{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "collapsed": true, "id": "CBGPJVOsqc3L", "outputId": "6c2a8836-4e4f-48af-f32d-c521571e0f6c" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Repository: 'deb https://ppa.launchpadcontent.net/jonathonf/ffmpeg-4/ubuntu/ jammy main'\n", "Description:\n", "Backport of FFmpeg 4 and associated libraries. Now includes AOM/AV1 support!\n", "\n", "FDK AAC is not compatible with GPL and FFmpeg can't be redistributed with it included. Please don't ask for it to be added to this public PPA.\n", "\n", "---\n", "\n", "PPA supporters:\n", "\n", "BigBlueButton (https://bigbluebutton.org)\n", "\n", "---\n", "\n", "Donate to FFMPEG: https://ffmpeg.org/donations.html\n", "Donate to Debian: https://www.debian.org/donations\n", "Donate to this PPA: https://ko-fi.com/jonathonf\n", "More info: https://launchpad.net/~jonathonf/+archive/ubuntu/ffmpeg-4\n", "Adding repository.\n", "Adding deb entry to /etc/apt/sources.list.d/jonathonf-ubuntu-ffmpeg-4-jammy.list\n", "Adding disabled deb-src entry to /etc/apt/sources.list.d/jonathonf-ubuntu-ffmpeg-4-jammy.list\n", "Adding key to /etc/apt/trusted.gpg.d/jonathonf-ubuntu-ffmpeg-4.gpg with fingerprint 4AB0F789CBA31744CC7DA76A8CF63AD3F06FC659\n", "Get:1 http://security.ubuntu.com/ubuntu jammy-security InRelease [129 kB]\n", "Get:2 https://cloud.r-project.org/bin/linux/ubuntu jammy-cran40/ InRelease [3,626 B]\n", "Hit:3 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64 InRelease\n", "Hit:4 http://archive.ubuntu.com/ubuntu jammy InRelease\n", "Get:5 http://archive.ubuntu.com/ubuntu jammy-updates InRelease [128 kB]\n", "Hit:6 https://ppa.launchpadcontent.net/c2d4u.team/c2d4u4.0+/ubuntu jammy InRelease\n", "Hit:7 http://archive.ubuntu.com/ubuntu jammy-backports InRelease\n", "Get:8 https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu jammy InRelease [18.1 kB]\n", "Get:9 https://ppa.launchpadcontent.net/graphics-drivers/ppa/ubuntu jammy InRelease [24.3 kB]\n", "Get:10 http://security.ubuntu.com/ubuntu jammy-security/universe amd64 Packages [1,089 kB]\n", "Ign:11 https://ppa.launchpadcontent.net/jonathonf/ffmpeg-4/ubuntu jammy InRelease\n", "Get:12 http://security.ubuntu.com/ubuntu jammy-security/main amd64 Packages [1,889 kB]\n", "Hit:13 https://ppa.launchpadcontent.net/ubuntugis/ppa/ubuntu jammy InRelease\n", "Err:14 https://ppa.launchpadcontent.net/jonathonf/ffmpeg-4/ubuntu jammy Release\n", " 404 Not Found [IP: 185.125.190.80 443]\n", "Get:15 https://cloud.r-project.org/bin/linux/ubuntu jammy-cran40/ Packages [53.5 kB]\n", "Get:16 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 Packages [2,167 kB]\n", "Get:17 http://archive.ubuntu.com/ubuntu jammy-updates/multiverse amd64 Packages [51.5 kB]\n", "Get:18 http://archive.ubuntu.com/ubuntu jammy-updates/restricted amd64 Packages [2,523 kB]\n", "Get:19 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 Packages [1,389 kB]\n", "Get:20 https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu jammy/main amd64 Packages [27.8 kB]\n", "Get:21 https://ppa.launchpadcontent.net/graphics-drivers/ppa/ubuntu jammy/main amd64 Packages [47.9 kB]\n", "Reading package lists... Done\n", "E: The repository 'https://ppa.launchpadcontent.net/jonathonf/ffmpeg-4/ubuntu jammy Release' does not have a Release file.\n", "N: Updating from such a repository can't be done securely, and is therefore disabled by default.\n", "N: See apt-secure(8) manpage for repository creation and user configuration details.