stereotype_finetuned_3_class_jailbreak

This model is a fine-tuned version of wu981526092/Sentence-Level-Stereotype-Detector on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3321
• Accuracy: 0.9647

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: 5e-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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2493	1.0	526	0.1518	0.9526
0.1115	2.0	1052	0.1791	0.9555
0.0539	3.0	1578	0.2281	0.9590
0.0349	4.0	2104	0.2549	0.9587
0.026	5.0	2630	0.2888	0.9612
0.0096	6.0	3156	0.3121	0.9626
0.0067	7.0	3682	0.3401	0.9601
0.0059	8.0	4208	0.2992	0.9594
0.0108	9.0	4734	0.3204	0.9604
0.0075	10.0	5260	0.2747	0.9651
0.0036	11.0	5786	0.3540	0.9615
0.003	12.0	6312	0.3233	0.9629
0.0018	13.0	6838	0.3267	0.9629
0.0001	14.0	7364	0.3310	0.9647
0.0022	15.0	7890	0.3321	0.9647

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0
• Datasets 2.21.0
• Tokenizers 0.19.1