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1 change: 1 addition & 0 deletions config/ablation/ECL_script/TEFN_ac_p192.json
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{"task_name": "long_term_forecast", "is_training": 1, "model_id": "ECL_96_192", "model": "TEFN_ac", "data": "custom", "root_path": "./dataset/electricity/", "data_path": "electricity.csv", "features": "M", "target": "OT", "freq": "h", "checkpoints": "./out/checkpoints/", "seq_len": 96, "label_len": 48, "pred_len": 192, "seasonal_patterns": "Monthly", "inverse": false, "mask_rate": 0.25, "anomaly_ratio": 0.25, "top_k": 5, "num_kernels": 6, "enc_in": 321, "dec_in": 321, "c_out": 321, "d_model": 256, "n_heads": 8, "e_layers": 2, "d_layers": 1, "d_ff": 512, "moving_avg": 25, "factor": 3, "distil": true, "dropout": 0.1, "embed": "timeF", "activation": "gelu", "output_attention": false, "channel_independence": 0, "conv_kernel": null, "num_workers": 10, "itr": 1, "train_epochs": 10, "batch_size": 32, "patience": 3, "learning_rate": 0.01, "des": "Exp", "loss": "MSE", "lradj": "type1", "use_amp": false, "use_gpu": true, "gpu": 0, "use_multi_gpu": false, "devices": "0,1,2,3", "p_hidden_dims": [128, 128], "p_hidden_layers": 2}
1 change: 1 addition & 0 deletions config/ablation/ECL_script/TEFN_ac_p336.json
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{"task_name": "long_term_forecast", "is_training": 1, "model_id": "ECL_96_336", "model": "TEFN_ac", "data": "custom", "root_path": "./dataset/electricity/", "data_path": "electricity.csv", "features": "M", "target": "OT", "freq": "h", "checkpoints": "./out/checkpoints/", "seq_len": 96, "label_len": 48, "pred_len": 336, "seasonal_patterns": "Monthly", "inverse": false, "mask_rate": 0.25, "anomaly_ratio": 0.25, "top_k": 5, "num_kernels": 6, "enc_in": 321, "dec_in": 321, "c_out": 321, "d_model": 256, "n_heads": 8, "e_layers": 1, "d_layers": 1, "d_ff": 512, "moving_avg": 25, "factor": 3, "distil": true, "dropout": 0.1, "embed": "timeF", "activation": "gelu", "output_attention": false, "channel_independence": 0, "conv_kernel": null, "num_workers": 10, "itr": 1, "train_epochs": 10, "batch_size": 32, "patience": 3, "learning_rate": 0.05, "des": "Exp", "loss": "MSE", "lradj": "type1", "use_amp": false, "use_gpu": true, "gpu": 0, "use_multi_gpu": false, "devices": "0,1,2,3", "p_hidden_dims": [128, 128], "p_hidden_layers": 2}
1 change: 1 addition & 0 deletions config/ablation/ECL_script/TEFN_ac_p720.json
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{"task_name": "long_term_forecast", "is_training": 1, "model_id": "ECL_96_720", "model": "TEFN_ac", "data": "custom", "root_path": "./dataset/electricity/", "data_path": "electricity.csv", "features": "M", "target": "OT", "freq": "h", "checkpoints": "./out/checkpoints/", "seq_len": 96, "label_len": 48, "pred_len": 720, "seasonal_patterns": "Monthly", "inverse": false, "mask_rate": 0.25, "anomaly_ratio": 0.25, "top_k": 5, "num_kernels": 6, "enc_in": 321, "dec_in": 321, "c_out": 321, "d_model": 256, "n_heads": 8, "e_layers": 3, "d_layers": 1, "d_ff": 512, "moving_avg": 25, "factor": 3, "distil": true, "dropout": 0.1, "embed": "timeF", "activation": "gelu", "output_attention": false, "channel_independence": 0, "conv_kernel": null, "num_workers": 10, "itr": 1, "train_epochs": 10, "batch_size": 32, "patience": 3, "learning_rate": 0.01, "des": "Exp", "loss": "MSE", "lradj": "type1", "use_amp": false, "use_gpu": true, "gpu": 0, "use_multi_gpu": false, "devices": "0,1,2,3", "p_hidden_dims": [128, 128], "p_hidden_layers": 2}
1 change: 1 addition & 0 deletions config/ablation/ECL_script/TEFN_ac_p96.json
