---
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