初始化项目，由ModelHub XC社区提供模型

Model: suayptalha/Qwen3-0.6B-Treatment
Source: Original Platform

README.md

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+---
+license: apache-2.0
+tags:
+- unsloth
+- trl
+- sft
+datasets:
+- suayptalha/Treatment-Instructions
+language:
+- en
+base_model:
+- Qwen/Qwen3-0.6B
+pipeline_tag: text-generation
+library_name: transformers
+---
+
+# Qwen3-0.6B-Treatment-Expert
+
+This project performs full fine-tuning on the **Qwen3-0.6B** language model to enhance its clinical treatment planning and reasoning capabilities. The model was optimized using the bfloat16 (bf16) data type.
+
+## Training Procedure
+
+1. **Dataset Preparation**
+
+   * Dataset: Containing paired clinical diagnosis descriptions and corresponding step-by-step treatment plans.
+
+2. **Model Loading and Configuration**
+
+   * Base model: **Qwen3-0.6B**, loaded with the `unsloth` library in bf16 precision.
+   * Full fine-tuning (`full_finetuning=True`) applied to all layers to adapt the model for medical treatment tasks.
+
+3. **Supervised Fine-Tuning (SFT)**
+
+   * Utilized the Hugging Face TRL library with the Supervised Fine-Tuning approach.
+   * The model was trained to generate both intermediate reasoning steps and final treatment recommendations.
+   * Training hyperparameters:
+
+     * Epochs: 2
+     * Learning rate: 2e-5
+     * Batch size: 8
+
+## Purpose and Outcome
+
+* Significantly improved the model’s ability to interpret clinical diagnoses and propose structured treatment plans.
+
+## Evaluation
+
+* Performance was measured on a held-out validation set with the following metrics:
+
+  * **Plan Fidelity:** 59.69% similarity with DeepSeek V3-0324.
+  * **Reasoning Coherence:** Rated high by a panel of medical experts.
+## License
+
+This project is licensed under the Apache License 2.0. See the [LICENSE](./LICENSE) file for details.