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Create revamped_chalkboard_baseline_output.txt

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v41_freckles_256/revamped_chalkboard_baseline_output.txt ADDED
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+ Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured.
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+ 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.
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+
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+ ======================================================================
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+ OMEGA PATCHWORK v2 β€” Minimal Linear Readout
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+ ======================================================================
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+ Local cache found.
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+ Patches: 64x64 = 4096
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+ Condense: S(4) -> features(15) [zero params]
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+ Sphere norm: ONCE at boundary [zero params]
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+ Grid pool: 64x64 -> 8x8 regions [zero params]
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+ Pool dim: 960 -> 256 -> 10
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+ Params: 248,586
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+ Batch: 512, lr=0.0003, epochs=30
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+ ======================================================================
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+ 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 [00:02<00:00, 44.63it/s, loss=2.3040 acc=10.3%]
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+ ep 1 | loss=2.3040 train=10.3% test=10.0% | best=frog=100% worst=airplane=0% | 4s
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+
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+ class acc
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+ ----------------------
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+ airplane 0.0%
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+ automobile 0.0%
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+ bird 0.0%
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+ cat 0.0%
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+ deer 0.0%
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+ dog 0.0%
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+ frog 100.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
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+ horse 0.0%
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+ ship 0.0%
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+ truck 0.0%
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+
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+ 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 [00:02<00:00, 39.10it/s, loss=2.2990 acc=10.6%]
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+ ep 2 | loss=2.3024 train=10.6% test=10.0% | best=dog=100% worst=airplane=0% | 4s
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+ 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 [00:01<00:00, 50.70it/s, loss=2.2947 acc=10.9%]
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+ ep 3 | loss=2.3000 train=10.9% test=13.8% | best=cat=79% worst=airplane=0% | 4s
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+ 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 [00:02<00:00, 41.78it/s, loss=2.3037 acc=12.4%]
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+ ep 4 | loss=2.2944 train=12.4% test=14.0% | best=automobile=83% worst=bird=0% | 4s
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+ 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 [00:02<00:00, 48.20it/s, loss=2.2845 acc=12.4%]
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+ ep 5 | loss=2.2873 train=12.4% test=15.4% | best=airplane=77% worst=automobile=0% | 3s
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+
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+ class acc
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+ ----------------------
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+ airplane 77.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
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+ automobile 0.0%
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+ bird 0.0%
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+ cat 0.0%
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+ deer 36.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
48
+ dog 39.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
49
+ frog 0.0%
50
+ horse 1.0%
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+ ship 0.4%
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+ truck 0.3%
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+
54
+ 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 [00:01<00:00, 50.19it/s, loss=2.2704 acc=14.5%]
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+ ep 6 | loss=2.2767 train=14.5% test=14.6% | best=deer=87% worst=automobile=0% | 4s
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+ 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 [00:01<00:00, 50.57it/s, loss=2.2620 acc=15.1%]
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+ ep 7 | loss=2.2664 train=15.1% test=13.2% | best=bird=67% worst=automobile=0% | 3s
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+ 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 [00:01<00:00, 50.50it/s, loss=2.2456 acc=15.2%]
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+ ep 8 | loss=2.2582 train=15.2% test=15.9% | best=deer=70% worst=airplane=0% | 3s
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+ 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 [00:01<00:00, 51.58it/s, loss=2.2409 acc=16.3%]
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+ ep 9 | loss=2.2480 train=16.3% test=16.1% | best=deer=80% worst=airplane=0% | 3s
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+ 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 [00:02<00:00, 45.69it/s, loss=2.2429 acc=15.9%]
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+ ep 10 | loss=2.2413 train=15.9% test=17.6% | best=airplane=51% worst=cat=0% | 4s
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+
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+ class acc
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+ ----------------------
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+ airplane 50.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
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+ automobile 44.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
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+ bird 40.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
70
+ cat 0.0%
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+ deer 2.4%
