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dataclasses import dataclass\n", + "from typing import Any, Dict, List, Union\n", + "import evaluate\n", + "from transformers.models.whisper.english_normalizer import BasicTextNormalizer\n", + "from transformers import WhisperForConditionalGeneration\n", + "from functools import partial\n", + "from transformers import Seq2SeqTrainingArguments\n", + "from transformers import Seq2SeqTrainer\n", + "import librosa\n", + "from transformers import pipeline\n" + ], + "metadata": { + "id": "WOF19jG4gm8U" + }, + "execution_count": 5, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "minds = load_dataset(\"PolyAI/minds14\", name=\"en-US\", split=\"train\")" + ], + "metadata": { + "id": "UI7QRkycgy8g", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 344, + "referenced_widgets": [ + "9403c985770149dc85efadb4fa93237b", + "3698b06d114b4e6cb31c6e402f66de69", + "1f970e30a0cb43dea338b0a72f102dec", + "808f76e680764d8fa558a428ecadaef5", + 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secret in your Google Colab and restart your session.\n", + "You will be able to reuse this secret in all of your notebooks.\n", + "Please note that authentication is recommended but still optional to access public models or datasets.\n", + " warnings.warn(\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "README.md: 0%| | 0.00/5.28k [00:00 Dict[str, torch.Tensor]:\n", + " input_features = [\n", + " {'input_features': feature['input_features'][0]}\n", + " for feature in features\n", + " ]\n", + "\n", + " batch = self.processor.feature_extractor.pad(\n", + " input_features, return_tensors=\"pt\"\n", + " )\n", + "\n", + " label_features = [{'input_ids': feature['labels']} for feature in features]\n", + "\n", + " labels_batch = self.processor.tokenizer.pad(\n", + " label_features, return_tensors=\"pt\"\n", + " )\n", + "\n", + " labels = labels_batch[\"input_ids\"].masked_fill(\n", + " labels_batch.attention_mask.ne(1), -100\n", + " )\n", + "\n", + " if (labels[:, 0] == self.processor.tokenizer.bos_token_id).all().cpu().item():\n", + " labels = labels[:, 1:]\n", + "\n", + " batch[\"labels\"] = labels\n", + "\n", + " return batch" + ], + "metadata": { + "id": "ZooCE4yMgnpI" + }, + "execution_count": 18, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "data_collator = DataCollatorSpeechSeq2SeqWithPadding(processor=processor)" + ], + "metadata": { + "id": "1CN4Kr83gnsU" + }, + "execution_count": 19, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "metric = evaluate.load(\"wer\")" + ], + "metadata": { + "id": "3985IGNPgnvL", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 49, + "referenced_widgets": [ + "7d6ec349103548f8818b410bf39df3fd", + "48378ff8e2594bee9c9e28b8374019ec", + "f7846d7c525b4708bae9dc939ed7b159", + "97aff2ca1d584d69b4ba45520803d756", + "6d7cc92ae57b4c2d8c7164dd3d0b7dcb", + "63ae480f501741b59f7ea984fff498e1", + "ed3a59d10633464cb9d27ed85fd5048e", + "3d29795abdc54329986d1db8769e8ec9", + "e0e4b959417b4da187ee32b02148117b", + "00dfd450c08a419daea10d3b21b9ba41", + "2953b07ef7d648b59decd18c4e8dd069" + ] + }, + "outputId": "96253a21-b322-42ca-ecfd-6fb5d17abf5f" + }, + "execution_count": 20, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Downloading builder script: 0%| | 0.00/4.49k [00:00 0]\n", + " label_str_norm = [label_str_norm[i] for i in range(len(label_str_norm)) if len(label_str_norm[i]) > 0]\n", + "\n", + " wer_norm = metric.compute(predictions=pred_str_norm, references=label_str_norm)\n", + "\n", + " return {\"wer_ortho\": wer_ortho, \"wer\": wer_norm}" + ], + "metadata": { + "id": "N8uKysOAgnxy" + }, + "execution_count": 21, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "model = WhisperForConditionalGeneration.from_pretrained(\"openai/whisper-tiny\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 113, + "referenced_widgets": [ + 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Use `processing_class` instead.\n", + " trainer = Seq2SeqTrainer(\n", + "max_steps is given, it will override any value given in num_train_epochs\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "trainer.train()" + ], + "metadata": { + "id": "yK4CBbUzpDnF", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 752 + }, + "outputId": "47dd24eb-1488-45e7-af45-bf78f0675d04" + }, + "execution_count": 27, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "\n", + "
