{ "cells": [ { "cell_type": "markdown", "id": "f0eba489", "metadata": { "papermill": { "duration": 0.006601, "end_time": "2023-11-05T14:36:13.276878", "exception": false, "start_time": "2023-11-05T14:36:13.270277", "status": "completed" }, "tags": [] }, "source": [ "# Entrainement inspiré par mosaicml/mpt-7b-instruct" ] }, { "cell_type": "markdown", "id": "db789528", "metadata": { "papermill": { "duration": 0.005729, "end_time": "2023-11-05T14:36:13.288764", "exception": false, "start_time": "2023-11-05T14:36:13.283035", "status": "completed" }, "tags": [] }, "source": [ "## Installation des librairies manquantes" ] }, { "cell_type": "code", "execution_count": 1, "id": "84f6191b", "metadata": { "execution": { "iopub.execute_input": "2023-11-05T14:36:13.302534Z", "iopub.status.busy": "2023-11-05T14:36:13.302000Z", "iopub.status.idle": "2023-11-05T14:36:13.307788Z", "shell.execute_reply": "2023-11-05T14:36:13.306836Z" }, "papermill": { "duration": 0.015307, "end_time": "2023-11-05T14:36:13.310035", "exception": false, "start_time": "2023-11-05T14:36:13.294728", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "#! pip install --upgrade git+https://github.com/huggingface/transformers" ] }, { "cell_type": "code", "execution_count": 2, "id": "fc66184e", "metadata": { "execution": { "iopub.execute_input": "2023-11-05T14:36:13.323905Z", "iopub.status.busy": "2023-11-05T14:36:13.323187Z", "iopub.status.idle": "2023-11-05T14:36:37.870611Z", "shell.execute_reply": "2023-11-05T14:36:37.869380Z" }, "papermill": { "duration": 24.557026, "end_time": "2023-11-05T14:36:37.873205", "exception": false, "start_time": "2023-11-05T14:36:13.316179", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Found existing installation: transformers 4.33.0\r\n", "Uninstalling transformers-4.33.0:\r\n", " Successfully uninstalled transformers-4.33.0\r\n", "Collecting transformers\r\n", " Downloading transformers-4.35.0-py3-none-any.whl (7.9 MB)\r\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.9/7.9 MB\u001b[0m \u001b[31m53.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n", "\u001b[?25hRequirement already satisfied: filelock in /opt/conda/lib/python3.10/site-packages (from transformers) (3.12.2)\r\n", "Requirement already satisfied: huggingface-hub<1.0,>=0.16.4 in /opt/conda/lib/python3.10/site-packages (from transformers) (0.16.4)\r\n", "Requirement already satisfied: numpy>=1.17 in /opt/conda/lib/python3.10/site-packages (from transformers) (1.23.5)\r\n", "Requirement already satisfied: packaging>=20.0 in /opt/conda/lib/python3.10/site-packages (from transformers) (21.3)\r\n", "Requirement already satisfied: pyyaml>=5.1 in /opt/conda/lib/python3.10/site-packages (from transformers) (6.0)\r\n", "Requirement already satisfied: regex!=2019.12.17 in /opt/conda/lib/python3.10/site-packages (from transformers) (2023.6.3)\r\n", "Requirement 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(4.6.3)\r\n", "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /opt/conda/lib/python3.10/site-packages (from packaging>=20.0->transformers) (3.0.9)\r\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/lib/python3.10/site-packages (from requests->transformers) (3.1.0)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.10/site-packages (from requests->transformers) (3.4)\r\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/lib/python3.10/site-packages (from requests->transformers) (1.26.15)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.10/site-packages (from requests->transformers) (2023.7.22)\r\n", "Installing collected packages: tokenizers, transformers\r\n", " Attempting uninstall: tokenizers\r\n", " Found existing installation: tokenizers 0.13.3\r\n", " Uninstalling tokenizers-0.13.3:\r\n", " Successfully uninstalled tokenizers-0.13.3\r\n", "Successfully installed tokenizers-0.14.1 transformers-4.35.0\r\n" ] } ], "source": [ "! pip uninstall transformers -y\n", "! pip install transformers" ] }, { "cell_type": "code", "execution_count": 3, "id": "7c0806c6", "metadata": { "execution": { "iopub.execute_input": "2023-11-05T14:36:37.890240Z", "iopub.status.busy": "2023-11-05T14:36:37.889545Z", "iopub.status.idle": "2023-11-05T14:36:42.780381Z", "shell.execute_reply": "2023-11-05T14:36:42.779237Z" }, "papermill": { "duration": 4.901823, "end_time": "2023-11-05T14:36:42.782503", "exception": false, "start_time": "2023-11-05T14:36:37.880680", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "4.35.0\n" ] } ], "source": [ "import transformers\n", "print(transformers.