atsuki-yamaguchi
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README.md
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base_model: google/gemma-2-9b
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library_name: transformers
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# Gemma2 9B for Burmese: 500 target vocabulary size + Mean target vocabulary initialization +
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This model is built on top of Gemma2 9B adapted for Burmese using 30K target language sentences sampled from CC-100.
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* **Vocabulary**: This model has an additional 500 target vocabulary.
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* **Target vocabulary initialization**: The target weights of the embedding were initialized using Mean initialization.
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* **Training**: This model was additionally pre-trained on 30K target language sentences sampled from CC-100. The training was conducted with the
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## Model Description
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base_model: google/gemma-2-9b
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library_name: transformers
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---
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# Gemma2 9B for Burmese: 500 target vocabulary size + Mean target vocabulary initialization + 2x2LS/MTP/512 training
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This model is built on top of Gemma2 9B adapted for Burmese using 30K target language sentences sampled from CC-100.
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* **Vocabulary**: This model has an additional 500 target vocabulary.
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* **Target vocabulary initialization**: The target weights of the embedding were initialized using Mean initialization.
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* **Training**: This model was additionally pre-trained on 30K target language sentences sampled from CC-100. The training was conducted with the 2x2LS/MTP/512 strategies introduced in the paper.
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## Model Description
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