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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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OMEGA PROCESSOR — Noise Classification Prototype
======================================================================
Freckles: 2,557,539 params (frozen)
Feature dim: 64 per patch
Patches: 16×16 = 256
Classifier: 837,008 params (trainable)
Architecture: d_model=128, heads=4, layers=4
Batch: 128, lr=0.0003, epochs=20
======================================================================
Ep 1/20: 100%|████████████████████| 1250/1250 [00:32<00:00, 38.88it/s, loss=0.2265 acc=68.8%]
ep 1 | loss=0.8137 train=68.8% val=83.2% | best=uniform=100% worst=brown=0% | 34s
type acc
----------------------
gaussian 35.1% ███████
uniform 100.0% ████████████████████
uniform_sc 99.9% ███████████████████
poisson 76.6% ███████████████
pink 100.0% ████████████████████
brown 0.0%
salt_pepper 100.0% ████████████████████
sparse 100.0% ████████████████████
block 94.7% ██████████████████
gradient 100.0% ████████████████████
checker 100.0% ████████████████████
mixed 31.4% ██████
structural 100.0% ████████████████████
cauchy 100.0% ████████████████████
exponential 94.1% ██████████████████
laplace 99.8% ███████████████████
Ep 2/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.39it/s, loss=0.3427 acc=84.1%]
ep 2 | loss=0.3447 train=84.1% val=90.3% | best=salt_pepper=100% worst=pink=1% | 34s
Ep 3/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.45it/s, loss=0.7114 acc=86.0%]
ep 3 | loss=0.3002 train=86.0% val=80.8% | best=uniform=100% worst=pink=0% | 34s
Ep 4/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.44it/s, loss=0.1888 acc=86.7%]
ep 4 | loss=0.2876 train=86.7% val=89.9% | best=pink=100% worst=brown=0% | 34s
Ep 5/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.54it/s, loss=0.4770 acc=88.7%]
ep 5 | loss=0.2326 train=88.7% val=90.0% | best=uniform_sc=100% worst=pink=1% | 34s
type acc
----------------------
gaussian 89.9% █████████████████
uniform 76.2% ███████████████
uniform_sc 100.0% ████████████████████
poisson 82.9% ████████████████
pink 0.7%
brown 99.3% ███████████████████
salt_pepper 99.6% ███████████████████
sparse 100.0% ████████████████████
block 100.0% ████████████████████
gradient 100.0% ████████████████████
checker 100.0% ████████████████████
mixed 92.0% ██████████████████
structural 100.0% ████████████████████
cauchy 100.0% ████████████████████
exponential 99.9% ███████████████████
laplace 100.0% ████████████████████
Ep 6/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.40it/s, loss=0.2170 acc=88.8%]
ep 6 | loss=0.2268 train=88.8% val=88.3% | best=uniform_sc=100% worst=brown=0% | 34s
Ep 7/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.44it/s, loss=0.2996 acc=89.5%]
ep 7 | loss=0.2065 train=89.5% val=87.7% | best=sparse=100% worst=pink=0% | 34s
Ep 8/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.41it/s, loss=0.5350 acc=90.0%]
ep 8 | loss=0.1977 train=90.0% val=81.6% | best=brown=100% worst=pink=0% | 34s
Ep 9/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.45it/s, loss=0.2076 acc=90.6%]
ep 9 | loss=0.1760 train=90.6% val=91.8% | best=salt_pepper=100% worst=brown=1% | 34s
Ep 10/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.44it/s, loss=0.2252 acc=91.0%]
ep 10 | loss=0.1658 train=91.0% val=91.6% | best=uniform_sc=100% worst=pink=12% | 34s
type acc
----------------------
gaussian 98.9% ███████████████████
uniform 99.8% ███████████████████
uniform_sc 100.0% ████████████████████
poisson 85.7% █████████████████
pink 12.3% ██
brown 87.3% █████████████████
salt_pepper 98.8% ███████████████████
sparse 100.0% ████████████████████
block 100.0% ████████████████████
gradient 100.0% ████████████████████
checker 100.0% ████████████████████
mixed 88.5% █████████████████
structural 100.0% ████████████████████
cauchy 100.0% ████████████████████
exponential 100.0% ████████████████████
laplace 94.9% ██████████████████
Ep 11/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.50it/s, loss=0.1168 acc=91.4%]
ep 11 | loss=0.1526 train=91.4% val=92.2% | best=gaussian=100% worst=pink=0% | 34s
Ep 12/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.47it/s, loss=0.1941 acc=91.6%]
ep 12 | loss=0.1458 train=91.6% val=90.8% | best=uniform_sc=100% worst=brown=0% | 34s
Ep 13/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.46it/s, loss=0.1693 acc=91.8%]
ep 13 | loss=0.1386 train=91.8% val=92.4% | best=uniform_sc=100% worst=pink=0% | 34s
Ep 14/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.42it/s, loss=0.1358 acc=92.1%]
ep 14 | loss=0.1326 train=92.1% val=92.6% | best=gaussian=100% worst=brown=0% | 34s
Ep 15/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.33it/s, loss=0.1334 acc=92.3%]
ep 15 | loss=0.1296 train=92.3% val=92.5% | best=salt_pepper=100% worst=brown=1% | 34s
type acc
----------------------
gaussian 99.8% ███████████████████
uniform 99.9% ███████████████████
uniform_sc 99.9% ███████████████████
poisson 91.0% ██████████████████
pink 99.1% ███████████████████
brown 0.9%
salt_pepper 100.0% ████████████████████
sparse 100.0% ████████████████████
block 100.0% ████████████████████
gradient 100.0% ████████████████████
checker 100.0% ████████████████████
mixed 89.6% █████████████████
structural 100.0% ████████████████████
cauchy 100.0% ████████████████████
exponential 99.6% ███████████████████
laplace 100.0% ████████████████████
Ep 16/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.37it/s, loss=0.1978 acc=92.5%]
ep 16 | loss=0.1211 train=92.5% val=92.5% | best=uniform_sc=100% worst=pink=17% | 34s
Ep 17/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.48it/s, loss=0.1129 acc=92.6%]
ep 17 | loss=0.1194 train=92.6% val=92.7% | best=brown=100% worst=pink=0% | 34s
Ep 18/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.27it/s, loss=0.0775 acc=92.7%]
ep 18 | loss=0.1165 train=92.7% val=92.7% | best=uniform_sc=100% worst=pink=20% | 34s
Ep 19/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.42it/s, loss=0.0913 acc=92.7%]
ep 19 | loss=0.1147 train=92.7% val=92.8% | best=gaussian=100% worst=pink=24% | 34s
Ep 20/20: 100%|████████████████████| 1250/1250 [00:31<00:00, 39.42it/s, loss=0.1398 acc=92.9%]
ep 20 | loss=0.1128 train=92.9% val=92.8% | best=gaussian=100% worst=pink=33% | 34s
type acc
----------------------
gaussian 100.0% ████████████████████
uniform 98.6% ███████████████████
uniform_sc 99.9% ███████████████████
poisson 94.3% ██████████████████
pink 33.4% ██████
brown 64.3% ████████████
salt_pepper 100.0% ████████████████████
sparse 100.0% ████████████████████
block 100.0% ████████████████████
gradient 100.0% ████████████████████
checker 100.0% ████████████████████
mixed 94.5% ██████████████████
structural 100.0% ████████████████████
cauchy 100.0% ████████████████████
exponential 100.0% ████████████████████
laplace 100.0% ████████████████████
======================================================================
TRAINING COMPLETE
Best val accuracy: 92.8%
Classifier params: 837,008
Random chance: 6.2%
====================================================================== |