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AustinCarthy/
Benign10MGPT2_suffix_100KP_BFall_fromP_90K_topP_0.75_ratio5

Name: Benign10MGPT2_suffix_100KP_BFall_fromP_90K_topP_0.75_ratio5
Availability: InStock

tensorboard

generated_from_trainer

apache-2.0

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Benign10MGPT2_suffix_100KP_BFall_fromP_90K_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_Benign10MGPT2_using_phish_95K_top_p_0.75suffix dataset. It achieves the following results on the evaluation set:

Loss: 0.0237
Accuracy: 0.9974
F1: 0.9721
Precision: 0.9981
Recall: 0.9474
Roc Auc Score: 0.9737
Tpr At Fpr 0.01: 0.9508

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
0.0067	1.0	35625	0.0182	0.9962	0.9584	0.9946	0.9248	0.9623	0.9022
0.0043	2.0	71250	0.0174	0.997	0.9677	0.9941	0.9426	0.9712	0.9192
0.0031	3.0	106875	0.0216	0.9972	0.9699	0.9968	0.9444	0.9721	0.9328
0.0004	4.0	142500	0.0221	0.9973	0.9706	0.9979	0.9448	0.9723	0.9444
0.0	5.0	178125	0.0237	0.9974	0.9721	0.9981	0.9474	0.9737	0.9508

Framework versions

Transformers 4.30.2
Pytorch 2.0.0+cu118
Datasets 2.13.1
Tokenizers 0.13.3

AustinCarthy/Benign10MGPT2_suffix_100KP_BFall_fromP_90K_topP_0.75_ratio5

Benign10MGPT2_suffix_100KP_BFall_fromP_90K_topP_0.75_ratio5

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AustinCarthy/
Benign10MGPT2_suffix_100KP_BFall_fromP_90K_topP_0.75_ratio5