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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
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
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: 0.0934
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2392 | 1.0 | 65 | 0.1149 |
| 0.1242 | 2.0 | 130 | 0.1343 |
| 0.0749 | 3.0 | 195 | 0.0934 |
| 0.0522 | 4.0 | 260 | 0.2300 |
| 0.0333 | 5.0 | 325 | 0.2182 |
| 0.027 | 6.0 | 390 | 0.1472 |
| 0.0115 | 7.0 | 455 | 0.1757 |
| 0.0162 | 8.0 | 520 | 0.1539 |
| 0.0219 | 9.0 | 585 | 0.1905 |
| 0.0084 | 10.0 | 650 | 0.1709 |
| 0.0014 | 11.0 | 715 | 0.2220 |
| 0.0004 | 12.0 | 780 | 0.2575 |
| 0.0002 | 13.0 | 845 | 0.2390 |
| 0.0 | 14.0 | 910 | 0.2316 |
| 0.0 | 15.0 | 975 | 0.2333 |
| 0.0 | 16.0 | 1040 | 0.2346 |
| 0.0 | 17.0 | 1105 | 0.2357 |
| 0.0 | 18.0 | 1170 | 0.2366 |
| 0.0 | 19.0 | 1235 | 0.2371 |
| 0.0 | 20.0 | 1300 | 0.2372 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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