| Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured. |
| 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. |
|
|
| ====================================================================== |
| OMEGA PROCESSOR — CIFAR-10 (Freckles features) |
| ====================================================================== |
| Freckles: 2,557,539 params (frozen) |
| Feature dim: 64 |
| Classifier: 836,234 params |
| Architecture: d_model=128, heads=4, layers=4 |
| CIFAR-10: 50K train, 10K test, 64×64 |
| Batch: 128, lr=0.0003, epochs=30 |
| ====================================================================== |
| 100%|██████████| 170M/170M [00:01<00:00, 91.1MB/s] |
| Ep 1/30: 100%|████████████████████| 390/390 [00:10<00:00, 38.21it/s, loss=1.8147 acc=23.6%] |
| ep 1 | loss=2.0322 train=23.6% test=33.4% | best=truck=70% worst=bird=1% | 12s |
|
|
| class acc |
| ---------------------- |
| airplane 44.1% ████████ |
| automobile 30.2% ██████ |
| bird 1.5% |
| cat 22.7% ████ |
| deer 10.3% ██ |
| dog 34.8% ██████ |
| frog 54.1% ██████████ |
| horse 36.4% ███████ |
| ship 30.6% ██████ |
| truck 69.7% █████████████ |
|
|
| Ep 2/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.18it/s, loss=1.6721 acc=38.5%] |
| ep 2 | loss=1.6980 train=38.5% test=44.8% | best=automobile=74% worst=cat=16% | 11s |
| Ep 3/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.22it/s, loss=1.4097 acc=45.5%] |
| ep 3 | loss=1.5104 train=45.5% test=49.5% | best=frog=70% worst=cat=25% | 11s |
| Ep 4/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.03it/s, loss=1.4453 acc=50.1%] |
| ep 4 | loss=1.3840 train=50.1% test=54.4% | best=ship=81% worst=cat=25% | 11s |
| Ep 5/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.01it/s, loss=1.0432 acc=54.3%] |
| ep 5 | loss=1.2717 train=54.3% test=56.5% | best=ship=80% worst=bird=37% | 11s |
|
|
| class acc |
| ---------------------- |
| airplane 67.3% █████████████ |
| automobile 72.4% ██████████████ |
| bird 36.7% ███████ |
| cat 40.3% ████████ |
| deer 57.8% ███████████ |
| dog 39.3% ███████ |
| frog 72.9% ██████████████ |
| horse 59.3% ███████████ |
| ship 80.0% ████████████████ |
| truck 39.3% ███████ |
|
|
| Ep 6/30: 100%|████████████████████| 390/390 [00:10<00:00, 38.27it/s, loss=1.1928 acc=57.3%] |
| ep 6 | loss=1.1949 train=57.3% test=59.5% | best=ship=81% worst=dog=44% | 11s |
| Ep 7/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.01it/s, loss=1.3602 acc=59.9%] |
| ep 7 | loss=1.1243 train=59.9% test=59.7% | best=truck=78% worst=cat=23% | 11s |
| Ep 8/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.22it/s, loss=1.2255 acc=61.8%] |
| ep 8 | loss=1.0698 train=61.8% test=62.1% | best=truck=74% worst=cat=44% | 11s |
| Ep 9/30: 100%|████████████████████| 390/390 [00:10<00:00, 38.57it/s, loss=1.2281 acc=63.4%] |
| ep 9 | loss=1.0276 train=63.4% test=64.0% | best=automobile=83% worst=cat=35% | 11s |
| Ep 10/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.23it/s, loss=0.9413 acc=64.9%] |
| ep 10 | loss=0.9864 train=64.9% test=65.4% | best=ship=81% worst=bird=46% | 11s |
|
|
| class acc |
| ---------------------- |
| airplane 63.3% ████████████ |
| automobile 76.2% ███████████████ |
| bird 46.0% █████████ |
| cat 51.0% ██████████ |
| deer 60.8% ████████████ |
| dog 51.8% ██████████ |
| frog 73.0% ██████████████ |
| horse 73.2% ██████████████ |
| ship 81.5% ████████████████ |
| truck 77.1% ███████████████ |
|
|
| Ep 11/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.06it/s, loss=0.9747 acc=66.2%] |
| ep 11 | loss=0.9497 train=66.2% test=66.0% | best=truck=81% worst=bird=47% | 11s |
| Ep 12/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.04it/s, loss=0.9341 acc=67.2%] |
| ep 12 | loss=0.9211 train=67.2% test=65.3% | best=airplane=82% worst=cat=36% | 11s |
| Ep 13/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.17it/s, loss=1.0120 acc=68.2%] |
| ep 13 | loss=0.8938 train=68.2% test=67.7% | best=frog=84% worst=cat=44% | 11s |
| Ep 14/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.26it/s, loss=0.8321 acc=69.3%] |
| ep 14 | loss=0.8613 train=69.3% test=68.3% | best=automobile=83% worst=cat=50% | 11s |
| Ep 15/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.07it/s, loss=0.8031 acc=70.3%] |
| ep 15 | loss=0.8360 train=70.3% test=68.7% | best=automobile=81% worst=cat=39% | 11s |
|
|
| class acc |
| ---------------------- |
| airplane 76.6% ███████████████ |
| automobile 81.1% ████████████████ |
| bird 52.9% ██████████ |
| cat 39.1% ███████ |
| deer 67.7% █████████████ |
| dog 60.5% ████████████ |
| frog 76.6% ███████████████ |
| horse 75.8% ███████████████ |
| ship 78.3% ███████████████ |
| truck 78.7% ███████████████ |
|
|
| Ep 16/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.20it/s, loss=1.0140 acc=71.0%] |
| ep 16 | loss=0.8155 train=71.0% test=69.5% | best=frog=86% worst=cat=43% | 11s |
| Ep 17/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.14it/s, loss=0.6555 acc=72.0%] |
| ep 17 | loss=0.7903 train=72.0% test=69.3% | best=automobile=86% worst=cat=43% | 11s |
| Ep 18/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.01it/s, loss=0.6629 acc=72.9%] |
| ep 18 | loss=0.7687 train=72.9% test=70.1% | best=ship=84% worst=cat=53% | 11s |
| Ep 19/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.17it/s, loss=0.6098 acc=73.3%] |
| ep 19 | loss=0.7525 train=73.3% test=70.9% | best=automobile=82% worst=cat=47% | 11s |
| Ep 20/30: 100%|████████████████████| 390/390 [00:10<00:00, 38.60it/s, loss=0.6530 acc=74.3%] |
| ep 20 | loss=0.7280 train=74.3% test=71.1% | best=airplane=85% worst=cat=52% | 11s |
|
|
| class acc |
| ---------------------- |
| airplane 84.9% ████████████████ |
| automobile 82.0% ████████████████ |
| bird 55.6% ███████████ |
| cat 52.3% ██████████ |
| deer 66.9% █████████████ |
| dog 59.3% ███████████ |
| frog 78.5% ███████████████ |
| horse 73.4% ██████████████ |
| ship 79.5% ███████████████ |
| truck 78.3% ███████████████ |
|
|
| Ep 21/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.05it/s, loss=0.7255 acc=74.7%] |
| ep 21 | loss=0.7183 train=74.7% test=70.8% | best=frog=89% worst=cat=52% | 11s |
| Ep 22/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.13it/s, loss=0.7117 acc=75.2%] |
| ep 22 | loss=0.7030 train=75.2% test=71.1% | best=automobile=87% worst=cat=49% | 11s |
| Ep 23/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.06it/s, loss=0.6705 acc=75.5%] |
| ep 23 | loss=0.6897 train=75.5% test=71.0% | best=truck=83% worst=cat=47% | 11s |
| Ep 24/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.19it/s, loss=0.6390 acc=76.0%] |
| ep 24 | loss=0.6786 train=76.0% test=72.0% | best=automobile=82% worst=cat=50% | 11s |
| Ep 25/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.14it/s, loss=0.5925 acc=76.5%] |
| ep 25 | loss=0.6657 train=76.5% test=72.0% | best=automobile=86% worst=cat=52% | 11s |
|
|
| class acc |
| ---------------------- |
| airplane 81.2% ████████████████ |
| automobile 86.2% █████████████████ |
| bird 56.9% ███████████ |
| cat 52.5% ██████████ |
| deer 68.3% █████████████ |
| dog 58.5% ███████████ |
