| license: apache-2.0 | |
| library_name: peft | |
| tags: | |
| - generated_from_trainer | |
| base_model: distilbert-base-uncased | |
| metrics: | |
| - f1 | |
| model-index: | |
| - name: distilbert-base-uncased-lora-text-classification-toxicchat-jailbreak | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # distilbert-base-uncased-lora-text-classification-toxicchat-jailbreak | |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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 |