| Loading Fresnel (v50_fresnel_64) + CIFAR-10... |
| v50_fresnel_64/checkpoints/best.pt:β100% |
| β23.6M/23.6Mβ[00:01<00:00,β43.7MB/s] |
| Patch size: 4, Grid: 16x16, D=4 |
| Params: 1,964,643 |
|
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| Fresnel S-value profile on CIFAR-10 sample: |
| S mean: [5.003195285797119, 3.4307751655578613, 2.7023839950561523, 2.140519142150879] |
| S std: [0.12345327436923981, 0.13213300704956055, 0.161136656999588, 0.1278010755777359] |
| MSE: 0.000000 |
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| Precomputing train set... |
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| Train: 50000 images |
| Precomputing test set... |
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| Test: 100%|ββββββββββ| 79/79 [00:01<00:00, 45.59it/s] Test: 10000 images |
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| Fresnel signal profile: |
| S : mean=3.3209 std=1.0780 min=1.8129 max=5.3177 |
| friction : mean=43.0709 std=6270.8301 min=4.6188 max=25124204.0000 |
| settle : mean=1.6777 std=0.7668 min=0.0000 max=4.0000 |
| error : mean=0.0000 std=0.0000 min=0.0000 max=0.0002 |
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| ====================================================================== |
| FRESNEL β Spatial Conv Readout β All Conduit Configurations |
| ====================================================================== |
|
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| ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
| Training: Eigenvalues (S) only β 4ch |
| ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
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| ep 5 train=32.1% test=34.8% |
| ep 10 train=37.0% test=38.3% |
| ep 15 train=39.9% test=40.7% |
| ep 20 train=41.6% test=42.4% |
| ep 25 train=42.9% test=43.0% |
| ep 30 train=43.3% test=43.5% |
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| Eigenvalues (S) only β 4ch |
| Channels: 4, Params: 232,714, Time: 29s |
| Best test: 43.6% |
|
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| Class Acc |
| ---------------------- |
| airplane 46.1% βββββββββ |
| auto 56.8% βββββββββββ |
| bird 32.4% ββββββ |
| cat 23.4% ββββ |
| deer 29.6% βββββ |
| dog 36.6% βββββββ |
| frog 52.7% ββββββββββ |
| horse 44.7% ββββββββ |
| ship 62.0% ββββββββββββ |
| truck 51.1% ββββββββββ |
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| ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
| Training: Friction only β 4ch |
| ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
| ep 5 train=23.4% test=24.0% |
| ep 10 train=30.1% test=30.4% |
| ep 15 train=35.4% test=36.1% |
| ep 20 train=38.8% test=38.5% |
| ep 25 train=40.5% test=40.5% |
| ep 30 train=41.1% test=41.1% |
|
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| Friction only β 4ch |
| Channels: 4, Params: 232,714, Time: 30s |
| Best test: 41.2% |
|
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| Class Acc |
| ---------------------- |
| airplane 44.6% ββββββββ |
| auto 56.5% βββββββββββ |
| bird 25.9% βββββ |
| cat 22.2% ββββ |
| deer 35.4% βββββββ |
| dog 37.6% βββββββ |
| frog 50.0% ββββββββββ |
| horse 43.7% ββββββββ |
| ship 52.7% ββββββββββ |
| truck 42.4% ββββββββ |
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| ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
| Training: Release error only β 1ch |
| ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
| ep 5 train=9.9% test=10.0% |
| ep 10 train=9.9% test=10.0% |
| ep 15 train=9.9% test=10.0% |
| ep 20 train=9.9% test=10.0% |
| ep 25 train=9.9% test=10.0% |
| ep 30 train=10.0% test=10.0% |
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| Release error only β 1ch |
| Channels: 1, Params: 230,986, Time: 29s |
| Best test: 10.0% |
|
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| Class Acc |
| ---------------------- |
| airplane 0.0% |
| auto 0.0% |
| bird 0.0% |
| cat 0.0% |
| deer 100.0% ββββββββββββββββββββ |
| dog 0.0% |
| frog 0.0% |
| horse 0.0% |
| ship 0.0% |
| truck 0.0% |
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|
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| ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
| Training: Settle only β 4ch |
| ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
| ep 5 train=31.4% test=31.7% |
| ep 10 train=35.3% test=34.3% |
| ep 15 train=37.6% test=36.4% |
| ep 20 train=39.0% test=38.4% |
| ep 25 train=39.9% test=39.0% |
| ep 30 train=40.4% test=39.2% |
|
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| Settle only β 4ch |
| Channels: 4, Params: 232,714, Time: 28s |
| Best test: 39.2% |
|
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| Class Acc |
| ---------------------- |
| airplane 32.4% ββββββ |
| auto 45.3% βββββββββ |
| bird 30.5% ββββββ |
