e4c74ec1b8dc07aa89feb600",
"35b907ae524f42e4b8b97703b2fe475a",
"e07c71f1497a4701aaea9bf95a33ab9a",
"7e224845cc3240cbad4ef3fb2bb7fa4d",
"ecc9da36957041f58a0e8a56f7366789",
"29545b8e25ce478088555446ec29b00b",
"d1d33a6f8cbe4ab59692d7f7ba5760e8",
"7545fd9014c548b4b98caee6f369ed4c",
"eb0a4622300c4f39b3984c1b9bd17717",
"4b84090398fe44829a31e23643f3dddb",
"51f56cc8980c489684c41caa63a75942",
"eaf68041c49f4141896d28bd3dfd9dfa",
"d707a4383b9e446b985610d2ce154f21",
"43e5dda1a3294efa8b80d6299b0c9876",
"2799f6dab1694b44b8789475301714a8",
"38b6e9f96dbf42c7afae43dd51a9c6ea",
"28752990c8a24a96ac3d54a0cb83cba2",
"646b009b73a54a9597d987a8f781bad5",
"44db5aae47354e6b8e2e3dd578f21ff2",
"1825a41cfff94ad89fc07127c60d2484",
"5ea51c79dffb46efa9e9bd322df4f785",
"13aa1436bdd346c3bbb0d68b6d3ad8bb",
"c41cfbe8e6fc4412bb36cafe21ac7050",
"3878b286eef74dc0b98b9dc8e3c05ba8",
"24aae7067a3b435697523018c6640eb9",
"c58a0f0addbe487e88c9dfb38a9168a9",
"23535ef3c09f40a682a4fd87f3f516de",
"dafc342e51ce44e488b6471ff3fc46ca"
]
},
"id": "x5mAAFabeTg5",
"outputId": "d00200a1-e89b-4f43-ffc3-2eb25e8fba10"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"test-00000-of-00001.parquet: 0%| | 0.00/241k [00:00\")\n",
"print(f\" {input_text} \") # Source: Azerbaijani\n",
"print(f\" {label_text} \") # Target: English\n",
"print(\"\\n\")\n",
"\n",
"print(\"EN to AZ\\n\")\n",
"print(\"\")\n",
"print(f\" {label_text} \") # Source: English\n",
"print(f\" {input_text} \") # Target: Azerbaijani\n",
"print(\"\")\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "aldEJr9YjOmV",
"outputId": "bc01bbe0-a6d4-48be-bb58-d746311bb811"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"AZ to EN\n",
"\n",
"\n",
" but he did not venture to scale the difficult steep. \n",
" lakin o, əqəbəni ( maneəni ) kecə bilmədi ( ozunə verilən bu qədər ne ’ mətlərə sukur etmədi ). \n",
"\n",
"\n",
"EN to AZ\n",
"\n",
"\n",
" lakin o, əqəbəni ( maneəni ) kecə bilmədi ( ozunə verilən bu qədər ne ’ mətlərə sukur etmədi ). \n",
" but he did not venture to scale the difficult steep. \n",
"\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"LSTM Model Class"
],
"metadata": {
"id": "AaiX7OJdjR_n"
}
},
{
"cell_type": "code",
"source": [
"import torch\n",
"import torch.nn as nn\n",
"from torch.optim import Adam\n",
"\n",
"# Define the LSTMTranslator model\n",
"class LSTMTranslator(nn.Module):\n",
" def __init__(self, input_dim, hidden_dim, output_dim, n_layers=2):\n",
" super(LSTMTranslator, self).__init__()\n",
" self.embedding = nn.Embedding(input_dim, hidden_dim)\n",
" self.lstm = nn.LSTM(hidden_dim, hidden_dim, num_layers=n_layers, batch_first=True)\n",
" self.fc = nn.Linear(hidden_dim, output_dim)\n",
"\n",
" def forward(self, src):\n",
" embedded = self.embedding(src)\n",
" outputs, _ = self.lstm(embedded)\n",
" predictions = self.fc(outputs)\n",
" return predictions"
],
"metadata": {
"id": "JnrqpMLNjknn"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"\n",
"# Hyperparameters\n",
"vocab_size = tokenizer.vocab_size # Use the tokenizer's vocabulary size\n",
"embedding_dim = 300 # Adjust based on your needs\n",
"hidden_dim = 512 # Adjust based on your needs\n",
"output_dim = vocab_size # Same as vocab size for translation task\n",
"num_layers = 2 # Number of LSTM layers\n",
"\n",
"# Instantiate the model\n",
"device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
