Helsinki-NLP/opus-mt_tiny_fra-eng

OPUS-MT-tiny-fra-eng

Distilled model from a Tatoeba-MT Teacher: OPUS-MT-models/fr-en/opus-2020-02-26, 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 MarianMTModel, MarianTokenizer
model_name = "Helsinki-NLP/opus-mt_tiny_fra-eng"
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = MarianMTModel.from_pretrained(model_name)
tok = tokenizer("Les efforts visant à trouver le lieu de l’accident sont restreints par des intempéries et le terrain accidenté.", return_tensors="pt").input_ids
output = model.generate(tok)[0]
tokenizer.decode(output, skip_special_tokens=True)

Benchmarks

Teacher

testset	BLEU	chr-F	COMET
Flores+	41.8	66.9	0.8689
Bouquet	43.5	64.5	0.875

Student

testset	BLEU	chr-F	COMET
Flores+	40.4	65.9	0.8734
Bouquet	39.9	61.9	0.8551