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Lifehouse/distilbert-sql-timeout-classifier-2024022823

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

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distilbert-sql-timeout-classifier-2024022823

This model was trained from scratch on the generator dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.6255
  • —Accuracy: 0.8432

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

Training results

Training LossEpochStepValidation LossAccuracy
0.30761.07020.44570.8545
0.1392.014040.52910.8296
0.08073.021060.62550.8432

Framework versions

  • —Transformers 4.38.1
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.17.1
  • —Tokenizers 0.15.2