| language: | |
| - en | |
| - nl | |
| - multilingual | |
| license: cc-by-4.0 | |
| tags: | |
| - translation | |
| - opus-mt-tc | |
| model-index: | |
| - name: opus-mt-tc-base-en-nl | |
| results: | |
| - task: | |
| type: translation | |
| name: Translation eng-mld | |
| dataset: | |
| name: tatoeba-test-v2021-08-07 | |
| type: tatoeba_mt | |
| args: eng-mld | |
| metrics: | |
| - type: bleu | |
| value: 57.5 | |
| name: BLEU | |
| # Opus Tatoeba English-Dutch | |
| *This model was obtained by running the script [convert_marian_to_pytorch.py](https://github.com/huggingface/transformers/blob/master/src/transformers/models/marian/convert_marian_to_pytorch.py). The original models were trained by [J�rg Tiedemann](https://blogs.helsinki.fi/tiedeman/) using the [MarianNMT](https://marian-nmt.github.io/) library. See all available `MarianMTModel` models on the profile of the [Helsinki NLP](https://huggingface.co/Helsinki-NLP) group.* | |
| * dataset: opus+bt | |
| * model: transformer-align | |
| * source language(s): eng | |
| * target language(s): nld | |
| * model: transformer-align | |
| * pre-processing: normalization + SentencePiece (spm32k,spm32k) | |
| * download: [opus+bt-2021-04-14.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nld/opus+bt-2021-04-14.zip) | |
| * test set translations: [opus+bt-2021-04-14.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nld/opus+bt-2021-04-14.test.txt) | |
| * test set scores: [opus+bt-2021-04-14.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nld/opus+bt-2021-04-14.eval.txt) | |
| ## Benchmarks | |
| | testset | BLEU | chr-F | #sent | #words | BP | | |
| |---------|-------|-------|-------|--------|----| | |
| | Tatoeba-test.eng-nld | 57.5 | 0.731 | 10000 | 71436 | 0.986 | | |