MALWARE-URL-DETECT

With this model, it detects harmful links created to harm people such as phishing in Turkey. Classifies url addresses as malware and benign. Type the domain name of the url address in the text field for classification in API: Like this: "huggingface.com"
To test the model, visit USOM. Harmful links used in Turkey are shared up-to-date on this site.

This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2122
• Accuracy: 0.945
• Precision: 0.9611
• Recall: 0.9287
• F1: 0.9446

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: 5e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	63	0.2153	0.921	0.9953	0.8475	0.9155
No log	2.0	126	0.1927	0.946	0.9669	0.9248	0.9453
No log	3.0	189	0.2122	0.945	0.9611	0.9287	0.9446

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3