diff --git "a/welsh_training_script.ipynb" "b/welsh_training_script.ipynb"
new file mode 100644--- /dev/null
+++ "b/welsh_training_script.ipynb"
@@ -0,0 +1,9832 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "ZG_P29nKcSeI"
+ },
+ "source": [
+ "# HuggingFace challenge - Debugger notebook\n",
+ "Run this notebook to verify your libraries versions, check GPU config and run a quick training"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "id": "YacvHugMc1Ka"
+ },
+ "outputs": [],
+ "source": [
+ "# %%capture\n",
+ "# !pip install https://github.com/kpu/kenlm/archive/master.zip pyctcdecode\n",
+ "# !pip install datasets==1.18.3\n",
+ "# !pip install git+https://github.com/huggingface/transformers.git\n",
+ "# !pip install huggingface_hub==0.1\n",
+ "# !pip install torchaudio==0.10.0+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html\n",
+ "# !pip install jiwer\n",
+ "# !pip install -U git+https://github.com/huggingface/transformers.git"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "vy63SoiZbnB5",
+ "outputId": "17391c60-b894-4571-b8a4-d46b18cb42e2"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Collecting git+https://github.com/huggingface/transformers.git\n",
+ " Cloning https://github.com/huggingface/transformers.git to /tmp/pip-req-build-i45amciw\n",
+ " Running command git clone -q https://github.com/huggingface/transformers.git /tmp/pip-req-build-i45amciw\n",
+ " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
+ " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
+ " Preparing wheel metadata ... \u001b[?25l\u001b[?25hdone\n",
+ "Requirement already satisfied: huggingface-hub<1.0,>=0.1.0 in /usr/local/lib/python3.7/dist-packages (from transformers==4.17.0.dev0) (0.1.0)\n",
+ "Requirement already satisfied: filelock in /usr/local/lib/python3.7/dist-packages (from transformers==4.17.0.dev0) (3.4.2)\n",
+ "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from transformers==4.17.0.dev0) (4.10.1)\n",
+ "Requirement already satisfied: tokenizers!=0.11.3,>=0.10.1 in /usr/local/lib/python3.7/dist-packages (from transformers==4.17.0.dev0) (0.11.4)\n",
+ "Requirement already satisfied: sacremoses in /usr/local/lib/python3.7/dist-packages (from transformers==4.17.0.dev0) (0.0.47)\n",
+ "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.7/dist-packages (from transformers==4.17.0.dev0) (1.19.5)\n",
+ "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.7/dist-packages (from transformers==4.17.0.dev0) (4.62.3)\n",
+ "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from transformers==4.17.0.dev0) (2.23.0)\n",
+ "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.7/dist-packages (from transformers==4.17.0.dev0) (6.0)\n",
+ "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.7/dist-packages (from transformers==4.17.0.dev0) (21.3)\n",
+ "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.7/dist-packages (from transformers==4.17.0.dev0) (2019.12.20)\n",
+ "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from huggingface-hub<1.0,>=0.1.0->transformers==4.17.0.dev0) (3.10.0.2)\n",
+ "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging>=20.0->transformers==4.17.0.dev0) (3.0.7)\n",
+ "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->transformers==4.17.0.dev0) (3.7.0)\n",
+ "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->transformers==4.17.0.dev0) (2.10)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->transformers==4.17.0.dev0) (2021.10.8)\n",
+ "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->transformers==4.17.0.dev0) (3.0.4)\n",
+ "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->transformers==4.17.0.dev0) (1.24.3)\n",
+ "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers==4.17.0.dev0) (1.15.0)\n",
+ "Requirement already satisfied: joblib in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers==4.17.0.dev0) (1.1.0)\n",
+ "Requirement already satisfied: click in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers==4.17.0.dev0) (7.1.2)\n"
+ ]
+ }
+ ],
+ "source": [
+ "# !pip install -U git+https://github.com/huggingface/transformers.git"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "id": "T2utsYSKszvv"
+ },
+ "outputs": [],
+ "source": [
+ "import platform\n",
+ "import multiprocessing\n",
+ "\n",
+ "import torch\n",
+ "import transformers\n",
+ "import datasets\n",
+ "\n",
+ "import soundfile"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "ejKNEyJEcSeO"
+ },
+ "source": [
+ "## Print main infos"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "5P6I-W9ts-kR",
+ "outputId": "bd0c00d8-91c9-4b1a-8f2c-24182c2b227f"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Platform: Linux-5.11.0-37-generic-x86_64-with-glibc2.10\n",
+ "CPU cores: 60\n",
+ "Python version: 3.8.8\n",
+ "PyTorch version: 1.10.1+cu102\n",
+ "GPU is visible: True\n",
+ "Transformers version: 4.16.0.dev0\n",
+ "Datasets version: 1.18.3\n",
+ "soundfile version: 0.10.3\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(f\"Platform: {platform.platform()}\")\n",
