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badokorach/bert-finetuned-squad-1
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0002
- 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 45240, '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: mixed_float16
Training results
| Train Loss | Epoch |
|---|---|
| 0.0036 | 0 |
| 0.0026 | 1 |
| 0.0008 | 2 |
| 0.0019 | 3 |
| 0.0004 | 4 |
| 0.0004 | 5 |
| 0.0004 | 6 |
| 0.0003 | 7 |
| 0.0002 | 8 |
| 0.0001 | 9 |
| 0.0001 | 10 |
| 0.0001 | 11 |
| 0.0002 | 12 |
| 0.0001 | 13 |
| 0.0001 | 14 |
| 0.0004 | 15 |
| 0.0002 | 16 |
| 0.0001 | 17 |
| 0.0002 | 18 |
| 0.0002 | 19 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.13.0
- Datasets 2.14.4
- Tokenizers 0.13.3