\n", "Hit:1 http://security.ubuntu.com/ubuntu jammy-security InRelease\n", "Hit:2 https://cloud.r-project.org/bin/linux/ubuntu jammy-cran40/ InRelease\n", "Hit:3 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64 InRelease\n", "Hit:4 http://archive.ubuntu.com/ubuntu jammy InRelease\n", "Hit:5 http://archive.ubuntu.com/ubuntu jammy-updates InRelease\n", "Hit:6 http://archive.ubuntu.com/ubuntu jammy-backports InRelease\n", "Hit:7 https://ppa.launchpadcontent.net/c2d4u.team/c2d4u4.0+/ubuntu jammy InRelease\n", "Hit:8 https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu jammy InRelease\n", "Hit:9 https://ppa.launchpadcontent.net/graphics-drivers/ppa/ubuntu jammy InRelease\n", "Ign:10 https://ppa.launchpadcontent.net/jonathonf/ffmpeg-4/ubuntu jammy InRelease\n", "Hit:11 https://ppa.launchpadcontent.net/ubuntugis/ppa/ubuntu jammy InRelease\n", "Err:12 https://ppa.launchpadcontent.net/jonathonf/ffmpeg-4/ubuntu jammy Release\n", " 404 Not Found [IP: 185.125.190.80 443]\n", "Reading package lists... Done\n", "\u001b[1;31mE: \u001b[0mThe repository 'https://ppa.launchpadcontent.net/jonathonf/ffmpeg-4/ubuntu jammy Release' does not have a Release file.\u001b[0m\n", "\u001b[33mN: \u001b[0mUpdating from such a repository can't be done securely, and is therefore disabled by default.\u001b[0m\n", "\u001b[33mN: \u001b[0mSee apt-secure(8) manpage for repository creation and user configuration details.\u001b[0m\n", "Reading package lists... Done\n", "Building dependency tree... Done\n", "Reading state information... Done\n", "ffmpeg is already the newest version (7:4.4.2-0ubuntu0.22.04.1).\n", "0 upgraded, 0 newly installed, 0 to remove and 50 not upgraded.\n" ] } ], "source": [ "!add-apt-repository -y ppa:jonathonf/ffmpeg-4\n", "!apt update\n", "!apt install -y ffmpeg" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "21t5yRBuqj8r", "outputId": "0da26678-51e6-4df1-f6eb-345f57d45f0e" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "google-colab 1.0.0 requires requests==2.31.0, but you have requests 2.32.3 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mCollecting git+https://github.com/huggingface/transformers\n", " Cloning https://github.com/huggingface/transformers to /tmp/pip-req-build-csn3jikd\n", " Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers /tmp/pip-req-build-csn3jikd\n", " Resolved https://github.com/huggingface/transformers to commit dcdda5324bcc7a750b5e40e11dd795442204ff27\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==4.42.0.dev0) (3.14.0)\n", "Requirement already satisfied: huggingface-hub<1.0,>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (0.23.2)\n", "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (1.25.2)\n", "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (24.0)\n", "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (6.0.1)\n", "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (2024.5.15)\n", "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (2.32.3)\n", "Requirement already satisfied: tokenizers<0.20,>=0.19 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (0.19.1)\n", "Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (0.4.3)\n", "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (4.66.4)\n", "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.23.0->transformers==4.42.0.