metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: distilbert-base-uncased
metrics:
- f1
model-index:
- name: distilbert-base-uncased-lora-text-classification-safeguard-promptinjection
results: []
distilbert-base-uncased-lora-text-classification-safeguard-promptinjection
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0200
- F1: 0.9971
- Auprc: 0.9966
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: 0.001
- 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 | F1 | Auprc |
|---|---|---|---|---|---|
| 0.0598 | 1.0 | 1030 | 0.0220 | 0.9961 | 0.9946 |
| 0.0273 | 2.0 | 2060 | 0.0199 | 0.9961 | 0.9946 |
| 0.0321 | 3.0 | 3090 | 0.0334 | 0.9951 | 0.9945 |
| 0.0099 | 4.0 | 4120 | 0.0345 | 0.9937 | 0.9929 |
| 0.0059 | 5.0 | 5150 | 0.0200 | 0.9971 | 0.9966 |
Framework versions
- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.3.0+cu118
- Datasets 2.19.2
- Tokenizers 0.19.1