sync-o2-partial-artifacts
Browse files- .gitattributes +1 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/compiled/o2_data_efficiency_metrics.csv +4 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/compiled/o2_data_efficiency_metrics.json +116 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/logs/o2_gpu0_bilstm.log +13 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/logs/o2_gpu1_fno_transformer.log +39 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/logs/o2_postprocess_after_training.log +15 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/O2_data_efficiency_report.md +33 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/O2_data_efficiency_report.pdf +3 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/O2_data_efficiency_report.tex +42 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig1_mse_degradation.pdf +0 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig1_mse_degradation.png +3 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig2_r2_retention.pdf +0 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig2_r2_retention.png +3 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig3_retention_heatmap.pdf +0 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig3_retention_heatmap.png +3 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig4_training_curves.pdf +0 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig4_training_curves.png +3 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig5_results_table.pdf +0 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig5_results_table.png +3 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/o2_report_conclusions.json +5 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/o2_report_summary.csv +4 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/run_scripts/run_gpu0_bilstm_o2.sh +17 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/run_scripts/run_gpu1_fno_transformer_o2.sh +17 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/run_scripts/run_o2_postprocess_after_training.sh +26 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/BiLSTM/E-AC80/checkpoints/BiLSTM_E-AC80_best.pt +3 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/BiLSTM/E-AC80/config.json +81 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/BiLSTM/E-AC80/dataset_indices.pkl +3 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/BiLSTM/E-AC80/split_info.txt +8 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/BiLSTM/E-AC80/training_log.csv +12 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/FNO-Large/E-AC80/checkpoints/FNO-Large_E-AC80_best.pt +3 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/FNO-Large/E-AC80/config.json +87 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/FNO-Large/E-AC80/dataset_indices.pkl +3 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/FNO-Large/E-AC80/split_info.txt +8 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/FNO-Large/E-AC80/training_log.csv +38 -0
- experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/manifest.json +181 -0
.gitattributes
CHANGED
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@@ -59,3 +59,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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experiments/O1_baseline/2026-06-09_xgb2_full_bs64/artifact/report/O1_baseline_report.pdf filter=lfs diff=lfs merge=lfs -text
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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experiments/O1_baseline/2026-06-09_xgb2_full_bs64/artifact/report/O1_baseline_report.pdf filter=lfs diff=lfs merge=lfs -text
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experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/O2_data_efficiency_report.pdf filter=lfs diff=lfs merge=lfs -text
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experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/compiled/o2_data_efficiency_metrics.csv
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model,run_id,axis,train_gms_used,use_scales_count,pool_samples,train_samples,val_samples,test_samples,best_epoch,train_time_s,peak_gpu_gb,epochs,batch_size,lr,checkpoint,numel,numel_m,real_params,real_params_m,trainable,mse,rmse,mae,r2,pfa_mse_g2,pfa_rmse_g,pfa_mae_g,pfa_r2,loss,spectral_log_mse,high_freq_log_mse,latency_ms_per_sample,r2_retention,mse_ratio,time_ratio
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BiLSTM,E-Base,full,3000,57,171000,136800,34200,27018,,27026.021858215332,15.61366891860962,50,64,0.0003,/data/home/jason/Seismic-FNO/6-code/O1-baseline-comparison/results/runs/BiLSTM/checkpoints/BiLSTM_best.pt,8410113,8.410113,8410113,8.410113,8410113,0.0099188614842287,0.0995934811331983,0.0432213771548134,0.9872496731015952,0.0003300793328829,0.0181680855591055,0.0108249000931961,0.987565034951701,0.0099240713056515,0.1852839740596482,0.2222294335740114,1.0494697839021685,1.0,1.0,1.0
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FNO-Large,E-Base,full,3000,57,171000,136800,34200,27018,,7784.3661642074585,3.2975897789001465,50,64,0.001,6-code/O1-baseline-comparison/results/runs/FNO-Large-bs64/checkpoints/FNO-Large-bs64_best.pt,8505793,8.505793,16927169,16.927169,8505793,0.0448808919490714,0.2118511079722536,0.1050106563313501,0.9423072854931448,0.0010877546760695,0.0329811260582404,0.0204876376139049,0.9590213926454952,0.0449616025107302,0.3416421673399337,0.3977926703209573,0.1078980043530464,1.0,1.0,1.0
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Transformer,E-Base,full,3000,57,171000,136800,34200,27018,,8430.805659532547,2.5364460945129395,50,64,0.0003,/data/home/jason/Seismic-FNO/6-code/O1-baseline-comparison/results/runs/Transformer/checkpoints/Transformer_best.pt,7957775,7.957775,7957775,7.957775,7957775,0.0213903603177851,0.1462544369165773,0.0660383013369173,0.9725034887360728,0.000533425337507,0.023096002630479,0.0149489011169053,0.9799044509395886,0.0214709252808199,0.3250373078083033,0.3907267726411774,0.1057809218764305,1.0,1.0,1.0
