malay-patel/bert-ww-finetuned-squad
This model is a fine-tuned version of bert-large-cased-whole-word-masking-finetuned-squad on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1766
- Train End Logits Accuracy: 0.9455
- Train Start Logits Accuracy: 0.9312
- Epoch: 2
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': 16638, '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 | Train End Logits Accuracy | Train Start Logits Accuracy | Epoch |
|---|---|---|---|
| 0.5635 | 0.8374 | 0.7992 | 0 |
| 0.3369 | 0.8987 | 0.8695 | 1 |
| 0.1766 | 0.9455 | 0.9312 | 2 |
Framework versions
- Transformers 4.24.0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.2