Update README.md

README.md

@@ -5,7 +5,7 @@ base_model:
 pipeline_tag: image-to-text
 ---
 
-# Model Card for IDEA-OCSR
+# IDEA-OCSR
 IDEA-OCSR is a deep learning model designed for Optical Chemical Structure Recognition (OCSR) tasks. This model is built upon the MolScribe architecture and has been enhanced through specialized training focused on resolving complex molecular structures.
 
 ## Model Summary
@@ -16,7 +16,7 @@ Due to commercial patent restrictions, we are releasing the model weights in a f
 ## Key Improvements
 - **Enhanced Complex Scenarios**: There is a significant improvement in recognition accuracy for multi-cyclic structures and chiral molecules as well as other highly complex molecular graphs.
 
-- **Optimized Algorithms**: We have implemented advanced logic for the image input stage and refined the postprocessing validation for decoded molecular topologies. Please note that the specific source code for these optimized algorithms is currently not open source.
+- **Optimized Algorithms**: We have implemented advanced logic for the image input stage and refined the postprocessing validation for decoded molecular topologies. Please note that the specific source code for these optimized algorithms is currently not open source. Furthermore, because these proprietary postprocessing algorithms are not included in this release, the final inference performance using these weights alone will be slightly lower than the benchmarks achieved by IDEA-OCSR weight.
 
 - **Superior Performance**: The model achieves higher benchmarks compared to the original version across various public datasets.