diff --git a/Base-FNO_v1.0+_h64_m64_l4_e50_20251205_063911/details/dataset_indices.txt b/Base-FNO_v1.0+_h64_m64_l4_e50_20251205_063911/details/dataset_indices.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1906cc3bb13856108c5d37cdf4935a471e5e30c --- /dev/null +++ b/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] diff --git a/Base-FNO_v1.0+_h64_m64_l4_e50_20251205_063911/details/results.txt b/Base-FNO_v1.0+_h64_m64_l4_e50_20251205_063911/details/results.txt new file mode 100644 index 0000000000000000000000000000000000000000..5016524f38f9abd169fd82f7ae0a0b3a1f46400a --- /dev/null +++ b/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 +============================================================ diff --git a/Base-FNO_v1.0+_h64_m64_l4_e50_20251205_063911/details/training_config.txt b/Base-FNO_v1.0+_h64_m64_l4_e50_20251205_063911/details/training_config.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5255c6037ba3091f29a6eaa97cbec0b8d627c6e --- /dev/null +++ b/Base-FNO_v1.0+_h64_m64_l4_e50_20251205_063911/details/training_config.txt @@ -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: 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) + +====================================================================== diff --git a/Base-FNO_v1.0+_h64_m64_l4_e50_20251205_063911/details/training_log.txt b/Base-FNO_v1.0+_h64_m64_l4_e50_20251205_063911/details/training_log.txt new file mode 100644 index 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E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/details/dataset_indices.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/details/dataset_indices.txt new file mode 100644 index 0000000000000000000000000000000000000000..6bb886548abd286ca1400d77e4cb538971fbb6d3 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/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 (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] diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/details/results.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/details/results.txt new file mode 100644 index 0000000000000000000000000000000000000000..d8b5e66565ece7c3c7490209d963e96d7f909ac6 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/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: 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 +============================================================ diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/details/training_config.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/details/training_config.txt new file mode 100644 index 0000000000000000000000000000000000000000..05c982d804695934d921ad2ec4cb7853a0512391 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/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: 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) + +====================================================================== diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/details/training_log.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/details/training_log.txt new file mode 100644 index 0000000000000000000000000000000000000000..208a9871f031f21a168ee404747e68175a6bf7fb --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/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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E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/model/fno_vE-Base.1.0+.E_epoch40_mse0.0536_r20.9317_20251208_102956.pth b/Efficiency-Series (E-Base, E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/model/fno_vE-Base.1.0+.E_epoch40_mse0.0536_r20.9317_20251208_102956.pth new file mode 100644 index 0000000000000000000000000000000000000000..936856cc677980436d2300026658b840c4ad6d43 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-Base-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_083402/model/fno_vE-Base.1.0+.E_epoch40_mse0.0536_r20.9317_20251208_102956.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3e8eba7e1d842bb4e854eeb49a27c3eab38a8a688d658d5eeaceee76115eb661 +size 303053571 diff --git a/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 b/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 new file mode 100644 index 0000000000000000000000000000000000000000..616cb92a3348158d05e1245dde5fcedda956cc1b --- /dev/null +++ b/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 @@ -0,0 +1,21 @@ +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] + +Validation Indices (27600 samples): + 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] + +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] diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-1-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_105908/details/results.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-1-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_105908/details/results.txt new file mode 100644 index 0000000000000000000000000000000000000000..960938c6d7c6528ebcf4ca11111bc8287663db44 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-1-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_105908/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: 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 +============================================================ diff --git a/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 b/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 new file mode 100644 index 0000000000000000000000000000000000000000..4fd0bf0c913e148a4f32fb6e0505a16d4ca155d3 --- /dev/null +++ b/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 @@ -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: 