---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- id_liputan6
metrics:
- rouge
model-index:
- name: t5-small-finetuned-liputan6
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: id_liputan6
      type: id_liputan6
      config: canonical
      split: test
      args: canonical
    metrics:
    - name: Rouge1
      type: rouge
      value: 16.8519
---

<!-- 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. -->

# t5-small-finetuned-liputan6

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the id_liputan6 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4736
- Rouge1: 16.8519
- Rouge2: 8.2938
- Rougel: 15.684
- Rougelsum: 16.2027
- Gen Len: 19.0

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
| 1.2939        | 1.0   | 24236 | 1.4736          | 16.8519 | 8.2938 | 15.684 | 16.2027   | 19.0    |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2