---
license: apache-2.0
tags:
- generated_from_trainer
base_model: indolem/indobertweet-base-uncased
model-index:
- name: indonesia-election-topic-classification
  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. -->

# indonesia-election-topic-classification

This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5418
- Balanced Accuracy: 0.4849

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
| No log        | 1.0   | 446  | 0.8460          | 0.3867            |
| 0.8653        | 2.0   | 892  | 0.9161          | 0.4401            |
| 0.5112        | 3.0   | 1338 | 1.1297          | 0.4674            |
| 0.3104        | 4.0   | 1784 | 1.3028          | 0.4474            |
| 0.1834        | 5.0   | 2230 | 1.4835          | 0.4815            |
| 0.0876        | 6.0   | 2676 | 1.5418          | 0.4849            |
| 0.048         | 7.0   | 3122 | 1.5620          | 0.4737            |


### Framework versions

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