stereotype_finetuned_3_class_jailbreak
This model is a fine-tuned version of wu981526092/Sentence-Level-Stereotype-Detector on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3321
- Accuracy: 0.9647
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2493 | 1.0 | 526 | 0.1518 | 0.9526 |
| 0.1115 | 2.0 | 1052 | 0.1791 | 0.9555 |
| 0.0539 | 3.0 | 1578 | 0.2281 | 0.9590 |
| 0.0349 | 4.0 | 2104 | 0.2549 | 0.9587 |
| 0.026 | 5.0 | 2630 | 0.2888 | 0.9612 |
| 0.0096 | 6.0 | 3156 | 0.3121 | 0.9626 |
| 0.0067 | 7.0 | 3682 | 0.3401 | 0.9601 |
| 0.0059 | 8.0 | 4208 | 0.2992 | 0.9594 |
| 0.0108 | 9.0 | 4734 | 0.3204 | 0.9604 |
| 0.0075 | 10.0 | 5260 | 0.2747 | 0.9651 |
| 0.0036 | 11.0 | 5786 | 0.3540 | 0.9615 |
| 0.003 | 12.0 | 6312 | 0.3233 | 0.9629 |
| 0.0018 | 13.0 | 6838 | 0.3267 | 0.9629 |
| 0.0001 | 14.0 | 7364 | 0.3310 | 0.9647 |
| 0.0022 | 15.0 | 7890 | 0.3321 | 0.9647 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1