diff --git "a/tiny.ipynb" "b/tiny.ipynb"
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+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "collapsed": true,
+ "id": "CBGPJVOsqc3L",
+ "outputId": "fa5d3c6d-ca61-4db6-d0e2-24726adf7c47"
+ },
+ "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 https://cloud.r-project.org/bin/linux/ubuntu jammy-cran40/ InRelease [3,626 B]\n",
+ "Get:2 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64 InRelease [1,581 B]\n",
+ "Get:3 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64 Packages [891 kB]\n",
+ "Hit:4 http://archive.ubuntu.com/ubuntu jammy InRelease\n",
+ "Get:5 http://security.ubuntu.com/ubuntu jammy-security InRelease [129 kB]\n",
+ "Get:6 http://archive.ubuntu.com/ubuntu jammy-updates InRelease [128 kB]\n",
+ "Hit:7 https://ppa.launchpadcontent.net/c2d4u.team/c2d4u4.0+/ubuntu jammy InRelease\n",
+ "Get:8 http://security.ubuntu.com/ubuntu jammy-security/universe amd64 Packages [1,085 kB]\n",
+ "Hit:9 https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu jammy InRelease\n",
+ "Hit:10 http://archive.ubuntu.com/ubuntu jammy-backports InRelease\n",
+ "Get:11 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 Packages [1,378 kB]\n",
+ "Get:12 https://ppa.launchpadcontent.net/graphics-drivers/ppa/ubuntu jammy InRelease [24.3 kB]\n",
+ "Ign:13 https://ppa.launchpadcontent.net/jonathonf/ffmpeg-4/ubuntu jammy InRelease\n",
+ "Get:14 http://security.ubuntu.com/ubuntu jammy-security/main amd64 Packages [1,858 kB]\n",
+ "Hit:15 https://ppa.launchpadcontent.net/ubuntugis/ppa/ubuntu jammy InRelease\n",
+ "Get:16 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 Packages [2,129 kB]\n",
+ "Err:17 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",
+ "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 https://cloud.r-project.org/bin/linux/ubuntu jammy-cran40/ InRelease\n",
+ "Hit:2 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64 InRelease\n",
+ "Hit:3 http://security.ubuntu.com/ubuntu jammy-security 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 https://ppa.launchpadcontent.net/c2d4u.team/c2d4u4.0+/ubuntu jammy InRelease\n",
+ "Hit:7 http://archive.ubuntu.com/ubuntu jammy-backports 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 46 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/"
+ },
+ "collapsed": true,
+ "id": "21t5yRBuqj8r",
+ "outputId": "76a8a8f3-2265-45ac-c0d8-1a580cbdb5d5"
+ },
+ "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-nj4841v0\n",
+ " Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers /tmp/pip-req-build-nj4841v0\n",
+ " Resolved https://github.com/huggingface/transformers to commit 3714f3f86b88e81fa13ee4d8b194e9dbba291de7\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) (4.12.0)\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) (2024.2.2)\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=9141380 sha256=0e1ea24057099d81563c3ab4c8ea0eb7f728f9501e6675e3843543da5c57ac0d\n",
+ " Stored in directory: /tmp/pip-ephem-wheel-cache-6z92th1w/wheels/c0/14/d6/6c9a5582d2ac191ec0a483be151a4495fe1eb2a6706ca49f1b\n",
+ "Successfully built transformers\n",
+ "Installing collected packages: transformers\n",
+ " Attempting uninstall: transformers\n",
+ " Found existing installation: transformers 4.41.1\n",
+ " Uninstalling transformers-4.41.1:\n",
+ " Successfully uninstalled transformers-4.41.1\n",
+ "Successfully installed transformers-4.42.0.dev0\n",
+ "Requirement already satisfied: librosa in /usr/local/lib/python3.10/dist-packages (0.10.2.post1)\n",
+ "Requirement already satisfied: audioread>=2.1.9 in /usr/local/lib/python3.10/dist-packages (from librosa) (3.0.1)\n",
+ "Requirement already satisfied: numpy!=1.22.0,!=1.22.1,!=1.22.2,>=1.20.3 in /usr/local/lib/python3.10/dist-packages (from librosa) (1.25.2)\n",
+ "Requirement already satisfied: scipy>=1.2.0 in /usr/local/lib/python3.10/dist-packages (from librosa) (1.11.4)\n",
