---
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarization-seq_bn-2
  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. -->

# summarization-seq_bn-2

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: 0.4666
- Rouge1: 0.4096
- Rouge2: 0.0
- Rougel: 0.4093
- Rougelsum: 0.4102
- Gen Len: 1.0

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.781         | 1.0   | 894  | 0.5142          | 0.6277 | 0.0    | 0.6309 | 0.628     | 1.0     |
| 0.6103        | 2.0   | 1788 | 0.4834          | 0.6516 | 0.0    | 0.6528 | 0.6502    | 1.0     |
| 0.5612        | 3.0   | 2682 | 0.4769          | 0.6537 | 0.0    | 0.654  | 0.6571    | 1.0     |
| 0.5242        | 4.0   | 3576 | 0.4704          | 0.6285 | 0.0    | 0.6294 | 0.6312    | 1.0     |
| 0.4933        | 5.0   | 4470 | 0.4666          | 0.6446 | 0.0    | 0.6437 | 0.6455    | 1.0     |


### Framework versions

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