__version__)" ] }, { "cell_type": "code", "execution_count": 4, "id": "62564dae", "metadata": { "execution": { "iopub.execute_input": "2023-11-05T14:36:42.798744Z", "iopub.status.busy": "2023-11-05T14:36:42.798132Z", "iopub.status.idle": "2023-11-05T14:37:50.726556Z", "shell.execute_reply": "2023-11-05T14:37:50.725590Z" }, "papermill": { "duration": 67.939168, "end_time": "2023-11-05T14:37:50.728935", "exception": false, "start_time": "2023-11-05T14:36:42.789767", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Collecting bitsandbytes\r\n", " Downloading bitsandbytes-0.41.1-py3-none-any.whl (92.6 MB)\r\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.6/92.6 MB\u001b[0m \u001b[31m14.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n", "\u001b[?25hInstalling collected packages: bitsandbytes\r\n", "Successfully installed bitsandbytes-0.41.1\r\n", "Collecting einops\r\n", " Downloading einops-0.7.0-py3-none-any.whl (44 kB)\r\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m44.6/44.6 kB\u001b[0m \u001b[31m2.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n", 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satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.10/site-packages (from requests>=2.19.0->datasets==2.13.1) (3.4)\r\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/lib/python3.10/site-packages (from requests>=2.19.0->datasets==2.13.1) (1.26.15)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.10/site-packages (from requests>=2.19.0->datasets==2.13.1) (2023.7.22)\r\n", "INFO: pip is looking at multiple versions of multiprocess to determine which version is compatible with other requirements. This could take a while.\r\n", "Collecting multiprocess (from datasets==2.13.1)\r\n", " Downloading multiprocess-0.70.14-py310-none-any.whl (134 kB)\r\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.3/134.3 kB\u001b[0m \u001b[31m14.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n", "\u001b[?25hRequirement already satisfied: python-dateutil>=2.8.2 in /opt/conda/lib/python3.10/site-packages (from pandas->datasets==2.13.1) (2.8.2)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.10/site-packages (from pandas->datasets==2.13.1) (2023.3)\r\n", "Requirement already satisfied: tzdata>=2022.1 in /opt/conda/lib/python3.10/site-packages (from pandas->datasets==2.13.1) (2023.3)\r\n", "Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.10/site-packages (from python-dateutil>=2.8.2->pandas->datasets==2.13.1) (1.16.0)\r\n", "Installing collected packages: dill, multiprocess, datasets\r\n", " Attempting uninstall: dill\r\n", " Found existing installation: dill 0.3.7\r\n", " Uninstalling dill-0.3.7:\r\n", " Successfully uninstalled dill-0.3.7\r\n", " Attempting uninstall: multiprocess\r\n", " Found existing installation: multiprocess 0.70.15\r\n", " Uninstalling multiprocess-0.70.15:\r\n", " Successfully uninstalled multiprocess-0.70.15\r\n", "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\r\n", "apache-beam 2.46.0 requires dill<0.3.2,>=0.3.1.1, but you have dill 0.3.6 which is incompatible.\r\n", "apache-beam 2.46.0 requires pyarrow<10.0.0,>=3.0.0, but you have pyarrow 11.0.0 which is incompatible.\r\n", "pathos 0.3.1 requires dill>=0.3.7, but you have dill 0.3.6 which is incompatible.\r\n", "pathos 0.3.1 requires multiprocess>=0.70.15, but you have multiprocess 0.70.14 which is incompatible.\r\n", "pymc3 3.11.5 requires numpy<1.22.2,>=1.15.0, but you have numpy 1.23.5 which is incompatible.\r\n", "pymc3 3.11.5 requires scipy<1.8.0,>=1.7.3, but you have scipy 1.11.2 which is incompatible.