1{
 2  "math": {
 3    "true_alpha": 0.7,
 4    "fitted_alpha": 0.7,
 5    "true_beta": 0.62,
 6    "fitted_beta": 0.6199999999977361,
 7    "amplitude_abs_error": 0.0,
 8    "width_abs_error": 2.2638557695131567e-12,
 9    "rg_L": [
10      1.25,
11      1.5,
12      2.0,
13      3.0
14    ],
15    "rg_exact_residual": [
16      1.7330834682522382e-16,
17      1.7643127609576256e-16,
18      1.3580559542509378e-16,
19      1.9987542215662536e-16
20    ],
21    "rg_wrong_eta_residual": [
22      0.15916303759626838,
23      0.3061545083459753,
24      0.5730789317403018,
25      1.0350823782691672
26    ],
27    "predictions": [
28      "log peak amplitude slope equals alpha",
29      "log profile width slope equals beta",
30      "matched RG rescaling gives zero residual while eta/L does not"
31    ]
32  },
33  "mini_experiment": {
34    "device": "cpu",
35    "baseline": {
36      "accuracy": 1.0,
37      "loss": 0.03184313699603081
38    },
39    "idea": {
40      "accuracy": 0.776,
41      "loss": 0.41361381113529205
42    },
43    "train_size": 1600,
44    "validation_size": 500
45  }
46}