Update README.md

README.md

@@ -16,11 +16,11 @@ BLING models are fine-tuned with high-quality custom instruct datasets, designed
 Evaluated against the benchmark test:   [RAG-Instruct-Benchmark-Tester](https://www.huggingface.co/datasets/llmware/rag_instruct_benchmark_tester)  
 Average of 2 Test Runs with 1 point for correct answer, 0.5 point for partial correct or blank / NF, 0.0 points for incorrect, and -1 points for hallucinations.  
 
---**Accuracy Score**:  **93.5** correct out of 100  
+--**Accuracy Score**:  **93.0** correct out of 100  
 --Not Found Classification:  95.0%  
---Boolean:  80.0%  
---Math/Logic:  80.0%  
---Complex Questions (1-5):  3 (Medium-High: multiple choice, table reading, causal)  
+--Boolean:  85.0%  
+--Math/Logic:  82.5%  
+--Complex Questions (1-5):  3 (Above Average - multiple-choice, causal)  
 --Summarization Quality (1-5):  3 (Coherent, extractive)  
 --Hallucinations:  No hallucinations observed in test runs.