[FashionMNIST] 20251004-022237 | best_acc=0.9121
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- .gitattributes +109 -0
- FashionMNIST/20251004-022237_FashionMNIST/README.md +10 -0
- FashionMNIST/20251004-022237_FashionMNIST/config.json +40 -0
- FashionMNIST/20251004-022237_FashionMNIST/history.csv +21 -0
- FashionMNIST/20251004-022237_FashionMNIST/history.json +200 -0
- FashionMNIST/20251004-022237_FashionMNIST/manifest.json +43 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/accuracy.png +0 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/best_confusion_epoch_10.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/best_confusion_epoch_14.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/best_confusion_epoch_19.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/best_confusion_epoch_20.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/best_confusion_epoch_3.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/best_confusion_epoch_5.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/best_confusion_epoch_79.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/best_confusion_epoch_84.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/best_confusion_epoch_9.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_1.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_10.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_100.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_11.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_12.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_13.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_14.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_15.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_16.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_17.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_18.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_19.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_2.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_20.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_21.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_22.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_23.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_24.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_25.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_26.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_27.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_28.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_29.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_3.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_30.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_31.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_32.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_33.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_34.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_35.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_36.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_37.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_38.png +3 -0
- FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_39.png +3 -0
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FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_84.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_85.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_86.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_87.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_88.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_89.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_9.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_90.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_91.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_92.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_93.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_94.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_95.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_96.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_97.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_98.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-022237_FashionMNIST/plots/confusion_epoch_99.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-022237_FashionMNIST/README.md
ADDED
|
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| 1 |
+
# Pentachora Adaptive Encoded — 20251004-022237
|
| 2 |
+
|
| 3 |
+
**Dataset:** FashionMNIST
|
| 4 |
+
|
| 5 |
+
**Contents**
|
| 6 |
+
- `weights/*.safetensors` — encoder, constellation, diagnostic head
|
| 7 |
+
- `config.json`, `manifest.json`
|
| 8 |
+
- `history.json` / `history.csv`
|
| 9 |
+
- `tensorboard/` (and `tensorboard_events.zip`)
|
| 10 |
+
- `plots/` — accuracy, loss, λ, confusion
|
FashionMNIST/20251004-022237_FashionMNIST/config.json
ADDED
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| 1 |
+
{
|
| 2 |
+
"augment": true,
|
| 3 |
+
"base_dim": 700,
|
| 4 |
+
"batch_size": 1024,
|
| 5 |
+
"channels": 24,
|
| 6 |
+
"dataset": "FashionMNIST",
|
| 7 |
+
"deterministic": true,
|
| 8 |
+
"deterministic_cublas": false,
|
| 9 |
+
"epochs": 20,
|
| 10 |
+
"hf_dataset_dir_template": "{dataset}",
|
| 11 |
+
"hf_preserve_case": true,
|
| 12 |
+
"hf_repo_id": "AbstractPhil/pentachora-multi-channel-frequency-encoded-2",
|
| 13 |
+
"hf_run_dir_template": "{ts}_{dataset}",
|
| 14 |
+
"hf_subdir_root": "",
|
| 15 |
+
"hf_weight_suffix_dataset": true,
|
| 16 |
+
"img_channels": "auto",
|
| 17 |
+
"img_size": 28,
|
| 18 |
+
"input_channels": 1,
|
| 19 |
+
"input_dim": 784,
|
| 20 |
+
"lambda_separation": 0.391,
|
| 21 |
+
"loss_weight_scalar": 1.0,
|
| 22 |
+
"lr": 0.005,
|
| 23 |
+
"normalize": true,
|
| 24 |
+
"num_classes": 10,
|
| 25 |
+
"num_heads": 4,
|
| 26 |
+
"num_pentachoron_pairs": 4,
|
| 27 |
+
"per_dataset_norm": true,
|
| 28 |
+
"proj_dim": null,
|
| 29 |
+
"seed": 420,
|
| 30 |
+
"seed_per_dataset": false,
|
| 31 |
+
"strict_determinism": false,
|
| 32 |
+
"sweep_all": false,
|
| 33 |
+
"temp": 0.5,
