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Efficiency-Series (E-Base, E-Test-1~15)/E-test-9-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_021211/details/dataset_indices.txt +21 -0
Efficiency-Series (E-Base, E-Test-1~15)/E-test-9-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_021211/details/results.txt +26 -0
Huge-FNO_v1.0+_h128_m1024_l12_e50_20251206_132248/details/dataset_indices.txt +21 -0
Huge-FNO_v1.0+_h128_m1024_l12_e50_20251206_132248/details/results.txt +22 -0
Huge-FNO_v1.0+_h128_m1024_l12_e50_20251206_132248/details/training_config.txt +67 -0
Huge-FNO_v1.0+_h128_m1024_l12_e50_20251206_132248/details/training_log.txt +51 -0
Large-FNO_v1.0+_h64_m512_l8_e50_20251206_101922/details/dataset_indices.txt +21 -0
Large-FNO_v1.0+_h64_m512_l8_e50_20251206_101922/details/results.txt +22 -0
Large-FNO_v1.0+_h64_m512_l8_e50_20251206_101922/details/training_config.txt +67 -0
Large-FNO_v1.0+_h64_m512_l8_e50_20251206_101922/details/training_log.txt +51 -0
Test-Series (Test-1~10)/Test-1-FNO_v1.0+_h64_m128_l4_e50_20251205_090131/details/dataset_indices.txt +21 -0
Test-Series (Test-1~10)/Test-1-FNO_v1.0+_h64_m128_l4_e50_20251205_090131/details/results.txt +22 -0
Test-Series (Test-1~10)/Test-1-FNO_v1.0+_h64_m128_l4_e50_20251205_090131/details/training_config.txt +67 -0
Test-Series (Test-1~10)/Test-1-FNO_v1.0+_h64_m128_l4_e50_20251205_090131/details/training_log.txt +51 -0
Test-Series (Test-1~10)/Test-10-FNO_v1.0+_h64_m64_l12_e50_20251206_064433/details/dataset_indices.txt +21 -0
Test-Series (Test-1~10)/Test-10-FNO_v1.0+_h64_m64_l12_e50_20251206_064433/details/results.txt +22 -0
Test-Series (Test-1~10)/Test-10-FNO_v1.0+_h64_m64_l12_e50_20251206_064433/details/training_config.txt +67 -0
Test-Series (Test-1~10)/Test-10-FNO_v1.0+_h64_m64_l12_e50_20251206_064433/details/training_log.txt +51 -0
Test-Series (Test-1~10)/Test-2-FNO_v1.0+_h64_m512_l4_e50_20251205_112502/details/dataset_indices.txt +21 -0
Test-Series (Test-1~10)/Test-2-FNO_v1.0+_h64_m512_l4_e50_20251205_112502/details/results.txt +22 -0
Test-Series (Test-1~10)/Test-2-FNO_v1.0+_h64_m512_l4_e50_20251205_112502/details/training_config.txt +67 -0
Test-Series (Test-1~10)/Test-2-FNO_v1.0+_h64_m512_l4_e50_20251205_112502/details/training_log.txt +51 -0
Test-Series (Test-1~10)/Test-3-FNO_v1.0+_h64_m1024_l4_e50_20251205_134726/details/dataset_indices.txt +21 -0
Test-Series (Test-1~10)/Test-3-FNO_v1.0+_h64_m1024_l4_e50_20251205_134726/details/results.txt +22 -0
Test-Series (Test-1~10)/Test-3-FNO_v1.0+_h64_m1024_l4_e50_20251205_134726/details/training_config.txt +67 -0
Test-Series (Test-1~10)/Test-3-FNO_v1.0+_h64_m1024_l4_e50_20251205_134726/details/training_log.txt +51 -0
Test-Series (Test-1~10)/Test-4-FNO_v1.0+_h64_m1536_l4_e50_20251205_161228/details/dataset_indices.txt +21 -0
Test-Series (Test-1~10)/Test-4-FNO_v1.0+_h64_m1536_l4_e50_20251205_161228/details/results.txt +22 -0
Test-Series (Test-1~10)/Test-4-FNO_v1.0+_h64_m1536_l4_e50_20251205_161228/details/training_config.txt +67 -0
Test-Series (Test-1~10)/Test-4-FNO_v1.0+_h64_m1536_l4_e50_20251205_161228/details/training_log.txt +51 -0
Test-Series (Test-1~10)/Test-5-FNO_v1.0+_h16_m64_l4_e50_20251205_191306/details/dataset_indices.txt +21 -0
Test-Series (Test-1~10)/Test-5-FNO_v1.0+_h16_m64_l4_e50_20251205_191306/details/results.txt +22 -0
Test-Series (Test-1~10)/Test-5-FNO_v1.0+_h16_m64_l4_e50_20251205_191306/details/training_config.txt +67 -0
Test-Series (Test-1~10)/Test-5-FNO_v1.0+_h16_m64_l4_e50_20251205_191306/details/training_log.txt +51 -0
Test-Series (Test-1~10)/Test-6-FNO_v1.0+_h32_m64_l4_e50_20251205_210306/details/dataset_indices.txt +21 -0
Test-Series (Test-1~10)/Test-6-FNO_v1.0+_h32_m64_l4_e50_20251205_210306/details/results.txt +22 -0
Test-Series (Test-1~10)/Test-6-FNO_v1.0+_h32_m64_l4_e50_20251205_210306/details/training_config.txt +67 -0
Test-Series (Test-1~10)/Test-6-FNO_v1.0+_h32_m64_l4_e50_20251205_210306/details/training_log.txt +51 -0
Test-Series (Test-1~10)/Test-7-FNO_v1.0+_h128_m64_l4_e50_20251205_230156/details/dataset_indices.txt +21 -0
Test-Series (Test-1~10)/Test-7-FNO_v1.0+_h128_m64_l4_e50_20251205_230156/details/results.txt +22 -0
Test-Series (Test-1~10)/Test-7-FNO_v1.0+_h128_m64_l4_e50_20251205_230156/details/training_config.txt +67 -0
Test-Series (Test-1~10)/Test-7-FNO_v1.0+_h128_m64_l4_e50_20251205_230156/details/training_log.txt +51 -0
Test-Series (Test-1~10)/Test-8-FNO_v1.0+_h64_m64_l2_e50_20251206_015346/details/dataset_indices.txt +21 -0
Test-Series (Test-1~10)/Test-8-FNO_v1.0+_h64_m64_l2_e50_20251206_015346/details/results.txt +22 -0
Test-Series (Test-1~10)/Test-8-FNO_v1.0+_h64_m64_l2_e50_20251206_015346/details/training_config.txt +67 -0
Test-Series (Test-1~10)/Test-8-FNO_v1.0+_h64_m64_l2_e50_20251206_015346/details/training_log.txt +51 -0
Test-Series (Test-1~10)/Test-9-FNO_v1.0+_h64_m64_l8_e50_20251206_035109/details/dataset_indices.txt +21 -0
Test-Series (Test-1~10)/Test-9-FNO_v1.0+_h64_m64_l8_e50_20251206_035109/details/results.txt +22 -0
Test-Series (Test-1~10)/Test-9-FNO_v1.0+_h64_m64_l8_e50_20251206_035109/details/training_config.txt +67 -0
Test-Series (Test-1~10)/Test-9-FNO_v1.0+_h64_m64_l8_e50_20251206_035109/details/training_log.txt +51 -0

