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