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Create cell_5_output.txt

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cell_5_output.txt ADDED
@@ -0,0 +1,360 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Loading Freckles v40 + CIFAR-10...
2
+
3
+ Precomputing train set...
4
+
5
+ Train: 0%| | 0/391 [00:00<?, ?it/s]
6
+ Train: 1%| | 2/391 [00:00<00:21, 18.10it/s]
7
+ Train: 2%|▏ | 7/391 [00:00<00:11, 34.74it/s]
8
+ Train: 3%|β–Ž | 12/391 [00:00<00:09, 40.25it/s]
9
+ Train: 4%|▍ | 17/391 [00:00<00:08, 42.89it/s]
10
+ Train: 6%|β–Œ | 22/391 [00:00<00:08, 44.37it/s]
11
+ Train: 7%|β–‹ | 27/391 [00:00<00:08, 45.24it/s]
12
+ Train: 8%|β–Š | 32/391 [00:00<00:07, 45.80it/s]
13
+ Train: 9%|β–‰ | 37/391 [00:00<00:07, 46.14it/s]
14
+ Train: 11%|β–ˆ | 42/391 [00:00<00:07, 46.38it/s]
15
+ Train: 12%|β–ˆβ– | 47/391 [00:01<00:07, 46.53it/s]
16
+ Train: 13%|β–ˆβ–Ž | 52/391 [00:01<00:07, 46.59it/s]
17
+ Train: 15%|β–ˆβ– | 57/391 [00:01<00:07, 46.63it/s]
18
+ Train: 16%|β–ˆβ–Œ | 62/391 [00:01<00:07, 46.64it/s]
19
+ Train: 17%|β–ˆβ–‹ | 67/391 [00:01<00:06, 46.74it/s]
20
+ Train: 18%|β–ˆβ–Š | 72/391 [00:01<00:06, 46.76it/s]
21
+ Train: 20%|β–ˆβ–‰ | 77/391 [00:01<00:06, 46.88it/s]
22
+ Train: 21%|β–ˆβ–ˆ | 82/391 [00:01<00:06, 46.95it/s]
23
+ Train: 22%|β–ˆβ–ˆβ– | 87/391 [00:01<00:06, 47.03it/s]
24
+ Train: 24%|β–ˆβ–ˆβ–Ž | 92/391 [00:02<00:06, 47.07it/s]
25
+ Train: 25%|β–ˆβ–ˆβ– | 97/391 [00:02<00:06, 47.08it/s]
26
+ Train: 26%|β–ˆβ–ˆβ–Œ | 102/391 [00:02<00:06, 47.13it/s]
27
+ Train: 27%|β–ˆβ–ˆβ–‹ | 107/391 [00:02<00:06, 47.16it/s]
28
+ Train: 29%|β–ˆβ–ˆβ–Š | 112/391 [00:02<00:05, 47.15it/s]
29
+ Train: 30%|β–ˆβ–ˆβ–‰ | 117/391 [00:02<00:05, 47.14it/s]
30
+ Train: 31%|β–ˆβ–ˆβ–ˆ | 122/391 [00:02<00:05, 47.16it/s]
31
+ Train: 32%|β–ˆβ–ˆβ–ˆβ– | 127/391 [00:02<00:05, 47.15it/s]
32
+ Train: 34%|β–ˆβ–ˆβ–ˆβ– | 132/391 [00:02<00:05, 47.14it/s]
33
+ Train: 35%|β–ˆβ–ˆβ–ˆβ–Œ | 137/391 [00:02<00:05, 47.13it/s]
34
+ Train: 36%|β–ˆβ–ˆβ–ˆβ–‹ | 142/391 [00:03<00:05, 47.11it/s]
35
+ Train: 38%|β–ˆβ–ˆβ–ˆβ–Š | 147/391 [00:03<00:05, 47.12it/s]
36
+ Train: 39%|β–ˆβ–ˆβ–ˆβ–‰ | 152/391 [00:03<00:05, 47.13it/s]
37
+ Train: 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 157/391 [00:03<00:04, 47.12it/s]
38
+ Train: 41%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 162/391 [00:03<00:04, 47.12it/s]
39
+ Train: 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 167/391 [00:03<00:04, 47.12it/s]
40
+ Train: 44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 172/391 [00:03<00:04, 47.13it/s]
41
+ Train: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 177/391 [00:03<00:04, 47.13it/s]
42
+ Train: 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 182/391 [00:03<00:04, 47.14it/s]
43
+ Train: 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 187/391 [00:04<00:04, 47.13it/s]
44
+ Train: 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 192/391 [00:04<00:04, 47.12it/s]
45
+ Train: 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 197/391 [00:04<00:04, 47.13it/s]
46
+ Train: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 202/391 [00:04<00:04, 47.14it/s]
47
+ Train: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 207/391 [00:04<00:03, 47.14it/s]
48
+ Train: 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 212/391 [00:04<00:03, 47.12it/s]
49
+ Train: 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 217/391 [00:04<00:03, 47.10it/s]
50
