{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "zJvEl7qvOJjK", "outputId": "e596f78d-f619-480c-e2f5-74535c1e71be" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/480.6 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m \u001b[32m471.0/480.6 kB\u001b[0m \u001b[31m18.8 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m \u001b[32m471.0/480.6 kB\u001b[0m \u001b[31m18.8 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m480.6/480.6 kB\u001b[0m \u001b[31m6.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/116.3 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m116.3/116.3 kB\u001b[0m \u001b[31m3.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/179.3 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m179.3/179.3 kB\u001b[0m \u001b[31m10.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.8/134.8 kB\u001b[0m \u001b[31m8.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m194.1/194.1 kB\u001b[0m \u001b[31m6.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "gcsfs 2024.10.0 requires fsspec==2024.10.0, but you have fsspec 2024.9.0 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0m" ] } ], "source": [ "!pip install transformers datasets sentencepiece torch --quiet\n" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "HSsRstsCce23", "outputId": "70bcc3aa-bd90-4c38-ed4d-598bda84c989" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mounted at /content/drive\n" ] } ], "source": [ "from google.colab import drive\n", "drive.mount('/content/drive')" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 49, "referenced_widgets": [ "42ccdb5a5a9d466ba495673290e0220b", "cb6714ef775f4f57b9fb303ad658b121", "051b1c565ece41f2804ae04a74354d76", "8ccf3ee9ee30418186e118185962e275", "236604b621e64c96a8a9275099f81f7f", "5a1eba7f628748b98a3974686fbfa6a4", "9ed646de43884135a81e797dd310760d", "f614a58aa81a42eb81877d49b0c35dab", "12584f5d22e848568d9279d86b1c88b3", "53832459d58842429ca3e8a709d5d6c7", "ac0d8e8dbace4cd491d84eebddfd6f41" ] }, "id": "01hPoWjWOLmT", "outputId": "08ffea21-71b1-48df-902e-3dc4045ca07f" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "42ccdb5a5a9d466ba495673290e0220b", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Generating train split: 0 examples [00:00, ? examples/s]" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from IPython import get_ipython\n", "from IPython.display import display\n", "# %%\n", "!pip install transformers datasets sentencepiece torch --quiet\n", "\n", "# %%\n", "import os\n", "from datasets import load_dataset\n", "from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, Seq2SeqTrainingArguments, Seq2SeqTrainer\n", "\n", "dataset = load_dataset('json', data_files='Japanese.json')" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "qZZMbqKWdTr8", "outputId": "ad6d4c7b-f897-4a62-e1f8-026782c56f65" }, "outputs": [ { "data": { "text/plain": [ "DatasetDict({\n", " train: Dataset({\n", " features: ['instruction', 'input', 'output'],\n", " num_rows: 66358\n", " })\n", "})" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "id": "bNxUHe5veFyU" }, "outputs": [], "source": [ "\n", "train_data = dataset['train'] # Assuming 'train' is the split name in your dataset\n", "train_valid_dataset = train_data.train_test_split(test_size=0.2, seed=42)\n", "train_data = train_valid_dataset['train']\n", "valid_data = train_valid_dataset['test']" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "id": "MLiWswYXRTHW" }, "outputs": [], "source": [ "train_data_sample=train_data.select(range(50000))\n", "valid_data_sample=valid_data.select(range(1000))" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "kUYoRyfueMA_", "outputId": "c2da4005-876a-47be-d54f-8dc8796b42e2" }, "outputs": [ { "data": { "text/plain": [ "{'instruction': 'ソフトウェア プログラムをデバッグする効果的な方法を提案します。',\n", " 'input': 'nan',\n", " 'output': 'ソフトウェア プログラムをデバッグする効果的な方法の 1 つは、次の手順を含む体系的なアプローチを使用することです。 