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runningsnake/bert-base-sequence-classification

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: 0.0825
  • Train Accuracy: 0.9766
  • Validation Loss: 0.5064
  • Validation Accuracy: 0.8431
  • Epoch: 2

Model description

More information needed

Intended uses & limitations

More information needed

How to use

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Limitations and bias

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Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1377, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, '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
0.2559 0.9057 0.5082 0.8211 0
0.1004 0.9673 0.5064 0.8431 1
0.0825 0.9766 0.5064 0.8431 2

Framework versions

  • Transformers 4.31.0
  • TensorFlow 2.12.0
  • Datasets 2.14.0
  • Tokenizers 0.13.3

Evaluation results

More information needed

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