From 311ddfff4610fb547fd8391880687ec4d6088bb1 Mon Sep 17 00:00:00 2001
From: chenyushuo <297086016@qq.com>
Date: Tue, 20 Jan 2026 14:13:20 +0800
Subject: [PATCH] Fix in learn to ask (#107)

---
 tuner/learn_to_ask/README.md | 2 ++
 tuner/learn_to_ask/main.py   | 2 --
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/tuner/learn_to_ask/README.md b/tuner/learn_to_ask/README.md
index b53f384..b666585 100644
--- a/tuner/learn_to_ask/README.md
+++ b/tuner/learn_to_ask/README.md
@@ -289,6 +289,8 @@ Also, make sure to update the `model_path` in `tuner/learn_to_ask/main.py` to po
 
 > 🔗 Learn more about Tinker Backend: [Tinker Backend Documentation](https://agentscope-ai.github.io/Trinity-RFT/en/main/tutorial/example_tinker_backend.html)
 
+> In this provided example, training is configured for 4 epochs. When using Tinker, the total token consumption is approximately 112 million tokens, resulting in an estimated cost of approximately 18 USD.
+
 ### Launch Training
 ```bash
 python tuner/learn_to_ask/main.py
diff --git a/tuner/learn_to_ask/main.py b/tuner/learn_to_ask/main.py
index b286bba..dc71734 100644
--- a/tuner/learn_to_ask/main.py
+++ b/tuner/learn_to_ask/main.py
@@ -249,7 +249,6 @@ if __name__ == "__main__":
         temperature=1.0,
         tensor_parallel_size=1,
         inference_engine_num=4,
-        reasoning_parser=None,
     )
     aux_models = {
         AUXILIARY_MODEL_NAME: TunerModelConfig(
@@ -259,7 +258,6 @@ if __name__ == "__main__":
             temperature=0.7,
             tensor_parallel_size=2,
             inference_engine_num=1,
-            reasoning_parser=None,
         ),
     }
     algorithm = AlgorithmConfig(