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End of training

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  1. README.md +4 -4
README.md CHANGED
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  language:
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  - ms
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  license: apache-2.0
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- base_model: openai/whisper-medium
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  tags:
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  - generated_from_trainer
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  datasets:
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  metrics:
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  - wer
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  model-index:
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- - name: Whisper Medium FT Malay - CLT013
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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 Medium FT Malay - CLT013
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- This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Malay Speech 1.6 million dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.5227
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  - Wer: 33.0697
 
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  language:
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  - ms
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  license: apache-2.0
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+ base_model: openai/whisper-large-v3
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper Large v3 FT Malay - CLT013
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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 Large v3 FT Malay - CLT013
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+ This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Malay Speech 1.6 million dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.5227
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  - Wer: 33.0697