diff --git a/notebooks/05n_NLP_on_HF_01.ipynb b/notebooks/05n_NLP_on_HF_01.ipynb index 90bd75d..2e2cf01 100644 --- a/notebooks/05n_NLP_on_HF_01.ipynb +++ b/notebooks/05n_NLP_on_HF_01.ipynb @@ -114,9 +114,8 @@ } ], "source": [ - "!pip install -U transformers==4.15.0\n", - "!pip install -U sentence-transformers==2.2.0\n", - "!pip install -U transformers[sentencepiece]" + "!pip install datasets==1.17.0 transformers[sentencepiece]==4.34.0\n", + "!pip install accelerate==0.23.0" ] }, { @@ -2214,9 +2213,9 @@ "provenance": [] }, "kernelspec": { - "display_name": "default:Python", + "display_name": "Python 3 (ipykernel)", "language": "python", - "name": "conda-env-default-py" + "name": "python3" }, "language_info": { "codemirror_mode": { diff --git a/notebooks/05n_NLP_on_HF_02.ipynb b/notebooks/05n_NLP_on_HF_02.ipynb index b8fe550..7497cfd 100644 --- a/notebooks/05n_NLP_on_HF_02.ipynb +++ b/notebooks/05n_NLP_on_HF_02.ipynb @@ -1,11467 +1,11505 @@ { - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "k4xT3AvDy7GF" + }, + "source": [ + "# บทที่ 5n - การเทรนโมเดลบน Hugging Face พาร์ท 1.2" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "95vn8VX3y8eU" + }, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/ai-builders/curriculum/blob/main/notebooks/05n_NLP_on_HF_02.ipynb)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { "colab": { - "name": "AI Builder NLP-02-01", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU", - "widgets": { - "application/vnd.jupyter.widget-state+json": { - "f46513a8bd9f4055acd2e7e5c5f10050": { - "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_6d8bca9705954025ab08dd0f51778ad2", - "IPY_MODEL_0ad913693b6340e181d1b26fe63bd1c2", - "IPY_MODEL_92eb15c3ad8a4294a3e6ece9f2a3c006" - ], - "layout": "IPY_MODEL_c0566643f0544db19129475251585d87" - } - }, - "6d8bca9705954025ab08dd0f51778ad2": { - "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_9f362b1271cb48f6bb2d923b69cecacc", - "placeholder": "​", - "style": "IPY_MODEL_14f43d36022d46a397c683bbc5b451a7", - "value": "Downloading: " - } - }, - "0ad913693b6340e181d1b26fe63bd1c2": { - "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_69f45ebc85d446ef9b1b72b1e27fc83f", - "max": 7777, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_150c21370557463ba2b7951b21282069", - "value": 7777 - } - }, - "92eb15c3ad8a4294a3e6ece9f2a3c006": { - "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_fc973315bbde4ff1aaf8df3dd9735a4d", - "placeholder": "​", - "style": "IPY_MODEL_83345a1e00de41feac3fe0513d7044a7", - "value": " 28.8k/? 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"0b86509e4e1142039a4c497ee931428b", + "f9f9e885beb24c4fb38daaf420e8b447", + "cd603cdf52d04aba8f2fb1bec27d4e98", + "6d32eab1fc90426a8be93c0dbb44471a", + "4b7d6dabe07b4c0db611eb17f59a44ec", + "ca2bbd6b884846529224aa87806c0d34", + "e0b59c8246074b8e851b8df9ea9aaa85", + "5aac32e821d5408b9502dd844829ff36", + "cef35e12cfb24d22ad3dd6bd52e13250", + "bff9f1a46864485793f30464c54965e5", + "3443b223e6a949d5ac0073b501ca487e", + "e7d930e1621240ec949940e028c5e798", + "2e8b5f568c024397a0756e4b5fd47580", + "fb672d0a05c54c0e861b14736f64f485", + "42c8510d0d3d4c5789b0ef82a412c673", + "7c4f6b437bd9452f85b88331c18320d7", + "56f3373c069245db968958aa7c016761", + "2eece5e075534eb6a1e0ad508c0b9331" + ] + }, + "id": "ihCgoSbv0ABb", + "outputId": "988f48b5-7755-495b-ae6a-138377b1adbd" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# บทที่ 5n - การเทรนโมเดลบน Hugging Face พาร์ท 1.2" - ], - "metadata": { - "id": "k4xT3AvDy7GF" - } + "data": { + "application/vnd.jupyter.widget-view+json": { + 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aiohttp-3.8.1 aiosignal-1.2.0 async-timeout-4.0.2 asynctest-0.13.0 datasets-1.17.0 frozenlist-1.3.0 fsspec-2022.3.0 huggingface-hub-0.5.1 multidict-6.0.2 pyyaml-6.0 sacremoses-0.0.49 sentencepiece-0.1.96 tokenizers-0.10.3 transformers-4.15.0 xxhash-3.0.0 yarl-1.7.2\n", - "Collecting accelerate==0.5.1\n", - " Downloading accelerate-0.5.1-py3-none-any.whl (58 kB)\n", - "\u001b[K |████████████████████████████████| 58 kB 4.0 MB/s \n", - "\u001b[?25hRequirement already satisfied: torch>=1.4.0 in /usr/local/lib/python3.7/dist-packages (from accelerate==0.5.1) (1.11.0+cu113)\n", - "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.7/dist-packages (from accelerate==0.5.1) (1.21.6)\n", - "Requirement already satisfied: pyyaml in /usr/local/lib/python3.7/dist-packages (from accelerate==0.5.1) (6.0)\n", - "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from torch>=1.4.0->accelerate==0.5.1) (4.2.0)\n", - "Installing collected packages: accelerate\n", - "Successfully installed accelerate-0.5.1\n" - ] - } - ], - "source": [ - "!pip install datasets==1.17.0 transformers[sentencepiece]==4.15.0\n", - "!pip install accelerate==0.5.1" + "text/plain": [ + " 0%| | 0/3 [00:00,\n", - "ignore_data_skip=False,\n", - "label_names=None,\n", - "label_smoothing_factor=0.0,\n", - "learning_rate=5e-05,\n", - "length_column_name=length,\n", - "load_best_model_at_end=False,\n", - "local_rank=-1,\n", - "log_level=-1,\n", - "log_level_replica=-1,\n", - "log_on_each_node=True,\n", - "logging_dir=test-trainer/runs/May01_02-25-20_6d8e8d049325,\n", - "logging_first_step=False,\n", - "logging_nan_inf_filter=True,\n", - "logging_steps=500,\n", - "logging_strategy=IntervalStrategy.STEPS,\n", - "lr_scheduler_type=SchedulerType.LINEAR,\n", - "max_grad_norm=1.0,\n", - "max_steps=-1,\n", - "metric_for_best_model=None,\n", - "mp_parameters=,\n", - "no_cuda=False,\n", - "num_train_epochs=3.0,\n", - "output_dir=test-trainer,\n", - "overwrite_output_dir=False,\n", - "past_index=-1,\n", - "per_device_eval_batch_size=8,\n", - "per_device_train_batch_size=8,\n", - "prediction_loss_only=False,\n", - "push_to_hub=False,\n", - "push_to_hub_model_id=None,\n", - "push_to_hub_organization=None,\n", - "push_to_hub_token=,\n", - "remove_unused_columns=True,\n", - "report_to=['tensorboard'],\n", - "resume_from_checkpoint=None,\n", - "run_name=test-trainer,\n", - "save_on_each_node=False,\n", - "save_steps=500,\n", - "save_strategy=IntervalStrategy.STEPS,\n", - "save_total_limit=None,\n", - "seed=42,\n", - "sharded_ddp=[],\n", - "skip_memory_metrics=True,\n", - "tf32=None,\n", - "tpu_metrics_debug=False,\n", - "tpu_num_cores=None,\n", - "use_legacy_prediction_loop=False,\n", - "warmup_ratio=0.0,\n", - "warmup_steps=0,\n", - "weight_decay=0.0,\n", - "xpu_backend=None,\n", - ")" - ] - }, - "metadata": {}, - "execution_count": 9 - } + "data": { + "text/plain": [ + "DatasetDict({\n", + " train: Dataset({\n", + " features: ['sentence1', 'sentence2', 'label', 'idx'],\n", + " num_rows: 3668\n", + " })\n", + " validation: Dataset({\n", + " features: ['sentence1', 'sentence2', 'label', 'idx'],\n", + " num_rows: 408\n", + " })\n", + " test: Dataset({\n", + " features: ['sentence1', 'sentence2', 'label', 'idx'],\n", + " num_rows: 1725\n", + " })\n", + "})" ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_datasets" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "-OZZxhaxyetr", + "outputId": "5b126425-fba0-4179-d618-6d16d38ee7ca" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# สร้างโมเดลเพื่อ Finetune !\n", - "## AutoModelForSequeceClassification\n", - "เป็นฟังก์ชั่นที่นำเอาโมเดลที่เราสนใจจะเอามาเทรน มาต่อกับ Linear Layer (เป็น layer สุดท้าย) โดยจะเรียกว่า \"หัว Classifier\" (Classifier Head) โดยเราจะใช้หัวนี้ในการทำนายประโยคนั้นเอง" - ], - "metadata": { - "id": "h_nFgwa0CN9f" - } + "data": { + "text/plain": [ + "{'idx': 0,\n", + " 'label': 1,\n", + " 'sentence1': 'Amrozi accused his brother , whom he called \" the witness \" , of deliberately distorting his evidence .',\n", + " 'sentence2': 'Referring to him as only \" the witness \" , Amrozi accused his brother of deliberately distorting his evidence .'}" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_datasets['train'][0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "rNo79FgrypJO", + "outputId": "ab3d49cb-c07d-452a-e9cb-e49670e4bba4" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "from transformers import AutoModelForSequenceClassification\n", - "\n", - "model = AutoModelForSequenceClassification.from_pretrained(checkpoint, num_labels=2)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 157, - "referenced_widgets": [ - "8fc1a5b9f75f41229818e5ddae2e20bb", - "6fccad3723b24a7ea33fa556fff4ac0f", - "34b565fea625483d9c341a80c1336509", - "d9a691e8c1984c55aaab4171099d0e9e", - "c0e0dadc09944726a238e1cd73734f7d", - "7a9abd86fba4424aa2b901e472fe43d1", - "653d02f8513842138228945f42ab8878", - "54448c8882654f518532a0b74837879d", - "327fe939c3e3424492410e2e6a495ecf", - "0c37be20e875468e89d8cf79e6628efa", - "d1063c6454594c6d890e30999c7f3037" - ] - }, - "id": "wPkWVYW_4OWB", - "outputId": "6443118b-e652-458f-a839-8ae8b485e20d" + "data": { + "text/plain": [ + "{'idx': 1,\n", + " 'label': 0,\n", + " 'sentence1': \"Yucaipa owned Dominick 's before selling the chain to Safeway in 1998 for $ 2.5 billion .\",\n", + " 'sentence2': \"Yucaipa bought Dominick 's in 1995 for $ 693 million and sold it to Safeway for $ 1.8 billion in 1998 .\"}" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_datasets['train'][1]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "CzdifhAK6hVI", + "outputId": "8ad1462e-139a-4d5f-804b-9f1203988812" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pos:0.6744820065430752 Neg:0.3255179934569248\n", + "Pos:0.6838235294117647 Neg:0.3161764705882353\n", + "Pos:0.664927536231884 Neg:0.33507246376811595\n" + ] + } + ], + "source": [ + "for k in raw_datasets.keys():\n", + " pos = raw_datasets[k]['label'].count(1)\n", + " neg = raw_datasets[k]['label'].count(0)\n", + " print(f\"Pos:{pos/raw_datasets[k].num_rows} Neg:{neg/raw_datasets[k].num_rows}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "v73B5HmT0LPC" + }, + "source": [ + "# อะไรคือการตัดคำ?\n", + "![causal_modeling.png](data:image/png;base64,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)\n", + "\n", + "จากตัวอย่าง: จะเห็นได้ว่าโมเดลของเรารับ input เป็นคำๆเพราะ (i) มีความตัวอักษรที่ยังพอดี หากเป็นประโยคก็จะยาวไป หากเป็นตัวอักษร โมเดลก็จะเรียนรู้ได้ไม่ดีพอ (ii) การตัดคำไม่ได้ยากขนาดนั้น และการรับทั้งประโยคเป็น input ยังต้องการทรัพยากรมาก \n", + "\n", + "![image.png](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAACmcAAAIiCAIAAAC4hhncAAAMbGlDQ1BJQ0MgUHJvZmlsZQAASImVVwdYU8kWnluSkJDQAghICb0jUgNICaEFkF4EGyEJJJQYE4KKvSwquHYRxYquiii2lWYBsSuLYu+LBRVlXdTFhsqbkICu+8r3Tr6598+ZM/8pmcm9BwDND1yJJA/VAiBfXCBNCA9mjElLZ5CeAgR+qMAWeHJ5MgkrLi4aQBm8/13e3YC2UK46K7j+Of9fRYcvkPEAQMZBnMmX8fIhbgYA38CTSAsAICr0llMKJAo8B2JdKQwQ4tUKnK3EuxQ4U4mPDtgkJbAhvgyAGpXLlWYDoHEP6hmFvGzIo/EZYlcxXyQGQNMJ4gCekMuHWBG7U37+JAUuh9gO2ksghvEAZuZ3nNl/488c4udys4ewMq8BUQsRySR53Gn/Z2n+t+TnyQd92MBBFUojEhT5wxreyp0UpcBUiLvFmTGxilpD/EHEV9YdAJQilEckK+1RY56MDesH9CF25XNDoiA2hjhMnBcTrdJnZonCOBDD3YJOFRVwkiA2gHiRQBaaqLLZIp2UoPKF1mZJ2SyV/hxXOuBX4euBPDeZpeJ/IxRwVPyYRpEwKRViCsRWhaKUGIg1IHaR5SZGqWxGFQnZMYM2UnmCIn4riBME4vBgJT9WmCUNS1DZl+TLBvPFtghFnBgVPlggTIpQ1gc7xeMOxA9zwS4LxKzkQR6BbEz0YC58QUioMnfsuUCcnKji+SApCE5QrsUpkrw4lT1uIcgLV+gtIPaQFSaq1uIpBXBzKvnxLElBXJIyTrwohxsZp4wHXw6iARuEAAaQw5EJJoEcIGrrruuG35QzYYALpCAbCICzSjO4InVgRgyviaAI/AGRAMiG1gUPzApAIdR/GdIqr84ga2C2cGBFLngKcT6IAnnwu3xglXjIWwp4AjWif3jnwsGD8ebBoZj/9/pB7TcNC2qiVRr5oEeG5qAlMZQYQowghhHtcSM8APfDo+E1CA43nIn7DObxzZ7wlNBOeES4Tugg3J4omif9IcrRoAPyh6lqkfl9LXAbyOmJB+P+kB0y4/q4EXDGPaAfFh4IPXtCLVsVt6IqjB+4/5bBd7+Gyo7sSkbJw8hBZLsfV2o4aHgOsShq/X19lLFmDtWbPTTzo3/2d9Xnw3vUj5bYIuwQdhY7gZ3HjmJ1gIE1YfVYK3ZMgYd215OB3TXoLWEgnlzII/qHP67Kp6KSMtdq1y7Xz8q5AsHUAsXBY0+STJOKsoUFDBZ8OggYHDHPxYnh5urmBoDiWaP8+3obP/AMQfRbv+nm/w6Af1N/f/+Rb7rIJgAOeMPj3/BNZ8cEQFsdgHMNPLm0UKnDFRcC/JfQhCfNEJgCS2AH83EDXsAPBIFQEAliQRJIAxNglYVwn0vBFDADzAXFoBQsB2vAerAZbAO7wF5wENSBo+AEOAMugsvgOrgLd08neAl6wDvQhyAICaEhdMQQMUOsEUfEDWEiAUgoEo0kIGlIBpKNiBE5MgOZj5QiK5H1yFakCjmANCAnkPNIO3IbeYh0IW+QTyiGUlFd1AS1QUegTJSFRqFJ6Hg0G52MFqEL0KVoOVqJ7kFr0RPoRfQ62oG+RHsxgKlj+pg55owxMTYWi6VjWZgUm4WVYGVYJVaDNcLf+SrWgXVjH3EiTscZuDPcwRF4Ms7DJ+Oz8CX4enwXXoufwq/iD/Ee/CuBRjAmOBJ8CRzCGEI2YQqhmFBG2EE4TDgNz1In4R2RSNQn2hK94VlMI+YQpxOXEDcS9xGbie3Ex8ReEolkSHIk+ZNiSVxSAamYtI60h9REukLqJH1QU1czU3NTC1NLVxOrzVMrU9utdlztitoztT6yFtma7EuOJfPJ08jLyNvJjeRL5E5yH0WbYkvxpyRRcihzKeWUGsppyj3KW3V1dQt1H/V4dZH6HPVy9f3q59Qfqn+k6lAdqGzqOKqcupS6k9pMvU19S6PRbGhBtHRaAW0prYp2kvaA9kGDruGiwdHga8zWqNCo1bii8UqTrGmtydKcoFmkWaZ5SPOSZrcWWctGi63F1ZqlVaHVoHVTq1ebrj1SO1Y7X3uJ9m7t89rPdUg6NjqhOnydBTrbdE7qPKZjdEs6m86jz6dvp5+md+oSdW11Obo5uqW6e3XbdHv0dPQ89FL0pupV6B3T69DH9G30Ofp5+sv0D+rf0P80zGQYa5hg2OJhNcOuDHtvMNwgyEBgUGKwz+C6wSdDhmGoYa7hCsM6w/tGuJGDUbzRFKNNRqeNuofrDvcbzhteMvzg8DvGqLGDcYLxdONtxq3GvSamJuEmEpN1JidNuk31TYNMc0xXmx437TKjmwWYicxWmzWZvWDoMViMPEY54xSjx9zYPMJcbr7VvM28z8LWItlinsU+i/uWFEumZZblassWyx4rM6vRVjOsqq3uWJOtmdZC67XWZ63f29japNostKmzeW5rYMuxLbKttr1nR7MLtJtsV2l3zZ5oz7TPtd9of9kBdfB0EDpUOFxyRB29HEWOGx3bnQhOPk5ip0qnm85UZ5ZzoXO180MXfZdol3kudS6vRliNSB+xYsTZEV9dPV3zXLe73h2pMzJy5LyRjSPfuDm48dwq3K6509zD3Ge717u/9nD0EHhs8rjlSfcc7bnQs8Xzi5e3l9SrxqvL28o7w3uD902mLjOOuYR5zofgE+wz2+eoz0dfL98C34O+f/o5++X67fZ7Psp2lGDU9lGP/S38uf5b/TsCGAEZAVsCOgLNA7mBlYGPgiyD+EE7gp6x7Fk5rD2sV8GuwdLgw8Hv2b7smezmECwkPKQkpC1UJzQ5dH3ogzCLsOyw6rCecM/w6eHNEYSIqIgVETc5Jhwep4rTE+kdOTPyVBQ1KjFqfdSjaIdoaXTjaHR05OhVo+/FWMeIY+piQSwndlXs/TjbuMlxR+KJ8XHxFfFPE0YmzEg4m0hPnJi4O/FdUnDSsqS7yXbJ8uSWFM2UcSlVKe9TQ1JXpnaMGTFm5piLaUZporT6dFJ6SvqO9N6xoWPXjO0c5zmueNyN8bbjp44/P8FoQt6EYxM1J3InHsogZKRm7M74zI3lVnJ7MzmZGzJ7eGzeWt5LfhB/Nb9L4C9YKXiW5Z+1Mut5tn/2quwuYaCwTNgtYovWi17nRORsznmfG5u7M7c/LzVvX75afkZ+g1hHnCs+Ncl00tRJ7RJHSbGkY7Lv5DWTe6RR0h0yRDZeVl+gC1/qW+V28p/kDwsDCisKP0xJmXJoqvZU8dTWaQ7TFk97VhRW9Mt0fDpvessM8xlzZzycyZq5dRYyK3NWy2zL2Qtmd84Jn7NrLmVu7tzf5rnOWznvr/mp8xsXmCyYs+DxT+E/VRdrFEuLby70W7h5Eb5ItKhtsfvidYu/lvBLLpS6lpaVfl7CW3Lh55E/l//cvzRradsyr2WblhOXi5ffWBG4YtdK7ZVFKx+vGr2qdjVjdcnqv9ZMXHO+zKNs81rKWvnajvLo8vp1VuuWr/u8Xrj+ekVwxb4NxhsWb3i/kb/xyqagTTWbTTaXbv60RbTl1tbwrbWVNpVl24jbCrc93Z6y/ewvzF+qdhjtKN3xZad4Z8euhF2nqryrqnYb715WjVbLq7v2jNtzeW/I3voa55qt+/T3le4H++X7XxzIOHDjYNTBlkPMQzW/Wv+64TD9cEktUjuttqdOWNdRn1bf3hDZ0NLo13j4iMuRnUfNj1Yc0zu27Djl+ILj/U1FTb3NkubuE9knHrdMbLl7cszJa6fiT7Wdjjp97kzYmZNnWWebzvmfO3re93zDBeaFuoteF2tbPVsP/+b52+E2r7baS96X6i/7XG5sH9V+/ErglRNXQ66euca5dvF6zPX2G8k3bt0cd7PjFv/W89t5t1/fKbzTd3fOPcK9kvta98seGD+o/N3+930dXh3HHoY8bH2U+OjuY97jl09kTz53LnhKe1r2zOxZ1XO350e7wrouvxj7ovOl5GVfd/Ef2n9seGX36tc/g/5s7RnT0/la+rr/zZK3hm93/uXxV0tvXO+Dd/nv+t6XfDD8sOsj8+PZT6mfnvVN+Uz6XP7F/kvj16iv9/rz+/slXCl34FUAgwPNygLgzU4AaGkA0GHfRhmr7AUHBFH2rwMI/Ces7BcHxAuAGvj+Ht8N325uArB/O2y/IL8m7FXjaAAk+QDU3X1oqESW5e6m5KLCPoXwoL//LezZSKsA+LK8v7+vsr//yzYYLOwdm8XKHlQhRNgzbOF8yczPBP9GlP3pdzn+eAeKCDzAj/d/AWUGkNOBZdniAAAAOGVYSWZNTQAqAAAACAABh2kABAAAAAEAAAAaAAAAAAACoAIABAAAAAEAAApnoAMABAAAAAEAAAIiAAAAANcXbpIAAEAASURBVHgB7N0JvE3V///xnzHzPM/znCERpWgwlBBRpi8ZolCRUlFSqEjJkKQUKWSKiIjSoEiSzPM8T9c86/f+/k6/Zd19ztn33HPvPffec18ePb7/z1577bXXfu7t9z/2Z6+1kv3zzz//wx8EEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSSpEDyJHnVXDQCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAL/FSBrznOAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIJB0BciaJ917z5UjgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCJA15xlAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEi6AmTNk+6958oRQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBMia8wwggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCRdAbLmSffec+UIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAmTNeQYQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBJKuAFnzpHvvuXIEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAbLmPAMIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAklXgKx50r33XDkCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAFlzngEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgaQrQNY86d57rhwBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAgKw5zwACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQNIVIGuedO89V44AAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggQNacZwABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIOkKkDVPuveeK0cAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQIGvOM4AAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggkHQFyJon3XvPlSOAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIkDXnGUAAAQQQQAABBBBAAAEEwlZg0KBBBaw/S5Ys8b7UhQsXWlUKvP322951KEEAAQQQQAABBBBAAAEEEEAAAQTCWCBlGF8bl4YAAggggAACCCCAAAIIxIXAiRMnNmzYcPz48dOnT585cyZZsmTp06dPly5d3rx5ixcvnidPnrg4aXBtRkRE7N+/3xx74cIFE5tAhXadU6dOmV0ECCCAAAIIIIAAAggggAACCCCAQFIQIGueFO4y14gAAggggAACCCCAAAIxFTh79uzcuXOnT5++fPnygwcPujSXOXPm2rVr16tXr1WrVtmyZXOpyS4EEEAAAQQQQAABBBBAAAEEEEAAgYQgwAztCeEu0AcEEEAAAQQQQAABBBBIuALnz59//fXXNYK8devWX331lXvKXJehsdpff/11jx49ChYs2LNnTw1GT7jXRs8QQAABBBBAAAEEEEAAAQQQQAABBP7nfxhrzlOAAAIIIIAAAggggAACCPgVWLNmTaNGjfbu3eu3hv8dSrePGDFi3rx5M2fOrFSpkv+K8bwnV65c9957r+lEiRIlTOwIrl+//tRTT127dk3lTz/9dLly5RwV2EQAAQQQQAABBBBAAAEEEEAAAQQSowBZ88R41+gzAggggAACCCCAAAIIhEJg2bJlDzzwgBYvd5wsd+7cVapUKVWqlCZg14rmyiJr/nZl1jdu3Lhq1SpPUtkcsn37ds3W/ttvvxUrVswUJqjg9ttvX7x4cSBdWrdu3ZgxYzw1H3roIbLmgaBRBwEEEEAAAQQQQAABBBBAAAEEEr4AWfOEf4/oIQIIIIAAAggggAACCMSDgJLlWpjcTpknT5780Ucf1aTr1apVS5Ysmc8+RURETJ48eciQIXv27DEVjhw50rRp0z///DNFihSmMDEGyv0nxm7TZwQQQAABBBBAAAEEEEAAAQQQQMBdgHXN3X3YiwACCCCAAAIIIIAAAklU4LXXXrMnZs+UKdOCBQuUEa9evbq/lLmksmTJ0q1bt7Vr1zZu3NiG+/vvv8eNG2eXJMZ4+fLlibHb9BkBBBBAAAEEEEAAAQQQQAABBBBwFyBr7u7DXgQQQAABBBBAAAEEEEiKAppl/fPPP7evXDlvTbRul7jESrFPmzZNM5/bdd544w2tC26XJLqYrHmiu2V0GAEEEEAAAQQQQAABBBBAAAEEAhEgax6IEnUQQAABBBBAAAEEEEAgaQmsWLFC06qbay5ZsqTmZjebgQQ33XTT2LFj7VHp+/bt++GHHwI5NmHWOXny5ObNmxNm3+gVAggggAACCCCAAAIIIIAAAgggEBMB1jWPiR7HIoAAAggggAACCCCAQHgK7N69276wu+66y94MML755pvr1KmjtcDLli2ruGLFivnz5/c+9sKFC+fOnTPlmuM9Zcob/1K7ePHiL7/8oinfDx48qJpZs2bNnTt3hQoVatWqFVurpF++fNlevj3d//0x/Tlx4oRniPzSpUv/+ecfU65Djh07Zjb1lUDGjBnNZsyDK1euiE4z2+ss+qPR/9n/70/RokVr164th0BOoQ4fP37c1EyfPn3atGnNpoIdO3b8+OOPW7Zs0TcB2syWLZvukSYJ0M2KLV77dHYcERGh27px40ad+syZM0IWoC6xVKlSeloU2JV9xroFuneeXfo+w3GILvynn35S+wqEmTNnTj05ujQ9PD5bi7Lw/Pnzq1evXr9+/Z49e9RhPbQZMmTQ41q4cOFq1aqVK1cuefLgv8u/evXqr7/+umbNGn2tcvTo0VSpUukWlylTpmbNmrrjUfbNZwX93fn5558loAb1J3Xq1ELQH/X2lltusb9o8Xm4v8KY3zh/LVOOAAIIIIAAAggggAACCCAQjwI33sXEYyc4NQIIIIAAAggggAACCCCQoAQOHz5s90epQXsz8Pirr75SZtE9/zphwgQthW7a/Pbbb+vXr69NpYq1tvqnn35q59RNNaVI27VrN2DAAM0GbwqDC+bPn9+0aVNzbL9+/QYNGmQ2lcS1E8+m3DH4XptTp041e2MSaKC/ZrNfsmSJzwtXy8rOVq5cWWjt27e3vzDwPqlaUJbUlPft23fw4MGezUWLFvXv31/nMnvtQJngPn36PPHEEzHJBNsNmlh5bt1Tzf+/bNky+ysEU0GBTnrbbbfp6h577DF9jmDvsuPHH39cCwGYEiWJPZWVjH/55Ze/+eYbfWpg9pqgePHizz77bLQuTdn3kSNHLliwQIlz044jUEpe/enRo4cCxy73zV27dukxnjNnjrLRPmveeuutTz/9dNu2bQPPc8v2zTff/P777/Whic829VQ89NBDr7zySsGCBX1W8C6MxRvn3TglCCCAAAIIIIAAAggggAAC8S4Q/Jfg8d51OoAAAggggAACCCCAAAIIxJGAhlvbLTuGntu73OPMmTO7p8x1uNLqdiOeFPWff/6p4c6jR4/2lzlWteHDh2swrkai24cn6lgX1axZsxo1anz99df+LlwXqGHZ8uncubMG8Wswscsla3C5nWrVCGlVVq66d+/e+jTBX8pcdXTHu3fv3qRJE5c8sct5/e1SNldDvZWx1l3zlzLXsbpAjbNXNX2yoEP8tebzydFHGBpLLUCfKXM1tX37dl2akA8dOuSvZVN+6tQp3REN7p85c6Y7hT400ccW5cuX15ci5nD3QALKW+sZnjhxor+UuVr4448/9IGI+qD8unuD2quh6kqHayYGfTTgL2Wuahp6/tFHH4lXX05IO8pmY/fGRXk6KiCAAAIIIIAAAggggAACCIRegKx56M05IwIIIIAAAggggAACCCR0gbx589pdXLx4sWcGb7swtmLHnOGadlvTht93332akj3KU6hOw4YNlVaMsmbCr6BEtZKdPnOuynz7HFO+bdu2evXqKaHr7+p0oOblNns9mfiePXu+++67ptAlmDdvnvLrLhWiteu7776rW7fu1q1bAz9Kc6Frkn8N8vZ5iPeTI4qOHTteunTJZ327cOXKleqMpt+3Cx2xnnnN6O7zjjhqmk199/Dwww/PmDHDlPgLNCX7f/7zHyXaA+mtGtHnEXfccYemW/fXoMr1QYA6rGHr3nU05bv9/YSngkbnDxw4sE2bNprB3vsQUxLrN860TIAAAggggAACCCCAAAIIIJBwBJihPeHcC3qCAAIIIIAAAggggAACCUVA+TmNETejdTUQVsNzJ02aFOXA8SAuwJEP1uhepfE8SXpNw67MolZVL1KkiCbf1nDe33//XQNz7dyhsuwaXLthw4aYT9Xus/Oa0twzZlfZU83Ubep07dpVo4TNZunSpU0cRHD27Nm77757586d9rGNGjVq3br1nXfeqUm/JS+TdevWqRvjxo0z456V+NTk8FoSu3r16vaxJhavycvqQqZMmaLJxrVXs6Arvys6XYWWM9cufayg6fE//vhjtWkOHzt27JNPPqlx/6YkuECd1620Rz/nyJFDJbq6YsWKaUVz5XRVZ/PmzfpEQ3PdmwtUdrlly5a64/ny5XOc2vHkaHX2Tp06eYaw63aocZnkyZNHJQcOHFDq97PPPtO0/6YRYWoS+Llz55oSR6AR3nqu7ELdI92RKlWq6I6kSZNGz546rBn+7XUEdDqdWguH67rsYx2xJtj/4osv7EL1tkWLFlrTXdOn6xbo8wL1bfbs2eavoa7igQce0NrnPh91DR8Xpv2tiW6xeiI9TXevVdIlqb16hvX82E+ytPX9wSeffGJ3xsRxceNM4wQIIIAAAggggAACCCCAAAIJSED/oOUPAggggAACCCCAAAIIIICAQ6BBgwaOf7lpTm8NZnVUi/mmY2isSUUrp6uMnXf7Wl/ZewC0FiP3rqkSR02lIb2rOQYT+2vqmWeesUE0ANq7qaBLlIO3G1cWWTNs+2tNd8GRxi5XrpxS4z7rqynTsr4/UK5am1rbW3O8+6yvubg1r745RIHW6vZZM1qF9lLxavP+++9XytlfC/o8QhXsPijH7F25V69edh3Pk6Psu86lDLF3fc1efu+999qHKFY23bumSpS8t2uq2fHjx/usqUJluB05cmXc/VVWuRaVtxtXAl6fpPisr+8hcuXKZVfWzPw+azZt2tSupo8MNAeDz5oq1OkcC8YvXLjQZ+W4uHE+T0QhAggggAACCCCAAAIIIIBA/AowQ7v9z2piBBBAAAEEEEAAAQQQQOBfgTfffFNjVW0O5dWUnX388cc1WbQZ/2pXCC52nGXTpk1qR9nNadOmZcmSxbtNzTU9bNiwtm3b2rvGjBljRlTb5YkiXr169Ycffmi6KpBZs2ZpVLEpcQRK0Gp8s0ZRm3INiVZO12zagT0vt0YYa7B1oUKFdAc1YNquZmJN8f3SSy+ZTQW67/ZmcLGuyByoRL6GvNvpfLPLEyhPrDHWGiFtyjUs23sWcZ9PzoABA/Tdg89JETSGW19IaDF406yC4cOH25smHj16tIkVaOJ3/bFL7LhEiRKOgeNffvmlPbDerqx1xLVku12iHLbjeTZ7a9asKQr7SjXXwt69e00FT6A69scf+oujW1y1alVHNbOp0zkeGH2X4HOB87i4caYbBAgggAACCCCAAAIIIIAAAglHINI7oITTLXqCAAIIIIAAAggggAACCMSvQOXKlZWcdvRBmWnN4K0hy5qhWhODK9erfK0+hXZUi+GmRsHqLHam0LvBoUOH2oNlNSpds4t7V0sUJXbKXB1WRlPLurv3PH/+/MoN23X8zbBtZ8099VXTsW693Y5iJVD1aYIp1OrpZ86cMZvBBZ6PITzHaiJxx3B27za1HLvy3yrX1OJK8N9zzz323OPe9T0lyog7WBw1lap3DJ7WNwFajNxRTfnjpUuX2oUysTe94xo1aijDbcr1N0V5a7NpBxporsnwTYmmcGjevLnZ9A7UbKtWrUy5vh5Q4txsegLPrPumcMSIEY6x72aXCbQOgv1lhiYwWLJkidlrgtDcOHM6AgQQQAABBBBAAAEEEEAAgfgSIGseX/KcFwEEEEAAAQQQQAABBBK6gGbAHjJkiGP1aE+nlWjUWHANmS1fvrwm/W7cuPHbb7+9fPly7wHBQVykVnfWQubuByrv65iSOlaGRLufNC72agFvDby2W37xxRftTX+xBv1nyJDB7NV03I5FuM0uO6hVq5b3LOV2BcVKLeu2mkJ9FbFr1y6zGUSgUddmnXId7vOJ8m62bt26msX9xIkTmkxeI541RN67jqNEE/L7HGVuV9NS7vYS6Zo1wTtbrAneNXZcnxdoxoWePXvqO4ZKlSrZjfiM9TWJXW7nm+1yxyBvx8z/dk0TO0aia1Z5s0uB1lb/4YcfTIny5Y76ZpcjeO655+wSrc5ubyoO2Y1znJdNBBBAAAEEEEAAAQQQQACB0AukDP0pOSMCCCCAAAIIIIAAAgggkFgE+vTpozzrU089pcylvz4rr6n1wvVHFdKnT69x0g8++GDDhg3dBzT7a03lLVu2dNlrdimrOnXqVLP5+++/mzgRBStWrFBu2HS4VKlSjinEzS5HoKH2GoH99ddfm3JNwK4p9M2mz6B9+/Y+yx2Fyrz+9ddfpvDUqVMmDiJImzatEvxnz571HKtLvnjxohbzdm9K+W+XWdy9j1Uy3n3QtucQzWGg7wY0KbppQU/OI488YjYVaKS7PQ7b3uUSO4Z3azJ878oaxW5PiiCEOnXqeFdzlOjv4Lhx47L/3x99pKKp5u0K33zzjb2plLn7PA2msk6tJs1Qe7WjLyTsyQlCc+NMfwgQQAABBBBAAAEEEEAAAQTiUYCx5vGIz6kRQAABBBBAAAEEEEAgEQhooetVq1ZpsK8m1o6yu+fOnZszZ46GQWsKcQ1A9zdJtUs7SvgFkkdUC/aE2Npcv359rM8V79LP2NolW7upKAeC25Vr165tb9p5brvcjnU37U1/cbZs2exdMZ+hvXTp0qbBw4cPd+3aVeO5TUmsBLfcckuUE797TuR4ctatWxcrHXCc3SeaxoWbrwd0Uk0+r8x0lGfXNwf6O9WsWTPdcU0DoHXf7UMc34sE+NdHLShBblfW1xv21PGeU4TgxtnXQowAAggggAACCCCAAAIIIBBfAmTN40ue8yKAAAIIIIAAAggggEBiEtB06BrKrJm633vvPa3EHGWqTwlsjT7XnNXKUDoSw+6XXbx4cQ1Yd6/j2Vu0aFF7XKyGLysdG8iBCaqOA6dMmTKBd69EiRJ25Siz5uKyk6D2sY5Yg63tEk1jbm8GEXfu3Nk+6rPPPqtYseLkyZPtmdvtCkHEgUyi7mlWT47dfgznnzdNOSaH9/kNh+N2O+6gaSpagSNrHq1HyDE5werVqx2nDsGNc5yRTQQQQAABBBBAAAEEEEAAgXgRYIb2eGHnpAgggAACCCCAAAIIIJAoBQoXLqxlmPXn0qVLK1euXLZs2S+//PLrr79qknZ/16PFzmvUqKFce/fu3f3Vscsd01zbuxyxZrfWoFs7U644T548jmoJfHPPnj12D0uWLGlvusf6wsCucODAAXvTO9aQZUdm17uOp8T+HMFfnWiVP/bYYx999JE9z//GjRvbtGmjzy80vF7fYeh/A5ya3t95A39yihQpYjdiP0J2uSMWr5LK27dv15TmeuA1MlvD5fXnypUrnmD//v2OQ7w3d+7caRc6emLvCjy2HyHduK1bt6qTAR6uzts1NRTe3lQcghvnOCObCCCAAAIIIIAAAggggAAC8SJA1jxe2DkpAggggAACCCCAAAIIJG4BLaqttZb154UXXtCYWmVANRJdf7777jvv5ZyVU+zRo0eqVKm6dOkS5WXnzp07yjqmgta9tlOeERERZldiCRxLhmfNmjXwnjumBLfXR/fZSLp06XyWh6BQnzjMmzdPC7Fv2rTJPt2FCxdUrj8q1BcPyp3Xq1dPa4pr9W67WiBx4E+OY7l03QI9w/4+FNAIfo2M//LLL6P8KCGQTjput6MngbTgqKN54O2ZAHQhjnn7HfXdNx3dU+UQ3Dj3LrEXAQQQQAABBBBAAAEEEEAgNALM0B4aZ86CAAIIIIAAAggggAACYSugdKPmeX7iiSc04bZy2Bp93q5dO6XVHRf89NNPOzKmjgqezWjlER1pYE3S7rPNhFzoSHUHODu954ocl68Eqs9ZwRPI5efNm/ePP/7Q+txaut5nlw4dOvTFF1+0b99e6fO6detOnTpV31v4rOmzMPAnx+EmtMuXL3u3qe8/1BktPT58+PBYSZnrFI7b7eiJdx+iLPHOc0d5iEsFR/c8NeP6xrn0h10IIIAAAggggAACCCCAAAIhE/D9b/WQnZ4TIYAAAggggAACCCCAAALhJKCE6B133DFx4sS1a9feeeed9qVpUveBAwfaJT5jx4raPuuYQkduPiHnjE2fHYFjYW/HFTkqOzYdla9fv+4z++s4Kh439U3AuHHj1q1bp+n6s2fP7q8nGjy9ePHiVq1aae1zzV7gr5qjPPAnx+GmdryfHE23rpUFNMrccRZtaqL7UqVKVatWTaO6ld3XyPgmTZq0aNFCUy94V3aUOG63JmBwVIjupv5aRfcQl/r+cvBxeuNc+sMuBBBAAAEEEEAAAQQQQACBkAkwQ3vIqDkRAggggAACCCCAAAIIJCEBrc+9aNGi+++/f+nSpeayZ86cOX78eM35bEq8A8dCy94V7BLH4PJoDdS224nHWClYrZNtOqAZy00cZeConDJlSu98cJSNhL6C1i8fPXq0lrr/8ccf58+fv3DhwvXr1/vshmb+15Lnb731Vp8+fXxWsAsDf3Icj43Wenc8k2qqQYMGjtXBK1Wq1KtXr7vvvrtQoUL2eU08Y8YMTbRgNn0GjkfUkUT3eYh7oWOEvS6kX79+7oe47HVfWj6ObpxLf9iFAAIIIIAAAggggAACCCAQMgGy5iGj5kQIIIAAAggggAACCCCQtASUwBszZkz58uXNQF6Ni12xYoX7usvRyiM60sbKQCc6Ysfa5NG6fEdlR1MJnEI5fq1irj/vvPOO5mZfsmTJ999/rwy6BnnbPdfD88ILL+TLl69t27Z2uXfs0PCuYEocj40jk61q77//vgbEm/oKhg0b9uyzz/pb+9yu6R477lHgffbXrKNBDdN/+eWX/VWOlfJYv3Gx0isaQQABBBBAAAEEEEAAAQQQiKEAM7THEJDDEUAAAQQQQAABBBBAAAG/AhqcqhG69u59+/bZm96xvzmivWuqxLEMc2LMmmfJksW+tCNHjtib7rE9SF01HQlU92MT1F4tZN6mTRvNQ7B3795ff/21ZcuWjvy0Bnlr1Xb3Pgf+5ET52HzwwQf2ufr27du7d29Hl+wKntgxhN27gkoc90ifC/isFnihZhewB8prlHwg3Qi8ffeasXLj3E/BXgQQQAABBBBAAAEEEEAAgdAIkDUPjTNnQQABBBBAAAEEEEAAgUQpcPXq1Rj2u0iRInYLERER9qZ37JgW27uCKdGIYTvHrCXVCxQoYPYmlqBEiRJ2V7ds2WJvuseOykWLFnWvn/D3KjNds2bNKVOmaDlz+xuIY8eOaf5z9/4H/uTs2rXLbsox4/q2bdtsWI1Ef/755+36/uI9e/b422XKHbd769atZlfQQenSpe1j1X97MzRxTG5caHrIWRBAAAEEEEAAAQQQQAABBNwFyJq7+7AXAQQQQAABBBBAAAEEkpbA5cuXNdh31KhR7du3r1ChgnLemvM5JgSO2bDTpk3r3poSlmZGd/eajtxn4cKFo2zcvcF42Xvrrbfa5/W3wrddx8SbNm0ysYJq1arZm4k61sztWvjcvgTN325vescODe8KpsTx5DgW87ZT5jqkRo0ajvkATDuOQMu0O0q8N2+55Ra7cO3atfZmcLHjvv/111/BtRMrRwVx42LlvDSCAAIIIIAAAggggAACCCAQQwGy5jEE5HAEEEAAAQQQQAABBBAIKwFNXn3XXXc9/fTTn332mTK4WmRaS03H5AoduUzH0HPvlrXS8++//+5d7l3y22+/2YXlypWzNxNL7Eh5Llq0KMCPBnSBqmxfpiMBb+9KjHGrVq00f4Dp+YEDB0zsM9DXHpqf3OcuR6H7k3P06FG7vmMkur3Ljnfv3q2l2e0Sn7HGmtuTtOvvl2MBdZ9HqVAfheTPn//mm2/WX89mzZrZ37I4HqEFCxb4ayQ05dG9caHpFWdBAAEEEEAAAQQQQAABBBBwF7jxL3D3euxFAAEEEEAAAQQQQAABBJKCQI4cOWrXrm1f6QsvvBD0PO0afatsomktZcqUVatWNZv+gq+//trfLrt88eLF9qayifZmYok1+LhgwYKmtwcPHnTkdM0u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+ ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 163, + "referenced_widgets": [ + "10a2ee3fc48c48068f49eb0490945262", + "46bc5be4146f4f13a7ad69d8e2126f8e", + "0c80a6deebe74d11b37e4351b2e2b7ef", + "83febe297a9d46348a7eb6f2291a0141", + "68846a99362d460ab44112949a6ec729", + "153d480baa2b4542a1caba1024bb8add", + "83607be6b3a6447e8403fc63ec0af4f0", + "e02d6666c47b4abb9cf4c7ebe6575020", + "34507ec42b424f2699226378a3b56107", + "edaed53bdff14cd08d298b9eeb6d0cb8", + "c010ea6d67d941f2a9479cc5f391fec4", + "e27c973012d444dc9efbf2d71e29191b", + "efc761f3004b4a35ab4bb296685c235c", + "a82ad8cc0ede4817816c888eb78c6f73", + "217d5cb40d33450a879af94f37684db1", + "22f9c7ad5a44443eb42017b158ad1b4c", + "e908fbf0b564402b92168c04e6f5074f", + "ea2aa8a735ff47e1af349b4d834dbd9f", + "d87067e3747748b68ac5e5deb14914b8", + "69ecb1f7caeb429ea796c0651746f33f", + "76899edf377448ddba954a40e7451e3a", + 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" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "Saving model checkpoint to test-trainer/checkpoint-500\n", - "Configuration saved in test-trainer/checkpoint-500/config.json\n", - "Model weights saved in test-trainer/checkpoint-500/pytorch_model.bin\n", - "tokenizer config file saved in test-trainer/checkpoint-500/tokenizer_config.json\n", - "Special tokens file saved in test-trainer/checkpoint-500/special_tokens_map.json\n", - "Saving model checkpoint to test-trainer/checkpoint-1000\n", - "Configuration saved in test-trainer/checkpoint-1000/config.json\n", - "Model weights saved in test-trainer/checkpoint-1000/pytorch_model.bin\n", - "tokenizer config file saved in test-trainer/checkpoint-1000/tokenizer_config.json\n", - "Special tokens file saved in test-trainer/checkpoint-1000/special_tokens_map.json\n", - "\n", - "\n", - "Training completed. Do not forget to share your model on huggingface.co/models =)\n", - "\n", - "\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "TrainOutput(global_step=1377, training_loss=0.6010539955909302, metrics={'train_runtime': 409.3483, 'train_samples_per_second': 26.882, 'train_steps_per_second': 3.364, 'total_flos': 420167799858720.0, 'train_loss': 0.6010539955909302, 'epoch': 3.0})" - ] - }, - "metadata": {}, - "execution_count": 13 - } + "text/plain": [ + "Downloading: 0%| | 0.00/570 [00:00" - ], - "text/html": [ - "\n", - "

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" ], - "metadata": { - "id": "XYAjiJuJCl4g" - } + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "code", - "source": [ - "def compute_metrics(eval_preds):\n", - " metric = load_metric(\"glue\", \"mrpc\")\n", - " logits, labels = eval_preds\n", - " predictions = np.argmax(logits, axis=-1)\n", - " return metric.compute(predictions=predictions, references=labels)" - ], - "metadata": { - "id": "2E5CI8rd4ay-" - }, - "execution_count": null, - "outputs": [] + "name": "stderr", + "output_type": "stream", + "text": [ + "Saving model checkpoint to test-trainer/checkpoint-500\n", + "Configuration saved in test-trainer/checkpoint-500/config.json\n", + "Model weights saved in test-trainer/checkpoint-500/pytorch_model.bin\n", + "tokenizer config file saved in test-trainer/checkpoint-500/tokenizer_config.json\n", + "Special tokens file saved in test-trainer/checkpoint-500/special_tokens_map.json\n", + "Saving model checkpoint to test-trainer/checkpoint-1000\n", + "Configuration saved in test-trainer/checkpoint-1000/config.json\n", + "Model weights saved in test-trainer/checkpoint-1000/pytorch_model.bin\n", + "tokenizer config file saved in test-trainer/checkpoint-1000/tokenizer_config.json\n", + "Special tokens file saved in test-trainer/checkpoint-1000/special_tokens_map.json\n", + "\n", + "\n", + "Training completed. Do not forget to share your model on huggingface.co/models =)\n", + "\n", + "\n" + ] }, { - "cell_type": "code", - "source": [ - "training_args = TrainingArguments(\"test-trainer\", evaluation_strategy=\"epoch\")\n", - "model = AutoModelForSequenceClassification.from_pretrained(checkpoint, num_labels=2)\n", - "\n", - "trainer = Trainer(\n", - " model,\n", - " training_args,\n", - " train_dataset=tokenized_datasets[\"train\"],\n", - " eval_dataset=tokenized_datasets[\"validation\"],\n", - " data_collator=data_collator,\n", - " tokenizer=tokenizer,\n", - " compute_metrics=compute_metrics,\n", - ")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "AIylhrC94dot", - "outputId": "3eae99ae-7677-457f-c612-a3c2f5e47bd3" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "PyTorch: setting up devices\n", - "The default value for the training argument `--report_to` will change in v5 (from all installed integrations to none). In v5, you will need to use `--report_to all` to get the same behavior as now. You should start updating your code and make this info disappear :-).\n", - "loading configuration file https://huggingface.co/bert-base-uncased/resolve/main/config.json from cache at /root/.cache/huggingface/transformers/3c61d016573b14f7f008c02c4e51a366c67ab274726fe2910691e2a761acf43e.37395cee442ab11005bcd270f3c34464dc1704b715b5d7d52b1a461abe3b9e4e\n", - "Model config BertConfig {\n", - " \"_name_or_path\": \"bert-base-uncased\",\n", - " \"architectures\": [\n", - " \"BertForMaskedLM\"\n", - " ],\n", - " \"attention_probs_dropout_prob\": 0.1,\n", - " \"classifier_dropout\": null,\n", - " \"gradient_checkpointing\": false,\n", - " \"hidden_act\": \"gelu\",\n", - " \"hidden_dropout_prob\": 0.1,\n", - " \"hidden_size\": 768,\n", - " \"initializer_range\": 0.02,\n", - " \"intermediate_size\": 3072,\n", - " \"layer_norm_eps\": 1e-12,\n", - " \"max_position_embeddings\": 512,\n", - " \"model_type\": \"bert\",\n", - " \"num_attention_heads\": 12,\n", - " \"num_hidden_layers\": 12,\n", - " \"pad_token_id\": 0,\n", - " \"position_embedding_type\": \"absolute\",\n", - " \"transformers_version\": \"4.15.0\",\n", - " \"type_vocab_size\": 2,\n", - " \"use_cache\": true,\n", - " \"vocab_size\": 30522\n", - "}\n", - "\n", - "loading weights file https://huggingface.co/bert-base-uncased/resolve/main/pytorch_model.bin from cache at /root/.cache/huggingface/transformers/a8041bf617d7f94ea26d15e218abd04afc2004805632abc0ed2066aa16d50d04.faf6ea826ae9c5867d12b22257f9877e6b8367890837bd60f7c54a29633f7f2f\n", - "Some weights of the model checkpoint at bert-base-uncased were not used when initializing BertForSequenceClassification: ['cls.predictions.decoder.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.dense.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.transform.LayerNorm.weight', 'cls.seq_relationship.weight', 'cls.predictions.bias', 'cls.seq_relationship.bias']\n", - "- This IS expected if you are initializing BertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", - "- This IS NOT expected if you are initializing BertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", - "Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight']\n", - "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n" - ] - } + "data": { + "text/plain": [ + "TrainOutput(global_step=1377, training_loss=0.6010539955909302, metrics={'train_runtime': 409.3483, 'train_samples_per_second': 26.882, 'train_steps_per_second': 3.364, 'total_flos': 420167799858720.0, 'train_loss': 0.6010539955909302, 'epoch': 3.0})" ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "trainer.train()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "bKuxvocqCgj_" + }, + "source": [ + "# ลองให้ทำนายของบน Validation Set" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 125 + }, + "id": "xPOfoSg_4Va1", + "outputId": "91d4729c-423c-4e56-c168-e1fbc6a54c35" + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "The following columns in the test set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: sentence2, idx, sentence1.\n", + "***** Running Prediction *****\n", + " Num examples = 408\n", + " Batch size = 8\n" + ] }, { - "cell_type": "code", - "source": [ - "trainer.train()" + "data": { + "text/html": [ + "\n", + "

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" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "The following columns in the evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: sentence2, idx, sentence1.\n", - "***** Running Evaluation *****\n", - " Num examples = 408\n", - " Batch size = 8\n", - "Saving model checkpoint to test-trainer/checkpoint-500\n", - "Configuration saved in test-trainer/checkpoint-500/config.json\n", - "Model weights saved in test-trainer/checkpoint-500/pytorch_model.bin\n", - "tokenizer config file saved in test-trainer/checkpoint-500/tokenizer_config.json\n", - "Special tokens file saved in test-trainer/checkpoint-500/special_tokens_map.json\n", - "The following columns in the evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: sentence2, idx, sentence1.\n", - "***** Running Evaluation *****\n", - " Num examples = 408\n", - " Batch size = 8\n", - "Saving model checkpoint to test-trainer/checkpoint-1000\n", - "Configuration saved in test-trainer/checkpoint-1000/config.json\n", - "Model weights saved in test-trainer/checkpoint-1000/pytorch_model.bin\n", - "tokenizer config file saved in test-trainer/checkpoint-1000/tokenizer_config.json\n", - "Special tokens file saved in test-trainer/checkpoint-1000/special_tokens_map.json\n", - "The following columns in the evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: sentence2, idx, sentence1.\n", - "***** Running Evaluation *****\n", - " Num examples = 408\n", - " Batch size = 8\n", - "\n", - "\n", - "Training completed. Do not forget to share your model on huggingface.co/models =)\n", - "\n", - "\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "TrainOutput(global_step=1377, training_loss=0.46636780605163797, metrics={'train_runtime': 421.3708, 'train_samples_per_second': 26.115, 'train_steps_per_second': 3.268, 'total_flos': 420167799858720.0, 'train_loss': 0.46636780605163797, 'epoch': 3.0})" - ] - }, - "metadata": {}, - "execution_count": 27 - } + "text/plain": [ + "" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "markdown", - "source": [ - "# วัดผลบน Test" - ], - "metadata": { - "id": "Nj3coayGxYeF" - } + "name": "stdout", + "output_type": "stream", + "text": [ + "(408, 2) (408,)\n" + ] + } + ], + "source": [ + "predictions = trainer.predict(tokenized_datasets[\"validation\"])\n", + "print(predictions.predictions.shape, predictions.label_ids.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "LutCDI4ifB8m", + "outputId": "14ed3272-e316-4644-9daa-2902c25382a3" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "predictions = trainer.predict(tokenized_datasets[\"test\"])\n", - "preds = np.argmax(predictions.predictions, axis=-1)\n", - "metric.compute(predictions=preds, references=predictions.label_ids)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 125 - }, - "id": "9WMe6LFaxYIv", - "outputId": "92c1d77c-51ca-4536-e6dc-a97a3dbff910" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "The following columns in the test set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: sentence2, idx, sentence1.\n", - "***** Running Prediction *****\n", - " Num examples = 1725\n", - " Batch size = 8\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "" - ], - "text/html": [ - "\n", - "

