---
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: indosum-base-3
  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. -->

# indosum-base-3

This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7690
- Rouge1: 71.9504
- Rouge2: 64.7658
- Rougel: 68.7524
- Rougelsum: 70.9978
- Gen Len: 99.2

## 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  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 1.1937        | 1.0   | 892  | 0.8370          | 64.7751 | 56.7545 | 61.4956 | 63.81     | 90.984   |
| 0.6828        | 2.0   | 1784 | 0.6911          | 69.9628 | 62.6338 | 66.8253 | 69.0763   | 101.1173 |
| 0.4847        | 3.0   | 2676 | 0.6692          | 69.9807 | 62.5614 | 66.7619 | 69.0683   | 95.6133  |
| 0.3348        | 4.0   | 3568 | 0.7029          | 70.9247 | 63.6191 | 67.7749 | 70.0079   | 100.1547 |
| 0.1988        | 5.0   | 4460 | 0.7690          | 71.4437 | 64.1873 | 68.2379 | 70.5264   | 98.6667  |


### Framework versions

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