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) + +====================================================================== diff --git a/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 b/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 new file mode 100644 index 0000000000000000000000000000000000000000..a2a911a3d6378a3cd15676f10e121d8a34aa1167 --- /dev/null +++ b/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 @@ -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) +1,0.492072,0.701479,0.416184,0.372684,0.263695,0.513512,0.311554,0.666411,1.00e-03,133.48 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+Train Indices (48960 samples): + Range: [0, 197960] + First 10: [88749, 88751, 88752, 88754, 88756, 88757, 88759, 88761, 88763, 88764] + Last 10: [151376, 151377, 151379, 151381, 151383, 151384, 151386, 151388, 151389, 151391] + +Validation Indices (12240 samples): + 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] + +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] diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-10-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_035505/details/results.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-10-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_035505/details/results.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9bffa7abd814649bd0124c28df8455631e5abe3 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-10-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_035505/details/results.txt @@ -0,0 +1,26 @@ +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 +============================================================ diff --git a/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 b/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 new file mode 100644 index 0000000000000000000000000000000000000000..f4397d25a76ec8633ba32ee42b19da4acc7afdc0 --- /dev/null +++ b/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) + +====================================================================== diff --git a/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 b/Efficiency-Series (E-Base, 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diff --git a/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 b/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 new file mode 100644 index 0000000000000000000000000000000000000000..699af627dfba6a3aba84981f176d7f4c5e21daad --- /dev/null +++ b/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] diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-11-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_044539/details/results.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-11-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_044539/details/results.txt new file mode 100644 index 0000000000000000000000000000000000000000..5963c9143709afed772d4f75273a4504b6e60cf7 --- /dev/null +++ b/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 +============================================================ diff --git a/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 b/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 new file mode 100644 index 0000000000000000000000000000000000000000..fe159a68d80e234f548568acfac49698bf112f03 --- /dev/null +++ b/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) + +====================================================================== diff --git a/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 b/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 new file mode 100644 index 0000000000000000000000000000000000000000..6ecb18e06b6c50462c6c7db90017610eb5bc3ea2 --- /dev/null +++ b/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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180974] diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-12-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_050844/details/results.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-12-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_050844/details/results.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e496e3de889a906f9dcb3506a4eb737362d4068 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-12-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_050844/details/results.txt @@ -0,0 +1,26 @@ +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 +============================================================ diff --git a/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 b/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 new file mode 100644 index 0000000000000000000000000000000000000000..929ec5b8456b3c4eb930b26ad9c2c737fd71bee3 --- /dev/null +++ b/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 @@ -0,0 +1,72 @@ +====================================================================== +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) + 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E-Test-1~15)/E-test-13-FNO_v1.0+.E_h64_m1536_l4_e50_20251210_063342/details/dataset_indices.txt new file mode 100644 index 0000000000000000000000000000000000000000..d92292fa8e83118e2af853408de2e20b9186c439 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-13-FNO_v1.0+.E_h64_m1536_l4_e50_20251210_063342/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 (14400 samples): + 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] + +Validation Indices (3600 samples): + 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] + +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] diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-13-FNO_v1.0+.E_h64_m1536_l4_e50_20251210_063342/details/results.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-13-FNO_v1.0+.E_h64_m1536_l4_e50_20251210_063342/details/results.