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\n", - " " - ] - }, - "metadata": {} - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "{'accuracy': 0.7402898550724638, 'f1': 0.8114478114478115}" - ] - }, - "metadata": {}, - "execution_count": 28 - } + "data": { + "text/plain": [ + "array([1, 1, 1, ..., 0, 1, 1])" ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "predictions.label_ids" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "VtnSi5Al_kGT", + "outputId": "028dfab1-058d-430d-e93e-ea17b9d0ba94" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# แล้วถ้าถนัดเขียน Pytorch แบบปกติ? (hand-craft loop)" - ], - "metadata": { - "id": "pMh1lVwq9L6K" - } + "name": "stdout", + "output_type": "stream", + "text": [ + "[[-0.8269311 1.624018 ]\n", + " [-0.20901814 0.18285246]\n", + " [-0.6377912 1.3980953 ]\n", + " [-0.737342 1.3662398 ]\n", + " [-0.39176607 0.59216356]] [1 1 1 1 1]\n" + ] + } + ], + "source": [ + "import numpy as np\n", + "\n", + "preds = np.argmax(predictions.predictions, axis=-1)\n", + "print(predictions.predictions[:5],preds[:5]) " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "CtySCALQ1YKA" + }, + "source": [ + "# วัดความแม่นยำบน Dev set" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 67, + "referenced_widgets": [ + "4a0b0d2fc70d433590f3d633e9c806e9", + "218cd233abc84973838ad062deb48270", + "3822987e15c1444c92749eda31a4b220", + "4b6d6f877e474734bf2f3ea78c1b7732", + "3529abaa7d9b479d87f19997d8de547a", + "56022b4493994645afc34be031979592", + "bcb8fdafd88e4a6b966fbad6ab665c40", + "e152631d3e1c4cfea29aa0e417b94b5c", + "a3f9ca14733e49c88d34b7b4aafd8695", + "104c76fff9c640fcb21b9bbb329afa74", + "44328d0eb2d64e80b6ad05aa3567c42b" + ] }, + "id": "N9ZANgJU4Xob", + "outputId": "47502a1a-baaa-45fd-c3d6-8237947475a6" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "tokenized_datasets" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "b_pz3NycxkXN", - "outputId": "fada3d4c-d9df-40c2-88bc-1115f436d29a" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4a0b0d2fc70d433590f3d633e9c806e9", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "DatasetDict({\n", - " train: Dataset({\n", - " features: ['attention_mask', 'idx', 'input_ids', 'label', 'sentence1', 'sentence2', 'token_type_ids'],\n", - " num_rows: 3668\n", - " })\n", - " validation: Dataset({\n", - " features: ['attention_mask', 'idx', 'input_ids', 'label', 'sentence1', 'sentence2', 'token_type_ids'],\n", - " num_rows: 408\n", - " })\n", - " test: Dataset({\n", - " features: ['attention_mask', 'idx', 'input_ids', 'label', 'sentence1', 'sentence2', 'token_type_ids'],\n", - " num_rows: 1725\n", - " })\n", - "})" - ] - }, - "metadata": {}, - "execution_count": 29 - } + "text/plain": [ + "Downloading: 0%| | 0.00/1.86k [00:00\n", + " \n", + " \n", + " [51/51 02:17]\n", + " \n", + " " ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "cf4QeKom9U63", - "outputId": "e0301a72-bc6b-41c3-aa24-43de9892b188" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "{'attention_mask': torch.Size([8, 70]),\n", - " 'input_ids': torch.Size([8, 70]),\n", - " 'labels': torch.Size([8]),\n", - " 'token_type_ids': torch.Size([8, 70])}" - ] - }, - "metadata": {}, - "execution_count": 32 - } + "text/plain": [ + "" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "code", - "source": [ - "model = AutoModelForSequenceClassification.from_pretrained(checkpoint, num_labels=2) #สร้างโมเดลเหมือนเดิม" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "xzDn7C8N9WmI", - "outputId": "31dd69a2-82bb-4d1c-cc2c-b55d30385138" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "loading configuration file https://huggingface.co/bert-base-uncased/resolve/main/config.json from cache at /root/.cache/huggingface/transformers/3c61d016573b14f7f008c02c4e51a366c67ab274726fe2910691e2a761acf43e.37395cee442ab11005bcd270f3c34464dc1704b715b5d7d52b1a461abe3b9e4e\n", - "Model config BertConfig {\n", - " \"_name_or_path\": \"bert-base-uncased\",\n", - " \"architectures\": [\n", - " \"BertForMaskedLM\"\n", - " ],\n", - " \"attention_probs_dropout_prob\": 0.1,\n", - " \"classifier_dropout\": null,\n", - " \"gradient_checkpointing\": false,\n", - " \"hidden_act\": \"gelu\",\n", - " \"hidden_dropout_prob\": 0.1,\n", - " \"hidden_size\": 768,\n", - " \"initializer_range\": 0.02,\n", - " \"intermediate_size\": 3072,\n", - " \"layer_norm_eps\": 1e-12,\n", - " \"max_position_embeddings\": 512,\n", - " \"model_type\": \"bert\",\n", - " \"num_attention_heads\": 12,\n", - " \"num_hidden_layers\": 12,\n", - " \"pad_token_id\": 0,\n", - " \"position_embedding_type\": \"absolute\",\n", - " \"transformers_version\": \"4.15.0\",\n", - " \"type_vocab_size\": 2,\n", - " \"use_cache\": true,\n", - " \"vocab_size\": 30522\n", - "}\n", - "\n", - "loading weights file https://huggingface.co/bert-base-uncased/resolve/main/pytorch_model.bin from cache at /root/.cache/huggingface/transformers/a8041bf617d7f94ea26d15e218abd04afc2004805632abc0ed2066aa16d50d04.faf6ea826ae9c5867d12b22257f9877e6b8367890837bd60f7c54a29633f7f2f\n", - "Some weights of the model checkpoint at bert-base-uncased were not used when initializing BertForSequenceClassification: ['cls.predictions.decoder.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.dense.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.transform.LayerNorm.weight', 'cls.seq_relationship.weight', 'cls.predictions.bias', 'cls.seq_relationship.bias']\n", - "- This IS expected if you are initializing BertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", - "- This IS NOT expected if you are initializing BertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", - "Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight']\n", - "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n" - ] - } + "data": { + "text/plain": [ + "{'accuracy': 0.7188405797101449, 'f1': 0.8125241592578275}" ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "predictions = trainer.predict(tokenized_datasets[\"test\"])\n", + "preds = np.argmax(predictions.predictions, axis=-1)\n", + "metric.compute(predictions=preds, references=predictions.label_ids)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "XYAjiJuJCl4g" + }, + "source": [ + "# แล้วจะรู้ได้ไงว่าโมเดลเราดีแล้ว?\n", + "= ก็วัด dev set ตอนเทรนเลยสิ!!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "2E5CI8rd4ay-" + }, + "outputs": [], + "source": [ + "def compute_metrics(eval_preds):\n", + " metric = load_metric(\"glue\", \"mrpc\")\n", + " logits, labels = eval_preds\n", + " predictions = np.argmax(logits, axis=-1)\n", + " return metric.compute(predictions=predictions, references=labels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "AIylhrC94dot", + "outputId": "3eae99ae-7677-457f-c612-a3c2f5e47bd3" + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "PyTorch: setting up devices\n", + "The default value for the training argument `--report_to` will change in v5 (from all installed integrations to none). In v5, you will need to use `--report_to all` to get the same behavior as now. You should start updating your code and make this info disappear :-).\n", + "loading configuration file https://huggingface.co/bert-base-uncased/resolve/main/config.json from cache at /root/.cache/huggingface/transformers/3c61d016573b14f7f008c02c4e51a366c67ab274726fe2910691e2a761acf43e.37395cee442ab11005bcd270f3c34464dc1704b715b5d7d52b1a461abe3b9e4e\n", + "Model config BertConfig {\n", + " \"_name_or_path\": \"bert-base-uncased\",\n", + " \"architectures\": [\n", + " \"BertForMaskedLM\"\n", + " ],\n", + " \"attention_probs_dropout_prob\": 0.1,\n", + " \"classifier_dropout\": null,\n", + " \"gradient_checkpointing\": false,\n", + " \"hidden_act\": \"gelu\",\n", + " \"hidden_dropout_prob\": 0.1,\n", + " \"hidden_size\": 768,\n", + " \"initializer_range\": 0.02,\n", + " \"intermediate_size\": 3072,\n", + " \"layer_norm_eps\": 1e-12,\n", + " \"max_position_embeddings\": 512,\n", + " \"model_type\": \"bert\",\n", + " \"num_attention_heads\": 12,\n", + " \"num_hidden_layers\": 12,\n", + " \"pad_token_id\": 0,\n", + " \"position_embedding_type\": \"absolute\",\n", + " \"transformers_version\": \"4.15.0\",\n", + " \"type_vocab_size\": 2,\n", + " \"use_cache\": true,\n", + " \"vocab_size\": 30522\n", + "}\n", + "\n", + "loading weights file https://huggingface.co/bert-base-uncased/resolve/main/pytorch_model.bin from cache at /root/.cache/huggingface/transformers/a8041bf617d7f94ea26d15e218abd04afc2004805632abc0ed2066aa16d50d04.faf6ea826ae9c5867d12b22257f9877e6b8367890837bd60f7c54a29633f7f2f\n", + "Some weights of the model checkpoint at bert-base-uncased were not used when initializing BertForSequenceClassification: ['cls.predictions.decoder.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.dense.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.transform.LayerNorm.weight', 'cls.seq_relationship.weight', 'cls.predictions.bias', 'cls.seq_relationship.bias']\n", + "- This IS expected if you are initializing BertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", + "- This IS NOT expected if you are initializing BertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", + "Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight']\n", + "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n" + ] + } + ], + "source": [ + "training_args = TrainingArguments(\"test-trainer\", evaluation_strategy=\"epoch\")\n", + "model = AutoModelForSequenceClassification.from_pretrained(checkpoint, num_labels=2)\n", + "\n", + "trainer = Trainer(\n", + " model,\n", + " training_args,\n", + " train_dataset=tokenized_datasets[\"train\"],\n", + " eval_dataset=tokenized_datasets[\"validation\"],\n", + " data_collator=data_collator,\n", + " tokenizer=tokenizer,\n", + " compute_metrics=compute_metrics,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 829 + }, + "id": "-XLSLtR34euO", + "outputId": "9aefba8b-3239-4ddf-ad1c-47c6b1fe9743" + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "The following columns in the training set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: sentence2, idx, sentence1.\n", + "***** Running training *****\n", + " Num examples = 3668\n", + " Num Epochs = 3\n", + " Instantaneous batch size per device = 8\n", + " Total train batch size (w. parallel, distributed & accumulation) = 8\n", + " Gradient Accumulation steps = 1\n", + " Total optimization steps = 1377\n" + ] }, { - "cell_type": "code", - "source": [ - "model" + "data": { + "text/html": [ + "\n", + "
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1No log0.5533490.7156860.814696
20.6065000.7613040.7303920.827586
30.4466000.9111340.7401960.819113

" ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "ZiHM2K-vycda", - "outputId": "f416a6b1-c7d7-41d6-b28d-93f17f396c71" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "BertForSequenceClassification(\n", - " (bert): BertModel(\n", - " (embeddings): BertEmbeddings(\n", - " (word_embeddings): Embedding(30522, 768, padding_idx=0)\n", - " (position_embeddings): Embedding(512, 768)\n", - " (token_type_embeddings): Embedding(2, 768)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " (encoder): BertEncoder(\n", - " (layer): ModuleList(\n", - " (0): BertLayer(\n", - " (attention): BertAttention(\n", - " (self): BertSelfAttention(\n", - " (query): Linear(in_features=768, out_features=768, bias=True)\n", - " (key): Linear(in_features=768, out_features=768, bias=True)\n", - " (value): Linear(in_features=768, out_features=768, bias=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " (output): BertSelfOutput(\n", - " (dense): Linear(in_features=768, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (intermediate): BertIntermediate(\n", - " (dense): Linear(in_features=768, out_features=3072, bias=True)\n", - " )\n", - " (output): BertOutput(\n", - " (dense): Linear(in_features=3072, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (1): BertLayer(\n", - " (attention): BertAttention(\n", - " (self): BertSelfAttention(\n", - " (query): Linear(in_features=768, out_features=768, bias=True)\n", - " (key): Linear(in_features=768, out_features=768, bias=True)\n", - " (value): Linear(in_features=768, out_features=768, bias=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " (output): BertSelfOutput(\n", - " (dense): Linear(in_features=768, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (intermediate): BertIntermediate(\n", - " (dense): Linear(in_features=768, out_features=3072, bias=True)\n", - " )\n", - " (output): BertOutput(\n", - " (dense): Linear(in_features=3072, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (2): BertLayer(\n", - " (attention): BertAttention(\n", - " (self): BertSelfAttention(\n", - " (query): Linear(in_features=768, out_features=768, bias=True)\n", - " (key): Linear(in_features=768, out_features=768, bias=True)\n", - " (value): Linear(in_features=768, out_features=768, bias=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " (output): BertSelfOutput(\n", - " (dense): Linear(in_features=768, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (intermediate): BertIntermediate(\n", - " (dense): Linear(in_features=768, out_features=3072, bias=True)\n", - " )\n", - " (output): BertOutput(\n", - " (dense): Linear(in_features=3072, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (3): BertLayer(\n", - " (attention): BertAttention(\n", - " (self): BertSelfAttention(\n", - " (query): Linear(in_features=768, out_features=768, bias=True)\n", - " (key): Linear(in_features=768, out_features=768, bias=True)\n", - " (value): Linear(in_features=768, out_features=768, bias=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " (output): BertSelfOutput(\n", - " (dense): Linear(in_features=768, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (intermediate): BertIntermediate(\n", - " (dense): Linear(in_features=768, out_features=3072, bias=True)\n", - " )\n", - " (output): BertOutput(\n", - " (dense): Linear(in_features=3072, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (4): BertLayer(\n", - " (attention): BertAttention(\n", - " (self): BertSelfAttention(\n", - " (query): Linear(in_features=768, out_features=768, bias=True)\n", - " (key): Linear(in_features=768, out_features=768, bias=True)\n", - " (value): Linear(in_features=768, out_features=768, bias=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " (output): BertSelfOutput(\n", - " (dense): Linear(in_features=768, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (intermediate): BertIntermediate(\n", - " (dense): Linear(in_features=768, out_features=3072, bias=True)\n", - " )\n", - " (output): BertOutput(\n", - " (dense): Linear(in_features=3072, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (5): BertLayer(\n", - " (attention): BertAttention(\n", - " (self): BertSelfAttention(\n", - " (query): Linear(in_features=768, out_features=768, bias=True)\n", - " (key): Linear(in_features=768, out_features=768, bias=True)\n", - " (value): Linear(in_features=768, out_features=768, bias=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " (output): BertSelfOutput(\n", - " (dense): Linear(in_features=768, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (intermediate): BertIntermediate(\n", - " (dense): Linear(in_features=768, out_features=3072, bias=True)\n", - " )\n", - " (output): BertOutput(\n", - " (dense): Linear(in_features=3072, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (6): BertLayer(\n", - " (attention): BertAttention(\n", - " (self): BertSelfAttention(\n", - " (query): Linear(in_features=768, out_features=768, bias=True)\n", - " (key): Linear(in_features=768, out_features=768, bias=True)\n", - " (value): Linear(in_features=768, out_features=768, bias=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " (output): BertSelfOutput(\n", - " (dense): Linear(in_features=768, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (intermediate): BertIntermediate(\n", - " (dense): Linear(in_features=768, out_features=3072, bias=True)\n", - " )\n", - " (output): BertOutput(\n", - " (dense): Linear(in_features=3072, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (7): BertLayer(\n", - " (attention): BertAttention(\n", - " (self): BertSelfAttention(\n", - " (query): Linear(in_features=768, out_features=768, bias=True)\n", - " (key): Linear(in_features=768, out_features=768, bias=True)\n", - " (value): Linear(in_features=768, out_features=768, bias=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " (output): BertSelfOutput(\n", - " (dense): Linear(in_features=768, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (intermediate): BertIntermediate(\n", - " (dense): Linear(in_features=768, out_features=3072, bias=True)\n", - " )\n", - " (output): BertOutput(\n", - " (dense): Linear(in_features=3072, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (8): BertLayer(\n", - " (attention): BertAttention(\n", - " (self): BertSelfAttention(\n", - " (query): Linear(in_features=768, out_features=768, bias=True)\n", - " (key): Linear(in_features=768, out_features=768, bias=True)\n", - " (value): Linear(in_features=768, out_features=768, bias=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " (output): BertSelfOutput(\n", - " (dense): Linear(in_features=768, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (intermediate): BertIntermediate(\n", - " (dense): Linear(in_features=768, out_features=3072, bias=True)\n", - " )\n", - " (output): BertOutput(\n", - " (dense): Linear(in_features=3072, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (9): BertLayer(\n", - " (attention): BertAttention(\n", - " (self): BertSelfAttention(\n", - " (query): Linear(in_features=768, out_features=768, bias=True)\n", - " (key): Linear(in_features=768, out_features=768, bias=True)\n", - " (value): Linear(in_features=768, out_features=768, bias=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " (output): BertSelfOutput(\n", - " (dense): Linear(in_features=768, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (intermediate): BertIntermediate(\n", - " (dense): Linear(in_features=768, out_features=3072, bias=True)\n", - " )\n", - " (output): BertOutput(\n", - " (dense): Linear(in_features=3072, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (10): BertLayer(\n", - " (attention): BertAttention(\n", - " (self): BertSelfAttention(\n", - " (query): Linear(in_features=768, out_features=768, bias=True)\n", - " (key): Linear(in_features=768, out_features=768, bias=True)\n", - " (value): Linear(in_features=768, out_features=768, bias=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " (output): BertSelfOutput(\n", - " (dense): Linear(in_features=768, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (intermediate): BertIntermediate(\n", - " (dense): Linear(in_features=768, out_features=3072, bias=True)\n", - " )\n", - " (output): BertOutput(\n", - " (dense): Linear(in_features=3072, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (11): BertLayer(\n", - " (attention): BertAttention(\n", - " (self): BertSelfAttention(\n", - " (query): Linear(in_features=768, out_features=768, bias=True)\n", - " (key): Linear(in_features=768, out_features=768, bias=True)\n", - " (value): Linear(in_features=768, out_features=768, bias=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " (output): BertSelfOutput(\n", - " (dense): Linear(in_features=768, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (intermediate): BertIntermediate(\n", - " (dense): Linear(in_features=768, out_features=3072, bias=True)\n", - " )\n", - " (output): BertOutput(\n", - " (dense): Linear(in_features=3072, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (pooler): BertPooler(\n", - " (dense): Linear(in_features=768, out_features=768, bias=True)\n", - " (activation): Tanh()\n", - " )\n", - " )\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " (classifier): Linear(in_features=768, out_features=2, bias=True)\n", - ")" - ] - }, - "metadata": {}, - "execution_count": 31 - } + "text/plain": [ + "" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "code", - "source": [ - "outputs = model(**batch)\n", - "print(outputs.loss, outputs.logits.shape) # ทดสอบก่อนว่า training data ของเรามันถูกไหม ถ้าถูกมันควรจะมี loss ออกมา" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "XrKus5Wy9el-", - "outputId": "80d86d7a-c779-481f-ed45-c5d379f99d9b" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "tensor(0.5808, grad_fn=) torch.Size([8, 2])\n" - ] - } + "name": "stderr", + "output_type": "stream", + "text": [ + "The following columns in the evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: sentence2, idx, sentence1.\n", + "***** Running Evaluation *****\n", + " Num examples = 408\n", + " Batch size = 8\n", + "Saving model checkpoint to test-trainer/checkpoint-500\n", + "Configuration saved in test-trainer/checkpoint-500/config.json\n", + "Model weights saved in test-trainer/checkpoint-500/pytorch_model.bin\n", + "tokenizer config file saved in test-trainer/checkpoint-500/tokenizer_config.json\n", + "Special tokens file saved in test-trainer/checkpoint-500/special_tokens_map.json\n", + "The following columns in the evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: sentence2, idx, sentence1.\n", + "***** Running Evaluation *****\n", + " Num examples = 408\n", + " Batch size = 8\n", + "Saving model checkpoint to test-trainer/checkpoint-1000\n", + "Configuration saved in test-trainer/checkpoint-1000/config.json\n", + "Model weights saved in test-trainer/checkpoint-1000/pytorch_model.bin\n", + "tokenizer config file saved in test-trainer/checkpoint-1000/tokenizer_config.json\n", + "Special tokens file saved in test-trainer/checkpoint-1000/special_tokens_map.json\n", + "The following columns in the evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: sentence2, idx, sentence1.\n", + "***** Running Evaluation *****\n", + " Num examples = 408\n", + " Batch size = 8\n", + "\n", + "\n", + "Training completed. Do not forget to share your model on huggingface.co/models =)\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/plain": [ + "TrainOutput(global_step=1377, training_loss=0.46636780605163797, metrics={'train_runtime': 421.3708, 'train_samples_per_second': 26.115, 'train_steps_per_second': 3.268, 'total_flos': 420167799858720.0, 'train_loss': 0.46636780605163797, 'epoch': 3.0})" ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "trainer.train()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Nj3coayGxYeF" + }, + "source": [ + "# วัดผลบน Test" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 125 + }, + "id": "9WMe6LFaxYIv", + "outputId": "92c1d77c-51ca-4536-e6dc-a97a3dbff910" + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "The following columns in the test set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: sentence2, idx, sentence1.\n", + "***** Running Prediction *****\n", + " Num examples = 1725\n", + " Batch size = 8\n" + ] }, { - "cell_type": "code", - "source": [ - "outputs.logits" + "data": { + "text/html": [ + "\n", + "

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\n", + " " ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "cQS19WFcy_w7", - "outputId": "ae26a28e-bf42-44bf-950d-8f408353c39f" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "tensor([[0.6011, 0.4220],\n", - " [0.5971, 0.4249],\n", - " [0.6049, 0.4225],\n", - " [0.6133, 0.4402],\n", - " [0.6084, 0.4223],\n", - " [0.5957, 0.4190],\n", - " [0.5940, 0.4214],\n", - " [0.6037, 0.4143]], grad_fn=)" - ] - }, - "metadata": {}, - "execution_count": 35 - } + "text/plain": [ + "" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "code", - "source": [ - "from transformers import AdamW\n", - "\n", - "optimizer = AdamW(model.parameters(), lr=5e-5)" - ], - "metadata": { - "id": "-FsGhykC9e8K" - }, - "execution_count": null, - "outputs": [] + "data": { + "text/plain": [ + "{'accuracy': 0.7402898550724638, 'f1': 0.8114478114478115}" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "predictions = trainer.predict(tokenized_datasets[\"test\"])\n", + "preds = np.argmax(predictions.predictions, axis=-1)\n", + "metric.compute(predictions=preds, references=predictions.label_ids)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "pMh1lVwq9L6K" + }, + "source": [ + "# แล้วถ้าถนัดเขียน Pytorch แบบปกติ? (hand-craft loop)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "b_pz3NycxkXN", + "outputId": "fada3d4c-d9df-40c2-88bc-1115f436d29a" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "from transformers import get_scheduler\n", - "\n", - "num_epochs = 3\n", - "num_training_steps = num_epochs * len(train_dataloader)\n", - "lr_scheduler = get_scheduler(\n", - " \"linear\",\n", - " optimizer=optimizer,\n", - " num_warmup_steps=0,\n", - " num_training_steps=num_training_steps,\n", - ")\n", - "print(num_training_steps) # Learning Rate Schedules" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "eJiG7Q0n9g7l", - "outputId": "d7c16ce4-36c6-4245-b682-519cf74f4bfe" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "1377\n" - ] - } + "data": { + "text/plain": [ + "DatasetDict({\n", + " train: Dataset({\n", + " features: ['attention_mask', 'idx', 'input_ids', 'label', 'sentence1', 'sentence2', 'token_type_ids'],\n", + " num_rows: 3668\n", + " })\n", + " validation: Dataset({\n", + " features: ['attention_mask', 'idx', 'input_ids', 'label', 'sentence1', 'sentence2', 'token_type_ids'],\n", + " num_rows: 408\n", + " })\n", + " test: Dataset({\n", + " features: ['attention_mask', 'idx', 'input_ids', 'label', 'sentence1', 'sentence2', 'token_type_ids'],\n", + " num_rows: 1725\n", + " })\n", + "})" ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tokenized_datasets" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "d96_-Mj14gw3", + "outputId": "90f239fc-8bda-4131-b3b3-9960c46b3d69" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "import torch\n", - "\n", - "device = torch.device(\"cuda\") if torch.cuda.is_available() else torch.device(\"cpu\") # ตรงนี้สำหรับคนใช้ GPU/CPU ในการเทรน\n", - "model.to(device)\n", - "device" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "S6yfQ1Tw9jma", - "outputId": "ec17800f-0037-43fb-bca0-7b8cefa7e1f2" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "device(type='cuda')" - ] - }, - "metadata": {}, - "execution_count": 37 - } + "data": { + "text/plain": [ + "['attention_mask', 'input_ids', 'labels', 'token_type_ids']" ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tokenized_datasets = tokenized_datasets.remove_columns([\"sentence1\", \"sentence2\", \"idx\"])\n", + "tokenized_datasets = tokenized_datasets.rename_column(\"label\", \"labels\")\n", + "tokenized_datasets.set_format(\"torch\")\n", + "tokenized_datasets[\"train\"].column_names" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "VRMdF11o9RO8" + }, + "outputs": [], + "source": [ + "from torch.utils.data import DataLoader\n", + "\n", + "train_dataloader = DataLoader(\n", + " tokenized_datasets[\"train\"], shuffle=True, batch_size=8, collate_fn=data_collator\n", + ")\n", + "eval_dataloader = DataLoader(\n", + " tokenized_datasets[\"validation\"], batch_size=8, collate_fn=data_collator\n", + ")\n", + "test_dataloader = DataLoader(\n", + " tokenized_datasets[\"test\"], batch_size=8, collate_fn=data_collator\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "cf4QeKom9U63", + "outputId": "e0301a72-bc6b-41c3-aa24-43de9892b188" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "from tqdm.auto import tqdm\n", - "\n", - "progress_bar = tqdm(range(num_training_steps))\n", - "\n", - "model.train()\n", - "for epoch in range(num_epochs):\n", - " for batch in train_dataloader:\n", - " batch = {k: v.to(device) for k, v in batch.items()}\n", - " outputs = model(**batch)\n", - " loss = outputs.loss\n", - " loss.backward()\n", - "\n", - " optimizer.step()\n", - " lr_scheduler.step()\n", - " optimizer.zero_grad()\n", - " progress_bar.update(1)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 49, - "referenced_widgets": [ - "31ac84e36f804173879541c8d49cc417", - "dd1bbb66a2a14672a74e28f5bbee323c", - "7031a96857ca436fa7e3048acf8c2531", - "7cf132088b854166932cdab9d6869ef3", - "d57746acb4544ae594f437003ff677db", - "a77631e3663d435cb081591fd18857ec", - "35b5d406bd3141e49cf7a9b413aca805", - "ebd192cc33db4c79a520dd1a5451eafe", - "e5b9b07dd0de4ca0b50a884b6e99f672", - "335f499329ae4fb4a23ed1b8ab48aa5b", - "908e825c12a34db09728e76182b40365" - ] - }, - "id": "_vBztqIn9oK5", - "outputId": "02ff33cf-00d8-4442-ad8b-c7b58ce06f7c" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - " 0%| | 0/1377 [00:00) torch.Size([8, 2])\n" + ] + } + ], + "source": [ + "outputs = model(**batch)\n", + "print(outputs.loss, outputs.logits.shape) # ทดสอบก่อนว่า training data ของเรามันถูกไหม ถ้าถูกมันควรจะมี loss ออกมา" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "cQS19WFcy_w7", + "outputId": "ae26a28e-bf42-44bf-950d-8f408353c39f" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "for batch in eval_dataloader:\n", - " batch = {k: v.to(device) for k, v in batch.items()}\n", - " with torch.no_grad():\n", - " outputs = model(**batch)\n", - "\n", - " logits = outputs.logits\n", - " predictions = torch.argmax(logits, dim=-1)\n", - " metric.add_batch(predictions=predictions, references=batch[\"labels\"])\n", - "\n", - "metric.compute()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Rorbcrdn9rDP", - "outputId": "31ad1247-4297-45e3-b5d4-22922a9d3b17" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "{'accuracy': 0.6838235294117647, 'f1': 0.8122270742358079}" - ] - }, - "metadata": {}, - "execution_count": 40 - } + "data": { + "text/plain": [ + "tensor([[0.6011, 0.4220],\n", + " [0.5971, 0.4249],\n", + " [0.6049, 0.4225],\n", + " [0.6133, 0.4402],\n", + " [0.6084, 0.4223],\n", + " [0.5957, 0.4190],\n", + " [0.5940, 0.4214],\n", + " [0.6037, 0.4143]], grad_fn=)" ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "outputs.logits" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "-FsGhykC9e8K" + }, + "outputs": [], + "source": [ + "from transformers import AdamW\n", + "\n", + "optimizer = AdamW(model.parameters(), lr=5e-5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "eJiG7Q0n9g7l", + "outputId": "d7c16ce4-36c6-4245-b682-519cf74f4bfe" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# วัดผลบน Test" - ], - "metadata": { - "id": "7GBby-jnzz-i" - } + "name": "stdout", + "output_type": "stream", + "text": [ + "1377\n" + ] + } + ], + "source": [ + "from transformers import get_scheduler\n", + "\n", + "num_epochs = 3\n", + "num_training_steps = num_epochs * len(train_dataloader)\n", + "lr_scheduler = get_scheduler(\n", + " \"linear\",\n", + " optimizer=optimizer,\n", + " num_warmup_steps=0,\n", + " num_training_steps=num_training_steps,\n", + ")\n", + "print(num_training_steps) # Learning Rate Schedules" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "S6yfQ1Tw9jma", + "outputId": "ec17800f-0037-43fb-bca0-7b8cefa7e1f2" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "for batch in test_dataloader:\n", - " batch = {k: v.to(device) for k, v in batch.items()}\n", - " with torch.no_grad():\n", - " outputs = model(**batch)\n", - "\n", - " logits = outputs.logits\n", - " predictions = torch.argmax(logits, dim=-1)\n", - " metric.add_batch(predictions=predictions, references=batch[\"labels\"])\n", - "\n", - "metric.compute()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "RNZ6Bx6Xzxyf", - "outputId": "9b519b91-dc95-4639-c675-3ad5f8536e6f" + "data": { + "text/plain": [ + "device(type='cuda')" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import torch\n", + "\n", + "device = torch.device(\"cuda\") if torch.cuda.is_available() else torch.device(\"cpu\") # ตรงนี้สำหรับคนใช้ GPU/CPU ในการเทรน\n", + "model.to(device)\n", + "device" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 49, + "referenced_widgets": [ + "31ac84e36f804173879541c8d49cc417", + "dd1bbb66a2a14672a74e28f5bbee323c", + "7031a96857ca436fa7e3048acf8c2531", + "7cf132088b854166932cdab9d6869ef3", + "d57746acb4544ae594f437003ff677db", + "a77631e3663d435cb081591fd18857ec", + "35b5d406bd3141e49cf7a9b413aca805", + "ebd192cc33db4c79a520dd1a5451eafe", + "e5b9b07dd0de4ca0b50a884b6e99f672", + "335f499329ae4fb4a23ed1b8ab48aa5b", + "908e825c12a34db09728e76182b40365" + ] + }, + "id": "_vBztqIn9oK5", + "outputId": "02ff33cf-00d8-4442-ad8b-c7b58ce06f7c" + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "31ac84e36f804173879541c8d49cc417", + "version_major": 2, + "version_minor": 0 }, - 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Done\n", + "Building dependency tree \n", + "Reading state information... Done\n", + "git-lfs is already the newest version (2.3.4-1).\n", + "The following packages were automatically installed and are no longer required:\n", + " libnvidia-common-460 nsight-compute-2020.2.0\n", + "Use 'apt autoremove' to remove them.\n", + "0 upgraded, 0 newly installed, 0 to remove and 42 not upgraded.\n" + ] } + ], + "source": [ + "!pip install datasets==1.17.0 transformers[sentencepiece]==4.34.0\n", + "!pip install accelerate==0.23.0\n", + "# To run the training on TPU, you will need to uncomment the followin line:\n", + "# !pip install cloud-tpu-client==0.10 torch==1.9.0 https://storage.googleapis.com/tpu-pytorch/wheels/torch_xla-1.9-cp37-cp37m-linux_x86_64.whl\n", + "!apt install git-lfs" + ] }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# บทที่ 5n - การเทรนโมเดลบน Hugging Face พาร์ท 1.2" - ], - "metadata": { - "id": "bviA42ZlzFtP" - } + { + "cell_type": "markdown", + "metadata": { + "id": "v42-SYbS-v5Z" + }, + "source": [ + "# ทำไมเราต้องเทรนการเติมคำ (Mask filling)\n", + "\n", + "ในปี 2018, มีงานวิจัยงานหนึ่งที่ชื่อว่า ULMfit ได้มีแนวคิดเกี่ยวกับ language model ในการเพิ่มประสิทธิภาพโดยใช้เทคนิค \"การย้ายโดเมน\" (domain adaptation) โดยที่ขั้นแรกจะต้องให้โมเดลเทรนบนโดเมนทั่วๆไป (เช่น Wikipedia) จากนั้นก็เทรนแบบเดิมอีกครั้ง แต่ทำบนดาต้าเซ็ตที่สนใจ (เช่น รีวิวหนัง) จากในนั้นขั้นตอนสุดท้ายก็ Finetune บนงานที่สนใจ ทำให้ language model มีประสิทธิภาพสูงสุด!!\n", + "\n", + "![image.png](data:image/png;base64,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transformers-4.15.0 xxhash-3.0.0 yarl-1.7.2\n", - "Collecting accelerate==0.5.1\n", - " Downloading accelerate-0.5.1-py3-none-any.whl (58 kB)\n", - "\u001b[K |████████████████████████████████| 58 kB 2.9 MB/s \n", - "\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.7/dist-packages (from accelerate==0.5.1) (1.21.6)\n", - "Requirement already satisfied: torch>=1.4.0 in /usr/local/lib/python3.7/dist-packages (from accelerate==0.5.1) (1.11.0+cu113)\n", - "Requirement already satisfied: pyyaml in /usr/local/lib/python3.7/dist-packages (from accelerate==0.5.1) (6.0)\n", - "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from torch>=1.4.0->accelerate==0.5.1) (4.2.0)\n", - "Installing collected packages: accelerate\n", - "Successfully installed accelerate-0.5.1\n", - "Reading package lists... Done\n", - "Building dependency tree \n", - "Reading state information... Done\n", - "git-lfs is already the newest version (2.3.4-1).\n", - "The following packages were automatically installed and are no longer required:\n", - " libnvidia-common-460 nsight-compute-2020.2.0\n", - "Use 'apt autoremove' to remove them.\n", - "0 upgraded, 0 newly installed, 0 to remove and 42 not upgraded.\n" - ] - } - ], - "source": [ - "!pip install datasets==1.17.0 transformers[sentencepiece]==4.15.0\n", - "!pip install accelerate==0.5.1\n", - "# To run the training on TPU, you will need to uncomment the followin line:\n", - "# !pip install cloud-tpu-client==0.10 torch==1.9.0 https://storage.googleapis.com/tpu-pytorch/wheels/torch_xla-1.9-cp37-cp37m-linux_x86_64.whl\n", - "!apt install git-lfs" + "text/plain": [ + "Downloading: 0%| | 0.00/256M [00:00>> DistilBERT number of parameters: {round(distilbert_num_parameters)}M'\")\n", - "print(f\"'>>> BERT number of parameters: 110M'\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "fDqfjxno_3vS", - "outputId": "fbac8911-d684-44b3-ffc1-0479334643b5" - }, - "execution_count": 3, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "'>>> DistilBERT number of parameters: 67M'\n", - "'>>> BERT number of parameters: 110M'\n" - ] - } + "data": { + "text/plain": [ + "DistilBertForMaskedLM(\n", + " (distilbert): DistilBertModel(\n", + " (embeddings): Embeddings(\n", + " (word_embeddings): Embedding(30522, 768, padding_idx=0)\n", + " (position_embeddings): Embedding(512, 768)\n", + " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", + " (dropout): Dropout(p=0.1, inplace=False)\n", + " )\n", + " (transformer): Transformer(\n", + " (layer): ModuleList(\n", + " (0): TransformerBlock(\n", + " (attention): MultiHeadSelfAttention(\n", + " (dropout): Dropout(p=0.1, inplace=False)\n", + " (q_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (k_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (v_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (out_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " )\n", + " (sa_layer_norm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", + " (ffn): FFN(\n", + " (dropout): Dropout(p=0.1, inplace=False)\n", + " (lin1): Linear(in_features=768, out_features=3072, bias=True)\n", + " (lin2): Linear(in_features=3072, out_features=768, bias=True)\n", + " )\n", + " (output_layer_norm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", + " )\n", + " (1): TransformerBlock(\n", + " (attention): MultiHeadSelfAttention(\n", + " (dropout): Dropout(p=0.1, inplace=False)\n", + " (q_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (k_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (v_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (out_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " )\n", + " (sa_layer_norm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", + " (ffn): FFN(\n", + " (dropout): Dropout(p=0.1, inplace=False)\n", + " (lin1): Linear(in_features=768, out_features=3072, bias=True)\n", + " (lin2): Linear(in_features=3072, out_features=768, bias=True)\n", + " )\n", + " (output_layer_norm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", + " )\n", + " (2): TransformerBlock(\n", + " (attention): MultiHeadSelfAttention(\n", + " (dropout): Dropout(p=0.1, inplace=False)\n", + " (q_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (k_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (v_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (out_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " )\n", + " (sa_layer_norm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", + " (ffn): FFN(\n", + " (dropout): Dropout(p=0.1, inplace=False)\n", + " (lin1): Linear(in_features=768, out_features=3072, bias=True)\n", + " (lin2): Linear(in_features=3072, out_features=768, bias=True)\n", + " )\n", + " (output_layer_norm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", + " )\n", + " (3): TransformerBlock(\n", + " (attention): MultiHeadSelfAttention(\n", + " (dropout): Dropout(p=0.1, inplace=False)\n", + " (q_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (k_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (v_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (out_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " )\n", + " (sa_layer_norm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", + " (ffn): FFN(\n", + " (dropout): Dropout(p=0.1, inplace=False)\n", + " (lin1): Linear(in_features=768, out_features=3072, bias=True)\n", + " (lin2): Linear(in_features=3072, out_features=768, bias=True)\n", + " )\n", + " (output_layer_norm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", + " )\n", + " (4): TransformerBlock(\n", + " (attention): MultiHeadSelfAttention(\n", + " (dropout): Dropout(p=0.1, inplace=False)\n", + " (q_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (k_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (v_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (out_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " )\n", + " (sa_layer_norm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", + " (ffn): FFN(\n", + " (dropout): Dropout(p=0.1, inplace=False)\n", + " (lin1): Linear(in_features=768, out_features=3072, bias=True)\n", + " (lin2): Linear(in_features=3072, out_features=768, bias=True)\n", + " )\n", + " (output_layer_norm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", + " )\n", + " (5): TransformerBlock(\n", + " (attention): MultiHeadSelfAttention(\n", + " (dropout): Dropout(p=0.1, inplace=False)\n", + " (q_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (k_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (v_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " (out_lin): Linear(in_features=768, out_features=768, bias=True)\n", + " )\n", + " (sa_layer_norm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", + " (ffn): FFN(\n", + " (dropout): Dropout(p=0.1, inplace=False)\n", + " (lin1): Linear(in_features=768, out_features=3072, bias=True)\n", + " (lin2): Linear(in_features=3072, out_features=768, bias=True)\n", + " )\n", + " (output_layer_norm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (vocab_transform): Linear(in_features=768, out_features=768, bias=True)\n", + " (vocab_layer_norm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", + " (vocab_projector): Linear(in_features=768, out_features=30522, bias=True)\n", + " (mlm_loss_fct): CrossEntropyLoss()\n", + ")" ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "fDqfjxno_3vS", + "outputId": "fbac8911-d684-44b3-ffc1-0479334643b5" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# ทดสอบการเติมคำ" - ], - "metadata": { - "id": "d4RRGqXW23LK" - } + "name": "stdout", + "output_type": "stream", + "text": [ + "'>>> DistilBERT number of parameters: 67M'\n", + "'>>> BERT number of parameters: 110M'\n" + ] + } + ], + "source": [ + "distilbert_num_parameters = model.num_parameters() / 1_000_000\n", + "print(f\"'>>> DistilBERT number of parameters: {round(distilbert_num_parameters)}M'\")\n", + "print(f\"'>>> BERT number of parameters: 110M'\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "d4RRGqXW23LK" + }, + "source": [ + "# ทดสอบการเติมคำ" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "sl5Dk4rTqWJs", + "outputId": "a5fa3a00-6d77-41fd-bc1d-60455f085f47" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "inputs" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "sl5Dk4rTqWJs", - "outputId": "a5fa3a00-6d77-41fd-bc1d-60455f085f47" - }, - "execution_count": 5, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "{'input_ids': tensor([[ 101, 2023, 2003, 1037, 2307, 103, 1012, 102]]), 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1]])}" - ] - }, - "metadata": {}, - "execution_count": 5 - } + "data": { + "text/plain": [ + "{'input_ids': tensor([[ 101, 2023, 2003, 1037, 2307, 103, 1012, 102]]), 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1]])}" ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "inputs" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "rgtGXneI04Nm", + "outputId": "5ac32bbd-3d3a-4b26-9674-7d27701fa014" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "text = \"This is a great [MASK].