toan_phishing

hoanganhvu/toan_phishing

toan_phishing is a machine learning model from hoanganhvu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

License: apache-2.0
Model type: bert
Access: Public
Created: Sep 7, 2024
Updated: Sep 8, 2024
SHA: a9b115fd

Base models

Model card

From the Hugging Face model README

toan_phishing

This model is a fine-tuned version of bert-large-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3307
Accuracy: 0.9825
Precision: 0.9822
Recall: 0.9828
False Positive Rate: 0.0178

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: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	False Positive Rate
0.355	1.0	3025	0.3506	0.9625	0.9753	0.9491	0.0240
0.3533	2.0	6050	0.3486	0.9641	0.9837	0.9438	0.0156
0.393	3.0	9075	0.3523	0.9609	0.9863	0.9348	0.0130
0.3311	4.0	12100	0.3307	0.9825	0.9822	0.9828	0.0178

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

Type: bert
License: apache-2.0
Created: Sep 7, 2024
Updated: Sep 8, 2024