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  license: cc-by-4.0
 
 
 
 
 
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  license: cc-by-4.0
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+ language:
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+ - en
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+ - ko
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+ tags:
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+ - translation
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  ---
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+
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+ I only did ctranslate2 convert to the original.
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+ cmd> ct2-transformers-converter --model NHNDQ/nllb-finetuned-en2ko --quantization float16 --output_dir NHNDQ-nllb-finetuned-en2ko-st
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+ All copyrights belong to the original authors and the CT model may be deleted upon request. Below is the original model information.
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+ Original URL : https://huggingface.co/NHNDQ/nllb-finetuned-en2ko
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+ ## Model Details
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+ * Model Description: Fine-tuned facebook/nllb-200-distilled-600M-st model
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+ * Developed by: DanielHeo
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+ *
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+ ## Original Model Details
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+ * Model Description: Fine-tuned facebook/nllb-200-distilled-600M model
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+ * Developed by: Jisu Kim, Juhwan Lee, TakSung Heo, and Minsu Jeong
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+ * Model Type: Translation
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+ * Language(s):
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+ * Source Language: English
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+ * Target Language: Korean
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+ * License: CC-BY-4.0
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+
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+ ## Dataset
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+ * [AI-hub dataset](https://www.aihub.or.kr/)
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+
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+ ## BLEU Score
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+ * Deepl translation: 22.83
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+ * Fine-tune nllb: 33.66
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+
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+ ## Uses
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+ This model can be used for translation and text-to-text generation
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+ ## Data Augmentation with backtranslation task
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+ You can exercise korean data augmentation task with python package [KoTAN](https://github.com/KoJLabs/KoTAN/tree/main)