From 387b5f0af309f1739915ea93cb3f51cd025b4e93 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Thu, 14 May 2026 12:04:07 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: KBLab/wav2vec2-large-voxpopuli-sv-swedish Source: Original Platform --- .gitattributes | 18 ++++++++++ README.md | 69 ++++++++++++++++++++++++++++++++++++ config.json | 76 ++++++++++++++++++++++++++++++++++++++++ flax_model.msgpack | 3 ++ model.safetensors | 3 ++ preprocessor_config.json | 9 +++++ pytorch_model.bin | 3 ++ special_tokens_map.json | 1 + tokenizer_config.json | 1 + vocab.json | 1 + 10 files changed, 184 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 flax_model.msgpack create mode 100644 model.safetensors create mode 100644 preprocessor_config.json create mode 100644 pytorch_model.bin create mode 100644 special_tokens_map.json create mode 100644 tokenizer_config.json create mode 100644 vocab.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..cf6d51f --- /dev/null +++ b/.gitattributes @@ -0,0 +1,18 @@ +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tar.gz filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +model.safetensors filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..4c06c81 --- /dev/null +++ b/README.md @@ -0,0 +1,69 @@ +--- +language: sv-SE +datasets: +- common_voice +- NST Swedish ASR Database +metrics: +- wer +- cer +tags: +- audio +- automatic-speech-recognition +- speech +- voxpopuli +license: cc-by-nc-4.0 +model-index: +- name: Wav2vec 2.0 large VoxPopuli-sv swedish + results: + - task: + name: Speech Recognition + type: automatic-speech-recognition + dataset: + name: Common Voice + type: common_voice + args: sv-SE + metrics: + - name: Test WER + type: wer + value: 10.994764 + - name: Test CER + type: cer + value: 3.946846 +--- +# Wav2vec 2.0 large-voxpopuli-sv-swedish + +**PLEASE NOTE that [this](https://huggingface.co/KBLab/wav2vec2-large-voxrex-swedish) model performs better and has a less restrictive license.** + + +Additionally pretrained and finetuned version of Facebooks [VoxPopuli-sv large](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) model using Swedish radio broadcasts, NST and Common Voice data. Evalutation without a language model gives the following: WER for NST + Common Voice test set (2% of total sentences) is **3.95%**. WER for Common Voice test set is **10.99%** directly and **7.82%** with a 4-gram language model. + +When using this model, make sure that your speech input is sampled at 16kHz. + +## Training +This model has additionally pretrained on 1000h of Swedish local radio broadcasts, fine-tuned for 120000 updates on NST + CommonVoice and then for an additional 20000 updates on CommonVoice only. The additional fine-tuning on CommonVoice hurts performance on the NST+CommonVoice test set somewhat and, unsurprisingly, improves it on the CommonVoice test set. It seems to perform generally better though [citation needed]. + +## Usage +The model can be used directly (without a language model) as follows: +```python +import torch +import torchaudio +from datasets import load_dataset +from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor +test_dataset = load_dataset("common_voice", "sv-SE", split="test[:2%]"). +processor = Wav2Vec2Processor.from_pretrained("KBLab/wav2vec2-large-voxpopuli-sv-swedish") +model = Wav2Vec2ForCTC.from_pretrained("KBLab/wav2vec2-large-voxpopuli-sv-swedish") +resampler = torchaudio.transforms.Resample(48_000, 16_000) +# Preprocessing the datasets. +# We need to read the aduio files as arrays +def speech_file_to_array_fn(batch): + speech_array, sampling_rate = torchaudio.load(batch["path"]) + batch["speech"] = resampler(speech_array).squeeze().numpy() + return batch +test_dataset = test_dataset.map(speech_file_to_array_fn) +inputs = processor(test_dataset["speech"][:2], sampling_rate=16_000, return_tensors="pt", padding=True) +with torch.no_grad(): + logits = model(inputs.input_values, attention_mask=inputs.attention_mask).logits +predicted_ids = torch.argmax(logits, dim=-1) +print("Prediction:", processor.batch_decode(predicted_ids)) +print("Reference:", test_dataset["sentence"][:2]) +``` \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..75afc0d --- /dev/null +++ b/config.json @@ -0,0 +1,76 @@ +{ + "_name_or_path": "KBLab/wav2vec2-base-voxpopuli-sv-swedish", + "activation_dropout": 0.05, + "apply_spec_augment": true, + "architectures": [ + "Wav2Vec2ForCTC" + ], + "attention_dropout": 0.1, + "bos_token_id": 1, + "conv_bias": true, + "conv_dim": [ + 512, + 512, + 512, + 512, + 512, + 512, + 512 + ], + "conv_kernel": [ + 10, + 3, + 3, + 3, + 3, + 2, + 2 + ], + "conv_stride": [ + 5, + 2, + 2, + 2, + 2, + 2, + 2 + ], + "ctc_loss_reduction": "mean", + "ctc_zero_infinity": true, + "do_stable_layer_norm": true, + "eos_token_id": 2, + "feat_extract_activation": "gelu", + "feat_extract_dropout": 0.0, + "feat_extract_norm": "layer", + "feat_proj_dropout": 0.05, + "final_dropout": 0.0, + "gradient_checkpointing": true, + "hidden_act": "gelu", + "hidden_dropout": 0.05, + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 4096, + "layer_norm_eps": 1e-05, + "layerdrop": 0.05, + "mask_channel_length": 10, + "mask_channel_min_space": 1, + "mask_channel_other": 0.0, + "mask_channel_prob": 0.0, + "mask_channel_selection": "static", + "mask_feature_length": 10, + "mask_feature_prob": 0.0, + "mask_time_length": 10, + "mask_time_min_space": 1, + "mask_time_other": 0.0, + "mask_time_prob": 0.05, + "mask_time_selection": "static", + "model_type": "wav2vec2", + "num_attention_heads": 16, + "num_conv_pos_embedding_groups": 16, + "num_conv_pos_embeddings": 128, + "num_feat_extract_layers": 7, + "num_hidden_layers": 24, + "pad_token_id": 0, + "transformers_version": "4.6.0.dev0", + "vocab_size": 46 +} diff --git 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