aisuko/phishing-binary-classification

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phishing-binary-classification

This model is a fine-tuned version of openai-community/roberta-large-openai-detector on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2813
• —Accuracy: 0.882
• —Auc: 0.954

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: 0.0002
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.45.1
• —Pytorch 2.4.0
• —Datasets 3.0.1
• —Tokenizers 0.20.0