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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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- - fleurs
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  metrics:
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  - wer
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  model-index:
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- - name: openai/whisper-medium
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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: fleurs
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- type: fleurs
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  config: gl_es
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  split: test
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  args: gl_es
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  metrics:
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  - name: Wer
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  type: wer
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- value: 15.206022901451627
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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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- # openai/whisper-medium
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- This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the fleurs dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5593
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- - Wer: 15.2060
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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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+ - google/fleurs
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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper Medium Galician
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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: google/fleurs gl_es
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+ type: google/fleurs
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  config: gl_es
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  split: test
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  args: gl_es
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 14.674060048688126
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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 Medium Galician
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+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the google/fleurs gl_es dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4553
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+ - Wer: 14.6741
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  ## Model description
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