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README.md
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@@ -5,7 +5,6 @@ language:
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- ami
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metrics:
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- bleu
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- chrf
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base_model:
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- facebook/nllb-200-distilled-600M
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pipeline_tag: translation
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The model was fit with a custom tokenizer and language tag for Amis and additional Traditional Chinese tokens.
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The model was trained on roughly ~90k sentence pairs for 50k Epochs until validation loss plateaued
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- ami
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metrics:
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- bleu
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base_model:
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- facebook/nllb-200-distilled-600M
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pipeline_tag: translation
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The model was fit with a custom tokenizer and language tag for Amis and additional Traditional Chinese tokens.
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The model was trained on roughly ~90k sentence pairs for 50k Epochs until validation loss plateaued
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## Evaluation
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The mode was evaluated on 1,500 test sentence pairs bidirectionally
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#### BLEU
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Amis -> Chinese: **23.83** 31.5/27.1/21.9/17.3
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Chinese -> Amis: **15.15** 38.5/17.9/10.6/7.2
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