+ "print(f\"CPU cores: {multiprocessing.cpu_count()}\")\n",
+ "\n",
+ "print(f\"Python version: {platform.python_version()}\")\n",
+ "\n",
+ "print(f\"PyTorch version: {torch.__version__}\")\n",
+ "print(f\"GPU is visible: {torch.cuda.is_available()}\")\n",
+ "\n",
+ "print(f\"Transformers version: {transformers.__version__}\")\n",
+ "print(f\"Datasets version: {datasets.__version__}\")\n",
+ "\n",
+ "print(f\"soundfile version: {soundfile.__version__}\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "_VUKw21PcSeQ"
+ },
+ "source": [
+ "## Check your GPU informations (if any)\n",
+ "If you launched an AI Training job with GPU resources, they should be listed below (Tesla V100s 32GB).\n",
+ "Driver and CUDA version "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "YT7fRnKctggU",
+ "outputId": "1fb2c851-11c3-4fcd-ad23-9032f25d7f8d"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Sat Jan 29 03:27:00 2022 \n",
+ "+-----------------------------------------------------------------------------+\n",
+ "| NVIDIA-SMI 470.57.02 Driver Version: 470.57.02 CUDA Version: 11.4 |\n",
+ "|-------------------------------+----------------------+----------------------+\n",
+ "| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n",
+ "| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n",
+ "| | | MIG M. |\n",
+ "|===============================+======================+======================|\n",
+ "| 0 Tesla V100S-PCI... Off | 00000000:00:06.0 Off | 0 |\n",
+ "| N/A 35C P0 26W / 250W | 4MiB / 32510MiB | 0% Default |\n",
+ "| | | N/A |\n",
+ "+-------------------------------+----------------------+----------------------+\n",
+ " \n",
+ "+-----------------------------------------------------------------------------+\n",
+ "| Processes: |\n",
+ "| GPU GI CI PID Type Process name GPU Memory |\n",
+ "| ID ID Usage |\n",
+ "|=============================================================================|\n",
+ "| No running processes found |\n",
+ "+-----------------------------------------------------------------------------+\n"
+ ]
+ }
+ ],
+ "source": [
+ "!nvidia-smi"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 241,
+ "referenced_widgets": [
+ "50a1252082d942b09bfc620a9fa9d1d0",
+ "e270b7c82f784ebbbba4b17fb07c310d",
+ "32eb83bb6fd34c56bb345368e47e8f6f",
+ "34417f648cd54ed5b6d91f53af3e2713",
+ "7518572223ac480b89af2ab71f38b2ed",
+ "ce8bb7d0fb744e7b9ce2ff35cfdbc679",
+ "aa47a09bf444413ba95322d979c1908c",
+ "0b83a8775ea1441980d8ba945be752fe",
+ "127389ec566e423ab9a8f60a9d61caaa",
+ "4e4bc5550505497ba35f6bd7dde2893f",
+ "e5124c5171e04625b70795e4b7a18819",
+ "e410e7aecf23433f880a0f7169a8ce97",
+ "0f6b3cf1d33f46f594934874170bcd83",
+ "e549178ba75f4939aba6ae1cf743722a",
+ "9c28978adf974326a21259ae56f47fe9",
+ "7d3231a0b7794b11af662170b352d9e0"
+ ]
+ },
+ "id": "3Wj2W4tWcSeR",
+ "outputId": "ad4eb63f-d643-45bd-b8d7-6adfefd9f773"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Login successful\n",
+ "Your token has been saved to /root/.huggingface/token\n",
+ "\u001b[1m\u001b[31mAuthenticated through git-crendential store but this isn't the helper defined on your machine.\n",
+ "You will have to re-authenticate when pushing to the Hugging Face Hub. Run the following command in your terminal to set it as the default\n",
+ "\n",
+ "git config --global credential.helper store\u001b[0m\n"
+ ]
+ }
+ ],
+ "source": [
+ "from huggingface_hub import notebook_login\n",
+ "\n",
+ "notebook_login()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {
+ "id": "wHpUxFQPeWE2"
+ },
+ "outputs": [],
+ "source": [
+ "%%capture\n",
+ "!apt install git-lfs"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "TorMtpwPv6RQ"
+ },
+ "source": [
+ "## Quick training run with a dummy model and data\n",
+ "more information on https://github.com/huggingface/transformers/tree/master/examples/pytorch/speech-recognition"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "fevoJD15u4Ss",
+ "outputId": "64745ecf-65b0-494d-a88d-52826eaae0f8"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "--2022-01-28 09:12:30-- https://raw.githubusercontent.com/huggingface/transformers/master/examples/research_projects/robust-speech-event/run_speech_recognition_ctc_bnb.py\n",
+ "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.111.133, 185.199.109.133, ...\n",
+ "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.\n",
+ "HTTP request sent, awaiting response... 200 OK\n",
+ "Length: 31209 (30K) [text/plain]\n",
+ "Saving to: ‘run_speech_recognition_ctc.py’\n",
+ "\n",
+ "run_speech_recognit 100%[===================>] 30.48K --.-KB/s in 0.001s \n",
+ "\n",
+ "2022-01-28 09:12:30 (21.4 MB/s) - ‘run_speech_recognition_ctc.py’ saved [31209/31209]\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "!wget -O run_speech_recognition_ctc.py https://raw.githubusercontent.com/huggingface/transformers/master/examples/pytorch/speech-recognition/run_speech_recognition_ctc.py\n",