\"\n", - "\n", - "inputs = tokenizer(text, return_tensors=\"pt\")\n", - "token_logits = model(**inputs).logits\n", - "# หาตำแหน่งของ [MASK] จากนั้นคำนวณว่าจะเอาคำไหนมาแทน [MASK] ด้วย token_logits\n", - "print(token_logits,token_logits.shape)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "rgtGXneI04Nm", - "outputId": "5ac32bbd-3d3a-4b26-9674-7d27701fa014" + "name": "stdout", + "output_type": "stream", + "text": [ + "tensor([[[ -5.5882, -5.5868, -5.5958, ..., -4.9448, -4.8174, -2.9905],\n", + " [-11.9031, -11.8872, -12.0623, ..., -10.9570, -10.6464, -8.6323],\n", + " [-11.9604, -12.1520, -12.1279, ..., -10.0218, -8.6074, -8.0971],\n", + " ...,\n", + " [ -4.8228, -4.6268, -5.1041, ..., -4.2771, -5.0184, -3.9428],\n", + " [-11.2945, -11.2388, -11.3857, ..., -9.2063, -9.3411, -6.1505],\n", + " [ -9.5213, -9.4632, -9.5022, ..., -8.6561, -8.4908, -4.6903]]],\n", + " grad_fn=) torch.Size([1, 8, 30522])\n" + ] + } + ], + "source": [ + "text = \"This is a great [MASK].\"\n", + "\n", + "inputs = tokenizer(text, return_tensors=\"pt\")\n", + "token_logits = model(**inputs).logits\n", + "# หาตำแหน่งของ [MASK] จากนั้นคำนวณว่าจะเอาคำไหนมาแทน [MASK] ด้วย token_logits\n", + "print(token_logits,token_logits.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "IA9bVbSw1ev8", + "outputId": "152f5a4e-23df-42c5-c6d8-138cd23287cc" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[ 101, 2023, 2003, 1037, 2307, 103, 1012, 102]])" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "inputs[\"input_ids\"] # 8" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8kiN8pqJqjcf" + }, + "source": [ + "# 101 กับ 102 คืออะไร??" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "5Aa5kWoj1CG8", + "outputId": "cfe8b451-48fe-4b7d-bd7d-e95ed62a4012" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "30522" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tokenizer.vocab_size # 30522" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "id": "DPgcd-_D1Qgn" + }, + "outputs": [], + "source": [ + "mask_token_index = torch.where(inputs[\"input_ids\"] == tokenizer.mask_token_id)[1]\n", + "mask_token_logits = token_logits[0, mask_token_index, :]\n", + "# เลือกคำที่จะมาแทน (tokenizer.mask_token_id) ด้วยคำที่มี prob สูงที่สุด " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "k_ndEPD01nSh", + "outputId": "39716b82-4bc6-402c-ffaf-79f6ccdcf1c9" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[-4.8228, -4.6268, -5.1041, ..., -4.2771, -5.0184, -3.9428]],\n", + " grad_fn=)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mask_token_logits" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "vq3s_IrR_4iW", + "outputId": "764885d9-7e5a-42e7-ebe4-58fa5122a7d6" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'>>> This is a great deal.'\n", + "'>>> This is a great success.'\n", + "'>>> This is a great adventure.'\n", + "'>>> This is a great idea.'\n", + "'>>> This is a great feat.'\n" + ] + } + ], + "source": [ + "top_5_tokens = torch.topk(mask_token_logits, 5, dim=1).indices[0].tolist()\n", + "for token in top_5_tokens:\n", + " print(f\"'>>> {text.replace(tokenizer.mask_token, tokenizer.decode([token]))}'\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Y9phPSx428TU" + }, + "source": [ + "# โจทย์วันนี้: เทรน Mask filling บนดาต้าเซ็ตรีวิวหนัง" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 442, + "referenced_widgets": [ + "d0640683c10647d1922e0a4df9b28904", + "ffdb191ac0b941dfa97640143caf50d7", + "35239944f0fb4b0db13075da36534dd8", + "22cd94c129514971927743edec9156d3", + "aa8b99b26cf44ab48450c90f24ebdf96", + "c16713f72e9a43f0bc100160b9394258", + "122d9ac96f3541dd836ab0faa8236744", + "ea30426a4d964e89aa000b976430db81", + "224f69ed56f241d5a57f2ff21856294c", + "e0cc6ec5e3414deda303d7949ccea627", + "fa0855c66ded4ed6a172f96496b3a257", + "b9db18a070404a29ae8a6b7d3b0f2e7d", + "e8b017a388304e9cac1ca750193b4fba", + "f1c970be586c490a8b420ae5fc5846f4", + "8f3a94473d674753a5bb749d512a34d2", + "945bdd6350c84f989a83af9fdbe93de2", + "240e26ef5f404b5493355e2b0de78c51", + "019f9fceafe943bd9cd28606d87ec4ab", + "744347e28666430e8a33d233eab578cf", + "7c7be58db5654645bc598bbf0e9c39f3", + "1a16766548b6469f87ceb6b3b5d78124", + "f4de69dc59364d53882fa10413321f52", + "ffb0798c91eb4374bcb64621bc259932", + "75e11c882c3e403c9a52561c80c8d3e5", + "c913b6fbe8b94b9eb87c212099353297", + "1447d4b70a894e3897940da8afec6313", + "e3844e29243f47d6a9cbdcf0e1b75344", + "e193390bc1a046e684ca8132f1d75e0a", + "1c34845650d44e5fb7a12e625d260c54", + "c325c2416256463287bd67cb0c00b451", + "86532cfab78e48518f269f9eb4bed92b", + "8b2d259ef9e24f68ab98ecbf7901367b", + "65d31f8c1b994bbea18816d7b9600b3d", + "673fc6d0a35f47639b4cf0c259f8ed14", + "ce4dd0dfabb14f6a9744acc654f4d9dc", + "7a8fbd9b1538476483c0a12fd0a4b6a9", + "8da892ffa4314c5da4de967c14bb9784", + "9ea51593129e4c43b4013a9d8dd614d5", + "817d285a2f924105879387b1e6a1a9e2", + "c4115fb0ae664848aed911fd267f6262", + "ebad34f48e4245b897131b47e4e0de2a", + "2cb25198136c44959bd02b4c68545f96", + "3cff00539f9d42a48b7c040151cb2513", + "a5981449efcb4d90820e6d695209dc4a", + "ae2ce0251ed3469cb673beb03a6cd6ec", + "4c080e3576684b9a844c1c38cc3da16c", + "95c0615211204c359267f09857aeaa87", + "1e56b60e80af40a3b2263b8081fafa9e", + "0ce792459edf4301b5cb10eb7fb30983", + "eba01ba727e3472782cdf4b2f34fc8b8", + "637dc44b737346fdbab74d088e152def", + "085a7a10ee6541b3a10e32779acc2497", + "811352972247491e9cd6c258a303dc38", + "3e4eaa35caa94645b6fee02954668a28", + "721d2ed42a0b4d83adb11ff4a5fa3944", + "42c4f498f78744708a4a62da4279db4d", + "322872e905c94c358d4c3e396e97e338", + "7a8e8d7786fa44629addadde810f937c", + "787dde0a5d6644448328b8ad6edc7313", + "01945eebae0c4e768e41dedda98b97b3", + "2bc8df7dbd584ba28f1ca5a8ba9c9b6a", + "01812fbe678542feb930bbabfa22c2c3", + "4139445fbd764952bbc492a31bc50d9f", + "b684256558f94179b32ab61a32735a0d", + "e5f35fe4ba76423cb24051c70ce36ef3", + "7bf45325f21e45adb3dd9928526a4ebb", + "58b8a6b99da64d7b82b709554a6e65d9", + "166b357c384743f8a4f0e20a96992c8a", + "500b0cc9e53b4ba2833b4fb3c682fa3e", + "221aea6d9a2744399480b7ee21ee76b5", + "5c01ee96c88d427bb5d673e7a26a16d8", + "ac05545352d04c7399d4eba6fe6dd50a", + "f3e23c6a293446aba713aeb192d2847d", + "454d7f09ed114f8e8389ca4ea21a0a79", + "dcf496e9753f466cbd504c692f94f665", + "a214bc1444c842138ea2f79c1ae8b9e3", + "4aab47abfcf64badac54824dfd32fae2" + ] + }, + "id": "VhBeqjLPAFzr", + "outputId": "e94dc264-2e66-4acc-e3af-96d64c98ef51" + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d0640683c10647d1922e0a4df9b28904", + "version_major": 2, + "version_minor": 0 }, - "execution_count": 4, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "tensor([[[ -5.5882, -5.5868, -5.5958, ..., -4.9448, -4.8174, -2.9905],\n", - " [-11.9031, -11.8872, -12.0623, ..., -10.9570, -10.6464, -8.6323],\n", - " [-11.9604, -12.1520, -12.1279, ..., -10.0218, -8.6074, -8.0971],\n", - " ...,\n", - " [ -4.8228, -4.6268, -5.1041, ..., -4.2771, -5.0184, -3.9428],\n", - " [-11.2945, -11.2388, -11.3857, ..., -9.2063, -9.3411, -6.1505],\n", - " [ -9.5213, -9.4632, -9.5022, ..., -8.6561, -8.4908, -4.6903]]],\n", - " grad_fn=) torch.Size([1, 8, 30522])\n" - ] - } + "text/plain": [ + "Downloading: 0%| | 0.00/1.79k [00:00)" - ] - }, - "metadata": {}, - "execution_count": 10 - } + "text/plain": [ + "0 examples [00:00, ? examples/s]" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "code", - "source": [ - "top_5_tokens = torch.topk(mask_token_logits, 5, dim=1).indices[0].tolist()\n", - "for token in top_5_tokens:\n", - " print(f\"'>>> {text.replace(tokenizer.mask_token, tokenizer.decode([token]))}'\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "vq3s_IrR_4iW", - "outputId": "764885d9-7e5a-42e7-ebe4-58fa5122a7d6" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "42c4f498f78744708a4a62da4279db4d", + "version_major": 2, + "version_minor": 0 }, - "execution_count": 11, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "'>>> This is a great deal.'\n", - "'>>> This is a great success.'\n", - "'>>> This is a great adventure.'\n", - "'>>> This is a great idea.'\n", - "'>>> This is a great feat.'\n" - ] - } + "text/plain": [ + "0 examples [00:00, ? examples/s]" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "markdown", - "source": [ - "# โจทย์วันนี้: เทรน Mask filling บนดาต้าเซ็ตรีวิวหนัง" - ], - "metadata": { - "id": "Y9phPSx428TU" - } + "name": "stdout", + "output_type": "stream", + "text": [ + "Dataset imdb downloaded and prepared to /root/.cache/huggingface/datasets/imdb/plain_text/1.0.0/2fdd8b9bcadd6e7055e742a706876ba43f19faee861df134affd7a3f60fc38a1. Subsequent calls will reuse this data.\n" + ] }, { - "cell_type": "code", - "source": [ - "from datasets import load_dataset\n", - "\n", - "imdb_dataset = load_dataset(\"imdb\")\n", - "imdb_dataset" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 442, - "referenced_widgets": [ - "d0640683c10647d1922e0a4df9b28904", - "ffdb191ac0b941dfa97640143caf50d7", - "35239944f0fb4b0db13075da36534dd8", - "22cd94c129514971927743edec9156d3", - "aa8b99b26cf44ab48450c90f24ebdf96", - "c16713f72e9a43f0bc100160b9394258", - "122d9ac96f3541dd836ab0faa8236744", - "ea30426a4d964e89aa000b976430db81", - "224f69ed56f241d5a57f2ff21856294c", - "e0cc6ec5e3414deda303d7949ccea627", - "fa0855c66ded4ed6a172f96496b3a257", - "b9db18a070404a29ae8a6b7d3b0f2e7d", - "e8b017a388304e9cac1ca750193b4fba", - "f1c970be586c490a8b420ae5fc5846f4", - "8f3a94473d674753a5bb749d512a34d2", - "945bdd6350c84f989a83af9fdbe93de2", - "240e26ef5f404b5493355e2b0de78c51", - "019f9fceafe943bd9cd28606d87ec4ab", - "744347e28666430e8a33d233eab578cf", - "7c7be58db5654645bc598bbf0e9c39f3", - "1a16766548b6469f87ceb6b3b5d78124", - "f4de69dc59364d53882fa10413321f52", - "ffb0798c91eb4374bcb64621bc259932", - "75e11c882c3e403c9a52561c80c8d3e5", - "c913b6fbe8b94b9eb87c212099353297", - "1447d4b70a894e3897940da8afec6313", - "e3844e29243f47d6a9cbdcf0e1b75344", - "e193390bc1a046e684ca8132f1d75e0a", - "1c34845650d44e5fb7a12e625d260c54", - "c325c2416256463287bd67cb0c00b451", - "86532cfab78e48518f269f9eb4bed92b", - "8b2d259ef9e24f68ab98ecbf7901367b", - "65d31f8c1b994bbea18816d7b9600b3d", - "673fc6d0a35f47639b4cf0c259f8ed14", - "ce4dd0dfabb14f6a9744acc654f4d9dc", - "7a8fbd9b1538476483c0a12fd0a4b6a9", - "8da892ffa4314c5da4de967c14bb9784", - "9ea51593129e4c43b4013a9d8dd614d5", - "817d285a2f924105879387b1e6a1a9e2", - "c4115fb0ae664848aed911fd267f6262", - "ebad34f48e4245b897131b47e4e0de2a", - "2cb25198136c44959bd02b4c68545f96", - "3cff00539f9d42a48b7c040151cb2513", - "a5981449efcb4d90820e6d695209dc4a", - "ae2ce0251ed3469cb673beb03a6cd6ec", - "4c080e3576684b9a844c1c38cc3da16c", - "95c0615211204c359267f09857aeaa87", - "1e56b60e80af40a3b2263b8081fafa9e", - "0ce792459edf4301b5cb10eb7fb30983", - "eba01ba727e3472782cdf4b2f34fc8b8", - "637dc44b737346fdbab74d088e152def", - "085a7a10ee6541b3a10e32779acc2497", - "811352972247491e9cd6c258a303dc38", - "3e4eaa35caa94645b6fee02954668a28", - "721d2ed42a0b4d83adb11ff4a5fa3944", - "42c4f498f78744708a4a62da4279db4d", - "322872e905c94c358d4c3e396e97e338", - "7a8e8d7786fa44629addadde810f937c", - "787dde0a5d6644448328b8ad6edc7313", - "01945eebae0c4e768e41dedda98b97b3", - "2bc8df7dbd584ba28f1ca5a8ba9c9b6a", - "01812fbe678542feb930bbabfa22c2c3", - "4139445fbd764952bbc492a31bc50d9f", - "b684256558f94179b32ab61a32735a0d", - "e5f35fe4ba76423cb24051c70ce36ef3", - "7bf45325f21e45adb3dd9928526a4ebb", - "58b8a6b99da64d7b82b709554a6e65d9", - "166b357c384743f8a4f0e20a96992c8a", - "500b0cc9e53b4ba2833b4fb3c682fa3e", - "221aea6d9a2744399480b7ee21ee76b5", - "5c01ee96c88d427bb5d673e7a26a16d8", - "ac05545352d04c7399d4eba6fe6dd50a", - "f3e23c6a293446aba713aeb192d2847d", - "454d7f09ed114f8e8389ca4ea21a0a79", - "dcf496e9753f466cbd504c692f94f665", - "a214bc1444c842138ea2f79c1ae8b9e3", - "4aab47abfcf64badac54824dfd32fae2" - ] - }, - "id": "VhBeqjLPAFzr", - "outputId": "e94dc264-2e66-4acc-e3af-96d64c98ef51" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "58b8a6b99da64d7b82b709554a6e65d9", + "version_major": 2, + "version_minor": 0 }, - "execution_count": 12, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "Downloading: 0%| | 0.00/1.79k [00:00>> Review: {row['text']}'\")\n", - " print(f\"'>>> Label: {row['label']}'\") # 0 = negative, 1 = positive" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "KW_lcQhbAJb_", - "outputId": "7d3bee09-7615-4e77-f97b-3e91a5164815" + "data": { + "text/plain": [ + "DatasetDict({\n", + " train: Dataset({\n", + " features: ['text', 'label'],\n", + " num_rows: 25000\n", + " })\n", + " test: Dataset({\n", + " features: ['text', 'label'],\n", + " num_rows: 25000\n", + " })\n", + " unsupervised: Dataset({\n", + " features: ['text', 'label'],\n", + " num_rows: 50000\n", + " })\n", + "})" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from datasets import load_dataset\n", + "\n", + "imdb_dataset = load_dataset(\"imdb\")\n", + "imdb_dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "KW_lcQhbAJb_", + "outputId": "7d3bee09-7615-4e77-f97b-3e91a5164815" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "'>>> Review: There is no relation at all between Fortier and Profiler but the fact that both are police series about violent crimes. Profiler looks crispy, Fortier looks classic. Profiler plots are quite simple. Fortier's plot are far more complicated... Fortier looks more like Prime Suspect, if we have to spot similarities... The main character is weak and weirdo, but have \"clairvoyance\". People like to compare, to judge, to evaluate. How about just enjoying? Funny thing too, people writing Fortier looks American but, on the other hand, arguing they prefer American series (!!!). Maybe it's the language, or the spirit, but I think this series is more English than American. By the way, the actors are really good and funny. The acting is not superficial at all...'\n", + "'>>> Label: 1'\n", + "\n", + "'>>> Review: This movie is a great. The plot is very true to the book which is a classic written by Mark Twain. The movie starts of with a scene where Hank sings a song with a bunch of kids called \"when you stub your toe on the moon\" It reminds me of Sinatra's song High Hopes, it is fun and inspirational. The Music is great throughout and my favorite song is sung by the King, Hank (bing Crosby) and Sir \"Saggy\" Sagamore. OVerall a great family movie or even a great Date movie. This is a movie you can watch over and over again. The princess played by Rhonda Fleming is gorgeous. I love this movie!! If you liked Danny Kaye in the Court Jester then you will definitely like this movie.'\n", + "'>>> Label: 1'\n", + "\n", + "'>>> Review: George P. Cosmatos' \"Rambo: First Blood Part II\" is pure wish-fulfillment. The United States clearly didn't win the war in Vietnam. They caused damage to this country beyond the imaginable and this movie continues the fairy story of the oh-so innocent soldiers. The only bad guys were the leaders of the nation, who made this war happen. The character of Rambo is perfect to notice this. He is extremely patriotic, bemoans that US-Americans didn't appreciate and celebrate the achievements of the single soldier, but has nothing but distrust for leading officers and politicians. Like every film that defends the war (e.g. \"We Were Soldiers\") also this one avoids the need to give a comprehensible reason for the engagement in South Asia. And for that matter also the reason for every single US-American soldier that was there. Instead, Rambo gets to take revenge for the wounds of a whole nation. It would have been better to work on how to deal with the memories, rather than suppressing them. \"Do we get to win this time?\" Yes, you do.'\n", + "'>>> Label: 0'\n" + ] + } + ], + "source": [ + "sample = imdb_dataset[\"train\"].shuffle(seed=42).select(range(3))\n", + "\n", + "for row in sample:\n", + " print(f\"\\n'>>> Review: {row['text']}'\")\n", + " print(f\"'>>> Label: {row['label']}'\") # 0 = negative, 1 = positive" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 374, + "referenced_widgets": [ + "11e91c89ae684f359979b91b981a0295", + "7d4191e894814c06ae89b5d0e27131aa", + "d5a5ef0a345d48aca8feb37bd15ade7b", + "e66f9f94b10e499096377aa347165c8b", + "9cef5a5a202c43f6b54fa0370ac51916", + "d123f8dad2b24ccca3fcf9d1daebf78b", + "e30ad763376246f197f64f5ef5829a44", + "3bc5bb3028ec4f7eb511738ca0ce0961", + "9b69dcc618224c2da81785988a9b2a9b", + "f5b513a2eae54b60a7c395cf04a61237", + "3be24e5c5e6f4131a52df4d117433026", + "b9e78a10d438469bbc27dd84303edfe0", + "997d239464354b148f42365014fead3d", + "b1bb4ceb58f94f8595348d620e7507a4", + "f13abd339dc449698e4e386667c33d72", + "25257bf057f7427da1e4988a1c2394ed", + "f3da21b271494daea6761f67f4a68628", + "a530dab2555147dcbcc1006c9baad29c", + "a1a307bf8cc0431dbb379f90f7bb5fb3", + "8c0b58dfc98048e0b99a205e0b4c4d21", + "f865a68671d74d10bbced7c4057f56a5", + "0b129b6b6cad4931bebe08a555196ee7", + "7012f72b431b4d5a9aa17ab0e7cbe82a", + "f446d58a121245fa916c20001182e311", + "4cacf9062b8a411eb3c4f06117866b2d", + "84a61ceae0a941ae97d57c170647ceec", + "e3a0a249c1fc4a4ba002bbd77cff6979", + "64c6fadcd96d4c7e87e549eac570dd45", + "05e4e2a9d2e945ec8e95868b6989f8b6", + "e969d99a76c948fe8dab78a5200c7ab9", + "5896ec00bbcf413bb54614c262736e63", + "ad60a7b468874f69a6c1750e9083b4f2", + "d9b7d263951b42449c9602d4bb716d89" + ] + }, + "id": "sJHAuQYIALuv", + "outputId": "e60fa518-e78e-4c37-fae1-e0bedba192e2" + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "11e91c89ae684f359979b91b981a0295", + "version_major": 2, + "version_minor": 0 }, - "execution_count": 13, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "'>>> Review: There is no relation at all between Fortier and Profiler but the fact that both are police series about violent crimes. Profiler looks crispy, Fortier looks classic. Profiler plots are quite simple. Fortier's plot are far more complicated... Fortier looks more like Prime Suspect, if we have to spot similarities... The main character is weak and weirdo, but have \"clairvoyance\". People like to compare, to judge, to evaluate. How about just enjoying? Funny thing too, people writing Fortier looks American but, on the other hand, arguing they prefer American series (!!!). Maybe it's the language, or the spirit, but I think this series is more English than American. By the way, the actors are really good and funny. The acting is not superficial at all...'\n", - "'>>> Label: 1'\n", - "\n", - "'>>> Review: This movie is a great. The plot is very true to the book which is a classic written by Mark Twain. The movie starts of with a scene where Hank sings a song with a bunch of kids called \"when you stub your toe on the moon\" It reminds me of Sinatra's song High Hopes, it is fun and inspirational. The Music is great throughout and my favorite song is sung by the King, Hank (bing Crosby) and Sir \"Saggy\" Sagamore. OVerall a great family movie or even a great Date movie. This is a movie you can watch over and over again. The princess played by Rhonda Fleming is gorgeous. I love this movie!! If you liked Danny Kaye in the Court Jester then you will definitely like this movie.'\n", - "'>>> Label: 1'\n", - "\n", - "'>>> Review: George P. Cosmatos' \"Rambo: First Blood Part II\" is pure wish-fulfillment. The United States clearly didn't win the war in Vietnam. They caused damage to this country beyond the imaginable and this movie continues the fairy story of the oh-so innocent soldiers. The only bad guys were the leaders of the nation, who made this war happen. The character of Rambo is perfect to notice this. He is extremely patriotic, bemoans that US-Americans didn't appreciate and celebrate the achievements of the single soldier, but has nothing but distrust for leading officers and politicians. Like every film that defends the war (e.g. \"We Were Soldiers\") also this one avoids the need to give a comprehensible reason for the engagement in South Asia. And for that matter also the reason for every single US-American soldier that was there. Instead, Rambo gets to take revenge for the wounds of a whole nation. It would have been better to work on how to deal with the memories, rather than suppressing them. \"Do we get to win this time?\" Yes, you do.'\n", - "'>>> Label: 0'\n" - ] - } + "text/plain": [ + " 0%| | 0/25 [00:00 512). Running this sequence through the model will result in indexing errors\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b9e78a10d438469bbc27dd84303edfe0", + "version_major": 2, + "version_minor": 0 }, - "execution_count": 14, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - " 0%| | 0/25 [00:00 512). Running this sequence through the model will result in indexing errors\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - " 0%| | 0/25 [00:00>> Review 0 length: 363'\n", + "'>>> Review 1 length: 304'\n", + "'>>> Review 2 length: 133'\n" + ] + } + ], + "source": [ + "tokenized_samples = tokenized_datasets[\"train\"][:3]\n", + "\n", + "for idx, sample in enumerate(tokenized_samples[\"input_ids\"]):\n", + " print(f\"'>>> Review {idx} length: {len(sample)}'\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "M2ZGYPbl2_nF" + }, + "source": [ + "Review 0 + Review 1 + Review 2" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "1uCUrB6T2zM5", + "outputId": "147d9ab7-a4dd-4dac-d6f1-b763a90f89da" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['attention_mask', 'input_ids', 'word_ids'])" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tokenized_samples.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "wWBbAAS1AefJ", + "outputId": "8cbd974a-81a0-46ba-c22d-0fc958d7c3ed" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'>>> Concatenated reviews length: 800'\n" + ] + } + ], + "source": [ + "concatenated_examples = {\n", + " k: sum(tokenized_samples[k], []) for k in tokenized_samples.keys()\n", + "}\n", + "total_length = len(concatenated_examples[\"input_ids\"])\n", + "print(f\"'>>> Concatenated reviews length: {total_length}'\") # แต่จะเห็นได้ว่าจริงๆแล้ว input จะเกินกว่า 800 คำ" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "sED3zXyB4FF1" + }, + "source": [ + "# ถ้าเจอ input ที่เกินจะทำยังไงดี?\n", + "= แบ่งเป็น ก้อน (chunk) สิ!" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Rd7LfcK8AVXc", + "outputId": "4577b19f-b9a9-48b0-99a7-9630c7a94b9b" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'>>> Chunk length: 128'\n", + "'>>> Chunk length: 128'\n", + "'>>> Chunk length: 128'\n", + "'>>> Chunk length: 128'\n", + "'>>> Chunk length: 128'\n", + "'>>> Chunk length: 128'\n", + "'>>> Chunk length: 32'\n" + ] + } + ], + "source": [ + "chunk_size = 128\n", + "chunks = {\n", + " k: [t[i : i + chunk_size] for i in range(0, total_length, chunk_size)]\n", + " for k, t in concatenated_examples.items()\n", + "}\n", + "\n", + "for chunk in chunks[\"input_ids\"]:\n", + " print(f\"'>>> Chunk length: {len(chunk)}'\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Z88zkfyuApxz" + }, + "source": [ + "# เทคนิคพิเศษ\n", + "= ปกติการแบ่งเป็นก้อนๆมักจะมีเศษอยู่ที่ก้อนสุดท้าย (จากตัวอย่างจะเหลือแค่ 32 คำ จาก 128 คำ) โดยเราจะเก็บไว้ก็ได้ (แต่ต้องไป padding ซึ่งออกจะยุ่งยาก) เพียงแค่ในบางตัวอย่างมันอาจจะเหลือแค่คำสองคำ ทำให้ไม่เหลือข้อมูลอะไรให้โมเดลได้เรียนรู้มากนัก ทำให้คนจึงนิยมที่จะตัดออก" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "id": "k7Gj83sYAleH" + }, + "outputs": [], + "source": [ + "def group_texts(examples):\n", + " # Group ข้อความทั้งหมด\n", + " concatenated_examples = {k: sum(examples[k], []) for k in examples.keys()}\n", + " # วัดความยาวทั้งหมด\n", + " total_length = len(concatenated_examples[list(examples.keys())[0]])\n", + " # เราจะเลือก chunk 1 จน ถึงอันก่อนสุด (ถ้า chunk สุดท้ายเล็กกว่าที่กำหนดไว้)\n", + " total_length = (total_length // chunk_size) * chunk_size\n", + " # แบ่ง Chunk\n", + " result = {\n", + " k: [t[i : i + chunk_size] for i in range(0, total_length, chunk_size)]\n", + " for k, t in concatenated_examples.items()\n", + " }\n", + " # สร้าง Labels\n", + " result[\"labels\"] = result[\"input_ids\"].copy()\n", + " return result" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 356, + "referenced_widgets": [ + "314dd1b4c4234530a2a671a24f144d8b", + "c1c74866043a456eafa423eff0214959", + "e47ae445ba084fdab916ff3d8ee71f74", + "8027bdb044d94764955b8264a48950c3", + "c23a508cf68d45c38ce4ccd065b28de4", + "1cb102c8efec409e80741f6066fec2e1", + "bdf4fc84d86c49dc8e24b133534dd4ff", + "98b27562c12a4c7180553675ba6cb515", + "16ed1de7a12142ac889929203cbe4a85", + "d72d15798ba74ac2a2f548b19d927106", + "b16fc1589f1247948ac1ba21e46549ec", + "232e87769d484077b74a36545de47bef", + "99824c3497b24ba98cf43c960a6f2383", + "d0854d4efec248c2b192cf256e1437f5", + "c450fa117d364a05aebfd923a7b605a1", + "ff1d11edf3794767abb2503e4325c54c", + "b831b7df8ee6437186b81bf176e0b127", + "8393a349cb4a46de81ccf38c0000cced", + "3455101a66d7408db759d18528d1136d", + "57d6a96950084d9c85e80116d719d091", + "30ef4a29299a40aeb26171ffe4f56dc3", + "b425edae66e349e0be36e3726ea77e2f", + "ca3070e5bd1c4d01ab81de3538291950", + "53e94e9cf3ad4faea515a42c37ab0b68", + "b74a7292cd6e4f7ca617e398b618dd78", + "5ab180011afa401f92bdd2b88d86bc96", + "4f79e3564fce41b7a3be58826d966daf", + "1ec764f599ae462e8abd5f4fd8d8f3d3", + "8acfd6c28a0340368bcbb80374096eff", + "acab58363acb415e84a2fa4f926df559", + "820e978c3076478db9a3ad1e3a3cf9e8", + "780192fdf7aa4b8aac8fee79f6ac93b7", + "2352504291b34f2e82746b4b1d6bc31a" + ] + }, + "id": "_34BZpYlA1YM", + "outputId": "4f71972c-5c05-4897-df71-0fd5311abde9" + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "314dd1b4c4234530a2a671a24f144d8b", + "version_major": 2, + "version_minor": 0 }, - "execution_count": 16, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "512" - ] - }, - "metadata": {}, - "execution_count": 16 - } + "text/plain": [ + " 0%| | 0/25 [00:00>> Review {idx} length: {len(sample)}'\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "TetsQoFJAcE_", - "outputId": "07b418e8-2d57-44ca-8491-cd7fc263080e" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "232e87769d484077b74a36545de47bef", + "version_major": 2, + "version_minor": 0 }, - "execution_count": 15, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "'>>> Review 0 length: 363'\n", - "'>>> Review 1 length: 304'\n", - "'>>> Review 2 length: 133'\n" - ] - } + "text/plain": [ + " 0%| | 0/25 [00:00 < br / > what kills me about i am curious - yellow is that 40 years ago, this was considered pornographic. really, the sex and nudity scenes are few and far between, even then it's not shot like some cheaply made porno. while my countrymen mind find it shocking, in reality sex and nudity are a major staple in swedish cinema. even ingmar bergman,\"" ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tokenizer.decode(lm_datasets[\"train\"][1][\"labels\"]) # ต้นฉบับ" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 107 }, + "id": "9WJnTBcdBI-J", + "outputId": "1589d361-49c6-44c5-8294-fdd96ed00576" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "concatenated_examples = {\n", - " k: sum(tokenized_samples[k], []) for k in tokenized_samples.keys()\n", - "}\n", - "total_length = len(concatenated_examples[\"input_ids\"])\n", - "print(f\"'>>> Concatenated reviews length: {total_length}'\") # แต่จะเห็นได้ว่าจริงๆแล้ว input จะเกินกว่า 800 คำ" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "wWBbAAS1AefJ", - "outputId": "8cbd974a-81a0-46ba-c22d-0fc958d7c3ed" + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" }, - "execution_count": 18, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "'>>> Concatenated reviews length: 800'\n" - ] - } + "text/plain": [ + "\"as the vietnam war and race issues in the united states. in between asking politicians and ordinary denizens of stockholm about their opinions on politics, she has sex with her drama teacher, classmates, and married men. < br / > < br / > what kills me about i am curious - yellow is that 40 years ago, this was considered pornographic. really, the sex and nudity scenes are few and far between, even then it's not shot like some cheaply made porno. while my countrymen mind find it shocking, in reality sex and nudity are a major staple in swedish cinema. even ingmar bergman,\"" ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tokenizer.decode(lm_datasets[\"train\"][1][\"input_ids\"]) # อันที่เราอยากจะเติมคำ แต่เราต้องแอด MLM เข้าไปก่อน!!" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "oOhhq5HRBJb3" + }, + "source": [ + "แทนที่คำที่เราอยากให้โมเดลทำนายด้วย [MASK]" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "id": "PDcRQwYFBGoR" + }, + "outputs": [], + "source": [ + "from transformers import DataCollatorForLanguageModeling\n", + "\n", + "data_collator = DataCollatorForLanguageModeling(tokenizer=tokenizer, mlm_probability=0.15) # ใน 1 ประโยค จะให้ทำนายคำแค่ 15% ของทั้งหมด" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "33tEgA56BOyv", + "outputId": "d0ef8381-c0ea-41a4-ef30-419bc929fd34" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# ถ้าเจอ input ที่เกินจะทำยังไงดี?\n", - "= แบ่งเป็น ก้อน (chunk) สิ!" - ], - "metadata": { - "id": "sED3zXyB4FF1" - } + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "'>>> [CLS] i rented i am curious - yellow from my [MASK] store [MASK] of all the controversy that surrounded it when it was first released in 1967. [MASK] also [MASK] that at first it was [MASK] by u. s. customs if it ever tried to enter this country, therefore being anco of films considered \" controversial \" i really had [MASK] see this for myself. < br / [MASK] < br / > the plot is centered around a young [MASK] drama student named lena who wants to learn everything she can about life. in [MASK] she wants to focus her attentions to making some [MASK] of documentary on what the average swede thought about certain political issues such'\n", + "\n", + "'>>> as the vietnam war and [MASK] issues in the [MASK] states. in between asking politicians and ordinary denizens of stockholm about their [MASK] on [MASK], [MASK] has sex with her drama teacher, classmates, and married men. creating br / > [MASK] br / > what kills me about i am [MASK] [MASK] yellow is that 40 years ago, this was considered pornographic. really, the sex and nudity scenes are few and far between, even then [MASK]'s not shot like some cheaply made porno. while my [MASK]men mind find it shocking, in reality sex and nudity are a major staple in swedish [MASK] biography even ingmar [MASK],'\n" + ] + } + ], + "source": [ + "samples = [lm_datasets[\"train\"][i] for i in range(2)]\n", + "for sample in samples:\n", + " _ = sample.pop(\"word_ids\")\n", + "\n", + "for chunk in data_collator(samples)[\"input_ids\"]:\n", + " print(f\"\\n'>>> {tokenizer.decode(chunk)}'\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "MK4xU6zuBjAT" + }, + "source": [ + "แต่ปัญหาตอนนี้คือตอนที่เราแทนคำด้วย [MASK] มันดันแทนแค่คำย่อยของคำนั้นๆ(sub-word)ไม่ได้แทนทั้งหมดเช่น \"bromwell => [MASK]mwell\". \n", + "เพราะฉนั้นเราจะต้องทำในสิ่งที่เรียกว่า \"whole-word-mask\"" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "id": "M9srLU9VBYgn" + }, + "outputs": [], + "source": [ + "import collections\n", + "import numpy as np\n", + "\n", + "from transformers import default_data_collator\n", + "\n", + "wwm_probability = 0.2\n", + "\n", + "\n", + "def whole_word_masking_data_collator(features):\n", + " for feature in features:\n", + " word_ids = feature.pop(\"word_ids\")\n", + "\n", + " # Create a map between words and corresponding token indices\n", + " mapping = collections.defaultdict(list)\n", + " current_word_index = -1\n", + " current_word = None\n", + " for idx, word_id in enumerate(word_ids):\n", + " if word_id is not None:\n", + " if word_id != current_word:\n", + " current_word = word_id\n", + " current_word_index += 1\n", + " mapping[current_word_index].append(idx)\n", + "\n", + " # Randomly mask words\n", + " mask = np.random.binomial(1, wwm_probability, (len(mapping),))\n", + " input_ids = feature[\"input_ids\"]\n", + " labels = feature[\"labels\"]\n", + " new_labels = [-100] * len(labels)\n", + " for word_id in np.where(mask)[0]:\n", + " word_id = word_id.item()\n", + " for idx in mapping[word_id]:\n", + " new_labels[idx] = labels[idx]\n", + " input_ids[idx] = tokenizer.mask_token_id\n", + "\n", + " return default_data_collator(features)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "17hulOsSBiJ2", + "outputId": "9472799a-cd0e-4040-d4d8-ca8df3abe5f2" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "chunk_size = 128\n", - "chunks = {\n", - " k: [t[i : i + chunk_size] for i in range(0, total_length, chunk_size)]\n", - " for k, t in concatenated_examples.items()\n", - "}\n", - "\n", - "for chunk in chunks[\"input_ids\"]:\n", - " print(f\"'>>> Chunk length: {len(chunk)}'\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Rd7LfcK8AVXc", - "outputId": "4577b19f-b9a9-48b0-99a7-9630c7a94b9b" - }, - "execution_count": 19, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "'>>> Chunk length: 128'\n", - "'>>> Chunk length: 128'\n", - "'>>> Chunk length: 128'\n", - "'>>> Chunk length: 128'\n", - "'>>> Chunk length: 128'\n", - "'>>> Chunk length: 128'\n", - "'>>> Chunk length: 32'\n" - ] - } + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "'>>> ('[CLS] i rented i am curious - yellow from my video store because [MASK] all the controversy that [MASK] it [MASK] it was [MASK] [MASK] in [MASK] [MASK] i also heard [MASK] at [MASK] it [MASK] seized by u [MASK] [MASK]. customs [MASK] it ever tried [MASK] enter this country, therefore being a [MASK] of films [MASK] [MASK] controversial \" i [MASK] had [MASK] see this [MASK] myself. [MASK] br / > < br / [MASK] the plot [MASK] centered [MASK] a young swedish drama [MASK] named lena who [MASK] [MASK] learn everything she can about life [MASK] in particular she wants to focus her attentions [MASK] making some sort of documentary on what [MASK] average swede thought about certain political issues such', 128)'\n", + "\n", + "'>>> (\"as [MASK] [MASK] war and race [MASK] [MASK] the united states [MASK] in between asking politicians and [MASK] denizens of stockholm about their opinions on politics, she has sex with [MASK] [MASK] teacher [MASK] classmates, and married [MASK] [MASK] < br / > < br / > what kills me about [MASK] am curious - yellow [MASK] [MASK] 40 years [MASK] [MASK] [MASK] [MASK] considered [MASK]. really, the sex and nudity [MASK] are [MASK] and far between [MASK] even [MASK] it'[MASK] not shot like [MASK] cheaply [MASK] porno. [MASK] my countrymen mind find it shocking, in [MASK] sex and nudity are a major staple in swedish cinema. [MASK] [MASK] [MASK] [MASK],\", 128)'\n" + ] + } + ], + "source": [ + "samples = [lm_datasets[\"train\"][i] for i in range(2)]\n", + "batch = whole_word_masking_data_collator(samples)\n", + "\n", + "for chunk in batch[\"input_ids\"]:\n", + " print(f\"\\n'>>> {tokenizer.decode(chunk),len(chunk)}'\") # หมดปัญหา" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "w1tg-3dt5V9Q", + "outputId": "c14b4e50-3781-4bd2-c04d-a5c8c5cbf99b" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "DatasetDict({\n", + " train: Dataset({\n", + " features: ['attention_mask', 'input_ids', 'labels', 'word_ids'],\n", + " num_rows: 61291\n", + " })\n", + " test: Dataset({\n", + " features: ['attention_mask', 'input_ids', 'labels', 'word_ids'],\n", + " num_rows: 59904\n", + " })\n", + " unsupervised: Dataset({\n", + " features: ['attention_mask', 'input_ids', 'labels', 'word_ids'],\n", + " num_rows: 122957\n", + " })\n", + "})" ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lm_datasets # 61k ...." