---
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
language:
- ind
datasets:
- GEM/indonlg
metrics:
- bleu
- sacrebleu
model-index:
- name: IndoNanoT5-base-XPersona
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: indonlg
      type: indonlg
      config: xpersona
      split: test
      args: xpersona
    metrics:
    - name: Bleu
      type: bleu
      value: 4.0669
    - name: Sacrebleu
      type: sacrebleu
      value: 4.0669
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# LazarusNLP/IndoNanoT5-base-XPersona

This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on the indonlg dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8372
- Bleu: 4.0669
- Sacrebleu: 4.0669

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu   | Sacrebleu |
|:-------------:|:-----:|:------:|:---------------:|:------:|:---------:|
| 1.9872        | 1.0   | 15516  | 1.8482          | 3.7015 | 3.7015    |
| 1.888         | 2.0   | 31032  | 1.8434          | 4.0409 | 4.0409    |
| 1.8207        | 3.0   | 46548  | 1.8347          | 4.1239 | 4.1239    |
| 1.7716        | 4.0   | 62064  | 1.8340          | 4.3231 | 4.3231    |
| 1.6948        | 5.0   | 77580  | 1.8443          | 4.4283 | 4.4283    |
| 1.6442        | 6.0   | 93096  | 1.8563          | 4.5338 | 4.5338    |
| 1.5856        | 7.0   | 108612 | 1.8782          | 4.3033 | 4.3033    |
| 1.5451        | 8.0   | 124128 | 1.8930          | 4.3286 | 4.3286    |
| 1.5056        | 9.0   | 139644 | 1.9207          | 4.2773 | 4.2773    |
| 1.446         | 10.0  | 155160 | 1.9406          | 4.0629 | 4.0629    |
| 1.406         | 11.0  | 170676 | 1.9636          | 4.1382 | 4.1382    |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.1