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,>=0.23.0->transformers==4.42.0.dev0) (4.12.1)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.42.0.dev0) (3.3.2)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.42.0.dev0) (3.7)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.42.0.dev0) (2.0.7)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.42.0.dev0) (2024.6.2)\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-4.42.0.dev0-py3-none-any.whl size=9143153 sha256=dfdd571b87c269b4861b39a1cb4393a61273b9a17bec5c0a801d895d97ccf65a\n", " Stored in directory: /tmp/pip-ephem-wheel-cache-4wl11iy1/wheels/c0/14/d6/6c9a5582d2ac191ec0a483be151a4495fe1eb2a6706ca49f1b\n", "Successfully built transformers\n", "Installing collected packages: transformers\n", " Attempting uninstall: transformers\n", " Found existing installation: transformers 4.41.2\n", " Uninstalling transformers-4.41.2:\n", " Successfully uninstalled transformers-4.41.2\n", "Successfully installed transformers-4.42.0.dev0\n", "Requirement already satisfied: librosa in /usr/local/lib/python3.10/dist-packages 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This behaviour is the source of the following dependency conflicts.\n", "spacy 3.7.4 requires typer<0.10.0,>=0.3.0, but you have typer 0.12.3 which is incompatible.\n", "weasel 0.3.4 requires typer<0.10.0,>=0.3.0, but you have typer 0.12.3 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed aiofiles-23.2.1 dnspython-2.6.1 email_validator-2.1.1 fastapi-0.111.0 fastapi-cli-0.0.4 ffmpy-0.3.2 gradio-4.36.1 gradio-client-1.0.1 h11-0.14.0 httpcore-1.0.5 httptools-0.6.1 httpx-0.27.0 orjson-3.10.4 pydub-0.25.1 python-dotenv-1.0.1 python-multipart-0.0.9 ruff-0.4.8 semantic-version-2.10.0 shellingham-1.5.4 starlette-0.37.2 tomlkit-0.12.0 typer-0.12.3 ujson-5.10.0 uvicorn-0.30.1 uvloop-0.19.0 watchfiles-0.22.0 websockets-11.0.3\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m119.8/119.8 MB\u001b[0m \u001b[31m6.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m309.4/309.4 kB\u001b[0m \u001b[31m31.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.3/21.3 MB\u001b[0m \u001b[31m60.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h 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", " 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", " Building wheel for peft (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n" ] } ], "source": [ "!pip install datasets>=2.6.1\n", "!pip install git+https://github.com/huggingface/transformers\n", "!pip install librosa\n", "!pip install evaluate>=0.30\n", "!pip install jiwer\n", "!pip install gradio\n", "!pip install -q bitsandbytes datasets accelerate\n", "!pip install -q git+https://github.com/huggingface/transformers.git@main git+https://github.com/huggingface/peft.git@main" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 145, "referenced_widgets": [ "1b3dc2163cb24baca5daa8314ed8b5f3", "9de0f18dd7ad47c5a52e4e6158813570", "2747c48f1362476e9578757c3751109e", "cd9feaa18af542f0a15f20b4691efeda", "226cc031938246a2ba5981253ecf7511", "5d5842d7648247eeaed08b188f222651", "abfe0c1a219947e5bfad86aa19e57510", "464e4f4402bf4912a5830b6b4352b0ef", "ae02581a828843d887b0023c5c308a2f", "ad80a3eb09344687b662c329ad35fca8", "7273d69dcd0d4884b31aa27ade7b1426", "bbd23b46a1454fed8d0ab31a195d566d", "0b0233ee1b944bf0a26046296a2de8bd", "6d49316a1b5f4022af14a3382da15025", "92d74c1e9c454cb2b863e4eb1abd787d", "30eef3846bb748b09c14290a7dbc7ff4", "ae29f581247942749d7a567cfa86409b", "d0ccbea7d1f741609e3472ce59fc5be7", "b2b409c322a54e698745e56dc06ec6e0", "bda176f958e84efda3fd79f5f1c5e39c", "3050341dc1844a30bc1bd047b9b7a174", "cae011a0b6224c28a031b08ea4f2e902", "5659cf0984e5434eb548b7b76bcfa9a8", "19a4de3324d14a13b4b5cc403ef37708", "f8bcd7e36a534c93a23db0afcd2053dd", "5eb6d2472a034a9fa06448611d59a4e9", "c7783576988f4d55adf3192ae1909d38", "ddc4b8d2ec1349ccb30aac32d4d99f22", "61b49e9c4f6b4e7ea2694a17bbde6c2f", "9d2d0de343e946fbb4d89ade1ff4c88d", "390ecec71733479abc97a312b0fc1795", "bc8185b903a34bcfb655c0299e2a2266" ] }, "id": "aid7PM1FsZVA", "outputId": "0a994058-4bb4-4471-a508-739b913d121d" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "VBox(children=(HTML(value='
