# opus-2019-12-05.zip

* dataset: opus
* model: transformer
* pre-processing: normalization + tokenization + BPE
* download: [opus-2019-12-05.zip](https://object.pouta.csc.fi/OPUS-MT-models/id-en/opus-2019-12-05.zip)
* test set translations: [opus-2019-12-05.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-en/opus-2019-12-05.test.txt)
* test set scores: [opus-2019-12-05.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-en/opus-2019-12-05.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.id.en 	| 36.9 	| 0.589 |

# opus-2019-12-18.zip

* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/id-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-en/opus-2019-12-18.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.id.en 	| 47.7 	| 0.647 |