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VIT-ASVspoof2019-Mel_Spectrogram-Synthetic-Voice-Detection

Image Classification
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@@ -11,7 +11,7 @@ metrics:
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  - precision
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  - recall
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  model-index:
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- - name: vit-base-patch16-224-in21k
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  results:
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  - task:
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  name: Image Classification
@@ -40,7 +40,7 @@ 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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- # vit-base-patch16-224-in21k
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
 
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  - precision
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  - recall
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  model-index:
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+ - name: VIT-ASVspoof2019-Mel_Spectrogram-Synthetic-Voice-Detection
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  results:
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  - task:
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  name: Image Classification
 
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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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+ # MattyB95/VIT-ASVspoof2019-Mel_Spectrogram-Synthetic-Voice-Detection
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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  It achieves the following results on the evaluation set: