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[OCTMNIST] 20251004-030437 | best_acc=0.7520

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  1. .gitattributes +91 -0
  2. OCTMNIST/20251004-030437_OCTMNIST/README.md +10 -0
  3. OCTMNIST/20251004-030437_OCTMNIST/config.json +40 -0
  4. OCTMNIST/20251004-030437_OCTMNIST/history.csv +21 -0
  5. OCTMNIST/20251004-030437_OCTMNIST/history.json +200 -0
  6. OCTMNIST/20251004-030437_OCTMNIST/manifest.json +37 -0
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OCTMNIST/20251004-030437_OCTMNIST/README.md ADDED
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+ # Pentachora Adaptive Encoded — 20251004-030437
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+
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+ **Dataset:** OCTMNIST
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+
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+ **Contents**
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+ - `weights/*.safetensors` — encoder, constellation, diagnostic head
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+ - `config.json`, `manifest.json`
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+ - `history.json` / `history.csv`
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+ - `tensorboard/` (and `tensorboard_events.zip`)
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+ - `plots/` — accuracy, loss, λ, confusion
OCTMNIST/20251004-030437_OCTMNIST/config.json ADDED
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+ {
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+ "augment": true,
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+ "base_dim": 56,
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+ "batch_size": 1024,
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+ "channels": 24,
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+ "dataset": "FashionMNIST",
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+ "deterministic": true,
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+ "deterministic_cublas": false,
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+ "epochs": 20,
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+ "hf_dataset_dir_template": "{dataset}",
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+ "hf_preserve_case": true,
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+ "hf_repo_id": "AbstractPhil/pentachora-multi-channel-frequency-encoded-2",
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+ "hf_run_dir_template": "{ts}_{dataset}",
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+ "hf_subdir_root": "",
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+ "hf_weight_suffix_dataset": true,
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+ "img_channels": "auto",
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+ "img_size": 28,
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+ "input_channels": 1,
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+ "input_dim": 784,
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+ "lambda_separation": 0.391,
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+ "loss_weight_scalar": 1.0,
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+ "lr": 0.001,
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+ "normalize": true,
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+ "num_classes": 4,
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+ "num_heads": 2,
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+ "num_pentachoron_pairs": 2,
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+ "per_dataset_norm": true,
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+ "proj_dim": null,
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+ "seed": 420,
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+ "seed_per_dataset": false,
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+ "strict_determinism": false,
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+ "sweep_all": true,
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+ "temp": 0.5,
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+ "w_ce": 1.0,
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+ "w_diag": 0.1,
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+ "w_dual": 1.0,
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+ "w_reg": 0.1,
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+ "w_rose": 1.0,
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+ "weight_decay": 1e-05
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+ }
OCTMNIST/20251004-030437_OCTMNIST/history.csv ADDED
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+ epoch,train_loss,train_acc,test_acc,ce,dual,rose,diag,reg,lambda
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+ 1,5.109352654697641,0.4452845286580424,0.542,1.2008249843323706,3.0769008448624926,0.7243312803347611,0.060187006353201046,1.0127684448927077,0.631394624710083
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+ 6,3.2340080235289297,0.8467125578341558,0.666,0.4677213647288353,2.176777945005374,0.4968723885052552,0.03546121394646201,0.8909023040997602,0.6745641827583313
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+ 7,3.1360101056460685,0.8515444668998841,0.673,0.4427300536192399,2.124885938367084,0.4774677855411765,0.03370293072102019,0.8755603533481272,0.6796258091926575
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