transformers safetensors bart text2text-generation summarization id dataset:id_liputan6 license:mit autotrain_compatible endpoints_compatible region:us
---
datasets:
- id_liputan6
language:
- id
license: mit
metrics:
- rouge
pipeline_tag: summarization
tags:
- bart
- text2text-generation
---

# bart-indo-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.

## 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 | Step  | R1 Precision | R1 Recall | R1 Fmeasure | R2 Precision | R2 Recall | R2 Fmeasure | Rl Precision | Rl Recall | Rl Fmeasure |
|:-------------:|:-----:|:-----:|:------------:|:---------:|:-----------:|:------------:|:---------:|:-----------:|:------------:|:---------:|:-----------:|
| 0.2443        | 1.0   | 48000 | 0.3579       | 0.6416    | 0.4468      | 0.1163       | 0.2467    | 0.1551      | 0.3499       | 0.625     | 0.4359      |

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