{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [], "machine_shape": "hm", "gpuType": "A100" }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" }, "accelerator": "GPU", "widgets": { "application/vnd.jupyter.widget-state+json": { "8689f9eb122341bfadc474d5f9945535": { "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_d3e81e1e93ab4f8396092a729d2bb96c", "IPY_MODEL_12a5b2b05a6f46b7a41ed9663a86d19f", "IPY_MODEL_9fd74901c91641378865d4d00238fe4a" ], "layout": "IPY_MODEL_6dea4d14b7e74367b9d5341aac937e5e" } }, "d3e81e1e93ab4f8396092a729d2bb96c": { "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_21b8857ba3914375a73c1505d30f69fa", "placeholder": "​", "style": "IPY_MODEL_49681405c07741e6a31c600c1386a65e", "value": "tokenizer_config.json: 100%" } }, "12a5b2b05a6f46b7a41ed9663a86d19f": { "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_7512c9bea0f84f458696915a4bddeb62", "max": 48, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_33a3046a5bb34d47aa7aa6d2813ccadd", "value": 48 } }, "9fd74901c91641378865d4d00238fe4a": { "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_51db6ac6f1d849df812710e7b546d78d", "placeholder": "​", "style": "IPY_MODEL_70d322ef293a4ef9b778422005f38dfd", "value": " 48.0/48.0 [00:00<00:00, 6.00kB/s]" } }, "6dea4d14b7e74367b9d5341aac937e5e": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "21b8857ba3914375a73c1505d30f69fa": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "49681405c07741e6a31c600c1386a65e": { "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": "" } }, "7512c9bea0f84f458696915a4bddeb62": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "33a3046a5bb34d47aa7aa6d2813ccadd": { "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": "" } }, "51db6ac6f1d849df812710e7b546d78d": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "70d322ef293a4ef9b778422005f38dfd": { "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": "" } }, "c2094e12546f4923861179396005bfe0": { "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_55c224c4d205485f8f8c2c520542305f", "IPY_MODEL_3413ea9a4ab54c9f845d2acacce50633", "IPY_MODEL_13c70dd52a9147fdb5149dd6ecfc3b64" ], "layout": "IPY_MODEL_9038ef5aebc64d379029f820900de763" } }, "55c224c4d205485f8f8c2c520542305f": { "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_3d4bc12b78b94a8cad4d28881dbfac0c", "placeholder": "​", "style": "IPY_MODEL_45f96a1ac6834fa08f643d8d59f85788", "value": "config.json: 100%" } }, "3413ea9a4ab54c9f845d2acacce50633": { "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_8ede7b3452aa41dab470181bd4c4f4fc", "max": 483, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_897ba181b8714114b4129d42416d67d5", "value": 483 } }, "13c70dd52a9147fdb5149dd6ecfc3b64": { "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_14266f979fa3412e8cf186f17abbad2e", "placeholder": "​", "style": "IPY_MODEL_542a762618f442adbe6639b926a3dc6c", "value": " 483/483 [00:00<00:00, 65.3kB/s]" } }, "9038ef5aebc64d379029f820900de763": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "3d4bc12b78b94a8cad4d28881dbfac0c": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "45f96a1ac6834fa08f643d8d59f85788": { "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": "" } }, "8ede7b3452aa41dab470181bd4c4f4fc": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "897ba181b8714114b4129d42416d67d5": { "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": "" } }, "14266f979fa3412e8cf186f17abbad2e": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "542a762618f442adbe6639b926a3dc6c": { "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": "" } }, "71eb0443a8f14856ab2695d7ffc3632c": { "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_a6793737c09c4c0499c2588a1d5c5ed7", "IPY_MODEL_9c76a48b7b074680bdea01bac2b397f5", "IPY_MODEL_8528ed0ea7d24c8e81e527458c20f63a" ], "layout": "IPY_MODEL_903609c6c4ce4213a9123263df08354f" } }, "a6793737c09c4c0499c2588a1d5c5ed7": { "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_e4c203db981f47c6a672a80489ee0077", "placeholder": "​", "style": "IPY_MODEL_1fc45854ec3c4424b2820170964f8368", "value": "vocab.txt: 100%" } }, "9c76a48b7b074680bdea01bac2b397f5": { "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_91d639eed8964db0a4178f07a319ee3d", "max": 231508, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_337fb2bc81864f988310cfb86ebbe5d9", "value": 231508 } }, "8528ed0ea7d24c8e81e527458c20f63a": { "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_7606df358ee448eeaf27a2d7cd149370", "placeholder": "​", "style": "IPY_MODEL_a5b053a863bd444584ac730db0506791", "value": " 232k/232k [00:00<00:00, 5.30MB/s]" } }, "903609c6c4ce4213a9123263df08354f": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "e4c203db981f47c6a672a80489ee0077": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "1fc45854ec3c4424b2820170964f8368": { "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": "" } }, "91d639eed8964db0a4178f07a319ee3d": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "337fb2bc81864f988310cfb86ebbe5d9": { "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": "" } }, "7606df358ee448eeaf27a2d7cd149370": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "a5b053a863bd444584ac730db0506791": { "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": "" } }, "fcea1c9149684b50a8ad48a3f2c3c7d9": { "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_b446e32c344746bab8db34a088d1a9c9", "IPY_MODEL_4ef321ba31984d8fb583f51d8fdc5007", "IPY_MODEL_552cce1fcfdc4cc49a710297aeefda37" ], "layout": "IPY_MODEL_287a642797714fe6a55cfbafb2577b11" } }, "b446e32c344746bab8db34a088d1a9c9": { "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_234c1cc36f5f43679a83a97762c7d18c", "placeholder": "​", "style": "IPY_MODEL_7dc82721fa3c44b9a6d97b1fa7de7a4d", "value": "tokenizer.json: 100%" } }, "4ef321ba31984d8fb583f51d8fdc5007": { "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_80d9171221ba48cc89b9ec4cc8e25c5c", "max": 466062, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_2b6dbc22dbc94aad80065bd792577648", "value": 466062 } }, "552cce1fcfdc4cc49a710297aeefda37": { "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_37b4438f7ffb4fbc866d64bb173318b6", "placeholder": "​", "style": "IPY_MODEL_f28aa02dab1a42a0aa87de21ad5e4416", "value": " 466k/466k [00:00<00:00, 12.4MB/s]" } }, "287a642797714fe6a55cfbafb2577b11": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "234c1cc36f5f43679a83a97762c7d18c": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "7dc82721fa3c44b9a6d97b1fa7de7a4d": { "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": "" } }, "80d9171221ba48cc89b9ec4cc8e25c5c": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "2b6dbc22dbc94aad80065bd792577648": { "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": "" } }, "37b4438f7ffb4fbc866d64bb173318b6": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "f28aa02dab1a42a0aa87de21ad5e4416": { "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": "" } }, "bbe16ab226ca4210ab44765f4491242d": { "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_409de978963d4f5da67ff065e6f0bcb9", "IPY_MODEL_0a56bc7bbb4c44c58833e6ae904086e2", "IPY_MODEL_bd23bb9fcd6845c697b63403418f5734" ], "layout": "IPY_MODEL_432094a38b1d43fc9b97eb91cc8ed7e0" } }, "409de978963d4f5da67ff065e6f0bcb9": { "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_c81fb7d32198487eb6fc60cbc6a9509d", "placeholder": "​", "style": "IPY_MODEL_346be1f3c7694274b47bb0720647a26e", "value": "Epoch: 100%" } }, "0a56bc7bbb4c44c58833e6ae904086e2": { "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": "", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f139b3cb935b471f9dd073f017cd28b0", "max": 10, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_725e76bd2eb44627a5e80b92b3e9b1c5", "value": 10 } }, "bd23bb9fcd6845c697b63403418f5734": { "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_4634d9c3ba3d4b5291ef65c1169afd52", "placeholder": "​", "style": "IPY_MODEL_253e96918f3048698df0c415eacff5a5", "value": " 10/10 [1:34:07<00:00, 564.53s/it]" } }, "432094a38b1d43fc9b97eb91cc8ed7e0": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": "hidden", "width": null } }, "c81fb7d32198487eb6fc60cbc6a9509d": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "346be1f3c7694274b47bb0720647a26e": { "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": "" } }, "f139b3cb935b471f9dd073f017cd28b0": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "725e76bd2eb44627a5e80b92b3e9b1c5": { "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": "" } }, "4634d9c3ba3d4b5291ef65c1169afd52": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "253e96918f3048698df0c415eacff5a5": { "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": "" } }, "1f355e5e594345eaa7d27e55b2a2ae74": { "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_d80c778747254abaa66b3c28f5f1b745", "IPY_MODEL_7d547c8474754f54844945859d5ade2b", "IPY_MODEL_ca3c9138905f49e990e3b97d3c01c5f1" ], "layout": "IPY_MODEL_14847543509a48f2a79a649b7c9dcfe9" } }, "d80c778747254abaa66b3c28f5f1b745": { "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_15cc7b4ca53c426595377cd953e9ef58", "placeholder": "​", "style": "IPY_MODEL_c0437007780348588374fc42b180165b", "value": "Training: 