Update README.md

README.md

@@ -24,7 +24,7 @@ We are thrilled to introduce a specialised suite of **68 large language models (
 - **Time-Period Specific Models:** Separate models are pre-trained for each year from **2007 to 2023**, ensuring the utmost precision and historical relevance.
 - **RoBERTa Architecture:** The suite includes both a **base model** with **125 million parameters** and a **smaller variant** with **51 million parameters**.
 - **Two distinct pre-training durations:** We also introduce a series of models to explore the impact of futher pre-training.
-- **Accessibility:** The models are pre-trained using BF16, but are released in FP32 format to ensure they are accessible to a broader community, including those without high-end GPUs.
+- **Accessibility:** The models are pre-trained using **BF16**, but are released in **FP32** format to ensure they are accessible to a broader community, including those without high-end GPUs.
 
 Stay tuned for upcoming updates and new features for FinText. We expect to launch stages 2 and 3 within the next 9 months. 🎉