[FashionMNIST] 20250817-125216 | best_acc=0.9291

.gitattributes

@@ -75,3 +75,24 @@ FashionMNIST/20250817-124900_FashionMNIST/plots/confusion_epoch_6.png filter=lfs
 FashionMNIST/20250817-124900_FashionMNIST/plots/confusion_epoch_7.png filter=lfs diff=lfs merge=lfs -text
 FashionMNIST/20250817-124900_FashionMNIST/plots/confusion_epoch_8.png filter=lfs diff=lfs merge=lfs -text
 FashionMNIST/20250817-124900_FashionMNIST/plots/confusion_epoch_9.png filter=lfs diff=lfs merge=lfs -text
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+FashionMNIST/20250817-125216_FashionMNIST/plots/confusion_epoch_7.png filter=lfs diff=lfs merge=lfs -text
+FashionMNIST/20250817-125216_FashionMNIST/plots/confusion_epoch_8.png filter=lfs diff=lfs merge=lfs -text
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FashionMNIST/20250817-125216_FashionMNIST/README.md

@@ -0,0 +1,10 @@
+# Pentachora Adaptive Encoded — 20250817-125216
+
+**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

FashionMNIST/20250817-125216_FashionMNIST/config.json

@@ -0,0 +1,40 @@
+{
+  "augment": false,
+  "base_dim": 56,
+  "batch_size": 1024,
+  "channels": 12,
+  "dataset": "FashionMNIST",
+  "deterministic": true,
+  "deterministic_cublas": false,
+  "epochs": 20,
+  "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": "",
+  "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": 0.002,
+  "normalize": false,
+  "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": false,
+  "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
+}

FashionMNIST/20250817-125216_FashionMNIST/history.csv

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FashionMNIST/20250817-125216_FashionMNIST/history.json

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FashionMNIST/20250817-125216_FashionMNIST/manifest.json

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+{
+  "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": 255393
+    }
+  },
+  "num_classes": 10,
+  "repo_id": "AbstractPhil/pentachora-multi-channel-frequency-encoded",
+  "results": {
+    "best_epoch": 19,
+    "best_test_accuracy": 0.9291
+  },
+  "subdirectory": "FashionMNIST/20250817-125216_FashionMNIST",
+  "timestamp": "20250817-125216"
+}