100%" } }, "7d547c8474754f54844945859d5ade2b": { "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": "", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_6cf1b689e439451284763615ab7f4f69", "max": 162, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_d7e352fa6aa0460191633472ffd55ab0", "value": 162 } }, "ca3c9138905f49e990e3b97d3c01c5f1": { "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_e4d19f84d68649498f110834b3347349", "placeholder": "​", "style": "IPY_MODEL_50d572cc7ea74872973a544f548d75fd", "value": " 162/162 [09:25<00:00,  3.11s/it]" } }, "14847543509a48f2a79a649b7c9dcfe9": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": "hidden", "width": null } }, "15cc7b4ca53c426595377cd953e9ef58": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "c0437007780348588374fc42b180165b": { "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": "" } }, "6cf1b689e439451284763615ab7f4f69": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "d7e352fa6aa0460191633472ffd55ab0": { "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": "" } }, "e4d19f84d68649498f110834b3347349": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "50d572cc7ea74872973a544f548d75fd": { "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": "" } }, "eb7e20f5fe34463a9a77fa062f28a7a1": { "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_02bb749c65804cec892579210aa4517e", "IPY_MODEL_4074cec950204ad5aced584aa4d84a87", "IPY_MODEL_5a2dc2abd0fa4766a105196ac13818dd" ], "layout": "IPY_MODEL_083b0cdbe8714c9a95ed4d9251d73d32" } }, "02bb749c65804cec892579210aa4517e": { "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_ce28cea9cca24ae1bf1d5eeccaf7f3a0", "placeholder": "​", "style": "IPY_MODEL_f5153b30658849a690eb3f0afeb1192e", "value": "Training: 100%" } }, "4074cec950204ad5aced584aa4d84a87": { "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": "", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_adc0c967cec7402d90f5d50bf807b5ac", "max": 162, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_dcfae115eac346aea2d29d49a1f0c6ff", "value": 162 } }, "5a2dc2abd0fa4766a105196ac13818dd": { "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_5eccf0de6d7a495a832567d363eac3cd", "placeholder": "​", "style": "IPY_MODEL_9f094c69b5d648048c2d12cfee024ed0", "value": " 162/162 [09:23<00:00,  3.15s/it]" } }, "083b0cdbe8714c9a95ed4d9251d73d32": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": "hidden", "width": null } }, "ce28cea9cca24ae1bf1d5eeccaf7f3a0": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "f5153b30658849a690eb3f0afeb1192e": { "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": "" } }, "adc0c967cec7402d90f5d50bf807b5ac": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "dcfae115eac346aea2d29d49a1f0c6ff": { "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": "" } }, "5eccf0de6d7a495a832567d363eac3cd": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "9f094c69b5d648048c2d12cfee024ed0": { "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": "" } }, "a35a641fa2b24d098ae19b820f7f7ece": { "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_e3e07fbe153b4109ab94225ea6db7aab", "IPY_MODEL_6ac16cbbdaf54c0484d21c9225ab7fa3", "IPY_MODEL_966de8306f614fb1b8c7836e6a0e953c" ], "layout": "IPY_MODEL_a2096c9db579473586a1fef312a331c4" } }, "e3e07fbe153b4109ab94225ea6db7aab": { "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_37aa0e2dcf7c4f66a9f8712d6fd29f8d", "placeholder": "​", "style": "IPY_MODEL_e15fb4991423434d88c7d558c4e9656f", "value": "Training: 100%" } }, "6ac16cbbdaf54c0484d21c9225ab7fa3": { "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": "", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_176b18155f5d4afe8309a203a56fb21d", "max": 162, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_9322391e8d3b4fc9bc7d65b155bc8dfa", "value": 162 } }, "966de8306f614fb1b8c7836e6a0e953c": { "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_568ac912339a4886bdf5ffd18c5fdebd", "placeholder": "​", "style": "IPY_MODEL_3d9153cb2fe84399a23069295566cbcf", "value": " 162/162 [09:24<00:00,  3.16s/it]" } }, "a2096c9db579473586a1fef312a331c4": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": "hidden", "width": null } }, "37aa0e2dcf7c4f66a9f8712d6fd29f8d": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "e15fb4991423434d88c7d558c4e9656f": { "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": "" } }, "176b18155f5d4afe8309a203a56fb21d": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "9322391e8d3b4fc9bc7d65b155bc8dfa": { "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": "" } }, "568ac912339a4886bdf5ffd18c5fdebd": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "3d9153cb2fe84399a23069295566cbcf": { "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": "" } }, "8314475534ea4abb82e2d5319252a8f6": { "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_43d7b8c2d25d45ff853cc730ece820a8", "IPY_MODEL_3ab660f040284bacbb11d5f66865a7a6", "IPY_MODEL_14cc5d37b9c24937aa4def93d5dd0af3" ], "layout": "IPY_MODEL_1bd6adcb434a44b7a055043856e59da8" } }, "43d7b8c2d25d45ff853cc730ece820a8": { "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_710e712243444b118ac438b51bf768df", "placeholder": "​", "style": "IPY_MODEL_bafaec96152e406bbb333b07a2dbcf82", "value": "Training: 100%" } }, "3ab660f040284bacbb11d5f66865a7a6": { "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": "", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_516b4634c5634cdd8998c475bf33ce58", "max": 162, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_ae79745977e74081a81f5f4408431c67", "value": 162 } }, "14cc5d37b9c24937aa4def93d5dd0af3": { "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_7445a19fe0054d62b10df761f9bcfc13", "placeholder": "​", "style": "IPY_MODEL_f4bcb790f7504f6492634300e5d68d0a", "value": " 162/162 [09:25<00:00,  3.17s/it]" } }, "1bd6adcb434a44b7a055043856e59da8": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": "hidden", "width": null } }, "710e712243444b118ac438b51bf768df": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "bafaec96152e406bbb333b07a2dbcf82": { "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": "" } }, "516b4634c5634cdd8998c475bf33ce58": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "ae79745977e74081a81f5f4408431c67": { "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": "" } }, "7445a19fe0054d62b10df761f9bcfc13": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "f4bcb790f7504f6492634300e5d68d0a": { "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": "" } }, "f36e341cb68b4db785281d928bb20669": { "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_a6012d0a8a0844d29797f5a9dc77a69e", "IPY_MODEL_097cc0205cbe4730ba1f26fe08fcda7b", "IPY_MODEL_089873da405949b991ff2c74db20c82e" ], "layout": "IPY_MODEL_d607e62346ff492799b50870552e1e4b" } }, "a6012d0a8a0844d29797f5a9dc77a69e": { "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_7c09c93a5635497abbc757dcf1888b87", "placeholder": "​", "style": "IPY_MODEL_19b0083082de47909a7e9ceb906cc530", "value": "Training: 100%" } }, "097cc0205cbe4730ba1f26fe08fcda7b": { "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": "", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b40b21460988493da5dfb7e96063a9cc", "max": 162, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_bc40f837087f47109d40ece7003f0b79", "value": 162 } }, "089873da405949b991ff2c74db20c82e": { "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_f1180d2d71654009afd1ad7066f9c3cd", "placeholder": "​", "style": "IPY_MODEL_031270dc4c374c0d8dd9a89617ad8731", "value": " 162/162 [09:23<00:00,  3.19s/it]" } }, "d607e62346ff492799b50870552e1e4b": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": "hidden", "width": null } }, "7c09c93a5635497abbc757dcf1888b87": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "19b0083082de47909a7e9ceb906cc530": { "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": "" } }, "b40b21460988493da5dfb7e96063a9cc": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "bc40f837087f47109d40ece7003f0b79": { "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": "" } }, "f1180d2d71654009afd1ad7066f9c3cd": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "031270dc4c374c0d8dd9a89617ad8731": { "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": "" } }, "b397d69e5f904af2a9f7631d4d7ffafe": { "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_79b6c5c3f14c4e36a4f2680f18c10c66", "IPY_MODEL_92e732d60d204f12830f471a066c40a4", "IPY_MODEL_2ba0fe98eb584d58a7ee4493f493d8bc" ], "layout": "IPY_MODEL_df1e621247634f88ac495ed07ed65982" } }, "79b6c5c3f14c4e36a4f2680f18c10c66": { "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_f6c7eddcc95f48bcabc040f5c0eb0fd7", "placeholder": "​", "style": "IPY_MODEL_ebee843884ef4ba29886e8a3255f264f", "value": "Training: 100%" } }, "92e732d60d204f12830f471a066c40a4": { "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": "", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_e7455d0e909a44cea97e4448fdfe0c8e", "max": 162, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_97fbbf578e234bf39b084dfbadaa77ea", "value": 162 } }, "2ba0fe98eb584d58a7ee4493f493d8bc": { "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_78a70c82ee5a4ea4a83faea75b62c724", "placeholder": "​", "style": "IPY_MODEL_9fd0c0f1b96d43feb664582b344111cb", "value": " 162/162 [09:25<00:00,  