+ "# !wget -O run_speech_recognition_ctc.py https://raw.githubusercontent.com/huggingface/transformers/master/examples/research_projects/robust-speech-event/run_speech_recognition_ctc_bnb.py"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {
+ "id": "XJRA51HjcSeT"
+ },
+ "outputs": [],
+ "source": [
+ "# \t--learning_rate=\"7.5e-5\" \\\n",
+ "# 84.5"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "hZOB6ZAnsvDX",
+ "outputId": "7b6a85b5-950c-46a1-c005-b885f8a9bd17"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "nvcc: NVIDIA (R) Cuda compiler driver\n",
+ "Copyright (c) 2005-2020 NVIDIA Corporation\n",
+ "Built on Mon_Oct_12_20:09:46_PDT_2020\n",
+ "Cuda compilation tools, release 11.1, V11.1.105\n",
+ "Build cuda_11.1.TC455_06.29190527_0\n"
+ ]
+ }
+ ],
+ "source": [
+ "!nvcc --version"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "NKlgW0E-sldT",
+ "outputId": "b925521a-29d2-4787-dd5b-6520dda688e4"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Collecting bitsandbytes-cuda111\n",
+ " Downloading bitsandbytes_cuda111-0.26.0-py3-none-any.whl (4.0 MB)\n",
+ "\u001b[K |████████████████████████████████| 4.0 MB 4.3 MB/s \n",
+ "\u001b[?25hInstalling collected packages: bitsandbytes-cuda111\n",
+ "Successfully installed bitsandbytes-cuda111-0.26.0\n"
+ ]
+ }
+ ],
+ "source": [
+ "!pip install bitsandbytes-cuda111"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "remove special characters from datasets: 11695ex [00:02, 4262.69ex/s]\n",
+ "remove special characters from datasets: 4850ex [00:01, 4827.87ex/s]\n",
+ "loading configuration file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/config.json from cache at /workspace/.cache/huggingface/transformers/dabc27df63e37bd2a7a221c7774e35f36a280fbdf917cf54cadfc7df8c786f6f.a3e4c3c967d9985881e0ae550a5f6f668f897db5ab2e0802f9b97973b15970e6\n",
+ "Model config Wav2Vec2Config {\n",
+ " \"_name_or_path\": \"facebook/wav2vec2-xls-r-300m\",\n",
+ " \"activation_dropout\": 0.0,\n",
+ " \"adapter_kernel_size\": 3,\n",
+ " \"adapter_stride\": 2,\n",
+ " \"add_adapter\": false,\n",
+ " \"apply_spec_augment\": true,\n",
+ " \"architectures\": [\n",
+ " \"Wav2Vec2ForPreTraining\"\n",
+ " ],\n",
+ " \"attention_dropout\": 0.1,\n",
+ " \"bos_token_id\": 1,\n",
+ " \"classifier_proj_size\": 256,\n",
+ " \"codevector_dim\": 768,\n",
+ " \"contrastive_logits_temperature\": 0.1,\n",
+ " \"conv_bias\": true,\n",
+ " \"conv_dim\": [\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 512\n",
+ " ],\n",
+ " \"conv_kernel\": [\n",
+ " 10,\n",
+ " 3,\n",
+ " 3,\n",
+ " 3,\n",
+ " 3,\n",
+ " 2,\n",
+ " 2\n",
+ " ],\n",
+ " \"conv_stride\": [\n",
+ " 5,\n",
+ " 2,\n",
+ " 2,\n",
+ " 2,\n",
+ " 2,\n",
+ " 2,\n",
+ " 2\n",
+ " ],\n",
+ " \"ctc_loss_reduction\": \"sum\",\n",
+ " \"ctc_zero_infinity\": false,\n",
+ " \"diversity_loss_weight\": 0.1,\n",
+ " \"do_stable_layer_norm\": true,\n",
+ " \"eos_token_id\": 2,\n",
+ " \"feat_extract_activation\": \"gelu\",\n",
+ " \"feat_extract_dropout\": 0.0,\n",
+ " \"feat_extract_norm\": \"layer\",\n",
+ " \"feat_proj_dropout\": 0.1,\n",
+ " \"feat_quantizer_dropout\": 0.0,\n",
+ " \"final_dropout\": 0.0,\n",
+ " \"gradient_checkpointing\": false,\n",
+ " \"hidden_act\": \"gelu\",\n",
+ " \"hidden_dropout\": 0.1,\n",
+ " \"hidden_size\": 1024,\n",
+ " \"initializer_range\": 0.02,\n",
+ " \"intermediate_size\": 4096,\n",
+ " \"layer_norm_eps\": 1e-05,\n",
+ " \"layerdrop\": 0.1,\n",
+ " \"mask_feature_length\": 10,\n",
+ " \"mask_feature_min_masks\": 0,\n",
+ " \"mask_feature_prob\": 0.0,\n",
+ " \"mask_time_length\": 10,\n",
+ " \"mask_time_min_masks\": 2,\n",
+ " \"mask_time_prob\": 0.075,\n",
+ " \"model_type\": \"wav2vec2\",\n",
+ " \"num_adapter_layers\": 3,\n",
+ " \"num_attention_heads\": 16,\n",
+ " \"num_codevector_groups\": 2,\n",
+ " \"num_codevectors_per_group\": 320,\n",
+ " \"num_conv_pos_embedding_groups\": 16,\n",
+ " \"num_conv_pos_embeddings\": 128,\n",
+ " \"num_feat_extract_layers\": 7,\n",
+ " \"num_hidden_layers\": 24,\n",
+ " \"num_negatives\": 100,\n",
+ " \"output_hidden_size\": 1024,\n",
+ " \"pad_token_id\": 0,\n",
+ " \"proj_codevector_dim\": 768,\n",
+ " \"tdnn_dilation\": [\n",
+ " 1,\n",
+ " 2,\n",
+ " 3,\n",
+ " 1,\n",
+ " 1\n",
+ " ],\n",
+ " \"tdnn_dim\": [\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 1500\n",
+ " ],\n",
+ " \"tdnn_kernel\": [\n",
+ " 5,\n",
+ " 3,\n",
+ " 3,\n",
+ " 1,\n",
+ " 1\n",
+ " ],\n",
+ " \"torch_dtype\": \"float32\",\n",
+ " \"transformers_version\": \"4.16.0.dev0\",\n",
+ " \"use_weighted_layer_sum\": false,\n",
+ " \"vocab_size\": 32,\n",
+ " \"xvector_output_dim\": 512\n",
+ "}\n",
+ "\n",
+ "100%|█████████████████████████████████████████████| 1/1 [00:00<00:00, 1.44ba/s]\n",
+ "100%|█████████████████████████████████████████████| 1/1 [00:00<00:00, 7.07ba/s]\n",
+ "Didn't find file ./wav2vec2-large-xls-r-300m-welsh/tokenizer.json. We won't load it.\n",
+ "loading file ./wav2vec2-large-xls-r-300m-welsh/vocab.json\n",
+ "loading file ./wav2vec2-large-xls-r-300m-welsh/tokenizer_config.json\n",
