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OPUS-MT-tiny-ita-eng

Distilled model from a Tatoeba-MT Teacher: OPUS-MT-models/it-en/opus-2019-12-18, 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_ita-eng", max_length=256)
>>> pipe("Ciao, come sta?")

Benchmarks

Teacher

testset BLEU chr-F COMET
Flores+ 29.4 60.0 0.8416
Bouquet 52.4 70.3 0.8824

Student

testset BLEU chr-F COMET
Flores+ - - -
Bouquet - - -
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Datasets used to train Helsinki-NLP/opus-mt_tiny_ita-eng

Collection including Helsinki-NLP/opus-mt_tiny_ita-eng