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AustinCarthy/
Onlyphish_100KP_BFall_fromB_40KGen_topP_0.75_noaddedB

Name: Onlyphish_100KP_BFall_fromB_40KGen_topP_0.75_noaddedB
Availability: InStock

tensorboard

generated_from_trainer

apache-2.0

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Onlyphish_100KP_BFall_fromB_40KGen_topP_0.75_noaddedB

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_benign_40K_top_p_0.75 dataset. It achieves the following results on the evaluation set:

Loss: 0.0177
Accuracy: 0.9976
F1: 0.9746
Precision: 0.9994
Recall: 0.951
Roc Auc Score: 0.9755
Tpr At Fpr 0.01: 0.965

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
0.0034	1.0	66875	0.0124	0.9970	0.9680	0.9926	0.9446	0.9721	0.9258
0.0015	2.0	133750	0.0227	0.9969	0.9667	0.9974	0.9378	0.9688	0.9346
0.0011	3.0	200625	0.0224	0.9969	0.9669	0.9991	0.9366	0.9683	0.9476
0.0005	4.0	267500	0.0200	0.9975	0.9731	0.9992	0.9484	0.9742	0.9618
0.0006	5.0	334375	0.0177	0.9976	0.9746	0.9994	0.951	0.9755	0.965

Framework versions

Transformers 4.29.1
Pytorch 1.9.0+cu111
Datasets 2.10.1
Tokenizers 0.13.2

AustinCarthy/Onlyphish_100KP_BFall_fromB_40KGen_topP_0.75_noaddedB

Onlyphish_100KP_BFall_fromB_40KGen_topP_0.75_noaddedB

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AustinCarthy/
Onlyphish_100KP_BFall_fromB_40KGen_topP_0.75_noaddedB