---
license: mit
base_model: cahya/bert-base-indonesian-522M
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-base-indonesian-522M-finetuned-sentiment
  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. -->

# bert-base-indonesian-522M-finetuned-sentiment

This model is a fine-tuned version of [cahya/bert-base-indonesian-522M](https://huggingface.co/cahya/bert-base-indonesian-522M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5026
- Accuracy: 0.8376
- F1: 0.8363

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.4893        | 1.0   | 1185 | 0.4359          | 0.8211   | 0.8274 |
| 0.2842        | 2.0   | 2370 | 0.5026          | 0.8376   | 0.8363 |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3