\u001b[0m\u001b[31m\r\n", "\u001b[0mSuccessfully installed datasets-2.13.1 dill-0.3.6 multiprocess-0.70.14\r\n" ] }, { "data": { "text/plain": [ "'2.13.1'" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "! pip install bitsandbytes\n", "! pip install einops\n", "! pip install peft\n", "! pip install trl\n", "\n", "# Bug selon la version de datasets, besoin d'installer une version plus récente que celle de l'environnement pré-installé :\n", "! pip uninstall datasets -y\n", "! pip install datasets==2.13.1\n", "\n", "import datasets\n", "datasets.__version__" ] }, { "cell_type": "markdown", "id": "2940cba6", "metadata": { "papermill": { "duration": 0.015349, "end_time": "2023-11-05T14:37:50.760273", "exception": false, "start_time": "2023-11-05T14:37:50.744924", "status": "completed" }, "tags": [] }, "source": [ "## Import des librairies" ] }, { "cell_type": "code", "execution_count": 5, "id": "545be344", "metadata": { "execution": { "iopub.execute_input": "2023-11-05T14:37:50.792822Z", "iopub.status.busy": "2023-11-05T14:37:50.792325Z", "iopub.status.idle": "2023-11-05T14:38:00.834522Z", "shell.execute_reply": "2023-11-05T14:38:00.833660Z" }, "papermill": { "duration": 10.060969, "end_time": "2023-11-05T14:38:00.836968", "exception": false, "start_time": "2023-11-05T14:37:50.775999", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.5\n", " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n" ] } ], "source": [ "import einops\n", "import torch\n", "from datasets import load_dataset\n", "from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig, TrainingArguments\n", "from peft import LoraConfig\n", "from trl import SFTTrainer" ] }, { "cell_type": "markdown", "id": "9a558c2c", "metadata": { "papermill": { "duration": 0.014581, "end_time": "2023-11-05T14:38:00.866800", "exception": false, "start_time": "2023-11-05T14:38:00.852219", "status": "completed" }, "tags": [] }, "source": [ "## Téléchargement du dataset pour le fine tuning" ] }, { "cell_type": "code", "execution_count": 6, "id": "1257408b", "metadata": { "execution": { "iopub.execute_input": "2023-11-05T14:38:00.897674Z", "iopub.status.busy": "2023-11-05T14:38:00.897347Z", "iopub.status.idle": "2023-11-05T14:38:02.495699Z", "shell.execute_reply": "2023-11-05T14:38:02.494614Z" }, "id": "0X3kHnskSWU4", "outputId": "1c116f6e-546a-4f75-bc6f-2eec2a505858", "papermill": { "duration": 1.616143, "end_time": "2023-11-05T14:38:02.497747", "exception": false, "start_time": "2023-11-05T14:38:00.881604", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "77c2ae5677444324b6cc4f93316a9392", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Downloading readme: 0%| | 0.00/1.03k [00:00\n", " \n", " \n", " [1600/1600 1:51:05, Epoch 5/5]\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
StepTraining Loss
641.548300
1280.926900
1920.878700
2560.872800
3200.824000
3840.729100
4480.719300
5120.686900
5760.708900
6400.691500
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7680.546300
8320.530700
8960.544600
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10240.430000
10880.406100
11520.414800
12160.427100
12800.405000
13440.329300
14080.321700
14720.321200
15360.325500
16000.314200

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "TrainOutput(global_step=1600, training_loss=0.6009962081909179, metrics={'train_runtime': 6674.4421, 'train_samples_per_second': 3.836, 'train_steps_per_second': 0.24, 'total_flos': 1.2489013664022528e+17, 'train_loss': 0.6009962081909179, 'epoch': 5.0})" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "trainer.train()" ] }, { "cell_type": "code", "execution_count": 13, "id": "848ca198", "metadata": { "execution": { "iopub.execute_input": "2023-11-05T16:31:38.570911Z", "iopub.status.busy": "2023-11-05T16:31:38.570599Z", "iopub.status.idle": "2023-11-05T16:32:49.254967Z", "shell.execute_reply": "2023-11-05T16:32:49.254122Z" }, "papermill": { "duration": 70.704921, "end_time": "2023-11-05T16:32:49.257350", "exception": false, "start_time": "2023-11-05T16:31:38.552429", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ 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