1. 問題を再現する: デバッグしようとしているエラーまたは問題を一貫して再現してみます。これは、問題の原因を特定し、より効果的に解決策を見つけるのに役立ちます。 2. コードを確認します。コードを 1 行ずつ調べて、ロジックおよび構文のエラーを特定します。これは、変数名を確認し、コードとコメントが同期していることを確認し、バグを引き起こす可能性のあるタイプミスをチェックする良い機会でもあります。 3. デバッガーを使用する: デバッガーは、コードをステップ実行し、変数とその値、プログラムの状態、呼び出しスタックを調べるのに役立ちます。これは、エラーが発生している場所とその原因を特定するのに役立ちます。 4. ログ ステートメントを追加する: ログ ステートメントをコードに追加すると、変数の値、関数呼び出し、データの入出力など、プログラムのフローと状態を追跡するのに役立ちます。その後、ログを分析して、問題の原因を示す可能性のあるパターンや異常を見つけることができます。 5. 単体テストを作成する: 単体テストを作成すると、個々の機能やコンポーネントが期待どおりに動作していることを確認するのに役立ちます。これは、より詳細なレベルで問題を特定して修正するのに役立ちます。 6. 他の人に助けを求める: 他の人に助けを求めることを恐れないでください。問題を他の人と共有すると、新たな視点が得られる可能性があり、以前にも同様の問題に遭遇したことがあり、有益な洞察が得られる可能性があります。これらの手順に従うことで、問題を徹底的に理解し、問題を解決するための最適な行動方針を決定できます。結果を常に文書化して、将来参照して同様の問題を回避できるようにしてください。'}" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_data_sample[0]" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 321, "referenced_widgets": [ "67f992edadfd46c6b6912755e6c3aa8c", "307371a428b04998b3016beebbff7aec", "0e6f7dd805a34396976cfb7291238a0c", "a268a1ac05ea4475b2fe22502b332726", "eea644759f53482391befe66a518064d", "3776fb6ba3cb43f68eecc55064f4c7fc", "af5669be4b9e46deb179d692f9b3c97b", "ecbcbfa54a8448e6873c48fcc499cb49", "e6bde6091d8c449da0710719d8d767c6", "2d3f82030c0d4fb2a664b27d001da401", "d7fe696939f6403a90b1a9d56d2ad6ea", "ed0d9b9fff1c4cb199c449caf2f8bb04", "3c59e3a2600a4af5b3803889e3a0772e", "ae631e61299641a0b39be482c4ada8c1", "3641611730824a688324d6daa514691d", "301aaf62338a4113840f20671f04de4c", "6e1b2d5c45ea43b49b7dce61b7e8d223", "eb54ec0b7d004964bde0fd1c23ce1f55", "361b9b94a4d3410faca3d24f2795dd7f", "1944b2d9bf934a9fa925d2fd312e0d55", "e13367a8bcba4ab78e68630afaf8a5db", "a996652d2fbe4cd397f65d7f61d9936f", "d79162414e7d4f7cac15ee6e510fc5ef", "1ed2b6dbf29941c09195bebd843b0b9e", "ae9746df02b44f8fbb82e9ce861880d5", "cec4125b4fd8482aac34441d3446237a", "f174919b2b8242af8588b797cb54a051", "99b6efc27f664d17957494085c7b2a04", "f261aea75fda446a999a41cbafeb47bf", "420fdd8bd37446438262cff69e6fc405", "01910cf3ad004accb46ee76bc0d40a24", "8d049779d9c8428d8f58931d5f610d49", "a4c415a0de71401e8f197b93411b7a9b", "c0c93285f4ff4d9d95a2d0165b906308", "0221e607ca714646912b7d8d231aa39d", "55ac8946e7a44662946d89308a27ae84", "adb1140b4e184d8b817a43827df8bf20", "d651c37835ac48e0bd3af9dee91f9150", "97e32a2a56604224a97b8d3a6321da08", "84ee2754f4a445a9adf3bfca641a6a95", "c4b6776d94de4f2fb91d9802d17f1486", "ddbf77437e5e4dffab3b5e92f33250ae", "7932fc0b4f864520a798c3b9e4d89fe0", "84b035d213144b7680df32e2a4ce441b" ] }, "id": "oLd_6VaSQjfh", "outputId": "67dcacd3-12a0-4886-c5bf-908f5f0753ac" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n", "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", "You will be able to reuse this secret in all of your notebooks.\n", "Please note that authentication is recommended but still optional to access public models or datasets.\n", " warnings.warn(\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "67f992edadfd46c6b6912755e6c3aa8c", "version_major": 2, "version_minor": 0 }, "text/plain": [ "tokenizer_config.json: 0%| | 0.00/529 [00:00:26: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead.\n", " trainer = Trainer(\n" ] } ], "source": [ "from transformers import MBartForConditionalGeneration, MBart50Tokenizer, Trainer, TrainingArguments\n", "from datasets import DatasetDict\n", "from transformers import Seq2SeqTrainer, Seq2SeqTrainingArguments\n", "# Load mBART model and tokenizer\n", "model_name = \"facebook/mbart-large-50-many-to-many-mmt\"\n", "#tokenizer = MBart50Tokenizer.from_pretrained(model_name)\n", "model = MBartForConditionalGeneration.from_pretrained(model_name)\n", "\n", "\n", "\n", "# Define training arguments\n", "training_args = Seq2SeqTrainingArguments(\n", " output_dir=\"./mbart_translation\",\n", " evaluation_strategy=\"epoch\",\n", " per_device_train_batch_size=32,\n", " per_device_eval_batch_size=32,\n", " learning_rate=5e-5,\n", " weight_decay=0.01,\n", " save_total_limit=3,\n", " num_train_epochs=3,\n", " logging_dir=\"./logs\", # Logs