---
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: indosum-base-1
  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-base-1

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: 0.7478
- Rouge1: 72.3325
- Rouge2: 65.1065
- Rougel: 69.2256
- Rougelsum: 71.5325
- Gen Len: 99.4045

## 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  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 1.1904        | 1.0   | 892  | 0.8053          | 65.8257 | 57.6167 | 62.6222 | 65.0027   | 95.8598  |
| 0.6851        | 2.0   | 1784 | 0.6779          | 67.8889 | 60.0878 | 64.5868 | 66.9914   | 96.2911  |
| 0.4856        | 3.0   | 2676 | 0.6460          | 70.9241 | 63.6363 | 67.8555 | 70.153    | 96.9212  |
| 0.3358        | 4.0   | 3568 | 0.6565          | 69.9002 | 62.4    | 66.5928 | 69.0347   | 101.8745 |
| 0.1973        | 5.0   | 4460 | 0.7478          | 72.0587 | 64.7973 | 68.9279 | 71.3028   | 99.3765  |


### Framework versions

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