+ "loading file ./wav2vec2-large-xls-r-300m-welsh/added_tokens.json\n",
+ "loading file ./wav2vec2-large-xls-r-300m-welsh/special_tokens_map.json\n",
+ "loading file None\n",
+ "Adding to the vocabulary\n",
+ "Adding to the vocabulary\n",
+ "loading configuration file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/config.json from cache at /workspace/.cache/huggingface/transformers/dabc27df63e37bd2a7a221c7774e35f36a280fbdf917cf54cadfc7df8c786f6f.a3e4c3c967d9985881e0ae550a5f6f668f897db5ab2e0802f9b97973b15970e6\n",
+ "Model config Wav2Vec2Config {\n",
+ " \"_name_or_path\": \"facebook/wav2vec2-xls-r-300m\",\n",
+ " \"activation_dropout\": 0.0,\n",
+ " \"adapter_kernel_size\": 3,\n",
+ " \"adapter_stride\": 2,\n",
+ " \"add_adapter\": false,\n",
+ " \"apply_spec_augment\": true,\n",
+ " \"architectures\": [\n",
+ " \"Wav2Vec2ForPreTraining\"\n",
+ " ],\n",
+ " \"attention_dropout\": 0.1,\n",
+ " \"bos_token_id\": 1,\n",
+ " \"classifier_proj_size\": 256,\n",
+ " \"codevector_dim\": 768,\n",
+ " \"contrastive_logits_temperature\": 0.1,\n",
+ " \"conv_bias\": true,\n",
+ " \"conv_dim\": [\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 512\n",
+ " ],\n",
+ " \"conv_kernel\": [\n",
+ " 10,\n",
+ " 3,\n",
+ " 3,\n",
+ " 3,\n",
+ " 3,\n",
+ " 2,\n",
+ " 2\n",
+ " ],\n",
+ " \"conv_stride\": [\n",
+ " 5,\n",
+ " 2,\n",
+ " 2,\n",
+ " 2,\n",
+ " 2,\n",
+ " 2,\n",
+ " 2\n",
+ " ],\n",
+ " \"ctc_loss_reduction\": \"sum\",\n",
+ " \"ctc_zero_infinity\": false,\n",
+ " \"diversity_loss_weight\": 0.1,\n",
+ " \"do_stable_layer_norm\": true,\n",
+ " \"eos_token_id\": 2,\n",
+ " \"feat_extract_activation\": \"gelu\",\n",
+ " \"feat_extract_dropout\": 0.0,\n",
+ " \"feat_extract_norm\": \"layer\",\n",
+ " \"feat_proj_dropout\": 0.1,\n",
+ " \"feat_quantizer_dropout\": 0.0,\n",
+ " \"final_dropout\": 0.0,\n",
+ " \"gradient_checkpointing\": false,\n",
+ " \"hidden_act\": \"gelu\",\n",
+ " \"hidden_dropout\": 0.1,\n",
+ " \"hidden_size\": 1024,\n",
+ " \"initializer_range\": 0.02,\n",
+ " \"intermediate_size\": 4096,\n",
+ " \"layer_norm_eps\": 1e-05,\n",
+ " \"layerdrop\": 0.1,\n",
+ " \"mask_feature_length\": 10,\n",
+ " \"mask_feature_min_masks\": 0,\n",
+ " \"mask_feature_prob\": 0.0,\n",
+ " \"mask_time_length\": 10,\n",
+ " \"mask_time_min_masks\": 2,\n",
+ " \"mask_time_prob\": 0.075,\n",
+ " \"model_type\": \"wav2vec2\",\n",
+ " \"num_adapter_layers\": 3,\n",
+ " \"num_attention_heads\": 16,\n",
+ " \"num_codevector_groups\": 2,\n",
+ " \"num_codevectors_per_group\": 320,\n",
+ " \"num_conv_pos_embedding_groups\": 16,\n",
+ " \"num_conv_pos_embeddings\": 128,\n",
+ " \"num_feat_extract_layers\": 7,\n",
+ " \"num_hidden_layers\": 24,\n",
+ " \"num_negatives\": 100,\n",
+ " \"output_hidden_size\": 1024,\n",
+ " \"pad_token_id\": 0,\n",
+ " \"proj_codevector_dim\": 768,\n",
+ " \"tdnn_dilation\": [\n",
+ " 1,\n",
+ " 2,\n",
+ " 3,\n",
+ " 1,\n",
+ " 1\n",
+ " ],\n",
+ " \"tdnn_dim\": [\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 1500\n",
+ " ],\n",
+ " \"tdnn_kernel\": [\n",
+ " 5,\n",
+ " 3,\n",
+ " 3,\n",
+ " 1,\n",
+ " 1\n",
+ " ],\n",
+ " \"torch_dtype\": \"float32\",\n",
+ " \"transformers_version\": \"4.16.0.dev0\",\n",
+ " \"use_weighted_layer_sum\": false,\n",
+ " \"vocab_size\": 32,\n",
+ " \"xvector_output_dim\": 512\n",
+ "}\n",
+ "\n",
+ "loading feature extractor configuration file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/preprocessor_config.json from cache at /workspace/.cache/huggingface/transformers/6fb028b95b394059e7d3b367bbca2382b576c66aebe896f04d2cd34e1b575f5b.d4484dc1c81456a2461485e7168b04347a7b9a4e3b1ef3aba723323b33e12326\n",
+ "Feature extractor Wav2Vec2FeatureExtractor {\n",
+ " \"do_normalize\": true,\n",
+ " \"feature_extractor_type\": \"Wav2Vec2FeatureExtractor\",\n",
+ " \"feature_size\": 1,\n",
+ " \"padding_side\": \"right\",\n",
+ " \"padding_value\": 0,\n",
+ " \"return_attention_mask\": true,\n",
+ " \"sampling_rate\": 16000\n",
+ "}\n",
+ "\n",
+ "loading weights file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/pytorch_model.bin from cache at /workspace/.cache/huggingface/transformers/1e6a6507f3b689035cd4b247e2a37c154e27f39143f31357a49b4e38baeccc36.1edb32803799e27ed554eb7dd935f6745b1a0b17b0ea256442fe24db6eb546cd\n",
+ "Some weights of the model checkpoint at facebook/wav2vec2-xls-r-300m were not used when initializing Wav2Vec2ForCTC: ['project_q.weight', 'quantizer.weight_proj.weight', 'quantizer.codevectors', 'quantizer.weight_proj.bias', 'project_hid.bias', 'project_hid.weight', 'project_q.bias']\n",
+ "- This IS expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
+ "- This IS NOT expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
+ "Some weights of Wav2Vec2ForCTC were not initialized from the model checkpoint at facebook/wav2vec2-xls-r-300m and are newly initialized: ['lm_head.weight', 'lm_head.bias']\n",
+ "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n",
+ "preprocess datasets: 11695ex [02:01, 95.89ex/s] \n",