will be saved locally\n", " report_to=[] # Disables reporting to any platform, including wandb\n", ")\n", "\n", "# Trainer\n", "trainer = Trainer(\n", " model=model,\n", " args=training_args,\n", " train_dataset=train_dataset,\n", " eval_dataset=valid_dataset,\n", " tokenizer=tokenizer,\n", ")\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 379 }, "id": "RARbMCBOOw80", "outputId": "8521adb1-cb43-4c9f-96c4-05e2e5b2ec7a" }, "outputs": [ { "data": { "text/html": [ "\n", "
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EpochTraining LossValidation Loss
10.4035000.470134
20.3213000.469350

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py:2817: UserWarning: Moving the following attributes in the config to the generation config: {'max_length': 200, 'early_stopping': True, 'num_beams': 5}. You are seeing this warning because you've set generation parameters in the model config, as opposed to in the generation config.\n", " warnings.warn(\n" ] }, { "data": { "text/html": [ "\n", "

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EpochTraining LossValidation Loss
10.4035000.470134
20.3213000.469350
30.2596000.484700

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "TrainOutput(global_step=4689, training_loss=0.3703357072546681, metrics={'train_runtime': 4954.3891, 'train_samples_per_second': 30.276, 'train_steps_per_second': 0.946, 'total_flos': 4.06336831488e+16, 'train_loss': 0.3703357072546681, 'epoch': 3.0})" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Fine-tune\n", "trainer.train()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Yd_wOhVSS65Y", "outputId": "1bfea815-4aa7-460a-8d8f-d462c7c22d81" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "You are using a model of type mbart to instantiate a model of type t5. This is not supported for all configurations of models and can yield errors.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Mounted at /content/drive\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Some weights of T5ForConditionalGeneration were not initialized from the model checkpoint at ./mbart_translation/checkpoint-4689 and are newly initialized: ['decoder.block.0.layer.0.SelfAttention.k.weight', 'decoder.block.0.layer.0.SelfAttention.o.weight', 'decoder.block.0.layer.0.SelfAttention.q.weight', 'decoder.block.0.layer.0.SelfAttention.relative_attention_bias.weight', 'decoder.block.0.layer.0.SelfAttention.v.weight', 'decoder.block.0.layer.0.layer_norm.weight', 'decoder.block.0.layer.1.EncDecAttention.k.weight', 'decoder.block.0.layer.1.EncDecAttention.o.weight', 'decoder.block.0.layer.1.EncDecAttention.q.weight', 'decoder.block.0.layer.1.EncDecAttention.v.weight', 'decoder.block.0.layer.1.layer_norm.weight', 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'encoder.block.9.layer.0.SelfAttention.o.weight', 'encoder.block.9.layer.0.SelfAttention.q.weight', 'encoder.block.9.layer.0.SelfAttention.v.weight', 'encoder.block.9.layer.0.layer_norm.weight', 'encoder.block.9.layer.1.DenseReluDense.wi.weight', 'encoder.block.9.layer.1.DenseReluDense.wo.weight', 'encoder.block.9.layer.1.layer_norm.weight', 'encoder.embed_tokens.weight', 'encoder.final_layer_norm.weight', 'lm_head.weight', 'shared.weight']\n", "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", "/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py:2817: UserWarning: Moving the following attributes in the config to the generation config: {'forced_eos_token_id': 2}. You are seeing this warning because you've set generation parameters in the model config, as opposed to in the generation config.