---
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
datasets:
- nusatranslation_mt
metrics:
- sacrebleu
model-index:
- name: bataknese_to_indonesian_translation_model
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: nusatranslation_mt
      type: nusatranslation_mt
      config: nusatranslation_mt_btk_ind_source
      split: test
      args: nusatranslation_mt_btk_ind_source
    metrics:
    - name: Sacrebleu
      type: sacrebleu
      value: 38.2568
---

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

This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the nusatranslation_mt dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1374
- Sacrebleu: 38.2568
- Gen Len: 37.038

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
| 1.3614        | 1.0   | 1650 | 1.2446          | 34.5237   | 37.422  |
| 1.084         | 2.0   | 3300 | 1.1432          | 36.815    | 36.943  |
| 0.9262        | 3.0   | 4950 | 1.1174          | 37.8117   | 37.5185 |
| 0.8112        | 4.0   | 6600 | 1.1249          | 38.2017   | 37.1395 |
| 0.7194        | 5.0   | 8250 | 1.1374          | 38.2568   | 37.038  |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.13.1
- Tokenizers 0.14.1