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{"task_name": "long_term_forecast", "is_training": 1, "model_id": "ECL_96_96", "model": "TEFN_ac", "data": "custom", "root_path": "./dataset/electricity/", "data_path": "electricity.csv", "features": "M", "target": "OT", "freq": "h", "checkpoints": "./out/checkpoints/", "seq_len": 96, "label_len": 48, "pred_len": 96, "seasonal_patterns": "Monthly", "inverse": false, "mask_rate": 0.25, "anomaly_ratio": 0.25, "top_k": 5, "num_kernels": 6, "enc_in": 321, "dec_in": 321, "c_out": 321, "d_model": 256, "n_heads": 8, "e_layers": 0, "d_layers": 1, "d_ff": 512, "moving_avg": 25, "factor": 3, "distil": true, "dropout": 0.1, "embed": "timeF", "activation": "gelu", "output_attention": false, "channel_independence": 0, "conv_kernel": null, "num_workers": 10, "itr": 1, "train_epochs": 10, "batch_size": 32, "patience": 3, "learning_rate": 0.05, "des": "Exp", "loss": "MSE", "lradj": "type1", "use_amp": false, "use_gpu": true, "gpu": 0, "use_multi_gpu": false, "devices": "0,1,2,3", "p_hidden_dims": [128, 128], "p_hidden_layers": 2}
1 change: 1 addition & 0 deletions config/ablation/ECL_script/TEFN_at_p192.json
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{"task_name": "long_term_forecast", "is_training": 1, "model_id": "ECL_96_192", "model": "TEFN_at", "data": "custom", "root_path": "./dataset/electricity/", "data_path": "electricity.csv", "features": "M", "target": "OT", "freq": "h", "checkpoints": "./out/checkpoints/", "seq_len": 96, "label_len": 48, "pred_len": 192, "seasonal_patterns": "Monthly", "inverse": false, "mask_rate": 0.25, "anomaly_ratio": 0.25, "top_k": 5, "num_kernels": 6, "enc_in": 321, "dec_in": 321, "c_out": 321, "d_model": 256, "n_heads": 8, "e_layers": 2, "d_layers": 1, "d_ff": 512, "moving_avg": 25, "factor": 3, "distil": true, "dropout": 0.1, "embed": "timeF", "activation": "gelu", "output_attention": false, "channel_independence": 0, "conv_kernel": null, "num_workers": 10, "itr": 1, "train_epochs": 10, "batch_size": 32, "patience": 3, "learning_rate": 0.01, "des": "Exp", "loss": "MSE", "lradj": "type1", "use_amp": false, "use_gpu": true, "gpu": 0, "use_multi_gpu": false, "devices": "0,1,2,3", "p_hidden_dims": [128, 128], "p_hidden_layers": 2}
1 change: 1 addition & 0 deletions config/ablation/ECL_script/TEFN_at_p336.json
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{"task_name": "long_term_forecast", "is_training": 1, "model_id": "ECL_96_336", "model": "TEFN_at", "data": "custom", "root_path": "./dataset/electricity/", "data_path": "electricity.csv", "features": "M", "target": "OT", "freq": "h", "checkpoints": "./out/checkpoints/", "seq_len": 96, "label_len": 48, "pred_len": 336, "seasonal_patterns": "Monthly", "inverse": false, "mask_rate": 0.25, "anomaly_ratio": 0.25, "top_k": 5, "num_kernels": 6, "enc_in": 321, "dec_in": 321, "c_out": 321, "d_model": 256, "n_heads": 8, "e_layers": 1, "d_layers": 1, "d_ff": 512, "moving_avg": 25, "factor": 3, "distil": true, "dropout": 0.1, "embed": "timeF", "activation": "gelu", "output_attention": false, "channel_independence": 0, "conv_kernel": null, "num_workers": 10, "itr": 1, "train_epochs": 10, "batch_size": 32, "patience": 3, "learning_rate": 0.05, "des": "Exp", "loss": "MSE", "lradj": "type1", "use_amp": false, "use_gpu": true, "gpu": 0, "use_multi_gpu": false, "devices": "0,1,2,3", "p_hidden_dims": [128, 128], "p_hidden_layers": 2}
1 change: 1 addition & 0 deletions config/ablation/ECL_script/TEFN_at_p720.json