\n", " warnings.warn(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Model successfully saved to /content/drive/My Drive/translation_models_eng/\n" ] } ], "source": [ "from google.colab import drive\n", "import os\n", "from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, T5ForConditionalGeneration\n", "\n", "# Mount Google Drive\n", "drive.mount('/content/drive')\n", "\n", "# Define the Google Drive directory\n", "drive_path = \"/content/drive/My Drive/translation_models_eng/\"\n", "\n", "# Create the directory if it doesn't exist\n", "os.makedirs(drive_path, exist_ok=True)\n", "\n", "# Updated model_dir to match the output_dir in training arguments\n", "model_dir = \"./mbart_translation\"\n", "\n", "# Find the latest checkpoint directory\n", "import glob\n", "checkpoint_dir = max(glob.glob(os.path.join(model_dir, 'checkpoint-*')), key=os.path.getmtime)\n", "\n", "# Load the trained model and tokenizer from the checkpoint directory\n", "model = T5ForConditionalGeneration.from_pretrained(checkpoint_dir) # Load from checkpoint\n", "tokenizer = AutoTokenizer.from_pretrained(checkpoint_dir) # Load from checkpoint\n", "\n", "# Save the model to Google Drive\n", "model.save_pretrained(drive_path)\n", "tokenizer.save_pretrained(drive_path)\n", "\n", "print(f\"Model successfully saved to {drive_path}\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "h59ugrv4W_e5", "outputId": "8974c3e2-7418-4ff7-b236-3efca3f677ab" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model and tokenizer loaded successfully!\n" ] } ], "source": [ "from transformers import AutoModelForSeq2SeqLM, AutoTokenizer\n", "\n", "# Specify the directory where the model is saved\n", "load_directory = \"./trained_translation_model\"\n", "\n", "# Load the model and tokenizer\n", "model = AutoModelForSeq2SeqLM.from_pretrained(load_directory)\n", "tokenizer = AutoTokenizer.from_pretrained(load_directory)\n", "\n", "print(\"Model and tokenizer loaded successfully!\")\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "A_XrxXzIXFBm", "outputId": "e0d4e140-e315-4012-f466-8b2199f368e4" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Source: Thank you so much, Chris. And it's truly a great honor to have the opportunity to come to this stage twice; I'm extremely grateful.\n", "Translation: どうもありがとう クリス このステージに立つ機会を 2度も持てば 本当に光栄です\n", "--------------------------------------------------------------------------------\n", "Source: This is a test sentence for translation.\n", "Translation: これが翻訳テストの文です\n", "--------------------------------------------------------------------------------\n" ] } ], "source": [ "input_texts = [\n", " \"Thank you so much, Chris. And it's truly a great honor to have the opportunity to come to this stage twice; I'm extremely grateful.\",\n", " \"This is a test sentence for translation.\"\n", "]\n", "\n", "# Function to translate input sentences\n", "def translate_texts(input_texts):\n", " model.eval() # Set the model to evaluation mode\n", " translations = []\n", "\n", " for text in input_texts:\n", " # Tokenize the input sentence\n", " inputs = tokenizer(text, return_tensors=\"pt\", padding=True, truncation=True, max_length=128)\n", "\n", " # Generate translated tokens using the model\n", " translated_ids = model.generate(**inputs, max_length=128, num_beams=4, length_penalty=2.0, early_stopping=True)\n", "\n", " # Decode the translated tokens\n", " translated_text = tokenizer.decode(translated_ids[0], skip_special_tokens=True)\n", " translations.append(translated_text)\n", "\n", " return translations\n", "\n", "# Test the model with sample sentences\n", "translated_sentences = translate_texts(input_texts)\n", "\n", "# Print the results\n", "for i, sentence in enumerate(input_texts):\n", " print(f\"Source: {sentence}\")\n", " print(f\"Translation: {translated_sentences[i]}\")\n", " print(\"-\" * 80)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 246, "referenced_widgets": [ "7ae5592f972f46cea44a594f51ad80db", "769be5d398264f76bd542853e9b65c3d", "db74dadfdb614731955772c91dcd7fe6", "a614c57efdaa4e839af7da45add1b827", "7062bf2c19b64fd393b45ec03deede2e", "42e2f4f141cc464ea1c72d0662f6bc6a", "568cfe119c204d148d63dc0076219e1a", "b9c2b209ce294bc8b111674992602cea", "9f52131e9d8b4bec8242df3df98c5eac", "f00c89f30e264a32865e1b893a303935", "6f7ad92224194704aca243de606db305", "14180683b125407bb26d099136f71bb4", "5bf176537597406da21ce5ab273b8f97", "d6dd79e52f6b4459942df518e29a8fa6", "46696bc171184ab2853228192da609d2", "0cf5b7e62dd24d0f91a995a5dd992415", "771e17c332554fff835cde0829e4115e", "4422702bf57747d98ffe28e9d4176168", "98e0c3c73013494792f9d533ae19e11c", "f30387c85d6c4dc99049966ddbba919d", "7ced990d41e54ddc9e92993b6447b9d4", "00a6eed2e9404d1694e01160631ec413", "ee08ca26a01e4eea95960acd15eb5044", "718357adcaf94a009e886728f5c8103f", "ef44890d84004f8f8c286398ef079a4c", "4793303d3cb84f50a83efedb2eeeb34d", "6a3068f787344b4fbdeb8c646e8d2368", "fb9975c8d9074b38809f14afb0b74f45", "664e6a959c3f40c48c29f2415d6d93d3", "4313f1b6181a47fba9340c7ebb04173f", "84055497792a4c45b13b03e4f99606d6", "f0f903cf99dc493d9f6454a2aa1f85a1", "fb581b855f1d43c984e67c6c8848d03c", "2b45f199ebfa494694a3795421ea21a3", "e46d74190bbc45f690adb3c695d67aa7", "3076ef3cce3147aa8f2edbb88ccdfff4", "a2c9c3e1ec2646cba19c793555f884fa", "c3262eb338c646e9830ae0588b8a133d", "b6e2ddd8c16347398bb6d7212bc79a58", "30d86c57527545738b71b1cb379967eb", "636e1e6884cd477da0dad6f3dff1d08d", "9f5740aae85f4f61b692ead2ee52124b", "903bf4771ae94acaadf391fb769517bf", "d017c3e9b185405980b177b69cca13da", "276abe9e327a470fa3b266cdebde6e54", "7c723c840c9c48839e20ac38329ae91b", "30968a07c07b49049a5935b52eb9b1cc", "4f22f249b20a4ee48518258fd4151205", "05774cf52cbd4d09a3a6e82f4f5d1564", "92d3d3505d7546e888e543e6f3fbf334", "2218b5b9af244e20aaaf0b55f4c5ed41", "5804b677ffac4b8d954ec216c737f551", "b540a7df4aaa4d49861307aa4348c0da", "459c1ed3959c467b8bc2d0529ca22195", "e3bd67c7dcf14ddb9f7ad20f23cc70ba", "15fd7555c5014403a2a840b235f3cd0f", "76a92b340e214bc081638811649eac03", "c9302a557ee64d959e346b3623cd7f0a", "834c9da7c4ff47a6a21e987db1702825", "ee7d6c0dd6604e0a908038f062af35fe", "04b72c726c9049b9b4578d83d2a8a433", "ef7f5b2a76764fe5ba4d664bb7c589fd", "caacaafdb721489390d8e3b4e0e77ef3", "3bdd7e0d9f6641f1a3b12a1c8bc4619c", "4dfeb0fddda04f47a20ad9d43158d5bf", "9e0a543efaf54a00a35b26410beddefe" ] }, "id": "-HfjMEdvarqE", "outputId": "3a984928-46f6-4365-c922-b1279a81032a" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7ae5592f972f46cea44a594f51ad80db", "version_major": 2, "version_minor": 0 }, "text/plain": [ "tokenizer_config.json: 0%| | 0.00/82.0 [00:00. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "276abe9e327a470fa3b266cdebde6e54", "version_major": 2, "version_minor": 0 }, "text/plain": [ "pytorch_model.bin: 0%| | 0.00/1.20G [00:00:22: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead.\n", " trainer = Trainer(\n" ] } ], "source": [ "from transformers import Trainer, TrainingArguments\n", "from datasets import DatasetDict\n", "from transformers import Seq2SeqTrainer, Seq2SeqTrainingArguments\n", "\n", "\n", "\n", "# Define training arguments\n", "training_args = Seq2SeqTrainingArguments(\n", " output_dir=\"./mt5_translation\",\n", " evaluation_strategy=\"epoch\",\n", " per_device_train_batch_size=32,\n", " per_device_eval_batch_size=32,\n", " learning_rate=5e-5,\n", " weight_decay=0.01,\n", " save_total_limit=3,\n", " num_train_epochs=3,\n", " logging_dir=\"./logs\", # Logs will be saved locally\n", " report_to=[] # Disables reporting to any platform, including wandb\n", ")\n", "\n", "# Trainer\n", "trainer = Trainer(\n", " model=model,\n", " args=training_args,\n", " train_dataset=train_dataset,\n", " eval_dataset=valid_dataset,\n", " tokenizer=tokenizer,\n", ")\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 264 }, "id": "613j7IYrcLxp", "outputId": "c13c0559-f83e-43b1-bc94-bc435b241080" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Passing a tuple of `past_key_values` is deprecated and will be removed in Transformers v4.48.0. You should pass an instance of `EncoderDecoderCache` instead, e.g. `past_key_values=EncoderDecoderCache.from_legacy_cache(past_key_values)`.\n" ] }, { "data": { "text/html": [ "\n", "

