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AustinCarthy/
MixGPT2V2_subdomain_100KP_BFall_fromP_95K_topP_0.75_ratio5

Name: MixGPT2V2_subdomain_100KP_BFall_fromP_95K_topP_0.75_ratio5
Availability: InStock

tensorboard

generated_from_trainer

apache-2.0

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MixGPT2V2_subdomain_100KP_BFall_fromP_95K_topP_0.75_ratio5

This model is a fine-tuned version of bert-base-uncased on the Train benign: Fall,Test Benign: Fall, Train phish: Fall, Test phish: Fall, generated url dataset: generated_phish_MixGPT2V2_using_phish_95K_top_p_0.75subdomain dataset. It achieves the following results on the evaluation set:

Loss: 0.0449
Accuracy: 0.9977
F1: 0.9757
Precision: 0.9990
Recall: 0.9536
Roc Auc Score: 0.9768
Tpr At Fpr 0.01: 0.96

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc Score	Tpr At Fpr 0.01
0.0184	1.0	18282	0.0527	0.9965	0.9618	0.9978	0.9282	0.9641	0.9278
0.0092	2.0	36564	0.0574	0.9966	0.9625	0.9981	0.9294	0.9647	0.9342
0.0052	3.0	54846	0.0422	0.9974	0.9722	0.9987	0.947	0.9735	0.9532
0.0013	4.0	73128	0.0404	0.9979	0.9771	0.9981	0.957	0.9785	0.9576
0.0006	5.0	91410	0.0449	0.9977	0.9757	0.9990	0.9536	0.9768	0.96

Framework versions

Transformers 4.30.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3

AustinCarthy/MixGPT2V2_subdomain_100KP_BFall_fromP_95K_topP_0.75_ratio5

MixGPT2V2_subdomain_100KP_BFall_fromP_95K_topP_0.75_ratio5

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AustinCarthy/
MixGPT2V2_subdomain_100KP_BFall_fromP_95K_topP_0.75_ratio5