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Base-FNO_v1.0+_h64_m64_l4_e50_20251205_063911/details/dataset_indices.txt

@@ -0,0 +1,21 @@
+Dataset Split Indices
+============================================================
+
+Random Seed: 42
+Split Ratio (Train:Val:Test): [0.7, 0.2, 0.1]
+Total GM Count: 198018
+
+Train Indices (138567 samples):
+  Range: [57, 198017]
+  First 10: [130245, 130246, 130247, 130248, 130249, 130250, 130251, 130252, 130253, 130254]
+  Last 10: [180965, 180966, 180967, 180968, 180969, 180970, 180971, 180972, 180973, 180974]
+
+Validation Indices (39615 samples):
+  Range: [0, 197960]
+  First 10: [178809, 178810, 178811, 178812, 178813, 178814, 178815, 178816, 178817, 178818]
+  Last 10: [1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310]
+
+Test Indices (19836 samples):
+  Range: [798, 196877]
+  First 10: [80427, 80428, 80429, 80430, 80431, 80432, 80433, 80434, 80435, 80436]
+  Last 10: [21194, 21195, 21196, 21197, 21198, 21199, 21200, 21201, 21202, 21203]

Base-FNO_v1.0+_h64_m64_l4_e50_20251205_063911/details/results.txt

@@ -0,0 +1,22 @@
+Regression Test Results - KNET Test Split
+============================================================
+Model Version: 1.0+ (Standard FNO)
+
+Model Configuration:
+  - Hidden Channels: 64
+  - Fourier Modes: 64
+  - Number of Layers: 4
+  - Domain Padding: 0.1
+
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.274706
+RMSE:      0.524124
+MAE:       0.300024
+R² Score:  0.641545
+
+============================================================
+Training Performance:
+  - Total Training Time: 8515.66s
+  - Average Epoch Time:  170.31s
+============================================================

Base-FNO_v1.0+_h64_m64_l4_e50_20251205_063911/details/training_config.txt

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+======================================================================
+FNO v1.0 Training Configuration (Standard FNO)
+======================================================================
+
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+
+Model Type:           Standard FNO (neuralop)
+Fourier Modes:        64
+Hidden Channels:      64
+Number of Layers:     4
+Domain Padding:       0.1
+Projection Ratio:     2
+Input Channels:       1
+Output Channels:      1
+Grid Size:            3000
+Total Parameters:     591,425
+Trainable Parameters: 591,425
+
+TRAINING PARAMETERS
+----------------------------------------------------------------------
+Batch Size:           2560
+Number of Epochs:     50
+Learning Rate:        0.001
+Weight Decay:         0.0001
+Optimizer:            AdamW
+Loss Function:        MSE Loss
+LR Scheduler:         StepLR
+  - Step Size:        20
+  - Gamma:            0.5
+Checkpoint Interval:  10 epochs
+Augmentation Factors: 57 (out of 57)
+
+DATASET CONFIGURATION
+----------------------------------------------------------------------
+Train/Val/Test Split: 0.7/0.2/0.1
+Train Samples:        138567
+Validation Samples:   39615
+Test Samples (KNET):  19836
+Total GM Count:       198018
+Random Seed:          42
+
+DATA PATHS
+----------------------------------------------------------------------
+GM Path:              /home/jason/SesimicTransformerData/MDOF/All_GMs/GMs_knet_3474_AF_57.h5
+Buildings Dir:        /home/jason/SesimicTransformerData/MDOF/knet-250/Data/fno
+Buildings Files:      1 .h5 files
+Output Directory:     /home/jason/SeismicAssessment/output/Base-FNO_v1.0+_h64_m64_l4_e50_20251205_063911
+
+SYSTEM INFORMATION
+----------------------------------------------------------------------
+Platform:             linux
+Device:               cuda
+PyTorch Version:      2.9.1+cu128
+CUDA Available:       True
+CUDA Version:         12.8
+GPU Count:            1
+GPU Device:           NVIDIA RTX PRO 6000 Blackwell Workstation Edition
+
+ADDITIONAL NOTES
+----------------------------------------------------------------------
+Run Test:             True
+Task Type:            Regression (Floor Acceleration Response)
+Compiled Model:       True
+DataLoader Workers:   0 (h5py compatibility)
+
+======================================================================

Base-FNO_v1.0+_h64_m64_l4_e50_20251205_063911/details/training_log.txt

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Base-FNO_v1.0+_h64_m64_l4_e50_20251205_063911/model/fno_vBase.1.0+_epoch20_mse0.3101_r20.6028_20251205_073601.pth

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Base-FNO_v1.0+_h64_m64_l4_e50_20251205_063911/model/fno_vBase.1.0+_epoch30_mse0.2908_r20.6275_20251205_080423.pth

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Efficiency-Series (E-Base, E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/details/dataset_indices.txt

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+Dataset Split Indices
+============================================================
+
+Random Seed: 42
+Split Ratio (Train:Val:Test): [0, 0, 0]
+Total GM Count: 198018
+
+Train Indices (136800 samples):
+  Range: [114, 197960]
+  First 10: [42294, 42295, 42296, 42297, 42298, 42299, 42300, 42301, 42302, 42303]
+  Last 10: [1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310]
+
+Validation Indices (34200 samples):
+  Range: [0, 198017]
+  First 10: [84132, 84133, 84134, 84135, 84136, 84137, 84138, 84139, 84140, 84141]
+  Last 10: [16976, 16977, 16978, 16979, 16980, 16981, 16982, 16983, 16984, 16985]
+
+Test Indices (27018 samples):
+  Range: [57, 197276]
+  First 10: [193401, 193402, 193403, 193404, 193405, 193406, 193407, 193408, 193409, 193410]
+  Last 10: [180965, 180966, 180967, 180968, 180969, 180970, 180971, 180972, 180973, 180974]

