metadata
library_name: transformers
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: Labira/LabiraPJOK_1_100
results: []
Labira/LabiraPJOK_1_100
This model is a fine-tuned version of indolem/indobert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0089
- Validation Loss: 7.5009
- Epoch: 16
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': 300, '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 | Epoch |
|---|---|---|
| 0.5573 | 6.1112 | 0 |
| 0.2525 | 4.7174 | 1 |
| 0.4330 | 4.9959 | 2 |
| 0.2496 | 5.5703 | 3 |
| 0.1868 | 5.9061 | 4 |
| 0.1491 | 6.0854 | 5 |
| 0.1951 | 6.3417 | 6 |
| 0.0492 | 6.4913 | 7 |
| 0.0296 | 6.5959 | 8 |
| 0.0352 | 6.7091 | 9 |
| 0.0530 | 6.7985 | 10 |
| 0.0265 | 6.9577 | 11 |
| 0.0239 | 7.1006 | 12 |
| 0.0221 | 7.2133 | 13 |
| 0.0171 | 7.3099 | 14 |
| 0.0154 | 7.4198 | 15 |
| 0.0089 | 7.5009 | 16 |
Framework versions
- Transformers 4.44.2
- TensorFlow 2.17.0
- Datasets 3.0.1
- Tokenizers 0.19.1