wav2vec2-base-finetuned-deepfake-0919
This model is a fine-tuned version of facebook/wav2vec2-base on the asvspoof2019 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3335
- Accuracy: 0.8974
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3025 | 1.0 | 1586 | 0.3335 | 0.8974 |
| 0.4214 | 2.0 | 3172 | 0.3331 | 0.8974 |
| 0.4378 | 3.0 | 4758 | 0.3307 | 0.8974 |
| 0.3993 | 4.0 | 6344 | 0.3331 | 0.8974 |
| 0.2839 | 5.0 | 7930 | 0.3315 | 0.8974 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Downloads last month
- 9
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.