metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: gelectra-base-injection-pt_v1
results: []
gelectra-base-injection-pt_v1
This model is a fine-tuned version of 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