CoolFace
Modelpublic

AustinCarthy/Base_10Kphish_benignFall_IL_10K_OnlyPhish_10K_from_benign_top_p_0.75

sourceHugging Faceupdated 3y agoView on Hugging Face
0likes6downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

Base10KphishbenignFallIL10KOnlyPhish10Kfrombenigntopp_0.75

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1123
  • —Accuracy: 0.9899
  • —F1: 0.8810
  • —Precision: 0.9985
  • —Recall: 0.7882
  • —Roc Auc Score: 0.8941
  • —Tpr At Fpr 0.01: 0.8132

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

Training LossEpochStepValidation LossAccuracyF1PrecisionRecallRoc Auc ScoreTpr At Fpr 0.01
0.00681.065630.05310.98940.87560.99340.78280.89130.7264
0.00422.0131260.07470.98940.87540.99620.78080.89030.7666
0.00153.0196890.06480.99040.88870.99830.80080.90040.8088
0.00084.0262520.08610.99120.89830.99800.81660.90830.831
0.05.0328150.11230.98990.88100.99850.78820.89410.8132

Framework versions

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