wav2vec2-xls-r-1b-DeepFake-AI4TRUST
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8947
- Accuracy: 0.8312
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: 3e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0351 | 1.0 | 197 | 0.8947 | 0.8312 |
| 0.0139 | 2.0 | 394 | 2.0995 | 0.6102 |
| 0.0017 | 2.9885 | 588 | 2.5715 | 0.6315 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.1.0a0+4136153
- Datasets 3.2.0
- Tokenizers 0.21.0