Update README.md

README.md

@@ -5,9 +5,9 @@ base_model:
 - google/gemma-2-9b-it
 ---
 
-# Gofer Embeddings v0.8
+# Gemma Embeddings v0.8
 
-Gofer is a dense-vector embedding model, trained especially for retrieval.  As of December 2, 2024, Gofer achieves the #1 position overall on the _MTEB Retrieval_ leaderboard, with a score of 63.01.  
+GemmaEmbed is a dense-vector embedding model, trained especially for retrieval.  As of December 2, 2024, GemmaEmbed achieves the #1 position overall on the _MTEB Retrieval_ leaderboard, with a score of 63.90.  
 
 # Important Notes
 * This is not an official Google product.
@@ -20,7 +20,7 @@ Results compared to BGE-EN-ICL on several large datasets
 Model | DBPedia | FEVER | HotPotQA | MSMARCO | NQ |
 ------ | --------- | ------ |  ------- |  ------- |  ------ |
 BGE-EN-ICL | 51.63 | 92.83 | 85.14 | 46.79 | 73.88 |
-Gofer Embeddings v0.8 | 52.58 | 93.225 | 86.921 | 47.537 | 73.75 |
+Gemma-Embeddings-v0.8 | 52.60 | 93.51 | 87.58 | 47.30 | 74.44 |
 
 # Model & Data