Update README.md

README.md

@@ -9,17 +9,17 @@ Named after the ancient Greek god of the sea, our Nereus models are specialized
 The models were developed in collaboration with world-leading SAR experts from [Ifremer](https://en.ifremer.fr/).
 
 #### Current Models
-- **nereus-sar-1**: Our flagship foundation model
+- **nereus-sar-1**: Our super lightweight foundation model
   - Trained on 10 years of Sentinel-1 Wave Mode data
   - State-of-the-art performance on ocean analysis tasks
   - Available architectures:
-    - ResNet50 (75.5% TenGeoP accuracy)
-    - ViT-S/16 (78.6% TenGeoP accuracy) (on-demand)
-    - ViT-S/8 (82.1% TenGeoP accuracy)  (on-demand)
-    - ViT-B/8 (83.6% TenGeoP accuracy)  (on-demand)
+    - ResNet50 (75.5% TenGeoP accuracy in linear probing)
+    - ViT-S/16 (78.6% TenGeoP accuracy in linear probing) (on-demand)
+    - ViT-S/8 (82.1% TenGeoP accuracy in linear probing)  (on-demand)
+    - ViT-B/8 (83.6% TenGeoP accuracy in linear probing)  (on-demand)
   - Excels at:
-    - Wind speed prediction (RMSE: 1.37 m/s | best model ViT-B/8)  
-    - Wave height estimation (RMSE: 0.63 m | best model ViT-B/8)
+    - Wind speed prediction (RMSE: 1.37 m/s in linear probing | best model ViT-B/8)  
+    - Wave height estimation (RMSE: 0.63 m in linear probing | best model ViT-B/8)
     - Geophysical phenomena classification
     - Many others (benchmarks coming soon)