Add Model Card
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README.md
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---
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license: apache-2.0
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datasets:
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language:
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base_model:
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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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pipeline_tag: audio-classification
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library_name: transformers
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tags:
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---
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license: apache-2.0
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datasets:
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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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pipeline_tag: audio-classification
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library_name: transformers
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tags:
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- audio-classification
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- speech-recognition
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- wav2vec2
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- english
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metrics:
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- accuracy
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- precision
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- f1
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---
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# Speaker_Recognition_with_fine_tuned_Wav2Vec2
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### Downstream Use
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Speaker Recognition on the Voxceleb1['test'] split
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## Training Details
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### Training Data
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Training is carried out on [Voxceleb1](https://huggingface.co/datasets/Codec-SUPERB/Voxceleb1_test_original)
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## Evaluation
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| Metric | Value |
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|:---------:|:--------:|
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| Accuracy | 0.985641 |
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| Precision | 0.984270 |
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| Recall | 0.983071 |
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| F1-score | 0.983118 |
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| EER | 0.003487 |
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### Testing Data, Factors & Metrics
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#### Testing Data
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| Metric | Value |
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|:---------:|:--------:|
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| Accuracy | 0.95528 |
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| Precision | 0.937891 |
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| Recall | 0.944353 |
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| F1-score | 0.938486 |
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| EER | 0.013731 |
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