3.16s/it]" } }, "df1e621247634f88ac495ed07ed65982": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": "hidden", "width": null } }, "f6c7eddcc95f48bcabc040f5c0eb0fd7": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "ebee843884ef4ba29886e8a3255f264f": { "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": "" } }, "e7455d0e909a44cea97e4448fdfe0c8e": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "97fbbf578e234bf39b084dfbadaa77ea": { "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": "" } }, "78a70c82ee5a4ea4a83faea75b62c724": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "9fd0c0f1b96d43feb664582b344111cb": { "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": "" } }, "c5b02c79e64b4cbc9f65dfc583e8528d": { "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_33747aec04af49bab880728b112e13f5", "IPY_MODEL_a29456d023c54a2eaff8af2b03c9483e", "IPY_MODEL_1e557c32160d4aa785561a4fc43fee59" ], "layout": "IPY_MODEL_f8bd3f01b9954d7997dc092f05b5924f" } }, "33747aec04af49bab880728b112e13f5": { "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_937d4380613045fa9777c4c8e6b95bfa", "placeholder": "​", "style": "IPY_MODEL_bd1d06dc735144db9fb98140c5cad232", "value": "Training: 100%" } }, "a29456d023c54a2eaff8af2b03c9483e": { "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": "", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_1908acf7b8854dcfb34e7d0bdd8fd73b", "max": 162, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_890ecee50e8a4b48b45bd7887f220422", "value": 162 } }, "1e557c32160d4aa785561a4fc43fee59": { "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_b3756685694d416d9bfcff624d4a8c73", "placeholder": "​", "style": "IPY_MODEL_ad0d40fe791d4efa863480808deb4074", "value": " 162/162 [09:25<00:00,  3.19s/it]" } }, "f8bd3f01b9954d7997dc092f05b5924f": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": "hidden", "width": null } }, "937d4380613045fa9777c4c8e6b95bfa": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "bd1d06dc735144db9fb98140c5cad232": { "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": "" } }, "1908acf7b8854dcfb34e7d0bdd8fd73b": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "890ecee50e8a4b48b45bd7887f220422": { "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": "" } }, "b3756685694d416d9bfcff624d4a8c73": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "ad0d40fe791d4efa863480808deb4074": { "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": "" } }, "bfa22ab6f9b44fc492312bb050fff5ce": { "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_0e05cdc772654d48bfb28dd56b9abe55", "IPY_MODEL_efb62c9ee4a44467bac81de1ed143686", "IPY_MODEL_95955853aa5f40dd9735fca551633d68" ], "layout": "IPY_MODEL_e6c2c10dfa874fd4937aac8a420d69bc" } }, "0e05cdc772654d48bfb28dd56b9abe55": { "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_c46ce5b5fd3644b7a02363a559f5490f", "placeholder": "​", "style": "IPY_MODEL_609fb4f64d0e482f9d05fa34b1cfbc1f", "value": "Training: 100%" } }, "efb62c9ee4a44467bac81de1ed143686": { "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": "", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_a48fb16de288435587837dd91f140476", "max": 162, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_6d93061fb50c44e29f5d897ecf008273", "value": 162 } }, "95955853aa5f40dd9735fca551633d68": { "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_8f132d9cdc61467b9c2d1002abc927ee", "placeholder": "​", "style": "IPY_MODEL_847aafdcec6543b0a6d7baa06980e885", "value": " 162/162 [09:24<00:00,  3.15s/it]" } }, "e6c2c10dfa874fd4937aac8a420d69bc": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": "hidden", "width": null } }, "c46ce5b5fd3644b7a02363a559f5490f": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "609fb4f64d0e482f9d05fa34b1cfbc1f": { "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": "" } }, "a48fb16de288435587837dd91f140476": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "6d93061fb50c44e29f5d897ecf008273": { "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": "" } }, "8f132d9cdc61467b9c2d1002abc927ee": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "847aafdcec6543b0a6d7baa06980e885": { "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": "" } }, "f73dfda53d83429b9ff7d56bf0cdf1ca": { "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_5dc6bdcaf4924f75b4c5e91295a3ef56", "IPY_MODEL_be9519ac126b4bbdbc68be7d180b7825", "IPY_MODEL_19856ea647294fc79dae49fe4152ad25" ], "layout": "IPY_MODEL_8469a7c938214583b03cc54af14301bc" } }, "5dc6bdcaf4924f75b4c5e91295a3ef56": { "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_481347062a3f4d6aacf689f38c8de583", "placeholder": "​", "style": "IPY_MODEL_23c3574e1cf045d0add22451771f431f", "value": "Training: 100%" } }, "be9519ac126b4bbdbc68be7d180b7825": { "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": "", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_422b24e3f9b14999a548044b90843330", "max": 162, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_9103fc5621c74ac7a136255b9f179ab9", "value": 162 } }, "19856ea647294fc79dae49fe4152ad25": { "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_0f44f567b8ed4f89b1c528924d20e117", "placeholder": "​", "style": "IPY_MODEL_e9a505ce77584bc1a0f6500eec7d00ce", "value": " 162/162 [09:24<00:00,  3.17s/it]" } }, "8469a7c938214583b03cc54af14301bc": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": "hidden", "width": null } }, "481347062a3f4d6aacf689f38c8de583": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "23c3574e1cf045d0add22451771f431f": { "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": "" } }, "422b24e3f9b14999a548044b90843330": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "9103fc5621c74ac7a136255b9f179ab9": { "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": "" } }, "0f44f567b8ed4f89b1c528924d20e117": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "e9a505ce77584bc1a0f6500eec7d00ce": { "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": "" } }, "531a8c64bb194bce9d32fd3e659e731f": { "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_cbd756df310f47d2b732c967bbb14428", "IPY_MODEL_c43dd51241ca46488f40f946b5a008e9", "IPY_MODEL_79a19521f57a476c88c7ea1daf61a86b" ], "layout": "IPY_MODEL_a2578afcdb0b4f30adfeb8061f692e37" } }, "cbd756df310f47d2b732c967bbb14428": { "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_28c3ff8dec7e43c0bb3507b85f6f34da", "placeholder": "​", "style": "IPY_MODEL_ac4f7ea995e743b68664526295279904", "value": "Training: 100%" } }, "c43dd51241ca46488f40f946b5a008e9": { "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": "", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_eb1c6a6a2cac42ffb48c56521617f5f3", "max": 162, "min": 0, "orientation": "horizontal", "style": "IPY_MODEL_45da6a67332a4f46987c394e380a7023", "value": 162 } }, "79a19521f57a476c88c7ea1daf61a86b": { "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_d66250cc5fa14861832637d615a7db39", "placeholder": "​", "style": "IPY_MODEL_6bf5f69abbb9479f9ef51f5febc2d46f", "value": " 162/162 [09:24<00:00,  3.18s/it]" } }, "a2578afcdb0b4f30adfeb8061f692e37": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": "hidden", "width": null } }, "28c3ff8dec7e43c0bb3507b85f6f34da": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "ac4f7ea995e743b68664526295279904": { "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": "" } }, "eb1c6a6a2cac42ffb48c56521617f5f3": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "45da6a67332a4f46987c394e380a7023": { "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": "" } }, "d66250cc5fa14861832637d615a7db39": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "6bf5f69abbb9479f9ef51f5febc2d46f": { "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", "execution_count": null, "metadata": { "id": "6eqwapdOZcH9" }, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import os\n", "import math\n", "import random\n", "import requests\n", "import zipfile\n", "from tqdm.notebook import trange, tqdm\n", "\n", "import torch\n", "import torch.nn as nn\n", "from torch import optim\n", "from torch.utils.data import DataLoader\n", "from torch.distributions import Categorical\n", "\n", "import torchvision\n", "import torchvision.datasets as datasets\n", "import torchvision.transforms as transforms\n", "\n", "from transformers import AutoTokenizer\n", "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\"\n", "\n", "torch.backends.cuda.matmul.allow_tf32 = True\n", "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")" ] }, { "cell_type": "code", "source": [ "image_size = 128\n", "batch_size = 512" ], "metadata": { "id": "IT2snqfDaiN8" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# The dataset provides 5 captions for each image, so we want to take a random one and use it\n", "class SampleCaption(nn.Module):\n", " def __call__(self, sample):\n", " return sample[random.randint(0, len(sample) - 1)]" ], "metadata": { "id": "jv2Gb4f4a3oQ" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# Transforms\n", "train_transform = transforms.Compose([transforms.Resize(image_size),\n", " transforms.RandomCrop(image_size),\n", " transforms.ToTensor(),\n", " transforms.Normalize(mean=[0.485, 0.456, 0.406],\n", " std=[0.229, 0.224, 0.225]),\n", " transforms.RandomErasing(p=0.5)])\n", "\n", "transform = transforms.Compose([transforms.Resize(image_size),\n", " transforms.CenterCrop(image_size),\n", " transforms.ToTensor(),\n", " transforms.Normalize(mean=[0.485, 0.456, 0.406],\n", " std=[0.229, 0.224, 0.225])])" ], "metadata": { "id": "C_PMsrMMbjex" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "def download_url(url, save_path, chunk_size=1024):\n", " if os.path.exists(save_path):\n", " print(f\"{save_path} already exists; skipping download.\")\n", " return\n", "\n", " print(f\"Downloading from {url} to {save_path} ...\")\n", " response = requests.get(url, stream=True)\n", " total_size = int(response.headers.get('content-length', 0))\n", "\n", " with open(save_path, 'wb') as f:\n", " for data in response.iter_content(chunk_size=chunk_size):\n", " f.write(data)\n", "\n", " print(\"Download completed.\")\n", "\n", "def extract_zip(zip_path, extract_to):\n", " with zipfile.ZipFile(zip_path, 'r') as zip_ref:\n", " # Get the top-level folder from the zip file\n", " folder_name = zip_ref.namelist()[0].split(os.sep)[0]\n", " target_path = os.path.join(extract_to, folder_name)\n", "\n", " if os.path.exists(target_path):\n", " print(f\"{target_path} already exists; skipping extraction.\")\n", " return\n", "\n", " print(f\"Extracting {zip_path} to {extract_to} ...\")\n", "\n", " with zipfile.ZipFile(zip_path, 'r') as zip_ref:\n", " zip_ref.extractall(extract_to)\n", "\n", " print(\"Extraction completed.\")\n", "\n", "def get_train_dataset_paths(base_dir=\"./coco_dataset\"):\n", " os.makedirs(base_dir, exist_ok=True)\n", "\n", " train_images_url = \"http://images.cocodataset.org/zips/train2014.zip\"\n", " ann_url = \"http://images.cocodataset.org/annotations/annotations_trainval2014.zip\"\n", "\n", " train_zip_path = os.path.join(base_dir, \"train2014.zip\")\n", " ann_zip_path = os.path.join(base_dir, \"annotations_trainval2014.zip\")\n", "\n", " download_url(train_images_url, train_zip_path)\n", " download_url(ann_url, ann_zip_path)\n", "\n", " extract_zip(train_zip_path, base_dir)\n", " extract_zip(ann_zip_path, base_dir)\n", "\n", " train_images_folder = os.path.join(base_dir, \"train2014\")\n", " train_ann_file = os.path.join(base_dir, \"annotations\", \"captions_train2014.json\")\n", "\n", " # Verify that the required files exist\n", " if not os.path.isdir(train_images_folder):\n", " raise FileNotFoundError(f\"Training images folder not found: {train_images_folder}\")\n", " if not os.path.exists(train_ann_file):\n", " raise FileNotFoundError(f\"Training annotation file not found: {train_ann_file}\")\n", "\n", " return train_images_folder, train_ann_file\n", "\n", "def get_val_dataset_paths(base_dir=\"./coco_dataset\"):\n", " os.makedirs(base_dir, exist_ok=True)\n", "\n", " val_images_url = \"http://images.cocodataset.org/zips/val2014.zip\"\n", " ann_url = \"http://images.cocodataset.org/annotations/annotations_trainval2014.zip\"\n", "\n", " val_zip_path = os.path.join(base_dir, \"val2014.zip\")\n", " ann_zip_path = os.path.join(base_dir, \"annotations_trainval2014.zip\")\n", "\n", " download_url(val_images_url, val_zip_path)\n", " download_url(ann_url, ann_zip_path)\n", "\n", " extract_zip(val_zip_path, base_dir)\n", " extract_zip(ann_zip_path, base_dir)\n", "\n", " val_images_folder = os.path.join(base_dir, \"val2014\")\n", " val_ann_file = os.path.join(base_dir, \"annotations\", \"captions_val2014.json\")\n", "\n", " # Verify that the required files exist\n", " if not os.path.isdir(val_images_folder):\n", " raise FileNotFoundError(f\"Validation images folder not found: {val_images_folder}\")\n", " if not os.path.exists(val_ann_file):\n", " raise FileNotFoundError(f\"Validation annotation file not found: {val_ann_file}\")\n", "\n", " return val_images_folder, val_ann_file" ], "metadata": { "id": "Vfr-0eLb4R7u" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "train_images_folder, train_ann_file = get_train_dataset_paths()\n", "print(\"Train Images Folder:\", train_images_folder)\n", "print(\"Train Annotation File:\", train_ann_file)\n", "\n", "val_images_folder, val_ann_file = get_val_dataset_paths()\n", "print(\"Validation Images Folder:\", val_images_folder)\n", "print(\"Validation Annotation File:\", val_ann_file)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "1tAsfA_h4V2z", "outputId": "5458d56f-0e04-4d95-bc9f-ddfe951ebf39" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Downloading from http://images.cocodataset.org/zips/train2014.zip to ./coco_dataset/train2014.zip ...\n", "Download completed.\n", "Downloading from http://images.cocodataset.org/annotations/annotations_trainval2014.zip to ./coco_dataset/annotations_trainval2014.zip ...\n", "Download completed.\n", "Extracting ./coco_dataset/train2014.zip to ./coco_dataset ...\n", "Extraction completed.\n", "Extracting ./coco_dataset/annotations_trainval2014.zip to ./coco_dataset ...\n", "Extraction completed.\n", "Train Images Folder: ./coco_dataset/train2014\n", "Train Annotation File: ./coco_dataset/annotations/captions_train2014.json\n", "Downloading from http://images.cocodataset.org/zips/val2014.zip to ./coco_dataset/val2014.zip ...\n", "Download completed.\n", "./coco_dataset/annotations_trainval2014.zip already exists; skipping download.\n", "Extracting ./coco_dataset/val2014.zip to ./coco_dataset ...\n", "Extraction completed.\n", "./coco_dataset/annotations already exists; skipping extraction.\n", "Validation Images Folder: ./coco_dataset/val2014\n", "Validation Annotation File: ./coco_dataset/annotations/captions_val2014.json\n" ] } ] }, { "cell_type": "code", "source": [ "# Datasets\n", "train_dataset = datasets.CocoCaptions(root=train_images_folder,\n", " annFile=train_ann_file,\n", " transform=train_transform,\n", " target_transform=SampleCaption())\n", "\n", "val_dataset = datasets.CocoCaptions(root=val_images_folder,\n", " annFile=val_ann_file,\n", " transform=transform,\n", " target_transform=SampleCaption())" ], "metadata": { "id": "5yFQXqOXbNox", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "ba60fbbc-b6d1-4a14-a5c3-fa2566462e56" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "loading annotations into memory...\n", "Done (t=0.67s)\n", "creating index...\n", "index created!\n", "loading annotations into memory...\n", "Done (t=0.56s)\n", "creating index...\n", "index created!\n" ] } ] }, { "cell_type": "code", "source": [ "# Dataloaders\n", "num_workers = os.cpu_count()\n", "\n", "train_dataloader = DataLoader(train_dataset,\n", " batch_size=batch_size,\n", " shuffle=True,\n", " num_workers=num_workers)\n", "val_dataloader = DataLoader(val_dataset,\n", " batch_size=batch_size,\n", " shuffle=True,\n", " num_workers=num_workers)" ], "metadata": { "id": "OmVpb8JUbl9-" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "first_iter = next(iter(val_dataloader))\n", "test_images, test_captions = first_iter\n", "\n", "test_images.shape # (batch_size=512, C=3, H=128, W=128)" ], "metadata": { "id": "mmfh4ErzboZf", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "386e8230-e957-45ca-dd9d-08bb41006c96" }, "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "torch.Size([512, 3, 128, 128])" ] }, "metadata": {}, "execution_count": 9 } ] }, { "cell_type": "code", "source": [ "plt.figure(figsize=(3,3))\n", "out = torchvision.utils.make_grid(test_images[0:1], 1, normalize=True)\n", "plt.axis(False)\n", "plt.imshow(out.numpy().transpose((1, 2, 0))) # Change to (H, W, C) for matplotlib display\n", "\n", "caption = test_captions[0]\n", "print(caption)" ], "metadata": { "id": "H7hn5Ph1buYI", "colab": { "base_uri": "https://localhost:8080/", "height": 286 }, "outputId": "d157e427-4d4c-4e75-9805-8ab5759d0ce8" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "two bunches of bananas one yellow and the other red \n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": "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\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "# Use a pre-built tokenizer from BERT\n", "tokenizer = AutoTokenizer.from_pretrained(\"distilbert-base-uncased\")" ], "metadata": { "id": "tON15J2Ab2oV", "colab": { "base_uri": "https://localhost:8080/", "height": 272, "referenced_widgets": [ "8689f9eb122341bfadc474d5f9945535", "d3e81e1e93ab4f8396092a729d2bb96c", "12a5b2b05a6f46b7a41ed9663a86d19f", "9fd74901c91641378865d4d00238fe4a", "6dea4d14b7e74367b9d5341aac937e5e", "21b8857ba3914375a73c1505d30f69fa", "49681405c07741e6a31c600c1386a65e", "7512c9bea0f84f458696915a4bddeb62", "33a3046a5bb34d47aa7aa6d2813ccadd", "51db6ac6f1d849df812710e7b546d78d", "70d322ef293a4ef9b778422005f38dfd", "c2094e12546f4923861179396005bfe0", "55c224c4d205485f8f8c2c520542305f", "3413ea9a4ab54c9f845d2acacce50633", "13c70dd52a9147fdb5149dd6ecfc3b64", "9038ef5aebc64d379029f820900de763", "3d4bc12b78b94a8cad4d28881dbfac0c", "45f96a1ac6834fa08f643d8d59f85788", "8ede7b3452aa41dab470181bd4c4f4fc", "897ba181b8714114b4129d42416d67d5", "14266f979fa3412e8cf186f17abbad2e", "542a762618f442adbe6639b926a3dc6c", "71eb0443a8f14856ab2695d7ffc3632c", "a6793737c09c4c0499c2588a1d5c5ed7", "9c76a48b7b074680bdea01bac2b397f5", "8528ed0ea7d24c8e81e527458c20f63a", "903609c6c4ce4213a9123263df08354f", "e4c203db981f47c6a672a80489ee0077", "1fc45854ec3c4424b2820170964f8368", "91d639eed8964db0a4178f07a319ee3d", "337fb2bc81864f988310cfb86ebbe5d9", "7606df358ee448eeaf27a2d7cd149370", "a5b053a863bd444584ac730db0506791", "fcea1c9149684b50a8ad48a3f2c3c7d9", "b446e32c344746bab8db34a088d1a9c9", "4ef321ba31984d8fb583f51d8fdc5007", "552cce1fcfdc4cc49a710297aeefda37", "287a642797714fe6a55cfbafb2577b11", "234c1cc36f5f43679a83a97762c7d18c", "7dc82721fa3c44b9a6d97b1fa7de7a4d", "80d9171221ba48cc89b9ec4cc8e25c5c", "2b6dbc22dbc94aad80065bd792577648", "37b4438f7ffb4fbc866d64bb173318b6", "f28aa02dab1a42a0aa87de21ad5e4416" ] }, "outputId": "bc244a9c-fc17-4d0f-a9aa-6f0e049da7ff" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n", "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co./settings/tokens), set it as secret in your Google Colab and restart your session.