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@@ -41,3 +41,4 @@ pentachora-adaptive-encoded/BloodMNIST/20250817-051038/best_confusion_matrix_epo
 pentachora-adaptive-encoded/PathMNIST/20250817-053014/best_confusion_matrix_epoch_46.png filter=lfs diff=lfs merge=lfs -text
 pentachora-adaptive-encoded/PathMNIST/20250817-055333/best_confusion_matrix_epoch_45.png filter=lfs diff=lfs merge=lfs -text
 pentachora-adaptive-encoded/DermaMNIST/20250817-063119/best_confusion_matrix_epoch_26.png filter=lfs diff=lfs merge=lfs -text
+pentachora-adaptive-encoded/DermaMNIST/20250817-063231/best_confusion_matrix_epoch_22.png filter=lfs diff=lfs merge=lfs -text

pentachora-adaptive-encoded/DermaMNIST/20250817-063231/README.md

@@ -0,0 +1,13 @@
+# Pentachora Adaptive Encoded — 20250817-063231
+
+This folder is an immutable snapshot of training artifacts.
+
+**Contents**
+- `weights/*.safetensors` — encoder, constellation, diagnostic head
+- `config.json` — full run configuration
+- `manifest.json` — environment + model sizes + dataset
+- `history.json` / `history.csv` — per-epoch metrics
+- `tensorboard/` + `tensorboard_events.zip` — raw TB event files ("the tensorflow")
+- `accuracy_plot.png` (if available)
+- `best_confusion_matrix_epoch_*.png` (if available)
+- `debug.txt` — quick human-readable summary

pentachora-adaptive-encoded/DermaMNIST/20250817-063231/config.json

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+{
+  "base_dim": 64,
+  "batch_size": 512,
+  "epochs": 50,
+  "hf_repo_id": "AbstractPhil/pentachora-frequency-encoded",
+  "input_dim": 64,
+  "lambda_separation": 0.29514,
+  "loss_weight_scalar": 0.1,
+  "lr": 0.1,
+  "num_classes": 7,
+  "num_heads": 4,
+  "num_pentachoron_pairs": 1,
+  "temp": 0.70486,
+  "weight_decay": 1e-05
+}

pentachora-adaptive-encoded/DermaMNIST/20250817-063231/debug.txt

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+==== DEBUG INFO ====
+Timestamp: 20250817-063231
+Repo: AbstractPhil/pentachora-frequency-encoded
+Device: cuda
+Encoder params: 288392
+Constellation params: 20105
+Diagnostic head params: 8705
+Best test accuracy: 0.686783

pentachora-adaptive-encoded/DermaMNIST/20250817-063231/history.csv

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pentachora-adaptive-encoded/DermaMNIST/20250817-063231/history.json

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pentachora-adaptive-encoded/DermaMNIST/20250817-063231/manifest.json

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+{
+  "class_names": [
+    "actinic keratoses and intraepithelial carcinoma",
+    "basal cell carcinoma",
+    "benign keratosis-like lesions",
+    "dermatofibroma",
+    "melanoma",
+    "melanocytic nevi",
+    "vascular lesions"
+  ],
+  "dataset_name": "DermaMNIST",
+  "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": {
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+    },
+    "diagnostic_head": {
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+    },
+    "encoder": {
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+  },
+  "num_classes": 7,
+  "repo_id": "AbstractPhil/pentachora-frequency-encoded",
+  "results": {
+    "best_test_accuracy": 0.686783042394015
+  },
+  "subdirectory": "pentachora-adaptive-encoded/DermaMNIST/20250817-063231",
+  "timestamp": "20250817-063231"
+}

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