Update model configuration
Browse files- config.json +8 -81
config.json
CHANGED
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{
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"
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"
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"
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"source_config": "conf/config.yaml",
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"root": {
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"common": {
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"task": "forward",
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"device": "auto",
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"dtype": "float32",
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"seed": 1111,
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"weight_dir": "weight",
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"result_dir": "result"
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},
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"data": {
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"mat_file": "data/AC.mat",
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"n_train": 8000,
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"evaluation_batch_size": 8192
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},
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"model": {
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"hidden_layers": [
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200,
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200,
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200,
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200
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],
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"linear_dim": 10,
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"fuzzy_dim": 4,
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"activation": "tanh"
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},
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"tasks": {
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"forward": {
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"training": {
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"epochs": 10000,
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"lr": 0.001,
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"lbfgs_iters": 0,
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"log_interval": 500
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},
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"loss": {
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"data": 1.0,
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"pde": 1.0
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},
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"pde": {
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"lambda_1": 0.0001,
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"lambda_2": 5.0
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},
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"output": {
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"checkpoint_name": "fpinn_forward.pt",
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"history_name": "fpinn_forward_history.npz",
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"predictions_name": "fpinn_forward.npz",
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"figure_name": "fpinn_forward.png"
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}
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},
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"inverse": {
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"training": {
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"epochs": 10000,
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"lr": 0.001,
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"lbfgs_iters": 0,
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"log_interval": 500
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},
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"loss": {
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"data": 1.0,
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"pde": 1.0
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},
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"pde": {
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"initial_lambda_1": 1.0,
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"initial_lambda_2": 0.0,
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"true_lambda_1": 0.0001,
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"true_lambda_2": 5.0
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},
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"output": {
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"checkpoint_name": "fpinn_inverse.pt",
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"history_name": "fpinn_inverse_history.npz",
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"predictions_name": "fpinn_inverse.npz",
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"figure_name": "fpinn_inverse.png"
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}
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}
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}
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}
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}
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{
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"hidden_layers": [
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200,
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200,
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200,
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200
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],
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"linear_dim": 10,
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"fuzzy_dim": 4,
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"activation": "tanh"
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}
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