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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- afrispeech-200
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metrics:
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- wer
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model-index:
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- name:
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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:
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type: afrispeech-200
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config: all
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split: train
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args:
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metrics:
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- name: Wer
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type: wer
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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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#
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.6236
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- Wer: 32.8714
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---
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language:
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- en
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license: apache-2.0
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tags:
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- hf-asr-leaderboard
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- generated_from_trainer
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datasets:
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- tobiolatunji/afrispeech-200
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metrics:
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- wer
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model-index:
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- name: Whisper Small En - Moh
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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: AfriSpeech
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type: tobiolatunji/afrispeech-200
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config: all
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split: train
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args: 'config: en, split: test'
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metrics:
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- name: Wer
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type: wer
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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 En - Moh
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the AfriSpeech dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6236
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- Wer: 32.8714
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