--- license: apache-2.0 datasets: - Codec-SUPERB/Voxceleb1_test_original language: - en base_model: - facebook/wav2vec2-base model-index: - name: Speaker_Recognition_with_fine_tuned_Wav2Vec2 results: - task: type: audio-classification name: Audio Classification dataset: name: Voxceleb1 type: Codec-SUPERB/Voxceleb1_test_original metrics: - name: Accuracy type: accuracy value: 0.95528 - name: Precision type: precision value: 0.937891 - name: Recall type: recall value: 0.944353 - name: F1 type: f1 value: 0.938486 - name: EER type: eer value: 0.013731 pipeline_tag: audio-classification library_name: transformers tags: - audio-classification - speech-recognition - wav2vec2 - english metrics: - accuracy - precision - f1 --- # Speaker_Recognition_with_fine_tuned_Wav2Vec2 ### Downstream Use Speaker Recognition on the Voxceleb1['test'] split ## Training Details ### Training Data Training is carried out on [Voxceleb1](https://huggingface.co/datasets/Codec-SUPERB/Voxceleb1_test_original) ## Evaluation | Metric | Value | |:---------:|:--------:| | Accuracy | 0.985641 | | Precision | 0.984270 | | Recall | 0.983071 | | F1-score | 0.983118 | | EER | 0.003487 | ### Testing Data, Factors & Metrics #### Testing Data | Metric | Value | |:---------:|:--------:| | Accuracy | 0.95528 | | Precision | 0.937891 | | Recall | 0.944353 | | F1-score | 0.938486 | | EER | 0.013731 |