Update README.md

README.md

@@ -7,4 +7,87 @@ metrics:
 - accuracy
 base_model:
 - FreedomIntelligence/openPangu-Embedded-7B
----
+---
+
+
+# AutoMR for Pangu
+
+This project equips the Pangu model with the AutoMR reasoning framework, optimized for Huawei Ascend hardware.
+
+## 🌳 Project Structure
+
+```
+.
+├── AMC.SH
+├── automr
+│   ├── config.py
+│   ├── dag.py
+│   ├── data_loader.py
+│   ├── evaluator.py
+│   ├── __init__.py
+│   ├── model.py
+│   ├── strategies.py
+│   ├── trainer.py
+│   └── utils.py
+├── checkpoints
+│   └── MATH
+├── embedder_server.sh
+├── generator_server.sh
+├── main.py
+├── math_train.sh
+└── processed_data
+    ├── AMC
+    └── MATH
+```
+
+## 🔧 1. Installation
+
+### a. Clone the Project Repository
+
+```bash
+hf download Alexhf825/AutoMR-pangu --local-dir AutoMR-pangu
+cd AutoMR-pangu
+```
+
+### b. Install Dependencies
+
+
+### c. Download Datasets
+
+This command will download the datasets and place them in the `./processed_data` directory, matching the project structure.
+
+```bash
+hf download Alexhf825/dataset-test-pangu --repo-type=dataset --local-dir=./processed_data
+```
+
+## 🚀 2. Start the Servers
+
+This project requires two services running in an OpenAI-API style. Please run the following commands in **two separate terminal sessions**.
+
+**Start the Embedder Server:**
+
+```bash
+bash embedder_server.sh
+```
+
+**Start the Generator Server:**
+
+```bash
+bash generator_server.sh
+```
+
+## 📈 3. Run Evaluation
+
+A pre-trained checkpoint (`MATH`) is provided. You can directly evaluate the model on the `AMC` dataset using the following command:
+
+```bash
+bash AMC.sh
+```
+
+## 🏋️ 4. Run Training
+
+You can also train the model from scratch on the `MATH` dataset by running:
+
+```bash
+bash math_train.sh
+```