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---
license: mit
base_model: cahya/roberta-base-indonesian-522M
tags:
- generated_from_trainer
model-index:
- name: roberta-base-indonesian-522M-with-sa-william-dataset-v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base-indonesian-522M-with-sa-william-dataset-v2
This model is a fine-tuned version of [cahya/roberta-base-indonesian-522M](https://huggingface.co/cahya/roberta-base-indonesian-522M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1121
## 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:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.185 | 1.0 | 299 | 0.1121 |
| 0.0966 | 2.0 | 598 | 0.1274 |
| 0.0711 | 3.0 | 897 | 0.1431 |
| 0.054 | 4.0 | 1196 | 0.1676 |
| 0.047 | 5.0 | 1495 | 0.1508 |
| 0.0427 | 6.0 | 1794 | 0.1570 |
| 0.0343 | 7.0 | 2093 | 0.1229 |
| 0.029 | 8.0 | 2392 | 0.1430 |
| 0.0316 | 9.0 | 2691 | 0.1748 |
| 0.0254 | 10.0 | 2990 | 0.1562 |
| 0.0241 | 11.0 | 3289 | 0.1197 |
| 0.0222 | 12.0 | 3588 | 0.1190 |
| 0.0244 | 13.0 | 3887 | 0.1471 |
| 0.0222 | 14.0 | 4186 | 0.1382 |
| 0.02 | 15.0 | 4485 | 0.1466 |
| 0.0214 | 16.0 | 4784 | 0.1744 |
| 0.0186 | 17.0 | 5083 | 0.1457 |
| 0.0196 | 18.0 | 5382 | 0.1515 |
| 0.0182 | 19.0 | 5681 | 0.1456 |
| 0.0189 | 20.0 | 5980 | 0.1450 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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