Update README.md

README.md

@@ -14,9 +14,9 @@ short_description: CataLlama models official page
 
 CataLlama was trained on roughly **445 million new tokens** in three separate stages:
 
-- *Language engancement* with raw text - we could also call this "continued pre-training" at a very small scale.
-- *Supervised fine-tuning* on instructions consisting of 70% Catalan Language and 30% English Language.
-- *DPO fine-tuning* on preferences consisting of 70% Catalan language and 30% English Language.
+- **Language engancement** with raw text - we could also call this "continued pre-training" at a very small scale.
+- **Supervised fine-tuning** on instructions consisting of 70% Catalan Language and 30% English Language.
+- **DPO fine-tuning** on preferences consisting of 70% Catalan language and 30% English Language.
 
 **Note:** This model is not intended to beat benchmarks, but to demonstrate techniques for augmenting LLMs on new languages and preserve rare languages as part of our world heritage.