---
license: mit
datasets:
- id_liputan6
language:
- id
metrics:
- rouge
pipeline_tag: summarization
tags:
- bart
---

# indobart-small
This model is a fine-tuned version of [bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on [Liputan6](https://paperswithcode.com/dataset/liputan6) dataset.
See demo model here [notebook](https://colab.research.google.com/drive/1bcqS42M3e5IySPYtAa-S4UeyJczg9DXh?usp=sharing).

## Training procedure
### Training hyperparameters
- learning_rate: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | R1 Precision | R1 Recall | R1 Fmeasure | R2 Precision | R2 Recall | R2 Fmeasure | Rl Precision | Rl Recall | Rl Fmeasure |
|:-------------:|:-----:|:------------:|:---------:|:-----------:|:------------:|:---------:|:-----------:|:------------:|:---------:|:-----------:|
| 0.3064        | 1.0   | 0.3487       | 0.6043    | 0.4375      | 0.1318       | 0.2613    | 0.1723      | 0.3349       | 0.5833    | 0.4208      |

## Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1