Update README.md

README.md

@@ -33,15 +33,12 @@ This model is part of the Ettin suite - the first collection of paired encoder-o
   - [Encoder Models](#encoder-models)
   - [Decoder Models](#decoder-models)
   - [Cross-Objective Models](#cross-objective-models)
-- [Accessing Training Checkpoints](#accessing-training-checkpoints)
 - [Research Applications](#research-applications)
 - [Training Details](#training-details)
 - [Model Architecture](#model-architecture)
-- [Usage Examples](#usage-examples)
-- [Fine-tuning Examples](#fine-tuning-examples)
 - [Citation](#citation)
 
-## 📊 Performance Highlights
+## Performance Highlights
 
 ### Encoder Tasks (vs. ModernBERT)
 - **GLUE Average**: 88.9 vs 88.4 (Base), 90.8 vs 90.4 (Large)
@@ -56,7 +53,7 @@ This model is part of the Ettin suite - the first collection of paired encoder-o
 ### Key Finding
 **Architecture-specific advantages persist**: A 400M encoder outperforms a 1B decoder on classification tasks, while a 400M decoder outperforms a 1B encoder on generation tasks.
 
-## 🚀 Quick Start
+## Quick Start
 
 ### Installation