---
license: mit
base_model: flax-community/indonesian-roberta-base
tags:
- generated_from_trainer
model-index:
- name: topic-classification-tweet-10
  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. -->

# topic-classification-tweet-10

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:
- Loss: 1.0626
- Balanced Accuracy: 0.5160

## 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 | Balanced Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
| 1.1552        | 1.0   | 504  | 1.1809          | 0.3828            |
| 0.8732        | 2.0   | 1008 | 0.9191          | 0.4076            |
| 0.6933        | 3.0   | 1512 | 0.8095          | 0.4664            |
| 0.5438        | 4.0   | 2016 | 0.9478          | 0.5007            |
| 0.4576        | 5.0   | 2520 | 1.0626          | 0.5160            |
| 0.3853        | 6.0   | 3024 | 1.0753          | 0.4874            |
| 0.2755        | 7.0   | 3528 | 1.1464          | 0.5106            |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1