tinyllama-lora-malicious-classifier

hurtmongoose/tinyllama-lora-malicious-classifier

tinyllama-lora-malicious-classifier is a machine learning model from hurtmongoose. 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: Nov 9, 2025
Updated: Nov 9, 2025
SHA: 4cd178e0

Base models

TinyLlama/TinyLlama_v1.1

Model card

From the Hugging Face model README

tinyllama-lora-malicious-classifier

This model is a fine-tuned version of TinyLlama/TinyLlama_v1.1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4833
Accuracy: 0.8289
Precision Weighted: 0.8220
Recall Weighted: 0.8289
F1 Weighted: 0.8239
Mcc: 0.7203
Balanced Accuracy: 0.7724
Macro Fnr: 0.2276
Macro Fpr: 0.0897
Macro Specificity: 0.9103
Per Class: {'jailbreaking': {'TP': 228, 'FP': 103, 'FN': 161, 'TN': 1437, 'FNR': 0.4138817480719794, 'FPR': 0.06688311688311688, 'Specificity': 0.9331168831168831}, 'prompt injection': {'TP': 439, 'FP': 112, 'FN': 131, 'TN': 1247, 'FNR': 0.22982456140350876, 'FPR': 0.08241353936718175, 'Specificity': 0.9175864606328182}, 'unharmful': {'TP': 932, 'FP': 115, 'FN': 38, 'TN': 844, 'FNR': 0.03917525773195876, 'FPR': 0.11991657977059438, 'Specificity': 0.8800834202294057}}

