---
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: indosum-lora-2
  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-2

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: 0.4698
- Rouge1: 73.8688
- Rouge2: 67.6187
- Rougel: 71.1566
- Rougelsum: 73.2002
- Gen Len: 101.4471

## 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  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 0.7883        | 1.0   | 894  | 0.5147          | 70.9781 | 64.3792 | 68.0826 | 70.1936   | 98.6372  |
| 0.6044        | 2.0   | 1788 | 0.4863          | 72.663  | 66.2333 | 69.8132 | 71.9752   | 102.0187 |
| 0.5609        | 3.0   | 2682 | 0.4760          | 73.1913 | 66.8222 | 70.379  | 72.525    | 101.9304 |
| 0.5314        | 4.0   | 3576 | 0.4698          | 73.8131 | 67.3889 | 70.9754 | 73.0829   | 100.9786 |
| 0.5104        | 5.0   | 4470 | 0.4697          | 73.6281 | 67.2468 | 70.8416 | 72.906    | 100.8594 |


### Framework versions

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