diff --git "a/notebook/GPT2_DrugsCom_DepressionReviews_FineTuning.ipynb" "b/notebook/GPT2_DrugsCom_DepressionReviews_FineTuning.ipynb"
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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "source": [
+ "# Fine-Tuning GPT-2 on Drugs.com Reviews for Depression\n",
+ "\n",
+ "**Author**: Zakia Salod\n",
+ "\n",
+ "**Affiliation**: University of KwaZulu-Natal (UKZN), Durban, South Africa\n",
+ "\n",
+ "**Contact**: zakia.salod@gmail.com\n",
+ "\n",
+ "**Machine Used**: Google Colab T4 GPU\n",
+ "\n",
+ "**Last Updated**: 9 December 2023\n",
+ "\n",
+ "**Description**:\n",
+ "This notebook demonstrates the process of fine-tuning the GPT-2 model using the Drugs.com reviews dataset, focusing specifically on reviews related to depression. The notebook covers the steps of loading and preprocessing the dataset, initializing and preparing the GPT-2 model for fine-tuning, and the fine-tuning process itself. Post-training, the notebook illustrates how to save and push the fine-tuned model to the Hugging Face Hub. This exercise aims to enhance GPT-2's ability to generate more relevant and insightful text related to depression drug reviews.\n",
+ "\n",
+ "\n",
+ "**License**:\n",
+ "This work is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0). Free for educational and research use.\n",
+ "\n"
+ ],
+ "metadata": {
+ "id": "SlML_A8WXRKX"
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "kJK4WrJB4JR1"
+ },
+ "source": [
+ "## STEP 1: SETTING UP THE ENVIRONMENT"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "zzrRM4P14M7-"
+ },
+ "source": [
+ "### Load Necessary Libraries"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "zbzxLSs_tKQ4"
+ },
+ "outputs": [],
+ "source": [
+ "# Enable automatic module reloading to reflect changes in external .py files\n",
+ "%load_ext autoreload\n",
+ "# Reload all modules before executing code, keeping modules up-to-date\n",
+ "%autoreload 2"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "### Install Required Packages"
+ ],
+ "metadata": {
+ "id": "fq1xfyKlf_Ea"
+ }
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "Bv85wGPxto3O",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "dab3659e-59ab-41a4-9a70-838773c85c5a"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Collecting git+https://github.com/huggingface/transformers\n",
+ " Cloning https://github.com/huggingface/transformers to /tmp/pip-req-build-44ijr861\n",
+ " Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers /tmp/pip-req-build-44ijr861\n",
+ " Resolved https://github.com/huggingface/transformers to commit df5c5c62ae253055336f5bb0828ca8e3e15ab6bd\n",
+ " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
+ " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
+ " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
+ "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (3.13.1)\n",
+ "Requirement already satisfied: huggingface-hub<1.0,>=0.19.3 in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (0.19.4)\n",
+ "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (1.23.5)\n",
+ "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (23.2)\n",
+ "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (6.0.1)\n",
+ "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (2023.6.3)\n",
+ "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (2.31.0)\n",
+ "Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (0.15.0)\n",
+ "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (0.4.1)\n",
+ "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (4.66.1)\n",
+ "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.19.3->transformers==4.36.0.dev0) (2023.6.0)\n",
+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.19.3->transformers==4.36.0.dev0) (4.5.0)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.36.0.dev0) (3.3.2)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.36.0.dev0) (3.6)\n",
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.36.0.dev0) (2.0.7)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.36.0.dev0) (2023.11.17)\n",
+ "Building wheels for collected packages: transformers\n",
+ " Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
+ " Created wheel for transformers: filename=transformers-4.36.0.dev0-py3-none-any.whl size=8195433 sha256=79b5b0d64790d529619e06ffc24ad2f2a2692b0a7d84d20a1e0c4dae56550d23\n",
+ " Stored in directory: /tmp/pip-ephem-wheel-cache-ogqdggii/wheels/c0/14/d6/6c9a5582d2ac191ec0a483be151a4495fe1eb2a6706ca49f1b\n",
+ "Successfully built transformers\n",
+ "Installing collected packages: transformers\n",
+ " Attempting uninstall: transformers\n",
+ " Found existing installation: transformers 4.35.2\n",
+ " Uninstalling transformers-4.35.2:\n",
+ " Successfully uninstalled transformers-4.35.2\n",
+ "Successfully installed transformers-4.36.0.dev0\n"
+ ]
+ }
+ ],
+ "source": [
+ "!pip install git+https://github.com/huggingface/transformers"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "ZTZrScZY6NB1",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "5342e849-426d-437f-a9c2-b75adfbcb4bf"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Collecting datasets\n",
+ " Downloading datasets-2.15.0-py3-none-any.whl (521 kB)\n",
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+ "Installing collected packages: smmap, setproctitle, sentry-sdk, pyarrow-hotfix, docker-pycreds, dill, responses, multiprocess, gitdb, GitPython, wandb, datasets, evaluate\n",
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+ ]
+ }
+ ],
+ "source": [
+ "!pip install datasets evaluate torch wandb"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "CHbwWz_gH1qc",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "18979ebb-9fce-4d87-dccf-ddae7d9df25c"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
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+ "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.2.1)\n",
+ "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.1.2)\n",
+ "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2023.6.0)\n",
+ "Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2.1.0)\n",
+ "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (2.31.0)\n",
+ "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (4.66.1)\n",
+ "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.10.0->accelerate) (2.1.3)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.3.2)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.6)\n",
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2.0.7)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2023.11.17)\n",
+ "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.10.0->accelerate) (1.3.0)\n",
+ "Installing collected packages: accelerate\n",
+ "Successfully installed accelerate-0.25.0\n"
+ ]
+ }
+ ],
+ "source": [
+ "!pip install accelerate -U"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "8ClR-_ktH6-3",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "1bc58861-c84b-4b0d-bd02-87f8fb39fbf0"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Requirement already satisfied: transformers[torch] in /usr/local/lib/python3.10/dist-packages (4.36.0.dev0)\n",
+ "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (3.13.1)\n",
+ "Requirement already satisfied: huggingface-hub<1.0,>=0.19.3 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (0.19.4)\n",
+ "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (1.23.5)\n",
+ "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (23.2)\n",
+ "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (6.0.1)\n",
+ "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (2023.6.3)\n",
+ "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (2.31.0)\n",
+ "Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (0.15.0)\n",
+ "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (0.4.1)\n",
+ "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (4.66.1)\n",
+ "Requirement already satisfied: torch!=1.12.0,>=1.10 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (2.1.0+cu118)\n",
+ "Requirement already satisfied: accelerate>=0.21.0 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (0.25.0)\n",
+ "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate>=0.21.0->transformers[torch]) (5.9.5)\n",
+ "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.19.3->transformers[torch]) (2023.6.0)\n",
+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.19.3->transformers[torch]) (4.5.0)\n",
+ "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch!=1.12.0,>=1.10->transformers[torch]) (1.12)\n",
+ "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch!=1.12.0,>=1.10->transformers[torch]) (3.2.1)\n",
