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README.md
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language:
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license: apache-2.0
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base_model: openai/whisper-
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tags:
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datasets:
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metrics:
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model-index:
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- name: Whisper
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results:
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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
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This model is a fine-tuned version of [openai/whisper-
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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
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