Update README.md

README.md

@@ -53,3 +53,20 @@ Dataset: [ViDoRe Benchmark](https://huggingface.co/collections/vidore/vidore-ben
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6336b5c831efcb5647f00170/BtTD8aky0w4SDZUvrP-XF.png)
 
+| Model                                          | Model_Size | Average_Score | ArxivQA | DocVQA | InfoVQA | Artificial Intelligence | Energy | Government | Healthcare Industry | TAT-DQA |
+|-----------------------------------------------|------------|---------------|---------|--------|---------|-------------------------|--------|------------|----------------------|---------|
+| royokong/e5-v                                 | 8.3B       | 62.88         | 48.3    | 34.7   | 69.2    | 78.9                    | 78.1   | 82.2       | 82.3                 | 29.3    |
+| TIGER-Lab/VLM2Vec-Full                        | 4.2B       | 51.16         | 42.8    | 26.7   | 66.7    | 53.5                    | 63.5   | 64         | 70.7                 | 21.4    |
+| nvidia/llama-nemoretriever-colembed-3b-v1     | 4.4B       | 90.42         | 88.4    | 66.2   | 94.9    | 99.6                    | 96.6   | 97.8       | 99.3                 | 80.6    |
+| nvidia/llama-nemoretriever-colembed-1b-v1     | 2.4B       | 89.8          | 87.6    | 64.5   | 93.6    | 100                     | 96.6   | 96.7       | 99.6                 | 79.8    |
+| jinaai/jina-embeddings-v4                     | 3.8B       | 89.38         | 88.5    | 60.1   | 93.8    | 99.3                    | 97.3   | 96.6       | 99.1                 | 80.3    |
+| nomic-ai/colnomic-embed-multimodal-3b         | 3B       | 89.25         | 88.1    | 61.3   | 92.8    | 96.3                    | 97.4   | 96.6       | 98.3                 | 83.2    |
+| nomic-ai/colnomic-embed-multimodal-7b         | 7B       | 89.00         | 88.3    | 60.1   | 92.2    | 98.8                    | 96.3   | 95.9       | 99.3                 | 81.1    |
+| vidore/colqwen2.5-v0.2                        | 3B       | 89.58         | 88.9    | 63.6   | 92.5    | 99.6                    | 96.1   | 95.8       | 98                   | 82.1    |
+| vidore/colqwen2-v1.0                          | 2.2B       | 89.18         | 88      | 61.5   | 92.5    | 99                      | 95.9   | 95.5       | 98.8                 | 82.2    |
+| ibm-granite/granite-vision-3.3-2b-embedding   | 3B       | 85.98         | 84.2    | 54.6   | 89.7    | 98.9                    | 96.3   | 97.3       | 98.9                 | 67.9    |
+| vidore/colpali-v1.3                           | 3B       | 85.44         | 83.3    | 58.4   | 85.5    | 97.4                    | 94.6   | 96.1       | 97.4                 | 70.8    |
+| vidore/colpali-v1.2                           | 3B       | 83.16         | 77.8    | 56.6   | 82.2    | 97.5                    | 93.8   | 94.4       | 94.9                 | 68.1    |
+| ColVintern-1B                                 | 0.9B        | 78.8          | 71.6    | 48.3   | 84.6    | 92.9                    | 88.7   | 89.4       | 95.2                 | 59.6    |
+| Vintern-Embedding                             | 0.9B        | 82.85         | 75.37   | 51.79  | 86.2    | 97.52                   | 93.19  | 93.97      | 97.09                | 67.72   |
+