+ "preprocess datasets: 4850ex [00:51, 94.54ex/s] \n",
+ "100%|██████████████████████████████████████████| 12/12 [00:00<00:00, 734.68ba/s]\n",
+ "100%|████████████████████████████████████████████| 5/5 [00:00<00:00, 755.84ba/s]\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/preprocessor_config.json\n",
+ "tokenizer config file saved in ./wav2vec2-large-xls-r-300m-welsh/tokenizer_config.json\n",
+ "Special tokens file saved in ./wav2vec2-large-xls-r-300m-welsh/special_tokens_map.json\n",
+ "added tokens file saved in ./wav2vec2-large-xls-r-300m-welsh/added_tokens.json\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/config.json\n",
+ "loading feature extractor configuration file ./wav2vec2-large-xls-r-300m-welsh/preprocessor_config.json\n",
+ "loading configuration file ./wav2vec2-large-xls-r-300m-welsh/config.json\n",
+ "Model config Wav2Vec2Config {\n",
+ " \"_name_or_path\": \"./wav2vec2-large-xls-r-300m-welsh\",\n",
+ " \"activation_dropout\": 0.1,\n",
+ " \"adapter_kernel_size\": 3,\n",
+ " \"adapter_stride\": 2,\n",
+ " \"add_adapter\": false,\n",
+ " \"apply_spec_augment\": true,\n",
+ " \"architectures\": [\n",
+ " \"Wav2Vec2ForPreTraining\"\n",
+ " ],\n",
+ " \"attention_dropout\": 0.0,\n",
+ " \"bos_token_id\": 1,\n",
+ " \"classifier_proj_size\": 256,\n",
+ " \"codevector_dim\": 768,\n",
+ " \"contrastive_logits_temperature\": 0.1,\n",
+ " \"conv_bias\": true,\n",
+ " \"conv_dim\": [\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 512\n",
+ " ],\n",
+ " \"conv_kernel\": [\n",
+ " 10,\n",
+ " 3,\n",
+ " 3,\n",
+ " 3,\n",
+ " 3,\n",
+ " 2,\n",
+ " 2\n",
+ " ],\n",
+ " \"conv_stride\": [\n",
+ " 5,\n",
+ " 2,\n",
+ " 2,\n",
+ " 2,\n",
+ " 2,\n",
+ " 2,\n",
+ " 2\n",
+ " ],\n",
+ " \"ctc_loss_reduction\": \"mean\",\n",
+ " \"ctc_zero_infinity\": false,\n",
+ " \"diversity_loss_weight\": 0.1,\n",
+ " \"do_stable_layer_norm\": true,\n",
+ " \"eos_token_id\": 2,\n",
+ " \"feat_extract_activation\": \"gelu\",\n",
+ " \"feat_extract_dropout\": 0.0,\n",
+ " \"feat_extract_norm\": \"layer\",\n",
+ " \"feat_proj_dropout\": 0.0,\n",
+ " \"feat_quantizer_dropout\": 0.0,\n",
+ " \"final_dropout\": 0.0,\n",
+ " \"hidden_act\": \"gelu\",\n",
+ " \"hidden_dropout\": 0.0,\n",
+ " \"hidden_size\": 1024,\n",
+ " \"initializer_range\": 0.02,\n",
+ " \"intermediate_size\": 4096,\n",
+ " \"layer_norm_eps\": 1e-05,\n",
+ " \"layerdrop\": 0.0,\n",
+ " \"mask_feature_length\": 64,\n",
+ " \"mask_feature_min_masks\": 0,\n",
+ " \"mask_feature_prob\": 0.25,\n",
+ " \"mask_time_length\": 10,\n",
+ " \"mask_time_min_masks\": 2,\n",
+ " \"mask_time_prob\": 0.75,\n",
+ " \"model_type\": \"wav2vec2\",\n",
+ " \"num_adapter_layers\": 3,\n",
+ " \"num_attention_heads\": 16,\n",
+ " \"num_codevector_groups\": 2,\n",
+ " \"num_codevectors_per_group\": 320,\n",
+ " \"num_conv_pos_embedding_groups\": 16,\n",
+ " \"num_conv_pos_embeddings\": 128,\n",
+ " \"num_feat_extract_layers\": 7,\n",
+ " \"num_hidden_layers\": 24,\n",
+ " \"num_negatives\": 100,\n",
+ " \"output_hidden_size\": 1024,\n",
+ " \"pad_token_id\": 46,\n",
+ " \"proj_codevector_dim\": 768,\n",
+ " \"tdnn_dilation\": [\n",
+ " 1,\n",
+ " 2,\n",
+ " 3,\n",
+ " 1,\n",
+ " 1\n",
+ " ],\n",
+ " \"tdnn_dim\": [\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 512,\n",
+ " 1500\n",
+ " ],\n",
+ " \"tdnn_kernel\": [\n",
+ " 5,\n",
+ " 3,\n",
+ " 3,\n",
+ " 1,\n",
+ " 1\n",
+ " ],\n",
+ " \"torch_dtype\": \"float32\",\n",
+ " \"transformers_version\": \"4.16.0.dev0\",\n",
+ " \"use_weighted_layer_sum\": false,\n",
+ " \"vocab_size\": 49,\n",
+ " \"xvector_output_dim\": 512\n",
+ "}\n",
+ "\n",
+ "loading feature extractor configuration file ./wav2vec2-large-xls-r-300m-welsh/preprocessor_config.json\n",
+ "Feature extractor Wav2Vec2FeatureExtractor {\n",
+ " \"do_normalize\": true,\n",
+ " \"feature_extractor_type\": \"Wav2Vec2FeatureExtractor\",\n",
+ " \"feature_size\": 1,\n",
+ " \"padding_side\": \"right\",\n",
+ " \"padding_value\": 0,\n",
+ " \"return_attention_mask\": true,\n",
+ " \"sampling_rate\": 16000\n",
+ "}\n",
+ "\n",
+ "Didn't find file ./wav2vec2-large-xls-r-300m-welsh/tokenizer.json. We won't load it.\n",
+ "loading file ./wav2vec2-large-xls-r-300m-welsh/vocab.json\n",
+ "loading file ./wav2vec2-large-xls-r-300m-welsh/tokenizer_config.json\n",
+ "loading file ./wav2vec2-large-xls-r-300m-welsh/added_tokens.json\n",
+ "loading file ./wav2vec2-large-xls-r-300m-welsh/special_tokens_map.json\n",
+ "loading file None\n",
+ "Adding to the vocabulary\n",
+ "Adding to the vocabulary\n",
+ "/workspace/votic_training/./wav2vec2-large-xls-r-300m-welsh is already a clone of https://huggingface.co/infinitejoy/wav2vec2-large-xls-r-300m-welsh. Make sure you pull the latest changes with `repo.git_pull()`.\n",
+ "Using amp half precision backend\n",
+ "The following columns in the training set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n",
+ "/opt/conda/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use thePyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n",