+ Train: 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 222/391 [00:04<00:03, 47.11it/s]
51
+ Train: 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 227/391 [00:04<00:03, 47.08it/s]
52
+ Train: 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 232/391 [00:04<00:03, 47.08it/s]
53
+ Train: 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 237/391 [00:05<00:03, 47.04it/s]
54
+ Train: 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 242/391 [00:05<00:03, 47.03it/s]
55
+ Train: 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 247/391 [00:05<00:03, 47.03it/s]
56
+ Train: 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 252/391 [00:05<00:02, 47.02it/s]
57
+ Train: 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 257/391 [00:05<00:02, 47.06it/s]
58
+ Train: 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 262/391 [00:05<00:02, 47.12it/s]
59
+ Train: 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 267/391 [00:05<00:02, 47.12it/s]
60
+ Train: 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 272/391 [00:05<00:02, 47.11it/s]
61
+ Train: 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 277/391 [00:05<00:02, 47.09it/s]
62
+ Train: 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 282/391 [00:06<00:02, 47.08it/s]
63
+ Train: 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 287/391 [00:06<00:02, 47.07it/s]
64
+ Train: 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 292/391 [00:06<00:02, 47.04it/s]
65
+ Train: 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 297/391 [00:06<00:01, 47.02it/s]
66
+ Train: 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 302/391 [00:06<00:01, 47.03it/s]
67
+ Train: 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 307/391 [00:06<00:01, 47.05it/s]
68
+ Train: 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 312/391 [00:06<00:01, 47.05it/s]
69
+ Train: 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 317/391 [00:06<00:01, 47.09it/s]
70
+ Train: 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 322/391 [00:06<00:01, 47.11it/s]
71
+ Train: 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 327/391 [00:07<00:01, 47.08it/s]
72
+ Train: 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 332/391 [00:07<00:01, 47.06it/s]
73
+ Train: 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 337/391 [00:07<00:01, 47.14it/s]
74
+ Train: 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 342/391 [00:07<00:01, 47.18it/s]
75
+ Train: 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 347/391 [00:07<00:00, 47.19it/s]
76
+ Train: 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 352/391 [00:07<00:00, 47.24it/s]
77
+ Train: 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 357/391 [00:07<00:00, 47.20it/s]
78
+ Train: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 362/391 [00:07<00:00, 47.22it/s]
79
+ Train: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆοΏ½οΏ½οΏ½| 367/391 [00:07<00:00, 47.24it/s]
80
+ Train: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 372/391 [00:07<00:00, 47.21it/s]
81
+ Train: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 377/391 [00:08<00:00, 47.17it/s]
82
+ Train: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 382/391 [00:08<00:00, 47.19it/s]
83
+ Train: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 391/391 [00:08<00:00, 46.29it/s]
84
+ Train: 50000 images
85
+ Precomputing test set...
