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JasperLS/deberta-v3-base-injection

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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deberta-v3-base-injection

This model is a fine-tuned version of microsoft/deberta-v3-base on the promp-injection dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0673
  • Accuracy: 0.9914

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
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 3

Training results

Training LossEpochStepValidation LossAccuracy
No log1.0690.23530.9741
No log2.01380.08940.9741
No log3.02070.06730.9914

Framework versions

  • Transformers 4.29.1
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3