[EMNIST] 20250825-013647 | best_acc=0.8785

.gitattributes

@@ -549,3 +549,15 @@ sweep/FashionMNIST/20250825-011246_FashionMNIST/plots/confusion_epoch_7.png filt
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sweep/EMNIST/20250825-013647_EMNIST/README.md

@@ -0,0 +1,10 @@
+# Pentachora Adaptive Encoded — 20250825-013647
+
+**Dataset:** EMNIST
+
+**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/EMNIST/20250825-013647_EMNIST/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": 47,
+  "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/EMNIST/20250825-013647_EMNIST/history.csv

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+epoch,train_loss,train_acc,test_acc,ce,dual,rose,diag,reg,lambda
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sweep/EMNIST/20250825-013647_EMNIST/history.json

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+}

sweep/EMNIST/20250825-013647_EMNIST/manifest.json

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+{
+  "class_names": [
+    "emnist-0",
+    "emnist-1",
+    "emnist-2",
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+    "emnist-5",
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+  "dataset_name": "EMNIST",
+  "environment": {
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+    "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": 46769
+    },
+    "diagnostic_head": {
+      "params": 7681
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+    "encoder": {
+      "params": 429897
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+  },
+  "num_classes": 47,
+  "repo_id": "AbstractPhil/pentachora-multi-channel-frequency-encoded",
+  "results": {
+    "best_epoch": 10,
+    "best_test_accuracy": 0.8784574468085107
+  },
+  "subdirectory": "sweep/EMNIST/20250825-013647_EMNIST",
+  "timestamp": "20250825-013647"
+}

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