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--- |
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language: |
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- pt |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Large Portuguese |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: mozilla-foundation/common_voice_11_0 pt |
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type: mozilla-foundation/common_voice_11_0 |
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config: pt |
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split: test |
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args: pt |
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metrics: |
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- name: WER |
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type: wer |
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value: 4.816664144852979 |
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- name: CER |
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type: cer |
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value: 1.6052355927195898 |
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--- |
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# Whisper Large Portuguese |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on Portuguese using the train and validation splits of [Common Voice 11](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0). Not all validation split data were used during training, I extracted 1k samples from the validation split to be used for evaluation during fine-tuning. When using this model, make sure that your speech input is sampled at 16kHz. |
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## Usage |
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```python |
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from transformers import pipeline |
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transcriber = pipeline( |
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"automatic-speech-recognition", |
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model="jonatasgrosman/whisper-large-pt-cv11" |
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) |
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transcriber.model.config.forced_decoder_ids = ( |
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transcriber.tokenizer.get_decoder_prompt_ids( |
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language="pt" |
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task="transcribe" |
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) |
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) |
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transcription = transcriber("path/to/my_audio.wav") |
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``` |
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## Evaluation |
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### Common Voice 11 |
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| | CER | WER | |
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| --- | --- | --- | |
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| [jonatasgrosman/whisper-large-pt-cv11](https://huggingface.co/jonatasgrosman/whisper-large-pt-cv11) | 2.52 | 9.56 | |
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| [jonatasgrosman/whisper-large-pt-cv11](https://huggingface.co/jonatasgrosman/whisper-large-pt-cv11) + text normalization | 1.60 | 4.82 | |
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| [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) | 4.32 | 13.92 | |
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| [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) + text normalization | 2.84 | 7.02 | |
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### Fleurs |
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| | CER | WER | |
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| --- | --- | --- | |
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| [jonatasgrosman/whisper-large-pt-cv11](https://huggingface.co/jonatasgrosman/whisper-large-pt-cv11) | 4.88 | 12.08 | |
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| [jonatasgrosman/whisper-large-pt-cv11](https://huggingface.co/jonatasgrosman/whisper-large-pt-cv11) + text normalization | 5.46 | 8.57 | |
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| [jonatasgrosman/whisper-large-pt-cv11](https://huggingface.co/jonatasgrosman/whisper-large-pt-cv11) + text normalization + removal of samples with numbers | 3.36 | 6.05 | |
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| [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) | 3.52 | 10.55 | |
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| [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) + text normalization | 4.19 | 7.04 | |
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| [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) + text normalization + removal of samples with numbers | 3.56 | 6.15 | |
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