+ "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch!=1.12.0,>=1.10->transformers[torch]) (3.1.2)\n",
+ "Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch!=1.12.0,>=1.10->transformers[torch]) (2.1.0)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers[torch]) (3.3.2)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers[torch]) (3.6)\n",
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers[torch]) (2.0.7)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers[torch]) (2023.11.17)\n",
+ "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch!=1.12.0,>=1.10->transformers[torch]) (2.1.3)\n",
+ "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch!=1.12.0,>=1.10->transformers[torch]) (1.3.0)\n"
+ ]
+ }
+ ],
+ "source": [
+ "!pip install transformers[torch]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "### Import Necessary Libraries"
+ ],
+ "metadata": {
+ "id": "GXDAGYt9gFFM"
+ }
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "ZPQo3nOFtpX-"
+ },
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "from datasets import load_dataset\n",
+ "from datasets import concatenate_datasets\n",
+ "from transformers import GPT2Tokenizer\n",
+ "from transformers import GPT2LMHeadModel\n",
+ "import html\n",
+ "import re\n",
+ "from collections import Counter\n",
+ "import pandas as pd"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "CAc15TpfT0m6"
+ },
+ "source": [
+ "### Initialize Weights & Biases for Tracking"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "gu1-uIyZT179"
+ },
+ "outputs": [],
+ "source": [
+ "# Import Weights & Biases for experiment tracking\n",
+ "import wandb"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "FAcoX4eniLWc",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 211
+ },
+ "outputId": "5726f50d-2232-44bc-c4fb-a8cd9c8fe69f"
+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ],
+ "application/javascript": [
+ "\n",
+ " window._wandbApiKey = new Promise((resolve, reject) => {\n",
+ " function loadScript(url) {\n",
+ " return new Promise(function(resolve, reject) {\n",
+ " let newScript = document.createElement(\"script\");\n",
+ " newScript.onerror = reject;\n",
+ " newScript.onload = resolve;\n",
+ " document.body.appendChild(newScript);\n",
+ " newScript.src = url;\n",
+ " });\n",
+ " }\n",
+ " loadScript(\"https://cdn.jsdelivr.net/npm/postmate/build/postmate.min.js\").then(() => {\n",
+ " const iframe = document.createElement('iframe')\n",
+ " iframe.style.cssText = \"width:0;height:0;border:none\"\n",
+ " document.body.appendChild(iframe)\n",
+ " const handshake = new Postmate({\n",
+ " container: iframe,\n",
+ " url: 'https://wandb.ai/authorize'\n",
+ " });\n",
+ " const timeout = setTimeout(() => reject(\"Couldn't auto authenticate\"), 5000)\n",
+ " handshake.then(function(child) {\n",
+ " child.on('authorize', data => {\n",
+ " clearTimeout(timeout)\n",
+ " resolve(data)\n",
+ " });\n",
+ " });\n",
+ " })\n",
+ " });\n",
+ " "
+ ]
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "\u001b[34m\u001b[1mwandb\u001b[0m: Logging into wandb.ai. (Learn how to deploy a W&B server locally: https://wandb.me/wandb-server)\n",
+ "\u001b[34m\u001b[1mwandb\u001b[0m: You can find your API key in your browser here: https://wandb.ai/authorize\n",
+ "wandb: Paste an API key from your profile and hit enter, or press ctrl+c to quit:"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " ··········\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "\u001b[34m\u001b[1mwandb\u001b[0m: Appending key for api.wandb.ai to your netrc file: /root/.netrc\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ],
+ "text/html": [
+ "Tracking run with wandb version 0.16.1"
+ ]
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ],
+ "text/html": [
+ "Run data is saved locally in <code>/content/wandb/run-20231209_123209-kfb5cx1j</code>"
+ ]
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ],
+ "text/html": [
+ "Syncing run <strong><a href='https://wandb.ai/team-zakia/gpt2-drugscom_depression_reviews/runs/kfb5cx1j' target=\"_blank\">jumping-energy-8</a></strong> to <a href='https://wandb.ai/team-zakia/gpt2-drugscom_depression_reviews' target=\"_blank\">Weights & Biases</a> (<a href='https://wandb.me/run' target=\"_blank\">docs</a>)<br/>"
+ ]
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ],
+ "text/html": [
+ " View project at <a href='https://wandb.ai/team-zakia/gpt2-drugscom_depression_reviews' target=\"_blank\">https://wandb.ai/team-zakia/gpt2-drugscom_depression_reviews</a>"
+ ]
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ],
+ "text/html": [
+ " View run at <a href='https://wandb.ai/team-zakia/gpt2-drugscom_depression_reviews/runs/kfb5cx1j' target=\"_blank\">https://wandb.ai/team-zakia/gpt2-drugscom_depression_reviews/runs/kfb5cx1j</a>"
+ ]
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/html": [
+ "<button onClick=\"this.nextSibling.style.display='block';this.style.display='none';\">Display W&B run</button><iframe src='https://wandb.ai/team-zakia/gpt2-drugscom_depression_reviews/runs/kfb5cx1j?jupyter=true' style='border:none;width:100%;height:420px;display:none;'></iframe>"
+ ],
+ "text/plain": [
+ "<wandb.sdk.wandb_run.Run at 0x791d9a29f670>"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 8
+ }
+ ],
+ "source": [
+ "# Initialize wandb for tracking and visualizing the training\n",
+ "wandb.init(project=\"gpt2-drugscom_depression_reviews\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "LGYKu-eF4ZvJ"
+ },
+ "source": [
+ "## STEP 2: LOAD AND PRE-PROCESS DRUG REVIEWS DATASET"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "v_FNuZmvtsY1"
+ },
+ "outputs": [],
+ "source": [
+ "dataset_name = \"Zakia/drugscom_reviews\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "DyK71VIut7kf",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
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+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading readme: 0%| | 0.00/6.72k [00:00<?, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
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+ }
+ },
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+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading data files: 0%| | 0/2 [00:00<?, ?it/s]"
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+ "application/vnd.jupyter.widget-view+json": {
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+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading data: 0%| | 0.00/84.3M [00:00<?, ?B/s]"
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+ "application/vnd.jupyter.widget-view+json": {
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+ },
+ {
+ "output_type": "display_data",
+ "data": {
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+ "Downloading data: 0%| | 0.00/28.1M [00:00<?, ?B/s]"
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+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Extracting data files: 0%| | 0/2 [00:00<?, ?it/s]"
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+ "application/vnd.jupyter.widget-view+json": {
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+ "version_minor": 0,
+ "model_id": "a6687ff1f33a42988536dc04ccf824ad"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Generating train split: 0 examples [00:00, ? examples/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "28b5d0115eb44b9483c9f7d345d644e1"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Generating test split: 0 examples [00:00, ? examples/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "36a765c57fc349eab616355610980324"
+ }
+ },
+ "metadata": {}
+ }
+ ],
+ "source": [
+ "ds = load_dataset(dataset_name, split=\"train\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "mIIzKwC3t9k_",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 49,
+ "referenced_widgets": [
+ "35b794e3143a43b9867050806d00d7c2",
+ "c0aabbfff4ca48609969258d77daf36c",
+ "a656a7cec90141f480a2d447e271edd4",
+ "fbd866b694004b478d12d7c8d621c563",
+ "a67a7144c6674c8eb119e5898b2d0490",
+ "4fe2cf6e63824e74b008998b6378bf01",
+ "29c67f208b3f4b90a38bba90aa369dcd",
+ "db9cdd8b18f24795ba9bd91a875ce448",
+ "5abc8caabb924c958c213348fde64848",
+ "afe1ff9c1d014590bba254ee2285c5c4",
+ "0c4015e83ef142bfb41abfde20a3fa05"
+ ]
+ },
+ "outputId": "f3b93127-7a4b-42d9-b62a-3e5be2fafda1"
+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Filter: 0%| | 0/161297 [00:00<?, ? examples/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "35b794e3143a43b9867050806d00d7c2"
+ }
+ },
+ "metadata": {}
+ }
+ ],
+ "source": [
+ "# Filter out rows with missing drugName, condition, or review\n",
