diff --git a/example_trainer/grpo.py b/example_trainer/grpo.py
index e6ba5e56..6fb0abed 100644
--- a/example_trainer/grpo.py
+++ b/example_trainer/grpo.py
@@ -432,8 +432,8 @@ def _load_model_with_lora(config: TrainingConfig) -> torch.nn.Module:
         # Default modules for most transformer models
         target_modules = ["q_proj", "v_proj"]
 
-    print(f"[Setup] Applying LoRA: r={config.lora_r}, alpha={config.lora_alpha}")
-    print(f"[Setup] Target modules: {target_modules}")
+    print(f"Applying LoRA: r={config.lora_r}, alpha={config.lora_alpha}")
+    print(f"Target modules: {target_modules}")
 
     lora_config = LoraConfig(
         task_type=TaskType.CAUSAL_LM,
diff --git a/example_trainer/vllm_api_server.py b/example_trainer/vllm_api_server.py
index 5db8e97d..9b43b838 100644
--- a/example_trainer/vllm_api_server.py
+++ b/example_trainer/vllm_api_server.py
@@ -1,6 +1,4 @@
-# Based on https://github.com/vllm-project/vllm/blob/main/vllm/entrypoints/api_server.py
-# SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+
 """
 Custom vLLM API server with weight bridge hooks for shared-memory training.
 
@@ -232,7 +230,7 @@ async def _generate(request_dict: dict, raw_request: Request) -> Response:
     assert engine is not None
     results_generator = engine.generate(prompt, sampling_params, request_id)
 
-    # Streaming: yield results as they're generated
+    # Streaming: yield results as theyre generated
     async def stream_results() -> AsyncGenerator[bytes, None]:
         async for request_output in results_generator:
             prompt_text = request_output.prompt