[KMNIST] 20250817-144647 | best_acc=0.9512

.gitattributes

@@ -353,3 +353,6 @@ sweep/FashionMNIST/20250817-144509_FashionMNIST/plots/confusion_epoch_6.png filt
 sweep/FashionMNIST/20250817-144509_FashionMNIST/plots/confusion_epoch_7.png filter=lfs diff=lfs merge=lfs -text
 sweep/FashionMNIST/20250817-144509_FashionMNIST/plots/confusion_epoch_8.png filter=lfs diff=lfs merge=lfs -text
 sweep/FashionMNIST/20250817-144509_FashionMNIST/plots/confusion_epoch_9.png filter=lfs diff=lfs merge=lfs -text
+sweep/KMNIST/20250817-144647_KMNIST/plots/best_confusion_epoch_18.png filter=lfs diff=lfs merge=lfs -text
+sweep/KMNIST/20250817-144647_KMNIST/plots/best_confusion_epoch_7.png filter=lfs diff=lfs merge=lfs -text
+sweep/KMNIST/20250817-144647_KMNIST/plots/best_confusion_fashionmnist_epoch_10.png filter=lfs diff=lfs merge=lfs -text

sweep/KMNIST/20250817-144647_KMNIST/README.md

@@ -0,0 +1,10 @@
+# Pentachora Adaptive Encoded — 20250817-144647
+
+**Dataset:** KMNIST
+
+**Contents**
+- `weights/*.safetensors` — encoder, constellation, diagnostic head
+- `config.json`, `manifest.json`
+- `history.json` / `history.csv`
+- `tensorboard/` (and `tensorboard_events.zip`)
+- `plots/` — accuracy, loss, λ, confusion

sweep/KMNIST/20250817-144647_KMNIST/config.json

@@ -0,0 +1,41 @@
+{
+  "augment": false,
+  "base_dim": 56,
+  "batch_size": 1024,
+  "channels": 24,
+  "dataset": "all",
+  "deterministic": true,
+  "deterministic_cublas": false,
+  "epochs": 10,
+  "hf_dataset_dir_template": "{dataset}",
+  "hf_preserve_case": true,
+  "hf_repo_id": "AbstractPhil/pentachora-multi-channel-frequency-encoded",
+  "hf_run_dir_template": "{ts}_{dataset}",
+  "hf_subdir_root": "sweep",
+  "hf_weight_suffix_dataset": true,
+  "img_channels": "auto",
+  "img_size": 28,
+  "input_channels": 1,
+  "input_dim": 784,
+  "lambda_separation": 0.391,
+  "loss_weight_scalar": 0.1,
+  "lr": 0.001,
+  "normalize": true,
+  "note": "",
+  "num_classes": 10,
+  "num_heads": 2,
+  "num_pentachoron_pairs": 2,
+  "per_dataset_norm": true,
+  "proj_dim": null,
+  "seed": 420,
+  "seed_per_dataset": false,
+  "strict_determinism": false,
+  "sweep_all": true,
+  "temp": 0.7,
+  "w_ce": 1.0,
+  "w_diag": 0.1,
+  "w_dual": 1.0,
+  "w_reg": 0.1,
+  "w_rose": 1.0,
+  "weight_decay": 1e-05
+}

sweep/KMNIST/20250817-144647_KMNIST/history.csv

@@ -0,0 +1,11 @@
+epoch,train_loss,train_acc,test_acc,ce,dual,rose,diag,reg,lambda
+1,4.5203807802836105,0.52475,0.6868,1.9996617921829223,1.7345346495310465,0.5330596348126729,0.025994124846160413,2.505253096516927,0.5081968903541565
+2,3.566502532577515,0.8378,0.8349,1.5753430054982502,1.362559902826945,0.3232237820784251,0.008980530016124248,3.0447779179890953,0.5123655796051025
+3,3.079918941752116,0.9397666666666666,0.9089,1.2157268785476685,1.2721974803288778,0.2877214326699575,0.005947069749732812,3.036784422938029,0.5156224370002747
+4,2.7210487326304116,0.9653833333333334,0.9218,0.9339810914993286,1.215029684638977,0.2674241689364115,0.004192198484142621,3.0419456002553305,0.5188320279121399
+5,2.469340245056152,0.97675,0.9298,0.7350104240099589,1.17501280225118,0.25405244851112363,0.002954646461457014,3.049691032409668,0.5206859707832336
+6,2.3060324467976887,0.9807,0.946,0.6049373060226441,1.1493397890726724,0.2458414247671763,0.002221761526912451,3.0569174517313638,0.5217382907867432
+7,2.2001306231180826,0.9843333333333333,0.9486,0.5234877174377441,1.1305587978363036,0.23965013965765636,0.0016489867995803556,3.0626908602396647,0.5213360786437988
+8,2.1399141896565754,0.98605,0.9481,0.4767147150357564,1.120157110595703,0.23627285215854646,0.0013288942863543829,3.0663661263783775,0.5214526653289795
+9,2.1073309514363605,0.98715,0.9512,0.4519249406019847,1.1141238658269246,0.23433525817394257,0.0011498555194586516,3.068319311014811,0.5213534235954285
+10,2.0968259101867677,0.98745,0.9507,0.44465528984069824,1.1116395818074545,0.2335045117298762,0.0010831997250517209,3.069181990814209,0.5213242173194885

