---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: indo-t5-base-nusax
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# indo-t5-base-nusax

This model is a fine-tuned version of [lazarus-project/indo-t5-base](https://huggingface.co/lazarus-project/indo-t5-base) on the lazarus-project/NusaX-MT dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2604
- Bleu: 19.701
- Gen Len: 48.7964

## 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: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 1.8951        | 3.01  | 250  | 2.2655          | 3.9246 | 18.6281 |
| 1.5435        | 6.02  | 500  | 2.2604          | 4.1139 | 18.6052 |


### Framework versions

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