Update model config and README

README.md

@@ -17,8 +17,8 @@ A Hiera image classification model. Pretrained on ImageNet-1k with Self-Supervis
 - **Model Type:** Image classification / feature backbone
 - **Model Stats:**
   - Params (M): 51.5
-  - GMACs: 9.4
-  - Activations (M): 30.4
+  - GMACs: 8.8
+  - Activations (M): 25.1
   - Image size: 224 x 224
 - **Dataset:** ImageNet-1k
 - **Papers:**
@@ -118,14 +118,16 @@ output = model.forward_head(output, pre_logits=True)
 ## Model Comparison
 ### By Top-1
 
-|model                            |top1  |top1_err|top5  |top5_err|param_count|
-|---------------------------------|------|--------|------|--------|-----------|
-|hiera_huge_224.mae_in1k_ft_in1k     |86.834|13.166  |98.01 |1.99    |672.78     |
-|hiera_large_224.mae_in1k_ft_in1k    |86.042|13.958  |97.648|2.352   |213.74     |
-|hiera_base_plus_224.mae_in1k_ft_in1k|85.134|14.866  |97.158|2.842   |69.9       |
-|hiera_base_224.mae_in1k_ft_in1k     |84.49 |15.51   |97.032|2.968   |51.52      |
-|hiera_small_224.mae_in1k_ft_in1k    |83.884|16.116  |96.684|3.316   |35.01      |
-|hiera_tiny_224.mae_in1k_ft_in1k     |82.786|17.214  |96.204|3.796   |27.91      |
+|model                            |top1  |top5  |param_count|
+|---------------------------------|------|------|-----------|
+|hiera_huge_224.mae_in1k_ft_in1k     |86.834|98.01 |672.78     |
+|hiera_large_224.mae_in1k_ft_in1k    |86.042|97.648|213.74     |
+|hiera_base_plus_224.mae_in1k_ft_in1k|85.134|97.158|69.9       |
+|hiera_small_abswin_256.sbb2_e200_in12k_ft_in1k    |84.912|97.260|35.01      |
+|hiera_small_abswin_256.sbb2_pd_e200_in12k_ft_in1k |84.560|97.106|35.01      |
+|hiera_base_224.mae_in1k_ft_in1k     |84.49 |97.032|51.52      |
+|hiera_small_224.mae_in1k_ft_in1k    |83.884|96.684|35.01      |
+|hiera_tiny_224.mae_in1k_ft_in1k     |82.786|96.204|27.91      |
 
 ## Citation
 ```bibtex