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README.md
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- Codec-SUPERB/Voxceleb1_test_original
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language:
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- en
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metrics:
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- accuracy: 0.95528
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- precision: 0.937891
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- f1: 0.938486
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- recall: 0.944353
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- eer: 0.013731
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base_model:
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- facebook/wav2vec2-base
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pipeline_tag: audio-classification
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library_name: transformers
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tags:
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- Codec-SUPERB/Voxceleb1_test_original
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language:
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- en
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base_model:
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- facebook/wav2vec2-base
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model-index:
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- name: Speaker_Recognition_with_fine_tuned_Wav2Vec2
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results:
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- task:
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type: audio-classification
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name: Audio Classification
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dataset:
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name: Voxceleb1
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type: Codec-SUPERB/Voxceleb1_test_original
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.95528
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- name: Precision
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type: precision
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value: 0.937891
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- name: Recall
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type: recall
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value: 0.944353
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- name: F1
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type: f1
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value: 0.938486
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- name: EER
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type: eer
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value: 0.013731
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pipeline_tag: audio-classification
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library_name: transformers
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tags:
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