---
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: indosum-lora-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-lora-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: 0.5148
- Rouge1: 72.9552
- Rouge2: 66.0943
- Rougel: 69.9638
- Rougelsum: 72.0769
- Gen Len: 102.96

## 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  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 0.7809        | 1.0   | 892  | 0.5511          | 70.7387 | 63.5003 | 67.571  | 69.7824   | 100.4227 |
| 0.5981        | 2.0   | 1784 | 0.5352          | 71.407  | 64.2122 | 68.3064 | 70.4861   | 104.784  |
| 0.5542        | 3.0   | 2676 | 0.5363          | 72.3351 | 65.2788 | 69.2683 | 71.4248   | 102.4427 |
| 0.5238        | 4.0   | 3568 | 0.5148          | 72.8512 | 65.9167 | 69.8532 | 71.9591   | 102.4173 |
| 0.5034        | 5.0   | 4460 | 0.5105          | 72.6979 | 65.6731 | 69.6184 | 71.7604   | 102.2533 |


### Framework versions

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