language:
- gos
- nld
- nl
- gos
datasets:
- Tom9358/tatoeba_21-dec-2024
base_model:
- facebook/nllb-200-distilled-1.3B
pipeline_tag: translation
tags:
- language
- linguistics
- low-resource
- translation
- tatoeba
- nllb
- machine-translation
- gronings
Consider this an early beta version. I used sentence pairs from https://tatoeba.org/ to finetune an NLLB model for Gronings.
I am a linguist and speaker of Gronings so I carried out evaluation by expert's eyeball. I haven't thoroughly investigated the performance by means of BLEU scores or anything for this version. Nonetheless, I found the performance to be not terrible and thus decided to publish. The model is very likely not optimal in terms of hyperparameters, so I am planning to upload an even better version in the future. See https://github.com/tom9358/nllb-tryout for everything (code, more documentation and references) except the model itself
A (rather slow, but at least free and accessible to everyone) way to try out the model: https://colab.research.google.com/drive/1b5dn3VT4fvOBKly1CIx4Qwo59GDM1H-M