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update model card 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: dsn_afrispeech_small
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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-200
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- type: afrispeech-200
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  config: all
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  split: train
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- args: all
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  metrics:
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  - name: Wer
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  type: wer
@@ -27,9 +30,9 @@ model-index:
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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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- # dsn_afrispeech_small
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the afrispeech-200 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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  ---
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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