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experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/compiled/o2_data_efficiency_metrics.json
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[
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{
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"model":"BiLSTM",
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"run_id":"E-Base",
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"axis":"full",
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"train_gms_used":3000,
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"use_scales_count":57,
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"pool_samples":171000,
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"val_samples":34200,
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"lr":0.0003,
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"checkpoint":"\/data\/home\/jason\/Seismic-FNO\/6-code\/O1-baseline-comparison\/results\/runs\/BiLSTM\/checkpoints\/BiLSTM_best.pt",
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"mse":0.0099188615,
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"mae":0.0432213772,
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"r2":0.9872496731,
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"loss":0.0099240713,
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},
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{
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"model":"FNO-Large",
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"run_id":"E-Base",
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"axis":"full",
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"train_gms_used":3000,
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"use_scales_count":57,
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"pool_samples":171000,
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"epochs":50,
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"batch_size":64,
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"lr":0.001,
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"checkpoint":"6-code\/O1-baseline-comparison\/results\/runs\/FNO-Large-bs64\/checkpoints\/FNO-Large-bs64_best.pt",
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"numel":8505793,
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"numel_m":8.505793,
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"real_params":16927169,
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"real_params_m":16.927169,
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"trainable":8505793,
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"mse":0.0448808919,
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"rmse":0.211851108,
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"mae":0.1050106563,
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"r2":0.9423072855,
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"pfa_mse_g2":0.0010877547,
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"loss":0.0449616025,
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"mse_ratio":1.0,
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"time_ratio":1.0
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},
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{
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"model":"Transformer",
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"run_id":"E-Base",
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"axis":"full",
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"train_gms_used":3000,
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"use_scales_count":57,
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"pool_samples":171000,
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"train_samples":136800,
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"val_samples":34200,
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"test_samples":27018,
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"best_epoch":"",
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"train_time_s":8430.8056595325,
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"peak_gpu_gb":2.5364460945,
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"epochs":50,
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"batch_size":64,
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"lr":0.0003,
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"checkpoint":"\/data\/home\/jason\/Seismic-FNO\/6-code\/O1-baseline-comparison\/results\/runs\/Transformer\/checkpoints\/Transformer_best.pt",
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"numel":7957775,
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"mse":0.0213903603,
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"rmse":0.1462544369,
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"mae":0.0660383013,
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"r2":0.9725034887,
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"pfa_mse_g2":0.0005334253,
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"pfa_rmse_g":0.0230960026,
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"pfa_mae_g":0.0149489011,
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"pfa_r2":0.9799044509,
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"loss":0.0214709253,
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"spectral_log_mse":0.3250373078,
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"time_ratio":1.0
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}
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]
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experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/logs/o2_gpu0_bilstm.log
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=== O2 queue start: BiLSTM E-AC80 ===
