[FashionMNIST] 20250817-124900 | best_acc=0.9269
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- .gitattributes +21 -0
- FashionMNIST/20250817-124900_FashionMNIST/README.md +10 -0
- FashionMNIST/20250817-124900_FashionMNIST/config.json +40 -0
- FashionMNIST/20250817-124900_FashionMNIST/history.csv +21 -0
- FashionMNIST/20250817-124900_FashionMNIST/history.json +200 -0
- FashionMNIST/20250817-124900_FashionMNIST/manifest.json +43 -0
- FashionMNIST/20250817-124900_FashionMNIST/plots/accuracy.png +0 -0
- FashionMNIST/20250817-124900_FashionMNIST/plots/best_confusion_epoch_19.png +3 -0
- FashionMNIST/20250817-124900_FashionMNIST/plots/best_confusion_epoch_37.png +0 -0
- FashionMNIST/20250817-124900_FashionMNIST/plots/confusion_epoch_1.png +3 -0
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- FashionMNIST/20250817-124900_FashionMNIST/plots/confusion_epoch_11.png +3 -0
- FashionMNIST/20250817-124900_FashionMNIST/plots/confusion_epoch_12.png +3 -0
- FashionMNIST/20250817-124900_FashionMNIST/plots/confusion_epoch_13.png +3 -0
- FashionMNIST/20250817-124900_FashionMNIST/plots/confusion_epoch_14.png +3 -0
- FashionMNIST/20250817-124900_FashionMNIST/plots/confusion_epoch_15.png +3 -0
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- FashionMNIST/20250817-124900_FashionMNIST/plots/confusion_epoch_18.png +3 -0
- FashionMNIST/20250817-124900_FashionMNIST/plots/confusion_epoch_19.png +3 -0
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- FashionMNIST/20250817-124900_FashionMNIST/plots/confusion_epoch_20.png +3 -0
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- FashionMNIST/20250817-124900_FashionMNIST/plots/confusion_epoch_46.png +0 -0
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FashionMNIST/20250817-124900_FashionMNIST/README.md
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# Pentachora Adaptive Encoded — 20250817-124900
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**Dataset:** FashionMNIST
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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
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FashionMNIST/20250817-124900_FashionMNIST/config.json
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{
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"augment": false,
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"base_dim": 56,
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"batch_size": 1024,
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"channels": 12,
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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",
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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": 0.1,
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"lr": 0.002,
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"normalize": true,
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"num_classes": 10,
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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": 42,
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"seed_per_dataset": false,
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"strict_determinism": false,
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"sweep_all": false,
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"temp": 0.7,
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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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}
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FashionMNIST/20250817-124900_FashionMNIST/history.csv
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epoch,train_loss,train_acc,test_acc,ce,dual,rose,diag,reg,lambda
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FashionMNIST/20250817-124900_FashionMNIST/history.json
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