|
| 34 |
+
"w_ce": 0.5,
|
| 35 |
+
"w_diag": 0.1,
|
| 36 |
+
"w_dual": 1.0,
|
| 37 |
+
"w_reg": 0.2,
|
| 38 |
+
"w_rose": 1.0,
|
| 39 |
+
"weight_decay": 1e-05
|
| 40 |
+
}
|
FashionMNIST/20251004-022237_FashionMNIST/history.csv
ADDED
|
@@ -0,0 +1,21 @@
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|
| 1 |
+
epoch,train_loss,train_acc,test_acc,ce,dual,rose,diag,reg,lambda
|
| 2 |
+
1,9.038315434010823,0.5795666666666667,0.657,1.6403092144012452,7.294950427246094,0.7031092738469442,0.7106189518034458,0.7451964679718017,0.6398840546607971
|
| 3 |
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2,6.423930629984538,0.7691166666666667,0.7924,0.7459057920773824,5.437215172322591,0.45986206375757854,0.054854725164175035,0.7420751994450887,0.6411298513412476
|
| 4 |
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3,5.714358030446371,0.8163333333333334,0.8159,0.557027693303426,4.882142014567057,0.4009770298957825,0.037718668737014134,0.7447661986986797,0.6415501236915588
|
| 5 |
+
4,5.336014210510254,0.8414833333333334,0.8633,0.4825585231463114,4.571245378621419,0.3713730005105336,0.03309261360168457,0.7440366647402445,0.6419579982757568
|
| 6 |
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5,5.185267550913493,0.8488166666666667,0.8482,0.45378713746070864,4.449579945627848,0.35714588316281637,0.031674176862835884,0.7424038293838501,0.6422450542449951
|
| 7 |
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6,4.9783663525899255,0.8609166666666667,0.8583,0.41637547656695045,4.27976503346761,0.3388733670075734,0.028995109900832178,0.7432034256299337,0.6426092982292175
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| 8 |
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7,4.846833243052164,0.8661666666666666,0.853,0.396617905664444,4.17218437983195,0.3249607866605123,0.026018018531799317,0.7438865029970805,0.6427468061447144
|
| 9 |
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8,4.777420217386881,0.8718,0.869,0.3797304101149241,4.116159364318848,0.31988129858970643,0.026174608005086582,0.7444843684832255,0.6428812742233276
|
| 10 |
+
9,4.6603322606404625,0.8774166666666666,0.8639,0.36062146962483727,4.020496013895671,0.30797423798243206,0.02411485686103503,0.7456990555763244,0.6429206132888794
|
| 11 |
+
10,4.593200825246175,0.8829833333333333,0.8755,0.34707792598406473,3.966553788248698,0.30239211753209433,0.022680591581265133,0.7422394490242005,0.6431023478507996
|
| 12 |
+
11,4.569643619028727,0.8847,0.8928,0.3444668218135834,3.9438805272420248,0.30256850620905557,0.023287830993533133,0.7431618204752605,0.6430692672729492
|
| 13 |
+
12,4.498350827280681,0.8877666666666667,0.8852,0.3289681750615438,3.8884544700622556,0.2949526738325755,0.021811126292745273,0.741392520682017,0.6431732177734375
|
| 14 |
+
13,4.437729679107666,0.8914833333333333,0.8932,0.320666442489624,3.836427772013346,0.2906865573088328,0.02103079025844733,0.7408951990763346,0.643144965171814
|
| 15 |
+
14,4.390880058542887,0.8944833333333333,0.9006,0.3122510146458944,3.7973105248769126,0.28753340253829957,0.020543928586443265,0.7392810542106628,0.6431884169578552
|
| 16 |
+
15,4.345230210113526,0.8959333333333334,0.9043,0.30286971796353657,3.760848501586914,0.28319512497584026,0.019977867514888444,0.7387696478525797,0.6432124972343445
|
| 17 |
+
16,4.293294856262207,0.8993833333333333,0.9073,0.29405554790496824,3.718479592514038,0.2781125242392222,0.018887013922135036,0.7389314835230509,0.6432340145111084
|
| 18 |
+
17,4.2490744883219405,0.90265,0.9084,0.28545972897211713,3.683543681081136,0.27346157393455506,0.01852314849793911,0.7374353712717692,0.6432880163192749
|
| 19 |
+
18,4.24512370223999,0.9024333333333333,0.91,0.2833577501296997,3.6807783782958983,0.27356112348238626,0.018231537896891435,0.7364109014193218,0.6432677507400513
|
| 20 |
+
19,4.228737420145671,0.9031833333333333,0.9121,0.279811160437266,3.667638159942627,0.27224320112864175,0.018008505405982336,0.7357484210968017,0.6432716250419617
|
| 21 |
+
20,4.205548659769694,0.90425,0.9108,0.27614149525960285,3.6481971415201824,0.2704278179327647,0.017677826313177745,0.7354258148193359,0.6432690024375916
|
FashionMNIST/20251004-022237_FashionMNIST/history.json
ADDED
|
@@ -0,0 +1,200 @@
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|
| 1 |
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{
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| 2 |
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"ce": [
|
| 3 |
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|
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|
| 23 |
+
],
|
| 24 |
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"diag": [
|
| 25 |
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|
| 26 |
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|
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|
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|
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|
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|
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|
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|
| 45 |
+
],
|
| 46 |
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"dual": [
|
| 47 |
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|
| 48 |
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|
| 49 |
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4.882142014567057,
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3.836427772013346,
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|
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|
| 66 |
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|
| 67 |
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],
|
| 68 |
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"lambda": [
|
| 69 |
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|
| 70 |
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|
| 71 |
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{
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