增大benchmark时的固定dropout和weight decay

lnp_ml/modeling/benchmark.py

@@ -289,7 +289,7 @@ def main(
     n_attn_layers: int = 4,
     fusion_strategy: str = "attention",
     head_hidden_dim: int = 128,
-    dropout: float = 0.1,
+    dropout: float = 0.3,
     # MPNN 参数
     use_mpnn: bool = False,
     mpnn_checkpoint: Optional[str] = None,
@@ -298,7 +298,7 @@ def main(
     # 训练参数
     batch_size: int = 64,
     lr: float = 1e-4,
-    weight_decay: float = 1e-5,
+    weight_decay: float = 1e-3,
     epochs: int = 50,
     patience: int = 10,
     # 设备