<!-- 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. -->
korttextbert
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.7501
- Train End Logits Accuracy: 0.7864
- Train Start Logits Accuracy: 0.7557
- Validation Loss: 1.0797
- Validation End Logits Accuracy: 0.7166
- Validation Start Logits Accuracy: 0.6912
- Epoch: 2
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': 11529, '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 |
|---|---|---|---|---|---|---|
| 1.4538 | 0.6209 | 0.5897 | 1.1081 | 0.6964 | 0.6739 | 0 |
| 0.9285 | 0.7425 | 0.7106 | 1.0454 | 0.7147 | 0.6917 | 1 |
| 0.7501 | 0.7864 | 0.7557 | 1.0797 | 0.7166 | 0.6912 | 2 |
Framework versions
- Transformers 4.20.1
- TensorFlow 2.6.4
- Datasets 2.1.0
- Tokenizers 0.12.1