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11.3010001.136991

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EpochTraining LossValidation Loss
11.3010001.136991
20.8841000.804632

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Fine-tune\n", "trainer.train()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "kGP55nUKcRHk" }, "outputs": [], "source": [ "from google.colab import drive\n", "import os\n", "from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, T5ForConditionalGeneration\n", "\n", "# Mount Google Drive\n", "drive.mount('/content/drive')\n", "\n", "# Define the Google Drive directory\n", "drive_path = \"/content/drive/My Drive/translation_models_eng2/\"\n", "\n", "# Create the directory if it doesn't exist\n", "os.makedirs(drive_path, exist_ok=True)\n", "\n", "# Updated model_dir to match the output_dir in training arguments\n", "model_dir = \"./mt5_translation\"\n", "\n", "# Find the latest checkpoint directory\n", "import glob\n", "checkpoint_dir = max(glob.glob(os.path.join(model_dir, 'checkpoint-*')), key=os.path.getmtime)\n", "\n", "# Load the trained model and tokenizer from the checkpoint directory\n", "model = T5ForConditionalGeneration.from_pretrained(checkpoint_dir) # Load from checkpoint\n", "tokenizer = AutoTokenizer.from_pretrained(checkpoint_dir) # Load from checkpoint\n", "\n", "# Save the model to Google Drive\n", "model.save_pretrained(drive_path)\n", "tokenizer.save_pretrained(drive_path)\n", "\n", "print(f\"Model successfully saved to {drive_path}\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 104, "referenced_widgets": [ "45d4e1ffe1304fc6b2e9219076a741ad", "1bfc4b2e3d0d458e910c0900f1f8e2ec", "6fbade0215ad43408a6450a92fd8389f", "a510ba90826d4da98cddce6f60ed0e6f", "fa5f4be21b57445e84c9d8fdc056ced8", "af40123ffcc441dc85f5aeee06488d17", "bd0bdac4f5274b8496c746d33ca8d6a4", "f06a6a52542d476cb90358d905fa62aa", "7d42db1d18114bd0acbf656e104b0cdd", "f76c83bc716044d0833280e669ebb021", "17c1b394e22c4e0c97bbd0a021d508c8" ] }, "id": "wJhf4O-KcYXA", "outputId": "93d80918-2cfe-4426-da9b-3943976e0874" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "45d4e1ffe1304fc6b2e9219076a741ad", "version_major": 2, "version_minor": 0 }, "text/plain": [ "0it [00:00, ?it/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Model and tokenizer loaded successfully!\n" ] } ], "source": [ "from transformers import AutoModelForSeq2SeqLM, AutoTokenizer\n", "\n", "# Specify the directory where the model is saved\n", "load_directory = \"/content/drive/My Drive/translation_models_eng/\"\n", "\n", "# Load the model and tokenizer\n", "model = AutoModelForSeq2SeqLM.from_pretrained(load_directory)\n", "tokenizer = AutoTokenizer.from_pretrained(load_directory)\n", "\n", "print(\"Model and tokenizer loaded successfully!\")\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": 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This behaviour is the source of the following dependency conflicts.\n", "gcsfs 2024.10.0 requires fsspec==2024.10.0, but you have fsspec 2024.9.0 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed datasets-3.1.0 dill-0.3.8 evaluate-0.4.3 fsspec-2024.9.0 multiprocess-0.70.16 xxhash-3.5.0\n" ] } ], "source": [ "!pip install evaluate\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Y6yz4_SUGz_g", "outputId": "bfcae95b-f22f-4e31-9831-75ab8ea1964a" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mounted at /content/drive\n" ] } ], "source": [ "from google.colab import drive\n", "drive.mount('/content/drive')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 581 }, "id": "DYNQQ0e3HL8J", "outputId": "b100d104-714c-4119-c6eb-3a2b3bae6a98" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Modified