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[FashionMNIST] 20251004-022237 | best_acc=0.9121

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  1. .gitattributes +109 -0
  2. FashionMNIST/20251004-022237_FashionMNIST/README.md +10 -0
  3. FashionMNIST/20251004-022237_FashionMNIST/config.json +40 -0
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FashionMNIST/20251004-022237_FashionMNIST/README.md ADDED
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+ # Pentachora Adaptive Encoded — 20251004-022237
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+
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+ **Dataset:** FashionMNIST
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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
FashionMNIST/20251004-022237_FashionMNIST/config.json ADDED
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+ {
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+ "augment": true,
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+ "base_dim": 700,
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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": 0.005,
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+ "normalize": true,
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+ "num_classes": 10,
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+ "num_heads": 4,
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+ "num_pentachoron_pairs": 4,
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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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