\n", "You will be able to reuse this secret in all of your notebooks.\n", "Please note that authentication is recommended but still optional to access public models or datasets.\n", " warnings.warn(\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "tokenizer_config.json: 0%| | 0.00/48.0 [00:00 (batch_size, num_patches, d_model)\n", " return self.proj(patches)" ], "metadata": { "id": "1uII4wABdCM4" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# Positional Encoding\n", "class PositionalEncoding(nn.Module):\n", " def __init__(self, d_model: int):\n", " \"\"\"\n", " d_model: dimensions of the embeddings (number of values in each embedding vector)\n", " \"\"\"\n", " super().__init__()\n", "\n", " # Intead of precomputing fixed values, we will compute in the forward pass based off of the sinusodiual encoding formula\n", " self.d_model = d_model\n", "\n", " def forward(self, x):\n", " device = x.device\n", " half_dim = self.d_model // 2 # Use half for sin and half for cos\n", " emb = math.log(10000.0) / (half_dim - 1)\n", " emb = torch.exp(torch.arange(half_dim, device=device) * -emb)\n", " emb = x[:, None] * emb[None, :] # (batch_size, half_dim)\n", " emb = torch.cat((emb.sin(), emb.cos()), dim=-1)\n", " return emb" ], "metadata": { "id": "hS9tf_iMfoe3" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# Multi-Head Self-Attention\n", "class MultiHeadAttention(nn.Module):\n", " def __init__(self,\n", " d_model: int = 512,\n", " n_heads: int = 8,\n", " dropout: float = 0.1):\n", " \"\"\"\n", " d_model: dimensions of the embeddings (number of values in each embedding vector)\n", " n_heads: number of self attention heads per sequence\n", " dropout: probability of dropout\n", " \"\"\"\n", " super().__init__()\n", " assert d_model % n_heads == 0 # We want to make sure that the dimensions are split evenly among the attention heads.\n", " self.d_model = d_model\n", " self.n_heads = n_heads\n", " self.d_key = d_model // n_heads\n", "\n", " self.Wq = nn.Linear(d_model, d_model) # Learnable weights for query\n", " self.Wk = nn.Linear(d_model, d_model) # Learnable weights for key\n", " self.Wv = nn.Linear(d_model, d_model) # Learnable weights for value\n", " self.Wo = nn.Linear(d_model, d_model) # Learnable weights for output\n", "\n", " self.dropout = nn.Dropout(p=dropout)\n", "\n", " def forward(self,\n", " query,\n", " key,\n", " value,\n", " mask = None):\n", " \"\"\"\n", " query: (batch_size, q_length, d_model)\n", " key: (batch_size, k_length, d_model)\n", " value: (batch_size, s_length, d_model)\n", " \"\"\"\n", " batch_size = key.size(0)\n", "\n", " # Matrix multiplication for Q, K, and V tensors\n", " Q = self.Wq(query)\n", " K = self.Wk(key)\n", " V = self.Wv(value)\n", "\n", " # Split each tensor into heads\n", " Q = Q.view(batch_size, -1, self.n_heads, self.d_key).permute(0, 2, 1, 3) # (batch_size, n_heads, q_length, d_key)\n", " K = K.view(batch_size, -1, self.n_heads, self.d_key).permute(0, 2, 1, 3) # (batch_size, n_heads, k_length, d_key)\n", " V = V.view(batch_size, -1, self.n_heads, self.d_key).permute(0, 2, 1, 3) # (batch_size, n_heads, v_length, d_key)\n", "\n", " # Scaled dot product\n", " # K^T becomees (batch_size, n_heads, d_key, k_length)\n", " scaled_dot_product = torch.matmul(Q, K.permute(0, 1, 3, 2)) / math.sqrt(self.d_key) # (batch_size, n_heads, q_length, k_length)\n", "\n", " if mask is not None:\n", " scaled_dot_product = scaled_dot_product.masked_fill(mask == 0, -float(\"inf\")) # Filling it with 0 would result in 1 after the mask because e^0 = 1. Intead we fill it with an infinitley large negative number\n", "\n", " # Softmax function for attention probabilities\n", " attention_probs = torch.softmax(scaled_dot_product, dim=-1)\n", "\n", " # Multiply by V to get attention with respect to the values\n", " A = torch.matmul(self.dropout(attention_probs), V)\n", "\n", " # Reshape attention back to (batch_size, q_length, d_model)\n", " A = A.permute(0, 2, 1, 3).contiguous().view(batch_size, -1, self.n_heads * self.d_key)\n", "\n", " # Pass through the final linear layer\n", " output = self.Wo(A)\n", "\n", " return output, attention_probs # Output shape: (batch_size, q_length, d_model), Attention probs shape: (batch_size, n_heads, q_length, k_length)" ], "metadata": { "id": "epxhjgaEhn1g" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# Position-Wise Feed Forward Network (FFN)\n", "class PositionwiseFeedForward(nn.Module):\n", " def __init__(self,\n", " d_model: int,\n", " dropout: float = 0.1):\n", " \"\"\"\n", " d_model: dimensions of the embeddings (number of values in each embedding vector)\n", " dropout: probability of dropout\n", " \"\"\"\n", " super().__init__()\n", "\n", " self.ffn = nn.Sequential(\n", " nn.Linear(in_features=d_model, out_features=(d_model * 4)),\n", " nn.GELU(),\n", " nn.Linear(in_features=(d_model * 4), out_features=d_model),\n", " nn.Dropout(p=dropout)\n", " )\n", "\n", " def forward(self, x):\n", " return self.ffn(x)" ], "metadata": { "id": "4-ARkWk0lGqQ" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# Encoder Layer\n", "class EncoderLayer(nn.Module):\n", " def __init__(self,\n", " d_model: int,\n", " n_heads: int,\n", " dropout: float = 0.1):\n", " \"\"\"\n", " d_model: dimensions of the embeddings (number of values in each embedding vector)\n", " n_heads: number of self attention heads per sequence\n", " dropout: probability of dropout\n", " \"\"\"\n", " super().__init__()\n", "\n", " # Multi-Head Self-Attention sublayer\n", " self.attention = MultiHeadAttention(d_model=d_model, n_heads=n_heads, dropout=dropout)\n", " self.attention_layer_norm = nn.LayerNorm(d_model) # Layer normalization\n", "\n", " # Position-wise Feed-forward Network\n", " self.position_wise_ffn = PositionwiseFeedForward(d_model=d_model, dropout=dropout)\n", " self.ffn_layer_norm = nn.LayerNorm(d_model) # Layer normalization\n", "\n", " self.dropout = nn.Dropout(p=dropout)\n", "\n", " def forward(self, src):\n", " \"\"\"\n", " src: embedded sequences (batch_size, seq_length, d_model)\n", " \"\"\"\n", " # Multi-Head Attention\n", "\n", " _src, attention_probs = self.attention(src, src, src, None) # Q, K, V, src_mask: we don't need a source mask because all images are the same dimension\n", "\n", " # Residual Addition and Layer Normalization\n", " src = self.attention_layer_norm(src + self.dropout(_src)) # We do residual addition by adding back the src (the embeddings) to the output of Self-Attention\n", "\n", " # Position-wise Feed-forward Network\n", " _src = self.position_wise_ffn(src)\n", "\n", " # Residual Addition and Layer Normalization\n", " src = self.ffn_layer_norm(src + self.dropout(_src))\n", "\n", " return src, attention_probs" ], "metadata": { "id": "L8Grli_7i-PV" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# The Encoder that takes in images and returns the encoding to be passed into the decoder\n", "class Encoder(nn.Module):\n", " def __init__(self,\n", " image_size: int,\n", " in_channels: int,\n", " patch_size: int = 16,\n", " d_model: int = 128,\n", " n_layers: int = 3,\n", " n_heads: int = 4,\n", " dropout: float = 0.1):\n", " \"\"\"\n", " d_model: dimensions of the embeddings (number of values in each embedding vector)\n", " n_layers: number of encoder layers in the encoder block\n", " n_heads: number of self attention heads per sequence\n", " dropout: probability of dropout\n", " \"\"\"\n", " super().__init__()\n", "\n", " self.patch_size = patch_size\n", "\n", " self.patch_emb = PatchEmbedding(patch_size=patch_size, in_channels=in_channels, d_model=d_model)\n", "\n", " seq_length = (image_size // patch_size)**2\n", "\n", " # Image src is going to use a learnable positional encoding\n", " self.pos_embedding = nn.Parameter(torch.empty(1, seq_length, d_model).normal_(std=0.02))\n", "\n", " # Create n_layers encoders\n", " self.layers = nn.ModuleList([EncoderLayer(d_model=d_model, n_heads=n_heads, dropout=dropout) for layer in range(n_layers)])\n", " self.dropout = nn.Dropout(p=dropout)\n", "\n", " def forward(self, src):\n", " \"\"\"\n", " src: embedded sequences (batch_size, seq_length, d_model)\n", " \"\"\"\n", "\n", " # Extract the patches and apply a linear layer\n", " batch_size = src.shape[0]\n", " src = self.patch_emb(src)\n", "\n", " # Add the learned positional embedding\n", " src = src + self.pos_embedding\n", "\n", " # Pass the sequences through each encoder layer\n", " for layer in self.layers:\n", " src, attention_probs = layer(src)\n", "\n", " self.attention_probs = attention_probs\n", "\n", " return src" ], "metadata": { "id": "DJwNAsFT-3Jl" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# Decoder Layer\n", "class DecoderLayer(nn.Module):\n", " def __init__(self,\n", " d_model: int,\n", " n_heads: int,\n", " dropout: float = 0.1):\n", " \"\"\"\n", " d_model: dimensions of the embeddings (number of values in each embedding vector)\n", " n_heads: number of self attention heads per sequence\n", " dropout: probability of dropout\n", " \"\"\"\n", " super().