How should the loss in input.json be set

[1782552114]

Here are my parameters, the model after training the potential function is not ideal，The system is a metal system
{
"_comment": " model parameters",
"model": {
"type_map": [],
"descriptor": {
"type": "se_e2_a",
"sel": "auto",
"rcut_smth": 0.50,
"rcut": 6.50,
"neuron": [64, 128, 256],
"resnet_dt": false,
"axis_neuron": 32,
"seed": 1
},
"fitting_net": {
"neuron": [128,256,512],
"resnet_dt": true,
"seed": 1
}
},

"learning_rate": {
    "type": "exp",
    "decay_steps": 5000,
    "start_lr": 0.001,
    "stop_lr": 1e-8
},

"loss": {
    "type": "ener",
    "start_pref_e": 0.02,
    "limit_pref_e": 1.0,
    "start_pref_f": 1000,
    "limit_pref_f": 1,
    "start_pref_v": 0.02,
    "limit_pref_v": 1.0
},

"training": {
    "training_data": {
        "systems": [],
        "batch_size": "auto",
        "auto_prob": "prob_sys_size"
    },
    "validation_data": {
        "systems": [],
        "batch_size": "auto",
        "numb_btch": 3
    },
    "numb_steps": 500000,
    "seed": 10,
    "disp_file": "lcurve.out",
    "disp_freq": 1000,
    "save_freq": 10000
}

}

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