---
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