{
  "_comment1": " model parameters",
  "model": {
    "type_map": [
      "O",
      "H"
    ],
    "descriptor": {
      "type": "se_atten_v2",
      "sel": 120,
      "rcut_smth": 0.50,
      "rcut": 6.00,
      "neuron": [
        25,
        50,
        100
      ],
      "resnet_dt": false,
      "axis_neuron": 16,
      "seed": 1,
      "attn": 128,
      "attn_layer": 2,
      "attn_dotr": true,
      "attn_mask": false,
      "precision": "float64",
      "_comment2": " that's all"
    },
    "fitting_net": {
      "neuron": [
        240,
        240,
        240
      ],
      "resnet_dt": true,
      "precision": "float64",
      "seed": 1,
      "_comment3": " that's all"
    },
    "_comment4": " that's all"
  },

  "learning_rate": {
    "type": "exp",
    "decay_steps": 5000,
    "start_lr": 0.001,
    "stop_lr": 3.51e-8,
    "_comment5": "that's all"
  },

  "loss": {
    "type": "ener",
    "start_pref_e": 0.02,
    "limit_pref_e": 1,
    "start_pref_f": 1000,
    "limit_pref_f": 1,
    "start_pref_v": 0,
    "limit_pref_v": 0,
    "_comment6": " that's all"
  },

  "training": {
    "training_data": {
      "systems": [
        "../data/data_0/",
        "../data/data_1/",
        "../data/data_2/"
      ],
      "batch_size": "auto",
      "_comment7": "that's all"
    },
    "validation_data": {
      "systems": [
        "../data/data_3"
      ],
      "batch_size": 1,
      "numb_btch": 3,
      "_comment8": "that's all"
    },
    "numb_steps": 1000000,
    "seed": 10,
    "disp_file": "lcurve.out",
    "disp_freq": 100,
    "save_freq": 1000,
    "_comment9": "that's all"
  },

  "_comment10": "that's all"
}