Update README.md

README.md

@@ -16,10 +16,10 @@ DRAGON models are fine-tuned with high-quality custom instruct datasets, designe
 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**:  **99.0** correct out of 100  
---Not Found Classification:  95.0%  
---Boolean:  82.5%  
---Math/Logic:  70.0%  
+--**Accuracy Score**:  **97.25** correct out of 100  
+--Not Found Classification:  92.50%  
+--Boolean:  95.00%  
+--Math/Logic:  63.75%  
 --Complex Questions (1-5):  4 (Low-Medium)  
 --Summarization Quality (1-5):  4 (Coherent, extractive)  
 --Hallucinations:  No hallucinations observed in test runs.  
@@ -113,12 +113,6 @@ If you are using a HuggingFace generation script:
 
     output_only = tokenizer.decode(outputs[0][start_of_output:],skip_special_tokens=True)  
 
-    #   note: due to artifact of the fine-tuning, use this post-processing with HF generation 
-
-    eot = output_only.find("<|endoftext|>")
-    if eot > -1:
-        output_only = output_only[:eot]
-
 
 ## Model Card Contact