Efficiency-Series (E-Base, E-Test-1~15)/E-test-9-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_021211/details/dataset_indices.txt ADDED Viewed

	@@ -0,0 +1,21 @@

+Dataset Split Indices
+============================================================
+Random Seed: 42
+Split Ratio (Train:Val:Test): [0, 0, 0]
+Total GM Count: 198018
+Train Indices (88320 samples):
+  Range: [342, 198017]
+  First 10: [61560, 61561, 61562, 61564, 61565, 61566, 61567, 61569, 61570, 61571]
+  Last 10: [1299, 1300, 1301, 1303, 1304, 1305, 1306, 1308, 1309, 1310]
+Validation Indices (22080 samples):
+  Range: [0, 197846]
+  First 10: [3021, 3022, 3023, 3025, 3026, 3027, 3028, 3030, 3031, 3032]
+  Last 10: [61833, 61834, 61835, 61837, 61838, 61839, 61840, 61842, 61843, 61844]
+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-9-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_021211/details/results.txt ADDED Viewed

	@@ -0,0 +1,26 @@

+Regression Test Results - Efficiency Analysis
+============================================================
+Model Version: 1.0+_E (Standard FNO)
+Efficiency Analysis:
+  - Train GMs Used: 2400
+  - 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:  0.058973
+RMSE:      0.242844
+MAE:       0.125832
+R² Score:  0.924047
+============================================================
+Training Performance:
+  - Total Training Time: 6145.87s
+  - Average Epoch Time:  122.92s
+============================================================

