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twinnable-weights

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twinnable-weights
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{
  "version": "v15b",
  "trained_at": "2026-04-01T17:10:36.065134+00:00",
  "sprint": "A15",
  "architecture": "BiLSTM",
  "onnx_path": "tft_weights_v15b_cnc_nuaa.onnx",
  "best_pt": "nuaa_best_v15b.pt",
  "backbone_frozen": false,
  "dataset": "NUAA Ideahouse W1 train (30 runs) / W2 test (18 runs)",
  "doi": "10.21227/3aa1-5e83",
  "paper_ref": "Sayyad et al., Sensors 2023, 23, 5659",
  "feature_method": "WPT db4 level=1 window=512 stride=256",
  "n_wpt_features": 128,
  "n_signals": 8,
  "signals": [
    "axial_force",
    "bending_moment_x",
    "bending_moment_y",
    "torsion",
    "vib1",
    "vib2",
    "spindle_power",
    "spindle_current"
  ],
  "seq_len": 20,
  "total_ref_sec": 3505.35,
  "r2": -2.5786,
  "rmse_normalised": 0.2805,
  "rmse_sec": 983.26,
  "mape": 619.658,
  "nrmse": 0.5464,
  "r2_benchmark": 0.967,
  "badge": "ESTIMATED",
  "feat_mean_path": "nuaa_feat_mean_v15b.npy",
  "feat_std_path": "nuaa_feat_std_v15b.npy",
  "note": "BiLSTM trained from scratch on NUAA WPT features. TFT frozen/unfrozen both failed (R\u00b2=-12.85/-13.87 \u2014 CMAPSS domain mismatch). Inputs: headerless CSVs, positional signal assignment."
}