---
license: mit
base_model: w11wo/indonesian-roberta-base-sentiment-classifier
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [w11wo/indonesian-roberta-base-sentiment-classifier](https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2671
- Accuracy: 0.9051
- Precision: 0.9004
- Recall: 0.9051
- F1: 0.9007

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.2786        | 0.9992 | 589  | 0.2370          | 0.9109   | 0.9053    | 0.9109 | 0.9060 |
| 0.2205        | 2.0    | 1179 | 0.2626          | 0.9143   | 0.9175    | 0.9143 | 0.9154 |
| 0.1252        | 2.9992 | 1768 | 0.3468          | 0.9169   | 0.9160    | 0.9169 | 0.9164 |
| 0.0869        | 4.0    | 2358 | 0.4000          | 0.9220   | 0.9200    | 0.9220 | 0.9208 |
| 0.0147        | 4.9958 | 2945 | 0.4424          | 0.9220   | 0.9180    | 0.9220 | 0.9194 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1