Huge-FNO_v1.0+_h128_m1024_l12_e50_20251206_132248/details/dataset_indices.txt ADDED Viewed

	@@ -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]

Huge-FNO_v1.0+_h128_m1024_l12_e50_20251206_132248/details/results.txt ADDED Viewed

	@@ -0,0 +1,22 @@

+Regression Test Results - KNET Test Split
+============================================================
+Model Version: 1.0+ (Standard FNO)
+Model Configuration:
+  - Hidden Channels: 128
+  - Fourier Modes: 1024
+  - Number of Layers: 12
+  - Domain Padding: 0.1
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.042197
+RMSE:      0.205420
+MAE:       0.102832
+R² Score:  0.944958
+============================================================
+Training Performance:
+  - Total Training Time: 21074.25s
+  - Average Epoch Time:  421.48s
+============================================================

Huge-FNO_v1.0+_h128_m1024_l12_e50_20251206_132248/details/training_config.txt ADDED Viewed

	@@ -0,0 +1,67 @@

+======================================================================
+FNO v1.0 Training Configuration (Standard FNO)
+======================================================================
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+
+Model Type:           Standard FNO (neuralop)
+Fourier Modes:        1024
+Hidden Channels:      128
+Number of Layers:     12
+Domain Padding:       0.1
+Projection Ratio:     2
+Input Channels:       1
+Output Channels:      1
+Grid Size:            3000
+Total Parameters:     101,325,441
+Trainable Parameters: 101,325,441
+TRAINING PARAMETERS
+----------------------------------------------------------------------
+Batch Size:           512
+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/Huge-FNO_v1.0+_h128_m1024_l12_e50_20251206_132248
+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)
+======================================================================

Huge-FNO_v1.0+_h128_m1024_l12_e50_20251206_132248/details/training_log.txt ADDED Viewed

	@@ -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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+46,0.006187,0.078658,0.042149,0.992213,0.043516,0.208605,0.100291,0.944285,2.50e-04,405.63
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+49,0.006144,0.078386,0.041827,0.992266,0.043488,0.208537,0.100542,0.944324,2.50e-04,401.63
+50,0.006253,0.079077,0.042246,0.992130,0.043698,0.209040,0.100644,0.944053,2.50e-04,403.62

Large-FNO_v1.0+_h64_m512_l8_e50_20251206_101922/details/dataset_indices.txt ADDED Viewed

	@@ -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]

Large-FNO_v1.0+_h64_m512_l8_e50_20251206_101922/details/results.txt ADDED Viewed

	@@ -0,0 +1,22 @@

+Regression Test Results - KNET Test Split
+============================================================
+Model Version: 1.0+ (Standard FNO)
+Model Configuration:
+  - Hidden Channels: 64
+  - Fourier Modes: 512
+  - Number of Layers: 8
+  - Domain Padding: 0.1
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.081990
+RMSE:      0.286339
+MAE:       0.148037
+R² Score:  0.893027
+============================================================
+Training Performance:
+  - Total Training Time: 10979.56s
+  - Average Epoch Time:  219.59s
+============================================================

Large-FNO_v1.0+_h64_m512_l8_e50_20251206_101922/details/training_config.txt ADDED Viewed

	@@ -0,0 +1,67 @@

+======================================================================
+FNO v1.0 Training Configuration (Standard FNO)
+======================================================================
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+
+Model Type:           Standard FNO (neuralop)
+Fourier Modes:        512
+Hidden Channels:      64
+Number of Layers:     8
+Domain Padding:       0.1
+Projection Ratio:     2
+Input Channels:       1
+Output Channels:      1
+Grid Size:            3000
+Total Parameters:     8,505,793
+Trainable Parameters: 8,505,793
+TRAINING PARAMETERS
+----------------------------------------------------------------------
+Batch Size:           1536
+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/Large-FNO_v1.0+_h64_m512_l8_e50_20251206_101922
+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)
+======================================================================

Large-FNO_v1.0+_h64_m512_l8_e50_20251206_101922/details/training_log.txt ADDED Viewed

	@@ -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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+50,0.023150,0.152152,0.091759,0.970875,0.082816,0.287778,0.145638,0.894222,2.50e-04,213.60