Efficiency-Series (E-Base, E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/details/results.txt

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+Regression Test Results - Efficiency Analysis
+============================================================
+Model Version: 1.0+_E (Standard FNO)
+
+Efficiency Analysis:
+  - Train GMs Used: 3000
+  - Scales Used: 57
+
+Model Configuration:
+  - Hidden Channels: 64
+  - Fourier Modes: 1536
+  - Number of Layers: 4
+  - Domain Padding: 0.1
+
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.054141
+RMSE:      0.232682
+MAE:       0.118034
+R² Score:  0.930201
+
+============================================================
+Training Performance:
+  - Total Training Time: 8679.66s
+  - Average Epoch Time:  173.59s
+============================================================

Efficiency-Series (E-Base, E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/details/training_config.txt

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+======================================================================
+FNO v1.0 Efficiency Analysis Configuration
+======================================================================
+
+EFFICIENCY ANALYSIS PARAMETERS
+----------------------------------------------------------------------
+Total GMs:            3474
+Test Size (Fixed):    474
+Train GMs Used:       3000
+Scales Used per GM:   57
+Random Seed:          42
+
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+_E
+Model Type:           Standard FNO (neuralop)
+Fourier Modes:        1536
+Hidden Channels:      64
+Number of Layers:     4
+Domain Padding:       0.1
+Projection Ratio:     2
+Input Channels:       1
+Output Channels:      1
+Grid Size:            3000
+Total Parameters:     12,650,049
+Trainable Parameters: 12,650,049
+
+TRAINING PARAMETERS
+----------------------------------------------------------------------
+Batch Size:           2560
+Number of Epochs:     50
+Learning Rate:        0.001
+Weight Decay:         0.0001
+Optimizer:            AdamW
+Loss Function:        MSE Loss
+LR Scheduler:         StepLR
+  - Step Size:        20
+  - Gamma:            0.5
+Checkpoint Interval:  10 epochs
+
+DATASET CONFIGURATION
+----------------------------------------------------------------------
+Train Samples:        136800
+Validation Samples:   34200
+Test Samples:         27018
+Total GM Count:       198018
+
+DATA PATHS
+----------------------------------------------------------------------
+GM Path:              /home/jason/SesimicTransformerData/MDOF/All_GMs/GMs_knet_3474_AF_57.h5
+Buildings Dir:        /home/jason/SesimicTransformerData/MDOF/knet-250/Data/fno
+Buildings Files:      1 .h5 files
+Output Directory:     /home/jason/SeismicAssessment/output/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402
+
+SYSTEM INFORMATION
+----------------------------------------------------------------------
+Platform:             linux
+Device:               cuda
+PyTorch Version:      2.9.1+cu128
+CUDA Available:       True
+CUDA Version:         12.8
+GPU Count:            1
+GPU Device:           NVIDIA RTX PRO 6000 Blackwell Workstation Edition
+
+ADDITIONAL NOTES
+----------------------------------------------------------------------
+Run Test:             True
+Task Type:            Regression (Floor Acceleration Response)
+Compiled Model:       True
+DataLoader Workers:   0 (h5py compatibility)
+
+======================================================================

Efficiency-Series (E-Base, E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/details/training_log.txt

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Efficiency-Series (E-Base, E-Test-1~15)/E-test-1-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_105908/details/dataset_indices.txt

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+Dataset Split Indices
+============================================================
+
+Random Seed: 42
+Split Ratio (Train:Val:Test): [0, 0, 0]
+Total GM Count: 198018
+
+Train Indices (110400 samples):
+  Range: [114, 197960]
+  First 10: [42294, 42295, 42296, 42298, 42299, 42300, 42301, 42303, 42304, 42305]
+  Last 10: [1299, 1300, 1301, 1303, 1304, 1305, 1306, 1308, 1309, 1310]
+
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+  Range: [0, 198017]
+  First 10: [84132, 84133, 84134, 84136, 84137, 84138, 84139, 84141, 84142, 84143]
+  Last 10: [16974, 16975, 16976, 16978, 16979, 16980, 16981, 16983, 16984, 16985]
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+  Range: [57, 197276]
+  First 10: [193401, 193402, 193403, 193404, 193405, 193406, 193407, 193408, 193409, 193410]
+  Last 10: [180965, 180966, 180967, 180968, 180969, 180970, 180971, 180972, 180973, 180974]

Efficiency-Series (E-Base, E-Test-1~15)/E-test-1-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_105908/details/results.txt

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+Regression Test Results - Efficiency Analysis
+============================================================
+Model Version: 1.0+_E (Standard FNO)
+
+Efficiency Analysis:
+  - Train GMs Used: 3000
+  - Scales Used: 46
+
+Model Configuration:
+  - Hidden Channels: 64
+  - Fourier Modes: 1536
+  - Number of Layers: 4
+  - Domain Padding: 0.1
+
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.054490
+RMSE:      0.233430
+MAE:       0.118761
+R² Score:  0.929753
+
+============================================================
+Training Performance:
+  - Total Training Time: 6754.88s
+  - Average Epoch Time:  135.10s
+============================================================

Efficiency-Series (E-Base, E-Test-1~15)/E-test-1-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_105908/details/training_config.txt

