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

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the lazarus-project/alkitab-sabda-mt dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5099
- Bleu: 15.1824
- Gen Len: 56.1138

## 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: 0.0008
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 16
- total_train_batch_size: 4096
- 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: 10000

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 1.3756        | 1.56  | 5000  | 1.5355          | 2.3992 | 18.9403 |
| 1.1295        | 3.11  | 10000 | 1.5099          | 2.543  | 18.9389 |


### Framework versions

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