"model = LSTMTranslator(vocab_size, hidden_dim, output_dim, num_layers).to(device)\n",
"\n",
"# Loss and optimizer\n",
"criterion = nn.CrossEntropyLoss(ignore_index=tokenizer.pad_token_id) # Ignore padding token during loss calculation\n",
"optimizer = Adam(model.parameters(), lr=0.001)\n"
],
"metadata": {
"id": "ObaB4VSBrAEp"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"Training loop"
],
"metadata": {
"id": "qVJnOgKpnpA_"
}
},
{
"cell_type": "code",
"source": [
"!pip install evaluate"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "b4YsYi84nvk0",
"outputId": "2929d368-71b8-4972-fc1e-1a59b88a0ff2"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting evaluate\n",
" Downloading evaluate-0.4.3-py3-none-any.whl.metadata (9.2 kB)\n",
"Requirement already satisfied: datasets>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from evaluate) (3.1.0)\n",
"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from evaluate) (1.26.4)\n",
"Requirement already satisfied: dill in /usr/local/lib/python3.10/dist-packages (from evaluate) (0.3.8)\n",
"Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from evaluate) (2.2.2)\n",
"Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.10/dist-packages (from evaluate) (2.32.3)\n",
"Requirement already satisfied: tqdm>=4.62.1 in /usr/local/lib/python3.10/dist-packages (from evaluate) (4.66.6)\n",
"Requirement already satisfied: xxhash in /usr/local/lib/python3.10/dist-packages (from evaluate) (3.5.0)\n",
"Requirement already satisfied: multiprocess in /usr/local/lib/python3.10/dist-packages (from evaluate) (0.70.16)\n",
"Requirement already satisfied: fsspec>=2021.05.0 in /usr/local/lib/python3.10/dist-packages (from fsspec[http]>=2021.05.0->evaluate) (2024.9.0)\n",
"Requirement already satisfied: huggingface-hub>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from evaluate) (0.26.2)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from evaluate) (24.2)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from datasets>=2.0.0->evaluate) (3.16.1)\n",
"Requirement already satisfied: pyarrow>=15.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets>=2.0.0->evaluate) (17.0.0)\n",
"Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from datasets>=2.0.0->evaluate) (3.10.10)\n",
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from datasets>=2.0.0->evaluate) (6.0.2)\n",
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.7.0->evaluate) (4.12.2)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->evaluate) (3.4.0)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->evaluate) (3.10)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->evaluate) (2.2.3)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->evaluate) (2024.8.30)\n",
"Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas->evaluate) (2.8.2)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->evaluate) (2024.2)\n",
"Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas->evaluate) (2024.2)\n",
"Requirement already satisfied: aiohappyeyeballs>=2.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.0.0->evaluate) (2.4.3)\n",
"Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.0.0->evaluate) (1.3.1)\n",
"Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.0.0->evaluate) (24.2.0)\n",
"Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.0.0->evaluate) (1.5.0)\n",
"Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.0.0->evaluate) (6.1.0)\n",