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BiLSTM E-AC80 epoch 001/50 train_mse=0.184514 val_mse=0.094526 val_r2=0.8806 peak=15.61GB
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BiLSTM E-AC80 epoch 002/50 train_mse=0.088498 val_mse=0.065684 val_r2=0.9170 peak=15.61GB
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BiLSTM E-AC80 epoch 003/50 train_mse=0.066572 val_mse=0.057646 val_r2=0.9272 peak=15.61GB
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BiLSTM E-AC80 epoch 004/50 train_mse=0.064251 val_mse=0.057081 val_r2=0.9279 peak=15.61GB
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BiLSTM E-AC80 epoch 005/50 train_mse=0.050086 val_mse=0.040376 val_r2=0.9490 peak=15.61GB
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BiLSTM E-AC80 epoch 006/50 train_mse=0.037317 val_mse=0.032665 val_r2=0.9587 peak=15.61GB
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BiLSTM E-AC80 epoch 007/50 train_mse=0.030899 val_mse=0.027043 val_r2=0.9658 peak=15.61GB
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BiLSTM E-AC80 epoch 008/50 train_mse=0.026124 val_mse=0.023634 val_r2=0.9702 peak=15.61GB
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BiLSTM E-AC80 epoch 009/50 train_mse=0.024447 val_mse=0.020375 val_r2=0.9743 peak=15.61GB
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BiLSTM E-AC80 epoch 010/50 train_mse=0.021730 val_mse=0.024054 val_r2=0.9696 peak=15.61GB
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BiLSTM E-AC80 epoch 011/50 train_mse=0.021081 val_mse=0.022259 val_r2=0.9719 peak=15.61GB
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experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/logs/o2_gpu1_fno_transformer.log
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|
| 1 |
+
|
| 2 |
+
=== O2 queue start: FNO-Large E-AC80 ===
|
| 3 |
+
FNO-Large E-AC80 epoch 001/50 train_mse=0.121265 val_mse=0.085454 val_r2=0.8921 peak=3.30GB
|
| 4 |
+
FNO-Large E-AC80 epoch 002/50 train_mse=0.059299 val_mse=0.073123 val_r2=0.9076 peak=3.30GB
|
| 5 |
+
FNO-Large E-AC80 epoch 003/50 train_mse=0.046376 val_mse=0.064540 val_r2=0.9185 peak=3.30GB
|
| 6 |
+
FNO-Large E-AC80 epoch 004/50 train_mse=0.040007 val_mse=0.058650 val_r2=0.9259 peak=3.30GB
|
| 7 |
+
FNO-Large E-AC80 epoch 005/50 train_mse=0.036330 val_mse=0.054976 val_r2=0.9306 peak=3.30GB
|
| 8 |
+
FNO-Large E-AC80 epoch 006/50 train_mse=0.032305 val_mse=0.054311 val_r2=0.9314 peak=3.30GB
|
| 9 |
+
FNO-Large E-AC80 epoch 007/50 train_mse=0.030493 val_mse=0.055501 val_r2=0.9299 peak=3.30GB
|
| 10 |
+
FNO-Large E-AC80 epoch 008/50 train_mse=0.029097 val_mse=0.050662 val_r2=0.9360 peak=3.30GB
|
| 11 |
+
FNO-Large E-AC80 epoch 009/50 train_mse=0.027164 val_mse=0.050450 val_r2=0.9363 peak=3.30GB
|
| 12 |
+
FNO-Large E-AC80 epoch 010/50 train_mse=0.026214 val_mse=0.049896 val_r2=0.9370 peak=3.30GB
|
| 13 |
+
FNO-Large E-AC80 epoch 011/50 train_mse=0.025146 val_mse=0.050880 val_r2=0.9357 peak=3.30GB
|
| 14 |
+
FNO-Large E-AC80 epoch 012/50 train_mse=0.024458 val_mse=0.052032 val_r2=0.9343 peak=3.30GB
|
| 15 |
+
FNO-Large E-AC80 epoch 013/50 train_mse=0.023643 val_mse=0.048264 val_r2=0.9390 peak=3.30GB
|
| 16 |
+
FNO-Large E-AC80 epoch 014/50 train_mse=0.023520 val_mse=0.048628 val_r2=0.9386 peak=3.30GB
|
| 17 |
+
FNO-Large E-AC80 epoch 015/50 train_mse=0.022679 val_mse=0.049527 val_r2=0.9374 peak=3.30GB
|
| 18 |
+
FNO-Large E-AC80 epoch 016/50 train_mse=0.022033 val_mse=0.049063 val_r2=0.9380 peak=3.30GB
|
| 19 |
+
FNO-Large E-AC80 epoch 017/50 train_mse=0.021457 val_mse=0.047159 val_r2=0.9404 peak=3.30GB
|
| 20 |
+
FNO-Large E-AC80 epoch 018/50 train_mse=0.021117 val_mse=0.048310 val_r2=0.9390 peak=3.30GB
|
| 21 |
+
FNO-Large E-AC80 epoch 019/50 train_mse=0.020792 val_mse=0.047705 val_r2=0.9398 peak=3.30GB
|
| 22 |
+
FNO-Large E-AC80 epoch 020/50 train_mse=0.020154 val_mse=0.047837 val_r2=0.9396 peak=3.30GB
|
| 23 |
+
FNO-Large E-AC80 epoch 021/50 train_mse=0.016622 val_mse=0.046132 val_r2=0.9417 peak=3.30GB
|
| 24 |
+
FNO-Large E-AC80 epoch 022/50 train_mse=0.016008 val_mse=0.047560 val_r2=0.9399 peak=3.30GB
|
| 25 |
+
FNO-Large E-AC80 epoch 023/50 train_mse=0.015775 val_mse=0.047003 val_r2=0.9406 peak=3.30GB
|
| 26 |
+
FNO-Large E-AC80 epoch 024/50 train_mse=0.015629 val_mse=0.048206 val_r2=0.9391 peak=3.30GB
|
| 27 |
+
FNO-Large E-AC80 epoch 025/50 train_mse=0.015429 val_mse=0.046298 val_r2=0.9415 peak=3.30GB
|
| 28 |
+
FNO-Large E-AC80 epoch 026/50 train_mse=0.015187 val_mse=0.047017 val_r2=0.9406 peak=3.30GB
|
| 29 |
+
FNO-Large E-AC80 epoch 027/50 train_mse=0.015193 val_mse=0.047117 val_r2=0.9405 peak=3.30GB
|
| 30 |
+
FNO-Large E-AC80 epoch 028/50 train_mse=0.014857 val_mse=0.046992 val_r2=0.9407 peak=3.30GB
|
| 31 |
+
FNO-Large E-AC80 epoch 029/50 train_mse=0.014601 val_mse=0.046547 val_r2=0.9412 peak=3.30GB
|
| 32 |
+
FNO-Large E-AC80 epoch 030/50 train_mse=0.014563 val_mse=0.047840 val_r2=0.9396 peak=3.30GB
|
| 33 |
+
FNO-Large E-AC80 epoch 031/50 train_mse=0.014507 val_mse=0.046321 val_r2=0.9415 peak=3.30GB
|
| 34 |
+
FNO-Large E-AC80 epoch 032/50 train_mse=0.014403 val_mse=0.047386 val_r2=0.9402 peak=3.30GB
|
| 35 |
+
FNO-Large E-AC80 epoch 033/50 train_mse=0.014147 val_mse=0.046901 val_r2=0.9408 peak=3.30GB
|
| 36 |
+
FNO-Large E-AC80 epoch 034/50 train_mse=0.014076 val_mse=0.048018 val_r2=0.9394 peak=3.30GB
|
| 37 |
+
FNO-Large E-AC80 epoch 035/50 train_mse=0.014131 val_mse=0.048091 val_r2=0.9393 peak=3.30GB
|
| 38 |
+
FNO-Large E-AC80 epoch 036/50 train_mse=0.013998 val_mse=0.047685 val_r2=0.9398 peak=3.30GB
|
| 39 |
+
FNO-Large E-AC80 epoch 037/50 train_mse=0.013801 val_mse=0.046387 val_r2=0.9414 peak=3.30GB
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/logs/o2_postprocess_after_training.log
ADDED
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| 1 |
+
Waiting for O2 training queues: GPU0=3914712 GPU1=3914516
|
| 2 |
+
2026-06-05 10:36:13 still waiting for O2 queues...
