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@@ -68,13 +68,15 @@ InternVL 2.0 is a multimodal large language model series, featuring models of va
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  ### Video Benchmarks
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- | Benchmark | VideoChat2-Phi3 | Mini-InternVL-2B-1-5 | InternVL2-2B | InternVL2-1B |
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- | :------------------: | :-------------: | :------------------: | :----------: | :----------: |
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- | Model Size | 4B | 2.2B | 2.2B | 0.9B |
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- | | | | | |
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- | MVBench | 55.1 | 37.0 | 60.2 | 57.9 |
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- | Video-MME<br>wo subs | - | TODO | TODO | TODO |
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- | Video-MME<br>w/ subs | - | TODO | TODO | TODO |
 
 
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  - We evaluate our models on MVBench by extracting 16 frames from each video, and each frame was resized to a 448x448 image.
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@@ -453,13 +455,15 @@ InternVL 2.0 是一个多模态大语言模型系列,包含各种规模的模
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  ### 视频相关评测
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- | 评测数据集 | VideoChat2-Phi3 | Mini-InternVL-2B-1-5 | InternVL2-2B | InternVL2-1B |
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- | :------------------: | :-------------: | :------------------: | :----------: | :----------: |
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- | 模型大小 | 4B | 2.2B | 2.2B | 0.9B |
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- | | | | | |
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- | MVBench | 55.1 | 37.0 | 60.2 | 57.9 |
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- | Video-MME<br>wo subs | - | TODO | TODO | TODO |
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- | Video-MME<br>w/ subs | - | TODO | TODO | TODO |
 
 
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  - 我们通过从每个视频中提取16帧来评估我们的模型在MVBench上的性能,每个视频帧被调整为448x448的图像。
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  ### Video Benchmarks
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+ | Benchmark | VideoChat2-Phi3 | Mini-InternVL-2B-1-5 | InternVL2-2B | InternVL2-1B |
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+ | :-------------------------: | :-------------: | :------------------: | :----------: | :----------: |
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+ | Model Size | 4B | 2.2B | 2.2B | 0.9B |
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+ | | | | | |
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+ | MVBench | 55.1 | 37.0 | 60.2 | 57.9 |
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+ | MMBench-Video<sub>8f</sub> | - | 0.99 | 0.97 | 0.95 |
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+ | MMBench-Video<sub>16f</sub> | - | 1.04 | 1.03 | 0.98 |
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+ | Video-MME<br>wo subs | - | TODO | TODO | TODO |
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+ | Video-MME<br>w/ subs | - | TODO | TODO | TODO |
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  - We evaluate our models on MVBench by extracting 16 frames from each video, and each frame was resized to a 448x448 image.
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456
  ### 视频相关评测
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+ | 评测数据集 | VideoChat2-Phi3 | Mini-InternVL-2B-1-5 | InternVL2-2B | InternVL2-1B |
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+ | :-------------------------: | :-------------: | :------------------: | :----------: | :----------: |
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+ | 模型大小 | 4B | 2.2B | 2.2B | 0.9B |
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+ | | | | | |
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+ | MVBench | 55.1 | 37.0 | 60.2 | 57.9 |
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+ | MMBench-Video<sub>8f</sub> | - | 0.99 | 0.97 | 0.95 |
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+ | MMBench-Video<sub>16f</sub> | - | 1.04 | 1.03 | 0.98 |
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+ | Video-MME<br>wo subs | - | TODO | TODO | TODO |
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+ | Video-MME<br>w/ subs | - | TODO | TODO | TODO |
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  - 我们通过从每个视频中提取16帧来评估我们的模型在MVBench上的性能,每个视频帧被调整为448x448的图像。
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