bert-base-italian-uncased-squad-it-longer-answer
This model is a fine-tuned version of antoniocappiello/bert-base-italian-uncased-squad-it on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3648
- Train End Logits Accuracy: 0.9135
- Train Start Logits Accuracy: 0.8561
- Validation Loss: 0.4671
- Validation End Logits Accuracy: 0.8875
- Validation Start Logits Accuracy: 0.8287
- 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': 1718, '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 |
|---|---|---|---|---|---|---|
| 0.6341 | 0.8448 | 0.7713 | 0.4587 | 0.8846 | 0.8258 | 0 |
| 0.3648 | 0.9135 | 0.8561 | 0.4671 | 0.8875 | 0.8287 | 1 |
Framework versions
- Transformers 4.26.0
- TensorFlow 2.9.2
- Datasets 2.8.0
- Tokenizers 0.13.2