[fix] revert reward update and evaluation (#6295)

* Revert "rewrite reward fn"

This reverts commit d06042b434.

* Revert "upgrade reward math verification"

This reverts commit a6085ff676.

* Revert "fix bug"

This reverts commit 01640ebd65.

* Revert "reuse comm-group"

This reverts commit bd61918dcf.

* Revert "Support evaluation during training"

This reverts commit 57a88395fe.

applications/ColossalChat/coati/distributed/grpo_consumer.py

@@ -40,7 +40,6 @@ class GRPOConsumer(BaseConsumer):
         project_name=None,
         save_interval: int = 100,
         save_dir="./model",
-        eval_interval: int = -1,
     ):
         print(f"Using GRPO config: {grpo_config}")
         if grpo_config.get("loss_variation", "sample_level") == "token_level":
@@ -73,7 +72,6 @@ class GRPOConsumer(BaseConsumer):
             minibatch_size,
             save_interval=save_interval,
             save_dir=save_dir,
-            eval_interval=eval_interval,
         )
         path = model_config.pop("path")
         self.policy_model = AutoModelForCausalLM.from_pretrained(path, **model_config)
@@ -530,5 +528,4 @@ class GRPOConsumer(BaseConsumer):
         self.policy_model._force_wait_all_gather()
         model = self.policy_model.unwrap()
         state_dict = model.state_dict()
-        state_dict["consumer_global_step"] = torch.tensor([self.global_step], device=self.device)
         return state_dict