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gelectra-base-injection-pt_v1
JasperLS/gelectra-base-injection-pt_v1
gelectra-base-injection-pt_v1 is a text classification model from JasperLS. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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Model card
From the Hugging Face model README
<!-- 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 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
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- License
- mit
- Created
- Apr 6, 2023
- Updated
- Sep 11, 2023