+ " warnings.warn(\n",
+ "***** Running training *****\n",
+ " Num examples = 11695\n",
+ " Num Epochs = 50\n",
+ " Instantaneous batch size per device = 32\n",
+ " Total train batch size (w. parallel, distributed & accumulation) = 32\n",
+ " Gradient Accumulation steps = 1\n",
+ " Total optimization steps = 18300\n",
+ " 16%|█████▌ | 3000/18300 [1:26:46<7:41:42, 1.81s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n",
+ "***** Running Evaluation *****\n",
+ " Num examples = 4850\n",
+ " Batch size = 16\n",
+ "\n",
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+ " \u001b[A\n",
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+ " \u001b[ASaving model checkpoint to ./wav2vec2-large-xls-r-300m-welsh/checkpoint-3000\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-3000/config.json\n",
+ "Model weights saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-3000/pytorch_model.bin\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-3000/preprocessor_config.json\n",
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+ " 33%|███████████▏ | 6000/18300 [2:56:49<4:21:49, 1.28s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n",
+ "***** Running Evaluation *****\n",
+ " Num examples = 4850\n",
+ " Batch size = 16\n",
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+ " \u001b[A\n",
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+ " \u001b[ASaving model checkpoint to ./wav2vec2-large-xls-r-300m-welsh/checkpoint-6000\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-6000/config.json\n",
+ "Model weights saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-6000/pytorch_model.bin\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-6000/preprocessor_config.json\n",
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+ " 49%|████████████████▋ | 9000/18300 [4:27:49<5:02:35, 1.95s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n",
+ "***** Running Evaluation *****\n",
+ " Num examples = 4850\n",
+ " Batch size = 16\n",
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+ " \u001b[A\n",
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+ " \u001b[ASaving model checkpoint to ./wav2vec2-large-xls-r-300m-welsh/checkpoint-9000\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-9000/config.json\n",
+ "Model weights saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-9000/pytorch_model.bin\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-9000/preprocessor_config.json\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/preprocessor_config.json\n",
+ "Deleting older checkpoint [wav2vec2-large-xls-r-300m-welsh/checkpoint-3000] due to args.save_total_limit\n",
+ " 66%|█████████████████████▋ | 12000/18300 [5:58:16<2:28:16, 1.41s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n",
+ "***** Running Evaluation *****\n",
+ " Num examples = 4850\n",
+ " Batch size = 16\n",
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+ " \u001b[A\n",
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+ " \u001b[ASaving model checkpoint to ./wav2vec2-large-xls-r-300m-welsh/checkpoint-12000\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-12000/config.json\n",
+ "Model weights saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-12000/pytorch_model.bin\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-12000/preprocessor_config.json\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/preprocessor_config.json\n",
+ "Deleting older checkpoint [wav2vec2-large-xls-r-300m-welsh/checkpoint-6000] due to args.save_total_limit\n",
+ " 82%|███████████████████████████ | 15000/18300 [7:28:37<1:33:31, 1.70s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n",
+ "***** Running Evaluation *****\n",
+ " Num examples = 4850\n",
+ " Batch size = 16\n",
+ "\n",
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+ " \u001b[A\n",
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+ " \u001b[ASaving model checkpoint to ./wav2vec2-large-xls-r-300m-welsh/checkpoint-15000\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-15000/config.json\n",
+ "Model weights saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-15000/pytorch_model.bin\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-15000/preprocessor_config.json\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/preprocessor_config.json\n",
+ "Deleting older checkpoint [wav2vec2-large-xls-r-300m-welsh/checkpoint-9000] due to args.save_total_limit\n",
+ " 98%|██████████████████████████████████▍| 18000/18300 [8:58:41<10:03, 2.01s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n",
+ "***** Running Evaluation *****\n",
+ " Num examples = 4850\n",
+ " Batch size = 16\n",
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+ "100%|████████████████████████████████████████▊| 303/304 [03:24<00:00, 1.28it/s]\u001b[A\n",
+ " \u001b[A\n",
+ " 98%|██████████████████████████████████▍| 18000/18300 [9:02:10<10:03, 2.01s/it]\n",
+ "100%|█████████████████████████████████████████| 304/304 [03:28<00:00, 1.72it/s]\u001b[A\n",
