[Feature]: Update MAE README (#483)

* [Feature]: Update MAE README * [Feature]: Add ViT-H to readme and model_zoo
open-mmlab · Oct 12, 2022 · 1905569 · 1905569
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diff --git a/configs/selfsup/mae/README.md b/configs/selfsup/mae/README.md
@@ -29,12 +29,118 @@ methods that use only ImageNet-1K data. Transfer performance in downstream tasks
 
 ## Models and Benchmarks
 
-Here, we report the results of the model, which is pre-trained on ImageNet-1k
-for 400 epochs, the details are below:
-
-| Backbone | Pre-train epoch | Fine-tuning Top-1 |                                                     Pre-train Config                                                      |                                                                 Fine-tuning Config                                                                 |                                                                                                                      Download                                                                                                                       |
-| :------: | :-------------: | :---------------: | :-----------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
-| ViT-B/16 |       400       |       83.1        | [config](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/mae/mae_vit-b-p16_8xb512-coslr-400e_in1k.py) | [config](https://github.com/open-mmlab/mmselfsup/blob/master/configs/benchmarks/classification/imagenet/vit-base-p16_ft-8xb128-coslr-100e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/mae/mae_vit-base-p16_8xb512-coslr-400e_in1k-224_20220223-85be947b.pth) \| [log](https://download.openmmlab.com/mmselfsup/mae/mae_vit-base-p16_8xb512-coslr-300e_in1k-224_20220210_140925.log.json) |
+<table class="docutils">
+<thead>
+  <tr>
+	    <th rowspan="2">Algorithm</th>
+	    <th rowspan="2">Backbone</th>
+	    <th rowspan="2">Epoch</th>
+      <th rowspan="2">Batch Size</th>
+      <th colspan="2" align="center">Results (Top-1 %)</th>
+      <th colspan="3" align="center">Links</th>
+	</tr>
+	<tr>
+      <th>Linear Eval</th>
+      <th>Fine-tuning</th>
+      <th>Pretrain</th>
+      <th>Linear Eval</th>
+      <th>Fine-tuning</th>
+	</tr>
+  </thead>
+  <tbody>
+  <tr>
+      <td rowspan="9">MAE</td>
+	    <td>ViT-base</td>
+	    <td>300</td>
+      <td>4096</td>
+      <td>60.8</td>
+      <td>83.1</td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/selfsup/mae/mae_vit-base-p16_8xb512-amp-coslr-300e_in1k.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-base-p16_8xb512-fp16-coslr-300e_in1k/mae_vit-base-p16_8xb512-coslr-300e-fp16_in1k_20220829-c2cf66ba.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-base-p16_8xb512-fp16-coslr-300e_in1k/mae_vit-base-p16_8xb512-coslr-300e-fp16_in1k_20220718_152424.json'>log</a></td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-base-p16_linear-8xb2048-coslr-90e_in1k.py'>config</a> | model | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-base-p16_8xb512-fp16-coslr-300e_in1k/vit-base-p16_linear-8xb2048-coslr-90e_in1k/vit-base-p16_linear-8xb2048-coslr-90e_in1k_20220720_104514.json'>log</a></td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-base-p16_ft-8xb128-coslr-100e_in1k.py'>config</a> | model | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-base-p16_8xb512-fp16-coslr-300e_in1k/vit-base-p16_ft-8xb128-coslr-100e_in1k/vit-base-p16_ft-8xb128-coslr-100e_in1k_20220713_140138.json'>log</a></td>
+	</tr>
+  <tr>
+	    <td>ViT-base</td>
+	    <td>400</td>
+      <td>4096</td>
+      <td>62.5</td>
