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null, + "align_content": null, + "visibility": null, + "align_self": null, + "height": null, + "min_height": null, + "padding": null, + "grid_auto_rows": null, + "grid_gap": null, + "max_width": null, + "order": null, + "_view_module_version": "1.2.0", + "grid_template_areas": null, + "object_position": null, + "object_fit": null, + "grid_auto_columns": null, + "margin": null, + "display": null, + "left": null + } + } + } + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "code", + "source": [ + "!nvidia-smi" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "M2b-7B0PjEvG", + "outputId": "c77d3c33-a63c-43e5-fde2-101af13cdac6" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Fri Jan 21 05:56:32 2022 \n", + "+-----------------------------------------------------------------------------+\n", + "| NVIDIA-SMI 495.46 Driver Version: 460.32.03 CUDA Version: 11.2 |\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 P100-PCIE... Off | 00000000:00:04.0 Off | 0 |\n", + "| N/A 35C P0 26W / 250W | 0MiB / 16280MiB | 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" + ] + } + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "YZXTLpRzg8gp" + }, + "outputs": [], + "source": [ + "%%capture\n", + "!pip install datasets\n", + "!pip install transformers\n", + "!pip install huggingface_hub\n", + "!pip install torchaudio\n", + "!pip install librosa\n", + "!pip install jiwer" + ] + }, + { + "cell_type": "code", + "source": [ + "!apt install git-lfs" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "k6Ao2XfngKmI", + "outputId": "25e24d57-5818-4850-85dd-a6b9c91bcd1e" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Reading package lists... Done\n", + "Building dependency tree \n", + "Reading state information... Done\n", + "The following NEW packages will be installed:\n", + " git-lfs\n", + "0 upgraded, 1 newly installed, 0 to remove and 37 not upgraded.\n", + "Need to get 2,129 kB of archives.\n", + "After this operation, 7,662 kB of additional disk space will be used.\n", + "Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 git-lfs amd64 2.3.4-1 [2,129 kB]\n", + "Fetched 2,129 kB in 1s (1,669 kB/s)\n", + "Selecting previously unselected package git-lfs.\n", + "(Reading database ... 155229 files and directories currently installed.)\n", + "Preparing to unpack .../git-lfs_2.3.4-1_amd64.deb ...\n", + "Unpacking git-lfs (2.3.4-1) ...\n", + "Setting up git-lfs (2.3.4-1) ...\n", + "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from huggingface_hub import notebook_login\n", + "\n", + "notebook_login()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 415, + "referenced_widgets": [ + "21aca65c133040c2856f187fe640763b", + "6b943f96e09b41468710919f47af8e4b", + "70305cdcc0df40fe859f0a58dcb1d5e7", + "93e74b19f00a46e2a57e818858a324b0", + "f92042aafc9c46eb8a873fdacddec5dd", + "b8a7119fe079466698f8f36d0def7adb", + "9f2a4d6126b44098b8d32245650d42d4", + "c71f0a59cad245afa24064974596fad1", + "a04185b2fe324aee8cc5daf5c71ebf7a", + "ca54e3e9d8ff4d22982c2f3b65718328", + "f9155fdfcdaa4f8794af0f21643ee5e1", + "c31a4614514448a48eb3d8af9b4a2bb3", + "bf1c397ab5934920a73d22965309c3e5", + "937b29e1b1044c2e836db961affe18ef", + "cd79f8fda0074f07bb65c3f9c5ec5910", + "642d087b63aa45c5a66c147bef16b23c", + "5bf3b34592464d5da47643c85382f160" + ] + }, + "id": "1CCVxM2-hLbE", + "outputId": "cf91d49d-ec85-414a-a616-cbf3707c74d2" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Login successful\n", + "Your token has been saved to /root/.huggingface/token\n", + "\u001b[1m\u001b[31mAuthenticated through git-credential store but this isn't the helper defined on your machine.