Upload merged Qwen3-4B-Instruct-2507 model (auto-generated README)

README.md

@@ -32,20 +32,13 @@ Loss is applied to **all assistant turns** in the multi-turn trajectory,
 enabling the model to learn environment observation, action selection,
 tool use, and recovery from errors.
 
-## Dataset Processing (Custom Filtering)
-
-To improve the reasoning efficiency and reduce the risk of infinite loops (repetitive actions), the training dataset was customized with the following filtering strategy:
-
-- **Optimization of Exploration**: Trajectories with **9 or more "detours"** were excluded from the training set.
-- **Robustness Maintenance**: Trajectories with **0 to 8 detours** were retained.
-
 ## Training Configuration
 
 - Base model: Qwen/Qwen3-4B-Instruct-2507
 - Method: LoRA (full precision base)
 - Max sequence length: 4096
 - Epochs: 2
-- Learning rate: 1e-06
+- Learning rate: 2e-06
 - LoRA: r=64, alpha=128
 
 ## Usage

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