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--- |
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language: |
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- is |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- hf-asr-leaderboard |
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datasets: |
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- language-and-voice-lab/samromur_asr |
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- language-and-voice-lab/althingi_asr |
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- language-and-voice-lab/malromur_asr |
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- language-and-voice-lab/samromur_children |
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- language-and-voice-lab/raddromur_asr |
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metrics: |
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- wer |
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pinned: false |
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model-index: |
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- name: Whisper medium is |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: samromur |
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type: language-and-voice-lab/samromur_asr |
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config: samromur_asr |
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split: test |
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metrics: |
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- type: wer |
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value: 10.08% |
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name: WER |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: google/fleurs |
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type: google/fleurs |
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config: is_is |
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split: test |
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metrics: |
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- type: wer |
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value: 13.94 |
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name: WER |
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--- |
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# openai/whisper-medium |
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|
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the samromur, malromur, raddromur and althingi datasets. |
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It achieves the following results on the evaluation set, the output is lowercased and punctuation is removed: |
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- Google Fleurs 13.94% WER |
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- Samrómur 10.08% WER |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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