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dosai/roberta-finetuned-squad
This model is a fine-tuned version of kz-transformers/kaz-roberta-conversational on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.6537
- Epoch: 14
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': 465, '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 |
|---|---|
| 1.8815 | 0 |
| 1.5186 | 1 |
| 1.3129 | 2 |
| 1.1710 | 3 |
| 1.0536 | 4 |
| 0.9395 | 5 |
| 0.8228 | 6 |
| 0.7734 | 7 |
| 0.7439 | 8 |
| 0.7094 | 9 |
| 0.6867 | 10 |
| 0.6723 | 11 |
| 0.6391 | 12 |
| 0.6235 | 13 |
| 0.6537 | 14 |
Framework versions
- Transformers 4.29.2
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