+ "Requirement already satisfied: scikit-learn>=0.20.0 in /usr/local/lib/python3.10/dist-packages (from librosa) (1.2.2)\n",
+ "Requirement already satisfied: joblib>=0.14 in /usr/local/lib/python3.10/dist-packages (from librosa) (1.4.2)\n",
+ "Requirement already satisfied: decorator>=4.3.0 in /usr/local/lib/python3.10/dist-packages (from librosa) (4.4.2)\n",
+ "Requirement already satisfied: numba>=0.51.0 in /usr/local/lib/python3.10/dist-packages (from librosa) (0.58.1)\n",
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+ "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from lazy-loader>=0.1->librosa) (24.0)\n",
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+ "Requirement already satisfied: platformdirs>=2.5.0 in /usr/local/lib/python3.10/dist-packages (from pooch>=1.1->librosa) (4.2.2)\n",
+ "Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.10/dist-packages (from pooch>=1.1->librosa) (2.32.3)\n",
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+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pooch>=1.1->librosa) (3.7)\n",
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pooch>=1.1->librosa) (2.0.7)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pooch>=1.1->librosa) (2024.2.2)\n",
+ "Collecting jiwer\n",
+ " Downloading jiwer-3.0.4-py3-none-any.whl (21 kB)\n",
+ "Requirement already satisfied: click<9.0.0,>=8.1.3 in /usr/local/lib/python3.10/dist-packages (from jiwer) (8.1.7)\n",
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+ "\u001b[?25hInstalling collected packages: rapidfuzz, jiwer\n",
+ "Successfully installed jiwer-3.0.4 rapidfuzz-3.9.3\n",
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+ " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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+ "\u001b[?25hCollecting fastapi-cli>=0.0.2 (from fastapi->gradio)\n",
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+ "Collecting ujson!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0,>=4.0.1 (from fastapi->gradio)\n",
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+ "\u001b[?25hCollecting email_validator>=2.0.0 (from fastapi->gradio)\n",
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+ "Collecting httptools>=0.5.0 (from uvicorn>=0.14.0->gradio)\n",
+ " Downloading httptools-0.6.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (341 kB)\n",
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+ "\u001b[?25hCollecting python-dotenv>=0.13 (from uvicorn>=0.14.0->gradio)\n",
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+ "Collecting uvloop!=0.15.0,!=0.15.1,>=0.14.0 (from uvicorn>=0.14.0->gradio)\n",
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+ "\u001b[?25hCollecting watchfiles>=0.13 (from uvicorn>=0.14.0->gradio)\n",
+ " Downloading watchfiles-0.22.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB)\n",
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+ "\u001b[?25hRequirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.19.3->gradio) (3.3.2)\n",
+ "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich>=10.11.0->typer<1.0,>=0.12->gradio) (0.1.2)\n",
+ "Building wheels for collected packages: ffmpy\n",
+ " Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ " Created wheel for ffmpy: filename=ffmpy-0.3.2-py3-none-any.whl size=5584 sha256=3b5e9f7d9ff68ac89e03418f0337904d2d6f9c5a47464dc9c453785a71afdbd9\n",
+ " Stored in directory: /root/.cache/pip/wheels/bd/65/9a/671fc6dcde07d4418df0c592f8df512b26d7a0029c2a23dd81\n",
+ "Successfully built ffmpy\n",
+ "Installing collected packages: pydub, ffmpy, websockets, uvloop, ujson, tomlkit, shellingham, semantic-version, ruff, python-multipart, python-dotenv, orjson, httptools, h11, dnspython, aiofiles, watchfiles, uvicorn, starlette, httpcore, email_validator, typer, httpx, gradio-client, fastapi-cli, fastapi, gradio\n",