|
| 3 |
+
2026-06-05 11:06:13 still waiting for O2 queues...
|
| 4 |
+
2026-06-05 11:36:13 still waiting for O2 queues...
|
| 5 |
+
O2 training queues finished. Collecting results...
|
| 6 |
+
Wrote 6-code/O2-data-efficiency/results/compiled/o2_data_efficiency_metrics.csv
|
| 7 |
+
Generating O2 report...
|
| 8 |
+
/data/home/jason/Seismic-FNO/6-code/O2-data-efficiency/scripts/generate_o2_report.py:147: UserWarning: No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
|
| 9 |
+
axs[-1].legend(frameon=False, fontsize=9)
|
| 10 |
+
/data/home/jason/Seismic-FNO/6-code/O2-data-efficiency/scripts/generate_o2_report.py:210: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.
|
| 11 |
+
fig.tight_layout()
|
| 12 |
+
/data/home/jason/Seismic-FNO/6-code/O2-data-efficiency/scripts/generate_o2_report.py:232: UserWarning: No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
|
| 13 |
+
axs[-1].legend(frameon=False, fontsize=9)
|
| 14 |
+
Wrote O2 report to /data/home/jason/Seismic-FNO/6-code/O2-data-efficiency/results/report
|
| 15 |
+
O2 postprocess complete.
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/O2_data_efficiency_report.md
ADDED
|
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| 1 |
+
# O2 Data Efficiency Report
|
| 2 |
+
|
| 3 |
+
Generated: 2026-06-05 12:06:15
|
| 4 |
+
|
| 5 |
+
## Protocol
|
| 6 |
+
|
| 7 |
+
The O2 study keeps the fixed 474-GM test set from O1 unchanged and prunes only the supervised train/validation pool. FNO-Large, Transformer, and BiLSTM are trained with the O1-final hyperparameters. E-Base is imported from O1 full-data results.
|
| 8 |
+
|
| 9 |
+
## Key Conclusions
|
| 10 |
+
|
| 11 |
+
- FNO-Large: E-Base MSE=0.0449, R2=0.9423; reduced runs pending.
|
| 12 |
+
- Transformer: E-Base MSE=0.0214, R2=0.9725; reduced runs pending.
|
| 13 |
+
- BiLSTM: E-Base MSE=0.0099, R2=0.9872; reduced runs pending.
|
| 14 |
+
|
| 15 |
+
## Figures
|
| 16 |
+
|
| 17 |
+

|
| 18 |
+
|
| 19 |
+

|
| 20 |
+
|
| 21 |
+

|
| 22 |
+
|
| 23 |
+

|
| 24 |
+
|
| 25 |
+

|
| 26 |
+
|
| 27 |
+
## Quantitative Table
|
| 28 |
+
|
| 29 |
+
|Model|Run|Axis|GMs|ACs|Pool|MSE|R2|PFA RMSE|R2 Ret.|Time(h)|GPU(GB)|
|
| 30 |
+
|---|---|---|---|---|---|---|---|---|---|---|---|
|
| 31 |
+
|FNO-Large|E-Base|full|3000|57|171.0k|0.0449|0.9423|0.0330|1.0000|2.16|3.30|
|
| 32 |
+
|Transformer|E-Base|full|3000|57|171.0k|0.0214|0.9725|0.0231|1.0000|2.34|2.54|
|
| 33 |
+
|BiLSTM|E-Base|full|3000|57|171.0k|0.0099|0.9872|0.0182|1.0000|7.51|15.61|
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/O2_data_efficiency_report.pdf
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+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:da7a095d543ae6769b578905ba8503063d747dc8706c22fafab2a4d6e907558b
|
| 3 |
+
size 156136
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/O2_data_efficiency_report.tex
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| 1 |
+
\documentclass[11pt]{article}
|
| 2 |
+
\usepackage[margin=1in]{geometry}
|
| 3 |
+
\usepackage{graphicx}
|
| 4 |
+
\usepackage{booktabs}
|
| 5 |
+
\usepackage{float}
|
| 6 |
+
\title{O2 Data Efficiency Report}
|
| 7 |
+
\author{Seismic-FNO Experiments}
|
| 8 |
+
\date{2026-06-05}
|
| 9 |
+
\begin{document}
|
| 10 |
+
\maketitle
|
| 11 |
+
|
| 12 |
+
\section*{Protocol}
|
| 13 |
+
The O2 study keeps the fixed 474-GM test set from O1 unchanged and prunes only
|
| 14 |
+
the supervised train/validation pool. FNO-Large, Transformer, and BiLSTM are
|
| 15 |
+
trained with the O1-final hyperparameters. E-Base is imported from O1 full-data
|
| 16 |
+
results.
