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

  • Train Loss: 1.5124
  • Train End Logits Accuracy: 0.6041
  • Train Start Logits Accuracy: 0.5680
  • Validation Loss: 1.1534
  • Validation End Logits Accuracy: 0.6849
  • Validation Start Logits Accuracy: 0.6443
  • Epoch: 0

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 11064, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Train End Logits Accuracy Train Start Logits Accuracy Validation Loss Validation End Logits Accuracy Validation Start Logits Accuracy Epoch
1.5124 0.6041 0.5680 1.1534 0.6849 0.6443 0

Framework versions

  • Transformers 4.21.0.dev0
  • TensorFlow 2.9.1
  • Datasets 2.3.3.dev0
  • Tokenizers 0.11.0
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