add model card

README.md

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 ---
 license: apache-2.0
+datasets:
+- imagenet-1k
+- ade20k
+metrics:
+- accuracy
+- mIoU
+pipeline_tag: image-classification
 ---
+# VisionLLaMA-Base-MAE
+
+With the Masked Autoencoders' paradigm, VisionLLaMA-Base-MAE model is trained on ImageNet-1k without labels. It manifests substantial improvements over classification tasks (SFT, linear probing) on ImageNet-1K and the segmentation task on ADE20K. 
+
+| Model |  ImageNet Acc (SFT) |  ImageNet Acc (Linear Probe) | ADE20K Segmentation  |
+| -- | -- | --| --|
+| VisionLLaMA-Base-MAE (ep800) |84.0 |69.7 |49.0 |
+| VisionLLaMA-Base-MAE (ep1600) |84.3 | 71.7| 50.2 |
+
+
+
+
+# How to Use
+
+Please refer the [Github](https://github.com/Meituan-AutoML/VisionLLaMA) page for usage.