Test-Series (Test-1~10)/Test-1-FNO_v1.0+_h64_m128_l4_e50_20251205_090131/details/dataset_indices.txt ADDED Viewed

	@@ -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]

Test-Series (Test-1~10)/Test-1-FNO_v1.0+_h64_m128_l4_e50_20251205_090131/details/results.txt ADDED Viewed

	@@ -0,0 +1,22 @@

+Regression Test Results - KNET Test Split
+============================================================
+Model Version: 1.0+ (Standard FNO)
+Model Configuration:
+  - Hidden Channels: 64
+  - Fourier Modes: 128
+  - Number of Layers: 4
+  - Domain Padding: 0.1
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.169225
+RMSE:      0.411370
+MAE:       0.232763
+R² Score:  0.778919
+============================================================
+Training Performance:
+  - Total Training Time: 8586.78s
+  - Average Epoch Time:  171.74s
+============================================================

Test-Series (Test-1~10)/Test-1-FNO_v1.0+_h64_m128_l4_e50_20251205_090131/details/training_config.txt ADDED Viewed

	@@ -0,0 +1,67 @@

+======================================================================
+FNO v1.0 Training Configuration (Standard FNO)
+======================================================================
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+
+Model Type:           Standard FNO (neuralop)
+Fourier Modes:        128
+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:     1,115,713
+Trainable Parameters: 1,115,713
+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/Test-1-FNO_v1.0+_h64_m128_l4_e50_20251205_090131
+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)
+======================================================================

Test-Series (Test-1~10)/Test-1-FNO_v1.0+_h64_m128_l4_e50_20251205_090131/details/training_log.txt ADDED Viewed

	@@ -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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Test-Series (Test-1~10)/Test-10-FNO_v1.0+_h64_m64_l12_e50_20251206_064433/details/dataset_indices.txt ADDED Viewed

	@@ -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]

Test-Series (Test-1~10)/Test-10-FNO_v1.0+_h64_m64_l12_e50_20251206_064433/details/results.txt ADDED Viewed

	@@ -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: 12
+  - Domain Padding: 0.1
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.214952
+RMSE:      0.463630
+MAE:       0.248908
+R² Score:  0.727234
+============================================================
+Training Performance:
+  - Total Training Time: 12861.77s
+  - Average Epoch Time:  257.24s
+============================================================

Test-Series (Test-1~10)/Test-10-FNO_v1.0+_h64_m64_l12_e50_20251206_064433/details/training_config.txt ADDED Viewed

	@@ -0,0 +1,67 @@

+======================================================================
+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:     12
+Domain Padding:       0.1
+Projection Ratio:     2
+Input Channels:       1
+Output Channels:      1
+Grid Size:            3000
+Total Parameters:     1,740,097
+Trainable Parameters: 1,740,097
+TRAINING PARAMETERS
+----------------------------------------------------------------------
+Batch Size:           1152
+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/Test-10-FNO_v1.0+_h64_m64_l12_e50_20251206_064433
+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)
+======================================================================

Test-Series (Test-1~10)/Test-10-FNO_v1.0+_h64_m64_l12_e50_20251206_064433/details/training_log.txt ADDED Viewed

	@@ -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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Test-Series (Test-1~10)/Test-2-FNO_v1.0+_h64_m512_l4_e50_20251205_112502/details/dataset_indices.txt ADDED Viewed

	@@ -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]

Test-Series (Test-1~10)/Test-2-FNO_v1.0+_h64_m512_l4_e50_20251205_112502/details/results.txt ADDED Viewed

	@@ -0,0 +1,22 @@

+Regression Test Results - KNET Test Split
+============================================================
+Model Version: 1.0+ (Standard FNO)
+Model Configuration:
+  - Hidden Channels: 64
+  - Fourier Modes: 512
+  - Number of Layers: 4
+  - Domain Padding: 0.1
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.088106
+RMSE:      0.296827
+MAE:       0.158130
+R² Score:  0.884791
+============================================================
+Training Performance:
+  - Total Training Time: 8521.00s
+  - Average Epoch Time:  170.42s
+============================================================

Test-Series (Test-1~10)/Test-2-FNO_v1.0+_h64_m512_l4_e50_20251205_112502/details/training_config.txt ADDED Viewed

	@@ -0,0 +1,67 @@

+======================================================================
+FNO v1.0 Training Configuration (Standard FNO)
+======================================================================
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+
+Model Type:           Standard FNO (neuralop)
+Fourier Modes:        512
+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:     4,261,441
+Trainable Parameters: 4,261,441
+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/Test-2-FNO_v1.0+_h64_m512_l4_e50_20251205_112502
+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)
+======================================================================