| frog 80.0% ████████████████ |
| horse 76.0% ███████████████ |
| ship 80.9% ████████████████ |
| truck 79.1% ███████████████ |
|
|
| Ep 26/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.24it/s, loss=0.6332 acc=76.5%] |
| ep 26 | loss=0.6614 train=76.5% test=72.1% | best=frog=84% worst=cat=48% | 11s |
| Ep 27/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.14it/s, loss=0.6383 acc=76.9%] |
| ep 27 | loss=0.6535 train=76.9% test=72.2% | best=automobile=86% worst=cat=50% | 11s |
| Ep 28/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.15it/s, loss=0.7896 acc=77.2%] |
| ep 28 | loss=0.6451 train=77.2% test=72.6% | best=automobile=84% worst=cat=50% | 11s |
| Ep 29/30: 100%|████████████████████| 390/390 [00:09<00:00, 39.19it/s, loss=0.6121 acc=77.4%] |
| ep 29 | loss=0.6410 train=77.4% test=72.7% | best=automobile=84% worst=cat=51% | 11s |
| Ep 30/30: 100%|████████████████████| 390/390 [00:10<00:00, 38.99it/s, loss=0.7349 acc=77.5%] |
| ep 30 | loss=0.6390 train=77.5% test=72.7% | best=automobile=84% worst=cat=51% | 11s |
|
|
| class acc |
| ---------------------- |
| airplane 79.0% ███████████████ |
| automobile 83.8% ████████████████ |
| bird 59.8% ███████████ |
| cat 50.9% ██████████ |
| deer 68.4% █████████████ |
| dog 63.1% ████████████ |
| frog 82.0% ████████████████ |
| horse 76.9% ███████████████ |
| ship 82.2% ████████████████ |
| truck 80.6% ████████████████ |
|
|
|
|
| ====================================================================== |
| OMEGA PROCESSOR COMPLETE |
| Best test accuracy: 72.7% |
| Classifier params: 836,234 |
| Random chance: 10.0% |
| ====================================================================== |
|
|
| ====================================================================== |
| BASELINE — CIFAR-10 (Raw patches, no Freckles) |
| ====================================================================== |
| Classifier: 867,050 params |
| Architecture: d_model=128, heads=4, layers=4 |
| CIFAR-10: 50K train, 10K test, 64×64 |
| Batch: 128, lr=0.0003, epochs=30 |
| ====================================================================== |
| Ep 1/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.28it/s, loss=1.6722 acc=32.2%] |
| ep 1 | loss=1.8088 train=32.2% test=42.3% | best=ship=62% worst=deer=18% | 6s |
|
|
| class acc |
| ---------------------- |
| airplane 47.6% █████████ |
| automobile 59.5% ███████████ |
| bird 32.3% ██████ |
| cat 21.7% ████ |
| deer 17.9% ███ |
| dog 32.4% ██████ |
| frog 61.7% ████████████ |
| horse 41.3% ████████ |
| ship 62.4% ████████████ |
| truck 46.5% █████████ |
|
|
| Ep 2/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.53it/s, loss=1.3286 acc=46.4%] |
| ep 2 | loss=1.4489 train=46.4% test=51.9% | best=frog=66% worst=cat=20% | 6s |
| Ep 3/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.29it/s, loss=1.2655 acc=53.2%] |
| ep 3 | loss=1.2781 train=53.2% test=56.3% | best=ship=75% worst=cat=28% | 6s |
| Ep 4/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.42it/s, loss=1.1440 acc=57.9%] |
| ep 4 | loss=1.1618 train=57.9% test=60.5% | best=frog=82% worst=bird=34% | 6s |
| Ep 5/30: 100%|████████████████████| 390/390 [00:06<00:00, 64.95it/s, loss=1.1496 acc=61.4%] |
| ep 5 | loss=1.0723 train=61.4% test=63.2% | best=horse=79% worst=cat=31% | 6s |
|
|
| class acc |
| ---------------------- |
| airplane 69.9% █████████████ |
| automobile 76.8% ███████████████ |
| bird 38.6% ███████ |
| cat 30.7% ██████ |
| deer 56.0% ███████████ |
| dog 62.7% ████████████ |
| frog 72.4% ██████████████ |
