[KMNIST] 20250825-012106 | best_acc=0.9489

.gitattributes

@@ -548,3 +548,4 @@ sweep/FashionMNIST/20250825-011246_FashionMNIST/plots/confusion_epoch_6.png filt
 sweep/FashionMNIST/20250825-011246_FashionMNIST/plots/confusion_epoch_7.png filter=lfs diff=lfs merge=lfs -text
 sweep/FashionMNIST/20250825-011246_FashionMNIST/plots/confusion_epoch_8.png filter=lfs diff=lfs merge=lfs -text
 sweep/FashionMNIST/20250825-011246_FashionMNIST/plots/confusion_epoch_9.png filter=lfs diff=lfs merge=lfs -text
+sweep/KMNIST/20250825-012106_KMNIST/plots/best_confusion_fashionmnist_epoch_9.png filter=lfs diff=lfs merge=lfs -text

sweep/KMNIST/20250825-012106_KMNIST/README.md

@@ -0,0 +1,10 @@
+# Pentachora Adaptive Encoded — 20250825-012106
+
+**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/20250825-012106_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/20250825-012106_KMNIST/history.csv

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+epoch,train_loss,train_acc,test_acc,ce,dual,rose,diag,reg,lambda
+1,4.48557572962443,0.5265166666666666,0.5602,1.9555096396128337,1.7448287576039632,0.5330904651641846,0.05771094880104065,2.463757032394409,0.5119326114654541
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+3,3.072022127532959,0.8785166666666666,0.9052,1.20693379611969,1.2747692097345988,0.2868388524691264,0.0060369723297655584,3.0287655672709146,0.5220382213592529
+4,2.736741449737549,0.9232333333333334,0.9184,0.9466318797747294,1.2180658071517945,0.26746210424105327,0.004417671928058068,3.0413989435831708,0.524588942527771
+5,2.5052449064890543,0.94165,0.9295,0.7657997594833374,1.1790255869547526,0.2550309862534205,0.0033509777244801323,3.0505347118377686,0.5263093709945679
+6,2.3470733192443847,0.9666,0.9426,0.6433882504145304,1.1513723458607992,0.24600428889592488,0.002436440508812666,3.0606480485280354,0.5270016193389893
+7,2.245156974029541,0.9777,0.9456,0.5646296345074971,1.1333092889149983,0.2402667633374532,0.0018552673658976952,3.067657651646932,0.5269185304641724
+8,2.182974470901489,0.98115,0.9476,0.5174491348266601,1.1217439079284668,0.23643683848381042,0.0014199050638824702,3.072026076380412,0.5269790291786194
+9,2.152672373199463,0.9812166666666666,0.947,0.49484223211606343,1.115748365910848,0.2345398904800415,0.0012661761294739942,3.0741526353200275,0.5268410444259644
+10,2.1409359020233154,0.9815333333333334,0.9489,0.48612042428652447,1.1133787235260009,0.23381469444433847,0.0011963561533639827,3.0750242593129475,0.5268127918243408

sweep/KMNIST/20250825-012106_KMNIST/history.json

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+{
+  "ce": [
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+  "diag": [
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+    0.0018552673658976952,
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+  "dual": [
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+    1.1333092889149983,
+    1.1217439079284668,
+    1.115748365910848,
+    1.1133787235260009
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+  "lambda": [
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+    0.5179829597473145,
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+    0.524588942527771,
+    0.5263093709945679,
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+  "reg": [
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+    3.0505347118377686,
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+    0.23643683848381042,
+    0.2345398904800415,
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+  ],
+  "test_acc": [
+    0.5602,
+    0.8063,
+    0.9052,
+    0.9184,
+    0.9295,
+    0.9426,
+    0.9456,
+    0.9476,
+    0.947,
+    0.9489
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+  "train_acc": [
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+    0.7662166666666667,
+    0.8785166666666666,
+    0.9232333333333334,
+    0.94165,
+    0.9666,
+    0.9777,
+    0.98115,
+    0.9812166666666666,
+    0.9815333333333334
+  ],
+  "train_loss": [
+    4.48557572962443,
+    3.536102939987183,
+    3.072022127532959,
+    2.736741449737549,
+    2.5052449064890543,
+    2.3470733192443847,
+    2.245156974029541,
+    2.182974470901489,
+    2.152672373199463,
+    2.1409359020233154
+  ]
+}

sweep/KMNIST/20250825-012106_KMNIST/manifest.json

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+{
+  "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": 96,
+    "cuda_available": false,
+    "cuda_device": null,
+    "memory_gb": 334.56,
+    "platform": "Linux-6.1.123+-x86_64-with-glibc2.35",
+    "python": "3.12.11 (main, Jun  4 2025, 08:56:18) [GCC 11.4.0]",
+    "torch": "2.8.0+cpu"
+  },
+  "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": 10,
+    "best_test_accuracy": 0.9489
+  },
+  "subdirectory": "sweep/KMNIST/20250825-012106_KMNIST",
+  "timestamp": "20250825-012106"
+}

sweep/KMNIST/20250825-012106_KMNIST/tensorboard/events.out.tfevents.1756084397.5def8ea04e29.2559.2

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