AustinCarthy/Baseline_40Kphish_benignFall_20_20_20

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Baseline40KphishbenignFall2020_20

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

• —Loss: 0.0374
• —Accuracy: 0.9958
• —F1: 0.9536
• —Precision: 0.9985
• —Recall: 0.9126
• —Roc Auc Score: 0.9563
• —Tpr At Fpr 0.01: 0.9268

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
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.29.1
• —Pytorch 1.9.0+cu111
• —Datasets 2.10.1
• —Tokenizers 0.13.2