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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 Sinhala: 100 target vocabulary size + Mean target vocabulary initialization + T&B2LS/MTP/512 training
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  This model is built on top of Gemma2 9B adapted for Sinhala using 30K target language sentences sampled from CC-100.
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@@ -14,7 +14,7 @@ This model is built on top of Gemma2 9B adapted for Sinhala using 30K target lan
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  * **Vocabulary**: This model has an additional 100 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 T&B2LS/MTP/512 strategies introduced in the paper.
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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 Sinhala: 100 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 Sinhala using 30K target language sentences sampled from CC-100.
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  * **Vocabulary**: This model has an additional 100 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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