86
+
87
+ Test: 0%| | 0/79 [00:00<?, ?it/s]
88
+ Test: 1%|▏ | 1/79 [00:00<00:09, 8.51it/s]
89
+ Test: 8%|β–Š | 6/79 [00:00<00:02, 30.09it/s]
90
+ Test: 14%|β–ˆβ– | 11/79 [00:00<00:01, 37.54it/s]
91
+ Test: 20%|β–ˆβ–ˆ | 16/79 [00:00<00:01, 41.19it/s]
92
+ Test: 27%|β–ˆβ–ˆβ–‹ | 21/79 [00:00<00:01, 43.26it/s]
93
+ Test: 33%|β–ˆβ–ˆβ–ˆβ–Ž | 26/79 [00:00<00:01, 44.51it/s]
94
+ Test: 39%|β–ˆβ–ˆβ–ˆβ–‰ | 31/79 [00:00<00:01, 45.31it/s]
95
+ Test: 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 36/79 [00:00<00:00, 45.88it/s]
96
+ Test: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 41/79 [00:00<00:00, 46.23it/s]
97
+ Test: 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 46/79 [00:01<00:00, 46.49it/s]
98
+ Test: 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 51/79 [00:01<00:00, 46.62it/s]
99
+ Test: 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 56/79 [00:01<00:00, 46.74it/s]
100
+ Test: 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 61/79 [00:01<00:00, 46.81it/s]
101
+ Test: 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 66/79 [00:01<00:00, 46.82it/s]
102
+ Test: 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 71/79 [00:01<00:00, 46.89it/s]
103
+ Test: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 79/79 [00:01<00:00, 42.76it/s] Test: 10000 images
104
+
105
+ ======================================================================
106
+ SPATIAL CONV READOUT β€” All conduit configurations
107
+ ======================================================================
108
+
109
+ ──────────────────────────────────────────────────────────────────────
110
+ Training: Eigenvalues (S) only β€” 4ch
111
+ ──────────────────────────────────────────────────────────────────────
112
+
113
+ ep 5 train=9.9% test=10.0%
114
+ ep 10 train=9.9% test=10.0%
115
+ ep 15 train=13.8% test=15.1%
116
+ ep 20 train=16.7% test=15.9%
117
+ ep 25 train=19.4% test=19.0%
118
+ ep 30 train=20.4% test=20.9%
119
+
120
+ Eigenvalues (S) only β€” 4ch
121
+ Channels: 4, Params: 232,714, Time: 28s
122
+ Best test: 20.9%
123
+
124
+ Class Acc
125
+ ----------------------
126
+ airplane 53.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
127
+ auto 4.3%
128
+ bird 3.6%
129
+ cat 0.3%
130
+ deer 3.3%
131
+ dog 26.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
132
+ frog 51.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
133
+ horse 7.1% β–ˆ
134
+ ship 8.2% β–ˆ
135
+ truck 51.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
136
+
137
+
138
+ ──────────────────────────────────────────────────────────────────────
139
+ Training: Friction only β€” 4ch
140
+ ──────────────────────────────────────────────────────────────────────
141
+ ep 5 train=30.0% test=31.6%
142
+ ep 10 train=38.5% test=38.4%
143
+ ep 15 train=42.2% test=42.9%
144
+ ep 20 train=43.7% test=43.3%
145
+ ep 25 train=45.4% test=45.5%
146
+ ep 30 train=45.8% test=45.8%
147
+
148
+ Friction only β€” 4ch
149
+ Channels: 4, Params: 232,714, Time: 28s
150
+ Best test: 45.8%
151
+
152
+ Class Acc
153
+ ----------------------
154
+ airplane 49.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
155
+ auto 56.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
156
+ bird 25.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
157
+ cat 28.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
158
+ deer 33.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
159
+ dog 40.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
160
+ frog 57.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
161
+ horse 53.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
162
+ ship 59.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
163
+ truck 52.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
164
+