+ " Attempting uninstall: typer\n",
+ " Found existing installation: typer 0.9.4\n",
+ " Uninstalling typer-0.9.4:\n",
+ " Successfully uninstalled typer-0.9.4\n",
+ "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
+ "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-4.32.2 gradio-client-0.17.0 h11-0.14.0 httpcore-1.0.5 httptools-0.6.1 httpx-0.27.0 orjson-3.10.3 pydub-0.25.1 python-dotenv-1.0.1 python-multipart-0.0.9 ruff-0.4.7 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[32m302.6/302.6 kB\u001b[0m \u001b[31m8.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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+ "\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 datasets accelerate\n",
+ "!pip install -q git+https://github.com/huggingface/transformers.git@main git+https://github.com/huggingface/peft.git@main"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "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"
+ ],
+ "metadata": {
+ "id": "ReVNUWtgdp8Y"
+ }
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 160,
+ "referenced_widgets": [
+ "27f962a077864472ba5aa7b8e3b11bc5",
+ "95d01495aefc486abc9c32d2f504cbe2",
+ "b608b842cdf447a0ab39f40222c9e3be",
+ "f1f2dd167b4e4c5b8cf6a319f5874fdb",
+ "150650301e89405a917c386c108daf71",
+ "79640c4c109c461e939b0e7db1eb705e",
+ "e982010f92df4ffd847f977bfb82f3da",
+ "98e3e7548ddf4ce699845838e9f51b84",
+ "b08fac96e7054eab9a08ce7f73494992",
+ "50fd79de5ae04f638a3d05aff3692ec8",
+ "efeed39ef5f94b18a622c8fddedc6e04",
+ "77481f7e69b5426ba7145081db0b8986",
+ "32944beacce649ffa01b2baa0a249fcf",
+ "f731f88051d740d2a66ab1e6dc299aa5",
+ "45adf105a22644378e05d67b7df80c37",
+ "04615fed4a2c4a6182e81d686afbee6c",
+ "5968871d69bc4addad1d5b5282ee18a3",
+ "f1f5e70a6b0e4d7b89eac0652d956325",
+ "c0905b30adc0425d9dbaafff59ad5cc0",
+ "d8af964a82ca4dc2879c8f8ec1b75543",
+ "c4f13e226fa24a8c879aa54a20095e85",
+ "99f88e91442e4130a2cccf90b5e285a6",
+ "c02d006eb0e2486dac93f94d6187149a",
+ "a3e154d4d8f04b90928d296f6e07afc2",
+ "b94bab88faa940ee8768974d30832877",
+ "92b3f0dee5514900936127da1b16cfce",
+ "ed37178603c5485282a12094e61ea8d2",
+ "77b5961211ab4014b045eca8627debf3",
+ "a2e4b99722814ae8a4a2bc64e27a1135",
+ "41738bc27a7c45aeb69e31aa11b14a6b",
+ "63b1d17b66614379964ba4585717788e",
+ "afdaf331434e47d799bd2d3543724264"
+ ]
+ },
+ "id": "aid7PM1FsZVA",
+ "outputId": "09194cd6-3bcf-46d5-c966-097eee46b8ce"
+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "VBox(children=(HTML(value='
' instead.\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n",
+ "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
+ "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
+ "You will be able to reuse this secret in all of your notebooks.\n",
+ "Please note that authentication is recommended but still optional to access public models or datasets.\n",
+ " warnings.warn(\n",
+ "/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 builder script: 0%| | 0.00/8.17k [00:00, ?B/s]"
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+ ]
+ },
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+ }
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+ },
+ {
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+ "name": "stderr",
+ "text": [
+ "\n",
+ "Reading metadata...: 0it [00:00, ?it/s]\u001b[A\n",
+ "Reading metadata...: 15082it [00:00, 141133.95it/s]\n",
+ "/usr/local/lib/python3.10/dist-packages/datasets/load.py:2552: FutureWarning: 'use_auth_token' was deprecated in favor of 'token' in version 2.14.0 and will be removed in 3.0.0.\n",
+ "You can remove this warning by passing 'token=' 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": "stream",
+ "name": "stdout",
+ "text": [
+ "DatasetDict({\n",
+ " train: Dataset({\n",
+ " features: ['client_id', 'path', 'audio', 'sentence', 'up_votes', 'down_votes', 'age', 'gender', 'accent', 'locale', 'segment', 'variant'],\n",