|
| 17 |
+
|
| 18 |
+
\section*{Key Conclusions}
|
| 19 |
+
\begin{itemize}
|
| 20 |
+
\item FNO-Large: E-Base MSE=0.0449, R2=0.9423; reduced runs pending.
|
| 21 |
+
\item Transformer: E-Base MSE=0.0214, R2=0.9725; reduced runs pending.
|
| 22 |
+
\item BiLSTM: E-Base MSE=0.0099, R2=0.9872; reduced runs pending.
|
| 23 |
+
\end{itemize}
|
| 24 |
+
|
| 25 |
+
\section*{Figures}
|
| 26 |
+
\begin{figure}[H]\centering\includegraphics[width=\linewidth]{figures/fig1_mse_degradation.png}\caption{Test MSE degradation.}\end{figure}
|
| 27 |
+
\begin{figure}[H]\centering\includegraphics[width=\linewidth]{figures/fig2_r2_retention.png}\caption{R2 retention relative to each model's E-Base.}\end{figure}
|
| 28 |
+
\begin{figure}[H]\centering\includegraphics[width=\linewidth]{figures/fig3_retention_heatmap.png}\caption{Retention heatmap over GM and AC budgets.}\end{figure}
|
| 29 |
+
\begin{figure}[H]\centering\includegraphics[width=\linewidth]{figures/fig4_training_curves.png}\caption{Representative validation curves.}\end{figure}
|
| 30 |
+
|
| 31 |
+
\section*{Quantitative Table}
|
| 32 |
+
\small
|
| 33 |
+
\begin{tabular}{llrrrrrr}
|
| 34 |
+
\toprule
|
| 35 |
+
Model & Run & GMs & ACs & Pool & MSE & $R^2$ & $R^2$ Ret. \\
|
| 36 |
+
\midrule
|
| 37 |
+
FNO-Large & E-Base & 3000 & 57 & 171.0k & 0.0449 & 0.9423 & 1.0000 \\
|
| 38 |
+
Transformer & E-Base & 3000 & 57 & 171.0k & 0.0214 & 0.9725 & 1.0000 \\
|
| 39 |
+
BiLSTM & E-Base & 3000 & 57 & 171.0k & 0.0099 & 0.9872 & 1.0000 \\
|
| 40 |
+
\bottomrule
|
| 41 |
+
\end{tabular}
|
| 42 |
+
\end{document}
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig1_mse_degradation.pdf
ADDED
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|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig1_mse_degradation.png
ADDED
|
Git LFS Details
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig2_r2_retention.pdf
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ADDED
|
Git LFS Details
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig3_retention_heatmap.pdf
ADDED
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experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig3_retention_heatmap.png
ADDED
|
Git LFS Details
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig4_training_curves.pdf
ADDED
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experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig4_training_curves.png
ADDED
|
Git LFS Details
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig5_results_table.pdf
ADDED
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|
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experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/figures/fig5_results_table.png
ADDED
|
Git LFS Details
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/o2_report_conclusions.json
ADDED
|
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| 1 |
+
[
|
| 2 |
+
"FNO-Large: E-Base MSE=0.0449, R2=0.9423; reduced runs pending.",
|
| 3 |
+
"Transformer: E-Base MSE=0.0214, R2=0.9725; reduced runs pending.",
|
| 4 |
+
"BiLSTM: E-Base MSE=0.0099, R2=0.9872; reduced runs pending."
