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AustinCarthy/
Baseline_100Kphish_benignFall_5_20_20

Name: Baseline_100Kphish_benignFall_5_20_20
Availability: InStock

tensorboard

generated_from_trainer

apache-2.0

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Baseline_100Kphish_benignFall_5_20_20

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_200K_top_p_0.75 dataset. It achieves the following results on the evaluation set:

Loss: 0.0216
Accuracy: 0.9976
F1: 0.9745
Precision: 0.9989
Recall: 0.9512
Roc Auc Score: 0.9756
Tpr At Fpr 0.01: 0.9544

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
0.0079	1.0	18750	0.0117	0.9976	0.9749	0.9923	0.958	0.9788	0.876
0.0057	2.0	37500	0.0255	0.9955	0.9509	0.9987	0.9074	0.9537	0.926
0.0025	3.0	56250	0.0166	0.9976	0.9748	0.9967	0.9538	0.9768	0.948
0.0016	4.0	75000	0.0187	0.9978	0.9765	0.9956	0.958	0.9789	0.9468
0.0008	5.0	93750	0.0216	0.9976	0.9745	0.9989	0.9512	0.9756	0.9544

Framework versions

Transformers 4.29.1
Pytorch 1.9.0+cu111
Datasets 2.10.1
Tokenizers 0.13.2

AustinCarthy/Baseline_100Kphish_benignFall_5_20_20

Baseline_100Kphish_benignFall_5_20_20

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AustinCarthy/
Baseline_100Kphish_benignFall_5_20_20