reduce cob model to 400m

config.yaml

@@ -199,13 +199,13 @@ memory:
   
 # Real-time RL COB Trader Configuration
 realtime_rl:
-  # Model parameters for 1B parameter network
+  # Model parameters for 400M parameter network (faster startup)
   model:
     input_size: 2000          # COB feature dimensions
-    hidden_size: 4096         # Massive hidden layer size
-    num_layers: 12            # Deep transformer layers
-    learning_rate: 0.00001    # Very low for stability
-    weight_decay: 0.000001    # L2 regularization
+    hidden_size: 2048         # Optimized hidden layer size for 400M params
+    num_layers: 8             # Efficient transformer layers for faster training
+    learning_rate: 0.0001     # Higher learning rate for faster convergence
+    weight_decay: 0.00001     # Balanced L2 regularization
     
   # Inference configuration  
   inference_interval_ms: 200  # Inference every 200ms