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config_example.json
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54 lines (54 loc) · 1.41 KB
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{
"version": "112bbedebdaecf59fb18e11c929080fb2f358246",
"dataset": "user_data",
"source_model": null,
"target": "target",
"atom_features": "cgcnn",
"neighbor_strategy": "k-nearest",
"id_tag": "jid",
"random_seed": 123,
"classification_threshold": null,
"n_val": null,
"n_test": null,
"n_train": null,
"train_ratio": 0.80,
"val_ratio": 0.10,
"test_ratio": 0.10,
"target_multiplication_factor": null,
"epochs": 300,
"batch_size": 64,
"weight_decay": 1e-05,
"learning_rate": 0.001,
"filename": "sample",
"warmup_steps": 2000,
"criterion": "mse",
"optimizer": "adamw",
"scheduler": "onecycle",
"pin_memory": false,
"save_dataloader": false,
"write_checkpoint": true,
"write_predictions": true,
"store_outputs": true,
"progress": true,
"log_tensorboard": false,
"standard_scalar_and_pca": false,
"use_canonize": true,
"num_workers": 0,
"cutoff": 8.0,
"max_neighbors": 12,
"keep_data_order": false,
"model": {
"name": "alignn",
"alignn_layers": 4,
"gcn_layers": 4,
"atom_input_features": 92,
"edge_input_features": 80,
"triplet_input_features": 40,
"embedding_features": 64,
"hidden_features": 256,
"output_features": 1,
"link": "identity",
"zero_inflated": false,
"classification": false
}
}