Update README.md

README.md

@@ -63,6 +63,12 @@ Workflow:
 | 2. Assignment 2 Model | Fine-tuned on Silver + Gold (Simple LLM) | 0.4975369710 |
 | 3. Assignment 3 Model | Fine-tuned on Silver + Gold (QLoRA) | 0.5006382068 |
 
+### Reflection (2–3 sentences)
+
+Compared to Assignment 2, the Assignment 3 QLoRA workflow produced a small improvement in eval macro F1 (+0.0031).  
+This indicates that the advanced data-generation approach provided a measurable but modest downstream gain over the simpler Assignment 2 setup in this run.  
+However, both fine-tuned pipelines remained substantially below the frozen-embedding baseline, suggesting that data quality and labeling strategy still dominate final performance.
+
 ## Intended Use
 - Educational/research use for green patent classification experiments.
 - Binary label output: non-green (0) vs green (1).