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

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: 1.3829
- Balanced Accuracy: 0.6104

## 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   | 200  | 1.0366          | 0.4625            |
| No log        | 2.0   | 400  | 0.9368          | 0.5087            |
| 0.8991        | 3.0   | 600  | 1.0928          | 0.5600            |
| 0.8991        | 4.0   | 800  | 1.3137          | 0.5789            |
| 0.2232        | 5.0   | 1000 | 1.3793          | 0.5956            |
| 0.2232        | 6.0   | 1200 | 1.3381          | 0.5985            |
| 0.2232        | 7.0   | 1400 | 1.3829          | 0.6104            |


### Framework versions

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