---
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-indonesian-text-summarization-three-epochs
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mt5-small-finetuned-indonesian-text-summarization-three-epochs

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7214
- Rouge1: 63.0357
- Rouge2: 57.4431
- Rougel: 62.4971
- Rougelsum: 62.4881

## 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: 5.6e-05
- 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.3815        | 1.0   | 1783 | 0.8140          | 61.6055 | 56.088  | 61.0342 | 61.081    |
| 0.8829        | 2.0   | 3566 | 0.7622          | 62.9403 | 57.3298 | 62.375  | 62.4116   |
| 0.7926        | 3.0   | 5349 | 0.7214          | 63.0357 | 57.4431 | 62.4971 | 62.4881   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1