distilbert-base-uncased-lora-text-classification-toxicchat-jailbreak – AI Model by cyrp | AlphaNeural AI

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distilbert-base-uncased-lora-text-classification-toxicchat-jailbreak

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distilbert/distilbert-base-uncased

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distilbert-base-uncased-lora-text-classification-toxicchat-jailbreak

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: 0.0311
F1: 0.9936
Auprc: 0.8224

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
0.088	1.0	636	0.0273	0.9934	0.8172
0.0436	2.0	1272	0.0372	0.9933	0.8174
0.0288	3.0	1908	0.0290	0.9920	0.7779
0.0154	4.0	2544	0.0324	0.9920	0.7978
0.0108	5.0	3180	0.0311	0.9936	0.8224

Framework versions

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