+ "ds = ds.filter(lambda x: all([x.get(\"drugName\"), x.get(\"condition\"), x.get(\"review\")]))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "RgLtwYudt_-y",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 49,
+ "referenced_widgets": [
+ "361e2c414ad942f5b8c92a5dcd3b1774",
+ "dd3dbc5532264fb7881f11b0f3554b38",
+ "48f3c24e3f384907a0e359b92e952914",
+ "caeba295e0a84b21b6bece98ab886e1f",
+ "0651146886cc4d969d9f9a2ed6d18c8a",
+ "18453188685544d69ffc475599cb57db",
+ "5cdaa0d7536b42cbaa1025dcdf4c911f",
+ "1193555c580545759bfcbf6a1913a5d5",
+ "77ccf09db8ad4452ac0b307081b68b05",
+ "f859e097073941d5b6baf569a731f396",
+ "cb19c04f36f84e5cb1d96dc520c6566d"
+ ]
+ },
+ "outputId": "ce4512ed-d4db-4579-e166-f5d5921ffd73"
+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Filter: 0%| | 0/160398 [00:00<?, ? examples/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "361e2c414ad942f5b8c92a5dcd3b1774"
+ }
+ },
+ "metadata": {}
+ }
+ ],
+ "source": [
+ "# Filter the dataset for the condition 'Depression'\n",
+ "ds = ds.filter(lambda example: example[\"condition\"] == \"Depression\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Get the number of records\n",
+ "num_records = ds.num_rows\n",
+ "print(f\"Number of records with Depression condition: {num_records}\")"
+ ],
+ "metadata": {
+ "id": "JfVTTUk63kZQ",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "1e1e08dd-b055-44a5-940b-f6dad88f1f1e"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Number of records with Depression condition: 9069\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "2GmihTdSuMPF"
+ },
+ "outputs": [],
+ "source": [
+ "# Function to clean review text\n",
+ "def clean_review(text):\n",
+ " # Check if the text is a string\n",
+ " if not isinstance(text, str):\n",
+ " return \"\" # Return an empty string if the input is not a string\n",
+ " text = html.unescape(text) # Decode HTML entities\n",
+ " text = re.sub(r'\"', '', text) # Remove quotes\n",
+ " text = re.sub(r'<.*?>', '', text) # Remove HTML tags\n",
+ " return text"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "jSEt0xnfuSQu"
+ },
+ "outputs": [],
+ "source": [
+ "# Clean the reviews of the train set\n",
+ "# Apply the clean_review function in a batched manner\n",
+ "def clean_reviews(batch):\n",
+ " # Apply clean_review to each review in the batch and return the modified batch\n",
+ " return {\"review\": [clean_review(review) for review in batch[\"review\"]]}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "llYAOpmpuTad",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 49,
+ "referenced_widgets": [
+ "48f3b3e586f74174a0232079ec543e2c",
+ "57403d31cdb64f11add87566d4f5a325",
+ "f9e6f05aeb904395a5d5a8a3ec3b9756",
+ "5b787cdd23f44cb8805e055ccffdfe40",
+ "e00ea9a3b8cc433a8dffc1cf9d99f609",
+ "c6cae5d28bd9480eb1eb5642132d4dd5",
+ "90e73a35476f4e74aba7c02f329a3536",
+ "dea3da72e6d946029a3760a594356701",
+ "5c7f4c3d4ebc47a6ba27aeed52a89add",
+ "23396629e70847a28c247157d27587e7",
+ "2262d8d8318e453a92e4ae9b37fa484c"
+ ]
+ },
+ "outputId": "3815254b-c672-41ad-8227-5a925d00d4d7"
+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Map: 0%| | 0/9069 [00:00<?, ? examples/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "48f3b3e586f74174a0232079ec543e2c"
+ }
+ },
+ "metadata": {}
+ }
+ ],
+ "source": [
+ "ds = ds.map(clean_reviews, batched=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Get the number of records\n",
+ "num_records = ds.num_rows\n",
+ "print(f\"Number of records with Depression condition: {num_records}\")"
+ ],
+ "metadata": {
+ "id": "manmVhe43meU",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "dbf58348-48dc-4a04-a784-510533f88fe5"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Number of records with Depression condition: 9069\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "QYzV-JbK0hg_"
+ },
+ "source": [
+ "## STEP 3: PREPARE THE GPT-2 MODEL FOR FINE-TUNING"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "tyRs25rj0uZq",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 145,
+ "referenced_widgets": [
+ "97478b946a2243ae8fb5e2dbc939fecd",
+ "b468cc474d964795aa92e609d8f49c14",
+ "c208ce8f7548438a886309c3a1d89a46",
+ "3f11e4cb4ea2467685187f86c6ad1259",
+ "78db2d61bf444938bd55d74ee2962bc7",
+ "1c31184a73fa4ded96c3fc98aa98e4dd",
+ "feb1dec1d9684a8ebc23a97372cd836e",
+ "6a1f524d208041bc9f632658154e9604",
+ "aa0834b1a9774b039c81c30abd225c75",
+ "e6bf66b3ae9246af8dfb901f44114036",
+ "a3606f6637814cadaddeec5b809a2031",
+ "c14073600faa4276baabf68a8463d203",
+ "86eeb0998e1f4d79bfe1d82cb7dec973",
+ "5d65c6687d87417193211910daf341c9",
+ "6cf38e7be70f4297a4a4a76afb00f5eb",
+ "f3530c618bed4888a151573bcec3df84",
+ "d28f426d69a94954923823dbf6bca790",
+ "b4cc09eaece64d81a60cd88a4dfd8327",
+ "1194b9e87bf24c8190a7114527f153cb",
+ "2b42c838b36445c28ad2c1d5802b94a8",
+ "37453894d05741b5b76fbb25e00f3f4f",
+ "4e19eea754254320b0c64b7518494ca8",
+ "f3be5e77bcc14067a0b8333488b6989a",
+ "063a528402a041c58ca72450e8f94a47",
+ "f2b64c328fee41b5b137fd97fca75a63",
+ "fa00fe6d3f074db9965be53e4694a830",
+ "fbe2c79add1e4125b9e8bc1b24e2bc7f",
+ "a6e378877e2146948f3e412bd31252ed",
+ "681923cbf6874204898918586d4d15e5",
+ "5f9839dab22a475f95c0547fc5035a67",
+ "14a56ddc2f654e31b599bfbfc967d879",
+ "7d3128fda8c844b1bc84fadd2997a09a",
+ "da3bc0b8f8644bd2834089beb5aff4d7",
+ "80eba5b6545948269049d0b804fc8f40",
+ "ac32cb2229e541bf8aef1f7dd2ada74b",
+ "a796211c642c4840a2822833d00f3ac0",
+ "cc3831986c9a41099813df38119f8605",
+ "faf882727a9e442ca422ee63d02357c9",
+ "88ecab3b211e4cf69a76bb7b83ae0f7f",
+ "2294c3691218465aba561ce60038a691",
+ "057e01cd640f4b6bb05dbce84b40002d",
+ "0733564e11614f3a9e4480222a58286d",
+ "6f8671899ef74ea48a78df36ace76266",
+ "21f9727629834203afd92e6896f22071"
+ ]
+ },
+ "outputId": "85d022b0-5b1e-45d3-f277-ebfeee182d8b"
+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "97478b946a2243ae8fb5e2dbc939fecd"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "merges.txt: 0%| | 0.00/456k [00:00<?, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "c14073600faa4276baabf68a8463d203"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "tokenizer.json: 0%| | 0.00/1.36M [00:00<?, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "f3be5e77bcc14067a0b8333488b6989a"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "config.json: 0%| | 0.00/665 [00:00<?, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "80eba5b6545948269049d0b804fc8f40"
+ }
+ },
+ "metadata": {}
+ }
+ ],
+ "source": [
+ "# Initialize the tokenizer\n",
+ "tokenizer = GPT2Tokenizer.from_pretrained(\"gpt2\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "9kBUDFIZ8SCZ"
+ },
+ "outputs": [],
+ "source": [
+ "# Make sure the tokenizer recognizes the pad_token\n",
+ "tokenizer.pad_token = tokenizer.eos_token"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "PF-wYY0F03fw"
+ },
+ "outputs": [],
+ "source": [
+ "# Function to encode the texts\n",
+ "def encode(examples):\n",
+ " return tokenizer(examples[\"review\"], truncation=True, padding=\"max_length\", max_length=512)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "18v0sBsc058q",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 49,
+ "referenced_widgets": [
+ "558e52210904446684aa3f3a52d03ada",
+ "9ddcd9da2ef34296829adce85e4f9c97",
+ "ddcf5f257a214b089f84ab0ed1320d53",
+ "22c72cc5f7104b2e82cb0363eed14243",
+ "153c517831cc4a9099bdfc1e3723ae02",
+ "ef41fb1aee914dfe83a10191ff488ac4",
+ "5e8d743b4c054f6b9fff9440522e9635",
+ "8199c19bba6944cd95276a43b7edfa8a",
+ "c46c0c2430ae4ea2a982425921282e13",
+ "537cb348212a4258af62b2cafdae8266",
+ "5e001995d8984ccd87b73d2d8a6c89ef"
+ ]
+ },
+ "outputId": "381fb94a-03ec-459c-d1da-bbc7e6a8fb45"
+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Map: 0%| | 0/9069 [00:00<?, ? examples/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "558e52210904446684aa3f3a52d03ada"
+ }
+ },
+ "metadata": {}
+ }
+ ],
+ "source": [
+ "# Apply the function to the dataset\n",
+ "ds = ds.map(encode, batched=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "C3oh7JQj1Hgq"
+ },
+ "outputs": [],
+ "source": [
+ "# Save the dataset to a file\n",
+ "with open(\"train_dataset.txt\", \"w\", encoding=\"utf-8\") as f:\n",
+ " for example in ds:\n",
+ " f.write(tokenizer.decode(example[\"input_ids\"]) + tokenizer.eos_token + \"\\n\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "GWgq1Sn64wYO"
+ },
+ "source": [
+ "## STEP 4: FINE-TUNING THE MODEL"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "LU84BWI31T_6",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "ffd82918-2314-41cd-c4ca-bb336a99c7d7"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "2023-12-09 12:33:29.982409: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
