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rizkyramadhana26/distilbert-base-uncased-sqli-classifier

sourceHugging Faceapache-2.0updated 10mo agoView on Hugging Face
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Model Card

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distilbert-base-uncased-sqli-classifier

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

  • —Loss: 0.0104
  • —Accuracy: 0.9987

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: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 3

Training results

Training LossEpochStepValidation LossAccuracy
0.03971.07730.00950.9982
0.00152.015460.01030.9987
0.00193.023190.01040.9987

Framework versions

  • —Transformers 4.46.3
  • —Pytorch 2.4.1+cu121
  • —Datasets 3.1.0
  • —Tokenizers 0.20.3