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Model Card for mt5-small nl-en translation

The mt5-small nl-en translation model is a finetuned version of google/mt5-small.

It was finetuned on 237k rows of the iwslt2017 dataset and roughly 38k rows of the opus_books dataset. The model was trained in multiple phases with different epochs & batch sizes.

How to use

Install dependencies

pip install transformers
pip install sentencepiece
pip install protobuf

You can use the following code for model inference. This model was finetuned to work with an identifier when prompted that needs to be present for the best results.

from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, GenerationConfig

# load tokenizer and model
tokenizer = AutoTokenizer.from_pretrained("Michielo/mt5-small_nl-en_translation")
model = AutoModelForSeq2SeqLM.from_pretrained("Michielo/mt5-small_nl-en_translation")

# tokenize input
inputs = tokenizer(">>en<< Your Dutch text here", return_tensors="pt")
# calculate the output
outputs = model.generate(**inputs, generation_config=generation_config)
# decode and print
print(tokenizer.batch_decode(outputs, skip_special_tokens=True))

Benchmarks

Benchmark Score
BLEU 51.92%
chr-F 67.90%
chr-F++ 67.62%

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

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Datasets used to train Michielo/mt5-small_nl-en_translation