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aaqibwaleed/roberta-large-squad2-finetuned-squad
This model is a fine-tuned version of navteca/roberta-large-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.5015
- Train End Logits Accuracy: 0.8536
- Train Start Logits Accuracy: 0.8279
- Validation Loss: 0.7790
- Validation End Logits Accuracy: 0.7905
- Validation Start Logits Accuracy: 0.7799
- Epoch: 1
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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 131822, '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}
- training_precision: float32
Training results
| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
|---|---|---|---|---|---|---|
| 0.9483 | 0.7418 | 0.7176 | 0.8067 | 0.7573 | 0.7504 | 0 |
| 0.5015 | 0.8536 | 0.8279 | 0.7790 | 0.7905 | 0.7799 | 1 |
Framework versions
- Transformers 4.24.0
- TensorFlow 2.7.1
- Datasets 2.7.1
- Tokenizers 0.13.2
