[FashionMNIST] 20251004-023245 | best_acc=0.9284
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +110 -0
- FashionMNIST/20251004-023245_FashionMNIST/README.md +10 -0
- FashionMNIST/20251004-023245_FashionMNIST/config.json +40 -0
- FashionMNIST/20251004-023245_FashionMNIST/history.csv +21 -0
- FashionMNIST/20251004-023245_FashionMNIST/history.json +200 -0
- FashionMNIST/20251004-023245_FashionMNIST/manifest.json +43 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/accuracy.png +0 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/best_confusion_epoch_10.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/best_confusion_epoch_14.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/best_confusion_epoch_19.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/best_confusion_epoch_20.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/best_confusion_epoch_3.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/best_confusion_epoch_5.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/best_confusion_epoch_79.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/best_confusion_epoch_84.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/best_confusion_epoch_9.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/best_confusion_fashionmnist_epoch_17.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/best_confusion_mnist_epoch_17.png +0 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_1.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_10.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_100.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_11.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_12.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_13.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_14.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_15.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_16.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_17.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_18.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_19.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_2.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_20.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_21.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_22.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_23.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_24.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_25.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_26.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_27.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_28.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_29.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_3.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_30.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_31.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_32.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_33.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_34.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_35.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_36.png +3 -0
- FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_37.png +3 -0
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_81.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_82.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_83.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_84.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_85.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_86.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_87.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_88.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_89.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_9.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_90.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_91.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_92.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_93.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_94.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_95.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_96.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_97.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_98.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/plots/confusion_epoch_99.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-023245_FashionMNIST/README.md
ADDED
|
@@ -0,0 +1,10 @@
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| 1 |
+
# Pentachora Adaptive Encoded — 20251004-023245
|
| 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/20251004-023245_FashionMNIST/config.json
ADDED
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| 1 |
+
{
|
| 2 |
+
"augment": true,
|
| 3 |
+
"base_dim": 56,
|
| 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": 0.001,
|
| 23 |
+
"normalize": true,
|
| 24 |
+
"num_classes": 10,
|
| 25 |
+
"num_heads": 2,
|
| 26 |
+
"num_pentachoron_pairs": 2,
|
| 27 |
+
"per_dataset_norm": true,
|
| 28 |
+
"proj_dim": null,
|
| 29 |
+
"seed": 420,
|
| 30 |
+
"seed_per_dataset": false,
|
| 31 |
+
"strict_determinism": false,
|
| 32 |
+
"sweep_all": true,
|
| 33 |
+
"temp": 0.5,
|
| 34 |
+
"w_ce": 1.0,
|
| 35 |
+
"w_diag": 0.1,
|
| 36 |
+
"w_dual": 1.0,
|
| 37 |
+
"w_reg": 0.1,
|
| 38 |
+
"w_rose": 1.0,
|
| 39 |
+
"weight_decay": 1e-05
|
| 40 |
+
}
|
FashionMNIST/20251004-023245_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 |
+
1,5.316483742777507,0.6386833333333334,0.7103,1.9831275106430053,2.744017768351237,0.4864393747170766,0.07198706024289131,0.9570045170783996,0.6310743093490601
