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badokorach/bert-finetuned-squad-889
This model is a fine-tuned version of EricPeter/distilbert-base-cased-distilled-squad on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.4433
- Epoch: 9
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': 1e-05, 'decay_steps': 570, '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': 0.03}
- training_precision: mixed_float16
Training results
| Train Loss | Epoch |
|---|---|
| 2.6288 | 0 |
| 1.9760 | 1 |
| 1.8662 | 2 |
| 1.8056 | 3 |
| 1.7205 | 4 |
| 1.6519 | 5 |
| 1.5718 | 6 |
| 1.5069 | 7 |
| 1.4667 | 8 |
| 1.4433 | 9 |
Framework versions
- Transformers 4.32.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3
