66 lines
985 B
YAML
66 lines
985 B
YAML
basic:
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dataset: METR-LA
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device: cuda:0
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mode: train
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model: Informer
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seed: 2023
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data:
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batch_size: 16
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column_wise: false
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days_per_week: 7
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horizon: 24
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input_dim: 1
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lag: 24
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label_len: 24
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normalizer: std
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num_nodes: 207
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steps_per_day: 288
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test_ratio: 0.2
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val_ratio: 0.2
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model:
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activation: gelu
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seq_len: 24
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label_len: 24
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pred_len: 24
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d_model: 128
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d_ff: 2048
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dropout: 0.1
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e_layers: 2
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d_layers: 1
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n_heads: 8
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output_attention: False
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factor: 5
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attn: prob
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embed: fixed
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freq: h
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distil: true
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mix: true
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enc_in: 1
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dec_in: 1
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c_out: 1
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train:
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batch_size: 16
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debug: false
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early_stop: true
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early_stop_patience: 15
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epochs: 100
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grad_norm: false
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label_len: 24
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log_step: 1000
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loss_func: mae
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lr_decay: true
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lr_decay_rate: 0.3
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lr_decay_step: 5,20,40,70
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lr_init: 0.0001
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mae_thresh: None
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mape_thresh: 0.001
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max_grad_norm: 5
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output_dim: 1
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plot: false
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pred_len: 24
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real_value: true
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weight_decay: 0 |