khadija69/mdeberta_ASE_kgl_layered_HAndT
This model is a fine-tuned version of khadija69/mdeberta_ASE_kgl_large on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0984
- Validation Loss: 0.2237
- Epoch: 5
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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2400, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 0.2176 | 0.1985 | 0 |
| 0.1767 | 0.1884 | 1 |
| 0.1455 | 0.2081 | 2 |
| 0.1277 | 0.2053 | 3 |
| 0.1123 | 0.2156 | 4 |
| 0.0984 | 0.2237 | 5 |
Framework versions
- Transformers 4.39.3
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2