---
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 |