Helsinki-NLP/opus-mt_tiny_eng-rus

OPUS-MT-tiny-rus-eng

Distilled model from a Tatoeba-MT Teacher: OPUS-MT-models/en-ru/opus-2020-02-11, which has been trained on the Tatoeba dataset.

We used the OpusDistillery to train new a new student with the tiny architecture, with a regular transformer decoder. For training data, we used Tatoeba. The configuration file fed into OpusDistillery can be found here.

How to run

>>> from transformers import pipeline
>>> pipe = pipeline("translation", model="Helsinki-NLP/opus-mt_tiny_eng-rus", max_length=256)
>>> pipe("Hello, how are you?")

Benchmarks

Teacher

testset	BLEU	chr-F	COMET
Flores+	25.8	53.9	0.8459
Bouquet	31.8	55.3	0.8685

Student

testset	BLEU	chr-F	COMET
Flores+
Bouquet