|
| 5 |
+
]
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/report/o2_report_summary.csv
ADDED
|
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| 1 |
+
model,run_id,axis,train_gms_used,use_scales_count,pool_samples,train_samples,val_samples,test_samples,best_epoch,train_time_s,peak_gpu_gb,epochs,batch_size,lr,checkpoint,numel,numel_m,real_params,real_params_m,trainable,mse,rmse,mae,r2,pfa_mse_g2,pfa_rmse_g,pfa_mae_g,pfa_r2,loss,spectral_log_mse,high_freq_log_mse,latency_ms_per_sample,r2_retention,mse_ratio,time_ratio
|
| 2 |
+
FNO-Large,E-Base,full,3000,57,171000,136800,34200,27018,,7784.366164207458,3.2975897789001465,50,64,0.001,6-code/O1-baseline-comparison/results/runs/FNO-Large-bs64/checkpoints/FNO-Large-bs64_best.pt,8505793,8.505793,16927169,16.927169,8505793,0.0448808919490714,0.2118511079722536,0.1050106563313501,0.9423072854931448,0.0010877546760695,0.0329811260582404,0.0204876376139049,0.9590213926454952,0.0449616025107302,0.3416421673399337,0.3977926703209573,0.1078980043530464,1.0,1.0,1.0
|
| 3 |
+
Transformer,E-Base,full,3000,57,171000,136800,34200,27018,,8430.805659532547,2.5364460945129395,50,64,0.0003,/data/home/jason/Seismic-FNO/6-code/O1-baseline-comparison/results/runs/Transformer/checkpoints/Transformer_best.pt,7957775,7.957775,7957775,7.957775,7957775,0.0213903603177851,0.1462544369165773,0.0660383013369173,0.9725034887360728,0.000533425337507,0.023096002630479,0.0149489011169053,0.9799044509395886,0.0214709252808199,0.3250373078083033,0.3907267726411774,0.1057809218764305,1.0,1.0,1.0
|
| 4 |
+
BiLSTM,E-Base,full,3000,57,171000,136800,34200,27018,,27026.02185821533,15.61366891860962,50,64,0.0003,/data/home/jason/Seismic-FNO/6-code/O1-baseline-comparison/results/runs/BiLSTM/checkpoints/BiLSTM_best.pt,8410113,8.410113,8410113,8.410113,8410113,0.0099188614842287,0.0995934811331983,0.0432213771548134,0.9872496731015952,0.0003300793328829,0.0181680855591055,0.0108249000931961,0.987565034951701,0.0099240713056515,0.1852839740596482,0.2222294335740114,1.0494697839021685,1.0,1.0,1.0
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/run_scripts/run_gpu0_bilstm_o2.sh
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env bash
|
| 2 |
+
set -euo pipefail
|
| 3 |
+
cd /data/home/jason/Seismic-FNO
|
| 4 |
+
export PYTHONDONTWRITEBYTECODE=1
|
| 5 |
+
export CUDA_VISIBLE_DEVICES=0
|
| 6 |
+
|
| 7 |
+
/data/home/jason/miniconda3/envs/sefno/bin/python 6-code/O2-data-efficiency/scripts/run_o2_queue.py \
|
| 8 |
+
--models BiLSTM \
|
| 9 |
+
--python /data/home/jason/miniconda3/envs/sefno/bin/python \
|
| 10 |
+
--epochs 50 \
|
| 11 |
+
--batch_size 64 \
|
| 12 |
+
--eval_batch_size 64 \
|
| 13 |
+
--base_data_dir /data/home/jason/data/SesimicTransformerData \
|
| 14 |
+
--building_dir /data/home/jason/data/SesimicTransformerData/MDOF/knet-250/Data/fno \
|
| 15 |
+
--output_root 6-code/O2-data-efficiency/results \
|
| 16 |
+
--no_progress \
|
| 17 |
+
--log_interval 100
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/run_scripts/run_gpu1_fno_transformer_o2.sh
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env bash
|
| 2 |
+
set -euo pipefail
|
| 3 |
+
cd /data/home/jason/Seismic-FNO
|
| 4 |
+
export PYTHONDONTWRITEBYTECODE=1
|
| 5 |
+
export CUDA_VISIBLE_DEVICES=1
|
| 6 |
+
|
| 7 |
+
/data/home/jason/miniconda3/envs/sefno/bin/python 6-code/O2-data-efficiency/scripts/run_o2_queue.py \
|
| 8 |
+
--models FNO-Large Transformer \
|
| 9 |
+
--python /data/home/jason/miniconda3/envs/sefno/bin/python \
|
| 10 |
+
--epochs 50 \
|
| 11 |
+
--batch_size 64 \
|
| 12 |
+
--eval_batch_size 64 \
|
| 13 |
+
--base_data_dir /data/home/jason/data/SesimicTransformerData \
|
| 14 |
+
--building_dir /data/home/jason/data/SesimicTransformerData/MDOF/knet-250/Data/fno \
|
| 15 |
+
--output_root 6-code/O2-data-efficiency/results \
|
| 16 |
+
--no_progress \
|
| 17 |
+
--log_interval 100
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/run_scripts/run_o2_postprocess_after_training.sh
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env bash
|
| 2 |
+
set -euo pipefail
|
| 3 |
+
cd /data/home/jason/Seismic-FNO
|
| 4 |
+
export PYTHONDONTWRITEBYTECODE=1
|
| 5 |
+
|
| 6 |
+
GPU0_PID_FILE=6-code/O2-data-efficiency/results/pids/o2_gpu0_bilstm.pid
|
| 7 |
+
GPU1_PID_FILE=6-code/O2-data-efficiency/results/pids/o2_gpu1_fno_transformer.pid
|
| 8 |
+
|
| 9 |
+
GPU0_PID=$(cat "$GPU0_PID_FILE")
|
| 10 |
+
GPU1_PID=$(cat "$GPU1_PID_FILE")
|
| 11 |
+
|
| 12 |
+
echo "Waiting for O2 training queues: GPU0=$GPU0_PID GPU1=$GPU1_PID"
|
| 13 |
+
while kill -0 "$GPU0_PID" 2>/dev/null || kill -0 "$GPU1_PID" 2>/dev/null; do
|
| 14 |
+
date '+%Y-%m-%d %H:%M:%S still waiting for O2 queues...'