__init__()\n", "\n", " # Masked Multi-Head Self-Attention sublayer\n", " self.masked_attention = MultiHeadAttention(d_model=d_model, n_heads=n_heads, dropout=dropout)\n", " self.masked_attention_layer_norm = nn.LayerNorm(d_model) # Layer normalization\n", "\n", " # Multi-Head Self-Attention sublayer\n", " self.attention = MultiHeadAttention(d_model=d_model, n_heads=n_heads, dropout=dropout)\n", " self.attention_layer_norm = nn.LayerNorm(d_model) # Layer normalization\n", "\n", " # Position-wise Feed-forward Network\n", " self.position_wise_ffn = PositionwiseFeedForward(d_model=d_model, dropout=dropout)\n", " self.ffn_layer_norm = nn.LayerNorm(d_model) # Layer normalization\n", "\n", " self.dropout = nn.Dropout(p=dropout)\n", "\n", " def forward(self,\n", " trg,\n", " src,\n", " trg_mask):\n", " \"\"\"\n", " trg: embedded captions (batch_size, trg_seq_length, d_model)\n", " src: embedded images (batch_size, src_seq_length, d_model)\n", " trg_mask: mask for the captions preventing peeking at future tokens (batch_size, 1, trg_seq_length, trg_seq_length)\n", " \"\"\"\n", "\n", " # Masked Multi-Head Attention\n", "\n", " # The target mask is used to prevent the model from seeing future tokens. This ensures that the prediction is made solely based on past and present tokens.\n", " _trg, masked_attention_probs = self.masked_attention(trg, trg, trg, trg_mask) # Q, K, V, mask\n", "\n", " # Residual Addition and Layer Normalization\n", " trg = self.masked_attention_layer_norm(trg + self.dropout(_trg))\n", "\n", " # Multi-Head Attention - This time, we also pass in the output of the encoder layers as src.\n", " # This is important because this allows us to keep track of and learn relationships between the input and output tokens.\n", " _trg, attention_probs = self.attention(trg, src, src, None) # Q, K, V, mask\n", " # Residual Addition and Layer Normalization\n", " trg = self.attention_layer_norm(trg + self.dropout(_trg))\n", "\n", " # Position-wise Feed-forward Network\n", " _trg = self.position_wise_ffn(trg)\n", " # Residual Addition and Layer Normalization\n", " trg = self.ffn_layer_norm(trg + self.dropout(_trg))\n", "\n", " return trg, attention_probs, masked_attention_probs" ], "metadata": { "id": "DqwuhhTflMgN" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# The Decoder Module that takes the encoded images from the encoder and generates captions\n", "class Decoder(nn.Module):\n", " def __init__(self,\n", " vocab_size: int,\n", " d_model: int = 128,\n", " n_layers: int = 3,\n", " n_heads: int = 4,\n", " dropout: float = 0.1):\n", " \"\"\"\n", " vocab_size: size of the target vocabulary\n", " d_model: dimensions of the embeddings (number of values in each embedding vector)\n", " n_layers: number of encoder layers in the encoder block\n", " n_heads: number of self attention heads per sequence\n", " dropout: probability of dropout\n", " \"\"\"\n", " super().__init__()\n", "\n", " self.embedding = nn.Embedding(vocab_size, d_model)\n", "\n", " self.embedding.weight.data = 0.001 * self.embedding.weight.data\n", "\n", " # Initialize sinusoidal positional embeddings\n", " self.pos_emb = PositionalEncoding(d_model=d_model)\n", "\n", " # Create n_layers decoders\n", " self.layers = nn.ModuleList([DecoderLayer(d_model=d_model, n_heads=n_heads, dropout=dropout) for layer in range(n_layers)])\n", " self.dropout = nn.Dropout(p=dropout)\n", "\n", " # Output layer\n", " self.Wo = nn.Linear(in_features=d_model, out_features=vocab_size)\n", "\n", " def make_trg_mask(self, trg):\n", " seq_length = trg.shape[1]\n", "\n", " trg_mask = torch.tril(torch.ones((seq_length, seq_length), device=trg.device)).bool()\n", "\n", " return trg_mask.unsqueeze(0).unsqueeze(0) # (batch_size=1, n_heads=1, seq_length, seq_length)\n", "\n", " def forward(self,\n", " trg,\n", " src):\n", " \"\"\"\n", " trg: target sequences (batch_size, trg_seq_length, d_model)\n", " src: embedding images (batch_size, src_seq_length, d_model)\n", " \"\"\"\n", "\n", " # Embed the target captions\n", " trg = self.embedding(trg)\n", " batch_size, l, h = trg.shape\n", "\n", " trg_index = torch.arange(l, device=trg.device)\n", " pos_emb = self.pos_emb(trg_index).reshape(1, l, h).expand(batch_size, l, h)\n", " # Add the fixed sinusodial positional embedding\n", " trg += pos_emb\n", "\n", " # Create a target mask for the target captions to prevent the model from peeking at future tokens\n", " trg_mask = self.make_trg_mask(trg) # (batch_size, 1, trg_seq_length, trg_seq_length)\n", "\n", " # Pass the sequences through each decoder layer\n", " for layer in self.layers:\n", " trg, attention_probs, masked_attention_probs = layer(trg, src, trg_mask)\n", "\n", " self.attention_probs = attention_probs\n", " self.masked_attention_probs = masked_attention_probs # (batch_size, n_heads, trg_seq_len, src_seq_len) trg_seq_len: length of the target caption \\ src_seq_len: number of patches from the encoder\n", "\n", " # Final linear output layer\n", " return self.Wo(trg)" ], "metadata": { "id": "FoqagQotlgOO" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "class CaptioningTransformer(nn.Module):\n", " def __init__(self,\n", " image_size: int,\n", " in_channels: int,\n", " vocab_size: int,\n", " device,\n", " patch_size: int = 16,\n", " d_model: int = 128,\n", " n_layers: int = 3,\n", " n_heads: int = 4):\n", " super().__init__()\n", "\n", " self.device = device\n", "\n", " # Create an encoder and decoder with specified parameters\n", " self.encoder = Encoder(image_size=image_size,\n", " in_channels=in_channels,\n", " patch_size=patch_size,\n", " d_model=d_model,\n", " n_layers=n_layers,\n", " n_heads=n_heads)\n", "\n", " self.decoder = Decoder(vocab_size=vocab_size,\n", " d_model=d_model,\n", " n_layers=n_layers,\n", " n_heads=n_heads)\n", "\n", " def forward(self, src, trg):\n", " # Encoder layers\n", " src = self.encoder(src) # (batch_size, src_seq_length, d_model)\n", "\n", " # Decoder layers\n", " output = self.decoder(trg, src) # Pass in both the target (for Masked Multi-Head Self-Attention) and source for (Cross-Attention)\n", "\n", " return output" ], "metadata": { "id": "6ZHdShJ2ovvq" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "d_model = 192 # Dimensioniality of embedded tokens\n", "n_layers = 6 # Number of Encoder and Decoder layers\n", "n_heads = 8 # Number of heads for Attention\n", "patch_size = 8 # Image size of 128x128 leads to 256 image patches per image with a patch_size=8\n", "\n", "lr = 0.0005\n", "epochs = 10\n", "\n", "model = CaptioningTransformer(image_size=image_size,\n", " in_channels=test_images.shape[1],\n", " vocab_size=tokenizer.vocab_size,\n", " device=device,\n", " patch_size=patch_size,\n", " n_layers=n_layers,\n", " d_model=d_model,\n", " n_heads=n_heads).to(device)\n", "\n", "optimizer = optim.AdamW(params=model.parameters(), lr=lr)\n", "loss_fn = nn.CrossEntropyLoss(reduction=\"none\")\n", "\n", "scaler = torch.cuda.amp.GradScaler() # Apply gradient scaling to mitigate vanishing gradients problem\n", "td = TokenDrop(0.25)" ], "metadata": { "id": "o8AjFTe1qB5E", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "8b432c46-eb0b-406b-9815-514cf43230ad" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ ":22: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.\n", " scaler = torch.cuda.amp.GradScaler()\n" ] } ] }, { "cell_type": "code", "source": [ "num_model_params = 0\n", "for param in model.parameters():\n", " num_model_params += param.flatten().shape[0]\n", "\n", "print(f\"This model has {num_model_params} parameters\")" ], "metadata": { "id": "vXM2KEWaqsu7", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "5976b6aa-9b25-4732-a4b8-1f0be33fdae1" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "This model has 18067194 parameters\n" ] } ] }, { "cell_type": "code", "source": [ "train_model = False\n", "\n", "model_path = \"image_captioning_model.pt\"\n", "if os.path.exists(model_path):\n", " print(f\"Loading model from {model_path}...\")\n", " model.load_state_dict(torch.load(model_path, map_location=device))" ], "metadata": { "id": "QVMXwTXtwb9P", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "77ebaf71-d734-4fcd-ebea-b5f3fa12ef4c" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Loading model from image_captioning_model.pt...\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ ":6: 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", " model.load_state_dict(torch.load(model_path, map_location=device))\n" ] } ] }, { "cell_type": "markdown", "source": [ "Let's say that we have a target of: \"**[CLS] the big red bus [SEP]**\". For simplicity, let’s say that we have a batch size of 1, a sequence length of 6 tokens, a d_model of 192, and 8 attention heads. This means that key and query has a dimension of 24.\n", "\n", "Using teacher forcing, the input to the decoder is \"[CLS] the big red bus\", and the model is trained to predict \"the big red bus [SEP]\".\n", "\n", "We can pass the text through the tokenizer (for this example it will be the BERT tokenizer) to get a sequence of `[101, 11, 57, 234, 89, 102]`, where 101 represents [CLS] and 102 represents [SEP]. This sequence has a shape of **`(batch_size=1, seq_len=6)`**.