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dosai/distilbert-sud
This model is a fine-tuned version of distilbert-base-cased-distilled-squad on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0026
- 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: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 40440, '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': 0.001}
- training_precision: mixed_float16
Training results
| Train Loss | Epoch |
|---|---|
| 0.5392 | 0 |
| 0.2639 | 1 |
| 0.1945 | 2 |
| 0.1562 | 3 |
| 0.1274 | 4 |
| 0.1065 | 5 |
| 0.0871 | 6 |
| 0.0714 | 7 |
| 0.0598 | 8 |
| 0.0499 | 9 |
| 0.0436 | 10 |
| 0.0376 | 11 |
| 0.0305 | 12 |
| 0.0286 | 13 |
| 0.0223 | 14 |
| 0.0215 | 15 |
| 0.0210 | 16 |
| 0.0139 | 17 |
| 0.0147 | 18 |
| 0.0119 | 19 |
| 0.0091 | 20 |
| 0.0086 | 21 |
| 0.0077 | 22 |
| 0.0055 | 23 |
| 0.0060 | 24 |
| 0.0047 | 25 |
| 0.0039 | 26 |
| 0.0037 | 27 |
| 0.0028 | 28 |
| 0.0026 | 29 |
Framework versions
- Transformers 4.29.2
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