|
| 15 |
+
sleep 1800
|
| 16 |
+
done
|
| 17 |
+
|
| 18 |
+
echo "O2 training queues finished. Collecting results..."
|
| 19 |
+
/data/home/jason/miniconda3/envs/sefno/bin/python 6-code/O2-data-efficiency/scripts/collect_o2_results.py \
|
| 20 |
+
--results_root 6-code/O2-data-efficiency/results
|
| 21 |
+
|
| 22 |
+
echo "Generating O2 report..."
|
| 23 |
+
/data/home/jason/miniconda3/envs/sefno/bin/python 6-code/O2-data-efficiency/scripts/generate_o2_report.py \
|
| 24 |
+
--results_root 6-code/O2-data-efficiency/results
|
| 25 |
+
|
| 26 |
+
echo "O2 postprocess complete."
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/BiLSTM/E-AC80/checkpoints/BiLSTM_E-AC80_best.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0fe8a5bcecaaf3ad346a6974ba7419e084e48d480fb36579d56bc855df0435da
|
| 3 |
+
size 100941869
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/BiLSTM/E-AC80/config.json
ADDED
|
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "BiLSTM",
|
| 3 |
+
"run_id": "E-AC80",
|
| 4 |
+
"axis": "ac",
|
| 5 |
+
"seed": 42,
|
| 6 |
+
"epochs": 50,
|
| 7 |
+
"batch_size": 64,
|
| 8 |
+
"eval_batch_size": 64,
|
| 9 |
+
"lr": 0.0003,
|
| 10 |
+
"base_lr": 0.001,
|
| 11 |
+
"bilstm_lr": 0.0003,
|
| 12 |
+
"transformer_lr": 0.0003,
|
| 13 |
+
"weight_decay": 0.0001,
|
| 14 |
+
"scheduler_step": 20,
|
| 15 |
+
"scheduler_gamma": 0.5,
|
| 16 |
+
"grad_clip": 1.0,
|
| 17 |
+
"train_gms_used": 3000,
|
| 18 |
+
"use_scales_count": 46,
|
| 19 |
+
"train_gms": 2400,
|
| 20 |
+
"val_gms": 600,
|
| 21 |
+
"test_gms": 474,
|
| 22 |
+
"train_samples": 110400,
|
| 23 |
+
"val_samples": 27600,
|
| 24 |
+
"test_samples": 27018,
|
| 25 |
+
"scale_indices": [
|
| 26 |
+
0,
|
| 27 |
+
1,
|
| 28 |
+
2,
|
| 29 |
+
4,
|
| 30 |
+
5,
|
| 31 |
+
6,
|
| 32 |
+
7,
|
| 33 |
+
9,
|
| 34 |
+
10,
|
| 35 |
+
11,
|
| 36 |
+
12,
|
| 37 |
+
14,
|
| 38 |
+
15,
|
| 39 |
+
16,
|
| 40 |
+
17,
|
| 41 |
+
19,
|
| 42 |
+
20,
|
| 43 |
+
21,
|
| 44 |
+
22,
|
| 45 |
+
24,
|
| 46 |
+
25,
|
| 47 |
+
26,
|
| 48 |
+
27,
|
| 49 |
+
29,
|
| 50 |
+
30,
|
| 51 |
+
31,
|
| 52 |
+
32,
|
| 53 |
+
34,
|
| 54 |
+
35,
|
| 55 |
+
36,
|
| 56 |
+
37,
|
| 57 |
+
39,
|
| 58 |
+
40,
|
| 59 |
+
41,
|
| 60 |
+
42,
|
| 61 |
+
44,
|
| 62 |
+
45,
|
| 63 |
+
46,
|
| 64 |
+
47,
|
| 65 |
+
49,
|
| 66 |
+
50,
|
| 67 |
+
51,
|
| 68 |
+
52,
|
| 69 |
+
54,
|
| 70 |
+
55,
|
| 71 |
+
56
|
| 72 |
+
],
|
| 73 |
+
"split": "fixed_474_test_full_57_factors_reduced_train_val",
|
| 74 |
+
"params": {
|
| 75 |
+
"numel": 8410113,
|
| 76 |
+
"numel_m": 8.410113,
|
| 77 |
+
"real_params": 8410113,
|
| 78 |
+
"real_params_m": 8.410113,
|
| 79 |
+
"trainable": 8410113
|
| 80 |
+
}
|
| 81 |
+
}
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/BiLSTM/E-AC80/dataset_indices.pkl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:350b63e638363a4dd6ba42f937de91a93b2ca9eac0a362d75e26696effba9c3e
|
| 3 |
+
size 1348786
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/BiLSTM/E-AC80/split_info.txt
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Canonical split: fixed 474-GM test + 3000-GM pool + 80/20 train/val
|
| 2 |
+
Train GMs: 2400
|
| 3 |
+
Val GMs: 600
|
| 4 |
+
Test GMs: 474
|
| 5 |
+
Train samples: 110400
|
| 6 |
+
Val samples: 27600
|
| 7 |
+
Test samples: 27018
|
| 8 |
+
Scale count: 46
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/BiLSTM/E-AC80/training_log.csv
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
epoch,train_mse,train_rmse,train_mae,train_r2,val_mse,val_rmse,val_mae,val_r2,val_pfa_rmse_g,lr,train_max_grad_norm,epoch_s,gpu_peak_gb
|
| 2 |
+
1,0.1845143684217665,0.4295513571411066,0.24800047843896247,0.7669326353976882,0.09452598470052083,0.3074507841923986,0.17222814416562876,0.8806167572857764,0.06258696102673016,0.0003,113.3521728515625,437.21639227867126,15.61366891860962
|
| 3 |
+
2,0.08849822482344033,0.29748651200254494,0.16708426787298084,0.8882144071291098,0.0656840711628642,0.25628903831975375,0.1380961776187915,0.917043155541427,0.048389819792850536,0.0003,347.7506408691406,438.04145193099976,15.61366891860962
|
| 4 |
+
3,0.06657224863098439,0.2580159852237539,0.1417162893396645,0.9159099709839427,0.05764608892321011,0.24009599939026496,0.13119099490253247,0.9271948655467708,0.04335682339086055,0.0003,205.78515625,433.01851177215576,15.61366891860962
|
| 5 |
+
4,0.06425107987261049,0.2534779672330723,0.13983717831229242,0.9188419306992228,0.05708125596198483,0.23891683900885854,0.13146831765879755,0.9279082311966139,0.0415390293648752,0.0003,188.76846313476562,430.7814738750458,15.61366891860962
