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README.md
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@@ -19,26 +19,26 @@ InternVL 2.0 is trained with an 8k context window and utilizes training data con
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## Performance
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| MathVista<sub>
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- We simultaneously use InternVL and VLMEvalKit repositories for model evaluation. Specifically, the results reported for DocVQA, ChartQA, InfoVQA, TextVQA, MME, AI2D, MMBench, CCBench, MMVet, and SEED-Image were tested using the InternVL repository. MMMU, OCRBench, RealWorldQA, HallBench, and MathVista were evaluated using the VLMEvalKit.
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## Performance
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| Benchmark | PaliGemma-3B | Phi-3-Vision | Mini-InternVL-2B-1.5 | InternVL2-2B |
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| :--------------------------: | :----------: | :----------: | :------------------: | :----------: |
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| Model Size | 2.9B | 4.2B | 2.2B | 2.2B |
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| DocVQA<sub>test</sub> | - | - | 85.0 | 86.9 |
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| ChartQA<sub>test</sub> | - | 81.4 | 74.8 | 76.2 |
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| InfoVQA<sub>test</sub> | - | - | 55.4 | 58.9 |
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| TextVQA<sub>val</sub> | 68.1 | 70.9 | 70.5 | 73.4 |
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| OCRBench | 614 | 639 | 654 | 784 |
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| MME<sub>sum</sub> | 1686.1 | 1508.0 | 1901.5 | 1876.8 |
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| RealWorldQA | 55.2 | 58.8 | 57.9 | 57.3 |
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| AI2D<sub>test</sub> | 68.3 | 76.7 | 69.8 | 74.1 |
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| MMMU<sub>val</sub> | 34.9 | 40.4 | 34.6 | 34.3 |
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| MMBench-EN<sub>test</sub> | 71.0 | 73.6 | 70.9 | 73.2 |
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| MMBench-CN<sub>test</sub> | 63.6 | - | 66.2 | 70.9 |
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| CCBench<sub>dev</sub> | 29.6 | 24.1 | 63.5 | 74.7 |
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| MMVet<sub>GPT-4-0613</sub> | 33.1 | - | 39.3 | 44.6 |
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| SEED-Image | 69.6 | 70.9 | 69.8 | 71.6 |
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| HallBench<sub>avg</sub> | 32.2 | 39.0 | 37.5 | 37.9 |
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| MathVista<sub>testmini</sub> | 28.7 | 44.5 | 41.1 | 46.3 |
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- We simultaneously use InternVL and VLMEvalKit repositories for model evaluation. Specifically, the results reported for DocVQA, ChartQA, InfoVQA, TextVQA, MME, AI2D, MMBench, CCBench, MMVet, and SEED-Image were tested using the InternVL repository. MMMU, OCRBench, RealWorldQA, HallBench, and MathVista were evaluated using the VLMEvalKit.
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