Update README.md

README.md

@@ -110,8 +110,8 @@ Output:
 1. **Framework:** The fine-tuning was conducted using [Unsloth](https://github.com/unsloth/unsloth), a LoRA-based fine-tuning library.
 2. **Steps:**
    - Initialized the Llama-3.1-8B-Instruct model.
-   - Applied LoRA adapters for efficient training.
-   - Fine-tuned using the Luxembourgish CoT dataset on the Meluxina HPC cluster.
+   - Applied LoRA adapters for efficient training via Unsloth.
+   - Evaluated the best checkpoints on preliminary benchmarks.
 3. **Hardware:** High-performance A100 GPUs provided by Meluxina ensured rapid convergence.
 
 ## Dataset Description