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+======================================================================
+FNO v1.0 Efficiency Analysis Configuration
+======================================================================
+
+EFFICIENCY ANALYSIS PARAMETERS
+----------------------------------------------------------------------
+Total GMs:            3474
+Test Size (Fixed):    474
+Train GMs Used:       3000
+Scales Used per GM:   46
+Random Seed:          42
+
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+_E
+Model Type:           Standard FNO (neuralop)
+Fourier Modes:        1536
+Hidden Channels:      64
+Number of Layers:     4
+Domain Padding:       0.1
+Projection Ratio:     2
+Input Channels:       1
+Output Channels:      1
+Grid Size:            3000
+Total Parameters:     12,650,049
+Trainable Parameters: 12,650,049
+
+TRAINING PARAMETERS
+----------------------------------------------------------------------
+Batch Size:           2560
+Number of Epochs:     50
+Learning Rate:        0.001
+Weight Decay:         0.0001
+Optimizer:            AdamW
+Loss Function:        MSE Loss
+LR Scheduler:         StepLR
+  - Step Size:        20
+  - Gamma:            0.5
+Checkpoint Interval:  10 epochs
+
+DATASET CONFIGURATION
+----------------------------------------------------------------------
+Train Samples:        110400
+Validation Samples:   27600
+Test Samples:         27018
+Total GM Count:       198018
+
+DATA PATHS
+----------------------------------------------------------------------
+GM Path:              /home/jason/SesimicTransformerData/MDOF/All_GMs/GMs_knet_3474_AF_57.h5
+Buildings Dir:        /home/jason/SesimicTransformerData/MDOF/knet-250/Data/fno
+Buildings Files:      1 .h5 files
+Output Directory:     /home/jason/SeismicAssessment/output/E-test-1-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_105908
+
+SYSTEM INFORMATION
+----------------------------------------------------------------------
+Platform:             linux
+Device:               cuda
+PyTorch Version:      2.9.1+cu128
+CUDA Available:       True
+CUDA Version:         12.8
+GPU Count:            1
+GPU Device:           NVIDIA RTX PRO 6000 Blackwell Workstation Edition
+
+ADDITIONAL NOTES
+----------------------------------------------------------------------
+Run Test:             True
+Task Type:            Regression (Floor Acceleration Response)
+Compiled Model:       True
+DataLoader Workers:   0 (h5py compatibility)
+
+======================================================================

Efficiency-Series (E-Base, E-Test-1~15)/E-test-1-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_105908/details/training_log.txt

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+Dataset Split Indices
+============================================================
+
+Random Seed: 42
+Split Ratio (Train:Val:Test): [0, 0, 0]
+Total GM Count: 198018
+
+Train Indices (48960 samples):
+  Range: [0, 197960]
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+  Last 10: [151376, 151377, 151379, 151381, 151383, 151384, 151386, 151388, 151389, 151391]
+
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+  Range: [798, 197846]
+  First 10: [53067, 53069, 53070, 53072, 53074, 53075, 53077, 53079, 53081, 53082]
+  Last 10: [37034, 37035, 37037, 37039, 37041, 37042, 37044, 37046, 37047, 37049]
+
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+  Range: [57, 197276]
+  First 10: [193401, 193402, 193403, 193404, 193405, 193406, 193407, 193408, 193409, 193410]
+  Last 10: [180965, 180966, 180967, 180968, 180969, 180970, 180971, 180972, 180973, 180974]

Efficiency-Series (E-Base, E-Test-1~15)/E-test-10-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_035505/details/results.txt

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+Regression Test Results - Efficiency Analysis
+============================================================
+Model Version: 1.0+_E (Standard FNO)
+
+Efficiency Analysis:
+  - Train GMs Used: 1800
+  - Scales Used: 34
+
+Model Configuration:
+  - Hidden Channels: 64
+  - Fourier Modes: 1536
+  - Number of Layers: 4
+  - Domain Padding: 0.1
+
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.066595
+RMSE:      0.258060
+MAE:       0.135838
+R² Score:  0.914180
+
+============================================================
+Training Performance:
+  - Total Training Time: 3006.82s
+  - Average Epoch Time:  60.14s
+============================================================

Efficiency-Series (E-Base, E-Test-1~15)/E-test-10-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_035505/details/training_config.txt

@@ -0,0 +1,72 @@
+======================================================================
+FNO v1.0 Efficiency Analysis Configuration
+======================================================================
+
+EFFICIENCY ANALYSIS PARAMETERS
+----------------------------------------------------------------------
+Total GMs:            3474
+Test Size (Fixed):    474
+Train GMs Used:       1800
+Scales Used per GM:   34
+Random Seed:          42
+
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+_E
+Model Type:           Standard FNO (neuralop)
+Fourier Modes:        1536
+Hidden Channels:      64
+Number of Layers:     4
+Domain Padding:       0.1
+Projection Ratio:     2
+Input Channels:       1
+Output Channels:      1
+Grid Size:            3000
+Total Parameters:     12,650,049
+Trainable Parameters: 12,650,049
+
+TRAINING PARAMETERS
+----------------------------------------------------------------------
+Batch Size:           2560
+Number of Epochs:     50
+Learning Rate:        0.001
+Weight Decay:         0.0001
+Optimizer:            AdamW
+Loss Function:        MSE Loss
+LR Scheduler:         StepLR
+  - Step Size:        20
+  - Gamma:            0.5
+Checkpoint Interval:  10 epochs
+
+DATASET CONFIGURATION
+----------------------------------------------------------------------
+Train Samples:        48960
+Validation Samples:   12240
+Test Samples:         27018
+Total GM Count:       198018
+
+DATA PATHS
+----------------------------------------------------------------------
+GM Path:              /home/jason/SesimicTransformerData/MDOF/All_GMs/GMs_knet_3474_AF_57.h5
+Buildings Dir:        /home/jason/SesimicTransformerData/MDOF/knet-250/Data/fno
+Buildings Files:      1 .h5 files
+Output Directory:     /home/jason/SeismicAssessment/output/E-test-10-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_035505
+
+SYSTEM INFORMATION
+----------------------------------------------------------------------
+Platform:             linux
+Device:               cuda
+PyTorch Version:      2.9.1+cu128
+CUDA Available:       True
+CUDA Version:         12.8
+GPU Count:            1
+GPU Device:           NVIDIA RTX PRO 6000 Blackwell Workstation Edition
+
+ADDITIONAL NOTES
+----------------------------------------------------------------------
+Run Test:             True
+Task Type:            Regression (Floor Acceleration Response)
+Compiled Model:       True
+DataLoader Workers:   0 (h5py compatibility)
+
+======================================================================