\n", + "You might have to re-authenticate when pushing to the Hugging Face Hub. Run the following command in your terminal in case you want to set this credential helper as the default\n", + "\n", + "git config --global credential.helper store\u001b[0m\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from datasets import load_dataset, load_metric, Audio, concatenate_datasets" + ], + "metadata": { + "id": "HP3z-kMqhW49" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "common_voice_train = load_dataset(\"mozilla-foundation/common_voice_7_0\", \"as\", split=\"train+validation\", use_auth_token=True)\n", + "common_voice_test = load_dataset(\"mozilla-foundation/common_voice_7_0\", \"as\", split=\"test\", use_auth_token=True)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 377, + "referenced_widgets": [ + "7c2d0d747a7f45b4bfb9faf9dabfed22", + "4388f53476864eaa844de45078df97f5", + "6abaaa2e7d4944288a197692c6f231b4", + "33004f85239342fd8c939cd4bc05214a", + 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"8f501559fd994e65bb93a588d34f80dc", + "c336189d896e419895d3c4666b11eeef", + "be4f4d10cf174e8697e493aa57eea6cd", + "5c9af6cd81c0419e9505b9c8fcdf63d2", + "5126b04be5354dadbb73dded813715a6", + "292bd6caed0648259b3d348256a91c18", + "676fedef8e1d4497b4419749ffeaffb8", + "d92413b401c74d02bd7563d418141154", + "de559265846f4df09f556e5604b4140d", + "71ffcc77e2d2488797dce6ccd5dd6e38", + "adb684b0c81a440bbc33bb37ac4ad455", + "df3b120419124fa29219974af5779a2a", + "9ea0758b6de4496ca24d625a11ebd245", + "14fe58435c454d7f9c853dca9b0adaed", + "eaeced56cfa041bd85dfd8f8f96d0f4f", + "7a02ae432ca9408291514a389ea9cbcd", + "f4f0705f12cb472288857634e2ca411e" + ] + }, + "id": "hnwqYEFnhji5", + "outputId": "37ab3614-1be2-4687-d19b-2bbd4661a7cd" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7c2d0d747a7f45b4bfb9faf9dabfed22", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "Downloading: 0%| | 0.00/9.79k [00:00 main\n", + "\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + }, + "text/plain": [ + "'https://huggingface.co/anuragshas/wav2vec2-large-xls-r-300m-as/commit/46fe0a4ed7ef2244e91dfee3a9153f0ce7c7da47'" + ] + }, + "metadata": {}, + "execution_count": 19 + } + ] + }, + { + "cell_type": "code", + "source": [ + "from transformers import Wav2Vec2FeatureExtractor\n", + "\n", + "feature_extractor = Wav2Vec2FeatureExtractor(feature_size=1, sampling_rate=16000, padding_value=0.0, do_normalize=True, return_attention_mask=True)" + ], + "metadata": { + "id": "1RseFfmleI3H" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from transformers import Wav2Vec2Processor\n", + "\n", + "processor = Wav2Vec2Processor(feature_extractor=feature_extractor, tokenizer=tokenizer)" + ], + "metadata": { + "id": "NGDrT6saeOqy" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "common_voice_train = common_voice_train.cast_column(\"audio\", Audio(sampling_rate=16_000))\n", + "common_voice_test = common_voice_test.cast_column(\"audio\", Audio(sampling_rate=16_000))" + ], + "metadata": { + "id": "nOpdod1weRfa" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "def prepare_dataset(batch):\n", + " audio = batch[\"audio\"]\n", + "\n", + " # batched output is \"un-batched\"\n", + " batch[\"input_values\"] = processor(audio[\"array\"], sampling_rate=audio[\"sampling_rate\"]).input_values[0]\n", + " batch[\"input_length\"] = len(batch[\"input_values\"])\n", + " \n", + " with processor.as_target_processor():\n", + " batch[\"labels\"] = processor(batch[\"sentence\"]).input_ids\n", + " return batch" + ], + "metadata": { + "id": "KimgJI22eVYa" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "common_voice_train = common_voice_train.map(prepare_dataset, remove_columns=common_voice_train.column_names)\n", + "common_voice_test = common_voice_test.map(prepare_dataset, remove_columns=common_voice_test.column_names)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "b7d43dfcf210417187184f0d42b34167", + "51f4c100f25e4981ad248b61b45bede2", + "b6132ef7565e45088a8c460e0d45e963", + "07d39e51cd88427eb95d95b12b9aa8a1", + "ecf4f5d08bd34878a73a9d860215ce80", + "48650f0ffffa48e99e7daed7c94a74f7", + "517e4cd235064167bb6ac0fb8c6cdc9b", + "d1da30c22c35442b935e05f4956dc24e", + "bae5f175cfad4939aaec8c80d2a0ac25", + "05adce0052d84212bc3131c4ed7e0bfd", + "5e383d63ef1b4b7cb91a2956687e17d2", + "aa593380281b405eab58917dad8ede17", + "8cad75d42e1246ada295d6fab320620a", + "5fa59687b8ef46cf80d81a24b42dbbe2", + "e67e54e01c1a48ddbdbd2c150d66ce35", + "ebdd55db394e48aa8de21d1577649993", + "f88950b5facf44fdb2b3d7e82eb5d13a", + "ae60e6cd26d441248414fcfab83a9868", + "8c481f3cc9b6453c898925286dc3f78c", + "86e8c7008cea4631b6b488ee86673571", + "ffbe4546179a41cfab27860b51d12c30", + "abdb7d1cba714b90b68640316bb64d0b" + ] + }, + "id": "Uxt4G7XweZxf", + "outputId": "dc00290c-26ce-4d2d-f45a-2b8ce96b64d3" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b7d43dfcf210417187184f0d42b34167", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + " 0%| | 0/624 [00:00 Dict[str, torch.Tensor]:\n", + " # split inputs and labels since they have to be of different lenghts and need\n", + " # different padding methods\n", + " input_features = [{\"input_values\": feature[\"input_values\"]} for feature in features]\n", + " label_features = [{\"input_ids\": feature[\"labels\"]} for feature in features]\n", + "\n", + " batch = self.processor.pad(\n", + " input_features,\n", + " padding=self.padding,\n", + " return_tensors=\"pt\",\n", + " )\n", + " with self.processor.as_target_processor():\n", + " labels_batch = self.processor.pad(\n", + " label_features,\n", + " padding=self.padding,\n", + " return_tensors=\"pt\",\n", + " )\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", + " batch[\"labels\"] = labels\n", + "\n", + " return batch" + ], + "metadata": { + "id": "k1hUL21-ecSE" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "data_collator = DataCollatorCTCWithPadding(processor=processor, padding=True)" + ], + "metadata": { + "id": "3WErNElzezOc" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "wer_metric = load_metric(\"wer\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 49, + "referenced_widgets": [ + "4e57d172ec1744dd92ec9db65e19cd8b", + "de60c992211448dfa5e2d1d793cf020e", + "7ce662a81a164e168d62baad50fb6dea", + "48eafe794e374930b259c304fc70277e", + "6ae8afa755244a4ba7e0dba849813dfb", + "520354763bd2412dabf440cf37cff4fd", + "caf93c6dbcc14eafa8572a1a132b1f59", + "5255d8f8d60348de8aba3fc5a3bac1a4", + "73f643efc2034dd1982ee0f3265c03a5", + "ce34e2c2c25840d782d35ba411dbfa40", + "4d1d3d8dbaa14d99834be53d96f50dfa" + ] + }, + "id": "tHAXlHO1ez7Z", + "outputId": "c213f39c-fad8-4bfe-f062-136f0956cdf3" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4e57d172ec1744dd92ec9db65e19cd8b", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "Downloading: 0%| | 0.00/1.91k [00:00\n", + " \n", + " \n", + " [4560/4560 5:57:58, Epoch 239/240]\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", 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StepTraining LossValidation LossWer
4005.7027003.4156651.000000
8001.1638001.3497870.746089
12000.2266001.6147380.727313
16000.1473001.6649120.710773
20000.1043001.7690630.708985
24000.0779001.8300360.700939
28000.0613001.8680720.691551
32000.0471001.8567120.687528
36000.0343001.9053920.683952
40000.0265001.9019890.678587
44000.0219001.9067810.667859

" + ], + "text/plain": [ + "" + ] + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "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 = 281\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-as/checkpoint-400\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-400/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-as/checkpoint-400/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-400/preprocessor_config.json\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/preprocessor_config.json\n", + "/usr/local/lib/python3.7/dist-packages/transformers/models/wav2vec2/modeling_wav2vec2.py:1093: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n", + " return (input_length - kernel_size) // stride + 1\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 = 281\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-as/checkpoint-800\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-800/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-as/checkpoint-800/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-800/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-as/checkpoint-400] due to args.save_total_limit\n", + "/usr/local/lib/python3.7/dist-packages/transformers/models/wav2vec2/modeling_wav2vec2.py:1093: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n", + " return (input_length - kernel_size) // stride + 1\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 = 