---
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: indosum-seq_bn-rf16-0
  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-seq_bn-rf16-0

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: 0.4868
- Rouge1: 73.4412
- Rouge2: 66.5198
- Rougel: 70.4596
- Rougelsum: 72.5706
- Gen Len: 103.0

## 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  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 0.7747        | 1.0   | 892  | 0.5280          | 70.368  | 63.1479 | 67.3463 | 69.4649   | 100.8813 |
| 0.6074        | 2.0   | 1784 | 0.5154          | 71.3426 | 64.1849 | 68.288  | 70.4796   | 104.6013 |
| 0.5576        | 3.0   | 2676 | 0.4920          | 71.6471 | 64.5469 | 68.6561 | 70.7418   | 101.8973 |
| 0.5199        | 4.0   | 3568 | 0.4931          | 72.695  | 65.8499 | 69.8428 | 71.8427   | 103.6333 |
| 0.4895        | 5.0   | 4460 | 0.4868          | 73.1452 | 66.2201 | 70.1397 | 72.2952   | 102.3827 |


### Framework versions

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