Efficiency-Series (E-Base, E-Test-1~15)/E-test-10-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_035505/details/training_log.txt

@@ -0,0 +1,51 @@
+Epoch,Train_MSE,Train_RMSE,Train_MAE,Train_R2,Val_MSE,Val_RMSE,Val_MAE,Val_R2,Learning_Rate,Time(s)
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Efficiency-Series (E-Base, E-Test-1~15)/E-test-11-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_044539/details/dataset_indices.txt

@@ -0,0 +1,21 @@
+Dataset Split Indices
+============================================================
+
+Random Seed: 42
+Split Ratio (Train:Val:Test): [0, 0, 0]
+Total GM Count: 198018
+
+Train Indices (22080 samples):
+  Range: [0, 197960]
+  First 10: [10146, 10149, 10151, 10154, 10156, 10159, 10161, 10164, 10166, 10169]
+  Last 10: [151368, 151371, 151373, 151376, 151378, 151381, 151383, 151386, 151388, 151391]
+
+Validation Indices (5520 samples):
+  Range: [399, 197732]
+  First 10: [47538, 47541, 47543, 47546, 47548, 47551, 47553, 47556, 47558, 47561]
+  Last 10: [77667, 77670, 77672, 77675, 77677, 77680, 77682, 77685, 77687, 77690]
+
+Test Indices (27018 samples):
+  Range: [57, 197276]
+  First 10: [193401, 193402, 193403, 193404, 193405, 193406, 193407, 193408, 193409, 193410]
+  Last 10: [180965, 180966, 180967, 180968, 180969, 180970, 180971, 180972, 180973, 180974]

Efficiency-Series (E-Base, E-Test-1~15)/E-test-11-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_044539/details/results.txt

@@ -0,0 +1,26 @@
+Regression Test Results - Efficiency Analysis
+============================================================
+Model Version: 1.0+_E (Standard FNO)
+
+Efficiency Analysis:
+  - Train GMs Used: 1200
+  - Scales Used: 23
+
+Model Configuration:
+  - Hidden Channels: 64
+  - Fourier Modes: 1536
+  - Number of Layers: 4
+  - Domain Padding: 0.1
+
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.080610
+RMSE:      0.283920
+MAE:       0.155507
+R² Score:  0.896106
+
+============================================================
+Training Performance:
+  - Total Training Time: 1357.18s
+  - Average Epoch Time:  27.14s
+============================================================

Efficiency-Series (E-Base, E-Test-1~15)/E-test-11-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_044539/details/training_config.txt

@@ -0,0 +1,72 @@
+======================================================================
+FNO v1.0 Efficiency Analysis Configuration
+======================================================================
+
+EFFICIENCY ANALYSIS PARAMETERS
+----------------------------------------------------------------------
+Total GMs:            3474
+Test Size (Fixed):    474
+Train GMs Used:       1200
+Scales Used per GM:   23
+Random Seed:          42
+
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+_E
+Model Type:           Standard FNO (neuralop)
+Fourier Modes:        1536
+Hidden Channels:      64
+Number of Layers:     4
+Domain Padding:       0.1
+Projection Ratio:     2
+Input Channels:       1
+Output Channels:      1
+Grid Size:            3000
+Total Parameters:     12,650,049
+Trainable Parameters: 12,650,049
+
+TRAINING PARAMETERS
+----------------------------------------------------------------------
+Batch Size:           2560
+Number of Epochs:     50
+Learning Rate:        0.001
+Weight Decay:         0.0001
+Optimizer:            AdamW
+Loss Function:        MSE Loss
+LR Scheduler:         StepLR
+  - Step Size:        20
+  - Gamma:            0.5
+Checkpoint Interval:  10 epochs
+
+DATASET CONFIGURATION
+----------------------------------------------------------------------
+Train Samples:        22080
+Validation Samples:   5520
+Test Samples:         27018
+Total GM Count:       198018
+
+DATA PATHS
+----------------------------------------------------------------------
+GM Path:              /home/jason/SesimicTransformerData/MDOF/All_GMs/GMs_knet_3474_AF_57.h5
+Buildings Dir:        /home/jason/SesimicTransformerData/MDOF/knet-250/Data/fno
+Buildings Files:      1 .h5 files
+Output Directory:     /home/jason/SeismicAssessment/output/E-test-11-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_044539
+
+SYSTEM INFORMATION
+----------------------------------------------------------------------
+Platform:             linux
+Device:               cuda
+PyTorch Version:      2.9.1+cu128
+CUDA Available:       True
+CUDA Version:         12.8
+GPU Count:            1
+GPU Device:           NVIDIA RTX PRO 6000 Blackwell Workstation Edition
+
+ADDITIONAL NOTES
+----------------------------------------------------------------------
+Run Test:             True
+Task Type:            Regression (Floor Acceleration Response)
+Compiled Model:       True
+DataLoader Workers:   0 (h5py compatibility)
+
+======================================================================

Efficiency-Series (E-Base, E-Test-1~15)/E-test-11-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_044539/details/training_log.txt

