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+++ b/FashionMNIST/20251004-022237_FashionMNIST/README.md @@ -0,0 +1,10 @@ +# Pentachora Adaptive Encoded — 20251004-022237 + +**Dataset:** FashionMNIST + +**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 diff --git a/FashionMNIST/20251004-022237_FashionMNIST/config.json b/FashionMNIST/20251004-022237_FashionMNIST/config.json new file mode 100644 index 0000000000000000000000000000000000000000..4bbc6cfb189e5f4137883d7204960d637fb309b1 --- /dev/null +++ b/FashionMNIST/20251004-022237_FashionMNIST/config.json @@ -0,0 +1,40 @@ +{ + "augment": true, + "base_dim": 700, + "batch_size": 1024, + "channels": 24, + "dataset": "FashionMNIST", + "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-2", + "hf_run_dir_template": "{ts}_{dataset}", + "hf_subdir_root": "", + "hf_weight_suffix_dataset": true, + "img_channels": "auto", + "img_size": 28, + "input_channels": 1, + "input_dim": 784, + "lambda_separation": 0.391, + "loss_weight_scalar": 1.0, + "lr": 0.005, + "normalize": true, + "num_classes": 10, + "num_heads": 4, + "num_pentachoron_pairs": 4, + "per_dataset_norm": true, + "proj_dim": null, + "seed": 420, + "seed_per_dataset": false, + "strict_determinism": false, + "sweep_all": false, + "temp": 0.5, + "w_ce": 0.5, + "w_diag": 0.1, + "w_dual": 1.0, + "w_reg": 0.2, + "w_rose": 1.0, + "weight_decay": 1e-05 +} \ No newline at end of file diff --git a/FashionMNIST/20251004-022237_FashionMNIST/history.csv b/FashionMNIST/20251004-022237_FashionMNIST/history.csv new file mode 100644 index 0000000000000000000000000000000000000000..60b23d9e737cac6b9086509325c38ff3cde40432 --- /dev/null +++ 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