library_name: transformers license: apache-2.0 base_model: assoni2002/wav2vec2-jailbreak-classification_new tags:
- generated_from_trainer metrics:
- accuracy model-index:
- name: finetuned-wav2vec2-jailbreak-roleplay results: []
finetuned-wav2vec2-jailbreak-roleplay
This model is a fine-tuned version of assoni2002/wav2vec2-jailbreak-classification_new on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2063
- Accuracy: 0.95
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4178 | 1.0 | 5 | 0.9412 | 0.6 |
| 0.4836 | 2.0 | 10 | 0.4918 | 0.8 |
| 0.3961 | 3.0 | 15 | 0.3995 | 0.85 |
| 0.3672 | 4.0 | 20 | 0.3872 | 0.85 |
| 0.3326 | 5.0 | 25 | 0.3846 | 0.85 |
Framework versions
- Transformers 4.53.3
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2