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d71532be52b2ecee0759dbfdcf6abb63eb219b7 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-13-FNO_v1.0+.E_h64_m1536_l4_e50_20251210_063342/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: 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 +============================================================ diff --git a/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 b/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 new file mode 100644 index 0000000000000000000000000000000000000000..2006545b31d14460a3dbd885c3e1bbc2b69d4461 --- /dev/null +++ b/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 @@ -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: 6 +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: 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) + +====================================================================== diff --git a/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 b/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 new file mode 100644 index 0000000000000000000000000000000000000000..40846a2f8a549517dfc9258104734ae7c09a1828 --- /dev/null +++ b/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 @@ -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) +1,0.789521,0.888550,0.497189,0.004831,0.779280,0.882768,0.491265,0.029133,1.00e-03,30.72 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+46,0.071553,0.267495,0.147730,0.909422,0.084708,0.291046,0.156452,0.893749,2.50e-04,17.45 +47,0.071074,0.266598,0.147147,0.909994,0.084277,0.290305,0.156115,0.894275,2.50e-04,17.52 +48,0.070755,0.265997,0.146605,0.910601,0.083864,0.289592,0.155824,0.894775,2.50e-04,17.56 +49,0.070306,0.265153,0.146141,0.911183,0.083540,0.289033,0.155147,0.895192,2.50e-04,17.52 +50,0.069819,0.264232,0.145520,0.911754,0.083356,0.288714,0.154768,0.895469,2.50e-04,17.53 diff --git a/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 b/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 new file mode 100644 index 0000000000000000000000000000000000000000..0b7762a4b0f9031f87852bbc09d87fa1d28bf671 --- /dev/null +++ b/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] diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-14-FNO_v1.0+.E_h64_m1536_l4_e50_20251210_064916/details/results.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-14-FNO_v1.0+.E_h64_m1536_l4_e50_20251210_064916/details/results.txt new file mode 100644 index 0000000000000000000000000000000000000000..75af03f9c83bb6d67ccd0b2b9b73fbfe225ae9a3 --- /dev/null +++ b/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 +============================================================ diff --git a/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 b/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 new file mode 100644 index 0000000000000000000000000000000000000000..6d45f6f57a0a835053eb57269e9a1c21b058f108 --- /dev/null +++ b/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) + +====================================================================== diff --git a/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 b/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 new file mode 100644 index 0000000000000000000000000000000000000000..fdf03686007abca864da336384c928a5ef68e3a3 --- /dev/null +++ b/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) +1,0.820923,0.906048,0.469079,0.000255,0.817786,0.904315,0.463599,0.009702,1.00e-03,15.51 +2,0.808860,0.899367,0.464444,0.015852,0.790292,0.888984,0.459249,0.042996,1.00e-03,8.89 +3,0.764084,0.874119,0.456935,0.067520,0.705140,0.839726,0.435769,0.146111,1.00e-03,8.69 +4,0.662514,0.813950,0.427202,0.189448,0.607822,0.779629,0.408851,0.263958,1.00e-03,8.88 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+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 diff --git a/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 b/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 new file mode 100644 index 0000000000000000000000000000000000000000..4c6459cee18efed4412c0ce2126539562effb6fa --- /dev/null +++ b/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] diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-2-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_125210/details/results.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-2-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_125210/details/results.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a789ce180c53afd854ccd1b5f3036ab45fb2211 --- /dev/null +++ b/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 +============================================================ diff --git a/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 b/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 new file mode 100644 index 0000000000000000000000000000000000000000..40bf63c51b8c80d335500a15da1f0710c868066d --- /dev/null +++ b/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) + +====================================================================== diff --git a/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 b/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 new file mode 100644 index 0000000000000000000000000000000000000000..38b0a2d791c952be225e0b77e4ed7daa158504cc --- /dev/null +++ b/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) +1,0.559734,0.748154,0.442959,0.292049,0.325001,0.570088,0.346644,0.589603,1.00e-03,105.10 +2,0.253526,0.503514,0.307686,0.679591,0.197246,0.444124,0.270430,0.750906,1.00e-03,99.56 +3,0.156805,0.395986,0.240629,0.801845,0.132264,0.363681,0.217139,0.832943,1.00e-03,98.53 +4,0.112849,0.335931,0.199447,0.857442,0.105284,0.324475,0.187113,0.867016,1.00e-03,98.90 +5,0.091969,0.303264,0.176091,0.883843,0.090835,0.301389,0.171937,0.885261,1.00e-03,98.49 +6,0.079590,0.282117,0.161163,0.899484,0.081738,0.285898,0.159998,0.896750,1.00e-03,96.64 +7,0.071805,0.267965,0.151551,0.909319,0.076325,0.276269,0.153292,0.903587,1.00e-03,95.46 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E-Test-1~15)/E-test-3-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_141228/details/dataset_indices.txt b/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 new file mode 100644 index 0000000000000000000000000000000000000000..239e643b37aa88dbdb83464f029cebe0a5d8c0d8 --- /dev/null +++ b/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] diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-3-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_141228/details/results.