abhijeet393/myner-1
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: 0.0041
- Validation Loss: 0.0685
- Epoch: 9
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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 4390, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 0.2267 | 0.0652 | 0 |
| 0.0536 | 0.0577 | 1 |
| 0.0323 | 0.0580 | 2 |
| 0.0208 | 0.0609 | 3 |
| 0.0152 | 0.0669 | 4 |
| 0.0105 | 0.0646 | 5 |
| 0.0073 | 0.0650 | 6 |
| 0.0059 | 0.0677 | 7 |
| 0.0049 | 0.0697 | 8 |
| 0.0041 | 0.0685 | 9 |
Framework versions
- Transformers 4.33.1
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3