Update README.md

README.md

@@ -13,6 +13,21 @@ the objective of providing a high-quality Instruct model that is 'inference-read
 without using any advanced quantization optimizations.
 
 
+### Benchmark Tests  
+
+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**:  **92.0** correct out of 100  
+--Not Found Classification:  45.0%  
+--Boolean:  75.0%  
+--Math/Logic:  20.0%  
+--Complex Questions (1-5):  2 (Low-Medium)  
+--Summarization Quality (1-5):  3 (Coherent, extractive)  
+--Hallucinations:  No hallucinations observed in test runs.  
+
+For test run results (and good indicator of target use cases), please see the files ("core_rag_test" and "answer_sheet" in this repo).
+
 ### Model Description
 
 <!-- Provide a longer summary of what this model is. -->
@@ -85,7 +100,7 @@ my_prompt = {{text_passage}} + "\n" + {{question/instruction}}
 
 Darren Oberst & llmware team
 
-Please reach out anytime if you are interested in this project and would like to participate and work with us!
+Please reach out anytime if you are interested in this project!