sweep/KMNIST/20250817-144647_KMNIST/history.json

@@ -0,0 +1,110 @@
+{
+  "ce": [
+    1.9996617921829223,
+    1.5753430054982502,
+    1.2157268785476685,
+    0.9339810914993286,
+    0.7350104240099589,
+    0.6049373060226441,
+    0.5234877174377441,
+    0.4767147150357564,
+    0.4519249406019847,
+    0.44465528984069824
+  ],
+  "diag": [
+    0.025994124846160413,
+    0.008980530016124248,
+    0.005947069749732812,
+    0.004192198484142621,
+    0.002954646461457014,
+    0.002221761526912451,
+    0.0016489867995803556,
+    0.0013288942863543829,
+    0.0011498555194586516,
+    0.0010831997250517209
+  ],
+  "dual": [
+    1.7345346495310465,
+    1.362559902826945,
+    1.2721974803288778,
+    1.215029684638977,
+    1.17501280225118,
+    1.1493397890726724,
+    1.1305587978363036,
+    1.120157110595703,
+    1.1141238658269246,
+    1.1116395818074545
+  ],
+  "lambda": [
+    0.5081968903541565,
+    0.5123655796051025,
+    0.5156224370002747,
+    0.5188320279121399,
+    0.5206859707832336,
+    0.5217382907867432,
+    0.5213360786437988,
+    0.5214526653289795,
+    0.5213534235954285,
+    0.5213242173194885
+  ],
+  "reg": [
+    2.505253096516927,
+    3.0447779179890953,
+    3.036784422938029,
+    3.0419456002553305,
+    3.049691032409668,
+    3.0569174517313638,
+    3.0626908602396647,
+    3.0663661263783775,
+    3.068319311014811,
+    3.069181990814209
+  ],
+  "rose": [
+    0.5330596348126729,
+    0.3232237820784251,
+    0.2877214326699575,
+    0.2674241689364115,
+    0.25405244851112363,
+    0.2458414247671763,
+    0.23965013965765636,
+    0.23627285215854646,
+    0.23433525817394257,
+    0.2335045117298762
+  ],
+  "test_acc": [
+    0.6868,
+    0.8349,
+    0.9089,
+    0.9218,
+    0.9298,
+    0.946,
+    0.9486,
+    0.9481,
+    0.9512,
+    0.9507
+  ],
+  "train_acc": [
+    0.52475,
+    0.8378,
+    0.9397666666666666,
+    0.9653833333333334,
+    0.97675,
+    0.9807,
+    0.9843333333333333,
+    0.98605,
+    0.98715,
+    0.98745
+  ],
+  "train_loss": [
+    4.5203807802836105,
+    3.566502532577515,
+    3.079918941752116,
+    2.7210487326304116,
+    2.469340245056152,
+    2.3060324467976887,
+    2.2001306231180826,
+    2.1399141896565754,
+    2.1073309514363605,
+    2.0968259101867677
+  ]
+}

sweep/KMNIST/20250817-144647_KMNIST/manifest.json

@@ -0,0 +1,43 @@
+{
+  "class_names": [
+    "kmnist-\u304a",
+    "kmnist-\u304d",
+    "kmnist-\u3059",
+    "kmnist-\u3064",
+    "kmnist-\u306a",
+    "kmnist-\u306f",
+    "kmnist-\u307e",
+    "kmnist-\u3084",
+    "kmnist-\u308c",
+    "kmnist-\u3092"
+  ],
+  "dataset_name": "KMNIST",
+  "environment": {
+    "cpu_count": 12,
+    "cuda_available": true,
+    "cuda_device": "NVIDIA A100-SXM4-40GB",
+    "memory_gb": 83.48,
+    "platform": "Linux-6.1.123+-x86_64-with-glibc2.35",
+    "python": "3.11.13 (main, Jun  4 2025, 08:57:29) [GCC 11.4.0]",
+    "torch": "2.6.0+cu124"
+  },
+  "models": {
+    "constellation": {
+      "params": 16777
+    },
+    "diagnostic_head": {
+      "params": 7681
+    },
+    "encoder": {
+      "params": 429897
+    }
+  },
+  "num_classes": 10,
+  "repo_id": "AbstractPhil/pentachora-multi-channel-frequency-encoded",
+  "results": {
+    "best_epoch": 9,
+    "best_test_accuracy": 0.9512
+  },
+  "subdirectory": "sweep/KMNIST/20250817-144647_KMNIST",
+  "timestamp": "20250817-144647"
+}