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

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: 3.6316
- Rouge1: 1.8166
- Rouge2: 0.0438
- Rougel: 1.7867
- Rougelsum: 1.8115
- Gen Len: 127.0

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 4.4282        | 1.0   | 63   | 3.9181          | 6.5087 | 1.1507 | 5.6509 | 5.8646    | 127.0   |
| 3.5887        | 2.0   | 126  | 3.7178          | 2.446  | 0.2311 | 2.2699 | 2.3165    | 127.0   |
| 3.2648        | 3.0   | 189  | 3.6481          | 2.5164 | 0.1545 | 2.3984 | 2.4483    | 127.0   |
| 3.0219        | 4.0   | 252  | 3.6384          | 1.8155 | 0.0676 | 1.7586 | 1.7921    | 127.0   |
| 2.8422        | 5.0   | 315  | 3.6316          | 1.8166 | 0.0438 | 1.7867 | 1.8115    | 127.0   |


### Framework versions

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