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{"task_name": "long_term_forecast", "is_training": 1, "model_id": "ECL_96_720", "model": "TEFN_at", "data": "custom", "root_path": "./dataset/electricity/", "data_path": "electricity.csv", "features": "M", "target": "OT", "freq": "h", "checkpoints": "./out/checkpoints/", "seq_len": 96, "label_len": 48, "pred_len": 720, "seasonal_patterns": "Monthly", "inverse": false, "mask_rate": 0.25, "anomaly_ratio": 0.25, "top_k": 5, "num_kernels": 6, "enc_in": 321, "dec_in": 321, "c_out": 321, "d_model": 256, "n_heads": 8, "e_layers": 3, "d_layers": 1, "d_ff": 512, "moving_avg": 25, "factor": 3, "distil": true, "dropout": 0.1, "embed": "timeF", "activation": "gelu", "output_attention": false, "channel_independence": 0, "conv_kernel": null, "num_workers": 10, "itr": 1, "train_epochs": 10, "batch_size": 32, "patience": 3, "learning_rate": 0.01, "des": "Exp", "loss": "MSE", "lradj": "type1", "use_amp": false, "use_gpu": true, "gpu": 0, "use_multi_gpu": false, "devices": "0,1,2,3", "p_hidden_dims": [128, 128], "p_hidden_layers": 2}
1 change: 1 addition & 0 deletions config/ablation/ECL_script/TEFN_at_p96.json
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{"task_name": "long_term_forecast", "is_training": 1, "model_id": "ECL_96_96", "model": "TEFN_at", "data": "custom", "root_path": "./dataset/electricity/", "data_path": "electricity.csv", "features": "M", "target": "OT", "freq": "h", "checkpoints": "./out/checkpoints/", "seq_len": 96, "label_len": 48, "pred_len": 96, "seasonal_patterns": "Monthly", "inverse": false, "mask_rate": 0.25, "anomaly_ratio": 0.25, "top_k": 5, "num_kernels": 6, "enc_in": 321, "dec_in": 321, "c_out": 321, "d_model": 256, "n_heads": 8, "e_layers": 0, "d_layers": 1, "d_ff": 512, "moving_avg": 25, "factor": 3, "distil": true, "dropout": 0.1, "embed": "timeF", "activation": "gelu", "output_attention": false, "channel_independence": 0, "conv_kernel": null, "num_workers": 10, "itr": 1, "train_epochs": 10, "batch_size": 32, "patience": 3, "learning_rate": 0.05, "des": "Exp", "loss": "MSE", "lradj": "type1", "use_amp": false, "use_gpu": true, "gpu": 0, "use_multi_gpu": false, "devices": "0,1,2,3", "p_hidden_dims": [128, 128], "p_hidden_layers": 2}
1 change: 1 addition & 0 deletions config/ablation/ETT_script/TEFN_ac_ETTh1_p192.json
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{"task_name": "long_term_forecast", "is_training": 1, "model_id": "ETTh1_96_192", "model": "TEFN_ac", "data": "ETTh1", "root_path": "./dataset/ETT-small/", "data_path": "ETTh1.csv", "features": "M", "target": "OT", "freq": "h", "checkpoints": "./out/checkpoints/", "seq_len": 96, "label_len": 48, "pred_len": 192, "seasonal_patterns": "Monthly", "inverse": false, "mask_rate": 0.25, "anomaly_ratio": 0.25, "top_k": 5, "num_kernels": 6, "enc_in": 7, "dec_in": 7, "c_out": 7, "d_model": 16, "n_heads": 8, "e_layers": 4, "d_layers": 1, "d_ff": 32, "moving_avg": 25, "factor": 3, "distil": true, "dropout": 0.1, "embed": "timeF", "activation": "gelu", "output_attention": false, "channel_independence": 0, "conv_kernel": null, "num_workers": 10, "itr": 1, "train_epochs": 10, "batch_size": 32, "patience": 3, "learning_rate": 0.05, "des": "Exp", "loss": "MSE", "lradj": "type1", "use_amp": false, "use_gpu": true, "gpu": 0, "use_multi_gpu": false, "devices": "0,1,2,3", "p_hidden_dims": [128, 128], "p_hidden_layers": 2}
1 change: 1 addition & 0 deletions config/ablation/ETT_script/TEFN_ac_ETTh1_p336.json
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{"task_name": "long_term_forecast", "is_training": 1, "model_id": "ETTh1_96_336", "model": "TEFN_ac", "data": "ETTh1", "root_path": "./dataset/ETT-small/", "data_path": "ETTh1.csv", "features": "M", "target": "OT", "freq": "h", "checkpoints": "./out/checkpoints/", "seq_len": 96, "label_len": 48, "pred_len": 336, "seasonal_patterns": "Monthly", "inverse": false, "mask_rate": 0.25, "anomaly_ratio": 0.25, "top_k": 5, "num_kernels": 6, "enc_in": 7, "dec_in": 7, "c_out": 7, "d_model": 16, "n_heads": 8, "e_layers": 1, "d_layers": 1, "d_ff": 32, "moving_avg": 25, "factor": 3, "distil": true, "dropout": 0.1, "embed": "timeF", "activation": "gelu", "output_attention": false, "channel_independence": 0, "conv_kernel": null, "num_workers": 10, "itr": 1, "train_epochs": 10, "batch_size": 32, "patience": 3, "learning_rate": 0.01, "des": "Exp", "loss": "MSE", "lradj": "type1", "use_amp": false, "use_gpu": true, "gpu": 0, "use_multi_gpu": false, "devices": "0,1,2,3", "p_hidden_dims": [128, 128], "p_hidden_layers": 2}
