---
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: racheilla/indobertweet-base-uncased-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/indobertweet-base-uncased-finetuned-pemilu

This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 4.0475
- Validation Loss: 3.8312
- Epoch: 19

## 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': -957, '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 |
|:----------:|:---------------:|:-----:|
| 6.5041     | 6.0066          | 0     |
| 6.1286     | 5.6638          | 1     |
| 5.8608     | 5.3912          | 2     |
| 5.7038     | 5.1285          | 3     |
| 5.4613     | 4.9963          | 4     |
| 5.3015     | 4.8188          | 5     |
| 5.1496     | 4.6837          | 6     |
| 4.9652     | 4.6265          | 7     |
| 4.8800     | 4.4863          | 8     |
| 4.7938     | 4.3898          | 9     |
| 4.7163     | 4.3376          | 10    |
| 4.5680     | 4.1990          | 11    |
| 4.5108     | 4.1732          | 12    |
| 4.4189     | 4.0172          | 13    |
| 4.3261     | 4.0899          | 14    |
| 4.2851     | 4.0001          | 15    |
| 4.2012     | 3.9487          | 16    |
| 4.1282     | 3.9110          | 17    |
| 4.1267     | 3.9193          | 18    |
| 4.0475     | 3.8312          | 19    |


### Framework versions

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