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AustinCarthy/
OnlyPhishGPT2_subdomain_100KP_BFall_fromB_90K_topP_0.75_ratio2.63

tensorboard

generated_from_trainer

apache-2.0

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OnlyPhishGPT2_subdomain_100KP_BFall_fromB_90K_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_OnlyPhishGPT2_using_benigh_200K_top_p_0.75 dataset. It achieves the following results on the evaluation set:

Loss: 0.0187
Accuracy: 0.9980
F1: 0.9791
Precision: 0.9967
Recall: 0.9622
Roc Auc Score: 0.9810
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: 32
eval_batch_size: 32
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
0.0082	1.0	21554	0.0150	0.9968	0.9658	0.9964	0.937	0.9684	0.9284
0.0048	2.0	43108	0.0103	0.9979	0.9772	0.9944	0.9606	0.9802	0.9442
0.0025	3.0	64662	0.0157	0.9980	0.9788	0.9952	0.9628	0.9813	0.9552
0.0012	4.0	86216	0.0177	0.9979	0.9774	0.9979	0.9578	0.9789	0.9562
0.0	5.0	107770	0.0187	0.9980	0.9791	0.9967	0.9622	0.9810	0.96

Framework versions

Transformers 4.30.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3

AustinCarthy/OnlyPhishGPT2_subdomain_100KP_BFall_fromB_90K_topP_0.75_ratio2.63

OnlyPhishGPT2_subdomain_100KP_BFall_fromB_90K_topP_0.75_ratio2.63

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AustinCarthy/
OnlyPhishGPT2_subdomain_100KP_BFall_fromB_90K_topP_0.75_ratio2.63