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antonryoung02/deberta-v3-small-essay-grading-classification

sourceHugging Faceupdated 2y agoView on Hugging Face
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Model Card

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deberta-v3-small-essay-grading-classification

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8790
  • Qwk: 0.7595

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 LossQwk
No log1.04330.94950.7132
1.02662.08660.87870.7561
1.02663.012990.87900.7595

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2