update results

results.csv

@@ -2,7 +2,7 @@ Models,Model Size(B),Data Source,Overall,Classification,VQA,Retrieval,Grounding
 clip-vit-large-patch14,0.428,TIGER-Lab,37.8,42.8,9.1,53.0,51.8
 blip2-opt-2.7b,3.74,TIGER-Lab,25.2,27.0,4.2,33.9,47.0
 siglip-base-patch16-224,0.203,TIGER-Lab,34.8,40.3,8.4,31.6,59.5
-open_clip,0.428,TIGER-Lab,39.7,47.8,10.9,52.3,53.3
+open_clip-ViT-L/14,0.428,TIGER-Lab,39.7,47.8,10.9,52.3,53.3
 UniIR (BLIP_FF),0.247,TIGER-Lab,42.8,42.1,15.0,60.1,62.2
 UniIR (CLIP_SF),0.428,TIGER-Lab,44.7,44.3,16.2,61.8,65.3
 e5-v,8.36,TIGER-Lab,13.3,21.8,4.9,11.5,19.0

utils.py

@@ -101,7 +101,7 @@ MODEL_URLS = {
     "clip-vit-large-patch14": "https://huggingface.co/openai/clip-vit-large-patch14", 
     "blip2-opt-2.7b": "https://huggingface.co/Salesforce/blip2-opt-2.7b",
     "siglip-base-patch16-224": "https://huggingface.co/google/siglip-base-patch16-224", 
-    "open_clip": "https://github.com/mlfoundations/open_clip", 
+    "open_clip-ViT-L/14": "https://github.com/mlfoundations/open_clip", 
     "e5-v": "https://huggingface.co/royokong/e5-v", 
     "Magiclens": "https://github.com/google-deepmind/magiclens",
     "MMRet-large": "https://huggingface.co/JUNJIE99/MMRet-large",