---
license: mit
base_model: w11wo/indonesian-roberta-base-posp-tagger
tags:
- generated_from_keras_callback
model-index:
- name: tunarebus/indonesian-roberta-base-posp-tagger-finetuned-tweet_pemilu2024
  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. -->

# tunarebus/indonesian-roberta-base-posp-tagger-finetuned-tweet_pemilu2024

This model is a fine-tuned version of [w11wo/indonesian-roberta-base-posp-tagger](https://huggingface.co/w11wo/indonesian-roberta-base-posp-tagger) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 4.6139
- Validation Loss: 4.5342
- Epoch: 29

## 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': -969, '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 |
|:----------:|:---------------:|:-----:|
| 11.7870    | 11.4348         | 0     |
| 10.8383    | 10.1366         | 1     |
| 9.6098     | 9.0621          | 2     |
| 8.7602     | 8.2954          | 3     |
| 8.0949     | 7.7276          | 4     |
| 7.6334     | 7.2756          | 5     |
| 7.3192     | 7.0363          | 6     |
| 7.1297     | 6.8447          | 7     |
| 6.8798     | 6.6169          | 8     |
| 6.6715     | 6.4639          | 9     |
| 6.5429     | 6.3752          | 10    |
| 6.4095     | 6.2620          | 11    |
| 6.2638     | 6.1581          | 12    |
| 6.1540     | 5.9689          | 13    |
| 6.0265     | 5.8920          | 14    |
| 5.8897     | 5.7454          | 15    |
| 5.8217     | 5.6647          | 16    |
| 5.6666     | 5.4978          | 17    |
| 5.5835     | 5.4511          | 18    |
| 5.4664     | 5.3607          | 19    |
| 5.4165     | 5.2142          | 20    |
| 5.2469     | 5.0818          | 21    |
| 5.2076     | 5.0844          | 22    |
| 5.0905     | 4.9672          | 23    |
| 4.9729     | 4.9139          | 24    |
| 4.8886     | 4.8487          | 25    |
| 4.8239     | 4.7208          | 26    |
| 4.7037     | 4.6975          | 27    |
| 4.6815     | 4.5338          | 28    |
| 4.6139     | 4.5342          | 29    |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.0
- Tokenizers 0.15.0