Add model's evaluation result in readme.

README.md

@@ -87,4 +87,28 @@ The plot below highlights the alignment comparison of the model trained with Con
 
 ![Alignment Comparison](plots/alignment_comparison.png)
 
+### Benchmark Results Table
+The table below summarizes the evaluation results across mathematical tasks and original capabilities for various models and training approaches.
+
+| **Model**                | **Math Tasks**     |              |          |           |          | **Original Capabilities** |         |         |           | **Overall Avg.** |
+|--------------------------|--------------------|--------------|----------|-----------|----------|---------------------------|---------|---------|-----------|------------------|
+|                          | **MathHard**       | **Math**     | **GSM8K**| **Avg.**  |          | **ARC**                   | **GPQA**| **MMLU**| **MMLUP** |                  |
+|--------------------------|--------------------|--------------|----------|-----------|----------|---------------------------|---------|---------|-----------|------------------|
+| Llama3.1-8B-Instruct     | 23.7              | 50.9         | 85.6     | 52.1      |          | 83.4                      | 29.9    | 72.4    | 46.7      | 56.3             |
+| OpenMath2-Llama3.1       | 38.4              | 64.1         | 90.3     | 64.3      |          | 45.8                      | 1.3     | 4.5     | 19.5      | 38.6             |
+| **Full Param Tune**       | **38.5**          | **63.7**     | 90.2     | **63.9**  |          | 58.2                      | 1.1     | 7.3     | 23.5      | 40.1             |
+| Partial Param Tune       | 36.4              | 61.4         | 89.0     | 61.8      |          | 66.2                      | 6.0     | 25.7    | 30.9      | 45.6             |
+| Stack Expansion          | 35.6              | 61.0         | 90.8     | 61.8      |          | 69.3                      | 18.8    | 61.8    | 43.1      | 57.6             |
+| Hybrid Expansion         | 34.4              | 61.1         | 90.1     | 61.5      |          | **81.8**                  | **25.9**| 67.2    | **43.9**  | 59.3             |
+| **Control LLM***          | 38.1              | 62.7         | **90.4** | 63.2      |          | 79.7                      | 25.2    | **68.1**| 43.6      | **60.2**         |
+
+---
+
+### Explanation of Groups
+- **Math Tasks**:
+  - Covers **MathHard**, **Math**, and **GSM8K**, measuring the model's performance on mathematical reasoning and problem-solving tasks.
+- **Original Capabilities**:
+  - Includes **ARC**, **GPQA**, **MMLU**, and **MMLUP**, reflecting the model’s ability to handle general reasoning and knowledge benchmarks.
+
+