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---
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
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