| horse 78.7% ███████████████ |
| ship 74.0% ██████████████ |
| truck 72.2% ██████████████ |
|
|
| Ep 6/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.25it/s, loss=0.8846 acc=64.0%] |
| ep 6 | loss=1.0052 train=64.0% test=62.7% | best=frog=89% worst=bird=32% | 6s |
| Ep 7/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.29it/s, loss=0.9618 acc=66.5%] |
| ep 7 | loss=0.9418 train=66.5% test=65.2% | best=truck=87% worst=cat=32% | 6s |
| Ep 8/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.03it/s, loss=0.9562 acc=68.3%] |
| ep 8 | loss=0.8913 train=68.3% test=68.0% | best=ship=87% worst=cat=45% | 6s |
| Ep 9/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.12it/s, loss=0.8684 acc=69.9%] |
| ep 9 | loss=0.8519 train=69.9% test=68.6% | best=truck=85% worst=cat=40% | 6s |
| Ep 10/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.12it/s, loss=0.6724 acc=71.3%] |
| ep 10 | loss=0.8107 train=71.3% test=68.6% | best=ship=84% worst=dog=46% | 6s |
|
|
| class acc |
| ---------------------- |
| airplane 76.5% ███████████████ |
| automobile 64.8% ████████████ |
| bird 53.8% ██████████ |
| cat 54.7% ██████████ |
| deer 72.6% ██████████████ |
| dog 45.9% █████████ |
| frog 78.4% ███████████████ |
| horse 76.2% ███████████████ |
| ship 84.2% ████████████████ |
| truck 78.7% ███████████████ |
|
|
| Ep 11/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.00it/s, loss=0.7053 acc=72.5%] |
| ep 11 | loss=0.7744 train=72.5% test=71.5% | best=automobile=85% worst=cat=47% | 6s |
| Ep 12/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.48it/s, loss=0.7007 acc=73.8%] |
| ep 12 | loss=0.7421 train=73.8% test=71.8% | best=truck=88% worst=cat=50% | 6s |
| Ep 13/30: 100%|████████████████████| 390/390 [00:06<00:00, 64.77it/s, loss=0.6695 acc=74.9%] |
| ep 13 | loss=0.7130 train=74.9% test=72.3% | best=automobile=90% worst=cat=49% | 6s |
| Ep 14/30: 100%|████████████████████| 390/390 [00:06<00:00, 64.57it/s, loss=0.6952 acc=75.6%] |
| ep 14 | loss=0.6917 train=75.6% test=72.6% | best=automobile=90% worst=dog=48% | 6s |
| Ep 15/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.06it/s, loss=0.5546 acc=76.7%] |
| ep 15 | loss=0.6617 train=76.7% test=73.7% | best=automobile=91% worst=dog=60% | 6s |
|
|
| class acc |
| ---------------------- |
| airplane 80.5% ████████████████ |
| automobile 91.3% ██████████████████ |
| bird 68.1% █████████████ |
| cat 60.3% ████████████ |
| deer 66.4% █████████████ |
| dog 60.0% ████████████ |
| frog 79.0% ███████████████ |
| horse 76.0% ███████████████ |
| ship 85.4% █████████████████ |
| truck 70.2% ██████████████ |
|
|
| Ep 16/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.05it/s, loss=0.6078 acc=77.6%] |
| ep 16 | loss=0.6364 train=77.6% test=74.0% | best=automobile=88% worst=cat=55% | 6s |
| Ep 17/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.26it/s, loss=0.7195 acc=78.4%] |
| ep 17 | loss=0.6122 train=78.4% test=74.8% | best=automobile=89% worst=cat=60% | 6s |
| Ep 18/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.46it/s, loss=0.5613 acc=79.2%] |
| ep 18 | loss=0.5941 train=79.2% test=75.1% | best=automobile=90% worst=cat=57% | 6s |
| Ep 19/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.23it/s, loss=0.4989 acc=79.7%] |
| ep 19 | loss=0.5762 train=79.7% test=75.1% | best=automobile=90% worst=cat=60% | 6s |
| Ep 20/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.22it/s, loss=0.6564 acc=80.5%] |
| ep 20 | loss=0.5553 train=80.5% test=75.8% | best=automobile=87% worst=bird=60% | 6s |
|
|
| class acc |
