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Create cell_7_enough_of_this_crap_time_to_really_fix_the_model.txt

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cell_7_enough_of_this_crap_time_to_really_fix_the_model.txt ADDED
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1
+ Loading Fresnel (v50_fresnel_64) with conduit solver...
2
+ v50_fresnel_64/checkpoints/best.pt: 100%
3
+  23.6M/23.6M [00:01<00:00, 43.8MB/s]
4
+ Patch size: 4, Grid: 16x16, D=4, Patches/image: 256
5
+ Solver: conduit
6
+ Conduit packet shape: friction=torch.Size([512, 4])
7
+ Expected: (512, 4) = (512, 4)
8
+ CONDUIT ACTIVE βœ“
9
+
10
+ Precomputing train set (real conduit telemetry)...
11
+ Train: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 391/391 [00:06<00:00, 60.82it/s]
12
+ Train: 50000 images
13
+ Precomputing test set...
14
+ Test: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 79/79 [00:01<00:00, 55.78it/s]
15
+ Test: 10000 images
16
+
17
+ ======================================================================
18
+ SIGNAL PROFILE β€” Real conduit telemetry from Fresnel
19
+ ======================================================================
20
+ S_orig : mean= 3.2954 std= 1.0679 min= 1.7956 max= 5.27
21
+ S_coord : mean= 3.3211 std= 1.0776 min= 1.8156 max= 5.32
22
+ friction : mean= 44.1942 std= 9481.6689 min= 4.6247 max= 40158816.00
23
+ settle : mean= 1.6755 std= 0.7641 min= 0.0000 max= 4.00
24
+ error : mean= 0.0000 std= 0.0000 min= 0.0000 max= 0.00
25
+ log1p_fric: mean= 2.7064 std= 1.1193 min= 1.7272 max= 17.51
26
+
27
+ Per-class mean friction (raw):
28
+ airplane : raw= 75.08 log1p= 2.812
29
+ auto : raw= 50.10 log1p= 2.716
30
+ bird : raw= 40.37 log1p= 2.687
31
+ cat : raw= 33.16 log1p= 2.678
32
+ deer : raw= 30.15 log1p= 2.656
33
+ dog : raw= 31.56 log1p= 2.676
34
+ frog : raw= 29.17 log1p= 2.636
35
+ horse : raw= 31.70 log1p= 2.675
36
+ ship : raw= 73.68 log1p= 2.804
37
+ truck : raw= 46.96 log1p= 2.723
38
+
39
+ Spatial CV (per-image std/mean across 16x16 grid):
40
+ S_orig : mean_CV=0.3239 median_CV=0.3272
41
+ friction : mean_CV=2.4156 median_CV=1.3275
42
+ settle : mean_CV=0.4516 median_CV=0.4570
43
+ error : mean_CV=0.2689 median_CV=0.2177
44
+
45
+ ======================================================================
46
+ FRESNEL CONDUIT β€” Spatial Conv Readout (Real Decomposition)
47
+ ======================================================================
48
+
49
+ ──────────────────────────────────────────────────────────────────────
50
+ Training: S_orig (raw eigenvalues) β€” 4ch
51
+ ──────────────────────────────────────────────────────────────────────
52
+ ep 5 train=33.6% test=34.9%
53
+ ep 10 train=38.2% test=39.5%
54
+ ep 15 train=40.8% test=41.2%
55
+ ep 20 train=42.6% test=42.7%
56
+ ep 25 train=43.5% test=43.9%
57
+ ep 30 train=44.0% test=44.4%
58
+
59
+ S_orig (raw eigenvalues) β€” 4ch
60
+ Channels: 4, Params: 232,714, Time: 29s
61
+ Best test: 44.4%
62
+
63
+ Class Acc
64
+ ----------------------
65
+ airplane 47.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
66
+ auto 59.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
67
+ bird 33.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
68
+ cat 25.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
69
+ deer 28.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
70
+ dog 37.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
71
+ frog 51.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
72
+ horse 44.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
73
+ ship 63.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
74
+ truck 52.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
75
+
76
+
77
+ ──────────────────────────────────────────────────────────────────────
78
+ Training: S_coord (cross-attn coordinated) β€” 4ch
79
+ ──────────────────────────────────────────────────────────────────────
80
+ ep 5 train=32.1% test=33.2%
81
+ ep 10 train=37.6% test=39.1%
82
+ ep 15 train=40.8% test=41.0%
83
+ ep 20 train=42.2% test=43.2%
84
+ ep 25 train=43.5% test=43.5%
85
+ ep 30 train=43.9% test=43.9%
86
+
87
+ S_coord (cross-attn coordinated) β€” 4ch
88
+ Channels: 4, Params: 232,714, Time: 30s
89
+ Best test: 44.1%
90
+
91
+ Class Acc
92
+ ----------------------
93
+ airplane 46.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
94
+ auto 57.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
95
+ bird 31.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
96
+ cat 23.3% β–ˆβ–ˆβ–ˆβ–ˆ
97
+ deer 28.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
98
+ dog 37.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
99
+ frog 53.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
100
+ horse 46.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
