---
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: text-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. -->

# text-classification

This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9868
- Balanced Accuracy: 0.5178

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
| 1.5005        | 1.0   | 75   | 1.2434          | 0.3803            |
| 1.0016        | 2.0   | 150  | 1.1184          | 0.4835            |
| 0.9022        | 3.0   | 225  | 1.0876          | 0.4952            |
| 0.5408        | 4.0   | 300  | 0.9868          | 0.5178            |
| 0.5569        | 5.0   | 375  | 1.0562          | 0.5062            |
| 0.3193        | 6.0   | 450  | 1.1570          | 0.5065            |
| 0.2545        | 7.0   | 525  | 1.2337          | 0.5328            |
| 0.2079        | 8.0   | 600  | 1.2565          | 0.5404            |
| 0.2004        | 9.0   | 675  | 1.3088          | 0.5403            |
| 0.1072        | 10.0  | 750  | 1.3097          | 0.5498            |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1