@@ -0,0 +1,51 @@
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+Dataset Split Indices
+============================================================
+
+Random Seed: 42
+Split Ratio (Train:Val:Test): [0, 0, 0]
+Total GM Count: 198018
+
+Train Indices (5280 samples):
+  Range: [0, 197789]
+  First 10: [150423, 150429, 150434, 150440, 150445, 150451, 150457, 150462, 150468, 150473]
+  Last 10: [52503, 52508, 52514, 52519, 52525, 52531, 52536, 52542, 52547, 52553]
+
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+  Range: [1425, 197960]
+  First 10: [83277, 83283, 83288, 83294, 83299, 83305, 83311, 83316, 83322, 83327]
+  Last 10: [12432, 12437, 12443, 12448, 12454, 12460, 12465, 12471, 12476, 12482]
+
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+  Range: [57, 197276]
+  First 10: [193401, 193402, 193403, 193404, 193405, 193406, 193407, 193408, 193409, 193410]
+  Last 10: [180965, 180966, 180967, 180968, 180969, 180970, 180971, 180972, 180973, 180974]

Efficiency-Series (E-Base, E-Test-1~15)/E-test-12-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_050844/details/results.txt

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+Regression Test Results - Efficiency Analysis
+============================================================
+Model Version: 1.0+_E (Standard FNO)
+
+Efficiency Analysis:
+  - Train GMs Used: 600
+  - Scales Used: 11
+
+Model Configuration:
+  - Hidden Channels: 64
+  - Fourier Modes: 1536
+  - Number of Layers: 4
+  - Domain Padding: 0.1
+
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.151799
+RMSE:      0.389614
+MAE:       0.234563
+R² Score:  0.804419
+
+============================================================
+Training Performance:
+  - Total Training Time: 344.23s
+  - Average Epoch Time:  6.88s
+============================================================

Efficiency-Series (E-Base, E-Test-1~15)/E-test-12-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_050844/details/training_config.txt

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+======================================================================
+FNO v1.0 Efficiency Analysis Configuration
+======================================================================
+
+EFFICIENCY ANALYSIS PARAMETERS
+----------------------------------------------------------------------
+Total GMs:            3474
+Test Size (Fixed):    474
+Train GMs Used:       600
+Scales Used per GM:   11
+Random Seed:          42
+
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+_E
+Model Type:           Standard FNO (neuralop)
+Fourier Modes:        1536
+Hidden Channels:      64
+Number of Layers:     4
+Domain Padding:       0.1
+Projection Ratio:     2
+Input Channels:       1
+Output Channels:      1
+Grid Size:            3000
+Total Parameters:     12,650,049
+Trainable Parameters: 12,650,049
+
+TRAINING PARAMETERS
+----------------------------------------------------------------------
+Batch Size:           2560
+Number of Epochs:     50
+Learning Rate:        0.001
+Weight Decay:         0.0001
+Optimizer:            AdamW
+Loss Function:        MSE Loss
+LR Scheduler:         StepLR
+  - Step Size:        20
+  - Gamma:            0.5
+Checkpoint Interval:  10 epochs
+
+DATASET CONFIGURATION
+----------------------------------------------------------------------
+Train Samples:        5280
+Validation Samples:   1320
+Test Samples:         27018
+Total GM Count:       198018
+
+DATA PATHS
+----------------------------------------------------------------------
+GM Path:              /home/jason/SesimicTransformerData/MDOF/All_GMs/GMs_knet_3474_AF_57.h5
+Buildings Dir:        /home/jason/SesimicTransformerData/MDOF/knet-250/Data/fno
+Buildings Files:      1 .h5 files
+Output Directory:     /home/jason/SeismicAssessment/output/E-test-12-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_050844
+
+SYSTEM INFORMATION
+----------------------------------------------------------------------
+Platform:             linux
+Device:               cuda
+PyTorch Version:      2.9.1+cu128
+CUDA Available:       True
+CUDA Version:         12.8
+GPU Count:            1
+GPU Device:           NVIDIA RTX PRO 6000 Blackwell Workstation Edition
+
+ADDITIONAL NOTES
+----------------------------------------------------------------------
+Run Test:             True
+Task Type:            Regression (Floor Acceleration Response)
+Compiled Model:       True
+DataLoader Workers:   0 (h5py compatibility)
+
+======================================================================

Efficiency-Series (E-Base, E-Test-1~15)/E-test-12-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_050844/details/training_log.txt

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+Dataset Split Indices
+============================================================
+
+Random Seed: 42
+Split Ratio (Train:Val:Test): [0, 0, 0]
+Total GM Count: 198018
+
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+  Range: [114, 197960]
+  First 10: [42294, 42305, 42316, 42328, 42339, 42350, 144039, 144050, 144061, 144073]
+  Last 10: [67852, 67864, 67875, 67886, 1254, 1265, 1276, 1288, 1299, 1310]
+
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+  Range: [0, 198017]
+  First 10: [84132, 84143, 84154, 84166, 84177, 84188, 118161, 118172, 118183, 118195]
+  Last 10: [71785, 71797, 71808, 71819, 16929, 16940, 16951, 16963, 16974, 16985]
+
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+  Last 10: [180965, 180966, 180967, 180968, 180969, 180970, 180971, 180972, 180973, 180974]

Efficiency-Series (E-Base, E-Test-1~15)/E-test-13-FNO_v1.0+.E_h64_m1536_l4_e50_20251210_063342/details/results.txt

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+Regression Test Results - Efficiency Analysis
+============================================================
+Model Version: 1.0+_E (Standard FNO)
+
+Efficiency Analysis:
+  - Train GMs Used: 3000
+  - Scales Used: 6
+
+Model Configuration:
+  - Hidden Channels: 64
+  - Fourier Modes: 1536
+  - Number of Layers: 4
+  - Domain Padding: 0.1
+
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.082831
+RMSE:      0.287804
+MAE:       0.161126
+R² Score:  0.893295
+
+============================================================
+Training Performance:
+  - Total Training Time: 905.12s
+  - Average Epoch Time:  18.10s
+============================================================

Efficiency-Series (E-Base, E-Test-1~15)/E-test-13-FNO_v1.0+.E_h64_m1536_l4_e50_20251210_063342/details/training_config.txt

