Update README.md

README.md

@@ -24,15 +24,15 @@ This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggin
 The dataset is derived by distilling DeepSeek-R1 using the data pipeline of Berkeley NovaSky’s Sky-T1 with some modifications. More info in the dataset card at [Bespoke-Stratos-17k](https://huggingface.co/datasets/bespokelabs/Bespoke-Stratos-17k).
 It outperforms Qwen-2.5-32B-Instruct on reasoning benchmarks:
 
-| Metric | Bespoke-Stratos-32B | Sky-T1-32B | o1-preview | DeepSeek-R1 | DeepSeek-R1-Distill-Qwen-32B (Ours)|DeepSeek-R1-Distill-Qwen-32B (Reported)|
-|---|---|---|---|---|---|---|
-| AIME2024 | 63.3 | 43.3 | 40.0 | 79.8 | 66.7 | 72.6 |
-| MATH500 | 93.0 | 82.4 | 81.4 | 97.3 | 89.8 | 94.3 |
-| GPQA-Diamond | 58.1 | 56.8 | 75.2 | 71.5 | 61.1 | 62.1 |
-| LCB v2 Easy | 96.7 | 86.3 | 92.9 | - | 91.2 | - |
-| LCB v2 Medium | 75.2 | 56.8 | 54.9 | - | 75.7 | - |
-| LCB v2 Hard | 26.2 | 17.9 | 16.3 | - | 38.2 | - |
-| LCB v2 All | 71.1 | 57.9 | 59.1 | - | 72.2 | - |
+| Metric | Bespoke-Stratos-32B | Sky-T1-32B | o1-preview | DeepSeek-R1 | DeepSeek-R1-Distill-Qwen-32B (Ours // Reported)|
+|---|---|---|---|---|---|
+| AIME2024 | 63.3 | 43.3 | 40.0 | 79.8 | 66.7 // 72.6 |
+| MATH500 | 93.0 | 82.4 | 81.4 | 97.3 | 89.8 // 94.3 |
+| GPQA-Diamond | 58.1 | 56.8 | 75.2 | 71.5 | 61.1 // 62.1 |
+| LCB v2 Easy | 96.7 | 86.3 | 92.9 | - | 91.2 // - |
+| LCB v2 Medium | 75.2 | 56.8 | 54.9 | - | 75.7 // - |
+| LCB v2 Hard | 26.2 | 17.9 | 16.3 | - | 38.2 // - |
+| LCB v2 All | 71.1 | 57.9 | 59.1 | - | 72.2 // - |
 
 ## Intended uses & limitations
 Apache 2.0 License