Update README.md

README.md

@@ -6,7 +6,9 @@ pipeline_tag: zero-shot-classification
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 # Formulas have been purified
 
-The newest vit_zana_nano train has shown a very clean curve. runs/vit_zana_nano/20250913_192119
+The newest vit_zana_nano train has shown a very clean curve. runs/vit_zana_nano/20250913_192119 which is about a 3 meg model capable of creating >50% accuracy 128 dim features from cifar100 classification.
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+This clean curve means the process is stable enough to introduce a larger set of depth and blocks without destroying the internals; simultaneously enforcing the 5 loss formulas specifically curated for the pentachora math.
 
 I've begun training a much deeper zana dubbed vit_zana_shaper. This model has 32 layers deep with MLP ratio of 1 and 2 attention heads, resting at about 3.5 million params or so.