metadata
tags:
- generated_from_keras_callback
model-index:
- name: aadhistii/tsel-finetune-indobert-base-p1
results: []
aadhistii/tsel-finetune-indobert-base-p1
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0134
- Validation Loss: 1.2552
- Train Accuracy: 0.7192
- 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': 730, '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 |
|---|---|---|---|
| 0.8491 | 0.7306 | 0.6918 | 0 |
| 0.5493 | 0.7671 | 0.7055 | 1 |
| 0.2891 | 0.8141 | 0.7123 | 2 |
| 0.1454 | 1.0675 | 0.6884 | 3 |
| 0.0853 | 1.0311 | 0.7089 | 4 |
| 0.0426 | 1.1304 | 0.6986 | 5 |
| 0.0226 | 1.1787 | 0.7089 | 6 |
| 0.0191 | 1.2164 | 0.7123 | 7 |
| 0.0147 | 1.2593 | 0.7192 | 8 |
| 0.0134 | 1.2552 | 0.7192 | 9 |
Framework versions
- Transformers 4.42.3
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1