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@@ -10,13 +10,13 @@ datasets:
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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 v2
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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 cs
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  type: mozilla-foundation/common_voice_11_0
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  config: cs
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  split: test
@@ -30,7 +30,7 @@ model-index:
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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 v2
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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:
@@ -39,7 +39,7 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- More information needed
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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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