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "ypfLXrn4C_UN", + "outputId": "fe1e3c7c-3cd7-4c0f-f02a-faa9e9ded754" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# เทคนิคพิเศษ\n", - "= ปกติการแบ่งเป็นก้อนๆมักจะมีเศษอยู่ที่ก้อนสุดท้าย (จากตัวอย่างจะเหลือแค่ 32 คำ จาก 128 คำ) โดยเราจะเก็บไว้ก็ได้ (แต่ต้องไป padding ซึ่งออกจะยุ่งยาก) เพียงแค่ในบางตัวอย่างมันอาจจะเหลือแค่คำสองคำ ทำให้ไม่เหลือข้อมูลอะไรให้โมเดลได้เรียนรู้มากนัก ทำให้คนจึงนิยมที่จะตัดออก" - ], - "metadata": { - "id": "Z88zkfyuApxz" - } + "data": { + "text/plain": [ + "DatasetDict({\n", + " train: Dataset({\n", + " features: ['attention_mask', 'input_ids', 'labels', 'word_ids'],\n", + " num_rows: 10000\n", + " })\n", + " test: Dataset({\n", + " features: ['attention_mask', 'input_ids', 'labels', 'word_ids'],\n", + " num_rows: 1000\n", + " })\n", + "})" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_size = 10_000\n", + "test_size = int(0.1 * train_size)\n", + "\n", + "downsampled_dataset = lm_datasets[\"train\"].train_test_split(\n", + " train_size=train_size, test_size=test_size, seed=42\n", + ")\n", + "downsampled_dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 387, + "referenced_widgets": [ + "0601f991805e43f68101d0047446b2d4", + "181598533da74d8387cf0d0bd5073403", + "e7a8a02040af48aa876ee845f301e7b1", + "a596d8672c1340648cd2d5af04702e9a", + "07c737cc7ec14390a0490b9d7f8e6bae", + "ce350edd1a4144daa19b4f4f750ecd99", + "b7a2b397f00a40dc815c4467b41f12bf", + "bbad97acdf1249c4a0fbfe97f10f55ed", + "4f85a5eb7a3e43a69d9ec0d63b0375b1", + "f02498c447ae4e40a3ddf61fd8b1134f", + "7c2d75c758b1482eba8b69b38a6f45ec", + "6fc49828d6394875a4a3bc3f1d86a020", + "ba2f28ce250749daa828ea2bab25e93d", + "3c5b5d391598406f9edcb731123941bf", + "2ad2b0da3af1421082443701907985b5", + "042d9de05f064d819d943ab019fba36f", + "d2201000bbe74fc29318caa25a85c66e" + ] }, + "id": "ZW6IR4l5XVor", + "outputId": "2f32123a-7907-42b5-ac9c-c04c74fa5df7" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "def group_texts(examples):\n", - " # Group ข้อความทั้งหมด\n", - " concatenated_examples = {k: sum(examples[k], []) for k in examples.keys()}\n", - " # วัดความยาวทั้งหมด\n", - " total_length = len(concatenated_examples[list(examples.keys())[0]])\n", - " # เราจะเลือก chunk 1 จน ถึงอันก่อนสุด (ถ้า chunk สุดท้ายเล็กกว่าที่กำหนดไว้)\n", - " total_length = (total_length // chunk_size) * chunk_size\n", - " # แบ่ง Chunk\n", - " result = {\n", - " k: [t[i : i + chunk_size] for i in range(0, total_length, chunk_size)]\n", - " for k, t in concatenated_examples.items()\n", - " }\n", - " # สร้าง Labels\n", - " result[\"labels\"] = result[\"input_ids\"].copy()\n", - " return result" - ], - "metadata": { - "id": "k7Gj83sYAleH" - }, - "execution_count": 20, - "outputs": [] + "name": "stdout", + "output_type": "stream", + "text": [ + "Login successful\n", + "Your token has been saved to /root/.huggingface/token\n", + "\u001b[1m\u001b[31mAuthenticated through git-credential store but this isn't the helper defined on your machine.\n", + "You might have to re-authenticate when pushing to the Hugging Face Hub. Run the following command in your terminal in case you want to set this credential helper as the default\n", + "\n", + "git config --global credential.helper store\u001b[0m\n" + ] + } + ], + "source": [ + "from huggingface_hub import notebook_login\n", + "\n", + "notebook_login() # เอาไว้โยนโมเดลขึ้น hugging face ได้เลย" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "id": "9qlilX1xDePR" + }, + "outputs": [], + "source": [ + "from transformers import TrainingArguments\n", + "\n", + "batch_size = 64\n", + "# Show the training loss with every epoch\n", + "logging_steps = len(downsampled_dataset[\"train\"]) // batch_size\n", + "model_name = model_checkpoint.split(\"/\")[-1]\n", + "\n", + "training_args = TrainingArguments(\n", + " output_dir=f\"{model_name}-finetuned-imdb\",\n", + " overwrite_output_dir=True,\n", + " evaluation_strategy=\"epoch\",\n", + " learning_rate=2e-5,\n", + " weight_decay=0.01,\n", + " per_device_train_batch_size=batch_size,\n", + " per_device_eval_batch_size=batch_size,\n", + " push_to_hub=True,\n", + " fp16=True, # สำหรับคนใช้ GPU\n", + " logging_steps=logging_steps,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 436, + "referenced_widgets": [ + "90a9a4f571ab4161a20419763d23da46", + "9720869a36f440a2b0f22dd87388fc07", + "1ce7217de615462bb827b26db3ea72b2", + "f54434534a7c4193a9a6f4f970068338", + "98dff38af0384f27847c8844100a7b74", + "59ea6e0700534090b1b4be549036fe63", + "43cc9a3a82594599a3b463fe5da1169e", + "b08ad8cd82834c5f86ae32e7b7c0f7b4", + "2af8c1b15d514621977bc0d16dd113b7", + "e97394f9e66346bfb3a7913bcc6b34d0", + "c0d8346c976745829247e8f9833b1b59", + "a6a6b059a4b14cdab82f21a570b8f056", + "d5f603b40c714d589f47908297a9f2b1", + "76ea6d6347844ef5abcfca0677afae30", + "a8c072596ddf441ea6baf0e4a479e068", + "f1c83578ce604f1dba9c9647af43e062", + "efa927abad744713821fd562113946db", + "088ca836bbdd4b8daf76766f3e9ed8af", + "4a4062a6fccb4b8a9bbd05eeac3286c3", + "2c75e5f7f621471c8a64d2ee097a3f7c", + "c44f1fa020184dec9611b698429ae901", + "b90c9e11cd9647c48d496cfba43f6989", + "62495e1d12d54a9ea56697affa396410", + "6247eb78e3a64876b7d3f213f82ba470", + "860501e6cd4440c7914733049d4eab39", + "e72865085c27455ab2a4d0e51a383bb6", + "98350e1864cc41d19efd9289a0fb0aa7", + "5d689e41baf942d085ad1dc54bc0811f", + "8b76c44781f7494fb607a042befcf068", + "7e4ac59b360d46aebb4096b40d09a273", + "25ad4342d7db4718add971058e5ec83d", + "acbe01ba8d7d44c2beb3d0c8c44ab883", + "8260ffe75bf94ec08d07b0b8a9ea5e26", + "32fb91d7d88d4cbc89c2f29d95ba3a32", + "49e210d8f8334d16984b08c0669acb53", + "27080804bdf94a74a3a07940a9fc8352", + "6fb6799adfc74ac1aa36bce37a0e542c", + "f4503b02c85240b085109d7ce6281d69", + "1199bff781ea4180951dba524ff9b98c", + "3c2bb4c8bdd04990b2c9bc73a42a6a4b", + "82eb9dfd0d764b919eb853fededed5c2", + "c059e5a2d544445a9084d13c5e8f738e", + "9b4a431e1c7a4dddac13198f6a551ee1", + 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"1cb102c8efec409e80741f6066fec2e1", - "bdf4fc84d86c49dc8e24b133534dd4ff", - "98b27562c12a4c7180553675ba6cb515", - "16ed1de7a12142ac889929203cbe4a85", - "d72d15798ba74ac2a2f548b19d927106", - "b16fc1589f1247948ac1ba21e46549ec", - "232e87769d484077b74a36545de47bef", - "99824c3497b24ba98cf43c960a6f2383", - "d0854d4efec248c2b192cf256e1437f5", - "c450fa117d364a05aebfd923a7b605a1", - "ff1d11edf3794767abb2503e4325c54c", - "b831b7df8ee6437186b81bf176e0b127", - "8393a349cb4a46de81ccf38c0000cced", - "3455101a66d7408db759d18528d1136d", - "57d6a96950084d9c85e80116d719d091", - "30ef4a29299a40aeb26171ffe4f56dc3", - "b425edae66e349e0be36e3726ea77e2f", - "ca3070e5bd1c4d01ab81de3538291950", - "53e94e9cf3ad4faea515a42c37ab0b68", - "b74a7292cd6e4f7ca617e398b618dd78", - "5ab180011afa401f92bdd2b88d86bc96", - "4f79e3564fce41b7a3be58826d966daf", - "1ec764f599ae462e8abd5f4fd8d8f3d3", - "8acfd6c28a0340368bcbb80374096eff", - "acab58363acb415e84a2fa4f926df559", - "820e978c3076478db9a3ad1e3a3cf9e8", - "780192fdf7aa4b8aac8fee79f6ac93b7", - "2352504291b34f2e82746b4b1d6bc31a" - ] - }, - "id": "_34BZpYlA1YM", - "outputId": "4f71972c-5c05-4897-df71-0fd5311abde9" + "name": "stderr", + "output_type": "stream", + "text": [ + "Cloning https://huggingface.co/mrp/distilbert-base-uncased-finetuned-imdb into local empty directory.\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "90a9a4f571ab4161a20419763d23da46", + "version_major": 2, + "version_minor": 0 }, - "execution_count": 21, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - " 0%| | 0/25 [00:00 < br / > what kills me about i am curious - yellow is that 40 years ago, this was considered pornographic. really, the sex and nudity scenes are few and far between, even then it's not shot like some cheaply made porno. while my countrymen mind find it shocking, in reality sex and nudity are a major staple in swedish cinema. even ingmar bergman,\"" - ], - "application/vnd.google.colaboratory.intrinsic+json": { - "type": "string" - } - }, - "metadata": {}, - "execution_count": 41 - } + "text/plain": [ + "Download file training_args.bin: 100%|##########| 2.92k/2.92k [00:00 < br / > what kills me about i am curious - yellow is that 40 years ago, this was considered pornographic. really, the sex and nudity scenes are few and far between, even then it's not shot like some cheaply made porno. while my countrymen mind find it shocking, in reality sex and nudity are a major staple in swedish cinema. even ingmar bergman,\"" - ], - "application/vnd.google.colaboratory.intrinsic+json": { - "type": "string" - } - }, - "metadata": {}, - "execution_count": 42 - } + "text/plain": [ + "Download file runs/Jan19_08-04-53_ff8fe0df0c19/events.out.tfevents.1642579623.ff8fe0df0c19.76.4: 70%|####### …" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "markdown", - "source": [ - "แทนที่คำที่เราอยากให้โมเดลทำนายด้วย [MASK]" - ], - "metadata": { - "id": "oOhhq5HRBJb3" - } + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "32fb91d7d88d4cbc89c2f29d95ba3a32", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Download file runs/Jan19_08-04-53_ff8fe0df0c19/events.out.tfevents.1642579562.ff8fe0df0c19.76.3: 100%|########…" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "code", - "source": [ - "from transformers import DataCollatorForLanguageModeling\n", - "\n", - "data_collator = DataCollatorForLanguageModeling(tokenizer=tokenizer, mlm_probability=0.15) # ใน 1 ประโยค จะให้ทำนายคำแค่ 15% ของทั้งหมด" - ], - "metadata": { - "id": "PDcRQwYFBGoR" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "59aad9e7fd574c7695293c0bdc87c472", + "version_major": 2, + "version_minor": 0 }, - "execution_count": 22, - "outputs": [] + "text/plain": [ + "Download file runs/Jan19_08-04-53_ff8fe0df0c19/1642579627.893799/events.out.tfevents.1642579627.ff8fe0df0c19.7…" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "code", - "source": [ - "samples = [lm_datasets[\"train\"][i] for i in range(2)]\n", - "for sample in samples:\n", - " _ = sample.pop(\"word_ids\")\n", - "\n", - "for chunk in data_collator(samples)[\"input_ids\"]:\n", - " print(f\"\\n'>>> {tokenizer.decode(chunk)}'\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "33tEgA56BOyv", - "outputId": "d0ef8381-c0ea-41a4-ef30-419bc929fd34" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c35c4771b68f4622bc1873768b86ab3d", + "version_major": 2, + "version_minor": 0 }, - "execution_count": 23, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "'>>> [CLS] i rented i am curious - yellow from my [MASK] store [MASK] of all the controversy that surrounded it when it was first released in 1967. [MASK] also [MASK] that at first it was [MASK] by u. s. customs if it ever tried to enter this country, therefore being anco of films considered \" controversial \" i really had [MASK] see this for myself. < br / [MASK] < br / > the plot is centered around a young [MASK] drama student named lena who wants to learn everything she can about life. in [MASK] she wants to focus her attentions to making some [MASK] of documentary on what the average swede thought about certain political issues such'\n", - "\n", - "'>>> as the vietnam war and [MASK] issues in the [MASK] states. in between asking politicians and ordinary denizens of stockholm about their [MASK] on [MASK], [MASK] has sex with her drama teacher, classmates, and married men. creating br / > [MASK] br / > what kills me about i am [MASK] [MASK] yellow is that 40 years ago, this was considered pornographic. really, the sex and nudity scenes are few and far between, even then [MASK]'s not shot like some cheaply made porno. while my [MASK]men mind find it shocking, in reality sex and nudity are a major staple in swedish [MASK] biography even ingmar [MASK],'\n" - ] - } + "text/plain": [ + "Download file runs/Jan19_08-04-53_ff8fe0df0c19/events.out.tfevents.1642581569.ff8fe0df0c19.76.6: 100%|########…" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "markdown", - "source": [ - "แต่ปัญหาตอนนี้คือตอนที่เราแทนคำด้วย [MASK] มันดันแทนแค่คำย่อยของคำนั้นๆ(sub-word)ไม่ได้แทนทั้งหมดเช่น \"bromwell => [MASK]mwell\". \n", - "เพราะฉนั้นเราจะต้องทำในสิ่งที่เรียกว่า \"whole-word-mask\"" - ], - "metadata": { - "id": "MK4xU6zuBjAT" - } + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "28896854d97f41a3a718a85aaf4ca392", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Clean file training_args.bin: 34%|###4 | 1.00k/2.92k [00:00>> {tokenizer.decode(chunk),len(chunk)}'\") # หมดปัญหา" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "17hulOsSBiJ2", - "outputId": "9472799a-cd0e-4040-d4d8-ca8df3abe5f2" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ee5b1b2d588f434fbb4b886440f18d6f", + "version_major": 2, + "version_minor": 0 }, - "execution_count": 25, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "'>>> ('[CLS] i rented i am curious - yellow from my video store because [MASK] all the controversy that [MASK] it [MASK] it was [MASK] [MASK] in [MASK] [MASK] i also heard [MASK] at [MASK] it [MASK] seized by u [MASK] [MASK]. customs [MASK] it ever tried [MASK] enter this country, therefore being a [MASK] of films [MASK] [MASK] controversial \" i [MASK] had [MASK] see this [MASK] myself. [MASK] br / > < br / [MASK] the plot [MASK] centered [MASK] a young swedish drama [MASK] named lena who [MASK] [MASK] learn everything she can about life [MASK] in particular she wants to focus her attentions [MASK] making some sort of documentary on what [MASK] average swede thought about certain political issues such', 128)'\n", - "\n", - "'>>> (\"as [MASK] [MASK] war and race [MASK] [MASK] the united states [MASK] in between asking politicians and [MASK] denizens of stockholm about their opinions on politics, she has sex with [MASK] [MASK] teacher [MASK] classmates, and married [MASK] [MASK] < br / > < br / > what kills me about [MASK] am curious - yellow [MASK] [MASK] 40 years [MASK] [MASK] [MASK] [MASK] considered [MASK]. really, the sex and nudity [MASK] are [MASK] and far between [MASK] even [MASK] it'[MASK] not shot like [MASK] cheaply [MASK] porno. [MASK] my countrymen mind find it shocking, in [MASK] sex and nudity are a major staple in swedish cinema. [MASK] [MASK] [MASK] [MASK],\", 128)'\n" - ] - } + "text/plain": [ + "Clean file runs/Jan19_08-04-53_ff8fe0df0c19/events.out.tfevents.1642579623.ff8fe0df0c19.76.4: 20%|## |…" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "code", - "source": [ - "lm_datasets # 61k ...." - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "w1tg-3dt5V9Q", - "outputId": "c14b4e50-3781-4bd2-c04d-a5c8c5cbf99b" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4d5b0abd6d584bf7bf7febd96566efbf", + "version_major": 2, + "version_minor": 0 }, - "execution_count": 26, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "DatasetDict({\n", - " train: Dataset({\n", - " features: ['attention_mask', 'input_ids', 'labels', 'word_ids'],\n", - " num_rows: 61291\n", - " })\n", - " test: Dataset({\n", - " features: ['attention_mask', 'input_ids', 'labels', 'word_ids'],\n", - " num_rows: 59904\n", - " })\n", - " unsupervised: Dataset({\n", - " features: ['attention_mask', 'input_ids', 'labels', 'word_ids'],\n", - " num_rows: 122957\n", - " })\n", - "})" - ] - }, - "metadata": {}, - "execution_count": 26 - } + "text/plain": [ + "Clean file runs/Jan19_08-04-53_ff8fe0df0c19/1642579627.893799/events.out.tfevents.1642579627.ff8fe0df0c19.76.5…" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "code", - "source": [ - "train_size = 10_000\n", - "test_size = int(0.1 * train_size)\n", - "\n", - "downsampled_dataset = lm_datasets[\"train\"].train_test_split(\n", - " train_size=train_size, test_size=test_size, seed=42\n", - ")\n", - "downsampled_dataset" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "ypfLXrn4C_UN", - "outputId": "fe1e3c7c-3cd7-4c0f-f02a-faa9e9ded754" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a4e698addc0645199018614ffef91a7d", + "version_major": 2, + "version_minor": 0 }, - "execution_count": 27, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "DatasetDict({\n", - " train: Dataset({\n", - " features: ['attention_mask', 'input_ids', 'labels', 'word_ids'],\n", - " num_rows: 10000\n", - " })\n", - " test: Dataset({\n", - " features: ['attention_mask', 'input_ids', 'labels', 'word_ids'],\n", - " num_rows: 1000\n", - " })\n", - "})" - ] - }, - "metadata": {}, - "execution_count": 27 - } + "text/plain": [ + "Clean file runs/Jan19_08-04-53_ff8fe0df0c19/events.out.tfevents.1642581569.ff8fe0df0c19.76.6: 100%|##########|…" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "code", - "source": [ - "from huggingface_hub import notebook_login\n", - "\n", - "notebook_login() # เอาไว้โยนโมเดลขึ้น hugging face ได้เลย" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 387, - "referenced_widgets": [ - "0601f991805e43f68101d0047446b2d4", - "181598533da74d8387cf0d0bd5073403", - "e7a8a02040af48aa876ee845f301e7b1", - "a596d8672c1340648cd2d5af04702e9a", - "07c737cc7ec14390a0490b9d7f8e6bae", - "ce350edd1a4144daa19b4f4f750ecd99", - "b7a2b397f00a40dc815c4467b41f12bf", - "bbad97acdf1249c4a0fbfe97f10f55ed", - "4f85a5eb7a3e43a69d9ec0d63b0375b1", - "f02498c447ae4e40a3ddf61fd8b1134f", - "7c2d75c758b1482eba8b69b38a6f45ec", - "6fc49828d6394875a4a3bc3f1d86a020", - "ba2f28ce250749daa828ea2bab25e93d", - "3c5b5d391598406f9edcb731123941bf", - "2ad2b0da3af1421082443701907985b5", - "042d9de05f064d819d943ab019fba36f", - "d2201000bbe74fc29318caa25a85c66e" - ] - }, - "id": "ZW6IR4l5XVor", - "outputId": "2f32123a-7907-42b5-ac9c-c04c74fa5df7" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "128b457f47df4bafa55685ec48e59e3b", + "version_major": 2, + "version_minor": 0 }, - "execution_count": 28, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Login successful\n", - "Your token has been saved to /root/.huggingface/token\n", - "\u001b[1m\u001b[31mAuthenticated through git-credential store but this isn't the helper defined on your machine.\n", - "You might have to re-authenticate when pushing to the Hugging Face Hub. Run the following command in your terminal in case you want to set this credential helper as the default\n", - "\n", - "git config --global credential.helper store\u001b[0m\n" - ] - } + "text/plain": [ + "Clean file pytorch_model.bin: 0%| | 1.00k/256M [00:00\n", + " \n", + " \n", + " [16/16 00:20]\n", + " \n", + " " ], - "metadata": { - "id": "9qlilX1xDePR" - }, - "execution_count": 29, - "outputs": [] + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + ">>> Perplexity: 21.94\n" + ] + } + ], + "source": [ + "import math\n", + "\n", + "eval_results = trainer.evaluate()\n", + "print(f\">>> Perplexity: {math.exp(eval_results['eval_loss']):.2f}\") # โมเดลก่อนเทรน" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 688 + }, + "id": "-0X4PqIfD6Qt", + "outputId": "2a98a10a-5ae5-462e-b0f7-ed9cd9f0276e" + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "The following columns in the training set don't have a corresponding argument in `DistilBertForMaskedLM.forward` and have been ignored: word_ids.\n", + "***** Running training *****\n", + " Num examples = 10000\n", + " Num Epochs = 3\n", + " Instantaneous batch size per device = 64\n", + " Total train batch size (w. parallel, distributed & accumulation) = 64\n", + " Gradient Accumulation steps = 1\n", + " Total optimization steps = 471\n" + ] }, { - "cell_type": "code", - "source": [ - "from transformers import Trainer\n", - "\n", - "trainer = Trainer(\n", - " model=model,\n", - " args=training_args,\n", - " train_dataset=downsampled_dataset[\"train\"],\n", - " eval_dataset=downsampled_dataset[\"test\"],\n", - " data_collator=data_collator,\n", - ")" + "data": { + "text/html": [ + "\n", + "
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EpochTraining LossValidation Loss
12.7070002.488302
22.5720002.423960
32.5377002.435494

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] - }, - "id": "lHb6e1x1DtuI", - "outputId": "690bf88f-644d-4c8b-f0f9-3ca58c501ee3" - }, - "execution_count": 30, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "Cloning https://huggingface.co/mrp/distilbert-base-uncased-finetuned-imdb into local empty directory.\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "Download file pytorch_model.bin: 0%| | 3.46k/256M [00:00" ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "The following columns in the evaluation set don't have a corresponding argument in `DistilBertForMaskedLM.forward` and have been ignored: word_ids.\n", + "***** Running Evaluation *****\n", + " Num examples = 1000\n", + " Batch size = 64\n" + ] }, { - "cell_type": "markdown", - "source": [ - "# How to evalute LMs?\n", - "# วิธีประเมินผล language model?\n", - "เราใช้สิ่งที่เรียกว่าคะแนน \"perplexity\". Perplexity คือคะแนนที่ช่วยประเมินว่า \"คำที่โมเดลเราทำนายนั้นถูกหรือไม่\" (ยิ่งน้อยยิ่งดี) " + "data": { + "text/html": [ + "\n", + "

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EpochTraining LossValidation Loss
12.7070002.488302
22.5720002.423960
32.5377002.435494

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\n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "The following columns in the evaluation set don't have a corresponding argument in `DistilBertForMaskedLM.forward` and have been ignored: word_ids.\n", - "***** Running Evaluation *****\n", - " Num examples = 1000\n", - " Batch size = 64\n", - "The following columns in the evaluation set don't have a corresponding argument in `DistilBertForMaskedLM.forward` and have been ignored: word_ids.\n", - "***** Running Evaluation *****\n", - " Num examples = 1000\n", - " Batch size = 64\n", - "\n", - "\n", - "Training completed. Do not forget to share your model on huggingface.co/models =)\n", - "\n", - "\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "TrainOutput(global_step=471, training_loss=2.6047206907009115, metrics={'train_runtime': 1918.5724, 'train_samples_per_second': 15.637, 'train_steps_per_second': 0.245, 'total_flos': 994208670720000.0, 'train_loss': 2.6047206907009115, 'epoch': 3.0})" - ] - }, - "metadata": {}, - "execution_count": 57 - } + "text/plain": [ + "Upload file runs/Jan19_08-04-53_ff8fe0df0c19/events.out.tfevents.1642579623.ff8fe0df0c19.76.4: 68%|######8 …" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "code", - "source": [ - "eval_results = trainer.evaluate()\n", - "print(f\">>> Perplexity: {math.exp(eval_results['eval_loss']):.2f}\") #โมเดลหลังเทรน" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 148 - }, - "id": "hR6QbICUD9Vr", - "outputId": "4086d097-72ba-49f6-860f-b8b65ea942f6" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a2e632e10085485d9fe052002f67ef12", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "The following columns in the evaluation set don't have a corresponding argument in `DistilBertForMaskedLM.forward` and have been ignored: word_ids.\n", - "***** Running Evaluation *****\n", - " Num examples = 1000\n", - " Batch size = 64\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - "
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\n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - ">>> Perplexity: 11.84\n" - ] - } + "text/plain": [ + "Upload file runs/Jan19_08-04-53_ff8fe0df0c19/events.out.tfevents.1642581569.ff8fe0df0c19.76.6: 100%|##########…" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "code", - "source": [ - "trainer.push_to_hub()# โยนขึ้น hugging face" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 458, - "referenced_widgets": [ - "8c3a4bd94b944285abefb55010c88d9d", - "64bc5e49e89243648eb515c0e59bb3b9", - "3523605ef4564828a54576346197434f", - "e37a07f72d0f45619ba92eecf75a23f2", - "fab48bebe1aa4ef18a1af6b805a90e86", - "f721609781fb454192c8ac6d666324c2", - "c878de8b85a647aab6b17806966cb822", - "812c308cdebc4841a31187472d1609cb", - "541f061821b34fcf83e316c901646ff9", - "203a957afff245258b627c4211d7d6eb", - "2ccbaaa570cc4a4fb419b6bceed2640c", - "3f3fec68eb1946ffa6286d804af1d32e", - "99d8757857fc436c8155c8defe193ba4", - "55cf0a8beb6f45a5957356fe414c91c0", - "bc5100a4c1bb4dbfa9f8d1951d5a974e", - "8e04eced192447c382a45a7ae52b5582", - "fa33482e561944048e6c643b7789b4ba", - "8a5134e883d84dc1a3aa4807cc50ae2b", - "8d84b99d77c642ecaecb0a94729216b3", - "9043bc5eccd2401abe3f0229a5b66028", - "cb352fcb16914722bafffb0b64f46d0b", - "ac059e5ac4c34e89b3e1bdbfa785a909", - "a2e632e10085485d9fe052002f67ef12", - "12db5d844f40495e8bd6b46236e22841", - "457906b15d7e41b7ab09ae5dd6d1ad6c", - "ab078316215a419595e5886e78e01905", - "0d49d58fc6f844a9be3210c36976cb16", - "e937ab67fb8f4790aa69714aa871dbcd", - "3032ec17ac92407f8667f506ff4ba470", - "1ed75d802d3e44dbb5198f82c1cc79ac", - "1bb1219d92e14e719d99c9cfe041a6bd", - "9c897e992c8040a8bc475eff2ab28c80", - "82661760bd53408fbe14b88af286051f", - "7fe92004a71c43b5a3f9790a73341af5", - "c94fad98dd9b4cdb96241a8a6f91c9b1", - "eb4d504039a3459083d1d394fd65858a", - "e73cf46562a94b07a77671180e3eaa15", - "755523217eb0475784fba39eec091ed2", - "e89b2eab06874ea5b7ad511f5c8d40c4", - "b0666168eae54c55ab8cdc22abe78c6b", - "d834efac621b47abb9444d7ebdda71aa", - "709451b1e9e5461585fa26b658ba0df0", - "cd5fd3fda0014e79bd511a8ed0ee0ce2", - "9070a3843e8645aa8bc5473e4fedb500", - "9383caac9b4c499a9c7421e6440dee7a", - "1a3bfade51a9499d8c40fb6fd69e12fe", - "38a6e810cdc5424a95527b8194f3241c", - "c76810c0082b4f6b900ee5198fd4440b", - "ebbfa33ddaf64f9cba58d5283dea6eb1", - "0f81a488a7db435388fbc3152158c455", - "001ce509f5884331a90df213bd7e2a35", - "272c4ab18f274efea14075c12e20af44", - "45b75cf0c57746c29ef5b2d52d5553ce", - "f149addd0aae4bf495afbc67be3759d3", - "4c0a463d75aa4c988aaeeb3c962c3cb5", - "4b75887daeab4686bc7162c5978550d8", - "5fb3969148a246d3adc73a63eb49bda1", - "08f3389f39594dd38352b0a8f01c86bb", - "f5bb0cc520d54a60879aa414800be3ae", - "4736d72442604b85b38dcd80ed351f75", - "0c3f418b232043f9952443d2e3a19375", - "a24be2e62eed41c2b3fc0445791cb8da", - "bc5c7c60c95b425886e0ebd03fe800ce", - "52a3730f5a384f74bac69b3db3bc34f9", - "05b93df5a3114389964e5718144d4aae", - "18a30ee8789549e79171512eb2af4d59" - ] - }, - "id": "Llr9EtYJYGdx", - "outputId": "68843409-2449-4b90-f859-6dbff001af58" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7fe92004a71c43b5a3f9790a73341af5", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "Saving model checkpoint to distilbert-base-uncased-finetuned-imdb\n", - "Configuration saved in distilbert-base-uncased-finetuned-imdb/config.json\n", - "Model weights saved in distilbert-base-uncased-finetuned-imdb/pytorch_model.bin\n" - ] - }, - { - "output_type": "display_data", - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "8c3a4bd94b944285abefb55010c88d9d", - "version_minor": 0, - "version_major": 2 - }, - "text/plain": [ - "Upload file pytorch_model.bin: 0%| | 3.37k/256M [00:00 main\n", - "\n", - "Dropping the following result as it does not have all the necessary fields:\n", - "{'task': {'name': 'Masked Language Modeling', 'type': 'fill-mask'}, 'dataset': {'name': 'imdb', 'type': 'imdb', 'args': 'plain_text'}}\n", - "To https://huggingface.co/mrp/distilbert-base-uncased-finetuned-imdb\n", - " 01c80f6..6985945 main -> main\n", - "\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "application/vnd.google.colaboratory.intrinsic+json": { - "type": "string" - }, - "text/plain": [ - "'https://huggingface.co/mrp/distilbert-base-uncased-finetuned-imdb/commit/01c80f63e00b89c0a2c303d9233306a9dd042236'" - ] - }, - "metadata": {}, - "execution_count": 59 - } + "text/plain": [ + "Upload file runs/Jan19_08-04-53_ff8fe0df0c19/1642579627.893799/events.out.tfevents.1642579627.ff8fe0df0c19.76.…" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "markdown", - "source": [ - "# โจทย์พิเศษ: ในเมื่อทุกคนได้โมเดลและอัพขึ้น hugging face มาแล้ว ลองดึงเอาโมเดลลงมาใช้ดีกว่า !! " - ], - "metadata": { - "id": "8fxVVoYA9gjB" - } + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9383caac9b4c499a9c7421e6440dee7a", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Upload file runs/Jan19_08-04-53_ff8fe0df0c19/events.out.tfevents.1642579562.ff8fe0df0c19.76.3: 100%|##########…" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "code", - "source": [ - "# Your code\n", - "# วิธีเรียกใช้งานให้ดู 05n_NLP_on_HF_01.ipynb\n", - "# https://colab.research.google.com/drive/1iOylkO475Ki1C1Lf4RNbvpx05tNYqmjP?usp=sharing" - ], - "metadata": { - "id": "H3aN1hWo9hGL" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4b75887daeab4686bc7162c5978550d8", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [] + "text/plain": [ + "Upload file training_args.bin: 100%|##########| 2.92k/2.92k [00:00 main\n", + "\n", + "Dropping the following result as it does not have all the necessary fields:\n", + "{'task': {'name': 'Masked Language Modeling', 'type': 'fill-mask'}, 'dataset': {'name': 'imdb', 'type': 'imdb', 'args': 'plain_text'}}\n", + "To https://huggingface.co/mrp/distilbert-base-uncased-finetuned-imdb\n", + " 01c80f6..6985945 main -> main\n", + "\n" + ] + }, + { + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" }, - "execution_count": null, - "outputs": [] + "text/plain": [ + "'https://huggingface.co/mrp/distilbert-base-uncased-finetuned-imdb/commit/01c80f63e00b89c0a2c303d9233306a9dd042236'" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "trainer.push_to_hub()# โยนขึ้น hugging face" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8fxVVoYA9gjB" + }, + "source": [ + "# โจทย์พิเศษ: ในเมื่อทุกคนได้โมเดลและอัพขึ้น hugging face มาแล้ว ลองดึงเอาโมเดลลงมาใช้ดีกว่า !! " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "H3aN1hWo9hGL" + }, + "outputs": [], + "source": [ + "# Your code\n", + "# วิธีเรียกใช้งานให้ดู 05n_NLP_on_HF_01.ipynb\n", + "# https://colab.research.google.com/drive/1iOylkO475Ki1C1Lf4RNbvpx05tNYqmjP?usp=sharing" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "_uSzs7HVwSzd" + }, + "outputs": [], + "source": [ + "#### #####" + ] + } + ], + "metadata": { + "accelerator": "GPU", + "colab": { + "collapsed_sections": [], + "name": "สำเนาของ AI Builder NLP-02-02", + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + }, + "widgets": { + 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Done\n", + "git-lfs is already the newest version (2.3.4-1).\n", + "The following packages were automatically installed and are no longer required:\n", + " libnvidia-common-460 nsight-compute-2020.2.0\n", + "Use 'apt autoremove' to remove them.\n", + "0 upgraded, 0 newly installed, 0 to remove and 42 not upgraded.\n", + "Collecting sacrebleu==2.0.0\n", + " Downloading sacrebleu-2.0.0-py3-none-any.whl (90 kB)\n", + "\u001b[K |████████████████████████████████| 90 kB 3.7 MB/s \n", + "\u001b[?25hRequirement already satisfied: regex in /usr/local/lib/python3.7/dist-packages (from sacrebleu==2.0.0) (2019.12.20)\n", + "Collecting portalocker\n", + " Downloading portalocker-2.4.0-py2.py3-none-any.whl (16 kB)\n", + "Collecting colorama\n", + " Downloading colorama-0.4.4-py2.py3-none-any.whl (16 kB)\n", + "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.7/dist-packages (from sacrebleu==2.0.0) (1.21.6)\n", + "Requirement already satisfied: tabulate>=0.8.9 in /usr/local/lib/python3.7/dist-packages (from sacrebleu==2.0.0) (0.8.9)\n", + "Installing collected packages: portalocker, colorama, sacrebleu\n", + "Successfully installed colorama-0.4.4 portalocker-2.4.0 sacrebleu-2.0.0\n" + ] } + ], + "source": [ + "!pip install datasets==1.17.0 transformers[sentencepiece]==4.34.0\n", + "!pip install accelerate==0.23.0\n", + "# To run the training on TPU, you will need to uncomment the followin line:\n", + "# !pip install cloud-tpu-client==0.10 torch==1.9.0 https://storage.googleapis.com/tpu-pytorch/wheels/torch_xla-1.9-cp37-cp37m-linux_x86_64.whl\n", + "!apt install git-lfs\n", + "!pip install sacrebleu==2.0.0" + ] }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# บทที่ 6n - การเทรนโมเดลบน Hugging Face พาร์ท 2.1" - ], - "metadata": { - "id": "Hq-7c4brzfch" - } + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "VFVxxpLPsI-O" + }, + "outputs": [], + "source": [ + "!git config --global user.email \"hugging_face_email\"\n", + "!git config --global user.name \"hugging_face_user_name\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 386, + "referenced_widgets": [ + "0553018238124ed482d870780e4a13c4", + "de2e25e85481445191e99412607e65ea", + "a2de0ab702994fccb010b90de6184b1a", + "431462170b9542c8b493641d8102866f", + "564fc47364bd441a8bae9338ed4d9da7", + "ee086f67be544e7b931ce9cce0fcd349", + "b158cbdc7c244fec8dcdc0ea598244cf", + "950a45fbd37c42ac8431dbf8d74c8972", + "49f47ee9659644fd955b7c9b6e7014b3", + "be8958f699f04eae9c0904676919bc5e", + "6b1afa9c47a54fa281748bcdf0fd84b6", + "86d7a8bb3b5f4c4aaeef99fd916cc234", + "f11ba0b3882242ec9aa67ba6d1a76090", + "5e9860cbd2754281a0f47dafc5ae0a0b", + "17b4e25a9d314c1a88ff5cfc8d2abfe5", + "15f59a29390644298c01776fb212203d", + "dd95151b749a46dd95f0410dab493f49" + ] }, + "id": "gw9Ms_Yqrstj", + "outputId": "3781550c-fdf5-4805-b1e8-11e22d409f3b" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/ai-builders/curriculum/blob/main/notebooks/06n_Machine_Translation.ipynb)\n" - ], - "metadata": { - "id": "er67MjqazfOt" - } + "name": "stdout", + "output_type": "stream", + "text": [ + "Login successful\n", + "Your token has been saved to /root/.huggingface/token\n", + "\u001b[1m\u001b[31mAuthenticated through git-credential store but this isn't the helper defined on your machine.\n", + "You might have to re-authenticate when pushing to the Hugging Face Hub. Run the following command in your terminal in case you want to set this credential helper as the default\n", + "\n", + "git config --global credential.helper store\u001b[0m\n" + ] + } + ], + "source": [ + "from huggingface_hub import notebook_login\n", + "\n", + "notebook_login()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "jFNhmLoO-chg" + }, + "source": [ + "# โจทย์วันนี้: สร้างเครื่องแปลภาษาจาก EN-FR " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 217, + "referenced_widgets": [ + "a7fa0a8bf86442059944376bba6fd9cb", + "ae6615054c974e2cacf8bdff52dd5e2b", + "e9e45f7921ca48feb3b121b884e7c539", + "64db05c429aa4801be8dd1bf50edd0d9", + "5079b886fdbf488ca875fa34f719ef1d", + "20b939e78c6b43208a84b869bd59632d", + "dbc56b2e64f24cf3af32a3a8e167ed68", + "eafc032dc8ba45fd8ab398ac1f01253f", + "392a9f6ef3404d1c97a706359a46874f", + "a15b08e0825047fb92a48e39110be065", + "aec90266bba141a0a2e67866eaa6a4cd", + "29ffa3f44e73460b9e53d7ff3eca1293", + "529f609c84234b549d1554aa067355da", + "9ad68000351d4e428ef3692a78ebea35", + "3b0fa5372fa645d7ac67ed7d5a27178c", + "67e62ac7708f452abb2820aa0fcf6d03", + "121756e7d6354e75b9890d7f5c53c4e3", + "3714a214c9d942efa2c81a6c5f403b68", + "8528fefdfe9048818837afb8025a3fa7", + "f7df6417b6c64e3e83a0c0b2f62c8279", + "aca375dddc18453888f8ff2ef8a7e169", + "f9d3f2bdfbb64145bc44c984ac33981b", + "2469c28959b7495784e4cd205518f6b0", + "600881d41b034811aa8a99e83ca326a6", + "24e65db79fe3429d98a196505162f76f", + "45bacfddc22d47c7bcb49e1cdb4ec9ed", + "098c011383824c2d97dc582e9af5bbd2", + "ad70097aed9e43b48cfb1b8a4c47c711", + "c8c509a1d01442d59fe07738c4ab48d2", + "14ff6d3c7edf4b89a3ab138233f7749a", + "ab3b471ce661446094b2dba41eaf5abc", + "6ba13adf9b9a4f019a749ba0729e3ebd", + "8cb0838670d3478eb611686cb35b7850", + "ebff6bf2ece3454193f14ef854b16dec", + "a057c03bfda443c6b99e2fd7f459aaa0", + "98406125b22646d2a2e58fd4be6b4f53", + "78df6c5d4adf4492aebc05d76e50f7d9", + "d6cb44770f1d4a649537f7f85aa61af8", + "ae3ef5e2e1474ea39c288fefbd220fae", + "276cefeb5b064a2f8b0bf91e9c790b32", + "e81b8c1e87f4457886504c4b05021926", + "60a63dbaee64416289b29f055e6720cb", + "d27c03eeff3f4c3a9e819adbfea7a7c7", + "247e26e3c89c4ec58587c3277e511513", + "d45ed8eb5cbd49c48d2583cbfa7276c2", + "7ec5f73d20ac4e64aabd402a54b182cc", + "62cd213a678f47b3a9ced07704e7fb57", + "08f5d07948da43b69da0c4d939854715", + "5991d10bcb39451d8c63f1e9bdf44866", + "2c767681b01f483ba486e5b5fe8c72b0", + "21d3a333c211429fb68751e1e7a68858", + "cd1b4c6814c242f2a116a2e595d9f1c0", + "0bfdd42b8913460b9fc877798485eb4a", + "d43d6adc9d0946d4a16f73f141a43f5f", + "3e4373cdf5fe4c21a0e8327aabf252eb" + ] }, + "id": "iH9ynfRssCdp", + "outputId": "c0571b69-97a6-4b48-b77d-af90859e4fb7" + }, + "outputs": [ { - 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Done\n", - "Building dependency tree \n", - "Reading state information... Done\n", - "git-lfs is already the newest version (2.3.4-1).\n", - "The following packages were automatically installed and are no longer required:\n", - " libnvidia-common-460 nsight-compute-2020.2.0\n", - "Use 'apt autoremove' to remove them.\n", - "0 upgraded, 0 newly installed, 0 to remove and 42 not upgraded.\n", - "Collecting sacrebleu==2.0.0\n", - " Downloading sacrebleu-2.0.0-py3-none-any.whl (90 kB)\n", - "\u001b[K |████████████████████████████████| 90 kB 3.7 MB/s \n", - "\u001b[?25hRequirement already satisfied: regex in /usr/local/lib/python3.7/dist-packages (from sacrebleu==2.0.0) (2019.12.20)\n", - "Collecting portalocker\n", - " Downloading portalocker-2.4.0-py2.py3-none-any.whl (16 kB)\n", - "Collecting colorama\n", - " Downloading colorama-0.4.4-py2.py3-none-any.whl (16 kB)\n", - "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.7/dist-packages (from sacrebleu==2.0.0) (1.21.6)\n", - "Requirement already satisfied: tabulate>=0.8.9 in /usr/local/lib/python3.7/dist-packages (from sacrebleu==2.0.0) (0.8.9)\n", - "Installing collected packages: portalocker, colorama, sacrebleu\n", - "Successfully installed colorama-0.4.4 portalocker-2.4.0 sacrebleu-2.0.0\n" - ] - } - ], - "source": [ - "!pip install datasets==1.17.0 transformers[sentencepiece]==4.15.0\n", - "!pip install accelerate==0.5.1\n", - "# To run the training on TPU, you will need to uncomment the followin line:\n", - "# !pip install cloud-tpu-client==0.10 torch==1.9.0 https://storage.googleapis.com/tpu-pytorch/wheels/torch_xla-1.9-cp37-cp37m-linux_x86_64.whl\n", - "!apt install git-lfs\n", - "!pip install sacrebleu==2.0.0" + "text/plain": [ + "Downloading: 0%| | 0.00/1.89k [00:00']\n", - "['▁Par', '▁défaut', ',', '▁développer', '▁les', '▁fils', '▁de', '▁discussion', '']\n" - ] - } + "data": { + "text/plain": [ + "{'en': 'Default to expanded threads',\n", + " 'fr': 'Par défaut, développer les fils de discussion'}" ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "split_datasets[\"train\"][1][\"translation\"] # ผลเฉลย" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "Uuz6JqdxLytN", + "outputId": "62938e60-87d4-47ac-8b11-38d64ab1824f" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "with tokenizer.as_target_tokenizer():\n", - " correct_targets = tokenizer(fr_sentence)\n", - "print(tokenizer.convert_ids_to_tokens(correct_targets[\"input_ids\"]))\n", - "print(tokenizer.convert_ids_to_tokens(targets[\"input_ids\"]))" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "lfiETpAwMfMC", - "outputId": "02817e42-c441-43fb-f0c2-960fcb497032" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "['▁Par', '▁défaut', ',', '▁développer', '▁les', '▁fils', '▁de', '▁discussion', '']\n", - "['▁Par', '▁défaut', ',', '▁développer', '▁les', '▁fils', '▁de', '▁discussion', '']\n" - ] - } + "data": { + "text/plain": [ + "[{'translation_text': '2006-02-26 3.5.1'},\n", + " {'translation_text': 'Le plugin Babel & konqueror; vous donne un accès rapide au service de traduction Babelfish.'