commit 4be20121a9641206d50babd5364e7cc6a8998369 Author: ModelHub XC Date: Fri May 8 11:35:50 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: Edresson/wav2vec2-large-xlsr-coraa-portuguese Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..6d34772 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,27 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet 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 +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..378694a --- /dev/null +++ b/README.md @@ -0,0 +1,84 @@ +--- +language: pt +datasets: +- CORAA +metrics: +- wer +tags: +- audio +- speech +- wav2vec2 +- pt +- portuguese-speech-corpus +- automatic-speech-recognition +- hf-asr-leaderboard +- speech +- PyTorch +license: apache-2.0 +model-index: +- name: Edresson Casanova XLSR Wav2Vec2 Large 53 Portuguese + results: + - task: + name: Speech Recognition + type: automatic-speech-recognition + dataset: + name: CORAA + type: CORAA + args: pt + metrics: + - name: Test CORAA WER + type: wer + value: 25.26 + - task: + name: Speech Recognition + type: automatic-speech-recognition + dataset: + name: Common Voice 7 + type: mozilla-foundation/common_voice_7_0 + args: pt + metrics: + - name: Test WER on Common Voice 7 + type: wer + value: 20.08 +--- + +# Wav2vec 2.0 trained with CORAA Portuguese Dataset + +This a the demonstration of a fine-tuned Wav2vec model for Portuguese using the following [CORAA dataset](https://github.com/nilc-nlp/CORAA) + + + +# Use this model + +```python + +from transformers import AutoTokenizer, Wav2Vec2ForCTC + +tokenizer = AutoTokenizer.from_pretrained("Edresson/wav2vec2-large-xlsr-coraa-portuguese") + +model = Wav2Vec2ForCTC.from_pretrained("Edresson/wav2vec2-large-xlsr-coraa-portuguese") +``` +# Results +For the results check the [CORAA article](https://arxiv.org/abs/2110.15731) + +# Example test with Common Voice Dataset + + +```python +dataset = load_dataset("common_voice", "pt", split="test", data_dir="./cv-corpus-6.1-2020-12-11") + +resampler = torchaudio.transforms.Resample(orig_freq=48_000, new_freq=16_000) + +def map_to_array(batch): + speech, _ = torchaudio.load(batch["path"]) + batch["speech"] = resampler.forward(speech.squeeze(0)).numpy() + batch["sampling_rate"] = resampler.new_freq + batch["sentence"] = re.sub(chars_to_ignore_regex, '', batch["sentence"]).lower().replace("’", "'") + return batch +``` + +```python +ds = dataset.map(map_to_array) +result = ds.map(map_to_pred, batched=True, batch_size=1, remove_columns=list(ds.features.keys())) +print(wer.compute(predictions=result["predicted"], references=result["target"])) +``` diff --git a/config.json b/config.json new file mode 100644 index 0000000..d39274d --- /dev/null +++ b/config.json @@ -0,0 +1,84 @@ +{ + "_name_or_path": "../checkpoints/Wav2Vec/CORAA-new/final-version/train/checkpoint-37810", + "activation_dropout": 0.0, + "apply_spec_augment": true, + "architectures": [ + "Wav2Vec2ForCTC" + ], + "attention_dropout": 0.1, + "bos_token_id": 1, + "codevector_dim": 768, + "contrastive_logits_temperature": 0.1, + "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, + "diversity_loss_weight": 0.1, + "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": 0.1, + "feat_quantizer_dropout": 0.0, + "final_dropout": 0.0, + "gradient_checkpointing": true, + "hidden_act": "gelu", + "hidden_dropout": 0.1, + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 4096, + "layer_norm_eps": 1e-05, + "layerdrop": 0.0, + "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_codevector_groups": 2, + "num_codevectors_per_group": 320, + "num_conv_pos_embedding_groups": 16, + "num_conv_pos_embeddings": 128, + "num_feat_extract_layers": 7, + "num_hidden_layers": 24, + "num_negatives": 100, + "pad_token_id": 0, + "proj_codevector_dim": 768, + "transformers_version": "4.6.1", + "vocab_size": 45 +} diff --git a/preprocessor_config.json b/preprocessor_config.json new file mode 100644 index 0000000..73caa15 --- /dev/null +++ b/preprocessor_config.json @@ -0,0 +1,9 @@ +{ + "do_normalize": true, + "feature_extractor_type": "Wav2Vec2FeatureExtractor", + "feature_size": 1, + "padding_side": 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