---
license: mit
base_model: indobenchmark/indobart-v2
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: indobart-en-id
  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. -->

# indobart-en-id

This model is a fine-tuned version of [indobenchmark/indobart-v2](https://huggingface.co/indobenchmark/indobart-v2).
It achieves the following results on the evaluation set:
- Loss: 0.4035
- Bleu: 20.4747
- Gen Len: 19.134

## Model description

Trained on the Asian Language Treebank Project Corpus (en-id). The goal of the model is to translate from English to Indonesian.

## Training and evaluation data

The ALT Project Corpus has over 20,000 entries of English to Indonesian sentences. The training and evaluation data is split 80/20.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.914         | 1.0   | 503  | 0.5118          | 14.8205 | 19.2874 |
| 0.5805        | 2.0   | 1006 | 0.4606          | 17.2483 | 19.236  |
| 0.4971        | 3.0   | 1509 | 0.4370          | 18.4965 | 19.2449 |
| 0.4444        | 4.0   | 2012 | 0.4251          | 19.3336 | 19.1765 |
| 0.4037        | 5.0   | 2515 | 0.4152          | 19.6643 | 19.1648 |
| 0.3732        | 6.0   | 3018 | 0.4103          | 20.0701 | 19.1987 |
| 0.3503        | 7.0   | 3521 | 0.4066          | 20.1264 | 19.1258 |
| 0.3325        | 8.0   | 4024 | 0.4040          | 20.5349 | 19.1571 |
| 0.3207        | 9.0   | 4527 | 0.4041          | 20.4371 | 19.1348 |
| 0.3116        | 10.0  | 5030 | 0.4035          | 20.4747 | 19.134  |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3