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@@ -6,21 +6,23 @@ pipeline_tag: audio-classification
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  base_model: alefiury/wav2vec2-large-xlsr-53-gender-recognition-librispeech
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  ---
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- This model is a fine tuning for the deepfake audio classification task
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  It achieves the following results on its evalutation data:
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- F1: 0.95
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- Loss: 0.4056
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  It achieves the following results on [ASVspoof2019](https://www.kaggle.com/datasets/awsaf49/asvpoof-2019-dataset) evaluation subset:
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- Accuracy:0.9286
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- Precision:0.9999
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- Recall:0.9205
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- F1-Score:0.9363
 
 
 
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  base_model: alefiury/wav2vec2-large-xlsr-53-gender-recognition-librispeech
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  ---
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+ This model is a fine tuning for the deepfake audio classification task.
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  It achieves the following results on its evalutation data:
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+ * F1: 0.95
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+ * Loss: 0.4056
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  It achieves the following results on [ASVspoof2019](https://www.kaggle.com/datasets/awsaf49/asvpoof-2019-dataset) evaluation subset:
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+ * Accuracy:0.9286
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+ * Precision:0.9999
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+ * Recall:0.9205
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+ * F1-Score:0.9363
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+
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+ * Equal Error Rate (EER): 0.0401