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metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: deberta-v3-base-injection
    results: []

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
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 69 0.2353 0.9741
No log 2.0 138 0.0894 0.9741
No log 3.0 207 0.0673 0.9914

Framework versions

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