101
+ ship 63.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
102
+ truck 52.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
103
+
104
+
105
+ ──────────────────────────────────────────────────────────────────────
106
+ Training: Friction (log1p, real decomp) β€” 4ch
107
+ ──────────────────────────────────────────────────────────────────────
108
+ ep 5 train=28.7% test=31.8%
109
+ ep 10 train=34.5% test=36.3%
110
+ ep 15 train=37.8% test=39.1%
111
+ ep 20 train=39.8% test=40.3%
112
+ ep 25 train=40.8% test=41.1%
113
+ ep 30 train=41.2% test=41.4%
114
+
115
+ Friction (log1p, real decomp) β€” 4ch
116
+ Channels: 4, Params: 232,714, Time: 29s
117
+ Best test: 41.5%
118
+
119
+ Class Acc
120
+ ----------------------
121
+ airplane 48.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
122
+ auto 58.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
123
+ bird 26.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
124
+ cat 19.0% β–ˆβ–ˆβ–ˆ
125
+ deer 35.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
126
+ dog 33.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
127
+ frog 47.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
128
+ horse 39.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
129
+ ship 57.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
130
+ truck 47.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
131
+
132
+
133
+ ──────────────────────────────────────────────────────────────────────
134
+ Training: Release error only β€” 1ch
135
+ ──────────────────────────────────────────────────────────────────────
136
+ ep 5 train=9.8% test=10.0%
137
+ ep 10 train=9.7% test=10.0%
138
+ ep 15 train=9.8% test=10.0%
139
+ ep 20 train=9.7% test=10.0%
140
+ ep 25 train=9.9% test=10.0%
141
+ ep 30 train=10.0% test=10.0%
142
+
143
+ Release error only β€” 1ch
144
+ Channels: 1, Params: 230,986, Time: 29s
145
+ Best test: 10.0%
146
+
147
+ Class Acc
148
+ ----------------------
149
+ airplane 0.0%
150
+ auto 100.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
151
+ bird 0.0%
152
+ cat 0.0%
153
+ deer 0.0%
154
+ dog 0.0%
155
+ frog 0.0%
156
+ horse 0.0%
157
+ ship 0.0%
158
+ truck 0.0%
159
+
160
+
161
+ ──────────────────────────────────────────────────────────────────────
162
+ Training: Settle only β€” 4ch
163
+ ──────────────────────────────────────────────────────────────────────
164
+ ep 5 train=30.8% test=31.1%
165
+ ep 10 train=34.7% test=34.4%
166
+ ep 15 train=37.3% test=36.8%
167
+ ep 20 train=38.9% test=37.7%
168
+ ep 25 train=39.8% test=38.7%
169
+ ep 30 train=40.2% test=39.2%
170
+
171
+ Settle only β€” 4ch
172
+ Channels: 4, Params: 232,714, Time: 30s
173
+ Best test: 39.2%
174
+
175
+ Class Acc
176
+ ----------------------
177
+ airplane 32.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
178
+ auto 47.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
179
+ bird 33.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
180
+ cat 19.7% β–ˆβ–ˆβ–ˆ
181
+ deer 30.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
182
+ dog 37.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
183
+ frog 50.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
184
+ horse 43.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
185
+ ship 51.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
186
+ truck 46.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
187
+
188
+
189
+ ──────────────────────────────────────────────────────────────────────
190
+ Training: S_orig + Friction β€” 8ch
191
+ ──────────────────────────────────────────────────────────────────────
192
+ ep 5 train=30.7% test=32.2%
193
+ ep 10 train=38.4% test=39.3%
194
+ ep 15 train=42.3% test=42.5%
195
+ ep 20 train=44.4% test=44.2%
196
+ ep 25 train=45.4% test=45.5%
197
+ ep 30 train=46.0% test=45.3%
198
+
199
+ S_orig + Friction β€” 8ch
200
+ Channels: 8, Params: 235,018, Time: 31s
201
+ Best test: 45.7%
202
+
203
+ Class Acc
204
+ ----------------------
205
+ airplane 54.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
206
+ auto 59.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
207
+ bird 32.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
208
+ cat 23.1% β–ˆβ–ˆβ–ˆβ–ˆ
209
+ deer 31.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
210
+ dog 35.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
211
+ frog 54.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
212
+ horse 47.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
213
+ ship 63.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
214
+ truck 50.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
215
+
216
+
217
+ ──────────────────────────────────────────────────────────────────────
218
+ Training: S_orig + Release β€” 5ch
219