281\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-as/checkpoint-1200\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-1200/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-as/checkpoint-1200/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-1200/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-as/checkpoint-800] due to args.save_total_limit\n", + "/usr/local/lib/python3.7/dist-packages/transformers/models/wav2vec2/modeling_wav2vec2.py:1093: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n", + " return (input_length - kernel_size) // stride + 1\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 = 281\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-as/checkpoint-1600\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-1600/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-as/checkpoint-1600/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-1600/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-as/checkpoint-1200] due to args.save_total_limit\n", + "/usr/local/lib/python3.7/dist-packages/transformers/models/wav2vec2/modeling_wav2vec2.py:1093: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n", + " return (input_length - kernel_size) // stride + 1\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 = 281\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-as/checkpoint-2000\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-2000/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-as/checkpoint-2000/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-2000/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-as/checkpoint-1600] due to args.save_total_limit\n", + "/usr/local/lib/python3.7/dist-packages/transformers/models/wav2vec2/modeling_wav2vec2.py:1093: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n", + " return (input_length - kernel_size) // stride + 1\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 = 281\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-as/checkpoint-2400\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-2400/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-as/checkpoint-2400/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-2400/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-as/checkpoint-2000] due to args.save_total_limit\n", + "/usr/local/lib/python3.7/dist-packages/transformers/models/wav2vec2/modeling_wav2vec2.py:1093: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n", + " return (input_length - kernel_size) // stride + 1\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 = 281\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-as/checkpoint-2800\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-2800/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-as/checkpoint-2800/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-2800/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-as/checkpoint-2400] due to args.save_total_limit\n", + "/usr/local/lib/python3.7/dist-packages/transformers/models/wav2vec2/modeling_wav2vec2.py:1093: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n", + " return (input_length - kernel_size) // stride + 1\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 = 281\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-as/checkpoint-3200\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-3200/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-as/checkpoint-3200/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-3200/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-as/checkpoint-2800] due to args.save_total_limit\n", + "/usr/local/lib/python3.7/dist-packages/transformers/models/wav2vec2/modeling_wav2vec2.py:1093: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n", + " return (input_length - kernel_size) // stride + 1\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 = 281\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-as/checkpoint-3600\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-3600/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-as/checkpoint-3600/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-3600/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-as/checkpoint-3200] due to args.save_total_limit\n", + "/usr/local/lib/python3.7/dist-packages/transformers/models/wav2vec2/modeling_wav2vec2.py:1093: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n", + " return (input_length - kernel_size) // stride + 1\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 = 281\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-as/checkpoint-4000\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-4000/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-as/checkpoint-4000/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-4000/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-as/checkpoint-3600] due to args.save_total_limit\n", + "/usr/local/lib/python3.7/dist-packages/transformers/models/wav2vec2/modeling_wav2vec2.py:1093: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n", + " return (input_length - kernel_size) // stride + 1\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 = 281\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-as/checkpoint-4400\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-4400/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-as/checkpoint-4400/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/checkpoint-4400/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-as/checkpoint-4000] due to args.save_total_limit\n", + "/usr/local/lib/python3.7/dist-packages/transformers/models/wav2vec2/modeling_wav2vec2.py:1093: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n", + " return (input_length - kernel_size) // stride + 1\n", + "\n", + "\n", + "Training completed. Do not forget to share your model on huggingface.co/models =)\n", + "\n", + "\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "TrainOutput(global_step=4560, training_loss=0.668572286451072, metrics={'train_runtime': 21486.0103, 'train_samples_per_second': 6.97, 'train_steps_per_second': 0.212, 'total_flos': 2.2650880010566533e+19, 'train_loss': 0.668572286451072, 'epoch': 239.97})" + ] + }, + "metadata": {}, + "execution_count": 34 + } + ] + }, + { + "cell_type": "code", + "source": [ + "trainer.push_to_hub()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 370, + "referenced_widgets": [ + "7bb658e851f14ba8b34c287a03ce2aad", + "734596d5acbc44e0a3bbd1cf92d7b7ee", + "c854c2e9aab044d5b2018742ed9e591c", + "723e635a06d346cb857bc7e04a015dca", + "510e24835e794bcb8876f482ed43d281", + "686d25fccca94e04b7beaff7686c5e0b", + "013198b21fdd46c5b427b012e5480f12", + "2249f8dafe31446688f6b486c8c3cdc0", + "efd77c3dec8548ea9d6a47a2ced6016e", + "49ba3fb70e3d40cbbb3349c1202298e5", + "c3fff53a90d44236b9b5ddcc44d1ca2c", + "0ff572a0c3a0463dadc46ee97e1ac546", + "4015034b0fe84516a900073b6e612096", + "32f1d153753a49f8b5c1003910c998ce", + "32a812df48524cf1b1724513f2445aa1", + "2f80a8b66c384572a1b08b8bd81cef85", + "94352f05dbdd44298046f92b6edadede", + "3fe3f8a724f9480596d7c5c0d05c008d", + "bc6378868a194e6989548b3d4f8decbf", + "321c6979d8b54a3aab07e2b7b40779ae", + "cccb9f89f25043f2a305120ce4000eac", + "474a5f28f8a6410a8febf0ee0da60716" + ] + }, + "id": "1DzGjKHifPGK", + "outputId": "6a7809a4-b5ce-4116-a557-f99332e2af28" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "Saving model checkpoint to wav2vec2-large-xls-r-300m-as\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-as/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-as/preprocessor_config.json\n", + "Several commits (2) will be pushed upstream.\n", + "The progress bars may be unreliable.\n" + ] + }, + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7bb658e851f14ba8b34c287a03ce2aad", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "Upload file pytorch_model.bin: 0%| | 3.37k/1.18G [00:00 main\n", + "\n", + "Dropping the following result as it does not have all the necessary fields:\n", + "{'dataset': {'name': 'common_voice', 'type': 'common_voice', 'args': 'as'}}\n", + "To https://huggingface.co/anuragshas/wav2vec2-large-xls-r-300m-as\n", + " 87eccaa..d297d9f main -> main\n", + "\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + }, + "text/plain": [ + "'https://huggingface.co/anuragshas/wav2vec2-large-xls-r-300m-as/commit/87eccaaad11b7893d86f1dfcf0cd64ef7483b868'" + ] + }, + "metadata": {}, + "execution_count": 35 + } + ] + }, + { + "cell_type": "code", + "source": [ + "" + ], + "metadata": { + "id": "93NnxhS_1EIV" + }, + "execution_count": null, + "outputs": [] + } + ] +} \ No newline at end of file