Update README.md

README.md

@@ -90,7 +90,7 @@ You can fine-tune the model on tile-level downstream tasks.
 - **Training length:** 100,000 iterations with a batch size of 4,096
 - **Model architecture:** ViT-Large (0.3B params): Patch size 16, embedding dimension 1024, 16 heads, MLP FFN
 - **Hardware used:** 32x4 Nvidia V100 32GB
-- **Hours trained ??:** Approx 4,300 GPU hours (33 hours total)
+- **Hours trained:** Approx 4,300 GPU hours (33 hours total)
 - **Platform**: French supercluster Jean-Zay
 
 ## Software Dependencies