distilbert-base-uncased-lora-text-classification-toxicchat-jailbreak
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0311
- F1: 0.9936
- Auprc: 0.8224
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Auprc |
|---|---|---|---|---|---|
| 0.088 | 1.0 | 636 | 0.0273 | 0.9934 | 0.8172 |
| 0.0436 | 2.0 | 1272 | 0.0372 | 0.9933 | 0.8174 |
| 0.0288 | 3.0 | 1908 | 0.0290 | 0.9920 | 0.7779 |
| 0.0154 | 4.0 | 2544 | 0.0324 | 0.9920 | 0.7978 |
| 0.0108 | 5.0 | 3180 | 0.0311 | 0.9936 | 0.8224 |
Framework versions
- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.3.0+cu118
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for cyrp/distilbert-base-uncased-lora-text-classification-toxicchat-jailbreak
Base model
distilbert/distilbert-base-uncased