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+FNO v1.0 Efficiency Analysis Configuration
+======================================================================
+
+EFFICIENCY ANALYSIS PARAMETERS
+----------------------------------------------------------------------
+Total GMs:            3474
+Test Size (Fixed):    474
+Train GMs Used:       3000
+Scales Used per GM:   6
+Random Seed:          42
+
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+_E
+Model Type:           Standard FNO (neuralop)
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+Hidden Channels:      64
+Number of Layers:     4
+Domain Padding:       0.1
+Projection Ratio:     2
+Input Channels:       1
+Output Channels:      1
+Grid Size:            3000
+Total Parameters:     12,650,049
+Trainable Parameters: 12,650,049
+
+TRAINING PARAMETERS
+----------------------------------------------------------------------
+Batch Size:           2560
+Number of Epochs:     50
+Learning Rate:        0.001
+Weight Decay:         0.0001
+Optimizer:            AdamW
+Loss Function:        MSE Loss
+LR Scheduler:         StepLR
+  - Step Size:        20
+  - Gamma:            0.5
+Checkpoint Interval:  10 epochs
+
+DATASET CONFIGURATION
+----------------------------------------------------------------------
+Train Samples:        14400
+Validation Samples:   3600
+Test Samples:         27018
+Total GM Count:       198018
+
+DATA PATHS
+----------------------------------------------------------------------
+GM Path:              /home/jason/SesimicTransformerData/MDOF/All_GMs/GMs_knet_3474_AF_57.h5
+Buildings Dir:        /home/jason/SesimicTransformerData/MDOF/knet-250/Data/fno
+Buildings Files:      1 .h5 files
+Output Directory:     /home/jason/SeismicAssessment/output/E-test-13-FNO_v1.0+.E_h64_m1536_l4_e50_20251210_063342
+
+SYSTEM INFORMATION
+----------------------------------------------------------------------
+Platform:             linux
+Device:               cuda
+PyTorch Version:      2.9.1+cu128
+CUDA Available:       True
+CUDA Version:         12.8
+GPU Count:            1
+GPU Device:           NVIDIA RTX PRO 6000 Blackwell Workstation Edition
+
+ADDITIONAL NOTES
+----------------------------------------------------------------------
+Run Test:             True
+Task Type:            Regression (Floor Acceleration Response)
+Compiled Model:       True
+DataLoader Workers:   0 (h5py compatibility)
+
+======================================================================

Efficiency-Series (E-Base, E-Test-1~15)/E-test-13-FNO_v1.0+.E_h64_m1536_l4_e50_20251210_063342/details/training_log.txt

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Efficiency-Series (E-Base, E-Test-1~15)/E-test-14-FNO_v1.0+.E_h64_m1536_l4_e50_20251210_064916/details/dataset_indices.txt

@@ -0,0 +1,21 @@
+Dataset Split Indices
+============================================================
+
+Random Seed: 42
+Split Ratio (Train:Val:Test): [0, 0, 0]
+Total GM Count: 198018
+
+Train Indices (7200 samples):
+  Range: [114, 197960]
+  First 10: [42294, 42322, 42350, 144039, 144067, 144095, 16587, 16615, 16643, 171798]
+  Last 10: [172595, 103740, 103768, 103796, 67830, 67858, 67886, 1254, 1282, 1310]
+
+Validation Indices (1800 samples):
+  Range: [0, 198017]
+  First 10: [84132, 84160, 84188, 118161, 118189, 118217, 177897, 177925, 177953, 15903]
+  Last 10: [185933, 142500, 142528, 142556, 71763, 71791, 71819, 16929, 16957, 16985]
+
+Test Indices (27018 samples):
+  Range: [57, 197276]
+  First 10: [193401, 193402, 193403, 193404, 193405, 193406, 193407, 193408, 193409, 193410]
+  Last 10: [180965, 180966, 180967, 180968, 180969, 180970, 180971, 180972, 180973, 180974]

Efficiency-Series (E-Base, E-Test-1~15)/E-test-14-FNO_v1.0+.E_h64_m1536_l4_e50_20251210_064916/details/results.txt

@@ -0,0 +1,26 @@
+Regression Test Results - Efficiency Analysis
+============================================================
+Model Version: 1.0+_E (Standard FNO)
+
+Efficiency Analysis:
+  - Train GMs Used: 3000
+  - Scales Used: 3
+
+Model Configuration:
+  - Hidden Channels: 64
+  - Fourier Modes: 1536
+  - Number of Layers: 4
+  - Domain Padding: 0.1
+
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.162886
+RMSE:      0.403592
+MAE:       0.243490
+R² Score:  0.790131
+
+============================================================
+Training Performance:
+  - Total Training Time: 461.52s
+  - Average Epoch Time:  9.23s
+============================================================

Efficiency-Series (E-Base, E-Test-1~15)/E-test-14-FNO_v1.0+.E_h64_m1536_l4_e50_20251210_064916/details/training_config.txt