\n", "\n", "**Teacher forcing means that we use the true target value to predict the next token. This has many benefits as in training, we just want to worry about predicting the next word, so this allows us to more accurately calculate the loss and converge on a minimum loss faster.**\n", "\n", "After the tokens are passed through the embedding layer and positional encodings are added, they have a shape of `(batch_size=1, seq_len=6, d_model=192)`.\n", "\n", "During the decoder layer, we generate a target mask with the lower triangle being set to 1. This should have a shape of `(batch_size=1, n_heads=1, seq_len=6, seq_len=6)`.\n", "\n", "$$\n", "\\begin{bmatrix}\n", "1 & 0 & 0 & 0 & 0 \\\\\n", "1 & 1 & 0 & 0 & 0 \\\\1 & 1 & 1 & 0 & 0 \\\\1 & 1 & 1 & 1 & 0 \\\\1 & 1 & 1 & 1 & 1 \\\\\n", "\\end{bmatrix}\n", "$$\n", "\n", "This means that for the first sequence, we want to predict the next word only being given [CLS]. For the second sequence, we want to predict the next word only being given [CLS] the.\n", "\n", "During Masked Multi-Head Attention, we first split the d_model into n_heads. This gives us a size of `(batch_size=1, n_heads=8, seq_len=6, d_model=24)`. Next, we compute the scaled dot product between $Q$ and $K^T$. Multiplying Q (batch_size=1, n_heads=8, seq_len=6, d_model=24) and $K^T$ (batch_size=1, n_heads=8, d_model=24, seq_len=6), gives us a shape of `(batch_size=1, n_heads=8, seq_len=6, seq_len=6)`. Each score is also divided by $\\sqrt{24}$ to stabilize gradients.\n", "\n", "In the target mask, wherever the mask is 0 (indicating future positions), the corresponding score is set to a large negative value (like $- \\infty$) so that after softmax the probability becomes zero.\n", "\n", "Applying the target mask to the scaled dot product, gives us a matrix with the same size of`(batch_size=1, n_heads=8, seq_len=6, seq_len=6)`, but with the positions that we want to be masked.\n", "\n", "This means that for every head, we have 6 sequences each with a sequence length of 6, with each row having an increasing number of tokens that it uses to predict the next word.\n", "\n", "The matrix at this point would look something like this for every head:\n", "\n", "$$\n", "\\begin{bmatrix}\n", "[CLS] & - \\infty & - \\infty & - \\infty & - \\infty \\\\\n", "[CLS] & the & - \\infty & - \\infty & - \\infty \\\\ [CLS] & the & big & - \\infty & - \\infty \\\\ [CLS] & the & big & red & - \\infty \\\\ [CLS] & the & big & red & bus \\\\\n", "\\end{bmatrix}\n", "$$\n", "\n", "**(Note that where we have the name of each token is instead just the attention score for that specific token.)**\n", "\n", "We can then apply the softmax over the last dimension (the tokens in each row). The positions that have $- \\infty$ are set to 0 through the softmax function.\n", "\n", "We then multiply the attention scores which have a shape of (batch_size=1, n_heads=8, seq_len=6, seq_len=6) by the V matrix which has a shape of (batch_size=1, n_heads=8, seq_len=6, d_model=24). This results in a weighted sum for each token with a shape of `(batch_size=1, n_heads=8, seq_len=6, d_model=24)`.\n", "\n", "When the attention scores are multiplied by the V matrix, at each row of the output matrix of the softmax function, each score is multiplied by a value from the V matrix. This gives us a new matrix, where each row is a 24 dimensional vector that encodes the context for the specific token.\n", "\n", "For example, let’s denote the values of the V vector at a certain head as: `[v0, v1, v2, v3, v4, v5]`, where each $v_i$ is 24 dimensions. Let’s say that the attention mechanism produces these values as outputs of the softmax function at a certain token: `[a0 = 0.50, a1 = 0.30, a2 = 0.20, a3 = 0.00, a4 = 0.00, a5 = 0.00]`. This means that at this position, the model is allowed to see only tokens 0, 1, and 2 because of the target mask. The weighted sum for token this token in its head is computed as : $\\text{output}[3] = 0.50 \\times v0 + 0.30 \\times v1 + 0.20 \\times v2$\n", "\n", "Lastly, we concatenate the heads and permute which gives us a final shape of `(batch_size=1, seq_len=6, d_model=192)`: the same shape as the original.\n", "\n", "Although the causal mask prevents each token from seeing “future” tokens, the decoder processes the entire sequence in one forward pass. This means that it computes output representations for all time steps in parallel." ], "metadata": { "id": "KbZpuGg8RB1u" } }, { "cell_type": "code", "source": [ "if train_model:\n", " for epoch in trange(0, epochs, leave=False, desc=\"Epoch\"):\n", " model.train()\n", "\n", " epoch_loss = 0\n", " for images, captions in tqdm(train_dataloader, desc=\"Training\", leave=False):\n", " images = images.to(device)\n", "\n", " # Tokenize the target captions\n", " tokens = tokenizer(captions, padding=True, truncation=True, return_tensors=\"pt\")\n", " token_ids = tokens['input_ids'].to(device)\n", " attention_mask = tokens[\"attention_mask\"].to(device) # Use the padding mask to ignore padding tokens so that the loss isn't penialized by it\n", "\n", " input_tokens = token_ids[:, :-1] # Get rid of the end-of-sequence token from each sequence because we want to predict it\n", " target_ids = token_ids[:, 1:] # Get rid of the start-of-sequence token from each sequence because it is not predicted by the model (we want it to match up with the predicted tokens for the loss calculation)\n", " target_mask = attention_mask[:, 1:] # Get rid of the start-of-sequence token from each sequence in the attention mask to match the attention mask with the target_ids\n", "\n", " tokens_in = td(input_tokens)\n", "\n", " # Switch to lower precision floats for certain tasks for faster computations\n", " with torch.cuda.amp.autocast():\n", " # Forward pass\n", "\n", " # For each sequence, every word in the last dim for vocab_size has a prob corresponding to each token.\n", " # The target mask is used for teacher forcing when the target sequence is put over the target mask to get a matrix that represents the different sequences that we use for the trgs. Each new row of the matrix is a sequence with one more word for teacher forcing.\n", " pred = model(images, tokens_in) # Shape: (batch_size, trg_seq_len, vocab_size)\n", "\n", " # Transpose makes the shape of the preds: (batch_size, vocab_size, trg_seq_len) We need to do this because CrossEntropyLoss wants second dimension to be vocab_size\n", " loss = (loss_fn(pred.transpose(1, 2), target_ids) * target_mask).mean() # Multiply by the target mask because we want the loss to only be calculated on the valid non-padding tokens\n", "\n", " epoch_loss += loss.item()\n", "\n", " # Optimizer Zero Grad\n", " optimizer.zero_grad()\n", " # Backpropagation\n", " scaler.scale(loss).backward()\n", " # Optimizer Step\n", " scaler.step(optimizer)\n", " scaler.update()\n", "\n", " epoch_loss /= len(train_dataloader)\n", "\n", " message = f\"Epoch: {epoch + 1} | Loss: {epoch_loss:.5f} --> STORED\"\n", "\n", " torch.save(model.state_dict(), model_path)\n", "\n", " print(message)" ], "metadata": { "id": "ctji00ND2qcm", "colab": { "base_uri": "https://localhost:8080/", "height": 231, "referenced_widgets": [ "bbe16ab226ca4210ab44765f4491242d", "409de978963d4f5da67ff065e6f0bcb9", "0a56bc7bbb4c44c58833e6ae904086e2", "bd23bb9fcd6845c697b63403418f5734", "432094a38b1d43fc9b97eb91cc8ed7e0", "c81fb7d32198487eb6fc60cbc6a9509d", "346be1f3c7694274b47bb0720647a26e", "f139b3cb935b471f9dd073f017cd28b0", "725e76bd2eb44627a5e80b92b3e9b1c5", "4634d9c3ba3d4b5291ef65c1169afd52", "253e96918f3048698df0c415eacff5a5", "1f355e5e594345eaa7d27e55b2a2ae74", "d80c778747254abaa66b3c28f5f1b745", "7d547c8474754f54844945859d5ade2b", "ca3c9138905f49e990e3b97d3c01c5f1", "14847543509a48f2a79a649b7c9dcfe9", "15cc7b4ca53c426595377cd953e9ef58", "c0437007780348588374fc42b180165b", "6cf1b689e439451284763615ab7f4f69", "d7e352fa6aa0460191633472ffd55ab0", "e4d19f84d68649498f110834b3347349", "50d572cc7ea74872973a544f548d75fd", "eb7e20f5fe34463a9a77fa062f28a7a1", "02bb749c65804cec892579210aa4517e", "4074cec950204ad5aced584aa4d84a87", "5a2dc2abd0fa4766a105196ac13818dd", "083b0cdbe8714c9a95ed4d9251d73d32", "ce28cea9cca24ae1bf1d5eeccaf7f3a0", "f5153b30658849a690eb3f0afeb1192e", "adc0c967cec7402d90f5d50bf807b5ac", "dcfae115eac346aea2d29d49a1f0c6ff", "5eccf0de6d7a495a832567d363eac3cd", "9f094c69b5d648048c2d12cfee024ed0", "a35a641fa2b24d098ae19b820f7f7ece", "e3e07fbe153b4109ab94225ea6db7aab", "6ac16cbbdaf54c0484d21c9225ab7fa3", "966de8306f614fb1b8c7836e6a0e953c", "a2096c9db579473586a1fef312a331c4", "37aa0e2dcf7c4f66a9f8712d6fd29f8d", "e15fb4991423434d88c7d558c4e9656f", "176b18155f5d4afe8309a203a56fb21d", "9322391e8d3b4fc9bc7d65b155bc8dfa", "568ac912339a4886bdf5ffd18c5fdebd", "3d9153cb2fe84399a23069295566cbcf", "8314475534ea4abb82e2d5319252a8f6", "43d7b8c2d25d45ff853cc730ece820a8", "3ab660f040284bacbb11d5f66865a7a6", "14cc5d37b9c24937aa4def93d5dd0af3", "1bd6adcb434a44b7a055043856e59da8", "710e712243444b118ac438b51bf768df", "bafaec96152e406bbb333b07a2dbcf82", "516b4634c5634cdd8998c475bf33ce58", "ae79745977e74081a81f5f4408431c67", "7445a19fe0054d62b10df761f9bcfc13", "f4bcb790f7504f6492634300e5d68d0a", "f36e341cb68b4db785281d928bb20669", "a6012d0a8a0844d29797f5a9dc77a69e", "097cc0205cbe4730ba1f26fe08fcda7b", "089873da405949