khadija69/xlmRobertaLarge_BIES_stem_1K_4
This model is a fine-tuned version of khadija69/xlmRobertaLarge_BIES_stem_1K_3 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.2883
- Train Accuracy: 0.6190
- Validation Loss: 0.6948
- Validation Accuracy: 0.5680
- 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': 1300, '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 |
|---|---|---|---|---|
| 0.6674 | 0.5493 | 0.6292 | 0.5491 | 0 |
| 0.6193 | 0.5540 | 0.6428 | 0.5514 | 1 |
| 0.5089 | 0.5762 | 0.6467 | 0.5601 | 2 |
| 0.4181 | 0.5927 | 0.6735 | 0.5610 | 3 |
| 0.3388 | 0.6085 | 0.7071 | 0.5640 | 4 |
| 0.2883 | 0.6190 | 0.6948 | 0.5680 | 5 |
Framework versions
- Transformers 4.42.3
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1