Update README.md

README.md

@@ -56,10 +56,20 @@ The model was fine-tuned with the following hyperparameters:
 - **Mixed Precision**: FP16
 - **Best Model Criteria**: `eval_loss`, with `greater_is_better=False`
 
+### LoRA Hyperparameters
+
+The fine-tuning process also included the following LoRA (Low-Rank Adaptation) configuration:
+
+- **Rank (r)**: 8
+- **Alpha**: 16
+- **Dropout**: 0.05
+- **Bias**: None
+- **Task Type**: Causal Language Modeling (CAUSAL_LM)
+
 Validation was performed using a separate subset of the dataset. The final training and validation loss are as follows:
 
 <p align="center">
-  <img src="train-val-curve.png" alt="Training and Validation Loss" width="45%"/>
+  <img src="train-val-curve.png" alt="Training and Validation Loss" width="85%"/>
 </p>
 
 ## Evaluation Results