"Requirement already satisfied: yarl<2.0,>=1.12.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.0.0->evaluate) (1.17.1)\n",
"Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.0.0->evaluate) (4.0.3)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas->evaluate) (1.16.0)\n",
"Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from yarl<2.0,>=1.12.0->aiohttp->datasets>=2.0.0->evaluate) (0.2.0)\n",
"Downloading evaluate-0.4.3-py3-none-any.whl (84 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m84.0/84.0 kB\u001b[0m \u001b[31m2.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hInstalling collected packages: evaluate\n",
"Successfully installed evaluate-0.4.3\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!pip install sacrebleu"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "xpsK58iboCFP",
"outputId": "38c5522d-700f-4183-e43e-5847731d33cb"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting sacrebleu\n",
" Downloading sacrebleu-2.4.3-py3-none-any.whl.metadata (51 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m51.8/51.8 kB\u001b[0m \u001b[31m2.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting portalocker (from sacrebleu)\n",
" Downloading portalocker-2.10.1-py3-none-any.whl.metadata (8.5 kB)\n",
"Requirement already satisfied: regex in /usr/local/lib/python3.10/dist-packages (from sacrebleu) (2024.9.11)\n",
"Requirement already satisfied: tabulate>=0.8.9 in /usr/local/lib/python3.10/dist-packages (from sacrebleu) (0.9.0)\n",
"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from sacrebleu) (1.26.4)\n",
"Collecting colorama (from sacrebleu)\n",
" Downloading colorama-0.4.6-py2.py3-none-any.whl.metadata (17 kB)\n",
"Requirement already satisfied: lxml in /usr/local/lib/python3.10/dist-packages (from sacrebleu) (5.3.0)\n",
"Downloading sacrebleu-2.4.3-py3-none-any.whl (103 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m104.0/104.0 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\n",
"Downloading portalocker-2.10.1-py3-none-any.whl (18 kB)\n",
"Installing collected packages: portalocker, colorama, sacrebleu\n",
"Successfully installed colorama-0.4.6 portalocker-2.10.1 sacrebleu-2.4.3\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [],
"metadata": {
"id": "XLnBrnz4oBXZ"
}
},
{
"cell_type": "code",
"source": [
"import time\n",
"import torch\n",
"import pandas as pd\n",
"import evaluate\n",
"\n",
"# Load BLEU and ChrF evaluation metrics\n",
"bleu_metric = evaluate.load(\"bleu\")\n",
"chrf_metric = evaluate.load(\"chrf\")\n",
"\n",
"def train_lstm(model, train_dataloader, val_dataloader, criterion, optimizer, test_dataloader, tokenizer, device, n_epochs=10):\n",
" model = model.to(device)\n",
"\n",
" # Lists to store train, validation losses, BLEU, and ChrF scores\n",
" train_losses, val_losses = [], []\n",
" bleu_scores, chrf_scores = [], []\n",
"\n",
" for epoch in range(n_epochs):\n",
" model.train()\n",
" epoch_train_loss = 0\n",
" start_time = time.time()\n",
"\n",
" for batch in train_dataloader:\n",
" src = batch[\"input_ids\"].to(device)\n",
" tgt = batch[\"labels\"].to(device)\n",
"\n",
" optimizer.zero_grad()\n",
" output = model(src)\n",
" tgt = tgt[:, :output.size(1)]\n",
"\n",
" output = output.reshape(-1, output.shape[-1])\n",
" tgt = tgt.reshape(-1)\n",
"\n",
" loss = criterion(output, tgt)\n",
" loss.backward()\n",
