Update README.md

README.md

@@ -48,7 +48,7 @@ print(tokenizer.decode(output_ids[input_ids.shape[1]:], skip_special_tokens=True
 ```
 
 ## Model evaluation
-We conduct evaluation on 9 commonly-used benchmarks, including 5 academic VQA benchmarks and 4 popular MLLM benchmarks, to compare our Imp model with LLaVA (7B) and existing MSLMs with similar sizes.
+We conduct evaluation on 9 commonly-used benchmarks, including 5 academic VQA benchmarks and 4 popular MLLM benchmarks, to compare our Imp model with LLaVA (7B) and existing MSLMs of similar model sizes.
 
 | Models | Size | VQAv2 | GQA |VizWiz  | SQA (IMG) | TextVQA | POPE |  MME | MMB  |MM-Vet|
 |:--------:|:-----:|:----:|:----:|:-------------:|:--------:|:-----:|:----:|:-------:|:-------:|:-------:|
@@ -56,8 +56,8 @@ We conduct evaluation on 9 commonly-used benchmarks, including 5 academic VQA be
 | [TinyGPT-V](https://huggingface.co/Tyrannosaurus/TinyGPT-V) | 3B | - | 33.60  | 24.80  |    -   |    -  | -| - | -  |-|
 | [LLaVA-Phi](https://github.com/zhuyiche/llava-phi) | 3B | 71.40  | - | 35.90 |    68.40   |    48.60  | 85.00 | 1335.1 | 59.80 |28.9|
 | [MobileVLM](https://huggingface.co/mtgv/MobileVLM-3B) | 3B | - | 59.00  | - |    61.00   |    47.50   | 84.90 | 1288.9 | 59.60  |-|
-| [MC-LLaVA-3b](https://huggingface.co/visheratin/MC-LLaVA-3b) | 3B | 64.24 | 49.6  | 24.88 |    -   |    38.59   | 80.59 | - | -  |-|
-| **Imp-v0 (ours)** | 3B | **79.45**  | 58.55 | **50.09** |**69.96**| **59.38** | **88.02**| 1434 | **66.49**  |**33.1**|
+| [MC-LLaVA-3b](https://huggingface.co/visheratin/MC-LLaVA-3b) | 3B | 64.24 | 49.60  | 24.88 |    -   |    38.59   | 80.59 | - | -  |-|
+| **Imp-v0 (ours)** | 3B | **79.45**  | 58.55 | **50.09** |**69.96**| **59.38** | **88.02**| 1434.0 | **66.49**  |**33.1**|
 
 ### Example
 ![example1](images/example1.png)