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision Weighted	Recall Weighted	F1 Weighted	Mcc	Balanced Accuracy	Macro Fnr	Macro Fpr	Macro Specificity	Per Class
1.0323	1.0	1107	1.0327	0.5702	0.5595	0.5702	0.5636	0.2924	0.5112	0.4888	0.2364	0.7636	{'jailbreaking': {'TP': 113, 'FP': 209, 'FN': 276, 'TN': 1331, 'FNR': 0.7095115681233933, 'FPR': 0.1357142857142857, 'Specificity': 0.8642857142857143}, 'prompt injection': {'TP': 312, 'FP': 238, 'FN': 258, 'TN': 1121, 'FNR': 0.45263157894736844, 'FPR': 0.1751287711552612, 'Specificity': 0.8248712288447387}, 'unharmful': {'TP': 675, 'FP': 382, 'FN': 295, 'TN': 577, 'FNR': 0.30412371134020616, 'FPR': 0.3983315954118874, 'Specificity': 0.6016684045881127}}
0.7496	2.0	2214	0.7073	0.7252	0.7112	0.7252	0.7144	0.5463	0.6529	0.3471	0.1502	0.8498	{'jailbreaking': {'TP': 154, 'FP': 132, 'FN': 235, 'TN': 1408, 'FNR': 0.6041131105398457, 'FPR': 0.08571428571428572, 'Specificity': 0.9142857142857143}, 'prompt injection': {'TP': 386, 'FP': 163, 'FN': 184, 'TN': 1196, 'FNR': 0.32280701754385965, 'FPR': 0.1199411331861663, 'Specificity': 0.8800588668138337}, 'unharmful': {'TP': 859, 'FP': 235, 'FN': 111, 'TN': 724, 'FNR': 0.11443298969072165, 'FPR': 0.24504692387904067, 'Specificity': 0.7549530761209593}}
0.5695	3.0	3321	0.6096	0.7766	0.7636	0.7766	0.7654	0.6323	0.7031	0.2969	0.1215	0.8785	{'jailbreaking': {'TP': 171, 'FP': 106, 'FN': 218, 'TN': 1434, 'FNR': 0.5604113110539846, 'FPR': 0.06883116883116883, 'Specificity': 0.9311688311688312}, 'prompt injection': {'TP': 417, 'FP': 141, 'FN': 153, 'TN': 1218, 'FNR': 0.26842105263157895, 'FPR': 0.10375275938189846, 'Specificity': 0.8962472406181016}, 'unharmful': {'TP': 910, 'FP': 184, 'FN': 60, 'TN': 775, 'FNR': 0.061855670103092786, 'FPR': 0.19186652763295098, 'Specificity': 0.808133472367049}}
0.5059	4.0	4428	0.5686	0.7926	0.7817	0.7926	0.7843	0.6596	0.7245	0.2755	0.1107	0.8893	{'jailbreaking': {'TP': 191, 'FP': 114, 'FN': 198, 'TN': 1426, 'FNR': 0.5089974293059126, 'FPR': 0.07402597402597402, 'Specificity': 0.925974025974026}, 'prompt injection': {'TP': 419, 'FP': 131, 'FN': 151, 'TN': 1228, 'FNR': 0.2649122807017544, 'FPR': 0.0963944076526858, 'Specificity': 0.9036055923473142}, 'unharmful': {'TP': 919, 'FP': 155, 'FN': 51, 'TN': 804, 'FNR': 0.05257731958762887, 'FPR': 0.1616266944734098, 'Specificity': 0.8383733055265902}}
0.4583	5.0	5535	0.5413	0.8056	0.7953	0.8056	0.7977	0.6812	0.7389	0.2611	0.1032	0.8968	{'jailbreaking': {'TP': 199, 'FP': 109, 'FN': 190, 'TN': 1431, 'FNR': 0.4884318766066838, 'FPR': 0.07077922077922078, 'Specificity': 0.9292207792207792}, 'prompt injection': {'TP': 426, 'FP': 126, 'FN': 144, 'TN': 1233, 'FNR': 0.25263157894736843, 'FPR': 0.09271523178807947, 'Specificity': 0.9072847682119205}, 'unharmful': {'TP': 929, 'FP': 140, 'FN': 41, 'TN': 819, 'FNR': 0.042268041237113405, 'FPR': 0.145985401459854, 'Specificity': 0.8540145985401459}}
0.4763	6.0	6642	0.5243	0.8113	0.8028	0.8113	0.8052	0.6910	0.7498	0.2502	0.0994	0.9006	{'jailbreaking': {'TP': 212, 'FP': 113, 'FN': 177, 'TN': 1427, 'FNR': 0.455012853470437, 'FPR': 0.07337662337662337, 'Specificity': 0.9266233766233766}, 'prompt injection': {'TP': 428, 'FP': 120, 'FN': 142, 'TN': 1239, 'FNR': 0.24912280701754386, 'FPR': 0.08830022075055188, 'Specificity': 0.9116997792494481}, 'unharmful': {'TP': 925, 'FP': 131, 'FN': 45, 'TN': 828, 'FNR': 0.04639175257731959, 'FPR': 0.13660062565172054, 'Specificity': 0.8633993743482794}}
0.4283	7.0	7749	0.5095	0.8170	0.8083	0.8170	0.8104	0.7003	0.7546	0.2454	0.0969	0.9031	{'jailbreaking': {'TP': 213, 'FP': 105, 'FN': 176, 'TN': 1435, 'FNR': 0.4524421593830334, 'FPR': 0.06818181818181818, 'Specificity': 0.9318181818181818}, 'prompt injection': {'TP': 430, 'FP': 118, 'FN': 140, 'TN': 1241, 'FNR': 0.24561403508771928, 'FPR': 0.08682855040470934, 'Specificity': 0.9131714495952906}, 'unharmful': {'TP': 933, 'FP': 130, 'FN': 37, 'TN': 829, 'FNR': 0.03814432989690722, 'FPR': 0.13555787278415016, 'Specificity': 0.8644421272158499}}
0.4119	8.0	8856	0.5033	0.8191	0.8116	0.8191	0.8135	0.7041	0.7592	0.2408	0.0951	0.9049	{'jailbreaking': {'TP': 223, 'FP': 118, 'FN': 166, 'TN': 1422, 'FNR': 0.4267352185089974, 'FPR': 0.07662337662337662, 'Specificity': 0.9233766233766234}, 'prompt injection': {'TP': 422, 'FP': 105, 'FN': 148, 'TN': 1254, 'FNR': 0.2596491228070175, 'FPR': 0.0772626931567329, 'Specificity': 0.9227373068432672}, 'unharmful': {'TP': 935, 'FP': 126, 'FN': 35, 'TN': 833, 'FNR': 0.03608247422680412, 'FPR': 0.13138686131386862, 'Specificity': 0.8686131386861314}}
