badokorach/bert-finetuned-squad-4
This model is a fine-tuned version of badokorach/bert-finetuned-squad-3 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0012
- Epoch: 29
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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1950, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16
Training results
| Train Loss | Epoch |
|---|---|
| 0.0271 | 0 |
| 0.0357 | 1 |
| 0.0392 | 2 |
| 0.0149 | 3 |
| 0.0136 | 4 |
| 0.0092 | 5 |
| 0.0107 | 6 |
| 0.0275 | 7 |
| 0.0256 | 8 |
| 0.0184 | 9 |
| 0.0110 | 10 |
| 0.0099 | 11 |
| 0.0056 | 12 |
| 0.0049 | 13 |
| 0.0111 | 14 |
| 0.0024 | 15 |
| 0.0031 | 16 |
| 0.0028 | 17 |
| 0.0028 | 18 |
| 0.0017 | 19 |
| 0.0014 | 20 |
| 0.0037 | 21 |
| 0.0019 | 22 |
| 0.0024 | 23 |
| 0.0013 | 24 |
| 0.0022 | 25 |
| 0.0013 | 26 |
| 0.0015 | 27 |
| 0.0009 | 28 |
| 0.0012 | 29 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.14.3
- Tokenizers 0.13.3