+ " \u001b[ASaving model checkpoint to ./wav2vec2-large-xls-r-300m-welsh/checkpoint-18000\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-18000/config.json\n",
+ "Model weights saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-18000/pytorch_model.bin\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/checkpoint-18000/preprocessor_config.json\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/preprocessor_config.json\n",
+ "Deleting older checkpoint [wav2vec2-large-xls-r-300m-welsh/checkpoint-12000] due to args.save_total_limit\n",
+ "100%|███████████████████████████████████| 18300/18300 [9:11:56<00:00, 1.07s/it]\n",
+ "\n",
+ "Training completed. Do not forget to share your model on huggingface.co/models =)\n",
+ "\n",
+ "\n",
+ "100%|███████████████████████████████████| 18300/18300 [9:11:56<00:00, 1.81s/it]\n",
+ "Saving model checkpoint to ./wav2vec2-large-xls-r-300m-welsh\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/config.json\n",
+ "Model weights saved in ./wav2vec2-large-xls-r-300m-welsh/pytorch_model.bin\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/preprocessor_config.json\n",
+ "The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.\n",
+ "***** Running Evaluation *****\n",
+ " Num examples = 4850\n",
+ " Batch size = 16\n",
+ "100%|█████████████████████████████████████████| 304/304 [03:28<00:00, 1.46it/s]\n",
+ "Saving model checkpoint to ./wav2vec2-large-xls-r-300m-welsh\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/config.json\n",
+ "Model weights saved in ./wav2vec2-large-xls-r-300m-welsh/pytorch_model.bin\n",
+ "Configuration saved in ./wav2vec2-large-xls-r-300m-welsh/preprocessor_config.json\n",
+ "Upload file pytorch_model.bin: 98%|██████▊| 1.15G/1.18G [01:08<00:00, 30.3MB/s]To https://huggingface.co/infinitejoy/wav2vec2-large-xls-r-300m-welsh\n",
+ " 5f29eeb..079b1fd main -> main\n",
+ "\n",
+ "Upload file pytorch_model.bin: 100%|███████| 1.18G/1.18G [01:09<00:00, 18.1MB/s]\n",
+ "Dropping the following result as it does not have all the necessary fields:\n",
+ "{'dataset': {'name': 'MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - CY', 'type': 'common_voice', 'args': 'Config: cy, Training split: train+validation, Eval split: test'}}\n",
+ "To https://huggingface.co/infinitejoy/wav2vec2-large-xls-r-300m-welsh\n",
+ " 079b1fd..22e577c main -> main\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "!python run_speech_recognition_ctc.py \\\n",
+ "\t--dataset_name=\"mozilla-foundation/common_voice_7_0\" \\\n",
+ "\t--model_name_or_path=\"facebook/wav2vec2-xls-r-300m\" \\\n",
+ "\t--dataset_config_name=\"cy\" \\\n",
+ "\t--output_dir=\"./wav2vec2-large-xls-r-300m-welsh\" \\\n",
+ "\t--overwrite_output_dir \\\n",
+ "\t--num_train_epochs=\"50\" \\\n",
+ "\t--per_device_train_batch_size=\"32\" \\\n",
+ "\t--per_device_eval_batch_size=\"16\" \\\n",
+ "\t--gradient_accumulation_steps=\"1\" \\\n",
+ "\t--learning_rate=\"7e-5\" \\\n",
+ "\t--warmup_steps=\"3000\" \\\n",
+ "\t--length_column_name=\"input_length\" \\\n",
+ "\t--evaluation_strategy=\"steps\" \\\n",
+ "\t--text_column_name=\"sentence\" \\\n",
+ "\t--chars_to_ignore , ? . ! \\- \\; \\: \\\" “ % ‘ ” � — ’ … – \\' \\\n",
+ "\t--save_steps=\"3000\" \\\n",
+ "\t--eval_steps=\"3000\" \\\n",
+ "\t--logging_steps=\"100\" \\\n",
+ "\t--layerdrop=\"0.0\" \\\n",
+ "\t--activation_dropout=\"0.1\" \\\n",
+ "\t--save_total_limit=\"2\" \\\n",
+ "\t--freeze_feature_encoder \\\n",
+ "\t--feat_proj_dropout=\"0.0\" \\\n",
+ "\t--mask_time_prob=\"0.75\" \\\n",
+ "\t--mask_time_length=\"10\" \\\n",
+ "\t--mask_feature_prob=\"0.25\" \\\n",
+ "\t--mask_feature_length=\"64\" \\\n",
+ "\t--gradient_checkpointing \\\n",
+ "\t--use_auth_token \\\n",
+ "\t--fp16 \\\n",
+ "\t--group_by_length \\\n",
+ "\t--do_train --do_eval \\\n",
+ " --push_to_hub > out.log"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "0zBb4QMVcSeV"
+ },
+ "outputs": [],
+ "source": [
+ "# !rm -rf wav2vec2-large-xls-r-300m-bashkir"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "jxvhTTQ2cSeV"
+ },
+ "outputs": [],
+ "source": [
+ "!ls -ltr"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "okCO9-XTcSeV",
+ "outputId": "a47bb25e-904a-4c1e-8871-d996a16b6bcc"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Filesystem Size Used Avail Use% Mounted on\n",
+ "overlay 3.5T 1.2T 2.2T 34% /\n",
+ "tmpfs 64M 0 64M 0% /dev\n",
+ "tmpfs 87G 0 87G 0% /sys/fs/cgroup\n",
+ "tmpfs 87G 0 87G 0% /dev/shm\n",
+ "/dev/md0 3.5T 1.2T 2.2T 34% /etc/group\n",
+ "tmpfs 87G 12K 87G 1% /proc/driver/nvidia\n",
+ "/dev/vda1 49G 6.5G 42G 14% /usr/bin/nvidia-smi\n",
+ "udev 87G 0 87G 0% /dev/nvidia0\n",
+ "tmpfs 87G 0 87G 0% /proc/acpi\n",
+ "tmpfs 87G 0 87G 0% /proc/scsi\n",
+ "tmpfs 87G 0 87G 0% /sys/firmware\n"
+ ]
+ }
+ ],
+ "source": [
+ "!df -h"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "axSDvjOMdkxW"
+ },
+ "outputs": [],
+ "source": [
+ "# !pip install -U datasets"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 238,
