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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# indonesia-election-topic-classification-undersampling-double-ovr

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: 1.5974
- Balanced Accuracy: 0.7667

## 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   | 201  | 1.0434          | 0.6784            |
| No log        | 2.0   | 402  | 0.8096          | 0.7479            |
| 1.0106        | 3.0   | 603  | 1.0421          | 0.7634            |
| 1.0106        | 4.0   | 804  | 1.1982          | 0.7483            |
| 0.2636        | 5.0   | 1005 | 1.3720          | 0.7504            |
| 0.2636        | 6.0   | 1206 | 1.4238          | 0.7398            |
| 0.2636        | 7.0   | 1407 | 1.5469          | 0.7491            |
| 0.0802        | 8.0   | 1608 | 1.5200          | 0.7548            |
| 0.0802        | 9.0   | 1809 | 1.5341          | 0.7620            |
| 0.0464        | 10.0  | 2010 | 1.6248          | 0.7560            |
| 0.0464        | 11.0  | 2211 | 1.6143          | 0.7632            |
| 0.0464        | 12.0  | 2412 | 1.5974          | 0.7667            |
| 0.0285        | 13.0  | 2613 | 1.6216          | 0.7644            |
| 0.0285        | 14.0  | 2814 | 1.6438          | 0.7623            |


### Framework versions

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