Update d-adaptation/notes.md

d-adaptation/notes.md

@@ -9,6 +9,9 @@ I have tried dim 8 alpha 1 with success as well as failure. Both Amber and Casto
 UMP ends up with image generations that look like a single brown square, still testing if alpha has a relationship to this issue.
 As noted in the same github issue, alpha/rank scaling modifies the gradient update to become smaller and thus d-adaptation to boost the learning rate. This could be the reason why it goes bad.
 
+UMP redone at dim 8 alpha 8 showed recognizable character but still significantly degraded aesthetics and prompt coherence. 
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 ## Dim
 128 dim shows some local noisy patterns. Reranking the model to a lower dim from 128 doesn't get rid of it. Converting the weights of the last up block in the unet does but also causes a noticable change in the generated character. Obviously you could reduce the last up block by a smaller amount.
 Lower dims show good performance. Need much larger test to check for accuracy between them.