+ "2023-12-09 12:33:29.982462: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
+ "2023-12-09 12:33:29.982496: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
+ "2023-12-09 12:33:31.101611: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
+ "12/09/2023 12:33:39 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: False, 16-bits training: False\n",
+ "12/09/2023 12:33:39 - INFO - __main__ - Training/evaluation parameters TrainingArguments(\n",
+ "_n_gpu=1,\n",
+ "adafactor=False,\n",
+ "adam_beta1=0.9,\n",
+ "adam_beta2=0.999,\n",
+ "adam_epsilon=1e-08,\n",
+ "auto_find_batch_size=False,\n",
+ "bf16=False,\n",
+ "bf16_full_eval=False,\n",
+ "data_seed=None,\n",
+ "dataloader_drop_last=False,\n",
+ "dataloader_num_workers=0,\n",
+ "dataloader_persistent_workers=False,\n",
+ "dataloader_pin_memory=True,\n",
+ "ddp_backend=None,\n",
+ "ddp_broadcast_buffers=None,\n",
+ "ddp_bucket_cap_mb=None,\n",
+ "ddp_find_unused_parameters=None,\n",
+ "ddp_timeout=1800,\n",
+ "debug=[],\n",
+ "deepspeed=None,\n",
+ "disable_tqdm=False,\n",
+ "dispatch_batches=None,\n",
+ "do_eval=False,\n",
+ "do_predict=False,\n",
+ "do_train=True,\n",
+ "eval_accumulation_steps=None,\n",
+ "eval_delay=0,\n",
+ "eval_steps=None,\n",
+ "evaluation_strategy=no,\n",
+ "fp16=False,\n",
+ "fp16_backend=auto,\n",
+ "fp16_full_eval=False,\n",
+ "fp16_opt_level=O1,\n",
+ "fsdp=[],\n",
+ "fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False},\n",
+ "fsdp_min_num_params=0,\n",
+ "fsdp_transformer_layer_cls_to_wrap=None,\n",
+ "full_determinism=False,\n",
+ "gradient_accumulation_steps=1,\n",
+ "gradient_checkpointing=False,\n",
+ "gradient_checkpointing_kwargs=None,\n",
+ "greater_is_better=None,\n",
+ "group_by_length=False,\n",
+ "half_precision_backend=auto,\n",
+ "hub_always_push=False,\n",
+ "hub_model_id=None,\n",
+ "hub_private_repo=False,\n",
+ "hub_strategy=every_save,\n",
+ "hub_token=<HUB_TOKEN>,\n",
+ "ignore_data_skip=False,\n",
+ "include_inputs_for_metrics=False,\n",
+ "include_num_input_tokens_seen=False,\n",
+ "include_tokens_per_second=False,\n",
+ "jit_mode_eval=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=0,\n",
+ "log_level=passive,\n",
+ "log_level_replica=warning,\n",
+ "log_on_each_node=True,\n",
+ "logging_dir=./gpt2-drugscom_depression_reviews/runs/Dec09_12-33-34_8acb048be5fa,\n",
+ "logging_first_step=False,\n",
+ "logging_nan_inf_filter=True,\n",
+ "logging_steps=500,\n",
+ "logging_strategy=steps,\n",
+ "lr_scheduler_kwargs={},\n",
+ "lr_scheduler_type=linear,\n",
+ "max_grad_norm=1.0,\n",
+ "max_steps=-1,\n",
+ "metric_for_best_model=None,\n",
+ "mp_parameters=,\n",
+ "neftune_noise_alpha=None,\n",
+ "no_cuda=False,\n",
+ "num_train_epochs=5.0,\n",
+ "optim=adamw_torch,\n",
+ "optim_args=None,\n",
+ "output_dir=./gpt2-drugscom_depression_reviews,\n",
+ "overwrite_output_dir=True,\n",
+ "past_index=-1,\n",
+ "per_device_eval_batch_size=8,\n",
+ "per_device_train_batch_size=2,\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=<PUSH_TO_HUB_TOKEN>,\n",
+ "ray_scope=last,\n",
+ "remove_unused_columns=True,\n",
+ "report_to=['wandb'],\n",
+ "resume_from_checkpoint=None,\n",
+ "run_name=./gpt2-drugscom_depression_reviews,\n",
+ "save_on_each_node=False,\n",
+ "save_only_model=False,\n",
+ "save_safetensors=True,\n",
+ "save_steps=500,\n",
+ "save_strategy=steps,\n",
+ "save_total_limit=None,\n",
+ "seed=42,\n",
+ "skip_memory_metrics=True,\n",
+ "split_batches=False,\n",
+ "tf32=None,\n",
+ "torch_compile=False,\n",
+ "torch_compile_backend=None,\n",
+ "torch_compile_mode=None,\n",
+ "torchdynamo=None,\n",
+ "tpu_metrics_debug=False,\n",
+ "tpu_num_cores=None,\n",
+ "use_cpu=False,\n",
+ "use_ipex=False,\n",
+ "use_legacy_prediction_loop=False,\n",
+ "use_mps_device=False,\n",
+ "warmup_ratio=0.0,\n",
+ "warmup_steps=0,\n",
+ "weight_decay=0.0,\n",
+ ")\n",
+ "Using custom data configuration default-99d8365ea3008c01\n",
+ "12/09/2023 12:33:40 - INFO - datasets.builder - Using custom data configuration default-99d8365ea3008c01\n",
+ "Loading Dataset Infos from /usr/local/lib/python3.10/dist-packages/datasets/packaged_modules/text\n",
+ "12/09/2023 12:33:40 - INFO - datasets.info - Loading Dataset Infos from /usr/local/lib/python3.10/dist-packages/datasets/packaged_modules/text\n",
+ "Generating dataset text (/root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34)\n",
+ "12/09/2023 12:33:40 - INFO - datasets.builder - Generating dataset text (/root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34)\n",
+ "Downloading and preparing dataset text/default to /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34...\n",
+ "12/09/2023 12:33:40 - INFO - datasets.builder - Downloading and preparing dataset text/default to /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34...\n",
+ "Downloading data files: 100% 1/1 [00:00<00:00, 7256.58it/s]\n",
+ "Downloading took 0.0 min\n",
+ "12/09/2023 12:33:40 - INFO - datasets.download.download_manager - Downloading took 0.0 min\n",
+ "Checksum Computation took 0.0 min\n",
+ "12/09/2023 12:33:40 - INFO - datasets.download.download_manager - Checksum Computation took 0.0 min\n",
+ "Extracting data files: 100% 1/1 [00:00<00:00, 1198.72it/s]\n",
+ "Generating train split\n",
+ "12/09/2023 12:33:40 - INFO - datasets.builder - Generating train split\n",
+ "Generating train split: 12943 examples [00:00, 19902.65 examples/s]\n",
+ "Unable to verify splits sizes.\n",
+ "12/09/2023 12:33:41 - INFO - datasets.utils.info_utils - Unable to verify splits sizes.\n",
+ "Dataset text downloaded and prepared to /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34. Subsequent calls will reuse this data.\n",
+ "12/09/2023 12:33:41 - INFO - datasets.builder - Dataset text downloaded and prepared to /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34. Subsequent calls will reuse this data.\n",
+ "Using custom data configuration default-99d8365ea3008c01\n",
+ "12/09/2023 12:33:41 - INFO - datasets.builder - Using custom data configuration default-99d8365ea3008c01\n",
+ "Loading Dataset Infos from /usr/local/lib/python3.10/dist-packages/datasets/packaged_modules/text\n",
+ "12/09/2023 12:33:41 - INFO - datasets.info - Loading Dataset Infos from /usr/local/lib/python3.10/dist-packages/datasets/packaged_modules/text\n",
+ "Overwrite dataset info from restored data version if exists.\n",
+ "12/09/2023 12:33:41 - INFO - datasets.builder - Overwrite dataset info from restored data version if exists.\n",
+ "Loading Dataset info from /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34\n",
+ "12/09/2023 12:33:41 - INFO - datasets.info - Loading Dataset info from /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34\n",
+ "Found cached dataset text (/root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34)\n",
+ "12/09/2023 12:33:41 - INFO - datasets.builder - Found cached dataset text (/root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34)\n",
+ "Loading Dataset info from /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34\n",
+ "12/09/2023 12:33:41 - INFO - datasets.info - Loading Dataset info from /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34\n",
+ "Using custom data configuration default-99d8365ea3008c01\n",
+ "12/09/2023 12:33:41 - INFO - datasets.builder - Using custom data configuration default-99d8365ea3008c01\n",
+ "Loading Dataset Infos from /usr/local/lib/python3.10/dist-packages/datasets/packaged_modules/text\n",
+ "12/09/2023 12:33:41 - INFO - datasets.info - Loading Dataset Infos from /usr/local/lib/python3.10/dist-packages/datasets/packaged_modules/text\n",
+ "Overwrite dataset info from restored data version if exists.\n",
+ "12/09/2023 12:33:41 - INFO - datasets.builder - Overwrite dataset info from restored data version if exists.\n",
+ "Loading Dataset info from /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34\n",
+ "12/09/2023 12:33:41 - INFO - datasets.info - Loading Dataset info from /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34\n",
+ "Found cached dataset text (/root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34)\n",
+ "12/09/2023 12:33:41 - INFO - datasets.builder - Found cached dataset text (/root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34)\n",
+ "Loading Dataset info from /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34\n",
+ "12/09/2023 12:33:41 - INFO - datasets.info - Loading Dataset info from /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34\n",
+ "[INFO|configuration_utils.py:739] 2023-12-09 12:33:41,848 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--gpt2/snapshots/11c5a3d5811f50298f278a704980280950aedb10/config.json\n",
+ "[INFO|configuration_utils.py:802] 2023-12-09 12:33:41,850 >> Model config GPT2Config {\n",
+ " \"_name_or_path\": \"gpt2\",\n",
+ " \"activation_function\": \"gelu_new\",\n",
+ " \"architectures\": [\n",
+ " \"GPT2LMHeadModel\"\n",
+ " ],\n",
+ " \"attn_pdrop\": 0.1,\n",
+ " \"bos_token_id\": 50256,\n",
+ " \"embd_pdrop\": 0.1,\n",
+ " \"eos_token_id\": 50256,\n",
+ " \"initializer_range\": 0.02,\n",
+ " \"layer_norm_epsilon\": 1e-05,\n",
+ " \"model_type\": \"gpt2\",\n",
+ " \"n_ctx\": 1024,\n",
+ " \"n_embd\": 768,\n",
+ " \"n_head\": 12,\n",
+ " \"n_inner\": null,\n",
+ " \"n_layer\": 12,\n",
+ " \"n_positions\": 1024,\n",
+ " \"reorder_and_upcast_attn\": false,\n",
+ " \"resid_pdrop\": 0.1,\n",
+ " \"scale_attn_by_inverse_layer_idx\": false,\n",
+ " \"scale_attn_weights\": true,\n",
+ " \"summary_activation\": null,\n",
+ " \"summary_first_dropout\": 0.1,\n",
+ " \"summary_proj_to_labels\": true,\n",
+ " \"summary_type\": \"cls_index\",\n",
+ " \"summary_use_proj\": true,\n",
+ " \"task_specific_params\": {\n",
+ " \"text-generation\": {\n",
+ " \"do_sample\": true,\n",
+ " \"max_length\": 50\n",
+ " }\n",
+ " },\n",
+ " \"transformers_version\": \"4.36.0.dev0\",\n",
+ " \"use_cache\": true,\n",
+ " \"vocab_size\": 50257\n",
+ "}\n",
+ "\n",
+ "[INFO|tokenization_auto.py:578] 2023-12-09 12:33:41,919 >> Could not locate the tokenizer configuration file, will try to use the model config instead.\n",
+ "[INFO|configuration_utils.py:739] 2023-12-09 12:33:41,991 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--gpt2/snapshots/11c5a3d5811f50298f278a704980280950aedb10/config.json\n",
+ "[INFO|configuration_utils.py:802] 2023-12-09 12:33:41,992 >> Model config GPT2Config {\n",
+ " \"_name_or_path\": \"gpt2\",\n",
+ " \"activation_function\": \"gelu_new\",\n",
+ " \"architectures\": [\n",
+ " \"GPT2LMHeadModel\"\n",
+ " ],\n",
+ " \"attn_pdrop\": 0.1,\n",
+ " \"bos_token_id\": 50256,\n",
+ " \"embd_pdrop\": 0.1,\n",
+ " \"eos_token_id\": 50256,\n",
+ " \"initializer_range\": 0.02,\n",
+ " \"layer_norm_epsilon\": 1e-05,\n",
+ " \"model_type\": \"gpt2\",\n",
+ " \"n_ctx\": 1024,\n",
+ " \"n_embd\": 768,\n",
+ " \"n_head\": 12,\n",
+ " \"n_inner\": null,\n",
+ " \"n_layer\": 12,\n",
+ " \"n_positions\": 1024,\n",
+ " \"reorder_and_upcast_attn\": false,\n",
+ " \"resid_pdrop\": 0.1,\n",
+ " \"scale_attn_by_inverse_layer_idx\": false,\n",
+ " \"scale_attn_weights\": true,\n",
+ " \"summary_activation\": null,\n",
+ " \"summary_first_dropout\": 0.1,\n",
+ " \"summary_proj_to_labels\": true,\n",
+ " \"summary_type\": \"cls_index\",\n",
+ " \"summary_use_proj\": true,\n",
+ " \"task_specific_params\": {\n",
+ " \"text-generation\": {\n",
+ " \"do_sample\": true,\n",
+ " \"max_length\": 50\n",
+ " }\n",
+ " },\n",
+ " \"transformers_version\": \"4.36.0.dev0\",\n",
+ " \"use_cache\": true,\n",
+ " \"vocab_size\": 50257\n",
+ "}\n",
+ "\n",
+ "[INFO|tokenization_utils_base.py:2026] 2023-12-09 12:33:42,155 >> loading file vocab.json from cache at /root/.cache/huggingface/hub/models--gpt2/snapshots/11c5a3d5811f50298f278a704980280950aedb10/vocab.json\n",
+ "[INFO|tokenization_utils_base.py:2026] 2023-12-09 12:33:42,155 >> loading file merges.txt from cache at /root/.cache/huggingface/hub/models--gpt2/snapshots/11c5a3d5811f50298f278a704980280950aedb10/merges.txt\n",
+ "[INFO|tokenization_utils_base.py:2026] 2023-12-09 12:33:42,155 >> loading file tokenizer.json from cache at /root/.cache/huggingface/hub/models--gpt2/snapshots/11c5a3d5811f50298f278a704980280950aedb10/tokenizer.json\n",
+ "[INFO|tokenization_utils_base.py:2026] 2023-12-09 12:33:42,155 >> loading file added_tokens.json from cache at None\n",
+ "[INFO|tokenization_utils_base.py:2026] 2023-12-09 12:33:42,155 >> loading file special_tokens_map.json from cache at None\n",
+ "[INFO|tokenization_utils_base.py:2026] 2023-12-09 12:33:42,155 >> loading file tokenizer_config.json from cache at None\n",
+ "[INFO|configuration_utils.py:739] 2023-12-09 12:33:42,156 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--gpt2/snapshots/11c5a3d5811f50298f278a704980280950aedb10/config.json\n",
+ "[INFO|configuration_utils.py:802] 2023-12-09 12:33:42,157 >> Model config GPT2Config {\n",
+ " \"_name_or_path\": \"gpt2\",\n",
+ " \"activation_function\": \"gelu_new\",\n",
+ " \"architectures\": [\n",
+ " \"GPT2LMHeadModel\"\n",
+ " ],\n",
+ " \"attn_pdrop\": 0.1,\n",
+ " \"bos_token_id\": 50256,\n",
+ " \"embd_pdrop\": 0.1,\n",
+ " \"eos_token_id\": 50256,\n",
+ " \"initializer_range\": 0.02,\n",
+ " \"layer_norm_epsilon\": 1e-05,\n",
+ " \"model_type\": \"gpt2\",\n",
+ " \"n_ctx\": 1024,\n",
+ " \"n_embd\": 768,\n",
+ " \"n_head\": 12,\n",
+ " \"n_inner\": null,\n",
+ " \"n_layer\": 12,\n",
+ " \"n_positions\": 1024,\n",
+ " \"reorder_and_upcast_attn\": false,\n",
+ " \"resid_pdrop\": 0.1,\n",
+ " \"scale_attn_by_inverse_layer_idx\": false,\n",
+ " \"scale_attn_weights\": true,\n",
+ " \"summary_activation\": null,\n",
+ " \"summary_first_dropout\": 0.1,\n",
+ " \"summary_proj_to_labels\": true,\n",
+ " \"summary_type\": \"cls_index\",\n",
+ " \"summary_use_proj\": true,\n",
+ " \"task_specific_params\": {\n",
+ " \"text-generation\": {\n",
+ " \"do_sample\": true,\n",
+ " \"max_length\": 50\n",
+ " }\n",
+ " },\n",
+ " \"transformers_version\": \"4.36.0.dev0\",\n",
+ " \"use_cache\": true,\n",
+ " \"vocab_size\": 50257\n",
+ "}\n",
+ "\n",
+ "model.safetensors: 100% 548M/548M [00:06<00:00, 78.6MB/s]\n",
+ "[INFO|modeling_utils.py:3299] 2023-12-09 12:33:49,589 >> loading weights file model.safetensors from cache at /root/.cache/huggingface/hub/models--gpt2/snapshots/11c5a3d5811f50298f278a704980280950aedb10/model.safetensors\n",
+ "[INFO|configuration_utils.py:826] 2023-12-09 12:33:49,639 >> Generate config GenerationConfig {\n",
+ " \"bos_token_id\": 50256,\n",
+ " \"eos_token_id\": 50256\n",
+ "}\n",
+ "\n",
+ "[INFO|modeling_utils.py:4139] 2023-12-09 12:33:51,494 >> All model checkpoint weights were used when initializing GPT2LMHeadModel.\n",
+ "\n",
+ "[INFO|modeling_utils.py:4147] 2023-12-09 12:33:51,494 >> All the weights of GPT2LMHeadModel were initialized from the model checkpoint at gpt2.\n",
+ "If your task is similar to the task the model of the checkpoint was trained on, you can already use GPT2LMHeadModel for predictions without further training.\n",
+ "generation_config.json: 100% 124/124 [00:00<00:00, 629kB/s]\n",
+ "[INFO|configuration_utils.py:781] 2023-12-09 12:33:51,630 >> loading configuration file generation_config.json from cache at /root/.cache/huggingface/hub/models--gpt2/snapshots/11c5a3d5811f50298f278a704980280950aedb10/generation_config.json\n",
+ "[INFO|configuration_utils.py:826] 2023-12-09 12:33:51,630 >> Generate config GenerationConfig {\n",
+ " \"bos_token_id\": 50256,\n",
+ " \"eos_token_id\": 50256\n",
+ "}\n",
+ "\n",
+ "Running tokenizer on dataset: 0% 0/12296 [00:00<?, ? examples/s]Caching processed dataset at /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34/cache-75bdeafd5e91ab76.arrow\n",
+ "12/09/2023 12:33:52 - INFO - datasets.arrow_dataset - Caching processed dataset at /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34/cache-75bdeafd5e91ab76.arrow\n",
+ "Running tokenizer on dataset: 100% 12296/12296 [00:10<00:00, 1160.82 examples/s]\n",
+ "Running tokenizer on dataset: 0% 0/647 [00:00<?, ? examples/s]Caching processed dataset at /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34/cache-4b9b05e8867d8937.arrow\n",
+ "12/09/2023 12:34:02 - INFO - datasets.arrow_dataset - Caching processed dataset at /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34/cache-4b9b05e8867d8937.arrow\n",
+ "Running tokenizer on dataset: 100% 647/647 [00:00<00:00, 1483.74 examples/s]\n",
+ "Grouping texts in chunks of 1024: 0% 0/12296 [00:00<?, ? examples/s]Caching processed dataset at /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34/cache-7968eaff495c5a36.arrow\n",
+ "12/09/2023 12:34:03 - INFO - datasets.arrow_dataset - Caching processed dataset at /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34/cache-7968eaff495c5a36.arrow\n",
+ "Grouping texts in chunks of 1024: 100% 12296/12296 [00:05<00:00, 2431.06 examples/s]\n",
+ "Grouping texts in chunks of 1024: 0% 0/647 [00:00<?, ? examples/s]Caching processed dataset at /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34/cache-949bae4093020651.arrow\n",
+ "12/09/2023 12:34:08 - INFO - datasets.arrow_dataset - Caching processed dataset at /root/.cache/huggingface/datasets/text/default-99d8365ea3008c01/0.0.0/c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34/cache-949bae4093020651.arrow\n",
+ "Grouping texts in chunks of 1024: 100% 647/647 [00:00<00:00, 1340.88 examples/s]\n",
+ "[INFO|trainer.py:1706] 2023-12-09 12:34:09,306 >> ***** Running training *****\n",
+ "[INFO|trainer.py:1707] 2023-12-09 12:34:09,306 >> Num examples = 4,308\n",
+ "[INFO|trainer.py:1708] 2023-12-09 12:34:09,306 >> Num Epochs = 5\n",
+ "[INFO|trainer.py:1709] 2023-12-09 12:34:09,306 >> Instantaneous batch size per device = 2\n",
+ "[INFO|trainer.py:1712] 2023-12-09 12:34:09,307 >> Total train batch size (w. parallel, distributed & accumulation) = 2\n",
+ "[INFO|trainer.py:1713] 2023-12-09 12:34:09,307 >> Gradient Accumulation steps = 1\n",
+ "[INFO|trainer.py:1714] 2023-12-09 12:34:09,307 >> Total optimization steps = 10,770\n",
+ "[INFO|trainer.py:1715] 2023-12-09 12:34:09,307 >> Number of trainable parameters = 124,439,808\n",
+ "[INFO|integration_utils.py:722] 2023-12-09 12:34:09,308 >> Automatic Weights & Biases logging enabled, to disable set os.environ[\"WANDB_DISABLED\"] = \"true\"\n",
+ "\u001b[34m\u001b[1mwandb\u001b[0m: Currently logged in as: \u001b[33mzakia-salod\u001b[0m (\u001b[33mteam-zakia\u001b[0m). Use \u001b[1m`wandb login --relogin`\u001b[0m to force relogin\n",
+ "\u001b[34m\u001b[1mwandb\u001b[0m: Tracking run with wandb version 0.16.1\n",
+ "\u001b[34m\u001b[1mwandb\u001b[0m: Run data is saved locally in \u001b[35m\u001b[1m/content/wandb/run-20231209_123409-bsxtbazc\u001b[0m\n",
+ "\u001b[34m\u001b[1mwandb\u001b[0m: Run \u001b[1m`wandb offline`\u001b[0m to turn off syncing.\n",
+ "\u001b[34m\u001b[1mwandb\u001b[0m: Syncing run \u001b[33mradiant-firebrand-8\u001b[0m\n",
+ "\u001b[34m\u001b[1mwandb\u001b[0m: ⭐️ View project at \u001b[34m\u001b[4mhttps://wandb.ai/team-zakia/huggingface\u001b[0m\n",
+ "\u001b[34m\u001b[1mwandb\u001b[0m: 🚀 View run at \u001b[34m\u001b[4mhttps://wandb.ai/team-zakia/huggingface/runs/bsxtbazc\u001b[0m\n",
+ "{'loss': 0.7369, 'learning_rate': 4.767873723305478e-05, 'epoch': 0.23}\n",
+ " 5% 500/10770 [06:09<2:07:10, 1.35it/s][INFO|trainer.py:2877] 2023-12-09 12:40:20,104 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-500\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 12:40:20,106 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-500/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 12:40:20,107 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-500/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 12:40:22,146 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-500/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 12:40:22,148 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-500/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 12:40:22,148 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-500/special_tokens_map.json\n",
+ "{'loss': 0.6937, 'learning_rate': 4.535747446610957e-05, 'epoch': 0.46}\n",
+ " 9% 1000/10770 [12:29<2:00:13, 1.35it/s][INFO|trainer.py:2877] 2023-12-09 12:46:40,220 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-1000\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 12:46:40,221 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-1000/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 12:46:40,222 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-1000/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 12:46:44,783 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-1000/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 12:46:44,785 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-1000/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 12:46:44,788 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-1000/special_tokens_map.json\n",
+ "{'loss': 0.6743, 'learning_rate': 4.303621169916435e-05, 'epoch': 0.7}\n",
+ " 14% 1500/10770 [18:49<1:54:18, 1.35it/s][INFO|trainer.py:2877] 2023-12-09 12:52:59,800 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-1500\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 12:52:59,801 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-1500/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 12:52:59,802 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-1500/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 12:53:01,644 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-1500/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 12:53:01,645 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-1500/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 12:53:01,646 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-1500/special_tokens_map.json\n",
+ "{'loss': 0.6565, 'learning_rate': 4.071494893221913e-05, 'epoch': 0.93}\n",
+ " 19% 2000/10770 [25:05<1:48:39, 1.35it/s][INFO|trainer.py:2877] 2023-12-09 12:59:15,817 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-2000\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 12:59:15,818 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-2000/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 12:59:15,819 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-2000/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 12:59:17,871 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-2000/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 12:59:17,872 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-2000/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 12:59:17,873 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-2000/special_tokens_map.json\n",
+ "{'loss': 0.6237, 'learning_rate': 3.8393686165273915e-05, 'epoch': 1.16}\n",
+ " 23% 2500/10770 [31:29<1:41:45, 1.35it/s][INFO|trainer.py:2877] 2023-12-09 13:05:39,969 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-2500\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 13:05:39,971 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-2500/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 13:05:39,971 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-2500/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 13:05:43,191 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-2500/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 13:05:43,192 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-2500/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 13:05:43,192 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-2500/special_tokens_map.json\n",
+ "{'loss': 0.6237, 'learning_rate': 3.607242339832869e-05, 'epoch': 1.39}\n",
+ " 28% 3000/10770 [37:48<1:35:53, 1.35it/s][INFO|trainer.py:2877] 2023-12-09 13:11:58,874 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-3000\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 13:11:58,876 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-3000/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 13:11:58,877 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-3000/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 13:12:00,785 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-3000/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 13:12:00,787 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-3000/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 13:12:00,788 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-3000/special_tokens_map.json\n",
+ "{'loss': 0.6167, 'learning_rate': 3.375116063138347e-05, 'epoch': 1.62}\n",
+ " 32% 3500/10770 [44:04<1:29:41, 1.35it/s][INFO|trainer.py:2877] 2023-12-09 13:18:15,187 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-3500\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 13:18:15,188 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-3500/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 13:18:15,189 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-3500/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 13:18:19,719 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-3500/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 13:18:19,720 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-3500/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 13:18:19,721 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-3500/special_tokens_map.json\n",
+ "{'loss': 0.6143, 'learning_rate': 3.1429897864438255e-05, 'epoch': 1.86}\n",
+ " 37% 4000/10770 [50:25<1:23:55, 1.34it/s][INFO|trainer.py:2877] 2023-12-09 13:24:35,665 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-4000\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 13:24:35,667 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-4000/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 13:24:35,668 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-4000/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 13:24:37,671 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-4000/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 13:24:37,672 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-4000/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 13:24:37,673 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-4000/special_tokens_map.json\n",
