metadata
license: mit
base_model: ayameRushia/indobert-base-uncased-finetuned-indonlu-smsa
tags:
- generated_from_keras_callback
model-index:
- name: stevanussmbrng/speeches_sentiment
results: []
stevanussmbrng/speeches_sentiment
This model is a fine-tuned version of ayameRushia/indobert-base-uncased-finetuned-indonlu-smsa on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0253
- Validation Loss: 0.3025
- Train Accuracy: 0.9
- Epoch: 9
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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 420, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 0.5261 | 0.2992 | 0.9059 | 0 |
| 0.2843 | 0.2773 | 0.8941 | 1 |
| 0.1874 | 0.3459 | 0.8706 | 2 |
| 0.1765 | 0.3533 | 0.8706 | 3 |
| 0.0829 | 0.2778 | 0.9059 | 4 |
| 0.0566 | 0.2593 | 0.8941 | 5 |
| 0.0394 | 0.2550 | 0.9176 | 6 |
| 0.0252 | 0.2876 | 0.9 | 7 |
| 0.0268 | 0.3052 | 0.8941 | 8 |
| 0.0253 | 0.3025 | 0.9 | 9 |
Framework versions
- Transformers 4.41.1
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1