CBraMod-MI-CoreML / training_meta.json
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Production MI engine: wide-window fine-tuned CBraMod (grouped-CV 0.784 zero-calibration; parity 7e-6 abs, 210/210 decisions)
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{
"windows": 4606,
"subjects": 109,
"window_s": [
1.0,
4.5
],
"recipe": "AdamW back 3e-5/head 1e-3, wd 0.05, bs 64, 12 ep, cosine, ls 0.1, seed 0",
"grouped_cv_estimate": 0.784,
"train_sanity_acc": 0.8323925314806774,
"base": "braindecode/cbramod-pretrained (BSD-3-Clause)",
"data": "PhysioNet EEGBCI runs 4/8/12, 109 subjects, 14 EPOC X channels"
}