diff --git a/examples/rlhf/train.py b/examples/rlhf/train.py
index 2e554f3edb9..6d9e758503d 100644
--- a/examples/rlhf/train.py
+++ b/examples/rlhf/train.py
@@ -62,7 +62,7 @@ def main(cfg):
     dtype = cfg.sys.dtype
     compile_ = cfg.sys.compile
 
-    ctx = setup(device=device, dtype=dtype)
+    ctx = setup(cfg.sys)
 
     train_loader = get_dataloader(
         data_cfg.batch_size,
diff --git a/examples/rlhf/train_reward.py b/examples/rlhf/train_reward.py
index e16fbf45474..75d3ad86adc 100644
--- a/examples/rlhf/train_reward.py
+++ b/examples/rlhf/train_reward.py
@@ -65,7 +65,7 @@ def main(cfg):
     dtype = cfg.sys.dtype
     compile_ = cfg.sys.compile
 
-    ctx = setup(device=device, dtype=dtype)
+    ctx = setup(cfg.sys)
 
     train_loader = get_dataloader(
         data_cfg.batch_size,
diff --git a/examples/rlhf/utils.py b/examples/rlhf/utils.py
index 198b2e72bcb..d9a3ce42d48 100644
--- a/examples/rlhf/utils.py
+++ b/examples/rlhf/utils.py
@@ -130,7 +130,7 @@ def __init__(
     ):
         self.reward_estimator = reward_estimator
         self.model = model
-        self.promp_logger = prompt_logger
+        self.prompt_logger = prompt_logger
         self.io_cfg = io_cfg
         self.eval_interval = io_cfg.eval_interval
         self.log_interval = io_cfg.log_interval
@@ -154,7 +154,7 @@ def maybe_evaluate(self):
                 val_reward = self.reward_estimator(self.model, self.val_loader)
                 self.prompt_logger.log(self.model)
             self.val_reward_logger.info(f"VALID: {self.it=}: {val_reward=:.4f}")
-            self.logger.log_scalar({"val_reward": val_reward}, step=self.it)
+            self.logger.log_scalar("val_reward", val_reward, step=self.it)
             # pbar.set_description(f"VALID: {it=}: {val_reward=:.4f}")
             if val_reward > self.best_val_reward:
                 self.best_val_reward = val_reward