Edit model card

bert-model-english1

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

  • Train Loss: 0.0274
  • Train Accuracy: 0.9914
  • Validation Loss: 0.3493
  • Validation Accuracy: 0.9303
  • 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
0.0366 0.9885 0.3013 0.9299 0
0.0261 0.9912 0.3445 0.9351 1
0.0274 0.9914 0.3493 0.9303 2

Framework versions

  • Transformers 4.16.2
  • TensorFlow 2.7.0
  • Datasets 1.18.3
  • Tokenizers 0.11.0
Downloads last month
25