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---
license: apache-2.0
base_model: ProtectAI/deberta-v3-base-prompt-injection
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta_fine_tuned
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. -->
# deberta_fine_tuned
This model is a fine-tuned version of [ProtectAI/deberta-v3-base-prompt-injection](https://huggingface.co/ProtectAI/deberta-v3-base-prompt-injection) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0518
- Accuracy: 0.9932
## 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: 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: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.0229 | 1.0 | 4912 | 0.0296 | 0.9948 |
| 0.0135 | 2.0 | 9824 | 0.0231 | 0.9973 |
| 0.0136 | 3.0 | 14736 | 0.0260 | 0.9966 |
### Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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