@@ -0,0 +1,72 @@
+======================================================================
+FNO v1.0 Efficiency Analysis Configuration
+======================================================================
+
+EFFICIENCY ANALYSIS PARAMETERS
+----------------------------------------------------------------------
+Total GMs:            3474
+Test Size (Fixed):    474
+Train GMs Used:       3000
+Scales Used per GM:   3
+Random Seed:          42
+
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+_E
+Model Type:           Standard FNO (neuralop)
+Fourier Modes:        1536
+Hidden Channels:      64
+Number of Layers:     4
+Domain Padding:       0.1
+Projection Ratio:     2
+Input Channels:       1
+Output Channels:      1
+Grid Size:            3000
+Total Parameters:     12,650,049
+Trainable Parameters: 12,650,049
+
+TRAINING PARAMETERS
+----------------------------------------------------------------------
+Batch Size:           2560
+Number of Epochs:     50
+Learning Rate:        0.001
+Weight Decay:         0.0001
+Optimizer:            AdamW
+Loss Function:        MSE Loss
+LR Scheduler:         StepLR
+  - Step Size:        20
+  - Gamma:            0.5
+Checkpoint Interval:  10 epochs
+
+DATASET CONFIGURATION
+----------------------------------------------------------------------
+Train Samples:        7200
+Validation Samples:   1800
+Test Samples:         27018
+Total GM Count:       198018
+
+DATA PATHS
+----------------------------------------------------------------------
+GM Path:              /home/jason/SesimicTransformerData/MDOF/All_GMs/GMs_knet_3474_AF_57.h5
+Buildings Dir:        /home/jason/SesimicTransformerData/MDOF/knet-250/Data/fno
+Buildings Files:      1 .h5 files
+Output Directory:     /home/jason/SeismicAssessment/output/E-test-14-FNO_v1.0+.E_h64_m1536_l4_e50_20251210_064916
+
+SYSTEM INFORMATION
+----------------------------------------------------------------------
+Platform:             linux
+Device:               cuda
+PyTorch Version:      2.9.1+cu128
+CUDA Available:       True
+CUDA Version:         12.8
+GPU Count:            1
+GPU Device:           NVIDIA RTX PRO 6000 Blackwell Workstation Edition
+
+ADDITIONAL NOTES
+----------------------------------------------------------------------
+Run Test:             True
+Task Type:            Regression (Floor Acceleration Response)
+Compiled Model:       True
+DataLoader Workers:   0 (h5py compatibility)
+
+======================================================================

Efficiency-Series (E-Base, E-Test-1~15)/E-test-14-FNO_v1.0+.E_h64_m1536_l4_e50_20251210_064916/details/training_log.txt

@@ -0,0 +1,51 @@
+Epoch,Train_MSE,Train_RMSE,Train_MAE,Train_R2,Val_MSE,Val_RMSE,Val_MAE,Val_R2,Learning_Rate,Time(s)
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+47,0.133745,0.365711,0.196510,0.836757,0.153118,0.391304,0.206585,0.814581,2.50e-04,8.66
+48,0.132553,0.364079,0.195600,0.838319,0.152130,0.390039,0.205619,0.815778,2.50e-04,8.88
+49,0.131495,0.362622,0.194423,0.839861,0.151094,0.388708,0.205033,0.817033,2.50e-04,8.62
+50,0.130371,0.361069,0.193579,0.841358,0.150103,0.387432,0.204121,0.818232,2.50e-04,8.97

Efficiency-Series (E-Base, E-Test-1~15)/E-test-2-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_125210/details/dataset_indices.txt

@@ -0,0 +1,21 @@
+Dataset Split Indices
+============================================================
+
+Random Seed: 42
+Split Ratio (Train:Val:Test): [0, 0, 0]
+Total GM Count: 198018
+
+Train Indices (81600 samples):
+  Range: [114, 197960]
+  First 10: [42294, 42296, 42297, 42299, 42301, 42302, 42304, 42306, 42308, 42309]
+  Last 10: [1295, 1296, 1298, 1300, 1302, 1303, 1305, 1307, 1308, 1310]
+
+Validation Indices (20400 samples):
+  Range: [0, 198017]
+  First 10: [84132, 84134, 84135, 84137, 84139, 84140, 84142, 84144, 84146, 84147]
+  Last 10: [16970, 16971, 16973, 16975, 16977, 16978, 16980, 16982, 16983, 16985]
+
+Test Indices (27018 samples):
+  Range: [57, 197276]
+  First 10: [193401, 193402, 193403, 193404, 193405, 193406, 193407, 193408, 193409, 193410]
+  Last 10: [180965, 180966, 180967, 180968, 180969, 180970, 180971, 180972, 180973, 180974]

Efficiency-Series (E-Base, E-Test-1~15)/E-test-2-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_125210/details/results.txt

@@ -0,0 +1,26 @@
+Regression Test Results - Efficiency Analysis
+============================================================
+Model Version: 1.0+_E (Standard FNO)
+
+Efficiency Analysis:
+  - Train GMs Used: 3000
+  - Scales Used: 34
+
+Model Configuration:
+  - Hidden Channels: 64
+  - Fourier Modes: 1536
+  - Number of Layers: 4
+  - Domain Padding: 0.1
+
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.057237
+RMSE:      0.239243
+MAE:       0.123326
+R² Score:  0.926272
+
+============================================================
+Training Performance:
+  - Total Training Time: 4791.41s
+  - Average Epoch Time:  95.83s
+============================================================

Efficiency-Series (E-Base, E-Test-1~15)/E-test-2-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_125210/details/training_config.txt

