tmp9wqcuxrt
This model is a fine-tuned version of distilbert-base-german-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.5063
- Train Accuracy: 0.7504
- Validation Loss: 0.5184
- Validation Accuracy: 0.7063
- 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': 5e-05, 'decay_steps': 411, '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 Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 0.5067 | 0.7494 | 0.4881 | 0.7437 | 0 |
| 0.5063 | 0.7504 | 0.5184 | 0.7063 | 1 |
Framework versions
- Transformers 4.21.2
- TensorFlow 2.8.2
- Datasets 2.2.2
- Tokenizers 0.12.1
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