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AustinCarthy/
MixGPT2_Domain_100KP_BFall_fromB_100K_topP_0.75_ratio5

tensorboard

generated_from_trainer

apache-2.0

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MixGPT2_Domain_100KP_BFall_fromB_100K_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_MixGPT2_using_benign_100K_top_p_0.75_domain dataset. It achieves the following results on the evaluation set:

Loss: 0.0165
Accuracy: 0.9974
F1: 0.9719
Precision: 0.9911
Recall: 0.9534
Roc Auc Score: 0.9765
Tpr At Fpr 0.01: 0.0

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc Score	Tpr At Fpr 0.01
0.0157	1.0	37500	0.0149	0.9967	0.9650	0.9680	0.962	0.9802	0.7518
0.0091	2.0	75000	0.0137	0.9972	0.9699	0.9775	0.9624	0.9806	0.0
0.004	3.0	112500	0.0219	0.9970	0.9675	0.9902	0.9458	0.9727	0.9148
0.0038	4.0	150000	0.0180	0.9975	0.9737	0.9867	0.961	0.9802	0.0
0.0007	5.0	187500	0.0165	0.9974	0.9719	0.9911	0.9534	0.9765	0.0

Framework versions

Transformers 4.29.1
Pytorch 1.9.0+cu111
Datasets 2.10.1
Tokenizers 0.13.2

AustinCarthy/MixGPT2_Domain_100KP_BFall_fromB_100K_topP_0.75_ratio5

MixGPT2_Domain_100KP_BFall_fromB_100K_topP_0.75_ratio5

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AustinCarthy/
MixGPT2_Domain_100KP_BFall_fromB_100K_topP_0.75_ratio5