---
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: 0.5170
- Rouge1: 38.108
- Rouge2: 27.5573
- Rougel: 34.7198
- Rougelsum: 36.6919
- Gen Len: 56.589

## 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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.6488        | 1.0   | 63   | 0.7318          | 34.224  | 24.5266 | 31.0318 | 32.8875   | 65.191  |
| 0.6983        | 2.0   | 126  | 0.6433          | 37.3155 | 27.3019 | 33.9529 | 36.1013   | 65.46   |
| 0.4226        | 3.0   | 189  | 0.5831          | 36.9679 | 26.3535 | 33.5956 | 35.7604   | 59.969  |
| 0.242         | 4.0   | 252  | 0.5539          | 39.0802 | 28.4622 | 35.8085 | 37.8181   | 55.301  |
| 0.1248        | 5.0   | 315  | 0.5170          | 38.108  | 27.5573 | 34.7198 | 36.6919   | 56.589  |


### Framework versions

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