+ "{'loss': 0.6003, 'learning_rate': 2.9108635097493035e-05, 'epoch': 2.09}\n",
+ " 42% 4500/10770 [56:41<1:17:15, 1.35it/s][INFO|trainer.py:2877] 2023-12-09 13:30:52,074 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-4500\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 13:30:52,076 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-4500/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 13:30:52,079 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-4500/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 13:30:54,225 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-4500/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 13:30:54,227 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-4500/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 13:30:54,228 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-4500/special_tokens_map.json\n",
+ "{'loss': 0.5719, 'learning_rate': 2.678737233054782e-05, 'epoch': 2.32}\n",
+ " 46% 5000/10770 [1:02:58<1:11:11, 1.35it/s][INFO|trainer.py:2877] 2023-12-09 13:37:08,692 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-5000\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 13:37:08,693 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-5000/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 13:37:08,694 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-5000/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 13:37:10,841 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-5000/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 13:37:10,843 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-5000/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 13:37:10,846 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-5000/special_tokens_map.json\n",
+ "{'loss': 0.5824, 'learning_rate': 2.44661095636026e-05, 'epoch': 2.55}\n",
+ " 51% 5500/10770 [1:09:14<1:04:55, 1.35it/s][INFO|trainer.py:2877] 2023-12-09 13:43:25,363 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-5500\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 13:43:25,364 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-5500/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 13:43:25,365 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-5500/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 13:43:27,212 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-5500/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 13:43:27,214 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-5500/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 13:43:27,214 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-5500/special_tokens_map.json\n",
+ "{'loss': 0.5766, 'learning_rate': 2.214484679665738e-05, 'epoch': 2.79}\n",
+ " 56% 6000/10770 [1:15:31<58:47, 1.35it/s][INFO|trainer.py:2877] 2023-12-09 13:49:41,984 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-6000\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 13:49:41,986 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-6000/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 13:49:41,987 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-6000/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 13:49:43,886 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-6000/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 13:49:43,887 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-6000/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 13:49:43,888 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-6000/special_tokens_map.json\n",
+ "{'loss': 0.5798, 'learning_rate': 1.9823584029712165e-05, 'epoch': 3.02}\n",
+ " 60% 6500/10770 [1:21:47<52:35, 1.35it/s][INFO|trainer.py:2877] 2023-12-09 13:55:58,283 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-6500\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 13:55:58,284 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-6500/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 13:55:58,286 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-6500/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 13:56:00,185 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-6500/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 13:56:00,187 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-6500/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 13:56:00,187 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-6500/special_tokens_map.json\n",
+ "{'loss': 0.5537, 'learning_rate': 1.7502321262766948e-05, 'epoch': 3.25}\n",
+ " 65% 7000/10770 [1:28:03<46:29, 1.35it/s][INFO|trainer.py:2877] 2023-12-09 14:02:14,355 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-7000\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 14:02:14,357 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-7000/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 14:02:14,358 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-7000/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 14:02:17,406 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-7000/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 14:02:17,407 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-7000/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 14:02:17,408 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-7000/special_tokens_map.json\n",
+ "{'loss': 0.5553, 'learning_rate': 1.518105849582173e-05, 'epoch': 3.48}\n",
+ " 70% 7500/10770 [1:34:22<40:34, 1.34it/s][INFO|trainer.py:2877] 2023-12-09 14:08:33,229 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-7500\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 14:08:33,231 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-7500/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 14:08:33,232 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-7500/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 14:08:35,154 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-7500/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 14:08:35,155 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-7500/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 14:08:35,155 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-7500/special_tokens_map.json\n",
+ "{'loss': 0.5479, 'learning_rate': 1.2859795728876508e-05, 'epoch': 3.71}\n",
+ " 74% 8000/10770 [1:40:38<34:27, 1.34it/s][INFO|trainer.py:2877] 2023-12-09 14:14:49,206 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-8000\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 14:14:49,209 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-8000/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 14:14:49,210 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-8000/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 14:14:51,216 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-8000/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 14:14:51,218 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-8000/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 14:14:51,219 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-8000/special_tokens_map.json\n",
+ "{'loss': 0.5538, 'learning_rate': 1.0538532961931291e-05, 'epoch': 3.95}\n",
+ " 79% 8500/10770 [1:46:55<27:57, 1.35it/s][INFO|trainer.py:2877] 2023-12-09 14:21:06,112 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-8500\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 14:21:06,114 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-8500/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 14:21:06,115 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-8500/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 14:21:08,009 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-8500/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 14:21:08,011 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-8500/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 14:21:08,012 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-8500/special_tokens_map.json\n",
+ "{'loss': 0.5429, 'learning_rate': 8.217270194986073e-06, 'epoch': 4.18}\n",
