khadija69/xlmrBERTa_ASE_BIES
This model is a fine-tuned version of xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.4962
- Train Accuracy: 0.6443
- Validation Loss: 0.7691
- Validation Accuracy: 0.5905
- 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': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1900, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 500, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, '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 | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 1.2628 | 0.4197 | 0.8734 | 0.5528 | 0 |
| 0.8573 | 0.5472 | 0.8101 | 0.5652 | 1 |
| 0.7342 | 0.5747 | 0.7580 | 0.5721 | 2 |
| 0.6517 | 0.5985 | 0.7548 | 0.5837 | 3 |
| 0.5708 | 0.6257 | 0.7669 | 0.5865 | 4 |
| 0.4962 | 0.6443 | 0.7691 | 0.5905 | 5 |
Framework versions
- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.19.2
- Tokenizers 0.19.1