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