badokorach/bert-finetuned-squad-2
This model is a fine-tuned version of badokorach/bert-finetuned-squad on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0321
- Epoch: 19
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': 1300, '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: mixed_float16
Training results
| Train Loss | Epoch |
|---|---|
| 2.5929 | 0 |
| 2.0035 | 1 |
| 1.5695 | 2 |
| 1.2195 | 3 |
| 0.8813 | 4 |
| 0.6352 | 5 |
| 0.4423 | 6 |
| 0.2866 | 7 |
| 0.2029 | 8 |
| 0.1448 | 9 |
| 0.1142 | 10 |
| 0.0858 | 11 |
| 0.0630 | 12 |
| 0.0480 | 13 |
| 0.0413 | 14 |
| 0.0359 | 15 |
| 0.0379 | 16 |
| 0.0344 | 17 |
| 0.0299 | 18 |
| 0.0321 | 19 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.14.3
- Tokenizers 0.13.3