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

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: 2.2574
- Balanced Accuracy: 0.5978

## 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: 14

### Training results

| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
| No log        | 1.0   | 180  | 1.0928          | 0.4716            |
| No log        | 2.0   | 360  | 1.1167          | 0.4998            |
| 0.997         | 3.0   | 540  | 1.2231          | 0.4872            |
| 0.997         | 4.0   | 720  | 1.4308          | 0.5272            |
| 0.997         | 5.0   | 900  | 1.7431          | 0.5498            |
| 0.291         | 6.0   | 1080 | 1.9512          | 0.5124            |
| 0.291         | 7.0   | 1260 | 2.0338          | 0.5513            |
| 0.291         | 8.0   | 1440 | 2.1909          | 0.5427            |
| 0.1077        | 9.0   | 1620 | 2.2574          | 0.5978            |
| 0.1077        | 10.0  | 1800 | 2.3393          | 0.5698            |
| 0.1077        | 11.0  | 1980 | 2.3479          | 0.5312            |
| 0.0485        | 12.0  | 2160 | 2.3941          | 0.5795            |
| 0.0485        | 13.0  | 2340 | 2.4026          | 0.5896            |
| 0.0178        | 14.0  | 2520 | 2.4172          | 0.5584            |


### Framework versions

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