| ---------------------- |
| airplane 81.0% ████████████████ |
| automobile 87.0% █████████████████ |
| bird 59.8% ███████████ |
| cat 62.9% ████████████ |
| deer 71.4% ██████████████ |
| dog 63.7% ████████████ |
| frog 85.0% █████████████████ |
| horse 79.0% ███████████████ |
| ship 85.2% █████████████████ |
| truck 82.6% ████████████████ |
|
|
| Ep 21/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.23it/s, loss=0.5616 acc=81.1%] |
| ep 21 | loss=0.5364 train=81.1% test=75.2% | best=truck=88% worst=cat=53% | 6s |
| Ep 22/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.54it/s, loss=0.4172 acc=81.8%] |
| ep 22 | loss=0.5201 train=81.8% test=76.4% | best=automobile=88% worst=cat=56% | 6s |
| Ep 23/30: 100%|████████████████████| 390/390 [00:06<00:00, 64.75it/s, loss=0.6296 acc=82.2%] |
| ep 23 | loss=0.5099 train=82.2% test=76.2% | best=automobile=88% worst=cat=65% | 6s |
| Ep 24/30: 100%|████████████████████| 390/390 [00:06<00:00, 64.50it/s, loss=0.4983 acc=82.9%] |
| ep 24 | loss=0.4906 train=82.9% test=76.4% | best=ship=87% worst=cat=60% | 6s |
| Ep 25/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.10it/s, loss=0.5062 acc=83.0%] |
| ep 25 | loss=0.4863 train=83.0% test=76.6% | best=automobile=89% worst=cat=56% | 6s |
|
|
| class acc |
| ---------------------- |
| airplane 80.5% ████████████████ |
| automobile 89.4% █████████████████ |
| bird 62.5% ████████████ |
| cat 55.9% ███████████ |
| deer 73.8% ██████████████ |
| dog 71.9% ██████████████ |
| frog 86.9% █████████████████ |
| horse 78.0% ███████████████ |
| ship 83.2% ████████████████ |
| truck 84.0% ████████████████ |
|
|
| Ep 26/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.21it/s, loss=0.4450 acc=83.4%] |
| ep 26 | loss=0.4762 train=83.4% test=77.0% | best=truck=87% worst=cat=58% | 6s |
| Ep 27/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.23it/s, loss=0.5349 acc=83.5%] |
| ep 27 | loss=0.4720 train=83.5% test=77.2% | best=automobile=87% worst=cat=59% | 6s |
| Ep 28/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.20it/s, loss=0.4860 acc=83.8%] |
| ep 28 | loss=0.4634 train=83.8% test=76.9% | best=automobile=87% worst=cat=59% | 6s |
| Ep 29/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.58it/s, loss=0.3822 acc=84.0%] |
| ep 29 | loss=0.4596 train=84.0% test=77.0% | best=automobile=88% worst=cat=59% | 6s |
| Ep 30/30: 100%|████████████████████| 390/390 [00:05<00:00, 65.01it/s, loss=0.3785 acc=84.1%] |
| ep 30 | loss=0.4574 train=84.1% test=77.1% | best=automobile=87% worst=cat=59% | 6s |
|
|
| class acc |
| ---------------------- |
| airplane 79.7% ███████████████ |
| automobile 87.2% █████████████████ |
| bird 65.3% █████████████ |
| cat 58.8% ███████████ |
| deer 74.4% ██████████████ |
| dog 70.8% ██████████████ |
| frog 84.1% ████████████████ |
| horse 80.2% ████████████████ |
| ship 84.5% ████████████████ |
| truck 86.1% █████████████████ |
|
|
|
|
| ====================================================================== |
| BASELINE COMPLETE |
| Best test accuracy: 77.2% |
| Classifier params: 867,050 |
| Random chance: 10.0% |
| ====================================================================== |
|
|
| ====================================================================== |
| HEAD-TO-HEAD COMPARISON |
| ====================================================================== |
| Omega Processor (Freckles features): 72.7% |
| Baseline (raw patches): 77.2% |
| Delta: -4.5% |
| Random chance: 10.0% |
| ====================================================================== |