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-3-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_141228/details/results.txt new file mode 100644 index 0000000000000000000000000000000000000000..fdc0afdcd652276e69588f6b992aa327b741cf7b --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-3-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_141228/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: 23 + +Model Configuration: + - Hidden Channels: 64 + - Fourier Modes: 1536 + - Number of Layers: 4 + - Domain Padding: 0.1 + +REGRESSION (Floor Acceleration Response) +------------------------------------------------------------ +MSE Loss: 0.057296 +RMSE: 0.239365 +MAE: 0.124523 +R² Score: 0.926211 + +============================================================ +Training Performance: + - Total Training Time: 3283.90s + - Average Epoch Time: 65.68s +============================================================ diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-3-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_141228/details/training_config.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-3-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_141228/details/training_config.txt new file mode 100644 index 0000000000000000000000000000000000000000..8099374241dacbc76e1049ba44d763eb99d6f533 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-3-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_141228/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: 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: 55200 +Validation Samples: 13800 +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-3-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_141228 + +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) + +====================================================================== diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-3-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_141228/details/training_log.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-3-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_141228/details/training_log.txt new file mode 100644 index 0000000000000000000000000000000000000000..a5209b25edcd3d0e46a2054950be295bd8f1975f --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-3-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_141228/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) +1,0.656478,0.810234,0.478883,0.165022,0.414679,0.643956,0.392554,0.471293,1.00e-03,69.34 +2,0.327088,0.571916,0.349475,0.585259,0.261384,0.511257,0.311781,0.666856,1.00e-03,64.31 +3,0.224633,0.473955,0.290494,0.715283,0.187059,0.432504,0.263946,0.761829,1.00e-03,64.36 +4,0.160363,0.400454,0.243776,0.797138,0.141011,0.375514,0.224770,0.820417,1.00e-03,64.19 +5,0.124736,0.353179,0.210883,0.842146,0.115665,0.340095,0.200781,0.852681,1.00e-03,64.04 +6,0.103659,0.321961,0.188867,0.868887,0.100371,0.316815,0.183866,0.872101,1.00e-03,64.40 +7,0.090662,0.301102,0.174601,0.885390,0.089880,0.299801,0.171064,0.885357,1.00e-03,64.19 +8,0.081812,0.286027,0.164421,0.896665,0.083196,0.288437,0.163373,0.893858,1.00e-03,64.33 +9,0.074743,0.273392,0.155047,0.905583,0.078219,0.279676,0.156961,0.900152,1.00e-03,64.29 +10,0.069794,0.264186,0.149281,0.911793,0.074921,0.273718,0.152444,0.904318,1.00e-03,64.30 +11,0.066070,0.257040,0.145068,0.916505,0.072274,0.268838,0.150450,0.907739,1.00e-03,64.33 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+45,0.035119,0.187401,0.104237,0.955676,0.056846,0.238423,0.124998,0.927442,2.50e-04,67.99 +46,0.034976,0.187019,0.104048,0.955849,0.056963,0.238668,0.125215,0.927310,2.50e-04,68.75 +47,0.034779,0.186491,0.103787,0.956126,0.056899,0.238535,0.124944,0.927397,2.50e-04,68.92 +48,0.034738,0.186382,0.103780,0.956097,0.057130,0.239019,0.125393,0.927103,2.50e-04,70.12 +49,0.034440,0.185580,0.103371,0.956502,0.056812,0.238352,0.124641,0.927465,2.50e-04,70.41 +50,0.034115,0.184703,0.103039,0.956875,0.056756,0.238234,0.124619,0.927548,2.50e-04,70.95 diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-4-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_150739/details/dataset_indices.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-4-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_150739/details/dataset_indices.txt new file mode 100644 index 0000000000000000000000000000000000000000..31b00e4c3ff3c1c4af8cf8068f7d19696b318eb8 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-4-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_150739/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 (26400 samples): + Range: [114, 197960] + First 10: [42294, 42300, 42305, 42311, 42316, 42322, 42328, 42333, 42339, 42344] + Last 10: [1260, 1265, 1271, 1276, 1282, 1288, 1293, 1299, 1304, 1310] + +Validation Indices (6600 samples): + Range: [0, 198017] + First 10: [84132, 84138, 84143, 84149, 84154, 84160, 84166, 84171, 84177, 84182] + Last 10: [16935, 16940, 16946, 16951, 16957, 16963, 16968, 16974, 16979, 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] diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-4-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_150739/details/results.