Update README.md

README.md

@@ -284,24 +284,24 @@ full set of data (2900 samples available).
 
 #### MLQA-V1 Ger/Eng cross-lingual accuracies for the considered models
  
-|# of samples|Pharia4608|GritLM|Nvidia-Embed-v2|
-|:---:|:---:|:---:|:---:|
-|1000|86.0%|82.5%|77.0%|
-|2000|79.5%|73.4%|69.4%|
-|4000|65.3%|59.2%|56.0%|
-|6000|54.3%|48.6%|45.6%|
-|10000|38.6%|32.8%|32.8%|
+|# of samples|Pharia4608|GritLM|Nvidia-Embed-v2|BGE-Gemma2|
+|:---:|:---:|:---:|:---:|:---:|
+|1000|86.0%|82.5%|77.0%|87.0%|
+|2000|79.5%|73.4%|69.4%|76.8%|
+|4000|65.3%|59.2%|56.0%|62.7%|
+|6000|54.3%|48.6%|45.6%|52.6%|
+|10000|38.6%|32.8%|32.8%|39.4%|
 
 
 #### MLQA-V1 Eng/Esp cross-lingual accuracies for the considered models
 
-|# samples|Pharia4608|GritLM|NV-Embed-v2|
-|:---:|:---:|:---:|:---:|
-|1000|87.5%|82.0%|81.5%|
-|2000|78.5%|73.9%|70.7%|
-|4000|65.5%|59.3%|56.9%|
-|6000|55.3%|49.2%|46.2%|
-|10000|41.7%|35.5%|33.2%|
+|# samples|Pharia4608|GritLM|NV-Embed-v2|BGE-Gemma2|
+|:---:|:---:|:---:|:---:|:---:|
+|1000|87.5%|82.0%|81.5%|87.0%|
+|2000|78.5%|73.9%|70.7%|77.0%|
+|4000|65.5%|59.3%|56.9%|64.2%|
+|6000|55.3%|49.2%|46.2%|53.4%|
+|10000|41.7%|35.5%|33.2%|40.0%|
 
 #### CLSD-WMT19 Ger/Fra (2900 samples) cross-lingual evaluation for the considered models
 
@@ -311,6 +311,7 @@ full set of data (2900 samples available).
 |Pharia-1-Embedding-4608-control|95.1%                             |
 |GritLM-7B                      |94.2%                             |
 |Nvidia-Embed-v2                |93.4%                             |
+|BGE-Gemma2                     |95.4%                             |
 
 
 ## Training Details