huynq3Cyradar/bert-large-finetuned-phishing-webpage-cleaned-version

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bert-large-finetuned-phishing-webpage-cleaned-version

This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0324
• —Accuracy: 0.9911
• —Precision: 0.9931
• —Recall: 0.9883
• —False Positive Rate: 0.0063

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
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 256
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 4
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.38.2
• —Pytorch 2.1.2
• —Datasets 2.18.0
• —Tokenizers 0.15.2