Test-Series (Test-1~10)/Test-2-FNO_v1.0+_h64_m512_l4_e50_20251205_112502/details/training_log.txt ADDED Viewed

	@@ -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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Test-Series (Test-1~10)/Test-3-FNO_v1.0+_h64_m1024_l4_e50_20251205_134726/details/dataset_indices.txt ADDED Viewed

	@@ -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]

Test-Series (Test-1~10)/Test-3-FNO_v1.0+_h64_m1024_l4_e50_20251205_134726/details/results.txt ADDED Viewed

	@@ -0,0 +1,22 @@

+Regression Test Results - KNET Test Split
+============================================================
+Model Version: 1.0+ (Standard FNO)
+Model Configuration:
+  - Hidden Channels: 64
+  - Fourier Modes: 1024
+  - Number of Layers: 4
+  - Domain Padding: 0.1
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.058579
+RMSE:      0.242030
+MAE:       0.127113
+R² Score:  0.923515
+============================================================
+Training Performance:
+  - Total Training Time: 8676.81s
+  - Average Epoch Time:  173.54s
+============================================================

Test-Series (Test-1~10)/Test-3-FNO_v1.0+_h64_m1024_l4_e50_20251205_134726/details/training_config.txt ADDED Viewed

	@@ -0,0 +1,67 @@

+======================================================================
+FNO v1.0 Training Configuration (Standard FNO)
+======================================================================
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+
+Model Type:           Standard FNO (neuralop)
+Fourier Modes:        1024
+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:     8,455,745
+Trainable Parameters: 8,455,745
+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/Test-3-FNO_v1.0+_h64_m1024_l4_e50_20251205_134726
+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)
+======================================================================

Test-Series (Test-1~10)/Test-3-FNO_v1.0+_h64_m1024_l4_e50_20251205_134726/details/training_log.txt ADDED Viewed

	@@ -0,0 +1,51 @@

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Test-Series (Test-1~10)/Test-4-FNO_v1.0+_h64_m1536_l4_e50_20251205_161228/details/dataset_indices.txt ADDED Viewed

	@@ -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]

Test-Series (Test-1~10)/Test-4-FNO_v1.0+_h64_m1536_l4_e50_20251205_161228/details/results.txt ADDED Viewed

	@@ -0,0 +1,22 @@

+Regression Test Results - KNET Test Split
+============================================================
+Model Version: 1.0+ (Standard FNO)
+Model Configuration:
+  - Hidden Channels: 64
+  - Fourier Modes: 1536
+  - Number of Layers: 4
+  - Domain Padding: 0.1
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.055238
+RMSE:      0.235028
+MAE:       0.120979
+R² Score:  0.927889
+============================================================
+Training Performance:
+  - Total Training Time: 10816.16s
+  - Average Epoch Time:  216.32s
+============================================================

Test-Series (Test-1~10)/Test-4-FNO_v1.0+_h64_m1536_l4_e50_20251205_161228/details/training_config.txt ADDED Viewed

	@@ -0,0 +1,67 @@

+======================================================================
+FNO v1.0 Training Configuration (Standard FNO)
+======================================================================
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+
+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
+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/Test-4-FNO_v1.0+_h64_m1536_l4_e50_20251205_161228
+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)
+======================================================================

Test-Series (Test-1~10)/Test-4-FNO_v1.0+_h64_m1536_l4_e50_20251205_161228/details/training_log.txt ADDED Viewed

	@@ -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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Test-Series (Test-1~10)/Test-5-FNO_v1.0+_h16_m64_l4_e50_20251205_191306/details/dataset_indices.txt ADDED Viewed

	@@ -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]

Test-Series (Test-1~10)/Test-5-FNO_v1.0+_h16_m64_l4_e50_20251205_191306/details/results.txt ADDED Viewed

	@@ -0,0 +1,22 @@

+Regression Test Results - KNET Test Split
+============================================================
+Model Version: 1.0+ (Standard FNO)
+Model Configuration:
+  - Hidden Channels: 16
+  - Fourier Modes: 64
+  - Number of Layers: 4
+  - Domain Padding: 0.1
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.472161
+RMSE:      0.687140
+MAE:       0.412319
+R² Score:  0.383188
+============================================================
+Training Performance:
+  - Total Training Time: 6579.73s
+  - Average Epoch Time:  131.59s
+============================================================