+ " num_rows: 8512\n",
+ " })\n",
+ " test: Dataset({\n",
+ " features: ['client_id', 'path', 'audio', 'sentence', 'up_votes', 'down_votes', 'age', 'gender', 'accent', 'locale', 'segment', 'variant'],\n",
+ " num_rows: 3143\n",
+ " })\n",
+ "})\n"
+ ]
+ }
+ ],
+ "source": [
+ "\n",
+ "from datasets import load_dataset, DatasetDict\n",
+ "\n",
+ "dataset_name = \"mozilla-foundation/common_voice_16_1\"\n",
+ "common_voice = DatasetDict()\n",
+ "\n",
+ "# Charger 40 % des données d'entraînement et de validation\n",
+ "common_voice[\"train\"] = load_dataset(dataset_name, language_abbr, split=\"train[:30%]\", use_auth_token=True)\n",
+ "common_voice[\"test\"] = load_dataset(dataset_name, language_abbr, split=\"test[:30%]\", use_auth_token=True)\n",
+ "\n",
+ "print(common_voice)\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "pS89HXrswpWH",
+ "outputId": "a4bacd5f-01a8-42cb-96cb-96fa18070376"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "DatasetDict({\n",
+ " train: Dataset({\n",
+ " features: ['audio', 'sentence', 'variant'],\n",
+ " num_rows: 8512\n",
+ " })\n",
+ " test: Dataset({\n",
+ " features: ['audio', 'sentence', 'variant'],\n",
+ " num_rows: 3143\n",
+ " })\n",
+ "})\n"
+ ]
+ }
+ ],
+ "source": [
+ "common_voice = common_voice.remove_columns(\n",
+ " [\"accent\", \"age\", \"client_id\", \"down_votes\", \"gender\", \"locale\", \"path\", \"segment\", \"up_votes\"]\n",
+ ")\n",
+ "\n",
+ "print(common_voice)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
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+ ],
+ "source": [
+ "from transformers import WhisperFeatureExtractor\n",
+ "feature_extractor = WhisperFeatureExtractor.from_pretrained(model_name_or_path)"
+ ]
+ },
+ {
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+ "data": {
+ "text/plain": [
+ "added_tokens.json: 0%| | 0.00/34.6k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "d76403869f4742f093d76d99278679e3"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "special_tokens_map.json: 0%| | 0.00/2.19k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "863c218039ef4df6b2a295f38925b918"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"
+ ]
+ }
+ ],
+ "source": [
+ "from transformers import WhisperTokenizer\n",
+ "\n",
+ "tokenizer = WhisperTokenizer.from_pretrained(model_name_or_path)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "Xk6_lohQxE_S",
+ "outputId": "2540bd25-d8be-49d2-b626-095005b8f00d"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"
+ ]
+ }
+ ],
+ "source": [
+ "from transformers import WhisperProcessor\n",
+ "\n",
+ "processor = WhisperProcessor.from_pretrained(model_name_or_path, language=language, task=task)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {
+ "id": "DFsKaQt8xSdv"
+ },
+ "outputs": [],
+ "source": [
+ "from datasets import Audio\n",
+ "\n",
+ "common_voice = common_voice.cast_column(\"audio\", Audio(sampling_rate=16000))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {
+ "id": "5DSXtcjoxXLk"
+ },
+ "outputs": [],
+ "source": [
+ "def prepare_dataset(example):\n",
+ " audio = example[\"audio\"]\n",
+ "\n",
+ " example = processor(\n",
+ " audio=audio[\"array\"],\n",
+ " sampling_rate=audio[\"sampling_rate\"],\n",
+ " text=example[\"sentence\"],\n",
+ " )\n",
+ "\n",
+ " # compute input length of audio sample in seconds\n",
+ " example[\"input_length\"] = len(audio[\"array\"]) / audio[\"sampling_rate\"]\n",
+ "\n",
+ " return example"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 81,
+ "referenced_widgets": [
+ "4eeeee1ded0e4c428b477df24ce8a6b6",
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+ ]
+ },
+ "id": "LEhgIVQrxj69",
+ "outputId": "f488f445-a561-436a-804a-6434ad1de7eb"
