<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->
mrmoor/cti-bert-ner
This model is a fine-tuned version of mrmoor/cti-bert-mlm on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1491
- Validation Loss: 0.3715
- Epoch: 6
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 82800, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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 |
|---|---|---|
| 0.6883 | 0.5161 | 0 |
| 0.4567 | 0.4283 | 1 |
| 0.3420 | 0.3810 | 2 |
| 0.2688 | 0.3845 | 3 |
| 0.2144 | 0.3669 | 4 |
| 0.1788 | 0.3881 | 5 |
| 0.1491 | 0.3715 | 6 |
Framework versions
- Transformers 4.23.1
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.1