},\n", + " {'translation_text': 'KDE'},\n", + " {'translation_text': 'kdeaddons'}]" ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "translator([x['en'] for x in raw_datasets['train']['translation'][3:7]])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "6G_yRT4xMGnO", + "outputId": "7992df13-b138-48e8-8950-761d07c214ed" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "with tokenizer.as_target_tokenizer():\n", - " wrong_source = tokenizer(en_sentence)\n", - "print(tokenizer.convert_ids_to_tokens(wrong_source[\"input_ids\"]))\n", - "print(tokenizer.convert_ids_to_tokens(inputs[\"input_ids\"]))" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "nX09Vgf5M4Nu", - "outputId": "37d343f3-4899-4135-9dc8-c6e8f68980de" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "['▁De', 'f', 'ault', '▁to', '▁exp', 'ande', 'd', '▁th', 'read', 's', '']\n", - "['▁Default', '▁to', '▁expanded', '▁thread', 's', '']\n" - ] - } + "data": { + "text/plain": [ + "[{'en': '2006-02-26 3.5.1', 'fr': '2006-02-26 3.5.1'},\n", + " {'en': 'The Babel & konqueror; plugin gives you quick access to the Babelfish translation service.',\n", + " 'fr': 'Le module externe Babel pour & konqueror; vous donne un accès rapide au service de traduction Babelfish.'},\n", + " {'en': 'KDE', 'fr': 'KDE'},\n", + " {'en': 'kdeaddons', 'fr': 'kdeaddons'}]" ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_datasets['train']['translation'][3:7]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "A0W8z4K9s2C9" + }, + "source": [ + "# การจัดการดาต้า (Processing)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "voKT6_RAsrjE" + }, + "outputs": [], + "source": [ + "from transformers import AutoTokenizer\n", + "\n", + "model_checkpoint = \"Helsinki-NLP/opus-mt-en-fr\"\n", + "tokenizer = AutoTokenizer.from_pretrained(model_checkpoint, return_tensors=\"tf\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "GTwI5Ancs5He" + }, + "outputs": [], + "source": [ + "en_sentence = split_datasets[\"train\"][1][\"translation\"][\"en\"]\n", + "fr_sentence = split_datasets[\"train\"][1][\"translation\"][\"fr\"]\n", + "\n", + "inputs = tokenizer(en_sentence) \n", + "with tokenizer.as_target_tokenizer():\n", + " targets = tokenizer(fr_sentence)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "1n78eGlqtZjr" + }, + "source": [ + "# สิ่งที่ต้องระวัง\n", + "ในบางครั้งตัวตัดคำ (tokenizer) ไม่ได้รองรับภาษานั้นๆ จะต้องเลือกใช้ให้ถูกต้องด้วย ซึ่งถ้าไม่ได้ใช้ \n", + "```\n", + "with tokenizer.as_target_tokenizer():\n", + "```\n", + "จะทำให้การตัดคำของเราผิดได้ ยกตัวอย่างเช่น:\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "kxkywTMjtA-l", + "outputId": "4043323f-ab85-4c7a-c142-e9487afd8c7e" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "max_input_length = 128 # ยาวเกินไม่เอา\n", - "max_target_length = 128\n", - "\n", - "def preprocess_function(examples):\n", - " inputs = [ex[\"en\"] for ex in examples[\"translation\"]]\n", - " targets = [ex[\"fr\"] for ex in examples[\"translation\"]]\n", - " model_inputs = tokenizer(inputs, max_length=max_input_length, truncation=True)\n", - "\n", - " # ใช้ tokenizer ให้ตรงกับภาษานั้นๆ \n", - " with tokenizer.as_target_tokenizer():\n", - " labels = tokenizer(targets, max_length=max_target_length, truncation=True)\n", - "\n", - " model_inputs[\"labels\"] = labels[\"input_ids\"]\n", - " return model_inputs" - ], - "metadata": { - "id": "gnjt4oHVtGxK" - }, - "execution_count": null, - "outputs": [] + "name": "stdout", + "output_type": "stream", + "text": [ + "['▁Par', '▁dé', 'f', 'aut', ',', '▁dé', 've', 'lop', 'per', '▁les', '▁fil', 's', '▁de', '▁discussion', '']\n", + "['▁Par', '▁défaut', ',', '▁développer', '▁les', '▁fils', '▁de', '▁discussion', '']\n" + ] + } + ], + "source": [ + "wrong_targets = tokenizer(fr_sentence)\n", + "print(tokenizer.convert_ids_to_tokens(wrong_targets[\"input_ids\"]))\n", + "print(tokenizer.convert_ids_to_tokens(targets[\"input_ids\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "lfiETpAwMfMC", + "outputId": "02817e42-c441-43fb-f0c2-960fcb497032" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "tokenized_datasets = split_datasets.map(\n", - " preprocess_function,\n", - " batched=True,\n", - " remove_columns=split_datasets[\"train\"].column_names,\n", - ")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 81, - "referenced_widgets": [ - "99fe0d99853d4345b74d24e6c1ebbcc1", - "2454b774364e4c8da906b983a29ede7b", - "390698d6202d455498fdfd2ad3bc3a09", - "d58f88b9751040569b955826c165e07b", - "5baa78fb1d0c4ec6a7bf229472ae155e", - "0ae31a1e9153478bab398099ff844afa", - "91c2457d72d84921bfa679b6838a5766", - "3d8ee8c46c604629b6a211ed56f070bb", - "df7d995472ce469fbbe74ab16ca5b65e", - "cf8927c1ae154dbf94e0e880fa112f2a", - "dd19a73fa30c40019e498310987961d5", - "59870b7c46f24f558f374b5c95804f5a", - "f0ad56489e1443319be2aecfdcd97a5e", - "f29beac16c5a4bc9a05ff5f33d453437", - "5857a6d1994849a3a871d82e8bf3fd7a", - "ea2b2937ded9420a937ca1f0176e350a", - "1e99517316bf480fbff79157e805c123", - "d29b2abbe630480aa81d1195b9532977", - "e872386014864b85aa21fecab5ff9040", - "9ac71d65af5b451bbdcc9df314a6e257", - "a72b5710fe0d4e30bd70d32dbd944e64", - "9635626b575842ff916c4e7713380d2f" - ] - }, - "id": "vnEklocetYlR", - "outputId": "20796212-fe12-4225-d6e9-c7e1b0a2a9d6" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - " 0%| | 0/190 [00:00']\n", + "['▁Par', '▁défaut', ',', '▁développer', '▁les', '▁fils', '▁de', '▁discussion', '']\n" + ] + } + ], + "source": [ + "with tokenizer.as_target_tokenizer():\n", + " correct_targets = tokenizer(fr_sentence)\n", + "print(tokenizer.convert_ids_to_tokens(correct_targets[\"input_ids\"]))\n", + "print(tokenizer.convert_ids_to_tokens(targets[\"input_ids\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "nX09Vgf5M4Nu", + "outputId": "37d343f3-4899-4135-9dc8-c6e8f68980de" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "tokenized_datasets" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "fhFxwbF8NLma", - "outputId": "7d39a120-398e-467f-ab3c-377e40fcbd8f" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "DatasetDict({\n", - " train: Dataset({\n", - " features: ['attention_mask', 'input_ids', 'labels'],\n", - " num_rows: 189155\n", - " })\n", - " validation: Dataset({\n", - " features: ['attention_mask', 'input_ids', 'labels'],\n", - " num_rows: 21018\n", - " })\n", - "})" - ] - }, - "metadata": {}, - "execution_count": 14 - } - ] + "name": "stdout", + "output_type": "stream", + "text": [ + "['▁De', 'f', 'ault', '▁to', '▁exp', 'ande', 'd', '▁th', 'read', 's', '']\n", + "['▁Default', '▁to', '▁expanded', '▁thread', 's', '']\n" + ] + } + ], + "source": [ + "with tokenizer.as_target_tokenizer():\n", + " wrong_source = tokenizer(en_sentence)\n", + "print(tokenizer.convert_ids_to_tokens(wrong_source[\"input_ids\"]))\n", + "print(tokenizer.convert_ids_to_tokens(inputs[\"input_ids\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "gnjt4oHVtGxK" + }, + "outputs": [], + "source": [ + "max_input_length = 128 # ยาวเกินไม่เอา\n", + "max_target_length = 128\n", + "\n", + "def preprocess_function(examples):\n", + " inputs = [ex[\"en\"] for ex in examples[\"translation\"]]\n", + " targets = [ex[\"fr\"] for ex in examples[\"translation\"]]\n", + " model_inputs = tokenizer(inputs, max_length=max_input_length, truncation=True)\n", + "\n", + " # ใช้ tokenizer ให้ตรงกับภาษานั้นๆ \n", + " with tokenizer.as_target_tokenizer():\n", + " labels = tokenizer(targets, max_length=max_target_length, truncation=True)\n", + "\n", + " model_inputs[\"labels\"] = labels[\"input_ids\"]\n", + " return model_inputs" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "99fe0d99853d4345b74d24e6c1ebbcc1", + "2454b774364e4c8da906b983a29ede7b", + "390698d6202d455498fdfd2ad3bc3a09", + "d58f88b9751040569b955826c165e07b", + "5baa78fb1d0c4ec6a7bf229472ae155e", + "0ae31a1e9153478bab398099ff844afa", + "91c2457d72d84921bfa679b6838a5766", + "3d8ee8c46c604629b6a211ed56f070bb", + "df7d995472ce469fbbe74ab16ca5b65e", + "cf8927c1ae154dbf94e0e880fa112f2a", + "dd19a73fa30c40019e498310987961d5", + "59870b7c46f24f558f374b5c95804f5a", + "f0ad56489e1443319be2aecfdcd97a5e", + "f29beac16c5a4bc9a05ff5f33d453437", + "5857a6d1994849a3a871d82e8bf3fd7a", + "ea2b2937ded9420a937ca1f0176e350a", + "1e99517316bf480fbff79157e805c123", + "d29b2abbe630480aa81d1195b9532977", + "e872386014864b85aa21fecab5ff9040", + "9ac71d65af5b451bbdcc9df314a6e257", + "a72b5710fe0d4e30bd70d32dbd944e64", + "9635626b575842ff916c4e7713380d2f" + ] }, + "id": "vnEklocetYlR", + "outputId": "20796212-fe12-4225-d6e9-c7e1b0a2a9d6" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "tokenizer.convert_ids_to_tokens(tokenized_datasets['train']['input_ids'][1])" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "AnkUuAuEN8sh", - "outputId": "89aee780-b230-4fa6-9142-69e99ff4f2da" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "99fe0d99853d4345b74d24e6c1ebbcc1", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "['▁Default', '▁to', '▁expanded', '▁thread', 's', '']" - ] - }, - "metadata": {}, - "execution_count": 31 - } + "text/plain": [ + " 0%| | 0/190 [00:00']" - ] - }, - "metadata": {}, - "execution_count": 32 - } + "text/plain": [ + " 0%| | 0/22 [00:00\n", - "```\n", - "\n", - "คือ token ไว้บ่งบอกอะไร?" - ], - "metadata": { - "id": "j82BrWCbOXvZ" - } + "data": { + "text/plain": [ + "DatasetDict({\n", + " train: Dataset({\n", + " features: ['attention_mask', 'input_ids', 'labels'],\n", + " num_rows: 189155\n", + " })\n", + " validation: Dataset({\n", + " features: ['attention_mask', 'input_ids', 'labels'],\n", + " num_rows: 21018\n", + " })\n", + "})" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tokenized_datasets" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "AnkUuAuEN8sh", + "outputId": "89aee780-b230-4fa6-9142-69e99ff4f2da" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# การ Finetuning โมเดลโดยใช้ฟังก์ชั่นสำเร็จรูป" - ], - "metadata": { - "id": "g9wi03jWuRvR" - } + "data": { + "text/plain": [ + "['▁Default', '▁to', '▁expanded', '▁thread', 's', '']" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tokenizer.convert_ids_to_tokens(tokenized_datasets['train']['input_ids'][1])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "nNi5_9JxOLFs", + "outputId": "bdd0f4b4-951d-4065-9c01-b6895e90ef30" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# สิ่งที่เปลี่ยนไปจากโจทย์ก่อนหน้า?\n", - "= จากงานเดิมที่เราต้องใช้ AutoModelForSequenceClassification สำหรับการทำนายประโยค เราจะต้องใช้ Seq2Seq ในการแปลภาษาแทน" - ], - "metadata": { - "id": "Az_k_MZI_ets" - } + "data": { + "text/plain": [ + "['▁Par',\n", + " '▁défaut',\n", + " ',',\n", + " '▁développer',\n", + " '▁les',\n", + " '▁fils',\n", + " '▁de',\n", + " '▁discussion',\n", + " '']" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tokenizer.convert_ids_to_tokens(tokenized_datasets['train']['labels'][1])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "j82BrWCbOXvZ" + }, + "source": [ + "# คำถามน่าคิด:\n", + "คิดว่า token\n", + "\n", + "```\n", + "\n", + "```\n", + "\n", + "คือ token ไว้บ่งบอกอะไร?" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "g9wi03jWuRvR" + }, + "source": [ + "# การ Finetuning โมเดลโดยใช้ฟังก์ชั่นสำเร็จรูป" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Az_k_MZI_ets" + }, + "source": [ + "# สิ่งที่เปลี่ยนไปจากโจทย์ก่อนหน้า?\n", + "= จากงานเดิมที่เราต้องใช้ AutoModelForSequenceClassification สำหรับการทำนายประโยค เราจะต้องใช้ Seq2Seq ในการแปลภาษาแทน" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "y2xRjO7wtfmi" + }, + "outputs": [], + "source": [ + "from transformers import AutoModelForSeq2SeqLM\n", + "\n", + "model = AutoModelForSeq2SeqLM.from_pretrained(model_checkpoint)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Q0ncfZng_uHK" + }, + "source": [ + "# อะไรคือ Seq2Seq?\n", + "![111318_0848_seq2seqSequ1.webp](data:image/webp;base64,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)\n", + "\n", + "from: https://www.guru99.com/seq2seq-model.html" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "9LZiUMFARXJC", + "outputId": "4747edcf-b006-402a-85f0-b88d5efc4715" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "from transformers import AutoModelForSeq2SeqLM\n", - "\n", - "model = AutoModelForSeq2SeqLM.from_pretrained(model_checkpoint)" - ], - "metadata": { - "id": "y2xRjO7wtfmi" - }, - "execution_count": null, - "outputs": [] + "data": { + "text/plain": [ + "MarianMTModel(\n", + " (model): MarianModel(\n", + " (shared): Embedding(59514, 512, padding_idx=59513)\n", + " (encoder): MarianEncoder(\n", + " (embed_tokens): Embedding(59514, 512, padding_idx=59513)\n", + " (embed_positions): MarianSinusoidalPositionalEmbedding(512, 512)\n", + " (layers): ModuleList(\n", + " (0): MarianEncoderLayer(\n", + " (self_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", + " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", + " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " )\n", + " (1): MarianEncoderLayer(\n", + " (self_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", + " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", + " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " )\n", + " (2): MarianEncoderLayer(\n", + " (self_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", + " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", + " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " )\n", + " (3): MarianEncoderLayer(\n", + " (self_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", + " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", + " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " )\n", + " (4): MarianEncoderLayer(\n", + " (self_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", + " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", + " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " )\n", + " (5): MarianEncoderLayer(\n", + " (self_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", + " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", + " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " )\n", + " )\n", + " )\n", + " (decoder): MarianDecoder(\n", + " (embed_tokens): Embedding(59514, 512, padding_idx=59513)\n", + " (embed_positions): MarianSinusoidalPositionalEmbedding(512, 512)\n", + " (layers): ModuleList(\n", + " (0): MarianDecoderLayer(\n", + " (self_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (encoder_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (encoder_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", + " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", + " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " )\n", + " (1): MarianDecoderLayer(\n", + " (self_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (encoder_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (encoder_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", + " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", + " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " )\n", + " (2): MarianDecoderLayer(\n", + " (self_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (encoder_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (encoder_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", + " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", + " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " )\n", + " (3): MarianDecoderLayer(\n", + " (self_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (encoder_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (encoder_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", + " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", + " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " )\n", + " (4): MarianDecoderLayer(\n", + " (self_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (encoder_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (encoder_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", + " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", + " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " )\n", + " (5): MarianDecoderLayer(\n", + " (self_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (encoder_attn): MarianAttention(\n", + " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", + " )\n", + " (encoder_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", + " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", + " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (lm_head): Linear(in_features=512, out_features=59514, bias=False)\n", + ")" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "s_5adwiwNWWd" + }, + "source": [ + "# Goal ของ Seq2Seq\n", + "* รับ input ส่งเข้า Encoder แล้วอัดข้อมูลทุกอย่างให้เป็น S \n", + "* ความคาดหวังคือ \"S\" จะมี information สำหรับการทำนาย\n", + "* จากนั้น Decoder มีหน้าที่รับ S มาทำนาย\n", + "* ทำงานแบบ \"Order มีผลต่อผลลัพธ์\" (บทเรียนที่ 1 RNN) ทั้ง Encoder และ Decoder ทำงานเหมือนกัน (Sequence ทั้งต้นและปลาย)\n", + "* ตัว Decoder จะทำนายได้เรื่อยๆ จนกว่าทำนายจนเจอ token บอกให้หยุด (บางครั้งก็กำหนดได้ว่าจะหยุดเมื่อไหร่เช่น ทำนายแค่ 1 ครั้งพอ อารมณ์เดียวกับ next word prediction)\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HbR0_xzuASCi" + }, + "source": [ + "# ฟังก์ชั่นพิเศษ DataCollatorForSeq2Seq" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "8LpdvzmtuVNa" + }, + "outputs": [], + "source": [ + "from transformers import DataCollatorForSeq2Seq\n", + "\n", + "data_collator = DataCollatorForSeq2Seq(tokenizer, model=model)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "wBqtSd5VuXF8", + "outputId": "6b5e3bbb-c1eb-4985-c51b-ab338ff52ce8" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# อะไรคือ Seq2Seq?\n", - "![111318_0848_seq2seqSequ1.webp](data:image/webp;base64,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)\n", - "\n", - "from: https://www.guru99.com/seq2seq-model.html" - ], - "metadata": { - "id": "Q0ncfZng_uHK" - } + "data": { + "text/plain": [ + "dict_keys(['attention_mask', 'input_ids', 'labels', 'decoder_input_ids'])" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "batch = data_collator([tokenized_datasets[\"train\"][i] for i in range(1, 3)])\n", + "batch.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "xdsaW6dSPVPy", + "outputId": "798a2b7a-269e-475f-b48b-2bf993c42b97" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "model" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "9LZiUMFARXJC", - "outputId": "4747edcf-b006-402a-85f0-b88d5efc4715" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "MarianMTModel(\n", - " (model): MarianModel(\n", - " (shared): Embedding(59514, 512, padding_idx=59513)\n", - " (encoder): MarianEncoder(\n", - " (embed_tokens): Embedding(59514, 512, padding_idx=59513)\n", - " (embed_positions): MarianSinusoidalPositionalEmbedding(512, 512)\n", - " (layers): ModuleList(\n", - " (0): MarianEncoderLayer(\n", - " (self_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", - " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", - " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " )\n", - " (1): MarianEncoderLayer(\n", - " (self_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", - " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", - " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " )\n", - " (2): MarianEncoderLayer(\n", - " (self_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", - " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", - " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " )\n", - " (3): MarianEncoderLayer(\n", - " (self_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", - " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", - " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " )\n", - " (4): MarianEncoderLayer(\n", - " (self_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", - " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", - " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " )\n", - " (5): MarianEncoderLayer(\n", - " (self_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", - " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", - " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " )\n", - " )\n", - " )\n", - " (decoder): MarianDecoder(\n", - " (embed_tokens): Embedding(59514, 512, padding_idx=59513)\n", - " (embed_positions): MarianSinusoidalPositionalEmbedding(512, 512)\n", - " (layers): ModuleList(\n", - " (0): MarianDecoderLayer(\n", - " (self_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (encoder_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (encoder_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", - " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", - " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " )\n", - " (1): MarianDecoderLayer(\n", - " (self_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (encoder_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (encoder_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", - " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", - " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " )\n", - " (2): MarianDecoderLayer(\n", - " (self_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (encoder_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (encoder_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", - " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", - " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " )\n", - " (3): MarianDecoderLayer(\n", - " (self_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (encoder_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (encoder_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", - " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", - " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " )\n", - " (4): MarianDecoderLayer(\n", - " (self_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (encoder_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (encoder_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", - " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", - " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " )\n", - " (5): MarianDecoderLayer(\n", - " (self_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (self_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (encoder_attn): MarianAttention(\n", - " (k_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (v_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (q_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " (out_proj): Linear(in_features=512, out_features=512, bias=True)\n", - " )\n", - " (encoder_attn_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " (fc1): Linear(in_features=512, out_features=2048, bias=True)\n", - " (fc2): Linear(in_features=2048, out_features=512, bias=True)\n", - " (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (lm_head): Linear(in_features=512, out_features=59514, bias=False)\n", - ")" - ] - }, - "metadata": {}, - "execution_count": 56 - } + "data": { + "text/plain": [ + "tensor([47591, 12, 9842, 19634, 9, 0, 59513, 59513, 59513, 59513,\n", + " 59513, 59513, 59513, 59513, 59513])" ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "batch['input_ids'][0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "xDTDQYumPB7R", + "outputId": "a95b350d-ba94-4dc7-8fd7-448c7ee3f48a" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# Goal ของ Seq2Seq\n", - "* รับ input ส่งเข้า Encoder แล้วอัดข้อมูลทุกอย่างให้เป็น S \n", - "* ความคาดหวังคือ \"S\" จะมี information สำหรับการทำนาย\n", - "* จากนั้น Decoder มีหน้าที่รับ S มาทำนาย\n", - "* ทำงานแบบ \"Order มีผลต่อผลลัพธ์\" (บทเรียนที่ 1 RNN) ทั้ง Encoder และ Decoder ทำงานเหมือนกัน (Sequence ทั้งต้นและปลาย)\n", - "* ตัว Decoder จะทำนายได้เรื่อยๆ จนกว่าทำนายจนเจอ token บอกให้หยุด (บางครั้งก็กำหนดได้ว่าจะหยุดเมื่อไหร่เช่น ทำนายแค่ 1 ครั้งพอ อารมณ์เดียวกับ next word prediction)\n", - "\n" - ], - "metadata": { - "id": "s_5adwiwNWWd" - } + "data": { + "text/plain": [ + "['▁Default',\n", + " '▁to',\n", + " '▁expanded',\n", + " '▁thread',\n", + " 's',\n", + " '',\n", + " '',\n", + " '',\n", + " '',\n", + " '',\n", + " '',\n", + " '',\n", + " '',\n", + " '',\n", + " '']" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tokenizer.convert_ids_to_tokens(batch['input_ids'][0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "MI8R4KSePceV", + "outputId": "7f903a7f-c191-43a0-a895-2e721ae47ab8" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# ฟังก์ชั่นพิเศษ DataCollatorForSeq2Seq" - ], - "metadata": { - "id": "HbR0_xzuASCi" - } + "data": { + "text/plain": [ + "tensor([59513, 577, 5891, 2, 3184, 16, 2542, 5, 1710, 0,\n", + " 59513, 59513, 59513, 59513, 59513, 59513])" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "batch['decoder_input_ids'][0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "hi38MZw5O59o", + "outputId": "41539dbe-ea4f-4a4f-8ef3-4a26388fdee0" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "from transformers import DataCollatorForSeq2Seq\n", - "\n", - "data_collator = DataCollatorForSeq2Seq(tokenizer, model=model)" - ], - "metadata": { - "id": "8LpdvzmtuVNa" - }, - "execution_count": null, - "outputs": [] + "data": { + "text/plain": [ + "['',\n", + " '▁Par',\n", + " '▁défaut',\n", + " ',',\n", + " '▁développer',\n", + " '▁les',\n", + " '▁fils',\n", + " '▁de',\n", + " '▁discussion',\n", + " '',\n", + " '',\n", + " '',\n", + " '',\n", + " '',\n", + " '',\n", + " '']" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tokenizer.convert_ids_to_tokens(batch['decoder_input_ids'][0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "oug8l7qzubFz", + "outputId": "43456eaf-9f37-4d79-a8b5-dddb1ebaecd5" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "batch = data_collator([tokenized_datasets[\"train\"][i] for i in range(1, 3)])\n", - "batch.keys()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "wBqtSd5VuXF8", - "outputId": "6b5e3bbb-c1eb-4985-c51b-ab338ff52ce8" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "dict_keys(['attention_mask', 'input_ids', 'labels', 'decoder_input_ids'])" - ] - }, - "metadata": {}, - "execution_count": 33 - } + "data": { + "text/plain": [ + "tensor([[ 577, 5891, 2, 3184, 16, 2542, 5, 1710, 0, -100,\n", + " -100, -100, -100, -100, -100, -100],\n", + " [ 1211, 3, 49, 9409, 1211, 3, 29140, 817, 3124, 817,\n", + " 550, 7032, 5821, 7907, 12649, 0]])" ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "batch[\"labels\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "R8OoSDnCPhSr", + "outputId": "de16fc9a-d5b1-449b-c3fa-90e13f9f4be6" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "batch['input_ids'][0]" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "xdsaW6dSPVPy", - "outputId": "798a2b7a-269e-475f-b48b-2bf993c42b97" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "tensor([47591, 12, 9842, 19634, 9, 0, 59513, 59513, 59513, 59513,\n", - " 59513, 59513, 59513, 59513, 59513])" - ] - }, - "metadata": {}, - "execution_count": 42 - } + "data": { + "text/plain": [ + "['▁Par',\n", + " '▁défaut',\n", + " ',',\n", + " '▁développer',\n", + " '▁les',\n", + " '▁fils',\n", + " '▁de',\n", + " '▁discussion',\n", + " '',\n", + " '',\n", + " '',\n", + " '',\n", + " '',\n", + " '',\n", + " '',\n", + " '']" ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tokenizer.convert_ids_to_tokens(batch[\"labels\"][0])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "uN9iQGX2us0A" + }, + "source": [ + "# Input ของ Decoder\n", + "= เอา input ของ encoder มา right-shift หรือขยับไปด้านขวา 1 ช่อง เช่น \n", + "\n", + "\n", + "```\n", + "Encoder = \"ฉัน กิน ข้าว\"\n", + "Decoder = \" ฉัน กิน ข้าว \"\n", + "```\n", + "(จากรูปข้างบนก็จะเห็นว่ามีการใส่ NULL เข้ามา)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "3DFkLzEwvD8T" + }, + "source": [ + "# วิธีประเมินผลของโมเดล?\n", + "= ในงานการแปลภาษา เราจะใช้ \"BLEU score\" เป็นสกอร์ที่บอกว่าการแปลของเราใกล้เคียงกับเฉลยแค่ไหน โดยการเทียบ \"ชุดของคำ โดยนำมาจาก เฉลย & จากการทำนาย\" \n", + "\n", + "อ่านเพิ่มเติม: https://en.wikipedia.org/wiki/BLEU" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 49, + "referenced_widgets": [ + "18fb8662075548108c580734aaccaa91", + "4506bc967a3046d385741d2b10fdb481", + "42e155db84594edc879aad0bda23d4f8", + "48c0e31cb5bb44cd997aab5200f507f7", + "58e9966df30f4fdc889d1002fe4e0942", + "d1b74e8381464dc0b4e3f69968ef7bb5", + "23d7569bf0f84c3f80552d288a85cd5d", + "64faed36ef6f482db8ee89422894dcc8", + "8aefe058641448acbce3308a57d3559f", + "8ec54518ef8548e892c942264c57bea1", + "f2540c72bfd146d68f4e0b2fbad673ff" + ] }, + "id": "9Yh8bgLUusPh", + "outputId": "1c6eec20-ecea-413b-ab6e-d9541cfc0d22" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "tokenizer.convert_ids_to_tokens(batch['input_ids'][0])" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "xDTDQYumPB7R", - "outputId": "a95b350d-ba94-4dc7-8fd7-448c7ee3f48a" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "18fb8662075548108c580734aaccaa91", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "['▁Default',\n", - " '▁to',\n", - " '▁expanded',\n", - " '▁thread',\n", - " 's',\n", - " '',\n", - " '',\n", - " '',\n", - " '',\n", - " '',\n", - " '',\n", - " '',\n", - " '',\n", - " '',\n", - " '']" - ] - }, - "metadata": {}, - "execution_count": 41 - } + "text/plain": [ + "Downloading: 0%| | 0.00/2.37k [00:00',\n", - " '▁Par',\n", - " '▁défaut',\n", - " ',',\n", - " '▁développer',\n", - " '▁les',\n", - " '▁fils',\n", - " '▁de',\n", - " '▁discussion',\n", - " '',\n", - " '',\n", - " '',\n", - " '',\n", - " '',\n", - " '',\n", - " '']" - ] - }, - "metadata": {}, - "execution_count": 39 - } + "data": { + "text/plain": [ + "{'bp': 0.10539922456186433,\n", + " 'counts': [1, 0, 0, 0],\n", + " 'precisions': [25.0, 16.666666666666668, 12.5, 12.5],\n", + " 'ref_len': 13,\n", + " 'score': 1.683602693167689,\n", + " 'sys_len': 4,\n", + " 'totals': [4, 3, 2, 1]}" ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "predictions = [\"This This This This\"]\n", + "references = [\n", + " [\n", + " \"This plugin allows you to automatically translate web pages between several languages.\"\n", + " ]\n", + "]\n", + "metric.compute(predictions=predictions, references=references)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Hk6cThjyQPof" + }, + "source": [ + "# ตย. 3" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "_azmJ-YtQQLo", + "outputId": "760f0b34-73f1-4a52-ebcf-1045f49b1df5" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "batch[\"labels\"]" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "oug8l7qzubFz", - "outputId": "43456eaf-9f37-4d79-a8b5-dddb1ebaecd5" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "tensor([[ 577, 5891, 2, 3184, 16, 2542, 5, 1710, 0, -100,\n", - " -100, -100, -100, -100, -100, -100],\n", - " [ 1211, 3, 49, 9409, 1211, 3, 29140, 817, 3124, 817,\n", - " 550, 7032, 5821, 7907, 12649, 0]])" - ] - }, - "metadata": {}, - "execution_count": 19 - } + "data": { + "text/plain": [ + "{'bp': 0.20189651799465538,\n", + " 'counts': [5, 0, 0, 0],\n", + " 'precisions': [100.0, 12.5, 8.333333333333334, 6.25],\n", + " 'ref_len': 13,\n", + " 'score': 3.225009698600463,\n", + " 'sys_len': 5,\n", + " 'totals': [5, 4, 3, 2]}" ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "predictions = [\"plugin you web between languages\"]\n", + "references = [\n", + " [\n", + " \"This plugin allows you to automatically translate web pages between several languages.\"\n", + " ]\n", + "]\n", + "metric.compute(predictions=predictions, references=references)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "6u7sJDKKQhet" + }, + "source": [ + "# จุดอ่อนของ BP" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "TjDEAibbQg12", + "outputId": "c7440855-d7d7-45fa-a9df-4f5f9b4a0230" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "tokenizer.convert_ids_to_tokens(batch[\"labels\"][0])" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "R8OoSDnCPhSr", - "outputId": "de16fc9a-d5b1-449b-c3fa-90e13f9f4be6" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "['▁Par',\n", - " '▁défaut',\n", - " ',',\n", - " '▁développer',\n", - " '▁les',\n", - " '▁fils',\n", - " '▁de',\n", - " '▁discussion',\n", - " '',\n", - " '',\n", - " '',\n", - " '',\n", - " '',\n", - " '',\n", - " '',\n", - " '']" - ] - }, - "metadata": {}, - "execution_count": 45 - } + "data": { + "text/plain": [ + "{'bp': 0.8337529180751805,\n", + " 'counts': [11, 0, 0, 0],\n", + " 'precisions': [100.0, 5.0, 2.7777777777777777, 1.5625],\n", + " 'ref_len': 13,\n", + " 'score': 5.690615589954034,\n", + " 'sys_len': 11,\n", + " 'totals': [11, 10, 9, 8]}" ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "predictions = [\"to plugin translate several you web This between languages allows pages\"]\n", + "references = [\n", + " [\n", + " \"This plugin allows you to automatically translate web pages between several languages.\"\n", + " ]\n", + "]\n", + "metric.compute(predictions=predictions, references=references)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "VxMcCmxavWJE" + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "\n", + "def compute_metrics(eval_preds):\n", + " preds, labels = eval_preds\n", + " # In case the model returns more than the prediction logits\n", + " if isinstance(preds, tuple):\n", + " preds = preds[0]\n", + "\n", + " decoded_preds = tokenizer.batch_decode(preds, skip_special_tokens=True)\n", + " \n", + " # Replace -100s in the labels as we can't decode them\n", + " labels = np.where(labels != -100, labels, tokenizer.pad_token_id)\n", + " decoded_labels = tokenizer.batch_decode(labels, skip_special_tokens=True)\n", + "\n", + " # Some simple post-processing\n", + " decoded_preds = [pred.strip() for pred in decoded_preds]\n", + " decoded_labels = [[label.strip()] for label in decoded_labels]\n", + "\n", + " result = metric.compute(predictions=decoded_preds, references=decoded_labels)\n", + " return {\"bleu\": result[\"score\"]}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "1FVVSj6ovZBs" + }, + "outputs": [], + "source": [ + "from transformers import Seq2SeqTrainingArguments\n", + "\n", + "args = Seq2SeqTrainingArguments(\n", + " f\"marian-finetuned-kde4-en-to-fr\",\n", + " evaluation_strategy=\"no\",\n", + " save_strategy=\"epoch\",\n", + " learning_rate=2e-5,\n", + " per_device_train_batch_size=32,\n", + " per_device_eval_batch_size=64,\n", + " weight_decay=0.01,\n", + " save_total_limit=3,\n", + " num_train_epochs=1,\n", + " predict_with_generate=True,\n", + " fp16=True, # ถ้าใช้ GPU\n", + " push_to_hub=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 371, + "referenced_widgets": [ + "796e01c02a3b4212ad79baa36a3cb2fc", + "539bacd70e994f14a99dc0b3696276f5", + "eab5a0d9de3e49ce80fcb91979d39e38", + "5ccac5e06c9244c8a2ef005272bb5e81", + "ee5af792bc3a4537b703470284ee0adf", + "f88ab7e468f44d5898a4989cd3028276", + "c41393b0cb424c96ad389de7cf8c24f8", + "34fc21ec8e734e69b19c7e1f10133a2c", + "79f459fad2ec491580bf5ba1a74e843e", + "d188ab5c458442a7a09311df9be783b5", + "aeb64f9071ed47af842accac22ac4bce", + "2ca8dbe6c46e4bc5af2fa9bc2f07037f", + "90b363c94702406890a8307693a2368e", + "18e1514e056e43879be2c8cf14aa13c6", + "952038ed5c5d4e90b07ad43a0d73dfff", + 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"```\n", - "(จากรูปข้างบนก็จะเห็นว่ามีการใส่ NULL เข้ามา)\n", - "\n", - "\n" - ], - "metadata": { - "id": "uN9iQGX2us0A" - } + "name": "stderr", + "output_type": "stream", + "text": [ + "Cloning https://huggingface.co/mrp/marian-finetuned-kde4-en-to-fr into local empty directory.\n" + ] }, { - "cell_type": "markdown", - "source": [ - "# วิธีประเมินผลของโมเดล?\n", - "= ในงานการแปลภาษา เราจะใช้ \"BLEU score\" เป็นสกอร์ที่บอกว่าการแปลของเราใกล้เคียงกับเฉลยแค่ไหน โดยการเทียบ \"ชุดของคำ โดยนำมาจาก เฉลย & จากการทำนาย\" \n", - "\n", - "อ่านเพิ่มเติม: https://en.wikipedia.org/wiki/BLEU" - ], - "metadata": { - "id": "3DFkLzEwvD8T" - } + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "796e01c02a3b4212ad79baa36a3cb2fc", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Download file pytorch_model.bin: 0%| | 3.47k/285M [00:00\n", + " \n", + " \n", + " [329/329 21:25]\n", + " \n", + " " ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 371, - "referenced_widgets": [ - "796e01c02a3b4212ad79baa36a3cb2fc", - "539bacd70e994f14a99dc0b3696276f5", - "eab5a0d9de3e49ce80fcb91979d39e38", - "5ccac5e06c9244c8a2ef005272bb5e81", - "ee5af792bc3a4537b703470284ee0adf", - "f88ab7e468f44d5898a4989cd3028276", - "c41393b0cb424c96ad389de7cf8c24f8", - "34fc21ec8e734e69b19c7e1f10133a2c", - "79f459fad2ec491580bf5ba1a74e843e", - "d188ab5c458442a7a09311df9be783b5", - "aeb64f9071ed47af842accac22ac4bce", - "2ca8dbe6c46e4bc5af2fa9bc2f07037f", - "90b363c94702406890a8307693a2368e", - "18e1514e056e43879be2c8cf14aa13c6", - "952038ed5c5d4e90b07ad43a0d73dfff", - "d2db1b1f0cdb4765a1727f42f695ad29", - "eabb2594506f4a3f908b26dbf9bb7fdd", - "f7ec99dbc43843e79c29deac3b0185e7", - "d32bc9cd958e47219232d64dc1bec9da", - "b09cd5ffb7b143e68032cb883237b6a1", - "c15cc7e39ba54183b40f1818ffc9cc6f", - "ddda5716e55e40118f75e1eb82ad8740", - "c9463b7084ae4a42af7f34db75751b53", - "5c4adbf5bffe49d2a142f9aade08bd81", - 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" - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "Saving model checkpoint to marian-finetuned-kde4-en-to-fr/checkpoint-5912\n", - "Configuration saved in marian-finetuned-kde4-en-to-fr/checkpoint-5912/config.json\n", - "Model weights saved in marian-finetuned-kde4-en-to-fr/checkpoint-5912/pytorch_model.bin\n", - "tokenizer config file saved in marian-finetuned-kde4-en-to-fr/checkpoint-5912/tokenizer_config.json\n", - "Special tokens file saved in marian-finetuned-kde4-en-to-fr/checkpoint-5912/special_tokens_map.json\n", - "tokenizer config file saved in marian-finetuned-kde4-en-to-fr/tokenizer_config.json\n", - "Special tokens file saved in marian-finetuned-kde4-en-to-fr/special_tokens_map.json\n", - "\n", - "\n", - "Training completed. Do not forget to share your model on huggingface.co/models =)\n", - "\n", - "\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "TrainOutput(global_step=5912, training_loss=1.123947184850463, metrics={'train_runtime': 1246.3041, 'train_samples_per_second': 151.773, 'train_steps_per_second': 4.744, 'total_flos': 3773950253531136.0, 'train_loss': 1.123947184850463, 'epoch': 1.0})" - ] - }, - "metadata": {}, - "execution_count": 28 - } - ] + "name": "stderr", + "output_type": "stream", + "text": [ + "***** Running training *****\n", + " Num examples = 189155\n", + " Num Epochs = 1\n", + " Instantaneous batch size per device = 32\n", + " Total train batch size (w. parallel, distributed & accumulation) = 32\n", + " Gradient Accumulation steps = 1\n", + " Total optimization steps = 5912\n" + ] }, { - "cell_type": "code", - "source": [ - "trainer.evaluate(max_length=max_target_length) #จาก 39 => 50 !!" + "data": { + "text/html": [ + "\n", + "

