# opus-2020-06-17.zip

* dataset: opus
* model: transformer-align
* source language(s): por
* target language(s): cat
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.por.cat 	| 45.7 	| 0.672 |





# opus-2021-02-23.zip

* dataset: opus
* model: transformer
* source language(s): pob por
* target language(s): cat
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download: [opus-2021-02-23.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2021-02-23.zip)
* test set translations: [opus-2021-02-23.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2021-02-23.test.txt)
* test set scores: [opus-2021-02-23.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2021-02-23.eval.txt)

## Benchmarks

| testset | BLEU  | chr-F | #sent | #words | BP |
|---------|-------|-------|-------|--------|----|
| Tatoeba-test.por-cat 	| 41.5 	| 0.633 	| 729 	| 5878 	| 0.975 |