Update README.md

README.md

@@ -66,10 +66,9 @@ Results on the [CoIR benchmark](https://github.com/CoIR-team/coir) on [MTEB](htt
 | CodeRankEmbed | 137M | 59.14 | 23.46 | 94.70 | 42.61 | 78.11 | 76.39 | 66.43 | 34.84 | 35.92 | 80.53 | 58.37 |
 | BM25 | — | 39.11 | 4.76 | 32.45 | 59.69 | 67.85 | 33.00 | 47.29 | 32.97 | 15.53 | 69.54 | 28.07 |
 | potion-code-16M | 16M | 37.05 | 3.97 | 42.99 | 36.26 | 50.27 | 43.40 | 39.76 | 31.72 | 21.37 | 57.47 | 43.34 |
-| potion-code-16M-v2 | 16M | 39.10 | 5.20 | 46.32 | 37.97 | 53.43 | 43.70 | 43.63 | 32.64 | 27.80 | 59.63 | 40.89 |
+| **potion-code-16M-v2** | **16M** | **39.10** | **5.20** | **46.32** | **37.97** | **53.43** | **43.70** | **43.63** | **32.64** | **27.80** | **59.63** | **40.89** |
 | potion-retrieval-32M | 32M | 32.10 | 4.22 | 31.80 | 36.71 | 45.11 | 38.64 | 29.97 | 32.62 | 8.70 | 56.26 | 36.93 |
 | potion-base-32M | 32M | 31.42 | 3.37 | 29.58 | 34.77 | 42.69 | 37.88 | 28.51 | 30.55 | 14.61 | 53.36 | 38.88 |
-| 0.0520 | 0.4632 | 0.3797 | 0.5343 | 0.4370 | 0.4363 | 0.3264 | 0.2780 | 0.5963 | 0.5862 | 0.4089 |
 
 CoIR covers a broad range of code retrieval scenarios. For the use case of finding code given a natural language query, **CosQA** and **CodeFeedback (ST/MT)** are the most relevant tasks. Others are less so: **COIRCodeSearchNetRetrieval** retrieves text given a code query (the reverse direction), and the **CodeTransOcean** tasks target cross-language code translation. The hybrid row combines dense retrieval with BM25 using min-max score normalization and equal weighting (alpha=0.5).