---
license: mit
tags:
- generated_from_trainer
base_model: w11wo/indonesian-roberta-base-sentiment-classifier
metrics:
- accuracy
model-index:
- name: indonesia-election-sentiment-classification-finetuned-roberta-1
  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. -->

# indonesia-election-sentiment-classification-finetuned-roberta-1

This model is a fine-tuned version of [w11wo/indonesian-roberta-base-sentiment-classifier](https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2566
- Accuracy: 0.5565
- F1 Weighted: 0.5613

## 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: 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: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Weighted |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|
| No log        | 1.0   | 38   | 0.9822          | 0.4859   | 0.4578      |
| No log        | 2.0   | 76   | 1.3101          | 0.5040   | 0.4872      |
| No log        | 3.0   | 114  | 1.3172          | 0.5504   | 0.5300      |
| No log        | 4.0   | 152  | 1.8168          | 0.5222   | 0.5283      |
| No log        | 5.0   | 190  | 2.0302          | 0.5524   | 0.5515      |
| No log        | 6.0   | 228  | 2.2566          | 0.5565   | 0.5613      |
| No log        | 7.0   | 266  | 2.2423          | 0.5585   | 0.5607      |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1