[QMNIST] 20250817-145241 | best_acc=0.8962

.gitattributes

@@ -370,3 +370,12 @@ sweep/EMNIST/20250817-145008_EMNIST/plots/confusion_epoch_6.png filter=lfs diff=
 sweep/EMNIST/20250817-145008_EMNIST/plots/confusion_epoch_7.png filter=lfs diff=lfs merge=lfs -text
 sweep/EMNIST/20250817-145008_EMNIST/plots/confusion_epoch_8.png filter=lfs diff=lfs merge=lfs -text
 sweep/EMNIST/20250817-145008_EMNIST/plots/confusion_epoch_9.png filter=lfs diff=lfs merge=lfs -text
+sweep/QMNIST/20250817-145241_QMNIST/plots/best_confusion_emnist_epoch_10.png filter=lfs diff=lfs merge=lfs -text
+sweep/QMNIST/20250817-145241_QMNIST/plots/best_confusion_epoch_18.png filter=lfs diff=lfs merge=lfs -text
+sweep/QMNIST/20250817-145241_QMNIST/plots/best_confusion_epoch_7.png filter=lfs diff=lfs merge=lfs -text
+sweep/QMNIST/20250817-145241_QMNIST/plots/best_confusion_fashionmnist_epoch_10.png filter=lfs diff=lfs merge=lfs -text
+sweep/QMNIST/20250817-145241_QMNIST/plots/best_confusion_qmnist_epoch_10.png filter=lfs diff=lfs merge=lfs -text
+sweep/QMNIST/20250817-145241_QMNIST/plots/confusion_epoch_1.png filter=lfs diff=lfs merge=lfs -text
+sweep/QMNIST/20250817-145241_QMNIST/plots/confusion_epoch_2.png filter=lfs diff=lfs merge=lfs -text
+sweep/QMNIST/20250817-145241_QMNIST/plots/confusion_epoch_3.png filter=lfs diff=lfs merge=lfs -text
+sweep/QMNIST/20250817-145241_QMNIST/plots/confusion_epoch_4.png filter=lfs diff=lfs merge=lfs -text

sweep/QMNIST/20250817-145241_QMNIST/README.md

@@ -0,0 +1,10 @@
+# Pentachora Adaptive Encoded — 20250817-145241
+
+**Dataset:** QMNIST
+
+**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/QMNIST/20250817-145241_QMNIST/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/QMNIST/20250817-145241_QMNIST/history.csv

@@ -0,0 +1,11 @@
+epoch,train_loss,train_acc,test_acc,ce,dual,rose,diag,reg,lambda
+1,4.233892975489298,0.6373833333333333,0.79355,1.9499833576202392,1.6040214707692464,0.4377598845640818,0.02479559916059176,2.396487098312378,0.5087081789970398
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+3,2.9781172495524086,0.8763833333333333,0.8896333333333334,1.1854293050765992,1.2357147757848104,0.26253074328104653,0.0029278228633105754,2.941496541341146,0.5200750827789307
+4,2.6595423681894936,0.8815166666666666,0.8902333333333333,0.9225650039990743,1.1906947221755981,0.2506737292846044,0.0023554369452099006,2.953733425140381,0.5234026908874512
+5,2.4497489278157554,0.8848166666666667,0.8912333333333333,0.749776882648468,1.1599343687693278,0.24309352285861968,0.0018398724645065764,2.9676015625,0.5253463983535767
+6,2.313897361246745,0.8888833333333334,0.8930166666666667,0.6419258496284485,1.1371652633666993,0.23696052118142447,0.0013822226874530316,2.977075068791707,0.5263023376464844
+7,2.2315577809651694,0.88985,0.89535,0.577313188012441,1.1226643961588543,0.23308036449750263,0.0010078581334246944,2.9839905344645183,0.5264653563499451
+8,2.181387991587321,0.89265,0.89555,0.5381540023803711,1.1136535208384195,0.2307220474799474,0.0008052583827947577,2.9877786958058676,0.5265450477600098
+9,2.1549431818644207,0.8933833333333333,0.8960833333333333,0.5172986554781596,1.109073919804891,0.2295211783885956,0.0006805687079206109,2.9898136819203693,0.5265047550201416
+10,2.1447142634073892,0.8929333333333334,0.89625,0.5100069608052572,1.106818628883362,0.22876406610012054,0.0005897457635068955,2.99065609219869,0.5264818668365479

sweep/QMNIST/20250817-145241_QMNIST/history.json

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+{
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+    1.1226643961588543,
+    1.1136535208384195,
+    1.109073919804891,
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+  "lambda": [
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+  "test_acc": [
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+    0.8930166666666667,
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+    0.8888833333333334,
+    0.88985,
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+    0.8933833333333333,
+    0.8929333333333334
+  ],
+  "train_loss": [
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+    2.9781172495524086,
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+    2.181387991587321,
+    2.1549431818644207,
+    2.1447142634073892
+  ]
+}

sweep/QMNIST/20250817-145241_QMNIST/manifest.json

@@ -0,0 +1,43 @@
+{
+  "class_names": [
+    "qmnist-0",
+    "qmnist-1",
+    "qmnist-2",
+    "qmnist-3",
+    "qmnist-4",
+    "qmnist-5",
+    "qmnist-6",
+    "qmnist-7",
+    "qmnist-8",
+    "qmnist-9"
+  ],
+  "dataset_name": "QMNIST",
+  "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": 10,
+    "best_test_accuracy": 0.89625
+  },
+  "subdirectory": "sweep/QMNIST/20250817-145241_QMNIST",
+  "timestamp": "20250817-145241"
+}