Update README.md

README.md

@@ -27,6 +27,40 @@ For further information and related work, refer to our paper: ["OpenCodeInterpre
 ## Model Information
 This model is based on [deepseek-coder-33b-base](https://huggingface.co/deepseek-ai/deepseek-coder-33b-base).
 
+## Benchmark Scores
+
+The OpenCodeInterpreter Models series exemplifies the evolution of coding model performance, particularly highlighting the significant enhancements brought about by the integration of execution feedback. In an effort to quantify these improvements, we present a detailed comparison across two critical benchmarks: HumanEval and MBPP. This comparison not only showcases the individual performance metrics on each benchmark but also provides an aggregated view of the overall performance enhancement. The subsequent table succinctly encapsulates the performance data, offering a clear perspective on how execution feedback contributes to elevating the models' capabilities in code interpretation and execution tasks.
+
+| **Benchmark** | **HumanEval (+)** | **MBPP (+)** | **Average (+)** |
+|---------------|-------------------|--------------|-----------------|
+| **OpenCodeInterpreter-DS-1.3B** | 65.2 (61.0) | 63.4 (52.4) | 64.3 (56.7) |
+| + Execution Feedback | 65.2 (62.2) | 65.2 (55.6) | 65.2 (58.9) |
+| **OpenCodeInterpreter-DS-6.7B** | 76.2 (72.0) | 73.9 (63.7) | 75.1 (67.9) |
+| + Execution Feedback | 81.1 (78.7) | 82.7 (72.4) | 81.9 (75.6) |
+| + Synth. Human Feedback | 87.2 (86.6) | 86.2 (74.2) | 86.7 (80.4) |
+| + Synth. Human Feedback (Oracle) | 89.7 (86.6) | 87.2 (75.2) | 88.5 (80.9) |
+| **OpenCodeInterpreter-DS-33B** | 79.3 (74.3) | 78.7 (66.4) | 79.0 (70.4) |
+| + Execution Feedback | 82.9 (80.5) | 83.5 (72.2) | 83.2 (76.4) |
+| + Synth. Human Feedback | 88.4 (86.0) | 87.5 (75.9) | 88.0 (81.0) |
+| + Synth. Human Feedback (Oracle) | 92.7 (89.7) | 90.5 (79.5) | 91.6 (84.6) |
+| **OpenCodeInterpreter-CL-7B** | 72.6 (67.7) | 66.4 (55.4) | 69.5 (61.6) |
+| + Execution Feedback | 75.6 (70.1) | 69.9 (60.7) | 72.8 (65.4) |
+| **OpenCodeInterpreter-CL-13B** | 77.4 (73.8) | 70.7 (59.2) | 74.1 (66.5) |
+| + Execution Feedback | 81.1 (76.8) | 78.2 (67.2) | 79.7 (72.0) |
+| **OpenCodeInterpreter-CL-34B** | 78.0 (72.6) | 73.4 (61.4) | 75.7 (67.0) |
+| + Execution Feedback | 81.7 (78.7) | 80.2 (67.9) | 81.0 (73.3) |
+| **OpenCodeInterpreter-CL-70B** | 76.2 (70.7) | 73.0 (61.9) | 74.6 (66.3) |
+| + Execution Feedback | 79.9 (77.4) | 81.5 (69.9) | 80.7 (73.7) |
+| **OpenCodeInterpreter-GM-7B** | 56.1 (50.0) | 39.8 (34.6) | 48.0 (42.3) |
+| + Execution Feedback | 64.0 (54.3) | 48.6 (40.9) | 56.3 (47.6) |
+| **OpenCodeInterpreter-STAR-3B** | 65.2 (57.9) | 62.7 (52.9) | 64.0 (55.4) |
+| + Execution Feedback | 67.1 (60.4) | 63.4 (54.9) | 65.3 (57.7) |
+| **OpenCodeInterpreter-STAR-7B** | 73.8 (68.9) | 61.7 (51.1) | 67.8 (60.0) |
+| + Execution Feedback | 75.6 (69.5) | 66.9 (55.4) | 71.3 (62.5) |
+
+*Note: The "(+)" notation represents scores from extended versions of the HumanEval and MBPP benchmarks. To ensure a fair comparison, the results shown for adding execution feedback are based on outcomes after just one iteration of feedback, without unrestricted iterations. This approach highlights the immediate impact of execution feedback on performance improvements across benchmarks.*
+
+
 ## Model Usage
 ### Inference