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-4-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_150739/details/results.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6fdcd24e7dc30328bfac138ae867d2269370b50 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-4-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_150739/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: 11 + +Model Configuration: + - Hidden Channels: 64 + - Fourier Modes: 1536 + - Number of Layers: 4 + - Domain Padding: 0.1 + +REGRESSION (Floor Acceleration Response) +------------------------------------------------------------ +MSE Loss: 0.065330 +RMSE: 0.255597 +MAE: 0.138631 +R² Score: 0.915843 + +============================================================ +Training Performance: + - Total Training Time: 1628.95s + - Average Epoch Time: 32.58s +============================================================ diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-4-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_150739/details/training_config.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-4-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_150739/details/training_config.txt new file mode 100644 index 0000000000000000000000000000000000000000..06341f2b03fc8c4dfe0da4134cd27a64bd7c4b2f --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-4-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_150739/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: 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: 26400 +Validation Samples: 6600 +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-4-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_150739 + +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) + +====================================================================== diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-4-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_150739/details/training_log.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-4-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_150739/details/training_log.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e59af9105c83a8b96db71ab3b614e62499bcc91 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-4-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_150739/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) +1,0.764613,0.874422,0.507091,0.029428,0.652291,0.807645,0.470524,0.179808,1.00e-03,37.60 +2,0.541722,0.736018,0.436850,0.308311,0.420844,0.648725,0.387679,0.471689,1.00e-03,32.25 +3,0.362155,0.601793,0.366202,0.538524,0.322229,0.567652,0.339290,0.595715,1.00e-03,32.19 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+48,0.052075,0.228199,0.125834,0.934392,0.066015,0.256934,0.137793,0.916567,2.50e-04,32.24 +49,0.051606,0.227170,0.125765,0.934641,0.065854,0.256620,0.137350,0.916779,2.50e-04,32.15 +50,0.051619,0.227199,0.125237,0.935068,0.065701,0.256321,0.137330,0.916969,2.50e-04,32.00 diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-5-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_153515/details/dataset_indices.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-5-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_153515/details/dataset_indices.txt new file mode 100644 index 0000000000000000000000000000000000000000..f91aae38b8b1f624b1a0c7430bd30022dfc05698 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-5-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_153515/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 (109440 samples): + Range: [342, 198017] + First 10: [61560, 61561, 61562, 61563, 61564, 61565, 61566, 61567, 61568, 61569] + Last 10: [1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310] + +Validation Indices (27360 samples): + Range: [0, 197846] + First 10: [3021, 3022, 3023, 3024, 3025, 3026, 3027, 3028, 3029, 3030] + Last 10: [61835, 61836, 61837, 61838, 61839, 61840, 61841, 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] diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-5-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_153515/details/results.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-5-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_153515/details/results.txt new file mode 100644 index 0000000000000000000000000000000000000000..7098cb623fce66c21c6262b871af5ef1d1d7266b --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-5-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_153515/details/results.txt @@ -0,0 +1,26 @@ +Regression Test Results - Efficiency Analysis +============================================================ +Model Version: 1.0+_E (Standard FNO) + +Efficiency Analysis: + - Train GMs Used: 2400 + - 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: 0.059633 +RMSE: 0.244199 +MAE: 0.127227 +R² Score: 0.923161 + +============================================================ +Training Performance: + - Total Training Time: 6986.85s + - Average Epoch Time: 139.74s +============================================================ diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-5-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_153515/details/training_config.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-5-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_153515/details/training_config.