Test-Series (Test-1~10)/Test-5-FNO_v1.0+_h16_m64_l4_e50_20251205_191306/details/training_config.txt ADDED Viewed

	@@ -0,0 +1,67 @@

+======================================================================
+FNO v1.0 Training Configuration (Standard FNO)
+======================================================================
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+
+Model Type:           Standard FNO (neuralop)
+Fourier Modes:        64
+Hidden Channels:      16
+Number of Layers:     4
+Domain Padding:       0.1
+Projection Ratio:     2
+Input Channels:       1
+Output Channels:      1
+Grid Size:            3000
+Total Parameters:     37,265
+Trainable Parameters: 37,265
+TRAINING PARAMETERS
+----------------------------------------------------------------------
+Batch Size:           5120
+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/Test-5-FNO_v1.0+_h16_m64_l4_e50_20251205_191306
+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)
+======================================================================

Test-Series (Test-1~10)/Test-5-FNO_v1.0+_h16_m64_l4_e50_20251205_191306/details/training_log.txt ADDED Viewed

	@@ -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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+46,0.491581,0.701129,0.423543,0.380644,0.480694,0.693321,0.415278,0.388630,2.50e-04,131.37
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+48,0.488866,0.699189,0.422215,0.384482,0.477654,0.691125,0.413922,0.392496,2.50e-04,131.35
+49,0.487304,0.698072,0.421586,0.386339,0.476308,0.690151,0.413294,0.394210,2.50e-04,131.46
+50,0.486413,0.697433,0.420992,0.388187,0.475099,0.689274,0.412935,0.395720,2.50e-04,131.28

Test-Series (Test-1~10)/Test-6-FNO_v1.0+_h32_m64_l4_e50_20251205_210306/details/dataset_indices.txt ADDED Viewed

	@@ -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]

Test-Series (Test-1~10)/Test-6-FNO_v1.0+_h32_m64_l4_e50_20251205_210306/details/results.txt ADDED Viewed

	@@ -0,0 +1,22 @@

+Regression Test Results - KNET Test Split
+============================================================
+Model Version: 1.0+ (Standard FNO)
+Model Configuration:
+  - Hidden Channels: 32
+  - Fourier Modes: 64
+  - Number of Layers: 4
+  - Domain Padding: 0.1
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.373559
+RMSE:      0.611195
+MAE:       0.360336
+R² Score:  0.511442
+============================================================
+Training Performance:
+  - Total Training Time: 7109.13s
+  - Average Epoch Time:  142.18s
+============================================================

Test-Series (Test-1~10)/Test-6-FNO_v1.0+_h32_m64_l4_e50_20251205_210306/details/training_config.txt ADDED Viewed

	@@ -0,0 +1,67 @@

+======================================================================
+FNO v1.0 Training Configuration (Standard FNO)
+======================================================================
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+
+Model Type:           Standard FNO (neuralop)
+Fourier Modes:        64
+Hidden Channels:      32
+Number of Layers:     4
+Domain Padding:       0.1
+Projection Ratio:     2
+Input Channels:       1
+Output Channels:      1
+Grid Size:            3000
+Total Parameters:     148,257
+Trainable Parameters: 148,257
+TRAINING PARAMETERS
+----------------------------------------------------------------------
+Batch Size:           5120
+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/Test-6-FNO_v1.0+_h32_m64_l4_e50_20251205_210306
+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)
+======================================================================

Test-Series (Test-1~10)/Test-6-FNO_v1.0+_h32_m64_l4_e50_20251205_210306/details/training_log.txt ADDED Viewed

	@@ -0,0 +1,51 @@

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Test-Series (Test-1~10)/Test-7-FNO_v1.0+_h128_m64_l4_e50_20251205_230156/details/dataset_indices.txt ADDED Viewed

	@@ -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]

Test-Series (Test-1~10)/Test-7-FNO_v1.0+_h128_m64_l4_e50_20251205_230156/details/results.txt ADDED Viewed

	@@ -0,0 +1,22 @@

+Regression Test Results - KNET Test Split
+============================================================
+Model Version: 1.0+ (Standard FNO)
+Model Configuration:
+  - Hidden Channels: 128
+  - Fourier Modes: 64
+  - Number of Layers: 4
+  - Domain Padding: 0.1
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.236821
+RMSE:      0.486643
+MAE:       0.266852
+R² Score:  0.692593
+============================================================
+Training Performance:
+  - Total Training Time: 10285.44s
+  - Average Epoch Time:  205.71s
+============================================================