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+ dog 0.0%
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+ frog 9.0% β–ˆ
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+ horse 3.4%
75
+ ship 16.2% β–ˆβ–ˆβ–ˆ
76
+ truck 8.5% β–ˆ
77
+
78
+ 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 [00:02<00:00, 45.01it/s, loss=2.2319 acc=16.4%]
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+ ep 11 | loss=2.2349 train=16.4% test=16.7% | best=deer=69% worst=bird=0% | 4s
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+ 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 [00:02<00:00, 44.52it/s, loss=2.2193 acc=17.1%]
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+ ep 12 | loss=2.2292 train=17.1% test=18.6% | best=automobile=56% worst=airplane=0% | 4s
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+ 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 [00:02<00:00, 45.56it/s, loss=2.2319 acc=17.8%]
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+ ep 13 | loss=2.2227 train=17.8% test=15.2% | best=automobile=87% worst=airplane=0% | 4s
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+ 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 [00:01<00:00, 50.19it/s, loss=2.2046 acc=17.5%]
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+ ep 14 | loss=2.2201 train=17.5% test=17.3% | best=deer=79% worst=airplane=0% | 4s
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+ 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 [00:02<00:00, 43.88it/s, loss=2.2028 acc=18.3%]
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+ ep 15 | loss=2.2164 train=18.3% test=20.2% | best=deer=49% worst=airplane=0% | 4s
88
+
89
+ class acc
90
+ ----------------------
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+ airplane 0.0%
92
+ automobile 18.0% β–ˆβ–ˆβ–ˆ
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+ bird 0.0%
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+ cat 38.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
95
+ deer 49.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
96
+ dog 1.7%
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+ frog 32.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
98
+ horse 0.4%
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+ ship 37.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
100
+ truck 24.2% β–ˆβ–ˆβ–ˆβ–ˆ
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+
102
+ 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 [00:02<00:00, 42.91it/s, loss=2.2009 acc=18.5%]
103
+ ep 16 | loss=2.2121 train=18.5% test=18.7% | best=automobile=85% worst=dog=0% | 4s
104
+ 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 [00:01<00:00, 50.72it/s, loss=2.2333 acc=18.8%]
105
+ ep 17 | loss=2.2099 train=18.8% test=19.5% | best=deer=71% worst=airplane=0% | 3s
106
+ 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 [00:02<00:00, 42.53it/s, loss=2.1917 acc=19.2%]
107
+ ep 18 | loss=2.2070 train=19.2% test=20.5% | best=deer=62% worst=automobile=0% | 4s
108
+ 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 [00:01<00:00, 49.72it/s, loss=2.1893 acc=19.0%]
109
+ ep 19 | loss=2.2062 train=19.0% test=20.8% | best=truck=54% worst=dog=1% | 4s
110
+ 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 [00:02<00:00, 38.06it/s, loss=2.1917 acc=19.9%]
111
+ ep 20 | loss=2.2021 train=19.9% test=21.1% | best=automobile=71% worst=dog=0% | 4s
112
+
113
+ class acc
114
+ ----------------------
115
+ airplane 41.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
116
+ automobile 71.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
117
+ bird 14.3% β–ˆβ–ˆ
118
+ cat 6.5% β–ˆ
119
+ deer 36.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
120
+ dog 0.1%
121
+ frog 18.2% β–ˆβ–ˆβ–ˆ
122
+ horse 20.4% β–ˆβ–ˆβ–ˆβ–ˆ
123
+ ship 1.0%
124
+ truck 0.3%
125
+
126
+ 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 [00:02<00:00, 39.68it/s, loss=2.1992 acc=20.1%]
127
+ ep 21 | loss=2.2006 train=20.1% test=20.2% | best=ship=66% worst=dog=0% | 4s
128
+ 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 [00:01<00:00, 50.58it/s, loss=2.2247 acc=20.5%]
129
+ ep 22 | loss=2.1989 train=20.5% test=22.5% | best=truck=49% worst=airplane=0% | 3s
130
+ 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 [00:02<00:00, 42.75it/s, loss=2.2038 acc=20.9%]
131
+ ep 23 | loss=2.1979 train=20.9% test=20.4% | best=deer=69% worst=bird=0% | 4s
132
+ 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 [00:02<00:00, 40.92it/s, loss=2.2217 acc=20.9%]
133
+ ep 24 | loss=2.1974 train=20.9% test=20.8% | best=deer=71% worst=cat=0% | 4s
134
+ 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 [00:01<00:00, 48.79it/s, loss=2.1902 acc=21.1%]
135
+ ep 25 | loss=2.1960 train=21.1% test=20.7% | best=ship=68% worst=airplane=0% | 4s
136
+
137
+ class acc
138
+ ----------------------
139
+ airplane 0.0%
140
+ automobile 27.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
141
+ bird 3.0%
142
+ cat 0.8%
143
+ deer 46.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
144
+ dog 20.8% β–ˆβ–ˆβ–ˆβ–ˆ
145
+ frog 28.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
146
+ horse 8.6% β–ˆ
147
+ ship 67.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
148
+ truck 2.9%
149
+
150
+ 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 [00:02<00:00, 42.33it/s, loss=2.1866 acc=21.2%]
151
+ ep 26 | loss=2.1954 train=21.2% test=22.5% | best=deer=52% worst=bird=1% | 4s
152
+ Ep 27/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:02<00:00, 38.87it/s, loss=2.1947 acc=22.2%]
153
+ ep 27 | loss=2.1950 train=22.2% test=23.2% | best=deer=58% worst=cat=2% | 4s
154
+ 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 [00:02<00:00, 39.42it/s, loss=2.1937 acc=22.3%]
155
+ ep 28 | loss=2.1945 train=22.3% test=22.7% | best=deer=56% worst=dog=2% | 4s
156
+ 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 [00:02<00:00, 43.95it/s, loss=2.1976 acc=22.3%]
157
+ ep 29 | loss=2.1944 train=22.3% test=23.0% | best=deer=56% worst=bird=3% | 4s
158
+ 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 [00:01<00:00, 49.47it/s, loss=2.2006 acc=22.6%]
159
+ ep 30 | loss=2.1944 train=22.6% test=23.1% | best=deer=57% worst=dog=3% | 4s
160
+
161
+ class acc
162
+ ----------------------
163
+ airplane 26.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
164
+ automobile 35.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
165
+ bird 3.2%
166
+ cat 8.4% β–ˆ
167
+ deer 57.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
168
+ dog 2.9%
169
+ frog 24.4% β–ˆβ–ˆοΏ½οΏ½β–ˆ
170
+ horse 19.5% β–ˆβ–ˆβ–ˆ
171
+ ship 27.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
172
+ truck 25.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
173
+
174
+
175
+ ======================================================================
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+ PATCHWORK v2 COMPLETE
177
+ Best: 23.2%
178
+ Params: 248,586
179
+ Chance: 10.0%
180
+ ======================================================================