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README.md
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metrics:
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- wer
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model-index:
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- name: Whisper Large-v2 Czech CV11
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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
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type: mozilla-foundation/common_voice_11_0
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config: cs
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split: test
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper Large-v2 Czech CV11
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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 mozilla-foundation/common_voice_11_0 cs dataset.
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It achieves the following results on the evaluation set:
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## Model description
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## Intended uses & limitations
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metrics:
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- wer
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model-index:
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- name: Whisper Large-v2 Czech CV11 audio concatenation test
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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
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type: mozilla-foundation/common_voice_11_0
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config: cs
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split: test
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper Large-v2 Czech CV11 audio concatenation test
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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 mozilla-foundation/common_voice_11_0 cs dataset.
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It achieves the following results on the evaluation set:
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## Model description
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First test of audio concatenation few short samples to one training sample together.
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## Intended uses & limitations
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