1 change: 1 addition & 0 deletions config/ablation/ETT_script/TEFN_ac_ETTh1_p720.json
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{"task_name": "long_term_forecast", "is_training": 1, "model_id": "ETTh1_96_720", "model": "TEFN_ac", "data": "ETTh1", "root_path": "./dataset/ETT-small/", "data_path": "ETTh1.csv", "features": "M", "target": "OT", "freq": "h", "checkpoints": "./out/checkpoints/", "seq_len": 96, "label_len": 48, "pred_len": 720, "seasonal_patterns": "Monthly", "inverse": false, "mask_rate": 0.25, "anomaly_ratio": 0.25, "top_k": 5, "num_kernels": 6, "enc_in": 7, "dec_in": 7, "c_out": 7, "d_model": 16, "n_heads": 8, "e_layers": 1, "d_layers": 1, "d_ff": 32, "moving_avg": 25, "factor": 3, "distil": true, "dropout": 0.1, "embed": "timeF", "activation": "gelu", "output_attention": false, "channel_independence": 0, "conv_kernel": null, "num_workers": 10, "itr": 1, "train_epochs": 10, "batch_size": 32, "patience": 3, "learning_rate": 0.05, "des": "Exp", "loss": "MSE", "lradj": "type1", "use_amp": false, "use_gpu": true, "gpu": 0, "use_multi_gpu": false, "devices": "0,1,2,3", "p_hidden_dims": [128, 128], "p_hidden_layers": 2}
1 change: 1 addition & 0 deletions config/ablation/ETT_script/TEFN_ac_ETTh1_p96.json
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{"task_name": "long_term_forecast", "is_training": 1, "model_id": "ETTh1_96_96", "model": "TEFN_ac", "data": "ETTh1", "root_path": "./dataset/ETT-small/", "data_path": "ETTh1.csv", "features": "M", "target": "OT", "freq": "h", "checkpoints": "./out/checkpoints/", "seq_len": 96, "label_len": 48, "pred_len": 96, "seasonal_patterns": "Monthly", "inverse": false, "mask_rate": 0.25, "anomaly_ratio": 0.25, "top_k": 5, "num_kernels": 6, "enc_in": 7, "dec_in": 7, "c_out": 7, "d_model": 16, "n_heads": 8, "e_layers": 2, "d_layers": 1, "d_ff": 32, "moving_avg": 25, "factor": 3, "distil": true, "dropout": 0.1, "embed": "timeF", "activation": "gelu", "output_attention": false, "channel_independence": 0, "conv_kernel": null, "num_workers": 10, "itr": 1, "train_epochs": 10, "batch_size": 32, "patience": 3, "learning_rate": 0.01, "des": "Exp", "loss": "MSE", "lradj": "type1", "use_amp": false, "use_gpu": true, "gpu": 0, "use_multi_gpu": false, "devices": "0,1,2,3", "p_hidden_dims": [128, 128], "p_hidden_layers": 2}
1 change: 1 addition & 0 deletions config/ablation/ETT_script/TEFN_ac_ETTh2_p192.json
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{"task_name": "long_term_forecast", "is_training": 1, "model_id": "ETTh2_96_192", "model": "TEFN_ac", "data": "ETTh2", "root_path": "./dataset/ETT-small/", "data_path": "ETTh2.csv", "features": "M", "target": "OT", "freq": "h", "checkpoints": "./out/checkpoints/", "seq_len": 96, "label_len": 48, "pred_len": 192, "seasonal_patterns": "Monthly", "inverse": false, "mask_rate": 0.25, "anomaly_ratio": 0.25, "top_k": 5, "num_kernels": 6, "enc_in": 7, "dec_in": 7, "c_out": 7, "d_model": 32, "n_heads": 8, "e_layers": 1, "d_layers": 1, "d_ff": 32, "moving_avg": 25, "factor": 3, "distil": true, "dropout": 0.1, "embed": "timeF", "activation": "gelu", "output_attention": false, "channel_independence": 0, "conv_kernel": null, "num_workers": 10, "itr": 1, "train_epochs": 10, "batch_size": 32, "patience": 3, "learning_rate": 0.05, "des": "Exp", "loss": "MSE", "lradj": "type1", "use_amp": false, "use_gpu": true, "gpu": 0, "use_multi_gpu": false, "devices": "0,1,2,3", "p_hidden_dims": [128, 128], "p_hidden_layers": 2}
