---
license: mit
base_model: w11wo/indonesian-roberta-base-sentiment-classifier
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test-reward-model
  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. -->

# test-reward-model

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: 0.2784
- Accuracy: 0.8817

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7179        | 0.67  | 50   | 0.6866          | 0.6237   |
| 0.6866        | 1.33  | 100  | 0.6661          | 0.7742   |
| 0.6546        | 2.0   | 150  | 0.6039          | 0.8280   |
| 0.5421        | 2.67  | 200  | 0.4624          | 0.8172   |
| 0.3965        | 3.33  | 250  | 0.3958          | 0.8280   |
| 0.3244        | 4.0   | 300  | 0.3502          | 0.8495   |
| 0.251         | 4.67  | 350  | 0.4012          | 0.8602   |
| 0.1579        | 5.33  | 400  | 0.3184          | 0.8602   |
| 0.135         | 6.0   | 450  | 0.3141          | 0.8710   |
| 0.1114        | 6.67  | 500  | 0.3474          | 0.8495   |
| 0.0929        | 7.33  | 550  | 0.2931          | 0.8495   |
| 0.0829        | 8.0   | 600  | 0.2757          | 0.8710   |
| 0.0834        | 8.67  | 650  | 0.2889          | 0.8817   |
| 0.057         | 9.33  | 700  | 0.2810          | 0.8925   |
| 0.0503        | 10.0  | 750  | 0.2800          | 0.8817   |
| 0.062         | 10.67 | 800  | 0.2806          | 0.8817   |
| 0.0303        | 11.33 | 850  | 0.2971          | 0.8817   |
| 0.0246        | 12.0  | 900  | 0.2784          | 0.8817   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.15.2