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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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- - ncc_s
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  metrics:
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  - wer
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  model-index:
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- - name: whisper-tiny-nob
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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: ncc_s
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- type: ncc_s
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  config: 'no'
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  split: validation
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  args: 'no'
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  metrics:
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  - name: Wer
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  type: wer
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- value: 24.96954933008526
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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-nob
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- This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the ncc_s dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5128
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- - Wer: 24.9695
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  ## Model description
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  ---
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  license: apache-2.0
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  tags:
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+ - whisper-event
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  - generated_from_trainer
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  datasets:
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+ - NbAiLab/NCC_S
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  metrics:
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  - wer
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  model-index:
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+ - name: "Whisper Tiny Norwegian Bokm\xE5l"
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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: NbAiLab/NCC_S
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+ type: NbAiLab/NCC_S
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  config: 'no'
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  split: validation
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  args: 'no'
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 24.878197320341048
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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 Norwegian Bokmål
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+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the NbAiLab/NCC_S dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5100
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+ - Wer: 24.8782
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  ## Model description
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