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee7f538ac906c5261e96ea01ae9cfc28e12c6f90 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-5-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_153515/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: 2400 +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: 109440 +Validation Samples: 27360 +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-5-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_153515 + +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) + +====================================================================== diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-5-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_153515/details/training_log.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-5-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_153515/details/training_log.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f171e22f9679035c9d7a33ef700ee6a63e865a8 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-5-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_153515/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) +1,0.491201,0.700858,0.415277,0.377190,0.264827,0.514614,0.314787,0.661961,1.00e-03,181.85 +2,0.192179,0.438383,0.267706,0.756554,0.142719,0.377781,0.229458,0.817797,1.00e-03,184.37 +3,0.112914,0.336027,0.199740,0.857087,0.102851,0.320703,0.187475,0.868731,1.00e-03,213.70 +4,0.085416,0.292260,0.169557,0.891916,0.087775,0.296268,0.172505,0.888000,1.00e-03,200.59 +5,0.072289,0.268866,0.154036,0.908566,0.078024,0.279328,0.156820,0.900456,1.00e-03,153.23 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+46,0.024324,0.155961,0.088561,0.969244,0.059494,0.243914,0.125104,0.924128,2.50e-04,139.00 +47,0.024262,0.155764,0.088419,0.969327,0.059566,0.244062,0.125070,0.924042,2.50e-04,135.02 +48,0.024121,0.155308,0.088248,0.969498,0.059685,0.244305,0.125045,0.923883,2.50e-04,138.07 +49,0.024017,0.154974,0.088024,0.969627,0.059752,0.244442,0.125032,0.923790,2.50e-04,138.64 +50,0.023925,0.154678,0.087899,0.969747,0.060024,0.244998,0.125368,0.923462,2.50e-04,138.62 diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-6-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_173211/details/dataset_indices.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-6-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_173211/details/dataset_indices.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ab43c8e587f31b39f0d38fa9e8343cf45fd8631 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-6-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_173211/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 (82080 samples): + Range: [0, 197960] + First 10: [88749, 88750, 88751, 88752, 88753, 88754, 88755, 88756, 88757, 88758] + Last 10: [151382, 151383, 151384, 151385, 151386, 151387, 151388, 151389, 151390, 151391] + +Validation Indices (20520 samples): + Range: [798, 197846] + First 10: [53067, 53068, 53069, 53070, 53071, 53072, 53073, 53074, 53075, 53076] + Last 10: [37040, 37041, 37042, 37043, 37044, 37045, 37046, 37047, 37048, 37049] + +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] diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-6-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_173211/details/results.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-6-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_173211/details/results.txt new file mode 100644 index 0000000000000000000000000000000000000000..b55232e136f29eef537cd3194682c5229501a8aa --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-6-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_173211/details/results.txt @@ -0,0 +1,26 @@ +Regression Test Results - Efficiency Analysis +============================================================ +Model Version: 1.0+_E (Standard FNO) + +Efficiency Analysis: + - Train GMs Used: 1800 + - 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: 0.064978 +RMSE: 0.254908 +MAE: 0.131048 +R² Score: 0.916299 + +============================================================ +Training Performance: + - Total Training Time: 5066.30s + - Average Epoch Time: 101.33s +============================================================ diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-6-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_173211/details/training_config.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-6-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_173211/details/training_config.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c5561a7d359ed8667dbd001a9bde555dd9705bf --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-6-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_173211/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: 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: 82080 +Validation Samples: 20520 +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-6-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_173211 + +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) + +====================================================================== diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-6-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_173211/details/training_log.