+ ───────────────────────────��──────────────────────────────────────────
220
+ ep 5 train=31.6% test=33.4%
221
+ ep 10 train=37.4% test=38.3%
222
+ ep 15 train=40.2% test=39.5%
223
+ ep 20 train=41.6% test=42.2%
224
+ ep 25 train=42.9% test=42.8%
225
+ ep 30 train=43.2% test=43.0%
226
+
227
+ S_orig + Release β€” 5ch
228
+ Channels: 5, Params: 233,290, Time: 30s
229
+ Best test: 43.1%
230
+
231
+ Class Acc
232
+ ----------------------
233
+ airplane 45.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
234
+ auto 56.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
235
+ bird 29.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
236
+ cat 24.3% β–ˆβ–ˆβ–ˆβ–ˆ
237
+ deer 29.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
238
+ dog 36.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
239
+ frog 51.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
240
+ horse 44.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
241
+ ship 61.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
242
+ truck 50.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
243
+
244
+
245
+ ──────────────────────────────────────────────────────────────────────
246
+ Training: S_orig + Friction + Release β€” 9ch
247
+ ──────────────────────────────────────────────────────────────────────
248
+ ep 5 train=32.2% test=34.4%
249
+ ep 10 train=40.2% test=41.3%
250
+ ep 15 train=43.7% test=44.5%
251
+ ep 20 train=45.9% test=46.1%
252
+ ep 25 train=47.1% test=46.9%
253
+ ep 30 train=47.2% test=47.0%
254
+
255
+ S_orig + Friction + Release β€” 9ch
256
+ Channels: 9, Params: 235,594, Time: 31s
257
+ Best test: 47.0%
258
+
259
+ Class Acc
260
+ ----------------------
261
+ airplane 55.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
262
+ auto 62.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
263
+ bird 35.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
264
+ cat 24.3% β–ˆβ–ˆβ–ˆβ–ˆ
265
+ deer 31.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
266
+ dog 36.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
267
+ frog 56.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
268
+ horse 50.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
269
+ ship 65.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
270
+ truck 53.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
271
+
272
+
273
+ ──────────────────────────────────────────────────────────────────────
274
+ Training: FULL CONDUIT β€” 13ch
275
+ ──────────────────────────────────────────────────────────────────────
276
+ ep 5 train=34.2% test=36.8%
277
+ ep 10 train=40.8% test=40.1%
278
+ ep 15 train=44.1% test=44.6%
279
+ ep 20 train=46.4% test=46.1%
280
+ ep 25 train=47.5% test=46.9%
281
+ ep 30 train=48.0% test=47.1%
282
+
283
+ FULL CONDUIT β€” 13ch
284
+ Channels: 13, Params: 237,898, Time: 33s
285
+ Best test: 47.1%
286
+
287
+ Class Acc
288
+ ----------------------
289
+ airplane 55.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
290
+ auto 62.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
291
+ bird 31.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
292
+ cat 22.3% β–ˆβ–ˆβ–ˆβ–ˆ
293
+ deer 31.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
294
+ dog 40.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
295
+ frog 59.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
296
+ horse 50.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
297
+ ship 63.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
298
+ truck 53.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
299
+
300
+
301
+ ======================================================================
302
+ SCOREBOARD β€” Fresnel Conduit (Real Decomposition Telemetry)
303
+ ======================================================================
304
+
305
+ Configuration Ch Params Test Acc
306
+ ------------------------------------------------------------------
307
+ Chance β€” β€” 10.0%
308
+ Release error only β€” 1ch 1 230,986 10.0%
309
+ Settle only β€” 4ch 4 232,714 39.2%
310
+ Friction (log1p, real decomp) β€” 4ch 4 232,714 41.5%
311
+ S_orig + Release β€” 5ch 5 233,290 43.1%
312
+ S_coord (cross-attn coordinated) β€” 4ch 4 232,714 44.1%
313
+ S_orig (raw eigenvalues) β€” 4ch 4 232,714 44.4%
314
+ S_orig + Friction β€” 8ch 8 235,018 45.7%
315
+ S_orig + Friction + Release β€” 9ch 9 235,594 47.0%
316
+ FULL CONDUIT β€” 13ch 13 237,898 47.1%
317
+
318
+ --- PREVIOUS (circular Gram, INVALID) ---
319
+ Freckles friction conv (circular) 4 232K 45.8%
320
+ Freckles S conv (circular) 4 232K 20.9%
321
+
322
+ S_orig only: 44.4%
323
+ Best conduit: 47.1% (FULL CONDUIT β€” 13ch)
324
+ Conduit lift: +2.7pp
325
+
326
+ THIS IS THE REAL TEST.
327
+ Friction from the actual decomposition, not reconstructed Gram matrices.