---
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 English & Indonesian sentiment dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9483
- Accuracy: 0.8531
- F1: 0.8539

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.5014        | 1.0   | 1185 | 0.4148          | 0.8268   | 0.8210 |
| 0.3209        | 2.0   | 2370 | 0.4529          | 0.8531   | 0.8515 |
| 0.1974        | 3.0   | 3555 | 0.7101          | 0.8363   | 0.8330 |
| 0.0958        | 4.0   | 4740 | 0.8550          | 0.8474   | 0.8451 |
| 0.0438        | 5.0   | 5925 | 0.9483          | 0.8531   | 0.8539 |


### Framework versions

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