Test-Series (Test-1~10)/Test-7-FNO_v1.0+_h128_m64_l4_e50_20251205_230156/details/training_config.txt ADDED Viewed

	@@ -0,0 +1,67 @@

+======================================================================
+FNO v1.0 Training Configuration (Standard FNO)
+======================================================================
+MODEL ARCHITECTURE
+----------------------------------------------------------------------
+Model Version:        1.0+
+Model Type:           Standard FNO (neuralop)
+Fourier Modes:        64
+Hidden Channels:      128
+Number of Layers:     4
+Domain Padding:       0.1
+Projection Ratio:     2
+Input Channels:       1
+Output Channels:      1
+Grid Size:            3000
+Total Parameters:     2,362,497
+Trainable Parameters: 2,362,497
+TRAINING PARAMETERS
+----------------------------------------------------------------------
+Batch Size:           1280
+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/Test-7-FNO_v1.0+_h128_m64_l4_e50_20251205_230156
+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)
+======================================================================

Test-Series (Test-1~10)/Test-7-FNO_v1.0+_h128_m64_l4_e50_20251205_230156/details/training_log.txt ADDED Viewed

	@@ -0,0 +1,51 @@

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Test-Series (Test-1~10)/Test-8-FNO_v1.0+_h64_m64_l2_e50_20251206_015346/details/dataset_indices.txt ADDED Viewed

	@@ -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]

Test-Series (Test-1~10)/Test-8-FNO_v1.0+_h64_m64_l2_e50_20251206_015346/details/results.txt ADDED Viewed

	@@ -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: 2
+  - Domain Padding: 0.1
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.331539
+RMSE:      0.575794
+MAE:       0.335966
+R² Score:  0.567175
+============================================================
+Training Performance:
+  - Total Training Time: 7023.40s
+  - Average Epoch Time:  140.47s
+============================================================

Test-Series (Test-1~10)/Test-8-FNO_v1.0+_h64_m64_l2_e50_20251206_015346/details/training_config.txt ADDED Viewed

	@@ -0,0 +1,67 @@

+======================================================================
+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:     2
+Domain Padding:       0.1
+Projection Ratio:     2
+Input Channels:       1
+Output Channels:      1
+Grid Size:            3000
+Total Parameters:     304,257
+Trainable Parameters: 304,257
+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/Test-8-FNO_v1.0+_h64_m64_l2_e50_20251206_015346
+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)
+======================================================================

Test-Series (Test-1~10)/Test-8-FNO_v1.0+_h64_m64_l2_e50_20251206_015346/details/training_log.txt ADDED Viewed

	@@ -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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Test-Series (Test-1~10)/Test-9-FNO_v1.0+_h64_m64_l8_e50_20251206_035109/details/dataset_indices.txt ADDED Viewed

	@@ -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]

Test-Series (Test-1~10)/Test-9-FNO_v1.0+_h64_m64_l8_e50_20251206_035109/details/results.txt ADDED Viewed

	@@ -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: 8
+  - Domain Padding: 0.1
+REGRESSION (Floor Acceleration Response)
+------------------------------------------------------------
+MSE Loss:  0.204890
+RMSE:      0.452648
+MAE:       0.252715
+R² Score:  0.732897
+============================================================
+Training Performance:
+  - Total Training Time: 10378.68s
+  - Average Epoch Time:  207.57s
+============================================================

Test-Series (Test-1~10)/Test-9-FNO_v1.0+_h64_m64_l8_e50_20251206_035109/details/training_config.txt ADDED Viewed

	@@ -0,0 +1,67 @@

+======================================================================
+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:     8
+Domain Padding:       0.1
+Projection Ratio:     2
+Input Channels:       1
+Output Channels:      1
+Grid Size:            3000
+Total Parameters:     1,165,761
+Trainable Parameters: 1,165,761
+TRAINING PARAMETERS
+----------------------------------------------------------------------
+Batch Size:           1536
+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/Test-9-FNO_v1.0+_h64_m64_l8_e50_20251206_035109
+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)
+======================================================================

Test-Series (Test-1~10)/Test-9-FNO_v1.0+_h64_m64_l8_e50_20251206_035109/details/training_log.txt ADDED Viewed

	@@ -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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