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update model card README.md

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  ---
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  tags:
 
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  - generated_from_trainer
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  datasets:
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  - superb
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  - accuracy
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  model-index:
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  - name: trillsson3-ft-keyword-spotting
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- results:
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- - task:
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- name: Text Classification
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- type: text-classification
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- dataset:
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- name: superb
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- type: superb
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- config: ks
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- split: train
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- args: ks
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.9024713150926743
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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
@@ -30,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vumichien/nonsemantic-speech-trillsson3](https://huggingface.co/vumichien/nonsemantic-speech-trillsson3) on the superb dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3322
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- - Accuracy: 0.9025
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  ## Model description
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  ---
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  tags:
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+ - audio-classification
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  - generated_from_trainer
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  datasets:
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  - superb
 
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  - accuracy
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  model-index:
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  - name: trillsson3-ft-keyword-spotting
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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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  This model is a fine-tuned version of [vumichien/nonsemantic-speech-trillsson3](https://huggingface.co/vumichien/nonsemantic-speech-trillsson3) on the superb dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3563
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+ - Accuracy: 0.9041
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  ## Model description
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