---
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: indosum-lora-1
  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-1

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: 0.5316
- Rouge1: 72.4894
- Rouge2: 65.4392
- Rougel: 69.5679
- Rougelsum: 71.7185
- Gen Len: 103.4539

## 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  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 0.8284        | 1.0   | 892  | 0.5654          | 69.049  | 61.4592 | 65.911  | 68.1282   | 103.9266 |
| 0.6258        | 2.0   | 1784 | 0.5642          | 70.9515 | 63.7019 | 67.8649 | 70.1412   | 100.1482 |
| 0.5833        | 3.0   | 2676 | 0.5316          | 72.5836 | 65.5267 | 69.5676 | 71.788    | 103.0280 |
| 0.5589        | 4.0   | 3568 | 0.5199          | 72.1782 | 65.1594 | 69.2161 | 71.3916   | 104.1282 |
| 0.5409        | 5.0   | 4460 | 0.5157          | 72.5683 | 65.5815 | 69.6312 | 71.7918   | 102.8131 |


### Framework versions

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