" optimizer.step()\n",
" epoch_train_loss += loss.item()\n",
"\n",
" avg_train_loss = epoch_train_loss / len(train_dataloader)\n",
" train_losses.append(avg_train_loss)\n",
"\n",
" # Validation loop\n",
" model.eval()\n",
" epoch_val_loss = 0\n",
" with torch.no_grad():\n",
" for batch in val_dataloader:\n",
" src = batch[\"input_ids\"].to(device)\n",
" tgt = batch[\"labels\"].to(device)\n",
"\n",
" output = model(src)\n",
" tgt = tgt[:, :output.size(1)]\n",
" output = output.reshape(-1, output.shape[-1])\n",
" tgt = tgt.reshape(-1)\n",
"\n",
" loss = criterion(output, tgt)\n",
" epoch_val_loss += loss.item()\n",
"\n",
" avg_val_loss = epoch_val_loss / len(val_dataloader)\n",
" val_losses.append(avg_val_loss)\n",
"\n",
" epoch_time = time.time() - start_time\n",
" print(f\"Epoch {epoch+1}/{n_epochs} completed in {epoch_time:.2f}s\")\n",
" print(f\"Train Loss: {avg_train_loss:.4f}, Validation Loss: {avg_val_loss:.4f}\")\n",
"\n",
" # Compute BLEU and ChrF scores on test dataset after each epoch\n",
" bleu_score, chrf_score = compute_bleu_chrf_scores(model, test_dataloader, tokenizer, device)\n",
" bleu_scores.append({\"Epoch\": epoch + 1, \"BLEU Score\": bleu_score})\n",
" chrf_scores.append({\"Epoch\": epoch + 1, \"ChrF Score\": chrf_score})\n",
" print(f\"Epoch {epoch+1} BLEU Score: {bleu_score:.4f}, ChrF Score: {chrf_score:.4f}\")\n",
"\n",
" # Save BLEU and ChrF scores to CSV files\n",
" bleu_df = pd.DataFrame(bleu_scores)\n",
" bleu_df.to_csv(\"lstm_bleu_scores.csv\", index=False)\n",
" chrf_df = pd.DataFrame(chrf_scores)\n",
" chrf_df.to_csv(\"lstm_chrf_scores.csv\", index=False)\n",
"\n",
" print(\"All BLEU and ChrF scores have been saved in lstm_bleu_scores.csv and lstm_chrf_scores.csv\")\n",
"\n",
" return train_losses, val_losses\n",
"\n",
"def compute_bleu_chrf_scores(model, dataloader, tokenizer, device):\n",
" model.eval()\n",
" model.to(device)\n",
"\n",
" predictions, references = [], []\n",
"\n",
" with torch.no_grad():\n",
" for batch in dataloader:\n",
" src = batch[\"input_ids\"].to(device)\n",
" tgt = batch[\"labels\"].to(device)\n",
"\n",
" # Generate predictions using LSTM model\n",
" outputs = model(src)\n",
" predicted_ids = outputs.argmax(dim=-1)\n",
"\n",
" # Decode predictions and targets to text\n",
" predicted_texts = tokenizer.batch_decode(predicted_ids, skip_special_tokens=True)\n",
" target_texts = tokenizer.batch_decode(tgt, skip_special_tokens=True)\n",
"\n",
" # Append predictions and references for BLEU and ChrF calculations\n",
" predictions.extend(predicted_texts)\n",
" references.extend([[text] for text in target_texts]) # BLEU expects a list of lists\n",
"\n",
" # Compute BLEU and ChrF scores\n",
" bleu_score = bleu_metric.compute(predictions=predictions, references=references)['bleu']\n",
" chrf_score = chrf_metric.compute(predictions=predictions, references=references)['score']\n",
"\n",
" return bleu_score, chrf_score\n",
"\n",
"# Set device\n",
"device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
"\n",
"# Train and evaluate the LSTM model\n",
"train_losses, val_losses = train_lstm(\n",
" lstm_model, train_dataloader, val_dataloader, criterion, optimizer, test_dataloader, tokenizer, device, n_epochs=10\n",
")\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "J6dW51Tznp_d",
"outputId": "a5b85731-cea4-4f02-b3d1-64be726a977e"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Epoch 1/10 completed in 332.53s\n",