0.412	9.0	9963	0.4955	0.8253	0.8178	0.8253	0.8199	0.7143	0.7671	0.2329	0.0916	0.9084	{'jailbreaking': {'TP': 222, 'FP': 103, 'FN': 167, 'TN': 1437, 'FNR': 0.42930591259640105, 'FPR': 0.06688311688311688, 'Specificity': 0.9331168831168831}, 'prompt injection': {'TP': 440, 'FP': 118, 'FN': 130, 'TN': 1241, 'FNR': 0.22807017543859648, 'FPR': 0.08682855040470934, 'Specificity': 0.9131714495952906}, 'unharmful': {'TP': 930, 'FP': 116, 'FN': 40, 'TN': 843, 'FNR': 0.041237113402061855, 'FPR': 0.12095933263816476, 'Specificity': 0.8790406673618353}}
0.496	10.0	11070	0.4926	0.8289	0.8214	0.8289	0.8232	0.7202	0.7703	0.2297	0.0903	0.9097	{'jailbreaking': {'TP': 224, 'FP': 98, 'FN': 165, 'TN': 1442, 'FNR': 0.4241645244215938, 'FPR': 0.06363636363636363, 'Specificity': 0.9363636363636364}, 'prompt injection': {'TP': 439, 'FP': 113, 'FN': 131, 'TN': 1246, 'FNR': 0.22982456140350876, 'FPR': 0.08314937454010302, 'Specificity': 0.9168506254598969}, 'unharmful': {'TP': 936, 'FP': 119, 'FN': 34, 'TN': 840, 'FNR': 0.03505154639175258, 'FPR': 0.12408759124087591, 'Specificity': 0.8759124087591241}}
0.428	11.0	12177	0.4890	0.8258	0.8191	0.8258	0.8207	0.7154	0.7677	0.2323	0.0913	0.9087	{'jailbreaking': {'TP': 230, 'FP': 117, 'FN': 159, 'TN': 1423, 'FNR': 0.4087403598971722, 'FPR': 0.07597402597402597, 'Specificity': 0.924025974025974}, 'prompt injection': {'TP': 424, 'FP': 99, 'FN': 146, 'TN': 1260, 'FNR': 0.256140350877193, 'FPR': 0.0728476821192053, 'Specificity': 0.9271523178807947}, 'unharmful': {'TP': 939, 'FP': 120, 'FN': 31, 'TN': 839, 'FNR': 0.031958762886597936, 'FPR': 0.1251303441084463, 'Specificity': 0.8748696558915537}}
0.4103	12.0	13284	0.4866	0.8269	0.8191	0.8269	0.8206	0.7166	0.7669	0.2331	0.0922	0.9078	{'jailbreaking': {'TP': 221, 'FP': 99, 'FN': 168, 'TN': 1441, 'FNR': 0.4318766066838046, 'FPR': 0.06428571428571428, 'Specificity': 0.9357142857142857}, 'prompt injection': {'TP': 437, 'FP': 107, 'FN': 133, 'TN': 1252, 'FNR': 0.23333333333333334, 'FPR': 0.07873436350257543, 'Specificity': 0.9212656364974245}, 'unharmful': {'TP': 937, 'FP': 128, 'FN': 33, 'TN': 831, 'FNR': 0.03402061855670103, 'FPR': 0.1334723670490094, 'Specificity': 0.8665276329509907}}
0.4009	13.0	14391	0.4833	0.8289	0.8220	0.8289	0.8239	0.7203	0.7724	0.2276	0.0897	0.9103	{'jailbreaking': {'TP': 228, 'FP': 103, 'FN': 161, 'TN': 1437, 'FNR': 0.4138817480719794, 'FPR': 0.06688311688311688, 'Specificity': 0.9331168831168831}, 'prompt injection': {'TP': 439, 'FP': 112, 'FN': 131, 'TN': 1247, 'FNR': 0.22982456140350876, 'FPR': 0.08241353936718175, 'Specificity': 0.9175864606328182}, 'unharmful': {'TP': 932, 'FP': 115, 'FN': 38, 'TN': 844, 'FNR': 0.03917525773195876, 'FPR': 0.11991657977059438, 'Specificity': 0.8800834202294057}}
0.4242	14.0	15498	0.4834	0.8284	0.8211	0.8284	0.8228	0.7193	0.7700	0.2300	0.0906	0.9094	{'jailbreaking': {'TP': 226, 'FP': 105, 'FN': 163, 'TN': 1435, 'FNR': 0.4190231362467866, 'FPR': 0.06818181818181818, 'Specificity': 0.9318181818181818}, 'prompt injection': {'TP': 435, 'FP': 104, 'FN': 135, 'TN': 1255, 'FNR': 0.23684210526315788, 'FPR': 0.07652685798381163, 'Specificity': 0.9234731420161884}, 'unharmful': {'TP': 937, 'FP': 122, 'FN': 33, 'TN': 837, 'FNR': 0.03402061855670103, 'FPR': 0.12721584984358708, 'Specificity': 0.872784150156413}}
0.3859	15.0	16605	0.4829	0.8269	0.8197	0.8269	0.8215	0.7168	0.7692	0.2308	0.0912	0.9088	{'jailbreaking': {'TP': 226, 'FP': 106, 'FN': 163, 'TN': 1434, 'FNR': 0.4190231362467866, 'FPR': 0.06883116883116883, 'Specificity': 0.9311688311688312}, 'prompt injection': {'TP': 436, 'FP': 107, 'FN': 134, 'TN': 1252, 'FNR': 0.23508771929824562, 'FPR': 0.07873436350257543, 'Specificity': 0.9212656364974245}, 'unharmful': {'TP': 933, 'FP': 121, 'FN': 37, 'TN': 838, 'FNR': 0.03814432989690722, 'FPR': 0.1261730969760167, 'Specificity': 0.8738269030239834}}

Framework versions

PEFT 0.17.1
Transformers 4.53.3
Pytorch 2.6.0+cu124
Datasets 4.3.0
Tokenizers 0.21.4

Library: peft
License: apache-2.0
Created: Nov 9, 2025
Updated: Nov 9, 2025