distilbert-base-uncased-deepset-promptinjection

cyrp/distilbert-base-uncased-deepset-promptinjection

distilbert-base-uncased-deepset-promptinjection is a machine learning model from cyrp. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Sep 25, 2024
Updated: Sep 25, 2024
SHA: 25ce32b4

Base models

Model card

From the Hugging Face model README

distilbert-base-uncased-deepset-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: 0.2113
F1: 0.9569
Auprc: 0.9799

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
No log	1.0	69	0.1637	0.9223	0.9584
No log	2.0	138	0.2365	0.9569	0.9799
No log	3.0	207	0.1913	0.9655	0.9839
No log	4.0	276	0.2257	0.9569	0.9799
No log	5.0	345	0.2113	0.9569	0.9799

Framework versions

PEFT 0.11.1
Transformers 4.40.2
Pytorch 2.3.0+cu118
Datasets 2.19.2
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: Sep 25, 2024
Updated: Sep 25, 2024