---
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
datasets:
- id_liputan6
metrics:
- rouge
model-index:
- name: liputan6-base
  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. -->

# liputan6-base

This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on the id_liputan6 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0398
- Rouge1: 35.4918
- Rouge2: 17.885
- Rougel: 29.6804
- Rougelsum: 32.9507
- Gen Len: 36.4740

## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.0683        | 1.0   | 12118 | 2.3723          | 33.423  | 16.5875 | 28.0723 | 31.0371   | 38.1132 |
| 1.5342        | 2.0   | 24236 | 2.1400          | 34.4775 | 17.1757 | 28.8546 | 32.0264   | 36.7176 |
| 1.241         | 3.0   | 36354 | 2.0398          | 35.4918 | 17.885  | 29.6804 | 32.9507   | 36.4740 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1