"Train Loss: 4.4735, Validation Loss: 4.3545\n",
"Epoch 1 BLEU Score: 0.0008, ChrF Score: 4.7236\n",
"Epoch 2/10 completed in 332.22s\n",
"Train Loss: 4.1225, Validation Loss: 4.3090\n",
"Epoch 2 BLEU Score: 0.0043, ChrF Score: 5.2727\n",
"Epoch 3/10 completed in 332.68s\n",
"Train Loss: 3.9681, Validation Loss: 4.3052\n",
"Epoch 3 BLEU Score: 0.0029, ChrF Score: 5.6520\n",
"Epoch 4/10 completed in 332.68s\n",
"Train Loss: 3.8724, Validation Loss: 4.3087\n",
"Epoch 4 BLEU Score: 0.0049, ChrF Score: 6.1935\n",
"Epoch 5/10 completed in 332.82s\n",
"Train Loss: 3.8054, Validation Loss: 4.3271\n",
"Epoch 5 BLEU Score: 0.0073, ChrF Score: 6.8350\n",
"Epoch 6/10 completed in 332.99s\n",
"Train Loss: 3.7549, Validation Loss: 4.3432\n",
"Epoch 6 BLEU Score: 0.0071, ChrF Score: 6.8216\n",
"Epoch 7/10 completed in 332.64s\n",
"Train Loss: 3.7158, Validation Loss: 4.3529\n",
"Epoch 7 BLEU Score: 0.0063, ChrF Score: 6.7305\n",
"Epoch 8/10 completed in 332.88s\n",
"Train Loss: 3.6842, Validation Loss: 4.3659\n",
"Epoch 8 BLEU Score: 0.0075, ChrF Score: 7.1104\n",
"Epoch 9/10 completed in 332.70s\n",
"Train Loss: 3.6596, Validation Loss: 4.3809\n",
"Epoch 9 BLEU Score: 0.0065, ChrF Score: 7.2408\n",
"Epoch 10/10 completed in 333.00s\n",
"Train Loss: 3.6369, Validation Loss: 4.3930\n",
"Epoch 10 BLEU Score: 0.0093, ChrF Score: 7.5380\n",
"All BLEU and ChrF scores have been saved in lstm_bleu_scores.csv and lstm_chrf_scores.csv\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"Saving the Model's State Dictionary"
],
"metadata": {
"id": "mEVtd3TSI_2X"
}
},
{
"cell_type": "code",
"source": [
"# Save the model's state_dict\n",
"torch.save(lstm_model.state_dict(), \"lstm_model_state_dict.pth\")\n",
"\n",
"# Define the model parameters\n",
"input_dim = vocab_size # This should match the vocab_size used when initializing lstm_model\n",
"hidden_dim = 512 # This should match the hidden_dim used when initializing lstm_model\n",
"output_dim = vocab_size # This should match the output_dim used when initializing lstm_model\n",
"\n",
"# Load the model and set it to evaluation mode\n",
"loaded_model = LSTMTranslator(input_dim=input_dim, hidden_dim=hidden_dim, output_dim=output_dim, n_layers=2)\n",
"loaded_model.load_state_dict(torch.load(\"lstm_model_state_dict.pth\"))\n",
"loaded_model.eval() # Set to evaluation mode for inference\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "5cCvOBzFI7_R",
"outputId": "105ec843-3117-497e-fc31-d5c21cd9668c"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
":11: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
" loaded_model.load_state_dict(torch.load(\"lstm_model_state_dict.pth\"))\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"LSTMTranslator(\n",
" (embedding): Embedding(30522, 512)\n",
" (lstm): LSTM(512, 512, num_layers=2, batch_first=True)\n",
" (fc): Linear(in_features=512, out_features=30522, bias=True)\n",
")"
]
},
"metadata": {},
"execution_count": 23
}
]
},
{
"cell_type": "markdown",
"source": [
"Plot the LSTM Model\n"
],
"metadata": {
"id": "jm367uneJx-x"
}
},
{
"cell_type": "code",
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"# Use the losses returned from the train_lstm function\n",
"epochs = range(1, len(train_losses) + 1) # Define the number of epochs\n",
"\n",
"# Plot Training and Validation Loss\n",
"plt.figure(figsize=(8, 5))\n",