165
+
166
+ ──────────────────────────────────────────────────────────────────────
167
+ Training: Release error only β€” 1ch
168
+ ──────────────────────────────────────────────────────────────────────
169
+ ep 5 train=9.9% test=10.0%
170
+ ep 10 train=9.8% test=10.0%
171
+ ep 15 train=10.1% test=10.0%
172
+ ep 20 train=9.9% test=10.0%
173
+ ep 25 train=9.9% test=10.0%
174
+ ep 30 train=10.0% test=10.0%
175
+
176
+ Release error only β€” 1ch
177
+ Channels: 1, Params: 230,986, Time: 27s
178
+ Best test: 10.0%
179
+
180
+ Class Acc
181
+ ----------------------
182
+ airplane 0.0%
183
+ auto 100.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
184
+ bird 0.0%
185
+ cat 0.0%
186
+ deer 0.0%
187
+ dog 0.0%
188
+ frog 0.0%
189
+ horse 0.0%
190
+ ship 0.0%
191
+ truck 0.0%
192
+
193
+
194
+ ──────────────────────────────────────────────────────────────────────
195
+ Training: Settle only β€” 4ch
196
+ ──────────────────────────────────────────────────────────────────────
197
+ ep 5 train=9.8% test=10.0%
198
+ ep 10 train=9.8% test=10.0%
199
+ ep 15 train=9.9% test=10.0%
200
+ ep 20 train=9.8% test=10.0%
201
+ ep 25 train=9.8% test=10.0%
202
+ ep 30 train=10.0% test=10.0%
203
+
204
+ Settle only β€” 4ch
205
+ Channels: 4, Params: 232,714, Time: 28s
206
+ Best test: 10.0%
207
+
208
+ Class Acc
209
+ ----------------------
210
+ airplane 0.0%
211
+ auto 100.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
212
+ bird 0.0%
213
+ cat 0.0%
214
+ deer 0.0%
215
+ dog 0.0%
216
+ frog 0.0%
217
+ horse 0.0%
218
+ ship 0.0%
219
+ truck 0.0%
220
+
221
+
222
+ ──────────────────────────────────────────────────────────────────────
223
+ Training: S + Friction β€” 8ch
224
+ ──────────────────────────────────────────────────────────────────────
225
+ ep 5 train=30.0% test=33.1%
226
+ ep 10 train=37.0% test=39.8%
227
+ ep 15 train=40.1% test=41.6%
228
+ ep 20 train=41.9% test=43.4%
229
+ ep 25 train=42.9% test=43.8%
230
+ ep 30 train=43.3% test=44.2%
231
+
232
+ S + Friction β€” 8ch
233
+ Channels: 8, Params: 235,018, Time: 29s
234
+ Best test: 44.2%
235
+
236
+ Class Acc
237
+ ----------------------
238
+ airplane 48.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
239
+ auto 52.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
240
+ bird 29.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
241
+ cat 27.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
242
+ deer 33.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
243
+ dog 35.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
244
+ frog 58.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
245
+ horse 50.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
246
+ ship 58.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
247
+ truck 49.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
248
+
249
+
250
+ ──────────────────────────────────────────────────────────────────────
251
+ Training: S + Release error β€” 5ch
252
+ ──────────────────────────────────────────────────────────────────────
253
+ ep 5 train=9.8% test=10.0%
254
+ ep 10 train=9.8% test=10.0%
255
+ ep 15 train=10.4% test=10.0%
256
+ ep 20 train=18.3% test=20.2%
257
+ ep 25 train=22.4% test=23.0%
258
+ ep 30 train=23.4% test=23.5%
259
+
260
+ S + Release error β€” 5ch
261
+ Channels: 5, Params: 233,290, Time: 29s
262
+ Best test: 23.8%
263
+
264
+ Class Acc
265
+ ----------------------
266
+ airplane 46.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
267
+ auto 16.6% β–ˆβ–ˆβ–ˆ
268
+ bird 1.5%
269
+ cat 0.4%
270
+ deer 3.4%
271
+ dog 33.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
272
+ frog 46.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
273
+ horse 9.2% β–ˆ
274
+ ship 37.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
