[FashionMNIST] 20250817-144509 | best_acc=0.9226

.gitattributes

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+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
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sweep/FashionMNIST/20250817-144509_FashionMNIST/README.md

@@ -0,0 +1,10 @@
+# Pentachora Adaptive Encoded — 20250817-144509
+
+**Dataset:** FashionMNIST
+
+**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/FashionMNIST/20250817-144509_FashionMNIST/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/FashionMNIST/20250817-144509_FashionMNIST/history.csv

@@ -0,0 +1,11 @@
+epoch,train_loss,train_acc,test_acc,ce,dual,rose,diag,reg,lambda
+1,4.653958157348633,0.6172666666666666,0.6301,1.9672286722183228,1.841899471282959,0.5954257248560587,0.0701056045303742,2.4239369829813637,0.5089600086212158
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+3,3.348802151743571,0.8728833333333333,0.8881,1.2573772201538085,1.413482350285848,0.37923468308448793,0.02095170522729556,2.96612712504069,0.515481173992157
+4,3.0139718461354574,0.90555,0.9053,1.00656886510849,1.3525404436747233,0.3542528865178426,0.01876138933499654,2.987334963353475,0.5176714658737183
+5,2.778930083847046,0.9202833333333333,0.914,0.8285439507166544,1.3100838118871052,0.33817528990109763,0.017238537941376367,3.0040317426045737,0.5188565850257874
+6,2.609690966542562,0.9294166666666667,0.9082,0.7070984929402669,1.2761380583445232,0.3232443450450897,0.015435020705064138,3.0166658964792887,0.5186582803726196
+7,2.492280019505819,0.9360666666666667,0.9162,0.6266509532610576,1.2502781743367513,0.3114541039943695,0.01392682732741038,3.025041029993693,0.5191509127616882
+8,2.412732266108195,0.9418666666666666,0.9203,0.5750238990783691,1.2305932799021404,0.3028076388835907,0.012900855247179667,3.0301738393147786,0.5189229249954224
+9,2.358030464553833,0.9483166666666667,0.9215,0.5439658950487772,1.2144130625406901,0.29513285228411357,0.012152943393091361,3.033033396021525,0.5188364386558533
+10,2.3331638273874917,0.9510333333333333,0.9226,0.5313937847455342,1.2060867371877035,0.29112322392463685,0.011577872436741988,3.034022889582316,0.518829882144928

sweep/FashionMNIST/20250817-144509_FashionMNIST/history.json

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+{
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+  "dual": [
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+    1.2502781743367513,
+    1.2305932799021404,
+    1.2144130625406901,
+    1.2060867371877035
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+  "lambda": [
+    0.5089600086212158,
+    0.5125111937522888,
+    0.515481173992157,
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+  "rose": [
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+    0.37923468308448793,
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+    0.3114541039943695,
+    0.3028076388835907,
+    0.29513285228411357,
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+  "test_acc": [
+    0.6301,
+    0.8729,
+    0.8881,
+    0.9053,
+    0.914,
+    0.9082,
+    0.9162,
+    0.9203,
+    0.9215,
+    0.9226
+  ],
+  "train_acc": [
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+    0.9483166666666667,
+    0.9510333333333333
+  ],
+  "train_loss": [
+    4.653958157348633,
+    3.779689271291097,
+    3.348802151743571,
+    3.0139718461354574,
+    2.778930083847046,
+    2.609690966542562,
+    2.492280019505819,
+    2.412732266108195,
+    2.358030464553833,
+    2.3331638273874917
+  ]
+}

sweep/FashionMNIST/20250817-144509_FashionMNIST/manifest.json

@@ -0,0 +1,43 @@
+{
+  "class_names": [
+    "fashion-T-shirt/top",
+    "fashion-Trouser",
+    "fashion-Pullover",
+    "fashion-Dress",
+    "fashion-Coat",
+    "fashion-Sandal",
+    "fashion-Shirt",
+    "fashion-Sneaker",
+    "fashion-Bag",
+    "fashion-Ankle boot"
+  ],
+  "dataset_name": "FashionMNIST",
+  "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": 0.9226
+  },
+  "subdirectory": "sweep/FashionMNIST/20250817-144509_FashionMNIST",
+  "timestamp": "20250817-144509"
+}