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NMT_da-en_translator
MichaelHarborg/NMT_da-en_translator
NMT_da-en_translator is a machine learning model from MichaelHarborg. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
Transformer model based on Vaswani et al., 2017 for Danish-English Neural Machine Translation.
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At a glance
- Library
- transformers
- License
- mit
- Model type
- marian
- Access
- Public
- Created
- Jan 2, 2023
- Updated
- Jan 4, 2023
- SHA
- a4b96309
Model card
From the Hugging Face model README
Transformer model based on Vaswani et al., 2017 for Danish-English Neural Machine Translation.
It has ~74M parameters and is a fine-tuned version of Helsinki-Opus-NLP da-en.
The model achieves a BLEU score of 49.16 on a hold-out test set for the TED2020 dataset (in-domain dataset).
The model achieves a BLEU score of 44.16 on a hold-out test set for the for CCAligned and Wikimatrix (out-of-domain dataset).
This outperforms the baseline Opus model, which achieved BLEU scores of 46.74 and 42.31 on the in-domain and out-of-domain data respectively.
Note: When running inference "_" characters can sometimes replace spaces.
- Library
- transformers
- Type
- marian
- License
- mit
- Created
- Jan 2, 2023
- Updated
- Jan 4, 2023