275
+ truck 39.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
276
+
277
+
278
+ ──────────────────────────────────────────────────────────────────────
279
+ Training: S + Friction + Release β€” 9ch
280
+ ──────────────────────────────────────────────────────────────────────
281
+ ep 5 train=31.0% test=34.0%
282
+ ep 10 train=37.0% test=38.8%
283
+ ep 15 train=40.4% test=41.4%
284
+ ep 20 train=42.6% test=43.2%
285
+ ep 25 train=43.6% test=43.7%
286
+ ep 30 train=43.9% test=44.1%
287
+
288
+ S + Friction + Release β€” 9ch
289
+ Channels: 9, Params: 235,594, Time: 30s
290
+ Best test: 44.2%
291
+
292
+ Class Acc
293
+ ----------------------
294
+ airplane 48.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
295
+ auto 52.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
296
+ bird 29.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
297
+ cat 28.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
298
+ deer 32.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
299
+ dog 35.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
300
+ frog 56.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
301
+ horse 49.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
302
+ ship 58.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
303
+ truck 49.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
304
+
305
+
306
+ ──────────────────────────────────────────────────────────────────────
307
+ Training: FULL CONDUIT β€” 13ch
308
+ ──────────────────────────────────────────────────────────────────────
309
+ ep 5 train=29.7% test=31.5%
310
+ ep 10 train=37.1% test=37.7%
311
+ ep 15 train=40.6% test=41.3%
312
+ ep 20 train=42.4% test=43.1%
313
+ ep 25 train=43.6% test=43.7%
314
+ ep 30 train=44.3% test=44.5%
315
+
316
+ FULL CONDUIT β€” 13ch
317
+ Channels: 13, Params: 237,898, Time: 31s
318
+ Best test: 44.6%
319
+
320
+ Class Acc
321
+ ----------------------
322
+ airplane 48.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
323
+ auto 55.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
324
+ bird 27.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
325
+ cat 27.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
326
+ deer 33.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
327
+ dog 36.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
328
+ frog 57.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
329
+ horse 51.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
330
+ ship 58.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
331
+ truck 50.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
332
+
333
+
334
+ ======================================================================
335
+ SCOREBOARD β€” Spatial Conv Readout
336
+ ======================================================================
337
+
338
+ Configuration Channels Params Test Acc
339
+ -----------------------------------------------------------------
340
+ Chance β€” β€” 10.0%
341
+ Release error only β€” 1ch E 230,986 10.0%
342
+ Settle only β€” 4ch T 232,714 10.0%
343
+ Eigenvalues (S) only β€” 4ch S 232,714 20.9%
344
+ S + Release error β€” 5ch SE 233,290 23.8%
345
+ S + Friction + Release β€” 9ch SFE 235,594 44.2%
346
+ S + Friction β€” 8ch SF 235,018 44.2%
347
+ FULL CONDUIT β€” 13ch SFET 237,898 44.6%
348
+ Friction only β€” 4ch F 232,714 45.8%
349
+
350
+ --- REFERENCE (from earlier) ---
351
+ Linear probe (friction flat) β€” β€” 24.3%
352
+ Linear probe (S flat) β€” β€” 21.0%
353
+ Patchwork + calibrated embeds β€” 530K 48.0%
354
+ Scatter + conv (raw S) β€” 2.9M 70.5%
355
+ CNN condensed (SGD) β€” 730K 74.7%
356
+
357
+ S-only conv: 20.9%
358
+ Best conduit: 45.8% (Friction only β€” 4ch)
359
+ Conduit lift: +24.8pp
360
+ vs scatter+conv reference: -24.7pp