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ygory/roberta-base-on-cuad-finetuned-squad

sourceHugging Faceupdated 2y agoView on Hugging Face
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roberta-base-on-cuad-finetuned-squad

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

  • —Loss: 0.0762

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 2

Training results

Training LossEpochStepValidation Loss
0.15330.1142500.1032
0.1070.22831000.0823
0.13110.34251500.0666
0.14810.45662000.0836
0.0820.57082500.0912
0.04740.68493000.0775
0.11090.79913500.0721
0.09010.91324000.0709
0.07651.02744500.0771
0.08941.14165000.0616
0.05911.25575500.0602
0.06521.36996000.0683
0.06771.48406500.0678
0.0371.59827000.0775
0.02931.71237500.0761
0.02571.82658000.0783
0.01341.94068500.0762

Framework versions

  • —Transformers 4.42.4
  • —Pytorch 2.3.1+cu121
  • —Datasets 2.21.0
  • —Tokenizers 0.19.1