metadata
license: mit
base_model: microsoft/mdeberta-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/mdeberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0921
- Accuracy: 0.9821
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6515 | 1.0 | 57 | 0.7140 | 0.4643 |
| 0.5774 | 2.0 | 114 | 0.5967 | 0.5848 |
| 0.4838 | 3.0 | 171 | 0.4644 | 0.8661 |
| 0.4139 | 4.0 | 228 | 0.3317 | 0.9196 |
| 0.308 | 5.0 | 285 | 0.2373 | 0.9420 |
| 0.3184 | 6.0 | 342 | 0.2032 | 0.9464 |
| 0.2798 | 7.0 | 399 | 0.1511 | 0.9643 |
| 0.2094 | 8.0 | 456 | 0.1347 | 0.9643 |
| 0.1627 | 9.0 | 513 | 0.0921 | 0.9821 |
| 0.1539 | 10.0 | 570 | 0.0948 | 0.9777 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.5.0+cu124
- Datasets 2.18.0
- Tokenizers 0.19.1