---
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: indosum-pt-pl50-0
  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-pl50-0

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: 1.1937
- Rouge1: 67.2533
- Rouge2: 57.3905
- Rougel: 64.0732
- Rougelsum: 66.2476
- Gen Len: 97.596

## 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  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 2.9265        | 1.0   | 892  | 1.8737          | 55.0839 | 40.3522 | 51.1983 | 53.7369   | 83.836   |
| 2.2409        | 2.0   | 1784 | 1.5733          | 61.4245 | 48.8132 | 57.8573 | 60.2997   | 97.0253  |
| 1.9661        | 3.0   | 2676 | 1.3583          | 63.476  | 51.6887 | 59.9726 | 62.3509   | 98.7573  |
| 1.7713        | 4.0   | 3568 | 1.2569          | 65.7891 | 54.9944 | 62.429  | 64.7377   | 98.7987  |
| 1.6308        | 5.0   | 4460 | 1.1937          | 66.4804 | 56.0803 | 63.1939 | 65.4418   | 100.6973 |


### Framework versions

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