|
| 3 |
+
2,4.1271273679097495,0.84905,0.8698,1.531120962715149,2.1569149439493813,0.34427583416303,0.03281393481890361,0.9153420358339945,0.6380065083503723
|
| 4 |
+
3,3.5627654013315837,0.8753,0.8722,1.1003680165608725,2.048736518351237,0.3212667328039805,0.02568755973279476,0.898253862953186,0.641666054725647
|
| 5 |
+
4,3.1124488931020102,0.8878,0.8946,0.7390370465596517,1.9770033096313477,0.30488486777941387,0.02471670667330424,0.8905199948310852,0.645469069480896
|
| 6 |
+
5,2.854737536875407,0.8933166666666666,0.8939,0.532714432811737,1.9365548797607421,0.2951336352189382,0.023340073627233504,0.8800058817227682,0.6494245529174805
|
| 7 |
+
6,2.6823780883789063,0.8998333333333334,0.9079,0.4233003969033559,1.8872617301940917,0.2831076140721639,0.021174730748931565,0.8659086237271627,0.6526463627815247
|
| 8 |
+
7,2.5800004543304444,0.9047166666666666,0.9007,0.3659578800360362,1.852333090019226,0.2738164615472158,0.019320868681867918,0.8596094919840495,0.6558571457862854
|
| 9 |
+
8,2.524121462885539,0.9068,0.9026,0.3367283996105194,1.8305860744476319,0.27003411841392516,0.018275607514381408,0.8494535083134969,0.659471869468689
|
| 10 |
+
9,2.4626994283040364,0.9111166666666667,0.9138,0.3124102029323578,1.8015008289337158,0.2628473818620046,0.01772630667189757,0.8416836017290751,0.6610966920852661
|
| 11 |
+
10,2.3874862659454346,0.9171666666666667,0.9145,0.286269379790624,1.7615462951660157,0.25420903367996217,0.016476954955856004,0.8381382547696431,0.6622161865234375
|
| 12 |
+
11,2.3573801382700603,0.91955,0.9123,0.27577219341595965,1.7459170205434162,0.25100481673876446,0.016229135982195535,0.8306318164189657,0.6636812090873718
|
| 13 |
+
12,2.322458720525106,0.9219,0.9097,0.2648672046820323,1.7275207607269287,0.24602925855318705,0.015569049572944641,0.8248459267934164,0.6644912362098694
|
| 14 |
+
13,2.293781739425659,0.9238166666666666,0.9196,0.2555704742749532,1.7120277165730795,0.24230954433282217,0.015104493980606397,0.8236355080286661,0.6645127534866333
|
| 15 |
+
14,2.2399904804229736,0.9285333333333333,0.9259,0.23932937620480854,1.6809343173980713,0.23641063793500264,0.014255997988581657,0.8189053339958191,0.6642233729362488
|
| 16 |
+
15,2.2284320784250897,0.9300166666666667,0.9261,0.23573104383150736,1.6748573690414428,0.23484534786542258,0.013979780779282252,0.8160033617337544,0.664009153842926
|
| 17 |
+
16,2.1915416903177896,0.9322666666666667,0.9256,0.22556453829606374,1.6533753721872966,0.2299308451493581,0.013328183037042618,0.813381134446462,0.6640021204948425
|
| 18 |
+
17,2.178717518234253,0.9335166666666667,0.9284,0.22139083382288616,1.6466670738220215,0.22819740595022836,0.013158307498693466,0.8114637476285299,0.6637998819351196
|
| 19 |
+
18,2.1569339728037518,0.93535,0.9273,0.21577973639965056,1.6340773057301838,0.2247357877254486,0.012718910294274488,0.8106926122665405,0.6636790633201599
|
| 20 |
+
19,2.1445303526560466,0.9371833333333334,0.9281,0.21204481638272604,1.6268925214131673,0.22340665329297382,0.012567889694372813,0.8092953994433085,0.6635786890983582
|
| 21 |
+
20,2.13746510848999,0.9369333333333333,0.9281,0.20949783398310343,1.6234708995819092,0.2223596436103185,0.012417793334523837,0.8089495579401652,0.6635621190071106
|
FashionMNIST/20251004-023245_FashionMNIST/history.json
ADDED
|
@@ -0,0 +1,200 @@
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|
| 1 |
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{
|
| 2 |
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"ce": [
|
| 3 |
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1.9831275106430053,
|
| 4 |
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1.531120962715149,
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|
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0.21204481638272604,
|
| 22 |
+
0.20949783398310343
|
| 23 |
+
],
|
| 24 |
+
"diag": [
|
| 25 |
+
0.07198706024289131,
|
| 26 |
+
0.03281393481890361,
|
| 27 |
+
0.02568755973279476,
|
| 28 |
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0.02471670667330424,
|
| 29 |
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|
| 30 |
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|
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|
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|
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0.01772630667189757,
|
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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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|
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|
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|
| 43 |
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0.012567889694372813,
|
| 44 |
+
0.012417793334523837
|
| 45 |
+
],
|
| 46 |
+
"dual": [
|
| 47 |
+
2.744017768351237,
|
| 48 |
+
2.1569149439493813,
|
| 49 |
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2.048736518351237,
|
| 50 |
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1.9770033096313477,
|
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1.9365548797607421,
|
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1.8872617301940917,
|
| 53 |
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1.852333090019226,
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|
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|
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|
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1.6809343173980713,
|
| 61 |
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1.6748573690414428,
|
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