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leomaurodesenv/roberta-base-trustairlab-jailbreak-augmented

sourceHugging Facemitupdated 10d agoView on Hugging Face
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Model Card

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roberta-base-trustairlab-jailbreak-augmented

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

  • Loss: 0.1497
  • Accuracy: 0.9564

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: 8
  • evalbatchsize: 8
  • seed: 42
  • gradientaccumulationsteps: 2
  • totaltrainbatch_size: 16
  • optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 50
  • num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
0.70891.042400.24270.9236
0.20552.084800.19810.9365
0.10623.0127200.19400.9459
0.22294.0169600.18550.9521
0.32775.0212000.14980.9559
0.21196.0254400.16070.9595
0.09577.0296800.16730.9591
0.04218.0339200.17940.9594

Framework versions

  • Transformers 5.2.0
  • Pytorch 2.10.0+cu128
  • Datasets 4.5.0
  • Tokenizers 0.22.2