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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 Small Hi - Muhammad Abdullah
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  results:
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  - task:
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  name: Automatic Speech Recognition
@@ -28,27 +28,13 @@ 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 Small Hi - Muhammad Abdullah
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- This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.9758
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  - Wer: 41.6987
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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- More information needed
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- ## Training procedure
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-
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper Small UR
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  results:
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  - task:
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  name: Automatic Speech Recognition
 
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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 Small UR - Muhammad Abdullah
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+ This model is a fine-tuned version of [openai/whisper-Small](https://huggingface.co/openai/whisper-large) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.9758
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  - Wer: 41.6987
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  ### Training hyperparameters
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  The following hyperparameters were used during training: