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tmp9eavpdw4

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

  • Train Loss: 0.1333
  • Train Accuracy: 0.9487
  • Validation Loss: 0.7282
  • Validation Accuracy: 0.7929
  • Epoch: 1

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', 'clipnorm': 1.0, 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Train Accuracy Validation Loss Validation Accuracy Epoch
0.3768 0.8296 0.4746 0.8159 0
0.1333 0.9487 0.7282 0.7929 1

Framework versions

  • Transformers 4.17.0
  • TensorFlow 2.8.0
  • Tokenizers 0.11.6
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