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" + ] + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "You have passed task=transcribe, but also have set `forced_decoder_ids` to [[1, None], [2, 50359]] which creates a conflict. `forced_decoder_ids` will be ignored in favor of task=transcribe.\n", + "The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.\n", + "/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py:2817: UserWarning: Moving the following attributes in the config to the generation config: {'max_length': 448, 'suppress_tokens': [1, 2, 7, 8, 9, 10, 14, 25, 26, 27, 28, 29, 31, 58, 59, 60, 61, 62, 63, 90, 91, 92, 93, 359, 503, 522, 542, 873, 893, 902, 918, 922, 931, 1350, 1853, 1982, 2460, 2627, 3246, 3253, 3268, 3536, 3846, 3961, 4183, 4667, 6585, 6647, 7273, 9061, 9383, 10428, 10929, 11938, 12033, 12331, 12562, 13793, 14157, 14635, 15265, 15618, 16553, 16604, 18362, 18956, 20075, 21675, 22520, 26130, 26161, 26435, 28279, 29464, 31650, 32302, 32470, 36865, 42863, 47425, 49870, 50254, 50258, 50358, 50359, 50360, 50361, 50362], 'begin_suppress_tokens': [220, 50257]}. You are seeing this warning because you've set generation parameters in the model config, as opposed to in the generation config.\n", + " warnings.warn(\n", + "There were missing keys in the checkpoint model loaded: ['proj_out.weight'].\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "TrainOutput(global_step=500, training_loss=0.2877341524623334, metrics={'train_runtime': 1153.318, 'train_samples_per_second': 6.937, 'train_steps_per_second': 0.434, 'total_flos': 1.9109178630144e+17, 'train_loss': 0.2877341524623334, 'epoch': 17.24137931034483})" + ] + }, + "metadata": {}, + "execution_count": 27 + } + ] + }, + { + "cell_type": "code", + "source": [ + "kwargs = {\n", + " \"dataset_tags\": \"PolyAI/minds14\",\n", + " \"finetuned_from\": \"openai/whisper-tiny\",\n", + " \"tasks\": \"automatic-speech-recognition\",\n", + "}\n", + "\n", + "trainer.push_to_hub(**kwargs)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 71 + }, + "id": "5gnigMKhGtvc", + "outputId": "bc8eb34a-4b3d-4bdc-b88c-6f306ac5b191" + }, + "execution_count": 28, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "CommitInfo(commit_url='https://huggingface.co/ahk-d/whisper-tiny/commit/3a0a084cbb4d87e79434a2fe353e0e405e0dffed', commit_message='End of training', commit_description='', oid='3a0a084cbb4d87e79434a2fe353e0e405e0dffed', pr_url=None, repo_url=RepoUrl('https://huggingface.co/ahk-d/whisper-tiny', endpoint='https://huggingface.co', repo_type='model', repo_id='ahk-d/whisper-tiny'), pr_revision=None, pr_num=None)" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + } + }, + "metadata": {}, + "execution_count": 28 + } + ] + }, + { + "cell_type": "code", + "source": [ + "pipe = pipeline(\"automatic-speech-recognition\", model=\"ahk-d/whisper-tiny\")\n", + "\n", + "from google.colab import files\n", + "uploaded = files.upload()\n", + "\n", + "audio_file = list(uploaded.keys())[0]\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 92 + }, + "id": "fKaGHSqjI3Eu", + "outputId": "42d47476-a1b7-4da7-ff64-af606f5f70c1" + }, + "execution_count": 35, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "Hardware accelerator e.g. GPU is available in the environment, but no `device` argument is passed to the `Pipeline` object. Model will be on CPU.\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "\n", + " \n", + " \n", + " Upload widget is only available when the cell has been executed in the\n", + " current browser session. Please rerun this cell to enable.\n", + " \n", + " " + ] + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Saving Fri Nov 15 2024.mp3 to Fri Nov 15 2024 (2).mp3\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "try:\n", + " audio, sr = librosa.load(audio_file, sr=16000) # Adjust sampling rate if necessary\n", + " # Transcribe the audio\n", + " text = pipe(audio, return_timestamps=True)\n", + " print(text[\"text\"])\n", + "\n", + "except Exception as e:\n", + " print(f\"An error occurred: {e}\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "8Cn1GOB4MPI7", + "outputId": "7d4d979d-c8bc-4fd8-e068-6ef94afa4624" + }, + "execution_count": 37, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Who are you? I'm Ian Borden I'm a professor of architecture at University College London What is a building? A building is anything that anyone has built So my shoes are a building how many three wise men were there who knows I'd brought up a stamp bread sauce it's a great way of making a really safe resource bread and sauce are too complicated for things out there but you can you can grind the bread down and then cook it in milk to make a really good a really good good just look like so far when Henry died it would be came king edge just nine years old Edward died edge 15 the youngest anyone would ever die to bowl edge when you take to a canchèxpea do their heads go physically bigger\n" + ] + } + ] + } + ] +} \ No newline at end of file