metadata
license: mit
base_model: flax-community/indonesian-roberta-base
tags:
- generated_from_keras_callback
model-index:
- name: aadhistii/roberta-base-indonesian-ner
results: []
aadhistii/roberta-base-indonesian-ner
This model is a fine-tuned version of flax-community/indonesian-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1215
- Validation Loss: 0.1758
- Train Precision: 0.8115
- Train Recall: 0.8526
- Train F1: 0.8315
- Train Accuracy: 0.9491
- 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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2349, '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 | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
|---|---|---|---|---|---|---|
| 0.4384 | 0.1839 | 0.7954 | 0.8247 | 0.8098 | 0.9459 | 0 |
| 0.1628 | 0.1757 | 0.8077 | 0.8439 | 0.8254 | 0.9477 | 1 |
| 0.1215 | 0.1758 | 0.8115 | 0.8526 | 0.8315 | 0.9491 | 2 |
Framework versions
- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.19.2
- Tokenizers 0.19.1