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" ], - "metadata": { - "id": "7vkPzQ7wvnjk", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 203 - }, - "outputId": "264dd75a-5811-4b5c-a18f-604248b86039" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "***** Running Evaluation *****\n", - " Num examples = 21018\n", - " Batch size = 64\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - "

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satisfied: numpy>=1.17 in /usr/local/lib/python3.7/dist-packages (from accelerate==0.5.1) (1.21.6)\n", + "Requirement already satisfied: pyyaml in /usr/local/lib/python3.7/dist-packages (from accelerate==0.5.1) (6.0)\n", + "Requirement already satisfied: torch>=1.4.0 in /usr/local/lib/python3.7/dist-packages (from accelerate==0.5.1) (1.11.0+cu113)\n", + "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from torch>=1.4.0->accelerate==0.5.1) (4.2.0)\n", + "Installing collected packages: accelerate\n", + "Successfully installed accelerate-0.5.1\n", + "Reading package lists... Done\n", + "Building dependency tree \n", + "Reading state information... Done\n", + "git-lfs is already the newest version (2.3.4-1).\n", + "The following packages were automatically installed and are no longer required:\n", + " libnvidia-common-460 nsight-compute-2020.2.0\n", + "Use 'apt autoremove' to remove them.\n", + "0 upgraded, 0 newly installed, 0 to remove and 42 not upgraded.\n" + ] + } + ], + "source": [ + "!pip install datasets==1.17.0 transformers[sentencepiece]==4.34.0\n", + "!pip install accelerate==0.23.0\n", + "# To run the training on TPU, you will need to uncomment the followin line:\n", + "# !pip install cloud-tpu-client==0.10 torch==1.9.0 https://storage.googleapis.com/tpu-pytorch/wheels/torch_xla-1.9-cp37-cp37m-linux_x86_64.whl\n", + "!apt install git-lfs" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "pcCpxjyAVe04" + }, + "outputs": [], + "source": [ + "!git config --global user.email \"pingloaf@gmail.com\"\n", + "!git config --global user.name \"mrp\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 386, + "referenced_widgets": [ + "f869491ccdf0452d8c08fd7c3c733a4b", + "194ced9af63744b694b4ddb084c58ad8", + "cfba3d6618ac46bebaeb8df7d1e03594", + "5c12311ff5314fe4a8fc0fd1a3b1d105", + "51bf32ba8f86492d92c444cf53eee801", + "23a2b0f4511d46379b8be1c3d9a66044", + "9099de7e44c64f22a58bdd13544adb7a", + "4e85e43c5cbb4af89035776a0fb1ec13", + "a5a5f2e088d54883b963c1cf61c256c1", + "f3541d64bc974bdd94fb4c17385993b6", + "3c8ed563995045aca65ca6dc7a5ba301", + "0e7d99486b4e468a8249960d724891da", + "52d75d85e51c4d848f937c61479a96a8", + "1a4ce6c2b4d747088844d207a88df0ee", + "71c7915bd13242c5944144bbb15d4694", + "0ae8d72b71fb49ca8a6865912902498a", + "1eed784b30fa46f5ab6821804ae83e5c" + ] }, + "id": "6Ed5PyObVicw", + "outputId": "fe012092-ed9f-4216-beca-ef3d593e303a" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "!git config --global user.email \"pingloaf@gmail.com\"\n", - "!git config --global user.name \"mrp\"" - ], - "metadata": { - "id": "pcCpxjyAVe04" - }, - "execution_count": null, - "outputs": [] + "name": "stdout", + "output_type": "stream", + "text": [ + "Login successful\n", + "Your token has been saved to /root/.huggingface/token\n", + "\u001b[1m\u001b[31mAuthenticated through git-credential store but this isn't the helper defined on your machine.\n", + "You might have to re-authenticate when pushing to the Hugging Face Hub. Run the following command in your terminal in case you want to set this credential helper as the default\n", + "\n", + "git config --global credential.helper store\u001b[0m\n" + ] + } + ], + "source": [ + "from huggingface_hub import notebook_login\n", + "\n", + "notebook_login()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "_C8Tvy1dCPB4" + }, + "source": [ + "# โจทย์วันนี้: สร้างระบบถามตอบ!!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 295, + "referenced_widgets": [ + "5132bb9d83144b77b658cb43ddc40b84", + "a4cc52e4f149417fb6aafc795a959aab", + "68fdefaeb0714d0cac1c6d49b8539187", + "1c2a030852f64ab2abe68bd711132be7", + "dacfe335777e4c49a26fd821d6ac1891", + "4d4117446a4944eeb40fe873f5fd0f01", + "5f876684d11b48bb801c2f8805e7f4f9", + "d91309689d374767b6e7a54889716326", + "9f7a3b77098f45a8821da2f92e60d3b2", + "9e086b3f9d944e499164009f3c394a5a", + "6695e468851c481f9bb4843306063a19", + "03e2da364bac444b808044aea005c9b5", + "e37b8823f88a405a99ae17d4cefa8a2d", + "634bce6e01f54f05816c3f83b0e78ae3", + "7c7faa42b8404832b05adf95e7f4827e", + "cd67b92fa1e94a6d9952841571058821", + "87fb57226d9243ed979e9180b88355a0", + "3afd4460eb924cf8b06c5c87e129864b", + "33058edb420a4ffaa0cbe0189d811b96", + "2fe1d0514565418896e89b9cbc472cd5", + "39bcfbba7e86470299e62be21630ce87", + "2ceedb5f96a94b3a9e6dfbd42ed392d9", + "e24f3a45f6b6428d8217ac4756d524ee", + "b9393f80e31b4934addc282fda6830cb", + "b57ddde79f654995ad3da1f728183d77", + "1f83747d3c5d42a1a2e18bb28f4d2756", + "08875789e6d249d99d2bd4f5a8c4fb74", + "1905bc6fad95441680eb1cabe7578977", + "1d3538ed3489428c8dddf2c87f0204c8", + "61dc559a8f594d1680405ceb1a21686f", + "b2221a0e3fda43d499050d6b3e95c054", + "123c3eaae8ef4c7b9e218641bdf16060", + "67cb4a99b68f47c4b31e4f74bb2d8391", + "ac16e3d021d54df6b6e0a6d7e81375e7", + "74846b31e4804fb699f890bd8accbed9", + "b26dd9e933354b4895f2584dd514b24c", + "8c34bdeff6cf48cfae317eefe7cc96e6", + "6db8982018bf4876807f320c42eaafcf", + "7e19da80df3a4c0d9fff6512a2f17731", + "9a551ce8c4ac4d40a90409065c5912d5", + "f2ad150d51a941339b3771a1cbf6ab82", + "62b1cee15cec4638a7e39283404ba612", + "60fdccfe691a405cb4ef75361c9e1005", + "4da39a2e3100422aaf6a7a95c901ef4f", + "a48ea147021d47cba2dde8939a2bc364", + "2e01e822d8574496b86a8218693c935b", + "36cabcf365944306b488856c7e7c3e56", + "1e7e9b64836347729e80abd93485c8bb", + "fc83c5931b284be29af0c83508fa06dd", + "afba50deefa84388b3a29e0264ac8cea", + "9df4b281f5ce45d6b2fb15f3f38f5008", + "4cff6e9f453646ae8034b17dd6c8ba33", + "f46dca71d31440ca9e4342b6929dc241", + "93e1cb0e4a5148218a5e5a4dfcca4991", + "901d33034c6e4328819a1721257bc4e9", + "7eeeb3e0d3bc428aba6de68de8a6f460", + "c978458f695d496593f04240614b51c1", + "4726406b5bec4b698e3914b0ae0ae8b2", + "9e53536b4fb24e2e97a6a4319b48c8bd", + "6f69a3b0327e42e3a1aac9598fcf8198", + "a1eece1c26e14160a72773494a3e1f5c", + "0ad89b7a3fc24cbbbd528b4573d3c055", + "838eb78d38ca4e97ad5f619bab2e236d", + "ce948b46183b4ddf8304afecd4364fd7", + "35a43dd6e3654110bb3db32bc88929e7", + "514b2996e9da43dc9e0a7eee73059595", + "d98276b6fe8b4d2cbe90ce497c301cc1", + "d98941fe902344429f52c4acde801a62", + "9d9f74ffacd246098cf7f413021edcdb", + "dd94f5708eb54416bd5770c0a4a4190b", + "5777ab693f054df1ae9f7257a33937da", + "c943ff376b3645faa99beb5f57c3b6ee", + "fb1113becd43467c919ad04a5b992aa2", + "0ba2659a706547798c608a6ab5486664", + "62139934e35641c3922917a04c813604", + "a5541b4c9b0c46a0b79892836099660c", + "142f2947dbad42f1b5f4700fd86adf73", + "c2f46e8a9f0f41fbba68f9f6a11655d5", + "9505b44670ec4e70a59eecec6dbf785d", + "41f0785bdc354fbeb1752cae7f923a2e", + "d622eb798af54da8a28f5d504b493427", + "24dfe799d8564999a0e9cac6029d140f", + "7bf6b30531a047cbbe8c4ba4e5c789dd", + "32ea690dccd04fcc824aaa833991f546", + "7bcb1455a4ff41ddabcd2218e9b9157e", + "0596f2556c71459ca0784eb8697d9bbe", + "83cad46e140844aeb4fdac3683dcce19", + "09a0616364f041d183d33d9de3edf291", + "e550793feb9b4b57a9ef8f61ac168081", + "d263a60928dc4c49bd23be0385c40e0a", + "ddd351ef443c42f9823bc0780f09aac1", + "ed40d37ac22a4c97a77b0ec6aa5c8c55", + "22bd371354034421b8ade75450e4ff69", + "2e2888842fec446eb998e5046e222ca0", + "d4d1a3ef0de74e6586aa5f08bce8a0ac", + "ef0755361ba94bf8bc59cf7b07b106ef", + "588344c6b1a840b887be1c7a3016a18f", + "aec8d4d220c04511a09323748369e76c", + "489045a7dbbd4bc3b3379b3edf360778" + ] }, + "id": "Ae2wMDe5Vxx8", + "outputId": "838092e3-ddcf-49ca-b2ef-3cf8881428c5" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "from huggingface_hub import notebook_login\n", - "\n", - "notebook_login()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 386, - "referenced_widgets": [ - "f869491ccdf0452d8c08fd7c3c733a4b", - "194ced9af63744b694b4ddb084c58ad8", - "cfba3d6618ac46bebaeb8df7d1e03594", - "5c12311ff5314fe4a8fc0fd1a3b1d105", - "51bf32ba8f86492d92c444cf53eee801", - "23a2b0f4511d46379b8be1c3d9a66044", - "9099de7e44c64f22a58bdd13544adb7a", - "4e85e43c5cbb4af89035776a0fb1ec13", - "a5a5f2e088d54883b963c1cf61c256c1", - "f3541d64bc974bdd94fb4c17385993b6", - "3c8ed563995045aca65ca6dc7a5ba301", - "0e7d99486b4e468a8249960d724891da", - "52d75d85e51c4d848f937c61479a96a8", - "1a4ce6c2b4d747088844d207a88df0ee", - "71c7915bd13242c5944144bbb15d4694", - "0ae8d72b71fb49ca8a6865912902498a", - "1eed784b30fa46f5ab6821804ae83e5c" - ] - }, - "id": "6Ed5PyObVicw", - "outputId": "fe012092-ed9f-4216-beca-ef3d593e303a" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5132bb9d83144b77b658cb43ddc40b84", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Login successful\n", - "Your token has been saved to /root/.huggingface/token\n", - "\u001b[1m\u001b[31mAuthenticated through git-credential store but this isn't the helper defined on your machine.\n", - "You might have to re-authenticate when pushing to the Hugging Face Hub. Run the following command in your terminal in case you want to set this credential helper as the default\n", - "\n", - "git config --global credential.helper store\u001b[0m\n" - ] - } + "text/plain": [ + "Downloading: 0%| | 0.00/1.97k [00:00 end_char or offset[context_end][1] < start_char:\n", - " start_positions.append(0)\n", - " end_positions.append(0)\n", - " else:\n", - " # Otherwise it's the start and end token positions\n", - " idx = context_start\n", - " while idx <= context_end and offset[idx][0] <= start_char:\n", - " idx += 1\n", - " start_positions.append(idx - 1)\n", - "\n", - " idx = context_end\n", - " while idx >= context_start and offset[idx][1] >= end_char:\n", - " idx -= 1\n", - " end_positions.append(idx + 1)\n", - "\n", - "start_positions, end_positions # ตรงนี้จะเห็นว่า 83-85 เป็นตำแหน่งของคำตอบในก้อนแรกนั้นเอง!! " - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "9L_Xh6mBXMnf", - "outputId": "db48da32-2b83-4db7-d528-8da143b1e91a" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "69a7eae5e6474c06834d9ef4d73d6592", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "([83, 51, 19, 0, 0, 64, 27, 0, 34, 0, 0, 0, 67, 34, 0, 0, 0, 0, 0],\n", - " [85, 53, 21, 0, 0, 70, 33, 0, 40, 0, 0, 0, 68, 35, 0, 0, 0, 0, 0])" - ] - }, - "metadata": {}, - "execution_count": 10 - } + "text/plain": [ + "Downloading: 0%| | 0.00/570 [00:00 end_char or offset[context_end][1] < start_char:\n", - " start_positions.append(0)\n", - " end_positions.append(0)\n", - " else:\n", - " # Otherwise it's the start and end token positions\n", - " idx = context_start\n", - " while idx <= context_end and offset[idx][0] <= start_char:\n", - " idx += 1\n", - " start_positions.append(idx - 1)\n", - "\n", - " idx = context_end\n", - " while idx >= context_start and offset[idx][1] >= end_char:\n", - " idx -= 1\n", - " end_positions.append(idx + 1)\n", - "\n", - " inputs[\"start_positions\"] = start_positions\n", - " inputs[\"end_positions\"] = end_positions\n", - " return inputs" - ], - "metadata": { - "id": "NSqz3nhvX7yZ" - }, - "execution_count": null, - "outputs": [] + "name": "stdout", + "output_type": "stream", + "text": [ + "The 4 examples gave 19 features.\n", + "Here is where each comes from: [0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3].\n" + ] + } + ], + "source": [ + "inputs = tokenizer(\n", + " raw_datasets[\"train\"][2:6][\"question\"],\n", + " raw_datasets[\"train\"][2:6][\"context\"],\n", + " max_length=100,\n", + " truncation=\"only_second\",\n", + " stride=50,\n", + " return_overflowing_tokens=True,\n", + " return_offsets_mapping=True,\n", + ")\n", + "\n", + "print(f\"The 4 examples gave {len(inputs['input_ids'])} features.\")\n", + "print(f\"Here is where each comes from: {inputs['overflow_to_sample_mapping']}.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "j4ytwE4gIYQy" + }, + "source": [ + "จากตัวอย่างนี้จะเห็นว่า เราส่งให้ตัวตัดคำตัดไป 4 ประโยค เมื่อโดนแบ่งมาเรียบร้อยแล้ว ตัวตัดคำของเราจะบอกด้วยว่าก้อนไหนเป็นของประโยคไหน (ซึ่งแต่ละประโยคก็มีความยาวไม่เท่ากัน สังเกตุจากตัวเลขแต่ละประโยคแทบจะไม่เท่ากัน)\n", + "\n", + "จากนั้นเมื่อเรารู้ว่าก้อนไหนมาจากไหนแล้ว เราก็ทำการแมพคำตอบไปที่ก้อนนั้นๆได้ โดยหน้าตาของเฉลยของเราจะเป็น\n", + "* ถ้าก้อนไหนมีคำตอบ: (start_position, end_position) โดยที่ start จะเป็นตำแหน่งเริ่มต้นของคำที่เป็นคำตอบและ end จะเป็นตำแหน่งของคำสุดท้ายของคำตอบ\n", + "* ถ้าก้อนไหนไม่มีคำตอบ: (0,0) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "9L_Xh6mBXMnf", + "outputId": "db48da32-2b83-4db7-d528-8da143b1e91a" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "train_dataset = raw_datasets[\"train\"].map(\n", - " preprocess_training_examples,\n", - " batched=True,\n", - " remove_columns=raw_datasets[\"train\"].column_names,\n", - ")\n", - "len(raw_datasets[\"train\"]), len(train_dataset) # ทำการตัดคำทั้งหมดพร้อมทั้งแบ่งเป็นก้อนๆ" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 66, - "referenced_widgets": [ - "b6af511aa1e84c19b5cbd0c4091bf1f4", - "5fd7b78a16874179a1d48e06c22805aa", - "25b159f86c7d4a479f7b755c3581c542", - "f8ac6dd982184a67a3c4e9fc1738e503", - "bcf2eca059a4407eaa610a388476759d", - "df28ec21e3364b66a0df3e52ca7ae60f", - "ecbbb3c7aa004737bccc52e97aba8acb", - "ac62082f85bc4717b936c31e839696cb", - "c2645c058a7748199a19253cd88c89ae", - "60c60c25139445359b4b2f70ed79a8fa", - "c99ca5fe4a46494598fc92a4d57e7c89" - ] - }, - "id": "qH7WTVMwYNyW", - "outputId": "fbe52b38-5d6f-4e06-bbc3-ff45d7efe063" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - " 0%| | 0/88 [00:00 end_char or offset[context_end][1] < start_char:\n", + " start_positions.append(0)\n", + " end_positions.append(0)\n", + " else:\n", + " # Otherwise it's the start and end token positions\n", + " idx = context_start\n", + " while idx <= context_end and offset[idx][0] <= start_char:\n", + " idx += 1\n", + " start_positions.append(idx - 1)\n", + "\n", + " idx = context_end\n", + " while idx >= context_start and offset[idx][1] >= end_char:\n", + " idx -= 1\n", + " end_positions.append(idx + 1)\n", + "\n", + "start_positions, end_positions # ตรงนี้จะเห็นว่า 83-85 เป็นตำแหน่งของคำตอบในก้อนแรกนั้นเอง!! " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 89 }, + "id": "TL2me0mHZGpX", + "outputId": "971543d4-a102-4c8f-e012-15ded6ffa8bb" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "train_dataset" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "7N9IkvxeYQoO", - "outputId": "c5360236-9b85-4964-b520-df4946b0dbd8" + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "Dataset({\n", - " features: ['attention_mask', 'end_positions', 'input_ids', 'start_positions', 'token_type_ids'],\n", - " num_rows: 88729\n", - "})" - ] - }, - "metadata": {}, - "execution_count": 39 - } + "text/plain": [ + "'[CLS] The Basilica of the Sacred heart at Notre Dame is beside to which structure? [SEP] Architecturally, the school has a Catholic character. Atop the Main Building\\'s gold dome is a golden statue of the Virgin Mary. Immediately in front of the Main Building and facing it, is a copper statue of Christ with arms upraised with the legend \" Venite Ad Me Omnes \". Next to the Main Building is the Basilica of the Sacred Heart. Immediately behind the basi [SEP]'" ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tokenizer.decode(inputs['input_ids'][0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 }, + "id": "wytiN8WRZj_4", + "outputId": "4532815c-b45f-4eca-8e76-04e89951214f" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "def preprocess_validation_examples(examples):\n", - " questions = [q.strip() for q in examples[\"question\"]]\n", - " inputs = tokenizer(\n", - " questions,\n", - " examples[\"context\"],\n", - " max_length=max_length,\n", - " truncation=\"only_second\",\n", - " stride=stride,\n", - " return_overflowing_tokens=True,\n", - " return_offsets_mapping=True,\n", - " padding=\"max_length\",\n", - " )\n", - "\n", - " sample_map = inputs.pop(\"overflow_to_sample_mapping\")\n", - " example_ids = []\n", - "\n", - " for i in range(len(inputs[\"input_ids\"])):\n", - " sample_idx = sample_map[i]\n", - " example_ids.append(examples[\"id\"][sample_idx])\n", - "\n", - " sequence_ids = inputs.sequence_ids(i)\n", - " offset = inputs[\"offset_mapping\"][i]\n", - " inputs[\"offset_mapping\"][i] = [\n", - " o if sequence_ids[k] == 1 else None for k, o in enumerate(offset)\n", - " ]\n", - "\n", - " inputs[\"example_id\"] = example_ids\n", - " return inputs\n" - ], - "metadata": { - "id": "dNHmHN7XYUyC" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "validation_dataset = raw_datasets[\"validation\"].map(\n", - " preprocess_validation_examples,\n", - " batched=True,\n", - " remove_columns=raw_datasets[\"validation\"].column_names,\n", - ")\n", - "len(raw_datasets[\"validation\"]), len(validation_dataset)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 66, - "referenced_widgets": [ - "43add7bc73b54e888ab74cea553a0a0f", - "75847b0e9e054d8f9a02aabe02988ed7", - "d5b5f3d9e34243569ae67a09cf8a590a", - "4a51e99515fc4a2cbd37603163764cd0", - "9336b7cbf25948d4859c8bd1e240f056", - "869bb0fe3e6649eaaa1e56c6087cfc48", - "135e8dbad6ab49e384b48be77f56dd2d", - "ea72aa72d7254dd1b146d28f581e4a0d", - "76949710914b4f33875a792e4f12e0e5", - "c6aa0b6ebead4ed5a347a7fe1a4c188f", - "f1f33b0be73f4f22b2df4d262ca23492" - ] - }, - "id": "4iIecTdoZCnl", - "outputId": "9b928dd9-3892-4847-cfe3-3762a03b0cf9" + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" }, - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - " 0%| | 0/11 [00:00 end_char or offset[context_end][1] < start_char:\n", + " start_positions.append(0)\n", + " end_positions.append(0)\n", + " else:\n", + " # Otherwise it's the start and end token positions\n", + " idx = context_start\n", + " while idx <= context_end and offset[idx][0] <= start_char:\n", + " idx += 1\n", + " start_positions.append(idx - 1)\n", + "\n", + " idx = context_end\n", + " while idx >= context_start and offset[idx][1] >= end_char:\n", + " idx -= 1\n", + " end_positions.append(idx + 1)\n", + "\n", + " inputs[\"start_positions\"] = start_positions\n", + " inputs[\"end_positions\"] = end_positions\n", + " return inputs" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 66, + "referenced_widgets": [ + "b6af511aa1e84c19b5cbd0c4091bf1f4", + "5fd7b78a16874179a1d48e06c22805aa", + "25b159f86c7d4a479f7b755c3581c542", + "f8ac6dd982184a67a3c4e9fc1738e503", + "bcf2eca059a4407eaa610a388476759d", + "df28ec21e3364b66a0df3e52ca7ae60f", + "ecbbb3c7aa004737bccc52e97aba8acb", + "ac62082f85bc4717b936c31e839696cb", + "c2645c058a7748199a19253cd88c89ae", + "60c60c25139445359b4b2f70ed79a8fa", + "c99ca5fe4a46494598fc92a4d57e7c89" + ] }, + "id": "qH7WTVMwYNyW", + "outputId": "fbe52b38-5d6f-4e06-bbc3-ff45d7efe063" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "small_eval_set = raw_datasets[\"validation\"].select(range(100)) # ดาต้าขนาดเล็กก็พอแล้ว\n", - "trained_checkpoint = \"distilbert-base-cased-distilled-squad\" # โมเดลที่เทรนมาเรียบร้อยแล้ว\n", - "\n", - "tokenizer = AutoTokenizer.from_pretrained(trained_checkpoint)\n", - "eval_set = small_eval_set.map(\n", - " preprocess_validation_examples,\n", - " batched=True,\n", - " remove_columns=raw_datasets[\"validation\"].column_names,\n", - ")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 177, - "referenced_widgets": [ - "348ac4c06a8442328632b8b5bcc83ca6", - "805917cfefe1458d97b5ff88934e3c0f", - "a06ce98a55ea4811a9f17ec0940bf6f2", - "de31d2cffa134225b640803dc04e96cd", - "3e922d8d0b06423eab2a4b19f3a50cf4", - "a8f13a24a8f14f1aa64c8a78489e72ae", - "36db173ce0744a7683870a8bbb3a9e1b", - "080bf8bde99e44d5ae4b30800f48430f", - "5205c09171ec4183ba4324b8ee6f15ec", - "770089119c61441487a09c78e67e80fc", - "dc7f548644614a94b16f5add69f41c0c", - "cf1c9b85630b414291f48a366ae7bc27", - "b1b2204f30e946388f1ecfd45021f129", - "d092ae4bb71d4fd9836c5b50d155c814", - "a2f0098fee0541ebaf892f017a034e49", - "b00fbb52f8d040849ca9a0137a228fad", - "394021a199bf4cb794d957b13dc39e88", - "1cfc9922cedb4bffbb810f623006ca1e", - "47a2f36c9a394276813a272e9666be01", - "e96bc79f4ebc466881e5b190f507cc82", - "57b36c14e8894edd8e78d6472d57acf1", - "1d80db6e3f904e7b884cecb30658096f", - "8e3dadf9f62b40b29c204276c2f31f00", - "1f5667db09694ae6b56c88ebf7e5fc9e", - "e365dc57672246d98763d1b2fa358684", - "63c0802bc9aa49f0bf4d238fe01d3bad", - "1ded94bd507b423b9b3f84ac97426938", - "34381fff4747453990304924f9254923", - "9c89bd71512f49c9ba04c8fef72c5de5", - "e9c642aa747c4140b6353bcce21de8ab", - "c5db047d19a547dc822555765ec9c51c", - "9370a24c167341278b6814f5d96c65ee", - "a2e07b6cf4c24296accbe56897276530", - "9c18c38580804733b2fda2eca980754b", - "e3487a7f923d435988c9f2a1c54c461d", - "e193ed37c8244f9b9870a693db136ef0", - "bd31d98c0e6d4770a41301b6a8b4b525", - "4c5ad485c34a44ecab546b1bb245d2b8", - "2039f2b471c14d698d6a7f6041d37c4a", - "a6f6e0048f8f4b23a043629aad3bc88a", - "5425f4b81c2a45a9b8bab68e98347b02", - "16c5cf31b02d4b79ba40429a7b53ad93", - "5b0d936b686948eca9658469789cb315", - "37b4978c375e42f18037e0276d9ba0d3", - "28b6ad4089d4444786c507e6a3e50df2", - "c372c41e96fe4974b2d7b26c0254c47a", - "06868f9642e740eaa5d2207e0043ac72", - "2707a3297f684c89a0ad0875a8486e6c", - "1499b6f266594c45a67c8e7e399b908c", - "ef2200163aca413489f78f7cd27482c6", - "021297756af74f6c8c51d61a2544944e", - "0f69779cf1cd4956b3b012ca5d847c58", - "5b696858ec884604919c302beec72649", - "2cf31f419fa946919ac69a47d5ec4e78", - "b99d9ed43d4a4610bed71d24f2dcb0f5" - ] - }, - "id": "IqdRyLVzZEkr", - "outputId": "d83a9e2f-acde-46d1-8abe-963d49d067c2" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b6af511aa1e84c19b5cbd0c4091bf1f4", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "Downloading: 0%| | 0.00/29.0 [00:00 max_answer_length.\n", - " if (\n", - " end_index < start_index\n", - " or end_index - start_index + 1 > max_answer_length\n", - " ):\n", - " continue\n", - "\n", - " answers.append(\n", - " {\n", - " \"text\": context[offsets[start_index][0] : offsets[end_index][1]],\n", - " \"logit_score\": start_logit[start_index] + end_logit[end_index],\n", - " }\n", - " )\n", - "\n", - " best_answer = max(answers, key=lambda x: x[\"logit_score\"])\n", - " predicted_answers.append({\"id\": example_id, \"prediction_text\": best_answer[\"text\"]})" - ], - "metadata": { - "id": "RH6SDwSRbA7D" - }, - "execution_count": null, - "outputs": [] + "data": { + "text/plain": [ + "dict_keys(['attention_mask', 'example_id', 'input_ids', 'offset_mapping'])" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "eval_set[0].keys()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 178 }, + "id": "F4a32-YNcEu2", + "outputId": "c2a2b5f1-dbf0-4e5a-dbc7-710502b6d020" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "from datasets import load_metric\n", - "\n", - "metric = load_metric(\"squad\") # โหลด F1 กับ exact match มา\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 81, - "referenced_widgets": [ - "38423bd278be46cd9b6a9bb5becfc9e6", - "1998de04c0394379b72bc72a1baad69e", - "6e412015e1a5445385058677581b67cd", - "ce417e09f9624ca9811cffef4ae2e59f", - "9804d7dc9f004dd5a4c96f63866ae676", - "f7aec370e3e8400e8ec01ad664ae73c9", - "76269f4ad7024a6c8887bcaca00e8a81", - "8080ed612ac1491ca5d45fa972d1c1a9", - "1bfbf1458f7d416ea6cddd35b698fe3a", - "f376604499aa4ed5b83e99b6242e3035", - "03a571f7c71c4d6a8da43a7aee0990d5", - "6be125cb89e84d11bcb7aa21a0e22819", - "9666fe839f2a4a3193617e38ae148ab6", - "0e1d363065944806893fbe569c34d33f", - "22f55bfb49414df0b51b5c5795820e68", - "ea6a54ae0cf24fd4af6c996c19529555", - "661e1848301449ccb08d0c43d3f529d9", - "62f9e6b89766477689962c9fc569dd75", - "3b72961d9ba1401983410b5d765b3793", - "a33eb8e5773848be841bc6afe0de9755", - "92d15ea9172d409c865b1eb697130428", - "8da02d322de445eca1c51a72add2e972" - ] - }, - "id": "CJ6jBHjVbQhL", - "outputId": "a0023447-b0ac-46a1-883a-cdf635379627" + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" }, - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "Downloading: 0%| | 0.00/1.73k [00:00 max_answer_length.\n", + " if (\n", + " end_index < start_index\n", + " or end_index - start_index + 1 > max_answer_length\n", + " ):\n", + " continue\n", + "\n", + " answers.append(\n", + " {\n", + " \"text\": context[offsets[start_index][0] : offsets[end_index][1]],\n", + " \"logit_score\": start_logit[start_index] + end_logit[end_index],\n", + " }\n", + " )\n", + "\n", + " best_answer = max(answers, key=lambda x: x[\"logit_score\"])\n", + " predicted_answers.append({\"id\": example_id, \"prediction_text\": best_answer[\"text\"]})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "38423bd278be46cd9b6a9bb5becfc9e6", + "1998de04c0394379b72bc72a1baad69e", + "6e412015e1a5445385058677581b67cd", + "ce417e09f9624ca9811cffef4ae2e59f", + "9804d7dc9f004dd5a4c96f63866ae676", + "f7aec370e3e8400e8ec01ad664ae73c9", + "76269f4ad7024a6c8887bcaca00e8a81", + "8080ed612ac1491ca5d45fa972d1c1a9", + "1bfbf1458f7d416ea6cddd35b698fe3a", + "f376604499aa4ed5b83e99b6242e3035", + "03a571f7c71c4d6a8da43a7aee0990d5", + "6be125cb89e84d11bcb7aa21a0e22819", + "9666fe839f2a4a3193617e38ae148ab6", + "0e1d363065944806893fbe569c34d33f", + "22f55bfb49414df0b51b5c5795820e68", + "ea6a54ae0cf24fd4af6c996c19529555", + "661e1848301449ccb08d0c43d3f529d9", + "62f9e6b89766477689962c9fc569dd75", + "3b72961d9ba1401983410b5d765b3793", + "a33eb8e5773848be841bc6afe0de9755", + "92d15ea9172d409c865b1eb697130428", + "8da02d322de445eca1c51a72add2e972" + ] }, + "id": "CJ6jBHjVbQhL", + "outputId": "a0023447-b0ac-46a1-883a-cdf635379627" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "from tqdm.auto import tqdm\n", - "\n", - "\n", - "def compute_metrics(start_logits, end_logits, features, examples):\n", - " example_to_features = collections.defaultdict(list)\n", - " for idx, feature in enumerate(features):\n", - " example_to_features[feature[\"example_id\"]].append(idx)\n", - "\n", - " predicted_answers = []\n", - " for example in tqdm(examples):\n", - " example_id = example[\"id\"]\n", - " context = example[\"context\"]\n", - " answers = []\n", - "\n", - " # Loop through all features associated with that example\n", - " for feature_index in example_to_features[example_id]:\n", - " start_logit = start_logits[feature_index]\n", - " end_logit = end_logits[feature_index]\n", - " offsets = features[feature_index][\"offset_mapping\"]\n", - "\n", - " start_indexes = np.argsort(start_logit)[-1 : -n_best - 1 : -1].tolist()\n", - " end_indexes = np.argsort(end_logit)[-1 : -n_best - 1 : -1].tolist()\n", - " for start_index in start_indexes:\n", - " for end_index in end_indexes:\n", - " # Skip answers that are not fully in the context\n", - " if offsets[start_index] is None or offsets[end_index] is None:\n", - " continue\n", - " # Skip answers with a length that is either < 0 or > max_answer_length\n", - " if (\n", - " end_index < start_index\n", - " or end_index - start_index + 1 > max_answer_length\n", - " ):\n", - " continue\n", - "\n", - " answer = {\n", - " \"text\": context[offsets[start_index][0] : offsets[end_index][1]],\n", - " \"logit_score\": start_logit[start_index] + end_logit[end_index],\n", - " }\n", - " answers.append(answer)\n", - "\n", - " # Select the answer with the best score\n", - " if len(answers) > 0:\n", - " best_answer = max(answers, key=lambda x: x[\"logit_score\"])\n", - " predicted_answers.append(\n", - " {\"id\": example_id, \"prediction_text\": best_answer[\"text\"]}\n", - " )\n", - " else:\n", - " predicted_answers.append({\"id\": example_id, \"prediction_text\": \"\"})\n", - "\n", - " theoretical_answers = [{\"id\": ex[\"id\"], \"answers\": ex[\"answers\"]} for ex in examples]\n", - " return metric.compute(predictions=predicted_answers, references=theoretical_answers)" - ], - "metadata": { - "id": "MfNwXwnXbYUS" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "38423bd278be46cd9b6a9bb5becfc9e6", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [] + "text/plain": [ + "Downloading: 0%| | 0.00/1.73k [00:00 max_answer_length\n", + " if (\n", + " end_index < start_index\n", + " or end_index - start_index + 1 > max_answer_length\n", + " ):\n", + " continue\n", + "\n", + " answer = {\n", + " \"text\": context[offsets[start_index][0] : offsets[end_index][1]],\n", + " \"logit_score\": start_logit[start_index] + end_logit[end_index],\n", + " }\n", + " answers.append(answer)\n", + "\n", + " # Select the answer with the best score\n", + " if len(answers) > 0:\n", + " best_answer = max(answers, key=lambda x: x[\"logit_score\"])\n", + " predicted_answers.append(\n", + " {\"id\": example_id, \"prediction_text\": best_answer[\"text\"]}\n", + " )\n", + " else:\n", + " predicted_answers.append({\"id\": example_id, \"prediction_text\": \"\"})\n", + "\n", + " theoretical_answers = [{\"id\": ex[\"id\"], \"answers\": ex[\"answers\"]} for ex in examples]\n", + " return metric.compute(predictions=predicted_answers, references=theoretical_answers)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 66, + "referenced_widgets": [ + "8f477775a9eb4221bf7c355f7842ccf7", + "4a9d0d090f434ab6921f99d71bd82a92", + "9f5f3a25e3474a719b082b986fc38e68", + "7a8f03b53a7d4ba9895056e45281acf3", + "76176fd5f3794bdd917ed8d4ff7fcb52", + "45d39bb75f214f1195c603abb7228299", + "fdf2b24bf634468180ecc75dfd410271", + "b1de22b9b0f6426883e8ef1cbd45c621", + "74f5390f4a834823980dd9951093c3a0", + "066513f04c7a4476ab4219e6fca47fe7", + "b10f288f78c848a39e8c75256c164282" + ] }, + "id": "73h2LCjybeLi", + "outputId": "c99d280f-84a8-45bb-afd1-8205ac0b33a8" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "model" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "O681IqjKctfU", - "outputId": "5b5b5e55-9a49-4701-a347-c3440e22c5d3" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8f477775a9eb4221bf7c355f7842ccf7", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "BertForQuestionAnswering(\n", - " (bert): BertModel(\n", - " (embeddings): BertEmbeddings(\n", - " (word_embeddings): Embedding(28996, 768, padding_idx=0)\n", - " (position_embeddings): Embedding(512, 768)\n", - " (token_type_embeddings): Embedding(2, 768)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " (encoder): BertEncoder(\n", - " (layer): ModuleList(\n", - " (0): BertLayer(\n", - " (attention): BertAttention(\n", - " (self): BertSelfAttention(\n", - " (query): Linear(in_features=768, out_features=768, bias=True)\n", - " (key): Linear(in_features=768, out_features=768, bias=True)\n", - " (value): Linear(in_features=768, out_features=768, bias=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " (output): BertSelfOutput(\n", - " (dense): Linear(in_features=768, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (intermediate): BertIntermediate(\n", - " (dense): Linear(in_features=768, out_features=3072, bias=True)\n", - " )\n", - " (output): BertOutput(\n", - " (dense): Linear(in_features=3072, out_features=768, bias=True)\n", - " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.1, inplace=False)\n", - " )\n", - " )\n", - " (1): BertLayer(\n", - " (attention): BertAttention(\n", - " (self): BertSelfAttention(\n", - " (query): Linear(in_features=768, out_features=768, bias=True)\n", - 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StepTraining Loss
5002.606100
10001.601400
15001.459000
20001.366100
25001.296400
30001.223800
35001.251100
40001.206600
45001.195000
50001.122000
55001.105000
60001.131600
65001.074200
70001.131500
75001.126000
80001.089700
85001.025200
90001.077200
95001.045100
100001.030600
105001.017700
110001.039600

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "Saving model checkpoint to bert-finetuned-squad/checkpoint-11092\n", - "Configuration saved in bert-finetuned-squad/checkpoint-11092/config.json\n", - "Model weights saved in bert-finetuned-squad/checkpoint-11092/pytorch_model.bin\n", - "tokenizer config file saved in bert-finetuned-squad/checkpoint-11092/tokenizer_config.json\n", - "Special tokens file saved in bert-finetuned-squad/checkpoint-11092/special_tokens_map.json\n", - "tokenizer config file saved in bert-finetuned-squad/tokenizer_config.json\n", - "Special tokens file saved in bert-finetuned-squad/special_tokens_map.json\n", - "\n", - "\n", - "Training completed. Do not forget to share your model on huggingface.co/models =)\n", - "\n", - "\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "TrainOutput(global_step=11092, training_loss=1.2349410485241157, metrics={'train_runtime': 2906.4467, 'train_samples_per_second': 30.528, 'train_steps_per_second': 3.816, 'total_flos': 1.7388449946321408e+16, 'train_loss': 1.2349410485241157, 'epoch': 1.0})" - ] - }, - "metadata": {}, - "execution_count": 43 - } + "text/plain": [ + "Downloading: 0%| | 0.00/416M [00:00 main\n", - "\n", - "Dropping the following result as it does not have all the necessary fields:\n", - "{'task': {'name': 'Question Answering', 'type': 'question-answering'}, 'dataset': {'name': 'squad', 'type': 'squad', 'args': 'plain_text'}}\n", - "To https://huggingface.co/mrp/bert-finetuned-squad\n", - " fa61df7..0ed7636 main -> main\n", - "\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "application/vnd.google.colaboratory.intrinsic+json": { - "type": "string" - }, - "text/plain": [ - "'https://huggingface.co/mrp/bert-finetuned-squad/commit/fa61df7b8d12697f679620b8e1dce78b72f657d0'" - ] - }, - "metadata": {}, - "execution_count": 45 - } - ] + "name": "stderr", + "output_type": "stream", + "text": [ + "Some weights of the model checkpoint at bert-base-cased were not used when initializing BertForQuestionAnswering: ['cls.predictions.transform.dense.bias', 'cls.seq_relationship.bias', 'cls.predictions.bias', 'cls.seq_relationship.weight', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.decoder.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.dense.weight']\n", + "- This IS expected if you are initializing BertForQuestionAnswering from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", + "- This IS NOT expected if you are initializing BertForQuestionAnswering from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", + "Some weights of BertForQuestionAnswering were not initialized from the model checkpoint at bert-base-cased and are newly initialized: ['qa_outputs.bias', 'qa_outputs.weight']\n", + "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n" + ] + } + ], + "source": [ + "model = AutoModelForQuestionAnswering.from_pretrained(model_checkpoint)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "O681IqjKctfU", + "outputId": "5b5b5e55-9a49-4701-a347-c3440e22c5d3" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "from transformers import pipeline\n", - "\n", - "# Replace this with your own checkpoint\n", - "model_checkpoint = \"mrp/bert-finetuned-squad\"\n", - "question_answerer = pipeline(\"question-answering\", model=model_checkpoint)\n", - "\n", - "context = \"\"\"\n", - "🤗 Transformers is backed by the three most popular deep learning libraries — Jax, PyTorch and TensorFlow — with a seamless integration\n", - "between them. It's straightforward to train your models with one before loading them for inference with the other.\n", - "\"\"\"\n", - "question = \"Which deep learning libraries back 🤗 Transformers?\"\n", - "question_answerer(question=question, context=context)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "DF069dHVbx0C", - "outputId": "d40f31ed-677b-4456-c064-c36f2552e879" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "loading configuration file https://huggingface.co/mrp/bert-finetuned-squad/resolve/main/config.json from cache at /root/.cache/huggingface/transformers/463982a8b5ededbbdbd86cbaa84429f78ec71b9b3b212e2205c7cb3c0c08a6e8.029851dbc32bfad1ff275a0602b1e48b1982cef103a3a47181b98f219f636a88\n", - "Model config BertConfig {\n", - " \"_name_or_path\": \"mrp/bert-finetuned-squad\",\n", - " \"architectures\": [\n", - " \"BertForQuestionAnswering\"\n", - " ],\n", - " \"attention_probs_dropout_prob\": 0.1,\n", - " \"classifier_dropout\": null,\n", - " \"gradient_checkpointing\": false,\n", - " \"hidden_act\": \"gelu\",\n", - " \"hidden_dropout_prob\": 0.1,\n", - " \"hidden_size\": 768,\n", - " \"initializer_range\": 0.02,\n", - " \"intermediate_size\": 3072,\n", - " \"layer_norm_eps\": 1e-12,\n", - " \"max_position_embeddings\": 512,\n", - " \"model_type\": \"bert\",\n", - " \"num_attention_heads\": 12,\n", - " \"num_hidden_layers\": 12,\n", - " \"pad_token_id\": 0,\n", - " \"position_embedding_type\": \"absolute\",\n", - " \"torch_dtype\": \"float32\",\n", - " \"transformers_version\": \"4.15.0\",\n", - " \"type_vocab_size\": 2,\n", - " \"use_cache\": true,\n", - " \"vocab_size\": 28996\n", - "}\n", - "\n", - "loading configuration file https://huggingface.co/mrp/bert-finetuned-squad/resolve/main/config.json from cache at /root/.cache/huggingface/transformers/463982a8b5ededbbdbd86cbaa84429f78ec71b9b3b212e2205c7cb3c0c08a6e8.029851dbc32bfad1ff275a0602b1e48b1982cef103a3a47181b98f219f636a88\n", - "Model config BertConfig {\n", - " \"_name_or_path\": \"mrp/bert-finetuned-squad\",\n", - " \"architectures\": [\n", - " \"BertForQuestionAnswering\"\n", - " ],\n", - " \"attention_probs_dropout_prob\": 0.1,\n", - " \"classifier_dropout\": null,\n", - " \"gradient_checkpointing\": false,\n", - " \"hidden_act\": \"gelu\",\n", - " \"hidden_dropout_prob\": 0.1,\n", - " \"hidden_size\": 768,\n", - " \"initializer_range\": 0.02,\n", - " \"intermediate_size\": 3072,\n", - " \"layer_norm_eps\": 1e-12,\n", - " \"max_position_embeddings\": 512,\n", - " \"model_type\": \"bert\",\n", - " \"num_attention_heads\": 12,\n", - " \"num_hidden_layers\": 12,\n", - " \"pad_token_id\": 0,\n", - " \"position_embedding_type\": \"absolute\",\n", - " \"torch_dtype\": \"float32\",\n", - " \"transformers_version\": \"4.15.0\",\n", - " \"type_vocab_size\": 2,\n", - " \"use_cache\": true,\n", - " \"vocab_size\": 28996\n", - "}\n", - "\n", - "loading weights file https://huggingface.co/mrp/bert-finetuned-squad/resolve/main/pytorch_model.bin from cache at /root/.cache/huggingface/transformers/1109e69de3611ad0a28e5e2e0992c3c08a6ffee4d01a2395b3e449a37fdb51ee.575b95a92b1d92c587e9cbd4d00c7198fa7f2050c296db02c56837d0062ce66d\n", - "All model checkpoint weights were used when initializing BertForQuestionAnswering.\n", - "\n", - "All the weights of BertForQuestionAnswering were initialized from the model checkpoint at mrp/bert-finetuned-squad.\n", - "If your task is similar to the task the model of the checkpoint was trained on, you can already use BertForQuestionAnswering for predictions without further training.\n", - "loading file https://huggingface.co/mrp/bert-finetuned-squad/resolve/main/vocab.txt from cache at /root/.cache/huggingface/transformers/77e316a08cf3a82780962c6e2cb180dbcd5bfc99bb305ec697e8accd8c1f630a.437aa611e89f6fc6675a049d2b5545390adbc617e7d655286421c191d2be2791\n", - "loading file https://huggingface.co/mrp/bert-finetuned-squad/resolve/main/tokenizer.json from cache at /root/.cache/huggingface/transformers/dc496a59482b4ac66d59ad0308d4a3051a89ca2b6db6255c1f505df43d0aa4fc.1f9d100b22551a7009fb51f1fadb9158af5db04f4c188aceecaa745a1917c983\n", - "loading file https://huggingface.co/mrp/bert-finetuned-squad/resolve/main/added_tokens.json from cache at None\n", - "loading file https://huggingface.co/mrp/bert-finetuned-squad/resolve/main/special_tokens_map.json from cache at /root/.cache/huggingface/transformers/fb384d6d6e936515770a19159740bd28722789eee874d0e6363279ab63ed6df5.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d\n", - "loading file https://huggingface.co/mrp/bert-finetuned-squad/resolve/main/tokenizer_config.json from cache at 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BertSelfAttention(\n", + " (query): Linear(in_features=768, out_features=768, bias=True)\n", + " (key): Linear(in_features=768, out_features=768, bias=True)\n", + " (value): Linear(in_features=768, out_features=768, bias=True)\n", + " (dropout): Dropout(p=0.1, inplace=False)\n", + " )\n", + " (output): BertSelfOutput(\n", + " (dense): Linear(in_features=768, out_features=768, bias=True)\n", + " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", + " (dropout): Dropout(p=0.1, inplace=False)\n", + " )\n", + " )\n", + " (intermediate): BertIntermediate(\n", + " (dense): Linear(in_features=768, out_features=3072, bias=True)\n", + " )\n", + " (output): BertOutput(\n", + " (dense): Linear(in_features=3072, out_features=768, bias=True)\n", + " (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n", + " (dropout): Dropout(p=0.1, inplace=False)\n", + " )\n", + " )\n", + " (1): BertLayer(\n", + " (attention): BertAttention(\n", + " (self): BertSelfAttention(\n", 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"execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "5N9dYbZ7bn4E" + }, + "outputs": [], + "source": [ + "from transformers import TrainingArguments\n", + "\n", + "args = TrainingArguments(\n", + " \"bert-finetuned-squad\",\n", + " evaluation_strategy=\"no\",\n", + " save_strategy=\"epoch\",\n", + " learning_rate=2e-5,\n", + " num_train_epochs=1,\n", + " weight_decay=0.01,\n", + " fp16=True,\n", + " push_to_hub=True,\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 }, + "id": "SdpRFeRwbsru", + "outputId": "6fd20dac-d7f9-4b69-825d-d1557d357dac" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# โจทย์พิเศษ: Question-Asnwering ภาษาไทย\n", - "โดยจะต้องเติมโค้ดลงในช่องว่างให้ถูกต้อง หากทำถูกก็จะแสดงผลเหมือนกับตัวอย่างที่แสดง" - ], - "metadata": { - "id": "sw5Hv2-k0W55" - } + "name": "stderr", + "output_type": "stream", + "text": [ + "/content/bert-finetuned-squad is already a clone of https://huggingface.co/mrp/bert-finetuned-squad. Make sure you pull the latest changes with `repo.git_pull()`.\n", + "Using amp half precision backend\n", + "***** Running training *****\n", + " Num examples = 88729\n", + " Num Epochs = 1\n", + " Instantaneous batch size per device = 8\n", + " Total train batch size (w. parallel, distributed & accumulation) = 8\n", + " Gradient Accumulation steps = 1\n", + " Total optimization steps = 11092\n" + ] }, { - "cell_type": "code", - "source": [ - "!pip -q install -Uqq datasets pythainlp==2.2.4 transformers==4.4.0 tensorflow==2.4.0 tensorflow_text emoji seqeval sentencepiece fuzzywuzzy\n", - "!npx degit --force https://github.com/vistec-AI/thai2transformers#dev" + "data": { + "text/html": [ + "\n", + "

