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input.json
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input.json
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{
"model": {
"type_map": [
"Cu"
],
"descriptor": {
"type": "se_e2_a",
"sel": [
152
],
"rcut_smth": 0.5,
"rcut": 6.0,
"neuron": [
25,
50,
100
],
"resnet_dt": false,
"axis_neuron": 16,
"seed": 1,
"precision": "float32",
"activation_function": "tanh",
"type_one_side": false,
"trainable": true,
"exclude_types": [],
"set_davg_zero": false
},
"fitting_net": {
"neuron": [
240,
240,
240
],
"resnet_dt": true,
"seed": 1,
"precision": "float32",
"type": "ener",
"numb_fparam": 0,
"numb_aparam": 0,
"activation_function": "tanh",
"trainable": true,
"rcond": 0.001,
"atom_ener": []
},
"data_stat_nbatch": 10,
"data_stat_protect": 0.01,
"data_bias_nsample": 10
},
"learning_rate": {
"type": "exp",
"decay_steps": 5000,
"start_lr": 0.001,
"stop_lr": 3.51e-08,
"scale_by_worker": "linear"
},
"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,
"start_pref_ae": 0.0,
"limit_pref_ae": 0.0,
"start_pref_pf": 0.0,
"limit_pref_pf": 0.0,
"enable_atom_ener_coeff": false
},
"training": {
"training_data": {
"systems": "../cu_train.hdf5",
"batch_size": "auto",
"set_prefix": "set",
"auto_prob": "prob_sys_size",
"sys_probs": null
},
"validation_data": {
"systems": "../cu_test.hdf5",
"batch_size": 1,
"numb_btch": 3,
"set_prefix": "set",
"auto_prob": "prob_sys_size",
"sys_probs": null
},
"numb_steps": 1000000,
"seed": 10,
"disp_file": "lcurve.out",
"disp_freq": 100,
"save_freq": 1000,
"save_ckpt": "model.ckpt",
"disp_training": true,
"time_training": true,
"profiling": false,
"profiling_file": "timeline.json",
"enable_profiler": false,
"tensorboard": false,
"tensorboard_log_dir": "log",
"tensorboard_freq": 1
}
}