[OCTMNIST] 20250825-021124 | best_acc=0.4820

.gitattributes

@@ -598,3 +598,8 @@ sweep/PathMNIST/20250825-020020_PathMNIST/plots/confusion_epoch_6.png filter=lfs
 sweep/PathMNIST/20250825-020020_PathMNIST/plots/confusion_epoch_7.png filter=lfs diff=lfs merge=lfs -text
 sweep/PathMNIST/20250825-020020_PathMNIST/plots/confusion_epoch_8.png filter=lfs diff=lfs merge=lfs -text
 sweep/PathMNIST/20250825-020020_PathMNIST/plots/confusion_epoch_9.png filter=lfs diff=lfs merge=lfs -text
+sweep/OCTMNIST/20250825-021124_OCTMNIST/plots/best_confusion_bloodmnist_epoch_10.png filter=lfs diff=lfs merge=lfs -text
+sweep/OCTMNIST/20250825-021124_OCTMNIST/plots/best_confusion_emnist_epoch_10.png filter=lfs diff=lfs merge=lfs -text
+sweep/OCTMNIST/20250825-021124_OCTMNIST/plots/best_confusion_fashionmnist_epoch_9.png filter=lfs diff=lfs merge=lfs -text
+sweep/OCTMNIST/20250825-021124_OCTMNIST/plots/best_confusion_pathmnist_epoch_10.png filter=lfs diff=lfs merge=lfs -text
+sweep/OCTMNIST/20250825-021124_OCTMNIST/plots/best_confusion_qmnist_epoch_9.png filter=lfs diff=lfs merge=lfs -text

sweep/OCTMNIST/20250825-021124_OCTMNIST/README.md

@@ -0,0 +1,10 @@
+# Pentachora Adaptive Encoded — 20250825-021124
+
+**Dataset:** OCTMNIST
+
+**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/OCTMNIST/20250825-021124_OCTMNIST/config.json

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+{
+  "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": 4,
+  "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/OCTMNIST/20250825-021124_OCTMNIST/history.csv

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+epoch,train_loss,train_acc,test_acc,ce,dual,rose,diag,reg,lambda
+1,4.050663824695438,0.6406023985145214,0.479,1.1912921731487205,1.8956560471927237,0.7036862215616234,0.08178581440325824,2.5185080990489546,0.5061627626419067
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+4,2.822169876082001,0.7885962842516696,0.466,0.6566491411765343,1.3833691590243975,0.4878523099069879,0.035482335705260236,2.9075103577477908,0.5140416622161865
+5,2.7020480765985466,0.7923407573068518,0.474,0.5970818627551677,1.3436879334364211,0.47061740273257835,0.03348787974758109,2.873120925222422,0.5146781206130981
+6,2.6087558500858012,0.7942488997404515,0.48,0.5566047806938756,1.3110023112125209,0.4533810413927422,0.031495931971485834,2.8461813349954563,0.5153120160102844
+7,2.532438620885357,0.7969572309365286,0.479,0.5287490186277977,1.282332278865059,0.4356444638357324,0.029442310606313284,2.827686327036005,0.5156686305999756
+8,2.4733506085984502,0.7988653733701283,0.477,0.5071544069343354,1.2596597807732952,0.4220377462175285,0.0280294515711994,2.816957353898654,0.5157462954521179
+9,2.431474524956474,0.8007324804825754,0.482,0.495028052422582,1.2418284056358548,0.4107932716133238,0.026725402564454385,2.811522605036939,0.5157893896102905
+10,2.405267930360285,0.8016968105296635,0.478,0.48620905526653396,1.2317293606852069,0.4038246654572766,0.026006951777945448,2.809041553319136,0.5157674551010132

sweep/OCTMNIST/20250825-021124_OCTMNIST/history.json

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+{
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+  "lambda": [
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+    0.4356444638357324,
+    0.4220377462175285,
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+  "test_acc": [
+    0.479,
+    0.472,
+    0.481,
+    0.466,
+    0.474,
+    0.48,
+    0.479,
+    0.477,
+    0.482,
+    0.478
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+  "train_loss": [
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+    2.822169876082001,
+    2.7020480765985466,
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+    2.532438620885357,
+    2.4733506085984502,
+    2.431474524956474,
+    2.405267930360285
+  ]
+}

sweep/OCTMNIST/20250825-021124_OCTMNIST/manifest.json

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+{
+  "class_names": [
+    "choroidal neovascularization",
+    "diabetic macular edema",
+    "drusen",
+    "normal"
+  ],
+  "dataset_name": "OCTMNIST",
+  "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": 15889
+    },
+    "diagnostic_head": {
+      "params": 7681
+    },
+    "encoder": {
+      "params": 429897
+    }
+  },
+  "num_classes": 4,
+  "repo_id": "AbstractPhil/pentachora-multi-channel-frequency-encoded",
+  "results": {
+    "best_epoch": 9,
+    "best_test_accuracy": 0.482
+  },
+  "subdirectory": "sweep/OCTMNIST/20250825-021124_OCTMNIST",
+  "timestamp": "20250825-021124"
+}

sweep/OCTMNIST/20250825-021124_OCTMNIST/tensorboard/events.out.tfevents.1756087230.5def8ea04e29.2559.8

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