wav2vec2-adversarial-detector
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0003
- Accuracy: 1.0
- Precision: 1.0
- Recall: 1.0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall |
|---|---|---|---|---|---|---|
| 0.1941 | 1.0 | 313 | 0.0061 | 0.998 | 0.9980 | 0.998 |
| 0.0251 | 2.0 | 626 | 0.0011 | 1.0 | 1.0 | 1.0 |
| 0.0089 | 3.0 | 939 | 0.0005 | 1.0 | 1.0 | 1.0 |
| 0.0054 | 4.0 | 1252 | 0.0003 | 1.0 | 1.0 | 1.0 |
| 0.0076 | 5.0 | 1565 | 0.0003 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1