badokorach/bert-finetuned-210124
This model is a fine-tuned version of mrm8488/bert-small-finetuned-squadv2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.1458
- Validation Loss: 0.0
- Epoch: 13
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': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 1380, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.02}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 2.8157 | 0.0 | 0 |
| 2.4117 | 0.0 | 1 |
| 2.1810 | 0.0 | 2 |
| 1.9909 | 0.0 | 3 |
| 1.8301 | 0.0 | 4 |
| 1.6953 | 0.0 | 5 |
| 1.5453 | 0.0 | 6 |
| 1.4613 | 0.0 | 7 |
| 1.3860 | 0.0 | 8 |
| 1.2981 | 0.0 | 9 |
| 1.2431 | 0.0 | 10 |
| 1.2023 | 0.0 | 11 |
| 1.1627 | 0.0 | 12 |
| 1.1458 | 0.0 | 13 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.0