+ " 84% 9000/10770 [1:53:11<21:43, 1.36it/s][INFO|trainer.py:2877] 2023-12-09 14:27:22,134 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-9000\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 14:27:22,135 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-9000/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 14:27:22,136 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-9000/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 14:27:24,023 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-9000/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 14:27:24,024 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-9000/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 14:27:24,025 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-9000/special_tokens_map.json\n",
+ "{'loss': 0.5361, 'learning_rate': 5.896007428040855e-06, 'epoch': 4.41}\n",
+ " 88% 9500/10770 [1:59:27<15:39, 1.35it/s][INFO|trainer.py:2877] 2023-12-09 14:33:38,093 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-9500\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 14:33:38,095 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-9500/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 14:33:38,096 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-9500/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 14:33:39,987 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-9500/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 14:33:39,988 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-9500/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 14:33:39,988 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-9500/special_tokens_map.json\n",
+ "{'loss': 0.5425, 'learning_rate': 3.574744661095636e-06, 'epoch': 4.64}\n",
+ " 93% 10000/10770 [2:05:51<09:27, 1.36it/s][INFO|trainer.py:2877] 2023-12-09 14:40:02,357 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-10000\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 14:40:02,358 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-10000/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 14:40:02,359 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-10000/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 14:40:08,494 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-10000/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 14:40:08,501 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-10000/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 14:40:08,502 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-10000/special_tokens_map.json\n",
+ "{'loss': 0.5388, 'learning_rate': 1.253481894150418e-06, 'epoch': 4.87}\n",
+ " 97% 10500/10770 [2:12:12<03:20, 1.35it/s][INFO|trainer.py:2877] 2023-12-09 14:46:23,328 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews/tmp-checkpoint-10500\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 14:46:23,330 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-10500/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 14:46:23,331 >> Configuration saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-10500/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 14:46:25,338 >> Model weights saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-10500/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 14:46:25,339 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-10500/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 14:46:25,339 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/tmp-checkpoint-10500/special_tokens_map.json\n",
+ "100% 10770/10770 [2:15:39<00:00, 1.36it/s][INFO|trainer.py:1947] 2023-12-09 14:49:49,384 >> \n",
+ "\n",
+ "Training completed. Do not forget to share your model on huggingface.co/models =)\n",
+ "\n",
+ "\n",
+ "{'train_runtime': 8140.1135, 'train_samples_per_second': 2.646, 'train_steps_per_second': 1.323, 'train_loss': 0.5943892072502285, 'epoch': 5.0}\n",
+ "100% 10770/10770 [2:15:39<00:00, 1.32it/s]\n",
+ "[INFO|trainer.py:2877] 2023-12-09 14:49:49,424 >> Saving model checkpoint to ./gpt2-drugscom_depression_reviews\n",
+ "[INFO|configuration_utils.py:483] 2023-12-09 14:49:49,429 >> Configuration saved in ./gpt2-drugscom_depression_reviews/config.json\n",
+ "[INFO|configuration_utils.py:594] 2023-12-09 14:49:49,430 >> Configuration saved in ./gpt2-drugscom_depression_reviews/generation_config.json\n",
+ "[INFO|modeling_utils.py:2349] 2023-12-09 14:49:51,305 >> Model weights saved in ./gpt2-drugscom_depression_reviews/pytorch_model.bin\n",
+ "[INFO|tokenization_utils_base.py:2432] 2023-12-09 14:49:51,306 >> tokenizer config file saved in ./gpt2-drugscom_depression_reviews/tokenizer_config.json\n",
+ "[INFO|tokenization_utils_base.py:2441] 2023-12-09 14:49:51,307 >> Special tokens file saved in ./gpt2-drugscom_depression_reviews/special_tokens_map.json\n",
+ "***** train metrics *****\n",
+ " epoch = 5.0\n",
+ " train_loss = 0.5944\n",
+ " train_runtime = 2:15:40.11\n",
+ " train_samples = 4308\n",
+ " train_samples_per_second = 2.646\n",
+ " train_steps_per_second = 1.323\n",
+ "[INFO|modelcard.py:452] 2023-12-09 14:49:51,959 >> Dropping the following result as it does not have all the necessary fields:\n",
+ "{'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}}\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Fine-tuning command for Google Colab\n",
+ "# Note: run_clm.py should be present in the working directory\n",
+ "!python run_clm.py \\\n",
+ " --train_file train_dataset.txt \\\n",
+ " --model_name_or_path gpt2 \\\n",
+ " --output_dir ./gpt2-drugscom_depression_reviews \\\n",
+ " --do_train \\\n",
+ " --per_device_train_batch_size 2 \\\n",
+ " --num_train_epochs 5 \\\n",
+ " --overwrite_output_dir \\\n",
+ " --use_fast_tokenizer True \\\n",
+ " --report_to \"wandb\""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "EFH89vCQ0pMf"
+ },
+ "source": [
+ "## STEP 5: SAVE THE FINE-TUNED GPT-2 MODEL: gpt2-drugscom_depression_reviews"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "LthX-XqW5Agq"
+ },
+ "outputs": [],
+ "source": [
+ "from huggingface_hub import notebook_login # To log to our Hugging Face account to be able to upload models to the Hub."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "X_g76SB35CDE",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 145,
+ "referenced_widgets": [
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+ "231839169648413991d11e48bb43a7a7",
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+ "44aa945dc5e743b8a6aa3f3078caac77",
+ "fa8d2f6085ab4a31b61270aa6a1ea4c5",
+ "7f3d379eb619439c98379c9b4f0795ec",
+ "6b048e6506aa454b9c5858828fbcd40c",
+ "4690ab39fdb348359cb42526a3ebeb86",
+ "0c3bc5d3a65d4a8980e321caf5a5d4f6",
+ "b5ea618a490448b4aa95637a03f9adb0",
+ "379537673a7b46a8bdcdbfdf346be8dd",
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+ "7728b2f00d96487a9397a55c3cd336ce",
+ "77dfd24b45f24da09dfe0c426d741aa7",
+ "c5313e81a1784396afd3cdc03f0920ea",
+ "65e11d956f2b4f59a9ccc26176cd4a58",
+ "452967ad3cd94a21bcde37e3ea2784eb",
+ "9fbe272599ed450e840a918a8b6a1fbc",
+ "d3c9c4c34afd4ebfb8b911c2aac756b5",
+ "1852d779e7c8448d87ce381d4348868d",
+ "6a2cbfb5e7b64c8cac850d0b05ce8f47"
+ ]
+ },
+ "outputId": "52df4679-af8f-4961-b006-6d11ee1ec163"
+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "9290ccab8e20428a8c6a61e2ce67e0c7"
+ }
+ },
+ "metadata": {}
+ }
+ ],
+ "source": [
+ "# Login to Hugging Face within the notebook\n",
+ "notebook_login()\n",
+ "!git config --global credential.helper store"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "G1T1zFHM5F8m"
+ },
+ "outputs": [],
+ "source": [
+ "model_directory = \"./gpt2-drugscom_depression_reviews\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "NOV3BMvr5HLO"
+ },
+ "outputs": [],
+ "source": [
+ "# Load the fine-tuned model\n",
+ "model = GPT2LMHeadModel.from_pretrained(model_directory)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "qKa1fcoF3dc8",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
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+ ]
+ },
+ "outputId": "c4c5da4a-cd4f-4824-fedc-02471783f268"
+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "model.safetensors: 0%| | 0.00/498M [00:00<?, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "d2ce25900eae4b41b8107401f174b78d"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "CommitInfo(commit_url='https://huggingface.co/Zakia/gpt2-drugscom_depression_reviews/commit/1b4ea22d5bb925164a9a006031dd603f292807a0', commit_message='Upload tokenizer', commit_description='', oid='1b4ea22d5bb925164a9a006031dd603f292807a0', pr_url=None, pr_revision=None, pr_num=None)"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 33
+ }
+ ],
+ "source": [
+ "# Save and push the model to the hub\n",
+ "model.push_to_hub(\"gpt2-drugscom_depression_reviews\")\n",
+ "tokenizer.push_to_hub(\"gpt2-drugscom_depression_reviews\")"
+ ]
+ }
+ ],
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