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AustinCarthy/
MixGPT2V2_domain_100KP_BFall_fromP_95K_topP_0.75_ratio2.63

tensorboard

generated_from_trainer

apache-2.0

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MixGPT2V2_domain_100KP_BFall_fromP_95K_topP_0.75_ratio2.63

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_0.75domain dataset. It achieves the following results on the evaluation set:

Loss: 0.0437
Accuracy: 0.9977
F1: 0.9749
Precision: 0.9990
Recall: 0.952
Roc Auc Score: 0.9760
Tpr At Fpr 0.01: 0.9566

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
0.0209	1.0	11061	0.0374	0.9974	0.9719	0.9902	0.9542	0.9769	0.9004
0.013	2.0	22122	0.0702	0.9954	0.9499	0.9976	0.9066	0.9532	0.8978
0.0031	3.0	33183	0.0449	0.9975	0.9726	0.9992	0.9474	0.9737	0.9504
0.0017	4.0	44244	0.0360	0.9979	0.9780	0.9975	0.9592	0.9795	0.954
0.0	5.0	55305	0.0437	0.9977	0.9749	0.9990	0.952	0.9760	0.9566

Framework versions

Transformers 4.30.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3

AustinCarthy/MixGPT2V2_domain_100KP_BFall_fromP_95K_topP_0.75_ratio2.63

MixGPT2V2_domain_100KP_BFall_fromP_95K_topP_0.75_ratio2.63

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AustinCarthy/
MixGPT2V2_domain_100KP_BFall_fromP_95K_topP_0.75_ratio2.63