+      <td>83.3</td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/selfsup/mae/mae_vit-base-p16_8xb512-amp-coslr-400e_in1k.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-base-p16_8xb512-fp16-coslr-400e_in1k/mae_vit-base-p16_8xb512-coslr-400e-fp16_in1k_20220825-bc79e40b.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-base-p16_8xb512-fp16-coslr-400e_in1k/mae_vit-base-p16_8xb512-coslr-400e-fp16_in1k_20220628_200815.json'>log</a></td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-base-p16_linear-8xb2048-coslr-90e_in1k.py'>config</a> | model | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-base-p16_8xb512-fp16-coslr-400e_in1k/vit-base-p16_linear-8xb2048-coslr-90e_in1k/vit-base-p16_linear-8xb2048-coslr-90e_in1k_20220713_142534.json'>log</a></td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-base-p16_ft-8xb128-coslr-100e_in1k.py'>config</a> | model | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-base-p16_8xb512-fp16-coslr-400e_in1k/vit-base-p16_ft-8xb128-coslr-100e_in1k/vit-base-p16_ft-8xb128-coslr-100e_in1k_20220708_183134.json'>log</a></td>
+	</tr>
+  <tr>
+	    <td>ViT-base</td>
+	    <td>800</td>
+      <td>4096</td>
+      <td>65.1</td>
+      <td>83.3</td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/selfsup/mae/mae_vit-base-p16_8xb512-amp-coslr-800e_in1k.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-base-p16_8xb512-fp16-coslr-800e_in1k/mae_vit-base-p16_8xb512-coslr-800e-fp16_in1k_20220825-5d81fbc4.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-base-p16_8xb512-fp16-coslr-800e_in1k/mae_vit-base-p16_8xb512-coslr-800e-fp16_in1k_20220718_134405.json'>log</a></td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-base-p16_linear-8xb2048-coslr-90e_in1k.py'>config</a> | model | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-base-p16_8xb512-fp16-coslr-800e_in1k/vit-base-p16_linear-8xb2048-coslr-90e_in1k/vit-base-p16_linear-8xb2048-coslr-90e_in1k20220721_203941.json'>log</a></td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-base-p16_ft-8xb128-coslr-100e_in1k.py'>config</a> | model | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-base-p16_8xb512-fp16-coslr-800e_in1k/vit-base-p16_ft-8xb128-coslr-100e_in1k/vit-base-p16_ft-8xb128-coslr-100e_in1k_20220724_232940.json'>log</a></td>
+	</tr>
+  <tr>
+	    <td>ViT-base</td>
+	    <td>1600</td>
+      <td>4096</td>
+      <td>67.1</td>
+      <td>83.5</td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/selfsup/mae/mae_vit-base-p16_8xb512-amp-coslr-1600e_in1k.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-base-p16_8xb512-fp16-coslr-1600e_in1k/mae_vit-base-p16_8xb512-fp16-coslr-1600e_in1k_20220825-f7569ca2.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-base-p16_8xb512-fp16-coslr-1600e_in1k/mae_vit-base-p16_8xb512-fp16-coslr-1600e_in1k_20220815_103458.json'>log</a></td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-base-p16_linear-8xb2048-coslr-90e_in1k.py'>config</a> | model | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-base-p16_8xb512-fp16-coslr-1600e_in1k/vit-base-p16_linear-8xb2048-coslr-90e_in1k/vit-base-p16_linear-8xb2048-coslr-90e_in1k_20220724_232557.json'>log</a></td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-base-p16_ft-8xb128-coslr-100e_in1k.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-base-p16_8xb512-fp16-coslr-1600e_in1k/vit-base-p16_ft-8xb128-coslr-100e_in1k/vit-base-p16_ft-8xb128-coslr-100e_in1k_20220825-cf70aa21.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-base-p16_8xb512-fp16-coslr-1600e_in1k/vit-base-p16_ft-8xb128-coslr-100e_in1k/vit-base-p16_ft-8xb128-coslr-100e_in1k_20220721_202304.json'>log</a></td>
+	</tr>
+  <tr>
+	    <td>ViT-large</td>
+	    <td>400</td>
+      <td>4096</td>
+      <td>70.7</td>
+      <td>85.2</td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/selfsup/mae/mae_vit-large-p16_8xb512-amp-coslr-400e_in1k.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-large-p16_8xb512-fp16-coslr-400e_in1k/mae_vit-large-p16_8xb512-fp16-coslr-400e_in1k_20220825-b11d0425.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-large-p16_8xb512-fp16-coslr-400e_in1k/mae_vit-large-p16_8xb512-fp16-coslr-400e_in1k_20220726_202204.json'>log</a></td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-large-p16_linear-8xb2048-coslr-90e_in1k.py'>config</a> | model | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-large-p16_8xb512-fp16-coslr-400e_in1k/vit-large-p16_linear-8xb2048-coslr-90e_in1k/vit-large-p16_linear-8xb2048-coslr-90e_in1k_20220803_101331.json'>log</a></td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-large-p16_ft-8xb128-coslr-50e_in1k.py'>config</a> | model | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-large-p16_8xb512-fp16-coslr-400e_in1k/vit-large-p16_ft-8xb128-coslr-50e_in1k/vit-large-p16_ft-8xb128-coslr-50e_in1k_20220729_122511.json'>log</a></td>
