Update README.md

README.md

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-library_name: peft
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-## Training procedure
+[![CODE](https://img.shields.io/badge/GitHub-Repository-<COLOR>)](https://github.com/bfshi/scaling_on_scales)
 
-### Framework versions
+# When Do We Not Need Larger Vision Models?
 
+## Model
 
-- PEFT 0.4.0
+This is a LLaVA-v1.5-13b model trained with [S<sup>2</sup>-Wrapper](https://github.com/bfshi/scaling_on_scales), a simple approach to enable any vision model to perceive high-resolution images. We use image resolutions of up to 1008x1008 for this model.
+
+## Training
+
+The training pipeline and dataset completely follow [LLaVA-v1.5](https://github.com/haotian-liu/LLaVA/tree/main). We use LoRA to fine-tune the model.
+
+## Benchmarking
+
+| Version | Size | Schedule | Checkpoint | VQAv2 | VizWiz | TextVQA | MMMU-val | MathVista | MM-Bench | SEED | MM-Vet |
+|----------|----------|-----------|-----------|---|---|---|---|---|---|---|---|
+| LLaVA-1.5 | 13B | full_ft-1e | [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5-13b) | 80.0 | 53.6 | 61.3 | 36.4 | 27.6 | 67.7 | 68.2 | 36.1 |
+| LLaVA-1.5 | 13B | lora-1e | [liuhaotian/llava-v1.5-13b-lora](https://huggingface.co/liuhaotian/llava-v1.5-13b-lora) | 80.0 | 58.9 | 60.2 | - | - | 68.5 | - | 38.3 |
+| LLaVA-1.5-S2 | 13B | lora-1e | this model | **80.9** | 56.0 | **63.1** | **37.4** | **27.8** | 67.9 | **68.9** | 36.4 |
+## License
+Llama 2 is licensed under the LLAMA 2 Community License, 
+Copyright (c) Meta Platforms, Inc. All Rights Reserved.