' instead.\n", " warnings.warn(\n", "/usr/local/lib/python3.10/dist-packages/datasets/load.py:1491: FutureWarning: The repository for mozilla-foundation/common_voice_16_1 contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/mozilla-foundation/common_voice_16_1\n", "You can avoid this message in future by passing the argument `trust_remote_code=True`.\n", "Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.\n", " warnings.warn(\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "Downloading data: 0%| | 0.00/7.01M [00:00 Dict[str, torch.Tensor]:\n", " # split inputs and labels since they have to be of different lengths and need different padding methods\n", " # first treat the audio inputs by simply returning torch tensors\n", " input_features = [{\"input_features\": feature[\"input_features\"]} for feature in features]\n", " batch = self.processor.feature_extractor.pad(input_features, return_tensors=\"pt\")\n", "\n", " # get the tokenized label sequences\n", " label_features = [{\"input_ids\": feature[\"labels\"]} for feature in features]\n", " # pad the labels to max length\n", " labels_batch = self.processor.tokenizer.pad(label_features, return_tensors=\"pt\")\n", "\n", " # replace padding with -100 to ignore loss correctly\n", " labels = labels_batch[\"input_ids\"].masked_fill(labels_batch.attention_mask.ne(1), -100)\n", "\n", " # if bos token is appended in previous tokenization step,\n", " # cut bos token here as it's append later anyways\n", " if (labels[:, 0] == self.processor.tokenizer.bos_token_id).all().cpu().item():\n", " labels = labels[:, 1:]\n", "\n", " batch[\"labels\"] = labels\n", "\n", " return batch" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "id": "YLwnJPI8yylk", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "2bded992-4dd0-48bd-c396-1bc565e8f4ad" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "Dataset({\n", " features: ['input_features', 'labels'],\n", " num_rows: 50\n", "})" ] }, "metadata": {}, "execution_count": 15 } ], "source": [ "common_voice['train']" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "id": "doRfWYrEy2WX" }, "outputs": [], "source": [ "data_collator = DataCollatorSpeechSeq2SeqWithPadding(processor=processor)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 49, "referenced_widgets": [ "27ae9eac0664488589b3df74313f0c86", "f6b7dfcf95f54624b7f6c38f56a5c8c7", "977ee24470dc43a0abd6a24523bf1d40", "e05c08c8561c4c979df83fa74a8e8ca1", "c1a1eb2327ac4c62b87dfdb821d815d7", "08377c772d8d4581973deec236e0bcef", "e10d7ebc078140f690195772c14667f9", "b9b78f02d0d842488da482de27435638", "e1bbddb674ac4d8b92736b604b9609e0", "844104bb969546b7a738d564fb84b7b5", "7cd44b444cb645729dfc9f83cdab0f82" ] }, "id": "KEiBuVluy4xR", "outputId": "bad26a5b-d7d4-4d50-9505-1af8f55a937e" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "Downloading builder script: 0%| | 0.00/4.49k [00:00 0\n", " ]\n", " label_str_norm = [\n", " label_str_norm[i]\n", " for i in range(len(label_str_norm))\n", " if len(label_str_norm[i]) > 0\n", " ]\n", "\n", " wer = 100 * metric.compute(predictions=pred_str_norm, references=label_str_norm)\n", "\n", " return {\"wer_ortho\": wer_ortho, \"wer\": wer}" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "id": "PklXV_Pp1IWl" }, "outputs": [], "source": [ "\n", "import torch\n", "\n" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "id": "uG59uUdCYGHg", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "3fcd5d27-51bc-4d9b-c6e2-717160ec5046" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Name: bitsandbytes\n", "Version: 0.43.1\n", "Summary: k-bit optimizers and matrix multiplication routines.