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-6-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_173211/details/training_log.txt new file mode 100644 index 0000000000000000000000000000000000000000..1489bdd35c30f616fcfa9a16914832ea916eae27 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-6-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_173211/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) +1,0.531561,0.729082,0.434070,0.300340,0.301307,0.548915,0.341180,0.607957,1.00e-03,105.46 +2,0.234306,0.484051,0.297095,0.692350,0.175483,0.418907,0.264845,0.769611,1.00e-03,99.62 +3,0.142196,0.377088,0.229149,0.814168,0.120417,0.347011,0.211830,0.840708,1.00e-03,99.88 +4,0.102621,0.320345,0.189722,0.866026,0.103905,0.322344,0.188808,0.862512,1.00e-03,99.89 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+47,0.026600,0.163096,0.092230,0.965475,0.059194,0.243298,0.132014,0.920829,2.50e-04,104.57 +48,0.026676,0.163328,0.092292,0.965412,0.058608,0.242092,0.131025,0.921457,2.50e-04,100.00 +49,0.026187,0.161824,0.091682,0.965934,0.058937,0.242770,0.131077,0.921069,2.50e-04,99.26 +50,0.026143,0.161687,0.091486,0.966079,0.058767,0.242420,0.131143,0.921352,2.50e-04,99.53 diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-7-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_185705/details/dataset_indices.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-7-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_185705/details/dataset_indices.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7eb20ecb03288ccb5c52fa739aeeb57fc4f9941 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-7-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_185705/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 (54720 samples): + Range: [0, 197960] + First 10: [10146, 10147, 10148, 10149, 10150, 10151, 10152, 10153, 10154, 10155] + Last 10: [151382, 151383, 151384, 151385, 151386, 151387, 151388, 151389, 151390, 151391] + +Validation Indices (13680 samples): + Range: [399, 197732] + First 10: [47538, 47539, 47540, 47541, 47542, 47543, 47544, 47545, 47546, 47547] + Last 10: [77681, 77682, 77683, 77684, 77685, 77686, 77687, 77688, 77689, 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] diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-7-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_185705/details/results.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-7-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_185705/details/results.txt new file mode 100644 index 0000000000000000000000000000000000000000..57b6c8ca5047e897edcd21a962b7cf5b7b1e6680 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-7-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_185705/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: 57 + +Model Configuration: + - Hidden Channels: 64 + - Fourier Modes: 1536 + - Number of Layers: 4 + - Domain Padding: 0.1 + +REGRESSION (Floor Acceleration Response) +------------------------------------------------------------ +MSE Loss: 0.076497 +RMSE: 0.276580 +MAE: 0.147221 +R² Score: 0.901368 + +============================================================ +Training Performance: + - Total Training Time: 3360.42s + - Average Epoch Time: 67.21s +============================================================ diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-7-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_185705/details/training_config.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-7-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_185705/details/training_config.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f0f31f884bde22c9514ea760ed8f4c9100f78ba --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-7-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_185705/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: 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: 54720 +Validation Samples: 13680 +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-7-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_185705 + +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) + +====================================================================== diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-7-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_185705/details/training_log.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-7-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_185705/details/training_log.txt new file mode 100644 index 0000000000000000000000000000000000000000..009382bfe832d925033f602098b3bf9bc619c365 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-7-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_185705/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) +1,0.640899,0.800562,0.474049,0.170921,0.412755,0.642460,0.385981,0.478667,1.00e-03,72.80 +2,0.318697,0.564533,0.345671,0.589615,0.262044,0.511902,0.308571,0.665964,1.00e-03,66.81 +3,0.218933,0.467903,0.287272,0.718197,0.191123,0.437176,0.263851,0.756638,1.00e-03,66.82 +4,0.155336,0.394126,0.241817,0.800261,0.146276,0.382460,0.227005,0.814309,1.00e-03,67.04 +5,0.119528,0.345729,0.208041,0.846386,0.123091,0.350843,0.205371,0.843547,1.00e-03,67.29 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+28,0.034712,0.186313,0.106378,0.955466,0.075183,0.274195,0.145647,0.904702,5.00e-04,66.80 +29,0.034216,0.184976,0.105482,0.956195,0.075081,0.274009,0.145341,0.904713,5.00e-04,66.72 +30,0.033652,0.183444,0.104743,0.956879,0.075277,0.274366,0.145259,0.904497,5.00e-04,66.79 +31,0.033271,0.182402,0.104249,0.957301,0.075165,0.274163,0.145311,0.904665,5.00e-04,66.96 +32,0.033121,0.181992,0.104029,0.957493,0.074955,0.273779,0.144941,0.904858,5.00e-04,67.06 +33,0.032588,0.180521,0.103068,0.958256,0.075429,0.274644,0.144949,0.904248,5.00e-04,66.81 +34,0.032079,0.179106,0.102408,0.958872,0.075637,0.275022,0.145487,0.904034,5.00e-04,67.02 +35,0.032007,0.178904,0.102198,0.958980,0.076394,0.276395,0.145089,0.903083,5.00e-04,67.22 +36,0.031762,0.178219,0.102082,0.959297,0.074948,0.273767,0.144519,0.904836,5.00e-04,66.78 +37,0.030975,0.175997,0.100652,0.960362,0.075319,0.274442,0.144355,0.904417,5.00e-04,67.21 +38,0.030436,0.174459,0.099800,0.960986,0.075196,0.274219,0.144431,0.904497,5.00e-04,67.05 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+50,0.027567,0.166032,0.095172,0.964718,0.075591,0.274939,0.143480,0.903960,2.50e-04,66.80 diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-8-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_195333/details/dataset_indices.