config_GRU.json

{
    "name": "METR-LA_GRU",
    "device": "cuda:0",
    "dataset": {
        "name": "METR-LA",
        "graph_file": "data/adj_mx.pkl",
        "dataset_dir": "data/METR-LA"
    },
    "arch": {
        "type": "GRUSeq2Seq",
        "args": {
			"batch_size": 64,
            "hidden_size": 64,
            "num_nodes": 207,
			"dec_input_dim": 1,
            "enc_input_dim": 2,
			"output_dim": 1
		}
    },
    "optimizer": {
        "type": "Adam",
        "args":{
            "lr": 0.01,
            "weight_decay": 0,
			"eps": 1.0e-4,
            "amsgrad": true
        }
    },
    "loss": {
		"type": "masked_mae_loss",
		"args":{
			"null_val": 0.0
		}
	},
    "metrics": [
        "masked_mae_np", "masked_mape_np", "masked_rmse_np"
    ],
    "lr_scheduler": {
        "type": "MultiStepLR",
        "args": {
			"milestones": [5, 10, 20, 40, 70],
            "gamma": 0.5
        }
    },
    "trainer": {
        "epochs": 100,
		"cl_decay_steps": 2000,
        "save_dir": "saved/",
        "save_period": 1,
        "verbosity": 2,
        "max_grad_norm": 5,
        "monitor": "min val_loss",
        "early_stop": 30,
        "log_steps": 80,
        "tensorboard": true
    }
}