{ "schemaVersion": 1, "lessonId": "recovery-06", "contentHash": "2045fd46cce599b92c2b22fca98a4f64f22b5ca7fa8a52502d6adfac11e0dfdc", "executedAt": "2026-10-20T10:47:02.065912+00:00", "environment": { "backend": "cpu", "deviceCount": 1, "python": "3.14.3", "jax": "0.9.2", "numpy": "2.4.4", "matplotlib": "3.10.8" }, "stdout": "Validation MSE by learning rate: {0.02: 0.11994461715221405, 0.15: 5.049471951679152e-10}\nVerified 30 logged steps per run; selected and reloaded the better validation candidate.\nValidation difference: 0.11994461664726686\nWrong zero model validation MSE: 6.0\nChanged target changes dataset identity.\nPASS: recovery-06\n", "notebookCells": [ { "sourceHash": "f6b66379262f139d1d7eefafa6fe078fe7bf899ed96a33aabcc903ed8596a629", "outputs": [] }, { "sourceHash": "08c17a6f0ccf71815524cff1da739f8017efc48107dac044947e7f836068efc2", "outputs": [] }, { "sourceHash": "09fcb9a8db35f3885a178ba33ca15fb44b27b51bb17e95c25c5a9a98d376d4d8", "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "2026/10/20 03:46:59 INFO mlflow.store.db.utils: Creating initial MLflow database tables...\n", "2026/10/20 03:46:59 INFO mlflow.store.db.utils: Updating database tables\n", "\r", "Downloading artifacts: 0%| | 0/1 [00:00