+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Map: 0%| | 0/8512 [00:00, ? examples/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "4eeeee1ded0e4c428b477df24ce8a6b6"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Map: 0%| | 0/3143 [00:00, ? examples/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "57c294e0f3d1454e9c1eabe1a0c2624c"
+ }
+ },
+ "metadata": {}
+ }
+ ],
+ "source": [
+ "common_voice = common_voice.map(\n",
+ " prepare_dataset, remove_columns=common_voice.column_names[\"train\"], num_proc=1\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {
+ "id": "I5bQvQ2B5Lvx"
+ },
+ "outputs": [],
+ "source": [
+ "max_input_length = 30.0\n",
+ "\n",
+ "\n",
+ "def is_audio_in_length_range(length):\n",
+ " return length < max_input_length"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 49,
+ "referenced_widgets": [
+ "9c47a3d7a1024447adb058a2d6248082",
+ "2c86a3794f974ad68c75a2f8b277e7c7",
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+ "91726417f86945b2a7fa1c7b4adb65e4"
+ ]
+ },
+ "id": "tvPKjkst5YB9",
+ "outputId": "8eb4b915-925b-4bc0-e6d0-06014a752b8d"
+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Filter: 0%| | 0/8512 [00:00, ? examples/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "9c47a3d7a1024447adb058a2d6248082"
+ }
+ },
+ "metadata": {}
+ }
+ ],
+ "source": [
+ "common_voice[\"train\"] = common_voice[\"train\"].filter(\n",
+ " is_audio_in_length_range,\n",
+ " input_columns=[\"input_length\"],\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {
+ "id": "roDjYhDnx8co"
+ },
+ "outputs": [],
+ "source": [
+ "import torch\n",
+ "\n",
+ "from dataclasses import dataclass\n",
+ "from typing import Any, Dict, List, Union\n",
+ "\n",
+ "\n",
+ "@dataclass\n",
+ "class DataCollatorSpeechSeq2SeqWithPadding:\n",
+ " processor: Any\n",
+ "\n",
+ " def __call__(\n",
+ " self, features: List[Dict[str, Union[List[int], torch.Tensor]]]\n",
+ " ) -> Dict[str, torch.Tensor]:\n",
+ " # diviser les entrées et les étiquettes car elles doivent être de longueurs différentes et nécessitent des méthodes de remplissage différentes\n",
+ " # traiter d'abord les entrées audio en renvoyant simplement des tenseurs Torch\n",
+ " input_features = [\n",
+ " {\"input_features\": feature[\"input_features\"][0]} for feature in features\n",
+ " ]\n",
+ " batch = self.processor.feature_extractor.pad(input_features, return_tensors=\"pt\")\n",
+ "\n",
+ " # obtenir les séquences d'étiquettes tokenisées\n",
+ " label_features = [{\"input_ids\": feature[\"labels\"]} for feature in features]\n",
+ " # rembourrer les étiquettes à la longueur maximale\n",
+ " labels_batch = self.processor.tokenizer.pad(label_features, return_tensors=\"pt\")\n",
+ "\n",
+ " # remplacer le remplissage par -100 pour ignorer correctement les pertes\n",
+ " labels = labels_batch[\"input_ids\"].masked_fill(\n",
+ " labels_batch.attention_mask.ne(1), -100\n",
+ " )\n",
+ "\n",
+ " # si le token bos est ajouté lors de l'étape de tokenisation précédente, couper le token bos ici puisqu'il sera de toute façon ajouté plus tard\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": 16,
+ "metadata": {
+ "id": "wZ9B0tSt5lLt"
+ },
+ "outputs": [],
+ "source": [
+ "data_collator = DataCollatorSpeechSeq2SeqWithPadding(processor=processor)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 49,
+ "referenced_widgets": [
+ "ee3ca62003114d818e7ab083629b5f89",
+ "4eaa59e83fa6495aa174a8b40d192783",
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+ "216f92567969405dbffeac363fb82634",
+ "ee2880bb04d9414b84cabbf020bbbc98",
+ "a4486e2b7e0741abb36c6a2dca8eedbf",
+ "4fc516a40fce4129bafcccaef0c37e89",
+ "200905a42eea4301a8b2411cbe46dfa0",
+ "61be4dca971d416cbc93cd45cadb761b",
+ "df217223965d444a82ec830d337e9a46",
+ "abd90a03018145c18d7ea05e9f201261"
+ ]
+ },
+ "id": "KEiBuVluy4xR",
+ "outputId": "fb8bcd11-279b-4389-eee3-8b66f4005c6d"
+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading builder script: 0%| | 0.00/4.49k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "ee3ca62003114d818e7ab083629b5f89"
