---
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: indosum-pt-pl5-0
  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-pt-pl5-0

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: 1.7467
- Rouge1: 53.1916
- Rouge2: 33.4
- Rougel: 48.1427
- Rougelsum: 51.4084
- Gen Len: 94.7093

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 3.3529        | 1.0   | 892  | 2.4031          | 38.6954 | 16.1544 | 31.8171 | 36.2119   | 95.0347 |
| 2.9862        | 2.0   | 1784 | 2.1683          | 43.9573 | 21.3807 | 37.3906 | 41.5485   | 92.3707 |
| 2.7929        | 3.0   | 2676 | 1.9973          | 44.5846 | 23.2132 | 38.5252 | 42.4754   | 100.268 |
| 2.6146        | 4.0   | 3568 | 1.8518          | 48.6507 | 27.6554 | 42.9432 | 46.628    | 98.7813 |
| 2.4702        | 5.0   | 4460 | 1.7467          | 51.1569 | 30.4226 | 45.5936 | 49.2619   | 96.5467 |


### Framework versions

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