| license: mit | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| base_model: deepset/gelectra-base | |
| model-index: | |
| - name: gelectra-base-injection-pt_v1 | |
| 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. --> | |
| # gelectra-base-injection-pt_v1 | |
| DEPRECATED - PLEASE USE NEWER GELECTRA OR DEBERTA VERSION | |
| This model is a fine-tuned version of [deepset/gelectra-base](https://huggingface.co/deepset/gelectra-base) on a closed prompt injection dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0163 | |
| - Accuracy: 1.0 | |
| ## Model description | |
| The model classifies prompts as injections or legitimate questions. | |
| ## 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: 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: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | No log | 1.0 | 45 | 0.2042 | 0.9211 | | |
| | No log | 2.0 | 90 | 0.0247 | 1.0 | | |
| | No log | 3.0 | 135 | 0.0163 | 1.0 | | |
| ### Framework versions | |
| - Transformers 4.27.4 | |
| - Pytorch 2.0.0+cu118 | |
| - Tokenizers 0.13.3 | |