AbstractPhil commited on
Commit
8642065
Β·
verified Β·
1 Parent(s): 9b60cdb

Create chalkboard_2_embeddings.txt

Browse files
v41_freckles_256/chalkboard_2_embeddings.txt ADDED
@@ -0,0 +1,190 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured.
2
+ WARNING:huggingface_hub._login:Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured.
3
+
4
+ ======================================================================
5
+ OMEGA PATCHWORK + EMBEDDINGS β€” CV-Regulated Lookup
6
+ ======================================================================
7
+ Local cache found.
8
+ Patches: 64x64 = 4096
9
+ Condense: S(4) β†’ features(15) [zero params]
10
+ Sphere norm: ONCE at boundary [zero params]
11
+ Embedding lookup: 64 Γ— 32-dim on unit sphere
12
+ Grid pool: 64x64 β†’ 8x8
13
+ Pool dim: 2048 β†’ 256 β†’ 10
14
+ Params: 529,642
15
+ CV target: 0.2915, cv_weight: 0.1
16
+ Batch: 512, lr=0.0003, epochs=30
17
+ ======================================================================
18
+ Ep 1/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 29.73it/s, loss=2.2785 acc=12.0% cv=0.181]
19
+ ep 1 | loss=2.2986 train=12.0% test=16.7% cv=0.178 | best=frog=83% worst=airplane=0% | 5s
20
+ Embed sim: avg=-0.000 min=-0.577 max=0.520
21
+
22
+ class acc
23
+ ----------------------
24
+ airplane 0.0%
25
+ automobile 38.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
26
+ bird 0.0%
27
+ cat 0.0%
28
+ deer 0.0%
29
+ dog 0.0%
30
+ frog 83.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
31
+ horse 0.0%
32
+ ship 45.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
33
+ truck 0.0%
34
+
35
+ Ep 2/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 29.53it/s, loss=2.2417 acc=16.6% cv=0.190]
36
+ ep 2 | loss=2.2277 train=16.6% test=18.6% cv=0.187 | best=ship=71% worst=automobile=0% | 5s
37
+ Ep 3/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 29.88it/s, loss=2.1547 acc=20.5% cv=0.194]
38
+ ep 3 | loss=2.1872 train=20.5% test=24.8% cv=0.192 | best=frog=65% worst=bird=11% | 5s
39
+ Ep 4/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 26.24it/s, loss=2.1846 acc=22.2% cv=0.198]
40
+ ep 4 | loss=2.1728 train=22.2% test=20.8% cv=0.196 | best=ship=79% worst=truck=3% | 6s
41
+ Ep 5/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 29.27it/s, loss=2.1494 acc=25.4% cv=0.204]
42
+ ep 5 | loss=2.1380 train=25.4% test=26.5% cv=0.201 | best=dog=51% worst=cat=3% | 5s
43
+ Embed sim: avg=0.026 min=-0.618 max=0.554
44
+
45
+ class acc
46
+ ----------------------
47
+ airplane 44.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
48
+ automobile 12.8% β–ˆβ–ˆ
49
+ bird 10.9% β–ˆβ–ˆ
50
+ cat 2.6%
51
+ deer 40.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
52
+ dog 51.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
53
+ frog 28.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
54
+ horse 23.8% β–ˆβ–ˆβ–ˆβ–ˆ
55
+ ship 27.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
56
+ truck 23.8% β–ˆβ–ˆβ–ˆβ–ˆ
57
+
58
+ Ep 6/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 31.52it/s, loss=2.0951 acc=26.7% cv=0.210]
59
+ ep 6 | loss=2.1036 train=26.7% test=28.9% cv=0.207 | best=truck=39% worst=bird=4% | 5s
60
+ Ep 7/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 29.60it/s, loss=2.0426 acc=28.3% cv=0.213]
61
+ ep 7 | loss=2.0756 train=28.3% test=29.5% cv=0.212 | best=ship=50% worst=bird=10% | 5s
62
+ Ep 8/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 29.18it/s, loss=2.0754 acc=28.8% cv=0.216]
63
+ ep 8 | loss=2.0695 train=28.8% test=30.1% cv=0.215 | best=frog=61% worst=bird=1% | 5s
64
+ Ep 9/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 26.45it/s, loss=2.0704 acc=29.6% cv=0.219]
65
+ ep 9 | loss=2.0498 train=29.6% test=30.9% cv=0.218 | best=frog=56% worst=bird=5% | 5s
66
+ Ep 10/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 28.19it/s, loss=2.0290 acc=30.4% cv=0.222]
67
+ ep 10 | loss=2.0393 train=30.4% test=31.3% cv=0.220 | best=ship=47% worst=bird=11% | 5s
