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endorlabs/malicious-package-classifier-bert-weighted-balanced

sourceHugging Faceupdated 2y agoView on Hugging Face
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Model Card

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malicious-package-classifier-bert-weighted-balanced

This model is a fine-tuned version of microsoft/codebert-base-mlm on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0285

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-05
  • —trainbatchsize: 140
  • —evalbatchsize: 140
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 15

Training results

Training LossEpochStepValidation Loss
0.02031.0247280.0412
0.03022.0494560.0285
0.01973.0741840.0290
0.0124.0989120.0345
0.01475.01236400.0408

Framework versions

  • —PEFT 0.10.0
  • —Transformers 4.39.3
  • —Pytorch 2.2.2+cu121
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2