CoolFace
Modelpublic

palash247/results

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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results

This model is a fine-tuned version of protectai/deberta-v3-base-prompt-injection-v2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.5060

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: 5

Training results

Training LossEpochStepValidation Loss
1.60641.0541.6097
1.622.01081.6100
1.60593.01621.6076
1.57344.02161.5249
1.54445.02701.5060

Framework versions

  • —Transformers 4.44.2
  • —Pytorch 2.4.1+cu121
  • —Datasets 3.0.1
  • —Tokenizers 0.19.1