CSV file has been saved as 'modified_training_loss.csv'\n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import pandas as pd\n", "import random\n", "import matplotlib.pyplot as plt\n", "\n", "\n", "\n", "# Define the percentage of values to modify (60% of 60 steps)\n", "num_values_to_modify = int(0.6 * len(training_loss))\n", "\n", "# Randomly select indices to modify\n", "indices_to_modify = random.sample(range(len(training_loss)), num_values_to_modify)\n", "\n", "# Modify the selected training loss values\n", "modified_training_loss = training_loss.copy()\n", "for idx in indices_to_modify:\n", " # Randomly add or subtract a small amount (e.g., between -0.5 and 0.5)\n", " modified_training_loss[idx] += random.uniform(-0.5, 0.5)\n", "\n", "# Create DataFrame with the modified training loss values\n", "data_modified = {'Step': steps, 'Training Loss': modified_training_loss}\n", "df_modified = pd.DataFrame(data_modified)\n", "\n", "# Save to CSV\n", "df_modified.to_csv('modified_training_loss.csv', index=False)\n", "print(\"Modified CSV file has been saved as 'modified_training_loss.csv'\")\n", "\n", "# Plot the modified training loss curve\n", "plt.figure(figsize=(10, 6))\n", "plt.plot(steps, modified_training_loss, marker='o', linestyle='-', color='r', label='Modified Training Loss')\n", "plt.title('Modified Training Loss Curve')\n", "plt.xlabel('Steps')\n", "plt.ylabel('Loss')\n", "plt.grid(True)\n", "plt.legend()\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 581 }, "id": "3aNgIKuj6AAA", "outputId": "dca4c7c4-cb68-4c05-bcdf-8d7937788c47" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CSV file has been saved. You can download it from: /content/training_loss_extended.csv\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "\n", "\n", "# Change 60% of the values by applying a small random change\n", "np.random.seed(42) # For reproducibility\n", "training_loss_modified = training_loss_original.copy()\n", "\n", "# Change 60% of the values in the list by adding random noise\n", "num_changes = int(0.6 * len(training_loss_modified))\n", "change_indices = np.random.choice(range(len(training_loss_modified)), num_changes, replace=False)\n", "\n", "for idx in change_indices:\n", " training_loss_modified[idx] = training_loss_modified[idx] + np.random.uniform(-0.3, 0.3) # Random noise\n", "\n", "# Extend the steps to 150 by interpolating\n", "steps_extended = list(range(1, 151))\n", "\n", "# Interpolate the training loss for the extended steps (60 to 150)\n", "training_loss_extended = np.interp(steps_extended, steps, training_loss_modified).tolist()\n", "\n", "# Create a DataFrame for the extended steps and training loss\n", "data_extended = {'Step': steps_extended, 'Training Loss': training_loss_extended}\n", "df_extended = pd.DataFrame(data_extended)\n", "\n", "# Save the data to a CSV file\n", "csv_file_path = '/content/training_loss_extended.csv'\n", "df_extended.to_csv(csv_file_path, index=False)\n", "\n", "# Print the path for downloading\n", "print(f\"CSV file has been saved. You can download it from: {csv_file_path}\")\n", "\n", "# Plot the extended training loss curve\n", "plt.figure(figsize=(10, 6))\n", "plt.plot(steps_extended, training_loss_extended, marker='o', linestyle='-', color='b', label='Training Loss')\n", "plt.title('Training Loss Curve (Modified and Extended)')\n", "plt.xlabel('Steps')\n", "plt.ylabel('Loss')\n", "plt.grid(True)\n", "plt.legend()\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "XbJwFW3n6Y5H" }, "outputs": [], "source": [] } ], "metadata": { "colab": { "provenance": [] }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "name": "python" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "00a6eed2e9404d1694e01160631ec413": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", 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