@@ -0,0 +1,72 @@
+======================================================================
+FNO v1.0 Efficiency Analysis Configuration
+======================================================================
+
+EFFICIENCY ANALYSIS PARAMETERS
+----------------------------------------------------------------------
+Total GMs:            3474
+Test Size (Fixed):    474
+Train GMs Used:       3000
+Scales Used per GM:   34
+Random Seed:          42
+
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+_E
+Model Type:           Standard FNO (neuralop)
+Fourier Modes:        1536
+Hidden Channels:      64
+Number of Layers:     4
+Domain Padding:       0.1
+Projection Ratio:     2
+Input Channels:       1
+Output Channels:      1
+Grid Size:            3000
+Total Parameters:     12,650,049
+Trainable Parameters: 12,650,049
+
+TRAINING PARAMETERS
+----------------------------------------------------------------------
+Batch Size:           2560
+Number of Epochs:     50
+Learning Rate:        0.001
+Weight Decay:         0.0001
+Optimizer:            AdamW
+Loss Function:        MSE Loss
+LR Scheduler:         StepLR
+  - Step Size:        20
+  - Gamma:            0.5
+Checkpoint Interval:  10 epochs
+
+DATASET CONFIGURATION
+----------------------------------------------------------------------
+Train Samples:        81600
+Validation Samples:   20400
+Test Samples:         27018
+Total GM Count:       198018
+
+DATA PATHS
+----------------------------------------------------------------------
+GM Path:              /home/jason/SesimicTransformerData/MDOF/All_GMs/GMs_knet_3474_AF_57.h5
+Buildings Dir:        /home/jason/SesimicTransformerData/MDOF/knet-250/Data/fno
+Buildings Files:      1 .h5 files
+Output Directory:     /home/jason/SeismicAssessment/output/E-test-2-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_125210
+
+SYSTEM INFORMATION
+----------------------------------------------------------------------
+Platform:             linux
+Device:               cuda
+PyTorch Version:      2.9.1+cu128
+CUDA Available:       True
+CUDA Version:         12.8
+GPU Count:            1
+GPU Device:           NVIDIA RTX PRO 6000 Blackwell Workstation Edition
+
+ADDITIONAL NOTES
+----------------------------------------------------------------------
+Run Test:             True
+Task Type:            Regression (Floor Acceleration Response)
+Compiled Model:       True
+DataLoader Workers:   0 (h5py compatibility)
+
+======================================================================

Efficiency-Series (E-Base, E-Test-1~15)/E-test-2-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_125210/details/training_log.txt

@@ -0,0 +1,51 @@
+Epoch,Train_MSE,Train_RMSE,Train_MAE,Train_R2,Val_MSE,Val_RMSE,Val_MAE,Val_R2,Learning_Rate,Time(s)
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+3,0.156805,0.395986,0.240629,0.801845,0.132264,0.363681,0.217139,0.832943,1.00e-03,98.53
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+9,0.061478,0.247947,0.138744,0.922357,0.068654,0.262019,0.144037,0.913275,1.00e-03,95.22
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+27,0.036431,0.190869,0.105975,0.953989,0.057371,0.239522,0.125422,0.927528,5.00e-04,94.09
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+29,0.035649,0.188810,0.104892,0.954977,0.057078,0.238911,0.125133,0.927897,5.00e-04,95.27
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+33,0.033905,0.184134,0.102643,0.957185,0.056944,0.238629,0.124563,0.928066,5.00e-04,94.14
+34,0.033501,0.183032,0.102058,0.957702,0.056845,0.238422,0.124195,0.928191,5.00e-04,94.94
+35,0.033115,0.181977,0.101538,0.958181,0.057004,0.238755,0.124288,0.927990,5.00e-04,95.35
+36,0.032827,0.181183,0.101137,0.958554,0.057416,0.239616,0.124393,0.927470,5.00e-04,94.62
+37,0.032820,0.181163,0.101332,0.958562,0.057019,0.238785,0.124492,0.927972,5.00e-04,94.91
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+40,0.031634,0.177859,0.099518,0.960059,0.056662,0.238039,0.123530,0.928420,2.50e-04,95.26
+41,0.030744,0.175340,0.098207,0.961180,0.056584,0.237875,0.123051,0.928519,2.50e-04,95.02
+42,0.030508,0.174666,0.097841,0.961477,0.056738,0.238198,0.123020,0.928325,2.50e-04,94.97
+43,0.030374,0.174283,0.097669,0.961648,0.056731,0.238182,0.123190,0.928334,2.50e-04,95.52
+44,0.030158,0.173661,0.097384,0.961919,0.056647,0.238007,0.122991,0.928440,2.50e-04,95.02
+45,0.029967,0.173109,0.097125,0.962156,0.056684,0.238085,0.122847,0.928393,2.50e-04,95.60
+46,0.029821,0.172688,0.096899,0.962345,0.056761,0.238246,0.122881,0.928296,2.50e-04,95.05
+47,0.029665,0.172236,0.096701,0.962543,0.056759,0.238241,0.122853,0.928298,2.50e-04,95.47
+48,0.029511,0.171787,0.096448,0.962734,0.056767,0.238258,0.122700,0.928288,2.50e-04,95.19
+49,0.029339,0.171285,0.096197,0.962953,0.056795,0.238316,0.122869,0.928253,2.50e-04,95.31
+50,0.029245,0.171012,0.096090,0.963073,0.056972,0.238688,0.122774,0.928030,2.50e-04,94.41

Efficiency-Series (E-Base, E-Test-1~15)/E-test-3-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_141228/details/dataset_indices.txt

@@ -0,0 +1,21 @@
+Dataset Split Indices
+============================================================
+
+Random Seed: 42
+Split Ratio (Train:Val:Test): [0, 0, 0]
+Total GM Count: 198018
+
+Train Indices (55200 samples):
+  Range: [114, 197960]
+  First 10: [42294, 42297, 42299, 42302, 42304, 42307, 42309, 42312, 42314, 42317]
+  Last 10: [1287, 1290, 1292, 1295, 1297, 1300, 1302, 1305, 1307, 1310]
+
+Validation Indices (13800 samples):
+  Range: [0, 198017]
+  First 10: [84132, 84135, 84137, 84140, 84142, 84145, 84147, 84150, 84152, 84155]
+  Last 10: [16962, 16965, 16967, 16970, 16972, 16975, 16977, 16980, 16982, 16985]
+
+Test Indices (27018 samples):
+  Range: [57, 197276]
+  First 10: [193401, 193402, 193403, 193404, 193405, 193406, 193407, 193408, 193409, 193410]
+  Last 10: [180965, 180966, 180967, 180968, 180969, 180970, 180971, 180972, 180973, 180974]