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StepTraining Loss
5002.606100
10001.601400
15001.459000
20001.366100
25001.296400
30001.223800
35001.251100
40001.206600
45001.195000
50001.122000
55001.105000
60001.131600
65001.074200
70001.131500
75001.126000
80001.089700
85001.025200
90001.077200
95001.045100
100001.030600
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" ], - "metadata": { - "id": "xCLg2MpEb4D3", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "26ed07d4-a992-4dc7-ddcb-ed08094bb53a" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\u001b[K |████████████████████████████████| 325 kB 11.8 MB/s \n", - "\u001b[K |████████████████████████████████| 8.9 MB 33.5 MB/s \n", - "\u001b[K |████████████████████████████████| 2.1 MB 25.9 MB/s \n", - "\u001b[K |████████████████████████████████| 394.7 MB 18 kB/s \n", - "\u001b[K |████████████████████████████████| 4.9 MB 36.3 MB/s \n", - "\u001b[K |████████████████████████████████| 175 kB 49.0 MB/s \n", - "\u001b[K |████████████████████████████████| 43 kB 2.0 MB/s \n", - "\u001b[K |████████████████████████████████| 1.2 MB 41.0 MB/s \n", - "\u001b[K |████████████████████████████████| 965 kB 41.7 MB/s \n", - "\u001b[K |████████████████████████████████| 3.3 MB 35.1 MB/s \n", - "\u001b[K |████████████████████████████████| 895 kB 45.6 MB/s \n", - "\u001b[K |████████████████████████████████| 3.8 MB 33.6 MB/s \n", - "\u001b[K |████████████████████████████████| 2.9 MB 34.7 MB/s \n", - "\u001b[K |████████████████████████████████| 462 kB 38.0 MB/s \n", - "\u001b[K |████████████████████████████████| 132 kB 51.7 MB/s \n", - "\u001b[K |████████████████████████████████| 14.8 MB 35.3 MB/s \n", - "\u001b[K |████████████████████████████████| 1.1 MB 45.5 MB/s \n", - "\u001b[K |████████████████████████████████| 67 kB 5.6 MB/s \n", - "\u001b[K |████████████████████████████████| 136 kB 46.3 MB/s \n", - "\u001b[K |████████████████████████████████| 212 kB 50.1 MB/s \n", - "\u001b[K |████████████████████████████████| 127 kB 50.3 MB/s \n", - "\u001b[K |████████████████████████████████| 4.9 MB 37.9 MB/s \n", - "\u001b[K |████████████████████████████████| 4.9 MB 45.1 MB/s \n", - "\u001b[K |████████████████████████████████| 4.4 MB 30.0 MB/s \n", - "\u001b[K |████████████████████████████████| 4.3 MB 34.6 MB/s \n", - "\u001b[K |████████████████████████████████| 3.4 MB 38.6 MB/s \n", - "\u001b[K |████████████████████████████████| 94 kB 3.7 MB/s \n", - "\u001b[K |████████████████████████████████| 144 kB 44.5 MB/s \n", - "\u001b[K |████████████████████████████████| 271 kB 48.0 MB/s \n", - "\u001b[?25h Building wheel for wrapt (setup.py) ... \u001b[?25l\u001b[?25hdone\n", - " Building wheel for emoji (setup.py) ... \u001b[?25l\u001b[?25hdone\n", - " Building wheel for seqeval (setup.py) ... \u001b[?25l\u001b[?25hdone\n", - "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", - "datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\n", - "albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible.\u001b[0m\n", - "\u001b[K\u001b[?25hnpx: installed 1 in 2.71s\n", - "\u001b[36m> destination directory is not empty. Using --force, continuing\u001b[39m\n", - "\u001b[36m> cloned \u001b[1mvistec-AI/thai2transformers\u001b[22m#\u001b[1mdev\u001b[22m\u001b[39m\n" - ] - } + "text/plain": [ + "" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "code", - "source": [ - "%load_ext autoreload\n", - "%autoreload 2\n", - "\n", - "import pythainlp, transformers\n", - "pythainlp.__version__, transformers.__version__ #fix pythainlp to stabilize word tokenization for metrics" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "ejf23e2u0rPW", - "outputId": "e1613f8a-ec45-467c-ece0-133bda09ee50" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "('2.2.4', '4.4.0')" - ] - }, - "metadata": {}, - "execution_count": 2 - } + "name": "stderr", + "output_type": "stream", + "text": [ + "Saving model checkpoint to bert-finetuned-squad/checkpoint-11092\n", + "Configuration saved in bert-finetuned-squad/checkpoint-11092/config.json\n", + "Model weights saved in bert-finetuned-squad/checkpoint-11092/pytorch_model.bin\n", + "tokenizer config file saved in bert-finetuned-squad/checkpoint-11092/tokenizer_config.json\n", + "Special tokens file saved in bert-finetuned-squad/checkpoint-11092/special_tokens_map.json\n", + "tokenizer config file saved in bert-finetuned-squad/tokenizer_config.json\n", + "Special tokens file saved in bert-finetuned-squad/special_tokens_map.json\n", + "\n", + "\n", + "Training completed. Do not forget to share your model on huggingface.co/models =)\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/plain": [ + "TrainOutput(global_step=11092, training_loss=1.2349410485241157, metrics={'train_runtime': 2906.4467, 'train_samples_per_second': 30.528, 'train_steps_per_second': 3.816, 'total_flos': 1.7388449946321408e+16, 'train_loss': 1.2349410485241157, 'epoch': 1.0})" ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from transformers import Trainer\n", + "\n", + "trainer = Trainer(\n", + " model=model,\n", + " args=args,\n", + " train_dataset=train_dataset,\n", + " eval_dataset=validation_dataset,\n", + " tokenizer=tokenizer,\n", + " compute_metrics=compute_metrics,\n", + ")\n", + "trainer.train()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 376, + "referenced_widgets": [ + "3ce6fd1225da484c9bb5e6fe9b7aff3a", + "f3e7a2ac2aeb43da86bfa2c1eb8ab498", + "1d8df9b7a82c4f169ffdafb7c1eacf3b", + "85b5d035fc004e9c9620c75b7cde2361", + "bd8160e0d5aa4bde83f3dae1fd72353e", + "cf6b0cfcd88e446d86c401de1336ea10", + "01344e90d2c24b8682cbf2809e6e210d", + "6b2016e3a91a4db39311778b87e7faa9", + "b80488cefcb546faa05b7b9cbe43f5ef", + "a818adc711324c8484e0275e18619fda", + "711a48378ef94d5aa088926eedba15be", + "5859c8bb578f48bb82376a021ca908da", + "9c781b0c16b54f5ea2f12a9f94cb7f6d", + "d95726a0529f44ba967c68a1deba66a1", + "d3d1791f0430479e9f765eda9b1e622b", + "a28d18f475e44d98bcfecfe01749c0bb", + "6f6b7c39ebbc43c9a1f096dbcaee9e64", + "95ea4aaa6f1e46349abda71324c9b772", + "de71105940074d6d9d3cc5b6f9e323e3", + "543205c4ff7a4e8c827fd4b1fde93e1e", + "553228334c7d4731b587a247c533ee24", + "186a00ab1ee34253b8d7330401aac8c7" + ] }, + "id": "bC0eb-8ibwmf", + "outputId": "de020464-f0b4-4b84-922a-6c2af9265ad5" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "import collections\n", - "import logging\n", - "import pprint\n", - "import re\n", - "from tqdm.auto import tqdm\n", - "\n", - "import numpy as np\n", - "import torch\n", - "\n", - "#datasets\n", - "from datasets import (\n", - " load_dataset, \n", - " load_metric, \n", - " concatenate_datasets,\n", - " load_from_disk,\n", - ")\n", - "\n", - "#transformers\n", - "from transformers import (\n", - " AutoConfig,\n", - " AutoTokenizer,\n", - " AutoModelForQuestionAnswering,\n", - " TrainingArguments,\n", - " Trainer,\n", - " default_data_collator,\n", - ")\n", - "\n", - "#thai2transformers\n", - "import thai2transformers\n", - "from thai2transformers.metrics import (\n", - " squad_newmm_metric,\n", - " question_answering_metrics,\n", - ")\n", - "from thai2transformers.preprocess import (\n", - " prepare_qa_train_features\n", - ")\n", - "from thai2transformers.tokenizers import (\n", - " ThaiRobertaTokenizer,\n", - " ThaiWordsNewmmTokenizer,\n", - " ThaiWordsSyllableTokenizer,\n", - " FakeSefrCutTokenizer,\n", - " SEFR_SPLIT_TOKEN\n", - ")" - ], - "metadata": { - "id": "XLUGIXs00w2i" + "name": "stderr", + "output_type": "stream", + "text": [ + "Saving model checkpoint to bert-finetuned-squad\n", + "Configuration saved in bert-finetuned-squad/config.json\n", + "Model weights saved in bert-finetuned-squad/pytorch_model.bin\n", + "tokenizer config file saved in bert-finetuned-squad/tokenizer_config.json\n", + "Special tokens file saved in bert-finetuned-squad/special_tokens_map.json\n", + "Several commits (2) will be pushed upstream.\n", + "The progress bars may be unreliable.\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3ce6fd1225da484c9bb5e6fe9b7aff3a", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [] + "text/plain": [ + "Upload file pytorch_model.bin: 0%| | 3.39k/411M [00:00 main\n", + "\n", + "Dropping the following result as it does not have all the necessary fields:\n", + "{'task': {'name': 'Question Answering', 'type': 'question-answering'}, 'dataset': {'name': 'squad', 'type': 'squad', 'args': 'plain_text'}}\n", + "To https://huggingface.co/mrp/bert-finetuned-squad\n", + " fa61df7..0ed7636 main -> main\n", + "\n" + ] }, { - "cell_type": "code", - "source": [ - "#parameterizing columns\n", - "CONTEXT_COL = 'context'\n", - "QUESTION_COL = 'question'\n", - "ANSWERS_COL = 'answers'\n", - "TEXT_COL = 'text'\n", - "START_COL = 'answer_start'\n", - "END_COL = 'answer_end'\n", - "QUESTION_ID_COL = 'question_id'" - ], - "metadata": { - "id": "iCb02XmY08j3" + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" }, - "execution_count": null, - "outputs": [] + "text/plain": [ + "'https://huggingface.co/mrp/bert-finetuned-squad/commit/fa61df7b8d12697f679620b8e1dce78b72f657d0'" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "trainer.push_to_hub(commit_message=\"Training complete\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "DF069dHVbx0C", + "outputId": "d40f31ed-677b-4456-c064-c36f2552e879" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "!wget https://archive.org/download/iapp_thaiqa/iapp_thaiqa.zip" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "FsdoaruE1ERe", - "outputId": "f9a291a0-f019-481d-d0bb-4eb374af5322" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "--2022-04-03 05:10:26-- https://archive.org/download/iapp_thaiqa/iapp_thaiqa.zip\n", - "Resolving archive.org (archive.org)... 207.241.224.2\n", - "Connecting to archive.org (archive.org)|207.241.224.2|:443... connected.\n", - "HTTP request sent, awaiting response... 302 Found\n", - "Location: https://ia601800.us.archive.org/19/items/iapp_thaiqa/iapp_thaiqa.zip [following]\n", - "--2022-04-03 05:10:27-- https://ia601800.us.archive.org/19/items/iapp_thaiqa/iapp_thaiqa.zip\n", - "Resolving ia601800.us.archive.org (ia601800.us.archive.org)... 207.241.227.70\n", - "Connecting to ia601800.us.archive.org (ia601800.us.archive.org)|207.241.227.70|:443... connected.\n", - "HTTP request sent, awaiting response... 200 OK\n", - "Length: 318808632 (304M) [application/zip]\n", - "Saving to: ‘iapp_thaiqa.zip’\n", - "\n", - "iapp_thaiqa.zip 100%[===================>] 304.04M 844KB/s in 12m 0s \n", - "\n", - "2022-04-03 05:22:28 (432 KB/s) - ‘iapp_thaiqa.zip’ saved [318808632/318808632]\n", - "\n" - ] - } + "name": "stderr", + "output_type": "stream", + "text": [ + "loading configuration file https://huggingface.co/mrp/bert-finetuned-squad/resolve/main/config.json from cache at /root/.cache/huggingface/transformers/463982a8b5ededbbdbd86cbaa84429f78ec71b9b3b212e2205c7cb3c0c08a6e8.029851dbc32bfad1ff275a0602b1e48b1982cef103a3a47181b98f219f636a88\n", + "Model config BertConfig {\n", + " \"_name_or_path\": \"mrp/bert-finetuned-squad\",\n", + " \"architectures\": [\n", + " \"BertForQuestionAnswering\"\n", + " ],\n", + " \"attention_probs_dropout_prob\": 0.1,\n", + " \"classifier_dropout\": null,\n", + " \"gradient_checkpointing\": false,\n", + " \"hidden_act\": \"gelu\",\n", + " \"hidden_dropout_prob\": 0.1,\n", + " \"hidden_size\": 768,\n", + " \"initializer_range\": 0.02,\n", + " \"intermediate_size\": 3072,\n", + " \"layer_norm_eps\": 1e-12,\n", + " \"max_position_embeddings\": 512,\n", + " \"model_type\": \"bert\",\n", + " \"num_attention_heads\": 12,\n", + " \"num_hidden_layers\": 12,\n", + " \"pad_token_id\": 0,\n", + " \"position_embedding_type\": \"absolute\",\n", + " \"torch_dtype\": \"float32\",\n", + " \"transformers_version\": \"4.15.0\",\n", + " \"type_vocab_size\": 2,\n", + " \"use_cache\": true,\n", + " \"vocab_size\": 28996\n", + "}\n", + "\n", + "loading configuration file https://huggingface.co/mrp/bert-finetuned-squad/resolve/main/config.json from cache at /root/.cache/huggingface/transformers/463982a8b5ededbbdbd86cbaa84429f78ec71b9b3b212e2205c7cb3c0c08a6e8.029851dbc32bfad1ff275a0602b1e48b1982cef103a3a47181b98f219f636a88\n", + "Model config BertConfig {\n", + " \"_name_or_path\": \"mrp/bert-finetuned-squad\",\n", + " \"architectures\": [\n", + " \"BertForQuestionAnswering\"\n", + " ],\n", + " \"attention_probs_dropout_prob\": 0.1,\n", + " \"classifier_dropout\": null,\n", + " \"gradient_checkpointing\": false,\n", + " \"hidden_act\": \"gelu\",\n", + " \"hidden_dropout_prob\": 0.1,\n", + " \"hidden_size\": 768,\n", + " \"initializer_range\": 0.02,\n", + " \"intermediate_size\": 3072,\n", + " \"layer_norm_eps\": 1e-12,\n", + " \"max_position_embeddings\": 512,\n", + " \"model_type\": \"bert\",\n", + " \"num_attention_heads\": 12,\n", + " \"num_hidden_layers\": 12,\n", + " \"pad_token_id\": 0,\n", + " \"position_embedding_type\": \"absolute\",\n", + " \"torch_dtype\": \"float32\",\n", + " \"transformers_version\": \"4.15.0\",\n", + " \"type_vocab_size\": 2,\n", + " \"use_cache\": true,\n", + " \"vocab_size\": 28996\n", + "}\n", + "\n", + "loading weights file https://huggingface.co/mrp/bert-finetuned-squad/resolve/main/pytorch_model.bin from cache at /root/.cache/huggingface/transformers/1109e69de3611ad0a28e5e2e0992c3c08a6ffee4d01a2395b3e449a37fdb51ee.575b95a92b1d92c587e9cbd4d00c7198fa7f2050c296db02c56837d0062ce66d\n", + "All model checkpoint weights were used when initializing BertForQuestionAnswering.\n", + "\n", + "All the weights of BertForQuestionAnswering were initialized from the model checkpoint at mrp/bert-finetuned-squad.\n", + "If your task is similar to the task the model of the checkpoint was trained on, you can already use BertForQuestionAnswering for predictions without further training.\n", + "loading file https://huggingface.co/mrp/bert-finetuned-squad/resolve/main/vocab.txt from cache at /root/.cache/huggingface/transformers/77e316a08cf3a82780962c6e2cb180dbcd5bfc99bb305ec697e8accd8c1f630a.437aa611e89f6fc6675a049d2b5545390adbc617e7d655286421c191d2be2791\n", + "loading file https://huggingface.co/mrp/bert-finetuned-squad/resolve/main/tokenizer.json from cache at /root/.cache/huggingface/transformers/dc496a59482b4ac66d59ad0308d4a3051a89ca2b6db6255c1f505df43d0aa4fc.1f9d100b22551a7009fb51f1fadb9158af5db04f4c188aceecaa745a1917c983\n", + "loading file https://huggingface.co/mrp/bert-finetuned-squad/resolve/main/added_tokens.json from cache at None\n", + "loading file https://huggingface.co/mrp/bert-finetuned-squad/resolve/main/special_tokens_map.json from cache at /root/.cache/huggingface/transformers/fb384d6d6e936515770a19159740bd28722789eee874d0e6363279ab63ed6df5.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d\n", + "loading file https://huggingface.co/mrp/bert-finetuned-squad/resolve/main/tokenizer_config.json from cache at /root/.cache/huggingface/transformers/382488ee731a86b61d2c195e4d0248b06b75e3d26d62de86484132ec9723288f.0bbe47aa0e39b09ed05a95f7d42a27299232ce8e9ef28608e8f8a1cb57a74c0a\n" + ] + }, + { + "data": { + "text/plain": [ + "{'answer': 'Jax, PyTorch and TensorFlow',\n", + " 'end': 105,\n", + " 'score': 0.8922150731086731,\n", + " 'start': 78}" ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from transformers import pipeline\n", + "\n", + "# Replace this with your own checkpoint\n", + "model_checkpoint = \"mrp/bert-finetuned-squad\"\n", + "question_answerer = pipeline(\"question-answering\", model=model_checkpoint)\n", + "\n", + "context = \"\"\"\n", + "🤗 Transformers is backed by the three most popular deep learning libraries — Jax, PyTorch and TensorFlow — with a seamless integration\n", + "between them. It's straightforward to train your models with one before loading them for inference with the other.\n", + "\"\"\"\n", + "question = \"Which deep learning libraries back 🤗 Transformers?\"\n", + "question_answerer(question=question, context=context)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "sw5Hv2-k0W55" + }, + "source": [ + "# โจทย์พิเศษ: Question-Asnwering ภาษาไทย\n", + "โดยจะต้องเติมโค้ดลงในช่องว่างให้ถูกต้อง หากทำถูกก็จะแสดงผลเหมือนกับตัวอย่างที่แสดง" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "xCLg2MpEb4D3", + "outputId": "26ed07d4-a992-4dc7-ddcb-ed08094bb53a" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "!unzip iapp_thaiqa.zip" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "QmQMn2Nv1G2B", - "outputId": "43cd6bbf-54bc-4ae8-8897-a525e35650f5" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - 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This behaviour is the source of the following dependency conflicts.\n", + "datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\n", + "albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible.\u001b[0m\n", + "\u001b[K\u001b[?25hnpx: installed 1 in 2.71s\n", + "\u001b[36m> destination directory is not empty. Using --force, continuing\u001b[39m\n", + "\u001b[36m> cloned \u001b[1mvistec-AI/thai2transformers\u001b[22m#\u001b[1mdev\u001b[22m\u001b[39m\n" + ] + } + ], + "source": [ + "!pip -q install -Uqq datasets pythainlp==2.2.4 transformers==4.4.0 tensorflow==2.4.0 tensorflow_text emoji seqeval sentencepiece fuzzywuzzy\n", + "!npx degit --force https://github.com/vistec-AI/thai2transformers#dev" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ejf23e2u0rPW", + "outputId": "e1613f8a-ec45-467c-ece0-133bda09ee50" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "('2.2.4', '4.4.0')" ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2\n", + "\n", + "import pythainlp, transformers\n", + "pythainlp.__version__, transformers.__version__ #fix pythainlp to stabilize word tokenization for metrics" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "XLUGIXs00w2i" + }, + "outputs": [], + "source": [ + "import collections\n", + "import logging\n", + "import pprint\n", + "import re\n", + "from tqdm.auto import tqdm\n", + "\n", + "import numpy as np\n", + "import torch\n", + "\n", + "#datasets\n", + "from datasets import (\n", + " load_dataset, \n", + " load_metric, \n", + " concatenate_datasets,\n", + " load_from_disk,\n", + ")\n", + "\n", + "#transformers\n", + "from transformers import (\n", + " AutoConfig,\n", + " AutoTokenizer,\n", + " AutoModelForQuestionAnswering,\n", + " TrainingArguments,\n", + " Trainer,\n", + " default_data_collator,\n", + ")\n", + "\n", + "#thai2transformers\n", + "import thai2transformers\n", + "from thai2transformers.metrics import (\n", + " squad_newmm_metric,\n", + " question_answering_metrics,\n", + ")\n", + "from thai2transformers.preprocess import (\n", + " prepare_qa_train_features\n", + ")\n", + "from thai2transformers.tokenizers import (\n", + " ThaiRobertaTokenizer,\n", + " ThaiWordsNewmmTokenizer,\n", + " ThaiWordsSyllableTokenizer,\n", + " FakeSefrCutTokenizer,\n", + " SEFR_SPLIT_TOKEN\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 113, + "referenced_widgets": [ + "6cc42582e8ef4c3dbaf5218307b58d23", + "6b0cb744b0f546bda7f4aaf6ca05387f", + "ceba31d484ae404683521fb31dc3a345", + "751e6e652f184f948ba12ad5f4c46a0b", + "d165aed0c4e74cc5ac24962a867374bd", + "0777e5a237c149e7a6bec0bdde41f866", + "cf27bd828ddb49b0a927277923184951", + "6641a7e388d24cd7b923b1de61362822", + "2ef1ee1021be432394a564a72ee3403f", + "4d58d845b0214008b5ee505d86fb1e7d", + "c41e5be4399940d3aa7bc84bec2346dd", + "aba5cc1d344a4caca85e67e7829bbe7d", + "dbf81291152d46398bb5db9bba6521cf", + "65998f6a7181443889335e991ba86f3d", + "dfd3fd7763a94fbaa6161c5d32acaf2f", + "35c4a078a51548c4a63f84d875e61486", + 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"ee35af3c-0fb7-4b00-b381-55965aa5bc16" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6cc42582e8ef4c3dbaf5218307b58d23", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "DatasetDict({\n", - " train: Dataset({\n", - " features: ['question_id', 'article_id', 'title', 'context', 'question', 'answers'],\n", - " num_rows: 9723\n", - " })\n", - " validation: Dataset({\n", - " features: ['question_id', 'article_id', 'title', 'context', 'question', 'answers'],\n", - " num_rows: 742\n", - " })\n", - " test: Dataset({\n", - " features: ['question_id', 'article_id', 'title', 'context', 'question', 'answers'],\n", - " num_rows: 739\n", - " })\n", - "})" - ] - }, - "metadata": {}, - "execution_count": 8 - } + "text/plain": [ + "Downloading: 0%| | 0.00/546 [00:00] 304.04M 844KB/s in 12m 0s \n", + "\n", + "2022-04-03 05:22:28 (432 KB/s) - ‘iapp_thaiqa.zip’ saved [318808632/318808632]\n", + "\n" + ] + } + ], + "source": [ + "!wget https://archive.org/download/iapp_thaiqa/iapp_thaiqa.zip" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "QmQMn2Nv1G2B", + "outputId": "43cd6bbf-54bc-4ae8-8897-a525e35650f5" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "wIvKwmpn15fn", - "outputId": "de7b1fcc-0178-4c98-c45b-fb1edeb76e0a" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Context: พัทธ์ธีรา ศรุติพงศ์โภคิน (เกิด 3 ธันวาคม พ.ศ. 2533) หรือชื่อเล่นว่า อร เป็นนักแสดงหญิงชาวไทย สำเร็จมัธยมศึกษาจากcatholic cathedral college ประเทศนิวซีแลนด์ และปริญญาตรีจากraffles international college สาขา business marketing\n", - "\n", - "เข้าสู่วงการตั้งแต่อายุ 6 ขวบ จากการแสดงละครเวทีกับ ครูชลประคัลภ์ จันทร์เรือง จากนั้นก็เล่นโฆษณาในวัยเด็ก 2- 3 ชิ้น และยังเคยแสดงช่วงละครสั้น ในรายการซุปเปอร์จิ๋ว ประมาณปี 2542\n", - "\n", - "ปัจจุบันเป็นทั้ง นักแสดง , พิธีกร และ วีเจ อยู่ที่คลื่น เก็ท 102.5 bangkok international hits music station และยังเป็นพิธีกรให้กับช่อง ทรู มิวสิก\n", - "Question: พัทธ์ธีรา ศรุติพงศ์โภคิน เกิดวันที่เท่าไร\n", - "Answer: {'text': ['3 ธันวาคม พ.ศ. 2533'], 'answer_start': [31], 'answer_end': [50]}\n" - ] - } - ] + "name": "stdout", + "output_type": "stream", + "text": [ + "Archive: iapp_thaiqa.zip\n", + " creating: iapp_thaiqa/\n", + " creating: iapp_thaiqa/train/\n", + " inflating: iapp_thaiqa/train/cache-8cfe6fc0fc5958b2.arrow \n", + " inflating: iapp_thaiqa/train/cache-688f37b8d9e8a691.arrow \n", + " inflating: iapp_thaiqa/train/cache-e3bc363ebe4e6a5f.arrow \n", + " inflating: iapp_thaiqa/train/state.json \n", + " inflating: iapp_thaiqa/train/dataset_info.json \n", + " inflating: iapp_thaiqa/train/cache-77825e7377c5279f.arrow \n", + " inflating: 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"})" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "datasets = load_from_disk('iapp_thaiqa') \n", + "datasets" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 113, + "referenced_widgets": [ + "a76c6d3904bf4c89bf2f0dd09291f259", + "2d39ed5112cd4b3987c6b98c48c06fd0", + "328d65707d86475aa022b4f60a57471b", + "06d79c57008344c8ae0a153423ca9585", + "a070a6850def416e92fcf404a51196a6", + "07faeaa5e6cb40189cd532db8fa3a23c", + "9fd21a1e29b9413d8ce775075ae5564d", + "680dddb8b3e74a68980bbbb386b7b999", + "5af8a0306abf43048da8fc3b85fa01f9", + "6f39d0c464864da49807be24a9888217", + "27c00dd8a9bc497fa3a6df3bac4b1430", + "d46eee889ee44a65a579bf546f7892c6", + "2cd8112cad1645b08ef08c478ef2a94e", + "3930b9511f784c1a9937b8209ca5715a", + "df37373de7db41c9af61ef3f19323c2a", + "f5d15bea661f49668ab0473dbc6f2c8c", + "ab775cd67a54421dbda356345da5d84c", + "2850fd2609054e0d906677c70b4a83c5", + "84c062eac74f4b39a3617d5b9374fcaa", + "539e8f88612b4cd686ab6f60850a236e", + "2cdc68ad2a0246348fb42b4ab7e8df5c", + "1b07918fc8604c2389a214e3b7527143", + "8d3ce7cbd04541739eb014952311530a", + "6549e46735bf4abca3ba882091fa61ed", + "090be838ce75447db157541dff1011d2", + "3ef8c0b43e9a4363adf02acbf821a448", + "9abc8cb3bc3b4fb8a18567e7d0bf96ed", + "9ebe3d5dedf14b7289c7f543720802d2", + "cbb598803e0041c9954c1f663dbfdf36", + "1a4ab6f03cb24ecf8b55c78890bd0f5c", + "a322cb54811b4e07a9a5fdbccd3fa431", + "0ce7a2defd9c4699a17ed456a7d8b816", + "79d2885ecf8d4cbe96d5900dd08a12ad" + ] }, + "id": "vk_oKo6C11YL", + "outputId": "ed48de88-d961-4e9a-957c-c230f8e29c5c" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "context = datasets[\"train\"][0][\"context\"]\n", - "question = datasets[\"train\"][0][\"question\"]\n", - "\n", - "inputs = tokenizer(question, context)\n", - "tokenizer.decode(inputs[\"input_ids\"])" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 89 - }, - "id": "pRd61WhW5M_P", - "outputId": "b5714cad-8c54-4392-be82-c12b5b0ef72a" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a76c6d3904bf4c89bf2f0dd09291f259", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "' พัทธ์ธีรา ศรุติพงศ์โภคิน เกิดวันที่เท่าไร พัทธ์ธีรา ศรุติพงศ์โภคิน (เกิด 3 ธันวาคม พ.ศ. 2533) หรือชื่อเล่นว่า อร เป็นนักแสดงหญิงชาวไทย สําเร็จมัธยมศึกษาจากcatholic cathedral college ประเทศนิวซีแลนด์ และปริญญาตรีจากraffles international college สาขา business marketing เข้าสู่วงการตั้งแต่อายุ 6 ขวบ จากการแสดงละครเวทีกับ ครูชลประคัลภ์ จันทร์เรือง จากนั้นก็เล่นโฆษณาในวัยเด็ก 2- 3 ชิ้น และยังเคยแสดงช่วงละครสั้น ในรายการซุปเปอร์จิ๋ว ประมาณปี 2542 ปัจจุบันเป็นทั้ง นักแสดง, พิธีกร และ วีเจ อยู่ที่คลื่น เก็ท 102.5 bangkok international hits music station และยังเป็นพิธีกรให้กับช่อง ทรู มิวสิก'" - ], - "application/vnd.google.colaboratory.intrinsic+json": { - "type": "string" - } - }, - "metadata": {}, - "execution_count": 14 - } + "text/plain": [ + " 0%| | 0/9723 [00:00 พัทธ์ธีรา ศรุติพงศ์โภคิน เกิดวันที่เท่าไร พัทธ์ธีรา ศรุติพงศ์โภคิน (เกิด 3 ธันวาคม พ.ศ. 2533) หรือชื่อเล่นว่า อร เป็นนักแสดงหญิงชาวไทย สําเร็จมัธยมศึกษาจากcatholic cathedral college ประเทศนิวซีแลนด์ และปริญญาตรีจากraffles international college สาขา business marketing เข้าสู่วงการตั้งแต่อายุ 6\n", - " พัทธ์ธีรา ศรุติพงศ์โภคิน เกิดวันที่เท่าไรเป็นนักแสดงหญิงชาวไทย สําเร็จมัธยมศึกษาจากcatholic cathedral college ประเทศนิวซีแลนด์ และปริญญาตรีจากraffles international college สาขา business marketing เข้าสู่วงการตั้งแต่อายุ 6 ขวบ จากการแสดงละครเวทีกับ ครูชลประคัลภ์ จันทร์เรือง จากนั้นก็เล่นโฆษณาในวัยเด็ก 2- 3 ชิ้น และยังเคยแสดงช่วงละคร\n", - " พัทธ์ธีรา ศรุติพงศ์โภคิน เกิดวันที่เท่าไร college สาขา business marketing เข้าสู่วงการตั้งแต่อายุ 6 ขวบ จากการแสดงละครเวทีกับ ครูชลประคัลภ์ จันทร์เรือง จากนั้นก็เล่นโฆษณาในวัยเด็ก 2- 3 ชิ้น และยังเคยแสดงช่วงละครสั้น ในรายการซุปเปอร์จิ๋ว ประมาณปี 2542 ปัจจุบันเป็นทั้ง นักแสดง, พิธีกร และ วีเจ อยู่ที่คลื่น เก็ท 102.5\n", - " พัทธ์ธีรา ศรุติพงศ์โภคิน เกิดวันที่เท่าไรจันทร์เรือง จากนั้นก็เล่นโฆษณาในวัยเด็ก 2- 3 ชิ้น และยังเคยแสดงช่วงละครสั้น ในรายการซุปเปอร์จิ๋ว ประมาณปี 2542 ปัจจุบันเป็นทั้ง นักแสดง, พิธีกร และ วีเจ อยู่ที่คลื่น เก็ท 102.5 bangkok international hits music station และยังเป็นพิธีกรให้กับช่อง ทรู มิวสิก\n" - ] - } + "text/plain": [ + " 0%| | 0/742 [00:00 end_char or offset[context_end][1] < start_char:\n", - " start_positions.append(0)\n", - " end_positions.append(0)\n", - " else:\n", - " # Otherwise it's the start and end token positions\n", - " idx = context_start\n", - " while idx <= context_end and offset[idx][0] <= start_char:\n", - " idx += 1\n", - " start_positions.append(idx - 1)\n", - "\n", - " idx = context_end\n", - " while idx >= context_start and offset[idx][1] >= end_char:\n", - " idx -= 1\n", - " end_positions.append(idx + 1)\n", - "\n", - "start_positions, end_positions " - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "M9UkcV3T56a3", - "outputId": "6b4fcd95-4682-4a10-d1b5-f5df30ae31b3" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8d3ce7cbd04541739eb014952311530a", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "([50, 18, 0, 0], [52, 20, 0, 0])" - ] - }, - "metadata": {}, - "execution_count": 22 - } + "text/plain": [ + " 0%| | 0/739 [00:00 พัทธ์ธีรา ศรุติพงศ์โภคิน เกิดวันที่เท่าไรจันทร์เรือง จากนั้นก็เล่นโฆษณาในวัยเด็ก 2- 3 ชิ้น และยังเคยแสดงช่วงละครสั้น ในรายการซุปเปอร์จิ๋ว ประมาณปี 2542 ปัจจุบันเป็นทั้ง นักแสดง, พิธีกร และ วีเจ อยู่ที่คลื่น เก็ท 102.5 bangkok international hits music station และยังเป็นพิธีกรให้กับช่อง ทรู มิวสิก\n" - ] - } + "text/plain": [ + "' พัทธ์ธีรา ศรุติพงศ์โภคิน เกิดวันที่เท่าไร พัทธ์ธีรา ศรุติพงศ์โภคิน (เกิด 3 ธันวาคม พ.ศ. 2533) หรือชื่อเล่นว่า อร เป็นนักแสดงหญิงชาวไทย สําเร็จมัธยมศึกษาจากcatholic cathedral college ประเทศนิวซีแลนด์ และปริญญาตรีจากraffles international college สาขา business marketing เข้าสู่วงการตั้งแต่อายุ 6 ขวบ จากการแสดงละครเวทีกับ ครูชลประคัลภ์ จันทร์เรือง จากนั้นก็เล่นโฆษณาในวัยเด็ก 2- 3 ชิ้น และยังเคยแสดงช่วงละครสั้น ในรายการซุปเปอร์จิ๋ว ประมาณปี 2542 ปัจจุบันเป็นทั้ง นักแสดง, พิธีกร และ วีเจ อยู่ที่คลื่น เก็ท 102.5 bangkok international hits music station และยังเป็นพิธีกรให้กับช่อง ทรู มิวสิก'" ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "context = datasets[\"train\"][0][\"context\"]\n", + "question = datasets[\"train\"][0][\"question\"]\n", + "\n", + "inputs = tokenizer(question, context)\n", + "tokenizer.decode(inputs[\"input_ids\"])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "PWGxrTez5XpF", + "outputId": "154d55c1-5521-476e-8e51-896cf64f2a72" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "max_length = 384\n", - "stride = 128\n", - "\n", - "\n", - "def preprocess_training_examples(examples):\n", - " questions = [q.strip() for q in examples[\"question\"]]\n", - " inputs = tokenizer(\n", - " questions,\n", - " examples[\"context\"],\n", - " max_length=max_length,\n", - " truncation=\"only_second\",\n", - " stride=stride,\n", - " return_overflowing_tokens=True,\n", - " return_offsets_mapping=True,\n", - " padding=\"max_length\",\n", - " )\n", - "\n", - " offset_mapping = inputs.pop(\"offset_mapping\")\n", - " sample_map = inputs.pop(\"overflow_to_sample_mapping\")\n", - " answers = examples[\"answers\"]\n", - " start_positions = []\n", - " end_positions = []\n", - "\n", - " for i, offset in enumerate(offset_mapping):\n", - " sample_idx = sample_map[i]\n", - " answer = answers[sample_idx]\n", - " start_char = answer[\"answer_start\"][0]\n", - " end_char = answer[\"answer_start\"][0] + len(answer[\"text\"][0])\n", - " sequence_ids = inputs.sequence_ids(i)\n", - "\n", - " # Find the start and end of the context\n", - " idx = 0\n", - " while sequence_ids[idx] != 1:\n", - " idx += 1\n", - " context_start = idx\n", - " while sequence_ids[idx] == 1:\n", - " idx += 1\n", - " context_end = idx - 1\n", - "\n", - " # If the answer is not fully inside the context, label is (0, 0)\n", - " if offset[context_start][0] > end_char or offset[context_end][1] < start_char:\n", - " start_positions.append(0)\n", - " end_positions.append(0)\n", - " else:\n", - " # Otherwise it's the start and end token positions\n", - " idx = context_start\n", - " while idx <= context_end and offset[idx][0] <= start_char:\n", - " idx += 1\n", - " start_positions.append(idx - 1)\n", - "\n", - " idx = context_end\n", - " while idx >= context_start and offset[idx][1] >= end_char:\n", - " idx -= 1\n", - " end_positions.append(idx + 1)\n", - "\n", - " inputs[\"start_positions\"] = start_positions\n", - " inputs[\"end_positions\"] = end_positions\n", - " return inputs" - ], - "metadata": { - "id": "LRSwMcuN6KWj" - }, - "execution_count": null, - "outputs": [] + "name": "stdout", + "output_type": "stream", + "text": [ + " พัทธ์ธีรา ศรุติพงศ์โภคิน เกิดวันที่เท่าไร พัทธ์ธีรา ศรุติพงศ์โภคิน (เกิด 3 ธันวาคม พ.