[FashionMNIST] 20251004-021256 | best_acc=0.9103
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- .gitattributes +109 -0
- FashionMNIST/20251004-021256_FashionMNIST/README.md +10 -0
- FashionMNIST/20251004-021256_FashionMNIST/config.json +40 -0
- FashionMNIST/20251004-021256_FashionMNIST/history.csv +21 -0
- FashionMNIST/20251004-021256_FashionMNIST/history.json +200 -0
- FashionMNIST/20251004-021256_FashionMNIST/manifest.json +43 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/accuracy.png +0 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/best_confusion_epoch_10.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/best_confusion_epoch_14.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/best_confusion_epoch_19.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/best_confusion_epoch_20.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/best_confusion_epoch_3.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/best_confusion_epoch_5.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/best_confusion_epoch_79.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/best_confusion_epoch_84.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/best_confusion_epoch_9.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_1.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_10.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_100.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_11.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_12.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_13.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_14.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_15.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_16.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_17.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_18.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_19.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_2.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_20.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_21.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_22.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_23.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_24.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_25.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_26.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_27.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_28.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_29.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_3.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_30.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_31.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_32.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_33.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_34.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_35.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_36.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_37.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_38.png +3 -0
- FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_39.png +3 -0
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_82.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_83.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_84.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_85.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_86.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_87.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_88.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_89.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_9.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_90.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_91.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_92.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_93.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_94.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_95.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_96.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_97.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_98.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/plots/confusion_epoch_99.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20251004-021256_FashionMNIST/README.md
ADDED
|
@@ -0,0 +1,10 @@
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| 1 |
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# Pentachora Adaptive Encoded — 20251004-021256
|
| 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/20251004-021256_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": 0.003,
|
| 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": 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/20251004-021256_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 |
+
1,8.928839428456625,0.6110166666666667,0.5912,1.7172431332906086,6.473222484842936,0.6066765438079834,0.5464057575126489,0.7705669517834981,0.6353241801261902
|
| 3 |
+
2,6.621265903727213,0.7546833333333334,0.8054,0.9447465955416362,5.147443492635091,0.4504537451108297,0.05720739766160647,0.729013880888621,0.6367006301879883
|
| 4 |
+
3,5.992560478210449,0.8172333333333334,0.8369,0.6169757556756338,4.87476316502889,0.42365623428026833,0.03952914646863937,0.7321244064966838,0.6375455856323242
|
| 5 |
+
4,5.428116753133138,0.8463,0.8387,0.4877377546787262,4.494539083862304,0.36915402539571124,0.03232866649230321,0.7345307490030925,0.638012170791626
|
| 6 |
+
5,5.189959771474203,0.8578333333333333,0.8798,0.43918952854474386,4.324702378590902,0.3499411800225576,0.030725059138735137,0.7305416203180949,0.6382968425750732
|
| 7 |
+
6,5.0070355682373044,0.8677833333333334,0.8617,0.40644942291577657,4.19165119527181,0.3325269927183787,0.028381983649730682,0.7356977874437968,0.6384412050247192
|
| 8 |
+
7,5.206264508310954,0.8557666666666667,0.8742,0.4346846136887868,4.343569020080566,0.35132397219340006,0.03137062511444092,0.7354987015088399,0.6387491226196289
|
| 9 |
+
8,5.075421277109782,0.86395,0.671,0.40815647563934326,4.252191651407878,0.33892389645576476,0.02712386935154597,0.7343689531962077,0.6391173005104065
|
| 10 |
+
9,5.912479890696208,0.8192166666666667,0.7172,0.5298835704167684,4.8905765782674155,0.415128279209137,0.0338998385310173,0.735015000406901,0.6400864124298096
|
| 11 |
+
10,5.180416136169433,0.8595833333333334,0.8674,0.4193219625790914,4.335173454920451,0.34977526949246723,0.026021587141354878,0.7354329764684041,0.6403915286064148
|
| 12 |
+
11,4.854779627482096,0.8750833333333333,0.8773,0.36949139779408774,4.088778113301595,0.32062747707366945,0.0234303338855505,0.7353959220250448,0.6404344439506531
|
| 13 |
+
12,4.69461899134318,0.8837666666666667,0.8926,0.3455045807202657,3.967685705693563,0.3059521342754364,0.02170584338804086,0.7330599026997884,0.6404998302459717
|
| 14 |
+
13,4.641251029205322,0.8860166666666667,0.8966,0.3378557765642802,3.9257104522705077,0.3022162784894307,0.02130348350306352,0.7333820377985636,0.6404977440834045
|
| 15 |
+
14,4.564925127919515,0.8903666666666666,0.8938,0.3255019738515218,3.8675365604400636,0.2964227577209473,0.020778674499193826,0.7338598092079163,0.6404894590377808
|
| 16 |
+
15,4.52178417485555,0.8923,0.9018,0.3176797261873881,3.8370916160583497,0.2918256107012431,0.020048272190491358,0.7318238061269124,0.640496015548706
|
| 17 |
+
16,4.476576303354899,0.8941,0.9026,0.310099455165863,3.8039278827667236,0.2874532957712809,0.019443385740121204,0.7315134956359863,0.6405006647109985
|
| 18 |
+
17,4.429898128255208,0.8975666666666666,0.9057,0.30202499429384866,3.7693120482126874,0.28355901176134746,0.018950877074400584,0.7310701922098796,0.6404788494110107
|
| 19 |
+
18,4.42010158030192,0.89875,0.9061,0.29936056989034016,3.7628256379445393,0.2829761387189229,0.01888353224247694,0.7305090517361958,0.6404861807823181
|
| 20 |
+
19,4.405446312967936,0.89815,0.9102,0.2972862275282542,3.7506133700052895,0.28265253896713255,0.01875568101902803,0.7301867356300354,0.6404834985733032
|
| 21 |
+
20,4.379522707621256,0.8992333333333333,0.9103,0.29341961142222084,3.7313576047261554,0.2799141842842102,0.018413530309995017,0.7298992383639018,0.6404829025268555
|
FashionMNIST/20251004-021256_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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|
| 4 |
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|
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|
| 22 |
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0.29341961142222084
|
| 23 |
+
],
|
| 24 |
+
"diag": [
|
| 25 |
+
0.5464057575126489,
|
| 26 |
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|
| 27 |
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|
| 28 |
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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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|
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|
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|
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|
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0.01875568101902803,
|
| 44 |
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0.018413530309995017
|
| 45 |
+
],
|
| 46 |
+
"dual": [
|
| 47 |
+
6.473222484842936,
|
| 48 |
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5.147443492635091,
|
| 49 |
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4.87476316502889,
|
| 50 |
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4.494539083862304,
|
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|
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|
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3.7693120482126874,
|
| 64 |
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3.7628256379445393,
|
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