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@@ -10,7 +10,7 @@ datasets:
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  metrics:
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  - wer
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  model-index:
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- - name: Whisper Medium Turkish
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  results:
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  - task:
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  name: Automatic Speech Recognition
@@ -32,14 +32,19 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper Medium Turkish
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- This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0 tr dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1879
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  - Wer: 10.5033
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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 Medium Turkish CV
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  results:
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  - task:
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  name: Automatic Speech Recognition
 
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  # Whisper Medium Turkish
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+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0 Turkish dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1879
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  - Wer: 10.5033
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  ## Model description
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+ The model is fine-tuned for 1000 steps/updates.
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+ Zero-shot - 20.89 (CV11)
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+ Fine-tune on CV11 - 10.50 (CV11) (-49%)
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+
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+ Zeroshot - 10.4 (Google Fluers)
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+ Fine-tune on CV11 - 9.26 (Google Fluers)
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  ## Intended uses & limitations
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