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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": "49874e26-4f4b-42c5-a1c7-3957c0045b99" + }, + "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 (1,878 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": 359, + "referenced_widgets": [ + "4304086a2b9c440fb8d0023623b7a05c", + "0dd1e64d5eff409f8314614165d80b9d", + "596a7a303b344b218a486f1f05475b5c", + "d2e04d910237444fa3ab81c7e3add0fe", + "fa45a714388f4347be87b2ede73b07e8", + "09906643b8d849d596fd5dc880c518d8", + "b659ee2c2e164c308f4fdb475f9aab5c", + "f119033dcb1e4e8cb992d5f6765a1d9c", + "3b51dd44e0c5457f818b232864174428", + "1826b962f0764b1187672d875e21beee", + "98c1a99919a74c52ae3d4c225f22df1d", + "19fb7c9b85fc44ecbadca8260199d173", + "064f5b8dfcd444ce9809500aa1ae1cf4", + "fcd247d57db44a2eaaee4774037bba3a", + "512ec4070bbf42ffbadc28f2d6381b70", + "0008c146c73c44e0b4632ff50f8f5432", + "03d6264c6b104e1cb5013b3762bba159" + ] + }, + "id": "1CCVxM2-hLbE", + "outputId": "bfe36be0-7cbb-4cfe-c8e8-3df2caf63657" + }, + "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\", \"or\", split=\"train+validation\", use_auth_token=True)\n", + "common_voice_test = load_dataset(\"mozilla-foundation/common_voice_7_0\", \"or\", split=\"test\", use_auth_token=True)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "hnwqYEFnhji5", + "outputId": "8eb3f4f7-4803-4bec-964a-23ca4e5338c0" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "Reusing dataset common_voice (/root/.cache/huggingface/datasets/mozilla-foundation___common_voice/or/7.0.0/33e08856cfa0d0665e837bcad73ffd920a0bc713ce8c5fffb55dbdf1c084d5ba)\n", + "Reusing dataset common_voice (/root/.cache/huggingface/datasets/mozilla-foundation___common_voice/or/7.0.0/33e08856cfa0d0665e837bcad73ffd920a0bc713ce8c5fffb55dbdf1c084d5ba)\n" + ] + } + ] + }, + { + "cell_type": "code", + "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\"])" + ], + "metadata": { + "id": "e_Km6s8AJgWz" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "import re\n", + "chars_to_remove_regex = '''[\\।\\!\\\"\\,\\-\\.\\?\\:\\|\\“\\”\\–\\;\\'\\’]'''\n", + "\n", + "def remove_special_characters(batch):\n", + " batch[\"sentence\"] = re.sub(chars_to_remove_regex, '', batch[\"sentence\"]).lower()\n", + " return batch" + ], + "metadata": { + "id": "DcXT9xueZfMX" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "common_voice_train = common_voice_train.map(remove_special_characters)\n", + "common_voice_test = common_voice_test.map(remove_special_characters)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "15bac754283448f5a4f217b5d68a9e32", + "235ce8ff0d1d465ea0f635588e3113bc", + "178a2b86b6874c2fa6fdcd8325cd3e05", + "5ba6ce957a7449e1943f4b50015c7bac", + "a89fa7f53ea6477ab1b793e85372b386", + "4d4b686146b44e6692e6170fab424f0d", + "4625e2a4440e4ae7a5989fd57a5a32a3", + "e901642b08c040ae81fd27456e9ae07f", + "f7c1af45cf9f4e38a031c244830f1a38", + "2a649091a8e948a883aadf5aedf27d56", + "1bb64d1986f4424c9356b00e81da8c74", + "04d5929262444ae088bec02452f0b196", + "9fca65b824b249a28c6683a91efa5149", + "8ad89cf4900247659f443e7cc8006f61", + "993c0ff65d424975bee72839acd7150f", + "28c042ae5c1d4ce5a91a44c3f688c227", + "160134a6d96e451181d9a8009531a09c", + "6eb86a965e174c159e082f00f949e52a", + "30d7eaa6072748589cf179ea4fb22301", + "54cde0e31fb94359b518f3d4c4a46388", + "da3616fed108470399fb9b5dcb1bdae2", + "0621e673a09c4836a186111c8837e9eb" + ] + }, + "id": "TwvH3y9DZhvr", + "outputId": "7d1838db-994d-44b7-b9ec-21540983a4b0" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "15bac754283448f5a4f217b5d68a9e32", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + " 0%| | 0/537 [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-or/commit/8de2057248265218330a8cca85d229f88b76fb18'" + ] + }, + "metadata": {}, + "execution_count": 27 + } + ] + }, + { + "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": [ + "9ac066ecd54b4fb9aa00a28242f0ec9a", + "e8e8e7c5e934478cb7b9fceacebd3dd4", + "7a0433e277d24b88a86ccbc6bcda2d41", + "02af1dde76ce454cb9632216ebdf5c29", + "f99f9571d05f4fe59b16899aefa2f537", + "0c9c7705477c4959be3915b3c85ddb1b", + "777b284e0a024060a150b1a0194b5805", + "f9a40b00fd224f9baf9d959c20c8cdbc", + "b223b3f129414d9180fbcedeeddf86ac", + "348d15831c4b4f4b994762da5d1cc9fc", + "a37767c0fecd48828efccf6ed2468e33", + "8451c92b0de14f91a2ba5ba12ef8fe2d", + "ca5b0d482a054e54b2d0d4275658f0aa", + "08fed23a861e412b95945fc364447ff6", + "b9ca3ef14c6c4f4296d4de8a23bada50", + "d8015e53cb51468e9d5d85128854a4c1", + "85cbd69458e148af925324d1149f2d0f", + "63410210d49145f6ab3298c1c99d6e35", + "4196f4a17be74564ae4ec642827678fc", + "2f72124c09c24994b74a219a1c9a2248", + "0be9b09ce9fe4cc2b017dc3909d5eb41", + "9689d09f69ca4cadad37a556effd24be" + ] + }, + "id": "Uxt4G7XweZxf", + "outputId": "ca232410-2dda-40f0-ea7d-d41d0f41e836" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9ac066ecd54b4fb9aa00a28242f0ec9a", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + " 0%| | 0/537 [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": [ + "2d7f2dfa59bc4298ab14d89dab9323d5", + "56ab060fdf064fcdb4c946f99d12bf13", + "019f97b52b6c40988557c11071101124", + "b481a4e2a4d84d2595958cacbc421ffb", + "2f6caf1171d04ad680d52b7ab28aed9a", + "e7b0b3e6d8d742428e3b9b03cdc22451", + "cd4c2dce2ebc46048a062be59f0eb0bf", + "fe4686c64a224789b08bedf5fba6a436", + "bbfe18b6d49b42f6986f9e21bd65722a", + "ec7392a3347a4c80a1cc62c9bd1dbf6d", + "a9cb9dad1736446eab7493e0f1c80838" + ] + }, + "id": "tHAXlHO1ez7Z", + "outputId": "0cd3facc-9d80-4294-8177-5577c7233c22" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2d7f2dfa59bc4298ab14d89dab9323d5", + "version_minor": 0, + "version_major": 2 + }, + "text/plain": [ + "Downloading: 0%| | 0.00/1.91k [00:00\n", + " \n", + " \n", + " [4080/4080 5:48:13, Epoch 240/240]\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", 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" + ], + "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 = 112\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-or/checkpoint-400\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-400/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-or/checkpoint-400/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-400/preprocessor_config.json\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/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 = 112\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-or/checkpoint-800\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-800/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-or/checkpoint-800/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-800/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-or/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 = 112\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-or/checkpoint-1200\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-1200/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-or/checkpoint-1200/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-1200/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-or/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 = 112\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-or/checkpoint-1600\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-1600/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-or/checkpoint-1600/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-1600/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-or/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 = 112\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-or/checkpoint-2000\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-2000/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-or/checkpoint-2000/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-2000/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-or/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 = 112\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-or/checkpoint-2400\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-2400/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-or/checkpoint-2400/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-2400/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-or/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 = 112\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-or/checkpoint-2800\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-2800/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-or/checkpoint-2800/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-2800/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-or/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 = 112\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-or/checkpoint-3200\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-3200/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-or/checkpoint-3200/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-3200/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-or/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 = 112\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-or/checkpoint-3600\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-3600/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-or/checkpoint-3600/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-3600/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-or/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 = 112\n", + " Batch size = 8\n", + "Saving model checkpoint to wav2vec2-large-xls-r-300m-or/checkpoint-4000\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-4000/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-or/checkpoint-4000/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/checkpoint-4000/preprocessor_config.json\n", + "Deleting older checkpoint [wav2vec2-large-xls-r-300m-or/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", + "\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=4080, training_loss=0.6819741196638229, metrics={'train_runtime': 20901.6388, 'train_samples_per_second': 6.166, 'train_steps_per_second': 0.195, 'total_flos': 2.21195815354744e+19, 'train_loss': 0.6819741196638229, 'epoch': 240.0})" + ] + }, + "metadata": {}, + "execution_count": 42 + } + ] + }, + { + "cell_type": "code", + "source": [ + "trainer.push_to_hub()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 342, + "referenced_widgets": [ + "833ad4d97b524838a36e91e8317f2529", + "60ff0be3b1be41769337303c51f846b5", + "e4440f422ae242e39522a24078a6752e", + "20e8df37f7cb403bb14d55c269602389", + "29fde6da8462420099361ab005505a00", + "0464fde65cf24c90a13f8812000d5845", + "9625b3b0f02a4022a71ee915060a2508", + "18d548e454934f40b1076c164787e142", + "52c1f33ff2a54bc3a4c2d97c91b27994", + "4acc88a482944692b38f74d871623400", + "223e615d7af4477781d1c00a081e7ce8", + "71f6ad0d05c94887b0890ee8818241f0", + "0ddc20eddfd94bea9496fe3fcfa8d5fe", + "516c0bb64a864f49b012a40b468677d3", + "edb5e248559f428395225e1e42fc4843", + "c77c178a7b744979aece53ea5d3502c1", + "c53250ddc6724c1b9245054c14ef5989", + "1ea5ac5ff88d40a7ab2b26a530b36faf", + "c7a0e5c30e034db294024ac75fb27861", + "2aa293cecc0f430296d32750a62b0337", + "1a67f291c82c4786808dad9fc2079f10", + "ff11bd3c10c4413eab190bdbcfa36fd9" + ] + }, + "id": "1DzGjKHifPGK", + "outputId": "595af0b6-2457-4c8e-9f65-a9ee2ea150bd" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "Saving model checkpoint to wav2vec2-large-xls-r-300m-or\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/config.json\n", + "Model weights saved in wav2vec2-large-xls-r-300m-or/pytorch_model.bin\n", + "Configuration saved in wav2vec2-large-xls-r-300m-or/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": "833ad4d97b524838a36e91e8317f2529", + "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': 'or'}}\n", + "To https://huggingface.co/anuragshas/wav2vec2-large-xls-r-300m-or\n", + " 2e30dba..ac42681 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-or/commit/2e30dbad96b5318caff7ca93a288410ec8dfda0d'" + ] + }, + "metadata": {}, + "execution_count": 43 + } + ] + }, + { + "cell_type": "code", + "source": [ + "" + ], + "metadata": { + "id": "93NnxhS_1EIV" + }, + "execution_count": null, + "outputs": [] + } + ] +} \ No newline at end of file