+ }
+ },
+ "metadata": {}
+ }
+ ],
+ "source": [
+ "import evaluate\n",
+ "\n",
+ "metric = evaluate.load(\"wer\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {
+ "id": "Y6mNb3tUy9aZ"
+ },
+ "outputs": [],
+ "source": [
+ "from transformers.models.whisper.english_normalizer import BasicTextNormalizer\n",
+ "\n",
+ "normalizer = BasicTextNormalizer()\n",
+ "\n",
+ "\n",
+ "def compute_metrics(pred):\n",
+ " pred_ids = pred.predictions\n",
+ " label_ids = pred.label_ids\n",
+ "\n",
+ " # remplacer -100 par pad_token_id\n",
+ " label_ids[label_ids == -100] = processor.tokenizer.pad_token_id\n",
+ "\n",
+ " # nous ne voulons pas grouper les *tokens* lors du calcul des métriques\n",
+ " pred_str = processor.batch_decode(pred_ids, skip_special_tokens=True)\n",
+ " label_str = processor.batch_decode(label_ids, skip_special_tokens=True)\n",
+ "\n",
+ " # calculer le Wer orthographique\n",
+ " wer_ortho = 100 * metric.compute(predictions=pred_str, references=label_str)\n",
+ "\n",
+ " # calculer le WER normalisé\n",
+ " pred_str_norm = [normalizer(pred) for pred in pred_str]\n",
+ " label_str_norm = [normalizer(label) for label in label_str]\n",
+ " # afin de n'évaluer que les échantillons correspondant à des références non nulles\n",
+ " pred_str_norm = [\n",
+ " pred_str_norm[i] for i in range(len(pred_str_norm)) if len(label_str_norm[i]) > 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",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 113,
+ "referenced_widgets": [
+ "e9949bcb92e74330a298c7aafdb7813f",
+ "cc46a58b50fd400fa8e5e7a28aed26ee",
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+ "10d5007a3bf746cc908e11028af2ce8e",
+ "92b0501b9ce547e9803404e632b599b5",
+ "61b05f827b2641b2a64e053aae52f9fe",
+ "c533b8c89a9240ada2dd485d157df800",
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+ "19adc3029c27464b97ae85317aa75420",
+ "14bfd000eb8a48b2858b3cbea2a00169",
+ "1125f5e6dcab496d875a4d04ed453810",
+ "8d311d38e987470aa36954ce4fa4acaa",
+ "5dd6337e661149d69625c1d8299fea5b",
+ "d026fdddbe3d43648604a8d8c2599683",
+ "be53fdb25f2f428caafa59123bc6795a",
+ "d313dfc1c1624775ab3748f428b22a20",
+ "5f215b51ddee4ac78b6241db7868cbf9",
+ "b4162644db454eb780c5703ae44c8468",
+ "9df603ade69f437dbd49e3d2c6ff3d93"
+ ]
+ },
+ "outputId": "c1243a13-5b85-4fa6-d38b-9df8109b6651"
+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "config.json: 0%| | 0.00/1.98k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "e9949bcb92e74330a298c7aafdb7813f"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "model.safetensors: 0%| | 0.00/151M [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "5f00a6cdc9724bb7b24ff3d01549d558"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "generation_config.json: 0%| | 0.00/3.75k [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "19adc3029c27464b97ae85317aa75420"
+ }
+ },
+ "metadata": {}
+ }
+ ],
+ "source": [
+ "from transformers import WhisperForConditionalGeneration\n",
+ "\n",
+ "model = WhisperForConditionalGeneration.from_pretrained(\"openai/whisper-tiny\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {
+ "id": "KR3d1_Xo6Cjr"
+ },
+ "outputs": [],
+ "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=\"transcribe\", use_cache=True\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "uFd-vOKtGUAQ",
+ "outputId": "f12b22f1-fc13-4f02-d007-d0540d9e4d9e"
+ },
+ "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"
+ ]
+ }
+ ],
+ "source": [
+ "from transformers import Seq2SeqTrainingArguments\n",
+ "\n",
+ "training_args = Seq2SeqTrainingArguments(\n",
+ " output_dir=\"./whisper-tiny-dv\", # name on the HF Hub\n",
+ " per_device_train_batch_size=16,\n",
+ " gradient_accumulation_steps=1, # increase by 2x for every 2x decrease in batch size\n",
+ " learning_rate=1e-5,\n",
+ " lr_scheduler_type=\"constant_with_warmup\",\n",
+ " warmup_steps=50,\n",
