---
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: indosum-unipelt-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-unipelt-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: 0.9410
- Rouge1: 8.5377
- Rouge2: 2.4978
- Rougel: 7.8119
- Rougelsum: 8.1597
- Gen Len: 127.0

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.4307        | 1.0   | 892  | 1.2644          | 5.9923 | 1.617  | 5.7169 | 5.8449    | 127.0   |
| 1.5043        | 2.0   | 1784 | 0.9410          | 8.2013 | 1.997  | 7.4285 | 7.8145    | 127.0   |
| 1.2064        | 3.0   | 2676 | 0.7986          | 6.9869 | 1.3612 | 6.3365 | 6.7002    | 127.0   |
| 1.0352        | 4.0   | 3568 | 0.7307          | 5.9136 | 0.995  | 5.4713 | 5.7309    | 127.0   |
| 0.9265        | 5.0   | 4460 | 0.6944          | 5.7938 | 0.9075 | 5.2885 | 5.5754    | 127.0   |


### Framework versions

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