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Svenskmodell
This model is a fine-tuned version of KB/bert-base-swedish-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3411
- Train End Logits Accuracy: 0.8882
- Train Start Logits Accuracy: 0.8838
- Validation Loss: 1.4988
- Validation End Logits Accuracy: 0.6713
- Validation Start Logits Accuracy: 0.6669
- Epoch: 3
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': 28792, '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 |
|---|---|---|---|---|---|---|
| 1.2392 | 0.6241 | 0.6197 | 1.0970 | 0.6588 | 0.6543 | 0 |
| 0.7549 | 0.7615 | 0.7569 | 1.1185 | 0.6673 | 0.6665 | 1 |
| 0.5005 | 0.8376 | 0.8323 | 1.3299 | 0.6571 | 0.6503 | 2 |
| 0.3411 | 0.8882 | 0.8838 | 1.4988 | 0.6713 | 0.6669 | 3 |
Framework versions
- Transformers 4.20.1
- TensorFlow 2.6.4
- Datasets 2.1.0
- Tokenizers 0.12.1
