---
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: indosum-lora-4
  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-4

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: 0.4741
- Rouge1: 73.4959
- Rouge2: 66.8131
- Rougel: 70.7936
- Rougelsum: 72.6487
- Gen Len: 102.2932

## 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  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 0.8265        | 1.0   | 892  | 0.5175          | 68.9705 | 61.6703 | 66.1048 | 68.0943   | 94.2182  |
| 0.6279        | 2.0   | 1784 | 0.4892          | 71.4829 | 64.4236 | 68.7077 | 70.6264   | 99.7684  |
| 0.5857        | 3.0   | 2676 | 0.4836          | 72.3238 | 65.462  | 69.6316 | 71.4946   | 99.3775  |
| 0.561         | 4.0   | 3568 | 0.4794          | 72.2216 | 65.3919 | 69.5752 | 71.3864   | 100.2517 |
| 0.5438        | 5.0   | 4460 | 0.4741          | 72.7878 | 66.023  | 70.0879 | 71.9606   | 102.3829 |


### Framework versions

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