update results (#22)

- update results (1adec3dd7050cd908ecf2921a1ab2a9beb21743a)
- update submit instructions (fc997d71538a09297a186578035e3b326d8977f9)

results.csv

@@ -13,4 +13,5 @@ VLM2Vec (Phi-3.5-V-FT),4.15,TIGER-Lab,55.9,52.8,50.3,57.8,72.3
 VLM2Vec (Phi-3.5-V-LoRA),4.15,TIGER-Lab,60.1,54.8,54.9,62.3,79.5
 VLM2Vec (LLaVA-1.6-LoRA-LowRes),7.57,TIGER-Lab,55.0,54.7,50.3,56.2,64.0
 VLM2Vec (LLaVA-1.6-LoRA-HighRes),7.57,TIGER-Lab,62.9,61.2,49.9,67.4,86.1
-MMRet-large,0.428,Self-Reported,64.1,56.0,57.4,69.9,83.6
+MMRet-large,0.428,Self-Reported,64.1,56.0,57.4,69.9,83.6
+mmE5-mllama-11b-instruct,10.6,Self-Reported,69.8,67.6,62.6,71.0,89.6

utils.py

@@ -85,7 +85,7 @@ SUBMIT_INTRODUCTION = """# Submit on MMEB Leaderboard Introduction
         "Model": "<Model Name>",
         <Optional>"URL": "<Model URL>",
         "Model Size(B)": 1000,
-        "Data Source": TIGER-Lab,
+        "Data Source": Self-Reported,
         "Overall": 50.0,
         "Classification": 50.0,
         "VQA": 50.0,
@@ -110,6 +110,7 @@ MODEL_URLS = {
     "UniIR": "https://huggingface.co/TIGER-Lab/UniIR", 
     "OpenCLIP-FT": "https://doi.org/10.48550/arXiv.2212.07143", 
     "CLIP-FT": "https://doi.org/10.48550/arXiv.2103.00020"
+    "mmE5-mllama-11b-instruct": "https://huggingface.co/intfloat/mmE5-mllama-11b-instruct"
 }
 
 def create_hyperlinked_names(df):