Update README.md

README.md

@@ -18,6 +18,46 @@ Until now this has proven valuable, and now that it's become a hinderance a new
 # Experiment 1: Retune AdamW Directly
 I'll attempt to tweak AdamW specifically to not destroy the geometric shape, disabling weight_decay from this point onward.
 
+The outcomes have shown there isn't much beyond tuning specifics to tweak this particular classifier. Introducing more anchors helps, and with that the dims can be reduced.
+Essentially the anchors are capacity tuning forks in this variation rather than utilities, which is fine. We can allocate them to a student.
+
+```
+=================================================================
+SWEEP RESULTS
+=================================================================
+
+  Config           v_acc  t_acc    gap      cv     Δcv  eq_std  poly curve  star struct
+  ------------------------------------------------------------------------------------------
+  raw_adam         0.617  0.681 +0.064  1.3917 +1.1917  0.4075  0.39  0.75  0.86  0.61
+  proven           0.722  0.706 -0.016  1.3629 +1.1629  0.4157  0.45  0.99  0.93  0.71
+  +spread          0.669  0.686 +0.017  1.4491 +1.2491  0.4212  0.41  0.98  0.71  0.72
+  +entropy         0.674  0.711 +0.037  1.4945 +1.2945  0.4237  0.42  0.97  0.70  0.74
+  +ortho           0.695  0.690 -0.005  1.3454 +1.1454  0.4171  0.40  0.99  0.85  0.72
+  +cluster         0.701  0.717 +0.016  1.3034 +1.1034  0.4131  0.44  0.93  0.91  0.70
+  +drift           0.709  0.698 -0.012  1.3480 +1.1480  0.4134  0.41  1.00  0.91  0.72
+  +spr+ort         0.723  0.698 -0.025  1.3881 +1.1881  0.4224  0.46  0.97  0.94  0.71
+  +all_micro       0.694  0.700 +0.007  1.5181 +1.3181  0.4077  0.40  0.97  0.85  0.72
+
+  Best accuracy: +spr+ort (val_acc=0.723)
+  Best structure: +entropy (struct=0.737)
+  Closest to CV=0.2: +cluster (cv=1.3034, Δ=+1.1034)
+  Most equidistant: raw_adam (equi_std=0.4075)
+  Most stable CV: raw_adam (cv_std=0.1734)
+
+=================================================================
+DONE
+=================================================================
+```
+The outcomes show that we can definitely impact the outcome and the deviation of the system will conform to an entirely new spectrum of CV currently unoccupied.
+
+There's a lot to unpack here, and I think the biggest most critical piece to unpack is a hyperparameter about controlling where on the latent spectrum
+you want your model's continuum to exist within.
+
+# Experiment 2: Teacher/Student hierarchy
+I've ran plenty of genetic experiments, a single student anchored from a teacher should provide a more robust sweep
+
+
+
 
 ---------------------------------------------------------------------------------------------------
 # Large Experimental Conclusion 1: