| | --- |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: Svenskmodell |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information Keras had access to. You should |
| | probably proofread and complete it, then remove this comment. --> |
| |
|
| | # Svenskmodell |
| |
|
| | This model is a fine-tuned version of [KB/bert-base-swedish-cased](https://huggingface.co/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 |
| |
|
