---
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: 0.4621
- Rouge1: 73.7537
- Rouge2: 67.0657
- Rougel: 71.1377
- Rougelsum: 72.9002
- Gen Len: 101.8929

## 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  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 0.7838        | 1.0   | 892  | 0.5145          | 69.9783 | 62.8024 | 67.0786 | 69.0962   | 98.8206  |
| 0.6031        | 2.0   | 1784 | 0.4936          | 71.6523 | 64.7055 | 68.9409 | 70.7517   | 103.1459 |
| 0.5579        | 3.0   | 2676 | 0.4722          | 72.165  | 65.403  | 69.5451 | 71.3208   | 100.0388 |
| 0.5287        | 4.0   | 3568 | 0.4657          | 73.1062 | 66.416  | 70.5428 | 72.2864   | 99.8876  |
| 0.5074        | 5.0   | 4460 | 0.4621          | 73.4114 | 66.7459 | 70.7702 | 72.5939   | 101.6091 |


### Framework versions

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