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update model card README.md

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@@ -3,25 +3,11 @@ license: bsd-3-clause
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  base_model: MIT/ast-finetuned-audioset-10-10-0.4593
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  tags:
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  - generated_from_trainer
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- datasets:
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- - marsyas/gtzan
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  metrics:
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  - accuracy
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  model-index:
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  - name: ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan
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- results:
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- - task:
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- name: Audio Classification
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- type: audio-classification
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- dataset:
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- name: GTZAN
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- type: marsyas/gtzan
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- config: null
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- split: None
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.88
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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
@@ -29,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan
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- This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the GTZAN dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.5270
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  - Accuracy: 0.88
 
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  base_model: MIT/ast-finetuned-audioset-10-10-0.4593
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  tags:
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  - generated_from_trainer
 
 
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  metrics:
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  - accuracy
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  model-index:
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  - name: ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan
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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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  # ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan
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+ This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.5270
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  - Accuracy: 0.88