Update README.md

README.md

@@ -19,7 +19,7 @@ metrics:
 
 ## Performance Analysis
 
-The following table compares **THIVLVC** against major industry standards across the five Universal Dependencies (UD) Latin benchmarks.
+The following table compares **THIVLVC** against industry standards on the five Universal Dependencies (UD) Latin benchmarks.
 
 | Benchmark | **THIVLVC** | UDPipe 2.0 | Trankit (XLM-R) | Stanza (v1.5) | GreTa (T5) |
 | :--- | :---: | :---: | :---: | :---: | :---: |
@@ -56,14 +56,4 @@ def lemmatize(text):
 print(lemmatize("Amorem canat"))
 ```
 
-## Dataset and Training
-
-- **Model Architecture**: ByT5-base
-- **Author**: Luc Pommeret
-- **Institution**: LISN (CNRS, Université Paris-Saclay)
-- **Training Data**: Unified corpus including Universal Dependencies gold standard, massive silver data from the Latin Library, and targeted distillation from Gemini.
-- **Scope**: Unified lemmatization across multiple historical periods and genres of Latin.
-
-## Acknowledgments
-
 This model was produced by **Luc Pommeret** at LISN (CNRS, Université Paris-Saclay).