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@@ -7,12 +7,13 @@ Thus, Ranger21 (as in 2021) is a rewrite with multiple new additions reflective
 
 ### Ranger21 Status:</br>
 <b> April 17 - building benchmark dataset(s)</b> As a cost effective way of testing Ranger21 and it's various options, currently taking a subset of ImageNet categories and building out at the high level an "ImageSubNet50" and also a few sub category datasets.  These are similar in spirit to ImageNette and ImageWoof, but hope to make a few relative improvements including pre-sizing to 224x224 for speed of training/testing.
-First sub-dataset in progress in ImageBirds, which includes:  
-n01614925 bald eagle 
-n01616318 vulture
-n01622779 grey owl  
-n01806143 peacock
-n01833805 hummingbird
+First sub-dataset in progress in ImageBirds, which includes:  </br>
+n01614925 bald eagle </br>
+n01616318 vulture</br>
+n01622779 grey owl</br>  
+n01806143 peacock</br>
+n01833805 hummingbird</br>
+</br>
 This is a medium-fine classification problem and will use as first tests for this type of benchmarking.  Ideally, will make a seperate repo for the ImageBirds shortly to make it available for people to use though hosting the dataset poses a cost problem... 
 
 <b> April 12 - positive negative momentum added, madgrad core checked in </b> Testing over the weekend showed that positive negative momentum works really well, and even better with GC.