dzinampini/phishing-links-detection-using-transformers

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phishing-links-detection-using-transformers

This model is a fine-tuned version of distilbert-base-uncased on the Razvan27/remlaphishingurl dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1545
• —Precision: 0.9757
• —Recall: 0.9673
• —F1: 0.9715

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
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —distributed_type: tpu
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.51.3
• —Pytorch 2.6.0+cpu
• —Tokenizers 0.21.1