+ " max_steps=500, # increase to 4000 if you have your own GPU or a Colab paid plan\n",
+ " gradient_checkpointing=True,\n",
+ " fp16=True,\n",
+ " fp16_full_eval=True,\n",
+ " evaluation_strategy=\"steps\",\n",
+ " per_device_eval_batch_size=16,\n",
+ " predict_with_generate=True,\n",
+ " generation_max_length=225,\n",
+ " save_steps=500,\n",
+ " eval_steps=500,\n",
+ " logging_steps=25,\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",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "jus8xWr4gcwx",
+ "outputId": "72a6dc74-ecf9-4032-8437-bafc0e3bdccc"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "max_steps is given, it will override any value given in num_train_epochs\n"
+ ]
+ }
+ ],
+ "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,\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 290
+ },
+ "id": "lccc5EmNgfKh",
+ "outputId": "2a2fb898-d608-4c69-a737-8dbcb56d90bb"
+ },
+ "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"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "text/html": [
+ "\n",
+ " \n",
+ " \n",
+ "
\n",
+ " [500/500 26:56, Epoch 0/1]\n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " Step | \n",
+ " Training Loss | \n",
+ " Validation Loss | \n",
+ " Wer Ortho | \n",
+ " Wer | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 500 | \n",
+ " 0.543300 | \n",
+ " 0.880892 | \n",
+ " 77.760162 | \n",
+ " 111.205523 | \n",
+ "
\n",
+ " \n",
+ "
"
+ ]
+ },
+ "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",
+ "Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.\n",
+ "Non-default generation parameters: {'max_length': 448, 'suppress_tokens': [1, 2, 7, 8, 9, 10, 14, 25, 26, 27, 28, 29, 31, 58, 59, 60, 61, 62, 63, 90, 91, 92, 93, 359, 503, 522, 542, 873, 893, 902, 918, 922, 931, 1350, 1853, 1982, 2460, 2627, 3246, 3253, 3268, 3536, 3846, 3961, 4183, 4667, 6585, 6647, 7273, 9061, 9383, 10428, 10929, 11938, 12033, 12331, 12562, 13793, 14157, 14635, 15265, 15618, 16553, 16604, 18362, 18956, 20075, 21675, 22520, 26130, 26161, 26435, 28279, 29464, 31650, 32302, 32470, 36865, 42863, 47425, 49870, 50254, 50258, 50358, 50359, 50360, 50361, 50362], 'begin_suppress_tokens': [220, 50257]}\n",
+ "There were missing keys in the checkpoint model loaded: ['proj_out.weight'].\n"
+ ]
+ },
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "TrainOutput(global_step=500, training_loss=0.8223226089477539, metrics={'train_runtime': 1621.5156, 'train_samples_per_second': 4.934, 'train_steps_per_second': 0.308, 'total_flos': 1.9695108096e+17, 'train_loss': 0.8223226089477539, 'epoch': 0.9398496240601504})"
+ ]
+ },
+ "metadata": {},
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+ }
+ ],
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+ "metadata": {
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+ },
+ "id": "TbFAsSKw6frZ",
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+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.\n",
+ "Non-default generation parameters: {'max_length': 448, 'suppress_tokens': [1, 2, 7, 8, 9, 10, 14, 25, 26, 27, 28, 29, 31, 58, 59, 60, 61, 62, 63, 90, 91, 92, 93, 359, 503, 522, 542, 873, 893, 902, 918, 922, 931, 1350, 1853, 1982, 2460, 2627, 3246, 3253, 3268, 3536, 3846, 3961, 4183, 4667, 6585, 6647, 7273, 9061, 9383, 10428, 10929, 11938, 12033, 12331, 12562, 13793, 14157, 14635, 15265, 15618, 16553, 16604, 18362, 18956, 20075, 21675, 22520, 26130, 26161, 26435, 28279, 29464, 31650, 32302, 32470, 36865, 42863, 47425, 49870, 50254, 50258, 50358, 50359, 50360, 50361, 50362], 'begin_suppress_tokens': [220, 50257]}\n"
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+ },
+ {
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+ "execution_count": null,
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+ "description_width": ""
+ }
+ }
+ }
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
\ No newline at end of file