b991ff2c74db20c82e", "d607e62346ff492799b50870552e1e4b", "7c09c93a5635497abbc757dcf1888b87", "19b0083082de47909a7e9ceb906cc530", "b40b21460988493da5dfb7e96063a9cc", "bc40f837087f47109d40ece7003f0b79", "f1180d2d71654009afd1ad7066f9c3cd", "031270dc4c374c0d8dd9a89617ad8731", "b397d69e5f904af2a9f7631d4d7ffafe", "79b6c5c3f14c4e36a4f2680f18c10c66", "92e732d60d204f12830f471a066c40a4", "2ba0fe98eb584d58a7ee4493f493d8bc", "df1e621247634f88ac495ed07ed65982", "f6c7eddcc95f48bcabc040f5c0eb0fd7", "ebee843884ef4ba29886e8a3255f264f", "e7455d0e909a44cea97e4448fdfe0c8e", "97fbbf578e234bf39b084dfbadaa77ea", "78a70c82ee5a4ea4a83faea75b62c724", "9fd0c0f1b96d43feb664582b344111cb", "c5b02c79e64b4cbc9f65dfc583e8528d", "33747aec04af49bab880728b112e13f5", "a29456d023c54a2eaff8af2b03c9483e", "1e557c32160d4aa785561a4fc43fee59", "f8bd3f01b9954d7997dc092f05b5924f", "937d4380613045fa9777c4c8e6b95bfa", "bd1d06dc735144db9fb98140c5cad232", "1908acf7b8854dcfb34e7d0bdd8fd73b", "890ecee50e8a4b48b45bd7887f220422", "b3756685694d416d9bfcff624d4a8c73", "ad0d40fe791d4efa863480808deb4074", "bfa22ab6f9b44fc492312bb050fff5ce", "0e05cdc772654d48bfb28dd56b9abe55", "efb62c9ee4a44467bac81de1ed143686", "95955853aa5f40dd9735fca551633d68", "e6c2c10dfa874fd4937aac8a420d69bc", "c46ce5b5fd3644b7a02363a559f5490f", "609fb4f64d0e482f9d05fa34b1cfbc1f", "a48fb16de288435587837dd91f140476", "6d93061fb50c44e29f5d897ecf008273", "8f132d9cdc61467b9c2d1002abc927ee", "847aafdcec6543b0a6d7baa06980e885", "f73dfda53d83429b9ff7d56bf0cdf1ca", "5dc6bdcaf4924f75b4c5e91295a3ef56", "be9519ac126b4bbdbc68be7d180b7825", "19856ea647294fc79dae49fe4152ad25", "8469a7c938214583b03cc54af14301bc", "481347062a3f4d6aacf689f38c8de583", "23c3574e1cf045d0add22451771f431f", "422b24e3f9b14999a548044b90843330", "9103fc5621c74ac7a136255b9f179ab9", "0f44f567b8ed4f89b1c528924d20e117", "e9a505ce77584bc1a0f6500eec7d00ce", "531a8c64bb194bce9d32fd3e659e731f", "cbd756df310f47d2b732c967bbb14428", "c43dd51241ca46488f40f946b5a008e9", "79a19521f57a476c88c7ea1daf61a86b", "a2578afcdb0b4f30adfeb8061f692e37", "28c3ff8dec7e43c0bb3507b85f6f34da", "ac4f7ea995e743b68664526295279904", "eb1c6a6a2cac42ffb48c56521617f5f3", "45da6a67332a4f46987c394e380a7023", "d66250cc5fa14861832637d615a7db39", "6bf5f69abbb9479f9ef51f5febc2d46f" ] }, "outputId": "afc2810f-6a69-44cb-8afc-ae5a948470ad" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "Epoch: 0%| | 0/10 [00:00:23: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\n", " with torch.cuda.amp.autocast():\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Epoch: 1 | Loss: 1.22564 --> STORED\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "Training: 0%| | 0/162 [00:00 STORED\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "Training: 0%| | 0/162 [00:00 STORED\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "Training: 0%| | 0/162 [00:00 STORED\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "Training: 0%| | 0/162 [00:00 STORED\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "Training: 0%| | 0/162 [00:00 STORED\n" ] } ] }, { "cell_type": "code", "source": [ "torch.save(model.state_dict(), model_path)" ], "metadata": { "id": "5W6J6W3VGJfO" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "val_dataiter = next(iter(val_dataloader))\n", "\n", "test_images, test_captions = val_dataiter" ], "metadata": { "id": "jaoIrf2G24pZ" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "test_image = test_images[0].unsqueeze(0)" ], "metadata": { "id": "dIImq1RM25xz" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "plt.figure(figsize = (3,3))\n", "out = torchvision.utils.make_grid(test_image, 1, normalize=True)\n", "plt.axis(False)\n", "plt.imshow(out.numpy().transpose((1, 2, 0)))\n", "print(test_captions[0])" ], "metadata": { "id": "eIT6RmOR29p3", "colab": { "base_uri": "https://localhost:8080/", "height": 286 }, "outputId": "a94cab53-0b8d-4662-ae39-1e7d6dc17dd9" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "A train with a red and yellow engine on a railroad track.\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": "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\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "# Add the Start-Of-Sentence token to the prompt to signal the network to start generating the caption\n", "sos_token = 101 * torch.ones(1, 1).long()\n", "\n", "# Set the temperature for sampling during generation\n", "temp = 0.5" ], "metadata": { "id": "Ggd9kRSC2-uo" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "def make_prediction(model, sos_token, eos_token, image, max_len, temp, device):\n", " log_tokens = [sos_token] # Start with the start-of-sequence token\n", " model.eval()\n", "\n", " with torch.inference_mode():\n", " # Use the encoder and decoder seperateley so that we can avoid re-computting the image_embeddings every forward pass through the transformer\n", "\n", " with torch.cuda.amp.autocast():\n", " # Pass the image through the encoder to get the image embeddings\n", " image_embedding = model.encoder(image.to(device)) # Encoder Output Shape: (1, num_patches, d_model)\n", "\n", " # Generate the target caption tokens\n", " for i in range(max_len):\n", " input_tokens = torch.cat(log_tokens, 1)\n", "\n", " # Trg: current target captions, Src: Image Embeddings\n", " data_pred = model.decoder(input_tokens.to(device), image_embedding)\n", " # Data pred shape: (batch_size=1, seq_length, vocab_size)\n", "\n", " # Randomly sample based off of the probabilities (highest prob has highest chance of being chosen), and get the predicted token from the vocab_size\n", " dist = Categorical(logits=data_pred[:, -1] / temp) # Take the logits for the last token (newly generated token) from the output; Shape: (1, vocab_size)\n", " next_tokens = dist.sample().reshape(1, 1)\n", "\n", " log_tokens.append(next_tokens.cpu())\n", "\n", " if next_tokens.item() == eos_token:\n", " break\n", "\n", " return log_tokens" ], "metadata": { "id": "KKuq7Lk13Ai6" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "log_tokens = make_prediction(model=model,\n", " sos_token=sos_token,\n", " eos_token=102,\n", " image=test_image,\n", " max_len=50,\n", " temp=temp,\n", " device=device)" ], "metadata": { "id": "gr4oPmf0s4T9", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "46d7a250-a8be-4290-a84d-64a752fc1d81" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ ":8: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\n", " with torch.cuda.amp.autocast():\n" ] } ] }, { "cell_type": "code", "source": [ "pred_text = torch.cat(log_tokens, 1)\n", "print(pred_text)\n", "\n", "decoded_text = tokenizer.decode(pred_text[0], skip_special_tokens=True) # Decode the target tokens" ], "metadata": { "id": "PcTgYkD13I4C", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "32c8f397-9e8f-454b-92f8-f36dd60ed049" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "tensor([[ 101, 1037, 3345, 7118, 2091, 3162, 2083, 1037, 3541, 10833,\n", " 1012, 102]])\n" ] } ] }, { "cell_type": "code", "source": [ "print(decoded_text)\n", "\n", "plt.figure(figsize=(3,3))\n", "out = torchvision.utils.make_grid(test_image, 1, normalize=True)\n", "plt.axis(False)\n", "plt.imshow(out.numpy().transpose((1, 2, 0)))" ], "metadata": { "id": "ip4r5SIm3J_G", "colab": { "base_uri": "https://localhost:8080/", "height": 304 }, "outputId": "f17aa5fc-3ef0-450d-a09e-0c748df417ee" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "a train traveling down tracks through a rural countryside.\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ "" ] }, "metadata": {}, "execution_count": 117 }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": "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\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "def random_pred(dataloader, loader_index, model, sos_token, temp, device):\n", " data_iter = next(iter(dataloader))\n", "\n", " images, captions = data_iter\n", "\n", " image = images[loader_index].unsqueeze(0)\n", " caption = captions[loader_index]\n", "\n", " plt.figure(figsize = (3,3))\n", " out = torchvision.utils.make_grid(image, 1, normalize=True)\n", " plt.axis(False)\n", " plt.imshow(out.numpy().transpose((1, 2, 0)))\n", " print(f\"True: {caption}\")\n", "\n", " log_tokens = make_prediction(model=model,\n", " sos_token=sos_token,\n", " eos_token=102,\n", " image=image,\n", " max_len=50,\n", " temp=temp,\n", " device=device)\n", " pred_text = torch.cat(log_tokens, 1)\n", " decoded_text = tokenizer.decode(pred_text[0], skip_special_tokens=True)\n", "\n", " print(f\"Pred: {decoded_text}\")" ], "metadata": { "id": "FE_USWPFr_8p" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "random_pred(dataloader=val_dataloader,\n", " loader_index=1,\n", " model=model,\n", " sos_token=sos_token,\n", " temp=temp,\n", " device=device)" ], "metadata": { "id": "fhvPXgAGtf4O", "colab": { "base_uri": "https://localhost:8080/", "height": 339 }, "outputId": "d7717221-7903-4836-adaa-94febb10f21d" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "True: A man with a racket plays on a court.\n", "Pred: a man in a blue shirt playing tennis.\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ ":8: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\n", " with torch.cuda.amp.autocast():\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": "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\n" }, "metadata": {} } ] } ] }