---
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: 1.4783
- Balanced Accuracy: 0.5328

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
| 0.2974        | 1.0   | 150  | 1.4783          | 0.5328            |
| 0.2406        | 2.0   | 300  | 1.6163          | 0.5288            |
| 0.3334        | 3.0   | 450  | 1.7306          | 0.5253            |
| 0.2145        | 4.0   | 600  | 1.6787          | 0.5254            |
| 0.1358        | 5.0   | 750  | 1.9275          | 0.5482            |
| 0.081         | 6.0   | 900  | 1.8528          | 0.5372            |
| 0.2184        | 7.0   | 1050 | 1.9453          | 0.5604            |
| 0.0593        | 8.0   | 1200 | 1.9722          | 0.5558            |
| 0.0068        | 9.0   | 1350 | 2.0153          | 0.5561            |
| 0.0531        | 10.0  | 1500 | 2.0004          | 0.5429            |


### Framework versions

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