---
library_name: transformers
license: mit
base_model: flax-community/indonesian-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: model5_sent
  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. -->

# model5_sent

This model is a fine-tuned version of [flax-community/indonesian-roberta-base](https://huggingface.co/flax-community/indonesian-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Accuracy: 0.8395
- F1: 0.8402
- Loss: 0.5487

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Accuracy | F1     | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:------:|:---------------:|
| 0.446         | 1.0   | 1708 | 0.8255   | 0.8284 | 0.4535          |
| 0.3533        | 2.0   | 3416 | 0.8357   | 0.8387 | 0.4683          |
| 0.2062        | 3.0   | 5124 | 0.8395   | 0.8402 | 0.5487          |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2