---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: indo-t5-base-v2-nusax
  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. -->

# indo-t5-base-v2-nusax

This model is a fine-tuned version of [lazarus-project/indo-t5-base-v2](https://huggingface.co/lazarus-project/indo-t5-base-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5238
- Bleu: 3.2043
- Gen Len: 18.62

## 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: 0.0002
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 256
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 1.8317        | 2.33  | 500  | 2.4804          | 3.1525 | 18.6295 |
| 1.4375        | 4.65  | 1000 | 2.5238          | 3.2043 | 18.62   |


### Framework versions

- Transformers 4.27.1
- Pytorch 2.0.0+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2