\n", "Home-page: https://github.com/TimDettmers/bitsandbytes\n", "Author: Tim Dettmers\n", "Author-email: dettmers@cs.washington.edu\n", "License: MIT\n", "Location: /usr/local/lib/python3.10/dist-packages\n", "Requires: numpy, torch\n", "Required-by: \n" ] } ], "source": [ "!pip show bitsandbytes" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "id": "Nkjvxm0ZYPa8", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "e9b30322-d0de-4a7d-c467-fadc724263ed" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Requirement already satisfied: bitsandbytes in /usr/local/lib/python3.10/dist-packages (0.43.1)\n", "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from bitsandbytes) (2.3.0+cu121)\n", "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from bitsandbytes) (1.25.2)\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (3.14.0)\n", "Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (4.12.1)\n", "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (1.12.1)\n", "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (3.3)\n", "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (3.1.4)\n", "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (2023.6.0)\n", "Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (12.1.105)\n", "Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (12.1.105)\n", "Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (12.1.105)\n", "Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (8.9.2.26)\n", "Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (12.1.3.1)\n", "Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (11.0.2.54)\n", "Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (10.3.2.106)\n", "Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (11.4.5.107)\n", "Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (12.1.0.106)\n", "Requirement already satisfied: nvidia-nccl-cu12==2.20.5 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (2.20.5)\n", "Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (12.1.105)\n", "Requirement already satisfied: triton==2.3.0 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (2.3.0)\n", "Requirement already satisfied: nvidia-nvjitlink-cu12 in /usr/local/lib/python3.10/dist-packages (from nvidia-cusolver-cu12==11.4.5.107->torch->bitsandbytes) (12.5.40)\n", "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch->bitsandbytes) (2.1.5)\n", "Requirement already satisfied: mpmath<1.4.0,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch->bitsandbytes) (1.3.0)\n" ] } ], "source": [ "!pip install --upgrade bitsandbytes" ] }, { "cell_type": "markdown", "source": [], "metadata": { "id": "4Bhh9ShUdgkH" } }, { "cell_type": "code", "execution_count": 22, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 131, "referenced_widgets": [ "e129699c13c64c49809ca56fffcf016c", "da03a5293e514ea3b1a2312838075a9c", "6a0b9ef39d574c62b9fde58cc7c12e4a", "41f88cdb42c3465abeb52d545e6416bf", "57e27c72dda245bab2a709626405110f", "218d12772d234c7880e1e4bf2ef68cf2", "3994fe6cf5f5498b9872d18b5b6c7385", "47e7480a7f994cdcbc927943794a0323", "869bed7a3a4b413395755ac74ddaee8b", "4cfb1fae4a004b9188cc6a926b751760", "9cf9d77d3e644060ba3304c36c797903", "52fb796cb3514739a86d18b3904f6663", "7e65029204e94eee8ba377738142ab53", "a2275e760ea04d218d83a66f4b2e58a7", "7fec9a71407640b88eba4bc386121287", "87ae10e6a19b4321aa25da756c787b6f", "a346ec3d026e45a888bc1a13011bfe0c", "47ca3020d5ce49c082b09a23587497e9", "3d3334837f594138b101cf49b115c1a8", "278cd43dd6f6426bb2b7bf065a6cbfa2", "5bd3d80b1f9c4cd6b936e9123905bfeb", "2ff80c24a