| cat 18.2% βββ |
| deer 30.9% ββββββ |
| dog 37.0% βββββββ |
| frog 53.7% ββββββββββ |
| horse 43.1% ββββββββ |
| ship 53.8% ββββββββββ |
| truck 46.7% βββββββββ |
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|
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| ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
| Training: S + Friction β 8ch |
| ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
| ep 5 train=28.0% test=29.9% |
| ep 10 train=34.8% test=35.6% |
| ep 15 train=39.8% test=40.2% |
| ep 20 train=42.8% test=42.5% |
| ep 25 train=44.9% test=44.2% |
| ep 30 train=45.6% test=44.6% |
|
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| S + Friction β 8ch |
| Channels: 8, Params: 235,018, Time: 31s |
| Best test: 44.7% |
|
|
| Class Acc |
| ---------------------- |
| airplane 47.0% βββββββββ |
| auto 56.4% βββββββββββ |
| bird 27.8% βββββ |
| cat 23.3% ββββ |
| deer 37.9% βββββββ |
| dog 40.4% ββββββββ |
| frog 55.9% βββββββββββ |
| horse 52.4% ββββββββββ |
| ship 56.7% βββββββββββ |
| truck 48.5% βββββββββ |
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|
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| ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
| Training: S + Release error β 5ch |
| ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
| ep 5 train=31.2% test=33.2% |
| ep 10 train=37.3% test=38.5% |
| ep 15 train=40.0% test=40.8% |
| ep 20 train=41.9% test=42.2% |
| ep 25 train=43.1% test=43.1% |
| ep 30 train=43.4% test=43.4% |
|
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| S + Release error β 5ch |
| Channels: 5, Params: 233,290, Time: 30s |
| Best test: 43.5% |
|
|
| Class Acc |
| ---------------------- |
| airplane 47.1% βββββββββ |
| auto 56.4% βββββββββββ |
| bird 31.6% ββββββ |
| cat 22.4% ββββ |
| deer 30.0% ββββββ |
| dog 37.4% βββββββ |
| frog 52.9% ββββββββββ |
| horse 44.3% ββββββββ |
| ship 61.3% ββββββββββββ |
| truck 50.3% ββββββββββ |
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|
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| ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
| Training: S + Friction + Release β 9ch |
| ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
| ep 5 train=28.7% test=29.8% |
| ep 10 train=36.2% test=38.0% |
| ep 15 train=40.9% test=41.9% |
| ep 20 train=43.8% test=43.7% |
| ep 25 train=45.8% test=44.9% |
| ep 30 train=46.4% test=45.1% |
|
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| S + Friction + Release β 9ch |
| Channels: 9, Params: 235,594, Time: 32s |
| Best test: 45.1% |
|
|
| Class Acc |
| ---------------------- |
| airplane 50.3% ββββββββββ |
| auto 54.0% ββββββββββ |
| bird 31.8% ββββββ |
| cat 23.2% ββββ |
| deer 36.7% βββββββ |
| dog 39.2% βββββββ |
| frog 58.3% βββββββββββ |
| horse 51.4% ββββββββββ |
| ship 57.3% βββββββββββ |
| truck 49.3% βββββββββ |
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|
|
| ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
| Training: FULL CONDUIT β 13ch |
| ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
| ep 5 train=27.1% test=28.7% |
| ep 10 train=34.3% test=35.6% |
| ep 15 train=39.1% test=39.9% |
| ep 20 train=41.9% test=42.2% |
| ep 25 train=43.6% test=43.5% |
| ep 30 train=44.3% test=43.9% |
|
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| FULL CONDUIT β 13ch |
| Channels: 13, Params: 237,898, Time: 32s |
| Best test: 44.0% |
|
|
| Class Acc |
| ---------------------- |
| airplane 49.1% βββββββββ |
| auto 56.1% βββββββββββ |
| bird 28.4% βββββ |
| cat 22.1% ββββ |
| deer 36.5% βββββββ |
| dog 39.2% βββββββ |
| frog 50.2% ββββββββββ |
| horse 49.6% βββββββββ |
| ship 57.6% βββββββββββ |
| truck 49.7% βββββββββ |
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|
|
| ====================================================================== |
| SCOREBOARD β Fresnel (v50_fresnel_64) Spatial Conv Readout |
| ====================================================================== |
|
|
| Configuration Ch Params Test Acc |
| -------------------------------------------------------------- |
| Chance β β 10.0% |
| Release error only β 1ch 1 230,986 10.0% |
| Settle only β 4ch 4 232,714 39.2% |
| Friction only β 4ch 4 232,714 41.2% |
| S + Release error β 5ch 5 233,290 43.5% |
| Eigenvalues (S) only β 4ch 4 232,714 43.6% |
| FULL CONDUIT β 13ch 13 237,898 44.0% |
| S + Friction β 8ch 8 235,018 44.7% |
| S + Friction + Release β 9ch 9 235,594 45.1% |
|
|
| --- FRECKLES REFERENCE --- |
| Scatter + conv (Freckles S) 4 2.9M 70.5% |
|
|
| Fresnel S-only: 43.6% |
| Best conduit: 45.1% (S + Friction + Release β 9ch) |
| Conduit lift: +1.6pp |
|
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| KEY QUESTION: Does Fresnel's clean training produce |
| conduit signals that Freckles' noise training could not? |