updated qwen2vl-2B

0926-OCRBench-opensource.csv

@@ -11,7 +11,7 @@ Rank,Model,Param (B),Language Model,Vision Model,OCRBench,Text Recognition,Scene
 10,MiniCPM-Llama3-V2.5,8,Llama-3-8B-Instruct,SigLIP-400M,725,221,171,125,155,53,
 11,InternVL-Chat-V1.5,26,InternLM2-20B,InternViT-6B,722,236,181,149,153,3,
 6,InternVL2-2B,2,InternLM2-1.8B,InternViT-300M,785,246,170,133,167,69,
-,H2OVL-Mississippi-2B,2,H2O-Danube2 1.8B,InternViT-300M-448,782,253,170,140,166,53,
+,H2OVL-Mississippi-2B,2,H2O-Danube2 1.8B,InternViT-300M-448,782,252,171,140,166,53,
 9,InternVL2-1B,0.8,Qwen2-0.5B,InternViT-300M,755,242,164,127,150,72,
 17,WeMM,7,InternLM2-7B,SigLIP-400M,,,,,,,
 18,IDEFICS2-8B,8,Mistral-7B,SigLIP-400M,,,,,,,
@@ -23,6 +23,7 @@ Rank,Model,Param (B),Language Model,Vision Model,OCRBench,Text Recognition,Scene
 21,MiniCPM-V-2,2.8,MiniCPM-2.4B,SigLIP-400M,596,243,168,100,85,0,
 16,Phi-3-Vision,4.2,Phi-3,CLIP ViT-L/14,640,196,159,137,148,0,
 ,Internvl2-26B,26,,,823,251,184,153,168,67,
+,Qwen2-VL-2B-Instruct,2.1,Qwen2-1.5B,ViT-600M,812,265,172,146,174,55,
 ,doctr-default,0.05,,,,177,,,,,
 ,doctr-v2m(best),0.05,,,,256,,,,,
 ,,,,,,,,,,,

app.py

@@ -19,7 +19,7 @@ dtype_dict = {
 
 
 # preprocess the dataframe
-data_valid = data[:26].copy()
+data_valid = data[:27].copy()
 data_valid = data_valid.astype(dtype_dict)
 data_valid.drop(columns=['Unnamed: 11'], inplace=True)