+	</tr>
+  <tr>
+	    <td>ViT-large</td>
+	    <td>800</td>
+      <td>4096</td>
+      <td>73.7</td>
+      <td>85.4</td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/selfsup/mae/mae_vit-large-p16_8xb512-amp-coslr-800e_in1k.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-large-p16_8xb512-fp16-coslr-800e_in1k/mae_vit-large-p16_8xb512-fp16-coslr-800e_in1k_20220825-df72726a.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-large-p16_8xb512-fp16-coslr-800e_in1k/mae_vit-large-p16_8xb512-fp16-coslr-800e_in1k_20220804_104018.json'>log</a></td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-large-p16_linear-8xb2048-coslr-90e_in1k.py'>config</a> | model | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-large-p16_8xb512-fp16-coslr-800e_in1k/vit-large-p16_linear-8xb2048-coslr-90e_in1k/vit-large-p16_linear-8xb2048-coslr-90e_in1k_20220808_092730.json'>log</a></td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-large-p16_ft-8xb128-coslr-50e_in1k.py'>config</a> | model | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-large-p16_8xb512-fp16-coslr-800e_in1k/vit-large-p16_ft-8xb128-coslr-50e_in1k/vit-large-p16_ft-8xb128-coslr-50e_in1k_20220730_235819.json'>log</a></td>
+	</tr>
+  <tr>
+	    <td>ViT-large</td>
+	    <td>1600</td>
+      <td>4096</td>
+      <td>75.5</td>
+      <td>85.7</td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/selfsup/mae/mae_vit-large-p16_8xb512-amp-coslr-1600e_in1k.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-large-p16_8xb512-fp16-coslr-1600e_in1k/mae_vit-large-p16_8xb512-fp16-coslr-1600e_in1k_20220825-cc7e98c9.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-large-p16_8xb512-fp16-coslr-1600e_in1k/mae_vit-large-p16_8xb512-fp16-coslr-1600e_in1k_20220806_210725.json'>log</a></td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-large-p16_linear-8xb2048-coslr-90e_in1k.py'>config</a> | model | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-large-p16_8xb512-fp16-coslr-1600e_in1k/vit-large-p16_linear-8xb2048-coslr-90e_in1k/vit-large-p16_linear-8xb2048-coslr-90e_in1k_20220813_155615.json'>log</a></td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-large-p16_ft-8xb128-coslr-50e_in1k.py'>config</a> | model | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-large-p16_8xb512-fp16-coslr-1600e_in1k/vit-large-p16_ft-8xb128-coslr-50e_in1k/vit-large-p16_ft-8xb128-coslr-50e_in1k_20220813_125305.json'>log</a></td>
+	</tr>
+  <tr>
+	    <td>ViT-huge-FT-224</td>
+	    <td>1600</td>
+      <td>4096</td>
+      <td>/</td>
+      <td>86.9</td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/selfsup/mae/mae_vit-huge-p16_8xb512-amp-coslr-1600e_in1k.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k_20220916-ff848775.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k_20220814_135241.json'>log</a></td>
+      <td>/</td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-huge-p16_ft-8xb128-coslr-50e_in1k.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k/vit-huge-p16_ft-8xb128-coslr-50e_in1k/vit-huge-p16_ft-8xb128-coslr-50e_in1k_20220916-0bfc9bfd.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k/vit-huge-p16_ft-8xb128-coslr-50e_in1k/vit-huge-p16_ft-8xb128-coslr-50e_in1k_20220829_114027.json'>log</a></td>
+	</tr>
+  <tr>
+	    <td>ViT-huge-FT-448</td>
+	    <td>1600</td>
+      <td>4096</td>
+      <td>/</td>
+      <td>87.3</td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/selfsup/mae/mae_vit-huge-p16_8xb512-amp-coslr-1600e_in1k.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k_20220916-ff848775.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k_20220814_135241.json'>log</a></td>