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-8-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_195333/details/dataset_indices.txt new file mode 100644 index 0000000000000000000000000000000000000000..10511b74025eb1755ec518651f018b6018396307 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-8-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_195333/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 (27360 samples): + Range: [0, 197789] + First 10: [150423, 150424, 150425, 150426, 150427, 150428, 150429, 150430, 150431, 150432] + Last 10: [52544, 52545, 52546, 52547, 52548, 52549, 52550, 52551, 52552, 52553] + +Validation Indices (6840 samples): + Range: [1425, 197960] + First 10: [83277, 83278, 83279, 83280, 83281, 83282, 83283, 83284, 83285, 83286] + Last 10: [12473, 12474, 12475, 12476, 12477, 12478, 12479, 12480, 12481, 12482] + +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] diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-8-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_195333/details/results.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-8-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_195333/details/results.txt new file mode 100644 index 0000000000000000000000000000000000000000..f61aeaa44be593acebfb7d3299b9811617771481 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-8-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_195333/details/results.txt @@ -0,0 +1,26 @@ +Regression Test Results - Efficiency Analysis +============================================================ +Model Version: 1.0+_E (Standard FNO) + +Efficiency Analysis: + - Train GMs Used: 600 + - 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: 0.103484 +RMSE: 0.321689 +MAE: 0.178798 +R² Score: 0.866646 + +============================================================ +Training Performance: + - Total Training Time: 1680.51s + - Average Epoch Time: 33.61s +============================================================ diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-8-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_195333/details/training_config.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-8-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_195333/details/training_config.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d90cc006eb00daad8841d52d64718e782bba1f0 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-8-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_195333/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: 600 +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: 27360 +Validation Samples: 6840 +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-8-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_195333 + +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) + +====================================================================== diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-8-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_195333/details/training_log.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-8-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_195333/details/training_log.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ee70211af52a265fa0c8cfddf28523388252e48 --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-8-FNO_v1.0+.E_h64_m1536_l4_e50_20251208_195333/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) +1,0.761858,0.872845,0.512414,0.033646,0.595391,0.771616,0.453660,0.179632,1.00e-03,38.55 +2,0.526440,0.725562,0.437807,0.330129,0.368992,0.607447,0.370045,0.491905,1.00e-03,33.20 +3,0.350452,0.591990,0.365109,0.555714,0.293422,0.541684,0.332447,0.595029,1.00e-03,33.32 +4,0.282500,0.531507,0.325324,0.642303,0.248234,0.498231,0.301580,0.657347,1.00e-03,33.14 +5,0.236321,0.486129,0.299068,0.700667,0.214742,0.463402,0.282681,0.703825,1.00e-03,33.37 +6,0.198560,0.445600,0.275001,0.748556,0.186029,0.431310,0.263501,0.743547,1.00e-03,33.35 +7,0.164724,0.405862,0.251156,0.791477,0.162221,0.402767,0.245898,0.776559,1.00e-03,33.34 +8,0.139472,0.373459,0.230048,0.823304,0.145306,0.381191,0.229985,0.799980,1.00e-03,33.29 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E-Test-1~15)/E-test-9-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_021211/details/training_config.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb12884067ac4f222325fd647cbd0a102bebba3c --- /dev/null +++ b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-9-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_021211/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: 2400 +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: 88320 +Validation Samples: 22080 +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-9-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_021211 + +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) + +====================================================================== diff --git a/Efficiency-Series (E-Base, E-Test-1~15)/E-test-9-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_021211/details/training_log.txt b/Efficiency-Series (E-Base, E-Test-1~15)/E-test-9-FNO_v1.0+.E_h64_m1536_l4_e50_20251209_021211/details/training_log.txt new file mode 100644 index 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