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roberta-model-english

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

  • Train Loss: 0.1140
  • Train Accuracy: 0.9596
  • Validation Loss: 0.2166
  • Validation Accuracy: 0.9301
  • Epoch: 2

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:

  • optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Train Accuracy Validation Loss Validation Accuracy Epoch
0.2922 0.8804 0.2054 0.9162 0
0.1710 0.9352 0.1879 0.9353 1
0.1140 0.9596 0.2166 0.9301 2

Framework versions

  • Transformers 4.16.2
  • TensorFlow 2.7.0
  • Tokenizers 0.11.0
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