---
library_name: transformers
license: apache-2.0
base_model: protectai/deberta-v3-base-prompt-injection-v2
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [protectai/deberta-v3-base-prompt-injection-v2](https://huggingface.co/protectai/deberta-v3-base-prompt-injection-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5060

## 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: 2e-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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6064        | 1.0   | 54   | 1.6097          |
| 1.62          | 2.0   | 108  | 1.6100          |
| 1.6059        | 3.0   | 162  | 1.6076          |
| 1.5734        | 4.0   | 216  | 1.5249          |
| 1.5444        | 5.0   | 270  | 1.5060          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1