[breastmnist] 20250817-143503 | best_acc=0.7500

.gitattributes

@@ -331,3 +331,6 @@ DermaMNIST/20250817-142713_DermaMNIST/plots/confusion_epoch_6.png filter=lfs dif
 DermaMNIST/20250817-142713_DermaMNIST/plots/confusion_epoch_7.png filter=lfs diff=lfs merge=lfs -text
 DermaMNIST/20250817-142713_DermaMNIST/plots/confusion_epoch_8.png filter=lfs diff=lfs merge=lfs -text
 DermaMNIST/20250817-142713_DermaMNIST/plots/confusion_epoch_9.png filter=lfs diff=lfs merge=lfs -text
+breastmnist/20250817-143503_breastmnist/plots/best_confusion_epoch_18.png filter=lfs diff=lfs merge=lfs -text
+breastmnist/20250817-143503_breastmnist/plots/best_confusion_epoch_19.png filter=lfs diff=lfs merge=lfs -text
+breastmnist/20250817-143503_breastmnist/plots/best_confusion_epoch_7.png filter=lfs diff=lfs merge=lfs -text

breastmnist/20250817-143503_breastmnist/README.md

@@ -0,0 +1,10 @@
+# Pentachora Adaptive Encoded — 20250817-143503
+
+**Dataset:** breastmnist
+
+**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

breastmnist/20250817-143503_breastmnist/config.json

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+{
+  "augment": false,
+  "base_dim": 56,
+  "batch_size": 64,
+  "channels": 12,
+  "dataset": "breastmnist",
+  "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": 56,
+  "input_channels": 1,
+  "input_dim": 3136,
+  "lambda_separation": 0.391,
+  "loss_weight_scalar": 0.1,
+  "lr": 0.0001,
+  "normalize": true,
+  "note": "",
+  "num_classes": 2,
+  "num_heads": 4,
+  "num_pentachoron_pairs": 1,
+  "per_dataset_norm": true,
+  "proj_dim": null,
+  "seed": 420,
+  "seed_per_dataset": false,
+  "strict_determinism": false,
+  "sweep_all": false,
+  "temp": 0.6,
+  "w_ce": 1.0,
+  "w_diag": 0.1,
+  "w_dual": 1.0,
+  "w_reg": 0.1,
+  "w_rose": 1.0,
+  "weight_decay": 1e-05
+}

breastmnist/20250817-143503_breastmnist/history.csv

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breastmnist/20250817-143503_breastmnist/history.json

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breastmnist/20250817-143503_breastmnist/manifest.json

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+{
+  "class_names": [
+    "malignant",
+    "normal, benign"
+  ],
+  "dataset_name": "breastmnist",
+  "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": 15109
+    },
+    "diagnostic_head": {
+      "params": 7681
+    },
+    "encoder": {
+      "params": 255393
+    }
+  },
+  "num_classes": 2,
+  "repo_id": "AbstractPhil/pentachora-multi-channel-frequency-encoded",
+  "results": {
+    "best_epoch": 17,
+    "best_test_accuracy": 0.75
+  },
+  "subdirectory": "breastmnist/20250817-143503_breastmnist",
+  "timestamp": "20250817-143503"
+}