---
license: mit
base_model: ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: roberta-stunting-medsos-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. -->

# roberta-stunting-medsos-sentiment

This model is a fine-tuned version of [ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa](https://huggingface.co/ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8784
- Accuracy: 0.8742
- Precision: 0.8496
- Recall: 0.8438
- F1: 0.8441

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log        | 1.0   | 314  | 0.4554          | 0.8487   | 0.8401    | 0.7848 | 0.8018 |
| 0.4659        | 2.0   | 628  | 0.5678          | 0.8567   | 0.8501    | 0.7946 | 0.8133 |
| 0.4659        | 3.0   | 942  | 0.6851          | 0.8535   | 0.8278    | 0.8404 | 0.8247 |
| 0.1838        | 4.0   | 1256 | 0.8474          | 0.8742   | 0.8476    | 0.8470 | 0.8451 |
| 0.0176        | 5.0   | 1570 | 0.8784          | 0.8742   | 0.8496    | 0.8438 | 0.8441 |


### Framework versions

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