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Update README.md

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@@ -8,14 +8,18 @@ metrics:
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  model-index:
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  - name: whisper-large-v3-ft-cy
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  results: []
 
 
 
 
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  ---
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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-v3-ft-cy
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- This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1480
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  - Wer: 25.1341
@@ -63,4 +67,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.37.1
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  - Pytorch 2.1.2+cu121
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  - Datasets 2.16.1
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- - Tokenizers 0.15.1
 
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  model-index:
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  - name: whisper-large-v3-ft-cy
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  results: []
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+ language:
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+ - cy
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+ - en
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+ pipeline_tag: automatic-speech-recognition
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  ---
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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-v3-ft-cy-en
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+ This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on Welsh and English bilingual data from Mozilla's Common Voice dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1480
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  - Wer: 25.1341
 
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  - Transformers 4.37.1
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  - Pytorch 2.1.2+cu121
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  - Datasets 2.16.1
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+ - Tokenizers 0.15.1