68
+ Embed sim: avg=0.046 min=-0.648 max=0.620
69
+
70
+ class acc
71
+ ----------------------
72
+ airplane 31.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
73
+ automobile 32.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
74
+ bird 10.8% β–ˆβ–ˆ
75
+ cat 15.8% β–ˆβ–ˆβ–ˆ
76
+ deer 34.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
77
+ dog 33.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
78
+ frog 41.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
79
+ horse 36.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
80
+ ship 47.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
81
+ truck 28.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
82
+
83
+ Ep 11/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 29.87it/s, loss=1.9991 acc=31.1% cv=0.223]
84
+ ep 11 | loss=2.0299 train=31.1% test=32.3% cv=0.223 | best=frog=46% worst=bird=8% | 5s
85
+ Ep 12/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 29.39it/s, loss=1.9948 acc=31.3% cv=0.225]
86
+ ep 12 | loss=2.0247 train=31.3% test=32.0% cv=0.224 | best=frog=51% worst=bird=19% | 5s
87
+ Ep 13/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 28.87it/s, loss=2.0358 acc=31.7% cv=0.228]
88
+ ep 13 | loss=2.0138 train=31.7% test=32.2% cv=0.227 | best=frog=43% worst=bird=15% | 6s
89
+ Ep 14/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 26.30it/s, loss=2.0332 acc=32.1% cv=0.230]
90
+ ep 14 | loss=2.0080 train=32.1% test=33.1% cv=0.229 | best=frog=50% worst=cat=14% | 5s
91
+ Ep 15/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 27.30it/s, loss=2.0096 acc=32.5% cv=0.232]
92
+ ep 15 | loss=2.0006 train=32.5% test=33.1% cv=0.231 | best=frog=58% worst=bird=15% | 5s
93
+ Embed sim: avg=0.058 min=-0.664 max=0.659
94
+
95
+ class acc
96
+ ----------------------
97
+ airplane 35.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
98
+ automobile 40.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
99
+ bird 15.1% β–ˆβ–ˆβ–ˆ
100
+ cat 17.8% β–ˆβ–ˆβ–ˆ
101
+ deer 24.1% β–ˆβ–ˆβ–ˆβ–ˆ
102
+ dog 39.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
103
+ frog 58.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
104
+ horse 30.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
105
+ ship 41.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
106
+ truck 28.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
107
+
108
+ Ep 16/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 29.29it/s, loss=2.0175 acc=32.8% cv=0.234]
109
+ ep 16 | loss=1.9945 train=32.8% test=33.2% cv=0.233 | best=frog=54% worst=bird=7% | 5s
110
+ Ep 17/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 27.92it/s, loss=1.9686 acc=33.0% cv=0.236]
111
+ ep 17 | loss=1.9894 train=33.0% test=33.6% cv=0.235 | best=frog=57% worst=cat=15% | 5s
112
+ Ep 18/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 27.42it/s, loss=1.9896 acc=33.5% cv=0.238]
113
+ ep 18 | loss=1.9839 train=33.5% test=34.1% cv=0.237 | best=frog=52% worst=cat=17% | 6s
114
+ Ep 19/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 31.67it/s, loss=1.9370 acc=33.7% cv=0.239]
115
+ ep 19 | loss=1.9786 train=33.7% test=33.9% cv=0.238 | best=frog=59% worst=bird=15% | 5s
116
+ Ep 20/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 28.38it/s, loss=1.9985 acc=33.8% cv=0.241]
117
+ ep 20 | loss=1.9744 train=33.8% test=34.2% cv=0.240 | best=frog=54% worst=cat=17% | 5s
118
+ Embed sim: avg=0.068 min=-0.671 max=0.679
119
+
120
+ class acc
121
+ ----------------------
122
+ airplane 40.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
123
+ automobile 41.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
124
+ bird 17.7% β–ˆβ–ˆβ–ˆ
125
+ cat 16.7% β–ˆβ–ˆβ–ˆ
126
+ deer 23.5% β–ˆβ–ˆβ–ˆβ–ˆ
127
+ dog 34.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
128
+ frog 54.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
129
+ horse 42.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
130
+ ship 29.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
131
+ truck 40.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
132
+
133
+ Ep 21/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 31.32it/s, loss=1.9641 acc=34.1% cv=0.242]
134
+ ep 21 | loss=1.9700 train=34.1% test=34.3% cv=0.241 | best=frog=53% worst=cat=16% | 5s
135
+ Ep 22/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 29.55it/s, loss=1.8922 acc=34.2% cv=0.243]
136
+ ep 22 | loss=1.9681 train=34.2% test=34.8% cv=0.242 | best=frog=56% worst=cat=16% | 5s
137
+ Ep 23/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 32.33it/s, loss=2.0091 acc=34.2% cv=0.243]
138
+ ep 23 | loss=1.9641 train=34.2% test=34.3% cv=0.243 | best=frog=58% worst=cat=14% | 5s
139
+ Ep 24/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 30.27it/s, loss=1.9708 acc=34.4% cv=0.244]
140
+ ep 24 | loss=1.9628 train=34.4% test=34.5% cv=0.244 | best=frog=54% worst=cat=14% | 5s
141
+ Ep 25/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 29.74it/s, loss=1.9581 acc=34.4% cv=0.245]
142
+ ep 25 | loss=1.9616 train=34.4% test=34.9% cv=0.244 | best=frog=52% worst=cat=14% | 5s
143
+ Embed sim: avg=0.073 min=-0.673 max=0.683
144
+
145
+ class acc
146
+ ----------------------
147
+ airplane 40.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
148
+ automobile 39.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
149
+ bird 19.2% β–ˆβ–ˆβ–ˆ
150
+ cat 14.1% β–ˆβ–ˆ
151
+ deer 27.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
152
+ dog 34.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
153
+ frog 52.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
154
+ horse 36.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
155
+ ship 43.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
156
+ truck 41.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
157
+
158
+ Ep 26/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 28.75it/s, loss=2.0172 acc=34.4% cv=0.245]
159
+ ep 26 | loss=1.9606 train=34.4% test=34.8% cv=0.245 | best=frog=53% worst=cat=16% | 6s
160
+ Ep 27/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆοΏ½οΏ½οΏ½β–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 29.49it/s, loss=1.9517 acc=34.5% cv=0.245]
161
+ ep 27 | loss=1.9588 train=34.5% test=34.8% cv=0.245 | best=frog=51% worst=cat=15% | 5s
162
+ Ep 28/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 26.76it/s, loss=1.9661 acc=34.5% cv=0.245]
163
+ ep 28 | loss=1.9587 train=34.5% test=34.8% cv=0.245 | best=frog=53% worst=cat=15% | 5s
164
+ Ep 29/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 29.48it/s, loss=1.9780 acc=34.5% cv=0.245]
165
+ ep 29 | loss=1.9582 train=34.5% test=34.7% cv=0.245 | best=frog=53% worst=cat=15% | 5s
166
+ Ep 30/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 31.79it/s, loss=1.9844 acc=34.5% cv=0.246]
167
+ ep 30 | loss=1.9577 train=34.5% test=34.8% cv=0.246 | best=frog=53% worst=cat=15% | 5s
168
+ Embed sim: avg=0.074 min=-0.673 max=0.684
169
+
170
+ class acc
171
+ ----------------------
172
+ airplane 39.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
173
+ automobile 39.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
174
+ bird 18.7% β–ˆβ–ˆβ–ˆ
175
+ cat 15.3% β–ˆβ–ˆβ–ˆ
176
+ deer 26.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
177
+ dog 35.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
178
+ frog 53.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
179
+ horse 38.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
180
+ ship 40.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
181
+ truck 41.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
182
+
183
+
184
+ ======================================================================
185
+ PATCHWORK + EMBEDDINGS COMPLETE
186
+ Best: 34.9%
187
+ Params: 529,642
188
+ Final CV: 0.2455 (target: 0.2915)
189
+ Chance: 10.0%
190
+ ======================================================================