"plt.plot(epochs, train_losses, label=\"LSTM Train Loss\", marker='o')\n",
"plt.plot(epochs, val_losses, label=\"LSTM Validation Loss\", marker='o', color='orange')\n",
"plt.xlabel(\"Epochs\")\n",
"plt.ylabel(\"Loss\")\n",
"plt.title(\"LSTM Training and Validation Loss\")\n",
"plt.legend()\n",
"plt.grid()\n",
"plt.show()\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 487
},
"id": "OSc0-V1lJ2aK",
"outputId": "b2f62d8f-f14e-4336-98fb-a50405950e61"
},
"execution_count": null,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": "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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "markdown",
"source": [
"Plots for BLEU and ChrF Scores"
],
"metadata": {
"id": "86NKfeBRKTEn"
}
},
{
"cell_type": "code",
"source": [
"import pandas as pd\n",
"\n",
"# Load BLEU scores CSV file\n",
"bleu_df = pd.read_csv(\"lstm_bleu_scores.csv\")\n",
"\n",
"# Display all BLEU scores\n",
"print(\"BLEU Scores Across Epochs:\")\n",
"print(bleu_df)\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "nhPJcguYKXJw",
"outputId": "2f41a8b5-9160-4169-e664-a5915f5f25e6"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"BLEU Scores Across Epochs:\n",
" Epoch BLEU Score\n",
"0 1 0.000811\n",
"1 2 0.004257\n",
"2 3 0.002863\n",
"3 4 0.004919\n",
"4 5 0.007313\n",
"5 6 0.007104\n",
"6 7 0.006252\n",
"7 8 0.007499\n",
"8 9 0.006549\n",
"9 10 0.009301\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"import pandas as pd\n",
"\n",
"# Load BLEU scores CSV file\n",
"bleu_df = pd.read_csv(\"lstm_chrf_scores.csv\")\n",
"\n",
"# Display all BLEU scores\n",
"print(\"CHRF Scores Across Epochs:\")\n",
"print(bleu_df)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "zlAUkKuPKmFO",
"outputId": "f8b82771-261e-4283-fe0e-939c048257cb"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"CHRF Scores Across Epochs:\n",
" Epoch ChrF Score\n",
"0 1 4.723627\n",
"1 2 5.272729\n",
"2 3 5.651987\n",
"3 4 6.193473\n",
"4 5 6.834986\n",
"5 6 6.821552\n",
"6 7 6.730523\n",
"7 8 7.110407\n",
"8 9 7.240820\n",
"9 10 7.538019\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"\n",
"# Load BLEU and ChrF scores from the saved CSV files\n",
"bleu_df = pd.read_csv(\"lstm_bleu_scores.csv\")\n",
"chrf_df = pd.read_csv(\"lstm_chrf_scores.csv\")\n",
"\n",
"# Plot BLEU scores across epochs\n",
"plt.figure(figsize=(8, 5))\n",
"plt.plot(bleu_df['Epoch'], bleu_df['BLEU Score'], marker='o', label=\"BLEU Score\", color=\"b\")\n",
"plt.xlabel(\"Epochs\")\n",
"plt.ylabel(\"BLEU Score\")\n",
"plt.title(\"BLEU Score Across Epochs\")\n",
"plt.legend()\n",
"plt.grid(True)\n",
"plt.show()\n",
"\n",
"# Plot ChrF scores across epochs\n",
"plt.figure(figsize=(8, 5))\n",
"plt.plot(chrf_df['Epoch'], chrf_df['ChrF Score'], marker='o', label=\"ChrF Score\", color=\"g\")\n",
"plt.xlabel(\"Epochs\")\n",
"plt.ylabel(\"ChrF Score\")\n",
"plt.title(\"ChrF Score Across Epochs\")\n",
"plt.legend()\n",
"plt.grid(True)\n",
"plt.show()\n"
],
"metadata": {
"id": "T2rduvB0Ktuw",
"outputId": "64865509-c3ee-48c7-f526-6954d4fb5694",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 957
}
},
"execution_count": null,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": "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\n"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": "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\n"
},
"metadata": {}
}
]
}
]
}