69f4fdabb284838adb0e859", "8bae12c8a857489bab41ccaefc7066d9", "c5133eeb4232442db9d5966fb98b519e", "cc1844d0f5cb4e0f91fcbf24e53bc067", "172bbee53c2b4ce5b74870c933d3c893", "add7f64ad8344b09ac9c6f276ff36a95", "8ba0007e44044db59757dcb070013b28", "018faebd89a94db9956dd49ccea48850", "2e645a9c667e477c94a8fa647517ccf3", "29dc57c6626c482eb71141dd7802c467", "5bdd25f6b4bf4523933a6864d1b81b66", "dce3f39dd30a470b93bbdeaa3546a0f9" ] }, "id": "8WTG5sGGzHz1", "outputId": "d154936f-df34-4ab5-8e8d-f1000b96f4bd" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "config.json: 0%| | 0.00/1.99k [00:00" ] }, "metadata": {}, "execution_count": 24 } ] }, { "cell_type": "code", "source": [ "from peft import LoraConfig, PeftModel, LoraModel, LoraConfig, get_peft_model\n", "\n", "config = LoraConfig(r=32, lora_alpha=64, target_modules=[\"q_proj\", \"v_proj\"], lora_dropout=0.05, bias=\"none\")\n", "\n", "model = get_peft_model(model, config)\n", "model.print_trainable_parameters()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "nAYdvIODeLms", "outputId": "34686ba4-ba13-46f6-d462-aea8f2fab629" }, "execution_count": 25, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "trainable params: 15,728,640 || all params: 1,559,033,600 || trainable%: 1.0089\n" ] } ] }, { "cell_type": "code", "source": [ "from functools import partial\n", "\n", "# désactiver le cache pendant l'entraînement car il est incompatible avec le checkpointing du gradient\n", "model.config.use_cache = False\n", "\n", "# définir la langue et la tâche pour la génération et réactiver le cache\n", "model.generate = partial(\n", " model.generate, language=\"arabic\", task=task, use_cache=True\n", ")" ], "metadata": { "id": "2eXgmHmlmasA" }, "execution_count": 26, "outputs": [] }, { "cell_type": "code", "source": [ "from transformers import Seq2SeqTrainingArguments" ], "metadata": { "id": "UibBWxPCgRiE" }, "execution_count": 27, "outputs": [] }, { "cell_type": "code", "source": [ "from transformers import Seq2SeqTrainingArguments\n", "\n", "training_args = Seq2SeqTrainingArguments(\n", " output_dir=\"./whisper-LARGE-AR\", # nom sur le Hub\n", " per_device_train_batch_size=16,\n", " gradient_accumulation_steps=1, # à x2 pour chaque diminution de 2x de la taille du batch\n", " learning_rate=5e-6,\n", " lr_scheduler_type=\"constant_with_warmup\",\n", " fp16=True,\n", " warmup_steps=10,\n", " max_steps=50, # augmenter jusqu'à 4000 si vous disposez de votre propre GPU ou d'un plan Colab payant\n", " gradient_checkpointing=True,\n", " evaluation_strategy=\"steps\",\n", " per_device_eval_batch_size=16,\n", " predict_with_generate=True,\n", " generation_max_length=128,\n", " save_steps=50,\n", " eval_steps=50,\n", " logging_steps=50,\n", " report_to=[\"tensorboard\"],\n", " load_best_model_at_end=True,\n", " metric_for_best_model=\"wer\",\n", " greater_is_better=False,\n", " push_to_hub=True,\n", ")\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "09ORmHRJgE8s", "outputId": "8575c0c0-dc07-41cc-bacc-94d2f5a4ceba" }, "execution_count": 32, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.10/dist-packages/transformers/training_args.py:1493: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead\n", " warnings.warn(\n" ] } ] }, { "cell_type": "code", "source": [ "from transformers import Seq2SeqTrainer\n", "\n", "trainer = Seq2SeqTrainer(\n", " args=training_args,\n", " model=model,\n", " train_dataset=common_voice[\"train\"],\n", " eval_dataset=common_voice[\"test\"],\n", " data_collator=data_collator,\n", " compute_metrics=compute_metrics,\n", " tokenizer=processor.feature_extractor,\n", ")\n" ], "metadata": { "id": "jus8xWr4gcwx", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "94834f7e-e58e-4533-b276-8a20df2d03d8" }, "execution_count": 35, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "max_steps is given, it will override any value given in num_train_epochs\n" ] } ] }, { "cell_type": "code", "source": [ "trainer.train()\n", "\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 272 }, "id": "lccc5EmNgfKh", "outputId": "ca3ad9fa-5781-416b-b2e4-ae9f1a2e2af6" }, "execution_count": 36, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:464: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants.\n", " warnings.warn(\n", "/usr/local/lib/python3.10/dist-packages/bitsandbytes/autograd/_functions.py:316: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n", " warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "\n", "
\n", " \n", " \n", " [50/50 18:32, Epoch 12/13]\n", "
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StepTraining LossValidation LossWer OrthoWer
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" ] }, "metadata": {} }, { "output_type": "stream", "name": "stderr", "text": [ "You have passed task=transcribe, but also have set `forced_decoder_ids` to [[1, None], [2, 50359]] which creates a conflict. `forced_decoder_ids` will be ignored in favor of task=transcribe.\n", "The attention mask is not set and cannot be inferred from input because pad token is same as eos token.As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ "TrainOutput(global_step=50, training_loss=1.58098388671875, metrics={'train_runtime': 1144.0078, 'train_samples_per_second': 0.699, 'train_steps_per_second': 0.044, 'total_flos': 1.3561584058368e+18, 'train_loss': 1.58098388671875, 'epoch': 12.5})" ] }, "metadata": {}, "execution_count": 36 } ] }, { "cell_type": "code", "source": [ "trainer.push_to_hub(\"END\")" ], "metadata": { "id": "TbFAsSKw6frZ", "outputId": "4e09d3a7-63dd-4a42-f24e-73deccb72e15", "colab": { "base_uri": "https://localhost:8080/", "height": 53 } }, "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "CommitInfo(commit_url='https://huggingface.co/kawther1/whisper-LARGE-AR/commit/f6038ee1507cda8acbfa93fd8759c1e284f51ebf', commit_message='END', commit_description='', oid='f6038ee1507cda8acbfa93fd8759c1e284f51ebf', pr_url=None, pr_revision=None, pr_num=None)" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "string" } }, "metadata": {}, "execution_count": 29 } ] }, { "cell_type": "code", "source": [ "from transformers import pipeline\n", "pipe = pipeline(\"automatic-speech-recognition\", model=\"Hamouchy/whisper-Large-ar\")" ], "metadata": { "id": "z2Reu8TwUQac" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "pipe = pipeline(\"automatic-speech-recognition\", model=\"Hamouchy/whisper-Large-ar\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 66, "referenced_widgets": [ "849cea4555974482986abf4d026ebe14", "c466caed3acc48328449fd9f832a3696", "399ae6ea5af64663ae8c1b96bbe5ecae", "475753232f7c4a9cbd31122d2410ffbb", "3171ef6a466b434cb809fa063f24bdb6", "3c4887eb359e40549651f7556e84d763", "703a6fbe5c9a44968ae50ac38694556c", "63c42753f63e420ca177558541de2aec", "cc3a0ed7e22841cfb12adec07ced7b11", "944c59082d074fa9bc0584578f150287", "e7c4e0ea52294e468d8c8bd19cb0e13e" ] }, "id": "BOiny02zTxeX", "outputId": "c7ba3aa2-9641-4f5f-c42c-979ae672a6a4" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "adapter_config.json: 0%| | 0.00/768 [00:00
Copy a token from your Hugging Face\ntokens page and paste it below.
Immediately click login after copying\nyour token or it might be stored in plain text in this notebook file.

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