---
license: mit
base_model: cahya/bert-base-indonesian-522M
tags:
- generated_from_keras_callback
model-index:
- name: racheilla/bert-base-indonesian-522M-finetuned-pemilu
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# racheilla/bert-base-indonesian-522M-finetuned-pemilu

This model is a fine-tuned version of [cahya/bert-base-indonesian-522M](https://huggingface.co/cahya/bert-base-indonesian-522M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.3152
- Validation Loss: 3.3760
- Epoch: 33

## 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': -950, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1000, '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: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 3.2847     | 3.4266          | 0     |
| 3.3000     | 3.4116          | 1     |
| 3.2702     | 3.3975          | 2     |
| 3.2675     | 3.4689          | 3     |
| 3.2982     | 3.3540          | 4     |
| 3.3109     | 3.4127          | 5     |
| 3.2698     | 3.4126          | 6     |
| 3.2852     | 3.4165          | 7     |
| 3.2977     | 3.3816          | 8     |
| 3.2749     | 3.3923          | 9     |
| 3.2777     | 3.3841          | 10    |
| 3.2555     | 3.4534          | 11    |
| 3.2940     | 3.4194          | 12    |
| 3.2860     | 3.3810          | 13    |
| 3.2585     | 3.3328          | 14    |
| 3.2979     | 3.4310          | 15    |
| 3.2844     | 3.4374          | 16    |
| 3.2961     | 3.3630          | 17    |
| 3.2729     | 3.4132          | 18    |
| 3.2775     | 3.4114          | 19    |
| 3.2561     | 3.3869          | 20    |
| 3.3089     | 3.4583          | 21    |
| 3.2839     | 3.4010          | 22    |
| 3.2863     | 3.4335          | 23    |
| 3.2347     | 3.4040          | 24    |
| 3.2691     | 3.3805          | 25    |
| 3.2779     | 3.4005          | 26    |
| 3.3175     | 3.3627          | 27    |
| 3.2853     | 3.3995          | 28    |
| 3.2787     | 3.3904          | 29    |
| 3.2739     | 3.4169          | 30    |
| 3.2976     | 3.3728          | 31    |
| 3.2474     | 3.4051          | 32    |
| 3.3152     | 3.3760          | 33    |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.15.0
- Tokenizers 0.15.0