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README.md

@@ -6,7 +6,7 @@ language:
 base_model: google/gemma-2-9b
 library_name: transformers
 ---
-# Gemma2 9B for Burmese: 100 target vocabulary size + Random target vocabulary initialization + T&B2LS/MTP/512 training
+# Gemma2 9B for Burmese: 100 target vocabulary size + Random target vocabulary initialization + 2x2LS/MTP/512 training
 
 This model is built on top of Gemma2 9B adapted for Burmese using 30K target language sentences sampled from CC-100.
 
@@ -14,7 +14,7 @@ This model is built on top of Gemma2 9B adapted for Burmese using 30K target lan
 
 * **Vocabulary**: This model has an additional 100 target vocabulary.
 * **Target vocabulary initialization**: The target weights of the embedding were initialized using Random initialization.
-* **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.
+* **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.
 
 ## Model Description