1 change: 1 addition & 0 deletions config/ablation/ETT_script/TEFN_ac_ETTh2_p336.json
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{"task_name": "long_term_forecast", "is_training": 1, "model_id": "ETTh2_96_336", "model": "TEFN_ac", "data": "ETTh2", "root_path": "./dataset/ETT-small/", "data_path": "ETTh2.csv", "features": "M", "target": "OT", "freq": "h", "checkpoints": "./out/checkpoints/", "seq_len": 96, "label_len": 48, "pred_len": 336, "seasonal_patterns": "Monthly", "inverse": false, "mask_rate": 0.25, "anomaly_ratio": 0.25, "top_k": 5, "num_kernels": 6, "enc_in": 7, "dec_in": 7, "c_out": 7, "d_model": 32, "n_heads": 8, "e_layers": 1, "d_layers": 1, "d_ff": 32, "moving_avg": 25, "factor": 3, "distil": true, "dropout": 0.1, "embed": "timeF", "activation": "gelu", "output_attention": false, "channel_independence": 0, "conv_kernel": null, "num_workers": 10, "itr": 1, "train_epochs": 10, "batch_size": 32, "patience": 3, "learning_rate": 0.1, "des": "Exp", "loss": "MSE", "lradj": "type1", "use_amp": false, "use_gpu": true, "gpu": 0, "use_multi_gpu": false, "devices": "0,1,2,3", "p_hidden_dims": [128, 128], "p_hidden_layers": 2}
1 change: 1 addition & 0 deletions config/ablation/ETT_script/TEFN_ac_ETTh2_p720.json
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{"task_name": "long_term_forecast", "is_training": 1, "model_id": "ETTh2_96_720", "model": "TEFN_ac", "data": "ETTh2", "root_path": "./dataset/ETT-small/", "data_path": "ETTh2.csv", "features": "M", "target": "OT", "freq": "h", "checkpoints": "./out/checkpoints/", "seq_len": 96, "label_len": 48, "pred_len": 720, "seasonal_patterns": "Monthly", "inverse": false, "mask_rate": 0.25, "anomaly_ratio": 0.25, "top_k": 5, "num_kernels": 6, "enc_in": 7, "dec_in": 7, "c_out": 7, "d_model": 32, "n_heads": 8, "e_layers": 3, "d_layers": 1, "d_ff": 32, "moving_avg": 25, "factor": 3, "distil": true, "dropout": 0.1, "embed": "timeF", "activation": "gelu", "output_attention": false, "channel_independence": 0, "conv_kernel": null, "num_workers": 10, "itr": 1, "train_epochs": 10, "batch_size": 32, "patience": 3, "learning_rate": 0.1, "des": "Exp", "loss": "MSE", "lradj": "type1", "use_amp": false, "use_gpu": true, "gpu": 0, "use_multi_gpu": false, "devices": "0,1,2,3", "p_hidden_dims": [128, 128], "p_hidden_layers": 2}
1 change: 1 addition & 0 deletions config/ablation/ETT_script/TEFN_ac_ETTh2_p96.json
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{"task_name": "long_term_forecast", "is_training": 1, "model_id": "ETTh2_96_96", "model": "TEFN_ac", "data": "ETTh2", "root_path": "./dataset/ETT-small/", "data_path": "ETTh2.csv", "features": "M", "target": "OT", "freq": "h", "checkpoints": "./out/checkpoints/", "seq_len": 96, "label_len": 48, "pred_len": 96, "seasonal_patterns": "Monthly", "inverse": false, "mask_rate": 0.25, "anomaly_ratio": 0.25, "top_k": 5, "num_kernels": 6, "enc_in": 7, "dec_in": 7, "c_out": 7, "d_model": 32, "n_heads": 8, "e_layers": 4, "d_layers": 1, "d_ff": 32, "moving_avg": 25, "factor": 3, "distil": true, "dropout": 0.1, "embed": "timeF", "activation": "gelu", "output_attention": false, "channel_independence": 0, "conv_kernel": null, "num_workers": 10, "itr": 1, "train_epochs": 10, "batch_size": 32, "patience": 3, "learning_rate": 0.01, "des": "Exp", "loss": "MSE", "lradj": "type1", "use_amp": false, "use_gpu": true, "gpu": 0, "use_multi_gpu": false, "devices": "0,1,2,3", "p_hidden_dims": [128, 128], "p_hidden_layers": 2}
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