voiceshield-replay-robust-v2
This model is a fine-tuned version of Harmansingh24k/voiceshield-replay-robust on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0047
- Accuracy: 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0773 | 1.0 | 34 | 0.0321 | 0.9917 |
| 0.0179 | 2.0 | 68 | 0.0056 | 1.0 |
| 0.0118 | 3.0 | 102 | 0.0047 | 1.0 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 5.0.1
- Tokenizers 0.23.1