{
	"_comment": " model parameters",
	"model": {
"type_map":	["O", "H"],
"descriptor" :{
		"type":		"se_e2_a",
		"sel":		[46, 92],
		"rcut_smth":	0.50,
		"rcut":		6.00,
		"neuron":		[4, 8, 16],
		"resnet_dt":	false,
		"axis_neuron":	16,
		"seed":		1,
		"_comment":		" that's all"
},
"fitting_net" : {
		"neuron":		[20, 20, 20],
		"resnet_dt":	true,
		"seed":		1,
		"_comment":		" that's all"
},
"_comment":	" that's all"
	},

	"learning_rate" :{
"type":		"exp",
"decay_steps":	5000,
"start_lr":	0.001,	
"stop_lr":	3.51e-8,
"_comment":	"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":	1,
"limit_pref_v":	1,
"_comment":	" that's all"
	},

	"training" : {
"training_data": {
		"systems":		["init_frz_model/data"],
		"batch_size":	"auto",
		"_comment":		"that's all"
},
"validation_data":{
		"systems":		["init_frz_model/data"],
		"batch_size":	1,
		"numb_btch":	3,
		"_comment":		"that's all"
},
"numb_steps":	1,
"seed":		10,
"disp_file":	"lcurve.out",
"disp_freq":	1,
"save_freq":	1,
"_comment":	"that's all"
	},    

	"_comment":		"that's all"
}

