Update README.md

README.md

@@ -16,7 +16,7 @@ This is a crude proof of concept (PoC) demonstrating the feasibility of fine-tun
 - **Trained number of Tokens:** ca. 1T
 - **Created by:** Gökdeniz Gülmez
 - **Fine-Tune Dataset:** Offline private dataset
-- **DPO Dataset:** Offline private dataset
+- **DPO/ORPO Dataset:** Offline private dataset
 - **Prompt Template:**
 
   ```text
@@ -44,9 +44,9 @@ This is a crude proof of concept (PoC) demonstrating the feasibility of fine-tun
 - The training process may require significant memory and computational resources despite optimizations.
 - Further work is needed to explore distributed training and mixed-precision techniques for better performance on Apple Silicon.
 
-## DPO Training
+## ORPO Training
 
-DPO training is not yet available in the official `mlx-examples` repository. To use it, you will need to clone and work from my fork:
+ORPO training is not yet available in the official `mlx-examples` repository. To use it, you will need to clone and work from my fork:
 [https://github.com/Goekdeniz-Guelmez/mlx-examples.git](https://github.com/Goekdeniz-Guelmez/mlx-examples.git)
 
 ## Future Improvements