Update README.md

README.md

@@ -32,7 +32,7 @@ The shared ResNet torso branches into two specialized heads:
  * **Value Head (v):** Outputs a single scalar value, typically between -1.0 (Black is winning) and +1.0 (White is winning). This score represents the network's prediction of the final game outcome from the current position.
 
 ## **Training:** 
-The model is trained on small dataset from high-quality PGN of games. The model is trained on 50.000 games during 50 hours on RTX4060. This model acctually is evaluate around 1000 Elo (without MCTS). Training uses the PyTorch framework with advanced optimization techniques, including a OneCycleLR learning rate scheduler for accelerated convergence and a large batch size of 1024.
+The model is trained on small dataset from high-quality PGN of games. The model is trained on 50.000 games during 50 hours on RTX4060. This model acctually is evaluate around 1500 Elo (without MCTS). Training uses the PyTorch framework with advanced optimization techniques, including a OneCycleLR learning rate scheduler for accelerated convergence and a large batch size of 1024.
 
 ## **Usage:**