+      <td>/</td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-huge-p16_ft-32xb8-coslr-50e_in1k-448.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k/vit-huge-p16_ft-32xb8-coslr-50e_in1k-448/vit-huge-p16_ft-32xb8-coslr-50e_in1k-448_20220916-95b6a0ce.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k/vit-huge-p16_ft-32xb8-coslr-50e_in1k-448/vit-huge-p16_ft-32xb8-coslr-50e_in1k-448_20220913_113737.json'>log</a></td>
+	</tr>
+</tbody>
+</table>
 
 ## Citation
 

diff --git a/docs/en/model_zoo.md b/docs/en/model_zoo.md
@@ -230,7 +230,7 @@ ImageNet has multiple versions, but the most commonly used one is ILSVRC 2012. T
       <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-large-p16_ft-8xb64-coslr-100e_in1k.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mocov3/mocov3_vit-large-p16_64xb64-amp-coslr-300e_in1k/vit-large-p16_ft-8xb64-coslr-100e_in1k/vit-large-p16_ft-8xb64-coslr-100e_in1k_20220829-878a2f7f.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mocov3/mocov3_vit-large-p16_64xb64-amp-coslr-300e_in1k/vit-large-p16_ft-8xb64-coslr-100e_in1k/vit-large-p16_ft-8xb64-coslr-100e_in1k_20220825_201433.json'>log</a></td>
 	</tr>
   <tr>
-      <td rowspan="7">MAE</td>
+      <td rowspan="9">MAE</td>
 	    <td>ViT-base</td>
 	    <td>300</td>
       <td>4096</td>
@@ -300,6 +300,26 @@ ImageNet has multiple versions, but the most commonly used one is ILSVRC 2012. T
       <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-large-p16_linear-8xb2048-coslr-90e_in1k.py'>config</a> | model | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-large-p16_8xb512-fp16-coslr-1600e_in1k/vit-large-p16_linear-8xb2048-coslr-90e_in1k/vit-large-p16_linear-8xb2048-coslr-90e_in1k_20220813_155615.json'>log</a></td>
       <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-large-p16_ft-8xb128-coslr-50e_in1k.py'>config</a> | model | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-large-p16_8xb512-fp16-coslr-1600e_in1k/vit-large-p16_ft-8xb128-coslr-50e_in1k/vit-large-p16_ft-8xb128-coslr-50e_in1k_20220813_125305.json'>log</a></td>
 	</tr>
+  <tr>
+	    <td>ViT-huge-FT-224</td>
+	    <td>1600</td>
+      <td>4096</td>
+      <td>/</td>
+      <td>86.9</td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/selfsup/mae/mae_vit-huge-p16_8xb512-amp-coslr-1600e_in1k.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k_20220916-ff848775.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k_20220814_135241.json'>log</a></td>
+      <td>/</td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-huge-p16_ft-8xb128-coslr-50e_in1k.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k/vit-huge-p16_ft-8xb128-coslr-50e_in1k/vit-huge-p16_ft-8xb128-coslr-50e_in1k_20220916-0bfc9bfd.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k/vit-huge-p16_ft-8xb128-coslr-50e_in1k/vit-huge-p16_ft-8xb128-coslr-50e_in1k_20220829_114027.json'>log</a></td>
+	</tr>
+  <tr>
+	    <td>ViT-huge-FT-448</td>
+	    <td>1600</td>
+      <td>4096</td>
+      <td>/</td>
+      <td>87.3</td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/selfsup/mae/mae_vit-huge-p16_8xb512-amp-coslr-1600e_in1k.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k_20220916-ff848775.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k_20220814_135241.json'>log</a></td>
+      <td>/</td>
+      <td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/vit-huge-p16_ft-32xb8-coslr-50e_in1k-448.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k/vit-huge-p16_ft-32xb8-coslr-50e_in1k-448/vit-huge-p16_ft-32xb8-coslr-50e_in1k-448_20220916-95b6a0ce.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/mae/mae_vit-huge-p16_8xb512-fp16-coslr-1600e_in1k/vit-huge-p16_ft-32xb8-coslr-50e_in1k-448/vit-huge-p16_ft-32xb8-coslr-50e_in1k-448_20220913_113737.json'>log</a></td>
+	</tr>
   <tr>
       <td>CAE</td>
 	    <td>ViT-base</td>