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majorprojectmalware/malware-detection-model-v2

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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malware-detection-model-v2

This model is a fine-tuned version of majorprojectmalware/malware-detection-model on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0007
  • Accuracy: 1.0

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: 5e-06
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: linear
  • num_epochs: 2

Training results

Training LossEpochStepValidation LossAccuracy
0.00631.06500.00111.0
0.00192.013000.00071.0

Framework versions

  • Transformers 4.50.2
  • Pytorch 2.6.0+cu124
  • Datasets 3.5.0
  • Tokenizers 0.21.1