metadata
license: mit
base_model: microsoft/deberta-v3-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Prompt-Guard-finetuned-ctf-86M
results: []
Prompt-Guard-finetuned-ctf-86M
This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0226
- Accuracy: 0.9964
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0291 | 1.0 | 2346 | 0.0315 | 0.9953 |
| 0.0222 | 2.0 | 4692 | 0.0318 | 0.9953 |
| 0.0081 | 3.0 | 7038 | 0.0226 | 0.9964 |
| 0.0032 | 4.0 | 9384 | 0.0329 | 0.9966 |
| 0.0031 | 5.0 | 11730 | 0.0352 | 0.9957 |
| 0.0039 | 6.0 | 14076 | 0.0242 | 0.9974 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.5.0+cu124
- Datasets 2.18.0
- Tokenizers 0.19.1