+ "referenced_widgets": [
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+ "49f46100f43346d2bdb402e2fd1a1951",
+ "5e2e7ad6aa8f4f51adf7f6376b84f618",
+ "2e918f153be0489dbf0ad64bc45c563c",
+ "c319fa946f3e4380864aed6d3fbb77e7"
+ ]
+ },
+ "id": "82uZWUF_cSeW",
+ "outputId": "e78215f2-d452-4d92-a94c-0a469f8760d4"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Downloading and preparing dataset common_voice/cy to /workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/cy/7.0.0/fe20cac47c166e25b1f096ab661832e3da7cf298ed4a91dcaa1343ad972d175b...\n"
+ ]
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "0 examples [00:00, ? examples/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "0 examples [00:00, ? examples/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "0 examples [00:00, ? examples/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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+ "version_minor": 0
+ },
+ "text/plain": [
+ "0 examples [00:00, ? examples/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "0 examples [00:00, ? examples/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Dataset common_voice downloaded and prepared to /workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/cy/7.0.0/fe20cac47c166e25b1f096ab661832e3da7cf298ed4a91dcaa1343ad972d175b. Subsequent calls will reuse this data.\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "Reusing dataset common_voice (/workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/cy/7.0.0/fe20cac47c166e25b1f096ab661832e3da7cf298ed4a91dcaa1343ad972d175b)\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "11695\n"
+ ]
+ }
+ ],
+ "source": [
+ "from datasets import load_dataset, load_metric, Audio\n",
+ "\n",
+ "common_voice_train = load_dataset(\"mozilla-foundation/common_voice_7_0\", \"cy\", use_auth_token=True, split=\"train+validation\")\n",
+ "common_voice_test = load_dataset(\"mozilla-foundation/common_voice_7_0\", \"cy\", use_auth_token=True, split=\"test\")\n",
+ "\n",
+ "print(len(common_voice_train))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "1Qa9wKa4cSeW",
+ "outputId": "da721286-89ac-421c-a269-e779449488c6"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Dataset({\n",
+ " features: ['client_id', 'path', 'audio', 'sentence', 'up_votes', 'down_votes', 'age', 'gender', 'accent', 'locale', 'segment'],\n",
+ " num_rows: 11695\n",
+ "})"
+ ]
+ },
+ "execution_count": 2,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "common_voice_train"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "H_KRIMbEcSeX",
+ "outputId": "90601843-d465-4cd3-dff0-9d2302e02699"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "18273.4375"
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(common_voice_train) * 50 / 32"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {
+ "id": "ZUc_UAMbcSeX"
+ },
+ "outputs": [],
+ "source": [
+ "common_voice_train = common_voice_train.remove_columns([\"accent\", \"age\", \"client_id\", \"down_votes\", \"gender\", \"locale\", \"segment\", \"up_votes\"])\n",
+ "common_voice_test = common_voice_test.remove_columns([\"accent\", \"age\", \"client_id\", \"down_votes\", \"gender\", \"locale\", \"segment\", \"up_votes\"])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {
+ "id": "OKxWKzjMcSeX"
+ },
+ "outputs": [],
+ "source": [
+ "from datasets import ClassLabel\n",
+ "import random\n",
+ "import pandas as pd\n",
+ "from IPython.display import display, HTML\n",
+ "\n",
+ "def show_random_elements(dataset, num_examples=10):\n",
+ " assert num_examples <= len(dataset), \"Can't pick more elements than there are in the dataset.\"\n",
+ " picks = []\n",
+ " for _ in range(num_examples):\n",
+ " pick = random.randint(0, len(dataset)-1)\n",
+ " while pick in picks:\n",
+ " pick = random.randint(0, len(dataset)-1)\n",
+ " picks.append(pick)\n",
+ " \n",
+ " df = pd.DataFrame(dataset[picks])\n",
+ " display(HTML(df.to_html()))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 363
+ },
+ "id": "uR3e--0AcSeY",
+ "outputId": "efb84606-2717-4040-ca02-86975a2f4824"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n", + " | sentence | \n", + "
---|---|
0 | \n", + "Fel arfer ceir dau, ac maent yn gweithio fel pâr. | \n", + "
1 | \n", + "Prif fwyd y siani flewog ydy coed masarn. | \n", + "
2 | \n", + "Casgliad o deithiau cerdded o gwmpas Henffordd. | \n", + "
3 | \n", + "\"Yr ymennydd yw canolfan reoli'r corff cyfan.\" | \n", + "
4 | \n", + "Edrychai ar yr aderyn bach gyda'i wasgod sgarlad fel petai'n falch ohono. | \n", + "
5 | \n", + "\"Hoffwn wneud rhywbeth sydd yn lleihau'r niwed i'r amgylchedd\" | \n", + "
6 | \n", + "Dydyn nhw eu hunain ddim yn gwybod be maen nhw'n neud. | \n", + "
7 | \n", + "\"Mae'n gallu siarad, chwythu tân a gwireddu dymuniadau pobl.\" | \n", + "
8 | \n", + "Roedd y rhan fwyaf o'r dynion yn labro ar y ffermydd o gwmpas. | \n", + "
9 | \n", + "Ef hefyd a gasglodd ynghyd ei barddoniaeth, mewn sawl cyfrol. | \n", + "