Update README.md

README.md

@@ -35,7 +35,7 @@ Most commercial OCR systems (like Google Vision) achieve a CER of 4–5% on simi
 | ⏱️ Time per Image | 0.31 seconds | 0.57 seconds | +84% slower |
 | 🚀 Images per Second | 3.23 images | 1.75 images | -46% throughput |
 | ⚡ Relative Performance | 100% | 54% | -46 percentage points |
-### ❌ **Note:** I do not recommend using the quantized model for sensitive and important data. The 4-bit quantum model improves memory usage by about 50% and There is a 2-3% difference between this and the basic model for small text values, and this difference increases to 15-20% for complex data. It performs with up to 100% efficiency on printed data.  
+### ❌ **Note:** I do not recommend using the quantized model for sensitive and important data. The 4-bit quantum model improves memory usage by about 50% and There is a 2-3% difference between this and the basic model for small text values, and this difference increases to 15-20% for complex dataIt can sometimes reach 40% It performs with up to 100% efficiency on printed data.  
 
 
 ## 🎯 Overview