New hyperparamter scan results
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@@ -185,14 +185,14 @@ def run_mode_2():
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base_ds = dataloader.SaveDataset(torch.load("dataset.pt"), step=step)
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train_ds, val_ds = split_dataset(base_ds)
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base_name = "GRU"
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cls = models.ThreeInputGRU
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hidden_size = 32
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base_name = "LSTM"
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cls = models.ThreeInputLSTM
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hidden_size = 16
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rnn_size = 64
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for hl in [0, 1, 2, 4]:
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for rl in [2, 3, 4, 5]:
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for dropout in [0.0, 0.1, 0.2, 0.3]:
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for dropout in [0.0, 0.05, 0.1, 0.15]:
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model = cls(
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time_in=2,
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@@ -229,13 +229,13 @@ def run_mode_3():
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results = []
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step = 1
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base_name = "GRU"
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cls = models.ThreeInputGRU
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hidden_size = 32
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base_name = "LSTM"
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cls = models.ThreeInputLSTM
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hidden_size = 16
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rnn_size = 64
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hidden_layers = 1
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rnn_layers = 3
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rnn_dropout = 0.1
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rnn_dropout = 0.0
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for warm in [300, 600, 900, 1800]:
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for pred in [150, 300, 600, 900, 1800]:
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