|
| 6 |
+
5,0.05008617020906458,0.2237993972491092,0.11983992691408608,0.9367341860308024,0.04037563290213617,0.20093688785819336,0.09923721318194256,0.9490068895048542,0.03792927893725086,0.0003,24.431541442871094,450.4718918800354,15.61366891860962
|
| 7 |
+
6,0.03731727703665766,0.19317680253244088,0.09860245896491451,0.9528630777996946,0.03266525762585626,0.18073532478698306,0.09113527994791666,0.9587448425760885,0.0329786106309215,0.0003,85.50286102294922,514.9481568336487,15.61366891860962
|
| 8 |
+
7,0.030898608692556187,0.17578000083216574,0.08979302871188104,0.9609707505640337,0.027042742428986924,0.1644467768884113,0.08628786313264267,0.9658458963079155,0.03338080120637214,0.0003,6.544026851654053,499.80085849761963,15.61366891860962
|
| 9 |
+
8,0.026124482508488898,0.16163069791499662,0.08127886158229072,0.9670011374106635,0.023634362654386513,0.15373471518946694,0.07491210201539855,0.9701505690514213,0.028048782169096887,0.0003,26.59440040588379,464.66706681251526,15.61366891860962
|
| 10 |
+
9,0.0244467155419686,0.15635445481970955,0.07858170639554084,0.9691203908836945,0.020375159266375113,0.14274158212089116,0.06738522627825898,0.974266836873002,0.026637090500559478,0.0003,30.914405822753906,446.49894666671753,15.61366891860962
|
| 11 |
+
10,0.021730341876117505,0.14741214968962874,0.07422529699942916,0.9725515493643391,0.024054128541071057,0.1550939345721523,0.07450153486611187,0.9696204183961069,0.026002763604478115,0.0003,10.194475173950195,451.94559621810913,15.61366891860962
|
| 12 |
+
11,0.021080626250557278,0.14519168795271056,0.07274680407243074,0.9733722308184185,0.022258744493567427,0.14919364763141701,0.07787581567146928,0.9718879300246548,0.025471897251637635,0.0003,38.406463623046875,448.4989433288574,15.61366891860962
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/FNO-Large/E-AC80/checkpoints/FNO-Large_E-AC80_best.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f7783fa4d617a8778b005e7c8666113ef8c08edd017d7cc94080bbc38abff3e5
|
| 3 |
+
size 203221651
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/FNO-Large/E-AC80/config.json
ADDED
|
@@ -0,0 +1,87 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
| 1 |
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{
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experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/FNO-Large/E-AC80/dataset_indices.pkl
ADDED
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version https://git-lfs.github.com/spec/v1
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size 1348786
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experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/FNO-Large/E-AC80/split_info.txt
ADDED
|
@@ -0,0 +1,8 @@
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|
| 1 |
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Canonical split: fixed 474-GM test + 3000-GM pool + 80/20 train/val
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| 2 |
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Train GMs: 2400
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| 3 |
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Val GMs: 600
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| 4 |
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Test GMs: 474
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| 5 |
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Train samples: 110400
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| 6 |
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Val samples: 27600
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| 7 |
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Test samples: 27018
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Scale count: 46
|
experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/artifact/runs/FNO-Large/E-AC80/training_log.csv
ADDED
|
@@ -0,0 +1,38 @@
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experiments/O2_data_efficiency/2026-06-09_xgb2_partial_EAC80/manifest.json
ADDED
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@@ -0,0 +1,181 @@
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| 1 |
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 10 |
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|
| 11 |
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|
| 12 |
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|
| 181 |
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}
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