electra-base-discriminator-trustairlab-jailbreak-augmented
This model is a fine-tuned version of google/electra-base-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1392
- Accuracy: 0.9590
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5353 | 1.0 | 4240 | 0.2212 | 0.9106 |
| 0.2649 | 2.0 | 8480 | 0.1905 | 0.9383 |
| 0.1123 | 3.0 | 12720 | 0.1969 | 0.9369 |
| 0.1790 | 4.0 | 16960 | 0.1574 | 0.9554 |
| 0.1857 | 5.0 | 21200 | 0.1392 | 0.9590 |
| 0.1564 | 6.0 | 25440 | 0.1614 | 0.9601 |
| 0.0160 | 7.0 | 29680 | 0.1545 | 0.9622 |
| 0.0836 | 8.0 | 33920 | 0.1679 | 0.9628 |
Framework versions
- Transformers 5.2.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2