Update README.md

README.md

@@ -110,3 +110,40 @@ inputs = tokenizer(prompt, return_tensors="pt")
 outputs = model.generate(**inputs, max_new_tokens=120)
 
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+---
+## Evaluation
+## Testing Data, Factors & Metrics
+## Testing Data
+
+Held-out automotive technician QA samples from the same domain.
+
+## Factors
+
+Customer complaint handling
+
+Diagnostic reasoning
+
+Spare part replacement logic
+
+Service workflow understanding
+
+## Metrics
+
+Perplexity
+
+Instruction-following accuracy
+
+Manual domain evaluation
+
+## Results
+
+Strong performance on workshop troubleshooting queries
+
+Accurate step-by-step diagnostic suggestions
+
+Fast inference on CPU
+
+## Summary
+
+The fine-tuned model shows clear domain adaptation compared to the base SmolLM2 model, especially for automotive service workflows.