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README.md
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library_name: transformers
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license: apache-2.0
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base_model: EYEDOL/whisper-tiny-yoruba
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: whisper-tiny-yoruba1
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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-tiny-yoruba1
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This model is a fine-tuned version of [EYEDOL/whisper-tiny-yoruba](https://huggingface.co/EYEDOL/whisper-tiny-yoruba) on
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It achieves the following results on the evaluation set:
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- Loss: 0.8130
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- Wer Ortho: 0.7657
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---
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library_name: transformers
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language:
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- yo
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license: apache-2.0
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base_model: EYEDOL/whisper-tiny-yoruba
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tags:
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- generated_from_trainer
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datasets:
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- EYEDOL/naija-voices-yoruba-split_0-4
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metrics:
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- wer
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model-index:
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- name: EYEDOL/whisper-tiny-yoruba1
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: EYEDOL/naija-voices-yoruba-split_0-4
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type: EYEDOL/naija-voices-yoruba-split_0-4
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metrics:
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- name: Wer
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type: wer
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value: 0.6754516577327775
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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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# EYEDOL/whisper-tiny-yoruba1
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This model is a fine-tuned version of [EYEDOL/whisper-tiny-yoruba](https://huggingface.co/EYEDOL/whisper-tiny-yoruba) on the EYEDOL/naija-voices-yoruba-split_0-4 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8130
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- Wer Ortho: 0.7657
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