ศ. 2533) หรือชื่อเล่นว่า อร เป็นนักแสดงหญิงชาวไทย สําเร็จมัธยมศึกษาจากcatholic cathedral college ประเทศนิวซีแลนด์ และปริญญาตรีจากraffles international college สาขา business marketing เข้าสู่วงการตั้งแต่อายุ 6\n", + " พัทธ์ธีรา ศรุติพงศ์โภคิน เกิดวันที่เท่าไรเป็นนักแสดงหญิงชาวไทย สําเร็จมัธยมศึกษาจากcatholic cathedral college ประเทศนิวซีแลนด์ และปริญญาตรีจากraffles international college สาขา business marketing เข้าสู่วงการตั้งแต่อายุ 6 ขวบ จากการแสดงละครเวทีกับ ครูชลประคัลภ์ จันทร์เรือง จากนั้นก็เล่นโฆษณาในวัยเด็ก 2- 3 ชิ้น และยังเคยแสดงช่วงละคร\n", + " พัทธ์ธีรา ศรุติพงศ์โภคิน เกิดวันที่เท่าไร college สาขา business marketing เข้าสู่วงการตั้งแต่อายุ 6 ขวบ จากการแสดงละครเวทีกับ ครูชลประคัลภ์ จันทร์เรือง จากนั้นก็เล่นโฆษณาในวัยเด็ก 2- 3 ชิ้น และยังเคยแสดงช่วงละครสั้น ในรายการซุปเปอร์จิ๋ว ประมาณปี 2542 ปัจจุบันเป็นทั้ง นักแสดง, พิธีกร และ วีเจ อยู่ที่คลื่น เก็ท 102.5\n", + " พัทธ์ธีรา ศรุติพงศ์โภคิน เกิดวันที่เท่าไรจันทร์เรือง จากนั้นก็เล่นโฆษณาในวัยเด็ก 2- 3 ชิ้น และยังเคยแสดงช่วงละครสั้น ในรายการซุปเปอร์จิ๋ว ประมาณปี 2542 ปัจจุบันเป็นทั้ง นักแสดง, พิธีกร และ วีเจ อยู่ที่คลื่น เก็ท 102.5 bangkok international hits music station และยังเป็นพิธีกรให้กับช่อง ทรู มิวสิก\n" + ] + } + ], + "source": [ + "inputs = tokenizer(\n", + " question,\n", + " context,\n", + " max_length=100,\n", + " truncation=\"only_second\",\n", + " stride=50,\n", + " return_overflowing_tokens=True,\n", + ")\n", + "\n", + "for ids in inputs[\"input_ids\"]:\n", + " print(tokenizer.decode(ids)) # จะเห็นว่าประโยคที่สองคือการตัดมาจากอันแรก" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "M9UkcV3T56a3", + "outputId": "6b4fcd95-4682-4a10-d1b5-f5df30ae31b3" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "train_dataset = datasets[\"XXXX\"].map( # จัดการ training data\n", - " preprocess_training_examples,\n", - " batched=True,\n", - " remove_columns=datasets[\"XXXX\"].column_names,\n", - ")\n", - "len(datasets[\"XXXXX\"]), len(train_dataset) # ทำการตัดคำทั้งหมดพร้อมทั้งแบ่งเป็นก้อนๆ" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 67, - "referenced_widgets": [ - "54d02344dd6543d987b137f07f301c44", - "88960bbca9c740d380e8059f34599521", - "8e56867f944947f2bf5f31c8128ab9dc", - "be3b6ac5d83a46dc86eb0aa672af4595", - "793e607a71264ad080a17d3db281352d", - "cb0d6acce7e94a5ab1d657448bc4e8be", - "7a56b6da0a5e4e08899e9a50754e59fe", - "3b3dc767a47c470181500c5b67baa07a", - "b58923a82c9641abb75d5eb087fe2a41", - "031a2336bcd44313895bcf7cf723e424", - "b39e3de8b722469b931b90f91ef580ef" - ] - }, - "id": "OAnBrZqW6Oku", - "outputId": "243bd730-dd06-41ce-ce3f-ef3074a28521" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - " 0%| | 0/10 [00:00 end_char or offset[context_end][1] < start_char:\n", + " start_positions.append(0)\n", + " end_positions.append(0)\n", + " else:\n", + " # Otherwise it's the start and end token positions\n", + " idx = context_start\n", + " while idx <= context_end and offset[idx][0] <= start_char:\n", + " idx += 1\n", + " start_positions.append(idx - 1)\n", + "\n", + " idx = context_end\n", + " while idx >= context_start and offset[idx][1] >= end_char:\n", + " idx -= 1\n", + " end_positions.append(idx + 1)\n", + "\n", + "start_positions, end_positions " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8rueemz06Egs" + }, + "source": [ + "# เช็คคำตอบ" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "5rWPkK3h5yHO", + "outputId": "a433b9e5-8254-4cbd-ee0b-c0a849a751c9" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "train_dataset" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "-G-vwCv56Qk7", - "outputId": "a9925e73-6563-44c1-a98d-a404cef1901e" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "Dataset({\n", - " features: ['input_ids', 'attention_mask', 'start_positions', 'end_positions'],\n", - " num_rows: 26214\n", - "})" - ] - }, - "metadata": {}, - "execution_count": 29 - } - ] + "name": "stdout", + "output_type": "stream", + "text": [ + "Theoretical answer: นักแสดงหญิงชาวไทย, labels give: นักแสดงหญิงชาวไทย\n" + ] + } + ], + "source": [ + "idx = 0\n", + "sample_idx = inputs[\"overflow_to_sample_mapping\"][idx]\n", + "answer = answers[sample_idx][\"text\"][0]\n", + "\n", + "start = start_positions[idx]\n", + "end = end_positions[idx]\n", + "labeled_answer = tokenizer.decode(inputs[\"input_ids\"][idx][start : end + 1])\n", + "\n", + "print(f\"Theoretical answer: {answer}, labels give: {labeled_answer}\") # เช็คให้ชัวร์ด้วยว่าตรงกันมั้ยยยย" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "x4pQxtuD54LV", + "outputId": "24ba22a6-889c-48a8-e4b6-83722eff61fc" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "def preprocess_validation_examples(examples):\n", - " questions = [q.strip() for q in examples[\"question\"]]\n", - " inputs = tokenizer(\n", - " questions,\n", - " examples[\"context\"],\n", - " max_length=max_length,\n", - " truncation=\"only_second\",\n", - " stride=stride,\n", - " return_overflowing_tokens=True,\n", - " return_offsets_mapping=True,\n", - " padding=\"max_length\",\n", - " )\n", - "\n", - " sample_map = inputs.pop(\"overflow_to_sample_mapping\")\n", - " example_ids = []\n", - "\n", - " for i in range(len(inputs[\"input_ids\"])):\n", - " sample_idx = sample_map[i]\n", - " example_ids.append(examples[\"question_id\"][sample_idx])\n", - "\n", - " sequence_ids = inputs.sequence_ids(i)\n", - " offset = inputs[\"offset_mapping\"][i]\n", - " inputs[\"offset_mapping\"][i] = [\n", - " o if sequence_ids[k] == 1 else None for k, o in enumerate(offset)\n", - " ]\n", - "\n", - " inputs[\"example_id\"] = example_ids\n", - " return inputs\n" - ], - "metadata": { - "id": "Ekn9d5GZ7L8-" - }, - "execution_count": null, - "outputs": [] + "name": "stdout", + "output_type": "stream", + "text": [ + "Theoretical answer: นักแสดงหญิงชาวไทย, decoded example: พัทธ์ธีรา ศรุติพงศ์โภคิน เกิดวันที่เท่าไรจันทร์เรือง จากนั้นก็เล่นโฆษณาในวัยเด็ก 2- 3 ชิ้น และยังเคยแสดงช่วงละครสั้น ในรายการซุปเปอร์จิ๋ว ประมาณปี 2542 ปัจจุบันเป็นทั้ง นักแสดง, พิธีกร และ วีเจ อยู่ที่คลื่น เก็ท 102.5 bangkok international hits music station และยังเป็นพิธีกรให้กับช่อง ทรู มิวสิก\n" + ] + } + ], + "source": [ + "idx = XXX # ใส่ index ที่ไม่มีคำตอบ\n", + "sample_idx = inputs[\"overflow_to_sample_mapping\"][idx]\n", + "answer = answers[sample_idx][\"text\"][0]\n", + "\n", + "decoded_example = tokenizer.decode(inputs[\"input_ids\"][idx])\n", + "print(f\"Theoretical answer: {answer}, decoded example: {decoded_example}\") # คำตอบควรจะเป็น คำถาม, context" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "LRSwMcuN6KWj" + }, + "outputs": [], + "source": [ + "max_length = 384\n", + "stride = 128\n", + "\n", + "\n", + "def preprocess_training_examples(examples):\n", + " questions = [q.strip() for q in examples[\"question\"]]\n", + " inputs = tokenizer(\n", + " questions,\n", + " examples[\"context\"],\n", + " max_length=max_length,\n", + " truncation=\"only_second\",\n", + " stride=stride,\n", + " return_overflowing_tokens=True,\n", + " return_offsets_mapping=True,\n", + " padding=\"max_length\",\n", + " )\n", + "\n", + " offset_mapping = inputs.pop(\"offset_mapping\")\n", + " sample_map = inputs.pop(\"overflow_to_sample_mapping\")\n", + " answers = examples[\"answers\"]\n", + " start_positions = []\n", + " end_positions = []\n", + "\n", + " for i, offset in enumerate(offset_mapping):\n", + " sample_idx = sample_map[i]\n", + " answer = answers[sample_idx]\n", + " start_char = answer[\"answer_start\"][0]\n", + " end_char = answer[\"answer_start\"][0] + len(answer[\"text\"][0])\n", + " sequence_ids = inputs.sequence_ids(i)\n", + "\n", + " # Find the start and end of the context\n", + " idx = 0\n", + " while sequence_ids[idx] != 1:\n", + " idx += 1\n", + " context_start = idx\n", + " while sequence_ids[idx] == 1:\n", + " idx += 1\n", + " context_end = idx - 1\n", + "\n", + " # If the answer is not fully inside the context, label is (0, 0)\n", + " if offset[context_start][0] > end_char or offset[context_end][1] < start_char:\n", + " start_positions.append(0)\n", + " end_positions.append(0)\n", + " else:\n", + " # Otherwise it's the start and end token positions\n", + " idx = context_start\n", + " while idx <= context_end and offset[idx][0] <= start_char:\n", + " idx += 1\n", + " start_positions.append(idx - 1)\n", + "\n", + " idx = context_end\n", + " while idx >= context_start and offset[idx][1] >= end_char:\n", + " idx -= 1\n", + " end_positions.append(idx + 1)\n", + "\n", + " inputs[\"start_positions\"] = start_positions\n", + " inputs[\"end_positions\"] = end_positions\n", + " return inputs" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 67, + "referenced_widgets": [ + "54d02344dd6543d987b137f07f301c44", + "88960bbca9c740d380e8059f34599521", + "8e56867f944947f2bf5f31c8128ab9dc", + "be3b6ac5d83a46dc86eb0aa672af4595", + "793e607a71264ad080a17d3db281352d", + "cb0d6acce7e94a5ab1d657448bc4e8be", + "7a56b6da0a5e4e08899e9a50754e59fe", + "3b3dc767a47c470181500c5b67baa07a", + "b58923a82c9641abb75d5eb087fe2a41", + "031a2336bcd44313895bcf7cf723e424", + "b39e3de8b722469b931b90f91ef580ef" + ] }, + "id": "OAnBrZqW6Oku", + "outputId": "243bd730-dd06-41ce-ce3f-ef3074a28521" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "validation_dataset = datasets[\"XXXX\"].map( # จัดการ validation data\n", - " preprocess_validation_examples,\n", - " batched=True,\n", - " remove_columns=datasets[\"XXXX\"].column_names,\n", - ")\n", - "len(datasets[\"XXXX\"]), len(validation_dataset)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 67, - "referenced_widgets": [ - "a042e9da7eec48c9bad1d418d7a19146", - "1bc80a0323ab4d86aae657346641564b", - "8490016d0a9a4524b3dd4d9855d35312", - "2caf713c26b64c98bbb3391c4103a33d", - "bad91aec923a47768cb4d128ce86836e", - "d11e51935a4a48ec950756f079cfc0bf", - "d58b87c5293a49a69c1fa6e642a587a0", - "b5e613015ee04e46bb7813666865630c", - "fe8208fa839344dabd3ae4451d8099cb", - "f6eeedb2b50e488fb07d4b5518d54cc7", - "76ebafd4108349cdb47e8248962241a5" - ] - }, - "id": "B5tCWrmA7PqG", - "outputId": "0ce4b5b3-f1e6-4803-b405-38032545eb91" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "54d02344dd6543d987b137f07f301c44", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - " 0%| | 0/1 [00:00 max_answer_length.\n", - " if (\n", - " end_index < start_index\n", - " or end_index - start_index + 1 > max_answer_length\n", - " ):\n", - " continue\n", - "\n", - " answers.append(\n", - " {\n", - " \"text\": context[offsets[start_index][0] : offsets[end_index][1]],\n", - " \"logit_score\": start_logit[start_index] + end_logit[end_index],\n", - " }\n", - " )\n", - "\n", - " best_answer = max(answers, key=lambda x: x[\"logit_score\"])\n", - " predicted_answers.append({\"id\": example_id, \"prediction_text\": best_answer[\"text\"]})" - ], - "metadata": { - "id": "CnXOE01D8evH" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9d4617ae9aa94f138fe6880ee1a138b9", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "# โหลด metric" - ], - "metadata": { - "id": "cs4BaTTP8iw2" - } + "text/plain": [ + "Downloading: 0%| | 0.00/1.33M [00:00 max_answer_length.\n", + " if (\n", + " end_index < start_index\n", + " or end_index - start_index + 1 > max_answer_length\n", + " ):\n", + " continue\n", + "\n", + " answers.append(\n", + " {\n", + " \"text\": context[offsets[start_index][0] : offsets[end_index][1]],\n", + " \"logit_score\": start_logit[start_index] + end_logit[end_index],\n", + " }\n", + " )\n", + "\n", + " best_answer = max(answers, key=lambda x: x[\"logit_score\"])\n", + " predicted_answers.append({\"id\": example_id, \"prediction_text\": best_answer[\"text\"]})" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "cs4BaTTP8iw2" + }, + "source": [ + "# โหลด metric" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "jnRf3sPr8hqS" + }, + "outputs": [], + "source": [ + "metric = squad_newmm_metric # โหลด F1 กับ exact match มา" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "JR0jQrFL8yK2" + }, + "outputs": [], + "source": [ + "theoretical_answers = [ \n", + " {\"id\": ex[\"question_id\"], \"answers\": {'text': ex[ANSWERS_COL][TEXT_COL],\n", + " 'answer_start':ex[ANSWERS_COL][START_COL]}} for ex in small_eval_set\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "oP-8MXLs81eI", + "outputId": "0aba6a12-9e18-4445-dbc5-e4c88ef288f7" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "from tqdm.auto import tqdm\n", - "\n", - "\n", - "def compute_metrics(start_logits, end_logits, features, examples):\n", - " example_to_features = collections.defaultdict(list)\n", - " for idx, feature in enumerate(features):\n", - " example_to_features[feature[\"example_id\"]].append(idx)\n", - "\n", - " predicted_answers = []\n", - " for example in tqdm(examples):\n", - " example_id = example[\"question_id\"]\n", - " context = example[\"context\"]\n", - " answers = []\n", - "\n", - " # Loop through all features associated with that example\n", - " for feature_index in example_to_features[example_id]:\n", - " start_logit = start_logits[feature_index]\n", - " end_logit = end_logits[feature_index]\n", - " offsets = features[feature_index][\"offset_mapping\"]\n", - "\n", - " start_indexes = np.argsort(start_logit)[-1 : -n_best - 1 : -1].tolist()\n", - " end_indexes = np.argsort(end_logit)[-1 : -n_best - 1 : -1].tolist()\n", - " for start_index in start_indexes:\n", - " for end_index in end_indexes:\n", - " # Skip answers that are not fully in the context\n", - " if offsets[start_index] is None or offsets[end_index] is None:\n", - " continue\n", - " # Skip answers with a length that is either < 0 or > max_answer_length\n", - " if (\n", - " end_index < start_index\n", - " or end_index - start_index + 1 > max_answer_length\n", - " ):\n", - " continue\n", - "\n", - " answer = {\n", - " \"text\": context[offsets[start_index][0] : offsets[end_index][1]],\n", - " \"logit_score\": start_logit[start_index] + end_logit[end_index],\n", - " }\n", - " answers.append(answer)\n", - "\n", - " # Select the answer with the best score\n", - " if len(answers) > 0:\n", - " best_answer = max(answers, key=lambda x: x[\"logit_score\"])\n", - " predicted_answers.append(\n", - " {\"id\": example_id, \"prediction_text\": best_answer[\"text\"]}\n", - " )\n", - " else:\n", - " predicted_answers.append({\"id\": example_id, \"prediction_text\": \"\"})\n", - "\n", - " theoretical_answers = [{\"id\": ex[\"question_id\"], \"answers\": {'text': ex[ANSWERS_COL][TEXT_COL],\n", - " 'answer_start':ex[ANSWERS_COL][START_COL]}} for ex in examples]\n", - " return metric.compute(predictions=predicted_answers, references=theoretical_answers)" - ], - "metadata": { - "id": "Xe1-mOgJ8-Zb" - }, - "execution_count": null, - "outputs": [] + "name": "stdout", + "output_type": "stream", + "text": [ + "{'id': '0U2lA8nJQESIxbZrjZQc_000', 'prediction_text': '1 พฤศจิกายน พ.ศ. 2476 '}\n", + "{'id': '0U2lA8nJQESIxbZrjZQc_000', 'answers': {'text': ['1 พฤศจิกายน พ.ศ. 2476'], 'answer_start': [24]}}\n" + ] + } + ], + "source": [ + "print(predicted_answers[0])\n", + "print(theoretical_answers[0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "88g3NQn-88Q0", + "outputId": "47e5bca4-bf29-4e2c-ce59-a98c2ae2e54f" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "compute_metrics(start_logits, end_logits, eval_set, small_eval_set)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 67, - "referenced_widgets": [ - 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answers.append(answer)\n", + "\n", + " # Select the answer with the best score\n", + " if len(answers) > 0:\n", + " best_answer = max(answers, key=lambda x: x[\"logit_score\"])\n", + " predicted_answers.append(\n", + " {\"id\": example_id, \"prediction_text\": best_answer[\"text\"]}\n", + " )\n", + " else:\n", + " predicted_answers.append({\"id\": example_id, \"prediction_text\": \"\"})\n", + "\n", + " theoretical_answers = [{\"id\": ex[\"question_id\"], \"answers\": {'text': ex[ANSWERS_COL][TEXT_COL],\n", + " 'answer_start':ex[ANSWERS_COL][START_COL]}} for ex in examples]\n", + " return metric.compute(predictions=predicted_answers, references=theoretical_answers)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 67, + "referenced_widgets": [ + "fef7224e23134a299b9469a43a1750f8", + "0d8559d6873543aca10aa5bf0ea68bd1", + "77250c2a94f84e18b01d710d2bb45333", + "358fb9404f30427e9aa1a6be437e660a", 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Building wheel for sentence-transformers (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for sentence-transformers: filename=sentence_transformers-2.1.0-py3-none-any.whl size=120999 sha256=a9f64ab283d2961df894b020b245860533895869a2ac7c1ea88c2c1e5356553d\n", + " Stored in directory: /root/.cache/pip/wheels/90/f0/bb/ed1add84da70092ea526466eadc2bfb197c4bcb8d4fa5f7bad\n", + " Building wheel for sacremoses (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for sacremoses: filename=sacremoses-0.0.53-py3-none-any.whl size=895260 sha256=a498f19b18b975df5336d47589eb247947e1499d52510325c9c3eb9bae823423\n", + " Stored in directory: /root/.cache/pip/wheels/87/39/dd/a83eeef36d0bf98e7a4d1933a4ad2d660295a40613079bafc9\n", + "Successfully built sentence-transformers sacremoses\n", + "Installing collected packages: pyyaml, tokenizers, sacremoses, huggingface-hub, transformers, sentencepiece, sentence-transformers\n", + " Attempting uninstall: pyyaml\n", + " Found existing installation: PyYAML 3.13\n", + " Uninstalling PyYAML-3.13:\n", + " Successfully uninstalled PyYAML-3.13\n", + "Successfully installed huggingface-hub-0.5.1 pyyaml-6.0 sacremoses-0.0.53 sentence-transformers-2.1.0 sentencepiece-0.1.96 tokenizers-0.12.1 transformers-4.18.0\n" + ] } + ], + "source": [ + "!pip install sentence_transformers==2.2.2" + ] }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# บทที่ 6n - การเทรนโมเดลบน Hugging Face พาร์ท 2.3" - ], - "metadata": { - "id": "-yNWhQ22zzwS" - } + { + "cell_type": "markdown", + "metadata": { + "id": "JZqud3AMQz-h" + }, + "source": [ + "# โจทย์วันนี้: สร้าง Sentence Embedding โดยใช้ Sentence-transformer Library" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "QR9eUcuQczvK" + }, + "source": [ + "# Sentence-transformer?\n", + "Sentence-transformer เป็น library สำหรับสร้าง/เทรน sentence representation จาก transformer (ซึ่งรองรับทุกโมเดลบน Hugging Face)\n", + "\n", + "# หลักการทำงาน?\n", + "เมื่อเรากำหนด language model ขึ้นมา (ในรูปเป็น BERT) เมื่อป้อน input เข้าไปแล้ว output จาก BERT จะออกมาเป็น embedding ของคำแต่ละคำ จากนั้นเราจะทำการรวม embedding หรือ pooling เพื่อสร้าง sentence representation \n", + "\n", + "![image.png](data:image/png;base64,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)\n", + "\n", + "\n", + "# ข้อดี?\n", + "* ทำงานได้กับทุกโมเดลของ Hugging Face 100%\n", + "* โมเดล sentence representation ที่ดีที่สุดในขณะนี้ก็ถูกสร้างบน sentence-transformer\n", + "* ง่าย ไม่ว่าจะเทรนหรือใช้งาน\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "f7pj8DvHrxNO" + }, + "outputs": [], + "source": [ + "from sentence_transformers import SentenceTransformer, InputExample\n", + "from sentence_transformers import models, losses\n", + "from sentence_transformers.evaluation import EmbeddingSimilarityEvaluator\n", + "from torch.utils.data import DataLoader\n", + "import numpy as np" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "KZA8_9_CeZJU" + }, + "source": [ + "# โหลดโมเดล WangchanBERTa" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "oakllGudc3gB", + "outputId": "2fadb0e8-1097-48e2-fb8a-b9986c60e1ee" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/ai-builders/curriculum/blob/main/notebooks/06n_Sentence_Representation.ipynb)\n" - ], - "metadata": { - "id": "oUN-xJfXzzrX" - } + "name": "stderr", + "output_type": "stream", + "text": [ + "Some weights of the model checkpoint at airesearch/wangchanberta-base-att-spm-uncased were not used when initializing CamembertModel: ['lm_head.decoder.bias', 'lm_head.dense.bias', 'lm_head.layer_norm.bias', 'lm_head.layer_norm.weight', 'lm_head.dense.weight', 'lm_head.decoder.weight', 'lm_head.bias']\n", + "- This IS expected if you are initializing CamembertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", + "- This IS NOT expected if you are initializing CamembertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n" + ] + } + ], + "source": [ + "# LM models \n", + "model_name = 'airesearch/wangchanberta-base-att-spm-uncased' # Load Thai LM model (WangchanBERTa) or multilingual model i.e., bert-base-multilingual\n", + "word_embedding_model = models.Transformer(model_name, max_seq_length=32)\n", + "pooling_model = models.Pooling(word_embedding_model.get_word_embedding_dimension(),pooling_mode='cls') # We use a [CLS] token as representation\n", + "model = SentenceTransformer(modules=[word_embedding_model, pooling_model])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Q50eU75XSQj_" + }, + "source": [ + "ตัวอย่าง:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "iMHz4Uy0fvZG" + }, + "outputs": [], + "source": [ + "a_vec = model.encode(['วันนี้อากาศดีมาก','ฉันกินข้าวแล้ว','Bad weather','Im not hungry'],normalize_embeddings=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "6c4VfPXJfK-p", + "outputId": "fb2db5aa-d5bd-49b4-99be-98bcbd90c5b9" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "!pip install sentence_transformers==2.1.0" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "JLD5dHmjc0uE", - "outputId": "f9c48a77-dc35-4cde-95fd-f6eabef1b09b" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Collecting sentence_transformers==2.1.0\n", - " Downloading sentence-transformers-2.1.0.tar.gz (78 kB)\n", - "\u001b[K |████████████████████████████████| 78 kB 5.8 MB/s \n", - "\u001b[?25hCollecting transformers<5.0.0,>=4.6.0\n", - " Downloading transformers-4.18.0-py3-none-any.whl (4.0 MB)\n", - "\u001b[K |████████████████████████████████| 4.0 MB 41.3 MB/s \n", - "\u001b[?25hCollecting tokenizers>=0.10.3\n", - 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installation: PyYAML 3.13\n", - " Uninstalling PyYAML-3.13:\n", - " Successfully uninstalled PyYAML-3.13\n", - "Successfully installed huggingface-hub-0.5.1 pyyaml-6.0 sacremoses-0.0.53 sentence-transformers-2.1.0 sentencepiece-0.1.96 tokenizers-0.12.1 transformers-4.18.0\n" - ] - } + "data": { + "text/plain": [ + "array([[0.261884 , 0.5279449 , 0.26951724, 0.28135484]], dtype=float32)" ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "b = model.encode(['วันนี้อากาศดี'],normalize_embeddings=True)\n", + "np.inner(b,a_vec)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "FEledICle2Nm", + "outputId": "e8dffce6-4f1b-4de7-ad0b-feb9783a8782" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# โจทย์วันนี้: สร้าง Sentence Embedding โดยใช้ Sentence-transformer Library" - ], - "metadata": { - "id": "JZqud3AMQz-h" - } - }, - { - "cell_type": "markdown", - "source": [ - "# Sentence-transformer?\n", - "Sentence-transformer เป็น library สำหรับสร้าง/เทรน sentence representation จาก transformer (ซึ่งรองรับทุกโมเดลบน Hugging Face)\n", - "\n", - "# หลักการทำงาน?\n", - "เมื่อเรากำหนด language model ขึ้นมา (ในรูปเป็น BERT) เมื่อป้อน input เข้าไปแล้ว output จาก BERT จะออกมาเป็น embedding ของคำแต่ละคำ จากนั้นเราจะทำการรวม embedding หรือ pooling เพื่อสร้าง sentence representation \n", - "\n", - "![image.png](data:image/png;base64,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)\n", - "\n", - "\n", - "# ข้อดี?\n", - "* ทำงานได้กับทุกโมเดลของ Hugging Face 100%\n", - "* โมเดล sentence representation ที่ดีที่สุดในขณะนี้ก็ถูกสร้างบน sentence-transformer\n", - "* ง่าย ไม่ว่าจะเทรนหรือใช้งาน\n" - ], - "metadata": { - "id": "QR9eUcuQczvK" - } - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "f7pj8DvHrxNO" - }, - "outputs": [], - "source": [ - "from sentence_transformers import SentenceTransformer, InputExample\n", - "from sentence_transformers import models, losses\n", - "from sentence_transformers.evaluation import EmbeddingSimilarityEvaluator\n", - "from torch.utils.data import DataLoader\n", - "import numpy as np" - ] + "name": "stdout", + "output_type": "stream", + "text": [ + "--2022-05-07 06:07:34-- https://github.com/PyThaiNLP/ThaiWiki-clean/releases/download/20210620/wiki_20210620_clean.txt\n", + "Resolving github.com (github.com)... 140.82.114.4\n", + "Connecting to github.com (github.com)|140.82.114.4|:443... connected.\n", + "HTTP request sent, awaiting response... 302 Found\n", + "Location: https://objects.githubusercontent.com/github-production-release-asset-2e65be/380696551/63dd3600-da07-11eb-9a1f-00b304d3a133?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20220507%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20220507T060734Z&X-Amz-Expires=300&X-Amz-Signature=d6834d97b9ab51050059f51a2018561f08c1bd7653a2f0a1816d3449eb830a7e&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=380696551&response-content-disposition=attachment%3B%20filename%3Dwiki_20210620_clean.txt&response-content-type=application%2Foctet-stream [following]\n", + "--2022-05-07 06:07:34-- https://objects.githubusercontent.com/github-production-release-asset-2e65be/380696551/63dd3600-da07-11eb-9a1f-00b304d3a133?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20220507%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20220507T060734Z&X-Amz-Expires=300&X-Amz-Signature=d6834d97b9ab51050059f51a2018561f08c1bd7653a2f0a1816d3449eb830a7e&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=380696551&response-content-disposition=attachment%3B%20filename%3Dwiki_20210620_clean.txt&response-content-type=application%2Foctet-stream\n", + "Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.111.133, 185.199.108.133, 185.199.109.133, ...\n", + "Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.111.133|:443... connected.\n", + "HTTP request sent, awaiting response... 200 OK\n", + "Length: 615923775 (587M) [application/octet-stream]\n", + "Saving to: ‘wiki_20210620_clean.txt’\n", + "\n", + "wiki_20210620_clean 100%[===================>] 587.39M 105MB/s in 5.9s \n", + "\n", + "2022-05-07 06:07:40 (100 MB/s) - ‘wiki_20210620_clean.txt’ saved [615923775/615923775]\n", + "\n" + ] + } + ], + "source": [ + "!wget https://github.com/PyThaiNLP/ThaiWiki-clean/releases/download/20210620/wiki_20210620_clean.txt" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "scxKy9_6hH97" + }, + "source": [ + "# แล้วจะให้โมเดลเรียนรู้ประโยคยังไง?\n", + "# วันนี้จะใช้ท่าจากเปเปอร์ => SimCSE:Simple Contrastive Learning of Sentence Embeddings\n", + "Paper: https://arxiv.org/pdf/2104.08821.pdf\n", + "\n", + "![Screen Shot 2022-01-20 at 3.06.40 PM.png](data:image/png;base64,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)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "T1oEPzj7SkSM" + }, + "source": [ + "# ทำไมต้อง SimCSE?\n", + "* เทรนง่าย ไม่ต้อง setup อะไรยุ่งยาก\n", + "* ใช้งานได้กับทุกโมเดล ทุกภาษา\n", + "* ไม่จำเป็นต้องมี label (Unsupervised Learning)\n", + "* ประสิทธิภาพเทียบเท่ากับ Supervised Learning" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "rlFkCB3RS2My" + }, + "source": [ + "# อะไรคือ Unsupervised Learning บน representation learning?\n", + "เป็นวิธีการเรียนรู้ของโมเดลโดยที่ไม่ต้องใช้การกำกับในแต่ละข้อมูลว่าเป็นข้อมูลประเภทใด (labeled data) โดยหลักการของ Unsupervised บน representation จะเน้นไปที่ \"เราต้องการให้ข้อมูลแบบเดียวกัน ที่มาจากการทำ data augmentation ที่ต่างกัน มี vector ที่คล้ายกัน\"\n", + "![download (1).png](data:image/png;base64,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)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "jqbnkLJkexIG" + }, + "outputs": [], + "source": [ + "train_sentences = open('/content/wiki_20210620_clean.txt').readlines()[:100000] # only first 100k sentences\n", + "# Convert train sentences to sentence pairs\n", + "train_data = [InputExample(texts=[s, s]) for s in train_sentences]\n", + "# DataLoader to batch your data\n", + "train_dataloader = DataLoader(train_data, batch_size=64, shuffle=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Bn3OYzoJg7dN" + }, + "source": [ + "# Data Augmentation?\n", + "\n", + "![49935094-73f99c80-ff13-11e8-8ba5-50a008ed4d20.png](data:image/png;base64,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)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "bxu9Lwq7TiKi" + }, + "source": [ + "# ภาพรวม" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "wd4s83Hki5xM" + }, + "source": [ + "![Untitled Diagram.drawio.png](data:image/png;base64,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)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "22ThdIQXe_fA" + }, + "outputs": [], + "source": [ + "# Contrastive Loss\n", + "train_loss = losses.MultipleNegativesRankingLoss(model) # Contrastive Loss" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "K48-f6WuheMf" + }, + "source": [ + "# Contrastive (InfoNCE)\n", + "\n", + "![1_sjZhFyflwCW7vcg0G9m7iw.png](data:image/png;base64,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)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Dm2xvSl_hpcW" + }, + "source": [ + "# ตัวแปรแต่ละตัวหมายถึง?\n", + "z_i = anchor (ประโยคที่สนใจ) สามารถสุ่มมาจาก training data ได้เลย\n", + "z_j = positive (ประโยคที่คู่กับ anchor) ซึ่งในที่นี้เราสร้างจาก data augmentation\n", + "z_k = negative (ประโยคที่ไม่ได้คู่กับ anchor) ในที่นี้หมายถึงประโยคที่เหลือ (ที่ไม่ใช่ anchor กับ positive) \n", + "\n", + "# จุดประสงค์ของ Contrastive?\n", + "* เราต้องการให้ z_i กับ z_j มี similarity มากที่สุด\n", + "* ขณะเดียวกัน เราต้องการให้ z_i กับประโยคที่เหลือ มี similarity น้อยที่สุด\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "PH7YACpFoRWP" + }, + "outputs": [], + "source": [ + "vector_anchor = np.array([1,1.5,2,4,7]) / np.linalg.norm(np.array([1,1.5,2,4,7]))\n", + "vector_positive = np.array([1,4.5,2,5,8]) / np.linalg.norm(np.array([1,4.5,2,5,8]))\n", + "vector_negative = np.array([12,55,77,88,12]) / np.linalg.norm(np.array([12,55,77,88,12]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "bih6J_KovmOk", + "outputId": "43248347-4606-4050-a809-9b8e3d0e6983" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# โหลดโมเดล WangchanBERTa" - ], - "metadata": { - "id": "KZA8_9_CeZJU" - } + "name": "stdout", + "output_type": "stream", + "text": [ + "Anchor-Positive:0.9658286745498281, Anchor-Negative:0.6178868703684681\n" + ] + } + ], + "source": [ + "print(f\"Anchor-Positive:{np.inner(vector_anchor,vector_positive)}, Anchor-Negative:{np.inner(vector_anchor,vector_negative)}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "tvbgPTprwX7D" + }, + "outputs": [], + "source": [ + "vector_hard_negative = np.array([1,7,2,8,8]) / np.linalg.norm(np.array([1,7,2,8,8]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "f6l4Um4svz-k", + "outputId": "19eabf2b-5d96-455b-db3d-fc69c294fd23" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "# LM models \n", - "model_name = 'airesearch/wangchanberta-base-att-spm-uncased' # Load Thai LM model (WangchanBERTa) or multilingual model i.e., bert-base-multilingual\n", - "word_embedding_model = models.Transformer(model_name, max_seq_length=32)\n", - "pooling_model = models.Pooling(word_embedding_model.get_word_embedding_dimension(),pooling_mode='cls') # We use a [CLS] token as representation\n", - "model = SentenceTransformer(modules=[word_embedding_model, pooling_model])" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "oakllGudc3gB", - "outputId": "2fadb0e8-1097-48e2-fb8a-b9986c60e1ee" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "Some weights of the model checkpoint at airesearch/wangchanberta-base-att-spm-uncased were not used when initializing CamembertModel: ['lm_head.decoder.bias', 'lm_head.dense.bias', 'lm_head.layer_norm.bias', 'lm_head.layer_norm.weight', 'lm_head.dense.weight', 'lm_head.decoder.weight', 'lm_head.bias']\n", - "- This IS expected if you are initializing CamembertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", - "- This IS NOT expected if you are initializing CamembertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n" - ] - } - ] + "name": "stdout", + "output_type": "stream", + "text": [ + "Anchor-Positive:0.9658286745498281, Anchor-Negative:0.9025800502873408\n" + ] + } + ], + "source": [ + "print(f\"Anchor-Positive:{np.inner(vector_anchor,vector_positive)}, Anchor-Negative:{np.inner(vector_anchor,vector_hard_negative)}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "hjmEDyX1wkzV", + "outputId": "c63cd643-d12b-4406-f68b-42b591bfcb85" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "ตัวอย่าง:" - ], - "metadata": { - "id": "Q50eU75XSQj_" - } + "name": "stdout", + "output_type": "stream", + "text": [ + "Anchor-Positive:96.5828674549828, Anchor-Negative:90.25800502873408\n" + ] + } + ], + "source": [ + "temp = 0.01\n", + "print(f\"Anchor-Positive:{np.inner(vector_anchor,vector_positive)/temp}, Anchor-Negative:{np.inner(vector_anchor,vector_hard_negative)/temp}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "WRHcFbbPkmpy" + }, + "source": [ + "# Evaluation: STS data\n", + "เป็นดาต้าเซ็ตคู่ ที่เอาไว้บ่งบอกว่าประโยคแรก และ ประโยคที่สองมีความสัมพันธ์กันอย่างไรเช่น\n", + "\"ผู้ชายกำลังเล่นพิณ\" กับ \"ผู้ชายกำลังเล่นแป้นพิมพ์\" จะมีความสัมพันธ์กันอยู่ที่ 1.5 คะแนน (เต็ม 5) ซึ่งคะแนนเหล่านี้มาจากกฏของภาษาศาสตร์" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "n3BQjHKsjTmg", + "outputId": "193b9806-12ee-413e-ed8f-2bd48be53719" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "a_vec = model.encode(['วันนี้อากาศดีมาก','ฉันกินข้าวแล้ว','Bad weather','Im not hungry'],normalize_embeddings=True)" - ], - "metadata": { - "id": "iMHz4Uy0fvZG" - }, - "execution_count": null, - "outputs": [] + "name": "stdout", + "output_type": "stream", + "text": [ + "--2022-05-07 06:14:54-- https://raw.githubusercontent.com/mrpeerat/Thai-Sentence-Vector-Benchmark/main/sts-test_th.csv\n", + "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.111.133, 185.199.109.133, ...\n", + "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.\n", + "HTTP request sent, awaiting response... 200 OK\n", + "Length: 335675 (328K) [text/plain]\n", + "Saving to: ‘sts-test_th.csv’\n", + "\n", + "\r", + "sts-test_th.csv 0%[ ] 0 --.-KB/s \r", + "sts-test_th.csv 100%[===================>] 327.81K --.-KB/s in 0.003s \n", + "\n", + "2022-05-07 06:14:55 (103 MB/s) - ‘sts-test_th.csv’ saved [335675/335675]\n", + "\n" + ] + } + ], + "source": [ + "!wget https://raw.githubusercontent.com/mrpeerat/Thai-Sentence-Vector-Benchmark/main/sts-test_th.csv" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Jj_wro7Rj3Qx" + }, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 423 }, + "id": "_UeQHNXkj8Ph", + "outputId": "dfb6436b-6ce9-459b-aa12-8fdc71992226" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "b = model.encode(['วันนี้อากาศดี'],normalize_embeddings=True)\n", - "np.inner(b,a_vec)" + "data": { + "text/html": [ + "\n", + "

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0main-captionsMSRvid2012test24.02.50ผู้หญิงมีสไตล์ผมของเธอผู้หญิงแปรงผมของเธอ
1main-captionsMSRvid2012test33.03.60กลุ่มผู้ชายเล่นฟุตบอลบนชายหาดกลุ่มเด็กชายกำลังเล่นฟุตบอลบนชายหาด
2main-captionsMSRvid2012test45.05.00ผู้หญิงคนหนึ่งกำลังวัดข้อเท้าของผู้หญิงอีกคนหนึ่งผู้หญิงวัดข้อเท้าของผู้หญิงอีกคนหนึ่ง
3main-captionsMSRvid2012test63.04.20ผู้ชายกำลังตัดแตงกวาชายคนหนึ่งกำลังหั่นแตงกวา
4main-captionsMSRvid2012test66.01.50ผู้ชายกำลังเล่นพิณผู้ชายกำลังเล่นแป้นพิมพ์
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1115main-newsMSRpar2012train669.02.75สังฆมณฑล Episcopal ของ Central Florida กลายเป็...สังฆมณฑล Episcopal แห่งเซ็นทรัลฟลอริด้าโหวตวัน...
1116main-newsMSRpar2012train679.02.25McGill ยังมีรายละเอียดหลุมที่ถูกตัดในลำตัวของ ...McGill ยังกล่าวอีกว่าถุงมือดำถูกยัดเข้าไปในหลุ...
1117main-newsMSRpar2012train693.03.20เมื่อเทียบกับกำไรปีก่อนหน้า 102 ล้านดอลลาร์หรื...นั่นเป็นมากกว่าสองเท่าของ $ 102 ล้านหรือ 13 เซ...
1118main-newsMSRpar2012train695.04.75NaNNaN
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"execute_result" + } + ], + "source": [ + "df = pd.read_csv('/content/sts-test_th.csv', header=None)\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "XxuscS5skPxz" + }, + "outputs": [], + "source": [ + "test_data = df.dropna().values.tolist()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "uDErKhm0jUth" + }, + "outputs": [], + "source": [ + "test_samples = []\n", + "for row in test_data:\n", + " score = float(row[4]) / 5.0 # Normalize score to range 0 ... 1\n", + " test_samples.append(InputExample(texts=[row[5], row[6]], label=score)) # \n", + "test_evaluator = EmbeddingSimilarityEvaluator.from_input_examples(test_samples, batch_size=32, name='sts-test')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "12Fud_ZgkvBG", + "outputId": "e2dd5c4e-a81f-4277-b49e-d9e3f2d0c792" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "!wget https://github.com/PyThaiNLP/ThaiWiki-clean/releases/download/20210620/wiki_20210620_clean.txt" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "FEledICle2Nm", - "outputId": "e8dffce6-4f1b-4de7-ad0b-feb9783a8782" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "--2022-05-07 06:07:34-- https://github.com/PyThaiNLP/ThaiWiki-clean/releases/download/20210620/wiki_20210620_clean.txt\n", - "Resolving github.com (github.com)... 140.82.114.4\n", - "Connecting to github.com (github.com)|140.82.114.4|:443... connected.\n", - "HTTP request sent, awaiting response... 302 Found\n", - "Location: https://objects.githubusercontent.com/github-production-release-asset-2e65be/380696551/63dd3600-da07-11eb-9a1f-00b304d3a133?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20220507%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20220507T060734Z&X-Amz-Expires=300&X-Amz-Signature=d6834d97b9ab51050059f51a2018561f08c1bd7653a2f0a1816d3449eb830a7e&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=380696551&response-content-disposition=attachment%3B%20filename%3Dwiki_20210620_clean.txt&response-content-type=application%2Foctet-stream [following]\n", - "--2022-05-07 06:07:34-- 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"wiki_20210620_clean 100%[===================>] 587.39M 105MB/s in 5.9s \n", - "\n", - "2022-05-07 06:07:40 (100 MB/s) - ‘wiki_20210620_clean.txt’ saved [615923775/615923775]\n", - "\n" - ] - } + "data": { + "text/plain": [ + "0.17495662675345086" ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_evaluator(model)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 136, + "referenced_widgets": [ + "1f8ac9a6c3b64b7c8e4063fb4ac5f607", + "64ba8a303cf442b99151cf338d92d1ab", + "421a4a09102f421eba92a6ccd6ca9fc1", + "1d46dee3a9ee4afea83407be3587bc38", + "bb589540ffd34a11a9d7e9503c9b2ab4", + "c7a64693f0324a7e9003fc0fdba37e18", + "7d7a185b2ba549c9a859eb619cb1f479", + "d64a8a7308ca494f91dc7dcec018b293", + "868a061809e24ef3aaa05afa59099c0b", + "af349f9b6ff1493182361c6c37bfe506", + "1ac0e0da12664df0a9f127729b5ab7b0", + "69b7e8598ec64e42a6acbc6c76ef6be1", + "8b1f4a2f82964e29be3308243f286078", + "69dfed2dc8b74aa99d86d7e3a1a23fd2", + "a63b9cedacb14be1a58d563a795eba8b", + "c5fdc70c7cf9441894b9afaf05ac7d76", + "70f9c0e553fb4501bfc61ed8a5db44b5", + "e9a8446a33434c9a955210334fbc0220", + "95a1741c86364993932afb1757d9defa", + "6d57fed1b58e4cb3a9632429b6e8c651", + "6918516cea014dd3a53f19097e39f11b", + "6a64c3c3d2f84df4bda4ca21f798dfba" + ] }, + "id": "yr9nMk2tjFjL", + "outputId": "e06d6a93-5303-49a9-e81d-74edd814fcd1" + }, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# แล้วจะให้โมเดลเรียนรู้ประโยคยังไง?\n", - "# วันนี้จะใช้ท่าจากเปเปอร์ => SimCSE:Simple Contrastive Learning of Sentence Embeddings\n", - "Paper: https://arxiv.org/pdf/2104.08821.pdf\n", - "\n", - "![Screen Shot 2022-01-20 at 3.06.40 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)" - ], - "metadata": { - "id": "scxKy9_6hH97" - } - }, - { - "cell_type": "markdown", - "source": [ - "# ทำไมต้อง SimCSE?\n", - "* เทรนง่าย ไม่ต้อง setup อะไรยุ่งยาก\n", - "* ใช้งานได้กับทุกโมเดล ทุกภาษา\n", - "* ไม่จำเป็นต้องมี label (Unsupervised Learning)\n", - "* ประสิทธิภาพเทียบเท่ากับ Supervised Learning" - ], - "metadata": { - "id": "T1oEPzj7SkSM" - } - }, - { - "cell_type": "markdown", - "source": [ - "# อะไรคือ Unsupervised Learning บน representation learning?\n", - "เป็นวิธีการเรียนรู้ของโมเดลโดยที่ไม่ต้องใช้การกำกับในแต่ละข้อมูลว่าเป็นข้อมูลประเภทใด (labeled data) โดยหลักการของ Unsupervised บน representation จะเน้นไปที่ \"เราต้องการให้ข้อมูลแบบเดียวกัน ที่มาจากการทำ data augmentation ที่ต่างกัน มี vector ที่คล้ายกัน\"\n", - "![download 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)" - ], - "metadata": { - "id": "rlFkCB3RS2My" - } + "name": "stderr", + "output_type": "stream", + "text": [ + "/usr/local/lib/python3.7/dist-packages/transformers/optimization.py:309: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", + " FutureWarning,\n" + ] }, { - "cell_type": "code", - "source": [ - "train_sentences = open('/content/wiki_20210620_clean.txt').readlines()[:100000] # only first 100k sentences\n", - "# Convert train sentences to sentence pairs\n", - "train_data = [InputExample(texts=[s, s]) for s in train_sentences]\n", - "# DataLoader to batch your data\n", - "train_dataloader = DataLoader(train_data, batch_size=64, shuffle=True)" - ], - "metadata": { - "id": "jqbnkLJkexIG" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1f8ac9a6c3b64b7c8e4063fb4ac5f607", + "version_major": 2, + "version_minor": 0 }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "# Data Augmentation?\n", - "\n", - 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0main-captionsMSRvid2012test24.02.50ผู้หญิงมีสไตล์ผมของเธอผู้หญิงแปรงผมของเธอ
1main-captionsMSRvid2012test33.03.60กลุ่มผู้ชายเล่นฟุตบอลบนชายหาดกลุ่มเด็กชายกำลังเล่นฟุตบอลบนชายหาด
2main-captionsMSRvid2012test45.05.00ผู้หญิงคนหนึ่งกำลังวัดข้อเท้าของผู้หญิงอีกคนหนึ่งผู้หญิงวัดข้อเท้าของผู้หญิงอีกคนหนึ่ง
3main-captionsMSRvid2012test63.04.20ผู้ชายกำลังตัดแตงกวาชายคนหนึ่งกำลังหั่นแตงกวา
4main-captionsMSRvid2012test66.01.50ผู้ชายกำลังเล่นพิณผู้ชายกำลังเล่นแป้นพิมพ์
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1115main-newsMSRpar2012train669.02.75สังฆมณฑล Episcopal ของ Central Florida กลายเป็...สังฆมณฑล Episcopal แห่งเซ็นทรัลฟลอริด้าโหวตวัน...
1116main-newsMSRpar2012train679.02.25McGill ยังมีรายละเอียดหลุมที่ถูกตัดในลำตัวของ ...McGill ยังกล่าวอีกว่าถุงมือดำถูกยัดเข้าไปในหลุ...
1117main-newsMSRpar2012train693.03.20เมื่อเทียบกับกำไรปีก่อนหน้า 102 ล้านดอลลาร์หรื...นั่นเป็นมากกว่าสองเท่าของ $ 102 ล้านหรือ 13 เซ...
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Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", - " FutureWarning,\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "Epoch: 0%| | 0/1 [00:00