---
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
datasets:
- id_liputan6
metrics:
- rouge
model-index:
- name: liputan6-lora-16
  results:
  - task:
      name: Summarization
      type: summarization
    dataset:
      name: id_liputan6 canonical
      type: id_liputan6
      config: canonical
      split: validation
      args: canonical
    metrics:
    - name: Rouge1
      type: rouge
      value: 43.1279
---

<!-- 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-lora-16

This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on the id_liputan6 canonical dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2652
- Rouge1: 43.1279
- Rouge2: 34.4893
- Rougel: 39.464
- Rougelsum: 41.6727
- Gen Len: 58.936

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.2779        | 1.0   | 63   | 0.3734          | 40.6247 | 32.4945 | 37.6262 | 39.2634   | 52.145  |
| 0.533         | 2.0   | 126  | 0.2652          | 42.9261 | 34.4419 | 39.4137 | 41.4698   | 53.098  |
| 0.4176        | 3.0   | 189  | 0.2285          | 40.0567 | 30.7942 | 36.765  | 38.66     | 50.993  |
| 0.364         | 4.0   | 252  | 0.2309          | 42.2149 | 33.065  | 38.5226 | 40.8353   | 55.49   |
| 0.3343        | 5.0   | 315  | 0.2211          | 41.3186 | 32.0318 | 37.7094 | 39.8931   | 54.221  |


### Framework versions

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