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Finetune

This model is a finetune of the Helsinki-NLP/opus-mt-en-ro model, on ccmatrix(full) dataset.

How to use

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("BlackKakapo/opus-mt-en-ro")
model = AutoModelForSeq2SeqLM.from_pretrained("BlackKakapo/opus-mt-en-ro")

Benchmarks

Model Test Dataset BLEU Translation Length Reference Length
BlackKakapo/opus-mt-en-ro ("Helsinki-NLP/tatoeba_mt", "eng-ron", "test") 0.53118 40516 40352
Helsinki-NLP/opus-mt-en-ro ("Helsinki-NLP/tatoeba_mt", "eng-ron", "test") 0.45844 39222 40352
Helsinki-NLP/opus-tatoeba-en-ro ("Helsinki-NLP/tatoeba_mt", "eng-ron", "test") 0.46994 39423 40352
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Datasets used to train BlackKakapo/opus-mt-en-ro

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