[Fix] Add L2 Regularization (#6372)

* fix no L2 regularization error

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

Author: YeAnbang

applications/ColossalChat/coati/distributed/consumer.py

@@ -365,7 +365,7 @@ def __init__(
         self.model = AutoModelForCausalLM.from_pretrained(path, **model_config)
         self.model.train()
         self.model.gradient_checkpointing_enable()
-        self.optimizer = HybridAdam(self.model.parameters(), lr=1e-3)
+        self.optimizer = HybridAdam(self.model.parameters(), lr=1e-3, weight_decay=0.01)
         self.accum_loss = torch.zeros(1, device=self.device)
 
     def setup(self):

applications/ColossalChat/coati/distributed/grpo_consumer.py

@@ -72,7 +72,11 @@ def __init__(
         self.policy_model = AutoModelForCausalLM.from_pretrained(path, **model_config)
         self.policy_model.train()
         self.policy_model.gradient_checkpointing_enable()
-        self.optimizer = HybridAdam(self.policy_model.parameters(), lr=grpo_config.get("lr", 1e-6))
+        self.optimizer = HybridAdam(
+            self.policy_model.parameters(),
+            lr=grpo_config.get("lr", 1e-6),
+            weight_decay=grpo_config.get("weight_decay", 0.01),
+        )
         self.accum_loss = torch.zeros(1, device=self.device)
         self.accum_kl = torch.zeros(1, device=self.device)
         self.accum_entropy = torch.zeros(1, device=self.device)