metadata
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: []
results
This model is a fine-tuned version of 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