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README.md
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- whisper-event
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- generated_from_trainer
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datasets:
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- mozilla-foundation/
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metrics:
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- wer
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model-index:
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 13
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type: mozilla-foundation/
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config: tr
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split: None
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args: tr
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# Whisper Large v2 TR
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the Common Voice
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It achieves the following results on the evaluation set:
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- Loss: 0.1568
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- Wer: 9.0189
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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_17
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metrics:
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- wer
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model-index:
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 13
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type: mozilla-foundation/common_voice_17
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config: tr
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split: None
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args: tr
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# Whisper Large v2 TR
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the Common Voice 17 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1568
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- Wer: 9.0189
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